From 9b3b52db71d0e4108b0453ee8fce61a09c055ce1 Mon Sep 17 00:00:00 2001 From: morriscb Date: Mon, 6 Nov 2023 22:55:41 +0000 Subject: [PATCH] Update notebooks --- ..._with_the_stimulus_and_trials_tables.ipynb | 488 +- .../examples/nb/brain_observatory.ipynb | 502 +- .../nb/brain_observatory_analysis.ipynb | 340 +- .../nb/brain_observatory_monitor.ipynb | 206 +- .../nb/brain_observatory_stimuli.ipynb | 224 +- .../examples/nb/cell_specimen_mapping.ipynb | 118 +- .../examples/nb/cell_types.ipynb | 392 +- .../examples/nb/download_data_via_api.ipynb | 282 +- .../examples/nb/ecephys_data_access.ipynb | 458 +- .../examples/nb/ecephys_lfp_analysis.ipynb | 664 +- .../examples/nb/ecephys_optotagging.ipynb | 546 +- .../examples/nb/ecephys_quality_metrics.ipynb | 568 +- .../examples/nb/ecephys_quickstart.ipynb | 348 +- .../nb/ecephys_receptive_fields.ipynb | 606 +- .../examples/nb/ecephys_session.ipynb | 1674 +- .../examples/nb/image_download.ipynb | 534 +- .../examples/nb/mouse_connectivity.ipynb | 342 +- .../examples/nb/receptive_fields.ipynb | 296 +- .../examples/nb/reference_space.ipynb | 382 +- ..._behavior_compare_across_trial_types.ipynb | 2341 +- .../nb/visual_behavior_load_ophys_data.ipynb | 2290 +- .../nb/visual_behavior_mouse_history.ipynb | 5379 +++-- ...al_behavior_neuropixels_LFP_analysis.ipynb | 604 +- ...opixels_analyzing_behavior_only_data.ipynb | 542 +- ...ual_behavior_neuropixels_data_access.ipynb | 758 +- ...ehavior_neuropixels_dataset_manifest.ipynb | 824 +- ...behavior_neuropixels_quality_metrics.ipynb | 708 +- ...sual_behavior_neuropixels_quickstart.ipynb | 434 +- .../visual_behavior_ophys_data_access.ipynb | 19814 ++++++++++------ ...sual_behavior_ophys_dataset_manifest.ipynb | 3759 ++- 30 files changed, 26754 insertions(+), 19669 deletions(-) diff --git a/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb b/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb index efe11d88a..afb70d925 100644 --- a/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb +++ b/doc_template/examples_root/examples/nb/aligning_behavioral_data_to_task_events_with_the_stimulus_and_trials_tables.ipynb @@ -5,10 +5,10 @@ "id": "da2b6c9c", "metadata": { "papermill": { - "duration": 0.012736, - "end_time": "2023-09-27T22:49:24.886772", + "duration": 0.007024, + "end_time": "2023-11-06T22:21:30.173288", "exception": false, - "start_time": "2023-09-27T22:49:24.874036", + "start_time": "2023-11-06T22:21:30.166264", "status": "completed" }, "tags": [] @@ -30,10 +30,10 @@ "id": "95acc7b6", "metadata": { "papermill": { - "duration": 0.008849, - "end_time": "2023-09-27T22:49:24.905348", + "duration": 0.006052, + "end_time": "2023-11-06T22:21:30.185576", "exception": false, - "start_time": "2023-09-27T22:49:24.896499", + "start_time": "2023-11-06T22:21:30.179524", "status": "completed" }, "tags": [] @@ -48,16 +48,16 @@ "id": "057695ee", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:24.929075Z", - "iopub.status.busy": "2023-09-27T22:49:24.928586Z", - "iopub.status.idle": "2023-09-27T22:49:32.054343Z", - "shell.execute_reply": "2023-09-27T22:49:32.053219Z" + "iopub.execute_input": "2023-11-06T22:21:30.199461Z", + "iopub.status.busy": "2023-11-06T22:21:30.198828Z", + "iopub.status.idle": "2023-11-06T22:21:35.158393Z", + "shell.execute_reply": "2023-11-06T22:21:35.157615Z" }, "papermill": { - "duration": 7.140118, - "end_time": "2023-09-27T22:49:32.057105", + "duration": 4.968817, + "end_time": "2023-11-06T22:21:35.160371", "exception": false, - "start_time": "2023-09-27T22:49:24.916987", + "start_time": "2023-11-06T22:21:30.191554", "status": "completed" }, "tags": [] @@ -89,10 +89,10 @@ "id": "fae528e5", "metadata": { "papermill": { - "duration": 0.008891, - "end_time": "2023-09-27T22:49:32.076807", + "duration": 0.00624, + "end_time": "2023-11-06T22:21:35.173360", "exception": false, - "start_time": "2023-09-27T22:49:32.067916", + "start_time": "2023-11-06T22:21:35.167120", "status": "completed" }, "tags": [] @@ -107,16 +107,16 @@ "id": "e9951ca8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:32.096832Z", - "iopub.status.busy": "2023-09-27T22:49:32.095662Z", - "iopub.status.idle": "2023-09-27T22:49:32.102048Z", - "shell.execute_reply": "2023-09-27T22:49:32.100840Z" + "iopub.execute_input": "2023-11-06T22:21:35.187687Z", + "iopub.status.busy": "2023-11-06T22:21:35.186939Z", + "iopub.status.idle": "2023-11-06T22:21:35.190568Z", + "shell.execute_reply": "2023-11-06T22:21:35.189844Z" }, "papermill": { - "duration": 0.018772, - "end_time": "2023-09-27T22:49:32.104328", + "duration": 0.012369, + "end_time": "2023-11-06T22:21:35.192067", "exception": false, - "start_time": "2023-09-27T22:49:32.085556", + "start_time": "2023-11-06T22:21:35.179698", "status": "completed" }, "tags": [ @@ -135,16 +135,16 @@ "id": "5cdb0de7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:32.149755Z", - "iopub.status.busy": "2023-09-27T22:49:32.149040Z", - "iopub.status.idle": "2023-09-27T22:49:44.965854Z", - "shell.execute_reply": "2023-09-27T22:49:44.964729Z" + "iopub.execute_input": "2023-11-06T22:21:35.225141Z", + "iopub.status.busy": "2023-11-06T22:21:35.224660Z", + "iopub.status.idle": "2023-11-06T22:21:45.834978Z", + "shell.execute_reply": "2023-11-06T22:21:45.834289Z" }, "papermill": { - "duration": 12.829293, - "end_time": "2023-09-27T22:49:44.968252", + "duration": 10.619421, + "end_time": "2023-11-06T22:21:45.836667", "exception": false, - "start_time": "2023-09-27T22:49:32.138959", + "start_time": "2023-11-06T22:21:35.217246", "status": "completed" }, "tags": [] @@ -154,7 +154,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -162,15 +162,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp5r2zzn9h/_downloaded_data.json\n", + "/tmp/tmpn7bnnmv2/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.17MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.32MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 17.2MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.09MMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 14.6MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.14MMB/s]\n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 5.22MMB/s]\n", + "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 20.6MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.14MMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 16.3MMB/s]\n" ] } ], @@ -186,10 +186,10 @@ "id": "10965f32", "metadata": { "papermill": { - 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"ecephys_session_1065437523.nwb: 100%|██████████| 3.20G/3.20G [03:03<00:00, 17.4MMB/s]\n", + "ecephys_session_1065437523.nwb: 100%|██████████| 3.20G/3.20G [02:51<00:00, 18.6MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.5.1 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.5.0 because version 2.6.0-alpha is already loaded.\n", @@ -300,16 +300,16 @@ "id": "dfcf3916", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:53:57.763050Z", - "iopub.status.busy": "2023-09-27T22:53:57.762363Z", - "iopub.status.idle": "2023-09-27T22:53:57.825783Z", - "shell.execute_reply": "2023-09-27T22:53:57.824673Z" + "iopub.execute_input": "2023-11-06T22:24:50.943019Z", + "iopub.status.busy": "2023-11-06T22:24:50.942397Z", + "iopub.status.idle": "2023-11-06T22:24:50.951530Z", + "shell.execute_reply": "2023-11-06T22:24:50.950831Z" }, "papermill": { - 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This can take some time.\n", - "2023-09-27 20:59:15,304 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514340576\n", + "2023-11-06 22:54:53,694 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514340576\n", "INFO:allensdk.api.api.retrieve_file_over_http:Downloading URL: http://api.brain-map.org/api/v2/well_known_file_download/514340576\n" ] }, @@ -1679,10 +1679,10 @@ "id": "cf116154", "metadata": { "papermill": { - "duration": 0.021757, - "end_time": "2023-09-27T20:59:28.898038", + "duration": 0.01339, + "end_time": "2023-11-06T22:55:11.753290", "exception": false, - "start_time": "2023-09-27T20:59:28.876281", + "start_time": "2023-11-06T22:55:11.739900", "status": "completed" }, "pycharm": { @@ -1701,16 +1701,16 @@ "id": "d1cbbe0d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:28.940884Z", - "iopub.status.busy": "2023-09-27T20:59:28.940508Z", - 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"output_path": "/tmp/tmp75jihq_g/scratch_nb.ipynb", + "output_path": "/tmp/tmpbrx29qgp/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp75jihq_g", + "output_dir": "/tmp/tmpbrx29qgp", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T20:50:54.147161", + "start_time": "2023-11-06T22:47:24.680459", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/brain_observatory_analysis.ipynb b/doc_template/examples_root/examples/nb/brain_observatory_analysis.ipynb index 4079f2d9e..d3e5f6000 100644 --- a/doc_template/examples_root/examples/nb/brain_observatory_analysis.ipynb +++ b/doc_template/examples_root/examples/nb/brain_observatory_analysis.ipynb @@ -5,10 +5,10 @@ "id": "867901ba", "metadata": { "papermill": { - "duration": 0.008537, - "end_time": "2023-09-27T21:15:33.815674", + "duration": 0.006613, + "end_time": "2023-11-06T20:58:47.552748", "exception": false, - "start_time": "2023-09-27T21:15:33.807137", + "start_time": "2023-11-06T20:58:47.546135", "status": "completed" }, "pycharm": { @@ -29,16 +29,16 @@ "id": "90c1e63e", "metadata": { "execution": { - 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"2023-09-27 21:45:10,051 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_energy&resolution=100\n", - "2023-09-27 21:45:10,300 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_fraction&resolution=100\n", - "2023-09-27 21:45:10,385 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_density&resolution=100\n", - "2023-09-27 21:45:10,478 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_energy&resolution=100\n" + "2023-11-06 22:07:54,750 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_density&resolution=100\n", + "2023-11-06 22:07:54,966 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=projection_energy&resolution=100\n", + "2023-11-06 22:07:55,222 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_fraction&resolution=100\n", + "2023-11-06 22:07:55,312 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_density&resolution=100\n", + "2023-11-06 22:07:55,416 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download_file/183282970?image=injection_energy&resolution=100\n" ] } ], @@ -444,10 +444,10 @@ "id": "96e57a7b", "metadata": { "papermill": { - 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"/tmp/ipykernel_3699/1972217619.py:1: VisibleDeprecationWarning: Function download_expression_grid_data is deprecated. Use download_gene_expression_grid_data instead\n", + "/tmp/ipykernel_3701/1972217619.py:1: VisibleDeprecationWarning: Function download_expression_grid_data is deprecated. Use download_gene_expression_grid_data instead\n", " gda.download_expression_grid_data(\n", - "2023-09-27 21:45:10,595 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download/183282970?include=projection_density,projection_energy,injection_fraction,injection_density,injection_energy\n" + "2023-11-06 22:07:55,532 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/grid_data/download/183282970?include=projection_density,projection_energy,injection_fraction,injection_density,injection_energy\n" ] } ], @@ -500,10 +500,10 @@ "id": "982f3337", "metadata": { "papermill": { - "duration": 0.006689, - "end_time": "2023-09-27T21:45:10.951828", + "duration": 0.004593, + "end_time": "2023-11-06T22:07:55.978163", "exception": false, - "start_time": "2023-09-27T21:45:10.945139", + "start_time": "2023-11-06T22:07:55.973570", "status": "completed" }, "tags": [] @@ -517,10 +517,10 @@ "id": "a468118f", "metadata": { "papermill": { - 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"duration": 0.008692, - "end_time": "2023-09-27T21:45:11.042407", + "duration": 0.004545, + "end_time": "2023-11-06T22:07:56.043360", "exception": false, - "start_time": "2023-09-27T21:45:11.033715", + "start_time": "2023-11-06T22:07:56.038815", "status": "completed" }, "tags": [] @@ -689,10 +689,10 @@ "id": "9c3216e5", "metadata": { "papermill": { - "duration": 0.00658, - "end_time": "2023-09-27T21:45:11.055202", + "duration": 0.004685, + "end_time": "2023-11-06T22:07:56.052808", "exception": false, - "start_time": "2023-09-27T21:45:11.048622", + "start_time": "2023-11-06T22:07:56.048123", "status": "completed" }, "tags": [] @@ -706,10 +706,10 @@ "id": "42cf8d88", "metadata": { "papermill": { - "duration": 0.006439, - "end_time": "2023-09-27T21:45:11.067818", + "duration": 0.00478, + "end_time": "2023-11-06T22:07:56.062427", "exception": false, - "start_time": "2023-09-27T21:45:11.061379", + "start_time": "2023-11-06T22:07:56.057647", "status": "completed" }, "tags": [] @@ -723,10 +723,10 @@ "id": "fb406063", "metadata": { "papermill": { - "duration": 0.005647, - "end_time": "2023-09-27T21:45:11.079476", + "duration": 0.004684, + "end_time": "2023-11-06T22:07:56.072033", "exception": false, - "start_time": "2023-09-27T21:45:11.073829", + "start_time": "2023-11-06T22:07:56.067349", "status": "completed" }, "tags": [] @@ -740,10 +740,10 @@ "id": "ece0a710", "metadata": { "papermill": { - "duration": 0.006703, - "end_time": "2023-09-27T21:45:11.100282", + "duration": 0.004655, + "end_time": "2023-11-06T22:07:56.081581", "exception": false, - "start_time": "2023-09-27T21:45:11.093579", + "start_time": "2023-11-06T22:07:56.076926", "status": "completed" }, "tags": [] @@ -759,16 +759,16 @@ "id": "0ad6597c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:45:11.115619Z", - "iopub.status.busy": "2023-09-27T21:45:11.114535Z", - "iopub.status.idle": "2023-09-27T21:45:11.971061Z", - "shell.execute_reply": "2023-09-27T21:45:11.969774Z" + "iopub.execute_input": "2023-11-06T22:07:56.092856Z", + "iopub.status.busy": "2023-11-06T22:07:56.092241Z", + "iopub.status.idle": "2023-11-06T22:07:57.027031Z", + "shell.execute_reply": "2023-11-06T22:07:57.026374Z" }, "papermill": { - "duration": 0.867177, - "end_time": "2023-09-27T21:45:11.973835", + "duration": 0.942461, + "end_time": "2023-11-06T22:07:57.028824", "exception": false, - "start_time": "2023-09-27T21:45:11.106658", + "start_time": "2023-11-06T22:07:56.086363", "status": "completed" }, "tags": [] @@ -778,7 +778,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-09-27 21:45:11,118 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://download.alleninstitute.org/informatics-archive/current-release/mouse_ccf/annotation/ccf_2015/annotation_25.nrrd\n" + "2023-11-06 22:07:56,094 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://download.alleninstitute.org/informatics-archive/current-release/mouse_ccf/annotation/ccf_2015/annotation_25.nrrd\n" ] } ], @@ -798,10 +798,10 @@ "metadata": { "collapsed": true, "papermill": { - "duration": 0.009776, - "end_time": "2023-09-27T21:45:11.990830", + "duration": 0.0045, + "end_time": "2023-11-06T22:07:57.038113", "exception": false, - 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"iopub.execute_input": "2023-09-27T20:32:03.374528Z", - "iopub.status.busy": "2023-09-27T20:32:03.373406Z", - "iopub.status.idle": "2023-09-27T20:32:03.564315Z", - "shell.execute_reply": "2023-09-27T20:32:03.563328Z" + "iopub.execute_input": "2023-11-06T22:07:44.945390Z", + "iopub.status.busy": "2023-11-06T22:07:44.944861Z", + "iopub.status.idle": "2023-11-06T22:07:45.030186Z", + "shell.execute_reply": "2023-11-06T22:07:45.029494Z" }, "papermill": { - "duration": 0.303559, - "end_time": "2023-09-27T20:32:03.567412", + "duration": 0.193795, + "end_time": "2023-11-06T22:07:45.031603", "exception": false, - "start_time": "2023-09-27T20:32:03.263853", + "start_time": "2023-11-06T22:07:44.837808", "status": "completed" }, "tags": [] @@ -3033,7 +3033,7 @@ " * virtual_channel_index (virtual_channel_index) int64 0 1 2 3 ... 381 382 383\n", " * time (time) float64 -0.1 -0.0996 -0.0992 ... 0.2492 0.2496\n", " vertical_position (virtual_channel_index) float64 0.0 10.0 ... 3.83e+03\n", - " horizontal_position (virtual_channel_index) float64 24.0 24.0 ... 24.0
    • " ], "text/plain": [ "\n", @@ -3165,10 +3165,10 @@ "id": "1a2f58ea", "metadata": { "papermill": { - "duration": 0.106151, - "end_time": "2023-09-27T20:32:03.787665", + "duration": 0.107435, + "end_time": "2023-11-06T22:07:45.247878", "exception": false, - "start_time": "2023-09-27T20:32:03.681514", + "start_time": "2023-11-06T22:07:45.140443", "status": "completed" }, "tags": [] @@ -3183,16 +3183,16 @@ "id": "1efaa3bb", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:32:04.008249Z", - "iopub.status.busy": "2023-09-27T20:32:04.007369Z", - "iopub.status.idle": "2023-09-27T20:32:09.247422Z", - "shell.execute_reply": "2023-09-27T20:32:09.246536Z" + "iopub.execute_input": "2023-11-06T22:07:45.467285Z", + "iopub.status.busy": "2023-11-06T22:07:45.466642Z", + "iopub.status.idle": "2023-11-06T22:07:48.357639Z", + "shell.execute_reply": "2023-11-06T22:07:48.356906Z" }, "papermill": { - "duration": 5.353945, - "end_time": "2023-09-27T20:32:09.250632", + "duration": 3.002449, + "end_time": "2023-11-06T22:07:48.359239", "exception": false, - "start_time": "2023-09-27T20:32:03.896687", + "start_time": "2023-11-06T22:07:45.356790", "status": "completed" }, "tags": [] @@ -3202,7 +3202,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_2454/3702729921.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_3615/3702729921.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter\n" ] }, @@ -3246,10 +3246,10 @@ "id": "a6c523bd", "metadata": { "papermill": { - "duration": 0.111993, - "end_time": "2023-09-27T20:32:09.469079", + "duration": 0.109268, + "end_time": "2023-11-06T22:07:48.578333", "exception": false, - "start_time": "2023-09-27T20:32:09.357086", + "start_time": "2023-11-06T22:07:48.469065", "status": "completed" }, "tags": [] @@ -3266,16 +3266,16 @@ "id": "ae3e5e4f", "metadata": { "execution": { - 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"duration": 0.01476, - "end_time": "2023-09-27T21:03:20.324820", + "duration": 0.009979, + "end_time": "2023-11-06T21:49:02.315345", "exception": false, - "start_time": "2023-09-27T21:03:20.310060", + "start_time": "2023-11-06T21:49:02.305366", "status": "completed" }, "pycharm": { @@ -43,10 +43,10 @@ "id": "96f2dd54", "metadata": { "papermill": { - "duration": 0.013021, - "end_time": "2023-09-27T21:03:20.352054", + "duration": 0.007487, + "end_time": "2023-11-06T21:49:02.330683", "exception": false, - "start_time": "2023-09-27T21:03:20.339033", + "start_time": "2023-11-06T21:49:02.323196", "status": "completed" }, "pycharm": { @@ -64,16 +64,16 @@ "id": "acff83e9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:03:20.378240Z", - "iopub.status.busy": "2023-09-27T21:03:20.377509Z", - "iopub.status.idle": "2023-09-27T21:03:29.019237Z", - "shell.execute_reply": "2023-09-27T21:03:29.018090Z" + "iopub.execute_input": "2023-11-06T21:49:02.347043Z", + "iopub.status.busy": "2023-11-06T21:49:02.346740Z", + "iopub.status.idle": "2023-11-06T21:49:07.236874Z", + "shell.execute_reply": "2023-11-06T21:49:07.236238Z" }, "papermill": { - 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"Downloading: 100%|██████████| 2.01G/2.01G [00:45<00:00, 43.9MB/s]\n", + "Downloading: 100%|██████████| 2.01G/2.01G [01:15<00:00, 26.6MB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.1.3 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.2 because version 2.6.0-alpha is already loaded.\n", @@ -2193,16 +2193,16 @@ "id": "963ed3f6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:13:05.041573Z", - "iopub.status.busy": "2023-09-27T21:13:05.040767Z", - "iopub.status.idle": "2023-09-27T21:13:58.756410Z", - "shell.execute_reply": "2023-09-27T21:13:58.755306Z" + "iopub.execute_input": "2023-11-06T21:57:09.543544Z", + "iopub.status.busy": "2023-11-06T21:57:09.542994Z", + "iopub.status.idle": "2023-11-06T21:57:24.206997Z", + "shell.execute_reply": "2023-11-06T21:57:24.206196Z" }, "papermill": { - 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"/tmp/ipykernel_4360/2366193608.py:1: DeprecationWarning: Please use `gaussian_filter1d` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_3729/2366193608.py:1: DeprecationWarning: Please use `gaussian_filter1d` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter1d\n" ] } @@ -389,10 +389,10 @@ "id": "80579018", "metadata": { "papermill": { - "duration": 0.024609, - "end_time": "2023-09-27T22:40:28.096958", + "duration": 0.007848, + "end_time": "2023-11-06T22:10:59.087621", "exception": false, - "start_time": "2023-09-27T22:40:28.072349", + "start_time": "2023-11-06T22:10:59.079773", "status": "completed" }, "tags": [] @@ -406,10 +406,10 @@ "id": "baa0a978", "metadata": { "papermill": { - "duration": 0.019491, - "end_time": "2023-09-27T22:40:28.133588", + "duration": 0.008006, + "end_time": "2023-11-06T22:10:59.103583", "exception": false, - 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"output_path": "/tmp/tmpn6om7rnu/scratch_nb.ipynb", + "output_path": "/tmp/tmpo3bkeekc/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpn6om7rnu", + "output_dir": "/tmp/tmpo3bkeekc", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:37:35.886475", + "start_time": "2023-11-06T22:07:57.674638", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb index f5f1f346d..2c903a1f1 100644 --- a/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb @@ -5,10 +5,10 @@ "id": "3ecf3437", "metadata": { "papermill": { - "duration": 0.009515, - "end_time": "2023-09-27T20:45:34.496935", + "duration": 0.004964, + "end_time": "2023-11-06T22:38:11.865249", "exception": false, - "start_time": "2023-09-27T20:45:34.487420", + "start_time": "2023-11-06T22:38:11.860285", "status": "completed" }, "tags": [] @@ -30,16 +30,16 @@ "id": "8edbae18", "metadata": { "execution": { - 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"Downloading: 100%|██████████| 1.08M/1.08M [00:00<00:00, 9.17MB/s]\n" + "Downloading: 100%|██████████| 1.08M/1.08M [00:00<00:00, 3.54MB/s]\n" ] }, { @@ -1773,17 +1773,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 320.101505, - "end_time": "2023-09-27T20:50:53.105801", + "duration": 324.977322, + "end_time": "2023-11-06T22:43:35.802162", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_quickstart.ipynb", - "output_path": "/tmp/tmpp0w8rkpu/scratch_nb.ipynb", + "output_path": "/tmp/tmppq31gao_/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpp0w8rkpu", + "output_dir": "/tmp/tmppq31gao_", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T20:45:33.004296", + "start_time": "2023-11-06T22:38:10.824840", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_receptive_fields.ipynb b/doc_template/examples_root/examples/nb/ecephys_receptive_fields.ipynb index d49ba329a..f292772d7 100644 --- a/doc_template/examples_root/examples/nb/ecephys_receptive_fields.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_receptive_fields.ipynb @@ -5,10 +5,10 @@ "id": "ba3d4d3e", "metadata": { "papermill": { - 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"duration": 0.00681, - "end_time": "2023-09-27T21:39:06.023690", + "duration": 0.004596, + "end_time": "2023-11-06T22:16:59.576222", "exception": false, - "start_time": "2023-09-27T21:39:06.016880", + "start_time": "2023-11-06T22:16:59.571626", "status": "completed" }, "tags": [] @@ -98,16 +98,16 @@ "id": "a359584c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:39:06.041712Z", - "iopub.status.busy": "2023-09-27T21:39:06.041050Z", - "iopub.status.idle": "2023-09-27T21:39:06.049011Z", - "shell.execute_reply": "2023-09-27T21:39:06.047781Z" + "iopub.execute_input": "2023-11-06T22:16:59.587410Z", + "iopub.status.busy": "2023-11-06T22:16:59.586743Z", + "iopub.status.idle": "2023-11-06T22:16:59.590374Z", + "shell.execute_reply": "2023-11-06T22:16:59.589661Z" }, "papermill": { - "duration": 0.022412, - "end_time": "2023-09-27T21:39:06.053585", + "duration": 0.010969, + "end_time": "2023-11-06T22:16:59.591901", "exception": false, - "start_time": "2023-09-27T21:39:06.031173", + "start_time": "2023-11-06T22:16:59.580932", "status": "completed" }, "tags": [ @@ -126,16 +126,16 @@ "id": "1885edef", "metadata": { "execution": { - 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"iopub.execute_input": "2023-09-27T21:39:06.154094Z", - "iopub.status.busy": "2023-09-27T21:39:06.153411Z", - "iopub.status.idle": "2023-09-27T21:42:26.993143Z", - "shell.execute_reply": "2023-09-27T21:42:26.991996Z" + "iopub.execute_input": "2023-11-06T22:16:59.645568Z", + "iopub.status.busy": "2023-11-06T22:16:59.645045Z", + "iopub.status.idle": "2023-11-06T22:21:07.338741Z", + "shell.execute_reply": "2023-11-06T22:21:07.338072Z" }, "papermill": { - "duration": 200.859048, - "end_time": "2023-09-27T21:42:26.996569", + "duration": 247.701127, + "end_time": "2023-11-06T22:21:07.340422", "exception": false, - "start_time": "2023-09-27T21:39:06.137521", + "start_time": "2023-11-06T22:16:59.639295", "status": "completed" }, "tags": [] @@ -190,7 +190,7 @@ "output_type": "stream", "text": [ "WARNING:root:downloading a 1775.991MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026123377\n", - "Downloading: 100%|██████████| 1.86G/1.86G [00:40<00:00, 46.5MB/s]\n", + "Downloading: 100%|██████████| 1.86G/1.86G [01:10<00:00, 26.6MB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.1.3 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.2 because version 2.6.0-alpha is already loaded.\n", @@ -209,10 +209,10 @@ "id": "33b168d0", "metadata": { "papermill": { - "duration": 0.041431, - "end_time": "2023-09-27T21:42:27.075906", + "duration": 0.034353, + "end_time": "2023-11-06T22:21:07.409731", "exception": false, - "start_time": "2023-09-27T21:42:27.034475", + "start_time": "2023-11-06T22:21:07.375378", "status": "completed" }, "tags": [] @@ -226,10 +226,10 @@ "id": "24177301", "metadata": { "papermill": { - "duration": 0.036353, - "end_time": "2023-09-27T21:42:27.150336", + "duration": 0.034295, + "end_time": "2023-11-06T22:21:07.478730", "exception": false, - "start_time": "2023-09-27T21:42:27.113983", + "start_time": "2023-11-06T22:21:07.444435", "status": "completed" }, "tags": [] @@ -248,16 +248,16 @@ "id": "c3e0dd24", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:27.232213Z", - "iopub.status.busy": "2023-09-27T21:42:27.231168Z", - "iopub.status.idle": "2023-09-27T21:42:36.899306Z", - "shell.execute_reply": "2023-09-27T21:42:36.898192Z" + "iopub.execute_input": "2023-11-06T22:21:07.549709Z", + "iopub.status.busy": "2023-11-06T22:21:07.549084Z", + "iopub.status.idle": "2023-11-06T22:21:12.608164Z", + "shell.execute_reply": "2023-11-06T22:21:12.607398Z" }, "papermill": { - "duration": 9.711236, - "end_time": "2023-09-27T21:42:36.901278", + "duration": 5.096199, + "end_time": "2023-11-06T22:21:12.609688", "exception": false, - "start_time": "2023-09-27T21:42:27.190042", + "start_time": "2023-11-06T22:21:07.513489", "status": "completed" }, "tags": [] @@ -285,10 +285,10 @@ "id": "05d610b4", "metadata": { "papermill": { - "duration": 0.03476, - "end_time": "2023-09-27T21:42:36.972033", + "duration": 0.03492, + "end_time": "2023-11-06T22:21:12.679911", "exception": false, - "start_time": "2023-09-27T21:42:36.937273", + "start_time": "2023-11-06T22:21:12.644991", "status": "completed" }, "tags": [] @@ -303,16 +303,16 @@ "id": "1388b453", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.041576Z", - "iopub.status.busy": "2023-09-27T21:42:37.040632Z", - "iopub.status.idle": "2023-09-27T21:42:37.072915Z", - "shell.execute_reply": "2023-09-27T21:42:37.072057Z" + "iopub.execute_input": "2023-11-06T22:21:12.749732Z", + "iopub.status.busy": "2023-11-06T22:21:12.749091Z", + "iopub.status.idle": "2023-11-06T22:21:12.768303Z", + "shell.execute_reply": "2023-11-06T22:21:12.767585Z" }, "papermill": { - "duration": 0.070106, - "end_time": "2023-09-27T21:42:37.075269", + "duration": 0.055505, + "end_time": "2023-11-06T22:21:12.769703", "exception": false, - "start_time": "2023-09-27T21:42:37.005163", + "start_time": "2023-11-06T22:21:12.714198", "status": "completed" }, "tags": [] @@ -324,8 +324,8 @@ "['start_time',\n", " 'stop_time',\n", " 'x_position',\n", - " 'orientation',\n", " 'y_position',\n", + " 'orientation',\n", " 'duration',\n", " 'stimulus_condition_id']" ] @@ -345,10 +345,10 @@ "id": "5002fe82", "metadata": { "papermill": { - "duration": 0.030932, - "end_time": "2023-09-27T21:42:37.139925", + "duration": 0.033972, + "end_time": "2023-11-06T22:21:12.838399", "exception": false, - "start_time": "2023-09-27T21:42:37.108993", + "start_time": "2023-11-06T22:21:12.804427", "status": "completed" }, "tags": [] @@ -363,16 +363,16 @@ "id": "e3fb5ac4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.207012Z", - "iopub.status.busy": "2023-09-27T21:42:37.206363Z", - "iopub.status.idle": "2023-09-27T21:42:37.215726Z", - "shell.execute_reply": "2023-09-27T21:42:37.214662Z" + "iopub.execute_input": "2023-11-06T22:21:12.909706Z", + "iopub.status.busy": "2023-11-06T22:21:12.909112Z", + "iopub.status.idle": "2023-11-06T22:21:12.914788Z", + "shell.execute_reply": "2023-11-06T22:21:12.914069Z" }, "papermill": { - "duration": 0.044709, - "end_time": "2023-09-27T21:42:37.217786", + "duration": 0.042882, + "end_time": "2023-11-06T22:21:12.916172", "exception": false, - "start_time": "2023-09-27T21:42:37.173077", + "start_time": "2023-11-06T22:21:12.873290", "status": "completed" }, "tags": [] @@ -399,10 +399,10 @@ "id": "123ce1d3", "metadata": { "papermill": { - "duration": 0.035614, - "end_time": "2023-09-27T21:42:37.284555", + "duration": 0.034151, + "end_time": "2023-11-06T22:21:12.985139", "exception": false, - "start_time": "2023-09-27T21:42:37.248941", + "start_time": "2023-11-06T22:21:12.950988", "status": "completed" }, "tags": [] @@ -417,16 +417,16 @@ "id": "8087b500", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.361559Z", - "iopub.status.busy": "2023-09-27T21:42:37.360888Z", - "iopub.status.idle": "2023-09-27T21:42:37.366843Z", - "shell.execute_reply": "2023-09-27T21:42:37.365864Z" + "iopub.execute_input": "2023-11-06T22:21:13.055888Z", + "iopub.status.busy": "2023-11-06T22:21:13.055298Z", + "iopub.status.idle": "2023-11-06T22:21:13.060155Z", + "shell.execute_reply": "2023-11-06T22:21:13.059417Z" }, "papermill": { - "duration": 0.042013, - "end_time": "2023-09-27T21:42:37.368951", + "duration": 0.042233, + "end_time": "2023-11-06T22:21:13.061603", "exception": false, - "start_time": "2023-09-27T21:42:37.326938", + "start_time": "2023-11-06T22:21:13.019370", "status": "completed" }, "tags": [] @@ -452,10 +452,10 @@ "id": "c6057900", "metadata": { "papermill": { - "duration": 0.031364, - "end_time": "2023-09-27T21:42:37.432415", + "duration": 0.034629, + "end_time": "2023-11-06T22:21:13.131066", "exception": false, - "start_time": "2023-09-27T21:42:37.401051", + "start_time": "2023-11-06T22:21:13.096437", "status": "completed" }, "tags": [] @@ -470,16 +470,16 @@ "id": "7df9261f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.498514Z", - "iopub.status.busy": "2023-09-27T21:42:37.497620Z", - "iopub.status.idle": "2023-09-27T21:42:37.504741Z", - "shell.execute_reply": "2023-09-27T21:42:37.503762Z" + "iopub.execute_input": "2023-11-06T22:21:13.202684Z", + "iopub.status.busy": "2023-11-06T22:21:13.202363Z", + "iopub.status.idle": "2023-11-06T22:21:13.208098Z", + "shell.execute_reply": "2023-11-06T22:21:13.207473Z" }, "papermill": { - "duration": 0.04266, - "end_time": "2023-09-27T21:42:37.506659", + "duration": 0.043397, + "end_time": "2023-11-06T22:21:13.209493", "exception": false, - "start_time": "2023-09-27T21:42:37.463999", + "start_time": "2023-11-06T22:21:13.166096", "status": "completed" }, "tags": [] @@ -505,10 +505,10 @@ "id": "2609bfb1", "metadata": { "papermill": { - "duration": 0.031931, - "end_time": "2023-09-27T21:42:37.570333", + "duration": 0.034776, + "end_time": "2023-11-06T22:21:13.280007", "exception": false, - "start_time": "2023-09-27T21:42:37.538402", + "start_time": "2023-11-06T22:21:13.245231", "status": "completed" }, "tags": [] @@ -523,16 +523,16 @@ "id": "338d6b88", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.644860Z", - "iopub.status.busy": "2023-09-27T21:42:37.643973Z", - "iopub.status.idle": "2023-09-27T21:42:37.652333Z", - "shell.execute_reply": "2023-09-27T21:42:37.651416Z" + "iopub.execute_input": "2023-11-06T22:21:13.352095Z", + "iopub.status.busy": "2023-11-06T22:21:13.351550Z", + "iopub.status.idle": "2023-11-06T22:21:13.357275Z", + "shell.execute_reply": "2023-11-06T22:21:13.356620Z" }, "papermill": { - "duration": 0.04495, - "end_time": "2023-09-27T21:42:37.655205", + "duration": 0.043412, + "end_time": "2023-11-06T22:21:13.358749", "exception": false, - "start_time": "2023-09-27T21:42:37.610255", + "start_time": "2023-11-06T22:21:13.315337", "status": "completed" }, "tags": [] @@ -561,10 +561,10 @@ "id": "60c0af34", "metadata": { "papermill": { - "duration": 0.03415, - "end_time": "2023-09-27T21:42:37.724282", + "duration": 0.035713, + "end_time": "2023-11-06T22:21:13.429580", "exception": false, - "start_time": "2023-09-27T21:42:37.690132", + "start_time": "2023-11-06T22:21:13.393867", "status": "completed" }, "tags": [] @@ -581,16 +581,16 @@ "id": "972d100c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:37.792305Z", - "iopub.status.busy": "2023-09-27T21:42:37.791362Z", - "iopub.status.idle": "2023-09-27T21:42:37.798176Z", - "shell.execute_reply": "2023-09-27T21:42:37.797390Z" + "iopub.execute_input": "2023-11-06T22:21:13.503480Z", + "iopub.status.busy": "2023-11-06T22:21:13.503090Z", + "iopub.status.idle": "2023-11-06T22:21:13.508846Z", + "shell.execute_reply": "2023-11-06T22:21:13.508170Z" }, "papermill": { - "duration": 0.042763, - "end_time": "2023-09-27T21:42:37.800020", + "duration": 0.044271, + "end_time": "2023-11-06T22:21:13.510316", "exception": false, - "start_time": "2023-09-27T21:42:37.757257", + "start_time": "2023-11-06T22:21:13.466045", "status": "completed" }, "tags": [] @@ -599,10 +599,10 @@ { "data": { "text/plain": [ - "Index(['stimulus_block', 'start_time', 'stop_time', 'spatial_frequency',\n", - " 'phase', 'size', 'x_position', 'orientation', 'y_position',\n", - " 'temporal_frequency', 'contrast', 'color', 'stimulus_name', 'frame',\n", - " 'duration', 'stimulus_condition_id'],\n", + "Index(['stimulus_block', 'start_time', 'stop_time', 'color', 'x_position',\n", + " 'stimulus_name', 'y_position', 'orientation', 'spatial_frequency',\n", + " 'size', 'phase', 'temporal_frequency', 'contrast', 'frame', 'duration',\n", + " 'stimulus_condition_id'],\n", " dtype='object')" ] }, @@ -620,10 +620,10 @@ "id": "28684085", "metadata": { "papermill": { - "duration": 0.036656, - "end_time": "2023-09-27T21:42:37.873620", + "duration": 0.035044, + "end_time": "2023-11-06T22:21:13.581092", "exception": false, - "start_time": "2023-09-27T21:42:37.836964", + "start_time": "2023-11-06T22:21:13.546048", "status": "completed" }, "tags": [] @@ -637,10 +637,10 @@ "id": "a3c97c66", "metadata": { "papermill": { - "duration": 0.03436, - "end_time": "2023-09-27T21:42:37.946160", + "duration": 0.034739, + "end_time": "2023-11-06T22:21:13.650352", "exception": false, - "start_time": "2023-09-27T21:42:37.911800", + "start_time": "2023-11-06T22:21:13.615613", "status": "completed" }, "tags": [] @@ -655,16 +655,16 @@ "id": "90dd6724", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:38.020553Z", - "iopub.status.busy": "2023-09-27T21:42:38.019743Z", - "iopub.status.idle": "2023-09-27T21:42:38.102402Z", - "shell.execute_reply": "2023-09-27T21:42:38.101090Z" + "iopub.execute_input": "2023-11-06T22:21:13.722556Z", + "iopub.status.busy": "2023-11-06T22:21:13.722065Z", + "iopub.status.idle": "2023-11-06T22:21:13.778350Z", + "shell.execute_reply": "2023-11-06T22:21:13.777742Z" }, "papermill": { - "duration": 0.124072, - "end_time": "2023-09-27T21:42:38.105589", + "duration": 0.094094, + "end_time": "2023-11-06T22:21:13.780028", "exception": false, - "start_time": "2023-09-27T21:42:37.981517", + "start_time": "2023-11-06T22:21:13.685934", "status": "completed" }, "tags": [] @@ -681,10 +681,10 @@ "id": "9bafe79f", "metadata": { "papermill": { - "duration": 0.035882, - "end_time": "2023-09-27T21:42:38.174478", + "duration": 0.03467, + "end_time": "2023-11-06T22:21:13.849947", "exception": false, - "start_time": "2023-09-27T21:42:38.138596", + "start_time": "2023-11-06T22:21:13.815277", "status": "completed" }, "tags": [] @@ -699,16 +699,16 @@ "id": "1273646e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:38.249109Z", - "iopub.status.busy": "2023-09-27T21:42:38.248165Z", - "iopub.status.idle": "2023-09-27T21:42:38.369056Z", - "shell.execute_reply": "2023-09-27T21:42:38.367964Z" + "iopub.execute_input": "2023-11-06T22:21:13.922181Z", + "iopub.status.busy": "2023-11-06T22:21:13.921642Z", + "iopub.status.idle": "2023-11-06T22:21:13.989824Z", + "shell.execute_reply": "2023-11-06T22:21:13.989089Z" }, "papermill": { - "duration": 0.161558, - "end_time": "2023-09-27T21:42:38.371481", + "duration": 0.106341, + "end_time": "2023-11-06T22:21:13.991365", "exception": false, - "start_time": "2023-09-27T21:42:38.209923", + "start_time": "2023-11-06T22:21:13.885024", "status": "completed" }, "tags": [] @@ -738,15 +738,15 @@ " stimulus_block\n", " start_time\n", " stop_time\n", - " spatial_frequency\n", - " phase\n", - " size\n", " x_position\n", - " orientation\n", + " stimulus_name\n", " y_position\n", + " orientation\n", + " spatial_frequency\n", + " size\n", + " phase\n", " temporal_frequency\n", " contrast\n", - " stimulus_name\n", " duration\n", " stimulus_condition_id\n", " \n", @@ -774,15 +774,15 @@ " 0.0\n", " 84.804349\n", " 85.037870\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " -10.0\n", - " 0.0\n", + " gabors\n", " -40.0\n", + " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.233521\n", " 1\n", " \n", @@ -791,15 +791,15 @@ " 0.0\n", " 85.037870\n", " 85.288070\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 30.0\n", - " 0.0\n", + " gabors\n", " 40.0\n", + " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250201\n", " 2\n", " \n", @@ -808,15 +808,15 @@ " 0.0\n", " 85.288070\n", " 85.538271\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 0.0\n", + " gabors\n", " 0.0\n", " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250201\n", " 3\n", " \n", @@ -825,15 +825,15 @@ " 0.0\n", " 85.538271\n", " 85.788472\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " -20.0\n", - " 45.0\n", + " gabors\n", " 20.0\n", + " 45.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250201\n", " 4\n", " \n", @@ -842,15 +842,15 @@ " 0.0\n", " 85.788472\n", " 86.038686\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " -40.0\n", - " 0.0\n", + " gabors\n", " 40.0\n", + " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250214\n", " 5\n", " \n", @@ -876,15 +876,15 @@ " 0.0\n", " 995.598539\n", " 995.848745\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 30.0\n", - " 90.0\n", + " gabors\n", " -10.0\n", + " 90.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250206\n", " 175\n", " \n", @@ -893,15 +893,15 @@ " 0.0\n", " 995.848745\n", " 996.098950\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 30.0\n", - " 45.0\n", + " gabors\n", " 10.0\n", + " 45.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250206\n", " 228\n", " \n", @@ -910,15 +910,15 @@ " 0.0\n", " 996.098950\n", " 996.349156\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 30.0\n", - " 0.0\n", + " gabors\n", " -20.0\n", + " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250206\n", " 156\n", " \n", @@ -927,15 +927,15 @@ " 0.0\n", " 996.349156\n", " 996.599362\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " 10.0\n", - " 90.0\n", + " gabors\n", " 20.0\n", + " 90.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250206\n", " 231\n", " \n", @@ -944,15 +944,15 @@ " 0.0\n", " 996.599362\n", " 996.849568\n", - " 0.08\n", - " [3644.93333333, 3644.93333333]\n", - " [20.0, 20.0]\n", " -40.0\n", - " 0.0\n", + " gabors\n", " -30.0\n", + " 0.0\n", + " 0.08\n", + " [20.0, 20.0]\n", + " [3644.93333333, 3644.93333333]\n", " 4.0\n", " 0.8\n", - " gabors\n", " 0.250207\n", " 72\n", " \n", @@ -962,75 +962,75 @@ "" ], "text/plain": [ - " stimulus_block start_time stop_time \\\n", - "stimulus_presentation_id \n", - "1 0.0 84.804349 85.037870 \n", - "2 0.0 85.037870 85.288070 \n", - "3 0.0 85.288070 85.538271 \n", - "4 0.0 85.538271 85.788472 \n", - "5 0.0 85.788472 86.038686 \n", - "... ... ... ... \n", - "3641 0.0 995.598539 995.848745 \n", - "3642 0.0 995.848745 996.098950 \n", - "3643 0.0 996.098950 996.349156 \n", - "3644 0.0 996.349156 996.599362 \n", - "3645 0.0 996.599362 996.849568 \n", - "\n", - " spatial_frequency phase \\\n", + " stimulus_block start_time stop_time x_position \\\n", "stimulus_presentation_id \n", - "1 0.08 [3644.93333333, 3644.93333333] \n", - "2 0.08 [3644.93333333, 3644.93333333] \n", - "3 0.08 [3644.93333333, 3644.93333333] \n", - "4 0.08 [3644.93333333, 3644.93333333] \n", - "5 0.08 [3644.93333333, 3644.93333333] \n", - "... ... ... \n", - "3641 0.08 [3644.93333333, 3644.93333333] \n", - "3642 0.08 [3644.93333333, 3644.93333333] \n", - "3643 0.08 [3644.93333333, 3644.93333333] \n", - "3644 0.08 [3644.93333333, 3644.93333333] \n", - "3645 0.08 [3644.93333333, 3644.93333333] \n", + "1 0.0 84.804349 85.037870 -10.0 \n", + "2 0.0 85.037870 85.288070 30.0 \n", + "3 0.0 85.288070 85.538271 0.0 \n", + "4 0.0 85.538271 85.788472 -20.0 \n", + "5 0.0 85.788472 86.038686 -40.0 \n", + "... ... ... ... ... \n", + "3641 0.0 995.598539 995.848745 30.0 \n", + "3642 0.0 995.848745 996.098950 30.0 \n", + "3643 0.0 996.098950 996.349156 30.0 \n", + "3644 0.0 996.349156 996.599362 10.0 \n", + "3645 0.0 996.599362 996.849568 -40.0 \n", + "\n", + " stimulus_name y_position orientation \\\n", + "stimulus_presentation_id \n", + "1 gabors -40.0 0.0 \n", + "2 gabors 40.0 0.0 \n", + "3 gabors 0.0 0.0 \n", + "4 gabors 20.0 45.0 \n", + "5 gabors 40.0 0.0 \n", + "... ... ... ... \n", + "3641 gabors -10.0 90.0 \n", + "3642 gabors 10.0 45.0 \n", + "3643 gabors -20.0 0.0 \n", + "3644 gabors 20.0 90.0 \n", + "3645 gabors -30.0 0.0 \n", "\n", - " size x_position orientation y_position \\\n", - "stimulus_presentation_id \n", - "1 [20.0, 20.0] -10.0 0.0 -40.0 \n", - "2 [20.0, 20.0] 30.0 0.0 40.0 \n", - "3 [20.0, 20.0] 0.0 0.0 0.0 \n", - "4 [20.0, 20.0] -20.0 45.0 20.0 \n", - "5 [20.0, 20.0] -40.0 0.0 40.0 \n", - "... ... ... ... ... \n", - "3641 [20.0, 20.0] 30.0 90.0 -10.0 \n", - "3642 [20.0, 20.0] 30.0 45.0 10.0 \n", - "3643 [20.0, 20.0] 30.0 0.0 -20.0 \n", - "3644 [20.0, 20.0] 10.0 90.0 20.0 \n", - "3645 [20.0, 20.0] -40.0 0.0 -30.0 \n", + " spatial_frequency size \\\n", + "stimulus_presentation_id \n", + "1 0.08 [20.0, 20.0] \n", + "2 0.08 [20.0, 20.0] \n", + "3 0.08 [20.0, 20.0] \n", + "4 0.08 [20.0, 20.0] \n", + "5 0.08 [20.0, 20.0] \n", + "... ... ... \n", + "3641 0.08 [20.0, 20.0] \n", + "3642 0.08 [20.0, 20.0] \n", + "3643 0.08 [20.0, 20.0] \n", + "3644 0.08 [20.0, 20.0] \n", + "3645 0.08 [20.0, 20.0] \n", "\n", - " temporal_frequency contrast stimulus_name duration \\\n", - "stimulus_presentation_id \n", - "1 4.0 0.8 gabors 0.233521 \n", - "2 4.0 0.8 gabors 0.250201 \n", - "3 4.0 0.8 gabors 0.250201 \n", - "4 4.0 0.8 gabors 0.250201 \n", - "5 4.0 0.8 gabors 0.250214 \n", - "... ... ... ... ... \n", - "3641 4.0 0.8 gabors 0.250206 \n", - "3642 4.0 0.8 gabors 0.250206 \n", - "3643 4.0 0.8 gabors 0.250206 \n", - "3644 4.0 0.8 gabors 0.250206 \n", - "3645 4.0 0.8 gabors 0.250207 \n", + " phase temporal_frequency \\\n", + "stimulus_presentation_id \n", + "1 [3644.93333333, 3644.93333333] 4.0 \n", + "2 [3644.93333333, 3644.93333333] 4.0 \n", + "3 [3644.93333333, 3644.93333333] 4.0 \n", + "4 [3644.93333333, 3644.93333333] 4.0 \n", + "5 [3644.93333333, 3644.93333333] 4.0 \n", + "... ... ... \n", + "3641 [3644.93333333, 3644.93333333] 4.0 \n", + "3642 [3644.93333333, 3644.93333333] 4.0 \n", + "3643 [3644.93333333, 3644.93333333] 4.0 \n", + "3644 [3644.93333333, 3644.93333333] 4.0 \n", + "3645 [3644.93333333, 3644.93333333] 4.0 \n", "\n", - " stimulus_condition_id \n", - "stimulus_presentation_id \n", - "1 1 \n", - "2 2 \n", - "3 3 \n", - "4 4 \n", - "5 5 \n", - "... ... \n", - "3641 175 \n", - "3642 228 \n", - "3643 156 \n", - "3644 231 \n", - "3645 72 \n", + " contrast duration stimulus_condition_id \n", + "stimulus_presentation_id \n", + "1 0.8 0.233521 1 \n", + "2 0.8 0.250201 2 \n", + "3 0.8 0.250201 3 \n", + "4 0.8 0.250201 4 \n", + "5 0.8 0.250214 5 \n", + "... ... ... ... \n", + "3641 0.8 0.250206 175 \n", + "3642 0.8 0.250206 228 \n", + "3643 0.8 0.250206 156 \n", + "3644 0.8 0.250206 231 \n", + "3645 0.8 0.250207 72 \n", "\n", "[3645 rows x 14 columns]" ] @@ -1049,10 +1049,10 @@ "id": "c207b49d", "metadata": { "papermill": { - "duration": 0.039129, - "end_time": "2023-09-27T21:42:38.448848", + "duration": 0.034909, + "end_time": "2023-11-06T22:21:14.061993", "exception": false, - "start_time": "2023-09-27T21:42:38.409719", + "start_time": "2023-11-06T22:21:14.027084", "status": "completed" }, "tags": [] @@ -1067,16 +1067,16 @@ "id": "2ea847b5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:38.529322Z", - "iopub.status.busy": "2023-09-27T21:42:38.528421Z", - "iopub.status.idle": "2023-09-27T21:42:51.277138Z", - "shell.execute_reply": "2023-09-27T21:42:51.275695Z" + "iopub.execute_input": "2023-11-06T22:21:14.134064Z", + "iopub.status.busy": "2023-11-06T22:21:14.133426Z", + "iopub.status.idle": "2023-11-06T22:21:20.993115Z", + "shell.execute_reply": "2023-11-06T22:21:20.992429Z" }, "papermill": { - "duration": 12.791526, - "end_time": "2023-09-27T21:42:51.279990", + "duration": 6.897741, + "end_time": "2023-11-06T22:21:20.994765", "exception": false, - "start_time": "2023-09-27T21:42:38.488464", + "start_time": "2023-11-06T22:21:14.097024", "status": "completed" }, "tags": [] @@ -1091,10 +1091,10 @@ "id": "c38a8679", "metadata": { "papermill": { - "duration": 0.03739, - "end_time": "2023-09-27T21:42:51.354846", + "duration": 0.035345, + "end_time": "2023-11-06T22:21:21.065274", "exception": false, - "start_time": "2023-09-27T21:42:51.317456", + "start_time": "2023-11-06T22:21:21.029929", "status": "completed" }, "tags": [] @@ -1109,16 +1109,16 @@ "id": "e1df2d00", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:42:51.433605Z", - "iopub.status.busy": "2023-09-27T21:42:51.432685Z", - "iopub.status.idle": "2023-09-27T21:43:01.601767Z", - "shell.execute_reply": "2023-09-27T21:43:01.600705Z" + "iopub.execute_input": "2023-11-06T22:21:21.137015Z", + "iopub.status.busy": "2023-11-06T22:21:21.136325Z", + "iopub.status.idle": "2023-11-06T22:21:25.998251Z", + "shell.execute_reply": "2023-11-06T22:21:25.997570Z" }, "papermill": { - "duration": 10.211341, - "end_time": "2023-09-27T21:43:01.604330", + "duration": 4.899501, + "end_time": "2023-11-06T22:21:26.000040", "exception": false, - "start_time": "2023-09-27T21:42:51.392989", + "start_time": "2023-11-06T22:21:21.100539", "status": "completed" }, "tags": [] @@ -1133,10 +1133,10 @@ "id": "8bcd6c01", "metadata": { "papermill": { - "duration": 0.04078, - "end_time": "2023-09-27T21:43:01.682777", + "duration": 0.03551, + "end_time": "2023-11-06T22:21:26.071532", "exception": false, - "start_time": "2023-09-27T21:43:01.641997", + "start_time": "2023-11-06T22:21:26.036022", "status": "completed" }, "tags": [] @@ -1153,16 +1153,16 @@ "id": "6d431224", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:01.765049Z", - "iopub.status.busy": "2023-09-27T21:43:01.764132Z", - "iopub.status.idle": "2023-09-27T21:43:01.858500Z", - "shell.execute_reply": "2023-09-27T21:43:01.857608Z" + "iopub.execute_input": "2023-11-06T22:21:26.145526Z", + "iopub.status.busy": "2023-11-06T22:21:26.144943Z", + "iopub.status.idle": "2023-11-06T22:21:26.199459Z", + "shell.execute_reply": "2023-11-06T22:21:26.198642Z" }, "papermill": { - "duration": 0.138672, - "end_time": "2023-09-27T21:43:01.861000", + "duration": 0.093814, + "end_time": "2023-11-06T22:21:26.201470", "exception": false, - "start_time": "2023-09-27T21:43:01.722328", + "start_time": "2023-11-06T22:21:26.107656", "status": "completed" }, "tags": [] @@ -1190,10 +1190,10 @@ "id": "400b633f", "metadata": { "papermill": { - "duration": 0.043203, - "end_time": "2023-09-27T21:43:01.941660", + "duration": 0.044718, + "end_time": "2023-11-06T22:21:26.307906", "exception": false, - "start_time": "2023-09-27T21:43:01.898457", + "start_time": "2023-11-06T22:21:26.263188", "status": "completed" }, "tags": [] @@ -1210,16 +1210,16 @@ "id": "f25b7a87", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:02.022557Z", - "iopub.status.busy": "2023-09-27T21:43:02.021452Z", - "iopub.status.idle": "2023-09-27T21:43:04.667797Z", - "shell.execute_reply": "2023-09-27T21:43:04.666769Z" + "iopub.execute_input": "2023-11-06T22:21:26.385315Z", + "iopub.status.busy": "2023-11-06T22:21:26.384694Z", + "iopub.status.idle": "2023-11-06T22:21:27.795030Z", + "shell.execute_reply": "2023-11-06T22:21:27.794273Z" }, "papermill": { - "duration": 2.688627, - "end_time": "2023-09-27T21:43:04.670094", + "duration": 1.453144, + "end_time": "2023-11-06T22:21:27.796416", "exception": false, - "start_time": "2023-09-27T21:43:01.981467", + "start_time": "2023-11-06T22:21:26.343272", "status": "completed" }, "tags": [] @@ -1269,17 +1269,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 248.048707, - "end_time": "2023-09-27T21:43:05.740831", + "duration": 274.565909, + "end_time": "2023-11-06T22:21:28.652934", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_receptive_fields.ipynb", - "output_path": "/tmp/tmproo1sf4y/scratch_nb.ipynb", + "output_path": "/tmp/tmpb1j0sz3o/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmproo1sf4y", + "output_dir": "/tmp/tmpb1j0sz3o", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T21:38:57.692124", + "start_time": "2023-11-06T22:16:54.087025", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/ecephys_session.ipynb b/doc_template/examples_root/examples/nb/ecephys_session.ipynb index fd946feba..150fbf20d 100644 --- a/doc_template/examples_root/examples/nb/ecephys_session.ipynb +++ b/doc_template/examples_root/examples/nb/ecephys_session.ipynb @@ -5,10 +5,10 @@ "id": "b3932a0a", "metadata": { "papermill": { - "duration": 0.018999, - "end_time": "2023-09-27T21:45:13.992248", + "duration": 0.012024, + "end_time": "2023-11-06T20:49:58.431998", "exception": false, - "start_time": "2023-09-27T21:45:13.973249", + "start_time": "2023-11-06T20:49:58.419974", "status": "completed" }, "tags": [] @@ -59,16 +59,16 @@ "id": "d2645d16", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:45:14.024846Z", - "iopub.status.busy": "2023-09-27T21:45:14.024276Z", - "iopub.status.idle": "2023-09-27T21:45:20.671001Z", - "shell.execute_reply": "2023-09-27T21:45:20.669950Z" + "iopub.execute_input": "2023-11-06T20:49:58.455205Z", + "iopub.status.busy": "2023-11-06T20:49:58.454588Z", + "iopub.status.idle": "2023-11-06T20:50:03.542702Z", + "shell.execute_reply": "2023-11-06T20:50:03.541989Z" }, "papermill": { - "duration": 6.666862, - "end_time": "2023-09-27T21:45:20.674351", + "duration": 5.101678, + "end_time": "2023-11-06T20:50:03.544494", "exception": false, - "start_time": "2023-09-27T21:45:14.007489", + "start_time": "2023-11-06T20:49:58.442816", "status": "completed" }, "tags": [] @@ -78,7 +78,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3723/448338585.py:8: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_2257/448338585.py:8: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" @@ -116,10 +116,10 @@ "id": "3352ffed", "metadata": { "papermill": { - "duration": 0.015716, - "end_time": "2023-09-27T21:45:20.705967", + "duration": 0.010485, + "end_time": "2023-11-06T20:50:03.565571", "exception": false, - "start_time": "2023-09-27T21:45:20.690251", + "start_time": "2023-11-06T20:50:03.555086", "status": "completed" }, "tags": [] @@ -138,16 +138,16 @@ "id": "22ea0388", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:45:20.741097Z", - "iopub.status.busy": "2023-09-27T21:45:20.740482Z", - "iopub.status.idle": "2023-09-27T21:45:20.745967Z", - "shell.execute_reply": "2023-09-27T21:45:20.744769Z" + "iopub.execute_input": "2023-11-06T20:50:03.588091Z", + "iopub.status.busy": "2023-11-06T20:50:03.587420Z", + "iopub.status.idle": "2023-11-06T20:50:03.591192Z", + "shell.execute_reply": "2023-11-06T20:50:03.590492Z" }, "papermill": { - "duration": 0.025893, - "end_time": "2023-09-27T21:45:20.748001", + "duration": 0.016734, + "end_time": "2023-11-06T20:50:03.592647", "exception": false, - "start_time": "2023-09-27T21:45:20.722108", + "start_time": "2023-11-06T20:50:03.575913", "status": "completed" }, "tags": [ @@ -167,16 +167,16 @@ "id": "166aa226", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:45:20.820488Z", - "iopub.status.busy": "2023-09-27T21:45:20.819848Z", - "iopub.status.idle": "2023-09-27T21:45:20.825431Z", - "shell.execute_reply": "2023-09-27T21:45:20.824474Z" + "iopub.execute_input": "2023-11-06T20:50:03.642184Z", + "iopub.status.busy": "2023-11-06T20:50:03.641674Z", + "iopub.status.idle": "2023-11-06T20:50:03.646098Z", + "shell.execute_reply": "2023-11-06T20:50:03.645492Z" }, "papermill": { - "duration": 0.024324, - "end_time": "2023-09-27T21:45:20.827387", + "duration": 0.01763, + "end_time": "2023-11-06T20:50:03.647486", "exception": false, - "start_time": "2023-09-27T21:45:20.803063", + "start_time": "2023-11-06T20:50:03.629856", "status": "completed" }, "tags": [] @@ -194,10 +194,10 @@ "id": "541b994a", "metadata": { "papermill": { - "duration": 0.01451, - "end_time": "2023-09-27T21:45:20.859904", + "duration": 0.010656, + "end_time": "2023-11-06T20:50:03.668949", "exception": false, - "start_time": "2023-09-27T21:45:20.845394", + "start_time": "2023-11-06T20:50:03.658293", "status": "completed" }, "tags": [] @@ -214,16 +214,16 @@ "id": "2161ee24", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:45:20.892797Z", - "iopub.status.busy": "2023-09-27T21:45:20.892035Z", - "iopub.status.idle": "2023-09-27T21:47:55.048368Z", - "shell.execute_reply": "2023-09-27T21:47:55.047399Z" + "iopub.execute_input": "2023-11-06T20:50:03.691679Z", + "iopub.status.busy": "2023-11-06T20:50:03.690949Z", + "iopub.status.idle": "2023-11-06T20:53:10.258972Z", + "shell.execute_reply": "2023-11-06T20:53:10.258169Z" }, "papermill": { - "duration": 154.18987, - "end_time": "2023-09-27T21:47:55.065357", + "duration": 186.591625, + "end_time": "2023-11-06T20:53:10.270983", "exception": false, - "start_time": "2023-09-27T21:45:20.875487", + "start_time": "2023-11-06T20:50:03.679358", "status": "completed" }, "scrolled": false, @@ -394,10 +394,10 @@ "id": "bde7aa97", "metadata": { "papermill": { - "duration": 0.014871, - "end_time": "2023-09-27T21:47:55.096138", + "duration": 0.010481, + "end_time": "2023-11-06T20:53:10.291990", "exception": false, - "start_time": "2023-09-27T21:47:55.081267", + "start_time": "2023-11-06T20:53:10.281509", "status": "completed" }, "tags": [] @@ -414,16 +414,16 @@ "id": "f3bb31e8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:47:55.132479Z", - "iopub.status.busy": "2023-09-27T21:47:55.131485Z", - "iopub.status.idle": "2023-09-27T21:47:56.388251Z", - "shell.execute_reply": "2023-09-27T21:47:56.387238Z" + "iopub.execute_input": "2023-11-06T20:53:10.314251Z", + "iopub.status.busy": "2023-11-06T20:53:10.313734Z", + "iopub.status.idle": "2023-11-06T20:53:11.020585Z", + "shell.execute_reply": "2023-11-06T20:53:11.019820Z" }, "papermill": { - "duration": 1.275743, - "end_time": "2023-09-27T21:47:56.390372", + "duration": 0.719654, + "end_time": "2023-11-06T20:53:11.022010", "exception": false, - "start_time": "2023-09-27T21:47:55.114629", + "start_time": "2023-11-06T20:53:10.302356", "status": "completed" }, "tags": [] @@ -578,10 +578,10 @@ "id": "c186c809", "metadata": { "papermill": { - "duration": 0.016341, - "end_time": "2023-09-27T21:47:56.425585", + "duration": 0.010546, + "end_time": "2023-11-06T20:53:11.043474", "exception": false, - "start_time": "2023-09-27T21:47:56.409244", + "start_time": "2023-11-06T20:53:11.032928", "status": "completed" }, "tags": [] @@ -598,16 +598,16 @@ "id": "ff3d8ea8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:47:56.468300Z", - "iopub.status.busy": "2023-09-27T21:47:56.467299Z", - "iopub.status.idle": "2023-09-27T21:47:57.444262Z", - "shell.execute_reply": "2023-09-27T21:47:57.443287Z" + "iopub.execute_input": "2023-11-06T20:53:11.066290Z", + "iopub.status.busy": "2023-11-06T20:53:11.065680Z", + "iopub.status.idle": "2023-11-06T20:53:11.651585Z", + "shell.execute_reply": "2023-11-06T20:53:11.650860Z" }, "papermill": { - "duration": 1.000917, - "end_time": "2023-09-27T21:47:57.446159", + "duration": 0.59891, + "end_time": "2023-11-06T20:53:11.652990", "exception": false, - "start_time": "2023-09-27T21:47:56.445242", + "start_time": "2023-11-06T20:53:11.054080", "status": "completed" }, "tags": [] @@ -820,10 +820,10 @@ "id": "d414f779", "metadata": { "papermill": { - "duration": 0.014754, - "end_time": "2023-09-27T21:47:57.477517", + "duration": 0.011165, + "end_time": "2023-11-06T20:53:11.675522", "exception": false, - "start_time": "2023-09-27T21:47:57.462763", + "start_time": "2023-11-06T20:53:11.664357", "status": "completed" }, "tags": [] @@ -840,16 +840,16 @@ "id": "de7ff046", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:47:57.510132Z", - "iopub.status.busy": "2023-09-27T21:47:57.509438Z", - "iopub.status.idle": "2023-09-27T21:47:58.342019Z", - "shell.execute_reply": "2023-09-27T21:47:58.340890Z" + "iopub.execute_input": "2023-11-06T20:53:11.699069Z", + "iopub.status.busy": "2023-11-06T20:53:11.698407Z", + "iopub.status.idle": "2023-11-06T20:53:12.215812Z", + "shell.execute_reply": "2023-11-06T20:53:12.215154Z" }, "papermill": { - "duration": 0.851508, - "end_time": "2023-09-27T21:47:58.344502", + "duration": 0.530916, + "end_time": "2023-11-06T20:53:12.217212", "exception": false, - "start_time": "2023-09-27T21:47:57.492994", + "start_time": "2023-11-06T20:53:11.686296", "status": "completed" }, "tags": [] @@ -1346,16 +1346,16 @@ "id": "4162185e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:47:58.382461Z", - "iopub.status.busy": "2023-09-27T21:47:58.381393Z", - "iopub.status.idle": "2023-09-27T21:47:58.387157Z", - "shell.execute_reply": "2023-09-27T21:47:58.386039Z" + "iopub.execute_input": "2023-11-06T20:53:12.241946Z", + "iopub.status.busy": "2023-11-06T20:53:12.241319Z", + "iopub.status.idle": "2023-11-06T20:53:12.245397Z", + "shell.execute_reply": "2023-11-06T20:53:12.244639Z" }, "papermill": { - "duration": 0.026234, - "end_time": "2023-09-27T21:47:58.389207", + "duration": 0.017965, + "end_time": "2023-11-06T20:53:12.246966", "exception": false, - "start_time": "2023-09-27T21:47:58.362973", + "start_time": "2023-11-06T20:53:12.229001", "status": "completed" }, "tags": [] @@ -1379,10 +1379,10 @@ "id": "eee284ea", "metadata": { "papermill": { - "duration": 0.016498, - "end_time": "2023-09-27T21:47:58.424717", + "duration": 0.011305, + "end_time": "2023-11-06T20:53:12.269872", "exception": false, - "start_time": "2023-09-27T21:47:58.408219", + "start_time": "2023-11-06T20:53:12.258567", "status": "completed" }, "tags": [] @@ -1399,16 +1399,16 @@ "id": "165b549c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:47:58.461187Z", - "iopub.status.busy": "2023-09-27T21:47:58.460134Z", - "iopub.status.idle": "2023-09-27T21:48:01.567849Z", - "shell.execute_reply": "2023-09-27T21:48:01.566802Z" + "iopub.execute_input": "2023-11-06T20:53:12.293577Z", + "iopub.status.busy": "2023-11-06T20:53:12.293095Z", + "iopub.status.idle": "2023-11-06T20:53:14.255740Z", + "shell.execute_reply": "2023-11-06T20:53:14.255064Z" }, "papermill": { - "duration": 3.128206, - "end_time": "2023-09-27T21:48:01.569797", + "duration": 1.976104, + "end_time": "2023-11-06T20:53:14.257104", "exception": false, - "start_time": "2023-09-27T21:47:58.441591", + "start_time": "2023-11-06T20:53:12.281000", "status": "completed" }, "tags": [] @@ -1435,10 +1435,10 @@ "id": "87b4bd52", "metadata": { "papermill": { - "duration": 0.017889, - "end_time": "2023-09-27T21:48:01.606386", + "duration": 0.011477, + "end_time": "2023-11-06T20:53:14.280448", "exception": false, - "start_time": "2023-09-27T21:48:01.588497", + "start_time": "2023-11-06T20:53:14.268971", "status": "completed" }, "tags": [] @@ -1452,10 +1452,10 @@ "id": "98bae620", "metadata": { "papermill": { - "duration": 0.017769, - "end_time": "2023-09-27T21:48:01.640271", + "duration": 0.011564, + "end_time": "2023-11-06T20:53:14.303573", "exception": false, - "start_time": "2023-09-27T21:48:01.622502", + "start_time": "2023-11-06T20:53:14.292009", "status": "completed" }, "tags": [] @@ -1474,16 +1474,16 @@ "id": "38137dfd", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:48:01.675875Z", - "iopub.status.busy": "2023-09-27T21:48:01.674527Z", - "iopub.status.idle": "2023-09-27T21:49:01.334164Z", - "shell.execute_reply": "2023-09-27T21:49:01.333074Z" + "iopub.execute_input": "2023-11-06T20:53:14.328119Z", + "iopub.status.busy": "2023-11-06T20:53:14.327637Z", + "iopub.status.idle": "2023-11-06T20:54:53.221288Z", + "shell.execute_reply": "2023-11-06T20:54:53.220607Z" }, "papermill": { - "duration": 59.680718, - "end_time": "2023-09-27T21:49:01.336650", + "duration": 98.907941, + "end_time": "2023-11-06T20:54:53.223019", "exception": false, - "start_time": "2023-09-27T21:48:01.655932", + "start_time": "2023-11-06T20:53:14.315078", "status": "completed" }, "scrolled": false, @@ -1495,7 +1495,7 @@ "output_type": "stream", "text": [ "WARNING:root:downloading a 2461.626MiB file from http://api.brain-map.org//api/v2/well_known_file_download/1026124216\n", - "Downloading: 100%|██████████| 2.58G/2.58G [00:56<00:00, 45.7MB/s]\n", + "Downloading: 100%|██████████| 2.58G/2.58G [01:36<00:00, 26.6MB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.1.3 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.2 because version 2.6.0-alpha is already loaded.\n", @@ -1513,10 +1513,10 @@ "id": "f56dcc3a", "metadata": { "papermill": { - "duration": 0.058984, - "end_time": "2023-09-27T21:49:01.457776", + "duration": 0.053281, + "end_time": "2023-11-06T20:54:53.330644", "exception": false, - "start_time": "2023-09-27T21:49:01.398792", + "start_time": "2023-11-06T20:54:53.277363", "status": "completed" }, "tags": [] @@ -1531,16 +1531,16 @@ "id": "439071a3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:01.573210Z", - "iopub.status.busy": "2023-09-27T21:49:01.572759Z", - "iopub.status.idle": "2023-09-27T21:49:02.781638Z", - "shell.execute_reply": "2023-09-27T21:49:02.780463Z" + "iopub.execute_input": "2023-11-06T20:54:53.480683Z", + "iopub.status.busy": "2023-11-06T20:54:53.480229Z", + "iopub.status.idle": "2023-11-06T20:54:54.227919Z", + "shell.execute_reply": "2023-11-06T20:54:54.227208Z" }, "papermill": { - "duration": 1.270142, - "end_time": "2023-09-27T21:49:02.783795", + "duration": 0.803061, + "end_time": "2023-11-06T20:54:54.229318", "exception": false, - "start_time": "2023-09-27T21:49:01.513653", + "start_time": "2023-11-06T20:54:53.426257", "status": "completed" }, "tags": [] @@ -1563,10 +1563,10 @@ "id": "da516ad1", "metadata": { "papermill": { - "duration": 0.053866, - "end_time": "2023-09-27T21:49:02.891380", + "duration": 0.053564, + "end_time": "2023-11-06T20:54:54.335631", "exception": false, - "start_time": "2023-09-27T21:49:02.837514", + "start_time": "2023-11-06T20:54:54.282067", "status": "completed" }, "tags": [] @@ -1580,10 +1580,10 @@ "id": "f4837841", "metadata": { "papermill": { - "duration": 0.051576, - "end_time": "2023-09-27T21:49:03.007475", + "duration": 0.053052, + "end_time": "2023-11-06T20:54:54.442657", "exception": false, - "start_time": "2023-09-27T21:49:02.955899", + "start_time": "2023-11-06T20:54:54.389605", "status": "completed" }, "tags": [] @@ -1602,16 +1602,16 @@ "id": "0f4b6b0b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:03.126437Z", - "iopub.status.busy": "2023-09-27T21:49:03.126020Z", - "iopub.status.idle": "2023-09-27T21:49:34.120768Z", - "shell.execute_reply": "2023-09-27T21:49:34.116855Z" + "iopub.execute_input": "2023-11-06T20:54:54.549951Z", + "iopub.status.busy": "2023-11-06T20:54:54.549330Z", + "iopub.status.idle": "2023-11-06T20:55:06.236725Z", + "shell.execute_reply": "2023-11-06T20:55:06.236000Z" }, "papermill": { - "duration": 31.083584, - "end_time": "2023-09-27T21:49:34.148987", + "duration": 11.74273, + "end_time": "2023-11-06T20:55:06.238237", "exception": false, - "start_time": "2023-09-27T21:49:03.065403", + "start_time": "2023-11-06T20:54:54.495507", "status": "completed" }, "scrolled": false, @@ -2094,10 +2094,10 @@ "id": "bb11e437", "metadata": { "papermill": { - "duration": 0.066546, - "end_time": "2023-09-27T21:49:34.295651", + "duration": 0.053331, + "end_time": "2023-11-06T20:55:06.346246", "exception": false, - "start_time": "2023-09-27T21:49:34.229105", + "start_time": "2023-11-06T20:55:06.292915", "status": "completed" }, "tags": [] @@ -2112,16 +2112,16 @@ "id": "9465b896", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:34.435070Z", - "iopub.status.busy": "2023-09-27T21:49:34.434628Z", - "iopub.status.idle": "2023-09-27T21:49:34.457358Z", - "shell.execute_reply": "2023-09-27T21:49:34.456069Z" + "iopub.execute_input": "2023-11-06T20:55:06.457427Z", + "iopub.status.busy": "2023-11-06T20:55:06.456804Z", + "iopub.status.idle": "2023-11-06T20:55:06.465070Z", + "shell.execute_reply": "2023-11-06T20:55:06.464385Z" }, "papermill": { - "duration": 0.098011, - "end_time": "2023-09-27T21:49:34.461484", + "duration": 0.065687, + "end_time": "2023-11-06T20:55:06.466541", "exception": false, - "start_time": "2023-09-27T21:49:34.363473", + "start_time": "2023-11-06T20:55:06.400854", "status": "completed" }, "tags": [] @@ -2148,10 +2148,10 @@ "id": "79ef0cca", "metadata": { "papermill": { - "duration": 0.05939, - "end_time": "2023-09-27T21:49:34.579281", + "duration": 0.053963, + "end_time": "2023-11-06T20:55:06.575109", "exception": false, - "start_time": "2023-09-27T21:49:34.519891", + "start_time": "2023-11-06T20:55:06.521146", "status": "completed" }, "tags": [] @@ -2170,10 +2170,10 @@ "id": "8c5e03e8", "metadata": { "papermill": { - "duration": 0.056439, - "end_time": "2023-09-27T21:49:34.693333", + "duration": 0.05437, + "end_time": "2023-11-06T20:55:06.683916", "exception": false, - "start_time": "2023-09-27T21:49:34.636894", + "start_time": "2023-11-06T20:55:06.629546", "status": "completed" }, "tags": [] @@ -2192,16 +2192,16 @@ "id": "13bd8021", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:34.818040Z", - "iopub.status.busy": "2023-09-27T21:49:34.817640Z", - "iopub.status.idle": "2023-09-27T21:49:50.991804Z", - "shell.execute_reply": "2023-09-27T21:49:50.990256Z" + "iopub.execute_input": "2023-11-06T20:55:06.794700Z", + "iopub.status.busy": "2023-11-06T20:55:06.794089Z", + "iopub.status.idle": "2023-11-06T20:55:14.688789Z", + "shell.execute_reply": "2023-11-06T20:55:14.688066Z" }, "papermill": { - "duration": 16.240118, - "end_time": "2023-09-27T21:49:50.994038", + "duration": 7.951686, + "end_time": "2023-11-06T20:55:14.690228", "exception": false, - "start_time": "2023-09-27T21:49:34.753920", + "start_time": "2023-11-06T20:55:06.738542", "status": "completed" }, "tags": [] @@ -2241,17 +2241,17 @@ " stimulus_block\n", " start_time\n", " stop_time\n", - " phase\n", " contrast\n", - " y_position\n", - " color\n", + " spatial_frequency\n", " stimulus_name\n", - " temporal_frequency\n", + " x_position\n", + " y_position\n", " size\n", + " color\n", " orientation\n", - " spatial_frequency\n", + " phase\n", + " temporal_frequency\n", " frame\n", - " x_position\n", " duration\n", " stimulus_condition_id\n", " \n", @@ -2283,9 +2283,9 @@ " 84.496188\n", " null\n", " null\n", + " spontaneous\n", " null\n", " null\n", - " spontaneous\n", " null\n", " null\n", " null\n", @@ -2300,17 +2300,17 @@ " 0.0\n", " 84.496188\n", " 84.729704\n", - " [3644.93333333, 3644.93333333]\n", " 0.8\n", - " 30.0\n", - " null\n", + " 0.08\n", " gabors\n", - " 4.0\n", + " 40.0\n", + " 30.0\n", " [20.0, 20.0]\n", + " null\n", " 45.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 40.0\n", " 0.233516\n", " 1\n", " \n", @@ -2319,17 +2319,17 @@ " 0.0\n", " 84.729704\n", " 84.979900\n", - " [3644.93333333, 3644.93333333]\n", " 0.8\n", - " 10.0\n", - " null\n", + " 0.08\n", " gabors\n", - " 4.0\n", + " -30.0\n", + " 10.0\n", " [20.0, 20.0]\n", + " null\n", " 45.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " -30.0\n", " 0.250196\n", " 2\n", " \n", @@ -2338,17 +2338,17 @@ " 0.0\n", " 84.979900\n", " 85.230095\n", - " [3644.93333333, 3644.93333333]\n", " 0.8\n", - " -10.0\n", - " null\n", + " 0.08\n", " gabors\n", - " 4.0\n", + " 10.0\n", + " -10.0\n", " [20.0, 20.0]\n", + " null\n", " 90.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 10.0\n", " 0.250196\n", " 3\n", " \n", @@ -2357,17 +2357,17 @@ " 0.0\n", " 85.230095\n", " 85.480291\n", - " [3644.93333333, 3644.93333333]\n", " 0.8\n", - " 40.0\n", - " null\n", + " 0.08\n", " gabors\n", - " 4.0\n", + " 30.0\n", + " 40.0\n", " [20.0, 20.0]\n", + " null\n", " 90.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 30.0\n", " 0.250196\n", " 4\n", " \n", @@ -2376,45 +2376,45 @@ "" ], "text/plain": [ - " stimulus_block start_time stop_time \\\n", - "stimulus_presentation_id \n", - "0 null 24.429348 84.496188 \n", - "1 0.0 84.496188 84.729704 \n", - "2 0.0 84.729704 84.979900 \n", - "3 0.0 84.979900 85.230095 \n", - "4 0.0 85.230095 85.480291 \n", + " stimulus_block start_time stop_time contrast \\\n", + "stimulus_presentation_id \n", + "0 null 24.429348 84.496188 null \n", + "1 0.0 84.496188 84.729704 0.8 \n", + "2 0.0 84.729704 84.979900 0.8 \n", + "3 0.0 84.979900 85.230095 0.8 \n", + "4 0.0 85.230095 85.480291 0.8 \n", "\n", - " phase contrast y_position \\\n", - "stimulus_presentation_id \n", - "0 null null null \n", - "1 [3644.93333333, 3644.93333333] 0.8 30.0 \n", - "2 [3644.93333333, 3644.93333333] 0.8 10.0 \n", - "3 [3644.93333333, 3644.93333333] 0.8 -10.0 \n", - "4 [3644.93333333, 3644.93333333] 0.8 40.0 \n", + " spatial_frequency stimulus_name x_position \\\n", + "stimulus_presentation_id \n", + "0 null spontaneous null \n", + "1 0.08 gabors 40.0 \n", + "2 0.08 gabors -30.0 \n", + "3 0.08 gabors 10.0 \n", + "4 0.08 gabors 30.0 \n", "\n", - " color stimulus_name temporal_frequency size \\\n", - "stimulus_presentation_id \n", - "0 null spontaneous null null \n", - "1 null gabors 4.0 [20.0, 20.0] \n", - "2 null gabors 4.0 [20.0, 20.0] \n", - "3 null gabors 4.0 [20.0, 20.0] \n", - "4 null gabors 4.0 [20.0, 20.0] \n", + " y_position size color orientation \\\n", + "stimulus_presentation_id \n", + "0 null null null null \n", + "1 30.0 [20.0, 20.0] null 45.0 \n", + "2 10.0 [20.0, 20.0] null 45.0 \n", + "3 -10.0 [20.0, 20.0] null 90.0 \n", + "4 40.0 [20.0, 20.0] null 90.0 \n", "\n", - " orientation spatial_frequency frame x_position \\\n", - "stimulus_presentation_id \n", - "0 null null null null \n", - "1 45.0 0.08 null 40.0 \n", - "2 45.0 0.08 null -30.0 \n", - "3 90.0 0.08 null 10.0 \n", - "4 90.0 0.08 null 30.0 \n", + " phase temporal_frequency \\\n", + "stimulus_presentation_id \n", + "0 null null \n", + "1 [3644.93333333, 3644.93333333] 4.0 \n", + "2 [3644.93333333, 3644.93333333] 4.0 \n", + "3 [3644.93333333, 3644.93333333] 4.0 \n", + "4 [3644.93333333, 3644.93333333] 4.0 \n", "\n", - " duration stimulus_condition_id \n", - "stimulus_presentation_id \n", - "0 60.066840 0 \n", - "1 0.233516 1 \n", - "2 0.250196 2 \n", - "3 0.250196 3 \n", - "4 0.250196 4 " + " frame duration stimulus_condition_id \n", + "stimulus_presentation_id \n", + "0 null 60.066840 0 \n", + "1 null 0.233516 1 \n", + "2 null 0.250196 2 \n", + "3 null 0.250196 3 \n", + "4 null 0.250196 4 " ] }, "execution_count": 15, @@ -2431,10 +2431,10 @@ "id": "06f5cce6", "metadata": { "papermill": { - "duration": 0.059088, - "end_time": "2023-09-27T21:49:51.115672", + "duration": 0.05469, + "end_time": "2023-11-06T20:55:14.800424", "exception": false, - "start_time": "2023-09-27T21:49:51.056584", + "start_time": "2023-11-06T20:55:14.745734", "status": "completed" }, "tags": [] @@ -2459,16 +2459,16 @@ "id": "c0c1aaf5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:51.246341Z", - "iopub.status.busy": "2023-09-27T21:49:51.245549Z", - "iopub.status.idle": "2023-09-27T21:49:51.327666Z", - "shell.execute_reply": "2023-09-27T21:49:51.326535Z" + "iopub.execute_input": "2023-11-06T20:55:14.912933Z", + "iopub.status.busy": "2023-11-06T20:55:14.912303Z", + "iopub.status.idle": "2023-11-06T20:55:14.948617Z", + "shell.execute_reply": "2023-11-06T20:55:14.947925Z" }, "papermill": { - "duration": 0.152014, - "end_time": "2023-09-27T21:49:51.329800", + "duration": 0.094102, + "end_time": "2023-11-06T20:55:14.950021", "exception": false, - "start_time": "2023-09-27T21:49:51.177786", + "start_time": "2023-11-06T20:55:14.855919", "status": "completed" }, "tags": [] @@ -2501,10 +2501,10 @@ "id": "45e750c0", "metadata": { "papermill": { - "duration": 0.058628, - "end_time": "2023-09-27T21:49:51.447622", + "duration": 0.055165, + "end_time": "2023-11-06T20:55:15.061186", "exception": false, - "start_time": "2023-09-27T21:49:51.388994", + "start_time": "2023-11-06T20:55:15.006021", "status": "completed" }, "tags": [] @@ -2519,16 +2519,16 @@ "id": "23374ddb", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:52.918505Z", - "iopub.status.busy": "2023-09-27T21:49:52.917752Z", - "iopub.status.idle": "2023-09-27T21:49:53.066028Z", - "shell.execute_reply": "2023-09-27T21:49:53.065005Z" + "iopub.execute_input": "2023-11-06T20:55:15.173318Z", + "iopub.status.busy": "2023-11-06T20:55:15.172818Z", + "iopub.status.idle": "2023-11-06T20:55:15.251628Z", + "shell.execute_reply": "2023-11-06T20:55:15.250908Z" }, "papermill": { - "duration": 0.212056, - "end_time": "2023-09-27T21:49:53.069133", + "duration": 0.136641, + "end_time": "2023-11-06T20:55:15.253115", "exception": false, - "start_time": "2023-09-27T21:49:52.857077", + "start_time": "2023-11-06T20:55:15.116474", "status": "completed" }, "tags": [] @@ -2855,10 +2855,10 @@ "id": "4ee655ea", "metadata": { "papermill": { - "duration": 0.053102, - "end_time": "2023-09-27T21:49:53.192205", + "duration": 0.054935, + "end_time": "2023-11-06T20:55:15.363159", "exception": false, - "start_time": "2023-09-27T21:49:53.139103", + "start_time": "2023-11-06T20:55:15.308224", "status": "completed" }, "tags": [] @@ -2873,16 +2873,16 @@ "id": "934c1866", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:53.311048Z", - "iopub.status.busy": "2023-09-27T21:49:53.310092Z", - "iopub.status.idle": "2023-09-27T21:49:53.353744Z", - "shell.execute_reply": "2023-09-27T21:49:53.352276Z" + "iopub.execute_input": "2023-11-06T20:55:15.495052Z", + "iopub.status.busy": "2023-11-06T20:55:15.494529Z", + "iopub.status.idle": "2023-11-06T20:55:15.518931Z", + "shell.execute_reply": "2023-11-06T20:55:15.518145Z" }, "papermill": { - "duration": 0.105008, - "end_time": "2023-09-27T21:49:53.356322", + "duration": 0.102042, + "end_time": "2023-11-06T20:55:15.520357", "exception": false, - "start_time": "2023-09-27T21:49:53.251314", + "start_time": "2023-11-06T20:55:15.418315", "status": "completed" }, "tags": [] @@ -2912,13 +2912,13 @@ " stimulus_block\n", " start_time\n", " stop_time\n", - " phase\n", " contrast\n", + " spatial_frequency\n", " stimulus_name\n", - " temporal_frequency\n", " size\n", " orientation\n", - " spatial_frequency\n", + " phase\n", + " temporal_frequency\n", " duration\n", " stimulus_condition_id\n", " \n", @@ -2944,13 +2944,13 @@ " 2.0\n", " 1585.734418\n", " 1587.736098\n", - " [42471.86666667, 42471.86666667]\n", " 0.8\n", + " 0.04\n", " drifting_gratings\n", - " 2.0\n", " [250.0, 250.0]\n", " 180.0\n", - " 0.04\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " 2.00168\n", " 246\n", " \n", @@ -2959,13 +2959,13 @@ " 2.0\n", " 1588.736891\n", " 1590.738571\n", - " [42471.86666667, 42471.86666667]\n", " 0.8\n", + " 0.04\n", " drifting_gratings\n", - " 2.0\n", " [250.0, 250.0]\n", " 135.0\n", - " 0.04\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " 2.00168\n", " 247\n", " \n", @@ -2974,13 +2974,13 @@ " 2.0\n", " 1591.739398\n", " 1593.741078\n", - " [42471.86666667, 42471.86666667]\n", " 0.8\n", + " 0.04\n", " drifting_gratings\n", - " 2.0\n", " [250.0, 250.0]\n", " 180.0\n", - " 0.04\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " 2.00168\n", " 246\n", " \n", @@ -2989,13 +2989,13 @@ " 2.0\n", " 1594.741921\n", " 1596.743591\n", - " [42471.86666667, 42471.86666667]\n", " 0.8\n", + " 0.04\n", " drifting_gratings\n", - " 2.0\n", " [250.0, 250.0]\n", " 270.0\n", - " 0.04\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " 2.00167\n", " 248\n", " \n", @@ -3004,13 +3004,13 @@ " 2.0\n", " 1597.744458\n", " 1599.746088\n", - " [42471.86666667, 42471.86666667]\n", " 0.8\n", + " 0.04\n", " drifting_gratings\n", - " 4.0\n", " [250.0, 250.0]\n", " 135.0\n", - " 0.04\n", + " [42471.86666667, 42471.86666667]\n", + " 4.0\n", " 2.00163\n", " 249\n", " \n", @@ -3019,45 +3019,37 @@ "" ], "text/plain": [ - " stimulus_block start_time stop_time \\\n", - "stimulus_presentation_id \n", - "3798 2.0 1585.734418 1587.736098 \n", - "3799 2.0 1588.736891 1590.738571 \n", - "3800 2.0 1591.739398 1593.741078 \n", - "3801 2.0 1594.741921 1596.743591 \n", - "3802 2.0 1597.744458 1599.746088 \n", - "\n", - " phase contrast \\\n", - "stimulus_presentation_id \n", - "3798 [42471.86666667, 42471.86666667] 0.8 \n", - "3799 [42471.86666667, 42471.86666667] 0.8 \n", - "3800 [42471.86666667, 42471.86666667] 0.8 \n", - "3801 [42471.86666667, 42471.86666667] 0.8 \n", - "3802 [42471.86666667, 42471.86666667] 0.8 \n", + " stimulus_block start_time stop_time contrast \\\n", + "stimulus_presentation_id \n", + "3798 2.0 1585.734418 1587.736098 0.8 \n", + "3799 2.0 1588.736891 1590.738571 0.8 \n", + "3800 2.0 1591.739398 1593.741078 0.8 \n", + "3801 2.0 1594.741921 1596.743591 0.8 \n", + "3802 2.0 1597.744458 1599.746088 0.8 \n", "\n", - " stimulus_name temporal_frequency \\\n", - "stimulus_presentation_id \n", - "3798 drifting_gratings 2.0 \n", - "3799 drifting_gratings 2.0 \n", - "3800 drifting_gratings 2.0 \n", - "3801 drifting_gratings 2.0 \n", - "3802 drifting_gratings 4.0 \n", + " spatial_frequency stimulus_name size \\\n", + "stimulus_presentation_id \n", + "3798 0.04 drifting_gratings [250.0, 250.0] \n", + "3799 0.04 drifting_gratings [250.0, 250.0] \n", + "3800 0.04 drifting_gratings [250.0, 250.0] \n", + "3801 0.04 drifting_gratings [250.0, 250.0] \n", + "3802 0.04 drifting_gratings [250.0, 250.0] \n", "\n", - " size orientation spatial_frequency \\\n", + " orientation phase \\\n", "stimulus_presentation_id \n", - "3798 [250.0, 250.0] 180.0 0.04 \n", - "3799 [250.0, 250.0] 135.0 0.04 \n", - "3800 [250.0, 250.0] 180.0 0.04 \n", - "3801 [250.0, 250.0] 270.0 0.04 \n", - "3802 [250.0, 250.0] 135.0 0.04 \n", + "3798 180.0 [42471.86666667, 42471.86666667] \n", + "3799 135.0 [42471.86666667, 42471.86666667] \n", + "3800 180.0 [42471.86666667, 42471.86666667] \n", + "3801 270.0 [42471.86666667, 42471.86666667] \n", + "3802 135.0 [42471.86666667, 42471.86666667] \n", "\n", - " duration stimulus_condition_id \n", - "stimulus_presentation_id \n", - "3798 2.00168 246 \n", - "3799 2.00168 247 \n", - "3800 2.00168 246 \n", - "3801 2.00167 248 \n", - "3802 2.00163 249 " + " temporal_frequency duration stimulus_condition_id \n", + "stimulus_presentation_id \n", + "3798 2.0 2.00168 246 \n", + "3799 2.0 2.00168 247 \n", + "3800 2.0 2.00168 246 \n", + "3801 2.0 2.00167 248 \n", + "3802 4.0 2.00163 249 " ] }, "execution_count": 18, @@ -3074,10 +3066,10 @@ "id": "7b8b1c10", "metadata": { "papermill": { - "duration": 0.062988, - "end_time": "2023-09-27T21:49:53.477062", + "duration": 0.055078, + "end_time": "2023-11-06T20:55:15.630702", "exception": false, - "start_time": "2023-09-27T21:49:53.414074", + "start_time": "2023-11-06T20:55:15.575624", "status": "completed" }, "tags": [] @@ -3092,16 +3084,16 @@ "id": "8b65ac34", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:53.607082Z", - "iopub.status.busy": "2023-09-27T21:49:53.606245Z", - "iopub.status.idle": "2023-09-27T21:49:53.981146Z", - "shell.execute_reply": "2023-09-27T21:49:53.980076Z" + "iopub.execute_input": "2023-11-06T20:55:15.743258Z", + "iopub.status.busy": "2023-11-06T20:55:15.742621Z", + "iopub.status.idle": "2023-11-06T20:55:15.955925Z", + "shell.execute_reply": "2023-11-06T20:55:15.955093Z" }, "papermill": { - "duration": 0.443046, - "end_time": "2023-09-27T21:49:53.983832", + "duration": 0.271162, + "end_time": "2023-11-06T20:55:15.957339", "exception": false, - "start_time": "2023-09-27T21:49:53.540786", + "start_time": "2023-11-06T20:55:15.686177", "status": "completed" }, "scrolled": false, @@ -3112,17 +3104,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "phase: ['[3644.93333333, 3644.93333333]' '[0.0, 0.0]'\n", - " '[42471.86666667, 42471.86666667]' '0.0' '0.25' '0.5' '0.75']\n", "contrast: [0.8 1.0]\n", + "spatial_frequency: ['0.08' '[0.0, 0.0]' '0.04' 0.08 0.04 0.32 0.02 0.16]\n", + "x_position: [40.0 -30.0 10.0 30.0 0.0 -40.0 -20.0 -10.0 20.0]\n", "y_position: [30.0 10.0 -10.0 40.0 -40.0 -20.0 0.0 20.0 -30.0]\n", - "color: [-1.0 1.0]\n", - "temporal_frequency: [4.0 2.0 15.0 1.0 8.0]\n", "size: ['[20.0, 20.0]' '[300.0, 300.0]' '[250.0, 250.0]' '[1920.0, 1080.0]']\n", + "color: [-1.0 1.0]\n", "orientation: [45.0 90.0 0.0 180.0 135.0 270.0 315.0 225.0 30.0 150.0 120.0 60.0]\n", - "spatial_frequency: ['0.08' '[0.0, 0.0]' '0.04' 0.08 0.04 0.32 0.02 0.16]\n", - "frame: [0.0 1.0 2.0 ... 3598.0 3599.0 -1.0]\n", - "x_position: [40.0 -30.0 10.0 30.0 0.0 -40.0 -20.0 -10.0 20.0]\n" + "phase: ['[3644.93333333, 3644.93333333]' '[0.0, 0.0]'\n", + " '[42471.86666667, 42471.86666667]' '0.0' '0.25' '0.5' '0.75']\n", + "temporal_frequency: [4.0 2.0 15.0 1.0 8.0]\n", + "frame: [0.0 1.0 2.0 ... 3598.0 3599.0 -1.0]\n" ] } ], @@ -3136,10 +3128,10 @@ "id": "c323f7b2", "metadata": { "papermill": { - "duration": 0.059451, - "end_time": "2023-09-27T21:49:54.105603", + "duration": 0.055176, + "end_time": "2023-11-06T20:55:16.069142", "exception": false, - "start_time": "2023-09-27T21:49:54.046152", + "start_time": "2023-11-06T20:55:16.013966", "status": "completed" }, "tags": [] @@ -3156,16 +3148,16 @@ "id": "642879b9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:54.232176Z", - "iopub.status.busy": "2023-09-27T21:49:54.231290Z", - "iopub.status.idle": "2023-09-27T21:49:54.314539Z", - "shell.execute_reply": "2023-09-27T21:49:54.313306Z" + "iopub.execute_input": "2023-11-06T20:55:16.181516Z", + "iopub.status.busy": "2023-11-06T20:55:16.180994Z", + "iopub.status.idle": "2023-11-06T20:55:16.217511Z", + "shell.execute_reply": "2023-11-06T20:55:16.216715Z" }, "papermill": { - "duration": 0.151257, - "end_time": "2023-09-27T21:49:54.316788", + "duration": 0.094601, + "end_time": "2023-11-06T20:55:16.218971", "exception": false, - "start_time": "2023-09-27T21:49:54.165531", + "start_time": "2023-11-06T20:55:16.124370", "status": "completed" }, "tags": [] @@ -3192,20 +3184,20 @@ " \n", " \n", " \n", - " phase\n", - " units\n", - " contrast\n", - " y_position\n", - " color\n", " mask\n", - " stimulus_name\n", - " temporal_frequency\n", + " contrast\n", " opacity\n", + " spatial_frequency\n", + " stimulus_name\n", + " x_position\n", + " y_position\n", " size\n", + " units\n", + " color\n", " orientation\n", - " spatial_frequency\n", + " phase\n", + " temporal_frequency\n", " frame\n", - " x_position\n", " color_triplet\n", " \n", " \n", @@ -3234,9 +3226,9 @@ " null\n", " null\n", " null\n", + " spontaneous\n", " null\n", " null\n", - " spontaneous\n", " null\n", " null\n", " null\n", @@ -3248,74 +3240,74 @@ " \n", " \n", " 1\n", - " [3644.93333333, 3644.93333333]\n", - " deg\n", - " 0.8\n", - " 30.0\n", - " null\n", " circle\n", - " gabors\n", - " 4.0\n", + " 0.8\n", " True\n", + " 0.08\n", + " gabors\n", + " 40.0\n", + " 30.0\n", " [20.0, 20.0]\n", + " deg\n", + " null\n", " 45.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 40.0\n", " [1.0, 1.0, 1.0]\n", " \n", " \n", " 2\n", - " [3644.93333333, 3644.93333333]\n", - " deg\n", - " 0.8\n", - " 10.0\n", - " null\n", " circle\n", - " gabors\n", - " 4.0\n", + " 0.8\n", " True\n", + " 0.08\n", + " gabors\n", + " -30.0\n", + " 10.0\n", " [20.0, 20.0]\n", + " deg\n", + " null\n", " 45.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " -30.0\n", " [1.0, 1.0, 1.0]\n", " \n", " \n", " 3\n", - " [3644.93333333, 3644.93333333]\n", - " deg\n", - " 0.8\n", - " -10.0\n", - " null\n", " circle\n", - " gabors\n", - " 4.0\n", + " 0.8\n", " True\n", + " 0.08\n", + " gabors\n", + " 10.0\n", + " -10.0\n", " [20.0, 20.0]\n", + " deg\n", + " null\n", " 90.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 10.0\n", " [1.0, 1.0, 1.0]\n", " \n", " \n", " 4\n", - " [3644.93333333, 3644.93333333]\n", - " deg\n", - " 0.8\n", - " 40.0\n", - " null\n", " circle\n", - " gabors\n", - " 4.0\n", + " 0.8\n", " True\n", + " 0.08\n", + " gabors\n", + " 30.0\n", + " 40.0\n", " [20.0, 20.0]\n", + " deg\n", + " null\n", " 90.0\n", - " 0.08\n", + " [3644.93333333, 3644.93333333]\n", + " 4.0\n", " null\n", - " 30.0\n", " [1.0, 1.0, 1.0]\n", " \n", " \n", @@ -3323,37 +3315,37 @@ "" ], "text/plain": [ - " phase units contrast \\\n", - "stimulus_condition_id \n", - "0 null null null \n", - "1 [3644.93333333, 3644.93333333] deg 0.8 \n", - "2 [3644.93333333, 3644.93333333] deg 0.8 \n", - "3 [3644.93333333, 3644.93333333] deg 0.8 \n", - "4 [3644.93333333, 3644.93333333] deg 0.8 \n", + " mask contrast opacity spatial_frequency \\\n", + "stimulus_condition_id \n", + "0 null null null null \n", + "1 circle 0.8 True 0.08 \n", + "2 circle 0.8 True 0.08 \n", + "3 circle 0.8 True 0.08 \n", + "4 circle 0.8 True 0.08 \n", "\n", - " y_position color mask stimulus_name \\\n", - "stimulus_condition_id \n", - "0 null null null spontaneous \n", - "1 30.0 null circle gabors \n", - "2 10.0 null circle gabors \n", - "3 -10.0 null circle gabors \n", - "4 40.0 null circle gabors \n", + " stimulus_name x_position y_position size units \\\n", + "stimulus_condition_id \n", + "0 spontaneous null null null null \n", + "1 gabors 40.0 30.0 [20.0, 20.0] deg \n", + "2 gabors -30.0 10.0 [20.0, 20.0] deg \n", + "3 gabors 10.0 -10.0 [20.0, 20.0] deg \n", + "4 gabors 30.0 40.0 [20.0, 20.0] deg \n", "\n", - " temporal_frequency opacity size orientation \\\n", - "stimulus_condition_id \n", - "0 null null null null \n", - "1 4.0 True [20.0, 20.0] 45.0 \n", - "2 4.0 True [20.0, 20.0] 45.0 \n", - "3 4.0 True [20.0, 20.0] 90.0 \n", - "4 4.0 True [20.0, 20.0] 90.0 \n", + " color orientation phase \\\n", + "stimulus_condition_id \n", + "0 null null null \n", + "1 null 45.0 [3644.93333333, 3644.93333333] \n", + "2 null 45.0 [3644.93333333, 3644.93333333] \n", + "3 null 90.0 [3644.93333333, 3644.93333333] \n", + "4 null 90.0 [3644.93333333, 3644.93333333] \n", "\n", - " spatial_frequency frame x_position color_triplet \n", - "stimulus_condition_id \n", - "0 null null null null \n", - "1 0.08 null 40.0 [1.0, 1.0, 1.0] \n", - "2 0.08 null -30.0 [1.0, 1.0, 1.0] \n", - "3 0.08 null 10.0 [1.0, 1.0, 1.0] \n", - "4 0.08 null 30.0 [1.0, 1.0, 1.0] " + " temporal_frequency frame color_triplet \n", + "stimulus_condition_id \n", + "0 null null null \n", + "1 4.0 null [1.0, 1.0, 1.0] \n", + "2 4.0 null [1.0, 1.0, 1.0] \n", + "3 4.0 null [1.0, 1.0, 1.0] \n", + "4 4.0 null [1.0, 1.0, 1.0] " ] }, "execution_count": 20, @@ -3370,10 +3362,10 @@ "id": "3cd4d15f", "metadata": { "papermill": { - "duration": 0.061808, - "end_time": "2023-09-27T21:49:54.447315", + "duration": 0.054204, + "end_time": "2023-11-06T20:55:16.328198", "exception": false, - "start_time": "2023-09-27T21:49:54.385507", + "start_time": "2023-11-06T20:55:16.273994", "status": "completed" }, "tags": [] @@ -3390,16 +3382,16 @@ "id": "aaf29257", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:49:54.574526Z", - "iopub.status.busy": "2023-09-27T21:49:54.573724Z", - "iopub.status.idle": "2023-09-27T21:50:26.427116Z", - "shell.execute_reply": "2023-09-27T21:50:26.425771Z" + "iopub.execute_input": "2023-11-06T20:55:16.440047Z", + "iopub.status.busy": "2023-11-06T20:55:16.439524Z", + "iopub.status.idle": "2023-11-06T20:55:24.123140Z", + "shell.execute_reply": "2023-11-06T20:55:24.122428Z" }, "papermill": { - "duration": 31.987388, - "end_time": "2023-09-27T21:50:26.496009", + "duration": 7.741351, + "end_time": "2023-11-06T20:55:24.124514", "exception": false, - "start_time": "2023-09-27T21:49:54.508621", + "start_time": "2023-11-06T20:55:16.383163", "status": "completed" }, "scrolled": true, @@ -3439,10 +3431,10 @@ "id": "c403963b", "metadata": { "papermill": { - "duration": 0.063468, - "end_time": "2023-09-27T21:50:26.624224", + "duration": 0.054879, + "end_time": "2023-11-06T20:55:24.234852", "exception": false, - "start_time": "2023-09-27T21:50:26.560756", + "start_time": "2023-11-06T20:55:24.179973", "status": "completed" }, "tags": [] @@ -3457,16 +3449,16 @@ "id": "f6364f19", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:50:26.757187Z", - "iopub.status.busy": "2023-09-27T21:50:26.754039Z", - "iopub.status.idle": "2023-09-27T21:50:28.656481Z", - "shell.execute_reply": "2023-09-27T21:50:28.655462Z" + "iopub.execute_input": "2023-11-06T20:55:24.389299Z", + "iopub.status.busy": "2023-11-06T20:55:24.388705Z", + "iopub.status.idle": "2023-11-06T20:55:25.121099Z", + "shell.execute_reply": "2023-11-06T20:55:25.120369Z" }, "papermill": { - "duration": 1.974227, - "end_time": "2023-09-27T21:50:28.659353", + "duration": 0.832388, + "end_time": "2023-11-06T20:55:25.122466", "exception": false, - "start_time": "2023-09-27T21:50:26.685126", + "start_time": "2023-11-06T20:55:24.290078", "status": "completed" }, "tags": [] @@ -3581,10 +3573,10 @@ "id": "4b82ecaa", "metadata": { "papermill": { - "duration": 0.063147, - "end_time": "2023-09-27T21:50:28.779105", + "duration": 0.055664, + "end_time": "2023-11-06T20:55:25.233608", "exception": false, - "start_time": "2023-09-27T21:50:28.715958", + "start_time": "2023-11-06T20:55:25.177944", "status": "completed" }, "tags": [] @@ -3599,16 +3591,16 @@ "id": "ecf229a4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:50:28.907134Z", - "iopub.status.busy": "2023-09-27T21:50:28.906594Z", - "iopub.status.idle": "2023-09-27T21:50:29.622349Z", - "shell.execute_reply": "2023-09-27T21:50:29.621087Z" + "iopub.execute_input": "2023-11-06T20:55:25.345855Z", + "iopub.status.busy": "2023-11-06T20:55:25.345351Z", + "iopub.status.idle": "2023-11-06T20:55:25.624058Z", + "shell.execute_reply": "2023-11-06T20:55:25.623343Z" }, "papermill": { - "duration": 0.781368, - "end_time": "2023-09-27T21:50:29.624372", + "duration": 0.33634, + "end_time": "2023-11-06T20:55:25.625481", "exception": false, - "start_time": "2023-09-27T21:50:28.843004", + "start_time": "2023-11-06T20:55:25.289141", "status": "completed" }, "scrolled": false, @@ -3617,7 +3609,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -3631,17 +3623,17 @@ "stimulus_block 2.0\n", "start_time 1585.734418\n", "stop_time 1587.736098\n", - "phase [42471.86666667, 42471.86666667]\n", "contrast 0.8\n", - "y_position null\n", - "color null\n", + "spatial_frequency 0.04\n", "stimulus_name drifting_gratings\n", - "temporal_frequency 2.0\n", + "x_position null\n", + "y_position null\n", "size [250.0, 250.0]\n", + "color null\n", "orientation 180.0\n", - "spatial_frequency 0.04\n", + "phase [42471.86666667, 42471.86666667]\n", + "temporal_frequency 2.0\n", "frame null\n", - "x_position null\n", "duration 2.00168\n", "stimulus_condition_id 246\n", "Name: 3798, dtype: object" @@ -3668,10 +3660,10 @@ "id": "b1bfb6b1", "metadata": { "papermill": { - "duration": 0.062166, - "end_time": "2023-09-27T21:50:29.752150", + "duration": 0.055222, + "end_time": "2023-11-06T20:55:25.736610", "exception": false, - "start_time": "2023-09-27T21:50:29.689984", + "start_time": "2023-11-06T20:55:25.681388", "status": "completed" }, "tags": [] @@ -3686,16 +3678,16 @@ "id": "5b1096d1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:50:29.887500Z", - "iopub.status.busy": "2023-09-27T21:50:29.886901Z", - "iopub.status.idle": "2023-09-27T21:50:32.638153Z", - "shell.execute_reply": "2023-09-27T21:50:32.637060Z" + "iopub.execute_input": "2023-11-06T20:55:25.849423Z", + "iopub.status.busy": "2023-11-06T20:55:25.848799Z", + "iopub.status.idle": "2023-11-06T20:55:27.203240Z", + "shell.execute_reply": "2023-11-06T20:55:27.202455Z" }, "papermill": { - "duration": 2.820361, - "end_time": "2023-09-27T21:50:32.641122", + "duration": 1.412829, + "end_time": "2023-11-06T20:55:27.204664", "exception": false, - "start_time": "2023-09-27T21:50:29.820761", + "start_time": "2023-11-06T20:55:25.791835", "status": "completed" }, "tags": [] @@ -3728,20 +3720,20 @@ " spike_mean\n", " spike_std\n", " spike_sem\n", - " phase\n", - " units\n", - " contrast\n", - " y_position\n", - " color\n", " mask\n", - " stimulus_name\n", - " temporal_frequency\n", + " contrast\n", " opacity\n", + " spatial_frequency\n", + " stimulus_name\n", + " x_position\n", + " y_position\n", " size\n", + " units\n", + " color\n", " orientation\n", - " spatial_frequency\n", + " phase\n", + " temporal_frequency\n", " frame\n", - " x_position\n", " color_triplet\n", " \n", " \n", @@ -3778,19 +3770,19 @@ " 0.866667\n", " 1.995232\n", " 0.515167\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 180.0\n", - " 0.04\n", + " deg\n", " null\n", + " 180.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -3802,19 +3794,19 @@ " 1.733333\n", " 2.737743\n", " 0.706882\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 180.0\n", - " 0.04\n", + " deg\n", " null\n", + " 180.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -3826,19 +3818,19 @@ " 6.866667\n", " 7.414914\n", " 1.914523\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 180.0\n", - " 0.04\n", + " deg\n", " null\n", + " 180.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -3850,19 +3842,19 @@ " 0.266667\n", " 0.593617\n", " 0.153271\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 180.0\n", - " 0.04\n", + " deg\n", " null\n", + " 180.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -3874,19 +3866,19 @@ " 5.533333\n", " 2.587516\n", " 0.668094\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 180.0\n", - " 0.04\n", + " deg\n", " null\n", + " 180.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -3903,53 +3895,53 @@ "951801187 246 4 15 \n", "951801462 246 83 15 \n", "\n", - " spike_mean spike_std spike_sem \\\n", - "unit_id stimulus_condition_id \n", - "951799336 246 0.866667 1.995232 0.515167 \n", - "951800977 246 1.733333 2.737743 0.706882 \n", - "951801127 246 6.866667 7.414914 1.914523 \n", - "951801187 246 0.266667 0.593617 0.153271 \n", - "951801462 246 5.533333 2.587516 0.668094 \n", - "\n", - " phase units \\\n", + " spike_mean spike_std spike_sem mask \\\n", "unit_id stimulus_condition_id \n", - "951799336 246 [42471.86666667, 42471.86666667] deg \n", - "951800977 246 [42471.86666667, 42471.86666667] deg \n", - "951801127 246 [42471.86666667, 42471.86666667] deg \n", - "951801187 246 [42471.86666667, 42471.86666667] deg \n", - "951801462 246 [42471.86666667, 42471.86666667] deg \n", + "951799336 246 0.866667 1.995232 0.515167 None \n", + "951800977 246 1.733333 2.737743 0.706882 None \n", + "951801127 246 6.866667 7.414914 1.914523 None \n", + "951801187 246 0.266667 0.593617 0.153271 None \n", + "951801462 246 5.533333 2.587516 0.668094 None \n", "\n", - " contrast y_position color mask \\\n", - "unit_id stimulus_condition_id \n", - "951799336 246 0.8 null null None \n", - "951800977 246 0.8 null null None \n", - "951801127 246 0.8 null null None \n", - "951801187 246 0.8 null null None \n", - "951801462 246 0.8 null null None \n", + " contrast opacity spatial_frequency \\\n", + "unit_id stimulus_condition_id \n", + "951799336 246 0.8 True 0.04 \n", + "951800977 246 0.8 True 0.04 \n", + "951801127 246 0.8 True 0.04 \n", + "951801187 246 0.8 True 0.04 \n", + "951801462 246 0.8 True 0.04 \n", "\n", - " stimulus_name temporal_frequency opacity \\\n", - "unit_id stimulus_condition_id \n", - "951799336 246 drifting_gratings 2.0 True \n", - "951800977 246 drifting_gratings 2.0 True \n", - "951801127 246 drifting_gratings 2.0 True \n", - "951801187 246 drifting_gratings 2.0 True \n", - "951801462 246 drifting_gratings 2.0 True \n", + " stimulus_name x_position y_position \\\n", + "unit_id stimulus_condition_id \n", + "951799336 246 drifting_gratings null null \n", + "951800977 246 drifting_gratings null null \n", + "951801127 246 drifting_gratings null null \n", + "951801187 246 drifting_gratings null null \n", + "951801462 246 drifting_gratings null null \n", "\n", - " size orientation spatial_frequency \\\n", - "unit_id stimulus_condition_id \n", - "951799336 246 [250.0, 250.0] 180.0 0.04 \n", - "951800977 246 [250.0, 250.0] 180.0 0.04 \n", - "951801127 246 [250.0, 250.0] 180.0 0.04 \n", - "951801187 246 [250.0, 250.0] 180.0 0.04 \n", - "951801462 246 [250.0, 250.0] 180.0 0.04 \n", + " size units color orientation \\\n", + "unit_id stimulus_condition_id \n", + "951799336 246 [250.0, 250.0] deg null 180.0 \n", + "951800977 246 [250.0, 250.0] deg null 180.0 \n", + "951801127 246 [250.0, 250.0] deg null 180.0 \n", + "951801187 246 [250.0, 250.0] deg null 180.0 \n", + "951801462 246 [250.0, 250.0] deg null 180.0 \n", + "\n", + " phase \\\n", + "unit_id stimulus_condition_id \n", + "951799336 246 [42471.86666667, 42471.86666667] \n", + "951800977 246 [42471.86666667, 42471.86666667] \n", + "951801127 246 [42471.86666667, 42471.86666667] \n", + "951801187 246 [42471.86666667, 42471.86666667] \n", + "951801462 246 [42471.86666667, 42471.86666667] \n", "\n", - " frame x_position color_triplet \n", - "unit_id stimulus_condition_id \n", - "951799336 246 null null [1.0, 1.0, 1.0] \n", - "951800977 246 null null [1.0, 1.0, 1.0] \n", - "951801127 246 null null [1.0, 1.0, 1.0] \n", - "951801187 246 null null [1.0, 1.0, 1.0] \n", - "951801462 246 null null [1.0, 1.0, 1.0] " + " temporal_frequency frame color_triplet \n", + "unit_id stimulus_condition_id \n", + "951799336 246 2.0 null [1.0, 1.0, 1.0] \n", + "951800977 246 2.0 null [1.0, 1.0, 1.0] \n", + "951801127 246 2.0 null [1.0, 1.0, 1.0] \n", + "951801187 246 2.0 null [1.0, 1.0, 1.0] \n", + "951801462 246 2.0 null [1.0, 1.0, 1.0] " ] }, "execution_count": 24, @@ -3974,10 +3966,10 @@ "id": "b86845dd", "metadata": { "papermill": { - "duration": 0.064233, - "end_time": "2023-09-27T21:50:32.768524", + "duration": 0.055355, + "end_time": "2023-11-06T20:55:27.315576", "exception": false, - "start_time": "2023-09-27T21:50:32.704291", + "start_time": "2023-11-06T20:55:27.260221", "status": "completed" }, "tags": [] @@ -3992,16 +3984,16 @@ "id": "3d6b45d3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:50:32.889404Z", - "iopub.status.busy": "2023-09-27T21:50:32.888418Z", - "iopub.status.idle": "2023-09-27T21:50:32.992529Z", - "shell.execute_reply": "2023-09-27T21:50:32.983514Z" + "iopub.execute_input": "2023-11-06T20:55:27.429255Z", + "iopub.status.busy": "2023-11-06T20:55:27.428725Z", + "iopub.status.idle": "2023-11-06T20:55:27.475562Z", + "shell.execute_reply": "2023-11-06T20:55:27.474786Z" }, "papermill": { - "duration": 0.168401, - "end_time": "2023-09-27T21:50:32.995480", + "duration": 0.105107, + "end_time": "2023-11-06T20:55:27.476954", "exception": false, - "start_time": "2023-09-27T21:50:32.827079", + "start_time": "2023-11-06T20:55:27.371847", "status": "completed" }, "tags": [] @@ -4033,20 +4025,20 @@ " spike_mean\n", " spike_std\n", " spike_sem\n", - " phase\n", - " units\n", - " contrast\n", - " y_position\n", - " color\n", " mask\n", - " stimulus_name\n", - " temporal_frequency\n", + " contrast\n", " opacity\n", + " spatial_frequency\n", + " stimulus_name\n", + " x_position\n", + " y_position\n", " size\n", + " units\n", + " color\n", " orientation\n", - " spatial_frequency\n", + " phase\n", + " temporal_frequency\n", " frame\n", - " x_position\n", " color_triplet\n", " \n", " \n", @@ -4081,19 +4073,19 @@ " 5.400000\n", " 9.287472\n", " 2.398015\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 4.0\n", - " True\n", " [250.0, 250.0]\n", - " 0.0\n", - " 0.04\n", + " deg\n", " null\n", + " 0.0\n", + " [42471.86666667, 42471.86666667]\n", + " 4.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -4104,19 +4096,19 @@ " 2.733333\n", " 2.840188\n", " 0.733333\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 1.0\n", - " True\n", " [250.0, 250.0]\n", - " 45.0\n", - " 0.04\n", + " deg\n", " null\n", + " 45.0\n", + " [42471.86666667, 42471.86666667]\n", + " 1.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -4127,19 +4119,19 @@ " 13.933333\n", " 9.728211\n", " 2.511813\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 1.0\n", - " True\n", " [250.0, 250.0]\n", - " 90.0\n", - " 0.04\n", + " deg\n", " null\n", + " 90.0\n", + " [42471.86666667, 42471.86666667]\n", + " 1.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -4150,19 +4142,19 @@ " 3.533333\n", " 5.902380\n", " 1.523988\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 4.0\n", - " True\n", " [250.0, 250.0]\n", - " 270.0\n", - " 0.04\n", + " deg\n", " null\n", + " 270.0\n", + " [42471.86666667, 42471.86666667]\n", + " 4.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -4173,19 +4165,19 @@ " 9.066667\n", " 5.161211\n", " 1.332619\n", - " [42471.86666667, 42471.86666667]\n", - " deg\n", + " None\n", " 0.8\n", + " True\n", + " 0.04\n", + " drifting_gratings\n", " null\n", " null\n", - " None\n", - " drifting_gratings\n", - " 2.0\n", - " True\n", " [250.0, 250.0]\n", - " 45.0\n", - " 0.04\n", + " deg\n", " null\n", + " 45.0\n", + " [42471.86666667, 42471.86666667]\n", + " 2.0\n", " null\n", " [1.0, 1.0, 1.0]\n", " \n", @@ -4202,37 +4194,37 @@ "951801187 53 15 3.533333 5.902380 \n", "951801462 136 15 9.066667 5.161211 \n", "\n", - " spike_sem phase units contrast \\\n", - "unit_id \n", - "951799336 2.398015 [42471.86666667, 42471.86666667] deg 0.8 \n", - "951800977 0.733333 [42471.86666667, 42471.86666667] deg 0.8 \n", - "951801127 2.511813 [42471.86666667, 42471.86666667] deg 0.8 \n", - "951801187 1.523988 [42471.86666667, 42471.86666667] deg 0.8 \n", - "951801462 1.332619 [42471.86666667, 42471.86666667] deg 0.8 \n", + " spike_sem mask contrast opacity spatial_frequency \\\n", + "unit_id \n", + "951799336 2.398015 None 0.8 True 0.04 \n", + "951800977 0.733333 None 0.8 True 0.04 \n", + "951801127 2.511813 None 0.8 True 0.04 \n", + "951801187 1.523988 None 0.8 True 0.04 \n", + "951801462 1.332619 None 0.8 True 0.04 \n", "\n", - " y_position color mask stimulus_name temporal_frequency \\\n", - "unit_id \n", - "951799336 null null None drifting_gratings 4.0 \n", - "951800977 null null None drifting_gratings 1.0 \n", - "951801127 null null None drifting_gratings 1.0 \n", - "951801187 null null None drifting_gratings 4.0 \n", - "951801462 null null None drifting_gratings 2.0 \n", + " stimulus_name x_position y_position size units \\\n", + "unit_id \n", + "951799336 drifting_gratings null null [250.0, 250.0] deg \n", + "951800977 drifting_gratings null null [250.0, 250.0] deg \n", + "951801127 drifting_gratings null null [250.0, 250.0] deg \n", + "951801187 drifting_gratings null null [250.0, 250.0] deg \n", + "951801462 drifting_gratings null null [250.0, 250.0] deg \n", "\n", - " opacity size orientation spatial_frequency frame \\\n", - "unit_id \n", - "951799336 True [250.0, 250.0] 0.0 0.04 null \n", - "951800977 True [250.0, 250.0] 45.0 0.04 null \n", - "951801127 True [250.0, 250.0] 90.0 0.04 null \n", - "951801187 True [250.0, 250.0] 270.0 0.04 null \n", - "951801462 True [250.0, 250.0] 45.0 0.04 null \n", + " color orientation phase \\\n", + "unit_id \n", + "951799336 null 0.0 [42471.86666667, 42471.86666667] \n", + "951800977 null 45.0 [42471.86666667, 42471.86666667] \n", + "951801127 null 90.0 [42471.86666667, 42471.86666667] \n", + "951801187 null 270.0 [42471.86666667, 42471.86666667] \n", + "951801462 null 45.0 [42471.86666667, 42471.86666667] \n", "\n", - " x_position color_triplet \n", - "unit_id \n", - "951799336 null [1.0, 1.0, 1.0] \n", - "951800977 null [1.0, 1.0, 1.0] \n", - "951801127 null [1.0, 1.0, 1.0] \n", - "951801187 null [1.0, 1.0, 1.0] \n", - "951801462 null [1.0, 1.0, 1.0] " + " temporal_frequency frame color_triplet \n", + "unit_id \n", + "951799336 4.0 null [1.0, 1.0, 1.0] \n", + "951800977 1.0 null [1.0, 1.0, 1.0] \n", + "951801127 1.0 null [1.0, 1.0, 1.0] \n", + "951801187 4.0 null [1.0, 1.0, 1.0] \n", + "951801462 2.0 null [1.0, 1.0, 1.0] " ] }, "execution_count": 25, @@ -4253,10 +4245,10 @@ "id": "7effe272", "metadata": { "papermill": { - "duration": 0.069952, - "end_time": "2023-09-27T21:50:33.129939", + "duration": 0.055613, + "end_time": "2023-11-06T20:55:27.588488", "exception": false, - "start_time": "2023-09-27T21:50:33.059987", + "start_time": "2023-11-06T20:55:27.532875", "status": "completed" }, "tags": [] @@ -4273,16 +4265,16 @@ "id": "6791a12f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:50:33.263676Z", - "iopub.status.busy": "2023-09-27T21:50:33.261763Z", - "iopub.status.idle": "2023-09-27T21:50:35.711747Z", - "shell.execute_reply": "2023-09-27T21:50:35.710586Z" + "iopub.execute_input": "2023-11-06T20:55:27.702655Z", + "iopub.status.busy": "2023-11-06T20:55:27.702107Z", + "iopub.status.idle": "2023-11-06T20:55:28.688695Z", + "shell.execute_reply": "2023-11-06T20:55:28.687999Z" }, "papermill": { - "duration": 2.516698, - "end_time": "2023-09-27T21:50:35.714426", + "duration": 1.045227, + "end_time": "2023-11-06T20:55:28.690187", "exception": false, - "start_time": "2023-09-27T21:50:33.197728", + "start_time": "2023-11-06T20:55:27.644960", "status": "completed" }, "tags": [] @@ -4701,7 +4693,7 @@ "Coordinates:\n", " * stimulus_presentation_id (stimulus_presentation_id) int64 3647 .....\n", " * time_relative_to_stimulus_onset (time_relative_to_stimulus_onset) float64 ...\n", - " * unit_id (unit_id) int64 951814884 ... 951814312
    • " ], "text/plain": [ "
    • " ], "text/plain": [ "\n", "\n", "
    \n", - " \n", + " \n", "
    \n", - " \n", + " oninput=\"animac07d9c5629c4824bda08a9339225a44.set_frame(parseInt(this.value));\">\n", "
    \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", "
    \n", - "
    \n", - " \n", - " \n", - " Once\n", + " \n", - " \n", - " Loop\n", + " \n", - " \n", + " \n", "
    \n", "
    \n", "
    \n", @@ -6689,9 +6681,9 @@ " /* Instantiate the Animation class. */\n", " /* The IDs given should match those used in the template above. */\n", " (function() {\n", - " var img_id = \"_anim_img876c5bb64b8c4f35a43063a01ed3482b\";\n", - " var slider_id = \"_anim_slider876c5bb64b8c4f35a43063a01ed3482b\";\n", - " var loop_select_id = \"_anim_loop_select876c5bb64b8c4f35a43063a01ed3482b\";\n", + " var img_id = \"_anim_imgac07d9c5629c4824bda08a9339225a44\";\n", + " var slider_id = \"_anim_sliderac07d9c5629c4824bda08a9339225a44\";\n", + " var loop_select_id = \"_anim_loop_selectac07d9c5629c4824bda08a9339225a44\";\n", " var frames = new Array(500);\n", " \n", " frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n", @@ -150088,7 +150080,7 @@ " /* set a timeout to make sure all the above elements are created before\n", " the object is initialized. */\n", " setTimeout(function() {\n", - " anim876c5bb64b8c4f35a43063a01ed3482b = new Animation(frames, img_id, slider_id, 33.0,\n", + " animac07d9c5629c4824bda08a9339225a44 = new Animation(frames, img_id, slider_id, 33.0,\n", " loop_select_id);\n", " }, 0);\n", " })()\n", @@ -150114,10 +150106,10 @@ "id": "4955d182", "metadata": { "papermill": { - "duration": 0.395835, - "end_time": "2023-09-27T21:52:02.128649", + "duration": 0.244559, + "end_time": "2023-11-06T20:56:05.862358", "exception": false, - "start_time": "2023-09-27T21:52:01.732814", + "start_time": "2023-11-06T20:56:05.617799", "status": "completed" }, "tags": [] @@ -150132,16 +150124,16 @@ "id": "a2f8ad04", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:02.903433Z", - "iopub.status.busy": "2023-09-27T21:52:02.903004Z", - "iopub.status.idle": "2023-09-27T21:52:04.690733Z", - "shell.execute_reply": "2023-09-27T21:52:04.689703Z" + "iopub.execute_input": "2023-11-06T20:56:06.356040Z", + "iopub.status.busy": "2023-11-06T20:56:06.355518Z", + "iopub.status.idle": "2023-11-06T20:56:07.297161Z", + "shell.execute_reply": "2023-11-06T20:56:07.296383Z" }, "papermill": { - "duration": 2.152321, - "end_time": "2023-09-27T21:52:04.693174", + "duration": 1.189725, + "end_time": "2023-11-06T20:56:07.298648", "exception": false, - "start_time": "2023-09-27T21:52:02.540853", + "start_time": "2023-11-06T20:56:06.108923", "status": "completed" }, "tags": [] @@ -150366,16 +150358,16 @@ "id": "7ba5a498", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:05.447002Z", - "iopub.status.busy": "2023-09-27T21:52:05.446079Z", - "iopub.status.idle": "2023-09-27T21:52:06.488451Z", - "shell.execute_reply": "2023-09-27T21:52:06.487334Z" + "iopub.execute_input": "2023-11-06T20:56:07.815066Z", + "iopub.status.busy": "2023-11-06T20:56:07.814682Z", + "iopub.status.idle": "2023-11-06T20:56:08.330314Z", + "shell.execute_reply": "2023-11-06T20:56:08.329578Z" }, "papermill": { - "duration": 1.40211, - "end_time": "2023-09-27T21:52:06.490838", + "duration": 0.765411, + "end_time": "2023-11-06T20:56:08.331797", "exception": false, - "start_time": "2023-09-27T21:52:05.088728", + "start_time": "2023-11-06T20:56:07.566386", "status": "completed" }, "tags": [] @@ -150402,10 +150394,10 @@ "id": "dd0d0f5d", "metadata": { "papermill": { - "duration": 0.371026, - "end_time": "2023-09-27T21:52:07.234649", + "duration": 0.245829, + "end_time": "2023-11-06T20:56:08.844482", "exception": false, - "start_time": "2023-09-27T21:52:06.863623", + "start_time": "2023-11-06T20:56:08.598653", "status": "completed" }, "tags": [] @@ -150422,16 +150414,16 @@ "id": "e972efc6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:08.002936Z", - "iopub.status.busy": "2023-09-27T21:52:08.002533Z", - "iopub.status.idle": "2023-09-27T21:52:08.022459Z", - "shell.execute_reply": "2023-09-27T21:52:08.021424Z" + "iopub.execute_input": "2023-11-06T20:56:09.340944Z", + "iopub.status.busy": "2023-11-06T20:56:09.340474Z", + "iopub.status.idle": "2023-11-06T20:56:09.349446Z", + "shell.execute_reply": "2023-11-06T20:56:09.348739Z" }, "papermill": { - "duration": 0.403441, - "end_time": "2023-09-27T21:52:08.024708", + "duration": 0.258741, + "end_time": "2023-11-06T20:56:09.350917", "exception": false, - "start_time": "2023-09-27T21:52:07.621267", + "start_time": "2023-11-06T20:56:09.092176", "status": "completed" }, "tags": [] @@ -150552,16 +150544,16 @@ "id": "6a9af9c4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:08.826028Z", - "iopub.status.busy": "2023-09-27T21:52:08.824931Z", - "iopub.status.idle": "2023-09-27T21:52:08.830915Z", - "shell.execute_reply": "2023-09-27T21:52:08.829907Z" + "iopub.execute_input": "2023-11-06T20:56:09.865898Z", + "iopub.status.busy": "2023-11-06T20:56:09.865321Z", + "iopub.status.idle": "2023-11-06T20:56:09.869289Z", + "shell.execute_reply": "2023-11-06T20:56:09.868585Z" }, "papermill": { - "duration": 0.395963, - "end_time": "2023-09-27T21:52:08.833229", + "duration": 0.252419, + "end_time": "2023-11-06T20:56:09.870716", "exception": false, - "start_time": "2023-09-27T21:52:08.437266", + "start_time": "2023-11-06T20:56:09.618297", "status": "completed" }, "scrolled": false, @@ -150583,10 +150575,10 @@ "id": "bbc37d2a", "metadata": { "papermill": { - "duration": 0.371189, - "end_time": "2023-09-27T21:52:09.558594", + "duration": 0.245825, + "end_time": "2023-11-06T20:56:10.364743", "exception": false, - "start_time": "2023-09-27T21:52:09.187405", + "start_time": "2023-11-06T20:56:10.118918", "status": "completed" }, "tags": [] @@ -150601,16 +150593,16 @@ "id": "61a89971", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:10.328799Z", - "iopub.status.busy": "2023-09-27T21:52:10.328373Z", - "iopub.status.idle": "2023-09-27T21:52:10.351791Z", - "shell.execute_reply": "2023-09-27T21:52:10.350715Z" + "iopub.execute_input": "2023-11-06T20:56:10.878244Z", + "iopub.status.busy": "2023-11-06T20:56:10.877640Z", + "iopub.status.idle": "2023-11-06T20:56:10.884240Z", + "shell.execute_reply": "2023-11-06T20:56:10.883557Z" }, "papermill": { - "duration": 0.421678, - "end_time": "2023-09-27T21:52:10.353935", + "duration": 0.254491, + "end_time": "2023-11-06T20:56:10.885683", "exception": false, - "start_time": "2023-09-27T21:52:09.932257", + "start_time": "2023-11-06T20:56:10.631192", "status": "completed" }, "tags": [] @@ -150648,16 +150640,16 @@ "id": "cac48fda", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:11.137386Z", - "iopub.status.busy": "2023-09-27T21:52:11.136912Z", - "iopub.status.idle": "2023-09-27T21:52:11.194574Z", - "shell.execute_reply": "2023-09-27T21:52:11.193534Z" + "iopub.execute_input": "2023-11-06T20:56:11.376933Z", + "iopub.status.busy": "2023-11-06T20:56:11.376318Z", + "iopub.status.idle": "2023-11-06T20:56:11.399652Z", + "shell.execute_reply": "2023-11-06T20:56:11.398986Z" }, "papermill": { - "duration": 0.45417, - "end_time": "2023-09-27T21:52:11.196898", + "duration": 0.269968, + "end_time": "2023-11-06T20:56:11.401452", "exception": false, - "start_time": "2023-09-27T21:52:10.742728", + "start_time": "2023-11-06T20:56:11.131484", "status": "completed" }, "tags": [] @@ -150707,10 +150699,10 @@ "id": "b1f5fd6d", "metadata": { "papermill": { - "duration": 0.354125, - "end_time": "2023-09-27T21:52:11.935017", + "duration": 0.246061, + "end_time": "2023-11-06T20:56:11.912409", "exception": false, - "start_time": "2023-09-27T21:52:11.580892", + "start_time": "2023-11-06T20:56:11.666348", "status": "completed" }, "tags": [] @@ -150727,19 +150719,19 @@ "id": "64903ea4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:12.643639Z", - "iopub.status.busy": "2023-09-27T21:52:12.643161Z", - "iopub.status.idle": "2023-09-27T21:52:12.648304Z", - "shell.execute_reply": "2023-09-27T21:52:12.647275Z" + "iopub.execute_input": "2023-11-06T20:56:12.407945Z", + "iopub.status.busy": "2023-11-06T20:56:12.407675Z", + "iopub.status.idle": "2023-11-06T20:56:12.411059Z", + "shell.execute_reply": "2023-11-06T20:56:12.410461Z" }, "local_metadata": { "scrolled": false }, "papermill": { - "duration": 0.365079, - "end_time": "2023-09-27T21:52:12.650436", + "duration": 0.251802, + "end_time": "2023-11-06T20:56:12.412390", "exception": false, - "start_time": "2023-09-27T21:52:12.285357", + "start_time": "2023-11-06T20:56:12.160588", "status": "completed" }, "remote_metadata": {}, @@ -150759,16 +150751,16 @@ "id": "dbbec1ca", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:13.415052Z", - "iopub.status.busy": "2023-09-27T21:52:13.414620Z", - "iopub.status.idle": "2023-09-27T21:52:13.480175Z", - "shell.execute_reply": "2023-09-27T21:52:13.479083Z" + "iopub.execute_input": "2023-11-06T20:56:12.907084Z", + "iopub.status.busy": "2023-11-06T20:56:12.906421Z", + "iopub.status.idle": "2023-11-06T20:56:12.940602Z", + "shell.execute_reply": "2023-11-06T20:56:12.939935Z" }, "papermill": { - "duration": 0.438845, - "end_time": "2023-09-27T21:52:13.483716", + "duration": 0.284634, + "end_time": "2023-11-06T20:56:12.942934", "exception": false, - "start_time": "2023-09-27T21:52:13.044871", + "start_time": "2023-11-06T20:56:12.658300", "status": "completed" }, "tags": [] @@ -150809,10 +150801,10 @@ "id": "018a578a", "metadata": { "papermill": { - "duration": 0.385102, - "end_time": "2023-09-27T21:52:14.267289", + "duration": 0.250023, + "end_time": "2023-11-06T20:56:13.446671", "exception": false, - "start_time": "2023-09-27T21:52:13.882187", + "start_time": "2023-11-06T20:56:13.196648", "status": "completed" }, "tags": [] @@ -150925,18 +150917,18 @@ }, "papermill": { "default_parameters": {}, - "duration": 423.994928, - "end_time": "2023-09-27T21:52:17.083764", + "duration": 377.013759, + "end_time": "2023-11-06T20:56:14.531608", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/ecephys_session.ipynb", - "output_path": "/tmp/tmp4v8hb42u/scratch_nb.ipynb", + "output_path": "/tmp/tmpxui94ka7/scratch_nb.ipynb", "parameters": { "DOWNLOAD_LFP": false, - "output_dir": "/tmp/tmp4v8hb42u", + "output_dir": "/tmp/tmpxui94ka7", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T21:45:13.088836", + "start_time": "2023-11-06T20:49:57.517849", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/image_download.ipynb b/doc_template/examples_root/examples/nb/image_download.ipynb index 5594cc87b..af0bb9b30 100644 --- a/doc_template/examples_root/examples/nb/image_download.ipynb +++ b/doc_template/examples_root/examples/nb/image_download.ipynb @@ -5,10 +5,10 @@ "id": "2456f682", "metadata": { "papermill": { - "duration": 0.011763, - "end_time": "2023-09-27T21:43:07.926585", + "duration": 0.007084, + "end_time": "2023-11-06T20:56:17.190547", "exception": false, - "start_time": "2023-09-27T21:43:07.914822", + "start_time": "2023-11-06T20:56:17.183463", "status": "completed" }, "tags": [] @@ -22,10 +22,10 @@ "id": "aa152753", "metadata": { "papermill": { - "duration": 0.01017, - "end_time": "2023-09-27T21:43:07.948031", + "duration": 0.006187, + "end_time": "2023-11-06T20:56:17.202969", "exception": false, - "start_time": "2023-09-27T21:43:07.937861", + "start_time": "2023-11-06T20:56:17.196782", "status": "completed" }, "tags": [] @@ -55,16 +55,16 @@ "id": "feb9508f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:07.969759Z", - "iopub.status.busy": "2023-09-27T21:43:07.968832Z", - "iopub.status.idle": "2023-09-27T21:43:11.097433Z", - "shell.execute_reply": "2023-09-27T21:43:11.096161Z" + "iopub.execute_input": "2023-11-06T20:56:17.216908Z", + "iopub.status.busy": "2023-11-06T20:56:17.216434Z", + "iopub.status.idle": "2023-11-06T20:56:19.144337Z", + "shell.execute_reply": "2023-11-06T20:56:19.143658Z" }, "papermill": { - "duration": 3.143855, - "end_time": "2023-09-27T21:43:11.100532", + "duration": 1.936962, + "end_time": "2023-11-06T20:56:19.146247", "exception": false, - "start_time": "2023-09-27T21:43:07.956677", + "start_time": "2023-11-06T20:56:17.209285", "status": "completed" }, "tags": [] @@ -93,10 +93,10 @@ "id": "33e64839", "metadata": { "papermill": { - "duration": 0.013301, - "end_time": "2023-09-27T21:43:11.125611", + "duration": 0.007335, + "end_time": "2023-11-06T20:56:19.160109", "exception": false, - "start_time": "2023-09-27T21:43:11.112310", + "start_time": "2023-11-06T20:56:19.152774", "status": "completed" }, "tags": [] @@ -111,16 +111,16 @@ "id": "8c6564d3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:11.150297Z", - "iopub.status.busy": "2023-09-27T21:43:11.149158Z", - "iopub.status.idle": "2023-09-27T21:43:11.157231Z", - "shell.execute_reply": "2023-09-27T21:43:11.156274Z" + "iopub.execute_input": "2023-11-06T20:56:19.174664Z", + "iopub.status.busy": "2023-11-06T20:56:19.173920Z", + "iopub.status.idle": "2023-11-06T20:56:19.179218Z", + "shell.execute_reply": "2023-11-06T20:56:19.178486Z" }, "papermill": { - "duration": 0.023106, - "end_time": "2023-09-27T21:43:11.159372", + "duration": 0.014343, + "end_time": "2023-11-06T20:56:19.180674", "exception": false, - "start_time": "2023-09-27T21:43:11.136266", + "start_time": "2023-11-06T20:56:19.166331", "status": "completed" }, "tags": [] @@ -152,10 +152,10 @@ "id": "0ce82812", "metadata": { "papermill": { - "duration": 0.009821, - "end_time": "2023-09-27T21:43:11.179032", + "duration": 0.006136, + "end_time": "2023-11-06T20:56:19.193179", "exception": false, - "start_time": "2023-09-27T21:43:11.169211", + "start_time": "2023-11-06T20:56:19.187043", "status": "completed" }, "tags": [] @@ -170,16 +170,16 @@ "id": "9e1dd281", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:11.206138Z", - "iopub.status.busy": "2023-09-27T21:43:11.204625Z", - "iopub.status.idle": "2023-09-27T21:43:11.210041Z", - "shell.execute_reply": "2023-09-27T21:43:11.209127Z" + "iopub.execute_input": "2023-11-06T20:56:19.207151Z", + "iopub.status.busy": "2023-11-06T20:56:19.206610Z", + "iopub.status.idle": "2023-11-06T20:56:19.210406Z", + "shell.execute_reply": "2023-11-06T20:56:19.209688Z" }, "papermill": { - "duration": 0.023144, - "end_time": "2023-09-27T21:43:11.212552", + "duration": 0.012701, + "end_time": "2023-11-06T20:56:19.211904", "exception": false, - "start_time": "2023-09-27T21:43:11.189408", + "start_time": "2023-11-06T20:56:19.199203", "status": "completed" }, "tags": [] @@ -195,10 +195,10 @@ "id": "7319ea7e", "metadata": { "papermill": { - "duration": 0.010418, - "end_time": "2023-09-27T21:43:11.234275", + "duration": 0.006462, + "end_time": "2023-11-06T20:56:19.224855", "exception": false, - "start_time": "2023-09-27T21:43:11.223857", + "start_time": "2023-11-06T20:56:19.218393", "status": "completed" }, "tags": [] @@ -217,16 +217,16 @@ "id": "352963a8", "metadata": { "execution": { - 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allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/section_image_download/70945123?downsample=3\n" + "2023-11-06 20:56:19,340 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/section_image_download/70945123?downsample=3\n" ] }, { @@ -373,10 +373,10 @@ "id": "8c0ab6d3", "metadata": { "papermill": { - "duration": 0.022031, - "end_time": "2023-09-27T21:43:12.841139", + "duration": 0.0169, + "end_time": "2023-11-06T20:56:20.420301", "exception": false, - "start_time": "2023-09-27T21:43:12.819108", + "start_time": "2023-11-06T20:56:20.403401", "status": "completed" }, "tags": [] @@ -393,16 +393,16 @@ "id": "4d44fef1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:12.891527Z", - "iopub.status.busy": "2023-09-27T21:43:12.890444Z", - "iopub.status.idle": "2023-09-27T21:43:12.895848Z", - "shell.execute_reply": "2023-09-27T21:43:12.895033Z" + "iopub.execute_input": 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http://api.brain-map.org/api/v2/projection_image_download/297225716?downsample=3&range=0,825,0,943,0,4095\n" + "2023-11-06 20:56:20,710 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/projection_image_download/297225716?downsample=3&range=0,825,0,943,0,4095\n" ] }, { @@ -523,10 +523,10 @@ "id": "518a2d76", "metadata": { "papermill": { - "duration": 0.036163, - "end_time": "2023-09-27T21:43:19.183044", + "duration": 0.026103, + "end_time": "2023-11-06T20:56:25.234061", "exception": false, - "start_time": "2023-09-27T21:43:19.146881", + "start_time": "2023-11-06T20:56:25.207958", "status": "completed" }, "tags": [] @@ -541,16 +541,16 @@ "id": "6ae7f50c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:19.262350Z", - "iopub.status.busy": "2023-09-27T21:43:19.261277Z", - "iopub.status.idle": "2023-09-27T21:43:23.858103Z", - "shell.execute_reply": "2023-09-27T21:43:23.854972Z" + "iopub.execute_input": 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"2023-09-27T21:43:24.249406", + "start_time": "2023-11-06T20:56:28.784684", "status": "completed" }, "tags": [] @@ -701,7 +701,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2023-09-27 21:43:24,294 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/atlas_image_download/112282603?downsample=6&annotation=false\n" + "2023-11-06 20:56:28,816 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/atlas_image_download/112282603?downsample=6&annotation=false\n" ] }, { @@ -726,10 +726,10 @@ "id": "61073cbf", "metadata": { "papermill": { - "duration": 0.080341, - "end_time": "2023-09-27T21:43:26.543814", + "duration": 0.054974, + "end_time": "2023-11-06T20:56:30.387394", "exception": false, - "start_time": "2023-09-27T21:43:26.463473", + "start_time": "2023-11-06T20:56:30.332420", "status": "completed" }, "tags": [] @@ -744,16 +744,16 @@ "id": "162226fa", "metadata": { "execution": { - 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"2023-11-06 20:56:30,499 allensdk.api.api.retrieve_file_over_http INFO Downloading URL: http://api.brain-map.org/api/v2/atlas_image_download/112282603?downsample=6&annotation=true\n" ] }, { @@ -792,10 +792,10 @@ "id": "211fe38d", "metadata": { "papermill": { - "duration": 0.121753, - "end_time": "2023-09-27T21:43:28.569673", + "duration": 0.071149, + "end_time": "2023-11-06T20:56:32.506947", "exception": false, - "start_time": "2023-09-27T21:43:28.447920", + "start_time": "2023-11-06T20:56:32.435798", "status": "completed" }, "tags": [] @@ -812,16 +812,16 @@ "id": "5ce37916", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:43:28.836871Z", - "iopub.status.busy": "2023-09-27T21:43:28.836409Z", - "iopub.status.idle": "2023-09-27T21:43:32.847657Z", - "shell.execute_reply": "2023-09-27T21:43:32.846475Z" + "iopub.execute_input": "2023-11-06T20:56:32.651455Z", + "iopub.status.busy": "2023-11-06T20:56:32.650961Z", + "iopub.status.idle": "2023-11-06T20:56:36.987267Z", + 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tBmF5dgYp5npeNy7j9eV3wBTBKmNn6h3KgJtqz0PE5KHfldquGtps2tjnl8vq99gchwjiQ4Ts1PnHZb0O4Tw1/uxLiluOL5lgzecbh9caX8f4OqdI1JLIzWWOj983Xo/J133XlLd7729cXyb6Dzlfx2TzuF7lfrc5st9o7LFxJ+Mkj5/XsX+kvHZJ78TgIBJEtg4WkW3+DKXAoDCR10VpgyKAxHASoXcxnAORoNWmQtkapKOqm5igrl/RddcgYGyNqY9RVKAMJLJ2CDeX85GkigoBpQJKPOJ7gotqZdf7aMcZC0pwrosrIoxBQuDy+gKtwNYNi+Upy2aBMlUknV2HBA9GoTCEIGyur2g3axZHx1R1DdpS1Q1RXVy8H7DNI5GdZxOP1D4HxXj7IYydMZ+3r7wLXsdRt+98r+vo+yLnvgtmcnjGjBkzZsx4UzHiTr+Ikf55POhjBUtZrcHMlkj2SopDFkJAEYbJSmXreIQCrTSibE5pkRCibTuU/8Wur7zGnHDPGH1jYnSbUVUqkkQE59wwmf48dfqiGOp6S5H7npFy4grb68vLUUs45278tm/ivO8ax/UYq5/GdSpVUWoqhspwvjdfuTRjxowvNzpx1I1FLevkEVMoSeEHvkD/k7vx2yb0U87QQ6Ts1LElbuszm6bZ+T4QK0w7aKfIxdchicfbxkTulLO3JPiyfVF+Hytbx/Us98kE65hIOuREHjuM911DSTxP/Z7Lz6RiTkY2db1TdZhakj9Foo2J+HFZGVP5DUoifVyfNx1TpNk+4v3GsysceL+FMqawDw4f3M5zoTUYa0BpVFBI6Am+RYvG9R3e9Yjz4B3iHIQ+qoyrJebolO7yOUf33kHZhm61Jrg2qfodre+w1QJbnaKUTlXd5oYgVV17R/AtPrRI8EiINjbBIEFjmyWYCu87mqOaIELfOeqjI945eQAEutUl7fUFq+ePERHs4ojm6BgRhVIavVhimwVHTcMyEb5aCe1mhUhFDH9R3o+YAyPLRkrhSPnc7es39tme+wjTm8dE8n6vk2AP7mLr3nbc1LZ9/Xr5/S4E+V3J8tep+0wOz5gxY8aMGW8oxsqd1yXF8gTEOUdVVXvLumGsJKXmlOEhIijx6GQUe+/w3g3kcDYAc5m960GScW5sVCzk7QpExTACsTpmMODK840njjuyrbz/YNsngwqiKrWyyRicvpapSeWYFB9IyztOeL8I7nqPD50/T3ynjODSUNynsCgn0Pm6X1dxMbV/VgmX58zfdybOO8dPq5BnzJgx45eFtfJ8+I2vQV0RFCjZrsbYjjB3x+ft18cK0TER+IvoC6fIVxU9tsOwOUXUjOs3NZbcVtfx9U2pWzPyeL2vHofqt4/8PVS3fde8D+X4OQ77MCaVy+uYIpXHtkZJeO4bd/ddw5RjfFz2uC7je/plGnMVJDXt7nszhRtEciHIuEHapf+DBLx3BBGMsRgTV8WJyqIJwYdA0BYJnvbqJcoLvm/B9zH2sPd470A8BCHoa+rQ023WVMsWFRTXV6+odcB3GuQEsxBc24E2GHM0ELBKJXlGCEjf0nfXxFjA8f0N3iMIXjrqxTHt6hX9+hrXdRidkt4pg7r/Dn3f054/Y/38U/rVJf36Cgk9znu0sRhbUzdHBFvRnD3g6MG7LE/uoaqGanHCcnlKQFIYCx2jE6uADHISGTdobPLy5yzOltjxZjL+Tvd+77xlu/02jJ0kZdm/bOzWfSuv/jzv4L6+7jbM5PCMGTNmzJjxJcVtg3+e7I2J4cljB9I1LU+TuGxNiURlAx7nHM71cTlc326X0GVVBoLRBh/CYNfE5WpCFEv0aGNieUpQWqO0GQjdoCxGpxADuY5DtRRKm23dxedAFeSVfoJKddEQhMVikfbI0XL1cIwQzx+N45tG4HhSNFbr5HrcNqF9nXs2nrzdRr7uq09W/R4iEkp11rgumSAoCfF917jv+3h/rTXW2hvnKPcflssqNUzE8v+lo+TLNFGdMWPGlw/SGB7+2vv0Jjoutz3XNrzOXow2fpH+6nVVYnctK2Pcd+c+GDJPdpNELfv228qcOn9Jhub9S6XqPpTbyiS65baSQM7jYBlKYpzkbjxOTalOb7u28pzluLrv2LvYCuPteSwexxW+DWNyuHQYTzne80qi3GZTxPqbjkGkkOyIUOayuMM17NhhIjdC/IrEmMJam2jDqhivV0TwweNdj3c9aIO0a/zVBcH1uHZD320ghX2IoX89WmlQlm5ziQrClcBbX/s2i9N7XD19xFEdVcQLtcBWFt9tMMujoa6SE3u4Drc6R1SIdjbEkBJtFx1ctqK9vKC9vkT7HtEKjyDeozWsPr2gXa/or17StpvYDtZglKFWW7uZ0NFdnHP9/FOe/fBP0Npijs5479u/y8Nf+yaiLVrbREqDUjFUmKgwhORJtRv+z3lVJDmkBmX06J68zr075Egpceh9z9tvO+e+etylnH32vnN+x2bed659+LzjzkwOz5gxY8aMGV9S7DOYxmqesTon/z4qDKUyxSqE4BDvcH2L73uCBERCMoY1IRnDQE56jAgE8QQfl7EppXBB0EYPigyRtMQNQYJDgkPpCjBoq7fE5o5pqJIQJNdZUNrguo4QHJpINqMMxtrBsESEkMhtpW005pXJlmgueme+MNVW5bbx530TtX33wHs/TNLGoRvKe7Pv3IcmarfVqcTUJHhc5j4SuPw8Pte4noeuaby9JKPHE+ipc8yYMWPGLwNhucDeOyMoVYwRkRwZRZO9sSZlX6zerZgxq+FulhK7ti2RJdsdCsIjqyPJErvt9vyzbMtV2x0ZButU07IOJXm608dKdtSq7aqgVG4mFMf9d6z+tg8vQxRMjbHj8eRm26mdsSbXtSxnTHROfS+J6TE5epexdQq5PrcRN9vYtDfti3F9x8riu9gE5f5T7Tk1Zu9z+JZtcVeS7U1DVqDmqpfrx16HYB/2yO+BgBJFcB1KGXzvcV0L4vB9jMsbXIfrWvrNhvb6EqNksEltXaGURWlF8A6RQHAO1XqC67lq1wRT8dYHv8bl86exPNXTd5pF1cQ4w0WvM7zd+f0XhUbhncd3Ha7vEGNRytNdXaCCR7zDu+SMD44+CN55XLui71uUOKp6wfL0HrZuUEoP778Ez3G7wW3WrDdrVleXrF495k+/85x3XzzmvW/+FsvTt9Da4LsO79bUy9No+7uWvmtR9VGy03ffORUDNBM1Hyp3bfvv8chGLH/P9/l18UXty7Hdf1uZ++ZmX4QY/iKYyeEZM2bMmDHjjcWusXNXo2XKOBlvu+lZj+EikEDfbmg3K4LvwHuMArQFFOI97sZkKAwTWeckZUBOE0FtEClDHASSsAOUQlcV2jQoHWMTh2F6W0yxJU1FVUFqorF1gwQNweHbFUJHcAq03jEolSiCikoOZSzaWBQ6TdH1QQMz/wsh7CiwxxPJqQnacP7CQDTG4Jzbu8/U8fsmcLcptKZ+H5cxxiEydx/he9t++7DvHGV7HSKUZ8yYMeOXgfobX0ffu5fYpfibIlGr4+5norudVpPlneMYp4pVOqisJlQoUTjnBwdr7hO99wgarTTaaEIQlFYDWZR8ruTuMaSiJRHCogRU2IbFECEEQWs71Hnc50relejY1VoTJAxbtbq5uiRjTHICO4rUcr9y/31jUDnWlsRw/m2KHBo7QacSr+b9ysR0+fsUeTw+vrQTphzIU8eX5xqvohlfQ/l9X+zc8XnGJHpZnyn7cDxml4n9ptr3ywBJpqTSOr8IE/uMVmtRqFWJa81iQdFoVRKTvEFAi6O/uorhIoIn9Buci6EhgusJ3uFCVH9apbFVja4s2taIZEo30PUtqmtBOQIeEzxXTz/h9OG7PHjvQ66efoIWjwse5wNS5z4kSyjSZ22hPobuGkK8X13vcWgWyxPWVxeolKgOrdBBIfj4XgPgabs1brNBa0WzPMLWR+jmCGUUWpvUDgHdHFMdeSrfszy74vrVOZvVmhc/+R4Ez+l73+CdD38dYzTrqxVNveD64hXd5RO6q5ecfvAtquYohsLwDgmBvmvp+p7jew/QymBthSiNtlUUkEw+frl/3PZ7+S7us0+nngG4+e5Mbb+tnEM2+b5tN+did8MhUnx87tcpeyaHZ8yYMWPGjDcWX4AEE9kauelzmhJMlBsNvuB7uvU1fbtOE0pJhGw04IYQDgG8mK1xEnw0UIdzRlWR0SaGDUux0YzWBPGAwtoKY2vEVkjU/sbyClWvyponBWTaOJ0zlxNVxwq0Ad/HeoSkPsjlSKyfeEHE40OP0XXMwjylyMlhJ4qJktZ6aLp96qabt+BmmIg8Yds53y2k7y+KID1kuE6FedhXn6nyxpPkQxPePCkuk+Hlc+4LdbE9x+te9YwZM2a8Hn7jf/A34WSJUwqLGpaWazUeQXO8/C0OjQ2S2FaR5PzMcTWVQitNcC4RwyoRrzF+ad876rrBS8AHT/BqS3ql8/tEEA/xkckVzXRwIrqkIMKU2jueTW3bR+qW/XeOudv3PYvF4kaC032O1X2O1n0Yq33HRPD4fIccsFO/HSKFxsRxOXaN6zFFno9J8HKcPBSWoqzfOAzH1Hnu6lgu61qGFinH8y+bU1axW/+ILZ06qFNLJKJxCHVGQBMIweNdh7g+2coO363x3YZucx0Vw87FdzMEjK2oFksapbEmhlnAaLSNeTVKJ0SlNB6FVy0Gj+t6kJ6nP/seH3zrdzh97+usXj3DE3CA8dEmzx3PcC1KYeqGzm0Q38d4yIsTjs7uo42lb1ukW6EU+PwMSCR9Q1rRtvUGCX27oTl5mGING4yxiIoTgGA8oXLgDNoatKnp3GdUwWFDB66FEFBGo03NenVB8BuOjxa05xv8+hxra8QuCK6l71uEwOX5czavPsMAL58/p8fyW3/1r9EcPwRVpfuTAsWpUNxPhRK9vfHD7dzv3BnjNpL1i2KfLX2Xc+1z4twVr7P/TA7PmDFjxowZXwJMGf6TWXdVMn1lSworYuK4vmvRCkzyyMeZrqAI+K6lX1/ivcdoRQgMKiFBR4J4MGIUkiaB0b5UaGOiYhgwiYrWWqOMAR1jsiGCVjVVsxxiDQuSqpHiGydIPs9g1GwjByulkvI3G1wGYxqc77YTK2Oi8ax0VD0nlllEEBfwqsMEjzINSplkcG7lB7qYQOSZdiiW5O4zNifVVxMTtfJ+jvcr1UR3QQgepV4vFmF5DaVi6y7E9BTGqqh9qqSyPGPMziRpHym9M9lWe577GTNmzPgFwbz3Dp01eBEqlfgGkai+FTURTOImJscHYND6yXasVhJVvbie7vqauqnpnaNZHtFdXdG7nnUIVIsF1aJBYQgOPKDSqh4vYPUu3aWKMS2e1G63pzBScVzyibTSu/0t23GrdNxtHXW7ZEV5TNd1VFU1kMXjcaEsu4xzv4/c3de+UyRsSXKW++VYxfmcU7GC8375c7nPmNwtie995Pa4HcfXW9Z9rFoeX9t4LB2TuFME+W1kcBhsuV0H75hY+2UQZr9UJKI3CuYF0cnGiw96cszEXbfvxDbfgSLn2ugIrsV3G6TrIMUV7taX9O2GvmsxWmG0prIVtq5RtsJWFVrptOrNRp+M1hgVE9INtqbWSP5nNNYYpA+Ybs2Ln/+Ys/e+zsnbH2CsjgIHH1ffITffJZRGVQ0+CNo0HJ+egokr3k4fvs/L1QVatvfbB5AgoEEZS71YYpTCdesYTs53qLDAqnpY3YcKWB2QYNFoelHYuuf4yHLdg1td4DYXBLdB10cs7z2E0KGshdDTnL2HIXB9+ZLTtz+kbzvoWqyteOvB2wQF2lScfPAtguvo2p6gr1kcnUXhRrIDhdRvYgA9OPAUENRuDPGyje6ivj+0fR+m5mivi9vO/UXKvitmcnjGjBkzZsx4gzE2bg4pK7f7AwRcu8H3K4Lv8d4hLsYRFhTNcomxFX3XpzjBUV2rjSEEQQKEtIZWRFBa40PMwG1sits7GNKKIAqVkskpbbaTjXSMsg26qlGqJmRyTwL4nsA2EUW6OLRKauBAtPZUUgMn0luSJZiFxsYu0OJw/QqRHi2BLU09aJBT8ZHsdi6gnB/qqrQh2GZoW50t0BEVcMg4u4txN/V5e+/2L4PbpxpQanep7NRxt6l/DykSbptclt9hv/JpXF5Z5pgUONROM2bMmPHLhFouUUpTAyZ1Z0HF4Wjsmhr39Qf7q2KYG0gokajGcx0//pM/5pOf/oSqsiyXS6ytWK9XvDo/5/nz5zx4522OTk/55je/zfsffBUxhm69Rpmo7IsRndTgePMh6om1UoBGh0SIJdLsRrat0TWVhOnUtR0a587OznDO7R3TpsjIseJ2H9E5JitL0nWKyByrckun5Hifcr+SNC3hvR+2O+e2NkRRtylHayZix0nfyr+Hnp9x+ePP4zY7RLSX58lE+tTxX1ZyOCpjZauwTaQiKVa2qBS/W4p2UTlub4jhyvoW328I7Rrp13TrFV27wfc94LHGUB0dYW2FMgZtKpStUUYPK+22sYoF8Y6gwVgL3iMh4J2glSKktjfaEAgxNMX6isvPPmL58D1O3nofZeO6tuD9KGkggCBBUMGgbE11coooGx1QCkyz4Pidr3P+5KfU9ET1sQZCVDZXYNQR3miUBLx4XN9ilg50SO2lUvuZQYgSE0vbSIxrA96jupb2/BnLh++jbQ2qpjqqIbQs7neE9TXSrXj2sz+BzRqtwXcpv4m2HL/7Ife/+n4MKRECrm9BBwgWELwPeNcS2ku0NdjmFKWrrRI89bNK3XzmX0dA8bmeuV8CpuaBJdF9l+PvipkcnjFjxowZM95gHDI2SoNh+Cse361xmzW+awndGu/6FNfLIzF3M63bpOQPBm1MUjgQFQ2AMRUicVJplI2x0IaJEuhEBBtjolpBa7ROS9SUitmJAVMtMCSVcABPC72PdQlRmbG9Fk3WcPjRtUsySJVSMcGdjstqdQwqR8Cg62OstdGYdw4lglIOUXogkbWyu4aSSm0ShBBAXEsQwRiLtQ1KJcKbTBHfTHbzOobXofvpvef6+prj4+MhvnEue4o8nZpEjyeIUxPGqXqX2d/L52o86c4ov09NRMd12JdlvSx7vH2qznD3tp4xY8aMz4MKTRO2KlxREJQaxpH9SefuMDYMJFVkMFy3QUvgX/zz7/Bf/cP/hH51BQLLoyUhBM7Ozjg5PubxT3/Ko5/+BFNVfPS9P+Vb3/4NFscnfPrpZ5yenfF7f/WvcvLgPn3vCMFgjEYTQxKr9Fnr6DD1xHAVqJxk9mbfOh4f8m87ROHo+vJ++W/u27NyuFTKlmPbmCjNmFLtjse1MZGb95lKWlf+NuXYLH+bUvMOjuOClLHWTtZt/Bzk8yulhvaYWjVTYmrcH7dTeXxWaZf3qLyOsb1Y3rcxqZ3PXd6fLxsiZ7oliLcCBFBJOayyo4Qcvtvjug2Ens3VK6Tf0G+u6btoU6vURmbRYJsFRtfRHjYmPRc6epDSs5lbLd4fEELhQI89SRg+x1Ayxmi8RDGHtjVHZw/jtlx5Xb6LUWfR9x1VZakXNeuN4LzCVmrb1ShYnN0jhPdZv3yCtCtEuW2dg0EZoBJM0+M21xiRSBZKtsGJ+0pAkexucQTvaNsNveswyyOsVmhxMdSbaRBl0AoUlko39LrHmp7VxXMuzy+obABjOV42SNeyevopwXsevP9NzOIIXSl82yKhxVSRfA/thotnH3P+4inv/NpvcvLwfYxOam0VQ+7EEDtbccdt4o1fNl7nvDv9SPHqZadf17Ysl0e/8DreiRwOIfDo0SNOT0+/lB3DjBm/LIgIl5eXfPDBB/My1xkzZvyZYL+qFMR1uO4a362QbkO7usZ3mxgfzbloCBuNUpqgOrStt0ndtCAqxQI2BmUqcqgCpXQKXRAtaaUUpEmOTlmMQwigonEtEidMWhu8d3Rug3c9hqTIEB/r6mKSuBDyEjuVlAxqq/pI6gud1MhaK4LTMdxEVrpoG5e8mQptaoyuEBtwriX4GCNOSQrXYDWKTELH80mynpWKSmcVPOvrC5qjU7Rt0EmVlVUl+ViRMLoHd1foTi2fVUpxcnJyY5kq3Ezks08ZtE8JfEhBVJY/dS1TJMd4/30Tz3LSO6UAy+2Q4w9Pkc75cwgBbXRSwc2YMWPGLwdKijBHihzNNxJKnxdJ3TeEfQoBkYBB+P53/4h/9J/8A1599ikqeIwxvHzxDK01z58+iU5PH0M/GGt5vNrw/NPHMVKEUjx8+DZ+veLXf+e3+fAb3xjyALSbDYtFAwFsVdO7qCS21oIGL2X1blLeY6JzZxyY5L2nyY+xc3BK+Vs6KEvSd4oMze2Rt0829wTpOh4Xp8a8KQfrGHnblLK4JK3HpPIUeTxWO2eCd3y+8TWU+8NWzXwXZeSUPZDrW96H0nH7ZeOA8ruR314k5d7Ifg0SsaqIDpKk3u8vX9B1K6plw/XlM1S7xnVtDBtRN2htqZoaU1UobTCmIgSJK91yO6nt/cixjYdnLymJY13KVWkCSqdiFLhACA7fOzbrFcemAm0QFUlaFVQMCaEULrSgAt73GLukqmt832GtGeInx6ooju+/w+L4Hi8/+TGqvUJLSDF8GezbLNRwzsV2G2xfyeLr9MyGqH7uOxChXjRUTYOxOY5xEYoNABOvwYDpFM39h4TFMe1nP6dZLKiXpyzvL5K9DddPP6Y+OUOC59nHP0HjWZ7eozk+QzVLHr7/DZp773J8/21QBtdvooilWsQbiyrTj0ziNsL47s99UqKrnDybnXKn3uH8+75zD3av1gNBLBITgTZNM1nXfXOCu+JO5PCjR4/42te+9loFz5jx5wkff/wxH3744a+6GjNmzPhzhqz2EQQlGtde49srunaF38RkGd51KKWoaovzHm0M7WqNRaEbIgFsBFs1KFujqzou5UIPSp+4kK3aqi8UQJxIBALiwzCxCD6qgvuhklGhZLRFNws2Vys260sunn/GySIa2CGEOFktiWEFoVB86EQGQ0oQZyq0sWhjY2IL5RHVgtFxeZnSmGqBNjX4Du8dWpu47E6lZHZKI5KW/+XvCl69eoEOLhHcasiUrFL8uBCiET82uW5TeZf7TE3OyqWp+8ob/3YXwy8bl4eMxnKye9fyy0ljmXBoqs5jIqD8nCek423jMpxzkUTW+881Y8aMGV8UQQuoFFJBaUDQUpCnn4snE7QIEOLYlmI3/egH3+Pv/z/+bzz95Ocsmxonnq7rE4GksEro2jiiimik7eLYtNlEZxmKp+2Gi1fP+eTJY/767/8Nvvb1X+Ojn/2Mi4sLfvt3fgdtDM+fPuXk3n0WyyNEYl/K0N/Ha8z1LInfMaFbxuycUt1OHTf+vfycCZBxCIqSZC3jA8NN5+QYU07SqfpOEalTRO4UyrpPXX95DeVYmZXD5ZhXkuE3YztPj51lHfJ92ToR9q8iOoQxgeWHlWTm1mPfJIgksjML4hVoybpbQYiKXgkepTXiHP36ku76HNWvCa7j4uoF4j3Oe5rlcVxNVkf7GGVjeBCdbFYd0gq1gcEr2p2BKRQB8WEQP6ikxtXGQIhCCYnZmTG2wrUt7vIJ1zj02+/TnNxH2QbR0WbqncdWBmMrrF2wXq1AG+rGsFmtCM7F+kKyYRUiBl0tOXv3Q84f/RRxazJrHpLDKuR3Jdc7/y8gKjrOJKTViMHh+jbWHY02NuYpgUhel/dFaXS1QHcremVQ9YL33vmAJ+tL6uUR9ugUW1uUNljRCAHXntNvNhxZaDcb1s+v6V99ilme4c7e5ujtD1BmgdGKrlvTtStMcNh6AcoioobubOoZvoua91A/lx4qQojzH2vvHpjhLu/klPgwCivsner+urhT7U9PTwH4yY9/wtnp6Y7H6pCqZPK39C9P8ARudGDjssvv+27OeH9VTCh3vTK79brtfPsw7nAPlbHPIzDef99AN1XHqfpNeSbK691Xj7vcu7vcl33teuj7vjK3+wxPTIFw47hDXpftvtvJpEoqsbu+VPvu5cXlBd/49V8f3pEZM2bM+LPCtg9UMXFG2NCvLwndNf3mOhopRqOr49h/pUVgXddG40WE4HtcD5YGMRoVDPhk1AGB7bhMNnSDEIID8UN/GFKIiLydFGfYeUdlU+ZyXdFXi1hmVdMcHUG/xoce7wN9mtwEySojElmcx4Q0Qc9LU7WJS2SNxdkabWISEF1VKOOAqJDW2oC1GGuj4Rs8EOurkqIjjzPiPaFvOaorQi/07Tou+bORGNcmqh6MbVA6GcCvOdZnTI2zr2vo7Rv3y/L27XNXe+DQeQ/VoRz3x+T0551kVlWFc+6XYhDPmDFjxgAFogFRQxI6RVL9qf2EwvB75lclum/zlEZCIK5k8awvzvned7/LP/z7f5/rVy+pbYXzkWTCxARXEgI+lWuNJfiAMlFFprTCe5di/MPlxTmrrsW1a9577z2eP39O3/f0VxdcX19zfnnF1771Lf7SX/kr2KoGbVASw0SJJE2geAY/bAj44FHKMMQa3TbPjTj8easQ+/ggAUTiWJt+N8NKoUw+hhiyAxDfx/E9rUZSiXBBKYIPaVn7NNkKcR49tYJlPF5NkS2H5v1TY2lJDOdVL+V5ynAWY3IddsM45N9yvcpQE/vm+zd4j9QOP/3pT+n7nuPjY955552dOozLmLrO8pxjRfKXiRzeYvukDv+r+FvwDlCIi+ENZLNC+ZZ2fUHXtQRR2MUx1cl9KltjTAzVEoj5KXaSPSp2n/989nSurBzOHJhSiaIOQ1INUBprKryQksGlWMT9hrB6yfqloltfUR2doauK5vheDLEGVFVUkR4dn8a1CeIJeHzwaKobLaIQquUJJ299hdWTnxIkxLAz6V20lUV8jbEWH2RYSSFKoaVwHEhMrhc/Q90saBZLbFXFs4gnBTcf2kPZBlMt8FWLcZ6Lq2s8gqlrtE1OCKUJOibP1MBiWSHVgqo9ol3HOY5cvUATuHKO44fvoc8e4FM+Ee039G3ANkcoZWP7q917cwivbatKvP9a384dluXe1Zb9vKT258GdyOFcobPTU85Oz9h9yUYXm/7fl8VVKzXI6OPAsZ+43VG5lJ2giqqdGB8xStq3RCKDl0PFXRmK2FZwu49SA0G9b3K3z+s53n9fdvFDHrvx5Kkc5Mbnmzpuqo5jEnns4Z0iVG+bEI6vYep7boMxyT9Vzj4yWKnd2FHZYIm7K5TaT+hOtUHptbvZrnd/qW6b/H85B8wZM2Z8GbCPRNz25YAI69UF3eYScT1BwFQ11lagK7SOxwTfUyM4pZA+xtr1rs8zQbR3iIuZz/MET4IMRu3W+BUEP/StGvAuGogheGwykMR5eqOTEbxm3T2Pk7xmydGiYX3xAqPjJDc4T0i2tpNowgXZVQwpHeOIaWNSjDeLoDBVNDa1rVDWYqoKW9VoXaFMBSGqgmPyDBPVxAje9YNCOnhP323w3QpCwBqNF0+3vopLB22MKVfVi3gjDGDqG+P2eLz4IuPDoePvMpkd12vKyXyXcqbKLQnffXbLIXtgfJ7bkMuLau45jNOMGTN+eYjOSL0lfRLHtC+qxG4/FxD0zs4SQgxxhEAIfPzjH/Ff/n/+U/70j79Lu1rRVE10ZEIkN3LfamLMe9GCcw6rDCfHx4QQ6PsepWIC2bbtMdqg+p5Xn31Gd3HBerPh6OiIH3z3u1hrafuOH25WnB0t+PZv/jbK1GD1sKSctCrG6DjeO99htEkKQCCHxAhbkkWVfXGQVJYmBPBe0BqUkrhk3wsiHp3bEgVGg7H4ENA+nUjiyh7noro250NQiTS+2d7sfN4nWCrvVUnMTs2F73J8Hof2rZoZxxTOSd9glzzOY2k5X8/7jeMmT42r+fPl5SXGGN599x3Ozy+4vLzktBD1HZrrj0nkcj6ef/8yOWWHe5ZsyfzuZk4hpyjuNlf0mytkc0XYbFivr9B4jDYxwVpTUzVHuVAkxewe7mMZxHjn04g3GrgzGbjgWJcULkAC2pjhvZIQ8CGgbI24jrbtUNU6Jk02hkof47sW2xxvBQ4KRFRi4RS9D2hzU+g3nBtN0DoSyV1MDG2Uwrs+CkCURhmDsjbFJS/I1eH5VLjgUq4SNQg0ROto1yd1MdoOTaJthamWVHZDCC1VXdPWi+hEEo8iEu9Kx+vSCCiDKLD6GF01NKf3WL18wmZ1hdmsCetzFpsPMMsTbKqzBIXrOuo65lbJDi7h7vGz7/LM7zqrbvYFh967LzI/uOsc43Xf29dKSBfZexmejJA8COnMw8RRKRlUR2Pit6ykSPKI5N/Udr+9JGo6f443p1Q8S37Zo3d2SyIPjbblmCHVLxPDN65zdBP3eejGKCcrY6Jy3zHleaaWfE61wfj4fcTwIQJ2X/mZpB57QPd9vklS7A5WUw/uvns7vp5tnYetlJ6n2+q1+9v+djqEQ/scassZM2bM+EVgyiAXkbgAVKk4kQqObnNNf32Ob1eEAFW9oKrrlCBja6wEE0lOax2+jkvBvOtSRuY2KZBSUo00EZOsxJG8aoNoOBYjqPicYC5ODp0yQxbvEEJKoyGD0atwdG5F1dSD088UY2juo01akqaVREMx9bveuahU9h0hKReCQIWgQ493G0Jr0KaJoSdsTXNyhnMeFRwiIalATMwI7cD1Lf16hdtcwqCYFvq+xxiLA3TVgA/IghQ/2cdMzFiG9CJ3IEP3bR+PK7qwXyBPLG6O8fvKHk8K8/gOW5vlEPlcfs6T27Keh66x3JYnxa9D6pbZ4PP58jmtncNKzJgx45eHUvI0+jHiDvPtgRAKIa3uCVyfn3N1fs5/9g/+Ad/77h+B76m0Sf1yVsvuKmNtXvUiQqUNy+WS09NTnj17Rtu2Qx/uvcf7OOb2XcfJyQkKtuNlCLSra/7kX/wR3jkchvc+/DUevvtuXAWT+mgBeu+iclLboT65DcZOxvxXbXcAwGgFwWMMXF9e8oPvf4+j5YLlcolSiqPjE2yzZHlyiq0adFUTvMM5j/iA9yHWwagiad7+sTUTmrl+emRTlP/GY1hpa5XE7/h8Uw7W8vxjUrWMqV+WXY7NUyrikjgux88pTiKfp6oq3n77baqq4uHDhzx9+pTT09Md8dp4rjyu77gdv8yOWAVkkylzUsO9C4Lve/rNBfTXhM0Vm6trFIJZHqOtjfGFTbW9X0oRxI/a5HYnAmkd3iBiHttOpZ1mLALoqsJqTXAeSwo1EgIEHxNNVxW676A+QpROfFjJmWjOTu+PWmTLowAxPIRR+L6LSaslhpQQ56LiWOuY/E2bRHpmctWDpHjD3tF3Hd51QBRuoGLCNAkeUtzhMmiNAmx9jPIOZQxdt8YsTwmba1iAWIYcIUZbVHYOaRUdYNphxHP68Ct0qyvc9QX91XPa9QXLe+9gmiPU4jjOg2xD326wdROvoeD+9t23L+QEyff4FhziBoei7mhj36Ws18FrkcO7Fdp+VipnQpT0sBB16Tv7Z5L2pnIlv3CDr2Wi4xMAFT2WEtw2yLeEOCllyCEej0tLSZUxREE6oHTyGpCdSKS53w1Ccvqa94dyuFHfPZ33+AbuIymn6jN1jn3fD5WZUSp0yzrvGwjy8VEZFqiqavI6xucZD+ZTbXLbPuW+nwc3CefX8xjdRuzPmDFjxp8lRJIzVDybqwv6doVrN3HyWDVUVYWp6kimZtUT8Y8xFjEB6wO2qvCux/UdfbshuB4XYtgJGY7Yele3jtr4zxgTJy4C2lQom8aSIFvy1UfSOCRyOSs/lVLJ2ItjTt/3gzI4nk5SVInk3EMNS+hUWm6mlBrKlvaK9eo8qqR1JISrusGYKk46RaiPz/Beoko5jf1GQIIjuH5I4hNCWiYXAsH1+Hyurh1aRCRgqgal9BCPbzwqfFGjTRgsmOH71Cql24zIsi7j+ryOomHKEXxoYlTuM6WKmvqeUcZjPLSyasaMGTPeKEj6L0rs4lzTe86fPeOf/5N/wic//Snf/+PvoiQgPjq7lIIHDx5wdXmJ6/sY53SxiH1nGlusiYq6vu95/PhTVqsVx8cnw5zYWkNV2YFwdM4NY3RVVYDQGM31q1f8wX/9X6PqmsePH/FX//q/zsO338EFQNVxPEVhbI0PcW6tc1YnFSYuOHMBcXQUiWIyRQxpvLq64Dv/5L/k2ZNPWS4qmqbh3r37vPveB6Brls0iJvXSGi9ZyayomjrN71Vi+G7OoUuUCtuMcnXLISHVXQRYpZO1HI9uEx+VQqnxeDlOupe3jx2q5XHOuR3nbp6b13U9XK8xhvv379847/ha943/5YqtMcH9ZULmnrJ9lp0YIo7N+grfbuhXl0jXorWhWS6xy+MYckUbRHZJ9KxmvYvYbOCC4rf0+ErqGrZGuUqhEBAFWqGw8Z1XLhKtEjAQbdGuR5sa129o6uPoeLJm4OUirzWw0Lkmo8/xW1BgrI6habzHuzbWV2LCx6pusHUUWOTl91GkmULLEQjeIaGP73qyp0PnsBW4vsN4h++7uEohTUVEAKvQxyfoVcD6ltMH73Dx8TneeXSdtSkq89EordCiC2W1RteahbH4qmZ1+QK/WXH9/DFHJ/eppEPCCb11mGZB37lEEFcosrigmN+kj1MOn3wv9z1fO1xd2BVhfFHse7am6nXoWXwd2/n1yOFxw5QVU2qbPTq/MHsqNdlp5uIm2j6/WFpiNkTfbXCuw4eABfp2Q993eO9ZHh1R1zW9C9jFAlst4sikdVxequ2wrIByfdAEQTmu69jLIxPbDz1EU57Kqba47aEcDzJj7+bUMs9Dk7xD+4zrkA2OMjD9uI77yN59BPC4nuO2O0Sy78PU5HPcTre9KIcmv1OD7YwZM2b8onGQoEMQ7xDXgu9wXYvWClvXkRgmLnFSOod6il73ON7FRA8Yha5qTB0zDIvrB7Uvo34ySIjEMoJOHniAqo4O2WxYiQR0+hsntnGbSok/yuuIY4mOoSgqEw3kNB10Xc+iaQbCOJO5AMZmZ3NAWQUSCP0GFQJaadp+g+ta/PoaYy3N0THSb+g3V9jFcSS/fZfUCBCci0auxEWCwbmoqO42MfabSMwMLAHfrSPprtKkSRkCJi7/Gxkxt41vQ9sWhG85IRvffVXaWkWZd7U/psbBu4yHU9ez7xxTv5fZ2pWKCuQpVdc+AnhsO91omBkzZsz4BeJ1zfvdfleVG0ACygd++sMf8Uff+Q7d1QUnTYPzDtM0WKNx3nN9dUHwHqM19+/do+s6RITFYsFqtcIYQ9d1bDZruq5LimJPJJ4ErSMR3DTNDplnjEmiHkvoXUp+5QndhieffMQf/jeBf/Wv/+scHd/D2xBXHBkb4/2KSkRvHJcDgbKLHtsIuS1Uuu6+W/Od/+q/4NXTx5jQ4TddHJ8XNauLVyjToIKPS9m1JaRBWan0d+d+hBtj6rj9x7+VhOZt894xUTveL49DU/P4gTw8MN8dr8w9NN6V6uJy9UwuY589kX8LIdA0zQ3ielzX/PtUPcYror9MztnhmqSwyhLBie9ZXb0ErehWl7hNS11VLE5PYsix1L6x7UAk2VkokPQmiKCSz0KpFBubsX1V1id/2oZXhRTjN8XVRhs0kbRFK6zVBKUj4eh6VBBC3yO1wzsdk033HdZUk2JVUaCUpD5oSw5nuhrvWZ+/pO97bN8TXI82MVeHsRbbLFGmiiS50sR4MrEPCMGjJICP4hLvPPhot+vaob1H+o7a9fh+g2kaUCmxMzHOctAWuzhmc/EMfXJKT2DTrtFNE8PRZF0KKTk1CqMUyiiCCjECjVLo44pl3aAvX+Gur/Dri0isi0Y3MYyErRtcr1CGuBJhcF/lf7cLGO+K23Yf2+yvi9chrz8PPp9yeOvsiJ4H2CaAUwytoko3RiKA0WpwpirYvi2qeFnS/rlcDTGLZLei3axo1yv6rqVvO5QEXjx7wfXlBc71nJ6eUNUx5uDDt9/l5P4DTNXELOy1JkvTYwb0mKFcCcOLEsJo0Ev1yZ6K8jZG5VQ5UYnXL7K9np1mu8MNPOS5LL/v23/f8Xepw10VTlOe0qn6HbrOseppH6F8F5J9n0f2hjfnQJnja7vLNcyYMWPGrwJDH8g2MZzrW5SKqmFtLDkkBCpN63ZItTSi6bRPIouNsajKR6NO4gg3xBAUScs6k7JXqSFUBKghxFQIMflMpSJxG9JSVhEhiB2OjZOfaA8IgjY2GdjbiZwxMYlGVjGrEFBKF+PNdhlm8B5MjdFxRcvCRLLX9T1u0xF8T1UZlLnEr5f0VY0xNtZFW7xzcWIbPL53kVjuN4SuBQTvHGvXY+o46a7yxEobEIOEOJlTKT7jtrF3vfpZ2TRWFUw5S51zg1JsZ3KzM+H4YiGSblO9jMf72ybj+8odj9Nj43iqjEwgT0+ev7xLXWfMmPHlx21zujyfDeJRIRCc4//3h3/A1cvnaN8jKOqqiqsxRbBGY1R07jrncc7RNA1t2+K93zmP957lcknXdTvny07GzWbDYrFAKTUk8Rzi2lZZcQq1MXjg2aNP+K//v/8Zx2cP+N1/9a9xdv8hfd8j2kRHcBp0dJrjZ3Jx33xNxwpBcPzsB3/Kk59/hBaPNorKWO7du8fxcsnV5SX1Mpoi3ncprJUeHIgS/IhpOTx/K9Wu420laTq+h2UbjknYkkQtQ0NM3u9RGeVv5bhfhofI28uxbirMQy4v75frNaUsHguibptP7/te1mffWPxGQhX3KNm4SGJ6xLM+f0a7Pufo7B7BdywWNbWt0bYi6Ao9ym8Ui8ihFAq7TkV3STylRond4cBCyM9CLGS451I+ezJUMXNHQ5iRdA9tFXAE8I4QWlxvsEbRtxu03SB1gzI2FzfUTye1sqSQr9vXxxN8z4uf/5jzxz9BtdcggrY5ybPB1At01cScHYO9JVvGFrb5SFRc1ScieN/hXYt1CxRC317TVA2+XWMbTQrIltpIIWiq4zOc9JjlkuurC+rlAm0jP2dJsd+zvZ/ObYwBrfApIaStjrBnBmct68tXtNfXKGVpbLwnToRKRaeX6zagNSYlmgaFhN1VliXuYifv8k+3q4bv8i4dEkfu4wV/EXhtcnjq9HrPBe4MnNl7o3Y9JtslKJL8klm2rzEIeEe/2dCtrrm+fMGLZ8949eIFm/Way/NLLs4vuDg/x3UdGmgWDSenxzx4+220ipnEm+NTmmONaWokdHESqYjLUrUFkodIx38xqLakuqWkaEQyOTdAGDxS5fUyEN/5uqcGiNsI3KnfxgTvVNm3lXnbw1NO2g49jOMJ3pRS+a4E9r5r3Lf/+PuUR3Sq/iEZZnFZ1eGX8rZ2mgnjGTNm/KowjKtBovc9xPAI3vvosNR6iM2njB5Wl+30u9FkHAYtpWQIBaV1QJlM3qXJ31BGPn77XVLZKo3j1qoURiIAGqUFQsxoXJpLmWyG5GQOUbGrrd3pw733uDzR0SaS0DtjSCSftTH44IpxyWBVXDHkvUPwaSLdYfoWbWpsXadlgynjuAS887x8+ZKjukKJw2iDNRVab5USvl2jRDA6JrnTRNI89Gt0VYOqEaXTBOMmybpPKVR+jm0ZlweH0ThZup6nbIO7fr8NY1XRvu9TIR+miN/xNW6XOjOUU05oSwJ91+b58i1tnTFjxp8npNjB+asEnj15zONPfo74Hu/7SERJQFTs66xR1JVFa8OiaeJ4HjzWRBVt09Rx9YraznWaRU3f9WyjLgREtiElMvq+H8Y5J4aj5ZJ333mHZ0+f4lN8YuMDFy9e0nc9v/dX/zXuvf1uDNuoVTpnJGI674bkaTeEOsQ6BO+pteJ7f/LH/OF/8085MvDg3j1O7j3g7P59TGVBa3oRTu49BJ2JXY+xse2iHzrJsEQGUVdJkO4bm2A71k7NIacEQEptY/+WJHBJFt9WzpgMBnbI3DHGc/lxTOGpMbcsG3bVzlNlT2Ga0Npvo5T3+ssAxU3SXCTQdSuMdGxePaJ3Hn12H60MNhOh1qAIqCi5HZ4/gODj+zS2oLItHSmhACHatiJRPX+TK9pacON7kCoKpLAeImhrh+vwIkjvcN0GUzWEvkVCj3cdRttUTipbBPH9IO7wXZdqG+iuz1m/ek5//oyFOJxSONdRaRBTxVAStgZjQVeJESuSIrJ9L52LdrdWGtECOubvsN0Gq2qkb3HtKpLXVYPKOVBEUKLwQSF2ydWTj2nXLY0xtFevaKoqhssIAjra+CHIjrMmOkci2SwolK2plqf0zuMuX+JW59imARRaAq41GAHbLEArgos5S4yNwhIo+L3R83TIdh5vu83WHm/fx9ftmyvclS+77fd9eL2EdBOd72240QFLSh5HfkFG3kajkd6h+j7GUNysaa+vefr4MR//9Mf87Gcfsb5e4XrPxfkFm7al7x0ahTGaqrIcnxxRVQ2b1Ybj+4JVUC1q+q7Fty1KgbYmqpKq+CCTstLGgN4BfErFWsbIK5LhGEWcKObOGkDCtuO+oTM+TCoeIman2nSHeL+lvKkYwuMBZt+9PfSA3lafqU5v30D6Og/u+Hz7yOzyN631TvzCfcT6XV7wcpD/sgyUM2bM+JcDO5OGof8Dk5TCeRFmjEdMDCkh22Nh3G9t1QvZgo2csQA6Do+j/lbfOL9KS1u3ShZFQYxqPSSXmKpDPiYkBcCkwUzkrzMJHWucQl+IDEnzts5KDRq0lkQ4e3TwhCCRBw8d3XWLSstXQ1JmrTctP//oZ/z2b/8WVlVkRbUWScl+epRSdG0MLRHCdnlabZaI79G2jGc2PU7cNtbvG+PHDtqp8Xo88Zs6/vOQxOPP4wnsvmOmfp+ySw4pkyS1f851oGfl8IwZM95gCDHMggSP9D1/+J1/zvrqCu86tAoIhoBQNQ2VMVRWU1uDrSqc80MIiRiPWGGbGuccy2WMQ7zZbOLv1Vbd6r2PsTWtHZLYnZ+f45I4RluD94ql1rx4+So65ESotEb6jhAUj3/6U9bXa775O/8Kv/bt34C0ykhUSnqmI6ldjtvDWKS3hNqrly/50Q9+gAaMgotXL3jy7BXK1njxKGM4Oj3h3tvvsDi7x/HpGQRPu+m4vLzkrbfeInifQmuArSwoe2Mulz/nv+X4d2iV6hiDsrogaEvF7NS8c2r8zShtmnEdgMkyx3bPONbvVEK6fYnm7nLNr2MHTF3Lm4qhjQpVg9us6K6eRXvVd6i0Ks4uT6msBlMl0YUQkiJCiSDiGVTDQQiDeFAgqepFBGUEVCCEeMpS/IjK6uD8nO4n+bY8EvHVMxqCQZsK5x3KBELfEZxDVwHXbVC2wdTLoWapFfD9Gte2iHf4dhUTT7sOv1nhNtf4viMEwdQVuoqr1GxTY6yJ/4yJRLcqwpBIZLiCT/GGRfA+XrQAvXNYFP3mGq2Eylj8ZoW2Fd3G0iwNoizZgWatRZtjFsuG3gTCdYsY6OprqtMKCQ6FRWPRShNiBpC4SjHxiMpYlPIxwR4N1dEZrrsmtCvai1cszgx6oeJqwBAT7pl6gWkWWF0RvKfv15iqgkGprFIEBDUQ7r9saeBNR9bgK/hCeJ33HF6THL6NNT/McG9f0Py/ZPlR/AYI4jrc+prN5QUXL55xdX7O9fk5P//oI168POfRJ5/ie481JmYd1xpTVzGgf13TLBuOT89YHh2zOD5i3XccG8Pq4pJ+tUKHgChFszyiXihAx6DYyhAkZnmN8REDvutR4ocXNJPDoFIMx5QcJ780xOzuKimwZOj45eDdTXtMKNnTS5icTmPPYpomD6uEd2MdZtfRNLk5NQiVn6cGr3Kfu5Ci44lq+Xvp9ZkaUMd1HZc79nBODYq3eVb21W9c/31l3OYZmjFjxowvCkkO1XK1U3awklbaBJ+ykG9atLJo26DRBBVi8DKZ7scjMpkKO6OIgqx7Cml/k5QMIamUTXaCSi6vVNJs658GKIy1hJTQdHyNsJ1MTTkrQwjJXAvbiVuOpRZCCmdRTBAVaGPiOK1y4jtDDvogQVDKQQgxq3K6xqOjJX/pL/7edpxTUbHs+p7O+xhmw/eIeIJzuNahtKY2Gl9prFZ436FNjXBzadnnciiOxve7qBImi9lzzOs4afc5gA/VYd8EerzqaHxMJh1EZCfGYiYlZsyYMeNNwdCPAuI9ip7rF095/vgzfvQn3+df/LN/Tm0UplnQ9Zu0r2CU0NQmDeyC0WCqmCtHxCZSNJKWmOh4dc4l4iAmB+/7Pialk6RyC+CdxzaWrusH4jjbEevVBm8dTVXhJZLJaM2irggiXD5/wne/80/x3Yb3fu3rnN67jwg4pRBjkUAkaZwf5plGa8T7KJ7qOn78ve9z+fw5y0rjXY+1VbQZlMIH4eriAmMNoW95/PFPOb+6xgVYLI+5/+AB9x/exyPYZpFisupEQOnCvog5ChS7Ct08TpSx7TPJmlfk5Pl0aW+UY87491xeSTpPzaXH9stt5OzgdC9iDOdwFmNH7qFz5e9lWeU8t8QUET71LGfcNq9+YzE0uxBcC8FjFkcoZais0K2vwZghpFjcE5AUxzt4gsRVY5kc1mw5mSFEafocowloclxiJCpqY16NLXUr+JtVHeypgjdSiedRCmsMXhl61yLOs1ldc1Q1uK7F1B3BO7StyhLT+vdAzKXh8aHHBI8PPiVdDhACObSbrmICZ2ubZPvq4jrSNQIEGUhiVAxd0zkX4yTrGCKua9dx1YGtCHqDXCtqgQ6DXZ6mXCKxP1BYmqN7hLMzeqVo19esLl+xINCc3AMjBKMwtkrP7PYKRSQpvfWwEtDUNfXRKV3w9F0HVxfUEjD1AhU8znfRSdd3UW1c13G1Rd/F60ZR2To5GPTwIKnimfq8b8I+h8DUthDuzm3dhtdx7Hy+mMNwoyM7qIDJ3pPUgefLkjSwKYkPp9usuDp/wYsnT/ns0ac8f/yYy8sLmqbh5YuXtG3H/fv3hqysSil8TK1KVVv6vuf4+AitNY8fP6ZHePv9r3D94hmryysqazk6OsbWFcdnZ5w+eMBCnUZPhHjw8WWxy2N6EV69/AwtnuA93jmauqGqYqByjMVqg9YKpTVeQtRYaY2uqvjXVgg6PrS5HdQ2MdAQT3kgyeMEPUhsHE2KNZgT9Mg25mOQsEMYKEgrjdI90Xm4LB9gGfrJ25S242079/MOE8jxZPCQR9M5hwB1sbz0rg//Xfe7rc5jQ2BWBM+YMeNNQPSGR23qFrIdV7RGGT2EaOi7Ddro6BXXi+S0jCET1I1kGWk8SrF/I/Rgm8ZJZlLyBomxE0nRvyTHMstkaxiWr0kyGuPqf4XSBu9cNDjpge0SV5UnfCGuzolLxKJRHBPapHjCEkncAEX8xbjCR6tYT+/jWAmgjcWLYCsbbRWy4zY5eeNAG8tO6gdjzJboViopryITb43B9Q5lDUbVtOs1ITi839B1K1QX1RZa6ZggT2lUIqfj4CxxwlBMPO86ziRtRHn74y8KwgRprAoL9q5k7uR5Jxyv+5zNd1Uq3WX7uN4liTw7ZWfMmPFngS8yDVBKuHr1nH/2j/8hH/3gxzz/7Bl926O1IkigqY/i3C4E+s2aTge+/a1vsVmvcV1H8IGqqVHHR6zbNioCVRzrNYIRzWKRk87FcxpjWK3WLJpFUi+qISaoTopeCZF81kEQH+hx2ErHBHVA7x3WaAgO4zu+9y/+gB/+6ff51/47v8/Dd95F2Ybed4m3Ulgbx3YAFwIaz+XlOT/84z/hp9//U7RzNIsjNt7hc3xSSUv0JbC6vuLyRYURoe173vrgq3z1a1/j7P4Del+swk1ElVaRrMrJaYeVRCmRbJ7llmNFyVOUquNMvmaitxyT8+dxrOfSKZnDdti07L8kX0rStzy2HMcykX0IuZ5lmeO6HgorMcXVjEnrfY7cspzy75cBW/s28Y8hxthV2mJsDcqipCN0G6pqARKKZymtREMI3kViWIH4EN8ZCQxhK1Ieq7wCTYX4rGoTlbHGRLFhpHFkS66yDccVsY3pG6mclLRQMeT9IPUB1kS+i+AhOAgOcR2hb9GmitdLXLXQ932KfezJxflkS0dnksP3HVpVKBvrrYwFY1FVk0KvRigBnd47Yfs8GK0RY+J7IAEh4JxDK4XrNvSZE1MKvzEpNrJQLY8RVSd9iaJanNAd3UfrGrShX13RXb1EITTHZ/F98YJOQoF4n+N9IvFjQhRzaFtTH9/HaMvq8hXObQiXPXWzxDaLGP7N9wTfg6mgr1HGYuoGU1v63gFhEMnk/g6isCR2S68/QOwTSuyzq6eOK495HS7vdXitz0UOlx3uIdJv+11QEoaHNXfkKAjO4zYbus2a8+dP+fRnP+Xpkydcnl/QtX3MyrrexEla8sBoremdiw9kAO8DzaLGueg57fsegM1PfsarJ8/o+pau6zg+PuL+/Qfcf/tt3uo70ApjLYvKIi7g2w3r1Rrn4ej0jE8//YzrJ4/p25bzl6+o6orT+/c4PTtDaU2zWNA0DfWiQRuD0ZZmucTWC5S1VHUAG2O1SJogx4ZikFXFTiUPAD6SzWnuKr6PaigCQWLXYLRB2Sp2XhKJ8UGhrIiTd5Ul8TunGp7jMRFa3rPxvTz0wL4uiVo+N+Vx2Yu77zzj38uBbgp529izW6rS9qmVyjJeZ7I7Y8aMGb8MBGViPPyw1Y5mlS6i0bZG22jYoA1dt0EhLIxBvI3KWa22uQFkW4YkZUL8eUS+JYJYp3FLgk8qirJ/TeNQGtfjJCUpnUNelinRgCWGbvBJPZHHPUmktUqe0mzYSg4xIXHpWpxMlkqYQHA+xYFTaezcjg2CQ2mD60MiiGOOASES6tqkiZUJEOohGW05LhhjUIXn/vT0lOv1KsWJVNR1jYSYDNC0a/oU+6wxNqo4lEGpaqteueM4V24f7hfluJxvZJocp/33jVv7zlFuOzQOjsf82xzG48nm53Ewl8d+kTJmzJgx488aCnjy+DE/+uEPWZ1f0G7aSA4FhnksAKKo6wpjNM+ePcNoTZXmRMYYlNEcHx3hnMOFwOnZfc5fvaSubBIXCh6PwqBtRd/20dma5oJxufd2vm6tHebIxhiOjo4G1bG1NjmDYbFccnl9jWiDv7zkH/2n/zH3HjzkL/zO73L/rXc5Pj0FicphJRKXkleWy1cv+P6/+CM++enPUN5TGYVz8XztpovztyBpzqw5Xiz5jW9+iwA8e/YM7QOr8wtqbVG2ikpAIzFRndLJ3iA6j1OCrTjnlaj+LNp2auzIbQBbUnc8Dk6RoVNO0KzuPZSkriwvJ7gbb5+Kb3xIfFfOpUv1b1mHKcFTydmUiuEyfvNU/af+vukYrldnSyngg4shFKoGbauYFNL1BKXRNj1bpDZMK8NCcAQXScTgExczhPhQiDYxpm1I91fF91AkoI1FJOfZcltHgM4Si6G2O/XOoeBEfNRtqMgfBfHoyhK8RVmLUoKRgBaP+D7G+V0coySWHUIkaSsFPgTE+0GIgeSVdgFb20i4ptjiddMgSkd7WSVZQuKgEks6cCnZtZGfbSWKgCAS+RbtA/1qRfCp3zMG3VYoFL2CapESwqmAtjVmeR+7OE0keEW7uqRdXaccIgqlFqCiiCTax/mZVgNpq1NSaGUb9BIWwdOvL3F9R+sdXbvCLpbYaoGxi7ii0VUxtnK616ZqcF2HsZHMltTHRoJ+LLy8O/ZxSa9j4x7i4Q4KdX/Z5PC4wy07jZvkn4AK0XPhcvbwNnpKN2tc29NtNlxdnPPs8Wc8evQJ69UqdbrRY+eco65rzs7uDV68qqrQxtB1Dkt6tnTM9KqNodKGrmu5ePWK3nlevnpF09T0naeqa2xlOT49iZkeNfRdS3d1zdMnz1m83fKN03t88vGnfPef/lf4rufy/BwfAlVTUTc1y+WC5WLB22+/zdn9e1R1zb1797j3IAbbPzo5RR+foGofZf7KxLW5WaGVMhnmpbIoQWsGBbOkybB3LiqyguD6HhGwporlaIXRMf6S6PzAZtl9NXiCIS4HSNF37nyPxzg0AdyH8bNx237jfaYGx7GCaOplmyKAbyOUX2fCOmPGjBl/FvCiwEf1Q4aIDE5HTIWpl+hqTbM8Yt1v8K6ja9fUOgV+EJ287ZokYNgilTtF6GVyUgbDcHtY8D6GZPB9CscUJzTDyh6y+mLbj7s2kcSUE5ftcj4FiJJoyOa+XyQu9fIhriolK6BCnJyKJAUvO0tLER3rZTS9eKxNsYa1wSgLopKxCmJBJwMzt68ajPKkntZx/yWwWV+zWCwgXTvOgesIrqPv4qohWyt8D1WlkZAoXLU7nk2Nd1PKApUM8u32giSf2H8fps43/q3rOrSJ6pSp8vb9NqVCGu9/F7tievvuRDdPaN9UhBB49OgRp6ens70wY8YIIsLl5SUffPDBG/0ef26ESFqevzqn3bRYYzk9OWWz3tD1bQylEOJS75hsLoZsUioSlq7vOTo6HgiXvo+kqlbC+vqKpqrIg3G76bDG0Ieevu9jgk/RLE8WbDbrQa2bwwiICEdHR4SQwlG4nqaphrE7Co00bdehiDl7NIJbXfF0dcXzzx4jyvLtb3+bh2+9xeX1FQ/eesj7X/0qn330c37yg+/z4smnhHZNYyusqWLCPBtX0mzWaxCG81++OucPv/PPOTu7x3K5RPWOJz//OX/yh/+Cd95/n/tvvcU7772PbRq860ClwFCi0sr2PBYUjtTCpsn9b7ni2DnHZrNBa02dlpOPVb0wnWgVpueLJaF7G6k75k/yv1JJWuZnmCKKy7L3heLaZ2fs2zZVxnjblwkiW4U5SkX1at1EIV0ISN/H5MsKgmqi8jREwYHqW7q2jUIA70E8rneRfESGBMpBa0JwKOJzZUxNtRCMrtFYSMRsrs9gU+cVdyLArj2TqUetFGTCWgFGQ4gcl61qgu9wfUdV1XjXo1yXyNtoyw5JI1NujmxDBonfNQHRJtryJLrae1zXo+tFVA1LsoMLEUIWKkT1cMBlO9jHVNcuhXnLVxKcR1RLuzJp3mKoVLwcrReYxSKWqwxHp29FonuzRmsLpqJbvaLfrAiAPUq2pq1j/VSsUQ59kc+pVFQqB1PTnLyFtg2sLnDdhtDHdmuank6tsLbGVDWmXkDoIfQxnvNiifNxhb/WZnf1ZT7vHbiju9jRt9nu+3Abt/V58drk8JRHbR9ZXBwVY/p5h9usuTp/yeWL51y8esXzx095/uwZ15eXbNqWxdFRzLweHAgsFgsWi8js25SIRAF109B23RBvse97+q6nbTdICFHR29S8ePmSi6trgmi6PnC9arm4uODkLBLDq8tz1teXXJ6f8/LJM548fcFbnecrX/uQ/+If/+c8/+TnNHUFQbDGQOfp2mu6dcum2XB5foXSGmsM9+6dcnRyzL2HD/kLv/2bPHznXZYnpyyOT1AmL9XNbZWW+aZJd87uGoLH9x2+b1ldXdKu12xWK9r1hqefPWGz3lDVDcfHJzTLBScnp5jKUtUVtq5YLpcslifYqsFUFaIEUZqgNUbH9suBxffd330P+iGi9tDzMp6ATnk5pp6nKUwt2ymPGZezzxu8b9Aef56q8y/jRfxlYZ6kzpgxjS/LBNXk5W5JJZoRJCp0tbKYakHVLPHtmqqq8H0b45BVNSYpDhCJKmClB8MmOd4H1XDJ/mav/A7UMIxFx6XrCeIHR67PE5xc4zxJY1u2JCN1+JxUGiKZFA7DJFUpNSiGveuHRHhZvSzZqE1L1pxL6gyRIUeAR6NCjBWsJaBthROFVjZmSDc5nliqVzaiEWKSWoZVP3nyvlwucX2XBA+Brm3j4cZSWxuVxFWNKIUQgEjMT40cRXNslRD5cyLYsyJidIeSGax3qp91MsNzMppw5piL+XzjcbKu6x0y4RDuapgeUksc2r4t+8s1dj169Iivfe1rv+pqzJjxRuPjjz/mww8//FVXYy8+t6mvFAS4OL+I80YXWB4f0W42yUkb4+8jgaqyVJVFm6iG01pTHx1RLxpWqxU4R2VtIrQ8VbV12sUwSHGcimNmoKoMWlnaro18aQq3cHR0xHq9HuyepokhKZbLRYpfHPv+qqpo23ZLLCnorldUdYUWSUvve370ve/yI6VYrdd8/de/wSc/+SGPHz+mXV0RupbKVgQPnQSMzQpERV03fOPrX+f73/8+69WKpqq5vrzi4tU5dV3zgx/9iK/+2tf56KOP+einP+H47Izf/ct/md/9S38xku5K41MIqbpp0NrgfVz2PZWsLd4ORdd1AFRVNYzhmZAt4/uWJO+UWrg8R7mtTFxXnncsZorP1W6ohzzOjhPLlfuNHaL71IIlmT2uYzlWl8T3VHuVBPMvi4D6ZUNpHRM/CoDG1FEtumnXGJVITOlZ2IrgOwiK0K7BddGB4Xt8CLiuQysiAaoULhG2WmkIglu54T5FG9ZTJZtWVA0hktRa22jvkQSNaleFqpJdPtRfKRgiHKdVdin0mgsh1s15jA8o7zDeRyGDySvHU8JI32/7gpBt5jgVIKmHY9I9jRaNEo8mxltWOsdChxxmQfI2BDX0CcJWyW8KRTtRyBECfbtOCe5sDIOnQOkqhsqxNXlOog2YeokXj13UBL/ErdfI6hqCpzpKYTas7IS9KPkhpWOCQaUDKgTM8ozG1tT9GulbfNfGfiN4et/juhW2X2AXSzTHaC2ETcDYGvEOvTwhijyn34ND78jN9+/uQsnX4dsO4XWPe21yeIoEnuqAhodeYoyVIJ7gOq4vz3nx+DOePfqUR48+4fGjT1mv1iilaBYL9KbFI9SLhuOjI5qmiQodBbaqhk7ceY9tKmzK5lo3Fd2mY7GIsZaur86pqorj42OUMlxdrri8umS92XB1dUXXdaxX12gU3nkeffJzPv7Zz/ns6Us23/8B6801Tz99xNnREUfLhrquqKylqaOHY7FYoJSibVvW6zXX19ecv3xFkMBb77xFXVV4Ed7Rmnq5RKmQ/RmpIeOLnpfkBtfjeod4z2a95vmzpzz/7ClPP3vC82dPuTw/5/mz5/gU/P/+/ftUVRWJgOCpm5rF0ZK33nrIex98lQ+++lWOTo4x1qJMRb08QlkPKSyF0jELvc8TwwkiYN99Lpeg3FWptI+c3edQmDp3Wc7UgDsuZ+r5nPp745kt6jB+psfX/KYPmPMkdcaMw3jTJ6habUMuQKEcyYlYlEabinpxTLe+pjk6oVvHJVa+bdGikKpKiuEUrwud+vzME+esvAwKZUkGodIaYywqCG6zQonD9y2h71AhxHiDaZwv8wpILreYZEhK47xVHcRwSiG4SICmsBSlyikEl649ZZBOMQeV1pH49ikxrdaIjhPuEByS4gGKAmsrRPoYO87HDM8qxZnzXiPK0HU9R0dHcQIgDhEw1iBBxbAX6Tq8pEIFcoIcYxSEHt9toFmgQo6UGB3BStlMjeeWgaFMwXtH9B9HEnyISpfvcbZ5tR4UMChNQCGuTU7nVBdrQOJEfBuPONYmK6QyxsZm+X1qv33738UwLj/vc+re1YCNSqA77forwenpKQC//9f+On/3//Af8du/+VsEEf7xP/pH/P3/1z/gD//gD/idv/h7/O/+w/+Qt956SFYTwR6nTNwwKGOK3bc4xKMX23bnn7sxqof3V9KS2bFvKDssxiff9Vrc3JbLvMP9nd6j8EoVOGR9qezgkZsTt3ETK8ii/lhu0b5lOdPVKhxf5Hd+v9DgEHTh15mSb9wgD2Inur2p+fNkXeN1SNpeun2kOFwXx4bCaVVeh75x/4ubXMCHEO+52kZM9+L523/nb/N//r/+X4b35F8WbN/jSIa0qxXBOYxSXF5cxrlTiOEMjdK0mzUg1LWlslUce6oKATabFE4xBLzrMcawqOvhXlR1HZWMAnVVU1nLer1mvdlwcnqMXmkuLs5RSmFtxWq1IoQwlNt13UCUXl1Hsniz2dC2bTzXIpLGWmuWyyUh5RwwSqFViDE5leK9tx/w7NNHiMRVvvi4FN71juCFqtZ0mw110xBCzFnwwz/9AVYbsFWMyy+BZrmg73sE4Vvf/hZPP3vM6vqa7lrz9NHPefqVt1ken4BtWCyXcdWsVmkevTsHnJqnicRwEnn+mvcbhxvcIZgm5pflfHJf8vR9js6psXPcP0wJk8Z12Ff+eB47FlONMUUa70M59/+yIA8ZUYSn0Toq7o2tcUl5GlxH366SvenwbZfCL4BzMSmdTsOP0fFZlURIKq1iqDTxQ/xpHRwgdJuA9QH6GOZFGwM6xYY2OoYwIN1fNboX6XZMk/Yx5xTEhJPaREGEcg7tY5zcWG4cy4MI4n0if7e5OvK76HxPnEfEGMeiTbw+bZMgJdVlIKizNZniGIccLkNABOdzyA1N8BKdYNl2lBATAJJWppkKsWvcRlMf3YfUrj54YujgClUt0WcV3q5ory5or6/jXOFEMCoT4Gb7DCc+KydyiyIQiSFZjYF6AcEjvsP3PeI93rUgnq5b0/YtletZBI+tPL5dx7mWd5jl/RjOYmgPhnOWb9AUn7X77nNj+9TnQ2WMf/9Fc1GvRQ7vI8Z2Jn9joz8bnyh817O5uOD5p4/5+Gcf8ezZU7q2Y7FcolXMdohSLJqG5dGS5XJBXdU0TQ3EiZq10fPivMNWVUxyoxTO91izYL3qQKJyOC+xWTRwcX6F1oa2jd4C33u6VQsOVldXPH/6nBevLnn06FOCEv75f/5f8mtf/YDT5RHZTNNaUaVMiUrFJaZnZ2ecn58jIlxfr1k0DVo0n336KW+9+w79wz6+uNrHfIe5jdKL4tqWbrOiXV3TblokBF69fMWPfvgjrq5W/PiHP6bv40NcGUvTVAgSYzFvNvjexaDjztF2LUrBO++8wze/+U2++uFX+cp7X6FqGu49fIujs3uYqokPsbExFAVQrMaZHNz2Eavje18en3HbQ3tooBkPtvvKGu9XkthjhfS+800NuIf2nSKT30Rk4/uHP/kZb52egYpPs5It+UM5AIi/0c6xU78ZomP8vpd/lVI3PNNDWXdos6l+5jbnwqFOcuq8h57rMW4jNcp98vYy2cXYWNv3vuyLp72buOBmvXJ7l2WMn9ND92D8POf6jw3gKUyVd9u7M/Xb6zwXd6n/uNzxsefn53z7t37zSzFB3Wc8DO2gFKauWZ7eYxUcVoRus6bre4IobAhUTRMzBysVucWcgXewoFPfWZYrUa3k+p66WbA4OWN1cR6z/3ab4RnPBK21NiYYlWhQa62TyndLanmf+2QpwlBEklmJoIJHK8F3HlCIqdJzaBCtEbWNyagETKqnNgajFK7v0N7jdVw6FoJHe482CqM0wTl6AUFjbIWoGJOxrkxctpquf0jgkwjakNoiSBgMw3E/kJPXquDT+1OQwbm7HZalheE38R3BxQQjEkJUtHgXl7bFnRlIIR3jzyltqOoYa1prgzYGEY3vA4JDqegI0EoPpNG+ofhQX1ZuH79fd8G+vmtc/hiH+inYxsJ+E5Hr+L//u3+X3//9v4FVir53/Mf/4B/wB//sO7i249e+9jW++sEHHC2PyKRrvsfZUcONdilY3tsmA9tZ3UBdDpnSs80nMtqZCRK2ZBuLQoc+Yu9DFYUcfc/19XVa1bbcbh54TNk6kiitkQNlF1WTUR13a7pb90x+T12XyudTqijpDqz3PtZ4Bzfbr7jbw7kUozYZ6lzUXRUtJLtnkuK5mapB2ULDHpII46I2u3VgcORlcl+NLlkNbcbOPev7SGrqQeEayeEqJZ9+0+3nz4vctsF7tDYYBXVds9lsYluFgJOoWPXe4X3AeRcTYzEe4yEvkZaUGEsbi3eOLil0lQKRuCKkspbLywuAgVzOyuDoHIwJX3O/fH5+jrHbuZL3nrquI5nsY8LYOA5GpXLXO2xtqZoa7xwX5+cgQl03WCCksSkkR/Cma1ksFnRdhyD063YgnuumxgWPsgaswfuegOKnn3zE8ckxKgTqRY0VYXX+iqayKGXjsyRC33VR6KTt9LxFbQlfrXUMR1nE6M3t0vf90FaRY5ie45b2+ziUw+RzMCrj0Irdqd/KazI7SbhujtUlOTzep9xW7lOqpffVaVzmL5qE+mVhaHtJ90prKluxunzO8v47hNMHdJtrtO9jmAG/zTmhqprQtxgdnexiLKItUWibAroNbRjtyyiSiHPo4D1aBMHQp2cMpTF1ncI8xFxUg5I4vsBpTN69Dik/CGT1RggOrWNOKvD4fkMVjpHgUozc5LYMDPmQtYrWpPeeft3ifB/D2Ugcf2LSZgMm/svtkd//SGLHyoQck9k7xHm00gSifayUwocQBRtS2B0+QADXbnC2Qkx87ytb4bo1dnG6Hc+1wdRp9Z3r0UcKqwR/dc5mdYGtU2xn7M7cb/ssC5LiH8c2T+Oa0mAswRhstQARrMS40qrb0Lcb3OqajXMsTgR7dIZPTjhJYWCN1mlVYI57HiDNp27jtGB/fzGF8j3MfEIu6zYb+YvgtcnhElOd8c1tafmFD1F51HWsrq94/OljLq+v0Qqquub45GS4wdWi4eT0lMoarDHUdTQkjDGD8qV3Gq1VjB1YWfreEiTgveB0j1LNTpD3HN9Jqbgkte8d1xdXXMklL1695KNHn/C7f+Wv8+TlK46bmuOq4ez4BEPKhJ4miFVVDzend4513xE0VMsGsZZX11ds+pbjeydcvbqgfz+GvjCpM9km7PH4dsPq4oKrV684f/mS81evIAjn5+f8+Ac/iontVBzMF8cLFk3D0XKJNttByjnHarPB+UC4vOL81Tn9oyesrzd89ugzvvL+e3z917+OAC44jk7vUTXHURpfxWQHxV07OPjsmzBOPRtT2EdQHSJ8SuQYPzIK6r/PYbHvxRnXafr3m3Uvy/iyGLW5nn/w9Jq/9ZX3OKVD7AIlCi0QosdiSxZzk7wUkd3Q+RMEX953/HncVvvuz3i/KSMq77MvvtZ4++sQxtsBcLfz3Wc8TfV14/JKcvjQ+zHVRuPv499y+dlgzPtMXdPU+fL2qXewPG583VNLzce/HXr3xmrE8f7j807V4xDBPP6+b2n8uLw3Hbfdy8j9GXS9oD69T3+lCAHWV1f4fgVqSZBA3SyibTm0yXblyORYHgQVYlK4bnWFKM3xvXs8uzondF2hGgBUJHqruqbvupjATifnQjJ8fdjtX7z3eO+SgZWeYUBERSOO+DevGiIRxNt4uGowqG1dR2e0Mhit6NoWZdoYYqPv6LtVXEkkCsTT06b6NtEIJr/rGqzZToREBus6h7wgXUdIy1uHd11iwhKjzUCkDHwNQg6fEcmbRA+JQIhJMoJ3GK3ouw39Zo30XUyIp3Ui+SStBrKgNC5llTa2wdRLquYIa+t0LxxdG+NdGmOJSuV9oS1uH48zuq6LdloK83Xb2F++3/v6lqm+Ytwf5/3ucs43BX/lL/0lbHIOGmv4/b/xN/jBn/6Af/Nv/k3+V//rv8PxYjmhlC0tstGWLfd34z7eGDdCMRYU/w9tF1+0NHHNnLBEwnGHCJmuG2V/caOuQt/3OO/ic+w9i6aJivr8nA3P/4jgTAqkg/1ymkyXHDVF20xx2SQl1c62suJDu2QSduKyd8obbd+7begAygsoHAC5/PJituSuGuqudtp84sHZtsseRLIgnac4Xo3qPFRnuIQ4d6uScpXi9/IZG86c6pFJ4HGd3uQwTl8IxWUG73n//Q/46Effo79e41y2S6Hru5i4SiUHavCIGLz3ya6zhOATaWkiCVpZmibOP1ebFqUioZsVwFW1JTdR2TmZkqaJH8QyeQ6aSVGlAGV3bEmIxOnJ8QlXVyuOjo65uLyi94KponrSoHCJLKmMwfU9GoXC0PceAdq+ZbFs6HqH946+7TBas9lsqOs6jv8SBoJYGYMxipfPn9Gu1jHfQNfx/OkTVu2Kk/v3uffOB/zar3+TxWK5TVprdpXAU/ZyueI15y4qOYIh3jK7/d8YYzVuSbSWNnXePlYi59/L46fG3jz+lcePx8J9MY6n6r5vHr/vN9jGac5J48vke286btizIeC84EnOheDjCm9ncL4fkr7lPliZKpKAREJRlEEbHXNTyFY57n3MC2VsiM+jc+RQLt65FEZGgRJC22JMTPqom0g0GyVoSWpUySHZxoNLyAM0Ko0NxmhEdAxH6uOqcCcxRELdLHYceCFIdPQkR1HftZFEFkApgtIYbbF1jbEV1lagUkiIcl4lWyLb9z0+hWcg+G2bGDOMBYIMtnK0e2PIiBAcfd8iXYU2FVXlCHqD1AuUiasJqsUxoVtFEUsKfVEtlrjNBgkO13WIWlEtEhFu6zTshBvPev4tJsMMAzGfdkJChTENlV1gzDX99QW+vWYDHJ/cA9vQHJ2AsfRdG0O0CkS1NaC29vnUO/06pPC+vmCKR5iaF/+i5rOvRQ7vC4o+Nvx3/kJ80EXhfHwwnQ8Ya+j6jrqq6LqeruvRWrE8WrKoa6q0TDSqiSXGQrLVYHRoU6WJf6yHVhbvPV3VEcOtKCTFVwoSMFZDFAURfFxa45wjeM9HH33Ms+cv+KN/9s94/523qK2hsoZ6UdPUC46WS66urrCVRQGBKFnXvhuWwdjKYq1lLQonxMmc1tiqRonGYJAAru+xWhF8x+X5OVcvXvD0sye8ePaMzz77jItX52iladctr15eUFcLTo9POT5aYk0Mnl8vlqhkVPgQ6NoN16s1i+OTGEMxCC54Pn3yWQy5UcdOzvseHzxHJ4FmcYRXVeyUjCEuushGO9sOUrZqhpDvZzEYAXsf3Iy7TOjuSr4qiLFkJjB+9mIZW6/XeKHedJ2keMHjGYvXL35Xuvj+5TBy/++Pe47eu+BvvXtKXvZoUCiJS1q2RFrcP7fLQMQWk479SrDtctN9BMPw7RYycKfUEelZJr0aTzLGHfG+/QYHT1K25OdlnPV3bMSNO+zcHsCQ7bk8RyaNDj7TRX3L84zJzvE5y++HCN997VP+NlWP20jVvO840/FUnW6MC3vGkX3tUda9bJuyjacI9aml8V8GMngftsRiJlfSdQ7taFgen6WlUp5m6QmJHDUh4LTCkkJVGDVmfgYMpEAiEbTEcAeb1SVKKc7eeZ+nn3T4qxcYIgGvbVQMCWCsRlxIhvP0s2GNSUnlQr64pEA2kRhOxputakxKQIvS2zAXSicjWu0QXLaukeCxdYO1FU4b1s7jQ0fXdVil0MaiQ+z7+i7mMECSOisZtJkvCUmtJRCTxPqcBC8umdZpiZ6xFSYtW5VM9OhoCCuJloN3bbpfiRAgXrP3DmtAvGN1taLfXNJeX+PbTTxHVRN8rJPWKi4J1NFZXlUNi+NTqqMT+vaKPsDRyX2a5UlUcHmH6zussSjbAJLUL2l0U8U7d+DZy/s0za7jfWoc3SGN9vRT4/32nW+MbRkHKvuGoOxvjDH8T//df5d/+9/+t7n/4EFUv2ebaxhTt2Rtian2nTrXvna/cY8SMTx8TSq/jLssR965h8V+IQQ27QZFwPc9Tx9/xje+/e24Uq00wdJkavI+H7q5hS2SZ6FKFc9uWd1hvwnSdDBWioPyeUV2f2di0gY32lQplcI2yM13alTeUC6pn02kQ/4sEgn2uq4ZPxAqVz/vX/w+bjsZHVde42DbDU0y0QMohVaKpmkmNu2xNfbY+nKwh/kSobztw2AZnxmV7rOuFJ89fgTOs2hqWnF0111aoi4slw2r62uMyQlUFcFLJHLCNlSCcx7nPTGZbA9EskekBxRVZeO4YwwueBqtoG1xDqoqLulWJpYtxLipUVwTqOq0jNsFVn0K79g0Q3LXq6sVIrDerKmqSBA614MyBKWwKiqE2y7OpauqoveOvPRdqTSmKxVtAQJ9ihXcJmLaS1xB43vHZr2mXlguX/QY0YiLJO5mteb85XPCRx9xdP8Tnj9+xG//3u/x1rvv0faO4KJwK6DwXrIXJAm74nOeVdqZ/LbWYq1JoQO2iWzziuNsP455j7J/LQnl4XkY2azZVs+CprG9OmUblwrlKVu5PNd4rjA+bur7uH8frzbMn7P9nIUodyG33jioreo6SLSPY5Jjj66ic1bXTcrhETB5pRVE7iitfssK+pBi+m7njBYRjw5CcB6jbSLRfXRClE4HFARPcArlPbauURJQKSY3UNi16b4REicRc09kPkaCICHgkXQuQTtP8GHon2QoI+6j07MfMqGtQekqEuO2xlYLTFVHBvfGXCkVGuI7jXiC62NZO8/hNo9HbAcXf9PRMRZCwNND32J9k8LUbagqQ+hXGH0GaHS9BAQvHbYC7+P71iyPCd6xWa2ofRRiICmhnbXsjpX5Oc95SqIDQCsQ0UTRp4pKaYmrJGqlQAL+8iX9ZkV3fYmYBd16RbUQFD6N9TqK6oiKaynbiGlb9y6YmsveZc5a9gO/iDnu54o5XP6dmvTtdqDEeC8hxRZMnXIuIwaSl0TkRK9IHjytMVhrqJsKa6NHMb5b+UWN53DOJxsxDpRt6vgWiwWr1QptdIzLW8dJTd87Li+vMMZyfv6KV6/OWdQNJ4uGZtFwdLRguVhgqwoEqspwfLwcrs8L9M5D0MMS2q7r0AKVMjS2xmiNqSvqxQJ0zKpqjEUHx+rygtXFOevLSz579CmffPQxL1+85Hq14tWrV6AU1lju37uPUiqqnYymPlrE9jSapokZVp1zKAJVXXGqLPfun3H54iVXF+dsNnHZ74vnL2LSg0UFWuOdwD2hVkcIVZqcqyG+mFY6dg7JD6xEMagu9hjz44GofBamBq/XxetMIneJYYjkQZ7q33xmd8vI07XRsrzBoB5++JxX8qvBJ53lTz97xb/xzn3qAChNtKFUisckUZwmMsSJK5diMH7Pc8ESl8hFs9+Tk12J5CXT48h2xT3IMbdVjowft984Rz56uF+FYZVjZBT76+L5m1IRlGWVZG7+vZzkliEh9pGtEJ+fvBwt/z4mIscGYUa5z77P+7aPiZcpQiDvN1bR7iMO8jluWw5eHjP+PHWefd8P4S5Edv67jxj/MpPBGdvnMhHCQHAbCFulgTJR/RMQmuUJmqRs6Czd+jomdgsxxppDYSSksApqIDaAHcWBJIM5uI7Qt2jfcfnsU+6//3Xe/+ZvcvniKVfPHmFUdJCSVrogmqCSCiMEEL+TLRwYVFKpo0gqXI8KPhLC2kZDzprobE2EcFQR16BMIjZTXcnPckjL3aLxapUQVtfcu/8gxvN1UcVEUiArFUkYEYmTCHJM5Gi3xGV7yTgXiSS7c3jn6J0D50Ab6qMjbLNEVQ2mbhBtMaZOBLPDuxijObarj6qLlGRPvGN9ERULm/Ua320ioW8MVbPA2Apdq8QfBYJX9F1L33m6qwuuL17QnJywOD5FV0tahBB67OIIYyuUsQQXCN0Ka6toP4VoR5WhBsr7kzHuH6aM132fx4TlGIe23/be3lw4/+ajqioevv02Rqmd+u9rz3221j5n2vj4ISTBoO7f5e0ij1Uelx28+UgGAhZIyXCKcDSQHB/E8TzE5NPGaNaXV/zkJz/kt37392LfHHbH92G8RygH+733vSBQdy7gLo/BXcecEWE69Wzv1E9tG3TnPbnjmDOUtXNNO40xVclEHryGTS1yo6xD79fOtRxokzGZtK9aQ3npfpUr//6lQibsU4Lx3nVRwBQixRPjBG9YNHVUD1tDZe1AMubVGJnAzaRc0yyS2pUh6WrbtpydnWGtjQnfZeuoX+gFbRuJZJFkLwSXFMpxha21lpPTE7TSvHzxipwMDxRd2yWnRBRmRWI1jtfeORZNE2Os6hheURQsT5b0fR+XXRtD328FDPlalI4O4ahYVkNMY+ccxjmWdYNzPYEQ48MqFZ3IElfbKgn49TVPfv4R7777Nu+88y7BO5Sp8S4RPUOuAp+c25FTyARbSCKO2F6GqtoSfaXNX5K043Bwed+8beyUy9hnk45XJ5bO1rKMfbbz+By32dRTtv44+V35Lo/nTeU7/mWxp4frSmOViGC1oW2v8EGzODlB61M2V+ewuY52osRVshJCfHbSO6czNwJoUfEHFclOFQTX96ACtjJgkuLbe4zvQEUVfhRCJPsUwRKFiyqkNjcWbaJat1BR7YwHAogPhJC4MmPiavnUf4h30caMxjAgKB3JZlNVhE2HBIZ+QFSKw4uOIRq0KUJSjOJLp75NqWyDRtFBcP1Qx+hAIPFHcXTXQUWKVpIEUQSlVeoTYjgHsR5xjqA7dOVAR+WyqReoSMfGQPfBoSWwFOH6vKXfXKOtoVGSQmUtYJiz57E5Gyr5eY81I+9DfvazmBXs4hi9XiP9Bre5ZnFa47s1QqCql4Q+INKm+UkNqiqtuZsO2TtiP1+WiO0JOzGbIH3fJdv+F/N+fq6wEnch6bYdTFIGiSd4R991KTB+fGiDi0tn8iDovSdIfJlsbVFaUCr+Q0XFjWiVXladXipSHD5N7yx9H4A+LmtzbhiA+r4jBGGzaVHqCu89FxcXGGN58OABJycnHB0tODpexEloinGstaaqIxHb9zG2jE/LaUXiQwWao5MTVuuWuqk5vXePt959G1VpgobgO7rVBtdteP7Zp7z49DGrq2ueP33O82cv+ezZU46OjoEYxBujaRYNTR0nctpqjIH7Dx8izg8q6oaaysCm7Wg3HUeLBfWDh9Rac35xQdd1vHr5Eq2JoTu0IQSw1sQYyo0MXqLcnwStwbnYQSgdA3DrYpArJhglQTXl0bzLc3OX523fsa9Tdp70jF/AclDffSdHHePuhy8Xrq94b/EuRqXYOAOhInHpeFLbD8vaCgcOkgaY8h7vdGBp4iF2O4AQSSpfkk5D7LLUYQsoTDwmxPNngmcqVnQmqiDFm5Qc/ymVr1UygmPyxzF5OtWxjpXCeb8yIVZ5bDTc40A8NiKnyODxece/70ysbvltqj1KlIk1xqTx1DnLssb1GxuKGaWRfIjQKeMf76v/+B5PqYCn9ivrOL7WfW00te/rkNRvBmLiMp9iobnNFb5roxGqLWZxTNU06LrGpMSpgtApRSWwWV/HZaoSyYXsNVd2G2qg7MtjzEDIDJGIoAi4zYrHP/5jjh9+hQfvf4P7b3+F64tXXL96ElXESkNQaJtUJ74flnHmc8D2ucyJWYfnXpu4OkSbpKgwmBQawVRViptvEV2hbc6oHpOxaV0NBqf3Pdq1XJ+/YHF6Gsdy55C+j+0YLSp08FT1IhneLraFioTaMMmUOIFzzmEkfs9xINXiGGMNqlqgqyXV4gRTH6OrJUbZqBZ2HTo4vOtxrsc7l9TdPb7vcH1L6Ne49TUi0WnVLBu0qdBVja0XafIe+83gPa7v8K6n21zi+pb26hVus6ZenmDbDaFf4zdHVIsTmqN7KFshvqN3G4ypUGrkGGO6Xymxb/t44jjVD00+0Xd4B6fI6S8jhjEHHY2oPSbLPqfdwXIH8iMXm9YVKOJ4PBSTJi4hE8FRIhiUSjESBfGOvt2ArqLtpxS96zk+Po3q/WEKFcsb5l5Ko3Rcbn717AXf+Sf/hG/+1u/SLI6jXRVkG7NQQOlROYXjeNKe29cWyZzYR7Cnyt2dIN45bJqk+Txl7JQzrs/4elMb1DksQ7mfSiZTELaunTvU45btv5BrvKWIaE++/lzgSwelQBtsVcekb0qzaeO8MSpTEyFMDNOTxT7amKi+7bthvMlO1UwcK6UGUUOeO6u0qhS2tteiaQgplrFWalBP5ji7AE+fPInlmRqRKHIqVaJa6yh8Sqv1RIRF08RE6MWqvN45rq+vh+OWyyVt2w5j+mq1wnvPer1msVggIsNcwznHYrGgbdtIlEpqF3qc8xg0xmiOjhfRcSpC27U8+vhj3vvgQ0y9jKtzqyqqA4PfJkFUMfapTwScKWxZ5xzGxGS1maAu7f59TjiYnt/mts/3aGyPZ5tqynYux89D8+Z9c4q79FP7SOvS5hvPPcbH5uv6MmHHNlExebDvW/pugz065fjhu1y/eB6d6U0T1erOgXi0jQ6tqLCNjhCl4txWqRR2Iwmcgo+OEXEB8Q5rDcE0CCESsCHg+igmDN7hOg/Oo12gScmFldKgIzkdc15s74lIdvQkJwchDiEiEAK6UmlVWXKSQHKORHujbzfoFNYsRUnFh2gbKK1QRkezIAZBjX4+ySuok0sy2ROSkkgH8ZEzCtFuj6vmNEGpIVG1AF4URgliLcF3+ODYrK84UhBsjbcdtJpa10jboxdVGh4NpqrjtXeCtg4fPLrymGpJv75kc3WBFsEsNZoYhzgmVcljDcPfTFKHxGlA+TwLQYEyCk2FqRd07QbjesR3GFujU3gnpTXOtYSupb2+pFocUS2OQJmkUN5mCpnC+H3d9+7F7YLkLLLcfPfzK19V9XAdYyK5PNdd8VrkcHlBmTS6cXLJZinRg+ddmlh5FIHlYsHR0RE2B6EOcZDInhVX2SiLH8qTlABGQ5Jub7ONgohCS07womJwbbVVJWXCTys9xAbse0fbnmOMpq4bzs7OOD095uTkiKOjBVVtqaoYikHbuMTA+xzIO14LEl/09bqN8YuvV3TO8+6HH3D/wSkPvvI2x6cniIqxfpX3iOtYX15w+fwJz5484fLiipcvX3Hdtrz9ta/hVhu6Zy+wJp6fNHE2xrBoahZVQwX0KsabiVnJwaqjGDfRbnB9jKNzenIyDMar9Qpzrnn65BkoxWmKY2WMwbt+mIw7H5PhLBYLlI6diiRVp1YxbIYyKWA5Wy9L8SgzkAh3JIlu+z6F28i08T7x+/4Bdfe8unisx6/29moldzpfEvzOsedf/8ZXqFQRNqNQBuVLNiY6REJuU3YnqcNfFDHamBBUSOXE91UjIAHpOiQEbBVjLKkUNzP71YJSeJXjMalhYptDmWzbf1uX+P6rof6gYiZRtVVHKbWdMN2FVCivbWrSMiY+SuNxujPfPW6qDoc67vJch5wfhwzMcvtdyIZDBuihuhy6/rExWu5bEpCl4Ty+F/vKu/E8jvbbd513SY71pmFbZ0WOBLG5usCtXnF5/hJCjCVsmyPqo2MWx2eY5TGmWdKkSzVpeWS3voqxAQUW1sYEaBJSn85ASgz3J6n6tI7ee5eWl1hxrJ/9nO7qnLe//hc4ffgey9P7XL58guo3aBcIocOkd72qBK8K5wKZ4NjGP8yqJW0MJsXNlTyeaBMVw7YmoDH1kvr4LBLEWSmQ2ij2AymhW7/BB42hx3ctvu/A1lQS8D6qiEMiw3Lytq0iKBrSXd9hbXznrdFsWk+ziEnErLYobVFVRbVc0hzfp16eYhcnYAyuW+G6DSo4XLdGfHRaAzGLtevxm01KhNdjjGZRL8EolLXYeom2Naog6gRQzmGbJRIc9fER/WYNXY/4nnZ1werynGZ5xPHpA2TZ4r2jPr6HtctInLsOpQLGNIdJtYlnccppNoV9TqF8ntfp26a2fZne42lCHaYM/tKmGW8bl7cdj7c2c3RoRHVe79ZcX16xWa2AmMjxaLHk6P4ZCmF1cUl9dIxdNPRdx/XqkvZ6xbPPnrBebViv15yenfHu1z6kWS4RyauJMkkpKBHadkOdYmFfX53z3f/2O3zrL/wW3/iN34yEUVqKGiQmdtEpRt8WuyTnoefmUHvsxS3bb7VN7zDRKonfsf2xbywdz6V26jGaY+XJOkVZmfTP/emuPb7ddidjtTjfobaYfO/K3w4QWDvX9qWG7Hwct7tCoW3F2b0H/NwH+j4SwG3bslwuB2I1BGHRZLVwTgYdBvI1C6ayfZSPE5EhzEcUPynato3z1qTe6xPpumlbwBFkex/ruh5IXwmRFLbWDsRtrk9WKOdkbkop2q6LISycw1obxzNFjGWdcHV1VRzfDUrh4+OTFNKx31k1vFqtY1jGdVpeHgK2qnnnK+/z4MFD1qtL1qtr1i9esAge3yp+/rOfEURx8uAtfvf3/jLKBiptEALO9XSuR2uNrZtYB+9YLhZUg2p4q96NuQ+2ybjHJPGgfC5s1TLkwqE+uyR9S3J1HJJiHNqhPL607XMZ5fn2YXzsuL7AcG3589T1l/3Xl2XcHXME+bOto7OyUdC317TdBqXAVg3K1NimAhK/Ejyha+McE8g5G3RqByMBCZ56GR39ru8IXY/0HcH7IsSQRxsBnYQLwdN2LUoHdCJR62UKcZEcPxLUdmwY5uLEd02ijSuR4Y2Ji21NtgZSC0TlbgpDJi7ahyQOwDmHVhYJEpM1p9Bwg6gWSftmJH6veCa01gQnmY6M/ytiKA1iDGYxFYgmhBa8jysanScEz5oVog2N0YgK6MoitqKWCkVFZAsspo6xgpV4gu9RxrI8PUNphVtfsrm+xIqikkAVanS1AFMlNXHkCkL6VI49IjL0s8MzIzFMRIy/bBHvUtxkiU714FG1RdPgQ6A24DfX9ASUTcdIDhUUubJ4ztu5iBLbfW5/53Y5ml/M8Pp65HBhwKnhl23jZ2I4x06JnUw0WULocX3PZr1BQhz8CGFQLXZtS1M3uN7hekdwHnEp87eJyTxMegR1WpqiVCSCdQ6cHXxKBBNjLdV1zbrdxKDfpkKhMMamwU5R1wsePrzPyekZy0UkiW1lqBtNZUyKkaLoew9ao5WPSzFDjL/ddx7XezablsurVVIq95wsbYznampOTu6z3qzpV5fgHM8//YzHnzzi4vyKzaajbTvWqxWPnzxBvMcai63y8p7YftbalFTGEFygqeMAF5Pjpc5/s+FIhFY2tE6oFjX1JhoAXQdd63j5/EV8yHRMAigBbArZ4bsuxWNSnJycYusKL4IyFmub6JXwUUWtjUVZm4K3a1A5hotHqezlSM9JMTjdnQhWxOQ5eb9w42HfDlj5Xz6ujIX4Gs92Tn40mnzsGvNfjkFxCv+Lv/Ft3m9qkETkpvaJw0d+T9P9GqmrpwhODeAdrtvQdxtU8PT9hm6zZn19yZNHj/jkpz/m/r0zvv71b9B3HU+fPePq6hKto8rh3ltv89VvfYv7b38FMQ0oS9Axq7VRMWHe1tU0nrioQTWsyfGE4v7pQob6lgZdPn5qkjZcf/HboX3z3zFhUp53/H3f5PbQ/uPPwz0YqZ7HE+gpUnqKzB0vpSv3H38eh4sYG8NjZ9DU+cvrG6sQpuo9ZQxP3ZMpB9QU0X6XgflNwo6Brw1d37J69YTu6gWXr17FCeRigV5f47oV+I7KddQnDzDNMZVET3cQoRJPt75G+g5vK1StUd7FfkAByuycM098yXEQg0eljMTWWCoduHj8MfJWx9H9d3n47jdYXzzDrV6gXKaRhJ6oOPRtNyTIkbR6KCp0QZs61pOkNNAarQzKxLHde4+OIRTRWqFNMyxfo/BwaW0Q0RhrsdWCanFKt1nh2gv8ZoXqO7zbYIKNakbncCEtmSUb5xqbDPJMoMb2V5gqJrETFRXLtm6wiyX18SnV8h5Kx6zrvrvGt1cE5/CJuFXiER8VxD7EpLQhJe9TWqOrJhrLR8doa9GmQikzhOhQOmWWtjHhnQ+aSmtq2yDe07VrdLtmvb5mdfGK0K05Pl1jfEvoe5qzh9i6RmuD61t8f42YGCtaqWyM53ATu8tOGcbj/UbueAI8xq0k0y3HjCeqbzymiG/22RfTJOIh+ykuEXdcXr7g+uoK7zzHp2esV+uoQHQt6+trjLGcnp7Qrdc8e/KEzUc/5sH9e/TdhuboiGq55NWLl5w9eIuvfPVrnNx/C2srNptIEK+v13z3n32HV8+fElC43vHwrbfw3nP16iXdZsU3fuu3+M2/+Jd4/tln/PCP/5D33vswJugRojJJK65fvuDq8oKj5ZLFyVlMnKN0eupyc03f10NjXbm9bL+74tAzvb9GexyRB2ZnrzP2ZFJ3X31KUnk4L5BFRtmRNFFpGNk2d6/UtszJI4e+Yk+56f5W9rUjGr55EBL5sEW2qUOa+777lff4Ix8IrkcnR6Ym0LaRuIxJ1LcJtstwG3nFa13XQ/jC0qGe4+F67weF79D/Ks1bb73F9XVcLURl0cZyeXk5ELpZ2Zpj8bqk/l0ul9R1zWq1inUqwl7kc7ebDT6EwQmljGF5tByOKVXM6/Uao2Poi1frC5pFTQgyOEnjHDs6TeuqIjhHvWj4xq9/i/sPH6KN4fmLZzz57CnLxRGawL179zDNknsnJ3z44YdYBLe+5vz8HG00x6enVFoDgcoovNH4FIIut3HsP7d9SCZJb7Ofc53z9U0RwWNStixrKkRFLns8jxjX5ZANu2/fElMrMstVXSVhPn7exqTylwW79VWga+zC4H2LDTFUiQ0xhq6ouJpGlELsAqPAOQFJKvfeY21F1TRYa+N76SO5a2zANAFCCrnQtXjfx7i8XRuFksqjbEWlopM1CjV8DCOW7TuTsz/lBECRjJbo3YnEcGGLGVS0Y2WrMB4OJL6/aKi0pm89mMiZDQkqJWBv9NdqIIJ3xmS17fCG+Zhs+ZMwhHmMhLX3nhbF6f179Bdt5IZ0gzk9RatI2K6dR/ceVTXo6j714niYcyidiVWDaRZ4PDY0cdUfAbM4wvU97fU5PrxAi0MvjmN4kErQVTVwHDLIiLeiOMVNcWFq5iTG0FsZpMTE3CE48AZTLRBRBN1CpaPQpvv/c/dfz7ZlWXof9pturbX3Pvaa9FmZVdWotuhGd6vZAtEig6JIEDShplGQcgz+B3rQi4L6CxR64AsYoVCAQSBCFKhggJSgIEGQTbAJ095UV1dXl8nMyqw01x67zXLT6GHMtfY6++5z82YBEOtiRtx7ztl7+TXNGN/4xjdaQt+jrRBG5LnZydt4sf66O4c8r+3zeafH+WHbF1uhx9BFvlGVJ0O2F5PSzsSJgHvBe5q2JWQGoVJaUtS0p/M9tArrLJ3vaLoabZOAws6gjCbYiFFSiTXF7WJ6M10VUBFrNM5qWg3OOHodKMuCg4OFXCMJaw1HRwccHCy4e+eEsiopCocrsgYRYMyQgpMISVKCQgj0PrDe1GzqhrZtWS5XspCjuHt0wltvvsXrb7zJ4uiYoihZX12Ses/54yd8/NHHXF5cs1yt6TrP5fWSruswMSEOqTxcrTVFWeJz2lDMVZ6dc8wXM0KMWCtgiER9DWVR5EJDlsvLK4wrqGYzeu9pu5ZNveGgO6Reb2hma6wx4C1FNePq7Ix+U4uGTe/RCuq6pqxKqtkcWx1QzipijCwODjHBoazFFBIVkrYV5d7XWXfBot2Ou13cbnya/91mbE8BoO1iP+2P23Pvdx6mg3Hf989e786E+RK0N23EEYlqVCi9EWXU2ehPKY2sIBiMXQnEpBFgjfhmxQff/Aa/+eu/zuXTp1ithB3hHKSA71u6tqEsCt7/oz+Qsd0N6eWSFh1SpFoccuf+a7z+zlf5s//UP01x5+5kjpExEZOSLIQ8kWsUoj/GWFBPTSb9pLbvfwpyD20KFO97z/vaPsNoH/h5m6M6XYB2Qd/pNreBBbdN/rvnmPbj3fPcNg6njIXp9U2/2x2vtxmJ+8DY3e93/94Hqu97L/uM5n33tO/8+4GVl8PIHdfTEEiho15d0W5WxBBZHIrmoACuiq5tBGCNku5VHJyKfpbWaDRdDnh2zYa2bQVwjEmKtGlDIgDmmfMPY2zQHASys1ugjaLdXKGtY3Z4h9nxPVpnaa+eCpCpFCZBSorO14SuZ165EcQQJ3noiyZn/8h4zgYEQxAjhIBRJuvlyky2XSOkTef8lBJKW4rZIUU1J81r+voa367xXQshgo2S8jbt5zoDKFHuU2lJ+U0p4Yw42koZlDUC4mqLtgW+qwm+I/hOQOCuFgmJJAG1GHqi93jf4/tWNKOzRIVxBdpYyqpC2UIMTCXMg8Fp09oQY0Abm2U/NElrcSOUplCaXmtmRq6nb9dcXjyhaFoOTwOEFo5OseUhtqhyamCE4IFsm6GyDl0eW5One5vhuW8N/SLtRQ3ZlwIQ3tO289zwNF/8Pqb9Mg761yGyWl2zWa9Gzf/VxSVPHj3k0YMHXJ6dCxljUxMzKWI2mzFfLHjl1Vd5+898mS4mHn/2KfdffR1dHXBweo+imvNHv/v7BN+zul7StVLE8cP336Nermg3G8nsy3ZnSoHZrOLo6IhPvv8DPnrvffq+Y3F4D2WtFKtRmuQTxmgOT+/RNB0ffPe7VKXjjXfe4ejOa3nNHxhI+wOG07Xstrn988CLfcf4R96n/nH30V008nnfw00AmeeAxtPj7QOWRrMwoW61x1/AmR3/e7lbGv4b72UyUypJCT86PRWGrzEMmpbN+noEJozRkpGptgFwHwKwZasOAPHAbrUT5qsxhqqqQG2ZqINMw2q1QilFVVX0wRNCpCiKG4Cgcw7vw1iALaVE0zSklMbzxCx/sV6vBajue+bzOVpr2rbNGEAageiUREZCrl8QdCmgpzDGjfIT3kuhqhgDRVFkiYmA7zrqtuX3/+APaHvP6ekd7t2/Q9f3pBApjOb87JKTe5aL8zNeef11vv3Hn/D+ex9QVRUHhwvmBwe8/c673H/1VQgdhVMoZdF6q3MMkgms9RZL2LVfd0GaXVt419a+DbQdfk51fqfA8vBzyl7ed86pHzL0mWm7zf5+HpgM2yLf+8DvgU38Mq+9kNdRBuxKo0yFs0mgQ3F+kTo4+f10nkTAKC1EOQ3VzIntBSPzXudxohKkGEQuNxWYaiaEO99D1xL7jr6r8V1Lj9SDULohtDUqRLwSYBitsnSa2MDGaCkAJ3cj7ykTFFMfaNoeC8xn+T7yWqqSgKJaS80OZTQ9GtW2GO3olCbGPjN8QyZpCFhMitkfkHMy2i4TrCUOMnBqzPaX64u5zlYiRFi8cp/1xTkuKZwzpL7Dr9b4EAm6YHbnFHd0j4PTNwi+o1ldYpzDVkck5VD59Fo5kilJNmBSIiVPkXp0mJP6lq5ZkcIlVQSbaxhZpHYZatByFuIDYzE5xr4x9BVF9kmMwWhFSImYRLlAupLY3UoZbDkHVdL3a8KmFrnbFKW+RwpYN0epzFietC9ie3yRsXebXf7DtC8EDofJ4FL5jckCOVkQJ3+PRkgUbaTVZs3F1RVX10tCiChjwfSkFOmDp247KqVZrRvQBq2z82o0rigE0g9RnLQoBuoUsDNGOl8IhuA1zhqqspQiGX3P4cEiR1kVrrAsFgtOTo4pq4LZrKQoLEVpSVmQJWVh7xgTfScSEqtNzWrT0PWB5XLFarliuV5RVhXHx0dUs4rF4QGUjvnBIcurK1aXl1w9fcynH3/K9cUVzaZjva65vLrGZw1jpdQNXSiAru1wzo5GgBKkDmUUs6oaXbdCubzQiiNeVHOKxSEfffAB2hpO7pzy8MEDul7Y213dsl6uMNYQas08KC4enXN1cUEIPfWrK7wPXJyfURSO2WzG8b37WOsoq5LTu3eYHx5SzRfE4DAmiC6Mzs76nsVzt90Ggm27z/M79e7xb3MIbi6u28/3DaLhnLc7IrLN9ruXp6iGwozs2jgFIafbZOMjQdZWEqNPxO8jMWlSCPT1NX/yu7/J3/4v/gs219fMq5L5bE7pHKdHR1mf8D5N3YCSMXn37h3qRgIpMQSCD/Te03UtD77/AVdn50Dk3Z/4CZqmkUWayP3X3mJ+eCIi+UJtJHqpeixaRJqIGaOgTPrfi0ySU0NrChh/Hii6a1gN59gHdE5/7n42jeTvGqK772V6T4MxN91v2ld3gebpd7s6aPuex/S5Tc+xz6Ddd/4XbbvHe55BPj3nvnnjeXrIY99OW4bxy2LsDveqtcJ3Db5ZolUU2YhqhitEn6ttWpTv6bsGrQUQ0sZhFyeYcoFWRow/H3Ax4nsBKC2K6DWmkFTvbYRdfigUSWspsqq3ckbGDFr04uDSt7Sba9zihHJxB2KkWV4BjWT9aMXR8QlXFxdsNrUIRSnR1dRDoavdsRYTymRgXHmS6tFG1ugUE8ruxTGefX5KgbLoYkFhLNgKZWui9xA9KfkxAyrla9XaonQOglrJ0hFnVjJZYghZuqLFh5rQ96TYEUMv977ZUDg7VjNJ+X5830kRneTHPmtzSr4rRGdYGZGrIBeMU3qwC+R3MfpzVe2UKy3HRNSGwhpsVaGKEr2x9G1D32y4evwpB8d3iMFjygZXzbFlIVrEKUnRwSB2RIwGa+d7577d9rw5ZN+8OzDddj+/bY5+mR3TaeeU58JoIz9zT9leVjc+2s53IQTQidh1XF6ck/Cszp/w7a//EecPH1KvlrkIVsjs+UToBZxdNy0bZ1nPZ6TQEVPPK2++ydVqjS0ueOfP/jx94/mNv/NrPPjwI9qmZnl1RVO3LFdL2r5Bp4TNBSFdUUDqMUqRvOfy/IyL83MePfiEoiyZL+b8wW/+Bl294bU33+T73/suwbecvvYG73z1ayyOT/jm7/0Ov/9bv8vP/sIvcefV1xnYR+Ja3M7eY+f53OZo3QYm77MdP69/3bau7a6zYzDrBY7xebbxrdvtud603Vj63HCPkAuOphuo7F5b6OZJt9erFClGuq7DZXBx2lNv2JIvMk4VUmH+n+imQBtOTu4wmy+4ePJU5NoGGyVB07WSfWNvAojWWtq2Ge3QQZ6hKIoRsB3kI4Z9vA83AL62bXG2HMFGkYsT7c5BKqLrtnIPKtv7w/G7rqNtW5EYnNh3IQRMZh73OehpraWpG0lJh3H8DiDsoCscowDe9aalqgoOFoes1xthWfqYdfQlWBp8oFyUvPPlt/lf/MW/yH//a/8tZxeXHM5neOsIIbGuWw6Pjvi1//K/xGgp7NcuoVvP+Gi14sP3v8f/9C/8CtXhIad371FZTR/DKJk3rEE+B7v32erPs//hWdLIri272/bZz9M27QfTOXCf37Gv7foT+4697/72zYW7/snL1vZhAylGUiZIaKWyXMAwNWbalBKgV8dE7DZEX4/5q1KDUaEHKTbtCL4XOzAIYQltpAaWNWhjMeUMVc4JfQ99i27W6M0Vvu9R1qFirmMVeuhE2kEbJ5OEMgTEr40xkkKUAvJBalb0XQdKAOTgA0XO7JZBONyZBg/ROmZ379OdPyX4QNQGoxHw2/eoTlNoQ9I5aJPnhCGTeJjlt5mmGmPsOOfEKPvpLB+JtdjSoKPHhh5tVNYDB5vxLKMSXF8RD+9Sr8+J7QZXWIw5IvoOY11+l/IGjK0AjY8JU0LwAVPBDCn46duadnNNjD3FfEFMkehKlHVihkexLzICzPDrEDiAgSiXM+dyBqM1E/ZvXl/Hx4vGaEef1mMGoAEIij41OCdrwbgiK55ZJ3fnit2MhM8LeG/H7K2bfe5xdtsX1xweDI3plexzIBSIpyn/urZFGcPi8IgPVu/R9X4Ec1KONjRth7UlKQWWyw3WWLS1mKajKCqckmGS8sOdMt4kxVxO64whWENZOLyPaD3HGjMuhK5wmUk85+jogGo+w1qLK+xWnyUG+hhAWdquZb1uaeqO1bqmi4nlZs3V1TWb9Ybe92IQHyx4650vcXLnLvPDI/re8/TRY84fPuTBRx+xWq5Yb2rW65rr5Zq27SUiYsRpR2kwGm10ZiyTF6+eGCWyqrKB7rKhYYwe5S9iTKyvVhjTMzs6oVzMuX6yptlscEVBWZb03tP7nrZpuDgLaFtw9fSSh5894OryAt/3nJ2fs9nUNJsNCiQFcDbDGMObb77B7Gd+mvVqyWyx4ODoCFfOKGcLlCvEqc2FAjOy8Izzrqb9ZKd/DSxpSZkyex3/3QV4PNU46p/d/jZHYdsG4Jfx583F9VljmJFB/KPfYn5OaSgYldsuuDYaCtmLDUmhEO2lfnPFd7/1x5w//JRPP/iA0HScHB4xP1xQzWbMrKUoS2aLmci6lOUIpMjEbjk+ORFjNwSi9ygS11eXNH3N7/79/4Hf/h/+zjh3llXJa2++xZtvf4nFwQGuKLCymjE7OmFx9zXs4hSUldRVQE1kRaY/h9+nRSKGz3ZBz+FZ7G7/PMbAvnPtm9x3qwDvc1R399lnwE2N2ykLYd/17F7rLttgd/vdsTLsv/vchm12r+s243XX4Z/uu+9cW8D/dkd695k97znuXuMXBbL/x24pRdp6I6xh3zE7OKWczQUsTIlKabpWiZZuinT1GmMd2hbo6ghVlLh4QOhbUpCCHLFPBIZibmJYimEEgxU1yAxoYzHWYkLWGSRBCnmCNygSvl2BNpTVMeXiVOoJrAMx9ahk0CZxeHxMDB2+bSc64ToDEhGt7Q3nUqotI1WOp/kO6vnv70Y/ngT1tKko5wWhmEnhreiJXqpKyzPIxr0yJLSApr7Fh6xj7IUxGfqO5Ht0CJldMASnsu0ZA5noCUoRYhJGQfSkKAXlNGpkJhtj0c6J7prW2Xgdiu1tiwaKgamAgZEg4jpJJxIBhayd5UzemS0aVOipV0tWVxcUfc/8sCN1a1rrKA9OcLMDYXsEYcrEEPDkwnV6kFzaPtsXAWv3zYfTeWvaBobSixzztnnspWn5sdwGao6bDfPh5LmnEFleXfLp99/nk/e/w/mjx9TLa0hgjUI5x8LMpA8rRVt31HVDNIq6XkPyNKsKujv4tuPNd7/Cg49/wNNHD/j6b/4uP/jgfVZn56w3KzZNnQvuJAqjUElRGIMtLdWsxFolGoLZVtu0woJqQ49valbXl5w9+pTDgyPaRgpnzsoZ333jm/zCX/in+ak/9wv8vV/7b/mDP/g9fuZn/xzOWk5OTjBFlW3iyeN6BjQZnhFb/yNtH+60r+7O888DST5v/RrarY7bLVPSPlv3xnVkm+tFgi/PHG/6/fjQbgLEtxmqz5xtst/uZ13Xyfw/ASVvXGOa8KMGB/rGHHzjpvZez0vXbtxGuvl5StjCcXrnLpdPz/C9FCK1xhJMwNl0Q+t1YPUac1N7NgQ/FhuaahCnJGCrcw6fJRUHBm6KCa3tWGTNOUeKUGa5B/L8udlsKMuSpu7EN3aOuq7H+XXQG57aVTEEmkE3H0ReIqdcD/rHXd+jUDhXCAmk7THGAWLX9b1H6y6zUh191+OcG7ONYwh0Xcf5xSWvv/UlDo5PaDuPihsabVHGUKbE1//w68TguXvnDqfHx7z6yis8evKI48MFp/fusLw6B51YFZbj01O6tkG7GUUGp2KIN8kyz7Fh99mUU+B8X9sH7E5/37VXd7P49vkv+9bP4Vp2x+Rtc93z7mW671Rr+UWCaD9KbbfAIDAWLYf8PJWeLBYp25RiL0rBN2Hx6wwPi7xDIASPoqftloS+IfpepE4ZWPJyXl0U2NkclzPXTDWjy4XN4lIAYm0cwXt830ntp7ZBGYcZipHGvDZkALrvWnzfSUHiIBIGg46w1hatTAbJQGxDySILbUO1OCL0vQR7raVZ16S+RyktZBEfmC0UutREpYUkNgCaetqHQBmLto6+bTETX03YxwqtIPY9vr/AqUBI4L0UrFVK4awTaTYCzZNPiZsVs8UcdCkayqYXIHyC6yQN2hU4dYBvFG4W6RuNTnBwqmmWlzTrJZDL6uXMOpRGWSGzyPtOktXINqi5OyZiHPzQQYdZ/KKY+8FggScUKWoIQqIT7EQAYVIg6hajZmPgISU1YiK3teeNs9t81zTpx7ft/0XG7xcWfrrNsR4nj/Hy5AUQY2bgBq4vLvnge+9JFdN8A1pJ9EIqtPY0Tc18Psf3nuvlSpyqEHG2IFEwKwqsBjVJddBak0LKLlLEak1ZliglLCfvA2U5THLyXVFYZvOSqiooCnF6h0rMSikikhbUdT113bJZ19R1y9X1kuroiFVdc3l9Tb3eUM1KFos5x0cHvPraa2jn6OuWH3z3u2yW1zz65FOW1ytW6zXnl1c0bUv0md6eNadm1QxrDWTpCmstIUSsSzkFp8f3ihQrfNeidcI4k69ZI5XH5ekbDU8ePeBnf/4X+L1/8A9o1jUS0TEcHB8RNHTeUzctMYEPkbOLc64vLjDacLVcErzPGlAFvg8sl2tCDPR9h7WOSOL49JjDo0OO7t7l5O59qvkB2ha5orwj5NjAGJ0RWtozRuNuP7J2YGI+HxjaHuPZz7afT9mIzzIQp313AIjzp5PjTT+fgnXw/CH+o9NuGDDyMm60ZycbBTFgkMqtl08f8fu/8ff4o9/9Ha4vLrlzfMJbb7yBImFLR1lVwiJKkRAjvmmwToCFED1129D7gLMFXd/jjBG9wSRgkW1bXOtpup7Nps5aZg3v/el3+OSDD3DOMqtKZvOK07snHN+5x9s/HjgymmJ+QkpZd1ypcRLfB0beZqxNn9NugYld0HhIsxr+ngIVU8PueUbj9JnvGoi7wO9t17/7fqfn32ckTq95V593n2G4e9zbrnfffe07xm0/9+37PEN3+k52n9n0WvcdazCuh99fhra9V0TmQBlihBQDqOxQiFmKjZYBuAypx2iLMeJMJTdHuxJXFoTOYbQhdg1RK5SHHilsNxQj3coFJQEnjVQCVp3FKtFRVMaSoUNikmITvl4K88EU9NqAcajgIOSoujZoLNiA952cIoNZarBDh/Vda0JSWCuR9+R7SYFD1ge1pw/u6xs3nCMgKY12M0o3A0RnTuVcPR86SRPrNsS2J4aWFHvCkOWTIkMhPWGLiAM/vKPhLNZYus7nYFd26jKcG2PCaCu6Zigp/GqMpODnIndGy5qeEllOYLxDiCprouV1NefIGaXRMUgVamUoihKrNSF4DoqS9dUZm8sz+mZFdXRCtTihRZhlpqxISRPaBmuMFBAxClTBDgpyo+3Ok88DPafBH9g6w7tBs+l7253bbjv2j2R7xr6BqU2y/fx2G2eosJ2S59En3+fbf/iHnD94QLdZ09c1VVlh3VCXQoMWeZCUEov5jKsrBSqAysGLnMlXuILX33qXTdPwg++9z/mjz6ivr6mbWjL7oqK0BfN5JUEQLRkCzjmqqiJkMGvQHV2oShzylFPjQ+Dpg8ec66fyHrUGbfn44UN+8OGH/Cv/9r/DX/rVf4Pee0KMrJfXXCwvUSFw99U3ZR4CSekMPX27ZrVaU8zmpARN3TArK8rFDGuc6JMrsqOc5e7Ss7be9Nl+3vO/+e6ev+49rw3BrkFC4Jlj/BDH3HOBP9xx0uDiThD33X4LVEWZy4Ijrl1Kwr77Quf64pf3I9vUjR+A4DiD96sUoDWzgwPatmbmLH30dJ3UdnHWZTJMFNAp+88pCQ5TOpm/fQgUudiUQlNWZZYqEuAiZj+6LCRLNuGJMdD1rQAbuWi7D4GqqOi7jnlZEqzBGU3TtBSlpe17Nu0GbTQ224cyTadRk7+sStq2x7qtDnLMIFzM/UYnhfdS2BxAqURZ2nxvgbISAPro+B5Pnz7FOYdzht73KC2szcpo2s2Gy64nKcU//5f+NX7r7/8u0SdCqVmtVujNhtdef40/9/O/wMnpKU8ePuDx5RXaFjRNzeXZY6yONJsloe9ZzBfMZgsan4hJwA+nNV3vhaGoNVti3/P79eeBycPnu2Dv8zSN9wU8b1tDnwf+7Ftbptc7zTqcnuO2gni3+Uo/6k0pIQ2OVmxKo2843WZqs8kUOgxsEVnTDL6c2G1t1+EzqSD5fnynojUcSCGSQiCGiHYas1nTVWvC/JDq6A7l/IA+dpi+wwSp34GRWjveewEynQRrhHGa5R6GjNucCea7hhQCWMkwS4jdrIwQNQTgzGClUaCFLOkOjlBX55RFRbdZUW9WaG2w1hF8wGon2XVKiFgMeSIp25kyQLDG4GPEWIMKjHVJdJYmiyFKpRGVRIojhDxZRoi5XIgp0EVJVzf4zZJOJSwKZVuR1ggdypbyjlQGLpRCmRJXDtiSogeiVpRKgXH0zYa6aSiRmlhG6Uz4UGhs9h8yeJz7wdAvNCpLaHqZi22RSSpKrkEppPjJ0E2yb4n4D0lliloSQlyKgRC9MLonzOEBo9jXb8ceuWNL79MMf97+/zDth6oKsAtWDJ+NF5UlHwZkMKVI6KUkzayqeNhIyoz3W42bIUI5pLyUpRSnq+taUlHalvL4gE3fUykolUZZdWNSHXQIJSqR5RicofeeWczpUDkF1lqDK9yEeQuwnbhDSHRdZLXasFkL2/fqeknTdHz62XfpUuLOq6/w8QcfcHJ8zFtvvsGX33kXWzhmBwseffYZ/WbNk4ePqFcbzi8uRWe49/ReKjanlCRarDV9Tk0wmvxsfGY6Q9955nORkWjbhtncifNoDVoJSCzyTZr5Yi6Vz6Pnww/e580vfYnl+TndpmW93uRI7OtsVmuSj7S95/zqirPzS2LbY+iwhRiwZVlitRkZXCEELi8v+eY3/hijFUcnxxyfHPP2V79K6AOHxyfMDhbY2QybpFokbFOFR2HwW5zAfX/fFvmcLnjPE8q/ucjdHnXZdx27+93a31+CdgMsyxPUPsNG7m+YRAObqzO+840/4jvf/AYPfvAR3WrFydGRMEicxWrNfFaNVUGdKyjLIjPw5b04J2nQ3sdxIRWGmhLtzhSYWYcrAmXocYWlbTraroOo6PqIVol60+ZjJJx2XHz6A0LfcXj/dcrDE3SxEN5cnn/2gYP7gIixP+TFdOgdU+Bit1LxLtg0LRIyPRcwfg77++q+vrRPbmH3uLu/7zvePqB0t+0ajnufzeR5TPf5IoD17ne3HWv3PgYj53kAyu42zxubL2NhDaXUaNBIzDXfc4hYq9DGEHFoIwHFBMTes1mviCRmBIqDu2g3wxSHaNeii04qLAcBdCzQK4WrHGTAMW1tQQm+2hLjeqIX5gLaoozIKGjcGB3vm2tmR69ycHhKsIr2ssVEQ0iZjaIStpz0jQkbZuqsAJm5mu9dCbyqtaTsDbrF0/1uG/fTbbgx94keoe839OsrfLsmBGEFx77H+44YA33XE3yPyfpspETIbOFBEiPGkI1CYR8TUiZxKKIxwjJIKYN3gyEv6XnGOnFexvvNZhS7gQ6euU+5B1DZsdEKVMoVnrXGJkl/PDi6w5pL2s2SZr3i4LRlfnyHte+ZnbyCq2YoIn2zxmVgwk0IvbcBZJ8X6NnXn28b97e1Z22Az93lf/x2yzx/2/Ma7ebhMyAqT+obPvrut3nv67/PxZMzuqbFOsXh0Zz5fCFsva4T5ywX+4pR1lnnbNY2HQoIR6xRdPWKi0cPePW1N/nj3/xNmutrNqsV9aaGlHDWYK2RGh7FPB/D4dygeWrHIGNZFrkgs6fvJVAS8lgY7kYAq56YEg83a/7GX/trfOmrX+ErX/sa1llee/ttDk/u0q5X1PWaai6Fadr1BWePH4LS3Ll7H20sZ08e8dH33uOzD39AE3reeOcdDo9OeePNN7n/6qu4shAGvXq2UOzQbgOKP69vPwME8bzQyXZ766zYwJ9jO76QXbnTT174u9sOt3MHajgO2+fhioKMfQI8AwzvW79vOdnLMXaf19TNJ5bSNi05rzikJFl61XxGWRWoGHHGkJz0ybapR2aa0prCOZRSzOczjo8O6LuGrutxVoq5KVQGZ1tQibIsGBZAZw3WWKIS+7VwMh7bthVyVFFiS5t9TkcKimitBGuNkSDvZjPasikMdm+WXNBS5K5tW/rec5DloYwxdH0/MppFbiZRVRVNXWfgV2QPJfMHUp4vzs/PZE4i0Xs/bheDZCVpq7leXfGbv/0b/PP/4l/k53/pF/mNv/PrnCyO+OqP/xg/+3M/hy0KVleX/NE3/hCjDcl7FmUhTEbvWV5ekpSi3qypNxsOqgWogM/BLpQWTVKtCNn2H7ilUyLBbntR/28EDsduc3Pdm9r2Uz9h7FM7tvUu6Pt54NL092kW3sAIfpF9d8Hjl6UpJZIAN57dYNCmPH5TgjGrLG+X60Ck0GEQ/d2BUayU2FY6F2XOBhrJR/qupW9rkpfiijFGjLUU5Qzb9vi6IYZIdedV3MEpKQaiDzR9C9oQYk/oe6nLZa3U3tARH4W9HLzISPRtQ991RB/Q1mCLEmMKitkByQgu1NbX1Oslqe/QKdFuVswOD5kfHhNjoi4eknzPYn5AbzWb1Zq277Ah0poVyhgKY3IGG8h/W7atTOAa6wqRIstyHYN+t2YoNC02TURlgNiDZvRdtA3ETor4hdDSNRoGibWyJPSSvcYI6mc/SCOZ6kS0gsIYfK1JSVMeGFxRUC+vWF9fEWKkIqJDiSsrAgljikz5iySkyLP4VknqGyUvdUMQe0q2zefOmNYwz0s/M3hlSEnmSx8AC8YJvhe6GlVUJJ0zN26Jkt421vd9Nv1897Pn+cov2r4QOPwiwJgCtDUkBdHLABLHquXy4pzzs3OpYFi3Nx3eyc9thB3apqMsPb7zLC+uOH31Hk3XYlJCTxfkJFHsqJQwW1MkBY+zFuusMK3y8a2VKMmg5ZvyQh7D9li+D9SbVljDm5rrDAxv6pp6U3O13nD31Vd46523ee3OXe6/eh9bFVQHC84ePaZernjy+BGbdc1mVWfmcUPb9eL8ZSDGe39DZ/hmtVoBh2MUTcLSSZVXobFD4arx+8GJNEahk2Feljx88oTDkxPuvHKfxx9/ikmKvu1YX62E7eRlx3d/7M9wenXFd77xTWGGGI3N6UcqMWpdxRhIJLq+Q6XE6rM1T54+YbOpWb79FocnR9x/7TVO7t+nrAKunKFdman8k+jlpA/tM8R3wawXNdZfxMm87XzPN9b3O3Yv00LZZ12t3dY0zSTCPyykoqkUujWfvP+nPP7wfcKmoW2DFK2xcDifURWl7GdEi1SYRQbn7KivNgQZlFI0TSMpcahRdzJkNn9KEetkYTPaULgW1xiapiPGhE/Q+0hUEVN7zs6vqJuWk/Nz7jVr7n/5x6nK+Y1M812waPwZYybaJQZmUV76UUqWizEquAf8HI4bUuYnTfrsrimpUcLmGNTv1e3z54v03+eBsbv3Omy/T0ZjaqTeHhR5loGwa+juu77dfW8bx7edaxdU2vfztorPu9rMu+9suta8LHpq08DAkEbaNXKvIQZCDOKoa41xTgDKDEL0XY3SiRR7SIry+D66KLHlQkDP0OHbDSkFQnaYQvDC7NUwLQ6lrYVUortWQEw8Q2UM37UYK+AxamD6rbDlAWZ2TLe6RvWSfhaCjHmtxbDt+248i4xFKXZhc4CXzCIWQ1OYACJ/wXb8Tp7R9LmNx3yOE5VSpNtc0S4vwTeEvsb3LX1dE7teivFZQ2EtfRDQa+ijdkzzFbDS2CH7CFKUIkApA+LGDJqq4gRaVxDCUFhoYD5K4aKb6+BQCCOPjUnA9Zmxq5QY0tkBQmnIskAqQVECJwrrHO3qmubqCSoF5keeGoW+9zpKO3ofMCZkQ3k7H37eM93/fPc/+y8Cwu2bi9QtjvuPapN5K02zM5/5HqbgkvTNvl3z0bf/hA+/+cc8fvAZBM/hrMLOSpxzFEWR+5isq8Os1rUCFhstMmTeSZYaJLzv2Fxd0GxW3Hv7Xc4fP+bi/Jp6U+eCz5rFrEJrpFCzlSw8rQUsjilSFoX0bxIqKFBSsyMGKSwlQSwBXELw4gwaYS2HEOjWS775O7/DB9/8E+7ePeXuK/d5/e23+dm/8M9I4MV7NssLHn72A+688hrzgxMefvQRf/L1P+DiyRN819NuakIMrK4uufv6Gzx68ICvfu1rfOnL72KNMH5cBt0YMdOBoZkBAjUBeJN8oPTNvjd9P7uf7YKE+4DDfNRnjjN997cFsvaOs93Ppk77znFuvZ7h8xv9brLd9NpgLC46AiwTpvHw/J47L0xth+fC6f8ENEWWFEoYrem7HmUUve9JyYx2sawd8k6ksLhkjN69c8rTJ41k/SiFMdJJm0YAV5XHZQgCQBeFMHlDEG1fOwSDcFhraDvZz/dRipeXhayzCg6PjqjrRrSDmwYfAqYo8L3HlCLHqJUaa5YURcFiPmd5dZXlD2W9KopiLNLl+/6Gf1sVxdihOt+zyEVyh4DWcG4A7Rxd7AlEFseH/M2/+f/ml3/lz7M4nnO+PCfohrOLx3zn23/CfD5nNp9xfHQkGQ1FiSvmwrwuLDEmyf7d1FycP6U8OMRoCcLGJBk/RVEhoJPYTfuy9m682s/x/3bXyM/bftcOTelZksYLBYxesO0L2j7PJ9ndpp9Iivwot733w3Tu2f1ewJS+3aBiP/qHMQneghbxtNIVqNATVJACjLGnqzf0XQMpQOwhdmilCH2kCQHTtVSzGRsFyVgWp/fR1YJi1uK7GhIYHQl4+q7D2oZeqVxrR7Lv5VyR0LWZhauxZYV2JQFFOTvAlTPWV2fE9pq+EcmI0LYiRdFuqBbH2GqOT+BsgS1n9CHgZol2s6HzPc53tPVaapkMGQQpYDKzPj9clLZoU+CKSJ/xN6VycbrEiGuF6Mc5bpBtBUNSEpQxKLSRItrBt8SuQzmRpsKW6ORRquCZpjW6mKGMIbQapzTalvTtBpzDGEuzuiT4nnZ1hbEVyXtsORNpCJPnJCUvd7t2CR6YkthBxoq8rTIiLiKmxBhCkuVQW7Sb03W1XFc5p5yXIpuhDTYlYuhRyoAyt65/t4HA/6jaFznuFwKHhzSSoe1OginJSxZmohgQ0YtRWJYzFrM5s6IQ4Xg6yrKkrjdyDIZ0JSmm0bY1KZVoo+n7nrqu0VazPL/g4GgOKuVUSzWm5dx8CAZnDX30RBVEHw2p9r110kTbSCk1AkIpJrouUNcd603N5aUU0Ku7luvVkuVKKrIeHx1hYuStt9/klfv3mR8sKGcVjx88oF6tePLoCcvlhs16LZpv3tP5HjKjyMQJyJRZSEkp2l6cYoVUenSIcLrowUhEyveyiLVth3WiMaO0QoUABCIRV1iqwrA8PyP0HqU0ZVXR1Q3nT55K1Dkqrq+u+d53v0dUcHh8AN6zqEoODg9F1iLryDZ1Q9dJxDpFjzaG1WpF33s++eRTlssls/mM115/xBtvv82rb7xJdXTEbHEojKj8bxAEz0Pwhfrd86IgzwOeBkdge5ybNvXtQJvae9xtf9eT47wcDmoIYawSXJblGKEuy3J8BoPsCiRi7GnW15w9/ExE5GcVP/4Lv8BH77/P7GCOsxJ97vseY+WYSsuUKfhEwhkpdNRnZoHLGkrW2m1KWgbzBiNx+H549sLg78djhBDwUfS5k1L0fUdzdc36/IxqdowpFpIexk1QDbbv+wbDNDOcA0a0kFIkqXjDU5pG9acOnFHbqLMcW3RFzcB4nCwAkjp+O7Cya4w+D/ydXtPQdtO0p/e/qxv2IqDyvvY8kfzh99t0iXeN5CH9aN817B57H7A7/fx51zMtLLh7vJelDVXKjcpzj1KSTjZE7JMAHZBQ2kgaVF5rUtTEriWg2FxfEbAUBye42SHet8S+Fhawl0i5SgqtG3Q5G9OtyGujGgHoQgDbKKmgaNHJ71twaJSTubOrV9hiBspRHd5l2bWo2IjEBZrkZZ4QLUIBb5TWxISkgBlhVKUsv6SHwm5ao1whwOee7vq8AMoWMMm7pki/uaK9fETsalSMdJsVbbuGnIlkXQFKCmFqrdFVtV17AO1FOiLlf0MKmmQyDdiLzA+DHBZKHA5jLUkZkjaSQmgsWksRu+H5R3bvYWvvDMpneePRuJX1S1IVU66dYJwhojBKUSqL0YZms6TerElKcWAdvltTzO9k4NrLHB4CygxA885z/Jx221yw+/2wzecFrL7o+X+U2vaeRijyxnfTFhOoFGk3l3zyvT/l0ccf8+ThQ4LvKQqLLoWRN8yhRVFswRa2c2wMAYyiKOz4Xeg8l2cXbNYNbd/z2eMzLq6vaH0HKqI1OGdwhaFwbrRHNYrCWYpCCsBaI4GMvu9JVtb5siwza0re7VBMKwQBanwI9NYQU6T3HqvB6MRmtRJ7PAYW9+7xEz/3i4S24+zsnKOTe5zefZXf+ru/zntf/wZ1vebqaknf9WIj9D19/5AffO8DQoI/+YPf58s//uO88+WvEkncuXcXouLOvXssDhciAZPEzrbOSZFNpYmT9UglPc4RlptZP/vWnSmIM4zv29rngUU/VJsAwGk49w9z/D0g8zP3cgMg3n8tzxxvp70skk63tc99d0n8mxijyBiWBToEnHOs10KMOjhYsNlssl8Hi/kcgPPzc+rNisODA1LaZteGECjKItvSovs/ny9ocy0drRUHBwcsV0v6XvR8Z7MZMUaaRtZ4Y4UNrI2laXuRc+g6Yc8q8QfKlHIWq6JuGhaLGQBt15EKQ996nj58iDV6nM+sMySgMiUkRnBYoaROjrVEL2nlVSYeaaDKbGEfAouqkvlhKKJnLXVTs9zU1NfXrNdXvPLqXVQMgr2HQGE0JkHoemZFyZfeeovri0uSguBFa9l3nrZp2KxXbNZLqoPjXPzd0fh2WDrHItw3gid7xvE2aLv/u2mbHmOQEBk+n9rMQ3bi1F79vDVw97yft+0w5gZJiX1jcJ8NPrWllZKihS9Tu3E/u3PTM+84Z5GniLKlZKg5YQ4H3xG9x2qLnWnCeomiJXQtTb1CkyQ7xFWYHDglyljwzYZls2GepRWMUZRHp9j5AWVXk3ov2fJdI3Wh2lYkHpwTuzL3nbapiV2ba4lYrCnR2mLnC2w1g+jpludsLh+yvq5lHGmV7WfN5ukDquNTFgeH+DUo3+LKCmVES36zvKJtahLQlaVkthvDdLIX20L0mrURwggp0ft2LCCtQkIZPYLEkH3UlH1n50RuzjlZj7XFZEZ/16wlcNa32CASOWZY0vJPnY1tpRTJlOiZIbqCpA2F0aJHjGRUdk2DbxtC0xC6nmIRKOYHwHD9o/ks50Dm7r6XjEGVVQlkLRvWxQSZcTw0O1vQ+RXWFRhX0NYrtLE4V6KLktj1qNihVUEiA8Q7Q3afbTwut7f43rf199sIUi/avnBBul32xnDygclx4waiOHTB92zWa6yShWLQ6+vadnwjengCSRGDpGum1AGK4C/p+4VUNreG6GzW5hMGrhoegJaUTJXYmeCnRdsioyB02hqwKYiOYfCJpulZrlasNxs2Tcembrm4vGK5WnFy5y511/HTf/Zn0ClweHTAwfER5WzGxdk57abm8aPHXJxf0NQdXddltqREA4uy5PLqkkU1z7p+kaOjI1JKrJZLjLEk1AgwSeRVFtDee/q+E/3h4LHJ5ftOGK3wJI4PD+najuVqzbwsiG1PA+jK8fTyHKM1PvR0rTihXddmrcVEWTiqxQyrNUWOumpjiLGnrCwHh6Wwh1OiqmY5KtvRd57Hjx9jjeHy4oKry2s2dcPh6Qmvvf0O84MjDBqrHaKfM3jMg6O0bbexNKYdfl/xsN39Zdub/Xd3PO0Cbdt9h5+7AYehvz97jB/1NpvNxsh+3/cjK++mMTRsrUhEmrqm2TRcXl7z8MFTuvAxJ0dHuJBE+qEXlsBsPs/GKRJpyyw5o4Xd1/e9VDKeyr44N7KHBx3fKXg76BtqbdA64ewg7WBQ2tB2nnJW0vWB1dUVB6slsWtRthq1hW5zwrTWYxGKmCREYbVCxTi+8ueBk8OxFaKvnGIci1iRMxTUMJlPu9C4trwYCDI1KneN1t3tdrXNxlNODLt9x9732W3A9W3X+7xj7e6775jTv3cDPrd9tqsvPLTdz3f7wfSzl8VBHe9BgTIGbS1F4SBrCyvtKGYSeEmJnOrV46OXyuJtS9NsJCDpSrSxzA5PmC0OoW+IwZNSRyLQt60EeYxBuwpUGtO5hjXeFg5XzUkx4r1ILfjeYIwj6l4q0VuDjR2+XlHMjzGzQ2Ynr7A5eyAGVV5bhF5lRjApxpjBZnE2h8riIeZq7UWZ2QqzG8bVvnc8tN1xk1Iu5KYSvl5RXz6iXV2iSfRNQ982kk6WpR5sUWTQV9asOOj1DbissowF7zSj/qLKoNON9yi/yNymEGaIMviQcFqPTLF0y/gYjzHcUy6wkVIamWpCgNk+A43OgSmFtg4U9G2PLWdUStHUNW29oag2sFpSzO+IUb2psaYgpZDn8v3B2M8LKk3b5wWh9r2/2wDll5N9uC1IMn6ybx4EYt/w+NMf8Ol73+WzH3xKu64xhaydrpDxPgR7jTFb538COkQvhZ1kTTb0PtK2jQRbizV107D5wceErid6jyFhCiFWmCHlPJ/HWgGLZ1WBdaKfF0Mc1/LtvYgtMOps53vSWrPeNGgtzGGtAsEocdx8wJaO1WrFp9/9Nq+//gYn91/j9N593v/Ot7k4v2KzaXj44CEp9PgQiNlhs1pJppsSMkp99pRv/N3H/N5/9+tQWO689go//XM/R3V4yNd+6qd45d592raVtFkF19dLPv3wI84vnnD37l1ef/MNDk/uYvNYjNzumO1b24a/b1vX/5HbjLm/TAHiAfj43F33fbiz361Xe8s5dk0e2TQ9++U/QW3f+x9s2bOzc6y1tE1D33naPB6XyyUpJU5OTvjan/kxvve97wE3/expYN9a0dTWmsx4tSglRUhJJrOOPdpo0InCiX8Ygh8DPrJGGTZNIyCNGoBmT1WWzCrFer3GGakNcnx0RNO2QgAZMhSSZKO0bYvOsowp++EhbYNSkrEgWsiSDWxYHBywXq9JGTAOIdwYK0opFrMDLq6vSEZTmsBxEfkb/4//hMPDA7SSguwpgXOW0AXQkXbTYNHEpLi4vGQxn2MQecngpfhr3za09YqDoyOpdWCUsIaVZDCmNGQx3rQnp9IQu/PALqA7tN3tdr+b/hu+H0gx07V+d/9hPt31h6e/T/efXv+u/XzbOW6ztYftXha7GfbbJmn75RY7Quo6JK1QxQxlK5S2eRuZX52LEHv6pkYpg3EtoW/ASOarycRIYwy6KPE5a8yWjnazodls2CyXKFdi10u0ddhihpsdEpoGsixLjBHfdUBP19QijZSvum9qAa6NpSjKUWN4dnCEcY7N9QXnDz+lWy1RyJqftCZpqNdr2uYTToOnODhEzRc09VJYu72ijxplHaGt8UpTN2vMXJ6FVsJgHp7e4Noa64gJdBJZuhA8RMkojDljVqVso8ZcLrmoQAlZLHQeYzRBSY0OUiL4nq5rsLbA9R3aR5S58eYg6zATozCQlUKZClsaAhqLotcaY0oKUwkTe3NN17V0lx3z4CkPT7OO8DYzcewvCVIMIns56BLf4J0LMVU4OVlwQitmB3fpN0uazVMhyqY01qSWoqBZTkMbVM4mTvr5WXTDV18kWPSPon0hcHgK4MCzhnyKiRHiz85SJNGlyPnlFZ999hlXV1d0XUfXiYE4aCklkJTwLFQdkxyj72Xx2KxFe7gsHKWRFE9nrUT7tKS5KbaAjAoRpRUmCTg8AFG7haNSLi7jQ6TvA23Ts15v2Gwazq+uWG8azi+uePL0XBa+yyvefOstVIrMZhUHR4ccHBywvl6yuV7z+NFjuq7l8vIqM3ylUwjr0aMTHC0OMHorJXF9dSWyETn9PuVnjZKUUmctMYU8yYPPTLIYAxpD8F0G0zRWKaLXWK2oioLetfgUOb13h9liwYNPPxVgPEaU8gQlOlil1qjgOTg5IkaRA1FaUZaOruvRWiLToo1VoLXj9PSEpmlZr6VYXQiJto189P1P6ELi4GjB0ckdZrOFBAZimOjXaHGSJgP+84zm50Vq94FRt7UXi6R8/rnk95cDHB4ivgN7d0j/GqLAw3gQ2RKZzC4urmi6wKrp8X0rjmZbow8LOt9TFMXYZ4vCoZSAvMbqzDiSAjWD86g0uORuGC9TIDglYR+NGmVKIdpQg86maIH33jNTCqWNjO3o0SqitLCkMj6y14mLMY4Va7cGl8LFhr7twUgqjSwG6UZkeQB25No1EVmUMIkQU67mKgamSsLYU3pS2VvdZAncFtmb/j015IbPdkHj6ef72E27x5i+79uc3t3tptcz7VO7i+rudTwPDNq9z91rmB5rd/tpUb3p8W4D1KbP92XTHB6AH0XEuoKinOGtw3cdtgjE0Gd26NbhKIqCFHIFZaWF/Z8C/eZafldQLQ5x8+McKFkT25Y+eLq2EePTDMzE6bMSY8q6guDsqD1sjMH3HRFFaQ1aRTSJbn0pwO78iHJxgkKxfPqA6MXI1QzvOR9dqREY3r5v0TI3rsQUc6rFEUqZZ/rWrlMzfLZvO0j0zYbN+SPa5QUpBpq2IXQdioQrSrRzFEUpemnZdogpYcykr6YEKkwcSFnzB5bE8LtSKhfnTTL/BCDPedoa5mWRmdLD3PTs/dzo2/k+QgjiLAyBp7gtLpWGe80G7HhdSMCuKuQ9Wt/jNy318grKBaHzhN6jEQaZTppoRAduvO9Jex4w9rxxv7vtECTc996eB/a/VC3btdvRtAPEDfcG1H3LK29/le9+69s8ObvAqsTRbM5sJgWVFWaU/FJKiXOqCiJbllrofQaHLYvFAh9WdF2P7z3takXX9+SFidJYrDNUVYVSClcU49xTFnaUsLBWijq3TZvHhdiy8/mcGAJaD3Iqck9mYNInmM0qrDX43uONz8WWPXXnaeoG5wquzs759td/j3d+8md4/e0vsV6u+PT7P2DddjRtj0X0S4sMeGvFWNArBinO6cqS1bXc3/WDT/n1Tz/hjXff5UtvvoW9/wrLpub68pKqLGmahldff42DowN+5zd+k//v3/j/cP/efX7xl3+JP/OTP8H84EhIJ0CayKPdJP7cYi8qcYxfpK9+nn27BVjVM/bNGDDK57v9qp45wc1jDuN23zbT42U/ZTjnDUB4d8xP7yvbQS/l2P1CTTR6k1ZcXV2yWW8orSV4kXnpug6cjNv1esWffvvblLnA40Bk6jrJri1Lx1DzJWbJF3nNEWs12ksGXVEUaERiQhYYAR9kDMtYWa/Xo1yhyFAYrI30eZ5wzlG6ghADs6oiIWxinwtnSQafw/eB2azC+yASdCGgjSY0LYVzlFYyU0IMQnDK179eraReSR67PsvdSXaByGP1XUdVVjTRM5/NmZmCz97/iDYzDH0UYMaHRPKBo9MD/qlf/mXefucd/vRb36RpW6qixBvPeh0pZpUUWO8aNqsl917JmEOKKMUIDGv17Hi5Tb7sGezjOevcdNtdcHfXDg+ZNb1r++5ez2CP7Jsfpvb3cLwpkL0rmzGca9h2es3TtguUv6wtu5Jie7HzHgCUEWrqOEcJkSChUWaGrQr69grrSnwuKjzYLdY5tB20rB0pQfIe7TzaeDbrFn0YaZ48JjQrDu68ip0tMF1H5z2lUiijqdcr2qaWujxkeab87k3hKKoKpQ2BQDk/wFYz2s2Ky8cPaZdLdAz0fUuH2Hqz+RxbOKL3nD9+yB2lKBcLZocntJslhY6cvvUVri6ecvXx96Tosw+kvkeVEZFe2MlWHYQVnCWkgMaBUkSP1OxQIhUxECONVmjjRNairYmxy1mDoLUlxB5tDH3v6dsGU80JfYeN29w50QbuZX/fk1LMRA9hAWvrpLCyAqs1qZMsjaAV2llYr+nqJc3yUtZ0rVBuPuI4EuTKJNYkmX8Mha/T4EtJ9jxGcIIUOtr1Ch96CJ7UNjgrhUJDLsJN6PAx4opZPo9k/8sf2/H4w6yLz/Ov/2GW2R86P+DZ6BZA2k4wKol2mSs4OLnL3dff5MEnnxET9L2kkQDMFgua9WbqvwjrResxoqeCfNf5nuVmw6wq8X1P8NIZpNPq7JDJ5JWQiMXgIJWz2VhVNSWJYqBEPzB4kZFou0C9EW3gq+sl16s1603H2fkFbStVU23bEtqOyjkOj485vnOH9XJJfb3kyaOnXF5csl6v6XtP8GFcBAWUE2eyyOxgFKOA//ZF3gRyQgi0XYdSkZSc6LUNaawpjbIYKoFRCrQUAKuKgs712MKhupblxQXnV9eyOBjN8fEx5xfnJBKuMFSuxDk7dqbhugejX1rK+m1grcuF6sRBKVyJ94H1uqZuGj587wNeee0+Tx8KU+z0zj1MUUJhsa6S6LZi68jmwj67g2PfAry7ze7C/SJ9d7c964A+C1Rtr0H0AF+iAOoIEA7jdtAoG8BY2SYDEiRSSJydPeWdr/0U73/wEU3fo0GMUSUTvRR2FKfRWodSSYrWOIN1BlIUrTSywSt8qGwECvsgxjhqAg5aVgOzWZxRj/eS6uq91I4lKXyMdF3A0GOcomnW+D7gYpBFaYjvpZTXedFNSkrmHZMKUtJEtYGmpt1cs1ptUK7k6PQeSYtTHHxk03fMFgskdV/AsqiQhSI0pL6GlNlLSVjDov2o0KpAKWFZ6fydQm3nO/UsyDptu6Dr9H0+DzDZNRb3Opk8a+QO2+wDr6fHv+0ab7u22wDw3WPc9vdt17573c8DfaeG/u7zfBlaIjN6jQUtTD6jIPqe0Et1X1QOjmiDK0piCNjCEdqA7xtMdoLajQVjKWYHKCWjxcdI8p6QPMH3hL4TiYOpb5+vw1pHsI6gIKQobNuk0CFiCweqICpN6muaroUUKRcnFItjTlzJ6uknNMtLUhwClQafncOxT2YJBqXBlRWmqHDVAlfNiehxDbytPTM+8jqZUsL3Nevzh/TrSxmrviMGYTdprTFFiSvLbORvzSSVg0vDMWMIueaqzka8QqVBY20nTTSII6xTLmiRIlrZbC9ti3mMqgNpCiNKk8K70o8HhpaKfmQuxwxAoyRNdlzQpwZWihweHhL6lqZt8mIXiV1L7DvRayxn1H29Xe9iRI+PYbjAz3/ut7XdoM1UZuafOEB42tTwSlJ+HZP7yXJGwztvmiVHp6/wlZ/7RX7r7/46d+YlzjqMUiTvcVU52mjGKKQgt/RxjcYrldfQks1G3qWzsi73PqC6iM3rj7YuF4+yzGZlthdEjqIsy3Gtt9ZQVjaPyyGDJqFUQmuwxgqzMTKCWVoLsyYmyQDSylA4Tdvm4AYJoie0gb629JUjxYjLNooJkY+/+x6Pz89BKULnqUoBsq2xWSYuAytuqHUAi0VF0RuMtSxXG55++CF/5f/6f+Ho7h02dU2KiXk1E9JJVfH6u+/yc7/0S/y5X/4l/uQP/5j3P/g+V6slP/Pzf25khB0cHmHNRDZq6I9pf7/Mw/jWQMeLth8KjkkiVfeiZ5uE/178fC9qc0+OKTrULzfA9HlN4rHyrmezOW3Ximxg28m4T2kkThRFSVVVWGNGnyqEQOEG4EQYw/KoIyH0aKMxWti7UuNDAGDvw0hqGOTblFY4V3Jycspnn34qjNtMlkoDeKwURmn6PtCHVjQ2VS7oBRRaS20DrWnqFpv1N21mI7ddJ0VtrWY+k2Lyzlnq2mMMWKOZz6tRW9gahVJJfmLo+4izAqY1raf3Pcf37/LKK6/xJ7/3h2xWNau+o46elBRd31G4grfefov/w7//7wsLU2v+5t/6r1ienYl8pTa4mUMlyShomwbftfi+wxULfMp2rpb71+omWHub7b3bhrVpun4NP59HRBi2m9oI+wgPt+23C+5O7dt97N6pn3Fbht10v32++L7PX5amlHCAx6labQNp47uWkHhGJbaf66l8pFYY50hJ5FlsWWCdg0zQAI0yEkiNKIgJY6UY6SYs6XxPvL6mSkegDIf3C9x8ge9b2tW1ZKuV1cjCjSmRtHBVi6LEFRUps+QPj+4wOzgmNC3nDz+hWV2jifR9R9e2I8mq2SS0L5gt5oSuYXVxgS0risUhhJ6uuWJdt7z1kz+P94HmwYf0bYvvWlzwMqGRSGl//7DO0aeIImERSTUhQhhi9MRsjyqd9cjLUsacl34VQiApQ0werRV911AETwi9FLFD8LEUPH2zgr6mayXrUUW5Pm1LlJNsP20qlJ2LT2IM9JpoHA4D2rK6OidenWGKCmtnaL0dCxElKgQAQbIjMT3aG7TVaCO2vUqe6Fva6ytSs4GURF85RqIpBV9IUufBKUhaiu5p49CYcTwN/fGL2Aef5y9vfe4ffqx+YXD49gsSJyLGPFHmdNR+s2Z5dYEm8taX3ub80SO8D7mycaDtpdK5QVJJdRaAHhgxKSqSHhw6T9d2bJqG2bykjDEzhhMqCcO2aetttM0MWmGA0qSQCCEKuTmJdEXvPV3rpfBc3VJvWlbrDZdXa9abDVerNYujQ5qmZT6fcXJ6xOtvvs7R6SmvvvY6V5eXrK6uuDg748nTp9SbWhZ4pXL1RkUIPi/uGazOkaaUtqk1IWuraKNJKRBQOGWIMWEM48KfkhSSiyGhuZl2Pfw01uLKirIP+N4TokSGQ8isUB9YLtcYY9EpYo2mqErKqsxg3QD4ifRAMUa0c9RRazZZK1prqTxrjMZ7ee7Oaeqm5urigo++9x7desP6+oqDoyPmJydU8wNsIcXqJnPNrc7+Pkdx398/tOF9C5ilRg0qMng99PmByfjyLpKw1fat6zq/Zykwl7IxpUPkO9/5Ll96513OHjxkSOPo2hZrDdWsIsaYAWZJdR8Y5kBONxvmiJD7u0hO9L2XCVZtU5/k3DKHeC+OpVxjO+quShqr7N/7nlnhiD5KleNcVHZ4LePMpFSOBkZS35JSxBQarSzd9TmPvv9dUrfi6dOn9AHeeOtdPn3wiC+982WOTu9RLA5R3uNjIhlZ+FEJGzquHn9KuzrHGYNxLjvniagU8+M7mPIOPodAUtrK53yeoTV9JsN2twGmL9L3bwN4bxs7nwe07gOjd69rypx43vUP2+wCzLuG7O55p8ffdw272+2795elSXAD0DkgqjVN00g66PyA2HdY66TzKyWsdlPiyuG5RnLslBQDod3Q56h9MVuIQZwCMWno16jkSaGDVDLoqksQUtbbpDXalWALTOqJfU+kwxpH6FoBbLQVQysFVmefsrl+yuLkPq465PiNr7BoG55+/AGpvgSDaJspMc8TCRUTaIubzdFlgZ0dUizuyL0xsORe7PmN/ZxECA311SP86ozQNcS+J0UBRTEGZR3WlaAtSlupgbf/pWAQrrCefKaUxsQgIG7cMoEGA1fej7gfEYVShmQcacwmGoy6IWsi5meiBHUDCXTFkF+oFwZ319K3bWZrSP2HZCx6YGcolTWqBdSOydM1K2GHKJtrAkT6bk2xOKKYnxAyYB7VUHRqmC9u9s3hGb/ou9j39/PW+N3fbzh5L1nb3v+eG9iiiXTrNdf+CW+99Q53XnkD01wLC5dnHQH2AAIx2TFI4TMxYiAAxARVJSCwc8XI/jVGAGWZd6EorGgcG01ZOWHN5HczbAfgtHwXQsC5AvxWMoqcjppSGIsIii2wPZYUfnG50A5oozk4POLs8WM++egjmnpD9C33Xn2N68ctVVWNtqlzblLMK4wF+mJmPYcYOVzMqcpCiBVdw4GCoBKxa/Ax0W3WrM7O+PbXv84bX/ky/+y/+Jf4iZ/5GbSTgI3vetq65uLpIw4OjyhnC/SQYst0zPLMOgbP79u3rYk7nWb4cu8+zxxrAD7SHsmJnXOlvN14jOn5JwDKM/cz/XxybfuufTymyrPaSwowvVBTQ7BLEZqOjz/6CN8L89b3QWzBTAKS4uiGFCNNtqPLskCRskSbsO+2TFFZCVy23WPMrHmlcrFJcIWjcC7bjxkQjJFHjx6JXFDX4QpHlbXzfS9F7Ab7XGQpkJo21mCcpc/yiCnBrCqIUTJY21yctsyBnOLggOA98/mMy8tLDg4ORLIwM/QPDg4ARsbwVDfdhyA+c2H5yT/70/zSn//zPPj0U779jW/xYz/9Zd76sa9ycu8uJ3fvcXJygjaGJ48f8Tf+5t/kd377t/nVX/1VfvlX/gK/8V//l9leCnRtS0yBoq8IvRT7auoabUq0tZLno1QONYvPgdqye2+zN6ffv0iAegrGTts+m3d33+lnOkv9TPedMnqnpI6p5MWw7669Pz3nNDP8Ntt/OMfL0nbXyXHeSWmc2rZz2XTe2+PbpJSJAWLjRZAaEUqjrSM0Xuw956RgsspST1rjjKMgUPgeZxSbek1bFGCXuOqc+fEJbnFA37Wo2FIWJRpomg3R9xgrBdeMdYI7xMT8zgGzo2OsK7g8+4zm8pyEEAZ630EKooNsLTF4fB0IWuFmc7p6yepMUx0cEHxPaTR1vSYExatf+XHef/ARuu9p1xuqRZfrhNzuZyYltU58L0C2dcXYV3TSGf8SgBmjCWiULdDKE31AJ0WuYQuA91LoLwXPKMwQE75eE+o1fX0loHPWHxep0lbu1Rq0FTKJLh3RG5xxxBTBNuAsC2dYXV7S+4jOgbLhXcu8mkBr2s0SbQtQBqMMKIvWkRQ6gm8JmzWp7yAGopdCgTHLU+rKZhB4KBqeiL3H9w1KF1gn8hpJaOxiW/P89f22Pr5rT8QY6XN29w8rv/YPpTl82zbbCRVJtdaaqBVeKYqDQygKLJrLJ09xnaSUexVw2dma3qxSWQBdgdCvtYDEueLxVhw9SXGcacup3taY7AAm6UxK0XsRvm/aLgPDDU3bs1puuF6u2NQNl1fX1G3H4cGCg4MFJ0eHvPrqK9y5e4fje3e5vLzk8uyM68sLLi7OqTebXIldjcYzbCfdLbiqRrCYwQiwou0nd5KyzkyWMY0xGwMAQzRymzpotJYKkYBoRCpJ/ascfSiZpwghELuezgeqo0NsWXDx+AnOifahKxzWOebzGdYojLE5rdCOE+mQ2jQyoitZUruuywZ+4vTOMZB48uQJTdPx4Xsf8PDTzzi9d8prr7/OG++8w9HpKQdHpxSzA0y1EMHvlG6wCX4YQGjaZ3YXuH0L+r5z7Db5/PlA2MvQbgPOQIoi1ZtNTo+xyEQcCE3Lg+9/nweffgI+UBUO3/WQwYWubTk8PMrVzF0uUCGgsFaikRaygWqNIyH7eR+yI9eN42I2m1HXNUVR0ffr7HfovABsn79WmhAiPnjILEDrpPqw1qJdmnQap8OtgRUwBDbX5+B7uqpmdnDIo/e/w3e+8QfgA+v1RvSVv/8pDx8/4lu/9zscHN3htbff4Y13v8L9N95icXoMsafdbAi+57tf/z0uH3/KfOY4OjrK7IdIMZ9x+tqbHKIxsyPQos1EuunEx5RuRKin/fU2Xd3hvvYZr/ucztsW9Nv687799o2j6TXvO+/0s2kxjsG43Xdtu3P/vrG8e937AODdeWLffb5M43h87sZinBO5EqVGzb6UM2a2hkAGXVxBoaBvQEdxEq21tPVGdPtTwveF6HZaRyoCKRh836BtYKrDN77rfAZtDLYoaXtPShC8x/cddBplNNZlZm0CFXv8puFsvaKYH3H86lvYasHpK69z9tE1iokDlQPNPkVKazCmAOUoqgP2FUXbB8Ts9ktxACKEnubqKc3ykr7ZkHwPIQBb3XDn3Ag8ayMGreLZglQxxlGPdNvPcuYPSQq5KTXqRg6B1YgSLTMtsg5ShO6mw5em95jIYPKwEiWJeAdJqYq+p12v6DZLSIGQpvOHxuS5V+f3GHMabUiBFL0U0TSaspLsoWazws0OKGZzgTFiIPkoBRCVEk33MSUOGGGyH75vTyUl4Ob6v2/7qfP2srRn5ym2Y3b0P+X7qEDFyB/9xj/g537lf8788IS+W4/24xCIlTVRjXOA2JpyLJF6ku8ko28APYR1NNing7OrtZZCdFkGzVo1+T07dnp7/UNhW+89bdveBIxzJp9UJte5/oihKEqats0g8lY+SiktusOVy+mehqIqOXv0iPVqSYiembNsllccHx9jVMpAt8yBA9kCpoDzpI5BCKKjbOaE2I9p7CkKe1Irqaredj2ffvvb/Md/8qe8/ZWvcu/VV1ksZmhr+OrXvsYbb7/NerWk2aw4vftKBj0HYCGNNsnwfqeAw/PWun027vD3tD0D/t7oYPm/HbA37yhXuc+Hm/69Z7/bgKJn2vO2yWOWtLXj/olqO+9DKVApcH32lOunT3DGMpstRLJwfU0MHbacU1UO5wyFs4QggcC2baiqgkAgElAxIQXWLSSRbNOAM5bkNCEmoiKzeEFpnZn7Mg4HlrArCvq+5+jkhKat6WNOyc1MSBR0dZNtUp19zITqBbwxRjJX+7YFBUYbSusIuQ6NSonKOXRZsVouWczmwprM619ZlqxWK0IKojPae/qmxTgrrOoUeOPtL/Hmu+8S+p7/11/7j/k3/+3/Nf/iX/qLHN+9x4PHj/n4ow955f4r/OX/4D/g448/4uryguODA95+8w1+67/7b/jKn/kqJ/dO6ZuG147vYrVhs2nQSlPYCmtKrJEilEkNQd28jieFVuZG0HFXhlLe7U6g8nPA4X0kj+nf05/7jrXPDp5+NtjW0892C1MPbZgrp/d0m7+8e437pNxelnbDf5CJMD8nsfPknW/n4HFWVxLIUXlcpTyPog0xaawrCcaK1FtKkHNWjda5pgbZZtWU1Zzjo8jy8hqtoO9aTNNQX19itKacHWOO7rKOnhjXQsAqCnzWvRX8xWONppwfCdHCzVhdXXJ98QRtFF0T6bsenTQhZ7vobLO1bUfXCPCclKJeL7Pf0GFiJPqebn3J/PgUMz/BX3yCLwux/9Kz8oY31zOV7VlHCmqUWdRGMhu1VsQUMUYII4UVVnVESe2wKGvoNNgRszTVYLd29ZK4uaTbLAmhJfSiyZwysK+1xTqLLRzadui+pfBzbDkjaEXoxZ9JwZN8j0o9oavR6RCSHd+vLFJgjM0+TYuNMyF7DOPDi6yrgMiCc3TNmrZt8N5TlRVF25DKOcX8kJg6UtSjlEWKLX2I2KIS8DkpSOrG3LPPj/68vj3dt3BFLlz9/wdweDjpbYDB9GLzlEc5O6RcnHJPa979Gvz8n/9n6LqOx4+f8N1vf4dv/eHXee8736av1xy7g2cmr5SE2dD7HlcofC/atl3bjRIWQ/p3Silr3waRWbAGrS3Re0m1JEGKdF6o3lJ4bsOmrmk6z6ZuMcZSNx3L1Yrr5ZKuCxATd++ccHp6wr179ziYH2ATnF9ecXl2zmq9ZHm9JPg0sm1HDZqsK5hSGo3VoihISMfSRuUqqRqU6BInIPiQU9myzh+I7qKRSaJtW6yV1KJEGqPLCVnQrFEUVjOvnKSzphltCMTlClKk3ayzca8yfq+FUeY91hQid6FUTl+S7wbHw4cgLO/8lp2ztG1LCOJkKp04Pj5GK5HXeHp2wYOHD3nw2WdcLpe8/e673H2l4/RupEpgq1IqWyJM02nfel7bB0jt9tXdbW8bcLtg2zBRyT7PLupfJLLzo9ASt4OE1hiOjo5GEJYEse+pl0uO53OeGk3f9fheqoP3fc9sNhPdbHK6SN5RntPW0NBq0BMd/h4MpgQUBJ+yDpowCQZ2vDhvUSqsx3DjeccYsEaKb8QQsEYm12EcpZQX9Oy4pRTRqae+eMzZR9/j0ScfU73+Nj/20z/Lpx9+xNMnZ9TrFmKibTs26wdEAil4LjYPePzpp/zR7/w2qqy49/qrHB8dkpoWFSOPH3zGvCpYl4bV5ZJ5VXF0fCQSGOYRrpzjYsTNj1DakpJ5pg8Ofw+G6D6N3X3g72AQ7hqGQ9tncO6C0C8KmL5IYORWRzZ/N7DXBtbX7hja/WyfET29h33nnn6+D0x+2cbttOW7kQq4ZUVv7QgESOAzoXRk4N6KISPpVq4C30mf9V1L8h7fbNAkQihIrkSnoaikIQYzOh16oseVJsCDykwGYx2+7VFRCuSZwtHWNSlkoCtGYbnGgFGRbnXGtXWcvvaOZPIYTUjb4IHOMg0KhbbCfNV2gdYlU/j71ud0Wx9IgWZzQb+6kDSw0BP7DqPEVkCbkdlotBTygKEA3c300jFAIn+M5zHGyr1mwzwFPxrWg1SWsQatLNqJQaqyxjLT8Z3xpl2gWyklhnRmJvu+JXZr2qYWhoqb4WyWCYoJ39VSMND7cXyFGDBa5EnUbE5ZVBADrpxjZwdUh8eiL6wUQxpzSkGK+OT3rpUV22T0om6m1O4++xddi19kjA4O28vQhnUX9s/jonUnL/vGfceIKWZs6hV/62/8P0m+2co1oUhJCytIyzHU9IxJ0jm1zkWsZgVKgzEiG9E0LYXz26r1uf9prSmzxJNzFqXFnpX+qreOMhLU7FthDY7OsxqyhoSBHELA+4TPhV1S0vQZDDbGkpIEifuJ7qiATIrCSaX4z37wIZvNhhQChoQlkkKPLtwNmaxh7hjS3JVSaHS+R5GBiklhjSVGnYvz9QOeK0EWZSi7Eh86ui5w/fATzj/5kESiqCo++taf8PrbX+IrP/njrOs1/5Nf+qeZHR4RtZ4AwWL/iEalYreb3maD/cMALmP/Itta6kZveD5oO3y/awfwzKXvPecXa4qBvPIyAkw32u71D77w5G+lFJ998rFofifF5eUVIQdnTbEt9qiVksKuITCfzXKgVOxcIVnYbUBWa6ZJMzHk4qeDDjHbrA5jLH3fj/NOyPbXer3GWENCdEyddfjek4KM9wQ0XY9ShtVqJRrkwHw2JwRJG0dnvzvm4pJa5Fuats31dAZd5DSCZMJsTlmSUIqcRu1JaLQzdG3Dv/Sv/yq//7u/y9/7O3+H0pX89b/6V1mtaparFau6oe177h2fcv7gAdZH3r7/Klol1peX2Bj55L33mBUF9++csr5ekUKgnM0hRlRSBC/M4AE0Zxy72xDP9hW+eIr3vra7vu0WUt8FZIdtp2v+4BPsFr3btXGm3++CvNP72K0bdXsx99tt7JelPeMTqZ2gO7KOTfa4+f4zrjaE5ScwKEpLdllMAWMLqcHRSV0e0aiVehoBsZcgYYyldI5QGDZW0zZrIQqSUCmgIpSzQ2aHp4QU8TGhDDizDaCrnEm3uHMXVy2or69YPn1E8h0pBJFb7TpslkoZngM5+N53HZv1mmI+Ew3iFLAo6qam87C6OB/nkKAr0kBG3OlH43HHn/l3rQGLLi0xbWtskBI6JSnynAu9GhSqcMQgBfgMAmynGEEpkeVBdIpT1+A35/jNFbHz+NTTb9Z0tcg5DAGtSKKYifxcOZujUyQFKTRIiliV5J51wiQPKYgteaNrC5bgspRWDMLCJm2tzhQki5oYiF1DX19Tnz2hbxpiTERr2FhHOT+gOjiiOjxEGScayyZnJBpFbDeQgmT3KZ39mxcfZ7sBnqFtiRY//Jj9YuBw7iDicsrf2wGTDWGAFIlaQJmubqhXa4xzzA+OMa6impd86cuHvP3uV/jn/oV/gbPHj/jv/5u/zd/9tV+jRKNUBogz8LHabKQqaivFYnyoCDERfNgCd1oqJ6cs3D04l9EPwFLK3yeC9xkArlln1nDddGzqhrbtWK/X1HVDlzUXrTXMZjPu37vPfLZAo3j8yWdcXl1yfXXNer0SNqRxY5qMvByRXIgxZdmIiLFaDMckoCpJjIPCOUIuIuAzqyL2g9aKzpXhPVrPGCLvYigMQNq26qssKAlrJPKkRBSRU+OoKtGDCiHQJwGq27ahcI7CGkorLBHnLHaQllAKk1kqA/guk1UaDQ4zyGEEYadVVUmMib6PeB/oupaHDx6jixmdT1xdr/hyhDv3FWXy2FmF0sXYk9K0X+1ZEJ/fTV9sUd8XbYFhEddDb5bruSUQ8rI08RluGiY3DA8G/z6htLyBFKHvW4rCgQ8oBc5KZWOjW2Yz0UUKUZgKhRr6/pC+dNNAGYpbbSO0GejNqZsCBMdxTIsxKVqcKcn5lcpOrrZY41DGUM1KIpqQEgY9vjuJikZMCvjNJY8+eY+zz37A8vIac3qf84ef8uFHH9HULb3vCSGijVQ4ns2P6LqOu6d3ODs7x4eADy2Xn33M8jOpzurKCoUUxlBBEYImJEPTBlzSXD+9IEXF6WuBeQiUswOUrUjJkVDoFCVamV/Lribubp/bZ1gO29+2zW1j5jYQZ/r37ra3GY+7gPW+ewBhmu0ar/uud5c1uHuc28DuXcN69/j7/n5ZmhoNW4W2Ba6s0K4g9b2w85SkbeuUC5nKTvIclMa4Aq00fduAkmwdFQO+XqOCJ/U5DTz0UmgiZ7loIBfVlWMOgQylYQAYjcEVBaFv6boGrMYWJZ7MAmDQ+M/jMoqeospOZkxxjHCnmKQwm1JYbSRFXWmK2Xx05PYZT/scrcm3QMI3K5rlBe36mtQ19E0DRIwVTfCUEOYQSrTKFSiGVM1pPxzGnRYnPoiO83bdUqA0ygi4mkLMah+Sfqh0Lp5hJLUsZRb4cFcDAK+UzjaWBNnyYsggE6BSgODpNxsgURyeYqoDtHUUrqBvalzXEHxHzGu2VtmGiwlblGhXoVxJigHrKtz8CFcdiJGatUGtK3MQQlwkCUgFfOgFyDB2e/1pgA+f33bH8JQQcNv2L+PY3V13Qe5l0BudfHpz7oqRxfEdfuLnfpH/+j//z0hdx53j2WjrT229oU8OfRSksrg2Oj9bAW2NNjinKEoj0mQxjuD1ALSaHMTQSjSMnXNZu3rioCKOnVxr/lzFkbgwpLMPQAQBUlSAyYXqtvJzIMHpYe42Rtg/ripp1huefPaQtq4py4qullobg8bwdMwPzOEig8Z930sxn4FdXZp8TQOjOYktzkQujETrFMlb5jOxP0LwIj3nPedPn9BuNlydnfHk8hK/bPjKT/4Er37pbar5AqUME4EZhvlgKgPyvLVv33e3OeRy9Gc/e6ZNx9MEHIGt23hj/z3H+ly7W1DAvf38meNm5/FlHMvPa6NVO1kfY9/x7T/9U2GtZ2kf7z1WxzGrzhjDwcGCrm2p+x6p06GJPmC0IuRaH1L4mS35SIG2BqeFOZwSJK1y5ir4TsaZBkkz73uxq2JkXlX4EDBW08UO0qSApQ+UudD0crkkxjjKzg1AmjFSZ2Yoar1YHLCpG5SW4lkyEWk5hzHUdXsjkFNoi0rCVnau4nqzpvc9//Kv/ipN0/GNP/hDZmVFWVQ0YcPBrMIoKbC+qWv+8//kr/Mrv/IX+P5773F29oSUoCoLYgi0dYNNcHV5zawsODo6QmXJt96H8dqyk7Pth+lmQGQ6Hoe5aV+x5xdptwE4++za3WNPCSDDPvu237WBp77B9NkP2+5qC++zn27US5ic62WRldj1f6bIgtwPeV7Kz2qMFG53uD0ILbIIqW/QthCN7vycfejRsRD7LNvAgUhSCmcLqrKgd5KFG7uGXokC6nVUHKAoqpLFyV3A0IWNZM+mgDKa2XzB7PQEV87wzZrN9Rm+2RA7n8lSfSZXJIwyI0lKKVlnxXbsMV6yB7uuZV7OWS9XBDTN6prrx59QtBc0aVvbwqT0TP+Z9iPpGiKMQLYhTB5QKrntOpQz4odAckigjMaVmhR7tFd0GWsYfBiFItRLQrMkeSGpNc2S1PcYLRkN3nsJOoWetl6PpJYYAq6MuKJC4LKY37Ngh64oMwsckZ0c7CqlxmuUYuATWy7b4Srmeh++o1le0jRrybbPmU9KO1L0rK/OaOolRTmjrOa4co5ypfgCxhC7QLRScFssKz3aDZ9nSj8viLPrBz8PD9jXvjBzeHBSBxdJKdHYzF9K+pgxhJgjlikS+w2fffgZDx+es6xb5gcH2ELYqXdfeYWyKPif/XP/HMfHx/wPf/u/JTQtMUSJhiaJYlpnUCic03R9Pxp4kq4mC++QwjrQ0AdmhFyvDPMQIz4kmranrlvqTSOyEk1D3wc2mzpTw3usNdw9vUNVVdw5PWU2m6OV5urykuvlkqvrazabDV3XY7QU7hiKa1k7SEpYBOwuSCkSohegKxuMRmmqogAksqq1wSQkoutEx01rYRu5zEIewFlh+d6s2r6V2QClFcY6KmVIEXy7pBg0rbTh3ttfYTafc3BwwCcfvMfm8gxnLdViNrJODo6O2CyXOGty5xLGpvgvgaaJ6CTpt6bfareEUDOfz6jrhvm8JCZhhzz+9AGXZxe8/uYbmJSwBu688ro4oDah9aCRxjhR7wO9hp/7Ft3dNh0gz9t2+G67KA6R3mcXzN1jvwztNhBxbMPkoUTzp21bYhKmQ8jaZ3XTUJUlne6FgVQIE0drl32EiKQym1GfiRQx2kBiTHET8DeIdmaelEMI9H1HSsJOjjHRdj1N2+X3okALy0+pnPJqraSCVwuMdQjIk6NvSopzpLbh8tEDzj77mKePn+KO73NyfIdv/IPfpL66JkWPUgJqO2coy4KTk2PRUCsrjk6ORcrCi65h38u9d71UW499T0wJH2LWKLWkBNYrLh4+oq07Tl9dc3zvFYr5IbY8QLkKyMCYvqn1tfu+5NXcbghuX99+kHe63fPe/77zTxeV2wDX2/afXsN0v+cZ1/vu50XOs/v554HCL5tzmtKWsZe0RbsKW1Qi6UPazlejAIGa7kxSuUhGZVHK4Lsms3kjsW2IqpsAO4AyGCda84p0gz2bDyljxlqKsqKPiRA6SMJMhgyTGEkZFcdZDi2FKXLwdLYgGQGqNZKalhI3QFRlhL2YdmylzwtqDE0R6dsN9dVT6uUVoW+JvRTJA1l3B/aAqDvkp5gSwfdiTI4AzzB2cj/TBtFxkIciOr8GW1V0TQPRoIykzatcUVnpgaVsbzAFBvBNqssrBm17Js8uJamzoI2lb1qi7xHNR0d5cExxdI9ydkhKYFZLQLZPwdO1NXSbHFTWKOvQTpjfKoPVxjpSL6lxw5otc0AurKO0AHi2EOA+DdImUpF+Cy59/jj+ot9P7ZzBwXgZm6x/Oo+hm/bFOH9pjUqR88cPKY0iacYggciTTdllapT6SAnMYoZva0yKKJ1ISUDRauYoSsPMFznTTliHQ1HjsfCV3mpuaiVFVWS9jnnImAwKZx3zDMoOc4dzbtQwHaQuohoA4mFd2UrhhCDpmsI6zlqsZcF6uRT5pt7ThYBVaiRdOFegFDeCCsZsr7soCnFO8/lMlotRGcjs+16KXWebRUCshvLgUArMpKH2QdaF9Za261jXa+rPeo7uv8Iff+OPaZuaZnPFa+98laOTO2OgJA1GbNpqY48gsXoWMJ62F1lDd9vzPv/HYaO+SLBmOHfMPuE/SW33zp95wikRup4nDx+jlaJrW5qmFbDPgPdSFLrre3zvWSwWWCP+c/QBV5hR79taQwiiHymZtUr0+QfgByEZxJhykBLKLNkyFLYbGMTaOYL3QqDSGo0as0qstbSxoW4blBo0yOW9aWPYNDXOOkKMeeyIrd20negFp5gl44pRLsZ7yZwZpAfLssR38l3wkSZ4qtmCd999m5/52T/Hf/RX/iPOzi4wKbHZNCzmB9TLC+q1SDaapEha8Vt//x+grcZYyVxog0cXBXUIHFUzVFGw8Z5uueTo9ITrvuVgVqGKQmo2SPVOxnoK4ztNAhRN7PFtRtOzEhM3X/n+APWL2M23fbZbpHW37droejJ3j8G8fA+71zeQ2Kb3OF1rp+eYXtfLAg6DrGWjX8sWv8pqEqPttS/7Uk0NznRT9hJAGYuyFlMU6NZhnKVrVmIPKjsSJ0Lw2Kqkjz3GFsSioigrYpvljfqOvi3QxlNfX6A4QruC49M7dOWMulmBUhSzGa6cY6qKvllRX16wWV4KWzgEQt9LUTwUyugtwTIMMo6BGCUrwfcdKLA4fOc5XByBNShnOL3/Op9dPsYMWUox3Qwysu0f20LCw/M1OwC8krlkAHSUzkSJbAukSApJspJHUp6RgnbBgxbSYb2+IjQtvtlQr9aQAsZKtgLKUhaVZLP3LUol+nbDumup5ocYpWij2LIpZwv2TYd1jqKsbmQ35zcrAbMs8+psidIWbUyOK2mi93jfEPqGrlkTug3FbMbs4AhXlFIUT4lN1ObCeV29wbcNtqwp5oe4ao7KWaBGafrOo03CGrvtl+lZ/Gv3PeyzF3b9+B+mfSFweASEIVPuJxok+aJ0LgKRSMRe0raM1tiUcMHz5MMP+Ojjj7m8XrJcrdn0XWbOFlilOD48YrFYoGLKDkoi+awJCHgvmqgj80Bto2MmC/tvdRi324AArgLseJq2p+08bdsTvOiiNc2aphXQR2vDohIm8Ouvv87R0RHGSJrNcrnk8vKS5XIpKUPG5KqzBUVRbFkYmUFpjJUqskpYXSlHqEIQI2CcnJUa5SFQIpJvjMEWDmO2qZRTbb7pwpVSGtPzYdtJtFFUs4LEATFEQpJndPHgQ54GuVejFAcHM2xRYgqH1eCsIfqOonSjoS3Oq8vgfI7FJSle0LX9WORsNoOu6/O1KcpKItHNumF5veQRDyiskcKCZTUWxzNOHFVy4YUb/e+WRfS2aOo+wO15C/tt33/ewvxyNDUCOoNReWPBzJO8pJBE6uU1pIDWCmcdrRK5EEgyzrIzZ3JBjYHNM0TWVB6XUgtSDFerh0BGNmSzQdrlYhdALt4oVZjrTUPvvYAbKZGiFFs01uAKByRc6cA67r36OtZVxHENUqItFSPNZsny8pzNsgFTEYqS64tLHrz/IQ5FpxVVUeGsBE5EyzAxm1UYY5jPZyO4E0KgrmsB2Potg957RSSyWq3FiO89hRU5lmbdsL5ecfXkCcf373Ln1Tcxs2OK+RERPVlE9+v47oLE43PO7Tbjc18RjN30s93jT4+zC0JPjcjh+90xtrvvrvbZvnPeBu49Dwwfjj3d9rb5YZ9+6csU1IHBqJUVWBuLsaIHr7MBOKR3335XSgozaiiqOdpYuq4h+J4UelKSQKMAG1qKK1on6VoZJNztNxKJNdiiIIVA711OJYtE39ED2kjKaVRqoukFod1IqpubocsD/OYKQ0InL+B20Fhtdu5Azrn76nYDJ+PngEqB0K3ZXDyl21wTfQ8xjRr92zESt/bM7gkm/X+3JUA7Q+gj0wKlvu+zZIRkBymlMqPCCPBuRMtVpqjsqE/0/G44ckmC2wpF2zbi0GUwLKQozxbF1fkZ8yQML1tWBJMo58do41AkbLMhbpYwHBsBGXROb44h0NedGNChz+DwZFwrQBmCMXgjFaFdMRdAmbiVBHsBPdHbALDbgLLd+ekGcP4j3CQokiagOQLMqxtbbL9KssYqpWlWS1ZPPsWqSKcTCQGUh+waYxQpBbQWdu9Q7DTWa6wSS30A0Y0R1mBSGmcKgovjur99tlP28fayJS4kkjNM1pSUtOgsJmHa47c2UfbJ5Xcl676xdpQmkf7NZE0Ro0HkxTSL4xMuzs7p227bJ/IPKfIcspbplMU0AbRSynJpCldYnNaim5wSWltCIa5PiEGyCUMglSVKBcyioms9PhfVMyFgTRCii++p25rHjx7Stp0wOwcfxFgOjk/zZWaZNHJBPjV4TuL25SStZ9b2fTbrP7I2ndf+YY9/oz8/Zy1VgxTCxBd7uZbe/W13iZh8PIAp69WKq8tL/KYm+qz5rXMdjaDHTNO2bdislxws5lgNKEXpHFYbog+0mVBRFMUYABlMmhDyHJ2SBOdycDH4lFnzkkVgTCXZpyHkrBPpg9YYutiPBfPkXhShlzW/LMuRMbwoDui951vf+hZGa7785a+AGgI1mq739D5QVIbYdfTZN04pobSmz5mBhSsw2tB0nayH1vD00RMun57zS7/4i1TGUhYF7733Hh9+9AMKVxBiom1buq6jR5EUfPmdr/Dxxx9zcueUX/lnfoVf+uVf5vGjR/zBb/8Ob7zxGq+8/iqFsxyfnnL/1VfpOk/TdGgrmXsSz01ZMkdG6zSIDTelIKbs3V2bY5jH9sml7bN1p79PwdrBxjLGjLKZA7A7tedvq0cyvZbb1tKpfN2+4zzPP57u/6PexGe8qfc8rDtCIpR1axpoHudidqdLNX4w2Nlq+HxgoisBU0XKIECQ9VabQEpByIkKsBZbVdiuo20aUkp0bU2MiYrIWiXmx+IbunmFnZckpYna4cqKUG/oVxvq1VWu4ePpupYY/Cj/OWbXxCGwGybPJIGKIrdqDL3vqGYVWhvq6wvifIGaH+M315RaRkXKEhf7AgzP+gXc+C4kGVtK6xvLhlKDjx6EZR3Bd4KTxdDjfcSUJX23plleoWNDU68Jvs04mxHbxzmxYdU22AE1vm3pNqKrbKsZTlui7+m7hhA8i5M7aFeORJXdvrOVaRIM02TmdYyepBK+6whdTd+u6KJnvjimOjjCuCrb3IK1uMUhKfT4rsV3LZFAs7kiho6ynBO0IakWW86JDLJvLwbN/uPEn74QOByHCWQAMCa8lwRjpIIkKWwxa9PFoCRiAlirmVcFde3wZYnK9G4dIoUtaDYbDo+P8U1L3/ckRJe373vRPZlVrNdrDhbVDSkFkEVtmPBHoAUxEIcFLoRA5wNN09F2Ii+x2WwIScDMvpeiK85YFvM5p6enHB0dsZjP2Ww2LJdL6rpmuVyO0ViX5ReG4h0qg7wqTSYQo0dttRTTaMQa6zIgJil9MbPABITNQHgI+fdtJHa3OumwcA1/b4HxHB9TUJZZvzin+8ec4kdKKO2YHR5JsY6+o3BOChTlNKdBd3IomqCTlp9GEbw47Ao9asYWhejKDu9mKEoQQ8K0DZum5uGjxxx9eERZViiVmJ/cITHHorI+47Mgzq6TuAsKPS8KOwXehr/37bf7+22T3+7C/KPc5DLH0M5N42ECiKRcnGl9eQEpGzu5yCJa0rO00ZmhIGzaECQ9Uxs7sn9QkFRO68yLhEJSlYFRR3hgAsUo+sKgaNuWpsnstZhGgFlrTTmrKKoCZTW2dPL3bEE1OyQpYT6lnDaiksd3G5RK3H3zDZLWfPvr32QWIr/19/4+BilqsygKymrGfD6X/hz8KI9B3ialQT/cYoyiqgrquqZpOmLn6fsOkywtisuLa6rS0SDF/hYHJSkE6uWSdb2irRtOX30LpQx2drjznvYDpMN307/3GYDTfabR8F1Ddt/2uwbS1Ai+bQzsHufzxuu+fabnuY2VoJTMfcP8+jxQet/vu0Dz7rX9KLfx2vO4UtpknTNHp3KqapJCGNNsi5uG3PYYSWlMOZNiMn1H9N0ItiklrN2t1EIcmYMyH6tx/WLUF7UkV+BcSfCB6DtCL1k8UjTWkbTJhVNlvd9cXXL8SiQqy73X3+azD5bZSEwIM1HsixACOlcAFvDr5jOBfaB13gaIvmN18VS0ytqG5D0hr8PbCvBi/IozrW/UPcgnGMEQCa6pnecrzCrvtwUrRpDMFpl1TU41M2jrGArQqRE0etbwnlwACpXT6RrKssRqLeyKlAiAUYrjg0PRs4w9+FwcVBkUApaV5QHJFvR9B4hmWug7QteSfE8MntD3Mv+pJMB6Llo0rB/WSQplso5ke2JoMYWkyskz8KNM0NAdh2D47nub9u99Y3GfI33b3z+y7bY5ZovH7p83FZnZUlCUhVTvTltSREop63WbG07+cM7BEZOsHrXV8ct2o839W42F3PLl7KwVw7FjjKg4FBLL4EISHUExHxJBb1ll0+CgUowg9HQtsdbStkOhaLHzlZIga1EUPPr44ejcTp+ZpM5v730AvwU40yP73ugcDCsKSqNHubQhiDMwK1NKeW2RdE6r5fn4IBJqm43HoJjNS5JKxKbncr3hp3/xl/jmH30d/W2LrQqSsrzzZ35iLOQoKf1tZk1qbFWhlWRuDLbtLnD0eWts2plfbnSnnePsbbs27M5+Nzd9NjAzzoOfY6eM17iF3BhRmT3neumbTHSoEQNP9F0vrHzI8krZd8rFP5XKTFofsnxTJIZAUUiR8Ok4McbeAB5Fak3Y/9v3HdFEVMpyRINdnzJLP8YcHA30naesKvk+ZjArS7C0bYvGMp/P2TSNFLxLEYKAy2++/SU+/ugH1I0UpltvaqwtZOxYK0Qh76VIU2YlN01DVVVi5282UkQTWRM3bcOTs6f8lf/wP8S6kmI251/6V/9V/rV/83/F/+0v/2W+9a0/FV1mbahDxBvF17724/xv/t1/l4PDQ+7evwcp8df/0/+U4+Nj/p1/79/j9M5JDsx4Vqs17333ezx+9ISf/Kk/K5nNKTGkuA/zoiaN+qi7bZ/9CDczSYeswunnt5Exbjv28PsADA/fT/3Q2+brsStO7NsX8Yf3Xcfz/n5Zxu6+53Ij0JgyQLMvYpUSSXkZR4CseXnNHLcf/JWEsQ5XFPiipG9rAFrfY5UmKY9KwiQOeNENLkpCVeJjIIVIyFhS3wrzttWK2eKQumtItsSVJYW1hK6l3VyzOj+nzwHMlAaJVSFzJbLEnHbPvDtrbcZhcuDBe1xVEhIQE65vuPzwEfHoLq9+9adYPvhAZBKQuS3tYDLTZzotWDjF5CLD4x36046Pl8QW7buarl2z2WwoygoKAcP79RK/WRH8hratJTveaDAWrMO4crTlg7Y47UBLdpsPLV29JnmfySpSKPBgcYybiQ7wFBgex0Q2ywUfY/SBFIIPyHzoSX1DvVpi5ye42YEAw8UMZdz2qCkRTYG1Fa7ych/1inazBO+pjEEpKcBtZ4vtGjuA03taYv8YnX62r32RsfuFwOHfPFsz20S+enrAG5URXFzlBU/Z7Djli1cKpS1RB4qyYn4wx1UGa8FZzeGiIoVA8l2urhpBRYhw9ugR1jlR38isQ6VE5kCino7QhwxMb9k+xjl8H1ClI+ROZJQixYBO0IVI30f6TiKcTdvQdlJluW1qYfJag0maxWLBwcGC+/fucTCf470fWcPX19c3GMPW2rHIkjFaWDra7AySRNIKkT3avqAQA85YdBJj22KkQu3wLLXCFWYEqlCgjBgCKiZSyI7BYD+rlCso5w4TB6bxNu2OnJJoiq0khTFlThnUVPPFGCVRw6BWYsAbrYhj2j6gPIlIqS1ad6hcQGxgTYcYSCpKhe1QULaO+azCFCXvfPUrfPj9DyElrDW8og0HR5oAaJfQpsgDZb+uyr6OPjgMtw2WzwO69hrEz2kvy0IpgMYQJWaKE+dv5QtjDKH3MuFZkRDpuw6fAxg+LwDOClhh9EKCL3HL6BMgSf4lpSirGV0tC+aggSTHlpQLSPRepBoGTXClBtkJOZ5zbvxXVRVlUTCbzXBFSbk4xJQLohJGndbCC4i+ZXX1lOX5OdVixuPzC84vLqh/8CllNcd3iDxm4AABAABJREFUkKyirCoODw+zoZ0LOlqTo3eS0guMjqRzNv8Tx7tWoFTAB0/fSepv2zSonB7bx8jiYEEJ6OR4/PARPijQjkPnMMVc2JJs1TqH/r3LVhja1PC88ZZfsE/vAgC37f88gAaeZR8MP/eB2rsaZtPvb9t/Gujbd87dc+we87a/X6Y2zlfIO9BolLUo6whKNPoHNmFMEZUMg5YmpDHF09hpxgkorbBFiXIuG2yD4TzMn8J6U2lIJ0/E7NQB6CjXIniulayTriV5cTZ9kqyZ3nei6xVEhiABzfqK8wcfcvr6u5jqiNNX3+Hyk/dyMBcIntArvNEUriT2LcZWpFFPfDCOts8IhmlNovt9vaRfXxPbFb6txSCOIdchiFObUIBbJYZrXbccFoaURH5hCwzLGE1KTfaV96Jz8DaFfizekWIkGim2k1ICo0lG0lmTViQyY2Gnv2/f+yDxIfaDVglnFM7oXFvBI3ZAj9IVIYKOCRMheZ/ZC0bW8JQgBkLfQAaCQVL3fDuAw51cc9Y09s0aYkAXlbArEoQs+2OcGO7GFeClGKGbHRCNI2RJrkHeZJ922osCYs9zbvUt+/zotcl13joNbRfj4ZZdKdJravRUtkXbYgx4vw0upNRnORIBHocxL2TC7fOaris37NPJz6mzNxZoVDnQi0JryRxL3su1aSQF15DlLvKtZnsiklA6Efp4I71ZihiLDqjS24BLSAlnCy7Pz3MqrDjgQ22N4dpiFO3W8dGmIbMtB6O1wRqdiRtimxurUWSwWxmck37de01ZSmEuSkvdemgjWhlmMwHwvPcUhaX3kZk1PHn0mH/rf/u/47/7W3+L97/7PrOqAm1598d/EgNcnD/l4vEDVstrNvWGw6NjXn3zLU7uvYIrFzBex4v34ymgfJut+gyY+wXWvnFfdXNeeqZ9geM+c53qZbKbn9+Gu5ApdgKKJ8XV5aUURjeWznf0wWMKx3xeQi7GCFJ7xmkpSme12NXOOVSCqixRSjNfzEla0fcepYRcMQYgtcg72Gy7ixSSgEA2B+wGGyLGiO97rHU0dS2SEtZgraXOvrC8WyjLiuuVpLT33tP1PV0Gsb70zpe4vr6mLEp8jJCzRAdw1Bg7jtHB9gNommZkN4vusSXEyHw24/rsnJhg2fSsNi3/x//z/4nTV1/l4OEj3nrzDf7lf+VfJYbA4Z07PH78hNWm5qf/7M/x6NEj/upf/WvU9YZ/41//tzi+c8KjRw94evaYq/Mzvv/++1RFxRuvvc7h4kA0mhHNZjX6srk/x5t9+jbbeepHDm2atbu77xcd4yB+iGip2vHd3QYET3WFd4NOt+03sLp3getdiYkBeBvm7pfJln6uT0Bedae+lVKQAin2xE6KhZFAmQLjKlC5aHESX1ZrC9lPHGTDBqlDZTTWyHbR+0wKKMRvtgVuPieQ8E2L6nuS7+matQRTVhqlHcV8Ttv3JGvxoYO+FWk032EStCHQd7lQMBqT64mYSXHl6Rgc7tN7j+8li87YArQiAH3fYU3Er8+oDn6SZnGMZCUKQBz3+Fm7Acsb+tiKMdC1feLbdxFDIPhA6D3tpqbb1MSuR8/m2HIGytIsL4ndmvV6CUrmJaWdZE9aJ+9PKTBmZPhqo0lxRuy7yfWAcQ5TVHJsI9KOA6l0clOkJPUYzNDvY6T3HcpAjErs4K6hrzek6LFFSXlwnJ+llec1EExixGrJtFI4TFkQlYG2oe9abLPJxUkVvjEUi0Mkc35P0GLaeScMg+cGhH/I9oXA4f/7H28w88i98pz//Y+/yp9/ZZ7jwsPEtHXWIFdB1lKcxjjH4viQo/uvEtyM2brhqO9p6pqLiwvW9Ybl1RUGTRkjquvHKspEUFYLYyY/RJVTQAenWIrp5EJoKPBtZg4ImOmjJ4RIHwJN29L3Hh+ETVFnI9VqjcoSCFVVcXJyzHxeonRkUy+5ur5gtdzQtu0IcBljxiIB28EggtYDqD1c51QCYhhIg76gThLFES2crYj8ULQk8ydxzo5aQfLFdtFQOhcNSDdTum8YlJnJKQYM4+8JEaMxxqALR+97FMLI0KN7ItqMJqcJRuQczqlcYEVjjOhitW0vhniEKhVsfIMzlsPDQ1SCuuv4w9/7fQqlcUqLbIeV9ICZBqO2TndicNCfTSnebbcxK4bv9n0+/Wx3YZ1us+9YL0sTneicyqkVxO14VeS+M5nUI2LAVdUcbWCzWWOMHWVTjFZUZUEKojMWc6q2zoWYjNYkI4zbFJIAWkoYTUNKt8qLhlQolQCB7wSM7vKCNzSRd5gzm5XMZ3Octcznh9hqzvG910muIGmDIqCjQhlF73v88ppP/vRbrK6WPPjsIau6YdV2fOWNt3n88YccVgvmi0PJCkKNhpgxUjBrcECH8eucG0FireDwYI5zBXXTidxEgqZtiEGYiNZ7WQBTYhYi8xnYsmB5fU159ojD02N0VRGwwlzI+RhDm/bFfUDt1FHcF9HdHQ/7ANjnMQJ2z7Pb7/cFXm473vMc4efd4/D9mKL4Ode760BPwY7Pu98f9aaSsEiNLdC2oqzm9M1mNGiGCufDfAlgjSIq0dCSIJCAOSkHyOXZ33R4xqBByn1y+HwQNUwwTc1USmFcQVFWqOSJfYePiW50ODVGEOlc9A0uH3/G7OiU6vAOs4NjLrQjpX6bbaAyWzx0dM0GWy7ADNrmchkx5QRuNTAmIu3mmq5ekvoW39bU6+XIyuq7XMAvJTDPyriklJgv5nKLaToSn53ztxkR0mTNdiMwnLTJBfdkndQmOxJDn8w2U+J2oHM0ovPfVVXmtOXIwFbTSjKrdJmQKuweayXNjvxcVOyFQRF7UhQAIfpefvYdyfcEL5rRMQPEqIQtC9HWMxatJUXZe4/vGvquRmtLOe/ynK6wswMJUA/idruo8LQv77nn54Fez+z/3G9/NNpgEz5ni4n9P+lfKWGrGbPFMcY4dFKoANEPNq+W4r8poJRFKdH/NUaCNoNfEczNLLrpdU3/TT8bx4MxqMwyMnrLGFZK1j7DUFGcnNUwpOwmYkijBMUQULjp6Ih8TYwCXocoTnoWU0PrgvXympSEOen7fhu7urEuyHMbbeukhRWdIPgwgscJYe1L8CkXm9RScFOuTfpq4UyWgFMYxVi4T+qbKKyxVC4SC8fZxx/yza//IX/pf/mr/Fd/4z/j4PsfkYzi9N5dyqLgsw/f48mDxzx8+IjVaoW2cHJywutvvsm7P/5T3H/9DWxZoZLJ2s4KpdI4ue2Og32263ObUtufW8T+5ne3jbHBTtg93hd0QPeu67dHSF6idjOQA9kHzWuwipHL8zPWqzVzo0bpPq001lgKW3KwOASkb0VF7rf/P+7+LFaWbUvPw77ZRURmrmb3p73NuV3dYlWxWI3EThYbwLDlhpZkyQZsSzAEUYDcvBh+sGEBfrCe7BdThg0+2SAsGTYEqAjblAhZJkWLLFEyu6pbvHW7uvecc0+7u9VmZkTMzg9jzsjI3Gvtc06JNO9WAGuvtdfKJjJiNmP84x//n7Cu7HECK9G0DdVktppLwo4IM+WYhQ1obJGVKCAyZHKKpBCkKpxLPFV0/PtxJEUh8qA0Wlt0VlxeXOB9IKYoefM44n2gaRuGfgtK0w+e2mavlZbOWyhmjrHEz7b4iRQfIgW+5COpdERcXVyUgqcURd9/7yf8+f/9/47N0HPv4X1+6zvf4d133+P5s2e4tuOrX3uH//6/9C8xhIG/8H/+CxydnPAv/9k/y/3793l+9pR/89/8t/h//MV/h1/7lV/hz/zX/gx+HHnrjbfp2o4xT4jVQSxY4pmStyvEE0RVUhYCeudSbN2tlYm6vEnOPX+9XRFbyCf7nRp7I2oGxtZC2GEO/zJCyGHBL++dY5667g4Ls7flsvPXmcfSr4qsBJRrWrfYGgtlphisdjWlGDAqk5InjltyGDGqFOHJEAbiuCaZFrdYoZSV2NNYYjCTId1sK58k37QqmV3Zr42zxKAxTUMTgxTyc2YYSgef2tK0mn6zxjqHVYbke3LK9NeX+GEocWMupAEm0pVRgtdYbYhq16Gu1K57nhjRSSRWc8rk7TUuNeJplSI5JRpj6S8vWd15jdRfoJTZ0U0Ocsv6/8Oiwue5NzlGwjgQvSenWNYMhbYdR6d38ds12/UlQ7+VolnbTHPNWCtxScHCascQihKvQHbtRKrBIF4fxoEWxnAtDE0xDFBnri5dgqFf0y2WjH2PUqOsd35gvDpn2FzTtR2r5VJ8s0rxQGQoy5zSGlTp6AByNrjFCdZa1sMThn6DthYtLdL4wYnERC4Y3S17vuCL+5jr57nmn/f4QuDwVo803vGjccn/7Xsf8UsPv86drIhlYAi7tS4oZZHTCozGLpbcf+PLvPG1X+D49HQCAnPODH3P0A98/NFHfOe3fov/9G/8dS6ePqVTGYJHK02npI3brlbC7CsDPsZYglfRO0xlM7O6eP4lWbx9SAw+iO7Q6Flve4bRsx1GbNsIld1YWudoXcOia+Vr0XF9fc3Z2TnX19eMYyClRNu2kw6U1tKKqrS03FaB3rlZhlJlMy8GMhX43QnO5/KliHG3EUiraxLdZmPEydnJpDhcvCdH8/K7ajSw16pdB1sZI1PFEQTUa1piDHJ/gBzDBOIJAD2rDqXM6d27XF2ck5JG2YwuIu4uyQweB3HddUaTnTCYnbNstlua4tR4dXHF08dPWKyk2HDvNc/y+AjdrMC14grKixvSfHG67bjtbzdVFA9BpPljX6Vq6U2HjDPRxVQ1Cc3STp21mhbQXBDjdrEEMo0zdIsOYw1DP7DdbNluO+yqm8b9HPTbCyCUVBrjOOwtYMYYxmGcrqm0sIukRMrCHEoJ0LLROSNmj6JnrQkp0LqWbAxuccTi6AQBtxBWUM6oGNlcXPL80ydcXVywvrySTSgGjo+P+PiDn3K86Dg9OUYraRVp251eOICzbppDOSdc47BFz0lphc6OEBOZEW0si0XH0IvxyHbbE4KwnHwI+BilPS/BkTa4lNhurtlcXnC6PJnaW27aCOZz+KZxO7X93gCIHgK28999XiDmNgD6ZcDwTUHnTc89HDs3PW7+Ob33E+Pm8LVvCprnv5sH1l840f5HfMzvWSrsPdsshNFgRJczx1CKg1IAklZSCY6ngL4kLRTGaroBGEbNr+UBEyXuA/wJkYOphVLXdUBkTBGjdgXREHxJdoxIHRiN8hvG9QXd8T1cs6A9usNw8RgdS5ttkV4IfkDbBj9e4xbH5DwzXc1RjPVyJPqRYdji+zUqDaRxJAxijleNt6akS2XSnkHW7GJP+Ml+QeW2uZnjbm4q7cp6IiC9SD5UkLB2b0jTeQ38bh6H+9c9TZIbReoj7ZLOw+dV8EC6uZD7MazJaRCpiODFRDOIMV8cR1IJzoGdbluzoFudFIaMQxsBvm0UVs3Y94QwkNcSSMfSbdQsVvhSbJ+P3flx29z7rCT1Zc99lY7pmpTigIRku4IOiLzL/UevS9vnBYwx4FIihlhAItGlHMcRrZnkUJSq+tUVILVlP97Flbcdh9dYxrRope7FCBRwdTYWJ+mwCqbugRD196WQnPYl0ep5qcp8MprNejOBSvng3OZa4XUO1VbsumcbbUgx473oqZukhFE0y+DrzzutQqZrp4CeUYrWMWGtI/lUupfgOCd+9Nu/xbDe8M/9C/8i3/3Ob7PdjGzXay6fP+fjD3/Kez/5gE8/fSwSWTFwfnzGxz/9iPd++EO+9nPf5hu/8Evce/11snaoko7l2XV+2T71sr8LZp73AOKXzZr6+Bf269lrqPI6h2Pl8Lit6LP3mJecy6tw7Ep2dTwp2TdJyA4d2Fye43Q1b5S9j5zx24GjO3dwZX/zfmSMCRqL1uC0FHNVYfONIWCbZuqYqgSFOndqnriLVZG266kekBnDiEqFBWo0SWd8iIze44MYVeWssM4Kky9G1us1PkZCTBKTAyEkfNhijBZNUK0nbe6YPAZFVjugpubAbdtycnLCp6Ur2LmGvu8lRiEJL1ErvB/RRJxr+Vt/82/w7k9/yvPzCxbtgm987etF/gJ+57f+Dt//wR/hy9/4Cv/K/+hf5fjoBKuF2HH64AF/9l/9H/An/sk/wfe+8x1SyDx89AYn9x8whIwq5vYy3rPcR6UmM1wK4QyyYAgql5wJNHkC2aacGwoACD5Ix0Is+a82lPu0D/Qexspz4HfeXXFTXF2PQ7LF4WPn69k8Vz6ci7fFzvW5h+/7Kh1KiayBSGlmKgwoNcxCdshZGPvbS7KXTlatVPHi2MXQYj484LcJtzhBa4tSllTkQYO2WNdIN3zxv0pKY4yCvB9ja2tIwaBNg3XSyS6YTUSbQDKeOFq26zXLoxVawWa7IfQDKcg+P0YxljRavHgyEHOStYDStaNm+dXBflt/Dt7LfS7a+ylGlIXN9QVvvvMNrj48QyVPGcxQrt20bxszaTvf1NU5Pw67umOUuFN02CM5wfL4Dovje7huxfWzT/Gba/rS2d9VGazDmJ0yzhFfD9mroOymBbDNoDRZWxIac/gCdb1UipQ1yTSY7pjx6ozz589oFit5z5Tw2w1hWGMWC9rVXYxbFuKH3s2Z2RhEHZREtSFri7IdcezpN9csjiw6OvLQk7RB23aPKHbz9aySs5/v+CKx8xcChx0trm1o0Ny1HRY7uShPCxN1YRKgBq0Yxi3dakWzvENIGW0tphUGjcayci2r48z9h4/4hV/+Zf7MP/tP83f/zt/m3/uN3+D9H/+EzjrymFmuRDTbOotrGjHhKIFrTHPHY02KYbqsKSZiyngv1c/RBxHgT+KSaJWbGMA1MG0bx3KxIEUY+sDV5Zqh90VD0U5yEvPFM6VEyBmtLNZJkJ5zEY+vRZvJNMOWYFs2FpVz0Z8K2BnAJs7uopVirMYa2dyVFn1iPW1yCmctIYkO1csGRk55V0GjBtvSIpzGQRLYJK23itpGK4CCUvsAoB8GqYZbC6kkB1lYoClGGmcJQLCGlCWwzkFaIWKMbJNn2/ecnV8yfP8HqBQZhi0PXnvE6d2MyxmyaDdW0yWZ87Og9QAIO/zdfBOdJ9yHj5lfp8Pq6m0g16uyaarC6sk5IW6Sch0riDEPEJTSdEcnIlJ/mekWC1ar1WQsM4wDXWNKG1WGgeIEnkvremF4piSAhtrvKqj6PTlTwJpQWt8SPgjrPMSEsQ6jNcvlUqQkWmH0r46XKANRKR6++SVMs5A2nlL7U8h7L5dLuqMj7r/2GptNz5ikQJSbxNHqCKci5CRspdI6ZYqhZk1fqnTM6EUvXSk1AZQGUCHRZYUJwrbrFguOY+Li4pKryytiYWQkBpQynJ7ek88aAr7vWV+ec3L/dZRq5cyLIQnsFz9uBaZuCepumgs3BaY3vc8hmLM/Nm5ORm8DmQ9ZB+qFsfZy8Hj+cwUK5lqxh4Hw4Xsf/v1VBZbyNIEk0MxoXLekWawYwyAV/5LYpOynuZ6KOY7INsleo42B0oJe2TH10ldwmDzr0sizsZNSmWt1BZFuFkD2c+tw7VL2wmHATKalJZ2OIjOksxRvL58/5ejBm2jTcu+1N/ng/FNpi9WyhzvtZA1JgXF7Tc7QLE6F8XR9SfYF8PRj2bMCKkf8OBCHXqjFEzAl+5mi7IFqluAV00tTNdNzLvvoiwBn3QP3x3ABwATF4tCVWQgKVa+4dO5MHLp6fVS5bwX0Yjb3yj2YmEyli0dOoa4D5R6VNxRDwUT0PTl5VA6iTRcDJGH/xnGQgjUKVQr2FVizixVucYTve4xzwoDIoseatRKzva0Yf/TrS5QxWKVJbYdSAhoovZ9gHia8hwnuvLtqb+wfzoV6UV+RY37OagZKyl2Xe76PDctIXd25y53798gpc/b0qUgXhRITFtMSWRNlrxrGEVvMDrXWhOQJJZlsnd4BStIqMyV3L1zJWTKjKzBcvs/PW2LZKiUhH2AcJXasYzrGkmDXz1XWpbrv12JWjb9zhhAj19fi6xFjnGJcdcBG38c/d/uEgMWJ2omQXCRZJXI6NZxFOuaU2gHfwCSpBhBTwniJ+XOKpCwAkmtgET0qZT5598d89+/9Pf7UP/VP0XYdQ7/BaM17P/o+fvRigr3t8f3AuBXplrOnz3n+/JxnTx/zrV/8g7zzrW+j2yNUVntdBJ9VELmpaHvwgL17evi6058OXu+295peZx4f17/Nfn/rOb86U/aLH3n38XNOfPjBTyW+zXkqilgrnaLkhPdFgs9qGudQFH+XYhJa49G5VN48jpFuTTdJyLRtK7INCHO3ArSSh1LyXi9khSydBihVijuqgMAjw7YnDCOj98Qk3X5jCITCNqykrjov9WxfsMaWnenFmPDp06csl8sphq5zMAVISnSUnWuJydM2CxZt4Bf/wC/x/vvvcfb0jLDpeevNN+RzG0ceA2HwnKyOpeBc9kiVIierFb/+67/Oz3/rW/z23/k7vP3lt4XdrF/M7ebnmFGgC4hVYgUNoCSHD0lwjYysDfJ6unQ9KLTOZV8uXRRVGeog/3xZjH34+Pn3w/Oev2bFGuprVVO7m3Lew+fXwuJhfnBYwHvpWvMzdlRQ7nCznZfJFJBURqeAin6SaEk5Q4oE76nySkpFXNOQYsIPW2y3ICrRvs2yIVMLodKpFkjKYKwqe62MpYmQkcFohVclKq3jJSdC9OhoSN4wDJq2FRnWWLx6JBavsW2U17YWY1u5f7PCvCnSMvX+iWFlmO5l8omoIiEHeV+jccqiSOSCGygKbqDmsZxcQ1PWh3mB9TbcJMspo5V0Mwc/ksPA9vqCbb8RPeZ2QXN0REyJ/uKcOI7CGm4clZ1vbAWJ5boaY6VAo0zx9qDgDnqKsScMC11i8Zvz3pQzpmlBS2dTGzzD5pLh/LGsIa4hhUizWNIc38EtTjCtmNZrswOG9z1/xD+sJGkYpVC2xS1PCCkQ+g2jbWiURaGJvUZ1SrSLldkFXLNDz7q55sfL9vAvcnwhcLiaKTxUG/7YV+/QmYjCoorTN6XKlrNoLqUMxrQ41xLGLRdnj/n+73yPs/NzlicnHN+5S7s85s7du5ye3uH45JimaVgsVvzRP/5f4Fd/5df5D/7yv8e/+xu/QQ4RRdFRKaxEZUTXLqHLhCoJVUmEawUzpUSOshmOQ8T3gTAGso/oBMPVWoJpZ1Flc3ZNQ9t1XJxfcXFxWYS/mSq39fvuJsmwq7qOApwdJJBKTUYgtiwkYugRwUiLj7YGSvVFDO2KC23OWKNxTpiLiSTXQ9V7o6QFomiyzc9rfozjOJ3/XDS/siNRMwUWRamaqZ1eXd4NPqMUKcQCYKvJ6E5rAwZa59gGYXI3jTCqhmGkaxv03dMCVmzp+4FPPvyQ45MjvB958NojttuBcYw8ePQGjRKRdm2bXWW8HLl8ccNCVK/7TcDQyybPy8Dff1AT7x/Foabvu8/k7I6tMn/g4uiYbrFg0bWinWsdbVuCq8L6Ed3tbi+omK5XllY2Yw1oTYihtL2WtqvMxMKv80TcRp2sg1rm4XKxoGkauq7FuYbl0YrFaoGyigdvvc3q5A65SECQc6kNy3tfXFywjYHrYWSImTFCQHP/3j2unj7l9OE9kZ5RTHOiJtVa21mhq7bmyM9NIy04dcPS1qGHQMrSkjOkkaOjFQrF+bmsHSEmrGs4e37O8emKxbLF9z3b9RXDZk3rViW3roHEPqA7H8eH4Oph8HcYAB6O1/8sbIDDAPGwUvxZyexNr3d4Lrd9BmPM1LFxeNwGeN8GZB8G4z/Lx25OlW9KwELtWky3QPuOsO1JUZg8OZc2/yKlgFL4KOxiJJ7CdR3GLVDagapAY5FoqkF0Lm85gS+aTJyMTGVPq+7pxQQHjTKOZnGC1j2ZDSkGrBV9fVu6aiiMjO3lGc8/epeHX/4mbnnE4vQe/fPHKBsFuhllf0reY9D4eE5OBrvsSOtn0tlS9IITRevYj4RxJBVJFwBShBRJ0VO4JKXNryaEouGboiqMSC3M35xuHFfTfpMr3AyofZAtFxC3/LEEp/qA1beT8NBKWFfy6N38yjkXORFJTFPyU/FW3lBjdGWHQsaQtREZi5zxo7QrxhSJKUn7nu+JYy/aw1qLq7YV52fp6rLFTC9gG4d07pS4qzAzGu1QyjFwTfIDvt+i3YLRb2m7FTFVQ7IXE4V6LW9bm26bB/vg8q0P/Rk+ygScEpPd+NF5B7LW2LA5OaVdLbn64Y/JCcbg0UEKD4kt1om+YMrScZaLRIMWcwsyYlKjtSYGSV6MMTTGgcpYW8CEgzW3FnWntb6CgFAApVQMZ3eJYq5FDZUxRWMvRCErSBwunzclAXBjkmJwzImYCvNXawJweXHO+vKKwUcS0DRWYvisyIWMUOdiZDdPdku6zC2VFYwBY02RjiryLvWzIucsAPh+l4q1CmMijdYEFYlWYbMtSZ8mppasDCYkfvq7v8NvPPmYX/2jf4RuseSbv/QruHZFGD3JB1KQcxj9CDlzfnHBZrul345cX6xZX17yc7/0q7THJ2RlISmU/gzg9z/LsVeIeNnj1Mv/f9PjbztfVd/01era+XxHFVfYxRXPnj8jRinIoXLJ4/XEqpc1ORCHRNMsJ4nBOo5rN04F+WqXagXz7ty5w/n5+dQ5FkKgHwbariumyoZxHAsJKk6GzwmZg/0wMowjR0cn5AwxBYbNwDAMsncmKXb267W0zZdzqQCYK8UcAKN0KaxKYaeOk2qA5ZwYNFX/G9VYUh9ZLJekiOTXKEKI2Nbx8NGb/It/9s/wnd/5Lf723/pbXD0/4/d+8EMe3XvAl770JZJR/PX/8D9iOwT+mX/+n5N5TgFocyaNIx++/z7f/93v8o1vfZNu0ZGUMLF3Bbn9GFbimVykOHbDuBBHy5hNBTSSQrlKhaEZ5X42zhXgTcZEjFXykWKuuZOVkAJW3OtWPIw1bgfZ9v92E4h8qBFcc/1DksZt+cA8Dp+zml+luTsZmtaPNoVvs3yDRIwieZLRpFT0eKOfpNVyzGSVCF6Aw+w3ZAO4lXhnFRktKaCMWMCpWgjKVO1ishRmUxHr1EoKKtEYmqZFeYntFIkQPC41QtoLpUOOPI0bkJhcxmfp/s1Cdqg5OTlPEo3TvTS7zvXRi2nmOPTlOmW0EcNk1zZTTp0AlZOcSyEAGi2eGSGEiWA2H1eH47OSHCT2TsUMO9BvN7JOxkDbtjTLFYvTu2yvrxi3/QRkGy3yS0oVdrDWJd835GzIyuw6pmpcv4e/7cyk60C4aX91xYOlyvfZoxOsgXG7Kaxqiz1a0HQLbLtAuw50IZXlGsPvb7ACrc28wZAOA9ctSGFFuD6n316TlWFpDWQxH7Sdgawrn+8F8H1vrH+O3PuLxBJfCBz+Jx6OHK0afu31h/zBhwtUhkQok2cGVGhbJoIkISoLDfvi6WPGqwu2z57y/nd/l+dnF1ysB8YYiAq6ruPBgwd0ywWvvfEGb3zpy/zct/8AX/ufvMNf+ou/QdpsMNawWCxoWocxCqOVgKsU1klJOrUxRZNNNlrZPD0hBHypBoWyAcrAKYun0XRtR9M0xBjYbrdcX1+XytqOXTgxMPTO3VzpXXAd04uC74fC4NUEqIKzcxmKEAIoSnAgQbhzjfwf0Zax5sWNRlFcpLW6MfZrmuaFjaRW/6uDLFDcpeXnvYT3hoSubiL181ljiBlUEja0VLmlVclYKwtLtty9d0f0Wrc9wzDSrzf45ZL3f+89ttc92UPnOo5ImKYhmRbbdmAaav0vZwnKtNI3fi5uOPfbgKTbjsPXexUBYg2y8N8CMO6196NYLFeYrqXtOhaLJV23Jkdpr2qaRtj6GUISQKi2NuTSmjIVHECKHShUAYYry7EGw0pJEqmVYRh6cs4414gppTEsFh2L5YKma2mXDY1r0IuOO6+/iW4WNd0ABCCKKeKvzvngh7/Lx+9/wPryis3FJSlGnLOcPX7MUbegaTrG4GmM6IxrrbGutE5bkXmoAVHTNlQTEF06FbRztG3LOIbSjif6yWRFzgPL5YLNdsum79HakJJs1H5o8aNUWrdX15w/e8z9xQrTrCadRpl85VO9BODcB0v2x+fLgNHD572sIFKfd/j3GljO3/uwAHPbenH4PjcVbm6azzUZOXzdm97/8DwOz/9VmcOHgHz5JcpYmu5IHMgzJD+QciR5DwUoTTlL4UM5mXfBMww92/UlR3fuY9vllNSWFxZGbZzf45J4HVyvWDoHlNIoa6TtLFewReGaBmO0mL16jVGZ4IO8n9UQMjoMnH/8Psd3H9Ce3Ofem1/l3adPUKOw84NK4McCTim0a3FtR4oe7wd0prA0pAMhJ2Fs5NLGGYsZT9ngCwsrl05S+TwxRoy2O8YPRWsw7zqhDpOo3XirOO9NRZoS1E1cXjXpFMsxfzw1BN/FBkVXWM9fQ+0AiAr8K23Q1k1SXbKmiklKiiMU6Y0cs4DKsWgO5yQGKsaRtcK1HbroC4ukhy7ruICP0zqUswDhVuMAUmDjB0IYMWEg98J+MLYDlSZNuHrMY6LD46Z1bD4P9n9+NebvZwbk9WNM44hpOrqm4d7DRyxXHVc+TLGh7NkijWIskjjpem3DtC4DVGmycUSMgZuGbMG5okuI7P01/pzGZPn5JvDgZWuqPEcRgozjqmEdQtGrLnMyplgYlSJ3VY+26xjHkeADsSSiwzDQFDIGMLEmQeLdeiYp5xK7ZpRq0BkCkX4oa2I26FaVxJZdQWX2GvJckeGq5jbAxH6u8b+1QoQhBzGgfX7OT7/3Qx596S1CiCxPjnexvRajamecFNdzIgbPpx99SBwGxr5nu77mF37l1zi5/4ionRSobhg/N8W1Lx1eN+5zqiJku9dht94dPHIqCsxe9PBNXnoO5UTLY/Pne/zPyHFbnCK/YAY4Tc8AhIiTyZKTZiko1HhWSD4CRjVNW3K5VAzddnKDFfgVSbWdF40xhqurq+nnSoJarVaM3hdyUiR4IWWkJGIXwzAScxYWcUg0ruP6ek1MiRgS234geC8GTLXdvOSmtnEvXA+tJRd15fxA8vj5OdXfuQJyKy3ztGsXgMaPAec6Ykxom7h77wH/8v/4f8idu3e4/9Yb/PAnPwYF9x494E/8l/6L/BN/4k/y23/n7/AX/i//Fn/6n/ovg1LEHFBKE33gt//Tv8kPv/8DGmf4xV/6Re4/fEjIWYzztJoMsm4CTjOhSHIV9q22pcNWwLBEdd6prGFZrK01pBBQKaKRNUsbAc90acdPM9bnbp3Ue2NqvudV5vfh+JtLzN0Ub89/PmQS1/eYn8NhvD3//22A36t01MJ6RpadVOOqmrsQ8SEUEHYo8aMY9dZihgRoihgVOoFWkfOnTzh+2KAmIoYXkDlF4jiI2ZtzJKUgaZJhD0QVsFDiq9pNVgtBKDXtO6oAySKfJve+Fl1S6dDRqujTUvwrymfWs+LS/L4ZZyUfxpJN7QKucYTCOl3kHplwAyUXb/Kgkr1JQFRpQngxR3whTihQc4qeOPSM/UY6FUIko3HLFc3xCcY2bJ6/h/dbxnGQuNY6rGsn8oLSthBFNWiLJ4tUaSlqSXfULFYvBI3D/HdvrMxiXKM12lqyWoLRmO6InBLaGdBCntDGoU1TvEVKhzQ3XYddUTShJH7OGWWgW52QgniChGFNbFustqBq3FzLWTeM7Vvm7m3HF8l5vxA4/K/83CNOTu+gVURlqX5IMpmmQTudBJnoxQV72Kx59vhTnn78MWdnZzw9e86zi3M2fU8KIyomDBCi59PNmpQT7//oB/gA3bLjwYN73L17yjgajo9XtG1D1zU4Z1FaEWKYNugUd7IKSilykvaPulHFKCBlCKFUX0oAPWmdWRbLBcYYLi4uy4JSwTM9VXOnwLRs3G3XSbJc7qNSuxt2KCoP+3+rX/X/dVNIM31HMQNzWGMFGFZ60kbSRQe4LoDCQJL/zYP7+cZSz2XHemZ6DPV1tCoTbJas3TAu5hPNWCM9QhlqE6L8XQwBYwYjJ00DONfC8zNSSrzx1htcXV/x/PkZ4xgx2uBT5OFbb/Pg9dc5PmkZhx7rkrhCTpPnxcT8JgB4vhh8HoD3ZSDbqwgQ1+OmIMAU88dc+i61dRhncY0TmZW2YX29FgKEUiyXS5rGFcPHCgi7CUydjnr99gAR0f9JKWKtQ6sRhbiXj6MwHEPwGOuEneAcbXFuXyyXxAxHJye4xVI23mluIe+TIxfnzxn7rWgNFg2wGMWB9M7de2Q/EoKna91kmFFlXFJJXipL3ZZKYs5SAJJCRCmeaCXtLijGfiznIq0+OWVOTk6IKXO93jAMvWi0xY7JrDJl1pcXHG+vWbYLMjsgRZVkTeldpXh3Wb9YkPZFCxyf5/U/T4Hls4Dgmx4zB+I+z3HbJj8P/l927q/K8WKgpXHtETlHUIk8tsQwSitSSUqnBCQG4jgQ/UhjFJ9+/CnWWpalhbWyZYxz0ko3MRMUOc4SCD1PMBKkIIlPMXzarb1S4TfW0S003g4yp9HFHDNBjqiciP0ln/zke7z9B34d2x1z59FrnH/0PmaxIFlTZCYMOQ9Y12GcZbi+ZBgHdCxdQmV/N2Xfy1GApboeKZi+Twzog1bJlBLa5JLEFZ1vraZgL9We9Nk4vQnk2I3dHaB6E5i5V6BDwOGckX09FeMgKmglv0ul+F3PJcUkTErXoLSdPo90YGT8uC3AsHylGPBjT44Ba6wA7tZinATcGFuS2V3CAsLGmD6rApGyqGwZyUpSCqQwolNHDgFjEROkg86CzwMMf57fvUpzeG+tLN8TsCks/E4rnNa7DLaMC6MtD19/i/uP7tOvtyQl9957KS7mBCYmjMlTHAh5FufNjDi1zMkYIFpP2zqJKWs32kGs+ML1LQDqYdGuPj7GfWbZpNfIrttIzGsTu1FPiRGKPFzZhz/68AOGcZgeZYzZL2wza3XWamrZj166BVLOqCBjPEZf2mMtxigak1BWxvSNcOjutKaEXWtF13XSar/dFmaxJRbjWT8K82m93bBdXzH2Wx68/gbdYlEAaGlGbxs7jV9fQLyz82eEhOiUhsi3/uAvc+eNt8G0t64x9Tp8njmQ60D4PA9UB/f1hocd/m7+/8N3uTmOeHXmrcSr5af92ixysZjAxNppkzMk74vOfsAq2XMWq6UYORqZoyH6QgrasTmbZkHbSlF17klzmCPO19E5QzR4T/QBazR9lYaIGR8Sow/FkH1EKYv3ic1mLVqmMWKsYxhH2StjwjWNjH9ExCilYviekuwdpXDZOHmcLV13i+VyKgCBrD+iL5wLcCyFCa2kABlSYrE44v7DB1yvex68846wFq3m0Ruv8T/9n//P+O53vkN/teYXfvEXOblzj+/98Ps8fP01vvmtb6KUdDo8efIJf/Nv/CbPP/iQ09MTvvLVr3D/0SNiFlmtrA3S6bO7btUzRWst3a0aVIpT3K11ZtgOgKI7svTjIGA5ZR2KkZw0CgdFn9k2Tog0eQ4gCw7hDvRBa+41B9JrV8RtoOwcPD6Mk2/bF+cdPHN/ksPC3xyMPsyj52PtVTnmYN+EcdTCGGW9SkJwNE1HDgO5kAyssxPzuAoWKiVFQtV0ZEbR3laJEAPZe9Iwlu7thLaO4EcMYKxDFX3yCXtRGumP28WMFWeCAtQWCS/jHO1yQcxB7HkKeGm0JemdJ1VKWQDRjHSiz5ji8xzSWksq5K2sMmYGWLu2FUJIEDkNlJpY77JnUvLsPCv43Zwvvpj/ZWFmj72YGvdb4jjSD57m6Ai3OmFxesqwviL2G/EJShFrW5GOcA4qc9hIzqG1BlNy5a4j9CMmJ/QUO9+c974IqKrCqhbfTgUoLUZ81hiSK9dWF7UCbVDKFAxCYgnmcfIL+Wd9v12XvtEIZnZ0gg8iQeWHHuPakr/pG+fz4Wd6aQHzM35/2/GFwGFV9IVz1gjOH9inajMN7FQYKt73XF2c88kHH/HRBx/y0Qef8OTZc/p+EDq8NRytluSyIGstyYq1BqMFuGmNIm433Lt3ytFqxdHRiqbt0NZOAzcWbUVrrRh0oHZjdxrHpf2tfrFrq9g5wOoShFZtlp4YQwGySnW0XGNjzcQm8KOwm6rjbL0GMaUy4GQiKr0LwHdMZD27brtg2hipfBhjWS46GudonMVYPQUk5EQMYFzRqqqvM01apoQjZ6QVUKlp0itdv/QsmK/3UfR3tNo5sMqXBP7TuJgS0uKeqxXKQiRglSMraLQ4+ebyOO8jMQZQnnbRoq3h+fkZTx4/YexH+n4Ud9ym42t/6Nc5ufeA64tnhO2W4zt3oEsY26Kri2ap7iqQjeAGoPimQPVlAfZNIFYdLzcZhP2sH7cBdYdmZqDQrkFZAYdP75ww9AOX51fSrl2KF2JusX9NY4y4RtjhAgDpHSO9gkYaIqWdSksl3jZWDNyyMBJ11f8u3xMIc8EYiJm2WxRr9p1IfkqJkBImCwCSUqIfekLOExuubTsuLy547cE9jK1BGYSQMVYRs4j6o+U+H61W0maXpF22BunzwK2ygjUarz0pRbwvbH+raZ3FnZ5weXUNxeldhP9Fqid5z7C+ZHlyR9qN6tykrFFpxwCox02b3PweH2poz593eBxukrcBw7cVXD5vkWV+zIG5w+OwiPOyc62/u6k4BLdLaLxKAe7h5r9377U43yrjCMMGEwKUThqVM1ZlUvQYP7INYQJijDb4fiAeBTFgCBL0x1DD1fpeTDIWoMgxCdMBCUBVFgbrOHqMa2SegRhhFG1irQ1Nt0T5kYzs+zpFkpJCrlWa/vkzrh5/yMkbX+HOG1/m4smnxLHH0JIiRNVilscsTh4Qc+TqySf460vaxXJXRM3CRlRF802rCe8o4020GMnCWKxt5Kbu2UlJD6kuCVSRvEHJfipAu5nAu1059hZAUzajefwsYMLeY4sWskqiE1liDV0TkSzzX9pS5VpPyWaMgMK2DbZxKCMsLzG6sMRxDUGA4BQ8OXrSKEZ9msJsMg7TtIU9LEF3Db4pMYvELTut11RaKJWINtN2HfhtaZmP6BzlvaIna4uuc1mpvTXmcHwfztWXFYlepfl7CAynrPEp8X//ySf8+z++YsiKP/bGgn/+269x12lxtVZlfGnLyb1HvPbWW1w8O2OzHaXjLYi8S9QRkwzGxCmRqKCmKoV97/00znf7g8bHRBMziywgsRPHqhfPOUt3kM6JkBRoZutsGdQ5Q4xiWJlkbTBUI8hcZNmqjEtpUY5iTEcGbcWfJKpMt1jy9ONPSDESQ0STUSqTchQGrhbbrzEKQ5oo5zzE4r6eRbbNB2kXRinRlVQKrSJaBRZai2HiTMojqRLTSZYjhRNtMFbjnGU7SPtw1XAUgFgTQkZr8GFkfX3JdnPC9eUFb37lyzx4/RHPn50R/Ailk7FqtNf75L3n+vqC99+LRB8Youfr/ZY3v/JNjHMyb0ocPt2PG5LdOr4qiWMOjEyrlNoVHurP9W8v3cfnIAC7tGIa44eP42COzs9FvVpxM3w+bF0eJw+8vLrk/Pxs2pdE2kUVAFIkGJtSKBDGcCx5oLyOECTCXl5Vf18LvvNCTO1eBSQfDqKXut1uRXImwTAGxtGjlKUfPJvNhr4Xk+asYCgFJ6U11ggpQ4o1iqbk5PJlIUn7tTEaV7xBrLXC8G8cMQaapiGEUD7zrjOBAsq6piFlASFCHHjvvZ+QyPz9H/+IX/zlX2KxagmlaB1S4uTuHVzT8OlHHzCMPa0z/PS9dxnHnh/94Id88uknqAxvvPkWb739Fm++/RaRTAipFMwF0JZCZprWRGstIci16Zx0OPlxoC9FoPOzMxZdR6sFMFRVKiBlIpF+fc0mRrq2FSPvKLS52n6PMoS0uz/zuTs3V56DxIcxfY1pq576PHa+aS+tx2Fn302Pn7/efJwdxtIvK+z+rB8TSMhBHqyQWCVHsAvRB8+pwglTsSfDxMwlJzIR2wirXHwgJHYjyt6srSWkQJPzxLD1wQsTfZ5rF7BRGTXFgto4jJbOL43ItYxB4mvXLPBxQ/TC9K2xvPhdSLyqUKJNDDtfLK3JBTOSGF+uQ9u0hOLPpZSQCrXRItkavVwnBSonMnYijymtdxjT7ApXnKhe3z1CRZLYO/qRGOTLD1v6zRZlW1Ynp5jFEc3qmKc//TGb60sxrtcK17QY12Bcg21aIUJoi7HCzFaIzKlB40sGo9ROEqbe/Js6Y3LO5OI7EEMonXr1E0neT91/jcT/tuBpImlbX2mXh0xveUPuXcRv6gNI2mJcx9HxHfr1NSGMhKHHmJZqDFb325vy38P3+gc1R78QOJzLRKgnkKWPDciToVN5JCkJNX/Ybrg4O+OTjz7hpz/9kOfPL4kxsVgsCDGijWG1XJCi6JY0roFS8bBOKhhtKyzh1bJjuWzpFq0YvpUBKgNSKu+pJFMhh4lOb5sWek/VIxFX2Ty9j1JqAqGMkQ07BAkqa+VvjxGRdu2nVRi7/r9qPaoCPGctgJOi+NimjDXzxV0AM5k7c9dzCSBkU5W2tMYZnDXT83LRr8nM20eKCcG0Cxa2h84FSBd9uUQuRiJ5D+ytnwMqiK2msb6L717cLA4HrdYarCWHIEmoUjRdQ1bSjqeUx3vIWQwZUpb2BzEs0Dy/vOIP/OE/xn/1n/9vE+PIX/t//78I1xc8un+fh2++wfH9+yxXx9imE1YZpkLD1FX98LxeVtm6CWibrsfB324D5n6Wj0Owbf4Zbgwgiu5207Y41+Mah3NOWm6gGDMajLZFo0dcwReLbgpwjLagS5s6ZVGUXQjXOFKW9ramaYCNtJnmXYurUmKWY5wTBrM1WGPwwygd11Hau5TRZFVBmAw5TlrCqgDISSnQGuea4n4u86Sy7zMCLElCuxsvIQQJYlOkTEmsc2UXLNczl3XPiHNsCCPjKK12KUkyuO0HFl0zrQNiVBMYhgFtFXHcymZsmkl3VDa4nXzKHJCGm8f0TX+7bdzfFoDOf/f7PQ6fewgkf1ZRpn7Oz3rcTSD4bRvo4br1qszdw+PwXintaDqLdR05RwFsc4LkSWNP7lNxAq4mSxEfIq5pAWEJVW01SWbqXlf31nn7oxaPAYq5RtpF0OMwgBLDGmctRhXuezlf6xxaaUalBTgElMpEH9A58+Sn73J09z62XfH6O9/i6bvfw6aAsg0JxZ2Hb4DrSGHL9uoC/IharqjGr5TzSzGW/W8WoCJrgaoMnRoMzoxYauBPln1ca5G62YFtEsALFjZLdmf35XA/RO1glHngLEctoJX2+tFPrYMh7Rc0c9GTzQWIk9cyU9CsrUMZi9ZOumpyIgwbVAwQIyl4+fKDMJDJKCNxjzYOlC3FuhJfKD3tp3nKjspH0nXe5foxJvBcHiu6xuJvXxjis9dTan/+37Qm7OlAwgvr0is7dyVK5HfOrvg//fY51zQonfjg96651xn+2W89wiCgfy6Yq2mX3Hvjy5x++BE8v2S73U4soJgyOaTSiTLTroQSvxpSlqKI97GASoWYYFTRHGxLwifstwo87bHNsuj9hhjRaVdErodIO8zW6rK+xgIE1XkYZ+DHfG6SC6hVwI+Liwt53VI4STljlJ39biZlVtaYGOJuvCDml6HuO9oyMAoQrUU+TjXNzMFddGHrWpeLiXVEWnOds/TjLkaWx+yKxRJbJ/w4Ti263WLJ6196m/d/78eMQ0t/vQPp5x2DWgtQv1mvefzpJyij8GNk9IG33/katuvQuL3re9v4vwnk3dtD58+bktX5C+wnt3ugcn3O4WvN368+/+B1eEXn6xc/ZCzWDjghRghoE/yIc6aMRyWsYmunDk1jdgChLhrylUk/98QIxfyp/r0a9VZzuhDFU2fYbhmGgRAzPorHh9KGcdyy2Y4i3RJCIe3Aa6+9xtXVlcz/DCcnJ0V6MbJcLonRT7H+ydGKvh9o21bmehIzveVywTD0NM7inMUaWUsaZ6c1a7lcMvRDyb+FUJVyxrVCBnHtkv/4r/4V7j16yOL4iO22Z9ktePf9H/Of/Ee/ibGan//5b/Pmo0d8/+/9Fj/+ne9ijOHh6QmvvfEmD954naPjY3LJa2IGlQU4AgpAFor8omax6AphyeOHUeRePvmYp0+fcO/eHa6vLnieEs8ff8ibX/0qi+MTNus158/P+PTDj7i6vMRow8nJCXcevsZX3vka2lp0IZj1RXZOq31AfzqXco/r/2+LzWHmbzTbOw/n+21x8GFucPha8/ecE4YOc8VX/jhYv3ISDKTKc8VxW+LHKgdTimgpg9HE4Mm2dNvEAMV8rnZ8zaVHp9yNffZ2zolIIOTIGGQeqlJgMdahrKHpOtpFi9JG9jat0M6hR/m/MaILnEmEMaLzDgdSShUppyD5anndGIIU9WMo8b5IPk7SX6rIUxTMarfGl0tWfqx7d/1MIQrxpMpL7sV0lPFU4sLgB4IfGbZbtustPkSOTlY07ZLVyV1UhjgOBdfRdGV+zjXYUTt8Ss9Ocdyuyx5fDKGZz4+biyn1/qpChVAZuZ91nlSdYyUyQFPez8uJh/X1Ra5mV3imGOJNOYtqUcbQLjQ5JUJ/jd9eo5vlHpj9sh1UzuHmbfZlgPLLji/GHJ4tRPPvL1ygHEl+JIwDm6tLttfXnD0/4/LiulTcZSAerVa0XYszopcWvS9ATKJpGtq2o+1amrbBWUPbWhbLlqaRCmYFf6sTe07SOlNbAepCFkuVX0+Jj/zNaIMyoA4mc4yRpnUFENKTjIQMIqH710E6/+wVVFKUloEpCBbH2pom7oJbWWDqDTwEHUXnRc/0V+10PvXaxxCkNX+2uVRto7pATM6VWdpvlEpoCoBcgvJ6XtX1sZ5XHZJzQLq+z03j4fBv84WyPm4cS8uRyoy+x1qH9xFnHYvlCo/hH/+VX+e/8t/8Z/hrf/Wv8Ff/8r/L0sDxsuPLX/4KV9fX3H3wjLe/+lWOTu+imxblFtTJX3C7vcn6WYDubRvpbY+pk/4/C4D2/8/j8D7NmaiH9y5lULphsTph/fSJBDlA4ywpWJxxZbEU5+5UWO5VX7ougcW9UJj4pYgRc2nTU0iV0jlUaW0Xcf0sII4yU4Lnhx7TGGyKLBRoqxj9SBxHaKyw0+WDCDAWEn4MhJBp2wXjUMCJRAnaIYxBdI4RMwxlNLa0vFdH5YkJX342uji71/kOBfzS5AJ2YcT0p21b0bCKidY5rq42jH6k0TCOPW3XknJk9CNtbum3Pcl7XFOrnaWYs7szEngooFybac3Q+2N2b+znHThXDSOz2s2R+fEyYHgetNbXOwweD8fRYdFh/vo367e+GIze9Jibfj9/z5d9psPzf1WPw7UNpUC3aEph0m/x44jvt4ybNX5zTRwGCIH15SVd16KcKfdIQDxh6gVM4wh+QKWdpm3W1SynskplblYwByiSKdKmGbJo/DdNkf8phVytZW6EKMzU6AMGAV3DuOGjH36Xt37ulzm5/ya+33D1yXvYLCYg2jmS1vSX51idcEdHAp5ZO3UmeD+SlACYOe4KB7JWl/buoIs5XZiAMDMfjyXZTTGilSErNcUUEiDKmlZZEYfB4d7ekTn43W78xRiE1VuYvcmPEIvR3HxvqcnJDIxRWhcmRSu6aFrAYYzDuoaxX6PKZ4xBQOcUvMiOIPfUuEYSEW0kJqsFtbJA1zXmpnmiVJ5p7YVpzZnkPUwBeA2kNKJtO382lRFx09pR19vDAs7hnvwqTd+99ZPI0/XItrBwU3ZkHB9cDHJZskFVAgOQsdx59Bb3X3sdlUR3XQDiXIq0luADlbkihleV9S7GyEwkhIxSRVIlKqzVbBimRKhr7S7WnZ17zBndLgnjBVbve2RPIG/e7Uk516JCnrVv56lA9cJ9zVKYSiljrGXoh6mLTWuD0RWs2OUhNR4XrfE8yVIopWDW1q6UIvhYru2IsRlrDM7YotVYCss5F/mJ3T7RLTs2lx5jLMYEQqi6kAmlM3nmAl+vYYyB68sLlIJmucQYhS9a6zmXgrN1s2TX4pJc4/XVJZ9+qBj6LdvrSy4eP+bL3/gmdx+9ibKNsPvLdfs8+9dN8/fGZLEmJ3WcygNfBHpves/6mJcd9e8l53i19l6FUjes7XPEpP6mrJ2jDwjpVZWcqrSJZ0W76FgtWoZ+zTh6YKRtGkDiTefslLvNKY8yp2W/TkkKGsL6UzjXSCEmJYYh0G96QhBN8tEHSqJb5M1GhsHvYltrUUZxcXmOdY7VaoU1rhhbiQmezBdD07YYLXJBzhpyCuQsxtZaw+g9XdNUCEQYixmOjlf4EOgWCwFS75opPsyIx0cqReu7pxYfIk8++IDuaMXV9TUhBlrXcny0ZLvd8vDBA954/RF379xl0XW89uh1Hjx4gGtb+uC5eP4c0zhWxydSfDaGxpa5ngLJF2xiu+H111+bAPfWWc4uz/jwg3dJIfB7jz/m+uqCrmkZxoHf/e53aRYLFm1L4xrZ74Ytg/dsLy94/PhTTo9XPHj02tSF0TojesdGT7l4LPKXepYPpZhmwFuetkmRPy8munkfID7cE28DlZWayfDcMPcmv6DCoj6ULjkEjl/pY36NoBTc5RppU3TtcyhrVemmLlhMigFtLDkXA8UYUGRi8AQ/CnkqC+jqTDO9TyqSIrWgI28RyMGjFVijiVGDKbIiZf5npVApCvUtJyn0kyfNYJWku0vbndxbSgnXOFQq0ikhiJxb8cxR5bNG6n69K9YqLZ2+ClVA0lK4mA2zOShcxxXs51f1XKa9BCDLuuH7nnG9ZthsSDGxODlhdXqKbZec3L3P5vqKVKTktLVY10zmd1OuUTGlGj/We5l2ZEfBEOpfdvnuTQWaeoI5RmIWWZAUZf/LWmOMQylT4ta5D8N+3Dr/eW/u1P1DgA8ohE4pqqsiX6exiyNyGMUQsRrn3rDl7J/3C8P6Rvzqix5fCByeHze1OVdNv9rG6IeefnPNJx9/xNMnT4gp03ULmqahaRoJjrTCWWHZ0bUCgmojWmitVB9dIy0ti8VC2t8au6fTVBOnutHU86qBokYGU9M4uq7D2n5XyWH/pgpVXiaHtY6h90VrqRM3eCX0dT0LpOrnnxgXKhfQyEziJUaXqkS51/K+u9bQWpkQQHongq4UM+mJHdhaddt0Aa4rUG5scZMs5mHaFI0lrcRZtUgIS1uwQmclaNQsaRUmBDuNt3K+abaQVIB/PgEO5RZqkieJcHHaxBbmiCFlSWz8KICc1iODT/zxP/nH+NrP/zz/x//Dv8GPf/cHmATXOjFcW0JQXF5f8+Zbb+BsQ9MsaLTFqCStiXUs8mKV87MmzE0g1uGEv+nnV/G4DfzeLeiabrHClCDRuZ0zcQiRcRRn0Zyl1Vl+5+m6Ztfuam3ZWKmDbrZZZExj0D6ijeh9GSPmHLEfGL0nK81q0ZFzInpPGL1sdKV6m4YBax05KtIEVCf8OBBCJIRMv+3pVivCp4/R2jAMY3Fol88Yc8RWzU5VNJxKcaoWgORLaMOpukYbw5jANR1aK/x2DURMLBquuZrOSHeENYZ+yAzDyGK5a7exzhVZCshpZwp5CDiVGUsECVjmwEmRktLlGqeamFfgWgGkuj9J5XieFx6M65s2+3mQeTj2b5s3L5tvtwHL89//fiueLwOQb3rMz/rxuU41V9NJCMPAOFwThzVx2JDGHqsk09hsN4zjyN0HD7FtuwMBigzU5cW5tIAXYw1h8nQslwtJIrWZ2tdgZ3Iia3rClMDMD0FkDgBr7NSOVQuo1kqBKSiPHwdyjOgU6c+e8vTD93n4lW9y542vcH3xXOQlrBhP5JwJfU/V53XGYYvJqtIK0zj80BdzviDOz3UcV9MuCylkNHPmr1xkYXCUZDVGAh4N6GIAUmVx5LLV8Sn7Z70RE44Ck+aq0mpvnogmeSwtZAPZe3IBcSFJW99sP66vqUvLr7YO7VoBjKB051hs2xEK0KxShPKVgmhgKgCtJOAuJnbChqjnpwoLuK4f8+C+sixq3U9IAOPY470X2bG6bpU4TBsxBVQpkgsLW67Ni8WeF8f9/hr4YnL7aszhw6KBQvFzD1d8dfmYn/SRROJUeX7t7TdQqbTdUz4/GXTGLY55/Svf4PrsnGYQs+LgPd4rIUfo0rU5mTMKaaKaYNWErraNxxwhQkyGGIQtr9AlPtTYebKZMzEnwrZHm4YUi9EWu88l8WgmKYhTnIhIR8RU9IhLwbMUEKoxdCw6iYREziPjGLg8v5hc1iOyt4lZexaJiBynQq2sR1mkNlCTh0AdO8YYxtEXQEZhtpHGeFpnMcrszcsMYmapJEn2222ZgwpnFLFcFwH+4hTjah3IWcma4T1PPvmAb6c/xJ3792nbBms1fS/SNSokYS8XPfPGSuF8GEdy05BV4tmTp1wUmbWfvv8TvvrNb/HON3+eo7v3S3GuNqfeXOSvx+ff+8qgOyjI3HRUAKu+Vr1ue6/6ktfYKUG+CsfhWpNn/8K8zUuuhax9VxeXxCCdJ1opVssO72U8b/st5IjJ0LqWnONEQJp3ylamuDbSPZpz6W4rY1Arjc2ioxtK1+xmMxJiIibF4CPDGPAhg0r0/cB6vWUcx0LoMLjGYRtLt2hZLBalAxhyzLQlTxdZM0MIkUcPH/H82RNpqVdKcgAE0EIpVvYII83wMj+NIeYs3XtkQoyEGMlaFdZlBXQsbbdiuZS9zTmHaQ3tsqXpWoy1xJTouiNSFEmOP/Gn/iQo8N6z3Y6899GHXF5ccnlxRtu2pJRZLFZ885vfJBtP3294/92fMGwu2Ww3XF1eEmPgh+V6xxj4uW9/m9/5nb8vzMZ+oDEWg2J9cYnRGqctab3h6npdCGYC+PpB9NHzsOG3/r//MUcnJ2jX8rVv/Bwnd++JQX1bu1wVzkrMn1IkxkQgFwmB2r0joF8CKZ4f5Od1PX+xYLoPzNWjdm/Mc/X5vlRfWwwR98HkQ2LIq3Lcdm3m/89JyESyKgmjXGKwOBXLdtrONR4BjaZtFyInNIzkGAjjMMkOCZCcMFbyNlMIVbW4CUAsEmghlNysdOhpQUpiiGzXa2Gha11MIwM57DpxpMNdTlW6a+p9DHtjhhAQve1iJFeuT4xxb90WmceyrKVA6DegHOhCTrJWPEkOxl+VW5tjLnN8DiDlOBn2hWEoEg6Wtl3i2o726JgYI5vz5+Ajfuwn8ooqErMiZWkLG1fOU6uDvaf8T2IS+bRKaYk/ZtW2TM2q81QISNFDjmVtEuxCY0UlQe6QxDAlv75tTrwAkgv4UV6zgM6lWxONdD5rjbIO2y2JNtGc3C834vdXBL7pMXM52M86vhg4nPfZr/XQUFioskFJ62Zkvb7i+dkznp+dM8aMcw3HJ0csFwvRURlHurbDNXbSLxIRbmmx6TpH07ppE6qVdmutaOSWc9FaSwVHCWti8CPdyQnDtqezttxjjbWOtmvpnGW0Dp8hloCoAieUCZNRWOMwxtE0rdDzrS7OlxlFQuXCLIKieyLnE2KW4E/JZMtJ2LvTwjGtWWo6Z1X1F60pmlxiA6CN3gWSNXkrrfBjP0pbDxRHR01KsyBG6b0KYB0gchRDmxzRWfwnTZUJUaXlbzYo0zTBC/ODNCV49XXn4v51sFYyvdOanKX60zoxvREDM9FdDSGitGVx9y6b/pp//y/+Bmbb8/q9u4TRT6ySsd/y5JNPGPstRhmca3nw5pusjjXQoIwDJUzXWbpObS84LGh8nokNL24s/yAqM/8oj/3PXhagvLunKkeabiENrpMO946ZGWMo38V9uFNMAaw2etpYNUpAHUTXO6ZqCgVZKZyrRZuWYdHR955+GCVoCoHRe/R2izIGO3qij7imY31+QQg/4d6DR6zu3qdRCxKSmBq9Y2AYY1iv12Sliy65JNXr9YZF19G1DfNNP8aEDomgwk7aQu/aQHbtfcIGWZ3eYbu+lrZuFEr5adzFGFFW41SDtmVdK893TSPsQK1FasU1BXiDWhia5q1Yr07nr7V0R+SUYVYFra3dYt5V5WTMJFGjqj6SqvI6+wWBOi7mx21A8OFjXwYG38QOPGQlvAwovmnu3fa7Q6bD/LXmLNdXK9C9vW1p9hCkiLIhjBty6PFjT+w3ZD/g15dcnJ+TYuLeozcw3QrnpEunBimbjWiKu8UCq0XjPnrPOPRcFt295mhJxqKUEV3cA3b4jmkv7ethHMGkInuwYwvp0kInCW+AbBBmgef8ox9zfPceizsPuPf2N/jkB79FkzKaTMqBzXAtJnUpMxaQ0jYt2rYYClPZNSQf8eOAH/pJfzhlhS66gWn0Mi6Cn7TUQJLVmCQGSTlAlBVSG0MmFXmHUpxGl0LszoxvB6LK3zMZXQJzkWQQIF4FTx4HcSj2HpXr3p5wJZiscUPWsnY416KssA1zMSxBKZJpcd0xxliGzTNyLmtETuSiAUwOKNdIwc9YsC1oV9rmpFhWoY9csoi9eYWAlbmcPykShg152JDjiNJdGQclTsxJ2Ntak3JAa8s+5/Szj/mYP+zUeRXm7+GcDTFijOMrC8e/9k++w2++94w+JH7tjYf8gQfHJAxal8S0JDAoyYBW9x5y980vEdL7hPOBpmkBhUmJaJnaxGPOhGrAmiI5jxPBYErmzA7UxVjGMaD1IDL+2kx+GHIWoBOE0EsklXf701wfc9LLRGK1WIzhajdBzrvHVLCiFkqUKjq+RbKi77fyukrOQFjodY7tzn1/PIDVZtJqrTlK9UhIKUk8oTJmC64xGNOITwiQs8IrjfKexjIltjXulnhA7k19/3qNtNKMIUyfbbtZk3NmeXSMsg0hQ0gKHyNZWfIY8FE69bqVGDiuFktG7xm9FMyGjRSXnz17xuXzMz794AO+/gu/wFvvfJuma4sXyM179+E+95n7Xbmntx2fOdcqQDwvJtWbQi0lll/xanft3HbkLDmf7GNh6vSKMXB8fMzZ+fOJ6W+txSLgYFMk0wTQDMIsL7FrjT9hZ0pXx/M4jlD2DCnASBt53w94nxhHj9YG5wznF1dcXl7hQ6TtOqx1GK2EpFVMKXUGYoIEy64jZ3DG4BYOHyK2cSyOFtxR9wvBq92tKQX3CAWEijnjk8gXxZxojGW5kpij7VqWyxWrxULWipgIXjSQc0hsN1suL58TiSQFaIUPER8z9+4+4J13vsbFxSW/+73v0m83Mrdjpm0Wcm2sgJzeiwb5/+c//Kusr6+FGKIzrRPgzpaC7/V5mPaW3x1/h6effioydkpjbIMu+IOzbvIqUjmz3WwKiWxHIok5c3V+ztMnT4kpc3V2zpfeeYcHD1/DHR+DdVjnSCFJYdWPNM7tupdBQDwlgH8Fhg5jrPn3+vd5zHsYL962Hhzmw/WxdW2t463Kb83H48/6cYh53PTZlSqyVyhU1uTa4VbzYL3DdaRevlvPJGEcif0Wv1lLTFRICzklDIf3RHI9siZHuceV2WqLXExKwiaXGEvhY0CPZso/YVdcy1H0+M2EMwn5UPArOdSkVx4pXP7dY8rrGW0maRNrrbCQy0IWNutCOiqyBQcF+h04XDSIb9qP8g58laJLTxg9PgScW9ItV9impVksCcOGYX2JHwa8H+m6BVLgtmhtp7hbXnu3Z005d5J4U6vqkZGn79OWk4GCX0k3vXT25zgSxy1h7KcYwxgjxvcxSsxccI15rnrIsp/ntLujRs+CexjnSiwUJ4+zjGBhpllCI918n7Etz19+9+MNueIuRvv8uNUXAof1wVkeJvuqDKCUZMHXQOsanHM468AkFl2LtQatwDnLcrWUqnxpcXXOCmvYGoxVU4tb0zR7zIepAqZkkk1ovpJAjdLCJjcJbOsIKdG1Lctlx9BXJsE+mj65dWaKrotmtZJWlhhEyzAr0WhKRfRbF8dEAaTcxHiolYJJG6XQ8wXo3elJVdBtWowRQw3RYK4s6fq83eI0GRDkovdGZZxoqfRkYTrW88h796m2x9YAcxdEv8B0UTuX0qpxPLGo2AdiDseEzolMIqDwyoK1aO2xfkSphFILnHWklFlvtmyGgecffcCRUbiuo1FKHK6zsD68H9gWgNhvNwyba37hV3+FN7/6dRp9jOh32f06f2aqot10zD/vIVj2suPFBeBn+7gpWJj+jwIlwvYIFkm3WGK7BWhE2sU5QIwyqtZZ00gVLwSpgNvCFlZOdPuUKSBJBY5npipGC3Oh6xrCGNg4y3K5EFflcI0Pgev1WgzuUiIMI1fnl5zc0SwXC7ZXl3x4ecHJgyvuPnzI8vhUwKYQEG3v4vqrNa7rYD0QR9nArbV4H1l0oq8meoyVfVw2Gfb1mKvOG8ga01jF5vKcFCNGZaoKpy2BomucJOkpFGCKwkJ0BSw3orkcxBQvq9ISrCjtZnWTBULApEgMI4PfMGy3Atz1g0hpJPncSimUMZimYXl0RLtYYpsGox3KOBKaCFJhZjdvD8f84VyeHzcxFuavc/j/OUA7H4sve4/bxultv5u/5mf97TYg/Gf5+KxzlSKCuAAnv5WKvx8I/Zbt5Tnnzz5luTrmzr0H6KabnMjr3hFDIPjA3YcPwTlyEHkK5Rxu2RH7nuvzc3xOrI5knU1aT2Zj9ZrWtjkJavTU0ZIAose5BjF/FZBHAOIWX9jIJitSHHny7vd5++c7lienrB68weLodCpqmGbJekw0qscGTxx7bLfCxYRyTrSXmyW2Axck4Bu3GwGhUxLaXzGXUFE0SHNxBo5RHMZTKSRIPJhIBHKOGOdmzAEBQLlFS5DCWFD1/6rsx1l0hb0fBMD3QVpKjZW5q91egUdpg3UWY5sS+2hxXjeNgMLtksXiGKUN2+szVI7F9Ef0hqVoW5I7I616xoqW3fze5SkSVVPhaPeZyudNAjimGElegHdpyXUiEaQNOQv7mJQLe7UW7RIx73f0HM7Z24qx9Xe3rSc/60c9V9HLy6hs+NrK8NVfENMkXSRMJOnUu3hOFSa3VphuyWtf+ToxjmQ/oLRjGEc2640UF5AW9kSakpgUBKCNpQW9AkiVjeisI2uJ2ccxMPSGrssTYUEAUkmMtZIEs6q1TOAyIgsTY2HwpkQsZszzWKFqH4coscJOj7jE0kWOZLvdyjgssbyxGlI4iM1knEwtuln27JzC3j5U5+WcSTwoMZBrBy+s3QLypqywxydsnz/FVpPmAmpL/K0nM2etNRaD35OVkJzBey8mtjHRLVYsT+9ycn/L4+fnxODRbccwjsQQuPfgAc3JHbLvod/SmRbnLG1j8YNn6Hu2mzVxHHn+5Cnbi0vW52d8+Rs/x8m9hyjToKZC1e542Tz6osfL4sbf7/Eqzd1bj5pclPUyxYQ1oHJmc3VJ9iO6EQ+djz/5uMTKFoUi+CCgqbNl/KdS1JAxPgyDSC5OIEKaiFET4z6mAlTIGtFve5lXMTL4wOgjWUWePz9ns+3LWixdbNoq6cS1rnQFGrqmm/YKraDrOrJC9HKdwzUNprF06oiUFVsfSMNOJsY5x9HRMcvVEa7r6NqWxlnIiXEcGYaezWbD+dkZn37yCQDjMBC8pxrCg6w11mgpcsWIMpY79x/y937rO6zXI2274Oz5cz79+FMWixajFF2zYNhsGL2nWXQ8e/aUL3/ly3z753+Ov/QX/yJd29CazGrRSldUIZDkGLAoYon/H3/wEV3bYpD9d+z7ne9IuS9KKY6Pj+kaYS2Pg5C0FGrSfjYFWH/2ycdcnz/HGMPq+JiTO/e4c/cej588LmA/nJ6eFrN7zb1Hb3CndAfEmMjVyL78U0HCijfM98Kb1r15+3+9T/X7TfH3HNiq+U7NfebPfxWOvc9WMJDDIysh3lUDx251RNpeEEeRa6kGp7XolUp3ttFa5EnCyLi+JvqB4LcC6qodpgO7fSOVgi8UWS/bEEYvrPpivJhSZBwHjM2M4yjX3VhqgRJVO7glZt3JhpV9SpeuNLKQJGoBIe/2zJwTMYUdmGv0ZMIWYpSiSNnbU5DxXo3S55d0XhwlF4JlITJNAHbOqEJiyqUINI7jROZcHC2FGe1ajHX0l2foJKbuzgqhzGgnOXMhSDCTVUGpGdlSQPI5CqwpjO+pzpKnZVtnadcNYZSi3DDgt9fkJAUupRTKWkJRL5jPISlWyz25iWF/OA7nf5eCuWhBq0gB9eUziQ+YQ2iUEm/ddLzwHtz+/tO14otphv++ZSXmIOXBXyQYDYFhs6VfbzlaHPHVr3yFs+dPS/KYsI3l9PS0bHiGprFYZ3HO0LYOXQPXvG/goPR+q3PKc2dPcf9UCCvIFXBI3lOYv13XcHS8ZBgCMWZCEAOb6opaK2TDIGL72iiWy46Uo2zoIYpRRZGL0ChhDWc9JcYwD5wlAfbBl5ZxGaXzFskd+FQMKlSp2DpD21RZDV020ETOurT6yKJTQaHK9ElZ/h+DnEsV8J6D4POBrvVOC2m34cwStnLOE8MoS8Knldpbb+trzQdnzAqvDM3RKW8/fJ0UPc8+fF8M8jK0rYB0IURJWCx01pBjZrXsGIaBYRxw1uFD4PLyCuss/dCzvl7z8U9/ysnRCq0Nr3/1HRwa7fRuAWG3Lt40aQ/B4MPzf1kV5lU6Qi0SlEPxovYO5KlLTqFougXdYolxlpwFNJENKTIOI96HiTnQNI5hGOm6tujxyXgRwXu518YUdmCVLdAKnaVboG0drjFYZ1gsWoZxpO9HYogM2xGVN+QoDuc5i/lV1wlz4ersKdv1NW9+6as0yyUqVoA4SCEqZhbLFSTNk48/lsDTB/w4ktJCtFL9zhwk51wS3QJgOWH97hh2tZKccUZY0alohWotLeS66IsZY9j2Q2GMGWxpmZtroFYGca1R5xLw55zJKWMyDNsN26szLs+fsrm+Yui3IrGhNGPfo6jmmRLMpwyubWkXCxarFUcn9zm5ex/TdmQM0atSbGJaU6exUcZEvU+HGmdfRHPsNpDnpnl1KEszjco9oPzmuXlbkPtCJ8OB7M1/bo6cyHGAODJsrxnXV2Q/cPXsCevLM07v32exOhY5Amv2rnUsXT6L5QrTLcSUw0YxlEsR73uUa1jducP68gqFZnV8LN5tZf28sZ2sFJLqnhZDwCcpzCh7oB/WLhjVCARUUoxXz/jp936Lt779y7zxlW+WtlR5j9fe+iqLtuOjd3+IGXpcZ3FNR24WLE/u0nQLUEbiAN/TXz7HuZYQB4Z+S/Ke4L04Hdeqf0Ra32Mm5zgVZyT+yCibAUP0I8o2UzCHUntF8/k4zQWgm45U2hdTJPiR4Hui98IAKcnClFCU9UaCUD3JTAjfQeNsC7bDLo7oFieAor8+Iw8bUHkytquFXBCgTRkrDAilJ5Arl+IS2rC/Q8yKxLlwG0rLXfTiNJ1LJ4i2VljNxpJRtIsl2nZkBOynjKUqR3V4vT7rdzf97VWcv5KfSDylAJslCE/KQNrNozz7VwNZaRrXwp37vPbOt8kJnn3yIcf37tAulmzWG66v1ngfQImm7Th4vJLuG1SRPEiSXOqYSAakW6ju45oxRNEGxZW8snYLKsDOCBWV9SuPKXlmAaekryymjI9JyIhZEWNiDLHE3dL6Hss+l4InZo3PMAwDx0dHPL64BA0xiBzaPvCxYw6nWozIUvCsoyLOznMe14UIMVq220DbOGnttcJq95cXGCUEyjITyVniaNnXFcrvkrz62tpodCzdjD4SR2GBuablT/+Z/wbtouPP/7k/R+Pc5BB/dHTE08ePefzxJywMnCxalBaySdNYQuNoQ2Db9wxDz7bfimQAie16zdtffYeHX3oH1xyRZzrQv+95cQAc3fyQlxAn1AFruL6mqi28FL+DVy9+PjzmJbNJJkMl2RNT4urykqPlAnKmXbR0Xcs4ivRASpluuSAHT9s2VHPIeqSUaFq3F3fVo7ILc9oRdZTShH5kHKUocX29IWZZ66+urkoxJorBdNMiuv8O64SMZbXBKOkadcZg2wbbCHErI502xgk4s+l7Rh9ZHp1y78Ejural6zpIGR8DYRzxPnLx/IJPNmuCH6YWbWekn7Pui1prVIg0xeA0xsh2uyEr6PseYwzX6y3X6y1/7E+9xd27D3j3vff5ybvvMQ4Db7z2kPv3H3B5dsbDh4/4zb/+mzx+/JjuaMk773yV+/fv8x/85b+MyhG/3WC1pk8jRsteOPTCrPZeClR9iGit8HlgyD1N25C0xjrHdrst+6UAyVdXV3ueJEpJrGNQ5BBRKWGNpm2crG1+5LLfcHF2xtNPPy7G1YG2a+mvztFas1wekcrzVqd36RpL7wMa6VhKSU0Fu3ywtsEuFqugcP3dZ8W8c8D4VrnQ2XNfmX23rkdKTYxX+e/uu+jgZ1SODMOGzq4EUqxEKXbXTZciNwj+o5WY/oZ+Qy7SaArpnNVFNk0VTEdyPYrnjhQYrXPkrmPsIXkxdIxR9umx3xaiQpEZ0Ub2nwLWx6KpH4vB8FQcVLlIi2aqDFvOwkpSqKn444OfAH/v/d54CcFjvAWHmMhlyVEnKYeSz++Ng5IUVy+OVIqpZbLLtUypkCNkrmtjMI1DWYfrlmitGfqNSEZGv4stjcG6Bm2t+Gog5sa67ni7UHVi5+4deYKqqf3wagLXxYcjbK/x4ygFaq3JqRBBizzr7o1q3jwnUby4L6qCjQl+vZ/LGiNG9bF0LlacQWsx6paAL+GHNa49nSKais3su4H9wzu+EDg8JeLMLkapyOxXacSU4fLigvd/8j4/+fG7jIPnG9/4GinDxcX5xAQWlrCY1DSNxVgBV5wVsFgVxu2UfKoCzJQJq0quUXg6qJyxTSOaK2VgpixArnWGpDJHR0uCT8SQGEeNHz0EJPmKooVmjKFtGyDjGsexXrFZbxjIpCAgr0ilZXSWa6JLwFg3Dcp5VjOOelfl2u0qfxW8rYxoLXMRZzTOihGWUjK0c2FxpNk1l1Yls8eOqN8rM1gjshH1vOq9nKqD5RqqWvWZzjEKcJxn515aDqYpM3vPKTkGQsqYbsWXvvxVlDE8/uhj+vOnOJUwTiZ5iGKYIgyVBkVisML8zDHjOocbGpQCGyPGWUIUcPDy/IzNpue3/95vc3Z5xR9Sije++g3M0qCKLmyt9t20nb1YPb1t06sTvW4qr16Aq0rbR01O096czYUdVwN5GWcGQ9MtpLJnDUoL46YYswpwaYTVS9Y7Y0FnRT+3st+SOI5XMGkKbpK0KrvGkXPi9PQIhWb0I92iEfZRzKw3PT6IW/o4SrI7jp5ra1gslwJUjQPv/ej7nNx/wGuP3hQ9tkbcXJukuLpac3lxgWsbYhgIRbKiHwYBcadzM1CM5FLMUDwFxCSq6CpJdFl0x6twSnUxTcLQSknY1CGw3WwEjDKGRdfhrEMbAZwp87ppG1BKtCC1IceAzpnoR64uznn25DHryzMxPChrm4+JEbmufhimTcvFonsePJurC66bhrOnT1ken/DwjbdYnZxi3AKVpU0upmly3wi+3DbWbwJmbwogDyuaNwHRh0Wa+XM/Dwtq/r7z1z8Etg/P61U7bkvOlZJ1LqdQzNZG1s+fcPb8KQ8ePqQ9OhGJESO6rylFYmHrpWJS1i1X0vbYtHQl2IzBoxRErcnOsEiJq4tLrHO4xXJyCk5pJ31krS1sRSk2ZSUBqClMvOA9KiPSKgjoWLUWRzIEASGHy6d89IPf4c1v/UFsdySkhCzV9OXpfb7+S6cEH7GuwXXLKSCjvmqO9D4QUhaTn7YB4xjX68LMiSXtMugYyz4RIIuDuwojWpvCSEzo0j6acjEZKizQ3U6YdxEcTMH0vJCes7Aooh+JfoQkzvSuaTGNSETFJEYkGIN11WRLFwZxJ4+zDbpZ0CyOCMEzbK7I4xqTvSxJKaEKM4qU0MZijEUVA7qJgUwtdu1AtWmu7Okky+eTwDqSwlDMVyK2aVBNt1sflTBWY9gU3ThFu1gVcHjHcshlv9kfxzfP4/88HS/OX1UA4F0cUjWfp2tQ4g/jDMs797j/pa9xdr0macOdNx7RDT3qyRP66w0aSTyC9ax7MZuTZHZGRNA7U5caoxojRVI/ekJwOCda3hUETWm/MCis3/31+3CtrwSOGCPeB7wPExNyPxathVHYrDc8efx47/m6PKQW+LTZMWXrKNHGSDt/3WeoWugHe0vM0tIaDP3oAUdDEqOttDPMPmTm1eJwfeO9Nv9imte1bTGZkfdbnZyyPD4m58x/67/73+Pf+F//bzj75BPaznG8XNEZMdnunJOiVDGHrABP7ZYcg2cYPJfnZ/zwe56riyu2V9dcX17xlW99m/boDvOW2+k6HUixvGxMfp59dn69D3++/QnlfqgpeXth3r8qx00xUf3JGIOKARUTn37w4dS9cT32eD8IEGylq3G73aJzomlcGUMRpZg6aOdf9f3mBBYfPFVHM8bAZiNg0jh6meu24fp6w2azZbvtRfs9RdEYtqaw0xsa5wS4bVoWbYtSmm7RYVvHYrnEx9L1hsI1DfdPTzi9c5+msIzPnp/x8UcfiembFu8graRg2igxqstak2Ok325RCjabDcaI8VmsHS5K0Q8jd+7dw7SGxcLz+JNPST6SQ+bf+b/+2/zRP/EnyRn+yT/1p/m1f+zX+Rt/7a/yn/7m36Bfr/ntv/vbfPXLX+H64hKF4oN33+fTD36KQggczhhUY+k3I9YIm3DoB9p2AVDISRqSmtryfRCGtmkaMRhrHNFHiWNiKvgENE1Lv92KJGaJfxrrgFT0y2VuuaZFGYPfrPFA2zbEfgtWGOHbYjZmjUZbQ7s6xhlNrGBa8SKSTs2wt/7UsXlT/Dwft3VdmH+vv78t1p6wloPH/MwfeRbT3MCYrPgQpUDprCoFF6ggoHSI1z1NivbWFaOw5PH9hhQlllNkiWlLAV5XST+l2MWGQjpSCrS22GZBVpagdGElO8geUsJYU0yiE/0gGtdd1826V0FpS1a184VJbtWoTC4G7yiR9zRlT4kx7HWIV5B4jkXV6xdTnshDOWdSBXrlmdPzUq5yGgem4GXMJKVQTiQccwgYrdFNIx5jTUO7Osb7kWEYpYDsSxyrlHQOGYU2FqULsUFJ9/0ulkSKw2Yf1K9ktGnfzjXOyKQcGbZrkZLot4IZFHIDNpPLddJKWP0xJ7SI6e1yjcwLc2OOJ8klnqHXSO6F0tPvlKrnlMrpSTy4OX+OdmuWJ3cxbkERo7712MPf/gHM0S+oOQyknXxEHUTlGs2AQfmgIUS2m55hO5BS5OOPP6Jt2mmDEtfVhLWNMPyMmml6CvOnmmDN2V9yJeT9c6lQ6KI1Qso05TWGYZgQefFdk6CysZaT4xU5w8XFJeI8qQk+kZCNYRwHtr203mitWSyW5CyvkZGWHgGEpcVAOmUF7ApFcmHXKiCTN/gRa2r1R67XYrEAJdoy9WIqDY2zNI0VcNjsBk+M7N67gLTVPKQGwtMgKdURhchMpLirKtbNYaLEU6oas1aErDKjH2m7bmKI7k2AKag/GJgAyrA8OWZ19y7PPv2Y7eU5lkxnAHZBj1ElSTcKGouxR7Qh4X1gGHu0gaa1jKNH+Yy1HX4MrLqW1hrOzs7Ybrd8/3vfw7qG09N7E8Nc2SIAX0s4dRi/AAqzB/7uBvv8kArP9LH/oddt/iEdalcHy7PPm3LlhxdZlpzIRrM8OcU0He1iwcnJKZcX1/RbYSls+4Fu0dE0DkqgKjijAA8xRgGV1c0BbghBWru1VAad62jbyPHR0bS5np9fs9luGMaBGCPdspsCVtc4aeHse+7cucdyueT8yWOGzVbaQl2DbRroR5SCN99+iw/ffw9bDOOEIVyZ/mlqCQsh0DQV9K66ynbaYKaxU4sEctGkElpAmJxl7Qkx0vcjow9onSd2h+vaYtDZYK1I0VTGsE6gsme4uuL54095/OlHkKo2mxgSrDdbjDVs+14cVgvzOZU27qYpLfhFpz37kYsnj9leX/PWl75Ed3JKs1xhm5UwErQGtW9EV3+u9+6QIXoTi/dlQPLLgOB5sHrT424Cmw9f/2UtM4fn9coEuAfHzcCwBCGx6HRrFGPfc3V+xupoxeLklBCjmDdqg7KWFHwpBoiBXdO2aFuSVyVBcPAR07Qi7SO/hFUmjJ7LywvutS0x6ym4jDFN+5oEdRaKtpmxthifAqhialHZ9HZ6XtM2BA2ehAuB4ewT3v1Oz6MvfwOtDZfPPkWRMVac07vju5jWopI4slc2fgayMiyO75DahsvnTzAYVndfZ3VPMw4DkHFtC1oTh4GUAsP6kvPHHxG3a3IYMDqhrXye7LPMs0aCZEhoLCkLOJSVKmFJlW0Sd/l67IC+JHtSkvneLBZY25C1QhVJJKWFTaaUxipFrvqHrsG4Dtd0oBTD9QV+7CGOmBwk5sgKUhQGRhilFd44YV1oWwoExSm5gHtK7xtz1ZigygZQg+EowHYKo4wfY3Fti3ItcezJYSDaBbZdQU6YFMhYckxE5VHayVcZB7MQYjoOOxZuKiaVp7/6R/38itIe+eIFqTtzzgkVM2m7JfUb3nzrba7OL1HO8fobb3HnwWtcPH/O+vqC67PnGO9QTUMztJMGZ5Uyc1ZjKziMzNEQxDQ4FFmmebtkjS3T5AbO7P+122YX74YQi7yE6OaGEMSIavZa82JhSomsDORMP/RCpii/N0b22qmVGjWdh8pMsav3YWqPpayHc33OqnGey54uMQwc373HeH1JYxWZiGKXa1Tguhoxy2uVltu4A7m994QYGIaBxXKJs2Jom8LIT370I86fn/Fbf/tvE7drThcNi66hbQyroyVOK0nmUyZkcK6YCBaZLiFwKIzS9Ci212s+fO99/HZLHAdyDnz527/IYnmH4gAz3ccqy/eZw/CL7Ifzx97y817L8Qt/fzX33heOnKYYOgoygk5CRLk4e07rLCOJgMispNJZZp3DasQwFCYjcVXiSWvtHuhQv+Z6/Slljk+OuLy4BASMHUc/zd1hO3B+cSn7nNI0bcfRakXTNHRdizJCZtJGsVis6LoFi8WSphGSwkimT0k60FzDG6+9xunpKT4ENpsNn3z8EVeXVxhtOFouSY34E8TgiTky+HFac1KZa6bITA29GE31w8iDR6/x+PETcoL7D1/jen2NS44YAjFkwhhpbMNqdcTv/ejH/Hf+hX+Rd77xDS4uzvirf+2vcX1xzsligdKK995/jxwyrz94wOPHn7I8OcIPPTkrssqcn1/RNA7vRcIjp0xi2N0DrdFF+1Uhxet+HNDBT8StsR/ENE4JVrFcLtluNtP6QikKLRYil4mWPD1mMBk64yCWbmYvnY1EAapiCGAUl+cN3eqI++0C03T40ReJAUvTtHtx8mEX323F1cN1/JA0cVjUuymWnjTlX9HY+eZDA9KBHeKI8YPgH4rS7q8KkIqAkkWaiyRmvL4XSaeY4m6/cnoqgCklZEfJr9MeB7UW85zTkq+Syf0WpQzZ7AqnMYoGuTa67LuVJQzaOclPjcagpg5UpRRZ7db+lIOwjSdQtfgGKQoInCasLScxvvPBo1NTunYgZy1UghQBhXZu2veVqsZvuxx52uMTGNfQbzaMPgj4qjSmaTC2dDMoxbDeQPBFJjFOOYEqjFBtdmN297kqNUPykwoI1yOTioG0xBMqS1ddSkHYyeMAQy/AsHUoxPMrpCDgunHlmkJWibmGhSrXjlzkbVFTDjC9dwF+5fsMu0QCl5wShWUma375fDmBVZnNk/fpzz9l9fAtFif3AVNkS24+5nn7TTn8Fzm+GDismCriUi24hdVVzqEuXH3fo1QWgfgCsJ6enpJzEjkJazBWT4FMFXc/3BxhpwmsirnVxKgwhhwF3B2KVou1tgjk7zR0UowYZ+gKY8b7URh+KUHMIsWQS+JnROu4siPbtmUcBRhrXEOOaWopVWVQRPJMwFuS5lDMCW66YcMgzI6mcRgl+HbTOFzjhFXtTEkS62QQB9x6hBDoum5v4a76VJR7pChspJyl6pV3zNE502CukVPvb61UHVYaq35yHfA1cK+GJMYaUhh4+tP3UCrRGQlud7W8CggJqytXlm9KpJSxPrJYNpNu3TD05LwgRUkCyNB0De2y4+z5c87PLnj3R7+Hsw2//I//Y9x/820aDbroNM6v+SGDUb7PFrdpEM9Z2LNJ8AoGt4dAHHXxphRz2LWBVDA9Ks3q7j2MW4j5jVZ0i45xDITg2Wy2LFdLTDV9LKwXec1yrVMi6TQZMsGu0COmSA5jQQ0Dy6PCfsyI1lbOoAyXl9cMw8DV+prBi77XMIwYa2nahqNjUPmcEzLL5YLN+grXiL5uu1jQ9APGiDVU4yzD4Ik5MwYvoK41lH2HcdyZPEIN3N1uHZoxcZTRk6Z3yWUBRQgJX9pKc5bXTDGhjWg2d90S51q6xYpMnDblEDzWduQ0cHHxmGcffcLV8zNCGPGjZ7sV/bPQj2y3W7JSXF1foSlVYWOElanAaE27aGm7jhgTXdvRtC19vOLDd9+lPVpy79Fr3H3wZgGIEamXzxg/c2D28HeHSehhgHobY3i+phwCx4dtbvPH3LT57QUON7SS3Qo0/YwftzGG54cqIJ42Wto7g+f+3UcYpdGNQZkCnFY9/piLbIRndXQ0BSZaQUhgj+8wbrdYp3BKEfyAy7BYBTb9luvLS45P7u6d265KL0FolVqq+2od66YEzNUde77fG2vIOELOEqBsz/jwO39TpKaaFtN2YugwWuJwzeA6TLvCNAtcI3+ra0tGo92Cxcl9Lj78Iblfo1xHTBnXdaJ3aC1JW9qjuyzuvs7R/Tc5+/h9zp98BHEQHTmYwKWx3+LaTM4WEEZDnn3uureKg/P+PWQ2dsWgD4yxYKQN2Dox1NPFQc9aI4U3I4xubcSd3vcbUhgnpji5BK5J2gAFGBYj14mNWJzSlTKTUexNRZ3pd8zmTRI915yk5S+Vjh/bLsrnsDw7O+NotWRxdF+CfyNMDLS4XQ/DFq0bxIi27Ks3DOnDxPRwHZn94aXz4WfhuKmINf2+xk/TRUi7xKE8tqaUOku78tXzp5w//RjlPWO/pb8+Z/PRNe9+97siexYlOa2mbCF6Uo6gwbUNOojWoLIWY03tYCQVIDUVybRqllJjoJxLC26mfK9SErPxjC4meJL8CeMtE7PExXOZh8N4VeQbFClmVqsjWTdy0djUikhCpyymyarIFFRm1BS75Z1x8vR50t7aRHlezImQE0TF9fMzutaKYzi6mE7Np66ePm/KJSFVFJPk0kWVS/G2mFkvVicopRk21/z2f/ybPHn8mOWduyy7Bcq5Yg0kTG1tDal0WlnD1AGoprqzlvulZW02RuN94OmTxygglYT8Kz/3i7SrU3SWNVY8Im4ujP7D3vtuK9TWVP7Qv+Zn9bhpbZz+VhN8oHaQkRE96bHIBSGxWFaKEGWvDd7jWoe1bmLBi0mdISVf5sUszpzlZrDrFB1Lscd7YbuPo5AQmqbl7Mk5221PSonj42OWyyVN61i0QubQVsZH0zQ0iyWL5RKtLVExdcjcvf8AYuTi/ILr9YZPP33CMAyyZylYdpIDX50/F938EAshBAYvZI4QBDgKKTImhQqw3VwLmIbh937yY+7evc/jJ895cnYp7Oc4kIJHZ2ic4/zqGg/88N33+cVf/TXefucdjk9PuffgAT/5vR8RT44xWeG0AK3PHj/GZFhfXNG0Ddttz/V1RFvNMHqapsWHgDWGcbstZDSZU8rLvLbWkYOXlnZrSzFp3Is/vfdcXl4WOTpZc63RZJVxjcUH6RhOwcsSHxMMo5iPJVknQsygpLu56Rw5RbbrK/rNmuvLC47vWpy14sPiPdXfSKmdZNdNsfcLY3UWGwsOk6ei/k3PuY2AAV9Mt/Rn9djN6QhKfCO0sgybdZGPKPE0dR/WwvR1pZU0BfrNNX7YFhkEicGUtSSydHuX3LLuJYJbzeXXJOeSdd6yWB5jXVMkx+R+KyBFBVnyTK00OVVMTHJOV/JTlJ7GA6oynaXIWIuoKUYMluQFIzNakxSTHKt8XvknBgFRDXV87bwM5O1EYkUKgbPrWvADiQlECiWOPdkPOK3wSKzrusWEz6QYiONAHAYxayZPY10bLbFK1d+e38PyuTOS/9ZOxx0oO5N3K6BzDB6SJ/k1KYwEn7BNI6C7QiQlUkYrg3MdCjPFZTVekTxJTbjfdE/n/2rk/VPeX89lAM0GY5w9X03XWCuFUZD8BuXX9NeWbnUCuBLH3zy2/0Ht7V8IHE4gDot1VN6yeACgxJhpYgErqVaZcsNDEA1gU7+qQUYJaA4rpodJfk1s6mJtTEl8Zo9RSk1sBhHFzlInaiw5e9rOcXLnhDEmQkokhH5fwWLvPdvNgLOtVH9ixhqpLhjjUEracutnF5auKguB2jtHH/zE1Jiz8ORLgCujNa2ztI0rxnx2usTz9rVYWmCtNaxWK6peUw22hYlVwBWjS3t/wijZ9EOMGDtzV2cHCM8Xfm1qi8U+kDrfjOotjzNWiDJGqjPBC0BbQWGt9sTD62saY6naHCknlDa4IC7rUgl3NK2wK2NMRYYAAeo0aPOAbrXi8Uef8KPvf4922fIrxytM40pSbCd2yf4YmlehZpWdg6OyR17lYz+orb+sv5DkIudZG07WZBJNu+D49A55u8Y1wsQVSRUBV0NJZOatojmb6ZrmXMaW9BNDrgUOAaKjDyVR0DRNx3IVC8OtbnKOtu24vLzk4uKSvt8yDEOpojesjo+IWTSGI5F2kPMdQ2B5fMLm8pK2W3B0dMTF2aW0BVk7VXn7fkCpa1bLbmK7CIsqFJ0xMNZgTJ42PlW03vJsDawbcmVvgDApt9uh6EBKAjAHnvvtRphDxZQEwG+uuTx/yrPHHzKuN4Qxsd0MbDZrLi4vyDkxrNf02y1DEfY3SgnYlnZzUxuDXVuatmW72XJ0fMJqtWK5WhK8J19e87gfiWPm/utvYrsl5NJqJLeD2rJzU5D44np8+7i7Nbm6AfC57bXnSdpUIPyM956YZp8ROL8Kx8vOV8alzKsYAsN2K27n1mKdo7Lu5gUbVQKQUNpBjbGTfJDCkHXL8b3X2V5fsnn+aSnsiRmVaVqWywXr62u6biVmLYWxvjufDLNig7FSvI1l77HWEqKs79VgZwKItcFa2TfCOBI9tFbmpO+LZlgKhGDIPhD0gLFrnGvpkdYyax26bVDGYd2ifD7LT9/7Mf3VOc4aju7cpWkX03p49OBN7r7xDnZxwqN3fp67b3yZp+/9AH/5lJTCDrRRCPAahWWopk6YDNbs3ZcpOJ2FtTKOc9Eht9LlYgymbTG2EfZBYgJPU8oYA3HoiTlL63z0Zb3OpFT8DMpjQyhyElkKUlpLF4Y2Fowtxpn7GoKHRZnM4Z4n5h0pCTCccirXtgHTYI/u8sbRPQEejSV6L4xqa9FWobKmbRcT6/JQo/pwLbipkP6yx/+sHoeF6L2j7IflkS8mPlDiSUXMif76gstnH+M316zP11xfX7C+vhK5szEyDBIfJeT6WudwhXWqtcihDIOANjlFLs433L9zB63m57cby+JsXROifSD4UJ5Mft7/3AIkJ6p5ViryanOn9AkgzoVVZTRj6RKqchQ5C5t2Ug7M9dzqe+2z2Srbvf7qEODTZj9emZJJtQME9kZ+kvONsXiOVEO9ORO63lIlgMDyaIXSisXRMb/6x/84f/Ov/AesVh2nRyuGvi91HFn7KB0UWktCOu1b5UVrp2EFoZq2Y7vdMgw9T548EX1HpWlsy5e+9fPQrig8shfivs+76+3NsVkC/NJ5t9sAXvbKeznaq3bsPn+eZqzKon+ZcyJrJTKF1PxJQBYNWK3o2kaM6UwpaGjJz6ousJiPW1DSkl7nkNFapILIGMTLpV/35JgJgxdt4ZQZUqYfNjy9vmLwI6tuUYhSmkXb0nUNrnEsFi2LRUfTtMKQKyZWTdMJaNQ0nH/yCaMfaZqW7ZXHakOz6PB+xPuBy82aFIKYTA0jZIqWv2bwPdY6NpsBHyPWNvS9mDRW5mHfrwHF5dUGUAyDELW0VqXL1vDs+RkZhU8JFQJ//s/9b/nVP/yP8cYbb/CH/8gf5S//pf8nOUSWbYtViqPFkmfPn3C0WqGNYnN5PeXDqRed01TWm5SFLUzOU8Hcl3jRKun6UyDG2kpwgX1CVIkxs5ChnLas+56mabi4vMBYIXmBFAj67ZblnTsM4yBzuRbPp87ijMUwJM8nH/6U0QsQvzq5izVa4qU4YpUr/QEZskHVboEpj93P0+frdsUcbttz5+N8vnfV574q++5tx0GZrMgkFOKCMijjyc5ClmIHCM5grUO7FijSo/2God8UzCcVM1UpwDfOkaiFbynm1w73Q7cWhWBqKIWyBqM70eBtIy4E8QmITkzncqaapitV9s4kxU5jaofurqs1KSlc6saiszBxx5wgq4n9DrUThoJDGRRlz05F3jPv8JFUAN+ckTkPU/4/J52psn9Vo0mdxApdWMsW4UM4iQ+NIQw9OXrEL8OLLngpzGhrsM7t+vAOt44aS4Rxdo2mHblqYJKyYFL4keh7wrARfLDGPzmTlRjUQcY4hzKQdWGX50KqqTIbSu3AfqnxIHFHYZ6rNAvvMlUDWuv5flow1Yl0W18MKVYbIyojY0SbkdBvcMsTakH8ix5fZN/9QuDwHIzdSyxmJ6mUEmBBgTJyoYzVIhuhNSenx+X5SAJr5G9mBpzOWWNAuXBFEHsmg7AXW4NQ6xXSLjKXTCgDJYYgG26MGA1RJ45PV2z6obgOS3KsVTGmieIYuV6v6TrRWDo6OaVbrri+usIPPahcnJnzBHyrAnwpCoNhrjlcwbIKHBdgxzlDYy1dJ8FD05idPIJ8ut13RUmwHT7Mqg6zeyISGpU9nEoFZgf+SMtbLBOttKcUQyut9KzCNW85kb9pJdWN2kow3y+Mlc2wtv+Vh9YznF5vCq2UntwaM4mq92atRikztcpX5rYvbpfei+aTaxpQ8tnS6484e/qMH3zv+9x/7TW+uVxJctxoSm9Bhe6nM6rBvei87QK/+TWtSX79W62NvGrHtDDMgIBaYatMsQnsZDfiVsfHbM8XLI6O6K43tMs19BIE9+NAOzh8GKvkZCn+CMijUIw+UPxeRLYkA8ZIC2hIZc7JhtYspL0ajGiCe18Ye0tyDlxdbRjHIM7nKRNiotn20qKdMn4IkA3L4yOMtjTLI/rB07Ud+Siy3awZ/YjOMubX6y0xyOc/OloW5k/VhVLTNchZQDUxVCm6wzcAKlnDWFrmh3FkM/SkshY2XcPqzqkEA1phjaFrWwHdcib5kaeffsr66oLzp2eEcSSFyNX5JZeXF2zWazabNTHEsmbIxrlYdJCY5rlouYnp1TAMbK7XbLc9w6nICyyWHcujJWlMfPzhe8Q0cv/RG7jFCco05NKGs18T3R9H8+DxcN3+rPFXg4mbnnOTbMXhYw4B35eBzDcBS6/iUd12b112ciYnMQpL4xZSwCBraMqSUOopUCqOxkrYwJRigtEKqeFobLdEm47FyrI+PyOGawHlm4bkwbkFSg9cXV5x5+5dEUDLlVWYpHBXwJNaFEbtWMQxiEGOtq6wBsbCYHCYQuOvumRBG4LWJCX7fxxHcgjSBZPAM6K1wusNKRcDWG1wTUNWmpgV1jVYrXjr7S9Dfpth2HC9vkIZRdt2EhD7LWnsRd/LKJrFCffffIenfiCFvi4CEAMpJozOJN8DGZwUInMMso8WtoHKgR02XFK6MnesqelJCXpjBBXYbrZoY6X7IYn5kPHjtN6k4LEaUpTnZiWxRS5FspwLw0IbtHUY18yYw7Kua9it+XWMlXm83W5pmmZiSpMzktaILn1CgHqrLSGMNO0RTbsqQXYZpy4Qwkj0onmstDBVUZEUNijbobRjP77Y35dv+nn+f/MKMZhuW48+z/NyzozDmuePP2Z9dsbZsyf47cCw7RmHnjCMDEXqKcaET2JAp5QSLdxq6FxY+23bQM6cnp6WJFNIDqYYQjcF0KCMTAFG43QuIrM0k/zI0pk2H9vlj3ufIbO7dxOoOj0WmQk58e5P3sWPIyolQg7YUpTSSk/dLRMgrCjnyG5+1OJDyQXmQHTNX1KKxCiAS4qpJLUlflF6im0nCYnCqB4nndRU/lbOJ8mTnZOCyZ3790GJXMSXv/kthvWa3/lb/wkP793j7Oycvt8i8lsCQklxzAprqUh0mZJ8imxNuZ/GiFFobsg50g+Bp4+fYJWmcxa3WPDG174FWk+J9LSP1w/I/py6aUzuzbmDdWJ+7BV6Pm9QrF7dfbgeZdhP7G4m8ouRuLhofQu7U9E2sq85a+m6VkhFORaCSwHrimFn07RYJyCQs5blUiQK+s2mAIIFENKKmLyYL0eRgBhT4ny9wS0X/Nof/aP89Ie/R6s1R6sFy2UnJs5Wc3p6IqSl0s2bgdVqJV1Do6wtTdOQUZhClOpLEXcYBiZpxWnPkfh72/cAjH4kpS3BS6we4kYA8BDFaLUUWFwBfYZhKB2iA84aUk6MXnL6WOZw10on6f/yX/tf8L/61/91Hj16xPHxCT54RkA3DVfrK1ZNyxhHnLaEGESmsXHlRiVQArJ3XYvKQmKTe2oxKdK07bTvupIz931PzpnGtaQkpmNKCaDdKFm7hlF8PzLFE8h7cu5ICR4+fMhms2GzuaZtO9gDgxR937NcSpKkMozbDRfPnuCqfNbiiBADox/JOYonk7XCSp+lrSmnCac5jMvna+4hEWx/bL+4J1fG8U1s45/VY5eX7eLmg2xAiGO2IY+DmK+hwThso0lWOr4FOymSAzmRk2cchhLbZCEJzIgRIWV040TmQBfgPhcca8onRZJGwqs8oRKqrPm5gJPaGhzdhGntCEolh9K7zyphYO24lW6bTMF9gp/WqRRCMYKtEiOC4ezlXruLWM6X3V4HiNmxokqbqgKwpqLTW7uhUipeB0qLNKMx6GKYrhT4GDDJk3xm6ItfQowCsrcdrm0xrinxDHv79O4uyglqAR/2B0GuBIpIDCM5eNLYM27XkPyOhEaGHClcUunytY6YFcSiG17frMYdSgnwnxEfrqymBpIqZVHnYUyRTBknSU9yRIJlFlQqZYnly3mnDLbpGMOG4Ae61ZF0c01xz/5Y/wdduPlishLzQ1WGrFx8CpCSywA12rDoFpycHEO54eJGui3maW6PVdB1ZjKpg90CVRMOrVVpRZENuSadqdZi6v3Nu/axPJtE0//LRDRK4Yxh8ANvvPkaWmuurzZolfEj4qYcM8F7+nLhjbU8ffpUtLxKFT8Wd1phCFXgvGgTp1yqlHkK0qv4uSTMssEbLazpti2MYSetJKoiq+V7NaqYAiulis5j+YxZFp2YSqt7StLWOVu4ct61k+zJLZSvlHOhw++uIzAxwKuDennFmd6MBCwpplIZkRuSSmZcgf1ps9Ii7Z0zKFOrPdLKeGiiMdfaqolO46Sdou89zjUT4J5j5uz8jN/7wQ94/a23cd0S07iSFO/02Oab5k6c/fZqar2v8z+/SgHubcysQ5bmlLyV7UFpw2J5VNop6xiU9qyq/dc0LTuGXN0syuZQtLxyzuV+71prtFLSEkmpqsaINpa2NZA1OZ9gW8cwjFhrWa1WLBZXXJxfsdlsixFET4yRRddNGlFXFxeyIAOPvvQ22+2G1fEx0YtD+DCOxFL1zEkKQHYQsX9jBDBeLcWowocGl+RqJGT9mMoMs/UllfY5AY0MXinRXYxF61vL3zbXa05OT6UVSBtQ0n52fNxwdvac7XbDZr0meM/11TXrq2suzs958vixrBdGs1x0rFZLVqsVbev2AjatFT4E+u2WEALn55fEEFlfX2GNxvuR45OTCSxQJvLJhx8yjiOP3v4yy+M7KN3KpnjL8L5pE7p1HOVde3r9HgtjtDI6Pi+7+PC1D8fy4eMmeZ1bzvlVOupey956tB8hKcVUbPWUpEepXYBajlzNI0rQpJW0g6dxpLOWqBSr03tEpTGuoTs6ZXu2RpNlzORM0y1YjiOb60vOn42sjla4tpPXSkkC5yhrRVYJlfIk9QRiUNdvtwKmFK2+nDPej+Qs48IWMxvjikOwFp2+lKQyH2MkpO20d4lqmyKX1j8p3iqS0jRdRxj9tIcYY7hz94GwaZV0L2XdcH19ycndFpB90zYSnBoV0a5hs15L/JkjISZ0DqVFHLIVVgBJQ2XZzBKtKvsBsleijYBKOUFMYoDjFO3qhGF9ybgVtog1lnEYhWWmhFVF6V6Qa5ELSyTJGqtAGSugsC2M8CLbNIOKbjxijLz33ns8evSIe/fuTb9P5bPEBKm0//tB9PlyOiMM/TQuCxV1eq7WYtBiXYNrOikIJJE7MLbdWysO5/6rtMfedNzUBbE/b3ep6+EnnUDVGLj89Kdcn33Cs8efsL1ey74XouhR+ogPIzF6YhIzwCrVEJTfmQ4bWSeDtVilUM7ii9S8tQZnNYuFo3HCNq6Jay2eVnChnqkAQrV9VM/A0tnfb7gW85/rayY0xlrGlGm1JoaAQ6F0LgmVYkxexn2uMWYu5sglo8uI3wfC7gpJYn09tZbKw/zohayiEimpaR5pVTuetDC/shjyiJZ7LK3dJc4nFdCrsIhDKnmKRRvHW+98naTEC8Uoxbf+4B+i6Vq+87f+Fvajjzl//pTtei3gQtoZS6UUSZstrpiFGXK5F7vYXalZYTmJkdennz4Wk2erWCxX3H3jKwJ0ZL13zT9rTk375Dy/u+XxOWcuLy9ZrpY0td36M55Dyb9e9Xm9O6QtPKs6XxPrq0uGvqdDZAljkngnZ03f9ywWnRQB2M2ptm2EKGSkM9Q1cp9PTk4gQz+IjFhR/SwdsVqkzXJms9mSULz28BG/8Ad/mWfPLvj+7/x9Qj/w6N49rHWi7akNXdcJgaCw8muXgfcRa2Xeex/YbnvW6zXOSaGw77fUwkqVg/LDOJGJ1tdrhn5Aa83l1SWAyL8ZzVj8PGKM5Cj5cIhB2PgpFjkYIUlZo8m5MGqN5itf+Qoff/wx/ehJRvNrv/KHuH/3lKvzM/7pP/Nf59mTJ/zgu38fqzVGKWzpxk0pslotUYpCQGvL2NQlvtC0rmFH0hK90aZpJjC4dgl0ixZjDH6IaCNjt3YSHR0f8wd+6Zf47b/7d1mvr0t3RKJpGrwPGGN58uRJkX+MOBdZrVbTCLq6uuLevXvSDdBvWC4X+OAJw5Znjz9FWcdbX/4aR13DxusCTjvQWuQP1C7WeBlpwhizX5A7OF4GMM3XnkOd45/VY57L5h36WsxN62fVNMtjgtJEPwBJ5GByLPGaFApTLv1WSTw3og+oTOls3hXIYhL5I5U1RlvYbYcTUClFpReLpVMcsFdsE7klbbTIPZKFwVqfV1475ZKg5zy9p5aIfZJq1Lp0wCZQVnLZmCI57IPbGbnX1f8LdmNDtJmjFPwt5KR3z02JVHWJ1cysbmK2i5wExpBGLwWtEPD9RnS3+y1hGCCDa1psK+bLpmn2cC/p2i17SLmmCkq3M3vIscoSX6cYyDEQ/UDot4ShL15ewtiGQi4rsowANjmUuDsTo59wDJXFUwwlagpKSTysZxHcpDKkqoBEOfcKYFdz2zkeNRsjKQT8dkMaBiTCEenKHakjT+f5RfbSL5IH/77A4duDhTKISkLqXMNyucIYw9XVFc650kIaWS6XMyObsCeLUN8jpYTOujBx9qvUcwbzDvzdzcMd8Bynx831ggAMikYbhu2Gt7/0Jh9//JjGaYbtlu1G3IHHuGt7bcogNVqLwD4QY4EdywIdYpxAsCmYztJ2AvJcSXQpWlOapnW0bUNbWo4qS6Ce52EL5vzzSVAZSpJfks7ZglRbzbXR5FTWDsUUxBtTad6758i1zHvvJ+ehJgBuzu6eB/rG1AB0fyDugUU5IywykRTIKZOUtPCgFFloIggAVz43wkQNGbqmLeYjunS7RtYbj3WOu3fvMgwDz5885dOPPub47l10U9pf84SzH4zbfZB0vvkdgk7zquqrdMwTg/o1ryLXz1OderOSe0QytN0SpQ3GNpzcuUO7WNJ//wf40ZcxJQBGbUGp+oSxGLYoXVtVq05SZfXrPddUbQwhgbGappXNzDWO6/WGnDNnZ+dYqzk5OabrFlxcXOD9SEyWq6s1i0UxZctwcXHOEvj0k0+49/Ahz/3HaCsJ1fHREb3a0Pf9dA2GQQw02rYhZ9GN03bB6D1t7qYijy0DSNVgrIxRlZlYcjFGQoy4tiXGS1KCxaKjajWKDquAyIvlCp8ksby8uGRzecVY2u+G7Zanjx9zdHJK0zQ4Yzi9c8rdu6d0XcNyudgZIRTWcDXtOz5akXPm+PiY8/MLttsNSuViniHFGGMti+UCqzWXz55KQkKiO7qLNk2p7h60ps7WpP3Cyf6aNf1tt4NNASzsNGZvOm6ac4fj93Bsf54xfxsI9UocBwvXYYtfDTQk0dmxSUTfsBgx1X0y5b21vq4Fo98yeo/uEidNW9paE4ujU7bnT8hJAEBtLU23kNdTiX6z5dnTZ8IzNIa2bWlbMU2LOeCsYxzGSU5Ca5GPMsYUqaCAMbt2x51JpOybSgvDo9WaaG1hHZXHkArzUQJzpSxDLFIZda9UCl0MX7LWRMQgQ6cW8BjryNFIkTJn1ucR0x7RLVfYrmX54HU2F88wjaNBEcetMDFCJOVI9uMuQDZiJJeztNbtHLKYGMK1tXPbi+5h8NIhoND4MJD6NRrRINfGEKPoBxsjoDMx4EuikDOk6FFaYWrro3YY42g6MbvNlVlZAJ/bZB1qAvj1r399Ktzs7eHIezQdEIt2W85k37Pdrqe1TRUDJqWra3fR6gsNxIhtl5jFQoLrVF3Y94HUm9aA2/7/s3z8fs7z8Dn91QXnT57w9NPHnD8/Y9j2BbiTgkJOwizNRvbXGCngSCkClaJtjiWuidI1kDVktPhdGEPXNSwWi72CWox5AqOmdRhV2rBri2k1oyuF0pwKG7ew//XObGv+GedfKUf8kImALuasEgtmfAyM2TPGiPViFtW5puwn+9csIB4VzliOVitSHKQ9PMvaKLqhO+PWEGJhQlWgmgKQ7TrictqBZTHKz5XsEmMF6D22bWkWLW9//essj48ZtxvOHj8m58zp6R3+f9T92bNs23Xeif1mt5rM3N3pbwfgEiAAipRIkZSKalxVaihXlJoI21UlR9WLw+E/wxF+8Iv/BDfhCIfDigpJ5SfbFY6SLZGqooqNKBIkCAIEyAvc/p5uN9mtZjZ+GHOuXLnPuRcXJMuBsxAX55yduTNXM5sxvvGN7/vCV7/O6196mw/fe493v/tHfP+73+X66RN26+1B/o7CQhzw4yj5QWUnpqC8Sc1yJwGw+2Hgk48fs2gXLFffZXl6QbM8pyQDnwUavXQvzPf/s/ZJpRSnZ6dikvtD9tQjYDq9XOrpVTwm5nBuLw9jz34ruqUxg4daiQmdc5bVajmx2kmZORtFKsnmZ2yz5J+1luura4Bc0JQYOkaRPYxBQNV+HFidrHhyec365oZvffs7PH9+w2Kx4OL0bCrojKO0iRvrca4BZA7IZzv6vme73YqnSJSfi+yaZr1eT12cIEza7XYHCaIXFr2Yz8FuJ+32xuqcBwhATAw4o0haYYxFB5XlDR0oRUiJcRioc8F4jIHtvuMXf/Hn+c1/+29R2vCVr3+d//Dv/G0+ePddvv+db2NSJI09D+/dFcZt3+G0lgKuUrRNA0oY2CDxidKauqpQQF3XOaeFuqplTwoCJrmqmtjMAgIGKmcJKU3gelVV9F3Ph++9T9d1hCBFOaWSsMdR1LXEUSGM1HWddaJHFovFRGC4vLzEWktbS9Fq7PbEIJ0g10+e0FYN9157g0Vds+sGAZ0RUpSeis6fvtfMcYNyfNbe9Gl77CsZO5fj005bm0xWixA9MfnsM1HyhpALFYqUikSifJixluA1cRSd3BCjFLy9GK8lxE+raOEfncKt+3t0v5U6PFJBPplt5i/GRPn/Cgan8nwiFxdBIZxBneVurBjSodFGMJQQRHalFHuctZM2fJrAtVkeFYvW8LzoW8bIHEMiGyxbqrrBNyKHuNvvqZISE+0YGLo9MZOGXNVQNwuqupGOtxy7Fp7ty8dgmoH+BXYVcDelhM5kGNF1z/EpZL3ofC+j+DMQlZgue0tC5w6eLEGScQxhExf/Lk2Y3f/Ds8rjpHLTHo8yYhBNLuxk/C0lUCmQoscPHaHbkoYRXS+omoUI2CkF6gAMv3Ts3L4rf8pY+UeWlXjZl5akh5y/RqWIma3SrlZ86e23+fCDD1itVjRNS59ZJkBmNRyC0antaxb4VXVN13U02Uk1ZWAUZNCpjKQTj12QCyBcgGeQxCykJNUhlUXsXWJzdcWDR/e5eqrpnAH2xCiB2jCKjqj3fmrfLhuKgmwUIfq3RpuDLgsFlJbzEOfhwhbWWKOp64rFspUA0JRNjclV+rY+0DxIF4H6rFWRopjh6QJuCgjtgz8CAp1zqAxmhyRay6qwmM1Bo7PoppZzOAywFzcZpUtSN8WUR2CEymzjKRnI5wvCvCjmOyG8yGQtTqGlslbWSwmUJACRTT67unYDpycnbHc73v3+Ozx44xF3mhZrChM7Tov+bcDodrHhhwn2v0rHfFM/JGVHRbapkJCfwMRnquqWul2wXJ3gB8/m5jmVqxl7z263p+sGzMKgUzZfTKJBGoaAq5yANiGAkgquLslnqX4V4EuBNU70tJ2ASIlEG5vpWa1vNvR6xFlD8K2M+ySshWKAUS9b6rHl97/9HX7+F39B9MiaisVyiR8GVlGqw4XBOvoRusT19Q0xRmF2JIexArqEEBmDbBomiaO6VGnJ7YFZi2hqPw3s+479rufmei2AmzGsTk6xts5DX1HVDTEJ8LXfdQxdR7ffoWNic3PD1eUVm82Wp0+fcefOBY8ePuTkZImxuZ1HK5aLpYDDeX5Jd4K0+sUohpJt23J1+Zz1ZgsYbq6vGQfP+cW5aJlZw9jteTyOxNFz7w1oT+4QlYgRzNfTlwWHx0w4dRT0qNkGCmSHbPOp8+ezPv9lAcGfBSh6tYLcNN1LePn6UwDiECN1U2OsZewHXC1FhEMhRsauyuxx70dsVWGVsHk2N1cMmzXNiRiu2brFNktiN8i+FiNKK1zTsDAWV3XY3Z5x3Ivmcdez3+2JUYxWm7rBVo6UHH4cJVlzDuccbSMahiVwmhcNyr6tnQSpSmus1iRrMTHlFqtICNl5XAk7V1gUWRssRkJK7L1U/n0O3qL3MIipZcp6xErlIG63RlVrunXDyd2HLO++RnNyQej3jCEHxcoQ0kAaxQ05ZAMwhUVYBYmEGAvNn2F+UKIxbKtprwyxF5O3JIXQqF32BrAE77EGoleHT1GHtlClshyHE/dnTCXXJa9OOnelVf6FkXVrLL0MGFZKDA2lPVCY18GP+GFAJXDaTiBh9AMpBKKK9N0eowyuromuEmA/RawC154QYkJRZAqKTNWtAtPsPObAttKv0vz9/EeaJRUpBK4ef8yzTz7h6vk1m5s1KUZsLqY4q4lGo4PCWfmZ7UfxzQiHmFcXwCQJcGyNwTn5T7TwK1arJU1d53pGAUdTNrzK55NN6ayzBALRh8zkmQG9We5ECvqlEC0/KQzBA0mgED9k39TO8ei11xj3e5nrKuv4h8Cd1x9wfXON94Gb6xvGYRQ/AC1dh/v9Tlr3tUFVmt1+lznAwiYu9yImKcSkNNBUpnB3BDjLhZ3pf0k6G8WHJIPleTzGKAZ0o/eElKiMpmpa3v7aV/l3v/4brJ8+4d0//u4EAN55+IgvfPkrvPX2T/DWL3+Zv/xLf5N3v/dd3vn2t/j4gw/YrG8Yu06YXiQIYjA4+iCsxnQodJr8mc46YiVx9Hq95k++9ydUdc2dR4944yfPsuz7YT7N86Dbxd0f9VBKtHarqvqh753H2a/i8QIpRB0gEUVplog4o/n2H3yDyhq8FwZY09SZCcxEmIjBU1duWjPnXTU6y7GFLBkocjwQUsrmdrKWGyPPHaUIUYomQ9ejI7z+8JFIpKUkchdai+RfSoQh4KtA3dSQoB9GNtsrnHM8ffqcdrFgt++nQu5uJ0SKkgd2XZc1r3tUyhqs2QzTaotzFT5IwWCxaCUTTlE6EozGGjflAHXdYJylqWsevfEG1hiW7YIPPvqQp0+fsh8GPvzgPf4X/6v/Jf/3f/rP2Fw/55/8n/9PPH38RKQ6ckzw2sMHhFGkjJrKZiLakHMcGet1XU/7Wrm2lOUjyp6nlRR3S76+7zvJmZXiZr1m6AascaTcjTGOI8Y5vv/97zMMAqR73xOT48tf/RofvfcubdserRkCugsGIpIhemL17nYbUhIfEZ3A9z39bsPV00+wznJ2/zUqrdl0AwmNq4TtXLoYX4i9X5LfflqhtRTm53F+wU+KKd8rCw4fwxeHI3qSEpJcVLP9KZPsyq1SOUf1YSAkWD54g6t3vyf3yDgpKMSASmT2qQCIKoN5WuXYSc0MtSkYV5EgnRXNylpfUMMij5RT5WnvnGFwIDFRkX/Q2fT5qNCX8+8YfQY4QVkjimY5f1BKCTBsD+aHBRfw40BZ/FJuIip4l+zrcjYpFgO93OGjFEkbrHEscidyn6U5+nFEq4hKEVs5qrqlWSxx7UKksNScERxzMW5W7CRN5z4f/wnQSQozkwGc0hjj8GZAfES8GIFO0LOgmQkF2fBWl86GTJzTOWIY/CDeWlFY5unWvEjZQFcbA7HFZzm6gHQklvmlMsYlpfqE73vGfkcYByF5tI28L0vzpZhQ5hAjlvH5eYo9P8rc/TMxh6cvnNr1QaWIQeFsxcnZOW9+6S3apqJ2NTfrQxXUOZf1aQ8sxhhF2y4pUFXD2f37dDdXpHGgsk7AK9KUSE7AZWZIYAxRSctZ8H4aQMaYI/p/kcGQJE1jUSyUpl+vuXtxxq5yVLbG6DWbLUCiH0TrVsWDGUc5B1XJ4NLJ5GQnt3aSW1xUwDmNtbmKbAyV1SyamnbRyCZnNdYoSo/Syx72nOFzAIhLZUT0g12myFulp+C86JDOAdFUAC6tUa7COMuw38qzeMkmcvh7ymzRzH7OQdG0+GQdmxSkmYAkrBDJFsrCJxMnRHFAj0mqtSVwmoPROle65tISBdgcB0mCUpJ2h7LJ2qoi7XZiZpT1KcsCpsladJ8yUSaA7SXH/HdeyQ1yOvSt61dHz5dpU8pz0VXYdkFtb7AmEZVHqYg10rLpx4EYHEFBnwToaZqadtmgtZitxRhRQeVFLaFU+f4CEOspgSO3WGprqKkmQw0QMMiYjt2u4+TsBFs5nl/foMbEfrslpsQYI8vTMx4+eh2dDOtn19x79ADfe6qhZwyeetFKYaQfJPD2sN3sSVGhlWh/1TUEL6Z11hqSVkQtUi0pRGLJEzLAnZANr+96+m7k6vIGP4ajALWpK0RSNWIaRxcDr33xyzx//BFWQxgDu82O68sb1jdrxmFk2S54+OAhp2enJC26zMYaqspic7u4yxujgimgE0PNPXVdcf/+A0L4hJubNd2+x48iQ1OYm6vlkqHreP74CQCP3gK9PAVVTcFGEYuRYSNrrpqbGWrZxI9WrZQOxe8CBOSAZc4Cnieut4/yWkmiys/ma9mnAcefto6+SuxDmK2/n7LsSEwrFfYQJYRSVjNst7SnZ6JbSQmU1FTQNVVD3+0YhwG7OKGpGxaLM8arpzhXY5oVShtWd+5x/fEWFQMpCcMgkbD5hGzl8EMtesKZzR58IHpPt9sS1tIi6uoKV1cEPzL0enJMR5nJRVspdQQS+344tMZnwEhlA1tiFGfxaV98sXhJLnTOb533HhXFuC1qjbIOkYXxAoL6EcWOGDx33vgypl6RqgWmXnH5/vdQ/QZVS7zhR49SiXHosRW52KoAO2nWkYR1EFWcwJ1WLYS9ESMhqMmkMyGBfeUqhq6Te50nniyVOt+jXPBUBuMqrHMo44hKDD2l5U2z224xxkxJ6m2twc/aC8nfRynLap3XGIe2CVsnSAGiR8C/SPIj3g/4YUBnhnW3WeOtpSGKPjKyt9tmKS17SrwDftgcGIaBpmk+830/bkdpOy/HD73fSrTrAgq/37J9/pT9ZsN+t2McPHVlxcSZQ2IxGk0MAl5WLmEz2DBP7ibTYZXbt60QCKracXKyoq7dxE4pbEMJk0s8CBIreIbew6zoF1MgJQG0yvmXZE1n00YxdoMxt7mGJGBZiBJTCiDj6MeRFKTYUxh3Q9/z4bvvCis5RkwCpyX+sDpBHFk2Fc5aYSUqhQFi0rlj58BuTUp0TEcfsDaRuBDQ20BSUkxJMQACWI/e0/We0cfJiC5MxeWITzIXXeV48ytf4d/+2r/hwx/8gH63wQ8+zznD448+4k/+8FtYV/HFr32dv/SLv8hX//LP8VO/8As8f/wJ3/2D3+d73/x9tlleyo8qF36lkymmKAZiyUs3hNZYJylljNJRsd6uee/993jwJ3/Cgy++TdWu8mqvXjr3/yxHASj4EffRxKsbPx+RLMhzA3JeOhLGgaePPyaVrkglxdphm+UkUqKqKvwId+/e5eHDh7z33nsC2ui5vIiw0Wxu7Y4ZaBiDGHajcx6qNaZy+Cy91veeZdPy5Olz6qZBtw3DOHKzEbkDlUAvpWvj+fNLFFl3WEHTLPDe0+071uvtFHcppdjtdhOAOQw9wzCKYTMHndOqcsToqV0NBpE/axsuLs7pui0pileGAC8yZ8ZRQJrF4oyPP/6AFCJvvfUWd+9d8OEH72Gt4/LpU777zW+yqBxPPviA2lke3b2YCrLSYRzQVlG5mrapGIaBGMXwta4rQE2grLWGcRxQMBG2UjbJTtHjmgZtCjtfdED3fY+rHVbbKR8IIcieijCJtbKZ0R1xVvHhD96VjohxpG3FiLoArMYY9vv9EWistcK4Cu+zEV6KqAjbzVoGn9JoU7E8v0NbV/Q+SPG/chhTmOp6muMvi6fnZLm5sXMpUtwe4+Pk+ZKOwctX6FDzSk6aeEgIluFlLxpHyN1bJbcpfsoFeExJpBiGrqO9eMDi/mvsnnyIczmv8SOkKAzkFIg+l7u1eDGliXBVzksIBHJOafpepaQbNeXulolTMIHJGZnNRncFQ5sDqCgllqQpTnv01BEUI8rWqDSS8jqiUWSOJkZpXN1gbdH6zXlW1pZMxZgZkVMsPlulsxwFSeW9JjFpK6MU2lossNKGph3x/ZDnHljn8n8iP5aySXbBo1R5bikBEm+UsJQMwhdQV6lynyRrtUbjowZj0a7CxYDvtoBIgIQC5GuFyczllD06JF3NXdb5SXXdnhQ9xFHAWl3i97IvSiejL/ntbkchSWI0JFm7gvdMEhNJsJBxGNAZxK+WS1RVgTGZ4W7QyhyunR9e3FXqT1ec/dNrDk9frI6+NGOuE/BweXXFH/zBt3j3T36A0oq79+6KK+gozr91ZY8qNMC0GT795DFOCctEgs30wsXFYZgWunI+IYiofBhGxpSm9p55ZWwa8Nlcw2hFUzl831M7hz5R2AzA3Ky32G5g3/WEYZyqP+VaZTNXaJupGdm0TRkxOTNIIG6NmEi1dU1dW6rKZc1QmWgpZaCbDMSoA+N3fq/LuUsFWlriQ/ScrJqJcVzuyZwhUH5efl9kKMQIb7/bQtb7LUDX3CRw/oxJEhCUh6aNDKMjhjbFTTPlQSygc8gGfcMwstt1DMPA0IuEh89aecUQpbRXlTbkUsGUpDi7x+YTGkdP3w/5ngR22y3btbToK0GkSDqx2UvLU7top03001l4P/y1Vwlgmh+3Qe45UDxtoEqhhA7P8vSU3ZPHGGNYnazY34juoR893gdGH/Ax0jQ1dbPM7FAxjTNqWtYBSQhlQZQWtWK8OD+3aQzn6uXkeqoNNhss7fe96IDFQPSRq8trur7HVBVPnzxju99RKc2bb73J+vqaZrlg6IWh2+aCRF1V+HHk8vkN3gf2+y6D0Wfsdnt8sFS1w/sKW1swiqgRYw0t5noFME0xTdqDwUeZlykejbPdfkfTnFO3jbQaLlfce+01tjdXbJ9HhmGg6zrW6zXr9QaV4Pz8nLqpSUphK0fdNLkVWE1zPKWiuzSrKgOLpWIcRF/5/OICbSzD8IRh6Li68oxeWv68D5zfuUOM8Pjjx6A0p/d7Vmd3Ma4lILUkpQWUkAIWlMhFm7KRHqQzpufJ8TwqgUyavX40BvNGKcXUw9o317+aPmcW3M7B5nLcZsy/bA68GscPOVclQZHWFuNEJsFWFfubtWhkwWztl185MGgMfuyxoSFqg60MJM/26ikn9xy4iqo9oT27z+7mqTCbYkBFRYjd5LZtqwZlAlaRTUtTdiePeD8y9j373Y7tek1SiuVqNekf1k1DXdf0fQ/IXuKcy5d22O9S3t/KeiFaoRkAM4aQn6lRCkJEp8M+VvbSmNJkbDtJT+V9ymiRsdBO5nfoXW41kwC4rltOLu6y/XiLUrL36SDOzikGGCUoEGaUdPDMx+Z8rBrr0CYDyN6TQ9uJ8QuK1uZW1xgOrHtysUkXoz8xnivMAqPNbFgolsvlZ+5V83kwnytd16GUOvKCOMxRM7UcCjOssCok+dDBU7WRMA6EfkvSCj/0DPvtxAYJvUVbK2znmLMxdXjeLzu/Vw0Yvn182przYiFeoVNkv75ifX3JZn3DfruhchXGapbLBWGQBGP0HqMkqY1JtO9Ep1YdxYBlDRXPBmF/142jbWuqyqG1MG2mLi8O627IMlFz2Sjy/g7ZwDkhCXAqCVWJkQ9sppjHYQFXy/wja4yalLBW5GZcEr1lHROtrRiRmNbnrj9r7dThBpmogRLmrVIS+8dspFeMoVNiHMWqJ6lEVd07im9L3JEiGWyPDL0X9vIoQHGRdPPei/lsgqppee1LX+HZs0ve/e4fs725hjBMYI3syfneVxXf/re/yXe/+Xs8eOtN/uLP/yJf/urX+KW//ct8/S/9LL/xq/+KD7/3XfbrTQa5IjF5xjGQ0oCzemI+AlkSpMbHRNhFnj275KMPP+KLjx/z6AurI17GD9vzPivu/ZSB+/neN/v8yXTnVT7y+BaMRta/Yei5fvKY/XaH0TL+CghYVQcgrus6Ugy8//77XF9fS+GuqY/ipgJMFpBD5NIS1jqUFlKQVgodI1VdY/c9zkWMGmhcRVvXAvTudlOhx2pDZSz73Z7dfkNVOzEq7ntOzs54//332e/3+LAhRKZ8a7PZkJJIlD179gxQWWc7cOfiguurS87OT4GEs4aT0yVokXBzRrPbraXTL0RikEKZdLgFqkoAoJubK0IQNvOHH77PYtFycrICpMPue9/8A05OThiqGqUCJClSG20kz9Y6m7HlIq0xmLZhGMbM5hzQtZLOiCL7hOz34zhSOScdVFpnQE924spZfAw4Z0kk9mMnIL33NE0rBunjCLlAlJKsLWIW72lbMVH3fpi6pZRS0z7Wdd0E0oqMtCH6mItbSr7fi5E2SmWJJsfi7C4xeXwMjENAuWKiqY8wjpfFw3N5zfm/gYlIVkDk27jJq3ocYShl7iZIPoCVWGyICYIwalWWBpmuOSFxIQqnYf/8KctHXyIlRff0XUwSmYAYhOAQgzD5MY7Ri3GcdNHMcZRIIdPNz5GUJnAYpaZOgQJSEtNBmmZe9FOyvxZWvoppkhyZA8RZrRyrpGNHz+LionvunJtyyBLnFWyFmFBGTftgKt3txmTsT2XQWUhgKQouppTK3YoOl0l8KhfMSsysczybjOjyRgRw1oYcVAiQPnV/c8DKyncU+F+RhIxBAuPQSJdBnDrlpWtSsDLJKayxOS6vSFpk3FSaYWDB0/edaBjH3OED6KRyLFQ03C0p+6PIWiPG1DFEatvAmKWBYiClQ5e+axYY63CuwrgKtzhB2QZtGzAmm/Nlfy1mY/ozj5Kr/2g5748EDs8H8acyr3JlQ4IgYfRst1t2ux1KKx7aR4cWtXRA+mNI+CBgkUmRoBCkXEVCEtu5OcigMoOlAL/e+2mSKCWSC5RgbybRUIT055WzQgsvZi4pBZwBs6zQZkVVGTbbHrexAoj52UNX4vAubSklmJZqhbBeEZO5qhIwuBLDD9GWEjZxobyP3ueBzlFVoHxP+d5yhBAYhshujOz2exbLRipFs8R3vgmUoFzlwDrEgMPS77YivJ0S5AVJzZhbt5+7SGuIC2wZoMXVWR5nCbDz70lxjMF7ttstm/WW9XrDerPJrVM6B99etFqtFXMwq6Z2lgIUFK3auq6mZ2qtmfSeUoLNZoNWijCKMVcMcaouLZYL9t2eZ8+eZZkT2aRvMxHnP5vfg9tz4VU6DiAFvAxsUurgSKpUqaDKRlU1DSEnf9Y4XFWjjZ0YOFoblBEm/jCOKO8FbMnjXG6XiOtLsBFnOmocBSJHLPGYskGiPJtiJpWSGERutzvOTk7YbnaiQ7zbUSdFd7Pm/OwUpxXrq0uUTizPTqnblnOl2Vxfk2Kk33eic1bX0z3a7/c0TS0bqoK+H2l9ZgqlyOnFOZdPnuAo7UCysRZW0TiKEZ33WXtYC/u9tPclBU27IGG4/9prqFwhHYaRcRhZr9cMfU+MkdVyycXdc1nvjGF5ekbTWCorMjaVK2aL+flmDWjjDGY0DL0U6YZBjIlWyyX7k46uH+iHga7v2Wy2KGPo+n4S2P/w/Q/Ybjdc3NuxOr/L4uQMrCNyMO+hBDv5u0np4Lw9A2XhdhHiuLhSGNiUPWX+u6oUsg7Mt/nvvuy7yve8DAz+NNDpVTyOzz8Hhbl9VLcLGE8Ytlt2mzXtyelRInBY7yLWObrdhqZZgGuIEpKhU0+3u6Y9uwfasrp4QFKa/c1zAUKNGNbJ+BPmnQCUUgDSKk3gZ1VZXFNRtY1IT/Q9m8yGXC6XhBhp25a2bRlyMaMkKeVci96h98Ps2vUENsj7DqatSqL8w9izJjOdkGA/A84TaFz+TkSFUaQjUGIepF2+y2Dq3CaaWdgCKB2KnzoFfBgwRhhL0xO6NWYlwNVobdCVsH3lOkAY0POix6FoXAoB01qJEVAuO8maQ7nlCHB42Z51PBaOWfgliU233q+1puuGQ5tujtWmNYiAzSxobQxj8LilQTmL7/dsry9plrKPR6NZntzBh4TRBWDkhXn+4tgve9SP+SEnWvK4l65V83hD7l9mAUXP5uqS7fqG3XaDImGNgIvz7jlrpEhZCughHgprAg6rycxQIQydyhmatskFRpGckHFXQnhZ2CcDOqXQRkDeFJV0gyH6xtK9JW3v5DjV6jxWs31rymCqgMECYpe/a20I/kDwGAZpBxcTRmHlpASGbPiaiQZDP2CdSN+UI+TvCSEQVf6sDEB7L+ZXrmpYtQ1nqyVt0xzGe9FpBlKQQu++6+m6gXGUvVw0VAUkHoZRyBhVxfnrj/Ao3v/2H7G9vkEn6ZxL6uC7UICAfr9n6PaYfce463j2g/f4t/fu8Xf/4T/izbff5m/9g3/Iv/kX/w3vf+fbbG/WjONI8BrvR7wXfWlhQ4fpumVeyvMau56rqxuunj/hwRtfxNhjhuDx8HxxD/ysfXUaJH+GQ3Eo9P64HynN183SPi1/p+wbIRGTJw4Dv/arv0rf7YStGiPjOHJ2eorSaYp1rbXEAFVTv5DPee8nhm5VCWNz6AcevfUWTz7+BKPSVBSq6xofPDqDOcN+pKkqNKKpu7m8wlWOpCSWdNowKs0OaJcVox/p+56UYLU64b33/lDA1AzKlC6NAg5LjiVzYNEuSVlN5OLijJPTFU0tHbCg6YYB7xMpaJwx1JWb2HkpS82Urlabczsfgnhz5Fh6tVrix0AMkZPlgrHrOVsuCEFY9Iu2FT1xlOwxWggTPoykrOdcVRWLdsl6vcnEkoPeeIkpqqxxbIzBKI0fPf3YS2ezVlR1TcpGz01T0aNyvC4+JdpYSmfCOHoWi0UeM/LvqnK0bSts5Qy+9X0/AbFt205dHv3geXDvAUPX4QfPfrcnacmDt+sbYkxUdYNxDe3yhDEmbq6vIFjqRuTDyty6LUk5B4AngtgMGAam8QdMOMHtdeBVyX0PJJRD0V0dvc6Ui7qmRVctqd8c3pnHRwEgU0xoa3B1xTjsGNdXnNx/k27osf0emwbG3YZxGEhEYlBiHpfjVmaRVPncIqVV/puIEHkvRRUZtzRtzgXHQYnZ8hzA1pRNXLTodZayUFkSAbIxoRJpuIK5Sqwo65k1IiFW9t1CWExJYuNEFKnIchPz9ZA7R4UxXGJ25Nwpe5SYZBvjmE66PKsSh8pPILOqi42WnGe+L/MnORvjRRVAFQB5useZfKs10RiCFfkKGzI4rw5xsNZmIjwW/ANS3nMjUYsBXSJJV7uxImsXAoVYJ4/vgMGV3c5kVYOYDjjkAdSWC7WuwjQLbNUSTSWScdaBdYisBEdNdp9nPv5p5uyfmTlcvvg2EGCto25aFm0rzJWsmbLdbFitFjjXygaa54UPEYYRr4X1ozQoHRlVJEahXms1q7woldl76mgxLEme1lrudcxgZTEHyBWxECOR0hJ00LJTZLBYgVKJtjEY02KdoW0d+65mzJuCmDZKUGaMkUmVqxIAzogYuXPCznJWi7yEkUBbaPBlYSgAtwTrCpkDVVWLMU0BlvJDDlFMX7oQsasVKgz4JFWgg1mFtGHP2cSQdXyFO8F+v6OuRbRfWBcCLFtj8qIgy+pUZVRKWD4oVHaqDlmw3RawPbfFgFTWfYh0w8jzyyuur9bcXK+lYj300tIURfcqhsC+E7OVuq5ZLhvqqhbd1yg6e+OYA6Omps1aLOWZ2wwWrtdrlk3LycnJDAwobC3DcrGkbVqePHlMjHHazOdJ8nwslzH+sjH/qgBMhwAB5pvU/PqU4gAkRDE5K+NweXJK1TQyp70YMegs17Lbd7Rdz+qkFZB4AnglcRQtNUVx/nVVlc1sEjGO0gZqSmU0zX4/FdQTpVSuuksLawgLOfeUSHGPr2uU3jMMnmH0GDSh6+n2O4zV+GFgt91y5+59rsZnEpCFQArSFh68fLf3I+M4sNlsMjNJEl8/evBStb159jwXp8q9E73hwqLe7zuGYZxYUjGDpiio6gptxagpoTm7uCOFtLrh8vIKpWR9KsFjXVfiGmuNBKlRztGairZqJnY9SJu2guyOnTsAUqSJNRrNft/RNA2np6fE62u6voMkTtd1u2C92dH6mNmcPVfxmv1uz/LqOXfvPeTk/A71YkXKuurZ0YhSwf20xPEY/Dh+rVR6J2CqjL/ZGD1SbX0pUPTZQNKnbYyvSpALvKyW88L5a5Wr4Voz9h60xtaOzeUT2nYhxdY8amcrAJiKob+h3+9oqoZxSNiqEsbsOEjBQSmStpyc36NpWjaXTxi2N9hKWKukhCLrKabCMhhRKeElQhTDLJtQMbJYLbOXwF5A4v2edOeCFGV9GIZh0qY+0plFSWGCrImqpAhzeF3kK5TSE/MC8hhJMicKaCxj92CWqSeAOINAyRNurui31yzOKgFg0ei6IdU1w/XzLKeQE4BiTSz1zheYIgfAWk2FlMJISTDT7pdS9REqq92UzJTAM785s1wKCDkDL2aF22nMqMN9hITKCYGwTdQM4BUmhLBJ9JRgTcUdpYQhlbVQS+KldL6+KPEFSrNYnYlWnTakEBl2G0a1Fna3FWMUpUwG4c0UXd+WYpieIzn4fnFK/NgdZf88Bpl++C/FlAjDnpvLx+w2azEk1Iq60lQ2JzuVm5ioiQyAaikSSB6ZcEZjMvDhDJkxY9BOPCZKUnIoWJTIUOZXaYNOUfbysqeVRDJphU8JlBQBRu8x2qCVJExjnksolUHVyJClwJKXUTOOIkmSvKdeLqialtFonNaEMIhutTbYqiYhzOC+71AoWmMJfsyxrp50lsdxJGnFvuvlvkeP0pq2aVktWpZtzcmyom3EjK+MtbLeBB/oeukW3Pcj4+gzuC3zaRwC/egZE/zUz/wM5xcXfOPXf5Nuu0F50QqXJDMexagyR7Rol4+eGLb0/ZYhjPzX/9U/5+/8o3/Al7/20/zNX/77/Num5bu/+9tsr69FGUfpLMEGUR2IKZKEJspFxBi4Wd+w3dwQxh5t3FFc+1kx6+cpnn4qMehzHEXL+VUBh6cjRYyChOiK7vdrtlfPGXcdJsFq0fC9P/w9Lt97h1VVM3bDJD2w33ecnq14++0vcXX1HJ3BhRgi1hohJcXcep5kf4sp4WOWCTOW54+fobBonGjr6zixTuuqZqt3uNqhjWb75Dk//9f+KlFpfu1XfgU/jvhhRHkBQo3WhFiz6/aEEDg7O+d7f/TH7HZdLupqhnGABM/WGzFLryqapmYcB5p2gbEVde1EJk1B3+/l/niP1pZl04oJnBIfHFtZrDM51q3o+4OGcV07yROMwlmDXZzgE1w9ey7knRixWmOsEh1hbSAK/NPWDTEGXBRAPcSSbxQCmGYYe6q66DlLvO6sQ2ktMhOuwVorJArvqauafudZOIfWiqapMEGx321yZ99+YipbaxhzB4SAdp4QxqnIVnx8RL4tslyKkabLTOWmaUkJnJN7a6xlfbOR12NEoG9Ftxf5iO1my+Unn2C04eEXvkSzXDIuWpKXcWmUAFCCERbvoWKIlqaYQuX1eN5lLPfnsFYVrfSXkaVelUPBAeudxwxTHOFJoWfc9aQw3Co6z0B1NfFVZT11nnFzRdWe8eCtt9k8+5j9849JzhCSJmz3WO1hBIxBB5ulxvK5aClATuAoEr9P5mize12e1RFwjJgsxixLMF3rlDcX4k6avpNUYmYysScTRaKAyXMiBvl8SAeSHxkolbBbunqcEU8Mjdy3oC22qgn9frrPKbNmCyaglMnxwwxvKDFtziVlTNrJt6ocBxISEiNPz2kW96bJZWN6znJY8QVTFq0rEkHA3hjRSR2PjbI/JZGukphUDKaV0ehhYBj6CYg/wk6QNEBpg7ZyziavFyk/AOMcIYgvkFbCpi4+IdYalLYkbdCZDCeG0xV+DAgX4NP3308jS/2ox48MDs+ZKPMvPgo+kFZ0W1UslisuLu5mRtA4JXrCsBsAl52tpXXNmMJw6CZ0vFysMXo2DmTwW5uZEWqmqZaBmCLaPzHUJmaQtMaFDGIqhDnhs86YGFaoiZ1stWJRG4gDztZANWmlhUDWG8mmdLOquErSImds0WQBrYWSX2ZZYSr4EGTTS2pifQgTcY+xmuDjBLx5L5WbpBS2XTKGkZOFMGDnE1zArpku0/Sa3FepEqup9e6o4jgbe6GALknaBIiJgGH0XoBulc3lvJeWA6WlvhQC/eC5udnw7PKKm/WG3bZnfbM+Pi9jhWHkAyjNvusYQ8BHT217YooCfCfEPCwDnIvlQjTmrKVpxLSw6zqIico67j96yPnduzKO8ngozCtjFPfu3ePxkydUVXVwguZ4Ir0MFH4Vj8NGAym9fKEoSV8ZPwadk0SFrSrq1ZJ+v2W/27NYLHHuemIe7HZ7Ts6khXH0niq7AauocgEwMeRiRRpEQxRV2jhnUi9TWYEXwAGFFDbqup4AEaXIGoOGfTdwOnpunj2nrRyNXjH2A/pU0XV7tDVsbm44OzvjJgvJh1wpd65i6Ct2uz3b7Ua0g/sOYxXdvmPRNrKZJdB5M0jpYHQj27xIvOisLTRmgLhuagFTcvDYti0Yy53XXsfWNTGMWK24uLjL88dPZQ3Iw8wYAdadE31hZw1Nbakqm1uB9UHvKN8nk7mDKUSStaSqYux9bqdTtIuWq5trSQKGkZQUu82WEANhFDZJ1YjmktIK/+w528trzu/d4+L+fZZn5+i6ARwRnVvxcydHPvFPT/4EjCibJOXuqVJdz4BeOoBAecWeigETsDYbG2WMv4wlMf/ZqxbcTsdLilZH/0ahjMW4CuUcqdMkbXBNw267pttsWZydCfshr88g+0/pAuj7HjsMVAupUGtt0drKZ6eIjwPd5pJus0EFT1XVk/kbgDJagtUYsEDyOmuRGLqhx1mHxaC1xYcRU2lWrsK5mqvnz3j29Cl3791DaZ0NZcZpXSj7eoy5w4UDa32u1UgGY0MYc+dBnO5fKWK8sKbnoEJlFmaM5uAu7X023coxBcKs0K7ChxEdxYhHmFA6G59qtBLX5wMb+Ggxy8+MGXh9XOQgReb6gSVJVFlP7bg4qQ5hEcfj/3bRntk6oRBtY/m6mJOiQ5Dc1PXhXyXBygWnusqAU4zHkkAFOC55kFGA6EIrtUDHCH5k6PZoYzHtCj/2uGZJ8kHGWwEqZ995PBX+9ODU/78PAVbTrSTl+HgZk1gh7dF9t2e32+F9oG2aicllrcE5YZ3L74C1GhdNNibWuTvNyHurClXmqVJTxa0UG0pydhwr57kUi5xEZseoAyPGZ709CFQqoAlScBjFJ3wM41RkLntkuUZUloBAlnvjLLap+Xv/8O/zP/nP/+ekGPn4g/d5/uwZN9c3PP7oY9754z+WImyUAvXq5AQVo7R9R2HyxBgZ+l6K0auV6K2nKH8akaWqnaWuGypXTfOgzCuJmwN9lpIbhrkERmLMe2RMCbtoefjaI/7Nv/pV9usbnFK5I1BIIWoWSB8z9w4xdfKJ/XpLiopf+X/+v7g4v8fd117jr/6tX2Z7c8373/lDxnGdGfsdPruVmywxI89RpJ2stQyhx1jDbrdj6AfcZyix3N4bf+j+mD57LH+u49WYukdH4bOlKF010XuePnnM0w8/od/uuH+25I/+4PdwJDzS0XpycsIbb5zhvWe723B5eckwDCxXLTrIXlO5amKtai2x1DCMEmcaIx2SGTS22vDw9df58IMPxO8lFuCxZ7FYiHxBGFmdL/nud79NQrNcLdncbEghsO92BF+hlGLf7YgxsFgt2e87nj17JrIuxk7nEULgZLWkaRrpfK0dxpzgXIWtasahh0wMqpzlZLWSnylZb2Sci3mlgCMC3KpMhhCpJDF/cpUAkevNlpNmxc/+/M/zjd/5HZ4/eUJTuYzqRlanK8ZhmORWpOvhON8thKgCes7z35QSbbsSgz2F5CkZfKuqKncBQrtYYKyhaWvpTtBw9+4dnvindH0nnQ9BGMgheFzl6PaiZ+zDiNM2fzeMo5xTyTP73BVorWW/FxDtL/78T/E7v/mbVFXF6EYWi4UU4iCDc0k0cVVkc3OD0obm5ISLpqaqKvooRmECdpHBa8EbCsYwxwVKvv9p5Kc5IHl1dcVisaBpmglDeZWOCSB+2WtKoXzADzuKjOvB7yLN9rqYAWKNUZbK1PQ6gAp0l88I60sc0IeEChEdgkgvELBaJMaSOFPJ8pnEyLjc9hQKEesQ28y7049A2zyOfQFlMyCaUJNcWr64wxeQpnkSUyIqPQG0ZgJa0wGkzd9fQNGUZE1LKc/Zsk/mQoiwkgZS9Pg+oKa4YCZjl3+WsrYygBg2H85rMt7joArwUrAzSc6o0rQyH+WHElDnpz+FsGmKuZUqJJNSsJTYOqYoRYT8WdM4AFSMRG3RJnuSVQ1h6AljT/KDGHAVEqtWkMysICH3wphsUGcMUYEzFqNEGscYi65qlJW4wVDuRfmEstYVUunLc+w/rxz3RwaH5w+rLLrzI83+U1oMaM7Ozzi/uODJ46d0nYBJ3nv2XY/30taKEmDWWivAZElEZoOsfHLZvEQyQiZZkReYQGKjIYTpQZcbJg7uPSQIY5EbkApgyp6FMr5EfFyuWcDdRbvI9PFINFHa7FXR8ZVJqkuyFhPaOEBeK217OrdfqjxoU5ZjSDERiKQomlwliRVX8DAlfyFKywxJo7CYFOl2W9pViz6M46NnNbHyJjBWQRDzrNLSMq9STRWqKE7vCQT0TYERhUfRj56T8wtUHPHdDsrmC8RRKiK7fcf11Q2Xl9ds93u2uz1DJwl/27YC7GeWV2FEjMPIbrdj9CPJJs7v3+e9H/yAEp4FL61XbVWzWRdB/4QyTAlR2zQ8fO0R2lls5fLql0H7VEaSCI/fv3dPWiRekqDdvofz+zr/81U4jkGC2Z7BMWg2yUpole+VeH0bbVmdX7C9uqKqaqqmpl0s6LqO0Xv6YWC/20+baxe6yXQw5nmtjUJp0WNKSLXOmLIE+bwpZ3Agb8zaalQOZKRCqSfwxRiTizI9o4/c13elfTZIa6kYPgSM1Zyqc5ytqKsR1YqGUds2KBL77Q5Syk6sUtwQltNIjPW0oCktybhKiAyLsTl+UFNLIBT5lnjUolU3DcvVEmtFYmaxWvLozTdISnPz/BM+fPcHIv2gNV3f0w8jTV3RNG3eyLQw64hZC13AmQP769AVoSC320oy0+07MQOrHPtdj9JwenqK95H9riPFKG1s40AKkboNuKoixiiGeiEQjObZ48dcXj7n4t597j16yPL0HKsr2VyVy6zEz2hJncZenPLLEoyUoClR2ngOc+xgaHkA1OafP5+jLwVaXnI+n8Yy/nE95tdR/j0/ZA0TswXjGpKyBGWo2hXNsuP68intakk0jjQLFIuuYFVVkJKYmikpdiaEzYSK9NtrdtdXMO5RKQhzIBWGYQaddMvy7EQYOfs9YczAS0wsjGHs9mIQGkYYhzy+BiKK5ekJu+2O6yvRYFwslxNAXHRFZbwfa1vP78NcF9daOyWEBVCe6+bdHg+uclPXjM6FjpTEPOj66UfUy1Nss5Jxqwzt6V1unn2C8mkCNHU25TD6oDM6lT9esn8cA7jHsVRhRZS9uQCw88+ZxsKtf88LMy+AyLeB8Zd8Xj4BiScQRnQ550n+Zw5HR31oCXwBlNaiSYeEsq5uJaD2gb7raHzPOHZUzYqQEvolc/LTznmurfxje9wG5z/3IeDwOHSMwzhp7BY2l7VODI6nzjkBIkSLmizvQzbzFVmSokVISiR1KLYcHNSzX0Rhg2dgGApAASW2BUWIAaMqrFMMQ09IlpBk/0zA0PcYpQhHc+pwL9LMLCcpaSs9PT/DKMW//K//33zzd7+BSmL+YowhjCN1VVFrQ706wVlLbV02chZZDRLEIukQAsFIERgOruJaC2Be11Xu4Cu3pYzxyDCIh8WYgeGU149x9IyjJ6GIWmFR/Nq/+Jd02w3aKKxWWRPYZDLIAZyaP/9KMwEtMYj/R7/bs7264r/7V/+Sf/if/WNM5fjKT/9F3v3u9ya5jAm4n+ZKKRaRQe5DPLA6ORXDywOE/COMv893/KiFmtLw+2mmzz9ux7R+U5j1kLSmWSz58td/mnv33uD5xx/jGEBJ4abf7fHe8+zZlk8+eYy1Yoq23285OVmRojBHjdKTTBoc30tn3VEuRr5vQ/B4P0KS7lZjDMvlkmE4yBOkBE0tDMP64ozKGvzg8YMAOSF4hqHDh8BytWK7Xcu+ZatpjWnqOutaC5kgRfH/UCRCEsMtrWDRtmIWnVm0bXs2gTNGi5ya0QcZJecsQ+4YiBFCCjSNzfulom0WPH/+jPV2w1//D/8D/h//7J/l/UaJR4dzDLmrruTHRRtfa81isUBrzXq9zt4hdnofMMkUlvhgsViw33WTlIdShnHsJ9nCYRgZxoFxHFgsl0hLkEEr8H6grgW7GMdxileK7E/TiAdQXVcTWF0K2XM/hf1+z3f/8A+p63qSavLeT3Fu+bwiJdT3A3qzYbvZcDJ6Qs5Xgja4KmuRq0MxuYzg+fy/TQaDWawx+y/GyGq1mu7X/P2vzHE74T28IAZfRnSsUxyFiDJhBYmYRdZIYlYcQ59NxTVNe0aKA3HscVVD50VvOA29dMKCUEiTko4oCuAoYyjG8Shemt/f22vqnNw3zwVijjF1vhw1L/7PPkKKyIccSYoqTjr0YNqbjTkwig9F4oyxKLmOyUdKAUpnsDfhjCHEQBoTylhC9MK0Ta58g+zFeRjqCTtT070REP64S/7T9phSwEKlA9ic30/B0Dje9WRpkvUpkHE4FElLDHsgZhWAucS6UqzT0WatYdAuYOuasdsReumsEja+yhjdbD5pK2SRfO9jSlhXk5IoDKQExjls3RILID0Bw5GUPDF6tJUClmb28uc8ftSc98/NkG4atJA16ERjs6pq2uWCpm3o/cB446mbmtPTU/phS1NXaCMbUgGBgz9Q64E8UOLUogEyMETGQdoorNOEYKeqj3EWU6oj8TDhQwhYrelDoD49Y32zhkHYqS6L/hdmW2m7kJuqpoehjEhHiGbhQUtKkQd8SiQtmmAF6VfFvTEngcYUHVap9qRM7Zd22KncMFU/tRGTDhn3mUWtE+vr56yWSyotkhBFM7Sc++2qU7kfIeuVlU3xkCjMNoYkk24MwgaxBPZjIlYr3vzJr3Dz7DH7qye4fF0+BQkcMFxdrbm6umF9fcN2u2Pf9yQU7WIxMWC00RgjwfrgPcvFkpvra07PFgQfGFLgqz/1dXZradXzqWi6jiikndIYI4wQK7pby+WSu3fv8KUvv80bb3+Rqm0EYMyb5Xy1UEiwgPcvLCLlmC9Qt5P6Vw1cmh/HYHG5ruPiwPz3igTCsw8/oF60LMaR1YlIeAyD6Nf2nRQbQvBZy1njQ8LGmAs1Ch8izhlCkCKBk450tIq5oCLJmrEmaxiSN3f5UwCrDHwCzaIloRlGj7UVu+0OdfeCm5vrKZna7/bSWqsslXNcB4/R0PcdlbMMmeVTZ5fjvu8YvTCE5kny1GJb7mUOxFU6FF7KUQI5V0lAK4L3mqZpcVVN0y6wlWjObW/WjF1PGEe2+33uCkDcoKeKT8JanTd1mW8leIdjdiVIsKBNROUAmVzwMtaDF2On5XKBHz1dJyZgzlm2mw0h69COPkhl0xi8MdQRhpsdw35kt97w8LVHnJ7foVqcgMlr50vA2Nvj6QDmHmEnch1Hs1CuvZibgYAIqgzW2dj+NNBvPsaP54CaWux//I8fvt6U9n/rGlzd0q7OGIwmDZblaSB0Pc+ePObOw9ekjVsdWPcphqOkpgQeRmvqRcMwbNivn6DGgRhH0XYPUsxNxEmTLPQd43aDrhYszi5o779JCANDvyN5j3E1vtsT/YAeRbs/KUOlLbuNp10uub68wtVb0Jq2aaZ9yXs/GVDpo2d5YPzN1+j4KePvhfuW2RHdfp81W+MEjk1r4f6Gp+/9MY9+4i+AcSQMy/MH3H+r5+aT96iUaAtqrdAKjM5h1S1Q6IVxmZgFtgegVwogacJ00q3rLAWsMibSbPdSihe+cwq+5Rdm9eN0ULzLwY3K5yM9HLNzSCVQLnNxDkwnEoaXTOh8rtK2rzQYV1O1C+I4st/v8H2HGgZClK6haX146dOafeorsveWYtanHZ+2XoESbVkf0AmsEjOVMg8kbznsAVpL66K8kFmlKYPF5fPLfVWH1k3Zt8JsfVYZyCjPVk9gZNEb9rnTJ4aE1tJ5Ip0doKx0vw2jR9lK5MAqjR3DtLqXvVJSbwGNRBIN7t69zz//v/xfef70GeM4TntqCAGjDx4EtpKOQZKYXDnnMkNLdJCtMfiUUCbPl5SmvVMrg9WGxjm0ThN7XikxofNjoh8CXT9mKYlECIlhkBggoBjRrC4u2FxfE/oOUsAog3MWY2SfLs8JDiDx/LlrrUSaDplBo+/pOst77/wx65trzu8Kg7hetPDsYPicjHR0hRgwCGPaaMsYemSjV/S9J6WcuFO6AhJgXlLAmceAP7y75lMLSp91zAEa9eoATFPhrUANOb+LyoC1nD94RO1qbp5+hHEVJhdaUxKNWqUUfd/z6NHDbGw8yHMk4ap60tWHg95rVVUiyUCOQVXAWkdKkScfvi/xsxcflmEYM+AoxsXOOa6vb0hKjPCsc6TYEmuJR1MiM+DFg+Lk5JRnz56hT09YLJZT/lziAZXjBNdUWZM7cLpYyHhKAva4rOVfNw0KcFb0sZ0rXb1SwJgMxauK1157A7dasTw94ebxE549ecLN+gYfImd1xXd+//d4/a03RdJBHbq8N+v1lPeNo1x78Y2RTgkBMU9OTibvgnmxeA7QxhglNzB2Yg7L2mQnrKAAtMZUrG+2dF3POMgzM8YwDP1sPUtTB2ohKonusTvSiC/AcF3X08932y3W2um+SxeUommb6Trrpma72zKOA3VaCGiXUb0YAirLuIZQZG301NVUrmMe1xT/JefcEYBeQMHyd5HA8BwYta/GUYo5RznJ7ddTQjmHGjQqM66ntUmpYgdFc3oPZQ3Dbk2/X2NIVMoxbtdoa1CmxfmBsN+ilcgtlVip3E81dZIpnBPZtkJ8URzMWsu5HtZIyYFSFJZ+8XXR0+klqeQnpFuUsobP1/RbwGBMxOixsy7xQ3wpgPCEgeXPCinkVTAdJNsUmbgka6RW4mUFXuLgpFC5YHvYg3wGTBNRH1jEqNJ9zwv5XXl9isnJ3fayoJUPyPdO/n4IeV+G4TCBv5Q7lRKFBDaRMaIQNuEQk5a9POlIjJp6qQnOovc7xqHPJC4YYxScsNwnmw33EDNAbSw+RpHRNUbi5HyeWluUddO8Fcm+EWOrfA0z6YzPecyv//McfypDunLcBhOn95FyS6VFO4dratqTZdb1Gbm8vMFay3K5pOtHYMRaj7WGvhtISTS/UGTwVTaZuqooelVBRQaEUeGcxXtFVYNzEgSqkEjKSJeyzoCCVugkFZ2kEs8vn9CuThgVok0GOCuVkQIEHRKtoh8apmT4ICFRDCI4atcNMUpVlcOCWwDboo02Z2eUpLdo28zv+7DfH0DbEKmMRhNZLhqczayMfF5zzaU56Au5KpU/v7SJlI2hAMUguqUh+Jw4QvSezeg5vf8mX/zKV/mT73yb/uoprZPvjci1D2Ngc3PN48fP2G53dDtxs3c2B055s6zrmrqtcFXWpvMiLXL34T1ZkEJkCANXTz7mC2++wbJdstttZRPUKjt4Ql1VKCXXXLct7ckJy9UJ53fOaRYtTduitMM4R1mFD2vRYRG+DYq+MKZnP/88AfSP23E455cnAXNh9NtgirxPUzUL2tWKod9jnGWxWtIuFrnt1bPdbalqx+npCd57fJCqt/eyqUlApQlB5roxmqEXp18JsEDHvJFkHc40PSNhz5VNSRmNUdAuWtEmJdHtPacnSxSJmJZcXV4xDCMgLSRt3bK+vubs/BRlJaG1RlE7y9iPErhmoDgEPwXu5d6U6qvclBkwku9VDEE0yfpOJHPyZitJYjbpbBrRgs2uo1or9tsdOpHBMibTtxgj3dBlPUUJ0pVOeb4eGEKl0FSC3pSS6NIFuVfaOWl10hqtNGMcUSq30moBbfq+w4+Guk3YynF9dYVWhqpuqGop5uy1sCqaYSAEz3a95u79+9x79DqLs3NsNtkr681tQDiPxPyzWbs/h+LbnOkg70lZa15nKDKD3LNg9zYweHvsvnQ8zwGzH/sjN32lNDE04fg6nbWozHyzzSmNkqJAtwYzek7u3uXy6TM+ee8HnN25h60bFJoUAv12w36zo31wIj9LwuIz7RKUZn9zRfQdYfSkMBD9iB96YvDCwqtqlNKibRg69NCzHfaEoaM5OWW5OhddYiD6gbHf0+078B7rHOvNFfGJuPuuTMV6s8Y4h7OWyllSMtLxM0jrJMYexrs6FGKk/TPHIylBNllNGfmxxuQWedn/0qSNXwDSohsYZh0NMl78/oab5x9zcv9N2ZuV4fT+F9GmZvPRdzEZCNJKSdwhD+gFYPA4hgqHfT6V+ld+vknA0ulZBy9sT6UmTdgJAJ6A4RI4z8FoWbtljmTQdwKUZ8ByNhsp400A4hkgTESXvQMATZx02qSrqEhWxGzOUVjoZQTrzM7QVQtuhxkNwQ80aYQ4ItltAC3yN585Iz4HgPzjcNyC/KfjswoWIPdemPWemEHBcsGyj9q8Jwib3ugZ46nMASX3sTDJSvGurJmHWDRMAMfxec4/J2bfEIl1i1xCmXsJiRnHYZy6ZmKMWGOJKb9PHeLgEALRe0JIWFfJ/pci+/2em+ubw56az8T7EaMN49BRNw0n2mGcJYRIXR+8J+b7QTGuTSmRQpxY1kbrHINW0/WV6w9BTMS6rmMcAyHrQnrvCd4zRhhS4sEbb1I3Nc8//gSXIjrHDQLWHxi8xXy7nM9cw7MQOExM2aMAhq6n6ns26zXnd+5R1TUxHNjLE4s07wU+MxZ98FP8DzAOA1fPL/H+YFoHnx/8/bPEuS/9nVtjfS5F8+N9zEEVDcUaXStSElB2dXpGv72evGyU0bnD5ZA/vvvuu6xOFjx69IAQvXSDzu5zAU7LIetbiWt0ZqBmAzuVqCqXizoiBVGAxsVCzFLVZktbC1nidLWgGCkqJQWnGB0xJsax5+RkOTH1qtoxDgPO5UKHFUCnrqscy9ZCdsg+A0ZLG3VhymoNMYwsKpFhm+vWumyenLTine9/XzSTswZyU9c4V2FMxKeR0Qc++f47vPH6G2yuriZD4sqJkZ5S0n16O/YrMXCRpCqAMZDJVWoClkHIGyket+qP4yCG1DES8v3tul5M030QOa0obD6tDdv9Pj8reQ7WyWcNw5DzH1kLxZROCCd1XU/Fr/LsSu49DMMELpc8oO97fPAsFi0qKtbrNbvdFqUUzjoGM04eMHkAkYKsZ8WrhRmeUcDhAgjPf17GHxwkFuZj81UpzH6uI0UxV6YUvIvJL/gwipRABKxDNyuaZkHlLxh3Wzo/YqLEOSF3XR5r5JaC+yzKTAGVNL7vhTAFU3w6ERtmwLycYszYUJQuWlKWa2NaV1PIxMIM2Kh8DYfjdnHgmCIw3+fL/lzAdKX0YT93UkiRsRZybqZQ2YhSGYXyELzMLylOSccvBI6ky5LIQsSMR4kW8Sw2QeVYlUlicr4vTeOwMHSnW/5y3Ob2oV72dyWa/cQs/4HK+KE6vD59ppjRERWuFrkJOw74cRApGS16xSoeiJrlfLQVA2pTEvBigqc12hqSMqSsWFAuK8WAzteaYjoQpf4HOv5UmsNQ0G19a8DNW2AUaMPi9JyLB4/4+l/6Oa7XWz74wfv0fc/Tp8/oup579+7NglMxW5oHeVL9GkFl7Z4s0gwJ5ywxBLwX8CQlBDitXWYCZ8Q/MQ2clDe0SmvurJZc3lzTnFxgjGXsthkwOtyWOdCRUppa6kjZsEtxmJQcKm7jOJIQAGZerVRFM4PjhXr6fDLrY/a9RZ93uv+qGIUUky41BeklIC7PqGwuZZFPKeJHmeRzcLQsCFOwQiIMA6RIwLAPmje/9nPcubjgW//uNwjdllobYsy6tDHRj57LqxuePrnm5mYtwB/CSKyq6lCJ1hpXWaoMkCltePPtt/ji176GqSv23T4b/AzsNhv6fSf/dQMnp6J5FcJI3+8JfsRqTZV19Vxdc3p2hq0cTbtEGUeIYCNElQXAp8rxcTVtPpZvj/X5eHi1jxcTVSjBUeawpDmwIMGwAJKWs4s79Lst/b7L7XI1Td2w3+/YbndUVc1iueSgJeyJSUoHNuuZaS2BiVbSKlZOyTmHyU7rKfUC6CemBMtYi+HFopSrHafqBGs6xmFFTIGYRE5ht9szDiO+Hrm5vgaVMFpxeroSo7dZS+04DnjvWZ2e0Pc9dVVPoIqwFdR0L5Qim+rNNqxccdRaQKgY09Sqbp0URLQxhBBpGmFfRJLIVwRpe+37Xv6eEtY6RIM8Tt8ZQ9FNz0wMZ6e86yCIn6buBGstyUUIosOotBKH6wweivlcmIpb4+ix/SB65Cj2+w5lLNYJm8U5S1JFtkLx8Ycfs9ntubh7h/uPXqNe3Sm2sEhgNBt5L0s2U5ppS784Luc8x0LegcIMzetpKsHF8Xe9+PcJyspg3KuSoMpRAPKXBucJCpRibZVZrLJPKaVJDi6MY/3skscffSgMV2MYxpGE4fzuParFgqQkoNG6ompW9NsdvtsS+p44ekK3p9vv2O92sjrEgKscbbvAVhVGKaIfcvvrQLe+FEaVqzBVnWUqDEob6tZy8+wxYb/BxcA49LjgMcEz7jtC20JVo3XC52SvPMP5nlmYODGPg7JGF72vIkURc6GmrD2Bw5hUiqN9tqwxJcYJKXJz9ZyTe69DAX9RLM8u2D2tiX2X0wsZpFMbPYd9Zc6Wm+8xnwZ0Hu1HSpi5hRQxf0+ZZ3OGxeGzIaUwvY+81kkYId1NosWfgez5WpIUJXgyCkmAyudmdnVpazR5zqckLXRiqhvFG0Tl601J9nsjRacwdHg/EsaRoe+oF5XsQemwR91eM+b/LtI5P9ZHKqj/y19+WQG6HH3XTSBaBHyMuOn3Zr8jqP/0Z5knh7GRgROlpfgYJVYsBAWFmgyj54BwGZXy8wzWpuzLEQ+MKPHGCPSjkDqGUWSj/OixVkDtKbYkZRZyxGeDutFHTF3RLpayV4fAerslpsSbP/Elvvj22ywWLa6q+LV//a/REWpjicOIs46UzwFzKI6mGemhEApULnRI+3uTC9RmAuBiCJNEVtdJLBCTrD2jFzNdj0ZXNQ/feIPf+/VfR+VCtnVW9Ma1mvbdork6b9++XTBVqsjRSKIcgmfsB95/913e/OLbKCWGgjFlDnCK0/4eY0I7zTCO2SxQhluIkaQ1d+/fF1mJGagseILEDxrN7Vj3s4fy5wCLSyz02R/0yjCHbx9Tr8Vk/ie5z367xQeRIkk+0bYLxujp9lcALBYtP/Mzf5GnTx9nQLCa9pi5zIHO3QEmKIzNRT2dODs9ZbPZSKePivgQs9SM5MJTYQhPVVlOV60AwydLyEClUsKw9d7T9x0pRayrZb6mhKsqrLO0bYXNa3hCNPZRQs6qmwpIRzq6wXt80GTqJXVdk5KHpKa5brNkRQhBZDnqirap8z0MU2yttUJFjbMV7/zRdzBKJFpMZsEarSHv9wVUL8brpbNoDrTGGCcQtqoq+r5nyJ4nKa/NWpspTy7PZLfbkZKwoYesMb7b7fFj1lrP+fY4jiitqKuaYopZjsJojjFOefocfC3nXIDqJndKlVw+RjEdnGS/lEhB1laAZWslfxlDyDmxzzJCudsqFLamjFN96/vnXju38Zzys7LGF5LL/PVX4RB87+WrkZr2ylLsnO93+UjZMCwDSElZlDPUJzV67KEzjPs1yQ+EoSP6IRdP5/FXnp+AjqIbndIh5tNKCQs2/13uO7M4tmBNiqgSk0dPjvvKXqCUoQgZ395n5jhWzGDzgSEtuZ+8liaWr7CaJV5UkE3j0zR3tD7kwlobgo+5AHr4Tp8NKo24eRIK8SvmvD5ZRKrlJZJk8/hFHWLpw/MrxIPy3uNnHTPL+vAob3UTHo2Lw/OXOVMk6vJzpzxLKOut/C1L2ALGOJQLmBgwfhT8LIz4bosfRyziw6byPEIpjHXyHLX4bimpLItcLYrKyDNVqJxTy++lwiYp1/I5qBI/6tz9kaLrF4DMlwBpUMAcoUxj4OziLpv1hr/27/9Nfv1X/zUfvPs+u13Hft9zc7PGuYrFYjEtrGWgHnQ1D7pMiYQfO0QvqIWY8GHIukbgvSWEJK03liyAT06WZ6ZNeSFcOMf+5pq6WeCMCEGXqkm55mNjnOMFVCZUQHHQdDn8V1qFVL4mhClheQGYLN8lNPYDg2nO/C0T21WSRJVzOdx3nYGSDBxlkJkc4FprQSkx7fABbazoG6vZdeRgJWT2zxgiwTh+6ud/icGPfOO//2+pQk9l5V74USqVwxi4vFrz+MkztltpvYmR3GZ30F0rwXrXdfjgaZoaayo++fg9et9z/9Ejzu7eYXn3nNXZeQln5V7Hw4ImkyMSgif6UXRso+gYhnGkblu0q1DWoZVhHAeUttl04SClUY7bG+J0P2fP5of9/cf5uH2e6mWLMQfw5QA4WlKK2XRQsTy/g3v6FGsdVV1xsjphv9nR70Ubse8Htrue5WpJJDJ6aW8U5o/PBhRZ4ztF2naBKJwkxn7AGIerJWipkqJyFpV0NnF8Ua5AKaisxgMtNSGuiNHnlk2ZP/uuY7PdHBiBUaRr2rZFqUTX9VkvSJLc7eUlKJWNQjR1XdE0FVbr7MoqG7OmdBPkuawVTduyHBNn/ShrWzYbKYGi0Yg+tykGV+DqijF5hnFAk6agMYzCFpSqopPNP0JSSVp7jZyPVmpazwoIZYy0+jnrCGNmKFlLVQWs1SikvW3Oai7SNt5LG/FQ2BeVI+02OFdPhoApQlWJ8c04DOzXN3TrDa+/9ROs7t0FI8yaVICLUqDjNnA71ZEpxavD85UWYFmXZp+hpLCjKBt5/qzccny0eU/jRdb/cNhReVXIS5LQw9FNvHUkssYVShJYXWEaRaOUAHlG0XvFxcOak4sLtps14zhSLw2ubsRksAC4rsY2S4wybDdXhG5LGAZU9GzX1/gQuLgj+t7EyPrmhpurK9pFS9U0KCxdv8dWI3HosuGjY1QKbSxKG568/30evvEGKCtrSVUTh1HmiR/Z7/eE8ZQ4C4DKc5wzHedBqIgbuImtpHLRslTa0TNn7nQoiiZy8mTzfslhr5VAOps95TZ2lDmMaeOIyhCDR1mTzbfUFPy9DFC5DRbPQd15IeMA+KoDeHvrM+bve1ksNk9QUkyTVjQp5ULDjFmo8vdqRYwCDistpn4hRRLSAplSQoVxSkISCRUMaGGTmLoVECNr7aVbrBWtLVXd0O0Mfujx44DxfhZ857E+AzZfvKYZm+PH+SjrHy+PMcoxjyflTzFGcSabMRmLXa4w6vDcU64UiJJXZv9MDBV5rXymMAPlZ0qJQY6Ei4XQcCgMAJktI2zxlOS5Sv/pgVlEAu9lvwghTsClfK7KAFjKVZqA1mkCMPtB2JNDlpb5qb/0M/ydX/5l3nv3Xa43O/6j/+lf5Stf/SoPHjxAacXNzQ3Pnz7hd3/zt1HDgA4RZwQcCcNIu1jkWDQRRk8MOTaMWYohX5s10vZeVzZ3zhhQhhDFXGcYPevtnn3f5Y6nQBgjPmZHEldxfu8O3/itX0clMWR21lBZIyZ0GXAWzeFCCDmsVdOaMwOHVZaj8cGjrIUQePz+e5ASVVWzPDsDbVA6QBQ2s8lrx5iZggmIYzbIrmq+9pd/lo8/+Zg7F2ekB6/LxesC+Kf8XF/suvnsofzyIs2tgZzXlhcLYNPnwKsxd2dHnrmgVC6IRayS9TMGz7Nnz/AhoLVhCCOb7Y5xHKdcchhHvv3tP2S5XGCsdH+mXDQ5OTk5FAoyqz2EiHU571WKzWYzM6O0RJVbs6PCZ0mjlESqwBiDM4o3XnvERx99grUud8IJA7WqLG0rwKxolEvMEIJ4TYQg5pclF3TOYZ3OwKvHGsOirjMpSAgKJo/7UhBJSaCFSaYJLauJ0dln5jD+dNYONcZIQcnl7oRioJXXp5jXnDEcvDzmUgdFRm6+lpZ9tkg1lKJNyQGLTmiZnwVcljnsGMaRm+s1+30n5nERYi5AC9g8CKuaWYyShBnsszF3yfXnOEZh+KaUWCwW03Mlf473nuVySVLCJO66TghdWtG4hhD8VDgssb54/RzWGZtJayEEtDUTUM/sXOf3a74uzdetVw0Qnh/lekqcklI64ECQY65MuMnF8MlXISWSBhUTYRyxTV4/E4DGuhY/7FFKmLIxyz6kbA5njRHyk816sxMgfMA0IMtJcDiv8i4fZDzb7JmUILNF898TUDrZkxQPjcla1imJ/j8zpqvckPxeDuZ1U8E3F3Kj5MIuS3+CSCLM76eA0qWzX+d91pMGKfR4nyZN4ZRBZmNtZkBnVCdCIkzd90IkmMulFSxROpaY4uHDUYgVAiDnOzfb1+R5H/LL+bgogGqJl9R0/5UUul6yRylu75VyXjElAXG1RhmHszW29jD2qBTpu714+pAEdDV6quejDdqK8bfk+xqbzcDzXUApi9ZOjLl0NtNL0xl8Dmj4cL8+7/Gnol6oT7nZ099Dmm5SipGmrXlw/w7vf/+aL3/5bVRMPH9+Rd+PdPs9m81uAlLIiZyxJlcsoaprcUxt6mkB9d7z/PJS9Jn0obJYVW4CYZ3LmsBWNixnpDqrrACU0cfMZvXEIIL+fbcnxHC8iGbQNcHEBCwJpAxcSc5FW/iQGBYGINlEq0wk74sh04tVutuB5Pxn0z2eBVtzk52SbM5B5bnOkvypZJFSatoUo4kTOzNSFkrYDwG7Oudnf+GX+OAH7/DJO99i4SS5RxuR0MgA8tX1hqdPr9jveoahI+Y2B2MO7TpzFnOIHjM6ut2A1QpTGfrtmssP3hVQqK64+/obvPbWFzi9uJNlJyx3797NwJoCbbHaoJxszil4lDJE67GVE0fOrONC3nytUketdvOKy/wZlDF9Ozmd//tVZD+UhfBl1zP/d/nZQZJEWK62ajg5v6DbbYUt1A3ZnG7Jfr/lZr0lRPAhUlc1bVMzDF7MaYydKpDSJeCJUWUWQtFPjIzBZ01qIxu0Negkz/y2KL/og4qQvjGJxbKVfDwHlnVdcXl5zWa9pesGYrwmhETfG9brNW1bE0Jkt9uz3W7p+56+70WTd9WyXLYsV61on00so+MCWTkXl5kRAPuuwxg7BcKFwbDb7LCm4tnTpzx4+8skpAg2DwxLEJlCpM8GnsVcr2ka6kVFGL1oLJqUi8WzdQREgyrmdVqLeVA517Zt2Wx2LLJ23G63k4oxojU8DMOk56SNYehlU+u6nspVdF0n96iuqeqK1UrYKc/iE+IYeDh2nNy/h20bVLSknFRJ2JMOANOtpPRlAegh0GeqVJe5N71WNnl9q4I6+zw1W68L0vyqBLwS/Bz+/vJDQU4GpiDSWHS9pMoBjIqKcS+u96ftUjTPkMKCcS6b2dXoakF7csY4dBAGScpiFC3uceD04g66qiBBVJGTizuMQ8/lsyeo3Z7laoUzLu/J0o4dE1njWQpEtj1hux+ISQwRgx+lhdMarLPoIVfkdQazEpmspcQYQmt0OjAQVQ62xtHn1s8KbVw2cCX7BJgZg1F+VlpiJ8ka8jgrrWAAKZJ8oNtcM/ZbbHuGSqBRxBTZDSM2RlyQxFH03TQ6aZHTyEH6bdbDywCWw/uk+Csvx6mFTH6nmN1lYPglI6aA4kqRWaExR+MBP44ELwWXEjjL/ZCuLInlvXx+VExs3rx/pxjFbCTJ3FMJvJZrNdaRwkhIIQPEUYrQec6HKGZhtqpwrkLFmGGDhELnLhNysP4ioHp8v16B+VsmpD6sQS997i8kLtMLUgwbO8bNmmrRoDPLsGj4KZX3aJtl1NQBHJnMhkI40liX+1vWX4PPOqhwKJqovE7OWXje+9x6LSBK8AIAjX6kz8XE2ww0ITrEnDgHBj/Sh8gwChi7Ol3wn/0X/wVf/NKX+Lm/8ov8R3//H6CNwTiLSol/8n/7J/zWr/8G43ZLayxtVTGqyNV6zenpKQDDZjPtEcMwUMgVMR6MnAoAc34mnU1lHSnxqQ8w9J7trmffyfV5PzL4CFoTElxcXPD8o0/QY0BrMZOpnMUag8st7IWRbGaf/1l7W7lnxiSSFumnzWYjhSZjePjmF3j3e+/Q7bYon8SU+dZ9jlkOw3vP8mTFd37nd/mrv/RXaNpF3nMDKgSCAjHrkSIN5FmUzNEc+7PsjbdBpxdAZa1fydi51E/K1cRcIOv2G9Y3V1it6fqObt/jx0gIwxRDx8ziLHNrTJ4mk6LK3hMzsCSFSp0lAWS/Q6nMFrW5iyavE/Fwv0WyTQoHylq22y0nJ0tiisQgz3q5bKf5LGCzzN+IGCq5iZVbJBrI5tTScecyuCrFV1k/iml5YRQO4yAswwjOiaycyVqbIUiBQ4hgcr1Ka+lWUkkkEhVEQr4e6UBQVsCscfREEn3fz8BomQt930/XNs8TCru4sLNTSnT7jkTKbEe5psLeLFIPCViv1+y7jt1epLCMtvgQBUCLUTpgkqwzTSvMX+sMi7aVe1JIaIuFnJsSclbIMcrcjNB7P5nauRyHd0M/ddyOo0cbw5Onz1icnHBxfsG+67B1Q4q5kJsy0I1omh7uuWyot4lNLwPSJ1Btdm/hIFP5qs3dco3BS0dplZ+t7MuGiCLlrpoSY8n1S/wU8IxDh8l7bsETou8Y9xvIkkOKlA1YM/ksYyXWVkjR/aBlLN8RDyCoEQ8rcqwWw0jMxQ4fc1EhyxuUpTlTXjLAK3GVClI0ivlzU36jxIy5mKB0LuRmdi0hd5hkU1eVDetUGUP5HiqOpItMJlOSsuY1QJKYgCTdO7JGBEhRSD7WSaGzjMWYDgVLo8WFIBXWdOnQK12is0I75VbeAmtL4EjZd+aFbzNHez7V5PkAEudfnVjO+f1qXtyc7e1zKTQtHfFJaexKEbVh2O/xfUcMHls3aKeIHrRThDECUqhTQRO1l3hNa5SxiNSFBzS4WrSHi/Edh4LBn+fxP1xfXpIGHGUMXmsWJ6c8fP11CIm2aXj65CnX1zdsbjZcXV/Tdf2B7arEGGLwYhS373r23YCrhLVWNNdSSozjHmMUlauoU2ExJKwzGfgJVBNLQKOcJvmDNpQGTJS2977bHwDVPLhB2A4RDpFBXnxL3C8TUSZXqchrrfBIUACglDA1DuAS+ecF9z9OGg7BOTC1lQvIHMIhEJBg/lCxLMyRsgnOJSUkWFaz+ZMBZrmkqQ3Zp8RuiJw+eIOv/czP8O3f/S32l4+prdDehZEslZc+RK5vtjx+csl2u2cYQp4k+R74zOKM0k6gY4TRZ60qCQC6FFEds1Y82ZB21zd88Ed/hHUOrYXhdnrnDouzE6q6wWVHWVc7nBYHWa2gaipQDcZUsuDmcwmDtMinkFAZtL5dHJpvmJ8WJN8GBl/V42WMtpclrQUcRoEyjov7D7i5eo73I3XbcHbnAm0s8Sqx227ZbLfinrxoOT05ARJWS9tmCWK7fY/3nm4vJovGalarJavVkv1mS1XXhJhYLlsqZ6mbGqUPhpTH5yc6fyBtac5qKmcz6Cou7k1Ts1lv6fs9l5ee1WoxBZQAu92O/X4/BWjn56csVwvOL065uDjLn3Mwk7yd8GgtVUNrLfv9FX3fE2LAZxbC0PVY5+hUz2oVGfus2WrtpM1pMqPBOZcZv57dbsdut5sCYecifTcIA7qabVjp0O6jkDmdFBNTYz63SjW1rt3EYKicJegcUAiSI2BQSqicnKSQ6IMYcPRdzw0yZxfLBee7M9pFS9/17Po9j/ot915/jWZxCkqYI6XqLZv9YQMv6xS8GHgWZonMtSO89xZAfOtIB8kPeV1+n1vj+9U5XqwPv7A+ZdmJ8m6tMuOwXpD0wQNA9/ts+iqtn02eW0o7lK1oV2cYV7NfP4cU0MaRQiBFkTqxtRRUKmMnrUJbN5zff8DV8+dcX11zsjqZtVMbuv1equMluIuem8vnh1bKccDmANlHj7aGkAJJicFbyBTiI5f7dDCDLWPIuaq8hA8R46psdpYmVlBhYMnJqcxOj9PaklLKgXrMxercht9teecPvsFrX/4qy7P7KC2s+4dvvc3jd74NQyfaw0YiyhQT0UtyXxK2eYL2Alicv0/A6wzo5t/JKAAgBWpnq0OH02w9moN68m8BmomScPihI2aDG1lPD6yVhMhnzEHnkkAQAykEGTckkmQAOeHNjyNrsIl8SIWqahmTMWQNPIkvUgqMgxgSFqNPcitfCCPGHsDkT+vegYO3wqt0HK7hxfl89D7SZGZUNzVxHLA53iha+CFkHdskxQgBdHL3hMrfVdbwaa04/s6YtesWiwXr9Vo0rWNWtU6HluLy9xACfgzSPp8S45iOYs3bzDQBZtWkQzz6kW4Y6X2gPT1l3G759/79/xFvvvkWKUhAvd1t+T/+7/8P3L9/j7/7936Zv//3/2Munz7lD7/5TW66HUMcheihNNvcsWSssGwKy66cS9dJ8Um60R3nZ6egUmb5HvbEGCPBRzbbPZvNnt2+ox8GRu+plwtp0daG62fPqZIk85VVos1qBRzWuePHGp0NofLzCQdwXVE0o83U7q41WUtc7lMCtuu1aL+2DW9/9esobfjo/ff51r/7bcbtWvxMjKHo0XrvGbwYjcZh5MFrr3H/wX1sKyxD33fstxtCt4Mk11KdnHFyficDACX/uF04OD5uJ9IvjusfNv5zGvWK7MNTDJGS3LeUMEoTUiRqg1EBbRIXZ0s2F2c8+egDvO9Ba4ZBiq/aWKqmlS4YlXPOXOgex5HaVITos/+Dm3wlrG3wY8RQ9nUhFkm3ZyYsTWbrKgNUQpSIyjIVEJPC6rIXJKqqoe97qTupAiwonDmWGVQqoJXGKIW2hqEfMUrug7AUZf8QzWsZgyJFpPCD6PH2XSfnoA9SNBjN2I+UMWe0AFvei65uzNcnXbYyj/qhp+v7qeBZ/EsKuNb1fTaUDVOaLkVQL/NcaWKIGCXrpdFFRkrTj9m4zhhcXZOUZj+MbDZbrq5vSIkMSovRpnMWbRS2lv3HWfFCCiSaStYVBVS5K89axziMJKU4uXOX588vqZxl2w3UlaVtG7abjRDblMOnSL/fEUbPMAzUtTyviMa1S84u7vELv/TvcXr3LkEJ0OxDki6TpLG2SE1GTDYENFnCrtCiyvw+innynJzH1fP4vHQZvipz9/YhZCP9ImiKyP6FDGCWa4+RbDYOaexIwx5lJb70uzXjfg1xlA6V3LkseUdxZxCWbJmHhQ1fjASnErCSmE6nSAqJGLLPwFjiO+nqLt2fRfIgptwBEjN+o4WsQDrCSGfEGPLvRXw8EORUqV6TiEmJHm7Bh5Se8kphq8u1xRAzMC3fY7R8b8xdZkXSreCyoSRv44Bx1cQWnqTLEiQleuqyJgmAXWRAJ32yiWgkxwtkoQLslvfEVKCLQ240xdiH3z8mvErsTl4bVb7HZe8qz+w29lMA45S7e2MEoyy2WqJMhXY7xv1a/Fr2e/wgOuFV1U/FQ6VLZ4rce2UMWluJq22NqVqMdYzjkIvbcg8nnxNejuPMX/u8x48cXc+ZrS97rZzAdIJa2Etox+quQdmK5fNnLFYrdus1/TByeXnJ+vpGFuCYiCGx2+/puz39MDCMnq7rGAZFtxfdTGcdVSUC+KW1LSVF5QA14nNiVVp0nDMEkmgmRUjZrEnpUoHniFFaGDJS3JBJE2LAZlDa3mYElCplTHl0HBLZwriYswMP1V6TA7I0vfe23IG4Ix7OrTCbkiq0ezUxgOattrcTxjmDuCSWVjQuZIJnPdQxRtrTC+4/uMe/+2//FWbsaGrZcEQzVX7Xh8Ru3/P88obdvsN7YSDHqGZJfMpJi6ZtW7q+J3gvLaipsJoVMR0quwXMXq9vpoWpbaXi/fSTDzk9OaVZLTGVQ1vL8mSF74es9WZoFy1ndy5YLAVElmpuhXGaFBJGyz0vi0zi0yfTbbB4frxK4PDtc9e6GMuoqVAwn78vsD2UmnQmbdNy7+FDhm7P8uQErY20s2ipJq6vrzO7dGB9sxbQczLJkbFdVcJQEIaNPLcUU3ZYtgzjyDJBCCMnq1XWqXYzwEkfndu8qq2ItIsa5+7SNA2ucux3HYtFw/X1DV3Xs9lsIQMwSh80u5fLJecX59y5OOPkdMnZ2SlNU1OczudHefbHTKsShIubqgqeq6srVqsVzlXEKG1i65trdps1JxcXLBbL/Lsq66eLmUlxCL66vOHs7EwYHjFKm+vgGc2I0w4sk+4RzCqbWsTttTezSieZsR3Y7Xas1zdUlWUYPCoe1gpns+FJ/p3lasX19XpKpr332OzyvNlsOD09wVUV7dkpylhurq5xTU2MmmYp2t8pR+0vYwvPx8btcTh/xnPDulsDPM9jeUkCjOnF6T2zX3ilgtzbhazPYqKVQ4JHhJlTNVTGYKqKauxJ4ziBRnEcQCuMrXHtgmp5ls3PpFWtMGqLnlgMMTsUpyPzK2UMF3fvcvn4KZubNW2IVNnYxRqN98OkW6aJqBQYh33W8U80dcV+u6PvexbLpWiQaz09z9tyQLcTGK3FDfjQHil6hkVXPEY/af/N71VpIy1jLIYgwe0ByZaE0xiq2PHhH/4Or3/t51jdeQAoFqcPeOMrFe9955sEv8flc9LGoGYdPypH0vOOoPlxBBrPxj352U/rMIf1amLpzT5jHkuozBiOWQM6jIOw1LJhSIl4lVKoOFKcmGOK+V6GSY82ejG9IiZCGCZGWURiHq01aVT4vkNZh3c1tqrFcMxYJoO9GAnjkO8NjEmjXSMMtHRgb5d19NPmwyszf9XxWBUKQekwe7mHgdJQLRZUbc3J6YowDiL1leOjcRxBi3dG9IGQPCaarEHKFHOVvV2Ki8XINGvXyTtJyZMwWKfEB1EJoDRnlcVE7giCTTcyjjmGzCCt0oqhH/BjnOLdMn99DLi6AaW5uzxFX69ZJhkLn3z4Md/4rd/if/fBBzx//pwYI6uTE6y1fO/pU37v3/0OX/upr/Of/Of/mO32H/Bf/Zf/lD/+9ndIaLQ27IcRlWRP3XUd2/VaWDYoauuobEVdWVxjOFkueP3hA+6eLyWe1Ye9G2D0Ize7Lc/Xa/pxJAKnF+diXBlHiAFrwTqD05oqA8MlhhENVovRWSfVSrt3UIA/gAYhhMlkiGmu5f0qSYvysN2w22y5aBpee+uLvPaFL7FdX/PJhx9ydvenwQe++/vfZOz3U7u4VhrXNNx79ICv/dzP8ujtL3Nzc8PV82eEvqfbbdnv9hMDNQF3H73Ogze+QLtY5ZhMAeZofSyJ9FGx9VNi4vLaywpg+fI+M97+8TsmhCVDE7mrJCXGoWN9fcnVx++zWV/R7/ecLE8YeymASK4kBTApTFr6vsdZQxgDbtFijKHb9zhnxQNDi5maTNwe5yqsEjY8qDyuLEMvoFRdVXlvYyrqFXLNtJ9F6fwouWJ5/qVwUzT5gQmMkThK9n4fI/iUu988rqowSuN9yQOLyWthMUosV/RzldIMwyif5T1YKfZaoxmGntpVJASYG3PhUluDViazgQUsLkxb7/3UHQBqknXbbre5qxXIHb4xJUYvXkWV1uz2O1BazOJc/rwgRRUVE4MfCAm2uz3XN2sScHp6yocffETbLohejMSapsGQzaNSpF0uWS4W+H4U/eEYcU1L1Irr7Y77jx7yH/zyL/ON3/4d2vMzjNY8+ehDTk6WPH78Cavlku1uy9V2QwiRt7/8ZdrFko/ef5/rq2t+4mtf5a2f+ArW1Tx8/VEunEdCCqAtxokkVgzSDQ0cSc2VZzsHd+cyEnMG8zzunhcH5/vBq3DcBrJLLDy36FTGYV09xYYx6szYzUVObSlmvfvrp1OcmPyAjiMxJPCBlLuxfMhFnhmImVIS4FeVFaQQEJiK62oCPiMxhWz+LEXakKUEyF0lJdfTWkMs5EDprI0+HL437/1F6ixSCj/HskKxEAy1rAOpsKNhkiGbS5uWe3tYzXWWmJOOf/xhj0MpIVYqJllTH0Z0UqLRr0SKTXMAd4tm8xGzd4rFD2Sg+R5T8oL52C05QIG/y9pIPh9mn1E+c7o+1K1/H6QtSmVBXjPTd5TnqMpGzpwZbqgXS8mJvcd3e/zQ4Ycd/W4UcFgrGRMhHDoXrUMbi3U1dbNCNR2VVtSrO8QUCd5jcsHiz/v4kcDh+SD5rPe88LrSVM2Sul2xWJ2wOL2gXj1mc31Ft9mwWK3Ynq3p9vsMAo8sV0sxvul6un5guxNWX9cNQKLXI3UdaNtGWLQkul7EwGNMmJQymAKuErq6jdIe6nI7KUirwUEnKWHrmnGzmVg+kKZAvqprcUyPUoFTlIo/ucoBKiEBNgeNm3Jf5gld+bOY4BRJitvAsOhFBSmupIAxCZXyhFKHTXg+IW5XQm6zLUulZb5JaK3FjCMEjLakfs8f/96/ozYam40R5nppwUf6IbBe9+x3gyySCM19Xnmcf+dutxMQWufqzOSMKYtvuR8hhMyqOLg8rm9usixIYtNck5wmKnBVJQZoSoJ9YzWLtuHevXvcvX+fphU5krptaZenaFthKmFPZ8XWCbD6LCbEHNB/2es/7kcJpCissDR/Tf68HRgc/36cAKqgDCd373NyfY3VhmEcWF2cYJwRYyrr2G02+OgZ+oHRp+wWPqtubQ4yAZK4wmq14uR0RdFdG/rIarkkhV0O+hSucodNlWNwWKr0lhCEqaB05MKd0S5qdtsd6/WW5XIx6Yf1/UAx5RFd4JrVScvJyZLT0xNOT0+oMztdaWHgzquNcKiyCwPCoLLRm9ECdg9dL+3nMXF2cQ5xZLfd0a56Pvj+O3z19Jx2dUbUVtpokaBhtVjih0DX7dnv92w2WxaLRnTsosV7y+hHfPTYqLFGi46UOmCIR4Hg9Dw1fowMQ6BpKqqqYb8XRkZSKb9P5DqK3lSMkaETcL18rrUL6rqGBDfrG979wQ/48MMPePDsNb7w9pe4e+8eKmmuLy8FVFsYIgaDkkUSjubSXDu4/Kwcx2y0w5idwDJVtKZKUAaQTfaQz5b1fDa/Xz5NfmyPac6+JKj59KO0tI4Z5AuopDDaQVPhmgX9fgOAcZUUco0UBZRxKFOBMhmMElDKGknYmnaRGQqHZ2C1xUfPnfv32a7XbNbXmG5P0y6ky0MhLaVagOLaSaKX81C6/Z7ddoPWWuRT6hpph5vrdd4CwKOYYMXcmWKylJXJLGXRq05Y49BVJRIZQJFsmIPNpbiUUjrS75NWOg3JY4gY7Xj/W7/N/be/zt03vozCYNtz3vjJv8jjd77J2G0mlg36oHM8Zzjc3kteiJvmATG3CiW3Rm/K7y/SUOX98t5EigHvB+lUUKJlJ/qNWedO5c+ISswkC8fC2KkVUyZcTihDJCmLsWLC5VOUpCSD0CF0MAwE02GrWpgiRjokUBYNjF0nXgFJYeoW17RZeignX6ij63lxPrwiM1gd9tzpmM3jF9+e49KkcYsVzekd2uVz1jc3jKW7LgOSkYOEWAgJryKDClNSVdZCrTTGBGGyZukD8Q88gPXdvpti3imWjMVsLqKrhvPTO2y3O6Ldcn1zgzMGP4i+777r0MbhtKXvelztSCkxxkQcPEO/ZvQjJMVu37HvRoZhpLGOT97/gI9+8IOJ2WNczfLkhL/0l3+O733nj/iVf/H/5Qtf+iL/8T/6h/wn//g/5X/7v/7fYFGiz4vieidFy8vL56jM/FIKBhUxtmZ1esqDi1Pu37lg1Ta4xk66/pDnSkyZObzDtS17P2CVJux2nK1OCBnoaqsKZzTOaJG/yd1CBRx2rsJZJezCnFf4LOHifTxKYsvwKGu7sMA17WJBSnBzc8PFvbtSKFKwWK34m7/89/j13/h1nn/0sbQsu4riFWKc5d7DB/zMz/0cb3/ta7i6Zv/4I8LgefLxh3z0/gec3X/E62++SV3XtKsF53fuERWsb65oF0uaxQqVjhNtbg3Xl8X28/k4X88+i3Txah2SC8YYsVrT77Z8/N47WALJ92yvr7h8/ky8NYzFGDEa1lrTzozJ5oBGAUKL4VjJ5SQHkkK4teLnEoKM6RASCZEzWC4WPH3yyTSOrZaizwHUk7hdK4ldC1O25LryjOW6SuE3pWLwdoh1JykMLwluSGSWe8h7psnMN0DKySItGMkAUJiIVyq/d/CeYZA9a/AHbXCRmNMo7+n7MXuTHHIUU9hyKE5OTjHW8sknTyQOiIGESFPFEKhdhTHSHTdmk8l+GGgXS5Q27DthG5M0YZR7XretFFSupJs5xsj15TVKafa7nUhYKg0hYqxDK8VydeSwKNEAAQAASURBVErd1GhtefjGG3zy+Amjijx7dsnXfvov8Nd//i/z8I3XSClxen7G17/+dR5/+AH3L8751re+Sd/3bHc7TlYr2pOWR6+9hlGab/zeN/jKV7/KV3/mp1ktV2w2G/bdY975/h/RDT1fePtLnJyd45oFq5OzyXC3aC+7qpJYK0h3oFJkXWz9AhhcxudcOg8OxbN5Ee1VOSY8ZEqI8tY77b+5i7qsx0mwIx9i7nbKki7ZTwqEIQxIYTuEI237uZEgt8gnaSK2pBx3SeGigLtyrnGSQImhaOVLzq2zrGOKEfQxUFvisjIXQfColNvdtTGMYzZbzjExmZWbSBhTYazLMcWRMJ90Wuf9hxQOa72CFD1JRbSuJS7PshfKZMm1KFJSWTb4YM6uNYQkv28SSluiSlJUKl4yE787AZqjLScllDbyHFOa1jMBYg/4l+y/czztAMSnwrA+HjHTD9L0f3l/zj8tucoU0Kk4O7fZnqbUUTwletPyfEzdYKtGZP3GAZ87OWOKhHEkRU/wI323Z9huZD9WsDi9R31yAbalWia0gtEPL4DDL8Nvys9/lH33Rzak+zzvmcBHMlBbRO+TQrmW1Z2a9uycfr/l5skznj9+jKlaqu0Gu10TxsA4DCzamr4f2HUDy9XIdrfj+uo664MF/HbLOI6cnKzQJkkQlie8iRHdNnTDSEhajMiUJ1hDciabQCiUlg23tLzs1usjYHWqPqTE2PcUx/j8hjwwsvh2yiDurQF6pBcM02emlNBG3EpFa+lYqyulxND32LqBENClcJGCgEh5AIobs57yyTlgpTiAK1rrLAeRE2Ilcg/lu0JKtIslcfAYP7B00goek+jUlM8UeQroh5HNdpvvnQDc5btLwl0CnkTMkhf5HkSpZumUtZi1lYVSzbSQA6I3pUTbrR97QhSZES10HJQxPA4B0xbx/o7T1YqnF89ZLN/jtdcecnJxyvL0lLMLz+rsPFdk7NRyUFocxIzw5aDj/JnMAfdXpYoKZTzL34+AtVlRobxvfo1HVcKCUJmKOw9f56Nu4OT0BLVOoqHW1DRNRbfLhZ5+IHgvbVUoxswoSkmcd0twOowDQ0h8/NGT7CbeslwuGcfAcmxBw5laoeDI2XkexJTznzP2U0osjWgGn5ys2O97druO3XY3mdDFKLq/xmhWJwsWi1aMEp3B5RYtrc00V+aL7LwYo3VuKVNgnbRq9v2Y9c9rgg/U2rDf79luNjx+/32++JNfpWkWLE/P2F6Kbp1zbmop7vuerut5+uQpb7z5mmggDnYqGskGnESupbCHc7ZZgKSJiTFjXBYGZUmSJU7JQaWz+bPTBLibbK5QNw3OOeq6lv8aaYl79uwZNzc3fPL+B2yub3j+5CmPXnuNh1/8Ak3biGlJJbpzLy/CHCMmLxuP5efHv/fyOXhwA5bxdfsdr9K8nR8vLb6+/J0CCg574jgQxz1h9JA7YmJKRD+w6/ZURjHs1yg0wzaijaNanGNMxWiMtFBWNT4mbGXpdluW7SJLMsyLj0paTH1geXaOqR2XT54yPL+kqh2mkiRYZ3C4yLPEEOn3Pfu9aF/fuX8f5WrRTFYKP9tPZG6rXEAM+GGYgk6lFCHzQoIXhpMysueNsXyfyWAzufVtVikrf8w+T2udJaXExTkqSH6kMYp+t5kMF7VW1KcXPPyJv8j73/ltiAMilEJOMMBaI1q/ICZjWh3WU14OFpekYopFVZFmmY8HSSAKGEDmiSiiuGf7EYJHxUAcx0kWKwYvCYrWU9LOFEtE0XTOTurlPc5WYqChBRzWxuJSmhy1pZW3F/KW93nsZRkEraVtUUsxK0SFbZac3nlESuDHjro5BZQwSfL/Pm0OlPv6438c1rYSk73wjvmzB1AabRsevPk2++tL+v2e50+e4n3AGkkgkzro04dQZEcE2CmEBtkjIzEaimlVzk8Pmp35Z9IpoiaCRTlnpRK+23KzvWEcPNpHTp1i9AMQ8CnQ2AwwhICrNL0PdIMYvY5FbxgyCONJOhEUnN67Q51NiQuosdmu2Ww2/Oqv/AoqA6r//L/8p/zMz/0sv/orv0qMojd8c3Mt+1hM1FXFabNAa9nLy/65Wracn55wfrpg2dbCvNTmyMiqHCEmxhBJGJbWsmgaalfhaoteVOKFQhRw2Nosk5P3/Wy87JylbWxmScHcYFUKlgcJDqUMMSfwxlhpD06Kbrdj6RzaHBhP5DHxE1//Ov/6//Pf8Mm73+cLr79O8BXKGFYnJ9x/dJ979+9TVY53v/VNrq7XrK+u2e/3XD1/zth3vP/O9/m9/14KDA/feJ1HX/gSf/1v/zKrB/d4+uQx/X7H6fkdkTd4yV4933/+tESJQwH3FToy8HAo0CU2l08J/Y7rJ59w9fQpTVXRdwNFlbOuazbDlmEY8jiBGBqSVlRVnWMcuY/7fUfb1pi2JSgp5Fgrxqr4Q6weo2js933PzfV11vWXPa8YkKESIeTCX9Iii5gi3sfszZENumcdBMICZoop+95PIJexljETdqpK/C76vpeikTITozcEn5nCpTstMqoRUIz5tZQUgTTF0joxdagoLdJzSsUcV0hOb60VADcEghYmpeSxokm87wZQRcJQM4wBrRR9v5u0UE3ueEUZusFnYpXBh5TlkiLdfo8Piddee4MnT55JMSdLOMUYaeoa6xzL5RLjJJa5c+8eu+0WbQybzYYn7/6Av/LX/jq2rvjy174CSnFx5wIUfPsPvsXH773Hb//af8fQ9wQ/YpTmtTde4823vsBms+bq+orvf/ePWd/c0DQL3vnOH/GHv/f7YjSoDc1SCg1N23D2F36K7/3hH/L2T36V+vScrR9JWZpLac0YRFIjInXfsubPc9k5GW2S5UiHcX48BY5JHa/CIftpKkqXR0Xaw/XkvckPhGEg+OFAItB6VqRO2X8KAVk9uZjis2TibG2fE+RiQhkBJAs/JeUYzGh9kC+NIXcaHPYJWWu0+JAlsiSmzCOdjSTLdc7B+3n+VHwehOSQJkBVvDHkGoVMoUUuTB0KBWSAdU5KSBSJJCFGusrlOemne2azMV7f9xh1zEBntm+kmNAGdCUSoEpOPsfVZRzGCVgFDjHLjJk8x2oKNiZs3LkUSpqe9VHcLyeTOxhnPyr/l6Z/TYxlwbIn1Hh6c+RAeuPWPilhfsnRLSiDNhVVvTiMm5y3xeBZeE/o9+yun9Nvr7m5fsaZsbjlRT5fD2GQ69CH6/nzmp8/Mjj8uSrBSokGSzajCSFiqwpUMZMRkW57WtOeXPDwSz9BGHu2N9c8/vAD3n/nHbr1hqp2uMrSLhf0w0jdVFTOsdluhUkxjng/stvtaNsWrbW4elpLXdf0aiBYiw8i5l5ZCaJjiFhrcM5Ig58qDEYNuJnJm7j/plj0POU6iwA/ZH2QrP+ks9B30UYtE0gGrJ7cKI2GRMT7RLs8ZRiuj+7fIQDJoG2uwFjFRPOXAaogCtsvhShmMvF4wS+siBgjupLzNMYweo82RTNQktO6cvhuL0GpMpBmTObE5MRJks1/v9vh/SiJpAY4ANzlkGft5HUlOjUxB8wxO1xHL1rTWikSYlQyGqlqW6Nl8w7iRp9GWdBKYpuitP/trp5zenbKuNty1Xdsr29YLBt262su7t5heXbGozdHYTIZgzOaGH125XYvjOXPmmBzYPVVEuefA8PzP19834usjxfAOGVoTy+494a0ZBnr8EOPspp60TL2IyFG1jfXVK5iyB0AZTMK3tMPA95LZuqcZbtdY5TmZn3DzXpDu9hy5845iQgq4qzOOnvHoPa8AHNcNVTTRu2UwmjR810uW8KdM7wXAJSESFs4O7mMK31InlFFsuB47Zufg1IKZTR1W4sGdmVp2lZY00lMP7p9T90uiTpxfXWFqSwfvPMnfPmnfpr7r7/O8w8+ZLlYSJUxSaGidFLc3KxZXi7yOmVo6pZhEGMgYTAdCkMg+5C028lcM9aStGxedduw2/WZhaKxtmIYRas9JYRlmDfKYrBjraVZtDRtS+UcVS3tjOMgjOLl8k2urq949uQZfd/x+KMP8V3Her/l4eUD7j18yP3X38ItVqAOLMqXFV5uj9FDoelFQP42A/P28ylFnzTb4F891tJh7n7ec08p4seO0O8Zuw2x3zEOAylESShjZNhviEoR89gnxmwkE+jWV9R1BQVIzXO8aReMo+f66pLT83OUkuBrcnhWYmbhg6eqKx48fMh+s+Xm6hK/3RzmFAd2mugVRppFy3KxkBasrEX8Mo3x0vo6jiPJS5AdvGfMhliuqlAJ+tijrZlMdgp7yVorgGlmyEnXj5oCv/k4LJrcUOJESfJTimyvnxO6NbpdTftxvVixPD1n9+wDIeGWSEEn/JCmGCJzlSeQ5AgQLuO7nMcPeeRpYjykDPzFXJjPZoDjSIwesiZeSlm3VqlJH04rhdZOkh8FJENQBlUJQG+y2Zx0cOi85mdzWpRAuSmhhoFancj3By/s4FGezZhZ4iFGRtWgV3dYnd/B1TWb6+eTrjsZMEmTcN3x8TI244/tkQEgVTLTeQ1sln3Mx5ySij4KTXtywcn5XbY3a9Y3N/hO1mYx3+SI7ReB77//PhcnK+7fvz+Ns/n6KWyow8+mIvfs/CSBU5C0FB4o7OQg5s7GEJ1BDUKusEYRo8Pngq33HoYRsudEHQ9mXGEMdKNnP47EE8uTZ0+5vHrO2A0SpyYx1Bq9rB/UFa2r+Ft/9+9ydXXFl3/yJ/nd3/xt9rsNRomuaPRimJm0wRhL5SpOT5bcuTihbWqauqKtXTaItbnD4Jb7upZkNPhAv99x//zQNWSsgO1ohVVSANM5DhEpG4WzhrquqCpHVdvDXiV4FCLVEIlRT6zQlBJaGZIWKawQYzY9UlRty/379yWpTwUCgKaq+aW/8Tf4xV/8Bca+B6VYnZ4SU+TZ4w+5vr5kt97Q7zv2ux377U6YSOOISgmnNUbDOHR8+M47PH7vQ7brDf/j/9l/yr37D/jgB3/Czc01r33hizhboVKOA18SE7+wF6lZUfrT9qk8zIx+RQo7ee+LKU2eLOSiou96nn3yMdur5wz7PUM/iCaxMbhKjHzfeOMNbq6v2e12pCSszroWLwyyXAJIAX4cA1dXN9y5e8GY18y6rkVqzArZAMhFFCWa1M4iW5S0ivtsZpZiwic/gbTF8G7eHVPir3EU0KgwmZWS4u04elLm8BWmsA8JZx3dfhDANXn6fpj26hASlZNnO2ZZtNGH/LsR4yxvvPVFQoz8/je+wWKxZPSes/NzNpsNzjpSEOkNpYz4mtSKogU7DPsJrxEN4JEYs4SbUtMeY62jrKtVVTEOHmMlJvfjQepjt91htWZzs5Z7pTXf//AT+r4XH47RExI0dYVzDts29ARaWzMQ+fDxJ/zlX/wF7j96xG//xm/y1mtvEirHX/0bf008FEiomPi93/ptfvvXfx01dLS5wF0vVvzU17/G06dP+d3f+M1JP75dtJy2y8koT0dET1hrVJF46kcqY9FjYFhvYfS0VU2fJR1VBssTB0D4IPNxKBzCYR7PY63CCi9HAa+mjqhX4Phc56nE30opTRhH4rgnjj0pjCTkOfkUDyS7vBYqK/rFkARMTpGQEpk+JPtCuVdl3XjJl6fJKDwTfYIXEsfs/dIZIoWfGAOETJKYCr3H5K65TFoBY1OZyZM28YE8aIx0NvkgcjZKKaqqyrlxkQ3jAJ7mmMZWtZgPB5lvfgwcMFFFyMbyMYxHYY+AufNxJ2apk7dNBsuJCsoYVIdcsICoWots0zGJM6+SM6PO46Ncw1xai8KsyPepEIpy7D0DeksOIGCs4HgUDFHl8RTV9Lyg4KaQZhUKjRJGNhDR2dsnjx0QtnAI2KrFVhVra1hfPaNbX9NcjKBgv91i00iIXrr9Z9f65zFHf2RZiR8GnAGCqqdMG/c9w3bDdhwpLJmkNLZeUC9XNItW2CfNgvO65fzuA958+yv8wTe+wUff/2NqZ1Eh4GzW9HJCf08xss3M4d1uRwiBxWKRN1lhu0zgkBedsBACzmtGrQW8CQ5r9WyRPL5GpcRFFS1awsX84RBYSvVGaT05yJaqgeASSti+yqDJbOViSofGOcVutxGdlny+t9tOtdZEP2YpBmHnkBPGYh4DJTcsi/shQCuYiDY6ayeH3DqQN5kc9IhpnKfkfjHEKZE9JGMqV3djNhgRU4F568nt6yhtQAK2iaZZ2aCCAkKibmsUSozugLppsLW0WTlj6Pc7hqHLWlwarURzr5gPlEp9DJGz0xN0DhLGYeDJ4yds1lvO7m5ZnZ0x9nuGyqGrzMyIhXFdFovEfHh/Fvj0Kh2lAlcWMngRZIPj1rfjoOFwDwQIkcR9decui+WKy8ePWV9dUrU91khQt9muaU9XaKUY+n5qQR2HcdJBGsYR6yw311dUzQVpGDk5XXJ1dcV2u+WjTz6eNPnqepvNIPSRqVQJXMrfyzlP7VMZnAUZ26KxFgjB5oKNnvagEjzHlHLCeNwieRvInDM6jNE0bcNyuWCz2HJyckLfhWy81+NsxXa9JcVEoyJ+v+fjd97h4t5D7jx4SH2yInQ7uq6nrmsWiyVtu6Pr9sIefvYMV7nMFrPUPlDXLXUdwR0zoaYELc9FVznatsV70Usb+mfs99JWV1qNSX1OXKXVqdwLY0xmCdeUNajoIftctKnrmvPzc6qq4vr6OkthrEmfKFTXM643hGHkjZ/8Oso1R0zvchRm24FZ9eJ6eBjLxxvhfCzLzwpDoph6cRQLzMfKq3B8anw5vX6rSp0iBE/ot4T9mv3NJevra1KM1FVN07SYqsp7l4bgKOyAyjmU7Rh2HSkDQzE/i2gcJ6dnbNY37DZr2tXZ9P0xhVyUkDGk0IxppF60PGxr9rsdfdfRdR0hemHxGcOiWVLVzZR4VE17pM8/b3cswOYwSEIakuf6+pq+76firNaa5XLF4mQ5AcbFkLG07RltGEMQ/+Kyb6UX5Wpud/4oyHrMCjVs+fidb/PW13+WpKr8mmYICV1VIr8QxV1dJUk0iutyQkDcUjCWtXkG4s3W4JQDdD1bg/5/3P3Xk23Zdd4L/qZZZrs05+Qx5Q2AgjeEIUECFAlBdCIpXolX0pXU6pCu+qHfuv+Aju6/oNUdoavu6BdJIdd9g6Ic5ShSJOUoehAgCFShvDv+pN1muTlnP4w511o7T1YRoHSlOloRVXkyc+fey0wzxje+8X1jZmgIA79W4lPRb+zaBqJ8hBieDAwOJQiNsH8z0TUzZpDQQSl8BPREG9UIOKyMaNNpvaUjHBAwu5hEIDSyH4LrCK4li22/OEdQhny+z3Rnj7ZpWJ+eilN9ltMXdBiRMi6Y72lOvNePlBgMP4CtGENdAKaFNM4CvhWzksT4STEV0Hs2DG+tONjbZzIp+s9OhzGaLDex0De0W473M1l3k/Gcj14xw34KqeAo+2Sao1qLJIPqW5WFEVXmVhhSYTj3uvM0RyfUZ2fk8x0uX7nCZlNTliU7uzs458jLgrbruHnjBq6V+f3pz32axx5/gqeffgZX1fwvf/WvcvXggLPTlr3L+0IUaTsUnizTzKYli/lMxlX0C0hg2EUt1VL8Mlij2ZlNWcynfSE6JYha68g6jqbJPUAsGsMJGB53NCVwJq1jzg1tqCEEgg49C9ImyQltyKcTIPlCQIfrjYo+9MnvYrVccu/OLW6/8QavfetbdE3FainSfPVajLVFAk/YokWRjQpzYrBVNzVNXfH8V36Hrm35/h/6YR596hmapubo/n0uX76MNUUPIvTD84K5OH7Nu8bJ6uHad9/pMMawmC84uWul4yLmSnt7exRVw3rT4DrHvXv32KzXFEUhsVbUzF02NXls5XbOxU4uuTebdYULgaqSLrdiMiHUAhR7L4SaALjO470AxCEEmrqlbevekNH1Ug/04JaLxKgQpBDinIDComOqyLJciDjBSet2/Pm9u/fIi4Jyolgu11ijqao6yhhEAoKxeO84qyqMArTitG5QWsZdUZasNxWvvfY6KM3u3iXOlkvazrEwGVceeYxXXnyRLBrUTaczjDGsVhVt0zGdTnGd7CPVphbw2Puh6JtleB+wMT5u2zYajUHbOerOcbpaUxYTMXyMOeK4jb91gaANdVOzqjbszBfMp1OKPJMcZDbFBdFFb7qWZ9/3fp776Mf42le+woc/8Qme/eCHeem118isSBGsTk75xld+l9//rd+G1lFtztjf36fcL7EKvvbVr+G9oywKkQwyht35gqZtKcsJZ+uVMNKbhsl8wXQxp6krXNuhybh06QrOKZxDumBHOYnIcg3SlelIa/04hxp3FV6U76Q17WHKgccx21bsn0A7Eu4XO6e8p6lr2moFvo3F0RhfReA2KC2F8lxyR6UU3rWo1H7DQCpyQVr/USkmPu+TkwqyUryR/4bzS3mQxHmpECwYSTItUyr5Yw3PaYzDbK20I08XjRTfXd8ZDUrbPi7tfapCiGRGyQl9l26eMJ2NVuCFNU1IyskKj0MZRWYtIYghtYsdZASRuhBsSsZTW1cYK1KGIvmqUSqLxfSY/OjxfZSYE4KQJGEAc7dHwQDSJqwsIM8ruAH4VWnsx0J5P1AiEzmCwSQdZB+JgQGimnU8JxWvLYHc/c3vv4Z0TfGnWg2xiFFy/SFoIrUUw4z5jqepK1anKy5nmeQZdQ26wwa/RV47TzT5wx7fsSHd+SR8/PNtRkdMELqGarVidbbEtS3aiKuw856qaTFFzv6VaxxcfZS8LFHGMF3s8JkvfB8nH/oQX/3NX2dzfMgsz8nzjiLLyK1lPpty9959jo6O2ESt4hDEuMxaG9tepCUlyzNhBxlNjTCE887SmZYss7GSO9DPE/shRAAsOXm3ndu64antRtgZidYfgWEiC0JJ9VCbpG0bB3gEi42WltEkAT4O1olBOFErJWm4KNRWNTC1MPQSCESYMwblCQBOQfpY92xYqLxUwpSArM6LhmrfXhCfaW9wAH2VSRuFZUjmsyyTTbnr4qTywr6I4yMFJ9I6ZbDakBkR9tYxYUVr2lYc0fMiI8/FpEsCEPCdw8T2d5NZXDRsCJ5oYljjXWC1WnP/3iF103L5ymUODi5hsoJ8OifLMzofUDpAkqlXqncAHj+PdKR79XAeD7KBx9d3HiiW38W25fMMp/RaNDqfsHf9URb7lzm8e5dqtUSjWewXUvjwnvVqiauTKUUr7KK45lebFQfFZQEOOgnUyrLg7p07HB4d07UdZ6dryiKnLCuyzKJK1TOAtgs6DwZBMl/SHElMfoO2aW+I9UAl7xlGi/X4PR8sEoS4uIdIAjSURcF8NuVsUtDtzKmalqPDY1rXUTUNNi/64shyeUYxKXnpm7/Pp7/3Czz65JO8tjqlWFnyLGNTV8znM3wQ1uPybM3x5DiyeTOyIqdtK9rOYp0FI0EEI4CfmAxbkwlbxwdWq2VM7GuAqNOcNO6Svtb25qK1lnmaZUh7lLQUlhEwVkqCp8VC5tXpySk3b95ks1pRGsNsOuX+zZtkRc7B44+jygVEg55+Kx5NtXGw+m7Ht7f5pTGcNnHk6zmd4/f2oRhrJp8/HgSYvARtXcv65Ig7N96knEwi60eYvMZadvf2yKczcU0KYjzVBo9B3MaT0YXWGq9DNKX05EXBZrPBn50xnc1kL5ATifGu77tYvBdTm7wsyMuCediJEkzDfNJRqzvLMtE56zXBhtckHUUBO4X139Y11WYj0icRrHJdx3q9AqMopxPapsFog7ayDjjnUMaSzxb9eqSirm4fsIZUKIya5DbDFjnNeh1N8hwmeFb3b7M+OWayfw0QNtOla49w88Vb5Gm9DZH5F3zkb0gC230b+8jQ2UMEkWKBnfHzlgBW1iuPxtM20raamIcpDkitj2LQajFZBtqgrMXqPMptaTCGYCQI1UbMgbTJEOdkAYiVTuDZEJxL66LvEx7vu95gIwRP6DzaWIrZnOXpKb5tREYnn5CV03htA/B70fzuWTIPTaI62nPH/1YP1KtG1ytdVKuTI5pqTV3VtN3Q8mmtRcdkJhmYamXY390lqO3YykZJIJsJSKx1GpcQ1GCgunUeiDH0WFpKWGyx5ZOUiBppg01gQ4yvWxwoTRcGYEIrxTTzFHnO5f09Om35Y3/yT1FO50BgtVxycnLC7Vu3qTcVV/b3uXv7NjZ4/sZf++v4WEh2TcvlxRztOvZnMzQd02lGWS6YFBmL+YyyyFEKufbUlRY8WksRLOUG6bqUUuR5xvWrB3R1y7TM+2JlekpaG1D0ALHEv5o8y5hMMsoyRxu1tXfpUQyd2KHi4eFjLI3EMcQCGKC15f5bN/jHf+/v8Ohjj5FlOW274f6dO7RVHfOTluAdrm1p6kZkstpG5pnzBBxWK0yWxYLAIKUhxeWGLDO0WUezaXn5a19ldXrEj/+5v8CVx55kd2+f46NDLl26Kmzr8Wh+h6QzRYn9v/t19NxMuCiHf8gObTMefeIpTo8OWZ4cs1ai3d80wiL0wYkEgbZYY2KXa0fbtUwmc4wSeYb1ekOWWTFsC0Iw2Gw2scNWxmVq9U+EGG2TRIJs800jHbR1IHq1dHhPLwfWdR1d20JcK9arDW3sDlNxvdVRmqYoXMwPQZuAa1sOj4559oMfYnm25I033mQxnaK8iwVaiRFE+19Aa6Po41eTZWgTMNZycu9+7HowdJ1jtVqRFaXo4N495PpHHyUoQ1GUWC0yB1XVxI4/FfNBAU8WOwWrTUWe54QATdPhg0hXNnVHVbW0XYvSitYJQWMTC9MKee+maelcx2QykZhAa5S2TOcz/sgf+zJPPv44q+UZd27e5N7t2wKGZYa6acEHyqzk9tu3+Kcv/QP29vY5vn/Ma996heuPPsqLX/sazne89MIL3Hj9dXTXUdgMm1swirqpOKlrivkU553cg+iXsKo2GGO4e3RI5zpa75jN5nz2C9/H3pWrrE5PKLKcnUuXKeY7dAEqH9A+SLEx5hdboLAS/ecxKWPMNt0qNJ8Dls6ThR4WgHiL1JZ+OAJeBSuJeEkk+UlRu8W1NcENK5oU2x0mk2dE8LiUJ8ZCvI8mu4zuk/dRvzts37dEXAnOkeJMF/8tGI2L/i/DOci+MvaLku4wCKgIHnsfX5ewzFF3ZsKIknax5MFiUFlayQ+7KP2SdH6lOV3AXIICE2NMbUW2JHp6+EC/18kNc7KmdK2sJ0qkPMd4k5A8o3wHELqGgIFMJJlUNJZVCoLWPfgcoWpEypSYyklu13d4DHc6QrYKQnwPBSoEdCQ6EQbZlcQcVioB8CBeGmEYPqPnq7SNXkO2B32d86jYNRAfNon4cR6DAXpzwASIpB2zB/lDhi2m5OWczWrTn+NiZ5d6cxbvxjDmtzDE/4zjOwaH04e+W/KuoA8sN5sNq7Mz7t+5y2q1QSktRkZKFujQOd46eZm3X32dxd4el69e49LlA2yes3vpgM/8kR/gxa//Hrdff41ynlMUpVQzjWav3aFtaqn2tC0b53BdR1mWlJNJ1BNtRSupEEmKxEJsbUdrLblztM5RxlZwpUSzJ15pP5ilhSY6fkb2bDGdsFmt+oAnqKgvGBI42xFtz+nBJ6Xi5Bu0q0SfebTwhuhspxE2VqzcJMkKoBdZDymBDSlt1KLFMnpW3otTptW6XzBS9WnYLEYLGUMSs8VMicFwajW2NsPajkAnn2wMRtuYfARMJouZsTkq+AiER1ZQCIQUsMZzyqPOmuhTe6aTotfyybMsVrQVSR96DOa7iTAcvAsUbc6mMpyenPUaWsE5VqenrFZrrjw1I5/MZcH27TDho7ZjqpihLt4I/3MrMv8tjvPnex4Ivuj1AzgMaS4MmyrIghdwweGVQmWG3b1d5pOydwVWWrE8OcZqi7ayyVprqOqKLMtYrzci6WA1BINGU1cVk7JkZ2eHqqo5Pj4hz7Ko35tMDB06yphsMXXCeJ6lRdL3C/6YNZSKOf11adAXFL7O379xEDXkjvI3xljRS57P8UHTOEddN2w2NcvVOm60imJSoLVifbrClMe89dqrPPbkk7z+2ktMZjOq1YZyNqFtOjZVQ5bnVJslJ8enzGdzptMpTV3TtHnfOmjTxjMO4pS0Bhsd5XyMFX1Ea9lsKiCuaUrY/Th63TiV1uh47WXUGd5s1hAryXmR03UtWkNeZFGjzTCfz9jb2+Po3n3eePNNHIFrWnP3xtuE4Dl4/GmyyQyfFk6GNfKicZqOXlfqgUDr4uel+sX5AnA/PDxFHrelXXnxMdyHoSvEuWQmOOfgkccIRnTFuk3F2ckhR/duU85mLBZ72DxHadHFDWQoHSKgELFmwCtFF0QjrARWp0sMkM9moMTpGRLLFbwW9Vt0JntU3I8Mg/adjsBJr4cXPLg0RwM2s0OA68UQzcdC7WazEndoPXSgBSOvrTYiNxVCwHddZL5KIde1rRSrU5stkGgeSilC1/ZzQMBtB13UzUe0QVEG5Rwn924y2b0SNfUD08UlTDGFqhLtRx3wkYGtjZimhiCtgsNzG4pvyUm+X9dCZBjobUbt8ODpgXmjEOaYa6Ph29ABBEqAQ2vJy8kgE2EtyuaYLJf2NKXQJkNluQDuSkAy8QHwdE3Tg9FyzhKcJ1aNTs7aNsfoEhOIenJeEi6t8d6RWwP5PALOosHmR+E/vHMiKuyX935xp39Wavw1FlBG69E4getf6BXN6pRmvaRar+K8GZivJpqGjtuFtTZx3irywpAb24MC2myvfYmA0O9lcRyGVODBb7HmQcBlHwYzKkm+fJQEGWKnLEu+AAqdxo4MFIzW5FrRrjf8s//v30V5MaVq2oa26+gcvUGLVpqdyQTVthRKoZ0nM4bp3l4EXAU4yvOMsizIok65MQZjdc/yFcNjkbMJQUUDrqFLwBhDkVn2d6Zs1lVP2khsIhXXM7TqY1SjNHku7eZ5YXsCxBaIEu9BYgAbq6Obe7w30YsFB9YqnAs412K15u5rr3L09ltR3zh21gXpYkzGzSECfxLnRpNJrbHaYnQyycviOqewmTwnowu6riOzGUZr/HLFrbfe4j/+ws/z5Z/6aRaXLrM6O+PGm6/w6JPvI2iLGcXDF8bFjPbrd4iPe6jjIQGY0rENNwAR2J9MZ8wXczZnJ5RZTtWIeboxhq6Vjta6ruLeJuapEjtZvHIERFZptVphjGFnZ4HzAedFri3LMulK1QIaK6Vo12tWmzV7O7vCdmwaOtdQ5Ll4d0T5KBv9MgghmsB2rNdr2rZlNp+zWa+EbRsCJkBeFByfnGCNIcszguqoK+km++pvf4VN3TCdzjk5PcNEgKJtKykWIp0ETdNQZBnegDU5TeNQpkN7UMpQlOI3opUjzGKnGNLG/sK3vsVqtaZbeyZFjvdL0n7svEisCdDuyPOcLrI5jc1o2pa6bXq6QescTduhjKZuGzZVzXxnwVNPP8NsMuMb3/gGTz71DFeuXuHpZ57hV/7tr9DFjqLHH3+So6MjXn7xRe7evsX1q1c4uHyJ5fKMrmkoM9FHNVoxKUueffZ93L1zF1C0Vc2NV1/nlRe/xW9/5bf42Mc/Anh0btm7dIkbt25wWq3puo7pfIaXIInd+b6YV3eOTV3TeodHcfXRR/nQRz/C1auPYPMCspw3377B13/3V/nwRz7M/v4ldi4fYKwhuE5IVsja1ENdStYrH5y02yOdTzpIfpAwinFX0fm96XxO9dAd6bzH69c4V4Ro5h2iL4eLRe0ow9V2BI+AmV5AWWMEPvOuo6nXKCda2cqYWFBPuWnCUbbjFa0ElE76wxDzG62FfBPoAcf+b/Qgq+h6YDk+K1KnJQJgG4n5vHexkCkfmnS40+0Q/44Om4tsYyoaidSBAqOwxtLUG8HegnT/67ygW55J7I2O6KqWjuxIDhjAW8nzdJzLSikhD8bzEh1hDU4JUG/1EIdEhnXwLi7EAgQLgAtei9G5SXKwSXoyPvdUGI6AjnQIIszpkMZ0/C+BwS6MNJJ91+NhYQS6g0LpEE35BBA2yoI2UbP6HIEhgQUpJ03jMvTRv5xfJH9ICOhRVqG9dO9ag/jDBI+dzFF5IUTOdH6jfPm/Ojj8bdGVlVxc13Y0dc2tmzd589U3ODo5Yb3eoLVmb2+PSweX2dlZyGC0hrZec3j3NspkPPH0M1x//Akm0zmf+Nz3cPzUs7z24jc5uXuPyXwhiap3NG1D5z3LsyVVVVHVtWgYOkeW5X1Q5Jyjy2QwGm3ojMbl4Dy92/nciNyEjg/He5lEafGwxtAFEXmvu4qmqvpqvI4AcGKdKmJ7AQmgdUSOsTAQgooUeeLgHT3U/j4Oi7Ns8IZRHomE79EZMoS+zWH8jC6qCPat86PNIAX24+/HOpLp70CqOEqJRnFAquXStp/aZmNSHaRVtCwnNPUGq+X3acFMRlji9GwjSGhJLRpKm97wSMeEUl5vt9qFxeW2jYFSG5+9mGYtlyvy3DCZTTh45FEef/Y59i5doXOerl7Hc8rjsJWFIzC+7/S/S+N//P3DdLxbov1O1eJ0A86DcbKMqjiuPcq1bJbHHN+5x2a1pm7qmHgKmOM6R3CB4B3aKHznYgXeU2R51MNUdM5RTqc0TUexKcjyjLppIttF0csExPM6DxaOGfTpSK3b4+vrNcFHr0ssimQCFcKQKI81jFNrqOpF4FX6IDSKyWzKzs4OTeuYz+e0lztu37rHZlOx2QRJaIsc5yZoNmSnS2688ipXr1/nqfc9x2vrr1HVNdqKTMWkqui6hrrSNE3H2dmK+WJO0+bC1ojXJGwSHU0URnIMSgBpk2lsYaEGE0QnsXOi30SQ56gVoA2TScl6s6Hrup5htdlshsKgGirYxhjRnrSWthEDybIsuHr1Cl3dcHR0xN27d8mLAq0197mFthkHjz2BKUrEDfjB8XjRmB0XJceJ6gPM2X6cjFGZUbFApaf9cBzfznoz3LdYxNNJCkCLll9IgRbYImPn0mUmsxnLo2MO794mLwum8zkmKyVQDp6ma2JBcpg3IYJ9JjLS1qsVtiz7/aqPDdR24SaBw2OJiLSvBIZC5PZ6FIO6eHjvt3SA2xhgFmUp7Kjx/egLNma0rw3nl8y8xrFMFjteUqFQmLvSXui72PnkB9az1YqjW2+zd/UJJos9KWyaDEwGYYM2emucAlGCSoNWbK+zqr/G8b7b/3a8J41BKARQVwSaqsI1lTBSYqsiSsCogADDxuZok+HRaGuxxRRlS0w+weZl/F3AtRVtXQmjw0eDyhAgghf9U0nnYSxhxDZXgoSjTCYdQdqgje33/1BOUcpgIkO5h0VHscs7Feq8P++r/d48+sQDtYUwjQHZB30LZHcN3vXkh2q9IXQOFYE+pRQ+rsFJI19HMCkzYvhn823jtfQ5qWA+7JnbhaUhHtR9F90AEsfEr59DCmOyvmgLyLiLgKo10q2SPrsLAyB75fEnOTk+xG82LEKB80LoaEOIBllRAC2ECGgM60Uy1tKRGWytxI4G3e8z3rf9/U1s6YtYNek+GGOYTicCAkTCxRY5Quu+W8laQ5EL4STJSoxbr8drYPreWIONMVDoC6KQQAOJSVyU59E9ANxqRZZZNlF7UoyLIuOqB/VDT77QWmPUsL7FrYDJpCTLdM+IbpqWum7w3jGdTzlZrnnx67/PBz76ST762Uvs7Ozx8jd/j92dXRb71zgPb1wIEI/3YvXOIPFDEz2Lm1vMC1JXZox98ox7x3dpug3WQugCeZZT5CXHpycxlhKiTAhCbKmqirOlocgybGTdl6WYjCljWW0qvA8UZd4z4JRSwpq3Fp8IUHnG8uykzx29c6y6jjaxRl2gKDLqzSYa4kFVV5HJb9jNLtOFFdWmGgztsoqmlW7adSXnkecFRmfkVpHZCd4H6lqk46bTCS400jngHHXbxTVNUdWi8btar0FrbJ6z2qxpO0emTd+ZW9UVxlru3r5DF2UVMqU407I/+phD1E3T55p4iW3zshSWNoGmFSOvs9USm2eYLMMj2t2PPPY4//Of+Z/46Mc/1hdKTo6O2N3bE0KTMXzpJ/+E3MfWcXjnLr/+n36Vpm05OT6mcx2bzYqurSmLKZu6IZsomq6ibcDdvc3Va4/wyKNPsFye8eILz7O3N+f/8Ff+Z37/977GMhpy3jk8Yrazy6c+8xk2dQVKUdU1H3jug9x+8y1+/T/8R67v77OpKkye86nPfY7nPvIxnIfMFmQm4/joiPXpir2dXVYnp+RZxsEj18hyIxivE+k+30qnllLCIMYLM1YrMffLVIZ34KNsZprY75TnnscOHsZjlKn136fYxQNBZbSdj8ULTV5Y2qaRnC9IZ45SWkD2VsY8IeBCJzkFjMBhiXESa1hHco5P62FInVwhKsB5AaMiGK2VxoUIdsZiZs+jAcZF28TcF8xF5B1CUFHcN+23vv9cHfG5MdGra2uMBpNJx01AiAbeO0CkbIQeLPuZEAstIUo9QMy7jYkSrJJvqdg5r3Ri5AoK1tTStdozm0kEGE9wHVYJAJ0OlXIahDuSuiiV0tgsxzcNImV37nmrRPRT/TkJIDzEZkOMJnG0j/HOECPF9xVatuwDOu3vHq+NgPxO47R04xmTCbgb/3rbmJa+MJGA4lSEBvrOrFQ4C0GJkbOxaG1o1yvaekk+2ZOYJLKv/0sffyjm8DsdKXh0McAM3tNsKtbLFcvTU4Jz5MawWq+4tVlx5+5tpuWEnd1dJtMJ88WCPC/IioI3X/4Wd27d4NEnnuLqo49xcP0RLl+9wvrslK/99m+zqTbMFzM2VcV+CBRlyfJsyXqzpq5rmtMGay15XjCZJP2uJgaaosHpnBPjrMKKGYS10bQitl9pI+ZzcXAl4wm8o8hF3ygFQCGEKDIt96JfJBg0YQaAVY2Sm6FilxZebTLaSMdXSvVsRqHth617TZAFPhnmpfcay2SMJSjGzyoBxLAd6I3/PU6gw+g8rIWiVGirKQorlbUwVLaEhawAMcAoZlNZPI3u3zOx0mxvGpQ0nOnZ1JKgyPk4ZOHzXvSyVASwm6ahNEVkZxjqWsDEpmmo65rF3i47B1d45qOfZP/643StY3N2LGzVPCf4TtqlXRfNdhIFbRjbvWTHCGQYnsPDd7wTIDx+zjK044J6PpmK7cuEluXJMbdv3qA6PYJO2suWqxVN20SN4Q7heUmgDEGCvLh5FGVGUWQoAzpoVquVmNvEDVG0/LKt80vncT54GX8/HvPngeDzzxNiMSTEpAZZJ0IIpB+J5qDqnZaDiix37/uNKAQx31zs7dJ0jrbzFEXBfD7twdW6bjg+OmWxkEKHPTulnE544+VX+MBHPsqNV15l2jVs2pZWt0ymE9abVWTxQlXVNLUkdnXd0DTCHLJ5FgMLOeFk8JjwtTwa5oRYASnLgvV6g7Wa+XwGiGt2ked9xTxptaZ1om3b2FIrrbkZxORGzMzyXFoBCXK/rl+/TuccJycnsR1dzM/O7gtYvHPlOiabbI2/fozFY3tMbif4F40B+fv0d5A0qpRKhYNYfHpoMtQHg/b0s3cC0VObldIGmxccHR8x35fWRe+k+8VOJgRtuFRMqNcrzk6OUSwppoECwErQJAWE9BnCzdFaiwmq1jRtJY7IoxY2Ewsn/bw4J6EwflZj6YTz1zbee84Dai66kydN8/O6eJPpRJhX8XXj9WBcRBrfu96whRA7VEBb2wOtQQ/X771Id1gCp/dvM9nZjVrlhksHVzk6PQY1Mv+KSXhiXG6Dn9vjWMeE2rVtfw+He6X7IFievzBdnGtp2wacJ3Qd3oseuHgltIDG5hOUtpJwTqfkO3tk5RxtS7QWx+56cyqGfa4RYxbXEXxL6MQYVgUxHB5Y1HEuaUNQqvcWUNqgbYaKDOXOWGEnKymMY/OYkyaxDbkP7zTGz48Prd77Sarq/3c+NY2/vyAZD15agwleDJ07R1M3ohdflD0TNctimzCBPLPYTOSIshirmthhN37/8TH8LMaRQVi1wx67vc8mkoP30DmR6knzWsyc9dDKrGCQcoht8GEgKlibsT4+YlaWVIlNicGGQO49IYiJZGC8ztOfkxkVVrQWQ1aJz6VDwSdmc4wlxXRnSFj7e92D3AncFWZUXVU472IXG/2cTwaXZVGQZSLBlNlMjI1jfC+sapUecDxHjdVKOjBkCstcjnlpYhGn9cK5juDle++VxKZsm+9KjqHAB4wVdhcRlNfxmkTiTUD6PLfkmREWNaqXm9BKgKNZ5zlbrvnVX/4lnv3wx5jO51x/6lleeOEFPvM9ByTxu6S/+E7Fm9EAe+cfP0yb7wVHALI8J8sLlq5DW8m/6k2NNordvR1Ojs+o6zrmOJFVWxSs1xXzqwvZI7sObYXt3jmH1dJS7byn9WJKlBiKTVWhtZg1dl1D5zoKm2OtparWNG1HUGLOhod2Uwuw1XVyHtaIdr3RvPr6myLRFyQWMEbTxXntfCusPhRnK+l+6TpPXdegDW0nQLU+OekZ8KLlL4blxlom5ZST01Nh4AFN24nHQczxgoeuE/O89fEJNhNyUOtbqk7apD2grJjndt6xrjbR3Dzn8OiQyWTCuq6wec4jjz7CH//hH6acTHjf+9/HU08/LUbURYn3EXCJOaU2mv2DA5lD0QTLWJk7TmkuXbvCj/8PP8W9Wzf5j//+37O3mPPbv/FrlHnBsul46tn38exzz2LynKDgiSeeYjbbRWFYr87Y31vw1DNP8vqLz1NtNuzt7lDkBUobrlw94PDePW7ceJvPfvd3Y7KMn/sHPyPSN0axf+0qjz/3HLeODlm3HZVzKISJuK4rbtx9k2A6Pvax57hy5SpWC/i2vHeXe/fukueW5dmSe3fvsre/x6OPPMrx8TGPPf44djpDGfBoGkQ6Cq1QSHGRHiST4/zcTrHRwyar+K6ELkmFpPMyE7NS7x3aO5q66q9VLJ88mbE4UtEwuh0F2VNMFvWIrWBIAubZvtt8vBr6IIQcAYk7Kfh10TDYJ/m0ZKg+SL+glMiGoCI+KhcgfhkOH1okhgLlbR91hFg8TJIE4zg6gcDr9Yo878jyov9d8F6KMTrKM4TE8g341UqyAQ0hOOH4lCVtVZML8t4Dr0opMKrf87IsG7q6R9gXij7OGBMr8INms0INFLHgCZtKOppSTChBw1Zxss+Fw3D96Xfyb4nlvXfS/RgQMDwC5em+E3MGadIJ0aBZ9VJrPgQCXuIPa1F9J73qnwTxGQxfQTSWgzxrPeB4KiCM6eBpncMFJaSd5TF5MSe4Bj263m+HRPTtHt8xOPzuYJLqgzkdH9RmU7Fer7h+/TpFrJDWdU3dNpycnHJ075jXD9/E5hkHly5zcHBAMSnIJwWhbXjl7JS2aXjsmWexJme6f4lPf+EL/A6ee2+/xaWDS0ynU05OzpjP5yyXS1arFWenpwKctC11LQZPeZ4L8IGjrjvaTqQMkhh9MpXQWg0uwZFmn/RHrBkSEq8keRR9Xi0Osb6TAaojg484JNTAc0nsQ5QkVSoOvnQ4L66vTduy2NmlWa8i2KtRKrX6DUG7UtKOJs9iMBwY/36cuI8TkrH+cGq1S68ZOzrD0E6vlMYYUTrRNgNv8REsVyrpmg3sE+IUELxCRc1UmTTGmhgYR9fnLIvVqoAxsS0qjS0VE3Yv5yTAcEthNHjELVhBUZRAjc2lSmyKCR/97PfwxLPvx/mWo3t3KLVGmwmu9Wjj4/WLnpA2soiOp+47gcD/JSfjf63jnRLF88F+SJsPo3U2Ao0aj29q7t++yd1bN2jris3pKTh5DlXdUDc16/Waal0LYBATTmMkwUk6wHmRMZlOSJ6AdVXTNA0np6c0dcN8NiOLeqQyJgftzPEYvQjsgZSEbSdW56/dn2MpBa/IipyulRZPpQZQmK17dG4TikCQzQyLnTmr9YbptCSEPZzznJ0thcHhPG3b4VXAas3x3fuovOSJZ9/H9Sef4JVvHKNRzGZz2qZlOp3RNaJR17Ytm2rDZCbradM00iLqvTC14sNLewYqJnRI6+B0OqVaVkAgz7OowyoGYUVR4J2naZv4XoEEZKVW4oGpJIabWilZB2JRcDadEHygoqLODI899igvv/IKy9NT7hcF0+mE6WLO6vgEawt2DnKhNhG1ky6YU+dB/3f62fBsx68ZKrHD2NgOhN/rx7uDO+fApRAAjfOBtuvIpxMCnrapKIzCKEXnpEKvEAAln864XE7YrJac3T+kLgomsxm2nIjmvvexJa0lOAFzXSOGYwQHXSsmbH2FXPaqPpm4APzdNtN6sCDQxxfeD3un64A0zw2ZzcWISqc9UNbvyWzGdD6jda0EmVb1xcgQFEUxxblGAm4vSa1gT9uF2LIsBzZWEHMtrQ2YDFfXhNDJz7Wm65JuoSIrFtIaFxODBJD39yZKRCR5jJQ8jMd0W9d9kQelJLHvdVBHax4B71q6ao32TvRIQwK3PUnCQhsb92cwZYmZ71LuXBFAEEe1XtLVa+hagmvBt3jX0dYVuGSIFVsCnbC3JdEP8lxSrGELiVW0JEsqs9iixKOxJsfHQFp7T9Bxz81yUIbzo/ydgOGL1vn37qEuwoXf9fy1lvnrFaI7GSVCUEleTGG0xFlaG/LC9ixWHTWHldaR1ZPuo9pa8vrimWTH4H2UThM9wLar4zjavueBgJnMaNdn2AiG9v4bcf/TOu3HMRGOki2JLAEBqyG0DXmeNO9HBZD+zmkpesZkPDF6dAJBx2xZbUYgMFtfQxQh0aMHka5nHDf0XW2Z6YuuQK8ZPNbvBQG+k3dIOqwdYhI9yhdUCGBFZ7F16bODJKERtDM2AjWti6CdleJWKmgSDebyMmq+qt4IUOtUWJJSfCpCZdZQ5IbMwqSQTpIQRObDamlhds7DdEpTN7z18rf4yq//J773j36ZR594kjdefYWj+3fZu3wASuP9tjzctzMP+3k8Avgf5iMEsOWExc4Oh7ci+67ryLKMVV3RRnnDNLbaVjqwOif6sYvFgtXyTPaVWFBJgAmAq4XIlOc5SRpxSz5NKVwXqF1L2zqauqXznjbKJzV1g8oL2sYJxmELWuepmpqmrcDJPtm0LdZmGGuo6prZbMZ6tUIh7P2mbQUY8Qqb5dRthXdOAODJhEk55f79+6TWda01Xd1wsloznc342Ic/wg/92I/x1d/9Xe7evcfLL7/MrTt3KYsCnRd8/otf4J//s59jlluyzODaTmJ1m+G8E1+LxZyj0xPsZMbRyQmL3YI/91f+Mo889hguOB595FHe/9wH0FpL/hiSQaAWsqMRANTFda0v3HBu/CopkClrcb7j6uOP8VN/+k+jlOJzX/x+VqdntN7zyGOPoAwy71KA7aVA/fbbr/Mrv/CvefSR62zOTrl67QpWGzSKuqo5PjykdR3XDq7w4je/KfeuaZjs7rLuHHdPTvnwZz7H7nqNKUu0zdEoXOcpSsuTT1xnc2mH9dExv/Mb/4n7t++yXq2pqgaVGbIimUvD26++SvfBFZvVmjeef4En3vcsjz3zLLO9fTrtabxHB4NRBu0v7qRL92e8Jj9shKiL1qc+vlTD9wHpiPJdR7NeSewTu7y0MXRdoGmEhFBOJgIcao2JmIc1JpLjoqyEMfigeqJGShUHOcPEuHXizxDnvqQmcb9MXZpWY7Ko/e7p93U5d9/nsB6ieV4q5Ka9TUxihQC5rTtNIEqOBrqm6buyU67nvSfPB4kx71LnXBAmrfcYJSbuvm0wit5vpL//8V4rraEb9tS03gkQKoxpifkDGPqcUystHRwCmPUsbXl/InCdtJ1jXCNneA73iu/d58cxb4pFNNHsd7HjTmIrAgSXwPvYgRcBe5FlEQJJCJBlBTpkOB1Bb5Pi/3EHYazDMAD3Ays6kirifUdJXhK8wzeVrGdZMSBTQRjc58f1f4njD8UcPs/gevDEFMFoyAyT2Ywr167T1g1NXdO1LUFBURRcvnyJxWKHu3fuc+vWLV47fZ3TsyV7l/bY29vDd47pbMrL3/wGk+mcK49cA6XIiwnf8/0/yM233uK1l1/m6N5dsrygrRtmxYRlOWE+n3F0dCKmOV42xaqqyKwlz3JsnqGckjaXTKpB2mZMJqKFJ0GaxYfYwhqiHWhsge66DkVsoQwB71KwKhNYhySM7QlKgjqltFQvlMIWwgoiaMbszBAniHeeyXwHW5Q0m/VWoJvYCemep68hJa48yHAdD5gECKf3Sj8bV5PS13EAPl4whD1s+r/tg3ZtYqU7jHKi9LfRvC4aXAwtkbKAJrZzkgMhBrdpNkkrA7GyIjIbxkkSvGkr0cfqJFC6f/+Ye4fHlIsFH/vc5/jYpz8NwL1bt8iCx0wmstArQAVMniPsR5ug7K2xPQbXH95DlqOLFo/zhZ4xc2g4ouCKF4Ohwzu3Obx5i2a15OTkGNd0AgxvapanZ5ydnUazyFrE/CPrxsSEKRUCZrNZH9ilAsVqteL09JTMZsxmM/I8w2YCEGsjrJekv90vsaOFMQU0CexVDElnXw3WugfA+822Z8Ro6roSWZMQq7QxqByzD/s7k36GVP/yPCP4wN7erkiIKxPvvebo6JjNZgNAvalYZWuMzZhsVty+8RaPPPkEr774IovpguXqjNl8KuBeXdM0Nc51Aix7z3q9xhiYzqYUE5FoGCe9IW7gdE5AhCxnMplCJxu49xVNI2tcnucSVMQW4aIQuZXegKFrJTnOBAhOxlxaSVXZRJYxIeA7h41MYu88j1y7xr0791geHbPc26ecLilmC47v30NrzeLyAT5IYJU29fP3ePz9ecbdg8cwNpRiazyrVIV4SI53usbz433rtUpT5AWhKOiqjMXeHndv3+SxJ56Q6rM2fWDSG3Aaw3S+oMgyNpsN6+WSsFr2Tuu9DnsQOYcmBpLGiI6ody66m8t5mAuKjjCqil8A7o/3GpFJUdEkLa5JEVzwPpDlOeV0yursrC9eZHnOfGdBUZbSlqdVv24Ig1bmTRc1hV3UX9MR7BBGR4gJpCTurmv7uEZ0cz3BZOw+9gT3b9+krWv2r1zHZnlkPjhhdoWABdpGupi0HYxdGcI7AaTlIV70kKVImX6l1PgvI7ujk/NsW1Rw/fom7YZBdICttNpqa8mKKWayoJjtCiDbVWzODiMg7MB1uLbGtyJpIPdHPAaw9M/BxzZDWfokIPfeE5qKrouFJEDbTOItbXFZjrYF2lhslmOLCSELOBQ601tr6zsFuQ/TPtxfQ8oELn5RX5QYio0x1lNDfJQK9kqpqNGtexPHvDD9vpo8M0LfnZYKCdv7e/pZb7YyiiU3mw1qFOt53/Xz0qhA12wosqhP2Cdfg5xRkgOTmNBuPc9UpLXRoAaEWdnFQslggByPmESn+FP3pAu19bN+jo7i3j6mBXH4dgGL56IYNz2vxLgtinyrsy4RGNJ7p2fRX9dWEpoYVvRr4Naa1zQ4pQAB79LvrTU4l/IrmetFkYk+ZT/mAyE48jzbGmepM0bAIU9RSKw1KXOKQrwG8sz2SXkqdned6CXbIFIEk7bhV/7lz/GRT32SvYMrfPijn+Bf/KOf5Ud/6ie5fOVahNlHXSHf5lxMhQVG9/u9fgwFEdiOGWSsLXb3Rb4py2g2IgNSFAXGWs7OVhRFEU3qoGoEaMqKgrffvsFkUmCNFdk0rdlEr40hRpex0kXz1SQn0jQ1NrNSVNOaqopGTkoTFLQOqsaxWp9xdnaGdMrm1E3DphFNYo0U9jrnyHLp9EApNpXIjGil+rndtp3Ew534iPhI4Oh8oGpavFI4pNNWGdMXjJ547HG++pXf5eWXXuLunXtUdcOTTz3JJC8IaE6Oj8mLkoNLB1LUwaNMBgasydibTVjVGz728Y/zn37rN9m/fJk/+xf/It/7xS9ycOVAABaVQCLpRglKoXUEiNHoBN6isHpYV9K6MF5rAgJeeZD3AHRhCS4w3dljvnsJdNQrRVroj+7fRwF7u7scHR/yT/7hP+Df/vIv8alPfILv+57vIQRhXLe1xAD1mRA5Vqdnkie3HfPJlJ3ZnNVyyXyxQ9d5rly9hkda2DNrOT65x9d/6+u8/MLvc3J4RL2pKLKcsizpnOfaI4+wd3CJs9UZi8UO3jmWp6f87le/TpHlWK1pW8e9u/f42Gc+w/zgIBb5MylCKSXt9iNSxfm5/SAB4+E4zucM40MFKbRIzJeJsb0XOdRqtab1yRtC2KHBS5y5pxSLvV28JspfCkhojJXvRySa8cafzsVFOb8QiYJpT0+SaSFJjmojWrZRS1+hZD8cX0rPc1H4yPJvW4eLnbtJx9joQSPf5IPXhmK8D4oGete1uBh3SpdeS9NUfRedzbKI84xicw+ajq7tJGBMsQEpxAl9bKACVGGsfTzCJWIM3pMpQpxvikQf6u9pAp5RSe6KKH9khNE8fu4+iWFGuYf4OQIBeXBSGPCRFqhC6HWnXScyIs61oMQ/KyRsQClMfIZdABs8RM1pjxRggpKuhTAeDz3eNv6pyL4RixUhOHzb0NZr2mqN7ePwUuK3NC4DaRD8twGHvx325PglIQR2d3dRjz/O7Vu3WC2XAg7H3ycX1suX9ymKgjfffIu7d+5I+7UPGCWBXDGd8vXf+U0++T3fx97lS3GwGx55+mmuP/kUZycn3H7rLW699RZvvvoKOjMUq4IyK6nbhqquqZuGerOhbVrOVkv0RpMVOdoY8i6LgZllta7Ic4OxMuh9z8iNLJk+qE56waC0ACpEABSGwFWpwfBN8KXUXuAlIDMmBvHjhdhTFgXOeU4ODynsdsI0TrLPP4eLEu5x5WQMHI1BYqBfmJxzfZvd+VZdHRnRaWIlUXEbneKVom+xUxF0S6YgEhCKTITRpn8/E4G+8yA0sZoFxHsni0Ay96iqGuedOAG3jrpuqdYbzs7OuHPrFtoUfOSzn+f7vvzDGKO5e+MNuvUZxXSGb+u+Yq8i48I5R56XKBTa5rFpRPVJxEVz4WHaKFPeCQN4mv6dvm6PGUiga0Q94iLv2SzPOLl7D1c3dOsG34ru9/HRMavlkmq9Yb1e0zlHnmUEHG3T4rqmB35SYaCqNn1RJLUsOu+YTqcsFnNJWCZFTHYSa0fHzTpd0xi8HwK/fpzHhBsGUDjNOdlAtsFEIsupT4i1FokZRsWV8aafHN/VMPettSwWc7q261/vOnFOPj45ZbNZi4u8MeRlwXq15PaNt3j86ad57MmnufvqqzSuQStNXdeUZUFVFdLa3W9zqboZ4noajYBGuq4AQSvwKrbAaJSJCUNdk1grssa1PYg8TmZT8upSS5NWkTFlIhB4Lsg2hmJSELQ8pyyzaKW5e/ce927fJi8KFvv77B5c5caNt3h2OiGbLiTJGI3ZrWs4B2ycX++296EHmfDbf8uWptV7+Xg3kCwdD4JpCmUs1uagNPlkBof3OT06ZLZ3uQejlJLx0HeQKIUucmZ5Dj5QV2uq9YrNGhIgICwFuY95XrAzX8i8HY0Vndb/ESvvovO9qIiZfpYSt/Eul/Yk56TSX+Q5dn8v7r/07IYuyhplWdYXHUUXX6OUQykfC6nDuSRGRFrvvQ+RgeGHIqqT13ZNxenxIc98+KPUbSCbLgABakO35v7NN5Is2ta4I8YSCQTUo/E7Du627ksMrPs9aLSWDbGAAGtt0w2fBWIKV5TSumwzsrIkm+xSLi5hbE5TndFtzlBtBcHj24auqXBtA3Hd1MaijMxjSF4CxfBQQiwYQmTAdNj4+V3s2mjrGkJFoxQo0cIuJ1O879Dek9t8+z6Nnsv58f9uyd578RgXuy48zsUQSkmXlNaipS3Gv1bAfzXsWSKXYEZsuCFWCpGNSopZk4SBD7jIxE9FGu+G8/OxKyvLsmgco3ugOt13YzRRPE6ID+MxPDoS+KuUpm1DLGxsF7LGz7yXPzNCjtA6SYeEQasx/V0YCrJ9Atpf/QUgrZKE3IWAHYG643mV4s50Linel9/JeSRZOPm74T3GSe7QYae25nQPbGsta1TX4bSmRcA/uT9acgqjh7WTWLyKCfCQQwfGcU8qyGmtyTNLnmcUeUaRG8qyEJ3mPsY2qCD3Leus+If4IPJSKnD/5IR/9Y9+lj/zl/4yB9eu8dnPf4F/969/gR/5qT/BZH5pMMAhbMVB39YRHp65mw4hCTDk9QpcUMx2FuTlhDoyfZO2p1Kp2C4Fy6bbsFjsslpvuHt4zKTI0HWLmWYoJd4PoGnaodVaKU3dCLO368QsvKpbkYPwMpeX1QatrXit+MDpek1V1aw3FVorMm3YrDdkrXR2bDZ1DBtV9IdQtI2cY4r5y3JKWwtxxlhLXpTCCiTm7D5gJmUf+812d6iqqo97DZIX33rzTQ52d8mynLC3i1YW1TjmuXTxXtvbpTo9Y28+7xn5y+WSYjKRziYURTHh3v0j/i//1/8bz37g/cLWjTIbo2gCABNzaw+gkvG0vnB8vtP4kzg9rqHxP20ViWwgeYPMO4lBAplVvPbyS9y/e49f+oVfQOP5+u/9Hr7rePaZZ8mtZVIWLOa7TKZzTk5OqNZrXNsyny0oJwVtUzMppzz26OPMp3N8K6aiwXv+3S/9a775e1/DbTbsTKbsZAtaM2O52XD3dMP3f+kH+f4/+oOUkwlt08RnKYzO48Mjbrz5Fq+//DL3b75F1TS88Pu/z3d99+eZFqWwylPXhkndub6Pvbbycd69aPteO87jH+NzH8dYaJEmw0r3s/NOtIZDYGdvv98DW9eKBwtCSkgyeUpLJxRIcQEl7wFEnWIZSQrAR8mjxPZ1svn2EqI9qJwITKqX9hMQOHa5JYZt+g8lnj5dR7OpaaMGt9Yakxm8h6br8D7Qti25zyLhKkO8mmqJ74Ks51naI+2AAxHJTena2miUqa0RA8xYdJRYRMd8QKRHg/dxz1YCsAZDOd2h2yyFsZtiFJXIPGmfS9cXM/L+GT5Y0AYiuY8YkyLdjn1uk4iYMKgBI6zcto1AvYsgVgTxuyQ1IXITKhr6+ZgDR+UnnGsgaIxt8V0mnXBeY7IMpwHVMZaTI5n+OYeLeINgUZ4QOkhFAN/RbtYsT49pmpbpfAdbTCgms2gEr/u//YPi5u/0+I7A4fPAYxrI25Mu/V5AmfVm3Vfih0BW96w3pQQhn82nXL92jVdfeZWjw0PKsmRSFmRGQEKvO57/6lf4zPd9ns1mzauvvMLlgysUecFsvuCZDz7Ho08/xUc++2mODw9548VXeePVV9gsl8xamdRNXXN6csqm2rDZbFiuVjjnKcsJnXNopSnynOkkx1pNnsnEF0ONBPQmjbWBBZRYRhc9jBDShiOBmA8qyj74WAWKQTFDq3y6f0ppyiyDIEnrOElN4F56DtsBemTpjn4O20Y3wBZzY6zJ+k7/TqBeSjpUSuLHwKlKjAq5N6nlAlJib/v3Sufrve/fIy2QKSlOgXg6lxCiHlfbieZqVdO10m5f1w2bTcX9+0dULvDxz36KL//4T6KN4e3XXoJmw2w2QXlHta6i0Yrca5Pl5JMJfuoplQQa4qB+8ab4X2oC/tc6/nMS7DFQTPA433J8dI9qvaRZr6mqiqPDY44OD1menVFtNnRtg1aG6UR0bud6Gg0TZe4nV2VjTN/G4nyHDprpdMpkMqEoCiaTnPlixnRWMp2WlGWO0RlaaWxW0DVNygdHwILM0VR8AiLrfGA4RRRX5F7ksmJSOFyrMQPjqQeQQywEnRsP3g8sBB88Co0xUJY5O7sLQhADGGlts6AV9+8fslytyPKcSV1RrM5Yn51SVxseffJJ7rzxOuUkZ1nXFIW4sWsNziXGs8I7qTw757aq/uPx2q8pSnSrbJaR5ZmA1tZEB1pZR5KshPeazonBVwLZ86IYrtF72qaVZDNq52WZldYbBSazEBR5nM9rBXuXdjk7O2OzWnF07w7FYpenP/wxpl3L7bff5sln3483mhAGePg8uDu+vvMAwBiceDdAtS92fKdJ7Xv8OF88VNEcoZhM8W3Nzu4u9+7coZztiOxRZPpZo+O4T+PHSLudVeR2QTaZ98UHXCyZxYKlJhm2iT64jkWDft1WqgeFErC8DXI+aCB5fp31wfeFwQQaOydAbVDCWFc6ysIAKCKj0pBHLXuXDGFD0k5N67ecS9JETZ8phjmpS2cYbykQV8HRHTe89vwLPPXxz4q5GxJT3rv5Fuuju8yyLN7n0V4aeQtJm7+/D+eAKogAn9lmCscTHO5vun/xGp1L4LB0ZtiiwKGwNsdkBXm5Qz7fA6PZLI9x1Qrva3CAb6mrNS6ae4QIDOvIPE5Jwnj+KEXUyJNz8PHfKYax8d76KD+iXAq0a1ZnDYV35CiKxd4D5Nrz4+D8zx+GvTcBDPDgnnt+HeuDe4igqyefzrG5rP3Neo3zIUojqD7RCcH1bFOtRWJLppYidINZjLAP5fM6oklhCKDE4T4EL1IWLhZY00VEjfoU73gvDL2uc6QnNmYI93/Wj/sRCDz63Th/GAAxcF3X5wmGgWCRzOz6GFjeSPbiSFpQKmy9/zZAHFAuMcH0KMFOUhqci7EHgGR4dnKOWm8zgVP8etEzPr+2KaUoYtzcNCIB03ZixpWSc+893ghoYdVghqu1TctFnP8JrYxFOSNztMgMRW7JcytfMxvvyRDPKSzOSdySWUunO3SeEZjROXj+t36T//jE03zxy3+MD33ik1TVil//d7/C93z/H2W62B2YbO9Ki3/weNdCyXvs6IsIJLB/tBYpzWxnl939fe4tV6IRv6n6saeVImiNNdJyfHJ6JnuVEmPh3Gg2mw15nrO7u0sIgdPTU5qmIc/FQ6XrnHg4kNqwPVmWs7sz5+7dezgHZ8sly03F0ekZXivWTUORl9B6Tus1ZZZHcg1MJzlamyiDKHu3joW/AGSZSBJMy5LgA1meCRu5bfuiUmojz6KU4GRSMi3yXt/ftS2+65hMJhib4TrHlf19QIg9eZHTuQ5jDW+8/CJ7uzsEpViv12RFyWSxx6NPPEEAPvWZT/P0+55lZ28XZbI40s7vh+P5FWHcrZdsv3783Xlw6cLXKNUblbtYhO3aTlj4KA5v3uK1V17i7//tv83y6Iinnn6Kcjrn2qNP8MxzH+L0+JAiz7h3fAynK9bLFZpAboxISG5kzbl05QrlpKTpWrK85M3XX+fVl1/mpRe+Qbc6I1eGpmo4W5/QBPjQpz7Fd3/xCzz13LO03tFpSzbNh/PGs3PpgNnOLu/70IdpqxUn9+7yld/5bV5+4UU++OGPkGeW2rlemz6N+YuA1fF8+O/qiM/WmIysnOKrJU1Ts9jdZ//q1bhWqj62in8i3eaEaPSXwFApXA5jVADInojl5W9Sh5pB1mLPiKXroqSQNT2xIQTfE6qSb0rau0D22KZpYu4t2JE2Fm3EsC0AhVJithwCTS1kAKMkHpXY3OO8699Ta41rJA6V8wWjY/6YZeSlkCqbrsE1ncSZme2xrs5FklIk4YWYOwuRROOapidVSWwQ5WD6vXTogEt4khAUVM+qlfcdSIXedcOeH7scgNE9k+9TuUepQBe1hpPxrlKSw/soJRF8J7hHJ0xnrzMCgSwC2Cmm8h58LOJr22KyDpvn8TnQx8Zi6iwdiF3X9TmJ1hqMSH+AxEG4lqqqxIR0OmO6f4V8voexmUgN2YJUuBrP2/8Sx3csKyHB5DD4U4B2HpxUEQiqNhva9Zq2aXogVMfAbzKZ4L3j7EwYxeVEHO7fevttlmdnnM1nsgDnOdrA7bff5Pd/27JerTi6f8jr33y+B0nKogSj2bl0mceefJLPff/38rkvfJ5XX3yJ3//q1zi5f0hRlBR5wWq9ErOypuH+4SFVVTGbTmmajqpqIsMohceRJRfGTMsBjBgHiYph8BEDyBSYE5ILphjTaKNTAVeqHGFYGLyXFnCVFpb+fc+5JyvFGCweL+Iy/lJq4rdeM36W48Q8AT9jCYVx+19QwqSeTErqahNbk0YTMwXWQa49Ehq3qo6JlSHnI/fA6O32PJToK4o5WLrm0JseOCemXuv1hqauaeqGTZQyODo84WS54QOf+DQ/+j/+NAHPy9/8Jqqr2VvMCA429YrNZkPbNLSttEdbaylnc3b397DaENBkyVEetcVceRiPhNO80+Lxzj+nX5hlEfM0dUUXjQDXmzVHp6ccH59weO+Q1WpJZjSz+ZQsK9jZ2RHjPxIYY6jresTC9/G5xpZSbbCZaPtNJhPm8yl5IS2eeZ71bsMBRdc0iGmcjwBvTLQji2qceMvYGn5OUH3mrpXB4/r2tHQ/fAgjZp9oP46TzvF8GoOTxkrLn4os3WmAthmkILTWdN5R1zWrZU1V1zRtQ3AeVzfcunWLZ579ADrLsG00lozPI7MZznUCNHeJ8iUgcbr+lCxvFe1i61gXOtncbUZrxBCkbVuaWowMsiyjMY0wXnTWz/80Z01kYSkl5kN1g7QlxsUssyYyC7OokRo1mBtLXdc8/vjjvPHaa5wen5AfHnLn3hFPPv0U3/zNX2N/b5fZwTVCYkOxnayfH6fvBB6923hOfxdv0383x/b+i+zR2oLJMTbHZgWTxT7F6RnHh3e4dPWa6AWrlHBmUYYElDX9eBMWThrX0Yii34MUENsSjUFpKZoE0j02RDSC4AZN37FjsxjFpHAy/Tj0rc8hSDCdpC+S8arJER1cH/B4gh6KpGm82izr96w8K1mtVxCgKCeo4MB30ezhQbaq+AIkk9UBSEr65SbLoevoNmes7t4mf3yGMrE1M7lae8egiyZGbToZ7OEJmjjWDUmOpX+e/dw1PTevT9BGqavSWhiAIRa9IrOBIMxxbS1FUaJshi0mmOkcgmNzfILvGrqmRusgHV1tI9esFEqnQr6RNjaToYwwfqXDyMcxZtAh7e1gggTw48JcxrDOi5t6S9eIxFhXrUB7ms0O5WJK2ie2CQfvPM8fmkNtPzcYruV80b/fboMYCJqsjPOUqCkq7ad5ZuO+GSUdjNnaB1xkuHSdsIh8lOACcGOQi6gfrbYBTs51S6XzS/NbjPHk36KXuv1skg5xSnzOy8nA0JEyLqA80EEW3zZ1pzyQBPX7e+gDlnE8OWbBJRbWGDS+iAwx/vt0/glgTlDo2OxSjV43HsPa6GFfJq1tGqUD2ghhRrca3Xa0qkPrIDGud1hr8V1HFovUA4PrQa12uUaHzaT9uMxzkS2wupeSkOuNMVAcY0YLAFGWBV3X0bWOwhrm04LOdfzyP/6HXLl6hQ9916f56Oe+m1/6x/+I3/21/8h3/8APkucTiHJZ73acf+YPe01WKSXhY4AsL9jZ3ePwxg3yaORr84yqrmgbR9uJKShKiayQUj1RIa2RLhYsxIsj9LJ6dS2gcOoQAPGXWK1WHB8d0tQtm6qm6RzkOYuDy7z65ls884EP8Me+/EPs7ezw//p//D/JygJDYFYWtG1DVVXs7l2mLApCgPVmTVbkIqngPUWek1sxRS/Kkrqu8YWwoK21fSde27ZMp1OJGWMOVTc1elqiVGx/Js5x56mqmnk5Ic8Nne8gmnhlk5Kqadm7cpk/+sM/wlPv/yA7+/tRi95GUNbTqaFfjrQ3ELbGk4rfCit+hAR9u892DOylN9v6DI9rPTfefJt6s2E+KXj5hRd446Vvce/tt/jwc8/xue/5PAfXH+G7v/j9dN7zq//+3xGM5/qTT7Jc1WTFhE9916d548Vv8fqrr6AdFGWB02CnBbrICFrx4ssv8/Wv/g40FaGt8EqxbjuK6Zw//Wf/HB/+xKcweUankn+LI5GZhOntUUZyrqZrKOYLru/ucPnmDV565RUuXT7g+uNPEKyiwWOQQhQ8OGcfdlD4nUDuAHEf82S5JS9nEKVdRPM/4j4+4ELo5SO2dOa9Iyg/5IuREBeIHVXxtknYPJwDPvQdPkmGCSKJzg4EGVknfB9/bhdUpcjrfaBuaunUirmYSMfJdUinp0HpGIs1jsbXaBRFIXPaKfDO07ku7gUdwcFqtWZTVVgjMklZLuSiYjphOpsxnc0ospymbXFtJ+zdTApiaZ/pO+qDBm3BWHxd9fiX0eKVEHxi9Kair+rzD7nVwuwVk3gZ24I3xlm7VdVJD18+g+BFPoIhXmjbFte10XdE/sZ5R9fUg8dG/NyuacEoXKbJigl1tYw6xwmfEwDZZgYTPMG3tI0A4Tqei+vEWFY+Q3J+omeZUhKzK617H4EUi0939pju7JEvLlPMd2ldh8myaJibipcX5IHnju8kfv5DaQ7HSDf9a1QjYXgQyIbmXUddVTRNI2LNRvcXobWmbZveSK5rG+Y7C6bHM9brNZv1Gre3IxomXYt3jleffx46YcCtViuatsEYy3Hn6Jxj036D3wKK6YRLB1d4/Kln+NwXv0hbV7z84rd4+8038Xjm8zlN22K04fjohGojbTHB+1glzTAiKCOVUp0S43Gr9aBzFkLo2RcEpA0zLh6STGkRug6Dk/sAhkbQuA9MR+BsZGCnB5sYzMBWkLsNDMv9T+hXCkhhGDzj4FiuZVurdLwRdF0n+i0ukGUlm00tG4nWkhCPALL0NT3nxCAfB9whJKZH3Oxj+2D/+wE17wNr76LpQudpmpZqI0FSEzW0Tk7OOD06pXGe/evX+aEf/3HuvvU2t99+k93FjN2dBQrF8vSEk5MTutZxfHjI4f37dJ0svjs7uzz5zJMoBTsHV0UXkSEQ3JYuGMD1h+Ho2bKEC5/xO1WdUvFFqYDyoruzWVfsH1zj1qtvQoA2dDRtTVVtAM90NmN/f5f5fAcQg5auayLTyJFlwlBVMcCs65oss0wnEwiQF7EymWcUhaWYFGIoWRTizo1o3NKL8sekMCSdorEzrKRySdc7Vdl8cKNrdLJRA6io262kNONjZVePCkLjQGn81cfW6q5r+p9J8hWYzia0XTK4UUzrktlkxnpZ4esWt+mgDTR1Tb1ek2WWbDqh2ZxFoBcx3ELRtk3fciYXAwQBic5vDv333se1WlrZi7zAF8L+zWxGljlaHF3bkucCQI9Hg9Y6ai4JyKCiy3EI0q5vMjkRpS2ZFv1Lg6L1AhblRUEIiq7pmM3n3D885OaNm3xpbwffdpyenHD75k2e3NnDZNKmpZTC9U/w/Hi+GGg5DyS9U0D7sMW532lVOCVQ2mRSXY6t/Lt7+xwf3sU1kqR4B+gwgBxKbd3sseFj2t9Myrm0MPDS+WltI0M37VXyuvOGdAnQ6H8nH9B/TjK4umiOyTUZslHCnPa+MagksYdIDlmbs1qtZB+3hmqzJrNGWM+jv0//ZXk+tKKNALxUwFJK9XqP1nXcevnr1G3Do89+iKAMVx97htA2HL35EhM7zMkU2KbAdDxmtTExcBwAwpS8pHV7fJxnPCV2SbrN0k5ohblsM0w2EUDbt9SbGt80kRHR4doO17TSXhdbSgVcF5aZ1jaC/AJAau8Jaa0JshqjRo9YibeArO9N1KaDLNcE1xF8JwWLrsW14kXhu3brGr+d8f6w6Jb+QcdF15l2uXwyw+YFSllaJ+t1nud0hNg6qvDe0DmFMZJYda2wYJxzNE6AFYLISfgkLxFGMXxInHthlkpxxRL6FlE5EnlBR4ArjeNUyNFG910szkfjPKQdXykdDXu2jW7Gcyp9Bpxb31PseEHhYHjJ0KkQ4t+kv01gdppTSX8xRgYihRJCZPOnWGm0n8T/AgIO5BEUHvQhR11D3vfvMzzW0APFUsiJMS8iCaWMioZ3hq6TBNMHS+s9xha9iZ6swamglEZI6sgT4LuIDM4ityKfocGOuhRSIcHHeEBrhTGaLJPW9w01wXcUuWU+KejqJf/iH/4DHn/mGeZ7+3zvl/8Y//zv/312dn6HD3/yU5jpHE3sjByN43cq7sjYfniAppBIBvSQOiC5nwAUlitXH+Xmq68T2hBlWxwaRVnmOO9pmiamM16IA0EYwWeN7JVlWYKqKMti6OgxFm1lvjvvWG02cc4Iu1h1jrqtaV0gaEO9qXj6gx/ioO74gT/6ZVZVg8kafvrP/+/4lz/3T+iC59rTz/C+9z/LwcEBLz7/Ld5+7Q0yJazYoiwkz4l5YpkXZF0OKlDkUWIvjnPvBGCZTqZopYQNjexhRhuCUSijKIqC/b19zk7PODw8Ip+UmMyysycyVPePT8gmE7zWXHviSf7Mn/8LlLM53hgpsgYlcmhK9cB5gC3ZsYt2CDX+4R92mEWkaSilxLmGmEZqBb/2a7/KW6+9xkvPfwPXbHj86Sf59Hd9hv39A2aTOfu7lygXc374R+e03lFVG/YuXcF1Hbs7O1y+coW3bt+iqtY88dhjfPTjH+f+8Qkv/Kdf5daNW7zw/PMc3b/PJM/YnU9ZNjXf9+Uv8/kvfIEr1x6JBmStdFdERrPUbKUYn0BPpRXT+VTyGef5xGc+x9HRCd/81gtMdhaUu3tRJEgNJOyU54CsfWGY0w/L3IXhnMfrURj9PD1TrxRKZehiIt3oix1WyxWXgu+1b21W9OahakQ+gjhSFALEkhit9IOxx4lE7DaeQ2SSRmKAHuEL2poRELzt1wEJMIam6UjSiV3bRg1lwVaCDyhrOYlSMvu7O2iTUa1XPRYleucy3H0QsLRuGtq6wTvH2emSLgLj87198kz2tqapOT084vTwiPliznx3j9l8jgfariFPkkteYewQRyut8SYjm85pu0Y61hR0vhOyYYwpE/ajerwrPUPi/RRQWOrPacInUieAjibzwx4eEEPfhEsFH2IXm4DGIeYuXVXju6bvtkIpXNvRNS0Bj3diPGdMNOhTGmsykSptG9rO43wjMXAqPkcQKXWrA1I4Ju4jsevKGkNWSseFyTKyYoKyObYoyWa7FLMZPjiszVDGxsKji/vvqOgRtjtr/zDHd6w5PE4e+2Alfk1PzoeASUBjCMIC1aJzqRR98iHi2LbXa6praSfb29vj5s2bnJ2dsbfejQGPJTQy+H0XWC+XrNYb6mhyB4rOxRuvFe16g1vXHN+6QzCGyWLGo489wie/61M8/7WvU63WTCYT8IG26Tg7O+ulLmAnrSAEtZ2EEQebMboHXFPlwPcAk7yud1ocgUpJbyxFjhcBdYnNMPwXooGOpijy/nPHzyW9V/o6XrgueobjxCol1SaxvGLim1qjUPSLXfCSxCVNNhVZ4L1uTEpavdw7YXwNYJ0aVTdAFgthWw3aZQlMCHFx7FpH07RsNjXVpmazqaiblqZpqauK45MTzpYbfOswmWU2LfnVX/7X7MxmXL16QJEZOtdSbWru37vL8njF8nTJ3Tt3uHXrFs47dvf3ufH2TU7PzghZTjHfEaaXFhbYGLAfj4OHdaNMwdZFv0uLsFKDzraAAI7NZknT1ly6vI82lqqqqTcVR/ePWFcV00nBdDZjvliInnasaBVFwWxmqaqql5kJIZBHuYSyLIGANRZtDEUhCWpRZBSlFJVQshmkv03jqjfKSgUJBp1BpQzOJSmJbVDlfGFFRdZPHxiee75bxY1zAUcas1L32RbN11qR5zmz2ZSuFR3TLKvZ2dnh+FjaCKuqoq5rXNdRrdf4ECjLknV8b+cHHXAgStMMYFpioSSX13S+W8/WR/3vYFAZmMyQFRllKGJSXwPCfJ6UE3ysrAqLpcYYQ9eJg29ZlrK+xXXPB7kuraNrfYA8z2i7Towr80IklFzg0sEllsslN956i7/51/86f/ov/nk26yXH9++yd/8yl649Ee+dFh25ETr8zmDvxZpL/z0AxClAvCjTGQcB42smVu21zdB5QZaXdPWG6WzG+uyYk/v3ufzY43Gf25Yo6gOqeGztTcpeeB6JXasjSElkTST9+dSXuaXfG/e9QGJQDO91UeFNgvkHGYEDY2+Y313XSYKEEv1EbTBG4VphOAXvYkfOMD4SKJ3m8mCip4aALp5bAoYUUBjF0Y3XOHj0SYrJAq9zLj/yFMtbbxLC0OYmZIjzjBwAKX5mRZTJGf0uK3LaNpVI4vVFgGcccBtrCcbQtbIA+uBEtzXE54DDNTWuESDWdx0hiLFo2zbiFB2NVLIsE0awzUgt+MT9z3WdtFH2448egAvQd1+kcaBtRlwUJQGzGTiDLSzaSgFKdxKsqxCZ5O9wPEx7bX/8AQD3+YS7X6uVJiiPLScU8znlpMQHR93UzJiilGaT1mQXeta+D4Gu9X2LZFUPIMEwhjinFTzEoGL028oenQtomGWmH289WBqG+aC1FgBayR5qs5zl8SnOe7LIWlUqDGsB26aw6bovAh/C6Psx6HMefEzrisgMSmdR0hdO+Uky9QuAS8l2gC6o/p5rLd4CKiSJqSSvEueb0tGgazhHE1vyU5Fn0AeWWeEDBJWkrRKwq3twIvKae1ZmX6hy2zHK8DWy9NN9VdKCnBtFFuUjjB0xrxnnBqN7HfWNtZLuDHlWisoa/GrNtCwIO3Dv7j1+7md+hj/7l/8KO3v7fPGHf5jf+fe/wnw+4ckPfRRtp98+CBcEkH9YjkBquh6OPk4mQLDs7F3l0uVHuLN5g5B5bOgo8oz1pqauG2xmmU4KLh9cEq+JqpL92Ukhru46fFWx3Gyk8OAcShnaRuTWNtGTo+s6kV6wGdY5YQnmIhulu8BLL7zI//H/9H/mY5/+NJPZDJAukk99z/dQ1xVPP/MMJtO0Xcun/sgP8A//zt/jjee/xbSckmeWYDUh11L4CZqyyEkdH8F7tAoURY42GZuqoW1atLUElIC6zkMuYKrWCt95jo9OyAshdyitmc5m0vm5qZiUUy5fuc7twxN+9Cf+JPl8j2A1JuWIQY9vOud9KuMvHvh22G7/4EH5wJ5ywZ+M+MqImAA88tijPPLoI/z8z/8L3v/+Z/ngcx/gS1/6Ei+98CLL41NOTs/4N//i55nN52zahr0rV/jU5z5DNpmKKa5SvPbW29w8vM+P/fCPcHjvLn/nb/1dXnj+BSwwsZbFbMqlsqRxnqOzip/4H3+aL/zQlymKnK5puHf7NuvTU1zbcOOtt7h1+w4oxcHBAbnNef9zH2S92TDf2+Xao48KuxWYLXb4/Be+n3/7C/+KzeqU6c4cvMZp8VnRBKwBgkDGBDE77ItrD9E+fBFZRAD//qegNEaLBMNkscd6dcx0sctmuaZZbcimE5EDjGBu8AEVBsJb6riTz4Ogh0634AdJ0X4t7wFmIvAeCw8JT/ISs7moRxzCgIeAMJC9C8Lo94HVao1zHUZLXt05IWFppWmc58qjj7E6PWZ1ckIZO97kucp/qdDbOUfbObzTBK85PDyinEyYTqegpANpWpR432EUYC2EwNnpGVXd0rQtOzs7ZMbS1A0mn8hchi2pCOUq2rMG1dVSjNAG38UiTIzxIdIbAxK/qgQIx9CjjxXi36VnE1nWHh3j1x4QkPcNqo/7XdcSnIv3VGLharPBtW0f30j3leS4bbz5xnuUa5nM5+gsF5BWKVTwdG1UHoj7qwLaWoBirTWT2PmYRXNopQVg7ueV0WhrhRCgLSqaN2dliSl2qesTiqJE63yryCF4xYPj/tshWbzT8R2Bw73cwHhqpWCWlLjQt1IaY6QtZbWSgde2fYtTAniMUVGaAWbTjqY+ZrFYUFUbTk5OOD07Y76YoRRYI8L762rD2dmS5WrJerMRPeGqGQZhgHI2Aa1o2lomatfyyskJNs/wnQTPeZ6TFyKOn4CXnZ0degA8TkjRSdlm68rrh4fgnMNHgLUHhdlmSWyBb6P3G99HGOnT9IEhmKyQ6o7fDorHzyExO8bJsveeLDP9OY4ZwiGEvgU3BbTee/JoTqDPXXOavGIEKRXnFGyOr2OsHzfeTHRsnUoAeQgBr8Am4C8EcB6v5Ly7rhWpj03DZl2zXm/YbCqc82wq+b6qKqqqwgfY3Vlw7bFrTGZTDvbmXNrfx0xyuhA4vX/E4f17LM/OKPMJ948OefOtt6irGqM1d27cIssz3nrzLZ7+4HPS8to2GJsLazze5/+cyfbf8jgPnI3HEVx0XRexogNny2M2mwalLNP5nLdeXnF0eMx6tRax/nzOzu6OuCmH0DNibNQonWXShkZkISbGic2k3dMaK27PsfhirYDFKKIhRocOUkjwpI02zrHUMhJAMegZXnSNY+mUEJNqk+5L+pNzIOMDrCad2pJ0bAsa2MjImchKqTVoj7aWPM+BlbTlFAXT6YSTkzPaVoouStBuUIrMZvJvrcQ8s2qweRY7LgSkTSAVxLbbcfI32nSS/l1yig1G2qhsY6gaYWvXdYO18b4YLe2K8frS54hOvBqA6qCoq4aghAHjdUBHcN05T1GUwpjuGrmmPCP4koOrl1hvNhzsidZe1YjEwfL4mJ29y+SzhbRxBaQKzvb4vei4aEM8/9p3+vl7+XjztW+x+OgnUDZ/IOG5aC9IAZF8MZhsQj6ZsFmd4DxMp3Pu3blNvVqRT+Y9iwyI+r7SCp1ApRDBPnpMaPsZ9HPIDzxvqYoPAEnaUw1pPvley1oYK8MeY1B0Xdu/f793ei8macYiBUoJypzrhrkfGYvBS8DYdQL4YgShMUaTOg78uFXPD+yMrjeXHRyn0whMIH2/3ykVmZld3xIneLtIcyRm5JZsQHpm6J5R4IO0mQ1AsnQuuK4bwJQgsVUCLLROppIbTJbjuxzrhUXgutDv0aHraP0KbWwkZYTYMtfRtaIbLs9dCnLaWNAGlIn3OjGKYpIceqGqeF5D8pPAYvm1SAShYsIT1zdlA8ELI9lG5+16s2G651GpJXM0T9P376ZN/Z4+UnVrfLpqAFjNCPU4f+3aGOb7B5SLGSbLaZuGqurIc3ldXcs8SQxf0c6TMdq1LZ0TZ3H53TDGXRgIADAURgiaJq6xeZejTcdkUlDmsp9nWYZv2xGIKfPfGiMkEKXxHnYWC0m4QkCpWHTyDj8qaqRzSmz1HhQNA4FhTGK4KPYa7+fpNRK3aKzVD8Td40NHYL3DodFkowfUt8HGdct7HyVhfG+StzWXR1/H0hjjotL56xiz9C/KAyLNTMYOiYAS225VykOGbgk7irej7DupoDZ87qgIGFS/BpOryPwWtlMXyR55CMzbjq//2q/yoY9+jO/6vi/w5Pvfx5uvv8prL73C7t4lLj/2DMkA7J2O8Zju84iH/YjDyeQFB9evc+/OLehqrMppmxaUIi8KfACb56L9eXQiMgx1gzZWNGfrhqaROdVkGc452tbhOhmzVb0GhCygQAw/84LMGigL6s7hgudP/PSf4nOf/26cMXjl0cqglebxJx/DR4Cl61qJrfOcL//kj/DPqjPcesPEWozR0olrDcZkuK4TjwqrUQSRmchzlDLMd7V0A9ssFvRirBm9aJq6ZjadkucFVbUht5rZbIZzjq6tmEzmNJ1ntTzlgx/6ANeuXY4FLnogcjxb3zujReIQm2V85rs/xwc//EGuXb1CXgiR6Or165wen/LX/u9/FdV6gofOO9ZNw9e/9jV+4I/+IK+/9jp3bt7k6P59PvuxT/H/+9t/j7feeINpOeHK/gFllmEVZNawripC13Fw5Qp/5Ae/JPrjTcvrL7zAP/8n/xS6FqsFUJ8vFtRNy/GNGxhtufXaa9w/PmYym/H9X/pBnnrufWKQ1XkuXdrlkUev4bpWOgyiwa9VCkbSOf89HFtrz7kcVyIZLSaPQL64TLNeM3WO0HXcvnGTnb09ZjsLkRUI9CQ6aemX4msCbkMIKBfXfTUAwP2+1IcBQ4lsXEgMIUTd3wDn9kOJUwMhaKpNTdcJqbHrOoqi6D/fGoMPChcUum05fvXl3gekdl2UgRMzOukuix3qYegu2mzWko8XhYwZD8WsxCnFfHePpqlo2xbfdhRZwdnyjLu37+C9Z//SPkFrahSlVhg1KnginaSh69DK4JSTmDMrcW1DiD43KPHQSOasPPDc5OgJlF1H1zaxM82BNuhozJj2VxWJLSE+B+8deB8lIyq6pqHrWnzn+/imaVq8lq6nrCjJM8EMdVGgiilZOSUvClmzogSq9PfGZxplvlQ0LyRif6IvnKOjsbNKciUxt1YxBlfaCCHWi1Fdls8JOhOiRRxH7zTez//7Oz2+Y+bwA8GZuoCdpSKmoQ15XpDZnCLPBYjLLMYatI2Am7KgOkrv6eYddVNzcnzK3t4edV1z985djNYsFguc89R1RV2LVnBdywRRCpq2EZC5jWxT19I0NdZm0q6OBGjFZBIlDxTVZiMU+rbGWNu3v1u7wOoMgqZra5mYEfhWGrTVaD04o4cgUhFaKbIsZ312hlH0LXQiWE1k/IZe03jcBttFEw4JLFNQqTFaEYJIZoQQyLOc4FWsRAzVggGUFYC4ruvIzBYgLrX/aKRdx/lAUU7Btz3bRym1ZVKXKjMqXosk+yQhSgHHeur/MA5SgkcYMU/T+PGRSR71GbVKCbQeJD2cp3OeuqpZLddsNhWr1Zqu8/1/JyenrNcrUMKiXMyn7B/sce3aNcpJwWw2ISio24bqdMlyWXN8UnH7xh2O7t/n7PQEAywWc/I8xxrRRG2ahpe+8TzTyZSnP/A+cX6Npogq7pjvBlC9l493A9XGm5AcsrmFWCEliIbmyckRNp9yeHifu3fvYYylWm9Ynq3AIPIBMSnKc4u14pptovu2tXYksj/o6NkYnArwIsL24oqemKNSeLFWWim8D1JZTBtvBHRSFTYEKRS5pBOsdASQRhXklNypyNRCEkafACF/znn8He5n+v35BDfdRgi4zo0KN0OLTJblveuz9yGWSuVvszzHGoPJLH4j602WZZRlGdfBGpj353N+U0jJZzxZOUdt8J0ThpM1GCvrsfeesiwkQDQGh+tdjNu27a+pbVtOTk56vTnimlFtKrIsByWaU8kpVmcG5TqUNdg8w2hN21bM9xZMDiesNmfsHxzwvT/wJd54+SXu3L5LMd/halniVYb2GqXZShTe7XlctBlus662AbqH4fhf/+7f4Ae//CN86Yd/cnBFHo29dJy/fhV/r22OshlZOaFxLZPFLtPlkuN797j2xCyOjfj3sS1WKYXra0OR9alia9YIbICxnJDqf+dDiJqlqRUsSr7EsU6sdKcuGbQwlgQA6baf2ei5ee/xdPH8GnSUgIgIJKFzfSFD9t/0vOU1g4pFGL1uAG7SewnIlcAuYRVIMURMfPrrj/NbE1idHpNP5xL0ao3OMgjtwBYcPTMtDaoXPm8pskt67F0b16BkyhGfrBIGRNM2ck8BU5Sy7gWF0mKQEZo2xh5GdNViAtJ1Ha5rI1s3I8mOaGMxNiMoLSYpPfNye7yFXqYoAVCj/UW+6cFDraJZGBCdP2NhTaFtjo7x1ziWGY+vdIxlPi76/Xv2iON/K5C/KGjvfzTuTlHsHFxhcWmfS5cvc//OPU5PzijKkqLIIBCZQqP4PKRuDhnsbduSzK1SwdfHJEUS3QfXDKUUq3WF0lA3HTuzkrIUbdGkOep6kHFgryTw1FoF0Vg0IAUUJRYc/fo7PpfQdWidmEFDUTrtYecB3vFad56FPBQUhoLFyGJATN6s6DXb4FOZOa49cd4FMGaYsyomNXLfBnm3cfEiHWMdY2FRmv79VSyyyN9JLpDWwfG+lAp2amvI+JjgxmcVyRY9mB5GZBN8NIxjYKhFULYHrl2IchTJkd5hjML7hrKQddU5z7TMmOeGX/kX/5yPfddnKKZTPvaZz/Jv/vE/5M7Nt1kcPEI+mY5G93Zc9DAWZL+dQyshNqFg7+p15vuXqJuKpqkk9tEWpVrysoC24+T0jMlkEiUiIoPdDbJ7UuyXONF1kSHoO4KXvayrG6aTCdYYrMmw5YRQZNA0fPAj7+Mn/sSf4PDoPpuu5dHHHyeEFt85cI7XXnuNl196kVdeeZkf/eM/xpPPPMmVR67zY3/qp/iVX/xFfN0QOoeORceOgDeKoImMe/m66jpU1FcFxabeRIOqnNV6TZZlTPKMcjpBZZZsUsh7WNGv9woyO5E1Qmk2lXTNyXbnGXaa9+YRCJHQHLh0+RKXLl8CIkAVAsEaFpd2+ek/9z/xN/7f/x/mRUnXtBRa862vfY0br77Mcx/6MN1mzf1bN/lbv/ZrGK25duUa3gesyWk7R+M9tB1HZ2c8+8Hn+At/6S+RZQbXNXzrG9/gn/zMz6AJTPJCJLYUdOs1eMfESLdHszxht8xwXc1v/Ltf5jd/49/zzAc/yAc/8nF25rt84P3Pcnp0hPae0locQ4whU3a8/v33cWyvQYKxQIiFmhabT5hdfYwANK3jcnAc373D6eEhk0lJMSmxeYYy2bBemxjLoiJpKQEFsYgf4+rAODdNqd44Xxz2sz4LH/1e8kcVZU9FVmod55yci466/x3GWIwKeByurXGdo24byvmM+c4ONhoMG2PxronEQy+xhNZRzoWIVWlsbsnzAhM6TFYyzXOq5Yqq2+C6jsl0xtHxEYf37qOVZn75Cj4vcK7BxJw8xcvB+T6ndw7aei3rFJLzqti5R5Br0uIcN3QdqkiQkMoLrqnZrIWchnegPLYsCbXDKEMX90lhHkvMoyPg3DlHVVU0mxW+a9FedJcbF+MRbZiUU/KywGRSyDU2J5vNseWUcrpDlhdxXMVu+R5LkdAq+ABapLfyzMZuCw3K9BrDfSyt05yL3XpIzuHaGrc+hbwQjy507C5DDO7+Nyi4/qE0h88n5+fD3JT8ARglhgez2Yy6rntwJwVEoMhyafMsy5zZrKRtG+qq4dq1qxwdH3Hjxk2UutW/d9/SqRSTskRrzXQyjWxTYdQppdisNwQ2tG3LerXGFgU7ucXqjJPjE0Lbsak21E3NdDJlOp0wnRSURQFsM1UCRBkF1RvqJd1cmbhRF7dbR201PQr4Uhv4NgCnVFwoYnUjBcLjNnhlNJYYzHqPiVoj4Lfuc0poVWwXzPN8K+mFGICiosu7GCT4uukT13HQPj73BDSlzUKNmVNBWvDS5BXwawD/wjhg7c83TQBJWBSa5BZZVzV107JebaiqWmQL6loY4yuRk6jqmq5zFEVOUeRMpyWXL19md3+XclIwnU3R2uBCYHm25N7hKWermsl0zs0799icHEm1N7Ps7+2SFznWZqzXK6qqYnl8xFuvvMylS7uUkynKZmidSTWIhxMYPn+cT2gGNkn6mUYHRQjSqqlUoKsaynLKU+//IKfHS5quBt+SR/01fCA3OSooqk2F1iWTyQRrhek3mUxGLBnR4EvMl8S+NVb3nQRaD2ykXo4F+RyFJ7mYpvFrjKGp657RKxcaWcUxgSZuVMRCh8RAqgdst+fnNmP4nYCJgemTkjFp0ZH1SNiLbevwbaBpO3xs5ZEApCEoTzaxmCLDFBkqk8/L8xy06Hxao7FatJrPOMPHdvCu6+hcJ07SWpGXJV3T9Pd5fM5JKxEj+ukJqC/zgtB5Gq0oJxOaukEZi7UpGAm0TUsg9EWnTdTAs9biY9t4XVVMZjMx7nMiqq+DIjM5KpNOioaaPMupNxWX9ve5dfce/+4Xfp4f+ok/IbqwzYaTe3e5dHCAnVi8Hqqw3wmoe9H4vug1D8OhvOO3fu0/8MnPfA8HVx4BLh6L47G7NZaVRmcl2WSO6zq8gtnePnduvE11dsZksRD267n3G38/gB16q+C3FQfEz0xzOaD6/THJMyUJIhj0+88DCOHcNY07GAIIezh15LSdSNFoRdt2vXZykpXRWvXxQirOJLbBuKCzff+GaxqYeuOxp0agjGiBZ0ZzeON19q9cRymNtRnzSwdU92/2f5fWsDEANF5bkilJKqIN92DrlEhA43ZBXmGyQgq4ShG6LhqeOHzjovGf7kF+kE6sgEiPGJthsxwfYFOLEdH2OKKPSeQMtgsE469Jn3IYFxfHrQkQ6NqGlhXz4FDnGIjjseHc0Mkw/sz39KHUxRff/3r8u7R7AMr1vy+KGY89/QHq0yVaae7cvcPZasm6MqIH2ieXwoqR1lAfNX/pAcFATFRi4KmRQn3PVAIU3TBGtQY/GN7s4gWQRmSiqqramqsxhyMEFwmAur8qfCIvqAf2JaM1bedJ7ei9pFkqqvDOBYN3O9JHqLgWyRUPTOkQ92BlxDn5fMee1sK81ymjH8VIXedFLokHO/1cyhvUwNqFEZGD2AEQJC/wftBd3oor9GC2Ax7NsKcPa9YALOswOnelicIHglMEv8Uylr8XYFq6+ZKmdNcbqyUZKO88O/Mpd+7e5vjwHtenTzJf7LJpO2689SbPfuy7ELFTSej78z+3Nsi1hz9oSrznjouLzkKcEJ6MolzssH/1OkfHRzKfXEdW5CJCEBRNe8p8Ppc4TemeFD6QemSPaZoGeeaWEByTyVSeXcQP8jxjd3cXryy189Su48Mf+wQ/8iM/yq/8m1/kn/2rf4Epcv74j/8Ej1y7xuX9fX7lF36RF59/gSyXOPxn/tbf5if+5E/zoY99hOvXn+DTn/8CL73wLRaTKbMidqgqLeaXOsahSkuePJsKOaFphFigDTu7u8wWC9rOcXT/kLs3b/Dma69hipLTuuPkZMn169eFYYewl22WUVcN08s5O/uXSCZVKYL+z2G8/W95qFTcEZOgGAsl2Zk4x4CPfOJjfOmH/hj/5Gd+lsJaMpOhNRzeX/N7v7tmvaloug5T5Dz3wQ9x+fIBTzz1NDvzHf7Zz/1T8tmED3/so3z+C9/HwfWrTCYT7t66wc/+3b/N22++yaQsZby0ga6rybOM4BzTSYlzDV1XM5lM0CrQdg2ZyWnqDV/9zV/n+a//PlevXGWWC3Fub/+AxeXrEFJ3VIjg4KjbQUrFwMWx9MNwnI+Ph3VJutCapgbbYWzB7qPPMNm/xNEbGeXOLquTEzarJcdnx9R1RaEt8519dFaQl2WMdyPxJzJIE1li7BmVjmQiPMRXgcCwJxF0DyhLQ6rCOUXXdrSdvO7sdBn3uERkCP16kvY3Ids5XNfiQiDPRZLAtS0Yg2Mg6HWt+MmgJedumhaTpb/vICj2dmZQTMhzi/PgUazbJV1bkecZh4f3KIpM8sC2IeDIJxMxqevj3kgYUZrJ3jWmStNWa87u3yF5dunRmis5xYNxX/CBrmnYnJ5RbTbyu7hO1t0KmwsWYa0Fm6FUlAIxImPhmo42Sqz51tM1HaFzUli1lrwoKCczTFGC0ZSzOeV8QVZOycodTD4RWYmo8ZzGUgihf3ZxQvV5kAZhNkf/Ju9qFMMeACHiiiLlEpQS/eE8p1p7zHqFdh6mM1TI4wWH/rO9H/CKfqxdhFV8G8cfChw+/2Hn2Ur9bwO95lie57GlWlxMh2BPApmiyJHivMMYzenpEqUdV7JLbDYNq+W6T/ImkwlFUWwx41Kyl5gNzjmatiUvCo6PT9m0FV4vOVwt+fgnP8k3b/4+xoPNDOWkZFKWLKYlOztzssyijcJ1501xJJnsnQVTsBevxcaATJkhwVU98OTx0YE4mVIlLkNiOKRE1fvhvZ3zvd6Ziom1iM2HFOOPBsO2m+XAYBD9kyHHlEHXNGtynWh5qmeapHspgejQlue9E6OEUXCfPmtLKy04nKPXJYYL2FmdLILee9qmoW06NpsN682GphY94bZ11FXNZiObaV21kvBomM1KptMpOzsLptMJe3t7zHfnsS1eqj/r9YazzZrLVw/Y95qXvvUym9WKvZ0Fl/b3WOzMgSBMdq2ZL+bMZlOO7t3n5ptvcfnKAbv7lzF5gcouZq08rBsl/EELxTitEdZfW1WROGdY7O6ys3+J47ffEldlpbBxLpoRG3gMLIjEhASo2kTTsghiJg1dHZkKQiZMBjGj8wwMbRkMgIEstK5PlBL7TmkdjaCQxaYnGY4ChXe4Lw+AVlublb6Y4xA3/a7ztE0XDfca2rajbho2m4rNpmK93rBar0WmQWsm0ymT6YS8LJkvdtBG9+0qRmuKvKCtpK1JClWyC6b7lwCCpqoeyLzGwFOfWCrRuMqi+VxTN2SZFfaClaQ0BNuvsXWoe7fqVKCrqkqY4UVOORHW8aAT3pIXUZ4ms3gChoD1ns4K69iFgL1/yLd+92s8/tSzfOubz/PY9QNWJ6dszpbsTRbCQo/nex6IPD+GL5qLPavqHCDxMM1boyxd1bJZruDg3SvEF4LgKHReYMspeddQuRZTFuzsLlgei66YzfMtg6Xx1wQwhShxMtbShzE4El+d0MA0z7SK0jDS1WKsFDcTIDNu/XZOWr2IYxZG7GKI7GNpe+4TSVxkRbrRrUlMd9+DsEmbWxgTUV4p7nvGmBFAHrbWCKWMuE7393MM7ArshHe46gzfNsK8BYrZDqs7bw9SSucB3fEzUkMBJAHD/WvfZZke1iVFUEZ03qzFtY0wIZDCWNt1WKMi2y2ei9YobaWjSNvh39mgaQr0Ul3jEZU++8LrSYHGFqgdAe1YYO1B+q7Ddy2NEwaKjZJW58fxuDg0FJ7f+3P4D4+ByQ2UMZ6xf+1RHnn/EqcV2aTg9PCY0+UZXfCslqto9jo8F2NsLxkG0WwtFk3Pr53BbSewIUTof8TIbZqG5VL2BhO/l0Oe6xggFRzVM2gEDp01sq9v6wxLQUf1yW1f0I1FEnjn9foBQHU0Ri5KimSNGZMfRizm+Bm9fnGUp0iEi/S78b+TPM74/R9IYreAiOFIe9JF8hlD7CQjQI9M5cbnoNRojU5PJIhMTboua228Xj28Xgmg5d2wNiolXhR5DiGImVrhMpq2YTIpMKdL3nz9Na4/9iTWWp77yMd58au/MUpsx1HjO1/3+fN9Lx/jcbQN7kjeGkuHKKu4+uRTHB3d5+ReoNmsMMr2hsZFWYpURF1R5DlMA5tNxWQy6edG27ZkWUa1qXAuUOQl2si8tdaiM0vnOkw5wXWKx596jJ/4kz/F5cuX+aV/9fP8/D/7OWazCU3X8s9/9mf5iR/7cX79l36Ze7dusz+dsljMhWiQ5fzGr/wHnv/aN/jM57+b9z3zAR69/jjr5YrpZMJbb75F0zQ89773keUZd27fYb1e8/RzjzKZzWIer/qO0a4TA0rqmqc+cJWn3/8hPvO94pHjnMTAs9ksxhGSIycKpcT8FkzynpEi0wNB+Xvk6H0OIJJQJCaSrlKNRySbtDF86Ud+hL3dfX72f/1fca108GTTCTtXLrO8dZs2dPz5//1f4gtf/EGKyUTGVwg8+/EPUU4mLHZ3JK/xLd/61jf5e3/zb3B65zaz6RTnO4LSVOuKoihovaPMMjZ1TeccRVlgvMN3LZtqg80Nbduwt9hB2Zyurjg8PaaeTnnphW/y8U/vYMopVVOT2QLpVEpM4sRkfVhm7fZxcXGn/y2yxsu+Vq9OyMsZyhTk5S67V5+myebYfIGZHLMTWprNCldV1HXF6f37UiBZ7DCZTsmKHCK5yTkplI6XwLRXjHOx3g8g/lsrtVWw9V7woy52xSkUZycnNFWFyYQBHDx4NRBCBNCVPLSuGzyevUuXyPOStm4w0R/Adw4XOrx3sjcbSwgKozO82AhIjIZInFVdx/7uPvv7l1DmDZq2owuBTcxNq03HalnR1Btm+3sijUPM500sfmsxdnWuo733Jo1XdDpjupjjNisBaM/lIGNMS8WiGiFQrTesVyuR6dFKfIfifto0GyGYmY5W1b0UmzZGQNrYGum6jqZpaCN7eTKZUUxKdD7FTKbsXNqnmO+STXfEIM5kUStY9/k4arRkeVFlI3iC73CuxnW16BsHR3Dymb5rwHWI1BOyHvrY6WysVKWNQuVzZrtXmO5cptssqes1uQ7YfEHQeRzj57HA//zjO5aViP/oE9QHmJSByPQSDRsdHa7zomAxX3ByehI3wQQ8CJvGZgZUhlIzrBWjBZsplmcrjMkp8lJ0UVwKjBLNPm3gQ9DU65hZS+ec6KRhaduGzfGSm2+8jfcBk2XMdhZYDbPphL2dBdNJ2TOjkmlXWly0lrbspA+S2BgpqNQqNqj1SV0KPAdDmW3dvCEhFCkJGZwCEg//Ph+4+xAnjwqkqtFwDEH6+UQqBC/szkkh1Yvo5ui9Y3BxHBjTEjAOC1oaeCLlMbAqxxWwxNiSyTIsVv0kR1rzghfQp64a1iuRjdhsosFg53DOR5C4ET3WoMjzApuJW+zOzg6z2YzZfMbOzoK8iJMEBFBeVZwuVzTe88orr/LqS68SusClxYJLl/cpy4JiUlKU8nda694QbL63w+1bt3nz9dd5/KmnyWcLTCFM1dAnbA/X8e1UjPr5rYbFVyqZARU869WSpmsjI1Dz3Ec/ylsvvYyyBVmUhchjm7doiqf3Jc5pGY9FWZJabFICm+Z0iAmsyaLhWprLMbnpzw22xt94HI7HagI3vXM9XuFHRR9pf0/zfZhracye14M8f0+3wGMniXLbOBnX6w3r9ZqmEW3gum6omy6O9YqjoxPqtmVvf1/kdjKLzXMWe3sigq8UnfOYyIIPWgJyo8U0qr/GEPpuhXGrKYCNr3PRvR4GBqNo4WVkzpGX0fXWeYKTQlaeW6azKTdv3OwBLrmOmuRQ771nOptSlAIubjZLJmpKbgoJiPNcNuNgsBFYNJnFuAwU7O7ssLpxF6M0J0fH7M0Lqp0dmqrCuy5u9kbAyXcI8N4JFP6Dxv3DAC4BtN6xf+kalw4OHvjdmH16fjxC3DMAZQqyrMPbjbjsFiXz3T2Oqlvcv/02Vx97kszmtHUlztUJrISElaLiHqWUaE1LZ1ZqjRYwWOZLDAKD7lmDiUk3FCwHjS2lERZOKi0rka8QSZiRJAECVKowaLBppXHiZgFIPCVvPexJwXthbMV5AhHE8Eraf9UgvZLWEYfH5plU/dMbR7BzWFvk3upsgvIdupxh8wKvDCq0VJsVyeQtXX//9yqtRhcfIf43BohHpLyoqy6RqdzLBL5K0UerDG9ljzd4VDewE3V/7yUpEpktTdBiLiSXFxnI6V3HRZgHy2n93ij/9v2gkZpciqAjE0ZWNwmU2w7aFpOXaJP1Y/b8cVFB9r9kIPxf94j3crTfjhPv4VbHTiUdQOVcf+Y5sqLg1uQ1duYLVus1R0dHwsKr295tvChE1z/Pc0yUU5K12sU57Ekhow9Bxr+PmpPRK6CP7mOrqQIaFE3TMZsW/bx0ne/HcpJZ0FFijfDgcwtxvIawvW750PNcReoi3ZpR0eR8ISm953mG6njtG3cGjF8//Gi7KyCtTxIXp3Mcd8GN/QoeNMyE7TUZHgQExjuS0hdHk+k8+rUjagWf7whK5p8+xAbpHmwYQOF0JKJIP3/SOSsg6SUm7fYIFGeZxWiFtZoyt/zeV7/CZ773iyit+fDHPs6v/9tfZL1eUszm315c3BeMHr4Y+qIjmSI7oFgsuPr44yzPjpkaw+p0SQBsZpkvFqzXGxaLBW+//Ta7u7tYa2nbrtedns1mhOC5f/8QFaTrtpxNJZ80FmUtm6Zm7TyXrjzCT/+5v8DO/g5vv/4av/jzP898MuXS3h6res13ffq7ef7rX2ezXnPl4ICyKDBaujruHd5n99IB02nJZrnkZ//O3+O3v/I7aG14/IkneOO11wR0qTZkRcFyuWK1XuEDPPPss/zYT/4kn/zkp3BtR1CQFyXzxZxqXTOfzQkqYIoCUGgyTFGirBnNu9GcDQOw0TPt3svHaMnu98ZAbO9WsaAmMdB0seD7vvQliumE3/+932O5XHJw/So/+mN/nBs3b3B4dMKnP/tZ8umEVFoJPnD52pV+73XO8ff+5t/iK7/xa0ysZmcyFQk9FwjK41pH7SspeKPwytB2jrpb0wXRp54UJW3VktscX3WYMsciJqLL01MWiz2O7t5h/9oj5FrWjGS3m/K0tHe/55/P6BiW+HMnrbZXqrjyY21OaGvO7t4gn+9TzncpFpfJijl5tWRWr6nODlkd36fLV6hqQzEt8V1H01Tcu3eG94FiIiSzsiwlF4MeB0pxKNCTDIGoJRz32zCs0YnomNi23jkOD49o6wYbJcCMsTEmHzwuQgRQkzFtOZtTlDM8nhBaAibiRsmQLcbWkUhV1ZVIL4wKykprbDFhOl9wenoqeWwlDHiXOk18ktMRnMxogzU2kpdijp/2bKXBFGS06HZJte7QJusJhT52GymvSZ3CginJ+3RdR7URzynnPQZDkWVYm/VyPd5Fc7kQcDHCMAmjCuA6jwsdymRMygkms0znC8r5LrPdyxTzXfLpFJOXIr+GinKWMsL63qCAmPwGj+8aIWe4BhXGLOEIFrctbdOAa3H1hiTnEQjCtg4BG6VCbG7JJnv4xlFMFmTzuXiIrNcQLGaSnBLO3dvxPHiXIu27Hd8ROJyq2EoNbduSxMSb1K/yAd82Uhnwnk3T0lY1rnVUVS0mJQirWGsJQrRKAFJO0sEqy5KymFBHwf6ua+laR+ekxUHp7VZRAN24nj2cjtl0iveBtrXkbU6zXnNw+TJKSTvorMjZ250znU7IzgVUPfgUnYBt3MhFXFxLlTANEMWgvxvvjVSABibuedBWFo2AtHgNkyIFk0opjBbNthCDegHDYq4Zg/AQE+UkjJ0GyujhpWyT4MRtUgc9nCMDcLRVaVNaEol+wRqzKuhB5MR+SCwmHRerxEbuE28lbXdt62ialmpTs1yuWa83NE0TwWCH61zPOE/3zmZiVpYXOdPItNzZ3SEqKWKUolpXLM+WnJ4uOatqOgdHd+5zZW8PqzQ7ix0uP34dbTSzSUmeZ/11l2XJ6dkZRRDjleP7h5weH7Nz+Qp2MsXkpg9u4A8/6d5Lx4WJVgzgx2NUBzg6OqQzujePunTlKo8+/SyvvfyqtKCZvC8mpOJKWZYkE5Q0T4WBGh3QfcAFedakTU1Opl9TzreajVlj28WP7Tb1PhEE0c70gc472Xz64T2w/M8ndRdVnNP7m16bePgZWroN6rrh5OSUk5NTvPcsl0vatmOzqfFBUVUVd27fZb0WvbZyUrK/vy//nk65dHBAUJpyOpXx1sUW4XhfrbXU9QaQcZpcatP5JnO9EIJURZ17YKwGgMigFC1ji8ssdVWjNTRNi9aK05NjUrtcNwKYhkKQXM/JyQl7e7sEJ0xt3zlCPqwRvcZjZmlSN4ExTGZTyvksthlWdG1LUIFVvWYfL67ASc3r3HMdH+80F7/dn72Xjyef+QA//pM/xXS22AbpLrjm8T3qXye/EdfbvMRPZrQqoH1gvrvPyeFtDu/cYu/gOjYrMMpvGR0qJWaHUiQKffCW9t7+XBB3dA+xer/NuhqvJ/3cUtGQVknQJ3tr1Mu2Wb9e9NcZA96k0d/5TuRozGAAlxiP58fKeO9VcV8b7pLCZLmYplrbO0enG9i7VOtkljMCnxF3571HngSTA4F2c8rq8BZWWiEi4D0AYVrFYtfouY3PkdF9I8Y68TSHL2kvUglwi89CaZQRB25wspYaP8Ro/YdqpItImImMPjcGM6NzCNu/i0d6NsZEACuCw+kVAY/vAnUjcjIqOqI71+Hahrpa0znPZDbnIkmJd/v+YTguLkCl/ediViIMIIr8X1j02hZcefwDLPausDq5z+3XX2G2s2BTbeha+nmhjRGT5qaha9pIwADXSIKS5TkuRN/TAN5V1K3IsRAUNraAilpQwLiOrmkQ9pIXpl9cC1Sk+YlfgB7N03coVIXhazKs6zvVVIwrwwCObhMjxveGrbUkfU56v/NdDeP7633SRx8IETFtiZqNCm1Fk7B1DrMVUySX+iH+HnsNbK8x78B0H38ftvMqYfYP6+T4HvZA9wgsH85bmL9y3xx59g4md54+lg8m6vmHobjetj4+O3m5VhprMmrfUuQZb770Euv1iuliznxnh72DR3j5m9/k05evigRWHLHnc5x+ZKv0vg/fXD5/KOR2OqRrQ9uMK9ce4e7bb+LqiuA8q9Uq6lRL7rBYLKLhsiHPM7TRFCHDWst0OpFOynZOcIHcZuSTCau6pgXqtuVzX/giH/nIR5nMdpjv7dG5jm9+8wUmecG13V2MhnXrePypJ3n++Re4dv0RjNEsl0scnkefeIwf/oEvsq42vPnqq/zqf/gl7t24xUIriiLn8M032MkMWa65vn9NdJIXU3bKnKpuuH/jbf7G//LXyHIBjTvnyIuCD3/oIzz1zDN812c/wwc+/Bw6t4RIzJjOZoTgBowuttv3IyCQysIx9/hvUPQbFYvevW5x7pcxhunB4qBQGOlG0gaVGz7zfd/HZz7/eYldvMcYywf3LwNSyPVhYHtmNsr/BAU+8G/+5b/kq7/2a+wXBbmKICIa7QJd9AxwXUc+nVKtanKb03pHlmc0m0Y8i7QYjULAaEOzrrm7XnP96iW6tmazXvHWG68x291jutglWhD3dZwEDnM+fniPHyEhU4ptgDiE/tqGB69AWWwxo2hr1qtTytku2hZoW2JmOygC0+4xdqoVq8O7nN67TXV6H19vyGxJNgHXdriu4ezkiLNjj7YZRV5QlKUYw/bAp+9N7NL3YkQp/i5WieRXAhXbtmW9XlNVNcEHiqIgyxODld4kVUg7UuRT8VoJgbPlGZP5jLLIeokDH9L+muBF6ZLbrFesVkvKohS/mxCwxjKZTJnv7FCfHlKdnlGfLvGtEDgmk0LkNkpLUWbozKJMFhWd03UOwLjkCwGtAkFrnBLZB/Gk6F0A8F6jvGBgAY8Pyfzd03YtddvQdQKsLhYL8qIkKEVuDE3b4NuGpqp7WckQAp2SWFVlGXqyYJJnTPIcleWUO7vsHlyjWOxh8kmUdhr5YfgYb4eBPCEgscfXDW21RrkGhWBqvnOEzlFHzMM3DfVmRVUL+an7/5P3p8+WpdeZH/Z7hz2d4U55M7NmVKGqMBIgCXaLJBpgd7OlliW5Q+qQWrI8REgOhb857D/Fn22HQw6HJMthO2xLsqRWk01xaLEJDgAIkgAKQ6HGnO7NO5xp7/0O/rDed+99bmYVCHQzhJQ3Wcg7nHvOHt5hrWc963nWV0JWMwaloUjScDbF891mQ+gDYbehK2bMwvM08xmPH1xwPF/mkftErDU9fto5+5PLSuTFMCU5DKc3nElKmESGQNi+nrOzM8qkDdi17WAulRNBbcZWz9ySXpYlVV0NDNK26wg+a3hm0xoJ7Pq+S+1iXmQYQqDtOnZtJ4ETEWOViElPXCYXs5rDwxmLeUVVGWyx3+KVr68oTTJuGJkIZV1z/4MPOFwux2AvTTwXPFYbrN7XJZNbuA/GxcQElu9HvUQYg9XeiUlbDgSN1RQTcyKdkuNs6pN32izoPQVz5MMZqlQSGLIXUE/b1W+ef/7MafA3gIg3AtJAlMq3Es5Qrm71fc9ut2O7FUOCvutxSTOy3bVD4lyUZdKtNVR1mcZEzXw+F8DJOaISF85u17Jbb9msNlxeXdOGyKMHjyg1LG8dszw8YHl4CFpxfHJCYcSFUikByEtKIpGdsdy+fcrF+QUP79/n9LkXaA4OoSjJ2+VN1sizcNwESqbPND/PnKgpRDsJLSwfHz3Xl5dsXAfR4xEn5OdefFGApBSkSEInbd5VXbDb7SirQsAKa7GFFYM/JZuGMOvEqCIPTQVDu2M+t3z+N4HhMLR7x0H3xwePYizGZABDGYVJJlAigJ8A6FTYyMzafEzZOyhpw8wrXQ7osnZg8GLe0nee1XrN1dU1l5dXtG1P3/WsNxtWq7UURfqe4ANN03BweMTJ6Ql1U7M4PODVNz9FPV8QiMxmM3rXE12PDlGcWIkDsK60SlIdhrKuyFIXegLqTFl2N+dqVBFlDVVdyVrQ9YMuXbuLQ5Vb9I19KrC54V7ldmNZ7wOLxSJpn8lzFZABbDIjjEGAh7Ks6Nuepm7onefw5BbL5QHWKKyyoC1V09B1O5pFLcWzEQ3bG8PT8Ts9bibke4DkR/zNz+rxD/7n/z7HRyfs60s9/fxvFk1g3J21tXhboosauo6gO6rlIY1rWV9eEsKHHJ3eRRd2aGsWxkC631Ghb6whU3BnWmBRjHvG1FDqaYdSoBLDVoqCBSokc1YlLr35c/I+NhRDEoDU9/3wfvl8iqIY2Xo3xkoETGHT+qPS56evlU7tdTL21aQwNXT+xGROpXKga8hmaxHF6uoSo0n+BGYky03H7qQAp7Vmb0fJCUwCojJYOKzNEyAqM4rHuGVcSHPgqDHpo6f3QYBriVturrXT5/PkfIN9DeDox2KCBPFjYWi9XsuYKMrBFT24nm67oet2RG1YnJxCGj9D6+7kJPJYnBavP2o8PUvH068hmdiwX1QRYDBQlhW7oqSoKsqmJihAeapmRoyR3XaNbLGBWSX6sb0TcC/PI5TGhYgtSjZKxvVms+GqbTk4OBCQMsgeFUKWf1KD1MrNIk9m2JL2XWLqErnR+WaT+alcz5PEgum6M70/AoyOSfR0L/i4tX4qEXGzw0KGvcA68nshhoim/np4GkMxOIRk2BbSOT99/5mSQJ4G8n5UAic/z+elb/x8X9c434e8F4/XHyjKgsKavfsyfM30+zDM8+n88i4O8W2MibyTwMNHZ9c8PnvEbLlAKcWrr3+SP/uTP+LzX/w5quUxSpd78dr0EMa66Bw/KzM3xiiAADdgwbwoD89Vig5VM+PO8y/y1l/8GUent+hCEC38Xcv8cMn55SXNYoH3jsPjY7yXmHm9WieJL8/JrWOIGlMUbLqOsir4hZ//Rf76l/8Gi+Vhkl2Tz/Zdyzf+4A+oywJt4PDoAFtb7t+7z/GtW2z7HqsLPvOLX+ILv/gLLI8OUQr+9Ot/xFvf/S4LW3Ln+ASWnrbrWNQ1neuo64LzxxfMZyKHMW+kw2a323G9usYUlrkVE9MQIx++80N+9L23+If/xX+GLi31vKGZNTSzOf/mP/gH/MKXvsR8sUxwnUnxf9oDo3QfSccbqL1C5D/3J/oxP1JPfc0+Y/ZmgXT8nQKMEQBJJx8OleKJmPxITBTGrpngCN452t2OxWJOLhwa4OzhA77xB/+UW8sFcyudd9uuRwEuFdYKayVn3u6wxoKNzKqK3vcUpsBqTQwe7yOxKNi2O6q65sXnXmC9usR5hzUtO7vi7R++xWe/8PMQxABX20KGeY4b1EftVz+jh4rSHBafEivHJ8dYRBF0QTlbgt7gXTv4S5EMwFTRUBYNxeyYg7svs7k8Y/PwHtfnD+i366TrXopGb/D0bcd2vWazWom0mtbUTSIhJsmYGGOSjBBDStf3UsgNIRkHZ3knQ5HMgnPHrZgIG7yXGFnHgNJigJ5lTJ1zrK6u2e3e4fTWEbOmRimLMQmsjZGuFWLerm9x3tHUM9n7AWMss8WCo1vHWGtYPXrEbrWhbbe4TgoUVluudz1V3VBUDaaoMFWDciYZzO3vXdN9OYSAy8b3QXwJBgksxIdC9qpMzACUAWWIqVhclKXcl7qmmc3xMWD6nugd9SLg+55u1w7Puq4rdmhe/6Vfpl9t8O2W5uCY+uAYXTagDCoVj4e5L9WfwQQuy1t41+L6Hb7doYMnBJdy9SBG9M5BWdNtN8S+o9/t6DfSJW+ImLKkbmYUVY0tSrS2SbUgEEJP8J52s8Pvdni/I9x+nvOLK5bHdymYnuDHHz9pzPzTG9LBJPiR8xuSMK0GAxRbFFR1zXa74ex6zcnJESpCt2vFTbeyqRNDgqEcKJqkSVoUlr529L2j70W70/U+fS/GNsJE1ClJ9LRtS4xgrKEoy+TWPLLnDGLOVNelOFDWBVVZUEwcsyG3yEaMFU1U0UUdA77dZsNyuRxAUQl+BAy1RYFBqn85yGcCnsI4WaZgS67O5YpOiPKeAYTt4QP1bEbd1GxW19jsqByTwY/O7bbjhdxcB3MwmX9krRp+Pp7H5HlOAtq8YGUGlcgH7Cff+T1ijGhrBt3XYTsdACeX6P8SWDnvJ++dgErEEKGqykFSwliNc0LNF2Y2dF1L33tW6y3XVytW6w0uCGB1fDjn9p1TjLXMFnPmixmzphQNRi1akzZKy3xZlmLAcXDIowcPeXT/Ptv1NQddh63qLCaz9/yelUPtjYkbAdAk2cvfj4uJJCxVUfHNP/szfuVvtRSluFO7tk1MFiAizM9IAlLFWdUWVgagloKSipkVzABSamNGxrDSiF5PSlDY31SmCelwfqS2ysn15A0oJ3ZlWQ5gZl75bo7d6c9uJqjpJo7zdqi4jn+3a3dcX69Yr9fsdh3XV2suLi7wSTMqBpg1M6lyliVNM2N+tODozimvvPEmz738KkpZdIy898Mfsr66YGatcGdDpKkbdpstMXqskU2zqIqkmy2BaF6bp8nhTbZ/BrcVgDEUpazT+f4284btdje0J3vf0vfdcJ1ZUkIbM2h2S3HAo42hritsYQczH6M1GEV0AWsMZVWKLrGxzJs5ZVExX8y5Xm950ZZcXVxS1g11sySqvC4/fSN82vPLP38aMPi0v/lZPpQpiClY+bjjJph2E5RAGUxZY5wTGRHfY41mEU5RKHara87vv8/s8IhmsSAbQ0YyaKcxKoGmE2Bhul9AXi+kYPC0ZzBc1xSIjGMRo+97AaOUBpOKjBkQyoBSAler2Zz1ejW8X2YRT0HrPF61Nknr3GKKAmVNkplQaY0Z16R85GLwkLhqTUZ6Vf4MIjo4rh9+wOzoDsXikKPTO/j1I9xmPRhzTa95uPaUCAehM46fvQci3bh3iinvSs5/eo+HiFYBJhWHJ9eVwZk4+Rx14x2VSkakuQA2ZsD5dXow/oxSSAwBwrSTS8ZB3+6Yz+f4vpWWuLZlt90IMOI9zdEtqmZJ2JunI0A9vbbpGN9jd/+MHtPz3psDk0f0Y8P7dM3dbsPZ+9+nXYkmewgBHSNNUVBltnDfU1mDcwGvlCSaXmLi4Mf9U+SHClxoIQSJh4+OIMWiV5eXGKLoxutcyCCR4NXeeMp7jd4zUMtFjSdBUa0HWfEhdt5fpyTOlbVH2G4+MYqz2Zv3YQCWxmTTpDGRx+sU+BVAbRyzDCZCREmAq7qma1t2u+3wt0qJoWXW28/vLWN87JKaFmHzNQGjJI6aEidGb48cn+Rrz+MkpKR9LIYk+Te5s/L8bAKSrE1sKpdAg1x8H8fVANCnmHoAjWEAjPO8dUmuz1gLbT9emwIbA/c//ICXXn0VFLzwyiv81v/3/8N3vvEnvPH5n+fg9Lnp6H9iLvRdz1TD+Wf9UKkuvTc+p7+MWc5D2HsKzd3nXuLh/fuE4Hnh5Ve498EHAvp0PfPFgtO65uzsDAVYUxBioKkbAGYz6WA9u7jkM5//Aroqef7VV3nupZckBkgFVO97zu/f5w9+53cx0TNbzKnnNcW8YVZZvv/9HzA/OORLv/IrvPnZz1JUtYxVYHN9zTe+9icYl2QSY6R3YsIUY2SxnLHarlnGIxQKW4p/BiGynC+wRhOjx9cVIYLzgYPlkrKquLy8QmuFsYa277h+dMZ/+L//P3Lr9m3+3r/xb/Cpz3yGW7duJ6AMUAofQSmN64XEoSfGiX81x3S1vfkZce/3MY6vl7VCD2uUhCNjWznIYFE6jsVgSMX1TCJhkLnz3vP1r3+d3/vt/5aHDx/yv/7f/G+5+/zztOs1Zw/u8Z/8n/9DdOg5OpxTGmnRj9udxN5dx7yu6boukeGg7VpBQnXaf6MU/Jq6Agyd74lRYV3P+uqKpqqhMejCSt5FYLu5Zr44Ai9R0RCapTj+WZm3kLfXXNyXn90kNjytcOeDJ3Rbun47EFNMWVPUM0xRi/yWMWi9YHFnxvz4LourM1YP77G9PGO3uiL6rUgUFPWAPbne4fqe7WrFNoJLsp5RFvdRSxfIerbWGIwV47Gh6DjEt1Jq6Xs/6RqSQp4piiRvGqntnNOyout6tpsNu80G55IPgcp9ucmDpiiZL5dCbLQWCgGGb53exmjN1dk5u23q8t7uCF7y0NX1Ne1ux+nzd6lnM2xZgzL4KF3HUxPrafFfKYW2hrIq2Jw/HsDO4KGPkQJDNHo/x0h7my4KiqJiqxSd88yMAW0FlAaao5qIsLld7wSvSPhSUZUclTX9zrPrO+68/IZIRzAIRci4SfdmrzgUIqHf4doNMUTadoU1oLw8g+AF4FeQBNSkS3NzdUFpNaaZM1scYXvHrKmIrkNpyUtsITKMAEYBSRKuLFo2m0u2l+f4aPjEq29OzncUertZtP9nOX5ycPhpoMmNykxEgFnvpL3RFpZbp6esL1dcPL7gYLEcXO9diKggLByrs55WYgipAq28VMdKj3NF0qNNwKITNpv3qeqSHBfruhyAR+dFvxZEz6WqKojynmUhoIq50QIriVHEx0BRaMqykIqQVkNyGhN4ZbQMphH0jclVa7w/wtTYbxnLrtH5QYoJjbTZ95PWNT3ZPK1RRBNxXc+qFwMpuS4ZHCEGdBhZEftjIweYYQzaJ8/xJuA2ZRxkOFSh0bpIunRy/fn8p8DT9D0JslEaJQuaSrrNRttUPe2Jk8Gdn7+MqYnRBxKM66DYrLcQobBiliGJj2PX9Xg0xbzheN5wcHiIAQ7mDYfHB1RVyWzWUBaK7CQaAbQR5rJzY+JrLXUzY7VacXn+mNsvvEQMXto42Afbn4XjJnB0M1md/mwE4ia/CxFlDIeHx1ycPeb0tODswX3e/eEPqEvRBNdKYW2Jc14MTIzFFkXqDkjFC6WSsZUMvyQfRNbvDN6jVBgSx+lakxOkfTYMSBIn0HD+O0UCcpD2c2sMXdcNWrnGTpO6J6Vebt4zPQBUopOMUgOYDRlwDcmoTaqC2+2W6+vr4W9yS2FdNwkYrimbmvrwgFc/8xk++anPoIwl9J6z+/d473vf43BxwHp1jQsip3Nxccl6taKua5qZyKJUlUjxGKNF9D/pj06T1szyGzbkfP5KEYOXIl5T46Pos0oRKEDsqeuakFzrM+tf6zFBt0rWyEgQ85TCUtQl2ppBQghUYmhOgTcx24uxo3cd1WxG7wN3XniBy4tz2vUGTiLaToqQP2Zs3wxebxY7nqXgNh8qRsQJ8qf4WzWRXUGhihpTpefqHf1uRVXPIEbKomR1+ZiLB/dod0uqqqFuFkQ9YZfqVIKJTFbt/DlZ7yyQWWlamzHdmiR8T6w3ESmexLgHrMQMmsaIjiLjpJLEg4BevbTJJx38vTbynLgpMegytqQoS8qiHArYw3jIa1TMGqrJGGLQOZuwAfP5gegqK3AOtAe8BIXKiE64lJAm4HAGz6JIHisSe1FNZZn2n19e3/ba158CvORj2vo+7HEZLMrr3eR5PK1QyPD3omdqUnKYNU4zoG+MwfUd3vXgko6aExaLD1728Rg5+/Cc2WyG63a4viVGudaiWTBb3kJh0VGJSzr7scvTCzrxmdqE9/eWVLQYQId9eHh8TiNwHKNndXafi/sfDh063vWJMQSu93St+DMEF9htd9KG2jn6lDhabehaKfAFxBg6n5tzjqIosGWBNYbjwyVaJcPgFEsbYygKKUIKuBvT+h0HFlP2vxBQN41nFyefk6UpZB25WbSMUeJu7wO2KPC9G+5Xvh8oldhSnt6NXgLZrBLFoIOuhzEuZyVFGAHyYgK0C3Fgo91tE7Are5vSqYVV67F4PTliJLXwQpZ0ID27gWSRwWgtHUree5z3GPY7m4DhnuR7nffKzLTOgLvSeR2Qz7VG/Fum0lIujPcsJwPee7Iy+M09M7IviRFj6haK0qKud5LLNZXlW3/yNb70y7+KUpoXXnoFUzS8/db3ufPiSyxu3R413McnNnxOXdfPFDicj6evk6moFhXCcJPCRFGWfOpTn+HrX/saW7Xh8z//Jf7493+fqilptzvOr8+pqwqlRrJNJjD0Xc/jXYsqa77/o/d4eH7Gv/fFXxwC5eg9vu/5rd/4r/jmH/4hjS05OlxSpT3t0eU1d194ni995Uu8/InXsGXq2jPCIFUofvTDH/Dhhx9wvFyiQsSoNKdjwBPpu45lM2NW1sxmc+qDJSYq7n/wIZvNhmpWCtDihbi02+0oykrM7uwJru+p6kpIWgrRK253/N//o/8LdV3zN//Ov8hXvvprNIu5jGUlRlgqx6R/9U9z7+v4xO+mWEbcf72avEblBGb6c4a99mlHzGNfwdXVJX/yh3/AF7/4c7z5xps0hebb3/hj/slv/zbr6yuOFjPKgzmxT8ayIVJPQCql1DDnXe/F3FDDer1OsZB4BvUrR1FYChepqxpfwsX1iovVmno+5+DkCGyBLhuiLonK4uNYgEclHfKfJgD97/HIsOdfdkwpwMSA63e01+f4tiNEj+udPG5rKJoDmoNbNMsTdCGgbSxq5ifP0xyesL16zNX999hcPYZ+J5hCKpoXRUkRI33fCqAXRpxFFmWVSBcRpW3qDglJYoGhW8CmrlG0dN9oA3VRJKJBLvJFosuduZqyEl1r1ye/qCAyYyF4YvDiQ6Jk7RItYymWVocHHN46IXSO1cVjXNfRtWJObpBO0N1ux26z4fT0lOVywWI5w5YVxtYSGOeiphq7eWCCOwXRBtbJH8FoMa9eLI9x2zUERwgiO2vLguAhZhmNqqLQhu1uy+Z6BUoTlObgznM0R8eYskBrC9EgSgYplrYWbUpc37E4PJIYfruSvVKJz00uNKMFl4tBBEwJDre7pNtcYZQWfMxHnOvwfY93HpL0rVegjKZ9/ADVbWl9SXRbNo/fB2Mwd17g1vMv4fsWfC8ksKFrCImTrcHMC2aFxI49gaIqiUbwvyAv/Oc2b/LxE4PDkZS0/ZiTyQ+gKEua+Yyjk2M2qxXf/+738V4YcA8fnnNwdMB8UQ+O5sIajJSltIQaK5NEpQp7WYrmoC2EERG8BFPO2YH56n0p1dXU4i4PNoGUKeDL1f0hgIsBlSaq855muaBtZdMzhRaWYHL6FYAXSejYT3ghipRCTIG9yiDVBGjK7KOcnMa8BYlSSZZ5CCG13JG1xUKq5BbpXCIJRx0m3PD+TINVSbyHpHvSwHqTuTGtPOQWzxizPIWhKKu0yLRDcDttG87vN7JEpK12aO1H0uWisFR1Sdc7bG+SPmkh1xT9wHLpuh4U9K6FKBVppQRgXoVVkqQQjWmfxospC07v3GZWVxwuD1gsapp5lRiWGo20IyilUcYQdjsiiqKo8E4YZi50zGZzzs7PeHjvPq+8/jrV8oBJCeCZCnBvnutNBvs++28fWIwRfPSoouRv/K1f5+TWKe/+4Pu89/3v47ctJ8dHPLh/D99JC0yWfek7J2zUZHIirVWyYecEKG+QxDhKoqREhciwmUz/nf4XvLTIxiBzJLNm5LqkSmnz3J+2uHJjLZvMg5uyMgOLYSjP5Y/Yb9PImonZVXa72dD3PU3Sx66qivl8TtPI11VV4Yzml371y5y+8CIKuDp7xA++/W3OHtyD3uF70Qzeth27XScSO33HQS3vU9cVZVFQlpaxxPkkcDQFCW+OCZWYGtW8SfqjSbJCW66vrokRrJV20e12i7UCtCstrshNU7NIxpC2LKhndZISMUm2RZJF7+Ogj+z6nlCWdG1HVUYuLi8oZzMODo9o5jPO7t8j9E4cXgeW90drFf44duqPe93P8pGBvh937jcT2I/ao01ZEnyNLh3Kictw2agE5gDXl3SbHe16iz+MVPNFKhCM7WBZOiKPNQE54gSYlD1V5psULT4KxM/zP8/P/SKtzFGvRANVgkkGgFSHgOva9HP1xN/n/ckWBbYUZ/iY17sYB8OtGIQJH7wf2nZNDg6RDhljraxf0/UiyDUXdYNXNeVsAaGnvb4Qo7XJXrj37BIINS3GTpnOubiltR6WndzxM7KZzd777Y+X/e9vjpHpa6br3TjGYjIVS4BwyIC/3CcB7eT1fbvFtVuJn5wjxn7S5SEtqrvNmtBu0zULg7uq5xTLQ6K2onM4KWpNz2W6do3X8lcTEP/zPj52zI/ffczfZ+DTc/X4TPw00jjIiZpSmuAC2/Wa3W5HtxUJNu88PkJhjJjARjFkdM6x3XWpw26815k1muXTwCfiRTbNUtRV+cT8Ail+Zp1xAJWKjID4zigzrB3CwJ0A4E+MT1BW07Xt8NqppEx+Xe4ymJ5H7xxF+ps9xvve+8dhLkkMIrI0ejL2clzuJ3IUTN4vg7/5/azVk/k5lZVg1HhM98NaC36MaW4Wo6U1OTFRB3x3/16N92wqtzLGa9NnOo1mMiN5fw3YT9inn6WUkoKcEgJLXRX84E+/xYP3P+Duiy9Szxp+8Vd/hQ/f+gtWFxeyftqcZ0zWFfaPZ2UHVion6TfmL0AGN1TM9fjkbWFZHN3ic1/8eb759a9z78N7fOXX/0X+4Hd/lyJE6qZht9thSwF0/K6l9x5QeKB1gdt3T9H1jE9+7vPYokIpQ3A9Wmu+/c1v8q2v/QFH8xnz2ZzSVlxeryjqGX/jb/+LvPHpT4OyaGu5Wl0zaxrOzh5xeHDAdr1mfXXJq6+9Bt5RKAUu0O12WKtZrdeSb7Udh0dHfPDhB2zf+RFVXXF4eEStG2KIGKXxIbLdbimKgqIscb2jMIa1c6gI8yQHuKgrjNX0XUfd1Hz9v/td/uif/C6vfvJ1bt25w6PHj/nyV77KS6+8SlGWf7Ug5B6Ym4vWk3zgKZ+eCyfjHyRceCiyDlLeJAn24X3zoSZ/POyNBP5n/9N/l+h6vv/9t/hH//nvi/xIM6Oai/SA6zps00AC4k1R0HUdR0dHomcdsmyW7OO7dptydtl7y6qk7Vrarkebim3X0/oVWltmB0uOj4753C/+EofHx2BKqnoua16RPGCSY6CC4c48K/GzRmWYZNznYHwuk7U0F9tiDLi+p+929OsrQr+jb3spAhLRRc12dh/dzDm8/TyzozsCqiuDKmbMTmrqxTG763N2V+e47Zp+u2W3XuFcJ++hFCZ9tveevusxSqNVkukDAgZtNSEIQG2sQQNlKXmjl8BYdN6TvKgpbFqvA13X0jhH30ksFhOpyhayn4/EvxJbVSyWh2BMApsNprAsDpcsD45YPT5ne3VBu13LHhe8mFsGnwzXO05unzJbNCwXBxT1IQfPvcx2vZJ9acCQBNwcnk8ifygUNiq8UvhE+lAq0l2eS5eRViLH0jtiaFG2QFmNirA4OWK3WUEMrLsOHQLLxZx2u6LbXFNWFbaqKZoG0KAMAYXuC4rCoYm0u5bQbiTXDIGoxAx+iDVMgYqe6Lpxc1WR4N2Qn+ROgBhENi2mTvk+dbbT9/iuo/MtKJjNK1SzxBSWzfmHGG2xZSXGoxOW9SARqSMUNbPFAZcX57z/1jd57vXPo4v5sKY9Lb78Z5mrP72sxMcmogK82eSKHhpPPd9xdPuY+t6Ce2dnvP7664RNYL3JrogabTyzUjYSYwwGCc7UkLCNreYqtaZ5F/FeJTaDVAdEqsCNoJL3wmCNAg5HRnDYh4APKegc3lvYdHVdS6CcogNpnQ5jEhszxjs+HBf80P6VK0Ji3JECybTM5pbIODCV4lAlGt9PBp4BcXO3ZhLM5UrG5K6rkc1orUkBbJLqyI7J3qeAZx/UzklqZgYWRTGh/6dnHDx9vxvACqUYKlXTc7AJ0E9/hZjY5YReKkBoRUMt4F4MtFqnFvaK7WZH3/dJnF0YDEMA7PSw8eXAuqxKKlvQzBrqWU09q2nmcw4WCxFVLzW60EN1zAVNkaouZVXjek9RAAFav0U0LWWhdUkzyPeO6J/Ur3yWjil4n7+fJoe56PG0RMT5yAuvvcrJ6R1ChKPjY95uW/p2x2azFZ3oKIFUWZaEEIVZEKK0uqSijw8C5mb9wqDTuI9hMIgyuSLmc2eAjCXXiyO7925gv8QgAHGYXIe4QPdpPAlw6noxNyyKInUATI1qhGHkeXIxvQlUTFlBNxM1YcKaQYcYZH0orBgp1k3NfD5jMZ+jtKbtO47vvsTJ6R2+9+3vcPHwPhcP7hOdbFrbbUvfS5K93bZst7uB+b88PKCsSooExkrRhCee283rGFruY5zESJqoZC7Vs2YIDraXKwEGrJHiktEsFnNhOilhG1VVOci+FGXB4mDJweEBRVFIxVXJfPcurYmMbb75HgYvetYnd+/w6muv89Z3vkulIPQ9e2H7gM9nWZKnz8PpunZzvj6bc/ejQJSnA08f9xphJRhsNQPvsd6D0nilsVoxM5pAZHN5SedaitIOAE1RFPgwgtUCyE6BBIb1Q77PWvZqwoAckIs90DPPRxj3owwu5kKz73swokGmlKJtW2zwYm7mfSr2mBG0UWDLMulyF+OcVWpPQqnvOly3S50wDJ/Z9ek8oiR0RdpvdCE6b3ntAGFSHr/0CtEUdJtrHt/7ABNDMrTYfybpiyfGZ96TMyA8rM9qZAFLgTVvvsObPvHeN3619/uPWuP2v46oJB2DUslguEv3zeG7Hq3FeEdlWyatwRpCL+uDNqJp3PUejJXWzKrElhW2mmOLBlM3VAcHYBS969C62ItN8jlN5/TTrvNn9fjLrDfjtTHhEE82kCjyTbvtBuc82/WabrcjJH+GHKftdjuCD5TWUpUlMZKIChmIJCVfyZgyFW9c73BJszCzkY0WFo9WiiIZls5mDVVdDXM/H0VRpDE7sl4yaQEYWP05djVGDxqjpGvN64ZPsb42WphwKmsyjsWIKZBpEtidC0xKK/q+G/ZhrQ1VVQ4kvxgjwUU67zg6OUET6bu0z9yYK0MCvVcszgXs/TgpM5Wn8VMIQfSgw1PGQV6bldob73vFD2Ja62TfJMVXIquj984BGMF4lX+eik55cDHG4PsxYPq8nK8geYnkWzF11Mn/Wa2hXfNb//C/5t/+9/590Jp/4Stf4T/98z9lc3WN61qRo2C/Ay2P63x1NwvwP7uHYjor9381MrxAcsaoFLqsCK7n6Pnn+YxSfOub32T26CFf+bt/l91mxR/9/j+lrgp8yjFjtaPvXSJCwUu3T/n5X/pl5gdHya8hsr665s+++XWC83zrW9/kYDHncDnHucDVesUX/9pf44t//Zepmvl4bgpOZzXESMCz2204e/iAx4/PqZoG37dYbSiNpZo1dF3LzBja7Y6qqmnbjqqZoYsSWwibVHzSIm3bUlcVi8VcCitKUdoK1/cQaulCsAbXtTSzGu8dtrCYKJrYvQ88fP8dLs8fcbXe8L/7736fT33us/z9f/Mf8OInPoGK+1Izf2VxW4qFp3M/xlHyJT/fQWs9hGQoOwSjOO8wQ4ecHiLW4X0mYCAh4PqOb33j6/y3v/mPuHvrhOg62u2Gw8UCT8B1G1QQqUSjLcoAxuC7ToD4oph4LiWPoMoO3dhN09C2LdfX1+ityL6Bwm82LA+OicoyPz7mzc98hs9+4QvMDg5wPqBNTe9JUjhxyPHFMwhU/Ct6Bn9VR8wg/njkuDD9+oaUA8Oc9n3Prl1z9t679LsObQtQUM9m+HaGuS7YXTyiPjzl8M7LzE5O0clMTBcz5rdqmuM79LsN7fUl9eoK327w/RbveoJ3Q0XBJcmzLAkaI2BsYtJGlC0xhcSxprDoqkxxbUk0hXTFJfkJlWTfiIHg2+GaXbej224GOUDfjRhPOV9SzedoW9C1rTB1ux2PHz7g/rs/xG02BNen2EAM3fu+53p1SVEU3H7uDsWsYjavqQ8OWD7/Govbz6P1h+ycSCCOeJAG9rtYYwxE70U+yudxnS3pDNFHTJ5eMaJCQAdPpTS76Dl++UWa7S1871DB8+j996jLklnTQNfRbzb060LIJKakx6Q1TWOUkDB3q0uCFzKWNZbBkFFJgaSwRjoWvR/GieQncSBHgpJzjdD1jogX7DFGdlshRpjkceCdowAsDqMM1ibSqlbSZaSSCXsUiSmJw0tMvWC5dFycn7O9OGdxe8FUVmIY40/BLX7S46cGh592IpPTg6hSoqYwhaJqanRZ89W/+3c5PDqhmTVcX13x1ne+zfX5OartpVLW99isc8ZkUU0O2NIaq1AOPBFMFBUHlc2wNMbIv1NGToyRmAI4kyraIUb5SuV2dvksayS4qesanVRDpiyEqq7ZrNdJY2q8BwO7QQko4lNQlYXIlTZj65tGwF2lCEpaBgKyURmlUsCvpP0sOGxqM4ipdZ0Q8S6Bw2pk15i0kDvnUGpkFKuUcJtkqjU108jPdGoGk382so0hRE9wvdD+ZfsQwz0FasI2HXXt8rOTf/QEVLBagl6znDGrK9q2Y7tr6Z2jaarEWJFkve87AWwTOyUn0BmIttZSFAV1UzFb1lR1NQCBRmmcMjgUuqgoypJaQeg7gutENyY6aaFU0lbsvMc7T1GWBC3jzMfAdG98FkGmmwwVyEy/bEQ4BSpSGwsBYzV1PUdbQ9QRhaVOGmMQRTspMeiM0UkLPKDNXJ5xKryEtLDKGDB0vUuFlASweLnPp3ePub66ot22Ms6TBp4wyTtccCkZ09LykwZY10lbbVXVUsjxa5pGvm7qktlsRt0EAf4Nw3VDSoCeAp7kOT1lNWZW0QQbkiJO1NRVTdPMsHZFUZRENiitaKqKqiolIY6RoirYKs+Ln3yVd995m+//6TfQweO6DgLjJt73XF9f07UtFxfnuL7n6PiA2WzObDbj4PCAuqmTacy+Ec70uKmNOF23VGIqEZNeenLRtkpT1CXr9QbnHV3bT1jcMWnCG+qmYdY0lFVFPWsoymKin6oGMNol592Yvs4gc12UXJ0/5hd++VdY1DPe+uafcvfWkRT40hqt5DGR0uQBF/rLMfM++nXPxvHk+X7c9d38PoMuGeQFhbYlumywvicGBzHgnATB5WzGbrfh8PiY2eGJBEoxom05PHfftcizSIWQGImkok+eGEqn1kSdugLGgCW4bmiPz2BGwkoGsKKwFmVVys0VxhZ4p9BWhoJOhqTEiEE6E5zSVLM5wTl0ao/LZlokkMX1HaF3YlLRCStEmyTLosRfAFsO9833PW4nWn+yp8gpZcMWpRQO2F6eUdYLymYuumd+M0hXDOwU9gEgNQAMNzqQEkgd4wiyD2M+fWZgvGHTtSuXffbAmaeBq/ITIGvBB2JwKXEJqdCdYifX41yX3j+ilUHX8xSo99iiFuf1EAg+Dmumj54SkT3wPlLOG2xZY4o51eyAar4gEui3oqFLKeu16IzvM5r3xjfxKbPi2TyGYkpmWg4biwhuhQhd29K2PZ2LtOsd15cXYxyEom4qqkq67XAit9C7gCHgnIwnrRU6ikZdCE7mpjaUVuO9FWIFU9CzwCqZF3VdcLCciyGbn4D1JM1brVMcG4Zr0WQAVw+SRCMYOQFQg0drO8RzAkZKHOnjGJvm987gaEhsrujTfEHiDKMUrutwDmwpxj/FoMsre9DaOV658zwfvvUdZnWVrmW/CJdjYc10/KlxHqb1QYpPWY+YtEamRD9hSDfN8NIGTL6Jeb5MPz+iBuaySm3/AtYXgxTF3rxOM8I5P8T+SqmkXTgCw/nrfOQiX5b2EkKaSEvIuElmtinmKgrLd7/xJzw+/3sc377Dya1TXnn9U2K4264oZzOme9Y4vvfH/LN9jPsJMSYwLcWxURGNJUQ4fu45vlhXfPtbf8bb7/yIr3zlq/za3/2XaLuWq+tLIaf4wGq14tHZOV/44hepmxnWlMSo+Maf/Anf+853eP+dd9hu1hwfHXJycswGx64PFGXNv/R3f52XX/0kmGIwFh1ysnTTm9kMFSOvvfEmr37ydS7OH/HgwQPef/dd1lfXGKVplgfMtSL0nt12C8Dci9dP27W44KVgqAJ1WQ9myH3XDow5WxbEIP4exmgxZdUpj7fSGepDoCkrIXw5z62DQxSKD999l//iP/9/87/4X/4HFGU1xCt/dfFaTAiuB5XEfRKY6Ho3iZfSOpc6clWMBOfxXc/FxQW//du/zVd+7avcunMHbYpUxEE6kr1DaUPvPO/+8IdcX13wox98n3d/9DaHTU2/WVMYTWUM2+tramuoCkvfO0pbsmt7fCdFZh8CIQHExphk1G5pmoarq+v82JN0i+Ly8hLfR0IUwKlzHUdFwRd+8Rd5/TOf5uT2HUxZ0vYeZUzqckqynqROHpW9VdRQoHpmjhxvEoeYKSaMRU9iizy+AgKEhxgJztFtt2y3W1775Jvossb7jsdnjzh79ICD+YKicmzaDre+ZnN2zPzWXerDY0zZEJEYspgXlLMD1KlgJ947+q4lBEeMbijUKWNRWhR3hTwlc0Ubg5pIDKV+uWTYpiY1zVySUARCep9FxliJc2iOYpJUUkP1IoRA9D3tdkV/ecH2+pLt1SX9eoXb7ujaa+m+lw0F33W0ux0xRm7duS1SGWVFvZgxawq2PnBrsZTupO025QU3MYdxEIU4Aps5ls77Y1Qj+cQ7T2GK9FiFGKm1wgJx2xEurmnXGyIiG+W9o/UeV0nRzbOQ2Mh4lqd3mR+eQIhsLh9x/fiMuNuiSLrQCpRJcz0VfkNZiTxFpqKTpCZVImlGkfAIThQInOtwvh99k4IjRCl6G1tQ1A1WRUz0oCuUtgNJVmV8bVI8zhKuGIupF1TNjs3lI5pbzxHQe7jdR0+Hn2zy/kTg8BRcuHnsJ+aZAWtQpsAWBUU94xOvf4qD41Np5QZO6hl/7eSU1eNz/vyP/5C27bCFoSoLiCFrck+SHINSUQSulQGjUCrpk9mxXUO0WkaAJGTwSguFnZBdGpFJ52VzyIFuURTYwqAIKTBSxCTtoI0atEvlvRPABkOyNmj1GANBY4sKYy1dt8UYCS6zzIKcot67t5L4mgHQ0V7uvYiOC2Dbe0+vbNIo7TAKrIqICZDeCxpBWKFKCbNCTQP0VB6MRFSKInPcOp5TTM8TyUxRg2GgRo2gLyPjSRhao6bkNDiMqaKnUKklvqRuSpZhliQJxATDp9dEjwDm1qCMqKaJgLfBWC1mddYmfS2VAElLVBoXFOXigKP5ghg91xcXRNeK9lqUhEURidHRddJqmVnCzvWAQiVjQh2SvLjST2eD/Awf+7WlcaGQ5MMMz5u0eaqY9TsD0Tt2mw31vCFvRbYopGXDWjGtMaLb3PY9DWALCY47lxhlzmOVIvTJfNDl+yvMYK3MABbe/+ADgg/0rie4kT2cpUMA2rYjRkmEXAKYnetZrdbM6gZS5Xuz2VAWBZvC0rYd9VZkEKpZRVHYVCxRyUX7SXBxYLdO2EqSqIFSMo+E2y8Aa1WVHBwsWa3WrNcbmlnNdr1hW9VoxNCr8wGN5/XPfYbjw0N+9zd/C7fZEnyfmBfjfF+v16zX2eBuw8HBktu3Tzk4XHJ8csRiOacoRlmXaRI6/Xd6TMGqKeid2byZpVXPZpR1zWyxIAQ/6L3nc8vskKqqsYUVcy+VEhI1djEEHySRD1mTeTcYA7q+x7mey0cPuXP3Ob71R19n0czFsC51imTGwt4YngDgTwNGp8/v/x+Pj2OH5n3HFCXKlQTf4X2PKSyuc6AUx6d3qWbz1FIlezpKTcxVMpAydnLkrEi0Ovc7dG5+fkjtabnIkoshSmuMtsIgCAHV99iqGtrRRf9Y0hVbFEQlmsS+c2itmc8X8hk2mTvo7DYdCdGLiWnvcF0/AMi2KFFFgTZ2KKDm7hcfPHrX0nXtMC/IwTcKY4rkXgzd1WO6+ZLq4BbLk1OutpdjEVapJwo0+sZ6s1fYUfkZitlMlvFUSvYj78OkrX3yjPee+0dJMgyfStLoIDhHdC2ua/Gul2BXjdJSIHryudCNrZndep52sya26xRXZIZ41iYGSw5wDc5FWu+YL0+omiW2qInBCWs7RmxRoJUE1sYK63gYLzcKzgJxPrvH00kVktyNe/F4uF4KKV3b0u52NE0jjyFpTtqJhr7TlsIGKgUM+t8xmUd5utZhizLFyX4Cuu6fl1YKa6SwupjXlIVFRM5GiTKTivOZrTT+/bhn5nE4jUnzPjNlv0332cygmsb0+bVi6JRnoUIVwh72IRCddCuFEJLhpKVZLDBW0e1aQoisui2f+flf4v13foTO/iY6r2M35iSgTKaTQIz+idhg755N5B3yE83g9vTInREZ+JVpsr9n3yxS53MKk7ksBtlhD/jNDO2pD8r0859YBabFpfS/GdTv+2m3nLxnWZZcri753d/8h/y9f/DvgtL8+r/yr/FHv/ubdF3HfPI+H3U8K7Hzx+W8aQccVqKY1+uBMSBQzvHxLf76L/8yP/ze9/inv//7HB4sef3NNzi9c5eqqkELBemV3lFWM7k33rO6eMw//d3fYdE0NNbypS9/mXa35d6HH9J5zetvfIq//uUvM18sQNv0+ZMtQE0l1BRRGfoQKWzB6fMvcPr8C7zx2c9y9uABq6trzh484PLiMT2eWIiucN00WOdgs8Zt1pyenqYAPozdtjMxp7bWsNtt6TrRHA6pxpUlArOnixR3EvnJGqLW3Do95Xq3Zecc3/6Lv+Dnf/FL6Vr++Y6TkeAT03MTvVOCp+87ttsWUxQsF0v6vhOJGgUk8gsKgnP8xTf/lN/5zd/ig/feY7fbcX7vHs+/+AK/9jf/NovDY0xppHvRGIiBgkihFX/0e79NXZYc1CWltVgthSwfIhpF3TQopfFxQ+9FWxSl6HuHMhqXsIdssJlj+MVigdWa7WbNg/v3aeZziqqi7XuUMbz55qf45Btv8OanPs3s+IjOO3Rhafse5yOVKQYIWGm5LyrdMClaJpOYZ2nXTdgGpPg170Nxf82Lk/9VZCaoPI+qrCmbBqcEl7pz19JuD3j04AGb1rFcRHy3YXt9zub6nHp5zOzoFvXiCFsvUUUh72oKtClQKlLMl/JZuXI4FPmn5z49s/F1Kl3LWBAVHXLJo6V7LgQvBRsnHXnbzYbtZkVVWuq6wnUtYbej6zv6tsO1W9rtmugdzgdcCPS7TnCi0GG0mI33XYctLAeHS/HhKgtsUVFVDZQ1RVOzuVpx8cE7YpLodpgw7pcx5rhwlHkdSJUkzCvIXk4UA9R8D8Rsz2FL2ad9TNrBWqHqkqPTY7Z1yXazSUBqxPuO0Ea6TkiWdz7xGt453OqKh/fvCfYTelToEzkzS7cF/E5i/cJajNUE16GMUBK0GU3uvR9JgyE4gvO4tksyHoLxWWOwVYkPEVuU2KqmnM2S1F0lOZYRnWVS3pTxyQxQa61Fl1kLSaaqZzx+fMZydYEuGkyz+MjtdszVfrK19CcCh5/W3vG0BH0aBMqmVLA4nFOUUqEnIe3druW9H77NX3zrmxQGjg7mEqSicV6Di0lSISU4WiZCiI7AaGKRNbpuBnZPBmWSoLmQE12GdpHMWpCqnKaoChHwnwRhxgj4KWxjMwSsY0KnhoQqBjGKIA0k5/pBC2gaCCtlhkRqSBBTBU8RhwQyg8k50TU6slweUDYzHn74IWVT0W3XFBOQaD/glmAvZFZ8ulW5TUYMBENqAZZtIgfw8rmjNEYIIRno5TeRanCYJKkhBnRUewH08KEJKM7az0qNUgJVZYFK3iMBzxphfimtpKKjhE2llVRiZLJakiilVGuiPO/ZfEbf77h8eI1RYPLVKalai/NvSLrVYZDr8Ml1siwKqqpKshxyrdNA/lk5bga4eXwUE1OazAjNz8uklrYQ4Ozhh5zq5yiqWoAlo1kcLLkoC+aLBVVd07uW3W5HdfcuxqpU2NH0XsaGD708N+1EdsL1qUKtCb5LbN+Rrdb3/XC+AszIObZdP5jktG1H2wvD1CVNtm53lcaUokxmM2VRsF4LuNq2PQsXmC8aTF0OQfT0PjxxKIaW2ZycCa9LoYzFB0kcjdEcHR0mrWzF4dEh7733AVfbDb3SVDHw/Csv80u/+isoBb/3G7/J1aMzdBQAfLPZSCyaWNJd13J5+RiAo6MDnn/+eQ6PlhwfH3B0dEBZ2mFduMkOHJjBU1DlKYnnVPdUJRAra7KqqDFlMRQOpn+bsSidDRLSxilTT+G9aM/l+dS1HV3b4X3E+0i36/ARLjdbXnzzU1xdXPCHv/O7vPbKi5R1RVlXY3cG+VrGhDufy00AbG//ufGzZ/34uI3+o8auUmke3Ph7bQuiLcUMRmuCyvqZFbasUYPhAYkJrlPhPIopqQ9EcpdLOr/EDEgw1xNjcApG5TUoz/NcIffRDYCnUoqu3QHQNE0K3O2wL9WzObvNFlsVwuxJCamAZnpvbPdJh9X1srZrU6DLAl0UUlwsCoIymOzUTDLADBKQ933S0vXgcaJxbOPA5PExsn58n6KZ0yyO2C1v4bcX5Iv5qGczfZbDeObG+J6YcgWfuy1y+6u5scfuj42PLJDEQOhbunYrshGuT68fO52KQqX3t5BaH5WxUC+xzQFKW3qk1VBrC2hCYhzKnA3JALSiNDXWO2YHh0AqQvUi46QKkStwnej/57hnr9icT/sZm9NPB+ZvvEZeKN/svVS+abcbfN/T7nY471guDweprtEkVFNVFYv5HN/3GAWaTJYYjZz70tF2AtaEYAdWr3OeqFKXgEpGN2UhJr42gfRxIr2iZV3ZW3dyfJRi1wE0JhVD1Dhup5IQSu0XYuVfv/eshZAgReSohFWFSj4dRcHx4SG7ZFRdliXr1TXddstuu0OrAEYzOz7i+TffoO86dhfnHM7nH1M84YmYddpdtTcO07QLyRckJMmaXCAjlU3Gr9XgubAv8fTkGp7jd6Wm55HB8qk81nR/l7EzJuRpLZkMOKWeBD9jlI7HHBMP7zM5P4iUWnHv7R+y22xoFkua5ZJbz79A23XDGrz/vjlmSiP6GZm7f7ljhIn3IPiQCmZRU9mK1197nVvLI3709g/5x//wN6DQvPH6G5zefY7Tu3fRGNqNgDY//N53+fCdd7h96wTlA+Wh4uLhQx4/fszhyQm/8Pkv8ObnPyfGRJByn/yk0nga7r+i63s22y2HB4cYW5DZoWXd8PzLrxC9541PfYrrx495/PiCrndcXV7y6NFDFmXJ4fEJ3/3OX9D2PTqIKVaXjNIKa5KWeU/btmhrRB4h5WGz+QKltDDadYohAuy2G4zWmFJkcF5+7RWef/llFqd39+ZBHjdPO54odPyY3w+vGuLZyOb6ire//z0+ePdd2t7x7vsfcPv2bZrUDacQ6ZyXXn6Zet7wg+++xT/5rd+mRHHYNJQR3nnru3z3W9/iG3/wR/za3/l1quWcO3fvcHLrFrvtjm//6bf4wbe/g/GOWld0MWKJROdRMVIaiy0tvY+gA8pYlgsxEbu6vuLW7VOur64wk3g33xvBLUqCd3TtDu297BPOc/vOHZQyPHj4kMvra37v9/8JuhQN1r/39/8+L770CrTS4UwUcpkU+Ty5tT3f1ByT/KQMxP++D4lD95nCA241QhiyKkcoyhpTNBRllXACJx1sURi+1WzO6QvPs75ecXV5zmIxo9CR7uoc41uu1o9Y1zN0taBaHlE1C4pmjrE1CjMMypjNSocC+uSkJ4SY7PkQfE/oO/p2i+87dtu16NjuNkK0CElb2ElXnAuKqCPrzYqyXrA+e8yyKnGhJSJSjkRQqYojxWMnWs2pmOO8eBzM6oajk2NsaYdOmaIWLXRbFJhaxupyMcfEDhOliByiTwXVvAfFgZwZowDwUSl6MgN3X75xyG11xAeH8kkiFTvEvmLCXlAv5ujCJlynk45TBbs+UKrIB9/+cwCqykjslK7beYcKwhAWw95sAQhOdZRVjdaeovDC4HeGnp6qLKEP9F5iLxc6WVedT8STpN9sNB6NKQy2qqhnC2xVI8Z3xcgW1kbii1wEGHfL8T6kpNsUFh0cZ+++zeFzL1E385SPP33Fe1re/+OOfybN4R/3ewE6LUonY6Xtjq7b8ejhQ779Z39Ot9uhOocyMDs+RKvUwqA0y6Nb2KoEJYLR3WZLt17h+p7oczA3sg72kt6UdA7ngUYbiCq3sO07JOfkOWunwVRmIiagyQyflY1o8sKcE16AaXu6BMAalCfnz94rUqPasGA9jYkAOWi7CX5olAqUheH64pzLs0dS3UytdvmxTNvOMgtDBo+YCWSQ2icHR53bSlBDa3C+DmFTmTTZxiSfFNQP7I44Ak3aJMZ1SBUeY4hEtMnMmMmAT/GymlSKBCggGRXqwZxHJQBY6wTzPsGSJgH/CmKg21xLVZtICPJ3MWawXQ/Pou+zmWFgt2uJ3g86ujolTAHEmZIhF3hmDvVjznaPPTLMbTX8b/A9hTWyaUmmx2yxGJ6bShtd23d0rif2npmSoLSZNfTOYRE2fttKVS4ET9vusMnlXCmdWONhGOtdJ2wfouglOufxIetQK3a7jk0rbIWua9HaYEDceQsrIG2EWdPQdT3Oedq2o+u6NEdmVFU5tk4+JfiSf/fN6gTIFkH6vnfUiwP69RVKy2ffunWCMYZt2/LcK69QVA3NYkmMkflywdf/4Gs8fPcD2nY9GmGGyGazGQyHJOFX1HXJ8ckJJ8fHzBdzTk6OOTo+wJZmKFjlY29D/RgA5Wng6vRf0VpNHJjh5ylRVem+xBsjS6lB+9k70YXGB7zzdG3Ldr3FOc9qtaZrO/qu5/ziEjVb8qtf/TX+8T/6b+iuL+h2t8RoKM19QiQRTdKcZ4899dTx/j+g5HPKmP5x++7066cBasM7RkkhlS1R1iZwXwqAVmmpZisFqdskHyamxRsjxcAJJkQqaOai63RghiE4HPFLP/lZTGOpKAsBJyfOzSR5g83aU89morFmrQSwPlDN5vhWzCJ0MlfM+0We110234ox+crK3q3LEtvMMM2C2fKQZnFAu9vRPn6EUhrtHbZoiV4A6RgCvo8QZX+DiFcix6KLCh0dl4/ucXL3ExycPMfFhyuiH4tcI0txP8Ga7vFadLLIgJI2cq9zApPn3zhnn4615OedQe1cICBK8Tb0IqvUtztUlMTdFhUkt2hrbQJ8k2SIKWTvtQbbCKhmi4LW9ey2O5qDI0xVoZRIciijxanbe8pmQVQlbreVGC4EARCNRRt51r7vid6hbYWKasLy+vix/rN83CRP3IxVhr1meLhjLBhykTsEtteX6OBRfct83mALk4oEAlwUKWErq0qkFGa1xHGuS8bNHtf1OGvoC40tAs4JAz0mGSPnHcnGB2ukMCBjQA3npiOiBwqUZblX0FXIvDeZVJD2D2vke1FUUgP4HGIcYktrZWxm87tp/JrHed8L+AQQlB72unw8enAfqwWEerzboYDZbCbdKd6hyxLdBdp336PfbjmcL8RTZChuPTknpz+N7Gv1Tp9xiNnPJP2b9nOl8h4rMUQ2Dxr+loBWDLrGOY/I9yD/bVpgn/js3LGh0iI6xjAjE1pYmmM+IX8Imek9zYVkDZK1RymDRtbUqmlwvcMYeWbaGuJmx8WDBzTzJSjFCy+/xtXFI1Ai8TNdk/b3rR8Xjf4MHdNAPz75Kwa6UAaIx93aaEMMSpjBwWGqGbeerzk4vc3Ljx5y/8P3uP/++/zwre9xfHLCbitF0BCEJDBKqWiaoyXz5QGf/MLP8fKrr9IcHkkLvAbI2taedrel3W7ZXl1ydnaWcp3I1eVV8t7x7DYbOuel4yYEZvMFb775Br7rqOuafrcmRs/zz9/ipVeeoyhKqnrG6596U8aX1vSux3U9fSsdNTIvI2ePzvjUpz7FbL5gs11zeX7Bj97+IZv1hjwG1+sNi+WSF197lQf37+OIrC4uefeDD9j+3u/zpb/xq3z1b/86AY3SdtTMzmsmeU6M+14MI8A2QuIp7hnQuLwWB3abDdfX17zzg+/x8IP30ERKo2m7lqOm5o/+ye/x3e98l/l8hjV2wBOaZs58vuD48FA6U9sOoxXReSxwcfaQ/+f/9T8GLb4sh4dLKdoVBYvZDKMtXbtL5y3d0VpJLiEFOSFlVFVB8B19Ao/f/NSb/MWf/ikdY0EQRTIyk9xrtpjhY0C3LVdXK8qi5OG9BzgvJDSthISlq4rTF17g1uEJwQHKSFFQjcNdY9BRJZgsSHEa9SzN3HHNUR+/4kg4mMsqBlPNaQ5u0a+vaOZzzs/OOLlzN71Wg1YUdcWB1ixnDY/Pz4lE5rOC0PfSmdMGytoRt9e0iYRhijJ1cGdsrBzXXvQklk5dzcHjUgHGtRv63SZJKUH0juh7jLH0XUdIcZO2FbvVCqOg71ta5+i95NJaOfq2BZ0/czI/YgTnCF1PH8Y9oZnVVE2NLYvkK2MwJhGSTCVG5VqjQj+QwYJ3OA86etEvTh3BGS/K8U5MHf2BiClL+u1mr1iZJVaVUjgfiLjUpaQT+1uesYkaDBTaUBQlXdvieosi4F2gKIwYOyLyN24r3lMKAcNzgdYYTYzSgeQ6h/iYRVyAojD0TrwMjBEJiC46iWXznmuE3KIBXViwiWhhFUVRY0shGeqiQGkr806bJFehEymCfGGDyekT4xqFKUqq+YzV5prISLK7GVfejDd/krj5JwaHPw6Z3mPRDhcigJrrdlxfXHD28AEfvP8+j957n6ODpSQsKiIS0NKio4Nn8/gRSoMta8pmyeHdFynqCucd11eXXJ8/ZPX4TBbVCIowtFnsgYQwgC9K68GReArIFjbJSORAKQVyoyGbgKvZQGO40el3+fpzyxVA24qDuoA3ScMnJ6Ta0HVbCcyHU90HcmIcafc53JAJq4bNcdE0CSiXJEJaXMPAuJiypuS/BBanqnHwY/Us+kif9BuVQtwxtWwYYuKlic6NxnoxEgdDkST5oMaFLwNHGdwex8gYAENO4gWQZji/OBHnJsmH5PYWNVxLjCTgIjPHSYFpHNjbwmDR4u6JwqUsO2vZgBJpAueEVZPcr9uu4/LyEtcJE0UlcDuDZB9Zyv4ZPqZzM7NzpsfTGCshRtBKAjVlyGtXVIrqYI7XERU91ohZSd929F1LWRasVysBCYOYxO06N2gSZxf0EBxdJ/d+ZAw70RTM7aEJZDbGDqCgc8JM2HYd9++fsVpdE2MQAzpTiEFG0s41WrOtW2azmr53tMmpXRLQwMHhgmaWGFAEiDLOhsBTSdD/JKsnt/J6+nYj81RB1J5qZjmxh1xfrXn8+JKH77/Per3l4vxcjCaMRUdFm0T+jZE2tN2uFZO3quLo6JDFYk7dlCwOFhweHjJfLJjPa2nrMRLUDXpUMYpOdgh7e8qPAxSftokAIhMxHQu5MBZFdiTPhTxnZV4h8zhKu1zftVxfrYaii3ee1fUVPkQen69Yd4F/63/yr3NxccF3v/bH3Do+pKlLClNQ140ARwZJfkg6q5MK6XQtv7l+/rifPSsA008Tjj8NgBwDhOEnoAvQVnT0+l6YE0UBmjTn1RCgSfuXBC5RFxA1amD3pUZElRiCJhcS8r32KBUQlNNDAv59L5V6raW1yiQJpuHalaLdrCSQi4Fd21FXCmUKolaYqAguDG3yCgZgWNat8YJVkKJviGEogPqAyL1EaHdbvHNobWiOTjFVw+rhPZRaJzOrILILtsAANkaiBoXFuw4TPUEblLtm9fghi+O7zI5fYP3oHRQOlXR0p/vhfuF3sldGPdy7kEwD8+9DmmQ6awQyYfY9ZSxkHVdIIH1wEDy+XRN6Adt0UWMKm0xbpVggIFADJs11bVDKYIqC4Husl/VblRVNvaSZHxF1bo2LI5CdhtqubcF36FAOAXAMTrougsQ5tmjQRU1QZhhX0+Np8/5n+ZiuPze/nj73m0H9tOMthJ52t6bvtnjvWS4PyQFINl211lKWYg5qCj0mYaYgeI1zCqPBOIXxGlM4+l4Twgg2xFjIM044tTL7hdKQjJtjUJR1lWIthrbQzPyZgo1D6+UkOXFO9n8mTOHNZjPIruTXQW7znPxNunJj9cBazmudc8J6Mlo0hjPpQ2nNcy99kg/vfShGxMpTzBrJN24kUdNjut/l61FqvLd7czYVpW5qAd+UeZo+7+EZT8bCzaJtvu95ht/sAshtusBQyJXXTAy1Yti7xuFzI+PfDs/Kp9g63XMn8W+fKoHZHFhrg1Fw/4N3ee6111BoDk5O6LqNvKUa843pkQHVZ0buKScWN9aa8bLyc03fRnlWkrcxgE7o1ImiJIc7uXuH27dPuLy44MH9e2zWa5T3YrJqFDQNtiw5uXWLT7z2KvOjI6wtMFZysd47icF84OrqgsvH51ydn3Px6CHnDx8Suh3b7Y4MDldlhdVg8tg1Fhciu67j0lj+/Ot/wqwqMVojzametuuk6FEU2KLGFiVVXfPCSy9x57nnODg6oqpqqrqmrmvu37/P7edfwIeIqUpeOL3F6d27RKOIwXP3zm1OT0+xdS1x4GrF6uqa2WzG+vqat77zHa5XKz7/mc+IUJtWuBAGNrbVOfHSRJ/JCnkfRH4XBczMOWjOjWOIXF5e0K43vPfOO7z/7rucPXpIcD3P3z6ldz0XmzVt29L1js+8/jq3j474/ve+z9HhIQ8ePAClePTBPT7oej772c+ymM+5eHxOVUkx1BhDUxYoXTCfz6iqilkhrfxaK5bzmu98+7u89tprZImKuq6lg7L32MpC8Jhkntv3QgIr7Zxv/OEfJjwik9U0rm1TQU/2AWMN8/mcoijxPnJ5ecWsmdF1PUoZCq1FxsMYdqsV7WZL1czFsE5JnpNlI6U4n7ABNXaCPZNHZMBQnrbO79d+pChWHxzRXi05PL3F+b37bK6uODg+BpIHTQRblERbcHrHsFmvWK+uqGuRoYgh4FqP640AhErh0hgVUFKMlWNag4MTecsMpGYigujWWzED7js0Gm2TWZrWKESLWqGIocXvtkTniMYQfcD3nrKa0T2+wOLxAohJl1AUc/dMCNRKY4qCoigxSdbUWk1ZVZRVORivCdGgRumCiOj7ar0vvQgk6Yc0aqLsHyHEZHAogysiZI1uuyX6scspP6u8BxtjBb/uHcVw30jIWtKQVmCVwc7mSYLVYUtPqTX9rhUCWxBTOZG6ceggDGqpsUluorWhqGvKssQ5j1FCcFBKfBkiQZjRfiyWhBAwWlMYDSrJ7JWVGN8lI+ahI1cbMAalCkzSiZftdZROGyCmPSxVjXGzMthqgW2vsVWNdy2maFK8HW9uVz/V8VMxh592fBQyHWFIrBQOFQNWG+bzGQeHx2y3W+azBmOKBO6JwZxJgaNvd2y2Wy4ffIhTiqJuWB4d8dLrb6L0p7n3wft88PaPoNuiiVglkyIqDzGZasV9iQnlM6PBDgCwSewVpSOjTmEO1tXkXyMAkhpFzfNmlIPD7IJ+k42Y70jfS2s1jCzdKWgHqXqXWBlTRlHwIf8WoxTRpM0yBW4x5I1yX/9teg4+5vcUAntwEKOAcz56PBFb1MzmDc1ijjYKv1sJIyJN1hACLj1vYwwqxOFaRhO7EVTILYY5YEKr1Mos90TlQDJGBqJKAp5EL5okQZhQ4aGqkoPjbNqTgzmFIo0B+QQyW1pahRUhqKHV0nupMvWup+s72l2HdwFlChYHB8JoM3oQc//ZT0ufPPYZJz/mtRkIT3/Xd13+xZDwz5ZL6vmCej5nsVxyfXVN23asrtec3Doe2kY3mw0wmqJ55+n6Du9FtF4CJNGl1Qk81sqIBrmVgKh3nhBb2rYlBM+2FRbRZrvj/PJKWrOKxEC2DIx+5x2FtazXa/peCjbHx4dYa7jkEq2hqius1djCJpZNugORoXiRx/G0AKJUQIWAKcpkdinjL19nVRcYs6CZVSyWM66vrjk5mtG2LduNOFTv2k7mLZGDYklhLbP5nLIsJOhuamazkvliQTOfy7lOZHTE5XYsUrlU3FCTteejxsD0CCFQFMVekjoUoya5UfBhL7GbrqsxgnRABfpdy2a7oW9b1ustwYlMRtt17FZbLh495u37j/i3/4P/FQdHJ/zH/6f/A1oF5ouaqD1RB5rZHJRhMGrK4+/HHD8ONHoWQKX94+MLsh/5VzdAJ3gSIFdGY4pKdNRh0Hsv6ibtYRKmjIXScZ8PMSZ5p6RROSlGAntgj1KGEAbln6HICKC0R2FQRsyjlDZDy3gIAV3ViYHaQxQzw6qsUwA1sgene/YADqeCcQ5Oc4AbcyG57+hW16h+R7QWXdWYsqbtOuZlRVnXuJ0loLBFMZjoDcU1r6HvRaMYZN8JHeuLR8yWR5SLI9ZXD4nttXRGaTPMyyeexXSuKvZ+Nn3KWo/dAjGGZGDx0c89xjjMbZXma0igj3Q3WXGStyXalKBtYkcoorJg7JA8RhRRG+k+UhHnHWWzpKqXBDQheAj9ABTmalEIon23bBphvQzjRJDI4D26bKCcCYOCtG9/zPjVP24T+xk5ngDIfgxgvH9EfCeJYUwM+hAiqIAtrCSjZUVRFakDxoAS2TYVJS7KsZRXJIYJKOWxRpiNPkSC18ImTw7qOQkhG64wgrBFKky61GkFqegSxphzKCbtgZ7jWqK1xsex+Js7cbK+9fTIkhmQpIqUtILGQQN82u0i605RV5hhz4YP3vmhqCVvFLaysg5Nzmu6rinFHsNrfD5jjCqJeUxFjfReT3nuWT5jOn5vAsjBJ/LBJHa+CRIP8fONooiwneKQe+S8KTOUh9cnVlFMnZNxADHHNUnug3R05cL8IDnSZ1PgmK4h4GKWoYspX5GOjpTI7T3Fcc378bHns3xMx//T1q6sbR2DJmpDszzghbomOEe73Q17lYuR49NTITlUFZfXV3Jvo8Rfftdx9uAh69U1jx495OryErfrCElOpq4KgraEEOmCQzlP23cURuZ5FyKdD2x3W27duo2NiqaqicFjAIPm5OhAcmIj+3FEsV6veP+t7/DOt79N23coJXq3LkaOjo6o6wYKw3q3oakrfAjcvn3K5z7/RcrCcv/ePa4/eJd3fvQOu80W5xxVVYn3TKF58fm7vPeD7xP6noNbp1TNbCDmaFLuFUSTtO/FTLaw0toeQ6TrWlbra6pCCBYxRO5/8AHf/otvs7q6wnUts6qiqSru3jqmb1vOzh4RQ8AaQ9v17HY7KboVJa+//jrbzYbXP/lJtNJc3l7x9tvvsF5d43shwcQoXbulNdjScnh4wNHRoeQC1lAUlh/+8AecnZ3x0osvUxZ26JDQaW7XVSVbodZDMddaK/m+ErmgfF5y3WKOGxXDa7tO4pD5Ysl2u2M2mxEjWJs6YwGrxafn+uKCP/36n/Dlv/230Rqc61GqHACpAFiliSQZx7zkPENz96NiY+loSWNpf5FCRwVYitkh9dEt2m7DwfEh5w8eoKOnPjggKLA6ye4phSpL5sUxi96zXa3YXD7GFCVlXYMpCQNOJGsrJPA3jrczA3953ciMVIgoHdBR9ISjoLESazsncVnq0gyItGJI2sP9tufieoXShqq0lDZJQRWWsiixJvkFpM5spUhd5EKMLMtCxlgihCg0WhmReHCByI4QIkVh6VvHzSOb5YqJDmMBQiMxRcL6AqAddK6XVyfZNKV12t8ES84+IIIXxeQVppInVLqPae8pkpdV53pc9FTzuQDn3uOVwhiRf9BBoZVNfhkKqw27tiUojwoKQ8Aq2b9Tj07aj9O80NnEWpjKKhVYtLXYusbOlqiiTjHAeI46MYaVUoKBTYbq0/YQ+UWS1/DSMWDTmC2LmcjWFjVMc2XGffenOX5izeGbwcmPD24BstlRFlL3qTLWoYC+61KlX3QC80VJMCJArDEeukD7eMP1/Xu8rw0Hp6e8+InXuHP3JT587122q2uuz87kRqlASHUFotpD0k1hBuDSJDONmDjcRo/BaQ7Mpknu9DpH5s/InsgSCCGxAZ+8Z/LemSk4ZVns/Uu69hvBZAbtpN1TDazBrBeYgeA4Oc8MVE/blERzytF7iLamahoOjw85vHVKs1ii0Wyvr7k8e8BufUX5lAQnJ52jMc7+gB6YHjEyXTq0tSlNENZziIqMN/koBlRZFN7HxLnOSctwH56+T3nv8amKgxIpApLmTWZFBC86us4FdtuWrhfpAgmChS2x3W7RxnD7ubs8/+ILWFsO4HNunX+WotybSU42Qbz5munPRONGgo/QCas8M+BjhPnykBdfe4PNasvxyS0en11wfX3Jw4ePUEr0dsvC0rX94BCrtWK92QgbW4NSmu22ldekOeSDaAkrZI3oXU8IsN3Js9JG4V2kT9rDbd/zqTff5OG9e9RVRV1WlGUBCsrSYk2RKoWe7XbDgwcPAUW5s0mbcIMxmkYZMGNbZ55veU2agqKZpWiNJIkh+mEuTtlGtrRoq6makqOTJe12S9d2bLeiCbZZ74hRDIV00joVY605ZV0ms0ZpR7FFLlA8HXDI8++mpMTNefmEuVNKYrtUABjWNB8YtbpGKYLgc+AlYyEDBLna3bUd282G4Dyb3Y6u7dhtdgQXeHx5yeNH51xdXHPn5Zf59M9/gQcffMj9d37EC3du0SyXVIs5x3fuUM5mBGUSfjRZbxkDv6cxkD5qM7yprfzTbpo/K8dfBuT+OGAqH9qWaCvsl+AdQWezpKxBPjL49saZ0cRcTIlhKMTe/Cx5fTKPiCRGrxfnZJOKMJlFAGAsuigJPoh2udZE1xM2PTFEfBSZElNY6SW50SEzvUZhNAgiPS3sRJXmdQho10nB1FpUiEQfsZVm9fgh9WwubGZjid5ji5LdTtp/xSTDYJC2Uq8C6DgExauLBxycvsjBred4+P6aOqpBb21aPH76w0WC6clYVak4i7pp8jcFssZrfxo4IQAxEOLQYZT/JqQ5bY1GG5vkJcAWNaooAUVUUiA3SEuzUoW0wimDihHvdvh+R9e2wvjQGk1ks9lSFgWub8lZUUysDdIZ+BgxtkTZgpC1+T5yiEcGs7+f8ePmmJx+f3MteloM3W42KRGycu+txKhFVWGriqKqqOpy1Mk2BYpAbFvRic7akVqAHoW0L4ZeImRNEKZ41BIzJ9CWGPeMY3wI1HWNSTJQxHH9zQyffE051szyXaMHRo4/UgF/AFBlWPR9J2yadGR9Q2EPFQPgvOvbQcKt0Ek2IcQ0bpWwqYyhrGustTR1laTiNMqTwK44EEfGY5xHUwmp4dpUSFMzgcIJnL3Jls5/Ny0q3zzymmqme9tkbOS/zaD30CUwMc7Lpz5IbEzG1fDvZI3WOrMPFYqp3ARpr1cJGM5XKd+Tmz6iSItA5Pj5F3ntcz+HGt4/n1CSo8pFrOn4v1H0+lk/prnbzTP+qPj5acW5oRCQCu66KPHByZ0KkfVqi1aa+WLG4/Nz2t6x+fBeMv2OEMR0KobA2cMHrB6dsV2vcT7QdT3trsUqS3SeSOTs6oJd1wmgu9kSvKcoDEcHBxBCauPesdtu4Tjy8OEDfNditUZFT6Utvu3ovROJtrKgKAsOmpLNZgs+UMWIUgG3XVE3M3bXl6wuzpkfLAgEqlnFcy+/TPSe3/5v/mtWqxVd20KKLY0R35c+ze8YIqv1iqZZcHbvAaYs2XYdr7z6KrPlnKquaZqG7WrNvQ/v8eD+fXa7neR8iSFcFBbvXJJbSHPTOaqyZFGUFE3FbrtieyWG0ZkprJTCaYt3nhgCq6trIUB1YoqtjGi3Gm145ZWXOFwuOD8/B8Q02ZSGuqlYLucsD5bE4LFlQWE00XtefvElPvPpT0MULfWqLMksv7IsRP7GObSG+XzJo0ePUkEX+k4K0nkdLApZH421dMlnJcZIXdecnJxycnqb1fWK9XpD30vmbYzmk598jfPzM643Kwqr+Ce/81ts2y2//OUvyzn71C0mrCy8kjGvMptYPRvdOvkYC+uTc5YkhhhzV8j095GoHCpotC6oDm5TbVZ06xWnp7d4fPaIJZF6NqdXAlZKd6VI8OnSsjgu6NqazWrN+vJaQMIBI9FpXSUVLuNAtotDfpXWFT8iJsG3BKTLzfUOg3i5BOfxWuOyrGmcSNoYg61LTptbFFbTLJcE1xOnRoMpHxepBPlPJQ8nuRvpPqKwVUW/a/G9rC/S7apFltTJ+Jj6FQF4GDvAVYaJpUAZU/7sMu7iktSY0hhtUiwqnU1C3IyJvavwzqNNkPkdPEHpIU812uztNUVVotLaYDUE19PtZFyLp1LqiE2YmFEKUxaD5FWIkUIbMaZWkovkPF+K3BajxRMrqoC2Bm1KYV+n+a1xxKgHMqkQujJYHIc46Oae+MRcU5noKPGzrJ9b+t0KUzeEEDFDTBw/+n3+ksdPxRy+mWxMfzY9oeGClQRKNmkbeiegodaaoIK0yxgjVYnsiqm9IPCGIRCVYk+UNhUdeXz2gPv37rE8PuH49A62Kjm5e5d2u+XDt79Pu7pCETFaBngO8nLyprRKDq8KlZnAcQx6p+DqFFAJwZP1PSRJTmygSbKSHYin98JPAONpy1oOLqefIwnz2Jo1nEtibOQQNQcMUjmCgUUxgH/CeA5JVkEmnHBzFKJZOj86IMTIxfkZjx7cp+s6jPeUhaWqCnGpTgucMYayqvC5TXXSSjDVcs7BdO+TFEVqUzUoEoVqALqzXq0PPl1vFK0uQRIkIWViCJcCqlwkGTSP0yXGGHE+4KMktn3XClPKj67XzgVcL4FV3zvatqPvJYh4/OgM5z2mtLz06kuc3L5FUZQpOJ+M8Z9m8vz3fIyB6/7ZP3UexygJRZRKFRmUT+BC1JpXP/UZrh9fcH7vHovFgtXqmouLy0GH7ODgYNh4dv0OpRTX19d0XUeIQcDfzuGcsFV6J9pFEhBFnO9lTGiDj0HkTmJEK2kdLYqSqip5+ROv0Lc7FnVNVRQ0TU3dVDRNjet9YiJvub6+5vr6ikePznnttVfpO8/9+4+EmaANdV3usXGmRgb5Po3JG0PybPQobTKCmKL3p0TUkcoa6qpMt17RO4/vpYKsk6GbTawqbRIIoJLkyrDJMgBd4zmFvc992rneLOpNn/lNhpe4SivZ0HReHyUpnR5B+sFxTvTH+16q1tvNRlgwIdL2UmjZXK25urjk6vKaznvCouGr/6N/GWUN3/rGH3FYlZw+d5fj517kznPPc3rnLkU1k2A1juu/XM+TLK2bx9MqpjdB8Wcq0I3DsBmOj6oK37y+aWKamWwZRCACpqCcH9FeX2K6lhi86L9GSUBiWliVknWb5PycQXt5H4VOidLN85juX7KmKFRIOo1ZLkGLvmBUCmuExd/TE6Kimi9pV1dYW9K3qW05eohJVkUl0DWtT6gMYqaicDpvZSy5mwQtc9smjT8XI9vNlu7yihgVt+7cpVks6LdQ1TXBzdklEDuz6XJbr0v62ABRpyJYjKzO7gOK2dEtjl54le2j99P0HcFYpdQQFJPMFydh3QTwiROQRRyLfQLHEhTDOE8z0DN5zLm1PL1/VFKkjT7tvd4LGzh5EIgcE6A1uihRpt4ryCazbPEQCB7X76Sw0O/YXF9T1RWaiO9aeu8ptLy36xxEMU6RpH4cw9ZYWu9pDk/ANEOB++nj/dkBlz6ukLcH4j39DVhdnRNcN9HNFhJCWRaDlIS1xcB2lfsbUjJ2c+2X8RRMgSlL3K5DtdsBJM2x6LTQkpnDdQJaQ4pJrTU4H4a4MIPBU88PYQSPnW8wMt9FEs0PHXI5RvZ+zB2sFcb7brdLBX1pF/UxgZXBE6zE98YaCh1RPkL09MmorywlURt0fdXHmDSSahdq/9mNa+nwEPfuWf7vZgF5GuNPn/3099O/+aixsicRN4mxB13h6XskVvPNBFGKS25v5kyB/K7rcE78HLq2R3KFFC/fYIYbLSY61WyR1gVZWUa22P6YHr7OefvH3P9n9bhZPP0osDiPf12URKUxUVHNHb7vWG82VHWNMp6yqSitYbtZs7pcsbq65OL8TGTbtKYsLJvdFUcntzDG8q1vfJOrx9c0dUU1E/kJFyKf/sIXeOu73+Xi8Tlt3zGfNZS9k7XYR955+21UEF1+rxQ2AR0+6Z6ut45mVqN3UjxazBfC+AseY4U5nLtKrC3wuy0qBN5/dMYPvvVnw/XbsmDWNJRFBRa6vudqdY1pGmxVybriAoWxPH70CFsU9K7jzx+fERX0XgzEZ6WYl5ZlSVNV0sGKgGRNYYl5TqVuVq8Vfdex3WzZqUC728h49kHkoZT87ePLx/S9eJeQGPLtbpeA9YLryyuU0XRdh8YTQk9V1tTzOXVdM2tqjo6WeO8kblfjsy+KAqIAOlrnLgdPkaRx5vOGi4tLvIfNZpO0VeNAWtJa0zTN3jrZpv1gMOmM8KO33+a73/mukGuUdP31vUOh+eEPfyhrdt9jyoK6sHzzj77Ge2//kF/+8q/ymS/+fCr0KEwhndzS9p9jbllTnpW4eVh31WRdfSLPvVHgSbgQUVM2S5rDU8J2Q3sZOTi5xePzMw5Dz/zwWLplSGQ3LfrdYCjnS2wlbM6+EwlDl+PqrpPzAoKT8WGMAa2G500i3WRzUwXCntcFQStC54VoYaWTuS4rrLVJC3gkDYR0iVop8A6jFNrIuoBmKDaIr1KWLJO1XsaqSZhMpLsW7eMh3g8BH2R85aIhCLEr4wt5X4iE1J2S8i8yuWrMS3z6zDDEqZmYJWNdDNsy3uTQzqKKjH9JkWraUTc8c6Ww2qa4qSAoMU6OIRBTLBFjJESZI7LXJik9rRPYDHpgM6uh61EpjbFlyqcS6FtWmKqW853gnyaO+7yoDySGuHcYWw3j9eb43d874vA8fYrB6sLQrq9oimp8Nk85prnYX/b4icDhacA4vZiPS7ZvVm1iBO8kEfFBwDlTWCpFkrsRnUCVJrX8mcJHzdp5bj3/PN1uS9fu2G22mBjoLh/yweMzlK1QtsAWBW9+/ots1it+8O1v0+82zJoyJTNjO2uWQZDW9RxAJSA538wU9OQq+AgYyQTQic2jzUQjMLMoJgHjCBC7dM8yq4l0Lprog9yXG21nkvuK6UWmlit0uj9JV1GN7s74ie5VnDAZ4wiuyHUI0LZ+fC7nqRSFilQGTFmhjcVUJba00rqQAsku6SnrySRRqQKSH9qQnKb7Fqa4UozEJKifCL74tBiiVBIbzzWSkJJfR7Q6tf0Hoh+BuPwMopKEOyL4RYiKrt9SVxXb9VYWua4DRHPH9eJAv9lucL2Akxfnjzk/e8xiueDVN97guZdfEd2YohjZ2mq8zmdlo8zHRyUyT3+xzD2lDcbCbnVJ0czJ98CgiVa05oqm4ej0iNX6msvLK1abHW17j0ePzocgJd//XD113g1FlLKopVLvAz4krWOZsBTGYgtpbbPWUNdN0iCK+Ai//Hf+FsfLQ64vHjOvC3SE+WxGnVhV2ZCnnpVUTS21hRD58N6HHCdd39XVmvlslrR8GQoX03bOPN7zfdRao9JrpaVE1gCfwDOl0/aXAgAFQwu41gZbJo3UzHDIMg5T5q8a20rHzHRM9mxh6dpWBPUTS4wYh3V3H8ze14VSUcDtECI+bZSd6wegvjCFVI2ttJW7vt8DFUWGRroCzh8+4mi+oO9bdlthZBBh2/ZEY/jwg3uEvicqzcuf/jS/9Lf+Np/89Kdp1yvOHtznuZdewmjLYrng7gsvY6uS4JUUCUmV4zzXMwiY7lnmnE430o8a+/l4VphL+ZAYI2ku8/HnfxOIyN+P7cQKHfI4VngVKKo586NTrrut6Gf3LTYGFAGtLRIbaZTK4ymz1KctXZ4QMwjPMPbzuQzFwxghZJ20OIK1emwRy50efYhYJ/NelZbgJbkJqQVdFZLMCNDph8Bbxkca50ZMKmOeQ1rA2+m8MDHitluqxBpod2uMllYyU5WUVY3renxq4dRK43sx2g0TrTCdXL61E9Ov60cfUi6WVPNDduf3UdE/OQ7TOmyMHbtt1GiCK0D8eK7C3s/yUpN9OMciOgPEGR7M7xKHGEZrLQxQNSYlJgqwrfJ8i2IyG/fhJCCiVRSNOCfPQlp9A75r6XZbqiIxFL3DRk/XSZuktAzKehnkaseWAAEAAElEQVRDEMNiJZry0ViU9/RlSTmfsIc/8niG5vAUWf9xL50kBTFG+t0a7x0+OJkHShIiayxlUSSZB+lYI44O4OLCLEVciY/0yHx1HW63BS/+EsHFAfQdSRBxiFerphE9e+/35rwO0t0lLJpxLOZWZwEv9FCYh5EIIUlOLi4xMI9AJe8HnWSkJF7rOmkn32y3uCBJUlSa9XbHweEhzWyGRuaXNQZbFuSi5lSCJKZ7LMzhJ/OYETC4+cByIjp9WcxTgtyqnPdZdUMybm8f9gm89yFptY/7Vwba82sHMklaVEcDvf1zHJ8dAwgy/R3sG+pl6ZdpXidrtyHipUvDh9QZlACNlFNYa4ndjquzB5w+/5J8XIyiWb53L/c//8eXdX+GD5XzwY+P+6cx4k1gOB+yvEqrtvcBowxt39Ntt8xnM4yG7eqaH7z3PhePz7EarILKilnoZrXm0dk5KMU7773H8cltfvmrX+Xy4orVxWN+8IPvsd1tiGi+9rWv8bkv/Bxf/Tt/iz/7kz/m7OFDdustEc3l1TVvvPEmjy8u2KyuWM4XIiuihaDjXA8EVN9jrBB6VtuNzClj2V2u6FyL0RZbiEGliZHKWg7qGp86Tnz0NM1c5BBMwW7X0m9bqrJiuxWJtRBlDZovlhRlQbtdU/YST/sYmJUNzgUKJQUr33Vs246oYtJHjrjdLsW0XiQCggAwIbXxawW7dpu6DuTeKy3GnKF3wrx2nl27w2ojuS5KsAatxWC7qdAaDg+WFIXI+RwdHmK0kiJUIfOzrqTbtDCWMplRGWOkiBoCTVNDFLbzdrUWNiljF0Luss77dTb+9KnoldfbPKe9d9R1LaCVsVxfryiKYjAddV7WpKqqMdZSGstiXmGi5xtf+xqPz874wi/8Isent+m7FpTG2CrNeemunhLgftaPKRFkNLBWg/FelBfJ1zFhKpAKHaAoaJYnxHZN6Hf0rufo6JDV1QXBOQ6Ob9E5hDxlDSbFtyFG8cMoS7QtKJtGtokgJKHshxQGHEYwlKH4xhivy2vzz3V6ls24jsPQfQWjbI9JRIjxHiSoVokkQlTpImUjHfbEvMIpBcG7sSMlvfE01hXvqrRnpFxMp7Hq/A2de+eGv48xpry1E2QZ9l+bGcRG1psQQgKQUpFFC2PZJIt7BgKT3BExeTUT8meK8YsCrzRKBzHwKyza+YQPZP8g6YAUvEcNRpdF0gEXCC6TTA1KT6RpE+mRmMliccjbUCYVRFX+fyLyvuHH5HJTQoRC5NyUkci+7zq4ukCXDVUzhyQDM80X8vvskwR+/PFTgcP5Q6eBxtMS0XzkwZZN3kxhsU3D4uSE46LE9a0YnCTjM6V00u/TuBDofaBs5rz4/Anb7Yr1xYUkbTFXRwJET+gcrgNvLH/+rUfMDw55/XOf5ersjIsH92hK0U+RoC3pZaWHma9pCsqIxK1MGAFZp3pq+edxAC6m92VYJEJi4JCDRp/vJjnBnuoMx5Q8D0CUzqDr+HlRZIgmLNjRzEtA4DgEnqgRyBqC2Xx9RiokOW+ZMhDzOfp2iw7FIK2RQazp9xl4lkcvI7/3HmXSZ07u6zAuUhKfW0OlwhcHI7JsfpbmFdYaBJvSFLYcwLuYE4oY0dbgU8U3pMU4RlhfXg4VLZ/0ecSEzrPb7litV7J5OnH0Xh4e8tobr/P65z7L0a3bVE2NNlIdjENl7tkMclW+qU/8fD+gVaTWa+EDUtU1H773Ds3hKbasUwIqb3jn+edZnhxhtACUjx485NH5Y4LvWW/WVFWd9AyDFIaMiNzbIC03ShmauiGk54MWnbWuT1IpEaqqwFhNUzcURSVVPWt59Y3X+cKXf4VFNePq/Izzex9QFRYdoalryqbGp03LOY8xa5RSfPDBB2x3W2at6Pp2fc9ms6WqS4rCjMmkUmSx/SmgnteI6ZoX07wbQV3Ge5nXzbyeJMhl2hptkq4b03nCR7OcfPBYJUZepLGek9fpejwNkobuhDQ/+s6xWW1YrVbCmuhd2hxLjBJguCiKAbjKut1KSTtS6x0Ht09Rl1fce/iIyogZZ9/3nJ2dsbresDg+ppnPuLq64vQTL/M//nf/HWYHh7z1F39BdB0vPvc8RYzMl3PK2hJjhwpGgFAlIEAgoJTFk3mSY500TtzCp8f+xvrsAcLTIw5rd/7+L7f+TJPTDDzEGMSYAuT+IkW5anFIt9vgHzt2uy0+BooQMEVAmwJURAU9sL7G90trMTqZWCUAKlkK3xyL4zXFhBPLPmWHdnJZ14uqpC4qNtdrYTNpjSkrfNK1FofmcmiDm4IvN9l4wnhMc3AKkMTI9fV10liT1vy+T0Cn7+nbnTAJjKFq6hQQB2LXY1QxmIYM91qnIqyHED0mBlaP7nPr5depmgVuffHEPcj3Z0+zlQnIdHPNVuzP6wyIJ2A5TADivXGiMh+DYU+eMj4HGYAiotEpXiuGpEmpvN97Qi/dOLLueGLoid6jg6fUkX67Euawc2KWkQGvJDFgrJiZ5KdUYoje47ot2/UVtpxDUe9f94379cwccWTR5GN4zh9xLeO+EiEKc6ZQWlywY6SqrOhHGoOxdoyjYJAuGVjDQfT8w8QYzqDF8FlJQoSKKBUH4LHve1yIlFU9mLrl7j/nwjA2jZkatBm0HiUOMqMthBz7S9ydixHSeSLn5xMQGWOWqYg41wpDKUY2bUvvUoyrIETHetMyPzpiPluyWa9ot2sWjZhjRaXp2xaVwFSdxp8w9gI+jvFocJmwkddJCGGMWcd1SyX2lBrOXaUke9DFj0J+UQnIzfNqSqbQSonuZQICsqfGRw+fmJrt9rX+8zlN15NpATDnF9PxlPODp481hVKW3rWJBScdAlKsl3ym6x0ekes6PDqgambD+4ipkiajL08d2ynZeFb0wj/u+EniiZv3YiQGKaqioO1acJ7NaoVvW7x3lFXFvK7YGkPftTgC28sd292W1dUKW5ScX16glMHHyD/+rd+i2+7ouw6TAKO2b9nsdvzWP/oN/uRrX+P01jG7zYbdao3WlrKucEpx6/QWTVVw9ugMYyVPtWld0drQ6JLdZkNRWDbdhtlihvee9XoNIVDaEqN30vKtBPBEKYwRHWpjC9bbLaBwyuC0YacUx7dOabzn7Ey6NYu64cXXP8nFo0es19dcXDymLArm8zndrhPySJL981HijKIq2bUtZVXSBgF32raFAGVRDKxo5xyRSDNrCFHyga73WKtotyKFtNluJHfuPet+J11B6fkVRUFZFZR1yWI+p6pKmqbBaIU1Yj5fFFLIJoqBXpFYgdqkfc8o+gCzWSMAXAL/hHH/ZLyWP3daNBrIKqlryhiTWMTQu1Z8X1ZrIElfJVZrVdYplpdO3uADePH5cH3P/R+9zfmD+3zpX/hlXvjEJ9C2IgSHVpYhtX+G5u2w5k1OeShOPe06FJOcAtBgyjnVwW1839N1jqAVBwewvbrmIjxieXJLZCq9k1zWCAA4rLsqEvMJRMEPsjfHXh9mjANhYYz1lYCiKg7dk9YaUMXeWnIzrpbLUyIFFEKK20ihVKR3LcGLSbwUcBliY61FxsZ72bPKZFY4dsrbYW+Lw1iNRC+Ff+8lfxQ2shQ0jNWjaV7y2vKdxyhD1PtdShl3kwKqSDWqhCFFH3D0lHVN7z3G+7TPObTRhCDypELiE9xsH89SGKvFz8IbCF7AXZKcXuoINAjDHySe19ZIN6BJ8hXp/YxJXQrJpFYnPEQMtfexRFLkMOCE+XEwxu/TvXr6HPO90cokTzAIWqGqiqgU5x+8S7U8kTEE43ibjA/4yefuT6w5PNW6uzlAp68bfyE3RpwZFc4H7Kzhi7/6CywPDvn2N7/F+vqKpjSpmj4GWX2Aar7keLnAe8fV+UO6zZqqkNP2PkoLGhEVxO2RGAjdBt23bLZrfnD/PrODJfPDBbHrUKnCoHUhVTkYNAszPTy3isvpp8Q2BYV9AqymOr7T5O1mEDAGzvtATV7kb5p4ZAAqJ5z5PfI9nspPSOCZE+xJEu7TRFeJjTUNcPMAJAPC42I5DqIxftTa7P39FGjKrw9RKpPeyzMJidYrOlCpdSKxSNTwviqd93SA5dY3ASXlcwPaqpSYiC6mtR0xhsRSkERDA8oY+mR2o1F79yrr+3R9T0iL5Xq1ScyUwOXlFV3Xc3R8xBuf+Qxf+vJXpJ02OOpmltoERhDiJuj2rBwxMjjXT41SnnaoyUCYzQ94dP8ejx894s4LL6VNTzaf2WLBpz7/ef78j/+YO3fvspjPOb51i816RYiRsixp23ZICKq6Hqvj1hAD6VkqisyK0Um0H4bgqZlVVFWVmEtqMG84vXVKUVR8+dd/nb/44z/m+vEZmsisKul9T+wihS2AialOMbarzt2c1WrNYjGna3uKwlKWBdmMKzOd5f6Nm+jTkh9Z5EfJlPzaDKLtzWtSl4RK3Qi5ZD387MnxNWURxNQKWiSjLCZJHpPPfuIcYyS4wHaz5fLxJevVmvVKnJq9xCBUVY2dAGY2bXgZHAbQKHrvOL+44KVPvsaff3iPq+2W66sr+r4X44zes1ldcef0Nsvbt/kb/9q/yuL4mO/86bf4sz/8I05PTlguFyzmM+p5TdDwwdvfI2rL4uiEermkqZtUxQ2p1SBtxnltSndzGiR9FCA5jGt45ubuX/b4uOsKweO7HavHj1hvNszncxYHBwKy6oL68BYh9ERzjXc9u7al8J6iygGiOO0aa/bGlhQy076lRXoiRj987hOBT3o+uU2coDE2JUDOAx6s6PU1RyfsVtcYqyEojA2iXRskGLVFsbfWj4zF3G45ad9L5xBSICWGGgVVVU3AWDWAz67vUNpQNw1FJQYXRRAzD+/cEBAPe7p3SdtUDaD35uIRh899gqKe068eP3X83fw6wmStyMWmMdgcg0m1h5+O4Fu633mupkLtkHikI4NX+b7sjx3Zc7WxidWVtPtdh+pbAaOjTzIkHd71eNcTXUcf5OfaaLC1tA17+d5YizY2RVSp8B48rpP2S6MNOhv8Dde1H+A+M3N3APAkAfPeJ3+NcT58HNid13NjjOxZCZDNe7c2uZApe9X4N/vvkfn0Nwso0+evlML1LsW4imY+T+3QAhrn+T7d+/L3krsmBvoExAAQ7fJUvIyZYCAdIcMaDcnAdvR/CKmz0EdF5yK+75N5sGfrHCd3n+OX/tpf57f+q/8SqxXzph72WFkHcsecnEdVVRRFQTOTgnG72w3xqcTTI+kBRhmi/efEwObbj/P13t/EmMBvzcC2ykdQSjS7h9dKO/L+sFEDyC7rWRi+3z+n8bXDuUchWkzPZ1hL0r2+mcPl63fODfcYoO/64TW9c4llFWjmC47v3KaZp04yoHe7yRrrkdLPzX0Z8nr2P+TjafN5f80S2YEQROW1LCztdsusLDk/e8T11SVKwa3jE0qjOXt8jus6VJSOgcVsycXlJSooLh5f8q/+63+f/8d/+n/j4vwxZWHp21YMta3F7TrKqiT2nvfefhfvetG8paNfrXj33ffp+47DgwWHywPCTlrQvcldbhrlUxGjiATlmc81RkVMVIReACyrZf1wGlxMxcYI1pYsDg44f/iQ555/gWq55Ne+8hUWh0f0zvGf/Ef/EbdfeYWv/NqvURQF//V/+V/x9ve+h3Idn/vsZ/jcz/0cX/vd32Wz3tL3juh6iXvLElNYdpstzWIuMadzeC/gcEwdcSrV1DMjcNc5+k6MmzebDUZrdlvRLnZdz3a7RSk1yKTVad0oy5JmXlHPGpbp81QUlmJRSMwxaxpiDCwWS1arFcZKG7vKlAalaJqGDPqGMHbkShu9zJmp1I7S0kGhlBrY/nkdyNIAVVUBit2uw2+2Est7n3CXmD5LxmTX9cxmjVyXMYTep387quWce++/C0Zz+twLVLOlmH/GsbT5TBVmbxzD2jkgIIyEnvTNkEIRiMpgZ8fUToqc28sH9ETmS8Nmu+HywQOOTk8hxYMa+wQRYTA+VQqKsRNUhzF2kzU6GQQrLRJfMSaPiXw+KW5VU0KhmuR9+dnEtB/rgfUtWLPsSZnM6KN0cBtj9/ZrFBTJAwfEayAEP5ivDmz1ZLKmtAIDFtH6j96nAlfek8bYPBJT93fGsvZlk2R7SHtGKngrrYaOFK00rnfousb1IpFktBJAVEVQWWpJPAVUHre5WKmkMGuKEgh7zGxtIgUM1zgMkXS9EnsnIzqlByJrxkmUTsCxtvI6k4H+YZQNBIE4/FTtA243xun0CBG0lY5aTSBqy3x5SLtrqZsZWpVEzIhXPhGj/GR41U+sOfw0VDv//KM+XGuDj1LBPzy+w2uf/TkuL8/5p7/z2zx45wNOTo4x1TwFioJ8h+CpFgvKquT8/r1B76S2hhBVsprzgCH6QMyaLX0r7eeqQud4qN1CKCmMScZzwjSz1g6g781DKYXRwlyW6pNCWYtK4PCUSRjj2DafWRE5oA+pJUvuQ27/GI3apsGZTpuY92Gg3z9Nj2zQ2A3j52mdA/L0XBIdfgjiJ88Ixsr9tBWgmTV0SRtndGseB9UU5M6f2/UdvQt0nafvo/gmpObnnJBkDdcQIoU1A1Arnz9Z2FRO4mUjK4xUrqMSzRrR/ZXq2QDmp+vSWqqhPk/0KHqZRVGw3ezY7baDvtNmt6V3LumrOc7Ozri6WlHXDXde/gSf++v/AstbpxAi3XYtupaoARx+1o8p8Pi0OZyPvDkprajqWbrPQwpKjJHH54+pyoLnX36ZB+9/wOrsnFlds1wupLpnRd+nT+z2vPi7PnUKKIX3MVUZA7NKHI7Rij5JmeSK6fJgkUBBWWh7F+h3O977wdu8/MYbkix+9av8zm/8Bm63pUdRzuY0C8368pqiKAYgaDabsV6v5TOSM3dmk4thoTCppEgxFmaAwfjnqevdkIinwGB6LyfzeVqIGd4h5fc3n8FNQCQb8QztLMYIIz6yt/U8DbjO57HZbHlw7wFXF1c8Pn9Mt2vpkvtzHzzWpmC4aZjNGqwthkA0B61FMtXcbLf8/m/+t+y2O3abNToFrcZYlssDDk4OOFwumZ8+zwsvfoLLh+d88NZb3D05ZHGwkPY6Fdlt1nRdR7dr2e1azh8+QNuCwloODg8wphAGRF1T1hXz5QGzxYEEBMru3aenASTP8qGAGwXhPTBzChjcBJzkdxIU+n7H9aMPefut7/Lhh/fonczR9XpFVRYcHCz5/Be/wGJ5RNtu2EUlIGnbivmiKggqgpP1NQzgpDCGVXKvF3pfNjfa16rev4Yc4Cr6xH4pm7n8widgyXWUTYPfrNHaYIoyAVEOGx3R9ygj2shT3f6hJS5/VgK4vHOoZJ6X15IcCEsQCKiA66XtTSlNKEt0YSmTo3voRZfbK9E6DSGgQsA5CD6CFyZIcJ6gWqJ3OMR0rYAkmZDjhqfdFz0WytPeE/J6Dex2O5qmEXNK0vMNYuyhcqGY1IEzAFCkolUQR+vgIclBAGhKtJLkQxlFNAXaNImr3xFch+s7NJHoOmIQINy5HtcLsJuNk6wx6LIWxrktMcZSVApMMvxVWbpLpBBMjMncq6eoZqnAMEngnhbUPjMAk1yHgmRgM4K+AtTJV09ruRcQV9bZ69UKBTTUScc/acKrpwPDMo4Ti95YtBr3DpjILWhN3/Wi5RugrCqqukKZYi9GyHPLmPHvR+63xHLGJkkJY1KiGAh4ARiA4CYFD3K8p2m7diiItG2fulh6tp3nzosv8foLL7A4XGKsxVoxqdust/z2b/xjtpsNi1mTjGzbJHGhaZODutaavpciVFXV9K4bYn5FJjcIO3dIxhOQnQJq+VFiYU3v87inx715LENTjI8HrX6bk8FInGiCZ9A8H1NZuWE9S/HWtFNDpec+6MhPkvspgSG/1809MCf2aiia+1R8MMTB/0GuX2J2SVBtYTk6PubOyy9jrHR7BCJ931FXdXrjj5+7o2TOz/aRyy7/3N5PjcQgARCMaONaQ+96us01rttgo8gb/ODbfy7jzzu63YajwyO22y27bYvWit12w6ufeJWzB4+4//4HWGvYrleUKedru55t1/Lrf+tv8od/8DXaPmJNRWFrkVfoekpjqGyDVYbtZivjVaVOthCE3NE5iqKkUdLW7FwCXrV0/6EQIoaKeOfxnRR/fIjo2rDb7mi3HbNmzjvf/x4/fOu7PPfiS7Rdz9X5Y/6tf/DvUM8aHj14xPvvvM8br7/JF3/h53n84D7/+f/rP0NH8bcQI3dZp/pdy8xYuq6jPe+GMZ7ngw+ernVoBHuQ8SxsZ6U1fdfhXWC1a1FK0zvHdtcOwLAx4hFSFpblcklV1RweLfDBYRQUdTmAvACz2QwQIKnrHHXVJIN6aeWXDoyx+KRuzFOtxXNJGU1AYgzpbgZrBHivyhLaDmwpLG0t3kFlku/o2yASQT5/hhSQIj4VwAOzpqQpC9IyzrZvKUzJ4nDByQt3eeGlF7GlkOes0fTei+wXI/bwTBzD5M0xaRxihqdhPoDkX+kVMabcz1js4pAmeog9hJ6gd8ytZX19xfnDhxzfvi1Gut5LnGbMAKhP5YUyERGliEb2bjWQGooB/AeRglIJFI0IZqMT+ItKpIc4nHZa//M+lL9OhcmM42iFiKzt3weTC9Z5vw9BDN9dl3yZekLyF7DJZM8UJbYsB6KI0lqkURRAgQ5J+tF7QvCJxOSTlITok+d4ZJrLZPB72nHrku42aTyH3qNNIeRQLdigNtkANaRnJ93NMck8apVa7lXKzeNInoqJlJgS8AG0VQkcHrA3GLqoSHkLSJEebSa/G54AkKOkyRhUk+fGzQ6lJ3FWFAQVKMsGt3YSZ4eIMgVlNcMKeycx3tUwLv5Zjp8YHL6ZdH4c42GsxmjQmrJpMM2Mt779bd76s29Ra8Ns3mCtPLAYAyE6QpBWplorzh/cFzdfLSy76IOwGEgyArEnaIfywtqR6oaWS7OpdVJLAGqsFiOWiZncFOwcHlAGRidVnxiTXm2ayPrGQ8zrZdYNlYmp0mIQEtPIj/ox6e+MUclRNGm+5WQ7Mjm/kADxBIkPjGGh/09b3acglujBJN1U9oGpLDSe9en63tF3TjYiO1ZEhC0GICB4Zmr3vWezableb2hbAdXGZFyuQScGpbT9yqTWeQCH8b76sO+0bNNCZY1NrfYxBQV9cq82iV0S0vvqUTeasZ3BWitGJt5Le6sPNE2D855tu+Xi6orddsuu7SmaGX/zX/lX+Wtf/jJtt+P+++9RGE1VFWK6U1QyFibj+1k8RlDxySLPzSA+yi9BScJobEm73cp9SAnTyfGxaB5Fz0ufeI0HpsBtN2zXKzzjOlCWpTibpnaVbFIXE5CUdQULa3HBDy1jGdBs6krGgdbS8uo9s5mlbmY0swVEGcemqvjSr/wKZx9+yAc/elscm72nrCraXSumNYVo6YruUxgCnq7r6bpeWHKJoTUk9jnJfsr9HOZz2nxj+jkxCoAWRimGoYI8RYXU2EokjEa99zwyE3LKHMrtsdoY0R1KG51iAhBOAiBpIxNDj77tuDx/zOOzMz784B7OB5q6oWlmdH1PwSg1s91suL66kmeY2JXGiM5xXZV0bcvV5RV90nyTQkLNbD5jNhNW6mxeUdiCo+MTNJr7P3qPmSk4Oj2kSCxy1/dcX17S7nZE58XEbrNhsxVzjqZpKMuSoqxo5jOagwWnt+9w9/mXKQ8OB92tjyqo5d/9JJXTn50jDvNkGtPeDCZuFvGmh4oavCN6OLr7Ir/wwif4YshjO7Bdrzh78IC33/ou//R3fo8vfukXuP3CXXFV327odxu22w1FEB3voIMEnrZgaqM2DGu1v0ZOzynvUVMQRDQ6BeDouw5bVmQWhAZ0VROLghh6LBaiZ7cVMNkWpQRK+QSmd24PIGcSnI0FysViPhRbgaGVLfiAx6Odo+s6qsKKfnFRirST0ihjCEES0GFfNnEEhGIKZl2PSntojBD1dGw+BRTkybVYDb8jaQvmeSpMTO86XLuDVFQzxhKTo3L2WgjEFNMk1kR6R2MttqhQphTjPmMxRZkkOKKwgvsOFYVRjReWcNe2+L6F6BMLRaNNhbEFtixBGaKWtjxZGzNoncdqDn4VKibX5+CJE/+Cm88yP89nYi7HTHgIe/NzZNuObBIxUrj5BgqlRYIjKi0AZoyDvUOOD/McCll3O8ezaYzEyXwc5kmarHnPMNpSzUUb0xrLFPjN5zx2Yu1LSohpUjqH4Ol9IGgDvqP3PW2bkubQY5IkVNf1wrISVRu6zuOjpp4t0CFw59Ypp8+9wEuv/v/I+9Mny9bsvA/7vcOezpRDZVXdse/t2923G42hAQKCCFAIUaIJSVR4YITDYdlhf3D4v/AXf/E/YTnCVgTDYUq2wgqFLFqWSIoE2QAIgGA3um+Pd65bt6aczrSHd/CH9b57n8yqbqBJhd0F7Y7qvJl58pw9vMNaz3rW87zF9//sO/zJN3+f3W4HMdLtd/R9jzWWuhaZKeenPVbaqRNwFaWQRDJjFq/rNAecH/fKaKTDMSf0Ji9mIYx7ekiyTfleHrKoD7f1cahGUCoRN3wYx7of9SD1+NrDjkC4DRypNJYm5rYwr6bno8avz+8TY3FaqamtOQHhEXA+MjgxowxJZ9i7kGQloBsCvQtJE3bOK2+8zt3X3kSTdK1JmqbGphF9EHs8N09fnn349rWMP/8J+8wL3+NWnjwV7mRe+rRhLlZLHl4+lQIfgXa3xRpN2yXCjlJstxs2my3NfM52s2PwjuurK/7JP/yHYpSmSxRxLMYoazg+OebevTPWV1csZnNKaxn6HbO6pNCKtmt59ZVX+ezhQ6wxIwPOuV7G2iDma7YoOb+4oGlqurbHe4dzgbbtmM9ndEOfAEQxKHbeY0yJQtFUNfe++jWurq7Zb7YUZcEHP/g+LkS+/NWv8of/+B/x3ve+x27fomPk0w8/5NGnn3B1cUFdVzjnhOizb/EhUlVVkrgRUsR+v2MYBo6Pj8e9smvbEegqy5Jh6PFedHyDc0IOGRxuSGZTSotZm9HM53OUhqaqmM9mLBbSRaGVGOuVZTkWobQW4LeqKkySTSqKJPWTTUJVJOAp9NSBB3F8j+mQ/OZQujF4uZ8xBNp9y+CcmPrJokQkMbad5Fd1XTPre/at6OQuFguRenM9TS1yFs4PRAxVXdLMar7y1Xe598ar3D27Q9sP7PYds9lslGPUWiW9e/XSFHZST7n8V7pXRMaC1086bhMtAIytULOVeEYA7fUzojHMjWJzdcnTx484vnOGrSq8c8nQzI6AbIZiczEvx26oTHYSsJIUH6Ij2txYxImk/SOASSZrgg0lc7cgTNmcS0alxGsj5wkxJmwlySOkz1c5Nkx73dANuF4McIdeOnlI3breS54Me4qqom4abFFQVDVFoZHiiEIVqaAobcEoL/dNo1CpSyUXoA41tn8aiWrMH5LRpDUW17dJJiWVAIIHbQgxYKJGhRwLpbuvIzEzktM90VqTDQHl0FO8fZizk7SENUyMYTPFdbfwt3S1I2grb3EADKfzIj4/Hp/LVQU0Iwy9xImJ2OGGHmyBrZpxn/pJZL/D3/1Fjn8l5vAhoHpbD+vw99lMqe97njx6zPr8mSx8xhKHITEGpMo+9J6kRsDV46fS6pFAJRcC0YjuWl1YynThWmu0kfYcgxZxcCUtpVVTC4086RIaLci/MHqnxPTQNO6wWmHtRLnPCXoeVFlvMA+GkO6DTzo/+cFnTcSQNH21mjaAPEBiStQPNYUOK3Q+Znp/bpub2vqfezZqGvwxRtGoTmU0eRQTmzjEpHWDVCiN1eNrpmeqCEjC5pxnv+1Yr3fsdh2989K+pGAEgFO795CCaklM4wiWxRhvGO+NRnTIs8myByEEGKY2hr4ngYqy6A6J6WhTC4T3bmzh997Ttu1BIhbpup6Ly0usMWx2Wza7LbaQTf2NN96k32z5/b//32ALw/1XX+HeK/cpqxptDDGDbweJ108rjvy8HtNieyCA/4I5DSlZIcg8KAuWR0c8ffyY1998J1XJACXAATHy2jvvUNQ1n/74R9w9WorJUJp70g6Tnq1SFIUdTdQKW0IyUdA2ic1XJfPFAucdfddTVZUYr3kxfyzKkiePHvGlr7zL4vQsBVGOp0+e8vknH/L400+xMdI0tRitdb3olw+Ooe9p9/vRvXxi15ACSA/Y5xbW/No8pg7bTnN1j7zewY05fPj6nMQBxFxLSj+LIeLJaxOAwpg4zvvs+prXCuJ0XurgWqZNKAEHCbgKMbBf77h4es6Tx49RSjFfLGiamYDmSuGdfE7X7tnttsTEquy7HmKkb1v5/KFKIJO0izd1zXK5xJYlVV1xfHxMmVja5WJBuVhIgIPnlVfuEQtZR71zXJ1fsLm+pm1bXCfPZ5/+lUXBVXgmGnzzOXfO7qC14jw8oi5nHM/mmCQtcBsMPPz6siSkt4+Yo8iD4yetPS/8WRDX8X63pawqtC2EzZJYswHFbFUxX53whS99hfX1BT/+3nu0HzzgjTffoKrndJsr9psrnBO3ZVOUsrcFwGissaNcj3zo9PmHgNKNtUWl4mnu+kigTmFL2v0utbRLkuSGAVtVdJ3MW5MYDDHNaVtJ0MvB+pzvR97HMvAyBv0qGxre7J4IfgLpZK/3BD8QI/iosFUte2/vyC7JArRqrBU9bx+yAYeAt9urc47v3mOXtJsP8ZtDGampoM64jx0+89vjOScI3vX0+/1o1CfO1EYK7W6QVjStyT62MRWHlREXdVuWKFujCvlnyhpTVinZEJdtCUg90Tu8kwRi6FqySWFR1diiQqf1XNoO9Rh7gDpguuZrYnw2wrowDN2ewyH/QnDlBgL383scnuHtNWl8za0g/jkWyQGbVXLASTohy4jk9/FBGHYZeL/5ORlYzp13iNlT8JiyoCxr0a/P8Z+yPzW+OZRyUUqNUhDOOZ5erXnl9S9wfb3BhQBlzdFyyeb80XgyhbUCICWZkbIuU/u6xN296/net7/Fn/zT35OOPRWotVx3OWvQ8/kIbsYobPWiEDaSnIsUj6RjyBy0aVuMNgzOc72TvayqKqpC1hUtS8NzecFtj5XDI+cRtw+FJN3aGGHqMbF/8zOZQPWbEhA3gKNb+5rPTKpb4ymfZ9YHv10cPXx2UpAXU+au9wxOTMYGJy3BY3ye2p198GhruXv/Hq++9TbNcpW6WRS+78brzVd++9zk6m/vZP/9OW7vS6hJizpGTdPMKKua9eUFNipiMgas64bdbkddN1xeXrHZbLj/yqs8+PQhbTdwcfUZfd8LAaMfKKymqhu0MajCogvL3/9//5e8dv8OpbYYBdrU1HVF2/a0bYW1mrpK3hJBmKIGM3alGWvZbNdUVclmu+bs7inGGK53V/RGjNbbtpWOEcRoqesHilKkJHdtx0cffcLp6R2GQRjphbV02y3v//AHdH0/ahyrEOl3A94YmtISg7BeszeA5II96/UamU+ST5dlyWazwVormsQHBKG+7zHGjDmhGGOHBHALsFqWJXUjpnpFaThariisSMyVRYG1Bu97tNIUVkDmo9WKYRDg2mgknyntiDdoYxLZ7MCoVwkrNa+deR5Lh4Mfu/Ny/pAlJbQxmOST5F2SILCi7TwMA0PvWK837Ha7sfBTFAXDMAiwbQyz2WwiWlUlGM27X/sav/xrv8qTp4/46MOPUdpwfOcuRlucDxTGjl47LyIe/LwecdQTSQWzBMJl0dAXrY+HscaN36Ex9RxUpFGANvSbKwYUy1PNdnPN+ZPHHB+fUq9WhBgplEqGvzmOzMu4FAR1vo/eQwyjtnvOZWNMsbufAHqttRiP50KtmvYe+YzcjSY5YpafymB0TDmkUma6xuAZesGjhr6n70RrO4aIsSVVUwlZQ0+F1912K8UXSN3aVkwpU1e3iokGkGPWHO9akZxTOpETNZggxagcizvvnt83IiOOJrC/x/c75EdJVjQK/AyMuT2pmKsPinxKC1lVhQl3Qhnx4Un3JCKgfq4jZLNfmMziZQ1/wbiLssvpg3hdxuLzL47pX97fD7Gl26+M3o1+KArBH6PLviuFjOtUdDrscv9JhKE/7/iZNYcPv77oQm6fQEbdtdZYY6gKQ/SO5dER8+WSzz/+FDd4fCmVanDC3gsBP0irW9/3OCfgsC4sX/raV7l6+phoFIXNukgKI7RgCIGgIkUhG6G0r2uyJEgIYRy0hwvx7ZsJk7lG+k1iP0olTzHJS3jvKRKApXNwnwI/EkNRJqJIMRwmg5nBc8hSnib8JMkQokxEOV8OfncrsQRpYUmbRrwxLjPBPbNuVTLOy5VKUrviTZZkRNF1jqvLNddXG7p2EM2aqA4SchnqWrvxfITZnJPCSQPNx+neSRItFQGT2m6UUiiTXSH1KJyutUepYdRA1drQdQPGZFDdE6MAGG3bEaNIGvTDMOoLF8pI8GNKZrM5Jycn3Dk9QQXHnaM7rE6OWBwd08zmaGtBScvA4dB+GYGm2xXRP+8abiZFhnv3X2H9ox8LGKjNyFApyzLpwSrqxZxX3nqTfrel6PsESsr47tqWoGSRb/s+jc085qGwBaU17NuWfhhQ1mC1gSiFH9H4kiDKEymamoeffcrseg3AYrVit7ni+vwZ+IHZfDkGV30nldD9fse+bW/dEwkexAU4aaCSmIvx5rr3nM7qzTt8477mJPAmuJGYg0n2ZfSnJKaCUZa0UJRViXcDXSctcyLVkNnMGSAW59fMgnzh+puOEMQQcLNZc3lxwdXVFffvv8p8uaIsK5qZuODutntpqWsqylruw+AchTHstzs6ayGtE8YabFFgC8tivqBuGkxpmS0WmMKyWq6YLVc0p6ecvPIaGFiuFoT9hm23Z3u9ZrfesN1s2Kw3rK+vccPAdruVtYCI97IW7nc7AQ/LkqIR5uTV+VOW9+9jy8nB9yZw9tNba1+GIycUkFgP489vFXbS/1RGTNT0BtqAKRTr9QX1bEHVzNL+IfqXwkQ0RKVYLM/4xm/8FkMvCVZTizxAiNBen9N1LdY5irKiqI1of0UvLXC3xnr+qlQ2P0sDPk5F0ER0EPOpEDBWGEhEYfH5YcAWFVZr+qSRh9IUhey3krwGlL0JnAo7QiLyEDxuGATwiJndJDIYIUQUU1t2BojzZeRicAiBqprTDx1lpVCFACjROdEddg5TicGPBG8HxrJIwK61JqpElTwoCkmQehhMqhuvyYd0DOSHqw7AVTlnrU2aCyZ1LTiRtEhmkgQISJurskk3zQg4p4oKXQowbMuGbPTouhbRFnZE58TFeuhxfYsiYm2BtiW2KMWQRYnmmkrXcCNujNN4yPdkWiNT4tu3xOBAFynRmYDgl63YM03BFyWkcUSPb9d/RvAQpGEgJVtKSfuj92GMn2KKZ0cmChIG+xSniou6FxPjIeC8y1kQoLGVpSyrlDRO+9uhVFnWBoxR1pfMkMvxnTDiBaTp+555WbK/vMCoiLIldrHi8vxcQC9y4qpxCYTUWrPd7lmdnOKSvFD39AnKORaFAWvx0aX410mdIkSJraP8/dD3dDnJdY6qalgsF7gQwXlC7Dg5aZJBnWY1m/PmL/wSZ/fu0bUtDz74Ae3VNZkIclgIzkmx1jf3lxvPOt3820VKFWHoO7xizA3yUxe9xwkg9iHQDp5meUTX7dFa4vJwkG/kOSFdgdOeNxlf3xpHUdYiYpR7pzLLXDoAu26gGwIhwL5tRVrKOVySt+uTlitKcXRyxNmrr3D/C2+htJV4Lka6vRgPHw7iF87PtHS9NOzDW0n1DXD3L/j3LzqyTngIma0tRZKyqkW+MIohaz8MtF1LjGKYLblQwY/f/5CoRfawd47tfkdpLE1psUZjTUFRl5R1RVFJkbU0htg7mrqiD30aMwVHqwVt23P37A5FUUqxoGulldto9qEluiEVaYUx/OjRo1HL1w2yjvlkSmWNwXmRatjvW9nalWKxWAmAnLxjZvMFX/3FXyQMPd/9zp8xDJ0QqGJEGwtFwb53qJRr2KJgcJ5hv8V7T9d1NE3Dfr8jF6faFNsXBz4ERPEWUUqJUR1iuGmtFX8AIoXVWKNompqqqVnM5ihkXjZNhUJM9ppGirvZqNl7T1mKyVtZVhhtsIUdc4WQmJ1aq2RWZ0X3NURuT48Y5X3LsmS9Xo/nm0HkOukK+7YjalkL+r7HluV47bmgo7UGN3Uu1rVcl7UFgxvQpcXWJe9+9au8+/Vf4B//o3/E+vqS1157g3uvvs7Z2X0S71T2jzjpyb+og/Ln+RiBWdLqpG79jr/IfJZija1mBBRKGYyRrrluc8lstqI0JZcX57yyWsm6PL435BMQfCLVevOaHIJ0ZAWRX4ghkRECI2kwRgipCN+h0cZQaGStsDZJGCqRWFCKEKTL++BCyQUGlQBzohBzhmGg33f4wYkBo9GYosQUBdVsjq1KbF0RPfT7HtW3zLRmfXEu8ycK7uN9wFiVGM4JUA0ixWRsxsQUisnHCh8IycDamizXyGiAOspwoEYsCK0TCznzwj0RI5SqKAiXDx5jGEFwlBJwG1A+pG7HSeIDVILG5L/HfVVLV13wPuVeEzP7cPy8cLwdxgDkIsHh6w4ItePfZVM5GSQSqyP3OUR8EK8P5wKxa3EuUCxnEqOkcaoO3+9f4fiZwOGYHtZhoH4b/LjNqhwTBJ0SEa2oZzW780sePXgwLupihuAT2zBIm8TQ0fUDg/P4xJzbbbdcPD3n7M4Rx8dLzEzE3fEe5T06BtFDya0fOhkYMVVU5GFJFSU3VuY2vwyo5vt6WOEP8SAgP9ANzpWd/XYnQZ5S6XMP3MZVDjTCmDC6VP3LGrxCiw9jK0cIUdj8KEnuUtKfA/aRgaSkTWX8OYgEBjkIk0GtDqp/+e8ysPuiBT+mSe8CdIPn6nLN1dWGoZck28ekcYxOmLwwWXRI2spBElKFQhsBiGPSZNIpQfTejwuBVgoX3aQlnIGzBCwQtbTFWYvWbhxjIztTaZwb8GnTlIBKHGr7VK0Wkz7DfDFnebTk+OSE49Njjo6POb5zyvL4iOXRMbP5Uhh2xgg4rNQNFtDLCDK96LgBLr3gmvLCDIbZbMlyMWdzfcHq9C6Q2fHI/fGR5XwBQ8ePPv6IUhva/f7g+UVxEE8FGa30CHY6P+A6RxysVPSco9/vGZSmLAWYIgr7WxuZW34Y+GS9QSFyMauTY7707rs88AOGyGZ9xdOn5yhjaJJ8QYxTECZfk/C+gmFwB2tZkpbQ5sa9yHPlkI0Iaf1IRY4XMbLH9wjT3zg3EFwUNnMqXkj1ONI0Dc/OL8YuBGOkKltXNToFsZnpK+YaE3h9OC9kuY7kzWxwArxuNhvm87kYki0WItlQFcQIcy16SiGEBA7D0PcorVmsVgJiO4+1htliTpeCUmMMdV1TVCXzoxVlUzNbnXD2yuvUizk+OJ49/JR+v6bfbnh2cU7oHFeXl+y2Wy4vLtnvd2Mb4NHREUVRjkyRzXbLdrulKivKuqbqOqwpuNfvsX45diy8aCy/qCDyssxhGbOJYq6mfffwekLah6wx8ILLilGhjaWqSsLQsnMObQuquhF9V+TvDKQgqqBqigQ0e6rZiqHvcb2wyvr9DhKrvyxLKCzKCvszt4pltkLWzAxhYu3GpE2LUpRVjU/7fozJN8AWYjhHRCkLQ08kYpSBogRrcEOH9oHoxAQDa27Mu3wbNBEVPHiHT4yh3Lap40EhNO2H3sm5GWNHZ++oIkpbqmrF4mTG+vwhcdhJa5uS/YwILkRpxY4CWtXaoKzINfihQzEVpkcIPRWQYwpMAUxRJO11mYuZ3SzFaj0mOEppgndobdBGzFB0UVKUNSiDCj0xSGyUg3FJFLIHgiJqi7YFumgwRY0pZvK3MeKG/aQvHAaiH/BdT99tydIC2lhMWY7zL4xmHQegcD5UDpBfNPckcRj2V+wun7C480rmhJCD3huvfgnA4RxIvggklh9MQGE+Dud1BGn7jHECEL3HewErh04khVRiZMcgzsBD8GORUbTzRbJIKbBaixZwhLKqKes6/S4XVKbz0yabfh7IFsTEdI9RjKu8J3rZP10uUBAIrsMTCD6wOT+nseCdgMghQvQi/dAHmTezxTHeweCdjBMNZVmk1vGICuIv4lygT87i1hbsW1mDyqqmbhrqpub86bMkQSVEhaKsMNaybzuayhKcot3t+fTTB7RtS1kWHC1moumZZM1u5wA5VrldHP5JxXZZ5+TzCV4KPmltzC3aanz+sia4YSCakne/8Rs8+vhDrj//iOz/kT8zRpEY0Jk8kdet4J87p0xSyVMukuS0Emu47x0hyLgaBiHiDIMf71v25ggxUFUV9155ha98469wdPZKkr+C6D3dfs/Ryey56799T/K3L8HM/XOPF8UPf14h+nDsxIM5F5WmbmbMlyt8gHlTC5mCxA6NsF6vR7LU5dWGR0+fUc/mRK2p6hmFVgQ/0DQ1i9mC+WpBHxwXF8+Y1RXGGlQI9F1AFQnkUAHne5bLGXU9Z+gH+qFHsSQEz3a3wxqRB8zAqsIQhsy4dUkyTjoGlNZUZUHf9cn0GdCJgBSvmc8XYnipFMPQ0+63XJ1fIDiSRyswaW9v2z1KGXxUbLd7bFmJd8nQs9/vx3tB6rQTcocwiA/npFZqzIcPNU4VUBYFUQfKshANf6NpZjVFIXlzWRQoJGcvCk2IIn0neYOiqspRYiK/b+4ajlHAMsPkDRKCk3tB0joX+GfEP5SKI/PXJZ+W3EnbdZ0Q6WKk74Q4p40ZWdIZLM7X6H1AaZm3Y1eDgqIqxSi8qlgeH/HgwQMuzi9YzBuKouT+/dek8IMe2ZpGS54PN7uVf56Psc0+kx9I+2nMP/3pZJEbxJL8d8pQpBZ+hax9g3PEoaWIiqbpCX0vhVUCxAlrEoxmSO8WwSWwMYHCU8E3yDgJEWUMhbJEpdBFJV+VrOH7/QbtPGWd/D/y70D2mpS75thgHJvIXHPeJaZwl4gTAVtabF2h6zllM6dKxu0B0bwd3IDve9rtlmJ+jO/bUaZIqcS2xZDSddAKHQ5IAOkhjCQrLUBtDNLLJMxm6WbzUdjLMUaskfMYn5a1HMZM+TkVRZH2QfnZ6HCgbsos5kK6em5DmhDc/Dvvh3QfM/SpUgwP8cZOpqavB4VapUi+VWN54kb0qxSHI1W+jqclMk8imetQfmDoWtaX18TCEJuSuN/Rri+oV6ep2+Twvf/ld9qfDRw+ABMnds7zNHxZHLP5WiCQpAa0tIM3zQyj1zRVjdVKmMI+sPddAoaHEYAMIeCjOJBrJSLdpTW0uz37QqpstrRClYjCMC1rYbxZY8YFIISQJiipCmmn38WI9zGBwwbBsTyQ2U3ZOE2J0PuNe6ATABMmcCJ9xiGTI7MtPHHUx5SKoLBBcjtBzOeZ7qc/0EyRVpLJKTmObSq3EoqDBe+w/ex5hrEE/SgByceFJSpikAqQGAwEtps92+1OKpNKFhyNJaIThT/rLEZUUPjgBFgNajQhCV7Abu89MbPI0v2V6jLpeaT2vzTJQnKh9INoYNH3oNTYwgCMG6gE2LI5Ds7hghfAwmqqRtrSl/MFZ3fvcHR8RNVUHJ+ecnx6ymK1pKobbFELm6ooRsawfM5N1+mXhb30L3dMSauMaRlotrA8+ORjlkeneCdsJG0NBHj86QM++eB9wtAJ61BLUOu8ox+TWp8YOIa6rgiDom33OD+kz9JiDDc45vM5+/1edGjjlJwKOKuSJIWlsNIOd/H55/yTjz9ms74kDI4vfvFLaFOw2W7okhtxBqi6rhsDSB8EeIsxjC2pEqgpdDSpMnoQXeT5dfDFhzBqN8HNRTkevF6CPU/bdqJ3vevo2n4sSDkvANv6apOAIEnQtNKUVZlck8VUb7lcMps1GKvHk7mxNqdrusG2S6/xQYLGrOG9XK2ISpLGshYwxnnRsLTWMgwObQWU32+FpZIZFIvVUooAwHw+p14sKGcNx3fvsjp7BdBcPHnK9dPPGfY7+u2OzdUl7XbHsO+4vrpgu9my224gRuaLBacnJyxXqxToy32z5+fs93sury7RxrA6XrBYLtlv1sxWZ2THdwUj2HFjRN/ap16WQ9b4SSPsRtCak0zARKQlWgUiImkA05wxpsLOCsTAT43JlItBzD61GU3P8jiRWMhgqhmL03vyuVrMXvb7HZot0c2IsxkqeKn++2T6oHSab3IN2cE5pkJgHBl5g9Txc9s2UljEJ43V4PF+QGktBilOmDjGWgFnfT8y56d7NqKQYpDjHK7rcQkczhpjuRCZ98Zp/lgxU9OGqDW6rMAU6KpAFRVH916n312yu3wKITGno8cPLWFoCUGYYKo54vi1t6iPzoj9mhcNvRil7fzQcTAcyElMxd2ftN8o+l5aT01ikqAtSotpGTHrmN7sMsp6aOgCZQpMOaOoGhkfMRKd6AlH3xO8gMzRedzQCUvZWsq6QReV7PUvaHM/vMbD391m442AfhBzOtfu6HcbymaG0oUYH74QUP45P3JC9FPWnNtA0o3vlRRPtC1QyrDf75LE0jACjBkMkLbQgXa3T8XxSFmJyWRVFxgrRr8+OihEV7iezYH0Hvl8XwTqZ43DNIZyl6TrHS70OD8Q0NiywYcWFYdxLgWtODo6YX99MXoNCAnDsd51lPMjVqdz3NCzubwU1o6RgnI/CPjU9/0oG1aWJWHoCdHjwyCgeQx4N7C/btlfCzOzVIbaCIPeJKNMleaCMOAUq1nNohZd1FwIDt4nVZSbxcZsUns4ln8SqSIXx3ISnIvR0xyOKXeYWspHtuFux5/8g/+SsqpZNJWQKw7m/kEKOuUCMZ/Xrf1eFt4xZlGkXCMkpmfyesh664frg/OeoRevDqUMq+Mjvvqrv84XvvILqGREF73j0WefMl+spFWX6X7dIAhN0wGlXh7m8H/Xx/ScpkMp8XHw/SBrdlFQNQ11K2Dg5vqavh9YLJas12uqsqawPWVZ8zv/1r/Nv/HX/01+/KMf8v4Pvsf+4gK3349z5e233+E1/wY//O53uHd8hg4B1/cUTYk1IrngvEjR9P1eunuxuL5jsZhTVQX7/Z6oFNvdlrbNYJAaWapd1wvzryzoW2Ece+dph4GqrNAJVOy6VooYXsy3egLbzZoYAlZrstlUjJG260BpQhDmsPOB3X4v8gZuGO+hANZhzHMzoJplNkKQgvluJ+ziIoFdYx4RI7auWC1XrJYLfHREBXVdUliLUmKGbZToCBdlRZGYwcIetikXScWjhAcAY2FZDMnCuHZoLRKamVSWCzAggHley3PnYSZH7Ps9wUdsWaYuQuko8M4lYonE6jnPapoaldbLo6MjWZO0ohsGysSQfuPNN/m9//Yf0VQVi/mSe/depWoagrYj0KRiIEYve/DBc39pDoXgHDGtiZkrcyOle55McvMtMpisheBWGorEDlbGsLt8Rj8MVHUjnVWuRyXHP1uWDL1LhY+Cfugld05dbFmaT2I+iQOVKtCFMHireo5N5m/dMKDLkugjuwh+2OOdxybZkLwnyB5txj1FJ9YsB3sXURj0bpCijrVS5K9WK8pqhjFCJOnalq7rKIqCbrthaPe4pPe/nM+xhbB5tTXJVDiCP7jJGnTU4+dP+bDspyIrKuCpMjK+jDZYW9F3/ejTNe60SmPKitB1KedmvCY3DLKXRgHkVWLOP7cnPjdEJkD39ti58Tcq8ZUPgOHxzw5IqNPfZ0h4uv4M2mXSloo+lxrG+3JjT48i5RZ9h+t6uvWa7voSiopyvqCwhmF3gakrTL1g7Bz9Vzx+NnB4aFEsxioETDIBhzc8M9ZCIGmjABiKsqSezamaDaujBV3bSktrjOzb/RhUuURvnxi24pRKjNIeUdUCmviI85Gj5RFX5x3KGObzuegMGy0tZyFMmjNqcneeGEwCxgrQKNVUYwzOHbCE0z/npbohm4FULg51hCCzKGRQynOe9I5fpM82tp5rTRjcmETkxDwDk5ntFIIscjEFcxGVjNlu6orcDES58XOYgsrMSsiAQK5KBeVTqUzTdQO73T7dk4hShqqqwEh7hRiKHd6vAMHgXA8aTKHHZ5n/5SpzvhdN3YzaSnkkZQaajhHXi5EJcWLEZMbDYSVTJdDYOYe1ooV5cnqKNYZmVnN8cszJnVOOTo45Pj1hvjqirERv1RgjwVlZiaauMpkvM773y3xM+50sYIeLJhwmpSJ+H0ZB3IiOnsvLJ3z+4COMrvnge+/x6OFn1MsZv/ybv0m3aXn65DP21xdj29Omlep2iJ6+79ltRCpgt91hC4uxhuOTIzbbDdvtPp2jsIOJuQ09UhQFVVWOAFkGR8sygVdaE4OiLEp22x13Tu+igMF5Nus1rh9oqpohtbRvrtYQpTAxDKKZnRlZE4ASxyqrFJSERTC2pTsva4w+SIa4vfncZAUFZDPebnZsrtcMfTLF6IeUnEngPPRubIkTRs+A0ioV1hpQsFgsCIPH9QOL1RxbGClSjfxDfUsCQ6OYkmKR25gSeDcMlHWNKQ1l0zA/Oma9XuO7HhUiTYj4KC3J5VEp1d4Y0Ia0rjd0fU+9POLOa69zdPceYLh+9pDN+TntZo1rW1zv2O32bLd79psdV5eXrNfrNPc1p3dOuHPnhLquU5tlyTA4DIo7Z6e0Xcv5+TUXF5cYHbmon7F49JA7r75ODAaURambDKrbhcwX7Vk/30deg54HkfJXRSCEHWBRtiKSOjWiMFNU0oAd9xUixgggMnQ7Hn/2Cad372OqGeqwuybFGVFZTD1nfrekmC2wVc324gmh3eNCIOx3AjCXuRgsWsIp+gUz7YfppMd9IAZhD2SgxAUJliSpkkJt8MJINWUpxagEcOikaysFXk9ZlGNCpZTolzsn8UTXCkNCp9bIPB6GYUBrO95Lk1pGdVFgTIGtKmy9olrcoajnqWBZYJtj2HdYU7O5uhRwtLE0y1Pq+YKqmVOvTjG2RqvA9mr7HJh0CO5kRgUkIP1gjDrnJ7DqVmEgyy4Nbcsw9BSmINBjbEnUYqCHyYVbd7gqoZRBmVKutaxT8cHjhp4wtBB6YhiS1rDHDz0kxnBRVphCNKxH453xvKZrPCx25zFwGxCVXyAxm3eo4PB9izMGW2VztOdBlZfiuH2a8ebvfhJ7Kf9c9EMtaM3l1TXNbCZ+C1FYSwlqZOh6urZlu95yvb6mbTtsYXnjjdd4443XKKpCCh7KyJguKzmVAEVpRgIF45op+0ZUoI0lu697mZRSfHIQlUNcWmQuZc+QECJeaY7v3ufi/EpY/5kEIX/K2auvEpRlff4M14mciE9MYX0QH+a4Lq8Zc10zr+oUO0/zgGTSKuxcmdPWTK3e4z6Q9kljNVYZsnGzSsSHw+eSh9kU678Y0M/PTMC+SdPRJG30HPMfgsq39yGlYdbUY3E6E0BAy1JKTCFHBtIkRsv5Rz6HXBQWaSYZcoPzI9vTOccweIKPIztROqf0yFpzw0A/DPgQWczn3H39C7zz9W9IISixvB5++hGEQNPME+8pg9A/YW6mH79srekvOn6W9efFcbYcef03tuD45ISqari6ukYrxWq1Yj6f8/jh51xcXBC9dLOdnN5hfnzKX/ud3+Hv/t2/yx/8/jdZ1iV35nN++Re+RlmWPL045/0f/oC3vvoV/vZ/8L/gW7//B2yv18yWR+jUft40+gY71XuRbjMa9rsNKIW1AvwUxQq3mBE8bDZ7yrKk63pcIlO4IUDU7HatyBpGJfF112HMgTSLkm69ED1dJ3IPQwa0tBrBoIDHDbnbCHL8k8Hfpmlo2xatOSj4yJoxDAN1LezrmDoBxo4mraXDzVpmdc181jCrawG9lcEUMjbrWuQaqrIU9l4MWCMxeJ7nOW8cu10jo3YyapKnCUEl8FtifJGG1DeKMjpJKuY8Ol9nluoRmSrRTVZolssl682Gq+zVMUghPktuKK0pEzi22+0wSoDiupLY+vT0lMcPP6fd7zm7c4fVasXd+/eJ2jL4gLJTvGGSmS78ZZi7ooULqcA28jXjtFfHFB/l2DvG9DxVMnk16LKhIMdpYPC00TH4Ht+2BOelA8wNKBQhvZUOEs9F1wMqySeY1H1VIMYQEVOW2GZGWS+keyA48Z6KEVtKbhQMgrMwsXFlfzFpvE1yDCpIt1AIARdikpcKFNpgywJVFJhmTlWvUDEw7HZcXz6TWDBErtsugXoRWxgqG7GlpqxqoinQNrFWIxiVyCnxAMsiTh1lIch+G2M6rwi6IAwObaU7JnZeAHijk+Gs7IkhRkLXj7ms0tM1xsP9NMaxaDRu3Om4DRZnXoZ8rxm9xQBi6t5TE4A81haee88X5f/y3yoNOJHwi9Pvw0G8kf7lgoGPIicRhgHXbei2QpqIfmCxFOxKVYWYeSftatQE694uzv4sx88EDv/xH/xT/gf/7r9/48NvB0X5CKMTerpoQR6p6orV8QpbaDbXV7TXO46OlsQYuLy8lofvBMTJQWFd15RlwTA4jo6PpR3NJKkCqxn8QFFWLOYzyrIS4CtCVMI3UfoQnPUp8SKxjTJ76MBsIiXVWY84hJiAIwm2lIqj47cEaXlBn651aje/GQjc1CPTk+5qmiDjsIqRrNuXWQshvcZ5PwrqG6WpqmoEkg5dsfPzyZ+X2YJDarHJz8mYWyzwvIhphQ+w27Wp/SxidIG10r6qCpWAb9G3GXpheYQYcUOPc8XYfigBeQqWtaasRQbCB9GEdQHmy9UIkrnUth58qirHyZnZJ+fLyCTEfhh0a6UoSyuMkbJgNpuxWCxYrOasjlac3X+F+dEx1XzGfHWMKWo0Cu+c6PSkFob8vHLg8a8y0f7/f6Q7NoIRP+WVEWJORqIkTQTodi2ny2Nh7V+fY8PAatbg2o4fvfceV8+e8OTRI55+/oh931HakrbtcF7Gm+iDytw2yajhyTNJ8DI4nN2HrZH5LoGWzMP5fJ5cgcVE8OhoSa3qceyaFAQGH1iuVtJKphSzxRytFN12i7EWT6BPEjbCNhgwejZW6CUQPEgOYTyHwzEwFlyY1pibR64ipjnsI+2+Y321ZrvZst1s2e87domRf2hQMUlPuGS86IkKZrMZJycnBC9rhnOOwQ+sjpaUpZhmCMubG3uTxNYqMbZrZrMZ5xcCzOrk+jwLgbKp5XV2AzFQNzXRi7uzVZaSYtTLk3ktbYBRKe6sXqNZHdO2LY8//oh2vSEMLUPXsl+vGdqOiGLftqyvrtluxDzDO8ds1jCbNdw5u0NdixZ4rkQXpTBRlHKslis2650YInQNfdtx8eQpw35HOatE+D9XTn9SfvoSzuEYYWpBvw0oRaIb+PSH7xFdx/23vkx5dBcdClBiWtgPPRr5bwGIkLbBqLG25Iff/Tafvf+f8YUvfoU7r97n9Oxs1CYWZqi0iCptqRenlM2K5uiM7bOH7NeXKD/ge4d3AWsVWkthUYqPWk5D6RtzJ3jZGySoFQMVpUTvKxKJzmELC0ETtRhjZhOP6IWNkCyT5LoScJT1t2R/ENDVDwMEh7GGsk5a8kxFxRgkkbOFSCyYssFWNWU9p5yvsNVC7lsaW9KoZDk6ex0FrO55kZZQshZkCaiIwhOJrsX1+xtDUpGDzvQDrccEIubEJGnM3jTDuj24FYUtiYWwJ123hxQLRBTGF7I2ao0xBVGb8XlqNLaqU4dMFCmPoZPEJQwEL8Bw8J6ha4URowI2G9algFxY+znhkosYGVoJZDwEjeOouTixJRSBEEUTVZlkMJiMd6OKz03nrAv3c30cJCr5v3PzIJD5JD/5z0EkrspK2oHRPHl2QdNUsN8ya2qiD9hmQb/dsr68YLPdMl8sOJktePzoCU+fXnDv3j3KqpLuk7IgWpEtUUBMe3Ieb+Nna2E0og2ogFYWosEaATuGIRB6j5cpho+SzIToCVGJN0pRsHPiHxKdQ5tIYQxdP+CVZrO+xigF/Q4LKKPZOzXGdIdu5hkMzUBTUQh7VUJMuY/Z3yLnDoft3iMom95HfBOQZFZrjJlkmcyNPSLv+ZlgwfheL2LI5nGfv8/xdgaTDt/zdvFSI3GRVwFdzVMbesAk0HucY+ka8rlwEAvn32fihPcxxecDw9CPOs/exTG+DYGJReylW9C7BFoaw+LomC+8+1Xq+SIl955nTx6xu7rira98VRL94BDgRUA2zcQkPhzPN+bFX4LjRcWd2zHGbcbw+OwTmGCMxQ/S5Xjv/n0++WDDrK7ZbXc8efSYxWrF/dff4Pvf+TNKpXCtZxhafvyDH/D9736XO0dHrOYNjdY8ffKUo+Mls6YEHfj0/R/z2Ycf8eUvfolCW7p2T1VUQEQl/d++70YJAe+daNOnseljoE0Ar1IWZTVNPadtW3a7Pbv9niLl5yKL5nFuSIz/LuWvamL0WmEmB5V0lI0lS/9pY3BuIJtvqXAopeNHBv4wOIyR+H6xXLLfiQ6xSvc6M2ittVIcSlq+OVeuq4q6qjBKYbT8I0qrfdXMR3+PqhI/lcViyWxWpw4sM3Ye5/hGtv4EpGZWvAqjHGaIEh/4kDXchYzmk8mUdASn4vhoqBlGn5xhGPBOpCWV0njvKLqOfdvSth3r9ZrgI4UtxB8kSc4ZbUaZDW2kWF7qgtffeJ379+/zyccfc3Z2RlWWnN27T9HU4plwKKUYY5L3ug1+/Xwfh+twDp3lipIkqNIQE2MVQKV4UR28NoF1Pr2fjkmeS1lCFFmG6+sNy2YpxUtrMdtLkUTsOnwQj5QQo4DFOo2bAB6duuEsqhDfBq0LMUy1mqKqMWVJQOZESEWC4AYoLNEPqVCfDOrU1I0hQ/ImFuRz3KGNmI665ElgDbas0FVJ3cxRStF1LefnT3D7VqQz+gEIQrgrC2xZUjZL9GyGKSRnNDYZEGsgTNq/GdPJGFCMUWLlwFhMFFJiONgWFLqQ68keW6BEf9x7zGioTQLCJ/IhOT89GKuyz0fpbrm9T+eOl8NxfTO8ltcffKNufDcOuFs/UOPXqNLv8xEO49kECCez55iIGCE4vOvo205kfPZrKeBqw+LkjNnJCbqaY5uljGNt0THHmP/qx88EDv/JH/4B/+bf+F1MKfqE+WGMwu+3DglQPFqnQLOsIHhms4W4jRvLpVNsNxuqqpI2cx9pnZdWFiLL5Yq6rgFxAC9zu6SOzGYVi0VDaTSLkxOZJGQEPowPHhiBVaVFvy0bZakEJo7JamLvKa3Ta+Q2G5OdmxPgTAa/1cSYDamdN1WDjGJsNddqYg3nBSsctIGMv0vvJVURI5uJD+hcaVCKo7MzTu6eUTUNn3/yKeePHmHygPJe2mATazY/G5WqNEZr+oNF02pp+slta6IFmStPKumQCbMxpgTcWIsyejS9UwrKUtPMJJmT6tAcadP3SUfmwJFdT8A8SrNEKmNVVcs5e8/V5RVoYWhqpSlLM1a7AUJUDCkAyZOusFNrRd2UVHWNKQtWyyWL5YqirpgtFlTzJfPVimq+QBclKrdMaoVIbCgpAKQiwJgv3QLcbwd8P9/HzfN80XlPPzuoqkUPIeL6lllV4+uGrt0TgrQmzZolf/RP/imPP/2Mq/Nzzp8+pdvvJKHRAiSWleh5hVkzJnVFUSRGogDFq5W4HYvcgwAnIYj+VjaZ2Gw2zGYz+r4ns39yi5O1VlrErKXtOo5SO9V8Pk/B4w42Gy7OzwlK4aK0A4kkjMN5hx4Uq9ViBKkO/8Ftc8p8z9LtiqLLZF6QKObXOTewXW/Zbffsty2u91ycX+K9p65rtDaj0YU4Fw+pa6Jgs90yDD1XV1fs9x3Hx8fjM0JDUYrp5mG7Zg4IYSpKqaSTdnx8zMXlFRcXF8K6TG1nRdeii4LLi0vqppaguihSIDyxkWVOHEjuqMDl+TPOz88FtBkG6ES/7vr6mugE4N7v9my2O7bJ7ZYQmc8aFqsldVOxPFpQ1w1FVYpZGODabpz7s/lMgjCg6wY2Vxvq5oKLzx9y7+0FUVvG7THeZDncZsq/PHM3HbcxwShaVEPfElzP0fEpTz79kA++/2d86Zd+nbI5HYG966eP+Id/7z/HBM+9V1/l1bfe4ejuKyyP7jB0O9r1JdvzR/zpZx8TUoBlipKTs3u884vf4Df+2l8nGnH0DTFiipL58V3q+ZJ2fcH28gn9bksYepx3hG5ARYfRoluniwoSyxeEAZMZfsH7xDxNbXpkQr4UelBOksWE+Wsl7I1AfoYRlYAIk8AXCRK1JKUHQWA9W6CLClOWxDix+XJCacuSomoo5sc0ixW2rAAxJb3B+IoZBJVDa/vcnM+/NUR222smEf18qPE9DlkrYmCT2U6WwBQfKKXStnlzndHGCnMbCL6ncw7dtxRlhfMDcQSIBXQ1Vlik6W7LOhYdfbcXBkIYREoixRSu7/BukNZVYzC2EuBQaYTpcjP+mxgsSY8ZicnIsRIZLJ1A75Akh9B61FomxReZlajSs43/nYS//z84ciFWTdc4uJ7tZpu03qsbe4z8SSYPSJSpbYkpaspmzt17d3n48HM++OhjjldL5rNGwNbhKcE5jIbj01NWKzFjNc+esTo5plwsqJbL0YMikO58hKhvFp3yuYjRoIDDRhs8mv3gpOBQVEQF+8sLfDR0Q2S/6bm8vGS336OLEu0GhhDoPvuct976AruLFuWlU2C+WFAVJV3bsb2+Fq3zGG6sD5nJnAs+h8eh7v9hbCkkoQm4PXxdvqcqFStQjDHyjd/zfEfkbUm2F+U8t7vzbjPk1UHxSqk4AteHRWF1cG3d4Jg3FWFoseqQFfYTWmNzHpPONYNqQ+8FjHc+xSHCzM7F7gwOZ1Aqa19KwVp06Wcnp7z2xS9Jm3wUwPvDH/2Qr379lyBq/NBy8eB9vHccv/I6xeIYRfEccJ6mxOQm/5fgeBFp5M+LLTIgFdP6G2LEB4XRJacnZzx5+JC223M0P2JYDqz3O66HZ/zGX//r/Ok//+dcP3yMUvDRD37A/fk85XAwmzU084aishADhsCbb77B9eUl1xePKYuC2awQDdmoMGlfM0ZRVKV0f5kZfd/ietHaPJofibzb0Iu2sPcYG6jKmvnMsm9LtLas11v2+5bSJKJNCGgiRWnphmEs9gxefGW8kzzbq9TBF4GDQpUL4u2jE4mqTp0CWltUIZJ1s2bGoplLXBIcVhuGoadpZglP8KnbuES6pSwaRdM0ONdTFFbAGMR8b140aKAqCpGRqCwoKEtDWRdjvEGevzrnSjqtK0JoytjHOA6knUr02hPOIFepD+ag/Cz/zW63G/MbpRSewOA8ILnN508es15vE1lK2KZaKQprmc9mRGA+m1FUIkOhrKGqa15//VWWqyU/+N57GGs5u3uP2WLF6v59fGGlE1lFKVyObGFz49xelmMEhvNpRwhRYpKoX7DnZinRIAzdcQ8InqvHD/nwvW9RVQ1f+rW/CjHy4NPPuHzymPXlJb/91/4qi7OGXdlgqg3DfkMYerxPnevaErSRGEgbbCUdQUpLV58tS0xRYYukDw7S8db39N0e37VoAsp7+q6VPaQoRkkIfUuqJ8YkJxETalUYvHPsN2tCu08m8gZVVFCUQpooLK4fuN5ukuElRCdSrsYW6MKgTUHdzCjnC1RZMckpCHM/hphVKCVeizF58SSiQC74hwDqcO8NiahohcTpJX81SvCesWCUH1sUyReMaDKLKa+gc7mL4DDiztr8MeUWhwzjOBYylcwlPZXtJ2Jj/twDEPon1kmm2Dav8yEB5CpHszGmtwji6+E6wtDTdy1D39G3e+meO1g7bTmjWRxTLZboqkI3K6qjU2LfpWL3ZNN3ex78rMfPBA6T2+wnZeYXAiFyMpBD+qwWItUoQ1FWCcgowCsGF9jvO0AqFn3fi8HU8ojZbE5Rlaw3a+qqpLCiQ7hYzLl37y7NvEGpA4HrOOkLH7ZoKq2Ta/PEZM1VfDFFE3MqcV5POoUH4HC+HmG45NVmCvoEpBFJhpO7d9lcXxP7TjYKY8SFVeUqsRmDxBAY2a7KaAbvR0BbWoJFq6iwhmGQwHp9dSUt3xFi34/Mq871DH0goJnVtZjwqGlgKKXY7/c3QC8JRBOoBYmin0tnCYALbmy1j2miExV9N4wgVgbscsVylGlIk8ham1rcpFJVVgVGSyW1aebSmmBlgbx77y7Pnj0TpqEXl3miT4y0rFUsLHCICSzKYDVUVUWRmMNFXVEVBVVdU83nlFUjSbFS7HdbbOloZnOZ8Fqhg7RoayXPWmslxhu3GRDqZdsopbAxLlg/YbFQajJV03gUnvXVJY8ffEJM8i6qqinnc15/7W1+/N3vs7m45OrJYx4/ekKuEN67c5fFfEnTNJSVsH0HN5kkei9VepNchZ0LowZqCGK4MAyOqqrY7/dsNpvx97ldtO8Hqqoak66iLLHWYIuCfddSFoWsHds1VSF6vc1sxpvvvMOf/OEfs9lcM69L6qqiSAzlqb30+WD/JntPjWBdjKLh28xm9G37nFZhurOiM7zrGHrHfttydXmFVprTu3eEzVDXKfGb7lHf97IeElF70Wfvup6Li4sxUYwKdJpfooGmyR0EN4pDae05Pjlht2lZb7Y8fvyYzXYrbCXvsG0prsvGjMYKZVEQiJS2kLXW2lQNDxTW4pOTuRsGVAy0TuQuXCfPe7/b0bY7hr5nv2uFKe0cwQdWywWnp8eYwlI1FfWsTgy3alxhVYgMoUvFP0VdVTzre8L1hrqu6Hc7Hj94wNH91ymWdbrbU5X6cP37aWP/5/kYx9PBph+Gju31JfgOgscUlruvvckP3/sznn36Iffeafj8gx+xODrCKMWv/so3uHz6iA9//GM+/u57NPMlZ6++zt233ubXfvO3+PJXvsaDTz/l+vwpTx4/wnvH7uIZ3/6Db/Jrv/lXUbpmkisBlEGXcxanDc3yhP3mkutHn6L9wNA7om/RWuamjVHaefAJ7NNYbbClFGFRU6v1tOdOMjcwsfrSL1PBUrpqrFVjy1qec4P3DM7TdQPWypqvrcVWNfV8AcrIehODsGCTBmtVz9HlbIwGY1SJLc9z8/qn7QM5SItuz7C/RnNg/JqjzQPmX/68wwJPOOhWOBy/hwBU3/c0dS3sD2Nwg2LohSnuur3EE75AxQplBXgbupaqEdAbIAbH0G8EGPaBGFwChh191xGGDtlrLVU9S6ChFtBc3+S/3mZDxhiTZtqAHzqCd6lIWKKKegKWx04sud9aq6nY/wLW/Mswj/P4jamo8v33vsvf+b/8hzx+/JhXXnmV/9X/5n/Lu1/9+k+9FlPWHJ/dl73AeU4GR7NY4do9Q4oxjbUslysWyxnz+Yzr9TX7/Y4vf+3LvPXOO8yXSzmf/KSSxNIkAyCsW6IUXUwyGTRGNMrb3hMKy+rePZbLFd2+5fzJE9zgef9HH3B1cQGmRBlD6xWXF+dcPX6MLQp+5Td+nYePnmCCY3W0pCgs7X5P3HdEH6iUFma4kZZpmc8mGUD1lFqPbe9Th1wcO7puFnLlql5EXDncBw87+kRTf4DIaACrb8zziUxxSPAAxp/l/z7sOJNuMwGKbrKJn18vckxDijPKssBEher3WC25QM5ERQNY1oxpTcjAUipCBBgGT9d2tMnTAHLBLCRZujgCxTn+CslgaRgGaePVBfVswdd+9dc4vfcqkUj0gY9+/GOOj1aJcRnxbuDDH3yPTz/4gC//0q/w5W/8FZrVWcp7pnzxJZiyN47bhZvDn8NfvMD83HvE1H16kE3assD1nno+580vvsUH3/8e/dDxyv17HPuB7/zge3zvve/yu//O7/KtP/kW//yP/piPP/qYEGG32wrRQUVMWaBag1Jw594rVFUtY3sYMFVBU1UM3uEHhw+yDgtIKp2lbd9TVBWgMDCazmkjnVyb7YYQnPjReMfR0QrvA6enp3z22UNhEHvpNO0SscjHQG1r6f6BEVTVxjJ4IZANTszaCpvYlUrhovzuzp077JIZce5A0loJC9kNQurwk/laWZaUZS5OBLSZ7r+KUpwRU2dDYVPBLP9dJUb2RWmxhUnFWp3icjvKSBzmBON647N3AdLxY8RDRToPA24IKYeNDEMvRuxac+fsjP1ux9XVWkgUyWROKTWazGlrx61yu9txeXlJ1wn4KLKb4LKcjhaZPRc8br9HW8NiuaSpa+bNDJWA9bKuMUXF21/6EmXTpC6QXGw/XKludia8VIdKhfwYGVyHG3boEDGzBigw2cQrSnwaQ6DvB4zRoxlku9/xnW//KVePH/LGW1/G2IKiLPny176O/4Wvs9ttBf9p9zSnFeVsTb+7xO02ZDO2CKP8ljWWGHORXvyNbFEm9rAh+JZhv8e1YryoY5TiPgEfPdFHdGEpizoBzBJTS5ys8gAEcgeJp91thSgRHN4JS9/aClM1VIsF9WxO2/Z0QTE7OsMOPcZc0a2vKFWScLMWW1TYopHiU/IDC0HGe4hJjlKl+5nBUO9kb4leDPh88tZKw0kr8YUSPW+DtQVBJ+NomxixB/tvxpQUSOdaSsfRGqMFKI9JpkYerZCFRmCYW2uyknsXI2ijR+LJuL+SQvY4zfUcOU1vc+BHkIHmHOeriFITRqliQpRCJPiBMLT022t26yv27T6RPDzRiQxcWZbY+ZKymVM2C4qqRhUNRbNE64I+dtIVmLuGX3D8rHjVzwQO//pf/atJ0+/mjf1pC0ZmluUbo21BiAGrhNGzOD4RyQKXAhYFVVNJEmIrtLV0wTFbLSn8wGIx4/j4iNXRShbBpOuTz8MncNWqCRww47lMemAZTJYFWEAHkY8IuAPB+zG5SfQPWUQYg6tDkDUE0Wpqt1tc11GkCRIyG+bWw8nGXEBiNMvPgw/YwpI1hjNoVZQFJIDY9wNl1lqMAUegXCx45513mS2OePTxJzx58BF1OT3iEfQlB9J6BIdRhwmwvCbfs/wzCTodatBwkLR671NQH24AxPm8h6FPJgR2lAgpCktZFVRVTdc5UNe4xCi5PL+gntUsl0ustey3WxHXRwLuo6Mj+rZn6MXgwBQGYyzWFmkiFTIugjizxxhp25beDZTlDmtLbFGhrKHfbXHdDpMAY0lKDTHp3GglAbVSh2nUNO5fns0yMbF+ynEz0QkoP7DdXPLtP/5Dyghl2XD/rXcYihlvfflLlFrE9a/PL2j3LcvliqoqOT09oqrFPXycH0phK4vzPrVJK2wybNBGo00kBDFHkw2uTS1c8q/vu6S/1dM0tTgEa5vAKlm6M/hsS4sfnLQmewl0qvkce73G2JKibDg6WrG9vqQsSpqqobIlVV1Rl6VsRrcYR7fvk1JqVG/QKZAdWnFzHteV1K6SNwpJBkSOputbfBiYL1YUVUldC9NdJT3gzB7uu4521xKIFGVF1/Xsd3ucd2JOUlXYomC33lJoTVkYrGmmDYkpsdQS3RKbitN7dxhS2935+QWbyzX9vqUsK3Gwr+rUaqvZJ6PNqpRg05YSGCmlqKqKru+BKJI7MDKewyCFnf1my/XVFe1+N7KVst70arVi3syoZjXNQirXtiwpyhKQNbJXmqgNPg6E4KmrmrKoiEh74TB49pstl48/425VoOuFVIKjgB2ZOnB7rr48czfvXQffe0ffbtmvL9hcPkMTOD67iy3n1LM5P/7unzE/OeGHf/YnnJyecv+N15nPLKu33+S1L7zBRz96n49/+CMefvB9zp98ysPTM15764t87Vd+mdnqmK5tOX/6hO/8we+zW29470//mLPXX+f+a19A6QnIUChU1FgzY3ZUcXVxyfe+9Ue8/uabzJcn0h2TGKOFsSOzgKR3nCUI8vPxPqCypnyELGxqUjs4MK7pwQuAmYPQaf/S49e6aYi+Z2h3KKXxEazWKFtRz4+oY9IrrGtsWU/SETnYjEEKDX8eE+wQJB4ZBhCjY3f1DB2lIyfGKTGWeCLtKokte9tYb2QUHzBfJtatfG7e93KbvFHJxM0P4HqCEzM5ohiJGaQF0XuPsQUqCjNYBTfe0+gD3jvcICwGg5jm2aLGFCXd4CjzvUI9d/3q4GcxyPt3uw1Gidac946+a9HlMHZNRD9prY+DPX+damwv6RHph46/83/+P/Hx+z9EKcUHP7jk//p3/iP+d//7/wOVljZvuAk8CekAzl7/AqaZs7pzwWL1kH5wbK8v0ltHMVzTYIzieLXijbfepK4rbGnH5/CizhdFkgWKmeEcUcoIg8lYvDIEU3F09w6z1REEuPj8Mx4/eMDu+ooH73/A+uKC3XpD5xy7fctmt8cUNdbWfOHtt/nko48o+o4vfe3LWGvZXK8pjUYX4GPAIwXZvu+liGNUMomdfCcymSKDMhlM1YlhPhVUJmPorDucY/2RyRviaNbpkQJsBsZHoka6T/K30307vH+HYMlt1vCYi6hDabmY1iZ1sEblRD5LOCQge4wXSAWc6f3TcjfG5Pk+yTV7vI+4IbBve9q9AEs+mdJFJv+SGNw4JoIX2avBBQbv6J3oD1d1zWvvvMO7v/JrKG3ouz0fvPcdhnbLarXkT//xP+byes3pvVf4znvvc/7wE3wILFYL3vz6HFM0UgDTU4+EhNR/eZjDf5HjuS7Dw/GS57nSYA1d19OsFrz2hTf4/MOP0X1ku99xcrTk6vqa/+ff/b/x7/z7f5tPP33Ax+9/QNFUvPL6q9y7e8bTZ0/w3rPrJU/sHz9jfb2hTKQDm+aGUZqyabBaJBUjkfV2y6yuKdI4VFEMbo1WU/6phDyz3W0IiKygdwO7fQtKjbmdAKgS7/fDQN87YojJPFPgR6U1gxs4OTvjK7/wCyxXK1aLJdv1mk8/+phvf/vbeO+4ulrzxbff4qOPPqQqK4pCmLDHJ0cQI5cXF8KUjYGyKA8KOCEx9ILItSjEsyPlDMZo5rOGbDyvlKJupIN5lJex0vmkEhh1iB0cHoc4gHQkiYmjGNgr+s6N3bcxxRzOuWRG526YimY5CTEVhbbdj52RIcC+bWmaGW+8+Sbf/94PxNyv76kq6eYom5oIzJcLkWUr5LnpqNhvtqyvrlks59y9d4/9MHB8eod6vsBFJJ5CJ0D9+Tn6chGiDtZlpBu4W5/zwz/9JpfPzvnyN/4Kd9/8ErGo0aogg3tCThAJFaLgVLao+ZXf/B2WRyuUMaiRaSqZ9WK+hBgpqznRe/qixFYlYT7HDQMuyYdqo0cdeK0LSlsSrUiZ5Xxz6Huiz+SGIUkuOMFp0CgjBQ1bFGhtyVrVaCFvRqHRE/3kA+WHFjW0xMERBkeZSBJFPaNcHGGqSroC+oHrZ0+4vnhKaTVF3Yw5uUk+HLYoMIUCbZI8RCqAIianSgk+ltc83w2EbBQ5tAKG+oAKQnz0QVj4piygqanqRh5eZgkrlUwtb0o5KSVrCCoz2xG8LfiRZAWMMWRmiuesXH6VNQAkzha80gvmA2NOASMixmHJ5Kbm/8G4I8u/xZSvjH8w/nkc5dp2dNtr+t0VcXBUZYOta3RRYogjCcbUM4q6QdkSM1sSdElU4LoWXZQik/KCAPlfds7+bODwv/avo7WR6lI8vEHTwzrcBKc25Aw8CfCm0+QoqwpvHfW84tivKKxmebwc9XR90uH50mtvQYzM6oKyKITNmUZjZKqOAGPwGGCSi0gTZARHbgRySozm4mTMcOjGeRMkTsFg+nr7litlMCri2j12xCQO2EJ60hTKVcf84HM1pCgKcUtOIPZhy4lSaUirgLZ6ZAnEEMFDv+/YnD/lwx/+kP1mzTwBLDdZFbmtTpK6m0e+VjHzyWL6Eni68ZoHN9Bm87i0oQkzQc5nGIbxdy4GMAYUXF5fUlxrmrpmNmuoqgrnLmUR0JrX3niDzz75BDc4Clsg7H5hfFutBXAsSrTR0vJowBYWazTa2EmfNni0kQBo6HoxGbACRpeFpUnyEoujY4q6IvR7tHGj6Ys4s1pUFMawNjq145opR7+VDPy8H3KaB5qP8SZYdnucx2Fgd33Jn/zxH6CdtMF89vBzLtuBX/z1f03GqRto2x27/Q5dFty/e18S0kJjrRl1dJVSo4swMAZCpOAzRjBINdUpqbQfShnk9qrD5DabMBVFgTYp+YqKopDKKzqilYDPEcXy5Jinn3+OUYrrZ+dsri+Zz2bMmxqbihnW2jSezFhIyQHf4T26eV8P7qOSuZMBjjEZBfDimqyNOBK37R6tJXArC0vd1JS1zFdjMos5jEDL4B1V3dC1nSTYmw1937PZbGiamqEohFXcdpSVxRbFuL7l+5XP11jL6vgIpTTaiLnk1aWAt/vdHqXzfbA3ZC7y39azJlWdLWuuqcpqXK+1NvhhoO96hr6n7zr2+z3XV5dieleWrI5WLFdLZnPRGba2pJk1VE1D1dRJD3YC2auZXLd0MUi3gDjZd4TgGQZHu9vz6OOPqaqK1dkrFM2CiOH2pv0yHuO4i14MFzDsrp/SXT/j8tEDXNdyenaf4CN9v2O5POLD7/2IRx9/wtHdu3z8wx/y6v177Nc7Ls6fcnLvLm9/6R3O7t7hu9/+Nu1+T3j0OevzZ9z57B7zo1NOzu7xR//k9xh2G3zb88f/9d+jWsy5/867/Npv/5usTs8kKEOMNmT/Mrz6ztc4fe0L+KGnLCy+73DdDt9LF4jRJklFHABVSoDeEMMY4ASlJdAOkX57KUmpRvRPI8I6cI7Q7iWhSjI1U5cSFFpYyWVhGVrE0ylJSUQVUYWlqHLXiHl+P4+QOy3kPW8CQSBxx3YrEgFT+DiVEYfdGtdtE1MhJdep1Y8Y6foOrTVVXRBiArZDIMZkTqvECEYnDfgMxh6ejwTvuUNKAHddKDCiB+y7lug8PvaAoesdZRDZEGPLBIL3YiQWIPpkRtXviL6j0IqoLLqoRbZDabStQNsb92EsliYwOwPScejpd1th21TlBPgNA127od21VOWM4ALBdSJZoI30SSuJ4/zBw7kBRP+cHznBR0nR7Ory8kZis9/vbsga5ONmF56Mz+PTO+g48OxR4OTOCaf370jBtO+pjaaqCmZNLWxOEgt7THgnAOQGi1UpAod6fVHGhLLsQmR2dMrp2X2RgHE9Tz75hMvHj9hdXfLowQO6tkUrzWw2Y6k1l/qapqoAMbFanz+hWcyxKtJeX1FbTYnBD47BO7I0VJZj2u620n4bpusfhkHijQScHDKBs2ntlGNM9zADxpnFmwHbfE/zOJT7IYWp27lLegIpCZyeR35Gh/v/bekJeU0ghJuAco7r83NB65RgT4C2sOUDKumx/qQxf/hMJ41hT9sPbLd7uq4fgegsoZPPIwY3vqcbJPdx3ks7v5b24eb0hG/81m9jy4L95or3v/NtuvU53gd+/O1v8fDTB1yen+MDzBdLlFKcP7vk0w8/4s5rX2B1901ZrUagm1t6iy/H8d/FenOYM0xAw9Sx2XUd3dBKMUIrzu7fZdjuePbwIWVhqErLaj7H+Mg/+W//If/Dv/23efzwIf/oH/4Dnnz+OUEFzs7O+Bu/+7usTs746IP3+aN/+ntsri4pZ6WAnko8feqmTpq8YmYUiByl4v9ytcQHLySfENEE+q5HaRIDt0SpuXT2lSV975g1DW7osYWi3fcEP+C0GUlB0SiqWZPMXwUH8MGDathdX/LtP/rDUVs0hICKirtnp8QY+aVf/Dq73Y57d+9gtUmGYJF2uyHGSFkYYnDCtk8YkbUGYyQ3EFnCgn4Q3eSqFGIBMVLWJSrl4sZIt4ItzNj5GgHnbxpkHj7Hw/VoWksSKDZ6l4QEBgdc0pXODH0fpAjbJYOtthXzL+cSuBw8WlthB5cF682a6/Wa9fU2MbSzDKR00jYzAYTLqqKsK5RW3Dk7wzlHu9mjYuTq8op927I8OWZ5dMJrX/gCqS+D7A1we086XOdelr13OqSzKQTHe9/5Fu/9iz/l6OiET77/A9aPnxJtwdu/+CuYek4YnEhc1vVkngbYGEfyjsRLSe4qjtHY+DulNfXqlG5nQRcUpafUGoJPZ5IwGCJRVaiiwhRiDB3aLb7d0e33OAKhMNiksRuUBmOxJDlUrcd8cywy6lyYdHjXj53yvmtF5xtD2cykW6CZUSwWVGXF4Dztdku7ucDGntPlXHSOU3dolgHSRHSK1wkRR0Q5iWXCYVyc/tunzu/oPMNeDJNj8kERKYwCW1iiNvSuJ+x6imqBVgbpmk8eAamYlKsr2XhOvtpx3EYO4sMR+J325GlvvuUVcICRxRvfH4DDOZfPxBFu7vU3vlcQmM5BEyU+j6BU0hd2Pb7b022v6NsdhS0o5yt0UaOKMvmATBiEKUqUseIBU5RYW1LYhhi13FMm6bXD43ac8hc9fiZwWNtqtHD5ScHKdAJqfGAkoNQYRfQCfrgQRLphGKiKErVYoI1hvVkTicyXc05OTgS00SkxUlE6GWNkLP3HVBk8XLjUQTsijEyCDKZqNS3sQKq2hySPMBDxo+mFXE9IkyxNNBQqipZNxKVqhSzmoEb5ioAwHJxzqHBzcAqoGxI4lgK0IMGbTi3l+XXC8BUGtjZWWgK0FtM9n1iBGgo0Tx9+hkKxqMukCSiD1GoRCjc6J28CMhBEJzmGCeDPTE+UprCGojB0zqJDTIwiWYz2+/2omdy2bWIAySKhgeClIrre7VDGMF8u0May3u8QZ+tO9KOtwTnPh+//iO1mm0wELCpVLyPSaiQAmwWlxpaPsqrQVo9g4cSkkA2yahr22z3NfIkpLGFoaZqS5WrJZrvl+OSU+WKBKiLYgLIWHUVjL/qDNhoVEmD+soW1chwWb+AmGJy/Hm4ysW/503/2z3DBU6mSbdvRO897f/jP2PU9//bv/k2++61vsd+u+fJXvowtLJfPzmXD0pM0RTaFABJDR0+JmvPEmMZe0hzVUr/BOQl6hmEYZUuyNm9VVQdMGanOiaSIGBwarRmCMGBsWTIvLK+/+QUeffQR/WbH5bOnVMbiIjR1TVlafHCAaB4Zq6Uqm9jjKq8/o65hShozqS3fS/SN+ztWHdOaZAs7Gl1k52Kloaqkra8oCwHPQkD00TTGlIQQqZpagk2VTS0i19fXklB0A3UdaPct28JQz6pkzjdtLM+x0YxmvlpwT8um28watus1m82W/a6l3e/xzo1V41ydLYqSYlOA1jInUdS1yAQNQ8/g3GjuGLynbfciOaMV9bzm+OiY45MTZrOGsq4oq4K6zv9diRZ1Otc8drrNVjDB6GUPiZ4YpQCklGI+n2O1JrQd5w8forTl5NUqBUq5XShOxT1eLoAJcvE782wDYWh59NH7aKU4Ob7D5nrN/skTZvMZw77DpOf29jtf4cH7H3F5tWUxn2HWlgcffUAzm3N0cso3/sqv8+Mf/IDr8wuC9zx7/Jj9est+s+aNL7zO5aMnXHwmEhPtes1H3/7nXD55zG/+jd/llS+8PRoABpU48kpT1TOoZygURTVHLU9k33BicOZdT9bfHU1Uw/TPljX1fCVSQzHSrVdsr55RFEbaNAcnoFjX0nUtRVWPbZ/Tc53ikLzm6NSmJrIG0iFUNAYVp6ASMpsr3/ebBbTb66jWOgHDJDQ5ja8Y8a5jv77CSNVInt9YlJU1QZhMAnarGCBI2533TkBYc6Alpyfgm1vB7s1zErOb8Wch4r2sn6HbEzBiLNjMUJUA8pHkAh0nP4TgBmIMmNRpY4rcWmxTK+7z9yifoMoMRecY2r0k3lWFLkqsTUwm2xOjp9tviG47rp9KqZG1pA6v+bk58RLsxToV2VHMmhm/+Vu/xf/n7/0XUvSqa/6df/dvURZTER9SbEgaJakN0/Ud15cXbK+ecbScYSyUlcXMK4wWZqmMW4lTc1JxyERXTN8rNa2N6GJMoHwM7IfA8vSYs7NXpGCOJvQtDz/+gM3jz7m6vOTJo0d0ux0xeIzWeIW0q9cN3TBISUUrMc/2jqosxOStKCSxJLFykcJx24ksmbWWfpAYOCc1hRWJsK7v0rTJTOhAjCKXMDH6prjZHBBBDsHxQ5BnTBVj7uqRuRiYYqacSKYXjl2DIXUVZDH0DCArJTIYOpvz5PufQeTUVTQymkMgaiX5Q/p+Sljzqj+d52Er+ySVwQhuex+kPbgf6AcHSQrI+5TDMEnv5YL74CUfM1oTrEIrw+m9V/mdv/W3OLpzh49/8B7njz5DuYFut+eDH/2Ixw8e0ruBorCczGcYbRl8ZOg9Tx495vrZE5Znr00GttNAfPGEfkmPF61Dt2OLQxA//URyaQUqHO5XCFkGw9XlJYMbMFbT9XsKq/FaUVnLdr3hP/+//8fcu3+fr339q7hhz6PPH/H40WM+/fQB/9bf+Jvcv3+Xv/E3/yaPP3/IJz/+Aa7b03a9kGmsSUV/ARRm8zlHpyc8ePgZvfOJSFMmI2LJp6RTa6AsC8qyYL1ey35flgyjBBoJbJX9wTknUgxa0Xd7qqqiH4YRxAjeURUmEXvE1A6gLCqMEc+bRw8/JcZIlbrVQObg4D3WSBu5SNdJt5tL3WlNUwugnWJvY8B5jy0MVdLhtcZIS7sRqcOiyJrnmZxxkzF8+9nabIKd1pdR/kYlH5uYDTMlNjJG0XV9eq1PYYYwmYdBzLizdJ74r0zduVdX16w3W7zz7Ps2kUtk72iaBq01q9WS+WJBiJGmrjFJZk6lGKSspRu7ms3AWO6+8iq2qvEqSUQpWSe0FmPrSc/91hh9iQ5FJCghCb1y9zW+1Ss2g+GsmLE4ucOffetPqBYL7r315RFTIDNRpx1iAoFzoQv1gmUso8WGan5Mb0qGoaeqa4iBEGS/Uoi8gzEzFNBtL1HB4f3AMHRELxJ9xpoE0kW8UpR1c8OY8UYRGcFnRPZTTMT7QfZVPzjQBWWzpJzNMcYwW6yIxjD0O7pdx35zzdBuiAExqzWWypgULCRCRvC4Ia9lCsoy7YF6NF+MUbwVQEBi7xzdvk35pMXYEpMkH3XdUC+PKWdLgg+sL56y7/csmrQfInGCG8HeOO2p6iCeVjlPP4x3JhD3RaNC3uJF4O5E/LzBUoZUmLq5fd0umkzfH7wuTlISIUZCGAj9jm59SZ+8QZrFEmVEWsTYNAZHH62EyWlN1BZTVCgr0iSZCz2xlZ+/pn8ZSZifTXP44AbkMXnIRMjfZyAWRkxXDp8q9CEIwKHkl6a0VFoE8RfLRQKBBfAkMWzGSkAOpkIOgGOOdA+qXTkRmyqzaE30Aro4J60uLkLbtsReBq5OG0EWxFZaAi0QEEohk8YFeRwmKiKBSDi4DwGjJvp7Dr4OQaOsnWoy6JQWm8NANv8bb+LhvYcU5KuJnawUyogYfUzlrBxUVmUlraEiTCMDzQjzuHcDNiTgPAUB1sqNj6m6U5UVu/2QkjaDVqCjFpOxFGBK1bWYnB+Fcyvkn3ktG9rVBX2As9M7SIurFufNIBvqfrPD9QNxcHhjJFlOYPZgDPqgmKnShh9AKqRqcqbOm3jdNJj1lrKo2LXnnN27y267Y+i71FYb6duB5WrHbDFnNhcXe10UmBCwtpyS+mSMEMcE/yVJTg+Ow43kdmvU7eD1+uKcp08f8xu/8zs8+/wZTx485OGnn7O+uOTRRx/xh//wH9DtdpTK0O92fPjwIY+efM5X3n2Xy4sL7t+/j3cuJa6MLOLDz0IpTFUyXyzxztH3HaHr8INn6Ht2u5b1es1msxklSY6OjpI0STlqhjsXKEsBUpwXCZOubaW9TSvKsuKPvvn7bC4v6YeW7faavt0jQaCM8cJW2MJM41+R9KamYkO4dQ95AVgEB2viwfeZBd00FU3TsFqt2K43gIBUbtAoq0Rk3qgkJyPA+Ww2A2C3azEm0NQ1bhhGo879bs9yuaTvXWIP92JCMTKfpg1jTEg16MJwcnZHDO+u12zmDcvdnnbX0u47NtuNrI8xst/vCQGKYiBs4lgEmCrAetRpBxL7WgOB+byhaiqOT0+w2jKfL5jNaoq6whYSqFZJziOmynAeJ957fDL2yAW9ojCYQuH7iPOetuuo3UDhDL7v6LsdIQ7C/I/JQfdgAz9Mrl+GI9Vr0MgaHQm0m2v26zV3zu7xnW/9C9rtBpucuI0xzJqSzfqSZ5cXWGN59uRzZou3WZ3doxscV8k4arla8aUvf4mPP/iQZ0+eorRiv1szuBaKmrPXX+fx4yeSKChhDWwef8rv/b/+M/76v/8/AltycueuAIdao5AkQ9gVpIIaUIiJnYkRGwTUmbRDA01RpQKRMAHEwAHQUB7dRRmD36+BSHADru/ou1YA3iob1ga0OWAMJsAmZl00t4egkuaaSNSUzmN0IcHvC4oFhxX3FxcUboEACQgkerrtFToM+N5RVAVRP/fy8TMInuA6YXd4l/QKLdEU0nZYluP9PAz+ngchcgyWgVaDtjYx7DsiA7aaUZWG6KXdT1nRW8YNElclqQ6F7L/KFhKMGj22Lt5mTz5/TRIEu1QQKMtGJCzslHiZwlBUA35o8V0PUZLg2khxVoqFWbft1v16SY7BDbR9T1MJiPs/+1/+r/mFX/oVnjx5zJe+/GW+8u4vJFZO5PCygoLQ93TbS0ieD6VVlMcnk5lvzHFw0rlEoq7x/uQ9KD+jgxg9ENBKo3UhIG7SFS4Xx7x291XKaiaJkPcM7YYHH7zP5dPPuXjySGTT+l5iaDcQo5fCT2xomibt9TIGh+BQSZZB3i/ivazBLrVWe+9lTCg1Mq2z1raPHhMVTsUUf8VxfJtkJqeUEDyUEjAq+xBAdjqPSRdxiqlHQCdMHQxBAT4ncRPDVsyJp0JL/nu5v+GGz6QA8j4VRxyECcTN+qKo1N8QUwtujEjvlGgv5jUiA3fy0ufn2WGsK98DKLyLDJ3ILQ0uEILI8viDaydK3JTB8FyMt7bg+OiYN77yFb76jV/h+vKKP/xH/4B5aVHesdts+Pyzhzz7XAqGTVXRNDXz+ZyiKOiGnu16h2udSM+FnpBMog9beX+SZNfLePxFCs23XxPTv3xnYojoEKlsgfMD1lZ8+PkTzh88ZFEVMgZRwojVmtWsYbvf8+Pvf5ddKr7VhWW/3XH19An/0X/4f+TOnVPe+sKbzOYN905PKBYzNtdXI4PcaCFBRFSSbBv4xW98g+/82Z+Bks5evIXU0i5FeZeuQLNcLum6TuaINmhd0DQV3ke6rsMNnvl8DjHieseQgNSmqej6jhAiRttx763KglAF6aAh55qBWhcTyx8p+gxDT1PPBGQdHGVRQAiYwlLX5cjoLQqJTbVSzBrpcDOpG84YQ2HtCLRJDmskn5enNjIWc0zxohzqsCMyf25ed0IQUlcIUrwJfmIXG21EE3iUlvD0vZBhYhSCTP68ruvY7FqcJ62fU66bO/uOj4+xxlIYAb2J4PqBUDoUsDxaUZQlRVmwPDrilTfe5OTuXbyyqSNLQdQ3oCWJIfKa97ycxs/zMeZm6X9Xjx/w9/7T/5TF8TH/3v/0f045a4jA2fkFzz5/yv2336VqZgmEvAWxTRjxTz9u/KGirGeU9Ux+qCKGeOM9Ihq3u8Tgca6XbT3JeuB7VJAOqgAo73G7XESf2OIZBI2SHICPhMFJbBeke6isGjAF1eqYankse4tzDNsNj55+zvHZKwQl3dJai3a2QokUQxBp1OgC0WgwGh8DWhna/Q41kgsErgk+YIyl7/e4CBJGakyVjOyqCl1YqqYRUNcP9FfP2O33Ijmb7tGoF0wiWo3/ZH0YO/BQ4z56yPY93GeMtWPR9TZR6jYBhLFwnh5lemQq7dtR3RgZY06ZOwLSGU3vmzEkqfZLThJ86qrcp86GBqVLlK3RZYkyyTDaZIhWgbWpu70AleYrgJo6p37SAL3h1/IXPH5mcPjweBFINt3wxHTNuUyMsrFEDylgJLH1tFYikxAi0ShyS1zMwtZkDcJ8Y1OQY3JQneqQyozBlD5IkHwMOC+s37537FthG0UX6NsBnJjQZbDDx7woh5RgyowPMeJ85OjsjMsn5wTvMFrAYbIDuFIMXTvel8P28rGqklrLctCeAdbsVjo5Gid2gxaWZQiZJSzAbgiyobrsNZGCvgyi5+eiVRR9VwTUJkqFCa2498YbPPjoY+LgKUuLUpEYswu5TJKqqpg3gc70DC6ghoHIBGIrpajrOrm3JkZE8KgoWnhGKygidVEQ0JjgE5MEYgLAIlAohSmLsTUwJwHzxZyu7wlJI22spgaPMga3k3b2dt8ym83Ge951A6ujI2Ls0bbkww8+ZDWr8c5iTwu2lxs2rNlt15yenuLdQFHXFHXNfGFxrkcrS6GlOnM4xmFqI3zpj3j4RTal82dPaV1guTrmx99/n+vrNdv1hlfu3uN0dYTbi3SKSzq/y+WcBw8HCqU5OT7hg08+5c6dOyxqS3AR0MnHUlpCsJaz+2fcuXuPzz7+iK5rcc4Lez5GNtst66sN11dX7Pd7FqsVx6fHLBYLmrqhrmsJgJBx4r0YcoUQaOoF7b5FG0s/DOjS8fDTjylCpO96+iFpE9tCmKppHmqlsEaY7MRA9E7MlhLQEckb1ouqjYwJeAaDCWF0kg1OuhHm8zntsmO339O2HdvtBoh4v6DsB9RcgnLRRDM4PG7wFGVJoxSmsAxaAmuiom1b9rs9u+2O+bxi6Ad2u5airtC6ApXBqlsmPSDVXj+ICVxpWSwa9lsxjNtuthydLBkGCVzbtmWz3Y+JhfdemEbGJHBDPmM+nxGJWGNZLObM5g1FIaYjzbyhLmuapqFuaopKtIVtmYHF6X4ePo/CaJxC1hMjUhgaWRtCDPgorbnaaLq+GzXj9Q0g7Wbx8mU6Yi4gKoWO0glSFpbF6ogf/uAHtLutgO1VI2u8MVTzGUVpicPA+vIcS8D5yK7z/NGffJuZ1fzqX/kG+33Lfrvl/iv3iQouzy+l5b/rRaZou+fVt97m/e+/R2OhqCpCP9CeP+X3/+v/Cnt0wtXTZ/zW7/xbfOErX0FbkR0IMLoMjyFLHoNJoie32BUwBTojp+jg+pXG1jN8txN2xdDjXY8busSwlT04hsRYSHt5SP4Bwbl0BprBOYxxhH6gWKa9SqVy8s+Y5E/j6CBhTM8ruAHXbtBK7llqM7o59vI+HTzedbi+JUTExTq10A3DIK2OBNHJ15kh8HwnyJQMpc9Rmmik5RalRcstDGirwbuRxS0STRVR9aBNahl0af2aOsByZ5Q6iC8OE+SJYSGdIyoipnZB2qSVNkkjbkLJtbYUZUMYZF0pykYkK5JjNCkJJh4MkYP79/N+1HWTvDFkHjTNjF//1397KhiqaSzdZAFpVAjEvmVEH3O8mAxuVHTT3h1vAojjfx8waWJap7XREg8qCxh6PxBtyZ03Xme2WBGCp+87nHdsL8558vAB3b7l4tlT9tsNru2TLmJqkU6AiHODgBZas++7BHZCpQuqqqJs5vT7zbgOwBRD5nMGkXDw3o8JVuccpSrGmBPA2lIIFsn0LYNHhyBOZvLl3+X7nMGgMbHOe7uSJLwfBspoKMubkjK3i+mHvztkKR9e22Ecfvi303yZJKwyAWaMJziQnkjHiwqb07kIMzwEYaUO3tOmjquJYSz3y1qL82Io5r1n6B3eaL787lf5rb/+b/PB99/jT/7Bf4MtCparFdvdmv1my7OnT9lcr5NhYMNsNsPaYrynKorpp64Kgi3ZX10zO61Q0ZA3gshPX2P/Mh7PkQcOtg4FSYMzYo3C2AI/9FhT4l2gCy26SPO2qChKKd6ZpsYSOF4t6PqB866jtpah7zldLbAEdPCYGHjwyccoAvP5nLosUEqP8n22qsFoLi4vGKzm1/+Nv8a3/tkfShHDaKyt8AqIQpyIUTH0KTYOQUzmNHSDjN+6FjO4ECLBeYZ+kO44a4Q0UBQ0rhq7Auu6JKR9YjavbzCIY0ykEi2ScWVZSLeQFYLI0DlUXWONpU5yEdqasUguEhFWwLAoZlOyRijKqhxj40M984hHG0NhLEJmuzleD/e8PLcOwRfpThI/DKXESF5ri3N+/Hlel1wQQDivYVVp6TuZk0ZLV+56vabvB/puGGHrbIqnlPh+zGYzyqJkVteURjotdtstddOIxntd0XrH0WLG7OiI199+i9XJCQ6JK8V0VzpQ8t40LTFZVufFheCf90MjMdYn3/8ud+/e4bf/3X8P5Ts2j55i6jlf/tpX+d63v0vZSPy8XV/TzJcSr6R7MBao1VhjfeExMtunn0y/jFN8duP8jGVQGh/AdwNqEMmGGEXSxbmYsKlAGIZRCixG0NZM+UGUrrgcG0cVwWjKqpa4qppRzo/QZU3frhnaDZvLc+qi4vrJU2K3RUfRrDda9pKhF4Pi4KSDCQSdM4UleMlNZS/TU26sNMpalLXMTs5QyWDNVhX1bE7ZzCnmc+rFiq7d49sddmiJg2K73qOKVKyQoHykGubY8yYAzEhWyPc2f38jXkx7a97nhWnLBDjfeIZ6jM3lNfKuntzdfLBfcxAb3Nrrx5g8jYNsTpsLzM470IqyqtGFlZbpFKNJXBJQBCHcIEVnj6IwWQruJhIxnc+Lx+XPOnd/JnD49gaXqzLTxeTf55kUklyBtBd27R7ft0lTL4ygoOC/Mb1XFpE/aPlSwgyIIScUKj3odA5jO3xG54VRq8ggomJwPklWKOazGRdPz3n82edcX17h/UBVFBS2YLGYScKZ7rw2lrqpEhNCGH2SyHhMPs/EbnVDnyr/0wIbEkAUsnFO+heCMIx9Blq8P0jCGHV7fQK1D+7GQRImLGprDMoYkXI4aJ0e2XaJFa2I40YYozAR+2fn/PK//tv8yTe/iQmBwpbyXFSUiqnWzJoaMMT1Gue71KIjG9tYCR2fYZoU2qCQRQZtiU42SEXSc2MCz0MC47WVID4kZ0dS1Vac14V5crgJ+yhggMhjeMpCpAVEo25q1QwBYY2HyOCEtf3gwWcMXU/TVCgd2BSFgC7DwHFZstttUUozmy1S0CsMN3XgJP+ygUwjozXe1qCRceEBS8T3LRHFG1/4Iv1+4Onnj3jy+ecslktee+0Vjo5WoAIQ8ErG09Hxijff/ALXV9ec3X+Fb/z6m9x95T6PP/qEhx99wmy5oKxqtvsWYwruvvo6i9WK7373uxQxUCgFg6dtO86fnfP40RO6VnStm9mM45NjTk5OmM/nVJVILaiUEBtjxE1ZSZu26KjpMdg6u3/Gw0/mXDx8xNAPdF03tuZUlRgBKaWFOW4S2109f99UMpYZDWbizdeMUUO+txHRZer7cc5WdcnR8RHOySb87PFjdpstfvDM5wt87zFFgS0MjsBitaQwpWgOVyXGmvG6h2HAB0ff9lxeXFAWd9jv9pRlSbvvhRFNNlXMp5bX0JRkGkNQAaMLrDVUTcN8tWC+3dPudwxDT9cOLLxn0Q+j/ExwTuYDuSqpk0a8gJNlWUrLvBITBmU0dV2LmVxyhLZFgcrSHUpNMi5KGGsZMNbKYLR0MLjBjeaTXSpSDc7hncM7L87QRkCP3Fo/BbU3N+6XKtBNz1AFASC7/Z5AABUpmwqvFG63H8fhZrtj3jvqpkZbzYBi3/Z877vv4dqBtjL82be/y3K55Gg54yKcc//+fU6OT3j44DO6rsWgiO2ei92e49NTLh4/Yjab88Wv/wIfvv8+zz79hNcXS3ADf+8//jscv/IKv/Ib/xqvvf1F5kcnmLIZ73h2G4YUOkcJwp4PaCbgMdWU09+I3loIwlZkXMc8zg2YUEGSjICYDDFkzzNGE72YUEVU2tqnYFNCv+cB4rwXv2iY3AhOYz7z8RJwQ4dOe7+c5839IqS2PYUnhkHiohgpykY06Kx0ziit6buWodunLgyZS8+BDbdOMqYgHWTPEqmJZFDiPV3b0tgSP3QUVYM2BdFYou/H9S+GgNFWOo5uXOHz+95tJqAiJvkvYVFGJUmFJblpK40bBgF/TYktK4a+pyhrtCklVkhFhPycJDE7uG79/Hn8vB0hdRxNZ6owOWE4GEPy9WDspZ+rEIjRp5hZ7iMxpOQxTNIGaVxP5AkZ1XncaSXsYKUFVIhK0XuFsiVH995kNl+BkrgshMjQ97h+z9OHn7I+f4oLmt12z7Dv8IPDDcJu90mPU7S3d9S1mNAuj47Zra8ptGI+q8e27KEfkGKox4/zYvLeyO+Vgd5hcCyPjri+vKQoLE3TEGOkbXvZPxAZlUOt3nwfRd90AnIO/Q9gzBfHNVN5KbwtTo5Qgxvl2/L+oZSaqj/jF8VkLjc+ufT6SebiNqOJmOUkpNtiBGPy3Iu5a/Fm8ed2Qnqohay1Eq+N5MlhbAHGY8s6yQGU+ABnd+9ireXJwwdszy/Ydy3VYsW7v/hL3HvtNf7ef/KfMC8NR8sZfd/ydH3Nfrena8UkqzBCGMmMzLISY8qu64SxHDyvfuXLnL76GucPP2N2cjol+y/TnstPjhN+2s9uF+4Oj0M2mWjvg1IRg8igDUlyYVZXbK6vUQhZoB9ajBJwtWpqwtChkqHaerdl2O8wRFrXJ31LT986PvvsAUerJfNZg9aKrpeCahUsLskOljEK47Yq2Tx7yvf+dMf9+/fZXFxgsBA8hW3E4BTZR60VUoUUGRy7/ZbGzlLOaCisE0NgFLvtdozdAJQ1QEUMkbbdAVGKCVGkEIiawQzYUkBkpQ390IuOblngvHTOGWNZLi3GWGKSHMwGVVl+0BYmEcWE2VvmGFqJFnGOQbI/iVYRUudwZgTq3IWDSmaWfgz98zN2gxPPDWUTgUIYvjGKVCVxSCBx6n7Q4q0SUu4RAgyDaDv74On6nqZpaLuOECPb3S75MUykrRACVVWiFJRlmQBmYZP6PrGpidRNw9HJCeVqyeL4mOVqxeL4WLyjVDb6SuAVYr4uQZI+iLPgRsLzEh1BRaJWFMs5v/rXfhOGLU8efYTViqP7rxNMyb2zO3zwL/45i9Wc9a7l3V/+NcD8ue/95x034sPb/43gjqZoCHUqAHctWaahdxoXhfWto07MeYXSIZk5OlSQPNeHKAZnwUkHTCEyTrasqeoFZT0jVguKxTFGw/mTh/jNJX4Q5npwPcr3KC2yh857kjUhnjj6RskwUIQgxByUwdhC5C+qEmVKUJqyKHFRYcsVs9UdirKgni+pFytM1eBDYL/b0bdDklZVaGXRIYg9pjZC2khFHelIvAkOj3vyjVhYJ2avGvfSKX9PEokoMsk642m3kORpvyVhDMrhMaCe7yD48w5ZO+LhD4ipa2okcmQIOXUzZQXh4LKsrEWjRcu9g6JsxnORM/7zj58Vr/qZmcO32SrywzjKLmQSv4qM2nnRO4ahF0ds7yRpkPRBEkWVgtq0AOWgZ2yXy8liBmUyiEpm4zKCCmNFQLhEtH3PZtdiioqTO3fZrtc8/PgjHn7yGZcXlxClglgag/cDV1eXyTXZSnCpxIG1riVhK+uKzcV5ch+X6zZKY43BRzFgEdMdT4gSOHs16aDhxUXSpJl2aLSVGZAusYQzlqyVlvsoD0A2Za0T21q0d5XWeOco9KTVdvi8RnZGngdKns+zTx7wp/uON770Ng9+9CNKH4jGgM0TK2IKTRkN9VAkSYy0ACVmUjbLCz7gvEgJ+OCT1hLcnKiy8GAUVhVJmiPLXAiLXIyLNDHqUfNIFshJF1HuQwqMvReNHKVp/UBEURcVpS3QKIYQUMpz584pTx4/ojBKWvm9x+OJ54GgDb4o+OLrb9L3jmGzYT6fEZqaGDXEyTH6ZTxuj4mbwasknTpGCIH9doe2msoavvn3/wFPHz6kritef/01yrIkSyHI85pAgddff5X9Zi+AzX7Ppz9+n+g8V+srLq4vWR6f8LVf+mXe/sq7LI6Oefz4MUfHj9g8e8rgPPu25emzCx4+fMTF5QVHqxXHJyeslitWRyvquqIoLAl1TbqUKiWNFS6ZaGw2awprCcHx5NEzHnzysbj0rtfsdnu22y2F1hTFDJnDgaK0Y5Al4OLNhXQsZBxqOL5oLeTFi/DEtIP5vCaEk8SOClycn3NxdcHl9RV13TCbzSXwXy25ulqzmM+pG2Gg7duWoiykm8CL83PXtngvoLctDNvtjqKpBEzWBdE8z3w4PM/MUhTtNSiKgqqu8G7JMPSjXEXbdWIo4BNjgkmD2xqTpIJkTFhrEqPIUFU1RSnaSUVRUKT1isxK1NNGf1hzn+6ZorAGXxggYKyA7PuuxfU92+trqrJAR8/xbEYzmz8nm/KX6VDAfrNhe33Nm2+/lTSpZFZkZvd+s+fxw0dcBmF4P12vefjN3+fi80eoEOgdrK+v2G42WPsadVNz/uQxx6cnvPXO2zx59JiLZ+dSBPQd7XrH6uiUzWZNOWv46i/9Ij/69nf56L3v8JVf+VXazQXbzz/mj/7rp1CULE/P+OVf/y2++O5X0WUlBYA4gSO3C1S3WXdTbJGgLy0maG7ok3mc7BshKoZ+wBjRIy2qWoyWVGK6pvfLgFNm6ChtUKa4saI/B7C+ANQ9PEd5zcHPYk6qZB8PMUpbn3q+jTqzlKTomAxvrE3/CpG0CZ5oIsZ6QitSGqqSYkpEP3evRoPbW1mI1tIK2PeJ5eE9tqiFOekTCGaNSEYojZcKDzEBuKboUbZMxfaba8ftfSXf6zHoRgrgIQTMwevH9VTL5+qipEomWKYoE2snV7Tyl1vr2EtQnDVKOqcU6mBLmQoit4tW4zgKHpKUEUkOLYQg4EUGFtNXfuKzUAfMb+nccVGz7aGYzTm+e4dmtkQbkWcaCzlGo3xgd73m6vFjrtfXdD4yxDi6rgvYPzlphzDJpSlgc3kleqJNTVUVFGXFbit+IqO5jbaj3EM2qRV/gY4YszxM5Mmjz5nNcgv5MF5nDJM/h1KMTL48toQYEMZCk2LaU8Z9PMdCAMgY3V1cjO3aMc3pzPTLRQqFQkdhbXkfkkRDyn3Sp2mtSH464/M5fM4KRnkJ+SfZSxj12CdgOV/zeA7je05kkOwFYozGGpEgsKUhoDlanLBcLkEbyqrmk48/wiuNqRq+8tWvc/bqff7w936Pf/H73+T1e3foQ8XTtiVEP5oKacRfoKwsRSESAeIzIh1MREfXtkSteOcrX6eaLbm6Puf14IjapqXxZlfjX9bjRQyy/N8yDozMXR1QeDCeogIziIn29cU5n3zwI165e4e223N8fERV1Tw7vyAqYeF5pzk9OmKx3WKiRkeFVYbziwv6JIeo2gGldmIGWij6bUtdl0RV4IsS1YMtDDYAQ2RZlQTf014+ozIij6CtzKdu6KjKUsDlecXQi3TI2Z17XF9e0badGAV3ncgb5o7QYiXXTjV1CqT7YIv5CJDkmE0rAcCVUszUDIy+8fsQRWrNe4cPbpwDOb/UWj7bJEPljCmYFI9mnUspLsZE/JK55NNczMSC4CPGKBn/2hDjJB3RdbIWOWSeaq3pvUvTWWIH5wMhRto2kTbaHYNzKWfWDIOn7V06b40n4lMssO86Nvs9bdtycnbGo0dPUCrnXDr5rxRJRidSlbXs4wTqZEgXgHoxZ3a84rW33mFxfIyxQoSKWQIsAqnTx5jJ6D4/o2wqeMN09mU6ouw3b731JYbdNevPP+Xi8SPeeOddog88+eQTvv1Pv8m8sizvHPPau78kLS8HxxiK/EvkFDfv142IU/YGbbD1XDq8yoI4CFHGaJ2MCdW0R5D2haDwbsDGA/PWqCBKbFzVc2xZUpQzbFnjgWp5jG1WEHqa5R2u1tcUVuP6LdE7wKLKmqg0JkaKFGVrm/ycEB5rCJFh38n5IgRKUxVoW2LrBls3KFtQVw31fIktKtknB89uu8Y9ewxZTjT4lLcEXC/EjhwfKHNoAJmY7XEC1rkhM5XZwoedbukeHxTkcvwqecWhZBxMO/XhWi0+IH2/IxQ1trJj4R7IpOJJ4SG9Qzbki8/teTLvFTnvDfh+wFqPsqlrIUjMrEMAk0z5TERjk5SWl3tvsoTrrev8KePwZ5m7PxM4fLjBHbp0CrI/nqOAtq7HdeJOGPwg7nwhoMfkIJloJBYRyHuEmFk/hwvRIag1bbD5NVPAlAHjSO8HtvuWop5x9uoJ1xcXPHnwgO3VNdvrK7rdHt8PFGVFPWsoykJ0VYK0fWy3u/Gc9ntF2wrTTW+2LBZzAZISg1Yq/Oka4mTqokhujXEKUDPLeRgGgDHohKkNLQejOajPQCZKdJjyfTHaIJ5yPjHtbrETuO2gfAAYh8i8rimLkm7oefbgAfdff5XN+XleS8fP0UpRlRYWYjLUtgIYKby0uYw6VDGBupMWnlzOtCC6GKjmM6q6Yn19TXaXB1KbkrDBlDbJSCcD64GopF3O+4DS4P0wFQ6UEXKCNlRFRVFVVE1NVHB0ekyMkWdPnuDcQFNU9Ps9pixo+4EezZdefZPTu3f4+IMP0VHcwAkB17cYnSo3B+7sL2OA+5POWcamsBh8P/Ds8SN+9N57dJue93/4Y2aLhrOzU8rSovUEKOe/BRmDRhmaeSNjtmuT433Pa6+9ii0sLkQePnjAa2+9jS1LXnnjde7du8uf/fM/5r1/8S2urzZ0yvA/+Q/+A/7+f/VfcXq0oq5KmmYmFfEsch/CqBWmFMxm8zHo3O/37Ntdck8eCG5A+QBJ59AWSXtIH2pUg7WythS2QCth2umk06fUpGN6mxHyIhDyRQlQ/u+itMQAC0CpM0nkCostL7m+uqbrWrqup57NqGZz+qGDEDHJFKNJrU9+5zCFwRRWnJi7jrZtqaoKZz39rmOoheVjVJLtUZNJzyEwnJN7csFFK4yW+WgLS9WQCj+p2hnCuEmHMBWeVDK3A27ouelkaiBrlh6TgZDWf50BJ53d5JM2ozF451AKqrqk3SeWiVbUTUW8cDgfqauS6Af6vgWFAGzaSPA7PYHxWm+DWS/DkYENUKgQub68Yn91zW6/ZzZfYJQhjE7dluM7J7T7ls8++VQCpsLgnefe/fvs1tfcu3vGvft3xaBEBfbXa6IfePbkMfP5EWd37zKbzzFFSRgGPv7gQ642e4LRfP873+WXv/ErvPW1dzHf/zHvf+df8PXf/G2+/U//CcY5rAr0Tx7wzf/i/8GP3/sKv/O3/sc0i6OUvKnD7WBMOPLxHEicr1+Ly7IfOmwp5mhV1aT3C+LuPAzCeC6kEKFNCSkWyVJUVV2LEU1ZUVQNvCC4+ouMj8M5NAWf8n8xQlGWOKXIen0vAsIlqgypXU9iIgG0s7a9gKVKSazg3SAO7MqA1WOsALmrKRxcD2PgLOeYGPrk+E26fkwynjO2wpQF3lsYhGWqjWUYetr9jsYKYCuF+eev/zbwFYLEQlOQnl3oYyqMpw4mpTFFAVEY/7LPmskI9OBanjtegvlrjDDXJrb8T2YV5mNik8g3WV4gFzIPi/1w61mMnVUqeUMovDK0g4B8RTPn1S+8ia1r1PQB6b8kRgzecXX+lGePP2dzfUW337Pe7Fjdv8f6iWNWFeAPtTKdFBpSXBuZ4s66ruS8SLEvB8VJbUadzvy3+/2ebGbV91n+SRjB2fzJGAMqkM1o8/6c5djgMJaejvw5hzFxvpeHY/m2N4JPBnpivqxwSa6m7/okc5bw/JDfK6Rnb9EGisJSpqJoYRXaKg5H7iGYncFnyMWe56/j9tyb4g09/l1dW9A1VWXwLhKDo786JxJxRnNSa/YdHL96h+Wi4rt/+E0WOmCWM3zfse37xPAPqeVeU5cVi+UcY6QgP5uJ50g/uERqcfRDx/LVN7jzyqs38hrDtA4cXuN/nw9rrICNXmTPHj34lP12w26zY725RgN921EazbNnz5jPF7TtHm2K1KWl+PSTT3HDgHNODILrmqOjFbt9Rz+IKfB+v6cqC05Pl2hTya2PCrx0IHStdPMqVaKcwhSF5Oop5tztpCNgPp/Tti1FIk7JXhe5ePaMoihHre8s45LnWdbgzf99GIPlgg5M47o0RRpzMt+jZiQg5bXw6OiYi4vz1GWiMEYGlNEGrUsZj37AhwGTQCZr9NgJEJKXx2aznvSMo6wl4nckcXIg4L1L1zCtc103pM4G6SLWWtP3A0oZXCqSZXP5w6JOXmu01rRtR9cPKU4Nwhzu+/H1kmfLGvP554+IUcgr1trkQxJp25bTO3coi0Ik87qe1dFSWP1G2vPP7r/GW+98idnySDRgkS6iKbbKa5BKOfvNmOVF5mcv0xGlpZqhH3j00Y8JQ8urb76NLmounz7l2//491jOKhYnS5r5kjv3Xr2BS8ihbtwDrX/aAib76FT4/UnxpKyDAiBKB1W1OGYwBrWvcO0e60siUmAgxASYyjjP0qA+4S6FFcPgaAzoCl1WYmy432GqBpXwC6Usq/tvUtQ1lw8/pgg9RZnmbTTUiyPZV3ygrJLsTFFSVEvK+QIfBrrra3yIyWDOoqxIBEoHqRAZNdDvWvrNOf1uC64nDJ14X4wEgQlP3O83FKV8ntXiOzEST1WSPrEyVyITWUtxC/hUccw1bhTe883Oz+JWR1f6RVpjks9scIR+T9+3ArineEDF5POls7/KLXT49jdj7I8UnoyhLCro24THhbHYrQhodCLRZgptIEYpJ2dlBSHhevFLM2IyLRJ5Lx6bP+sc/pllJV4UrOTfwcTmUOH/S91/BVuWpmd62PObZbY9Lk/68l3V1QY9DTTMYOAGZjjgzAgjiorgcGQYIqUQpVCIF4pQ6IK8lIIRupTuKIm6EM04UhwNBBAYYmAGZgA02ldXd/mqrKzMPJnH7LP3Xu43uvj+tfY+J7PaYEihc0VU5XF772V+833v937vG3FNTXCNBMYpMbiQvKQbPDCF6ROalMwkYe7exbr/WHkblapcW4FSAobrtsUpzeH1WyzPFrz/5tvU6yUmQFtVhBgpxyM658jzIkkbhIFqnmU5bdvJphXkfLquw1jDaDSmycTMRivFbDqhHBVpALN1glvAbGI4p6gZosgh+ASwb9/Pnvmlt4J8qSrGQQi7F+fuF/IepOnbu58UAG8A/c3vIhFMpNSG6ByrkxPyMidLnzGwLxKjN88tcVwSg5j66aBkEKcNVyHs4RDBKAHJOx8Gt/WQrvv85JR1Ji39PmmxxhgFfFUBHwDn6eF+731izjici2TFiFW1GhITay1lIdWt6WyG1obxdEJRFEznM07Ozliv1uS5ZXf3Gm3dUK3E+MwWI374x38clOLrX/wzCi2GCZkVXb68LAaXzm1U42kClraPC8DEsHFJdhNC5O6dO/zWb/5TdAwcPzjGe8/ewU1G40KY8EEN48iYbHg/7x2u65KEirDpowuURZlaqDpMVLRtzZ333+Xw5k1pacozPvn5z9HFyP7+FfYPrzIdT7j74V3WZ2fMZhOefeF53n7jDaxWZFmGzSSxFc1AxcOHR9y7d5+9/T2m0xmTyYQYA3VVC6AcNvOtqqQ9uyxLRiMxsspyCUZH5Ug0cK0ddHR10h9ia+3bZjF83D3eTt62X+dTS6sxivGkxJiDFIxKq+bp8QlnZwvqtqULkdlshtGK5fkShaIcjzCZHUw1GEXwM44fdazXa5HUUJqVXacAJhBCLiCg0QjzIG2aAy6QWr17tkT0snFqQYANCm0jJgaykEvbeZQZH2JiqCQQqAdxBITe0n7vx1tiKUcuiuT31fHeuEcYccJk0FqJhrRSZHlGta6EGZHlBC9tzqvlUsaGzRiNJqmynMZ3X21+SoPb4VBSuSd4zk5PQGv2d/Y4OnqA1ob9w+sYo2mqis60HBwccO/Du0Rt+Kmf/QX+4Lf/GbmBT376VSaFxbmO5WKBtaID6KIwHav6nLarmMxm0lmYZTz/8ou88dq3qb3h/GzFg48esH/lCi+88gr+9dd571vf4nM//bN8+bd/k31d4IuCXEXuv/1N/tk/dvz1f/3voMtxz5VIl7MBS2UdNwPAMRT96Fcog7YjiologccgTuW5G1GvVoSuxTUNsW1RRpPlOcZK0hacJ8ZAZjJ0VmLLKcV0F5ON0j765OLOkwHd73BEQPWtdgVKaUQ1XBFUMnJlk3ihSQGfxYcOvEN5R6aTcZs1QCPBt7FiIBc6VDTolFD0DuNPOr8hSNSWqKMk/V4MhHxXSzKYWYLrpMBsxAjDZLnIMBUj6RDxHb5ZkVmdjMxyttvrPq7giBLmqtaa6FsUG5mRqKQLyKgUCptMpqo2KJMc1pUlRFnD2HoOA1Pkuz+RH4Dj8fHef/2kezcwW2Mcxj5bTLTNjEiFvLiBzXVfANBSXHAh0gbA5owP5sx397BZTnKekM/bToKVjPnzs1Pu373D4uQR0TliSOasIVCOSrq2GeLUGCNZJvqiLjiCF5PQoWicYnUffNLRlNZOYaNKkuh9b8D8uGltL4cgnyF/15tJGcMATPe/2+7CAwa5CXFw39xjGV/pvqV9SCf23kbLuAelTNL+XON9Yk456YYEkTXq37uXgZOjTmQOaf3NrchcjSclk3Eh8iIiq40xagBo5Lw3MnSbAovskSoxHft7NchcoSQu14o8N1irGZf54JvSX7O10u0XAyKzdf6QZ67uiTmg6wRMpl/zAkUhHVvWGIoiYzweUY4ECKiqCp9ASO8cJrP8+M/+VbJyRL08pzo/F4PLx2bF0zF7/zs7okgAmjTXV6sly8UJ5ycn1Kt1ynciq+WKc9dRlBmr5ZHsBcqhEVC3LAq8tVRVRdPIfCpLYf/5xYpIpGs6Vucrou+Y70zJMi36xnlJGxqUFw8KYzU6s9g0f0SeL2M8HkvcbEyaS170fls3zEXnNnN+mE9pfOZ5vtW5swEo+py0B5V74NQo0TI2yfxKxq50K0hMaVmtlslA2gzgsuSR8j7GaNFmTR3Ish1FvG9TR5vm/PwsfW7v5yPvIeuRdPMQhRhhbTYUq/rzzLKCnkncti0xKNCetm1pmobepKrvqDg/P6fIc5pGgOOu9YOEY29ItwGaWxbn53jvqesapTR5Xlwi5cXBY8d5LwQcJ2uXNtL5M93ZY//wGjofUXdRpJqAqPWw1shjC8RkTN/vTb2WMjDc421s4ak5goIY6LoGowI7V66hshFnJ8e8+/prTKdjdg4P2b1xnYPbzzK/cu0J4LCM2eVyyXg8QinLpa37Y3GxJ2MFmxVQJdzJjiZQjsl2Dgm+xVdrXLXErRcyd4z4eRgdReplHAhROtSsFV1tZTKCEmOzYrqDih4XNeOdfVQ2RkWFwmByw/TgBqP5LkfvfBNfr4UQpDQxKynnexidU04mmGIESS5CKzChI8snIrGSQE3f1XS1YGtdW+PbNdF1xK7DO0/bNMRkJC3Dric1CNgbQofNNEU5IStGEm8MuWEkpvg5IjiYSmC9ScaLsU/y2MRZUkxSg0TrqCxwbZf+bhsWFpLCFj4s5ZqupasruqbC5gXNcknlTsiMaFEbm2HyUrzG+m7GgQBwAS6Crd9JCmxl/W1qwQS8A5/8QPquQMVWHjy08m/uiW+EIBk6QpBzQdnNgHrC8d8ZOCwndZGd2rcfbLOIhxMJQcDQ4a5vgt3eKONCmzZ9ZVF+L0CxvrCZKKXEeZCE3KdXhhhouo6qbhhNZpgQefv11zk5OmK9WtG1baqYitxEIGByQyDQNAI8SAXR07mWzndJwzAO7Sc+CEtgNBrhOlksj49PmUxHTCYyoE0CbcMWm5golQAfJICKMV5wDt4EtRdF7a3NZNNFY7QVt2MljBBiEM2g0J8fSRw/0dbVRcM4uLhIKaXAKExfAUFJVSpVp/rgUPW/6w3FMkNIjrRVrFIrGynY7GVAtp+puMvHGKSdxskkjj7Qpip0/2x10tHZgEZ9QUBAZx9EkbrpOupG3LIPr16TtoYo4AJRzPeK3LJ/sCeahlpzcOWAk4dHPFqvxU23czzzzIt87gs/wjdf+xrH9+5xMJ/jMoPrGtCK8XhESmUQUxjRwyam+0v8vibbX/SxAT0utv0OzKQorH2tNN/+5hv41vPqp15hf28H0fqUxVgYD5KYbVj8qTqOwloJiGyeDewRtMG3ntA6VGAoBhmt0aMJX/grfyV1e2lUgC/85Z/gT//oX/DiJ1/mo7t3CAp2plMBsrSmWq2I0VNVNU3VcuPGTcbjMUqB7xxVVUluhaHpWlrXQUxMrrLg4Mohs+kkgcJjxiMpJhitU0VwyzU8AcThUlV9+7+LruFq615fLihsFndjYFQWHB5eIesB6eCp6jXHJ+e4JKPSJ6E9yzifjGnaViQ+fMBlYujWtB2rlbjH5kVOXTfkdY5HNteiyNAqboqcarsthU0VO2ltaZOuWW4CCo3dqi0oIlrZrWvrN7PUztyPrbBZR/rP0cYMrdEDm0QBqjdd08RkJKZTFVnwNE2RF2Q6ZzadE8M5zgW61qFtRjGZUowmdAiAplPQcLEs+fQd2ywPFwKd99x65jZnJ2ecPDqmyDJWyxX7V66wt39IF0Rn/rnnX+Sb336DYjSiqWuyQvaoLgY61zGeTji6+xH37t2j7Tw2yzjc32H/YI/zxQmZzciyEmUsz730Au+88x42m/PBe++K9rgx3H7uWb79rTdo244XP/9jvPf6V/nhVz+F95H33nqDD99+nS/+/m/z4z//18DkvcLmBaCvZwU+iUUMQ30Gm4+Z7GdkownV4pRufY6yOb5eE7wTNl/X0XUNwbqhkJIXBbqcovOScrKDLccpDAk0TSMJ9aWiznertD8RkE0BjtaGfDynWZ1ITNdLZG2/Lm6+ViBaysqgkCTcGEuHTgmBoXOtMOmtR0VNosTQj+wngo0JjldJ5xdlCLFDeUTuq2lA56hOWoJNlhNdi848lkDWFbSVgEbBOVQyIhEzYDm2E9b+U5VWEKTrKDiPVw7rA9FueSgMQT5DIq+UGbThlBKDsP7+9M9FrjVcYBb/4B5bTJX+J9tFBx5fl+IW4BtVvDAOY8886SfEVmynjSVGTRsjOh8xne1RjOfCzO5j5e3a8JM+O3iO731Es6pw6zU+RrLJFDOOtKslKvgL475nsnVdh7UalRlCVSdAxdK0HabWxCiMOI0kOrLey34oZnZuYAxvs3nzZFbaM+/qWsyetfYUZUmej3DODZ14/X7S6wr37dBBCSQenEu6nBvwY0OeEI1oo23KO6CqGtqky+i9x0QFWhGNxuYZWmmyIhfpNxeo64a2a0X2TQlwHIGmCdRaCAzLqmY6ztnZnTLLxlir0UnLWKV7K98GMW1OwLZJSSm6b6HfBog13qfXGkVu8uE+QjLMQpaA/l72QzKEGV0rIFTXiZeAFOz8xs9BK8rCMh6NyHPZ8+u6xbUumRMGXNtxeOt5Xv6hz2GUwjUNoa6lazSm9tin8Ojn65P2h+3ju3YExHjh7/oClzGW+WzG/Qg7kwnWdzgXaDpHkWVE2xtjCciSZ5lIJhg7MFSNMRK/GsNiscBo6TJrWyExCSs/Yq3oFOug8dqjlaJtO7TRtK1DWyF49POul1jMsmzD+A9JvzfPB0M2azex7cBqU5K39YV6m2X9jRCeVDIX3xiZ92bJAhRExWBAjhZz4j6n1UZjlJBT+nMVHxGDqLH0z0on5n9IhUozLJs91tAXlCSnkdxoY/oeUmewp2natHaRjBwr6epNjF/vRSu0nztaKeoEKMvPOgh9q3waA8kktyc6iVxFI/lLCAOwJSahLb3cDUBRFBRFQVPXEi9kGfv7++SFyHh5pdi7coWdgysEbRJzVKeidBwKkJp+bdAXwOHtAiBsWN9PCzFqOO8YCUox2tmjOdnlzvsf8eBkweLhAw6v7XHt2Rd59uVP03SBuu6o65rRRIqo253tAJPJ5DFQ+PKx2Zq/83pw8WQZOiiFOFMSMkdwGcXOATEqiukuaCOAcNNA6FKOm/IucSEhL8Z0vsMWI4gwORgngp4aMDidckKTTTl49hWqxTE6OsnRTCZM46hpuxW+OkMpg7W5FA+bmtDWhK7akBDTnIgx0jYVWoVBV9t1HaHzUnTxUtjSWieyUsTajCIrsEWOyUZoncsYTecbosKOptDWaN8RECB3s46KD0+PGfXzV05Mk+VSfHKdS2SKiwByerOtIjsE11Cvl0TnyMsJ2WiK1or1+SlFng3zo63X5HkpRffU8bBNZB2O0Mdpcu5RG0w+wpYt7XqJDw7jWmIqtKPCgKekm4Cy6X6EQOhqQPBVRQQV8R3ofExMPkPbWEV/rd/P3P2+ZSU+liWSjp4hJqBC4OI9Upu/ihtmzoXkQrKn4eZuAzIDAM0mqRQ30UDlPMYW7O3vcnTvPh998C7LszPqVUXbtVR1PWwkEjT5oSUMNu6fEWE+xEjv+4GOYmoDwiA+OjpKALGwi6uqgrjHZD6VAZ0Yjdvgat/yGaMYZVx+YL35Rh8gywYgP3edGzZPnUCXXoPYaJsAmUg/7fvgV66rb7PrtZU2z8psBZb9PZDNNyaH102rW79JGA15brGZxnbihB4T2rRt/rGpPgqboW8fJBcQo8gtuRYTgpgkM7qqujDGZGMUJmoMkczmdG3DerWkbVsm0yn3791nPB5z4+oVpjNhjGaZZTKdce3GTUyec3D1Kq9/7Wv4Vty1bZHz0qufZmdnzm/+6j/BKiiLnNZ1KA02aR5Lwu7IUmVZp+BdkSac4vuabH/Rx2Zj3wri+p8pMWOYzWc899InyPKS8+MTrt+4Js9/qIjpIWnox0fTpMRPbxblLMvwPqakKtC2skE8Oj5l0XyVumv5zOc/z2Q6E3fSfrEG0HDlxjV+4W/+MnmR8ezLL/DeG29y9P77nJ2c8vDhQ4o8ZzabMCpKZpMZxEhVrcVB1W2YAMG5xBRfizZv59jd3WUylpb08XjEaDxiPC2xuUHZnil86b6xafO8uLE8fn+f9HeXmYjbYEpZ5uzv78nG2nXMdvY5OW9pXeDBw2P2D3YweUYxKujajsncsLu7yyKcEJNm+c7eLovFgrpucAsv7UCZYblcY9sW5wLT6YRylIsplFKDptP28Vjyo9RgaLdd0NoKMYY5K4GF/CzVdAQG1FvPNv19DBflBLYB9RDjIFEhxUCDsZbxdJLWF2HD7B/sEWIUrWVrQWnGkx2CyhAWdBwA6sfnwNNzbBL5pIWnDddu3ma6M8GYjI8+uCO1Vuc4unePh/cfsHtwwN7eAXk5oZzvMZrvMJ6MaU+POb73EcVkxHQy5uj+Az788CPOzhZDkchGAXoOruzL/tYuMSbH5AXPvfg87771FuPRiJOjIw5uXCebjHju+Vu8+bUv8bN/41d4++03+eDd93jmhRd49vnnab71Lb74O7/FzWee5/bLn07JiVzbxX3w4wOZ/udBaTAF+SQjL2c06yX1akFbLYiuQa9WAkZ6jzKWbDTGFiORoshzTD6imMww+Sh9zsVk/fFiDk/83ccdsa+woMgnc6rqHB08WiXm4hZAMoxLJQx77zpcbFAYVGawxRhjcjq1HuZh/4z6Pb+/Zx8HPg4fkViR2orph+86gvFoG/G+Q7kGEwvpBslKAXR8h8kyTGfp2g5l1hRJ9iGGjTlrzzLbOKjrlAQwtOe6tiUfJRNiQThTEckIqBlSt4KxAg5vAcRPmg9p+30qjpgKBk9aa/s1Vv7ucbBpSCbi5mfD+yZDKUKkjQHfRSbzHfb29inKMbAtePvYtvbEc1kvz1mcntBWa0Lw5NM5GMvi6B6urgdpJxA2cd/ZBQwavcaoVEAX87flMg4afNYoiiJJOsGF18KGldczAp1zA2vYe/EUyPMc04O+iUncNA2w2aOBxKZKwHNmcY0AZZfZd0qpgZzRs/2aTjT8u67De9nH8jynzDNpty9zjLG0TdOXumibllVVMd3bpatrrFLYBKB1qauqbVs5b9/ROU/beuLulPG4wBjJOfq1bztG2F4X6ffbS2uktM9nA1DW34MePDTJo2Hz3n0XEZSlYTafJEDMb5ml6aGL0Bo9JKKuE9CsB7HatiVEeOWHfxhbZPTMu16bePtew9Mzd7eP75b7ftzfPOn3PWgvcZLmytXrvJd/m/V6TWYshojRlrZpt/RPFbs7O6xXS9brtRh1a0PnuiGvDCEwGo8JCcANMWCspV7WZJllXTXkRUEILXVTM59Oyawm6igallYNc6s/38sgg9aawhbSUZAKDVlmh7ygJxQ458iK/EL8K+/ZAzdpTPRkIKUG6aP0gUkjWKX1IybDdejLav1YDyEMpBVh3AlqJnmwAhE2wXtRTnUwyEHKfpUIWulc2lZkM1TsjeIaQlQ0dT3k1iFUA0jUF49UKix5F3CxJ2r1YGuLd20CzRxd65JPBwMAX9d1MswOQ8HrcvG1L2bbJNvWF7a1MXRdx9QYOu9og2gPZ9bSeIkXemKINprIxtMpJoxjm+xyOc+5PA6emkNBVAZrx/zpn36V917/OrdfeoWDK1cppjOWZyu+8Ye/j2tbMqs5u3GDT/3kL6CzEhXVsOfplPN+7Meovni7/bNNEe67nOLFgq2KKJ0zmh4Ia5S+A1Ns8mw2uoCTqVREDCic76gWJ4zGu+gUX/Xn1leje5xOEbH5hNFc4+pzXFMR6xXd+QkxOHyUzu+6qSlsLphI52jqiuiaYbwI30xwv+A6CD5JqoAPAhCjRNrFmkQoMpo8sYSzLEcZKXCovluXRA6wFlOOcG2V9iJDZDMnQgJ3UzAkUFjau1RPQlAK4sVccNiFpA12k4M6R7de01QrRpM5eTnGZDlaG0bzPdEzV6Bch2vWGznD/rxTF25PigKkCzembhENCo23GdloKizxtiW6FtdZjAKtM3zK002WS/d+8IS+uATiecAmjsE7dPREZTbXxp8fo/q+mcP9iWy3VW9veAIgJsfM3nyuD+a38pUebLlQldUJWJDZsYlmh1G9hfQDPkacjwQ0k/kevut4/+13OHnwgPX5Ga4RrcHghRWglFRHQ3AXdIIhDsHn0A6tDcZkoh/UtuS5HQKuHuwigus8bdNy3z/iutEYrbFa8H6bAtyIbFLOCZDsvU/GXheZ08ZsEqINmKST8VaS20hMovF0Tts0EpymHKCvMDon55/lUukBkjD/RY3H7U1gezPoj81CKCAvCdRBKcoyo+s6nBNG7fbz3w5gtzWWQgis1pWY47ge8DZY3SdAcWATymsjkJxfnafzntZ1hBiZzmY0TcN8PmU2nQICJhdFjs0z9q5eoZyMaZqW6nxBYTPW2tDFyK3bz3JyfMw3v/pnECOzvX1sppnNp/imTSwQceQeZD7U9qaoIIY/96T7izieFMRu5EtkfKEcJ6cn3HzuWUII7O1MsZpU0VZJRzYfKuPSnhgGJlAPtPTv3XUddd1QrRuqquF8cc758pzmg5ZvfP1r/Ne/+qscXL/Bv/3v/i8ZTWYyvkCmvjUUdgQE8rLg2eee5YNvf5ujoyOeffZZrDG0TSWGZKn9qh9n3ocBsF6tVqzOz6nWK4L3FHnOqCwEBLMGmxnRBCxzlBEgc8OslS9McmoNcQN+b4of+kIgDReToI+rtg/rnpLzMMZwoPalWBIVnVegrWjrRifur21H17aszpdcOTxkfb6EESht8FGqxj4u8J3j+PgYpRUjJ6ZACpPWrZzJZEReKHptxCcB1sMGpPq1dsv0I1UzZc3ZODlvvVhYUP29Qlrz+o36ohbqRTA6pPWl118SUFpY6CFGsiKnCGLWUJQlgcjJySnn5yvs6RltU1MtzykmsxRkpBZZvrcg7Qf56FcfYy3Xbz9Duz5nPJkxnkyp1muyLCfPLG1Tc+/DDzk+OsaUE3avHjLf3WX/8JCjk0csF6ecnZ3wMMLZ8pymCVibM52OmE5GjCY5RVlQFGOatkIhuoihCRSjCbdu3WR5dkbsWkyMeAK7eztcOVvw9T/+Q376r/4Sv/2P/yEHhweMpzNefOVlvvXVb/AHv/5r/O3bz5GPx5gnGKp9p6Mfj1shD8rklLN9itmOtLVVS6rFGc47sqIgK6eMJnO0zVPQ7nA+kOUlwz6LsB+3gZbvxgjb/F0/1Ld/l9y+I2AyxvM91sf3ib7D5sWQ5MobpK4cLUGlApF4MC3BWVzXkY8muE60AwMRFbba1mNAYQY28hP3o/S+USmUtmibY7wnuBaitM+q4CE4XFeT51NMPsK7RoxrbI7NcoJ3uKYhy5rU8mfSHE/eEX0hvI/PVArsUxgXnCf4Dj2wCFMAq1VqgVWgkhyNUikh+i5j4qlgDrMZKOl40jh7fMwNv+HyLzSK3oyldZ6mC8wODtnZP8TaYuh6ufCxW+Dyhc8afi/j8uzkEdG3dF1D5R3X9va5++47RNeikpdEHyv3cQCI/0YE8qKgaTv01pmbYkS7XoOCdt3QukAxKrFsYn+TOklAEqgugbPboHH/b0806HOG7djd2myTsBJp247RdEbX1hKLJrbwdowtsYAVRrBSrNc1VdNSN02SaCjEVDWzFHlGlue0XqQURqMR5WjE6nxB3bT4EEQntijEC6CqxMi6yPFJOsd1HU3X4YLkL13bsrczZb4zJk8+CiIdYS50/oVUEVFI/rk924eCierb+je/k26rfm5uzHp608c+BhwMHlMcJ7E4G7mPpPHc3/uexd11TtrojeHq7dsp34s470CbgfCyDXI9LbFzP1d6+brtn/95rmEASWNE2qWli8LmJaPpnOrsjIihbdaD7GDdtGnfCNTrJa5ryW1BDJG6qwcGb4wRHwWo379yyPlqSTkep32kpGoajFO44Nnb30MDjfdoa2idxy+XoAJ5nnRElbqwXmyY9n0st4lvm6YZQF+TZFz6uXuRnR+G+d6TkfpCUH8N/fhVW3mhiiS5GrbQt0BIMndZlidAvBtATx0k5tXaJGKDTbJuMo6FIZ/eKfhEzpICSn8uCk3biExErynem9r2so490cw5R6RLuVEC2LXadC/4AFGRW4sneaSs12RlMTCEgaGLqmma5LlxMT7v71v/bHq5C+8D67WMm9nOXBjjTYUKHVZrAp6oIklkmKQ6R0/iCmFzP+DxOdqbhj4t4PAGPGQAK2+8+ApvfP2rPLp/j9XZGdzVTCcTDq8eMJ2UrBenLI4fJWNVRW4M7775FsVozK1nn/0un5i6xtN6+Z07JS5Gs9sF4BSwJQko+cGmqLYlr9pvBum1velzZnKuXLnNum7RRlMWZf+mm0+PgG9p1ivaaomJDrdc0NVLmrbCdy3BdfiwkXl1WwVV17a4tpP5lHCnC1geaug2yKyRLhutpLCa5ajUDWSyQrT5dZJ2SPOvR8sV0pnTnS+kn9UY0HrTfUjsee8pHlQEgsS7MUlt9dnp9nqWoMXenJILXfuetqklnsiyVDBKdKhiIq9tKwyeGDN8IzKzuRHNX6MyWRvTje7xsJ7Y0RPttLFi1ldOaHwkBofrGrQ1+AgmQrRSGI9EonaClWkpdCkleEVfvFBs7S8fSwP43o/vW3O4Xxh6oLQ/LiT7KqTBEobh3ydRcTOyH3vtht4QhwBlw4CJqazOANR03mPzEZPJnOXpKfc/vMPi+BF1vZKKPxEXA2jR6+mr9gJoBAnymiZtKJFRWSIsWPnP+cB0Ouf05JiucxeclV0nrqSywSjWq5b79x8wGY/Ync/QStGkIDYE0eFt246ua5OxhegiWWu3TD2kHbXfoGIkaYgxLDTeS3W4qpZpk83F4GVzNy9swv1GbK0d2lIuPdULi31vWKWNoXMumbHJwqK1QRmDCoHRqJB27k4mIn1wkoJ01Se7W0wQlGKkDHUtAU2R58So8P1YjgzgsADDIQXIoheLVnTOsX/lgBAiRVEwHpUUeSZOrUY+Z1QWaBy+WeOblvG44PD6VXYO9lnVLScP7/PwwX201uwf7OLalp35LnQd0Yn0ByFSpJbJy+NUEo+n79ieZyHEC4YhIblynp6e8OqnPsNHd+6Qlxn4DuVFX7iXdOj1xbaDOWESbwwmqqpitVqzWCw5OVlQV8LC0VqRG8vObIbJLOOyoMiLxIrrg3GV2kQEVLh/90PuvP0ORZ7z8ic+Qdd1rJZLqtVSzj8xhX0QDS/nhaFWVZX8t14RvGz2s+mU8agkywzlqKAsC0ajEmM1Wb7FciG1mKZuAq30sNArtQn4elC6v78fx3x8/Bn038unKSVO4Pv7O3Rtx3JZ8cGHdzk5PmE+mfDSJ17ClgXOiSP4o6MjJpMJlRa2vfOySSutqdcVrmk4PTmh6Tp2E9s7zzO6rqDrHONRwXgyHjbwy+tCz5bu70WfDChUKvgxbLqiebg1L9K1ayVdHZeW9cc/ZytRV0qM6gTgkGDVGEu0MbFBk3NuYmONRiPOzhZ0LnDy6Jh/8Xu/wxe84xOf+WFUXqYPVMOY3zyr73XW/GAcMi0iCmmR01lOXde8++03OTs9TW2m0LaOfDxjPNvh5OEx69NjqCu6puHFl1/hzje+ju1kPHQ+Yic7VNUjrl27wjPP3iYrCnr37rqpaeqavugTvWO9bJmM52gVqdcrYgjYtF7funWbt994g4f37nHjpZd5/933+cSnP0M2nfLcJ1/irW+8wRd/75/xk3/tX4Wt4vKFaxy+fhygVRd/sDXXLDafYLIxxfSA4H1qYd206Qn2aChsCj36t49PBuu+l6Mf09/pD2w5TufSA1Zbkks900AptM0w3uNci+8ajDVipqlA6YyoLVFr8E40l1OAiAqDF8Em8N2G0OkRI6K1qCiMamNtYjN4eT/XEbuGaMcC6JicoFuRbLI5xnR0bUVXrzA2Q2U9C1G01rIsu/j5UROUJyTQKnYO39bYvISYpUjboGWCE5Qa7kcPDsSPmaQbsOIHfxLHfvBd+NlFUsVj80B+K1+HmApbqQU6AcMhQONalC249sxNxrP58JoNEMxm7VWPpaMXPjGiaKuKarmgbWtWzVrWmKoi+hZQdM4nea8w6ASrFEcYq6iajqqqsUYKBt5La7VrKkSCSMZh5xxja1kcn+C2GOd9HNyboM3nc4qiGPaGzjlslg1xe69l2rOLvfeJ8dffZ2FnYjLa+nSYrAJ4CqgjrMcMpaBL+p5N7QjRUxSlsIXHBZPZLCWhkSzPyUOA5MXhugabW/KyZDKdURR5Mld1lGU5xALedeLNkEnc5ZyjqivRZGw76rbhysEeRWGxBGHVJ78VbTQqsSZj9CgMWiVCTew7lvoOiECMGzO7bfLHxbhED8CtNlv5WxqT2lqiD8koOshaE2Str+ua5XIpDMkk4VEUuZxjYqxPd3bIpzNEBzYOxmB9svw0HcZcjI8+rtj/ccd2fAMC8qRIB5TCe9jZv8K9Dz7AaoM1BhUjPipGZcmqqjg7W5BZRZEJQ7RtWowxVE46SwIbab4P737EM889y/liyYMHD4ip8FG3HYv1irVr2dvZoTeQGKscYmK/L1cYmw/nut0lOAAdMQ45ae+X0YNYYp6+uU8DYLQ1/vrv+/xq+3e9jGMvSSaAyqZwpJH524O7SimaWu6FDwHn2sTaM3gfBykJ6LuQe7P0mCRxHMvlOb02OAgw2zYtWZbTtR3Bi1H9er0kEpnPZ3RdS1HkiSAiq2ufG3WdS0NcD5rB851dTh6e4kxiOlsrHci95FQU9vfh4SEPHjwYxo7ooDuUks7nfr1r23bAEECYrUVZIt3PHcoYHh3dYzKbsHtwiBolfX/VG8tqkYfaioFEc3nje9SvIdtyFoNU4A/4sYlFoD5+yD/9tX/CZ37kh/nb/5N/i/XZGcZAkVmKMsfajLvvv0dTV2STOfiIKaTgefv55zYEKK2G/fVJhw+eux/e5fYzty/WXRlCvQ24u7UeXPhZD3I98Zo2X/dFQ/kGYlSDCXA0lrL8+PeBSLM6x61O6doVlWtoTk+pz04IrXTZO+c2AGyKUQeAM+390o0m+71Oho9RKTEathl5nsk+1mMENhs8JQQTkjhSaz0UZ/sLNUoRFPimFvlTvUUQUWa4mb2khIokjfK0xvYMXi7ubVrrgTAUVU9y2twn0SCXTiLiRibCmM35qcTG1t6jtIC61ubSjR8DGiE5pLSNTTdt+plKBVoTsfmYruno1i0qNDglxcKoFDFuFSSDTyRF2TdiLy9lxLwupuL9Y3LZW9f3/RQ0/1yyEhc2ua0kbSMN4aVSk9haIfphAdIqmW2oi6+9aPan5QdKEaMEi70afVRaNjqdM5lPiD7w4KOPOH14n3q1olqv8Z3DeZ+0O5IJUxpIMQbG4wltCmR9hB/7mZ/lrW99m/X5uSy6TYvzAWsMi+U5QYGKMtBGRcnSrWjbVioyqeoZQmC5rBiPxrRNx6jMRaY2XY/3Xaoq9UCvtLi0rRv+Rqk+kDODnqvc0sc3V/rSxxYjJN18QA2BLzBUZaEHazexWQhqCHy2n2+XgOTebV1rLQCZTm1mNop5XdtBAyFs2BxSJfWomNjTMSWnypOrQGatFA+Gak+aQAEIAsoH5D5F78UcJ4pj587uHN+KUcJ0d1daV9MaI7IbCDiFZr1ep4kvwdbxo2POzs6o1zWTouTazRucnByzu7Mj55Rab0TQX97L9PeETcFCEt6ni4k4zLO00F0EMiMaCUSvHl7HFhmdd+iUwJepZV8pYeX2OmPGGNq2HZIP50Trt64bzs+l9e3Ro0e0nSfLRDphOpmgjcFmFlsUZNOpsHy1tKiatHCHEKiXpzy4c4cP33lHWmkMNHVFtaxoWzEiE2ObjiYVfpq2pWsarDES4LX1kJjMZjMmkzHGQJZp8twwnY4oxjnGZKjUeqZTkBt7tjxcAha3mAXfAcB4HAi+uGYOc3pI6qAcF1y9vo/zHdYoysTObusaVxYQBbQu84wQHFmmMTpHijeKLDPkmaFZS6Dc1Q133/+AvCyYzWcENxP9p1YcrifTCXmRY5UVs4I01jcbWAKAYcN6jAx674oe9I1D4BDTkubaDYuDlLjonjFo1DCfYkgbuZLPyPKcrmllz0CTZfkAzruuS+u4FAGKomA2m7JeNzR1zfL4hPe+9To3b9+kGE3RJicbj2UDRRGi3cznp+aIw/9lPYP79+/z5d/9XVbLc8YjkUioqpUEPs7h84zp7pyzkwWnxyfcvfNBun+OplLUzrP//PO88OLL/Mnv/jdkZU5eFHQ+ELsOk3RuRyNxxe6ShJIm0tZrZrMZIUq3RlmWwrQwcPPmNd59/St86id+hj94+21Oj4+Z786ZzOZcvXGV1//oD3jmpZd49qVXh+RyO6Z4Eih84U48YV5tXqNASWvaFkfi0r3sWQSXfvoEoO7yOT3+uU94Upd/qA066aKaPv4JfVKb5lhqZTfWYrwj+C4xNKVobbMSp8/xWqfQymOydB9iJE2NJ97DHj/t1+hoLNpYHMnsS2cyd4NHhYB3NSYfY7KC0LVoG9GZJwsB10mnki0kEO6T7J51sXk2m3VDaUkqXKiSBFUYHotis+4NjC0Umc2IXPQ9ePKzfwo2YAVPgmUvj6vHxk1a4/rk1vuADxGvDSYzNG0LyrB7cIViMvkOwO93KWBs/oo7774thcPZAfnxAptnnB+fiLl02u/i9rmR2iSR+Go2lu66kOQlQpCumLb1qVVaQCMVI2cPH6V2Zz/omvYMuJ1dMZXtQY+edACy79S1mLj0RU0FQwt2z7bNsgzvAuOdOScnJ5gkq9YffXwt4I7CucC6aqhriXsnkwllWSZJC8fq9ExMLnNZW6y1smdpjc017Vq6q2bzOdZK7EmKb3utVAG6NxIZA+MvRBbLNV3ncA6uXt1jXEp76Sbe35hXb7Nv++LPNui73c10ecxt/82GRSwgw/bculDo6VmKYfMszpfnw3WQ7seoHLG93tqsYJKKFpclMp6CmQv0cUmKiy4Vly8DNZfXqu1/L7xnyiFUyuH6WGs+30EbzWpZoZMUX9122EIAwes3bnBy/Ii2S/4Z1rBcrlAmscaNoW0bmrblv/93/k1+49d/jbNHp4PRYl6WfPaVz/Hyqy+zahpCU3H/gw9EQsZHyrxAa0NI2ttB64uAPiItplIOL/KFAhL1MSxRDPHWVXWB5NRXaAVkE/IYMLBu++KGFFFcArvisK85nz43KFQMOC//oQ1t16GN5aUXXuYrX/xTsmRs612LUQajJNf0iOme6xrathmkKECK6l2SRsmzXPKItkOpNq2/IjXZeU/wntW6wntH20lXVa8XHKJCayvFXR9QOsk0mMhicY4Pnna1HPKlfv0iCrA4m804PT1ltVzRtWJ0qZIRt9Ja2vZjYDSWuaaNTiB1Sdu1ZKMSkyV/ohBYLZcc3btHludMixxtpRgwzNNE2Iip4GeTnORjxYxtrOZ721B+MA4JInh0dI/m7CG6q9m/cZNqMqZen2ODJ3Ri5v3BO+9SZhYfAs3yjBi9xEVZJrJErpPYpF930+Td1H8V1lhu376dfh63MILvHDtugN4nrMFPPPoCCkMB+ML7KOnIelKa0+ds0Tf4+pxuccx6vaJeVxjCMNZGWovLUkjYxzCfe0xIitc2y0R+NXWJaGtwUVi7Ik+aCI9K2LL0a59SqfCdvr6MZautWL0HVdN/ob9utnCYIfaUCxw6XNN91Jfe/0LnWR9Lpzg5MzZhdX1eK/iTSrrKSmsCBlLhzIdA17UYmxG1T7G9Td02G3zzwucnrI8sJy9LQrNOButSjLdolPaEaFBJKzkk+TX0RtJNqQ0Jq8/N+9j5O8mgfLfjz2VItz1gt4GO/vt+YQdSm3RM9G5AyaDpK3cy6vr3YgCuYNM+F2Kkajt0kVOUE4pygtGGpl7z8N59zk4eUa/Wwpjr3KDpK8GoHrSY+nZmazJiplit1sQYefuNN7HGUBb5YErXtIG66Yab31PMhdWm0Giarh2CzBACwUHbBvANbeewhWUymbI6WwCizQoksCoFCSmQ7Rm+sGnf2WYlbt/jIQmkDxA3C/gFADlNroGRFwI2y4jBXXjf/nfbEhNDS0aQ9ifbVwvT52XWEArFqHQCAsVN+5C1ltaLsD8RlJHnmBk93K9+nBBlY+o3KZ+Y3VoldrpSqMwSXWQ0KimKEq0UO/Mdet00AcIZkkxr7ZDI2AT6GqMZjQvatsCHyK3bz3B6eirMkLIkN4bgpeWoD3hjGr9yPubx4PmpApguJtcXklMk2BN9XnElPrxyyMmdD0SHLI0JHzcmLj0jvjfB6IHh5XLJ8fEp5+fnySSjpBwZ9vcP2JnP2ZnPabsWYy0+BuZXrmBU5NGD+4Dm6vVrqAgP797lzde+imsacmOozpc0bS0slQBNXbNarlivV3Te451s8jFE2q5Na4kUQkajMdPplMlkTIyBoiyYTseMJxPK8Ug0DLf0M/vKYs+i7wM04LHFdntObidtl6Um0o0egoLI1ua0hVZlRU4Ert+4Rm98eO/uR5ycPqJzDePxmNnODqulAIEmM8L+TXOmqgXIzTMZ903dQIw0VU3XNNTVmr3dHdxkjHPiJDvfnafXJ7d7tRG0vzBeEkAQQkyt3xI8kH4WvCc4YV/VdUOdxlLv3AxgbcZoNKIYFRQjGTtW2+GzegMrkxgNKC2FprSRWituyybtJ+tQMZvP8UFxenKKUoqmqvjaF/+Uw2vXmO3sc/PFlyBmFwOJp2rubkdMEvgZayWBCJH5wVWuH17l/OyUh0dHKO+giWTacPXGddrwEYW1fPm110TayADG8vILL3H7pZcpJ2O+9M9/mw/fu8ONW9fRNqOuKtZdg1ZKmHJ5jtKGtnPErqGpVuzt7tDLisgaUFPs7HN1ueKdr3+JZz/5ST549y1ezV8Ck3Hl+iHVcsnv/eo/4V/7t28zns1SLPDkBHq44o9bt54QiyjFUHwe8p+PAXe332O7+Pqd/l7eb/v1m+8fA48R9pIpxjSrJQQ/AA39yWmlRbs3BIIRDcH1YoVSFpWPJYG0uRTUrMG51LLtEgNY94H25vN7Jn8aLcPoUUoYHTbPca2lc2I0p60neEd0jmBbDCVKZ9h8hItgg7CLbZ7TVmuaukLlo5RYb8DpPgGQDyMV+MUQxGkp9KoUaA+mn4kZGYPoVNq8QKkkM/HEBOrjv//BPS6x3r/bkUCW4J2s4a3DdR2npydM5juY3OOCJChvv/Umn/7c59MYMKjUXRARn4Be213io14CaGtcRIhKEbyjWpxx9OA++1evM9nd5/TREe2qEn3qIF4UnRNplhDkHGOQOK1ppJtsVI5kzW8TWQDAOHQmn901bTLJSoXALBPGW5FTjkryPKMsC4ABTCaKRmZmLMZI51m/X7skTwabWM9agzCVJfYvi5yu3rRthyCgk+jUS7v6etVIG67WjCdj2aOKnLZtaesapRXFaEQ5mYoG43ot+smJdRbR2MzRNQ4fHFppGtdR5BnK9IaqDmMzRmlvFpOwirbtWK1aFss1fUPm1au7zCbl5hmlZFonOZH04yH22gbwLg8l6UjcxPIb4Deke/s4E3CzLkoc3wMEIhfWd05KbByD5Ad5WZDnxYCWyD0bbxJjnlzc+4E+0nVw6byfhNl8r9fVg57SLRGTabtnuTzFu5bMKprOU7WSX67qNTbLuPfRR7RdKx2dMTHcYqRa1hhtyZJR0suf+iy//Tu/w4d375LrjNl4zGwy5tHxMV/5yld47ZvfRBPJbcbVgz0yBV4HGFucV2TK4F2LNQoV7VDMNAnYcb3cSBSSiDY9g1ilrlY5H7nYPqc3w43rSUfOdVtrUxw+B9WbtPcdCoKx9MaMdVURUKgso247zpZrXvzEK5xWHUenFaO8YLFcyNrnA7nS1G3L7HBPcIG2hhiZjMYsFmeYBNR65zFWZJo61+GCGLw7J4WcLuUXSinOVyuyLGNdNSg25o2g0SZi/KajoWcJy3qjhryi6zox00PRdh0RqOuak+NTNAaLpfMdKE3d1tjcYLSmaWu01RACTVOTZRlVtcLmJT5ETs/PaZua2WzKjhIW9PnZOaOdXem2iArQAujJyiK0mC3N4Z4AtF30eFLB6Qf5iKkqEYkcXL3Cj3zh87jFI95+71vUdcVkPGI02yUozYcf3GFxespaw2g65b2v/QkudFgVKKY7lDtXqGtHMdvlxgsvUeTJwLiHiaOMYZB14OjoiP39/WGP6VHcx9eNTYR2+XffDYSPsZe72dKYVRDjgAg9GaOIyNipVnTrJc3qDLxjOinI8kJkH4aCf4+vX4y5N//25y35WY/r5AmUlYKPHvJnOadNLN8XKPsT22DpWyzd7Vh+eJdNqLl5L/m9tlnKVXtyhJhR9miHREgMLOvLN18biy1GdHVN6NqhQBjZdDqgSF0X0oXXEnDNmpBlaF3iFRfM3y/ce1JoTMIAosTIviho1m0qfGfJANoDEeFmp24tDSomCd4+b9E66azHYUg9qbjw/RR2/tyyEpc/bPgXkUjuF9EN2BuHQdT3jAvz5fIATo9Q63Q7IGhDNimZ7x+glcE3jvPTU06O7nP66CFNtRZ9WCc6YD1w5VxHSNXuwRANaNpOWk+twQfP6vRUtGptb9KQKgbRE+NGZ8lYQ9PWAhAnMDEqktanPJSu7RhNx1hj8T7StQ4XIk1VEWOvw2JSS4gZNo/tat32vd42l9huE1OKtCiwBa5vgN3LweIQlF0CmDftEgLCswUS94EhUQJ5k56N0QZrbDLZidRVPbAgYMthNiYTPFLlRGu0zi+0rbSt6LTplMj4IBUal56VR3RG88kYo2VzLLKMGDyta1CqN+IQd/fJdMp4JCLnZVkmg7KOvMgoipyizFE25+HDo8G5erVa0VlLZnvpABmFIh/iKVJVbBukSc2e3/Pc+Ys+tseDBGrby6w8p8XxQ9q6omlaTh8eU9gcr8MAHPZV/rqWgGRbG6uua87Ozlgul1SVgIKTyYTRaMxoNGE6m5JZaUua7+7InAyBerXita98iaNHJ3zqh36YEDznxw955/VvkKMIAc4XZ/i2JSQ9tfVyxXq1pl6v6ZyjnI5Zni/EMDBAZqRdSiQjRpSjkiLP0UYWy9GoYDQZM5vPKFKlvWcL95Io28hEL/2ilNpiOWxrFPWshm0jxotmjpDe0vQmJGrzBLbeK8aAySzT2ZSr12UNUiFw586HLE5PGTSnoriUznd3BCDOMwhS6bZanpU1Ml/yPKOpG6pqTbVainZkX8RpWup1PZj3KKW2DFAuHlYbKfaJqpMAFES8c/jOcX62YHFyxvn5Uhj6dUVRjliv15L8lyNCMhWa786Yzmfs7u0ym80u6K4imFM6F9kItTLoYCjKgmrl0UqTFwUugC0Lyumc/cND3nz9W6zXa6bnS7rphKbIZS+yeqisPk2w8IUjyv4EcHD1Oi986tMcXrlCcI4is8TQ8vBI1lAVAzYWXLt1k4PrN/ng7be5f/cObXTslCXPPvMMi6M7/Mn7b3Hz+Zf4ub/5K3zpd36bd95/j9JYYZAYNeyRbb0mBk8xmVOMJ3jnWa9WFGUu1XIAJVII+1eusnz/fQprUTrj4cP77O9fI+rIwdVD3vz22/zxb/8WP/c3foVgIppkzvMdA5ft9Sr95LG/7xnvm598rwn7xwVS3+n128Dw5fNRStrcYoSsnKLMEcp7fEBkGZQAWKKzqsRJXMdU4ZS9N7qO4DrMeEzUhhAtRCPavUYRvSFoI11aQ9EqEn0cgkMV9XDP+nUpRostxoSUwBrfopzGG4txGb5tsPkYleUo36FihvI5Np8QnJyXbyusTa1zYcMMlH19E/wrpQXcTnFO8C5JRwVZ20wxFLD7zqTwhCTpSc8hs983t+H/78d2EvP9MDkU0DUVPkR0XjCezlHjOavTU2YHu+xfu0bXtnz45rf4g9/4NX74J3+W6c6emMEBJGOYuqpw3lOOxxR5SW9qs10jizGyPD1lcXyMCh3V6oznX36Jt7qW+2cLCCILEAFlLL6tpcsKUjtjlPNMSGZdV6IfmBIgkX+ohZmWZ5hMZNV6c0YBgtzwGX03Uq/1h+IiGJzmai8TZ5IRU0xfJ1c30NCulgno2JAmnJO9UViSIpFQ1R3KKCbTCeV4jDEa5zqM0UxnE5SxzPf3+at/428TjebeBx/w0QfvEaOnrdbM90dCUNEVTQex1uxfvUZXrSSmDUJQUMags4zMiumzMcIyDsGzOFuwXK3ok1mRS8tSE2XKD9hIHEQk1s6LYiig9uNMPE4CrpNuuM6F1LkjhW5rrLQBG1BeDT6ZF2OaHl5IcjhJtqtrHc4JcNd2DpGVycly6brszw2lycfji+N6KB49PbEzkGKTvuuuNzr78xeo+hwOUi6hNU3SrFYoqqpiOp0BcHx6kjR9BUTsuo62bmkbMTdbrVcUxQiT5IK+/rXXiDqSmZzQeep1w+JkAUBmc9qmxeYGHT1126CKjHVXY7uM3ORE1Zu1bTo7YSvHD4HbL73EO9/+NuPRaJiDffycUndhuab9bctmjuAdfbG/j4297/eEBLShE5lK47wUJERKwsv6gsg2Vp2jGE25/dIn+If/2d/jhRde5PatW4xnU07PTzl59IgsKm7fvMlrr7/G3Q/vEJoWozXL85WMc5KZZoj4usbYXgN5SxKxP3dkzRMDVjEK643TlZKifY955Hk+rGV9np/lOavVCoiMpxPqqkZrze7+Hk3TcLZYSNdDJ3IuNstpXCtsTiC6wGg0wiqNJwxMbp/kX4iRa9eu8aN/+SfI84xvv/46dS3kjGq1Rtksab7aAUeSAqGM8W3cYSDKJLD4qSrqpKMvhvqu5YN33qSra6azMbsH19DAarnmfL3mn//e79Oulrzw7HWuH+zS1UuyPEdFOP7oLv7OHfZ2d1mfHZEVGTduPwc2k450EZG9EAvu7+9vAY+bn1+OGf9lrgs2XlLb7/1xz+kiITAS24Z6uUCjKCdTsnKEsgVBJeZ7CAJKJoNJUBdzJyVFQ6116jrdXNuFImYCetWFi4/DCWuz8a25QARJY4+07/X+AnImm2vadLrK20aXlAoA2MjfilFb0jXuQdonxZZaY0Yjka5tmr7JVa5fKcH+UnFeaTFQNtYSmgbXViK/Eg2RJE1x6b5FetBdwHMxYs7IRzOapiJ0Lc47VDKPdq1HFwZCFONQ+rhyA4j3eGqIYfB5+9jr+x6Pf2lDuiezbBKomP7rGcID23LI89SQrPeBoLyNRIRBgbI52lom4znGZJyfnLA6O+X89JjTR484Pz3FdR1FXmz00FJ12/uAtVlapLth4oSkVwlCwdZblL4+sOo13vpA1CdNU59a7EQmYiNGr5RGQwpyPcvzCqU0XdUK0Kn0kDT1VcYeHL1sTteDwP35bKp5feLVT8Q4mEiI7pu9wPrtW1b6CoNBks4QBDyKKcDRaVPpQeJN/KYu/NvfL6vNoAuVZZrJZEzbdkPA2G8kcj2iE617B40UlHddhw8beQLvHJ1LbafaUNU12hp29nZ5/hMv4Zzj/p0PU2Ac6fWjdHq/Xr8pyzJG4zFlntNUNT54iIGubcQRPQZGZY4l0NKDZBmucxDUUAVv6lraF70Y4sU0JvsSCBf+ffqOvlCjUvblOjEkWizOCN7TVDXBObKJuHJvFzDG4zE6AY8iI1GzWCwSE7tgb2+PPM+ZTCZkWU5RjCTQsRZjtWhwKoVyDuMdjz66Q1SiI3t+csob3/g6Nkor6nq1InSdGM9VK1brNcvzFevVSth2qd15lOfkaa5neYbNxP3XWJ2CM5uczjNG45LpbM54MpYgOc0To7fY4VsV0r6Kvr3WXa6kfxz7sV8rQxCDtX6bjWkB12nR641+QprTOtPMdmbijIq8/v69eywXC4y21KsUsIZAOSrk3LXCJEO9yWQsBbP+vitN9C6ZXHTU1ZrxeIzRmq7o8J2HfLiYzQjfvq5wcfQH73GtZ3l2xsnDYx4dHXFycsrZ2dkAPtuiJssLmtYx2x1x9733qdYrJtMJk+mYm7ducvXaVWY7c3leqUXpQkVeJwDKaJTTAjYoT+hailGB8wGPw68848mE4D2+E1mjEEWjV0XVe4PTV7e/nyrqX+wRL36pIkU54sqVA1ZnpwTXYqYz6qbGuU6SLgLaCzOn61reeu0bPHz0kL39PZ65cYP5fMLuwT7tuubuu9/i3vt3+LFf+iX+7Hd+izvf/pYw+IoC5zpGo5LZdEKWWdrVkq6pKcoxWVHQNB2hqsVVV2vwkWAMhzeu8eGd97n9iVd45ytfZL6zS6ZzxpMJ89mEN7/xFX7yr/4S+XQqKlJbey1sgprN948DuI8Dupt9vH/GT7ybT3julz9veA8u7n8Xn8fFgHg7+O6TEteJ9p9SiugdCkN0XvR+Lz7ZoW2vj1FUKgyJcUeONzlRdXjf4DswtkgaYxtGaB8g9p1aMW5fW4oJjDB0CZ6uqVL7rMEbi7IdynWQSQdPVhS0OGwYQQhE39JWK3zXEMMYZeKFq9B9ZbW/OiXdAkprnN90cImOHUIl2AJKBkRx6xk8Cbgf/vYpOPpYfZt1811fQ0xdZYmdXeRcu3KdxWTKweFVSC3k773xTcazHbq25fzsETt7B6zXa5bLBavFKUbB7u4+samo6jXKZGgrhd2+pXp9fsY73/wqsavJrKJbnvLtL/4LvIcYPK5riQhA0HUdwW/i014XflSUg3xZz4xzvVlNdMMe2HeOCQ+h70QRAMk5l4olct0hhGRCpROQajbxeNK57eP4ixqcBu8FAFVEbJJ/2MTFCpvJvl/VLVXV4r1nMp5RFAVFnkMQ3fI8z7FGozMxYF7VFfvXr/HCpz7NC5/6FL5reP+dt3jvzW9TTsZkWY4/fcT+4RVW5yuqdUVM5lw2K/BeWIZZJoX1shRd4xjlWlarNWfLJRhDmeccXj0gyyTR3AA2cusH8CZsjN7SbyAqvBN2sgsb3VBZX6RgnOc2meFGrE3769YaZjNL6Ike6Wc+bMg3MUYpMBGwURzlJztzifejMGMn871N1r7FGHv6gKZ4YS39b+X9hnsizP3rN2/wjS9/EVc32CxnsVgM8WeMYvpW5Dmr1ZqrN28xmszY29/ns5/7HG+99Tb/2X/yn5CXJXmWI7qXkcxYOg9dEFPgHMOonKCtJ3qP8x0+aOqmwWYaYxXBObxRg59OD+RKZwj4qDh99AjY6HduFxVgs8f2RZnN9xrve01eufZtc0tZIwJd29G2rRC5gnSUNq2j7VqqusaFQOs9J6cL/va//j/kd3/rtzg/OeOrJ1/m/HTB859+hU986pM8FyPvv/Em/+nf//toYD6dUC9XWGvIbDbE8TblQxFFVUuBQwHOO0Koh2sKQWLTiKJa1+n6Nb34Wtd2g+llTxbptdEjIh0xmo7x3mNtBm2Dj4HF8jzJTBhCcIO0YgCcCyirsEYTvcy5Ox98QFEUae2ICXz2XL12lU+++km++ZWvcHx8zNnijJu3nyHPLGenp2SjEdbmwqrufQt6jGYr3tnOd/o1entteNqOuq6ZTsbsXb9KFRT3jhe8+/o3MaFF5TnT2ZTDF1/iCz/6w3z1y1+mOj9Hac18Z4drVw/Jc8vZ6RHKFvz6P/x7vPjZv8RP/dIvY002oALbZDEBbS9XuTdfqov/e/xv6e/zRtu7/5vtNWjzLNSF1yl18Wc9caL/U+862mqFipGsnJCNxqg8B6UF31EbJrB0Ficj5A2mK0c6tRDj0FUv5uOJUKeUSFPQ43xq4wGnQOv+Gi8C20qpjZZuijdCjFsM5M219pKf8r+w0ZxACf7Tn6qOKB2FMNH7fTzhnmtlQEM+meAQny/fJcFJbRIonJ66Abwhz8c0HpwP6LbB5BBNjtqWcNlmTPeFGBRaGYLyqKzAZjmuE68PhcRIvZRVL/1mrRi1D/hCH9srRVAb08Dhsy6Mp+/9+L41hy8g+1uL/gbF3hpAyL+h1yTaTs7TqFJGgpU4BBCREDXG5iJlYDPKyYToOxYPBBxZLs44Oz6mrlaDFlDbptY3HxNxQA/AcJ4VZLZgsViktqgugX4iVu9DxNcNqmXYpGJUBK+I0ROTtp5UU6QiH3yf3G3cW6X9xdB04mIsAZlBpfYfYhwYwzFKELs9kfsAr2cK9/d0s9HoYVL2wV5ZSFue0huR+b6aKEyzlJj0JpDRiNFEFBA3eI+JMpEVpGB/mxm5AZ+VSgBLMsSwxlAUGdMptE2Ld5IoOCct5jrpJffBoTIWooj3Z1mG9sI6jUQ8Eaymax1WG7IixxY5KMU7b75JDIFxUaZNPbEeUpKR5+XAZM1shorQJYdf70X2QpISUGi6VEk11qKN4fzsDBOhKAusEXOv4ESexGRiwjeIl28EHod78zQdmznbBwWAitRn59z74COuXLuONhnL1ZLX/uzP+MKP/QgH1w+pFmsU0lYhMiiBqq5ZLlecPHrEuqqwWcZsPufw6jXapqYoRLJB2EoKm9khCMnyAm0M3mvy3BKAs4f3eHT3PWJX0zaNBMdRqvTnyyVnpyfC8u6cVIODZzQqmc8kqcuL3lwtGXoYKYaMykLmyqhgNB5RjkcUZUmWZ4OmGgmE3K5W9sdlvbxNQru5p086Ytyyn9IKHzdSE2oo3DC0t/Qgdf9uNrfM92ZiCmkNSsPidEHTrInRyUYZAnVVMSpLqYiqxG7Raa1IIJkxlrIcpTXED/qBgyu1lkpviGEzxtVGV5gY8dFDVEOLcV2tOX14zNnJGccPT3j08BF11zKeTJlMJhRFwWg8Zra3w9liwSgr2NnZwXUdJ8cn1OuK4CNN3XD91g32rxyA1agEGMk+EtP3kagzslzmYEeLiRG0JXaOkckwIbI4LVislpwtz7nuHKZtCcgezhBua8B87HP7QTtkKKY5mwaN0uLuO5rPCG1L1CrJKcnfBqUYjcbc++geThtme3tw/y7PPfMMhVaMk06pzTMKa1jXDR+9/wH3795lPJ1iFGRGmMBd23L/QcVoPCGzwt5uO4etMspyhNVGgs2u64XIGE/GXN3f5dHJETdfeJk7H37Is88+g4+Bg8MrvPvuu7z35jf55A//GN+PAmW/fvVz0Bi9PVW/A5D48fP0Se//+DN4PNj6Xt5Dm5RQe09oGgFKkaCvN+rYTr5E794QnOxBIsUA1haErICsJjgtLILQu8Zvg9iKbW3VbXC1D0qVUugYyfISovgLeNegrBVWl+/wvkXbQlgReSnGVNaibEbUmq5tKVwrrOBLYO4wXFO6pJToCLtUUO+THolhNuf/vR6b+PP7etlfyLFJyB4P0i8yeS7Ks0FypTeGtlqBc5wsVxSzucBKIbI+X/CJz/wQ0yvXKfIxX/3iH3P95k1MZtnf36fY3+fRRx/xp7//e6zPF5g84/rtZxiNpkzmO1y9cYsYI2+9/k2Wpyfk1hBiS3QNtDWdkz3bdY6uqQQoDJLq9WwirUTHU0BDWZ68j0kGRdh4Yvh8uQDTJ7rS4dc03dB+rTXJ/M5zenaeAGBFOcqYTWdYKx0sXSc6oQKOSNdgXmRk1lAWBbFPaOmLFjF9hhhoVXXNqmqo25bRqCQrcoltEKmFCFR1TWEthbaMduY0XSMJmxZnS5PlPPeJV5nNd6jXa06OjijnU9bLNYvjU8pkhN02AkBHIs7lqDJnPBrhfIO1ltlsRtt2VMmvwQcwUVEUI3Z2x2SZSvd7w8iWWD2kLUGCfJ32+zZGOudFksQHkd3a0ge3xpDnhjzPpGheWDJrMNakOQu+c0MiT5TszScWpzA5k/G493gduPbCJ5jvHTAkwSiKYtJPANSF6ObpOmIkFS4gPtYr/HGviRf+fWJ3ClEmUdCU4wnG5pyuH7EzGeOdS3IGjrqpqaqKcjzi537h5/ncj/4ErQt0znH33j2uPvss/7v/4D/ga1/7Gqvlkkf37tHUNaOyZDaf8/4773B2csov/vV/hS/+4R+gfS2mizbDak0xnmBRZGh82xEz6XwNPhXxhmsRH5l6taIsigvXenkNu1wE6IFYYeTqgZ3btbI+BB/EtL0VolDbipbww0fHBEQGUswPJZYuxmN+7ud+nm985eu8/+77NKuKzFi+/Kdf4v/zm/81L3zqFW7evMlrf/YlDmc7dE3H/cV9KbSkeaBIvjjOS5ydjNg3LGYhZImZc0ckdduGMEDC3nvyPKdpGkaJKd+TvsbjMWIol8ho1iRDek+MgclkgkvXGqOYaI/mOyzu3hPQWSkhVJlEntNawDeVQDgtOXNI8htvfetbfOPLX2I2naCtYb63y61bN3n08Ij5lasizaM0LvSAWsoXtp5RX+Tbznt6DGKQ2ntaDiWcltneAXUHX/7S1zk5O8UXU6Z7uxzs7PD8p3+YG88+Q9QWEz1f+vI3WdUn7B4c8MEHH9Gsa6bTEftXZrSrBecffsBrxyfE1vPcJ17i4Ooh0919tLEI/1UIbD0ilk4DBhiZIUbqp8eTbmlf0O9f0RennlSg6k1BNzr9oNTmTTelKCHMdK4V4JUgWIq1oG0CdIGUg/WgbF842QyUJ2B+JC8avRUHshX6pBQmhtR1rS4CzUpdWit9YPu2qM3tlPcZXsiQsys2YHaMfqMkEDed8sZmaJNt5tfwdNJ9UhK3Ry+xL03Etx0aYQoLaG5EAAGLNgEysD6yripCXVMqjdVZn0bL/RueWxwwpF6uSRuDjx6TlWRZTRcDFgi+I8sMrq0EtDaeGO0mBxy8j/rcf2tQ/Use/9Kaw4/9HrXR6LikuynBzaa9K8ZkctQvUunhZTYnorHljLwo8XXF6vQR1dmC5ekJq7Mz2mqdFnSDCmpgIVyeNNJuBvOdXc7Ozggh0DTN8PshUSHQNRJg+gQy92xJEX2XyddXOdtWXJYlUFcCbqI4OjpmNh1xcLCLzSDKCCI4Mc7aXoS7rn0MhL3MnhJ2cUNMA95ok6qOiUmhDSiDD32VM9J1rQCwPYiqVGJSGqnkJhdHqzNIjsTDJtE7Qm4B0/3z6jeLIdDXAhaWhWY6HVM3TUoS5DO965JGiiwEIQijySQTvz4ZjgjLsGkaeuZ2nueslytsVGIiVoijtU26cwLqyfk41w1adeNxibWiIRViZLVe4bog9z7d/L5A0HWe8XjM6nxJmedikpUpuhYa2w5FBKUkDFBPqMo8LQAT8Ni4kta4CDHQ1DVXDq9z8+UXQVle/OTLTEclrq4o8pzX73zAzRs3h3bLECInx6c8ePAA13VMJhN29vaYz+dYa8mLOQoxrTDaEkJkOh7T1A2BKIZy3ssGFQIxeN78+le5/cxtuqZhuVgQklTMYrHg+NEjlotFaufSlGXJjRvXsCnYKoocYzSd67BaxkdeFlgrRYAiyyhGBZPZhKwQ/VSTKoD9mhXTuaAuzoF+XREQVaW1PT72/C+vjSHG1BK6KSpceK8nFNcujiZh78z3dshyYT0vdhc8fPSQ9WrF0dEDRuWI+XxOU9eYLJONJjECtkG04CTgc96l51OkgopIUugkK9MDwcYm1pCcRkrrVFobpVXx0cOHHD98yOL0nKMHj8hsxt7BPlevXsUYM7C4o1bM53Ni55jNZ7Rpnndty9npGdPZlEcPj7F5zlTNyMtCWKj9PU2dHH3LtOjtRXKl6DoPKHyImNGYvb19VlVFILJarih39wbZDq10Ausjj4tB/aAfvbasnLfNcsr5DqcPjzg4vMrJo0ecnsr+5kNgNJ+TT6bcP3pIMdvhU1/4Ud598y0e3f2Q5158hrzIpQOm6zivOvRkh6/97u9y7WDK3pUruKahXq9o6qS1HxWtczilUD7QrhoIa7Q+IypFnpdMZxMIAaPBNx3jnR3O3n2HK69+nnt3P2R1vmIyT3Iik4LXvvQnvPKXviCO2TyeRPdzZVuuZTPnkvb1VihyeU5eTs43fyfFjcuu208C7S4fH3eOlwPb/hCpBGFK1efnFEWBtTk2F23xba3/mFgOKjEefPBi5ktEGWF1RLUZA8E5gnVJM7SX8Lp4bqkRdnjfEBNQpg3KRLKsIASPaxtiW4ExoC2qrVOLsUabDJ1laCes0ywv6DrRRrMpiRb2x3bsEhKg1K+bfRGuBwY3++kwwp8AoF7+evsz8nwDTvygHh+3ylzeWy4fPhn8uq4hOAHrm7blfHHM2fEjxtMd1icPUFqYgPlozCc//RlOHtxjWmR8/Y//Ba999Wvcff8DqqoSoG5U8uxL97m6f8DV61dFezMEQnVGnmu6pqZeN3RdR9NIl1zXdZTjAtfW+BhT/CsFCwFTRHrGdU4SJiWECu0jxiRgVusE9giQ6/0WkzUK+JQlI6SmbRlNdzk9PZWuo90d/LqSuCEo1icLjDEc3LrFpz/1KQ72D8jLnDwXFt27b7/J61/9CqtqzSgPEgtoTSAMxcbcAN7TVh1N3eBdwJoMHRy+rdHR0nkpurZdh9U5z3/m0/zkL/41JvNdKfa4jtA57t55nyvXb3B44xkAbr/4MueLU776L/6I6c6c4B1+sRCT1pg8LUJH3SnyUQlWU9cVeV4wm85YrWpaf856sSTYjJ3WMy3m5KUidI2Y3qCxWokUW4xEFYR9xFaOpUUfuus8TdcNsnoxxoHo0XYWU7fCytaKsswTc1rip6gDZmtdCz4QQ9/ZCL6XlmgdKst55hOfRKl8GMMqgk4guu7nepRs6+nbfbkgsXB5zn6nvWL7NRf2DxIYERPZLQRuPfscDx+Igdjx0RFay/jQxjAej8nKgtOTE/7v/9F/xEdHR6xWFW0qzP7cL/wif/2Xf5nDa1eJXUe1XvPWG2/yjde+wU/94s/z0nPP86d/8qecnS+YEJiMR3RNx6goqFdrJvu74COj6QhrckwqXm5LqAnOsUWiYOM1s7ne7T1xwzLv38N7lwhYEsc1TZeKDp0USNYVIcB6XbGuGlwqTIgZXMR3Heu6IS7W/OHij3j08BGZsRAUdag5W634a//qL/PTP/9z/J//w/8Qt1xz53hJdA6lRSu5SDGmTxIzSikp1rg6xVkxnauYn/credu1xNCkuCRitGihg8Rk6/UaraX4tH1veukbE7S8dcq9hAgWsUoTleHZF17g/tEjKudoksZxWRYSLztHrnXSMwVSB67EMZYCRfSe+XRGUWTs7M65cfsZ2qah9YEb4xFlXghQrbPNHFSb8bk9ri/KWKp0H56yI4JGoXXOR/cfUS3XjMoJKxdo1zXrcodnXvkMRW741te+yvuvfZnQ1ly9dYvnXn2V9k//hPPzBVZD9DNc43j5xedZnq94849/j2/+898Em3Hl9nO8+iM/ygsvf5JiNCEbjfCpm7wPzC6se0rW7wF3eQwkla97/4jtpeRJ8UL/mo9jjMbgUhG/Z+M6ARO9w9W1dBPpja/UABD3u0qPOSaAN535EIuq9DcbfvLWOca+MEgCVJFYV4k6QEz3SMgLQpASzDTFkn1O3t8I1XePb4hbauuag/eQuu669Uq8dWIU+UiTYWxGnhVYW0Ii/qmEQSqkE0cZJRhBlhNVpF2dE6sFWXRYNYcoigZaaTBW8k+bk9kO56Q7VxuHySRz1mqjobyFGCccre+eU5jcYpaBNigqqxh5T6zXqBiFIJbuob4wV9WALfRj/jLD+uPGzXc6vm9w+HuqGg0nKqNpWHT6ICNElAqpEiFIvM0ydCYBjjxA0aJr6op6cUZX1Rw/fMjqfIFrG1zbJY3cOAxhpbRQxxOQ6b0fqnLL5eqCs26vi6q1MEWd6wOfmETwN4lpORJnUO835nNKiTwEbG76ZDaibRrysuDo4SPKMmMynQoDxEtbuVEbDSNrs2Hy90ndNnt4aEdPm4Dovkoy2QvcRzRN6+icp6rqoaLfgzrWmtRSL7ILAqYZoa1rL+1CvYHbkLjFASjqE/Msyy6AWn2LkRgWKWazMU0K/uV8W2JKbkOS1YgqoM1Gt1XY3Va0qYgDEN82jQAcZTno2vYb03CeQTbUXpKDXsNQkQB1R5X0c6tVkzSgW0Lszes0s/mE+x/dEzfpKBW0q1evcXx0lLSYpdXROYctN0Zl361A8oN4XD7f7Y0/xsBicUpuS2xWEFE89/LLnBwfc+fDDzm4eohWUj03RqRQqnXNnTt3WCzO2d3bZbqzw2w2YzyZMJlO6LxDq0hPjLDWUq3XtG2LI1LMJlw9vIn3omtE8LjowXua1YpRXrKoFpw8OmGxWHBycsZ4OqHtzpjP5+zszCnLYksjWIonZVmS93rIVpLXsigZj8eSRBa5sPkSS2BTGZVdS/X3SjFUG3vGXUhMPbW1oW0HT9vsiWEhVlvA79b86Z/J5e8vgwX9Ij+ajrme54ynU2xpWSzOadY16+WaRyeP0jUwuLzHyLAGBi+V0xBE73e2M2NnZ4e8yCnKgnJUpjbbvntAzAnTYBcQK4ouZPSRJplmnJ2ccXq84OHDR+RZznxnh2I8wtiM8WjEaDwmHxdyH0NkcXpKlufMdnao65qu61ivK05PzogRRuNxYnNbTGGGjbM3hBnuryK1HBlMTAYpzoPRjKZTxqMxtiyISlNO5wmYT6YmPbam4lM1h4eqdvpKZyNCiDy8c4cHH3zAwY1naLB0KqeYTnn1R36Ur33ta4SgOL3zIS+88il+4ud+nm9/6Q/BddLCGQPVao0Zz7j37rvsz6dcuXod71uyoiAvyxRxCkOpa1vquqKqapwHW5a0wYuOtVqy23Yc7u8lN/Eak42ZzPc4ufchz736KY7efI1yNEFlitneFd5//x0ePrjPlWvXnggU9nttXVeJ9b4BikE9Bu5+p8N7aeWWvVandrZL9/gxwPfjQeLt18jfbH42nGOac1FpiqJk1TU0rsFbi29z7HiKNpaAIaBEEiQGooKYzCFR0panszy5ZpeotsO1NcoGgm9QDjASxCptUidCD7iHwfRv0D+LoJQBk5hT0QsY6Vpi1xF0Q9CKmBWofCSa3zpHmQJtW7TtUF6KRMF7lA4DY1HiVN/H7ujkVBBSrKB1H+MoOYftHOJjgNLtYxvwf+oApgvg+ZPB7+FIPhWuq2UceCf3L3hCW7E4bsiNMP5G4zHOeZbLFe+9+z7f/OIf8/D+EXXV4nr+UgzUzZJvfPk17u3v8/zL59StrOOhWoJSrNY1MTAYtDZVRde2LNt2kCaA1Cq+VXwUzU35nF4TWBiCSV5M9UbBGW3bbIFE/gKo1EutVXWDzQsePHhAtVqTFbKWF7Ndfvwn/zIvv/IK091dDg+vSmxmejae4/ZLn+Cv/Pwv8sU//ANO7n3I6vRMCqNNPRQsTabw0VDHhnXTSUegNkST4bUhywq62LD0nnVdc+XqHtdfeI733n6Ll199FVOMeeetN7n73gfcv/chP/+v/DLT2U56xprZzi4/+Qu/xNe++EXe/dbrlM7hupaQyAaCBFrqRtak8WROU7dMZnvcmOzwQz/9Mxxcv86tZ26xv3+FLM+lC65raFbnLE8ecnZ0n9XJIwwdRokxrFZS/PGpiNTnKG3bDj4fMcbUvq4HYMlaAYfbpkWbFaMyZzQSkkWRmQvgn3Qc9v9JF2XrA6MsZzybD+w0SKyoeDkp7WOtp232Pn58p33hSfP7Mru2b8XeMOA0N27d4vf+2YrDFE8/evRITAe9p6oqwnLJ4mzBumrIQ0QXGTWRDPid3/iv+bV//F/xzO3blGXBB+9/IHIR1lLkOSpEcmOZjUZEqzF5js4tVddx7eYNXNOibYYPoKNC/HbsxdiWPoff+GxodRH0lj0mmVaymeebnDwMXb5t61ivK+q6oWnaJG/nWS7X4kVjMjHRbRoCosW8PF9h85zlaoXNVxwfHxNTJw0x0sXIj3zhR7l39x5vf/stpllOYYQQ0dYNZZFTVc2QR5vE9ixHE9arKl0rhOAkbwWatkk/N0PXnzHyTAPSKSGdW5vYwfXdp2mOKaVo6hoFuKbFqU2HbnBOpDO859/+X/+veOutt/n1X/8NxuMxJ48e8vDBA5q6wigYj0Zk1lItFpRFzngknT1ViORFzijPKYuCEALvvfcueTnipVde4Z233yErxpSTqTyjnj2sVMr1Y8qPH89Ttjslv1fd/B+EoychmrzkCz/1M3zxt3+Dxek5XdRM8ozDq1dQOP7R//P/xtnde/ylz3+WEwIP737ArZtX+MSLz4APnC8WrBuHMjnZODDNNNPdKdEH6vWa+vg+X/qn/1/+5Dd/nZiV/J1/539BubPPYnGOzTKyosBkNqVUglgFpdA8fi+3l5WLX18EfuUf+VrrxxndA1YYI++/9y73P7rLD33uc2RZQTGa0IynxGpCc77AhUDhPUU5RtlMiqlKb3Di/v0urWWqh3ATMK369T6BWgkBpAeYURAJSeM6EpVJc23r7xMKrbbQ8uHaLz3bbWqxfBsRaYlAV1e0q7MhVvSdxqGIShOnUxh5rB4nc7ikRwykAFy6IFFYFcjzgrZyuLZFmUo+TyfCkjJgZT4V5Yi47uiaCmOlYxmjksybGrCFx3aO4dkaVFGSmVLW1dARQws6J4ESQ46+ec1WYQF18Sb9Sxx/Lubwk44LlcF0A2TzAPoNMAZxt9fiUm1thk3uxr34eogRtCEGcF1NtVrSVRXHDx+yPD+nrYUOPwxLpYk6orbandnacL0PtE2b7mVIbJyItiIHIVrAGqUCLrkMCyjb64wGqqpK2lwWayWoKopsaPnpdZVG5SjpBYk2ko8Bra20fIeAzk1qa9uWk+jvz2bR3Q7GNhuzJibR76IQEyDvI6v1mrZzdN6zqkQ/0HUu6XRGrJWAWHQ6NZm1ZMZQljnGKGxuk/xDTI6wm428b13tN4e+ZUGri0CYNpAVlt29Gd47FJ0wUrQjdj2o4UFFXOwTCRnEUZHkCPZZVxXHR0dMd8aU4zEZogdt0BeFtQABAABJREFUkj6UAOnCNtVaY41lMhnTNKIJ5dqOum4kIO46mqZhtVxxcHCd09Mz2q7DGJmAxhiWizPyzNC4js45VqsVD+7dJ3SOOIeuc1Trhp39lBDpTQvz08QYhk3h4TKAKXPUsa5WTK/uCaOMyM6VQ176zGfoYuDeyQnPPf8JjBLm6Pl5xaMHD8l0ztVr15nv7rB/5QqT0UgAx/EI3XW4pmE0GdP6QNU0zPb3uDLfZfdgn+l8JiZFKFRwfPj2WxSTMdX5mbRm+DWnJwvOz85Zni/THNVcuXqN3dl4YBppoyjyEq01WdIPzvOMLM/ICmHG5mVJnhdScDQajN4wWeTmbFoG1bb+5cXnvA1OqX4jewKYBH1FcMOw6OfQIM+iN0aTlwHm/hjWAS3jPTcFe5lhNCtZr9ZUyzXLs3PWVcVieU5d1dTVWhjRyhBjoCxHZFZji4LxaExeZIzHIzEKHI8oxyV5kaF0qm72hSW1medRMTCGu6ZjcXrG6ckJZycLTh6d0jYtZTkiH5UU5UjW9UzYXF1ipudJf0oZIxVca4ZNf70StsV4OqEYlWhjU9FKOiKsvjheB20lJQWdsiyhMKzqNaXSHFy7hvMOYzL2rlwFbVJO2iPDgfjY7vyDezy+1ogeWNt2fPjeexTa8vDeQw5u3uDWsy8QguNrf/xHuLqGEBkrxQevfYO//Iu/wJ03v0G7akRKIHjqqsLakq5pmFy9gg9StA0hEryTcaA1aEs+spSTKfPUzt3UNabzjCdjeikJ7z3GJu191VCUJUf3j/jsq5/h7W98kRsKWhfJdvb4/AsvYbNs2Nf64/J8KsvRd7wvH5ekb/9e9twn/80mdrmYvG8XdT6OVXx5zm4H7CjphAoqkpclo/EMX1c0VUOzrjBNy2g8QSUXczFkFYaHNQqdFeSTORiLVqCtlVb9PMe7TtzedURbi6JnHfdBaN8WehmY2brHAEqT5VJo8O0a71qUtXhn8F1DZgvZE5LWmrGWmOW4rpFn7DqsLQaGcNyO90h7f2LBipmlnKXq//6JT+7jn+OFnz0lW3A/tr/3YlTEKIUKArJ7L8BBjAEVPaePjpjN5jAaY4sRq8UZv/oP/yG///u/zxd+7Md5dF5zdLbEe4fNS+bzOfsHBxxcu8p0OmU8HjPfnTOdjXGm5Oj+A3b2D9gbTyjzjKpekxnDv/it/4az40d47zDKkmV5kmnTZCmG9S4kFrHB2g2QEJGYVSlpAe+1iAG6rqV/eJu5JtIUikizOKPzDuUdbeeoO8ezL7zAL/7Nv8nLr36SLM8prCbTMe1d8r5GWXzoyCZTfuYX/poYpSYd4+XyjKqqmEzGjEdjAgKkxiAGu6LvLN0U4/GYoiwJMbJerfjwvff4vd/4Da4e7nP88CGf//GfZDKecPOZW9y4dQ2bbZkCRQhagc145TOf5eYzz4i0ltbpGcp4MNrgui61i6duuaJkNJlIe3Ls75+MB0XE2AnFaMpk/zrXX/wU1fKMo/ff5Pjeh+jQYZQU4qPJUVER4zmdE8Ctb+HfFKt9moMeYzyZVfjMkBcZ63VDta7Ji4zZpCRLwFYITuQpvBQiFIaqaThfrdHj6QUjScERei4zbCbrUzJpv6ejJ0Cl754wv7eB4a5zGxNx+rEfBsnBGCPznR1uP/cc77/7NoXuzcA23a5aK5qmxvqAcWEQycq1ZjKdsbaW5vSUGhhnlulIWKdaaSyK0mY0dUWYz2iV4vD6dW48c4vTo/vSQaI1QeuB+NR1HYUtLmgJK8WgQdyz+S7ugxufHDlnLXMxyRUI+SrQ1KKxvV5XVFVD2whz2HU+EYw8q/MldeNonKNNvjR123H+6BGt9/zUz/4sd37/91mcnWGNJctz/vJP/zSvfOaz/Jf/8B+wWq4pp0ZA49Q123lPnsm6YYylc575dEzTtOzs7Ip0netQ2mB7TCOEZAqnN8Bv22KtZTyf07YdbAHgXdcl+b04rH198YsQRMrCB0wCL4OXIs6jDz7gn/zqr/Jv/N3/EZ/7wo9y76N7fPFP/pjZbEqeWULX8l/+o39E6x2z2YTZeEK9XqOjImhPVze0mWW9UuQul6jAGO7du8fh9VvMZjO8jyhriH0ncExFHA2ZzYbC3pNinst5zg/ycSHPtTnFdE7tPB2Kz/3ln+D8fMEnPv8FXNvxla98nRdeepGbn/tRprde4p/8g7/HB2+9zfMvvkDVOpELUQqvMqrFQ3KdZJNMRBlDgZiB1+uGdbXkN//+/4tsPGF9dkY+mnBw8xbPfuJlsJar129SjKd0zg2d0EBizPbd9k8G4LdjUolXexy2j6fiwNLtr11rzc1bz3Kwv8/i5ISiyClGE1Q+ZrR7SAyB88UZrmth1mHLsXSqJYmJiBAwBXHbyFNATJ1syPiJPdO5L/6pHrGlv8Cefqj6okTqqO3j5pg+RUWV3jOtjakDXWl9MWZUDMuwDOO03gaPayqCa1E2w5ZTbJ6LLGxbsz47Bt+iZhGVTwiIWWtfzOxXduluMmRFKfF51+KatRTsU1EVbcHkqCygkc7ctq1puwptFSZoIW6onlh2af4MwLjk7R5FbjXN+YpsXMqzTt1PJr1eXdJMlv05fqyZ/J/n+L7A4e/EdtgAhZroNolBSCZgIANK5wVRKcpyTD4a4WJMOmNJL9f55KgLTdfi247zszNhDHcNMboBJu9b46Xi1TtqSotlv8CJNrDooBR5IYF2JwYswp4SQ7KN2RsiNbBapRZ62RTKshgSzCzLaOpkrhIDIQiLqe0aiIgG6GjMdD7Htw3OO7LEtsiLHBDN3aZpKIpiCBi3N9h+k7nINFEUeSFuqiGyXFesVjVV3dB0orGbWSstw85RtzVtpwaTPqWFaZtZCUilXSUtJUqhJLJFazbaQr22YQLGBvZs/0QVqSU/UBY5Ozszgl9KO523uBQUxKSPFpE2cGOE4WRRrLuW2DRcu32L88WCq4eHhBgxYbMIKS3AdkRje70oJULzEMltRvCBal2hrcFkGevVmhgCp8ePcMkNVytL2wjzvMgLWi+SE13X0VQ1XdMyGY1pm2bQdtL9qvGUH9umAtsgSNd2oGB3f18q8Egbx7MvvcT+4RXOjo9RVcf7b77J8fFDPrzzEevVkr29HfYOD9k/PGQ2n6G2NP7QirwcU3eBaC2f/Nyn2LtyKIWfGIYFWAPnJ2ccfXgXG2BRt7gYOTo6Et2+01O895Sjkp35nFEpyakUa0QuZVTKAlqUIi2RZcISyMscawXYsHk2bBz9Z/eBLSSNwS0ZnM1mK8eG3aE22lvpexQE4tAhIO2HKdraer/tirusN2bTVp7WKCkCXXxOvemPUgqTGcZ2RFkWhJ057cEBTdNykow5/cD4lWqsTUaV+agkyyxlWSYTnEzceLUUX7aDfMUGCEclU7cYcJ3jfHHOcrmi6zrquqapG/rVwHsv3RFWwN9oNLuHB+gIZ/fvy30MAe+c6BxmGa7rhqS9XlesFktG4zGhDANrOAwMJFm3BKiSZ+WSdnxeZBzeuCEgV4TjowfcfvElJru7cu+5CEQ9JfEtkJLIra/7tc8Yuc+z2ZT5lUOefekldg6v8/4br6O6ijKzw9+fHd3nn/5X/xVttea008zqBhe86LO3HdPZjNVyyXR3nthCMlaD73BdQ9t1svZLdQ1T5EzKgh2b0TU1xIDOCtEjXC+IQfRyMz0mOsfqfImOAuzvXLlK17W8/uUvs3PtOXb29ofxDY8DrttFrcsM/f7vn3TPnnRcBIO5tL/CZQC1f83lc7r8nsNzehIATUSZjNHuIb6pUOtz2npNV6/o6nVqcxOt02AyfLQU0z1m157BTnYgaZ1ZmxHynOhyQuFoqhWu9dIF4T3a5kQl0lOQzIG0FnC3X/NS8UdrPaxTwSuyfIzyHU1Xo5zF2gJcl5zldeo0MqCl68hmOV29pq3XoA0mK4lRuolQm+dFjMRkQoZKHUtqO97hMbzocQbMk+/708Bgitv/+x4Wnf6ehOAFHEYRfFpjQ0vwIqcRXIvrcmyW85//x/8PvvnlL6NC5Ctf/CKf/MxnufP++1ijmY5LMqOolgsWRPxyRZhNqI7v89a64ux8SasM//O/9SvMdnf4J//o/82H779PU0lHQR4iD48eUIxKpgdX+NSnP8XpoyOO799nfXYGvkPFxPq17UAgUEY08LbjjLZtZQ8zJsWFfXyVAJeuFc3R6ClmM/afeZaXJ3Pqas1zzz7D1YN9fF0Rm4az9RKU5ur1GxTjiewNWkuypkAbhVI2dZxFysloi8G0ZfycSA99t50N0t1GjJjE9rl28yZ/53/278h1oWjrivlsxqgsBgd1HxIgZCy+adAmYzybMpnOhmfbuZb1Woxgrc0vPPftJDdFvJsBpDZtuQBGKVCWyfyAyWf2uP78y9z/8B1OP7qDcS26c5STOdoco5Tknt732qJSWARSvpTa/lGMZxPWqxVWi0zXet3IGm4NWZYDQQC8pkOhWKxrHp4tuXr7OX7pv/crjCezHpZI19uhkPzqSeP8aTi2Qc4n7DKbf9IcV4lYNMQtSH6qtcZHiE68awgCiBgUMXUnEqW79Kd+/q/yD/7jt6WwEUUmsJfxSQ+RkIB+yU8Nucpou475aIwPgXI8Zrle03atSITFSJG6Lz/3hc9z8/ZNXnjpRd568w3eeO3r6OiZT8bUzZrxKEcZjbHJhyLljpF+31TDRQtBa3OvpLuuB3USYBMCwcUBIG69l27e1Zq26VithQ1MYgvlNud8uWKxXFF3HVXbgTE0LrBcVXQKnnv5k/zMz/4Mb7z1Nn/jV/420/mMn/rpn2Y0njAajdDW8tGDB6zbhpEbE7uWaZZhlKFBk+UFPkZm+/sc7u9hlOLk0SNidOS5SDCG1Cnsg0udp9JtpbXBKOk00EpzcnImBSAUSov+sI8BHTxaq1TIBaNT3iu8BgHcNNRVjdKKcVmiWscbX/4S/9cP3mO2t8ern/kMf+tv/y0Uotv/wfsf8Iu/dM7hwQF/7z/9Tzg/OyezGTvzOVXboRG8YjQa43ykahvGOzsURYELnvPlkul8B5TCJe1n3cfvCSe4LCdxGffpSS1Pw9GD8QCHt57lV/7H/xZnR0cEMnauX2O2t4+Oiv/N/+E/4OqNQ0IIzHf3+eV/7X/AV3/nNzg9XTAqS06Oz2g8XHnuExy//x6T3AjhTxum+3uUWcbq7AxrDDvzDOUq2tMV2keaRc3rH77H+1/9M/HBOjjkkz/yo7zwyqvYckyIGtXjMB6JmWwUgkvCxR5fLz8u1nz8eSmlJB/OM7quYXF6ypVyjDIFZrxLSSRay3pxzOLsIWqRURRjitEYk4nkoB/y3AQAo9DRElWSTpRTSh33slb0nSwbIqRgTIMhHX0BkQGDkpOW8Rf9RgopxoCOJsWNhu0cYLg3aVkKUXLMrmnpfBSj2NmuECRjxDRrUML4tjbH6kJMnY1JabselnalNdFY8egoSyFIdQ3K1FhjxexcGdAKbSwEi81zMWyulsSyJGQZBNDpnjx+pHumVDKvNnTLpcjCpnhQswHGh0xlKNhtPf//FrfVP7esxJOSsyFJSi1MbdrMlIIsL7F5jjY51mbivh0iNitAyWALsWeaRFzb0KzWrM4XVMtzurbBBSdC02lxEl3gzSRRaiOm3lcvQwiUZcFkOsZmYpwTnCNGRes8p6dCO9daGGhaGbK8YLlcUtd1qhyQAGw16OE2dTcsnn1V9fTkmDzP0SiapsWfLShyS1lkZMagtbR5KbX5vAFU39LYHJyAtxbqGMEajbEZLgSqqqWqO5ZVhesceV5QFgU2uSCL+/JYKq11nSrPon04KkRPKqTKE0Um2qxaE9Le3/9OWwNBDwMRkmahSkzDBHrrBDJNx2NcF+i6hrbVmLSpep9cysNWVSwVBlZ1Ra4VB/sHnF+7TmzbJH+hcd4nbVg9VNVCApohw3t5RhqVAEAgQls3+K4jz3K6pG+LiugsSxutZbVc0rUNXdcMlfuuaakjrJYrrt6UhqOQfuc6h94KdLcDx6fleOLGYTOKvOT3f/u3+aEvfIGDG4dkNoMYmY5n5Cbny3/0RyzOz/noo49w3jGejrly9Qp7+4kFbAxWWwEmohi1KGPZm864cfvZwTARGKpeikgIjocPPsI1NWcnp6Lf7aSw07ZS9MisZWdnxnRaAjGB/4n9bg1FblFGMxoX5IWwm3rJFmNEqkaSru1gJw6FDkhjuq/gbm86W2tcL7WijE6FsJRk9Wxia6UFZNgIuTC/LzDf0BDFqbTfkPpNNKYNdQDF+nRRbQpHWiuC0Zgsp5yM2NmdpwTVXWgB6002tDUDe6Fft4a2/CgSN9vO5EM5JK1Druuoq5rF2YJqLeuJDyGZ3KQEP5J0UyNo0LmhmMwpsoyThw+HedszWfrPcc5RVRVzN6NdV6xXa2yWMVJjjO1VU3vA3ohrcwhkVvL81nesV0tOTk7Zu3LIJz/7Q6wWK3auXyUaI1VoelpVX2Z+ehLU7WNzzopnP/Ey68VPsjcuWJ0viM5zfnxMWYwoJlNU2guVMZgI7XpJMSp5uDihODpiNp1grOXRnXsc3rrJvbffQn/wIeWsRBtDW7e0XSeyPyF1lhDIs4w8mZF6m6XCoiY4L2wIW0C0IiGjGkKEb3/1K4zLkmq9orv/Eb7raBYnhK4dxmN/fBw4uAkyeeLvN/fo4+7Zd7+vT4pvtou3/fd9RjyQJNLnbscimxNUZOUMvWfo6hW6HGGrFaqraOoa17a0riMoRTHd59YLn0LZHKXF4EQmosYWYzrn0ZnDBpFRaus1oaqwmUd1nTiR2yxJUiSZmJ6ZoMULoO+6GoxGlJL5mpVo5+iqiswU+CwH3yRmpBL9NdekAoFotXVNhTFW1nZjkyFhYsCEiIqBrlnTVitMMQKTCdNCGTZM/ic/ywuB/xOf2Xd9rH/xRwJz+pP9OLb75WuNyXzYdy1VXZNZS1Cacj5DnZ+hUWTjKV/74hd557XXGY8mONcSXMcbX/4S+/MJhbXkRqF8iwqObuVZNit02MHmI5zzdHXHen3C/+X/9H/kk5/9LJPdPT73I5/njW+9wf17dzm4fosf/vG/wgufeJn33n+ft996i7zIuP7Kqyjvef+Nb3Py4D6581gn8l82y5L0xEYe7QLINuw9m/24cR4fNVduP8/utUOOjh7y7LPPc+v2M7z79lt89OFd3vrGN8Q7QisODg/puoYiz7lx+zY7u7sURUnrOkajMTbPuP3ii7RNw8MHR4zLgq7z7OwfMJ5OUodgH7uKD0bv0i7PQc55d74DxqKQ+FZZ6azyXUtYSkv9uml4cOd9PvzgA+rVmrpeUuQFh7dv8/KrnyZ4iWdciuePjo64cePWhed/uR203+slVEl8rTRfNwAdRK0pZns8++oOh7de4O5bb7C6f4dYrZhMxyzPl1TVxghS/BmKC8+jbVuapuXB/YcSMylDXddSgKekWjfkWQdauunO1zXn64YuK/k3/t3/KZ/+3F8SADiNX5HmS3EAbBW7+wt8umLm4UgxJMg1RdW3+KoLbDC5DQGthHnrnMPojCLJGgUfiL4jdA3Vei3AffAixxZaxrMJzz3/PF//4z/B5pZyMqZqa/FZQfIQryJ5WaDcBrA11oghewSlDZ/9zGexZclqdc7R/ftM51Nu3L7JqCzpXMM//i/+AYUx7EwnlFlGpmE8yrFWTCajilIoUXEAJfpuWlI+1I+pzdzeAMNiYJmGbYgSH3QdVd2yqkTyr+skP1Va06bOz+q8kjzZ2sS2zgSYqSt+8md+ms/9yBeYTqa88847jIuSv/ITP4kpMn79N36T17/1Lf69/+2/R1GUnK8q/vf//r9Pbixf/uKf0TU1L7/6SSbTOZ/99Ks0dc1rX/0yx/c/wijFaFSgImS2SOtxSdM0dJ0828zmdF03dCh7HzDGUuQZPog5rs0zbJ4xGpUYJfrGWWbJMzOwkYsiH5rZqqoiGvABvHNo75jlGbtFwXM3r/Or/+jv8we/+zuMpnOyrKQoRnz79df4m3/9r/Nv/t2/y5tvvMHdD++SFQXr8wXRdayalnB6xmQ2ZTQZs7+3j9ZKDKRPT8jLESaT7u0+gEkry0Cg6WUw+mO70/FpOTZdKTF14XjaznN0/wGv/NCPMNk/RBtFxHDt1m0e3H2Pr/3Zn/De17/JGMPh4RXyokBFxeLRGY+qhk/+1C9ycnSf84/epywLtBZz9SzL2dk1tHVF3Qgmo6IQCSdZxsFsQtO1VFVFc/8Of/hfvMXvz+d87sd+gpc/80PM96/IPmPEkFshnimTyRhj1da604Oim2uEi/Hmx3bUKUVejAgs6NqOvJxI8QIY2wydZ3Trc+pVRbU6p1uvwFhMlolPTzJGjFo6b70KAmhqNexPxhiRUkOJOUzf/dKTAKJ6PNYZcu3UcZTA3dC1qdAm9yMqUEFJ928CweXzNt28MpzlMyPSbZflguuZYpSkKiL4Dte0tHWFtiW2FAwpqOS9k+IvEqkBAzoGTJ7jXDvEvV5pjJJ4WCV/DmNT1+x6SXe+JM8nGJNLsU9fAvqVlNgCwkCPIcMWI8Hr4kZIMMQonUFbzOAN2W8LV3hCULxdoP9+ju8LHN6uJG1/0IWHkyqHMUQxI0Izmc6xRYm2OV1TC7suIvqmW1URpRRZcmeu1iuW5wvOT0+pVkuiD0mH2NP5jujdBSbgJqiLSddO2lWLQqoNWqsBuOh8xPlIMZnhz1aUmSSyWmuW6yWmqsmTZk8IQQzhglQje0f4PM+GdpGeeYAS8MMHhTUZ3gXIpL08xICKwngMwQ/M5izpo/ZgcH89vasrfeVW9bq7YsJU1Q2rdU3beSbjKeOypMhztBHQ1nnHaFTivGddVZyenNI0rYCzUZjLMelu+uDZ3Z0TosdkGd65ZPimxDFScRHcUluaw1pL9TuKOL/RmogSNm7rEhguga93EiCrpJ1srGW+M+Xnfvyv8c6bb7FaLJnPd/DVmh4SMqE3nXMQpeQaEDCvbVuM2WjB2lzOves6kaFQAsDX1YncT+fp2o6iSGZAyX3bpmvTMSnWhCA61imxMUljSpL/yy1UT8+x/Qy33WiVMYzKEX/4e7/LeDZl//rhYGN076O7vPvmG5w8eMD9D++yXq+ZzmYcHO6zf+WA6XSKsYY8L4jOk2cFVdvgiDz34vPs7u1DMgKL6gldD85TrVYUeQ5RGMNt3XB0/0Eyk/SMx1NG41KYFkZYLfJfhs1sKopkZLkVOYks27TqaGkX6fWFtzemnrW03X7zpI4IuLTRRmEUbTOxR+MxTVUNf3tZD3V7jUzv/Fh1vmfvbkte9JpOsin038U0ByPKKIhybZnKKS6cJ8McjfHyOnnx8Gku9Ne8KUqJcVxdVayXa1znaZqGppGkR2lNIAoA37OonNuYyFmDC7Ip6kyKgto0aCOdG85JQFDVDXXdUI462qZhtVwibHBhPPfFIZmffhjPAnb7wYTy7PgRSltuvfAy5Lls7CTj0O8CNv0gH8M43AoEZrsHfP7H/wpvfuVPOV+c03rI8pqdvT1uPHubRx/ewXqFKnKm4zmnD49YNjXj+Q73HzykyDKyXGGT8eD85i0e3f2IbF1BZiAzmLxgPt/h5u1n0MZw9/33GY1GNE3N4uyUcPJQAjiigB/pHltrGZUFeWbRecakKNEF5GWJc4Hz8zNi7N2vN+DrhQLKE9dZ2eO/V2bw93Jfn/SZj7/HxeQ/pipkvyf0r+2/v7jOaExWimFFOcZ3c9pqRWjXFM7hmlpYSgry+SEmGxHTGqB70CgiBhqjBDZqWUyV0nT1ima1lDmS5ei8TAWhDJ00EkNU6J61pAwhqlSwk44F74OwgrVO+6L8F1wLoQSdYUxGMBkxK7CFF2mJSgJlZTIUEY0FFVFBTEad62iqFQB5MRbQ2/RSAJuupSc9z8dIBxcSoY2u8g/6MRQQvsPYvPwzpQwueFbnZ5CVOOeZHd6iXi3E8BHDZGeHL/3RHzJK6yO2TPceMTZJSb8wF5WYwxpFcC2Na6ibjlwr8t0p63XD1//0T8mKgms3b3Hj1i32d2fsXzlkvrPLeDLmZ372Z/mFX/ol0abXikig7Voe3rvHb//ar/H6n/0JtuukOy0T3UvnxQhuOpszGgto2zYt69UqSTlkKA2z/UNMXnB6tuT4+ISr+1f44j//A/5wtaQocknEo/gTKK2ozhdkmSG2kY/efJ37qfvG+RQ3GsMfAZnRjIoCjGaxrDhZnDPb2+fa9etcvXpV9pDi/8fdfwbflp3nfeBvhZ1O+seb+97OCY1Go4EmIqOYJEoWbY1kkZJsWZbsmZqa+Wh/mpnvHlfNuKbkmliWhlYqmqLEIJJgBgmAEJEbjc7dt2+O/3jCjmut+fCufc65t7sJgRrXoGcXGvfefzjn7LVXeN/nfd7nSTh54iTzoyMSm5BlIgNh05Tx5ibZeBOSFGM1fd+cTTLyQoyhs2LA8dEBDz7yEL7ruHbtHcqjKXQd5bxcGslkWUYxGDDZ2Owf8kpX8b7574OXtVOVeCdm1n1iaG0moEUPZmuNMZrBaItHPvxxjs+c4+rrL6HqmizNUarEh0DXtgSlyIqCPE2kY8gH0ialLEsWZSlkHlqS1OK8Q8f56j10iC/LdF5BPuLn/7P/nHOPPrYWrwScC2IIhLqHMRxY7ZtKqfdhUH3/Xf3HXBbplx9bCgh9cW09L+gNPqdHR7R1w87uDlY7QtvSNg3z+Yz9u3d46Vvf4I3X32Q2ndN2HT/7v/hrPP3sM4Su5eLbb9F5R9cG3HxBkqRUVQk+YExCbiXWSqwmywohrighG3jvUdZy9+Z1Zos5J06eZHd7g6osuXbxIkWekRjNOMtJjMYqxXg4JMtTAo4krl8xT7X3kCj6btkl8WItTlzGsNEHKIRA57x4XnhP2znqpqWqGylMtR1Hx1N0BIZnswXHx1M0It2onRMZDq2wBs6c3KWdTfmtf/UvuXT5CnlW4EPgdz/3OequY1aX/L1/8F9y4YKYQ/5X//V/JYQqpfmrf/U/4Gh/n8uXr/DKt1/in/yjf0S9WFDkKaMiRwfpPjXGoJWhiZIR1loWiwVJkizJYut7eNM0S432xFqsMRRFjuuk21ErkbQaT8Yc7O+RpTZKLyqc6zh7/gLBWGazBXiEhLFYUJYLXvzaNxjnA9pyQVU1nD5zjjQxnD55gl//tV/lB3/wMzz19JOMhkPKqmY2HnHnzh2KPKdeLDB1zZmzZzg+PCCrMlSScZANOH3yNFYrnBcSWCzhgFIYbZZdwz0YvN7FvG5O+P1+9Z/TAyo43vzm13jxq1+hns648NSHGKggJB3geH+f3/6ffhHlG5595jF0mjLd38day9HdPapygVOak+dO8+Xf28c4T9O0GGM5uLUXWfViIJ4kKcN0gA7QOpG3rDqHsQmjjS0CHXlVUh4e89rnf5fXvvwFTpx/iKc+9gLnHnoMh6EoCsbj0RL3Cz1DP6zlomr1R4yI4n7Vr9ZVHtfn+sVwzEOPTHBdy6Is0cHQYcgHG2ATbDEmG5U0iwWuqfGuo20qifGUQhvJuVAam+XSYWDsEhPqfBffXTpxtTWsmM/qnvylv7N7gO3gJb/zjuA78eFQKr6HJyiH1nbpJ+7vOzf719L92QjgOkzv7aUtxmZgxcC2a2raah4Zuwpl0gjH9oXO2IWkDUFL/pqkKW1ZUi/mEjPbVIoPxgruaBJUkqFS8Qbh6IDBzilhJ/eEzCWpRM4U+WxKTOWzApfMIGIGxhhY81aCFQ7VdwQSejnIVUz874tVfc/g8Poby0PQ934vgFGawXBE22YEk5ANJqv2q05GxSarliy19pree8rZDKs09XxGOZ0uNbOarhXQv+skEVFKtKN7lqsWoxljLN5J4NnRUdUlYebJslTa1lp5rTMXLnD3zi1ms5mg87H6F4JoMYqJGrK4yxJCtqyQ5Jm0WdVNQ5pkzOcLjLWMxiPyNMUoTdt0oBVl08mmqx1JCDgnm0oSgeIQZIH1YLRzHatJoAhBkm1tRHekbmqarqVuahJrybIEkxpMJhtT8A6D6ClVZYvrwjK4CMFjkwFlXZPrHK08TeOYz0vSzCLMvBSbaNGsS6QqCkGo7WvMqJ5VLax6Iz/jFYM8gZ0JbdvSth1dlxACBOfpcDRtJ5UQ4PbNWyhgOBrhm5rQNBht6RmGILqiqdYsypLgPVmS0DRtPLSk5QBgPp9Hkz4o/YKubihnc5z3dBGIVwqqWpjEQYPNUkIjlW5CoHMigzI9PmY+mxFCtzTW0ChWnMx718EH4bofBFl9TTGbzUiN5uLrb/DRT30KU1h08NEY1DE7OqIqS86fP08+HLC1s01R5IjXVxDQIUm4fbDPuQcf4uxDD2HzLG5OIvfen1s9zOV9wNUtoXW4qHG2OdngoNsnS1KaupGW+ckIpUR7MUmkvTrLMtJMKvRpmqKtIUmEIauNWbJ6+3tdZ+Kub6zwbo3v/loZJ679hzDytLZ4J1qF2pios/7dk57732P9c7xrI49/7QF1OQgEHNZRyqVHgPukax3Euhf0VqtA4x4wS73nHuy9xwWPbzuRfpgvOD46pq5b0YeLQb4P0HROzGncSgpCxlXRlIsoZSNSBSEgmsJRH66pG5z3wiCpGzoXizh1w0LNl4CbsawytXuARLkH5x1WI4WKJMGhsFEfThHuCareDyD/fr3e97MqjU4yio1tdrThxOkzgJi4jkYjpmkmXTLGMNraJODobt8BY5l1nv39A7a3tjm9u8O1q5d46EPP8PQzH+bW9Wvs37pFqGt02xCO97n+yiHKGHyA2eIYk2XsnD5FUjyMaxvu3r6JKytC59jY3OTmjess6mPOnNhiY2uTU2cf4O7ltymGI2aLiq2dHY727zAYDJa3s15sgXezeN8LLJQ1oN61pt6LUXH/mL7fz6y//nv9fg/2xVrOv9PrS4HUgCpIbI7Nx/iuEnZE2+K6lqA0Nhdtu3sKRkqAOIUYq/TPXsAhg9HCWGmqBXVXoqIEiNXSaaStgLFiuiVeDwLOyuGtlMIoxI/BOZGE6hpMdFzumgabJyIfYTOC82jTkuUFi7qkrkoCkBUDgrEotCQVdU3T1HSuJckHJMUAY1PQ8tlDnyx8lyD2/Zjk+oMADq/NHx+T7b574/75vbzPuJcHY+m8x9UVw8mWxLttiVeayakHuPLO28wP9kgyG/X+VuPR+1oAeOWXnR0qeKwSRkpuNU3bMj+a0TYOWkddlVzc3+Pyqy9Ttw1N50CJjv94c5MzD5zn4ac/zPbJE6R5xrAYcuHBC/z8P/gvefu1H+La5UvCdi5L5sdTTp05zSNPPMHm1jY2yySm9iFqls+YTacoBdZYZscz/uj3/4C9mze5/sabFHlBMswj6UChlY1SX5qurHCVwqcpSdIXGaQYnCSJgEsQdXhFXk51jjQ4wmLG8a3rLPZu4T08/+lPcvvKJa5ffJtBUUQgq8VYy2A4YPPUGZ76+CeY+8BwvBFZ+ZDmA1BCht9Os54YxWRnh3feeI2NjS2UiZ07SoF3+ABJamMs1M/r1fwOShGcY3p8xKW33uSt116lWszRrWNjPGBzc0g2GJANBmxsbzPa3iUZTMDmcc0bNk6dY7i1zZ2rl6j9S9hZRX08pakbbIDhwGF1Jp12Sjp8AtIBVZYVznU0bSsmf6kAdK0Xv5jgFYsOfvY/+U944JEVMByIBSYflm3qfq0gHfq7VAgg/gE5f0Pgnn343m9qlmFVjFPaphK5n7pidiCgUhIabt++zcHeHrdv3ODu3TtU5ZytyYSdYcbQGFrn+JVf/BcsZn+RZ597lo98+Fle/ta3ubN/l7ZzuOBWpmtIbFVkGQpFag2jPCeEICQNLy3pWhdsbYziGeYxmRCalOswGDJrGY+HqCCAvlaKJC8iuaK3eY/yZ2v60SZ2zq3rEPd/ei9mUH1Hr+ucAMQhUDcds3lJ3Yq2cFlWgGY6nVPFuFISCUOSyXtubEyYzecMsxQdHDevvMNgMOKRc2eF+FQ1ZFnG629f5O/8nf+E//Rv/+0IZotSqgvC4EbBP/sn/5RvfOUr7G5vk6Upg8lEvIWQDrvgA5h7iRxaa3Z3dzk6OlrGyv19C5CMaAF7j1aBIsvI0oyk0DR1RVZkMm4qkOc5vnPkSUIXAia1HB4f8yM/+dOcPv8g3nm+8dWv8M0//QppmhM6zzDN8dag0oxbN2/wyU8+xNZkzO7mhKODfW7fvM7xdMb2zgk+88M/xIkzZwltx7e/8XWuX36HJEmYHh9RzWfkozH1aIbvRJ/cqxDZiTGuWnuG67HP/bJeH5TYOaztrz5oXvn2t5jOjtm7cZPf/uVf5hM//hM89qEPg/IsFnMWRwe88EM/TIqR2HQ0ZL5/yI1rNzkqGz78oz/G1tYOzgX27+4zGo1Y1I6mbSJe0oDzZCYR/5VBRqoteZZi0wLvoZzN0NYwGEwYFGNh0pcL7l58nT+5cYXhyXP80E/9FfI8l/XTtiRaSIHSbYqoImlQKj47JecOMR8Cdc+a7AkLSimMFsjPpoZxIgz5tp1z4/ZNhnmOUQXpcIDNR7i2wlc1XVPR1JXI3zQNlZe81+hZLB4Z0NFDzFohIZgErAFWcmRi5ijPA3oTOolDlVJyY8GDc4Qo/+q7loBCJwi4GmIHeZQu476cAa3oQRptDV3VSZeP61BRHkcbi9MGm6Y0TU1TTrHW0gGmkC45pXpfmvi5lBINZptiswGu6XBNRVOV2CRHGyG3Ka1QxmJtisoKFq6lqxc08znpeEzb1Jig4udfFR1V/xAVpGmOz3LatsKHSFY0gsCJiaGMYSDEMQkSW0Ty2Lrw67/P9T1rDr8fs2cZ4AKYBKMVtQvkg9GyZRokeFuCMWuHS49+1+Uc19bcuX2T6dEBXdeglCwEpQQ4bV1DnuUYI0xRH9tnhYnmooSCsPecF2deYbvV8Ubkxt/4zksipaCFdSafRYwpRBtPGI/z2YzOB1ofYnVW9EMGeYZ3HeViFtnSiFZb8JAkNG1NVVYMRkOCNuIAbjV5keKiY2vQRhy/e43HePj0h2s/3H3FTpixnQj3d47EplhjI1tDqv1JnkpV2VisslKN6cbcLBd0nbTFdF1HXTfYyOBr6m4JfukopG+MWQZ6QSFV6zWgbVnVWFarZHIniWagUnZObFBHp2TnOgGFQiDPE46nols6KAYc3z2gnZeMBkOpWBc5HmE6GJsSIotCFBIVTdUQCEu9YWuMtElkqSzyVoyUulYMSZbgYDzstdYkxtIEt9QW1j2wFxdjF1ug6rqmbVqKYQ/G3csI/aAdlOtAqY+GN945rly+zOmTJ3n04YfAeYyHrqz45he/zHx/j9nRVPSyFUw2JuTDAZPJhKYu6XxLFxxBax556ml2Tp1Gp9Fds9dSWgIAqyShbWr2bt/GtY24mCNyH7PZjLIsMVpTFDnjyZimqUnTgiJq56aRIZwk0saVpCk2MUsdzR4cfi8Q6P3A2fVrnUl8D3CsNGlW0FR1BINF8qReLJbyJ/cn+/1aWr3Oynhy/f3C2hitB2Lr0jLyuyK9o5Y0bLVKXEKI/9RL9Mo5H4s3q/fqfy1WRUQ2wPUFGSmSdM5JMLAoqcuKum4oyzo6lTvqSqQltDYkaSogb9OgBgNhE3uPb1uarsMqg42MQR+gaTqck+Cg12RvmoYmspSNEX30ru1QxmDptb9ju3KUtOiNQ5VzaMREzRhJfCCCh71GlrqXGf5BWbsQ16+6dz6HANombGzvcri3z7e/+lXausJoSLOUwaBgdjyDIMzuzZ1t2sWC+aJhc3uH+eEemxubDEYjTrgxe2+/wfXXXicoxyjLyAuNsUNUkgjIaCwqzZjPZtA2dId3qfc72tahfRDtMgNp6NjdGJPmGbkNpPmIE2cfYP/2baZHx5hEUc7nJEkSk64+SIKujUZ3RpMkKSqyWdeLAaJfIvv09PiQyWQSgde1tb4sQcX/D/eP3bsByfsZqvc9gfuex31Lbu1318231t9rRf4QoFilQ2wyEJZEfEGlFEGtDv7+M7pOYpwsS9FpQdKDTiah1RaLwSZZDORLmnJO46UTCGUw0STSZBm+B4xNfKZKCfAQnDwL72nrSozqbIdqG5xN0dZikgzXdtgkBdeQZjll2yylv6wV2aa2aejaFpsYbJox3NgS8+EkQZtkyYzuR+T+wsC7xu6+v3+Qrj7pruuaJGr4wfvPt0Cgq+eMx5ukvf9BUJRHezIHNk8xHE24+NJLWGXwsb29Z32pKJ/TJ/rLAmA8F0Rii6hl6lDWkCqFtZq6jmsiBCbDAh9gUVaY0LHYu8Obd+/wxquv8szHPsaP/cW/xLkHLix1ER9/5lke+9CHmR4fcnD3NneuXWdvf59LFy+yv7/P1vYuNk2pyoqmqnn7jde4fv0aH3nuozz69FN84fNfYP/WTTIVSAY5aV7QVix19LXRSz3tXnbBe0/TSv6QJKnkht7H9bfyM3ES6pBlGYNBwXBQCEA+GHPy7Hle/cbXMcZQluWS1HC8f4BWgeyNN3n1Wy9y6oGznDj3ACfPPsBwY5PBcANjegd6hfeO/bt3ydKU0WiDb3/tT+majvl8IX4AweEx/Ohf+hm2TmwzPzxmsDHGRr+Dpmm4fukyt65e5c3XXuP47l3apmI0HDAejtBuQWZqrF/QVIa7B9e5+06CKUYUk122Tp+jGE3QSYqyCWcefpJTFx7h7q2bXHrnIjev32BxeATO4Y1GGZES8LqFgcbFc6JeBGESLyrSRNrgJZeCo0XND/2ln+HRp59eAsPee3zfIdjP+ZgnvTcI/MEBmGAtRoxnTvxi/91Y4IoSW67DEOi6ltwqdk7u8qdf/jKXL10E15HZhKGFNEtoFzMSldD6jqZpmBQ5n/v1X+Nrf/plfuKHf4yzZ88w2hjz5ltvMplMWESmWhKLJWmSMigKEmvp2galDUkiRcGui0y+rqWqK7I8w+gEpVKsMVit8V1LqsWjAx0wVpPG/akHgGF9371X53N93+r/7pwTTWxEPsOHQNN1dM5TNS0e0b9uW0fXBaqyYTYvSbMcmwS6rkInibBwE03TNmxsTLDWUtcVW5sbZElGWTXYNKXzh+A8vm24dukdjg/22TyxK9CwjnqgPvDO22/zra9/jZO7O1gk/09tQgiaxK5kE3tD1Wefe46XXnwRrTX7+/vL2L33CBE/Iyc5R/DkaUIxKKQbS2u6tiHL5CzUWuRFnHekMS7N0oQ2BJQy/Pqv/ArKZqRZwWd/5LNsndjl+PZdbCJSLQfzOZ/42Ascz+b88ef/gE/+wAt433Hr5k2Ojo/JiwHPfvQ80/mCbD5nZ2OTjzz/Ufbu3OL2nTskRgxEE2vxzlGXJUk+IERQbxklhT7HlWvpMfRdCu3fr5daW6MqeiUc7O9jtGbvrbf49euX+cRP/EU+/qnPkkZT0cY5Jqd2abqai995kRvX72JHI3YfPsXejev80v/wfyfzNVmiabuWwcYW55/+ECfPnacYjDnc3+Ptl7/Nwe0btHsHDBLDxniwjL3yIiM4KKczbJqQZTmD4Zi6rSmPj5hdfJNf/kf/D/7a3/9fsbmzw/F0Sr3fcObUaZQJERIUYzKHYC9xF44R770mxOvsfhkTlt/v97XJ1kmKYsStq5dp64rhcEhuC3TQqMyg0gKbN7imxLW1aIe3LU1dUdaNxK/OLc9aYyxZPkBnCTpLsCbDJuKH0ftS9AXyJdsw3leI+v2Su0r3mhRjpUvWK/k5zcrHDO7NrbUywoJOM2BGXZWkTY1JMwGylUYnKUEbQlAi61YtyIwltA1YUTwAvRyvHg/wIUFZUUXwTUmoK7q8wiQpxkinvTEWEsGtjM1xTUU7PyDf3ETbVHwaEFD4frKhRuTZbDEUMqyPHmxE7KlXKFB+KefhvXRU9bKR6xJH/XP+85AYv2fN4eVN3NeCfW8QH82QrDgxSuKxalPoHVvv+dAhUJclzXxBPZ9TTmd0TSdAQCfMQhX1aovBAB9UdNEOaCdgCYq19geivISI9vfv34ODAp5K4pmmQ2azGX1LkI/SB2VZkhcDrLHUVYN3nslwTAgdITiyImU7mVA3regrug4I1HVF17UkScpoNCBNEhJj8d6JllPwS3q+LJDVOPSfLUQTqj7x7BPktumWphAEsEmyBKRQiiS1PPj442R5wbW33oako/UdLGYUg4L5fE5d13FjMNS1mGh0nYeoo2ytMCO1VsIEMGL8Z4y4vi7TuiXQuAZoGZkDVgVGowGnTp8Q4Cnq0LgQqJsWpaCuGgxKgon+Z3xLUwcxtQpEMzxIjCUknrYWsKlvX9ea6JipaOuGuqxWlU+tpZIUq+Ihzo3+kLdK47XBa41aWi2L5m3XedG/jcC2j+Dyvw9N//+X1z0HuyK2/cv21HUt169cZTTK6XzF5Yuv8/gzz2JSw2Ay4uaVK7S+ZbK5STEZkuYZbdtw5co73Llxnd1zZ7jw+JOcOXsB33le+87LPP7kk2TDQt4rFoJEikQtW0KMUezfuYnyjqqusNqwf3SXuq5pmkqc0bMsMnj1cj+Rtk9FVmTY1KL7aqUSvaaYP65VvtfBhbVBiNd7gQ7rz7hfk/Ka4LoWpQLGptR1jUFkSP4ssGnJRsAQ/L3aQe+eT/fvq/f+3DJBWU7ZfqOIXwqIkWT/+6io97sK9kPfUOYje8BD6FgazznvaLuGtmtpqoZFuVi6ZguAWwmjxXnyYkBVi/GJQlE1NZkaSPDetbKHaDHkSBLRXk9T0WFTIcVYFTWmW1znWCwWwmiyFq+g6OeLFaG2pbkLUmwMXSP7hNGi+6wCQceCFgoV7reje79x//681hmF97dlHdy8wb/93c+hcVELWLQ0cQGvZMwCAdV16Cxne/ck/s4tEp3QzFJhavuOyWSCVscMC7BaTAWNMZg0xea5FN2cIxtvM9k+hWtbuqakq4+XnTzFcEM6ABRsdyLh1FRTyvKY25ffYGd3h+r4mHK6jwk1qU64cekyH/qEnCHHd27y6//8F+hmh9I2bTMwCfloRJIPeOq5j/Ho088gz9RRzo755ud/g63dXR55+iMUGzuoyLJYNjorhQug4xx8rzX6fvPg/nXX//zawrvnGfXBdg8M90W49QKTjhJFS8aAUkKLvycBe3fzHcDBwQFnzgg7XJsCXeTotEXlQ2w+J1Qz2ipBpyn1QknbW1MTnKeJgXOSFaTFAJMXUnSxyXJ/81EGwntPaGrqekaeJJiQ4esFWg8IJkVlOZoObVOSLMe1LVW5oK0rXF1BPOe1taSjMeloA5sNMCYFlaBM1o/a8p7f7zmsF+/ufw4fmGQ1FnUGg8G7wO71q/9Xu5hyvHcd52G4vcvmZJvZ4R4tgWyyw87pB7j48re5dflSBGbll/v4rE9mXB9HRsKBiVp9TdtFcoCw97yWwriSAwPwUtQNkBpDGTyN93TOo22KCZ6vfPlPePviO/yX/5v/LQ+cPx/PNrmH77z4bf71P/snhLrBKiVMllhEDVpTtyIz9PgzH+ITn/wUx9NjfvVf/rLopWtFmmeUiwbVeazRaJVgtBYDmJ45aXRf8yEEaFpHoBP5CRWZgISoLazRsZiTJtLFIgBPx3hjQjYY4Jx4ibRtCyha15EMCjkfUaimpT065DgEFnfu0PrAcOcUT3z4WQbjDZx33Lr6Dl/8vd/mEz/0o5w8c47t3dNM92+jcSzmHVUlJp1dU/PtL32Ji6+8ijKKLEuxSjPZPYF2nsXhHuNEkW2MWSy03Cti6rxYiIm1TQwm0Rjl8fUR81uHHN54i2KyzdapB9g8eQ473ECblBNnzrF14pQYYzlJvINzuNazmM04Pthjun+H/b272Nt3OWydaMI2DYtFR5ZlaKOpGsczn/gkn/rRvwBGYn7nOl755jeZz2e88OnPCBi3LKTftw7WCE0fkJW7ut4vRIsT0PsOowK4hur4kGp+zNHhId+5dImb16+hXQfeU85nZFlC1zZ0jSOx4DspwisCwzznzq2b/LN/+j+yu7nNY08+yXg4pK5KhkUhhBmlSRKDNUaMiaNhs3ShikTUeDwAPNNpwyBPMRomGyOaSJJSNiUvUjTiZZMWKSZqyydWurqA1XkVb/ferp3VXnY/29S5jrbzNK3kxlXdUlYVVVlL527bsigr9g+PaNqW2bzCaEuS5QyKXCQpvWM82SCEQFHkaGPZ2NxkMS+5uXdAHiDJM3SA555/jvnsmH/2C7/A3/q7f1d0f8fDSKAIvPbyd8iTBB0CRhsSawheOhFBuoMfffRRLr59kTzL+PpXvyreQnW9PB+7TvSPF4t5HJdAnmUk1oresNakiZEx1SaSXURaTSlIUgGLjRGpjERplIfN8Yi66Tjcv8OrL32bLE2oXEPVVpw7/yAns4Lf/Nzv8MnPfJqj4yOuX7+O61q0lYLw4dGUS1eu8tlHHiU4x61bN/mTP/ojpvt7jAYFRiWivZrlmCRhVpZs7Fq8NpHcsWIG3w8Erxe7P2jF2eW9RG+DfDBkVAxBlZL/tp4/+Te/xtHtO/zgT/40XmluX7nCm99+ies3rjIYT/iBv/xXUK7ja7/3OYo06tQ7x8aGdMPTzLj88jd57dvfZOPsg/zs3/w5Pv6jP0QzW/DVL36Jr3/hD7GVYxAqPA7fStE9Hwxpm5JGITFWmpIOB1TlAjs/4vf+1S9hi4LzDz/Kk88/z97dW1x95x22tjY5PNzjzVdf5od/6i9z4vQDKDxXLl6kGAzYPX2W+zerdazOxzj4HgBZGUwx4sKjT+G94+qlS3zjK99go8g4+8AZTj7wIIvjA3Q9xeCg87Rlicpb0qTAtyXd4QGubUWSpW7puiNUqUnzXAiiBDFswwpeE2MU09P6WXKZEHmojuB9jG8UKIsPBpPmS0xoRba4txCA0qA1Jk0x1tJUFeXsSMiJ2qLTDG0zsCkmTWhmlYDDxYDgW6zqzetXZMB+7idaE4wmZDmma+nqEt/UGFsTEwyJdYxF25Q0y6naElcfU82n5KNtulmLiQGJCpKnrpNavFKoNCfNBnTVXEgWykgc5RXedWATtDf4rokF6rXuYHVvbPnnzXO/Z+bwOivu/QAVRTQM8w7X1hF/UHStI08zebC9jpGK5ije0zUC7h3ePaCaVVHMXkmgKqIGWCPgUp5nBGBxXNM5MarzzkcjM0MIfln5WgdinPf4SMBum5oiy7FGGIhdZJmKpmKN1sJwIkQpCx/o8o4iTynLGW3TUBQD0ixBMaRpWgGAjYmVV5YyCIlNQAU8jqACruuTx2h61oNnrJJSOXBjlUWLULaYo0kBQYIzJ2BOmpApqdpUbcOzH/8406Mp88M9bGMYTYZ0TirUXQR1lHKUixKrFd4l5LnIbiSpxXq91JaTA02JQy6i+yrMlF4/uAcaIzsPBUaR5ZYNLEE6jfBHc7RNaJqj2OLYGzY4uqgVrLWi6xxWi0t6ktql+6SLP+e9l/ZXLy3FEtCvQPQQpE1KGWErOu9kAUXwvw9etVaYZeVU5o/SihALVweHBxwfHrF78sy7g8MP4NWv3d5YbcXWk8A1TVKaqub6latcePgJ0jzj7MOPMJxsktiEtm0op0cCvgapXj706KM8+8InSMcTFrMZr33jmzR1w43JkAcffRwV4PXXXufsubMMR6PlWlRA27Ty7CJo37VtrLRriqIgy7LYIWCixnBGmooOWs/AMkkishLxuQtbQN6hN5Bc7VPv3YYOKyCnB+D+LIbp0sUYxWAypprPliya+yvt9wJEqyP5vYKw/t/3AyLrjOd7N/oI9vrVn8v9eU0LDqTlU5gcfgkWOy/mnsF7gg+4zkf9t0aeR3Rgb+uGpu6oqpouyn/UtbCrQlzDaZbG4pBltLGFNolUaJXI9CitRMuuaUiThC7PGIxGtE2LKhdR811x9+5ddvSuHOp1vRywEJwwSZXsPwoxcWkbqWTHJyUmpb3breory/F778NO/CBeMi88t29cwzU1xbBguLEpRiJaRyBhjvVeFJfbCp1lYCwb2zvciprevWFONijIigHedSTaSDKR56RFsZy/RZLi61KKkFqLUVm6Sds0uK6JwZcA+Ekuz77LU4qmpm5KOleSWE1lU9xiRpJY7l6/TDU9oBiNefHffpGkOmZ3kosZm7HUnWPv6tt0ynDu/Hkxo9Wag9u3WBzeRVcldy++yfGNa0x2TjDaPs3Gzg7GJtRNw3A8jsVTzWC8fc82/n4B1CrGgXW21Grc371m19fae7Gr3pP9Gt5DgW35/dX7gcQAJ0+dXO5f8UUxVsw3XZLSJpZgE6jm8XesmAN3Aga6rqNpO+ruCLuYYZI0tvsRkz+/1AtNs5yqqjFpg05abDw/CQFjE5xLwYi+ms0KcqVxrsW1LWhDlqakxYAkL9BpgU1ylBFD4vtjx/cDhdfH/P4xWh/T7+crpkHvOe/exb5DQ/BUsyNUaLFKMbt7A31CMdo6QZpmMq/rkr27d7DjDVzZENoOo5Aie5C40fmA7zqcD9RtQ+sdRlu8zURiIcnIBpuEQUvVlKv4y2pUJoBTrQxt26DyEVsbE1yAx556ih/9yZ9msrkp+v6xQ2j1rODZjz4PoWP/zh1u37hJU9V0UYt4Y2uLwWjEhYce4tqVy/zR536LbjHnzIMPsX3hPNfeWCxzA2mnlPNcbi2syB2ECJr2/gmGpnHkWQ8c+1VxVEVZikhi0NFYx1gxK14s5pgswy0USZYBDcVgFDtcHSZIl05dd+hFSdJ1GGNZ3LnOWy85zj/2JFVVcXT3Nie2JFYqhmOe+MhH+fZXvywgTpRz6VzAdR2L2ZThMMdqAZB00Jw+d14KLYspg0GBRZh8wsaUPCEEqKtaCCdRJs1qMDpgfIebH3L37Sl7N69x8sIjbJw4Q5oNpU09zaVYEHOl4APFZML26dMoJZ+rns25c/smN65e59Krr/Pmm69zMJ8Diqc/9nH+8n/8N0lyKe447/j1X/4lvvn5P2K8NeG5j3+cLBssExgV7l2joUfzP6DB9D2fOkSSjFpj8tUlB3duceOdt7lx9TLVYkFTN2TWSmIfoGsdBwfHKG2oygYVxAemqmoa36GtJjGGdJDQNhXvvP0mDz90gevXrxICjIoRqU1wIYgBnUBOtE1DmiZoFMUgJ00MJ0+eZjAc8sZrr0inVzkjeEeaWllXVpHaVbEkS6Q7xEYGWn/1PgLrHTzrkhL3fz14J7Gmk3ytjl2ui0XFvCzpWo9rHYdHU+qmoWsdxiSkWU5e5Bjbs5lTTJKgtI2x9iaD8RZ3D+e89PqbPPDgBbIi5/EnHufw4JDgHbduXOMf/7/+n4w2Nvj5//TvMBwNCN7x5S/9CdsbG2Q6AeVlR1YCQnnnsGnK8XxGXuS0dbP0ARKPoVXht2m75TzI85zBYIDrWowWaaY+L7ZWchZU7MDVQoBQVtN5L8UqFJm1KO+wRkGeMt/f45M/+IP8tZ//j6mblt/+3O/w1lvvYNKcr3/jWzSt48XvfIfnPvIsn3r+eb7wpS9zOC+5fus23/rWiygCl95+m/nREbvb22hjRSc1G4gmapLS+UAXCSFaiySRYoXprD9f+GCcs+916UDUdBffpGQwwBpQhezDxoNx8PI3v8qHnn+ezZPnuH79JjunTvNXfuTHeOTpp7h26Qq//gv/iAsnd9k+dYK2qZnO56Q2JU8M8+NDZtMp7fGM+ZWL/PL/7R+ST8Y884lP80M/85d49ENP82u/8I8pp4ekWUOepORBzrThcEDVNDT1giTLIlkQQldz+aVvcOfoiDd3Nrn6zutcvnSVN1/6Ng9fuMCZB04TAqSJifu543D/DnU9Zvf0WQLS2d4bDt9fSA+h36L7blQ5YJU2GGV44PxD7J7Y5eqVd6i7jmS4yfZ4G9csqMs51eyIYrxFAWByZneukk8cnZexbpuarpzT1DWuFtLkIHhMWmBSMT+XuRblanrgemlYHn1rola5jd4x4k/W65/3eT5r9yVmdgrwSmPSgqwoaMpjurqkqStMmoG16CTBJjmtSdGJeKHV9YIsLfCdl467eN6ux6FWK7xXmOi7gWvpmhqTdkLAsUk0qI+ybybBZAN8NGVO8yE+dKgg+FpEYlZFtpifo1OSwSZaW7q2oiun0uVnrOhYBU9wMd8yTog0aDrnMQnvecR+r+v4ewaH1xPs9wvS/RpZumtrnA9Yk1Lk2So4WM5QBSHQVgvaesF8dkS5mIlou1JRXkGYtjqaYLjgqBZzcQHuuiUzQmvFYDAkBJEc6KUiBPDNaBoBR10rDOIkSWmdw8WfDSFEAEIt9YQ67xlPJtRVRd3UzKsF4EiSDEXAuY6AFharMjF4RYBg50iMCNB735GmGZ0TYXLw7xq/9QSzb11xbsW49EFE5HvRaR8DR+ecmL+lHp3C7OiI+WzOUx/5CC/+2z9hVDSE4Kmrhnm6YD5bUKmG0SjFBy8A8ThWR1t5rX7z6NnVSmm0jcCXEsZevM342ePn1xK0h6BRypNmlq2tDXxQpPmUWzdukVqLyjJwDmONGKx0DU2tpAqeZzSdwyiN9/IM68jM7qUilnMtVpFWjGsJVpz35Jm0wCpELB6E8i/AmZhsiOGPwhsVEXfIxhPKqmIzQFEMWRkyvHvFfVDYh3AfAAlL5k25WKAC5DbBII7UKiZVDz72OPZJG/WmAzeuXOTWtcso55iMhrhY2HnjO9/h4M5tTNUSuo6j/TvUZ89w+e1LfOOrX8N++pNcePQRnFO4psXoCBxGjW1hGnQiZdBFpnYMOmU9inSKTSwmEVdXm6ZLMKwPXuVG+3ZH4RB6H1iy1JDihcgIrev9SglP9YCiEmat7C2gMJhEAsauEUkJHDRR/oKwauZYZxr3476szsdPcf+eeX9L5v1fe+/nybKCuuzOCNJlEVygbpqlVISPur79HmOsxTkBh6XYIgaYvV6jUorWCbMsOE9VVZSluEgfH4nsR1+ckYKcpSgG5EVBWZYMJ2NhJSJuuAoxM1BKjDVH4zHee7JcAumyLKnrmq5r2btzF2sTBoUjSaTDQF5BknrvuuX4Oq/ovKJzkpAoqyUA6IsQH8y49rte/X3ZJGWyvcN4OCRJjBQ4gwT9k8kGi+mx6HIZ2b992ZImluFwyJ1bdyirkq2tES44huNRNP6EJE0xSRplWsS9WisxhpGxj1JIJiFJ5bmKpECI8jw+GhYmWCvzvqpKfNeSJwmNTXGm5ejoLr/2z3+BZ559jkvf+QanJgOSVNqik2LE2CQMJxsErVgcHrB/7R0O925z89LbVNMjUlp08NA45ndKZneucM15kS/B44PGmZzJqbN89NM/RpJk75J9uP/q10u/n3y3Pf67gZfr5/qf5/X61wo+xMBztdfJO2hUkqF9R6I0Ohug8yG2qWIrYIOqK6zv0NEM1ruoUOYcznscbXSm73WKM4aF6EE716J9uhJUUgqTFbRtg047ghf2ifaOrAjYtABjpNUuSTFJDsqiTbacT++6t/vued2c972+/4FhMUUG5apItbre9Zwjk2SwuU1dWqrZDNqatqlJsk4kSHBYrfnYpz7Dsy98gv3bt3nnjTe5de0K08Oj2CJZoaxCJSnWpkwmY7ZP7HL+oYc5/cA5huNRZORaQtA43y09HCBEgyUrWtZNI3INqcE50QC8dukaF19/nceeepKTZ89JZwKrM2s0HvOpH/kL0BdZY3eK956Du3d58at/yuc/95u0s2NSY0it4fa1qwxGE7zWBOeWgHB/lvbkg1U30CreU0ot/QHqpiFJCow2y2Kp0VrmdZRQ68c+S1Pq2Yzj/QOe+PCzfPkPf5dhlpJnCWXTMhgOqMsKYsdjU9fLfcFaS5qn+BB4+43X+fpXvsrm5iaf/uEfpoudTuPtLZ79gU/x7a/8W1QIZHlB6w3DwZDgOwbDAuU9aZ6hgmaytcXR3h2yLCGEhNB2ZHlOXVUEAl3X0bWaqmJpupvYVSemsRblRRdYN8fceesl7l5+i2y8ST4Y4zxM5yXlfMH+3bsMEmFQ9l0hNsmYnDhBkqY89cyHeP4TL9C6jqpqyHLRODZGc/Wti/zOb/0GP/7Tf5HTp09TVxVuvzd7Xp/O711EQ90rqfXBuCRYXu1FIeY+Ch0BqLt7t7l76zqzowNSrQlJglEqSp9ErwbnaZ2KAIaRuKvtQGmyNCVoSLTF1zWj4UAY6TeuS6ztJMfMU4tDo4yWtmtCJNW0WGNwQeQVr1y9xHg04sSJXfb39/BdwNqUzjlC782RiDxRlqZkqbCHTWJZtYdGQkWI0kNr5IV7C6CromZvpC6sU1kvdVMyL0va1qMxYvIOeBfoOscnP/UZLl26AgqsDUIMGQwphkOcgzTLeeSxx/gn//Sf8c2XvsPP/+2/zcc+8QKjyYimLvkf//E/5tlnnuHOzdsc7u9z7fp1fukXf5G/+/f+Mw739qnmc4Y2w3UtzrcUg4IkseLbkyY0bcPe4QGDGB9orcWHJXYTuD5OjpI1Nnb9PvHE41y59A5aIfIrNpHdUIlBe+dbjImkBmuxaYr3jsRqXNug8QyTBKccRTKiah1f/MPf5/f/+POMd7Z54MIjbM4WPP/Cp7Fa8z/83/975ouKznmefubDXHj0CY6Op5R1w2x6zG//+q9SLRYiQ6M1SZqhk4yTZ89x7qGHMFlGNhixqGoGwywS9EAFhe9lpe4rbMO9fhAflJxXqZ5JKaznU6dO88psSprnIuVjNdondMeHXHzrdf7G3//Pcd6RZTnOw9V33uI3//m/YHMwYOfULtPZMUEF8sySJRkqeIxNUMaSJgnFcEBiIcyP+erv/Ba3L10iG4x47uM/wJ27t+hUx/zogDu3brFVCOMzKwpa16A7LXKO2hC06EGfP3eG09ubhON9RqrjI898iOn0mCwxEtsfHjAcTsCmfOi5F4T040SG7/4cc/VXFZ/xEpPtv7rkHNg0YZhs8MTTz0inC4qgNEk+Ii3GDDd3WBwf0MwOMdYw3DpJHRxDayFIF0SbZpSLOdVijpvPUUGR5h1pGEBwaJMKLhhzd4n3PPiOthI2rkLwmFjHQSuFjybowJIwef+1JIoZyEdj2mpOVVYoO0VpTW4MKh+QDMayBl3DbD6jms5IsxHBZODNskitWO11PiAmdAGSNCPUOVW1QDcLVJJEqRuPNRnOgE4DgzSlLVOqrpPiPgrtnci6rMk9rq8rrQ0hURgzQbcZvi7p2hJXlYJTphk66h93NscGi7KKoOrYqXAvtPvniZW/Z0O693qT9cpaIFDNF2RWKn5BQZYKnRtAaRngflMiCAOsms+p53MW02OauhKGZz/BtRZZAAL4WA1aavMKLdVqQxor2m3brul0rjY6YyQQ6ltE5CHoZWC5Duj0m2GSJMym08gGtrRNR4UiGSXkmeiKWJ3Q4VjUpVQ8lcgUKK2wqQhxN3VN1TZ4r5Y0+N40JAQZl9VnEMaA9/ealKzGbJUsdpE1K9IPcnDpzvGVL3yJT//IjzLZ3uGwrbFNK0L5kXHZNA3z2YxikBO0XiUHCqqqkWeFItgggaiNAV2sjAbvl4tUG73sbEet9FlCILq1ak4kGySZpmsW2Aj4aN0HtnJT3ol27bSR1jlsQtM0y+C/7dol2LV6j5XWWT9+/fOuo7tsklp0YinynDTLmB9Po8HCWvJOiOxJx3gy5tzjj1EfHgAhuryrpRHJchflg1lVXQKKSAx46eJFmlJkHVzbUbmGo8N9Tg4y0sQsMfGgFLtnzlI3DbevXubWrRs41zKbHuMah1U6zoXAO6++wqsvv8KrL73MM089zd1rV9je2eRg/4DFwTHGGC48+rCwfIwR5r4WkLiu62XFvmcKLbWT4vPNipwkanL1KGnPTAmxYkpcV2FtXYf+/iOnq3+WSq2xe5cv2WvNyZ9d47CJjvUsj/E6BlZSrQz63Rrsam09yNyVT/Fe8+bPYgvf/zXZJ6Tly7UCjPaSD13b0VTCCEUJcNxL6yxfv2fYx9YdgjBEqqpa7o/OR+ZE1EPsOs9sOmexWFDX7VLjSCu92lfajslwSJJKcF8vpC2G4EUqxhiyLKNtWyZbmwQfxG25LJnPphwfH+OdZ348pSgKASWzjLp1oNqopymsJWNtNNQR4wetLcVownBjW4BL1NrzXAH0H7RreYbdU5xSBKU4efYBFndvU5Yz6nKBi8ab2iQYYxkMh7QB8tSIHrOC4Fo2N8Y89dTjKALWqmgO67CJtCBG2p0wdfsaro5KXz3xFY/2Wlq+s0KCKS/dF76Tgi5RCkpAGkMILcGJ2VHTtRSZpbp7g2/94W0mw0wKPonGmIBWYoiaTQZ472jme7zy5T9AeSleFSYQMPig8FpH1niH8grfOIKBzTMX2D73KGceegybpFJi0CZOin4v9O+qIqy7cr9XEfz92J/vBWS+H4OY5T4cwDla77FJNG8NHhPHLRBYzI65cvEtyrLkzLkLnDp7Ln4vAg3e840v/wk3L17k0z/5U2ydOCXAb1MSXENZLWibmlCX5LFAWh0fMZ1O2TlzVpgIQYqmaTFAGwGIiV1LQSlCUCv5HAz5YIxPM9pkRlvOCcGTWAPaEpTBJMJ0VUpcnJWyce/57tJMf9b+2P/9A3Hyhih5pt8fIF7u64iEkM0GqLQgH+5KcuYarrz2bb79jW/R2owf/cmfJstydJqyc/YBds6cB4Qh3jYtVSlgorh8y2FWLkrqquLw5m2uv3URkxgGgxFZXmBSK7GqtQQfuDObsnviBKONTYajIbdu3OA3//W/5PJbb0PX4dqaPM34+ulTvPBDP8ZjTz3N1s4Oi/mcuq7wIZAmCXVVUZUl3nXcvXOHt954gzuXLkPXoENHmtho1GwwzpOPNwhGc3DzBolNpQsIlqBwz8D2zoFXFMMhHZ5msZCfUwKQhZCjjcFEkkpAJI2sNdEguSPxcs+ptRzv73Hi7AN8+PkXeP3FbzJMU7zStErkNrq6oW3E3d3NZiitGQwGFHQorSi0olCB4zt3WdQd5y481POBGG1s8dFPfoY3XvoW04O77O7ucuOytK6rNEEh8kmuC0w2N5kd7mMTg261mOvqWFSNc6XtRNuxqkQablCkaG2W5BnJZ2LuogLaV/jD6xzeajk8mnLj5l1m0zlaKYbDAePRiMFwiEkMpfNMD66zeeYc+zdbpgeHLOYzyrolHYwZjsfcvnmTt77zMtPDfW5eucL/+r/+r0m3Nnno4QfJh9FMc21uy8RW9yIRwi75n2Gx/c94rd1Dvyf7yLwjSAy4tTXh0htiOKVsArXETOJb0uFaKdprpVjM50sdeYkPDXUr5mqJSfAWQlCMBgOKwUCkKLoGiEzUIFIW3jtGQ+mma5pa9Cl9R1AWoy111bKYLxjkGaRJlFsR0pMxFmsNxaAgTVIw0jFkjF3mk+sxU/SBkn8HYqHRrXIwL5rLrOWubduyWFTUVUNw4FpH5VqO5wuatotGzoEvfumPGY3GnDhxgqapmc/v4twtprMZddNQDEf81ud+k7sHh3zk+ef4u//g75EVBSF4fuPXfo08ybl+6RoWTaoth03D0x/6EBC4/PZFgvMko4REadpKYt2yqvF4qtmcPMvwraN2FWI0X2ETw3wxR8fcw3uPaxvSRCTR8izh9ddfo8gzkjwVHdIQsYhUjOg0Ct85rDEUSSrrw4pko4oxGk7icRUCw8SQOMO8bbn7zmWqg2M++ekfxHvF9HjK/+F//7/jX/5Pv8TFN9/i1//1rzGcbJAkli/+yZd57vnn+Jmf/VlUgD/54pco245Towkfe+HjnD53DqymDZ7UpvEs97gIdnkNuJUsVp9z9zKd1tp/Z9LK99Mla1Vy19PnHiAdjQhNgzaajVNnSZKU2asv8fp3vsMP/fRfIc2HBOe5cvEt/un/9b9nrDrOPPAoR3f3mM3mKKsZ2ITWLNDakKYJo+GA0WhImuegoJ4vsE3H9OpbzINgNHXbUinNcPckDz75DBdff516b58Tu9sUeYIOnjRN8aORGIHaBV3bieSEVmTbG0znFand5PLFy7zw8ed55Yt/yGtZytmHHsVjSUcTHnjkEbLBkHCfN1KfB622sfV8cn3A+nRfo1QKykPbRdhDSIpapww3T5AVA1rnGW+fZJpYQtegg8e2LWF2TG4SlNGU0yMW02O6usK3leRrWYGxGV3sWpA9xdG1Db4ucU0jLFqt0U4TfIcilRjJe5QSE9XegG4d51vm2x50kjGYbFM3tyhnx0swX2uDKYbYfISv5iR5RlvXtFWJzgp8sEu/rYgasBosAxqJkZOEUAZ828a9UH6273IKxtBWLVVViQ9HU4t5XbsgeEcw6p7C+j1zN5IyUVryOTcA19KUoqPs3ZQkm5EMt9EZaJWh7Ure697n/73nvX8uzeH1h/DuDxDI0gycB20k2WRN9Lz/W59gKk/blATnaOtaWHnBgxLmYvBrbdkIM65palwnpm/ZZEg7leDQRdbhsr0lbmp9y1zbrqp/PeDUgze9Dq9zjvm8b8sU/aw8OsH2jLq6akhsIu6kg5xF04C2TMtj1KJiYzggz1K88xwdzWk6T900DIoCGxmTaWaX4FUPXqzGdzmiq6RSq6i5HOUQIvOpqiqKoqAYDuRzuo7cDFBJwuuvvcqFhx9idrTPwAVc6yjyGVVZs1iUNG1L6hI6pajrVRKvlaJRIiPhs2gspuUz6F4uowfkZG3KM/JhCZBprXvzRQDy3LC5GTDqLHdu3+XwcCoC+Wsgf/+fUoqubYQB2WsvEyn3ilXl6D4wTdjg4sjbH2ZLlkeWYXoDsyyNVW0nrJZeokIpdKI5vHubLEuYjAuG47FU0uPO2t97P28+cAdlCISgRMpBeeq65M2XX2ZncxNlFIvFnOPZnJe/8VUO9h9ktLFJng3Y2tklaGHdzmYzsizj3LmzHB8cQt1ikTbmzkeZgtbRzks++8lPylqoK955+WWapmZ7c0ITAegkz6mbSiplSoBcjcx1HcQgo9cqD0FaQnsWo0KcOWVuRHO94LEqibIrstv05hH9RFJKoU1CkliUkfWkQg8GrUtRiOyL9y6uDdHjXe1HPoK+K5O5Ponrx1vFOeNdD8V/d4OldWbGewJTCDDcNR1N3bCYL2hqWdOz2TzK6yRLuRUxJnHRiCiuz9im2n+edTBsa2eHa1evEryncw7Xdczn8ygrIUxqYS5JwSUfCNvTZilpljCejMjyTJx2jRZjLKPBipatsx06eHzXYhMBjH1kqFhjqcsFi/mMW7eg6QJbJ3ZJUksTx34wHDEcFCJlQUAZQ5YOKIohKknBihSNxi4BhX68eY+/f79fq+LAuw/9dDDkYP82ynfYuE153xK0Au+g6VAmoWs6MaKxBq9EGiXPzHJtKaTo6tuGEJkzQasYDEb3bwfKrJko9mFI31YaGfo+uinTSWtpiFI+RoPTClTAB8e5Cw+SWMP0+BhrDXVVM5vP2dndQicSeCVpGtu7FWmMbIOX4mnXdQTXAbFwE+/r9u07eOcZbEwoTilKD0mey9gtpVeIQaZeHrjfLaB6LxD4fpD432WOrQq+AUXg2pV3+Nof/zHPvvAD7Jzc5faNmwzHY06dPU9AUx4f8Zu/+E+5e+Uipx98kJe/+S1+/u//F+IIrSB4z/Htm1x75TuUe7f541/7l/zwX/0bbJ86j8kGqOAwecXe3h3uHNzh8M5NHjh9gj/6zX/DcLzJjz/8pMT9gFdKQHQt7ajGptLWZzK0Ec3E/jkrnWBSi7EWYpFdCvkCMkgLoEabdLk/frdx/TPHa23sFSylfL6fr+UnD2FJCrh/HvVXf5bRpyVGijaLwzvM925x99o1Hnn+B/i//Df/Dcp7Tp0/z2NPPMmps2eF1RuTk8XxnKPDAw7395jeucPhwT7z+UKMXrwY+Ipuu6wh34khqbUWM8gZDAccHx+jlWJna5u7t25jtWiaG6XJN8bCqJsd88e/8av88ed+g8nmNvPDw2WMrI2JnQaGzrUig2AtuQWT5csYPEkSAI72DnjyoQt856tflfvvC/GBeNavgsmA5KyLsiQbDQQUXQLs0DQNWTYk0WoZU1orbD+UWp6F3geKvODOtavsnD7HqfMP0NYtV19/lTQxGJXirKHVlqBq6s4xW8wFJHLyPq7xTCYbPP+JT/L2229z/pGHsGkSiwESMw8nG3z4E5/myttvsnfjKuX0gEH0TQiA6zyDzQ2yfEAxHJIlGa2tcGlC27VUTQWs2PTi4QF13UTShGcwLLBIcd4aTcAvn4PCYIw4yWdJytHxNOpCOqqqJBDIciGOFFqx2LuDLQpOnNzBtWPu3rzNjauXuDad0TUtOR41KDjeu8Ph3gEvfOazfPYHf1Dyqfvm//p8X+17q4T4+/1aEQTC8pzoL68iEBDAKKiqBVU1x3eOpu3wgSj9oagq0a5ty5KmrumaBue7ZSxmrGVQFAQgS1NsllNkuRgwp730T4a1hul0SmoN1saY0zt868msxVhF04hutlIaaxIhIRGWZnMAqdbCZLWWNBOwUKlVUbSXCOxl3noyAl7a1fuChYKVHwuyVl0Eh5umoW2b5d979u21a9cJqEg46BiNBgwGA6y13Lhxjdlszu7uDnmW8sDZM2RFzqwsGQxHPPfxj/HYMx9erjG84kf/wl/gysXLzA8OCZ3sgT/0Iz/Ch575EC9+/Rv8xq/+GiZAcJ5FU5EYufeubfCRNNZ1jiwRLWgItG0jQK5WpGnKbDaTolJiAY/rWhoc+WSCTQxFUdB1jRgpJ0ksRAmBIkuElS0d0HHuBGFHK6VxkthjtXSOqEY+Q8hzyvmUd159ibKsuXb9Ot+yKaMs4cyJk7z+yis8+9xHScyQ5557jt/9vd/jiaee5Od+7uf4KydP8nu/87t8+KPPsXvmDC2SOwWn6LzoTBMBLIeDaBTWg8E9NmLtn9uW6vvm6ouuk90T/NBP/Qxf/f3fYzE7oguB3ZMnKa4MuX31KtOjQymqK9jY3uKv/sd/i7u3rnK0t0ddBcxGRl7k6HJGoiNA6aTbHCXdqIFAOijIhuJ/o5ScsUXbUpcVYXbI9Gif8SBlPp2yvw9nT5/CRC8WYbQnVG3gbn1E3XWMooTq2QvnOJ5XnH/scSYnNvE3LtHOb/P2V68zKxu6YoMzF/4+TVNjTYIxcrau8swehFyBnfeHXjGa7RNZUGIMvvxh5/Ex59LFmDz+0uTUA/iuo6kqqBaM0ox2kZGkkq83kZzQHom2eDEck6QZJLFQoqLxeueoF3Pp+DZKWLrWQNeiuxZjASX6usGFyJJGxr+/13V8xlh0PmA43mC6v0c1PZL1nqboNMcUI2w9J2lLmuaIcjEnHW/ifbcWw7IsPq8mVTSTix2qru1E2xo5c0OM7QkBrQLGKLqupJlPUTYXjJP4M2tnYY+d9eOtAazBaUXQCcpm5GlBOqwpj/eoF1O6IAai2mpw6RLLvh9f+F5z3u955b83ILwavF7LyhiLsr2D+PKXWU5QImPGB9qqwbmWqippGxHUN8ZEjdsIZknmQnAB76RFejiasHPqJDcWl+jqijYCw33yF4KKAVSfrbrIrLJLcysTA2U5yGJ7nVJoo0iMuLimaULrOppWwEmvFYtFifMd2lh8gBPnzvCpv/DjXL16hf0bN5nf3UMpqKuO6WwWnWwD49EQYuDmo1Haun7aCqiRxDWoCMJ6Aap0f2jHCl/TOsqqIlmU0sZtwCqYbCXMjo8YTzbYOX2W6e27LOYLNrbGInPROZquoaoqdJFjrJGF7V1kAUsQ3YOhIVa3jVHLTUcS9RUrc2mwF5+1UWYFxuEp8gyrRYtpNDpif/+QxbyKOsJShe9beHoWs+sCSZoyGA6j02gP1vUSHhIEaa0YjgZoY5hHc0FjDEliZRNCzAmVMRTDIW3TYJ1DK01Vt+A6gvYkuaIqS2b7d9mcXGA6m7IT3NLc6v6F/EEBme75rCHEAoxndnyECYGdnW3m5TG379xBm4SbV68A0Ll3CAGee+ETJFnO1/70T8kNpAYUXWT+xARAq1iVlpaqNEk5OjwkTMZM0gk4R6Ytru1Is4zp8bHIihipwBpryXLRGHaRWee8X8oR9EUUAXsDbdNCmqAic8E5hw+eNvSgpiQ/Xdfh2i4yd8VZ21pLkiYMxwMGwwFJ1DJmLRnoATlZj327il+fAhEkZnme9l+7FwSIWofvYUK3fhiEICZOIQJ28O7kqi9StU3LYrYQJu98ThtZY4tFtapeBpG90Vr20gBROzHKTfhYre7/DNL+v7e3vyyyyb7YRqkP6RLIUwlgEmMYDQekeUYxHlEMh2ydOEE2HIDWIvVQV5gI+tdlJbIVjQTlfeLU+Y68KLDG0mUN7TBnMS8JQTE9OuZgbx8UlFWFNYbBYECWJGLuGcFtp6K7rLU88MgjPPPRj5JmQ8IStJfm5w/itW5ixj2HPSRZTj4Y4qoFJolgr1ZLiaPgHZnqQMuenSQJ3mhcyxLIubc4EPChjcUVeR3v9PL7Ouh7inMC1IRYIGStmCfndIjzrGdvKC1trEWRE3xH1zkGowFGG4ajUayWxyJQkixBDilCSneJ7+WivOiteS2tsIe3b3HpzYssqhqTpNRXb/LG9QN+/h98GN913Lp2hatvvsXJs+e58MQTKC2yTNqmUsAO7x3f/H+zAPguoDPA3WuXufbKi5wc51z8xpyLr7/G5PR5fubn/hbFaMzF117mysvf5LmPPsf5jzzPnaMq7uGy9+zdvsoXf+1XcIsZp8+f43B/nz/8V7/ID/8Hf53dcxdYTKd84wt/yOc/9xs89cjD1FXF53/1bR5+/FE2z5zGERhvnkCFvqtJWpY9HpsW2KRYrp31Pa1tKnwncygtJmIaHAFB7x3OdxirlwwMpVRkpnz3M/O9imIfyKsfr7WC3/v/6Op7HhFA8m3F0e1rzKdHVC7g2pb26ACr4eYbJW+99BL7B4fsTkZCovFiRJlYQ55m5EmKb1oS50m0RieiFW60EjDZGjonjPWubWnrksViRm4tWE15uMfQKkyak8QzIk1TKbJbSxaEGd0d7TNILV1MjKyRJMlYiwkJxsaCwZo+aR97l2VJtSi59vablEcHWJPgvUgcubaVwmLcawS8kE4di6GdTZfdRSCdahJ/GKRQ5cXDwlpsYsVXoW2X8mlN4jAE3nrp2+yc3OHCE4/x+qsvo8uOoshBGYwO6ACFMbg0XzIJ27blcF4zre6yc+oET37oae5ceYed3R22T51Bq1hMIWBtwsNPPMWp06e5deVtMRPE4EPAoTl79izKGAbjMWmekXUp3gv5wxizNFOW4kzUBreato3mzM5Fn4YcE8Gvpb9DBPvSPGPLJuR5znxRUpYL5vM5s+kRZZmQphlFUZBkCSHmYyrNOfvAA2xubrF35y7ToyPKxYKqbnj41Gl2T+7yEz/106Rpigqa9zti30XkMN//hZ0/87qfnhXg8OCApq5RXSA4j1aKNnZdeb+S5vJe2MTimyTscFQgSy02SbDGMiwGDPIcH5xIsBnxedBaMRqNqBZzijxf+rFopaKrvbDhiUaMSexc1RqM0WRJIl252pDHWNsYG4GQe81U7+94WcapvcTAcmuLwE70pNHa0DZtzCFlnWgl8i5aa174xCep65qyLFHAG2+8zt7eHsYYNjc3efLJ85w8uSsAbNOQ5hlpMWB7x9IpxUMPP7wiJ+EZTsb89Z//m/zBb/8OeZrx7Ze+zac++2mquuZf/PN/TphXbAxH4MFqLbFy9KWYzWZorSnynLaqyRKRz+k7F0MIVKWwRGU5hSU5ZTgcic6z1sxnUwGG04GYaUWA3BgtchNG41wghBXRhSDmYGmW9LyVZZEuhMBwADkp5fQQApw/tctiUZFlOco7mrqiLBd87JOf5Gvf+Drnzp3j2tVr/Otf/tf87H/0H/HX/vrfYGtnh8Z1OO9JvMLYDCUYn4Bopi/0RoPc+N5d190j/fJBZA2vxyoKkQHYPX2GJz72HC9+9RtcefNNCLCxtc2dm3d59dvf5tM/ehKtNDs7u2xvb+G7j+NbR1OLSfbe7Tv8j//wv2NoYDDIGY4GDIpCzgqks8O3MTc2FoPIz9gkxyS5GJp5h7IGf+qk4EJaCuzeO1wIotHd1uzv77M9GTIohJUenGMxn1FYw60rU6xr8ColKQZsbw549PmPceOdtzk4nPLsJz6F0Za+9+bea/Xvdz3OtXj3PUFRLftMUKyYtQqUzjBpRp4MyMcbVMd7KG1F2iobUk6PGdBRz44IrqNazCnLkp6cZIyQw1QQrwTfCZEJo6VA48Gg8IkT4gigtJi0Cb9D40PM83pwWIsUoUkyivEmoXXU5Zx6MSMbDGXfLEZilpwWJGkl52zbgE1xLqATA1FuBfqcJyyL1QHJVYwxsbgv2s3ed0tgGbXiIIskYoUxYfVk1HqYeG9+1xIwiH5xooCgCUFwtnRjh3RjW3zdXCtMZO/f87X+PNf3DA7/We2UhHgoaotJkujCx2oE5Cdj5UIeZNvUMlnKkrppl9Xx3hyuN4dSQaa56QNOF5geHnF8fESCaMz2v9u24iraa3FJ5VLapXsR+d6FVEzQhA3bNrKgJ5Mxx0cHZIMUow1VU+Nch7GGJJGDT/oxPFW1IB8UXLn4FsEaPvrCx/nKwT6N78gTS5YnJKm0fmhtxflXC9PR+TYyl0ysOixHqP/LMgFffkmr2JbpsYldtpETAjZNqKsFdVPTdg1oCdQffvxxXpnN2dzdjUztFu9g//AuTVNL1UErocCXrYDzbRs/s4lAbROfv2graW3kOb4HIyggAYSJxh89WGVjJaY3GCuKgqOjqbAdfYiVbsPx8bEAW76j64SZWZcl49Fo2YZFrGj3gLSwRyTxyPIc5zzZUuQ9fl/LhByNRjRVtTwEldHUlXzutmtlLI3hxMmTbG5uRn0pAZ+WZY0PcPKqFFFWoOP29euMigytA0lqeeyxx+hcILUW14mJjQMO7t7h9Jlz3L1ylc1RwXhSRCNGFU0SA3jPcDRiNp+zKBdUZUs+KIAeBDWkVlqau9YBhsFwwLzrYkDk0UbkYWxicTEZMmYFzsozt6JVpjwhtKDFGK1rHW3XUVcirxCAqqzo2hYXwdOubXFtF4OyjNF4zHA8Yrw5YTKZkOVJTKrkv3vafuO8894vQck+aF4H7t49J2IXxH17Zx9ULzUVlWiAKq3FUPG+ql8IgbqupT14/5Djw2PmswWLxYKqrqWw64LsByjpsHDrGqUBFyRZUUExnmxwdHQ3VoZV1P/WS7AYLdIF2lpSs0rsi8GAPMuwRi1laQbjMZu7u2zsnmBjY8Ls+IhqMScBmkbaaqqqijrxKy11uW8TgfEEg6IODpNl4AJN1RCcaFAnSov+8XyBHQ8BTV1XsncFRZamJCrl8MYVbmxtcuHRJ8EK+0UO8+/ezv79eskZsJZgE0E8aykmE8quE/MWI+Pa1QKup0VB5zuSvuiBMC5D7KhY13btHakN68ULVmewEla9Viu5F/mZyGhzcV+OICAKHP3c1oAhWIsVEW96Zj8q4GLAqVSIjNCwZL4LDio6uQSP6iUQvEeZhOHmDloprl2+zIkHLlCphMee/RiPPfMsXVtzeP0K1155kfn0gObokFe//if8xb/1n3F8dMiffv53eea557nwxIfZ2NqRNs943c/gXy/ivBdjeB0AWX+N9/u3lIUNg2JEqgKHty6T5gWnTm3z5Mc/xvx4TlGMmOxsYVMgMeyef5jHP3omjhvgA6/+6Z8y27vBqTOnOP/4E+wc7/P2d77DF3/zV/hLf+vvEVzHO6+/jG5nzBdTrt26w84DD/Gjf+U/5PWXv8Uf/ptf5YnnXuDxj3ycYjhCKWnI915MXYWFfq9MjjC3W0JbkyYZvvVLw8i2q5D9JBNTjgi89xP530VW4v7rfqBilb78/8d1L7uyL+45pod3mB7c4fjgkDPnL3DtzdfZKHKU0Tiga2pObozY2d6EWDgNBBJr414ukrmpTZYJjdJKNPuNPJdU9+3EiqSLUmdSliFNElQQ8yulNXbNAFaKT2Bs1P4LAZNYtNLoAGiFSaR13XnRg09MEsFjiam6znF8PGU4KCgP95kMh6AknneuZ+rJ1bpAUhRU8zlaRf8TJJYRhpsUvfvz2RqNd1FjO76nTRPqpqNpOrJMiBVWW+b7e9y6cpVzTzzJxz77Wb7+xS/y5PM/wI1r17l55R1a17GYzznYO2Rv/4AQwCSiO5ylKXVVcvrENinw6le/yoc/81nG2ydEGoZe8koxmGzwwGNPkw23qBYLRpMJw8mEpMjwPpANhti8oAgNbePI0pSmrmmdjG/XSRdO5xy608ukdbEoKcuayWRMnudkUWZpWexWSKJsLDZJyYqC6dTGfbWjrvsYSVqu0yQlyTKyohbt48GIR59+gqZtOTo6oqpqnvjYD5DkGVZb+gRFpvG9BbUPYox8/7Xcafp9/n7GnXMcHR5iTULX1EtDtvl8vpRJ64uxImmolnJcEtsq0dlNM7RRZIl4sYRWJFQ656LHixgHFnmULVAKk6aSnxq9av9X0fAo9CbiKUliUDEfWmpWp+lSykjJB5H7iXFBUGqpc997a9yDNUVAuidgQDQfj4WNrnM0TcNsPsfalKOjIy5euiKSEjHGHY0GnDp1askezrKMsqwiKCOG49ZanFecPHGSS29f5PGnnpb31xoXAtsnd3nhM5/i6uUrPP6hpzmaTfHHR1SLkq2sILQOrYTc4IIXfVdjyfNcbkMpmraVPUMqpKRJwmKxiJJpQnxL4/jleYYxYpwXvAMkr3Re1myfm9pYpHFRR70/Izvn0DaJz0akFTsnZ2r/OwRhp/pYDFuUCwGIuprtyQjXOR46/wBvvfE6w8GQT33yU3zj619nf28PoxTjyRgfgmhMK2hbh/GGxFoCLkpFhbXnvZLWXBbb1op5H/h1HMQj5rUXv8m5Rx9ncPc2V995napcQNfyJ3/we7zw2R9a+k4pZdGpJaSQDIcEAvlkk7/2X/wvaeuSK6+/zuVXXmF2eJdxnpHlCekox5iU4FpwDai4JrUR4K5r0VahLSQ6jblLoGlaQvAR31JMxkNGRUZbt1R1Q47HHe1RKE1bztBKzMXTLGdQ5My959Wvf5nqzm3u7s85e/485y48KuTCJci/vmm9/7N897Ne4Tr9r+mw+vc98F4s2+bjHRqTEo4TTD4hGW7i6wXZYEJbLSR+bBuaxTz6SIkZrkckGkInxD3lNY1b0M1LXFFiigKbFWT5EJUkBOPRaDRBzrtIZlz5TyUil5MF0tGIqqmoqpJ0McfkQ0xekBQj6nKGsXPqxZRqdswoLQjGEfD3dagpIMqZIrgZWuGUUB5c1BW+b0DRAdpgKAy05YxiNIpj2gvDvUcOoVQ0dFfL/aC/NIpEp8ymR3TTOxRbp1DarLo43+NZfq/r99+LObyqMAjD18dN0thUNp7lza9+XhKpmOeGQNdU+LalXpRUi8U9shBwrzGJicwIhRGTm8icIeocGiPMqbYVtrC1dik10b/GYDCgXJR0zpHYBNc5vAq4qMlpjKEqRau2KksBdZQ4kyqt8F600vIkWeogO9+RG821V17l0ksvkaUJRZoxGKza57wX1nJVzQGNTTTaCDXdqntF/lfVFIvz/WeXYNwaK0FANB8KSEJQNw1HB4cMBtlSWiG3EqgnecaFJ57k9ZdfoqhGLKZzhuMBdTtkNpsJUK4UPupNzRYLrJFD2tpoSKcVoWwQDFDY1EkEk/p54NYYj+uXjnIE/X1ZK+ZieZ4zGA04OjpmsajoorbNxuZ4KQUigJePrT8d3kctUUTGQFjeRty6IzMlTS0hSAKrtSZNs/jZnCT/3nPi5EmOj4/FCK2RA7muK6q6iveXMRwM2dzYIs3yJfC8ntMuW84+INdqoxBXz+AcR3v7zGdTQmjY3t2mrrsI5AQSIxqjjsCVa5e5dvkybTnHpxrXWnycG72b8aAomM9mYlDiHHXdoIxmPp8LG6YY4pVmvDFhuijpXMc4tnRZrUgSMcQQN3GDjwBIr8MNUvjpjdW6rt9THF0XaJqOrnVLILLrosld2zKfzkSLvDdw9I7xeMLt/Snb29tsli111XHq1C4qs8tD4d51CdBXJFeb+Hu1Pd/7tfcy8Hh/VqJ0E7z72fnIQjnYO+Rw/4Dj4ymz4xllVVHVDa5b1ylftQNKW+1K890Y0Tqsq5okSZfusWmSLmV4iJI+RTFYBrTais5TkiQURYE2MBwNyUZjhpNNzj30EKPRmCvvXGR+dIhvGzqtOdjbXyZFK4kQMStZ/7e1ljZqEoSgqJsa593yuam41qu6pnIdo9FweV6kSUphLVmesTEZMTvcp1zMyMabK6d33vv8+iBcPWtsPQgziKTP6Uce5WpdEVxHYjSL2VR0B70VTVin6dpGEkolzJ5OdaR5gY2mrDqCwwTxAHAunjusqto9k14YQgoiS2/9swnLX8dkw6O0tKwLK1e0s9CSqDkfK/JhdTZopSMLSi+Lt9DvAbIf9EVnpTUOy/TwiKZcMNrYZnzmYR587AnqeCZ+4bd+la1Ms3nyDJsnTuEHBdP6EnmS8fWvfY1RveCNf/t5vvOlP+TMY8/yiR/7KQaTMToWLN71DO7bD9Z/5r0K5/d/zXsf66kB7zXKezZPnWTr1GnKxYLBaILRii/+zq+wefI8jzz5DMfH+5w7f4GNrS3Gg0GMn4SnsJgdcPPt1zHWcvrceXznKIYjzj30MBcvvsPXvvD70NQ896En+PgPfJRqPufDyvDkp3+cyy9/i8Pr1zmxtcGlF7/GWy9+iyc/+jwPPvMc2WSbxOZSGPD9iQshqCXAW+QFZSeMBY3CNS4Wf9OoUyxgggsNWq9JvHjZ46QjiXeN33uN+f3jHGAt6fn+vQSokTG7nzH9ZybcoWN+uMfhzauU5YIWxYnTJ7n+5mvkRSpxWIA2sWyd3F3GvqIhz7Lw2LSdsI6CFCjXY5b19xagVYmMSwSZifuCjnI0fafdqtNAo21fcFKRwaOW8gISowkInKa9zJdaJt9d2zGbzXAuYLXBIi1JLr5v/8yXMk7BU7eNEBMIwhRSooPdj6WxAtZ477GZRWElDtFS2k/znLJ2NG1N13aYJMUnlqAV1y9fYvvcOZq64e6NmzQ+MBxv4LwjTSxdYkkSRZ5aui7gm475fEGbJljfYoyicZ6JV3zrT7/CRz/zGTY2tmWsl3u3Ic0HnHvwEbqupWlaiuFgOR+C90x2T3F0x5Hl0u3UtS3BCWGm6zxKi/Z+aBBpgUikMcYwny+o64ZBlzMcDLCJJQiJellYBykOKDUBxGy0qdtl52S5KGlMgy5L0kVCPqgYth2ubSkmYy488ijZaMJo64QYCvWLWMH9wPCfuS4+aNf77U9A23Uc7B+QpSmurLHGsKjLZVxzdHR8T/xjYmFWnpuQYjQBrSBPU7QKlIsZw+GQ2XwqnVqRrQ+BrmvQWgBMbTRpKizgpqmWxRvvHTaV7qwsT5dSEEmaYrQmid8T83ez9AzQsbsHViQfYAm4OO/iGoyGclEDXHKuQNs4yrKKEmTS+VvkhciZtPXSl8d7L11g2Sru7HPXEMySDFY3Da7raDoYe8enP/MZsjxbnh1RsIcTp09x/fp1XviBH2BWzvmjP/ojjFJ0bYsKirptSQc586okzzLaplwyZFviOmhbmrrCWiFouLaV/UUJqa3tPMPBkDzP0VqefV4Uou/ftihr7pE17FnASinJmRMl2AQsJbr6HEr2RumasMYQEvGJcFHqgq6hax1GJ3S0nD11glnsKDlx6jR7Bwf8xI/9GI4QCTWK2zdvkBc5xWhEEosFOojsnItFQAXLrqH1c7YHhrtI3ll29H4Qr0hSzPKCelZy+/KbnHv4CX7wp36GTsHtq9cp2/beHKE3KY+/r5RCWcOHPvIcIWie+/inmR/PeOnrX+FPf/dzDGcLsq6iKMbkRYEPii44QuuluK+gcw1JUITQ4ZVdFWq0pu2E9DAYFijg9Iltbt/aI8tTAfSDJ2iDNgqrNHgjBmf1nIAlzya8fWePedUyO5wy3ThkMB7HmD/6QtFzTNZxOO7BiuXbYXmGC9lPYm/nJNbrc4V1IuM92IjWeGWoW89oPCHkI7yrSdqatJbCT1POyUf1srNCa2ENd01DvSghSEd5XdVoHHVVoo+tFC0HIwaTCclgQAgpwSqI1ufLLket8UEKxShIBwPyesjh3h3qck7WVJi2IcmH6HSATVNcpagXcwaTFpNm0nkbNYrjsCz/A0TCMREAOiik+7VtMT2PUEYarxUkGdVsStJ7KShh0Kh70fXVGgywZB2vB8pA0IbQ1ZjmmKARQFoblJiDrT2H6NXw5yBF/Xsxh9cv56Xdy1obk4L+fu41hVtKRCAou3ctVTmnnM9pm1Z00frqv1+BQ9J6A4RV64sOUdNQi/CzipUvs9QWE8H+fvL1bcxZlqPbDh88TdO3ZYmMQ9M0DAYDlJKqYNu2oATgUlpjlMYHR1NWa+L+jtwmDPIMRYpJxcAMJW0jWkNeDAheKvTzeUvXQaoN2qSRMbUOEMs9+ABpmghbK4LfSZpEWQyD0nJ4tq203wxHQ2yyquK3dc2lt97i/OOPsbG7y4ee+yjvfOcllHPs7x8K4IISp8a6wfkQ3Y8tikBZlrGyBSFkJKlMF+8c3jt0UURwWJ5nH8SvVz96xpXkSPKn9wGMiu6tlmKQUy5qykUpjvYui3pUDlixu1EK18kB1cWDqj+Ie/dYiABFNE4wRqpJbRNwcRx956iris3tLQnYmiYmKR1WaxoFXdcuGZljY+kNrvrr3aDh9//VHwrE53J49y43rl5BGU0xmtC0LmrUWdLcElpP2zqy4YhnP/Jhbly5yusvvcyoKBgE0ZP0vmdyKRaLxRqzG7RRVFVJlqWU8wXFYIAxiqA05x58iLKpoRNGulYiLaHXWA0iExFQaKazGVorCq2pynqp1a3igdW2jroSHb35XIDgnrUhFdaMLM/J01TWjFKMxhu8+dZFjubXOdNGNlGesbO9sdJzW+5b6xU4ybb6Qs797VerPbKXNHg3WLTOFr6fIdyPYc/g6iuGVVmxd3uPg70DDg4OOTw4Yjad0TnRAUYprLHxGSrariNJLVYpinzAeDJhsVhIS2c84QQMgMFwQPBOghDJuiPLSFqekiRBRPalk2I0HpMNc0abG5w+d57RxhaEwDuvv8bs8IiuqWibmnK+wHXdsqIbgKBEcsAYA7H1jgBd3SxlhrzzpGnGcXVM69xSR6qpa+lmcIFqXkYjnpgc2YS8GGBtggqe2fEhxWRDQLn3YD98kNZuD8z2hQaIQZtSbG7vcskFyukxhhBNQE1k/Thu37qNDh0nd3cZj8f0vFVh5CTLpEESXflukojOmBRW1wDOaLTas6dEf5bl1tgXn4RZ339N9vzg+4o+0RB0BXISiKDwKrjrW7fXE6yeLe2dMCeSPGd6d49Lb7wh+9ii4eWvfZkMmNctCs/Gww8xHG2wqBq6qiYEz/z4gOODO5ze3kVlKfOjPW6//k3+uJzxk3/j74ipUBzvf9d5c/9esf5zPuobK1ZAYVAO8BzcusX06Jid7SFJmjLa2KJZTAnHN7n49QM2Nje48OB5RlubzOYzxsWG7H3A7OiIqqnY3NokLwYcHR7iXctwNGZrc5OjqxcZTwaQjXDzOTcuX8JunOaxpubtF79FkSQ8+PgTYBIO7tzh7e+8yJuvvsoP/sTPsHP+4eWJF/ogtk8wfGQ5JSk2SVl2ECkBkFeltPisgwgl9FSTnp0F947lewHB6/HEBw1U6vOu95ox9xeqluz84KlmBxzduszx3dvs3dnnzCNPc/niRUbDglJJvIoySyDIrhm7JFavkSJUZLglOOfXzqbVmPYEjPWzp09ae11gY/Sys0CrNYYiKwMjKXj4pVyEWtsAkiRZAmXGGLq2YzoVNmHbdiR5tgYC3wtQ9F/PEpGWCQbaLiw7XNbvXQE2AixaafGO0YYQHMYmtFXNeHODO7duUFYV3hjoAlmasH/3LrcuXWE6m3HhsUc5/9BDpGlO05ZcfuUV0jRlOBxSLmqaZs6iqWg7x+apU3zsRz6LNprt7R12dndBG5Gluy/xjgMCSqQmulZylP7MTrMBO2cfoKlrQtfRtg1plhG8oixL2q4VgFhJbiDSP/IGAh73QE4L3lMMBtio+yjPOtAb16VFzpYx5FlGWS6oypqylI7K+XxOWy6YA+Z4xnhSs7G5uVqDNmOs7o17vtvavL+D4oN6rYoWot9qlKauKpGUwNM1Dd6t4kKZi2qZr3RdR+ccJrGieQukSUJR5GRpQp4J+9hYhfMNg0EeTdY7wAgArcF1DVpBojVd15FaQ5YkECTvTJJkyRTuDZK0FbM5jQTPSveeAvp9n8mK4LQiavnQx3QsASKFjgSGDufkzG+bNkoFykLwUWJKwNK0H1F6YtbOzg5HR1MB0YPIb6AVDkVVtdy5fZvBeEREV1a/qzVFUfCZz35WDJm7hotvvcXtK1e58tqbJFpy8vObF9DGcHR0JPKXsVvVWkPVtkvpi/VOIaOlrGliN0aSiMRElma4riUdDbC5FNWU7ffimJv4TuLvYkDT1MtnoVTsDtQqMq1DxBfkefRG7AqN60QKM8tSlHLMZ4tlx8W58w9y7tQp5tWMuzevcfv6NY6mxwTvODqe8srLL/PE40/w4IMPkg+GnH/wQbRKccFJyz7SEdsT+fq5vS4vsv7sP7iXmAPe3d9nvpiT1Qu+ff0LvPLa2zzy5OMsZlM+9qlPS9t/iLIFa1hVUDHX8wqCwWshSAwnYz7+Iz/GQ088yW/+83/MYv8mKiyEWBSlIgLQtOIDokMA35EkKdp3UfNaYdMUbRLaztG0njQrGI0nHBwdc/PWTbQ+Q5JlFIV0VyqUkBqDo2lbbu8dkI7BpAWDtuEP/qdfwCvDztnzfOQzP8gTH3kOpW0kVwQIfRecjI38r1/H/YjFvS4I0StNMpE11brnc0TWvBZ94HipONpd5/mNf/VLnDq5y2NPfxiVZpw5d5Zk4AhdTToY4duarmlxrkUFh+9auqYmzXJa19A1LTbLCW1DU9cAESeqKKs5k+0dsmJIkg1QNpGilugfEpRGqYBB4dAEZciGY9LZlHI+oxiVJEVDKEakw02o5oS2pqpa2rpG5wM0jhDknJXL9yMjklVNTVVX5MOhyGiYRLxRvIszTkg8JZbRRk4zPSIbjITlTB+DvU9OoXrMJu4ZPVKPQimPDx0uKMiGmDQTvw+bsOIir/bmP8/1PYHD7wWIKSU6IZ13opfZBwwys4i7eH9XkUShBACuW7qyZn9vj+n0mLZpJDh0XrRHnLDCpBImTMIlwykCFb37cB+M9i0gTdPQeUeWWbxPl7pjzjmc99jUEILGNoZy0fQfWKrATYONNG5jpPqwMRowXyzAO2yUoXCxPTaxljTPyeIB0XWN6Ik5HwMxIzoqUftYGwjB0zSOvLAEuiWrYh1MDUGqsi70uroiJG8Tu/wzSWThLqqKR0+eQEU9KWsSssRw8+o73L17m/MPP8qZc+fYOnla2tRaR2jFZCgEMRmryoZatSRJQp5mpImNgF+Lc0OGw4LeTMK5GoUcomluV4YgSgLf/vIhVpp6JX4kqFLx3yq2IosO8UAkAeqWum6WB2Qf9AJL+QkXDyvnnQRBRBAO0TLtE4Q+4THGyCbUCetCqu8tJ06f5ujwkDZ42rrBpQWucezsnGBja5tiJOZ+ASlGrBd57qkyfp9fK9CCGJwEDm7fpqsriiyjqRqsFfF5ZUAbYdMkmeaJj3yEzd1dhpMN3rn4Dns3b2IXFSauNb1W3OiDiKIoODw6RistlXulCG2Lt5aj/QOOj2ds7GwzHg/E2deJcL/VJmpFJzRNw/F0yuamAHxVXYMywtrxDmN1ZJV6qqqmaYRtXtcVBwcHNE3DZDJhPBoz2dwgSxJhKSQJwVicCzz86CO8/dbblFXD4dExk8MB41GOTQb3FWzWNZvXK7D3tlvfMx9iMayXoFgHjdI8p6mqe5Po93heErA5utZxfHjM0cExR0dT9vb2mR7P0NqQZSLdIdVcSKIrdVlXGGvI8hytpYXOGiPMFKMEpA2ixZUXhaxz78VsU2sBWaMJZZKkUqgCkkTMqs5euIAyhunREbdv3KBrW3xTUU6nzGdzKb6V9XJf79t7ezd7HZkqPWDQVDU9e8o7KeoJsBxBZe+Xe2PXtSglBg5pmjKejBmNx+R5SpJkwqzyHaJKFx8aH1CAKYS4v97/uWVcbJrjULRtRz7I0SqQJAabpDg0k8mI2dHhEtypq17vMGpoay1FPgJNXUdGuWhT9kyWfi9dn+NlWS4BpBBWzIIQVgWo/rmv/xk/+vLSWovBxVJmZPVfr4ndM+O0UtK+qjXBdSxmU7I05YHzF6QdzXVs7mwyGA85PjxmtqhpWs/RndtgwBhFlmiuX3qDUyd3SLSlU7CxvUuRpVy+fpXD/X12T55+13N4r3nzXp0A63tFvyf2RW+t4OLrr9KWc3Z3zrB59jQPPv4UzU8t2Lv8JmmeYkPCyfMPE9oWk2R0AV76zqucfyrh0Y/vrMY7SEfT+MQJcB3lbEqRJtSVY39vn/FkjFUBkyV0LnD7xnUaUp57/uN86bd/lW4x5cSpkygj5oOnHn6Q7dMnePFr3+CVF7/Op0+fQ1sTx9/Q1iXWaHSS0raypk2SCotBblbuGYd3HW1d49qWztXUdctksiUtw1XJYDgGzPJ3+useiZ371uoHbd3Ce+CC73P1e70PAV+XHN28zHz/Lrdv3WUxLbl29Sq+bbHGLDuhQswemrrG2hRiMtIXb/rCOaxYo/367E3ael3M9YJkfxljVs9DR71wpZY+AfcnNP25vbz3CHRoEyVrELPqPp5rmxbvWwZFEfWS+z0mFvatXrZ0yvsJOcAtY2XZ/4lrSylFXuQr3b2YXCkVCC5gEs1okNGhGQ6GVNMpg8kGZy6c52jvNovplK9/6QucOnuW4WQiU9NonnzmWW5fvU575OiUIR2OSLyM+1/9ub/Jc88/T92U5EXOZGOTrBgAJsZFf8bMUIGsyKmqSs5sI+3kSV6we/Y8N+s5w54koXQEhiU2XnXMCFNIaY2LjOm+yDcNgbpuGY4LBoMiskGFuaqNwYSAyTNsmpDlGcf6ePnpfCT7NHWNaysOmj2aWGi3iWEwLGjmxxSTnX/ndflehfMPyiWh3hrppT/AghTSZ9MZvnM4HL7zNE1LE/fInjHcz/tVXCf/JcZSRKKNNUakPRRRgi1IgT6NQHPnSPNEgMQkEYZpCMJ09SvGam+0pq0UBoy1sm7jfpCuyScFrZYdyzpKMfYqmet7cJoK479uKgE0pMIn+W3wdJ10llZVE7WwQzRGnqG1pW2bqD28koroY7/+79PplBA8VVmJX0yUp6zLiqZpODkcSqHDe4KKUhdKCs9vv/EWh3t7nNg9Qd02PHjhQaZ7+yQB/sO//td5++Jb3L17hztfu0PdNITOMR4Maesa7+xybHoJCIKY0WsFRSa66Xmao7TmxMkTHB7sk0fZF53nJNEkr5eR0DowGg3xrRR5kiRB6dW+y1pOLEW1lNrFc9VoUAmVcyRZHn0eOpQOFEVBVda4uuHm9StcfOdtrt+8xXxRSt6mNL/yS7/IaDRma3OLq2++yezWHYKGN0/s8OiTT3H6gfPkwzHK9gC9dH5otQKC10Hy9Zjmg0Kq6H0qhJyzhOJQsYBptWZSpHzri59HNRVvffXLPPzhj/DD/8HPcvrsg8sOy/V8f4kRhp4EIfIHW+fO8pf/zn/KL/y3/w3OLVjEokhTlnitUVlOMIbQOUZWsbVZMBqOMTbDKyMgHzL+bdsSVKAYFJw7d5bb+wfUwVNYTZoovGvEkwdwwRF8R6E95e0r7GYalW/jVQLO0dy5zu/+i/835ew/5LlP/zAqSTB+jVxCAKKefVCAxishnfgA3jUiI2eWhyleqSgrIbKD+BbtbZSq7F8Z8sGAT/3Ij/L2a69w7do1nnn+Y9EMMSUpctHIdS2ma8RHJILDSdeStg11vRCJnrbDu45hfH/X1tTzKbPplKqsGE42GG9siiRTluOtlUgoSLdQJA4LUdNasqKgWswo51OS4RjT1NgswQ8G+G5E1R1SVTMBcZOMXj9cijUI+Ow7fFPi2wprjZCT0kzwTy1+EUQN4N6LoynnoJS8ZrwXxb2YQcR+WXYaxbgGEOmK4AXlcgKi2zRH5wXYDGXFSBqIQOu7u5q/l+t7Aofvr+r3t+M6oXMrZQQ87GktgWWlrK/wyQfvAQ9h9y0WpTishrg4gosBEaI7pg3Ky4Q1Nlk6DYfQLYMha61oWi4TSSsArpPDua6bZcAMCleK4LUYH62Aa6W0SCnglg+9aWuMhe2tUQRGV0E3PZiLWgKWfZV+fVN1XoAYH2JLkZMAtq4qiiJZS7p7cLhfaOJsKgeXBGZpKpIPVd1I8KyQsTyeMhoWaDS+cyjvGSQGrQNX3niV2fSQM2fOcHQ4YtKJZIPJLGkhwM/R0TFtK0YUrmlo04QklXtpGgls8lzkMopBITplzhHIyFLRZ+4D8vvZP955SS7WTLmAZauiGAUmZHmKc0Qdmm7Jiu7bsbrWSRV6iZVIoiCMCAE7el3qnpWhtEInis4YXGfpnKNzjkyJ4VUx3kSnBU0bqNqOQg3YPrHNiVO7FMMR2ohmELEQElY39oE5KOWKtSQVQAWcF13mvbv7nDhxgo3JtrANg6J2gQcff4ITZ86isxSvFUlR8ON/+We4+s47vPLNb0RGwYqxfT+AZLRhsVgIwydJKTJh7abaEAIc3r7NfJqSDwdUs7k8tyQRpoyC1jmOjo6x1jIcDqiqGu/BmMg2jm3nTdNEXTf5+bouUUoxmUzkvsYbGGNJ8oRiPCDLM5q6oVzUDLKM3e1tpkdHFMkmVVmxKGsxSLP36gTDvSD7cq8LPYUilijuSYJWQNd69b2t6+XX1gG3dxXfUAQ0TVUxm805Oj7m8PAQ7z0bGxtkWY41lqZpl0CdtQZjDWM3xoVAkmUoo0mzlKIQkyKTWTCiS6eNRRlpUVJKgRbmqVVRM5xedF+MblxsY7166RJVWeKaGtdUuM5Rd46mqsXcyHX4tmM+m60Y5UHRNq0I7GdJDPS7ZfGm67ol86yqKpRSS2mB+xnavXlhlmXYJCHLc7JMAG1jLWnU0kPdC9z1r/VBBJvWrz748cbw+DMf4uWvHIGWoqE2CmUsidLsbG+wvTFeMvaatl6xzmILaZIaurrBJJahTcSE0Amz2ERzu/WkwRgxtKmbmsxk0kYWO3581D0l6gI776WlrWcOex/Bh578o2NVPAiDTsnz6//dtu1aYUBTNRV129KWFXmR0zrPxtYmXdeircWmOYnNUCrBZAtZZ11JVztUmrC1MWb/xlUGWUJbl3gFZjhm4/wTPHzKL53X+0D3fkbw/XvB+hVizEMPAMTup7ZtePP117h28SI3Lr7GqcmA4/OPs3V8k7defJEzF86SDccsjg9wTUOSpkDAFDknT5/njTfeYvfkAyidxUReVGGHG2NOnn2Ab3/5yxzeusPJ3R2m8yleaYaDnN1TO3hvaBrPiUeeoNg4xZf/+A9QxzfZmOyye+Ykx/t7ZEkKXcutGzfZv73PqXOPQfBcfO1Nbt28yUdfeIE3Xv4WXb3g0Sc/hFKGg4NDzj70MEQ2IkrRVCVtsyCxlmq24Euf/0NOnd7h+HjG6TMPcPrsaV595WU+/sInycabBHUvmPg9zf8PwPoNy3jh3RTS+/ck0e73HN+9yZ2rVzi6eYfp4TEmyTi6eUN+SYlMVl8sByWSDNF9vu9wCnGtJIn8u1+/vYFvCDqycgO9oZlSiKlxXN+970fPOESppRllP/dNPBd6UGr9mawkKHrAxC8LfyJZlMfivaVrV/JvAQGG+zhagGFwHQT88nWsNcLci4WwEBmaqgfElbQBW6txrRhmZUbj25pBaqmVYu/2bVxXs7W5SZFl1GXJ3vWruHqHi6++zJkLj5AXAz79Ez+Jdy2d81y7cpk/+oPfZ3q0z1f+8Pd57WtfYWNjyIlTJxlMNnjiIx/lzIWH18ZirYV32WKx+nuaZ5Fh2UVSChTjCWcefYJb77yJNorj6QxtZCxnU9k/vfcQBNhzXQcavAr4ztERAb8g4HzXOSkOWyuyHoGl07pSiiTL2Nzaiqa8x6vP6gPloqKpO6qmQlnNYDSgqUY05ZzhePueaX1//HL/1Y9Jz0z8fr+W+z4sc9oQohzOco93zGdTgJizNMufq+uauq6F5LMmu2eWJAhLMSgwRhOco2sbskyIOVmesJgvUFpFXWdi3N6RpgnWZKs1aNVSV9uHgNWxiNODw4mAN8ZauZdAlP7pgQgVARTZJ0Is1ijTM/IVLgjQoY3Bt/0Zv5Kk6TpH24r5WdtLxvhAkkh3QM8X60lcw9GI8Vj8ffq9UHLrhBB9BSCI3ndZ0XWBb37rW/xc15Jn6QpbiL87HAz4h//n/45qsaDpOlzw+EYY7089+wyPffgp/k//x/+Wg8MjiiQlySXOIQQhMBAAgzWGxEpxxxrFIM8pikx03E2CVpqjgwOGwyG+6zubZA8VOUbRMa6qkrquyWwSi1k+ym1JXN31WETX9dQ5stRS17X4rSiNmL/Lc6uqY7RJsDpBK8lxDw+PCHiKzKBVgfMiA1QMBmxvbzPIMob5kCIvGE6GOBW4c/MaxWhAMRoju+19ZL/3KM7eX/D+IFwC5gpI2GMSoe9gC4HGdRwfH+B9x8bODsYYblx8i3/x3/9DPvHjP8Fzn/wk48kmQQnDX4VAUy5oq5rp9IjxZEKSpXz761/FtS2+balakWpMjJaip9Yk+ZCdsw9w4tx5zj70KHu3bvDqV79A52fsnjgphsjWChnSi6eGR4g0SWo5c2IHBWRpupR0W2pB41k0HVoZxqMhGCta1taCdwx8QM0tX/qtf8OpBx7g9MOPEcJa7hMANAd3bvGlz/8BH3n2wwyGY8ZbO6TFAEfgW1/6Aldee5VHPvRhHnv2I+zt7VFPF5w4fYZRHLd+v+uBGaUCJjE8+uxHeeDJp2JhSdjydVUuC5yTjQ2yXgqqrXFNg28bUu9J2oWYrbU1bSeSoMZouq4lmR1h0mMWR4cc3rnD/PiQzd0dJtsnyIYbhK4FbZY8X0JYmtileYFV4Orq/8Pdfz9blmV3fthnm+OufS5fusqsLG/aVFs0gEZ3A+gGZjADDKEZzAw5HAZoRDGkYIR+0X+iCEUoFJREUTQjkBwOAMITaO+qTVVXl3eZWVnpXj573XF7b/2w9rn3vqyqwQAkQ106EVX53nXv3HO2Weu7vuv7pa1LXFNh04ykNyb4QO6gmk5oFlNUkqJTMRsUlj0C+jYl1ewERyArhthijElyMFb037USzywcDQHtA6ppsFmGTjKRf7ivG727HVqZ5XoMjs5kT0DugPIO15Q0TY01CTrrkxQDTFrgI0Hgg/bgv8nc/RvLSiy/RFgZ1MimZCVQodtkZJCEtUGj4q4kruOyiZalGCkR5LVt63ABzl16gLJcMDk6hoi8S2uaJwTFztmz3HznnaVOkY9siA6wMiahbcXNvDNVq+taAIago2RCd3MUSaJZlDVGCyvNRuf1JNEURX+p8UQQvVatwuomKmG0JtEEz0bdocVisWRTeC+maibNpEoSqwZVXaOUwxa5bDzRRK5jHIuLaEvbVGIApgJpakgjsGITJ4mBgvlkwqDI6JhbdVUTvMUCuU2Y7t/jtf19xhtj/HBImmUc7N3DWJHQsInl5OSExWJB2zS0ixpVCpjT6/eYzeYsFguqKqeqa/I8I89TEcwfGoosNjyoNZ04H4i6GbIwR9YH6jSI1jFLrE2wKNIsXYKvXdXdNQ3ei3GgD35Z6fXe47saWNTEUUjsW9ee1ETDLWMIPsUrKBcLfOuYnZwwLysuPfoww/GQt994jWG/z9nz59FJrLQr0U/s5tsHMkV/ho/lXhA3Od968v6AnQcu890fPse0bsk3NxhtbHDpgQfZOXeetNeLyaCiM6KeLxbMFgseuHSZo7t30F7uawfcdcwkay2DXo9yvmAxmzMvppyc5HIdUZjEkKQZbVmR93q0wYs2IoE0S8nynPliwcnJZLnO5HmKUu2SPd62NfP5nMPDA2FqVA3GiJ711vYWW1tbjEYjrLGkWYpXwuR10RFYm1qC8zRj6h0GRNZg2Y1w+h5/EIs4XmHuN16S1/zPLB4oCA6qumE6nbGYL2iahsFgwHi8idGGuqnpjfoijYNIRKCgdZ4s78ummqWkWRaTkR5YQ17kJGlG0evTH46izIOnbSomhwe0VbXSuksSGt+wv7eHAlzjmB1PmE/nLOYzVAiUZUXaK5hNppTzBdoa6koMAaW10NE2Yr7gQmD3wjmauuZw765c68iEDCGQRu3LdRBiPWDtOi06VhtaUTc1NtGkdq1g0ckOxTW10918/0Lnz+axLLayVnRT0iplfKD1NW+9/CKhbigGI9I8j5V++Y6dpn1TVThXS/DpAyCt/kE5VAteQZIJg8k0Fa6tpHVVJ+8pdoAUOXuJXe67SoWl1jBBOoA6MLjrMFJeHncxECaISRJKo4JBB0QPM+5/znmSvMA70Z7Oshzbeg5OTrh3Z4/zu2coBkPqqkbhaGOi1yYJRZECUa/etcyrmtnBEbsbA1CGMrRom/PQ08+wce4SGzu7EE2cQlf0ue+4H9Bbv0dLdkqQmCgoQEm3kPKOP/iv/nNuvPkW/5t/+NuEpmTnwnneeOEHzO/d5G55TH/QR3tPVbeAZjQeUfT61HXJ1sYG1155kcc++WnSvEdoa57/3ne4c+MqZ3bO8sznfoHrb7zG29dvoBIrLXbeYXbP4PHMq5KTvX303iE9DcX2Lrtnd5lOTyiygmq24Nprb3Lz1i28Uty89jq337nCy9/9Oq/99CWmR7f46Mc+zvPff5V771xjejJnMj/hl3/zt+hnA5Q1HB4dc/XlF/n053+R0BtQO085r3j2a9/i6OiQf/s/+o/JR0OyNOXFZ7/NR3/pK9g8eQ+79oMKZR+25HR1vHccvec7BGlCbOuK/Vs3mc0qZvNS9kObYInGm1akzoRR7+KalsQYVOaZaH0KEBxQS5PFDvhZ38e6lvGiKJbSJzqyF5eFNGNIbIIPKxPR7vM68Hj9e3XSEvKzY50lWsXWUK2VxI6xYFQGMe1SWkUQpjNz0ssY0MFqrdErOYtOaznLsvfoYnbn1wTZ03tZQd9IDN/r58znCzTgWtmfzpw5EyWUPK/94Pu88N3vMZ+X3N27RwuMhkPeufoWyrf0Uo0ONSrU6JAR6hJVW95+4cdsbW5jewPMWvF8BRCfPrTSZJkwlDoJJoCkGHLhkae4+fZrqDSNHiAJRd6jrBYUhbT5LjvkgqypgbAiU7iWqlI4F6irVmQLCjHNUtacuoc6SRgOhwAYs4jUOyHi+EVN1TYcHhywfWZnWSCG94JI3XX/14LEH/jMz9bRmS1LJ1JYGi+CGD0aQIeKen5CbjTlQu5B61oW5QyTGNqFyFq1PmpmAza1KCXSD8Zq0iyR7tIQBNgkkA8HXH7sIjfeeYfgRPda00k7QNM0AvhnqZBrUktQammapiB2fUWvAbRsR5Hx550UX9ERZFUrj59TXT9eQGetIpuwdeCibIsWxnLbtmA0bSWdq04bqqgX6uL4NEpjtRYz6iBxZlunNI0jSaQNHTyN8xilcbFbDmNwSnEymzHc3EAZMejrQCnQwlLOC5Jen6PJRHJIkzD1JSZJUSbl9Rde5Eff/TFnNzciEAeoIJ10OkQvn4QrV65w984dWXeNIjGWPEmFLILgAxubG1SVgEo2Sq45D4XNsSaVtaboSwymA8pI7Ik2NE40f42R9djq2KHhfZRgclgt3ZGaQNAKa2Set1Gf3SmNQ5H3+2KaZxK81Rg0ibUksbjXP7NLVgwom5bzuztkecK94xO5JtbgvDAMOmJaF2vLGFvtE6v13J8qcvwsH6vVR/jDASHl+LalFeSfcjJhoz/i0mNPcfHBKxzcvsn+tbd5+et/wUvf+ioPf/yT/Nwv/yo6yfjR1/4nXvrhD8isZX/vDiZNKfoDDu7eopem9Hs9zo4T0p1L5GlG3usvJU69dxxdf42br/+E/sY2j338k9y89hY3btxiYzwWWQICqm2kE8ZEuSCtMNGYUKEwSUYA0ih5Wk5OODo8ZjjeBBWYz04wNsEkBo8Ueou8R2+64C/+u9/jH/8n/ynZcIRRKoKNsoYPx5L7//f/zX/Dpz/5DIv5jIcff4zbN29x7cUX6JvAzZ+WWL/ANS2vP/cCpVb8W//B/4HBaBylKmL9LC7uBh07F2Iu5zxNK5JnHVZjbQZAXS8IXgGaoBMa12BsH2tzdFGRhZhfW03uPUmWYXUivheLGSfHhxze3cO3gY0zBpOmoMXfw0TvCx+ZuDbuea6txVfBSz5kiiEJisJ7gmuYTg4ZZrkU8qzF48AHQlPTLKbU8wm2N0BnPZTNCcqAb6XmGgIhaILNyQYp1b27JDYl7Q1X+WhHcFwrFBtlBG8KnkA034aIO0b80bfU5UxYxSYjKcbotAdxjHxQvPk3zXn/VoZ06+0F3vvIOIugz7KK0L3+vvfE/3vXUpaLyAYMGJvQRoZYmqa8+847hNbT7/cxmbBLQtRvca7l6ODw1DlUiwUhdOxFloyItnXLtp66ls/fvXCRYC2H+/skWgZO3XiM1eR5jm9b8jQhtYaymjFORyR5gTGG6WSCUhrXemrXYpMkttVAQIx8QkhRWphtGtFIWVQNXmk2N/os6hbTVQIC1FWDyzJa57CRSQsg8inSMtbdUms0rTECeKUpdeNIkzQOthjwx5ZskIptgaKuW9JUQLfZ8QlJlpKPBkAQg4AAWZ6zsTHm6PiIel4ym80E1G4aqsMjbGrpFwVVVTGfzxmOhmi1gdaaxbyUimuy0qITUON0VVKqBd0A7vSu1h7rEg+zkqLwwZKFVMw5WtGX7bSyuuDFha51OSY8iN6m0pqmbYWR5m1sZxTWplYiPxJcw9uvvsylBx/iqac/QlHkFP0eaSE6NtL+o05xfz4swNLq6BhDHhUE7K5bx9Of+CSf+fwvcXx4wnA0wKapBA6sWAUqKFTUFh2PxvzJ8y/w9GOP0jY1eCMaXHplWNDpFI6GQ2bTKYeHCyYnE5QxwmjSkJJHJkPCbDGnNxgwaxxpljEaj5jN5pRlhWs8k8mUyWTKaNSP1XSRk6nKWmQlggQrvd6A8XjMeGPMxnhjKTngAzglLep5IS7P89kU37QspjNmkxPRbkssNkmoqjqCZ/HK3bfmdY9Bxwbugqj7r3dXEFsd97dK3//4e5iI8TyauomFmYoszxmPxwyHA/K8oGxqAkpa7dFiEtfPUNow3thmON4g7/XJ8hybJthUdOla1xn7SYvvbD5jfnJCOZvSlAsssFACAmpjODk5xhqL1ZrJ8TEnR8e0dcNiURKCirpahsnxFN+2zOYzWlcvizxt2wo47DyTcs7HP/dZvv31r2F9S6/XRwGz2Ywsy5jNZgAr2QKEldPNeWG2OYqezE1zSt9PrwyvCOzt7UW5DMvOzs7fcN78rBwrwAxWrFbnK97+6Qsc3b3DeDTCJIkE/IooX9S1Q4lOZUBh00wY+mmGQjT0xZRGCoE6TaKGe0rt6uW8Xg8wloGGWiURWilivXSpF74853A62WD9M+KxnFvE9kYXgSVlyIocnThcCOS9PsPBkNnRCfOyJMkLil6PuipJIhvOtS0uQBIDU60N1WJG3QYOjk7ob2zT62/y6Mc/zYWHH48dOLGIeR+TZv3f99yVtWsiGH7ABWm9803FT7//bbZ3z3Ph8hW2xptsP/0YGsfw7C53r73G5N5dds6cod8fCCulabh37x5nLz3I7b0DzuiMUdbn8U99hp988y957q/+gp//9d/k5ed/zBs/+Da+mnN87S2a1qGMZePMDpef/gjvXL+OOrnHfHJEMRhjgcnBbVxVsrO1yWg4olpIO9+7t68LkwNLSFI2hn16ecrtd65jDHz573yZZDyiXUxYHB8w7o949KmP0ju7jatbXvrxt/DKk/d7vPPWq9Te8Utf+Q3OnL/Eb/7b/4xv/uWfcW9/j80LF0j6Yz762V/k63/4L6nnE5K8zwfg8Kc0Lv//8TgdFwuzbDGdMDk+IaDwCtLBgKZqRWIBJCik046Vz1mXY1ntU6C0lWILiqBF+275OpYWwRjVtaZ3hR63BMSU0vT6PZET0J2p3EqPv/t5aXi6VjTvQIU0TaJmqkfrlRGXdLlI4Xc6mQmxovPTUCI11rZuGcff35lkjWiAhrDyOZDXeCFMBCkip2lKXbXL8WStIU2k2OzahsVsSmIUedHHxuurCCRaUdVzpkf7tOUU5zwn8xO2Br3Y2RBJMG2gbhyNc7i2JbMNN956jQee+AhemeU90lH+oev2W46D5XgQyZaAMDRDAyHrcfGxj3Cyd5Pje3vkRY+mLKnKOQqWRdS2aXBNS11XtG0j70dMX2laQpA1ua5KqqoUdmqekiZiVKajuXNACrSdWWxTVxS5h6CpJtWSqCGFghWI9EHj+/2fWI2XD9PRdcDC2tj3opdZLcQzp/NjaVsZ71XdiLxWZM4aY1FBiqdaIblGIWbngYDSUY5EK46PT1Ba8/Nf+CVuX73K3ds30UFFjwYVx5/MvyRNQKmlmXP3+JL1D1Ejs1neY6VWBZaOnbY+j7rnddy/u25Y5wLaREC0FWabwmN1ILGK+bxGEwSg1Jo0SZkvFjRO9IhVzA+8cxweHgjrPwTKUmTQEp3SeofVBoVhUdY0AWZlxZVz51EYqlK8gbpYAh9wbcvv/vu/y/lz5/if/vB/5F/8l/8lg9GQ69fe5sbVtzk+PCBRoPAkNppu25SIEqMQfeGD/X2sNvT7BUYpkuhhIQaWVsgXdPOkFYO/ZZeEdLrJZdTL9al1jiQRcD1J0qUMI0GkAbruWQXLrg0QwHo+m1HXUiw3sMQ0tDFYFK0T35FujvtW8qg8z5lXFaYY8IWvfAXnFrz80k9AWwbDYdR/jt4KWmHWyBf35ztdDGjW8Imf+SOs9rigRJLozs0b6LxA24Q8LcC10azQ8dKPn8O0M4ajPqPxmHI24ZXvfY93r1/j7JWHef7P/4RenlBsbfHUxz7K/OSYg3t7FFmKTgb0BttQT8nyhMRo8izH5CLX511LlueM+gPK2QnvvPQCSidU3nHj3RuMRyPJ51KL962sE3E8GS1z2tiEJE2FqGjFQ6BqPfPpDB0LOJPZHK80G9tjdFFQo1AeeqMBt969xrf+7E/4ld/+RxA9dQKA8ujM8vNf+gLf/tpfcLKY8MrLr+DLQ87snuXygxfpD3sMhn2aZoIOil4CdVly7+5teuPx8pI756LxZRc3y/VXIVBVJXfv3OHSlcsiL5N0BQdBVpKsgEQKvEkP0jSjbkquvf4Sx7euc3b3AtsPXiF40FlgtFtQzWbY+QlZ0WN6dMDxwT5t0zDaOUOS9zBa4xRCclOG4BzBeZFDi14YwUtXUdLvydrcLPBNn4Vvqco5uVGEJsqpNg1NVdK6FpMXFBs7BJPh2wavRTJHIxild1KwqqZHeN9K3mUzlnrDa2uAXCshAYXgUN4R8HjV+QOpaPzcUldzaIUtbnsDbN5HlOv/l42T/8aaw92/3SKyorevgX8dMIi0U72HZRPElbAqF8xOJsymU4pMgNTKe+pygdWKdFDExEE2pTQrOD46pG3qqDmp1hZSqeiBpq6r5XtAAjjZjGSzDknCL3z5l7n65pu88MMfMkwTbJKjraapnRg+5CkOhU0tzgnGWdaLpQ5bGmUUykqM6bpkV0fdFYW4pBplKFsHNuXyI48yHI+49e3vkiUpiTEEH2jbQNW0mESBMrFVX66V9wpjBYzWhbTaJc6QpYHBQNrKjBLgRkDb2ZJR1wXDPnhsasELQGBtiqulVbfXG2BtSpb3mU8mNEXFYDiIgaZovh4dHVHXAsRNpjOG/R5ZaplPZ6SRUSJsDk2/X5AqG1tzRRC8O58QwjJZWTJS5QYtCyjrAWUbWS0gk9saDUZjsnT5GoKwA4mBsHN+CexpL0iFbhsxO4xj1mqDSiLbO5UEwbjAzTev8thHnmK8tUNSFCLybZM4iYNUdCAmHaeZEh+OQ6RfgtjFo73jzrvv8tgzz7DdG0Drl604HdgW37b8dzqfcfXttzi+fYudrTFnNjfFfIISFfTSeMYYQ7/XE4ZKCJTzBTZJGAwGGL0JLtDW4gTalDWDzT4Lo8kLaZkdj8fgoch7zGYzynLObDaXtldlQUkxJ0lzRqOxFD6KnCzPGQwGDAYDYUC5lrzfQwewxtBWLU1V0tQ15bxkcnRM2zQkqcEmBqM1WZqJoYA6zRqGFaNCjpU+4v2stm4tuB9QW17S92Ha3H+cZmsCeMpywWAwikYzCf2NPsNkk6w/ZrixxXBjizTLsIlBR1mMum6o5gv29/aoFyXHh4c0VUXrRKMVVqZj1li0MmilcUoKR8FJUS2PxozTyYSmEtM414qb8mImkj6zo6NlK6X3HqNWbHIlIlZ4PMFqxlsbtK20M9e1BNRJbE/uFYWwqAC8jzIxzfJ6SlIsOtWJc+DitdIRVBQ/aKyxnDt3jgDMZtMPLdB0fz1Yis2Kqplz9Sc/xuJxdcliAmmeY/IU4TXFAqprMUrR6/XQxmLTrktFWsCqakZZVSidoKuSNEsjwz/Br7V8d58XwkoCAmKSuqaP1QHz6+/xnR5xXKtDZCJ2+otLbWOn8KGO39FLkbSFLMupmpbGOYo8ZzDocTwrSeZzsiwjyXtoFd2Nk4yqqpbjSWtNYoRtUycFz3zqF7j8yKNk/fFS/56Y/K+PkA8q2qw/v/oFvPIEZfB1yTf/+Pd558XnMUXO2Ycf54mnH2fy7nWS0HD3+lXu3b7NA5cu0h8UzOcTaMNS6/noZEIx2uTqtRs8bFJGZ3c5s3uWd155kUuPPcHLz/0AmpJLly5RbG7g6oZqOmfv9h1uXr/Gxz/1czz7539AcnxEkvUokpR8Y0xQQ7TNaL1ndnTA8WRGSDKuPPkxbt24wWMXLrCxscHmzhnyQZ9RLyMFjo+P+ekLP6GXpUwmx4zaiiceepRv/sEfspjP6A0GvP76m3zmi7/KxUeeYDDeFvCu6POrv/GbOFq0SaXDJ8h8n02O6W2cicYh740tP2iuLhmt63vUz+ghc+W9jNH3jquAx3O8v4c2hnqxQGlNnvfYP7krYzK2ePsgUi2SOOpT+4uPrEUfoK5b6qahqmta16IJnN3djddW4nRrExQmArDS0RacMJKDFrKE0god9/YurlRKnQL4VgUSFV8HncRXG+XBOgBkaTbrY7wWJEYdDPoAmGgyuj4mlFoBcl180YFW8p5O+qaVDoW4zsQEBG2MmGZ7j00ysiwSOlwrJq1A8LK/CugnHQiz6RTvHFksmKXWkqaSpBPBGOeESdmWNWY4xFrN5OAuzfxBisE43mcv0mpeCfdTSwFTxU5G+aLd1dTYRArndV3h0Gyff5CNM+eZHB8xPTqgqRaia+iiiU9TS3dF3VCWFdViShWTWBeZnUop2kZMvqbTGWlqsTah1yvIIvlFOo4isOxbtAGbGFQJBmF1a6MxNpUOBqXeE7e/3zi/79E4/n72j24dEhlDAfClG1iJp8ySTQxZltIsZjTxWltjmVQzyrIROaeqiuuAjGMT8540SajKEkXAaAEBXBNQRjOfTvjOX/0Vly9d5PKlSxwdHVDO57EbQAknMubcNkmidJ9e5sadNng3d1Yg5mp+uUi6Ak6tJeuGel2r8nLdAlwrQLiLxQjvHEYFMquYTaekVuMSzXQ2Q2tDGqW/6mjI1/09HxqkI9BjWkNTV4SgSG1CXbdgLSezKdOq5Oz5ixiT8kd/+Pt84QufJ7EJiU0wWrHR7zPu9Xj91de59sabXL5wkTt7twlNxXM/epat8SbDfkZdz+n3elIAjwUka8XoT2tFniXiibFcdzyJNaSJFSM3grR0WyMeJksTuiinZ6JOuu1kFDt2voyfINp4p9a1bk3rCHJybTx1I3KLVVVR1xU2yZYdHFVVR6+VBu8DZVWjjKHf79MfDEizjKZtOZ6cMN7a4o/+4L+jqec88dTHyPJcWPHLmMfjg1p2ea2zhQHWiw0flhh6WeiQ3wQYTCyf+PKXefUnP+GhKw8zHm/w9htv8OTHPsK1l16iOa7wbQ3aY/OcM5sb3Lj6FrPZDKs0w/EG/a1tTK+PLkuG27v0S8mp9o732NzZoGcVvl5QTx0mDDFJhg+BNjha51FpxmbeE4+jUKCAk8mEtq3Z3BhHQlNYFnO1tihthZmqZN2oqgoVmfuND+wdHNErCu6dTGgQr6qsVzHoj5Zd9LnRvPHTF/jS3/+3UDZZEjWFpKjROufX/v4/5PwDD/ALX/pN/vC//r9zMnmHBy+cxzjF5OCQtEgp5xWNb6kdy/xXPkZM0rQX8zfxSBcvE5QiTTPOnNmN4OgqJlJKURRFxBAhYVWIS0yfy48+zYsHB7z86pt8/qHHIXjKqqXIM9KhRdmov55mYqI6PeHgzi2yvCDJC2zU5bdJSmgd9Xy2lLhzLsYEWvA6dILN+iRFi3OKulowPz5cFbSlkkJS9Mj6I7LxrhSuqwU2Ph9ifOZw4BpCNQdcJOwY6U6kIwSE5RoA4H0rxarob7UsfoWAxuPqimo+QwePLXrYogc64d8EGP7XxdTvd/ytyrfrG/5pJtP9QcLplHYZCIfoYlrVAhYGofvLgqTphkfjWvr9PrPpFHwgzTbkpNeCUre2yVhrWSyq5eMrdoJFKY9PPc4F7rx1lb+88S5nH7jA2TM76LYhhEDV1BAp5jrNuPzow7x7/SqzxYIkMrFsdG0uy3INvDHLqm0IQVg8rTA0J1VJGTxXHnuYn774ItOjY4ZZgXZgijxyFBRlVdHvpUuzvQ5g19pgtAT6XTtdlluitx1N42SzmCkm0xPSTBb00TghRDkO0TTyhKaVQDfzpEUOSFV5Z2ub48MjRhsbLKZTGYB1xXQyxVgxslosFhweHLKYzSSYjsL40+k0MgEM5aKKJgIG1CoAPAVyaRXbhgVoVUsGmlRS1jcjpdQymfDeyzXWGtaSSXyIFhshyomECBD7ZSITryYEFZ0xW5QSjdO6kcDNNA3jrW2yYZ98OCQthqLfpAEi4K9Oj+UPQ3K6fqzug8zMqqpEkyfmWLP5jF6eSzWdLmg5/Rmj0Zh/9u/9Li/+6AfMDvepqppMi+Zol/R1750tREe46Peo64aAsAMmJycMhqKB6tuWxFqauiLJMggiG6JGkBjLcDxiOpvi2oa2jm3lNhGH10QStSzJcIRo+CDBcacRVeQFNkq1lIsF5XxBW9fUdcV0OuHk+AhrDBtbmxRFQZpaktTSaWPf3zL5fgzi9weOTwNH7wcw3f/YKhHx73ldGtkJSZKIU+tiAQT6dY8QFJU/ZlHOefO1l3GtYzafsbmxgXKie+cqkdQp+j1u374ddcvUkvWhtKJ1LdYmSxOwNBUmtYtJvgDzepkQp0lCW4u+nrhU10yn02WnRpZltG0jLYCRNZVkooP3kScep65rBqMhoWkk+I46byAs42SpzS7MKOI9tUnXSRK18Nb0/LpkKChNknXrq1zjQX/wbzJNfuYOAVpZrZPyqPznA1lq0GiMNcIW9i2ERO5tCATXRnadiWxACM7RtJERbKTwijYEJ4wfYw2+ER0+kajQK1a20dEIRgLCbov3oStGhrhumBgwOsDjfCMdN1XNyfFU9CuLHK0MSq0c0bVWzKaVAMh4bJ4x6A3QqiJLctIkI1Q1eZoxbzXHJ0ckqSbrDQFNtajJtraZHs8ZpIq0yNHKMih6HE9nfPHXfpuLj38EcekWB+nQXVfZLN5z/U/NVRWWAU/HTCFW+IOX7/vG89/l4PobPPmJTzDY3OD5b38bjSUxohkWqhIPjMcbtFWFCWDzgsa1nLvyIMlom2uvXaUu57z8k+d4/OknQRvqRcnRwR42zWi1JR2OsDrFGc9oa5P57IS7e3v0hgNpHUb226YqyayhDYqjw0OOj46o53Py8QbPfP6LXH/jNeZ7N9nYfJLR9iaTe7fYuzEVo6rDE05OThgO+pRVQ1YUXLhwhrtX3+TurXf42Cc+wWC8zZvX3mWwdZ7xzrlYhOzGhUgfaGmC5+j4mOODQ+5cfROT5myfvSjsku46wnvW0eUaSydc9uE5Puhs31NwaGumRwfMjw9pmorWQ314hGLFovbBUzXSEp2YVRF3fT8KSFdI0zqmQdbSizs7WKtPsX4DcVz7sIqxwmps6yjv0AG+naFzB8QCy/h6neUt7wl4D3UtxsIdsGztyuROzGNrnPP0er0lI60DWdbXdK1lfeti+nU/j8DK30MpDcEJY5bV2JHP87FgGVBWQWoJ/T7ee46Pj7HpygfANS1t08SCmWI0GtDr9SjSLHbHSVGrbaQDsmod8/mcqhoyGPRJtGJ2fEgxGLEiy6zd+yiTIeZ5EVwyq/VZrqWwpyRBdNisIBuM2bnwIN5JUbZezCkXM+bTE9pqgWpbqtmM6USjZ4YqSsQ1jeQ4ndu8956ylK6exbwizWYkich4iHGao64q8f6I+6uJwFPR65H0+iRFwZKBvlaweb8i+HvmxIcGYJJ/Zax5kSp0PnaMKrTSLCYLJtMpwYmuMyMxdk3SjP39I+qqlueBrAMRtSbLEtFmny/QHZk8+Gj6aAl4NBLv3Lp5kyzL2NwYMxyPKeclmRWvCE8Qb4gQlgUH22n3xzm17hegtFrKycifDMIcjfOsm3fLOU0k9KhVN1aI7ObMZlTe0/ga1wpzOrOGQZGxKCtUcKTWSlG3acmKgnY+J9E6MmzV0lxuJYsjeWqjE1yA6ckJ87rls5//Rb7whS9Rzxeo1vG/+93/kEG/jzWa7e0t9vb2eOLJp/jet79DGgJFajmzOeb8g0/z/W99nWGvT5EZ8kIYx3mWYZUhsZYiy1FI92DAkyaWuqogiH6zR2EiMKeUXBtrs6XWeiclKddMYqbOB2c1lsxyze28NVaEstPM7RAkbvdBUUciXJJYFmUp+XzogM+AC9K5EJDx2LYtZVmS9/vYVOK6b33r2zzy+BPcuP42aVFEw3Ej8QEqhjSrNfz+edyNi1Omwh+SQysftdMXjLd3eeX5n+BnC9599SVuJRlWaV79wfdx5YJeJkbH3gVMlpEMC3pHCco7qgBZb4A1Oc10jjWGM489zfbZ87z13He5efVNZrOK8eXLHN65CfOaojqM3RmWgICDyiSyfxcpZ7OCRVVyaA45OZ5QL1rO7Z4l7cv+opUU4tAJQSU0QaF1QjWfSJGhacl7Q8YPP8ADjz/Fxvnz9AcjXv7e93jt+e9S3r3NaDRCBY9Bs3P+HDrKnErBsuH2jWvMpxNskvLRT3wSk2Usjg749Je+iK8rfvStb3Buo8/mqE+wlmpRYdKCJ596gvFoRGjFlO/45JjJ8T433niDR5/8CNsXLqD8KlrTiaGXDGRNFRZat+gtMYmOmtH1ynulyXoDnvmlrwh+pTyvPP8jVFOytb3N1vY23vcgeufYNMcWfarZCdV8ymwinkU4IcSJmZug2jZqgxNkP/aNKAF4naKLDTJtyVxJGz2vbJqiUHI/jMgwKW3Jej0adMS8ZG/1IZAVPZrFAhWiPvuqlr3cWLp0Y4WNeoJ3UvbzIiHhWpEqck663vEt2iboNEfb6B/wv8J2+jcGh+9fGNaDLxFd/2BW5RIddwHixmPSBBXZBZ1jqS8F1DQ+UM5mWCVi+EcHhxJ4sgIoQghLIKKu66WJxZItlCQYkzObzWmbFoWiF/W29t65QWo1iZWNadDrCeiRe7xvuPPuTT7yzCf55l/8BYPM0iuyU+7PwYdYlXdihUgQALKVIKKqKurW8enP/wI/eu7H1IuKBx64FFk+M+q6xKYWj8e1p5pZl5uGMQHt/KrtJF5raw3a6diyJ0Zxs9mMum7o9cRlOE0kIXNti3NADECdd1RlRarFvGC2mHPuyiW8c5zsH+CqWsC69IDZZMqg32c6m5EkCft795ieHDObzZZglXOeqpRWfAGHLVlqRcuIVcVaQJsuMSGCwV31OKxabVi1Na2bkkA0iuykIyL7otMrlg/1pwBNa+3SKHC5cWsxT5B26oamrrC9Hpcef4ztC5dJen1hcJvIhosA06kE7L7N/MN0hAhi1HWNSVNc3WKMYjgaSvDj3+9dsnQbbXj48cc42LvDj965ThL1vLX3OO2W47ZjqtgswaYpHpYtievrg3cSPM5nM8Y7OxyUe/SHQ5RWpFmGcy0bm2NhNXkZS2maIv6AXeVd4+L3CQQxJotgqrRSikFaVVZMj4+ZTac0jZjYFXlKv9+nV4ijd5alpKkUN973KrwPEHw/6637+VQC+wFg8nrweD+4vP54LxpMHB+ecHx4QlMLs3Lvzl2MTcCL5m61mNM6x6ysuDp/mZ2tbbQSjTZlNJtndtg/uBdlHHSsUgrIGLxoETZpsgKKs0wMxYwmtVK0szahqkq6HakDLtcLcgB1XWFMvF+x2JOmKS549m/dwtUNTz39FOfOXeDkcJ/92zepFjNcyxIQ8XH+iWSBkUArmqykWUrRK5brBCCgcpqhbSKu8WrV4iTX+8M3X2HFFPbdmqMEhG1r0SnMi4LBcCgtpfF5YbQ5MXsILha3NF6t2rq9F1ag0orMGIIWpkXbNgQv2oAdEK0UON8SEEOrpQ40941x1tnuomHq3Zq0SOs4LFt6wwGL4xlnNhMyswJzfPCkec50Nmc2naPKmoN7h5zdPYNWU2nXnc1lDiQZVx79LG+/8DzDZEFaZLTzkhLN9qVL3HrtRbbCkMZaqvkcHQLf/vZ3+YePfAQTlSSC/OF4Xd9bsLl/rRcZ/YCnka4TnaFJMBHcvHP1DV7/0bNceexx0o0zFBsDHrhyhWsvvUJIJUko+j0e2d6maVvqRSXxT+vpjwY0AYrRiKc//gw/+uZfUjn46YsvsbF9ht7ueUyScvfuXZJa/n6lFPOmIs1SklQ0+xeTCcY5snwk7a9Ny2xecnh4wMlkKky2tqbJc/LhBkf7R4RiyLnLj/DcD55ld5SjVUuaaOblDFRgtDGm2j/i6Y8+TZ4VmNTyS7/2JeaLhnOPPMI//0//j6RJho3mrVLMgIN7+4zHY2wuCenG1jbapvzgO9/j7zzwICE4XDACttxHJlhfL4X52J5iNP3MH13Wc9/5vqdYGKCtK8rpCW3bUFY15aLGwpJhKPsloAyLao6J/hLd5ywT9yCAj3OO8fYO2jWEqkKn0pGmtBR9Jd5SoAMBT5JYia20FIA6Caf1M1852Mv5J4kYP+uuWBSCSJoFAcicc8Kgi2t007a0TgyrFGrZgYda7Y0d+CLruhYt/ZhfiAlsbEeNplVdjOicQ0dHb+8dddVS9GKbqrW0tZjgeB9NrxJDTgKhj1aKRVlTR1NUHc8lzzP6gz69Xo8sy6TlfwmSQZJa0jxhNptTVRVlucD7EQqYHO6zff4SGCPj+lSBCfCRWaVEk9J7ySPkemmkqyPeL2xco4idXamwd4sBAyJwWZUc3b0F+g7WCpN1Mc+ZTafMZwsh4Di/lFwCkQ5xzqMXSgxcY/GlrmthVznHbDanbhryXsHZc2cZj8ds7uyiIuDxr8v5ujlwKgFmVeD9WT+kVtLFbrF7UXe5moo5oGcxn5OowPHBAU1VM5tMUVozGo/5+Gc+S4vi5Z/+lDdff10AX9MTI08iIcp7jFZClsgz0sQAhiSyT40WCZXZbA6RCGGMXRZ3o5RwJClp6Qw0hqBWkgAy5CTWS6IO+fr96jp3up/X117f+QfE17deJFRK19LUtUi9VRVt66gWtXgHRTDRWIN2nl5RMF0ssNZK7hHjc5sky88WgFtz7sJ5ds7scjydUtUtv/5bv8XuhfP8yR/+Pq+89DI3rr/DuMiwStrb7968iQue2zdv8MCFc9SzGb4qKfKMyw8+yHA44EfP/kBMwqwU1fpFjkKM7PI0Ey3k6JfQNg1pmpBnK8mIuq4p8pw8z5fAtjCIi7hmObIskdjMi65wJ4G2vk63rj2t66vVsruCtXzBGEM5L1emgFqRJpaD6ZQsLXAh0NQtrQsoYzFIJ3GeF7G4IN0Hi7ZlMp3wK1/+IlVVorRBdcCw0u9h/r8fyaUbDx+Uo/wsHwqNV47pfMLR3j57115jlGUkOiHRgbxIscaRbw4xSjE5PqKpFgStcEp0qNum5NIjD1FXMzbTXarFHJsXnLtwgWAVn/213+An3/k2V1/6CYvpgr/37/6HHB8d8pPvfIMXf/Qs1jv6/R5pnlPkBUXRo+j3cEG6UnY2t8lNwmw+Z9FUpKFHaBpqJ2tlrz8g6Y2YTo/w8xk6NEwnJ9SLGlLLRz71OTYeuMRwOOLVV19neP4s//SL/ye++gf/klsv/pjcahZe8bGHrgCBpimZHh3wo7/6Kw7eeYPJ8T4vv3GNL/3WP+Irv/0Pefftt/jeH/4+SUxPF9ZjQ73M7cY727Su5Wt/8qf8xj/5d9AJDAdDfvS1P+fGT7/P3tVXOPvokzz8+EfZ2tklKC3d6yuqnhzrfJe1x6X4oZZ5jzUJGOlK/sinPsd8OiHPc1kHqxnV9AStLTotMU2GTVKStMdsekRbV7RVJTGLklglzzKy3iDqsUvBJ/gWZXJCkmKUwtgRyvdIO5zRe5Q2Mh5cRdO25NrinRRufVtFPAts1sPYFEeJ0gme2MERuo5JEz1XuvJqPLyS1zQVi+mUtp6tCvbBg7LYokdSDLBpIT5e9zUevR/p7G9z/K00h9ePVcVefg/Lmx2TSbeqRoUQv7iTFpQ2mhTleUbbGKxWItNgYluMjuwBHwhao5cXYcUu7QJDWYQtSSKLeHeebdsSgokLekuaxfZV16LjjVZ42rYhR5I+bcAomB4ecXx8xM6FC5zs3SWpWxGz1sJgsVZjVQqqpW4cVSnSBZ2p3mJe4rznW1/7Os57rDEc7R+wWCzoFyltVWOdJU2t6Ag1ATJJ1Ls2HmMMWarBSxXTu4BNwFiFblRkg0CaJpSlxUVdJ2tF8ypNkgiqKZGrQ1HVFUkaInvJU6gB06Mjzly4wHj7LG1VcvfmdZIspdefSqBjxBlTqsMNdVnJZlkUTKJmq02MmFKlUhHXSnR/jVkB9iyBYeKGKgNmaQ24VkGW8XQagNOIuL/3Mlk8UZu4E+7WonndBSaSDHQBT3zMrRkc+sBsMuHi9mV2zj9A2hvGc4x1LNW5gK/OZ5XEfEgS1Pc5AoHBcMjXvv4Nvvr1b/Krv/wVnv7kMxBb5t73m0WyIii2draZTCaksT0u9enS2CCEwMbmJvv37kWGeBBGb2xzq+ua3DmathHXwCDSB23wbJ87y96dO+TDgTzlHHUsPBjd6fxpjJW1oapK2lpML7I8p9/v4YPoj9V1TROZS1VVMTuZMJ/OqKuKLEvZ2hwz6PfEdC3q+CaZzMf1qj7cx8y6b0zef3Rr4v3mP+v/Li/p2u//ukU9yzJ2d3clySsb9vfukRVZZFxZXONonKesKqrICGrahr39fVkjnazHB/uHtG1LPaskWXBiOKNQKKtIU0uaJDgXNY0SKSjZLEUH0ThM0xRr7BLoF4AgxIDYLiUIrLWYaHyntabX60lS4j2LuqaeTplPZzzziU+xd/sm1hrIMlotQH9XAEqsnE8b9w2UwuRGAG6tRNsrsUsDI2MtaV6IrhT3b5p8eAHi++aljmDxcDQUM6u2RUWGl1pj93WmOt5L8mNtsgYOe3FzDnEshGjc4B3etWtSECvw6f20YNeBKR+k6h0E/cA1YqiBTlDKgVacOXee69eu41tJEne3xqt1vw0oHRgPCjJrqcuKw9mcu/sHZHmBNgmzec3BZMH5S2e4cPEyDzz0KC/86LvcunYVXTe4suEzX/513nrhpxzduYdLoMYyOnuBz//6byyZVR90neG9c34pe2E02gV+8s1v8cYLP2Ln/AU++fkvMNg9DyFw5603SX1g98FHaULg9jtX2Tl/gRuvv8Y7169z5cplAbDqCq9g3rTYNOVwPmdRlwxHG+zfuMGDDz8OaM4+/BBOKX7tN/4ef/qvfp8//cN/xUOXLnP3+jXevXadK088xiAfCNs7gO31mZ4ckWtDErsAQggcn5xQVS1aW4oiZZxtQtZj+8w5vvKP/ykvPfsN/ux/+D0Wh/vYxx8hHwxQGNI0w2oB1y4/9CDewMLPYeL56Q+fY9F4zj/8JL3+eBn80jk7B9jd3Y3AoZdYxFi+8m/9Nkd377B15hyL2RST5ug0PxUo37/nwlrXmPpwzGO19v/14/7kO4C0mbal+CcI0QVrLN5L140UVz2+ackSaaXujqVJ0H3FGuc8h/v7nBuKOZJ4NQgo0LHBlOrYgmFZwOsOGwkEwLKrTWLtjoEM1iY0raN2DW3TCDvVhyVbFQLOiL69swkuOFJjVmz9eA2MWRWcukJyl1t0zObuvJumWYLb66xIaYGH4BVl2dDvF3glXQsBRRtlLJTW5HF/MvGaZFlOHXMSYCnxkmUd63nVOh5CoIkFLxP3HUWgLhc0rZj5ubqmnM3IRxtr5AU5ROU0gHM0lRS6pOOmhRAwSUJS9Oj1h5gkXZnXAIQOWOrGlgTTSdHnzOWHGGyf4WTvJnZ6TDqf0RsvmB4ec3JwxGIhf8s1DW2swkrx1tDUbZQrkHtX1zXlopIW5Txj98JZNnfPsnH2Ir3hNi5IMadjQ94f18g5qlVSqCSm/jAf3TVfTd91JWKW8gmh12c6nXHn3h6vv3WVM+fOc+nKFX7+F3+Rn/7kOe7cuB6BBAHr8yLHtdJBlSdiVta0Da6FYrDqeFp1wkYGvdHRNFsJm21NVmKVm5+WkYAVAKhUBJFZxafyPdeKcnF8dXOwburY4BFAaTyapnG0WBaxNXu6mNM0LfOyBjS9/oCyajBliTGG4XAYC8Utg+GIu3f3lrl88IGD/QNu3rpFbzjgykMP8Wd/9AfcuHGDqqowWrM5yAmt5KNGyXy68vBD/Dv//J/zP/ze73H72nVMmlBWFd/7znewacrWeBNViJZ5ZhOKIifPMryTVu40lSJ224g/RZ6LSaRS8h7pGAiE4ESGzlh88DRthdaQF9ly/nZeGR0bWzyAWI6UznCzbVthNcbHFKzMm9s25kby3slkitaWJBEAuq4aZouSRVlJwdoH0sSSphnGptRtg6tKfu4LX6RuHNpaWufY2NwSORv/3oLl/bFdR/hYHzf3dzb+rB8ypDVt23B37y7zyhGaisQ0ZHVD3VQUWUo6UuS9Abfv7DEa5NgmkQJclnNyeIApBoTFgs3tLXaufBKSjNtXX+fGqy+TDzc5f/khnhn+Eq/8+Fn+8g/+e/7uP/33+PgvfpFrb77GUIufR9N4gm4p3ZyjyYRxr8dgNACr2NrdYrMdS6GyrnB1AOXI6pbF5JjFbEYx3uCdvZrFyRw3L/Em5/Bwnz/5b/4zEqUZnDnL05/7RRbTGT/65g2+8g9+hz8N8MZzP+ALv/mbfPpXvkJT1vyr//I/R9cnpHXFqJeyOXqAYrjJvWtv8eyf/iFnLj3AA5cv46sZIYjZq/cNIEXEpimZvfMGrUvEeDqxaOWop4ecGQ25cvkBbt26zp/96Ac8/snP8cwvfJHghXTVyYgt87K/jvba1VPj2mtsymC8FYvFkPYSsmKIayqq2ZRqegxmik5Tkl5BW5W46MvjiXmpNqRZhs4LTJrgcASd0npFVgzwTYVrGyEHBolKdYxltDVkqo9txUMh0kIJromnGrtWJThaSkj5iJ0Zm4J3y89dfs1I0PLljPnRHt63aBs9oKLUrE5ydDrA5AUoYaGj1Adx2f5nYVR/K+bw+ibSsUOIbQkhCHD3njYqoecsK/x1XVNXNU1VRxd1Tx3p1zqxFEXOfD6PlQWp9K23NXTsxPWEVYKr079LK1xLF0S6CDiExi03Vt/UFL0eaZbRzh0Wg7Yp1eyYl196mccef5IbV6/jEmHE9PoFBEdZCUvNeS1Mj6ql9QJetCFwUlX0shzXeBG2N5rQtORJGltOFHXd0DStmHH0hjil0Hi6uF8pRQI0epWgKiUtSVXdxg1IkyQpRZHTtaOsVzu7jaoT/kYpggfjPG1dR53VlIO799jaPUfe63PxwUe4feMdAgL6WhNwTYMJEJqWe809mkaqnVIJbsiiUH5dNdRpC5kkIW1MJnQXH3ZjgthmoXU3QE5Vp9eB2FPjjW7ICVO7M1CRNmS1ZJQv/+uq0nGj64wZjBaTl/5gwJnz8r1VDPxW53nf3/2QAsJyLSJYqcVJNMkytjc3qK+/wws//D6PfuRJclt88IcoaH3D7evv8L2vfR3alqpZUPsC34B3LUVRoLXm8OCAthU9v7qWJLFrTdVrhgaCQwU8ijQrGA4KhqMRJweHuNaxmC9I0sB8NhMx+Lal6BVoa5nP5xhrRH/WS4W1LsX1vGlr6qrCe8f0ZEo5r4SpbwzjjSGj8XAJXm5ubhA0qESRFTnWrtgCq2u3uv/rwdH7tVHez8boXrcugXP/uH6/958CkxUMxgMuXD6PUnDz3ZvMJjMO5ovoUC5s+KZuxR06ggnadA6mXflFklSbiCZw2zSyHjgfWf8rtgN48qIQYN8aTHRVHwwGEixEwLEuhSFsraaqmiX4YK10FhSZsC3yvKBtG/k7ecZssSC1ltvvXufk8IDMGnpZQWtaVPAsIpvCx++hrSUYjc1T8l5BPuihoga5SiRRStMUnVmGm2OMTYRxpQMQjRjXQPsPy9GBR+pUYq2W83mxWFBkOSasdIBNbB/VOkEBrQurCjzh1HXwSoOxKKtItMZHHWnRh3WxBe20Ntb9SYL30rq3zgDywUVJARNb1xNCGkicwzcNl8/ucnB4zLxsODqesDEO0cTV4EODczWJzVBFxoYas79/yGJR0d/YJO/lbNQ96sldXvjqH5FtnuUXv/x3MVnGC89+lxeef56kP+ZX//G/ywvf/zZVVfLpn/ssDz35EYzJ3vf+L4vcsQAmyfvp+amNwrUVR4cnPPHUk5T773L3+qv82X/9OpeffIZLjzzJ0d5ttNWMN89QlVPeOTrC2ZyqXBBQksz5Vhi2IVCXJaVXbF18kL1rbzE9eockyTjZu0dmNJceeZgnnvkMR3f3uPrCT0hUzdVXXyEvCo4PDrl97R02drZoAFfXPPbRjzCZTsizVLRRkYD4/Plz4h7v2qhJbmic4/mv/jGZ1Zy8e4PGNTzyic9wuH9MWk2ZHi84d/EceT8HYwgB6kXJ9bevspiXeJPw5V//de6+c53y9dd47CPPkOa97iIK2xH51XuHqxp0Ytk6d4Ht8xdQwOGdd7nz+ss8/PTHsPkQMU59/zV1+XNYhgw/00foWB9/7XoTcE0VGYQScyUmR3lP0wi4EEKgjKZXw34uBfH7QGbWrlPTNjzx+GO8+INDTJSIuF8HvzuWRdAOzu6K50GkadblIzryxvo6Kvp9Ctd6YStG5qCOsd2yKG/kPEzotG1X378DU7rvsgSLQsD7OnaprfTPl2Cw6rrpLKF1VLEdvG5qSZyUSJGVtRSjQ/x+xojPQJIkS3PnLlbpnu++t+xvK51Q7wOq9UuT6zzLaOqaqiqX90oRWMxOKIZDJO5erSehLjk5uMfJvXsc799hsZhTliXOtRKXGoPNcvrDMYPRBhcffwqbpPE+rgN96+XPAMqQD8YUgxGuqZhPjji6dxebH5APhixmE+YnU+YnJ8xmU+qmZjabCXtYm1NgVtM0S/brhQcucvbiRVSS4TEc3L3Lxu4u2maRQMFy3NyfI66P8e50T3la/Cwf98f9H7DorM/u+WJBtagIAQaDIV4Z3n33Bi+/8jLWWnZ2triwvUVmpPiiYdk6TJCcrWdz+kWG82LklEdN6PU5LEVgketKs0zGdhA5RqvMqXF8igkc5CYsu9ZiDr++JpxaVwixrVnyb2sMjWvo9fscHBxRNS2HRxM8UmCZHp3QeoULGqUTHn70Md65fn25HgzynCoCnltbW4w3ttjbuyddX7Eg07aN+IYozdtvvUnbNvRSTWEzITeZBJ1K16pThnvHx/zCF7/Ao089wcl8is0sOEee5dQ4kjTHpgVZ2iM1miLPSRMLQboKXNtgjSbJU1QopNtuacwpHQLOtRFDcGg0TRAd9SzLltcyTW0sZiXL9QlYrms2SQh6dS1FnmsFxHfAcOddZKylKptl0U5qeA7XOqq6XupF12uSe8550phsn794gWc++Sl+8KMf89W/+iquren1+kuC1r9+6IdT32FdkujDcsg6LPOiiDI4F65coTqW9a8qa+ZVxaDIca3n1r199tvA5QcfYXHvLsp7iiSLhXbL8b0Fb7/1BkeLBVsbfW698hJZ0+BPDrnxyoIsKdjYGjO9d5M/+a/+H2yeOc+ZXkFmNHqrh3MtLkr9ea25dfsWG/WI8eY22hvJ3bznZDrno7/0RZ7/+l+Rp6mQ89qaO3cafuU3/ykvv/QS3/2rP+WBy1tsFgXZzgibZVA73vrxD7j44INMb13j9/+L/xu/8Hf+AZ/6/Jd4+PEnsDqjqQ85uHGVnb7B9Hr0ts6Q9/qMdj2Lk0NObrzFwe3bjHa2cP0+s4M9Um3J0oyyrDDW4pqaRMNgOIreNi1VWfL4xz7D7atvMbxwhWzjDGla8NNv/08UgwFPf+pzaM0S+1rmMx80nta3uO4h1ZH2TpMIgrLozJCnBdlok7aa48oF9fyYaj7DNwLMqhhnaGMwuRgGhjZQtQ3ZcADe0dRBuk+TLI6hKEcVIlkwrqHWrs5tWUZTgmk55zFZJt2ueYGvZ7SNkNW0zZfGtCF2swvuHPCuZjE5Bu+FHdzfxKQZyqYE16CVwdhMJACVRpkk5vf3xYHr4/9vOV//Z2sOS0DqIwsgBmKoDzhBuai+aWmrmPTH5+u2EQZxLaDFfD4XZoDRhDX2cReUdkloV31cgoORWZjEtqWOXShsKTGl6vSzhGEMaSI33CQJBNFitSiuPPQgb799jeP9AzbGmxzt78m5lTVJIkj+ZF7Fyqmn9X55i9I855//zu/wB//tf0+omggO2+UiX7WijWyMpW5aqrqiqht6m0MGmaWaz4SVoA0OCZRbv3Jr1tGFuarqyGioSZJ0aQbVBdfGGDHmSRLqKGCfpCl1Lde76Peo5wvm0eDg8PYtds5fJM17XHjoYQ7v3ebw1k2MgrIsscpQlxXT6ZRFOY/gcBqB4pbEJjR1y6KscEocXbXcPNCnJzRIUqHVytRiPeC/HyReZ7B1/wYfAxtEmqJp3bIS1b2+bSTwaptmCVY2dS0MydZRDIZsnz+PSdMPBA3+l6Dp///yWIHlPgKynrevXuPTn/s5nm1a9g8PaZqajIKll/n7xsGKV197jeOTCdpaSQLbBmsTsixbBqLGCPDR1DXlQowcdWzN7IKpEAJplqG0wQSL1YaDvXtMJ1Nw0CtkM02ShCLPqJWi6BWiudvWy0C3bR3lYiFjxAmzQZKtBWW5oF5UGC1MgNF4SL/fI0klIcxyacVOs5Qs785NQJBOg2v5zT8AuH0/pnv3mg9inN/PFr5/TN3/PmFWGTY3NymynOFwwL29fY6PjsWEpqpwsxkoTwguBpwCKIrBj7iZdn9bCmae/qAnsjh0ZpECpBKkU2CxmIvJW1yLqqpaOqSfutdrbDVrzZLB0rX+SIFKgmytxGwkzRKK/gBrDMPhAF8Jm3md5RKCtPOgFEmWkWYpvX4fFZkXJrGxYyQlS+XvpHmP3mAEy6RVzDGX60G7auv7MByr8bIeJRHZPDJbm7aJGogCGst+bFBGdOutglZpMYJpG5KsIFiLaytU3aKDSLX4OoC2y/nf+oB0/BCTyDUplK4uHAIqgPMCXpmYkLom0PogYJfRgCFJc7wH7ybo3DIaFhydTJiTwfGMsQ/YNMFmKaBwbYk2GUWWcHZ7RF3WtPMT+ltb9HbPyNrSh2ox5Zt/8C/42Je+wuf/zm/xC1/5ewKMKsXlxx4TkDIGdiuw/b5ijkLa3ZWYCS0ZYd7jEZOIu7ducevqNa799DmeeOZjjC9eovEtbV2z99bLvP3c97lz8xaPPvUUN95+mf5oC+090+M9bh8e8+iTT7Joa0zwHOwfsrW7S24TJof73Dy4SxskqR70cgbjTUYXHuSxj3yccjbhz3/vvyDTLZevPMLJyYTJouLsww9xfOcWw40x3/veD3ji0cvcuvYWdSumuUWe0bY1SjmM0RTjHKU0rqpwLpBYA9URvk1xruLg5g101TAajTkJjq3tHQ6OT3j40UdFK69peeuVnzBflNjRmC/9g3/C9PCQ7/zZH6MNjPsZwzMXSLMCHzx/9cd/xJWHHuShxx7m5OiQXt5Hp6Kdqm0qetYEbr32EpcfeRSTDd/DCF5fA1frL3zABvWzd3xAuHD/XiLSSR4NbI5HLGZzMdEJwvafL0oCnbzCSsanO7p5aY0lSQJ5mvDWiy/Qt4bEmmXBc51VeP97O+1PE/VvCeKCLnq/RGByFasJkI8Ub70Y3bngUB0hQGuSVLo6AtDUFWnRw7U+GmlBuK/1uvtO3Tl18bqQHqLusV4ZxnbM5rKuKYYbLMoGVVfkeSomcHHpzNJUQJ+mgTyTtcwYUmOEnNF68iKXWNJFffVO5iHKZkjMgTB/vOytLnazJEkiXUqltNcb76nLKmoC6kgv8pwc7HHvnbe58+4NDu7cYTYR/UjnZR+2SQIhkCYZSgl5Ye/da2xsblL0+wx2zjHaPkNa9FBKin3dGFNRhkkYVjnDzXMMNs9QzgUQPtm7SXl8TD2ZMJkcMZ/NJC5elLRNK5o5SpH1E7KiYLi5yXBzi61zZ0FZTg4PufnOcyyc4+e/9GWKwYYAk2ql3/5BMXT3rxCKPiTgMPBelCKcmtPKR9A7yLjJ0pzgoCwlD0usYTQYUOQ5dVMzn82461p6qWFjPCIxRkhBKlAHaT9vmhpt1vIRJYX4DiAGRDoiAh2daZw2BotZAmKrnCl0vCAZ12ptXWWVU93PHO7WJtdpISeWQMBimC9KBuMNhknKg48NSWzCT3/6U9E0rWqCVuzsnmF7e4sf/+iHFHmPIksp61ZIOf0+IQTefutNijzD+xBlAB0mTUAFjFL4AEmWSsexViRWPAiqRUVA403CrKm5eOkBgoKsSBnnZ3jgwjnOXzjP+UuX2T5zFudgun/Iqy/8hKOjQynQWitSNN7F3NORp8IY1njxOMjTNZmbON/iOtwRr5RStG2DUoY0Teh6A7prmSQJ440NmrZhejJZ5rnOe9SaOVbHJi7LEqW0dDWgqCsxnNQ6iXl/K9qpxG4aJeSvvMgpioLBcETS69EbjUELgeCVV17hk5/4WDRhdwS9KnZ1ANX9eQes7Q0hnBpTH4ajyxF1COCgqiuO796mCJphkuCRDvbJ8QnTkwm9nR3+2X/8n3DhwmV++M0/58bLL5MYKHoFR3dvU9YN1ckRswDzd2oSH0TWT3lsokn7GSbZRflAOT3k2Z+8wEMPnMdkBb3NbapyjtWa4Byz6Ql6PGbv3gEhaIa9PkmaUbqW1gfOPfwYz3/9G7SuJQspOnj8yRF/9i/+n5x58BE++wufwSrD/GCfx7/4JaqZp50e0xtcRzlP3t8gm93kL3/vP+fTX/l7aP00AEmv4OLTT3Pwxqu4kylJfkxiFM57kjxjlGyxOJly/O7bhDTj0Y9/mrdf/Kl0zyeKrQsPoNMElebsPv4krW/5ydf/imtvvskv/73fZGPjUxzceQdXlZzb3aGaP8CP/+KP2drZIR9tUZcVZ8+dR5mod/1BN68bj/e94D2vX9ZHIwZpUrJeAr0xxcYuIRZTmsVE5EJiUd1ay+HBPb76+3/E+MIDfP5XvkKW5yS5xTc+7tlK4oS4TkruaJcysq7zckGkWkJw6Nhlr5V0kmAS8t6A2ckx7WKKNQabDUTej0i0CTJOm3JOaBuK4RZqY5d8tIkyBqU0TbnAtw5jEzGPVBql3wvh3l+Y/dsCxH8rcHj5RxE2iNaroGmlxtRBTKdPqgN2m1bawlwrmkODLKNczNFRx1bA3w4URmQXoitql+DVTbPGHHYEfAQ6oK5XbRpisCTJoVIi3i8taSk+eFoPODg6PqZuamxiqMop716dMi56HN69Rb83oM5zWu8omxa0wVhEezCIcY4PjqLfi8wGz2s/fQHlW7SVTbwNEnA2wZOm2Qrk9sL4uPPuDXrpRRKfY2OwDBKQZ1lKM5+LVm5k0iVJgo3t1KL/KwOhiQYUHSgsoNACaxIx80oqAcGsRlXS2upnssFZbTi6d48zDzxAMIbNM2dRLjA73mdc1xy290gjwDedTajrOgax0jbh0kzubWMxaRKvjV6anql4Q2XSq1PU+m4QrzNGusdXDJJVYUCqggJCtj6akIR1J12/1HFq6hoXgeO2EV252WRKYiznLj1A2is6jjD3Lz/rQdKHERiGzuRF8B0fk5UrjzzChQfO88CVyyhjKbJCJFyW6/F7v6vWhi/9ypd57JHH+cPf+//gyil1WZNlOVqvdORcKy6gWZJilEYFMZjr5mSIgbQ2hrJpOH/+ArPjEw7375BnogU2OT4CAouYwCzNyWLrlrTkyXdqmkYYeItyqf3Xad4Wec54vEGvV1AUuWhi57kw4lPRrk0jsCitrSstY1gFzOua38ASGO5+Xgcx7m/Fuh8UPmUQ8j6FkHWmx/r4s9bSH0qisbOzw+RkyvHxMfO56I13Bj9t2ywZVgLk2lg0S4HI+gwSLIm8ikcFCXBXc0yE9VvvmC8W1I183sHBAcPhkCzLluc23tykqqo1TcqVu32WZSSpmBQZrTHGLnXWysWMo6MDVIhMmLBqR5YW4rBMvrUTrUibWHQi4EVi7JIxkaYpQWuSrIcyaWwfFuCya7Xu1pcP3xGry/flqUnWp24Dvqkw2sTkJF2O3dYJ0yd42ZOdFwBqOp8wOnOOhQdVz9HtTJI/rdHUtM7R1DKPmrYlS3O533otYVjLEaRTp8F5R5bnYoLkPbbXp5rNoixMt6oIUNlWLb08xbuMg8khw4tXOJ5NGLiFsNID5GkqSbGSJMj2orFUXdMGRTocoxXkI4U9PuK5r/45CsOVpz5OWBYd9amlrNs7zJokVohIcFjuR/L3Q9Ny9Y0XuXPrHZp5yY3X3+DVF5/naFLS395ka2PI+QcepG09+8aigFdefJGD/X129u+hEW+Cer7g3IVz7J7b5Xh/j9DUHN07YNAf0hsO6Q9HtN5DmjA9OGR6fIS6eJHPfeXXqCYLfv///Z9xePMGF85f5MzFS1x8tKBpHW9fe5tmPqNdzNne2uFkumCcFlC3ZL1UDPJ8G3WoNc4HppNjTGApReNw9LMevX4fay1lWfL4Y49x8913uf3uTXbOnyffOs/h7VvcePVFFlXNziMP8Ylf/FVsmvO1//Ff0lYzPvtLXyArctrZEV/7g39F2VQ0k2MObcMoDWR5j1s33uEnL7/KF/7uP2DngQfxbcvtGzdQiWgkflDyecpAqZsIH4a9WHUSYfwbMLVkPzNK01QVidF4Dd4LkLAoa5oQ2BiNcXWFiYQH4FSxS6uANZqN8UCkxYp+LJpl72Hdrr+vk5gQAEpLotMxZ5OVSSuwpvMr8/7kZEK/31+CtcaI3FDnSxGCsA+NUrGYbGlCNHFcA/7XO8e6PKBj4iZJInrAWoqLrnV4wCAd0kEZ7ty5K6xZL/I1so8K+1kFBz4WyBDpmo5ZCQaTypgKvpP1WMXt64C6cw6FdIyGLvaPkhCLRRklNxSgyfIendmix1NOTnjnlZe4+sarnBweSpebW2eAr+UwlUjutK7F+YZmekx/MGB6dMD+uwVJ3mO8fY7xzlmSokeI61zXYqpQBCUxcq8/puiN2TizS7OYMTs6ZHJ4G1eVNGVNVVf4Vs7FI9c6G44Zbe3S39yiN94ANOViRluVLMqa0dYZjg/2UKGPKYZx7Kn3iaDXp4MULfWHCRyO11O+m8glyf2ULNfX0lGZaEtiMipXk+Y9msZhtcYqRRvHMa4lT6yQe7IcZSwuBIzVgCdoFY1dxSfCWJH5giAsYQNo+blxDVVbkaucVGdSAHceo2TuKtF5i3GQYvPsOY4PRYNTEZYAsY/F987Mbrk3qs7MV7qAjFIEJ5rAqITeMGdeN5THE6698gaz2RRtNcYHenkCKqWuF3zn299kPBqhgyE4zyhPcQoOJsekecagV+CbFk+gDYEGHxmxgX7RJzWWxFqZD1qTpibGl7mwpY1l2jZsb++wmM4Y9grS4JkdHfDa/l1uXH2bqm6ZHk1IjCHPLFkkGiSpyPM0SoglKIWyBmMSMtNDISx3WTdVJCIkWGtoWxe7D7uuXi0xs5dxPhqNl8b1SZJwdHhI6x0myvikaSq5qJMOOWPNsvO4M55u64ZEabRN8NpQ1q0whauSpmmWpuoBOe9ZNafo9ZlXDYONjMtPPYnOEn7p87/A7HCP3TO7ojMePFolEs8pWce6Qt+6TvJ67gGnCS8/64eCZewvcb/h/Nmz1Ht3GKS5sLjxyzXLOfFi+vGf/xnHH/0Ivf6Ic1ce5c6bL5MXOWXd0FrL8dERRZGSGoMyLP1vrFXUdUlmehSjDQwNiQo8/8JPeeYzn2aUprimxrkGCIw2NxmOx6RpwvUb7zApeuzunsVkGd55XNOQphkEh3eBxChGwx6mcpSHdzD9Hm1/zFOf+yXeePkVZu/ewvtGdK+DxgUYjkYoPeH7f/4HjLd3eOiJj/Ljb36V+c132djcpgw1+8dHBB8YjkYEI0bCg80Nin7ByeEBz3/rm7Qobl19m488+iCJTalaxdkHHuTiQw9zsn+HW6+9xKZVvPHDr2GNGKHmeY9+f0CCwtc1r7/wPMcH+0yOj/m7/+SfMTpzhtTm9xX8Tx/vR8pbcjnWgOMVhuS7J+XztAC32kCa5SzzKHk1kwa++Nv/iN1zF8iLPkcHe/iyRRW2w39F7iG+SSuNiRusD9C4BmMk/jLWRt1yWSeCD0I0sxZNn6RoqabHLKbH9LVBpTmtEj8Cjye0FfXiGGUNdrxDsnEGpUwscCuSpEdIpJPBtw6jbPel/9q58Lcp6PyNsuTlTZTfQCmcqzHKooIV9FvFLEuFUzoYXdLlQ0vrhLnpnQg8i1aXgIxpntE2VdzcBHyWtjZZpJPMUJc1TduS5AWjzW1uvP0mmdWkecpsOsMoQ+vXz1cRgiMEAVrb2F5mrMJ7YdG1dSBLUwqbC0vCK3q9HmlhKZwD33L+/DaT2YSAxrlAlklFcTaXhTrPc6m+B1m8X3nxRUm2tYBjXYVOTGxWVeEksdR1wLfCGtFGyXWJ+mk+eHRQJKm01flAFMzWpHGjEoAHdJpirWU6mdG0LVXZLAP8MrbBdL83dc1wPGRDb+Dj71VVofSUyfE+w81twDLe3qGcT8kL0fZMInPQu0BVNmS5Iygx4tPaxDakVjRYWkPAEoxUOnyshoLcz/djCa+bdJ0CgteANUkSVg7xrXNxYxOXbAG45Oe2aWmqOpoEyr/zsuLo8AirFBdb0Vez1QKrRNNGTuc0W+/+TfHDVEFdZ42GAArNxUuX0EYxGAxp5gtefO55skGfJ558EmXWvvs6OwmFShIeuHKFj37iEzz7tb8i2ZCWE2NMLMT4aIaVkRiLjQloxzTt5CUAYSvnBc45ZsfH9NKMpq7kvrVODB8baVmpypIQiC2Qivl8hnctZVmJZl8txSM5D8vmxgajkchHSLtaJoZzWUqaSbJsE5GW6DRIddQfXK5yS+aFP6Xhdv+mtT4+72cRf1BAdX8l/n5w+f0+B5CAxhqG4yG9fp+d3S0W5YK2cSwWYr7X1I2AddFIRKnT7BCtVxqOzrmu0idGn96JAUmQ1uDWe0ZuyMnxjLpqKMsS7z15nq9MKReLU/e4O7IsF423PFkCz0ki7C+lFd45ilTcc13jqGvRii7LMrbsSvKeFwXaiHZ80estGcM6Fpi01mR5hs4yRhvbaJOL+QoBQqxPr7FlPiwBbne831KjUNg0Z/f8A8wP9sjzLDLEo75wWBXalNiLo7QRibvgObpzG5MNGG6d5d2rb9HTAatjQIOmblpO5tJeXFSyD6e9bDkeRct6VazTWtHPM5k/RuPbhnp6Qmo0vqloYrFBXg/KNwQP/bxAebhz4xoXH3kU7xtu3d3j7p07fOYTH4sFIUm0vVIErTFJgS0GgGd+Iut4nmaM05Lnv/HnDEdjdh648r4RZ2fOs1raZa3rGD7xN6bHh/zlv/pvmd98myw1tErRT3OefOJJWpvx9ptvciNUXHngAkmSEdqa4aDPo48+yt27eySvv8708IiNXp+qmjNIU2ZHhwLMtp7GtdKGj5bvYhKe/uxneem732Vy8CKz6Qzftnzjz/6YoxtX2R5voo3i5PgevTLl7rvvMjs4wGQpTbPgox95kpPZsSSswZOnCU1bC8hlLfOyYjqfMz2ZUM3mGG0Ybu0wKRvmk312z53hV7/ya2iTMtrY5MKTT6PSnGwwYvfBhyjGI95463X6wxGzowk/efb7PPOZn2c+m7LRL0isYXZ0D982zO7dRieGVHt2tjZQbc3Nt27y4gsvMG8dLz/3Q54IgV5vyHe++lV++dd+mbwvutPhvoLZB3VV/LVadT8jx/rUfb+Ee3l4L7p0bUNiNa3z6MASIExsIuBD25CYzh2bU/uOFBDX9utOo3StaLdefBTZNbcqfC7ZbsIQTmM3Vadzuh6PCRGhZjZbMBgMaNtmyWzL1sDkTv5NKZG0Ut6hEQPCta1i+druWNf+7XQ3k8iq1SgwnaleoEW0OQdWcffGNba2N0XDXkUAb1lsjfdAa6wxIlcUY3Sx5FAoRGdZIWZRVgnBYgmkrd3Lto17SSx2VlXNaGO8ZNL2x0OCVMNp6jm3rr3OjatviuxWNO7TaqURCytmNvHvNXXD5GRC2zSUiwW9mchp2cRy8O510v6I7QsPMNo5S384kg5IldA5Z8gRGVA2Ix9m5MNNNi5extUV5eSE44M71LMZTVnTtBWXnvwoo+0zaJ3GNVS6R4xJYQgbMfbO8oz92zc4e+khMCkh6BXx4wOAYgWnYvyf5WP9+i3jtCUFSuKL4D3eeVoXDYZCoIndrB0ZIrGWqqtChpVeujGGPE3I0gSiQXaSJLSuiazSmOvYlaTEsi3a2qWs3/1SPJ3me1dkP3v+IpOyYnIyoShyCG0kO5+WUAlB/Dq897FjTMwdV8URj28dTVuzmE4FrGyl66yX5yyqEhCpQ5RiNj/BpikqKFwt/kHGJizKOb3hgKCke7BelDJEXQNesbm1zeNPPEFiE954+RVhUg/6+NYtO9NsYmhcS+vhzNYm2xtjvvWNr9OUC8nls4wQDK6pyJOE/s4mrmlJrUFZMcHEO2ItBpvaqB0shnPLOAGWXZFtK9eijXlGxzbuwFRrk+XaeO/evWXuMZ2KdmtnLgfSpSSmj9FwPeY23Xqc2ISmaoVsBTRty+bWJrPZgkXZUNdNfK2wHDNrhThhDU3r+OSnPsWjjzyyNHMejcacPX9e2M9B4fBoVoajITI1Owm8dYkfWM3ZD0vXnUbF7hQpcrSuYXawj1FC6qvbSva5uEemeUYx7NFzNVe/+3XqfMhHf/6XuP7aC/TTBAYD2vaIqqo4OZ5w7uwuqIA1oPEoHHneo3UVxmpM2uPJJx7n2R/+mO9/7wd8/JMt58/topVFBSkCaq3Y2toi7/d49ZVXaW7e4tzFi6TGsH/nFklqUaqV0mLQuKDpD3topUnwJJnmxWe/i1/M0M1CAM22IQS7xNdG4y0g8IO/+jOMb3nj2W+wOUiwWpE5xUnQHBweooDxxhhjY1e9tmxsbRGaPebpgC/+g9/h7R9+E3vnFoPBkNuvv8Z3v/k9PvLJZ0iMpj8cEpyPc0ODd7zz1lvs3b1LurFLvz/g1k9/xGA05ODOTQbjMeE+ibewxMm63/9mhLz1175X3jbuY91DHi6euyzLuEw/NrZ28MFhbRYrC5I/hhCo64q9e3fQKjDe2JLigvOgPfhGOqAT0R33QaEjuxebEFCkvREqeKrZMYuTffLxNsrmEmuElnZ+hK+nqMEuyWiH0NZU80ksHrWkaY+iP4xES73s4rofq/hfCpf6G4HDy4BWgVLSpqyVEbc+LQHbsmHzfc4vINe7qYVh1Ebgd75YkKYp/cGAuumcBePrlVRUtdYEE+J7PQpNtWg489QFrl+7RllVbI83aFrPbDojBB2ZCrJJpWlkTQS1BHXFcRTZbCxYDf1+zmw6w1pN29b4hTDosjTBJorN8ZCqaSnbNrbUewbDIdYmoscSxf0Tm6CdQwUlbUeR+bQuh7FciNfahXxsmZPNlci4EradI1DXbQRGLSoRc6gkyUiTQF07lAUdNPlowPTOHjZW6Lvgum1VZGBI9UprERjvBPKrxZwsS5kcHtIbjDEmxdgMm+ZkeU6Wi/5NlzR0G1mv1wNkc0swuNZTlw2JTUQaI1ZljVkBbevt+OsszO4arYPB3e+nDOacI7gQnbnFBdu1PoLDApB4L8HOfL4gBGn1quua6cmEsizZ2d7GmATXtBiJlqQFS86KDjRYjuH7QMAPD8i0dt5xjhqdCKtMa3ppwv/w//kX/M7v/u7qLbEwt1prVgBbUHB0eEiiLUVvgE0SrNVLbT7nNMqLhuhwOBTt4KiXp41Gx3b3k8mUy1s7HNy9i1aKul4IoOk8ddMyn8xEe3ixYDabUcbWWhNbpaqqhFj0sdaQZSkbG2OKXkGWZ+S9HALSLpJoksTS6xfCEo5FFaXFEfr9FtX1BddYe8qg6/7X3Z+kdz/f/1j3+yk9rzj37weHu4R+/b1aaYKO9zAxaKuxaYLznuE4amz76GDeumU1VZJtdYqF52Ni4+J7RKanicz7lraV5KSqG7IkZzEvOZlMaZoWrevlnFxnOHeBsmg5ynUWUN/FtrwILDbCwukSDqNFJqFbm9cTFwURjNaxc0KTpAlF0cNaS170sGnOYGOLrNePCfnpsrJW+lRy/2E/uvJNMRxzfPcmVa2XrJaAWn5fraVzQ8VqrU1SaMBXC/b37nEwWXD24hVuvvEKvl5g0oy6ccz29+lvjGhbx+TgiOmRZePMFsPxSBJZpIW9A00E7FkZ2WnfkoSArxwhSJGhG28EYYW3bQs2Ix/12bFw983XSMebPPzJz/JzZ87w8g++ycgolLa0QdzddWihrSiPKhSir6dDbPNME3pVxbN/+ad85R//c2zRj7JFa2t410LJ6Xm5Sv5l/0iMIdRzin6fvN8TmRSbMRy0oEGbEcG12CQj729QzU4IvubMOdGvb13L4f498HDm3Bkmr7/OzuYmlXcsmoayaVBaYoVysUBnLYvZBOcarr17A72/T5Yk3Lj2FmmSiFb65iaNc2gCidH0spz9eUW/V7GYT9ja2BAZCS8Zr7FatKCDxE4axbDfp5/nqKCoXE2WZ8wnjtu3bzMeb6C05ejgkIODA8hzBv0xP/rmN3n46Y9w4dLDvPXCc9TzOTffeovdM2fYunCZw6uvc3T7FltntggoRhsjZvMpFx+4hEky7u3d4+03XkMZzbkzu7zxkx/z7vWr/NY//KdsjwayLmiLiR0u3Ld+dvdntZ7+rzmz/lc43ud8T+8JgWo+haDQ1nRlLdpYrBv0eyS2pXUtPiaVrMchEWvTSrTiVWSVdDq+YgzLcm3u3rdenFdK2IPGWoIXWZJ186vuPd1R1w2z2YKmaeliSWO0rPkR/Oriw+V5xiJ1U9cEnSy7VJIsjeDIyi/COYdW4JoWbTQ2Gp+2bSuAmzbYRNrRW+9jstaSJGdEysharNV4twLFTZR2a1tHIBXfkfiY0hqTpPi2FXJKV4xVKzCkW08lL9HL4iuhM78O5L0eaEXeH5JkuXxG8MwPD7j37g0ODw8kj2latIIkS0iThK5TRtiIlrZploC27ImOpp4yn84JihhzWZS+w/7Nd+gPR/RGm+xcuMhw5yxp3sPYBK2TtUKzdGDWZcn0aJ/J4T71fCYJqg/Ui5K2rdm/c4/Bxm4Ey6PxnFJoswbqKkVa9JlPjpmdHNPf3KVjZp0a2x8whz+Mx6nYbwk8xfhTg/ftkrwiIK+w75umwXu3NHt0biUjUtcNwTsSK3O1bmoxQyOQpuJ/0fmmLHW5I0u8696S0Fyt6dWG5ZgOSnHj+jWRHchSgmvFgOk+huiSCBGEaU8IK91dJUx2FQLKeULT4FsXu81abJR7QYnchPxtI9qdbczTTIs2Cq8CKrEsmoqPfeIZxr0B3/36N8jylCJPeGBzm15/yJ3rNygXcxKjJcY1Bp2nwqwX5pjIUrqWJx97lB9+8+vcvfEO436fnrVYIM0zvOi6kGqDDYWw/IOnJUBwArTlQlCQeDQs1700SWiiwb2JmvtCWIgEq6ahY8FJPC/DQoBjAaMWiyrKT6yu9RKI9zJfQhAcwihHHe91XdXLNdoDKM3BwRGt9yyisZ8YNlt8gCLLyYoCFwKD0ZDHH38cowDXcnx8xHQ6xRi7NChW6jTIu97NeD/Jo3t+PWf5MB0+BJqqoi3n5NaK8VfsAPHB47QmrS3KaKZW43xDYhzvXH1NutecF7mXtmViLMeTKeONMePhEE0T+wi8FG0Rso0tRvTTHp/+3C/w8kuv8P1vfYfzF3d56MEH2dncIEst2iYsqpo0y3nsySd58fmfMp7MyItogpdYTBB9WucCZdXgS9Gp1VphplOsdxgfqAhYpVFOkViNCg6HAWUZDDa5tXeHP/5//V+5fPY8RqWkvSEmLdDzCfPpCZPjI7I0ZTweYnPLoqwJypJYxWA44qlPfJZn//KPmU6mDAZ9dne3eerJhyDUbG6NaZuao3tHDIs+eb/P/t19ZkeHkA/41d/+R8xnE15FM9jYYPfcLtV0ik2LKHelTxFgujqa5OX/5ve521q874xzP6CQoSDo08oGClA2wZDEz1IRIJZX5UWPQa/PYnJEPT3hcDZHpyn9wZCiP4x9JGK4HAIQNMpYAamtRgWPSXNsVVIv5ni3T1b0UDalbSva+Qyw9EdblNMJNBVJYsnTAp9EaTtfoW2Bil3a94Pp739NToPH/6bH37i/dlXxFQA4sQmuLfGtSC2IgeBKInml7hf/H9mwpguAgrh/9zZHnBwfQ9sgmpcs694d7T8oUEaAkGouJnavv/IymTFUVeDevX1smqCMpa3bjtxMaD21Ey0QkcdcXU0BdUtSq0mMoSxn9Ac5vV5B07TMZtVyESdWGFvn8XULaMqyZjYrhZW1ZG7YuIEJkBEii3kdDO2CB9kohKkgQLGP4FmncdalCZrEJtT1Chwl+AiQpMLu8hnzxSKaG8BoPMZHgw0J0hsRE3dScfRNK1pLRkCzxFhqpagzS2EUs+MjRttnQCmSVNpwQpTlSNOULMsoy/IUG6VpGrI8ylcYodkb42OL0gpQXa9Gvh9Tcj1hWWdsLE0JnV9+T+88dVsLCyuAc4G6aiLhQdFUNcbomMTAdDKhrWo2NsY88PDD7Jy7IHrD5q8He9eff1/2z8/ssXauQVj9WmmC0mzt7rBz8Rz/9qc+yUNPPrZsJVPr85ZY74kfMZ/NeP3VV+hZae8XDexuwZJgUvQGU3pFQR4ZpFLtEl1aYyzUFXdv3yJNEtq6pmlqghfd75OTKdWiZDadMpvNolmDR2HivZUN22pLr1eQpglZlpAkljTLSPOUJE+XzqR5npGmepn0ntK29d0Y7Dap0/dVKYWLIGh3rCfZp1ueV+/pxsgHAcrL962xev/6osPaGNSxZdWDXTuHpZ7j2t99z3kotUw65Hn53k2U63Gto2laqrJiPl9EneAFRa/g7t17lDFA7dgrnbxNl+CrZTIpPw8GwyXjf711DQxGGaqyxHu3ZG2ss7VPfQ8fi29aY6whK3LSPMNkOflgiIps2fuv1Yc5Me0KxMtvpeSXoDy2yMVwziR4ZXBdASBeP+cgaNDGxoQPtEkIVOSp5c71N5jv3aJtG2aTGR/74pfYPXOel77+lxhqso0x7XDI5PiQ+XzBcCjVa49IEkBcx2PbeMcOFmkIaVN2PixlYUQfsTNqUThXYXWBKXooramqKS986xs88cynSfMxB/duMhz0SVNLixLWnDXYoAiuXa03xuCLnhjeTva59tqLPPLMpwG7bC8Eluyujk353mutMArywYBf+51/xtf+x3/Jwe0bDDKD0wadJCRJTvCwWEzZvrjFmYce4rVnv0WeWIpCTD2PplPS8RYXnv4oZy+c5/vf/i6tqzmZnjCragZbu1RtS13NKPoj6uD55p//GXdvvMvewSF//zc/j1ucME7gTlkynZ4wGo+x2mCMwiSKoBXjQYFvHbPZhKJfEHyLimvbvXsHWBSbu2fY3BAGifMOow1JknIyO2bv9h02tne5ce0qx7N90kGfre1tbG/I97/zLaw2/J1/+DvkueXl7z9Pf5Dx2JOP8earr/DWi8/z1DOf5mtvvcqt69fZ2t5gfnRMW5c89OCDbIw3eOfqVQ4ODjAmZXt3izvv3mJUZHzqUx9jtn+T+eSAq6+8wtmHPkKW56tq5PsYXb3fvP6wHN3Yvz9hCSGA90yOD9HaohWxg0LiFe87UySNLwEjAC6wZMZKsTWyg1XXBr1ieWmFtFgqdWpd7X5eGipl0p2WZslyj+xMg1fxjooSRg1N00lPmFgcNstCawf8AmvruFozjW5QdIZ1YalL3Ml+ee/jY0I8UV1CnCZL0NS5FmMtVkWzugpUKky8LJVCWRNlITrNZQHXZK9XStYTWZMC3rUo1bXOC7jj1+JSAXJWjO3u2kmnTSDLMkYbY4y1bJ7ZRWv5Ti60HO3doTyZgZP4VRFIk5Q8TZceKcZ2chwWlWdR5soKUSTI3lwtSubzGdUaQFTNF0yOj8nzPSZ7t+iPRiR5D5Nm2NjVJUUvT1tVuKrEebeMp72THGF6MsE1Lffu7rF38zqPffxTbJ45C0bac0+n0wGbZICAn91xfwfV+x3rJnYflmN9p5DxSwRRVwXHNE0wSULTNoTWRUkQt3xfXdexm0dFUoNZdmylqTgcJZGso/SK0auMXs4nYfnzHmmOriB/Sv4sEjySyC5u2lYkY5x8m44heiqWXRZFunw/QIgdHd7jnZMcAmG91nWDrx3OBZwTZrCxCcPxiDt39mi9MGQDoKxhUVU4HZjMp1x+6Ap5ktK6hlE+JMkzyskMN6+w1pJZSwgtWRL9LbRGJ5aqrqkbyWezxDI73Gd2dIC1CcM8JzcWnMSaSS4grtGaUDcYLdrBOqzmLKojL4gJVeer0eXs3foo8ZSYiq1IFivAtyNMra/1nTyO6JavCE/rknRdHF1VVZyTAW0sVb2IJpqaxXxBmhWUixlNNM9ECSGvKHpLMoBXip/7xV/g5OQYj3jtXH/rTR64dBEf1ziPjXr/3X9+yWbvCB/rhUkT6a4AAQAASURBVIOOTbx+LX7Wj47ERIiFk6bheP8ebdNKgaB1KJuQFrl0ZSvFrA00ixrftDx0foc3X/wJvaDI+n20tezsbpPP5rz77oJ7e/fo5TlFZlBa5IXwntB4XFuTjc+g85zehQs8/OlPMT085LXnf8ze7ZssZsdsbG6QJQUmzXHRC+jKww9x991bXHzgAvOTCcoqVCv7r2saqrLizt4BWZaxtbVBohStlk5S1QSaOnA8OQbj2dzelQKKErma0XDEbO82VVlR9IsYN8BoOMC7ksNZRWPzSNY0KOd44+2rPPHpz3D56U9y49rbbI+GbG1uk/V6WBNw5YwUDdZy885NqkWJKitmJydMZ1MmkynP/MovMj6zxea5XR7+1M9x8+XneOP5H7J14RJpr0ClmRRglcT1IawIAP8m8Eo41SHDco8+OTlhc3Nz+VnrzxOLPOsfrxTRA2399af3sOH2LsOtM6jgKG+9y3R6Qm84oqwq8nx1wtoYlDGYkIJTBF/L90sLQl5TlwvqxZTQlvglwBIgHwIBvzgmSXOwBq8T0AqrtRjTKcuKGvTXg75/27z3bwwOd8HhKkQQva6qXkCIAu1Jury6ankTVppiHQvAJMKG3dje5NGnnuSnP/4x3rcEr+QmLYEbv2yBCd6LSycOazTlyTGhFYZq7R2z6VxAHIwwFbXGK4+xJmqBSWBXlp40TZjNZgSvWDQt3kOWGtx8DkCv36NHwLUetABOxlpSW3Fvem/ZFuqClzzGC7tQacVgNKRciAaqiywEHzdU0SKJchOKuFkrAahCZxig5PtHgBOU6AvHlmwfHBZDkmjoZzEA8fjgBQRtW3pZhreGumnJtWgBh5i0h7albCrKuqSsqxgsCPOzqSqyPGN2dI/+cIDJcmFUhECvKFjkGcPxkP2DfeqmFpA2zjjnWuqqJk1TtJYyqtYaMYwzEFQMeDWYFVu4S/zWq6odqP2en30QqYi6OQU41HW11HypymbpbG2Mjm0l4mS9mM0ZDPpcvPIglx96iO1z5+gNRyibxEo7y/G9SgbeCzJ9EOj3s3t0JmUrIFBrTd7vUWyMyfoF0/mE6fGUBx+8srYwnwYYFbB/9w7Keza2N+n1C/JMXDNb1y4DC3Hu7eGdo1xUzOYzikEvAviip6YhmqgE2lbcPNvWMZ3OODw8ZD6dUS4WsT3LMuhn2CSNIHCCMYo8K6SNnkAS3ceLXkGapSirKAoxwutYlR1wfX+RQilFlufCauoKElrMA7QWU7b13Wqd0ft+Y+T9ZCjeD1xe3p0PYNi832evv/79Fv+VScmquOa9mADptWRg9VndZhwwqV3qoHvnqetWtA7nc/LZnOnJFOcdB/sH1KXoDKOFia61pW6quL6pCPQKc8qYVYC9fk3atqWuq2VgvGyd1F1Ryy27LtrW0Rskwm5bA9K1jetz3FPU+1yT+9ndH6ajK7GuFxhj9kYe3aeVF/ml0Eqrk1eSwAZARUPC4EVrsO2S1Lxgd1v0MskShr0t5tMF2eUBk7pid5gz2NiUbpi0Kz7IGXVrcldkkK1K1m9rDD4WGu4fu90asmSGKwhNhUkzin6fJGlIzJw3fvgt2rTPeHMDdzJlYzSg1+/F8dQSIrNAd4UvBXnRxzUtedvyxnM/4Mqjj6P6Y2nvWhLZ3l8WZnWtA1rJ5/XG2/zaP/73uPbay/zgL/+c2eE9lG9JVUKSpdy6d5fPP/VpNq88jPvJj5ke75MXBf3BgGI85uKjj1DXC577xleZljPunswYn3uQz3z65yHAC9/7JnuH98jnC6azOdeuXmOwtcs/+d/+73n4sSe5ff1NBvlb1JMJRwdHbG5uMdrYlCJaCJSLBRsbA7Z2tukNh6fG+MnJCUV/zOzwGO8VKhXQwgWNMQmtMiR5T8DmxPL3/vm/T2JTTg4OaUNgc3uTN9+4Sj2f8uorr3B4fMTi5IQnHv042aDH7pkdbt+9yyfGm4y3zxCUdOns3bnFq6+/RtCGu7fvMCtLbJqzubNLmhrefu01zl94lEE/p6nnXL58melsxmI2wyYyt4mgywcxblez4sNwhCUY9n4FZaWkVBL8ik7R3ceuK2PZtpwIY9VEsE6e12gdjYlQeB3es0d0AC90hqTuFJjUgVDOuaWB6LJji1WhE2TvLsua6XQKiOREnufopffISnai+9y2bZdruPdeEroAAY/VZrmvhiDyEB3buO4A4hAIHkyypq2sFVoLCcE5t4yrhaWnsImJnSh6yYZzzkUJshVLcmlQqjwaJ2sFXYFR4uJl/rE8T5brn2vdUsppa2uLXn+ATVJ6cV0GITCU5QLwZFlCuajwQQrqNtEYS+zei7mRFnDQRlazTUQaxPsMPyiYTVNm8zltI9+lbVtohWW9mM0ZTk7IsgybJmJSZkVf1CkZZ8EFFFpyqbZlOptTLhY0VS0txSFwfHiXk3u3OfPAgzzxyc/RG26+h6WklGawtUtoG4KrwaTL+7g+vtd//jAXaYHlfFiSl4yULqwV+cKqroEIFuHRWuQUlQaDdEdBoG5q6rrBao3R4puRJt1n2SVgmcQ1UekVAJmlqxy7Kwhpo9+7txEDOy2FFaUiC7kL+Fjdq2U8u5zD8hnei2Gbc60wEyODtm09rXe0LjBflCwWJU1wTGZzRqMx5x+4zBtvXWM6mYjUY1Uz6EvhcX9yhFKKXq/gledfkO5VpcF7MWHTik4rXxmRqHHOkaQJx5O5xDPWomIOgffCxNRevHSCx6QJTRAd2a2dbRbHR+i41lpjMGjyNEUpufaJTWLML9+7baUDKots7+4aGZOeisP88jr5KBEj8htS84uybigZEUvjOwGOXSSRdcCwdB+vCFxt68RkXWmMTagbud7OSxzfNM2y8yHPMpKiwFvL5Yeu8OwPfsDhvXuc291l/+Aev/iFL0SSlon3XktPQOyw7jhzXe6ybhLareUfJkKUV0JxQomZMN4xHgyo6ko6JIAmOOpyTtvW2CwlzXPyJCfvneHSUx/lzetvcPfq22xubHJ+d5fUQKY9ZzfH3Hj3FvW5cwxH/SivJrr2iTXkSQ7NFNcuqB1Uxyckec7jT3+Uye4Ox4d79HYv8dZzz7M9TMj6A0zaYzTo4c9uYYzm+GAfX80p0m5ftgwGfcm9jmfc3ttjc9Bja3uMaz3aZgREhuT2rTvkeQ9tpSMFraVwMh5xXJb0m5akLVEhpS4b8rxHPoTHnvk4rz33LKF0nByf8PZbr/Hrv/ufcPbSFY7v3kEHGAwKdJaSJxZX1yxOjlCJYlTkvHP7LsVIs6iOOTg+YbyxxTsvPsfh3Tv83Ff+Lk//3Oe4/tJzzO7cZnt3h7tvvsRsuiDd2ObBx56m63jqUu37u6vuP9b38RBE1rR7fDAc3Pfa1XuW+49axV2wWhO7J9fjqC4clYKD5ezFB9kNnnKxwDsho0rXuSJJLSiFD5oQxIwbZVDaotOMdDCgnM8FGPYNWlspqvUGqKDQaQZJIkQnpTEmlzVPrfwrVhTc08f9eMPfFqf6m8lKsApku61RoaJIMxzu3yUxKdloQF70UTpBLZdFpPoYHG1bU5UL5tMTjArMjo/56Q9/SF2VWKL+jl+BKp22km8F7BOdUNHYNc7Rxo1DeUeixXSpbRy+bbFZJsZ3zuOQQHMxPaGqFvSHA0bjPk3tqMoa5wPzeU2eJZRli9YNbWjp9QpwgcX0iF5vQFNWtG0t7sxaEVox20mTCEClCUmaUdU1VVMLU0dpnFIkxkStMxuDfo1vGgmUvZhCGaUF1AZCbFlRRqO8BMRN7XBtQ5alKDxFnsVqi9wV1zoWVBDEQbNrvetFszznWmpraaOBxnw+Y/9gn7yXMxoNhBVS1vSTlHu33mX7/CX6gwHzw4xev8+8N6dalIzHY5q6ESfV1mGLbMkirMpKBq61IinRtOIYGlSk/IvhjzU2GoOcblvpJvCS2dCB2s7TVFGIPyYRAlDICPVBgMi26QDjOgLqop31yKOPYlDsXjjLo08/zXj7DMVwLBVjbQG9ZAJ07JD3m3QfzmO1ACrNUmg9tQm5TXB1Dd5xcnRIuPzgfQH8aoH2reNgbw9X11E2QFPXNT6IUSLIAlxFM0Cl4OjoQIK1JhYoYv/VeDTEe89sMsU7MQmczeZMJ1Om0xlaa/r9HoPBQJId27kDC/vYe0+WWYzJsLZrq7ekeUpeZJjURl3u5BRDaj3oWT/qaKoGp+/3/e233bG++HYJ9Ac9v15x7153CuyLx/2GEN353v+56//e//i6oR0IQLz+WadY010SLNk6NjLMnHMoo8mMGPfp1CBfQRKNRBvu7d2jqiq8kwTZsXKp7w96aG2WbUPd/O4A4HWJmLquxSRTCaNG1qlACC3OiayIRxLoxWKxNKSr65oA2CTDNa0UI30QRvUHXJsP5RGivev6d4jBb683ELZqcBEsAo0w85fMPaXAeXACvgQvgHuaFfjgCFVFrzeiVYprLz7P2d0L9Le3cPUMr4TFkvWGtNViWYiR0zo9lpaGUkqdmm9dm+L7AWNBBaRu69FBxxbrAVsmZT6dcu+da1x68qNUKhAWFaNBP8pENagQgZ6gwDfQKvKij3eOycE+L/7w+zzzhS/TmUJ1x/pcvD+QArmuOnhQBkzGuYce5zf+nfP8V/+X/zP9/ohLTz5JU5Y899IrfP9rX2f37CXy/ogf/fBZzu7sUOQZW5sb3HnzDQiQVAue/sgTECybO7uMt3fI+302z57l8O5tju7e4ht/9K84u7PJx7/0K3z857/E0d1bpIkm64/Y3d3h4PAE17ZoHd2N4zXvDUb0Bhv4tongljzeto79gzts5j2a+Sz6HmisUah4zSeLBXXdolrPiz/+Ic9++9u0sxlbZ3b5x//Bf8SXf+vvc/Wll3j7xjuc3T2DjQGpr2tUEGPhO7du0JZTNv6/1P3p02XZdd6J/fZwpju9c86ZlTWiClWYCRAcQIGCyKYk2mrKkrrD3dHdjg6H7fA/4s+O/mR3h8MO6YPsVouUyCal5gBCBAszMRVQc2Vl5ZzvfKcz7b39Ye1z7s23skiAlFqoHVGVme9w77nn7GGtZz3rec6f53Q244Vf+hKf/Pv/GbfefYc3/uKbzBcLtrOMxckBC+fY291i9/wui/mMH/7gR3zn29/lxU//HJOtrZ5Zh1LvC3vPBrofnpP40X37cfuQUhqTZmKC6OI+bEzcD7ushhhSdftzQMgZIh/SF93W2ckqPnNrehBDfpcILJi+KBiCxMed7Jqn0wmOBXtkXYicxByrLUEbhpMxVgfRBI/Mxm79d5/17HkmrEkdAWobzb3it+LXQpDCsQ+ONBb/Fotl36HS3VlFELMspfBrfgGdJn0garyqlU5zkgqQ3j0PY6Wl2LcVIZpIdkP2UEUIPnYCBrxzcR+U9zs6OiGg2NrZwSaWJB+QZjmRDoJNEs5fvUazmNKEhqbxLOdzvHs0BtFGk+cFWZpiIhmkjxHiz7m27SW0ymW5ApHqJrbMB068J63qvqjdJc3yeUJfJKzqqpfq69jWRnkhX5QV+7duYoDZk88xGG89dnYXwxEPb72DTlK2di/AYxit7z+LH/tSH5rRA8TRfIwoXWATA7VIZXUFDhCtbG0MVS0mgzrGV1VZovMsrgeZS6s1RC9DIQx+vcZElXhtnWR0NkZVWvcsYKV01NI0HU72SIx4NjbtPmN/Nsa1XDcNwcG8bJm3jmw0YXn6EFsMGQ+GTHa2mM3mjIohG3vn+OKXvkTdtDRVxbKsGBZDXv3+90iNZWM4ZP/uXY4fPmRnYxPnWspqSWpSAXGDxHGDopCCjjYsqhaVSodsWVY8+dRTbEzG6NBytP+Atql6/d4QNA7Y2rvA1aeu8xd/9lU2R2MISvwPUNTLkuFgSGrFqyFNNXVT950X650W64zg9bjGRrk8IS90OWzc81abbrwmkf5x3uOCMK91BGpDgCRJe4auDwGdJOCDFByUpigmKJMwnS+YLRZSKMiyyLgMTCYTPv65zzLaGDM/nTI/OSVsb3Fub4/xxoZ4NsTn3AHVXdcXa/HPeufeemy3/ueHYXR6750P0iBLGA0MdaYplyVN3VLVNdp7VOthVtI6x507t9nc2+X89jaD+ZzhsCC1AbwjTVLMdsq1NCXLpINMaYPVgbYqyYfjiI4FVGIwdQvtAr8o8SgmoyEmNNTLE0YXt5mVjpOTBXlasT0es705IfgoA+hdX1jW2jAcplKE1ZbpcsnxdMqwGBBUgskNSgfSXDRup6fHTDZ3cFrTVDVZmpFmBYugaJ0n+Abf1Ng0Z1nO2BykfO1P/5hUQ5LnOKMpds9LUbFt2Nw9R+WhLGsypQnaCFzS+YHphLL1vPfggMQoLly4wGg4pBhkLI/u8vLv/w5f+M3fYrixgfcN5eE+TVly69Y9hlee5MmPfJRwNqiLKHGIRdo1TFewBUQWZDqdkkfpSNnPFNFFQF6G9TOn2xO7fyqOj48ZjUa97OHqt1YjZstrALHsq8VgKN8/c+0hyL6ZphkhSXCNFiPIpCAdaGw6FFDZtaAtOsnQSYK2Bq8s2BSTDGhdS9AqFm9CH6/9pIfoXxe3+mvZtqu40fX/BpR3+Kbk6PiQYTuBjR3ygWxk4cxnsNqQGMsgz1FtI8LsdUsaUXEfGbht06Cgb0ODjh0h0gGdmYQ4bC9JvKZsm7ghR23dpmG5XDIajzBJwmKxwAdPUeRsb00oqxJVWNREidOwtrRNjWsddV2TFDn7+0cY7xgOCpq6xrViPmdsjlOa+Xwu7S02Eeaacyzmc55+4XkmGxv80e//ARppS0+tFUBdy6aujbjTikGtxyS2BzbWdX9UNBoy1qJ1K2ZdzkkbotbkRYYLPrKmIcsSlssS5xq8F9M78CSJJk1ziiKnqkTTpKpK6mrJ8eEBo2GBTTRVabFGkYTA3VvvcvnaNQaTCfVyRp5nFHnOxmTC6fEJVSU6viM17FkMbduiaqKJhYmmetJ21LlXKyWi+ComCo8k5+FRKYkQAvgQ2/FiZbt1oiPkWpq2lcpdrLbXtbCZm6ahKktms5kEFMuSp555hktPXGXnwiWSfIjNcpS1KGNjEeMvZzj8ZYzNn9URiOsqsqiBPmfVGELVcnBwB2U0L7z40fd9LmHuiGnc/bv3+P63viWaTdHUxbUNSun+2QI0dQUosiIjHxQcHh5irZiKZV40wBMrLNW2rlksFpwcHXN8dEJZlSRpymQy7oFhcdSFNMsAMUMJIQgLwGjyNQdim1jSVMwZFMTkaPXcusD9cWzSswGSippvSguz4S8DHUOQdnV15nvvk49Y3X5slNSQJEPMI7rA/HFb+uOYj+tssC6hj+F9v5a6Ntr+c65eYO116H9PmGDCfOm1orW0TlqjpE0vBGbTKVVV9c8nzzLyvCBN0ggsrO5Pl+ysB90hBAbFgI6lJhIhKcfHp8znC9rQRpPNKUabXodzOPaSgCtNtSzR1jA7OWG8tYPCrvPdZU1r/UgC9WEaAqKeqRYrUF5ctn2zxFtLkmaivRkCbVnFbETj2zh/AwTXcjKbMdm9gAridJ1mQ0wizsjn97Z567XvMhrktG2FbwR0aJsq6gV7go1a+iEQvIotpQ0qOq92oG/QqtebfyQRXSsArooxHhWLAVZZVJ6i1AClAu+99gOe/+znGY0nHN56l81BQj7ICSGVNtee3SQ6aVXbMpmMeO/1H/Pcpz9HMtgg0Y+3MHtfdb2fH7GlVknL7//yO79HZjX1fM73//xlfu6Lv8aLn/oU1dER//z//n9j78Iu4zzj3u072NRS1xXbO5sMx1uoxDI0Gh80d978Me+9/gqf+tVf58pzL/Hw1ru899qPuLK7zcblK6RW8+C9d3h4+wbV8UOKNKEYDNlKxzTlNOocW5xr2dwaMRyNBFhHHnflA0mSYpOMujxkanPCbIGqA01VSsKhhT04XTZcev4ltLL8+b/5XYZZysb1K2xvTLj12vcpBgO0b7EE2rqSZ9p6vG44PpmSFkPee/t1RqMBg9GAoA3bV59kOp2RpRm2GDBoJIndOn+OxFoW01OKJOXWOzd46823Cc6ztb1HW9d9Eo5J4jm8ek5n9zytPhxnL2p17d0aeN/+o8CmOU27imUEHJY1H0JAZRk+Wen0Epw890c6rXw8502/Z3QJvjojzdWd1Z3Ou7U2ekl0wIHIAtnUojDUraNxnrKuyfOc1CZ4B9r76JCO7AdK4VgxEbtz9GzBcgXyy2lY11XsNFl5WRRZRpbJdR6fTAGRx1EhiOFLCHjXrBV95QxSSkUmpY6sSoXVCUqlvW79+nBti3IdSBNwseWiYyyv7u/q91z0uDg+PqVqHHsXLjDanKC1YbK9h1PiwtI9941zl2jKBYvlnLKsKcslZVXRSRJkuegjt01Llmbik5ClEmOF6COAfL+NwH6aGFwrhjVVZfvYO/hAWzWE4KkakTbo4uNu6nVF3DzPGY6GZFkuRQTnKMuSo6NjZqczDu7d4+ZrP2L30rWe1LIagTde+QGqmrN34XIs1D3ef2H9mX9Y4uYPHN069kGeT4xnmlbueVHkLH1Jnud9HjObz1EqavSmsl58EF1h7wSMdM7RKlgufZRP6tj2YuDbs9xZFWDlXq7iLKW1xH/9c46F2SiDsX7urhdt+7W5XoCLxIHuZ4L3tMFwsmwYbG/z3Mc+zmB0A4MitZY7D+7i0ewfHnHjvVtUdbUyk24dBsWVa9fQixnDLOebX32ZcV5A0wixKyvASIx35YknuHP7NoPJJifHJ2SDjLIROYkLV67wqZ/7HLt7u/zRv/kD2nJOaiVn1RqMSnBBMZ0v2Dl3gaZyoBOCsiirOT0+Zjge8/xLH+PBe7dYzubkaYqLUhS9nAdEzx/TFy7XY+1u3+kA3e73+i6FKKMmMY/kYCKPt+pe6PSDrU1EohJwPqC0xbcVPniSNMU5mM5m7B8eoZRic3MTMclr6Yy0p7Mp3/zOt5m5hk995tP84b/61+zfv89Ln/q4GECHEAuGRljEkXRgtYnazOtT/NF8fH0///CMuN+gsFkez0wVO9TjPq9kzWRJJjiL9yhVsTh6AGXJ1saENJOODhBN2SwxDLIkrrOmX4dtZyaY5aA0zoDOFK2rMTpgbE5T1SjloFnCYkk+nJBtbrCcnZCOUmhqqtqT6ECeJBgtMkNBgVeGdDBh26TkiebYOx7cf8h4ZwerhTlf1yXKpBydnKK1pRhtkpmCNtSEJrB5/iKVrxm1DXW5QGcGkxW0synN6SEHx6cU164wGAz5pV/6Re6/9Rqvf/NrBAvZ7jnu3r5NkedMNiZs7m4Ku9UYMIHrTz/DovIUviQrcvLJFtammMxycnTEm3/xHZIsJdee5XTO7bt3OF20/Pynfp6AxXfnt4fQ57DrMYN8KXjX5zMKzXi8gY+d853BqwwfzzvVF2gkDokFs1j4nUw2Ys4cfyvmyx801tLktTz67M+sOhpRGmMzgqlRqohaxGL8rlRApzkOjTXi0YU2aCOsb1ETkDgprL3RT4I//U0wqp8KHO4P+Q61jsET2qCTlGw4ZL5YUE4XKC83PhuMMEm+ivJjJU0rYRwrYzGBKG4vVYCgApOtTZbTGVVZRgbZ+9uzO6F/ay15mtIg6dyyLCEGmF3L22KxQFnDlSef5PBgn+ODhxyfnKK9I81ybJKiVaAoEnwmFQqbWMqqJk9TYvRO4zzLKDPh40MaDAYEBZkRg4sqiGxDYi33798TIfwkIZmMWcxnJEkqerxti6tbUNKEpIA0z/sq7bpem1IKzOpA73TSQDb8JNEMBlmUePAYK5+hqjot4M7sCpLExEQgIc8zqiqjbVqW8zkHBw/Ji5Q0SymXCwIBnYvGbBvbmCebE5q2ZVjVbJ/b4/jgMLYaloxGY7x30QAvyESvGkxiUN5jTIgFAI33gTTt2qy6KSLP96w5nWsdIbI2XCuabW0t7s0EoqNjE5OChLppaCLguJjNJODOMiajMTvnz7G1t4fJCtLBGG00DtF16iozf9n8X5+LHx6QSdgjPgZ7QOSZK5I0Z/fCeRZvn1At5lRVjbU5sgsDKtA2DbPjQ77/rW+wf3+f6eEhWR6BKBdwQcwu1nVnYUBd12hj2d7bpSxLTo5O0EqcTYsiZzQcsZjPmc/nnJ6csJxJoeXcuT22tjYxthOHF1M527k2GyMM/STBGN23wsraEC1araQiruP8CpGx3iWeXbLaB4LqUVbXI8xd+cIjQfQ6i6BnIMXAVqtHDee64BHW9BeJYEF8v9WziQfZ+jxcq/h3MZwcjqv18v6EbMU4szZZacWd+Yzd7/Q/Hiu160BxUAGlAnmeiT55ZknyOdoY8kHcX+PJLc7OVuYbvgdHuvvTvUenzdq2La5pCd7LXj2forVmc3ODPCs4nZ7QuhaF4uT4hMViEfcXYYnWbSuAhApoKy3K461zYBNEs0A+xbqEzYcJIO6LBF1g1IFmQQKY5WJB3TrywQBrE5qyxvkW14rET5KlJGmGic/dBWgwFMMBpw9uSxEwzWUdAJONMWXT4pZz0izBu3iyBoUjUNUO7TWaQBtaSThbkTpCrQAwHZmBoha6mp8dgND/nW7+BXyIRb16CUZ8CfLhiC0MP/r613jx87/Mx3/pV3nzL76Om1cUaUaW5gKA+1Z0vLzj7rtvk1nDYLzN97/2VT73q7+BCrpfU2cTnzM3/NF/K8WdG2/x5o9e4YVnP4Lz8O6Pv8/3v/Xn/Jf/5/8T3/yj/4XRuwWj0YjEGKbTKcdHRzy4f5+8SEiLEYntWmYN21tbLGenfOsP/hWzkzlv/eAvqE8OGEyGXH/pE8wWNQ9v3aQ8OaJIEhZlQzvcZjPPOLg9wxNIkpzx5g6awHCQ03qPzhLSYovRYINyPqeqWnZ2zrH9xPNsbW+wmJ9yevCQO7duEeqG06NDLly5xsbmBn/4O7/D5njIk889S5Im1IsF1ekRYblgeXrKeLxBXTYyh9oaZ+WsLLKU2cFDrl3cxXvH8cEB9+/c4o9/+19xaW+H5z/6EZrlJWwQAM4Hx3CQ49qK09MjPvLMU9x6+wYH773LvRtvcv7adVm38L5ge/U4+tLbT7+Y/iOPDwLNQJIJ17YQAtaILI9NUxSq7whwXol8wNr51cn6yFixCQHZD1mBm93e10s1hID3Unzr9mMQQElFw1Zh4mmcq5kvFsIWHo8o8hQdO7LougPXxgfF7Gc7beqqwgX1yL0BGI9HBOcol9IhZuJ5353fwUjsqMIKvMiyTDojgiexiqAM3tdR5koKkxL/pv37r5/nHWjTaYoKICYb7/o9V0qe1cnJCctlyfnLF9k7fx6bJOi8YLKzQ1grRsnn1excfoKyriCIF8bRwQGL+RLXyutaIzlN04gpbFYYYTUjSW9ATH5d01KnKU2ixcwymkRXVdXnBd31UimMHdC2jRT0tSKxiUhfDIcMh8MVWz8IozgrctCKpmlZzKbcvXWTcrFgMJ48MmMBtIZyueD46JDx9rmfdCX8hD/3H3t08V/oJRIJOvahiKY+SnSplRZvlmVVUVWS/4ROagAlhe1W2OZlVQtbNRZYpSgTaNoGow2dWWtd1zLnW4c2FrtmLgmxxTjmzT3QiwAmRGmk9XkrHZue0K23/kyWr4XQySB0rdpxTXiPjsBqWzueff558skGr3z729y88S7VbCHAOCFqpWspxiNs+zzNwMj9OLx3jzTPsCp+f82UzTfSdeCBN956i8/+/OdpfeDWrTuMx2Munb/I9WeeZL5c8tZrr/Hv/uSPUcGhQ4tJdJSDktzSeU2R5xw+eMDu7i7j4YgkTSjrko9/+pMUec47b72NW5ZkWYZ3jiS1NI1cjHNOZO/if9YYnA9YK4xsF8HyXpcd1Zuj69j9q6x9ZM8Ia2STbr11ndFKKZIkpaxqvA+UsViqtZFY2ovERNe9UDcCVidZxsbWFtpYBhub/L1/+J9y9/49fFNx9eoVlILtnd1IQJM4jqirrmJsLtKYj3YTnmUMA4/E8D/rQ4WA8lF3GEWS5bQ+kChH4z3zqmS2qCULVg5bO4xRDCcb3D044tU33+TTH/uYGDBrj81SQjBoazEGjHYYk8QMKeaSNuDqueBH+YhEG5IkY1aWkUTpUcGTmhRvPKE5IVnO2SgMo40xWVLQBk2Cp2lrBrnuj3YVZ6IPAZKMfHOPkYfbR+/ijgKDbIq1hmUT+OV/8Fvs37nL3XdeZ7p/j/FojPENi7Li07/4yxzeu8v+a9+myKDxBReffIr90zcZjzepG8+9/UMuXsywixOOT0/w9ZzSe37hV36NP/ndf4VSDT5IF2JmDDqkEFIaV7K1vcXi4B75YEiWJjSuohhsUJee+3dusHvhEs3hfZp6ybIqefEXv0Q2HHDzrVe5ePkKyiimxyds7V1EWyuNKHF/ApEM9IDu8yDi1z0+iIRT3ynTEWp8nPpAVZVUVc3m5iZVVZMkkque7Sx8fHp4FgGOxKMPBI3Wf0fRePkVk2RoH9Ap2CxH2wSUobMY6zqOfJTfxHceZPGV/hLA999XXvvTMYe7C4qAEQS8DqgIGmprSbKC4DzL5YI2OMYqkCmwSR6Tv2hM411ktfq+9SIQ8BGIenDnLnYNSPBeKvU+BKxNCK7BOWEZhOBw3mPTVBx125a6dmxsCLM1sZaUlNo1vPXaazz94gs88cyzfPdrLzPQAWNa2kYM4qwRAwvRqG2xVjPamEibiYKD4xN2zu9xcnSKwsghFNGaxrUYRI9JAT/+/g9o2oY0FdfanZ0djFaMhyPm09nqYHeOQOCZF19isjsktAupFJxhm4h0RSJMrDhWLegCAI1GI7Q2lGUlLM0io65q2rYL4kFrSQysTUjTnDwvhMWwXFIulkyPT0S3dTgEpci04eTggJ0LF6iWY4zWDEYldVVFncGG+emUqhS2Z5KkzOcL6jrBe8hSR+ITUJAkEiz4YCObwYk0gRcx8schs0YZXPB9O1zTNJTLBWVc5KFnBUqgulwsmJ2eiLxEK5XCvBhw8colrj/3DLsXL1CMRqRxUXrvYk3mTFvWBwCFZ//8UIzQAZESAMZwVz63Vgw2RmSDjFs3bjDY2GL4zKQHowCmsylvvfEGKsB4NGIwHKJ8RpalksRa3QcOXQtpp1u4XFYURcGFixc5Ojzk6OiI45MTxqMRt6LumsxjTTEo2NjcIMtTbComZ1op0iyhKPII/tqVll5iSRPb674JmyIyKgKECKAGBBhuW0dV1dKSrnRsB4MkOQMGnykEPA5Mehy72kUAFqXWAnIJvDr2sfw9OrjHxB+tO57iI+fPeqV+vWCklMJHeYZurM/Ls+CDd67/2tm5vP55+r93oYgSUaDOeVkp4jO2ZEnBIB8wPTnl5OQEQqCqKnQ0uwKFMqv1lGVZBO1XwLmxljSkkpS0ck/SPCNUDZnWwgTPDGVZMpvNmc8XLBY1tWtovUMZy/buLj4ENra3OT05oSorbDqgGE/k+WNitdm/b11/WIZCYvpHnh3ggdHGJsVwDChOp6ckkXHYtJ5F3WKaislGNKbSmiYELl9/ktODByRao6OBjEbajL3zWN9GzbZuDkqlva5rDk8XZEVB2dTYTFyRVfA9MNyNJNgY6IQ1h2z1PvD17BxUsfW7rStp17Mpo9EYheb1l1/GOc+nvvi3eftb32V6cJckrVFG0zhHUAalDJ/4wq/zvW9/g4MHx7z4pYsY1dezAR4/58+s/W4EF3jlGy9z9fJlRuMJTduwvbfHnXt3+OaffZVbN26wMRiIEVHjGI8nJEaTGCl8KKKBmHN4NMYq0iwFHVhUcyZ729ydHlJ7w93b93HLir2dDdwwxRQDLmzuorC89hdfZzwek+bSoTOejCVodtFAK8D06JDlzfeoyqVo/e6c58XPfo4v/85vc3LrHYISg9rEyn569/YtfvCj77E7GHLxwiWKVFOXC4okoZrPuPHwFq1N+OW/83f45p//GU4rmtBiXEkxEPboue0xOjjqxZK6arCqZVgYLpzbYDk9ollWInnhWzGxTBKKYovLV68QUJy/cI5zl6/yw+99E5UkXHrqeZEJeEyQ+7jC1odhSH76mLnWreIQmE2PabxDOss0KI0OEFSg9Z7gWynEti0Qeu8OMaaSs1yKsqrXrEUJGFs3LftHJ6RZyrAosImRzrwISHRF1tX9Db3Of6fTKbJngctXrjAcZCg8y7KkrsUrINSx7TpEvdIg4JUyK2DYdhJxHfuZGMPa2HZftSRJSlEUlGUpxUytMCrpuwbld4XRm3hFEr8uILkmCaDwJNbStKIFaLTtP5dJEoaTDdqmfKTQ0DTiYeGjUZt0LHoIK0BbYgjJF+qmRiu4dPkiG7u7pFnGaGuHc9euo2wOvmU5P6WKWr7ee2w+YPvcJawWczfftsxO5yzLkqB83Ps0i+UCmybYJGGYJKBNNKUxEdxPBCQeZGSldMR5HzBLMZ5LI1DYti2DtmNWK5Q2sXCrMTYVMLvzAlCSgLpG2Knj0Yjl4JTDckk+mpAPclCrbqYumd46d4GbRw9oXLUeMv6l5+yH8Aju57QOJp51IvGjUYRo7hyUJUkHKBrqUEosog0NGqstjXayfrVoULrG0ZYNZB6sIskyyWNMgrXSHRGcI8sKFDoCWdEzIl4PytC6hhBjM4Wwwjt5Fx88aNUbsPpWZFZU/z0hZ7kopaBjntAJyYCiqr2Y2mpLcC0P373Bg4cPcc6xkRrcxlAIJIsFoYEszWjaFq0TysahnO/3wLJu8EoKX85DHRSjjU2Ojo4ol0sGozE6scyrBU+98AKv/fAV0kQM5o4f3Odr776BzTJskpGhxNskgPINmoBvQu8slRgN5YJ777xJqjWuWvDElSs8fO8mdVVhtMFocK0Yz9OGPrYGaCJQnlob5bhCL9fhvKd1DoV0MnSTWs4uF806DXUl5nrWWJHeiWB7UCtN+QDMF4v47Cx10+Kcp20DIB0Fi8WCclEKCOYcWZKQ5jlBa+bVklYZnv3Up5geH/OV3/8DhkXBzs4OexcvMpls4jAQZP9QcY+UmP79ZJT1tdv9vdOm/9DISsTpq2KuW4zGkOacf/opntjYwXs4Op3ykY++QJpmzGczyqbk3MULfP/r3+J3/9n/h4PDI3a2NqCTbELi4KBl7aQRuXWxu0RBlGGo8CUkaYoy4p9CAG0USZZg9JA6KM4/+yy2rclCDVbmtHcVeZJi0RjjRIM2xgM98UoRyXUJ48kmD6ZT6iow2N3jV/7xP+DipUt8+cabbO1uU3u4+847DJRn4+oTPPnCRzl4cI/5fMnseMEnfuNXePLFjxF0xu1b7/DEpeukyrP/zhsURU5ejGjw+KrilW98nc1RzrnN86R5QZZLcTKYQDYYspsXzGdTZnVFe3TMZtsyHIknUJIlzE5OcfMRaZ7RLmbkWG69+go3X3uV733727z0yY/x8U9+jCxNqTJLtnUOrQzg8MqifKA8PeTdd97imedfIimGgmEEj2sktjVpCjhCQDqatQGtMRF8TdK0B4+lI7nL8eO0WQsrH5Ou/LWmobyYJh+MBPv0LnYkWFBmTV1BcCjvREZX2wStDJ1Myd90/DQx819LVkLeJb6RiOUSAmRpQTFoqMslvmmoq5JyscCmBcYSW29i67M4UUU2XgdWRUMJu3L37PW+6DAX3R9y3Qe1Uay/bqQ1O01TgnLMZzO8cyyrmjTPSE2Cd55mOefENfzCF/8Wt27cYHp0wHg4wOCpyoq6Er3c4FvRZIzaPIulVPhn01kE2oRNoZOEqpEKlOv0olAo58lsgrcW3TTcv3OH0WQsLUVxjCcbHB4cgFK05ZJ27snyKC0RNyRtdL85JWki1cO19ugOIDZao7O0rzY2TU3TSGWkY0J0LWda2x5kLoqCPM9ZZhlNWXJ8dIxJxJwtSSx+NkPbFNc27F28SjWfE4JBBSUC7oOCezdvcXxwyPHBAeORLP6qKXFzT92k5D7vNWITn0ilOiY2K6fjEEGl0ANhIYh2oiIWB5ynKktOT0/RSssBHUGlJkqIVGWFa1qauqYoBmxsb7Nz7hyXr13l/MWLjDa2yAYDofZHJgWhs5f4yRfPhwlo0iippNKphWva4GJQoKnqFoJmMBgJEw8EUIu/vzHZYJAXnFT3mZ6eUi7mTMYDsiyN7YkrTd+OPdy1qhqTsFwuSfOM8xcvSMWuLPHBMxjkPTsiyzLR2rOGJE1I84wsTciznDSz4ogezTmMtY+0zJozbHugZ+ZKkOXifyLJ0jQOcFHDDax9P6MJHt1M10HX9Z89CyCvs2P7+69iq62J7MXudVQXjK9+bn1vW9dI7q8jtgyug8aPm4frhnjrn+EsMLZurLf+mr07cbc3x2eqtYLgMLmA93mRsrE1YblYsiwXYuBJB9ZDkib9667LjvSsNySZaeqasizRJscmGb2RUaIZjQeMRgOOj084OjmlqmvG4wmzkxPyNKON7YB7Fy7gvGN6ehyT2RQfq8e9TMiHrLgjfF2iZmwX6q6S89Fkk+Fkk9n+A/ABb0Q+ZryxSdUekdsILseK++bWNsvZKanRKJ2KNEdAAhaboEJLW5WgNMomVFWNQsCN5XzJfFGxe/kq915/lb29TQGTdSzyqtV89R1SEP/sgmephHvqVkxuksjc786yru3LmugMXtUYO2QwGuJCy+vf+CpVWfGr/9vfYnZyyOn+AYSAsQaVGLZ2LzCcbPHRX/o7LE9njPe2cVpj3kcIfnzL89lRLZfcv3mDvb09prMpi/kx2XCDgb7Pn/6rf8nVixdwxpMPC7QyGK0YjUeMhhkOeRYKCFbOzGZZMT2eMtm7wtbmDt/4kz9ib3ebxlqMNSzKGXWZMhyMUCblzs1bLA4fMLaQjyZoa3HtMppKIazpxnH88JjlYklVLpjO5pRe8fHnP8k3/vjfcPzeq0xGY/LBJkmWkw8GNK7l9rs3KcsZw3yA1grfNtRlycPTA6bLkmy8yVMf+Sjf/Oqf0Z4ek1uDazxNO2cyGaO9p61L2hA4Pj7izoN93v3v/3uuPfEErfeYpiVNE7LxkHdeex2FZjrfZ7msePLpJ9HaYNMBVdNyenjA9tYGoCKzSmb/2f11tX7/vSyv/6BDQSdH+sjoC41xJTflnMXpIQFhqHkfWFQ1qXLYLCGYFNU4Ai2NayEoqroR5pLV/Trr5CS6M0hriwcWZQ1aSARJkqCCX0mbaR4xpBPAWHQ0NfSMtaYuSa1lcXJEbjclRvUB5UF5aOPa7QkfoZNmkmKPjQCLe0yh0nuHsYY8zwDdt2P3Z6EKfZzoIuvOaisdZZEZjBICtU00eZrJ67bSYaJ1Z0QLdVUzn52S55kk+kFFjxIfte4dTVP3zOEmfr2ua1y7Yl7ngyGD8YhiOEKnKcXGFueuPQ0mpa0r7t98k8N7d1jO58xOTlFAXhQMJhM2d3a4eOUKRhsO7t/n6GCf5XLOYrEEYEDO7HQqEnzWkg4L0jTvi7zKxkJtYrBZzmDscY0UX9q2BS+dOM458vU8SYnckhhea0xXZNfCVG9bR92tNefJihyjLEcPHtA6YWOvrHlkXL7+NNZCWdWPJVQ8Dmj6sJy9j4xV3URS+Cjpou2KmOCd6DU/IvGlOmNeLexhLXtb0zTUCpo8RSUZ5aIUEBFDlhm8V+KZE+OWxNp+jbqOsRpJB+PxuGecd+QM4H1xavf39fP2LBEC1jo2ncP7rivO9kSO5WLBsCio6pq6aWN+5gTExdC2IoszHA77onyaprK+vKf1XjxOolRZ3bZcf/JJts+dYzmdcv+h6Afv37vLvdvvYY2iXMxIjBQ/tBYW72A4oiznuKYmT8WAsmlaqrIiBMXO7rmOQC2AbAgcHhwIQBuEAJaYFXO3697TqouJRRO4LEuapiHPcrkvPdFK0zQ1Sq06Efr8P7a3p2mKc2IU33UxGmOkmB1WeXmSJFRlhfdyLdYYMZ/rfHecF4+jEE3YnbCIk0Ra0T/xmZ/jE5/4OF/5oz9iYzyWjoA0Ze/cebSxVK3Da/VIjP9B42ze013zem7ysz8UWnUkKAECZ1XL7rXneOrFj1EtFkwPD5hNpyivyPMBrfPcu3GbQTHk6vWnCOWcuqkZDFKMVmTWkqQJVVXGYqxnXTaPCLQrAirU1MuKRlJsRMagIclyGqXx0xkH9x9wfncLk+ck6QC8yK5qI3WfpvFkJpFnYAxN24iMktIC3lnFcDziU5/+HEHlvPSZT3F6sM8f/rN/iq1OyY0l6IRPfv4XefVHP+JjX/giJw8ecu/732V7c8KyDSymx3jX8HNf/FU+o76EQvGDP/8Kd99+i+BbmmqOsga1DNy/8TqXL+6RJBlKa8pFSfAtztRom5GQwCCj0dvsXr7O3bffRmcphYIitRS72yhf0biGtq0Zbowo6xlf+/q3WB6d8o5quLIzZDAZ4UPDttLkkx1Zjxbq6ZQv/+t/yeGdmxzdvcPnvvT30GlKU82Z7t+nXC4Yb24Rgufu7dt8/+WX+fjnfpEnP/oxzHAISmONJek8C2Lhex177XKlFWC7SmLevy5WoPIHz0IZAZHECtpKmW8t/wh1g28qMAHvxGTYJmmUk42/rVbv+7j1+UHr8oPIbH/V+GvJSijWQoMQNb9QJElBVrQ4V6Ew+LqmLpc0VQVKKmesHT79zVYiMdG7GGuFUebRG8AKsFjUdf9vEHbOWYadNRblAWMJ1pLmOU1dMywGnN69j00Mp/fu8/RHX2T3/Hle//EPGQ8LkuEAEks9X1DkA6qq5MH9ErTBBQheo7G4IPINzjkGkwllXdF4h01Ehy14J4e5MSyrktSmKAtZkvbXC/RsW6s084MHXNm9Jge3UgQtrSloFd2mFXot4Ogfdv8nESQT8LmuhdEpB5OYCIXQgawhipI7pF1cwNulUrRNzenRMUYpMSsrcqrpMfu3PZOdC2xu79JsVSgcyhqRZTi3R7lccnBwwHy5pCgKJhsTdKKoy5KmrklTizUCAiZ5Ep9/BSTI0kkwxqP0owl78J66qvCtkxbEpo0i/SW+dQTnmc5nwjSBaNqj2T23x+bWNpeuX+P8pUsMxxsU4wnpYCi6rjo6y7LOxots2jPjcUzLD9NBuRIlCH1wq5W0/asAVieg5CDZ3NnrfrIf1bKUIHQ0YjGdr2lvtbRtEJ3fGLya6C7sY4uVimyXupHKe5amhNEIH0QjyMTgN81E7zDPMynmZCmDvMAYTZpKsqq6tQERHF5bC1JkR6Mia0kq+20EoapK9M2d8zFBXTFzvQ/v23Q/6NnKXFhpYuv4+brvnU2K1s0dYOVgLNVg1bOKu2tZ1zV8HADdsTHjg/3A8b4DJKykLOgPjNX3pQsjvnZAwMH4WQM+JvtyWFkbgdZECXA3HDIaj6jrirpp0MpIwt233el+QqXR8Eg+r+zzPhdDuyRLsSbppWnapiEvUtqmpRgUZLmw/R8eHPLGa69RFAOaumH3/DnyPGd//yEvfuoTzI5nzOczhhvbPZP7LFD+YVm7TgWWeFxwpFgSWqCrJgPGsnP5CicP7mCDMFe8tuyc32PRNuiqkmo1kI0n7F68xK133sZ4KRa1ZUUdjVOtTUQrOimEuescxmrcsuT0dM7B0TEbV56iKms6kwgdg6TgHajVnugUfSu0QmO1FhMW7wkKHIheWVh1taz2VAGElAbdetpqhlcJw8EQBdz8wbf48zTjl379P2H33BW0Fk19Hwkw3nlsnjPJi0gievRZ/zSB0nwx49JHnuf6k09y/+ZNyuUp1hjy8YRJXXP/4X2GA01ej8gGov+rjAWvyK0AbCaCB8vlkqOTU5LJFuevPsGb33mZZy+ep2kq5rNj5kf7XHv6KXEMamsWhw9I64p8Mug7MUJbibkrq72odS0n0xk2Sahci0kStrKcWz/8LspY8nzIZGtHiqIxwZyeHNOGwN65S+REUSWvKasWrxP2rl5kcXrKa994mZ3NMaPz2+R5StOWMm9ciVIGZVJu37nDj3/4ChujEXtbW8ynCyqV8/wnPk1e5JzuP+Tm7Ye4qgbb8tqrb3F0cITNc1765V/l/BOXKd54m3v37vLk1kVZsrG49Dh2d3yKP/ki+o80wvqfZ+ZgiMVaDxzevwt1S54XBAXz2YKyDQTlMamlqSuM87QhYJKUo+NTLjz9HLffeoudvW0yFfq4Zz2ZRyl86yiKgsTamLRKB95gMCDLMpxrVj/PqqgI9BIOVeysa9uauiyZHp+QJokcIM4R3MpcNAQBV3xsUUfJGbBcLtc63dZiKORMTKAHoNZZamfXbpqmNBEgS5SYOncGUlmqUFajEouLIIq1CUkixsfGKCleeoeBCA7L+mlbkSYTgNjjWkfTtigjsVGaS4dFmmWkaUoyFB8TCBSb21x84hl0kuLbhv1b73Bw6xa3br7LwYOHtFWNdy02kW6+ohixe+E8k60tzl+8SJanIjExnTKdzmjblvFYNEbRirFdFd67OEDHrhilE3QI2NSTFEU0MmrFJNaJHJvu9BNV1GHWWmLgLg6OJnxKi5yFb4U4oBKLMory+Ji7777D1aeelvsBfSKY5jlbu5e4e+smcCY3Obse+jP4Z3/t9kMF3mecEwutWkm8a6zFO2Fcq6jVLSaxMD09leJ362IHm+gJd2ZmkuMENre22D5/gep0yuz4AKXE5DGxVt4vRGmLNYBXDAcFrO1iu/Xuskc7clbdbOuSZ93rrcA/ImkrRIBTfqyua6ooeZAkCfMoB6d0l2M21E3Tz4+2bfnMZz/L7//e7/XyNFprTGIphkPSwYBPf/bn0MD9u3e5/e573Ll9G+9asjxjYzzkL77+NZbzOXmaoBIj7eEmwQVN2bR89guf4bvf/DpNU4MSo/cETZYPGY3GpFnOgwcPSBMrMmzxc/RAObL3dMB1iEQ3Hbsd6rrGty1pmvb6vk3b9nrdvbTjWvy+2q+iDm0sOHkXMFbWsA+hxwHm87kAxM71B4b3Xsy9XdsXF6qqYhllY4wxaGuiB5HmxRdf5MWPfpTf/53fwTU1o+GQLM9Is5ztvXOgDdaCi7jK+jnx2Cn/AWv4w0SIcjrQao/2hkDgwf0HZKMRP/zOd/j+V77CydF9fLWMOasmzXPJa+qG4/mMUFacHB1yw7c89dQ1hkkqOW3bEFyJ0gbvwQe10vhfP6tCQCFa3yF2NYfQUrUL0nzAaGMDdfeA6ckxg9E5jDW0yyUKaIOcX9Zm8ZdV7AaoCU0pajRK45oagme8Mebk7gF/9v/9pySqYZQa/CgXCQPv2H/vdX7pb32R51/4OH/+b36fQWFI84zcpBy982O++s7r7F5/mo9+7pfIx1vs373F0Hohm9CSJQWVkfu5rEtG9YK2guBbiswS2hrvAsomDIcD8skGw+GAe94xGgxplguatpY5i2W5WFDOZwyGY7Y2xjxx5TIPspTPfPYzHN69z+JkRkBR1o6rz32MdLSJb2u+85U/5uTebZ68epW7b77Kj7d22Lp4iZuvfB9TnbIsl5y/dJU8y5k9uI9ZHPOtP/x93nz1NX757/1dNrfPoXpplQgZRHC/68wE+u91Eo7y5b9ZvrhOaghhFQ463+LKeezUUGhtMTaTs3rNVG+dZLM+ftI89mz++1eNnwocfqQCHP/vvSc4hw8GpUWPBaWoYrtZ4qEY1ow2d/oATthxRB0jFe/W2gdAgArnXG8CpbUg/iEEVKyYQVwwHVuhA4hjgqg7ENVqdi+eZ//+fWbTKak14k6pA6/++Adsbu/w8U99ihDEbOnGO+8QgiJPErI04fh0Rtm0aJuSZYPoEr06aB/evy+BKLC3sdF/Tacprq5RLpBYQ5omBATA7drgO9aga0uGw7G0K8QWURVbCbqKZnA+VqpW7KwuYEQJO8IYhQlde78wf+u6Qesu+Y5VYb/SogL5WpalpHaD5XLJbHrK9PQ0GkslqDSgmpLl8UOU8gwnA0I7lIndtOzs7AqAniQk+YD9u3fZ3z9mlJcMspQkS5ktlyRpTl035E7YqVme4WwnRRAneseQ6/Sv4nOsqorlfE5dVgJCVQ1VKS64ZV0JUD8YsrGxQTEYsHP+PBeuXGFrd4diNCbLh9iswBuDimYlPUgGPei4Ph63oM4CxB+G4UKL86KDJhtjnDPBEVzNYjHlyrPP8tLOrgAba2uSIJIpddP0gHpdNwyKHOeisWDr0LklSbIeJNbaEKJIfFaksW3T9c+4qkpxcdYakAAtScQtXVpdbd8mJ4GvXI5RInWgOnA17uQ+6rtpOZIR8wcBh+u67o0gOqY5dM+X6Pa7+nc31tm3vb6wloqxsZq2fZQh0r1mz1Dtqspasf7CPeALvUkdPKpNrJQUhboCSX/N8XARkCc68Yaw2kt5TLUwvleXCMR/9EGyNjpWUGP7bNSzDV0etyLyEYjtiFahgsZ0brrGYJKErOtq8FLtlKTzUYDbRUkMpXWUl/HYNiEbFbgoH2PKElc3NK5FNw26bqjbho3NMW3r0K1nOV9wkp6yef68GFoRMMby4P4Ddi9cpAgBo4SJh/7pq6c/C+M7+yXfe+c+x67lxc2CX7+6wU6Uwe/aGUeb25Rty8AKuJ5tbrN16SpOae6+8yZWGZHRCXB8cIhWmmXjmM0X6Hj/BThqyQY5WT7AaEPThjjPG1CeRdvw+U/+HN/92p8TmpqqrMhSg2JlgtWd8906kCFO3pIgSnvzQAmo473M5V7jc22ehCAmrbhAcA11I4njtjW89f1v8N7bb/Clf/Sfcf7Jp0giWz14z833bnLv3fd46rmn2blwHh1MZG+s1sc6GxU+qAIfOD055GOf/gzjyS5333ob5T1NW7G5vUW5mDOfz7hz/4AsyTGq8w0wBGXEydlGp3idUnsotnbIBiMe3niN7Y2xtBJ6j3cVOjOEtsQoqKsFRgVM2rXTu35/WjfL8N5jjeHKlUuU5VJ8E7wA8iAJrlIpeZ6gLdR1xXQ64/R0xnK5ZHsrZZAlDEcFSkOaWppmyfL+bQaDggtPXWY0HEatNjEZbZ3neD6jrlqWdc0rr7/B5uYOn/niF1meHFPNT7hz820uPPM8T119huH2RXavPkdZLqjmp3z5938PXy6YtY4L164znuzwhV/7+9RNCXiUtmsFrMcnqX/TYP1/rfGXX2WA4GmWp2SZBaWZlxWYBFWXpFmC0RobAo7AaHePxXRGlpXsv3eT3clEjJyjTFJAQ3AroFcpkTVrWxKdCCPWeenSyUTOpwMce7BpbR12hUqtFMv4/FNrqMtSTOGMjmdL6E25CCJ3ExAvCK3CI/H56oyLwlY+crtCoCxLVBDW3NlztTtTq1LkIAQcMTjX9mcpKGyak40mVNMTjJGOo64QbEyCVoEsSaQY6luUtr0fgQDFoiWZFwOJrY0YEQUlHXzCADKMtnZFRskazl99CpKEEBynB/e5c+NtDh4ecPDwgNOjY4KT9v2wFGd1o4443N9nvDFh78JFisGQoEQ2rlwsaJuG6clUCrIKlJF7Yo0GvdIHDp2sVARctTaY2H0XgCzmS6r7GdV1Lkns1BUtlDJR3s73rEmlxKxYOhNqXvn6V5meHvPRT302FuPoY4qjg30mk82f+Hz98JzDHVgQ8xJY4doihomOMmeh9kKGUIGqWmKVdG92eteNE9kAa8WXwmhNVVUUWYKxhqPDQw4PDhnlA4ZFirES//Wawd5jFD2poANbOxDXmFVeuH6Wrf+7LzCuxaieVXwpsXhYiyMlDmyj6WEXS3fPP8syfAg0TSlrp23EJDeIUfvh8XEfD3TvPxgMUIlhNp/yr3/7X0IQlnGeZhRpRhqZdQbAO3RHAjECLDdBMV+WfOTFj3H5+pN89StfIdEWoy0qtqDnRUHbOqazQ5GOMKYHvDsph/gQH5F/S9JUSAmxUGQ6jed4FlVVJSBeu8oN0vRRXeEO9HVupf/eMbybRt67qmspPClFkiTi1zMecXx43HdehhAZxk1DWQpTVWtNi6NxrWhWK7h8+TK7u3v83r/4F2A0w0EhIGcQ76bheIwPiOG6848AmT8pWeLDSKowwaOxSM+mYmdnj3lV4dwh6sF9JiODHUykwN3lZwq81kxUYJCmbI0HLMuKk5NTUmtJU0XjHDqadUveJWvhLJFH8jYkR435tGtbArCc1jSt5/KlXcnfnGgMa+3wCrauXuf2228yyEy/JnsvJw/KSReRchCspV3OmN66wea4wCY5XnmsFY193zo2Fbz97a9z8PAhx3dvMc4STJahbUGWpqiq5sEbr3Ljjdf55Be+xLKa0Rm2WW1wTYNKCl76hb/N/t1bLOcVWE+aJtS1IygPVGitqG2GMQnl8SHN7IjyZICyhqMo+eddgOCYLxfsOUWSOp6+fo1nrl+hms04mlf80q/+Bhu7cr4Gm+IJ3H3zNd575XtcOC8yZHaQ89rX/pRk7zyv//DH+MUJRgd+5QsF96czTg6PqBYL6qpm/8abHNy/x3hjG2NSiTuUdLh6FDrGLPP5DIsjKwZxL+nZU/9B5qgQ12rx4nIeRY5Nioj5vX+N/q85fmrmsByOIarVgIqTVsieIjOQVENc1dBUDW3VMDs5ZWNvFwldY4uKMii6iR+ZxJFpBPFI1tLapLSGrsVZSZDke71Q0d/RSsA9uQqNtdDiyZKcpm44uHsHYzST0YDlck7rLcYbaB0sljx48y2WVcmirkmLHGsUzrd4F6irFtcKwNu6Vq5dCcM0ICZNy+WCJE2plguU0mxtb1Evl7ROtFRtmmBi8BiaGt2BL74lNQplLSa1aGv6QB0kOAD66mFw0bhiLaAnSMu3UiJ1YaIJibTYGIQp0EYQbyXaLUyQtq+Y1HWNsZp8UNC2LeVywXR6QjHMSHJpjVF1STU9RvmWrBigY6v//GSGzwqe+/RnuXvnDl++dZvz53a5e+s2czQqs2xsb9OWpZgQ6NhSj6LIsz6I6QA+hRIpDCca1CEE2rqmWpa4tsVoy3x+TFnWAtQZQzEYMNnYYntni83dbS5ducZgskE+HJLkOcakoAyYhKC6puzQ/79bgoHVRn8WQOhAre6ZfFiC3E5WoTtkWreUCnlwfP8732b//j6/8Cu/IsmPglXroHzuyXjM3t4ed2/M0Fr1GoXCPBIhf6UCITiga20VQ5hEW9JM2AQhSoX09zQmmMaoqMETgcYz93j9LsuVRdSyi1NichSCtJ2G0H1mH528mz5g64uDSkWQ5TGupGfes7um7pqh0/vWfTHjfeCSen8SdBaIOvvnWeZyU9ePvPb6fHxfBZG1vOUsSNxxx/sCyNrsV++f8/AoC2IdjJEYSrF+g7rks9OFXP8M6wdcBw50ASoKlFckXcthK2Ym/f7UNNRRbkIFMf8kKNhRtHVNWVcsZjP2b99lnKX4uuHB7Xts7myztbMjz8YoOkXn/5iH7V93/PM3plTDHbwe8NZdz7R6yH/10T1yiEUcxWCyzeb2Lu18QZLlZInl/rvvUM+X5GmOdw1tVVIvlyz8obB8fEuxvcXG9nlGk20OHt7nrR98h0FVkeclWZphk5R6vqSqG2ZNw7nr1/nBt17m9huv4sopVd1y4cIuSZ68j5HSPXtrbZ8whRjw6AAmOJSG2rEqHPeBcAcqKzzCSBYn8kDrRCtwZzxgWc35+r/9ff7OP/wnDLe2SWwKSnHh/Hle/qM/4k9+77f5lV/7Ep/9lS+RZXl/Xevj7FpZD+7btsXXLX/25T/kC1/6dTa2diiPD1guK5LEkiaGYjRi89p19k9POJzeZTgakBjDcDRivLmJC+Imjg5s7WwxnZZkbcvOhXMk+YBysaCpxfTPBMfs6BCjAolW6LW1Gf9GN4/XC7s+eJSGLE8xaRrbmqWQVhRZz+CsljOsTWibCmMVly+fZzIqyGyG8zU+eDY3x4xHQ+kAMeBcy2x+Ssf0r+qaGzduoY1lNpuT2JS9jW0GgwHvvf4abVNz/cUX+dQXvshoc7cHn5LBEFsMGW1u81v/9f8R19S4ELCDAdqkbGyf4/j4obiFa9XHJY9bsz3D7UMw1Jn9df3rPgR821DOTsmLjKpqIJ5ZRZqQJaKnSfTbWM4W+LphczyKhVaHDhpvpPvF40kjuPAIWOG6Vnfp0LGJRYqitr+u7sztWuI7wKNpGqpyJbPgXEvrNLptsdg4N2WuOu8xWlG3XiTJcD0g0bdHd+xFImMxJubBi9GS0VJwdNH7A2SOr3fUGCXx+AoYk0KsTRRJamjqSjR4I7MydNJrxooxVixyEjy+qftW/dZ5kiQVOYUYY4egaDrWdnxw1lhmU2E+7V28GNmAHldXHO8/ZHZywuGDh+w/3CdLLMPhkDxLcK4V6bOqZjabMZ/PWSwrLly+xHhjwmQyYnk6pZzNWS4WLOdzMdBLLHVRkKUJ2thH14P+AOmG+HdlXH9We1bmuX1xOgYBKnYRrkg2qmc0amNIFVHzeGXsGTrAw3u2z52njys+4JxdZ099OEaIRVjkT0SeLUSg3TmHNZY8y5mXSzFwDS3e5fhGGKaVl8417x11UxF5vYCAf94J6FMUBVobcpuiDWSZgDvdHE9sIjJ8UYKge4Y6xux9of+MFNkjLOHuU63FdaoDuaOMl9GrYkrbii9Ml/e0bRVB4qov8iiEjeu9xGzapDSN58KFC7zzxhs9ONq2LcuyxE1PwShUBM2D8yRaszEaC2Pdt9Ixi+R+bdvQGIVVmulshk5zFkspEA0HI4qioJ6d0qhAaFvQipPjUymORsZlVVXoWFhK83z9Rkj3Rld4qkS7m/58Dfg2oLIMEJ1X1ZEf4s90kiGdbM7KhNr3RbqqEhPKgKcsRd6uM5zrnsfp6anIisR4iXhfy7JkPp/HgpAUptIi6zspy+WSb7/8NYbDAUkue9dgMESnGbt759Emoe3038/sE2eL5R+4Ch6ZLx+OxdtG4E8pD1ja1rOze557b77GTpGh04QkKyIBx0tne/BUdUUWMoy2pD4wHBQkVqOVp20FANVKi9cWSoD3M7FjN5RaWRoGFTrCKopAGgJWhdh5YAhKpDZN0GAU1iislT3Hx5hvsSw5Op4yTFPyzNLUjmJnl/u33mMylO50ZS2pTQgeWgVJkZOkOdbMOHz7FZbLls1LuyhEUimgUXnC2EByOuPbf/pv+dV/8I94+/s/4PDOO4xSjdJgbcazH32BLDNU92+xXExZLhYoZRiNN1G6YxDJ3jSbnrB9+SpEfWYVFK5uKYYD6qpmtLHNw+M5m6NAVT4AAh7L+PJTnHv6I5KzTo/l+bjAu6+8Suo9g1HBtFpQjIaMhynzkxP+i//L/xUfAnfe+CHlySFv33yXIsvx1rI9GVG3miIvhLQRhNzhaLE2IwTdkwWt93z5d3+b6888zflrT7AoGy5evoaJJsmPpyT89WNRpcRH4Mabb3N6fMoLH/sMJu3Ol7BG0Ovmzl+99tbxqr/J+Ok1h0Nkg8VNtWOGVXWJtglpNiAbbUDrmZ8uCc7RVEuOHj6gKAZ9AIlSERRaCZx3h9v6Aae0Ent1rWMQCdqKVqzzHm0sBtH9CD7gGodBUzXiwBycw+ZprLQqnGtoW9sHRopANZ9jBgV5YjAkNHVD2TYsnaf2mnPXn6ZpWk5ORadxOBiymM+ZbGwym55Ky3OWkyQJSZpxcHhAkqSie5YIk0la6F3PkJA22paiKCjynNnshCzL+xb1IDv5+w77LnDvJkEXxK2SR/rvGRsZD30FspUn7kRzWLSHNR4xkhLwXTS0RsUAWkdbVsyPT7A2assqabtwSY3XmiTJ2D4/xCRHDIPi9PiE04d3+NTHX6JxYj54cnDI/aNjTpYlA6O5cPE8plV4J+BP0zSP4HMJCZ07V4gJxWI2ZzFfUJUVCiSoXiwJKMYbG4w3xuxduMDm9jb5YEAxGjHZ3iUbjNCJRVu7Mo3oGABrd2x9yZ0F7Na/vm4A9rif+VkdSZqTpFkE9rywP30A13Dx4iWefuYjbGxvy2HhO8LrCjhfLuZU5VLWS7mkbRqRJ/FSPQxBEvoOvDBWihQqBmeddIfM5y7AUHGz7QzPAvjwyP1fn+srpkMM0qPLscgyyEbaJZHee+q6pamlHauJBYYOSNFKx+slBsOSXHfGa904Ww2W62gfLRz4x2sArb/Out7t4+bV495rPdB43O+cfc8PAr0EhF39fs9qXqNju/6+h16fEd5/PQFhkRm9xrKPv3uWd79+Teuv0QGIwlZVGKUlkYoJl1KGoEQD0UYdVqM1BiXGoVY0o4aTEafTKeWypJ7PKWczfLPL8eExL3zqk8JcaxyYpAfq10GPD8s4KFt05klUIBjFj4+XLNtAnoAOAY/i4N49Ht69R54kuOBZLqaoINp+6XBMtZzLc0sSdIxQ/bJlfvcuh7fvcvm5F3j2pU/w9Edf4p0fv8J7b77K7OQYEzwERenh2vMf5+57Nzi8fZNz2wNaPxDJn7omSzVCIgyrWd+BC62Ao955nGtQKFovJlzBe4w2nM6XZBubtLMZqdE08fyWZ6Yj+zBglDAGQxB9zMJ4Zndv8j/+P/47Jhev8Bv/6T9msrFJnhf8k//mv+LrX/4jvvJv/oCT/QN+7R/+E5IsRQeN08KrJZ6bSvmY7MdWUwJNteTf/st/wfYoQ7dLmuWcay+8wOHtd2nKEqNBqYBKMz7187/In/3r38bXC5IsY//giMGi5JnREJOYqBGnCa5lY5SLBnnbUJ8c4l1DcK0YNQYFwaGMwYdHDcJUZJkSOsgsaiR2IKBzeNeC99IyrwXYUkqMUFw00Grrkr2tDZQxaCNgh5hvyev7ID+P8rHbou336dY5tApcvHAO7x07Wxui/46K+zoYXeCqmuXpnDQdYGNRslwuaFxga2cXrxTpcEIAARC9R2UJg/EYHaTrIDymuCaP7ENU4AmhLx6uSChn9m4EpHUAQdh4I53g65I0TePc9Ggd0KFBpaI96GLhxVox963aBpsPaetlBFeInTJtr9ebZZkwDtfA4w4gXu9a6YZzTvQ7fcC1EnNnySpt6ICRbqyADXk9a6UQvw5Ap7F44dvVmay0IjVWEuhWzvBYBulfswOHlRJDR6W1FBMj+JvnOVYrEo1IZcT3dNHwuQPKdTTWki6ogOtih/j5syzDJknP2GtaB9qS5gXBB9JoYlPO5yR5zs0b7/DE00+RDsdM9/dZnBwzOzlmdnxMCI6iGLG5OSGLcVKWpcxmC+bzuRh8Hh6irCEfDtjY3GY4HFDPZhw+fMh0OmU5L8mLnHK5JM8zdJL2wC9n9EPPxk5KKbzuiCMrQP5R7X0QwneXl6ykrzqALIRA3TSMtrajDMVqNG3D5u5ub2j47ys5/dkZYVXhidBuQAnBRIEymiTLCEHmYFUtpaO1Eb35wXAAQN024u0SpQGsTamrCo2XjqnYGZrbdCUfEq+groWhnpq874gFVuvHPN5fovt3l2eve9WsCm9xmwqhL8iHGNsbo/vYucs9uyLLdDqlqmucX2PIKhPPDzGvXS5FQ1s6TiLIqJBzxBpsnpFnUkxtypIQTSCTuEekmeTuVbXER/kOtJhQBqWYLxa0dS37oIa6XIKVAooPgbpuom9Jgg8OHT9Pr2fuQ2+QHNbOUheL2d4HkjWw1hjDxmTCbD4TFiewXFa97IRSok+cpmnsXGwiIUJ02AMrmRylRI+4k7no2B2dfMVyWXJ8ctqTKTot4yzPSfOcNE1Jk5TEWibDEaenJ3K+a8Xg3DlK59nY3qJqGlzQIi0R9+6/7vn5OFLKz+qoXIsORBAUkrzgyY98lPL4kMw1FMMhNhGSX9vUqGjMqIMYGdqI63a5TeukaOFijNb5p4QYy/bYDev5kuBknbRi34igNCHR4DTaGHSi+98Z5Bp1esDGIO09aAyK5aJGOTBBcdo4jmdzEmPYTBdkxmMLK4VDY4UNS4ONzB+lLXowIasWnJ4uaOoamw3QeEJTgzUEm+CsYTjcYOfiE+xefpKDu+9x9/UfUh7dw+O48d1vslws0cjazNIU13jatsYYS5oNcCqhaZY4b1AqJdCSKMXu3g5753Yktq4bibeDpm2jlr+2TKslFwYD8J47t29htaYYDjk9fMhidszCVdy7f4+LqaFpYXtvj+b2bf7d7/02WxcuMtRiTLc92qDIC5LCgkmoMRwcHHDh+jME7/nxt7/DG698hytXn6ANms//2t8Bm3H/vXdpTx7SHg2Y5wadDamXJ2TFFsoqYlAKPEoy6ZbTT7s0jDF4AxefeIq9y46gHQGHEpvTf+9V1J9m7f7U4HCQd+gR7I7B51xLkku1RcVAsq4r8EHc5qenFHmODwIKCzP4MYy9OLpA8GyyaRIrurtpSlNHjTDnwXuSLMWYRMCKUApNH48JIVbbBfzJizy2eDiyPBe94KpEAzaIOH6NZjDaZDQac+GJa2xtb9E2Da/98IecHh6iAsxOToAIltiERBuaZYVVhkQbdJC2L6/EvKBta4yOlecgn8/amKApKIocrQSYkU1mdWh1LCYJsFeaYzbqGqs1kLjTJFJKWo+yTNG2YvIjrS6uBwF9kHt37sIFjg4PaeuG4D3FcIBNLMtywWK5JJvPSROL1Qa8w9U1Lh7CGs1oY5PZdEpmNZcuXcBVDSjDzu4GDx8c8NGNbQyer//hv2U+nWL0GD0cUkeNN5tYTGr6YL5jhAfvaZtGAKCyhqCYTmcsljO00Zy7cJGr159kOB4xmIwZbW1hk5Q0LUiKgQTSKrYGrabRo3M6MgH6qtBPuIA+LIckEIMejWjH6kdAg8n2NsoIA1zF/aiHeeNHvH/nLovpVLSfnaMslwyHOd57yrKKhm5eCj62M3+RAkXsYIyX8WgS05lrrVFYHtFME7DX9/NeSC6xlTXIM/OSKfUMcxe19pqmibq3oju4XC779RE0GOQzd59WrlnHYHmdh3v2Xj4K6BITr/7frALzVeHv0RZZ1r6+3sr7QeOsZvHZ+7heYFOxm+BxrLvVv3Vf5EMJgN9J9chlhEeeWQfkBs7oFq+zEbqvrV3XX/bZu71Nd/cpSHshIZr3aTEfscHirFvtZ2lKkzYUg4JiWERNOGGh+ABbO7voxFCXolmcpvkj17H+fD4MozCaxioCDq0cRSrgBkET5E5xenxI3QbyQYIyFq0EMGnahiLPqB+UKCDJHGmWY6PxY1bkVMsld197hde/9z2uPfcCH/+FX+alz36e5XzG8f4+09NjJlvbmCTnG3/6x+wMC7a2tlE2geBJrMZ58QEQ9Y54b/UKHE6s6RNNMX3RsUBjpOUazXCyydHplIX3JMWYppyT2o6ZrzEGvDIsFhWJDqRW4/AMc03pGw5uvMZ3X/5Tfuk/+QdS+NGWn//il7h2/Ul+71/8//jmV/6Iz3/pPwFl6DMxpMNAG0Vwjns33+XHr3yXxckh9955l8XhfaZbG5jBkDu332U3SFxjraYpl9gkYXdjj+nhIeNBRrY5RlvLaDxme3sLoyRGMloC9gAE1+C8F2A5BEFmiAyuCLwE70XTUq+SBqnXSME1xD3Phw7IiRJRSiSretYYssd2RTkgbsYd0ByVzjTCWEHhvYDOTRAjsraN8V4Qsx8BESw2KXr5qrTIpKsr7vfewbvfexmbF+TFiHt37/HezfdQScbnfuULnL96je3zV0Eb7t++TYZmuDFiNj8lPzfotd7WR1g7HzpG1s/66KSqVJwHj9vjldaYrCBpKpROsE1ANw2qSFBeZFeMMRKrRXKBMRqUdN7F3VyKLnVDpnT0ZKhpg+/PNWttLORGybUI6DxSyuz26vjvqizXQBNiC7zMybpu1sAig9aGtm0IweMCqOCl8KdXoKH3TpiATYNdk2wyJunb7AliLmmNBYKsFQJWG7rWate2+HguaRRpNKAzibRa48FoS6eLVIzHhLaJcnUtXlmsc9giw7u25+SfPReyLCPNpOdRmMTieK68p8gM06N9Nra2ee/muzzx5DMc3L/L7PiYclmyKAWkL4qMLEsYDnIBf6x6BOgum5bTo2P27z1gYzLCakjyjLwQs966bqirWiSWyoo0z9HW0EnOfVDU0MUL4va+dmbHve+RGCbGTR1Q1bYO77ycoa3HZglpnrOxtbWa2yEQgmd2esJ4vCGyG+tz/zGxgKyJbrJ9mMbaXVYAnhCkmO2B0WTM/h2HsklvgEZce1KYCb0s0Po+VmQZ41GnEy0xj/eO5bKhaTSDomCQphITRV1fImO069IKIWCitn8X364XbLqiSPf3dd3hbh6ud/d01wZQ103//LpiifcyP/rX8K43bEzSNILJwhSez+e9/EXTiJmdw4MKBO+YHh8zjQBtnqSylvOc5nSKMprGBza3NhiORjR1TZamzBYlo7Hl8OED/sU/+6ckSkgDy7KWDkakcLysasabG1SLOVlqca6NOYTuc2nvfU+M6CQknHM00STbOYdG0fi6f/ht1GjvCm9tW1PXNYPBgDzP+xykaRxZLCQ511JXdSTLRKBXiw57V+DTSE7T3ef5fE4b9Y6ttSzLkiRJBRjOcjyBnd1d2qpBK8XmZMxiMSe1Q+q64tK1J8TA3nmMTVHmcXnATz66+/WhyXsVCPvSgAoYK11UexfP0ew/INDim4bgHLgWh8hzKe0JeJx3vReM0ioav3ZxlOnnkFJKzjsrrG6FjnFdIPhGPKN07IoPuo/FQlB9QS1erKyVAEarWGAQ4BkfollrICsyHhzPSUcbHD24C66hGBbSDWRSvPIEX+O6/K4Nvea3NZbRxgaN1wyDOJfoJBEZxtZRO/jcL/9tdFqg8Gzs7fLwRiIETOepyiO0SanbQFNWTE9nWGUYDFIGg5xkPEahmM8X1HXF/bff5CMf/xiuXNK0FQf7+1y8cpXBZIhSip0mcPDwAecvXmSxXDDxBcfvvsuDu7e5eOUaqm348be+xXI+5ejBfZrGc3h4jHeO3ViQ3Dt/gWJZo+bHqNSQWtg/uEeS5Xzmb/0q5596ns29S+jExlwdwLO8d5OXv/vnTM5f5aVf+HlGY817r/+IYWaZbAyhnFMdH/PV73ybZz7zy1x/5mlhoq8RnVZnKI+caX8VWLx+9moMg9EWHk85O1lhIkQMZgWQ/PWWwVox8KcZPz1zGKmadmCOQg4q71qW8zkmH3B6dMD0YB8XddC88zRlRbNckqRF1CY2sWInYLGPzMPgV7dhbSuTP6KWheiBDVmaimV1xGw6QwfP4qDi8pNP8pEXXhCW6XLB/oP7nB4dYFwr+pjG4J1nNBpjjWExn9PU4NpA62BaV3zy85/jwpVr3Hjjbd780asc3L0LWjEYDbl8+RKj4ZD9+w/wKm4sa21WWivyjp2hVASBJbDGe+raYfKMYnOL+dGRtNu4ljRLyYs8Mjriga91j9B5J+CM7ejtPbNar4J8rSXhowsQVswQa4nJeY1zwpJ0LqC93P/lbEZiTc+mCiFQ5EN0aljOpcUtzTKSNEU3LToRUFm02sRUbDIeM0gS6smYpqpxTc2GHzHZ3eP68x/nG1/5Yy5cuMBiPuX05ITBIEdn4sBsk4SOvali8OVbCYqX8yXeebwPnJycsljMCT6wc+4cV65d4+KVyxTjETbNyEYjkixH6UScHpVlXVt4hUTGWXUWLArhka/J7Xg8m/VDNxSoILxhVGSQKMXG5jbvvvMWx4dHXLh4hWI0fl/w7mPLpwvSJZBaQ5pmmCTpCx7d6ABKYzXarFxuu22j+5kA4vobq6/eebyLnQVBDDjWzdu6YFTmiet5xyLPEpkusdrv2i5wa2MAKP9161LFa2hcS57kSDODMIi7+dclUI+yhn2s6q3ru3X3V/WAq+iqrubdXxaMrQdcHVDsZXJK00QHRsek3sX90Fr7Po3i+GaEsN5GuGp7We9EWP98/oxcSojvT582x0KSkk4IuQcQL7R/7fVxljXcvzady29kb0fgS15fR4aFtEi7ICw0o0WvzhpDg7T15jbBosnSlGyQkwxSBpsT9i5dJmBYzk8hmGhS9qiW7YdpfHJH82rTUCk4n9T84yf2GNkWghWsKDIVBpMJi6rEozC+wXhH4wLaFpTLEh0C9bJkpqYkRU5RiMlZkiRkWU52fMK9V/6CG699j429i1x/9gWuPPkMV559AWNFEumlz/8ib3zrG0xqR2ZT0URsW7xvMIntgSS6ORLvtSShck7Vdd13AcnadIwGGYuH9xgUKYsmULcNqRH2OLHbA2QmFuMJzexUQDGjSbTo7Gc64c1vf5VrTz/L1Week0RdJ1x56hn+0X/5X/M//dP/gQtXrnL9+RcFCFWr83H/3h3+9Pf+Fbd+/D3wlQBB3rKxtc32k0+yd+k8d2+8zd0f/QibZiRWwCKTppg848ff/z47kwmg2NzcRKsodbW2BoL3KwBKa1RwUQJnldT361Nr1Pq/EcBYzGTbaMwZdd21Ek1l70V2KsYAsXT2yJnV7aFN05CkySP7R5ewdDGdoBUGr1pMlqKtYSPLqaoSN53TKistkcZTLuY96GDTjDzLaZcLlicPWeQ5G3lBuzXAWIs7usu+L8msZbC9x72bb/HtL3+Zlz75Ca4//TRuZ6cvEoW14lP3OVb71H/wpfc3HlJ4pgddu691QxMIOuXCky9wfPcGs+NjtG2wiUgjBKcIrQCKKCPMcNlBsUZjtImxs2XY62pqFlXLovakNpBqRZakog8MJIloG6/r6YPcX+fkPO7WaTcUnfmrFH98CFStp6xrJkWBjfonWsv8SqxFuUY6Bdf2XaXi+0dAsjvvXCus9yJLWZTLnsyQJEmUbVvikPkfnOjdr4rIGmsTIVokibRRt43EH0qR5UNahST4QViWm+f2qOdTcZ7Swmzvnk3btriw6q7xIeBcQ1WWYrrTAe3FgGExoG1a0vGY6eFDZsdHHB8cMp8vKKuKYSHazjYxJFlKnueMxuN+HqdpwvHJjLZuODk45PDBiEsXL6C0Jk2zHqBqG5Fccm0jjOskkXbbGMv4WGTtn9cja2Y1FyX2kTZaWNt7Quh9GTofheVySblc4rxnc3OTpChiN2J/t1jMprR1I7rOrOKf9Wt433qIReYP41i/auWlq6b1MJ5s9v44SZJS1w02SSnbZZRlaNEKEqMpY0gVQkBZQ+0ceZKJVq/3VKGiKJK+SCiSDibqwSeMNyYcn56InGMnv+BWQFUXF3ZjXVKij/16EohiY2uLtqlZTKe0TSvfQ3Ix0PhYKPCRtFOVFa2XotBiWVJHSaSAoapayrKhqsW4TswihblP1N11rZBInJe81hpD3TTgRO5Q1y3FYMDVJ67S1DU6iJntvDxlfjqlccLenx4dkmc5i8UM5Vt0CMzLimKoqaqa1rUU2S7To5KllVw8xEJzpycMwhbtchRrE+qqiXIRC5IkZVGLaZk1IqnUNC2BFWEFFNYa6rqKzPuVqe58sYgscI2xYrSslKaqS1on2sjay/pt2hbftpRlybIsKcuKgKKqG2GtGvFwUUE6qPI0IzjHaDwSacfTE7JhwWAyYfvcBa4+9QxeWTqZv7PyImdN6T4ofl/vBvgwxc65tngCJgjApoInSxOMNpR1hceDic8x6gf7IMCwFFqExR65MpFNH8STRz+a24j4WYxNgsjwGK0wOpG57gKY1XyBs/GL7NNdIVipNYNYIOiADw0mkT3k8t42Dx/sU1ZL8aXQiDSCkY5ao0SWS2mL85AWOdWyIjGWfFTQeM/R0QmOlqwo2BgKZrOcTnlw822SNGd2sk+5OOX04V20c/FMDqhQkRIgyXB+xrKquHv3Hk9cu0LZ3MfrhDaAnmzTnt7l4M4t9na3CcaitaWczckGBTZ6DP3Jn73Mb/ydLzEsRpycHgNBjGa14Uff+zrv/eA7XHjiCV78+Md465UfcHp8xMn+IRrP3t4FyqZklOX41jM7mTGtFty5cw+bF3xh7zKbl66jtEXR0mFxg9GQm++8zWBoeeZzP08xmnBw9za33nqVJ69dICgDwXP08D6Ja9jcGPL2Kz/k+gsvSj4Sn1p3fp7tOO6e6Xr+LLkaq2ffFRGVmBrSOnw0Fe5GJ0OyjludHY+LKx83/oOCw32VupvVCjpHzuA9ZbUgn9TYNGE2X5AnmZhFQF9hnmxaTGJIi5z59DSyiOg/t9aa7d1dDh4+XJkwKSUHU4irXMuGubm1xcP9BwyKHKM1w/GY8nTKd//8a2SjAdefe5Yv/tzf4/jokO9+4xtMD47QLSQ6lYq4Ea3LtHZceuZpzl++wt33bvNw/5Af/vhVQlljYgAegseVC26/e4PReIONzU3mp1OUc1LVV3JYBufWjDpWVfkQACcV149/8jPUTcX3Xn4ZawxlW7G5MSHN04gzr4M9wiDuXFGFpWwhAsIoaYvvbqEyHci5Anq6ySYGX7pv0WtbH5ldHp0YUpX0YFrdSMU4TVLMSFihx6cnYA1OW0gyrAdNNABzDmst+XhM0g5wPtBWS6rljPGFLZxr2NmaEJ59mjdfexWCJ0sSrImrJKxaYLtKq4vV6KZuWCyWLJdLprMpIQQ2Njc5d/ECo80NsuGAwXiDtBigbUrQJrZx6NXE6nfiNTCLtQNwfY6fATq7P98HwvHTL7j/aKOfh1FOZe1zam2YjMfceOcGFy9fYb000+Hlo/GYk3v3AaloWtWZ18jrJWa1oXUOuijeF1T42L7cxHnWtA1tI87a3jmcIxqjrLXmhCBzPG6QWnd6xfTvIa07kSERVF/V76r4HRu9Yxcn1kYAO0qOhLNM20cTrUfnxQd/r1tv3brvxnpg9v75E9d5D4Z3qZcc7j62cnv6H5V7udYiuHKaXj3TxxUyzjJKHjevzwKofQBkuuLNiknM2nuur6WwPr+UWut6WLGFu31x9fsK10gAj2L13JoWV7cCIMRilIv3KXhP3bRM53OcNpx/4ho6ygidHB0xHm3FG/n+wPbDEuj+Z89sUI+2WVaO7VHKZa3xQaQVNB4VoKlqyqNjqmrJw+WCQZ4wzgsWjWcnaBqTMj89jfp+irxucFXDaLKByQwqNYy2N7Fpwnx6zOz2Db7x5qt8VRmuPPdRvvT3f4t8ssEv/sZvEpzn1g+/y66BvMh7kLVp274NLgjXbrWugKZea+dcmzcgcyQzok02TIXFbrSBIAWkrvVdBwi+JhvkUkwIToJhbVBpilUL/t3/+P9m+6kX+MLf/c2YtFt2LlzixU9+hn/3P/82W7s7bO9eRswX5f3zYkiW51y8fJnlcs5oa5snP/4Zrj75LEWR860//UOmDx4yHA2xiRFTTK/Y2NykTQsG2pClGldX1OVctBfT5JE9DC9yFf1nRjRg1zsBurOPoOOeJ8ysgCc40SCvq0rOfWvRNgFt0EqkK3pQWT16j5VarWsfAsbajrAszyoWthSSyByfHDOfL+JiFkksaxOOIhO8bFrS8Tahrbm4u8l4Y1M8F5qa4WiL2jkOD2cc3T/m/PkddDDs7myhtGL/3i2yk0OqkyM2r1zFzx6i6xm33nqVB+/d5Op7d/jYL/0KJi3o2LaPO3s/DOMvv1rV/z8pxmxdepravUk9PwalxHwqBPzCR+DCEnQ0ILS2lzPS0hzanwF1VVG1DaPtHeqTfbK0EPOizpgJiePX12K3166vzVUxjUeSIR+E1W4TS2Es663S4vweIktPWsy786JjL3cyEvhVYdRaSzHImM2WaCXdRx3jUKQgpAjiYwu7MSs2fZ5lWKtJsyQaMFdoLd0T1moxyyKQpyk4T+tapsf75DYhVBU6dj94ZyMQ7GiraqWTbhK0lvWVWJGbOJ2fMPKQZjnVYsGF60/yw298nZN795jPTplGoC2ZjHpDsjTLyIpcyBrGMB1NmU7nBDRHR8csFnPu3r6DbxpG4yHERLFjfratFOjbtsV6HxuoBOVTrJ3TZ89uRN9VKYVv2hWA25nPetG4bmIXn3fSDn9ycsJ8viBNU4bDIZOtHdK86F+3rUse3r3DxctXxbgu/ARrtI9fPiTrWEUiwPqZFWMX4x0oSyAhSQsIUrBXaJIkR4WaxLYsWYjvjDX42pHZhDaITIcUEC2DwYDMJkDAGMSQMYK/ATCJMF/ruuTk2GFTkUnorqvzwVk3fOzmb2cQvc5W786j4D3HBwer1vhoPheiOaNvpSDjWk/buEgJUJRVRds6mtaDiBjhvGM2W7JcLAXQXutgccGjo7SFUobg5Z4ak1DXtcgdWIunxaNYLCtef/0NUmspshSjRBYySaxIS4VAWy5Z1GJObuJ7BaWp61bOVee4e/sWEFguiV0Lqw60rgOlqqXDTDogEvG5cU6kQVwnhyFFOe+hNZ40FQDeeMlHpJDWAYoSV7Sto/WB1nmcC9FsO4umdglpPhC2fuNo2laeb7lkWS5ondyvpnVorUiyXPawLGWQF+RZTpEPAEXTNphBys7Fc9RVhR0M2LlwGWyOUgYdsQDfelxwjxBdznpE9NN+LW45m+OsFx5+loclAqtKyANeBY4P7mO1+MyI8Z/MiyZEzwu/IsuAkngqFj2JRVGJQf0ql9Fi/tdps2stzOEQ4zAXC50dJiMjRLzjUYlFrYR2tH6eEs85OTsd4EgSzeWLe1iraX2NSUe9NKcG0Ia2amh8STYa0njxJwhK5tLbr79NWi+5dv0Sw2FBUDI36uWUoxuvcuuNH7O1UYjcGdA4iei1UvhWjOXzdMC5vR2W8yWZsbxz6z4Xr12hradCFi0bTg6PmR/dw/AMaWJJU4tSnuAdi9NTVJLz6c//Em+/fZvrVy9APmS0e4l0MGF2csgPvvpl9jYmIrXiWiZbm6RWc/DgIYvZguV4SZZaymrJ6eGMaVlz7aWX+LmdJ3juox/jypPPyvnnG6r5KTqV8/fd118jAT762V/l57/4G1SzOd/96pcZ5paNzS0BwnXCyfExm5ef5Jtf+WNO7j1k7+oV2qrm5huvkuY5l595nvF4o3+qvRDQWtodOhBYegHPeDpFaAbPbHrC6fExg+EmwSrMGsYhxL73z/EPymkfn/v/dGfuX4s5vIZ/R9BAtEUX8xnbeIajCTvnzrM8PQUdULHPxgdHUy+wWc5kc4P9+w9onRw6IYrABwIHDx7Ih1z7gNZadJ5I9SNJWCxLjk9PyPMc40MEfxzGeazW1KcnvPqd7/Lg4T5f+NKX+OLf/U3eeu0Nbt14F1/Omc1OCY1jWAx46uPPsrO3y2s/+AGnDw+l4unbXpMveCfVGSXgbLWY05TlqrqqFa13okm2rNEqAhwhcP7CBe7euSMOwIhJ3A++9U3quiQxCh8ceWY5d25bNH11pyMoYvrEQ6Zum56t1wXFHfOuM/HrnouwHx81JVixLtcDuJa2hSRZgahdQN5rVClxUD4+OWFRlgRzSjHZIh+OCUpLhZiEPJO2viTL0BnQOkySoNKUwXiTk8MDJqMh7fYWO3u7JMaQWCt6btAXEZRasU9aD2VZU1cNVVXTOAlsd3Z32dzZYrQ1Ih8NSIuCtBihbSpsMWWi4Uh3W8JK27urxDxuVodH2T2PYxmepeh/mJLV7prn8zmDouiTChRsbu8yOTwUVlr/G91cCeyeP8+D925THR32JoBJmvbgQmLFoK5rMZUgObJUEL3R1nnqpqauaqq6Eg3SpqVtGwloA9SNmJusGLwSxGRZhovBcq9T3j2vtWcgQY+wibsWyU5vUaHi71tcIzqOxljaqsHmaQzsTB84da939pl3X1//exfEnwW1P4hp3n8trOZb8BJguNZJuz1gEo3VkTGmO73l97Nz1oOJdcC5u4dd0eXR78tIs4yqLN/3uSTJoP8vhFjI6e5Ld+StMZ9VWHGC1jXuelakMT2De51J2XUMOCdf89GAqW0a2roWvcvWsVyWtN7jQqCsaxrnSdKMcxcv87d+4++RbW7iI/v4cP+A4WDyyHN6XOHnZ30MTcr1YQEDCDFC0HQPRYNqmJ+e4KoFw8RQN5ZaWebKcP7ppziazrn89EvsXbmETVIO797j1e9+nVAuIDgmOzsRyHGkeY5J90gHS4blgtliwd0ff5//6d4D/jf/h/+WweYmf+s3f4uvpilvf/frjJcpxlpskmC1wqiAwqGUFyOXHiwWZkTrvMgZIXGBzItO43xV6AxmJaeANj0rSyFBkhRfFGAIOkiXCIpiNCZpGuY3X+df/z//O7YvP8HP/+1fZ7S9x6e/8LcIbc2f/O7v8OxLn+TClats7+6hrWUwGfP3/vP/PdPjA+7dvo0Lniefe4H50RF/9j//Nvu3bjAcDjFJgsWLhEKayrlVTiXJK5F7oDVKiW6YLB4NKrJOIlMeJB4KPqAjpUApCRw9EjwrD8E5WtfifCPPyMHtuw9JiwHGCJMsMwKid22DRkt3iPNiDprlucwbBSoopvM5i6rBKs2wSEgS0X7rGPZNU1M3NYvWoW3CIE3wTUPZSFuzMobNy9fY2TvPwwf3uX8y5fDolCtPPsnWhasMxlscPrxPUJbx7jmCTciHI5rTA7LRmPsPDkj0KZunc175i2+ytTnmYy89z92HB8xPDvnGn/xbssmY5z/9eaQY+PhC14dk+fZmVo8b8i1h5JgsZzDZxFUz0bY1Gb5tpJBJPCMUgJNf1FFaSSlsXC/C/IVRltDMjhnmGTZKPggoGJNaH8SBXElBpjMwhJU+6foZ5lyn1d6x9YUFaPqHoPvk1qtOz9sT4t7fxQRtW69ArDXt/sEwp21aKQYg5I88X2e7BQmJTTQDUpITJEmCVgFtRYsTFCayurrPoQikSUKaWIIFk46p56foQnT9rBK5OmOSWHQUmRbn47611hmIF3Oeuq3lfKprYdc7RxaNAMuyZjZdAPRt5dYmZIOCJMuwVsDibFCQFqc00dBtOptxenSCQVGXFTbKzTkf8L6ldQ2tb3sztM6AO/iVl8HjYtagVE+0CVKhoiP0dGxQ3zS4psU56bqaTmecnsxoXcvG5oRiOOLiE0+JoR8QvOPue++S5xlJmgmI+pfE1murQbrMPiyLd208el9jO7kXD4s0TXvGfFEUlJG52q2ZqqqipnCc83G/dq7FRENuydm8mFOFQJamhCDyMCjRwu46RvtiUYzp1osDsIq9up85K9XWjW6NtF7y5m6ttlEqQlj9Ig/RF+uDdLUGK/lrVdVUVU1Z1Siladum36/XJdNWJAZo20b0f+sapVjJPIRAU5YUeSFGfc4LWObF3E+hMEnG6XRGliV9nosidhiUNK3IeAg4DTZJ0FqT5zmn06mAtT6gW8knyuUSaxMhHjhhF3onslxl2cYYuvPK0LGIYoQtbw2udVJA9cLwFhmIhLqJBZ0A2licDyyXItPjvBjrOuep6oaqFsM87xqqqonFW7lfNkkYjUb4ELDWMMgLkXckkGcJJrW0ywXHsxnFeMz5i5fY3TuHUzquyyjNhUgbrBfkurl0dqznCuu5xoclZgaEEBLDxBDAoUhsxnQxY3xuF6O14CrOEcolhmi22ipmpRhHJjowzBK6Jm4VUTq5F9Ggda2437oGS5RS7GPB1b4sOJfIqqA6ApsU6nyME9q2kc66sEbkIhaeFJi2xfuATQ3nzp+nbkpslhPQEASv0jahqmpuv3eLc+fPMd7awZULGies6Cu7W2yNr5IWGSK5ISzrrMhJkwSdaIJz6NjNKfr8hnfeeYfRcMhkPCbUNXmRo0LANyX2tCGUMzaLAmNHuKFjZC1v37rN/uGUPEsohiNS34J3tAE2RiMunRtx/Yu/zJ1b97l4+RovfubzeG344bdfpp4vSPfO0ZQlTbVEKygGBXmRU7XiK7BclOzvH1JFsuPtt17nmU98ho3z5ymbimGSMDs45L0ff4Pxzh4nh8e89o0/4eJzH+Hz/+B/R0Dzxl98A+trnnv+BYnDTUKYbNAqy62bN2irBS995CMs99/jx9/5Lid3b3Nyekr9K7/KUx//NFkxlo71OPVC/5cYt8Xu6rYpMSbtYwp5vvKMJxub5FlGtVySjtekoOLr/GQjFrb0+2XXQvjp8Kq/Hjh8hkCntEZbQ9tWHB0eMJxscbB/gMGTJhbnQmzDCDTLEnygXCxJbYIvBjT1qbjJS3mlB0qkcBOrXiGIfpqVw8ymCZ/5zCd5cO8e85MTpkcn0t6qu43aYJzn4OZNvvw//wGf+LnP8eSzz/D8Sy/S1CVVuWR6dMS9W+/x4M5N3n3jx7hFTZKkOOWxJqVxjuAColmrRGsNiMbIchhrhVKGRFsuXrvGrdffIrFWWgzQLOZziiLHt4GGgFWIDrIVUX+tAns7O4wno1j9hC7K6th3Lni0Ff00FcEx3RkWdJsOncTHymQgSVPaDhhbA7l6gFiDMSEeYKv2M5lI8jpl2+K8J81y5ssS72E+m5IPCvJ8wHAywbs1zUSklcJkhmAqSQKaChsrVkmeM97cZHlywtHREaPJWJhIZUmWFzHgkg10MV9SlTUhQLksefjwIUmSMNnY4MLlK2zt7bG1d57BeANtLTqxovHsu/YMTQguAqArTeH1w24dyDvbZvk4APjDCAp3owvU8piwmK6CHEQr6eLFi9y/e4/rw7Ho9cURgGAMz7z0UUxmOdjfZ7QxocjzCGoIayDRti8uyL2NDupetOyaVoyWtE1J0Bzu71MtlsKE0WLaoJWiquveJKLXPiurvs2mD4i764e+SKKNtJR1LbHCJBaQpdtL0lSE9LUxfctcV+0XdsCafu9jnv26DugjYGP80S74Wv+ZdTO6Rww4nRR/yrJksRCjgNZJ65k2Fq0Ug2JAVmQkqeg9dqYyK8bto4UM+bPrHOgKQgHwPaukA4hDCJTRNOSsVl3Xsih7sgALj1QmI3O3u44+yXS+NwEUDUp613jW1pzWWuRktO3dsCGa4yFs2M4JvW4akSdqWqqqonVOihQ+UBRDVJLy8PCEK5s72BhgvfnGGzz37EdjkeKD1/LP/oh7V1fJAYjgqjRdKIZbWwQrhiPj4ZCD6ZwH0xlvv3ebi1ee4EcH+1C3PPvSS3zi85/n2rP/JV/9N/+a8vgB6uSEjY1NaZtsWnxTkSQWZcak+RDjDzh6eI/f/x//Of/gv/pvMWnOL/76b3LhyjW+8Sd/yOGdW2yPCvZ2d6mbGq1DD3j181LF9alUv97g0bm7Wlce71cdLyG25QoIJu3LXXGo0QbVOhIVMFpRBwDDyOSEtqW5d4Mv//P/F5O9C1x66iNcuHSO04d3ePNrX+FVD8PNDbbOnSPPBywXM9Ik4cabb0BT880/+F2oG4ZFwmSYkaZJPLPj2sWBChLj9D4AsVikVgWZLqbpOh5WhpAGghO9WKVpA8yX0rKLVujQMp0t2blwkcNb73JyfIwxlp29cyiTMJ2eUpZLKTQniXRBJRJTKDSuaQltw+b2NulwxKwsyY0RaYrWsQwN9XLOOMsxw5wkMRgCRW7xLsPh8TbFpilFsQc2JS8KNiYTqkbMhj72mU/TLJd87+WXeeNHP+bc4T5XnnueyWTC7OSY5XTK9WefZmN3l/uzE8rGURQDjg6OMVnGvbsHhCYQGsXxwwekgw28C9x8802e/8TnULaTKnl0RTzuaz+L46+6xC42kXPUkw+GzE2CtZ4QTdm0MdDpgQaFVgbn274wa/ouHZCvSFdWakM8F6WrxnsBjgOAXyWjvo9piExdOa8f0SZdA3JNNJl1+Gh8FxNlr2PHgEKrVbwh68b0xkodiB20gD3d/uBcoHXSIZPlOUlq+7O0OzOTxPakCEX07NCBoiiwNonaqirmAPLzWWpJkpQkSWjaFrIEyzCywDq9Ud37DzjXCuMrSLunDytzNtcqjDIkie1bPk2ScHD/nlyjFr3TpmnJsow8zxkMCvJc9g+b2MhYk+7JrCjI0oyDg0MePHjIYipGy957kkT3RdQ8S8T4USuRnjMG1uL59fP/fTHqI+ecEHBEnsOJzmRVUy6XohXrBMicns6o6pZiNGJja5uNcxfYPn8psmjh5GCfcj7jwnPP98X5Hqj7y0Z3bR+GxfvIeLQwfjaHAFmnzjmqWtimRhvSoXSaTMYTmqbl4f4h09mC4Npo2Bgl12LO5qP+bhKZ8y5K7vXxUQ8Gq349dQBVkiT9mnXOUQyHzGczEmsfue4QRIM0ON+zQNMkEXNHVnFgCKE3hlRK2LFt20ZgU+QU67qmLEVaomnaWAAVCQYfpc3ELC6Jd0+Y70m66ioSWUrpSDHakmfiD5KkkuNKRxK4uhUz6WhYuSyX/d6S+IRlWaK1JstyvA/9/WiaFqUSTqczias70BNF03iybCDGcUZTN438fuyCEq8D1ec1fu3+Odf2sSpBobVgHU3jcK6haR15njNflNDtH85htBYSiJO4tuuilNvjMXEfs0lCmmakaUrwnsFgSJqmJMZijey5Skv3lLUGk2ZcvHyN608+A5G4pq3qi+/+MXO2e991oLj7b11Td93v5MOi90/0UJAzz6MVnDx8yDhNKI8PQCuUkgKfqx2Va2maCoUis5ZgDVlio1a9mJeu9ttuNnfHd+yodC1euAAkSbK6lA7ojSQAAY917IgXgot4Zcl1EotK3e8CIsfW6/tHOU+r2RxuyLkd8+c2ntX5YMBoNOLB/QdUZUmqFaXzmCQnpcH7Bh9SVOtxtBTDAagdkjTFKHB1HYkNGmvFYJEgEjpZnqOCp3HSxZAOh1x+4gnybECW5mAU1XKBOw0UgxFl5QlKczo/xOwOKGwKNsHhKNqWH3392/z6f/HfMNjaxgXFg1vvsDnKSYcDfvj97/HUM88wHBXgG2yi2drbls4LrZifLjg5OebJ555FeY/2nle++mX+2f/wP/DLv/iLPPuZn+e5T3ycyfk9Xn35axzcvsW1a9d46W//fZLhhDe+8TUOb77JxUvnMUkCzvPw3j3ODye8d+sOF3Ym7F3YJRkW3PzRD7j1yne4uLfLEsfr3/kG5y9dwJy/js1yCJEctZ5nInlyMz/hlb/4Nk89+xE29i6hrO0ZxCoo0Akm9Rwf3GV3mIN6Pzz7VxdoRHLxcT/z02JWPzU4fPbiPICWYCmzljs33+Pp5ydcuHaNo3t3UK4FbYQt5AJ106K0oaoq6mqJb6QFxIUVyw1FXz3tQglBsDTjrU0ePniI94Hvf+cvSK2lLpckWUrrYmsAWpiGdUMoS26/9QbvvvkG480txhsbpKmhXMyp5guSmLRmJqXJo4mbF9baZDRkPp33Gk7S5iqHivfRBESDUYokzTl8+BCdRCO5IKxj1zrSJKNVLUqDi61ishnLIby1vYVJ077CH0KI7AhJApyTRWmtEaaE1iv9t17HRq8gkFitaNt2xbJce35KiUaSc8IUkvw1vnesZoUgOlbWGBrfkmaWvMioyyXT4yMGRSaGIxry4QjftpAm0cE3hn7GkuicpqnJ8gzckHIk7bvvvvkWoW0ZjsZScbYS/BptollgTVNXtG3DYr5kOl/gg2I42WC8scnG9g7j7R0G4wk2y8BmBG36ZFxHkKHTQYuZ+ioZW5vLH8QQfty8fz976cMCMHWVo8i8DSE2OSCAndYMRxMWi5Lb797gyhNPiq5lCAQlAWkxGvORj30cYy0v//Gf9BV5rcBqQ2qTR8DhzoyqqUXHrqxrFgsBIuu6FtCvEgPEqimpyoomMoltrJx77wTMzbKVg3MMVtpWugVUBGY6dlJZVWilqeqKsixpY1DbNGJ8mKYpeZYzmowYjkZ0Zk6i07t67mfB3O5rPbDVleOVgNMdeNrNwe53HwtIBnCtZ3o84+DhPvP5HO8kqZTOASXJaggUxYBJlJ0ZTUZkqcjD9LrjavW66wnaerIYIrNBWA7C0O0Ost5pOjIQVaRx9rIhEeiS2xAiS4WYgEeg23napmV2csLx0TFlWVJF5nZikxjISEGsiRI08syEdeqdlyKj6YoEEjgJs0RaJKuqEg+toCiXNaenU5oQGI8KfuGLX+T8pUvyuV3g3nvvUeRD8uFIDud4vY9b6z/rY1W44BG0Sb4m+7Ym9Ou6JaDzIVevXKNezLnz7jtkwxRjPe/94Du88+oP+bV/+J/zxd/8Lf70D36H+f49fOsZjkcYa3DeUC4rWVfGMhiNqOuK1779Mv/0+JhPfO4X+OinPsOzH/s0TzzzHF/+3d/h1is/wHmN0gltW0kwjl/tB7E40INNkYW0AoWlva8Dj7r1DCsphr4gFAElDaK/12kTA0k8G72P5phKE7QmzA64/d0/o1UKnRSMxhlGebRbsrz5NicqRJ3PlN1xTtsmpNqRjQcoHVAmoDVo5eO+2BWpJPnqrtUYKah0CXz3/M66xHdGWkFpSh9ovSQa86oljS2Bvq2p2sDulevceusdTmZLmrbh6hNXsAoKM6SqG8o6ZVkuxaldDRhs7ojMUlZw57VXmC+W1EFhshSMpRgM8Y2jJOH80y9w+63X4eAAjGFjPGGUZwwHQ6xNWdYt1XLOYnZK1fz/ufvPb9uy87wT+82w4o4n3Zwqo5AKhUCQIAmCBJOoRLWkbtqyusfw8Oj+0MNj+L/w8Fd/0rDcbrVkW3JLLYlNMYkJDCJB5KpCoXK4t24+aZ8dV5pz+sOca+19Tt0CREqyUJ4YhXviPnutNcP7Pu/zPk+D1pqH1qHDPT58/WUaB0VZQ9NwfHDIdPYNhlu71FVJEkmyLKVsLPnWHsvakPQKxPExR8fH3Hu4DypisLVD4+CZZz/BZaV57Jln/X7UgocfnmP21NhIIU99/VFBvkMSxQlSaQidVC0g1AE11ob4zsfTHliy6EiF/b3Bk+yNl2dQvmDRxprtumtfA8J+H/ZEY+yG9myz0Tqr0Pp0YdMz+dbx5SY7sV2r7fo3punAGvCJc9sm6c9JgUFgsZ1kRFUZnKm7/b9lQTrnjRzjJEFIGAyHHkCrKwS+SCQQpHlCpD2TXofYRCnFqlh4gyZ80Vh08UoTirIinHIS4QQS17WkO+nbgbXWpFnqwekspymWCOmB+jgA0XmeB9BaAz7GiqKoA2Laczc5f57BaEjezzg59GZ23vjLrpmDoz5pnpGkOXGS0Jnzbsyns3Oqi1dDfGOt7fILG1jDTd1QlSV142Ul6qpmNvWyGDrSbO+dJxmOufGRj5OkGQ4oihXvvvkG1x+7gdJRtyefZRh+4Dn7ITt/IYA/bK5bd/q6hWcJms4Lwz/f6XTCarUE55hOZxSl91GpjCFJfLea1vqUv4YxhrJsiKKcJEl8XhTOl1bvWmjVSaV5Cbd1d1b7Xz4cehm1NqfcYIK2zNj2c2M9sGQCaKmCiaF/L1X3+1JKlsXKn38hL2gB5ijykivWGBpng4GjL9AY54jiiMZabjz+GK+/+lrYDzbPdn+ulmVJWRUMxnssZ15GUCvPlPXvtWnTOf/zRclqteqKr/P5YuM1fa7bPjdrHUmarklTeLmrdq+q6yYwfFcQYioP4Ntg6qVxzgbSiaMsfaerCWzpwWDAyXROY3y3Y1HMkEoxnU4DMO0N54SQ1AHcr8oaE9ZOFEkGwyHW+q659v7GcUyWJmidsDUaURRz6qbCWIMF8iwnHYy4fONxdJKBirxsiJA+ybPOe5fINSi/KUGyGZ+0+86mHwGs2eib+dAP9xCeUAeARThDcbJPPTkgco5FXVMJiU5ykvGOZ8oXS5aTCWY1ZzRISPMRTSi6SuHzQ8caY+juWSjuEHJWX6DxsoU+PvTdOjKYwgsIRqh+H2mq0kuDdfv6WjqxBZ/TJAlmjy6csRZnG0y9Auk7X5wzXdM5QrK9s81wOOT27Vu+2z1KiQqDXU4YmpohhjTLccF7qm4MOtI83N/n3nt3+chHn0FGEUrFNGXpgXJn0MKh4gRX19imIc8yesLjeMY2RCKC2tAUBeeHKVEEi8URB/sHbOfXidMCHQke3LrF4fGU7auPk+Q5WmjeevGbvP3inzPYGnHt2iWa2Qk333yTG9ev0hvmSKVIs5QkjtBKYpqCCxf26MWapNfn7rs3mT24x2PntkgzTVUVaJVw8cnneOErf8j05IQf/y/+Hhcef4bDO7fZf+u7bG/1UVKwms+YHR9zfDzj3u0HfPLTzzM/vk9v9zz9C9d58/W3uXP7NlJpxhcvUteWP/u3v8OnfvavcKU3YDWdMVvMOHfpcujo9+fGyYO7/Onv/zbF5IjD2+/w6Z/+BbYuXFsfhV1+p3jzjddI85TeaKfDNv59ctbNn2n3x/+Q8ZdiDp8NQqTwwGWepSxXJe+98xZPPPMMk4f3wYhQLfGLtGX8SOmF7ovVkrquyXt9ipUXflctOBGq49Z4Haamqjmc3mc4HrOYzZlNp8SDPpGQOGvY2dnm5OgYU/uNO04TjLPkIizYYs7hyRFS+yRQWAtaUzbepMJ1FTL/91erZcdeEIHYLDuBfXyAaS2teVpZV0Ra0ljfuqV0MNsIJiLtNWmt0CFhGI6GJGm6br9hfaj5g7nEhSpoqx2llHff9AFKOymE71YQIrBITrMIWqBdQHeNnlXoiKIgIWEF3b7vwBmQWqOFZ4JsDUfMZ/NgfGOII41SHjXy7Wo2COeHNkghECi0i3wVOc3I8h55rw9SUtUNxapkmOfUZdmZOZSrFXXpdaDquuHkeMJquSTKUvYuXmC8t0c+HNIbDlFx4tuOheqeW8t23EzOz44uydi4T2fZF4+6hx/m4dp1KCWK9ZyAsIUpxfbODjfffptvf/XfIaXGIbjx9JNs7+z6ha40Tz7zLCcHByyOjlBSksQRURyhg7mVZxJ7fd+iKClWJXXlTR5W8zkAde3XxL3792gq3x7itb09wFlVTXBALsC5Dhx2DqIoDtfjwVmlAhsRfwhbi29zK5a0OsMtS1VpD6BNZ1MM1jsjNw2JteFvn372m0GTv0/4dlqlOkaFg8D2XTNo2pajVh7j1NxxgqqsODo84tbbt5hOp75tr/Frp27WbKskTmALr18YK6qyYjQakPcylBbBWOb98/Ns1dlaDzxXZc18Nqdald3vRVFEkqbEaUqapghFFzhGUUTLMm6r1e1ksq4NcgxVWXPw8IDJ0QGHh0f++dUNQnpZGhkYn421gRHhHZjruunmTJKmCCE6GRClVNBA9C2OUkisg1gnvLd/m6qovFblcMC5y5eIkwRnLU1V8darr/CRZz8GIak4mzx/mEDiR73PdcgL9XLBS3/+Z0TWYIIT96XL1/nDP/hDzg0ytgYZqdIQ+7NptSr4jf/5/8Xf/Pv/e774V/8W3/nD3+PhW6/iTE3WHyJUTJRIqmJBU1XEiW+BvrC3Ayf7fO23/hXf+/bX+KX/8u+xdeEiP/azv8i/vnuf/aNjBpmXWhDKEWl/9ssQ5CJ9y2lbuJMyFAi0DIVMjdLKt9UpH0S3RdGWSez1ydvEU5CGteqEXwvC+dZL78MsuoC7lWyQ1uGcobYNCo3TAqEEfaU7+QJjLVIbokGCcGBdCPJCcuzYBHn9GbzZ5eCcTy57/R5arduAW1DB67R79qOViqiX01Q1y8kEW5XU1iKtoK4rDg4n3Ll1i6Ku2dvb5dKlCwwGPcpyRaQjdJLRc5aiyKnLFcY0LA4ecHjvDipJkY3lpC5IasNokNPkGc5ZsjTCnMy4f/sWn/rpL/PSn3+dyJUgFFlvQFks0Uow6qUwSlkuChaLID0jJTKOGA6HaK2pyorjo2NOTqYIKVmdnDBbrDh34Tz1bIppGtL+EITmIx//BN/6w9/l1Rdfolgu+amf/1ku3Hia1174DrXQJFvb/OhP/DTe1kd2J/rZtRtu6n+S9fYfc4j2/10oJvLB7A8BQTtaQdeO7XkRLRuljd1ave2yblA6g8aA9d0VHhBpX9Xv3ZtdLx043H7beQC6aYw3hmKt994WazyYaDuAqHsE7eW5M4VTt1lUbILG/Noo0ZjQhq0USntCgsSRpimNMVgLVSAHRN3FeCJEnETEkUIrQT7oo6UOHSZePkIIny9EceQ9OpTXMG7Zb1newyFoyiLcA4N1AidUaA33YLkIAIBta8ABEDfG+iJzmoAU9IcDju5OUcKD+1GQGNBKedmFJCZKYqTUvhsonEmy7epRgn4aEecJe7t7FKsVy6Vnl/pnqUl7Kb1+n35/gIyi7oDfNKFrwQScl5RpgsFV283jG/JsKD7TFe87kz9rqYqCk8kJjTGeIdbrs3XuMsOtXf+0Q26xc/48w62d4DhCN6/Z+Pj9JZHujX5ozt5TecIZ4B3WcYQKuaraYNxWQbdaSkFV1iAEaZp4so/0OVekBEVRkMa+cNIWQNp1J6X0nX7h7wqC3BcumJe3QPz6vZhQfD+6f7/LF9tOunWB0r7vGXTgsrV+/+2A5LVnR9tRYJ2XYrG2Ct8LptXOa+u2Iw0xXfuXlBBURUGvlwO+GCVEuyeF9SAcWZYynUz8e29qauOZ+J6w7DrSj7GOqvGnhbDhHDa+kNT6UpxMZ56tLzVVXSFm867d3xl/z9s5WYecxXcghAJYeA5SFt1+ZRsP2DrnKFZF0DavOZnOfYeUVEync9+dIGVXgFJhXzfWs6CbxnZ6tc45kBHHkymtRIlrGoaDgS/c1A04xXw5o64K0jzFCoGKUnTW5/yV6/SGY2bLFVmugqlW2P9bSPMRRLFNGaHN+d11boX53P7Oh2c4urqyA4eitpb5qiIZjhlcPk9dVCxPJhw/uI81nsUtndf1XS0K8jRHRd6czLrNM7vFiwS2aS3CRfuHkFL5n3FeTsCvWeH9kADXSoqF7kwnBN6CO7CNwjDW+k48ITCmptXH9M9Os2YwG98JYn2MaZoSgyTJUqLY8vjjj1OWq6Bx3TCpIg72HzI92me4e56tnV1iqdneHoNtKIqSt969yfXHbzDo9XDOI87WCcqyJklqjPU63ULa0GHjcTjnDAiLVpa9C3sIGYNxWE7o9QoOD09oDKwawd6Vx/j8j/8sjz39UaI4pa6WvPXStxgkkjzSGNXjqaee5sGdO7x79zZPjJ8hl97s1jqDEIq9C+cwMuLk6Ig7L79OcXLE9s4OerTH5//K3yKKY+6++Tp3b77N/q232bvxBBefeBZTl7zxjT8iUZD3eiwWSyb7RxwdHuKcZXvvHFI07F66zOWPPMf9O3dJspjnf/InuX71GtPplLffeAunEk/0sIbvff1PebB/l5/+q3+TKE594T7JeOd7LyFWM5JI0e/1uPP2W+ycuwKtV1OYOkJIkjTh4d07XB9se6PBD1hzH/T1D8Kp/pMzh8/+cU+XFyidEmU5ebZisaxYLeZESULT1L5q5XxwJRxYUweNNBcwTu/qmSbenbeufBJiA1gohJehWC3mTCZT4jhCCtjZ2aauSpT2h8tqPkNriVYxprFUpiHOUpxr6KkYaw2J8oBnr98jjjRNU7NYFCyWK+9oqHWXePrrtKGtRHdBspQiJKxecFxY58E2IZABtHWCEKSeZpz6Q0YhhWfS7eztoCMfWLQbdfvzdV13VbzT7fqiYyo6F2JuWt3ONTvuFDDsfHIrwuEkRMtyCqCYlCgpkc7rfRrrBfH1BviF9IYAjWmoqwpT19g4xtnGB7Ja40z4WCmCmmJoi5SoKCZJfZC7u3uO/foe88WKdNAjjTVNYTGBSeqMZ5UeHR0xn0/JexmPf+QZHnvqae8SPdryJhBS+0OQliD8ftbCGrR7P/DLxu/8oPl+lgH6YQWY1pfatj4LvKu9REcx1x+7wbuvfo9333qLt96+ydtvv8Pf/nu/0s1RJwXL5dK3lLpQOFEyHIiCqm46o7nVckVT+9ZF11hM1TCfzZnOpjgg+BiTZ3kogERdcLxarVgsAh/ehTkIFLNZ14rlTe3WOoZRpBFChZYor0MmlaTX65H3euSDHjioi5IqmK7ESdxVezcB4rP3TSjpJSxEKyr/6ELC2fll2/5dQATw7nD/kHffeZc7793p1nXe79Pr9QJ7wktjnMzmLBYrBsM+/UHPM7qqElOP6Q/7RElEa6x1dp5vvp+qaljMFkyOJsxOZr4lLgT9SZKQ93ukWU5/0CPv5V0L7Ob1tCwPDzbYTvu1rmv2H+5z8HCfo4NDDg+PvFt0s3bT9u1+SeiaiDqwPo5jIh0htaKqara2tpgup6Eo6ANmz+zwRbnZfEESe225JMtJ+jlXrlzzibpzVKslL3z9azx4+IAf/Ykv0jIPH8Wq+vCMDVBpgy8mMBghWc7nVIs5Oo1prEMDt179HrGp6MUjkjhBR8prhVqHlgozX/Jr//Sf8Df/3n/D57/8S3wn6/P2i1+nbo5Isx4qjkmSDFGWlGVFrz/wRT1rKZYL5rNDfvUf/9/5ub/9K1x57HF+7m//Hf7VP/qHLA+OqIoVItFcuXgOLYTnAzqvNayE3zOsNVisfy/GJ9D+rDThY9m1NUJrpuDZR60pYVscag3VBHSGIBC6mhAdU2+9RjXSRh2TSmy06/qvSayVWNvqNYYWfDY1vds51Jp4tW2A/nXyPEcKDyS1Z3q7vzSNASQ2kWghWO0fUJclZrWkqmoa61g1gpdf+S7jNMUuTnj2uY8hqhVpFPmkwgWmh62RSjHc2qIuU4rlHB0ZstAtUZoK1RvQ39lj/959BquS3iCnqleAZf/uXe7evEk1mxBricpTVqslWktEkGSyCPI8J828gU5bCARfwEmTPsPRiPlkyq2bN9FKsX3xIheu3uDN777MSVGzVTbMZnO+/sd/xIM332Rvd4fFQnMyPeanPvkp/ugrf8xjN55g9+IVLAoR2E5tF9PmWDNVf/jXcAu2tP4RPzDWCJrczhE0Sv21+vizXTsWGseqqIi3ttBCUc8PSbVERV6b35qWveTPhs1Ev91HWqDANj4GbAGK1siq7VKzxstHiK5tPbzZAP627GERuhjquvaFD+g67nxXjvRFSmOwxh+0URSRJClN49dZVZaUddPp3TsHZTCylEJ6eQYdoyLJcJCiIk1TudB1IFEKkqCz7EIs3AJ3LbguCSw4pb0MG40Ht0JbvZMyaLtLjFuz6VwoiBpryPs9VKRQaY/dS1c4uHsfpTRJGpNmCWkWe5kWtTa9lcEEF4FvIyWAWQHYS7KMLE5xbhzmTfBfkBIZxevWduFjkDbebZ8rznmN8qqmqkrPCC4rbyBk8ZJeUtI4b5IllN/3bDB9XS2WHB8dURQlURQzGA6RWnP9qaeRSgftTku5mrN3/oJnuIu2/PDIyQ+PiMfbufP/T8PPT9GtNSFEIDRIVss5Te27MBvjGe/1ahVM39aMzLIsESLx2rIGL7UX2IKtnKDDS6VFyhcg0iyjLIquYLkGMmXXnSUDY9132zXd65hN2QDh12trWGmbDSmVMPdb5r91sCxKlNMsFosN4CqwfzFkWUKW514eIvIGwf4aJNPZCVkWUxQesE6SGNN6D7mWgVwF6QbjMQAEVeXfb12W3X5Wh+4Ga31RuAlEgqr28jJRFHnN7toEcoMjUt7otT1HiqI8tSdLuY55TSB3RVGMsALXNMg6dNY2hizLaBpDpCMEFoGXbWpM08lq2IB9rDs3vO6rlJLVaoWOIhzOk1eUJksz+oMe5/bO0R8NuP3OO9R11a3V5WJBnEYBq4i59tiTDMa77Fy4iJUKi8TYQGaTgg5vdC0Yv5aJOCvVB3QFivbrbfwCnPrdD8NoY8QgtM7e+YvEWUJVN9x+5RViYcnzmAujjKaJvKShklhyX2wQIKzXrd8kDLl247Mu+EZ0txjw9ylNU1ZliXDeGNU5R21rIoRnGNNKydggE0S3RruKpPP5+emYcy0ps0lKOMXoFiCcIclSLArbJERpErpkHcPROHRmllTGhLjbG/SZpmC8tcOP/5W/AXZFU9Ue72oq9nZ3MCrmeF6RK3/mGGNAK6IkRUcZOEtdL2mcQ8oonJsGHSniSDJzsLV7jR//0S9w/emPIrRCBmHo/Ts3kaYkH2x5w00ccZ6Q9xIuX/wYyXhE9eC+L7imGWTbnix6cog8PCTLMi5c/xSNTvjE53+S0c45/vA3fpU//hf/jM9+7jmWZclnnv88Tipe+fqfIZcTBlt7uNoxOTjECUl/NKLf9926jWtYnCw5uXub47dfZbufIM9vsygK3n3jLZyO+dFf+OvsXbnKyfE+919/hcEoYXrvbZraILRm68IVLly/gcYX0h7/5GcZbO2FvGMtP9f+NxyNMEHmRvDBeNb75vnG9z+IEPkXGX9p5vDpoXA6QUYpKopJI8vs5KSrHltnEaYJlQ7hGXJShWAsLBBnKVZeZkLpdatOWRQg/Caa5BmX+n2f9AmHiARKaOqy8OYtm4mzFEgkxll64xHL6QlxrBllfeLYHz4oh5aa1KWsCt9G4qwBJzyw6Xxysk4a3amN0Rf9Bc5591QCYKTU2sCjM2KSHtygTRY0DIcDBgPvZty6Tfu2A0dReMOu1nSj3cRlCC6dtR1jw9jAyBBrzdw1s2nd6odzXlcqPD7ZbfQ+YHaB1eQrje1FgnAqEBIc2SCnKApmsylZngcpCI2QFU4IdJQgRY0QUWh7Fz5okAonDFGckvf6XLpyGS0lJydTppMJC+GIowSlvfbVcj6nqA1RlnJ+0OPaY9fZOneerb1d+qNtdJyAUgilcUKeWhDfr6LyKED3USzhzWj3UUDy+37+h3ycnhf+ay1Y4b9PB+TrNOP89Rs8uH+P8bBPLOWaaRScxEejISf374c2WOndhqUHhouqZLVaIoWiKErKlQeYmrLyrNXSm0oKrdgZj8jznKosyZLUGzKFgy+vKoblwLd+1XVgmnrDhrL0Ad1yuaSofdtdkiTkeU4UDLI8S9EbrvV6Pa+pRAjGq5r5Ysl8Macqq67iCqefZ9u2J6XXWGzXpOD9z961NCrExj32iVz3M8ZyMply985dHj54SBonjLe3yPIcGWmi2Lfb1rVhuSw4PDiiWiw53D9kuViytT3uKs5t0qujsCc41x00m3uAMb4KPjk64fDgiOlkymq56gz7pJSMtsb0RwPmC38ojrfG5CI91crbzpnW3NFaizOO2cmUB/fusf/wgAf3H0LoSmiBfvBzbrlcdeCDDPImWvuCgI79fnFyMu3a/Frd4roO7Cbn3eGtgTjLGO5scf7yJQbDIcY5TFXx9quv8eD2e3zhCz9GlMbeCECsgZnN9fBhaY9r49v2fDv1fIW/rx7sXwf6vSzh/N4OSeoLrkqHApqCSAiGvZT5/QP+9T/6h3zxr/4yn/rxnybpDXjhT/4tdXNCrKOg0xmj44RytURg0UmKThL0cslsPuO3/tn/xI/89M/ysc99gV/57/57/m//l/8zZlWx1etjrMA533LjfJSL0pqqbIjj2DOSYA3gbHzczpM0TUPL3hqkiWPv+A2n9b03E2Pw5istY6dlVBnniLVGRG2r94YWP+0cEWCMN1d0FmF8cRs4te9v/te+l1MFXCFCwSzsr0Iwna9wKLJEUs2WQXanpKgNerDD4088xZXHnyDrj7j2x79Dffcm/UTSz1Ki0ZBquaIplqRpynK5pCxLX0SvSqIkQagY7eoATkDeSzieLViu+nz6S1/m1W99jQcPDulpQWUsWgmOb9/isetXmU2OiRNvMIgzntVkveyXkCLIvjjqqkC3bHxnkCqibiomR4feTMtZ9u/c4b3b9/jSL/4Sl29c4xt//IfcffM1zl2/wRd+6W9w/83XePmFFzg5mVM3DX/37/83DLdH9Lf2PJDgfBIt1AdLPrXyNz/UI4Aim+/1kazhMAfrpvakgMZLRHivjnZeC0wT9CCNQcYJ461tDt95gzyPEDpCEowP2zktT+tFtn+/Az+M9eZ0QfPT2LYDZ01SaJlXLTkCQ6eF2zpJusDSa0cdgFapFI0TXkrOOKJswHDQ4/DefRIdIXVCWXsAqm4a6o3Wer/egyZqHBNpTdVYTGS5fukaol4grQFXe3BYS5JUEwUmcvveWkZmF7uLteyFdYbaOmSUYurCx//QgcOWdSt+0zQgY7JeHx1pjNJcffwZlE7IRiMWxzVSS5Ik8hJwQTdWhY4Ez7Lypltqg80tNsEWJVu3AM+4aue+CCxRIRCueV8Maq3F1AVVUVAVJU1RURYr7+i+WoH0bHSl/TypakM6HGGrEtnU1JVn/8+mUyyO3XMXGI7HxP2+Z50KMNZQLpfheSTrWNo9eh0+qli9GZd8GMbZwvIH7TgtQFk1VQfyVFVFVRa+YyvEWt57w/oYR0JjfYdrWRQ0ys8dz9SFKAqSLKFTU0rpi6PhebcxcMu27QgIGyCW2JjrRdDk9QQsD8zWdU0cx77btc1vN0Dm9nXaLq6m8a3wSinmi0XHJpZSYW1biBIhh10F6Qx/7nvdZE2vl7NYzBmNvA6zl2qAprY+TzCOOO4F6Tkwnamb9N1hQSKnlbEQwu8PJjAnOx1m49jZ2WEyOWGxWKBUhJLe3LHt+HGmNb9ugXrT7T0tCUuGjiZY750t23i1WiGk13slEBh07EHtNo5tC0ItWL8J1CKF16gOxSu/hXpJNoHg3Pm9TlbCOUukFb3BwLNZI82Fqze4cPUGSW9EQ5CxTDKE2NAFdp437NxpMLjFJ1qWevv1s8Sys7rvTdjbf9hHR2rB4yPWWA4f7lNPD4iFYG+cILUmihKkUrimJhKtiaLypsDOIULhsZU3Y+OZ+vjSdedGW3jxa8F3sqyWC0ChAiZlhcdsBFBVhX+2wWfGnzqeRdzUQdaJwF5XCmmDHKRsJQVPSx9u7lPKWYrFgqQ/Isv7NHXV5WMd29mBdQ3GVHgXDX8Wj85f5/M//jO8/Pu/BqsFzXLJarlgNjshyy1FWXCwLOj1+hwfHbG//4Dt7S2e+cjTSKmoaoOTYOuS1vdGCIjihE994af4yS//NUSkUEIF00AvzXHn3bfoJcobOFYlWkoOTiaUUcwXf+Fv8dU/+B0SZ9l/8IBse5snP/qjXH/m4/zOv/ynfP3r3+Tyjad44vINdi9dZWdrm9nBfY4f3MaZkjSNIOlx+cYTfO9bf8bkwR1Go116oy3mkwO2xn2McQjVR8UpFYLB3nn2BkNmD+7T39oiHY+ZHR3z3pu3qYl4/ks/x6Wnn+Urv/PbjGKJNQXjrXPY1YJicYJSEQerFSsruPzsp9BRwmC8hdAJLU7gl15LDnUMh0OW02lYkwGP+wHY1g8iHfxlxl/OkG5jOBxSa5SFSEdEOsFoh6kb6qL0G5NoME4iHBgnwCkk0lcjMCAlUiiaqvaaacqz4YQVtAYIo9EIqbz2GI03gqmLJc56l1XfJuVC25Sv7kvpJSmoDRqFsF6A3lFTlhWRiUILm/NBExtAgvT6lx7Zl2Gz9bqk68TPyzAIvV6ono0haRlF64218WdCECB3UcTOuV2kVqGC1AZZkqauaWrTVX83W4yEANcG/74k6f8NbD7wlU+lfMDg94LgYi1k0GMDsL5dtl24iND+Jzl1ruBDZFc1WCcwQmFFQiMMJ4sVRkhGQtGLI7RQKJ16xogtfdUI5cFzpcAp4iRjtLWDEJD1eyxmcyZHh8xPTiirGlv4Fp20l7I32mZ7b4/+eMzW9jZxv0faG6LjFFSElF6rS24EnO0i2WTKPHLenqnGrH/OH6SdVrFrAy4VgLf25z+c+qVAt1l396AN6IIUgkOQDLfYOneBt998m/nJhOVyQdrvd+BJ3usxkzK4VXtZCeeCznDd4HVhC1bLFaYxrBYrVitvnLQ1GJAGKRUZ2KlZ3iOO4qAPFhK6KIJeFroNfGFlVZT0+5Kq9sGttZayboijuAuehYTBYEBdVbSaxUrrdWDdGBqhKMoSIUTnbkz3/yFWQ1CUpTfek359io02oLOAYwsCb27kPjBWHQu2qmpOjicc7B/grOPcpfOeoRN5DcMojqjKiqa2CBlhDCyVNwFcHh6Gd+j1z4SUGByDYY5UbQHLds+3RfzrqmZ6MuX+3Xvcu/eA7a0dlNbE4ULLsuTunbsMZkN2z237a7AW3Jgsy7rAuB0bJTiapuLk5ISD/QMePnhInvdI05w8z71Zh/Bu11VdhWSpbruLcda/N2sMdVNhHcznM58oBH1N6xzO+jYtpTRN1RCPUqqVIR+P+MRnPsN7t98DoFwtuXvrJs8++wwXr1xZu8yv4/FTz+bDw4DwEUTLGz415/CJEYhTyWCWauLzu75ooqOOHdsybaMk4ULtGWR/9hv/mrtvvcFHnnueH/2FX+ZrX/m3LOYn9KKKKEnQSUyaZ940ploh44ws7xNHmuhkwld/89dZrWp+5Kd/lutPPMn8zk22d3eJkwhnQrIsbEhQvESMxSCsOHW2dVd75hm1hZj2vyroUMPabf19nTXCFyXlBugshEC2yZCU3llWiDXjw7UJtvP7PQ7ngsmraZNwutb9llXTnvGbjJv10wmFNWtpjOGdd28Txzl5njE+d45klNFMT+hJiVQRt99+k/3bt9g6d56PP/dpXpjOsKZiOTsmSnpoGdrdu9hA8/D4iGEW08eb4zW0wJ9v1d3OMo737/GdP/sjPvczP8+bL73I3XffYntvh/FiSeos06MD+uMxSnrH9KaquX/vAXEc2CbOda7ppjEoHWIN54iEpKpLalMzXS5ZFTWDOCbXiqP7t9k5t83RwT5f+vlfIh+PkFHC/tEBuxcv82N/7W/R3z7HYOS8/4YQARzTSHn6jD0dILug6fbDPVrSVju+L2sYR1EsvSGa9fqGSilUZDENNHWNMYYGr/msE8n8wW36vbgDHa1zwdimjRN9zKkjjXAiaKKGBNHYUABZF0WbICW0mWz4ONqzmOUZkFsGNnArVdHOFak1dWVwcczFq4/x4O4d0rzHF37+F7l/5z0O7+1T14aqXjDo99GxZlEWSBWzms6QQgawuiHLM28W1TTE/QHPPP8pFvt30NZgTQMtUzFL8d28Yc7I9TkolPIAaSBRCEBrh6kapFDUhWfY+vjcBZasb6M1oatIxzFpv+81YkXEuRtPgnM8eO8mEkeW59TlEqV9obotPEkpOoKHj999/NjJc2zsf8Ktix6OsD+FWANaLckgoeZcaCU2gSW8olx5plddFEyOjplMTliuymA+6MFhhKKsDYO9mqZYIYoVTsJysUAIyXhrxPbuDvmgT9wfkmTeN2Q+mxLriF5/6POE8D/E5gx/xLw+G2t/iELmU0B2WyiBjWv2Wq7GWSoHkdS+6wGLNV4DO46iTi7Fg6ALktjLHakwB6I4YmvLs/mM9TGc1yyekmZZKL5Y4iQOBmUu6HYHdMG1MWuIc6xFKx3iZv9OWxZyfzBgMZtRrAoPFlrbMYdN47sOrPUgYJJ4EONkMqUoim6dK62xdtl10cZxymK5DN1/cZCKEfR6PcB3EOg0DfMZ9nb2cA4vJakU1kEU4dmCtUJKL8myXK48eB1Yzo2pGY9HLBYLnPOG91p5b55Ix5jG6z5ba5HCMT2ZUFclsdYo6QscWRwjpPQyDVL5gnVVk8YJxnogX2vlsYgAELc5kl8/6/zEd3EYv18ELERIgZYa63xnXFn6zjdrCBIBMkTx4KQkHwy58cTjXLx8iceefAac49d/9de4eP069+4/9M/IGbTUjAZDnI7QeY8nPvIs2xcuBrKc6MwDnfRMTYQnroWIhvXUfX/ee7aQ03VVnfn6WYLcD/PozjDhyX5KaXp5wmqpSLXGRRkoSZqkNHXbZ2ZD7uPJDCLkULYD2L0+N9bnYE3deGIgfu0Z23RePdZ66RelImxTI5SgsTXOKazURHhzQmENVggfKhqf6xhEKLhYqroi0v49W/F+KaFNLfH2a374gnKzmmPKZTBvDTGy8kQn43yeJYT3DpLWURjF7rXHmB4eMTk6RhRLTJxgjOLCxctoBaZMuNesgJIbT1zlyrXLHEymLJdzTNMwX1RsbW8HDMjRlDWr5Yolgqef+Shayo7UB87vN6ZhdrBPFnT9q9WKpiqZLgo++/O/TH9nl3w45qt/9Mds91MuZX1A4KRkNMj42Cef49qNx7HljPntN7nz3W9y99597t++xXhnh63tcwz2Z7z57a8xefAeg36PdDBkenKMqcpgfO04PDrCygjd22bn6StcfPxJ9p4oEJXjzs3X+MN/+79gGstP/OyXuXjlOof3bpJqycF7NxEK8jxjcXxI3RgWqym1nWLzlMc/+TmkjkOX47p7q7Gm67q2GGazCaPhqD3iP7Ag+Z96/IXA4UcFtrJlqwIqjsj6OUIIZosFzjTBtK0FTSygup+P4xiBQmrBxWs30GmCEHB45y6rkymeGOdCkBVA0NC+KcFLFwSQ1G2Ao5vvVymFFgqZ+u9XVYWQMULITmjfGoh0vF44Ungd28CYbIffbNYA0CYA2QLBZ6tuSusOGPKi9pqmqdjd3SPvZciu5W5tYNVqRq1NbtYmPe3rtCwNG5II17EWgY71HCZXe0jI1rjAhJ+zpyqim0GokN5Uz6HRccz5vcsMt7dRwRU97+U4ZynLwuuVhYMxSnOwhsZWrEMVQGkP4lrIhhIdR+SDAXVVc2F1mSa0wAnpjbiyXoaKU//30owky9CxZxZ70zvPmpQbh9bp5/T+VrYPYv2eZhS3CPD7wb8WgN/80ocJHD592J8JfGnvDwgkWgp2z12gaQyxqTg53CfLc7/OsDTOIiPVgS+m8dV4DwBWrJYFtjKUi4LpdEpVlqT9nOHWiDRNydLUrxl8e5YO4G3LZjfGIJTCGK85aK2hLEqc9EnaIKydpqnpuzVLIooipPZtoXGSetBIiVDo8YydKAmsp/Dzzlrv9qvaZK0tEUCcxMhg/iHAH2ph/3Ks2fpSnnaE3mTst+17zjnmiznTkxOWszlJnhP3MrJhnzzPg86qD/pXRYXFB+w6klgsk8mEk+kMqSUqinASZKSJE0WeJfiOB9HNT4fXbVwtl0yPJty/f5+qrjHCMhiPvFGIsSyXBe7oiOnxDAmeNaoVsxOvf5mksb9/YX7IzknIgwmL+ZLFYolpLKPRmP5wGBinXranCuxGz/oug2mJxTYBYFLekRohQkuzJA+s47ppiLXXaez1BigdESUxV25cY7y7w+2b71Jbb5o1Oz7m3PlzXLh2AxHnOLfezxwfvC/88A+x8e/mgRTh2908+NH+F8Wxbw+rS4QLrJuQkTu7lhja3tuhqS3xas7Jrdf401tvsPv4U3z+Z77Mrbff5t0XXyK3JXFgXvSSPkYpVmWJUpo4ThmPthBiymvf/CrP/8iPcePxJ3nh9ttkWYzUMU3Z4GSDagttDhrboPQayG3XymbS0WrcGWMwtv2eX5+bCUu75jcZOi4ALpusqfbZdxIT4Sxs72hrzNneZ9npmDucDEVY1jFFu8ZbQ7p1ItLuDyEBtJayaijLmkWxRMURcT9H6oiDB3fBGLT0gXkrP1YZw9F7b/P6i9/m2mOPU01LdFmj84g4S5kuF172KUoojk+Yn0yRpkee9dDBT6FNpq1pEFHEeNjnZD7nK//if+byk0/yiS/8JG985zukzqISRTbeRmlNU66wpsYJg44TDg4nJGkE1nEyeQBCsLOzzdAMyXoZsdaUdYnDsLU7wgnJcrFglGWMd7fZ7muO3nkd3RR85d/+Ok1dc+niRSaTKXprm+HeJaSKEdphVgUy7IG+pfP9Z3v3efucPwyjjase8X67grb/jHK18nVI5eNe23iQ0wrfYmm0oDe4QD19QCQsTgqslYF04XxBLsQpra4m4Nuaw7pojPH3VgQHe2FpkLgkRzSzbi5XdU0Sx8A6TjDGdl4aAK3kE+EMtnjZtqaB3oXLfPbHvshyVaAHW3z8U5/yucHxlNnJlF6WIYSjrkqoGwajAUUNolhRW8v5G49x7dp1tNIcHR1y/fHH2dre4p1XXsLMJqg4aNXH3gBOyXWngF//G11/UnXrW0ivTe4fiZdSU852LenGGM+el56BnKYRKop8t5oApzQXbjxFfzzm1Re+g60qdBzRVCXaeXm29t7rSHeGYq3Ektccx8exG/tTuKHdWbUGAdoM0bV3PBSunPf5KEuqlTekrCt/3i4mU5aLgqpsaIwlTrNgcCuoaq91uliVSGdZzWb0hn2G4y16vZzheEg2GFA7S64UR/fvk68qhuOx32vxhfPN0sf3O1fPfv1UqvJDPtbsaF8waHMC4YSXFgt5lpAKnWQ0xdxHyEFbP0oTqqomz3MWiwXg9XTL0pslZwNv5t12DUhAK+3zamuRIX9stYet8Tr8si16hFJa16Fi/ftU4RxSyhMTWgKSEIKTySRI9mw8hHCeudCh1bJnTev3IGV3ltZ1RW28Hq91vstvuVz49x0YvYh13qq1N4Fu/SucsZ0kg8D/3Cp0Ag0GOXXtQezNtvlWx9haSxpyh6ZpENYRxxrnfEGmLEocrmu797I2qQfyGoMQ8doXJYD1xjpvXKkUzmm09gSt3qAPLpjO2paQ4b0xqqrqmMuberxSKKqyREeaSHs2eZYkEMBJYxvKusY4wflLl/jiz3yZOM/ojfo4KVBxyuTomJ/9K3+Fd15/nelswXi8hRaGxXRGURb08wHXHn+anfNXMQiMa8AaPJdNbRB9vIa9B/5OM/bbuOssA9VPhbYoeFpC62y89sM+Nos6IuT1TVOjtETFXspO69ivV1ejXIULuv2eJxzO4FD09EvM69lb4zpcxwZSFXJzPw9nq2l88UgoL3WiFI0VyCgKRQuFcbYL6xspcI0JHUBB0kV4nwvfcS+wQm2QGaDbTB3BoCCQlwKQ7D/0QKTfe31c6ONUhwuSbcKCayzOah7cusXxrbcQtmBmUy5dvMrs3rskvT5aaRp1jMQxGm+zff4q6dYun9i7wB//5q9SLktcZagbr6leN8bvj2mGWB7x0je/ybnrTxOtzRRQQjA/OWZ+8JBku49zlnt33qMpGnae+gTjvXO88Kf/jt/61X/F8f4Bz/7cz2OiiEvXn0ABDx/s+/tVegJaU65YLk6oi4InnniMJM8w1nJud5vJnVuc2x2TpDHF4oC68ERUax3WCGRvmy/+0i9zMpkxOncOqTSRzrEYXv7617l+YZfxuT0S3fDmn/0Br77wMruPPcVqOefKxQsslwXT6Yzjkym97T1uPPtRHtx9wGq2IB9qbCDAhQfEyeExf/I7v8PHP/lxBlsjYp2wvXv+VKq3Oacfdc7+p+jE+QuBwx90+HvXU6+NJbRGJxG6UmiR4+qKslqdAk1OVTqsoakN77z2GjKO2dnZIlKSpWtwqLBhQ4g+QyXHdKwIfzhazCnw1BsyOCCKYw8oS0uSxDS12JCI8K9thDeAalvLHQRwOIRA4brrQPNvNdk2NRGB7vpOucjatSNskiQIDEmSsnduB60Di9cL7AHrlo1NxvDma/uD2x+uXYtLFFGV9UYbkAx6wushpcQZLxzevqa1Bmmtl3zYmIlCCLy/XJDEUJqtc3sMt3dAReEQ9O8pi5KgnxYMDqxH7qXzguxhF/NAjdSoTCHqChkpojzz96uqvE5xW+UL1VwdJ2vGh/LVZBEq3Wczw8379EGL51EMpPf/fBv6tiDb6ayurXSdfa0f9nH28P9+IHlbaNje2WO8vYOtaxaz2Rqbso7lbOYPQGvDvx4YLoqSoiipqpq6KJmcTLpAajQaMR6NPBtBeEaNsTUQdTIJ1vl/ldMdExZnKeuak+Mjtra2/IEeDr3IJv56bGv8IDptPULrjhBQmwaF1zLF0a1fAqsniROU0rAB+MKamQjrmbApMdP++6h7ezaQssZQLJfMTqY0dcNuvx/Y0qEQJCRx7HWvkkRR15Y8zxDOYcf+YD85nlCVNcXStyMtZnPSJPJdG7H2IG77PqxvGZ4cT9g/OGAxX9AfDkmShF6/5zXkHPT6gxA8HXJ8coLU0ptkVK1ZHOjYJ7ktc8yF4Meb2hiKovBGm1qRpl6vsNfvUzcNy8WCsqoCg7jGWM+CwHqmm04TVvMFWO/23hjXJQa+rSpo+mlNkqTISJMPeijpmXWXLlxkMZlgjeWpZz9K0h92+9wmkNgWENrPPyzjVFAvN9qHXHt0eOaPFgKtJK5pWJbeRThWyuvIh/XSat4H8jZxlrC1NWJxeEhsaor7N/nW3Vvc+Pgneeazn+W1l15i8vCYi+d2mIkZSZQRRx58NFKh05wBUB4d8rv/5l/w2S98kZe++ecsJsf0t7bI8xRbl4DBm3p4lsJme+PZM7TTXQujPUvb57f58y0ADCFhVm2yLBFtO17bQr4pQXH6BndzrLvPnP477dp3zmGc9aYzWuEa/P1tO4Q2wGMXkoqyNswqi4x6JLFDFBVa1zil0fmQ/nibi1evsrW3S573ODo+4t47r3PntTf43p//OePdIVej8xSLOULHoJPgwOz3ujSOmc8XjEYjsizDOROkRDRFVeGcQEeCUZyTrlYs3nuPw9s3efXV17ly5SqPjXdJswGmWAIiMGIc/X6POE46xsm58xdYLOYcHByiswwD6GXBaDjAWIc03vyqMhaZpmR5j7pYEukIUy55/eUXeP5Tn0LnKZ/70S8QRT3uvfUGexevkA77vhDokhDLnUl8OHuG/0VX0X+e4U59dAYk27wea4MGoN8nwQZiu2fGiMD6FI1lOT1C45m8/nzzyX8XW1vzyP1tkxVmN+JSa53vspHrLiylFGkLLNk1YLRJflDSF4ebxviivlIYJ6gax9bFyzz93PO8+95trj/2GJ+6cZ2Xv/1Nvvedb1Mv5vTzNMjHWYR0ZIMR/e09zt94HKW9Bmma94iimDRNea4/oK5LvvEHv0U12WfU90ZXTdOs27WhI1Z0mqR1TZwk79s32vshleqYzzaQAnr9vl/bIvhmCC+PVhtI+gMuP/kRkizn/q1b7Jy7iLE1J4cHgQ3oX0NpTZZ4SRwVaVTUxjONZx86D/p70+bTMcMHziXn8xMb2p1NYzB1Q1WsqIoidBzWTCcnLGcLqqpG64hBlpH3+yRZjtQaZERR1iTbO9hyhd3bJk098NiYhrg3RGU9trZ36OV9hlu7JFkfJ9f37S+K7m7GyV5//sMBMG2OrpsQQqFhfU1KKbIsY7aakUQxWZZSCU/ESZKE+XyOUoo4jqnrhuVySZb5/EcEA0RrbWcy1xoobuoFE4BWEcBKK9oCqKbrdgzjlJwga5mYlnjR2QiGM8uETi2/N5gujzXd+l93q2hjkcp31UkpKVbVRju97/byZoxpZzzcnvdae5KQCVIvnllb0uv1uvP38PCYNE1DTKnRWntzRWt9zBt0jvMsD10RMshLCNLEm0S2Ehjj8ThoOQukDNrNWnsSRMAGnG3lFgJjsVKkW2NvzGcMUaSxwVjQCYgjjXAe80gijUziYBAKWMiTQTDV9R1dVVVTlg1p4rVaB1vb/MiPfoFrjz2BiDTLsqCsGpRWHB7eI08z4l7Oc5/8BK8pR72cI2zNYrUkG4w5d+kcOlI0psIIXyzqdIHFGiv4QWv0Uazgs9/7fh//sI/3v9cgzxT00z0RyVLXFc75zm5rDFVVBcB/g5QHOK+BFoxEbWDctnNZBcPidd7hrKUyBdY4mkbghCSRysuaWhN8mcA4hxYAFoMiyTOapZ/jcRQhmzoA2G1cGoxSPYG5W69CrHMFGc62Nv7tiJJBUmYzntbOYZyhNg6RjLzETDVld3dIsYrJky2qxYx+niO1Z7iqKGPv/EXywRgtJcvD+7z16uv0BmNqp7hz+zWMdAzihCRJEVHQP7eOxfEBt9/4HtODfc5fvsbulUtIHfHqC98gMjUYrzywd/4ii9mMyNX89v/7f+Tw7i2evHaRa7/4i3zmJ75E2u9jDfzp7/02V288wb265M7tm1y4cAGVpET5kOGu5Pzeti9k1Q2DPOk6keq65Phkxv7RlO1extbWmNJYHn/2Y+TjHbLxjscKmorjowNG422q+YzBIGdnZ4SpCh7cuU9dr3h47x2efOYGwsJ7t+/R39rjsU88yf3bd5ieTLjz5ivMD+8TZz2e/NjHOH/1BlHaAyFp6op7b79GP3YsypKf/+W/i01yPBrx/vH9iI8ftAY+6Pvfb/wHy0q0QwqB7ZJ5S5rEOGWwEr+JtW6cgBAWJcKCUoLICmKtUFpQnBzTNLXXMAXvfN5VywPIhQcnhRDeEE5rX1FlfePSJPUi2FoisERpGlrUIkzjKAofOLULpG68c7ILlUJfkG21l0KLJi1j1wdodWNQSm8wNGxXaXUOtnd22X/4sAM9nGloTMWl61dI05TAf+5YjC3o7LU4dbfJtFpKTWMCE6kKB3ZIEFYrQHZBsdcSWru0t6Z4dAxjwkHfsgEDKN6BDi2Ty1erymXBK9/4Jr3RiKtPPMl4dwendNiMCAys0HoeKiJtO0v3ukK2lAikTry5SZgTUeaBrI7NIduNttWrDK+JwJOe1+YPZ8dZEPT7LYrTX18zwNolefbzM39p478f/vEoZvUHDRFiYBEnXHvsSd557Xte3yx8sylrFtMpkQiJivAOplVRspgvWC69oeThwYGvnPdyhgMPFgopEconRbULRRQlKcsSHUUY44PQSEdIvASElMEo78bjnLtwkcVsTlGsgl6i9e6qZYlAEMcx/a0t+sMhhw/vs1rMaJoagQ+srfFA5nK5ZLGYEccxW1u+irhxt9533zYZg6fv1ek5sHnobjIibWgrr4qSpq5RSpJEMZFSSDwTXqqI0dYODx4+QEWS0VAzn81oqookS0nKlF7TYzmbc9g0Xs4j0qyWhQdNVYQnSInuQTbGsFwtmUyOQXh5njRN6fV7pFlGUzcURUV/OKAoC4qq5OhoglIRcRQznUwDI0ShhAWhTk391qhTSkntmi6RyPOMLM/IpCDt5Z5RXlUY0/h2vsBwUzqirGvyXp+m9KYb3hBUdolEbzDwrBspUNpLBWT9nCiKybI+ea9HkvfonRsioxiDZ4k/qgDyYRxdsOk29+gWrLTcv3cHJQWrVQnLgrqpWdS1bwFOYnQUpEakRErnzVADS95aS388Qo23UXVJUy/J64abL79AvLXHp378Cyxnc95+4QXSusalPqlKkmB8hSHOMrbHI5a33+VPfv2IG0/e4NZr36M+2Gcw6NPrZWA9Q7xl2TjnjWeAjpkEa3MeHTQKzxZhzjKBTxUAQpK9BoRPF0hbJpFzrY7qukjoPz09R9q/275nuXEmQQDLpEO0RWXXFl1bmQvFZDLl1p27yDhlkEZsD0fEox1qaxlpTZxkOCGZHB5y8PAOSZKQZRn9wYDd3R2q2ZSD/SPO7YxBzOgNRgxGWyyWM0xZdbFJV8QSvpurKAqfXCQpOoo9e1Aoti5dYzU5IR31QWlu37rF5GAfu5gFfUVBmidoHZGmkuHQt8ZKFeGAYjXCSclyuWK1XNLLMnqjMTKJUE4QJQkRgrv39pmczPnop5+jv3eOj352wN3jGS++epMfv/w0/STjm7//b6mahu3zl7j2zFPMpjM+9pkfRSU9n3y9ryh7enwY1nQrTYB0gcG0HpvnsBCCpq4wTUVVGx8DS0FQLMOF9ZE5TWMLcBK3YWojQiG1lTxRnTRBe48CY7VLFmTHepdAIi1FucKFuFuCZyybtsuMsJ584hnFkTd9s6C0IpIJRVWwKiqSwZjzV6/x4te+zue+9FMMR33++Dd/nf2bbzHoJWTnRiQ6mA4KFxi/luZkn5svHrN98RqXH3+S8e5el4w29ZJXvv7nLI4eMMrjoIFqKMu6S3q9Z4Zt36xnWAYt1EiLjVg3nPBSrJlUziKEIs29zj7CJ+3GGGprqRsQWnLl2essF3Ne/NpXaaqaT/34T1Abyyvf+hbjfk5dVyxXC7RWbO1seaNUIbz5WycBZ7wpa+ja8+yu0PVgvJFuF1eEfd4SJJaMhabGtNrUlQfBbNNgG0OxWDCbnoDzXZVJnpLkOb3B0PtDxL6jo+cEO1euMtm/jxv2ifOe14G3jt0LV+gPh+g49oxU4U2ufHfFusjxfUGjlugRPrbOUZ0sfDw3yvkwmEmeHus8QHSJz+mRZRlz4TsfW4JBWzhP09S3iAdzRc+29bIMWZqc2guMsfR7PaytIeR/bcdLC4JumgVvYtabYzMWbc8x51xXDG1Br9a8sj07VZAoa/WETdOe2d582PNDHHEcMw9ArZSSoqwCwcLHmcsgM9GClXEcd/l7HLdruPGmbsZ0ee14PO5A6TiOmc/n9Pt9Wh3nwWDgTfmiCB0M8Kz18mVJnnQgNdAZ8EVR1EmxOSDSiljroMPquyyaqqI2hn4vI9K+E6A/Hnq5FRUTJ3GY0444UlRV1emJd3+vbkhijdF+vlRlhcSRRIrze3uQJOycO8+NJ5/y/g1pStLvU9YlaZKQpgmTwyOmsynT40O/R0rBqiixUpIOMm7eucX8rbd5/JlnufrYE8RJ4oHDzc4JPriAejbeaYt+LYB/9uc2xybB4sMw1mQncHi5CF988b40xtU01uAaaBrPuFVxjKsN9ary+EkUYQMbHedQIhRupS+xtN3z7VkrkCBUyHXqkNPGCGt9kUEIFI7COOqyIE9ihPKM4XjQoypLpFvLqIn2PxEKlc7SdpL4db0utEmlEAFP2oyV287Nuq4Bgnyj/7ryV0ElLFkvY7H/kN5WTukiDA2TB7fAlgwHI7I2BtcJ/dHQxwi2orEVt956hd3RLvuTFV/463+XG089zpsvvcTdN19lefiQxlouP/MJ0rzHH/3zf0Qm4bsiZnj5Ks//+E9x67VXGDlHOZtRVl4LPRuPiJoVF7dTzvWvYV3E7OiEtD/EGcPv//N/yuG7r1CjuPzMJ6msY//okHPnL9MfDLDSYF2DNpI4UkRJhGsqDJqiqtm++gzfeuW3KXd3ufb8s1y/dIXeeAuH8QTJuubFr/4hN999l7/yd/5LsA1xr0djaqrZivnJgsHWFnvntuhHmsWyCMXehndef41hHHF0+222z43pZwlH9+/wrd99F5n2eO4nfoZLTzxDbzRkb3eLa1cvUSDRsc9hnThd8Nuc099/vv/HOVv/44DDYcFJIVBSebaJlFSrkroszvyo6ypyOhg2+EB1Dbx48fV1oNe5Koe/o7XukkgfFK83LZ9UBqdV59un/OasSbMeq9UCh/Wtkk54HcvGJyIt6ydQC/17SZKuirqWkYA2SF4/iLWRjm+Rj5lMJljrW9mtMRRVzd65bXb3dpAy6sgk7SI1jekOss2H3AYZTWOo65qmqbuNw7OkbZcIb7IYQQFm4+sE3TgQQbdMAMGNLvyt0xV9KSRKCBLpmB8/5HvfPiBKM7L+kPMXLtIfjjwzQwZnxcAyaXV32mtoA+D1JupZT+tC/Gnw45Tm0ca/G1Pukb/T3q9HMcwePXXXr7k2D/pg47r2Wfuf8R9/GMbZa9kMHDe/1l2jACE1Fy5f5t3XX/HtpWG+1lVFXZTEuW/VMo2jLCvf4lh7t+zjyQnOWbI8Y2d3lzRNSdKUOEtonCPtZVy5eBGFZD6fAaCVIokiisJLUXj2oF87onE42/DW916hMb61rGU7aCW9TqMDU9UsFiseirseBAvMSoGgqgvqsmK1WnE4OaaqKs6fP09/0A9BrEUgu7nl5+vpCvwmKOVZtOtArP1ee2/bsWZo2eBs64tXLVjt17PAWEddG3Z2z3O4/xCcZTAYeFaIEP6+VzXFYkVRVExPZmitSdOMMq9J0vU+JcN6tMbvGVWQ0GmD2X6/TxTHyJ5CzuZei244oKorpsdTjg4npEmMUrILqqXMAjNbdO7ZOtL0B31vkDVf+pbDumI2mxElMTqwlHv0guael8UxjUVJzRppdhRlRRP0Np0jABAeKB7GkXe7TWLiOCJOU7LegHw4QsUJQkYhcBcI1ufC2Tm/uad+WEab0AW8ww9Bpxd6eHjEw/0DtIpw1ptVTRYLsiylyVKk8LInQnumQqwVaaSJIk0UKZYHDxkMxhiZI+MYyoJRXFIuTnj7m9/giec+zS/8yv+W1196iQdvvY6rKoQIAabzoEXW6xNrTVHMObl5hKwcD08eUlY1dVMy6ue+3TUkuUrJwIByocAAEkdjvS5gpL0pBUHbsu0icM7ruLVrz98bur24Zfx2epi8v0jY3U/ZIm9sJMftMXP6d0+B0AGIlUqFfaXBNMbrfgedRx+fOGbTGVkcoyJJrGMWs5L39t/gwoVdhFBU8xO0VAjhk21XFRSLGVZKKlOi8oxmseJwXjBsLNXNt9G9HnHeQ0lJVVYsFkvG46HXlZUCU5ugCWk5mUw8+yo4oRemQfczxhd2kO/EPP3cp9nZOcedN15Bu4ZeL8M6w2g0RmlF1ZRehkA2REmMSiL64yGmNhwcHFAZx5Xd8+zs7fLw9nucH2/T3LpJMZtTGpC9XS49+xlWqyX/h49/hl/7Z/+Yd995jcefusGVJx/jG3/2Z7z0zW+w941tPvLJT7B48kn623Eocuk1tHnq7Pet0x+GHNWJBicahFOh+P1+1kdbnK/r0rd7hkL4qvBt/zoKckfO4IzB2VCEwLdCytCK2hbQZQCMEXT+FIJAtBBtEcZ1c3S1Kj3Q0XVriC5Ob99fCxopJYmTqAN2rPNyS1VVUdder3S0vcPJbMblx66R5xm/9b/8C1bHh2wN+4z6KUoJlPANYS6sQ6G0L5BKRXl0m9eO7pKNttm5fAMl4ODOu5w8fEA/T0mzKOipOqI4pTaGNDCr2j3emtDKqqMgTWPfZ65qRWglDeClkF4f0jlYLefUjcU4kHHO1u5Fbr71Gr/x//x/kMYJcRQxvnydb33tT7l04RK9LGZ2cky5WIJzXLhwnsFgQJL7LpokSWn9ADwT33t5EBJzCLtXKPZopYP2ZZDWwYNfpm5wdeU7N5oGWgC7aihWS6ZTr9lfNw1pnpH1emR5jyTLUSpCpwlRkuKkZjAc4pzjwuWrqChZF9VYg9OiJU2ETbaVMfi+cz4Aw1Y4pPXNhA9efosX/6//jKqu+ZH/03+Nvr7zH7iy/n8zHkWqcK6VFaMDVAHSNKWuas8kDVIIvlCeM5vNqKqKfr+PCHraHnwtvWHwcolzhkHfM2jLqiKOZDdv67pG4XWDZWC/doZiXQ4YzknWEoXreD7sGeHsU5v5TfjYBLO5rjNAqSBLsTa/8xroitHWNnfv3SVJEpZN4UFr1rnsJuu3zctb07gsSTHhLE+SxBeHtfYeGsbgnKCua7a3txlvb/POW2+dymvj2Osux1FEU1Vd3u5lKv31KKU6b4KWuVxVFVEcoyONVl76RWtJXVcoAVon6MbHSoPBgNn0hMFwwGq1Is9Sz3gnxAfuNInLBkDOxzLhHiuJbARYSOKE2WLKYDTk+c9+lihLaZC+mCd9AXEymdDLEpJIUxWWy1cucXiwz8RZatOwe/ESx4sFo60dPvvc85y/fI2iavjud7/LYDjk2rVrSOE29rj1ObO5723my5tn0feLiTdzmg8LOHzqfQqLqSuq1QLtLJHzcbKxoFWCFBatFFUteHj/IXXVkKYJQjhMU6KkQgmNcYayblDCEUV67V+BCzrs0BhfiHVVidAxThik8kRGpySN83t5sSwppcAuVwyyFCvAzmYeV2JNgPBZqcCZxheFCWTMFiNr49cWWzkDDLejzU3X+xhAIFgK5efdyUPGucYgiJKYYRyzf/SQvk7pDfqUyxU4R5Qm/qyUCqQmiRN+7Ec/T1M7fuknf47+9jmcFlx/4lnK1YL3XnuNRVFw9bFr/NY//SfsDMbILKOqau688w57Fy9xNNnncDZja7xDlMFot0+epRzffZesN6SsBRc/8iwff+wjlMsFv/cv/z8UD+5z+fINsCXvvv4S568/QdXUVEVBgqEngdoz7KvKQpQRAzpKMK5hMj3iS7/4N7j25BPsXriM0BE4R7mc8fDW20wf3uW9F7+J7O0yOZqgcWRpgrOWoliiIsGFc7v0+qmPuxHsbo/obQ+5mF7g23/yVR7cu8/HfuxHuHjlKhf2zuFMzbysqFcT3nvzuyxnC+qqpm4cH/nMZ5BCs9k490HklUcxiH8QIfIvMv7DDem6N9FWVX0gW1U1y+WSqig6Z9Rusrc0d61CRXStM7rpuqjCodiyY85q+toAirZV6LOgjcS3QUshqCqDEA1JkgGG1WqF1pEPaEMwJaXqtEnb12qrau3B1r4P/75NcFp1SLnWWGqBQ4FDa69phhP0en2uXb9CHAftJdassJZt1B5km3/fGBOCCM8UtkEryVqzDsSs6e7DZrV28wBo//W3eF0tbPWtPCgjuupUlxhLkNIQSUcUKepyyapccexqmuWYOO+RBLBLaY2MYhBRmBdtJVp1n7dJyQedMR90YH3QIvl+h9UmM2dzDr7/d9eb8ab2ZQs6/MdcdP+5xwfdv+5eAVhoMAy3xzjnZSRClsBqufDGGbXGNLVPMJeFT+yqmuOTCeDY2t6i3++TpClRkpCkCQ7JaDzi3KWLqEgj8EZM08mE+XTBce0Zb01do4RExRpnJa4xLKZTbOOZNavlzCdLxnhQbOM5i7ZCHGRhlPZgTlPVlKsV+w8eYhFcuHKR0daYpJ97/d4zxQSPF8lHzIl2rgAfmOyfvrft4W2D18FysWRyPEElMVGeU5YFUZxwcnxEbzhge3eHJIq4d/sOaebNwEYB/J4dT3wAvlrh7JiyrFgtV+R5dsaV3UtQ1bXBOF/MqtuuA3zSmWY5mXPMVyvyXo+mKKmXBdP5jIeH+6S9FDH3z0FHCqUShFTeclP4SvVgOGRrvMXBwwOOjyckaQrWtwZt7ezQlDU6jYmzlDTLUEoTJSk6zgDfoVCVZaeXaK1BatVpNTrhzwKtEpKk1+2TKAXKy9DQmmviJ++pFlAefZB+eEbLdOX0NWFwQrK9d4GHRxPyNPX6aA6SLKeoKorVBFPX4BwXH3+Mrd1dDu/eoViuiCKfsOV5ilBzYu2Z7DaJUUahI0PPOu587zvcfvdtPvMTP83HP/0ZXv7O17n/5uv0pCJKY+LIaw+KKCIXAyJVE+sCHcPJqkEXhl7uzw4ZCoKtoaMTHuzFGhSWZV3jEESRDue+RUUxOoqYTqdYaxhvjdfIoBUtwS6sVcD66dCaPsG6eNwmi/6LG3GDjtYAc3jps0XHdljjQLRgdQsS+DVetqY94W+msSbWGiMUTnp90CjN6fUGnDx8gDOGNIqIkxilBFGcI6XuCilaCwajMZ/78l9j/8FdDu7conj4EIUlkorlYklVVkRakmaa2nqWmXdhdywXK+qq4uLF80hnMdUSZypuf2/CUCnu3b7Fsiy5+uzHefVrf0oUa7I48p1BeC1Gn7AbmrrEOEevn7M4npIkEU996jM89xM/i05Trn7sc5hVwUfnE95+7Xu89ebbXH38I0TpABmn3HnjZZ77xEcR0qGqOQ9v3uIb3/gOH336aZ796OMMBwnl9JC0P0bHKVI5HhUk/CBm1A/VcI6VEzhXkwgQIkZh31dSdo4OYIE1OGetoyoblBJIiXcZ30jyz3azdK8bzi+lpO+wwdEa3LSv75yXgpJSMhwOfVyGwzhHYYzvapFr3V5vNuXj3bIsu86vViZGWYtSvhDxhZ/6ElVZ8ke/+evUkyNGw5xBPyFJNFoSJFF0ty6l1viyqSDS/n64coEoFjy8ewstHHmWEGuJVq4DUl1jEFpQVVXXmt4CxG1x2TOBHxHDhRyjaSofO7s1sNIaVUvtW/rrsuLylcuc295mcnxMnCZkvZTFfMG733uRsqpwxhArye7uDmmWkSQJac8XxUX7vPTpe9qiTa12swnkjMY0YBqa2pvk1VXtWZx1c0o2pGm8gdZ8Pmd6PEVJRVk03glea7I8J8kyojgiTjN/7iYJMkrRccK1pz7in6NZ75XrszKQOMQ6Nt6MhT7oTG0ZqT4DctSTOS//g/8Zc/MuysGbv/YVPvJ//Dt/mdX0n3FsCu/5EQRBAL/XZ2m6NkOTkvm8wDlLUZTduTOdnlAUVVfET5LE6wyHWEeFguNisYBe2klPbJ5j7b9t/tbmUh0Tt5dTLFfd7wghuq7YrN9nfnLiryjkiO3clFIGM2k68FqINWmq7UZxzjGZTAJRqVkD5u3as47VauXB8rru8tG6rn0crg1ZlqKDUZ9zjlVRsFguOwmbVlbi6OCAPM+79TIajbo9S0qvr29s05253mNEdSzYltjVEq68/Ecars/L4fT6/cAwlsTOextYIO31cEKR9fteO1zJTpccIBZeUkBJ6VmoQWaylYlxzqCTlKiqwUlq47h25QpJloKUaO21zCVec5WmZjGdY403AqyN4alnP8rLL75I3h8y2trCScn2zh5pr8/+/j6zxYosz9nZ3UXINfO3JbecKmicWcenCt4fEBtv/s6HLX5eX2dLSHNgrS8OaI1zIAOBpu1uX60q3rv9AK0TiuqI8xd2SaRA2hKnJHSkBnB1QyxF6Knw3Z82mIu5tlPaCmzjqK0nVNRh/ZqmoXGSxz75I9x+7XsYs/LFUmuprfOa173eKSknay1KCM/0dQ7pXJAxCh0pHSgcrtnazpz1fUCx7Xb3zqtDWkeaeE35ajXDCY20lssXzuEaiwnz2hqDBlScIaQmThKcMSyrOcv5iqOjA47nM44OHnD9qWfY3jnPE5/+HMJa/uy3fxXVFCTj8zQqZnx5m1JpJjffYawSqr1tvvi3/yvycR8dJ/zeP/0f2b91l8c+MuLV9/b56f/6pzBVw7/6R/8Ae3SHvXOXQGu0EPSSiOOHd+mlie+Wtw0aD9YfnpwwWS4Y754ntwalS2bLGTff+zbjS0+g8x7bl66iHDSrJe+98iLHt96kWS2ZT4+58dRHeeHP/5g8lSQhJnD9HlkvRym64rqxlrt373PBwesv/REPHx5x6amn2B30mO0/pJf3mC8WaK2pjg/53d/958ynM5xxfOrzP+YZ5kHGapMY8f3IjT8I//rLrtu/NDh8FgCxHcOu1aH0lHqf8FehwnJ6o5GhTdgGk5xNjV1jTHBa9VXRzcBuMzhuQdG2WnqauScwBhAWpUSn07tczcPr6Q5kTVLvyto6GW8GkV0yAt4IJgSfUeQrRmvm8/q+VGWFsU13aMY65tr1q15DVIgQBK5lI2AdIGwGt23w5w9izy4maKQZY7Ci3QRFSCZ1145jjPHswI37t9ZWCgGBCmxea8E6GuOIstS7N3bBMqAUsfJaTa2wuvft8y2MoaP31L9t4rCZXLtTH60n7SaL9VEVkn+fOfionz07Z84ulHbz3WSub47N9rezldfN1/0wjbOH/eb1nL0/SWiLPD4+7n6vXBW+xauuscbPDyEkk+MJk8kxOlJsbY0ZDAfkeY84SYiTmMZ6luxISRYnU6qqYrFYsJidgHWeLRikBCKlaeqG1WKOtZ6NrERgwhqvM7hcLEJLddS9f6Wkd4ZlbT5lnddUXC6XLOZzIh1x/vw59vb2GG95YzZs3bmntom5CxXZU4xq2jnUGlC2c/t0QeNsIObXmiKKNUmWoCNNURaUZUm0Krr5J3WEW8yJs4wkS4nSBIoSrTWl8K2LbeA8m80YzAb0ej1WyyVV1SdJky6ZcNY7ZWvtpW+q2ge1UkpWRcFwNGLn4gXM/j7JYk5VFN2zYgGz2ZzJZIIQgkhr0sDa9YmORDiFVoKtrTHbezvsnUw4PpowOT5GSUlaVRwdHhIlCXGeERUr4vnCs5eVJopT/7yVB9qa2rOhpJSI2gfcURwhpd+7rWxYzWcoHZHmub8/SYKQFiHj9XNw6y6TzWe2CRB+WEw1/PjAKhrgmTTT+Zx8NGR7e5uqrFhOZ0hrUUKSpilVXTM9mfPg7n228wQk1I2hbByzxZJ8Puf61Ss4WyMURLHGOc9EznVEZUq++ZXf5COf/lE+96Vf5PCZT3Lzu99iNTvGOYswAhU5SmNAScY728goobZHlKsCY3okyVoDGOhcknWSUNTejCftJ6g4RlmDqEvafKc9G9M0CZfensnrRKeVVvigPX9zLb//jPFt5f7jR7PF2gI2QuCM635HRRm1U9Shu6csi+7cd8q3rh6dTFhaw+6FK3z8U5+iKFb0nObw/l1ODo5pqoLecECvPyAPLGxlGkRTI43l5W99hy//b34FgWS5/5Bbb73KzTdexzQSoY+JoxisoKkMtTCBuRaRJAmHB4fEccylSxfBWqq6BqnojcbsNRX7D25jrzzG+MJFjiZHPH7+MsiYcjlnuVyyXC7p5Tl1VXXAQbEsWTVwf/8AoXUwDVTI3oCoN+BTe5f46I8U1I2lLla8+LU/4Su/+a/5a7/4swgHDx885NZbb/DFzz3Pj3z5p5ifHHLw8CHXQmFZqdS3gX7QiviQ5KnfPSn5yus3OVgZntvL+VtP77ET+a4t2JyHjqZYeUBSCKwUwfBJYqwJ3hWtriBhvgsa5xDO6yBaZ0NBNCSMLvwV6+eqtX7va4IcWhx7E2Y/Z0viOMLHzN6fwwW9TW/25mNz35pa0TQGpDd285JDEqklkdJsbW+hoph7r7/B8e3b9Ac5WazpZSlRJDrChpCKqA0YfatSAGl9wuqEYHpySJJENEVBrDVRJNESnPGGs4iKpikxxtEYSJRnILZyGO216qDLSsg7vL6qCsbJPuE1xhLpYDqVpFSNRSivF2yaJVI6okQxGveo64rF8T7OQqIlSdJDK00ax4GBrEjzjCSNfaIegOhNubh2X/ftzgQNfuOL3o2hqSuauvGt78Z2etRS+DXY1A2L5SrEAnNWqxVJkpLlOXkvZzAckaQ5cZYSxxlp3kPHMSrNyYfbZP0xSmpmx8c+f7MNpq6I4pTh1jaE/XBzqf37AkUCfDFcOO5887us3rmDxtfyZjdv4wJh6MMwunPEnf7csS4oCCDNslNny2DQRwhBltUdmJokXk5wOp0CoSAUigNRrCnLynPJU02/3wfoPDta07TNZ+B8Ike7l5ggX9a+j667NuSLsxDPbeqOtx2wLbjbeuu081QKESRHbAB4DcFDnSROMI2jqnxhy5Oc4o6k0OazrTRGlmWkccJgOPT3NMyj/mCADl2Dxvj71wLPWZZ1MVue55TBvK7VQG4aQa/n2/GTtotVCLLMkw+MMcRxTFEURFoTxV5yyjoXdL99/mJCh6GzYJ0hlQolBIPYA8MCDwb7PdYXpVuWv9cc9u9bKxmKBKFI3DikjFAq4sbjN+j1ekF3u6EuDcKBFt6I0Ghv5qejBCUFRVlx8ep1TiYztvYukOZ50EmH4WDM9u45XHjvxvoujrMeKO19br+2WdzZHGfX9Nmf2wSVP1TDCRAKoSKs1NiqogxSDMY21I2hqv3+f3h4zP50zic+9QxXnnqWnfM7fPUrv8dq/z4SQ6I1eZpCFKO09nhQIL/5Ioz2gGmcsCpLmnJBpDTCQm0MThiE9ACjdQ03X3mVQZ5iFwsUqiPpaR1153y3DlscpcVsAFfb9fEpCMCwjy02VdXauAECbmbwMmJSgXBBZs6gpARrfB6Q5Zx78mMc3H/An/zqr7F3bsx41COOPIBphSJSirIosHWJqQqEgMnDe9x69WXcasH9V1/m8lPP8uznfpzp4QPeefEbbPVSlBSYcsn85oKecJimYDhKcGmP5fF9XvvzlxFCsf/qd1isluw/eMDW9jmkkHz7q3/Iav82O+MRItY4W1EZX8xKlGFnkHjCihBUpqJsGrL+gGkN+WiXOy9/i3K1YllU5P0hennEe6+8wNNPP8FyueDWqy+zuHcT0TTcvHtA7/wT3L55i1Evoz8a4ayXdiVIc1nT0DQWS8V8vmB6Mmc+f4d8tMNPfe6LPPH883z9936LO7fe5erVq8wOj6iKghvPPMmXv/xF/vgP/piyMsRpFHL3QFARwZPhEQWcR+FZH1So/cuOvxQ4fHZTseGAwYE1of2parCNxaFQSR+pBFVVEguFxFdHVVhEZVGdMqpp6sZrazmHCMBT45ouQWvfgyO0hAkvuyDxk926NkEkMC4ECEdjvJtypLxLqjUW5yRxnHYsXg80Ex6QwrODWmdTD3Z2G+2ZB2RDNbJ9DVzQdJOS8xd36I9yXDB/860D6+rtKS3FtkJjHU0TzOeMBWPAGKxbmwU4v4NgGuuNKu0ajIqjhLpqcECkvFlUO/k6YLpxWOOF+rWW1KZGRhmNU9SrY4Srw3331ee6KFFOIIVuJ0Mnzu/JDxLpNKBAiq5F8TR4RkjEQzVv4x7+oMm+Of59Kibf70DzLX5rGYGzCdsmwHfm1WkZox+Wc/KDQPMPrAyLoFetNXvnzzFfzMNGpTl48MAHMsaEOVFzdHjgAapexrlze/T7PQ/iZR4AbKyhDnIoD+/fQzjZJbuRVshQaDFVzclsznKxQApJmnttUxekYpy1rFYFUnrA2u8DPqhttb9NXSIFXUDYGgzEcczW9jbD4ZCdvR22d7fQcYRw5tQB/P452M7NdYDkmQuB4eROf2/zZzZBSSklcRIzGo+YnkxZFgVVWVIVpQ8GLIi6wQmvd+ispdfvc1yWKN2aNEYMh0OapmE2mzKZTBiNRwgFy/mCNE2QKtkAzDR5njMajVjN55wcHxMlCTqOSNKU+/fuMt7b8zIeeYVrDHVdsapKjg4PeHh/nyxJiXXEsudZCr5bIuyBUpBmGZeuXGaxWlA3JbP5Cc75hCHLM+I0RS3mJFlGHEUoIX0CrSOvFSlcF9C32upaa6Ik9uYmUgbzI1/I01HEYhaj44h80GcwGqHSPlImp9pezxZAHlVM+rCM9u26U1/zZ+7lK1f4+Mc+xnK+4OT+A7QS9KIEnaTIwJYoI43sD3j6ox9hcuddssi3T1nriCNNmqWoKPZSAsWyC0qklkgdkesMYyw3X/w6R4cP+PRP/gw7l/86N996lbde/A7aLMgiTVM44izFAoNRnySLWK0KVGix7VjfIbHyCWdFLCUYR2Qb7KqGrl3Pa/yWZclgMGhRh/ftWW2R9WxRd/O5n9VgPLUnmtPF2rNsi4650Zl0eUkb63yirDCU5YKyLDtGlTGWZWWYlw0Xn3yGn/vJL5LHKe+9+zbT+w85OT5msVxRG8jzIXVleP31txFCsLU9pp9FVHVDYQyvvvQdnvvil7h84wbppSuML1zi4z/6JTCGP/iN/5Vbr30Xe3RCL88Bx2w2YzQaMRz0OUwS7t9/iBCa4XhIXdesyjlZlhPFCanWHN+9yfjiZVZOItMet999m+ViTlEUzOdzTO1jhNHWFr3RiN3Hn+LTzz7L5RuPI4Xg7juvszx4wGh7l7SfM51MeOeN1/nKV/6IJB/C7Igv/dQXsLUnCty/fZtICi5ePYetKgb5iFneMNi6QJRmuDa8+j7J6IdhCf9P377PLbWLFRGvTVcU5g7/3Sev05Wy2rloXTDmbQtY/vtSSIwICUMAM7zMio/dVJbRLGsk3pTSCYnaPIsCI1YgOsabMYaiKLtCiVLqFGmh7bSJ8rwrypjasFqu/GuIoKkdzInDNuTZRwiK5Zz5yYS3X3+VZNgjyxK0JJhBtV4YAahowa5gHtnKXkopsQ7iYY/ZcYXSfn/QSqMkGCyuCeC1ljipKRsDNOhIezZlC766jqCLDfrcIDqgzbMLbWBo16g4wgmFFRBHcYhhjZdmampsYCJGSbzeI0TU7c1SatLUd0pJ2RaGZadFK4TweU1gnjrhC2U2EGqKogigsI+XfPzfUJUlxXJJsVxRFCu/15g1cKPjmKzfYzAakud9eoMhUmnSLPcyNElGPtqmPxhhQkwunWB75zxO+Bi+XC24f+c2Wmt6gxEtwnA2PtzcOz+IeIEA2VgefutlpBUYEWLqukHWhg/D2JQm8h/Qfd7mmetCpf+3Crq8dVVRFEUHwnq9z/U6FEJ4c2ZribqiuyLSGiksDx8+7MDVlrH/6OHzM9/RqjB1fcqATgjP/m3Ztm3hxIY2tjYP3cyvN2NXBwG0bWglwcqm8nIXzRxoDdHoJMjaa25N25NkraucpElHiGra9+J8p1+/38chKIuy+/1WZ5nwPnyHnGcda+m1vK2x9PuDDpRuGb4myPRIpXxHm7NBYklRG4NBeDkapUEFIpf0Hct5npFlGcvFHB1FvuU2+Pi0XRSNadZ5uLU0TU1ZFAgpiFXQG0eS5wN2dvfY2t4ODFRB43ynRWvq3DQ1URxTzAtqU7O7t0NZVhgEs8WSq3kPqRMPRtLKAlkslqbrxF3HQy0G8r7ZspH3dfP8EXnuo3LGs7/34RgOFzpI9i5eY/+Nl4iUpjI1pjEsypoSyfmr11EVPPmkQjcF9175Fg/v9BmPRwwHI6I0pSkLDu7eRpZL+i5j0Ov5HDYUfB1+XS0WsyCzWHtWuXU4uUGUc45UgiyPsEaTxBFCgmno5nDrKRVFUbee2jXZysd4DEwghQpnyxpr2Xx+NsQCsk1ahS8eWwcqSIxKoUJ84fcyGeecHE852j9gd2+HwTAnSSOkA2McyjY0dUlTlFjjuH1vn+ViwWRyQC9JGJwbA3Dvu9+g3x9S1gXSWYhSDIIs0560VdRoJxBJysnDh7z34jfRymKbmmVhMI2AOOWv/b3/HTjHm6++RKIioiTHOR98NNZgbc1oOCbJelgIsksQ6xirIqRaMl8sWa4so0GP8xcvkvV7zKczjh7c5df+h3/A1rDHYJDhqoKDoylSSZrlhEGesjtMwDV4aFJwMlvw1pvvoIRD5RmDrTEP7+yTY8m3d7h84wq9XPHgrVcZ5DnDXp/f++3f5crlK1x9/AmM1Ix2d/mRH/8J3nznXd55602Icq498ayX2TrbKvoXGI/Grf5i4y8FDp+qXNIuCYcLIE5TO6zSjC9eZLi9QxTHWNNw5+ZNFodHfsOUXp84iROaen1YboKF72c0etaDEBvfD0mmMQ3GOVQwK0Oq7oCTASCWyqP8Wqs1aBpF1IGhDATglND207bwrFtJ2gpra/whpewqry6UU5WS3sBCSLSGCxd22D6/i4tSRJpRFSs0PrlpDz65sXEIPEO5TZ6tdZ35lm+BMF37EjikCBqM1uKswRqBRVDRIOME1zQIaxD4alcLZvkRkmTrXdi9sdGC608/zesvTpFVjQwba900HnxWGp33cDpBJT1knAWTMeVbW7p2Fg9WS7XWau5ADreWlTgL4Jytev6gOfhB39/8+NGA3xr0a+/F5u9utnM96m9v/s6HYfyg+yVEy5QWHU1CSMFoNKKcHIaKY8OdW+9RzU5wyjPVVrMFVVkxGo04d26PXj8nSWJUFHmjibJEKIkSkqYuWRWtoaLXIBU430aJA+td0COl0UpRLlYU5YoytKRhHcVqRV3XlGXZMQ3aljwpBSp4RrUBchInjLdGDMcjev0+o+0xg2HPs2Algbl6NvhZz4/1/Xl0QnR2mm7O37MV+6yfMzuZsr2zjTk85OTkBOc8wynJMrIkBQfKGDCWuvBGgDqOiaIKl6b0B14Hbbn0bKHVakkca+qy8r8bClAIv257vR6j4ZDD+w8oVgXFakWv7DE7niCUQmoPFDdpQbVakfU82ztLMsqiZLUs2N7aZrlYEidJuM8RremXk47h1ojLVy/hmooH9x8ync5pGkO/6hMnBVESg3VUUgVd+CYY3UmiKKax1jvEAwJfJFwtlrQmW7281wF7cWJo7Jysl1OXFc5axudTEJrQXXUKAPzwBrV++OsIn2xcgr9WSzYY0uv1aeZT+uNBp1mG8FC5tRZbOK7ceIxPff7T/ME/f4ck8tr2MshAKa2piiV5f4DWEW3C6f+mIFKSONIo5agO7/HOC98i373M1etPcuXKNb76u7/BycFDlvMlo0uXPOhbrhA4siQG5+VfWk1TKX2BuHZ1MGnyzzZqTZqkXBdZN57dJuDTFvPOFvE2AePNIqF1ni0IdOCj1151RNKbfmz+Xnvv3/csrNcO94VYDxJXVc1iWbJcrqjqmqqpKGvD7uXH+cmf+kmE0vz5H/weB7feI5aCYc8z+m584uNMjw85vHeXk5MVWZrx4OE+CwRf+OkvkceaxWzJalnw9osvcev11/n4p59nsLOL0hFSa77813+Ze5/6NN/8o9/j1s23SIIbezFfIpSgcYZZUeAOD1nWBXVVk/d6mPkM0VTUdcPR8YQnP/MjfOL5z/Lv/uAPyM9dQC+XzF97hQvnd8iyHGsslYrpDXqkacTjH/kIMvaFgLpY8dp3vsblvR1O5nOG4zFvvvgyz3/yY3zs05/n63/4ewxHQ8r5CVka0esnjIZXOXf5MtJYfvPf/AY3D4742E/8HMnAIWhNVx69Zt26rvxDPe4WimbgDWhKlfDSwZLKOhLpQYm2Ld2xNj70qWzQvBfeI0JphWs8eOt/1mEbx4WL13nw3nu4cknwNDvVjugCgOALHjJIlFVIqbv4uD07PTiku68JoaibhsViganXkm9RFKF0BKLtQgt/Uft1NX1wlxf/5CvUs2Oy2BtNC6CqGuLIy0m0wGwb+7pw3m6SP7QUFJNjXO318nGepSyVPyOaOrCF0hiURuiYpvDnG6wBLm+go96/T4S/17agL4uC0hqyfo+8PyRWwc8ggMfW+hgmTqOg7x06ioTAobwETtA+TZI47J9rnxQpZLeXbc5q5xymaaiLkrosWS1XyEh3nTRVVVGulsymM5aLBeWq7LolZeRBrzzPSdOUfNAn6+XEWc+zhlNfkBU6Ih8MEUJy/85t5vM5uxevsnfuPM5a7t+9xdbuLlk+ZLy9x8H9u6Rpjo7fnyKuwdDvP0Ro2V7cfuifrvR6mSqNIfrB2sU/LCNQabpP2vNYoKDtmJXeABAZkfVHxFFEvZphrGeAKwFZmlI3xpOPAgnKGhekQLxRXZ7JoGFfkmcJWkkGvQFpmqKCLExV10RiLaXmi/UAwVNCyQ4Y6a5B2E7DWgvhCUHOM9WL0NmrlKK2tZdpqH3XUaw0TlmaoIdurcU2llj52L6NL7y8ow0FGEue9f18d7IzzOr3+74wLCVOChpribLUF1/wck11VSG1JOlnxLkHzuuqDl1GvqgSJ5Ev/ihFYz1burS+q0VZiZQRaW9AP44ZDAb0B32PN2hFmiU43yBPFMVdXt2aTyZJDM7R1E0w/fPPSuuI5WqFcBCpiKapsbZBSUEcR9RVxWI+697jcrWiKEoWywWXr1yhPxiRpCm1k0FSQhOHbj5rmiB1oHCuYaSHxJGPwdIkZjmfc/XqBaQwVOXcFw+07MhtMk6R0pvhCWc3jOU28xUL+Hj9FMHuDGHiUbn42SL8hy2OdtIirMQ5xc6NG7z32repLEwWJXG/z85jNzh34SJvvvI9Iltw/uIueRJjTcmqqjBVSV2UzA8rFk4yuniZ5WRKZWsaC9JajPUnWGUt0+mMPEtQWBonKRtH3TRoKSDIFzohcMIDwXESdx0lta18V7mrW6oaTRNA3A0soiMTSue7yXWMh3Vth8u1fgTtnJRK0oQ1CsEHSoU5IYJWOdLrf9c1i/37uP0HiKokzSTT2QnlUpFlPWJtiFMoiiXTyYSb795lOB6xs7NFFEWkeQ+VxDipGQp49Wt/zFOf+zwyG2LKmsauaGg4WczYuv4Mr/z5V7l8aY8Xv/cy2ztjjHHEScJHn38eYWrqOCfW8OoL3yTSmqPlingxZ6A1WZoihODc3kUGwxzfJQV11bBcLKiKisl8QTreYT6dsLu3xe72gCgfIJ2gnJfYckY2HDLMU7RUVEiyXsIgihj0e2RpQmMq/9xQzOuGhdUcTRZcOb9DmvXZvXidrL9L8eA2V69dZryz5eM1W7G1s0VdLIm0ZjZf0L94GZFF3Hv7Lk99+jke//jHqWrDbLZkfnJEvrUNiADcf3ABtsVANyMK0RIr/gPHX1pWYp2shTfoLKapWa0WFMWK8fYOItLs33+AqRpOjg6pi4Ik0b59W/pAKc9zVquVBxLDhqQ2qpttS4oJzJ4WxGmNJKTyukNXbjzBfLnk8MFDXN0gXavZFwXw1iIVZHmGKWusAePW7cVrsLsFiaEN7NpWEhcqrda0QLG/AVJIjHVIJYIYufW6elKys73FhUvnkbEmHQwpyzpodtrub58ChoXwAUWQlOjc1QNbuAqaoUJ6kXIZnGWl9sF91dS4xmCsoK5LEh2Rj0dMj4/IEMRibZwHLRhoCfYmPvFAE2cpV594ipuvvkIWXOab2tBYB0nCpaeeYrSzS6STEBw7nGmCuUBosXD+4AY606FWQqQtBDwqof9+8+0HVTfPfu2DK6JeikNsMNH8985WXk+DBB/EnvhhH4861M9ey/pyAnMdD5j0ej165RKEYLVYcfRwn8X0GBlpX+CJEs7v7LA1HhEnMVkv84WPpvEtc9YXjhbzhdfMXcwoS68bFsdJNx/jOKYOWoZNU6OkZFWsWMzn1E3tdf1s624uMNbrhHnOsUMKSGJ/WPT6OVFrXBHH9Po5Wa9H3stJ8wwdifUcFD7Z9K1Bp4sYbXK51sluQWO/+P8igZKSkjRpW+oEQmv2Hx5yMjmhqQ3lakWd5fSGfVRTU69Kb5anFE5Bfzjg5Nggo4gkz0lWOcv5nNl8QdbLWVWF1y5OvPa3w4Jw5GnKoNdjd2+PO3fus5jO6fX6KCFZnkyJoohs0GcRNNWEWLtJ11XFfDpjMVxgnWEeabLMsxciIWhd75Mk5sKFC7iqQauIOD7g4OCQ8nCFVprhcISwjrKuPQtaKQjhTJbl3lTHNEF71Ztn6SA50TQNGALjxLfyOxxNWaGB2WTK9u6FkHz6AOls5voo1vCHKcjdBH3OflUqzXh7h9XxwwBKyA70bM2YKmO5dO06q2WBFj7ZWWtf+hZ2LSX1aglKdkwgGbo/vIZZQ6Q0zhreevlF7j38fa7deJwf+4W/QZIN6O06zPY2q+UCZx2R0iSxCJp/CilOn7Gt7Is3tgo6/W0vXDBpIzCX4LRu8CmzHU63Um4WY8xGHOE7WdZJrJAKgUUqr53ervXN1+ju9MbnrZmXEL4Fv25qQFI2FpmN2Do/IhuOuHLjOov5lK/+/u8z3X/IoNfjxtXLHXvLWTh47z2OZ3OczhhfHHv1Oh2xc/kK1689yW//y39KqhWREszvvktjDW+/8iJ/97/970nTvgcrYsX5a48ho5T5fMnNQy/rEkearfMXuHDjWT77C89y7spV3nzp2/zW//qrHD94wPOfeo7zV68xPpdw/tx5/vx3fhOcRVhHPR7TH43Z2dli78IOSZpSFRV3jheYqmL+8A7vvPAN4rTH9pUb7F66zpOfeJ7p3XfZ2j3HdHLMi9/+Nk+WDbFOuHRhj6pYsJgec3BvSdbrM9za5sG9A174xjd47/Zd/uqv/D3yfsYpN46NcarQ8xdYO/85xxNjwyu1b1fWruLxgSSWPjGEAA47bzZjTSA+0CbzIRYVEmNa8Hij4wzJYlmQD4cUh6vwe/gus/Zj6AzX2g4uYzzbTDpvTKXi1psjtJVbqMuSql5RVXV4H359RVFEHAfphq5AE9aHaUAKlIX65JBcgdCaOE2wdY2INEfTBYNeTp4qdKJCu7b0Z5Xz54lvofFxd7FcsSoKD44pjRMeXAa/Z1R1ReMc/UFCrCNU6qgqz4o2tV/nVVVjnfVdQlKtk2yB19RWnnU4Lw1Sa06OJ96ASCmEUx7QxZLG3sQaOhIhINFK0ViIIk2SJESxl3FyBNmcIMvBZrzlddd8p6HxsllFWVCtCkzLPsSxXC6ZTqaUS88UXq6WIKQv3mYZo91ttI7I8wylA0s4zdBZjyiKfWdXVbKaLbh3+x6z6YwbzzzN4mTKaLfC4Tg5PuLeu28xmxzwxEefoz/aYvLwAavFgn6UdcXW7r236/AHzH3ha/m+ixSL9IEW6eXzEMU/4Ld/OEYLDLtHnL5+8xUBVHGd1IeSiqIxzBdLH9dGMc74AqIvBJiOxdfUBpwl0hpCbquVJk0jRJDastZ1ZnFCtp46G8UPpcLrqXAmBQA6GL62hRXsGjj08hF+nezu7jKZTPx7azV1raAoVgjhdfTjKEImMcvlYs38D6SilujT7jF13VCWpWf2ao0xddBzXXkpG6WIsxRjGpJezoULF6gbg0ByfHTEYjGjqisvBSNApylpHPsOY2sobJB2Cotwa2eXPBTIpY4xFq9THDbTluWvpKCuCuYnE5bLBdZ43xLnXMdUds6E/MLjE1Ech6frCzxJlGCV71iIkwTT1MxPpgxHQ1yWhY5KvzdlWY/hcESs4+D3UdNITVPVRNp3H5ii8DryUeiKE142slqU/l4s515XXQpcWdAY211TnOX0hlsoKdAiwjam65Jsmc1roNjP5BZPaGO/Nj76oHjnkWDUh2wI6zDCYoUjz3JWjSJJcy48dg1nFrz98re598oLbI2GjHfG9Ho9T4arIiwrKrynQ5YljGvH6uQI7aw3/xM+T26MQaBYLEuIEnD+/DINVGZJpCSucf6IjHxRv3CgpcemlNYIFaGFoi4LXN14Fj6eGNh2+bRncNvJZmqDVJGXUkzizmRZEEyfu+cY8nspcVIhjPf2sGENd7G3w5MdXDjr+z1c0zDMclbLJffvPuC4WjDOhiymJ5TW4HrbDMYLRv0ecZajogiHpCxr+rtjjNBsNYfceed1Hvvox/l3v/6vefutN7n2+BP8/K/8fc5fvcbs4QG3332NNImRWDQSiSbvp5QnE2YP7vNb/+R/oJ4taKxfX5PJCXVds7W9zWg4wFpfaLHOslyWLOYrppMJSgi2RyOMqSGC4XhAbzzGWodGolLNluyxtT0izmKqsqA3SOkPM1+kx2JNjW0MZV2i45zBzi5Pfu4prj/9BLM777E6OeHBzXfZunARmyVkaUJdrlgtC5IkIekP2dvb5eMf+yjxaIuPffbz3H/vPV780z9Bnr/As89+jMjCgwffo7xzk0txTJrl6Og0RHuWPCmEwJrT3mL/sZboX1pWYhM8E4E13NQ1TVVSLGacTCasygrT2K5Cr+MoOI170fi2chJFMdaWXZtEe0gK6S8cfFxluo895b7VQoqThN5wzFPPPc9iOueNF15kenTfx2LCBV0Vzzio64ZICZI0pih9y0m7mbaANOEQXlfN2q86TGiNF+Hg0Nq7ZwhaCQz/N7US7OyMuXjxotdvw7KcTBBCoqS/tk3A8VQ1z7aSEqa7J8756hPQ6QYrrRBy3dJjrUArL6bvwAcX5YKiSLn21LPceedtXFWRhk3EBHMv0VXDDY1pWDUV0+Njhls7JL0B1fLEAwhRBGnK5SeeZPv8RYTyGnXQNlQJb753ip3Rmih4c5A2QWnboFpw9mybmq9k+QsJMPYjgdnN6uajtGEfFdSeHadZxRvMgDOA9KPe64dxbM67RzEsO3Q0fC1JUq+zJMBZQy9LidUYnSbkWY80DeYraerb2kyDsV5WZjadcnRw6BkwZU1jDKuVb78WAqLIg7dZlnltcikpyxKtFVXl94SyLDvdtZYhoyNFHOugExhjrCUKbMg49klalmfoKCLJUvJeTpZlqEh32oynTObY0FiT79ekXc83ToNY/quPnJtnGYyE/arX74XgOWFrPOLo6JjZdEIcJ75LwRp6/R5RnDKdnDAajZCxB3yjKAIpSQKD2DQNJ9Mp/WGfOI1ZrpZkvRQV9iWpFf1+j+FwwHJri+PjE+bTmb8PZhwC9YS0n/s2Gx1z/85d+v0+pqpp6obZfM7JZIIVA+IkZrX0Qb6SspPtcc63Dp6/dBEnBPlwQNrLmBxOmE3nHB0fMZ/PvSNvWKuD/jDowB95wAwXdDB1p38ZxxFaR2ipsabxDHQlEeH6TFXjgt6q3PB/d2fA+0et+w/TOg7bagcMtcm5c+AkDMZDDuOYKIo806ysqZuGuvbMs5WFa08+yRsvfBtrDPPZnDRLybIWjPedNr7Q54fj2vHrAAEAAElEQVQPOPzHnT6hlAgJ437GVn6Bk+P7fO+bX6XXG3Dv7i22tkZs7e6ynM2pl4tuHcVJhtaSpi5w1oMFm8zB9pyTypvCpj2vLWjqusMKm2athbjZBrvJEIT1vtaxErvC7/q6/O8qzx5qrHeV/gAmTevwvsmiWQPUHjzQSrC7NWS+LJgf3udo/z7vvfEqqlqRas3uVp+036cslwg8i6NYlhxNT7j4+JPs7J3jrRe/g61K+gk8ePdNvrpa0ROWc9tb6DRHSL8nvrd/wPHxQ86d963sTjiK6THT/XtcvbDHhZ0BdWNQUlEjObjzHqOdPT7y3HNYU3Lp3DZPXdhFZTlf+uX/ijhO+Tf/+B+yO8wYDvusFkuOplPmxpBlCVvbWxgHq1VBnqZI4UhjWOzfYrqqWR0f0N/eYXa0z+jCJXYvXefPfuc3+MSzT3H5ykUGsiFG8t5bN3n7jTeoqoZ5UfOx557ne9/9LvVqwc/+3Jd57tPPeQDQ+virm/tnYoPu3w/B8v1vP36ZPzox3DlecX2c89ef3CNu40nnC5MIOlZei+O08YfWEbWpfQGindfOR1xSKRbHhwxGA18MNOvumjZ5tM6E+7SWT0hiLzvkpMbEMWLDCLlqHCWOolrh6ibMeRDSgyP/X+7+68myLEvzw35bHHWV64jISFFVWaqrq0u0FtMzPTMYDIcEAYIwgAReaHiiGZ+IB77yhWb8J/BA0ki+0MghYBybQWMAjGrMtJbVXdVZKSpVSA9XVx21BR/WPude94ys7uoBiUrs6uyIcL/u955ztljrW9/6PptZSCDysP8Me+vAZrwbkxGFOOGdo5gccH19TVs68tmMLDNMrBg6984RgjCmhH3fUxQVs9lcYu8gsnBRidRNXpZEpXAhsl5vqEKgLKU7DhS2yAQY9hLX2hBEs1wP5l4RZXNUKUar94yh6RxFkdP3HTFaIGKNJrM2Jdg7MznZkwU4yjKTcpkMrUnAsCLL8hFousXCG+PMgO8FDO7aFu/68d/L1ZKmbujanr4V0sX88JiiLCmKnKIoKWcCApdVhS1yimpCnhf4qIhRp59tCc5hDRgdefr4Y2KApz94m6tnT7i+eIHxHVdNzfOj+5zcv0/UGpPl3D02XwoSv+xsJc1RZaAsMJKQEFE8+NmfItrPDnP45SMRTNgBr6F34AOhbZnmJV2eY7Wm3mzYbmtc39NsG6yxn+hEFe+MIhUMQIUgTMPIaJZWZpnIbO3lJQPz3YWdUZ2wYgUsHDoSlN7TKGbntRJjTEavuzwzhICOOslgMALG8qyNrCUNKIm3hs4EY7PxszZNg7WW+XzOZFpxcfGC7XZLVVU476SbICqapsWj2bQtCk05O+Lo9B7X11cisVJv8c6zapNURvIdmC/mlKUYLWZZTtf3KGvICsvh4kDkYBKDenl9xfNnj1gul6wuLnDbDRohYZVFSde2gl14PxLJSJ1XERJhQo+s7Kg0WoHNbPJm8CIHkkzv+rbDJd3YqqqoktRTluXYUlFVpayr4Km7hvVySdM0NNstdM2oNS4SOCLFQ4w822zI8lwA62pKYSw5oHwkWoXVhl59UhZrl+fs8pThmQ5yJXe7ZG91XO2R2D5LhAoZEaIBAiE43v2jP2Rz8YKtfkG/uaDKMt58cJ+izEXaZSCxxUBmDXZS0mWWutliygLVO0xhmXqH84kdqGQPaF3P+c2Gz3/jp3n68YfgNe225gtf/AKPP3yfiYXYragyQ15MMOWUTIlhWucCpQmURlFUE7pWJ3+pCCp1taVYv2l2nhYmF6Z7nounl3P+VjfM8Ly6oGm6jklmscFjsjx1ZarRiF3mi9w1oxVohe+EsKNnGq/g1Tde5eL6hg/ffosiyzj9whf4W//jf4//+v/5f0eHFmU1OIfzHpNZXFtjioIezR//5m9xfPYApy2vPnyFg8NTnr+44E9++59z4BQ/9fWvk1lFaGtAE3zE+YZVveHdd9/hzS99ntkkI8SCaZmxbWtW62uyKuPwcColZhfZrDZcXV6hjeX05JD5fEExmaK1kKysSR5pIaCM4v6De8kjKyTZrEgIDpTCKMlL5eUBC1w9fcT7H/0hl//gH7JYTHjl/jGvv/F5uqcv2N5cUhYFbddilGG+kE5MazO87imqinffe48vPHnCT/7Mz1NMp3zxq18jSxKAJ2enPH/+gsVUuh1+WIg7PC9t9KeSofbX8Y86/srM4fEDRJm43ou+iu9b2rbl4Re+wuLoRFozlIjqP//oMcvzZ5LsxXS4KpIQf5N+qwYVhO4exJ1Z9iaNUredWkGcWru25cm773H+5CmLoyN61ydtQ8VkWgrA1HQQNUaLxmjvOtCavChpljeIz4waQc5hUY26ZM6DEvBiGINI/7iJ+kDwojt0du+MBw/uM5lIy0cIkJlPBlODvgywtxkLoyCmQGE4fGPcuVNrI4YkINVh72XzNjrDGDnQIgobYXX+jGIy4/M/8Q1+8Od/jO4bsr25UhQZXdshEJmlMpHzx484PLnP2Wuv8+53njErS2lfPj7l7JXXEjAMEAl9mwILJe2GdxPskfc2sL89wcnzl//b+zADuExk1CXW0p5mk1ZcSL9xBO33FsCnMYtftkheohjBEPTdZS3tPvtfzFz+cR8vY2G/zKhJK2ETlbMJamnxXYcmcO/BGUoJY1HbTPS6lCIajSlyuo2Yv129uGS1XHJzdY3vHVfXN6nw4dJjFoBmPp+jFKxXK5n73lMUGXmRYY2hKOdk1jKZTCUgyzIx60nFhSxppUoyZshz0SMrq4q8LEYpBCk4SZA3GGiOrfNx1yI6AEH792ofaHrZM9/fB+7e61vtWdpQTSccBi9twEp0iM9fnNM2LdfX1+TbGu8ck3mkKApWqxXTgzlZnlNOJ1RNh4rQ9x3L6xv6rqZrWpptTbutcV1PnpcoI4l5VuTMjxbcrFec3T/j+dPntHVDP+3RStFsa7arDdUEiknF4cmxGFkibIfLyxc8f3HOZD6l3tZs1xLkD3tXSCyYQKSaTHj42qtcX9+Q5RknRycsb1bUW2mza/sO5yUJWa2W9M5RVRV902OspWlqkdjIxVgvyyxlWeGdw1gj8hRKUdkKlKXresppSlJIrXNp7X7ayvwsrllI2+oei0uAQQFv7j98lbf/4HeJUbSe19uaumlH7dvXv/qTLI6PefLhx2LMMitFJqATjfy8SEXHGJPhSUjSSjJHTZIGcq5DaYuKjohnMZ9w8e53OPncV9Am4+njJ+M6MSSteqVYrtacnJ4Qkx44cbfr30piUjJSN6mbKAWvOlUx1d7r74LDIxj1ifuWWJdapz1n+BmdADgr2sHRj6/f3yOH95ZwR+bu8D9iFLZvkqaZVhmZAdcLyMVskU4OhfI+6fNH6qbmxfk5swefY3lxxfWjDzi9d0ZRVBAV3Ttv47oGU+RkkykKWV9KKbrlkn/89/8+s7JksZgRiPTbDYUKHJ+ccH1zwbwoWRwe0bQ111crPnrn+zR9y3t/9Du8+uA+ZVlSnbzCbFrxu7/xTyhCy+nJCSFE+m5NWU7omobpcfr8SszIXB8J0cF0SgwtbbvBP/+QzfUL7r35FV79yjd45zt/Std0vPnm5zl78ICurvnwBx/wx3/wh8ynM6azOQcnU956622Inm9/+6cgdLzz59/lF17/8jjX9wH9lzEmPgvjlanmf/P6fQI+sWH2XWLSn3En/zCQEgRA1NJOrfeKHCk+GkFX19CsRWvUBS9FdTUYRw3dLqS5LkbFSik6HzHzY6TLokcpQ9d56rajdhHXOQqbj0UQm6mxgDScmQoSEDsAnXHvupIu8Wi0WhK9I2rF0fExwYkpYnlwyvLpI6yGde8gK7FKWM1ZVlAUhRggNqJbDinOVZqyMvioUKnDbrvZJoNcaUkNWUk1O8K5nub6gr7vKXML2HF+oRRZWVHMC9rVkrxtaPucrksAcWIMDm33w/vLebczbRrujRST/J7M1Z6UxF7sL7mCMIZd1+L6luRGQtu0XF1cstls6HqHNpZ8OmFxILJYOjEbrTXkVUU1W1BNZ9iiFGAreOgcXdvINfg+mdw5ikyzvrqgbTtc3RKNxSStV5M8AerVioOjQybTOX9RgfWHjZiIK0df/RzP//x92bs/f4/XfukbNJ+RI/jT4j0gVaGTUWQCiCd5TrvZYozGu0RyiVCVFVYbYlQ4Jzqim+2GLMtwfU9mzaivW1aiyZvbnMm0whrxvmnahlyVaGvGmDZGyX91kmwKIWC0SK6o9Pkn0ymbzZLC7oo3g36+9zvt58FwTivFdrul73tpd7eG2MnnbjsHyrBt2hTH7X7WD8Z5WZEYw56nT59KF18mnWCbzYbpfCrMYFtQO0frAkFZJpM5RVEwq0rycsrN8prZwZF0sPV96jSUWL+qSjHh9J5IwHU966trtnVN66UgtFmtxDwbMYmLIZCh0F5A7+g96+1mlInq+o7MZvh0DwfwzDsn2sBpLRtjUUaLN0OeiXSTivTWyj33AZNZur6nb2quLy94/NHHZFlOtIayqoT96YPIT2yl60PFQIZIO+IDuTUoHSEV/SIB3zpU6HEaXCsSlUVWEGMYQcEB6B+8DwYW8XDg7OcysPNiuDW17xTCP60I9OM+YjovFQHlPevLc77whc+RFwZjhusadICB1J1ulAYUPnVfVpMJzkdyndPhcKpFK4nxDIa295xfr6kODnjn+9/HRzg4OGR53fLu8zWv/cS3mJjIzXt/jnE1fefQtsWbAjM/oVwc0F8/p7AKrTNMOcFt1mL+2rdJxlSkV0jkyJCkB21miXiRmvLCQpZOuR25YzaZkClD6LuR/KSNEWkJpcbuwYE0aBJ50UdH34lOd16V+CznJM+ZHyzwXUfnejbrNa/95Lf44Pd+g4PMEFVGnmmUzdFe8/T8Gb//O78rzOJuy+fOTgjHh7A4o7KWbFWT3TvGZJrou7GIGLxnu13x7jvv8crDh8xmC8rpFK0M0TuOlBicSlFm6A4MWGu5d/8ek0lFZsX8PCqRO9VKSJDC+lZSEIrC/hY5ioBoTWp0FPwRrYjaoHMxgp/Oj/jKVw558uKaervl4tkzXn3lPsdHC1abNZOqJEbHzeWKi+eXZHlO1zgePXrMW9//PuXBEYtpRVYWfO2bP4M20oW1XS/50z/8I47P7g/Upk+d17cIjen/7dbrMI9v4xg/at77I4PDt5gbex9vaAWvu56zVz/H0dkrqHSobdYr3n/ru3TrpbRmkROiGQ+WoixZr9bjhcWYDDd8qnwGP7KP71a4XN9LkuZr3PqaF08fQQBrQGHpWwGiBv1eMbrwCZuOdE1DWRRjYnnr+tKNlUkXx4U0JJvOub1Ko4BaxMC9e2fcu386AsMwGF0xPqihErtfjRsF5hPDg73PPTBlBikN9toL0y8lxCgHi1JYBTGABgpruXryiNfeeJMvfPXrvP/Wn6J8g7JS6ew6ORQHdknXttSbDTHC8b17vDg5I1eRajJlMqno2wZjnSS8CjY3N2htKCczdCR13iX2ZBwm5cBiEQO7EAND6jcELLvJLdeHFsfq6IUlM+p7pXaIu4fWbQbwy4HclwGjd4e8Zn9x3QaWP4uH5I88UkEUpTg8Oebi8lJcs4Pj4HABEr8IUG8M08WCalLy5MOPWF/fcPn8nJurK66urtmsN1I48iG5pEthYTyc2a3DwUG9rPIUaGbj14bgR3T9kuaaionBb7CZpShyqqrEJtdxtB73DmHwAFHKICq1BQpofEfDOr78me/P1eHrn5y/L5cjUUPRw2jKSUnvRSetKAuyIuP6+pqb62WqDIMx0s3Q9z1khsOqJK9KqklFW9dA3IF2vchwdG0nOsXVdMe+M5q8KpgfLAhOAunn5y9Y3twwnU2ZWkPXNEwmUzCaKjGbJ7Mpi8MFq/UNddNweXlFltkkgdEKi5nB9DPtY9aQq5LDE01RlWyXK6azGdttTZ+YaF3XjYzWppH2w81mQ9t1ONdTFjl1Xcv+3DIyO6pJxWQ6pSxKssLSthFLxnx+gMkLPKkTIer0PHcmDsP+PgTBn7U1/GmHu4oGTeTg7CEuRPq6Z7lac3VzgzbSolqUJX1T8y//8T9kfnpEOf0GyxfnrNZLStczqUpA4b0wjjQBayR4Ru0kKkQSKBBCk/TxNAHPrMpZffw2vunJMsum7almc+qmZn15hQ6ezGYUZUFuAz4Ou/g+s2Un7xRjJPbCHjVK2HtKKTnb9iD//bU2PM+6bvEhUOQ5WSY/OyZBSphPo8ZpYv9JS7u8Zj9J2jGH75y1WqESzBdNSrpS7GKNwZSGkPan4OV9OufY1g1107HZ1mib4fMp2+ePOTk6ZH52SpZJS6Hvhf3pu54yGRURAga5/EmRU19dg3ZM4ikBhXc9i8UMZU3qmpgQXY+1GUZHmvWaP/xXv4HfrDhZzJhOJzy4f8If/ot/zOUP3uP4cEYIHfhI3TTEPCfTUFYT+qYlzwu6pid2PVlhKbSh3zq0yanmh3z+mz9LPj/mo3fexTdrismU2cGUdrNEoXj73Xf5ub/2yxwfHpPlGTY3Ii2k4Hpdo7Tmtc99EXQ5tkbus/9HE5bPWGFHRUWG+DFIf1m4FfLrVCRx3o1mzmk6peKhIgRp8fTeD/V0YRsQ0Vpazq3R2MzilXSYDTFvTAmvMAct0WY4bZg/uMf18xfk9FAWtJ0jOIfvpKU1N1riTCU64MZAnuLksXg6xMdJtzCGkOIBC74b28+tFqaOtZagguiGlhkdnvXNFcV0iup75tMp09kxy6tzjIpJSxBQMLUzaVtHEdFEm6GUwdUdvWux2mCMFcaiyeFgzitf+CI3T5+I10hZ4JotbdOitJV4kgTIqAjBUZUlBi8aomWOc3K9VoseqDGGSEhMPmEwq6TVOErmxDDKcwwF6WFvGPeuOHRadriuw/XCTIwqEmNH2zY0bcO2acjyksOTU2bzOVleiPdAbrFZTlbkFLMF88MTsrykXi/p25q+aeiaOskc9HRNTb3Z4l1P02zp2p627SCQNCcVruspDxHjLQU2K9I6vM0UHgp0cPsMvUunELArEjV8+e/9da6++x7ReX76f/3vUxzO6Ver/07W1/+vx8vAYZUS8UDSq+17TJDionOOaj5DSC3SRWdthu+lS9UYQ9N0QngJsiasMcSQmLlaPGxsnlOWJX3XofKcGMVUfHF4SF1vx882gkDsx6bCfDSp+DmYOw+5JDACw3fj1CG3HWL0zXYr5oVKgxYiY+8Dylj6dkvdtBKrWpskvyS+U0q65LwX2RSVZyNIGaPsgX7QKgaKqsIUBUEZHj15SpFnzBaH1HVNZg15UQphKng2N0uWl1d0TcN6uaLrWrxzlHmO806YzVZTZTllLrrFzXZLW9e00dO7lmEt6gSk63TGOO9omxZjrcg8WCNt20aLdAeJQZz2tC4zaCsxxWQqcfNQuOu7XlrsY0QpTRccylkubm6k6NX3o+eDd548s/R9S5dMxYKyFFlOXUuMjIbe9ygULniiFs3xLvQoYwgkTXa9ww8GPEUpc3u97sU7nwb87ufVwxn8WTt/94c2RjrSbrZITSTJGimd4lkEa1IpPlQabbLRiFEISWAsOK8orYB6TROoneXyasNR5zlbzDFZTlsveXBSURxNeOt3f4ep9jw4naFwGAVdvSHmFbpv+dM/+B2++MarWJ1JB42VbpVN3dA1HZNMTAi1SuaJCpTWZKNsiHTSG6tRRKL38mfaq2LXkFU5YVoBEfouzT11+/nuFYtQiLlt8HRNz+AzkxciK0huyJuOP/gX/yXf+tV/g7f+IGdWO5gYehcJ3ZariyU36yXHx6dUZY4tc/q+Jx6e8nf/g/8l/81//vfJjKaqDFr1ON8TXCSqgGvXXF5e8tqrb3B0dorJcrRJQL8ReRqlB9PMkDryDLPFbFesZVjpYurqBPhLc/suE16CDZ3OvU3dYJRFKUdWKC4ur5gd3+Pi8obY9xw/fMhXf+YXePu3/gW5LumU5+ToEJBu581yQ9N28l8jue0v/tIv8LVv/zSFCtw8e8zB6UMhtgOPP/qYZ4+e8a2f+QUAIoa/7LiNbf1Iy+JTx78Wc3gYIcoE8n0HSnN4ei+xPR2b5TXf/853yPFUmZhTiFNiGA8zacUS5dABRO37DthVufZ1NYZDUSnRHVIA1mBCQClhShgF+EhX99hCqpZDKw8gwEkQY5xbCeSevMN+S6omaRyxx1yOIjMBKTjScHp8wum9UybTMjkvD2jp3jQddYRvt8be/voAbOwnqSGZWkhAKh8nJmA4HbRD4q0UJtNjIG8UPPnwXX7ip3+ey4tL2otnspgSK8UTxOAGQ3S96JyGgM4y0RYOjjwTjaXrF+ejgLoxcjhmZY4yiqh2WnnjZpNMVGKi8kcvh7z3fWKSDvqNPs0BkRrRViVjwYyIxauhfdgQ0wL+tMPtLlP4ZQfjD3v9bgOBfaD4brD4WQOZhnEXyNwHN+8WrIrpjFc///kUHASKyUR+Tim0zTg6PeHq8ooP3n2Py+fPuX7+guXVFRdJTkKYPKJhW5YVeQJzB02kosgpq3JcA9WkoiwLtBLpFmOMtNMlBo81RoAva8gyi7YmtW7opFNrEjCaklcluoYDODsw4W4xeaJom+54py9jnQOo0YAyhIALTtiOcU9aRUuQPxQ6xumi1KiXrFSkClNC0NTbmiJGTk5P0crw4vkFy5sb6rrh6OSEg8MDfOfo25750SFd05NtNlSTCYvFAevVivPn58znM6aTkr4XjTdsaoFViqIsmE4n9E3H0fEhm3pL2zbcXF+jMksxqcQY1GjZB5JxnM2kba/veuoE8DZNTVMXFGUuwYhK+rDpxmmrKYywR8pcnm3XOZq6TmYrfmz3DSFijOXg8EAcpvueum6Y9z3LmyWDRnnf94S1rPXJdELlS1wfKSYVk/mcyE6LNCZGD9xen/vA3w9lBP1YjviJdbn/rcXREflsyuWjJ1gUD89OpPiSzh29vuK7/+o3cDbjyz/1Tf7N/8V/hCLy4Xe/z6N33+Lq5oJJYakqj/aGmBdpvWmybGDMe4iW4Hu2bUdRSOeM1ZoqzyiUouk6etewPl/hjaUsMkIPs2lFdD1dCGxWG9H+3nMwH4CUfWbTALLIc1NjjBDCLoDd35cHLeAslwDUGD2eb/LaoUW3EN3Rsb08iJbpp+zlUpdN5xfAAEhrjVEC/gp4ufuczkn3jskt603HtvXUradrO/LCklsDsWdaTVkczIlRjDa1FsaVR9pEjRJmsosRmyaAtYa2ralKg9VKOjiKpCENTKfSiWGMlY6CtsNkGfcPDzj+/Ks8eHCPrus5/8HbuK5lXlqRxNKKtm8JweP7ntxoiiKn61qckuBWI5JZRiftWh/pteX5ixe8/V/8Ol2zxuYF906PKTLFdl0TvOcb3/4mR6f3WDx4nfVmSbu+YFLl5HnB/PiUDz9+LMHwJ4q3t+Oy4XufmUQ1adQO3uKfHMP5AyoZlqEio/R21NihqKgUISSzZGOELRQTaw9pJQ7ImRx7J1lsAiZAurqyyRQzmXL14jm5hjIXuRdixClwIccGmdsDY9kYIyavpO6CO+tkiBmEJauxRUFowhi7aq0wQxwvgjJ4bSkK8QMJXS9yEaGnvbmgsDqxoZJOYgJXjbYpxo2o4Ohj5OjB6zx//DFt16ZCCqw2NWdfPuPm6pqrxx8xmVj6tmZ5c8PR/EBIHTFircSuENExEFXSfgwBrRVFNiRniTGtNF7tDLGVssLMlo8o60OL5MV4n/ZiSMWO/NG7nr7r0lktBjo+Qtt2NG2DD55qOuP49B6TyZRiUpGXFeVkgilyTFExmS+YTKbU6zWry3N819I2Nb7vRWd4u2V9s2SzXhGctMxba8i0xU4kBhtkB5q2497xKeWkoqlr6WDYe75jCPMp0/xlX5fdGhZvvMLf/D/+b4mAnZaoT10LP35jP0b+hOa9EqPI4OTq266jDw6dWS6vLrlarUQ/1HUYoGkbnPNMFzOePXsm69ZJ/ppnNnV+6rS+5cwdOlW1FkJEbi3dnmfMeGbtx/EhJu+XoXifNL33/F6cc7ekJPbjIecd7balbTvRTQ3gQhC2eZT42fcO5yQmF4D4tmTFcJ4bY4R1meQYvfdkiHGwNhodRGZh2zohN3QdRVXy3rtv81Nf/zrTSYXVirap6buai/MXXJ6fY3SK+ZXm3vEJMcLN5SX0nkxFuk3NzfoFMQTyzNBsayFd6Igp5Iy1iTnZ9wK4oiB2nUhNEfEh4roOY/TYrq8UApa7JNuDJfY91hpI991Yy2q5ou8dVTUZ85PeOarpBBUcrgls1mvBJXqRd2y1wROkCAdkQB+CmFr1HZlJxW7nia5jW9fk2w3zagJK9NPFglih9Y4MN8hd3M1b9/Ofl8XDo3zO3twfnuFnZYx5m8oIBsrFgvrqKTHKWarQ0vmemHTaRJSKgt0oBcESfEHXN8TQS+ypYFJoooNVA/bkjL/2S7/K9h/8A7bPHxOUYVKUsnZdy+WTR7z2ygNWzx/jmpZsKJpag6trSt/xhZMZdDV99HgsKkaMCmTTBUVZ0txckBOIRu91bEoxQ1sDUeODw6Y4SaNRQfJgIUGJR0uITTJYFL8gMxAk7jz7YV9QKsmlxojvRPplKGh5JQWLfLXhrd//Lb7207/Ix3/8BywyBV6BCswmhhAs+cGrXFwtoZjimwt+6Vf/Jk8fPeEX/9bf5dF734PLc3q/xWhF0HB5dc2L83MePnzI6ekp2opKgPYOpRxKW2yiaKgixzspbg+8QincDZX0RETT4lVGysu1Mru5jcTRRC+EhZsbLm/W9B5OD+dMCfh6w5Nnl3zlW7/MZnlFdbDgX/4X/4gJLZn1LA4OCV1P2zaUk4rJzFNMp5jNlqOzgvv373N27x46yzCxpbl6TjU/ospmADx8+JCmafizP/4j/vorD1F5Jp5Nd9bpp83z/67Hv54hXQJEYpR2qNnRKdPDU4qyIvQdz598zJOPPkDTY/M8PZTBfW8HsmqtWRwsePLoCbPJHJ+SvwHe0UolM5kdyCrFuT0AF4W2YpesFUTfjwlFnmWEIMFRUeQi+N45dIjJMXp345Vc3C4BVNJaT5L18EkXbmAcjqBQDJwcH3F275S8yIWVFJNpxVi9U6PJnDE7XRgYFiPjf3Kfwi65VQm0SXxbuW5xX98lSnEEiU0yqLPWYvKMMs8IQQwoHrz2Bu/fXGAT48/7QOdasjxQFCWHx0eoopJ7EKIwvlSBNRkBsFHabrSxKGPQNsNmeYoQBUAMPshG6iXRDKHH9cIYdF1H8A6tIHhP27YMZl8DKGWMxeYGk+WU0zmFqdL1KVkwScrgZW3EP2y8jNH58tekZuDx2ztuxLAxf1aB4f3xMqBbJTBcWEqGqAyzo1OMVjjb8PBzb0qrtxV5hscffcTTjz7m2aMnXJyfc/XinPVqBU7mTjWthB2bi0zEADqWRSngU26T+7e0cIqJXDYGNYNmn7HCDBZzQ2lZt5lNzCU5BCORmA5E2aPYtaSrIVFnTNpGcCrLdsWjYY7s36cgukPDHtF3HU1bU9d1mr8htbqWaGspyoKiKAU8GgH3wdhEoU2GkBqkSq20JtQ1i4MDXB948vgJy5ub5EAcyUxGW1bMjzQH907Zbjcsr67GQpJzHu8cWhtpL4oBs1dNtCZjOp1Sb7dM5hVHJ0c8ffyE9WrJZD4nOM92u2E6m2G0pipLumQgEiPkNk/uyNC1HU29pZwIA3DQHN530w1KqrhFVSVWiaduSpqmhYjIWnQiZRMilLEkRgmuD3xgu62pqimb9YbVHssohiiabm1Lls04vHdGOZ3IXsuOcbgPGv4PYZ3+Rdm5zTLKScViOkVbLayyLEfub8BFR9k5Yog8/s4f8Z+98w4/+2t/i5/85V/k67/6y7x48pgPv/dnPP3Be7SbLdPSUWUZNhMpjyHZ89FJdT96fJC2ThUT+GMURW5QqqDyBlQUQIdCWkBdQ9c5nj274uyenMtDkVe9ZC/vOikQG2NFJimdm8BYTLz7bLMsw6dWyuF1Oy3lPfA5SifQ4DMwlG7vfgYJwAcGa4TEehrnlrzJ7v4kdpa1Gm0UXS/trfdf/RxXz5+TVbnsW9bSLybEqFFGE3yHRtHWDTc3K1ZNS+nhuCjHOGhI5hXQ1FuOpwv6rqMoNa4V2ZWgjIDWxuJcYH2zou0c2WxGRsdiJs7OhkDoOjJjhHOh5X7fXN/gvefw9Iw66YQfHh6w2a7Ic0lyp7MS53qur9cEr5g4w7vf+S6TUnNydsR8MqPvWjbrVvQabc69z93n9JXPYfIJ/9f/0/+ZX/yZb/ALv/yLeKUxWcYvfvUbTI9fGePJYdwNivfZTD/q2f/fxxgK/C/7OpHRQKVvmzHWi1FiTmUUOiqqIselDpJB/kykHrIR5Ol7YfsTjSSJWQ5qIEPskqK+3tJtt0xTV02z3dD3DRGYLxZoazBR5qiK+8wiRqB4uKChhVkpJWduEIO72Le31un+31VUlPMjJocnXJ9/CCFIobecYKsp/WaFVrv1NY50lkeisCmjJLeb6xsefv5LOO/YbtcYa+ifPEfZAtU2LK+u6RvD4uiQ4jTn5uqKrCrJCzGOQgvbP8QgjBKj8cmUcbc3IUmyCqM+I4AKDpOepU/nzFDAHvIjVEwF4hSfp3bvZjCiGkxDvaepa5bLNV3rCV5xdHbC4dExWV6g85z54SG6LJkdHjOdzlgvl1yfP8V3ch4KE7mn2WxpNqsxfiiKnHw2JS8KiqpEKUNWlBASw2m9pjww/NTP/hxRKdbrNfPZ4s4c/qudoUKsgWw+IdXWhyaRz9QYSUoh4H2krmuq6USYwblFe0XTd8yPDnj4xc/zgM/T9z3X11e06yVdvaXdbnnn7Xdpu05ku5wnJo1t7z3WquSdkRNjoO878skUozXWCoizXq0weZbist2eGEMc8+a4t37kTAqYpLO5/yyHs0olgHSQIRBwuZf1oQSwDUrIID6dh0pb1ps1Xe+IPu5ysRg5PjoixMh8Psc5R13XLBZztBZgCSXFn847sqJKXYMVmoCKHm3gS1/+EiF6Qtfy4vKCF8+e4boWYwzTScF2W3N9eYNC8eTxo0RQC/RtR5EJaeTm5obZfMZ6u5X7W+SEGGTtxUgdGmEBpwKa9w6tLXWzEVkM58iskKRCWqPWClliuH+ZEqkL7wKd64haEYJDKcNkIgbKwQVCEHC8Xm9kP9GyLtq6xjtPUYg0RETh2iC5lRqwFcAoPAIOaAW+F6nMZrNhfnCENbl02SYJDtgBvvsaxMN8Gb7/aazh4XX7GM3LyFGfiaEiRAGBXdel5y3FCZsZjN5JAqESUUFrXPAiK2FAe5WkO43oi3vP0+dXvP6NX4Do+dN/9S/56pe/SveF13n09lt09ZJqMsVby2HpuFnd4LMJjkinPJYe+h76Fk9FUBpcSxFAqZ7YblGzkqx3+K6n7nu0EmPi4Zn6ILq+gwyc1RohXg4dNnLpWgAxKQ4aKfqixiM1dZzvESXirstSpfeKUVjzMUZcml9Ssc0oy4pnH/6Ai2fPOLl3SKF6fB+Sfr4jhkDTdMyOztjWG2bTKR/84G0evfsD7j28T5YFytBilUKluOXB/UNeffVemoMu4UUKZRSKDLvXLeGSJK10i0JMHQwqeXsNRargI23TCGgMQMT7SO88aEOR51SpcNTUNXXd4WLGalUzyedS/Fld8d3f+1e4vhWcq+343ocfcv/qjIevbHn42kOKSYnzjsOjBd45Ts4Omczm0tEEZDajbRseP33E8ee/lvDHQDmb8rO/+iv86R/+Ee9894/50rd/cQ8v/XS8ahi7vX3IV/718t8fCRy+xS4cQVEgeIw15NWcGCIXz59w9fQJfb0mUx5l9CjJwAiABmLcTUjR4bHU2yVZ0t3TSqcgWRbzjkm7C9pC2DFLdjdBdHuqSky02qZPG2Sk71qZLNZgosL5iLvDRBouSw/JXnQjccs5R4yMLFf5mcDp6QnH9++RZ5aIwUVDlmf4botIf0pi13UtAMbk46QdZDPkNXHApnZJszEYa/DOj9crOpA2LeQU/COmHZBMCRKDIc8ysqqijQIcTWZT2fSitBY578mLkslsmlyhM6qD4wQ0BQqbYxLYY4zFxrT4jEFpi7GDcUXEeyeyEc7h+lZa3LZb+r6j71q26w31dkOz2SDtHJbr62ussRgrGnXz+TyBHSXlbCbMqBRwa23BpFY+mzGYB+wnE59kAfPSr+8vnLsLaMD0hr8PqMz/UACnuwD3yKDdY1fua+xqpO3GFBVF0svSIfD88WMunzznyQePWF5dcXV+znp5gzGaaj7j+OQYHz1FmVMmgDjLMopkJJlnGZEoAbbRiamapYDYjoUCpYcCkcEaKy23iYGyXwUfgqkxoIGxmh7VnULQ3jP0zolrq/7kXJI/5aDtu456s2W5XLLdrtOf0uZns4x79+8L267tqG3NbDony7OkzXhbjiLPcykyJTbyYMZ5cnpMiIEPPviQpm1o2pa+62lrSXbvv/YwBTAqsbAz0Tr34lbsnAT6WZHf2s9snjGZTiVYP5jTbLasliu6psag8F0HaZ8qq5Ll0qCMYTafsbpZ0jtP24qhpfeBpu4wWYsxFq0tIaRAhGHvEsH/TBeYxHYrq4mAzLO5SI04j0s67WLAKe8RY6RKRodaa1ar1VjlBWi6nhyYHRyQFxVuj92/Pxf2xyfX+GdjDe9fx8uCBDlHLJkVWZZyNkFnJhVIJGEr0cTC04ce63tC3/P7//Wv8/0//kN+5X/0b/Hw82/y4I3P0zUbfvDn3+W7f/D7Yq5gVZKDsMlp3JJbS4jS5jaA1VEJK9BFRVQaY0SLTyslZg7R0/eOq3VDLCoJG5Ku8Vi4SWtPp2vKMrvHcPIobRjYuy9LUIY9e+hK2NcBlYBYj0CMBuJ+kLt3L+92VWhrCM7dqhbdmmcDI0trGNpajdz/zBiO5hPoNpydLvDBExIbsowZPkDf93RNy7buuFlvicby+uuvc/7sOeu6xa7WFFUlsUzbiFFn32G0mODotM6MMdJpYyzROa6X12yaLZ0PZF1HnmI1FaWbR5kMnRfo6Ngub1iutiyXK3yEpx9+SJXnbDdbylJYhovFFJu8Bs6fn7NcrXF9YLqtOTo55sGr9+jajs1qiTaaajajnEyJOqPzjo8/fsTN5ZLrp895/Oic60ZzdnIoBcJihsmkID08jU8LiP8iFsWP2xjOo7vAN8Bmecl2tZTzVEmHWmDXeVIUOdNJhXOO7bbGWvn7erWWNmdjUV7iLmxG19aynxsLaJwPsg8j3XjGWDJjaJuaumnQSEztE5tXGEU9IIxB0rr0ric3JnXl6PT5QO+1Pko4Hz+xN+0Mb0DpjOAdy8sLdvoyCte1dF2P1Zpwaw9PiemwFpUhaoULYE0ks3B5/pSYFXzxJ76OsYbXP/9VlLE8+/gDdC6x6Wa9YbFYcHJ2xna7Hc9NcZmXc0dHgzYZVTUltC1926KiSrmHsIvUEFEYQxxILEphlR2lq4ZuRClM6zHnCcHTtx11XeP7TgC9XhzQ6+2WyxcXrJcbQogcHh9zdHzKdLZAGUM2nWKqCUf37uGalqunj3FNjetFo991whbeLsU8tm9ryrJgcTAXgLkqBRzzUYoPWvbIqXccnp7y7PlzllcvmMYj7t27zyjtxl98Tu6ftS87d4cFbdJ9QI2E+h/7MZwpkrPuNO1ns5nEkz7NC63oXcf1zTW/89u/JYZp1ZSubWjWK24uLwiuJ8sz1qv1LcBOa5FeEVJEPsauRhvapkmdtTmGwaNmx8rVWhOVmJGP0oUJpI0x0nXd6MfB3nMZ5B6G85eBrIWibZsx1qqbhoCYProQxgKr60WnXKuIzvUop6C1YrlcMl8suLi4YLFYUJbFKGORFwVlWWG0mFVNFwVlWUhBJgZ816BSx+1qs+Tq/Jxmu8GCgM2+52az5tnz55y/eMFrr73Bz/7KL/H2W9/n4vwF0Wj6ENisVrjgWW23wtCMHuW9yIA4+dM5h4s9MQTxvegcXVdzcHDIzfU189mc4AP1ppaWfaNpQqTuOsZTarslszkxBB7cv8/16ka8iCJ0nSPPc7pGMAdrLcW0xDnH6mZFWeRivppIUlGJ9I9SEF2gd4HD4yOW6xVRi/5tZg2xD+hMkWnRRe22NUVeiomkMQIuxuS/ocz43yB/KfP6kx4qL1vnd2Ppz6IpnYoBHQUXKaoKV5YUZSFkwtQhk16JjiIdoaLo0EpHqRRXMiOdcm3b8uLFJVpbttdXlFXONNO0l0/ZuJbXv/oTPH7nB7i2xdgcbM6kVNSrNderjof3jvBtROGAgVAghQkiqZgaqFc9WV7hCcyPH3D17Bkn2SAH48nzkpA6NrM8Sx1rPuWwejyPYBeDCKEhovfIJnogUsGoYz6sf7H7EskowcL2igUoopNu/fv3jonaYE0g+kjQmqAtV6trLl+8YOsUr33xq9iDGXlvaB99yIODHLV5jleWVimKwo4F6BilOyjEMLA2UDpJQWkplAykibvd/nd9SHYdEor1tqNtO+lc0EZijaIg9j1tvcaVGTE6mi4SjBCkJrMjQIk5blpb+Wwiz0lr5tMJ33/rbfLM4iJ8+WtfY1EWPHv0keg6ByGivnjxnJubJa733KyW3Gw63vzWL3NWTQCN0hnf/KW/wcHJfd797h/ypW/+nOzlPyTefdlalGKgGYsI+wScH2X8yMzh8Q32gl3vHToTpqvrO25ePEW5FquHxEmNjuMhish7CHsO5WmTevX1h7z39ts0656qmI5s0v33vgtmjRNV78BncRYVfbchMR3Mq3xw6VAFa3NMlNbwEFy6kVaS0xDHyp33IofgnRsNcnwQ0W5jNYeHR5ycnWByI5PYFCwWJyxvLtFRdOWUks8hQl8wsAjEMdQMW/ZeG+3+NQ+sDUvA30peRWPIEGObtHGkBVsCCkPXtigNzmS8/uWvYKzlvXe+TzWdEeqtgLCzKVmRk6WDGxR9L0wtDWRZgdZxZDgqnYxBku6bQqq2MYHCBIdvW7arJdvVDZvVkssXl6yWKzEdcw6tIpkVY5CmaambBpLWZTWZcHR0xPzoiIPeoZW0PxhrwUZUMJhMEfpOGMRaj4WGT9MlvFXY4Pai+mEg8fD94XsvYzV9FsanAUxDzDisw/2N9tbrUjA0GLmhYLW84eLpM64vLqm3G5Y3V1xfXaIUTKYV84M52momVUVe5JRVzmQyoarKZConQK/JLMowAsG7DV6NTKWhOqq0SSYfIWl/cgu0GQ/EPXBX1l3SUNwb+89cwfj7htrb/j2IEfquZ71acX15xWq55Pr6hsurS2HJx8DZ/XtoY/nOH/8pi/mcw4NDjo6PWBweiJt4Ztn3IxJmv0FVOSpZqpFYDCdnJ9Rty8XFBcvVksPFIb7vca0Yz+VFQVkU9E1DWZZ45xKQllzdB9meEHYtwkYYpWVVEUJgOpuyWa1p6y3Lq0sO9IkwgquKaASYmEwqjo5PcL3D9Y7tpmY6qaTboOsxTSsSMEn+xfs4MjWlYi0t0korlNHYKIdX9GEseGXe45xJwPauSBGcZz6fpCpuTYxx3NeMsRydnTFdLAS43wMU7s733Vz/0UX5f2yGGo+NT+w7Akwa7j18lWfrJcpq8sSIk+sVwCVGgw6KgoJYQtn39Otrfv3/8X/j5//Wv8m3fvGXKaoZP/mtX+BLP/ltLs+f8OT9d/j43XdYrW7INi1VURIJZLlF6wjBE5TGmgyblaAcIXRAECYQcuZ672l7x+LkhP7yZtQjlGuTLoSY2lEHTcL0LZyT5ErJgx7Px7sxgPx972xMQNawlm9p3IcwBszD18ag9A7YoYNnMPEYH8d+sJW2G6M01k5QqtntHUoxm89SrNOPBSABw4EYaeuOy5st2XyObnpKm9MvrygMLOsWZVacFTlKa7q+Y7PZcHJ0TDWZYmyGx41SKtFLYrlZrVlutnSuo29b5mXJZrXk8GCS9GqlJbqpNzR1Q72teX5+SZ7nHB0cCEjQ93Rdx2a95uTkkODk8283Peu1MJ7miynHx8ccHx1RrwX0qOZzqumc7WbLi6cXbK8v2dQtN63j5OQBX/raN/jW3/jb3Hvzi2Ra9CptPk+J8ct13l929o5moj/G42Xn7u0XBAyRfuycUijMeB7lk1LAHa0pQsRo0dP2zrNeiy+EMoZoMx68+SUev/c+220tYEsqzPRdi9FRuuaiZ7la4/seYsRFaR3F5hTTBdVkRrdZE1wnxZsQUNZgY5ZauU2KAz8ZL72ssAKkQq6gbBEg9KjQYZN2hkJkz7QEIrgIMIBnEjsPrOmyspisIPieQBBt1mioDo7Js5yoFY8fPaLbrLDWcPrgHr7ZErxjtVpzcHDAfD6nbRsqOyUrpgQnpj82GIyN0n4evHT9oEb9TlIHH0jnQdwzD9TK7ExvGSSoSOCPnINd27FdrwXIbdt0rjVs6lpkm+qa3nkOj485e+UV8skcleVU0ylmUlFVE9YvLvGteDj0nZjNNU1NsxEJiToVqucHc45PT5jOZihE6qKcT2k7l+IjJL5PDMl6s+Hy6WMm84UU9tRfAgTaK+SMhfmXznHGDguFdBXxF/3uH6sRRbNbRFuIUUFi0WltUcEJ8Nh7Kpth8axfXPC8fSrGZt7husTiHw0ioWmE8RZjxPdi+hiCQ6FRLqDLfNQRzQohGIQYpYCSkn75DIYQRZZBIYUcYzQ+BKxGrExDJCjRIHVeTBC9k65NrRRt16WYroNkmicdaCIz0TsBioSBF9g0HS7EZIg7sC0lzivLAnQyijIS2fY+kOclEU2RVRCkFT7PS9abLTbLWd+cY5ShKi0X58+5uriQsyoGitmMi6tLmq5j1XUUi0P+o3/n3yXXlt/4p/+MRx98yPHxMZ33tF1P38t1Nc2aSVmw3ayYz2fUm81w/KHUTh+561bj3tV3Qia7ur6iKMQc0GiNazohXIQ4xiln9864OD/HGMOzF89GTEPMlDOckhjJhUBm5AwO3ksXZt8JoOcD2ir6vkPRkxfTBEL2WHNMbjQhsZitlmK1zQ3VbEoxneC1olcAYby2faBsH/jbl+S6u3cPP3f3e8O/P2sds2PupnTapzQHJ/e4fO97kg+FMDJm5ZJ2+7lS0tFIcOgUj8YoRqLbjbBKX3n4BpMiR2eyTgsdQfdcPf6QvCqpN0vy6CjKCZU2zHvPVe+4vtlwNJuA6vFdQ+i6BAqTOsQ0UScMKtSE0HOz9hx+/sv05x+TWZFV9JjUbWQY9BRsNsiz3Y6L98Fh2OXzypjU1edudWKN7GHk7NIqEHGoMHTehfHcjikm0KlDJior5IOoWMwWVGUp3UBhhQ4KZS2ZcPxQOudq05MdzkXvP72/80IG0QMgnIw/5VpJ+aVmkB00emfGODKd0/wXnXPJQ8syY7XdyLNNRNFQbwnBs2172vkcp+HowUOefu8tDmyksBBCR1mmzuXMUk6nwnK2hur6hnqzxk4WXCy3LJ49Z1oWPH1ySTmb8fCVI1bLJR998CHbbU3bO6YHR9jQ8Ie/+c/4O//uv482Oeh0H3Xk6eOPRyLMD1tzL8OujNl1Kv1VQOFh/Ejg8C4USB+MHSNWeSCXhMNoQ6+EqaOUGIlJ1V+z+xW7lofhwoy2vPmlr/D86VMuzl9QTqZjkDJKMCgY2t4HcGWYICNKFMG5kKrkoJUBMxjH7W5kSKxZaaHxCch2OBewaLwRyn30Atr0vRNXcq2wFooi4/j4mPnBXOj9yQQJHbk4f0RGwBphD7iQqnZqH8Dca33WAwis9sCxHaVca4NWnpDA6UEPbqg8uQQMy7XpVDHO5JqaSDk54PjsAUpp+q6TlgcNZTLvskUuZhc2R3TdFF2zlgqbIj1LLexNI9VrcYAkaQhLW1PXtfT1RtqBnjzh8vw5Fy8uaOoWowQ8LyYT8iyjzHMJZKzcu77vaeoG16/o2o7lcknfCyCvtKaoKvI8iDC5UqI7rAaWza66/7Kkcn+jHOfzDwGI7zJH93/mswow7V/TPlj+aYHBrXuZGlVUqvC7vuPy/DnL6yu22w2bZsP19RU+eIqy4OjeKRZDXuRUVcV0PmUyKZkmiYmBASHOvwk81LJWd0CPHDghFVLQu08iiWbaU9gF3J/GMhtfECVAHmUn9q7z7hYquqdDZTdSb7csr29Yr1ZcXVzy4uICa+0Ifh8cHKAQ7a/zZ89Z3Sxp24a2bTk4OmS+WGAL2XLV+L4StGV5ThmCtLggQevZvVPW6zVd19F2La7rCb2nrWsmkwmT6ZSmrpNRgiTT1aQihkDXdhSltNcP1zXAY1mRY7uOg8MD1jcrmm1Nvd0yPzwkuNTFoBXzxUKScifvefkiOa920n7YtR0mz2jbXroYSNISKqZqtGjd7eaZrNPgowQl2qCNk/dMYMMgl2ONpk8VUGMkuHMJPMyyjKwoODo9IStLvE8Mcm6v51vPnx9+yP64j/0t52WM/xgjh8cnPCVSWE1mkuXiUEFPLVdi8ipzoSiEBVrUG/7kX/xXPPvoA37h1/4NDs/uo/OSew+/wNmrn+Mbv/w3aVY3PPrBezx67x0+/sG7VDkczKcJ9Ilo73EKvI/YokgMHdEsDBjqznF9vaGqOx4eHWKsnFE6kxaxdJQlQxAS227HFB+uexgvu/79wP7WXp9u3l2NxbuB075MxT7QsZ8UvczQcND1HlzP913gjTaj+axRUiQXkxBPCNJB1DQ9hSnQLnB2dMh0UmI0rNZrVpsa74XBNZ1M6LqOyWQi+uLTCV3Xcn15I/qXqVXVBUfddPS9540vfB7fNhhAdZ20rTqP94HV6oam6aj7nrZzVJMJhwcH3Lt/n7resrq5IQSXrne3JzdNzXq94uGrr3Bycowxmm29pixLptMpKxd49IOP0CiabY0uC9785s+Rzw/pNmsmD1/ja9/6GX7rn/xXuO2aX/47f5fJaydELUXm4TkNvgafVuwduqh+7MdLANRh+C6x14f2R22IqW6A0VibJRA8kGVWWK4+UlUVdd3Sti1d1+FDRGUlQRe0vR879drtltwqrM1pNhvatpUzkBRXKoXWkJci0xBtgT2wGO949IN3OD07xWQZeDdei1a324zvrrd9cHhIysbvEdI5LP8N+qjDf8Cok2itFI6NsSITo3NMXhBRWB0hJaNGa1zfpwK35ejwgA/On5Al4HM2XXBz/SKZgTUsDuYoo8WELSvQeYEyScIqBnTf0Tc1HilcoHcScPtFJa3tnvGN+cR+sn8f+r6XrrnNVgo31zfCInKe3gV675ktFjx4/RUWhwfkkwkmL6hmC/JCTBrb1ZK+aQi+x/fSsltvllxeXNA1LdrAfDHl4OiQ6WyGzTMhXSFeL21Ty3MfwLGYYi1jePOLb5LPj1gcHP/lz8go4OAQy/ylfgQ+EWf9OI9dTnH7+oZ/heDRg3xe12GNpsoyonPEKHulTjnKZrWiacTrQcx3XQI8xGzO2gHsUVhjaOot1UT0ZAfW7fChdDpjBKyV9U4CbYYxhLyjNEAUKdCBIeydtHxvmoYmsVu9D3Rtj3Oiudu2HcoYkVNE0fUdXe9Tx5cfGcpDjl4UwtS3RpNleYrddmDVEOt2zuFDIC9K8RWxGevuhqbvefThOdF7MmtZrdaE4Fgtl0StKKsJMSuYzub8y3/6z3n04Ue4rmNSVrx4+lzk3ayh78UQ0/c9G9fj+p48y6gREDaEsFvTKc4Q2QjLZrMG5FxvmkbOfa1HoHiHWcD58+fj/JdzXo9EBtkjd3FE2zbj2gpBTO5c34mERXrvLEl5eQ8mKNq2Zj6fjh3HSkOWW6rplHIyIS8ryHKJfpUa55O1O4KNxBqyE+yPIZbZz7f29/TdGrhdlP0sxtBBRwia+fEZPYoyCtYiBZWEE8AofeODmL+qEAjeJfkFuF639NmcB2/MKKdzyTtcT4wetKYqpugYWN2s8XnJerNEaUNVlswmOVfXPRc3G0qrMSZSZDm+ayDIexql6XsHhSE3BteJ5Ob6xXPu/eQ32G42lFODCw3GTjBx18Huk+QYCcQ2ZlcU2CfNKQVBRVSUTnq9Z8x2izClpC8oql2Tj06FxVtzIBGaYpKu0kqRZYYWyHRJ9BrtnWgEa40vpqANGZ6m6zh74zWa7ZLYbYjaYm2OtrnIv3g3ykvu42KDnKs1qSs4YYmr1RIfRc5Oa4PREa0zqiJDK5jkhpO5sPeVtlJQjpG6a+kbx7brMPMDKfh0a84evEFVFfR1R+cdTQ9TVRLWS6KxlLMDpuWE2XTKCsUrX/gijz7+kFzB/NUH1JuGuu6ZLyac3T9jta4xuaXMC+Zf+Qonn3uD5fkTJrNjqvkBMUYev/8Br77xeQJSMB86Qv6iePfuOk3clL8yZvUjgcMajY6amNrUIogeSHSsrjYc2wJtc85e+xzXz89ZXj4X5k4A2EkfDH+P0SezG1LiKpWc4+MjtI5stsNmKiCRHxk8g9bxcFd2OoC7zRep846AkU8yDCYFq0MG6oXh7CKuj+hJSdNtafqaPM8kKPCREDVOKbTVnJyekKvIfDEjLwpxL0aArRAjvmkp1QBWJJ2mvqNPovw6ASgQGF1EB1w7Dg95MMuTKq5SiV0VpD3bA85HTIz0riVET4yGrCwplIUgGkjWWmxeiNGGoM+cnJyyOn/K0fGJHFLWkhUlNs9HhrI8W2lTl+qSEXkQLVT6ECURDc4TXAdG3tt5z7q55MWjxzz+wfvUqzXlfM6rb3we1zRoAnk26LJB3zZUbUVXT1mvNxwcHlFvNmzWazbJoGcIfOYHh4T5nCLGlDBZgoPcZAnwQ9ol0r41hEl3mSz74y6jmL2f+ayyhF82RpMydvdjv91gKJzcZQwPY7fZyCHQtR31dosPAjatlmvaumGQg6lXW6bTmVQTQWQishxBgsVQUGdDi5y8n9FJa3FoWU3FJb332Aa9pCHQUUohlSlZz4N51VBUiuPP7PTBdWI+3T3gBt3AIXneAbiK6HraeivtuOst6+WKKi+oJhPKScVsMZdWVaV5+MpDrssrri8uefzhx9KJoMFYTUklia7aGdsBI6u3CpHgoSgcGnjlwT0++Ohj1uslB0cH9H2Lb3uKoiDLc/Iqp6gK5mHGg4evUE0quq6VIL7rZN2n4DfEiMlyMB3WFmSZY35wyGb7lLbtqJsGWxZMI6QeYfIsJ88yirwgywxXly/ophPywhJioJxUSQqiSQzKjDzpnaohOGW3r8UAJslgCKBtwERUNBibZAZSIVHAuFSUUGEsBPZ9x3GZSytdBHWHEb6br599+ZdxRInOXsb2GEY5KTHGYnROIOKHwkkUZpvSYkplkiHisGby4ogy23Dzwff5h/+X7/PaT/wU3/yFv8bJvQdSfDOG6eEpX/32KV/6xk/z0btv8d/+o/+c7bajqAryJG/kY8CnfcIHaZGESOdaPvz4CadnZ1RFTt85MYExitBFTJ6h03wbgSt2e/M+IPtp1z+8bggkQfY8tdcNsT/2tfT29/mB/Tckj8Pv3Tcj2i+y7e+lIUJQO0ZXiAJglVVFXdeogGiypq+HhJrdf3CcGBFyr2N6/5MiZ1KtqRtHmRdYa7h37x5NUzOdTlFK2GfLbY1ZLDg4PiG3BaU1FF3HxeMnLOuWKjPUmy3eiATUZlOzWW+ou5513WCM4fj0GBMiR0dHKKOlyOTFiX4ymYztaSG9Zr6YUlUlY9u/NqxXNS9e3PDwq1+jCZb7r7zChz/4AX1bc/7kOe17H/L6l79KX9f8xj/4f1PfLDl+9T6LoxO0yhh6zSO3iwJ/0dn84zz2wbAQ42gwAsP5EijKAlcLOIPRqDCIHymM0pLcJxkzpZR0TUVDZjK88TgcvRdpkpubKzBWvBy2W6rcgu+5ubokjACvfBaQBDnPM8rZgsOzBxzeewDRs7485403Xkcp6PpeYum0lozZFfoG0EeSED1+Rtleksa+Yizkxpjc4GPEdaKj3HWdGBSHIDIZSon8lM0ScWAw3/G0dYMylsIIEaWcHbE4uUc5maGSJ8ZktuDzP/F1rp4/Zd02dM6zODxieXUJKtInTfK+68WbxFSUsznFfEF9c4V3Du83cp/6nizPUyQPUankt6FTgXMfJNej7iHIdA4kX416S7PZcHN1zfnz52xWG+q6wdqMarpgMZsyPTjg4PhIgN3Mkk9mTJPE2vXTp3RNje9bVPA0mw2rmxtWN9cATKZTZgdzDo4Osbn4Mgwx/yADIh9K/EB8kM4rO5myXS4JKI4fPJROPH54vDvEVWPiNrxWfVIS5u7vGvI29dlYvgyJ2ctIIsN3laAxBCeM3Gp+hOs6mnZDWci+fXzyKgrFs+fP+PD992gaAShR0plqtQCaTSNgalmItu5gPjWcJ/t7h987w2594r0Yfp8I4r0fPW9876jrlq5rWa839L1IqxAlPuu9xNQ+iNQhSvLQPhUS207ISCruTOWtFRlCrTQaRZFl5JmQjYyS1vSiKNDWsN2umS7m5GWBUprlzTVN03B1cUGViy9JbjMas+H88oLD4yO6vuf8+TOUzXn++DFNXXN2dMSH739AGwIa8C7QtF5ApRT7aityAI8ePSZPXgRlWdK27S15j+Hs11rT9z2TyeRW3tR13Zi/D8SOGCJZniegX1rjrc1o23aMH2DXmTkUjgfjXGNtMsndGfL2vXQRFEXOen1DUWYYq/DeYfKcyXxOUU3IqynFZI7OS1CGEMH7nhBc2qMhy/b0dBNIv1/0Hubyj0Kc+Cxo/d8aO3hFTMeMRWUluqikAJ2+Gca9TKGjzKe+r/HRYULkpvN84Zd+maunF6wefcR6vQHfc7CYYjOLkLIVeTVnHiLuas1621DYjNK2FFZxsJjy9EXL1WrFwWwOSqN1iYotMXb0XoqPJmhQIg8aIxwezmguz+m3N2wdlJMCFdvxmWmd8sn0CG2eMZzFQzftzmROjWbMA6f6ZR0/WquRhcvw/ZQ7f7KAAJjhSAjE6DHKEzWU2hIE3cQkGbQQQSvPpFBsrh9RZhabW6RJX2K/IrOJoMWIk40FECXkopCKy0N82nSBi8tr+nqDipFqOmc2n9NUlt4HppMps8VhMhOdjGt0Rk/sPcvrNU+eveDRxx9x7/iAvBB/DbRhu66p+0jbddw7OUrSOIKPzQ4Oef7B+3z57/w9vv5zv8L5o/c5vHfGb/2jX6eZTfnc/Vf54P3HECKvPXyN+emJeB8Yg3JbolrgVMT7nre/9z1++df+BlnqpFPxk+cP7OLgfbxmnxA5fG33jH40vfAfCRyWtpR4K+CNMaDxKNdRr26YHZ9QLY6YzA4IPrC+fI7W4jA+glHskrN950sxhohkZcF8sRDwsOt3IHBKPPXIMrOpUra3WceBaZs2RB/Y0bMHbTFJWoVynqO8pzeBnp6v//S3CTh+95/9U3TXS1UFTTad8uDVz0lFLnoKa8isuWUqFxMcqdUQIMrndL6nd/14QAxDG/ndAnBB9DugcrhG7+MIkrjU3hK8pw+a6eExTdfSt71Ury0c33+I7xwmin6S1gZjM/KyTJ8Rju6d0W6ucc5RlJUsWJOhlU2MSp1YnaJVpI0ZjfBiKk1pFQlOWH+h78Ea0S2eH1BMpszmx0xmh6yWK7789a8xOzqk2Wz58J23xVBECZMqbtbYsseUNRQlIVXInetoV0vWN1dkRomjNhA0sskYg4qIzIYtdgDRULUYgJQECvIjLIqXgUr7i21/UX5WklRhYKYWjZeAHPLXv3gDIgrLXSRBPJk1LOZTqjKXdkGUOG43DdYYCU6sYruVoIkQx+q+yx2ZFWZrlhlAo5LrL0qJQYwa2IBSORv2ntvPJwXMWlrTB022GBOLL4QxkRnAomEtjoY66drGNRqHdSc/W9cNTd3QtR3X17J2RE+tFBZvVaGtmEHss4gvX1xweXlFntjSEaBCjPT0EDzuQK/MZuRZRm9F3qYoCso8F/C6F2F+7x3e69HJ+pVXXuHm6orz58/JrUUbRXAB1/c0dY1N7OEYFcFHyrKiXW8xxlBOKmyes9lsWHSdmHo4J4FrZsnyjKIUPfLJZkLT1Gy2GzabCdPpFKM0Xd2KZjOQJYA3yzKMUoShJVftgpDoA9qI5E2MER96aXuMgyvyELRqmrrm6uoGH8W5u5qUTKYT2r5js90yT68b9v39yvd+4Wc4E17G/PxMjLQGxnroXpIi39dUswXOd+AiZMI4jEF0OnVIGbmSoqLNMrTS2EzuyezwEJ0XbJc3PH/rO/z6O2/x5rd+nm//8q+SVZUkNsk87HNf/jrPvv2MP//936ToOo4XM3SWpzUU8OO9FlDryZOnbLY1i7Zjndqsne+YziqqPCOEjKYHO5jOqjCeiYKupOeXWAK3Czu75zicrQMLKBQTurZhYmMKRj/9mQ/3UZK82/fWJyNGRQL41C7oHhP3kAJ5RlJkqp57etdjUoXIp+BfoRJIn64lPZsYBu1zjbKa6XxGWXk5a71jUlmmk8V4jX3n0GXF/PCYb//Cr7Dc1HzrZ38BHzzrF8/57X/y64RmQ1SKPLfEELheLlkv12SZ5XQxoyhyMqPIqoI8UwTfYY1hNpuNbYs+9MSkzYqCPJOuAJTl5mbJ6uqGTWJMxSidC2/93u/IHqLEVND3jounH3Px9AmzXDFZHPBzv/YfUkznwKBxGsVFOze3zqjdMtg7t15yXv24jf2z0ycQ4NZQCltUqKZNSddg7CTf7puOzMo+6p1DZUbAc22p247o5d7Siw5xcL0QFLqeTAvo4vtG5toeQyimNWZMxuzomFc/9wUAnr3/DtH1ycRVJya/yLTpBIpqsyuqKG6DBTEy6uQpBikYCNHhnMcaAVe9C3uFn0hmNDbPMFmBUjsT2RDEQKrve4KyaFtwcDIjyww+ag4fvEZRznZ7o/dcPH2Cdx06eg5OTqnXGzQtVVXiXJduuyYrCnrnmFQG1zX0F1tIMm/VbCpyEjF1r+jB4HmnuczefiKO8dwC8Ibn71xPs61ZLbc8fXrO9dW1yCKdnHBwdIRHM1ssKKdT8qJitjiQ9n/X89H77wnI1ff4rqNttnTbDdvNCtc78qJgcbDg8OiIrCzGwrMyRuSeTNJqVKlzwnuCC+nMDJi8ZHac4buOcroQJnB8eWH1bjF9/xqHr/1lVuQAtH82xrCRs/cnI0s3eocOjna7ZnVzhVaK1WrFdruhbxuc6+m6nscff0Tfizlbl9rIh18p/jFi9glyBuZZRtt22CyjKIqkBa73CpE7wHfYU1xqDd8/B2EH/gXvaZtGPkPrCF4IWNumE73vxGD1TY93MeXbMpeapqNuWkKMOB/GvD0i+1qe55RFCUSqsiS34isSY0xeMkqYz0pxfnUJRnNwdCjdu67lxbl02s0nU5rtBkVk7Tx91zGdTCFEtpsNRZ5z/uKCru3Is4wXz55RWAveizRGCHhgPpvRt23SWU+xdZYnUsZtGb3hvB86F5qmoShEJ7nv+1vx43Bvh/jGWnNrj99ua2YzybWcc2SZGb2B8lzYkAM24fpeJCKSieV0OsP1jhA9VVXhvWMyKej7RogRBJQxlLM5k8UBtpiAyYgYkQ/yPW1bE2IYvTpQIZHqNMEPWuP7JvZ7BJiX5LP7Bfnh/uwXbn+cx8v2q+l0TtQV2y5yNMkSvpEK/DFJ8vnkC4HItRltaV1PdXjGk/c+5vf+i3/IweGcfFZyeLggyxQTPSOzeer8hHIy5yhq1nXDZrWmMjOyImMxmbDKtlwvb9DOMZ/PMEZLd3aIBBJjWTmismS5JfgeZT31B9+nsIGoZvR1RBuHH9m0Se8+aVPE4G+dT/sEh/0hwO/uNfuykndBxlvYVSIu7n5PApFTKJslKdAQvBi5Z8KoL4wQI60SiYhoKspYCJtTgdZ+jCGVEpa85OKGQQdfJ3Dau0BddyJhk6QjMmvJjWJxdIwi0vaBm+WW1pfU2xXOBU5OjojeYcKKAX3so0bZjMXRgnqz4mZS0kWo6w2VnuCJfPfP38XYknv3jpkWFXmh2G6uaPuepmuhczz+6GN+5d/6t3n45S+zurri9a98lbMHp8TZIZ3JeefPvscHH33MG198kwdvvMrZvXssDk6JKP7kt/4l2+UNm/WKk/uvwCjHK0U49G0g/+74NCzqr4pR/YiyEhLIqaFemgBZ75xUpJ0T1pfWRK259+qrrC7PGWQlhsoVCO1da32Lzei1AIZEqcYtFgvR5WraxD7eP/SGzHFo+RkmMYmtZhKIpNOhaXBeGLaDWUxI7RZKKTKrMLOCj97+Hl3bclRWqOjxSnGwOGBysCCaSGbA6nxs2xuD7WFCa50S8oHqLiypu4fLDuUHEEbdrury8mr18DWtDbk1bFYr3vyJr7G+ueHDd77P1Fq2qzUP3niDbrOkcIUsGGOJ2tC3HaaqiESmBwfEpkbbZChnDMrYsQVKWwGMdy38KdeNAgxH1xOdw/eOrm3o1p5yMicagzY5R6f3ODo+IaYgH6WYLnK+8lPfZseniWyWN8To2dZrlldiQPD80UeovCIvO5qm5frqSgDsvEAX2ejAmRWVKFvmPdZYUg0/zdHhc6d7HF/OOPphjOLbz/b2gtwHoT4L466RwP4171/f/jUPf966D8iTy8uc45NjNtc3RODs3j02mw3Pnz4DH7i5vsa7jhg9fd/RtT3bzVZci4eWJ2vIjCXPM6qqpKpKTC7AYpZlslfEOLKO7uocDkWUuJfMDMDwcM0DuMudaxsC5uE1L3veO8BIpGeEaeBAiZ7aZDIhL3IGjd2yqjDW0ta1MPaNxfvA+YsXoBSZzcRQx0eqyQSTkSqxQNQYnRG0BOllWdLWDfPZjMV8lpzNZZ/1rkWVGXmRcXx8QrvZ8vb33sIHx+nxCVVV0nc9fedRyhODQhsgSJvdtq7HtSzFk0DoAzrutZplVj5zWWC7nnsPX6Ftatq2Yb1ZcX19zeHhIcubJXkpRioxRJx12FyYwTazI4NhCCRieo+2bUX+ohfWWAiBrmlwvaPZNngfcC5ydXXFelNjM8NsPicrMrIiZzKdU02mI2Nif17sP+O7YPHd4s5nYezmJbuiF7cLVpHIdHGIyTI8QdjxDNppUiBVVoCg1XJJU2/J8hybVRijcSFSVROKLKeta7ZNw9u//5s8+fB9/t5/8B9SzA5SIthjbM4XvvxV/uA3/xUh9Fy4JVmuqYqSUctMKxrXUm8a2l5RTQ/Zdj29Mtx/9VUevP45vv/7v0sWeigVVkm7uIpKABhSJ4MSICuS5GDGIHF3Xu4Mam8XBHzXytkXfTpyPrlX3y3YDnsc7GQmRA5L7QXSuzmlUrF2KCwNDP1xfskmljT541Cjkj0t7tqVBxW4qAR00FFigr7v5GxToK0wMxkvJXJwsCDvOkK35ff+6T/mlTc+z3vf0ZSTCe/++Z9hYk9VFVSZxijF9c2a9WrFa6+/OgJ+Q+Ewz5PBawy43qXEWUCqwUl9OLcDnkwXvLi44frqGqK4M0+mU85eeUi3afjww4/p+5af/LlvM5vPd3u+/gYRzXXrKacLubfp0ah0L/4yo2u7v9Tr/nsfKabVe07y2ph0/y22mBHjcrzuffJF3wuIA3IORRQuRjBF0vHMCE6hXU/oHDbL8F3DZr1iu7yBKIBsZuS9xiRPS+H04PCI2fF9lqsNerNFxyBAvgL0IN2lsXaXIErz2O1z83bbqkIZTYiiWWjxYqZlNKSYe2AxyvozGKOweQEpBgV5TdfJM86ynKAkJlhfXZJNJtx744sU5STdM7nH1y/OWZ0/wfiePvTkZUnfd5SZoZxOWN90o1t5URQ472m2a6y1BNdR11uqciIFVROIQQqZI0OYQf5D5OXGEePevrQfL0acC6zXLc/Przg/v+bg8IiDowWzxYysKHAx4lEUZUk1m0q+EAKu3pAHR6hFN3x5dc12s8L3HXmZc3rvhGo2T7FEhjUGawzGWkxRCAs7PY+RAZaGdEbkBN9z8sprQoHRQg4Z4qW/8lxnBzi8bHxWzt3dELaaxJKK/UKW1WLk+/jjD3BdQ5lZ+l5MgW2m8UHYnL3raBMpxns/7gMxRsqyYPDXyDJpddZaWI6DL02WZQL8kGK0xJSbJoPhfYbxIM01AJ4xRoL3dG1L33a4tqeuJbfqug6pz2jqbctAVGh7l85CTeg9fZ/kT5Ih+9BZk+c5Z6++yvXV1R7Lb79rT86X2cEBRVmybWpUZjm7/4DFXGTLnj1+RLPesJhOsFrTBOkQaLZ10vFXoqUdItcXl5iouH96xvm5yE+4vsP1iX0bI5rIdr3GGI3NEki1RwoZwNgBwB3iqaIocM5RluX4fLIsG18jz6pku92SZRkheJGz0Tsyg9aIdA9CyBk0jYfW/ul0mgpGwnYsy3KUkxhMmW1mEg6gaZp2/LwqRKIWzfVydkA5P8BHQ+9D2kvd+L567OzY5XGDTOW+SRXcNvTaj6HuxkXjaviM5Lx3h1KKvJrwzV/72zx99D6bZ484MBUxJF+KECDKWaWiF4Nl12OCoW4asszRrK756jd/gmk1Y9u3LE7v0W63YMTgziqL77YobVA25/TkiBfnjuW24cBarFIcz6bE6LnY1ly6NSf37jExgawL2CRVZIQuKuGjzdHGUKmA1j7Fl1IgGmJFFQIG6e5mfOZqzHNjFHJhZrMUZ+9y4riHjew/5yH+vctOlT+BvXgwJlIhQ/wch2gxxaxKOtDi+DXoXQDtsZnC9Tu5poFdr1IBW7p1hg6iZL4LtK3j8npF26w5PT1hPptRFRn3759iMpFL9b3jZrXFK83l+XOOZlOsUqCFqNU7h1GaPMvpYyCoSDkpmR0cUPeOm+UNeSWyU19880vUbU/X1Fxe3lD35/S9Jy9KiumU7KxkOs35g3/+T/mpn/lFKRzlhj/5zp+hNXz89rusmobzyxd870//lJ/4qa/z7/3H/yvycsrj937A3/9P/1OC7/mZX/ubHBydiKzEbvLemsfwcpnEu6S/u0TAH2X8aOBwFM3RIXId4FlszuL0PlkxQSmh6UfEQVtESyRwCkRUMkyKCpFpcA5jLVEZvI5ipKMixlryoqSczinrRly0vUsA7HCxEYXojYFKbcpDK20YgVZFQBnNvJpBqlhYuwORRO3CE5yXtoPKEhdTMIYQA77rmFQ5aNGEE/azHtvVB2byAJjLYpAWOuedVE8i4wG+q7xJUi/B6lCh3gXGI4skPXSFVHFNYgWE1Yo/+c1/xbf/2q/yxW9+i2fvfh8dPMurK84ePBDWrTwMVJbR1ltmZYndTwS1QVsrOsLpUNHGoG3B0Nw4lIPGYkDX4Z24OYtLcsf58xf0znH/c29iBgH4QTycXbJjs3yUgIgxMj89ARQL7nP/1UjfNJw/ecS7f/5dPnjn+zi/oneRru3pmkaYik2TwHeFsqJbbPNyrKwEdVdd6Tag+MOqo/uv3R/7yc8Y+Ku/egz9/+/xww70T/verft09zVKc/bKQ/CKD3/wPpu64eTsjKZt2dxc4/qe9XIpRgp5SVaUFEXO8mYpzKMkUVLkOZHIZFIxm06ZHx0yX8wFeM3VaBgghCQ9Jju75GvHLP60itr+dd4FCV92rcJ2sLhU1AlB2ulcKvQEL0Ye19fXHJ+cUFRS/c+SLEu2WNBsaxSK6WyBD4GLixccLBZYm40me3ko0EaPe0r6lGMgyZB4K8W2runaNjGXpFKbFzltY7hYrcmzHO81bS0GdTFEukaCVK0d1grQI+aaCbxKgUPvUtu6MWTJwb1Qiul8Ttd15FVBs6lHN23bSpX2+uoa7wJ531MU/WiEOYkT+R2hEGPQGEdgfwDHnPcQAr0Tl3Xv/cgqd86LzMW24erqWtqNowS2eVlg84zZfM7B4RE/yiL8i+bHj+sYQcY9kP2TQ5iY+WSKqzeUWT5W07s2GSxFy3azQROFLaEV2kqSQ+gS+Kwpp3PyaoK+esHNo/f5zf/6H/O3/+f/gbAErQCV9157jf/4P/lPuLm6YPn8nD//vd/lxcVjjJWEyDuPySdMj0/5e//23+b0/kMyY6UlvKrwrqVpHI/+/I+YdmLgpnIBNHwQiaZxr07GbVHpUX96vC/s2P53GS1WCePXR9Ax8DK+y36RaPj30Pp/d08Y1uLQhyjsBTfuEePXElg8ICTDftJ33fgedz/DrfdIRfMYoly6d7f2q+G9jBEH9aKq0tcVcf2CD7/znIjGaMiU6FEWuRYDufmE6fR18kLmxyhnQYpGUtw0JBT7XVlGW7QS8KNzHSG2RO+YTEqKMmM+X3B4fER5ep8Xj59hspyDgxmHx4fJF6GnsJCXFZPjV/jCa18iT6zhIcW4O+9fxnQZvpalFuHPwhgARVMUt1g8tihHQ5uYYjytFSEqSBrWxIElGOj6BlPNWF5dYo2hazqUgsl0hhQhHJfPn7K8upafT2QInxmMlr8bDHmWc3ByxvzsAVk5ldgZSCgwxoi8mDCFDcGJmfLABCYVDnQyoRpkJoZr1QgBo6wqXL2Ufd+7Ua++7/uxJdQYjY8Gq6U/re/7sZ17IG+I9q/FJl3TkAo1CiXdjBGaekO9GjrNMkwQ+ZxpabFGE5MxW4hS7M2LihDk/NHBo2xGWU6JiS0cIklKTe202xHAiz1geIhD7j5v+UtETKjF1f303iknp6cU04rJdMpkOiGfzjFlhXcOayyXz57gm4a+3RCDp9mKTnHf9WS55eD4kOPTY6rJREyhtZg153mJzaw8CyMdf5Ksp/PXk+Scwri/9eslm+WKg5N7ienNp56nf6kEcwSW41gUedla+KyM3UcdGP0DGUG+GkOkLArWyxvRqyaOcWO92aR9XLwrjDG0fTeCLt57stzinKec5GSZpOPee2KadyLXIODhbDqlH8DM9AHqugbY6doneYLOOTRK5A20JvhA17RsNxu225r1tqNr3ViAyfMSEMOyECNoIx4XUfTuu95JTpuKzcMz9M5x8eJFAjl1uoZI73oqpYQgkGfMFnNh12nFwaHIKN1cX/P440d0bUtZ5PR1zc1GTDb9IP3StFRFJWbmG5Ea9M6xXl4Ly9l5ijxH54O0VSTbk4bKbTECoUMhdJ8pnOc5SqkRRB/Ob2vlWQxrZbivzjmKokApRZbJmT5o+wqIn98CbQYwejDFqmuRhNJamJTDuT7+zJhna4xVCVBeoIAMy+LglHJyQFbO8Vha51MXkUv4hx3P9bvkiP2seFjLw1kEnyQQDTHAvrzWXRmuz8IYckYAjObeq5/j+OSYP/knzwXzydL3tCKGBKaGQIw9nkjX9XQY/PKGxbTEHn0O5Tqm3rJZ39D6wOOnKw4rzeL0PlJfC5TTKdoYolZ8+P4HTCcVWWYoC8ucKadvfpmj41M+ePcttk3LgY5i1mq0gL4MhmsBiyIYMWRXGrRRMDCG93JHtzd3FYzFJWO0FGdVOqu12e3N6jY4PMybuwXg28VFOdd2X9+RHIbfucPC1JjLgvxTa+lalO7WrTyHaoJKrPZbxYv0eQa976FTtGlqLl6cs5iXaCOYY5ZnZKZCmRyTiSpAXk34+KOPKPOSqpqjyFAamr6h95HW9xIT5Tn1ekm92YI2TA9mrC6f0TQfkZcTQtS0aN74yW9TzKdsri7ptmtWqxWr1Yq26fjN//If4UzJG1/4ItcvHvHs/bfJ8oJ2veHbP/Mt5qeH/NG/+A0eHJ/whS9/ifXzpyxfPEVHy0989cu8/+67fPOnf1pY1SrJckVGrPFurnB33C3iDMSh/a/9ZcePBA4P+mHpUzBIEOSTKdYWCBKsCNHRdz03V1eEGOhjxNqCvCqSrij0jQCL2hjysmB6fEo1n7O6fC5tcCRdW22ophPysqBrOjbbNV3fErwfJ3MkJlO0gNLC0FAqpo02YAtpjS6KcjwYBHsRuQu0TgzTdPOHSkpioPZ9T+8dVlkCEastISVuGp0Wgr9142MMe+L1Oyr88AC9F0bH7oFGhOQor9HaiBkbshEon0AjJYZMPjnQ5hr+5Pd+l1/9O3+HwhrOH32IDoF2u2V2eIjbbiTRzjKC7wiux1iNzTIw4rw7BJhokxwiMwbNUaUEXBdgSVx5Q9fR1mvRYK1rtustz5884f33vs+vHZ+Kpssd/k/cp8OQCvCKNGdSYqojtip48IUvcO/11/n6z/ws3/nd3+HR22+hlMZ3nna9IS9LQvD0riO3mdxjeWzjFjVWr4ZNj389YCje2tx2rO/PQmsrvDyw39fRfNm9+cTXZFcX04uoUbbk9LU3yKoZUVuyImc2n/P4gw+5PD+nbVtW6xqtWrQW93BjRA5BtLZ6MbBMjJfpbMbx2Rn37t/j6NhzeHggiWoKmvefwV0w6O7hJYzJVL3cB37uXOvdw2/4HX3XScLO0KYuB5YEehl9v2S73TJbzJkgh6KOkGcZPkYm85lITOQZeZ6TZTkvXlzI3I2RKlVyq6Igai+mH0nOoW0CIXqUVZhoKMqC1WpF00p7bRmjGGMGcS4uZxNmiwXrmxvW6y2zgwMBEpyDVtiYnSJVmiNtJ0ZGwcdkKsLoTD2sGWNzZgeHrDYr2q7GWk05rShnFS70bNZrLi8uWK3X3L9/byz2ECJrJwy2vt6OgfQAQMUozyV4l1iWIbE/elwv4IH3kdVmy4vn53R9R1mUHBwsODw44vDgiLwsOb73AJWVwqSIEO6sw0+bz59ZBsRQABn/uX92yH5q85LDswdsL5+jdJ60MRE9zw5wjra5FiM6pQRQMlaSilR4QWUoH0WP0pbkpub844+JzkMmgE+MAZSmmMw5m844efg5Pv9T36TZbEb2jfeeohJWTIiK9WZL23dcPn3Ka5/7PNZmvPa1r6Fs4Pydt+jalrbvqPJCJFdMtktKyNL+nph7DCw4xaBfutMO3NdCFU1HUdTYtdimn2TogxBgeCdXIXGEBOY7UP6TBaRbQXOUordzwjjZh4tiFOMPuW37mm67TiibZfK+w9myK72nhx53McleQB6SdqgUdSMaT2ZkokQVxqKMtMcrcqMwJkfrBETEkIr5oJO5iU6MVtCi4az18BFY3lxzeXmJyQuODgoWiwlZllFOp2S5zCvvHa+++WXefvtdJlbRbTYjEGjVlOp0TjGZk5UT4nD+7zD3vSn/6WeSSgDmZ2LE21HCmPjEKDr8sKcrJ3NyYFLrW7cgsee1IQaHdz1Emd++66m3L3j+6BFXL15ATAZJpM4XLw7hMc/Jq4r7Dx9iqxm2nKAUCVDQYwv28DlNah/NyxLveqLrxfCFQcswgcF7oAuAicJ06zdrAl6IBG2PCzvwQynRCNdaJCW01qPB3q4lXhLB4AX4Hs4I8pzPzw9GIDIScF1N6BsBtJW0osYBrEwmd9OFtI2aBILbIk9ScULoGJLQ3b6wD/6qAWkYWU47RtUnH/uwXo3V5IWAAsYoZtOKajalmFRSoFMKHyLNpma7uqFeLYl9x2Z5JYXTBGKd3TsVeaekSSy6wlmSJBDfkJFdOoDnSo8dkjEMpBPZQ+p6y2a5wkwOODi+P25Yd4vmw/n9MqB3vM50nxMsPM77vRd96s9/dsa4owstScl8aJuam8sLqiLHJ2mHOGjgBjkLXO/o225kbQ5rJaTXDWfXDhBWZEl7dz6fs1gs2CQwsSiK8R7vnyEj0JjORp9e1XUdrpWCbd92bNYbfJRctumkSBP7Lhmyw3q9wUVFkRdcL28wxsoeE8REVaZD6rjNc8o8T+zWFNtrI9KA3lHmExbHR3TBs20bTs/OODw6whjLk8ePwHsOZzMya3n29Cm5NWib0XjpZIvG8OTxE+qmRhktxamUz2mtwUrsp9NaE91jh7VZ8gxSTKfT8f4M934APYd7t18glq7FXUwxrIFBR5j0vAY9X5A9djijiyK/BaZqrUeQv2maEXwWaTn5/mw2Y7Va3XqOeVYQYmSzrnn48CGLkzNUUTE7OMZkJa0PtH1PDA6FGNxZk49GrsPn3P8TuBV/7H9/nzyzX+zeZxJ/loDh/RhtaGZQCIbSbVtc11FOSukmt1a6olPnd1CK2CuUd6y1YXa4IGxWcl6piCpzdIAqbDk8esiLqw3PP3yLan6IQpj6xuTkRY7dKHQiRebKoq1BdYqTe/f5s9/9XRb0XFxdcfDwFBU8oW+JyqROUZXk1GRoLf+O0WO0GYsOexdN9CLbOBKq9sDj8TmPpBoxpN0vaOwDxKMnFntd7nGULE5xtiLG20z13fsZhnVxN2cJXsyni6KCDJx3YxF2p9ediKUhIkxoI8U5peldj+sbquIAm4mJXXoHQnD4VorZmbWcHB/y7ttv8/DhQ5Q26Uz0LDc1tprSL5fgHEHlFEcPmVU13nu+9yd/SlmWfOtXvs52u6HqOnzsqQ5m/Nlv/zYHuWJS5pzdO2Q6m3L14pKLuue9P/5DHn33j/iJr38RpSzLmxuubi7R9Lxx74w3v/ol6r7FNYEyy7laLXnzK1/m/MUFi8PjMa4JKJGJ3INe4eXref97+1jjX3X8SODwy4ZUzHra3id3Usu23ooTb9dy9trrTGaHlKU4br54+pibqythFimL0pauc/ira2xWcXLvdS6fPiL6TgLfENBanIvtNCMvc5zrBHTuxIW0azvqeoOOGptZyqIkS8mlMVK1G5iKsmGAD47BSTSkZBAGveA4gpkKNQaSWqnkcqiweic2f6sylYbfA6/vOm/vH+JGkaQoRCJjp4O655JOckQ3BqM0zjtW2420oeAoVcZbf/xH/OTP/zzZZMLVk8f0XUtWGDGn0AIOx9BSb5dMZnOyvML5Hh0VVmlQJrX0WZGCAGQ7DQkg80TXEbyj7xu2qyXdesPNzRXPnp6L87wKvPWn3+FnfuVX95Lw3W8S7ClAEBbF0ILr+g4VI/V2S9c0bLdbzp8+Y3n5gtXVhegPGi1adQlwd85jUjuNHVrm9BCAxnHTGsbd57N/EO7/OXzvZYtqf3MTIEwqjZ+FcXdjHr5290DYvw+3qlMJaJWqqif0SX9KweLkiK98/Wt8/EHJdDrBaM1sMefm8or1ak3XtKMbudKKzXYr8z8M8g6iE1yU11yv1ok11JNnlqmdY+IuIOMln+12knb7md9i/P2Q+3H32e4HQtpokWpoW4LznJwcj9ptq+WK+WKRtPzkOnwQbfDJdEq9bVgcHOCc4+rqiufPnvHw1VdhI2wP33aiHWyGVhsHSOBqs4wQIlmWk+fF6FquEMaKMK8LiqJgMpvS1jW9c7RNKwEEQIjiyl6WdH0nCZxWyem85vL8BUZpFouD3V6pFHlekOUlJ2f3cF2Hb3oikSzPODg4wBrDZr0Wd1jvuHd2xmQ6Fc3wZNBhjKZPWnaDXpnorw3FMwkGBvO8EKBtO66vV1y+uJBEC1jMpxweH1LOJthJxeHZGUdn94lKwErFyw/Au9XVzxQY/JJxt8AGe3M/RKIyvPGlr/L937uUQqJRWKNpgminhRDIipKoBAAUo5mAd8J0VVH0Zruup3M9MSuxh2c8f3bOB++8zRe++jVgYIKn4nAKLslLskx07fNbm34kuJ533/o+/9V/9v/C1xv+1v/s3+Hn//rf5OzsPm+8/jkuv/ELZDrywbtv8YM//WPi1ZIsM+STSrSR01oMKJwXnqkxwlAKwe2dqYNzsbz9wG4gRjwCEI+tkokF5n3Aq0heZNjUQoo2RBTlpKSpt2nvC2M8MLgGx1RsiTF1/7ihW0liluB90jRTyehpFxPcPWNc349agCAapn2XSh5K9InTb2IoSY4BfNQiWZz+7bxHqwTGpuTBswckjMzmFLtohTWGGMSdvWkkKRleYzKRctFKsV1v8G1Hs+05mM0oJwWub0XCIK0vfXNFd1jzrV/4GTaPP6BrGl48v2CzWrNer/mJn+35xl9/E7TdXdOPGMN+VpLUl50v4/cSmCEsGkvftWleiIyKgEY6FeeTbEEQT4YYAkaLDqXWmrpr+fjdt3n64UfEmM5mH3ZnrI9onVNO57z2hS8AiIxDFGBYKZXmShiBzqGDRUxAHSQG5O4s3RVq98EWpUS/se9bulZ0QKOPaGWxNo4t6fvvMUyBgaG3WwtSBBjAdK80UVswOSYfQDJFDJ7V1QV4hzESV0ctniU+eLQp5RoHDdfUvRMRUsRQkFHpMwyf7e48G4xS74Iqn9iYh2eu1ChBtVjMeP78nLbZYq3G+x4XPJtHj7DlFNqO5fUlfdPSNjUxOuYHc45OjplNZ0ymU2xuwUpxvcgLbJalIom6BQSY/U639D/pYJT54Jxju14SQ6SazhiAg2GOfgJU+sustxj3coe9L4OAep/Bsf+ppb4YBahI+t1Ga65vbqi3GxZViQsio+Z9oCjLsTPLWkvbiqGZ84G+l9hGG01VFhR5jk05jjAD9bgWttttir12LNhhuoWYWOFawFHnBfTwyUz87Owezx89pms7ljdLtts67SkmrU8xbd1u6xSbb4SUFDV125JlOW0icWmlMZmAQFkyYbda2MLWWrTVZLmAoEUuUoWz6QxrLcvNmtl8zv2HrxBc5Afvvofre8osp6sbXtzcYI10HKxubvAh0G5rXNfTtK3sQV27k8hCiR5r8iMwRqOCxAaZNQmANTjn8a4ns2Y0zLM2R6VcErVj94YoAGuWZyOTuOu6cT8YTOwGQLdumjHOl70i4PpA77yQwbyXOCXGZHLpqMoChUjsRJuhlXi0bLbPcSEwXxzQdy1lLvq1RVEAmtWm4ey1KZOjU0xR0Svw/U5GwujU9atFt/p2PjMA+rsZvS8lMc7vAbRLfgb7hYex6Gdu+yz9OI/9PH2QPJB14zl/+gSbKSLCEnZu6DJHiIbRE3XEO8/pq5/n5sk5VZGjtZGzRRmCylG6ZXVxhSrnzI6PUZsNuihxvcfTERX0bUfw8j7GGJwJTMqS68cfclhlzI0CfcL1uuVwYsTDKwG4fe+w0n6/l5MK6XEn17rbswc5uYE4NMSTg3zT7rzaB43DrXsGu3PNWovzLhWOQgJoh1rfABgPeQjsg8jytd2Zs1+UGAvhMeJCoPGRcjzLGHNwUAnvkbUVo+hu21x02SfFRMhXeY4yluBcen4pFkfh+w5FIHjHxYtzttuNyN9YjZkd8zN/499kdXPNH/7zf4xp1tTNFpsppsbwK9/+Os+ul1xenlNfXTIxgQ9fPObjH7xNoT0PX32D6awkRIexuRBAYuT9t7/LYqIhC8S+o9veMEPRr684e+VUZErKgtXNiu++/zbX6y1thMWD+xzcvyeF6giMjGFuHUZ/lfj3R81//8rg8FCNEdBU03cd27Yhy3KKouTevfsE37DdLFndXPHkww+5ub4EHzg5OaWaTvHesVkLYq+6hutnT1DqFU4fvsb5448Irh3byodWbGHuaQJQFCkpjiEZvcSxdUSYwbIIBsCQASwCrMqJ0Sew6zZg9nLTItlkrYWB1nFrk0y/Yqg47ieBYwDMbfBpkMAY76PeGStB0k5O5KUYowR8SlqGmrYhdg6NIStE5+bd736Xr3zzWxRZxvLiBb0LTKqCIi/BGKlAxUiz3YiZnjLijh6FnRnVHtsSGDSdI1ESDtfT9y3KGrrecfXiko8ffUzX9xwczFG+4/T4YAcMD5Wk4Gm3G9bLG9arpehHeYeKcWwrj8GjQqBve+rtlpvrG7zr6ftuXOwhBoyVqi5jYj7cLzVWlIdn97IKyl1A9GWg4qdVYva/Ls9zeIafnbF/LXfn5PD9/TECL+kQjX1PW2+5ubpK8mvCpjVK8fDVV1nMZxRFwXQ25fjkhGa75ebqms16Q9s2EtwNB1YUWZjh/fu+4/mzZ3jXk2eG2aSiSGZYOq1/fTdZu8XuuV31HE6uu1viXcBwKMAMRZ5bFTqt0Uoq/2VRSqtdEZjNZqLh1nWsbpYit2AzbFGgMqlCZ3nBbDGXINeJGUlTNzx7+oyzszNigJB5ur5DJxBnXwttZzolpiYqmWN6J0lzUZT0dUee5cznc2El9I4X5y84DsfCxjIG3/W4zskhYzR5WXJ5fsHF+QvapsVkOUfHR8wPD8Q92lqm8xlZWTK3huACj7Yt09lUuJshSKty19M1LV3d8OzJU46Ojjg6PaGaTHB9l8xAhhY3uZ/GCMghpnoShHW9o21bnPOcn79gtVyz3WyZzWYcn55ydHrC/VcfcvrwIfPjYxaHR5gsyd5ECAwa9J+ct3e/drf48VkYf5nPKXtuZHFwTFVVAkx6x2rbCgiVWWH/jvGgY7u8wTthmGtrmR4eMT055PP3HrBabYlVyfG9E37vv/1NHj17yhtf/IokrCjRYtKwf99FliBCvF0YtDbjWz/906xenPPb/82v8xv/4P9DvW74m3/vfyJJiLXMj4745tkDvvyNn+Ot3/9t3vqj30VfL5kUhqycjOaLCaFlLOqO7GE574fzNwQBwIdEyRjZZ5yTMw21C7ajFhbCED/I1qETC0wYHPvn8svOkHFPjVGCOi9gk0Xmp/MOFVWKh+NLfxfsCsKub1A6YlLLfCAVlxN1a9/zYAAM7u6Bmc7u7I9DiRaE+ZVa5tP3lpstH378CKIY3BidQOcIOjPCeFHQRyEErG7WzGYPqOaVFA5jkAJu17K5kLjAGsNy29B5z/TwkEjk8voGnZefmEIvW7MvWwu76/wLl8V//2PIzF86pGsr9TUJYSFGSN4VSsdR4mSf0TW8Rg8SK0rRbzesrm9GdugABIYAWZETtWJ2sOBzX/oSRTUhxsB0NkfrZMgDEN0ISO0+viR7Wok8SxiTwzT/9JAH7K4qeE/TdVIwlarFqIVojCFTO/1PILGhU0JrcqppJp0tfQ9KPr8wLDWuE7PDr/7Ut1KBCIZ53WyW5LEjBkVM79eFgEpLftg32FvLmhTlDnNq/E9eN+gf70xS77Zqj1fNrnSzf+80xmRM5wviPUnQry6v2K43GCsMy67ruXp2Tlc3uL4lzwsW8zmHZ0dyDieWsM0y0YnPC2ENGzMyrYb3G+SohuJRCF66/Vx/SwJn6PizeUleVkQlNJABIP+0eDAF9Z863W+/dNdVEfe+9lkaEYhKS9I/fnZhicY0r7abLRrFZrWS4n4E5wKbpsa7XvwinMgEBQ/ORawpCKEnusCkKJhPSzGeUjaZKDv6PmCMJqhIIMr+YLJUEBLmr4+BTO90cZWCkMAfqzKuzy/wSfqvSfIQXRdoug7nA8YUrLc1vfN0fU+qccpa9ZEY+yRXkAhKSpEZkXfJiwJrNDa3zGZTnHeYTIzap5OKvCqpJpUw7oqS+2f3iM7zzltvE2MkzzLW6zWKQFkVtHVN02xZbta4Xu6Xd47eJeKFMhJbhCBnUdTkqQMx+kCWaYy2BCdm9cRIVRbcPzvh8vJiJ2HjvfgkKUXXdyijpIPGaLTVNG07ag9ro2nqZgRIpVAFMQaKsiKEwKZuMUbMm02Wo0LA+R6T7pk1mjyz5JmVjmcgS3Hxpm7wSmPKCW9+4Qu8+dWf4MnHH3Lz4hxLEJ8Sm3N89gA7naImJUErIWx4h1FiZDgYZqpU+B9yb3279STFRTsT3X0m9f64qyG/T5j5rBjSOe/pU9fFPmipCRwcHfDx93pUMnSMKoz7nsiB9qjgaVXBcVnS+QZb5OjMQB8ImcG7nqbtaWLgl/7G3+CD73+P937zn3Ny71Tixr7Fx0DvvXSbtj1hEoWQlxkunz8Tn66jQ3Jfc7NeUeU5kYxJJnJJ3okRcIw2yWiJrI3Vg1Hb7ZhvnzTgXCfXn+26N6PWBK3QRJROJu+fol0LQgp0zkkxdY/qd5eYJYQJucdhBJLDSKQYCJhDYUVyv3TOaAN3NPF9IoUCNE3L1dWKVlkKben7humkIviAKktu1mtUKrJHHwleCjQim9hjosFlOb/4d/+nzM8eMJ8vUNFRb1ZcXVzyO//sv8Qqg+lrjg9nVPMDkcdxgRfPn6OCx12e8+arD5nOJtxcXvP+40cspgusVXjfSRHeRNY3S3yV45o187NXCJ10yU5mc9quYz6p0EXBZrvl2Q9+wLrpOTp7wPVyy2//9m/xv/vf/x9E4ifFTXdjq+FZ/1XGy9b5Dxs/mqyE0sShAgPpwwtAlmUWEzTbzZrn771DkWfUmzVts5GKnLJMy5ysqNhsNyyvrzAajE1aYyGA67h68RSbP+Tw3v+Xu/96tixNzzux32eW2/74dJWZ5bqqq70DAQIEgYYjMARmOEMNnYYaRSgUoQhFTEg3utBfoNCdQjejYEjiKIYciiBBDpskCG/bgo1Go135qsxKd/zZfrnv08X7rbX3OXmyuhrkhDpndVTnMfvsvcxn3vd5n/d59jh5eA8dqhrChmlaLkSbTHYsSUYjs7qUJlFu45jQeopvBv2q+ij6K+cDoYsMytXNdXgnOsTq3Gep9r3X27ZkcK9M6JrW9EYjSDTdLN4FVqY/z3htgGGtNN6VGG2oUYy299h75lnu33mP2XgMQcTc5znvvvZdbj3/Ao4tImtxZQ42wkYGpW34L7QwKSsVCqtDcLxKHtuB6UW3rq5KijJnuZijrWE6mXL/vQfkeclgc8Co3ycvc8qqBGpUaIs4Pdzn6MF9lrMpuKo1wZHk2RMRjEpM0H2yAkRaDVVVUCwX0kaJwsYxrq6IYklGDQQXbmhlQXzjGP34+L08MG0kJ5px3WyK60n7+Qklw18Yc09bsNsc62P8SdewApIdCkddLDk+OODgwUOiKGKRL6nqGh9YECrItfR6XdL4OuVSTDhmkwmL2Zy8WIqBQ6uDJG0xCml9m8/nHB0eMZ1OefDgAVtbG4yWS5I4FgBQnWfHwHkw+FLA5QIQvB7cXJzvbXKllLjWNolN0FjTZlUMGPT7zGczTk9PAWEVJHHKcpkzyDIJwiKIgmNzVpYMhyOmZ2PyRc7h4RH9/oA4tSRpggrM2kafrGl1y4uC2XxBEqfESSLrlY1Q1pJ1e8xnojmXdjJ6wwHzyZRivmD/0T5JlknS4Bx1uO60KwY+h/v74nQdx1y5dpXBxgbdXg9jRGs462RiBBClbG7v4YqC/Xs13SxjNp7gnbQWe+eZzaYCehePmC2Xso65OgDdK3aDtRZXC4i0XIqTd2NON53OWCwWYsBUVqRZxmBnk+vP3ua5F19i7/oN4iwY0CmFUwKUN0U71PsUNi6Mjf+5HOevS56HiROOjo5wVY7WChPFZKkYQSRRJOPZ1XgXGIEakuEW128+w3w2YTI+4+jolM7GDsMk5d/9iy/w4RdfYns04p/+o3/E53/u5/nil77Iz/7sz9Ib9M/NL+c9+XzGN7/+J7iq4uOf+1E63a7sNUbzEz/3s3zowx/iT/74D/j6H/wmka+4f/8ey+kJV5+5yY1nX+TGCy/x0b/yUzzz8isc3n2bV//0T1iOT0TvOhhVNoy+hq3gXAMUSwGxLMX80nvIsqydUzpU4c3aGqIkmqV2GtW2/EJrQMSqOHvZmqkBtG739sp5vJE4ydiYOE2oiwI/n6OD3ERZFCugT600hmGdORmHz5fPqyGwQA1ayZ55cS1sjjiOz733uscBIQlq4pOGbYb3JLHl6s4283nBYpELO04r6qrGK42OUpSNuHZrl9PDQybHx+Rvv4OODb1en83tHZbzBXffeZvhjdvMDk+4fnWD3nBE4WC+WHI8z/nxH/urZMPtJwLu32/Mr//7NBxtFHGx6AzBGMUTJzHTcWBoOUJ8JoW4JtFvCpezyZhOlor+KIpyuaCYTSiKJVFicYvV+PJhvm/t7PHCyy+xub1NWdVEkSSbTUJJO9aEpSR/v+5QvtLdvKiBLRe3Sj6qqpK4IADjjVTFegeddJI0hAhH5WpAzO/Qmk5XjOSqMkdpQ2wjisWcSGmSQV9aL9fBWI8Ujl2NQwlA5g3dzV3y5QJFFQBwT1EWRHGCamMb2nNdi4ABL5BviINFXiWAxpfMvdVzWiMMeImLkizDaEOUpnQHAybjMflSCnfeebqdDpsbG8SJmNGmaYqKbJCkirBxHKQkDCjz2P1v5nr4yNU1edFvrcqSqi6lIF1VnB6fUDvPYDgiTtOmMt7G/U8uZ6yA9HWQ+PuRK576o8mHYDVnwmCZTacYrSmqisVczH69Vy071QXzRQUUZSnruzUYp4hM0E73TWdejXM6SLAFI8S102jmdB2koFppigb8afLWAKJWZRGA4RzvwZiIZT4mL0QaajbPmS+WIcsWANrVNVnWCcaIBP1xIUkkSSz/xmKS5eqK2GYiIxXFZFmGR7whur0ueZETxRFXrl5Ba829e/dkHTCGfLkE75nNZiigLkuWywVVKd1veNpcWWtNWZbyuQogeGfgiFsZiJJm6q1AXC/M7sVCipfKApayqsSI2YvZdeUqcIrIRC0QrpQSCRto92etpfOtLEt6cUJRifSjMpoyX4C1Ms+NbruQdWj/ny9ytBVN8NPJDIdCWQtRzIde+SgmTfjTb/wZV3e3+dinP0M+mxJFCdomxFkPk2U4pVguc/K8AIQ9KVJfqzGyXqxej3+ba1rhE48b+T4+7C+PqZ+GwxiR/mihDUBiIMPGzlVMlFFVc+pw3UZplBOJH1dDXlTsfehlzg6PgrFiIoCtdkRWs5yWHBwd89Jnf4yH77xOefQQj2YymTIYDkSyFMG48qKg1+9J1xYOrQxJZHl4eMhoNMTECabTZ1EsiVHUkSYO8kiOlYmgMRalfGAhR61ESbMmGSPdRK4SSTHpylqRpZRSmDjGA66Q3FDWq1XnjwDMq70uaXS5g09ME/M3XTQudIKv4uTV1tAQHMOdl3m+BgRbbdEeolRoFA2Ab0JsX1U14/GUhwfHxInhcFnwc//l30MZy+HD+8xee5XF4QOW80cAZGlHlAi8J+1kuGLBwif80t//r9i6cg1lLd5XfOV3/x1vf/mP2RwNSa3GpBnxoMtwNKAI5JLlcslsMUdp2N7YYLQxRCmIbITRlroqqF0FBaRZl/0Hh5xMFxjl2Rz0GXV7LCYTkZnThsp5xo9OGE/voTp9nnnu4zzX6/Ll3/7X3H3jDs/cvMkLr3xYcDmB7+VpNJigenxv/Z/y+AGZw/J4fThR5T3icCtC8Mo5YmvxyyV1WRKjwMRgpD3a145ykaObQNR5fAnEhlpJa5iqCh6+d5dnbj9Pf7TJ9Hg/MKvNYwveClA9n2C0C90a4Lk+YNcKIK2u6PsBZNA8lKD/EkDI9USlmSScey/dAoiyMcvka6tyHqHrywfIvT13LUFmAgkwa++onOPB/Xs89+GP8Lmf/jzj4xPuv/sW1XJGZ9Cl9hX377zL9t4VvIe00wPvRWNY2xZgE+dS014XNGCw3KvmzjlX42qh6tdVRT6fM51MONrfp6wrBpsjhhtDOt0OidJcu31b9FyWOffvvMv46BFWeRKt0SYWMD8wZVpWQbg/NELpSLvvKnlUmCjCIWzhRjC+aWtuAYpLEs11AKV5juefdcOakc9f/aT5L/xEXdS3XR9IP/zH+j04P6YvZ4koQotgaC+uy5xH997jzttvUy5zcVL2niRJKOYLqqIADWmWhSp5RJwkJFnK1vaWFBfynKLIEZawBMvKI214VUVV1fR7fQ4O9imKgjwvWOZLevRFZH8tUH6sYnpJQtLOq3Wg2Pt2rq4HTBcDpGZ9qYPesPeNTm611n5mUQqWiwUnxyeknQ46tKQprXAosiylqiuiLKE/GmCsZTqesJgvmE9nRIllMBqRZRlpmuJwLMs8BHyO6XhK6TyDXo/+cEDS7XH11nPgS2yc0BttUM4X1N7R2xixub3F4f1Hon/qahaLBXVRsVjMidOU7qBPXpaMNrfo9nrEScJwY5PhaESURMRZxsbuXmD2SbJuooSNvWuUVcnZ4SOSTLQNO90+GM3+w0fMplNxwq0d77z1VgiINcYKABEnMVma4pwishFnp6dEccTB0QF1UdJox8ZJxpVndnn2Qy+yeeUKV24+Q7c/QoVClmZdjTU8q7bD4pJ22Atj/0mveRqPc/M2LONZt4OKU1xdk/YHXLtxncnZmMnRQTC2ScI+YNi9epWrt57l+OAhb3z3e2RpxtZwE5IEZSP277zLM6Meb/zpV/ij3/x1DsZjXnnlJWaHD/naH/4+H/7kp6iKgr0bN9BxBL7md/7tv+RP//D32d7Z47233uRTP/ojXL/9HDbpYKKYa7ef569ff4b+oMe3/+SP2Op16duIk7tvc//N1/nun/wRW9dv85FP/QgvfvzTPPvRT/Lwzlu8/eprHN+7gzsdk8bSImqNQZk4jB2FcxWLxYzpsmZw5QajjW2OHz1kPJugKUO7aYXGkyaxeBnEkWgzB7ZNo/svS0Wghvl1VomwJJr+gjhNKMpcRqKJiXsp6XCD68+9SKe/QZL2JOldLBgfPeTeG9+hPHhEhMNpcZtukghf17IzhgJVUTrm8wVRFBEnovvYMMYqp9DOobzDrrGqtVYoA9bYAHCvdzHJ5WhrqaumlXL1+QpHv5fR63ZwlaN24LQUyuqyIi8LimLG8XvvYNMO3Z0d8iJnfHbMyeEZB/cfYYCp8zyzfYN3v/c6V3ZH9PoZH791i7S/QUHE7jPPo9AotaJFfL/izcV9+2lh/TeA46VXtRaUNnuSCbGZX/vd+j4tcguy7ya9HlGc8uCtVzk6fISvS3yrva1aaaKNnW1e/Ogr7F29Rl0WpEahjWiEekR+wnuHaRO91TNpGWaRbefAOuO8YejLflu3f98UcHzozGv2WWvtGtDSsJSbiEu3rEdlDEaJR0lR5GhtSLsD5pMJSX/QajWvjhAr1174IngB170nthGqFsO9eg0Y8TShwfkCYvM8mnugG6KAXz3JddOciyDt+tNuwRitsWlKP07o9Pts7GyLFmxVUderDkOlfGjTj9A2wlhpFxc7FxlLTevw+nmuj5Pma+ecMC+DuZ/30iY9Pj1jPp3RGYwY7GyjbczjFs7n78O5n3GRLvHBj6cJXLrsaHM8BCRXCqbTKY2ubKcDeVGGDpVVLtIYv1lroW7IBgZjm4IgoTVaCnLaiLeMaNVG7Zi9yOhc/97L5hXGqrRR+1B8XywWaG1JI4vzU2pXMZ1OqZu0Zm1e6EhRlUXo2hXNToBOJ0izGIvVAl7HWRp06UNcVgsBIe5klM5R1hXP3r7F2XjMbDpnvljQSTPmc/GrKfMC76Q4uVwuKfKCIi9aYLgsS+rKYWJNFBl2draZTSfkwZzZ+WbNoe2409qy7vHTADOinaxwtaN2jqIssJFtWYxoz3A45OT4hDqYTld1JeSsdu2l1VYuyxzvHUkSYY1gFAqR3IoCwSNLUupachuUQluR3oyihM2dHSazGS9/5BWc1ugoYms0Io0Tvvblr2KMIel06Y+2uXI9pZfJ9dWVg+DHtFp/Hl+7Lv67PvcuFrsv7r8X18L11zwte6/WQRvXr+/AHq882Ehit9Mx1gu46pBxKGQDxbIy7N18lpMH9/H1Ejev0ZHB2AhCcSZJM6YHD0njCKqSvat73Llzl16vK3VOpUW2SWuKsqLbSTBWo3RCmiQyT6sKqz2JchSzKcM0JtGyH5jIANK5UBYlWlUoJTJ92hh0kItr4rvau9bclhAvggqFJMGf8sVCxjNqtbet5chKjATC319gCeu1/c6tCtAXjycxzFtcLswnpS52A6+PO8N0OqGqHde3N7AGPBbtPVduP8/2zlVe//KX2RoOMFaKV7WHgY2JE+muWUwn9LMBNo1DTq/QWHpJlyw2bG4PxXPM1ZB08UoRWU1de07PJkwXOWmasL29icehFSznC2IbB1mSGhzcf/CI/eMZn/3FX+bu699jw9bM5hOWRcVktmA8kfWvLmuStMOP/MTnuf2hD/Nb/+j/zeRwn8//yq9wuiiwUSLrTetl9h93rv0ge+8PxhxuFpDmewjmVE3RWaGM4erzz5MvZWFNUNgoJokM4+NjivmEuobS11SlVFFcWWGTmCRNcGWOKypODw/Z2Nnm7EgAmqbacplWzmUX3/zbbByrM16BQOpCENe87/qiuQ4aNZ+pL3nt5dU6wOvAQHTnMgSZOMKa0AEQlXNwaxNOAKIqtMAA+KrGFgWvf/0b+KLm5osfYmN7i/t332ZyfMj1W7eELVAUIp6OQlkj7OIopQnt2qtXSvC/UKdYu1lt+42rK1xRUM7nHO8/4vjgEO88mzubpN2MwWCI857OYIOsM6DIF9z57vco5zMSKzIfhMTHKRcq3KtqbHP/jTGiI72m91QUBd1+Kiy4NRfa5rzRDaNTnSsIeP84MLw+js+Pk3VQeCVNsfYXF8bI0wcsXbbpr//uPDAKcg9DMuIdZ6fHzCdjqvmC2WRCXlZiXFFVXLtxnaoqmY3HdDqdluFn44hutwt4jDWknZS0k7Rzw4eWFlc7qrIkXy6Jo5i6rjg+OWzBUofDKtok9GIwc5GF115Pc4HN12smC+vrw2o9OH+f1k0ZUAJCxnEsY7QQ40tjLMvFktlsxnQ2I+l2mM9ndHpdoiSmKiAOBhVKBZ1xa0hmM+bTGbPZgtl8QSfLZL4G08lGZ3GR52xtbbG1vUnc7ZEMh3ilmZwcE1+5xubODvl0Sulq+rs7uLLAVXUIJBR7u7vMZzOqsqLT6ZB1M/KyRIxPEtCaJE3RVpN0O+xcvY7Neji/Cjy9Upi0w+4zt0mShNODR2JkYyxeQ5xmjM9OKZaiCRe7iPFkQlmBdzkoT7fbwTvHcllQl475bEZv2JfgKi9I0oTBaMTN28/y0c99lsHmFiaKxZihBRDW12sZo+G79usPmnw+dfOXyxPy9npDQc8mGT/2+Z9jfnqI1oj0yXyJ63Za5/SycjgKjg/2yTpd3vz2t0nTmJ0rO4zHZ+hiLnqAruJkPqEoc6bTKZtbOzx8903q8REP8jl33nyNyf4B3b2r/J3/zf8WYzUP77zLZjdj2O1QnB3wu7/2z/nET/4Uz7z0Clf3roFS2Cjhr/7iX2f3yhW+/ju/Sacq6XU79PsRy8Wce3/+Dd751p/z/Cc/xc6t2zz73Ie49eJHKJYL7rz+PR7du8vZ0SEn42N0NQla9BWLoqSzfZWf/qWfZeeZ28ISKAt+61/9Gvt33iIKZlhxkuKilPFkTq/fJU0S6rK6sDZ6mr04S+J2XxTtw6p1hM7zAqfAxxk7z7zIYHuXyit6o6vEWUfYHjHE3SGdrR02r13nq//2X+Bmpzgsxlo0PhjsEszzwCnNyXjMYlkQRZZ4oel0e8RaWmCddxTLBdQ1veGAOI4DAFGCF9Z+HEdExggIHToRjLFYE3F6ckxZ1uw/esRoc8jO9hbOGFxVQ1mivBPpqTgJXhIRRBZX1dx5623KyRm6N2Rr9wpxmlEUS+azGWeLGc+9/CkO3ruHrhd0hxskWcJssaCyGZvX5b5470VOIIBz67FTM67h/Dy9aCr0tByXrTSrPUyEDco8J0iHtmVp79t6vRTTUTjvsFbRGW7QG20zOztlfHzKcjoL3XMNkzBCacPezeu8/LGPk2UJeNmzbACg5M1XcWAj3dYwjlzwUzCt+3njdl4LmzeOKfK83ZfLKoAsPnTkKR+0veVZxVGEtkZaRo3BK+nEkUJ/wzySwr9Tnqqqia0lso68dGxcu0Hvyi02d6/SLHjeOxbTM5aTKbGNqeoFNNGtchTTU6JGX1gF9nKcnDsveP/iRFCDOdei/fjrVJtQXwSL2zGtRF4j0pooSci8byXtmthVtW8VkvQLg6iJRdbPez1foYnj/AoYxvlwEYqqLJmMz9BakfW6DDa2UcacG6MXeQ+X7pQX5t8TCTqXvObi10/L0VxTU1jQqJAj1W1s18gUxmmKV4rFbMZiPm+7wepgrFQWJdYoAYjC+yh86ISUnKkxMTOhS8QGkIm1MdX82+ztDWnJB43T+Vz8f8qyIi+WpFmPrNPh6PiUsqyoHC1opBREocNLrGFW2uBxHLcAeBxFIi0RidlyI22SpOJ/MdjYpFKesiy5eftZFoslJ8cnKK1Ik5h8MaNaLjHA6XQihDLvpaOmlcVxFLmQJKIgyeCd5+TkEKVAG48P2qyNqWWbn+vGJK5qNZ9RmrysMFreByWEo7Iq5RpC4eTg4CBo9wpTObKWIi9akzrp9pWuWPmZtNynSURkDWVVYUyEDUA1CqIkQRkjXgkaOknEYCCt7bFVfPvP/pTj8Rn9wYDRxpDxwQOK5ZIoTtjq7nLtxnWyXg+Plw4lY4i1yFLIf43XQtPO/zgB4rIi0vqe2+yt6787l0utF9WesrnbYjFhfVUBN0h7Pcb375DPpcus0+uQdjO811S1FFXGp2OODo7omRxYUjhI+30ia+mkCc88c5MostTOQ+RJgL293bCPApUjNpar164ync6CRBCYKEV5x2DYZz6fSWFIWxZK9qpYSxGGKJKu+jAv8jynKJfEcdCuRjyx1uWFGmKTRwoINsuoS/HwwrkgTqip8TijEBaAZ5nnZJ0utimcBmDPtfNKoTDn1vZL90vZyFFKBeyOczJo3vs1trNCq8b8Mfz96o3o9Xp0skxk3zTUpef1f/8V0qyPQ5OkisFogDZSvJaucR1iS09eFCz9mC/89/+An/q5/4SrL7yCjmKyfh+0QatI8Bwr99EojSsrxqenzPMa7xUbmyOyLBE8qnTMF3PiyNJJYzSK09Mxk8ry83/373PlhRe5cfMG3/2D3+T4+IzZZM5yWRIZRZam2J4FV/HdL/0W7377K3ztS7/Lp37sx9m+sUd17wSbpCHWO68icH4sP3n+XVrM/T5/86TjB9YcXgHEF5/k6vfGWrJeTKfXBzSuKhkfPoJ8CU4mRtofoYIWZWQtZVFw9Ogh05Mjhv0hKjpjtL0NSlpXprMpm5vbjzEH2+pECKjWKxkNwONZtWeeXzhlUW2vq3nPC0Ava5+pQgAYIusQuK9ev2oPtcL+C49a8MfQAq0V5bLEGgdGt8Bsw0ry3geANIhxNxrGzlFUNVlviJ9NeXTnLZSGG89/iBu3nucgThhPZuxdvdK27AiTSNzfvYi7tZPQ+RX/rm3QC/ehuZa6rqmKnHI65ez4iOODQ8qioNvv0+/3SOMUjWLpPUnawddw/613KKdj4sigrbBMaDYVJfemrFZshoaFUVUVi/mcxXzBbDZjPp9TlCVd1LmWBxP0rlYaNisjlPXyxfsBoZx73eVjfTWmm09u3+Xc+Hqajoub/fqxSjRWr9N4fF3yve+9yu7mFstFzvhkzNHREZPplLwqee/+PT7+qU/y1ltv0e126XW79Ho9MUHLC7rdjE6nI4uvlfYR72rQEMURdVWjTdD/UmAjSxxHlGUubWxrra0Xg52VgeNq87l4nevGMheTlrao0xQc1oMjYyRAVSJ7AcK4ipKUqvLCvgoutw5EU3i5xESWJEvpdHssTE5ZO1RZknU6YV2AYrnk7PSMeDoNersVdZ5TlRKsxklCFCcMBkOyfo+41+PWSx9mY2ePyfEhy+UCm2aYJGXn2jVUHJF0Ut57+226/T6+LEVnVinSfkcqtdqglaKruihrxOXZGKI4pTscsnP1GlGSidkC5+8nSqGjlO3rtxhubHL04B5H+/vESRKc1zuUZcFyNqMsCnG3r2uqYBrqaoc1ljRVjIsx/VGf4dYWz9y+TZkXdAZ9Bpub7F2/QWdjC9GtVaLT2iAl5yqpj4NGlwXAl/3saTwktlXnClfn9qawgteAiiLKquDe228yOxuLNpfyYb81QedXoV3B3Ve/RWw1o0GffHqGqgpcKdqnJ4f7HJ6ckfaHeHPMyx/9GKcP7pIaTxIp+lubPHI5/b0tbBozPT7m5NEjNlOL1YgmYVXznX//NV748EdDUibnq6OEj3zur5Blff743/xzyvmUTtqh0+mSdTvkec7k3h0O3n6b9773Ghu7u7z0sU/w7Ec/yfMf+zTKO4rlnPfefYuzkxOUUuxdu8HOtZvSZeK9GMLYmOdf/DD3Xvsuw64hzVLQDupc2AVKWAPWRi3byHtPni9J04SiWLYmkIC0++oV+9E7j44scX+T6y+9QtztB2hqrbjipQ0Y74mTLslwk/H0FI1GKYtzdQsSV1WJcqKi3ev38H7KfLmkQFNWE0ZDTZxYqrJkOp3hqpq022kT5KIomS1zaqfoJJZeJ6bb68o917qNL8qyYDKd470niSXwVUmK0TEqialxVK5iejqhkybYJCYmwyhNEhmMd4wnp7x3eop2wsTCGLZG23z80z/Cb33hX4qOpVckUUqUZHRGWwy3r0AAo7zXTbjx2Px9UpAL5521f9iPxwkDa/NXIkNcWTCbTjANuAciebAma0JI9DyerNdnuHtD9IpPTzg7PaGqarSRMRTHDhXF3Hz+Q3zmJ36S5XxK5IvQASPvY4xqGauNtIOcoxfgGOnwqKu6bVl3LsS+SpLHsipWrOEWyb6EgRs+wxhZe2oUDotGhz/ROCdaxd45rJYuQvAUy0L07b1i++pNMU9TIVZ1FUf79zm9dxeLJ7EmnDuyVyglpAyv21WzkZgJ0fv58+TxROrc1zwBKKWBo1X7gstAmTa2CrGwkGnOj5WLf7N+Tu17rsVB5+IZv2Jy1ZXsu2WQ8RId84qz01PKuiZJM7rDIZ3eoL2qi7Hxf+wZ9hdNUn8Yjot7r4DwwgxM0pQ5DfCk6XQ6JJ0uR0eHJEkMzjEej4XlV1VoEwlD2HusacDf0DpuTVuEaMBYFYDic7FMOAdhympwHhOKCXVVhYqSrCGNgXddex7tH2KimChJmcxOqWtPHEtBSBjrkq+JfIJv2bhZmtLv98nznCiYOjZGknESEycxSZzS6XVweBaLBdevX2cxnzM+G2O0Jo4ixqen0iFTlTjnibRmuVhQ1TVWm9a4uqqEsSteHkYKptTEUYzRIs8h8lDybHTYU+pazLK9ogVNnRMTQI+icgIChyoOShkx21SyD+Z5jgoyOFEUoYBr165xcnIinVc2oarrYDZYEycZWkPlPEkcS4xjDBUQpVlrDClAu8ZXJcrHHB88JEkSJrMpGE0/idCuYDE+QRtLJ0sYbmxx7do1RsMheVVT5BUoK6BtWKPXc9DL9tCLYO56vnoRRF7/3cVcav3fp2UOt/hO2FfxPjTCCsPbofDakPb7TKZTnGqku5prdUxOThjt7fLg9W8RoUnSDqVaoAe9oJOvZI31degI8HT7PSHUVSXKKKLEstPrsuOhXIxRCMBfWUsUJ5RFQQV0sz5OaWaLGcNBV3JlYyRGcDU2jpjPK3Rnk2jnKouz+/TWCiJKB1kkvyL6KTyLyRgVMBNf1wI6s1rhvdKUtccnHQqvMGt41upeqvYv1t+/oRmeA4wRo8pF6VhUikQ74iRaFdbWXqt10+W/ws6kkOZRRmGsxhiF0oaiKsFqNrb36GyNePfVN+nYWDAtI2Bz0yGEkueyWCyJowRTV7z3zT/hzttvc/2Fl5hPT8k6khdbY4giK9KWi4L5ImeyrKiVmFsOB4M2bj48OiH3jm63S3/QB63IPdz+6MfZvX6Vh69+j29/8fdItMPqiE6cMMg6pFlEt9sRU+flgrSTYvs9/u7//r+hznMePXzIZ3/88/jQGdgA/Kt7v5qvT4p9n4R3Nf/+oPP2L2xIR+A3eCXqGGgDRhIlPMzncxazKVZrxsdHzKdTtFb0+gMqV1MvBQRcBK1JHKRxTBqnVAE8Wsym6DCvkzhttYrWb8bqRqkW5GkA1balytVtO3tkI+IobbULrbFoo4Pra1N1bwLzEITK3W1BYIlNneg+XRqkqWBg0Pyp3CvnwKNRScZouMPBe/fIIi2GIEoqyvJeIAwQ0apydY3yoslU5gWjnSts3bzBwaNHzE5OefDO21x77jbbV69z8PA+xaKm2x2QlzOpiBgj7QVKmMi+AVyae4hChNXWBhOayEZQ5ZRFzmx8yuTkWCqfowGDwZAkzULLjSNWisGoz923X2N2dEAcWdFICxVzVHCPrB21K8+B+Ep5qqpgcjrh9PiUyXhB6Sym12en36c/HBEnsggkcUKUpmQDYVBirJh5ifdvMzLOJfrnRm2bpDVj+PxzWv/56m8kkT0PNK0236fpaEHfC0GDCgmX6NzmdLJU7oKrGZ+dcHhyzIdeehmnXuXo5ISj42OMMQwHQ5x3vP36G2xsbXHv7l2Oj45IkoThcMjW9jZV2WexWIi7trVBB0qS0KoswcNiPqPMC8bTMePxKb1ej16/R5ZlLWP8SVVKfWFN4Nzmo9sNcz2QWq+Ye+/RaqUX3r7WC5uhqiqKoqSqaoqqavWIy1pMPECxXBaiyaRET66uJVkfbvYRrX5PsVwQJ0FDMIqo8GS9LnVds1wsQhBfYU1MnGakWZek2yXupNx49jk2trZ4641XeXT3HZ659Qw2TvHakA36XM1Sjg8P2drZpcjz4JRsKMqSTtZpR3Sjf6aD5EOv3yPr9Ig7GdhEdOV9k+hcnAcGryxRb4OdmwlEMaeHh5g4pchzbFmIFmZZtknLfDoTHbmq4sq1q0znC/obG1y5ep3tq9e4cusmGmm51dbilAZlaJckpVg/jQZQYe381ufgxUT6ST97Go+muHbu++Zr+QFaeSLjuf/OW8yOj0Wnr5PR6/VIkpS6Eg0+GwkjBjwbm1sYpVguF5K4Oc2j/QP2j07Z2LvC/YcHAtxvb/DW/TfZGI7o9ft4V1M6z4c/+lGUgqP9fVRdY3WCr0XfL+mmFNMZv/5P/wm//Hf+Pr3RCKdAYVHKcfsjH6O3ucEffuFXmZ8ek1UlJk7Jkg5p2mHQj6gWY777x3/Ot778+7z8mb/ERz/zl+gMRtjugNsvf2z1XL2Mj0cP7vDqn3+DNEl55vmXefbDr5B2Yr70b/4FPi/IYk+caJT1aFUjLbirNV7YSHHQc4uA82u9Y1UYVCiMN8TW8uDdtxlPxmRxgsfQ7Y945oUPCeOnqvjNf/lrVLMxvW6Ksh3GJ4dMQnv3Cy99iNnxPr4WrThfFiRGYQddkshwerZgOp0KeBYbvHPsHxyys7GFq1eFLRvHnB2P6e9eZTqfogMrX2sdWnEjnHPs7Oyg9Qm+rjkbj1F6iM8L5rOczZu3+PiP/xXu3XnAt7/6JU7Gp9y4tk2Z59g0JY4jqqqkqnKsTcgSaeNNkozDwyP+7Ct/yE//4l/nn/3D/wdvvvkuP/PLv4zTho0rz+B13BbMmz3niWOdx9egVQHzKUlQL36/XoAMEGWxGONcdU4LuzGJWU/8tdZkgwHDvWdQUQIK0m5PXJKt+DJ0uj2u3/4Yz778Ea7deh7vHdViJmu6asa3MHaNCTIm6Db2VNq3r8FLId6z0uBs1iAV1mXFyt1+tcauYNR1VprcD03a60GUYq0UbRfzOW5RoLy0k0tXqyGxhrPZhCi17N1+XoDhtTt3evCQs/t3iI10N2mkrdZYAVBqJzrBZVWitMHYNRLB2v5/EURZf0aXFSya602SRM7Ge9QlYeDFpA5We9mTCplP+uz1110W1zY/b01s86LV9Hd46rJkfHrGdDIjilNGW9v0RltEcXrpOa/Om/ZZvh9b7OI5Xvb6p3EPXn8m62tPC/RDIBAIQLmcTKhrz/zRvkjyVRILWWup8zJIE4jOpzWqnQPynjr4NNhzP7dGt4ZzEl9K2u69kBKog478+pAImvkNe9Y5R1GUlFXF6WRGUdTcuHGDsqp59PARWfBxUYgkgglgSxyLjvDZ2Rne13Q6aZBNQ2TVtEZbQ5JmJEmKjVOmywU3bt6mk8TcffddtFIkWrOcTanzXLSCXc10MsF7KQrliyWl1hRFIazn2jWaAJSFSEhoLV0Gxlpwq71ZzBmtxDpRTImM+2VZCsgNAi4VRYAEZT2rA5AkHRMyr5s53ZBOImOZTqd0u115xkoKUCZ0+3o0JoqpXc1kUYiMWpxKlwTgqlpYz6FgY7SQSIzWaIX8TiuRDzAGbRM6vT7bu3vsXLlGpz+kqMS0WeTANKqtKPnH8s+LQO76/rGe26zHzs3a90GLs0/NHPYBEzg3LySfX0wnnB3sC8M0iugNh8SRJbKGqhKymtWKe2+/zmJ2xvb2Dt00wypDFMehxUtME31ditxg7aRJwwtzH+9x2uNdhUJkMnXoyvHUKO1J0w5lUbKzs81r33sTby1uueDKlW0hDgYCX1GVOKXI0oSz8Sn7J6eMzJLelat4bwPBzqxIJN4HPWFPZAzKWqqQE66AXinoGu/QylPkU0yS4p1t9/gnxVnrxVWPP/d6kUaT2eGrCmedAPIBcGeNeOS9W4sHGwZ8kEfD0zQ4GeXJkpRkYxef9Tl5+JCqnGM6neBno4UE4yvyfEGel0zmS6o4otvp4nwBbokfP+LVrzygqiv6vZ6YFpYlZ9OCvCypnaf2YLOExfERifacnJ6ysbFBvixZLguUUqRJRK+XUcxm7A5HlIf3+Z1//A9w4zGpBdKIfpahuwmRjSQ+CLH9aLRBVRZsDbf499/8DicP7/Njv/DXGOxdkThNv//++qT59x97Xv7A4PDqoa6DNTqIxIdNE0iqitnpMftHB9S1o9/rBb2xAl+WuLLAUpFlEbEVYAa/WrD6ow1mkym+qjH+/Ca9vtA15+S9VB7K0J6eF6JjmhcFVVGhvLTHlZQsTY6xYsgRx7GI3FuNNusTQkmA3iSEYZI2buZNZfJioKaVDgvECuV351o9FMvZjE5/xHBnl/H+Q7IkEqATCcrX37O5LpxnuVjgq5qj/XukvYyXPvJRDo8OWc5nHLx7h+HeDpubG8zOJvgsJrKx6BIFxgl+LVDjQlWBAJI25420wJk4RpkIlCJJU6LYkvW6xGmC0fJzrQypURzdf5f5eEISr5yU2+flVsGr/NvcMU9Z1szncw6OT/A25mM/+ZPcfvEldGSwkUEDVVFweO8e05Mjso4wpUycgrbSJrg2NppR+Tj4ebG6cnkl9HGmT2MuKOfr/flA/Wk4gvqLuJ8/4TVizujI0tDa4J2w2fKcre1t3n7nbfKq5PD4GGU0u1eusLmxIfO6KrFJBHXNbDbj+PiYyWTMeDxmNBzQ6/UYdPukSYKNNHFsca5qDS4Xc2HdHh4eYq3h6rUrjEYjkTwIYwlCYsRK2qX5mZz/RTBTnp+wEM6/3jsxaRMNr7p18m4LQMi8rUoxVHMelkVJXdW4WiIMuacKtCaKI7KsQ5Z1sMaGDUGTdLrsWMs4ipienZAvxdk0yRJGdkSxLIisZbnMqao6sJANSdbh+u1nGW1vYyJDXda8/eprnO4/4NbNG+xeuw4mCsJaUjTbuXqFMs9DQUxA8nyxFABLBe1yo0k6GUmSSNHImPCZwQwoAAhcWlTx1E4CbZ122bt5m+HWJtPTMbPTM+bTKUW1aDXBvXOkqSQdZVWyd+0KH9rcQWtxdY67PbL+RtAcXwN9Q2GtCTLWNV4vgqMXE+rLEvyL4+FpPBTt9tgejwUKCjyG+aLk0YNHRMawtXeF3mCAryrKouT07DQkRhVRFDPc3ELjAntdWIInR/ucnh6z98KLPHj3HmeTKX/jb/8tXvvaF0kSS5SIGQOlSMjvXH0G7T15vsAaRVHXmGIBvYw47TBAMz57xL/5p/8dv/x3/9ckWQ9tFKLJr9i5dou/9rf+a/7gX/4q4/tvkdQ5dRFR53PiJEUrzc5owGw+47Uv/QHf+dpXuPbCK/zoT/8sg9EIH1rEXVXw9S/+Id/8498hVTVKw2tf/SOGV2/zYz/3i/z03/pf8Yf/+p8zOTtiqDVGOWocDoNSrt2zGkaUaxzqrcJr8MqvtNuUQtc1zkPta+ZHj5ifHHB6fIqvKpZlzeYzz3Hj+RdAaaIo5ic+/7P88W/+Ou+9+zaJtRw+2CfWnqvXrrNz8zb5YgF+jMejfUxVVURW0+920URM5zPyqiYZDIi6fdJS2kiN1mJYpzw2jkg0xJFmUi5QcRdtLVWRc3o8xVjY2hhibcTGqI9WjvmypKgh6vRwhaK/9wwbe8+xdfVFtnZ3+cNf+x8olgXDwYDZdEK/32exLHC1I4pFg3Fjd4et3T12byz41re+w5vDAb/0t/8rvvNn38DplJ2bt7A6YU1LghZduTjWL9mrL1vbn4rjfQA+kASqmM+EYOFXeWxb0FQKvLDOo6zHcPcGNs7CXPdkgwGvfPYvs7H9Bv2NLW7cfoHh9jbaxDinWJwdYDUUlcdYcW2XONAgRpEK5euWtbNehBVQJZx/yNI0mkaS0DkPvpYEVoUOOaUC2CzJsFKqbSF1Qb9/OR7j1LTVO/RA2h0wPc2F/OGkk8jVjihJ2HvuBbavXm/PDzxeiaZqZEW+otHiNoGxv25647wXg6hLAOAGGH6/8bVeaBYrbI/Vhlb2oQEK1fuMSx0IKJf+PqDsTVwZYpxzQM450HXFPFl/na8qnKupa0dZFPJ75yhyaeufnI0xxgqxI+vS39gBTGuM3mD67Sc94Vo+6B761M7ZJxznALcA1CqtJa+sVsa7jYZ7k281c8t5h3dQ1RKDp0naPr+iLMmSpJUragCUBuy3oTMEJQWGvCxJkgQfui4bk0DlRGebkGtVZZBWKCvKqgak1XtZ5Lx79y472zt86lOf4t1336WuC7IsDhJFviVmAPR6PcqyFHJHHKMji4kt1sZ0uj06nS7GRownY/auXsVXFQ+OjvC1J44t47NT5rNpGLBCQKkqMbzL8yXee+bzeQt2NjIOWoGyFq3FfNyG2EXY/y7o7gpj2BjDYrEgjmMBwrRmkefi1VM7bBRTBlZx5cQcsyFRNIXeRr7De0+aptRVzXAwCIVVC15JPLK3S14UjGczsJbRaEh/MGB7dxdXVZRFjq9qJicnlPmSMl9gjQna7YreYEAcRxQobBIRxTG90QYbezfoDzdIOj0wlhxNWdfUymBNhNVRmH9+NRbXxubFAsb675qv2wKFX3U7NxIi5wgzaznX+ns+NfNYrTTxz/3YO2ZnJyzOjoi12FpHUYQOBQKlNUYbfLmkPFky6nUZdLvYJA37lUf7prtbJL6q4NFwenJKrLUYehNMopUS6TCAyMh2riAJbHv6jk4n5SOvvMCj4xNOThRn0wm7nW3qWorGcZqIbngcsdGPiedLIpNSlBWxWcnN2HYsE/ydVEjrlLxOqXaNV4FM55VFaUeqJBaowvLVPP8nFSDO76Wr7aL2HrTHWhhkRli9geXZFKZljAFoyTvCPA6fQFN8bj5HWSlUOmo6Wcy9t19juZyTZJmsA0qBVkxLx8m8Bm+JBzukeObHJ1iXU/e6RAkMIsekyDleLkiTlOMD8b0BkXsyFmKr2eh2ODk9piwqyqIijlNGgz7WKLJuSlUuJH+o5qhqRoZBDQZMFguMs2yMspBrOVzp2H9wyMxVvPzpT3Ble4vZZMrGcMArH/koL3/6R/CRxTxB+/8i7qnWirbvd/yHFGR/IHB4NSguJtqBjaAtCgnKkjTDbm4zGG1QFkXb3hTVFbmat++ptaMK4FtViu6IQhF3OpRnZ1DXoEWq4iLot75ZV1VFkecsZnPyPG+BSIVM/MjG7Wu9E4OVqigplzlFFJFkMXEarfTVPOcWR+ddW018bLFZq8I5L+0jzSHBHuCgxolYPY7De3e48cJLlPmSajZGKdEzWq/uNdq7zXkvFguMMXS05uzRQ3COKzdvUS5z6mLJ4uyYOOuQpQblSjAx2oiWjfONssXaLF4/x+Zn7e8CCBfF9Da2iJKMpHMArkSbRudXNiytNYvlnDSKiPt9KicVtfVFpAHI5VoEYBWmZMlkMuPsdELc6fMTP/8LJN0uJ4cnzMZjqjKnzJfymVrT7fWxSYKN5T9lo1AxW19MHm+fOT9+w6LZXvL3D2KfBAY/LRtl62Ptm38eB8RB5p5SomvpvaP2jtPTMZtbW1zdvcK3/+TrWKNJk5SN0QgbWZIkQqkY5yquXt2jKAr6/S6npyfkyyUHj+YcHxi6nR6dTodeJ5G/IbRjJTGnZydMJhM6nQ57V66xt7fHcGMDG6dtIN4UNGRdfFx/uNXNWl0U3ntp7QpsjUZHu1jmFHlBXhTgFWVVtMmdUkqY+rVoxKHFILEq69a8pygKqD1GW4z1dDtdoiTFaCsbNGDiBGUtVlk2dhKy7pAyXzCbTlguFygnDEatDbHXpJnFpCkbu7t0h31sbNnfv8/+3XuQl1hj2bt+lc0ru5i4D4jTvUD4HmVjrI2x3qNCotkbyTVpVmwTpRReC/hdh8S0cVZepZznx/YqCPWoxg5OW9L+Bt3eiHqnYj6bMJ6dMJ9OqYucqihwHU9spA3fZl22rz+DjTN5ByOAtSTFgcGlzp1BkGpfO48L4/qJle1Lfn5ZEeipOVQj/LNWiLzI/geUV/SGG4y2ttgaDonimKqumM8XTMbjlSmq0WxtbwGKIpcW5MhaTo6POTobc/WFj+CA9+69x1//z/4Gd773Ler5hE43bcGLIi+IOx2Rj1JK2uiUGPKgFcliQX+YYTsZ2tQcHT3gN3/1n/Az//l/SXcwFAaPkj0zGWzwU3/zb/HH/+YLPHjjO9hqiS1LynxB0kkxJqLX7ZMmNYtFzsPv/hn/8s1X+fDnfpQPf+LTTCcTvv2NP+Hud77Jdq9HZAXwdbVn+vAOX/iH/y2f/Ks/yy/853+Pr/zub3P4zncZ9VJMFCH8yapNMJXWoJuOG41zUlyR4powfGTSGJQT5rH3ws7rZJa6MFRG88pnf1QKpAAeOpsb/Mx/8V/wpd/9bShyZpNTdjYGxFkHV1YUyyV1WVF68EVBN0uoa2Fp9TZ6pL2M+XTOfDJmfHpMN+lQLHMm4zM2Y0MUZ9S1tBTr2pMEI0sVQAyARV6yzAs6UYSOYja3dkgXc4oiZ76Y0BuOeOVTn6QOAXdZFehgjCvtyAllnjPaGIEWQ86qFidurUQK49Of/iRf/vqfMj46JYkSNnZ2Mdq24NO5AcvjAezjxb7VHz51BZ7vc67e1RTLvJU1avc0tbY+KZEG62/uEKcdGU/NPmhiXvjIp3j+wx9vx1rTgWK0Jo4TyiSlLIVB3sSUro3PDLWrwh1ugHsVYtkm5mlPA1msdSiiimeIDy7jKsTH8trzwEQzt7QxxKp5X9VqpS5nY6JABPAVoTjtGe3ssb13VWLxZiLJjZP4zxgM1blkaV0/03tPFMftundx/Fz8/jIG3TprWiktsZRcMB94JIZOxKYA3d4bv3aD/Uqz1rPqcmpiDufcYwUVHYBjkcJb7dPi5SCyTidBAkwpxWh7i06vT9Yb0OkOCTQQGkbdOkAcnuAHvcL/WR4XSUhtx2PowKy9I+lm1Hjqsgimc7HISXiPc9IVlhcFZSgmSjwmzDgxdZeCig4FGBe6d9TaetAUWFChaGIM3V6P0+NjkYgKMWuTZzX5bzPfVchNay9xsA5su5PTE+bzGcPhkFG3j3Mi95ekCdaaVhO5qiuyLAu5pMNEFoylv7FBvz+gco7JdMru3hV2dne4c+cOZZBIOz07FdkLI/KRssRolsuChpVkjG47cXUAkqzRaCXsZaV8203RdECYoHvuvOSUVVVhI0teSrdfVde4usbalKpyItnESm5CATYWDeWiKDBWGNuNEXxVlUHnWfSUxfAPauWYTM74yCc+Tl07hhsbOK05Oz1lNplQVhX3779HbAyR1qTGEgX5lihN2dzYoNft8vDhQ7rDTYZbmww2NhlsbRN1RlQeKhTOK/K8xEQ2dD00XZ+rDldj9GNjtBm3F7+/yBiuQmd1E+dc3FfP+bFcyLWeiqPJ/dZBTKDGsLl3hcHmFvXsDGMdCtHpd146AKqiYj6dY40n2tpBxwk+yDYYpVnOJuRFSZSkoAy+9kzPxuzff8je7rb4NFgN2JDf1DTSbl41uJJmtDmgLKVLN0tjtkcDhtt7mOUpSom0k5y76O/iQXlPv7eSM2z36dpRBVBfad3q/Gotsgto3e7xjVBaQ7YSkpM9F3c0z72R/bxsHLS65IHEU5Qli+WC/qCHCnIQrtlCFJLHu2YMeaQb1SGF1nAmaoXhyN4bvLmUp5qeMs4X9NOUTMcsixlxLJJwy0XJbDojNZKDa1VhcYw2e9R1ShJHQvJUEUk3Agzjg0NmsyXdNBaT3ySh3+9itSJf5MRpLKahVtbrjY0+ri4RRnZE3EmoPRRFybKqWJ6cks+XFHXN+HhM1snQVjM9G1OZHp/+/C9w+5WXiaOY05NjPvRju5goDtf//l3oTyLBrT+vBrO8WCD6ixw/MDj8pAXCh6YUbSzKebwyoCx4BzYnIriPLhfE3R7jkyNqD1WeU9WN2ZwPlS1x8zRKiRmSFemHc2Z0CrwTI5eyLEUvZDanKApcCESzNA0tIxqvRMzdqAiDwlUVRZFTViVlVVDVBUURkaSJBJNrN1n+pQ3ilFctUOzXAobmvORuNBXjtfvlvYCmvsa4mntvv8n1Z5/j3ttv44ol2jloGcSyEDW6U/PFksV8QdbpkEYpg06PWHmmB/t0NkZEaQ9dO6wV/RSlNMpGYugULqBpUVhdz9rm0T5IiRJdCA89GmU1cW/IyEaUyxkQkkVtwHvyxUwWHBtjlME4acH3Lug3N4ExDfDtKPKK5XLBZDphOpnhURjV5de/8K9YLuYMsw7L8Rn9QZ+tvS26vS5R2sHohChJ0CaS8abtOWD44nhdLWh67TWX6OLB9934mmrWKll6egJnT4n2NW5N5O5iEgS+Lfw0m0jjGNzpDdqFvShKet0eaSrOqyKyr9E6adn7URQxGPSpqpJiscQ7x2w2Zzw5ZTLxZKk4kWtl8N4RRZZre1fY2N1me2eHza0t4jRdgSus1p/1deCygKbRSGzGsnQlyNwr8pyzk1OK2YK6duRFKYE0YhRnWoOHMFeV6HQ6L63hRZ4zGU+YzabkixyUYjga0Rv0SdM0SNRAtz8kTrvUCHNfRZbOKAFfkY1GlMsleb7ElSXz2YwMRZZ1cFqR5wvufftd6qokjiOuXtnBmog47ZINh0RRBMG4QC7ThAkcqvpKQMSLTNPmnoW7SVPBvYxhcPkYOr8HKGQsOa1QaUwnTUlHPVwt7ZTLxZzlfElZlNRVRXdjiIoT3BqLqk1O144nBbjrz/yyDfLiuLjIcngSCPXDfpwb5+r8z9uvaRJ6Rac34OZzz+GWS8o8Z//hI6qQBNS16Ntu7+6ilKfIBZCMo5jjw0OODo/pXbmBThL+8Dd+k8/9xE9QzM+YPrxDr9OVyroxJEnMZDJlsHsVE0coFPPZjDgSndL5MmfoHHEcAw7vl4y6CWcP3+ZX/5//Lb/89/5rRptbbUun1oa0M+Jn/tO/zdnpAd/6+ld599Xvsb//kM2yYHtrE2UUsdZYm9DpRCyXOa99+Xf43ld+D600vW7G87dvEUcJRbmkyufgRQcuXeZ8+3d+gwdvvM5Ln/kMPoL9177HRgpa3C7bQNgYIyauNOBQ8A/woEzEtZc/xuGjh8xPDlFljvLCiFTKi3Z6XWLjHp3BMPy8gVk8xkT8lZ/5eV7/9jd59zvfIB30cCbi8OEBVZFLJ0F/xNHxGQZI0ghchXMVcWRItzfolT3y+YyzkzOc0owrmD84IrYRnpq5c2xEEWlkieII5ysUYuxbec10saS3MQpsCc9oJMl9dHrK4eEBX/53/5bBaIvR9hU8JXG3T6AIY+KEJMvIlwuMMiij0LEhSSKKfEmcZQx3tvjcj3yWL/y73+G/+T/9n0l7A2GTrs3rx/eeS0f+OWDyqUtOkXW4JTF435ocNdeyDuAALasL1mJPE9MbbpAONkEJd1UWeYm5vQalIwhgkw36m9PpmE6SQWipHgxt+5ko2d+qupL3Ujr4QtAWR3xoZW/Ywy2AzIWExJhWH/kiw6xZu8qqwnuwJsJrH0yaV9doqkpiaa3FKEZrKleztbUtrdzNJYfCdlVXAvYocSmHVbGsacFvWqbfT/rrScSAy/bERmIjbLXy+wtFi8vG8mq/9GsA8HkQzzkx5nXB56OJk+W+K3AyhxuzQJr7qw02EsPbqhQH+7qqqIqc6XjCdDxhNpmgrGVje4us20Unlv72biDCfL8YdhUTfuBDndukHn/HS+K2H+ZDwGBPw+yWZxniUq3odDvYJGI5F83gNt70juVySe2lA0BpDXWNd5XINrgafB0kEkQKpSpL0lSkPlpde08r09XIpEXGMD8bSx7altK5ECtDFNmg963PrTdlWWBtJGuR9swXU2onxrC9fh+PJ40Tup0Mow1FVWNsglOaKI6xscXEEb3BkGVZMJlMsdrS7Q94+OiAk9Mzep0uRVFQVo66LCmKEqMN09lUQDpPmy9UQa5NqRqjNHFkAWEOR0FiAy2a+nEUU1UFGMVimVN7L51wkWE2n0vxxYBRIimhm/njnJjP1rWA5XVNZC3aKPqDXpu/aw1VWZEkMUopprMJSZIIaS2OiDsxnW6Ht999k26nwztvvc5sMkUhhflP/+UfZf/gAdpoYhujlCXOenSHQ17+0Ivce+8u+8dHmDRlc2uHnes3SPoDnLYsKi/6/WH9iiIxpybgDyI/+Xix4kmAEaz2lGY8Nfrv60DxucLH2rEOCj6JIPXDfFws/Mm66VHGsnftJofvvgWqRCHGkqVTJHHMbD7H9Hr0Yhnv2gjWoZWiLAqOj46pnGNjK8JrxXw6Y//+AwwaHSWgFZWy5EVJJxFjYB8IhhAMJIEoNtKZ7UHjSGJLpGpst7PyWQrFPyE5yR6v1Moorn22WqMxgACqzXOVNUNDYzB/ybNsn29bFVTnCtYNueris18vuurQRZGmKVYZfNBVx/u1dUnjlGvXIqU8Rsmu2tyfhszg/RrY4gV7sMqhigV1LvMtiixVvcS5iDhJ2N7YQCuwUSTbkGqKrTHeiY8XxhKh0Ms52eaAzUG3XTu9c6BBRZpO1COqayKlpGjmKnyFmFp6KYZN5wWzxZK8rPCupq48va1d+sMR+/fucW//HpGCvedf4HM/+TNcuXaDf/WP/jH9LOblT3yCjY0tmmLX+l78g8S651+7Kuv+hx4/EDh8flN3bQzQMDF9W3KWjckGMzlrY/COssqJopjpdIxXmqTTIc9LiqomiaOWtWPihDhOqcsCG8ThzYUAz9Wu3ViKPBfGTVmCgihNiKOIOIplIjiPIww8LeeiDZhIUxYFRVGRL3OqsqIqa7oDDVYWZaWEJSEu0rK4eBwutEeuTEPasFHYPgGkgcCOck4MOLyn9jL4dbHg6MF9rt5+lvfeeAOPaC35wMLQWs4P56D2+EYjyVpsA2JHFlcUaJWiA5PWKYOxkehAN4DR+gSFVRSx/rPwY3fu5ytWgQ1tUFoprFGy4YeWIBMAZRNZylKqm1VdSoCrxCShDpVc7xzFcsnR/gGz+Yw8LxiPT6nrt7Fxh/5og2hoGd68TpykJFlKmqQSHFkjhg7KggrSFefCIrmK88F9SKJajL7Rt1kfv5eP9/f7/mk6Tr1nqKR1Y6UzeD6oqOu14oGGKpgRdjoZe3tXeOeNN0nThDiO8EiCGQXmsDG6rUDXtSOOLf1+R8bwUlyHq7piOp1IoIu0wEj1P6Lb6zAcDultDOkO+q0LMmqNTXqhotkc69+r1aIk87Ou8ZXDVdLKdnh4yGI+Z3o6ZjqZigxNUaKMJo6j1eZmDEkiQbqrHWVZs5jPKauS2XwuyZz3wWF4g26vKyYVOLSNyHp9lGmKM1KgqlWNJiHKYuK0SxePLys28SFZdCzyJTYveLb/PJExIqsRpSht5b20xovtGBDcqdGsdIqaAEiHeHJl2Cnglm4T1YtA+/sl0Ze2FimZUw4fzBAMihRjHDbJSLp9hoj+Vl0L20QFln/DdLn4/pcBu5c+3wvHRVDi/cbGelD8NBxPysvPXRtriaGJGIy2efDma9y/9x5KQRwlbTvm3tUraK0EGK5KbBwzG485PjlGdYc8++Ir/Pqv/X+5eesWV7a3ePs7X6fXyUKxRvTrvXOURcnu3lWRX8Dx8N13JHHDoVzdJmxlXmIwWGvodDxlueAL/+S/52/8vb9Pb7QJSmG8R3mFi2L6O9f5sV/4FT7z4z/Fr/7D/xddlihlUaoKAKsWzew4okePqvZoFN1el/7WBnXpcNpR5DPqqkIZkX3pRp7Jgzf43X/2Gru3XmDn2Rc5eu8Ofn5GJ06wNkLFVoJIF2FtkI/QlhAAoLVhsH2F/s418skpb3/7G1SzE1kPvTDFrIXJbMyf/+nX+PAnP0eWdnntm1/n7W//KWnWFeO2nS16gyGL+ZyeTanzJRWATTh4+JDdGzeYPLxPJ4sxcUpdlThX4xXEsaWXbZFElgeHx6QbW3Q7XQHCteL29esc7x+g0oRsawttI5aTCerRGUkaM5udCTgQGXwpRdooTjFKo33F0VuvcgK8WlXkVUWv1+E0twwGfbJOB6Vg/9G+xEB1yWBzQJkXpFkPlXQwWZ8r/W3+d/+H/yP97V0pZK2qFx8IaBL3asXp6Smbm5vteL84/p+awwuoZ010bj7XVREKGCKNEsUxtZOOFZHtiEkHm3T7A5QWMG8lsbNa85tyflPA09pijLCOHJ7p9IzN7S2sNaKv7TxeryVu4V+RGhZWpDJ6BeCqlVaqslZUJoqlKHg6j/YERlRgQjbAMB60J2m/l3hQeY/XYkTntRgEee/BuRBzw8aV64y2dtsCsfceV+YcHTykmE0wyPuotc9rijvrDJrL9oPvt9+t/8052Ylz4sKhzZ9V8aJ5Gk0xGgTsdd6JDAdiblsXRdvO7UNcXAe2b77MxcDSBSDfE8gxKpgKeqIoJh0MGezuspzN0K5iMV9grWUyHlPOl5yenEpRMIrY3NyiPxxh44Th1i79kXSNXHa9igb09u2m8ljMFcbMJTcO7yUh1wGAWn/tk9hPP/RHeM5tjEFTGNHs7u1x+N6Qs8N9MVNCjNyWy0UrURAnMVW9BFhJR3hPp5NhdAPiqtDlKoBtA+CJQdxKwkQrFcZSeI0+HwM0AHBjvkg41zRLKepl641R1VJwiOO0NTRtQKEkTeh0MpTWdHpd+jYS+SUjMXKUxoEluKSsKvr9PpGNmU5nHOzv0+/2qKqK+XzGYrkUuQugKAuiOGY6nQYd5OKcEZXROhQ0Zf1PO9maVqrGxsLSc7WsMy4Up4qixEYR3W6P2tVMJ9NgbOVCsagBWk2YPxElnFsrsiyjqkq0VnSyDlWQConjmF6QxcRo2fesgPtHp2e4sqLT61EVJZPZnLPxhB//yZ/izr33SLVle3Ob7mCDzqDP2dkpZ8slg60dtjY3GIw2sVmH0iuKsgY0Rpl2DVVKZCzaePux3Pb80cyvBtRtSWxrsXED6DXHeqfFZUXbJxEyftiPSwt1hCKdNjhEhzeKFL5WFEWFiiy1c+RlyfbNm5RH+8RJLNIMNeA9ZV4wmU7Iul0pyuUFRweHTKdTdq5eAWvIi4LDyYReN8UajY1itGrkVxugWmO0IvKWunL4uiJNY6grMWxd259sAwBKe4A8R5CuNx+kR4Nfiwld1ko3+T6t7w2BSLdeuJUhswYSh7VlFUsIBtZsdOvj7+J4iaMosHa1SLGFPR1/foxJ8deRxfFa4WJtf1nD1bz3aAxei6eACvuoCu8rjFuPUjVx0vgTybVWzR6LF1wO0F7MO00k5EeNgL94h44Mta9xZR1Y5BbnymCUa5jnntPJjLIs0dqQ9LbY3M6wWUo3GJHeuP0cs5l01y2XCzH7TBOKZcF73/1zzOSA2WnFwbDHaGOb7WeeO3ft73e03Y2XgMdPApj/ovP2B9Yc/iDsK98EmgqUMQLQVgVawWIpbDmNp8xzXFWiQZyajUbbiLTTk2SoLtBBvxZW7QGtjERRUOaFGOkEjU0URNaSpKkYfHjASAu1CwPJe/DKgvZobdBWWjrLvKD2HjVTdLsdlI4C+BKCJXU5eNEsuC4APA0jTkC48/rIrTSFUnhvmI/H1M5z5cZN9u/dBUkRwfug0Szf1070xExkMWkEVuO0JjIWa2KMiTAmQmsr4GkAYb7fM/zgLB4BuaM4Fl2afIGrKnBV+zuvVMvasNZKwFvWbascTsDvxWzO4f4hZ6dnLBYLvPdkSU/kCrIuH/7M53jh4x9HJxG+dsxPT5ifHksSYGO0kWTdtK7TtMHn4xVUWAeLP8j9aN6nZfyssSsv/t3TkqD+2aMxNzZ2MGtFjIvHuoa2d4EpYyxFnpMvF8LeThLiOCZNEowR1rAAxNKSIWO2JklinBfdr6osKfOSqi5JMmm3M1o2vzhOSNOETldMs6I0kaT0QgK3Pucujtf1RXB9ftaNGUddU+QFJ8fHnJ2ecbh/wOnpKWmakaYpmY2DW2lOWZTMpzPmywX9Xh+tNPkib2eSsuIcXXvHYGOTbr9Ht9clThK0NfT6A67euEF3tAnaYADfoqAKMOG9HOBRQS5HsAFHN8nWrlX+yjUGbeKvK2DzhWLIeklnnYvr2tKJbgHi9bP5Dwn4hG/t2/VRhXW1MRkQ30uN1x4dyA/KhwBp7fSdejrm0P+/jmaJUSE5aI7HTSVDEIfGKcudO3fpdbugIF/M6XQ7bG9vo5SnXC6pq4rIRswWcw4PD1jUnk99+nN85ff+gDRO+fDHPsy9179DL47R1mKiCI+su0We451n5+oN8J759Iz7b79BP46oylwMV4wmTmNcXVKXEhDGxhLbmGp2xu//xr/ml/7m35FWVaVQWoAhEwCjpNfjL//05/njf/WrdDubItfiK+ncCQCSNpbUWIbbuzgUi+WcYj5nOZ1SVVI8pq4xSkLISBtGqeLwre/i+1v8yt/5+0wnY+698yaH9+6wmJySGU0cy6h2vsIpi46FsVkWS77z1S+xe/tFdm88w62PfZYHr32L6cF9PDl40cmODey/8ya7u3v0B1t85Te+wFbHUBd9lnnOwduv0t2+xvj0kPzRPerFGXFniIotx/v7JJ0eR85TLAvSfh8dIdJcobBWK0V3MCA5O+PB66/K16m0ABd5xd6tGzx89B6P7t6lO9qU5EJ56qIkTWIJyr3CZCluNqNcLDDW0h/1UUq6IaI45t67d5nnBUXpuXf3IVeu7pGliQDw1lLnlXQLKcN3vv0as6KmOxpw88UX+dyPv4xSAlC2ycUHPJp1fzgcXro3r//7w32oJixFoQLLVfZgpcD7ul2HjVZgYnobGzi16hqzNg1JWfjTCzfyPGTnW9A4ihKqekldV8xnM/LlgjhOAGG4B1KPkBYaGS69AlnbRFBBHaTAlFZUVUGcZCJJROiuCbvO6lnJmcnfr8s8hFhKBSDYSLzqCgHO5DwcaX+T7Ws3QxwrR5HPefDOm+hySaQbIPr8eFhnMl389/xaef73T/rdxfhD4vbwOh0Yje2DCYm6c7iqpi5LXFVQloVIVJW5/FtXzCdzyqJsE9c8ly4kG1kWSyFcWG1a7dXmfMqiQGmF7fbpdwbcefU1XLEgtZbj47Owv4unh9aKrNtluLlF1u9jkw6DzR02925I4Zrz3g3nhtFj7JEVyNuAo1z6t5LzNBqTYZC3MfTTMWeffDTX4LywCF0tev3j8ZjhaEQxWzBejPF+ZXJojGE2m6+ADtWsAxBFMZEVsk0cR2xvbzMcDnjvvTtr+Ydv36c5h+Z7pRt9fLc2LnULvEqxxKJ1jffCSI+sGJs17HWQWF9a8GUdKIuSKq4YDAbCMA9zq3KeqiqZnS3xGpI0Y2Njg93dXZbzBffu3iONE3CexWwueXEtc6EsZS40AO1yuWzzYTHiMwHwdUTWtpIHyzAfmr/L0kzmQl2xXCxE+985ilIkMYRhbQIjWQDXBgSr61WLfJqmlFVFmsn7RVEksX3opojjpC1KLRYCqg82t7j2zDMkacpiLnHTdDJB2QijLZE3OBOze+0mg61dFrOFmHZrzbKuSYcjbr/8Cp0kJbYRSmkqLyxqY6x0SVzIb2Qtlvns17un18Zj87N1oLeRjoDVftp0pbTyYmvs0uZox+mFAtvKL+iiuNsP9/EYkOYctYeNK1cZnzxgevgg3A/Dw0eH3Lp9U9ZGHZOpGF8XFEvxp0jSlNJVLIucJOuilGExG3O0f0Bvc8RgY4Max2IyZXwyZe/K82gtRSSDx2i19uwAxDhVKx8Yq1bwqrVbfJG5vZ63ubXXOCekjLp+nIlauSpoKetWUupxrGSVO1+UZmrigCYmuAwgXs/RtVe4cHau2fNZ5bSyv+kACp/Pd5vfQ2PIGwBtGhxP9hitFcppVFiznJMikNRTwz1zdXsXjDZSFPetqDKNN4Ksb1KAKZY+mNxWQfOZQMpS5IuFxFL5EuVhfHrcyqTmzrO7t8s3/uC3JE6PUgYbW2ztXWF6eshiMqGTiLb4u+++xxWb0N/eo1EL+CDHOpv8g+Cw/yHHX8iQrvngJ230WgmPwSuRhRDwQwndW3lpw8yXVEVOXUlrI/gAMBr6m5tMxicYGwbAmu6I9yt94bIspTW7clS1tOZFiQjqi0ZQK3aB9zVlVVHXPtDvJdlzdYVV4JwwNvI8J6psaI237QRGNQw8RZQkLFvH0fXgUjRdBPwNA7TJBVg9LGMNrvZ4YzB1STk+4aSu2b1xk+PDQ/LZWJyX67oFpaPQIhrHVthT2hAZ0RjVxhDZSJxSbQMMB43ES4DAyxaFDxq0KaAuxFCwKgvqupIq9oXNar1a6Z1rgeEyzzk5PmY6mbCYzamV4eqt21y7fZtOr8/s5Ji777xB4Qte+dSnhUm8vUecdlhMJ2i90t9SRuOaRer7TK7LrvH9qqXrz+uyROJpq6R+52DKL70ElQFbSyvaZYnRepBQeWnxSrTl+MEj+psb3H7xQ9y/cxeLQodk0aOIrCWKxaxCacj6aTAlE8Z7WZRUrkYZHZJICYbSNCWKI6yxodqpWn1MOP+MLm5EwoB9PMFTamVI45yjrApOT084Pj7hwcOHTKcTOlnG9tUrRHGEr5y0A1YV+WLJfDqlqmvRTu71pVXXBqmbWNqIbBzRSVOytEMSDPyiLGNj9yrZaBtlpJ2skXZoCwzN9wA+FMUQFd86oMQKZO0MzJ0G7F09pVWQsDrWxy3t36IIJarLC1tPYvJcfF0TEJ4DJNticiiGKfDBjEWvMayaQqFcp2sMa1dJ5oUxeNm4/KCvaX528fy/3/s9DYcPKNOTznv1LDXZcMj2M7foxglvvf46o0HGlSt71LXobdd1TRzHLBYLTvb3WZae2y99hHdfexXyKbeef4GT9+5iqfEe5vM5aZa293U+X1B6z2h3F63g7mvfgyrHZDHOB6mWWoquGtHb11pjvVTpR4Mu9995gy/8k/8PV67d4LN/9ael48X7VZCoDM9+6GXeeO45Tu6+y+bGCB1n0HTmOIcO8cDB8TEvfuyT7Fy9yff+/JuoszPyYsn08Ii6XpDP5iiCp4HWbN18ns/99F9jY/cKW1evc/vFV3B1yeT0gNe/9Wfce+27mEVBP01xpoY4Cu3fFf54n3//xhtsPvsif+nzP8vtj/8o3/6j36GcPgqhjCKJDWW54A/+x3+GjlKsLxlu7hBlHbKyIB6fsTx7yHBjh6x/kwdvv0FvUYrkVVnyxne+Qy+2gUVatECRrGsOX5fgDZ0koZcmbHY7dDspHsfsdJ/9+YTOxhbTk32sKzCdLkbB/QePuL67AU7WtLPxmINH+3SzDv1hj+GwLy3OVmKf0WjE8uCQrRu3qOqa9x49pJtairIgSyy198RZjyztkHW7TGfHvPHa6/zEz/8iKkqezDAMRyOp0GpqNo8+fH2ZFmLDnngajova/hfDFNkTFHEiDPHh1i467rYSHM3frL59MqjZ/Lz5mfeOYrnAWMNgOKJY5iIFtg6iNv81e27o/BG24uoczkm6Oah1xODqLWZnx1TLBVQFRj2eHyilqF39WILbnKuxMXF3yOzkoL1bOu2ye/N5TBS37+XqipMHd7GuIIoaUPr8HvLYfV37+v1i3suKDZcCmUrRMKkvFupg1bJfFIV4GiyX5FNJJMXMywSmZiwJrtGh4yqm2x9J0q4Vww0BwRrgDwDnWpDQ4dm+/TzvvfEG5XQK3nE6X5CXFXXt6HQ6pL2Mbq9HkiaYJCHOuvRH2+xcuynzUhlp+f2Ax/n44wc/npYuncuOdZBkNQ+c6AcH1n9dV6RRRKmWRFFMVdUsFouWHS4yKK6VEDFxQqfbodvtsphPUCiWy5qDgwNm02kAMoN2uAJVBdZnYCJDU8SpV3MuPCHRGo+pKpFraOb6OWmKqm6LAw2QrAK5o9EKBtWCrR6FtpZhb0BRVsyLnCRNuXbtKpPxhPHZmOnZmPlkwnA4ZDabidbyckFZloyGIw4PHmKtZbFYsFgsAAIDT7fAL2iZJyEPSNKUohCNT4+idp7ciRmqw7d7YrN+xXFMURREUcxzzz3PN7/551gbcfPWLR7cfyDyEAFMj+OYOOAFURRRVaKr7H1EWZZra7Bna3uLznDIRz72cfrDoeg3O09RFnz1i1+iKks0iv5om83tHfIanI7IejGl1xTOU2tDbA2dJEV7RVHVKL+SJ1GsdGLXyWTtOrT2u8vi9wbkbV5TlmU7htviVvP8w1heX+PWjegufs56cedpmsvrc7f5vvl35/oN+qMeX/mtf4uJFCaCvTTlzXfepjcY4euKeb4kPy3wKqW/s01dLlkslpQVWGOoi4L5YkqSxWzt7OKVZnE6ZjrP2d7eoBpPGWyNMMaCr0ORXImMWdAtb4qqyhi0FkNLFTpEnJcCKBAM82T9b9jwjUmlR2SrtJcCrHNKcslQo8OH7tT2fkADLV/cBpp71ZjztRiX82LKfGGcrReuzuEinjZHx/sWJG7+a+Z8S2pZOw+tFc7V4dqlU197OZf2ZZfgN+2vQiG+VlCUko9oTys5WdY1HkdktLDHk4iiWPL23QfUtsPVrR79CPBOCq2Rpawd/UFGp5OglBVpIGTPPTw4YlJUTI726SYR/dGAqi7IT+9zNt4Ha7h261m2n3uB+WLJ2+/t89kf/ytEWZfvBwyfi/HWNuLLrv2xQsITsK0PcvzA4PDFD7r0w8PmpbwCHDrUELxqoFppKa+1CRVLabdz3qOsJk0jxieHpElHxO+l1w3nfAsI12VFXVRQCyQbx0moNK6ckW2QHVDK4nAkWYpHKpHlYk5sLT5Q/aWNXdFojFa1VBSalo6GBVy7mmK5CJNOJmFdBxDMy8SXCock6U0w2dyfthIYADId2rHzxYz7d95me2+P4ajHwaN9caJVGmU8NrZknbQFY0SbTET3bZIEMCkA4ZwPXN8P5Hy/AXP+9zLJq6qkrouWydyK/Idn6mgq13VoxXAYJRIFdV0zn82ZTqdMx2NcXbP3zDVuPHubnWvXKPMCu7mB1jX55Ix3vvtdnv/oJzBRStYfYpOU2XRM5YObbQCgLl7BOkiyPiRX13LZougvfC1Xdf5erI/zFsF44v37oTo0KB+CEXWhRe5cQrl65lopXChyzM7GjMdjruztkUQxuJoqyLpoLWYSZVlhrCWJI2kpDB+taDYW2s9ogpSLFezmKZxj7DTX4FdzrF0wL47fsKGuX8syLzgZTzg9nbB/f5/RcCCtXp0OabdDI4avPCznCzpZhyQR/eBOr9e2Ryo0NrKtYUwSR6JTHIkExWjvKv2tLVQU49oWoiaRbZLNVbvORYj38TVV5nFVVkRRdOmIe9L89f78C78f+Pv93u9iYr/2G9ZLUJf/fTgZtfpy/TePn/sHK7y8X7X0MvDkaSrmXHY0weKlwMWFY7S1xyf/0o/ztd//XQajPs88c5WqLCiKHKWkhXK5XPLgwQOqvMZHHbzXPHzrDfr9jFTluCqnwDOfzkRX1PsQvIo5atLpk/UHVFXJ17/4B3SSCJTD+5peTzTJtYKqLhEZKo3VCq8KJsWMYT/j4K1XeffPv8HW7h7PvvLxtUICKGVwNuZjP/qT/Mar/4BONCXbGGGiBF8FDWVXYbTCVDnvfPPPWM4dL77yCXpb26J3X1e4umY5n7HMhZ0YxTGdTj9o15tQjAFtIwZbV/jMX93lpU9/ju987Ss8eP17dFxFVweVJu/BOQZWce+7f87BCy+yc/NZnvvsj/E7//x/wBYztraGWO2JUAyt5vD0iK3tDWkVL3O8q4k7GWjF/PgR0+Njnv/wJ3jj1e8wP9pndnbGYDQk3dlFxQneWupSAPE4jvHOUZVyTztpwsawy3DYpRPMYLNeyXwyZ3pyzGD3Bgf7j7BnBxSlI68rSl+37Yiz6ZzFYolRht5Q1sLlckG336fIc2bTGcvlkne+9122t7dJtLhvJ2mCclI46PZHEFk+8iOf5g//4Iv8L37lb7B943lqFWH849rnF9eSi+xMWBmdXDbH368w9EN3XHqKq2TVO4fyjjjp0tu+io1T2Z+97DG6YZW0291l63DYN2jiVC9gg6vxRYGvYXP3KgfvvUOS3pCiumuKhxpU+Bsk/tVGIW2g4Wy9RyuJh5UG48WUxyYdok7FYjYlpTGD9S0ZpImRm/OW92riLhXMrYRsQUh0R1f2GGzuiTO83Cm8rzl8eBe/nBIbOWfd7pWrmywSaL65w7Tbb3OPQqFVTsyFry8hB6imHNu08kpMKwXQxkpsdcebmKMqSubzWSvRU5VV0G3tMtwQc1pCIpyFjqaWVCKLS4hpQ9Jr5HnUrsZqA64S8szeVXCOndEI3+9RVjW1q6mC9nkUWWyUtGZaNk0Ybu2xtXsdbdP2vNXFzfh9jr/ITHva99v1Q8bSat0RI1Vp55b7LLGsCZ1lQCtrYIwhjmKcK1brWiBOHB4eEhlQSUQcizGa9w4bGYxddfI9nrMFUEZbyioArErjlUi/lGXZGj813acS5zq0MRjjQiHTndOjFdkSKRzneU4cB/DVWtACtJTe8+m/9GMs8yWP7t8niRNmkwlHR0dkaSoyKWVFlRcSKzvH/qNHKHxbKGoApeZz5bPlcz0K7xXGREwmMwFhi6LNEcrata3rDTBWVbV0NdR18EUpODw8YjTaQGvD4cERSZIGaS3BHay1xElCXuRYa+l0OkRxTL5ckiSJxA9At99jY3uTu+/dY7FcUNU1y6LEJgmf+OSn+PhnPsvx0RG9bp9Ob8Bwc4t5WVI5jWnWVK0hSGTWDunaMUkLuoopIeD8ufX93J7offtMLyXKrAFvl4G/6+95kSkMnNtv1wHV9dd8kNjzh+5Q5wuIsmU4vDKYbEint0m1OKVYLigWC3a39tjcucJXv/w1ur2U/OGE7avX+c7XvsrNjRG+dBTTkqq3ZIbn6PSEfn+AjaWocDqZ8KGPf5Kzh+/R63RE3in4AzRtkxpNmJZSiFUGGo35CoIzHLIbSHeJq0FpQ+09hRLCXRr8MECmc1N8UkpJzt9cechxnROpKueQgsZaAfgyQFE0eFdjRSNGkB5/btw1MmDN90IOXe0bzWufhDkQcov18xCZZy/rm7JtV3rzmnN4wdo5N90IdV0zmcyZjCegIA6dCUYLTlV7z6jXIU5ivFecnk44Pjrlyu0d8c+yNdpLETf3UKJRZS55DgprNdpEeK9IFgnlAgbJgN2dLdJBB2MNk5Mzjo+OGOxs8uyLzxP3N+j3HJ/6sb9M2ttEK9vGOY8P20tiPc/j9+5/ouMvDA7DeZT6sYDdS5VBI5uNqyvqSkS/ZXAIQ85ag9YxWhmc84w2dzgdn6EiizIGqlUQXRQFeZ5TFHnTlS3JKgobGbQWSQlhoWi0MWhj8Tai0+nSHY5QOmKxXHL84D3mJ0ekcYKj0Tzy1JGjrlYbK0oYcY15U3ut3uPKmiLPg+ZiqLIaMfbQRqOCJtm62yOEwesFMFOhYhgrad07eXSfuNtn7/p1FtMJZwcH+Ep0iNMsI07FoRmjUXbFnjVxFPJWx8XK3sVB9iTwZX1xuBiUNIewIwrqUhzu6zBhnad1BlU0TMOmAiUbd1mVjMdjiqIEa9na2WUwHDE5PmY5GRNHFh1FRJGhkwyhLDh+eJ/Rzh42iomSmMx1JbANesrnkoFLK0nrScSKAbn+khXwe3GinQeMAy5JA+zL/XoKElTgR69t4UwtwYpTYC5vs1xvGWo2FhVZzs5OmU3nPHrvAb1el3wxoypLlEtQQBmcgluGRQMw65UhjAptJOsBxrmxGjbx9c2GMJ68Xz3j9fO97BoujvW8rBhs7nD//iGT2ZLR5iYmjkiSlMhG6Mii0eA8SZKSZzm94UDGkxYwCRS+DvMXRRRHYs4VRRhj2djaore5Q21EFxgfxmJwoL5sbMq8CbxeBY3VEN6366NXCh0Fs6EPoJN92b1oPruqKqLIttqH6+d0WXHgfdd3eGxtWH/P9e/Xn/HFoPb7XcOTzuuyQOaiud7F97/s3J6GowkclF65DMP7r9OYiGI+YT454oUPvYhyBXVdhn3SMJ/Nee/OPcq8ZJY7Rlc6fO8bX2WYJWxsDIm0p9Ca2dmE+aJAacOulv20rj1lmbNz6zlQije/9y0mx4eMsgjtpaMgjSMxSqorAYiUtM1ro/EkpJGiqj3RoI8vKr74m7/B9WefJ0ozYSkpJYlS7di9ep3e3h7l/Iykdhib4HVNVZcY7cFXEmznZ7z1p7/Pt776h9z62Kd46ROfodPtE9mEKO3QD8FqY3SxKt4oYXFogha2pTPc5nM//Qs8eO7D/Mnv/ibl6RndzGBMgtFAZOnGhi9+4df46b/9v2Q2m7O1tUN+WmOUEed1Db1+RuVK7r37Fp2XXsJoqIscZyK0TekPYuqy4s1v/ns6O1dQNgX/LjsbPTr9LmmnS1Xl5GXJfLYkTRMG/R4mkvb+tJPR7XWxVorrVnlIE3Sckd+7z+GjAz77Vz7P/sOH2Cjhc7t7fPk3/xUPD47YHAyYTieMZzP6vYyqruh3+ri6psqXLKYzxqdnVIuCra0N+lmMq2uU89JqrDULN8dpS9Yd0RmO+E/+5t9hY/cGmIhGWuax8bw2p9eNcc4N33PA8HkQ6zJiwg/rcfkVhLnrHMViTtLp0d3YwyaZFPmda1lfSiniKF2934X5vg66rj5QYhVXV+TLhRjtFDUPHuzTG26LlqgJkmpaIRrD7QcEdo4ASe25hlhHobDaUiynPLr7Bp1uj26vR53nUC8lNmufiz8HDktcYFb7SgBm026f7saOSDRtbGNaA0hhRp4cPqScnZIYfQ4AWR1rsl9N3O59AH6b5LMBx8L91815rJ7H+r9NwVNdiE/WbnHoDgwJbF4ym06YTiac7B+gjWY0GpF0+mhjsZEUzI0GkRJRYtjsnBBUQkIrQLF0SZ7f72o8CZ2NHeIs4ei9d0mzjMo5bHs/xdvDI6w2lMYmCYPtbUZbexiTtNeg1sbmxeOD7M/vt48+6funophzyXHuWtd+rlXQpNTnGZ9VVZHnhcSeocN13WRSOh9CzKc1ZZlT1yXOiWSbUiJx0DBatV2tkQ1Yk6YZzjmWRc7VGzd49PChdGE4h20ZhU0bcogzVbOeRJSVsJKVXz2fqiypgrl0Y0Sd5znz+ZzOYEDtPHVV0h2MODk+Ju1kDEdDDh494vToKMgkKGbTGWVRiNmbAqs1VhuW+YKqqlqZiDyXDqbGgC+KIrRSpGlKHV4H53MSeRaKvCixVmQHfShy1QEQstrgPZycnNDr9RkOR5ycnMi1xx3AtRrLUWQxdqXhmWUZ+TKXfL+u6I9G2CTm7XfeFWMyV2OpGXRTSg8PHz3kY5/4FFl/KLlEKBqgDVZrtNcYJabNTnm0C2tgiDvkOXlU8HDya2DdOpmyeXbNGFofly0gt9bdd3GNvBg/P0nm5WJOcNGk7mnYcy8eTWFH1lHaHMuhUdpijWZ8coyvHVGvw4sf+zTzpaMz2ODlj32Yb3/lS+Qnx2wqz/37d7n28sf4xMc/xne/+kWGxjIY7aKKHE1NnS/JOhlnp1IoIU0ogTjsm2gpqGu96jJfje+GMBgIfr6Rd5LM0CjZMyJjWOY5rq4hjkOx06/tma4dv8L8De3r4XeL+YI4yQJeBEo9/nzXjQjldq3GWiNVQihoeKUufb1zjjrIuWpWOJjzvpWCaD5TN8TM2lFWjXGi/L4qFdaucLd6TUJHar0Nw7rB2DzWGol7ljn5XDoVPI7YxKS9Pj6KKPIFvixJuh20SZhN56iqYCPWDJKY+fiQLE2JopiTR4eo7oj54Qm3r+3ifM6yXASsz9Lvd8k6CR0Vo4ymrHOUV2xs9tncGZHGGcVigc0qBlvb3HjxI2gTt0a767npk/LUiz97v/30st//oPvvDwQO/yALg1ISnPm6xpdB+9O7ttWl+c9oHSqsYBNJ4k6O9tnd3mJ5ekRsxcwkLwtxNA3lFhecDbXSon/nvLR9B4kFHcVSiTAG0+nQ2djB2GYT8jjnZTML16W0DoCzpxH7h1VQ73wDDhp8LeZU9+7cpd/thZBZFn9rI+IkJkoSqlCBbe7duSTercwzvJNCUUGFVZp8MuX+ZEKSpXR6XZYzj7IRXpdoK4YAcZKQpKkY06VN0BcC+PZrwprwZJDkIgB0WYVQrTDYdoGpqxJ8jVYC1Hrn2sqOC0FKw7pAC2Bee3GtLoqK4c4uL3/6M3SHo6C7BeV8jgLqupCB6UF7R7GYUpYGvBUdyyRjPUy7PFm6HAzXepXonA/1njThmnu6Phqae3R+Yf1hPj660SXU5fDBqXy9gncRbHO40KKCsNysJi9ynrl5i4cP32OymMMxdLKU0hToSGNLQ5wk7fs1Zg8eWi3DJnAxUUS9lgCvn0fDJnDOCUAUNlCtpeDTmKrJ254XTrm4gIqmn+LZF1/ibJqzfe0G4/EJdSTBc2Ij0Tn2smlJu5mwCcqqIE0SrJGqpQuaREmW0ul26Y42iZMUG8fiwq7ENMN7RHLjwnJ5aUEGVsPQNylpGFvhZ57zie0PssivzwcBXM6fxwfdRD4I0Lo+ji7+3WUV4/c7Psg5XPzZxWD4g/z903I0q87FtRuesC97z92338QaTZIklMsKpQyxjTk+OuLunXuUlSMvarARj+7eoZemDPpdullKvlywzHPyRcHp6ZirV6/IWXgoc9Hm7gyGVMsFf/L7v0vHapFIUQpjLFmaBjOcZu1ctaLhIVVi2mGNITKa0/fe4h//3/4vfO7zv8grn/4RvIkAh9Ua5y23PvQyr335j4jyPLSbiwK3K514CxjRdeullkhXvPuNL/POd7/B8x/5BM++9FH6mzvk8xkP772Hq0rwntHWNr3+iCTrgLEigxpYdRpAWa7dvM1P/tKv8N/93/+vbMSOK1eu0+v3UNqTJjF1Pefrf/DbjLb2mJ0ekODF8Md7au+JWmPOK1gr888F52WlPdpYsk4Xrz3zuuLHPv8LfPm3/ke8mxNHYuirvCTYi9mc6XiKMYZBv49SUJYFAFWe473HxhG+qllOz1hUsJgc86e//W8x2lCWNae3nuWTP/F5vv7bv8P45AH5Yg5VhUHR6XRxtSeJU4rlUgyCYs3VzR12r18n6/WwNmI+X/Do4T6xjcmSjIf37vPK1Rt0R7vEnT5eBx31J4zli+P24vcX45DH5sLTBDZdjDVkEkNg3mgbM9jZxCZi9OeB5XLZemaUVcViuQjxbdSCUE8mAPjmB9SulvbrAAQ8+6GP0N3Ygrpo36cFKJD91lrbSn2sx5HninrKCyBZOarJKc4jQE24ymafv7g2t8xbL0mw8x7lHG6xYOfqdUycrW5T+Nt8MWV5ekikL8ak63JTq8TUq7Vxp9bG0CVViovA8OO/vwCehOR8FWPLUZUly8WU8dkZD+49Iu50GIxGmCxFBdkpG1moHcoY4jQN9wcpHmvTJvbrhnfKB2mBsqTKF5g4YffGbe6/8R0iI6yluHkfBa6qiZNUHpk22DRjsLVDNuiBstLNxKpr7EnHpcXG9zna91KXy0St38unYs6uHe35XnbazVw0uu1A0Ury2Th2lKXo2jZgcTOvGsJE+18UEUeGNA1s7/C/RhrNeEu0Nhat1m3xyBjD4aNHaAgdfO48w46GmSjSjFrLOS2LkroSvc8G7GmkFZKk0xbnirLE5EtS18MqAZmXeU4dZBkO9vdZLnPmiwXDTocsTvBlBc5RaU2eS6dSVYlhfCNT0XzdePVorQUUrmvwwmBWSpPnxerniKRgvszRWvKRRqt4vQillArXkTCfz7FWgOC6qhluDhhPzlBKkSQJaZqyWC7lOdU18+mcLJXrt3XFZDLhpZsfYTwek6QJsdX4usZEhkFvQH/QR9sI7ysqNFYB3qG1RSuLrhH5ltBtqF1T6Gm6BWTu6rBh1r7JK89rC7fLVzMcL8TazfcXgfTmfly2Hl/8ep1c0egVP+3A8GWHUkHSAKklKq0pljm97atcf/YF3nntNc6mU3afucFrf/ZNNgcdosSi6pRBOeDk4T4n9x4ySLo4LM4YHjx4l2Ixo6Sm9Iat3S1s1hcDtbqmVpKrRsrgQyHAaUJxIzyzS2IeHdj+bdgQvAIG3Q5VXYUiZcgaw37uA+ajwlhotH9Xh6fIl+3eCeexqccLpU/I78Jglb3ctRvvuXXeS0du7epzBbLGZ0b5ZuwC1BR5zcnJGVmakcURJrWgvOj3OyFJamNYqS1LMV2141u1WFUUW7Z2Nsm6mZBKqwK3qDlcluzuXcdPxpxOZvhigaonnM4WZN0OsVY8evCI6eSEZ565jkFhfU2pRZdaWP8W50uSOG210+PI4nQinTyLJZWCSMcUZY5JOnQ3d7ny0kfRNkWpQKS7MK//osf6XH/S8YPO3x8IHH7S+T8erEuS6FyFq0uoK4p8Sb5YBABGnAO99xglItG1h83tLY6Oj9jb2WZ5ekKkAVdTlHUr26CDTERwehLNLmvJqwpshIljbJKhrWyGKo4Zbu6gTYoYipdMjh5g6iUm0qJBjARhrnZiJtFU1bT8h4JGw9o5T5EXzCdzsjhhPp0yny9lk4oj4iQJE0WhjeiY2lYnihVgymojq73DYRhs7zI7HeOXc4yG5XhKFQkDOYpiVFfT6XbppBmxtUQm6AyrlTaUDowIHyLG9eFwPjCTiaQuTOjVAPL4Cw/chfc0SlGH99OEoE8p0f/10OjqNKC7NhqrpMXN1Y4iL9jpDbh26xa9wZYkDMrjyzzob3l8SOCVkuu0SYSrFcrYcwva+n28bEyuvm5SlyZIPX/d3+942jdGg0d7KxVJ5S+dzOeCCS+bkjIGZQy7u3vENkJrT6eTcnrsGc+mnI7HjMwI5ksMSqrrWqG1CQwgHeaQPIMmSKnLRidMTkRcuX3bqleVFcv5nHy+ED20BpTtdUlCcqWUwq+1TrXj3jeVS09ZVODg3ddfZ3J0yKPjI37+V36JR4/eIz+ZoJQJrHcBdOM4oapqdFUTx8Ky1MbSSTt0ukOiNCHKEmySYGNhOSqlRbDeBRZwO8efXMBozvX82G3mXDOP4LIH1QLjl1RrLwNIzxd5Lq8Gr5/bZYYTH3SuXbym9et80lh7EoC8fp2Xne+T7uP3+8yL5/zDfnjvW7baZe1H669r7omrK44OHrK1sSH7I5ok6XD/zl3u371L7TzzGm688BKH997FxhG9LGVza4u6ynHOMVssWOSivT8c9QPToaYqCoqiZNDv88f/7l+zPHxIvyOGjGVRMRmP6XZT+pub+MDmqeuaJHQWKKUkSTIKFUWMRn263ZgiX/B7/+Ifc3rwkB/9/C9gkx5KOZSyvPCxT/GtL32R+XRGkqQi52JjjImpy6IFSFCeJLFs6ZSqLLn/zT/hnW/+GSpKyOcnqLqWJNc5nFLoKCbrDehv73Hl+i2u3nye7mgDa6zsaUaTDgZs7V0lKWcS8KNRqiJKLCkJ0wfvcf/Nt8msyEVUZUmSiPGXc2LOGUUW76H2mrOpMCy7WQebWfJ8yXxZ4NOEtJPw07/yn/FHv/4F7u0fsbsxIkkSvLIoHJP5gmy6QOHJsjSsVxUg4OFsviAvCuazOWlvgDaOXiciTTs4D7P7d/n2o0Oe/9yn+daXv8x8MuPqzgZxksh7leIwv39whIkSrly/gjZQVzlFLuZhw80tRrvXePXb38EmCePplGy4TdTbAGVQuMfWi/dLMi+bp+vjuZ0D3j8Gij49RwBuFQEIBKUMnf4WOkiheQRIiOOUqqwxsSGyMcqvtELh8vvV/iwAoQowNqZGEiflFVmvQ5TEeG9weSFMJN/EgSHO9dLSHdIsLoP4HeLkrUJbtxhOFkLGUB4TtkCJ2Zu9X0Bl1a5hEh9bZZieHlIqw+ZuyqpFVubO6aMHaFeL1AVybhJPrJzfG1kMH74OI49GFky8P1rUuX0aBBCuKbrhmzNTbfxK+16rPdoE010PuLqmzJfkywVHB0eAYjAc0ul2hS2swJUFZVWhtUd5S10ZirVWf4WVexHHYA1RLHPRRnELIPm6ZpkvOTp4xPH+QzY2hmCtsJJtBEqRB63VOIpJeyPSThdlbEjHPrjpTXM8Ns6e8LpGxksKah/sM54WiHg9Nmv+X/4TDUvvpcBHaAu3Qavd+Tq0NouMgTY6FF4E5CTEYs4Li9iH+kXthRlnqipY3Xi0tTTMd6N1s4y0wEwL7gW2eRU2Q61X8glKLcFVWCMt3500psrzdj0CJXGv1sxmc0AHM0SFc2JyGmdC8jk9OSZKEna3tzAopuMJaZLSHww5PjwSaQxXU7katGKxmIecWs7Zs+oMMcZgGynI2lFXVTBtlBi02+21WIFSijzP0dpQVmVr1ii6zjVaG5GrDNeRJKnIX6UJppJYeVksSbNEpD+8rDG9fo88z7FpgvGeJIolpl/WdJOU44cPuHZ1h8l8hteGbn/AlRs3yYYjVJxS1B50DMrilTC7tRLC1MoQOjgSaS2YhxJgUvY1R90+M9X+bH0N8kHbWutVV2XTbbCuFdz68ajzrNR1Ys65OPECo715bdPRc1Ha6SKT+If5uJgHtDiAakhDUCnP8MoNiiKnNxrw51/+Y5azU4q4h06WzKcTuqM+vcEmCk8xmzAZP8RhGfb6VGXB8dk+3V6XKx/+DCUF+fFDVFmg1AyjDQZHsXDkxjIYdAIeJASCda1ej1qtpY2hZ7MnhXyWBiBWAQdbA2hhta+11+7EqLEsCnq93jmpkfUcq43X9KrA6n04jzVC3DrZ8OK9lS548ZVpRohzrs0B2nENoFb6ys3Y9r6mdkHD9/gMIs3m9jbF2QlaKZaLJcsqZ3tvmzSOhBSiFa4O0q7es1yK4WWapkLGUIa00yVKUvL5FEfJOC+4/9p32eym+MpRuwid9fnUxz7Jm6+/xpsPHqGVx2pLHSbqIq/Y6A/JDw+IkhiosQpmsznTyYyiqEQaZOiZLuaMsggXR/ScZ7ixQbZ7k61bL4HtBVnPJxdg/yLzq5nzIYw5917rP/9B0t4fWFairWCsffi533vZOhVI9cwqijwP7W0FdVFTVsFFVIEyiso7ok6f0ik2NkYU0wlGKdEZKcvW1Vcb0SfzUnsRPWLn8Dbh6s2rTA4eYcLk9whY2euN0CYJZ14zOT2mmE+xxlCU9Wqx856yrMmXBUkSB4fXJuRUrZB3URScnpwyPRszPj1lOp3gnBdavDYMRkPRVYIWxFqvyIEEzS4whxuTibqqcXnFrZdf4eHduxy+d59IQe1rinxOVVbEqbSxqyhB2RgfNlW8x1oNyoiuc/NMmoXlCeBRmOnnk4AATincivrvhaXlA9Pb2xhjC9ndXA3BcdLo8CNPMBcMwLcPTNXaY5UiMYrje+/w9d/7La49+wLXbj5Ld7iBMpY4kXtWFyX4puKtRJ/HSmtek2+0icSFBQ4aAO58u8YqYQ0asxcmyuPg+eq+rCe7Fyu2T8Mhou9hIV8LTs+/pvk9KC/zpzGDzLpd5rMZy/mcQa/HpNvj7OSMw8Mj0igmHg1ZzAPbzBjipA5BjMbo0LaFjHsVgiDZc1bae94JU2E6HnN2fML49EzM4YKj8Ob2NrPJlG6/z3A0xESrQKg5f9lkGwayaxkbi+mCcjbj0bt3+fqXv8Zf+0//OovpnHt37qBUjU1irLXUlZg9DjodSca16Al3+wOiuIOyWljQSuF9k3zSLozrgVe4zefuLTwO2q49gPb35xLTS4Ocx993/WfN688DveqxMX/uua/93fc917Xj+7ELLgak66/7IKDRxXO6+Lff773e77qelkPBpS360BRCXKtxCKC8uJT3hwOMjUjSlHvv3uHunfcoioqjk1Ne/uzn+NAnPsE7r36bzU7K1tYWxmqWy5KyLCkraWnr9XsMBn2iOKWsGiPSmi/93u8QlUtG3Q6j7V2KfEGen7Czs81wNJKgj+DOHpKWBuSqikKqMdrTH/WAAc4p0pMDvv3Hv838/0fdnz1JkmVnfuDvLrra6lt47JFLZGZlZS0ooLBUFYFGNdAAextSwF1GSCEfRkZmHmb+mJnXmeEIhd2clmZz2GyA3SDZRHdXAQXUmrVm5Z6Rsfluu6733nm4qubmFuaRkdXksOKmRLqbuZqa6tW7nPOd73xnNuWv/9v/gddgRdDf2uPFz3yed9/8NlVdE8We9dNNUnQY+qrE0gNhxoGWfq+MhaCsKuazU7YiRRR1oEk79dcHxuRkD97mZx/+nO//RYe//m/9u0ip2L56FScVjx/dh7omTXvotIvCYIpGAzgKMaWl108ZHz2k12ROCCmWrA/wslfOKQojGO5fZzGbcnp6QjzPWNQVL77+BmHS4Z/+w/+C1774q/zhv/O/50ff/ise/PzHbCUZlatZlCX93R0m0xnTs2OGWwO2treIo4iy9PpxWkkKJIQpVTajF0Vc2buKEQLjoNcfcHZ0xDvf+nOu3n6RxbCPmZ+Rdrq4hhEhkGSLAt2NORtPub63DRamJ2dMRzO6g236u1d44e5d3nn3XX77639AOtzFCuWNXrhgJK6uRZ8mKPOs68EvdVsFl4RYCfo1xrxqwW6xdMECHfj0yqomaFLLP6kt10JvuQGOKElRYYSrDFo4Ht372Mu/XLlCGMaAQ9hzO0dKdc5AcufnfTL459NcZRjglwiF0gF1kaGdr7xu20A8+BoUziJopN6WtQYkBolF0RsMlvYcOJytGR8fUmVzokA1hAMvqiMaFuT5dXlNRlaDCa3d7s61DJun8MRe2gLkbU9IL3bIOYngHOCWUjS1QM5lL+qqoq4Mebbw8lRVgS0VxlY4pUBq7wgrcFVJuZhhqroBBx1efs6TXKRWHtBt5CVkGNHb3ibtDIjTDqbIeelzv4YTNIW7/Of89SoQXmoPdy5FIJpg86edMhvtwzUbpO0Day3hSgHBTee6MGefk+kL/l7t6j0JwPrtyzrn5UJ0SJ0tEM7L59lGs9sHCT0r11pQygOfXp9Y+gCC9COvNl72LQwjnJANaeGc3dcMcQ9qumZfba7NWsvqbABf5LgFjpSUBIHCVjW2doRakiQhReH1PEE2AAs4JFVtCUJFkVUoFbGYF4RJRdKN6HVSZqMRZ4dHhMIXUE3SDqdnI3QYMh6PMLZGCkFRFvQGfaaTMa50VGWJWWEqO+co8pw0TambwlGLxWKZ5TafTwnDkKryBJEkjTG1a96rlvZ/oD3rWWmNjjRBEKC1otvrorQE4f0SHWhqUy21RwOtybMFcZJghUMFmjjxRDJrTMMIFxR5QRAGDLb22btyg539KwgdUDmobeMLNJnKq+PEtvyX1l+Vcqn379bWGCnkyhrIhd9bYKe1oS6Aciv/Vm3iVXmJVR95lUzR4h9P21OXAf0VcPl5aU/uXef346xFA7fvfoazw2P+5R//Cd1hl93bLxF3ehy8/y4xlqrMKcuCKAwRUuOsQWrQSYyKY4bOUttjDu79lCu3XqSIE0anE2w1RgpFEkoKCwQBWgt6vc4Somn71eFlRVlKJni5pzYTFeE438b8gFJKeUHUxgEVK/sUzuNMQgnyPCfPMjqdzko/XJbJsUZWan86hzWNZbECKptmLxRCNBlBYhmMbQFbY80SHG5xGycExgiqMl/6LlppBMrPcbOgs3udN772b/DhOz/j7Te/S3Fywt7OkFAFSDRVZTg7PWJ3bxfXaDoXeclkMmV7Z4s0iX0drGZtDOKYhRXs3LqBe/iI3iDhStJhfDYhz0e8++1vsqgMKkoIwpjR4WO0tVzZ32U8WdAtaxbzGU742h+iFkRWMp5m5EIibc1AgI4COoGiyjIGL7wAcUJ3/zZRZ9hYRRcpPp80py7726b5un7ocjgsA1GXfs0T7dOBw64x/NvFrgVjVgbb8lCcB3azBfl0iilLbFVi6golQHc7WGswRUmadjFOUC1mOOlQwmGVxFVeemJZ4VWHTZRWNJV2DaIWbG3vM9y9hslKbD5til9ZUAFB3MUhcaYim54yO32MW9HLdU1EpihKr4UEIL2mqBDNBBMgHJ5VM58zn80Yj0aMRiO2draXG9XobMTpySlS+KirVhqCYOkUrQIk51E6X5hAOcns+AhrLddfepneYJv33/oZdbHALHKwlk6vR39ri7jTRccxMggQUjU0ew/kmSZFZxOIeXEwtcZwGzduB5YDZ6iLBUo2UV6tMWWbYuJQOkIHFlNbrycMgFwyiwMpMNRYF6CQKJ8ZgDGO3vaUNmqWSoGbTXj0wTsMr14l7fQ8eBCGSB2cRyJEE8EU8gKX5Ymo18p4XH3dbgieeLPaL0+P3LSRxqc5ts+Nk3pJ2wQ6rvZxq93d29ri5PjEMwR6A/b3awKpmY7HHDXFJuJOQraQKK0IQ42SrVPrzyiEWFZCbvu2NWxtU6xwdHLKyfEJhwcHhFrT7/d9JDBJGI9GLLKMK1evoJSkPxx4oAeWmxZ4g906h2nWDmeNLxQzm9IJAh6+/R4/+vYP+eLXfou7gwHHDz4mUJ4RYGq/ielQo8MAgULpCKTGOc+6aMekEBe/FzZX5b5s8d/0/iZA5LJjVp/dpoDFqtG46bkba1BSXQhgPQ1oXZ9bl13bJxmbm75j02c3BX0ua08Dsdtzrgfqnqe5ex6A2NxP64EAqTTXX3wZbXOE8MyjBx/fpzAOF6VonTEaj3wU20J3a0DcT8kXc5DKp6wBztVEUYx1kDcSBqWtfRGXsxN293fobm+RdDtUZY7DkvRSojRGK4kzNVKcp08JITArbBYhJc74YqZSCrb3ruOc4qMff59vxglf/cO/SxDFgOK3fv8P2b52lY/ee5fTg4+ZnZ3gMARBQBQEBEJhnZeiAJANWB6rEKX6fk3SAdZ5w1U0uuDaOSIXEpuahQv5+Zvf5d03v8/dX/0yv/X1v8HR/Y8p5lOCdAdpS4Im7bQs5gQ6ohYRi7Mx86xgPMsYKk1ZlYShRupztrSWmsrUjMYj0uEuL37xV8inc7TS3P/wA8z8Q25tDTn86Q/5waLgN77+B9y5+yrf+Z//hNHRCZUViGxBqiVRZ4hSktrUCBERBMoH0ZqaBFFRMsqmBI3Goi0rDzJozc7ePuNJxvjslJc++wYf/Oj73H98yK04IgoDz8awNYFWzKZT5LUIYR2z6SlFWXP/4wcIHdDpDbh+97P0r9zyAFhb6HXT+H2qLfLJrT2+1cKUeG3r56ktu8B9cuCrLQhVNCnPT2vrDnDL9hHAYHuX6ekprq6YT6b82T//Fn/0H/+nCGuROBQgmwtbtRvbmhFP7kfelsNBtcjR3T6dbh/joLu1y+ToMQY/50Uzv5GSQIUoqZZCgn69AoNm5+qNRiqMZo1zlIsZPJ0r8AABAABJREFUk8PHhOo8SOqsbWzd1T5t18FmT2K9L56UY1pf/y/sf7AW3PCgdHv8+jhuWYuuNqRxTFUVVKUHknAWV4smaOJlrIwxXjOxZR5bX3Qa6QMFOoi8jyMFCgHFglGx4FH+ATdeepnZ2Slpf0B/sI2QnhXc3rKgBRJYOuHr++i/zp53GUFCqyaTc0NbtStci3C1P5/r1gRUlEIK7aUPqpKy8Fmkwpzv0W3xx1VGbF174oIHQixKtUBd3TjyGq2jpTbuOvDnfVy39JFE069L0G91rAtBFIWUVY0TEqWgrP2+KYSiKGqiMFyyb5fsVHxAuqoqwthrBMeddFmQ6ujoiEG/30hBOGazmS+Kh0NrTZ5laK05Pj5GS0FZeqJGK13T/i5XZeKaezUN4QjO5W6E8MxhgWcdro/lVn5Ca+0JRsYQJ0mjLezBY+u83rCwnr2c5zm9fg+kxEnodLtIobzdbxxZXuCMZdjb5oWXXqS/fQUZxFgpMcYTNx1eBxaBr6kk1wgrKzviarHstm0Cd9tjVs/T2ndtlnDb1jNKVvulZf6uj5/2ZxD4goNLHdn1Ub4ypnzNkuC5y9656D/47BNrjd9PNCAV1+/c5t4HH/KF3/oKgQ6xo2Ou7Wxx6iqcKbFVhg0Ezvq6WVoplNLoMKKuCvaDK1jneO9H3+Nv/Ef/GcMr+8zPTnj4/ofce/snOOnoDAbMFguSOEAFvkjdUg4FkLgmsOM4LxJ7TulqQVqv2NrIlKzMdR8/cssx5xqso9vpkMTxBU3qVRzEWLN8ru48en2h71rm/8VcdD/ujTGNjrAHhZ1zSxtnWfgWzwx2tvY1ORw8OnjMydEBadJhZ2eXTprQytGGkcbkC/7h3/svOTt4xJXtLa7u7dNNvXxVXdZMFjlFUUJlkJHPoOukXbKs5PDglK1hnzQJfOYdvs/STkKytYMpCqJQonTA1u4249NDokhwazCgqhzj8ZS5cDx+eMB4PKGOe1hTk0QReZbz8NEpSZqyNxwy6KWERYl0BlHPSIIIbSQEiiCKEJ0eUdpFNNrivhflct/+1w22XOZPt2DwatHBT9M+neYwPnXoslu5cHGu0RxNO4RhTJlnLGYzyvmcxXyKEgWBlggBdVEhtUIpRyCk70DhqzK2IKqP+gVLzVEFaGEhgM7WNk44VCBRNsDSiI07hzQ1ZVmwmJ6RT0bYRhS/rusmeg9lWZHnXoNFakWYxB4clrIxhJ0v0lJVZPMF2XzBZDxm/+o1hjs7aK0ocp+K++jBQzpxQhJGGB1gAr2ih+LbarRuqQ9lPKv66OMPOD095u7rn+eVNz7HWz/+MYtqwu7WNsOdHaIkJe32CNMUISV1VXvjVfoCFO1A2AQWrT0tzzHxlgjWWn8uWyGcxZrKs4Vx1E30ylqHDkLPKNUaFUbebrY+XWApru1AKO03WWV8gQPn6EcBIpDESUo2XxAmCYFWBIGCKkfYBKVjlNL4VdsbPN7+EU/czyowsr6xXh5VeXICtUDlZe1pTIjnJYq6KYJ8wYBZB/TEueOllSLtd0k6KfOjU7TUxGlKkmbM53NG0ylWwM2b1zFVQJFlFFFA1Dh8rbYgsNTgbh0rZ2vKsmQ+m3N6fMyDe/cpioLh1pDBYECapt7AxuGUZDKbcnRwRBRGpGnaMN1YgszOOYzz6WlZljGbTCiLkqrIqU1F2knodLs8+PA9bt99id1rV7ly4zanp8foNCWgYSWddxxWNKk/S+dTtBSO5ahZ7d91I+yycXnZcevHXObUXbYprH72coAW76xzXvDjsjH9Sdd/2bHtta9fx3ofXTRaWF5T+7lVTcyn3ftl17YKLF322eepXRYsuADiS8n1F17k47d+SBRazk7PKOYVSX9INOiQj455/NGHnB0eEEYBcRJjraEqSxDSFx5r2DueMeEDc2W+YD6fo6Sk10lJOl3STgfnDFJ6B6JlBnqpmCb4KaRPpVxJg5yXlk4cUWRzIm0IwggpJb1hH1FXvPOtbyK05Hf+4O9gRcA/+yf/GLMYc/vlV3jji7+CDkJ++JffZHJ2SD82BN2OLwTbgj5KIbXPPtJB4IukCYV1PrW3qqpGFxmE1Cgh6YcJi+NHXBukfPTTN3nj177MF37jNxHC8uGPfkBxeEhv9xppGpGkKfNFhraWnqqptreY5yVxVaGNxAmf+rbMTpKCJA0By8njj/jexx8wuHKF6fERu52E/Rdu0elv8+C9t3jw1vf4ZyeHfPUP/y5f//f/U97+3rf53r/853RDzd6etwOcs42Ej58fSinqxjkOtSYOQnSoKMqMsAGdjBCcnY2pcWhp+cE3/wU72ztYo3j37fcZ9LoI66hr0GFMPptRW0iSiGs3rvPxvccESmCEJe4N+OyXvgxKPzEen2Xd2jSu1wG9TS0IApSQ5Hn21ON+WZoHblbys54FGBOedVg2LH2lnkTfLrc/ZGM3SZLOAOEEs9Ept+6+yt6dO+zsX6VceJk3pC9oLKxBOv89QkpfMMuJJuuLJbI9ny+IGzZkVVeUkzHOGjqDIXG3T1kW1LMxUjpU0IIe546QoT2nIEz79Ptb6MZOaJ1aay2nR49Rwmt3+sCyxAlvB/hit41TvL63NAxLEEi5bvNdtPNaVpY/XK48F3m+sz/F7kS0NgcorYjiCOcsi9mUssg8i3FZc+Rc1qGqvAyMtd5HUo3sltYaWztvO2tNLdwyy6IqK+699VP6/R6zKidUkrS/453MlSEgmtvdFHB42n73LIHqX2S/bMG65VrQ9uGnPtMvW/Naw9aeB6xMVZEXBeABcysNReGLqNfLIkvS+1FaI4Qizwp0IBsJCN2As5Io8uOm9Q+fkJVpAg04iQrOZQvbjm33hTbgEUYRqQVZ1UynC8D7c3mWUxtHVRuE8H5cWSrStOODcFJRVRXz+Ry0JO11Sbs9FuMJw/6APPdgeLtenZ2coiSEaUwcJ5SF1wVupSHa/Vbrlt2rKYtieZ/t39ubacegUoqyKnHOA3Pt3qe1Jm/08dvvkFKwvb1FnucNcOaoa6/R3Ba+F86D3lEUeclGJYjShMpaame9xEacgJVsbW9z/eZ1OsNtjAhw0su4GGdBgpbKZxI0NYTaZ/BExvDK+rEK+K+TINbJGKukjcukhdrj1wkel4HCq6CfcxcLw7bXva5TvC4x8cveVvsWLtolztUYW1HmNVrHpIMON158kcVkQnT9CoVwIGB7Z5vZdOwzw3EI4WtbNJE9zwTe2kIiqIuS4+/9mJ98/02uXL/K5OFHZKMTYlvgnKIYTUl2t7BINK5xIy9mNbfXbVafWRPs9cf42l0W0WAyPiDhhJc7Emv33+p5t/bDuV91LvFoZUjtWpa5a5PdzvutDTKu+GTrhBQhxLL2lC8Ydy4lUWQ5zkqfKSE9OcQJz6AWbpdskfPw4UN2trdJk8Rn3UkosjFX+ynFoWNycMTtG9cQ0Xl9q8lognGC0SxjK4w85hgoev0eZVny0b377O5u0+2m9LtdnHDURcbk4QO6UnjJ2rxESMFgOAA8qabbCdga9pDS8fixY+fWi7z661/m9PFjTscT8jxrAkASBjVb2z12w5AwiDGm5v5HH1EJyayY8+OfvMVX/uYfESUdEKs24LOP4/P+XiEYPOPn/M9P97m2fWpwePV369w58Xx14cMPbiUlIgxwoSBIO3S39rxmbz7n7PF9sskJ4FNetFQoJRBKIFHnTiReSynQoReW12pZmVAGshl0mqrOfVGaQCOdxAhw1nD04IMmalv6QjpFjmu0jcq8IM9zjPODQilJ2u0QhHqp7bS6iFalT7ddLBYkiS86ETXp50Jp+tWQ05MTTk5P6HRS5EL66xVNwY4VQ7a9P1N5TaqyLDCVQUuJKDN+9r3vMJkXvPLqa2hh2LtyxYPCUYIxliovUGEEwgvbC3leAdU/n+a5NIPDB4Qa/aNG39VUhWdzl0WzQfsic0o06aXLjcZPaOMcOoxIOh0QoIMIEcbYqqKuS68L59z5IuIEVTnHVBk4yIrMg+g0DkkUoxOvg4e1mLJESU0tKkSAv6+GBuF4Euz6JJDkyff81Ly4wNFIHTy5iVz8nnaBbkf/c5TautY2gX8bHU3f9YRBiA5C7rz8Ku8vfsLCjul0urTyFA8fFIwnE4azPkEYEJhgWXhSBwFayScMDddoEVWVX+RHp6fcv3+f2XTG/tWr9IcDOr2e3yyET42xCPqDISeHR0wnU3Z2S6I4XgYP2s3QWktZlsxmM7Isw1aWyXhMUVUI6VPTet2UD3/+FmEU0dsaknS6GEtjnPrn7FNXm8XVXzQAvqwLS6mZy/p1Ux9f6N4143D1HK2jXJXVBcNt0zlXN+v1825y8NaZCpcd155r/fo/7bjfdO5N57vsvU0BoKcB35uuf72PVo95PtrSrFi2Tc/DgxYACiUDDh48Qu9L3vrpWyyc45Xbd/jh979DksSIPOf9H36PNIl8WmZVY53XDAWxzKxxDgKtscDJeMRkOgXn6HZSuoOBTxtvJIf6vR5JknhAAMCKpcRCCw6Dtz/j/pCDkwlkM/Z3h9R1iZYCHcekWwNKZ/jxX/wr9m+/wN3Xf4VYwtGDD/n543vkTpMMdvjNr3+db/7pP0EtMsIwIojV0jGWSnnQRXggSYUdv0bkGXXVFOVq1rAg8OwCU1dEylF1U1I74+0f/oBf/e2/zq987evsXr/Bd//0n5I/+JDeoOclHUJNbQtEkpLkJf2rt3l87z068TbloiDH0u12PTvHVCitSdKEPanozSbce+8dhsMBccfrIzpzxHBnB1eVTEaH/Ml/+f/iC1/9Oq98/ku884PvEceSuNtk2AgftK6qirIsveZgEFA2leil81qRSmtGoxlVVVPVFXnpNehsVfHKnVvMs4LpPOf2Zz5HWeQ8vv8A3R2wvXeFyfExi7ykv71N3A35wo2XKSrLdDbhzmtfIOwOfdDsAi9g81rX/nxaFs7qcVWTZhwEejn2l87x8wIvNfPHWw/nNof/0yXrfrsf45Z6nJtP/eT6tVw3aZ0QRdrre7acEkwfPODg3kckSXfZl3GvS5ykWOco85wqXyBsiUT6tUC3/S3o9VQDGknipAlKOEM+OaUqS5JOh3kZY11JK2Tl78lfX1vktrYOVEAYpW3n0F64NV7X/EJf+A0Z53wGWlXnhGGAUnJ5btE4221guwVNV7tptbArzdxv++3iXnquc7+x/wXLMS+lREcB3UHPkymKkrIomY4nCOEDZjifNuzBthK3IufhQeWGABOlBFFEnCa+sHUQoHWAlr6wqHXgasN8NiXt77JK1/mkfXnjnGw8x/9V9kLhMzDb4sfwyfv2L1tbB+9W7djlnG0CpwBaKfLynDG8lAAQPvtxscgJmoKqee6B4VBqskUGzhGGAUIEFEXRjG/VaBd76Y608TeLqiRJEipTY+raS5BIiasbPVqtCGxA2MjS5HmxZIhqrXHWf5c1jrKsMQ2o6tz5GlSWFc4V9PqDZg2GsiwZhJ5tWjRFUFvQV2tNt9elLgsPltd+bwoC7QtY48khi8XCs/mco6oqn72m5bJ/W9C2Dby0xdG08n5unhVLYNk5S5LESx3eqJElPDs7JY5jwjAgDAOyLPMZRlFAbQw7O7vMJ1OsMcRxRFH7PdQqzTTLKCvLK6/c4fM3bxOEIdZ40olDgvF9JVXg/ewmIqOU8llRzTqyCqauBz1X58Fq7ZDV/fEyG33dFn6aXdz6Q+tSFK2vtP7960Dx6jVtOv8ve1vvGxqbzzUi30qEYCHuDvj8r3+Fe+/8jA/ffZub169hTOVt2q0taPeyOKTb7zGbzMkWM8Ik8DUDpCIOOvzql3+Vt3/8fW5e+T10mdPpdJlMQEhNfzCg14lRspFvcavP91xHGhpC1fIe5Mo67bEH52CRlZTGkiiNUg2+I71EEazuf0/6966R+wRwdYnTGmdVc5/ywmdXsZf2X5tt0zbbZJE75zx4vQIQT6czDg9OvQzaVp8w9DKvSRQgej3CICKKSo6PT0nimE4aE8W++G41nyKCgN//9/9jrt+8wVvf+gYinyI7MaPJRwyv3WSULehVFh1oqrokSQIGgz5VVfPw4JitvEddVgwGA7QIcNKRZRlVVREnIZgapERrT+bI8hIrFLmVdHaukE2n/MV/+9+R9Hpce+U1Ht37iJ4S3LhxFSmhtpZysUD3A/rDPr3pHu8/OubuS6/x7s/eRXWGIFpcwf3iaC2bZSEv27svwwyetX1qzWFo18JVEGPFbXUOnEFYS1UZ2jQxXxEyZzaesJhNqIsFzkGYdBAqRAh7PjEA42qMMz7lBC/oL5sFVziv8xSGMcZJcIZisUAq7R0+K3CmorYGZwx17eUsbFt0Li/Js+x8cwsCwk6KkoI4DojjyLMTmn5cArl2pbhO7EHSIPROZSgk3V6PTr/PR+9/wGAyBaVQcYQMA9TKBHXOMyDqssTWhro2VFXtozvOsZguMAhC4PTxfXb3r9Dp9YiTjtccVr6AhXP4DUqqJVugFRMX7rwwh3Ae/DTGUNU1Xue1xmQF+XxCNh0xGp0Rht4oVUr5wmJNlFVJ1UR7aLQdHVGS+JR+K9CRRugAIXxaFCg0voozNqQqC3+vZY2wNTZfkE/GfHh2Cq/c5crVqygt/HU1WmzSGVQQIpTGObnccNsxt95WN63LQKD199qXPmK+OUV/Ocbdmgez4bhf9rapXy4DDy0+RQTndbBMZYk7PV544w0+fvcdTg4eIaUkjWO2BgNOTk8ZjcZ0ey0QYqiNT+Nanlf6dDicj3bWpmY6nnJ2dMrjR4+YTecMhzuknR5pt0+Upli8frXSIcYsMLXzBSqFpDLGSyO4tmK3X3RtWVNkBbWpKIuCbJYxmy0ospxBv08cRyRhgLQVH779M3avXsM4w5VrN4AmgirbpJ7z87bFIjhfGjYCvOsG3aYo/NOez+r58iIn0D41Zt24XHVWNs2J1e9cB2faAEdrJLbG7Oqxq/dz2dxYH0frc3C9mNyqYbsuZbF+ztW+vOy7LzNUW+Nl3ahZjXQ/N+lxzu+wK1vSpe28Pxx1WXD4+DGPP/gYB6Rb28RRTD2dY7sxn3ntVR4/fkiSJoRKkBc5SsimUKQvYulsRVUWOGOYjEdMTkcUiwVX9nbpDfqe6QQUpgLpGA4HnrHrOYBY4S4Yt/4aJShNmqZE0wUno4LtMieOU0xdESQpotujay21OeWv/vS/5/ZLn+HOZz7D7MH7BHHIUAfk0wnf+h/+hC/+1lf58Tf/nLDM6YZJw+zwaW4I4XXya8N8Pmfn5i1OPn5IsTCEGDAZsyKnl8QknS469I40YYetnYSffutb7N96kduvvM6dl19n+9/b5bvf+J958M5PcXXNzt4OVjh0HJOkMVmZs3P9DvXiDGMc3X4fkCgpMLaG2mfSpHGIkj32itqzq4QiEhK3WGAcDAfbpHHK6dkZ3//nf8Lho4+5+fJLPH7nJ3RnE8K0g7DgbEmgQ8oyoyhy4jgk7SRU1tsXUgkWWcnxeE7aHaJ7XZIyp8gP2d/fZbgzZIDkJD7lw/fe5Td/5+vcvPsZijyn0+1w78FDHp+NiDodtveuEXYHbG/vsIejv3UFd07PXBuyTwYg25/P4lyua6Wvn6v973lt6w7bhT5Z+X0TY/iyc603sVwwNDrusrsfoFTAYjb29SSEAyzTsdf3j5KUrb09gp1dTFWRzacU2RxXl6hm//MFpFQD1J4TEBBAmTGvSoK0izEKU+YIZy8+JSFAasI4Ju101x8t4DP5rLW+5rQ7zz4xxhNFpJDE4XkabAs+u+ZCrDVP9OkmAGXTPneZHbm+v7dOj1K+6JdFkXS83Eye5T4rIcswDUjmnKPIq2YPUsjwnMllnQ/yCCEoi5wsX5DlC0IdehsrTUl7PZzIGXQ7lIvMZ/k5x4WozNp9Pm2eLf92iU3S+nTPcq4Ln1s/n3vyObTnf97aE32wYqeFYcisrjErEoL+kDa4GpBlM5xznpCkFFoKL3WkPAvNywVES7KQUvIJG6UsywuyCaz4325lTNr6op1z/rwbGwxHEITkmc9MMM4tWdBSspQZ6Hd7zRj3+3WapuDOx33RMIOFECwWC4RzxHHMfDHDGEOSJJRlThiGqDimKAqSJLmQPevEOQDc2oRl6SWsWomLljktpFt+vp3DbWZF0Eg4tuzjtthd+zetNVXl6xWcHZ8QBgFxHHvtYukL8s2zAqcDbr/4Ai9/5jPMZhllU+RK6wAhdUPGkjjntc4VzbXBEzba+vxpbfJV+7f9fVPBuHXgeJMdu3FsXvK39rObvntVXqd9b3X9fZoP8MvY1gFRYLneaRWCCnEr/33xK1/jvbd+RD0ZIa9fQ4ahv2+laGswSanZ2dshUL6QsMD6oqPWYrVg/8ZV5kXOT773be6+/CJSKDqdHkL4ulBaGIRg6dd6v1g2RVxXiv25Vh/W+5uiIWwIIbBtxosM6G0PyY+PCAN9rj8saNi+K7fd+vPN+15WQ6CEIlQWKSzCNGxYKS4895XdYM1H9SB3UZQUWQEO6spjY0J7QmFVltBk4y5mC9I4RquA5msIw8DjWFJhjeXeR/dI0pgkSVBSUhuLjBKyLOM//7//33jp2hbDYZcwSOj3uyAVYdplNp2xszukFgJTVXQ7CbCFFTCbL3AopvOcYb+PqUtGozHzecb161cYDjrUpgLnqGrHdDpjsiiYzxY454iV4ubWgFFtiAdbvPq5AeMH75F0UqTQ3PvwI8oiZ7i1BTrkxqtv8NJvXOH/+//+z/md3/89Ov0BtHTNS/bR9YDOxkAum0kE50P7yTl6bht9+jn7C4HDcL4AujZwtvo34dVTsAZTlVTFgmw+Yzo+I8tKwrRDf/sKva1tojhkfHJINZ95Y9+tDEI8e6LdfISUDcNXe01a6Tl8RZZ5DbogQDiFrQ3CePDP1BW2qnANUGyqitl0SlmWhGFIFEcY5aP3WvkCM36hf1KyYEnRbzSMVFM9VmqFrSW69hELgIODA4xw6DgiiGOkNMsU07quoUnBrcoKVxtMXS8ZQFVt6W0NuXHzJoOtbeLeAB1GaB0idcMQFrKpci2RbYU2Bz5xz/lCcY21YEyNs8ZnC4im8vhizvToiOl4TJlnIMBqiTU+ClWVmV8onKBuU+2VwBmBKUpys+K8+dBSU4TBg3/t5l9VFZWVWKeQIiRUFUkUsFCCk9NTfvTd7/DC3Ve4cu063cEWYcei6oB46XH4woasFFRbfy7rm8BlE2t1pJ7bxqvRtIvnuDgBV6O1l3/XL2t7GsDWvv9kdNH3uNaa+XjMcDck7XV5+Y3XUVry3k9+ilSaOEkRYsTobMxwa0icJpjaLiVhluezzTU0QZbZZMrkbMzJ0TEnxyf0t4b0hgPiNCVOEjrdHtZZijz3kb0oQkUhQRwRxpEvcqUUzjapps31Ftmcs9MTppMZpig5OjigLGv6/R7D7S2SToJWEChHJCzTw0dcvXUHLRVuWWxuw7r2CSDIOrD7LMbUpcZds8GnSXrh2aw7f088r7XNYtO1rn/XJl3GZz3Xxmvn8nv/JJBofW7/Iu2yYND67xcBqF/edr65i41gymWfiZIO/a0dDmcfM80KXnv1db8v4Rjs7tLf3SHuxFR5hrM1znjNwSD0wVElBUWeU1U1pycnnJ6eMh5PGPT79Pt9kk6ncWia4i3SF2rwqemiychguZ+ydGig2+txfHzMbDahM9xiPJuTJl2MtdRVCQjStEtVlpyOJnzw1o+RSjGb59wYDult71D0upwcHPDjv/gWL37h87z/o+/R6XawjqXucOsMSMBlGW99+3vc/Owb3Pi13/RFdgLBT7//fcZHjyirgt7OHtu3XmF8dsL4+BG4mpPjY+7c9ay/4d5Vfufv/BFvfmOLd777Tbq91BfNs5Yo7bCYjnnt136bD3/8A4rRIcYKur2eD+4I1xSr9dkAodYMBx3G4xohHMZ6lq8ylrIocMBwOATgw5+8yR/+B/8J1hiOPnqLnS1L2uli8el8VWU4OxsTRT5Dqd/vkzuoTUkQBPTShKPDx9i6YmdryE5/wO7WkKrMCYMEbS1BkfOjf/U/M88WnhkVd9jb30c6w+jogNPHj3BBwvatO/zaX/s9X/x2xXH49OP6abI34mI6OusGr12CgM9Te5ozDyvr1KewKy5bf8/XvCawrWKGu1dAQLGYLAO1ygHOUM0mHBQL+lu7dAZb9Hb26QK2rrBlQTYbUy5mPnDfgCG2sY383usB5GI+9cWy2my2peadACRpb4dksLVxKRMCTFVjbeNOOSjKEmO8XE2SJJ5d2ezT/jOSNpR7Ye1vA1LN78tR2u4vK1fVdP6FffZpNqZvXrNQhRZTelZXFEtfBNA5uk1abZteW+YFApbswhY49KoSjT5jE1aTUpLnOVVRMJuNscLSaT7rnEFgvI/llYkvgN2/kE3a9s8z7LmXAkVtf6/05/p3LN97PvClJ9oqKLesd+0c3W6X0QNfhC2KIp+1YgVlWXlZxbLyOveNbKKzgJS+IJyCKFSA8tkjzpGmyZLx2oLBYRgu/SrZgMlCef1fr10tfHp7XTdjiWVKeQs8SinRAlAaqSxFFFKWNdZYoCFBNb5dFIYEYeinN448y1BhQBgnXnfYuUa32N9nv99nNpksWbx1XftijXW59AWdc0vWcJ7ngGdbt7ISq+C397f9uA7D0J9XuoaB7++n1RJu5epaQLMt4mmsuQCmOueoq7ohgEn6/T5VXTHPM/KyJOj0ePWNz7N39QZnozFCBZ4oJf3qoaQPqDlnPW6n/PvGmkY7/FySbhNpYvX3VZB2VWu5XTM2EUpWmcDr7M1NrT13O26WEles7xEX9cE3+QhtPz4v4PBqW96rEEv5S2AZXMRBZzDkxp0XOHp3BgJkEBFoha1LrDGEUYzDEUahl1Jr5hzSByGM9XUsbl+9wY/efBOMJYgCnPLMYGcNtfM1ebz8iGq2Jo90tcxb5wyixVLa66ddPv0c11iUqxg9fEAaSKwTQKMv3e55TVtmW7VSM81uaYwPbjjnfXJESy60Tc+wNO2E8IFZXDs22oCtZTabc3JyRllU1LXlyt4eSRp6mQup0EFIFMVkizlVVVGbikAqEB7bC0ONQNDtdrh15xajyRgrBWGsCVEEKuTNb/0LQpOxt/UCQagwRUE30pyMThDDIUdnxxR5xvbOFliHpaLXScjzkiwrmBc1cRpz7+AIjWV6NmI4HBBGATJQBEoyGU+pCIi0YGeQ0gl89uRgZ5deNyV/cEBV1dz97Gf40zf/ipcWt+j1Q6rSMJ/lqDChlBH7d15BhSn/xu/9IS998fOgPE7pWvvkE2y/p/nFn9Qum5u/iD/9qcDhC4AAzf6+frPCsyxbZ7CuS6qyoMgLVNzh6vWXGGztIKVgMZvy8Ts/RwlDHEa0tFcnaESuzxe0c+AFpA6RgRemluAd2cZxtsabTDiHrWusqX2Ke1FSFSVFk16TJImPTiiJFRAqTRQH6FbDby0VatVgtM1GZ41BOJ8CUFuvrdXt+MruDz9+SJp2mSczkijxmovKL9JVXRFEEUhJVZbMxhNGp2fkeU4Qhtx44QWu3bzF9v4+QZwQxakvPKc9SCpoKhsr3WwmnqHt+6oBwmvTLHzeGKnrCmfBmYrF+JT5dMx0dIapHXGULCU7lAxwxjtfCM/SaPV2lPApu1iLq+tm8fIrrXNuCf4JZ710hzGUdUVnMGA+mUBVgVDoKCGIEtLeFiejCe+/9xFlXnPttuLlmy9AGODKGmuqZWEH4XRTxfm8rY6LTxyvT0ysiw7turH7pAH86YG/X6a2fv+bFpsLUUH88xR4jcfp4xGdXh8d+UrK8yxviiGCdT4SWpY1i0VG1Wh5t/ppq9Fu4TwrYTGfMzodcXZ8yunxCb1en63tHZK0QxjHRGlKp9/n5PCIIiuYTWfMZzMeP3rcRFlZgsLt5mca3ezZfMZ4PKMqHaeHpwQ6oChK+oMe3V6HMIkRUQwqQMUR/cGQKPGMedum5FzSb+ttdV1oj98EcH7S4r5+XPvZdeZYux6uX9vqGvW071x/77II5NPuddO9rwcfNp1v/bhNTOin9dEq+L7KSH7apnrZPT0v87Ztvp/xFc0vYRNeWAuFQMddvvhbX+P+9s85PDzk9PFDfvyjH3Pw6CE37tz0RqpWWK2W7BufkRMQBCFKFWgVUNeO09Mx08mcfr/L9vY2V67sN7IN5+uwap7JqtPSBnbdOku80bWPAokIQ1/odTEn7XaaFFKv1d/pDSjzim/9s/+O3/+jfxfV6ZBnGWlZorRib3+Xs8NTzo4f09/aY7Eo2Br0OZcdaMaHFOg0YNd1OPr5W9z76Y/p7F3hN37vD/mDf/8/Jl/kvPPmt/jpd/+CaWmRQnE2HvPC577A65/9/LmJI0AGIb/ytd/l9OgRJ0cP2L/inV2pFInWHHx8j1d//bf57j//Y89+xEsXSSWXxb+stQRKk6YJURQSRDFFbcmyhQeyGwfGGEORFwwHA/Is5zd+9w/4/p9HfPzWjxjmJdu7W1jn6PW6TKczFouMINDEceJTbGtNVVUMeik7g67XS1OKOO2QVwVaaQ6Ojjg9m1AIRbmYc21/j939K4xPfQHfKOkgMAhToaOEN77wRaQKAblOXHymcfws83XTmrL6GSGeZNX9sjbvS10Ogl8GIvwv893NeQHjBEIFDHf2mCpYzGZ+XrrGihNe9mF2esT07IjuYIfucJsgjBFBRJj2qeuSYj6mKktMXWOKBRKLsA6nGhafxGf81Xa5JrTTUeqQpDfwfsLKLIV2P4FOv0exs8vZ4wfexsbbIHHoJaqgzUZoTrwCgj/BuhHC64G2wMBqn59f1vLYts8+aY/0Dr0ABToMMbbGWS8loJsaG62UHPj5HgXhkins1s57/u88eyfKF+RZRr7ImE3GCCfo7uwgtSZOu8v7WX3Ov2j7tJ++dP9cAYDrul5qWK8Cz6v/f95aew/nY8rfSZqmHtRXirwoUFrz2htvcP/Dj3j8+DFKaaIopChqHNZncFqHUmJZ+6EoCrRWS+ZrKyehmqJPZVku2bGu9hqjzlmElL7IWyPRoAONqYzPnG3sxaryrHWlFbbyZCSHWAKxCpbZqy0I7Yu++fuWUhKEIWnaWQK5h4eH7Ozs4JyXqCiLEqkUgQ4w1hcv89JxBUFThK69nlYGSQiBNecs4lZGYx0wbYvZpZ0YJ01TCFB4Kaog8P2oNS+9/DLHJyfkiwVSCJI0QQgIAo1zhjAMiePYZ0ghmM1mjWSiZWt7mzt3X6W3s8t0NkXpENUUpvdhLcB6v1coBarJsloSSXxmZAs4rtqrm0gd6/5r+1o3hXQvs62X/k4Dwq+Ozcvs+HVQd0m4W1nzVgH0deB59Xr/l96j/v/ZWq9/2VertyIV1194idmD932B4yhhPhlx+PgBW9tDOp3O8lCPPQnv/DZBUO+XOlSsee2zr/pxIr2EZ1UbirwkiTseNBUaJzTgsKb28VPXSqsIhDBLsHh5eVL68WUdxlZYoBNKZKsCsQJ6t3tJC+Ra42t/WAzWNsXItfJYDgIrHFI6pGjGyYof0d6w3zObMGwjkWStJQxDhoMhs+mc8XjCu++9z507NxluDRFC0SQaYZtirLbBAELtA1tB4EmOYRRS24qqjhn0u0ShQuDZ/uNZTpjEnB6fsLs7QOmERbZgfHRKkWcM0hApHaby2XJ+rYEkjummCUVtyOcLon6POEkZzwvCUJN2uhgcQsJkuiCzim7kuHb1CnGgCcMQoSW2WnB1u8/WzRvcufsaL3/xy7z33gf86pe/QFGVLLISqztcuf0KncEeDnj9N7+CDHSzJ37KcbqGa63bIJeDwM3junR7fva5+4sxhxvPRTThjAuO/nJQSYQUqCAiTTr0926ggxCHoCpzjh89YnJ6RKC9Q+qsw1DjJEgdIFRMmY3R0i0ntHGOoE0vQaCCABWEKOEZwmVeYOsaU3kZgzLLyBYzLyGRFUtZim6v651PJXHCs4XDSBNodV6XQjZRYicaVgSNkaoJtGY+nVKVJWFqkM5H+5XWRGmH/f3rfPzhA8ajEcPBgGLu9ZZ0qD0Tssiaa7UUecnjhwdMRmfEnZTbL77EjRdeZGd/n7jbRepgyRAWotFv1EFTiR1veFmLMRXWGWxVY6oKayp8eNpX9S6LnKrIyRZzZpMxVVkgZcOY1gE6CJYszGU0rcln8H3i+10iUMLLVCyBGQngPOfBeskMa00TaXKcHR+BadIE8YznII6J8pxr12/S7fcxZc58csL9j95l++pN4jjBIFBSN+kQ7fD6ZOBuHbA7/4xdiWWcb9SrDsVlTimcs97ccvw/Pxvl6r2sGiuXRbZNbZBaNJuAJAojHt+/z407LzA5OSOfzz1oPF+Q5QXT6YxiscAYuyw2sfq9rTPWAsOz6Ywiyzg5OkFKzfb2Lt1unyhJiNOU3mDAycmJlyOpauq8YDGZYouSbr9HqJRnB9pm/DUbl62Nj1aGKVdv3SSvDLOzY3b399na2ibpdtBRTNTf4s5LLxF3Ek5OjzCy8d+do+UhIZ4cS+tt0/uXRf4u+9snPa9N5/+kv3+av1224Wwyaj/p2p61PWu/PS/f879ma21YH3B5RkDMgRWKq7fusDg75d67bzM9PWUnjdh//TW6gUSZmiqbIaVGNc6bVD6K3x/0mYxnBEHIIitIkGgdMhz22N7Z9kwe65lQxprGwXVLnT1fL8AXaGmvfZlKCjgrGPYGuOqEk8mIwe4++eyEtNPxMhDWS0qFYcTOcIg5PuD73/4Wn/21L/P2d/6C7WY9cVLRvzIkO5uQO0i6KVK2RWFah8Z3SSIlRRqwm8Zk8xnF5Jhv/sP/iq2bd/jCV36HX/03/jo3777Ow/v3yGYTptMRV27f4fDwgEFZIJSiNxgiAwlBzJf/2u/zJ3///0lVViSpLxBngoTZ4UPSX/sKX/rdP+Qn/+JPKQsv/WAtS8kLX0DToLUPuFpncVJwMhojjCUIvGE/nc6YLTKstvyLP/5v+N2//W/xq3/9b3Llzkv84M/+GebomCt7e4RRRJIkzGdzJpM5Umr6vT5CSgIV4EyBs54xhYC6XCCEIKsdk7Ik2tmhePSANNFcvXEVHcUoJZnNxlR1yfaVa4RhRNjfJhnu4/D1AHw3u8uwz2b8fnrWwieul58QSPrlak+/zk330TLE1tnTm9qzOA1AI0UoQYf0t68RdxbMJiOq+RzXaJq6qiLupNTWMT895uzogJuvvE4YJiB8kcIgiJffVeZTFuMRVb5ApylxlDAfn4LxrCrb5ns1JIo46eCW7LoVb7ZpZVlyeP8jpmcn2OpcW9QzFNve9CycVWjZj7GLdtwmQMY5L+Gw+v7y30r6/ScFz1e/R2uNSBPqBqAztTm3KYUPjFnra3YIIRDW+rTilbU8juPGoT2/5iRJiIKgqcfhJWlMWRMMuiSdIYjNtQgua0/MqRUgd+P9PvOZl19w4eWyuJi7KAAjVv7/S98a/ku7hy3559aBsCA0tSmRYYSVAh1IyBxlVvDuz37GeDTCGusZwdZSm4q8qoiDkDAKsHipP61DwKGkBuOYjMeEWhFFPivFmnaPbRj5ohmLawAftM/5vMe1DojiGLPIibTG2BxRe+ag9wFDXFHhXNjIVfhgjHNQ5BVB5AFcz0g2CKMwVUUaJz5AZPz7tamwWGpjKYqctnjc7vY208nUs5OFo6pKQu2JI0VeAA4pfd9qHXj2sPLM6EBHOGs8TiA9IGeBsLFXkiSmrg1hELDIFjy8fx+EXDKbozAiiiKKLCeMIi+XY2u2hkOsFZS1obRw9faL3H7xZcJOl6J26NjrQjt8qr3Dsyo9qKpASg90NRrPfnGyTfbsRe3g1QK96wGhFvhvgd7VdWqdQLH6jDf5t+uvNxE21m36tq3KfGw65+p3Pj/7rm+bfNwlK9vBcnUSgv3rN3gvjDg9OiLtZpydjZgvcrodw3w8PQfVla9pocIAX2q0kYFo5l6318HVjYypdcymBUdHR7z04osIH071e6Mz1FVOkWc4B2mn4wMR4rxOR7vktAFOByyqmv7NFzl496f00hhjJUooEC372NfyaqVQbaN7L4RgssiYOdgbDhFV5dnwwqADkI2MpBArkiIIpAClJDSEQD/km2x+KQikoBOHBGpIoCQffPAhL8mX6fV6OGtZLBYo5eUhtY4RtsLWDnSTpRAFfh0MJdvbA7pp6u1iNJF0qFByWJ5xeHxGaWtinTCazIjDgP1+h+2dvg8AIaiaoKQPWglu3LiCdVAsCj4+PKaMEj7zpS/z4U9/QHw8ZmvQQ0jI8pLcKnppBxXG6MBR5CWuqoiEI1QRxekx2XzG7/ybf5f//u//V3z7h2+zKC21DkiHV0l7eyAVCodRvh6Ssk+3jz9NO187/FA737fX9+/L9/VnbZ+uIN1KdMkH7TeDdhJACoTWBDpABRHOWmbTKWfHh+TzCdLWRFo22j00DAG/CRknuHLzBR597ChmZwRStDtz+2UI57VwtQ4xdekLzVmHrY0HQedzZqMR4/EIJ6DT6TaOWDP4G03ROEn8NWq5AkKKxiBoqhY3k0A1ovudXpfZZMp0OiXpdZBKk8QJSmmsEwx3dtm/do2TkyNmi7mf8I0+k7WGsiy8g2gc47OxZzVubXHrhRd5+TOfoX9ljyhNCaMYhMLRVGxGIoRCqoBWzBwlvGxG5cHguijIpmNsXWCNoaxrTFWTZxllk7Kko5AgSQgC5cFX0RRUaDRkgCYi6pbFFtr9TzSLEyubh20X2ZWNpY3OKSDEs7Mtpkl58ItpIAWj0THHjz6mk8b0Oy8Q2Jp6NqMyljDtNOk83hlYNz6fZeCvb4Ln4O5mRsiztF/0c/9btnWj5LLW9o3Xv/YbpxGC3vYOk/fe5cFH75LlORpLEocUkSZOYobDAa6XkqYxgVIosVIteWm0WMoiZzweM5/MePz4gLwu2Nu5QtLtEKUpSdqh2+8xn88xRU5ZFOSzBTYvMFlON024sr9Lp5MQpxEW56OfrmVIFBhjeflzb3D71Td4/dd/jdOTQ4SzlPOMsilst3vzFp3hFqPDA44fPWbr7mt+lAmHE6uh2Mv7c7VfL3MmL+vz9vU60+my4y77jrZtivQ/Cyiz6ZhNQMPTjlu9h1WdsssCD5u+/7LvXH9v07VsSr+7DBR+luDSL1trlleeNADWj1u9N58mNn58yJt/9edMxyO6nZRON6YocmyVkWdz6rpmNB6xvbOL1h4kdsL5YqMI4qRDZ3+fq9f3OfnwfaJQetmYJk1OCl8DQAlBGEZI6QuJNRfRpKuK9QulMhVhp0ucFcjxnKjT4ezsmG5REvd6YCqvdRokRIMeW67m/ocfcvfuG5TWsVjMSDspqkl1G2z32NKaIIwatpV32kFiTI0QYJ1ASQ8ydXsDorimrHLmB+/zL/7Rx+zeucutu69Qz8fc++F3iKXgZ3/2T6mtpXZgwg5f/b2/xa1X7hIGMVt7V7nz6htkBw/Zub7LYnJGGASEec47P/gOv/U3/jbv/fhNitFjtFaEadIUZ/K2hq85DbKp2D6azNm6dpPpZMbho4+p88I7pc7RDWviOOVbf/rHWFPz6hd/nV5/i2/8k3/A6fEZw90tOoOUk1OojGW6yMjnGToIiJOQwaCLtY66Mg07zRcV0hJiW5OdHDJMQq7c2KeWjmIxJYkSXv7sG0RJSn9rj6C7RXfnKkpp2nD5ahDNP/JP3o83zcPLitRd9nloo3nPQ3sSBF1tm/aN9QJCn/gNa3vDxvW6eVgCBUITxZoo7mLqimw+YTY+I5uMOD0dceXGbRZnR7gqZ3R2zN6VG34fW/a5j1hlWUGW5biypKgq9G6MwCGtRaoA6zxDskYS9Yakva0LfsN6y7OM00cP0MKhVeNGO6+PiGx5+A7hzlnA56fzTm372nkz3gdiarPUTrdNrQLrHDLwzn2kAnQUorRqKpFfzM5YBW5W9/N27CoVIEOF0oGvbWKt92WMQaoAY2pUk3rsbJO2u7JPnu/dnnhBM798lojw9TtSD40Nd/aI0g5LmPUZ97EnjnuajdAAEQjx5MhddvCnt8fb456XtsRmGvfT9xeAReA8C846VBji8EBsHMcUeUlVl2jlgVQhQEpf2LWsDVJLpG40XqVsWLptEXSQ1s/Usig8E7g2eKzdy49I3ayZ0oNVVVUhhVgyctvWSkoEOkCpirwqm+v20gRa+3FelgVSaO/zWq8d6pxosl4801fHXoO1LAqiIKTf7zOfz3HW+doYYUBZlZS5z16pnGdBpklCoDT3PrpHoDVOKQ8oG0MUeRmqVmKiLTDnC+epRl5BUJY+UGSMucCsLXKvYdwWtsuzDK3D5X1XZUUYhCjp5SbDMCBJY3QQkOclTmleuvsy+3dehDCisOAared1G9+zhc/11i/Y9a392xSybP+2yn5u53k7/tvntOonrQK0vj82z7HVYnIXxuuKzXyZz7fp90+ysTd99nlol13vJkBdAL2dKyRb+4wfPWCanzaBDss8qzBigVICnCWQkq2dnWYsNHIL0heDs9Y2tbXm1M5RC8U8r5gvMpzNsaVBEECYgHPUdc3pychLJwYBgQ6XmBP47O1WksA1Pmpde5mLqjboIMIYgbGGQJ372qaqlhkDbXCnKEpGswUPj0+59bXfxEiJyWfeVhcSMIxGEyyCna0+QknqCnQg0KIlxfmsHaEU2jlcU3TUSj93uvRBhfzs7fd47dWXqct8SUxwxlCVFXEUIJzPovBMaUscBSjZX84Vr9zicELT3bpKnls6KuTWK6/x1pvfoahKru3tsHNtjygMqbKc6XSCCCOKvGB3e0CezzFFTRR3KKUgMJbpwwd005RXv/wVHn34Pgfvf0QgYD7NKPKcnUHX27fO8NHDA67ffY3x44+4fmOAq6a8/+Zf8sqXvsrv/dEf8Vff+CZfvHOT+/c+YnjzNiqMAE8lFC0etgbaWvtkRvCnbU9Ozaf71b9I+9SyEu0k8rahWKZHrR6z6g5W+YL52RHlYsF8MsHUNVEUIJXy+nvWRyXa1BIhBEWVg9Rcf/EVjh/eY3z4kKCx9C5Ev6zDGK/VK/Bsx6r0lYJn0zGnxydYa+kOB14brEmh8XR/QRCGBEHYSCfAOdpO810Sh6FRZkEqiQp8FDZKYg4PD+gNBnR0iBaS3tYOMoioypo7L71EUZYcHBx57cTaFw9QSlBWBXmWsVhkdLt9Xv3sZ9m7dpXBzjbbe3vo2Bd7Q2oQyrM95LnmrjcK9LKTa1NRlwXz2YQsW2DLnDrPsFXFZDajqmtqYwilryYrlEIFGh3oJjXALdlMLeivZLsASKT2bGkhhAf928JibWssKA8cuyby1GgdGdOGOJoIaY2tK2+g1BVJqNBOYUzJ6ekxnZ1dOjv76FBTZTNcHXkNNwRSPOkAtWPuaYy6XwT8bc/7vG2Gl7V1Y2H93jYZAsv3hCAMQraH23z7u3/Jq5/9LEIFCG2I4oS0UzIYDrm2v0tZlU2hOItUF5k4VeVlJ8qyZD6bMx6PfQXXYZ+01/XOWagJg4DTkwnZbE6+yMmmU8Ynp8xmU65c2yeOI9Ju16eWtcxE61P1FnmJSnpcf+HFZbZBtzug0/HV2R3nmn/W1hzcv0cca1QQgGuudxmRe3JtW3cSVw29y4ypTY77ZdIQl423p4GncBGgbY95FsBlNaBzGTDdnmv9vU3HrQPimwDyVQP4ad+56d43Xeez9uWzAlC/bO18zz03Ep/lPgRw8PA+2SLj1ssvcvPWDZw1jE5OoK4pioLj4zNfOLXJ4AnCEFNXTMYTcmsZ3LqBSruMzk5QriaO+8uT+zXey8eIppq5c75yuWnS1Zxt2DTtBTXNGkOe5SgdkEQR+XSCThPysqBDD5T2IE5dgQzo9AZsLQp++v2/Yrh7hcn0jCSOlgwB5xyisQ9UI3chfQ6LD3BZfOGYpt8soOPYZ7AkHebTM47f/xE//MafstPvc2X3CkGni4gTFllBWRmuvfAyh48f8faPv8df+1t/h6S3RX9rl/H990kHA/ZefZ3RowdUH35IZzBAas2Xv/6H/MU/+f9QlhlSCXRTgR7n0/LaeaBVSEeXTA7uEe1c44u//XXuv/sehx99xHDQ4/aLd6iFYXR4xPf+xz8mzzNe//Wv8nv/zn/CT//yX/LR22/RTTyjqd/fBms5PTgg7XZwwtLpxljryPMaZwv6gy5hGGNtzZW9bb+Hak0QRbgacAoRd4iiwNeOEI4kSUFFtGbj+jy+DJy8DBBeHce+2Of539rPbXr9PIFLF2zmpxzTtstAyPV7btPN28+sfv6yJlb+7394m1JoSWewTafXZzEe8P477zA6PiCbzxn0UuajM/qDXeI4uQjsOugOhiRJwmIypsjmmNogZJP63mQWlMaQDrfoDHdAKDbAjcvW6XS5efc1ijwjn08ppmM/V4TANiBLHMdNslobMlu5oIbB1RIUfEp6gSsK8iwnW2TkVU1eFhhTk3QGKCEY9DokaUScJKhAe5bUev+tjfELAVA8+qelxCl9PjfcOQjs3Ln+sDO+4FfLEG//nbOfnU/9t23NBYWOI193QYdNseAWurx4javXt/KHJeD7TDvgJ9iGG7zTC3P8aXvxpYD0c9RagoxttGeTxIP1VSPXUFtLVhSoQCMrhXPeHjbWy7FMigLV7xKEmrKs6HY6lEWGlZzLNbkG/HOC2lgovWyDzybwAJB05wXLqqpie2uL6WjSZKj6DNq6NrSZp67xa9t/xliUknQ6XeqG8R6EAb1uFx344pNCCOI4Xvp1YRRQ5r5oZJZlBFrR63TJi4LFfE6ZLXyNm9qQG0OxyDxAHWiKvCCKgoYkVS7T0luA1xjDYrHw6dzNfPPX6Ne6MAyXxfKEEBeO82PqnI2rtV4WxxZNxnEQhuggZL7IsFJz66WXuHb7DoQhtRC+7905qLtaKG6Tvf000HXVDm/P0UpyLMfRp9zT2u/ctM4/yzk2gcmbPrcpm7btj+elVgdstiFq4xntbTv/m0AHMbfufobjwyM6UYAqcoxecDo6ZSe+hqhyemlEr98lCCUIizEOhCfT1cZyenrG0eEhWvjgS4Wj1+uj1YDHZ2N63T5RaVFmjrWWPCvIS4i7EUFDcChM5QlWrpX/aPaPRpZIYbj/s+/TTyKEdYRSYBsdX2gCOkXJ2dmIIAhJ0piyLJjNMh7df0SShowPD4iipMnoFtTGYCq/fk2mM7SEXr9HGHrJBiHkkjkNIJTGtcSsZu5JJIFUCA03XnqJUoXktmBRGWy1oK4MBlCiS5JETOdTrDUMh8PllqKUwtSW+azA4Ig7CcXkhCzL2HvhGh9+8AG9wQ51ltHrDYjCkCzPEc6RFxXzSd5cc0gY1BS2xJqas9GMRV4hbM3o3oc8fP9drr3yKi+8+jnGJ4ccHh5SHR5yOJ2jH5+g8ozawt6tF3n3ze+zs3+Nna0tpHIc3n+b26/9On/93/zbWGu489obyz3Aj6mLhdjPm2gIj5e3T+OjbsYnNm7Pn7p9auawbAROZMO83XRMy5SQShHEiffEmkgopsbhqJ2numtcQ703TQVHgatgMZ3S27nC/o3bVPmCfDbGOgN4p8pXDBWtPdhopzkflXeOIs+QUtDvDQniyFdEVRKlNNiaQPt0NU/f99fsN/w2Ki4uaIO1m4tn4iQMhkMePnzEyfExcZpig4CytvR39yjLgms3bnB8dMTP3/o5Dtjb2WXQ7zMtc05PTyhNyZ0XX+Klu68w3N7x6aqhZ/RKHYBQTcqQXKYyWVN7dnVVe+kN6Y2O2lTeqEhjhr0u+XzG/fffY346IpvN0WHAYGfb912gvXHdpA2YyiwNadEYJr4qrL9XBF6bMtDoIKCuqmWfLJ0+Vhyg5aBo+k8pqrLw7E5r8OEg/08InzqhlaLIMvLZgsnjAyIV47Z3UaHGGkskFSoInzBqn9XIXAerLp6jdeBae3gzMLwpEttG8p6ntslp33TME60JCly/dZvbL9/l2q0XOLj/MT/97vc4Oz1jMp3S7cYMBgN06GVKlFRLo84YQ7bImM3mZIucw8MjgjCiO/CFrYRSBFFIfzBkNhlTZwV1WZHN5xwdHjA+O2N7Z4fB9pC02yGMw6XB5RxYU1MWBaWFVz//eQIVUOUZ7/34x7z/zns4Kfja13+X3nDg0+OqCmwNtmZr5xpWBZ6b77z+0oWqBWttdSysgyObwNBNfb3uSF32TC47/6breFqQZJ2RcBnocNn1rrZN977pXJcFHFb7aJNxfBk49KzXtvo9zyMYfFlzzl02JJ8cN/j05ZODx4RRzMuvv4apK6o8J4ojFuOChw8fM5nM6A56BI2TVdUVBw8eMBrNcVECwLtvvsm1nS0GkVpKMznrQHqWmxCNLELDii2Kgvl8QVlbhv2ul4ZaYba3QK6xPmCahCGjyZjBzWtUh48oFnM6gyG1MNgqx1QGqSMGgwGPD4/Yv/EF7h0+osgWqG5nmb7scEvnSwgBQYI1NcbkOFMhZbAGRtYI4YuJBFGCLi1pGLO7t0fc61Mh0Cpg58oAawWYiuLsmNmDD/jj/+L/wW/+3t8i7Q2ojeD4ow/o7lzh5S/9Ji994TfRQYAVkm6vx9b+NU7u36ecZkRhQRLHxIlPzW+dLaU1ST8hCDWzyYi3Hx8yGY/YGnS5cfs6lS9uwPbONnEg+dE3/jnzecZXvv4H/Prf+rtcffkuP/rzb+DImU1GJEHA3pUddBgQhr7avDWGLFugtWQ0OmNra4sgCAGDc94BPzs+5XQ8pRIKe++AX/nSr3Dt2k102iPt74COsMLTAvz89dlG6+vO6nhcX3s2rXvA0un3bLbNTKqVkzwVZPylaa7dRz55P7n8FJcHbp9mA10KFK4eQ+tMKFCaznCP139tSDadcvDgPsdHB/S39yjy3IPDSwTf/5M6QOmAMOni2uJPpubg/ofUizkEIdv710i7fYTY7G6sQrxSK4b713wWjzXMJxPmkxHZdIxxFVFTeOqTAn3etq3IsiYYPW+y0aKUwbBDuJjhTIWpDNPFHBVHuLkvcJiIhFavcRP4c9lY3nRcs+J5FpFtdGKtxVnlZQZWwKL1wADOsZjNyeYLZBARd7roKCZN0+b4zfe9sV9WgOFNe+2m1y0A+mna6r2v3tf69Tn3/ABMq235vJevLUhJkqRIrQnjiKIwWAcq0Ji6Qmqv45tXNb1uj9c/+zmmsxn3PnwfU1i00oynU9LES/nkRUnS6BPr0DONo+hcrsmYelmQLo1Czxpu/LbpZIp1FlP7sdwWpiuKAmMcZVk1GtCCujYURUGeF9SmLbje1JURjkAr0kbmTSjlC0GHIWVVI5X0c6pqis3VFVVZ+KzBKKIsMkpnfVHbIvdsQCAMNWXzmTAMl/fUgryz2Yw4jpfBr1VgFVjOl1aqQQix1GJOkgRjDKEOqBuyhg4Cb+9kC+I0wTpLWRtqIbn1wovs37yNVQFGCNASiUTaJ5nD7e/L+gqNX7O+FrTXvPp721YB5dX7ulDk8BmCLk9b8y/zPdbPtbq3rhepAy7c/xNj/zmyqTetPeuBv/P+cThX8+ij97HZnDAd0ht2ibTh/v0HyDJjb3eLbidFx95+K4oCayxKB0gtkE4yHG7R6/apyhJrKsq6wtQ1ZVVT65i9u29wdP8eeTXGIgm29rjx4h6PP3jbz1MnEM5ihWxwHgeuLUTprzRKO+jAs+WXRSfdeUC0JThlWc7HHz/mxo1rvrZFEPo91DpMbamVx8qCOMIKialrZtM5x8enVHlG0kkIwtYeOy9qKYRAKEUtBPP5nNl0QWWgrGvyuibpDygWJeODQ5L+gKq2dNIYFWifweM6SKGwBs7OJsRxh04nQYhGY732mUijyRQ1meGMQycxJw/vM0xTqsqgrGUxy9jaaYPHjrTX5dHJx3S6XU7OTtkZ9qlrA1g6SYAdpHTSlO2tLY6PTzh57z0evPMu1hp2bt3mP/w//5/46P0P+dFf/gXlbI4MYl/LJCv5wQ9+yM7OLm987rOo0pLlcxAe4/RZ/nKZXbJp/G0aj08bp+vz/Gnnvfietzf/defpL6Y5fI7JLqnTCHH+XsModsKncIaRTzcN4whMTZ7NqeYzAiEIghBTGhamxEkFtkZLy+mj+3T7Q6QOuP7iZ5iPjimzEUI4pBI4IX2aB84DOjRiwVIQxBGBjhGpJEi8oDSOZQ1GU1WEUdgsjtYLUiPOi6u41pbyFvB5RKOZhEoSdxJ6/Q4Hjx4wGPZRUUBV5PR3dhju7WPKipfuvsz49Iz7H3/M6PiEfr9HXhRsbW/x8t3XePWzrzPY3W3YS12E9E4cePAb2cgx1AZM808AUlDbGhUkuIaJ0O1vkSI5ePSAXnfIy5/5PD95803q6YytTkoQep1foSQuCDB1U/W4eWgCz6xSwgPDQvl/PnLsN1prGoPD+Q6SzUCQopGWoK1o6Rqt5BBb1zi7QGGoMU1fegan0hJnwClNHMVk8wXFYs5ifEwQKjr9ASpKQFik8tqRflx5VvPTgOGnA8JrBnDbAaIZu+7ZJvGy856ztsnJ+USwEMdoOqa3PUSEIaEO6W9vUzVsg7YYhw40aZqSJAlBGCz7v6oqFosF89mco6Nj8rxg//pVBltDoiT2WsO9HjrUZIsF+XyOtcYXqprNSDsd9vb3CKOAMI79mqIUtbNgvI5ZWZZYoamKind+8lc8uPchi7Mx49MzsrrkT44fc/3WTW7euMloMsLUJQrJi5//HCjPHL7QH2tdsc4OvmxBX3/vaZ+9zODaZMRtcrbWj7/setev62nzY9N3rJ5rHZj4JED7svefFcD9Re5902cvY3c/D82tgEuX9cETbBbng6WdbpcwisnrimKxoC4rDo9OmM4zLIJrN24QxjHCwsMH9xmPZxgZEsUpJx/fo6eVL1rVgMd1UwzOSzP54G5VVURRTFXVzOcLpvMFs0VBHAR00rbKeuuEOKz1+4gQoKSAKidJUiZFSaxmBElC0h8SupR8NsIYSxwnJGHIycEBQa9LXizo9XtN/4AS/l/toCoLtq5cobN3lfsfvEc1OcbaGiF9BowAlPLAWF3VRIHGJTH9l14kTWN0GCCrGpONWcxOcEIicXS1pHP7BidHZ/zZP/oHfOF3fpe4NyAfnfLed/6cyXjEcO8KZV5z8OAeD955m+nJYaODHlDmJbNFThgotoYD4jjC2hpTlmipIIzodWG+mNGNQ9IkRFDh5lOU8NlO3U5CIgXvfvtbLM4Oef1Xf4vbr32GG3fv8uidn/Pd/+GP6QQh+zeuokMFztc2UJEmjgPG4wlxnPLo8RFKhaRJxPbOgLOTYwyaIPT9fHpyxA/+6lu43/wqr3/pJYSOm9j5eW6YlE+mxz0V1H2Wse7Og7aXt83khF+61q7zXBrXeSqIe1kfKK03o4NP+Y51wL69PtnMbSEETvoCWd1hTNodcPiox89++EOS4Q6dNEGHEecbYwMsNzC9aKSopA6JuwM+PjjghVdfJ+1tLVmHm5svkJNNZySdFOS5fnDSH9DpD8jnM44+fIu2jkYjXvfEeZxzOGMpi4Ki8Nl589mcME65/dqr2LpicXZGv9tDCIu1higOOT09JblyxafpNmCbUJpWvm1Vcm7pFzRsLr84PpmR1a4zzjV1PNQ5YCwFWCFQAKb2Dn37nBrWtbWWyekIYy2D3R16Wztcv3UHKYPl/T9tCPzrOoei+YInxuAGe3p1PF34e3M/530CNJmbz1NbtzHa+eyLuWmUCIjSDlVdooIIFVZen7dZx6SU1BZqA++++y5nZyPCIEBryIoCISOfbeMczhgy54vTOSkQRYGQkkRrjKmpa4ESvmBrmwXnx6hsiiJajK2XQHJV1VRlTVFUWOOWxfTaoGoQBFR1jmnY7M5ZyjJHNfPQOIuOIoI4oqoq6rqmLGu2t7Y4OTkmikJcXWPrmqoscVWJFhLTSEwpJVFSNKx53x9e09gtfYPp9FzPtaqqC2xdKTVCeHC1rmuiKFqCs7qRemzPF+iAsigII08IM9agg4DB1haLPEMqybQs2dm7ys0XXsaqkFpKEAq3whhu53FbAHDTGFgFeFffbwOlXqPZXmBbroOuLdh22ZhrbdbVPXXdpl/VNl69zk3s5vU9oAWGLwturduVz6P9/OT9yfP1epkt7md0vZjiqhmvvvIS/Z1tsmzBaDRGCMWw36O/NcQiqYxjPp3xwXvvYeqKK/v79HsDojgB1ejwKgkuxGUL5rMZdVUyGz/iL//Zn7Cz3UEJRV1aZuUB97Kfku5sc1bEyNkZobBEcUIQJqQqaK7b73uBDgCBVufZ49ZapPYSb142qQbl2NoaYg08fPCYTjdBKYlUkvFijlWKrCzJpnP6UoMWVKVhMp7QTWL2r+wTNEVUdeC/88Ke4nzR1V6vRxhEjGcZ5TwjCEMWpxM6cUB/K+Xs7BhFTW9rQBJ7ezNJUyyCbLFoxlerp+6BzTgOGXQjnK3Ja4iGfRajU65e2WZre8hktmA6O2MymyAfwO7eLg5BFITgDLPpmFgruqmvYVLVBZ1ORCeNAYGxFcO9PltXd5lOZtz/6AGyqPkf/uE/YjI644XXXuPGi7/DtZt32N67zm/97T/iH/+Dv8c3/+oHvPPRI/6z/8v/FSckaafrCRatnMxTxuG6ffBJY/biZ58tTrt+av/6F5OY+MXAYc4XpAvpzP46WO0iIRUoixYhEFBXJaKuUEGAszWVlZRCsnX9Op1+j9noiPnJIXU259GHb3Pl1kuESUpv7xqLWYKrS5AaqTVCKFxDSxaAdAKFYjodUVc1eWUQViFVSNJJKRYLbFF6RxAuLKB2AwBhbQteNPfs/MaqtWfRdnt9xuMJB48f0+kPwBrKLKPbHzIbj9jev8Jnv/B5KueF65Mk4dbuDi+9/DI3Xn6RqNshiGJfFVWHDRtaIZrJ75ylznNcMadqGNdaByilEVqBNdi69AXonAOt6e/s8t73f0BdLhhuD8jnY1Qc+nQcFPvXb7G1tcPR4wNmx4cEohl4AnTgHWep5FKCAyGamnzufJOUsjFgG1DVnm9a1lpqa6hqy861m8SdHvPpmPHRYxYnx5iGXaKVbmxq/7miKDDWUpua2jqc0hgdkcYxUmlPNhZmGRBYlRiBp7NvVqO1q++1g3ap30w7di+yGtc3zuXEdeL5YC9d0i4zGqDpBSG9k+YMZZnhpGJv/wY4QZUtOHz0kLoqWcwXaCnR0lcqDoJgyWSAhjWc5SzmOUVWMhpNSftdzwAOYoIwRAYhW9s7HD1+gKsrbF0zm06QwAt3XyZNYnSoSLod4k56bgg5cNZQV4ZFluOk4kff+Uvy0Yj56JjxaIoWmhv7+wy2BiRaQpkxTCI+/PiAX//qbxOomMl0RhxFhEHAkq2/AlBsGlurRtt6v64DqZf1//r4vSzKv/6Mnnbc+rmf1i4LCnzazWQdMG7bJobXpvu57DrW5+2z3sfzashe1rwhu+G9DffoWnSt2deUlCjpdQuFs0wnE07PJkip2N+/ytb2DtYaZtMZo7MxldQk3SGzowP6kWYmDJUU1M7gnJd6CELt90fjvz+KYoxxTWqqwxhLkHRYLBbEoUTodqX0xyshMFVF2aR3x4GkrixOxRhTMR2fsshywqRDgILaG7uDXo+PDh9x9cU7FCeHnqGlAw+ES4EJAnScMuimTM5OUUTs3nmVx+8U2HyOsAatmwrkQiwLwikjSeJzxmBtK2QQkmdFU9Hdp8PbJvTdGfQIpnPef/dtXrjzEuP3f4qdjfjw+3/B6XzGw4+PuX11l34nIu7HGGtZFCWV9X0wzRfEYUSSxF6L1FW+wB+WINAkcYwKIIkTbFUjhMZKQVk7Tg6OmM0X1NYyvvcef3H/fXZvvsQXf+dvMLh6B3SCVgZbV9RKUJUFpqoRzjEYDDDGMV+UyEDhBIxGE/rDHlGaMs1qijwjWyyIk5jPfuk3ePVXfgPZpMzJBhhrx9mmebu+ll0WCFtfw1qw4mnHX1zrfvnnt1vW6GjWwKXdsTlg/SxrVgtKwLP1wGX7w8qLC1aM3/scQgfs33qJ7nCP6dkxBw8+pr+107CWFIv5nCjQXgYNeeFiuv0h2/vX6PYHTwWG2/udT0ac3P+IOA5BaRbzuS9UbSzd/oAg1A1b3ZMRVtPUVvdQYwxlXuCaOhvz+Zxuv0+Udok6KYuzUwLldYkd3tbtdjsoB7PphCTZpa4rAhsi5Pk4c9Y1GpCrvs4KYMwG29JflH+9Nh+EvwCfdWf9dV9gGRrD6GxElhfE/T43Xn6F/eu3UeFKX1/4ms12wqa+vqw9zY5Zv7cLYPDaPV/4xHrgGB/WeU5CO09trmGUOATWwdb2DqPDA8I4JC9L8mxGEGj6/T73P/4YYy2z2YI8z4mSmKqqcLWgNr4WTRgGPpO1qbGjhMAhMY18omfTSl84tgGCijxHN1ILAnDGF6+r67qR8fNya1VVNxrDXlLBOEdZ5SwWOVmW+WCIEKRpwmDQo65LtJZ0OilCeZkVIb2/Y63zhU3xjOEoCphOJr54NSCU9CCxdSRN0TqvIaxZLHxxdqXUMlMkirxO5+oe0IKiUnqmZwt+tizj9vi2aGdRFMRxTBiEZPOMPM8JohCtNIssIy8LlNYUxtDb3uXFV17DqRCDl26UDeHIWoew52N2FTxdn2PLNXhtH1tn4q6Dum22kC/+Z5b3uwmAbfVX10Ho9WtaJz605129vk3rfyvLtXrcKi6yeo/r9/HL3lZ9iwvX/MT62GbPOIpsAaZEhz3AIIUjCBQ3b1xnuNWnrkuECnBIqrqm3+9TZBn3P75PJzljd+8KabeLUoqyLCiyjLIsODw44tHjR9y6cYOb1/bpDlLC4Q6mrJifnRKPTphNzjiaTtm6usPRg0O0VuzsbZMkVxpd3vMAQxAEVFWFdV5mgla2pCjJpn5+S2XRgWQ47KC05PTgiNzC/iuv8v5ffIvTx4coJzg+OSEMItJej9FkihGws7NN1E09+QOBc+fzoR0zpllTWn8foTCl5ejoiO2dIb1u18+r2u+QBkFhLMM4QTTSESdnU65c2cWJJqPcghUOoQT9fg8dRYzGM85GJ3SCgDSOyaqSOI7Z3brCuGeZz2fUj0/YvbLN6dkZs7Kmt71LLkMOT0ds9RPipMPp2ZRO2sGZ2muca0i6AbauCBuySTY+4+beNvnDj/hX3/82ve0d7n7uS9x59S5/8+/8Xb79jW9QOBBBRKfbIwgingYJb1onLvXZLozdiybis0y5NsBBYyc5d77f/iLtU2sOtz9XI1rtlTjOBdmXTQoQCgzgHFL6FE7rPE097gwIkgQhJNOzExaTGbX1rNI6n3J6cJ/tqzcJ45ik28eUmS9GIb14PvhKp0aB0ApXKqwIEGmfvesDrt+8ia0rHj38GFuVRFoRNEL3ywWwQdal8uc7B4VaR8hXFje1WVYWxUEQaCSC06Njrl+/SW9QUS4ykm6PdDhECn+/6XBAFMV0ul0GwwFhHBOkCTo4B4Sl0AjVFIcT4ExFlS3IZxOqYuEXACHQQeRF/F2AQVKXFVU252B8Rme4Q5gkdIY9fvydt3BVjXM1SRQQO79xT0djsixne2sbW9WUsxnayyyB9JuFbgT5aQrV6TBErG2ScL4RtlNjdfO0VcH9995muHuFrb1rdF96nb3rGR/8/GfMz46xQi81F9vJY60lzwucEERpj/7OrtdPzgpUGGGFIpBR81gUmza9p43dzczBVabdxUjiJwNMks0Mll++tt5HmxyIc9C7Eb7Hg8MSy9nhIcViQSfp4KzjrTd/yMmj+2C8NEMUxXQ6HcIwJO2kXvNHtBF0Dw7PZjNORyOkUgy3hiRJ3AQfFNu7V6iNIV/MscZQlAXj8Zg8z+hj6fY6dPt9Dyg3xT9sw0TIqpq8qDk5OAQBWVYyOjrBCEfa7bK/c4VOv+eLgCjPAqpMzcuvvMpwdw+kpJOmzbi6GI3/JKd9HRT5xL5d+30doF8fd+3r1ffWAdfLNptN4M2zAjbr71+m67v+2dXrbdtqX64ay5uCE+v9tglcvuyz65+77Hqft+b7q3mxBgistiecFQFhGDGuq6Xj5YCDxwcApGnKjRs3mE+mTKYTzk5OyYoSo0MmJwdsdUKUhMJVpFGCqefgWBaEcc4RBp7VYIyhrqulpiZAEIYUiwlVFRHqi9qAUkJZ5DhT45wjqww3tndJkh73f/pd+hp0XVJNC+JuH5TCCkmYJvS7HQIhmTvJeDpi0O/5e7eSgJBqOuL45IDSCl7+0hXef+snHNx/xNXdLZwFU9cXshqUauVvBIEOmc/nZMWCgoCz8ZxIWKJAEoYRSvi038PTM6bznM//tdcZ9rc5ff/nBBikrQhNzd3XX6UanWApkU0GziAIPaAOaD1AhwpTG4JQY5bSA/75DYe9xqEOqCrDaDpjPl8QJSmTiQcdOmHA/rXrOC2ZPX7IN/7rv8/X/nd/xAuf/1U+/MG/QozOGOzu4oA4jjk7OUVqxZUrexweHjFf5MRaUylBb3sXW5fsSEWU9og6XWpr2b75MjrtAyuFvtbWsk+z3rWv19e0y4737Dt5yfr0fARmL+DY/wusQUum2TOe66nrXmu7P/FMPECsnKTXH/iq485nCGTTEbYqODp4RJ7lvPaFXyFKe83l+HMEYcjNF14CIZsEq/OK3edQtL+usiyYnRwSYrD5whfcqmvKskQpybxcUDWpuWGw9cRe0dqh1nqdVVPX1EXBfDInTTuknS61c0xODqkWBbI2ywLUzvnC1kmaeLBsMqbf71NXNUoFIM4lx3y/NN/ddP8ySOEu3xs3gSrt9RpjyJtrXiXcTKdTskVGpzvg2suvcu3mi2gd4efh5Xvw6vvPahdveu9ptu/Gz/g/PON3sgKsPx9t9fl5YP88U9Y5HxS9evUGx48eE3diVJD5zE98AMDvxQGdTgehAxZZjjEWBCgpsdaRZQW9burPKiRFaVDaz0UfeK1xzpLEEW3aeMv4r+saKcRSp1oIz9StqpK6qrDWMZtnjQRGwnSeIaWm0+nQ7XZ5fHAI+PNkWUYY+sygoixIU00URWxtbXm2X5axs7PDaDQiCgPSOKFWmvlshm78fdcUWW3tsCXI2aT0t3rAQogl0NUCoKt1BLytYS70fSst0QJVrQ65MYbCeZBYSIEBz7hOEhZFDs6SpB1eePllusMtDBqpoga38GiCsYZVn3BTweinBdpW58a6PXYOeJ/P4dXieutzru2Ldp1Y7ZtN5139zvZ86z7v+rp0mTzPKiDd9sNqAb3noT2bvd8CwwKwSwnMKI0RAuJQc/PWdV9U1RgCpQlUQC0Eg+GAXqfD2eExWMHDgwPG0znbg54HQ62hqkuMdcxmCz73uc+RJiHdfheEJjubIZ0lUgHbgy16UU6eFRTTMbs7O3R6CWk3XgYlzwPi58UInQVFW3NDYGs4Ppt6SbNIE0aaKIlQgaafpsxq+PXf/V2kM7z15g/Y3dtntMjYmi6ohWaSFXSTlF5/gLX4zHQRAxJnDcadYyntmqSU8pl7SqCkpd+NiWMNeC3i/rCPwXE2GhOmKYgRw96A+XTGYpEhBMynY8ospNPpIZWXUK2FJopC+r2EyWRMURpKU6FUgIolRkAyGDAvarJ8wYf37jM5PvMydEmBEort61eIlWM0njBZVBydPOLWtSv0Bz3m2RxbltSmINQCa3LufuYlet0uFsFg2OfB/Qe8951v8MO/+pc8enzC3Tc+y3/4f/g/km7tImVjA/B0cpNfL55875PG5VqYdXn+Z95joTVNfqH26cDh9hexIiHRgMNOiPPqfFzsMIRuDEOHlJYoTEi628imsII1NaPjA0aPHzRpqF2ssGgpUaGmmo8RxjN5pJAIpc/TGR0+aqJ8+qSII/Zu3uJOp8vZ6TE/+eEPyMZjep2EKNRey6X2F+g/2kR+rUFY2bAoJELaBviUS+PZ1DWmrJdp9OBlMeazEZPphEFVEllDkeWk3R7SOaIoYWt3Dx2FPpIZ+II0vqCc9MCwDhogrgEn65xsNmY2GlPmGcbVYEEKTRU4nJCEQuJc5SG8QGEWJY8+fJfaOLpb27zxpV/j7Td/hMKwmC0YbG2hsMxPT73DPx1z/c5dqn6fssgRyhcGrPPcLz+yYY0Knx4TiIYl69yStOFWnveqniTWoRDEEkYP73F2eMTtV98gTlNefuOLPLz/EbOTA7I8R5clcRRRVTX5eOwNCueIOymT0xMCDHEU4WyIDHwRhfZbVzfqdSfV/9y84Z6/bsH/1XbRcTl3ClY/u2oMPPP0+d+0bVq0nt68c4hzFEXGX33zGxTzkjt3XyPpdoiCAGssZV0hlKTf74MA43yamw8KeaOwKArquiKMY2rn6Ha7dNKOD0QEmjBN6W9v8fEH75HPF+TTOWenp0xnMzrdlG6vhxMQRmEjNC+XUfeqrrFCEaUdppMpWsBoPGexyLn28otcv36NAJCBRmof8Ih7PSIVcO3GLWSjodmKxG8y0tb78ZOAyUsj1pc8k08Lfq4bqM96vZ/k7K3e+yag9rJrWf25yZjedI+X3eemYy8L7Gya25vuZ/XYZ9lYf9napwG1l+th87otOmqMwQGPHz9eOho3b95kdHbG48ePmowPn44t8oJ+v8vVG9cZj04JakecxMxPxyjl5611jjCMKIvCM6AabcO6AXWKoiQKDGmSLOsUiOUck5S1o7IwmcwYjUaEvR7JcMgXf/NzVMWCw3vvEduCJNCM5gtqBPu3X8CZmmQ85v577/PSF3+F7a0hdVnS6/fBOqbHh5R1BVKytXfVZ7Bcuc6PZjkjNWVnZ4iQ7sKYan+31lHWNWenZ5yenrF952U+95Xf5uG9j5icHnNyNsIWGQQxMkro1pYf//mfkaZd5mcjeoM+aRJTljlf/Mpv8/b3vkN58oC4kzDc2/fSHQ6m4zOwnskbhMEynXf1GUpAS0cgoahqsskcKySTrGD7+k3Ks2N2t7eYzmZUSnLl2g5Hj4/49p/9c37/3/uPiNKYn3zzf6J2x+zs7lKUNcfHpzjhiKKI/f09Pr53Hy2gkjCdL9jf26GqfVX6uD+ku3OVsLvlJbxWAxRrbXXebQoAbQp2XTauV4/1AIdFNkHri9/3fGy8l13lZevQpwH0LgXkm/5ZcvWftn5cci7/nlyyTpxQCKEIQ00Yxjhn6Q12KfM5i8WCoijJ5lOkDuhvbWHKiiIvaJ1ZITSDvf0168oHak7uf4TNZg0449PMPRAcoAON0opUpk3NEX9/F8YJft8p8rwpYlkzHk+QQUjS9XJtwlrODg7pxAnG1QirG3vWsz6l0iRpyvj4BCkFiZDIMGzm4TljGFqwWKyYgQJfpd41TMZzPdL2Gq21IPE+krOeJFVZbNXIxVnjU4Jry3Q0YXI2Jowjdm/c5NbdV1GqAYZp7drzfnSXADzP2i6zLzbto8/aLrNNfN7F8zF3n9qW/e9Zdc4JtnZ3GQyHYCGOE/Iooi5zHh8cYB1NkdbWRpJMpjOyPKObxHQ7KSwyur2u98NqQxBoamOJIj/+irwgjDTWaKqyRGqF1Mqzh4NgyWl31gdxijKnKArKsqKs/J6fFyXT2ZzaWhZ5vlxjwQdJtdZIJeh0U5RURGGI0mo5pqsGDBpuDXn48D5xGPrxB9RViTVeqsWaGgTMZl4uwhrj/V+nkEHgmXttVzbjqwWM2+btfH9NQrAsbhsoL6kjtAfgfLZSThRFFEVFhcFYQ9rt4pyjqHymcm/Q585Ld9nev4bBS0mAQAnlS3M6/1xc418AS0mITQXanmYLX2bDrn5+/ee6BEX7ubYv2teb/I1NAVu4SJJYPabVdG5twdVzr+7VmxjEz1NBuo3tgi+wsiMJ4TXCgaTToS7mVHWF0oqz0zGLRUYShSRxhUpCbG3IZnPm8wVVVbG1NfASbkoRhL6mlZOWqqpx1jGfTIjDLRbzOWHUQbWZKVqjpUIHEXG3RliLDDVBU7zYGovWq9IS52NPrtj6PoMb5mVJZqDKJMNBhzCWaKVxqSKtHW//1V+SSsHVvSuotMPNV/c4ODgiKAqCQDHs9f06XRum2YJaGUINg1QvM4L9eJDLwI0Q+H1VQ9qN0Vr6Gn3WYYRlsNUjTiMOj044zgsm4xnbOzt88be+itKa0eiURZERWkcEaCGphcG5mjgM2d/ZJmsCXWVZYJ0lTEMm0zHf/J/+J77yta9B0mMyv89LL7/IrVvXCXDUGKqyQOGYjsYY6xiNxoR6izROKauC7WGfHQShDnDWsVhMEAp2dnvUZodIKIZX9vnw3gN+8u77HB0c8+L2PtKZc7BzObQ2B4pWwd5n8ec+jc+3/t3tJdgmI8mvn5f74Ze1TycrIXzylJBiKXTfRowvXNzKR1pDSqoAYwxSOaT2ZHVT5zhrWExnmHxOf9hF64ggTEDSpJQESKlQUmGsQyjVAMPtd0qQAcI5VCjpdfyGMDs7YXT4EFXlaGEp8owydwRSoHVAEAUeEA28PIVuInQCSVkYLIU3Y1wb2bWY2tPRy9ogLBRZyWw68/coZbOxgnCWUEeQ9hCxj7qg9bKInp/UYQOgCUyLoVuDq3Ly6QmHjx9T5D7yap1Fy4CkP2D3+g2msxlCKkxdI7SiM9wiTDrU9x/g5nOOP75P1O3z1T/4Gzz+6CNsmZHNp8RpwmD3KvV8Sl0ajh8/4urNWwx295oFE184zlmEcFRlRpXPsWWOtCxTJFeB4FUHsK5rP0aco0agowhZZtRVxns/eZOtvX32rl3n5osvku9foTfc5q3v/iWzxQKlAqIw8hpPVcn05AikIugk1NYhceiGqesrQT7p1Dy5abZDc9VJWv2c//ckeOxHtnPOA6Qb59PzBTKtO92rBs+T4PfKJoSlKDKcqTFVxXh8Rtzr8Mrn3mDryi7f/fa3Gc/m9AZbSK3Rgfap7NpHuOu6ZrFYsJgvODw6Ie11GfYHhIEiCDRhHLK3f5V8kflCdGVJsciYjEY4axkMh+gwoNvrEa5ojTnnlsyI3nCLD955n3fvfcSt23cIopiXrt/h1S//CgeHj9BaNUwhX9hw7/oNwm4fKSO8cvaTz3gVONo0xjY56E8LVqx+ZtMzWW/rAO06W+AyQPqTzr8JuNn0uWc919OO27QhbRprq8esG57roO6m3zfpObfjex1EN8Y0KVrPB/vhQhObnYNNY8UJf7/Web0wWxuKbMHB4wMCFRBKmM/nPPj4Ywhi8qpme/861cFD0kBx/fpV4k7MfBGRRobR0UPiOKTb7+CcNzjqqsIGCS7uc/bogCybI6qSfD4jSFMS6eh0ElRw7mw1Vwy2xmC58ZnPcFOH7O5dobCCk8MDPnz/Az7z2c/yzk/fRAsQShDGCbOzo+ZeHaquCHTCF772dawVKKnBWuq6pK5KskXG9u4uTgYseiNkHHkHtq4IdYhdccaWzpRzFMWCMArY3tlleviID/KCFz/7eX71a7/N6PiU93/yJvPjA+oyI97tEScxVVVCR2HDABd36N0aMtjZ59e//jf5s//m77G/s09/a4fFYk6VZ2jl1yJoxrt1OEOTvmebYnkO5yS1sSRxyO7ONmVVcToe0w00da9HlITEaYCQkukspxIhg26Psqp57ctfYWtrj3/1T/5rivqQbppQ1z6obZ1FhwHDYZ/T8YI7n/08j+99SBJorr14F5l06GztEaZbgPS5MU9Zq9bb09bGS4f2yrrkWUp+Hw6CYOPcb0Gy5619UqCuPebyPfm8PQ3Ua3fvZ2mXBs0cTer8Kg4qGpteIbUk7gUk/lCS1Kej26rCIej2+lhreHTvPeJOn+EFT8rbYrPRCdV8gnCGoq6XIEqUpn5NU41dLSWgl0Hc1X22rusmAF2DdYxGI6q6Ynt7Cx16PUAdBiSJZTFfEIUSoRxYgWxLxgmHCnxB6LOzM4QOsM6SpCkiCJfrhJedYdkn5zQDDxa32XBr3ej3qKbwo3MWW9eYqsSUJQKfPl9VNfNpEyyLE7avXePmK68Sd3qesLJpv940jhrD97J9eKNNQGPfC7EEm59qr7TGtR8My+tYDwItX/M8ztYn22of+vXaeC17pQCfCTs5PvF6vVJRGosMQs9mCyLqqqBCklWG3/693+dzX/gC//S//cfc++hDOkJxcjZl0O+CEwgDOIMNmlozOGxlqbXBiQppDSGR30tcjcXhTIWtK0xZ+AJVEmosaEG+KPCBBYdTBktFvigxBpTSqCBAaIlTUNuKKIy8HGIvodcdUBlLVpfcfPkWk+kJOnCEWlBkc+aLgrPpjMo5DIKbt2+zODzg1gsvU+YZ1cLXk5FCoqQi0DFZloFo92Hv0+mmDo3SARZHlARUZUlVFmgEwhoC5Uli80VGaQxRp4MKI/q7eyRph6TXQytFvsgo8pzKOvav3ebG7ZsMdq5Q6xicz3L2c8o/W2cFUqsLZKfLQJXLUsXX7dX2vU327iowu2rHrgas4WLm3br92x7X2rurkhbr37deg8RaSxAEy2yvTces+wrefn4+bGfnNu+AF0PL9kI/FdkciUQpTSUkQmsCIZHCYp3hbDpnkmUEkwBTVZiiIEpihntbBNoz47WOlvuFdY75bMbt2wH3PrrP8eGEMMyJk5wgDej3B2ilkdo2S6jHiJBeDk5L2ZAqvNb+6vhon1c7PowzCC3Z2upTH48oheT4bMSwm5CkCSoQdKIAHOgo4sbVfc7GI3pb23z1D/8WZZ7zL/74H7NYTHF1RVEWiF6XTiBZzCYkQQfdjLc2iOH98BKUJI5DlOt4ol9RM8/mCKSXhBKCKAq5cXWfjx8ccDobsbM9JDv6mDwv0WFEN4lJk5iToxNMbekPQnSkqcuSJA6wUqCiDqEUBFFAHEsUIV/6tS8wvLLL7bufYXF4xP7uFSpnsAacqwFJp9NlZ5Azmcw5OxmzmOUkaUhRLti7sk0ahZyMTzk5mfDC53+FF15+ieMH97hxOyJNUmoh+PUXfpuv/p1/m2t374JYoQ1zuV/+i4zZy87x7IDx+TqhA/0L77ufChwWnINn6w7/6sJxGWCnlGqKONQYU2BNjTAQKInqpoBFyRAhA5/+LQRSKqRQICSqKZRmz0/uf0iJtYpAhzhnqIocrST7+1fopTHz6ZSyKLGm9sVv8E6is47a1Djjo61xFFFXFitisiwnUh4IrxqHBSmojGU2mVMUFQePDzg8OubqtX36wy3CyIObSvsibmGSgq2bwnLKczmEByaslfhK73gDoMrJxqfMz06YT8bM53OsBZxjPs9Ih0NuXL1KXuQspmNcHRGFnpU1GU0QQjDY2aUuC+JAc++9dzg7PeGlV16hLmP0XHN8csyN13eZnTjEJIOq4ODD9wii0G/ODnQUYpxdAeAtCq/DdM6aWAVaXWMjno+Boiwpa4uQEf8/7v6r25Iku+8Ef2bm+sirI27ozIxUlaVREqgCq4ogFAFCsEn2gIvT6kvM08wXmNUv8zBvs9jTvYZsckAS1UQDBAlUFQooLbJEykgV+upzj3ZhZvNg7uf6PXHOjYgsNFAxlivynuPH3N3c3MTe/733f1vr0s8pnbF36y32792k0V3l/OWrXLz2LK3uKn/5p3/MuHfskiZMc4Q22DQl6rRRUYTnRwjlEg84Jd7MvNBs2aBHmZSuSsVheiIULFZc3RYikCdg8cLrPRllHrRctgjN+qLsD4mg2WjyyU9+iqODYwdsCIGIIjavXOHXLl7kzjvvcuPHP0ZJTRjGZZhJuXEUBUWWo/OC46MjRuMJ/pUrBCtd/CAkarSImy2O9vfQ2RST5fQHfaZpxuraKo04Jooikjh2FrDSC1FrQ5655FjHezt846/+ml/4zOf5yCc/zo2XfwzSZ/3CRfAUk2PnLS+EYnNrm6TRQUvnrV9XbOrlYRmE6/1a1aufWwco5/v3Yd/nBcB6vWXteVTQeL7eo17rYccWAb3v956Lnn3ROQ+73iJlelEW5p/3Un++ZWGC9c9FUWAAXwn6/QGtVhMhBPu3d4hEyDQr6A9H7O0fMZlOmU73iJKYX/vd/4r/8uV/R5xENJstEBD4Hq04ppXENJpNPHXSd0VRMDye0Nq4wGd+83cYjcb81X/8Mn5QsNrt4Es5ywxdGZuqz6Hv02nETA528YOQn777Ns9+9LO8/I2/xPbv89brcOn6B7j/xo9phZa00ERhjJCKVDiZ4eZbb/Np7TyLHAKj8AKFH8aEjXY5t+Fofw9hcoIgwhhLnhfEsfN+nM+d4PsestEgDgyhpxhOJ/zoG1/llR98G2Et+eCYJIpoNmLa7QZSKVTZzzJucbi7S3drm1AK4o0NPvb5L/HdP/9T+kcHtDttPKnQRqOLDI3FVx7T8ZjxaELYaNJIYvIide8T59WodYEfQhCFNJrrWDslarnEGtNJxqjf58h6bF99lnvvvcf/9v/+f/LCxz/Ncx/7Bb74T/+Ar//Rv2f3zi5GG2TgI72Q0STl3IVLTMV9tC44f/48t27eYe3ys6yvbSMDl315foydVZYBmYvWhgcAtNp3pzR7J0r73F7l6j4Zc9jav30vq8ftmWXrYX0vWvgOy/D36oZKKMfnbZklazOZQUlJd2111rLZOpVnTAeHFNkUax13qKo8k5QDkURJcSbE4n1Fl8BwBXA4T64RnW4XPwhAOvlN59pRvDWaDpTFo7O6xrB3UHo+On7XqN0izVL6R0esrK2RVstWUAeInferPdEMyyTNnHq+GThRAbXWoAtNkefYIkMXOUbnFNYglSJNU/rHxwRxxOrWFltPX6e5uo5ALQaGqe2XS+SYenuWvGT3B8epPJPq50Des84/a29edA1R9smTWE6eRSCxaOuMbVJIhCcJkgbWO6bZaLCzt0MUN+inPaIooigMSjpjQNKIuXfnDj/4/vfZv79DHMWkaUbgKfI8R1iLh0V4ijxLsVqgPIVUikmaE0rwrEsujrYUJW2jsQVFkTOZjLG2jOQpMsbjlGmWgnVg0mH/mCzNsUbgeQGeUkSBTxJ4BL6PKcqEkI0mcbOBCnyOR0O6G+uc2zzPy7fuoFSIlQGH42PWz53nE3//V2h0O8RRQhTGWF0gpaC/v8sPv/Nt3nrtNTDOQ68wBco78Tx0IdoOrDTCUTw6Y26BkhLpe9i8IPADjDXOqcP3aXY6tFbXuHTtGtsXLxMmDWTgEwUhSiqyLOO41yNOEqIkxiofrONrroNr1rp7mppRpV7m961Fzgj1z5VMcer6NdlzHoitwvOr3+cdd06MpiXn9JIE0dXfyit4/tz5Z6oA6kUydoXnVOdX131SiijXRIdi2JmXbfXu5zV6UzpA5dZgTIZUHhKFNjnNKKaYpExSwzDVbG6soCZD2qsdgigmjEJU4DkD24wj3GC1i7CTxnL+wjmO+iOyLEPqjFB6eAqUqvTt0pkFiRQOQxKy9MCl8qh3a081vtwrc4YVlzvJpxknjNURgzKCLx2NuHjhPMr3HW2K1UwmE6IoZEOusnfrHX6QTcAL+cBHPkrvcJ/B0TGNc9vkBQz277LeaWMp84zY6r5m1iYpnHHRtVcxHg+5c+ceQkiiKCKOHe2kr5xTmO0XXNhYxY+C2bjN8yk6TxlMU8Jml17/uKToMGij2T885vxT57l96xZb6x06a6s0N9p8QBr2Do64cO0pOtuX2N/ZYWOz46jYpjntTotWO+H8xQ3iXsx7794lTyW9yQRlCra2Anw/YDCZknsNXvjUF9m+fIVrHxpzfLDD3q07nL90hebaFtLz3LuxIEpqobrANa/HLlsv6mXRb2cZZ90eNHfjB8Z+OaRKsUSIKvLv0ffd98U5PN+k6oHOUrxngqZSWAPSgpI+1rfYrEDhOdBPKIT0Z5l9nSuus8pKVT112Z4ydE5IiSyBYWssnvQQYQJ+gFAeUaOF1gaBnYHDRmuydEpRZGR5QTaZkGc5/dGIxkqL0bFm73CHwFMoT5UZXQt2d3bZ2+vRWt+k8HyefvF5rl69xMrmFn7SQIYxMoyxnrPQCOUoLwTS8beULZdViJkp0JMRg4M9ekf72Fzj+xHNpucStOWa8SRzfItByL1bt/A9iyNxdgTeYRBiheB4/wCE436JPAHpkMHhfaJmm7jR4crKOh4B2XCMFwiUtHhKoMicf5AAkWs8IUEXtY2uJuyeAiNMuXGcDDlrLYF0iW5MmgHSLcwSIl9iTMZo/x4/uX+XIGnR7HS4cv06b06G5IV2IdBGg4QgigiiNl4QOydrKcvUg+5fdX+51NLy4PET4a5aTBcDLCfjWs7VecJDahaUByzE4Ba/2QIkkUGIUYKD3V02zm9jZxZNycWrV+kd7NHfu+88EDwPa8FYTZ5l6DxDWRgPhsRxgjcLX/NotVcdgHN4gC5yiiJnNBojpWJlZYUoDGkksUvWUVLH5EVBUWjSac40K5BhyC996df44Mc+RmFSvChEBDHKDzl37gJHUjDs9YgbLZJ2F12GyLoye9CFfVE/Nl+WLfjLLP31UgefF4Ghi4TRZYDxsrbVvQ+WPcfDNq36Peb7YxkQtAwYWnbts8qi564/16J+XHadenmSAOJZ2+1iT4j5utY6rj6JxZOS8XDIm6+/xt37uzz9/Iu8+frrtNsSLwjY2dmh3WjSH4+YpBl+FM8S3xhhaTQaKDHBD8MSsHFrr9EaIQVBBHvvvcbtd27wzIc/irSabrtF4HvO88FzRtAqQUcFsChPEqsQTwmKPMWnIAgUB/dvs9KKmeoUU2ja21c4eO8GjSjm+PCQlZVVd28sk36POzdeJU8naKV4+vkP4imXzNUpAgYhYe/ebWIlZgoo+GWCOVdOBO1y/VMChCTwQpqNhGDikY9HYDXdlYSk1XHe2MZFLujCGdA838fbWKO3f4+v/Id/y+d+6/fZunQFFYTs37tH//CATrdLp5UgSi5dgMl0ynA0YpxmaN0iSWIELhx2OJ6SFQXtJHJciuXelRc5WM3NW3coZML65fPcffs1kiIjCn1+9Bd/ys03X+eXfuMf8cu//Vu89t1vcvP11wk8j+bKOlhN2Ghy5epVbt65y2f/3q9y6cWc1XMXEUFMluXU9cA6SHgm8HPGGnKWkaeugPq+/0D9B9bBJwRbmj2uYEbz8LdRTvX1iV3mkdbmR90DpZBOwbYziYxKW5rNLQRCuTwjlWcq1lJkGXu332Z4tI/vefjSm+kP0nOOILMkWDM5pHZ/a08n3rKWaabpj1OCuEXY6GD9iNE0RQjn/e57HtpYpO9jgcO9PYQuEKJKkOXkz2ZnlUmasrd/yObaKmARwgAhSjnZxoHJlZIskJUmBmhb5mwoQeeqrVaX/K/aYHQx4xIdTycMjgcUuiCMY1rrW5x76jqrmxepcmssCjk/Vaxd/PkhpQ7ZVnB3PTrrrPvVx4ml9KZ8CFAMPLJH+89bqfYJcO/fWMpxqkpgFjrr67z62iscHOZsrG+yv3OfwAsospQ8neArQRwoBqMx9+4cMxoMCXwFVrsw9bFBCcPmWpd8OsZkFk8mSOEj8BjnBdIK8qklCHy0yMmzvBwj2iV0BIRyyVRHk5Tdwx69/gBjBEmUMJmkDIcFWlvCIMD3I+IwIFAKm2dEjahM+C4JGwkyjuhPxjSaTV549ll27u1xtDcmabdYOXeelz7zOTbOn3Ne+tZispyD3R2GwwFvvPIKP335h/hA6HsoAYUpsGhWV1fo9/uALbnlS0BVCQzGgbVlclthBX4YI4AcQILfbrB+7gIvfOjDdDY2sUphkWTWeXXHno/yfFp+gJCSQsDp5OMna+AiL936e5//XJ1Xga51Obt+bP56lRGr8r4EyPP8FH0FnCSKm8/XUbXBWntqns6X6vfZ/Fwgrwtxwt9cfZ9/1noivKrdj2os/rkpAio6yhJaPVnbagZobSxxq0uWGXq7e6ANo/GEwWiEVor25kWe2ziPCnzuvv0Gid8gjiL8IHKUYUo66pg8w1J5oDtw2BMWz1c0W01E2R6hKJMturXD0dO432RlPACMdr9XaJ/vB+WDnTjm2XIPNlajgogkScinx/QGQ9prHZTnqCXyouDO7du0VzqE+EwmU/Is4/7LL7N5boP7B3exwtG9Du/fZ9A7phF4pElMWGImdrbXubk5Gk7wfY8kiUH4+IFHu91EyPP0j4f0egMODg5RSuFHAeeffo6rH/wIWT4gihKSJGYyHjFNJ45aKcsRvs/G5ReQ0xQ9PgSbsn1hm517d3nlRy9zsNrlqeeeIW40GfRHrv88j9/8g3/B//Q//t8Z3N5DYwikT5Q0yIqUAJ9Os8Fqp0XQanM4GuFNp2xsbIBJuXTpCm/c3OPevbucv3yJN998B99TPPXhT+CpCGSFjQgQju99WXmcObJMj5+XuRbp28vvX+nJ4tT3x5m6j0crsaCB8wJkVRY9sCgtN1J6WCoaB40fONDnpF4JPNlqwT3hvDEzYJgyINzO8B2Lo5iQygOrsYUkkApCU24yjsfMdZImto4qotAaa1wSi+ZoxDiDq89c582Xe0SB4wk2FrJpgVQh586ts3bhEh/97Ge5d+smnVaLRqtN1GyC8vGCyLXFwaJgysFEaaHHOutSNmUy7JGOBqSTIaHvI4MYIUB6CqMtQuS0O12IQt57+y33wqRCGDBFARZMJlBJxNb5c+ze04ymGcrznBezhXw8xGuvs7pxjsOdu/gSF2pfbmCyXKzKzgcqylhn0arE8tmGWG009kQAdl5YuFEoBZ4S6MJxskhwVCTWeSMHUmMo6O3c4sZPvo/Nc5JGmzzMiJoNWqsrhM0mKowojEbqAuk5pV+AC5kuX/qDyugJePxgOZkoboE+yyv09PkngPKJEPCk7ZH1sgy4rMD2sqfK/1s0mu76KsaIGb1I+WZBSgrrvLHBJVlQUlLkmkIbsixnMBiSpTmttk9QeuEozydMYkaDAXk6xRpIpylZmuMHAUHg40cBKnAhZkVRILFkWco00xh8tp96nvbmJqCQEn7wnR8wSVM+/QufxvN8RuMhr/74J5zb2mKt3UX4IVVLzwJL5/vlLEte/Tw4nRRivv58nfnzFl2v+r5MUZ9vR91Y97By9hxY3PazNqlH6bd6mQFyZwDp89eq/33YRvmoIPTPcznpv+VAfb1UofjCaIIo5q3XXuPStaf4wu/9PlGcELYavPGjH9LvHXPp/BYbW+f4/vd/wO3b74HnkY3HszXW8xVJK8FYZ5zTeYGnPCg58gMvIWzkDPcP+eFf/hnnV1eJwhDlB26vEw6UlUq5RJJVW6XFUz5eEDKdjPFyzWDQx9qCjQuXOdo/YvedN/jUr/82//Kb32Kt2WB7Y4X+0SFZnqKNIQgk3//jPyTyBYMCQiu4+oEPY8okWLYUYAfHR46nEDsDgkAiJc4LqdwQjNEu2a0FaRwXqGct0vfw4hAlHS9ioQuyonBRTVIhEORZgSkMjXaLwFPs7OzzV//7H/GRX/w8/d4hoTaYwpBOJhSRPwv7n44nZfIrZyyTQuL7HqZMPpTlOZOsIEsLfDWl1WgQRf4ssc/Vy9uM0hwzPsa3mqjbJk5irl9r8tYrN/jKv/03PPOhF7CAHzaImk1WL1xGZ1MwmrX1Fq2ti8Rr28SBX/ILS6JQngJxFsl4Z83ralzW16CzjFqVIlqvs6j+TPF+QhLBuuLA7Pn+PMswt6w4LHIxzHyq7x446azmVQnWluwpLN8vBXNeZ5UhvQJNpeNMHA8GhEkLU2gGh/v0du+ByRynqVJgTpLsSFEmrhInbXHPd9qQUAHDQnkI4+TC7tZFVjfWUZ5HEIcoKbl/5y6kjo9YyVJ+rRw0kCW1i8GfRaaB9QKMb+lNUtqlmBPhov6EqMa18/Kqd3KlOFcc3dbkaG1cpGKezYxQVhvXL8MRx8dHmMLS7HRorm9y8ZnnSTrrLkm1EORFjsXJVRW4vqw86n53Zp3yHo86JkU1Hh9BjrAVivGElQfnq3uWvCjQRjvPcSQb29v85u//Hj/85re4+fobNJpt8izDGksjjplMxkSBQpvQ9a/WZFlGNk3BV1hbJpJLpy7qVEmmWUqOxRMeR0fHxI0ml69eJSsKwmYXkRdcunCBlbUVbr33Nq+98lPSccp0OmXt3Dl+59d/hzBOuH9vhx+9/GNef+11mhtrBL5PkaUUecpgOqHRWiGJAzzP8Z8GYYQXRUyKnP5kxPXnngMDd2/eQaqQa08/y3Mf/SDSl4xGQ378wx/w9htvMOr1GPR6WK0JfY9YOWC4mSSlvmjRGsbjIZ6nSl3ML5PaFqVObx1IJiVpljuALQhJGg1Sa8i0ZmV9k8vPPMP69gVSbUseYYlUCiskqS5515V/sgRap38vk7srMPRR1uc6QLsIxK1TMFTzsgKMq3/1+vVji5I4Oz5z75QXsLV25iG8SKdYpuNUdStaiSrx3fz+u+jYkyRPu73wBMPAnu4ft9w7vMD3Azob51jZ3ObmzbfRWjPK4EOf/QyXnnqO8ajP/bdfRxRTLl+4wNH+DtMiw4opSBdtLYTzrvZ9nyzLsCZz+mYQooKQgAqgK/Gtch2ZjkdYa4hjty7IclxlaYoQgoyIdNjHmILV1S5hGAIKY3IqoNaUXsFoA1I6PdtqgjBABaGjvjGGsBGzs7fHzjRnkqasX32KrbhFGEga7SYKUcrFhrZawQiLF/jOIGYcrVuFn+zvH3P/3h6r3RbpJKbR7uCHAUmjgR8ENBtNut0u02nKZDJF+wG/9Gu/SbPT5tXv/iXjXh9RWOJOG41keLBPno4wacrFq88TRZIb3/4KUgs8adnqxnzyox/klVde5Wt//hXiJOG3/5v/jhc++knuvvcu/cmQzUvn8YVg985t1jfWaDYaZLkgHY9pNTt0u232Do/xlF/ySyfoQnJxc5XNqy/yzAdfYufuPbbOnafd7sze6wwHq2wKtb14GcB7ahw+ImD0uPNrWX13z8e61Kny2JzDyxabs8CD+veZ1UY67wCMmqF1s2vUrTrVjEY45N6eXtirBAczsEA6pUZWQqt03rrCWirKfspwUolFKI2yjurCD0LiZovxpCCIYp598SV85Vz7ZUmCb3SBFJbMOkFx+9IVRyYe+Cg/nNU78XMorW7GgnDLkCkK8vGIybBPOh6CLZCl5dAJ0xopJNJzi5YUiv5oSDYcsr62isCF0Rpr0fm0zFIpONi9TxS6cNC8KEiaDRACawVREnG4v8N0PCD2JUpIZlnAxfy7slBa2hxYeAJ2VRsYFThsXZiBA4xFLSzHIqRASeky0SrpQoaModCawkraq5vs7x0xGhxztHdIq9kiajSIW26BQRusnqINKCEQMoTSI8NZceYnxWmQ6cHJWCm4Dyq7i62vM6y8BkY9UO2JKWctXIvqCBzHuNEanWWMh2OkF/LWjTe5+swzbv6W72M6nuCVHvZCuPAsROXZ6cZaFEWzrMLWuigCLwjp944weU6eFfR6fYbDIZcvXyIMfbClr7ixmDQn05pxliOCmGvPf4Co0eIk/FnzoQ9/zHnDexFWW5f4zvcIG02S9iq2TD7xsP5YZrWrPs8LbvVyFgfufH8/7P1URonRaEyj0TjFLzYPNi/yDpgvlXD64D2Wf19W5g2EZ93z1B4gTnse1683v5ec1Za6kLuIX3jRO3g/gMzfdTn1TmtNXrSGnbwHi8Dw9Ac/wvWXPsjq1iWs8jA25/h4xPD4mO5Kl6euP8M0T0lCn+HhAe3VdY4HhwzHfeIgwJQUFUr6HB8d0+8PCH2ftY11EAZTaMb9AdPRkJXuCn4YIjzlAt2sW0NcAlaXP6DIMlTJO2iNRUqLEhAmDe7ffIfVRoTvBTSSFtN0j+OjfT766c/xn//kT3juYx/j4J0bSKMZZQWt2BJGEUoauoHk5a/9GSoI2L7+fMlBLLj19hv09nYZpZYgxnkKSoG2JTBkT4RdhMAULlu5lMolmMozJmnOaDxBCYmnlIuklwIlFZ7vuPI9P3Ag8WSKn7TZvtzk3Tdf5z/96/+ZUGRsrq/Q6KyU3jwFeZYjPY/JOAUjscJ5TmpjSpnTEEURjSynyHO0H2JUwL2jgctCLQ1JM8EPFEkzAQSeAqsLlNVkowme53G8c4cf/PldNq9e5uN//1doNFfwA59Wq4E2OcYa2l6MCnyqSBuBeSTfvvo8XmYoOmveL8qUXh/L8wavU9dwjJ+P0Mq/22K0BmpJzMryOJ4ls3Pcie7L+1y7Hueus/VlwTHXlIdfTUpFEkXs373NytYFege7pIMeOp0SJ/FsL1OlUi2V8xheFoVYedsWeT4Dh43V9A77DHpDumurjEQOArR1Ca4kDqQVuKRgs3EjnMGr2hMrgCQIAshzjvKMXIUUMsSXAZO0QMiipDczFKXHnxTeDPS01lGwaaOd3JRPXSJro9GF847UWmOygtFwyGg0wo9jPC+ie+4CF55+lrjRwYgT1azypC87/dHe2RJldBnIVf44k+sX1T11vfnrixNpfP44tXlcHnwCZu6D5RSQZw0IF0YtAZ0X4EmU7+P5io996lPs3rnH4eE+zWaTOA4Z9o8J/DKxoPQoco3vK6xW6JJz2lEreGTaYPKCyE/IkUwzzfpGl3/+z//PNNpdGu0uovS2t+Zkz1+/ep1g5RxJGHP+4iVa3Q6eH4BUXHtJ8Om//5tMx1OkcPzdOs/Isgl/9ZU/4zt/9VV8KRDGsBrGxM0mXhiy3zvm+vPPEbea3LjxJgfHB1x59kU+8PEPcnC4xztvvcmNV19lsLdH4vn41rCW+HgywvcUpigYDvtMjqc0mw0sEo2TC9M0nYGdURSVSaoVaTpFG+fU1Wh32dw6z9b5bTqdNkEc8+7NW3S6q2xubZcOK6D8oPRed9RzpnAcxlgxM24hzAwvqJdqj1lEm7DMyaIuSy/LUbIosm3+c112nUVW1Thdq3p1T+Q6KHyW/L5ILq9A33qdRTQWi2T0Rcd+Xosp/1V75awXKnzG2sqGOSteY5WP/Mpv8ZOv/wn9Xo+dt29z8513GB4cYCfHtBoRYeAj8inNKMRqhVDg+X4ZwXyCcVU4yMz7urq3AGsM1gh0YTDaorWlf9xH0KHTbSGUJZum5FnGYDAlubBKb3+PldCtH9ZWhsrT0RvO4dIQhAGZP8YPFMoTCAmeH2ARrK12EcZylB6hheD4cJ/R8ZBnn3mKVrvtjCtoBCALh+M4r2iNNaY06DhHiUajwepqwcHeAZNJSmY0rVbTRQ4qiGKfIPSxtsPR4RH7vQF/+q/+J555+ipBs01vOCZLMwbDY5J2myLLGY7G/MJLH2Lr4iV+8NX/DSU8vLBJoXOSyKd9aZutc5vs7+2Ta81gf5+bb7zO8P4dZDrifDPiO9/5Dp12h/ObGyDg9q1DsmxCnDRYXV9hd/8Ak6ZM0xRthcux0Vxhc/sq00zTSJq0Ox2sFGBP3l1VTslicyVN01lyz1n9JXXnddb5UmFOlfz4tzn3HttzGB5cfM7yCKmOzz94xXWjpHdKOKm8eNyLMDNvi1N6sRBLxQt3LQEln6j0FQZHYyEAYUsBseR5EdJlahXGeacKoOG7ydbd2kZYU3oZeI4HqdR6LRIrPXwvcFzIvkJIrwRVS8CVk76RpcJnjKOzMOkUW2SIyuNWOPoCY8oFXwqscU8cRAFJETAYDMrwNAewxknCZDhFGkNnbZXwXMz9WzdJ0ylZluF7ynl7CY84jukd7BFWocGy5FvlQWqFRcDYKeCp/Fwl9eHUueCyU4NwxCx4nrPm5lk2WxjHgyEr5zr8yu/9Pj/4/nf51l/8Oa12GyUUprBMR2NsbgiiBHztFHLhII8HVZZZS6kA4r+JsmhTfVIApflSn4OVcHAi0Jx4/VbFirmFy8nC9Ho9znU6IAVGgDQwGQ7JxhM6jdDRqJQKkNUnfCPGujHh+x5RGDqhDaecGe0ydYNgOs1cQpoowNmDJCbLyY2bt1Nt6Z6/xLlLl1FhhBGgTIHWBePRkH6/78DgIKKZNDk63CfHsr69Xc7v0sBUhRswZ7xacKz6O5+5t15v2fdlAMoiQHURsFsdazSShWttVWexceNso918ex9Wd9l8eNg8WQSyP4qh4qxj1fFlmZOr/WXZu3qihFxjZp789SbPg2v1ee1kGsXa9hVmxhosttDcefddpFRcvHwJFfg0PUEQeNx+621e/ORn2C2sAySlIMtygjDk6KhHmhWMNByP+85Lr93m4OCQYX9AK45J4njmHVwlFZNKoJSYeegq5SGsi+KR0nnzKimIEKSTCZ1OC5QLZ/X7Hu+98Rpf+r1/xtXnX+DFD36AH339a3z3639JZ20TnxwZ+HhhgLAaOc34/lf+hPZal2Z3A51n/PCvvkbv9i0X5GAC5+lnXJi3EZV3jKNSUoAWztilzUm/Hh4PEGGDfDIljH2iMABjmExTgjwnn47xPc9ldQ8C8r4L9fWkRilNo7POJEuJ0ZjCYIscXWiU56FCH5sXpcHMEPiypGlyyn6r1UIqj/1en9zC2oULhH7AwZ23KfrHbFy8ShCG2DynyDRhFKM8QW4NUezjKwFCkWY5Uejz7a/8KcPDY5558QWuf+QjNFpdgqiBsBJzxta2SMY7yyA0X7/iVKyXswxs9XOr39M0dcCdmwpPFMB0qp9qgNljlcc5Z1ndRcftyV4ILG3for1i8XoNYDFWYHVOOp3ge85wQTHFFBlhFDruwUpeL2V+F8EmmMnw9YRB1s1bXRTkRYE1BmlhPBiRTsasra3Q6rYddZ103K3T6YjQq/JnuEGjqjZbxzPp9gn3zLJUBgNPst5tc3h4xM5owvblK8RJkyyfIqXAiBO6CysFVhtsta5oB1wXRQHa/XUJrfXMkD4ejcjyjDAO6Zy7wMr6edbPXUQFMQjlords2ci/4bLUQPqw8bVkXCyViZeNcytqHtdPTnlA1nMHnR45WwsFCIkXhnzu73+J//gf/j1aOQoBI0YU5AgvJJsMSgBQoo3FIClMgS4MMs3pj6Y0GgnDXBP6Ab/0hS/x8V/6HEHSdFSLMsAKl39H2Cqi1hI0unz0M58D3LURUMAMEBNA1PQpsWT8JCSyDX7lH/0OL3zwA/zHf/f/JQ5D2qvr+FGMFZJms8kHP/wRvvpn/4lhv+8S1tkJeT7i23/5F9x8+y1WGw0udNvoNEN5AZkuyLKMInf0F6FylCO+FIyzzCUb933AhaZb66iwsiwjS1M85Tk+Yiyd1Q0uPn2djfPbxEmDPE1Z37J0V1dJGm0K67yMFbKM/DHOOFS+JYEtOUKZef7NewhXXOfzcuFZ8m09MXtVt/57nVqifm69fgXwzo+xer26oWyRnj5PHXdWqesw88+6aF2o64lPnO5bDfhTxZ6SHRym4Iq0AmkNR7v32bt5k6woyKYjjt96ha0PPE9jrUOj2cAPfHRaIPEwxs1BqRRKOkdHATNvbFtL+JelOWmaESchnpJgnJHzzu37DIZDVlY7hJFXcnEXsz3koHdM85IiDgIajWSGMdlZPqTyySrjvjRYKyi029dHkymrgjLSzRKFgu2tDdZXV9BY3rjxNnG7jfF8hoMBSTPBK/nAjbUILWd7VqOR0GwlDg+TPlEU0e26cXLv3n2sEARegDWWMPQ4ibIR+IFHsxEThT52dMze7g43b91hY2WFdrfDZDLFZjl+EHHU77Nz+x3MeEg+GnB0NGRlrY1SIVrneAo2N1ecN/LBDj944zWevnKZMPKQtmBrfZ2j3jG7+7tkheF4UhAoH+V5rK2v0mw2uL+zSz8rOCoEV576IHGnwzjNCf2AOG64uW/FLLm36+NSjpiPmOJk/uiSMqoODr+/uePuU3/Hj3Mda0/TSjxueV/gcHXjZVbqs5SG+Tq2BIDdZzubzGb2Esp7UdFuUwqzJ+14sE3Wof3CKaUn9hwAi1Alpx0WNVuMHbWE28DcMS+MwRTuFQkHqLp2CiQO8Ky8as0M0C77wlak0aWaZzS6yNF55ryxrCEvDIUGW1KxSSlmLxNA47gFPQ/CyGc6VUynYzzfw+TO80hID2EKjg4O2di+zMrqGof37iGlJI4iLBDEiQObdY7yHP+SNaZMnOcoIc4Ccyplv3rPghOLqLamTFYHxrrQXKdc65m1VkjpQqtwicR0niGKlFe+921E4PP5L/4DpLbsvnUDhSIdTvBK3jmfqATlxYkTOdWHB8PL5yeSrZ20aKw8Ckjlqrhx9SD4t/D0n/tyWrk7LdRUT2iFM6pgITeC5uom555aodltO8Cp0Jg85Z03XiX0BEEUOO9EDVYY8jx3wo8oE0tKgS8lvueEjTCKXCKPEqApioIiy1wySun4mgpdOCNEppFxzMXnn6G7fg6EZDIasH/vNumgz7tvvcPx4T5hIOmsrhDHTaK4SWNtjc98/guEYbMaBTOuoLPef318LKs3L+jVr1kXPBedvwzoXdaWR80QPA+2VOeeBYQuAnPnn2FRvflj80LwvLC8qK31+rA44doywXi+zqMCV09kqe13D7M0V14EQghEyX3mdleN1gUrG2t0r56n3WkznaZ4SrG5vc3k9Xd4+5WfkLQ7BIFPnhcIIWfKU5FPUMYiooSd4wH3Dvs0VrpoL6TRbNNqtii0dp5xxqA8gfJCjHFm3jCJyMaTWpbwiuZB4lnDSism9CWZsfhhSBj4HB7u8e7rr/HShz+BFzX4xBd+lWsf+AhH927z06/9KZ60nL9yBc/3uf/2W0yPenzrz/8Tm+cusXv7DpMjtyaM+gMGyuB12hDbB8Y1sjT4EoCSUKRY67wJt9ZXuXP3PlEQwHREbjRRu8P65aeYjkcc3L6FyN3zmjSb7Y/ab3H9Ix/ixQ9+hK/90R+yu7tHp5EQRCF+nGB0RqPZZDyaOsBEehRZ6kL3pMKU/d9utwnihN7RMcO7t2Frk0/9g1/j3ns32b97B5u65EOTTONJ2Nro4Echm5trLplnq4sImrz3+ps898xTWC9AS59mexU/bCBQboCVSvXC4Tc31ubXuVk/1sdgbazOh+7WS13ZXnS96nfP807uK5+MuW1spUiUkmApG9YFh0VPMm+Us/MA7kPOqQNzy2Q7BC5JYfU+RK19D7v+2S2hAmPzPKWSv4rCJabVWiN8l5PDlnKykGWILbbMMzKT9mfyJ9aegK7WAT6T0ZhBf0jSaNHqdhwdmxAIL0AZ66gitMvPUcmuWtSNhs47EX06LNvi+GQbUcR4MqaYjNBRhERiUMhCY4V1c5WSQ7goXMI5nc4AYaFd0rwsTRkdDxiPRy6pFpp2p01jZY3zT79Ao70Kwj+9b4lqqDxCvy8DYv+Giq393308w3gwe/1zcsP/wW38P7I8KOuVUapF4ZZN6xIyiirPiZA0V1f4/K/+Cn/0b/5Xnrp4kWfPneetN29wdHhElDQcsDua4Hz9BIVxkStSaXrjlGEBaZayfi6inxaIIEELD4OjTVLlFDlJrXICTiNk6ft34k4Drp2VHowQZfyFQCifi1ef4Z/8wX/LX3/lzxG+AiUJlM+lC5e58ZNX2Nvdo9Fu8uzzz/H0M09z46c/ZXzY41xnBWE0WZGDhCzPieMGfhDjex6DQR/pR25fFB7Sc5Gfnuc89V1EqRsjzogoUcpDpwXKj2itrLF+4TJBu00hQHgBflrgN9ukZXSj8GSprICoKByl00MsJQFeaXCRQtZH8iku77q8vEy+mpfrz5qfVaTtWc4gcJqKrrpundKhGn/1PfTUenXGWl/Jb/X7172Ol+khorZOPpGydLmfLCZhcqXcngEwwjAdHfD9r/xHpumUF37xizxtcwav/4Tu1iZh6Tyo0xysRfkSWcpOVfI4ayxFmpb0Kc4ZSgDaOLBYW8Fhr0+r0SAbjbh96w7K89nYXKXZSvB9R1tmtHHexdYi/IC036NV0olV/Mkls33tWdzn6TTlzp175GlBmlnWki5pViCYkCQN8mKC9SFKEoK4yfnRCBG1GfX7SA9M6Llkk9oBU8NBn/EoJcsL2u0WQqiSI9ntp2EY0mm3mGYuB9D+bo8wDlAKNjbXAIOUkCQxxhjiOCYrDJEHl7e3mEwzbt26SxzFtBoNrn/oYzz7wQ8jhWLlwou89t1vMBiM6aw08TyFtU6W8D2fZiMhVRM2ZBsRSHqTMaMsI2o2iaY59/cOkFGE9BWR79FsNvGigOsf+hD562/xq7/8RS499RxeGDNNU1qtNp7yXWK90smz3rcVplTXweaT1yeJi+Sr9sGz1omF80qALRP/zaL7H6EsxiLeP0b1vjiHFynei4T6Rec9KiDifj7dqZYacFF7cYuu58IOa5Bw1Utizut4dp5EqLDksrOAQWGx1j/V5gdBtfI74ELgKwutRRiH/BpdOG7jNCObTpwQKSwy8NGTSQkwu2VMClUq8hYhLSrwSkXbI4oiRqMxSnqEccThzh6dlTWmg0OywRH3bmo6nS6D0YiVTgdfeuRWsnFum9GgTzAjvXecwzPeNCEXbkL1DWr2TzsumlP9KgXY2kZY406SUlFog5AKnecIYUkzpyTEgccPvvkNLlx9ik98/pf5DgahczzPLSZe4OFHCZ4XIXBCkZtwlYJ1enydfJ69kQXj6mzArt4Hy8ao87StGSKegDIP+C0qpwSL2vEiz2l0O2ydv4hQPla6hcumU376ve+SDo4JPUUQRcg4Is+cJ3CaZRhrygSHjhRQeD4qTJB+iPJCPE9BaRjRRiM8iZm4BJG0E9JMIHzFuSuX2bx8BS8IwRj279/h5uuvMT0+YtQbMElTGlHEykqLRiNC+j5+ErO+eY4gSE7AsnlQiAcByfm+qMqieot4MucV+/pvy65dr7MIRJm/x1ntnH+uReDvwwDGs77PH18EJNfr1IGf+XMXgc2Pe/1l38+aw08SeOzeIU7eeIig8eActi47M1BYie+HvPDBDzDav086HVNkKanWdLttsktb9IZjzq9tYLXF9z2QHlob2t0OYRwxHIwYjEaoZptrL7zE6uYar33n2zCZoHVWGj1Ter1j4jghCNz5QkoGx0M86eMpgZ3xllnCKMYzGmNd5IyyjmpC+QHF0TF/9of/ins3b/LLv/m7xM0WG9sXyEeD0jqvGBwdoIKQRqfDeDzizhuv8d5PfspKp00YKAh8/E6L48ERga9QQUg7DJwnUWk8RnroLGU8zRmkhm67iZIWawokBZfOrzuaCQ15oZkc7fH67dtcevZFrrz4ESajIWjNaDQkHR4RBiEvfPKXuPzsSwip+OLv/Z/4wV/+Z+6+9jJJIEjaXUJfoa0maSSMRgck7RWOdu4QN0c0mm2kdEnnijTHw2OlmaB0Qe/Oe7wlDJMsw/dAa4VQAVvXL/POj35EURR0G13HxWoF1hgazYRnty9y794uV1/4MEmrjbRgZ3v/crBn2RpzlrxXnbfMeFb/nOe5S6C4gPKmfr9T6+/PIPT+bZZT6xkP9vKyR1iqsD/CfcoTH3q9utFxJhOVAN7D3u18OVXfVkprCaIJx1WYJA3GZaJKIcQpxXbmfFB+tjNezRN+ziKvEm85wCfPc4bDIX4U0e50UZ6PwWCForO2zt7d286wnOdYnYMp21UlvisTZp6Uk7FnrFPQptOpS6wpDOPeHuuXnqLdXeHo9jtIYREUWJ1hbIEpnFezNRqJReeadDJlOBxydHTEuD8gCEOi9Zi19Q3CzjprF64Rd9YchLHAaLLs3T1QznpPc6Ds0utUxxdplGdc/8FfKsV4TmZZIl8+icXiouF0+YyelEiHRrnuFhLhKc6d3+a3fv8f8yd/9GW6a5ugQrTzcWU4mFBoS1YYCgup1hS6YHg8RSP4+Cc/xX/9z/+A8xe28eMIFYRY6VFoQ6Rk6VnOTPcSwpSc2gZdGhirKoJZhpBSkS6cLlzqsbY0Tm6cu8ALL32It2+8ShjGeEimwyHv3rrJ+voa1194nqNej2/8xVeZDkdIXQIj0nORJ0pApim0ZTweo7VBKYm1kiiOEcrRuilPkhc5UsoyKZqbk3EUo5RAG/C8gEZ3hYtXrxK3mgyzDBVEBL6itbpOWhQoT2KtwZOyDAEvu0QA0skZDkAvdX9bOnfNyaLL9ML59W9edq571tavVz93ngu4Pp+X0edUvy26fwUML1vT5+XsRfL3sqST8ziAEOIUd/KTVCpv8ZNyur8qw2RtF2I0GjAZTVi7eI1nXvwIO7deRa508EMfXRQIbUE7xyekIGokJRQhUJ7HZDyhKAzT6ZjA8wjiCOEJKAReIIl0Tp5Z9vePmfZ7JElC3Gg4b12/oi61s0iULMsQQjHpHxC1G1jhxrQ1Gm2KGUArpUTg5n8chqyttDnujUBK9nf3yKcxK902ypMkcez4kAuDTTNi5bG7t4NEkjTb+J5Hkbm5meUpo+GYw8NjVla7LsG0rDzmXVJqYS1REtFpdwgLuHPvDvZglwsXtilyi1IaYzS+8mg3k5IKyoLwiWIfL2nS3bxAP5tw/tp1Vi9eY/PSFQyC7oULrF05x9f/8N8ShhFCKSZpwc7tu5zb2iJuxERxRBSFeBKMBCUMnVZCEif0tKTdaXPnzVf5xKc/SRApVNQkn4y59twHGEwycm0JpKTdas7WQ1EbLw/IbAvm2+l1o9pHT+rU654akQvmsIM+RYnLPdJQf6CVD64pj7/jPhY4PK981sGMZcmUFoEZZykW9Wsu68hli/Gi9i66x+IFsfwuKT+7UDRRef5aylCv8t5WgKjx9gCOxbgUjk2BKTKsLcPgsimT0ZAsTctM72qWdVJK5ympVJXkAirrUBgEaGPQeUEQRWR5ztHBAZ1OhyC27Kd3CTyB0Jbh3i63371BFAe0uh1yJWitr6M8wXHvgNhTtfd4AsAvKvVM0NbaE28wxIxOQgg3iVRpZan4hCvGQsfhpnGZnp1qZPKi9Jx2z5kdH/PK937AZ77wRT76yc/y5g+/OwvT8OMWQdJGqKDslcXjpfYNqML9Fk+GRWP0wevMai+8xumxs7DKz115VNCsVgkEFFozTVMyrcFTMwMLxvAX/+XPOd69z7XtbabjKflhj+evXuPu2++hipximjIZjckmGQeHh+B5vPSJT7J18SJ5rp11TFhc6IkgjkOSVkKWThhPUnYO+ly8/ixPPf8i7dUVQDAa9Ln91g169++SDvqMh0OsVHTObSKVJG4lKE8RtzpsXLpGo7PmPC1qa9dZANvZRoHFY6fev4vWnGUCWCW01ZX0ZYLio9x7vv5ZQu5825atw2edu+j+Z3kpL7rPw8bio4Dhj2LsmL/fo4IePw9lBt45C8f7BrWlcNz5KozwowjPEwzyKePphDzXnNs+z2qezcDk4Whagi5OrYyTBsLCeDhk3O9x69WfcOc1jckyPKDf16RZymQ6xRhNu+2XYI4gyzJG44zAz/FbySyqpNpbhCppHXSBtI6LWFtLnmdsr3W5//Yb/Okf/mt+9Xd+n7jTxYsjbJlcSgrHk+gHPs12m0Z/SBGAwSXka7ZaTEYjVCCZTKaMxiPCMKLRSCi0c/uSUqKxaOMS1B4dHtKKfZQnkZ6PKTTKE3i+IigT5WRpwVsvf5coUnieTxBE+EmD0Gp6e8f89AffQ2u4cPUaYavDJ/7Bb3Hn2jW+8SdfRqaGuLNKrnO8EDQa2Ujw4gajXh9jFFHs4UkXqm6FwQ88Ot0mYRwgdUpoC0xuMbaAqaVIM9qbm/SOdinSCcqPsXisbW7Q3XTGu4tPP0MUN1A4z21n5qwZDllOXbPIuLOsLJtji9akukfwo2RDn137SZjCy57lUfbgWnnsOf8I69uivapSTB63nFKSAKx0sqHvEufoIqXAEMQt0sExusid8cnivKyUcDK1KZP+yjLk2taSzxmD9APwJcVwwKg/QHmKpNVGKA8rPaxSGCHJplPSwaCUu0dk4wl5CS4HofPQ9X0f31cl/Y1CBV4JUoHJCybjMXnuvPuFLZj0+9zVFnP+Ano8xXh2BoLqKkoKyihBw2AwpH90xGQ8xQrBytYmnZUVGq0O3XOXWN08h/BC6t5Botaf9XdU7+MlL7OqdOr92rlji09dANpae+b0OjW/569ffa+B0rOxVsrmTxrrcH2unMhWEihAgrYWq3A5pkTpsYVEeQEXrzzFF371N0gnEy4ZQaotm6urnL9wiX6/z7e+/R3Gkwm98RjhKz7+C5/gH/zD3+ATn/oUURgghXBgr3AAtC8ktnB7pq0cqKTTfVzEpi2jNMtEZSVNCVBSKuVM00HJiZ2XuWsKhsMR49GY8WBAM2kiEfT7x9y6/R7tdpNG6PP2qz+lf3RM4HkoY9HS9YkfBkgjHX2UZzBZijAZseczzTN8P0RKj0Jrkmab8WiAH0SuL4UjGbG6wFcKqXwynSODgCCO8MIAC3hCYIsCKQTFdEyW53S6K45WwjigT4oqUqoEB2t6ozangdU6+DkP+laf571z5zGPui5Rz39Rv0b9+8P2xPn7z9epcxHPX3Pe6Poo+3VljK1TPs2D2vO6yTID7s9bERZnsCmLteUz1Nal0lICuOjv9vkrfOYf/j5Jq8P+/dtMDvforLZcAmLrDB6D/oD+YEgQBFy8fIkgDKhW7iiOGeY5o+GQQnluDIchnu+TZylBLmnEMTt3b9OMQ8IoJGm0CCKfCn83eUGWZmhtGY9z8vGYqF3y8+N0byldxG35UG5MGgdcKwlbm2s0GwmTScp4MmUwGHJzMGArz9laX8MLg3LOZQgM09GIZruNH4Una5dQpL0h06mjQ4t9jyB0CSuN1W49ki6XbJZn7O/tcOveLs+8+CL58RErK6suB5EtjTFCUNgCKwT7B0cMh2N8TxJ3Vmi0Q1pRi9d/8hr/5HNfwgqJLibcevVVbrz8XbqNiEYSYiT4notO7h0dIz1JEieO/tUaWs2IRiNGegFZYfnJf/oq7bjJ+fPrbFzYRrY69AZT7u3c5tOf/zyr57fxfWe0OhkjJ2ZiUY6Vs3TM+Xn3s5aqDY4m5NGud/q2NTzzZyiPBQ4vA30XgRP1c5YBxA+7x+O2axHw/ChgwimrYTksbMUDfOo+4MgeXOfbMnlMdQ2BwBQ5tsjQeQ5GY0yBLnLyNCWfTinyDCkcR1leFM4SI057oVbA8GzDEQo/iBj2+4RJgtEFveMjxGDoBFsBWZZTFDlRMyHpdonbXaJGk/bKCgc7d1EmB+GhAq/kV3pwA6mSfRhjKMrrGV1BvS4xnS50aX12i6rBWblcn1kKo5GeovLwABfSYnSB0QXpeEI6njjwOc+Jg4CdG2/wSrfNCx/5CCtb5ylGPYTyCMLEearOvc+Kz/LBiVO+F+sAx9MT5OGg23KAuD7O55XXJ0fIPUvReGAuCwEl3cjBwQHt1TUELtGDwDkCX772FPLyZe6+8zaxH+B5PoPjAZPBCJXnTCdDxpMxO7t7DKZjXvrYL7B+8SI2DPEDhbQWbI4QDiDwPI+VtS6eUKiwwXMf+xjXnn8e5SnS6Zi7777N4b175KMR+7t3ydKUIG7QaCa0VtoEQYjIC5rdDTYvXcZvNjFI55kvljwnD65rj9qP1RhfJMjNH6vXq8bdojDq+XbNt/dR2rpIWFz0rPW2LfIMeLT5cXZ/zIPU9ePzCtd8/1RlkeGxLhifZUicF6Cr9eNJA4gfpSx9JiHcvBUOeAmTFvs33+bdG2+i04njAUbQiGOEdfQIuzsHTCYZWWbZvnAeYy17e3scHfYwxqKwxKQ0mw209ukPhhz2jhiPxjQaTVZX1mg2EwDyvOB4OEUFIXmek1sIax4zWjuF9rSnvDuexAmtVhOMoHfnHf7jv/qX/MY/+xc0Wh2M9JF+gPJ8dJGD79Pudjk+OuKoPyGIE6LYgcPNZoPhsYfXH3Lc62M1gHXc5liE1SjPR3mazc1V7r7zHp7NCYKAMIzwfUWeZ2AL/CAgTGLirCDwJUkSETda+FGMUB5SF/T6I6bHPf7yj/5XNi5f4/KzL/LiRz/Opec+RJprXvvm1+kPR1gsnrVIFML4PPOhX+De7bc57A1oFIrVbhMjDIf9IXEY0GnEeL6HReB5LkFlpguO9nsc3L7NM5/4OLvv+IwP9yDXGAMHb77DQCs+eflZGo0mSvqOysdWxrkH50h9vi2igajqPXTswZnrG5wk9qmSgi1a6x64Jk/Gzmtm/QjzLX5Yf9XrLF3rf4a2Pc7696hGvPn9THk+QZxQFCnZZEKru8rwcJciTx3vtlIYaygK511UcX8KUwN1SpkUXBRT2GgyRTEtDM3uCquXnyKMEvwgYDoasH+4z9HuDrbISccTDvf2mYxGtb3oZJwpAX7gE/g+UkqU58KATen4EccxYegSKSdJQq4z+vv38au4xKpLjMFqQ5ZljIcDRpMphRHkRrC6sUGzmeDFMc3VTVbPXXROD3Uwal4+FWcFQy98QYvPs8vH3Ps1Mr6fcmocixOZ+kkqpyIb7Ilh/4G5ISq+aOeJb63h2rPXsYUmezoFIbn77nu8/dZbHPV6jIuMD3/iF/jUZz/Lxz75CeIkQYWhy/shrPNDAioPYVXJQ5YSAT3xwpdCgjX4RjtatqxA+QFZmjOeTLn59lu89eYbvPH6T9BFhtXGJSVtNllbW3dOR56iGQYcHh5S5BndpIGPIB8MKdKMWAhkkZNmGbLsj+kogzJhq7GWggLhCay0+ELRbMYUWiN9XGK+MEQIQaG1C6XPc6QQRHFEYcBH0G63uXTtGs1Wm3SaYkq9OC1cUshmq1WqoXb2TqrBf2JsOQn7lvLEW7YqswTrLAdlF8mpdTmyXoqiOHWeUuqUl+789U6GzIPgcR2Mrd930b67TE+o/1ZPZl1PfFf1wTw4Ps+HXJT9vihp389jmV/dZv1W65OZedw6d0BlodFM6B/eQ+mMticockEoffb3dukPBuRFzkpnhVanTRhGWGuQZRJVhCRuOJn1YGcXFfoIa1xOnOmUQhsm2mKkz2GvRxiFxM2mk9GF88KdTqb0+wOyvOC4P8QUGTpPKfIAS47nSWzgOV4Z7d5/URQMR1OMAeU5h8Oo2SBptehqy+FBn6PRiJ2DY5Ty8JWl2emircTECX6jBcLDlvEFvu9zdHhIPys4/8IHOe7t0z/YJexP6K40qhzwWGsYjYbceu8eMvR58cXrvPfOW/hKsbKyQrMRk+ceg8mYosjpdNtgDWGUMEkN/eMBveF9zK07eEqxsrXNeHBMOh7zra/8CcN7N1ltx3RWOs5RM7dEwmdtfZXD/UPG4wKkBjRKOhrKItPIQCO8gOeef4aVjYtsPnWV1pWnaXQ3md68zWe+sM3GxUsO47MCa2syF6Wt1Z6eR4vwxdk5j6hrL5KjFp+zXLefl6dPtQM7o6mdv/bj7vePBw5zNiY9b1Wbb/yjCqMPAyIWWdrqi+DDAIP5804tuLb+nHPWc2GdhcK4rLJYl9NRSOUEyjynyFKy8RCdp+Vm5DjHjDYIU/JSCes4TYSjXbDYmWW3aoesTDJYR0shoLu1xdH+AUGU4Hk+RZphy8RLUauJUBLPD1BJg5XNLaIoYuf2LXQ6Bq0pgFCGDwyc+iaktSbPc4osR5d/szSlPxi4vjGaMAgQyiXf8f3AJZyTCl2G+1ntNh+tNc6g7cBwXRRMJ2NGowFploGUbGys0Ww0GR7c5+bbb3L+wgX27mriZgs/jMp3dBJyaC2neJlPv8vqHdetgieKmRBy9r3eBzPZ4gEFzj4wdiuezCcZV3qY8QRK5Vs4i9/a+jqdlZUTRciCrxQvfOAlMJoLly/RP+4xTTPGwwm5sUyLgpt3HYB7/sJl/t7HP87a9jZIlyhDlquvNW4uWCHxgoS1jYSrz62yceEiKow42t3h4O5t0sGA0XhAv9dzQJcKaK22iKKIZrOFEhAnEUnSYf3CFccXXq0LPMg7Va0RlYD0qIaker+dtdguW38eBUR52LH5384CcJd9n9/o6r/PC8GL7vsoa/micbbs3Pm1qCqL2nHWvc8CU6prPWkhcieK4PtX5q0QCFwY7P7+ES9/+7v4ShL4Cg1k6ZTRcESjEYF0vGXTaYE5PKa7ssJ4PGZn94Cos0IjikiP91ndXKOzuspkNEJIUXKKdZFS0Wg0XFILbRlNM4TyEUIRBALpB2XSDKjWWF0qHqKSyjBEUUicNFC+Rz6e0I0jjvfu8bU//jJf+u1/jN9YoUAShCGZKcimE5Tv0263OOyNEEisNvhSYK2i3e3iewFRGDEcjh0P3CwxqwUpiZOEwWBAe3Wd0fEeOk+dN5MfEIYhRZFhdEEUNbBtMEWEUJIszzBYlB8w6PWZphk+A9YbAd7wkO//6ZfZe/cGH/rcF3jqhRe59earHL13g3a7xd5RHy9u89KnPkuRpeR5huA+yqRYIZlmBVYFHB4N8FE0GhG5ycnzjMD3UfikuGilV773ffq791lpJGjPECYNXvrYR3nmw58kbHQRUgEGI8AKdWojWyZILpKbHjpe577Pg4aL6s+H3555/Sdu/z1Lcj7jrLoyMPebA4we3hG2EnhmCvHZreQR9pFFx+b3lOqdJytdssmAbDSi0eoQtlcYHu7OwsqtsWXCSmcQqihG4DRnpxQSYSzHe/uErS7nr62yfn4bIVzynN17txn1+8QNFzabTVOOD53Byvc8wjCcUdG47nCUbwiHK+mSy9h5FPskSUIURSAcF6q1Fl95yCLDKIXOnFE1DAIyrRkNBhwfHDIajQmShO7GFmEcE0QJcbNFe32dpN3FysrTzGkYLvJ9ztNvwbs53d9LxpM92+P3dNVH9F5/mMBb/v7A9Wrj7eT4z76X/V2VU+vSHEhY/X6ig5Tp1Ks+cYoLQRRirOXdO7dIraZQ8H/5v/1feeb551G+85A11jre7TJvi9Xur84d0GtKINUYS54XBGFwskaYguHRIW/86Ifs3L7L3v4BINnfO+Bwb49Br4fAsrW+RrfbIYwTfF8RhgEd38PPpthUk6UKPR7SSBr4wKQ/AlwEkBKWzGQloCjR1vF2K1+S5wVGCbTyCMMYYQxxFDrDjxRoXRDHEQZneDHjMYV2tBK+pxwloRUOANaG3MI4zeiutjnsHZMXmq2NdYIwwBhLmrpcNkKqU5hDvSyTBedB1UX7VPV+l2EHVaLVCmStg7zLsI95oLfelkV0EXXjaf1ZFsmxDwOc55+/KsscROrtrRJsPSmew/NPPT82jDHYWaS4LNcrS9xZZTrukfWOSLOUwA842Ntj0D8GC5sr67Q7XfwoQGMYDvtIJFHikoZPp9OSQ18xGIyYpBlFXlAIxUHvGDuZshJ7jGTC3t4ea2trqJJmPwpDVODTXlunyDKSuMF+r8fe8YiWkQRBThiGSNkgDAOsrIynsLd/gO/H+IEiafgoYTG4/XTr0ibBQZ/+tEty7hz9/V1+4Rd/BeGF3Lt9k2c+1uAv/ujfu8gEP+DwqMdxf8g019x/7y2a3S4rFy+RjYbotMALFRq3Z+d5zubGBt31VYSwhFLy7s3bvP32WwS+pDcYkWYFWW5I2l2kLeh0GngeRKFkNJ5Q5Jo0zTk+3ONf/T/+R85tnieSKZevbBMFPjpNSacZRa5pNj06naZztkQQRhE6nxJFHtk0ZZpmpMMhQvn4fsxLn/sS69sXkFaTFVM2N1eJgqbji65squX/rH24lObG0fLfftbyMJzgUe47P59P8K5Hb8fjcQ5bu7DjzgJd54//LOVRuUHrx+sL7SIL4IIzy5DXBcKTdZyI1howDuzUCFBgdUE2GpCOR+TpBE+IORJ4N+qkFDNQeB6oOAWQWIsUztoppCDLNfk05cLlK2hjGA37TMYj0KCkciH1jQZJe5UgDhkMjrl/+yahMPiNBul0SlaGENXuOPv/jCtY69m/Ii8Y9I4ZDgZYypAWKZlMJxRFTl5oPOURxRGtdpsgjBzQB+giR4ry2kWZlGM6Jc8zR9KuJHHSYGPzHO12l0KAnozo9w7pbmzRaLYQfjQP887eixsL8+/c1XHvfF6QPl3vpM48mFRNymXj7InTSoHFwkm9LAOMKx68NM1IgpiKIKSy0gulaK2s0eh0XWIXLOnVq1hj2LhyCSU9Ll25ivT8khPMloK1u4SREhUndLa2CPyQpNVlPBzx2g9eZvfmLYpsTBgo55EgAaNJwpgw6eAHAZ7vI32PqNVkZes8rZVNPD+inkirLszUDSF5niNq83ResZ3vj2Vg7FnGqrqAN1+vEvrOAk7m39+8QDn/XIve6Vltr35bJHieJQTOr6XzbZt/znnAuV5vHoiaBxfqG92ic5e9g/kyL3j/rPvR31axlSn4Ic09W5iwuKgzix+4JHGjYZ+RErTWNljZ3CQMFUJC0GgQJzFZPqYoMm6/d5NRmhK0V7l07RnefPm7bG+u0l5ZA2uI4hipFNPRCGssQRBgrcWYArQmywuSbpNsOCRutZHSw6WRccKlsRatLVpP8b0QqRzXaKfbQiAJooi+AG0Kmjbmzluv8YNv/yUf+swvIosxh7ffIUQwmU7AahqNNs3omMJUMHOB9EJ8a/E7LfzAJ2kmhGFQ8iFaEAopwEwneDpnkhZsXn+WO2/eoDjs0UgSkmZMkMRIK0inY3zPZYKfZhOmBUwGU6aDAda4/VOh6a5uEgQBeZ5z/42fcPvdt/j8b/0+n/zCr/In/8tddu7vsX71aT77a7/N3Xff4ZW//i94OicIIjqbHZS0KCshy8knOUeiT7PdJAo8ipLTvd87otCSPNek+3d58QPPcvHyU3hRE+35dLcvEXRXkRXtlXAJabUuTmVUro+jak4tovA6S346BWbW5vvDBN3HmYuurqHOEfvzWk5kicczSC2UoRcJPEuAu/k+F1X96lLldyeaVq4QCxsyA8LcnF4MIlSgstYaVY4pIRz4GYYJcXuF8XDAeNjn/NWn6Lea3H/7TYTWSM+FzrsEmAIhXJi38rwyR6Ibt9ZappMxk8mU3FjWN89x7+Y7HO7tEAchAH6UEDUaHO3ukOUp2miCwCdpxAhwwG8Y4PklAC1KsMOCp5wxXAhZOjycGCuq7PNVbgQpcNF/FGAFh7u7HB/1MNrQ6rRZ2TpPY3WdpLVCZ20DGTiZxNG2wCw3yQKA6KTvlxhRT9Wp6wxL5tDcOWfNRwEz3umTl1vzplh0nQX7+Pw1698eHb7++SnVu6kDwUpKjFQnHpazue765dat2wyGA65fv+7WWWERniLVBdMixyjJv/gf/geefekDICRmluBQoqxmOhrwzrs3yCdjBr0ezSR2YeuDIe1Om9u3bjGepHz8U59iZXWVLE25d+sm3/vWN7j1xhtIISm0Jc80R0c9TKEJBDTiiFCC0AW+jPCFJFACm6cIodBFzu5hH+VHGAH7R0dYFFhBnucYNCpQaAt5llEYQ5blCKkIAn/m2asjRSAlifRBQxh4pOkUU9I7uMigmCxLXbdpTZbl5Ag836e7vsbW+W28KGY0maA8jzhOsAiKwnnpCymRyndqBY6OcH49rMufdSqIag7My/91Gbk6Z56bvX7evEx7aozUvGwrfuWqLNsnqzV2vp2L1t1lMvoi/WUeCK/Or3CIB9afufH/JJa6fuX2o3LNrf6W+5+xGiuko21AYKwgy1MGvSO6jRbDox7j8ZT1zS1Wts6hfM/ROxQ5QgtyrZlO+hTWcnw8IE0ziswQGEM+GKKLgtFwQK93wOWLF1hdWyFJCzqdDs1mEz8QFDqlP+ihPI9WZx1PKqajMWmeMUozciOhgOlkgEAQBNGpCPN2u8X9+/ulXNuknSQuqV2hQaZIUWCLnPdef5Pe7h7T9I9prK7hS8H2tcsEzYi8yBkdp+weHeH5HpGCxBeIcZ/pUNNutRCeJC2mBJ7Lh9VuN3BexzlYQWelwwuNJl/9+l9z56DPytoGk8N9kkjiCY3OM4QQdFoNVrodQDKeTHn1tbcYD4eEnuRW/5hnn3sKTyryLEciSfOC3nGfuNkijEKajQZH05zDgwM6rQaNZpso0vj+mOFoQq83gMYKq1ubCClIJ2mZEM8lYa7GQB3tmYd5Fu2VdXzpLAPrEtHszGJtRRF09j69rDwoN1ZtPcG3HrU8NuewLQFiO3e8KssUgnmFfn7RWrY4zV97XjGZt/bV6y4q9TbML6yPAmYb7ayURgjwPEI/AAGT4yMGh3sO0OXE40FKSRAENeJ5x/U3v6mcume5eJUrF1gIhcTqgt7OffxGg87KGuvnL6GUP+vPPM+Yjgb0jnaw6YRECZQXIBEkjQYJboPJ8/Rko7F2xiFccbtVmaFHwyHTLKOzskLSbuH7PkpJx8tYZKSjScmpNmQ0HBD6IUmzSZjEeNLxxiFgOp2SFQUGS6vTYat5gUa7gwpCwkaLRqtFmuaAJWk08eIE6YWcALWLx8Ki9/oAuHnqczVZbcnv8+D7P7muLWXiObf9B8bVkwEwPQw8XAbUVRzaOs8wRUFeed5YwDr+aVEqVMpz7zv2PKywPN1+CWucB4WhMnicLFTCWjyraDe6TBly8603GR31KIqMPB3TCDKCOAGpkGHoKFGkJAxCDAIvCIibTRqdDq3VdcJGG1Nmaq6eZdHiXa03QRCc+ez1Y2eBmfNl2T2XvZeHAcOPes/5ds6f+7DzFh0769xFXGpnzZWfpW3LgPhHuceyuk9aEY+oWJ+1ByulWF1dRSpJo9kkSiK8WOJ7mrjZxFqQnsfK2ioHR33iZptpmpJOpzS6hp9+55tEynkACSyeUuRZhq8UfqtFkZc89QBCUZgClI8QkjDwCeKofBJqwAZMphPnxWudgmmsJgodVY0Fut02cRxydHBIbjQ//e43+ZXf+ad87xtfoRv5xCsdAs8jSzO8SLG6ucK9+zv4QVL2nUvwAZa4TGBRlWocG60BS5pPEUXG4dvvcvGpZ7n97lvIbEpkXBJNipyiqBRAg5Ie+zv3iFtdgiRB6ByKjLVugySJSLOMjc01mp0Oh4dHfPWP/g2/+Ou/wxd+95+xc/8u1198iXfffJ0ffu1PaYUerc4K7VaXwkyQQhCEPnbQJwg88iLnqNdjZX0dLS0ehla3QTYck6Xw0nMfpbPSRQQhcXeV5sYFvEa7HBjMtqtFyuOiMVT/e5ZB5m/C6HLWuK3fYyaD2icAHK5kzHmheVl5jH3m9GkP9tGpdriDJ9c89YrmAGjxIFBcfV8EvpwoVqWhtXyO6kclFO2VdTw/YNDvYUzB6uZ5+gc9+vu7RH6G8BRFoQl8/5ScX8lgRmum6ZTpdEoURiRxzPHhIcPRhP3bt/A9n05nhfhiB+X7WKNBCJTvIYuidMZwsruLsPNnY60CfpUs84qUDRdlP1pj8MqIJ50X5CW/sC5St6YIRTrNaa6s0Wh36G6eo9ldpdldxVMhCEFuDIHyZn1c192qNX3+3QlxGsBZKFeYmv5jl2Q2X6KH1e/14Cn2RA+pX2fJmJzfn5etAU75XfjTz315QB7BGRMkAqMNutDoQiNLLm3f8/n2t77Du+++x6/9+q8jlYfONS996MNsndviwsWLrKyvOT0JnIewcfDU8GCf//D/+V84PtonUIJmHOKVSeiCKAKj8YOQXBu+9uU/pNNpc3R0iBKC3s4OsS8Iw4hpVnA0nWBsjsY4+hRfoAKXLEsGPoW1DKdThAKhDUJBLgXWk9za32cwnGKFZGNjEy/0OTg4JIoiXnjpw3zgAy85Tv/xhJ3dXdJ0ihKS2A843Nnh7ddeJc8FaMUoTUG4ZOhZkZNlGZ7vg7X4ZbRAQU5WGJTvc+Xa06xtnmNSOMN2IAVeqUcXRYFUCiG9WiJH5zAkeNAJoQLQ5t9jNU7ruT/qY7dOHVI/t3KeqIO41TWrSMQ6UFzhDY+SL2mRM8WiNlT0EPVj9etWz1P9Pg8812kj6npOvZ3zz1vd90kpi5J613+ztuwDo9E2d3ku0imdtW2k1uhJxt3bN8mmUzqdVdY2z+MnDUQZdTIZjRjlBVoohpMpu7v7+H6EHg1phB6e0SShR7La5dCHPBszHI9ZWV2j212Z7SXWgqcCwlbMpHSiMwjSyZhB75DNS9tEYYhnFYVt4Aeea7s9oV0Kw4Aw8BgNRy5pY+woyLQ2oA2ekoQ+BEx49qkNDvZu8sr3/pr+NOWDH/44R7v3Mesd8sIQBgFKWzbW10mSEK0LbMkXPJlMUJ4Bz0cp3xl3yBGlITfTBaPxiOvXn8YLQ3Zuv8fm2gqbax3QGYEfkqYpvifRRYYUkmG/B8WU8xvrrK2u8NrrN9jZ20d6is2tjTIyXbB27gJeGCGtixhwOoMzqvlBjBETVre32EraFMYjaG86/WI4ZObIIjwEtbWgnILGPIglLtof59eVZeX9qJtibs99P7L06fXCCZ4V9vU4OvBjgcOy/Ffia+V9TwsMixoJy8GL+u9nCRvzZVHd+ePlgVn7li2gi9q0UGEqF00X/lOGhAnLdDRg99572DQjCkKU56GtnlkJdUn9IGWVnfRkE6qHwsyeQYiZE4AQ0nGzCgtKIC3odMzxzqjMSFuG6Ftb0jkIPE8gA5cR14UTn1j93YbiQRXyVLavWmBmm0ihHbWE0XRWunixey4lnfew0ZpW29Dqdukd7HOwu+9CL46PCRsxSRw75V5KhqMRKEmz02Z1fZOk3aXZXcFKH/yQoNEgsiVPl6gyWS8GgB9lssyPh5OxN6sxm7gn7746dtqTe94YMX+P96kH/62Xhwkkp56xpsjakuPsp9//Hqsbm9y5t8OHP/oRRqMh49GYlfUN2p0OQRAiVeUxVF1EYBXuYoUu1a36eARjJSqIiayl0Ug43tulu9oF0XIWTwtWeoSNhDwt8AOPOGkQNpo0O13CpIHnh1iUA7aELYVDufTdzffDoxoafpYyf62HtW1RWQauPsqCvwjcWXadn2VDqn+v33cRyP5+r7cMgPpZjv28lwqoOFnKHwyRg4cDSlJItyeEARurXTprK8RxgDWabDJlMpmyezziaO+A4XjK+WeeI4li7r35Kr7NaUUeB3sHJJHH/du3WF1bI45jJ+QWJ4ldBKARFAYa7a4zSFpLVuT4SmCVpaILolRipmkxW4uDIKDQBdoUSKHwfJ8oidgMz2Pu3iM/7vP6j7+PHg8wfgctBTJ0CdzyIqXbSYjDbZACz/NBa0x5v3l+vVnflB5C7U4XayyT/oj9Ozd57kMf5qff/RbNLGU6GjEcDNi5t08YBVy4sImUlquXtznqDSiKgsD3SFodOp0OaTpFG02aaoTy2NreIhmO+c//7l/zhd//pzz/0Y9z98bbfOc//e80A8vq6ipJs4nWBmEESgjiRoJ/tI9WID2fg8Mj7uwesbqxgR4fc/36VaJWgyBIiKIYETdob27T2riADBrlYABbS5grxEmYaDVH5xPPLAKIl42rs2S9ZbLfomssuv7i7w9yIf88lvLJ39+5y/aHSt5bUP+Miy2/dh24rqOWVZxl/fwaMCFLShZxxn7pvguUCmi014iSBoPeIfvjCRsXL3L+6lPs3H6Pw8M9vBJsm7VRO4eFvMhJpykFEDVcRvHBeIQKE65/8ENcufYU42mfP//yl3mqyPjw9jniVpc8y/HCiDQrGAyG+J6P52vSPCVNU8IwnHFoGmPAWMfjaC3SuoSY0zKBtNaaogRTKooJoQR+3GRl/RwXNs7TWVkjShKk55edKkGWc86Y0uP4tAfiWXOpisSq+nvZO55dyyx3jKjqPYw/vFofoQRPTiqe1HmgBaevl+UZYRAuGbvlEHofivPfdZmnLah7XVaUfEVelIlfBePRmN/89d8gjKNS6hUoT3Hu/Hm2trZQvucSsFICmlbTO9hn2O9jR8cMd+/QjkOEyUmET7vZKB14cjxfgc1RWAJPMO4dEGjtEjwpQSZ8dEl/aLD4UYTSGt/zsFKiooDUarTzdqIoDInnk2FdvhkVcDSY8NLHPsmlq09x8cpVPE+B1ezuHxC3OrRbrVKHtHhRTGtlBWsN0+GQG6+8yv7ODmma4QuB73uEfkxeZBjrQt2zLCPPc8LAd5EsJU2FF3isnz9Pd3UNIyRCiTK5XG1/kRIpvVkE6UlM86MPrGqsz4PH86DpojlV193rx+f5ixcBunUAutK7q/r1+VmXU+bB4nr76/cHlnIcz+/H80D1PBi9TJZ8YuRnsXhPmh2r3okuyCajMqpKEYQx0vfxOmv4gz6icUCn00IaQZGnTAaGIks5Ho2ZastoMGbv7h1CT7DeXaWxvkE7uoAt3D7jeT5+6LHRjCkw9PtDslzTCRQWjRCWwWiE53skoUcUOo/fNMvoH/fxw5DQjwiCGCUVgaCMeHPODNa6MRwEIUkjYTxJGQ2nHPk94ijA90N8PySJQgSWTuMccRxx7tw2159/nuF0wv69fXamGdqPCUNBiGFrfZUoCt2cNS4xfe+oT7vTZqXbwGXflAyHY8bjKXlh8KMGycoqVz/8AYbHR/z0W9/k3OYGG2tdTJGilGLQH3P//g6bm6t0V5porfE9xcb6KtvbGyg/YGv7HLu7OyRBQpwkBL7Hce+Yhoa1TociyzHWEIcRw8NDIqWYTDNa3VVQEq+5Rqe7Qb8/5Mbrr3Pl2tOEYUK50lbDgxoUsVSvPDWkztBLz6o3P/4WjceT4/My1NlAsxCVtCYeWvdxyuPRSlB2hqlcny1mbiGZR74fBXCYr/OooM5Zpb7QVbLvoj5bpCTWz3edbhHWYo1LRldkE4zRJVXCmIN7d+gd7BKHEX5JyG/cjlVhZFRf3MZwMhBFBd6Wx6yo+qO+CcgSlHfggPIcebqnjQPspcBqi/AVSIGV0oHLQiCtnYFxDtS3pwaQLjdHYx2IPtukynt7ZdhUIASe8lF+gO/7GOvCOj3PR0rHL2WsZdDvo4eGbDJBCYEfhBTaZab2ApdAKGp18RsdvDDCCN89o5RukTMn2/xZE6/+nurHzxK4l4+C+juvgOLF42+ZcePnvTzKojcTCsqg71LcIYwjttZXGQ16yGzMjR//kHfffpfRYISxDtA4d+ECcbOB9H2uPP0M7e4KQjghRQkBUmFsSaMtxCxiUpSAjPRbXH3pw2xfu15mKTczLr5Ca5Tvo6TCDwKk7yGVKg00ouTOrPTaBykkFpX597tIIFoGoJ4pcCy41qLrLBvbDyuPct6iMbpsbswLjO+nLYvKw/pjGQC/6J086j3//7XYch5UM3LR+FuUdXpZabRafO6Lv4wqMmfEzKaMh2Ms8OaNt9FBA2stl59/kV/4/Bf56p/+MXEcceXaVXqHhxRZxtHBIZ6A8Thlc3ODRiNBF4XLoG4F1hiyNCVH8PRzL3LjlZ9SpCNMkbn9yW1G5dgz+J7HcJSWe5zAC0KkF4Ap0CVIrDwP5UdsbG6QTqYc7++B8iiKHKk8lC/wA99lYDeGJIlKT0cNEjw/clyNRU6e5WX4e+lNU4KNURCgDWgUQRCS7R+wf+8eF595mt7bN0AKR6fkewS+RzpNabaaQMqF7fUZQK6Ux3A0QRcFYRzRXeuSFzl5YYn8gIYwvPfjl4l9xTuvvsLTLzyDsIZAGLLJlLTQNGIfhHEUVVLioVlZWyMTklzD/s59Lm2vkyQN8kJz4533+OAvfJpzTz1H2OiCCsq9363mVizftx5mRHmYPLYI7Jqf44+zxjya3PgkrAWVzLGcSudU7aqPzpLya0CtcMLkqbuJufMX3UtWlas/oiamztrAyV9bu6ZYzNt+9tpcUjb4Me3uOp43wgt8jBVcuv4cW+lV7t18F7Ix4Chk0ixHWwHCI+7EJJ0uUZzQPz4m8JwBJowaJO0VVmzGl/7hb1FkGTs336PZbBHFMRf8gJ3799i/e5c8TbHSeS2Op2M8L0MYjacknhIItHP+kJIiq9YI52kspMTzQ8IwpJM0aXXXiDpdmiurhI0mSoUzAPDEJODkEwH4yi9llAdlgXmA50Q+OP1eqcke7jXN7Z3y9HUXvY9HmVdn7SGCB9eO+ecJw+hBHbDSC8txNJ8D4kkpp/qbmr5rwRpDkee4kG+P8XDIdDLh+RdfdBEEUs3GgFQKo937m04m3L1zk2997av84BvfQE8nXN5cpxF5pOMxceiDsRR54ZKY+462qShyfD9iOs0QQpLnGZPRGN8PsXmOzjVGGwI/ZDhMQSoskqTVxioBvsdgMiVptnj6+Wd5+Tvf4sK5NSaTCTJp8k/++R+wfuEyVnpoY0A5IG1t8xxSBWUfGMaDPsPjY7LRkLt3bvHKj1/mcG+P3/iN32B0vEdRTJHKJy+MS6aqcdzFShGEgUtknmXO+QpB0m2xubWFF4YYpEvyagzCGoSwLsl0qTdYa6mIEmdj3poHxv+y/W4+30gFDC/yMq5/rwwtley8yCC6CMxd5DlctaFulKlfa9k8nvfurerOU8TVDUv155in26h7B9ev87PoCH+nZUFzT57BuDxMOsPoHEyO0TnC8/BVhBCK9to2nfY6qxefIs8nDA72GR33yMZjDIpRCju37+KjuX7tMs3VFlZIbF4gtKP8CjyFwGDyDE/C+fNbbGxsoFSAMTlCWPqDY9ICRgfHrLSbeKFPp9shm4wYDnokSYK0LoKlsBZPVe9Dz7yOfT9Aa2g1Wxwc9MiNpdcb0TfHBH5Is9Om1U6IwwBrJTpLAYkUim4S0fMFz77wrJN5R33OndvA9yRGG6T0GI2m9HoDhqMpQnqsrnbKeQaNJAJgkmmaqytYBLt371FoR+MgAD+M0Z4CAYfHOxwd92m2I7qyjc5zVrstuu0WRcllvtZpcXzUI1OKwXCENAVpNmWzfR4/8ig0rJ3b4PB4QtiMuPXuTfYnOZ/9tV+ns7pB2Gjxxps3QBueuv4cXhghqNYLqo2Mao8V4ux97fTYoTznQXlu3hhUr7voWov03QfbcTYOZksRs64jzuvY8PgUFY+XkK72QMLamnfrnMBT1nUvYbGQOg+czHfuIiBhvi1nCqPV+fPnLTj2wLPVX9Js89cIozGmoMhzdJGTZ1Mm/T7Dw310lqESp1RboxFClqTkNSFitthLHvDSKf8DiVTyFEBqZ4Cua6Mun13WwucpE9sJITDYWqgNFHnxgMD3wOCxtgyrLX+XLtGPLvmH7Qx8cC75ge87MnchiXAb2laeI4RkPBq5RUsI8vEYsKytrXHp2tM01rZorGwgvOAUqUPVdiGXK5Pzm+XDxsBZ16i/99PvHurAPDzoMbBM8P55Lg+bQw8IQ2UfCKlQUczWpSsc945ora0jEGxvb7Nz5w57+/vkec7B7j2a0y5Ju81oMKDRajvFCkE5rB0gbLQL6ajNC2eYUKAUUasKvXRT2KVkPJmzlYXPMvdMonqmE8VjmbA0PwbOepdVyOmic6txsEj4mv9+FiB6VnlUMLiqMy+QngUG19tW76NFFD+L2j+/mc33x7JjZ/XHIrB4npcZTntoLPKAWMZzXPcUeVJK3UdwmYew48OUD/T9onHj+Y6rO530yQuNzadgHa3EpctXuHdnhyLNCTyfRqtJEkUoHeGHgQNmpxPGo4jxNCVO1Mxryvc9rBToTDMajsl0Ciri1o03wVqm04LAT1FegFUldCIESgoKQPn+LBGNQeB5AQpFnqVoXTCdTAkMICEIAo4nKVevX+fo1o2yH8ATEhWEzhtQiJJH36CCACEVg/4x+XRS2pAErXYDsBjt8ggIIfA8iTAaKyBJAvb3d3jx079EPrFMB/scHvWIwxA/8PH9gCAIKYqCoshRAgpdMNWaw+EIKwVmPEHuHhKGIWmeMZlOUXHM8GCXl7/+FwSZZmgN5556mqOjPSajMUmzzWA8YaWd4ElJq9liOj5klBZcfe45vv31r3N+c51nrj+LkQKJx0d/+QXOXb2O8p0c4ozOAlDlGLILx0U1X5aNm2Wg5skx15eL1r/5c+rXXMa3Xl9bFrVBSrmIjvXnsjwg5i9Ylxf2j/vhwfPcyaeuL04qnXyuy671+1XXXCYIVxtvKROeeoiaXDaTjeeUoWXranVYIBBeSLPtk06GHPf2GCjJ6voWWxcv4ynnRFAUOUWeoTwfgUvy4ymBpzySZgffC0B6WOHcJoTwOX/1aSb9AVmeoQtNPhoyGY3odrokUcx0MsUUBcYUpGnqHFxMUWaIH6MUeCWPaNDwUMqj3ekQNlskjTZh0sSPY5Tv6GXEzMINwtbB3BogVPt/5QBy8orm+qz+/uauM3ufojYXxPL+XlYe0NWWnV/T207G4XKA6GH6XPk4M9nsSQKHZ9OgJk9UCcmFBSFUGbGGy9VCynTU56c//hEvvPgiSojS+cWdm00m3HjjTd588w1+/KMfcvPmO+zcuUUnjrh2YZu43UJZi0SVdCgeSMVokmIshMqU1IWCdJQyLQ2dhQZjlaNlKwxGW7Q2M+93iYfyFBiLNZYsL8g1/Obv/mO+/hdfZTTNeeOd2/z93/h1PvGZzxG3Oy7hOtJ5KmJQnl+CuJZiOuH1n/yIb37tKxwfHtBMIkLfJwwUq52Eg9276GKKKTRGOUoaKSHXECdNsqzkHxagy4SU3bU1Ni9f49yFy0gVkBuLlae9ccXMyUrUlrGa/Lj0PZ7e/+bn4qKEcovG8Tz4u+ge9fvUP897A9efa57SYhHQVD+2TJY9i0d4kZy9DHSa5z1+EiJ1HlaEKKOyTUGRjcmyCdbkoAsEGm0sqTV4QQPhhUipaHU3yXVBe/0iu3dv884br3P3jdfJ+oe02wGbF86xsrqGxSNur7C3t8Px4R4Ci6/AVwLf84jjGBUqlHIOBNq4yHLf95imU7LplDvDEZnOuHz5IqGSHI9TR8nkeaWZX8+cokBiTI7n+aTTlP7xMZPhCCUVXrPpnLdGU4SdMpqkBNH50pNYkVkzyyE1PB7RT3POb7Q4eO9dts9vEgYB0hrG2ZSjXp/jwYjxeEQcRXTaLZQUoHPyzNKIAgLfp2kshZ5iC0N/t0cvnTKcTHnlp69gjGVta4PhaMRBf8jK+obTVyx4XsDxUcW1nKCLjDydErbX+Pw//gOUtbzy118hH91BqJCsECAiQk9w5UKXo1GLnJDLH/oYa5eeRgqP8XjMxYuXSeIEoXwslQ5fm0uPuhcuLHZGQ/E3WZbpbI/y23z7Tn17TGAY3gfncHXj+hK8TNkWpYBxVrPmF8CzFsd50GC+3sPuwYJFeWnd+u/GkKdTTJFjdYHWOVZrdDalf3RIv9en1WkjvJDCWgLPQwpZ8rGeVr7mQY75thgswjgAGU6UhLrSrzzPCSbGVhVmgpcTUWv9JCWiZh0VwnGrVKEIdSqJ+iZglUIKQaPVcsp/mawOIVCejxeGaKtdKCAOqG6vrKGUR693RJFlFFmK5wc0GgmrmxuErQ5JZ8UBw0IirIGKN9CKM8fJonKWArmoLBtP88LC/DXmQaz3M9H+rsvDlPYHQSdb6ocCJT2izipRZxWtDdYaPCHZunyNLM1KQRniJHHKmjzJNF55ylcvV5XWyCzNCHzHRUoF3FnHLQYnIY0Wi66FYgnXtPIZHpxLi0DEs77Xz6v3VXVsEafXPBg7f96iemedt6gsO3e+LcvaNn/8YXXqAOsiofNxn6t+bD6M/yyg+Kx3U7/+fHuXPddZbXsSyyIgvP75YfuitRakIooSxHSA8gWFEEjp44chTz3zFCudDm+98iZ+4LFz5z2O7t3m3Gob5QuU77N9YZudnfs0GglhFJIkCUJYPD+gyAv6R30mWc54MiGQKflxn8JYgmaL0bRAeSlJEJ88k/IAg8IihSTPc4o8JwgjkJIsc57AURSRZQVBFNBoJoyOJ6xtbXJ4802ydErSCJC4dWI4HFIYQbu7Qhh6TCcTRsMj8izHapdApyhylCeIogidZ1Qge1EUDMcjRqMxaZYSxy6k8FNf+lVe+f43GfX6BL6i0+3QajUp8tStFUIhTO6SgAiPNNM0GwlhM6bQBV4c0fB9jnf3KYZjut02Ko6ZHhzSDkOk1sggxGYZvaNDLl/cQkrwfJ/tq1fZH2YQNTk+6BEqxYsf/ihRs4Xf6dBe3wKvAeLEO+2sMfAwwHdR/arMr6HWPtreeApYZHkb5xXq+TrWWveMTwjAVOJ4nC0JP87FxMLvgrJvzlrf5t/PA1XnQMF6/QV7JEve+Qw8XtAEt69K4mZCEAfkWU46HjGdTEAIomYLXeRO/bUSqRRJFDuniRlY6gzMCEdNJZAoX9FcPVlXKFzY+nAwQBcZRZ6h8xyES5AslUJ4Hp4fEoQRfkkxoZRCBi7JphCURiwPhEJYXbbhJLqqktHnn3+ZvjLfh05JNjUAWNQrzUD5M4uo+Sw/whx8pFK9/4eNqQXlgXuU8tqTJju7fBk4D3AhMLZAWYOwGqREFwZjBcoPMaYgzycI4Mabr+Chee7pa9gscx7ruuDe3bv8z/+vf8lf/fl/QRpHA5FEARtRRCtOUNogpNPktLagJIURZLqUhq0mtAFZ4Yx/hS6ccTXLMSXnsbUSIyRaggpjiuMRtsoBowQWi+eF7A2GfOk3fpu337nFf/mLr/OJT32MX/3NX+PqM09jhU9hDAKLtM4DWQjhHJOAO7fe4a/+/M+4994Nmr5iqxkSRRFSelgsxgpGR8forHBORoVBCkU6yRBeAMoraQohzVIXUZq02Lz8NJtXruM1Om5+GVDCOiosIWdgcF2GdLp1fY6cAKMP7lWLZcAKTK3qnAUOz3IUzFFIzNerfpsHged/q68Vi5Jn18+t/z7T1Rdcv67b169VlMkCF8nk831Qv38dGH7SQOL6swghQBh0kaKzMULnjvfWOqBWSYmZjkinE/z2CkYFCOtyPUgF5y9eYvvSFSaf/Szv/vhlbvzwexy8u8Pkfg/b6fKR5z/M5e2rvPyNv8JMBnieRIW+S2AqpJuCymJMSVNkBc1mgzAMCDzBcDSlsA0ODw9ptVf49K//Dof37pBmU3RWkOYpcRzhiYJGnKA857g3HI0ZDUeM+kMsEAQ+Ogrwwg5xGDhDk1Aoz2M8mTLNBcPRMWHo0z/ss3L+AiqKybKc2/d38Ho9fGOZjCekWY4fxbRaDVa7HbrdJtYWMydIay2BLwmlApxDxmjQQymfVqvDwFh+/NNXON+7zKVrV1FRjB8EhKGHLyTjNOWgN2IyTekOYrY212k1W9zv3ePH3/k2/+Af/9eMteY5T9BsJHjKI5+MuP36jwkDn7a/wbnnPs76pafI0pwiH5I0GijPw7mglM4E8x4FlShheR+SpKOJrcbXmTUX4AJn7edSiplMXS+PuncW2lEbncgXi6/3sPLYtBJVEYKZFx+1BcjaORFYLBbiHwbiLerA+cX0FLhnzGnhtVb/tFBb/Xr6mtXnetustSjhvLHybIouhUtbFGTplOPjY/b2DkB6qDBBhjFKCad0YlwYnRQuS3h1TcQsI6agVHJmg7R0DLdgRW1TK5+13mPOAmZn0X4nQnMl09kTQbHqH+sUFGvNaVCYasC6LPHUoP+D3V06K10anXYJUmuMFIggJFSSYjKeUYvEjQZCuIQD1jgCdC8I8MOQqNXCbzQdH5uteqE+YXgAIF4kyNaBu7MU4HnAd1G9s0DhRWPh1AbzBJZHBfugTKoIICQGWYYkW4RSLohLCDwvxIsqud8l+XNj62T8VCCuu1F53BryIsP3vVP13DiujCJujlhrnId85Zkz1/VV/fn3OP+u6orYowAgi97xWeDi/H0WlUcxXCy6/lmGi0cpj3LuWYDRoms97v2rf496n3p7z5qf88er3xaNgSd7Di8fm4/7LEIq9vYPOLz5NpsXrxJFDXSRY60hTacc7u9jGxEf+NjH+c5f/SXN0CcIfECjDQSRz9a5TbJpiud5SOmUi17/mPFgzGg4ZZRmKCGQgcfK6gqe7yGUT5rnNCIP5ckZmGVx2cl9L8N6CvKULE1pttt4vk8QROzv7aELQ6ezQmELWu0W9/Z6HO4f4Emf4/0DsjQkiRKyLCPLc6IwZDLuYYxhMhojLGRZgRCK0WjEykrXKURKovOT/pmkGYOJJi0EhoDJ8TFvfvMr3H33dVa3rwLOyNpstyl0DgLCMGQwGAEWLwgQRnBhc43RYMj48ACEIB8NGWhNHARsX7lI2O2ydvkq99+8Qf9wl9VLF9j/yU/xplPWNzdZWVkhHfdRnk/YXWf7GcPduztorWmtrdM8f5HmygZ+1MQIibQKYcDK5evPw+bSsrE0z4v4s4A8jzpeFwHO8+v0z3upxE+nrNey1y/pv4c926l1zx1YfNP6zc9s4BmK0RljZNn6ukh2X/zOBKBQykNFETaCRquSkatr2kpKLmVXU/148lgW5EzEkDMAXiCwXkjghazGzVOO0qc91ktHl5oeM99KdzMxBwLb0i2ianC92x59blT9IoVc/CLOkCVO9enJQHukey4ywDxQD5x3VQUQuxPObNcymf2s35+UUsHEDhQQYLXzCBYOQlZKQGHRRc4br7/CoHfMjVdf4d13b/HKG68zzlJuvXcTUWgubZ8jm47BuNDzKPDxlMIYDThqwizL8H0fKSGdCpQn8X1FmmZI4ZEXxWwtzvOcPMvcfJaCQmuEUGysrnP/7o7j7wZHCSiAOOaLv/Q5fulLX+TLf/TH/NN/8Qf8vS/8Ml6knNxv3fNYo8mylP3dXV597VXefvsdfvd3f48ffO/7/OB73+PS1ppL7loUTCcTgjCm0BpPOdk+TVM836fIC8Dieb7z0MynSAGTyZggilBBzNWnr3Px8lPYqEGa5SCEe34hXZtrZZF8Xy914PZhsnVdx1sEAtd/e9jet0zWXmpAm3uGeW7xetTi/Jy11iUjqyLG6jL2ovvXf6/KfLTZor32LD35573M2lx+P0n+iaNWMDnCapcTQ8pZZLQuCsaH+8ggImq0CIMAbTR5nqO8gDhZ4blP/yJXX/gAP/rm19l/9y2C0YhvfvmPaK9v0vE92qsXkMJgTUGeTsvkcwZV4jVKSucFbARhFLMeRMTJmL3dfdIsQ3sh29eus33tOv3DPQ73dhn0e/QO9+iEIVZYpHJGyjhpMBpP8PMc8pz+7g6FNnTbMZcublOu5uR5TuCHTHJNZ+sCt957j8F4SiccsvvueygMozSnlbTZ2buLrzziOKTbjmm3W7RaLWQpX2ba8s57t7l88SKtVkhRZCjpMxpP6I9S8EKevn6FQF7ljTfeYqoNQdLGak0jCdnaXCNPxyRJRBQnBJ1Vjg8Pmdw74PLmJh984RqWMaPDHZ66/gJYF+EnpOD++D2uvPRR9u7d4atf+StWz9/ji+01kmaLKG7X9vcqCn/xflc5GlAb248jXz7qXHi/Muv7Oa8ChkWJdb7f6frYnsOuc5mBkI5eohbmXZNPTiDQv5nF9NQ5pcAtqvtUbZirax4Qos5+tnpxC687qVJicyMwRqBRjCc5IohYXV8njmMoCiiM8ylQznorTWX1LENg/ACDQuuCwPdBZ6XgWz7PooGqjeMinuuX+YUPa10CjNpmV7Z+9tfRQ1gwFm106RovMRp0cbJJGInjLzaG4XBEJ8vxQ+eVoZTbUIIoxhQFQimC0oJkrHGUFEFAHMdI5SM9HxmGhI0m0o9qIn/V3+Jkgs5PXJZPkLNA4fk+mK9zqn/O2Ljr5ywCmZ6UMi8w1AWKeaGjMubI0lJvbZWm72TeVQedgupGmLbOwFDpOc47vXzT1mBN7ritlKLZbOAW7vridRJ0WP1fihMQqeKxsdTf84PP+SgK9jJwfBkwu8ggsWztOmu8Llpnzjpv/h5nAZ0Pa8eycx9mKFhUb9H1HgfEffx3cFovnfd8mL/Ww5TU+jh/UooQS7ev8vcHPVEW19FMJhnj4xHF+hSVJOzdvsvx4T7TIiPLDdtPPU1n/Rxk2oXG+T7SKqbjUcmVJvGUh9UG4fkcHh0zLSzjac40z7ACwkCxvX2OuJFgMdgiJ/Q8kCeeUIFS5f7teNOUFUyMZjqdMh2NCFbWSToBjUlGv98nN0esr60gvYB2M+HW6zfY3N6k6O+Qji35NEVYjfEShB8wPDx0hlABeW4o8LDpiHYS4SkcV7KwSOUWM2stgacIpKEwGR6wsrJKq9Fg5/AQ6Sece/ZFdt96jUmuSdqr+EZz56032e/30Vpz8cI2QeBhTcHqegcsTCcTjNY0GgmtTpu8KCCfsvvOmwglMVKR5SkbWyv09ZhWp4MfN1HSvTMvTly26SDg2Y9+gqjZor22AdJFX0hrEWIx0rcIzFsGDi0C9arfHb+dxff9pectAwXr43IR6Lvs+9I5/JC58PNXTjxN4OFC/1myT/Xci64w60dxenU763716y2Tu2fHzxhD88dOnVcrs2R2leImKtV1/rlq0oBDKpfsaQvGiBAIW6MDq7VLiNN7xImesmSfo37fGv3K3Icz9/f65lUry0Cb+rMsOj5PA/Mo15wHaRe1cf6oKI8/0IKqTx/s/kcqT8rcFbYK4q5kW4POM7LpmCjw8f0QJRwPvbUGFUiOjgZcvLDNtNvly//h35NnmrDZ4PpT17h8fouXv/NdvMAnlZClUxeiTRmZiaOg0FrjBUE5V0J838fzFXmeY0yO71EmPD8BFKuoO6ON483XBW+9eQMlFZgMqSR5rolaLT79977ERz71STJr+fV/9A8RGqQwGGuQUiB0zrs33uKN115hf3eHu3fucHjU4yMf/SgH9+8ReIr/5r/777nx4x9ytHMPKSSNpMlgOCp1QDfPwzAsI2ndQEmnY5I4ctGmnqLRSDDSI27+/9r7s2Bbkis9E/t8iIg9nvnc4dw5M5EDEkgUEvNUqGJVsdDdJLtpHMTB2BTVbGNLMumhxbZ+0otMMpPMJNMDH6S2VpNNFruLXaTIVnGokWBVASgAhXlKAIlETjfvPJz57CHC3fXgEXv7jhOxz743M4GbRPww5D07wsOn8HBf6/fla/Xpr64RtTocpClWSC9zKDWZH6gYv1VjOlxryuRnka6OBA3zqyKYi7mrTs6aJ6eH96sQks/ldhXPlf0Rh9fD38X9ov3F31VE70lye9Xvdwoq3xEgpMakI7DeN7BNUzJn0a0WSmqEhAiHHR0yHB9gZYSKO3SXV7AmRcsIKTSdlQ0+/Ct/hp1bN3jxa1/i+qs/wl7bY+mxx9gf7LF36y6DwRBrMh8/QypWlvos9XyciL3dfbROWFlZxkpY3tzAWMfB0SH79+7yu//TrxFrf8o6imOUEmz0W3RaEVESMToc4qyh09KsrfZY6rew1rF9f5cbN25zeAg7O7usri2TZSnGprTbHbLtbW7cvceHfvFXuXbtFV752te4fHoD2dLcu7dNOh5wanOVfr9Nq9UiiiKU0Bgz9gaPUjEYjNFRh5s37mDNCssrfZyDw8MBWsfEScz66jIuS7lw/gxvXL/NV/7w97l8YYvNjVVSl+UH3SxbW6d59eoNRmMDccLLr13lmWeu0OpYXv3Ol7n07g/QWz+DkBqhBKe2tti9e5vH3vthNi495U+o91eAKR8IxZRRrUNPTp8Fw2PRcR5yR57bc5NFbZ7sUzUfnMQHTJbamTnhmCgxeWZWNoDpIh1sqi+AB/Y5PJloRemYQzjhlhpSpySE9xchdWYVjOk7PZZf8V83/2XXCVXF376TvaAppWJsvdN8lMBYWD29ibtzl8ODHbRIaenEL4oCnPDO9Z0DA943lQScxYy9xZUZj4rgyHmtc7KrEF5zE33IrYRDgbY0Ogqyw9nZYykFkVe8O2csDuPJYZMhpcJmU1/DuML3sd+1jKII53wE4g6Fb0t/3N46h4oTnLUI6X1PWufQUYJutYg6bYSKiXRC1GqB0qGtcPllzH3vdUJAnTBetQDOI6rmlVeX5p2MufUXhB/XhJQKv/fZ/gh9HU7/EbiJ5cnh9j0Od+7ghKK/fopOr5fH55hOWM4VfsxdmFXxZRwbIkKEqYpri81+84jYqmuFUnkSwVuFRQnruvRlga6urg+DKqJm0TrX1aWqvot8U+Vrs4tseWE87jc5RCEQl32tTwUEh2O8UPseBXjihopp88HGsW+/pLO8xuvjDOcEGMv+/q7f4MkMWinuXH+Dw+1bLHUT0kNFFGuyPNCb9yKTK0k4lFQ4ILWSpz/6i7hszHc+9/ukmePwaIBOIuJIMUzHKKkQQrK9s0vSSlCtCK01URzjHAyHY0bDFGsNOzs7tDod2t0eK2vr3Lu/zfbNWyilWF9fo9PrcOPla2ycO0MmJBqFdD5AhzGG0eGA8WgMzjFKU1zcxowHLCURcSRZWV1BKokzfoPTZP7IuNaazfU1suUloigiavcRUiOTFq9dfZ3nf+U/5MarL7N98w5aSW7evMnh/pH3pdrWpOOUbqfjLZaPBkRRTH9pCecMQsA4HRPpiMODI3b3D4nbHbLM8NL3XmC11yGOEw4HhyydOUXc7aAAESU89dwHea67QpS0/PuUKj+F5FGe0U8iYYv5PPyGwnvl32UXO2UhuGoeKedfHpPzyMh5998x7JJzU1k1lNkWVULyf4+lzglgV/xdpCvLwaEcVMrioVYQN7s2+0sVm3xB2kmd8n8nBEe5PnNIlHDNnTfeJmMtL69qLaojVoWcxvqYEtiLY+56OVEiq585kZSfg0Vlg3lkVm3ePtG07vm4m00wPz9XGoPD4ZDDg4O55T46KNrjg2VL4U+R7ty/R0sr+ssrjNKMvf197t27i5KCixfP88wzz+CM4+zZ83z3m9/mY5/8BMNszPe/823OnFrnYHuPWHfZy10UYkFoQZamyG4Hpb0BkVKeEF5ZW+Xs1lm++61vEScRo9EI57yLwDiOabUTrPN9awEfFNav9dZaOu22D95qHfsHA/7Vv/o3PPehD6OjCOFAKXDWcfXV17j5xlVeeeH7XH31FSSWVhzR15pUwMc/+AH2dvc42t3mB9t36caR14+FZjTy6zsOev0eOzs7OGsxmT+CvrK8jJAwOjrEGIuONSnQ6vR8EKlOnwyJUJJI5zEUcJPYOlCWx+vHeUjihtfhuFskIcTEAjfMuwgUB9VuzMplhmtm+FzZTVvVnFSVpq5t5b6o+j1vXgnLD4PgVT1Tuzn7DoAQfqMF52b2sBwCoSOcybDpEGONPzmH8MHO8XyPyUYTr5dSGGyWcvdgh97qOjrSSCJAgtSsnjnPs5/8JU5deZxXvvktXnv9HjrWHB0NiFpdhDLs3nqDdhIxVgKbeJ/2w2HK7Vs3OLd1htWNVe7e3+aNl17FKMn43h6rvQS90md18xQ6aSGVRAsHzjAaHuJyn/lgaLciMhPhrCQ61eb+/W329w65d+8ey8td4jjGOYsTjtOnN9nffp0v/dvfY2m5TxJr1jZXcMLR77YZHo2R2iIwpJlhe2eIlpr11a7Pw0ranRbZ7R1MlnL/PsRxQqfTYmW1T7vbpt/uYEYjlIrotdt0Wv7UwGAwIM0MSRSjZcLR4QFxJLh8bpPd/QOu7R5wbm2NF374Kh/40HvQ6SF3r71Mb20DqVvgLNKK3PBS0187hWLqdmYqDxXy7XQ8LLJ5PQ/hHBDKqFLJmXnqQTFP9ilI3Tq5Z75cLWbyeBCp76HdSljwg1JKH8hlWrW5cu9x8nV6vU7Yq1JuCrLKQb4rGT4DVESyLudVRSAe+xcBInePkKXY0ZgsTdHGsHPvHqPdbXrdLhH5wBTeb40QYK1BCI3Lj7sJ5zCjoa+v8dZXxnhrXmerJ/HJYiEFFH5XRT7VFcK2ECCOL1rO5cSysb4M5wMHTcjhLMM4M/2o8s4rJlLnnCeAtZoqhrl7CiG8Y4i41cGkY5AC7To4KXJSJiZK2kgdoeMk93v81hJaD0L8L5Jm3jNVH2Y5gMCjjPL3Ve7DY7tqC13zI6U2nZAIHKPBPq++9H3saMDy+ilWlY9AbJ0fo3X5lwWtEOExqnK6eaTkw7WzWhE9SaErC3oP2t91C8CifTSPxAnzXWSzbpH8i2tV7Sw/V1WHKgHaX5PBs8Uz89tZFfijrPA799DL308Uztq5XFj5m56XBgAhuXDlMa7/8Fvs7e+xffc21lmM89b/6ThlebXHzo3XefzKedLRmieGjeHo8JC9vUOyLGVjfZVup4MDlpeWOHz9Kj/69le5/PR7WNo8x/Bwn3s7+9zf2eHiuTN+s7GdcO/WXY6ORhhj6CZ9wKB1TBR1EEJweHDAEBiNM+7dus3WpTYqiegt9dne2eXV196g2+uRtFqYbER/ZYX+5iqD3R0QlrjTY/XUWbbv3cPohIODA6JOxP79u/RbEXErpre0hIo1o8EQrTS7+3uMRiOiKKLT6WCMmYzBLB2Ciml3urQjzcG9e7znE5/ke3/wWV5/+cdI5zeLR6NDdKfN0ulNtPZBMUajFOsE43HK6uoS7XaCtZYsy9jb28NZGI5GHI5HrHTXuHPrDutLPfbu3eHSe54j6a+RaEXc7qLiLt6ehYmM5+t4XFk9aaxUoeqbKcoIr1XNt+XvN/xdNUdVzR3lsuaTgAs3+aeOQlxjzvdZ/6B/zonFzzlUKvkzf80SyNbaXIasKEEEhHZdHavuV727RRSxPL+69ahubT22NuflVa0ztXDTM451z80QOgT55xsA8+bg8vMzxOsJa/1JbXgY4vdY3aouhvXyFTied8UYKNfHWMO9+/e5c+cuv/4//o+88cYbD1S3nxaccxSUvnOGzKTcuXmDvZ1tVvp9Or0exmQcHh1gnKHXW6bTWyLNLIPxiCuPP8njjz3pT35Ky/e+/U20VmgtScfGu16KvE9SrfW0TOHjuBRz8s79bXa3d3yAOrxf/PF4jI4irHOMhiN0HDE+PECpCIQkM4bReIy1llE6wkntT6gMhqzoFi+/9DLveuopXJbx7a99na9/5U+4+tqrpKMB6502y1GEliCEQ+HYWlnha5/9LK++cY3Ocp9WHDNQ3t9veELXWsupU6d49dVX/OlYHM4YdrbvE8feTYaxhnFm6K9vcvbi46ydPsfSyiapcWjhST0hpXfNWLFGVK0T4f1QNyvSl10vFHUNx2pdELfwlGXZz284VsqWv+V1rEwqla9VydJV/EeVjF03V4R6UtgXBcqbYNb6YGUnyQOPOpxzlWuOyLkTGceMj3Yw1qKU52Kk9c8Z53kSY4zvh7yPIiEY7dxBSk27v4KQkT//4qC7tEq7v8TpS0/wlT/8fa7/8AVEOqSzvMq581vI8+tIYRDWYdIUIRX9Xo87t3Z4+Uev0r19x58MGGcYIbh16yab609x9txFnLCMsyG4CFoddK8D4wxjDMaNMcaRpoYsc0jpA06vrq5xtHPE4OCIu3fvcv78BVSn613OSJDakR3ss3e0z9KSP5l2eHSAFIJ2S5NlKfv7Q46GGalTxHGGQqDzbzMWEee3TnHt+m0ilXD79l0uXj7v5zclsC5FpI43rt1g/2hAvLzG+z7+GC9961u88dobnLmwxe1b94mVY6mjOXV6g+c/+hEe/8gniETMv/5H/w33bu/y1POXiVdW0EpjsjFHR/tYY1naOIVWCifyd4qdsQT2Is3x77kYG/P01Kp11lqbc3pyGgOpQvyp+lZOEqPmydvznqn6Fh903a/Dg1kOAyLYCatusRc+y8JVucHhJFon8JSJixnyIL9fCHSC4y+0Timp8htUReRQlCQVOm7jcEgtGQ+OONgZIHFEWuEkGOH9Cysp0cWRfXL/vsKTzP5YYWHF60B461ubH9cs1yesv9IaIWd3+YpJ3dYQLb4ckxPD/nUZm/k+MxaRE9oz7xO/Gz0ejBgcHQGOdrsVBNkDa/HOyJ1FSI2KFS71g0kpjSf8FEnSQujIB0cwFinVTN8uOojnLUZVJNZJwvl03M0eD6pSZivHXjDO3qoP8e3GPAKx3MZ5hOO8b6d8zQnnA3c4w/rmKTqdDv2VdWQejMo/Vk++hnnXfR/z2juvnfNwohJ5Aurq9TBCVTUxstj4q1JqH6Tt8xTkefnUfSsPk1eeI+Hpn1CBrxOgC6sPY4yPylsxXpzITij3nYUqJarymwKSpEXcbrG/633mt7rL3Lv2BkZo3v1z72dtqYtSjtHhPqkxJK02b7z2KjvbuzjnT4+MxiN6/T7OOZI4xiJJD3e5+aNvYw8O/JFcIYl1zGAwZHm5w+H+Idu7+0id0Iq0D0qJ88fuhKTTbdE9anFw6y5jHeHSjN3tHVY21jl15hR379zlaDDi5Zdf5eyZU2Q2wznHYJxxNDgi1nB4eMiNa9dJuj2WT5/l2Y8/wTe//BWSvXsoCUm7TdTu5Mdy82PlQhLpCGsdR0dDH2jO+GO7B3u7tNpddLtPK4q4+9rLfOjP/Xm0g/s3Xmf7javcP9pmc32Vc+fPEikfwCRptxgOxuxt76KjCGNSNjfXWFpeZmwsq2uWdJzSX13BtjqsbZzmR9/5LlJrTp86i1Bt+iun0Mr7prNC5+4jwLmczJvL282fb8pr5TzC7STheR7BVb5fpzjXpQ+/8ekGT8G4vlPgpdRJHwWyc+36Of3BRIBjlqQjTHNSDfK4HJOcxXEitpZgLMv6xe+yHlD+u1yHorziXnlc5c/VjaWZ+lX04cwGYMV4rvsmTpK/K58T4tgwXOSbm6Sb8/0cK2eB9X7e9/hmMcmpNCeU2xGWHyIzhr/39/4eL/3oJV5+8Yc+cPE7AL4d3pDm/t1b7O9sMzzcp9fpsLK2wdFwRNxus3XxEpHW6CjGpCntpVUyeUjqJP1Ol/2jfWId8+GPf5JEab707/6AVqSxrZaPv6G93hQnLT/PGeNVz9zFhHNMfPs7B1hHu9XGCcFwOAIhSI3BWh/0WWqNcSPGqSeHM2NwQrF3eMD23j5Jf5Xh0QCTjvj1f/gP+faXv8xSkhBpnet6jrX1Fbbv3CLWGoz3V3rv9i3WV3oMsxHZOCPudFhdW2X73n0iKTzJHbcYDodImctgmT8xI5z1Ad1RxK0uqt3hzIXLbG6dp7u8TmaFP2XrfSlNvq+Jfo93ROMq1o8Q4bXyScdQNy6uhzpN+Rs6SW42xp+6LXTyLPADvYhv/jpZuyoodIHakw+lb75o56xBxCxRDdWW1GH7y2TyOwWFK05guqEuBAJvbCGj1iQAsQMfOBGHxCJURDrwcTisNQipJiflnDUc3buFSVM6q6e8q4M8iKR0gqTV4sy5C4jxmPtXX6WV7tNTI1y3TTYakpkUHcWoJGHFCpaX7pJJi+z1Obx2jdNrq+hWTGepQ7yyyv5gQKcdgQNnBLv3d9l5/Sqn19fpdRNwCqxld2+fUebotgVxJEBk6ERjRMT2zj5K3WDz1BY6ThgdHHIwGtNe6mMO9zh9ZoPUjIkiRRwlHBwOuH9/F+sUSIk2KevLqyiluHZ3h06nz3JHs7GxxijNONw7JGrHbO/tc/r0BsJZbGYYHg297+OtKxiTsn3jKjYbs3s/5XAwpL2xSbsdEXdipJKsLneR6Yj+6dM89nMf4IWvf5OPXnyGztIy93d2ee3VV3jsymWW1zYQSERugOby88XgZfkQD6N3h/OBMQZjjXfto3We33GZYvqMj7tUfHdFQLhyXU7iqsqY/UaZ1OHtwgObTlnncqb++K7VRJjiZCJmkY6pI+3K90Vpsp86Ha8WMMOjFFVllWrh70mF0gnpcIBNDbHWZEnC4cEB6TjFjNM8eIBXXKx1uQ8oC1rR7vQw4yHOpGTW4fdb/a4Uzu+8lutZWC8BmCwDOXtMrjgKU/SNUgqtdX7kyOU7HdZHsLUWmx9rtZnBWYfJBWlfhMNZ3zej0YijvT0ODg+xUqE6fVzcIZMapSKE0nnk6JzkRvjAIlJAlOTqdj45CwXIGX9781D1Dqre40lK5SJKgO9f/76cm7otqMu7/HydcPIootyWss/hKuUqnNTm5VX1XXrByH9n7W6f9uUeTmisE1hRCHp2OlYq+ryKTKgSWIr7VcLYXN/KpbaXSc0yqvpjEcWzqo98G8i/n+OCaPi7PAdW9U+VIltFIld9H1XllC0gqubzuv6uI5LKbZhHJk1JBMDZqQ5erD0TXqK6z8P3Xn1NMDh8Zwm8ooILPOlbrPo2QSDbfd7383+a4d5dOqubCJnwud/6TT7y6V8iy0aI8SFmsAtSsrS6we72DocHR1grSdoxUlpa7RZS+wjFg8Mj0nREZ+UUOmqRul3OnTlFq5X447FaoYRg9942MumSiIx+J6EVJxwdHrGzs0un36PV7bCytsLe/R2GSiKVZu/+fdbWVojjiFNnNvjRD1/i7tGAwf4RNrW4wYD7ezuMDndRzqCVRAHjwR6v33qDO1dfZ3njNANnaXU6dPs9lIA0s/jAO4oojrCZZTwcYlxKv78ESnLj+i3SUYaQO7kcIOm127z8jW9y8cmniPvLvPydb3Pq9CYXnriEcGOGR4dkJmN1eQWbGY4OBqydPs04HbCzu8vezh6t9hLLays4JVDC4qKEVqfLez/5aYgS1ja3QOSWZLkgmIfezE8zTYXhEHWy0vGxNKssV/2uUzyr1udFFOl5dawjoqv+FqI4Mv32CsdvBWr7YqotTC/NXOfY63UuIGLD737ydxjdoyBgA2vY/Ijt9Lr/Wzg3IWGC0sJduGllJn8Gv6v+DusTVjXc4qt4hTOEePFrUo9SwlJfzYzj/L8TPSVPNxOwLsxMhDXzFXOFOTDFV1eaawmIq/JQdKWEzL4d59zx6yX5c3ptmnbSJSfIG2Hdj10vN6Lu3sx9x7HbFTJjJQTed6yzfOMrX0bgOHPufH36RxDOGvb39xgPB6yvrTI4GpBaWFpb9/PzxLUSICKEViT9CO0kQ+to9ZYBw6kzW7znfc/zR7/ze+gkQimBtV4uKQJ5exnFk8VeZnEI4RBC4ZxFKY2xKVmaQk5uZc6idUyr3Wbv4AAZdTgajsiMJctSrBB0el3+47/61zh/5THObp2jv9pnPB6StGLOnN6gqyPObm2xtrnO1R+/xI1bN5A4tNQ4Z1BJ7PVOm9GKFQjBeDTk/miEVppxOkIgaHe7dHtd7E1LpDUKCc6ilfYBbJM2UafHqfMXOLV1gXZ/GSskTkikltjcd77M9d3CmbJw+awVfANV30F57QvlvnkkZyH3hmmyLJtxp1SlRxXPSSnzDedp/arKKOpRt8bOcCkVsnT5Xh1BXl6PC9ncTvT++QY5dbrNw5BtPw04wIpgDXB+Vsc5nFC5S0znx6f1vIiIPTMjcLmVaN7n+ECTQimkc8hsRLq/wyGCfk4QuyJtpHnq5z7AU8+9nx+/8F1+8x//t2Q248Kli4BCaMHB0REHN+5ysHvEmJjH3vcMd2/c5NT6JmcvnGF5bYW93X2yzJDECucMo5FhONjnaDBgddW7PLOAsQ6kQqmI4dGQG/eu40YDdGZRnWWe/sQnENJx77VXefFHr7CxscLhwZC4t8LR4QFnNzbo9vo4lxFpxe3bd7h5+z7jDCKl6LQiTp8+RSvR3L63y+qFx2BskO4Ah+XipfO89IMfMTw6QkrBeJRhTUaWpSz1umxmhr3DHSIs59aWWV9a4rXX3uDO3W2WMsvqpXNsbW2RmhTZafMb/+C/40//lb/Juz/wER576lmS/gr37+9wf3eXZ9/7XmId57yNLEw7qJKFJ+NgAY6mileybuqasDjVMU0/FT/CPAruo/hE/LV5Zbq5aebUGCGOx1x6K/Fg5PBkUpglKasmzfK1skJQJmumRUwnvpN8folAoPOk8OQO4WCpInwWnViLtnoBRxPpNjbOwETlqxsAAGH2SURBVBriVoKOtRcU0oQOHaSQGGu80JgTQCqOGY/HuCxFOr/z66TE5K4ejgtd3uIY4YO/uZwICUmuwjIu7FffXxZn8+MQzmGMJ5/97rPxx3SkF3yFA+cMzvk8jckYDoYcHR0xHhxhgQtPPM2prfMknTZKSdLMh3V3Mi+vUBSE3+11SCiCiOW3cC4n1qZ9/mYWmEVIvUUUVSlV7SK8aD0e1C/dTxpFu/b2905MV0UqFkeMwryKNAXKJNzkt3D57t7s5OemlPBcgm9e3erG0KKbTmEb6ojpqvmi/FwdgVo1Hy5SZt21IkJ2OFbnKoc1JE+5nDqCuSr/N/PdlteKOuI/ZAK84u2VA79Y58q4cAhRzIXHFYMC1f5U87Ho4Muf//5MfzzqcFVkSgVRV3cP8n4Q/kh0Z22T7uoG1sLO3Xs8/fzH6G+cxmYjdm5fw6mE9vIa0jpuvH6V4dGI1BqklvSWuqyfOsXg8Ih2u83duwPGmUNlFpFHGu/2erRaMUdHR8SR5u6dewwyS6ffIpEZ/eVlpPLHX/f3D0itIUoSWq0WneUOw51DZLvH/t4uhwcH9FaW2djc5JVXXuNweMQb12/S6ca88frLtDttLj/1DFJ79xEHO/dIjw6JncLc32En9etWYUmOA2sMSvnomZ1+n6PDAZnJGI1Tdna2Wd3YYH19ndevXiOJe57gsJbdW3cY3L7DeOcOj3/o52l1lul2OiRJC0eCUzF2fw+MBaUwkWZ7b5/R3g7tKKLVW+LG7buMO0tceeYZRDaku7KJbvdI2l2kjoHZUzYFrCssnau/w7p1r+r7q5KLwr9DxfiksubNSVUKbtX1eWmPtaG2Vo8GinYcHBywt7eHZ5Bqap3LsTPfbsE4Oi+n1T1XLKxu8qdXhouZdEq2HudWRelfirXYVya8E5Q5m2nxegri2lEiSh1MGlC+GRCkk995RaddMUuCTBT9nMBxwX2cP65OPkassZP8vXWYT2cyM7H4s9YyHo8nTcusmSFgp+VMO6sgWMJ6he8u3LS2uRu24rlpu48TPBNy1gUu4gpCLHctZK317cpTp2k66bfMZJP04Oc3F9apKDese6n+ITE2kSHyTrRMdZXhcEiSJNM6OluZX1GWEzDKxqT4I9qPP/0kf/jFLzzya28hn8atFhcuXmZweEArimgNBzihyYwgSuKJWwUhvf6HE2ilkE6A9AYR/kQlZDbDCm/la2yGk9Pgz9ZaRsMBcaSItLdIjLTGWUuajnN90OA834oAlNaMRyPGaQoIlPSE8Wg0xLsStDiliXTCv/6X/4YPfuRj/NW/+Qx3bt7ga1/5E25fe4O7d25j+31ufPUqcaRJkhitJFGkSa3BmIxIC5RWOGtwmSOOE0we0BzniLTEZCmZyegsLZFlKa1YMh6PiOOIqNUBpeisrnHu8uNsbl0g6iyTOkE6yrw15WSa9BuADudd3rh8e0aIyfdUtf7A1OgrlH/DNa8caK5KHg6fL9KEnERYdpFf+RsKyw2NLcJ61Mnm4fPluoTl1ekPVXpp+Tsv1ylsV/mZR13PrYTIB5PAbyZPmuZJRRnFOKlwIst1AocyBoQjHaeTvpFKeb/gzjEeDoiVBgdaKczBNgOpaC+tI5QGAdrm408qLj79Hv4X/5u/y4++/mW++ZUX0MZihSNqtciSiJXzl3n3u5/jYPc+3/2Tr7AU+bkiQ9JOIoQSZM4xHhkGR0OGI8P65iZxBEJBlqae48HR7bTZ29sniSM+/Mufobe5wcryKsZYrr9xldOnz/Pj73yTa6/9iMHI0F07xfDoNnpjjcODAUJYbu7scG9nl1HmkELRSyLOnjuD0pLRcMTu0HDxzBm++wd/yNNPnCOKYpJ2wvJSj8HNWwgLr776OsYJpBCM18ZsnF5lxRoQEuckTkQcjA3feeEl3vXkEzzz3mcYO8vGuSdxKuJjH/84Fy+cZzga01teIrOGzc1TnN7awvkIHFPdsCBhOf4d+CEQyrahXDFv2PhnpJA4eXxuCPOo0+dDuUjk89nxgqDK/e1xVCh+eQYnq+OFzlvPd9bhwcjhYnIpKdxVHVSeZOYRDXVKbNW9yUsSIY1wrKKzaSvyrSLCwvIKIsF7V86VESmJOj2scFgydDamv9T3vnvTsRfGdB75XAhsflwhHY8xSFQuHCvpFVJy3yWTvrV+IU+zsRe2nIOkRRTFPi1TobSwGp5M7tYyHo/I0mlUcWMs5JaxSimcKaygBUprTDbAOUeWpoxGI5SQHB0eMBwOUdJHmlcYBvvbmHRI3GrTW13zrirIcqsxf9SncJ3hnER4j9QUA3O6oB7/cE8arOWFq4rwWpT0D9MIUfikCgm+agKvuLZIfR817O/vA3D5yqWfck0aNHg0sb+/z/Ly8k+7Gg+F0GrruIBSfTxb5BuDEk+SXn3pe/zBv/n/8Zm//De87/hWl/XT57h3LUW5jDdefJGjvT2IE/qxQirFE089hclS4jQjTVNu37rNODOsdnuMjw5ItEZFGid8VHJrLDs7Bzgdc3Swx+rWJjqJEQJGWTpxVySlxjnH5tlTHOy9xiA1pOOxD6qxsU7cbnP+4kW2v/MC7/3Ah1hb69JJFN1uH6kjELC0vsby6gpmNCIdDdm5f5fxcA+HXzeHwyGtpIVUiijK12Cl6C0vcXQ0JIp8IJF1qUmSFmc213wU9nREq9Vi4/xltBVcu3WLp7TgzBPv4vbVVznf38QKy4+++AXM4R6XHrvMyvo6YxlzdHjIuQsX2D8cIJdW2Dx9mt29A1ZPnUM4i0466LiFzDfTbEDyFPBEmEXKshVD/YbZ8d9BfiXFsLy2njSOyunrlOxFNmpPWltDhVeIWbvPRxHFuvvpX/yFn2o9GjR4FPHyP/gHwKO/9nrXCH5DOU666LgNDlpL6zmhX2xaOE+SW5frdxYlHC6TOLyPzjRLcVLQ7bVIWhoNpJkgTa03mJCCNEtpxRpjDVrFPlYLjixLieMIl+uexvmNQlJDZnKyP79mDZhsjMg3SLIsA6e4c+ce+4OU973vee7dvsv/4//6f0NkYyJhEZlh9/49rMmIVAuTgnCKJNaMRkOEc7STBCkgzTJsasEphFBYmyIjxXg0pttrkwpH0m6htEQ4wxNPPoGUkjs7e/TX1jl7+XE2z5wnavcZpgKkJsotNhF2QvTMrD8Um13uGKlaRaCWSdlwbSoMq8rEbx25W+jTYV7hid0C5Q2j4tkqErbMf9QZTNQa3sCx/EJUyQPlE9Mn6cpVm8fvJAg33VgV+Y6jmP5C6Ah0hHQO66ZytDGecBXSvz9lpd/kMhlaCEyWYmyGxRK3YLB7B6Ejkt5KTuvICYGoBHT7Szz+cx/ifZ/8Uzhn/LfU67C/vc+L3/4aX//s73B45zbx6IiR0dy/f8Dy5iaHgwOwDqcS0tRxb3eHs2e3kMIbNThrkFITCUWajWm1Ne2lNq1khfs7O3z7G3+CHQ0Y7u2ijCOVmq1nnuUX/vJ/yquvvMLK0gp//Nld9jLL6HBMOh7inEIlPWJ7xKlTa2ys9lGRRIqIl9+4zs/9yq9w/bWX6bU1SbfD0f6Ar33lGyTtDr1TW5za2mLv/ja3r17HRZLecte7mDCCJIkYpyN00ua5D38E0Vlj89Qm33vpFbSOuX53yMZKn82tswyPBnSXllFR4ufPnOgvRmLBAS4eiWGyN1pLEFtnj+VX/jZrx9rcb6Tm3oIibEC5LoyinQ/zbIEH9jk8/at6t+kkAf940LRqYrhqsjs+KeY74eXWu9lnwjLrFJdquMmgnOQrBUmrjc1SnMnvO0c6GntL1Mj7JBHWeh9LWJxStFptrwA7C8agpch3+b3bh/FwyGgwYHR0yHiUTo7lR3FEu9+j3+97pdC5SRA5b/pbtMcHtctykrmotZLet65UmmzkCewsS0mzlKODA0zqfRCbzDCwhiiJWVpZQamYbn+JuN0mabVROkJoSToaIKOEKO5REMD5KPCvA4dwxRRcvIrqMREuYFUfYXnzIUTdBztvB3RyTXghxFEIAfk4chZywqSqvHKd3glE8dbWFlevXqXf779jF/kGDd4OOOfY399na2vrp12Vucj3FCtn0XlBMevmp2LpNLkLoT/6t7/P0889z9rmKX74ve+wsrqGOdrn1Re+zWOXLnD79h366+t0Ol0OD/bY3DpLq7vE0cEerU6bW9dvMxyMGcuYVqfNcPs2rX6bbqfDcHBEp9Pl+o9fI7OSJIpR6Yil1VXvqklKsuHYN1Aqev0lxqNDlpaWiTstBodDVKfLwd4eNjNgLRfObfH6K68RS8F73vs+DnZ3eOWH36ffvs/GmVMI7YXyuKVptXq0uwm79+4xHg68+whrcM76I65K4SxkxtKKE6RzqDjm6OiAdDxGt9ssy4z+ch+pNMurq+i4g7GSW/uHbN++wePPvR/darN+/hIGwdq5a4jhARvnzpOOh1zqL6GjmKTdZWgcP/rxq1x56j3opEfS6ntrrNxPWiGeFhaRM0owYuK3P8sysiwjjuNj1kwhylZSFGPJzfrjDp+vUlLLv6v+XmQc1sl2hZXyInm4Qup9hNGsuw0a1OOdsvZCsPkG+ODdUzeAxX0ozZMzc6LAOEcUKaTN6HX72MwhI4USkvXVJe5v7+CsJU4ilFb5uuSJQCUVMmmhlLdMzmyGVApjM8bpGJDe3Z/zLijG2ZjxaEyaZoyyDCMkqcnIrINYs3n2FP/zP///0uv2eP2lH5JI6LcTOt02m5ub3Lx5fRIfZ3B0RBxHnujMMtASm2Usr6xydDQky0YkSVLYOjEejWiv9Pzaqf1R+xs3btJbWuHMuQucvniZpc0zCN1ibDwxLKTCK8PFiVlF2TK4QJV1bJnMLRPDof5fZXVbJnlD8rSKiC5+V7ktK3MOhZuK8Fh6SMqGpzLDOhfllAnnwn1F+Ex5DFatz+W+DJ+tGsdF3Yry6oLmPcrwBhDkPAsFXeQ9Djvrv6sowVkDxmKzsZe/VESSaB8Azhhc5oVvFUWkuctOJZS/l47IskO20zGrW1cYji1ra+tTOUfA97/7XT7/uT/k7/xv/9f0eptgBGl6QDo64ur3vorKhlw4v0EUb/Hy9Tv0Nk6xd/cuwjpc1EImPX780ne58MRllpIW2eAQISSj1JF0EpSwKCy62+P5936El1/8EW9854/pqAQhBavrK35+EJb921cR2fN86JO/wFf+4A85c/o87/7Az3H75k127t5lfWODF776Fd51cYtWt4WOFYPRkNdev85jz32Qi088ydd+53e4cvk0sdbYfouz730f73n/Rz2hvX/AF373t3js6ce5tHUakx0yRvH6zW0iJzi9fgonNO2Vdf7MX/8IUSvhi//2t3n9hy9y9uIq7X6HpbNn6a2uoUWSB+ItjDTf5Hio2ICB6TcixfxYZIvwPXV81fxnTqr3A2UX5FkYuE7J4gfJ64F9DoeDvs7CsjJ96XcV2VYgnITmvZQqUjp8ps4CpirPqkFw/CXnO05K0+72UcIHn5MIDvf2cU7Q6XQxxjIeDUFrtBCouEV7aZW4u4QQknR0xOhwD5uOGB8dMR6OONg/wGQZUZQgZJQfMTJkzjI4OCRptWn326TOomV8TEHyiqMnpZHFzihIJZFSo+MYAezv7zEaDQBH1OogdUY6HtPp+OjvnaUecauFUBFKR8goJopjpNYIpbxvGx2Dk7NjgcKHah70RPjd9qIH68ZKua+r3mn1xgAz6erGQhUKn6UTxqX419UfnSn7VXunEMRSSs6ff2f5d2vQ4CeFR9lqqcBUkBeVm9CLCi0wtbosjrjGseYv/PX/FJ10kDrmiXc9xThNEd0u2WNDbt28xtblSywvLzMcHtHa6zI2Fqk1UbuNySS0O+yODRefusxwf5dIwuaZM+goQo4issxyNBwhVMR4eMTpjXU6vT42TTHGMB4bZNwibrWQkUKToKPYB7q5/xqd0+fZvvoqCEXc0owGY7Is496dG9y89horq6uc2dri/s1rDHZ3WNlYxWRjrMRbLgvB2sYGB3s7JK2EcZb6wCNCsH94yO7uLmmaITKLIaPd6cJoyL2dfZ44vUl6mDIcpbT7S4hWGx13SHTMmXNbbN+8Sn9lFXO4zQtf+TxPPv8x3v2Bj2LHQwCkxAcZEhKlFMtKcery0yTtDoiIifBW867Ca2XF9KQgMWWlurwell1G1Fk2FdcLf4pRFNXKbOX85t0vl1nXhup1fJEjdT89NOtugwbz8U5Ye+t0xzodY5ren6D0661EKhhn3qWgcYJeb4lsfw+B4HD/EC0lcRxhrEGYabyZ8WiEiBO0UmTGkkQROEeWGaRUaB0jpcIacMYyGo4YD0eM0wxjIbOg221u3rqNkZL//f/h7yIiwQ+//z16rQQlIIk0AsfBwQFZmtJuJyjpjWWiSHs9V/kgtOloxOr6OkdHA7SWxFqhc3eDcRJjnaXX69Fd6pO02yRRRH9piaTb48ylx1k5dQajE0ZGgNC5az/vlkLmZp6W40RvmcwsNjcLkjhcJwoiMyR3Q2vh4vnyuwyJ1TIBHPotrnrnYboyuay1nrjnKxuq1RnLFddD95EwPRVcXAeOkcVVpHe576r07pCQrqrTO4UULjCpbc6VTOovHNI5EBodJRwd7iFsBiZDxgm61Wa4dw9nhkgVIVVEahx60r8532Id+9v3AEvUN9y69gqnzj0xYxAn0XzoYx+j2474zf/2v+Gp597Lc5/6eW79+Dtkw0Pe895ncekIiSHNDE/3HkNGCeO9Q7pLy7Q2z3L39g7Xrt/k+Y99hP0b10kivIGf1ajxGB2BtBnp/jZXv/snjI+OuPKux9AiP9ktFU5A3IrJMsfX//C3Of30c1x98QUGOzv8wbVX6McJiVLcvHWTxy6dp9OVjA9H7G7vcX94yAd+5TNsnLnAn/ze75KNDtFSIZWg3+2TbJ3l9JV3QRTRWd3gI5/4eX789S9x72jI6vlzLHVW+NRHryCV4oVv/An3btzg9e/8AR//RcWZc+d593Mf5H0f+hidYj1wDiminBj2pzJCA9B5GxRV3FDdvcoxM2eMnzT+q/Jf9Juplo2r868z2gjz8t/41BDkYT7dByaHw8Krrj0IYVbekat6rq6ceXktmndd3eufLY4RCYSOibvefYRQCh23scZhhSJqJwgdMRwPkA4QmjQ1xHhfXRL/wRokUkckbe/TSuuIOPL+q5xzWGfY39slHQwZDIZEXU88J3EME8vtYscRlFRY448nmdzHmHOGNEsZZRmxjkhabYTyxG7SW0IJ70Q/0j4oj4wSdJygVOQ1W6WQWueKpMDvxc2SFOUFqcrhfd1Arouk+rCoU0DDd+lc7jA8f60CkVsCFM8+2oRvgwYNfoZQTEc1xPC8jbMqH5IyJ0zBBwpq9Za95apwqCihHbWQwJVnV7n0zHsBHz19b3cbcfMq+9v3MTIi6mpE1mbjYo/Oi69z5/p11tsxvU7C0uYamTFErRa7+3uMnEMmMXYwYvPcOUQUESnF6OAQlKbbaSOl441b97h4+QpSC3pLBwgsUir2Dw5xQrO3u80ff+FLdFbWsMbyyo++TyShlbRRKmLncMiZS33279/1x111NOkbIQWdToeeVljnSNOM2DlUFIFuY1LLqbVVlk5vsjqCTncVJQbESYQ4PCBu93BScv31l5BRC4ekvbTMmQuPs3nuMYyz7Ozts3Fqi2TtdGDv4P1JCglSkEfRFpMTNlXvsYzytTiOiaIoF5SrrQ+qNkyr7pWV5KryqjbrTyKI6zbsQ+G2rOCG+dRZPflMaZbpBg0avK2o0zWr9MSZNPl//f9cfspUIpDEcYvllXVube8SJy1Go+HEUhi8S6HMGjQq0AW9z93MOhAS6wzgkEp7a+E0RSAYjceMU8PRaMwwMxylKVIInvvAB/jP/ou/w9nz5/mNX/8nPPfce/n+t76JloI40mgBxlhMmmG0ImknSKlQShJpiVYSk6Zoqdjb3aHV7oBztOMIYwyRKnyBCk6dPUs2TlleXSeOY05tnWNl4zRL65tkIsothiOkULnBsAvcBMlJ79WRtuXrZTKzIFDLOmn5nVblWxesPrQSDv8ung9dTpTX0UIfLgcA93q7nFknq0jr8jgsiPECVZbT5fZVudcI21rVnnLby3k88piQwWUjw+K0uUPoxAc8NJbMQavVYXi4ix3uo5VCSIt1GcLJiasJKQRKScaDI9LBETKJicYjWipBmhE4i5NiYrDnVMRT732OXqvN0cE2X/t3v8dmS9HuRmSRYJD60+NZOiIbjkjTjMP9ITt7B6ib27zy0o/odhLseIyMvBsX4yw2g7FJ0Z0IO04RQhInFt2KMBiMFRgzJokSdBKj4phkqc/5qMvlZ57iW5/7I85vbXD2/CmkM54gzzJ/ymA05tqtW+h2n1/5K3+D7Vt3+IPf+MdEMuOZd1/m/MXzqEThiPjWFz/P6z98kV/4s/8JtLqIKOHUlXdxlBqWTz1O3IqwmQMs5y5ewdqID3/6T+cxu1oIVibvKH89s8YSgmPfyPQVv7UbFlWbJg/CZ5Y3aMK8Zut9ssVwcf9h2zgri8/+uwgezK1ERcOrlJqq++XOqlIQqsqbdy2cXOfVq6zMlNOW8wuPchT1nVVM8v0MqdGdLrqV4DLrjwFphbGGVj+ilY7JhkPSsUHhGO/vkeUuJWIdo6XCdbuToHNK6dwvcBGx1tHq9hgfHXJwcEAkNRkjsjRFR7EPCGAyrDUoKbyvY+knvjiKGA0HpKMUf+xIoZM2FslSt4+ONLrd8ZFwnSeUpZYIFSNVhFbePYaTPsAchbVtwaGKad+U30t5oSn3cdW18rPzsMjOSd0z09/FohyO2ekmQHGtSnldtJ4NGjRo8HaijgCcKh8iD8YR/rb5Zli+HiIQGMiDCgkkCIUV0p9CsRalYGU9pt3tct45hoMDwJFkGVm2Tbq/x+nTpxDjAaurp2n1+oyOjmh1Yg4GA+JOFxG1GYwO6Cyv4ARoLbFyyN7+PtHY+2N87PKTbFx5isP7d2j1DjHWsn/3Jo9dvsDK2ho3b15lqd/l3R/8ECpqIbUklo7d+/dxSLq9DiMkQke0koS79+4RxxESgUsNB3v73reY1qgootVqsba2xuHuHru7u9zavcv2vRusX3wa4TJe/eH3ePq972O1t06Wjnxd+2tsbF2ivbxBu9tDqASLPwrbW0snQTOEM6g8qjJC5KRwvogGikr4vhZZL8vvfjgcEcfx3DUpVELLqNrU91nNKqnhMd66NbhqM7gss9UJ+CflOVtpKjdLGjRo0ODtQDhPzZunc5MdJsGGnMvnKuE3YXXE+ctXeO2llxgPBrSTiCwbezc/2p8mcdZvXkrtSVtRuIZwILUiTc3EoMXkFsmDwZDhaMTRcMhBmnI4HDEYp3zi45/gb/3t/4x2v8fv/fZvce3qa7zn8Xdx9dVXWO13MOMxSTtGCkWkNEkck8QRAogiTxBLIXOjJkGUJCitcTZjPBoghSROEsbGoFSETjoYGbF15QmWlldYWT+FStpYqUitAx0hhJr4gy3o4HzWn/Rn8W95TYEpoVlYD5dJ4vI7CtewcP0KXU8IISotckNL5PI4qLpeRRIX+YR65Dw9uLgfErMhIVy0vexWrCr/Ku6lzI/Uke9V9XynwBI4I5hpwpSEVHGC1BEmHXpfZKMRHB2RSnDGoIXC4BBCIYVAaJ1bE0O3tUJ7eQljDDYdEwvH+HA3PyEeB8ZnkiTpcuXZ5zDW8J0v/hHf/MrnaSWKWEc4k6I7XUbjlKVWTCvRvPzyVQ6OhvTXNzn91DN88NO/TLq3Q7p7B60j7m3vs3HuEveuvY6OFFnmGKQZa3GXSIzRGnb3h4wODrg7SOmvr3NpaYPt7QP2R5ZOt0+apWxdvIgZH3C4t8f4aEQ7UUSdiKtXb5OKmE/9uT/P/Tdu8+Xf/22effZdnLu4hcHS6S7x5S99haSzzPuf/xB/9Pu/w93XX2Lzsac5c+ky5648ziQIr7AIp3DOkpw6x8bpiwgpAhGuIjB9MWU634PGGISsDtAI9ZzPXB7vITFPJq95oiKPh82rPs8Tn3jAtj+U5TBUKzOLkK/lSr6ZiehBX3bVZFlXxyoBIHx2MpmqGFSM09PnpPNm3FolREmHaDj0AQeEJNEKKfLol0ohtM4N5y3SWsw4BSwin7C1jNA6IWl3ERjGo8EkwrLKXT+kowxrHUqKPFicoNNfJopbHB7uIxy0khZRq4uKx2itiOIkD3YAQgqYONhXSKnzMHxFp+Q7HZMvlhnH3XW762E/ldOVd3OrFMO5yiH1779+/BWsdrhwu2M7NM5Jyj5u6vJ8py6cDRo0eCdBHCPE5gkWkzkNgRAWWxzPMgZrsolPQW+IJL0fNvJjjJMMfJnC4QlkGZG0e+Ac3aRFOhqSDg/YvnebKHZcevwSN197nTOPP0bSWUIkXa9Q3r6LsikudfRX1mn3lrHWgNLoYcrIOd73yV/0ipD1xOnh3j57O/sYp9hcXWXnzk3u3rrO/sjw6f/wP+aV115H6jHCwZPveoLl5RVcNmZ0cA+Xjlg+fYZ7129ytL+HacXghD/eiSOKolzBHrF3dEC70+HUmdOcu3iRzFhu3rzN3VdeRJw+hRke8eMf/oC185fZOHOeM5uXka0eUZxMXsbktTiHQ+fvBayQCFEoa25GnhPBDuvsBvus4HjiqBCCKIqmZZywLtflUV6Lx+MUrfXcdTlM/yDyW1W9QvJ6scjo05gBDRo0aPAowXMa3lDHUfDEAmNBRhHPffBDvPj9F7h3+xaHoyHYzPvfz1LiOAFgNByi2m1kmiKVJDMWJS3jYeatizN/FN05QWoMGY6DdMRROub+4RFPP/ssTz/zLB//1Ke4du0Gv/6P/xFSCH7lV36Zf/qP/hGry32Wu21ascZlKVE+32utEYBWPhBXlCRIIUi6HVZWlrl19y7GZkhribX2S5v1/uujVhuhY7YuvwulNDpOQGoyJKm1CBUhC5cb+NVKOq9bOgFCaiTzrVPLlrJVZGxI/k7eiZu1uA2vhyRsuMaFv6usecsEa5lQrvM3XIUqfbaKkK7aTK3bsKiyYiyT2+U6PNAm7aOMnLMIN23838VWhEBGCSpuocwIpwTDwQFKOqRTmNEALMhWGyMlVkpirWlFCcZmGOeQcUJLJwwO9shMRmRT0uEhSTeelCkdkAdVE0rxvo99mjMXL3HtpR9ytH1AKxZYDHb7PpkZ0e202Tp3lhdfvsEv/sW/zrnLT3Cwu8uv/cO/z7svbQKSpc2zPPG+97N39wadJOb2/gEibrG9fY9zpzcwGDZPneLmcMRRNuTg7n0O9w85PBrz2Ic+iUSSKMX3vvFtkA6XpUgcZ0+v0WqvsHR6i/bKMsPtu3z9jz7LR3/+46yc2UBKTafTR0YJz//yadY2zyCF4NsvfA8Zt0jaPYTNT5kL8rMEMrc2kLmBBJONoWLT7JhBngjSkH/HwfB+WN4l/I7fLu6mmnua/8yb+bYeRM5/EDwQOVw3cVRNMCHmkXtV909qRNWuYN0EXn6ubEVcVc95A6jOQvZ4/Z0/Room7vQoDs44IDMGqXJfS2iEwFtuCYGMvG2Rcj6CJg6kdegoxlpDfzUiG4/9TrOzIKRfgAGTpUgp0CoiHY9AaLr9VXDOEwBS0ur18g9NIHXLf7QypHoF1gkI6OGQ8K/aECj3xTwrovI7m4d55P+8Z6sWvzAbP1b8tUKRDyeoch3rxsxbtRPVoEGDBg+K+fNnbr9kPRmMEEgB4+GRF5q1RjjhlTLjj6QplW9aCn8czpOdXsEt1jSbjj2hrCLi7gpJu8eFdwmW1k5zeuscFx9/Fh1LtBKoCKxJMVlGJ1LESQvZ6iOFRkUJqRZYEWFdwuEw5Y1XfsxyN+GFb3+LbDRmfWODj/zyZzhz8Tz3b91AoPjIu95Lq9tj52jM4PCAJx67TKQkmQArLKq3RKQ1Smsi5bDZEOc05x97AovkYGcbMxwwHgw8SWwch9u79C+sYmVMd3WFJ09f4LUf/5hWb4lnn3oOtKa3skHU6uFEVLNnX3W1gvwN/lvcC9OUiWG/CaxmFEyYtUIKrZ3K46NqDS6vW+W1vVCSy3lV5Vt3bZG1e56QfpKsRrMp26BBg0cVXqnLLeKK/3uCxBjLuStX+Kt/62/x9S//MV/74h9jRgPSdEyWWpzFu3DQ3uWflpqjwdAHbrOWw8EAM85ASA6OBjghORqNcNL/mznL/+7v/pd86KMfQ6uIL33xy/yTX/s1fuWXf4nzp0/xT37tH6JwdDsdnMkwGfTbbeI4pt9fYjz2PlCF8IYzNsswOMbjIaPhAIPz8QSEwFlDFEUYfKD285cu01tZR3X6OCfIhMJYcEJ6YyQh/ElVLAJHHkoVmMap8evC8UCqBZRSGGNI09Sv4RWbiSFhPC/warG2FGtoOZBcmRMolxWumeU1K/y7zl/xIvpjOU2Y10l6cJimHNwu/LfcN+W/35EQTOQENzXjnYpqDpSKiNsdsuwIm41pt9uMRw6dOkSrDVKitabd6ZE5GO/tIUcjnHA4GfmT1jqm3emxv7uLGh4hRwPorBasMEUsIzcxlY9YXjvLG/HrnHv6Ai989YsM7t3i1NoaG5sbIA3DoyHnHn+CrStPMRgN+J3f+DXc/l26vSvc3R/zvo98jB//6Ed0+232trexw5R0MGJ5uU3cihhngjhJeOLpp1g7MrjOMt/8/OdZXtvg3R/6CIPBIc98+MOsrqxx47VXufri97h4/gznL11k7dwWR+4VltfXODo65AOf/jTnL16BJCFuddBJC4SijwbhXXR+6Bf/I5Y31wFvYU1O8Pp+9z7FrfMnICZ2LrnRSSUm5HE+LuVx+fMk/qUqTd3fVc8ucr2OI1yEN1zkXp5ihr96kDnjzXzDD205XFeZeaTxW7UTVaVU1FmQnvS7yurlpHqHdSjv2pUJSR993Ee4LXJVWgdspQOXL5MChI4oAqblngq9FbG1aCfySOljH1kzS7G22B0DazNAoHSMED4SexTHnpC2BpAIqdC5pZETcvJxTmpXGB9VvJrjimz9h1an2C0yaMuLd3i9PM4WfXbaMAA76f5pNYoP8Pji36BBgwaPGuYScDkxnKVjr4QJMCbDmQyLQUcxOmph3ZhslGFNhjAWqRQo74NdSpVHEheTXJER0jmUVH6dEi1WT51n5dRZwNHpb5LaMenRATYbIYXGCoVVMUZHyDhBJjHOWG6/+jpvXLvB4+9+hh9842u87/n3c/7SReLOMrZQQKXGipj+5mUo/Dc6w5Unn6XdbuNMijMZzllMOsYab1Vl0xGiv8ZI3iBLHXFvmasvvsi169e4cPES7dUVhDMIa+nFMaLdJYrbiGQJooTL7/0QrU6PqNUBocAJrHA4YZFuGsitvJ4dHR3RarceSMmadz+O48rrZTcRZTkm/DtUeMsb6VX1KILnlO+dtPaG98pl1LVxnsw13bRt0KBBg588Qj1iUZ1lYpsYqhyARICQpBaMkyytbvD4k8/w2isvo2yKcJYb12+A84Hout1lrINhZtg8fQbrYG9/n3HmOEoNSytLXLxwmc9/4Y/5xKd/gctXrnD73l0QgrPnLvCdb3+X3/vd32V8eMR/8Xf+c778+T/id/7FPyPRik4roZ1EmNQRxxEIgTEZe3s7JEmC0JpIS5SAVhyRZin+BKkgkoJISu8nWWmEjllaWuHyE09z5vxF4rXTpCLO1xGdB//yDLmniqy3JnTOn2gSIKTXdq0xPiZCTsKWCdAywZllWXByJu/nkh/fYmM1dCdRrIt1unv4Tue997JbyzKJXKUH122OhnUJg9eF6cJ+CfOval/del3Ur+p+yGuUXVaU++WRh/WbD37MeUMILJNNDwCpNSKK0HFCajL/jJAYvEvNop+yowFKRSTaG95JrYgijcvGHOzcQ0lFq5XgsjHZ+BBrUqQsrIcDWcb5uBOdbg/lNP/uf/6nnNtY4bnnniWOJNlowPb2Pvd2DviFz/wVJPDiF/8t17/7FQRw6+425599nhd+8BL/z//L/5n/1V/+c3QjidWawf4+Fy6cIxWa7soKcbdH1FqCG7f48uc+h7WGT370w4yHh/R6XT71mT/D5373X/PjH3yLX/zUx2kvrbJy/grtpRU+eO4ppI5pxS1PACudc+35t+zISW9vWHjhyhNY4QnfYkfMFRNgQQaLwoLYo/C6UzlW83tlUfMkOfRhxubDPBN+t/MI4qIP6uTckzhMf332/iL1nce/Loq3xOdw8W+V0hH+rtp1K6crT5Z1aapeSFV9HgSLvKhyXeYKDIWYkJOtIiBgXU7LFhOHAHw8ApEr3cU35g3zUX6SMg6ElijZQurEf4y5v+DMGpTUvmSpJou5lDJ3U1HkF9bRBXywy7/uIhL4cYWzTAyX+6CqX6qI5LoIq4sgHGvhEaN58Pdnd2DC56b1qyejH2R8NGjQoMFbgUV3scuw1oDzZKoVkI2HGJNhjENHFh1JhodHKOGQDtJ05P2qRRFSxTipEdLghEQqDUi/8ZhbJXtDCIcrtjGF8wK1atNabuHXD8MzH1tjfLTH7etX2bt/i+svv8Ct169z6+Zdtp54mp/72Cd4/8c/TdTuYoU/UaOEP2sjrPfg6yZrol85jZNY6euZH+RET5ZXATajvbLBuSeeYzwaYl1G0r3Bu55+D1sXL3ll11p/uFUoVLtPq7OETtooHeeW1WCFAGy+Hkpvbe1mXTCE76Hdbk/ezaJCXNV7fdBn523U1hHHi6BKWS4/X7UGVwmmD7rOp2k2Y/EV5iVEs/42aNDg7YVSs2TcSSinK34K59dLgQQV4YxBRS2SdocPf+yjtDW48Zgf//jH7O3u8cbV66SpAQGtdoezFy/x+quv8cSTT/Ha66/z7OOPs7S0yoc/8jFWN7dYXVtnOB7zn/yFv8RXvvoV/uv/6r8iVppf+IVP8xf+5t/gf/gHf58fvfACGyvLjIcDTq2v0l/qsbN9H2cNQkCn0/Zxc5y3Xsb5wFvpeOjnYSlJkhZSgJYKqzRxf5mlU2e4/OQzrG6cQcUtMqEReB/Fztmp7mUthQFgQRZJmfsLLtYHCv2eSh3SWjuxBG63214nDnzvVumaxXUhphbC5c3VMila5Oucm5DLhS4drmPzLILrNmHrCOii7LCMkCAO08Fx/8nlwHzlcVlFUFcFmwv7650M4QCbb9YIMZVXHZNrBok/oC28YUS+MW6kwjmDjiKE8q5ThLP+t9ZkzjBOU6QDGSV0ej1GoyGjwRERliwdEuf+wyHkcnI+QQje87GPc/nSGcgGjMYDhjv3MMMjvv+Dl3nPp36Ji088ycvf/hp//Jv/nOHBPueffJrN85fZ2Nri6a3H+Et/7X/JWKboSHJqa51b3/gWycYWZ594F61OD6k1Vrb53Je+zvryEuceu8TN29eJoxh9aovtwyGf/a3f4jN/6pN0V9fZuPwk7bUzSJGfGLT+O3d5A0y+2QPMcFcOQHgTSIHAiak9cN3mQnk8V30/tiDGCpL5EcCi8vNb9e1UfbM/KTyU5XDVy6ybCMvPPSiqdgqqyq77XVenqgFaN0jLf9eVN1tOOLk6CtJxcq3YIBEE9wpCuVzZ/B8p0TJGEDFx9p1v5FjhyGnhvC5QuDt0k3JnCp2p80zNgx2dY1UpLWbzBm7VIliVtmpHdd4OaLhw1X0wdYos1Cuos22qbmddOQ0aNGjwdmGyWVdxpKNSERHkQR+8UuawZCbFGoOQ3t9u3Ol5F0TDAwQWrMEJQZoNiTvLmMz7JpY6yvPTuNw7sZ8ixcRSQHrvgYFgWMyfnnhtt3tcWl7ncPs2O7euceldKzz1/Crr5y8hWx0QPiiryBXEYmPVlU6MeldMjn6/X+qDYE0AUBECSRT3iPt+7euvncndbFgik3l/yFHs/SDKiMI/sCv+I4pWqEm+zlmyLMM5N7Hqnbe2HX+PJ/vJX2TNmSdLVW2qz5OJyutu3e/wWrn8/YN9kjipDYwnxDSATtmqKizPFUcPqfc93Ky5DRo0+Ekgy477qF0EQogZs7dwbhdCYAUkusNjTzyBcCN+91//S2688TpmnKGU5sypM9y7dx+ATq/Hl77wBc6c3UJIuH3nNq9dfYOdvUOGB0Oyccp////57zh99gzX3rjKC9//Ln/2P/hVPvnxj9Pv9fgXv/Hr3L99k3c9dgmbZajVJaSAe3fvoJWk3+9h0hRr7cRaOIo03r+FQQp/ilVI7+ldJx3i3jL91TXOXrzM2tY5VNLFSE1qHEJZv3aKwuq6aLvvi4mIEpCQBRFbXC+TrqHFcOgLv9y3UnpXHCHqLITDdaggWovfUO0Hv0ovDa+X86p69/N4hHI/hKRtOb+wXuXr4Tpdxc0U9SufECoI+KLscv3eSaTxVIsPL/qT2NOfAqTEAkL6oGnWOqTyp6yR3k8uUuKkBOc3PZQZY5VEiISk08MKSYYkancRTmHSIanWaO2NJIpNkLBuSmtWth5nuL8Ne3ewgwF//M0vsHr+cZ772Kd59fvf4p//9/8v7Bie/1O/yrmL57lz+x4vfvt7XHjiOf7q3/7bOGcY7G3zr37jn3Ll3e/jsQ98lFZnGYtCSBDW8gu/9Kt0uj2Sbg8nBEhvvdzuj/nP/8v/miRSmPGQzuomVurcbNEiFD7QsgMhXR5cOfzupryWIz8Z4XJqqsJAgfxyqMPUybGeSJ++s9yisjLdg2De91e3qVRlFDmv7uHzJ6Ur51XHQVbVu64d8/J7EA72oX0O102OYYXKBF4VCVvOY5HOr9uJKxaVqp3Bcrq6/MqduojlTF2dTyKbq17avDpOFf/CHYRECoedSTolmsPf8+pf917q0s0jbk/Kt25gP8g4qCOMQz+M8/q9LCxUteEk5fxBPvwGDRo0eFhMiGHnJrJZ3fw0mZcCx2pSCoyxjDNLu9PmcG8XaTPaaQspAWeR0gt1g6NDZKQRzk4Cp1prkM4itPcx5qOne9FbK+/vXlBYEtQRlxKiNr1Tl+htXiwcJnkLBeFp77A5de2rI1ar+y30BQhCt/JVk4nPQ+eE72AXrm1uQhBXKXTlY6zl+s4jb+fVdd7vujzKEdDnlVF3v06BXDQ/IQT9Xp/Dw0OiKKp9b4Ui6tzUD2Q5f+c8AR+mb9CgQYOfBqp0j6rrJz1X1m+k1D6oW9zi0lPP8ueXV/jBd77DtavXEAhMZuiuncIYS2YzPvGL72E4HNLqdvlzf+Ev8cMf/IDXXrvKl778Rfb2Drh46Ty/+pnPsLa+xl/7K3+R4eEu3/32t/jhCy8wOjrk7KlVXJoRtxJvHSwEWrRptRKyNKXX7WBMipbKB+TCoJRAK42SEuMcQmmSdoezV55g/dxlukurxN0uxAmHxqEQqChGCOv/j9/ss1OxJdcHpXdZVRDlpZMnxWmRwrVCsV6EOnkY+C1cu8quFcK+ryNJQl23sEAuu3QIyd55evIi5HE5nzCPgiAu/CqXny3aXtX+KoSyQWE1Xe7HMN9yX72TyOAyrHOBYVyx6R+Q5nhZUEcRJieBDRZXWI5bR6R1Pib0hO8UwuehVYSKW9hszOgoBa38yToHwhrUZNxSKTMqJGhJe2UT3e5w7ep19gaCj3/sU/zrf/Y/sPv6j3j23U/z+POf4NyVc9x59UV44w0QKpdhvZuG7vImn/kLf4nvfuNrWAujg0Nu37nLxSuXsNaxdvrczDdSuC0VSrG8vEGrnRDFXm5TvoE4V3gDd55Qzw1TiqFQyO8+TSH/e1Fa4gnoKjK3Sn+ZfivTjSRm/vJy4U9yHFaN+0Xn/Hmy/Fwy/ASdrq79dZziovWuwwORw2UH7VUTW/FveQKt2gEL01Z1THlSrJuoyp1T19FhfnXKUJl4rJqY6+pbLuMkVJGUZXcL5TZNvjgBYCd+W3CBm4rppYXrOG8AL/JRlhXoee81xLFFumjLgs+ECI/jlN/dvMW5ri5VbZtXfoMGDRq81bA2nPOrcXzOnpXNMpOh4hiRKz9SSHa3bxNHEVL4rNN0jBCeTHbWeGsA530XD9MRQkpU0kZKhZQKYywGb+nknJsRxgtCG4r1w3qrYOGFTCsBJ5AuJ2Yr2landNWt2+XnZq1qAOfdbAjpy/RuIhw4ixBqElm+yKPIM1Q4w/WlKLeKCKhaWxZZR09KV1fegwrO5WfCNj4MhBB0e93qk09BmkLRrpIby3/PR7MGN2jQ4O1F2a3NWyX7OymxMsFYg4w06+ce51PnH0c6wXgwJMtP7WRZRrfXI0tTxlmKMQZrDO//6McZDYeM05S9vX36S316nTZ72/f48uf/gO9946vEWtFpt5CRoN9tMzg4QAsLWpDECSMJQliSWNFuxWSpQClv5SiFI4o01loyB53+Mmvrpzl/+Qrr5y5DZxkZxVgpyCzoSJGlhixNSSKFd8UksO745qWSCufwbQlI2GJ9KEjRoq/nuUsI083TN8vrOVRzGGXiuUhX3pCF437/q8qqulZ3r/g35BistZXBaMO/q3iRsr5b9h9clqNCQjy8X67jO4korvKZPMNR+b98DCgh8hNkmvygnD8FJwTGGnACJRUmyzAmRckEJzTp2J9Ai5OE1AFC5u4sACu88YVwYDNvmUy5Pv4/Oulw9tJTbJ79Ab//m/+cD7/v3fTfdYZbr1+ns7SCMbBz5y7X7tzh+U9/MPfa7ZBIjLJIUo5uvcG3//iIu3d2uPzUM7jLFyj8/IrQ7y0ut+61ObPr42KRV7Xgkgjl4ZwkDvkmR/HslHjPG+STCAfO5QHqAn6nZryGn1KZo3sQPmgeiXqSTL5IeWVU8UN1PGJdufPqfdJzD5pmUSxEDheNPDg8nOw+lSefeY2vewmh/6DiWtUkWiaHF5mQFxlQ5byqnq9bcOa94KqFpk6ZLCtoVb54jwknQbGFf+KprjRrhVMmnxdBlQJcbkPxb1lxhtlFs4qsreqHcvnlvqm7Xi6zPH5Oen8nKdtVbQ/T7+3vzdxv0KBBg7cSDvzpkGCKOZFQsxKBBsZYXB5ZHEyaoeIEKSOkNSjnyVpjLVIqlII4bpOmKVJC6gxSSVQRGM1a0jTDKU8QSzEGm5KlmRfuhEDpCKGjGUHYWzm4iYMlWbhFEsXcWb87Xp7D6/zMz/c/L0BoEI4p1y68NFwme32hx/IO19K6/p8SoGZiHVVcX3TNm7f2hmXAVAFaNH1V/9QJyGWr5Kq1NfxbcPxeVZ1C/5BhmrLSPg8uV40aNGjQ4O3CSfP2g+RToFgDDeCE8kHLlfLB2SyIliIRoJXEZBkOUC1NR7T9WpW7iYqjiERKljbWOdjb4U++/HleffEHHO3tsrbcRVqHEA6hJbEWuFiRZSlJnBApELFGSj/vtlsxQxxK5T5vJcgkQSJI2j02zmxx/soTrG2eRrR6pDImy6MPFNNwFEeMR2OyNCOKvG2jUpFfQwpiyIExdrLhXVjBhjpisd4X1sKhm4MymRvqoGXL2DLCfIuyq9azsGwhvCVvSNqGeVetj/N4i7IufNI6PY/gDMsvyqrqg3nPz5Mjq3T4qnSPKsr1P9YPgBMCqTRCRQi80YTIKRbhrCdFrSQ1KTofw1Jq757MGlQUIZwkSw1IiVASq/JAzlohhRclrcm8W4ZyHxd/WMv1G9dYP3OKj3/yQwiTIqXl6OodVk6f4rt//Hlu/vBlnn7fB3n6/R/BCcFwNCRJ2mAcIFk9c4beyirv+dAnaC+vIgo3EK6CwxAWpGBpuY9AUZCzM9VzOYksxERGnrgtFWEf+oa4yQWXy/XTsWKtZTAc0mq1vHGGqObgJu+mZoy92bn4pDEcjpl5KH/j8/IJ02Ym88G836Jv6EG5vQfBQuTw/v4+AFceu/KWV6BBg38fsL+/z/Ly8k+7Gg0aNPj3DYKZEyGTy4FgULVhJoS3GDDWEsUJ2dERWZqhdEQUJxgzLp7II4srpNLeHkGAVAIpIoTw/tGMMZjMBJY1Bu+jLXQDIL0grBTe/VFRQt4QX7FpXUu/F0HYvjAYTUg+1j8bduBsneoI1DoLobq6CeGDm5StaOflcZKw+iAb3VWCadX9uufnEeHlfMP0J9VnXnsLIbvYUK9T7t8pimmDBg0a1EF4b57+tIogD9YmsDZDS5kHhTMUgTetNQglwVpPDssYJyPvV9RlfO9b3+SlF77LereFjgRJlJCOxxhriFoJ2WiE1gqtc4LTWZJI5qd+LOPxECFzf75RhGy1aXW6LC+vsXl2i9VTW/RXN3E69kG88k1lP2d7FxISSJQgzQxSxnjBxSJQPlbBxOWjQikxM+eHa0axfheWxVVka7guhukn62+FD+FJ35fWqqrTulLKCYkcBqQrk0HlTd3yZkI5/zCfsD51Bk8hmVy0Kbxe9E95rS9IcynliaR5gbKcExJ7i2zYPqqoJOWZ2tQJGYGQE3mZfFxbh9/glxBF0oupTmFMhhR+vAtXfJuKcWYQ2pFECSpJQChvkyAA531hSx3lfTlj6wFS8Z7nP8R48BSDg3vY0YDBwQFZ3AULL7/6GpcvnOPKk8/gvTY4Eu0DWwoE/eVNPvDzv+r9Iuen4CiNt5ONBEodJ6b9VLJInO5widn00073/xHCbwxJKWm1kryP/f1JXJGf0CmwRYjlqo2ERYjiujTHNyQW/4bmzVuL4s2QxwuRw1tbW1y9epV+v/+OnSAaNHg74Jxjf3+fra2tn3ZVGjRo8O8hnHNUyU8nkm8uJPckQvhganGr633a5Uu5zdJcAYiIkzaZcRiTkqXj3BpCIY1BSUlxTK3s208pH7jCWeOtElzkj5XVCEN1wuo8orsqj0IBmpLTC/QlxwnkkxTIk/I7Ro4+gBBYl2ddOd6Pox8TVe0oK6cnCcXle1mWzQT9Ce8Ph0PiOJ4RoquUzqryqvwjhyj3YZG+HOCnuP92WEs0aNCgwdsJgUM4g8JbG3orYoswDmfGDI9G3Lp2jaWlPs45drbvk5mMTqeNNRmXH38Xxsa5ZaBFOjizscHBxgajnTv0tPJLf6SI8H570T7YlhCeoBDOeCtJKVAyQmmNFJJOr0t/dZP+6S2W19ZZWl4l7vQxImIsYwza+x+1WWFQ6Nci60kqLQSZ9b78pVSQe3Z1E7PC2WBnBaFbuO8oCOFi3i+fQoX6mDEwS2iG90JiN3zWWlt5YqUgdeeRwVXrXnmj9CSL2/LaHP5d5T+5IIaPueoICODQJ/GDkLrl/gxlpfJ6/06CzL+xmfdCwG8KAc6PUSnDvrIYm/kRLIOTaVIgZAz5OBfKv49OkoDMXVQICWLW8a6QpTFT3BIgXYYxY+KkhVBrXHv5x3zjK1/lXc88hxOSv/g3/xY7N15Dt3vICbkskJPTUwqEmhCvM1YQomRIgpjIp5Vyas4ru/C+C4xTCmJXTH9P8gqHhsO7lckTSlH4MS41fw6BWWXIcBLqvre67yyE/25m082r36LfVvFsnY7ysHmftOGzSJvrsBA5LKXk/PnzD5RxgwY/K2gshhs0aPB2QhTS7My1OUJBHjxCKoW1ApOlxEkLZy3ZeISS/niqcV45c4DUkQ88IyU6isB6odoJgbAFIWlR6NySuRCAwau8NpcqHdYYkMeDcEC1Mrfob8D7MMtFzCiKKgnmOpxkBVxFTs/r53kKalW+ddY4iwpuPp23yLLWVQZ1W7TuBcoKeJhnqBAW1uXFM3VKcB3q6lLOp/z3mxHKGzRo0OBhURBIJ+31ucl/FoPAcfv667z0/e+xe+8uEY67t26jdcR4bHjj9dfo99vEOqLd7XDqzBYyafP0e96PkC0c2hPL1uGE5NJjTyJMxu1rrzM+3Gewv4NOBwiMD7oVR2SZQUiNdWIiGzihESqmu7TM2sZpNs+cpb+6geqsIJTCAalxmHzdkQDOeHIqX+slEnJSzTpASbIsJYq8CwnnMrw1ZjFvT9fAYuOvbBUcBpYv1qeQNIZZgrYglsPrBWFaJmyLvMP1tyBcQ4K1TJKW63hsDJTW27IlbxWxXCZ/yxbARZmVJ6SUd2NQkHCFOarFeUtu5eU3W9S/4PPENMBY6I6yEC0Cm1ofH6LwGy3EQt/CowhBnTwkQChUFEFu3U7uLkUKkbuFyN97LlNbxySdlL7Pi67zGyfFZoP/PRnL2p+sg1xMNgYKol8IhFSMxymjUUZ36QwyarG9e5cnOwlR0qW1vEZ/dQ0p8k0X4QuejKdiTC4gr8qZlxjIu0xsSvLvdZpqUXmyXF7RJ1Wb/0KriSeKqmcfRLZ/s5j9RqfXFy2zaiOo6vcifThN47C22i3vg9TvYWKKPFBAugYNGjRo0KDBTx5VwlGdxatzzlskKI3INM6m6FaHdJwiTYbLhv7YKg6LIG53EUL642iFlaZUCGcnv4UQICTOmckOe6g4WcAHdxMzFgOLtGPhPmDW2sEGbX5QC5kyQguieRaudXku0q4qi96yoHcSge3rpxDi+FHRsrKb55or89V5la2jqoT4AlVRt9+s0F41pkPr5YdRSho0aNDgTWPCZZ7EDrvFSTMHYLh36zrf/soX2b15Azs6wmWWKG4jdUysBAkRvSRhqduipQXnL1/izLlzgPdp6nLiyjhHlLQ4e/kxOv0lsBk3XnuZ/e27CJfhvSI4dJSAitFRTLvdJk5aJN0+rU6PVm+Zdm8FGcUYK8icnJxMcdLLAIXF83S+DolS4RkV6SMdDIfD3Bp4ul75bpr68a1ac4Twp5B8QL4pEVwmZQtSuUwA1xG4IUlTuImoIn/L9amymK0iZqrIn7q/5xE9RVnh5nGd1a7n5nOXE6LkuqKw9g3LmSEBJ+aek7wKi9FivAsxtQQVYnr8/51lN+xRNxbyP0CqnKhVwVgyGGtwxo//IigbzlIEMZYSLAJnfABnLSOkLE7S5QYTBCQphbsUh8p7MssyhJZYIVHCESvYy/b4+Cd/nnZ3Ba1iHI5Wt+99GYdWv5MmiFnr6DKzG2Bq4ZtvAswkK75lZt5/2F91pG29nOZm+xo//orNiirRcRE5uu57qnv2YeVUf+LipxPfwvtnPx6UMsS8dk02A4INtUXRkMMNGjRo0KDBowwhcPa4ElPGzL1AqZDCRwjXOgZryEYjwJPHURzntiYTzSAQIiShXORCMlGAtRlKFr6FRS68euVkfnPqhZQqpWpi0SOmR+Im1lpi+tw81AmvVYLmg+74hwTrSemAY1ZKBUILqDBqejnwTVVdy39Pr9VWZ26dywR2WYktW0KdhJME07CPTyKG304LkgYNGjR4OyEdnN7c5NzWFnI0QGYdTJqiowShI1rtFv2lHqc2N4labZbWT3HmwnlUrDEYHAZnmazNBmj1lojbHbJsTNxbZXR4gLfa9Za+SeKJZ6E0SdJCaY3QEUJonFBkDmwGbkJjcYzEheNzb3jSJFzPymtbmKYI8lZF8BSkbxGwvmoNKvIurDKrXDCEa0c5qF3Yjqr1JXRLUSZny89V/Tsjs5QI7nLaOpI8lBXCNkzytmaGAAzTv1VWlkWflfvhnYByPb3BwqwcJfMzcEKqCfUtc/cPNr8uEGRZ6vubwoWHJw2NAyek96ltHCLy96XUM24TvPsSkxtX+L+tTYmjCGsNhzsHHOzvkaUj2klCr7eMc4LUGY5GY3pRQtJZRgRxPPJGTMqYaW84LopLxW8R3gkE6CLVCcOmbj6oGxXhvplz0yB3MzpCIWtOqj9f5nuYMfjQBilSTuj4t1ruPEmvKAfsDJ+r+rsq/4dFQw43aNCgQYMGjyxKx8cWFYzCnX8hwXlfaEJKnAWpNULrwFqkZCHinLeQCPITuVXJ1NdvhsNHb5ZRexIwR0jti6+xCpjXhjpLgIkAPGPNUC/Llq1wyxY/ZWucwu9h2ZJ2kXqf9E6q3l2WZVhrSZJkJn+vODjiOM7rJSv7Mcy36lq5vDplOLRUCu+H/XISQVBlWVVlXbJIvUM/0vP6vCGIGzRo8JPCIpt/Cz0PgGR14yzve/4jxCpmdLCLcA6Ho7e8TLfXo9Pv0en20HGLlVOniZfXyHSMFdofXXfOr+tCkBYuf7REqoTu+hL9dYFzKUIUpKKioMMskiyfXx0CJXKCNzflc3mw2QJVbS6TtSHiOJ5ZX0NXDjBdU0KCt1iHYErOaq1rN1HDf4v8yhuYBblZbLgWCNe78toXks11BHD52jyyJpQ1irRV/ozLa2iYttx//llmNu7Dk09huVXrbJ2cE6Yv8iv6751EDJchhJghhifX8/9JvOWuE9P+UCjvS1sYUkYT8rIYG9Z5YwUpBSazGGsYyRG6K4hCf8P5GLTOko2HDIZD797NpCSx9x1unWVpdY12pw9CkqYDlNKeHEQjKHzVuhmitYzJtYJoLRkHF22YEMRummZGB6iRverkMVEUlhfvgiST8tysNbPAb5JBoCc8wPB60LH40BsmrmhW/bMPWpfZesx5j28xHiTfhhxu0KBBgwYNHlF4K4Xji3qVcjO9l/+LDzpjpSd2rbVeGFaRdyGBnAiPwifwVhC5X0JPKjMVIAkEROGDTDgrkCpBS02aDVEqQgqJfQvkm2PCqW9ULkyWrR6CdO5kK2tgcny1/FxV2fOI4YexnI2iCGMMxpgJMQ2g9azrhnlZz1MQ6qKPV6UvFPMqMv2ktp1EHIcIFc4qCCEWCixYKP0NGjRo8E6CA4xQqKTP+Xc9S29lk+HBPgLDaDQmbie0+z2U0qg4RscJKmljZEyKJ3gjYRHCgfDkLkJhHFiXEzQWMpf7NBUKKYRfR/KdYKdkvgnsPEFjXU4Gu8mCU14/inUinJ8LEqlMXpZdN1StpcX/CyvhEGGAtfD/YXC0MpFaBJcrWzIXbSlI1nJZs4TrNM8qa+UC5XpUbWaGJ37C9hf1qNpQnRknAUlbXqPLZHPob7nOv2hYv9CPc/l9VG1kVxHzjzomMuCMb2WPyTsV4JxAao0dl4OReTlaKonWEVlq/Mm5nChXSiOkACEwJmOcpsQ6QcdtipDEIq9HZgyj4RApJN12z8vOKqemBVgkTkjIbfbjpItwDkFhnGEnMrhjMVnUE7S+EcLNfosTv8KTB6c6w7wxWV/uNDO/4ZSnFaJgjid9MpOXm/7tSlnXfUtV96tQt0lzktHCg+BhSNzwWxb5vFx2XXHS3LBonRaV4avQkMMNGjRo0KDBIwtHFRF6kmIxjUiMVyRtijP+eJyW05wneU2sDvydqRGCnFwPlTaBQOk25P7psnSMEAqhdGDfUFGvN6lcTCwiTiCG5yEUOp1zx3x6lQnbBxFC6+5X5VEoxnVWvieVvUi5i+b3dip9VdZf5fsnKSNvxdhp0KBBg0URkmUP82zl5h14C14pkYlm7VwPrAFncc56kkTm/v+FxIJ3+eC9/uYbtuEx7IJgwAeGE3h/pk7me78W53wQKpETNZnJAn+fOYFa1E4AQs0QC1VWuWWL2zpiMSRjy2RF1ZxeLqfKgnfSlyWCtny9rvxyHsWzhYVsXdC6sD/CZ8M6hOnDepTbFf69iAxRttwtiMdyfgVBPm89nWcZWvVM1Xt91FF8H4VvXufcxNq3gMWTqCqOMUOJcNP37oQA54OpWfzpLWd8cMV8i5s4SsgyB04QqYik3UPHHcqyqbWWdruT+4YuCP0MpTyFLEVu8TAhUmVe59xN26RRTOX6Gtlo8i81tq6F7OxcwR1PcYLRRYhZS/bpE85NMy3+W0XIegJ5tpJ1ZOY8w4a6dFXf1dtlkfsw8OQ5OOswxqL01GXePBRzU7EJJvJOPKlpD9r2hhxu0KBBgwYNHlkUNgjHlamy9cwMIYjzgq21CGcxaYZwXgnNUuN9DkJO5ObPBqTrdFd7SuxlWQbkfu3y4B3W5NYsSiPz/1MjzFUpgg8TSXeeojJPkAyFTyHEJMBaaNFaVvLKeT+sgFlHEs8LQLeIdVFVn1YK4wsod6EV1DzM64eTBPyq+lSVOR6PJ6415pXToEGDBm83qua1h56DBNiJAydv1eqsxcn8nrW5leDUzZMU/pewznNIbrppK3MibBKXwHorYOf8Gi7kxLsquRnhtCI5SzMh0ua0K5y3Q/K17IahnDbsrzqLPpj1r1uVR5XVb7ieFM+E98vWuwW5EqYJ084jo8tlV/VJkXdoIVxOH5Kt88oKLX3LRHxBI5bzXgR11pNV77dct0eJYJuHybiZWjmgSu+AIlia1AgZIazFem/DUJjg411HOAHGGqR0OCFRUiNcBDLFmBShWvSWT5Fvw/i+zLvNWovQUzk+r85kfCilJmyu/w4Lgraw7w9Z1GL8BI3Ns562a5qZEHkuwfASgTH15P0HxiBVslvdxkHYTgCUnNm4CF5IrV7g0/q5rm4z5aQx7l+1pY7YfivJ4jezUTJTDwdSiqmP6gWq4+cCZt9//VbAQ6Mhhxs0aNCgQYNHFm7GYiDEXJIOJhHNMRnOpGAzsnSMFAJrcyFDyECQLgSfidqBc15YtkXE8skRyjxwmooQIkIqhY6i/CDcySTkgwhX8wjSRfP0gjiTyOkh6hShunosiizLjil3Vagj/E+qT/h82RrLOUeaphOr6LIiWqekP0gbwz4vrK1PIgSqNgOqyixbGS/yTIMGDRr8pDCzGVtDuB27N0ljcwXfWwQL6S2CjXUTSzwpACH88XJnKWIAOBFhZ3youqlrKEBIhbE5USJzItqBdTnBXKyBAoSPEJXvC/tgdP6Yc33Q0fKmdPn/VemK32Urx6pN2/JaVaQrB2UL86wK/BaSySHRGrphqGtPeL+qPUW5oU/+MlFdJr0nY6DUn+V+K1BYB4ZuKCZ1BIrWHSvTkW8GBGUySx/NyntF4GIBonrDvty2Rx5lBs1N3R1M3gsC68CfeIuAMZJchgGE8wHkHAKhNDbLvPWxihE6wSkNmUW3eixtbCFbvUoCNMsykqSVk7XF+5uewrM2d9F2TM4VE2J3up+Tj1kxQzXnvn2LK6V3dEyuq95Mqfpdd+1YG61BVcjWc/OaENLehzPBGKvbkJgno1rrAwrW1flB5du3A8fbJ4obCz1fNxdX6T9vpq0NOdygQYMGDRo8ohiPU7I0JSr5oi1Qt6Pu8IKSUgrrtFcsTYYS5EdNcwsa4a2UfPRgkVsrCST5Trzzx/E8SZx5QVrGICRIhYpjhIoBOfGQtijqBJoqxQTm+6ydp8gVz1QpfXXE85uxDigQErNVSuPDoKxcF9fKaYCJZXRVHnV5LlqHsHxrLWmaPlCk9JPKK7v6aNCgQYNHEQ86nzrchNkTktzXv+dKpHABteMm7h/82ur9ogrhw8oJvE9UrJgSugBO5NbFFiUVQkhMliGEzIkY68movAyl8r9dTkyXyNjQCjb0twvMXAvbX0X6hn+H60SRP/hNxqqTJMXaYoypJEcWOYEUygLzSLEwCFyZdA5J2lCmqCN7y4RqWIfQirkoq+65yjE2KUv6DYB8A9x3iMvJ/knJELZhajvqSdJgMyFcx21Bgud7/lK9OZnoJ4UZ61VRWOR6zGyECwFCgdI4M0YIcjcP/pnMOayKcAgimYBzqCRGqgikRGhNd2mdqL+OlQrtikCPTMjgOIoJYt1N+n7yLuz0bfiNocDKtvimA+J3kjawcT7e+Gqjh+IEQXmDpjAKqTLsCPurSnb2fStm+rhOhg/zKyU4Vu5MGSfIlM7Vx7Io5xXWqSr/t0MXmM3bTfYuFpGVy/NAec6pyqPqNMeDoJG+GzRo0KBBg0cUSim0jmqFq2rBYSpICiERUiN0blkglBeCJx7BBMWRNFfYmziBC4OTSYkzNijPoXSMTtogJdbJWuGuwKwQ+nACS501S4hQiQv7p67Mk0jltwKFoJamKTAlbavKmGcxsUi9HsQ6os6CadHni75WSpEkyYl1m/fuqxSPQpBO06yW6G7QoEGDnxSq5scHXSuKNTfE7DxculeQNgFhRGhpVyIy/Zw8605hxmKyiCNQEFkBwVoOelbULSReQsK0vF6etHaUyc8wfUjwlgncsjuIsE3z1vayi4qQ+KwiyMJ+qCLEyunrCKc6Qjzso3LasP3lPg/bW9lWn4DwfPo8S8LJGCzqUrgWc7P9NlvfafpHHRPit2gTJdkKYEKuClSUME4HE3t8P/6sPxmHQ2mNFhKJD+hYGEdolRC1OyAkgqlbA/8+vIuFJG7NlCvyb9mTg/6ZYnMnt9SYpi0Y1wnRXSEzBpkLAc4GP6Yd4ttVkM2UxsMCc1gV2VyUL0pBC+dtmE2Jav9fIWZJ7nI5M2T+gpgna9YR11Vka71cejzPOrL2uL4mgte5WL/Pm2fL81dxbdE5uQoNOdygQYMGDRo8ovAWKmIitC8q9BQCF+BdR8gIhEarGJNKXJbmvgktUvoAJo484nmO4gimzQO1OJUgdUwcd1BxGyfUxCtaXV0eVAAt0lUJNHXC6Ul5hZhH/jrnyLKsNqDLovnU1eEkglMIwXg8xlo742+3ztKprNwugioFtVAGy0psubwwj7oNiroy68btIlYRs0pyIVy/M5TUBg0a/PuNk9aqN4tjpEowT9rcv3CIsm/e4tkygVGeb+tI7zoytGpNKD9f1TdhHarWkvLaVFVeuY5Vv+vI65NkgKo2hqR5+dl5pG+YTx1pVvd3nfXfomvvIgR3HSplAefAHB9bjyxK46zApO35posQAqkUQmusMWilvbztQMcOjAJnPbHqACW9LB210HHbu2kRtmQ768t3lOSfYlPHenJeCjXd5KkYI0KIqZtwkbuGmXmX+Q3nkIWJtJv1AywCEb3YZ6p681UbEvP0jaJ+RboHeQ7I3d7lhPWcsVj1zZ2EurSL1OukfE6SY8tp325Z9aS54GHq0JDDDRo0aNCgwSOOQlkoMM+KpIB14KTCWe/7VkcRNhuD0VgFhgyHwDqBknlgnEIQlcK7jdAtIqVQUoLSCKURKKwQoY1EZX0XuVZ1v0phmmcFE2KeElRWiKvyW9SdwZtR/ucJrmH5ZYWhjhwvp1tUAC4rI1XWB8X1EKEv5TCfujLmoa4d4XUppdckhIOJdU5DDjdo0OCtRzFn7e3tzfwu36/7Dcfntbmw9cQskPsdnVrJFvMveAJQy1lf76Hlq1JqxiK1+LuQJYqN0LIbhbL1bJEuLDtsW5V1W/lamWAO5/mwTsXfYd3ryOu6e+Uyi7pWbbTWka/h/08iUst5lWWZ8no2j/ytqke5vUUeYTmh649yXYo+rSpPCDH1w6xKVuPklqHOgrUc7FZ/E48yqghPAJMZZKQQzvu8VSoCpb3gjLe+N9YQiWgaFE4IZOQtjYWIKU7dYQXCCfwhusK9SzVhmo+ICVEM07FauHwJHsrNgX2dROBTdzo+cgcT4bdGKJe5iWW5KxPYAU7azCnSzLSlIn15c6pOPvRE9/TfOpHOOTexdA+Tzfvmy/Wtu7+IThLK32E/1+VXnh/rvu+6/pun69S9n3KbqzYbHuSLbcjhBg0aNGjQ4B2CMpk3J2UuDMhcwASTpUghUXEb6RyyUCClQipPDGulJhqBFConi71yaPPjUFPxMlD0HoAknte2eW19GGuARRT3iTIkwNmTffo+DKrqWLYAKhS7KoX6JNQRx/ME0EWEzqrnygrmjPD8Jiwlqvp9qtgJwFIcsbTWPFQZDRo0aDAP+/v7AFy+fPGnXJMGDR5N7O/vs7y8/NOuRi1McdqtJD+GsolSCocFq8hEys54l73BIdZaLm+cR9gYtEHmAZchl02cxEnIrMXsHbFz7RatXpfe2Q2c0mgLVoCCCUlL8G8ha4Yk7VR+kjP+kick84RUnmIqg4U+pCeXcotjNyVUS/lMnnehB2oxIbzLmzzzDA6q0pcSFIVOLsmJfGsnm1/lvABkwaG73Eag4r3Wyb9h+W/GpEAIb8EtyDPJifaqjUKRv9ui7ycbAGG6Byz72CbcJIPpxmHxHmfq5Pw7tdYe26yYh4YcbtCgQYMGDR5xFIFYFnF5AIEgKoX3m5Y/opQm9Gk2m16AmEYcdlhkGEmjQrxapC4Pi0VIxqod85PyKQuy4/EYIQRRVO/b+c2iLp/CYquITF5n1RRaAjxI3Ra1elu0neU6FM8+DJFeJ+BXE+IZIHA2J4tFI742aNDgrcfW1hZXr16l3++/retbgwbvNDjn2N/fZ2tr66ddlblYxBrb4bzVMIYvvvxV/uU3focjO8TYlL/+kb/Mp658nJgYbw7sJta7TvhAdYMb9/nS//3v4168hu3GnPuzP89Tf+UzaKlxcupXtrD8rbK4R4gZf8jOBWRfkdbfCKxrXWCM4XJL5yAP8kNWYSqXW+XPXA36KyQbizSFtbLIbY9dVfqa39OKT8sry7aAsRaTGSKtJ1bR02epbJcrLOARHA0G3Lt3l4sXLuZppqYrZVJ10lchkVzkGdYr6B4zuVaw09N+qpJbpZR5H0/stYO+Cay7py1i2j0n+1aeEM5hC4L8i3veDc603+W0mIXQSNcNGjRo0KDBI4qCKPMWlLPWmYUfvHJ6WQimDoSQaB3jo5tPI1v7xEwloVnZb5rfzB+F37TjpOwi7ahKV0dOVlkEVKFS4K5IM48ELedR9K3WevJccVTupIjID4KypexJaat8SS6CByGAnXOkaUqcxAuZNxTkutb6gfpmcrTTGEajEZ1O59i9yW8suAyHIs0EewdDxuNs4bIaNGjQYFFIKTl//vxPuxoNGjySeJQthgsUJ7CqTqPNQnDoBvzed/6Q2+YeTgFY/t2LX+DDl5+nQxsnQCJxOKx1CClQzvHj3/487oXXvYnw/hGv/bPf48z7n2Xz3Y/NFlFD+k1OhlFOXnIh5hPPWKVOExdifGnDPn+msCadyS8noGesecvdMrkHRUC/Kuvfevj8TeGrO3jOW746kBJnHaoIgBm0qYrJzNIUYwytVmuSTxxFrK6sBqWGfeOOtXXm/Rd9L4VPVxTuwr4PjDEmjzlvhC1n+/x4++0ChKyb4cwXPsF3PNHMT+mzLv7jdb8HMFduyOEGDRo0aNDgUYV1YBxSCChFBC6sTQtMhEpnAYl0kkwYdsd73Ny+zkp7hTO9016YRaCcwvrDURPhTDiHwYGxpPsDnLHESx2cFighJ7vsIregcM5hjDlm+Rq6RyjqdZKPvRBvhcVWFYFdJWiFgeLqyvVtfGuI4bJvwEWtbRfru2rJenaTYTbPcvlpms4ExCunL6McqKfsv3IelFITYb9cp/DYJMZxL0v59d96iT/6/Cu899nuiXk3aNCgQYMGDX7GIGpkvqn5be4awDAYHXB/uIvwceXASdJRSpYTmFNXDIXPX4e0sH/zDpHxPnOlAAYp269cZePZy0jv/6Byg/3YpYLEDV0H5Ba3oTXphKAtuYOocjswtTaeWi2XSecyaTxDgJK3S07LPvZsWHcCqTOo10TGDe6Loj+DE3O1cq0QudWzQEiJLojeXBaOosjH6ZgQwDlxG1obh31f9EHQhyGx6hzeIV8+TuzEGlh43/ChAw/ngvE0Jy5ISMSHCHjoeUYyx+7NGVOTpwuyPRgLZjQ+/mANGnK4QYMGDRo0eIQhZS7MlAS8OkuE/BdWGn68/WP++Zf/BfeP7tJWHf6DD3yGD51/HoHGyuLw01QgMdIhRoaX/s3nuPGFb2FHGes/9yRP/OVfot3rTvxuhSWHAVBCi9AyYVhYOtdF/X5YLGrFnGXZMUK9DuXAdL7OJwdgW6SeofV30U9vRT9YaxmPxyRJMimn+LfaVUN1W3q9LoWwGyLMJ3ymHERvHor7hSuP0OK47O5jkl7AjZHg//0b3+R3P3cVLZZ55XdePak7GjRo0KBBgwY/Iyjki298+1v0er2Ja1/vS3cqW/jr3t/t2IxJt4fsZXveCMNBsql55UevEjuB1HpiOSyEJNIa6xy23+JmeujzkgIrYIuMN65dQ1iHVCo/rVfIMngDgwnZm8dvkFM/sgWfLIRACjG1XPXNqLSEnrmWt826IgjlVFqf59pMSDGjB8CMAS2F79rCC8Ixwr1GL1nU3dg8NyCIWZ/KEwvYgpgNmdH8p5Qi/zvUb0Lq29/DHS87lENtFRNb3YJpOyY60sSxBJTyKYx6XanZk3LLhjT5+Dhm+iGY+JaugsNh0zEvf+trfPX3Pztp30loyOEGDRo0aNDgEYV3ceAQcjEi1RN4gHMM7RG//fXf5tbwFi4C4wZ89luf4+lTT9KPV7BYVMkSAeDO91/mjd/6AsmR37G/99mvE632eebPfhon64M/hMRhQXwWrhkKS+dQWHy7/TnWCdKL+jKuIkPDZx/UtUboXzjLMrTWWGtycnQ2EF2Y/4MQ6VqrSncj86x4j/shhirzhKIv5rkIqYoGD1Nht9yOukjiYRushX/z1Zf57Odvo9pnQES48ay1cYMGDRo0aNDgZxdFMMk/9Uu/+Kby+U1+g/8T/8cHf/Dz/+hNldugwduNRYJJNuRwgwYNGjRo8AhDKkmVJWeB8JgWCKRQOGvZPzrgxt4tjDRIFE5YDrJD9seHrCSrnnQO9+SFP1a388p14iODdQKDJbKCez98BfcffQpRdkswrQQUx+uEt5BQRUAEQbCDPks7HiMaZ9ooJi4vqtKHROU8q4Xi+uQIW7ifH5LjNZgEmhACa43PYc4zdUfECqI8JJ51FAWnHB+cLA/JbiklQk59E88j4Of5Ia4il8Py6p4prJbn5VnUt7BuLvI0xszkP3uEUWCtQouYo/GQ2A3hYL+yfg0aNGjQoEGDnz00wSQbNKiGc4sHk2zI4QYNGjRo0OARQ0He7R8esLu/P3OUq8qyNDcW9r9xCGcwmaUtWuyP97DOghO0ZMJ4OGbX7qGEIDMpoiDt8ORwtL7MQTqGzGFshgLazrB/uOeDN9QI3YX7iHIdZ/x8OYel2u+tEAJsETjPP28mR+KKfmFyTLAgFKWSk2ccDmfdjKuCysAkk+NkjiLMW/HbBWRtFQEd9n2Z+C6/l/B3eMzMW9JOLb1Dy9qw3uHfIfFtrPF9aXN/zs5SRKQGyFKDMVn+ThxZlmLM9L4xZia/zGR5flP3H9YFR/byYCxF/0y2FPIjbb7f7SzRXtrMmObnJreLfrXWkmbp9D3mlufFy+oOLefW7/HSy3c42LtPNjyYfQ8NGjRo0KBBg59ZNMEkGzSox6LBJIVrJOsGDRo0aNDgkcIbb7zBhQsXftrVaNDgkcbVq1cbZbBBgwYNGjRo0KBBgzeJhhxu0KBBgwYNHjFYa7l+/XpzPK5BgwqER+Tm+VNu0KBBgwYNGjRo0KDByWjI4QYNGjRo0KBBgwYNGjRo0KBBgwYNGjT4GURjbtGgQYMGDRo0aNCgQYMGDRo0aNCgQYMGP4NoyOEGDRo0aNCgQYMGDRo0aNCgQYMGDRo0+BlEQw43aNCgQYMGDRo0aNCgQYMGDRo0aNCgwc8gGnK4QYMGDRo0aNCgQYMGDRo0aNCgQYMGDX4G0ZDDDRo0aNCgQYMGDRo0aNCgQYMGDRo0aPAziIYcbtCgQYMGDRo0aNCgQYMGDRo0aNCgQYOfQTTkcIMGDRo0aNCgQYMGDRo0aNCgQYMGDRr8DOL/D+7vRfUibQCcAAAAAElFTkSuQmCC", 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nR8fp8RRT+u2iWlb0eoqLpJFl8+JFSt1lsGz+XjaftpWjjfix1qK0QkhxXiBryadZpmYdlymqy9K4qMzr1C+9f9X3ZcrvWmTXirK155tIXKnwRTux07zehsuUc9W63cwfuNAz/UVCLN/OzoCdnW2cswjmoVSk9ETvfDuxAHeeeIRYf4eQcUx40Wvh9/khKQEhRGII0TdPN+55TJ2UArEbdfMg30U9dEEWje9LgnOW2HEuQ+r66sz707rkcNq2K/vg+Qfmcm0sjxDec16qBZnvojlsXfmyLY1I1DRJreZhUavGRDPdZxmPywjktJ5tZWleexa0yfsvKtpIs3XKfBlSuS3958UJRDJvMpnUYSWm0ym9Xo+yKIJxcE6EXlSuGL5g3bo0rzf5vSbpvOyZNN02crU5Lpu8WdsYWJZeOg8tn4vn6TbHb1qWqqrIsuwcQRzn3Jh22++egwKIYSXm5Y5zSPRA1lpjra3zM8bUZHCn06nzSg+xaytv2obN8kRDw2VwKXJYtAmvSedIO8o6glEzVkpcAKJ1FSQuCYxlkYABWzE6G3Lw4D6fvP9jnj7ZZ3R2wmwyYzad0R1sYUzFeHSGsBaU4vHDnFwr9L7iZP8xxkF/sI2zBimhO+iRdTp0uj22dnYZ7Oxx9dardPtbqCyr43M5kUT4ihxtaJtYvfSFNRfoc5NTJGqWtOu6E3DrfYmgsA4W1BPn/PrflEMvsyAE4cXZmIQL1q41iboWLNQz8s/NPnRBnWWs6BrNclH7v+gLZCxfdzBgpDUnvZxKa64MtthWGgQIFyYfIUKolfPCVsQ6wkfsd6v678pF1LnlZOl8kC3k31bn5u+XURrXudcYc+ltuHW8Ruda67ByHK9Z9mY6cTy4C+4LF+ZDvaUezgVPlBC78FmI3WaabWmso6RepBA071lYnyTYJMbnBhtssMFzR60gzOenTi5xZgxWs3PFsr2tkAjWEd0vIhLWIRouSif+vmodXaUQNr9Pp1O63W7Y7ffpFedU32jGGmzDZRT2ZeRu+n3ZWrVMVkqfaz6zqhyXImjdvD2a5bvIg6qJpqLZrGsb6dL2TPoscM5b6uWBa2nnaNCZ39OkNRfqKQTORaeh9XIVAoSI6QYSt5G+b1OvKzd1npTAcP6BWreeO+o8j/F4UT3OG3gum0GzyQTUXtzOZ7KQ9vm3keSdyMO1/niBvt0kmhwX9/9mWeq8m+WJdVoyfppX2r43+wXJnOTSZxL9qW67S84NLwvW1UvW0SPWySfiWQjiZXqkMaaOfXt2dsbv/M7v8Nu//dvcunXLG5e1vnBN+bT1S9NJ01umQy4bF23vY1nZlnGF6RpykayzqlxpuaNOGz2U4y6L6H3bJFovyqteb8N8K6Wszz5Lyx3rXpYlSil6vV7wGLZkWb4Q69iH45oP1Rgewq8R59stlsGEEBl+pEdj4Hp4xrAS57FqsW8q6M1nFvlHW892zhlw/ru13sV6Nhnz/vf/kh9+59uMjo6oJlMqU/lF28/A2GKMs45MCKwSKOGQ1mAqL6iORiPAcSwPKKsSpSQqU+R5jlYZ3W6P7taAfDCgv73Na2++ybWbr9Lb2sWp+UI950pFUoPV7dIcUK0LmL9xaTuuxDMIXZGUP/9swqC6xfubeS0M7njdOVxqaRVJbJSkp5975hKTV3OSWmifJM24GNZVWZLFwj0/Q/jTw0P+6f4nDB3sdTu82dvi33v7Hd7odoHgcSn8ltcYayfdirYK5/plogxcdiGKwszSXC/Zv5vGp/RaGy6juKQLevMwn7YyLHy+RD0WhEuWlz/WsVmOZW9gGREd7297Li6ay/JfRxBbdW2Z4tlW3nWEnWX3XCRcbLDBBhs8fzjeeGuLv//vvspffGef9z7/Gp2uwGEg8UxMyYj4HS6neLbNeevefxlD6jIIIRBS0O/3L1zu1qlTq+6w5przkyAjz8n2S9arzwLWWYwx5DIHWNgiuwzr9qXLEHttaS6+N4AXP6xEE85RGzfa5ab5x6ZRZa5fNdNcQehESs+FPEMeLjjW1CEkojq6qKAtpFX3A+fD2lRl6ZVlIXAhPKNc8px/TwLqHbRej5o7kXgC+3m+z1b5PxnvNrRnTXq3PB91ykSDXXR4aF4L6Vvn6rN9HIm3e3ItfW8iDdUSZOeF38N3R3JmUJp3QhilLMKyesXfl9Y5/h7qv4xYXiDFl+T7acnEFwFN8vGyz110z8rrbR2uJcllRKaPKa8oS0OmNP1+n9/4jd9gMBhgjKn1sDpk0AqSOv6NJOuytb7tnS81erTwLsv0u1SeabbtsnTaPjefadY3/k13kS6TEVLHTedc7cHb1A2bHEL6Ly1PmodPx/ppQ0LkWNLyxXvTA/e8w5nCOcKBdN74Fw+nS+sVw1UIkTofzPt7VZVUlUEpH7pMCMVPhRyGdiV+sQGhnoKE9Qtfg3R0wv/zbhSOYnTG/v0HnJw8ZTIZ8cnduxw+foQtSrQAnUnyLANkvb1G6yQwtPMu391ul9lsSqZFYOOhLCpfGuMwGEazEVJKzoZniIMDsk7O1u4Ohw8+QaqMqzdvc/XVV3njnXfRnR4Ih0LGWX5hgg8NcW7BjeRNW4efW6fPP9NGrjefiwJAmyTunENIuUAyxfvE/KbFZ9smv4bSsg4WyrYibZfE2FmKuOAvW7Ba2rwu9zpE54V3vJz4r+/9iAKHGY9w125wXBTwAfzHX/oyfeEQTtTEsBBibWI4nfAuo6C1KRDPojytS15fNr1VRGybwLHMothEG4G8LqHaXOzOJxRF93MJrFW2Z8GnITDWfefnBAMus8Qt5reQ50+AMNhggw1+3hGpHgtIpJC8/e42b76768+VQOHP1phP1XGOivJQ0wj+WSjs0cj5rEpxa5p+UVqqYK5K+1nIy3Xuuaysse69z2NNfVZCWQqJ1LK1nm2kQfr50/SldZ5flFtexoNf/fkykSC11tYOJr5e54m/ZenMCbj2NqvbCjlXx5z1xiMRiVGBcxKtc5+iE4sEcSxL872IhEtukaKaZNL5vpfIeWL9uWid/hXnnjrNZtop4bqM7GsrS0qAxgZdQmC11Sfdcn7R/LWM0K3TXHc+a5RrFQkO52XhmOe5+1t0rgUs052b+BmXm1fNwW3vL9Xp0vGjGm8m9G6ESOdpF/6d3/avpUI4QTfLAUGuBO+98x5CiXM70tvQ1GGb68GqdWDVuhHHX33wWgOreCqYH7TnnKsPYUt5nyb5vIrgXaWDN8d0896Ybxuxuyrd+fzjsCEWferRHOvoIx844g76Zr6xvlVVLch40RF2Xm7w8qHE2iopg7/uXGxTQ1VVNb9orSXPNUK4OkyFc+3vrA3PjRy+cIFY3NxQv3CcQDoHAozwdkxRGapixuH+Y/Y/ucfho0fcv3+PydkY5yxZnqH7PXIlyTJNnunWThO9H00kvaSjquYvoSr9yYDWWqSKBwNYnHVUVcnUFCgpONo/xFrLw4eP2L73CT/47l/yy1/7Va7cvEHe6yOUQjqQToTQUb7jiGT6TjtoM8B1c/JZNbHHl54SqOcW9FVEU9u1lOC56PcLyhe+1B+bllfCu16a2UVYQn4Dc+K45d6auF9Rj9R20Uz3ZcfUQnF4wN0//hO+9O/9u7hM8f3Tx5xVX6CrJVivYKQTeBvayODWxeCSSs6FxOeS+9vQXPyeRWlbVY51ieDLYNXz6btYKQiIts776dEmHJ/Le8X3y+Z1EQlymZZO+9Ri2738Y3qDDTZ40RGIJAxeJpRY50ligfGKvHQ4VD11p/NfU+lY6VTA4jraRHMeb5PrLiInlylnbUbCtnvXIbhXKZernmk72TzFbDYjz/O1iJPngYvelXWWqizJsrz1mVXyxzIFNqadxpe8iMBbVza7zO9tyvw6cswLBycR0QEowOtYQLju63KRDpd8dwQPZM49MydDQWARzmLKgmo242w4ZDweY4yhs73N7dfuIEW+kEurXuO87i0QWBzW2UAwW6zw5LIT3nkIWrwLXZNIDrptDHlRt8cFTZnMMctItmVxMVeRNW35tH1Oy7BsvluFdQ0py/SDZrmKoqgP6WzTqy6LT2voaeKzmBN/krjM+12HZG1+XjZP11wDRKbeOzzWF+bjaT7EXP05GtCcEFjrkMHwY2PgqeZc9JzQXEPaxtyy9b6NfF2WVlt7rluPdP5YRRQ3y9g2/tL0mmkvy7utLCma8cfjZxucXeMz8+t2IT8p5YIncUScF9PwGm2xkuP1GJIiffayfeW5eg4vQxwsriWqmsNhhPWksKUmhZ8+eczB40ccPn7C4cOHFLMpeadDlufs7GyjlEJJiXMVWimUUlRViTF2oeF8Y0tAkGV6QWiSskJnEiUVxpp6wazKCqv8QjqbjCgrQ1FYqqLk6ckZ1sH7P/g+r9y+zV/92tfobW8jtebqtet0+z2ckmjh48REstFdMKCXCdRt96yzCNSDM11sL+r0zXI1JoSaXI1E1BplrUns8IwVczFDLD6AEOK813BczJeVv21Sbyljsw4Lk9XCXxH/f66dU3L5ZUM5m9G5eoUv/I9+E93NwIGWgBBIIbxX+RpC10UTaHLzQltdRDCm96yDdQWX5mJ+GfJ5nbSf1+K8bJFcd/FcOoafY9nWwWUWoouU9OchnDYX8HpRXivC5wYbbLDBs2M0KRGqwJSWwSAjzyzWwoN7J/yr//77HB2M+Nqvv8mv/o23622ibWtlGrZoHWNcukZfpOy0EXnrpt2891nWw2XEtnOu9oRJ5cLLrhsx3Ug+xXZO843eO8+CJuF0UTnr8ghJluUL78HHhG2XVdL7lhnv0/qmeTbDXi0nES/GMkX7MnhZiCdr/ZZe741lk3ZLdaNFomeOhjE6hIhIUfd1EROIbJFhNhnx5OFDTFUg8y67V65x6+p1nj59ys7ezuL7q5MVje/z353wfUuK5ADMhJRKx55oCf1Rk14ifk7cn0SjrivY4ovmmVXz0SpcxkCW5tP2fd35symft+kbafrpGIzEcFsdmuVdRVxeNB+swmXb+KUx6tBO3q3qE+n7Tp9t9oNVbbCwftUkcFuk/Tnr4LkNP49Ezgq88dDvpA/epliUVHUez7rePo932OQBVsXljf0z3t/UEZeR+M2x2KbLxfTWJYEX5rjGO47prOIqFueL5fc3iXPPSc7li6bXcpOkbqbVJhs55+pzj5r9IeYZ78/z/NLzxGdADidxiupLDhsEHmLHJi5PAusEwhpmZyc8fvAJjz65z2g44pN79zg7OUaYil6ny2BrQLeXk2UaHOSZRogMZy06UyjtvTK01uRZTlHM6lAFACJYb6zzpKlzVWhMi1Jx65BCCofq5D7gt6nIclBbOafDMcPxiKIqKEbwwdEBH37vLxhs77B39SrXb9zgC7/4i7z5xS/gMsV8+4CoNxQ5x7kOHv/OO0rKbc6FESHiffPf0nYWYeVemIpiXo1BEa+d35Pi2j8nBO2lCLY0//S38zf7/Bqk4kVo9LTWcq+bzkLBXg7ZdW0oLIXSVB3N2fERmRV87a13uCpzokVrGT6t0tf8vAptQuGy/Jddb1tALlOGZho/CSzL72USxpYJT88i6C/DstjO6/bRBQXiuZRogw022KAd/+0/fEB/MKKYzuj3Df/W330NUyr+3/+P3+fPvv5n5PlN/vgPPuL/cqXLl3/hDWoTdYuCsOz6ReRFU3lZZ01sIyYvu442n1lnjWuWdVl4q3RrZlN5XCY/xIN9zt/rVhLDi+uaW4j3uKweF9V52X3OOqQ6fzjR+mm7WqyvY9UmhENan7b0Ltu3lqGpHDfr8rLINVGFmR8m16YgBB0v6l9L2yzqYLZ+xuLbyDhHVhmsKymsYTgccrT/BC00b3/hC6i8FwoCt7d2fDiaSOqSkEWIEPGhQSpGnRLvSOWEpZxOKGYzut0cKXUgr72umcYx9dWxyFpmmmvv/uv8+rOOgcuijQRapSMsm2OWEcTrzHHPQqy2lXMd0nFVmhfl92mwiij7WUDz3S+br1a9t2V9LwR+8GPy3BocPwcjS/AWFlIiZMxPYiqDC2NRBu6nWe5Pi8v0v2WkZfwt/b6M/E3bs23dblsr2ojRZrnWCYmVIiVVn6V/+7Kfl3NiOZRSNSlurVs4B2DVetjWfm27Kqy1tXdwem+axrJ3sw6ea1iJKDxFoSSejOqw3vrhHCIcMuesoSwKLKCEZDoasn//E54eHPD4/n0efPKA8WRCriX9Xs7e7i55J8c66z2ApaLX6yKFoCj8aX/dbk5lKqTy0V609oMrvqw8z0FIH5AfR55ryrKkqnwcD621j0dMCACtJbnu0FEaIRRSKnq9DOcco9GIyXRKWRlGpydUs4KDR094cnCM6vR58913kbI2yYIILzZOCiLhIV3sIAmBKhY5TkRoSxfbNQasnhPGUSQ892xMom3xtMlgb32fCxcXrremF997QiYHN9z51gon5v3DJ7TwfJ1+WvbGfc084z3nqh1JadFM0f+2kG5Cxkfxx7+n0KNblLWXBb/12pv8YHLKvckELQW/8tob/Aef+zJaCr9troG2SX+ZoLB00hHtHdFPlutP5MvuiwLsRQJp28S7Tp4XTagXKVxp3s9buFpH6F626D9PgT21ti5L83nV3TmHaVh3130u/SylrNemDTbYYIPPCg/ujul1vex44GZ88oVTtM64+9H7zMYHFLMhN175ZXb3BjSll3TtSb1APq3Bs410biORl63zq9bEZzEIr1PmtuvLSJ9l5WtT8ufPrFde55a3z7pYJStc5N0b71ue9/x+mUjGF5V0nbZrlmudNfhlk5ObWKZ0Nz+3PxwIXBH7CyBsTTRb6xDBuFEVU4ZPjzgbDRlcvcLe1evcuHEbiQIlQ1jhueNPJIK9LhlCRIRdsyZyCEnxvNOaj3dqHTghUJnm4Yc/xJUlb739DrrTxQiFEzFaqkCFQ5qEdbVeN98NG/pnrdfNM13X6FT3paS4rSaPlrEQv68KRZESS21E00Voe+9ND8PLopn3qoO7lxltLpvfs5T3ZR+76yBdU9vIzovubyK93tYvY1+PBiIXVGRrqc9EigYZ6+a74I2tcDgyrXFmrj+vInYvS/ZedF8bcd5MY9k4Xdd4s0w2WdX/0/Gz6v3E9TWtSzQyN+WJ5vNtXsV+rV5Mwx8gWLauozHPdI1Py2MTR1YVoiE0yd+U74j8RxqrOZ3f2ua8ZXNlGz41Obz44lwdOiK8ovDd4qw/JbUYDxmfnTB8ekSGIB/0AM3ZyQnHhwd88vE9Hn/ykPHZKVIr+t0eV6/ukucdtNRkuaLb7SAlKOUHTi4FWZajlERl2je4tVgp0Gp+AqHW2hNTmWY2myGlRGtNURR0u12KokBrTafTDYfWufq0SADhLFnWpaoqet09prOC6bRkMp0xmY4pZiWj8ZjvfOMbvPrGG+T1tpG5lXU+SObssH/X6XYEwv1p57bhq6tDPc291F2dRt0pBYH0m3ekc4M0LsrJwFoYrGLRC3k+sREZ7fZOkSoRojH5LJmLagJX+EMFm4+1PpNkv1CSJikZyOlY7IXry/Lx4z6Q8XNu2TlCDKCXC//+W+9iu33unx6zO+jzarcfSFrQOAwWKebbVi8TH27pAtMgl9P7n5VITCf/Zd4+yxahZ8UyhWk9ZfLTK8irBIB1n19Gln9aPFcBsjluW/LSSzzJVpWjVZgRPx/C7wYbbPDTw9/629fp9vpsbefcvNXj+s0ODz8Z8/kvfpHZaMz2zk1+4a++yY1b/bltf4Xy9Tywmlyc37Mq77Y0LmMIXeeeVek11/+LFOWoZD3L9usmoaT14hknbQT7OmmugyY59DzWrHXef8x72fNp2ZqESpu88bz78IuIxToG95KoY4jo0e2I25GlVMgQ5jDPc06LGTrvsHf1Bgh/GJVAJufNOSSpI1DaHxxCOmonpHCLC4StMZGE9SfWCyOQWnPn9bf4/d/95zy494C33n2Xnb2rSJ3R7WRMy5Isy7DGkOeZd7pSnlwW8bClRPesnYDcJWXWoEtK4R3I1m3rZaTTZYw3l5WLk6Z/bnheY2MZGfVpcZl5/UVCM55rijYjj5/LQEiJNbZxXdTptYV3qkNBRPJNeENM5GwihBA4azyHIAXCOZz0xjtjKvyZBH73iBAEj9MKqbxDi7EWkRyM2SQxl63Jy+q+6voqg8w6ebWl17we2zWNpbtq/LaR923E8Kr6NcdFfHfpe22WcXm9BUpptI4hLhyj0YROJ6fX6wFz0tkfKDfvV01iOCWPU7I6/mvKLk0iOJ6xlspGzYMLP7OwEs1Gq78H0tBYg5QWh9+eIpwDayiLCWVRMBqNKcZjPvnx++SZRAsJxxIpM4Ynpzx68IC7H3zAdDymk2k6WcZWv49woKRAKYlWikxnSOUHslKSTtcveJ44AOc8GW2lRgKVMVTV3KW7KkvyTGNxKCtRWtLtdEPc4uBpLAVaa6RU5Jm39paZppjNUNIfdtftdtBZTp7n5FnGSI4Yz6Z898++zl/99V/n9p3XEXJZjNbgndzakWM7Bw9W63xc2GA5dnGrQmAtE8qWGOdmbsSNAyb6EYj48moiZtVgmhOw7hxhW9dJLObv6lybwtKybyymc8Ea5PDEsAvPnCOS3bymTtR+v/OFPU4S1oZ2JVjhk3pFRjgt0pzjX0livYjQwLbOuHr1eug30vc/ZzEKsM0+dDnUwhrnZadPp9CENxe7GouT9Kq009/nRpNns7q3XU/T/SyJxsuSoQsGns8YzzWPpB2bSvE6+a1LejgXvWA+fZE32GCDDZbhl3/tGld2rwVDu0Eiee1N+N/+736Db3z9TTrdjF//m3fQKm8lhuH5KefzxxPFx7nEudHVa/95cTVKnf4wvUXRTtQ6cCIuenJqIYnl5W8qdss8b54FzjkePHzAoD/gypUr535bJf821/em0rhMof6sZYJlSJ1DXBDeRUtZP03ZLjL2p55NPwsG2GV1mLdps88KhBT4k+S9NhSb3jq/Xdwag87m8UNNUfLk8Iirt27ihELGMYULZFCqd/tD0+MOKP/dku58nGP+nNc3DUrqoK8LuoMd/sa/8bf53ne/zfs/ep+qKtnf3+e9d95hejak3+uSZTlbO1sMdncY7OzQG2yh8h5ZlmMtgdCd61xJT1jZpue4hKTE6/Sa5vORbGkbfykx1DRorFPGOk28Lt2cD9rSWmbYSQ0oz2NuX0bgPUuaq+bdl3EsXzTnpeTanIhrf1erSNX0wLA6LamD4SPkD1hTISTBsy+El7EVAsgDAVyaEikyTwgLb9g0zhN/WnquKy3381onl9UNWBgz6edmGdLrzf69kmdybqkHfSoTNNeZZrzhlAxtS6NZ5jY9uVmHZf0/ho2NnKGUkizLyPIMrTPiewJZRydYppfH/NIwWencEkNSLHsv6ee23UfpWWvr4tKew7HgbVYLKQQgPe+IAFtycvSE0ckRH/3ofc7GY+68+RaT8ZSZcIGMrRgPz3j69CkH+/sU0xlaaQZbW+zs7NDtdpFKkGcZnU4HHTyDtVKoTKKkN6sqJVFh0jbWghRYJxHOIaQC6csnhUArwGpKa6mqCmsV1hmUEoACFFm+hal8TOKs78NNlGVJp5NhrWM2KyjKkslkhlGCra0+WabR4zEnwzP+yX/z/+N/+r/8j9ja3a7brfnC0pcMBIssCPxib4zBGoPKNEYpXFnhAJ3l2Hiz8500JS2dE8jg+jrPK+bTUo6WjpbcNC9/cu85hMU9yjENg9nirWH5X8zKJUkvCkOt3jRJVUQgD10oZ709o5GvSD64Os264dI7WoTp8J9IIF+wferFg/ZCDdTNq4SoP1tnMc6hlQoHVsyxSohJJ7C6P12gbK2LKFjHIte2g+Tlt6V50aTPkrHYVq/m509bp3N5CLFSEH6eCt2nTeNFRXMxXeuZJnOxwQYbbPCcIVFhiXXg/E4qKRSvvr7D7TtfBubk0cL81RCBPj1cElxAzuU4EQjiejr0zh1ennK17OUECGdqGc/Pn3axmHE9cxcXfZmyvc4c3iY/X7SuvfLKK6jkQJh18llG1K9a8z/t+roOsdMkupq/1ddqcf1iIqwtraaS3FaGVXWQcu5wse6zLxraSO/42QWDSkom1XBzQwtQjwkXfrPW4qTECglVyX//3/13vP72G9y4fRthm+kt6hoCARKEExTOIDCI4Cnk8GStrJ9vxEKOMj8SrEUoxeDKFf7ab/5muG4pioLToyP++X/7XzPQOb3egMnomLPTLXSnQ29rl+29K9y8dQtUjnWi3k3ZJMwhErZJmya/Rn29LAsc0MnPH9K2Li4zLtvIo8vK2m1zTzONZX191TNt5VuWRlt+q4i2VWmtU+6fFbT1h/SgtPivea1J2rURlvGv5+hk7S7nrPHDz4EzpTfoJPOEUIpiNqMoCmSvj0QihUJmWZ1vVVa0hYFchnX630XPN/X/dJw1idm2dmuWo7mGRjJz9Vy7yDOsMsYsK2uz/s0ypdxmmmZbGYD6zINOp1PH//VOo10EYiEkxAJPGuoboxOk11MP9LTs6Vk7zbZptqMxZsETOUZMuOy4vhQ5vIpFjwuCi8SgNYxGJ4ynYx492OeDH7yPwXJ2OmQ6mUJlsM5SliXFZMLTp0dIJ+h1Ogy2BmxtDdBaoXNNt9ch7+ZorYM3r0AqgVaeFNVaoqTEWS8AaynmXrkOEI5u3vHxdZ31C5m1SBRaSUxVYZzFOcjwISmU9jGKfUxegZQah0VpSVVWQI7Uqfu3RGuFtX5xvfv97/Gnf/SH/Obf+TsofX4rdLOjgRfSbVkwGZ0yOj1hNBxyejpke2eH0XDE43v3KaqS3Rs32NndxQnB9s4OWZbR6XTpDfp0t7ZQSgfPuMSCkHiFiHAyptcBnI9NJoj+yNTEW2qVCalc2D8a98w567mX+fw0zvk9zZRt+vwzyNurSlo3uZgLU/4dLj64lBBlzhO/LGRbLGU8TKVZpzSWTVuNVi0yqYVtWT9PJ6e6XRfKF8dDetEld82NB67pudRSviiEx7yX4bLvbxnxfFk45zDWeIX1U5av2e7LFsNVWHfhuAwZ/ryEzNZxKLzm+7KMvw022ODnEGIeTzPKyEIowM3FMyf9lvAkTpbA07Q1OdtCZqRolVGSb9KlikgM/eawNkyl1mBNiTMVZlbgnPVGY6lQWYaSktnkLGxzLXFOkHV6SKVRWgWHjQyhOswluhCbKylzm3H5ojn8smtIW1tprYkxWpc5Zywrz0WEcBueF0ncLMNlsLhcPsvz6xuUUxlwnt/531424qnpJLBIvrtA7lAPuJoIcgII8XoFXlZxBuFKimLCdDqj7xxSCe7+6IccPLrPe59/F5EcCueY61/NFpuMzigmBflWD6ks09Mzev0Bea/nAzl6XiKYegQq6nyWmiB2uFgFH2fYAfidtNvXrnLrjc9xeP8hRw/3UUqyvb3L1pU93ti7wXe++Q3efeddbt95nay3hSPqwpEEt5jKkGWdc+0IzXis3ptaK0Vz5rrMO0r7V5PAehaitI0Yat6XElWr5O5P2+fXrcNljEtNgrr57GXnvJcBbaSglAITwkgseP62kMMRaR8TwhOBkdyLRJ51IKSL+wq8LCDAlAVSKaSSWFN5J8liyng05MnBAcZadvf22N7ZQ+cSU/mwCzKGRTWfLub1p0Vsp2UGjvi9SUg2+1Nz7Czr402itEkOp9fbSNy2si0zBoiEn2rO/c3P8b1XVVW/e+ccSqg6/XgIbko8Nw/SjQfXtdVpGefa9jlNI8uyhXC6bQfaXYRnjjksRPBMBVICB6wPJTGdUMymbG3t8Pj+PlOr+bW/+ev84T/7p5jZjGkxw0bPXVOhlOTq1St0u11/4JySdHodeoM+nW6IJ6z9gFJKoaQIIRvCAu0sAhe227joN4sTNrCQzluyDX7Lj5B+645zICVK6dDAKnR8L9z6CSJuE4CqqnDWb7HTmX+mqgzGWDp5B7eFjyN18JTv/tmfceett3jni5/HBfK5HtTO1Z4ZLngKz4ZDTg73OTl8wsnxUw4Ojjh5+pThcMhsVlBOC2+dsDbxlPb/lJR0en2uvHKbX/zVr/Hmu++Sd3ue7hUieIYE5YRIus4DVczXZNFKkMIKYbEerK4mumph0H/z6kIUSuIgEPNeU39YzL4WvGJoCEEkhRZ7XXOaXIh17JKyk3pqBo+YUG8Xy+TSMsQe7uY/hrarWeKXCFLKOrZ227t1bnF7VoqLhKRli5Xvg/NwKDjvqWTxrS6ct6qasqCcjTFVgakMppoh8NqrgjCGHDrrInQHqTQyy1FZB6lznJShC0ofr02AF9SfTSlps3bG689C2jYa7UJi+CJCYNn1NkHv0yrg0fCzys+52cbLjAXrtN1aBHfLArmuAG3d5RbKDTbYYINnQpimogG2nqMiYbMocNQP1eJYy5w2n9cXLtbynLMOawzWVDhbYsoZzlZIKRBZB+EsUvk1tCwLTFXiygmmLNDdHbpbV73xXCoIO/K6nT5SQDkbU04mdPsDpPZeTWUxZTw9Q2UVwjmyPENmnYX14iLCIhqu10GbwrfsPi+HLjouXEYWeFZiZ9Vat+y352l8/TTkwTLFeB0j86r0linsLzLa5Mc6eJ7wuqfXpUT4xYcMdC4OfYE1FcV4yOnxU8bTEVVlkDxgNpvwwx/+iPe+8gtMSgNeHQUR+yyLLD9eDj46fMz3//zb/NKv/grD40P2P76H0hk7V69x/dYrbO/uoXSGw3p9VITzZ6KcZAyYCqFUIK38dnUQSKHIdJe/8W/+Fp/c/Yjp2Rnf+4vvcvfj+/zC7dd45fU3scD+k32G0ynXb9xisLVFN89RnQ5SKawAncWt8+fJm7SfSKHQCsqqJM/yBWVuHfl1GeG07rtddX3dtFaN5cuWZ91xuyzdNoI8vf4saV72nhcFy/SIZh2Umjv6RY/O+Gz0Ck3X72b/SA8SA9/rTWUghEONzk+28mSww3F2dsZsMkErQTEdMRqNOB2OGGwNcNZQFlMfSkJlmOB4aYwh01mdd5txYhVp+6zt11wD0jwiCdkkPNPn0mfS0A/xX1ss3LY1o42TuEx90/ZqO7OoSaDGe9vK57k3zhG8ZVkCnhfUOqs9iJWS5+qbGiRi3qmjXqxjeq05xzX7QPweQ0k455hOp2u1T4pnijm8yHIHQjgaU63DliVnpydsX7vKN//1n/D06Ihev8P3v/tdymlBMZlgnY/B0dEK2evQ6/Xo9HoIPOvd63fI8xylFJnOEQKkVtSxdkP2MmyRs2ZO/vmF2S/c4C1D3owT6MVIzgq/xCvtPW1leMHUbvuCuC0mNrxAUlUuEM4CJTO6XSiKClOZ0OEc3V7G2eE+H77/Q95873MopetA4iLkbR0Ia6iqCcf7+4yOn3JycMDjh485PD7h+Okxo5NTqmKGEzJMYJJMSKTwntJIR2UKkJLTp2OOjw64+/736W9vc+3GLbZ3dtjZ2eHWa6+ytbPN3pVr9AYD0Jkna0McCL9VQQYKdPWCHAdpM95LJIPTEFleQJp/ScnZehiKxt8GYnIpCXwu/rFIry0qW2nZAl9YJxx7zbkMSW+Mma9HtL2wEPO2bypi8X3WY7tFiLtQAWtrFyHw3dSC84aNcjqiODtlenqMrUr273/M7OyEydkJVTkjD55IxngLm7e+uXqBVlmGlBqpMlQnp7e1zWBnj96Vm4isR2ewQ9bdQkgfSsNxfjK9LFl62edjm7YtfvXzlyCGL1PuaJlcJVivSxqniAp2m/W99f4lVs/L4DMbay/pEN5ggw1eNiQC0cI1WBBGmnespcwH6c2VYCuKsqCYTZFIsv4WQilknqM7XcrZFFMWdDoDhgf3yXXmvf6qCjubUE1HTIYniO6IfPeKl9SqKWVZ+cOVrcFJTdbbQamOl6EtCJXT6eZ0eg6Lw5YzymIC5ZS80weV1zJ3Wx1jOzTJ8yaR9CwG3rY1qEnaNPNY5z00DbDryhOr7ruIPL8o/aaivOr5NuIoRVMRvew63MzvWd7diwDvMNLsf6num9xb/+a966VQ3vHHWY4OHjE5fkpVGnauXWewe4ViWjAcDfmtf++XGGzt+ERqe9Fc24mfHFAUMyZnp2wNOlgz4c//6PcYHT/FTSeUlQGlybs9+lu7dAcDhJTcfPU23cEWW9vbdHs9TGUYn5wilUIFr7LO9hb9rW0QCsJB5lJ3eOOdd8E53vnyVxieDNna20Fozee++BXeePddvwsYy9H+Y4YnJ+zt7HLz9quoTgehgszrPIkiBEF+9OmnBi6pFNmK97DMk66tT7U5KTTTWXX/88LzNN4s00dWpdH0Roz6088LLprTIc5voQ9KbyTxurAhckXxPXr9OHq3p2mlqlwgEwG0d1EUOKytcJXh+OkRnUwzm054sr/vQ51Ky/DshNl0RmUs1hhG4yk3b92mN9gKTjkOLXTwck7jz87Dc17GENA2P7f93iTD2wwPzVjfy9o8RRo+IbbxMvKziWXrcfytjTCOt/vr3lHT2vlc7n93SWgHkfwW5yxqMjj2h5hPWfoQtJGjm5dHIoRDiDl5Hr2NgdqzuHlgblM2SWWhplEgLUvkcWJankfxIXHT39bBpclhIURY8Gqz6MLv1hrK2ZjZZMLhDz/g3o8/oJiMcDj2Dw4RxmCxaK1RStHr9dCdnCzLkFKS5xk6y8g7XTrdDkpLrKvQyi9iMiEXnQv2WzdvDEfkgaW3vrqFAAXhk8BivU0zsPlSNE8IBOdCmIyaCPXWBm/5wVsIRPBidQZjSrRW3HrlJgcHh1TmhMcffcj+J/d55c4bEE8nxNVCfTmecPjwI4qzIQf7T3i8v8/J0QkHTw69R0dZorQiDwffeSuCL6POMsqq9GSQlJRFgXMGnMCeDXlyNuQJoJTm7t42W9vbXL/5CjdffZWrd15j78YtMt31p2YyHyiLWDHJLBEoCYSwCO8oFa7SZ0UUglz6fnw5FohgEuJ3nsWiF2OjiAJRj28xtxOcr8K5qrUTnD4PX5fzz7z4mE6nfqxpfW6rQzrRF0Xhx5lSPlRLQwmKz0Wcm6T9xeR3y2x8zOhon9HhY06f3Gf49JByMqacFYCfOK0DrRWDQZ9er+/HsgAhhd+2YS2zaQnWUpyNscZvW7NCIaUiy3OEUvR2dtm5dpPBtZts37hDd+caiEWx81kVnWVKqr+eLjLxOvhu2E60L2vHixTIZWRvnLvaYhM18WlI11VlcMRYTM8mhF4kXKwrxLcJOwskQOJFs8EGG2zwWaKNHgbOra1tiJ4fvV6XNnnMFUPOTp5QVJY876C723QGO8ggq1trcDiUzsjzDuicLO8yPX1KlneQWBT+zAGFoRifcPTR9xBFwWw0ZDIdgxCURUW3P0DnHcrhMVI4tM5Q3QFZp0fe69PZvY7u9Mj7W9iqYHZ2SNbfRWb91e0TvHAW6tViiEzbrblmLmvDi9a652WAvGi9vWjtWkZYf9q8nxWxLG3bbFeVY937Xg5EpxkTdsCxoDQs1mOuRRkLCD+unj55yOjkKThB1u1z9ZXX0HmP7V3BtfCkjX2dhhOMACe8g4Wxlg8+/DF/+af/GmULTo+ecrT/GOkcnVzV5FWWaQ55SJ53kZni7vf/gjzvorRG5ZnXja31Z/hoTbffR2Sad3/xr3DztTdA+DNrtPD1d8IhMsWVG51QS4ETgqyjyLoDcBVaSu59eJfjh484O3rKlVu32L15nbwzSPcOAHEn7qLjjSdW1IK+mKJJ/qwzlp4HXrR+uorwXPfZnxesMpal9yySh6C0RFhBWZQLRKz38PTkXqfjHRatrbBWoIND02Q8QWf+MDJchTUWqSSnJ8cMen0ePrjPyfExxWSMloJca7JuRj7oMzwbczYcoVWHK9cHzKrSnxPvrD9byxm0VDjn5wM/3gW49Q7+bNMx20jVZhiHiNTY0DTkNsnStnaO97WRyGm+aXliOIQ0n6bhp62si/c0x8zieVeLZKuo74+zsEjCs0rp5yjvHTznzDwHaP2OEOllmW63A9hADgvK0nN13V6XyXjsqS/nyLJsQW9vQzOGsy/L+fcBix7RVVXVeUgpmc1mS/No4tIxh+df5i8rwlfWcnS4z8c/vsvpcARlSTUrOTh8AtbQ0YpOJ0MrTa/fJ88yKmvqwM6dbocs02TdHJ3pumEBrDEIqTzjL0FI6Q+fo0m0eFFca42pitoS4PDP4OL2aLcwKJoLjyc7PHEqZfRIDi8iBBP3XtOObjdOFhbnDEUxQ2vJ7OSYb/7B7/PLf/1vcOvV2widgRMIV3F2csiTBw9gNuXJk0MeP3jEwdMjhsdDqmmBlKDznCxT9Hs9H9ctWHqF9INJa+XnIWPJlK+blIrKWKRWVGXplYvxmGo25ez0lJPDA7bufcz1127z6p07DHa2yXrbyLzv2yC+YtpIsDkBNida6htiJ1hY4NsFXdfu6RsJ3Za+15wghFJzI/vi3Ysewkk2S52E03KI+ItoJC7CfODmdX1JEL3wo/AViXsXPHLjtoj4d5UQsjDmARlCP9SHEdqK6XjI8eNPOLz3ASePPqKcjpBhPEkhkQIGO1v1IuusQ2kdTvr0W92k1IgQv0cKQXdQ1YtQLIcJxpFiNqMsC04OHjE5PWL39CmTsyGvfelryAxvmAkeEcIFg45wzD3n68oRYz+60A8c4XUntRZ1R0nb53zHFRA89C+v8K1q91UE/Sor8PPIu+07zA0D9dgTi+VpKr7NcqUpXtRWCwpCy1hs5pHm0yjxBhtssMFnimUzjXdsWG7sAy9v9nq9+Y9BYRTWMp2c4WyJ6g7Yyvvkne3gvFExPD7m8JMfM336uJYLdZ6zfesO3X6fvNvzCp2LMpXBViXlrODB977Ddr+LyLvk3R55p0e3m6FEiZlOkW6GBMrpFDM5YRQ8U7L+Nt3ta/Sv30Z2txFKh4OVT9H5FgjVan9fsPoTV93k12TuXuU5tOz3dbHOGt38/SIZadV9z4plhuq2cjxvoiz1YlpWhua1Z30fP20o5x2MrBCt3bYmFYQEMd/Gm+kM7JTDx/ucHB1ijGPn+i1uvHIblfcw1vmwiCEdEQjSRSKVWo5ywfvsjdde5Vv/w5Cjw30m4xGZAC0lUggfGzx4p0kkmQrzi7NUxQiMYjr2jlbWWiZ4vWBymmOcYDSe8Bt/Z5fB9p6XjaV38REu+hIncppLlSnF6cmYH3zvB9zc2QYLZ5MJRVXyymtvonLASZyTgOU8ByLaVLOlhrNUjrwsPst+eFHaz2I0eZax2zz3p5nWZdJsG9c/yySzCyqcFKIm7VJirqoqz/OYqjYFCS3BWcpZQTEZg+uhOjlCOJwteXLwlG9+85v85m/+Ld58803+q69/nS99/j1GwyGj0RlfvPNlHj55QmXgC1/6ClevXGVrdwehFZWpUFIhdUYxmqB1js5yrLFURCNLi6E0Or8401rP5hw+r/95XbFt7U3j5kbP1GaoyuVt3L62N/NJr7fqi2uubbGNRK2Yxt28Knz2nKFPPiWf4zxD/VeIuac5LJKy6SFwPv25k1bsQ3meM5tOefToMTdv3qyfi8R6kyBurqNpHst4y5hWvDfyOped+y5JDoOQbrFwkBAf4KqKajJFCwmV9daXskIikJmqyb+s2/EEp/AHgimlam/iPMuRCH+ao5x3JuvCIolDWgdC+0VLeLY8ntLqCIdpWDs/tVWARIRoEP4AEIWoyeIYNsAABoXCIUVw1XYOG+6x1taerEJKOp0uzk0pi8J7aFiYTmbe0ltWlGVJpjUH+w8YHj3hzc9/mSzvcPb0MY8+vouzltHpkMMnB5ycnjIejqjKKVJJOh0fa7nb7dDpdOrOEl+2tRYbrEYV3q3dhdAA3WApcJmKLwjnwNiKp0/2GR2fMDp9yuhon2s3bnD99c+x98rrzA8WEOBS9/rmJBJefPw1IWiWTSyLCSzpZGv033n5FkloWiYQX9Yli2Uz62ROWCQD5/e6cze/HEgtfXFMuGAkScNLtMXhWQVBiB/sBJiK6fE+H333Gzx9fA8zHSFNSd7t0tveronpuixi/i6zXCO13+aGFGilEFJ78jkcNqml9O+YeWgbrRRlWVKVFaYqKGcFZ8Mh+/c+4qqD7Wv3yAfb5FtXQHdQwvoToh0I67yySghx4uXhueGrrqGfO+ZiV4if7JnfpM9FnnLx+bQjpf1zWb98Vg+o5mL5rKTwsudWE63RprK4PWjh94vG5AXpt12vqqruv20kdPrcuTxfriG8wQYbvIwIGme7MrOa9PSPL24n9BcFs8kxWndRnd2wG61idLrPk48/4ODjDzk7PsDMxmTSszv9Xh+lNKMnj9i6cYud23dQOgvhl/xW2rKqODs6wJmSrLtLZ+cKvcE2SneIu+RSzyJrLBhLWRZMpxMmxnB670fslVNuvP0VVGcAaHAVppyQZT0c5xWVWtFOrP3CgT1HE69uq6YTwWUJkXXW2GX3ta2/l1Vk03KsemZ9xfjyRM7zJJNfVlI4wghbS4BtAkPdHwARzsSwzmLKGT/63l+AlOgs58Yrt7h26zZCKRwCJYNOFnTopv6U0hPGeM9/CXz9D36Po0f3qaZjnLP0BgM6nZz+1hYqkDNS+v21Ukms87JqWVXoLGM2mWDKCqX8OzZVga1KKmM4m4743f/mv+TOm29z5dYtur0BVii2d/bY3b06L5ETPkRiIidfu3mDv/fv/wO+/Y0/I9u9wit3XuP48AlSSm7deRWpesS5Lh60V89rwQkn1a1WzYVtWDYe1tED29DmWPAsfbkpk8bQfes+18Qq3WC+NjxfQ9TPOtKm8kRh1OVErWfG/tXtZEHHMwgcSitMWTCZTDg+Oqbf69Pb3cFWJcOzE97/8Y95/HgfpOTrX/86f+s3/xb/0f/6f8O/+B/+OX/5gx/w27/927zy6h3eeu/zOGPRSoeg444nhwcorbly5QpVMWMyOgMnGOzuoHTmdVnrdWHjqM/Gqp1yWN1vL/qtiVXjoRkn9yK0kZtpvpdd21YZkvxvi6EY/G/nYx+n63v6z3uQz4ncSLqmYRris23xluO4n81m9HpdXnvttXNtlvaztno2y9jWTs0DFdM40EVR1PGQ18EzH0jXBmsdxlpMaRBWIIzF2orClQx2tphNxlhTYZ13y86yHOeovRXjouYbPIRykAIpBBUWISSlsygBWaZBGLSUaN08QCssjMagVfAaFoI6ZqZSSBXWYhcZIaCyGN1h59YNTh7epyNCjGFjsM5R2cVOJJwPou/lWYc1PpbJdDLFVhXGOEqnuPXGG5ycndAXmul0jLOWh/fuYcuK0dkZx0dPGZ4OORsOMVWJDuRvp5OjtaoPvouWLCEESgcLsQhByjPlYx5LlXQAgVIarWUteDhnmU5mFOWUoyczitmE8ekZJ8MZv3jlBlmvF9olWlwgJYFDsuFP+4B8Hli50C+b1JyrB+F5Ont+T/0xprusDCGvZc+TCHQvOtIJI0Vz4kkn52WT0MJvwk9G5egpj97/Sx788LtMT4/Juz22d3dRShBNDMaYuYVMeUNRHPdSKt+nlQrjc34QjhSeFBahY2qlvMBsHU76CTAfKMx0SqlnVJXhZDRienbG2eEj+mbmy6x75Hnut7tOxqgsJ+t0w9wQlF3nMKagqgyC+eQvpEJl3vta6bzeXiKSXpTYSxYI42hgqZssENzpe1l8ZvXC+FkKfm3ePusowuukuU69mor9RfksI4bb8l+4tmGGN9hgg58ArLWgLlae2hSb5MvCb6aa4pxESElVTTh9/Akf/eW32L/7Ia6c0s0kg50d8iu73rEghCKrioLJ8BChBP1rN5gypLe9i3MWYy1WKuxsxt6VK+SDbTqDbWTeBZWFNRKkSzyHnMMUJZlWoP35IEfW8PjD9xmOp9x84106vQHdwRbGGRTdBSu8r6NAOAPOy9nOVrXihlAh5JvESQ2i/bDcZW2YXr/sM6vQVCSbaMpaz2qgvWzZVhHUzfKtm8aysi3DqrV43TReFJh4zkjwGHEucKJCEE9NEUF+xBqctThT8uDeRwip+fyXv4zQOUoFUinImdFTuEaisLjGNYE/W8fakuPDfaqyQClJf7DFzs42W1tb9Ht978CEP0NHBJ3WGOMdoARgHXYwwBpDVRnyPGc8GjGdTpFakkuJm5zy4Xe+wfvftMi8y3A85XNf+gp/4+/8XbK8GzbaWRTBwSJ4KKo85/Zbb3H7zTcQQoExTKcjHt3/mE4348r113BSedItqWywm52HEBhT4UN5SNK73Ipt9KkRTQjRmDabzyzXd1bOxS1Y19Hjs475Gw8jbXoKPqujyM8+0vezGG4A5nHwa49NWyGVxDm/RplZQVnMePzgAUooVK/H6PAQ4wzf/d53OT0942u/9mvs7e3xrT//NgeHh9y8dYsr167zt//u3+O9L38pcEcm9FUBxvLJ/U+wwnLj1i2sszw9OmJyeoZWiqKacfXqdXSng7MOY01YU73hqQ6jAAshMC8jfzTHUfp7XNvS37Msu7TxpW2NbFt7lo3LtnWuqUM2n2mWYdm1NsI4zSt1tks9y5t1iHyH1pqqqlBKMplMyfN84dk0bvOyuqff22ITp2Vtltt7vItLOf9dOubw+dgXnvioC2EM3e1tuqVBng3RecZg0Ofs9AxTWU/+GkdZGKrMIKVDaUlVeS9b5+YxK1PG31tHHFoqdPAmzsmQmcBHeDA10eQnxhigWfrB4t0UAYtTmso6VNgOD57YLqTk1lvvcnJ0hHTBamsrjPMHbzjnPY1dVdUnWtrKUJUV5azEWkNlLLOiYFYYrMp460tf5MYrr/DRH/yI/Op1yqqkmIyZnA4ROE5PzxiejihL4+M8Sf/ytPbCRHCWrOuVZRnWGbJMI6RES38SZlWZ8B4kxviO54x/3tqqJvGck2S5IkNhKsvoZEhZGo6OR7z2uXe59eabSJURvcERSQDrhNzCyVrQiX1jGQG5Nhpk67mJSbRv7WrCk3aE7fwrJqw4kJak65J7XvZFtShnlFWBlF7ZimgSwgsQQL0NQ8QLoUmcF42NYTbc58NvfZ3Hd99H2IrB9oBur4eUhJhIrrZwihASRYTOLaTwxLD0hLDQGpRChFPS52URKOWFPSdA6hB9XEBVlX6BlP55nWWU1sdIxBqkg6oskEBRjJjMxsyKkiwbsEUYZEohqoLJ8JR8exuJZDYZI5TwWxakZDI8hiBsK+XHo+70yTp9dN71dRIyhKPwArBvK5u0Z/wtaeOFbS9iUV6pq//s8QjXxbMoorFszxvLPD5WGTfWSSsijV2/wQYbbPBZQEAgZ9aLndu87lddb0w0WISzjA/2OT0+4OYb7yKzLo/ufo8f/eG/YvjkIUo4dq/ssXftCrrTrZU2lWVIBOPhGUKMKKYjZk8Pya+/4sNKBJJnOjxBSZB5l6znD7QSAqTyW9et8zvnMqVC+LIK8gycQgrHeDLl1mtvcdrtc+tzX6K/9wrDJ/d49P6H7F27gbqxhXB+R58LsoEwFWUxppxNsMagshwhJEJqLAVgUSIjmmKzLEcGDyuHTLaHusW2W2LUTP9e9B6a96Zpr0MYrWPgbEPzuYvK9lnJBM+CZlnWaasXFUNjuSpcKgoTgxKSvhshsHjv+4effMx0MuLzX/4FH7oFVcvSnlv159d4EVHiN7o2Q5tB1K2l1AjrmJUzDh89xJmK3vYW125cZzAY0Ol2kQ4UYKzBWEOmfIgJY0w9hwglawcjguOD0hm9QeUPswuE9XQyppIFlanY0pq7f/ldDg8P+IW/8jWeHB3xxS9/iStXryOVDsWUCLyhSEpVx0je3rvKwZMnPPrkEVvb19DdqIMv7oBoCmKxv0Q9xd+71N3ngr7f7HdzR434yE9qDK0jq37qPBC1YeBTp/UTKO9PG86lxGLax84ToVVVooRlNpsynUwQwpFJwenxMd//y+9ybe8anUzz+MFjnhw84eHBI3pb29y6dQtrLb/6679W69G/9Fe/hhBQlt6glOkMIS37j/yzH939kF/85V/yTpDOMDw9RhrLeFLiRp4G3t7dQ3c6QSEXIByu1jvDDnvnDbpNI8gqQ2mb7pXO4Z+2X7Slv2zN+Cz6nhCLHuFtht5oEEivNe+PBG3TEBMN52lMYGMMWZ5RFmVNDEfCNqYR80ifa3PSi+VPvZabHsMxrbS+l/XuvpznsPDB+eF8wGoTwi2YylC5ijc+/x6632dSFVhnMJU/SRljKcoK5QBGdDoZXdWrAycrVdHtdKjCBBcPXwO/tQblvTDmY9hBBlqHlykcInC+QuBPUxbghMQK6UlkayDEfJo3rEX1tpiNx0yODsglwVvYYK2gdAolAVPV93tLkgsxVyqEk0gcrnJYq7AS3v78u/zLf/a7bClNVdngBSlxxjKZTZmN/WnQxnhLlASyToesmyMgnCYrfH5YwHoiTUoyrevv6SSmte9ownorqzUC4wzW2WC98BZcrTWyKJmOR1RmxL/8J/+Yv/c/+Q/YvnEDpEIj4+l+npAjaXfaJ45VRE7z+rmB32IhWi4StCON3bLwXE28NfIMBHJzCmqblBZsjC+ZwKu1n8CMMUi9aL1eroREoYzQTvF6CBDvSqYn+zz+8Xc5/PgDbFmwu7cbYg8t5i+lH5AyTl5C1N5UUmn/T0qEUt7LSUq8z3Es3+JpoXUaeCt5WXjjUlUUlMXcyGStxekO/auveJK6KtBbe+xmXaQQnO7foxidgpSUoxGUFWeHjylmU+x0RFXOmE0mTGcTbFWihEDnOd1e38dI39oFldHpD+hs79HdvkLe28GpHFEL/A3rH9HjYsEfIrljuVLb/N5cDNqU3nWxrE+3GX2epe+vIpNX1W+Z5XhVOS4iB1KBaYMNNtjgs8OiFLMusRifBH/Qs5me8fThh5ydnvHKu19B9voU4zN++Kd/wv7HH3Ht+g7Xrlyh0+2Qd7voLPcGVym8sdVaMq3ROqOqKsanTwFHb8uHpXj6yceMD5+gMk2W50jhD6Wt15dkjQomY6/UCIUzBUJpOnLG8MEHVJMRxx9rBjvXyTp9jg+ekCuB6m0jZEbW7XtPYFNSTk5w1qLyHrqTIbMchze+ihD3VArlSWxrcM5QlTOvVOc5gsw7AnBerln1fVm7r7vOpUrc0vf3KQjiFwnrGoKbivay9nlZ2uJpabkjLJnTvv8vnIydhnsBHBw8fsSTx4/54ld/kbzT9UaOFqOFc7ENnD8a3blELhRBVQkkpgRwnB4dMRkO61CKmc7qQ8rB63NaZN6RIpAH/cEAoJaHvY6tKCtTh1TMOl1UNxAczkGW4WyFEpqzkyFCSsZPHvO7v/NfcjI841/84/+Wd7/8FX7tN36TV998E511fJiJyFVIT3XfuH2H6zdv8fj+JxzsP+bVO3cQIlAOMVZqoNpTj9ra0Si2tHBzR5WaNJ9jpcFGsKjz1Z7gkZCfe4Zetk8+qzNF+v0iWXjdMrU900Yspfcu85x82cdsRLs+5P96Z7pFUi5tn2ZVvfenYjQc8uDBfcbjEdZUKGf4w9//A37nH/4OX/3yV/kH/+Af8PTgiM9/9av88Tf+hK/9tV8LvNR8j2nqJSqkN6o4U3H/o7v86z/4Q/I8Y+/6VbSSOFP5XbTWG3mcqTC24vDgMZWp2L1yhSzvYnFYF4IzOV9RwfzQujY9cVV/WLc/LTO2tqXTdm0VKdy8L733Mk6Ii0YgB0jPi9Xkqqt5hVSG8FNSzMc7yPl7/Pd4WGH8F+eQprNdvK8qqzous7WWLMsW6tas67JxmpLTzp33XG62kRDzwz6NaY9B3YZLeg7bc4a4aPE8Ojyk3x+Q57kPujyZ8vrn3uHqtev8ye/9K4TwC9JoOPRWSuG9hXWmKGYF1mikskhRUlWeXQdPakWvQ7BYpTEhvjDhn5T+8CopvYevkK4ejM45pPDldMJ3DoXDJh7Pnkx0SFMx2r9PLqu68zgHhZNs711ldLiPDVvjAYypsM4GD1p/OJ71qz5aeEH8X/2jf8TZaMRXvvhlKmdx1nJ0eOg9pasSawxY6w/bE96qBH5Qa6W9sOAkUsXfpA8VoRQ6eG8458jyEDzdGUwVyDTryWBUBkYgrFmIlzLvRIqirJgeHfFHv/tPePsXf4HPfeGriKwDwp/VK5C1ANTs/E1ctAhdtKhehnht3hcPVztXNlf/J2biLzcG1sLt80x8Pi/Z4phCSkmWaZw9P4lBu+Di41n772nVLQYslLMzRkcPOfz4LsXZmKzfWQhKn1ro6j4Rr4VE/QLpw76gZHAkEJH3XVBM5wckxiDyflI3wZM/CtQxto4IQrLU2h+2WM2YDZ9ydvyUqpgxm00wszGu8nOOsHGb0AQzKzk5OaWy/oAe5wx57klvjeBMeAJb5RqpFJ28w2DvCp2tPbavv4Lq7dDb3iPrbSFUVjdgJIXn7T2fh+aNv/w9rkOsPgueRTh+VlymvJ+mbqsUcsd5wfFFg7WWBw8esL29/dIJ5hts8FnDOcdwOOTVV1/9zLfrfhoIIest34vXL45rKZzBlFNGp8ccHzwm62/z9l/5CqA4un+Pb/2Lf8z4+BG3X3uFnd0emcro9LqoLEPEnXTabzeNYdqU0ljryLIclMY5RzUZc3r4EGUqZJaRZbmP/w/1em2tX3tjOestkUJ5x4sgonaVRGY51dkRpwf32bn5Fp//td/i9PA+RVnS6fcoygIpClw5oRid4pxj9OgTZscHSASV0OjtPbRW7N14ja1rtz1LJhVSKHKdU5UzptMxmS6QOsfJLMjDFpwIW+AdMUSFNzAHCi5VSFm+ziy8E+fXjRi6bNlavEgyiNbf1kGb0rysfG0y+UUK+7OuKcvIq6qqLhyHUUGtquqZ8v5JoytAW4mTgUiIdReN9nWW0ckRD+5+wM3X3mCwc9X3V+f1p0jY+CT8czb810nLk4cPODk8Isszdveu0O8P0FkeCFy/+/Xrf/SHmOkUjdffpPIEcJbn5Fnme3YgAtL+6dvc64S1k0bl34ESKhxsrqmqEoSg2+16nyDgaqfL2emQflmQZ5KtQY/h2Zj7P/oh/8WP3ufG7df4H//bv83Va9f9mUFZzmwyo9Pt+JCOKufma6/yg7/8LlvDLbZ2r3gHqXAQtLMOmWui80dsX5GSvaJ93LT19eZYcNHBpfl4nBsC4fw85KvW+XvNa8vQNmcslWlXzC/rzB+r7vlZwJzYWyTYILZDSiQSrkM05EipyPMO/cGA737nO5ycPOXa3i6/8tf+Gv/sd/85f/qNb/C3/+7f40fv/5hX33yL/8P/8f9Ed9BHKkVlLNL5MQuE0BSeL7KmZP/hQ37vX/1Lruzu+rAgUjAYDMIZVzEkVMnhwQE686FGZdh5u7N7lazbRTiBCWV3BPLT+R3k6Zq1ymB52e+Xa/s52gyrq4jk5m8ph3ERDyWiYcl/Y34I8CIh6//aFpmsmW56/yKhnRLF8Z6UA4kOa2kdmvVLn23jzmIa6Vqb3tc83K4K/Eie55eSky9FDktBOJCOul1jE1+9fo3pdEpljd9mrXKstexe2ePq9euY2dQTccbgjMUYR1XNfBBtVdDpdOj3+ggtmU1LytKTpVrJMJBAa4kxFikV1uq6ANpYpLK4EJtIuGhhDFvf3dxLGOkwtkIK2WhggagKZHoaICCFJNMZJ/uPkNZ7+C4y82HxtZayqqhMCcIhlaOjNddv3uSNL3yBWVHQ7Q/I8pzh8JTZbOYXeDF395ZShTcyJ7/iZCaEQuAJdSEFGV4A8DGJFc6ZYBXNcdpv76lK45vBGL/tR/gyx9iv0YoshPIH3FWGh3d/zMOHD3hw9xN+5a//DQZXryBkhrICu+A7shx13N9LCKGfVmBt5l/P6svyWVKGc5MhDa7uJV0ovXIXwxsI/BaUeSgDF7a2pSEnvJd7sGJFq70zPiagMZjxGeOTE2azKUJIlFQ4GzwSSJSnQKQSxouQMSREPJxOeeumw49TIYIiZoNg3FCycD6foPBWVQkWRJhbyrIEKegOBjgh6fS3kNJRjE8YHj5gdHxMORkzm44Zj0YI56jKgmI6RVhDVcx8mBhnyToZ21sdlFR0ux2E8gK/NRatFVknZzIeM5tMfFryAfnHH5D3e3QHu2xfuUnv+i36e9fRvW2kUMSzn70w7xVWwXyLyDO93xVK6UWIZHqv11vpDfW8cJEQms4FbZ+Xoc0Kvfzmy5b6J48HDx7w+uuv/7SLscEGLzTu3bvHnTt3ftrFuBDLCI4oa4ooVweS1VpLOR0zm40Y7F1h59pNhscnPP7oQ+5+7y/55Lvf5Opulzffep3B1oCqLMll9LiVOCm9wVXKmgBxzvn1WkuEzNja3gMpmE5nZFmXojilqxVCCe/RKCROyFppSmtQz81hQ5kQEqE0Mu8iigIzGfHkB9/k9MFdentX0d0ttBR0+gOc1FhTUmGZnj3l6ScfYsqSXj+EsrATzPGYYjrhwV/+Gbuvf543v/rL5L1dhHEU0zE6U+S9Hs76A8CEsjiZB5lGhU2OJiiDEvAnzSNECAwgwMWdTPMlIVVIvaTiZUkXVYhGvL+2d9z8u2xNvgxR9LywKs9VZWkqv20nq6dptyn2Qvj4i+khyC8yruQ5wgVCIX1/YSxYfP1moxF3f/hDhMp45fU3cFL5o2zS5ox6qYvGaYvAMjx5yunhAXY25fRkxsmTx4Cg2xswHA3pdnPuvPEWBw8/oZzNkApy7R2HqqqiF3bcmaokzzs+3GAw+vgzeyTWgdKZP6cDUJllOp0hVdj1KvxZHtaaQFiF9ysEeb9Lx3XRvZxiVjLob+GM42w85fTBA/7z//Q/IR/0Gexd4cbtV7lx6xa7Ozu8887n0J2cyhje/vx7nB09pSoKdJ77Q7Hrfw3CIrRzZSpwPuxk3YS4MGbn6t1cT06vJ/0wtj2L4zE6msS5IDqbrDMGmriMEeh5OEetGr+rjFbPOu5juV5mRL4GFgm75YZB8H3K1X2q19/m9dd7CKH457/7T/nFX/4a77z3Lv/33av8p/+v/4T/7D/7z3jt9qv8k3/6T/jab/y6P4DSgc6y4JgVzBXW1CFDp9MJv/+v/iVSCsbjMUpKdnb36HY6CO29Sw+eHGKLksl4THfgY3+Px2OE0j40jIAs66J1hrVgonXHzfv6eafAxIiSkJvPu83Tv9DeR9cxzqbrSxu5vwxxnMfPTSI3JW5TUjUtQ5vHrQhnIqUEdSobxDWy6eHb1NWbbbUs5AV4T3etdeA9qrq8abvEdGM0hrR+l5E1Luc5zGJFFiZf4S2WlakoK8vB4wfceuM1jk/HCFuxt7OLKQ1Xrl3HOcF4NGY2qxiNxmT5PMbt7s4uQvjFyRiDiZYWKakqgdIapWwtQEvpD4xTxo8EgSeYVC2x+vAQmMq78IcXYF2DjBEq1gQQdXw1jMUVZ+RYSldgXfSg8ARRWRqMCWy+cxjjO5jSGqEV7/3iX+GXfv3XmUyndHt9nLV0795l6Awahc4ypJLkeR5IW7MgvBrj45dUlQ9nkedZHcrCWoWUWRJk2iKE8jGsBCjpD7QryxJjKqqyrOOhFEUBgDHWb1+QjkIIuq5LUVR88N1vcbz/mF/+jd/kjXffwwrtY8SJ+XECTavKp/GSWOhnK4Tu5vcmeRRd9ZvCAFBb1nHn+/HCQiFETQovDOSY7su4SIZ6lFXljR71pAVlWfpFxViEjn2PRQbdelK4ms2wpsTYElvNQjgUh3WOYlaQZZq8k9UxcdJYN0KIug/FQybmHgMxv+CVhEUKtTDZWVuBC0Yqa328b2PqibuaFUzGI2azmd8a282ROkN3t7DFhPHxE04ODzg5PGQ6HDIenWFNRVlMa7pWC/yinEtU1iHvdOh0OijtYyJHr3QZCG/nHIPtbUzfYEN4mbIsGJ9OGJ0cc7r/iMGjq2xfv0V/7yrdK9fpbF9DZN7S62wZts5eXvhqLpwXd4HzHgxAmFfyhYVy2fPrWJLbFrx1ynVR3hehOSectwC/BIxwgu3tbQA+/OAuO9vb+PXA9/VVQtFiPf227HR+q4Uled4gIZxXJi+ag5v9rilwtZel/dlVz7QJkaus6s0yNcuf/pbG6WpLb9m1tvJdVOa2621CeVs/vUzbNNO4aDxdVP/mM6vSXrfcy9AU/KH9FOz42/BsyNufe6seJy8kgixx0dwKBPLIj01TVUid+bi/wvD0kw94ePcuP/7ut5mNjtnd3eYLb99GdjS50kgh2NrZwZbVAvHiYwZ7A2RcYqWMa5ijKqaYqiTrdOpt5kL6shpjQdmF90HL+7fGEgR4f5hs1kF1+ihXUc7OGI+PKY8f0rv6CmVvG6Ek3Suv4oxhcvSE44ef0Mlz8p09dNYBvDfVbDJmVs3oawuHH/Oj33vIzfe+SreTMT0b+Z2Ku7fobl+DvBMcM4TfiVeOEa7CSW+MlfEwO+sQ0vm124b5hFD8KPY0+m3c1ScucZjL+W7w7Ova88I688JqskQsjMvmb3HrapxbL3P4zYuKXAgfJqGhN/hR6ryHXlXw8Yc/5uZrd7h661VU3qE+EluAi+Syv+IPhDMlTw/32R70+fiH38dUBdVsxng4wlhDr9/HlSWj0xP2T4744be+ycmjh+RaY2xJJDJFOMfDCR+OUIWde0L5sHrpO7DO+jAzCIy16ExTVZ4EiDvvbHh3Jui4MQyhdZZOp0evN6CYFZjS0O312Br0OBuPGY5GPLr7AR/96Edcf+UWzjn+aLDFr/zaX+Pw+Jhf+pW/Ag6KyRSV5XHPrnfoSuYW37ie2LDOb8Netq7Pbz8fBgDSuMIN/a4F8f049/xJ0OZ80iSmLpvGst+aa/pF8u+qcd6Gz4I8/KlApDtaF4b1hXAIKiO4/eod/uf/4f+KPNM4B+9+8Uv8n/+v/zeU8NzK9t4eKuv4cE74c7F82zkfbx+BcwawdDs5/+6//+/wz/67f8R4eOYPPReOu3c/5NU7r5PnHYanI6rJjDyEhyzKAoT0nJbSzMqK3b0rdDONw+KsAUS9szwSqcs8R9claz8tYrrLQjA0+1gkZlMSNiW515ExU3K4Lc/02bb10TlXz6OL4yiQ/Q29p0laN3WNVcbltIxNMrfZLnFubKtPWzul5VoHlzbfpoWtGWl8aFpMxWx8RjWdgC3QSrLzymtMziY8/vguezH2igDd6XB2esJ4NPSElfQC7OnJcX34ms60F/gAYQXCCERYrFxwmddKkWUKbSs/EKzEAjKcKLfwouDc9r5F5cxvb/cW3djQDim8G7ew4Kw/XKuqDFVlqSqLsYKyshhjsdYvqM46dKdDf3cHqXMGWx2fnILtvSvsf6IojcE4G3QCX04brQbW4qQnX60NHpdCUFUGKSSVEFTaUFmLNIY899vtZsah+32q0RlZRiCfwZR+i70xFWVZ+ROsAWsJBwE6OjIL2xWmzGYlp08e8yf/w+8yPTvhnS99mbzTxSkvvKfEcFxQzy0eYv1Dnxafq5s++eOSH5IfG2ksdP6mMt58Kh1Uab9wbuG+Zs7tub/YqCdXQuiN4LkR28zFA+PSmrq5QcjZElNMqcoZpiyx1qFVRqfboz8YMD0dMZ0WVNYw6PfIKlvHOVbRU0Qk5RBzYrh+3c75+Evhs3e9CES9tSHeoD8E0hQl1lRhPPu+NxmNmY4nmKpisLuLynN0r4/QOaPjfU6ePGJ4dMTh48fMhkNwhk6eIYz3us+0opNn5Lmi09VIlaGznCzLkNoTww58PDfnyPLcE+pS+K1DRUFuDM71qaoZpqgwZcXw4D7D4yd0t3bYunKd3u41tq7eZOvKTUTewzkVhBRXt0faHefdeDUR92kwm81qb55VxOA6AuJFQu9FgsciiXl5tBF259J6CWTcWI9et8dgsIXDcXpyitaKra3tcwv9UuEoeNh7oTRJXya7CQKkEBSzGXneWVg7L1IklgkxF5HDqcC0rN8tU2raBNplxHC8P00vHirbFKCa+TaJ24vI3Ga7LBszLwI5vCyfZc88Czl8WQXYuflhHdEYt+rdvsgKq6j/cx7n5yQvh1SzCQh8aIbZmIc//h6ffO87PLr3Mf1Oh7e+8Hm6gx5Z1vXGXEl9xoLKO8nisUhm1dunBRRlgUVikZhiyvj0mG63R3F24g+1MgaMQQZZtI0UrhUq/FkZQkqk0ohuHyEzZLdHVk7AVJTTGcVoSKe/jTMV5eiYs4d3GR88RFpDZ/sautNF57n3XpyMMNYyHU8QUtLv9RlsX6XbGTA72aeanHJ8esiNnZteTrCO4cEjur0BvcEVyDvMTocUswlaaVS3h8y6KJ2HA6wr/2Ki57BMthW7ucwpCFuBXfy+WvZrG+urldbVfeOiMbRqPW7OJc0xdJl1fN25Ic7lF83DLwu09bsvLQ5JMgcCVoAwhsMnj0HCjTtv+BBiwIInugAXwiiWkwn3P/yAyeiU6fgUJQSmmFFZw/7jfY4Pjrh56yadLOPp2RhhDbl1FNMZgyxjNJ2g8hyhFWVZkXe9F6EIOrNS3onBG3h9/tbaIEszD8e4AEGWReckF4xH852lzZ2gOsvQWYbKM3o7AzqjLlnHH0hZlRXj/SdMZiWTfo8Pt7bIul2kMTx+/Jg7b77tdVocwhmEDFu8hQAkNo6/oDe0rn0hBnGtpdUHiUVCPp33Llp7PHEkYnpu+Vrf+vQa42jVenUZgriZxkUyWXPdXDae15XHL7ue/7SxlDx0899XVcWvB27hHucgy3QIxQI6yynLgqzb58btDlgf+1dKweHhEf2tLTrdLta6cKB6jAEcyyCRmaaYGKaTM5wzTKczPr77Ee/9wpfp9vscPNqnmM0QzmGcYFaW3izlgnFF+t3f5aCg6wxaKQQWawXGuoU5edVaEduoaWT4NGiSrs382u5t3tPUB9eRuVehSeQuK0eaT9vhdE3ivS29ZfVfVaZICjdl/UgYx/k4ksNtaTe9lmOYzcvgkjGHF+ONiSBJCefAFJwcPubs6VOcrZBS8PCjj3n17Xd5/b33uHbrBt/75jeRWoXQFJbKFFjnmM0KqsribIk1FpV40sLiqYDWBmtiiKGkVOUD82uJU/ElSL/IEchCFxv2fKdP435Ya+ulJL4E6yyVcxjrqEI4DBO8FY2xOCeYTqdBbJTBixgvJGtNp9trNiKvvPY647Mz7n3wPkIrOp0OZVWinKYyBmcMDoEx84VLiHlZS2O8QFBIpCqQMkNWjm6eo5Sku7tDNZkgcUjhyLRECo1S3vvad6jYDvjDToyPAaaFoNvJEQgmkzGj4wO++2d/zGw85I3PvcvurTsIHeNbxUotTsB1J3RuLY/Ic0JsWOjTg2zbqGGRpN38nt63NN/4ey10BJL4Ig3gpaOGPZzzntX+EJf5hOUPMAzj2lXJROVwzscXNlVJVRUIa3y/ktAZ7HHlNe09ISrL4ZMDZkWFMWf0KkOn08Voi1Qz8jz3AqXOEEqdf1ehr3gvnXC6exIexBmDNRWmLKlmBTaEdylNiXOCLO9QliWTyQQhBL1ejyzr0B3s4aqK8cE+o+Njzo4OmJ4+xZY+rrnAH+CY55pup0O318UY730ldUaWZWGrnkCq4FUpFDp4hUgtawLDKIuWngRXWmBz791sKn9Y3nT4lOnZMfnhQ6bHNxjt3qR//Tb9qzeRuoeXeIPwAI2xs7iYLVvon0Vw01pfKlB9W36XETbXQhyLnzqZJUK0eyn4YYB6N0QxK9BaM9ganIvl3cT8N6+EKbwR0h+O4xcUW4la0Y3MiCfmDFJWtWLYhrb1c9V7v4iUWCZUrbqvbR2/qE3Sz1GOadtqt87zl0GzXE1hd1mbXEagayqdzbRW/bZOPuu00TpYZ65IPd5eFmW0DY6LpzHn5pORtQWmLMi3dnDOcfrkMR//+H0ePnjA3s4WN65fJ+90yLKuP0gqU1hnQoiysANlIaSX9xQGQSEqrJRILZFOYqWiFJrcehkg7w9A55iyophN6WgFNsMZH/rJAS7pq3W/dTY4ZPjYoU46hNTkdDFVF1vOMOaYspxhTOm9mooJdjZieHpEr9ND5xk6zxBCIZVAaB9qKs8ydN5Ddba48saXGFx7hTOtOPpkjJmNsM5Qzs6YnhzixqecnRxwxsdsv/klOrs3EJMho+ExWTlDmJJubw8IMU5F8Px0zp/JkXj7iPjeRPCKFoCrg0x4wi95f8v69LJ5rarKIDec98Bt3v+8ydRnHU/Psywvy5h2eM9z5SoWgqo4h3QOMzM8PTzhzc+9i1YaG2JJuFRjqQ0Llocff8D997+HwiEzTQU4YxlNRkjn6HVytvp9TFkinaWoSn9WjrR0ezlFkaNyL0cj8GHOxNx5CKIeJOcElPSEqRACU9l6Pko9CZ3zzhqR8Oh0stp4Gj33wMuKZVmG3YYh5rHW7G7v0sm7HB0dgXVUpiLLFffvfcT1a9f5zp/+KXt7eyF8YYVwluHpMQIY7OzQ29oJO+gkOBPm/+XETQovKi7GEV1HnpgT/el2bzl/b2tgmdF31feLSN1VaV/2/rZ72gzSl8nnpUFSbCHm30X8T+SKF8jfRTlp4bv04ReNsSgtkdKHTpVKgfOcj8WgpaIoZownY771rT/n+vUbfOELnycbDEIs77CeBGdDIXx4mm5/wOHjJ6iws+fVW6+CdTzef8xsNqOnNFhX76gVWKpySjGVzLTi7EQicAy2tn3oVecdGWOscT9OYh+f8z+L7zdlXObX5urY6nl78R5R551ej59TnSCe71XrLClxL/xim8o0ka+I76lZ7pTSiaRqU95OCd2aBK7DZyVkOdFzOHARF4ydpmwf/8Z6pmVo00+bpHTML/IMUTY2xrSGlGjWDeby9GfuOdwkAHEGW86opmOcsUyLmS+Um/Kj73ybnWtXuXLtGr/4a3+dex/+GBusnNY6rMFbVcsSKYQ/5C0cnFZbQqV/Oc5YlJDYylBar8xGAdKaDGdB6vgSYoMZtM58MX2BWyfHxZNc/fb1SAJb68Jhc/75eKBCZQxlZTBhG854PObg4IC9vT2kkLxy5w47u3vEjhv6OP3tXb70S79Cf7DFX3zj654M7+T1Vh8TOoWEYMn1JHQkBIyx3sBZVmGSAiUFlalQUjN5/JgsXIvjxgpQWqJ0jtIKEzydq8ogREZZhi1EUvoTqgFBl/F0yuRsxNHjfQa9Hnl/m96VcNhC3SnmRNa6Qt+5iTeSFDHJhPSt82iMw+ZctWwJW5zmkuuNstowaccD0UTLPTE9FxN7SRbOhXq4Nnu6qyfd+oo1uHKCLSuqckw5G+GqCmcstioxsxHZ3jVufP4rkOVk+QecHjxmNquYzUrv2ZDn5B2NMQ5dGrpdyHKB0Oe9Hn324b1HYjh8rqoZs8kYU1bYys4FV+fH5+hszGQyweG31+a9Abq3RT7YYXz8hOHhPpOzU0bDEySOrJOR5Yos0/Vk2u31yDLtD+7DIaVGau2FaykRWntFW4aQGKG8MpDZuUxOBJWeiNM5UFl0WZJbQ1kWzIZDngzP6G0fsnN6zOz4gP71W2RbVxCq45VQIWpvDxEnjgSt42cFUbvKahx3aqyLi6yty/K/TNpthyZeFpeZj15kxHWp2+tSe/8RlaK5wTaeiu4QC3OjCL+JcCCqNQahNEJor1jWGeGNrxJmkzH9/qCeh5MMQ8IiddBJyrrwrS5/Gp8rrVf6OQYsmufgaHt9c9EzFSx9vPQ4VObbeMMhVE2Z17l695FoJnoB0n61iuxuUwqXeUhfhmBalcey+9b5LR2rq8jkZ8GzlLU5d7y8Y9nNhb8E540ZjrKYoTo9hJKcPLzLB9/8I558+GO6GgaDvg9vJAXWVGArpFAoldX9VorFeLB1G0pJ3vWGT6UVVWVQecaVmzdgNsPqjKzTpb+1TTEaUoxGXvYWColAZTk+9NrinJO+k3nMPl8YT1g7jLPYTFOVMx/z1FiKakQxGWGKGXS7RKlKxHSspZxOkVox2Nsl39pBKY0pC2wxYTDoM7UFpw/ukuWaYjykGA2xZcFsVkCnz/W3vkh3a897K4d501TGewPLOFeEMzicgapA6k7wEbX1vLXkjS5+b+pFq3qDcyilW+aHSHDN71u1hjV/v8g4dlmsQ3Jf5pkULwvh5MLiUJMFyW/COqajEds7e3S2tgDiahMXsGQtsgyfHvDjv/gOqpxRIRCFqseMrQy28gb6yXgcDhj3RCkSkP5YcJ3l5DqEEgxt6HW2ecjE2A/8WmP9OkpYK8M66fsraJ0xnc5wzjtGSSkpioKiLNFK1Qd8w+IcXuvMYceh32kEOzvb4OBsMuHgYJ9+t0euNd0nPU9qITHGMB0P2X/0EOEq2M+5evM223t76DwDa8KhdT5chhTS70xY0mcu6mdxbKbrb3P9rtOI7801ZZnleS4jeJr3XtTnP0tDUNsa+jzkhxcaiyovLIzh+Zq7rmHc4UDGA1pdbXDxoYrCeAiGHKRFYjDFhO/82de5sbfNq6+/gdKSyoRY/s6BBSUEWztX+Ot/82/xO//Ff4UTljuvv0Xe7VFUFTrP6XZy7HRGLjVYgTOVPxfAzKgwmExgZopirOnmHfJuP6ll3IHepp9Rr43z9+zZn5Q4jvdEEteLF01S1hO7MZlI8Honx2Z7zo0wQvg2jbv6Xf17lO/neoFNPKFxLil/rFucgeMYF8A8FJ8PT+sdIeMBqtERNBKvPp94AKnX9K2bpxm5SYEM5Lc851kcD/mMv8X4v80waXEuSuMdp+Qu+J39zTCC8V1Fgjh+jvWM9zYPxrvM/HIpcrjVAuYczlScnRxTTqY8fXrE2XBIVXoP316vRzUecvTgPns3bnLrtdfYu36d97/zXbD+sLfxaMzZeERZlJjSe7ISKmWdo5NlYAxIBdKB9DGTZGWYTUtyXVD1cjr1whUWRREHRXDFVvXSvdDAqRt3/GyNDYufF1SD2wTWuHk4CWdrcso5R57nXLt6DSMcvV6fhx99zDe+/nX+zb//2wn54rcBZp2ct77wRfauXeHbX/9jzKNHSCQTJaiUwszKcDiA98rUMZaUCGEvnAwLeYkUfquDtiBMCcJvgrJOBcFAkGXZggV4cZJYVFCkkHTi1nnjie+zk1POnh4zOT2iv7vrBWgRp1kRBmmM4XNe0V2bHPIJtnS+JfcL3yXOpdF81i1Nonlb8qE9vzh5eE/zl2PhvIi0axNuqnJGMTrFTM6YnR0zGZ2G2N2aajYj73QQR/t0r9/m+htfpLdzjf33/4Kzo0MmozOm06k/pLLSaJ3R6YBwU4QQ6EiqQjigLpAnoX/bYFHFuSBMjqiKGc5aipmpyWHnvIHDWqiM91bu9PpknS6D3WsgFcePP+Hk8DGH+w8pixl5punmGqkFvV6XeEBcPalKQa5zpNYgQzgJ6Q/bISqVLvYVgQmGBKEVwoGUAoX3xrXGojKH1H67rFQ+hERVFpwNnzKbzdidjqhmYwbXx3S2b+CyHgiJUHOvZJCLnvKXFNiWkT1xbOZ5vvS550UOAWvHImySaM+D6H1ZyeLY/jLE0W+SMvV9WH9icegvLgg0wvkDnEYnTzna3+fRw0ds7exx56236W9tUZUlxhiOjo4Ynp4gpffEv3nrNrvXruGCYhrJ4Chi1yFnnJgT0kShzyX/5gKc/9wgGoIbhYhr9kIaJGkEIXGeUF1HncYudLZuJ99+Xh6ILLBX3p899MlFxMiqMdpGwK4igdLx97wJ22bel/EquCw+TXkva2B6oeAcZVmhsnZRuyYvAJyhKgvy/hbVZMwH3/gTntz7gO1BTr/bpdftojMd+rahKKZ+N0ueIcWcHEqJYRG2lwtA6XBQnfM7dIrRkOnJgZ+TpVeAOt0ubjZlOhr57elSoaQKYaHm2ygRIvFQ9oth9LwlyqnWztVHB0ppvyVdSsbDE+xsigyjP45tIfyB0rYsUQJUr4/MO/S2tzDjpxSTIeXolJPDQ5RyZOWIycmIydhvyc2koqslo4MHXHn1DXQ+QIis9hbLMgEunAQU5hUtJc5lFKNTqmqEzrthLpn3t/nYmMcoTtOIynSDPlw6rtv7sljjnuW/r0vgNueedfJ63nhZxnI0VbqoSUX9CT8Gf/CjH/DG597xfV+2kIQObFXy+P49vv+tP2d8cgzOUpQVWkqss2F7sKUq/bky08nExwcWwq9l+B1pWmu63Q7djp8LVAgfEUmNSH7M+6oljaXrgmxan+djbTCeznXgoihwzjGdTLh+4wanJyfJvKLmu2uFwBpTk84AOtN0Ol3yfIpSksOjY4pdwWs7V7j1xtv0tvpMyikd3aMz2OK9L3+VqihAyTC3wNPDA6QzVEXF9Rs3QWUIdZ6YXiWXNgnQlBjWYRdWWRTn9OH5mIBUdmmmFe9Pry8z7C4r16r7mul/VljmULLOcz87mId4eOYUFgylPiTWeDJiNBqxPRgwHgz47re/zZMnT3j3y1+itzUIa673jpfSj3PhJNPJlCu7e5jSIvGOjzduXOfej95nNB6h1QA7Lel2cqqiIMs1OEtZFrVTZVWVaOPP7JEy7t5Od6BXdd29R3Ekded9PjpzpPPHfEwsazC7QChHojht33k6AufmBLQQYa6MirUz9QMizrti/nwMMemfl0lec3LYPz73jk6J1yYpG+Plm8rMCdVwXQWC1wU5B+t3HCE9VzDn5eZjqXkwXbzW9FZOidv0OlDP6VmWtZ4xkx5w15ZGW9jBZTtB2/DMR8bWSoV1TCdjut0u98cTDp4cMJvOqMoSVxl0ntHp9dje3sIUM54+eURvsMUXf+Er7N+6yd2/+AHj01N6/T5n4xHj0YiyLFBSYMoSZwyVEKA1UorgzetASuxshpSSWVF4BbcSOO0IZ8gy7yC+8wvCiwqxVY0xgTDGxzStG93VhK8Npz46a2tP4aKsqKwLISTmhKizDqW8Vclay6DT5a233z43+cTvSmfsvfIqv/Fbf5+PfvBDvv3H/5qOs9jSYKVCWH8IlxWutgrEQSKMxQhJBVRKUhUVlZRoJeuJIOSGCnWMMWCjfVsIf9CAtOmhfyVS+nziqcK2spRVxXg64ezslJ3ZhLynQrsCwmFdUAREPABleZ9pCswLi2SU4s8tWk1BOL3kB219aIQQCyRvLdQ112Lhe8pc3GtMZMmFRZqCekJ52bBMqKqvC6/k2aqiOHvK6OgRs9NDzg73mY1H/j58yAWlM5TWnJ0ckm3tsX3jNd78K7/O00efcHjvh5wdHVFOi+Bp740dQnTRVQZCeE8C4UOZ1OJs7OcE0skaf/BdMaMqKkwwzsTx6Wd+hdKCjpB0uz3yfp/B7h79nV1mZ8eMTg8ZD4cUowmdLKPTyel0cpRSZFlex9oVQiCU7/dSKR/sX6q6zgKi+bX2Gq4XDOFwNm5XCYs+QRiv/G4IJ2wdIkAIBU4xGY8wZYlxBqckpqjo7l5D9bexxpPNMR67D6Mz73PN99jmJbFuH1gm8DWNCmk+VVWtdep4LMtsNuN0eMr1a9dTpnBl3mkaz4KUWFsk437WhFw/l/mt0skaaEqGx0d858/+BFvMePjJJ4xGY8rS8Ce///tI6b2DnLWMJxNmM084dbt9rty4wTtf+hLvfvEL7F27iZDany8g8KNBeuGxntfr/6VTrV9v5gLoYpkjMSaZbyOLpZfErbGeYvLx3wLhTfzrY5FPJwVVUTIYDBBqLvC7EGdfSFmPWwc44TAEY1TNYC0Xe9uwbv9ZxyixTElLvy8qIcvTXdsTJpkjUoX7eRtQnmWctRFf6Vz00hh5hA89tAxpPUxZoPMMJ+Dxh+/z4Ec/AFFy5eoevV4PoQRF4WPDGxzKScajAl31cEKidUae58m8HxQ8vMOFNQ5nHEpqnHUc3PuQwdYW3cE21ll2dnbZHw3JBgOclMxGEySQKUWpM3SuatI3lt0FpS5dG2tPGmsRzlFWlT/0TvdwWRew2NmYsphSH8AcZGgbPBiR/kBo76CkKGdTptUIawxKQH+wRTkbMz59iqsKhDNeXu32fB+xU84OHrL16rvYYoZUEqX8oXQLo7w+GBfyrV2MnWGKElGVSJ3hnEzGhsUtSItu4bN1ya9B3Fy3m67bn5fKzY17Vo25JjG87JlVBqvnZTR+aZAsai4wraPRGcfDE37l1i0vzzVXPmtxxvDRj37ID7715xwf7GOqGZ1ej+l06g9VdtafmaM0Jhw6fnZasMUuOlM4YzBVgTXGOwHlmv5Wj07XHz6XZVmrHpJ6k0kpEQ6/a0BqjDU4Z0LIM+M9GfE6phSCoizJOx3OhsN5XwmKUlX6cIoWgg5swDmUVD5dHFknp5N36A+2uPPOu/zWv/3v8OMf/oAPfvQt3v/BD/mVv/k3eeuddxFI8q4IB+N643Ov0+Xx4/s+tM1kSm9rLps3jaltaPZta71e7vDhubwh26GyHGN9WEuZ3I+w9VwUWQOB8CQQ3gDddpDtuoTwi4qfu/H8TFgc3/XVBT3F/+12urzxxutsDwaYsuKjjz7m/sOHfOPb3+J/9h/+L+j1B0F3tDgrsGVBMZ2ipNdJr127hidQHU/2Dzg6ekonGFCMMZSVdwqMMlFV+tCFVVVSFiVZbsKhlL6/t3dDV+fhy572axtCzMQ6xvo3636+j9dreZAT0ti8zbWj+Ze6LP5rMwzDYtnnxHIsQ/QKXnwv899i3ilRm6YdZRcfMcDvLKzL63zYiRhRQCldG8zm7/+8AehcHZPypTp68wC6VM6Pc0x6OF/bobDxuTSduDM4OtSti0vHHG4WvioLRicnPu7Qtet88IMfc/L0hKooMVWFzjR5Z8zZ8IytrS26/Q7j4QlPn+xz7eZt3v3ql/nw/ffRJ8MQOzinmE6pygKrNJX1aexeuUIxnTIdjnxDhgNLyrL0xLA1dZlEHScsuPyLuUeCQCCs9zjEOq9w4sBGq4qtD50zxg8qW5m6QxjrFzJjfRxia+ILnLeJkPP4IB/dvcsb732BPG8hEgUIJ8h7fT731a+iOznf+fofhTwKv/hW4RAuW86DTIc4LqaqmDlHlmlfltiRUy/I0KmUknXnEAJUIJGVFFTMtwRmWY6xJggB4cCe2sUfZpMJ5XRM3h0Eod4Pzkgow3pB/NO/5xTB5v2RgIttto4Knyj89ftpGxc1Z+ySS2IewiKw0M0cRdg66VbU80XCsglq4XfhD1ZztmB2/Ijp4UNOHt5jcnTgt3/itzgILXHFDKTfcirVkOz0lPL0Kf3rr3H1zntsXb/Fkx/9OWeHT5iOJn5XgDFMphOEFGTG0MGFk5ZznFg8eMg5hw1GFm8RjVZRi5CKbqfjJ8hky5uxjizv0t/epbdzFd3pMXp4l9nJkMlojJCC3b1dcDaEj8jrbSRZntWfiVv2RDgJOoY4aDaa84fjyUg8hXul8AYiYedGqpqwFd6LH+tqT8yyKDh5sk9ZGq6+YkAK+lohO9veCBE9N5cYXVa95zbB9TKk1qrv6QmuqxDrnmUZV65c+akTPHGeWltzfwHQnFPj51SgmO9isGANzpScHh7wzT/8Qx7f/4RiPKYs/Lbr4XBEYaqFA7+stWjlz1mvjMVu9fn67/0L7n30AX/r3/otjo9PeOudd5F5hpUixE/z5FCcouOWcufCHJk0cbTlnBeAggG29iL01HBKvcQx5LXcCmM9SeRMxf1P7vHx+3eRCHpbffb29kA4sk6Hqzdv0en1A3Gl5rRybQwT9fy/zrqSCrfPolBdRL4uU4Avk99ly5X2pZ+EwXMVoZ3ODU1vjGXPvNiYnxjeRHpNOENlSjrdPuX4jB9844+pygm3X3+V/tZWvUWcGC5FzON/Mp2y/+SAK9euc/XGjflaI3V9byQutVb0ej2OnjyhqCqK0RlVUdIZbKG15urN25wc7XM2GqKlYDIakXe76G4f6yzx/A5vD/VrWDTwRIO5jaFrnD/LoixmgCTr9cJh0gZXlZRFAcy3O/p054Y7rRU4gzAzZiN/9oEEZqV3PqmKApxFZYo863gvn7ADRghJNTrFlRN/ajzzeYngLFAUJUqr4MHl35VSHXS3g60KiulZkG+iQXcuRC6M43PrpM/HJT81Fb11sGocP6+wS2nZ2vK/6NnPwpj0oiHY/ucQ4KyjLAt+9a//uj9Do15H5jcZU/J0f58ffvfbjJ4ecnZyTFEV6LMRSiicqdCZorQVInN0e13GozGz2ZTxowk7O9tBzytrY2i322WwNUApRSd6Dye63lLvsaAXejncYmxJVRmc9XKQ13L8vzzLKMPO2Rhr0znHdOp1gMp44inqwf55g1AKJwRl5UNR7A76vHLzCv+f//T/STWe8MUvvsege4VrV67OjciCMGBkMKRlvHLnDtPRiCePH3O9k5FLydzAfH5taMoTiySUJMvyEAoAf4C08mllec5sNsW6eeiM+vwQY2v5w48zWbdTJJB+2v1+1doYcZEM/7OMJl91WZxvq7SfnZ/b5+EFBHnewTi4desWk9MzZtOCw6dH9He3ybQOjoTeOerk8JCjJ/sc7j9h//E+21s7DLa3vRGmqHh8/wHGGPJBj2lRkPUyqrJEa0VZljjn6Gi/RnnHRhN2yocdD0v0v6azQdpuMA9T0Pb8KiNlTDOOkdSxMZU1Y5u1HWC6rIw1uSv8DkLnQni4YJCNE5mM6eFFpsjJxedTr9s4T6bxe5sH+KXvOP2taShaNibbdLeUQG+2T1v7xvu9bKQX2rGZt9a63t2engtzGTyz5zDBu7OaTjg7OODhg4ecnA4Znw6RQvL05NhvsRaSLM/Z3tlmfDYiyzS9fp+d7R0Oi/sU1rJ3/RqvvP4ajx88Qj9+gpn47eiTsmB3q0+v3+fgyROuX7+JtfuMT4eAqw9SqgLL7z12Dd6K6z354ngWJNZA5+P2gj88zoaF07ngVh5/Dx3PGoOtKkxVBcLYS36eRLZ1uoJAsEp/YqzINLdu3669BZvtJ5wLm8VBas3bX/wiQim++Qe/j7OH3tIrMmxZ4azDWIOVBqU1DunJJwFFUZBpRSdXuCALWGuQUtfKdxpvxgvzgRQPmr2f2Byz6STEHlZ1aI2yNHRs2OrufEys3m4Q4h0Ya7w3dgsREOsa+/pFFteYRqAMkvS8V4mSasHTK94b54b0WsoHu6QfxA+2cWMU5l1yX/oZvHJiBY2rLz7WWST9+4DZeMT46SNOH93j5PF9TFWQd7vem0/nKHxQfmsNhTW4cspsNmU6HWGKCbOzp+y9/jnufPWvc/DB9xk+usdweEoxGWOcpSgKpBRUhd+KZkqBky7EU5QLk5mfvCH2IQfkeR5isomFE41lp0+n16O3t4fubVFVFWdHTyhGI6bjMVnmA/bnnYxut+fHeFBCRTjlGSlxUuGcrbfsLSivbt5W1obDI4MBwYdzcVjhRV9rjLc0Ou9dIYSsva6U9ofySSlRUjAZjTk72keEg9Gl0vSvdJDdfC6c8mzK4DKL4rpEU1t66yqmkTCInyWLystPT1h9WQLCeLS1U/o+/e/B285ZhDU8vPcRP/zOtzg+eMJ4OKScTqkqw9nZmGlRILXE2KoOf2KsIdeZj/dZlBRVgRXw2u1f5ff+2T9mMp1x/6MPuP36G9y49Qo7e7vocBiHtY5ZUdDr93FInNCtM2Sb9wDO4KyhnE3odLq+r9ckcsOj1Rh/KKazDE9P+OjD93lw7x6Z1GAck7MTnjy4F0gmicwytnZ3efXOG9x65TZ5z69jFuF3BogQ3sbNd9s0BdFP209XCYzpb8uU3YsEzWdVgFaV5yeC2kaz3u4BaBeaX3gsUb5gLkVYU3rPNKE4evARh/c/ZHerR7ffR2mNyrQ/rdxU4LycWxRFCHsG1/f20FphypKs28GZ+RgTQHRjVUp7j8M8p9/vcfrkPp1un2q2S9Xvo7PMxzYWNzh6+BARDoF1wUPQH26FNyIbTy6lipNXxvx2dmcKqlmBKUuEVqhOB60Us+mYYjZhOhkFJwV/WLTyE4n35pMKJTXT8RliNERkGRq/S7AsZvUhfN1eDyeVVwYDqaO1325vp0OKs6f09m5Ti2zJq/AKVmynqCP4cGky65BZQ1mUSJmdP++ipR+Khe/1ZBKvRjosSaUhbC5Jf/lvSx5eExcZLNZ95rLzxqclbX6yCB6jiZEfZ5mMTvje977Hl776i/6sGxXWqvo5x2wy5rvf+DPOnj7lyf4+k9HIH/zYVVjnPf9s5UPOVGXBDOh2On7XrSk5OnjCYGuAVgotBVJJOp2O95DPcvLcOzfo4Jwgg2HGkyDBgCAFzhm/j8h5rzNrvJehdcFBwVmqovD6rXVYBDocYunyHJVl4ErAUZQlpalQTnudT4JWWX1eTbfTYSxHSCXJOhnf+/a3mIwnYAwPHj9iLKh3eHrjrA+BiIgHUkmEyOkPFK+8pnn86CE3b72C1pknkIOHcTRIhab2creLjl4+7SwcgF3HAhRz/c4FBbXb7VLMprXXdEjO/3XeecrvOvJD2Tnv0DInmNo9GtfqWSuMM21yQfrM80aablNeWYeEflmxbB5qravznqPxSyq3pKEDnHPB09/LmG+89RZnZyOGoyGff++9ut9XZcXkdMjv/MN/yH/9n//nlNMZf//v/zavvf46e9evY8oZRVEwORujhKSsSjLt1xAV1i7w626n06nnAynTGOGc65LL5K2mTtckPZeRlxFNErIZz7ctrziOmuEOUq4q5rdgYEV4WSGJs6ukwop5rOCaOA4GqPpskiSsROock+Y3P9/LLNwX9dkmyZ22TbOdzpV9ifzeLFsdujQpW/QC9gYsU1+DxZjDccdINNY/y5r7bOSwC6KOs1RVQVkVlGXB2XDIyckx05m37FtrvLWyKqiqwscbU4piVnA2GtHv9xkMBphHFTvXr/H2229zcvUq9+99zF7eodPrMhtPuP/xPZSQPH74iF63Q7fXoyhmtYt1JDbrwNUuWgecX4AT8jce+mCsqYNge+IxWlxcPelbazHhwDkbSKqaEK5f3LzhTdgmJIXGCehsbfH2u+81Ok7SjlFw9z0DJwVvvPsuDsfv/eN/RNZxWDf1iq6RmKoE68DMywdQVZbZrCTPJUp1UQtus3NBMnYO3+n8dpt4PQ4EGxlSKetD+LIsxzrnvUZjzDriFjoXDkug3mJI7Qk27zCh9vMrjcmmDbEWfh0XKJFawRfvFMETMFrwo0Lk/y5XPCPRH5UoLzS4+pm0JQWx3y9N8qXCgrEgKDQCy+T4kNHhPgePHvjYwt0uUiuUkL5vW4OQnlRC+EMli6KkKCpMZegXM5yZUt5+h1e+/DVkJ8fe+wBpLOPZhKq0VMohhcXYgq70Hn02WPjmBgxvwJFSIVWGEyboWg6pFJ1eDxXi8ehOTqe3hVM52WCX7Zt3ON2/y2Q0pCimCOE97JECnXeQWuOEjwGstPaeEDLEHgYQcxIzol4sHV6QLguqoKwDCyEWhBB1/KQYcgUR+m1jATbWgVJ+a//pCTrrIrUOsZN74YR41vJsbKIp2K1L6H7WELU2Pr/2vMni5oK/kP8zEu0/LTTr0BRigDrGpzMVo+OnfPOP/pCzowOGwzFHh0fkWjEZT5kVBlD0uz0ODw/DOuKoKsNMzJBasb2VcTYaceuVVzg+OGB0ckS30+XowSecHh5wt9vn6tWr9Hs9dJZRWEPW6fD2O++Q97cBFXbVhGiNLm7XjMJbstPFluw/fsTk7JQ7r79B3u0BBlvHcBT11lBhLdOzMT/43l/w0Y9/hCmmaCk4Ky15ltHpdj3hbU29ZfT04AmPPvqYG7du8e6XvszO3lXy/paf96XEWX8wRdPoGNv5effJi9AUjH8S+CwNNa3KL47ZZEYn7ABZVwF+2chhAefkhUWDgw+/UBUlea+PK2ecPPgIW87ob9+g0+uR5X4LuXMWWcwwwePWVMYbIIX3fDPljLNTw4664kNHhBANziVTrRKITHPjlVfAWmbTMcaU2LNjXOXDWiihEAoGgx7HB09A4M/4qA95FP6MFzfvq7Us5yzWVjhbYsoJ5XSKqSq6gy3QCoTFFBMmo1Osqeh0B6gsQ/jgrDgb5DepgsfvmNnwDK01VSiHEIK80wEpkToj9SpEKYTMcIAShsnhI/LBFXTewTmLKabe41kIpM5BZbhwCr30oizWBccNneNmY3Ad4HzYAIjrt9cHmk4g9VkYIk4r4YKjVtpdfVmc6yOrsG588GXrxjr3Pkv6n/VzP3mkcTOjEm85eXrEq7dv0+n2G0rdfHybsmB8csLJ0RGT0YiyLMkzbzT1fcWhtUIpr6s6fPzRwaDPZDxGa1mvk9Z54rjX73lCIDgu1CHRSNZ/z2IGstOFw5T8Tp+qLCiLgjLIrdWsoCwrzs6GlMUMqXMMCoE/F0QoicxztM68g1Qgmgm7t51zFJXXw52QDE9OKWYzfwBmnmNngtuvXOHq9evsXL/B3/7t32Z77ypIFQhrP0683mipvZuEotPpo7MO09GIra1tnCLsVvK7f2NdnYMqzk0hXyXl4nsRc0NKHMXxW6fbxYSDtk3lQ2PUDg0yGnkC+RWeE2GXoat3BzJnnmlfT9uItovGYxtJ9lnJBuuW52cdqwhQGSwM0ZM/3qfqGL1mHhpRynBwnGJnd5fZdBYMn373t3U+pNK//Of/PW/deR0HPDnY582338CWM8pi5o2yxvj+jPMHpAu/A6Dby4kHn129etWvZ2nZncPbeGTNVYUahjpGp6c5iXn+9abXIl+U9oU5SS5lbLPAJQhQyjs2+fRNjDxVt3Mkh8vSTyhKLYZ9imWTUvmQrc47bppQP0EYo8JRmTLx3vb6DIBUEmcFVQjbk9e7i+ZkfvQITnfP1eePBZ4t7tSaH9LpYzan/aQZJiLmE0NVxLPD0kOD0zGVemunxG+8T2u9EM4x5dCaB9GlXs7/f/b++9myLMvvwz7bHHPNc/nSVVWX6a6qrp7p6THdGHgEOeBoKBpJCJL6RQqFIgSKwR8Z+mOk0A8MOfI3BSlSAAgOQA4pmBkAM42x3TNdpstnZmXms/fe47bRD2vvc897+dJVG3QS2FGv8r17zz33nH22Weu7vuu7piziZ23PDQ5vAbUIyjMMXXq4A6vVivO1aGgSI3l9DsHRdWGsutcPPWVV45xjvVqxWC5TavVDlDXcfvllQowc33/A2fERRkFdFugIfdfRDj1D12KSBqd3npxxF4JE+3LV5jBu7CE9MBm8wgDeCtKHsH0vL/rOuaQ1HHE+4kc0P44RpNwfIaQKlLLFY6zlja9/g/ly+YjDeXXHJqPbGF5/6y3O//Jf5vf+x3+ANTZFRSEoAePw2ygrwDAErPa07SCF6Ww5pvdK22rOjEBgkFOptBnnieODRylNP/jk1msCMCsKlns7GGMoyxrlk97jONNl45YiCjl5N71BTjvUxMnYfFxEcmKHgcSVeWonXlrH1eW/rz7skc9MvzsD01vjfvt6Pv/lYng/q+3yRndxA0yLewTXNah+xfr4Ac35GWVVCbM2m1JpkzLIAqqNQhUa76XwTrPeSEpWVMB7KFtx+Po36M+OiEOPi2GUghEmusH0jrLUhKDAe3Sqip6dqBwcEGZSYjpGYUEVZYWdLbDzJUU9p1oeUu/ekDG8OsO1omOeF9Z833mh1sbI5jFx2K8CK6Y/3jv6doN3Az5sU1CmUcYLxhzbhTs4L2uiv5iOkhf7oWvpN+d0q5pufUq5uIY2NnXH1cbZVRHeq9qXMSqvYhT8uIxEdWli/TRYES9ie+SZZQdBifSKOFhisAY/cO/Dj/nuP/5tTo+O2KzWnJydcXp2Ljr+PgX87FbaRMWJIIWPdH1H8JFqVlPPl7z/3g/ZWcwx2rCYCzvfGEN0Ha4HUoGLIUohm3I2xweXdPoYJ7EQeCQjRyM/7WbNwy/usDo5Yuhb7heK269+lWgsKqiR2RRDoFlvePf73+fDd9/l/v37FEZY98RAt2nR2lDXFdoYnHdSbDLt8XVRcO/Tj3lw5w7znR2u3XyJl7/yKgfXb1DNFwJ+mal+mLiB27GTgohkwDsf85zP7hmP+2myda7aGx533ZfXxWe9zstrhkKN+riXKz3/T6ltXcjHN6WQAKU2dM2K5vxUWLF1LemQ1lLUFRAJ1jJoPco85VoZMYq2r1WKYbNBzebEJIt0EVyAoq4pbElwA7oUZ8M5hxtaXN+MToV3EvAJUYKx4hdfgDkvOCdbUzDgB9E+HIYBW1dU8znKlhAiQ9swtA3W6HEMxCj1BpSyecPHlAVFVeG6ThxbrdFGyz5uDLoQDXRtpM6FsYZAzj6Sc8S+4fzz97BFjQo9buhEripGynqH2f51VFmjTUXEwKhzLprnpigJscdETYzbgtbTYKs1RqSorny2KnsU2wGRnoP8Mn7Zc7dnmadXAVQ/TmDpSef7aQe4fiJNRVDboEgk4voeNzgWiwXz+XzCCN/aYLJfNdy/f5/z0zM2mw3VrMaWBbN5jbVFYgCLdMo46KJk04W058UoclxlUVDXNVpLUUd9gYggflfOJNVJV1ehcIMQKiISABkGxzD0eO9wg6NvhZ3oXGC9bmi6U5Z71zBFRde3oCKhaTBlxfnRMbO6Iiglsm6JsUgClTZNS5+IYUPX0bcdi/mC2XIHXc34q7/2b7C3d012/ridD1LWLjP8ggBtKBSGg/1rfPrhhxS2SnrsYZSxyj7Y2XoNxnDt8IaA5hm8Ql9w/OKkwsy286RvtLEoLWuQcw4fpTYRMfuvUmNDKShUkT9KVEJiGe2BCUD8pHZ5H83sysftrz+N9mVtlRepPW29kn+36/OTAtdTf2j0HfVWc1+CsrKXlrbg9ksv8drrrwswnCRK/5u/9bdZLuYsq4puGPidf/o7HNy+xf/pP/lPmNUVJbA7n9GuzsRmHoFV6NqO+WLGbDajrmui0oRcYDJGbNqvjRagdqs5GwlBYczFuZCJk1fd68VtJF6Qj7t4fMaaclAtA6ik/VPa1ObL0jiZdJnxIlLgRxsDMRB8In2mGim5JlYmNgIjyJyvWQrpitWembRlWV5g015g/8IFENVojUk2lHOScZFB6Sx/N7WBpvvuFPy+DARP5/ujmdJbTOEyibLruseuHVNJuBjjqLE87ednqRGU23NqDk8WBulFuqah3WxYnZ2zWq9lQwuRqrAYu0WtY0wRUDfQugE/OIZOClMNztFsGilct9zhzgcfsV6v8c5RzSvqusI7h0KL1qCxbHygdYNskgnV8wlwIcYUvYkJHL44CbbofAaxIMYtg1I6VtJowshfJIGnQXSLUElmwo/nlM0jLQaLHd755rcEAHtsf04fMttNRRu++cvfZl7P+Ue/+ZvELjJET/SyajkfMFEmqELhoqPXCtMrun5IYJ4GkwGl7eAQw0Uc3cyCDj7gXaDvetGTUhJ1cU4MC20NZWkhOHxwBN+xOXmYipJZirpG2YKolCxOMekej/0+XUjU5O9HU3nVCC6n1+LFznl0cX90ob/c39l5evQBXHgY43fl7475wSRnJS9Ylx7io+f9GWyX58B0Q0uTmfX5AxSBrm/xbsAYjTFSUdmgknaXJQYNGNQw4LwjxqRx471ocQ8Dm/UZWI397H3m8yXX3/oW/eq3KZqWwQ0QA23TUh3eoA0DyjlsHguKMSKXH4uxFms9ZSEbQd91nIVTdmPEzPZYHH6F+e4hqihlk2wbQtcA2TljZItu1zA1/lweV9I328hq+oA44V1H37VpYY/49PlhGDDG4Jy7II+hlCLkjcD7iYN4MTXJOUf0Dt+3DM2a9ckRs71b2KJKm0WCpaYRFqaR1pCM3eTIxMfNmek9Ph6QedFZBFeN+XHDHWlbP/vt0X5WxKgI0ROVZLuoqHFdwwc/+FP+5J/9Hu3Zmq5puXvvATEm3fooxWastcxmFQDzxZwQAk0rjDq8R0fwPmJMwd17X7Czu4vzEWUKIgLQGGskaIlQ7oLLBRg1wQdgQCH7kFJCF/DBAQG8Z7NZcXp8TLM+J7qe6Dqa1SkfnJ5gqjn7129TakW3aXj44AF/9r3vce/OXY7u3xdDMXi65JT3vRSjM1qP7D0xAwLWCsi2XjcoJVpwru9Zn59z99NPWOzt8/Jrr/PGW2+hVSVKx0oTyGt+zjq6EMW4EPp8/HO62J42Z54WiPmyzuKzBI6edC1ftl2+9suvX9Y3ftz1Xb7+F9k5nTZxHtO9+YH1yQoFDIFU7CSliye5pag0VsvrfQIsxDlCClwpBSHiB4cvnTBf0waaMQsJsEZ0YYSxWxYY7ylDAB9SrZBe7OyiYH9+HV1Uo12W2YkhOZIC7G4ll4LviE7OgfOgNMaWBGUojWHoOnzX4rtWHK+UMaMTAykGl0IvUYpQ1xW2MOO9aSXrj7KFaDkrQEk/eUCrNE60QuDdgGrOCf1m3IuNAh0DfnXM+fkxPjiGoGXdufkqxWJ3LF5XVrsM/TrZeZftg0fn68XxGy/9e+Uo2P6jHnPo5PXRXJv4YlcJJH2ZtehxgPLT7IAv897Puu2wbdvnnvvZWCtF0121fT1uH5LstYHzzYqz1TkPjo/QKjC3c2bzGfW8pq5mKQgjOuDZj8xrYl1XIwlCJ+af0pqqFmBZxneGJJMGZ/KbxO4UKUGi2AYRzdB7+q5PNqwQNKQGRokQFD2np+fcvX/MwcE+i/kCZS2t71mYgodHR+zv7oJSdJtWimQmJqDWij5lNNRVRdf22BRsLYuCP/8X/wL7B/usz1fMl3MhZMRIP/T0Tctmc85yd8l8sUtUBRlorWdLbr/6KmdnpxACzXpFYS3OO+rZDB8DRV1z/eB68jeV/HdxukobbfkpkDMJdimRdyy0Yeh7ghOsQcAnl0D4VAshTDWHt5rNj3qfTxldl+bcZZApv/Y8wO2zzP183uedhy+C3Z/bs97f1XbKk/t7jG2kX7ZyAGFyLo2ymn7d0LYdzjmqshzJQp/ducNyZ4f/8P/4N/n0gw84Oj1l78Y1/rv/7jepy4K/8J1f5Y3XXyP0PYUi4TricxYpk8h7z2q14uTkhNl8ia1mcj3q0YJll4HIKWh58d4f7ZfL/TqVP7iqn696b3pMBnWn57RJs3wEayds3i1YHMfOn4K7U4A0A7kX5pJSFwDXDChn5jWI/221HhGqC6xb71FAlfwLay0Byfh4mh2Qf59+/7R/p+/n4/NrGdCfAsb5uquqGtUTpiD39PjL1/I8tvNzgcOj8lLwwhgNCtcPdE1L17T4wUGI1GWJtRKxyGw9nzo4F3aLweMGATuUkoJVXdcyNK1UOq1nuMLR9h31bMbgHChFUVasm4ZNN0CEyvkUuRPjVas4Gq4yUbfMFJhGLPImqtMxcSIpkSUqthISY/VC2PKGpqCSEqZDGDxYwytvvsVyd280mp++Rqn8n/zYgq/+3M8xuIHf/vt/D+0DRim6Qe5bxTRoldzr4BzWabreUZYT2rtRSX9Y7nG7nwlYP7hAP3j6Ybhw/84lUXNtWS7m7OzNWczn1FXBw88/oSwsQ4CqnlHaAlPNWV6/QVmJBhwoQtxOtG27CIg/q7N8+dNP2qQeF+m7fKIRmH7C5/+n2i4Ak2Lt0K3PWB4cEqLBDX1SWYh4P1DNBKA0aVEP3qFNpNCGfhjQVmODJg5p7LRgzJqVesDwwZ9w6+1foNy7TtGsKXxP3wyoGFg/vMdsOceGJIaihBE5gp5R0tVQwhjyzuOGgb5pURFWZ2dEU6L0B7jNOXsvfRVVzIjRCQ7lJmL4k6iuNkbSSRXJAN+Okymoq1I2gGwuijB4hq5j6CUqF9WlwEtalHOWRFJHGjeZy4Dw5bGqtSW4iIqR0DW45hRTzqCUeSXXIsCXqOGFrd+qoqzLShiXV21EV42Dp7WfNCDz0zI4p4aBenRh+plulw0dhUbHxFYfej766GM+/MG73P/sM2LnOD89HQMZLvRiWCqoq4L5fM7u7pJu3bBYzAEpyNg7R3CeTdMKYLxeMzjRB5+VxVhNvW979EyAWGU0g3OEAPs7S4rC0rYblJaovtZG9tcYITiOHnzBwwcPUMGn7B8BjevCcvP6Ter5ktD1fPzuD/j0wx9y/949zk/PiD7QdQIHd11HXVfcu3sPW1jc4KirirPVCmOMaPAXooOo0FSVpMUaYzg8PMT7gOk6hr5ns1lxdnLEF59/yts/9w2uXb8hsjNaEZQAxfFyUPPCXz+d9mjg6ss5oU977Uc9Z27Tufa496Z/X/X74z53lbPxM930RLLqqhYhhoHu/AH7L3+Ng9tf4fM/+xMBdpRK+rsFjmSv2pJyNkelStmu7+V1LYVLvUp2dYoUqoRb5X1oarPaosLYpM0XwRaOEByQgVgrP1qhgmebF5r5sAalDDEqCRV5R3ADyntUCBhbolSJtVnWocH3HYqANmWyvRLzLgTQ03XOUM0WSWeZdEeyjyttRwMuB7/G0aDEsUTrUWIi75fZ1o/Bo4Osnb5r6dfn9F2LOz+iOHyZ6698FW0q2fdVLgb4qCYjl/p0Oz7jBcjosQ9ebX8f623EbDVAokGOjnx+ZxxK2Xx73DdcAWI/bd7/OPb6fI5p4aEXucX0v0wasLZgb3c32avJ5kJJJo933P/8U/757/w2O8sFH/cdO/M5O8sdFotFqpeBBGODIviY2HPZjgRdlWhr6doOpUTX1xojxxlFUch+LjUqBJTK10ia/zEIEcHHINJPfccw9LiulQzb0lKYAicTn8o53r79Kj/88GO66AHFG6+9wWq14u6nH1NV9Zhd40OgHXqUEsEVCQo7NEJQKktL1DN0UVJXJevzU/74938Xaypa1/HOO9/g808+5c4nH2GA9eqEmy+9xDu/+B2Wh9fBFKgg4Z3d3T1miyXB9fz+735IcB0//0vfYbG3DzGIDE6UNWhEq+PFZxcnf4xc/klwRY0PWY1FowMihaVQKGOlX8MkaythEjFuC2A9L+Hgabb1j3OP+1GCyy8SKPwvoo2A6yVcwWiNcwMPHz7kzp07fPLxJ7z6+qtoo/ntf/gP6dYN33rn67zx1/812q7jw7ufUy1n/PwvfIPf/Lt/m52y5JvvvIPVoBLzvShKSmuYz2u6RFI6PzvH2BKbgk4ZJB1lUy8EM7ZtuoddLmb5tHvNvz9uH3waDjMFNJWSfW0s2A6jFEOMccQRM/FKK5GaG7oeldm9E5vHJCmL6RaciVtS80hfkInIuICPshbnIJ1LBNDcP8452ralrmtm88WII17VB+OefalPpj755X+nWsfAeN9TYH82m4ndl5jBufba5e+7nI0wLfz3LO35ZCVGgySPfgEbh1S8zfUd1hrm8xkENz5krTVZjSt3tnOeIRV/a5sBrQ2uKPDDgKtnDK6nKEuKoqBrW4iRo+OHaG3ouwGlNF3bEmcVWsng0EkzdBh8MqQY8/6nD2Aa8VNKqPoxSEptjPkYSf32XjRBQxBtVR/EYRyGPmk5MQ4YpQxFWVPNF3z9534upeB/eSdSGcPXf+EX+OzTT3nvD/9QhP+LgB88vXP4ECgLhbWyJw7OMfQG7wLOeDCM4uRZRzk9NmF9RUU/BNpuwLms+5I1aKQoli1KZrMZ8/lcItydI0bNeRdZ7h+wc7DP0WefcPb5Z5gvPue117/KfO8axlZbyYnxhmLat3O6cR5SE8f7aZvQFZGZ6cR83q1PyWW9UEDRj6NNtUoVEJAgydD31MtdIDEanGNnuZ+MUlk0Q5QiEkYVBO8xSc8oGkMIosc7dB2NUjIHzAOOPn6P66+/zdCuReMwGnzfYxUiN4EUmJOicDmSZi5oAjExoAfnBYA1hs3ZiRim0WPLivnNN8SYKwt82Dpsj2yEE5AhTuayTZVfRctIjdrkEvCQRRmEPZWXkukmN42qAmPRyZg2nrzZ5M/lhT1GKYipanndWEsIjmZzRqUS04uY+j85jX6gbQU0K4sSU1Siz2yK8TsvM++m7Umg8VUA9pdtV0VUn7d92QjoVddwFdvqZ71t9zBkw4oe12z4wff/hA9/+AG689zYP+Cj9z+g2aw4PT1l6Pu0BxqqqmI2m7Gzs0NpLbuLxZj+NviBfnCs1xtQwoJHZaZ8ShftB+yOSYZZSMUOxLFaLhcE7/j4ww/ovSd6YRNVpegkFkXBw/v3GboGBSxmM9qupe07ur7nXtNAjJRlzYOjU5pNi+tb3NBDBNcP4D1N19F2LQ++aGiaDVla6ZzIbDZLBa4izvV0XY/3sFqtKcuSuq6laF5dsbsjTvp8ucQRuffJitXpMdeu3+T2Ky9x/aWXqOZzTGFBGUIQJzCzFEVf/4o01Z/SGHjedtnI/km3qSF8FbPkglZ2jM8MHj1pLftZbM8GykeUNtQ7e6AM7WbNyJCJcUwvz9kjOmooylH6QWuNjxLg1AlMHrNlLq+ZcWoHTvUCUyVUa0UySmVnIoHOihGAjTHiSSmewaOJqAQOxQQOZ2ZdTuNUBoa+w3c9Q9uJ42xTEdh8LWRbLO//GnRFUdRpjxbtOAFjzNh3MUzHmTD7VArqxLRvq3T9IQW4CI4QPK5rpbCe6ymLgsJq9NDQr8+od6+DSnqwUcDyqB4dz5ef5+MCOU/aU6fz5CoyxdRxl/b8Y/9pgZXn3e8vg02PCwRd9f0/yWDzj7NdvM7t724Y+ODd9/jFX70+6tLmd70b+P4f/AGbkxPufPopLmkNz5IcE0iqdJHSqbXWQlwwCmsLSdnOgHOam0aJhFLO5tPmYrHkyEUbVIIakjk7+ICpDcfHR7hOZCSq5S7LnX1877l39JD33/+Q/8N//B8TouLXFjvMlwuRlAmR3/pv/y4nd78AhLjgfcBYw9D2KOcprRm1wIuiwEcBaAttWdRzlnXN+YN77FzbZ/+lQ744avm93/ltfNszqyxEYRd/cecuQf0R3/4rfxmrbCKOpWXJWEIIfPL+D7G+5/XX3mSxc5CkahAJHQXeO6L3qVD1RCdcbdcYOWnA9Q1+GOjalqqeU1YzlBaZOWUMJugRXMr7ldJCdPNJSsunTCxUrjGSg1CPArFP+/tyexby09M+Pz32WfVGHw10vUCB2Em7CuR80rqXP/OkW9XItrwNRKpU2FG+xyjF0PecnJzSNB3nJ8f0m4YHDx5w48Z1XnrpJWKE7373uxzs7TO/eRutNXt7u+xZw/Jwj88++5iT42PaZs13/+E/4JUbNzi4to8jUFiLTzZ38AIGFkWR/PO0R4wZDI/2g5qsKdP7vswivtg/V/frVXbd9LUpk/WqAOX09RGvu7SfxBi3gPAo1xFRkwJxgh5dZNvmQmwkm9clGY/p/tN1HdbaESw2SUc830e2mTOxq+/70Q6z1l5Yc6fX/Lh2WULtMmifv2eKIWSQOGshZ4C6H3rOTs+4cePGKAsGjPd9GYP4MvP4ucBhr80YuffjwAPnPc4NGAU+OJwfqIuC2WKBHwbKshxlF0DQ8LpWtG0nAHGijfthoPNejDZXoZoNRVnRD/2o96OVout61mfnzOuawlrKosBYMWidc5AlIhQQg7CAMkuYNOhSmg6JdRsTCwsmMhgytkQfNGRbPYs7x9Fo3D4UhTKGw1u3uPnSS9uOe8zzePyDEnUrrRTYgr/yr/8aD7/4guNPP6e2Ja0Thz8EPxYKiVicDwyDp+8dhTWSXp8KAU3BYYi44BmcFBJzzuO96KdEQipUJ5NtPp8xny8oihKCSE+cuIE33v4G9z+/y8d/9meUheW1d95mcB13Pv2Qw2bNzv4h5WwHdAFKnAs1hnGypkzug/z3NoX/S4NJ08k5CWLwiNF96fC4/a54xQExxgur5E+aTfmTatPFbHu/EvAo6xnO9VSLXVCSHl5UdVqYU2qnFjF9lBLHFLBpEQrGYSJoH1EhMXzbDm3X6C8+p5ztcu2rP4/vVhDOWQefUlAjQ2L1qL6nKBPbByWsK6XAaDQGWxQSsEmLe4iBKnhhKxmDrWvKnWsU9RxbzykKOxqYxInIfAyomKOl282sXu4mZ3EgImxhlaIlIeS5kdeQLXN4uhB77zNfGK0VPgqzQ0T1M8M4XKh8m3XbjTYjAKVsia3nBFPQuw5Lj+8aXN+KpvrQibPrPd47NsagtMVjWOyKlqrRhcSbEwsyF5LMYZTHOblXsfSeFgl+UrvKiMjfedV7P27w5ypA5kWcv9IkOKCC45MP3ufzD3/I7WuHPLhzj48//phVs+H0/AzvPWVhqeqSxWJOPZtxeO0ai+WSvuuwRhj5IY1F5z2r1Yb1asPZ+XmSb+kJvWMxX9A2LV3bYvRMHMx+oJrXxBDpN5I9hFbiYEWIMbDZnLM+jqPuGBE2TUPoB4IP9J2sEd2mRSvN+ckK1w+oYUD7QOwdXdfRtC1N09C0LW0neqsZ6BQmVkoZNxprZ6OR5Zyn63qc69g0A6Wv8H5gvV5TlAXL5Yq9vR2quqRtNpweH/Hg3h32rh1w/eYtbr30Eou9fXEWbQFYYkzA5mR4/ihz40dpjwOiLh8joMSjRvm0fZnrftJnHgW0rr7uy39fFcC6qr2481faNiSuwRRUiwN81+CbMymaogSIQE0cuZzGqDVgMUrs3pnWhOBFesFI8dhR6zZmmyaShL8v2kMZSE2apdn2CyGiTTqH0OaIpL0pMnrJoiMeiG4gBId3A9EP+BCYWYO2WdM/4L3Dux5rNLYok3zGpLp6dvW02AMokwBqlSQjJIVUC2VyHMtbvcStY8W4d8WtDRwj0fUSWOs6wtDTdw3ee+bLfYqyZjZfSvHjlJUXg5P700r6T2lBsVUmf4g8XVRy/lTSVuwHlcepHC92SGIVR7G9dISu7ymrSvKlRjP9MYHcZMxkUFDl0aS2c+JxoO30/Qt7sPT6I77Ktn8v2gsX5mu6j0fIGel55r7PdR5etFk73vsYZJCiRpumnR4F5GBqj2tbhvUGnOPGtWvs7e2NDK+yLKjqisIKk60oi6Q5rsZjZC8zKftGUxhJKY8xFUy6YtnNz0lrjeslAOODYvDQrdY06zWubTk9bziY7/Dnv/3n+Sf/+J/wr/+b/wv+5/MFe9cP2Z5Y9Ho1kV//t/8d/tJf/SscPXzAd//pP+OTD97HDT02QvQepwUDsNbSuwEfI2VV0zUdxhRyv2XJrCgpC8vh/j7NyTmnZ6ds8FS1BH+ssRwe7OHaDlvMQIlsTFRp3qF4/bXXOfnsY97/4z8kAtdfeZXSFlLHLkTOHzxgtTpjsbvH/vWbCQgWHzOTAnxw+HbD5z98j3Z9TkQRgsKWNS+//gbLfdnv9UjrmHZy6udEiLFGp+eSAOrHjJ8vs7f+qDbwVeDQs7bHka+mf7+I7VnA4ifdXgCUTutulGdvMqgaxe/rmpb79+5yfHTM5lxqcO3uLumGjqFrIZbszBdsZjPOzs7Yv30br62cPCjqck5UA9/6xW9xY3ePtmvRCqoEiGIMVT0nRk9RlNiioCgL2RNDkIyB4NBYghKZz3zfF0hhl56nDwOkNU7e22Izsrbkzkm2wcS+m+4RlwuxXT4mr1HZFx4B4uRn52xfay1VXdOsN3LdIVKWJX3XSYAq1SDwPhCcGwlsGVAehgHnPVVdIeoCGlsUo/+/Oj9jb39/CyRPx0S6phGQHQbc4CiSVjxBinkGLspV5HvVWo/1wiQ2pca1Y9ofF8DxETCeag6LDWKMJQRZY4ui4Ld+67f45JNP+A/+1/8+O8vdbZBRbYvP5b0jPxPvwwg2P0t7LnB4NELQ5NJrOZLpY8RoQ1XVzGa12K4RKV6moCzlQqcXJ06LT9V+U2pMjMShZ/CeiGYYhGlsjWVRztk0DSZ6lrOa2axiNiup5zVFoVAqEIIIVguoI5G+mIxIEkAzuAEVwVgFWqKAilxESn5C9IktnDR5U+eGEJM0xkBMLMKRmm4Kyqrma+98A1tW00577hbH/ylmyyV/7Tf+Z/wX/8//DOOEweASWC1REp2Ad4svUlq/D1DkFHnGKEXud+8ifddLldZktE8jGVpLsYGyLJnVMzF+gWazYXmwzx//3ndZ3XuACgPFrKJtG9q2xQ894a2WZrVivtxjttxhvjwAWwjrYtIhFxfmqyMbz7K5ScX5kE86ru5feludftcLvBFe1bTWdAlcKcsyGUwClNpyhuvX2GpBWVa0spoRo6RiKp0KXyhhOUQU0UE0kSJGYrCE6CTynjahru3Q1qC04fTuh7z883+eg1ffwb/7hzgi3SbNLx9wiQWllULntK7s7En4XsDhEERvNSpc3+Odp6xK1OqUxWaHzfkR+/WSsp5RWDGwOzckpu82GpCHSg54CSPD0vcdRhsieixSqNWWbZoX4XHxzhHMvPmFMVEtMZfTmhc8omcva0wMoumdAzc63V9RV+iiol7sUlQLiuUBUWtCt+Loiwc41zNb7jO4iPOAKpgfXGe2s0N3vmJzdsr56QPWm1PWZ+fMqpJ6Nme+e4CtKlQURrcUGcryHVeDM5c3/qe17PxePs8jx/0E5tWzGK/bgIi6OM9fpKaAONCsz7h/5w57yx1uXDuUsRFEiin3wKyqmM1rrl07oK5r5vM5ZVEk0EIK4VhlMYn9Yq2VuaTh/PycvhXdvfv37rG7t0ezaShLS10IQGyLgtIW6LBl1bi+R6X9vCjE6SV6ehfZNB1+cKzOzpnPF5ydnaMRsMf7QGlLNqfnbDZrnBc94dPTU2KEpm3o+k4cSWuZ1bXoHiolWUalsOUzI8CnoPVms8EWYtSdn52yXvfEKGDpZr2mbxt293axZclcG85Pjxm6hub8nJMvvmD3+iG3v/Iqy909TFmBtgkL0COwAs+2Vz33o35CEGXanjbmYzLqt4VEnjz/fhxg99QAnvbN4777Wb/nKgDsZ7U9DoQfrz0CaJyP4sQ1G0prRiNfmDHTY7Mtm6BfJTUhiqThGQZHZtNAmC7rjIH4BNplpy94NwInOUg+Xl4UIDiGvM9FAWzznpYAYrGTnfwEh/d9yrpzBCIGLSn0wTMMLdE5vA8JSJ3YfjHZc8lBy5kBI6CtLSl5P78I2kCYsp6SBmvan0cANTvOfiB6Txh6fN/i+m4MJutqhl3sYZd7gCEMDUN7IrroJEahLbF2hi4qgjJSsjkEvGuJSgr7qmQ/YEvUaEcEnO8Z+kbs7KEB7zDlHGUrdGmloB4JCBwLXV0Cc3PoPAHkKm6z/Z5nRlwI/uY+iozj4kmBpOnn8+fGMTQ5l+y0SoqMGQXjtf/sz93cxvvPk0Jpjo6PuXv3Hr84vif/U8Dp0THNag3OURlDOa+5tr+P9z6RFRKQr6CoipQtlwormgwES8vp4VYr3DAkSRW5lJFoABI0Smv70PdE70SKaYhQzjGFFI7r2g5jLG//3M9x9949dnb3uf3yVzg7W6VgkGQjWC0BEJXWIFvP6SL8u//+v8+Du3f4B3//N/n0/Q/QVYkbhlFqwhiDVgbvA9ViwctvfpVyXrNerdhXlvPTFfXOktWm5dqNW7z/g++j1Cl1UTKbz3n3+9/jdLXml371L2GqepRyjgDW8Po7X+fowR32DxZ89O4f8eCLO7z82hsU9YzKFrRnpwQ/UKXgWlo2yDU4XN9x//NPOLp3j+78VIrzBU/wQsb649/7p3z1m9/km9/+NnU1R5HYx1u3Aa0UVVXh3MDQbrBFiS6EqayukI67PI6m7z/Ntn4WgHi00Z8y+6/6rufZ53/chI2fRnsWMPhy25JT8t8ZE03jyUAMGSCOEARvInohSg4SdFTeowisNyvm84pZXRGJ9F3Hpz/8iHo+42tvf52yqhm8sIKV8vzSL36b/+Hv/be8dHjI6YMHXLtxSDf01KpAB6Aw+BgoyyJlxJWUVSnECKPRMYAbwBYwyTCYEjSn409+SPZsSHiZ4ClZJkO0twUTMykrdap3Oy10Ng1uXe7zKSCa50G+Fh/C6G8LdtDiVm78zHq9Zm9vb/T3UYm1rbcZQyEGqRMWAqaw+BhSfSDPzs4OqIRbas3B/h62KHHejzKQkDD6pDEsBBORtSqLAqM1Vmvc4IhGOihGWTenGQMmZTaFKHJdgXDh/kcG9OQZbLOIwdr8+jZ72lp5hoNz/JW/8lep62rEHq21I8Es+0ePBnY1Sl2s8/Gk9nyawyEQlU/aWMK07fqOQKq2DCmlrKAsK8pCFtbcwUpBUeSvjBhT473ckHOOEEZTKBWXCwytMIu97mmShqhRisV8RlladnaWzKoyGRtKZB+S4eu9ROUl0pejIx6PQscoDqyPxKgI+C2AqhBpBhfSwwg4H/AhJpatH9F5oZ6TdyBsVfHa195iC6X/aItpNtRvv/wKb37jHX74J99L95LYh0GNchCg6HvHUHkpWuc8llzIKsJ4j1LUru0Hun6g6/oROM6FD4wtmC8WzOcLYvAoXbJuO5r1hvbomLOTM4a2w0ePbtacPTgippT/d7/3Lrv7e9x65SUODg/RSlHvHICyFzawC5ODkEgtOdJ7sV3emL7MRvWsG8X01QufeAGc0ce16b0XRfFoipES0FMHR3t+hNbJ6UwpK8aYxFYS502lRT1YYfQqBdprtFeygE70fIa2AzRl2fD5977L7bd+gergBu7oHqFwDHEYo306RZWUUhhbiIOktkCeUmoiISOLeBgEkPb9wLDu6M9PCdeTgzae72JxzMfZUcPmfMveReaKGh3Ni3pB8nNR/D/GKBWMx0yD7Rd5L0Gb7cZp8N4xJIdea40tC8rZjOW168z2r2Fme2AKoutZnZ5yenTE3o2bnN79jPXRA3os5XyHh3fvcPrgLs3xA4zroSgo925x62tv44JldXbCJ+//KbbQzIqC2WKX+cENFjsHmEr0K58HBL48tr7sZy+3Jzmi0/efGCy6AiS+8vgXcD4LsBPQEdrzNcOmwQDv/ukPaDcNWskeHIOjqAxRBeq6YLmYSbCvMkQcg+uoypLBOcpS5pn3AW0Uy50FikhRWKwW+aZms0JrsEZhtRhKCmhWawazHTsxSlaKNhofQlo/dKryK9JHfddjtWF1eoqOWd8fhqGnazuaoWXTNWxWG7z3tO1mBGFv3jikdz1lWVNWJYvFMtkaUujDe4/ak/1/GAas1Ww2G7quY7NpKMuazaZhcC3eOfpe47yn7T3L5RLvZX3UUaPDGlzA+Y6+27Dcu8bLb3yVar5DZuHrFFjRCbJ6noDD48Dky0y/JwU9Lu+Jz7ov/rjm69O+I19Xbo+7hxfN6fzxtOwJIWCGNnTNirIuMYVl6HrwXqQa/CAgKFsG7LTLRjtqWuQvoaJXs6O2zyGnIWY90ekYGquuZweSNMS1IFRiRwRE9zeIs+QDfkjZeE72Z1V6lHcJRHWj7IT3HhVivrULbfudk+Brep2QGcQZ1rxK4zCPq+08C8GjFXRDRwgO53q0sVSLJaqsKXb2MYs9CQANLaHdEPsBA3i/YWgczlioltjZEooZUSm8k4ByiJ5hcwYhcPrgHmU9R1lh/RSFpR88tl6komLiC62PPqOs54RhB1vO0NUcTJE7enT6qqq6oo8mdsalvfFxc+1x83H8XT1boOuy0/84o2oKIucjnjXF/WehbeeDynwdPvjoI1559Q1iVJigyILRJsKNWy+BqVmtW8mcXc4o6hLjhXFcJJBBslwsJqWDa60oEpiTnLYUzJO+KxPrjbhlloWYpMqcHwGNGCSjrw+R3g2gOl5542t89sEHqHXDop7x3vff5Qfvf8C/9uu/jnMb/vk/+Ufs7O4y31ny2le/StM7To+OuPfZ56zOzvjk00/44v59/t2/8b/EGM3h9evc++QTeuexCRBWSEE3lbJ1y3rG8fERN8sb7O4safqOUmv+6//6v+JPv/d9fv2v/xq3bt7g/t07dH7A9S1DV1MUFccPvqBaLtERZsulFDwnstjd5aXXXsfGlmt7S4ahZXNyBEXJrJ6DNgTvMHWVslXZ2nnRcf/Op9z/7DN8s2FoGjZtQ4iKdrNhs1qxbjb8t//l/5s//u53+Y3/1b/H7a+8vpWFE9RKgjIojCnZ+A3etcyt6EhHpcZ0/3E6jZkfj2qxXjXWpu25fdwUjPlRgNyrbO0XIRB7uf0o17xdz7ZSoyHGkVQiJKAAwePdgFZib7bNmr7v2dnfZz5fSB0uBa++/jpVadFK8Qe//wecnZ1x86WXeOudryPohyEoxWyxRAH/+q/9db73+/8cYy1/+Ed/xN7ukm//yi9LNrgxlNZSFSVlVVHXNUVVobTBR7AqFXZL+3Nka5tLgKoYfeHt/ZKCTnmcTrO4SXhcOhawCWxWSkGWXFFqBFkzMHyZlXvZRp36DSYRw3wq2m5NQVGVgguYbYZjWVcXPjfWNUsgb/7eXHvEWpGjjIBNusMA3eDxsR9xv3zOLH2rk5axC0FygbTgAC5IFlEEhrCVvIBkL3ERJxj7+Api5GW2r2ADKplXkz5Xue8CdVWyGqQksQSp3AUpiXwdXdclnybXXYrAs++7z6c5rHSK9E8ZqF70B5NukoohbaHCKo4xgU7aysOdPAQ9IuMqHSufC+m8Ahw7iB4/BGIQS6guC7TRLJdz9pYLysIkxzAkVoOkuUAEn22mDBj7xGQQFkSmcMeJURySvIRKzKAQBRj2YVsZMQNDMUrqqgseow3znV0Ryn+8rfRsXX3B8heg6+d/6Zd474+/lyIlapy0slEJ4Dv4QD84nA9YHyYGvURM8kDs+4G262m7IZ1j+4ytLajrGVVVjwa5S2yvzXqN66Wogfei/RyDaFaGGDER2s1G0o+N4ezohPPzc26//gaLvRtoY9nCrxeNeTV5bbs4Kfq+Gxe0PO4utOlG+BRH9HlApsvvv4gbZG7T+52mXuR+leiXZTg/5uTOR7gAeueQ0K+JZP2/beqDBBo1CoOxmhgMSnVoLamoyqlxwe66Thi0KHZi4O5H73PjtbcZNmd4j8iVJHF1AYgtfT9QoDAZyM5zeCySI2kkTnlQgeA8wTnaZkPdN8KGMiVlIcZ4n4pZ5SZzgUeAZ5W0iFWeKzE7nzltPUXyYJzjeZPSxiTQnFRUT5zRmIMdKTUmxijMpbBN2dHGUM3m1HNhMM33DzGzXXRZE/xAvzrGbVYc3HyFB5/9kLsf/Bl91+I3GzRSUKyqa67v7+OcpBWtH3zCB3c+IJiKeu861196GT9E7j/8grI84UYIHN+/Qz3fYefaDarF/lidWQDxzIp8dDGLl+ZuBjpGFvSPAPZcyQxUF8NsVwG/VxnWT5yzLyggFSPEEDg7OZGUNh/o2o7zs3OaTQOI/m7bNiwXC4qiSEXZJIjTtm2SbhqSEZECgkUqPKU1OztLGdMRTmIk+IaubTk5Ppb11mgxSstyzDLJRkgksm6GZCzKGpML0QbnZG+P8r53js16DSBFafuOvuvo2k5kk7yjqkqMMcznc5Y7S7Q1zGaztC5JthJRWFHzVGAvErHWUBSWxWKR1qGe1WrNer2maRpOT08JIbJer3HO0bUdbduys7ODd57ieoEbHO26IYRI1w24EHj9zTcpZwuIWdtVJU3Wi4FFeDbnbhpceZxTd3mMPy0gcxVD6McBwP6o5/iXEwS+2ESSYfJMicS855iCspxhbCH7pnO4ocdYcSxRCmtE8kl21Dg6q8C2zoVWY00M4InjKzsVIc/fSIYY0hKZnJ2oR5uMpP8rGsapOFPwhGEgOkdwjqiMFHMees4ermXv8x6tNLYUUEyIwdIhSumkl5yc1VSINt3AhR0o5r06A8Nqa/rpdGwuSD3eewLVg/epdsAACur5kqKaUe0cUi0P0aYgDA1+c0LfrnD9hgDExC7EBbza4ONAvVehTE1hNa7d4No10TVEB/NZhVIe3zWoYaDPtkF7RhejZO35nn7ocLMdis2p2FllTbW8Rrm8hilmKFNQaTM+a+kxxZizML52FWCb+uuKsTAeM76VXpv28xWfIV749glokAHg/EK8MM6n7UVZB8bAVe6IKD7kX/pLf4nbX3lt4vBnqRUpTP71X/oWv/vP/jFl8JR1DSjquh73sjzWM3gRY7zAtBObcAu6kMdO+i5iylALQcCKKONdk4MgwqizRhPwDH3HL/+1v8Y//+3f5r0/+R5n7hP+93/zP6KqSv6Hv/t3aE/PaY7uE4D3/+SPaJsGjSI6zzA4+qZBE/h//af/Kd/6xW9RGs2bb32do+NjHp4cy3N3A9ZrjDXYUiQkrALlHOtNQ1mV/K3/8v/DcjHnL377FwndmvN2TVmI1MjQ9zSbDUdf3OMHf/QHLPb3qArLweF1dq9dlwKyZ6fMyhn3PruHcz27e9cIBBaLGfOdHYqipG16TFGJD0nqs5RtuF6v0prk6NqW1eqc1dkKN4jUVNt2zMs5J1885L3v/YDbr7xG1ElyMYPDOeoWFfP5gnuff4pSimq2nMzBi35ojEz89if7qNOx97jXryQ+RPHTc0boVed5mj/7LD7uizJ3f9S2Xe5yRnV6qloJBDaCmpKFBlDYkrqece3gGkWSU71//z5Gw+/89j/mjTff4gfv/oA33niDa9evSY2f+RIGwZX6YcAUBScnpwwhsOlaVu2GgKdezOiTz75YzJkvFpR1RVmVRBQ+SGaNNhZlCkQuJY7yhVN94mmQItcyyHIO5L2XtLXEbNvm8avQiAb6OLbTnhvidv8diVWT/sw/ejtkyTuOCzHVLzCCMia8TWkz+v1S8svghgF41AbOIO0I7o4FNLeSVc6FpM+sCUGAZGMLOa8bUEqyOEKIUiQXRL5VCyFELlqk8ooiSzdsM/MBQvAJ0M2vPIo3TQH6/GzGbDG11TweMUcECG/bLtk1E5nMyefy79NCddPgwLO25wKHgwrZZCRHMEEWpBACZqxMDrlKOaR0dK2xKGI0KdIZk0yDx/lIoS1ZgjPGgNeSmiIOJngPOjuvShjIBwc7zOcF2hociug9VkcCwjqWRyjXbLREHoY+EJRHG0vuJue21Y5zJ4YQJPISw+ikBicPKVcJjEHeAyXsAKV4+Y3XR32UEUj7UR2qCFHB7Vdf5dr1Qx58/hkDHh89yotR7ZzHIsUQXC+sE6sjRINoriVQTWs6N9D3A003iIHsxdkXgEtTlbL4FFYToyNgOT85ZXO+YmhbondAwKQKmjEqDAqbIy8h0K7X3PnoE3b29kGJVqzre3au3UQVMwkM8KjTuwUxGf8ty/JH6r9tR/6oPO4Xu2UDzBbFyP6VJs5eROPbltXJEYdvfAtVVXz+z/9/Ylh5l4o8sAVTYyrSosUdKIoyBSxymkNiqQcP3mHdwGa9Yhbust5Zsjh8Cd9/TPQlfrII9r2jKBQ4h07pEkqpxG6SFagIhRh5LhKHgWEY6LqWyvW0qxXt6nibapeibt57bJAlL4YoQC5JeiY5wHqy0YEane2tw6PQVsT/IxF9qUCNmgjrSzRPZDnGwBOJMRX8+LmiKqmqGUU9p5zP2T28yWz3BuV8nxgc7el9Ng8/5/jTj2gGz4O7n7Owmp3dBcWN62PRH12UVLMFIUKMnqFp6JoNbduwOT/mkz/4SAqhFAVnLnB691MOv/Z1rr38GijF6uQ+pqio5nNsUSGai3os2Jj7IMaLTl8GyAQUvljU4Glsx3zMk9hO6Y3nBnOfCLY915l+1ppEkM/OTlGA8w4ffKrE29E0DX3bjdqGy+Vy3NNIzAFrLVppKmtE69paAYeNTwaEYblcUubChiFydn5O13U47+m9o6oqqrpmuVzSdd1YDdgYgw+e5c4Om/WGMDggMiR97GbTyHxWis1mQ7NaSZHJXjJYNufnY6GXxWI+Xu98Pmc+n1OUBfV8znqzSSwdyQyyhSHGbaqb1op+6KirOgHjNWUp/XF6eozWmVUsIPl6s8YWUqBiZ2eHGCP7+/vMwxzvZYyfEvk4Ol59/Q1my2tiQ2gJmisUKqoxCPsk9t1VIO9lw/HyMfn1aYD9cZ+5/D2Xf3+STfLjDoL+JADlFzpQO/l9lABGE4ND24KynlMvFnTrMynyFgPBD2PgUixOASmmUkkS0Lv4XdMiM3kPvVwUJf+emylKcRSTE5SdsPGaEzCYwekYPDFI4CdrAnvn0IURrWBtqOcL+k6KSIYQk35vmADQ6dwxIedR5y1l7LSLQcPt3kwQBohKuqPZlmcCbKsQU6A2JFBWJCZsWWOqGcV8l3rvBqZc4rsNw+YY353h+w7XNMTghOGsRVbC49Ea3NBSVUtiCAztCnyP9y6RUiJD1+FTmrEbevCOIXoh1QC+2xAjuPV6Oy6MxtZzquUeO9dfoTq4TbSzUYBD7JMpOPy0EfeUQGmO7V54ENvPXd1iAsom/uDkdLnvGcd3Oka9eKxhyKaHdFQuChRDRJuMcqS+SMe9/tabVLs7hPOTRMYAYwtsAu6UuVjFXimJg2SJszHQkearQuHTOCeNb9HEzSBOJCbNUaUUQck+VJZSi+b+px/y1W/+Iq+9+Ta/99u/w1e/+Q3u3/mU7//hH+G6DVZrdFRibyMal9aKfJLrO5QKFApmheXupx9z++Yt5rMFb3/zm/xb3/x57t69yz/6738Lt15jdYGt5yz29tnf26HQmgf37vPJJx/xtde+gkIAi3klUhIuRPphoG0NXdsy9C1HX9zDalB1wal3nB09FPaiHyAq9vavjTU67n70GcN7H3Fw4zrXb99m/8YtVAigAkHr9FwUvhf7I0tBrtdrzk5PWZ2do1CpfkcAFxhcyyc/fJ9+85co5zVRW7LmdFKeRSmFsZaDw2t8/tFH3Hr5FerFMs1LdWFdEywkEOPVRb+uslMv2wZX2QOX9/SiKMbfrzr+ad991Xlf5L32R2nbLss69vKiVhCUgJRK67SPSQF3mcESePz800/ZbDYMXceH7/2As7MzPv3oQ95+522KquLw+nUBcGNAKYPzkbKowA/cfullbt66yc7OnL/z2Sfce3AfbxRVUUlW93zGbD7DWCvzXhmsLUTyqKpRtsCzLaYKjBnAGTCUe8zPXWNMXncyKi7rXSbuiWSMxiemqlJCjCRGlNZSpBZFCJKhLza4ntggk3E06vVzcW9P/4tIZZWQgmCEgLaWru+lz0OgsFvJhWGQ7OMp+L0tYifXpVNGsNIRtOBikEFoRz8IHlamGiY+eIISSSSdyYnJjxIJPGE7K8XINhbZIL1d08f5tPVHp/1+8RmoLZg9KYaX3ytsMTK/RQfZj/Xc5D4u7qvT9+Qanm8ePx9zODmlkIwUrTDWUM/qMTUm35RcXGb9RQorhmIMEs3XOqK9JwaNjSYBzPkG0/tKpCiMlhRVSBXQq4Ld3R0WixlFYSAG6sUu67OTMdowgj3ZIPaSduOUxbue4vKiO9moSXc4DAODE4kGn3SHxclOgyoKm3hIznRRVXz17bdkUDBlOkxAuGfs58vHqyjg25vfeId7dz4DJILjvSNrP3sf8V5Y071zWC8aVlqRtHHSoEssKO+kgJ2kxnqU1hTGUpQVxlr6wVHNalbnKzZNQ980KCV6zHmxiFHS6AtlBEhXER0kcjL0LWdnJxLV6ntOHx7x+tcV1WKXejZHFeVjB2y+8xyJvfhsntJ7VznlT3CMnwXAetFb3/d0bUtZlkmTW0/SECbAp4pYO+PaG+9w/MVnUglzGASUDSEpSzy6yOUoXa7kGTxYG2XeBgGc+r4jEii05uTzj3jlnV9kc3qM844iBV0yQDwMg+xNXSfA5yUn1xiDNRZrw6ilNPRS3OrB/fvsvNYTkhZa8DmFVYJGspbItUkqzUUHdVxkxyI4MRn94hBlHbiphnoGeqfjJhv2U4cctppMIHOoKErKuqZeLJnvX2N57RbVch8U9Mdf0Nz/lJP7dzg/fsjp8RHzawfM65rFckFZLcbsB60VIYIpCqLW2GpOvdxl6TuGruN61wkrKnhW5ytWR0d89of/FH/2gN2bL7F76xW0jrjW063PmC13MLYSMCJuQYKrHc0MED9/+1Hn2tPYF1cbxy/u/JbApKfrWinwlIJ1MUbatmW9XkuRlhhpNg36xuGYepX1eIkRU8j8N8aIXq8Shb047vOB+XKGtTppcIsO8Wa9pulkLdnZ3WWzXguLOIG4/TBgjWHoJcVrSPMkV/w9PT3l+s2b3Lt7l/X5isTDZ0jzNQdyZvM5xhgWiwXL5ZKiKKjrClTEu55ZXY0FVYuyoKqqbeBFa5qmoTBFYgk6yrJCeVnDDg4OWCyWnJ2dsdm0nJ6e4Zzj4cOHFEXBZrNJDGtZj3b0LpvVBqUUp/EBYXC8+rV3qBYL0QnVoGNOO372NMyrmDxPYv08zkG8PL6vYig9rhr1z1p7HKPpqnt8EdtVI0MhtrEtCkxVUi8WDM1KAAvnUWWync22eNtl0PaRc04ci2w/FUUxOlKPOx7AFgVhGGCiDbvFx1KYcGqTZXAxXVeMmZGk0daKNBLNaJODZL2FGMiKEluQTKc5xNbfSEGRPIYv3PcE9L7cHVl6YtRDdgNu6PG+l2srZ6h6SXVwm2Kxh+vX+PURw+ZM9IY3K/p2IwBAFHm1sl6iVY0t55gICtFjLsqaYd0RvRd95VSYL7heGMVeCtv5LAuHTgFviy5LcSpDYHA93dlD+pMvaB/cwe4csP/a15ntvQQm650/+blfXkvy/HncfqgSQHzhHJdG6gUA6dLwuWz7pAGRgPqLwFNOpX2x2pYl50Og2WwEnDTVaEpEZPg753jvz36AckKYMrZgkOIQZFBRbNdJIcbcV0maL4atnzlWnlcTmYm4tS9jmo9ZbkarRM7SUqSyUIqh3/C7v/VbHB+f8dU3XiNuNvzRP/2nDG2L0pEmRipTUADD4LCmxBceW1hQcHp8xO7OLgevfgXnHGfHJ+wd3uQXfuXbzPb32b95m1df/xofvfs+dz77jJe/8gqvvf46f/Ddf8afvftn4AZu3rxBt1mjVWRnuWRnbx+lNaXWVN4zm804OTlBF4a+a9mcrSEs6NtTXFQS4PWOEDx9FOa91UaY9dbi1msefPoJJw+O2Ds8ZPfmTerlDvkBWWOZz+Ycu3t0nWQJtW07YgRVMaeuI84NdG3HJz98l//H//X/wm/8u/8Or7/1dZSyAiL1LVpbqlqylKqqou0a2vWKoq6lfkMaM/n5kuXx0uuPH/5Tz/fRfW+6Bl756SvA3dwuA8mXAeFnaS8SUPy0wHluV9ld09eyZCnkUKnsS5ot+LglR0Zi1Bhbcvvll2k3azbrDYvlkr29PXrXc3BwjVsvfwVrJQPex/y0lWR8K83BjRs06zOWe3v8m//2v8XZ+Rn/4B/+Q975+tu8/fY7VHUpfrGxRGMJQWGKClNW6KIkoMf1Y/qsp0Sri30DY4YrW19WfNWsWyzkzOgn/jOyX0sdoEBV18kGF3buFBzOBJWrsJyYpGiUUqIDPgFH8/EmEVkKLVlHUymGDBDne7TWjiTOjFOB1CNR2kDYvhdCwHkn0jjjPW8zhYFRz10lOSBldMrsEBKpNkghYJPX5DDaQHL9auzfq/bgruvw3lOn4pyXx2e+1yyJkTWFsy03lZTIwcuLGM9PGBxWMLJYxSAzSYg7iK6HUTi3NUK6vktIuhh9NmmiiJaHImidxOA1RgnFezqAgjHooSdaQy6IVZTCJprNKoqJCPbm9ASj0wVODB0BiuW83nkWt29z9PnHid1o0qQgRW8SHd4LaDq4QNcPuIAwGyMEd1G31/kgkZuomC92OLx1azTcfpzmj0KAqtfefpN/8D/8llzjKJ3h6ftewPgoTE2XTLtc7dpMDIlcwb3teqL3+JgGvdYoYzFlSTc4ZrM5p2crms2a6Dze9ZCZ4EpfmHhBhVQYQ4ujrCwuFf04Oz7m/Pyccl6ye/0muz5w7/PP+MqbX78gF7FtGaxMf102Wp9hkI+TT11xkn9JW64Undl9+bVthBCULakWS4qqQAUvzpQ32GAxEr0hURyASwaHMdgiVdUsjPxrFJFCgF8f8MNAPwzM+pbTowfsvf4O7t1/DjAyD8d0Ci8s/6A9qlD4KM5xJMjibPWozxOiBx/puo4bt15iPl9wevoQQsRohUmFPECCTYIKixPKJMKXNxsAFQM5XzXP6Jg2sDEimfXElKSpQNqMdXJmcxQxBcYuLuIGbSy2LDFlSbWzw87hLer9G6iypj25y9m9Dzm99znd6oTTL+6iVKRWisV8QVnP0bpAWQnShSh6qSoxGWPwqKoi+oqiHAjLgLUlgxuoljtUVcnZFw+4/9EHPLzzMTdeeonF4S1m+zfYuX6b0+OHzOc7VLMdyI7lZHG9wFgb+2jbfhJBlyexIB63Nlx9/Iu7HsTMGCTivGNITJhh6BkGx3KxZOi7MVWp73sxqoptIYm87iqlxmIGOTOgLAt0mTRInWdnd0eCPYUAsEdHR/R9T4iRXa158OABy+US5xyz2WyUkcjnz1qZ2hjWqxVd2/LpRx/Rt10qZiNB4L4XwKae1ewt91gs5lRVxSwxhmMK6rikMW60prAFdTJIM6hc1VViEIisSwhQ1TUHh4d89tEnI/Oxqkp2d3fFSNeK4+PT0fnabDbbcwIuBg6uHdK3Dq0sne248+knvPbWm2ib0gqjArVNs3uedvn4aWHYZ3H4LrMSrgKH/kW1y07p5b+vOvaqe3nS535W2wWbmXwPjzqhUQnrUGlFUc/YO7xGvzql71pmbkZwJVortJXMPBKQejkAcJXDPz1G5thFp3m65wHCqC0sQQkBYnxPJWAKyNJy8nzU5Ja2AJjEUyPepUJaaCmQo4XQQfTC9A1B5Cay5mGQ/ZNEJMmZKToXYFMJTE9ruE7HZDm7sS/yJcdUn8M7XN8RwkCMUC52MOWM+d4h1c41wtDhVg/wmzN8uxFwPrhRzsP3jtC3KK2oSotzHTaIrF6ElObvxXmOUg8hei+60cGjYkyOpE7AXUQVC7StKOZLrM1ZGmJ3+aEj9D3D2UPu/+nvsnPrq8wPX6LaPSRiU0dodPSA3vK5HzMmLo+FaRtJGLn/Ju9dFYRKauuZO75lzcbxQ+k4Nfk9vfKCzF2Y3DsRse+kl+uZ6Hxu7z8AhhAj50dH/Pf/3/+K86OH7OwsCEpjtRLAIISk0QnOBazVI7svRggqSnG05K+Nmp15ISFlwzmRR5n6OUqpMV0bJay2vneypijNvICH/YbDa9dou4HgPW2io1forR3gFUPfILGMGqUNy/kMoqcqLctZTdiJnBzd5+/9nb/N619/m2/+0q8w293nW9/5Vb715/4cEc/HP/gz9vZ2uH37JicP7tOvNxgltupsLnu7Sja/1pqyFLLQ8dEREcd5fIhJwaK+7zFGmMU+FXL2QViL1hZJv7mQn/KczfkZm67h9a+/I0xoVaBtySuvfZXmfM0HX9zDuwGrDU4HFssls7kUtyVIvaLVZsWmPee/+M//M269/BqmKCiNFL/95T//F3n1zTeFTZxsER+lMJn4wTlQtm0xTqDfK22Eq+fFBSnOKwIrV5KhrhjDz9peJAD4ae2qvnr+/hh/k/8CYyaEYFaZqOfFr1YZEyuZLwxVPWO5XLBZzBmcY75YUFhLjIphCPgoa0tRFATvQElAU0DXyHxnl2//6p/j7je+zt//zd/krbffYTZfyj6qLdbWElDVFmUsKCEKOu8kODUBRy+DwxcBVvXIWj8FMrOesNWaEAaCTzWClOxZ3jmMmSWsThjGuS6W+BJuJHJ571OdMsXghlTwFowR8DWzgqcErBAiti6xxuKdQ4Ut+IoCTyR6x+AGgjEJQA10TUdRlgxJiUCkKwRzVFoLYKyUENeKYrQspv2UcclMDDNGJOWy72WtpSwKXPZ70vrtc/9itgH0S/0LJO15kwh2Qvo0xo5yePKaBJnknj3WyuItCaHSr9nXyueVWm/ZzzM8Dz/kOZnDCUEX2kDqBJFT0IVUXc0MJbk4oWtnEf4YojCUkoEUvEIHcCqig2yYwrATbUQp4rBNRyoLSZO1haTEZuNYTMdtpDU7StnROzs5wVqLNWVKefNgBbzMEhBjRAjZGAYn4PCQ5C+8DyI/4YOwkFO0IYNYHrh++2XKana5x/jRgYjtYnb91kvcvP0yd97/oUwWZKB47wjBjguZDD4jrIlk0GutCINU1IxRtGFCkv6QPlZYW4iuC3B6espmtSG4PrGFZXMyKumRqpxCK/0vBnlmhoh+jA8BFySlzs5K7nz6GednK27evEG/PsXuHYCy+aLlbhNgt13I1YVuvIoVNX6OSaQsOQZcAonHzz5hk7iwQWZHZ/xzoqPzDE/vZ6FJlFE2CVsUhLSRxShpGyb1szaWdmjpNhsIHtcPxLogxpAAH4+2k6ij1qO2oTIGQ4EJLs1lQ8QSh6R7k4pFuqHH9w1Hn77PW3/h32Bz7Rbd8T3CoNFK47QsuN65LTCrlMhYjN8rCnfiaCVWQSqY5bqGz9/7Q1S/pu83aCUpP2bKOopAStSMMUeDL4nlTwHP8UGrMZ1IKS96SDGOwyw7x1lSY7oZZFggG/NFWaGtiO4v9vaYH9yguvYSpt6hPT/i/O7HHN35lH51xvnpMTF4Frs7LFNqvdKy6SqjwRgKW17a+BNATBQxqAixqLHlDFUM7NkSE8Hf6Viv1tz98EP2Ny03lWVjS3YOb0P0NOf3qesl2hZSqOcSuLAFpp4O3nwZ4+xJ55u+9zxG7YsybyEDIfIbiK5gToGqqhrXCeBjtGFW1zTNBuck5Wg2m1HXtWQAOIctLUVhKaylKMqkrSXBXR8CZVGIXBFSB2BWVpyvVoTgRdKhkArJbd9zenbK3c8+G523GCObzQarDYUV3fBccMd5+fy6keJwIRlVVVkRlQIN9WKONWaUqpjXNfVMHDYfvBS6LEQWJWSAtyxwCTQ2RmOsZj5f0A89VVWlVHJompaj+/exhaWsygt6Xnt7u8xmorG/2TQ8fPiQGBFWsvc8PD7CViXzrscYy2ym8T7QrFd8cecOt19/nZhBrLjdu+DpYOjj2tQonbYnzZ98P9Pvedbve16WzfOc+0ntWYDiFwlMelrbgk0ZuCT9LQ5FJKJtQT1fMF8saNYn9F1LUVTCCLTifCotUmmjzvdjggNPa4/seaNTMYDaygSNAdDRrsonYAsOxvTM8nWgcMOAKoVlFRKjXxlDTLVKRjvdpGyFqFAxgcAk2acEtIxAttZJ03+7l8v+eslOI241/pP0RUxZTCiDKUpmu4csDl6GCN35Q2K7InQNfbsR59datE3snxBwfYPrGmw9A1PgvcOOTBRBDlS6p+AdfhjwwyC2QJSr8t5hoji+xkoKvilKTAaHUzDb+IDynmro8W4grB5y9/5nzPausbz5KrO96yhb5d6/0tPIQaZMBnjsOJBLuwiEXBon039hawOjpr9PP5XWwslxL9bOm+fH+BciI8gYaJ2yhlXyi3/wp9+j26wpCktZVuzu7dE1Dc4N+FBgMokAhXeBaES7chzbPmtMJn8491tE+AxBUoxVCobm1OuIDMEsI+hdAiWAotDs7mpefVVzfHzKYrGQmiOlHUkOOu3jhBR4Ci4Vt1Mc7O0REZasMRprLAstNsOHf/hHvPsnf8Jv/I1/j739a0QV6TcbTh8+pF+dEbqWs5MT2tU5y/mc2XxX7HYFhRXMABhry9R1zer0nOADLniKouTk9DTJC8YxEJ6HUllJcLgsSwlgz2r6fkbUcPTgIT//y99hNi+k7wrL4a1bvPfHf0DfdjTnK+Y7Sw6vXaOa1SgloD1RMVtUdF3Dyck5dz96n6brmJc1O/sHHL35Fl95801IM+/8fEVR1RzezENFMc262I6gqV85vrg9dnzUjzLurwrSPM9a/y97u8qOuNx3T7Kb1HT9mrw/rrFapy1AMCFrzChHoJVGGylaaIsSlTK9A3EiwZqhCsF02qajrGq0rlgeXOPNxYIffvARP/z4U67dvE1ZVBRlDYishLKS/ee8kEe00Zd2xO19PDp+VJJAnGaYSd0OyfpLmJeLBC3Z6DpJ4yitqEwp6gEx4L1DAW7ok46u7L8mAa8KqQWSGftGy7nKBObmWkh54ZXMZYNJWFvTNJJllcgrPgSMkWJ2ZcIDfCrka7RGVxJ0mtU13juc8xPbKTKrKwbnsMYQY5hkLsm6mjWZldkC7VuNX719fkr87W0QJ/WPMhBVwj8ujr38HHIwUPpY8Ly8LirFhe/NGdoy9tiC1ZcCAEOS2yxyIVOebgdM23ODw/IVYQTcfAiU1Yy26ST9Ld2IgMQioCy/a2yR9D7SDUv6ucbaOKZ+g02pM5EM2ebBbLSkt6IVMU2AzFCKbB2jKYtIHMiKBw8e4oNiR5eoCEOQgh1laSBF/GIUVlLf9zgnDFvnQkrdFbAnOElr8d7ho8gzDC4QjOWNr789mVgXzdQfqanU81GkJb721tvcef9DiHlhkuvPRfNiRBQQU78FoHeBqhBBbec8/TBIERGQCWEESJYIj+iyrc/P8f2QjHouDEi5LtFessaAShHtKfiapAaGric4z+bkhM/6XqJd3/omRnkikcXutTS5to7TBOUmIqxkeW+73D0NaBrZJY/bPC8BzE91QtXk/lQGFF8s/TQJEmwrjVtrIVXGRBmKomL34Dr1YpdNUVAUZSpcVaG8J+ggjNo0vsaiNylQpJXCxkj0bWI9RGwUxzH4OM7NwTmsannw0Q+o6oo2xmTwbgtxZJkJ7z1mGCh0BT6ASWyhtEiOz00HYhjoVmcMTYM1sF5txtRSk/R2c/RPnuHWKZ1G6KebZAZcp6LvRmuC1qNO+lRYPvd1fn3cTNhmKGhj0dZS1hXVYsFi/zrz/RtUy32G5oz13R9yevdjhtUpzeqM0HfM53MWO7uiM5UQbZXmbKJdgdqm32qt8TFuNamMIoRB2A5a5CcWB/uAZ2ctafTt6Rlndz/DGM0qtFQ715nv3sL1G2K3wZYVplrIPJwYplvAfRxtwOMkHZ4PPHsa+PtcoPA4Xp/5Iz8TTYqrRIgeRaBvWtHkT8Zl9BFCYG93l75tsUaYXW3b4NySxWJOCIGqqji4dkDbtOP+IeNbAh7WGhiyEaIZggDKO3s7ssdHw0sv3Wa9XjOvK05PT+n7Hq01TdvKeNOGtmnp+566rsfofrPZjDZ18B5tDUVKj1ssFqmQihTTG1Nm2QZTAtClgitai9Fqjagu2hT8Cl4KVFor+uTeqXTfBcYULBZ6TOHqum5cX6qq5GB/HxUVw24qTtMNPHh4zHwxZ16fSQqripR1QVQSuD57+ICd5ZK9wxsEbcagqzyzL++0PctnL7Nqp1pl1toL69dPAmD9soGeJ51v2n5S1/3TbE9/jGLrKkgFS8O4p4mk05ZtUxaW4LzINBAvSLjJx7fZYZfX5sexR6fBxPxeLri6ZRMlKQAjmn0AkwzUSwWwt3tncj8pihJTlPSbU1SUiuF9v7XVMysj22oZYJ6ylqbXmzs2B1u3cOUlBz5fUQaGvUuAV6CazTDaUuxdh7KmP72P35yC63BDi1ZgyhpVSDBUitk5TGfwQyc6rKaU86VricHjh54YRNs0Bpe+MySwTcBjovguJl2rmCLT56MoTIULA9FajC3RwWEi7BWWbv2AB9//lNnhK8wPX6be2aOoFkRdAvrCvU8ZRc8iKzPt8x8n6DQFIV4kgFip5PgnP0RrhdYF1hSp6FE+TnwNPzj80FGVlhUyb87PzrBG41wuUGykYLrSo2vXJHYYONHGTC0Xd1Iwrg0ZCDBKfnfeAYrgfCoSNQV8THqeIimz3FmwadZUtaVWJd7FkXnW9xJQtdbS9x1ER3CRwlpKaymqMtXbEH++MBaN4sFnn/DZvbv8wUs3+Wu/8e8QnOeT994nDh1D22CUYm9nyfr0mKbZcPP2jdSPYEs72rExClizu7ukbzZ0bYcjYI1ltTpDK9HUrWc1w9AnvU+Fcz0K6FpP1zVsmjV9O6NtO8x8OYIs2V9rmw2L5Zx+NePs7JjFYsZyZzECt1prqnpO2VnMCkpbMp/NefjwPkM70KxX3L97N/lMGucDn372OTsH16Qou8q+VrwAIm6BxemKNXkvH6uyrRe5PJ/zWHvS3/+qSXuS/ZB9vGcJQF9YC6dLV3Y7J3aWbGeSTR6iQjk5UNuCuignwVzRwbamQCmT5D59YtZrwuAYegdo6qrEu0DTDnz1rbf5/LPPGHxkd75EF5XoZCPAtACMooWutRk36styDlM/VWwA2eeFYLnVE27bgRjDiOGF6Bm8o7AGY4X1H3ohgxljCH6Q8R+i1ALw8l1aGULf0bQNpGM9SXYyXUOffI6+66nKUoBuJ4FVnZjIfd+PuF4IfiSl2MKm2jvVSE401gphSgs5xVqLipHCSKBapFgdwUFZWNq2YTafj9hhzprKtpBK89onidpcENeYbGsL0dK5AcFglfghWhESXjkdZ9Ms4qkdlguH52D4dLzmz+SCezl4mf39/JnMYs/7fi4I/hMrSCcp1mpkMsUoURA3DOSu0dZKh6gEUAKFLQRABGwhN64zAcEmHScfUqBZpY1DIm8Jh0odlCtGKmJ09EOkdxGrL+rwTKnyg3Mobbh1+2XQho2TIhRRF2ilhD2cC0REoeIHhOrvEy1ctIbTwIii6xlQdH3PyekZLkC9s8srr706buTbX368TSnFtVs3ZXMuLKEfIDEVGQ3tLeMxxiiM0ZBZFDAk5rOaTCJtDGXa/N3g6JrNFcDwdnHJEzZGkiyFOOYRSR+WNOXswKdBrzXH9++jjOXk4RFlZQlErCmYLXaEfaUME4h4EmmdsIh/xHaVU6smG/PkwCecRUGqhv0iNAl8bKNI4rxtQYwE5RHLmnLvEKULtLa44LFRJAt0TIUeo0jPR5JGD4pivsBtVmhlsLaEOonJjxuSweFwiRXhfcBaxfnnH7ApNHjPAOQqnMLMUCkw43EoCWAUFh0lHUTbApsN5iQT4TrH0J+ilaKqSoa2JwweoyVgZQsBkXTa7ABhaqRx5l0Yn7syBmwB1owbRIxxzJTADShEuuUCQ3iyqYxmYJprmYmltZICYEXBbLGkmO8y27uB7xpOP3+f8zsf4TbndM2KoWsoq4LZbEFVz1DWom2RZClE94i8Tk7AIkDYz0qjUlRWeQkIhWFAESnqmvnBIcVyF3//Pv70lNXJEcWsxhhLDMd4H6gXSzQK3zeARtsaTJECdX5q16b7zk4vbNEDmb+XDbKnGWhXsSeft131mRfFqN7GydK48oG+3aBysdQUrfbBc3ZyQtcJAydr9For63FZleQMAGsMXSda4iEEVNAUZTnqfklgx43GhrWWnZ0FXd/hBkdVl9hij+VyQdt2rNdrjDG0bTvOWaUizvVjulSuSm6MEdC4sOzu7rJcLgEpMitGjR4j39kZzgHnGLe6qVOdc60tw+AoipK+T3pbqVgmyLqSg0JVVW3T66Matcqs1dy6dQud+qt3fgS+z07PqGcVXb9gs16jNbRNg41wcnzMcm9frCllLqTpPw5A/VJs98eM4csG5uVzT52C6Xc/6bxPuvbLn3vaPLoK5Lvqu69cQ58SOPqZb2MQOT0LiRAKwWJSnCjiJQAeI7aeUdYz5os5zeqUoRsItRPwJOYiyNt+lb6SL9P5uyY2YLZH8zF+ouN79XjJbMX0j9ZELcV2RCYJlLJE5cQRzpSRkBlGkrWmbIEpCmHFaiNMx1xXIK1D+TM6ZPZNkL4AHAZjbLKzLmeLMbFxJXMgIjrp4zHJ5g3Oo7zDDR19kttBGfRsQTnfoVudMKyPCJ1kyUUfRF6tKFE6uUg2oILD2RLfNMQgTnMMHoIXWRDfSyqtc+AHQt8RXaqmDSMrdHxmXqO8x/seQy3HGI2NmuA8NtXkiDGBDcGjqjl1WaObDcPZA44ffsb82kvMr79CsXcbXdbJrhF7oyiEpfUsy8xPioGoIBEKLqsYvwAtJoku5PpJe8Z8saTZNBR7OVNU/OIP3vsBf/B7v0fOpJSUZXHch0G0bPP+FnNwP6gkcRjxPqJUIu0EARRy6EBBYuKJj+sUaJ90JX3EFCVD1wqJymzBnxxEijFSlJaDwwPxt5H07Ri36cchaYWaQtO3G6wiFQ8XEpIyFmUVGo2xhuPjI/qh4bVXbnH34w84eXAP3znakxO69Zq2bxj6Dj8MHOzt0Q8dOSBS1hIMjqhxfwdhCs7nc5w7p+s7vJYAS1BqBIauHRxIirstkp8/sDpf0bU9Pkithdmu4xtffRNbFqAiOkQ2qzWffPAB3jtWzZqiqlI9A/GBI4I5aCQrKczndM3Anq2AyPHxCW3vufv557impZxJev9iZ5fd3T3BRka/cBrwuYQTTwCCeNFTuBQ+ueynPmW4XtqTLwfWnjXo/GXe+59iu9Bfkz0Vts9oC7Tm4/XI0PTJ91QJPxnnJTm7FJlXSKa1UhCcY7Vai4ZvVcveEjRFUXPr9isUVcXRyRnlfIedpaXrHEVVJd/aoxIgKQDjVj4i38/lwmUjiK4CEfHNtdb44NCGJFExjPepjUZblYDiYcTzgh+wVuZkv96AG0TigUjf96MtLVk1Iivhg2c+m9M2LRooS8tmteZ4GCRAlfpVa8Hymk1D8J6ikLka0rXmTOKpRnCZdPxDiJTVjPLkJEnIaXZ2dwmATvrFxEBpjGTSRpJPK0WzVbaflUqB5pBWe8Eh8trqEoZYFNXYz8OQJDF8GIN72eaaPospo/cykJ+JHpk1nIlz+bk5N1x4jlPJ0IyFisSgoevaZx77zwUOi6CybGp5lqgobFqTgMIYg1C5ddIP0Uao5EqNusTGaKlEmjajEFLBOiVMxKS5jzE6BdrjKHidN8aoQJczXnn1JT7/4F2U2joTgpGkjleWzOb2Q0d0Umm914aqKDA64lIafJw8GB8kchBiEMAImSQ+Xa9sroqyqjERdvf2qedzifplluuXcmweXbzzQAmpb1957SsUVUGMjqA1fSvgTIipIjOMAtqAaMEoK/IXSR5jW3lVIkwiu2GF5ZsiI0KxlwhvPjazuFDbqLRErlI0LDKmKQFpAxfDuGsbAE5Ojnn//fcwhRI9OiWFjEw9l4Ug99n4vzjZOpn8dpWw+cVU/mdpFyODObr7FAc6b8LP9A0/G21MhUstIKmOWgnrXCkwRc1sLk+gb9djBDtXIY8JII4ootLoBD72zQadQGaUVPEt663+jRoYI+nZIXRuoFAWi4FURTUbjkqRQK0s4eLBDRgNhS7SGqQwRUFV17hB2BP90EOUiF2b0uKUAlsWlFVFUUlKT0zfEdPiOc77VMlcKdlc0Brl1RjcAhnLIrYvC5WdOOm55fUnA/FjPySH3FiLMZZqtqCc7VAfvExUmrPPf8DpvU9pTo/pVmu6Voz9oiop53W69nw+0TkLXowOpSXtDkhsJTU+O60VfghjBFYleD/GmCQyhNFVVAXdIOyI2XLFzFrcRsPOHq5dU5QzXL/BRCjLSsDGMMgmKkhCMm9Tf6lwcR28Ysas1isWi+VPbC49dh34CTnDP/62NfhjiJydnfHw/gMJTIzrNBSjpBNpYdqyELXWDP2ALS1t01CWJVUt64GkMg0Yq1Fqm7JUVZWwk5Vk6milmZkZvelRWpiNVVlRlCXL5UK0jZ2j7zuqquT09CTtA5G6njH0A8ZYysROsmXBfL7gK6++yoc//GEypnqUKsf00hz5zkaP9z4VwrXiBKd/I5qyrIX9VNZknUab9LtmMwPoC7pc3sncySwJNwwYHVksFqzXG7reYYxopXdtR7PecFaeJkkOQwyBMoIfBtrNmsXuHj76MWj2k2pXsUBz/2QA/HHsv8vO4pRpOj3fVe2q956VPXwZLH/cvp2vqe/7C7rYV13HTwrM+rG3ibevQsSFyLEPWDw7hScqS+E1UaUURFNRz3eZ7x1wfnoitRu8l6w1Owg7kC2jJZMmSPv55XUt91/w4YJdmPeoy/2baxIopVKK5Uj9mJxaIczHSSA0TnRQdQrAJg1GDwRdADHdj4DDfnBYK5rDykBKY8oe4ZjJNm3j85/8vc3gyvJm0g/BOQgBNwypIJxolGILyt1D8I6wekjsGylYlx04Y9O+KGuhD6Lrq7UU1guuT+CwGx3HEBzRD8ToGPqGrlkRnUMj9oYxhqh1el5JosAN4HqK4CAaxqJAWsaDNna8p+gHiOLwlXNLWZQ058esH96hW5+zc2tDuX+DYnENbJmKyP74AJ1snxnzdLfx4hxP4NfEtn5h5i7baxbJE7FxbVmzOT1B7ezLM0WhYmB9fMQrt2/yyUftWBT1/PSc3Z2F6AvHSN8PaXj7cc2eSiJCHPvae8mV9FGyQQY3CGPYSsZtVRjACnO22YwA62WdWu+89LsylPUMYkSHQN87HJpCi/3YDw7tNcQCE2EYOtHQVh6URSsojDASlQYfel7+ysvM5zOKxZyHdz6h24iMYCDiekfb9iglWXs7O/MEXgthSRdC6rC2EDnHwUOEajZjHgK67RgGx/7+ngAc1nL98LroFKci9yGBJYMb8MHTrdY0XeTu8TG/+lf/Gsf371HN5rTn5/zw+39Cd3ZMe3aO6zvK0lLXQoSwhZVrsgYUeKcJRURFzTA49vYOIMDDhw85P/6Cv/u3/iv+7b/xH2Bswb/213+dd//0jykM7F+/TlRWQnUXfEuFjtk+kzVLRT2OMoEVUz2X+Pg5Ow0K5r+3Y+dftdwu+2SX27MEvi//nk3rCFJLgOk+dAmcTz5q1p8l1QlRKu31WqMTZqaiH7MDvE/Z64NjubNDWZQUZY0dHN54Xn3jTc7Pzzk7W6F1SZ1wk+w76xhRIaRwqWQWZpZptqcukgrks5LVEPB+QCnJ4C8Ki3M6ZfEmjeHkZ/u0rwJ0TcNyvsBogx8Gvrh3T+qJpABZP/Rj8TTBoER6QhvN7u4eq/NzDq8dsIme9WpF0zQjHki2U5Lv2rbtVq7ODeNxMYp0RAhbrEwpJcX5ohaNc6359JNPabuWd77xcxxeO2R3bxeFYrG7S9c2GFNQmiJhBKIp3raSCZ2zdnWyi5Q2xADOSz9EFG7YaiRnss3FgE8aF9kum2Qk53Nn7GMa2Jsyf/PfWtvRv5vayqNk6I+wRjwfc1hJeop8Sb4Z0UB0gxMGnc5VEgU8LMtCnE4dkXTPIoHG6ZRpggQv3L3isuGhJfqfiJoyCJR0aN+t+ei996gmHxnTuL3Eeo2VKGr0Adc7obxncCV6iDKwEhmDGJUUwgoh6TR6kWoIwir2zk+Q/YT4RynWU9eX9YZ/fM25gZPTU64dHFDWFSpVkB9SNEaGJWQgdQSGEIMGLWyI4Dzey7WXpRQKy8WznI/ghhG8iyTAqDBjlcRx8KUFTyIhJoH/NtH8t4aJMkaMGR2JZUpXqGse3vuChwcHY7THGMW1l15DFcJQEeeD7Sost3aBezAucOoqyOnq9qU20Ikzetm5flGac05Ye9oAgSFEVs2G2hYYSMXMLLqsKasZioBbHTMrLjo0xBSF1Do9m4BOrytyn0QwGqsKeVpjnysifgS0vHcJCFZUlQQIfHCApMVkxoWkeHiCN+gghSVNkeawVtSzmhgkOgmOELYpttoYjNVUs5pqNhNnVW91zPMCmqNxQ9uN4LAUm7DIFJdNSiKqfowAZqMeHgU9rgJEZMMtKEvRi5ov96n2blHNFhx//h4PP3mX9elDNidnuG7AFppyVsmcT86yRJ/l3N4Pch/Y1M/byF12NAhOdMYTmzMGYTxlSZBIwKpIVRlcrwWsjx7XrnGFRcfI0Kyw1QLnemxVEkLPsDkh+AHXd+Qq7LIOFBT1El3WApSlb8nz9/JGtbPcudBfz9K+rEG8/Y4XicWUjIgEegTv2azOhfVjDKGwaKOlsEMM2EIMNChSFo4ejYzaVqORllm3SinR8ddZfzhrXRlC6CjLEt+7MZWpLAuslZSlzabBdMKKKqsiRbf32dnd4f4XdSp+V8ptxIsp6wGYzWpOjo8IIYxF5LL8SwY8p0YUSo21AmxZjEavaJRBWZXJaMxs9pgYydsUpL7vx6i6sAsUxghQ3PeSXbF/sE9AcXR0RHCOvus4OzujrErc3t42s2FwPLx/H2UML1tLtdjBxYtg57O0ZwVZHztCHgO4Tt9/1u97FobRs7KGL3/flNE0XRcvnicHCB/ffy/S3rvd/yLng+f//kef8N997Kht4Dder3l5XvLrX7uFQViKtpgTZjss9g/ZW51x8vA+XdOgrcIURoLy2pCL4lxuFxnFatwHYoxCXFDTS4uPPIepI5nPx8T5GG2uREiQ8+fvlHlqksRYuiLm128Tihnt+RlGa4a83/a96ClrS9RbXV5GDsKT51BmDadPjc0HKQQXUkE4PwyJZWQxpqRY7FIt9+lXx/junOgdwQ/oBH6qSUBXzi3BcGVEakvwHWFAee/QuhTH3g3gHEMv8hQ4D9oSE5HCXtAL9KIl3Cm0WlHNQFV1YkunPk3OuIJU1FYcf7QHraiNodis2Jwdc/LZe+z5Dt9vKHevo4tFAu63NoEQLp4PnJ2CvCPOdcX6Md2TH1mLnvnbftZa5JJuCgC2sFy8fZFBNEkL3CZNzRAjXdviZrMx1ddpJZlzCWwoCgGFpMiRMGd9IkWEZO9GpYRJaAtmsxkmaLrBMzjDrAgjyEyam9P1NgMOgQhR5mYMUTI6C4sKELSCKPqdoCDEJAkl5KKtnyf7d/AerTQvv/wyi+WScragnC9AW87bc9pmgx86hr4npDTroqjZ2VkIwJIYc9ZYiqIaJTqKwkAtwd2xuG2IqcaQ2AP90LNYLuiHQQBVYzAKXnrlZT7/7HPc4Hh49x5nmzX/8O//PZbLJdcOr1NZjeta+q5j6FrKsmTv4ICqLgnRUZTivytUwiMCNtqkBS8+/tC1dM2M1juOv7jLwwdfcOPllzGlpWkavv+97/Orf/kvo6yR7Gg/8YnSPAyJiJP9DxKANWZkh+neGi8EFy+Oy+28/lft0XYZHLvKZrls61z1+2VwOF7q85jY/QIEbqWd8nPOWTJC0tFASNM0B1UDmgQ4xggYqbWhhYC0mM0l+UQbZssdsJrda4foYkY3OCxJfiZly2V/K8TI4AfKQq48yxoohWS8KAFqo1eCsahEJknrGEolrXQBckfmb4wMbqBthYV6cnLC6vycb3/nz6GMpm9bPvjwhxgt8jmbBPQWRcHLr7zMzZs3aTYbFvMFu7u7nB6f8O7pKSdHxwxdiw+BuhbpmODF5tdK0zUdwyB1QIZ+YFaVNOuNZBImkPjs6DRJ2RqGfqAsS4LSNN1AVVf83C98i+/+7u9ydnrGn37v+3znO3+Or7/zdc7PzznY32e2WFIlKbxqNqOsK6ITOaqAxxjQqe6LPFPP0PVbPyXKeqRQeOVHRrNC40CKV1opGk+IWLvVIo5kTELGREjFDkNI0rlRbIaReZwWha2sRR7zjGNPMiuymsKzS0rAc4LDWqsx8gFbANIYoSyLhodPFxHHzU0AAzMyh1GBKUMpRgWWUT94O+m2k1mpxFRQERUiOipqrbA2CHtuLAct58u0/X6zSRGZSFkUUuU9BmKAPgowElJVx8xa8T4w9I5hcBLlRWQvXHKqiblInehGaWO4dnhIVZaPXaqf15m6vOgXRcHhtUN5Jyp29g/44vyTFJGKE7q6Tob7VFOGCZPCj0zfXCUWcnS5J40kMttQKTWCAjnaoVQqhAVbPacEOEl61Fb7JMRINZ/RNy1VUVJYK2kHw8BmdU63s2B1qrFGU8132Ll2C5QZJ0neBPNkUEkAQBbpqyu5X3aKLzs6l/fZvEFnACu9+IzP6cVoRVEkdn/gi6bnb33vMz45aXjnxoJff/OQfVszDA5rCoKCYWhZnR6hqorQ9+JUBnKEBqJE1KM1YjonLT2lczEZGX/GFFBHVK/Tk5QAU3Yih2EYNyxjhE0bYkjGmQBYzvmRzY4XYHoqCK+0ol4sqOuZ6JR50eAOydC1VZEK8k31gNWoaQyy9gzDQO8cOkrQanAD1hfooAlsxeHl4yalnA5jwCwDxVPWxphmppPrrwxog9eKupxjZ0tm125z/uAzHn7wPc4e3KdrNwxDh7GGoiwFSB5TTGNi80eC7+UalEqV7v3WedMKTU6DccI686J9qI0lMxdCDOKQa0NZz+m7nq47p28a/GJJ1zaUWtM8vMfy1htU811UUUgl1WZDUc0o6hmDG6h0iVbQbFacntyjUIrZ3i1MOUsBuW1Wx3Refhmg53mc26vP/2LqmWqtcX1PYYzIrFQVXdOk9xT1TBjB52dniBGaNXWrtDeHUZ7Be0fXOeqkvxnYpi1llu4I0irRQ5V0Jj0y/8tS5tZ6vQZk7Ldty727X+DcwLVr19hsGrTWdG0rKatGjEYfAuv1Cq2tRPWVwpjtHpOlMfLfuXK7tttg5DZAKUXrSqsF3BmD2HEEnvOQsdaOwc5s1HVdT1kK4BuBvd1dVmsxam/evk1VFJycHtN1HednZxijWC53mduCvu84PT6irmtuz+ZSsPInMLauOudVjs5V+99VbVq87irw9lmu5Vnuc+pkPS64Ot3HtTFUGeiYAKDTdfVZv/tfeIsidRCVQnnPP75zyn/+Zy2dMuzZgf/b9zx/4XbPX//qLaxKFbvLClPPKGZL5rvX2JyfElyPGyz4WgL96GRHJ5SBrWOg1KN9vX09lycG0posoN9Fu3u0zUH2WDXdO2WWCCybmMVKArGZmRxTfQ7tpKq563t8c4YKoouar0lqhQjDSZzAXATPoCOTAheMNiVM9frEXk2iZxDjRF9YmL1uaAluwHtJL1VFRbV7jeAG3GYlhImhF9avSRJayd/wCDAVENalthZMkmkIgeh6cB2qqEjxZtExHHp8L8FvKaESUq9plE3yPd4RvCMOA44VKgxUah8KwBYoCvRY4BLpE6MALwp/RGGJLXZYWsv67ISjz95neW3NXuw/EwABAABJREFUMPTM925iZntiq2SrWT1+75z2b37W0zE0ZQxfCBRMh/tV51YKYrbcL0MrP9st4tNI37bs9yoV6YcOW1YX1sOiKFLhNiHVdH2XgqaKphG9e2stwURKpCidFIMb0Fo0hPuuTQzjxB42EoBtjKHZtCyXC+b7O6ybDfhAXRdjgDQ/t5wRl+9EMmxSqMAYTMq2xcPgA9qAjQkYilJbxPshVbnTiYFokx2p6IeB2aKkc46qnrN7eJOP33sP17UMfUe3WdN3Dc51GK0oyjplzJlUHDuk8SikBWMUzkNRFZS+IiTmo0nrTw5mF8ZQ1iUeKVjXdiIVY2Kkns2wuqBpGo4e3OeLTz7CHxwQmw37eztEpNDXZr2mqEt2dpfM5rW4fTqRvUL6XRvark22Q0HfD9RVRV2VGKeorOboizvcfOUlKYI1OIa2oV2fs9jdR8WAURo/OLq+xbkO0KM9r7UWkk0KCkrxwIkfSybjJfBORtj4DC+3ZwnqjuP3OdoLsc8+pT0tGP641y/3ZwAeOTzhFGEE9eXvbMKErFMSk6RTZHyucvqQo3aCsWhDWdUUKTMzSyG6YSCoFLyIkWJW07pzVl3DYj4ny3xqpcf9sDApYyDI/Jb9MYzSNq5rGVKmlrFbaYbWSTZos9mM9sBmtSZ4qVellOHB/fucr9fsHuzxjZ//eaq6lgyHqsJUFR/98COMFUb+rJ7xC7/yK1w7vAZEDq5fRyvF2dEJv//d30NHAa83G8l+2Nvb5+HDI0Bk3zLhYxh6YoSXbt7g6MEDIWs6ub7d/T3Ojj+lp0t+g6bzPaerFeVsRrPZ8O73vsdXXn6F7vA6d+/epW02HBwe0qxW3Pn8c+Y7S+rZjH/0j/8Rr7zyFXZ2d3j7rbdYLJdoW9Ft1onxbAQ41pGBAZsCbm4YwEkWIwmAVyDSlcNAOZ+JrxKFcKpiRKcNXpmkWx+E3JoZxN6LfyNjcZuJq8c9R4obAhMGsYx5IckIthVjKrb5jO35ZCUmqS95i9daU5SWxXLB/bt3EzVdLkprqWQ4jTxnJlPexGTSpkE90eKYAgijw6NS1CUElLIY5QkqENgyowCJNNqCvuvxiIauUhCcpN86J+njVgeKssDYEkIYGbXD4HGDF1AqwpA0FEMMUmU5ZsFqQFm0sbzxtTeF0ZHuc9pGQOlJffvIAdOFRhYqnYzqup5x8+WX+eT9H6a0BNkuxkGjFVVdA56s4QrgBzcuDtvv3YLAyiTtYhUx1oxpaRk8zc9Oa2Et58GpFZjCjHedgXpx5sD1PWVZCjsj5qIKiugdJw8fQBxY1CXnRw+ZLw9EZJ08Hrb9MwLEI/B2sT0pCjh9GOrS69uNIwPQl46ffv8TNpmf5RZjJESPD/B//u33+G8+kAJ0f//jI447+I++/VVKI2DS0G4oi6TzWRT4FBSJUdJGJQABEIiOlH4pG9vFPk+BBCuVRouJUy9AlRyVg0jggcSM1VvwwiRDMn+/SZqgU51xbQzKWOZlSWboeh9GM+ri2Njq/eTXnHMMw5DYiRqr5PPOO7Q3SDArsdqVIgYBvr12OLf9jnzNo1GuZLPOwLlSUthHaUUxn1Ef3GRoTvjigz/h7MEX9E1H0zQUhWiKF6ko4LRtx2F+uDnauF03VQLfZL47CWwF0ULTRgI03g2oKIZDwCdWsmgx913H6vyMRdJ5VtqwPrpH+fIbFKam3ZyBa0EFuraRYgrW0DvPfGdPNKiHgZP7HzObL5ktD1Hl/ErH8CLDbXuP/6rlFtOPBODSao/3gc2mwQfoOpF00CmwJpI/08KR2RGLYwVbrTSz2RxtDFYLYJyr8wIjG0mCiBKXGauqK0Z5JakubMfPWGsk0GQLrLEwF6OztIUYQAnEimq7n4Fcm5xHxsNsNhsd3Hwt2sg8lEwC0XPTWmoZmJBBC8mKGdwAAbRRWCNV2cU2cRgjaWbCzHKEII71MLgEHCuWiwWr+ZwH9+8RfGC+nLNeramqmrqeodRaqiyHElcWnJ085OD6IfWiENsgMY62gMhPdkw/DoR9lvYkNs2zfOZHaRfOk2O0cWv/XLXvXlj/fqZbAsSiIijNqumJzjOrYN1oqCK/eHOG1iJbIPFpcRBtVVHUkvGyOl5jhkEkwkwJOor9lWyzmPbfvKk+yurMh04Y2xn2yg7qeKwar3w8S3Ze8xjLO6uS9NioU5pssu1DJlOoFnV2zNB3DM256PDmNUbFiUST3toRyNdoGP2Ji/cyubcLNur2teAlo2kYerwb0rqZahVUM6rFkn51ihs60QdOaaF5vZR7zzYhEvDRXqS00trqvcMMkjWjEnEmiu4dMdffmDDJMjPU2gKTC/wEh+9T2m1/TkSx2LMEp0A7SCSacf2I4gxGVYhcBYroFXqmWRjN5ugLVl/cYc9YeqWwPlAudlHKILodzxb0AcZ193HrwTMBw+m6X6Q8ncvtyrUHIVysV2fsXTuUsRXjmFGzmC9YLERqqe96Tk5O2NvblToYg8P7gLGZHCF+jnN+3O9yVp3WdpR96vseFaHVDV3XcN40vPLaV2hOj8Z10mRyxgSs3gaLGBm4SqWlNghjV4VUUCoKHG51gRtEl9/aIvNBxLa2RtjRpsA5z3xZcePll/n8o09hGBiahm6zoWtbkXVLGrxFWWATcK6UgK9GT/RCMRhv6J2w/HKGXg5c5WCwSUUibVlQ6pqiFADEDQP1bIauDacnxyxnNYu6AhUZ+o7VRorX5aBNPaspqwptNLYoUpaxQSsB4n3wLJdLhn4QH5kM2EJpDbOyYHN6jOs6bFFSaEOp4cG9z6mrEoXm/r37HB0/ZL05RynYv3bI3v4B3knQfr5cMJsvqaoalCVOpGwIUbIppsvdlMDENjA4vvJibIo/tXaZOfyTCtpPcarLKf6jFGqMj1kjt3N0er3TtTdnwfq43ZmsMezs7Ampqe+xxmCNJaZseFk/JPgSvKMqS1w/SL2OsqTrewCquqZMbP4YwijRuG7WnJ6csF6tU40OzenpCbPZDKWk5tbXvvpV3njrTUKIIikRPMpovvOdX+Xnf/4XaJqG5c4OQ9+zf+1Aglx9x+npCXc+/Yzz42PapsEog/du1NK9e/ceTdNSVRU7Ozucn58nv6VEoWjaDmUMbQKvlVLcuHWTdbNhb28PWxRs1uuxZtjZ6Sm//Cu/wg9+8APqukYpxa1bt/jwww/5vd/5HYwx/JN/8k/49X/zNzg8POQPf/8P+OiHH3J47RqnR8dcv36d27dvs1wuZd83Fud6Bu9FEjFnfnjF6ekpu7sii5ntseBFyhEVJVAUAqUtMdpKzYIoNShc8IgqQw7GJ63+mNfyHLSP43ov2tU5qyfXRwvjuAGSDMdW1/1Z2vPJSkwGcySAVtiioLCW6BxKGZRO4EQ+NAIxae+QdXbMBWDmKgdgZIt4ByLXMjqvRqkEzEqRKhUCBpImRxh1iAQpH7YAtFJSjM0LM1EnBhQhFdNIwHDT9XT9QD8EBhdwUbTR3DCI4ZkYsSglVSFV5OYrt1PaTjJstRoX8WcFhrfsne1nLv8r/aW5dv0GLni0H6RztAiER4SyrnSKSMep5omkfgsDO1w4n1IKUt/KZpxg0nRNWqkUyUiaK1aJTjRJt3YSlRaZAU1RzCZM8oApDIWyaD0Qo8cHSStcn204q08pqiXrsyN2r12XjVLlCNvV/bXdJ+PF17c39uiGMAHQtodtO1xNPjsef2lMvrAtajYh8t6DBq8slojD8HufnbL5TmQHiD7SnDxk7XuOjx4SmoYqsQkz0xdlk0HnRWs2p0npLZskXuhnJYUqQeZsWuS83wKpwzCkiqjb8aiTw6lUSMBs0t5J8jVwCVjUefFMxfDSHFTkhVVd0OwZuyVO9HyipKRKdFCPbEuNom065vM56TbGYI2k7Yfx+qbsG5Uj/bkvkhFQVXPK3T2q2Q6fff93OLv3KV030CUWhC2KBIZtHWajDYUtyOnEuZ/ixLjIwJ1K4BkxEPywLYSTAOyp9qSM/9wnagQQm82GermUyuxojFnRr8+wZY2Nsl52qxO6zYrQ5yrtjuaeopwfML9+m+Xhbe6+/312lscsbnyFar4/PiP52jjez5VD9icWjHlx5nJUYlTk8WWMjFFtDF3v6LpeMlkGT990nK/OiDEym9U4H+iGgbKuLoAUzjl0WdP3jrLUUsRCKaLaAqjCmAlpnJtxLxA9LDNqk+ZqxhkkFuOpTMZbgzGW2Wwmmr7WSNAmRpTZFscchoGqqqiqUvS7okBXVVWM6XXCAC6R4nMdpizStaUCtAjLL5I0x4whKJ9AbD8yjwS89mOKX+8TwzoElNEUumS9WlEWhsWsptkUtG1L1/fsGEPfDWyaFm0MdS/FeFu7wdaWk6OH3JotUboksmVm/jTaVQzg6etwcT49bl79tPa5K0G/+OT3YxT5oIgQEF6UpjyA5zu3d/mb3+z5vBm438JffGnO33j7EB23RcSAVOYtoqylqEpxFOVMKZPLCHqqZG8d91uufn6XSRdypphSEo1IA12ycy4GNJJNPznP5OQJQNVJo1hS4wNJO9V7TNuM1clzARVri1EnfXrtmVHovGiV5n3ucqHHGEfEKgX8J2NeDhIN5AS42ULWEjvfITiHb84Jvgffp3RNM95Pbo+MwZRuG0IUNnLfSoZFYjBH7/CuF4mKyTyUvdlTZgBdFyhrsZQoW0Lf0G/O6dbnaFtSL/YF0I5CY7zc30U1x3UdShmi0ajgURGqgxtwfMz5wy/YVfLUhugp5kuUnRGjHkGuy8DS5eDstEjOj9KmgEd65cdy3p9Gu2pNzcHNeTXns08+ZrFYYusZMQYKK3ZrXc+Zz+dsNhuGrqdpNgmoWVDXlZCUhj6RHFIhtgSM5P0XwPtuJC0Myf+02tC0mqppIAZeffNrnD+8T1SKeV1glU7g0NZOFMZ5GAM4MtdENzh6h7EW13ZCgApSoNk7J4SprPOvMuvXUpQFs7pm8I7X3nqH9WpDc77Ctb0UhXMi5eKcFJ4qS6khIKCyEXKWkRT2nI4fAxhtUcqlrKUKo8NYcDe3IQSKKMC5TUEWYwwdJNAVXn3jDU6PjthdLPAECAPtOtU00YrZcsHO3pKirKiqGdYgWsPaEH0Y19shsbezDEfUgRA9VlmKWc3QrfjwT/+Ygxsv8863vsX9u58xm81oNi1Hx0e8+70/RRnDL33nz7F/eI3ZbJlk+iJ909C3G+7du8tsNuPa4TW0KgkUif35lJCKPMQEJj37eM7tKj/4p2+H/2y2q4gqT7KLLttcj+y16mLx1+k5t6HYi/qz28zuCViMzNuYfNyyqKjKmvVmI4XkFMIADooQekJwEkQOga5psMZSVeWW5Rojq7Mz+rZj6DrcMNC2Hbaw+GHg+PhYMDdrccPA3mKHpmuJMfL2W2/x0muvpcKZkWHYFkmLSrG7v8fB9cNU4E7ux6Zb/cPf/wO69VoCLyHQJL30zWYjsjnaSPbeakXf9VRlSd91klEcA4PT+BhYN3J8P/ScnJ1RpjVp8A5dFATnUF7wg6KqGboeP4hvo43h1o2bNJuGTz/9hDuf3+Hs5IRf/s63+d/9b/83fP/732dvf4///u//Pfb39/m1X/s16rrm5OSEr3zlK2zahsObNzg7OmaxELmc+XwumNb5GUUiqgnoHqnnc1QMUnslEb6kmLxgB1I3jUt2zjZLSmyUjOepR7ZRkaK4qDucPzuVnXjW9lzg8Dayn0EXTVHOkjC8RlvD0HZ4HxKaHSYXBWKqbAvk5IuNcRtZ2UZbUoEon4vQxdHpy4s1YQtE+/HzCBASIlpFjAIfg1QsJjMfE1QaHG6QCSWALwxOGHeDF5DYu0D0UQS4J5Hd3OGmADuTqEW+Q64ANLdta5RNwfHcB1nwe9rW63XSKS1RSviVy71d0W3re6J3lGmwK+fBaNq2YVYWqa+TY58exKMO4oRNku5PtKOlqr21oqFltBQTFEapGSMjWS8LJXqQSqmxavxYIG9y9xESQ1EK4w2DY71u2et7Th9+wWwxo5zvXUjmunoTixeYvmPElcmi+2U3tMc40y8sQKwUWsFcR375K3t88Mcn9Kaiip6vHy6ptIyLoe/Z2zvg6PP3Obx1Gzv7Gg/f/WPc4CmswuhUIEYNGJMCPFoKymXHQ9hIccssj4agRFrBmsSkUgqlpnM8A8qKXNgwJmB3q5maGLlp08wb0biQhi2INkZpYrxQUfRy2mRI4zc4LxtqFB1F5wNGSaGqMiqi95SVIeJQIUJMGoRqy9DM5wuJoRtCwCMbo0lax857DIpqtsfujTc4vvtDHn7yQ7q2ZRh6IEhKojboVOk9JqAcowmjY69HJpDO4C4eFVyS4BhSZeeICg60IaDQKkCS4ckpUiE4YgzCZkpgtEbh+pZus8IWBaCxtoO+wQ8dFAW+2zA0DUOzJnQN/WZNu1nRtw1Ej13ucfjVb3L7zZ9naNesTx4ydB3L/et477C2GtfixzGanmSQ/stmsOa+0mNQQIrQeWuF0YtkuShtaJsN2hjaruNGdYOqqmiaBufEyZzPFxeYYTk4o82UOcc4h6wRlo/3Xow8u9W5KgoJHsm/UnEYJFo9q0pyDYJZvaDru1G7UKVCPMPgUuE5GYvWGopCAK90ESilJVVMR5TyFIVOqXGA0sSohak46rnlAhukoNBWb20rXyWAU1mKoSYgu9QVENBbPluWlrYVQP78/JxZLQEirQ37B9fouhYfoaznUlE9hOSMp+f2Uxgb28DQxXTvn4X58STWztOu8yoHNhcU7NruJ3C1P+aWxtngO7x33K40/+G3X5M6F2isAkVIRYylL7wfCKmAWvB9ylKRgKwUZAyYtIdGrbfFR/n/c/dnz7ZlV3of9pvN6nZzuts3mQkkEkCi0FfDIl1VrCKLjWhJQUsh2rIdCoci7BeH/xS/WiG/KCyFHGHZkkwVTVaREjtVQxaBAiqBBDIBZH9v3v50u13NbPww5lp7n3ObvIlCkbicgcQ9zT57r2auOcf4xje+D3E2TzHx4LLN49cxxlRI8Z7gvIhAxR6YTvcltXOLbrwmRgFXYkxlj7jRHNbaEDRom2Ntg0v7mRFBVRQtneto64a2XlGNR9i8QGeZFHFT0tPvZQSREJP53EvZSS4wdAylzhg17Pdy9H3M4JoaFUBFjTIRW2SYPCcfjXFtI23eXjpqNqwviT1UikFQZ6/hUGyOUowKMRC7btByFpm6Dp/AdqWky84rkZvwocOqAmON6DinmFprhYqBZjGjWZ1iC5HBUsYSjSZsaUlGIDMZKGF2Gp0Jo9lGcqXJL+QsTk9YHj0SENoI09JUGmMLKQJGKRT34ezzxrY9kWKry32I05/vPZ7Gnvv5HdsdapCugVJgM7wP3LvzMTc/+6rMVZuBETmwLBfpANGlNqxWa2HELt2gda+1SJT0na8hEZVkn/U0TU0IAmgqrQdPnhg989kclOZy0xFMxny5ItMjdF48fg4qEbKCSgWesFXUUfhW2IJGGwIhGWJtiFU2y7FJmi3LLGWeo4zlwtVrVJMdbr3/A3Adq3qFC060Q52QBazV5HmegNy0FxiTpFG2SBbJrL4sc9q2Q6mAKUvq9XqQwwohYJKUVV/ohs2enmWWPNPUjefmyzfJjGHZrDAocmXk74xmvDOlLMaAZrKzS7uei3xGT+SIgiMQI736Q/CBrqkhRkxuKfKckbXYIASH0WSXl1+bsFotmZ2e8sprr3Pl2isUVYW2Fm1FLqfPf4rRiLwqqCYTmtWKB3fvs39hn3I0JZBJ3H/ueTm7T/YPb+9H8eyir8ybTy4O/9sytnPDn8W5Pus9+tgShm10ICL1v99eR86SkzbyLyHtrSg14G06kbN86molIjKFKhKCxLpFXtC1LW3b4tsukfkiWaYE80pSjcoagvMslksWpzOMMZycnDA7OcU7R2Yt8/kCmz5TKc2v/qW/yBvf/VMe3rvPyfEJVVnRti2r5Zrf+52/x6/++q/xp997A5Pl/NZv/zYxRmyeobQRXI4tGck28M//6T/l4d170kkYociEPNK1AgIH75nPZoTxmMxmnBwfDwz+JjQcHBzgXCKTlBXHJ6fs7OxwdHRE23WgFFVVYozh4zt3mE6mvPKZz3L08OEg6bNYLNjZ2RET7a7jyuUrZDZjb3cPHSNXrlzhh9//Ht/+4z+ma2rGVcXRw4d861vfoigLurbjZHbKV7/xNb7+ta+LxJ9SVKMRRMWR94xHYykYZjmuc0y9Z6/IKfJM1r9EKFMJ+A14fOyNb82AcQm2kEhfW3NQb+Ea2zHK9jO+kd/iDPbxPOPTMYcTkCsJowI0o/GUshyRlTk2t3gniep5ce6YwGQBUx4HgWPcAmti3IBBQxDSJ3NegkmjxVDO+4HRJI7soknSa+ASPd41gMIaaRdvvbSQO6XR1oqkUgoxu6gJpsArOLhySYAqA9dv3GA2n6GM4cqVy6zXa9brNd57Di5eYrK3t3WhtoOu4dJtXcYnMTt6/cPN60PShxPNlU0VXxGp6zV13RBcYLlYMCpz0JDH1H7jO4wuhkVr85FynbYTyb49MUapAIUgwJi1dgMOG0NRSGuv0aKzbI0ZgmRjLD4GssykmD2mqrBG9/c4tcFENBGPMZaYQDUXkDaCcc18dsReOQKjU4J+NokcHoQ+eUAN8+f8NX5SRe/slH42wKSeFBi+qCMqrNL8n37lJT6zP+IHdxd8Zn+Pf+9LV8lIQEhZgSrZO7hEtzgmn+6xe/M1Dt97CxKA1OuIC4jUoZKgfrLkfqz4I2CjFlai0Rgl990SzrElfNI1SwUoHq90hyBMBu23hNljHObBNqjfGyP25pJnWTwb1nIMYWAXx9Se4UIkRGFvlKVHZZYeANYpqNZa2jR6g6/N3Np8JmwzjNMzbCzlwVXQmkfv/4hmucS5Due6gUllrU1gWNJb01pYDYrhGLaLIWnRky6IriX4Fu/cUBDTWS7yOSQQqW8/QQptMQQ8JMkXCaLr9ZJ6saQox5gsxzkneoq+Q6sc19Z09RLfrGiWc04fPRTQ0Xus1oTlgjvf/xbm6xm71z/LZF+xWp6wnD+k84r9/StPnKbP+4w96bk+U5F/5vu8gM9xf05b52UzS+bEDDXPc2qlh7neNA31uqGu65RM9X+qaZpG1uze3M3aQerFWJFB8c6JTnfcXC1rDEWeicFhAm+N0am4GkS+IQrYqlN3gE9SNMF7yrLAJWmmqHvDU5ueU0+eZylJtKm91id2Y2/4oZJ2msJYKWCqBLzIfiBgWYRB11Ba3ft23SStohXOhQEItwlgV6piuVxSFBXrdT20vBdFgU/JaF+R11rz6NEhr37+NQ4uX2S8t8Nkd090SVXvtJyu+dPrH89x25+cHJ6f608CMR5jPj7ns/VpwOXnKdL8WffNJ7F3XoS9uG/V7PWzQQqQGiXmyAmEHbTpIkkCyOGahvVsRr1cbWKpnjnS+36gzs6rPpaDM0HnUPzf+tnTNJzV+fcjFV7ZgCdhyAM2oGkE0JLMmswS2iBMHSdMQNd1NG1LDJFJ0tNXWky5lO5Z9v1hR0gkBfkoIRnIFh/6i5tevCn8WpuSofR9SN2ENjdEZbCTA7TNaefHRN/J710ywdWpIER/ThsTy/469XEF0afPF13jSEQZO3hx9P+ntEHbjODFhcE7aZ01BZAINQDRCJHDtS3tek1WLCl0QTQd2CTZNtyYSNesU0wNIMxQsRqWuTHa2WN+/Ij16ZEwptMibkYaTE5/iP1seF7AdsN0e/Z4oYkU58b2vd98D1Frrl2/zr17d0koDfuXr3L/7j1GAaqqoigK6mTq5Jzj5Ph0kJawNiPPFXW9egxIcumZiVHiRmUM48k4qdNK7tNlHatlzdHhEa+89hrv/fANSiO52Xljd9n7zfB1/9yArCFa21TQ0EPe7pLPh1EGmxdkRYbJLXkhRCRsxoVrL3E6m/Pg7l1KY3Bti2ubxPLrBqZwD+Z67zcdhmlObq6vyD4aZTDpufWuE5M6TCpICxGl72AFaaDQxqJRWG0EXI+WcjxmPBnz9a/8Gh+//yH1bCH2yEaTFQWjvT32L12kWS0lp1WabquzUIhS0h1ptaZ1jq5piQrysmBUjbA2R2nLeLojABGashgzub4r9yGv5FLr2K+eoqUOUvBRirzIyLICm2U8un+fcl2zs3+AMvm5xfjs6MlwEHHeYbRNeu0/3fi35XndHtt72rNO788aV2xjWNukpSe97zZY168rxvT7+QZzMAmnIb2PD4E8z/A+4jrpHJT+OtnHbfIVCp34y0TvUCm3NVphM8PsRHwzTk5OmZ3O+cY3v8mlK1ekc7ZzBBT3797lJz/6EUeHR2ityUcjvvzNbzBbzFkulixWKzTwzo9/RF6U/OEf/BEXr1zml/7Cr9C2LXlRSieUEglPpSV2yWJkfnrK4cNHWGNpmxYVAtEZsiTJWhQF8/k8dS1GTk5OyPOcw8NDnJOi2nq9ZrFYDPnB/t4By+WSWTtPXREarTpCaJhOdjg8POSrX/0aR0dHHB4ecvHiRQAePnyYYjJomgal4J0fvc18dsw7P/4xZVmwns/5P/6n/ymfff11/v7f/btMxyNeffVVFvM5v/+HH/LeO+8QneP1X/gFlqs1o/EYEPO+/b09vPPs7OxhtWa5mDPZmaCrirZtsFowBcEuYiryyzrYy0Js5tLZPbX/eU+q23y/8WTo47vzecHzjk+nORxVAoXlJACKyZhqOmE83WE0HhO9pyiLBDJ62lZaT73rCEaYeEYLixESnuF9er28p3OeYf9SSMLXOz5CYgwztLBpLwmec46IsPNa7+R1QTRwfYz4VvSdXAS7s8uVGy/zjV/+ZXRWJLZSat9LSe1oOqE37djQ+/uNdnMCvYTFgwcPcF3Hzs4OVmuMFRd5bba1vuSk1BBBqjPBVn/OwLDQ7+7tQUq++2rCo/sP8K04RratGE51nefqS7uSSCjRmdT0DrOBGEUGQzzrzrdJbdBsbQzFVitjlkkCXxabJL13nbfaDvrDJgZcDCi/YXgo5YdJvF250MZKYB48hc3x3lM3NU1dY05PKUe7VDsFUaXqCAls7i9OyqkGBnEKfgbpknSfgpcLaqz99Ln5FlLfgwhsPZwv3GaqJNnZyQ3/4evX+fe/6MnlQdpcVy3s3WxygcnFq5ze/4gLn/0Srm6YffwedVNjMiuOwzGIjrdKjt1Go2P6XQ/Wbu3KojNoCFphlSKwWQCFPRzonNssdr08DJvqWM/K9c4Pz2RvVKUUZ9rKt6tovdEWbOZ+/33rPD6C857FYkWTdJkgSAXSmsEcDs4+LyYxKHtZin6Obxe6+mIJKjEo8pJy7yKzh3dZPryL7wKd6xIwawfwaQCjtT4TJPbPw/aIUda66D2hc3jfEL2YEYQg3K8QPAqD0qLH2Cc5qLOdG0VR4FuRomjrBte05NUmSInB4TuD62pcvaRbL1ieHLJezNBKsXtwQFZVBCztasmdN/+Ie+98jxtf+ia7V18hhEB7+ACGs+gX1fOr4acf5wtETw30fv5xpTNjm7WWZZkEW0WBRXOc2rnyvEhMcy0s4rbFrNecns6xxiaJEtENNkaKD9sAkcw7Kd+JrrcELHmep6Rr81qb5mhIpneh744ikGdSQBJn40BmMtHijAhTzgoY7ULv8pyYx9qkZ0D2daP00KnSBzl9AGQzYVIG51JsENLnx4ElvOkiIH2OEvDbSHEVUvAdt1keMWmfebrOEYIwqpRSVGXBqKrY29sDJcZD1lpu37pNOZ1y5ZX9gaEPEbQRyZ2to/i041n7zJOA3+2i7/m//2nB1D/rPvdJidd5wPtxsPJxYPhp7/VzNx4LztWZyfCkc7CZpWsizWrJej6nrVdkFvGB6GUJhvjx6VWHs9et16R78v08W2jQm+Pe0ijtny/ihiQi5s4CpMYobFSb5xA92mi6piUkBjQEyiKjGI2pxmNsnmOyQlg0Zwr8m/MJCejdnHO/FsbBGJfepFhtGJjeuQGUBjGC1VnO6OI1uq4hdCvZK0NvvryJ7/tYLw7FNM4gCyGIprDvWpTNCa6VfXpgdco5aGvFfKqsUF2Lb2phCKXuogHU0kbk3oBitINrG7rViqKY4LXZYh2mewRyPZVExKToWGmDziB0YIqKyd4B69NDlof3GQG5NnQqIxvZFJc9cdo8Np40X5406z5pnfizrkP/psaTz1+ueVGWTKcTjh4+YO/iJXb3L/Dyq6/y4zfeoCpKqrKiztd0rRQi2qYleD/Ih5XlSIr4ytC0zbB29/uR7PWGrChkf9fCRIeAMS0RzXvvvMfrX/8m6Iz1upX2ZRVFKiGBBL10RR/z9QSHzfQWIlKdujFiYuWLsZMZAGqbZaCgDZ6rV64w3d1LhRhH6x2uqVkvl3jnEKM5hc3EnI8Yh1Zr2c9F4zikNaTP20D2VpnnG7P1vojt4kbequs6MpviGKSw5l1HjIHJZMxiseQH3/5TMmOw2jDe2WF64YDRZELbtZweH1NmQhojimlfiHHoEtYonO8EcHaO6IN4KWQiaaVsQT6ZUoxGJLuywewrpm7nfplOlJLNUpJ+7qOsX9lozLWXPsP85BHz02N2dveIyPWPCQTejo+3n6fMCtDEYCwqb/48hdvnGS/aM3t+/Hmm6tvFo7Md8U8v2m//nbzGJiJENuSzEpNnW3/Xm56rIRczRifSgiY4T1bkzOs1RhuiC9T1krIsaOqOk5NT6rrm4aNDjo9PuHTlCuVkLKBkMjZX2rB7cMBnPv8aIUQOHz6i6TpGkymf/eLrvPGnf0pVVrhVzcMHh0SjKUYj2uTPVSajRRekuJNlVowtnSOEyP1791nMZ2TaEjonJpneY4qCpm05PhFN4/V6TZ7n7OzsMJvNKMuSR48e0XWSm3vvh9csFguMMZRlCTCY3K9WK0ajESEEfv8P/oCvfuMbKKV49OgRRVEM3RtZlrG7u8vHH9+ma1tuvf8+o7JkvV5z88YNovf80T/5J9TLJa+89BKZMVy6eJFf+uYvcnDpIu++9y537t7l3/8P/gN+4ctf4e233uJHb78tGuh5iVUWazQ6M9ijnItXr5FnhqZuWK3W7EymWGtpvafMc7oku9e27QCIwzbOIXF+75nSx2dn8QdPTyLYxFSf7iH4lJrDfe2rn62gjGVnb5/p/j4X5guWiwWz01OhgXswzmO9R2lpHwUF1ohrIwLIeO8JXhY+P1QsN1uXJHogggobcEcnBqvSlq7ppNrqItFB9ApCpO4CLh/x63/tr7Nc11y7ehWlDQeXLsnkSC1Xgt6ns+wrQInBuAVhnPlXwAzD/OSE3/+n/4zlfM4//Ae/S24zJtMxRVlQlCUXL18mywvKqqQqS1znyKuSL/7Cl3jtC18gL4ohZzhTmU8blk8MCBXh9OSIk5MTTo6O8c6xmM0gBrJKTHJe/+IXaU4eYEcjelC7v17GiK6kMTpd741z+5BQ9tdVQWbELCRP1WJr+qBEYVNLsDFG3GRJRnRetFqd9+LIyAZ46sH/bRddnZjkJDDNO0doGtrlnNFoBxLY1zMfQn//SdrISUsa1JnKy5mkQMS+zgBsnzSGJHU7wToH0L1IQ2IulfASAfldG1CJtUdkMICAiMpKRhdu4JoVJ/fucu3L32R1+hDV1sTgUFHR1s3AlImANhk2KAwaZfsAWhYqILVO6qFlU5uIwtD5pJtrpOrfBYdCpcKOmMtEpaS3K93rkBw9bSoQxB7wZdPqChtQjT757PVJU/AWAqBzVFliVItatUBHnucUhbS7WGPZeur72SgBh5buA7qO7bFhGcWBrRhCIDio9i6iFNz78fek/S5pqttciylGZtHWDOtOCKIprrWV65ye03juqKIKyairI/pI9BAIw/zXAYgBbTcAjEhPpL+PHqXT52eyDvhOtOO86wCPdy3Ke7Ce2HV45xOIXEuFOs/JJzuYosKYjLwaUYxHzA7v8uF3/hlXvvBN9m9+np2LV6WQ19XYrKQPnTf1mKcDSk8KeJ/0mmeOF+vxTefXM9uFZd85R71cAbKOR+LA0u06x3g6BaBtO7rOkSXNQCl++kFWomkayrIc/pYYUUYJ28BaAX9SQbFvUypHFevlKhUa9dAyKu8BWsvsFKZDEKBUTgFDMtpQYgCntRpkJPLcinkeokkqRSK9KdDFZLaHpq1rdCosCRczpsKyyFeFKPuLHLccp+jUynm0rWO9Xg/rQ9M2tG07FHvW6xV1XeO9YzKZ0DqHTYB6VY2G4CsAWVFK4YuzgJLsW58+MHtaMva8QOt5pujT/u6T3u9JjNNnvfZp799LZp1/v/NF6k9KQl80gEmhUyv3pvD1pEPfLjzjPbFt8fWKdjEjdB0qq9DaDtcr3VXZS9McOwMGb+2BEKWLLu3UogHYS9NsEtdN0VSOm0Qs6N9DqZg0J3opojgUC0MqRCoFURt0VpBrKcoH7ylDRQgetKEYT7C5gMKDuW1U8vzEfpvv41G5ijFuEQPSlQ0De9cn8kSUzhrvaZs13rV0XYu1GTFmZKMdAoGwWhK6LeO4EJOu+yb2R0lHnApmc+9Cb36Suvr6uexbYnQJtZXf69Tto6zFJQ1lZTR4h2sbssphorTVKlOgteytOhP2cbde4kZLWW86h9FZOg4Zgb4Pr589ci+74MnyAt916HKEbdc0s1OUzdFZhVWWWFREW9I7kWzf/+eKa5UaYruzP3723599vn96huO/qXFm3UKJ940xTHb3+PijW9i8ZLK7S9oUsdYyHU9Yr9bJz0JynLZNbD6r8Z1L5AeFDzHp+QdpwrMix6aThBJEMVA3orVrshZtDO7UcXz0iN2Di8zvfIwtW3Z2M/kMzeDXc2Y/GL6OEL1onEcwWU7XNjR1g4qB1kM5rvDp+Ys+xfC5pZhOOD58wHs/+CFZ8heomw4fhMlqM53kNQp6w8mBg6J7Y3M9TEGlekATKSJrkbLpXMtkMpHX6ORpg09gHEmbN6BjwOiIVgJseA3WRFT0ZNqgVKBpVqhTw3oxFx3kIiNLx+QTmNtjELK2pS4JY1iva0KE8WTC3u4uZZGTFyW7+xdQ2jD0xmpZM2bHRzy8f5fFcsm16y+xd3AghZ5enjMB4pGY/HWkk2D30hXq5ZzT4yN29/ZRppBFsS9JbIGKZ/fBp8cM5/fkF2X//FmNp8U8n/Zvn+d1T78/Z8d5mYnt+LrvRu2NxM4DzEb3YkpBCj3Bi+G8jxRFznq1wtUrDOKxdfjwEXfv3aftOparNVprvvClL8kcJxknq9Q/bw25FQbslaIYsJMLVy7jjeadDz5gfnjE1776NX7pL/wFrr98E7KM4JOnlRf/jhAiNsZhrzDpmfadAwK5tdTrNZkxqbiRuqbynNVyiQJOTk44ODhgvlpRr9copZIuci2mc6sVTdMMEhG99MydO3fY29tjvV7TNA3r1Yofvfkm9XpNVZY0dc06gcfEyGdefZWHDx/StR31ekU1qgg+MplM+eEP3qJtWyn01fXgdVFkBVcvXcF5z3yx4OH9B2TfyLh08TLfa7+P85HlakVZViyXNdooysmIGKSjOHrHnTsfs5rucOHiAabIUiek4Jp5tBh71m+hJ8ps5k3f3bT52TaRpp9bMZmCfprxKTWHIyLGs/1waUxWkpclk50pWqnUQiOgQ+0c1mdERC8lRCSZU1Kd7NJrXSeTyYdI5zoBEiNJD6wPqIXRlFkr7uQmJaU2Y3rpCrc/uoXKRrz0xVepXcdkPOb46ITx7h5XbtxkMVuQFRX7ly+nxDNdYGJKgHvTjfR/5/HE7dPeAnPff+89fvjmmyKAPxrR1jXrxYJuvWatNScPHjHd3WE+m8tNiqKR/M9/9/e4cv06V2/eYO/CAdPxhMPDQx4+eEA1GlFVFXfv3OHk9JQiLyEGTo4OMVqJPkxmODjYRxuNsYbrN6+znp0wTlpXZ52GZSPNckveZgQvjO1e9LxffKRtUdjCRWGx1gzX2iRwzohsElYbAfFiH56qoc0+BD+YgfRgxhnmcK+FopQcvwKCJzhHcC3N4pSjEGmbhsxm8oEqDoGXTqBcUY0pRhO0yYixN7pSaUE1qZL6/MnnY2NrrsfwZCfwF2HEGFmv68GpExiqzecrnP3vTTFlfOkVstWMbnHC7v4B2WSf2b2PaJYz8UEMbmh1DaGTgkD0mCis2v45UWwAU2LSAU6YqzUGtBQG6LV6w6bNbrv6DpvnzntPSAWMzRbU48dqa77J+Wit8AOjPSXsKor2j2uw0XNhb4cujBNzOJLn2Rm5lxAiwRiicxiS8ZXdCL9v3Kb98H3/r3Md1WTM/pWXOPr4fZbH93FRJCz6Z/A862/47wmBn9q6V3JZ/dBmD7IOh1QwKZSSBNFmqeDkhWUdxFVe/k5Jq3+eicZ4ZgRAWy0pxpUA2V2Ddx02KwB5H59MPmOM4v6c5DOUUiiTUewesKs0J3duc/Tu9wDPpc9+HawEFF1YkeWlAClb2pvbc/eT2IWfZsi68+Kgw6oHLGJEodHairtvdBR5hm9biNJyVpQ5y2WkKkvWiyWZtbRNQ9t2Caj1xGiIITkaI8/fBizOUEYRVSSzduhAUTqkwqIiBnBdQ17YQYaoZyilIx6Y/DEGptMxy+UKo42wfYMY7milKItc2tDthh2sox6M7npJlt50JSQTS3xMIE1M+FCEKImrSbVAkbpIWuB+04EgFflOWElKsV6L2ZzSiosXLnD/3n2auubk+DgZ0Xm8V4zHI9HZV5HMStE0EBhNply5ek26dLbZO0rA4dhrY6mz4OaTgNmnsWSfe66ozfXvum5o530WmPtJI27d46eN854Rz/qcbcB6W/f6eY7jhRufkCAOL2MzJ2IMdG1NW69om1rYgqnzabMfnP/rzf56JnkIgc23G1mEGAGlH9tVolRfNkQIpbaCYNH/jZFUWE3SMkOXTpoDpAKOLsAELCRdvSDsw6JM4HPfjbWZ9+eTGnjy83LmfLYZM0TRE25b8eNIyanXhnI0wc1P6FYzcA2+bQg+mf6EHrzvZSO2uosikFzfY/Co6Ici3bDH96BN2Pgn9LdGaY3GokLE0+Kd/GfzPvEGrSzGZgStsXmBq2uW8xnTcoy2TkzBjD5DzOmvQX+thE2ZoZQwIH1Q5KMxvl5Tz0/IU5zcrWbkY01M8hJn7v0Tvj4/nuc5fNJrtmOVF3nIHO/JBgqTFezt73Prg3d5/ctfoRqNpECiRa++LHN8KAnOs1wuh72x89CzDXuN+6IQ+S60MEyFpZpTVRVlWSbSQiE5k9EE7xhPxty/e4/Xv/Q6b3x0i/V6zc7+LjE6XOfSs7YpQEmsDqRzkAYejbYK3Xlp9Y6BtmmIyjLeMeRlQeccRYoflQusj2ccHx3Rrla4ztHVDe16jWsbjBXph7zIMVrjfCBLHQJ990MknomV+zkj3X8iV2WsTp1OSS5La5TvEwEpCvm05pCMe40RySjvXWI+K8qqSJJQFo1jlJdkucbo1CkRpfDuYxB/oU5iZ9d1BB+YzWbM53ORU8xEVxqbY0cTqp09YuowlrDE49dr/uRf/AFvff97PHjwkDt373Fw4SKf/eLrfPMXv8lnP/sqVVWR5ZZHh4/Y2dtlMt0hKAtKU4ymBA8npzP2dvZYrlZ03nFw4eJWEe/x9fDsgv78+/uLmNN+0vg3AYhvf8T5WG77GIYce6ujdftYz5uv9n/Tk5p6PGwTZ0eRVAqBosyZzY6p6zV7kxHvv/8Bp6enzOYL8qJguVzyl3791xmPxyhtUVHhYsBokQbts03vpQTZYzqT3V3+5t/6W6guEJxjPJmSlwVNvcZakZLyISZvG4M2Z2dgjHDh4iV2p7u0dS2MYW1Yr1ape0LRNg2Pklyrdw5i5MH9+7Rtyxe++EXefust6vWaoiwJIXD4SOQmlglMzpJmcWYzbt+6LTiQUoxGFffv3eNLX/oS3//+9wdGcVPXZFnG6dER1hhOZ6eps0MKUkZbFoulgNJO5H9iDqPRiAezR1y9eo1qPOH7b/+Qv/Qbv0HnPVdu3uDXf+Mv84e//weMqhGHh0dMqoLJdMqjhw+Y7O5ycOESRitOj4+oFwu8a7l8/So2MymeInU/i5me5EGyVp3NtTbjSYaH/fz5aWLnTycr0R+E6jV1ZZLGIAwd0e2QxKRpajJVEZuWtVKMxyXOhZQYihtql9xM29bRdW7QIhSw2BFj/1n9w8VQbcwLTV7kjEYVJgs04Ziv/vIvY7KSk5NTbly9zmq5ZGfq+ej9d3n/zTc4vPcQyor/w//l/8x4Zw8lCkSy0atz62oPafUbD5x5Qd8sGohoa7h24zrWCkPp+LBj7+IF8izn0f376BhZzmfkmQDS2mhG5YiTo2MefPQxdz68hc5sYj47ulbM75x3AzBuTUaWWwHHtUZnlq7tuPnyS7z2pdf54i98iTsfvse9d98RsLQHX/tDT2CY1hKA+ADebRINlVp4lYbMGGELJxAeJeZ+Ojk1K5JRdh92pPxBIa3r/Q+ESBGG+wzqDAAmIG6GtVINJ0rVl+BYz09YLldorVl2onMq0hjyYBgr1fOsKKmmO0x2Dygmu6gk4aHShOnv3jaQtmHOnLupT5rzT9tUZEV+YRJWpdRjQIFSii6BNMM96VnWAEpjx/uYLKedP2T/5stke9fIi4zV4T26piG0tTB02lYYRNGjQoeNEaUKlLFsc1w3SZNMxj45zLXBaSVgY+fOvPY8ENjfjaE9M8YBkBxepzZu24NE4VbVXf7rT1OBUbSNBILa2jNzozcHkUKGwUVhzEfXQowYbbCZPdN2v2ENy5pmjLCi8r09bFbw4P0f0XUtzjsxBLL9Uvz44i6Pk3os1ks5q1xdJRIAXSeMj821CwIaeyftq16LsV1Q8kwLai9xZWJ6GWOoxuPUlrukXi1p12OyakxoW7zvMCkQHYJUBXkuiYDWYjZmrSTEznXkozHjg3261YL5nVtk+ZiDlz5PXo1p6yW+a7F5mUALOek+6HnS+CRw+JMCwT+rfMW/1pHW1ogaAAABXzTrRtiuIYSkUSYmoq5thbmWztNajfPyrK9X65RwGQHn2w6VWjbFTE3WUKM11agCFWnqeghQNmZrG3O8HuTbgBR2+JmY3ZkB6JV2swznxGTGx81c6gt78j6cmQMb/WKJP3pNRu8DBITFrmQNaZo6taTrtC8FqvGY9XpFjGI+1zQtrnMDmLO3d8Cdj++wWC45OT5huVwipD/RIxyNR0wmEybTMVVVYJQ4JlfjEXlZbB7Pvqi8vdb1t/IpRY4nMXSfVRR50tgEgZGmbSiL8pmvf16moNpeS58BID2NKbOd5JwPXs/HKU8Dz5/0fv92jCeAaIhufL2S9uy8KslsRp4XIh1gzKaLRvWA5tY79teQuD31hoRiuH5xsyduQNitYqySYqjqRTJj6v5KPhM98430HkIs3sQO4ts6PMQokwrG2myZifQnLSz8s/veZp2JW/Xh/tkK3hMTg3cAar0Ar66TNdEm/e/R3h4xKrrZEa5ZEb3DtTUQwFq0Ljb7dhCWdEhdEDJvDb5ria5LUjP9Nen32P569WQIh00671qZ1Amk0G1N1zW4pibLK7wVf4+IQhuLMhaTyVoi8hctwXYo22GTR8eTtq5+TVRKJPuCFu1Ym5fkRUW3fkizOCGrpuh2jTMZZpSq8+fi4E8DpDztOT1fwH1e4PlFGJtYTOZF1DCZ7qDv3uLk0SP2Di7wyuc+x7tv/KnI8ZUFdSsFWmV6nfyNFJlWGuNl/16v1wOxxZpcugWiHkDh3ovC+Q5rNVlmcJ1hdjrj4NIlGu/IW0dbN5CkaEDmpckykRrbOo8YYypeGNy6pq3XONcOXb5ZZlnM5/jgsEkuUmuDj5HF8TGnhw95+OAhTd2Ra+haMd60iS1srcVmuaTSSqcOog3h4bw3SV9skrg6dQxkRgrWnZDIgNTNB1HFrRhBmNdyXwrKskgkD9EyNcYkcNeS5T3hSAkwHMG5gAsiRdM56Yrz3tOtG5anM2IIlOMxRVmSVxWjnR32Ll4UckqvPR4Ch48e8vf/v/89J/cecPLoEet1Tbtccne55N13f8Lf++/+PxRlwY0bN/jsy6/w0ssvUZQlL332M1z/zGfZv3QJbTLK8YTF4piP3v0Rtz74gL1LV9g/uPDEfXfDDtzsCX2R+mkF238T4Om/3vF4bPXncY5n17bHP7f/+kk5y3kAuN+j+068PrbuX6sAqxVBKQSGTeSHKN4cznsIEJNW9se37/D7v//7XLlylZ3dPe7df0BW5Fy/cVO6BDpHVhRE13f5bsdwQ3ZJlgl2MBlPsVrR1a10NsSALQqcl/1dWSlq6QQxhxhw3pGl98xTbH9ydESVl+J14z2r1WogM/WxZq893P/u0tWrfPtb36IsSxaLBdZkQuwKkXbdkGUZx7MjRqMR6/WMtmkYjUasVkuapqYoCt58803G4zGLxYIsy5hMJjjn+L3f/V1+/bd+i7Zp2T044IdvvIHWNsnQJWnWSPI/scxmC/I8o207Lly8RNs63vrBW/zqr/8vqFc1n3ntNcaTKX/0+38gx9+siTguXLsmkq2ZwS07ZrNTJqMx73/wPst6yXRvl2I0ZjLdSZ8rxLOu6zDZ1tq5NYe2peS28Yft+dmvj59m7/1U4HDY3lhIRe8Q0NZgtBJWTww0bYcxlrIH0HygbboUdMnBd140/brO4cNGX4OohkX58YdpEwCxDtgsY9w4dnYqbNfy1rf/mM57XCtVB+el8qBRstnFwN7BAVk+YgCr6IFN2Py/PBAbQecUKW8wruHVGnjvRz/iJ298n2a1ous6Cm1Zns5obSYGUSqSlSNhf8QoZkBFQTYZU1ppFd/d38O1LQ/u3mM1j2Q2Q1lD2za0TUvnG0LnsNHShkjuZcN99OgBi++sWS2XrI/vczAZYzLZBB8HiDVaR8pS2FpdCqBjAkulVcmSGTtoPyotoJFS0npntCZ1DDOw1FUcrmbsTULSx/YtwgI+mzMBeA8YSHueaD21TQ04otKsGnHjPXn4gExLi3zwwhh23otb7GhEOapY7h5S7e5xcPWmgFg83ri2zebYXJMnz/VnMR/SCx7/2c/50Klq349BUkAJi9D2jKE+cSdKMjraw+QV2XQtAdLeBfLCsjo5IrgG37R06zVNsxCh/BDxriU4i1U2sSDOL0xRmPq6ICqD72qKUYlrWlwE5Twh6Xn3yavSm2vds5WF/aTRMRV4+gWyz39jTAULhvs+bLhRpWROGIk+igFF9Ns6PWkOb80d47vEqIzDz7UxqZUmDAliH/z3nzcuK/YuXOP+x++xOjnCuUDnEttrq8rSm/DIZ4tecC+tIutuQPp7N2tkH1DrlNwLY2pz5733BGoMAeUS2NhvMr3Ei7bYohgCd9d6mnVH27Qsl0vK6S7OtcROdOlUlqO0HFuIgeg8MRW0MpODyVAmopOmXDndIwTP8vSY5cNb5EXB+NJN8mpCvZyhgwOVScnpEx6r5zHfevaILwx5uM/dtVJEJ7p94+mUehGpVxuTGZ/2K2s3+oIQ8a6jqWsUJXmVnMxjYuhsgZMocTaOVovurtesViuM2cg4bbMa5D/OgDo9KKyMQW0x+vq/l5qQ7AN5LlISmlRsSScSnB9wL9/J8+NTYTlV/RLbXSQzAJaLFcv1mqZpKauKpm0IQdrCytGI5ckp8+US1wmwE2OkadthDeg6x60PbzGbnTKbzSQ2ceJsXNiCoiioUmJIWkcVmvF4zGc++7lB51mrx8sOzwN4br/2fID3LMD1ST+PMQ739lmJ4ZNA26cdy/nfPwm4Pp/IfNI5P+l3n8RQPn8MP/fj3DE+fsT9T7auJYB3hK4lKnH+HnT8jQZrRA6t/+u4fS3j1nsKo5VNOHYuYRWQN26BuCo9XyGcTTYEEPPDe0onoMT7qgduI6jQ7zsxtYXHYW1RCQSNOoduLedCP1fS7qZSW1oqDoYt8LnXB5d1yhFclzrTZH/x3hG7RsgIbYexOcrk5JMp+WiX1ekRbnUqwHEiHPTG2cok3XGlUVFAHq0U0UiLrDIZ4AY5jRCCmGH3wFTY5AxnJFR6jdGYxG50BhF8WxNDh/cd3gsYrbVC2xxTlNjRiHYxxzUrbFkSgyfiiWiRb+vnyplnUC5P8CJTEJUVbWSliFpLV17wYmDkW7Rr0DYfCo9norNzhZxPKtKe//pJrxniOCVz80UY2wyt84U8+nmNyAHs7+9x5+NbTHZ2uXT1Oo9ufSQ6w51jsa7RpsPYjM55kS0IEdDCtouOEHVSV5Hu2KIUzeLxZEJRlEymU7LMSleud/IoaItHcfHKNW59eIumbamqnDbpefY0nnQyW+3JfYygUSrSdR5FMjpO64joY0eyfMNujEG6fr1PBaIY2L94EZOV3P/oA3zyEfHBY2yZTLNSR9AWgcMmP57Yg9Z9cSeEoeB8JibZIl7orTXJbMXKykinU8+skxgjHwzUQTS+o077t1YCpMVESHMdne/EB6eqWJyeQoisV0ui92SZpSgLylGJLQp0XjDd3wci9XLBxx+8x49/+Bbf/va3eXT/AaXNCc6xs7PD9RvXQSnmywXOOZq25eTomPsf3SIHDi7sc4/Iej7n81/9CrsXL6ONZX5ywo/e+BMKa7nftXzpG78oUn6x74R69vx9XvLEs/LYTyJi/LwOSc+eHUf97D5rG2d5PGY6D+idifMAiYI3nXe9QevQdNbvkVEkonwMCeCIuNBBDETfGy9LZ1uXDN+vX7/B/oWLPLh/n1/79V9nb/8AZSwxqrRtyXqgItL7llJfA/RteL1xdS8DY/IMpUWjvC+2BBhsPiR9lnP0QRjCwXmauqFer1mt1gTnqVfrwTuqrgXA7TWG67oeMKOmafgff/d3mc/nNE2DNZZ6VVNVFbPTU3Z2dmjqGtd1HB8fo5Uauia7rpNij/eJqCjmoE3T4L0nyzKm0ynf/da3CD4wHo+HdbJtW5RSVFU1HF9vNr9eNzx8+IhsNmO9qvmDP/wjbn7mFa7fuEmMcO3my/y1v/nv8N/81/9Pdsbyd75tCUHOR1QWPKenJxSlMIvv3b2DznL2L1xif3+PsqhEUcEnc3sVMMbSF6yFy7cxoevn1HlmcV88ehLj+GnjU4HDmyrfViirUitTMppBG/KqEnmIzm1cSl3AuyaBkh0u+EELsQdRnPcS6CajmH5CDg9H2o+JAiR2XUfbLgjBsb87JjeaUV7Q2cC6rvFezOkiYJXFNw3f/NVfJSuKnvPan8QTz3fzwKvHXpZiaAjQNq2AQHrDdsuVgKyd0qChqxuwXhxVo+Lk/kNiiLRpa2tORXJCh0CZjG601sSiwFW9c60EnZ7NYmeU5sbVyyyP7rNb5eSFTJgQApjHE8S+KmOsocgtPkhLeN/apI1Om7OAiTqBPzFGjOobDuKwWA0u28N00KIlq1RiXEowrbXasL4QfVsTU/u5FjCCJjD3DmMUTdPS+WQM0HXUwUEIdC4kTSiXWCiKqhpx4cI+091d2nXDxZsvU07HeGUxUQ3mCzEE6qYW3S7bm4c8vbr6tPlwvtr3ogylz25a/cKolKJumhRMytgOhEMIaFugo8K7jnx8gWALlCmoF4fYvAGtcMrThZWwjfoNxYiczPaC1TMvdJSgGKtReUVs1xRZJoB0aivp14Hzi1qvw9S3JMu82oJD+9aLM8nwxqhObR1TCEE2XB+EzUhvcCWJjElsD+81QYFVGyfQoaCUgPVtB9rtNUxrjcoK8qLi7g+/T1M3OO+SCcFmjeuPdbuCKs+PEZ04SAl9DwDH4V4G54cHURhEKhk6yqaovUYuiSTE/RqjtEIrizYWk1getigox2MB08KcrmlxXUfXtrTrJXbSYLNMzEaygiyvWNYnSStL5hrpGFSeE72YHpbjHdq6Znl0TyQosoLxwTXK0TQl+Z0wy/rehE8AsD7t6Oe192IC+EINpeS6ap1Yw21KvMxQfJtMJrhW5ASElSTXsGmaJItgBZAInlE2Gp4r7z02BHTWu4CrdD+UJFOp8NJr1G8OaeOYu93WZIwhaI0emL6SbPZzepvpZpNZDv08758f30u0BDHYSCx0v1VYlqKyZ7la0zlP3bTcf/CI0XhM2zlWq4Y8L3CuY72u+7rXUNxp2475fIH3gbpes1ot6SWtptNdjLaMJmMmkwlZkTEej7ly/ToEj3ORvQsHXLpyJQFbfSL+bMDkSUBr/++zkrZnvW5zL2Rd6tf1Z42nMVmeN5l61nE8LxD+pM99Ghi9/fVP68D8r3+ox77rQY9+yPluv0ih8op8skO5nIkpVW/M2DOGt19+Rsv58Wu5jfqdZ5dsrvPZWHfQo02t25x7z+05ora+35zP44mw1pouRPYvXWNx/2MUfRFIDee1vac+VijZSvb7fdy5Thh7MUjngHPCskkAmy0rxjsHdHWDW84IXQNB4srhs8+xZgXITcBUCAKIpTih/1lIP/PeY4KDIJIT0k5v8GbTIddr/ivVS57pYb9WpqNbz7FlOQBb2liyvKTVS5p6RTaagHUDi1udK/KfnV8CHnRtAwSol3SrhaxpydOhn28h+CELilvMl2c9e3CWqfT46PeOFys2ftrYXme2QR8p6KskwSBzZTSZ8t4f/iH7Fy5y85XPcvmVVzidnZBllnE5YlSN+fj2bbIsAxeJSDEihkiWWHhFWVKWI8rxmJOjY65cvkxelZSTMdODA5TWrGspgroQqUPgxmtf5C/91l/hH/+932F2csp4lAsDNhqiyodj3P5P6008rSB1kPVdZqKJ7COoIHFBv4z4IKzaGGF+eoLWlm7dUI0KmnWN6xym7zA1yVsoOIwy6CjPmlL27PO8RRrrCwgxpjJUWutjjGfIRRuiiIACfVwR/CZuBtnnrRbmfkBMI43NCL4DLybtLhFRWtdIx24MnM5n5ErTrNZiIkikqkqKqpL9Nc+pdvfQNme1WPL2G9/lzgfv8cYb36eeLwmdY906Ll++xOUrlxmNSozRHPg9QFEUFd///vcJznM6O8VHKdoUVcm7P3iTi9dv8soXXicrJ4ym+3x8+wNuvvqadAUE0CqmLzbdWiqBEjFhKErpx57DJ+3LTysMP+n3T3/uf/7G9j71PMWtp/3s06xl258JT19LN/eLVLzd2jMH6SaPwMbn9igjsnBEj1aJ3xshBpcIXpEqLziuj/j4zj1+7Td+k4vXruHbDlPkyBMvuWRZlngXUCZhV0TWdU2RZ4IDIYaMIiGaSHxpD9HKUBQF67qmMtlQaNYJ+7FW1ATyLKNZrylMzu2P7/Cjt37MzmTC4aNDwbSMHgovPqkHzGYzlssl4/GY5XLJqKpYLBYoRFK1bVqKPKdtW7LMppygZb1eJ2kez+npKdPphPV6Tec6JpMJMUZOT08HM7rT01OqqmI+n6dr4fjRW28xGo04Pjnm5ssvc3h4SONaLl2+xGq5IjOWyXRMjJHvfPe7mFwMKtdNy7/8o3/Jf/h3/k7KzQOTvV1eee1VPnz3J1TNiH1t+NHbP+Ib3/gmhw8fsZjPMQq+9Au/wNWr1/nh977PeGdKYTLWs1NuvvQSxmRURS56zlr2bucdqNR5JxPrsbhse76JRvWne3Y/neaw6oOHrUQFJVUIRCy/KEtWqxWKjWtgf5BKKXzbyULcdQkclpZnH5L+rTJ0nRva23vxfXkPD4gRmuh8SXB2OhNtoZ3JSJLlTJNFS2wDoe3FnyO5Nbz15vd4/evfGMzmnnWxrDVP/V0/ooJqOubg2hVW9YrVcsnNl15idjrj6vWrdM4xGY959yfvcO/2xwJkXr7IowePmEwnzOdzMezICvLM0rZSiRmC4hAHTdWeOAGSfO/u7nJwsIdrVuyNc4rCYNNDLtcto+vaMwD7dmJltMZGc7ZtYdA2SW0BQZgbNpNNKBDQ8QmVR5kMQ8Adkba8/oD7pEUpebh1AthM+lsxbAgEDz442aQ7J4GKTtqSnRczAtExIURP7AJr57i3WnL86JDdkxPW82MuXH+F3WvXBhOEHiA+Pj6iGlUcHBwAaqMH+YR5fj5ZfVJS9WIFwXJve8CyXyAByqKgaRqyPBfDMzbnFmIgU1a2qBgTq7AlErBGqnMK0V7TuoGYdKyNZlujPCpFQGGTq69GYZQ4bytAZ0Z+bwwmWqLPklRCN4CufQIppolp2+x/pvpneitB1RpIjup9vhsige25Gejals4JW7Bte61e+XMftrSZYyQqhpbVOFSseGLC1s975z07Fy9zenLC+vDBAHzJ+2w0N7eDgLN6nD0IqAaw3XuPzsyghZ34XPI6A8prdIyDXA9IgcR3HdpYQh/o9Y70ZsNOM3lBPvKMvKerW9ZNTb1aM95x+LbBNWsyk2HzUlrgyorl7BQxqdQJzE5npDQYiwGyYsTO3j5H9+9w+uAuNh9h8hHlzkWIimY9o6pGoDLZW/qZ+5xA1yeN7SSk31d+3sdwbsOcVly8dInl7AQdA67pyFrR2TLGsLu3K4yltpc9USgCXdvQWQEOgaFYl+W56AorkQUy2FStTp0zEWLcmNj1iZr3nphMI/vWp+GapmdF6U0hpdfu7ltq5Tk2AyvIh6Q7zgbkDD4M0hdd62nbBog0TZfWBQF4287Rdh110wCK45M5IcbBfCPLMuq6BmC1EhO/um5wzrFYiHxE2zXS8mUsk/GU8XQHrTX7+/tMd6ZkuezLbSoweg27Fy6IlJHWg3HfmSLyuWTsPGgmxSHzzNee33POJtJn58n2a540fprE7nxy+LRxHiB83vce9pmnsIafBFb/rIpFf+6jxzq3EsAQpKAuOMiZACn9jSarRtiySjFgYoakeSaGjP2fbebGNhA8gNDyqjMA8WN/gzyT20NMfUEFMTKRvU31/6NPLnswdRvgPj8/+/1aKYWJntmdDzFIDIeSwpbsQ48XRrbZcUMuvQUsEeIAzMbghzZyMTJWZHkhhd96RehavJeupn4tHYyy5AO35lTPzBMgWoXUuRCkaOWcw+qw2XtjSAzHrbU6vbecG5Is9EzlKB0d2rR4LXtu1DoxMxVKC7OrbaUgqzInRsAqH4B6JYFOAnaTYZXrcG2DjpG2WbI+fkS3nFOMpxSjcTLwNqA2PiPDXOjnCs8u7ujEHtvMg02cLKCAPTu3tufV8JMX4NkF+mNNkOWZ35y5PlrRdh3XLl7kx2++wbVXXmayf4E2KnQGO9OSw6MTJtMRRTVCG81kOmE0GlMUFaPxWAoPMdI6x+df/yL/7f/r/81PPvqQ3/4bf4NrN68z3d2lKAuatuVf/pN/iiPw2pdf5+u//BfRecmlG9f5wXe+ja872uWaylZE71Cp+HpGxzT9fx9hDV1USuFjSOzmgDIhgYyiB6pD6h7N8uQvAq5pufP+e+ADoXNErYQNHECkGw15XpJllq5ryLKze1wfaxP7XGETz/e/P7tm9X8rxIc+/u/nXPBn8wSlNWiNNSJ141IHdJQFTM636+gSQ9k7R24tseto20byn7ygGk0wJiPLRS5vPN0jes9H773Dw3v3uHf3HlVZcfToiBgjO9MdLly8QFnmjEYi8ZQhz7X3jitXLnN4fMSyXoPV2HnO/npFxNN+5Ni7cIGbr3yW/b1d8u9+m6tXryQALon3qGeLoz1eAHz+8aSi9JlC3Qsw/qzxwfPm+H+W69H/6cZuMCL4C/RerQqJpYkQ01wWkFTAY4MSKUQiKni6pqVZ1Rw9PGS6f8Dexcv0Tq9N62R9NmpYw9OXdE5wuMwaiXGzjPv37vHmG98jeM+N69fQSnP95svsHBwMHf6jsqLr2sF8Oqa82bmOzEjHCiHywQfvUc9XWG1ZzkTH13tP5x0nsxPGoxEazXK5ZDqdMhqNOD09pchyXOeoqoquaSnKEScnJ5SFkD6EDdwxGo0ZjyuapqEoSnoypTEam1XiMxIC1mbpNQV5nmOtZb1ec3p6ys50ynK5BKUoRhWz5YJqMmY2OwGtWNYrNNB1Ba33dEnKLkjljJNHh+ioRHIDQCv+F7/5Gzx49IDZusHmJaf3HjI7PuVHb71NW9fMT2Z8/nNfEJ+TB0coH/ApV+nWNTdffgnFGFNILFN3nZxfwiGkUHCWiLY9dFpLA4//7lnjp8qOY/qv3+NtnrGzt8/skeh9nBwf09aNAJE9uBEFPHHe03lhDNdNQ9s6og/ivh48xngUmkyJNEKeFWijEjgp7IBgIl1LMkEKtHVksVgzKkusUVit8VpjtSHPclzwOALlqOLWe+9x9/Ytbrz8Mko9Hfw9u648ZZFJEf5v/vZv85f/yl+lqioikKc2GVIiTwjMTmfcv3cPjaKajLn9wQf8N//Vf818MScvC2aPHpLnuehRpUUiz3Ks1rgEEktxVyoGuS3YnYxRrmF3VFLmlsxajE7GJYSUSINz7ozw+fZiv832AnFs7Vv2e9MNc6b9j8QkE9ZyZMMGlnYfac2X4FsSiiHpi70RgrTg+uAxQSo+Sim8Tn+f3iOk1iWF6KPaKsMofQYo7ANS7xzr+YzVYsbs6Ij56ZyrywWXX/4cWVnKu2jNtetXh2twHoh7UlX0037/8zrW6zVVVaG0ZrlYsLOz89hrbJadAePkEssz5qPHtyvC+pjYLvHrFW2zJrYNvuvwrsHXawgB3be8BmEgBFLiEBXl3iXa4zuDbhmAUSnhDXEo2kSiMN+1SFv00hAhnG2JHpIQ3VdX+6Rkq5KuEmgTYq++IIke8nXbJgPNKCwDm0slsmlanIvCnkxFDz0UFDTeixb3MHcSECqMSxBzdou2lqysyMqKex/8WLTEtcZ3/WJuiGhEp/Fsx8TmmdWoqAW8RdFrEQ3YQpBijLYZ3jmiDiijE2ukN1r3GCNyAiE6wtAmlExRrMYqhcpKguqIwZOVnnLSsG5b2npNWy/J6oJsNUMXI7TV2NySVwVZlqV9wQhjOd0P6UQQQJAQsMWIcnKB+dFDyvmMvSxJWShDZjLq1YqiGqP0WcOcn+XQT2Dg/bwOnxjwEdI+IGxeF4IAv0q0sMuyxLmOOkSm0ymzmehuxSiyTXVdD1rD/fwSHV9pURUDM5sMYZIuO8KsMWaTaIhesBRkvRcQWRthCg3t1E+4ttsyRyrNCWHgyX7Xr8fe+1RcFCDGe0dTd8zn86FLp9cBWyyWrOuaLkSarkMradNdLldMd3ZZLBdAZD6bs16vads2GdNIB1OeFQQvDuVFUVKWJePRmOnODjs7u+zsTIkxJoPYUjTCY6RuOy5eu8HVGzdSgShZbEWee171gHl/vQZTrS3g6vzr+99/0vs+T8LyLIbLTzuelFQ+z9guWj/r2F6UxPSxodLGk9q4B2BG9W3cW3GZVgTX0q0W+K5DAk0N0aCUFS3fuIlX+oS919/v32sbCBr0KHkyaCASE/3zmWQVTGpLV5oYBVAEHgNye9mlDWjzeCF9Q0gwhJha4qOR/Tid83lQedjHh+M62zGjlSZqQwiG6AO+DfjOoUyG84pyUhFVpKsXNMsFhJCYxmnftRplLVHppPmvkWbalKTHrWTdJ4PlrqNrHOvlmtFOTts0FMYmMMyDEv3HEEICpfqCtSLoSDRyD/Etvm0xJkfpDt+uCapfk/t2Yk27bujWK7JyjHIC9EVlUClOl+uSmJ6+o6uX0LY0Tc3s+BBSwWu0d4Atp5hilLqDJKGMg5RTTPMSNjHUU6Zy/6/cxAEy7dez7TEQK+Lmr/ui8YswJOLrc6Szer1nX2cwpqCYTrn93ns8vHuXvQuX+dXf+Ct854/+OT4ec+2zn+HqjZe4+ZnPkJUiU1RWFdZk9LJ6Pnic7yjygn/nb7fEEPjy177KaDQeoCOzXvPLv/GXefDgLq+9/iXycoQHvvjlL/NP/8HfZ7leM6kb4qTosdYzx90bKPb7cSQOprchBKJSuBCl67ZzmKalUEZ0R5FYsihLmvWa4COZ1rRKpM508oIRjV9LjAzeBg43SEv0n2WM+P70BYe+IEM67H5PPGua3neV6ZSrni1ESSfcdlehdMcFJE8QEFqn9nCffI86OheIrhtKF23T0jZCXCmrEflogskMWV6Q5xVlOeHk8JCjBw9YLRcE75nP5qxWK8qy5ODCAWUp2sej0Qgx84x4H2nqhoP9XYxRPHr4iLZumZ8ueHTvkIMLu4yi4f6tj9k9uMzk4AJf+cY3OL53h+AcKrcJEnzcBHZT6NnEUz8LMtOLkuduD6Ue9zT48//MZ1+ns/t1P8/VoO4rXKNNsVwh+drQ4ZFkm1SMSc4pyTd5B1oxn81p64aPb93mzv17TPb2WTdrqvEIlRl0TOSmtPFqJVI2wQe0AmMzXNdKbN923PrgQxanp+SZ5aP33sc5x7vvvMvLr36O69dvsLe/T7NeUxaFeOcYTfRCnAoKmrqmadb8g9/5/3H39h1KW3B6OmN3MqFpatbrZdIplry3bmpijIOkRJZJt16MouMvGFng6tUrLBZzRqOKqhKQd7lcYq0hzyeEEDg42EvPYo7SWqQctB3uUQiBk5MTDg4OaJqGsiylA7FzTIxhNl/gEV+xLM958623mU4mdE3NI+8ZlyPRee4c64WY/c3nc7SV3F4Zg/eO6WTKX/3tv8p/+V/8F3zuM5/lG9/4Bj543n/vPerVGqMUx48eUY3H3Lt3l6LMmM1OGI1HzOYLHj16yKuvvcbBpcuU1YiyKGi7TlQEXBhIY099xpX6qUScPiU4vKFB9AfjQ0yLr8HkOePxhNF4LFWF1HbV1I1McGMw1rJYLnDeUdctPkRsnkv1XJlkiJQlZFzYRDazZEWWtAhlUQ8+DkltjAzaIlk6o940L7OW0ImurlDQCxHI3/AQts4t/WTr2p592M++VsAzxXgy2VRg1UATkeHFfG80GfPZV19ltVjy5ptv8uO332IynTKZjGnqmtg5JqMR6/WKoCKTnQmubrDacPXyJRbHp5DMN8rSUuYFpQ1UZUGeZxJ0ewgWCOCS/vN2YL4dtG8vmueD+F43sQ8gzsyArSotWkl1uH/9EIkoacuPwrAYgv4EFYp+sVxH59zQ4iREiEDPNlUobHLlVSDgUwQTxfW+Z436EHCJ+dl2HSfHx2KQ5sSx+vprX8COKmIUs44NM3ZzTueB8+GAnjFepA3TGINzjqIomEwmQ9UuxIjtmWtsrsVwf6PChECzuEs9O6bcvURbNzSLObiGdrVMJhbCcNmwrJPG2BYjSXlHOztCaStsnOFSbwDW0DOVtha6bb0ymasbEAW2tXY29+NpQcHmXke8J4HAHXXd4TovBn1GqrJd2zEajxiNquTOLp9rdIZNGsNnI2+G9x6ue2L5FlVJM5/hlku0liC7l8XYJL0k5u3mmTzDmuvZFdvJ29Y1VEmbSKnEtN+a084JC19MBCI2E7Mc76XyiRZJIJS0tRIiWluyvGA83WG1ruW+r9cU45ZmucDYDGMzcVe3OWVVYTK7KQgqdY5ZbVFZDsGLOdhqwcnpnN35nL1qilKKfDTFuIauacgLK6A5P/tn7TwL6Od7pOKqUqAzYlTkoxE2s+A9yiiq3QnjnRHaKDJjCN5RlQUqRoJ3ND5grXTrWJthraJrnRjNWDF8AVkLfArCvAso27cnblg8smYL2J/ZYkjESABPLyXUv36jVSy61iBFp2EvsmaQqgix1/4OED2d96xXNc555os5IBIZznmIwshfLpYs1vUg49K5wOliTT6a4lB88O77WK0F3EGR56LNVlVjYoSdvRE2y8izjCzP2d3ZYTweo60lH4/IC7nORgsDwVQl1166ydWrNylHY2LfbUPaMs4FaU9j4Qx3dwjsRCrru9/9U/7CX/gLZ2bA+fbmZ43zrNDzv/ukvz3/Pj/N+LQJ2fN+1lP36p/Xcf4Qzx1zihbP7HdKGazNKasRKCWAZpJRsNoQFML+PA8qKzUwWfufb4CWpzPY+yQUtTlgpWWNVMmfVqcEY6MburWCxrM65NufsU0+OM8klb19k6j18dz2a4fz2kK5+viCwbVd9ruQWH/WWPIiJ8ssse1ovRO93QTwGivrlbEWbUUaqTfKSh9AvycrIiYGfLMkdC2uqWnWK3qmMFFAam1z8GKm65wjJq+O/u36a2GthSyjbdZSTFcG23+sNkQlnRTe5JRXXmb24U/IlzOK8S6hTFIWMWD1Rq8SpYjeUS9mhGZJt5yzmp1QVCPK3cvYaowd7ZCNpthiJMVy39E2a5TJ0NmIrBwNsdq2xMT5IUSf+FRo9xPJE+opP/+5HVIg6TtVn3Z+MUR29i7wxW/+IldfeYXZ8SkXLl3j4pVrfP4rv8jp0UM+8/nPs7O/T0zkCZMKpCC1I6PEsLHICgKRr//SL0phXWsxc5NPoqxGVC+9zJWbLwEKRAaYnZ09rt24ycm92wTncG1HrDY5YP/EavOEoqPanFtIHUN9fFe3HXXnaE/Ea2MyGvPSZMJ0/4CTOw9kbQqS5wb6zro4xAlKmeSd0cvBbQoIQ5zgA+fj3ag2LerAVm6Qjj8KAUQPz6v8eLvgKlcsQNxoE0sXlBDN2rYjBJGpcq5DxUhmtAA+awGqsrygGk+xWUaWGfJqRDXZIcTIxx99wPzkmPnpKYvlkuVqSZZlXLp0iQsXDqiqgr29XcnRExAu/kdyjS4dHEAI3Lv7gKVbsByvmI5G2B0p9hsjoPZiuWA2O+VCsxYt476zWp3NaTYZ+PYaejbf/bTjxXlWz49PbqP/8zi3TyrOn/+9pHZxaw82DDITCqQLBimkhghJLg4l4C7R47qWxVzk/46Pj8nznF/9tV9j/9KlwWS8deIFhhbNfp0kIgCUFq8PYxW5MSwXC37y45/w/k9+wu7ODq7taLtWvLBC5O3vf5+fvPUW3nn+1r/7vyQjgtYYJV2IBC9+ZMA/+ge/y/zklFFZMa5GvP322/y1v/JX2NmZ8pOfHFPqnOlkQkTWjJ2dHay1SQpPOiq8c+zt7bFer5M0nuPSpUtn8Cil1AAkP3r0aNMZaTNG4xHLRKZqmxZjReXg4OCAjz78iEuXLmMyy3yxRNmM2XJFVuTsXbiAzSxlVfH1r3+df/h7v8fuzg7Xb1wjtI7Xv/hFvv/mmxwfr4kx8u/95t/GrWtMngsZS2nq5Yq27fjMZz/La6+/zsHOLsfHx7Rty4cffMCN69dRSnH344/53htvcOujD/mFL79OvV4zme6ymi957yfvspgvuXbjBqPJlLIsBfCNaiDMbWsOPz4HP70czKeTlUhVVNkk5Wca2biq8YS8qhjv7nLZiavoYjHn+GRGZgxGaVwIgwawAFOpBRqTZBWy1NKcgTHYomBUleAcbb0e2mH7jbp3TZdKGUm7+CwTNvQgo9I4pfjaN36RS5evnAGthvGk5zkFYNvXNW6Dv2yMffob0rUtP37rbW5/9BEfffAhddMwOz2lXtecHB+DFpHuMsvIrKGra+pmzf7BHj44nGvJtRaNSG3w9ZrJKMdoRWY0NjMYbSkyg830EMhrbYeFRAwDzhoU9S1fw3FvgcZDEp/SlZAYaiFEhGSnz4DKoW+fNVvsr2FibgDjXhMlxmSW5ROzIm6uaf+7hEcO72G0sMBNqvzKOtmbG0gbr7EZyjk0iCRC06CtoVmt+fCdd6jrjhDhxhe/QFZOUEEJG/Xcg7LNrO6vyZPGnyVh/jc5BhkJvalCaq3PuBc/VghI9Wff1dQnD5nd/YgHH3/M9c9/haP5Ajc/pGsbgktMBKOGlsK+fVEp0UACsEYTXUtMkhDbAd3joMnm++12uD70UcM82eignzkPtUmeBrZE7D9PihdN07JarZnNFswXqyGgFfZ+Mr3Tmt3d6fB3w3sj59iDtf259Mma0qnQpS1Rw87+AfVyhYo6VVe7ob0TJaYdMS00vdax7V1S5aQGXUZhDG0uR/B+OObYt+srRUz3YWCExIB4dCbtw8yiox1AfAHupPKrlYJU8CuA0WREU69ZzGZU0ynWFoSpGI9Zmw8R6Xi6g0rO7HLgcbibSmu0zXCdYnT9c+x/4RfJyik2L4Z7JyyuAupaAhiTsQ2G/yyePbVZeP7M7/WvY/Sb/jbroChypjs7rPwRl69doekcj+7fE814ozHJ1bx3+jVa2rVATFryPBtkTZxzZNpCCs5Go2pY6zdBBykZM3gvRZE8L4YAzDmHGfSKZTweIG/2me37uK0pvs2C7DrHcrni5HjGarVmvRZzVh88y+WKru1AKdarNS6C79vishxjNOv1iv3LF3nz+99ndzLFGEteFuRZzqgsKcqSoixE+1rrZJBqODg4IEuSO8ZaMi2sqczmmDzjyks3uf7KK5TlRLoiONtSP5ytUo/97FlDrrXh1Vc/e+b6fdo5/6TP/WmA1Of53J8F+/j8NXsecPuFAIbhiRjbJ14lpTB5QVFWmCzDdWK8FlLhXKXY5/w1iAm0O/PzmObn1mt4wtcS77nheSfGJBnjJb4Mavh3KIIm3d0egjlbV1eDDn/6sGEfpl/LSGSABHBFROpsMOFJEcjgQ7n13qAJqm/pFDIBCrK8IMsLtFY0q5XoC3uHDx3E5Dyu1QAMG5sP+3BfoFER6RRCOtlUFOawUREXReYsNzl5USTvCjkX19VE5+naFp32v76wHfpYRWnJcaylbjocNZUxZMpIKBClyE4+ZnrxOk1d408fDHJqSinRdGV7fQDX1rjlCctj8TKZ7u1TTHcx1Q4mn5BXI2zWm+k0BNclOQ5Q6gQ32qWY7g/77VCI3iAWZ+cafd4VU+Fy8/NhLm4/w+rsdvuiPL8xmTBKuPr42j7ElYjxuFKWyXSXqpyQpzz2c69/iei/gDaKoJDiTjJR3qx3/aXuwXeFtfmZa9hfU5tyqv4ehehxbcv3vvUnfPzhh4R2QXdhP803Ncy57WJSr1Pex8giW5hiR3Tq4tP4KESj3b19Xrl2lfF4jK9rlM2ZTHd52H3Mel1Tr2vWyxWwicl7iRelkGuBR5scsMNnb5/fNsgTtn4PGy8CeX3KB9Rm/hNlfSLoQY+8H30OK/NaC5komVI5LxKG3iXd8BR/d+tW2vaNZby7L4xorclsRtQZ5XSXo0f3Obx/j9PjI9brlRAo2payLBmNKozVFEWB1oaqGmGMxjkxJRRbA0XXtRRlQVQRHzqWqwXLVUW2nFN3bTIM0+zuX2I1m3N0+IhLNsPm1SCHE2KUvD+t9Rvf7k1usslRXsz89acZZwoNT1lvPgnEfZ5x/nXPs7YNBZsE6j/hFUMRJ6ZCQvCyF9k09XUMeN9Rr5YcHz2ibRru3b1HURS4zvP5r3wNr0SyyEeRaI0JiI4+YDKD79okjwiZsYS2Q1vLG9/+Dj96+y1GVUW7WqeuJGhWa7LMsjuqWK7WuLrmd/67/5YLBxe4evUq66ZmNJ0wHo3xMfL9P/0ux0fHeBfYme7QNS2//uu/xk/eeYfMGqqqRCnkuSkKJpMxMQbquk6s4Iq2brhwQwDU3d0dpAtVjKW11pRlyd7e3tDRuJGs08xmM+mYNJayKMUzpfSyFGrF0fExV69fA6U5PDqkqEZ84Uu/wHR3h1/5lV/mq9/8BsF1YgjsPX/1t3+bw4ePuHX7NsuTUxbHJ1y/eo23fvBDbr78Mt/543/FowcP+fo3vo4tS/YPDsizglduvsQr//H/VrDCELh79y6u6/jMK5/hlVdeZjGb8c6Pf8w3v/mL/KN/9A959Oghv/Vbv8VyvpC1x2Tcv3uP46MTLl+5zN7BARcuXKTIC0KMOC8FOp0KAT6RbTYFtx4z+XMypOs3MYnF+qQ/EtHk1ZTx3oSmXonRgTE8vH+Per2mXtc452hDwAUoi4xyNEJrQ54XqKhRmaUYV0wP9rn+8k2KouTBvfvc/eAj2nqN0UgLSOdFWiLGpCcqqGKW5aBFxH6jjZicU2PEBUfXtXz3W/+SV7/yZW68/BmGoKdfP8+faw9rbaLF4WVSHZF2VK3V5r2IdK7ln//P/4wf/fAtdiZTdnd2eenll5lMxxilWbcNVVlQ5Dmr5YKH9+4xOz2BEIiu5uLeRTSRsiyIQUwK2maN1ir9JwGuT0F1SCBw5ztCF7FGDxVbkEql6BjLEW5XVnUK2E3fZn1mIsUB2OtdamVj3rT7qK3gMUbh+XkSoIzBmIwQPD74BHBF8FEA39gDyKI9m+U5XdtijUVpSRQEaNYDICxJhxJWSGKYyX0WreI8EyF1XGTdNNx6/31ZGK3m+qtfQJVj6fBUPBbyPmsz2E5aX8QxbJB9MBh7yRDz2OY5gAtBNGxXy1OWR/dYtR0XP/M69bpmNV/QzWaDhp6YGW6Ae22N6OgNc0rAwchGKiQOzTRnGUOKkBy81RAAnWcLx9if05Pv27Dlqq0FcgDXxGX18PARy+WatvUEoKwqcSZXMB6NyLQmy016XmQehqgIvsPYxKpXmqhCSm7l2vogkinaZmRZgclyYjC4boFK7+VRoGxKTOWKBMQwTiFSLjGqtKkncy+tz5y7fCNmeiF4UAIg6H59DpEumfoN558AQKUi2moprvTPTEpy8E4ACqPpPERjyIpCgom2oZnPyfOSejGnHE9o1itc26KNJq/GoG1/VyUQ2Uoco9Jk4x32r792RqP5bEClycqKtllRGA1kPLZA/1lHfBxc+XkdjzPvUtFib5fl6RGr1UKcdPMC13Z0eYa1hmokhnOL2WnSdBeJobZtqaqSzGbs7u7QtDXWGowWlmLTSFITYxwCLQLoZGBYjscsZ7PBPOI8cL2dOPc/11rjXNgKiDfPZf83A3s4MYDXq4bFfM3x0SmrVc1qteZ0dkrTdXjn0dowGo2pxjvMl0usVagAeZ5TZAXGGr7+jV/kzTe+z7QS1oLSomme24xqPGIynVCUpTwXnacoCmwC1vPUZZFZjTVWCjN5xnR3j6IsCYqUfKtU/JCvt9s5+3Ee6H0y8Cl788WLl56Z0Jz9m7OJdf91/Cnm9/O+/omg5Lkk/6f5zE8ChM9//0I8v+eOUcCXFCs9JaaQDrqCarrDeGeH+vQYgiNEh+taFNKGvqlxDZBcmn/b30ps2gMmA1Nvy2diKMywFRMNQDOo2Gsb2kREUMM+TiJq0IO8Ku1nfTGzH94PQFT/vCRIih457D2yVB9nq01gLoD42SKxNLJvXwMFWuO8QyVps17P1BiFtgaTZJ50lqGzPHXLbMWvvfxwlONTyIfEJMsUgkPblHdogzYWZSuCd7T1iuA9rulQ0VGUI+k4StemLyh7m6GMxWpHvV5L0t7nMiHpRs7vMrv9Lt478mo0aJkrlWLx4dpGYtfilnMW9+9hMsvkwmVMNcaOp+TlFFNUKBRuvaJrVgkoF8mA4IQcoFentKtTqskB2ubYciRdKptICuiZxWmipNujtybPk57I7VhsM71egGeXPqY7K0G3PTZ5gXhbECNdU0sBNRVHIjL3BFAHlZ797fU6xLD5hDMf9fiaKnlW2mPT1f3hd/+Ef/Z7f4/F8QNu3riSZltMnZJngdeu64RBPxSdxV/HZtlgTq6U4vR0hkexf3ARazOODg9xbYdvGqaXDyiynBgCTVOzXC6p6xqbWYoiSTZ4hdJiaBdiRPeM3QTW9qDXRs5k63rCpuKA2oolOHMd5NptLlscvtosvT6KlEP6LklJSHeTd6Il7kMkdEI4W7cN9WqFjxGbZYlUhYD/RpEVOdWo5NZ7P2G1WNDUDcvFitOTU9qmYToeUxQZeZ6R55Yss2hNYg8LMUVrRZ5bIYLlBcYY1ssl67bhdLGgurDPZ1/7PCInpBlNdvn8l77K3bu3eecnP+HGjRuMxhNsXqYbzLD2y6PY51hbFywVvPprd/b1/7aO519nPil+eRrY/DQ5rCeNfh6fIWLFTe4YUZuvt4pRKAGLdYToWogiP7NeLTk6PGS5nHPv/j2stSyOTvjSl76ETWTKXraNKPuoSjjNrfc/YDk/5fOvfR5jLCH5fd19731+/NbbjEcl1hhc0xJCoCgKMWJuA1Yp2tWSPBNG/Hs/+TF3P77N8dER091dYgysVmsyaxmPJ9Ll7z137tzm+o0bLFcrmvUqSWqJp8jB/p4UbpOfyXg8FpPt8ZiyLFIOIfnLeCy67Qf7B3Rdx+HhI8kFqiqtZyINeenSJW599KHkO1nGeDJhsViwrhu0tezZjLqpyYqMv/Xv/rt87guv86WvfY1qXNHWtWAbWYH3HU3T8P/4L/9L3v7hW4zKitnhIVVWkFnL5UuXWM7n/PD7b/LH/+Jf8D//s39KAA4uXCDPCy5duci//7f/NlVV4boOnwrI3onsxEcffUQMgf39fX7rN3+T7/zJn3B6fMrnPv8ah4dHLMwcFgvJO5yoMUxGY0ojMUiZ59JR2YokSGZt0oTfEOK2duLnGp9SViKC2gSNm3lrULbg4OJV2tohLRyKNgTsYknRtnRtQ9s5qmpC7DphrVlDVhaU4wkXLl3CWsvp8TFvfuu7rJZLgnPoHqQIvamSBFvG6KSbIrTxPLcpXpINKGwFo+LyawhKUTcNj+7f59qNmyjbm2zJucV0Yt47Hj14wCRR1DNr8T5QJUOHruu4d+cOf/qdP2W+mPOVr32V8XjM+++8y51btzg9Pubw0QMOJhMUkUd37vLhe+/RtjUqRPKiYGc8osjFUVwEx+WcLu3ukVuLNlLt1Ua0mPK8oNdW6jfJGCN13ZLlYqJjlOi2+hixuYEorCxjRYdRzDnCmQVKWNjp7vaJfrq/0v4jgGLPwO4nWi/27X1AEyEkNnDSjtJaGA4+RQHSnhxR6OS2uQGntZLqp3MOndqOdO/s3JdBlcJmFqMNqECWWZSSTX/QtPImLYBALHAhsFytufvhhxRFhi4Krn/282jVA+WPJ2YvMgD8rOHDWXC1bwt/ZkU1/S7LclzX0tU1t3/4bU4e3aOIgbzIB/1OrTXKKPJcnNVFpkDMF/qW1u3WB5l78jnbhhP9sfUFl/7n5zV4t46Up4U224D+RgtV5mZZluzvHzAatbSNYz6fJaaqZbS7g2sadAwUOsdak5gVITkE60H/SCVwiK0Nv8fDdQLOq+kEkxeYPEclDVgV9FaQsQHTglIbs0YtoJRWepBC2Q7y5Zw2TCy3xcAkxsFcw2+xw7fB9RhFV055TwwKYyPGqjOaxz1DvxyPGY3HrGenNPWSYlUQfEc9PyG0NYvZKTsXLmPLCeKgvEnyhxC/B8FdS/AOs6UpvAG75R9tciJLSca1sLN+Fo/lz4Lp+G9yDPMlasrRGA+U43EyUlxjMiuM2KrCdXMpLNbrZA4b2dnZoWkavHOMyioxyGSubYNuvRxQX+wxRidJCsv85HQAnXp9+n5sA8XGmDMA8XnQsv+6f/63gdOmbpnPV6zXNcvlmvv3HxCCmMns7u7iXJC9AMXly5e5nhUs5qd0XQ1a0/rAZG+fV159lde++DrtcsG4LIkhMJ6MRGKnrLh28waLxZxqPMIo0UqsRiOslfgkzwuk/ArWZly6eoXp3i7OB7Is6Wema0FflFFnr8MnJQzPA4ieZ5BtX+s/r/E87/2v6xl60jV6YZ7frTnxpATzfMwRtYG8IhvtUE13WZ8cs14vqawWXUAFOi8HYPdMUcAn0BeGIvB5YOlpc2sbKN4clwBZRNH/NzYTL4AYB/O17b9VUZ8xYotRtPDV1nlz7ni2n/uQSAgDsxE28gw9o1VeLXuTESZg7M9j6xwld5DYpG+ttZmwOVVf2O2vRdqwzh9PjBKbxy02YogSS6M0rQuMjJV9tq1xXUfXtVjds0rP64Jq0WY3GVG3EFsWq4bSWLRrRUm0awiuhegoM0M1qlApX1LJhPfM9PKedjmXYtbFK5hqgqnGZOUIa3OC62jXC9y6JvoG7xrp+Oo6TLqmyhpss4D1HFOOsKMd8ukBKitRqvc22Ozmm0Ll9oHID55mLHl+zr0IQ4DLkNinT9dEj5DILpF3fvQ2uwcHHFx7Sa6vho08Vq9qff5zxAy2qdvENt3+rF6+rCftkAruAXzg6MED3vzWt5kYjd7bxSph5GV5JpJ86ZmLKSY83yWptU76pQzyDk1T41xHNd3F5hmRDoUmdA2owO7+Ph+++x6z01OWyxXz+Zz1eiWkp6Kg7TQ65Z6dc0kCS2QzZN1I0jCpLbq/ItvdrFqlrgDiEK/2vxuOWwJ6uQchASGDma5cKx+FFS1gtJxfb3LtnMN1PlWDFF3T4ZqWznkCSggeeZlkt0RL1WSWxWLO6aOH1IsVy8WKo8Nj6nVNbi3TyVjkEBUYo8lzS55nFFWBdwLAWavxftukVxG85/TkhNGoYv/CJYrxZAsf10RtuXrzFS5eucbs+Ig7d24zmeywu7+fuvc2a2tEnQHdUTI/z6+9PgYhhjzn8/jnHXP8rMf5sGH70GPkzFovv1dn/u2/flYM92kwgyfFhdv5ESSWcNp7h705SlGnMELiWC7XrBZzbt36iLZr6LoWHwK5ybh24xIHl69AjFgj2JV05HhIPk4/fvNN3vjOdylMxvf+5be4cfMmURneffddqqrk4v4uTdPim46qLFguF+Lz5RwKRRvFiFKjmFQVo6Kgaxr2d3c5PjnhYH+fZdfRtC06RE5OTyXHBj73pdf57b/5N/i//2f/GdZoCmMpyxySGkBZlgNJwxjxE+g7n7uktWut4eT0GKUio9GIl195iffff5/ONUJgqQQTW69XfOGLnyf4wHw+JwL7Fw6omoa67eh8wJYF/6v/6O/wlS9/hWI0wkXxwTLGQGLkHh0d8vf+7v/AvY/vMK5GeOc4ODgA58izgtliTpZlrJua6XTC7OQUm2d8cHLC1WvXeHDvDu+98w7f+MY3+MP/+fdxnePSxYuEELiwv09d19y7d4/FYsH+/j4XDg748MMPmS+WXL9+g67rqEYVy8UCawxawds//CFf+fo3WK5PpdvRaNZdS+jX96EjuY9BHu8Of9b4dLISTwhuRYssglaU432uXFcYNC54bFUyWdUsTk4heLTNUTaH6CknY6bJDfzo+JhbH3zA8nROaDtc2xK6TpJUAi6m0n1KVm0yfNNKY21GlmWUhcUohWs7dCqzR8+gqeJ95OLV6xydznnjT/6E6e4eDx8+4MLBBR7cvcfx4SOc63DO0dU1H/z4x1RlSdc5VJ4xWyy5/tLLOB94//33+fj2bfJqxFe+/jV+6Vd+mW/98b/i7//3/z2FMWQI4Nm3gWdFyYWDPS5evMDB/j7OdWgi89NTfNNCcFLl7QNZI+Z72vQ3Foy20k6OH6qdq6bBFgUWjffQIOBQkefofsNViqKsUpsshNgIq1GbAUxSbAwBBHxPQb/atApqkmFAz7pVbMDFZMrlAvTGPFor8iK1ICejrb4VUhiXpCpRv9GbDXhI77Aoi4BSwqiytgcWLdZKwGqMTuy2TVWp64RTYowiywzr9YoHH39MXo64cPEK1c5+4p302hhPSD77yOJpP3vS73+OR5YW2u1NzJjkev40gFgZQlvTth3rxoMt2d2/TLM4QXfNGWDYGIPJ7eCoLgFbn1SkQDCNQTdMnQ0ItzfMXl/Mp/m5DXpKG2mPySSANL2v/LsJgsJgQBeG4LEPEJ1zrFYrvIvkVoLarMiJGsrRHl3XYYwaTOBEukGS4DzPB+aXVlpYBT3AFjdaiihFUY3SdBFGFTEMawOxD4xTIh0g6KRfqiWJ1enf9IYDMBeHirDoDZMMOkOEGJIDc9eJg2xKvEWrSnQtY3J6921LNBHfCftFGzE9Im4+z2Y5O7t7qFQBXp4ek+crlDas6obp/j6Tg8uyvrMJIFMNZrh3Fun+iKEFHjec62dnVJqimNDWK/LSorBbj97T9TM/zXgaG+jncZw5x6iIGPJiTF6MiN5htKFnFOdFTp7nuKrCLxYorcmyDKXE6OHipUtSfEzskizLhjWgB2J6CaL+2eyTY++3ja3S4cSw9brA+UJOL19hbUYIZ9nC55PUfp42TcN8PuPo6JhHjx6xWi0pyxE7uzsUVcFkMmW1WqG1oXMdr33hdT54/11iGOGjIyiDT8DtV7/+db7/J9+mqqpkTqHIqoLpdIfxzpjp/k4KPkuszSjLkqyQ9WA8mdCEjqIsyVPAqpWRgk16PnwQAEFmlKJzXdLH/+Q5+klJR/+3n8SWHZ7vTwHKPOuzP80zdT7BOn9vfxbJ5PnjfpES1A1U+/h4EkAscX2GziuK0Q42L6iXS4y1KJuhrSW6jtjrkW5/xlaNbXt9i+c+cxsQ3k5W+3nUgy2KIAz5kPTHg5E6SOz5TZvP7kEykyQaeqC2f02McTCEatsWk+VnJBKU7mNPRa9K2hMhFDAIIG+fUQRtDSRigVHbheBEPjASl5h+H9V6Y2B7BhDe1jztP6P3OIip+JMMrpRCG0U+mpCPpgTXEp3HeUdTNwTTn3+/dm6utbE5tvDYrqUzDdotaY5XlFUpMbTriKFDKylI5WWFsYUAjEqduZkR8ARc6CinU+xoSj7ZQxmDCoFuvaCt1/h2TWwamtWMpl5ijJWupqIkRrC5EWmKzpFHJ9dIKfLJPmSj4XMff6a32IlKTliIjGdlRl7kEdnsa+fXzK6TgilR5nVoW9bzORcuX0b18l8bTJ3tSzW8/7D3aow1aQ/edK7O5nN2pjvpFiiRICAQXUszn/Mv/sn/RDObYY1mOp0ymUyEIa/7rp0tqQYeLwZFJc+5Enll0FCNKpFMCh7frPGZYv/iRVQIBA/3bt+mW0u+7J1Itlhj8S5Qr5sh1/A+oJWwdcXbJBC9gF0xBImb0/pxvquoN6KUY9204Acf5dqS1sp0TYM4dcr7epG6ixG6kMxtg+gMZ3mG66SjrmlbadfXiugdvuvo6oauaVFZLxkTRAtc9frTnuNHD2jrRhiQjRi/KyXkmKosyZIpX2azQd+c2Et1MWiqEqU7yyhN07ToznNyckokMp8dUxQ5vouUozEYyZtsVnBw6QoohetaDh88YDyumOzsgMqka0PFoSBBX7iGTZzX7zUhPiaz+LPct3/exiZmjVs/2xCI+u+3O2v68UmA8SeRAB4/ljTX6ZfOzY5q9IZBr4gQPUWmoetYrRYcHz3i3r17HB0fUpQFnesIMbJ3sM+Xv/p16Ui1WdIRFkkEQuT+vXtMRhWuddgIynt2qhEP7tzF5Dm5EUlOXzeJAJXx8MEpxmiKvGCxWAgu1rTkeU5T13RlSQwR13WsVivyLOPWrVvkeU69XjM/naGM5XRxiM5y8izjM5/7HH/1b/wNfvyDH6CJNKsl+wcX8cHRtg1FUXD58mU++ugjrBZPkvl8znQ6pes6nO8YjUYAHB0dMZ1O2d3dZblcDt5KbdukvEcIpnsH+3gfOJ3NRLkg99x78ID/3X/yn/DVr319qNypqAmdRxnNerXiX/7BHzI/PaVZLnjpxk3u37sn3V/eMT9ZE7wnsyKVY7Xoivc+EdPpDocPH4oWcuv4Z//TPyHGyP7+HsfHx7z80kscHh0N+TqAVobPf/6LrNYidfnyZz/D6ckJq+WKtuuYjMd0bUvbNBw9esi6bYk+sHewL15taZ92vhvyNsHXPtX0/JSyEtszOY0QZRFGySb24NbHXLtykVW7xs9PqUYFO9MbuM5jipKd/QOKPGN2csxH73/A6eEh9WotWoKdSD+E4IcWshgCWov+pjY26QJK1d9aI4twWZBZjVERH/3AFu7ZDQqFMZajR4cUkwlvv/l9urbhw/ffw7cdVmlMFDA0MwZrDEWeEbsG5SPrkyW+afnoR29j84LSaMajEeO9Xf43//v/mEuXL/OP/8d/xO7uLt2qRulIVuTYPGMyGjHZ2SMqxXq95M78FB08VgsrWGmFshqT6PQqMbWGtnqlZJMUbJwuKoJSRK0wRYnOMmxVkRU5Tb0mKwu6xBgcjyqKIqdpRAvJpk3DGoXWDOwwIrgg7ekghgW967BoT8mi2rdD9hrHPfAegBAVkwuXWCwW4JoUMAk7tF4nXdrQL35STVcpeVdbdPcYg2hDZgJmogJZbgcAUimVWqAT+Egkz2wCDAPB9PNDUeQ5LgTqtmM2mzF79JDDO7e4WhZkxXhrVm8MgTaT/dkL/7bxy4swetAyxLMMiCelrUOyFB2L43tgLa/88l9jdXLID/7gfyKeHrOzMz2jbaqU6Owy6PclkzsVAX1mYZLNV1q2ulQEMucAJdEPd2c27J65fqYgrraA4y1Qsi9CBO+l/TMCKhJDaifzjqIoybKc4KMYXAFZnm2YSFpcmbXJUhFFJydkSQS8c2lOapRh0PeNSU8dZH08OXzIuKyIXUd0PjGB07MeA0b1WsL9miByD1lRYLNMQAG1CfRJIYOPSItQArwJoiUVYkwMJtkcXGKThQBd8Egu7QEJjG2WY4uAT+1pA7M7CuBurEYHRaxGTPYv0CyXooUYaqpqxMUrV5leuIIqqoExdj6wVCTAum3x2ShpGz5hnm59rU2GVkZaIM1mq/o0QdjTgWQFPBtI+/kbaY1U4k8fomI83WNx9JAiywmFo26h84GyLPGdQ43HGCKr1VIMVxTU6zWLriXuBkYjMbEjKKzdGD9KYicAcS/z0DPljTHYQvTLcd3mGodN4WU7AQUGFnEIKRlKrWPbLPW+gCNaw0vm8zmnpycslgt2dnfZ3d0lL0tMZsWsxVrRJGs7jo8fMRlPJHZQEW0sbYjcuXOHX//Lv8G9Wx+RK8VkXDHemVBMxuR5LgZAVcnOzg5KG8ajMdYKsBt8oKxKdMzJijztN/3attHj79edRD4iz8RRWekeYJP98vwz8Rj7bEiEz24/PXNsU2jp1+chrRje40nv/Wcdn/a9Puk8n+dv/iyf/3M1lDqLBD3268eTTEUkaks2vcD4wnXq+QmPbr1P2zTYsadrhflvs2KQKYJNbDYAxGED2Ep7FpsWU7b+Zisx1loL2SNGMbOMvW+EEj177VDKJhxaDW3t/RiYf5GNRGsCaWOM9AIWwXvycUns6gGM7jVP+9hBXrophvbgo8QPjtA5CDE9w5IrDLGBUsNeKgiyeKPEYc/sn8p+7vXAcA9E9fci7a3RDYxHrW0qjCtMUZFVE9z8SMxgiZR5nmINkNhnu/idjs8YMcMzOfhajMeS6U/P07A2I5tMyEbjpI1sN2vr1txRWmGLgug9sWc5dx7f1PiuJYSWen5CO5vhOwG9TFmSjSfk5Vg6fVRENzV+vcItZygsymR0yxn5NANbwNYadgZc6edbIvEMsdwz5viLNLRSmHPFvn5EpCvPapEd8p3j5OEh11/9XPp9ZCM09OQx3EcUeZYK5jEO5JzxZDI80/0eoGKkXq74w3/8j3lw6yPAEYwQEaSFuu+2UgMouL3G9l2j8p5S6Mhyg+0MutVkmaXIpfOvyAwmKk6PjoWJHCMfvv02r33+SzgvEg2k49faoJMPzXbM3j9bptcgUQxSGjpuQODtdagHereJJZzbR2NiLA2fkcDWEEWaTrqNYiJJCJlpvV5vSU9GfPB0rkOFIAWVrgWgLAohv/mAyRXaZBhtMUYzPzqmaRrqtqVN/7m2QxU56ORHktagPM+HZ0LWt9SNpU2S4LT4ztG0LVU1IhJ5cOcO/9V//p/z6ude5fLlK1y6doO9Cxfomobd/X3yshKAOASC89y+9T7Hx8fEoLh64yb5aMwmUwChr59d94FNnr8Vsz1rbBN4XtTx2H77HKjZNmB+PrZ90ns+bZzvShneJ3nwyPv3HSfCWs2MZr1e0DUt6+WS0+NjdnZ2+MIXP48uvsx3v/0tLl+8ymde/RynsxlBgSYmKc/Evk98qT/6wz/g4d27XNw/oCoKdIgsZ3OUMazditVSmKnFZMp4NGI2PxWJBuc4PDxkMpnw4OFDke9M+a73nvv371OOKpq2ZbFYkGeSR3ddx7gaMVsuCSjatiEajckMv/Krv8qb3/seO6MKa4Tchwrs7u5y4cIFbt++TZZlIr+QZCYk3m9RCrRR3L9/n/F4zIcffkhRFCilmEwmg5ldXdc43wPOkp/uX7zAsq4p85yvfuPrfOEXvgS9X4rRdOs1RV7w8Qcf8Ee///vMjo559dVXaVZrRlXFlYsXODo84vD4hKoUSZjlaj3EetZa3HLJ/v4+dd3gnSfPMh49ekSV8pZmXTOqKvb39jg6POT27dvDXMiznLKsBFvJc/70T75DWZWMp1O+8IUvcO/+PVCKzjnefvttLly8yHg0ZjDkzbM0x/r5tvExehztefr4dLISEmXKYpwm+nYyuFwueHDvPvVyxtWXrjPe2cNmBXk5oixL7tz+iHu3P+bo3gO6uma1mtPWNW1d0zQtXdsKOJja0kwydepNroy2yWlYEtQ8z8hyTWaTjqfr2aDCXA1BWH0+BkbjCu88xnku7Uw5+vg2lw/25XhXCyajMSZLuoJaHtDMWvLCkpc5o7S5tJ0jKM3VCwccHp/we7/zO/zt/+g/5O/8r/8jvvPqq/zD/+Hvk+nA1WtXReg7SsVGNjCPtQpriqGKSN/2k67noAEb+kqpTm030lbQeIcyCtd5qmos5kHOMV8Li8p3nqIUlnBX14S6xib2YzDSrh/1xh0ewHkweUnXdeRWYbbAHT0we5M8hEIC3y1ha4W0Si2ODwmJ9SG6eVCUmSxydSA6T1Lc20zcrYWrb4FSWu6f1sKmzosMo7VIZxjT00ggGdZFH4ipgt91DhKrUim5dgpF2znqtmVxesjJowkXr30Wpfvp/2Qg+ElJ7va9epE2yb49fGCFP0fC7us5UUUuXrrJT974Y9791j9GNTU7O8K000olnU0pKMTEypEAb3OdngS094Gc0SKW3/98A4KeZRP3po/n703wvq8y0Fd8Y4yD/AsIKOmDPM90LgVEkoyGpIe2/Z4xCqs4TxuG8w4fI7nNpHhFIA8iqZFl2XCsJjEtuxBoO4dSBqUalNGsOocL4FSOq9dkVq6T1UYKRbZnzqvUiibAlTCxN8+gUkBwuKiw4wlhvURHAbe7rhsE+WNqmQthUwVvfSAaS+g6SXZjr+/am/6k+xbPAqfGGIIymLKgyi3Vzt4A6hWjEVk5QWelFHrOgSHyeIs2u49QXLjB9OAKyjzOGn5sKMiqMc1yji6SPvPWHPo0Qd0T3voFG/Hsf1qBsRxcuMTi+BBjpMiWKUNQSQokadaHIifiWa8jrmmYtS2j8ZjOu9RWmOG8+AT0BcC2lbaqgRnFlvlODMS1T+1d8julFK5LQLGKydhFXr9JQNi8NjmZC1tIfq61sHCbuuX0dMl6VbOYr4UdrWR9GU8mWCN6wKMR2DyncA6loBxJK1lfGL4w2WF1OqMqc37pl3+Rf/VHf4jCsaqXmJmYWNx86SXK8UiYBq5lsRQt5dnxCe/8+B3pHMoy/upv/3Wq0YhyPBGjLpV04XwcwLOAgGIqBAEEEuFwgG8HEOXx5ORMoiDl7eF3W6/czIat18bHXvfTjU+zpz2LCb29R/Y/e9Lr/jyO60UZ5/exs4kmwgrOKkYXrrJeHDJazVmdnmBPTohVhS1K6ZjSZigYKtV3mEnjetx6T1mXkzRP5LE9dmjRTsX6zb662YMVEHyvmXz2eEG6v/oOMCFobKQYziTXSNHVdR2Gs51DZz5PbYqVsQerg5fiq+8SGCrrkchaSWwYkoOdSmwZWTE1rbYCvtWrzbHoDct5u6jZF7CG9S4lwf16ZvIClRWYrMAYS7NeoLzDB5G0y8vsMeBlmxluko5/cC0qeRYopcmiFYa2MZTjHarpHjobQVameFXYi2r7mmqLLSfUxw8I6zldD6J3Sc5vvWS9nEMIlJMpthyTjUaYYiTyJKmDzGYlDYZ2NSPMj1CpWOhXp9jxHlE/ASDdYhf08gTp4n6aPPTndvQm7D342RdWepZrnkDjiBCT2q5lVTeMx5MtEOn54xXYPKsAxI1sX0wx7vz0lNsffsCH7/yEh7dvYyI0IYDVVGPJY22WDeSj4T1Jz1bYdOE65yWUSPl2ked0mcNlDuc8bdvh2k4YsFbhmoa2Fmm0nYMDHiWgqNkinHjncSaITm+I6O1aTxS/jdYFjBZGfYwbo9qha0FenZ7LTY7cM4IhdRdurR19sTl4IUR4H3CdnEP/7PZawwMw7Jyw/FREeSluhCjdDz5Eci1FbOMDeVaIoWAIrOdL2qaRbmOfTLC0SB8KyCf/Zf33upd50MloWghro9EOy9ZRlCX7u7vEVESvF0suTHfICKxPj/l4teTWOxJvXHvlJfYvX6YaTajGO6jM8tJnPs/hg7t8+N47vPTSy6io07O5WcefNteeVKR+5tx8wceTzqGfE7Ata9j/bvOa7X/Pf/2s9z//WedzWZU6YCWVVcl8LoiEVAyUmSW2LSeHjzh89IiP79xmujMlrwp+7S//uuwpeUHUmgcPH3Lp0mWsVqDMsL+7EPkrf/23+Qd/93eGqsF8OaMqCnyImKipinIwsT45OSEGP2BFfadtWZbDsxaJPDo6pG5bohKC6MVLl9Ba8+D+A1QM3L79EaPJDrVzrL3n9u1brNuWg8sX2b9wQLtaCSHDu4TZSHf+aDRKeYJhvV5TVRUPHz5kNBqJT4oyQupI17snrzRNw87ODqenpwNOqDQYq2k7T+gEv/ylX/llfukv/iWUMYQYCAF805Bnlu9864/59h//K3zdMspzPvzJO9y4eo2mXtO2DVcuXWRvZ8pHH36IzTKyzNK0Iu3RLBaMqorlcineJXmO954iz6nKktlsJnvH/j47OzvcunUryf6JRJ5rO1brFVprFifHyUA8Zzab8cYbb3Dj5s0kMzES+d0QsJllPBox3d1LJtnie+QTczjPM1CBzrXP8YTI+NSGdFFQvQTuAKkakOc5165dwzdr/vHf+x+4ee8l/uJf/1tMdvZFA6jrOD084c77H1Avlqybhnq9pGsaMdvwYWi/yJJxhLCFpfJujE7BpybLRGIgsxqbyc4TttpdgY2RjobMZNR1DTHQLBfYKK1P9WzGznhEm1nZII3Go1l1HaXS5IXFaoXRhiwFnjH0G4+nyjTv//AH/N/+r+/zzV/5FUyWM92dQr3CzRcC/GqFtorMGnSWACCzYWf1Q+QUBJzxzhMCaQM3UvnoWlrnGI/HtG3DqCjQ0aHaBqMUhc2ISknC39RgtGhOWYui15DMJPGIYQDc5WF0+K4lyzOsPgvU9cfWsx5SGkKMUiTokwmiRwePRhikOh27tgo9KrHW0DYtXefOLKi6b6HSJgn3a4rMkluDTfdZZXaQqhDcURiq2ahivVwMIZsLHpeAwM65tMhuTJNiCrJ8K5qnWvfABlK5i2cX9ecJ6F6UpDXCkOB90ugDhK5tBNhDkYeWDMj2D0QGRUXRgO51sRP7dUiC1KZmPZjVxNQ2up0oJamDJyaRqZoaok8FEobXDK9P7y/3V6UA0BO7bigQBeRzXYgEZWicEy0xkglW9KAjzrV0waHKiumFy7T1mqBgNpuxf+Eis8UpGYHxdCTB3xaWqrXBREOe5yznC2bzJSFEJpNA1JZJNRGd9QKy0ZhmtcCGKCYDelMY0UZTFDl5Xsj1TeCbJMeCCfrgUeMdXOvQaZN2rsV1LW0j7UXSpuJQCcC2WuNaj9cWS+ruDdKSCp7Y1EPhR2mNd1oqw4n1olJhRmmFSgCE0RrVM5owkuQOt30T3scY0XnF+MJ1bD5Cm+fddjToiNER1yyw5ZRt6ZBPk3CdHz3M+iIPpTVFWWKzHN/VGGvxXgoj1ahitVyS5yLj1Bf51lGet65t8d4nExmRZuolYgbjT9U/TxKg9QmYJLuyh/QgL2w0AJ1zRMXADo4xJpBZKtobQCy9xkmBJoTUlt2sWSzmfHzvAW+++Rb7Bxcoq5J12zCejNm9uMNoNB6YgVGl+kmMzE7nPHz4kBjhtc9P+OD9H/EP/u4hi/mCnd0ddqZTtDbs7u2ijOa9d98ly3Mm47HIDz14yMnREbdv3RZgIILJM/CeL/7CL3D56lUOLl2SNczmYGySIU/t6vTGImmt1WqYZ9ug17P3DbUFvm0VI7fwlshAVHjiRH5eQPWnYdH0f/ezAqR/lq/7uRxS239snDmnqGQPxSdANMXX2YjJpevEriEzGctHD+iaDlM1WJsN+r4mdfGgc0Ji72H1AHpqeSAldksa9NvA6vbxKKWJKhI0Sfs2JhBGnm0T4XEJpx5oTScct96PXis1XQitpVsGhVZ2k08AqE0cvLWZAIkt7D3BCTDsk+nc2frJBgSXmAdcVKhqzKgcsZ6dkPeSTmoTkwio3YNQcSBDEOV59kmySSstHS3aYmxBNpbktFme0rYNrmmSj0cCnHWv296vpwFiavs2hqKqhjglRtBpHbZlRbmzQ1ZOMXmFMjbFWPrM866AqC3lZBeDZzU7Qq9XIrHXdXRtAyhMVlLt7qHzgszmGJslJqRBpDIAY8knu3LNFiesDx9gtOQJmAJbKqIWeaLHMOJ0LfsIU/H0NejFepbTWrz1TG6f15n1XEW0NZRVRTUak1782LV64qecK8RsYudIs17x9g/fpF6tyIzl7q3bzI6Pic5BCMPcVD4SnCOvqhSbmyQ7c5alGACTCDRZKoCEEMm0JpqMIi/oOpcIB9LNq1dgY8FquWK9XHH46NGw+UR/1sOmJyTIv5trNpyj0pi8wLcryU3DRuJCijw6SR/qodiTplfSNYeoUh6Rrl+vHxwjtJ2nax1d2yXzuS1gmEQoAdbrteSBSqQjzNYaVOQ5xmQSsyQgVzoEBbz1XZe65+Q8hc2oBtM5lfCELLMiFaIixlicC0PhLITAhctXWSsYTR5wfHTEum4gROazGWZ/j/lsTmNruUdRIovTk0PyqkJnJb/5N/8WpixBGS5cvsKjB/eYHT/g4PINAnaIRuDJUk9ni9Jn52I/zoPHL9bze3acL1g/iSR15vk797t+PAkg/rTXZXu/DVG6WVWIYp6qgBhEYlUbQtdycvSQerXAuY4QHKenx7SHjq//0i8OXdnT3R3+/+T92bNt2ZXeh/1ms7rdnfb2N/ssJIACUEChCkD1JOUiKbMRHbZC1oMVQcnhd/vR9j8g/wN2WA43DIfoCJUdkuWSKVWxJBaLRVYDFPpMIIHs87an33uvfs7phzHX2vucezORCZIisrwyTp5zz9nN2mvNZoxvfOP7prMdMSMbzGEJdL0QpQ4OD/itf+uv8M//8J9yen7O/mLO8mJJ3/VipB7zyePjY7pexrgx4n3TRT39tu24WC7Z2dmlrmPnj9l0DV9cLCXeTxLaqmQxm9MDxhqC63l8cix7N4HO9fjgaZ3HdQ3TSUbTVHRdQ13DbDbHGo3SU5qmYb4QH7CdnQXr9ZpJNN0e8hClFEVRsFqtmE6lO7Cs1mR5zrosSfMJ67pmvrvDZz//eXrnSJNUOmmj0uXjRw949+23SY1hdnjA2dExO/MZq4szCEH2TO05OnrM4bVrlGUZZfMMWZ6xWpWg1GiK17YtWkGWiSxHkgge2XUdt27d4s///M9Zr9ccHBzw4N59rl27RpKm2MQSFKP28nQq3e5d26CtJgTHp1/5ND2Bvu04Pj4hKMFQldG4AG3b0/clxhryPBkJcx/l+Niaw2rY7EKMZ1EjewgVyIuMu7dvsbpY0qxLXOvo2o6iKPjxj3/M22+9TV2uwAWMQoTbjSLPUqyNgHBkJRprMNagjchHWCNGbUaLyPugKRQCojPohW6utJVgOCj63lHVFXXX4Xth1Hk83jvZDBRkmbi0EoOzG9dvcPzwfjRp2tZP9XgXsNaASsiKlEnbUTc93/3Tr7OqS27cvcudmz/He2/8mNwK6Cyby4ZRMawhig3wKowK2SB7J+L5NrGs1yXBxc/poSsb8gjKKaMIWhAjF6uVWWIxiRFwqPcyXwNobSO4G/VGw1CtClgNSgesumwWtA0QyO9i6htGfjaD2RgReFRKau1CblMoIyCSUZrMJhtmI/HvOo6reI+1MSSJJjHRjE5BUGrLWVehrUUlGc1yBa6n956u76ibFhcEGPbO4UOg63vRmcqkPb1rW1TwshAnfoC+xqB9uC9DUvVRGLafiCNWRpUW1snA/LzK2rlUsFAaa5QUORKLJmCyglAuUVrhg0N50MHEnE+PkguD1IwkDZv2NjW8V9i0s27ruW0DvyAAmBle8wMAYhUzwaFpVQ+JaAxSe5vRe4erO7ST7oS268EYQprQ+UBVd7QOJvMZtfOc3b9P4lraquTg4IC+XLKYTmSO2lTqCNZiTQI4QqzQF5OC02N5f2NELsb3HfW56DYN4zSEwM5iIvM45qrWGrLoqjoAdYSoabzFlugwwmioLlAq0EWGUF3VNG3HYLQTkMJWmqaooEmNpncOqwM6sqG8C2jtaVsB0wfATSlAC/BLlLlQccPzWywzrZMxuRw0l2X+DAaIHp1NmV97Fm2zS+ProxVfHG1disFPn2CSgu3A7ePMyX9VgNa/qWOcFkrQUBVk3bxx6zbH9wfJBo/uZe9MswxQeCcBQa0akjSjjRp5TSNtjN550ZzufQRzfazC61GKwkZNLWEb+Wio4sd1ZJCfGIrHSm3kXobHiGTQJhn1MUBUWgvLFjWyINuuY7mueeGll3nm2efY2ZnT9w3nZ2esLpYopcauorzIKSY5RZ7Rdh2TaUGWZTx8eI8v/+Iv8Or3v8/uzi597zg6PsFay6NHj6jriu9+93ugIM9zTo6PCD7wqU+9wrO37zKdzCiynGACr//gBxw/fsRXfu3XuFiekxcTdnb32d3bg7hvBufHz46SlvswJMbxvw9jnQwJ8vYYvWTotwU0j6+xNTj+Zcf31ef/qyx8ftC5fdjvrz7mE7kXh/F/l44nkk0Q07bgca4luA4VYhxY7DO7qYSpmmaUx0eUq7V0ByQJySSnQ8xnetOJ+VqSELwdgUmtNt0tw/5Q19U4T7MsG89LawNBoVWIRtA+JplDrBQASciSJGGjZSGfacPoU+PerLSNLeKMbD+zvX8PFHuI+8+GiSiyDk46fVxP8NKFF/ym8D8C3H7ErOjxqLQgncxQ3tFfnJEG0RIMSuHRYCXvoO+GuzDGsiHGHL4XIHrYU5WxwtbNZuSLA9pqRb06k6S9j6Y/USJKwpAQQWVpz1UaFJpk2EONSAAQwWlrE0yWY4oCk0wEGN7yx9h8G9YDg04y0sU+KrHU5xd0TUNAkU1mJFmOTgtUkhF0lGUzVgDs4WKN90mRTedo11Gen7I+fchUG4JOBORKL6eMT4Kkw+8/2rj/WT/GJSdsWMPjmhVi6XxrX1ZKcf3ObfLJlOCflJP40PVuKEQEj2YwWfO89u1v8ep3viWPc47QO3zfC6DjenovcyIzCXkE/LVWka26PWcvr6VKqUgEcPEjyDy0Nkr4Ibmj6xxlu8aXJeuqpq5q7j14zLqu0VrTxq7aIT8bvgbQpigyOac4p22a0va9SKxJ64A8PniREdva8+S6KIKKBtriBx0BY43yYqomMhEh+s701HVD33thPzdNNLKSe+j6Xrpwo+avQnL6NElIkzSazgkoXNe1FOCNYBHJpBDwq+3JiwlanY0AmVGaPBffgkEizgc/rqkijagEePeOzntW1Zovf/WrvPfW20wmU3xZcnGxZLVcobXG9SKd0/WdxBROCvWz2Yzrd+7w3ts/5pmXXhafEKVY7O/x+PFD8mJCMd+LOslqK2RWW9+fXqi+mgte/f5JIUR90PG0z3upePEBsdTTrtW/DFi+eV6IhQ9HYoDe4fuWplxRrpa0bYvrOvI045233uTg8JCzswtWZcmnPvNpQMzmQu8xNpWxh4p+T35kqmtjcF3H22+8ydnJCYvJFJskvPDi8/zgtR+yXK0hSNHEGENVVzL+IBIWY7d4lBV9/PgReVFIoaPz9F1H8J66KimKgrqqmc9mJMZwdHqGNoaDg33+/t//+xRFgfOOv/V3/hb/z//HP2SS5zjXYZKERKVYm2CNpmtrdPT3ybN0lKvoezfuYZPpFBuJKPv7+5ycnIzFoKapmU4mLFdLprMZXdAs9g75u//j/wlpMRFvFifyNokx/OgHr/Nf/1e/y+r8jFkxwQQhg/XB0TvH7du3OT875/TsjNlswenZmWgrNy2TyYSqqlFK0TYNTV1TFAUH+/us12vWqxXz+ZzlckmWZWI6aC3L5XI0Ct/d3Y0dwNKRYIyhrmtZV5IEHwJVVZOkCQ/vP+Ts7AJrLXefeYa+79nZ22Vnf09AYGVIEh8LfB1GG/K8+Mjj8+PJSoyDeogl5D9jjLDVXEtbL3nmhec4PVnyJ3/wB5yendN0PdYmPLz3PudnJ1gVSKKRXJokwqrVZgxaxoqbkUDGWiv/3tLlHVhMfaROt32Px5KmBVlqcG2Jb6UqUZVr+qAIaLpWaPKd6wA1boLBK5qup1yu2Ds4ELZwnGhBbRZSbTZJr9WKPEkpJnOSNKNpa249dxfXdSwWc4z3BNfHBFFH8HQLHL6ysATvZBI6T+ccF6s1XdMJOKwQBqRN6DrNYjEjsylDDC0AmyToTVnF9nSRjzDR3XBwOZT4V3SatNaYJBmB4hHkQYJaEzd5iYFi0MLlRVQrqRaM2mME9MCciJ9PGMCGNGyGnIoijUMybZQGo9A2sjaiNtMAMo6MtuDpy+XoNiYBgcM7qNYNbdVFvZuWvhMpizRNyYuMJBUwS5J3P7LDxABPbVoStzYKCaK2gsBLc+GTEewOAcrAIrhqTjccl4JII0UGgqfYuUY+mVCeHTHNMpz3UT5ENiGDR20Du3EsbQfU2phLrKXtttOrlWsfW98gsvJ8AMMHVr6UEjmUMZaPethGa/qugd6jUTQOQlCkkzlNG9mPvuLmobThrE6PmRsDaYpWCezNIHis9qLdaxMsomct48VBcGgV8FEv+/DaIdZKK4keuh6Cw6AwqWGSFYjumILgMcqQRQOssR1wqzAjybGwJVogX8yoL06wwdENwW/T0jQ1Vd1ibRoT0xDfP8FhyNOcvlxiVAreSQFHS+eACsJk6BrRC1cR7LKJMI+NzWJyLJqrAnhtkiebpri+Hc95BPuVZbZ/B5XkPHUCXRl341gIwsRxfUe9XpPnCUGtxKhJJ5txAU8N5D5ojHxSj8sxqcwtj3RpKGPpA3TOCWM3doV0RlzC28bgQxdZ+3o0ItV1w8mJ6JflRSEsY+S6QzfeR+lqCfRdiw+OoiiQJDKWAXw/tmELSOzGOz1oxTs3GMNKEjkUP2QNiPFE8GitSFLLdDrh7jN3OTu9wGhFag0He4fMnnuWLM1QRtM0YnyjrRkNIETqxbNYLDg+OuG9d94FFN/4+jdo257VusRaw+nREbdu3+bF55/nvffeY32+5M71myRpRugdJ0dHnOkz0f8qMn7w2ms8PDrmu6+9xt/8239bTCLOz2namr29fWEWGSOarkF0UIOSRF/WXjsmx9vHk9IbcS+NUJyYCg2FFj1eq2E9GPdiLpsBDq91dR/7oLlyNTm6+u+nPf5px9Pe7ycdHwfU/iimez9TxxD0XVn7NkzZ4f4FCI6uXdGuzuibCoBksiCb7mDSG5h8gikWFPM9JstTlqfHNOsVq+NjKZQY0f9P0hSbpZgkF/aJ1oSBdGH0qFGfZXk09g1PjJVh/bZJNupzEsem936c61IkvLxfQYyRhyKiVqAjIBlbZ8c9nstjaYwHtBYQ2AsoHHwvevrORQDdXxpbV/ePgBS00Jq+XJNqSKwmRJBPtJWR1+raUUpNDSD4sO86h+vlvZ33aJNg0xSdZqSLQ5J8xsWDN2nWF6NJzCU5jQjaKyPnIoY3XgpKWouRjXeAFtBZiWGdSVKUTaKUUpSSuDKOBuBdKwjKoPSERCfYbDFKbshnigyyIY4dPuNWHiI3RW6xSSx+OkPXK6rzY7RJmNiE1liyJBdG2k8a9h8w9z9pBdrxVNUmTh3H7aaeIbkUkqPcff55isl0ZFEzPuZD4h8v4Erftjx+8ICua7n73HOsV0t+/Npr6N7Tuj7OV481mnrdyJjMUx6cPuZwZwevoQuOjI2cheDOl+fa8HvXd2hr6SLQC0JqsNaKX03VUPfCFKzqVjplAsx393jhhRd55wc/pGkbYcfFWEGbTVeB1sI6tGZgz4sealVXJFqJpnk8Hx8LRJu4IIzxgXwJ29k5IhAva6ZDmP1972iamq4VgLhtO7quH9mQbVtH03lZU5xzWB1JSUpYj84HEm3ECHvLAyhJEhyeNEspL85Zr5Ysz8+leBTXIpuIFvtg1A1I1561ci8UOLcVK6UWR+D67ds8/9nPsHewz/3373H63e+yvLigKUuO7CYHGve9AFVZcn5xxqOH9zk7Pubnfv7zFLMZt+4+x/7uHg/ef5/bWUGaT2XZ3srFBmB4OK7GDB84Rq/EBX9ZjqeBwEMKApfB8u11Tcb30PXxJGj8UQ/xfwmk1khB2LWU5ydcnJ/yjT/7U771re/wyqde4fNf+AVe+fQrlOs1ru/46te+xu3nnqcum9iBsl2oBR2lz1wr3T94OH7wkPfeeotZkROC5/333sX3N2KH4RpAugmtpW3akRWbJELsG0yqjTE0ocG5nqIoRvNzazTT6ZzHjx9zeHDI6ckxX/3KV6i+/yreGp558SWKPB+Z87fu3uGrv/orfP3P/pTbd29TVzXnZyfsLhasV0t2FjPqspLc2Ga0nXRW+eCZzuZorTk/O+Xg8ID1ek1d1zF+URFYLWk7S5EXdJ2jV4piMiefzAloXIgGtk7IZD9+7QcY4Etf/CK3b93EK3jvrbfQiOTD8eNj0RdGujansxmr1Yq8KEApFovFWHgaZPnK9VrIit6P57dcLrl79y6EELWJa/b39zk/P+dXvvYrfPtb3yIvcpQSw/C2FTkIFwJJkrBeSVeo1YrgnRT6jRS4uq6J3bzy3CRJZZ0Kji012J94/HSyEsOh4vYXZ1Jb1VQXS85PTjk7WXL04BEnx8f0fcd6tUIrxSzPSK3FJsISzpIEbVRkCgsInCSWNE2kRUMrbJKgAGOUBJxpQZpP6D0sl0vQluv7+1y7do1qXfLo3bcouxaVGLxX3Hr55zg6PWex2EWFQJEXLJfnrMoS3/XUyzXgUXXFznxKdXHGznyKNhtNsmFR2DbQISiSRMBM1zWY4Fk/PqLtOpQL4GQChIh1msja3NZlAzbMqwBNVVN1PVkxZZJNqKuKrmnJ8wQXPMF50liZbNtWgn0lbThN02KMxXlHbjPyPB8XdOc8nXLSsoAGtvXgolxDPIbKrYo/+4FJEf89JLnD812Q9ngF4tyutsZG2AQJ2zo+A9h+lSUlbW6Dw3PkW2kZG8ME22hfBrreUVU1becp1xVN1eCdp+0cddfR+0Ca5Sx2dphMJuT5FKVFvzT4CGzHjTsE0bwZDUkun+4Tge0nbZOU0/1o56yUwqYZ7qzBtWt2bz3H/jMvU73+bZoYCA7a1WmWIVpdcv9iheHy62mNc/3Ijhg5FV4kXgbQWFhNslkOjxpNnSKIsq1zDpeDFoWwLYhgvgJyo3DI+EpTYe8qV8sGgiNNFbpdoxXMJyl9gJAIIN35gLcZPi1IkgTflOi+xrlaikZKkeUZATAYgg7kkwmHNqEsywiGCRNXm2gAEZNpo6T4NegLSxEnXpmwzaKOQQgKPSmolmco19N6T1vVtHVD07TUdYfrHVo5rE3FZEZJcmkX+4An1Cvq9Yqd3b2RWdz3La5cxQg8JhHGYpJMHM1NKmuVHgx+NgNqSEBc244tjCpSoQOOdLqPTScDT+HymEAKPR6RwWjK1fgI5z3ZZIJNUhaHNykvjlFNjdMrdD4XE53wJOjy8Y5PBgOirmvm8/mlgJWYiBIC2lqC0mLw2LZoK2BsmqV4AlmaRV2qJJrMJbRtQ7kuaeqGJElpu475fB5lYtS4z7VtG4sMrbBfjBoDFQnAJACBDagEXNI6HNtFIwA8tG+H4NBajWaQKiZ8NnYMGQXleonvdjB4urqk0ZAYC3ENWK2EYVNWpQCyAbq2YzqZcXp2zqOT8+iYbqnLFXuLHabTKbOiIITAg/v3sUqzN1/IfF2uRKs7BNI0ZzqdsVqveOaZ57h19xn2b97gf/A3/ibzxYK3fvw6D+7f4/j4iGefe55JMRHZqbpj3a/I8gyHGG/qxIyu4FeBrG2Xdu9EAiTQb2mhi0O6xmLURuN5YCL7bZCHJxO8q6yx7eMqMPeT2DMf5dh+3r/qPfIvS3I6joPhHhPwXsAMW+xgJ7vC0q8rzo/vY40hLebs3HiObn5IevaApJhQnR+zOj+nKdes1iVaabI8JW0S8sLh495i0wxMBIpijKOMxsX3ZrtNW0UGARKrgkJpj3cbn4oQBhkZE/eBD74nMt8/mJW+2eMGP4ogDOEQCMHhuk40V/3G62KsH2699/brj1IOuBHkGZ6kY8HGAAQ3dlMx/l+0z4P3+L7Ddf0IABhlUNaSzvfI9g/xXU158pCuFdZw3TRSOLYJRM1jUSwTkom2CURwXsf9R0IVHfWjtXTGaRPji6gdOnA7P2j+jslEik6T+IttGZuhU++y2d5wTWQt1nJNvMekGcVin76pKc+OMPkUZVKSvoF0OnKWfxII/ElnGUooE2lQsYC+Pd5GoAiFimaq851dUOaJ8GKbDXt1LoQAP/rB63zvL75Bu1riuobZzgznPeWyZDBaLYopq3WJ8gIQd13L+rzi+9/5Hr/2ta9hjSFRChvnLeP/YyFyPBeRBfTe4/t+JIIoJd1hidW0SjxnbJoQgKZrSdE0XcdLn36F3f19zs7OuViucG1LXhTk1kIIMY83TKY5eZ4IOUgDaOqqjDx4MT0m5np6K/fzg9REIBoqRyYkW/tLJDgN4K8wBVvqusU5T1239J38rqqlVd1FNp6NhLSAivIRKdIFLUQpbQw2SUlTIwZ/mXgntXVDU1ZCOItt923XRUnMTbfWoDWaJFY+u0LkcKLRWFPXLC+WeJPx+OFDvvZrv4oKjv/z//7/wGwxo20qXLsxtHMECIxkr8RoXNugneeH3/4OF+fnXL9zl53dPW7fvsW1G7c4PT/jRjFlKDiPI25T8QAug50/6XgCA/oEHB+2Dn1YPPRBa+7270K4fE1+Unz1tOs34Byub8B3dFXJ0dFjXnv1+7zz3j1+6Stf4b337vG9V19jNlugleIXfumrvPTpz+B7h4+5YQg+ziUpRngnnTaJtXRNzXm55n/7v/7f8KmXX6IpS+7euUNdlbz66qsYneCD5vT0FO/FqPr09JS2bTfKAPHzLJdLprPJyHYtS2EKJ9Fg3jnH4eEhTdNw7fCQ+/fvcfv2bdoQOD054fjklP3Dg4hdwS995au89uqrnJ6dk1rLYrHDer0ky1K6rmM2m40d9T548ixHOwfIPLp+/Rrr9Zosk0L2yckxWZaiVMru7i5N0xC0oqobinnBX/8bf13WECPXvq0brBaS4Fe++hV+4Re+wJtv/ph//Pu/T2INeZYzmUwoVyWTfIIxhjw3LFfLEZPY39/n3r17IzaRZRllWV6Kp4c8SboLLF3fU3cdp6enzOdz1us1RVHw+g9/SO8cq9WK/f19lBIdZSG1OubzOavVCu89i/l87NwgBNarFZOdnbGg5qIKAbE74uMQK34qWQkYAMTN/mcCdHWDq1tWF0vuvf8+9+89QAVHajU3r++PjN8BADFKkSYJNpFKhGhtJqIpHKUTzMho1QwdPF29ZtU0tL0nn0zxKI7vv8s7r36bRG0Fhirh4PCQxyenIprfNJwfn+DbRrS4FMymU4z2pNaSJ9MR4BAQS+FCiKwCAVQHcEqpYWFV4KRFBq+4OLmgVZ75zi51WTLZ2WO+IxUOnIe+p14v6btuDNaUkoR7ua4Isf2sjcL/rm+l6kp0Zc4TEpsQggClfSeApphPeUKqx02v63pMZBCiYmtOvGHDEHGRlSgkCz1Wa9WAZg1BvVKiHe2iG7zasJCk/UXc2bXSkTEloB9uAAbkGg4A8bCoDodTAawetXakK1G02xSinzZMsgGk7zpH0/Z0naOuGjGjC4qm7ajaBhc8Ns2Z7e4wXczZ2d1FW9HjrM7PRFpCKXSSkE8KkixDUob00nt9UKL7Sdwoh+MqQHF1Aw0hgEnIsoKLR/eYXX+W25/7ZZyxnDx4n8fvv82k7UlMYDKdkNhEWi0HgyoTU58tcHMI8IbxqJQa54AekyBhCw3Fk23Diaub8Pa/QwhRfmWQtFBjgdw5AaTsWIUfJFU24NXwWt578D56wBmUd/i6oq3XqDQh0ZagwiX9VLcFbg2Jrkksi53FGLgOx1B1HYLwbb3H4f01V4D1gQECdFWF6jthIPQ9fdRVa9qephW2Z5oZcS9HZHJ6pbh+6w73fvQaWZqgK2FmTBa7srm1StqYARSR1ZCK6Y6RxIC4BgSG2HLQHRwYV/FnhlZV+Tw2zcZY9NLsidfJK8X65D4P334d1bVkiZiKKa1oF3vs3HwWW8yYJSnrk0dQLdFKYfMZXm2KDB8nwB1P4SM/8t/sMcwpAcMVEgqCV4qgAtlkys7ePkvvaMoKvKfvW9ERTCyqyHC+Z2dnwbl3tJWASH0QwOXiYkmSZjgnHR5JYsnzHDO6jnspzKJpmpayrEY2TJKI4YM4BYPzAqTYKEPiejFqCTFh9FE+YmgL9QGSNMX1HX0vhcsiz5lPJzzilL3FDEJP21ZolULwVPUK1ztcgD7OrfVqHdtopf20qWtJ4Bys1yVVVZIlhtXFOafHj8U9PATaphWwPAZgxhr63kkhyPWUq6XoIaPwWlFWLcamKJPwzAsvce3WHd555y3eeONHPHfnLrPJlLPjx/Rdz4+Pjnn25RfZvXYwDv6BEyzFLmROhYAKDu978I6+6zk/O6WralzXc3F+xtHJCWjNF774i+ztHRC0IQzJtWaMrUBtkDOG8SJvdnVqKMWYhMtDnmS/fByA54Me+7Hm5Ic8/yqQ/knYe4dPPgToH8bGdt6R5xnrsyPOHt1j+fgxrlmTZAmz+YK0mJPO9ih2Dtm58yL57gHVxRmT8xOa8yPW56eUq5quqfGuoeu8xDVpinPSJWOiLJDsQcJI3ZypGoGDzXoa98ugIegRnJW/bfauq/uxGvZftWmp3r4iY4vq1jEkNMH7MQYXneE+EhU2bFjY9sJ4UgJN4gcdiRibLqkN+B3/NQDlVz+D96Jr3A8tng6bJKT5BDudk+9fJ80WLB+9Sbs8k7h3aK23liTJsEm6kYcyQ0FMrps1djwXJR9mgCI2reAB0VYdx8oHM3ZHsokaYKBYjtVbnxsYmGXbn1dphY4MlkAQhrEKJPmM+f4NLk6PqC5OSfKctizIknwcNx9lDj6tWPVJmLsgxcywRaS5REJ44jME6qrm8OZt5BoPr3EVJR5ffBODKHjh5Zd44/XXeHTvHZQPVNWaSZ6hg+xJQYnepWs7XC8FEymc9Hzmc59ndrBPrwLGbhm4eS8MwiAM1+EzYGLuB/i+H+/J8JUmFj2foY0lySpWZYlZl1RVRY/i8OZNXvvhD1mt1zRNg/Ke4GWNKYoJWZaS5Sl5npKkGmMHlqUXg/TgCWGYD1sgW+9iQWrQERZXDCEFMeZ+KmpvJ1lOU9aE4KmqOrL22jEfrKqGqirp+h6ticSzdMxJU5sym85JU8tABR90v5UxWCuxjbEps509jh8/pmkcq7Kl84q270eWsHQ4J+S5+IUMcZswhaVjQUWPEY0Uqc4fP+S//If/KRgNwdFeLLm+tw9ecIcktRRFQQhQVxW9c1IQWC7pvWNZrnBGsX9tn3de/S7FdIrmF7l+6yaras1yec50utgMOhWTIp6+D/1lKLxePX6a3OBp2cEHrVlPi0k+anFM5ptHBYk5V2cXrFcrlus1Te/IioI+wDPPPc/5xYqHRyfMZjP+yR/+Ef/dP/1nHBxe41Of+TTXb91kb+8gygIO7w84z/nyhLd+/GP+d//xf0yeJhzuHdBNZviuRyvNarmibXuqpiXPxUitrNZCEDGa3nUj18tYTZLKOHfOce3aNVarFVkmnaW3bt1iuVyO0ojTYkJVVVy/eZNsOkWlqXTV26F45jFZxm//23+L/+w//b+jgesH++zu7omkhNrMq/V6TUBRVRUheCbTCdZq+r5lNptS1xXHxydkWcpisRiJjdlkwnJd0rie3/5rf4X5fAba4AN0TUuaJGjgjdde4/UfvsY7b71FYjX7+/t4J/I99bpEAScnJ1y/doPj4xPBvWKHzsnJybjXKyVyNANWKFiVGM4NuX9VVXzta1/jL/7sz4TcUpYsFgsB2KN+cpqlY9el957pdIruOs7OzsbXOTk55cWXXiJozTqyvPEeVCTjxRhICpvuA0bh04+fUlYiVvmjHXcIkvS0TU3btayXay7OztHKk6UJO/OZVAGcMIWSxJJoK4u1tWS5jRU2G03JoqB71MkNWtpJpOLuogYpTPICpTV926CjJksIAR0ceI+n4eLoMTQtAUW5XpMBaJjPigh0BNI8pR/cF71MmDxNR7bBEFxqm9B3rWiuxF1NByVMwzSjalum+3u8cOsW9957n/neLrp3lCen8bxFg1RrRZal0o7iJdFPjWFvOhF9kL7Hq0BW2NhCLc+x1sYJNei/bJh7SotovgwEh3N9ZMUauj6aAcX2hbb1JIkhSVKsNvE6i2altP8laAVparFWNE+CD9Rth84m9OsVRWovJToC8BHB5IE9pjFXAJxhrRwYDAppvZV2IYW2YkCl42s71xOCHnA+nJfHSjt9R11H7a3YPlQ3DXXb0veBrJhQTKfsHexzcLiPMpbOKR4/ekRZV+xeu8HO4QFVVVGelCQmYWd3H5NoYRcrUSgPQwB/dR78NJPn3+DhvUgfXK0ehbBpT94+nFck2ZTV6bv88O0/5Nrzn+bTv/53eOO7f857b7yB1xXz3NLqGmdEC6u3VtjDFiT5YtQKFr1S4qIFSg9J3SZBQxt0PiM4h0EqhbBJRJ8GEl+Vp1AxyQ1xgG3reocQtvRRN23dwwLcefBKtAF715LaBGO0sIshzqnLBj4hXHZ+H0KvbSB4OL9h89g+n6tBxMDavMSqD+IgbxQiP9O2Ij/Txfa51iEG81rYSVGbHWvI5rsonZApSNKM6XyBNeKs7HqHThOSLokO9ZBkGcYmIjej1WiqNabU4/lGGZqtouEYfF5K0ong1ObzKCWqxH2z4uz+2yR9HeU0iOxjRV+tuXj4HvMbz6DTCbPDm1SnD+nbNcFoTDaF8JNbXD/oePqs/tk7huRjc0ihUpAbhbEJO/v7VBfnZFlOU64p8oKmEyZikhh8luD6jp29faqqgb6nj/NyXVbYqNMHYpyQpmsZv9ZExqAYhg5FDWMk2HFZMrZvFkUWzVcGJXdZs4c54KLp7NA2SnyM6/sImMhakaUpi/mM69cOSK3l9OwYrT1+PsMmVpJcFbUOo5HT4Ew8vG6eZVycn1GuawnO+l5acLUAXKlJMUlCkefkeUHbtiwWc+bzBXUt4HfXdYQAZVWzqmvWZcvn7twlyyd4NCbNmSYpn/7sZ3nz9R/y/nvvcffWTfqm5OLsgq5c0zcVJ48fsX9wTQzs4lWR6RMDeO9QeKrVBVW55I/+yT/h/jvv0lUNs2LC+fk5Ok04uHGdWzeuUy4v2N0/JMkK0jSLBbTB7FPW8k3b+Eb/fZzD22uNd6N57AeBwR+UVD21oLj184cBoU8DjD4qc+kTd4Txfx9ySAdFuz5jee8NHr/5I0yQIqNzLedVCTxkfnCNdn2OnUzJJjN2bz6DP7xNUy5ZHT+gOjuhXl7Q12vatqauKlzXk+QeFz07MGpsfTYmESaxHgwVN/H92EGmNuz/oZgwGCYOcx0ukwu0GmQMnpScGJ4H20n01uUawFnCmHxdvu8fppW5ea+xUW0rBhg8M4Y7orfG3FAI832H77pYYBPAN01TstkCYwtssaDYuU67PmP98F2q8gJXl7RtlAKJ0h5ogzbJGIsM8e/4ngMqplRsqd8Ccq/ul08pgj5xTdmMsoG88mSUevnfm8KLmGZ5H+XhjHQVKaXI2o5mfUZ9kaJtRpJN0Nl8C2R/8ngag2471vlEScPwlDUw5jVDvDdc/LZtSFJ7KV7afv6lcb/1GKU1aZFz8+4d0tTy7b/4Jv2qEg1r7zGpRWkoz88JrhfN4b6P8bzhf/a/+I8wqeH73/xzXF2itHiGaBWl4eDStR/isv6Kvu8mTjWkqTDYldIsFguquqE/X+K6nlvXr/Nnf/ovcL0Ug8VAXMzXhlw1y1LSzI4xwZDHDp9/7MLd8hKRfWrwKhBPjG6I1d1gKrdhFpdVhe/FM6NpWrq2o41fq9WK9bqkbVuyTLrgsjQjLwq0EfAkSzPSTOZrIJCkJn5PMdYwmU1IJxN0XrC7f8i7b73DdGeXQ2V4/9336Luetm3QWjGZFiMD2oz7qRjTyUdTUkBCiQGZ91ilEUqSou0cz92+iYsdx3mex3sVjfmix8N6XbJaLTm7uKDtO06OjvjBt7/DYjFj78Y1jo4ece32bRY7+xzde59JUYC2sLVmXx2ffxmPq+Suj/qc7ePDAN7L+cyT7/Fhscr23zQBo8F1DevVinvv3+P4+JjDa9fJJ1Nh2u4UKJOwrpe0faBuW175zGeY7yw4Obvg2Rde3CqquLi2BF79znf4b//g93n9h6+zO52RZxm+FzkVgqeuaoILuN5xcX5OXdfj58myjKZpuH79On3fj5II8/mc+Xw2yq0cHh4wm81GI7hr1w4py5L5fM7Z2Tnz6YzTkxMO85xbh4ciT+GcdK066YDY39/npZc/xYN776G05rkXX+A73/g6eZayWq9Hz5MBJ9Da0EfAVSnFxYXE/wcHB+zs7HB6dor3AWMNLoDJMrTznJ6c8OzzL6EIWKNBiUnee++8wz/6r36X+WzKdFKICaeS4nGSJLi2I00zvAucnZ2htabrOikcGUPbtoIfRHmNIQ/JsoyLiwvyPB8B9OVyOd5/70SmL89zdnd3KcuSSVHgvRulKdI0pWkasizjzu3b3H/wYNw/87xAa0PTd0yKCUmaCmYydsCHEW/R+uPFzh9bVmI4Ij67+Rsimj6485XlGghM4gcHmE0yYcsZyNKMxGqyNMEmJraoRpuzCA4rjGh9BdkubGLpuoBTCnxPV3V0Tm6I79pR3zMEjXMCUBgFWZrQe4+e5PjexfeyY+VU3lOTZ5K8aR2BlfiZ+zGokUqKCkNLoCJosErTNjV902FC4I3XXmWaZPimIkkTEkNs9RpYzWLKE+wGRHHO4ZS0w5vEyAaxpRO1AV/A9T4K7AuY4nw/6kgmNpENOGiC19ASJ5JUOIuiIMsmY+XWB7nuWZqTZQk2z+ldj+9a0fusKgKxitt1zGYJjidBLu89XqsxIB8r7NuLa9gE8GN1A4OezAVcDgG6CnwTHy8A+KDpJJUgRdeJlETXd1SVsCXbrqMqa3onrVPFdMLu7i7zxYLFzgzfNXQBelKmB3OuXb/N9Vt3pF1qdY9qtaKxa6aLGZCgEBabRgrKbH3WzZj/ZFVah8XuicA9jgOQ1oTWNdCscB50UGSzGa/cfQk73Ueh2D044FOvfJrq7IimK6nqBq06bJJiXcDagA4matwMAafc98E5GCIrIwbXemD3aIMqW7I0hUQqlcJGjXIMesO6CzHpHiqlYq4WP1/YJIFKm60gPAZpuMjW8wwMqt7FgBswSkvrXtRBV6HH6MtskKvgxzYbKpZu5P/xvKVj4umsmZHpEYauhE0iqwb5AIWwQtuepm6BQNO2dD4QghKgSGmUzdm/8wL7t59D25TT00eoTqQJet8xyQ9Ynp0iDsoK72Ux77qWbDrHZgVkE4JNYpKtZA6EQIjOunLOsrlGhJgh3IyfEo3BNSVqtktQEnSP1ycE6vPHnN9/k9DUUbpCikyCvQfA09dLlo/fY379eZQxNE1NZhWhLVE2QesMxcdPNIfk7JN6DMuo3ANHkqZkRU69FhC37zqUV2RJgetLgoIkz2jbnmw6I1QVmYL1ahWduKXarZWhqbsIBCOOxU0dHwPT6YSiKNBaM5/PYrHFANH8se8lcFQmAsGKvpcOjW1d3eFr+J1SSlpbETO8+XzOwYGwfZT2nJwcU9cV5brCaEuaZcKY7zrqpqGpJUHrO9FFS5OUclUyaJzmuehwD8Zbs+mMPMtJswzx21Lj5xqq/G3b0nUdZxdr2uA5uH2b/+A//PvYaFYz6HcSFM+/9DLf++a3eP/9exjv6duaRAde/dY36ZXiV37zr5BPNUHcMiW+8I7QdzR1xcXpKevlOV1Tc//tdyjXJW3dYBBGc7Na8sabb/Heu+9TTCY898ILzBcLnnv+eRZ7++zu7pPmBdImL+Y/cVpvgLe4/gxN9M45lhdLZrMpQ9wz3It/Fdq+HzcxG957e4wMv3ti7/0kgcRbQNIHHUOhvK9K6oszlILFtevkszlaKbqupTw/4+zoIUW5pJguaPMJdjIhzQpsPmX/mZfwN5+lPj+lOj+mWh9Tn5/TliVt39PUFYk1shdZAYaTJIuyC2b8nTZx51IDU3gbaNyYjo4Gt9v3LILCIolgopYn0VA1bOHkm+sxFKeDi/rCQXwOCAEVtY4vX7sN6jvIVai4B22+6whgD9IX0WRVhIZHcCR4JzttlKzwIRDaDhdNYXxwYpKT5dg0J53sMD28g2taTt/5AcvHD3FNTVtV9HVFkmUkWYZOUrQRgNgF8fto6hoIpEkGmEsdOWOswDawy6aio8YLF8GdDVN4+ETyPM0g3TNere04ZbgOV4aiFJM0yoQxNg/agNYUiwV9s2J5/JhksoOulkzSgqAtKuhL+/rTjqtz+pPEHH4iVh6LbnFtjT8FNgWOj7puhvG1YzdJ8JwdHfHqt7/LZz7z87z2nW9TljXWQKol/lvVNSJ74jCJJUuks+vs+IQvffUrlGdnvPOdvxgLEU9DAZ1zMEj0xYLtMHeEobt5kiKQ5wnXDg/ErDBLWa1rXv/e93n39R+xfHhMkloOD/dJM2HMJqmlyFPJ7bUexzZEUDiEKBs45IVDrCt5vvJa5JmcGMD3UR/YuxDZw1cN6ERGom07kZToHefn56zXUuBWWjGdTcnzPJ5jEkHcTDSB8xRtZKyjFdYYbGIoioyskDh49/o1qqqiq0pW6yVVWaEJdG1D17bS5Ry1muW19ajJLvUfmXSDh06aZdg0IZsWeKOk1byxWK3JIj4gXh+WoVuj73toYbEzZzafsrO3y+PHR6yqirP336c4m/Abr7zCK5/7HNpY8mJK33Y0ZUm2mF/JYwdt2k/GPPyXOTaxw5OT4adlTn9YLLLN2n9agfyJtU8JSHjy+DEPHtzn4PCQg8N9LpZLvvClL9O0HT987XW++hu/JfGvEdLO3v4evXPM5nMGHf0QAiqS7d760Y/5iz//c7qqplquwHu6uqarG7qu5ejxY8pyLZr6KIrJhJOTE6bTKWkqkg5ZmrFarUSKbTYjTRL29vfIspS+75lOp9RVHYs+kitaa8jzjPPzM/EHiTnjo4cPufXMM7i+F3BaSW7bdY58MuNLX/4y//joEaenp/Q/aJnO5yjvRu3e6XRK30t+YIzm7EzkGGyUa1BaNPyPT09I04ybd2/x5ltvMd/bo7y44O5zz/Ps8y/E9Vm60f/g936Pz3/2s0zynJ3FHIKYendtSz6fUkZZDZMKNpimKeW6IgQw1lCv61Fmzxgxijw+PmbQCC/LktlsFrV/k1Emo21b1hH0nk6nXFxcMJ1OKYqCi4sL5vM5xWRC3wvpcTIR87yz8/Nx/5xOp9R1zWq1Aq3Z3dtnOp1ijKVpO4xNx4J3kiQj3vJRj48tK7EZ9MNUi0CAUqObXts0BO/J81ilU6LBk6VpbLcQarpoCkulXUdtJ0XU59QK78Q0zDthVQyuoIO+hkG0sgIBv8V88RHQQG2ZqSlEg9gMk/WyK7jdCnI3MgjROGfLAGO4tptKsLBLZ3lKkWX49ZoisWCMMD+MihqCMDAyBlbG8N1HN2jMEMyKHqny6lKgMejtDuflvadpWkm+o3xE3axHzabe9eR5TpKmTIuC4DpW61p06aIeUp7nwkBsW8o1AoAhoPoQcA6DMbUJ7fKMLInuygzjYbPJDz+PzxuuZRwro0u9AkJPCIquqdEqCJCuFD5IYksQMM67Pt53T+8Cdd3S1C1N39I0fdQYrmnbjoAmLwom8zm7uwuKPCf0Ld4mnC5LPvfZL3Ht7jMEYHV6zNs/+gGP3nwb13ckk4zzx8c888KLFPNdknwSWVkS4AwV13F6qU/e1vrUzU8hTul4mvWpaBh1LSafYnVCe/YQU5WYrCAYy2J3j7uf/hzn99/h4vQRTbmib1o65+gDWO+x3o7j9RIDaSsh9FHzzPWevpPCi7CZLC6xsaJvo0mbikYX2+wGtRl78RgBBdTIvgnbxZV4DZQfjHGGtUA0wTEbY0ajNXRt1G0a2mAUG0rSk++7SXziWLnCELl6H64mEpIcyg9XWcUhBPq2p6pr6rqh6xxt7wgYlM2YHt5k98Ytbr34EsXsgMl0wdnj+/j1kk55stmE1HmUD6RZTVPVWGNEwqaT9vr5fIZNc5Lpgq6uZUlCmE06ggj4y87U22vBhrUlSWNXrcWoLhrSKQIqQH1+xOM3vov2LoLfjOB5zBNwriP0gWBz6RDpWpr1OSpLSZWh1xVZYaNsgYwNaYUyT1zvq/fqk1TUuXoMwI2XiStmRNays79HXa4k+FIa3QeR+0lSTAi0ZUXQAVsU2BDIs1S0qUOIle8QuwugrJtYyBAjxr5rMVbTtj19v8K5ntVqyXQ6ZXd3l94Jg92YOW0rJqxFUQjDR2/2q23QcSj4AVEL2aKjiepsNsU5T5ZaZtOC6TTn/OxCkkHXi+O3E4OHumlQSHAWYntruVpT5DlZlsq+kqYkWTom1olNxna1vpfxvH+wy+npKWmWgFbkRUrbdqAtJ6slv/Vv/TWmizlBb6RUhgTfJBmf/vkv8N1v/gVZllKul2gDiVE8/8KLUuySD43CSzE7KOrlOffu3aMqS1zb0nUthwfXqAsJ+rquZWdnD60UTd1z/717dF3Lvffe49q1Qx6+/y7rsuaVz3yW5158kWs3bzKbz+W+p6JvqoimusP6FYe+1sIIG+KSS2PsQ+bHx5k/2wDvxzk+KOH6adhAPyvHh55zENDetQJuzBYLpju7mDRDK02SF+STKfV6xfr8nPPHj0iylGIxp0nzUSPTJBNsMWF3Z49pe5vy9Jj6/IRudUJT1vR1R++a2HHQYxMppiitsVlCkgYSUsJYtInjQmsGPfoQBFRVxkghVYt5HGojBaW06HaGACpsg5fCaBxyCHm9jZ5riFXfke0oJ3GZZBD/InnC5a6KUSIikjCMFm3ReBIAmzb1vo/a5YzmdyEmh957tLFkVoBek01IZ7sUN15EGcXZO6+xevyAtq6p12uaao1Wisl0Qj6ZyHOMHYszfdQlle1yrOxtwOGnjA0BumG4UPLQAdzZgO0+bBV2EPPLDx9/ajSsHa/pGAtFQ7DhvniRhioWu4TzU0JbQlfhuxqtZx8a/35YEfyTclwCeIba/5DuqE2xYxOjRSmHOCw/rGvCO8ldneto25bq/Jx33/gxR/fuc/roCPAk1lCklq7xGKNp2jYawHtM0KRGDIN/+N3vkCWGh++/Iyy1PL8Uo7kI+iZZSltHMEdJJ2Yf997NuW6vsSKxlmeWw4NdptMJy/MVp48fcjCdcPBMhkkT6rqiqSum04I8S8hSS2LME/40wzXdNmINMdcciBrKQB/BYQI0jcQmrnf0fcz/CTEG6Ok7R9+7CA43rNZrqqoSTCJNJAfOUvIiJy+KrUJ1oChy0fXNsmgeq8mynNm0IE0tQVtme4ccHF7jjVe/j3Idrq5ZnZ5ydnREU0lXrdLS/m6tgMLimWQj4U1eV2Idua5ZlkhRVmnSIqPvO2bZnNTKmjV4RKAjOYognkJpQppIt5a2hizLOV+vmOzs8vzLL/H5L/4ivnP0ocMkBm0MF2dnHE6nYGx8/49X9P1p9/CfpWPTVfLfy7sBlztphmOQ3hxxLCC1mrJcsyrXrMuS+w/v03vPp1/5NDt7B2htODi8QZJmskh76eDxeDKl6F0ffac6ghMG8Pe+813+i9/5Hdqq5OjBQ1arJS88/wJf+cpXODs5pVpXWGPJsoxlXeOC0HnyNGM2mTKJwGSe51EqJSfPc/b29gjBk2UpJycnqACToqAsS8rVWuQfBt8O57CZjvtsoMhS/vP/1+/w29WKv/Lbvy05v7aILpri5u3b3L5zh/X5GVW5JkkMbdOjQ2B3d5e2FcPzsqpI0wTvfZSaCJGwoel6Twia3sPrb7xJkqTcf/CI3cNDfuVrX+Pg4AATTZ5/9PoPeXjvfVTf8eVf/DLlxZKdnR0ckC0WhCgX6yLBTWsbu+sV1aqkbuqNJ0sEgtu4Pg+g7tA1mWUZVVUxmUyiLEbg/Pycz33uc/zzf/7PR73kLMsYtM/X5ZqdnR3J+/ueNE0pptNRrkbuT0FiExyB/f1D8rwABFN13o0d0v0oHfTRJ8DHlpUYApYQjccGKCYoQdVF18zgfZSQiCLIQ/Bioxh8lqVRIDkGJV6qh0ZJkDlWBuP3AKPY9TDhhkBuYB8OSc7QruLcwFcYWrk0enBn9mEMgODJpGMMRmNSNQROl1iCUmCPILQkwdZq2r7l+jPPc//tt0kyG9t7tq4fG0fWEeyK7IGhHU/Yi5sb6UME1nR0QXeepu/JJzP6qqZuG/q+I00SDq4djAFMXhT43tG3DS6IVqmxEnNqFdmMwcXPIkCo8x5thZbu3TYQtGEdbUAvtbk2EfwZmAuD9IU4rseW/OE6R/DMaAHCPeCdgslMgl0F5fJMjMq8o+86nPM4F+g6CQJaJ8GCSHF4lBKX+8l0ys7O3kj3T1LLo8dnXH/hFQ5v38WjePT+u/yzf/S7nD0+oisbmrZlNp1wdviY7uKCZ19+mcXNO4RihlGi9jYGOFu6yZ+U4xKo/cTfxD3bNRVVdcF055AH7/yI0DfUyzWhX7HKFkx296SVeTpjdv0W2XTB/OwRF8cPpZW1beijFq5IikgQNswtHQNBYCzehBDEXTjqHzkn7RRd19H1PUmXkKaeNAe7BUDKvLnMKNs2PBzndfz3E/Pu0ho5sI/YAjwF3lVqYDjIpqOG9WDrva4CuNu/GzaHobDA1t+vHmO711OAY1nrHG3X0rYNq9WaqupolGFazNi9dp0Xf+EXObj9HDadELzj9MG7XNx/g1lmZf81WvTr6obZbM6DB+8ym05FV9X17Fy7Tj7bQWdTfN/JfI3vbfKJrLu9tNtc6ma4Ms4GkABA+Z718X0m+zdAaWm5f3SP5cP3yFOD0rHtJYLMYfQl1LS9RweHme5Lt0eSMd27QXv2iF4J29jbGpNO4/o5XLOn0GW2zzE8qb/6s3xsX+vNPiXV7wDR0ciQzRbsXLtB3TQEBYeLa7z77nt0Pbz0ymdQIfDmD34IChbTCW1ZkWV51MeyaC06fVob+r5Da2HPKq0wyozmKNJ6pijLmraVpGw+n42GiyIRZUZmIbDR3oyf4WrRc5gvrnexXc0ym02i4Z3Fe0eaJCg0Td2xLktCCOR5Rpqm8vd0MIFJyLKcrm0pJjlVXcXChrxnluWxHcyO4JLWErOIkYUUlYdgNC9ynnvhBT712c/I+rUFssiuJ2ygJMv5wpd/Cd81fPfrf0LfVNg0ZTpbwMjCDBit6LqOhw8ecHr8GJR0DDilODo5Z102+MgsaLuOel2SasOkKJjMpyQ2YT6fy3XpHBbPn/3xH/GDV7/HnWef5Rd/6ZdZ7O4yszsSDGrwiDHl1c6Fq/P44ySCP4mF8DTWzEf5GzDGedtmKFef+0k/rl5rFcT0zTlHMZlibEqS5HFfCATnUTohSQvK5Rld29A2Lc3ZOWkiiZ4yKV4Z0mJCNpky391nurtHu75GeXZKs7qga2rpdGs7VhdLAJI0IZtkQsRIPUmajXH7CEheOvstrfmtIubAJB7YOdu3auzoiT9fin+3gMoQwaP4LoxZxpV95+q6uH0tt1gcMT71uN4JIBfNc33XCTjsA36MARRJkUPsQlTGgC0odg6YHtwieLi492Pq88cC7EXDOm0MeZ6SF1OSLJfrF8Fx1AYsULHY+qHVyyvX+epnH9hhAzEHpaMHSHwcXIr1PgigVMZIsazvL60LI/nEOVnvtMEWM3RVcv7oPiiLTqfk6Rx04AMDy6uf5Cn37Wf9uFyUGHwqZNUPYRPvgMQs1tpLTOptcs3W8AfvWZ2d8vpr3+f73/omR0dHrM4vaNZrYcf2nqAC3mt0cASjaILk3G3XsdjfgxAJNcZifcuPvvtNijxhOsshSEs14/lLUbRblzH2ltNIkuRS0XYzxjY+HCAdZtNJTpJYsjRhMi/A7RO8p1eK0Du6vkUpSBON0THf837cM7fJDsN7jXu/d/E6SkG77130kBGD2a5zcU/ux7Wh73u6TvTAB1mJi4slVSXyLtKuXTCdTkbAXNaDTUxijCGxFhMJU+J5lKBMgsmn7F27wfXbt2makuNHD/DO0zQ92qQoJRJXQ2E6iaQEFYlOxorEo1KGgYCCEl+HEBIW8zlJko7Xw8cC1SDDIdrIBuddBNs8bdfTtW1kjkfJDzWnXK354be+w9f/2Z/w3IsvcefFF/jlX/819q9d497bb3Htzm1gU4gb8q+PenxSmP7bx0dZY/5VrUMjWSBcJj0Ma+kwl9xW56xNRCa0LFecX1ywWq+EOW8TcmtZ7O0TlMIRteODxAAeiatDJ+uztQbXiRn5+ekpv/tf/pc0dc2Lzz1HtVxyc/+Acl3y/AvPc3J8TBclVwYAOMsn5EXB+cU5+/u7TCYTQoDnn3+OyXRKXZUYYyNQbEWyNHbYDUZpAwBaFAVVVY0Ga5InlEzmU9qm5pm7d3n9B6/xpS//IlkxJUkUSZrSd9L9+Jt/5a/wrb/4Bt/5xtdJFjN2dnZYXSxZrVakWTZ2IrZtQ5ZntE0n2BgAmnW5Fl8FFyimc6q6xqYZv/5bf5VrhzekM3Jd0rYN3/z610mMJksSHt57n/lsQrleURQT+rYjS5PR6HI6nUb5PEdd13R9T9O2tPFrsViMYP8A5iZJMq6nA4jcNI2YhaepaDuXJUki5vVaa6qqYrFYSK4zm12Kgy8uLrhx8ybWWlarFXVdc3h4jSzPWezuiUaxtfTBMXZ4qQEXkT3gX5sh3fDBBSDegC8jVy8Gk9Zaikkx6ulCiKwgadsYJov30gIZm2ogiAbSwJoLsaoJapRNGL4IklAZo2n6NlZ1Az5EViqxnRtxQnUxEB0/x6Ut/PIxMI+Hm+ziRd4Es8T3D/hOWLsmsSIibxSFzTl//ID5NCcxVwOiy0m+JIvmkmkVQdpONwuMBocwn0MQHbng0Iml6Wr6viYxmmkxRStFX68lGVeKdt2iQhC9YwNpnpGkCVobrDGi72v0uHkN90w0nS5v5gPQNdx4dWmghfGaaK2iCVjUDPZSAXCxVXC7Mr1Rxwn0LrCuanrv8Z0Tk78gQVJwXtw3ey9/D4G+9zR1g/MBbSyT6ZQ0s8xmM2BjXPDw4RFvPjjmK3/j76KNpq0a/ui//m948/uvSjuy0bRNy3p1zmp9gTKit7wqK27/3GcwaS6wdzznmA995KD4Z+EYMI2nnXIIAXyg7SomO9dpyhW+WrE8fhABXk15doRrSiaTOc35Edl0gcmnTA5ukEwXuLamOntM11S0TR31eaOeKFLddK7H+agfToi6zoamOWf38JoYNgZHWVWU6zV109I6T+/Ao0hjYG5j25YCcQHfYjw8LeuSzy73z4cQiy+KfkhwIzM2KEYJB9iYNV0C4raCiW0jguE6XgVatlnTw+tuF6JGQHjU9VVxXm10fUdguO1oOnFj7jqHNhbde7Q1dPWK97/3dVYnR9x+5Qssj+9RH90j1T4a3IBre4Kr6aoG19TUZYXvO4zW7F+7wWR/D51PQFtUZFHJuWlC28R1QCEXartdLn4mFVsIFeN3DdC2rB68Q9eWrE8esTp+JEXC+Q7BB2FYaS0JO4OmnBSWgjZ0y1PWZ8cUi0MmO9dZPXqf4NfSCqgUyiQouzHaCTGJ+qDjk6Z3CFwaL3Ko8Zsi6oXalNnOAevlkqOH9zB9y9HpMV/+1d+iaRrWF+eiP280vuujxFBOkqR0fYdaGbLMR7ZLoKoq0iyRoknQGG0wRpPnOW3bslqtqKqKtm1o25b9/d1R82/Q1zJxXA/J53ZiCJeZWcYYVGReOedIs2Rs1cyynOXyQjS2647JpMAHYjeJ7BOSxEo8kWcZaprT9z27OwtQUSs5saCGgqXoalprBQyK3UfeCyNZIZq8IWg+9cqnuH33DmFLOimMNyBW5LXGpCJfcef5F3n37R+zfzAnKQphaPViHkRqOX78iJPjI5TWlFVNXkz4whc/T11W/IP/5D+hOb/g8fERXS8AVm5TTJrQlB1aabq2J8tzus6zu5jwzJ3b9N7zvW9/kxdffIGzs1Om8zm37zwjTuxaEWJL66Zy8yRI+3EYwR/22O2/fdT32AYPBtBi+2/Dcz+pTKbtazasrYN8mQ/SSaMQBpoyGmUsRGNHBWBAGSvrvjV432OM5fi9t1mfn7J0HptkFNMpoSlpV2fYLCfJJ+isYOf6HcLhDdr1kr5t6eqS1fkp64slTV0LE69xTBdxPkZ2/abTzcS5HEa/AB2ujoVYuLrKTouJ7QA8AVtxVETZLu2PcZ5pkT0aImcVQQ3xuBiupYvg5pW39A7lezye3nW4thOWn0kwxmJSHc3vgOAFLDUWYxO8D8LEzguy2TXy3Wu05TkXD96hPn9MU5W0ZU27rlAK8nxKMZ2QznZIsgJjMwiR7DHQcuXqwGi+yyVgHaU20l8IyDQ+L+oGhhCiBnzYTGVt8bHQJTHVENPIVX7aNAkBIV6Mb6G2YsMB7DSAxweH0glpPqNdXdBVa3xTEUIPIYGfEAh/GHv2k3AMhIDt8oiQYoS4RARbgwJtLeWqZLrICIpxTyHGnh6PdoF333qT3/vd/w+n9x8QOumEDN5jghKZQO/I85ydxQ7lekUXRL5JaUViNaHtmUwmGKVHE/ciTcZuIGOSzTiIcWiwGoU8NwSiefjGN+Iy0UJHzf1YuPEebeL+XyQkmY55ogdlpMASCVsatiQVxAhPR8nIbcawDwGNFGYGhnHf9wQPXedpmo6mrfEO2rbD9cLGavqeJho+CTglUpbL5UqkJJRIRM3n81HPM01TKZ5p8VGw1mCsochz0iSNMYEYppu84O6LLzONUk2KngdvvENTlrR1K7lsNEgHIBDlHA02to8P/gzDWrXphBjwj4FpbDax3WAeGeOT0YdFqdjq3pN2Dpc7mrpBqRVVWeOqGt+33Lv3kKpqODo64iu//usCMOcJZbmmrRvSYlgbBkmJDz+uxpyftP0WrhZ3/vUd27GKYGBGihtXzmUwcu576X53znF2fsa7777H+cUZeTHh87/wJW7dFjBfGx3j0NjF50ViLUsyislEcvNVyTtvvsn99+/z2ne/xyyf4OuWxWzKPMvpu45Hjx7x4P4Dzs7OQClu377N2ekpdVNTNy3aGBaLOWnscJvNZjx+/Ii/+St/l7PjY957+22RWYps1LIsx8J9nudYa0cMa2dnh6qq2NvbY7Vcce3aAb3rSTTsTic8OjriX/zRH7F7cMBnf/7zTOc7aK3pOwFULy7OSaJsxWBuV+Q5bdfRdh2TyWQs0Dmv6JznfLlkMpnSB8GCVlVNERQmzfi7f/vvspjNMMqwXq35Z//df8d3vvMtbty4Dt5zcXLEo/ffFSJkjGcSY7l55zYnJ8cUeR4BcA308fOvQUFZlkynUwHAJxOstZyenkaCSsZsNuPk5IQ8dnIMUjdt2/Lyyy/H/KmlKIpRdsIm0nU9SMfu7OywXq8pioL3793j1q1bHB8fc+vWLRaLOdPJlJs3bzHdWeC6jqAVDndJzk/yrI/nz/NTyUpsfsEI6hKD3YFK7foeZUykvCd0XYtSCcE7uj6ASvBeXTZfGjYitjTAnMcHcSUXQfaoPxuBxs4LABjYrn5uJqvSmkGgeyztsF3Fl8A0hC3TKqUEgIwg5Fj1iYN/OKchaPBNS99K21iIbu8Gh1Gb1jwxfIgX7dL11Jc0nsLW+w3nKdfX4zpH7xw6OHTc0LUxzJIpo6EMYdRUGvSTBnaEjnqeWqutFn4BhkdW11jJ9VutgRum13iNtZKKcGDc+OT8Ny64m03Px0QgGl5E0D1EgEme40awyTlH3/bCJAY8juB8NCWUYN55R9N2IuqfJBIEFBmTSY5zsogZbbm4WPHaj97gpS9+mYMbNyDAd//i63zrT/6YbAAMlMKkCd47lhfnvPnjN5kXU8qywU4m3HnuZUms2dzzKxDNz/4xbPBcDuUHANL1NdrmJGnByf13cK4jKybM5nMpXvie9cUFq5NHEYysSCZz0RnO5Gt2cJ3ge9HrayqCc/RdS982+EYkYQaiSQgiFzK/dh3yCfNpLgGm60iLgizPWa/WrNYlbbuid46JD2gDvYI0SeLmFEZWguiYXQ5kBgx/LEaMyZhG2wL6CvDoKOES8BA2jIbhGrkglV4JZC/P4W2wYhsMvsr8jQvNpedu3ZongL9Bh805R98NBowtZdXQe0VeTJhlOeligbais12eH3P8zmuEtsQo0Sd3rpZqa9NI63rT0lQldVWxs3uLnb09sukUkxcELaaZg7PpAEwIi5qY7G7O8dJ5b7HM2ALElQaDQmUTzOENijylPD9meXwfFTw2LTBpIe3JkY01AOVoS9/3nD+6T7E4QClo2gZ8T1JL21xrU1KTPXk+f0mO7f1gw8Lf6ECrABqLQ2NT2Lt2jeX5CcYHfu75F5lkCffeepNmvSI1hrQo6GxH33mU92SmgEYz1Rqjos66Vhxeu05VVzR1TZok9G2HTRKc68c2VBeB1L73GJNgbUJatiSJmMBYu2ETGmPHcTXsKdsSSwBDF4OxwhDQRlEUWew2OqBpWpqmpW06usgu6vrB5CXqlRIo8iy+T0I2GLuYQXtUMdSAuk4kY4y1tF1HmifgPKkxrAI0bUftHT//C78Qk7dN54tSQ1k7vp7aFJCSyYzda7e4fu06LiCmOs6huo6To2MePXhAMZ2xe3jIbHef2WIHFQL33r3HalmyPDunLiu08sJCyjTWKFAWHwIXywuSaL6amASqnqzIeObuC/zwtdf5rd/+q7z19husluc8+8wLTBa7Am5oPXb/qBDwTwGIP864fNpc+zgA89XnfCDL8V/ifX4Wj6vsedjsyy52a4V4b5TemKkpY7CacY323nNw4ybVesV6eUG5WtGcVKAUeVGQ5gVJlqOtRdsEm2QkaUYxndO7HbLFDrPlOe16Tblc0dQ19bqM4K5c3wEglmMALrZiiW2wfvi6cqjt4rraKpAyhP0BdGTXK43Sjj4oTDYl1BVWeYKKXYhGo6JkhLx9L9fCuSiPNV7kUWam76U7RcxW0ziX5RoOAJgPiFZwmmFtjp3MpUikA83Dt+mWZ6zPj/BtRV+XNNUatBgf55MJxWRGkuWYNGPADHXUJb9c3Bgukexyl8a3Gq5tEFNt14KPWszOiT6k7+NjIkiepGibEkyCV/1YXB4AejF63eqoUdEAL2zuzebctjooB2A7fiVphk1zqtUFWVORR5hpLM1vA91br/e04tAnae4O6/0mmoxjOP59nAdKDIhWFxdkxRSvFDrd9viQe/rw3j3+0X/xX/DGD14jUYpJkTPINyhrSDLRh0ys5eL8dGSQDmBikhqsSbDaiFSjEaLPYOou5pLxPm+RokIEZm2MkV2UBxuKhANwux1vXC3QKa2wKkE5kWWwNrbI4zbAMsPY2RzDmja8plIKZfR4jsM48c7h+kDfhVEmou8cIUh3rnMdN+7e4fHDhyyXS6q6pu/cyMLz3pNF86eiKCiKXKQ5ilxkLxXoxGISuW7KZnibkBU5s8WCxd4eeweH5MUEFdfYer3k9PERXddTVTXr1YqqrKhWa3rXo7QijbIVSZKOYJlCJCGGwbE9DsSnQczqtgHz0Tgz/ntgfVuToDFY44V9aN04b02MXzrX03Ydq6rkwcOH3HnxeV5/9Qf4tsM1LaqYsk1Q+7Dx/rSfP6nHfx9rzbCvQcQ5Qrh0L4d8MMQV1VpDXTecn59zdnbO3uEhd597jus3boyeFt77GKsNeaPHu443X3+dRw8fMVvMqaoKozUnjx5j0Nw8vMbZ0QmzbMLp0XEEovvYbV2T5zkueNblGm0NEzslSVPyPMN7x87Ozghip2nKX/zJnxBCiLG8Hc3WrLUsFguWyyXGmBEoHuQTBgB5UuR0dU0xm6CtoWpqpkWOwlOulvzRP/1D/ubf+jsA2MTQrkouzs+lIOI9RSa6uU3XAoINVXVN27UkWUbTdEJosQllJAq264qbt27zymc/yzN37jJf7GC04fzklD/8g9/n0eMH7C4WdE1N33X0jZArXd9jbYLrepTVvP7qa8yjPvBkMqFpOi4ulpHla6hrkYeoqgpjDOv1etRrHuQl1uv1U2UmBq3hR48eUVUVBwcH43XeNrrTWlPXNUVR0HXdCDovFotI0FnzwgsvM5vP5H28k9gmShZpdXn/+Tjz+aeTldg6JNAR1l2WZoAmy/MoitzQNA2JkUSy6zvAo3uN64Xhm1grNPnhtbcYBCKY73De4zwjsDhMQHlzsGZoUdmgdnKaWpjE8bVVCGib0I9VvwhisqloDgGR82KiEXo3sjqathlBU6XEbEcPVb54zX3USgqICasLBlFVGUAjYThsQOwBGN4sItuLiTEmnq+XVh1t8GabcaUwV9r/fAjCWtAaF+RibAL8EDU6BeQezmkMHBEtLG3kMUP1YbjZQxCht3Tmhk0qRG1m7zfSEqAis4sxkR/Z30ohLTchsoqJ4G9g808XmaaMwb6MB9GdMtZSFBPSLKUo8rG6lWUFZ+cXvPPOPexswd/8d/4eKEXftvzJH/1TfNeQL3aYz+dj4tJ1LWVZsr5Y8tprr/Hypz/FndDT9TVpKvIgQ0LzQUnQz+wxLgqbsbY5RBw+y2fU9ZIsMax9oJjNsbm0mFgyFnsplbng/OQRZblmutOSFBm2laTBJKm4c/uAncwEDOk7MIamaXEBVC66n3iP6nvOL8649uxLdNWSxLeQZGTRPCpJUmySsF6XUXfMkySWxEoQmefynuOnGCtkW0lJXCO2Wd8gREvnOxgWUBPnDurS+iOXLuCVBZPgQxuN6Z5sab3KCH7aY4bMcCiWDOyOYW4NoOqQkITIgO+6PrbOdXQOHAabT0h395jtH1AUGcE7cq2pzx6jnLTF09ejHE/XtJQXS7nXRcGNu3fZv3Ydk2YomxC0aIm73gm56YnPIV/q0oZzZYxd+cxqC0xWaGw6xexYbDEjm++zPjvG1TX16jw+T9Z8FeWBlEnQSYaezAHRE77x0udo61L2Bm3Qrsc1K2w2A6U/gD/+QfPhZ/+4WmiQ67SB6McCbQQLprMF167f5PH777O3t8f9t98E15InCQRL3TZkxZQ8kzYngCzP5ecga7fMpUBe5ExnU3zXw0SYjnXTYKyliS7g3nu6tqOqatq2j4Zug6xTEBMs9aT+2vZ82fxe3j+EjaSAjyZ1gLS1RjM67z1NZCoPAFPfd5FJJUC0VgpjZVzbJBHmZRxb2+fQttGdWOqPWJMgEkuQFhOu3RBZlA2ww5VxJvdEjTdFsbe/L8VcHfXX+55Ma05PTkFpbj3zDHvXb46FR992/Pmf/SlVucJ7z2w2JTGQT3Ly6ZTUptIFlKa8++57GKupyhXvvteS5RmT6YQ0z1iXJd/6+jdpuwYdNOvzNXefe55rt26hbCrdFgBaRb3EgU20OS6BROOY44mfn3Z8FDD3g4LUbYDqg177k3pc2guu7g1bIP0wqKyxkTmkRnB4GGDKCDhqlBRLc5OQFFOmOzV1KRq4fVPStzUBTZqk2ER0t7u8oElSbJqT5xOyvKCb16TTc6rVktX5Of3FBZPpjKwQM2m1FWPGk2ZAdv0WsOG3bvvVcTAChyGMBduhf29jbKcJOhActMFgQIo32kLUDx70hHUkhQiebED14PqtPTaOXRTGJGIsl6SoaH4biKoIcSIbm4BN5HtsBdcK2rNT6rNHdNWavq7o25q+riAEillBNl1sQPhYQMaY2BIcDbaH+x/f64m5tQ2YDgZcfQd9Le/XNjRNKzqIMfZVSgBbkxYobcgmM0xajEVaItjmtRklJMQc16CNZTC1u3QuckLjPdNaEYw4umMsSVZQnp+gY6FCBT8yatWVe/+0n+W6f7wk9WfmUALQCHR/ZV2M+6+1lvvvv8/p2RmvfP4LSFfJkBwG6uWKf/h/+7/y2re/zSsvv0y9XhFUQCcG5QNJKl08vRMgNE1tLIxmMVfZ3h8Nu7u7VFVJklopGEcmMEo6NTWDybHGRIDVb9+bLS3uq/ds+2vopEUJizVJC5n7zhHoAXcpBw3D+w7/ba11YywTwkgOG/4mebiirhrpHGy7yLJUeCfQ2uuv/RClFMvlBd4LONPGGDdNU/KioCgKjDFMZjO00TijObx5gxd+7mX2b1wnHeQclIlybR3zhcg/qQB1tebi7JTXvv1t6vWKz3/xizx+dMTFuqRt+ziP5XOlaUJeZOKlFAH6Ib+31j5FsuPpRZTh56tFFSkgifQPXYdxGuulSJB0Bu9T+t5R5BO6umP/YJ/lxQVd0/HuW2+zW2T0XYNI40lW8YnKXX/K4+pH/NcPEm8VgYbC21NywIE8l6Yp169f4/r1QxQeZbSYMAYp/g668CDGh3VZUVYVdbnm5Pgxu4s5qu9ZliVd3dD7QOsDqbW4rsNqw7pa4XxP17dSWLUG37Y0TYMxhqzIMYklTRKmk4L1WnRusywTSc5ETMnLspT9JhrSVdUalOfatQNQIvlK1D1OUkOqJHYv0pxWQWoNdd+QWkPvey7OzmhD4O4zz/Gdb3+bz/38F1DG8P7Dhzx6/JhrB/uk1tDWFXXdYKyj6zqWyzVpJkaR3kOSGequoygKfvmXfombN++wu3+ASZKIn1l82/ODV1/lG//iX/D46BHz+YTeOY5Pj0msZjGf0zeOJElouxbvojelQUy6tWZvd5d79x9ITqE1y3JF3VSjoXbf99y5c4ejoyOqqhLN3ygJkaVZxNwCeZ5zenrKnTt3eOaZZ/jGN74xsq4PDg548OABO/MFXdtJ91jE7gaTuq7ruH//PtevX2e1XvH88y+QZBnL1ZqAJ58UKKKHhFXRc0HHQoXgbR/1+Fjg8PBhR6BgWGiQTSDNp2TTOUmWs9jZ4+GDh6zWJdPpjL5z0HlCZPz1nSSibRTXR6lRN8v3LgYtfhTS769sVirIBFQRnDVamEkg7EKCtK8NLTVaS9vowKDdaB3JXNbx5rV9R1nVdB24xOCrEmMTCQc0pGkyVuyHamjbtVhjIShMMITe44KXVmnlCM5gExurhBuH9m1gWBjKG5B6cH4flx01sGyH9rmNdhJqY/SlY7udjtdIx0AhRAfLAdgaKhhDC7Gci4s0Dgg+trlsJy0+0Lle2qWMGHQNCbWPoMIADjvX0/fQdo6u7yN7w43sziFOHg4ZV2xAYzZL7QgmA84NAYUiSdKxXSjPc7qux/mONC04O1/z6OEj3n3wiP/wf/m/YrazAwT+6A//W378/Ve5sbPDdF6gtVRvlVLYREDSsiw5Oz3l7TfeYufwAJtmHN5+AaVTBrbYAOZ9skLcJxO18bstCDj8+gxfLlGuQyEOvtKipiFJyYA9ozg7OWZ5+pi0LkgnE4rZHN/3JFka3dU963WFUpqsWLCXTynPT1mvV/jI/tbWSltZU9N30kqM7/AE8kkRDRkgzVJhzK5KqnVNZxV5LmyKRCnRbopzaBw4YaudyMt64nxkKwQwGozSdH4DilhrcUjFDa/Aa8QtI5AY8G0lFf+tBO9SsSoeTwNWxsexkZLYtN5qVBAN86AEDAPJRQazvr6XhNE5jw8am6YEDb4uqY56/LSAAK5twLX4tougXUPX1GMQnk8ydvcPyCYz0smEdNRhM6igIvvRo9CXzp+ttebSiNrKjYJ8+CtjizFJJxbslC2wJkWnBdl8F9/UtNUa33c06wv6tqauSkke+h5fV3R9R/Ce+bW7zHevMdvdR9kMo7QwucpzsAkkk/EeqEvneaW97BMUHF8dY1fB7wEqDtH4RGnD7v4hVVlRr9fMphMSrWmqhq732KjRpbUn0bkACJFBrEJA4WOBMeCDQaEJSQIoulYq9i4EpvM5Ohri1HUTGcTSilquS4pCEjDnvBRS9SZJ2vgCCEg7JFHEvc97v9mjrCX4LdO62LYXCKS5BGGu91E3OJAkNl4nGQM+eNmftY5yRG4Mel387LIna7paWs/XdUnde1Ztyy9+5askRWQOrE65du36CKIM+9blOyKt33rc0xy983RVyenFBetqzfXbt9m9fg0fi1IazTtvv813v/lN2roiy1KmRcrOYspsPiebTMfXWq/W3Ll9k7qqWZclq1VN29Y0dcXO3i4heN7+0RtMpzOee+EF9vf3efP1H+Lammu3b5NOprLNewS0j/y/ofh5ddw9max+tDH7UUDk4fsmgP1k7ag/zaGUGv0kxmscx4AyCUlsf/ZBnKYZnL2DxMQg+0gYtGzTDGsSVNqjkwyT5hSzHVzX0FQi89Q3LU0liU5S5NgsJSsK+rbApjnpZIotJmSzBelkxsXpMXVV4r2jmM2E6RCcyLwkCQE3xqP4gFMBZbYAzhDGdV8pLSz1GCMyPC8SFbSxBGVGQNe7nmAMWTIhdBUmsTEWFfkXpcVg0cVYWBEZWVpY9SECxDYy/5Q22DTDDFqiVmIU58TQKskmgI7voXCuo6+XuKahtxnN6gK3XlKXS/pGisNJmjDJC/LZPL52KvIOCrQykoTZQT7Po6MU0/C1XWCV/XWQH/A43+G7lq6ucNWKer2iaxq6riEvCpwPWJvE7smWvhHNY7zDTh1KR+kR4rXqO3A9PoQo46fQViQ0tM1AmU2xdJtDgMTbRtoNCSqa3QVPW69gCxgenvQ0wOuJ8f+TS7c/c0dgk/duwJ6ttVEr8Io0sejgRU7Je0EZ4o59enzCP/g//R/5p3/wB3zxC5+nrksUkBhDlue0jbDjijyXexXztCRN2d3bp+9aXN+jjSbPRBO870ViySYSE8sYjhI1ckqyrnvAx5V+e+3Zyjm3C3NPsIgjyDUwIru22kh/BT8y3mDEySUv9R4VjcW1NpfeZyCCXTapFQmJru/FbD12zYUQ8E6IV00jMlZZlvHw4cMYFzumUzHSms/n5HnOZDIBpbnx3PN89vNfYP/6dYy1g/K+3FgFLjgSl1KXa44ePOS9d97m+NFj6HuyRHN8fMK3vv1dvvobv8Ef/uN/zNH9hzSupxk7mwoxcraWJLGi/Rlz/MlsRl2W4zi6WugffrfdqXh53xzuCUQrTUJwsRM7djP6gDEJRT6hMms0inK1Jk1TXvy5l/ne1/+Mu8sz5oeHl8Ghj7DXPm0P/+Ts0T+5oH21cCXfh79dzuUu5XFPiW8uA/xE8tymA2dDlhHJJIVIq4qkkeSlKgJSXS3ju1wteeNHP+Lo6DGPHjzg61//OrPpjK/88le4deMm33t8RF83VOsSAxAQyai2oyxLXJCYue8ds9mcru9iJ4KOHf4bKQitAnm+F8kUAZsYklTYwvsHeyNL2UUjtDRJqao6agELBVIB6/Wavb09LpZL5hOLT0RyxfciiVrMpiiTsLOzy5/+6Z/z1//tv0WIl+l73/sube/waC6WYiqpdMbpxQW3bt3is1/6JbIiZz6bMVvsUtUVZyenPPvcc+zs7aK0xTUNWkciYV9z7933+aPf/z2CUsxmU8qmoetbvvobv8F6teThvffRAbquwWDIszR2sssaeHp2znK5ousdq9WKtu1oOzGibLtWxokKvPn22wgJsovFa0PXdhSzXJjPWnGxXDKZzqQjsWk5PTvnxo0bgjFqQ15M6L0XA+0kZbVekmUZ09mMqmkibubpnMhPrKs1j35whLEJOwd73Ln7DHmagpJOQ++lAwPAGItSno96/MvJSsgvIUgFX2vL3rXrPL5/j4NrB6zXK5qq5vj4jMV8CgRpg7TJpqUF2ZxsTARjzIhQopUYtThPN7D4oraR3waH4+skSUpeWPLEYoykzCIIH9s+4wavggShzm8m+gDGds5hlMLpwGe+9EVe+9a3BYBSEoK6yGT1fYcH6rrBh4CzAdOL3IPVBq/EgMtaKwL9ceEw4+fcvHcgsqIZtGXiZ0NtBWkbIXPv5e9Di7yP8htddCTMsyisH4FWYw0wBOExEIgbssh0iK7zkCBKsBorXEHAbOcdAcW9R6fsH+ySBhdbG8VA4Ox8yWw6p+166qahbWv6HvpOkgK53m6sbI+tiU8ssH4rqYjMBi+6krK46qh5pwnRDddaI6LtxuL6lrOLJY8eHvHg8RH7t+/w8iufJih47403+K9+53fY35kxm03IswRrBsf6XgCGyQSjFU3VYH3g+N59dvcPOLh+B5daTNic8zbz5ZNxXD7XTVUzoNC4vsW7Tgohg2lBDAaVsRA0JkwI3rN7qDg/O6VZl7i6RXeOZDoneElUNIbZdCrvaAzKO+YHN5js38C7KDURpULK00fUZUVyeJ0kywmuo+satFLMZjOapMEmGVoZLi4uKNdrSfqUAqOiEaRli3woyfTWpgxxhI8Pkr+NWkkj8LZhN+rIsAtEs/bwZDvk0wKlq+zlq6Bk2BpDjECxwauB+RHfZ2t9Gg5jNNM8IZtMsGmCCQHlerqyom1aXNvQt1XUkOzk8bMpe/t7FHlOPpmQFZNRu1Jef2tsqMuM50vMmPHcL3+WuBBfmhdXj6tsYpTFaI21GWQT0ukc17UU813aqmTSNbimoq5K6mpNqEpO33yV9vQh3eFt0p1d5tfuoqd7YBNaF1Btg7U5T0s/PzkB7Qcfm7F35bPEsb7pDLGYbMLOwTWqtsV3nslsTpbJfT89O4sFO0eepsLwV2KS1rUNetx7BTy1xlCVNYm12CShbSVpS9KUSVFwcX5B2x5Ho4Q1RZExm0+jgahHG49YesZCqPeXWP7bc2qYe9smHqAi+Lsxm1U6eg5gCEHjY2eR0WZMYL2XbhvnpQvBRVkiE/dWH/cTCNR1Q7muKasarcSlvNWaL//mb/GlX/4qylqqdcl7773PtWvXYtwTtubEcE8C+MGbQKo9zjvauqGtKqqqRBnD7uEhfpCU8qK9uDo7Gxk+N25eYz4pWMyl7a/pHRiNCpa9wwlWK06Pj7GnwmY+PjnFGsPp8Qn7+/uo6YJ23fDW6z/mnTff4N69d9G+4/T4iDsvvshssUPdd0wmU7SywyD6kDF3Ofm5enzc+XV1PfgwJtXV520n0p/04ypQYq0Vua8ILAakAB9H1ObxsSK0Dd4Ym5AYjbVJTIxa0rzAuQ7XtrR1I22UXUvVNDRlSTqZkOcTurZhMt9lstglyXOyyZTVyQn1esXFyanEsVmOzrMYo7ExjvNBwO4gpsByf0Q3OCgrTEMut6sLoKYlKTJ2q1AqsWHnDGma0nU1Splo1KzH/XK7OMM4VqTA4LzMzQE0UsqhnCc4D7onKOmWUERX77aVYu8oMeGFIVxVlGVNXa7wbQVaDDnTPCMrctK8EFDYJFGeAjCZzP9eupIinLh9w5+4/yCdhSGyhV3f4NqaZl3SrJb0fYfre7Jiis1yJvkEm6QRHOzp6jVtU+OWHaZrsWkm4LA2o0zcsM5pY8FYTMikm5GAttkGNFJqNA3evk9KKUxq0WlC3zua1ZKuWpMW80uP/ct8bI/f4d+bn+VuW5uQTae88MqnI6lIprZ3jn/4D/4vvPWD7/Hc3WfQQdM3LWlix9GR5cLSH1j4wkoVoLEock7WS2GmJgZtpRtAadBWY2KRUQWF3EBxqZcikwBRG0mwGAdv36+wYRQPUiwQZcSGlwwhSn8Nudtm/R70ibXWomUdjwEok3Vb8kzvXdQcFpk5MU8auvTEd6jpewGJ+kBb9yigbhrBApxntao4Pj6j7zuUCkynU+azGdPpFJskTGZTkiLnM5//PM+88BKr9Yp33nwTH6TjsK0qLs7O6buG5fqc5dk5FydnhN4xn81IjPgTmDRjZ/+Aru3IJjNeePkV7r39Hr7vaaoKgmJnZ4fZbCo5ZZFJgUBvwPTB+E4uyNUcbGOOFzeBEZSM1iz0zo1GZl3bU65rzs7Pcb0Ysg8bd11XWKPRIWCjv5POMn705pt8/oufF+1wEgyazSL6wcdfhj32436G7ccPXd5Py/mu5jpPvE+IPtEQ+UUq7l0h4ltRRmYs9gaR/Os76vWKarnmzTff4Pj4GAikqUiFvvzSS5yfnvPSCy/wja9/neVyyeH+Af2kpW0abDST7l1Pmmd0fcfDhw+5fv36yBaez+ecnZ0xm80iw9WTJknspu1FuiaapHnv2N/fi4Zqnp3dPQhQVQ3eNWIAbRPquhZyF5DnBV3Xc3hwSNs0UnANnoBmPtthXdcUScGLL7zEL37lq8z39vF4yqbjr/72b7NY7PCD73+faT6hKiWX/eIv/jK//Gu/KhfWSjxP7OJ/5sUXIsiu8K4DKwSZ8uSMk7Mzvv7HfyyxidZ0zmOzlL/37/273Lxzm75r+c9/5z/j/nvvcevGdR7ff0DIYFIUHEVPkKbpqHxDVYkJdtd1rNdrZpM5wQdW6zVZUdA2lfij5DneB9IkIbXS+WxTy9BJb6zh/PxcTPbSlGk0nnv06JEUnSdT2qYZjf2apiFJhQg5mRZoozk9PQGt2D+8Rlbk9F7W+6ZrmJgZvZPFwzkhZQqh5onw40OPjw0OX548wwSREAht2L9xg93DA9bLC/YO9nl0/zFt5zg7PyfLxMG3cy3e9yIXoIgM18Gsxojuh4s6W0EWv7a/3AbqYw6mFFH/UFHWJVWjmU8y8ixFJAYjSEzARnkL7wPaGgyWtmnHz2WtFeac0YTgeP/td8hNCn2HCz1tcPgg7KO27URyIp5Xr3oBwYzBZgKa5nlKCJq+rtE6j8l7TGxigO99iExbt5Fk8GHMPYeFQwBVfana67ZMoyRhlna7gLT+WJuibSLs6+DR9CgVE/8tDaihiiQVEGF5uV4AXa10rFIq6t6xc/02xga6eolT0oLufWC5qri4kBbGtm9w3olmcNgwt/oBhFPCaNZakvMYd4wJ99CKFKKW07ZDrRgaCpMhTTRZllL3nsOb1zl+eI+2bjh6eMyjo1NWTcu/+/f+Hkme4ZzjD3//95lqxSS1TKcFi9k0ai4jrpN0GK+w0wlWa07PTghWcf3ubVbnp+xcL4gWW5eSnE/KsdnoJDLQOrZzD+MsBozBu8hSyLDjowGl0TZB5zkax87+PnWWUpcl63JFpiBngkkSghc9bKU1mj46gkuyqG1Blk6jlnhP4gNZMSMYS7CiW6rRNNWK4KVVzCQZyki7xMOqYr2uhUVoh0Baj4FWQILksWU1Ago6VmeH318CjdnI1mwzGiGy7AGlh+ddBikuFXq2AOHhNa6um8PvxnNQYFRVrEQAAQAASURBVNMC1/egNsYzA8tgAL6zTFrr+87huoa2rUhUQhf7YJbLFbgeoyEvMhaLfeaLhSSymbBKtE1RiTDBBwOM7XNSStjDTwQ7avOYDRE4Plb+MIIUsEkIxjVsCwSSh2sCRoLlYNDaYmyGTyeYfEbwDtfV5E1F11RUyyVNtaZbL1mH90B7mukO6XQHjCWfzXF1Db5HRXmMpx0jaP/Uv/5sHk8GuMM1ZAsn3sgFhaDBJMz39umC4/jhA6q2IzEGrWDvYI/eOc5PTmU1M4Y0y0BJ21ieZ9RVHfdZHzXFsliElXZOIoOqXi1H05e2aei6Vs4mDMakDhuSuI9vdNuHeTY89urX8PvtazDEBwKKyNxzUXcViMGpEmZQiKY4waOsFB2HeW+MhmAJwdE7McBxveyRq7Lk+OScsnf8j/6n/z5f+tqvMGj17u3vs7e/xwZI3daZG843xL2vl8KN1nRtKy3iztE0NTbLmO3u0AdhFGqvOD064v/9O7+D8g5twLmO+fxQXs85YQoag8kzvvC5z/PD73+Pomni/NIYraMsiOL85BTlA4udXXImqB4mkwnf+sZf0HvHl9ZL7jzzLMV8wXw6g4Gd+pRx92GA8DjyruyBHzUhuwo8fxDo/JchSf2wQ0XwFyV7ponmRjoWv2UfiB12/vKcGI4BxAsuCGAZPMpqdGKx3uHznqRweCes1KauqcuSenmBaxqKXqRZpnvXSGc7mCQnzSZU56csz46p1mu6rsWHKalP0ajYUh7Z+b4n4EkiauRjDOtkIhK6djOviYBJkkBk9EPcT0IANNpaVHCk1kYS4tDVsnVsrRUxA2HQFN9eS9pGWD5BrSOgm6AHIBkgAkxD50LftfRNTVuuWZ4t0VpRTCbYoiDJMmyakmYTIZEE0V0POkEnKbh+s9eNmq56PK9448a9cNxz+xbfNTR1RVutaMoS37fSOeQcaZ6TTubx/DNsVggLHEgmE9Tqgr6p6Ks1oRPTLCl+RWbolglwOp2RFFNsnxKSFN33KJuLFnPcz4frnCQJIbKOvffYSY62htB3hK4hFIutR3+045MUM8OVWO3K7ze/k7zMRBbw4BUzjM56veb73/wGmQ5c3z+g70TySADgLBoW6UvkIaXUGEOeHh+LiZrRJEkSx5WYiRtrYi51+TwH0pPReiPNF3OsrbOW5w0i/MNnG/4dv3ui2VzQ43N0NFIfznN4v6dcQZqm5ejoiOvXr8d4VozoNuFkkJpK72k7WYu6tqNtRJpyOP+261itS6paYg2tNZNJwc7ODnkkP6R5xu7hAa989rMcPXrEf/v//V1c3+OclNjyNJG8vfe0bSNm2cGRZjmznQVpktJUFVoFrJKOvEcP7rNerTg7O2O9XlGen+N9z3Q6ZTqdSKfPdBJZ3Ga8V33TbMW8m27fIf65ulYRi2hdJ4ZSIWwMcttWjAvX6zVVVYkJ+2TK2ek5Dx7cF9lLBflswmJvB1A8/9LP8eu/8Vcpy2bMq4eM54Nm4U/ab/8y7ccf/lnUWAD5aY54N9mutg114OE3Q/HEB09Vrnhw7x73379HuVpRFAXTImddrkXqE8XB/j6LyZyjx0fcvXuXH/7wh5yfn4+5uzGGruto2lbiTgKz2Yxnnn+eH7/+OhcXF8xmM27duoXWmv39febzOcfHRyjlQYkR3NnZmcg2bunmHhwcMBrTBun0HQqUWexkuLi44Nlnn+Wdd96R9cA5ptOC5WrJZDplXVZUTc1Xfv3XePnTn8YDnRefLO80ylp++atfYzHf4Q9+7/dp65ovf/nL/OIvf4UkzaSIq6QQF2LO71wnBWtjpTOm73nt+9/jn/zBHzAvJixPzwkuYE3Kqlzz7/8H/wHXb92UuDpN+Vv/zr/DP/69/4ZXv/tdcpPSec/9R48A6GopSK3Xa0IITCYT3njjLWaTKev1iul0xu3bt3j4+PEI5AouMMTjMhJM7ASzRrqonn3mLlW5ZjopaOuKoiiou5Y8nbJeLaXwpzYd/l3XkaQpxkQN4smEu3fvorXm7GKJTUVub5DfG9ZiicPUpjj1MY6PrTl8NVgfFjnvJfkyacrzP/cK5XIJGjSBo0fHrMua9Vp0S2wMegd2r1ZqNJdQWtN27bhRDR/SeS+bCRp51UG7RUUWlNyHpoe2a9ldzJkWCXYAWZVUb4dsTsBlEW8WgwcBMhUIEB0C5eMjodE7T9s7OqR1Lssz5rMF8505aZZFNpM4lQJUVcVqXbI8PaVvG4pMpCh81xHxUgamUe9gkEoOIQK3hGjIt7UoaUa93bqspX0uVieD80LtV1I1FCCO6JY5gDdDEh7BswhSDwn6hr3jR1bmwBzzYSPLoV1NcKIJ3PQ9VdlSNy2dC9R1DWxYzmIgJ/e4reqNwYpSsZ1QALe4dY7At1FGdNs8mEzTbWk2JTbFJoYsTQhKcdq0vPSZz/D+W29D13B6dMrR6Tnn64rf/Ot/gy/+0i+htOb03n3efv01dndm7Cxm7O7ukFhNnmcC5PU567KkbVoxUustqHgvT864ePyI3Wu3UFZH5jmxHvLxJ92/iWMDzOkxNBgDuaESEZwkMlHbz3ctags81ko09Gw+ARRKNxg0iU1YLy+oLs7xXUdeTLBpRu97KTr0jJuK0jKLHQFlxVQjn+/QVSVdU2OsRtsUnWSkIVCWa4ITfbvZYs5qucRrjVIJddNhk5QsFmNsEufwVnANxGKLGr8PldvBmVQkVQyKTRVeXmPzMyC6h8iQdmHQCmZr8788p2CzPg5zeRsQG+ccQOgJQRxRPcO98uJOnaWiIdRHF9x+IzPRty14T2ozducC0mVZSlrIRmGiEZGwUQxKi3wEwiUZuy7Gtu6nBEtyjmrz2RQwrMNKmCVqqJSPAbAE4puXU3HdGX4xJKsyJkNQhCD7gjY2bvYCICT5hKyYUa/PWZ+dUq6WePMI0hybT8kW17A2o+qW2L7CZPNx3fnQOfGhf/3ZPzbASBynIVBWJcFDkec4pdk9OCRNM86OjoWRUNdoI+yd+c5CWoZR4zgz2oAHrYduip6qrlFKtOP7vsdmKWme0zQ1SZrifWA6mVCVJWkqjtht09J1PXmRAcNYZ5RVOjk5QSlh3YQYQEkbPTgnLbEbjdONbFII0l2jlKF33SjHFAij1rExloFV6UIY5ZxCLFQOklNtKzqFEtAFvIPJZMbuzdv8tf/h32bn4BpBmxF0Ggq6sfxxiWEnAJl0KvV9J3InXYcyQPAE37NaX+CA559/HptkdD7QrWv+8Pf+Md/9i29wdP8+eW65ce2QNLUkqcUoCZiz6Zxnf+5T3Lx7l+XpGb0L+KCY7+yMQNe6rDg/O6fvPKcnJ3R9z+3pHfpWjEaS3T1sYnj3zTeZzxf0zrO7u0ea5wTv8HrT1TCmkGPB58lx99SxeGXtfdrftx939TH//woQY7QAqdqgbCoYsBKWHkEaoVXQiL7nAMky7hMQ75ceACWF0harrTB8jUNbL0Bf0pKkBVk+YXl2Rtc0BL9iai318pScXfLFPiqdohJhyZarC6qYIHVNM5IiZE8IKAf4XnSQ8xzvpDvN+I6gDQEnZq7aYozFJmksSFwukgKgDZb4OXTUx96uwgBqMEz1A+EgFiq1ASWSM1ppsiwhj/qEA8CJ73EBkX1z3aY6HAsxrutFakdZ5vt7JElKkibYrJAuPCV7p/eieR+s6Bkr5BqMcPUQJAovDK0SBk18eTeZZ77rRAJkfUG1OqderwmxQyJNMybzXUxeoJMEm09JiynGZijEy0P5FJ3kke28ioQNh/Z9fHuH71u6vgeT0ruAXS7JZiIDaPMp2gdhL+tEihJbne/x0giBRxt2b9xBmxSDi5Hc5aLfhx2fuLkcabMbUgVb6M4GCJVbHUS2xBjapibNBcT13vPNr/85O/MZP/fKpzi59xDXVSitYzE2Z3d3l7btxphwkBQc4kdrLUqJZFKSJCRWTOjSxGLi5RyMosZzivfDx0LtkAhL/WZjdB4CURYjEhqih84gwSjEiVjQ3yJGbMtBXCZUXF3nwUYG3b337/PMM3clv1PyHm5rPQte2LFVVYPSNG1L23UQJK/v+p6yKmPBNGoxz2ZiPjebMlvMufPsMyTW8p2/+AZd3dBFg6wBHK6MEqKY99EfSNYPZRQ3nn2Gt374Y9qqZjKf0Z+fszw5QznPn//xH5NlGWdnp/RVSZbn7B/skecZWZaK7v9EzHO1USObWw/YRoxlhlgohDB+H+511/XR+E5A8bZuaNoG1zs6J/lB1/Z4ryjXFWcnK87OTzk+PgGkIH7r2Wf4wpe+KLFQYvj0Fz7P2eOHAg3HsTuo3GyHyB9lbn6i5u5PcXxYoftpa9s2uP/E34Z9KS4Yw/3WkVI8PE9rhetaluenrJYXKDyTPMMoaF3LfFJwdn6GUoq6asmygvv373Pr9m36rse1Qt5r6oa+EyzLxS5ym1ghvtU1hMDBwcFoljadTrm4uBhZwW3XjDH34eHhKONWFMUlbGcymTJ4WnkvfiADgJllGffu3RtN3LTRVHXNZDqlrhvSLOOrX/gFXvi5T4nPFCILqZXGKenuySdTPvPzn+OtN97mK1/5ZW7euIXJUtq2wWZp3OsBrfB4vFJYk9K2NTjHv/jjP+af/ZN/wgvPPUd5sSLJLG3T8c777/Krv/mb3HrmDp6AQdbUyXzO3/zbf4ez8wte//6ruLZjf2+Pk6NjlFIcHx+zt7NDmqbcv3+f4DxVVTGdTZnMJkwmE/YjZrazsyOY0fICbcTkTwp/stf3fU9RFMxms420R1w3Dw8Pubi4ELwDRZ7n1GVFGk35NBCc59q1a1hrWS6X1NHLaSfbJcsT5os5feyylOISbMdYH6fQ8VMxh68yeuIP8vegmO/u8crnf4Effu/bGA+ZMZydX3B6dkYb3cbjeoxSIr4tWoJR+iBIoghDh2bUK0ME5GWPU1tbimhjqahr0jcd2mtyuyCxSWSHDu3MCOgTGNF0kU2IgCxKgM6mjn+zZMWUmwcict13rSRebcM7bx6NVdTgenzbjhUVjOHw+iHLi3O0SXGup3We1nV0zgHRUMSaTbXYD+6UVxci0aYZGABZZiGIbAVKhMsHhokZxf7BGoXyUbc4BqXSFhS2QE0Bp4ZgRAS3Ly+IQzCgCbi+o3eeuumo6050oXrRbhsCBmFAx/Nl2IUGkElARh2Hn2YwF5EFzWi9cXBV0DY12moSZbBaYxOF15o6KJ594VN8+Vd/la7rePvNd7j//kPZuLXl3/uf/0d87Td/E4ymrUp+93f+M6Zasb+7YFLkFLkEZXK5NK3qKIqc4Hpa15MkhrzIMVpTLi/oyhWua/BBZExGOHArIPokHCNAF+fT9uY3yjAgDrhd24rBi4us+KhnLcZwMblTGpNkoK1cp1jYMb0jy3OU2eiMSQuYH4scxibCfFAKhxio+RAoJpCmGTpNSQgok6KD495bP8K1jrt373J2ckJTruNYY8AaRyD2Kot32xBi3NAZHudjoWkTrG3AjMtA7zagK0lTGAFpNSaDlwOt7TbopwEigUGnaJNkjTdCyXhL04QQJTDS+PsBvBl0Vn0I45qijBSrBobH1bV7c98vSzAMYND2Z90UFgYgGwgOFcRBPcQuBmMM6IH5poR9EoHliMiP6yUwivSPr69AIcAwQWO1xrsEdIsyCZPY3bD2R6xOj7BJznRxjWJxAFrMN/umwqSz+FpPB6A2c+GTeWzD6xDzV0ChKbJcJHgUKGMJwTCZzphmBU1ZcnpyzGq1lGsVnBQivHRjeBNGExmdJuSZtKfv7O3w/2Pvz4Jty7LzPOybzWp3c7rbZ+bNvqqyKqsBUARAQCABmiIoiqQoWQRNRsimHI5whByySUdY4dCTHxR+sxQKSwyHuhd1lMSQRVKkQEIUCBAgWCCA6pusqmxvZt7+nLPb1c45/TDmWnufkzeroWSrEuEVce+595x99l7NbMb4xz/+nxAia0a0oXvv6OOYtdaSjCZwwhAeEiJJIHeM8UHrt23bneGcEjOovtrie4dWGoLHRRZe8FJwGN67izrBAztfK6mMj/djTy/RAdrFeRKQoooP9F0tpg9AU9W4vqfddqzqmh//iT/A8c2boC3ax2R6XCt3d1/MfDTKR3aec5wvHnP66AH333mXl24/y2qzYX5yyPn6nNV2xVPPv8TJjVu43lOt1vzuP/wtvv3Vr9IuFqTBMy8KTo6PybKEtq6YzmaYsuC5Vz5B1Ta89tq3uHXlOkfzQ3xTsd4smE+nlJMJjetwb77N8nRJXdd4HXDv9GJkFALPPvss22pDOZly7dYtvNa89t3v8PJLL5EXRdxzxYhv0J7eB7PgwxOkHzZp/GGC1O+XoH2Ujv09af+6tFQXRIosSaO8yIiFyr8jeBmi/vrICInx43CogSkY11uUxpi4N2olSViUGZjOZ6yWnq6padYrjDZUQeK4bH5Cfus22+UUylPyusI1wqrtuibORymIBMANCTAXC29h3FtlT7BJBtrsMDYuAosXWXURXN1ft8OgwXnxe7L9qjERg7j+KI2xFrP3GzsWMyO4LMVKKaAC5PF+2SSaOceFNvhAT2QqASo4lBcmtQ77BVC1Bw4M1zn8BQSH61pc09BsVmxXC+pqi1KaJJ+QFQW2mJBOjygPr9E14pKeZLk8c5TswV2DsmIw2Kd5ZHOCayoA+q6lbWpU1+F8T7Ne4IDQ17TVluLwhGIyx/cKZcCFXorGw57vewERnaPZrnn8/vscXb8l7u57D/EHmZsfPXBpGIPD+Ly8+8ZrGsZT1I28+967XLv1LJPJBJRIA1x96mn+uT//F/iv/5P/HO/uopV0dBhrqKuKcjIdXe1BuhltkoiGrTZYq7GJlZzZGJL478FAdj/G3GfwqqFwMoKSjOPS712SJ4ysPB/CWJiRvJK4nqixGLnvBTMQB/Zj7914kPz0hedfjL4EHmtF9kCM3Q0+CMGr7yV/DD6IwW3T0bTSYt33YnYbYGTJDRrDk/mMw5Njnn3+ee69/14shm+lMBaGwrEQOrRW9FY6hYaCUegcaV6wOD3n7rvvoYKso73r2SyEefidb3yT519+kbZtUMEzn08py5w8Fxmt6bQkTZPYaSWG9cFfjPuHfGIoNgz3cChUr9cbNpst223FdrOhqRpC8CNLs3OO8/MVq9WW7aai60QGoChyJuWEIi/Ybja8+84dPnF4QlBwdO0KTbXi0aOHXL321A4chifuRd93Rnzk5vAPdnyvzoD9fHL4/z4w/IF7MrzXAMaP77Pbq4SoIN93bSNSpX0L3pEYTVPX6ACrxTlFlvH48WMOj47ZrCuapuXKlavMZzNWi0UEZlOauuHRo0fjnrder9FaU0SAsus6jo+PaZoa5/rI4neyh4dAmqZi0Bg1veu6FumIGLdPp9OYq0rOoLXCWkPbtTx89ICTkxNSkxBCLvE7Qs4IELuhNG+99SYf/+xn5Hz7Hg24aPRmTYLre9I858/82T8re2rErJI8l3vJHslRDV0RHqM0v/Gbv87vfOEfcfXokM3iHA10vacPgeu3bvLqp1+VRp6gRwlX5x3GWv7YP/vPst1u+fqXvszDR484PDigqWpmszmL8wVKKR4+fEjwgel0Rhk1zj/16qvUTcM7d+4QQuDgcI66cZ0H9+9jtEEp2FZbprMpaZpw69ZNnn76KZwTD4ePf/xjvPvuu+PzSIsUa0TruSgK2ug1oJQiTRLxSmpb0YBOUpIsuyAJpLWiD8PavL8u/3Dx8w/NHP6wYwAqVFCgLfMr1/nYq5/lzW9+izyfMF0uOTg6Zr1exzYRhTDtJDAegNrhYQ1SC33v8M7j+y5+Rvy0EG/ECD5Jwtl0oqUYfGA2LynK7AJzb9zT41we6dY6QFC0dc/k4AivlxwcHlDkBevFirvvvkPftyTaiHaZUqREs7TghVWb57LgRqfJ1ePHEGDr1jTaoLSlD4GyLMjSDNf3KARk0cIDkFOLC00fgZfh3AfAXBupOFgjTrbDz8amkQEE9350LhY2cDTig9gmFCUlAGX0OJhCZFYNN2xY/Oq2o+kcKs05W2zGm9lHYw8/yGIE6Ps4WJUshEObldUCf2ul0N6NpnkhQJoYYbIZjVEJfRBmhFHSZpjkGVeeusXtF1/i6edf4PjKVdEZbhp+/Cc+z68tz/nD/8wv8rFPf44rV6/iCNx/931+5b/5f7N4912uHR8wOyiZzmakRpNYCf69k+pdnib4TDQ480lBOZ3w8N5Dtssl6/NTuroin+aoPd2oS42OP7LHAIYyyC2oYbTspoQZ9A4Hk6nNmq6tSW1K6M0uwIxk4qANOivAOTIlrc3VZkVb13S9SMKkPpMW0QHMdD3O+2gi1VLFFqnDkyscHMxZLlZsFgvs8QnKWLLC0FRbWh9IsoLr10+o6pbprKOPjD8xvDKxdXR/gkfNKL0zOxqZunJTdsmkCqLrNfxMqVgd3QUIo3HVHjC7u7dD0/yHAMCXCmr7zIqhvXA4n91rd89JEQhGzkvrvYJSBAyUUhgl7B65Xos4rl9MoIeikFJcuNYQIsC1d24CVqu9P8SiAvi2od2sqVYLmrqW9cJoinJCkhfYfEKSZdIKpJPxPu+l5GKSEqMnyUXVWKBDSduQ1kbMipwkrMXU0dcbmu2W7dkj6sUp8xvPEpQmKwpcvRz3hQ87fhCG04/6sR+kjsFpEFau6AwOSDwEm4AyZFPN1Sxn3jZst2vatpL92ilccJjUkCQpmRV9q2qzZrvZUG039G0nhjN7t02AKgFqm6YZQYn9RNFG/cTL537jxo1RExSjdlrnCgJ+1y3kxUAuxHnedf34foN5KWGQlooxiFZRxqjH+SCMOVTsFpJEjCDsrL7v6dqWvutZryqaEHjppZfGfXQolI51n/G2KmGGIImWbGqBw8M5D+/e4c3vfpv1w4dU2y02S5kdTLFFycnRCTrAZrnivbfewjUt1WYlRp14JvMZk9kU+h7XdbR1w+H8gDLPuXbjBr/727/DnW2N9z3GaPIsR5mUw/kBL33iEzz/8nv86t/971mdnY9sEY0iMZb37rzLweEcp+D++3f52Kuv4gJ897uv8/xzz1JMJihj8EHhgxpqU+M4G57d/rr3PyZR/F4snR/k9R/FOTyCA7vvMAwq37s9HfjLRTxQKuBdR19XuF6KsNZaVFaSpFmM+3aaxJI4iamdD0N0KXuAAECWJMuYzudsFuf0dUWbpKQK6ZILnr7ryIoZBo3PK/qmpt9uSV0jyd+gXRpCBLY8JrZVjt1vEVQbJOOGojIh7MWZu/GkYFxLLjeA7N5v97tqfE3Ytc/v3WSRv1Dj/VHaYKL53O5B7CBdNyRWSiRq1FB8Hu+vi/JzFt23JFrL/hQTsJ3B5XDq+8UTNZ6wa2tcs6HebKiXC9EwVYp8PqOcHZBkE1RRMrt2m3x+DfB419N2jRhwa0vbbEhsgnc9OIe2mRA9gsOmOYRAGjxp18h61zWi8993tO0GvxLt0tA7stkBWWkIXpLLIZYI0TQJ73F1jeq7UfZk2NM/UMD5HkDL5XH9o3zsZABAciMf4/+L6+AQIwUck7Lk4d33uf/uOzz/8sdQWvNTP/dzfPfN7/Lrv/brXHnqFtYaHt55JzJooyb+YECuxdA5KwsSm6CNrN/W6JE8k0TpAqGC7li8+2DtxbVDPRE03p0/F74/AEkQ5ZmUSN6EAU1WO7bwZSmJy8zi4L2wg0MYWXQA+IDvHS44lI3MfvyY+7d1Tds31E1NXYupcu8ck+mU2WRKlmdMZzOSIufqrRtcv3GTN77zHZrNhrqqaetmZOI2bU2SJhIjaQHOtNbxmjxFUXDl5IS7b71DkeV4FXj1c5/ljTde59G9B9A7NssFk9mULC8xwVGUBVmWUE4yiiIjy5IICutITNgZ7e4D5sLqc4AYt9d1y3q9jozpitVqzWazYbvZ0redvKapBSD3iGSeU9gkpSwnHF05ZDLJWa/EXEs9MPzVBw/4v37iE9g0xxjLyfVr3Hnrba6cXJc5zcXi3JP2m3FvYrcI/7Dswx/143tdy+XcCS6aN+7/+4m//4F/xPvnA6ggBYhYLHR9x3azpq1rjBKSXlPXWKNFlzx4rpyccHa+ZD47xJqGd99+m+1mw3K5jCbwHXVVy9zDR1NKObe33nqLJEkoipzNZs3Vq1dIEkuW5SyXS/Iio417xNHREQB5IdJFq+VyZBBXVYXSiq5ryfKUtm3ZbNfkec7JyTGTSclmsyHLRSt9tV5z/fi6ANbGkljLZD7nK1/8Ep//mT8onj8+YFKLD9D1/U4mEjBKOrilO38o0vlRElMRMGhc7/idL/wjfvNXf41rJ0ckSlPk0v04mxecrjacnS9pXQ/D+gSAdFi1fceVq9f4l/7lf5nTe/f4zd/4TX77H30BFwKnp6dM8gJtDHfv3efHfuxznJ8vyIucT3zyk/zY539CyBVa8ztf+AJf/+pX6fqeyWxKcILLHU1L2q6VDoeyoItdEMOa5lxP3wvAnyZZ7PoXlnmaijrBoA9dbbdkWUZZlKRFQdW29F1LhM2H5RmlFQp9AVv9/zk4PIAj8h9hAgWtmB1d5ZkXOt757nexWc7s4IiqriLg66L8gAQhg8awc3LDJKlzeBfA91SbrehQ7jnkBh9G9lnXO7bdhtW2pvc9Te84PjlA6Qla70m1RUmAAUMaxf99AOWZJxl13RLalu3pKW0Uii+txuQTaUULg+axNFT1nWiq9s4LYt97qBsBc42hKOfksxmu97htxWaxxhftuMGHIAwdTwAnzuZN50BBVqSEAK6XjdUHMcMzRpLdwUpuX7tXFiwkkB20xtSgLxsNJoLeDaSg6NthMOrI/pXg3HthQvS9Y1t3VF1H0y6wBAwi7eF8ZA3HwediIOU9WKtRRtOHgE1SkjQjyzOUChglA7jtOvCBznmCUZg05eTaNZ567lluPvMMSZKRFhmzgzl5MRH2uPM8eP997r77Ht/5+tdZPbzHQWL52hd+m/OzBfl0yuMHD/j2l75KrgM3rhxweFhSTkpSA2kqYGdiErySRaZterIsQSmo247NckXwnu12w3q9YLN4TD49AKK+bQDFReDjR/ZQewDfBw5h5tuo+6qtJc1LtDqjrbeYVCp2ovVsUdEJVMV5rpQlUQU6uFGXtKkq6s0K5zqsTQS8IbanIfPPB016eIP50yXre+/S9mvmxyfcfedtjDakkwKb5WR5SVNVJPmEnkCSJcwODmm3DU29wUU2oDXiyizB2c6QY5CAUIrY2irajB41sqxUkLUmZBl+W6ETNRrSyRqzl/z43f30eNBDcUztzb8duKL0Lij80IB8BLpkLY2zVjCn+C8J0DX7obiKTI4hoBed5/jZ2qBNAmEwC9ljTrNLGNSwm4zlpfgzokSE0kSfawiOvqlpVgtO792VQh8KbRTaWrKjGyyW5/j795gdHjE9PELnpUhbKLsnSyH3T++ZDIFCmSDO9t6PY8nYRADDXmNMRlbOSdYbmnrLdvmYrmmwxRRtNL2XrgVtku87JcKHTYcfseNJHTuXfz4c47gZo36FV+CNJCzEuVBYS9YXMRjVrNdrQNE2HV3To9YbHj18QNs2dK3Iy7iuRyuRdegaMbdyXUtd1SzOF1RVxXQ6iV1Awig2Y5vrTl4lRBB7ONquxbte3Mh7KWL2vbRW9n2PVlqMX32gaVuMtXHP73dFaSXFUheBGaM1Jomva1uMTWi7LmoLB9qmGdk6Q+dA3Tc8PFvw3/6Nv8Gf/4t/kawwUeJFj6oSY42EmKRFACuoADqwOj1l8egBb73+HXj6NgfzA955403y2ZTP/oE/wGw6o1qt+e3f+Ad02y3VesNmuaTvOw6OjyjnM5QxJMrw/r0HvLN+m4NHjzm8dp2AYjaZsFksOD4+YLM6IysK0umc51/+OMfXrnP11tN8+5uv8dBaFqePhcHtPMoHAaXXW0yW8PYbb/HdN97iT/yZP0NRTHj99dd59pnbHF65CsHJmhllqi4nP5dBh+83dvcLGD9sMva9Xvtkfcsf0SPEOGHMs/ercxCITFmdSmzcCzFghBSHhKZvce2GarsFpdHKYOuGUJSkRQlmMD6JnTFaWsEZtLmDFIjRBpUIYJtqg+t7tps12+1GQFGtaaslxvW4jbBmTJqQFiVJltE3Na5tRwYz3gujuN0S3JC8RekH16JsgklSVNS1HVaqwMWkZWA3anbA8vAzfQEYdrvfi/dRyCkiMzEWbmKMG0I/3nflPGEPHL48hmVu7+++8bZFs0uT5FjfE/oOFePcATDcfyspy+wKnWHopPEe3zd02xX1ckG1XdG3rcRd5ZTJ/BCbFmhrpcjVVgTE7E8bjQWslWJAbnN8X+Ei60z7XjSmXS9dPVGiJ7Q1uJ7UO/Jiiu9b2mbLdrXEtS2rxw/o2wqlwGaFgP0e0e8P0u3VtVua7XlkgyWgUiQWHi44xikx8Bk6sz7KzH8xNAcYiDPEPeDD92KTJMwPDrjz7h2ee/EFQBL+P/wLf4R/99/6t/hLf/kv89/81f+cgHSMzedzhnio7zuysmAwaBzMlkV2cdg3hyJEEBk2bRgIK4OkjB0MLcPFfffyXNv/2QB2DT8b2IIDCSFEaTi/Z5Q8SkpeWLuJoITk9Qo9ds9djmVk/1UjU32In13v6PqOqqpZr9aAAK1JklDkOeWkpJxMyMqCm0/d4oUXX+LLX/oSzbaiXq/ZbrdUVSWa3b2naQTUUoqRCTmY3t68dYumrnnz9TfQWglbMsv4jV//NdqmxXvHdrOh7luWZ2ecHB1iNRwczJhMSiaTkul0QpqmY+wzjPnBQHe4p8N9AzH1Wq9WkSUskoZ1VbFarVgul1RVRVXX49hIkgQNJHlKCAqbSB70uc//OOenj/jmV7/K1cND0izjxsdeRnuPRUHQ6KTkyrWb49gdOhwG5OaD+3jY+zr8+yMSMP8Qx4flY9/vd/bJPR/6OuByhKKUAh0lDhHcJjjx+JFunJ7UWtbLJYlVtFGzuqoa5vM5zz5zm9PHZ9EDoMN7T57n9G1HUzeRUNkLuaMSLVuApmmYz2dorZjNplhrUBrOzh9HwzPDdDaLUhCGqqooJxOckw7gvu/ZVtKJYq0dpSSSNCXNshEDbNqWANgkoYqvPzw8ZLFY0LYdXdtxfnaG0oa2qrCFeO3oSE40RgpRzntsjF0U0skcYp6qYuykAhLXetFCf/+tOzx762n6piZRivViBShWm4rzquIX/sgf5dkXXqCpGjFtjbG7rD0iU5qXJU899xx/7vZt2qbh7/7tX+YTH/84qU148cUXOTw+4t69e+RlQTmfcfXmDW4+9yz1dgtK8eqnX+XOe++SWsvZ6RkahVGKIs8lfkozVps1n/r0Z3nttW/ROc+Ln3iFb732bTAJpve0naMsSvI8Z71ZMZvNntgRfe3aNRbrVewoEW8w1/ci2UUgS7O4Vqs9D7f/L4HDH/7GwwIyPDz5X1tvOH18n6B6iklOPimYMEPFBdh7YQmHzo8aKVVTi85kmpGkKcvlir5p2CyXtHUd2bYIuOOjhINWbOqKpnNMJoH1eiUbUy+VT6UVatQdlTOWthEVafEJ2nlc1VBv1xhjOT6eYrRCBb27uUEEtj0epQ1N01PXDa2Tz0mzHKs1B0eHHJ5cwfUOBVT1lsePHlJvtiTaUBY51mqSRG6/tRJ0Jii89tR0pFmBCo6+a2jrDjT0nWwUiTFoL23XQSmC1tEtevdEvA9oPbTZx4pXfIah7zFaoZU4w3adLHbW2gtaV86L+VXTtCKQ70XD0SqNDoOjrTAYiC0SfXAoFEmZ0TonrKmjQ1759Gf4xCc/JTqXqcXYyEoMsVXSB9brNUaLoUM5KQVYUDJW1ucL3n3rDr5veP/Ou9y/e4/V44ekSpFohQ4d63XDarnm3Tvv4tqGLLHMZxOunBxydFQwnSZkqeh0oQCbEvoe8BCDQOcdVV3TNJL4GGNo2pbGKZL5lQvV1o/UZrnHcrjAYomFA2FvG7CZJHA2xdiUZrMmzSeiQ+wdSttoMscuOQ9SpEnyibT/axs3h1j57nqamDB4F5lLwdOjODo4pus8Xed44507PPepI46eeZmubZlfu8ri8X0SbUjSnDRtWC6XXLl6VVplJiVtu6VpGtI8xZp8vNzxGpVGhD99dGsOO8ZhTF622y15ktB6T15MaZZrUg1BW9wYXO+AU/SgNb0LnJz3mEtskl0SzPi9y+yZASTbZ1kwgLZpLs7PviVEfd/94Ho/QNn/fug9OtEC8rROgNu4uYyspn0Qe39MXGKcDOcdReiEQVqtWZyf0jQNs4MDknJGSAqOn3kelGF551tsmi1nDx/QbrcU80OKgyNCNhPDLa1Fp1L5mGwZ9uU7YM98c7hXOmonJ560nJEXCwH46hoi8NX3skZ510Ny8fp+vx1PYnqEEcGUVUoDqIBDRVdkYWVrpemjHny1ragHlkrvSJKMkysnPHzwQO5vE/fcqO3poku3cz2EEPeGDuedmCYkO2B4SC6JAOvlcx6Yw8qDd9A0HSEomq5ms6nomm5MoOuqEbZNZBEYY8a9yhhD23Yk0cRhSETTNOX2s7e5+/771Is1vRN9tOGcjTH0ztP1PVVdce/efaqq4Vf+5t9is6n43/0r/wpZWY73czzUjjVM/Kn3DvqOr33xi/wn/9F/yHQy4/jaVZ56+lmuPf0Mr7/1Nk0nmoFJmrBZLOg2G5bLFR//5Cf48hd/lyvXrlIWBcFBOZ/xyqc+yZ133mF2fMRmteLwSs+VKyc0qwVFWfD2nbeZzOb8i//cP082mUEwdFXF/PCA0DWk1rBaLqmaGrVcsK0rDo+OKNQEa3vysmS73nLl+jWKvOCt734X5z2HxycYbXfFIS7vG3Ls66d/v+MyKPBhSdmTPufy936QxOxH69jbB/Yud3cP5BXamjFGc10n+2q8bwMTzztP13b0Xc9kNsfYnL6rWS/PmfQt2ewANZi8BWHXqrgHypoqusNjIdFYeu/JJzOC0tTbDXW1FQOV3tHVrRi/IJ1FWTlFJTlJUZJkuWgPe5G6wDuaraMNzS5hjPunNjupmf098vsVCz5YMLgICIucix+vbYhDh2PQTL24Xw7vt/MY2H8mI3QddsQKQsB3YuoUvENb88RxuF/4GkGECArHM8a3Nd12yfrsMdVyBUqRFCXlbE5STkjKGdqm2CTFJgVEB/oktaA0Vue7Iq7WmLTApBm+F8A6BAGHJfCXfduWU/qxdVmKejYvycs528U5m9WCerUkdD3FwSE2Fakwm6QCZnct7Up0p1Wao7MUlaX40OF9lK5CcTHiefI8/0ixDyMzl5hfqQvbwF7sFCexJ6Ct5ejkCl0vMh4meio89/yLfO7Hf4L//r/725w/fEQWJQWdc1LYdD1t29IHT5aXMs60gO+d77Fa07meLBXjVaWGOG5npjx0u/TOS5we5ZaexO7dBxxGcoHWI6AwrB1KhZENOxgcXY4/L6zrcXr20fOm930Ed6D3F8FSpRQqKLwTjwmpXwUpGHsvJmsIoDv8KcuS6XRKOZ2Sz6dcv3mDb339a5w/fETT1GxWAg7X0UxKwOl+BIeHvd9aizWGe++9T5KmBBVIklSkL+uGpmuFsac1QXmyNOHK8REq5otFkTGZlhwcHJKm2Ug025fUgstxtse5wHZbc3Z6zna9YrupWC1XVFVN38vaXOQlWhvp5tFi2FzmJWiNySy3n7nNF/7hP+SlVz7Gi6+8wn/8H/4HzA8OmZ0c8/FXXuGlz3xWGNBE4oUyaCugspDVL+5HT2bA7o2ZPXzho7Pv/uDH9wOJL+da+6994u+MZJshetz9zkD0EXA4jLmYj8QWH/NIITpZ6rrCWjGGWy3XVNuGarMlzTL80Fnv/aglvFqtSNOU2WyG957VasWVK1d2sRwecaUyzGYTDg/nWJtQ1aJzvd1uOTg4AKCua7IsA2QODvIsQwzetq1ooEfZE6UUWZbRdZ3ML2t555136NqWLBMW+8PTU9abLe/feZfnXv6YxBouzhUfkObxaKg6SpyqcatWSuG6HqWkK8gow/r8jPPHZyjvsEq8DA4PjumdZ+s7fuLTn+HzP/MzaG2xNn5efI7rzQqbCKHkzTff5IXnn8cqzZ//l/43FFnJf/mf/1WsNmRFyf/hL/+f+Xf+7X+bbbUln0x4+PhxlMHIhIDiHZ/9sR8jtQkPHjzg8cNHaEQi6Oj4mKtXr6BQPP/ii7z2ne9wcHyMTizXb91ktV4zn80w2tB1LU3VkmQZxycntF3HcrmEXjoGlVKsViuatsZmIulX1Vs22w0HhylaacSnXoiMsm7/cGSKfyJDug8eagykRLxfqvzr88dUqwWpNQSl6fsO34uJku+6sfIhoJGn6zuU87i6oeoXOIKwnkKQFuVouqaQSkjX9VGnI6FfrUgTy6zMSPFkRUqa7KraO/Bj2MSiXAHg+15MnYzCTApQChc6AooQ9BgUhH4weFN0nRNjqBBI05ysyEmsGCpVqxXnDx8TnCMxlqA8eZaSlYW0kGuiKZDcs8H4ra5bltuG4xvXSY1h+fghiVHkibkQwvY+kBYZfdvECnNsbwg7YykQsCCgUEajMCO47byTTTOIyLU2Fm0Mrt9Vj33wkS0sxkKDKYMKcr49AT0yp6JrJD1tAJul3HjheT72yU/yuc//OHk5wdgkLpTy3pLo9HRNy2a54cH9e1TbihA5igrFZr3m7PED7t95i3orJh2bbc3h4QGz2ZxrV66zWpyzWq1Yr4V94XtHZjT50ZxyknFwMOFoNmE6SSnyBKM11ig6H8TwCo/vA9ooVBdwnZwTPpClon/jfQAPeZrFwGC3UH10jouJzD7APbJHtcakGSYRgDjNCzbnG/q6QmeiSWmGIEKJ3pCQCLyYFCqFyUs0CotnYhP6KIbfRnOFPuqJKWNRyvAovMfNj78C4TYvz6/z8o//QZSCarOmLAq6pqPZrvCuBa0w1kbdwoQkLshd30k3gvfYRBjKQ+DrYoEidD4KO4Y4n3ebfJqkLBbn2GJCYjQaT+812guYE8yuyCKbthRajJGROkhPhAiAj/dbDf8fggiiTukA3skGqGOw4IfnMDynXjTMXVQi10gy+GFBiTzHgTkNBBdZJTsjkScGdmp3uh82rlU8f7zH9Z3oUStZO1Sac+Wp26Jb266ZHV8lSXPq9ZLV4zM253eYPeW5/dmPSVFts6KrN+ggkjIRsgcugm77QZg2Bu8sQfeYJCMrJ6TbTWSzyHtkeUGiJakZEv9dm83uvT4yiek/wRGGoDTsICntozyRc9Ih0/c8uHuP+XzG2ekpqRbw+MHdBxhtePD+Xc5OTzmYz6Ul1HUE77BG07cCPjR1TbXd0jUt2+12NKCYzw9GWRodW2AvMy1CEA3AQVux6xxd29O2jtVqw2Zb03VS6V6t1tS1BKwDK6p3AgoPciqDpASI2a1obTO2sS8WC6qqjgXdMwaAqW5qtnVN3YjpS9e0qKCZphnf+N0v8st//W/wJ//FfxGdJJJU7c2NC3BxCNA7vvu1r/Ptr36Dl154mc/9xOd59bOfo5zNaZuWRd1y5cZNqrYVo9qu5fzsMefLJb3zZNGkIjHSvqcT8Uq4dvMGOhMT1vn8gGq1whjFo/vv8/xzz9H2jsenp9yaHuL6wHde+w5t3XJ8JEZaQSvcYsG2qWm6lrQo6J3ELGkiXUlKayazA178+Cd47WtfoW1qrl2/gbIJISQRIPgge/37JYmXgYfLP3vSsT/nL4Nvvx8KPfvXEAZUGMbFt20avHNSi3NSgJf4Kq7rkZEbvGj2p0VJkuckbcN6eU7vA+XBIcqKs7d0iQWR5okdKF55Bt0+FAIEoigmMn+2qxXrxYIQkHGYJlF3N8W7QD4JdEHIG8pqFg8fEboW37Usl0uSJMMkYgo57kWI0SquFy36cHkMDDrCO1Blf8x576Nsw9Aqu8ei0Tu5NMJFdo0fW5ViVDkmyONN33sAe8zKAeQKLp6DJKxKDQn9Dikc3uXCyLw0dof1wrUtzWbJ9vwx29USHwLT2RHlwQHJ9ACT5aRFAcpgTIa2GSYvRI5j2KD3PigET1utZafzDm0tJikwqYYgcXvwDu87grLYVHwCXN/huprQtRidkKQ52+UpbVXRdy0mzUiLAmNTVAh0bUO1XGC0YXJ0gkoLVJLiuhZl0vEW7h6p/KPvBSQY2uxRHz1wKbCvIy3H5Xk8PGUfPCookqxgOj3g0f37TCYT+j5wcHyFF154nr/+n/2nFMaCM+S5MPsG/W7nHK3r6XsxMhq7a2PHmIYYJ4ZYBNXS8Rbnho4MY6WVdB+0AqIYffHcLxf29oFM0coVfxH5bIMPQ1Ffjc84hBB9A/beI06NoYtuMpuyWi4uMIeHfX/0AQmR5BRBaZFFARcln0A0hrMs4+TkRMy0plNmhwd8/NOf4ptf/Sqr03O6umG73XB2fkbX9hGsFbN7pW3sZNjp/PZ9T2Is+EDTNCijyVIxlGzblr7rpBuRwHQ2ZVKUWIJ0n6aGrEg5ODgiz/MoJ2EEsB9WPC2klP0iWe96NuuKx4/PWZ4vWS8WbDYbqqoR/eSjQyaTqQByCpzrMCbBO0WSZgQNJjHcvXOHzeKc3/ntL/DTf+gXeOXTn8a3Nbeff4GDkxNObj4lnQoM61W8dqTjd2eWNo6K/SWNMXpU++N7V8z8/Xp8rzhl2If2yThP+p0f6DMGcFi+g3OOqqqi30Ac/17MDJ2XNcgmCWdnp1gtoGvbNOR5zp07dyjLkq7raNuW2WyGMSbKvbUcHckYreua69evorUQEge94cHbQ2stcgVlOWoOF9GLQvb1ZJQ38MGRpglZnkZpto40FbZwkiQoLXN2s96QJsLUJwS6ruXo4BAf4P79Bzzz3PNYm/DOnXd46pnb6Evjb+iqVyrsVuAAxoqUhNKauqr5u7/y97h37z7zyZTEGlzfiRZy2/GT/9TP8Lmf/im0l9jJx5i3b3v+8T/+bf6r/+q/5J/+xT/KH//jf5x//I++wLtvvcPP/6GfZ7vZ8vp3Xufo8Ihnn3ueP/e//otcuXLCX/7X/jX+g//g36eclFy9IXFy3dSYAMfXrvPsCy/QNi3P1y/RVDXL5ZLVcslkMuH46IjNZkNaFMwOD/Eo3nzjTV559dN885vfZDKfY410cvW96IkvVysAkjSlb2tQirpp6L2QwIw1JKlgW30vY8Ak6Y7UpqTroO9/uLH6QxvSffjPZBEdgiAdFL6TNvO2aaWA7XppF6lbmq6ObnoB30n1o40bgfOBSHtFhUCiLeDpvaPuezrvmB8d8WOf/jTOOd749rdZnZ8zOcio1huqEMjLlLLIRk3ei9VOaccZWkBCAOVlE9XxOpS3Yq5kBHyiE1OuoFN6J1VcbKBbr6irRsxEsgSlNbkxJGUqm1EAY9NxVAeIm27czOPi27QtOs+4de0Gm9WKxekp87IgKGHrBhfGCpFODHVbx/ZrAWmVUlh1UXOq33OUHsT3CZBNSpq2JY16w2L+42haScLzvCCgY9IsbC6FEoYeoBOLJ0SpCItGsaw3zE9O+IU/9HN8/JOf4vDkGGUEuJbP79ksV9y98y7vv/MO77zxBqvFGV3dUm+3+K7DxOQntcI8DSGQZilFkaOSDNJAqhNc23P+6DGn9x/Q9x1d24hWjdKkqSUrCw5mEw5mBfNpTp4lJKm0YA4BT5rnuCBAl0QzfqyK6wgwuT4GTCiWD+9z5+v/mKc/8Sr59Ch+/6N0qAE5upCwxLJyTKxAmwQ16AImCWgbzdqElTNsZvJrQxulVP+d7/DBkRSl6GvXFUp3BJvglaHzQNMSgqPtO3zfYLqet77+FQ5v3OaVn/ynsFkpzt1tg9awXK8os5Te92STOd5DvdkymUzI8pwsL2hXHc55nFckSnTYhpXKB0/wPXqw6WXHCBruhbWGrCgAT/34gQTizo9uqgGL8QGrYtJpiMZ8DtCxrdSMrORxrUFaSvBhXB+JFWGAYEWuwYUBn70YMIzPRsvD8RDZ+sAe6PKBqrZSgNn7uf7Aa/aEgGJhKRD08GQ/uM77uF553xOUgPNdXXN+vsS2jrQomM4OMdaS5JY0LcnzCUqnNOs1rQNtpPBgkxLvO/AdbbWh3YpmFlG8fwDvL7MMtU1Qrif0oNOcoC3Vasnp+29xcOMZsvIAleR0TU0IDmGMI+3/H7HZ+k90xPEyMHeG9V6j4vrW885bb/Ct114DY/j8T/40167d4mtf/D0e3L3LtSvXCN7TtsI6u3f3LnmWYazBuw6CF4kJYL1eUW0GcHiD1opr166QZglZnpCkFmMNqKgzygeBvSRJaJqGvmupqobTswXLVcVytabte5q6ZbVc4b0nMVZkJ3xPkorRIkFHHU037uN1lEQaiiHbjRg8SfG1EX2vvgdEeskj3TMqaIrJlLIoyGxGlpd8+xtf5713/gDPvPjimCvFNHhvD48liBD47nffZLuu+OynP02Rpjx6+JB531HOZvzsH/pZinLCP/qN3+Tb3/gG9WJJiMVxYzRZlmJtQpZmWCPt48oapgdzOuekTXazYrNaogJYbTg4nNP7wP07d6D3HF25xsMHd0lSQ9PWZHnG1WtXUUZzfr6grhsenp6RZ5kUzLTmv/yP/2P+2J/8E7zw8icoyym3nrnN229+l65tefr2bUnalR2TXhXXTvVDsIb3gd6xYGd3oedlJk7fi8aid57JZHKhTfcD4OqP+PE9z3DYdJWAPUobjELIDqomIDGbUWocz0ppjDaio+scve9I0wJtE1zfUS3OUSpQHIhm/2gspkTOQHKtJMY8TszGlCLJJJlAW6baUq1XrJdL2vU6dvKlpFmJIvo/oGLXWSdgdN+zOT8HrcknU5RRUjAOQfQQfUB7sL4DH/emC/dpYNcNc1df2EuBWPTb3dEdGDXEaR/cuWTsaZSKRnP74HDco3dvGef0HgA7xIsgMlg6AvVEj48RSB7f4rKm9BD1SwG9266pFwuq5YaAZnZ0RDE9JDs4YnrjNr7vILSYZILNZpiskAIs0p3gYgeHRpjfrm3wzWb0LfDeEbo2PnONsZnkH8GQaIvvOoLuUdairSUY0SXPCFir2S7PqDYLQrOl3qwQv0NL8EqMofMTJlefYXr9Ntqk9E2LNXJ9xO4m4nmIzwljoXIoVkoN/SMGEAdhoO4XES78HACF1VZAWaWYHh5y+vA9vv57/5hydkgxnZAn0gIeSstqU6F0ijGWPBdGrNYa73ox/u4V1uaAdAF458AYeh8IKnaCxtuotZj1+qAkb9khuAzosPhTCGiilInP9oPdbgLiD5IRAzioLq3ju7VYtIeHoo2KRHlF38NqsUDbHVN4/7MGcpRWCoYimDE4r6JcoRvbzMuy5PDwkNlshrWWPM+5eeMGb37r26wen7FcLjk7k6+7QvWcPM/Hz9JasV5v2G63u3MIgd71GKWxWLbbtUhOaIXJEoo0pchzZrMZiU1JjGFalhRFynRWkOYF1qbRnGsHBg+eIIMEB0gxe7OuOX18zumjx5yfntPUFQGYH86Zzefk5ZSTm0+zrSrKIqVraiE8eIXSFhMZjtOipJjPufncC8zmB/zxP/1nxNxeJ1IJiMGNVuDwdPWWRHsxsFSp3OuwX4j9fuN/GE8/+Jz5KB6XY5HLxep9ObQnve7Ce41/qyfctpGugnPSddf3PcEFUJq291htODs7pygK+r5nvdmSJCnL8wVpKqBs8IHj42NOT0+ZzWYsFiIBNUhKDHMuz3MODg6k2Kklbl0szjk6OsJaS13XkUxhOTs74+DggNVqNQKLw+fJe0KZif6wyFcIcWMymdD1IlehUOR5JozhVHy/1qsNSmm0gfV2y8P37/LNr30dpS1/7+//D/zSn/9fcXLlCiYaWw8x/bizX7qJ2hrauuHu/XscnRzxT/+JP4n2PV/58pejueOKo5Mr/PhP/bTsodry4P59/s3/x79JUzVMJgV3776P6zt+7wtf4Gd++qf5M3/6T/Nv/Bv/d37rN36Ls4eP6JoGYxLuvHOHf/+v/BX+3F/4C7z0yVf4F37plzg9fcwrr7xC5yT/DUBpE+q2Jc1y0qwgTWsODg5FpmNY31EoY7lx85ZIwzpHlhdcvXadLE1Ff7htyfKcvBB2eNs0MdbwpLkwuYuyIMksKtEURcFkMsFaI+tZIphj1wl+N2CdP8zxQzOHn8TeGAAieYySQQWlSLJsBNvoe5q+xTtP3zUszs7HC66rmr7r6Loeo7W0aNsEZaywIxJhLqAUqdbkNqVenPNrv/zLQCCxCdNJQbutUEFYumWWUBaXzOj2z1krCXoiDo2yMViW6uvI0PM9hoAyWjzrAB0BIbqeWZ5CLvolaQSc+77HKIsPgyHUrloq94i4QSuIOsXaGJx33HvnTYo0YZJnyEYjLLBBiVRrJT24amhtZ6xM9hqUD6P+rzIXE7hhgevqChtBK0/UfYrMjawoaXtP3UhLDkGCUq0NJJbZ0RF98JjYsoQPnK9X/MI/+yd4/uWXObx6hdlsjkJYAw/u3eP1b32LN157jXffeYe2adBeEh6jGRMA7F4Q7sXQTmtN19a4vhZ2dd/Ttz0uaILrROJDiWh3lomWcZlnzGZTJtOMw1lJZhUCbMo9cN6LCHojbuAaCRCC3zFXZIINmnYKh2jZbZfnErzLk/lhp87/vMeTTvfS92Tx0eO8y8sJzXKB6wTQ3Te52nfAHJhAiqhz1rcoo7FJSuMcOsnJJhablnQENqs17fqcrnV02w26q9mut9x49mVObj2DTTOu37qNdy0HJ1eplmdMD0/oHUxmhzx4+3Vs3cSENcVsDd7FCj1j+D4a0XnvRgfy/WNgFimlRM/b+5GpEILIqtTOc/3mDR699zaTVCq2Su9+b5ijwpI0Y3XZpiluAH/UTtYFJPDVRn/IWroLMmRD07iuiUH47ueXwd7hz2Aid/n7l99bRa1fpQb5AYVKMtIso622Tx4XyJqTpBlFOWW72nC+XJI0HWk+QWvDZDJBWQvGkk5nTLRmduMpDm/clhZVZLwYnQEpRVpis4Lt6T3Rghw1kz8on4ERIxGfpiRlST6bsl2u6JaP6eeH5MUMlEbbBAaw4Ulz4UPG/0f/CHHsCws9DMBT7+mamte+8VX+h1/5O7z66c9wcHRE3zum80O0STk+vkJVbVAo2q5nvVrRNA2r1UoSrMi6aeuapq5YLhbiAdA5yrLg6OiAclKS5QnlJEdbRZplUaNQWPbe7ySLhj/eSxGmbhoePjxlvW2wWcbXvv5VFosVLz7/PJNywuHBgbRbxYLyUPTt+918lT1CzGzruolYueyrPoj8RJ7n0WhHWBm9cyKhoCEtMrIs5aCM4yhLee1rX+Hp558jaC0AXlxgfC+AbZImUcMw5Rf/5J/iv+s63rtzh9vPPsvju+9x//07sQXdMCkmvP71b9BtNri+o2lrFouFJLzGRiaEwcR2PAikWUaRJtgs5+5776G8tL6G4LBaYxRUZ2fcWa1Ynz/i6KjkxtVPUW8r7rzxNibRHIVDlE24ev0m9+/f5/HDh6wjo+NkPuf07j2apmd+fMwzt2+hE82b3/4OqbVceepWlOPRO+Brb5190nE5Ubq47lzSsgwDU1OeYd933LnzLtPpdBx/t27dGtfJoZ3xSZ/zo3h8rzMcwDI5RCdYqUBeTujbFqPtpSKZkXg4L2CxpG0ayqJEWYOxKVkQlv/q7AytLPl8jjJ2lIVQSl0A9SXmix4TIKCvFiXKnICyhraW2LzvOlb1uWj0pVFXE0dqTYz1eom985y0yCF0e0yfgPa9GGTg8UF9IFHZgcO7kXW5QKi0luDw8n0ci7FPTu6H7+tIOBk/0+3A5icx1eX7lxT+I3im9f5rwvjzHTN2d40DIcXVFc1mxXa9xvlAMZ+STackkwnZdELfN9gkIS9uoJMSjyaEnr7Z4NoGFcSPRQylJP7WKuq17p3fALLjGvq+xhsj40up6EOQxphegzEok6CSDJvmKJOQ5DlNVdFEHcXeQ5LlTA6vUFy7TXnlFqBpltIyS2w73r8fQxFIKbVz6v0IHuO4CN87XBjADMIgtyMFieOTa9D3tK6n6yuefeE2x9eu01YbjDFsq0qYbk46adNUWoKDuqjN72PeMpxTUCLR4Lr4/SCkKu8lPxn0yl2cL9ZE0EYput6PY8YHNbL1RmCY3ZgdfCoGvcpdsWVvbmpNmqV0bUeI7LzBQEpr88RcaZ9NK+uQGESlkxnOO9q2oaoqgvdMplPyPGc+n496p3mes1quWJyds16vWa/XLJdLKVaVJQcHB+R5Hv0HhLghPytIEhvNM0UCUSvxzDBGk+fZyNrOsgyrFXmaUpQ5k0lJlufM5lPKSU6WJWgjHT4706f9Lhm5VyDgdFU1nJ6e8fjRY04fPWa92pCkKfODOfODA5IspZjOQMNnP//jpGnCN770u+jgEd3gjCRLMEnG9Rde4id+/n9Bmuex8BX3j0gQkAKM5KkqwNnjUzIDB1euSl1QAWrIe30crxfj5Q/uXeHS19+/x+Xc7ElklR/gXcabOI6IACGKfQxYmXOO5XKJd+Cj4VjXOzrXkaYZbSts9uBhs95weHBAXdXU20py1thJt91u5f9Rx3wosA657XK55Pj4EG0Udb2l73vu37/H8fExxycnLFcbmqYRVnLbXojT5/P5qGfsvWMwjR5i+KHLoSxL0exOUx49egwBtustRV5IcUuBNoE8y1gszvni7/wOJ9eu89Stm/y1v/bX+LN/7pc4OT4ZfUU+7H7L+ufJiozbzz3H88+/gO966u0WZSy/93u/xy/8sV/kU59+lbQoZYw7uPPmO7z9+puk1hKODsmThMb3vPaNb/J/+9f/df7S/+Vf4//0l/4S/69/56/wyU9+MkrZOiaTkoOjI957710OrhzzzLPP8tQzz4zrct3UYz5t04y6aSjyAptlKBSZ0vQElA8cX70mmMN0xrWbt7DW0jQNV2/cFEM6o6mqLTdv3mS1WvL2W2/Sx46pvCiwaUqaCGvbJIY0T8mzbCzSpRClKYZ1+JLM1Q94/NCaw09mawy0mtG2iKCgnE/R1qK7TmQlOgGCt8tz2qpCa02aZeRpMspKiBC9o2k7VrHtatgQyrIkjVUIq+BwIi05Xe+om4a6rulcT5Gn5EVGlqdCy+/dblkLftRElCqKVGWVChi7M56SpFYeSOcdRinRhAtODKKsxhoroHI8XO/H5KXbE6IfqqzDkSQJXZTVUErAIqMUoe+ZF/moB+ycw9gEF4TR7OOEHCo/w+Z6uV0HIgN6b3IPn++9h66TgWwNyhhsJm2FJhWtqnq1Iihp7/GuG0G0rmtpHzTkWU4WN9G0KHnhpZf58u/+Hn/9v/5v+N//H/9Vspdf4ptf/jL/8Ff/Pu/fuYPvWtKBvRjEDdoFj93rdVLWRPMhcEraG4HIMoq6cV6AOLQsHEmaoBJDmiWUacakyJlOCyZlRpqKtoxWfgdajqCCgCYCfPvoaCu6x0PQwOVxrnWk+8vrgg7CSHzifPjRPD4sab+4CWq0SdHWxkTCSDHCD2xcNwKLo55hECBWKYsJXgIS59BWMZnkdF2LN4pOBfBwdPU65XzO2ek5zWbDerWkXz3mvbe+y8nNp+VzlEIby9G1m1hjWa+W3Lj9AvVmQz57zPLxAw6PD8mLkmS1YWTIIsUoIffEIDgE8D4mVRePy21DQxAgsio9Nz/xeR6/+xbGO4blMrgI7obhPM2YfBpjYstK+8SFuAOScoLvu4vA5xOei3cOnGPQfZNz3CWm+3N/xw5WcZMa3+3isx8LsBFIvHQObV1fSoh23RZKyzOxSUo5nRFQmOyc87MFD967A76nns0oJhOyYkqa55TzA0wxw+RThO8URsJciOdrsgk2n9Cvz3Ak4KRAwwjoD/sLETxLMUVJVk6pNlt83+D6BudalM1Bi8mDgicEuPs3+nv98KNxXFx/hswuoKImfAiO04cP+cbXvszrr3+HX/in/xgff+UTfOmLX+Z3f+sfcXx0SJln1Ns1TduxWa9xzo+B5qNHj7h58yZpkvD40WPapqJtauqqJrGGSVlweHjAdDplMKAy0dn4csFkcDeXPVLHQNMTgqZqOxoXdbaVIclyjk4S3n73Dk/dusXZ4pyrV6/w9K2n0Eret+vELMYmElz5YY4HWK3WoiuozchU7bqO3jnyLGO9XY2SK9omJElKkooGoVEaaxLmJ0ckyrBeLpgdHhICrJcryrLgjddfp1osCQpuP/88R0eHaALPv/g8dFu2dYVpdWwPc3RNx1ubDVVV44G7d0XncDabcfXqFUw0ATk+PpIWVSUdDcbI+nV4eESSlTy6/4C2rgBN7zuJZYzEBe++9Q5EUGY6nXF4OGe1XjGZTmna99DAT//UT/F3/7u/TV1tWSjF0ckxq+WCd+/f5+VXXuHp27c4uXqVLMv4xle+Sq8UN249jU5EM1JIbMIg/rD1azh2QNXF115m/oZYnK2bmkcPH3Ht2lXKcjLGMxdiFz64Zn2UjovzdYCHd+CTUgqdZAQjTMALV6lFN9JEB/pquyWfzuO4V5i8IC0nNOs1y9OHoCGfzUELi0T27fj5Ppqy+fg9H6KXhsakqXxwjA29c1SbLWwr6mpDWmRxn4v1gs7j2oZqs5aCkDHgJIFUESxVwYETM2lPQNpUdqDmCNqOY2KwWt51AV0E09X4nbErJLpzD7qFKu6FKDXeW6U0XsXrjzmLDztZgLHoTZQS2PvQ/f3ywhj+PnOAgHS3bde02zXBO4rJlHw6A2MxeY5NS7LJESafgQq0zQbXbkXKznXSZeB63FDMnszRJARENoI908zge1zX4rtapL6UEGGwKVpHGYDgZf/VCTpLSE2CT1IBi5MEm9dMZgLuqjRDpSWzG8+QTI9RIVAvHuCbLXZyxCDZwcjykuRUpwMLdZj3H3qbfmQPhWGk5+5d3/hztWPPXjxil6jJOTy5xr177/P2t16jWa85mU15WFc0IdA1NZqA1lNpx1aKyWQiWL5WtG0rkgexqDZo5aoo6yZsRjfKN7lIamEPoI/BVmw/ludvtXTVDQxhrXWUPJSv+3rEUnSIxukoIQ2xW5fF7MiP4KLsEzI/w0AogQtxgPz+DlRXStF7x1HslPEh0Mb92keQXEc5uTSxVNsNm/WKxfkZ5+fnnJ6e7oDh2ZxpOSFJkhFQ11pTKy2gUJ6NwJZWmr530mqfWELwWLvTUM0z6UAuJwVlmVNMiggwJ2IOaU28njBeUxivV/ZKae9vOD9fcProMcvzc7abDWVZUE5mlLMpaV5QlCVpntFUa+7ffY8rN25ycHKFrm04OrlKOTtAKcXs4IgkLcSDBMlTrE5369UwApX81fUtD+7fJ7QVnzo4xCY+ytnBEIyPGsS7gf6BdW3IQfghtUt/1I8PAyGfRN4ZXr9fSPwwDMDH/SWw24NC7DqTTmyZq77vaRopwGqtSdOU4Dwdgb7rxlzW9R3TSclms0VrRTEp2aw3Iz7z0ksv8aUvfYm2Fam3wSCxLAsmk2KMvwfTZ6U0WZbgPSwWC/K8QGlN0zSUacFmvZZilYY0S3j0aDEaYjaNsIin0xlaW9brdTwPKIsJ6/WGJMmoqwptDG3fogyUZcFytUSbhK7rCVrz3rtv0/Qdn/jUp8nLQgz7FCO3erzv7J6TCgqjtEie+iBxspK8/JOf/hRHV4954YXnJSfxPV3dEQj8xq//GgdlQZalZFYR+sD04ACbXaFuav7af/FX+Yv/8v+WP/dLf5ZrN25A7NrLsozJbE5eFiLV1vcRwFa0bUea5hCCrFcuoDDUdRMLT2bs4vLei4eAc0xnc8rJlDRNySK4WxY5m82arquZz+es6y1Xb9xgu14Lu1tBkljyaAgo3UGJdDWkKYkVkknXNCiTxA4GPd67H2YP/p+EObz/qcMC5YG0KJkdHHBaVxE8MfQu0PUts9lkrDa0TY3XAsj2WgsjMM9IspS2FQ2NthXn8iIvoqaJbDDee/qup20aur7Dpgl5kTObTUiTJJ6PtGJ434sGkTGjJou4Ku8CUG1U9LRQEKLmUnxN8AG0QiuLc0FkLy4lP0MynKRJZCjF940TczAgGLSWQ/yZdw47MEXwuHhOQzt3iC04w2Z7YROCsd180C119B/APsZFTYlOiVca54LouQZNXXcs1mvatiH0g5S9F6YPiAO8VriuZd3WBKXZ1C337j/k6vVrfOJTn+L6Uzdp25r/6j/9z6hPz1Eq6itrhY7aqc5LVdn1u00/QQax61uIhklKxap2vBc6BvY2saRJRpoo0iKVTTZLmU0nWOOxVgmAr3ZB/r4WM0qC1/3kM+YQMfBSIwMkRACZyBb1btCgu7gR/344ZMOTVkRlkphwCHsbL9ID3nWj9piKC7gwFaPkhNJobQU4dz0hgEkytA2iYbnd0NYrQtOggiOfzOhcYDYpuXbrBtv1gsnsSMZJ7/Aejm89j3v/bfLpIdn0kKZa0W2l3dUmuRSA3OA0OQSkuwBGUpeAH4pByFwYZFeGQFFAYTH36DuHPRB9pvXje0zyfNeFEFnAyuykGwbmotIa7X10iQ/j94dzUz7gqlrAT/Xk9XQXfOyC8/1ntA8QX3jtyAYmAvfCGBrPEQFkx8R3SHSRYEX1/Wh6ByNsIZ8b/6eNFdkVFLM0I5tMKCcTzh8+5NH7b8uGN51Tzg7IZzOycoo2ltBVqKQA4j1U8V3j9fVeU29WZMUUbWVuGjJJ9mFM0jUaHzR9H/BuMC7pca7F4bBKoYPGRW3wYT194nj/gWfGj+bx5HGDmM8Fjwo93vW8/u1v8p3XXuNzn/8JXv3cj/H1r36F5fk5mYLH9+6NbWHr1YrVaoXrHXVdE4KYX7315lv8qT/1p/jC2W+xWCxkrzKasiy5euWEyaTE+56Dgzmz+YSyLKIOnx33PTk/xm4d74MU5IKi7ToCmsMrV1mtKt579z3KckqaGZ577lmuRJ3Bb7/2GuvVitu3n2U2m3J4dEDvepLE0tQ1vY965kpTlhO00dSbbUycxQC2bVu0NuhEkecFTdtG52INRoyzTo5PKMoJs6NDnn/pJWaTEvqOx48f8/abb/Lcc8/z+O77qLanblvOHjwQZ+eu597770rCryR4bSpZO6vNlvVmw2a7Yb3doBPLdDbh+tWrI8Pp0aNH4iSdiGFrYmW/DUqxOj/j4ErKU8/exjnHo4f3WS0X4711fY/2uzVwtTinq1s634HWXL1ywq/+/X8gzM4kYbVYgvfMZjNSa3nqxnWW56c01ZasEJmCp59/jrMHD9Hacuvpp2Ud0ybqzO8F6k8AfS8nWt8L0B3WwMQmPHP7maGcJWYke8AC7EzwPjqHugRqXv5p3CcUGJ3glUYlqbRWhovguNIWbVKUSUgnU5Znj2jrGp1kmCTF6IQsn+EOOhaP7nN++pg5nsnsWJjvEcSLNhpjHCmqRZ4QtYyVFvaL1hbXiwO2UtIl1vcd7XZDYkX+pPMeup7tWozV8ukssiH0KIck/5Vn7IJHKS9t0jE2lxZnYGxN35FQLgPD41gThHcHYChAKeFk6YCI6cR9GXmpc2IaC1J4HUywh3gvhIFFJ5/jQ2RJjtTKCGjvS1ModWHP3I8xUbGtu+vxTcN2s6apRVeynB+SzQ9Iy5Jkckh2dA2bFLiuoa+W9PWWttriu0pA4U60msVEW+P7lrSYYpJc2NxJhsknwvLvO9EU7ju6tib0vSSp1oppcJKS2ASSnCSbSizU1ei8QOVTkr6lbyr6eotJctLZHDs5xGYlvmvYPr6H8h22mEghY9BzRopGargvkSo0AIZP0u790T8k1ldDRTt+byhLjK/aWwPVEGOpQPAGnRRcv3Wbo+Mtjx++R697qmaLMRanPduqwsfOvABkuRgru66n6zq224qhcJFnOTaRAr1SWsAAF+dKXC/lXIT0ItIeMfduhUSVJBaD5FHDcE6sAKmhlxxZJWoEbr0P45wedI5D9I2Raydeu3w1xoh/kJKOvO12O8bO+528IS5C0vUnUhza2gv58VDQGTr2hgKNMYbFYsF2u2WxWIxsxUlZijRUmpJnOUkqXWR9LEgPcieBQTImmvnhR41iUGRZGmMYLYSjaUFR5qRpQp5nY4eeaEzv5v3eFhzHjjyH8/Mlq+WauqrYbivyvOD4+IR8MiMvxLMoyzKKsiDNE2ySoLXlxjPPM5mWmDQDZUWiJa6RmkDbNjjXkRiLGqh5Sg3IsNwrbcjSjC9/5YtcuXaNq888i00zaW+P4zme7fckz+y99CN1/E9F4Ppe8cuHfdZAxNmVH2O+6Z2o8McCiY97X9e2Iq8aAmmaUldisHh0eAg+UNc1bddGDdme88U51go4+/jxY7quYzKZEEKI5MNAXVckiWU2m8n3NGRZStclzOfzKBuREJR8pjGa9XpFWZYopbCJ5dGjhyPBwhhDWZZsNhv6zsWOf8G92qbl/Owc50KUdSmAwHK1IM9zzpenFEXBelvjfKBuOpE9UvCH/8jPC4hqd+amH/4wQIVIItRCalqvV9Tbiof37/J3/84v8/M///OgDXmasVxt+Tt/67/l4f0HlIV0QrZ1TZlnPPv882STnJtPPc3h0RH3H9znlVdfwfWe1jkOr55EhrDMS+89dV2LlE6U8+m7PhI17Fh02i+u+TgCBhk7Yy2TKJEzGPu1bYu2hnI2w/kcD7z48st0bcNXv/IVkjTFu0465ItcCvohYEyCinM8SXO6qFecjHgiUgT3fsQ8fpDjhwaH4YOTZAdgqFgti8GczpgdnrA6PaVxNS4E0sQS8hJjRbsrIGxOm6QQzcG6PuoeIq3URZHRtT1d09DVW7o6BpUI0CjgoSdLDFmeMp9nTMoMGyUqdCJ6bEZpbKJHYHiouOxXL7X2BAWtU5jJhGZ1Fqv1AqjCACb1EX/aLa86vq8PAd/7ESgWIEqo/0NL67gpjYtJQHzltQz8weTK92PFdag8+W7QxtW44McWpP2nIk1/MXljj18RAkEFfOdxzWDiAXXTs9nUVG0dN1B5H2MMQZno9KrxXS+kD61Js4Tgoe0df+Cf+jl+8md/hvv373H/3fdYnJ2iuy7eMzUalmktiYBGHFi1RpjBEYxOkgS0aKQYRXTKDFHTSXSVk8RQlhl5npJmCdZorNEY40fWlZYefBEfR+0FMNGUJQIJ3gec83SdtEz0fQsqkFhLFzzaOEwQfT+dZEymR4RgYlvWWCf/kT++H8MLYnKEQplEhPGTlCwv6Kq1zB8vplYYD2rQA5R7OwZ9IURGikarBNczui6bLIvEpYCix6qE1bIidR1+ueB3f/lvcXDraf7gP/PPY5MMpQOb84fkkxk3n/tYBKIDOsm4cv0GrWtIso4ky2jaKq47amRN7F/Xk0AFCXx3wOGweDrnqbzlM6/+BF//zb9HlqToyOIY2BtSuFA7MJqdRIrSGj2yNoitHTqCYyb+iYnTXjBxmWG3/2x2DOFd0HcBlFFREW98/e53nvSeF/7o/Z+Nf3F5yAzX5r3GZhYfPKm1HCYpWZazXpyyXi3ZrBbYR484ODlhenjEpN7SNzXZ9IiknIsektpPZBTFZMaDb51S5GuKwyOy+SHeuciqMfGCELab0ihtSWOhsG1bcVR3DkTe9gc6PopMpicdF5+xE9Zw6Am+o28qnnrqBmli+PgnP8n99+7yxmvfQXuPax31tmK9XksSutmw2W4vGMwF7+m7jl/7tV/lmWee4vGje+TTgvl8xmwyJU9lbpSTCdPphPlsRhblpMLeHPjAmA67bhgTNYEPjw55fLZkMimpt2us1hR5RpFlaKX4yc9/nsenpzx6+JC7d9/j2Wdvc3R0KHvFbDpKAfW9QzthaCTJXPawWABKshQfPDa30pWUJiRpRpKkpJOCcjqhKKfcevppDo6PcD7w2te/Tt+2rJZLgg+8/+YbVMslvu5ouxbnPaf37tNVNeAJSlpkm060m88en9I0DZvtlqZtKCYTprMpB0eHFEURzUEkQFdxz7OJxmop8gSlcK7nwd33CAHSsuD6jetMpxMe3rtP3XVoqyl0Tte2dH1PmiYk2rDeOnrvaLuOP/hTP8WkKAjek6YW17Wslue8d+cdbj71NK1z/Nav/wNe+cxnuH7zKYpiwpUrV/jOt75FWRYcHh8TghRxFR9cUy8zKi+yzz4cNIa95NrtNBsvv/f+6z9KHTv7Z/rh5AoV4yGLMSIrMhj36jDoyxO7Nwx5UbI8U2zXS5KiIHQOO5kAkDnHtHeslqcsHzxEB002ncWC705+aCh8Kz10wUSJsaiTaaK0ybCv2UT+r3ygq7YoL11CIjsFk9k8dup1srbLFUeZoA8ytIKXmNdkqRQDR2PX3esu74+7r4OMlGJoht7f7+IHSozvPB43ttz6MBAP9uUtPqRAq3WUd1ICzuyBwAMpY78Ze/g9rZUY27YC7LZ1je87tDEU8znpdEpalOSzK+RH1zFpgWs3dKvHtNsNbV3hu5a+3eC6DglkpSspTdMIAPfkkzmmKJGivEjxKZtTZBOyw+v4viG4nr7vcNF0y9iEzjnKYoYyGcp3JHYqie6wefqevt5EzWNZM129pVk+wtBjimk0pcvGJ6AGskAsUg77+5MYeR+d4/JcVXtV8w+O1fFrBDe8FhaZNQaTpjw1nfBzv/BH+N3f+C3u3nvAbGpEY7/reHS2ZNv0dF6hVIi64h5rJNdVGrrQIzyI2D0T10qrLcEH9GgQJxq4fe8ikOtiDgVt26HDAJjGrtMeskzAzKFbRYhMO/a/5OORTBWfoeTCu9hV1qxdPtB1XTS+8hfuzxB7ay1EIAL43otMjhb2v0Nk/cwIKEtHwHq9HgGV1WpF1/ckScLBwYyiyEhzS1ZIJ5AxsaPPyxh1TnyQhq4lHYtmQ0cxIL41WSaF1DRhOivICymo2CQZ6lBR53uv+/XSWPe+p+1b1uuK7brCdY71uiYpZ/zET/8UD+7dwypNWaRkpRhR2iShPDhifnKNg6Mr6CiJITk+uE7MgYMTQtxmvcJYy0Yvmc7mZMVECnlB5CRUnIvPvvySeA8sFiT5Xa5cfwaMdOdJSuZjkecHmBEfkb13fy/5Xq+5/P//KdanofAhy4Uakw2JfXcxj1YxFQqSv+jYyS7zRuZXlmV0Xc96vR7ff+g8n81mnJ+fk6bpaNpc1zVlWUbmvL4APlprQe3uy8Ba3Ww3zOZTlssl0+mU2Ww23o/tdjsa0w3g8Ha7FTC766TIFXWTtZaOwJdf/jhvvfUWdV2JZxTy/SRJWC6XDF471lhW6zX/wi/9UvT7ih4pTzgu4BQR9NRKxeK1oqsb/qN/799jNpnge8ff+pt/E9f3JFlOXcu1P3P7GfCB7WbDpz/7Ki9/7GNcv3GDw5Njkiyn7VpsltL0jsRaijyj2myYTOf0XUfTNGNHpPPhwlo2jJ39nGdfWmr/dfv3vus6kiSJigKtdCXr2OnYdSQ24emnn+H04UOatiZJE6wVRncIisl0SpqJWXDXdRgr+I3WWvbt3o33bV9d4Psd/8SGdJfbqy5XUyVg0GTljCTPCd6Tpy0mJPSVEoMoFcjShCwrx40reGialqbtybuOumlpm5bEGHxk4zZNF1tOZONKkoTEWKxRHMwKDiYlSWKl4qkCuA7lPTqxY5vJ/rnvVzMHwFgbxWRSsF48Rpk0MmbFNG143RDMutj64sKOpTqARoMg/f77O+fpnRf6uVa7DdT1IyNwdFWOoLB3ATcwHGMSbCLTae+hSMAvpUy0Ah03CK2NMJ0RrapAiJu8BOnbbc16s6VpW9GuClLlMImFpsEaK9IaATovWr9Z3rKtG24+8ww3n3kK5x1/5f/57/Ldb3yD0mgmSUIIOt4raddVEYTP0owQhCJvVDTuUnI+xoqEQ5IY8jQly4StmKaWzBqsFRZYkliMVpFhI3pqwYtW3mB2IKvv3piNlWGRzHD0vR/F4LtW/u96fwG4l3YrQzY5FIAznqf8+KMU6H74sb9JamNH5rCP1+ij1EYYWdyDDuX+HdCxVS22qiolJmJeRcdsj0kSMlXKphkU07kUbNarDb7vOb/7Lo/efYvZlauEKClSrc6ZHl2LzBRFOZ2zOH+IHsznjKbtehnXQ+ds2LumuJEMBZfRhFIN6wBSlAkAjrZ3vPjjP83dt99A9x02SaPHw25z2rEmpA3POTfKSwAXtOKMTRjbifa6DfaZKGMqPbC7BhB9CDjHrwKqDa8dfqYjaDBcr9IDXzrE6xfmh4C+O73h4fdjtDsWkPQea+/CphyzFKXAKiusYJNgbUYxnTJdr1icnbJdLnl8/y7VekV/cpWibejamrzZkk0OsPkMpe2YZA3tcYvTpcjmoESjWBm8NujoBh38EHCBsYl0ALTdyHpjTMx2lfrfD8cPFpCLnIQPPbie88cPuXf3fTbLFW3r+PW/9z/Q1S2q87R1Red6VusVm9WGerOlazuatqFrW5Fj6HrKvKCzose/Xi95/oVnUQHSLCU4N1ax8yITkNaaC5qww3xTSo1u5OxJN2kfSIwhSyzzwzl5ZqHLqLKMrmtRztPWDQfzGcoHbt24wQvPP0/TNHz3u9/mrbfe5OTKCddv3gClmE6mlGWJczvwcugWGLp2CH63fg9zMmpyXjs6waQpjx485P1336PveprtmtPTU64cH8teeX5O17a4bnB6hnazRQdo6i1ORWaB96KHuFrRuh6TJJSzCQcHhxzM56SZGOYWRU6SJFy9eoWiyCWhjfGFFICh9wqrZey39ZZ33nqDa1evk1pNl1p810N0tdeYEWwr8ozFeiVxi7Yszs84mM84f9zJ864qtpsN2+VCtOYTS9+00oaupOvnlVc/xTtvvMF0OkUZ0aQfmJbf69jpsl9cQz4s+RqK6EqpKPv1+2H2fvAaLoDoQ8SshvVWCcCnDMEJQUJc5HZzShuLtgl5XrJeLsjLkiTJMHlJks8IwZN1DQTH5uwxi8cPmblANpuh05Tdjh1lGBQEFWReao3a66QxxhKMxynZB3Wcx30jjGK0Ikks5XRKkqZRZzbKmcXLAnVhLMCuoCmxhXS5hQF0ij+7ABTv/Z6PgGwIAZukuL4d93F5TXz/EA3rGPTNZQ0Y2veJe/CFAgZxT48t7MqmIq81sIaHO6eNnIP3eNftjGK17D0+sh9d19M0NdVmRd91ZEVJPp2TTSakkynp7AiTTvBdQ7dd0WzXdNs1fVPTNTVNs5FxECBJ5Nn5vsEkliRApw0mSQiqosOTFHO0SUEZWQuMdE+mPhAmYSz+egJKeVy7pW+2EfzPICboImERUE72kmp9hqu3JNZisikqzbFZCdrCUJAfntEADA/3Kj6DPU/gj9gRPlBIDuO1fK8LkhuxK1oIq/3WM89x/vFTtLWkaUZd1dx9/z6L5XI0Dm3qChCtfmtkX71yfIzONJlNMEbyH6Wi8bjrRS7FRZmluhrjUjGu0tS+AXxk0HqyKNFgUyFP9V0f929FbzzWCllnMF8d5rKOXZTjvAkwyDcSSQXjWNibW2K+upMLBNFEDqjxXLuuI82lGBxc9M7R8pnSeq1GBmNd1yIl2fUSg+R51AoWxm+a2thar8fPDBEU162cz7AWDH+SVDyO8qIgyzKSxJJlliTVwtBDx+Jo/Drk6ReKWLIW9L1ju6lYni9Yni84Pz9DlyU//8f/BM+9/DKPH9zn21/6IpMiI8kzjq7dYHp0hWI6w9hE5NGUdGwqJ0zHhw/v4duOtqpwvaN3PgKDG8r5nBdeeSUOTk1ACZkCTTadcvtjL/MP/96vsHr8mNRkHFy5Gte0i2vbk0fykER/vzH/0TqeFItcLmL+jzlknZDFIhC7kGOeEoKKUqFhNF5USmEGaYCuEyOzvKCpa7quiyZxEmNvNpvRFG673dI0zeiroZSKBI85SikODg7IskyM6kqReiwKMZVr25Y0TVieL2Sf7B3FJGe5XMp89bJ2L88XHB4est5sIiMftNF0XUeWZbRty/n5OZ989VXefP1NgAgqR8M9B23bcHBwwKPHZ+TlhDvv3+XVz3yO555/UfZ/s+tYGJ7FB56DkhvrvMhjGGtQITCfzSiLnCJLyazhyuEh2+0WkySstltu377Nt771GpNiwl/4X/4LfOyVT8g6pA1YTe8cSVngvCfJcrabLUVpSYuSrpdOXGWMdNApFWVoZawMuOJAAh3WvVGyJ2KMQw4y/N6w5gkbu6CqFNW2ithXxma9RmWag6MjmqYmazICAWMNRZ6TZilplpPYFJMIZtP3UrDz8fOtFVmgQQXgBz1+OObwXoC/+9aTg35ZQwJJUZJPZoS2YjopqFWgSTSud1ELy5DnYgQjFUtE97ZuaNqWommpa/nTtnEwmITU9SLEHQT0mU1K5pOCaZliTVwYkRY51UvVVBB3uwswLzAHZOJK8gja95zffR8VFJP5AY/u3WVe5LsbF43nlEImj5LKp2geelwnQtDS6iO6yc45+qghmmUpXe9YLJdyTnHR2IHJQNQr6nsHsT1XBMh37I4kuqkGRKezrbcYa+lb0WJRWtEHT/AdoKPhnmZSlDRNTSDQBs+qbggmJZnnTIqcn/jJn+b6zRtcv3Gd9UqYZaenp2yWK6bzGc+9+DzXrl3Ho5iUExJruff+XdKgOJkfkqiAct2okWXjBBFTFQlcbaLJjCUxGmuUtDclJv6xZIloQCbGSJttYsaJZkzUwyVgkO8HH8aJNwJqRioOw3WbqPfinReQvpfXa6VxrsM5WbQlmBMBdaUUSZIzO74S2zOdJGvh988mORwKAVOMTSMTJSEoAVOF6Ufc3Ihg464NM6AlznC7dk+lNRo7st98CGKek6tB9plCW8QYJ+C2NV/5rb/P7Zc/zuL0lGdvP4XrWrKyJM2moMQxXGS+dCye7G3mcTMT08gYwEbs9WJBa1+PG5q2w3voWs/RMy+itebsne/G1u6AUmZc4Ee2sRKd8P0OgeEeDq8Z5DfwO6f03dozrKX7DIQdUPyBBzMYX7gdMI0e2L+7opUaAr54jkoPwd/wOUNL7yAWwfjv8T4OZ6I+2Ba9z9AyWtgHTluMtSRpTjmdsV6es12tqbZbTh/eY9rVTLsG1zS4tiUta7Jyhs5KGV/Gcvzsizx+57uc3b9Lvl4zOTgmn8xQNsVjRkkCIstD3HUTVJQ8wbuxE2Lcoy7tVfsFg49yjHuZSQmMLDYVAudnp9y/8z6+bXFtx2axQPVguk50/7dbNk0ja3vdUNU1vutw3pGnsh8XZUFR5JRlgU1Eb78oCpqqIkkS8mlGnmUYoyjLnDxPpWBnLgZ2Q8F1WDIUkvgNeItNUqazGanVHB7MWDlPN5vx8PFDHp+eYowd9xEX5Z2UVnz8Y5+g6zvu3b/HowePSdOUxdmSuHWSWMvh8SE3b93CBc9mvaFrW2aTCUZr3nrrHbQ2XLt+TUAjm7BZChPJB0fTdWKa66CtWjbL9bifN22NItC2HU1T07dd/H7LtqrxfU9VVbi+o24qyumMkytXmc9nJIklTRMmkylpNLRTSnFychw13pTIbVtD48Us7OjKCUWW8fDu+6JdFiB0DVrBQTlhs9nggrTLWq3Ji5J6uwFlKPKp6Fc2PU1VMc1z6lS6ONbLNVYnnKcFhyfH1JsteZoIsKYtigRtIJ9Meevtd3ju+ZcEPNR6BJKisNAwMsdnf6Ew8H0YOfsJ+mXW8Pd6/Uf5kF1ICQCg4qqsFTpNUcriuhrve0IQeaABcMVYtDFkec52cU6z3Yh8T73GZjnJ9ITgo4SSgmq9ZHn6kInvKA8O0UkucQ1Dd1Ubi+ZatnPF+DyDUugkIXGZmNv1HZ3zGERmLEkTbJqMSY9S0agGmaNK6zFJedKapY2WOGs8l8hdvbR+B3ZjatidBrNZbexuTw7yKyPxIaKUA0t46EKRMenZGc4JoKK0xaapFIRtGgshQ8yxW8dEfNuh6FFaAO7gHF3sYlHB49qapmnoekfftRKrHxxFaYecXiforAQCvq3othu6akNfb6m2G9pqS11vxxjUtS3GWnRiCWRo3WJtQtdWZLGtt3GBtJiik3zc4xUQ9LDnyz31bUVbrfF1jdYBlaT00V9kmMNGKXwtxkgajy2msTCRotNCYokB+I3Pdt98TI3/DJFMED4QY3wUjsv57i5u3Ct8xWL+5d8b98CxWK05OLnKZ3/6Z+iVZrkQPfuinLA4X4xSCV3bsjg/RxkBLUwkvMzLiWiPa4P33djF1jtP63p0Ynn25Zd541vfkuKrtoCmbXrStGC7WQvoaDSr1YYiyzC9wyA5qfdibK5twHrovXT7DgXLIW7ekSNkzvqhsBQiw+sJ92hgEMvctaMhXGDI2zzVtqIoS3wffV90BNi1ou9bkV4oSh49ukNdi2l6CCHumzqCwylFIfFInmdinq4vdiEMOaCw9PbMlhMr7eNREkv+r4VhzeDzMbCNx1Gxk9+IUgFDN+p6sWW93LA4FzmuySTj5PgEa1KuX3uK6sUNuJ58MuHG088IUBUC3ov5etdUbFcr6vWaptrSdDW+62malq7tmc8PePT4EQG4//773H3/PQ6vnFBtambzA176xCeESJEkZHnBH/6jv8hXfvu3+dY3vs4nPvUpDk6uI8yXnW7yh0+EXVHxo3Bc6CT5n/kYzkArBUYTnLDsDYIlJYl09TRNQ9d1EesJlJMJBsW26zg8PERrw6NHj8myLJrOqZFRPHhZDWzjNE0Y/LUG3KsoCs7OHjOdTjHG0DQN0+mUs7MzDg7mI3g4sIX7vheA1YjZeNd14548nU5ZLYXFX9c1SkkB59vf+tZYiBW5FzEgdp0jsSmL8+VYSM6ynJ/72Z+VTnetoi6vyLxAXGvVLo8Y1tphzxniAR99RYpMcpLEGFzfMzu5yoOz09iBDn/qT/8prly5ys1bT+Gcx2Y5bd9HSEPTt72Ya7qepMjovaNrO9IkHaUzIBaHlZhvwq4LOUSsb58hPOwDfcQKhmNgGQ+xU1XJPbTGQgislktAYpm6qqSjrLQoIE3E1yVJU9I0AyVG4hAL+jEq3xXZPYNG/Q96/JPJSgz/2Avchpsw/jT+OyhpgasXGmPVaKbmeo8xAZuomCzFCp8KJN6TJJqiT2ibjCbvaOo+JmItbdfT9e2IxFurRWYgE4avHoJDrTCA00oC2D02yj4ovF8pGqj+3nuS1KBdoDo/I49gsNYWeVcBRlzUdOr7AbAN8QEbetejgha3dL8zU+ldT+0b2q4fN0U6YuurVGFB0TYNBDEOMMOAI3D11lMCKhvL+dkZ601FZi1Wm8jQFNOboDXzK8ecHB9ycHBCmeVoY5gfzElyMfjrnSMtClzvmc8PmcwmnC8WNF3L008/zRe/+Ht8/OMf59r1ayPrkSByHouzcx49eMi3vvENTh884iu/+0WWjx4zyVN0JkmDtZbUJpjYDmetAHtpKuBvYi1ZakljC1BiDUZH1pTRwlbWQyukVNVGsMtEg7AR1N/Jg4yJSO+wRiaJ0Xo0JRoWX2F+e3rXEcLABBMZEeccfWzFKGdTJkeHSJImoz6oMC4OP/LH96mQ7hYNmbc6yVBJis1z8om0HEqQb3YbrhYN2DHBUvH/mg8aFoXIDo+GfzZJUKEEJcZSk5iseR+olgsevP4dptMpbrNCK8fju29x5amXsTanb7YYrWhbmVd104BS2ETGWfC76xnYth8MFGQ8iQFhDzi6zqMnJ9x48SW+9Ku/QqlDZOtIi+0Aco0bVXz/nTabvwAgD7pkQ8qko5A97NafManyOxma/XO9wO4NQbRF94KzJ4Ikca4wJId7nRH7nzm2xITITrj0PvJ9P3ZC7IZR1JHce70xBmyCtgk6STjMcubHnu16yXp5RrVa0m43zI6v4LqWvtnimi3p7AhbzDA25cqzHyfJCh5+56tsVue4Thzak/IARQLeYUyyS7qixtOHgenfE5DaA/N/1I8ntb5d/n4IARWrIG1Vc+/992mbmq5umM0PabY1TVNRraU7ZLVac7pYiJFELExmacLB9IAsyynKPAJ1sj9Lu5gU0obAM8tSEmsoCtHgS7M0Bpcyb0btwP1zZ1fRHhNMrSnKgtXinJvXr5IE2WGVhrt373L/wQPOzhecHJ8wmwVpvdJa2t4VHB4cje7i2krRUGlFmmaUh3NefuUTvP7tbwMa7QOhdzx8+ID5fM7R4REhiP7xcrMdC8SDTrXzIuPUbCtcmdNWrVT7+xajNavVSrpOYveJMDHEPMpqQ5qmzOczrl6/QTmdIoY3htlsNoLvbdvS951oCxpZx0B0+pWGWzdu0NU1jx88EBAxCHDjXI9zHT5oyrygCuLtYFFMZlPqpiJ0wzWIVJRNEyZmxtlyyfHBnMePTmn7jq6XPTHPcx7dv8+1p56GICx8YxKuXbtB273Lg/v3uX79Zpxfe0WnWELaB3/2YywXtfqfJBcxjOMB6LjMNr78+t9Px84oRBQgtba03qONsP/SrsTaVIpfu18CJE60iZX2c+9xfY/rNqSzGXp+Es07rcgubTdU6xWaQHFwLFqxIABuGAqHw/vqscDmg0cZhS0KVN8RQo6JRbixQO/dhXbF4RntdxAMX/dBJfZkR4bP3i+sXuxYubjmXUgW9/bLYf8d9qmhFXZIDkNEj6WApIitURCiJm9ZCiisjbBio8EsSkW5LGEphdgKr5ToDfZtTd+2uKairip8bNn3TrRUbZYKIzCfQJpSHl8nnR6DSQWk7mtcu8HXG9rNmmq5pGsb2mGtM4YmdNgkIYnzslcaaxNCU6OUEeav8zS+w6Q52mYkWUFQZhwzAfBdxdm7r2NwWC2SfspYlBmex44BSoy5UTlKaUyS7rwW2BfU2D378f5/yPYaPkJ775PG4m7sXZQl2weOh2PflFz8HwCrKA6O+Nk/+oucPnzA/ffeo14tWZ2dUldb2rbjwf1H3Lt3n6ppWCyXXLt5HROgc57NeivyAKkwiNM0xTtP4zpuPPM0s8NDNusNWZqOmHUIsF6tCSFQr7d86sc+y7e/9GW0EukIYyxtK52rWZ7Stn0kz4hUYpFJ3qu0upDLxiuP92Po2ISBNLIv2bgjZ+x8Prz3hLhNGGOoqy35ROQVEpugFVHOxtO2LdV2Q5pIi7tgAdJ1O5lMRhM5a60QzvKENLOkJhasYwy9I2TE3CCSjIqiFN1PtSNUDD4iSilMBNpBun93BS8x4hqA8oGktFlv2Ky3bNYbttuK+Xwiz0QFHB6t4PZLHxvzTY+i2yw5e/yQar2UOLmWTq6+a2Ut62U9ufnMs5w9esTd9+/QNo10KS1XtG939HEdzIuS17/5DXrveekTn+Bjr7yKzQo+97M/y5vf+Brvv/OOkDnmx/goRSH4RZT8DDsAbqC9yLL60dqDv1fM8L3WoSfF2T/o+1565UiwEQmnIF4QvkdZQ5KmHB8fsVqcRyNiy6qVeDKxCRoiqHtGVdXkeY73fmT9DuzToQN90CPuupYiPxaWfVWRpKlIThQlhMBkMhnJdjdu3GSzWYnpmdbMZrMos9kLTtT3sViSMJlMWG83nJ2ekmVSJOxjXp9EILrr3GgEPcjApGk2ylY0fYfRhqeffoYkLzg/O+Pw6pV4r8IFebGLsOLe2qp07DqS173+3e9itGZaTqi3G8q84Pz8jMQabt64wc/+3M9RTiexKGRoOiF25HmO63qSNEUbxWa7Icsy6aSI5x18BPP10PngdzHLpXV/iHUvKxI8eQ+5SIjwUbrTGNnbTWLxfc+knNLUDUmSkCVJNKu22CTBBfGC0Eg8NhTSfSTOwrAP/XBGkj8UODwwcsZFYvzBLsDb2Q+ACi3t5pz18pFkNIqYRGZ4J/82iSXJUpIsiQu4tGpZa3C9wRpFllm6wkXnVoPrPc4JvXq4SYMcAwFwkfGJbGRpmmJjFWUf3R8e6AD4DC2NJhoijaYCwWNTEaL2Luwq+R56F6SFVWlU6HFNTw/4WE3sXRsfjI6n1tN2Pdu6pu89eTmhbVtJjKyAQ+uqoakbDuZzFucLnHd0XRMTNc3p2XlskZcLtklCkiX0RjE7usb8UFoIPvnqZzhbnvPm22/x3r273H/vPXQQAC/JUyaTCX1kMydpxrZuOb5yQud60jSlLArefvMNfuVv/m2uXr3KM8/d5sZTtwjOc+fNN/nal77MvffeB+/RSpMmCdNpQZpaYf/aCAAbQ5akpKkhyyx5Lu1MaSLP3FgTdYPVUO8AVEwWZU8fAuQRKNOx5hyIZoNuBLA+AKZ4eYZd19P1/U6eIzAKdPe9G5nggmH2sR0riKRIX1OvzignBxEoVRD8h8W/P5LH5Xj9wzY3r0BZYYJqa2nallQp0fc2Fh2Q8kgIF3C5cQNU+yYejPpAAS0tmkilT2lDmomhnApQlCVd01E1S5bLc2yW0DQNGIOhZnHvDvlkznbxCB1Nt5wXcf8sE9aiVgqvBiMaYQ0Plf59FqMslAPNSMxptt7ymR/7Sb72u79FQYc2Q+uMuRDkPokBJQYa4p5q9woYwq5NgJ7gYjEoSUnTBPqOkcm7l1QNrtAXHo+s+DI41d6zC4Mo/S4RHwLWca6MzyTqOQ3sJzVoBeo9ls/uaer4PvvHwMRWEZwL0dRnOEnRZ9Roawi9Z2IM5XRGtVqxXS9Ynz+i2a6ZHh3j+gbXtyTNlmwijLa8mDE/uY5RUK3OOH/4kMmRo5gfoJMcFwammTDUXHAEDx6DUklkQUdG8xPOfXd5Hx3m4WWm0pN+Ll8VeHj44CHVZkPXNbRdw1F+jc2mpt3WNE3LcrlitVyxXJzTdS15ljGZFsynM6bTKWmejQxWCEynE5q2IUnmhODp25Y0SzmYz8XUhkCWJeL2HUGUPuqMQ4gtzIoky6TgGQtQxhhIAiiH6wJlluK9Z34wQauASUQreLOpODs9Q4VBXywC1FkWTXXUqLUGjKDxg0eP+Mk/9HN0ztN72QeW50u26zW97yiKhPVaEua2lWBajPK6CNCKPmNV1YQQOF8seXD/HrPZjKraohGmBzBqkXVNR5HnFEXBfDYdW1NtasnyTPSErY66whalPLNZGQH4WHhTChcE2Lt56yZnD+7T1TVGK3q/m+N91wkw0EcmfWwXzvM8so882loKY6jqGqM0280W5z3lbMb52YK671BZShc827rGZimPHj0S52wlWpkhQJoV3L79LN957Tt0XU1qcnaml1zYXC4HwcPXHXC3G8eX9+r9dsL99xje96MCKu2OqD26N3UHNusA9O+1b0TAFLQ1+N6Jx0PmCGZY23Zrug8CfAYVmW9KoTzUq4coZdDGYosJNs0wWYlZnlFvVihjKOcnwgQmRLkehVKiNzqAFXiPik1C2srYNIno3Sod49k9U7cQQnyfqKl/OTYIgf027EGiaoAZh3VueMT777u7bxFJCtKd5JGi8+U9WUITYaymSbojq/hBUiY+g1jcVtqQZDlJmo1xirCDNKNMkZJ4NDhHtAygaSrq9UKMhJqGEMkHxibotCDP0pigBdJyRjY7Ip0cYos5ymSSO7mOttnimpqubei6RrxG+g6rJfH2XReLvtJ1qRMhJjRNRWKlQOo6kf6wZKL92sV8Ji3kmuQOSNHV92glpq7OGKyK9zTeaTXER16htMHanBDj8eBFV12bbASNnnQMGJJCZCw+wLb9CBz7jHfYrb07NtZ+geeD+/RFsDh2zwRhrhZFyTPPvshTT99ms1zw7a9/lXfe+A5Hh0cU+QSbSvy73mwoypL54SGnjx9jtWG7bDFoWaeTlGq7QacJN27e5O/98t/BVxWLmOu42H3qOgdaMT0+Ip9OODs7x7UdaZlhSh0lE40Aw2EgXgWM1tReWs9NspNRG69rb07vhaUMZrQDO253/+Tr4BchL5a49Ozee9x44QW+k76GMYa+b0cZOI1i2zS4ngiU9nRdPzIksyzFJoY8T8kyMY5Lk0g22pN8G85DFrZhzfV0vchXGi1m7UErpoeHbJZLDFZY0eqDhU91IXiW/KKpW5bnCzbrNZvNiqLMKMqSLCvIsgKtNMYMM03Rbrac3r1LtTylrtc0TUVwbsxLhw7i3gWKsuSd17/LowcPaJt6xC22qw2u95KaakW1WrI+e4xXiu3ijPffep3P/ORPc+XG0yiVsDp9zNn99ynKEox0Ggz5iAzU2EbCuNyO+9b///jhjotF71gI1yIbE5ysEYm1rJ1js9mQJAkhiDSEYQc+Hh8fs1gsSdOUzWZDnuecnJxwenrKo0ePODo6oqoqsizDe2EAX7t2DSBKlWmKaIDcNS1GabqmZbVYkBVDfGqjmZ0a/bmKomC7FfKE92LCmNiEpq7J84I+gtNDF1zXiGzFerOhaTqOjkq22y2TieBdvfdsqzUmy/hbf+Ov8/hswb/6l/4SKnbRay1dygORbEc7uBgTDphn33ecn59S5LkY8FkrmJmC61ev8dkf+zGMMayXKybzOb/2D36dz3z2M6w3W+7df4DrHYvVkueee5ann34KXMDquBZ48f0IPsQGp90aNqyBA644rAv7wPBwzvvEiMtkrQGbVErkIbVWGJOx2awIQRjkKI0xlryYxL3H0LuhH0eKS0TSlnSFhbgOD4S+i+vW9zt+OHBYRWAARnBBXcSHiCoqoKBdrzi/+w7KNWNAJotcj/OOxCRxcVbYNAK8IQxhiYjrh4AxDq3FzTrPTNSE3UkF+OjaJyxQFwNeTdvKYE3TdGy/BrlJzvXjTQMZhDIh91qBlFxpYuX7Xnm64EYGlfgCRAHxvqd3HucDzgf6ACHIom4TMXToY+C43W5Baaq6Bm2pqyomb4q6rjBazHKqqhJNsxBEr9dosnyCV3BwcsQnP/1pXvzYxzg8OeHo5BitDXlkBw/geAiM96SpK3E9Ro1MyN71VJt1ZKGkWJvgnBPXyfNT8D/PV770JX7z7/86d777XVrXU28r8sTi+p7CyO9pI3IRJrGkqSG1htxaslRA4TxNKIqULEtJs8gSNmYE7mTH8SM4vM+sHCbi/gLrvTBatJKgwu6Zp+xLS4QQcJEV1bat0O1jMDOAAd7vdIZ37+9GVrdNUtIkodms4kTQ49ehkvT76RgqnFpLgplYaTPu+w5rs7g5eJEtMXsgW8Quh+SXYVOD+AOFsCdE7y4gzznL84jTKvKJQ6+2rFZrrt1+ltVmA0pTGIvDsVg/wmqF856uqTk/PaWqKo5PjkW3KY5t13lgaPmQAhLsJZxIS4iKAHGP4sXPfJa33/g2erUkTXKw4gatY4vKZWB4YN0Sr0NpI6BSGNg3iJsqAsCiFdpKm67rXGx3Mxc2GGl/22cdy6GHwCL+/wJrau+5sTdPhp8P25AGwhBoOoe2AvAam8R2QKLxZASm92PeCEzLvYuMrLaL4hVxvQzDOUh7rtGiCxziGpiWOZuzx1SLJcv2Hs16QzlbY4opxawim87BdZTzOUY50ixhfb5gszyHEMgmc0yagxam82AIorOEfHpEkuVyh9RlPfwnDfKPGsi0O56UWIcQIIgu3eMHD2m2FVVV4Qm8//5dtpuKZrOVZGW7oaq3WC2Mtsmk4PjoiNk06vV6metaC6BZ1xU2MWijsCalyAU4Pjg6wFhN37aSH+o9CRMl+7qO7KoANLH1bGCdDWxDYw2pUlit6LoepRKSZE6WJTjX8fDRA5579jar9YaHDx+M+0ExKSnLcmQ/5NHlPY3A7qP7D/jt3/yHvPHt70jQ6gOZkX0rzRLqqhqZVc552rbBh0DTiO7+ZluNBm83b95ksVyw2WzYrNdS4PJhZGocHx0RAuRZymQ6iVqGAZuIJIa2ohFZlFk0nxA5LWvN3l4n3QVShBdQ4t5772JCwMTPS4zFDZp1zo9ml2I4JO9VzqY8uv8gthn2GJsyOZhzcHTM7/3O7wLgfODx6Sl/5I//Is+9+AK/84XfZrVYUBQ5y7Nz3nv3Pa4//QymyKXDxgmb8Pj4iPv37/Lss88SlCewr5H+wWOfOfFhY3d43QcBvo/uHB2P3dY4/n/EVGCvKBd14bWOSYiWIkHbEpyHZPdGQ4EOpUbTOLwY2vRtM8bBsDNAzYoS+paurWg2a/JSjBr9CNgK8CrrvkiyeSWAqIbIlA34VoohPrJjVPAXrkkbOwJqPuyMUFCyrxHXZZMkYrQWJ2CIf+/GxxPa94OSgrBzwqo3sRtwD6i6wMoJcQ8YAefhNXLu0r6qRLYmS7FZhtbSoaeR+zso9xOBb0JAB4f3He16zeb0MU1bQQRWkmJCkWZom5DkGTZNCdrgdEIxPaKYHGHzUuQq4tE2W9rIEh7k4pyXPMN5KTZrYwhKDLZNCJHx6YAWqg14hzcJfVORpBk2zTGpp904bN9i04JgRbPYpilpMSF0FWP7aQiMMldKy7OIbHa8x/c1KCsyJ75DKYvOJa96EkNiRxHajfkwFLU/QvP6chL/ZNbzGPh+z/fx3rM6P6Nta7IsZ5IXMh+MJT884JN/4PPcvP0MX/2d3+NoOsVYzfn5OUcHc5arNdNpSV7mNNuKclIync15+OA+RsOklPf62j/+HRkXfRyvGBSKtpF4oHE9V28/zTe/+nXOT8/oqopskuO6jjTNKIoinq/CG0foNRqFtwaUI4UoUSKAqhhahjHnFtKUgCnGWnxkAbr9PECDUoau73ayf0CSJnRtj9GKa9evs1luoCICqRbnPNtNRZL4kZ0HapSNyNKUPM0oslwYjFqPcjL7sTvsFSHHZzsY0qvomyI+OZvFIjKY1QdqIAPLfp/1572n73rOT8+oq5rVaoUPgTLPyfKcYjZBJ4Zh5/TBcXr/Lo/ev0O/Fd+HrmvxrsM7Rxe7i9u2pet6EpuybjoW5+c0VUXvhGFKzPOdDyRpCkbjg3Q0uRBYL5Zo1/PGV7/KweyY3gV0OePug4fMrlzlIE0ROEhFbDhcvlz2qpi/74/9Zep7FbN/mCOEMNaAhxgYIHjHer1htVoJGGoMTd3E5y37ZJIkwrht2lGiNE1T2rblvffei2z5fMQ/+r4ny9IxJh5M6Ywx3LnzLjdv3hgBy6IoRF4FiS/bph27gtIkwQdHta3wvSMvChSMTOLpdCa6yKWw7quqwntP2/bUtbByDw8PCYFRrqWqKtabLS+8+BLPPP883/n263z969/g61/9Oq+8+ikhbu7d9+BjZSI+hmHuDD5GKmI4R4eHJNGIWQF90/PUM08znc955523efUzn+Hw8JDvvPE63/rWN/j2t79J1/UcHh6zWq1YLJf8xq/9Kq+++kl+9mf/EFevXkHb2Alpswh8RunX4IUUauwF8oNSatR+fuJ6c6ngPfz7QgeK3u+EslJM0JbDw+NIApG1c+jS8EOJXamYN8T9e4cWxHP44ebuDycrMVT0I3Cghmp8iKGA2k2e4HpOH9yj3W5xrqPvnegIxcTGWmmJy7KcvMhFh1ZLG5YJUk1zPkhQFALWmGj4FpmiLkSqtyTFEHZ6ZUqCqzSxO+f0eAnDA9SReTs8hCGI7iMTYnhYxmj6TtjHm60k24M/cQC6ThimbddjszIycxXddksg0HvHdrWia1uauqFpG/rg0Sah73rqaivBfJBFPT+Yc3h8zMc++UmefeEFzs/OuX7jOnkmifBsNkMZTTEpSWKVRmgpIToqx8DMyzPw3vPo4SO2mw1GaxaLc5FsAO7eu8vi/JyH778HHtqm5ez0nNV6y3ZbsdksZT44H6soyGdHQCuNbfwmAsNZkpBYTZZYiiyNZnIJaWpIEmlJSKwkxkYPpmYRQCDQeY0OTox3GJ4NUf9JXQrUiLqVEqSI8zWSgMRNrG07+k422BBE88XHIEWhyLOMqq3igipaLdIeLMZ0PlZdJpMJ09mBgE9D+RQ+EHD8aB8/+KY2XlcEPJMsx7U12nuU9+KNI8WqEVC8sOjJyj7uruM9Ghd4NbaLOCeMb5vnuAAm70iLnLLvWC+WbDVYJclqUU5REfDom5pqu8F1DWVZkpdTjB1kGbhQ4X8SY20EQJHxVeiE+vQ+1f07lJlFW4MLfqyc/n/Y+9Nn27LruhP7rWZ3p7vNa7MBEk0CCZBEwwYiRVKlkBQlya4Khe2QLH+1/E/4i8P+RypC4Qjb5ZIVrqqIMtVQktVSIilCBECQ6IFsX773bn+a3azGH+Za++xz38sEkpSq8FDeiMR9995z9t1n79XMOeaYY9zWTBzHYoxJ+1pYSUPfY61JFbu9pm++p1YpdPAjqP685OP2Iq6NSYynQ4BlBH9v3edpIpz/FULA9QOhl/a0ECPaaIqypKigKHUK+PdaoQdDJj3PzLjKaqOkTS+kpDIbWXk8arwHEWVFzN8UFc1syc35U7Y357huTTVbEvodcdhSzBYUdUPUApBYU7BdX9FeX0AIlIsVphTGVbdrRbu+nFHMlrjBoU35Y8PXF5OB+MHHHhjxbNaiQdrvOrpuAG145+0f4bqOdr1hc3PNerOm7zvqquLevXusVgtm85msfWHAGst8vhofb9NUGCtJnNIKq3WSQ9hRUqAMlEW5l1yZzJWp1MpeSmIimaINgYBVmhg1WlnQgaq2aDyvlS9x5+QIN0QuL6/ZtS036w3r9ZrLy8uR+au0YrlYSuubkX3/pXv3CYNjfXaGSa12J0fH7LZb+l6MG3Kx2jnPrmtx3uFcpOsH3vj5L3D2+DHXN1ecX15w/uQJOgXQTV2xXMyYzZrUardIaw1UVSHFNaMoKnE411qMsMqySKZzqfiWW1aNHouTMYLRXlrmMtClRWIpxEBVlmOcktlZaZZTFCXbzRpTGEwQFthmt+XhnRNO7t7ll3/tz/OP/4ff4vF7j3j9M5/lz//Gb/Db//Sf8M0/+RN++J3v8Mtf/DIvfexVvv4f/pDFyQllaUVKSEv7cVGWrNc39O2OslmIkdkkCH2GncWzAfH0d88bxz/p/Hwh5nDM0Gf6Nh7++3YRTikxa45KjOecEw1BnYphLkm1GCtGUlVds12v6fsWUzd06+tEKAijOYq1Mh6jEzZQmICpz73Xk2tSiWQg/36eLuX0GUvHSOIBT5KTw88HAi7nkZPzh7380eGeNoJyaHxwhHJGtTzC9R1D11KoZ5k6sO8KfF7hIX82YwtsVVHUDdoUYzwqn0yNOY3ENQ4VPH3fsb25oN2sYRBwyFQ1uigwRYmtZphqRjFf0swWFPUMTInSVhg96bYJDp/igqRxGscOOT2R/EjXkO69GxxD20oSaEXio3cuaacqfCGgtK0aTN2gwoDvtth6gaka+q6nrGdQlhLjGjtKfICiaBaAMJGj60FFQuygbxPKG8FqCD6xg/Vzn/Xznv2LVvj5cfF9jod+3GsinvPH77G7vmHwjnMii+MTqqJMreaWql7w0sfn1LMl3/mTP+KoLJgfHeOHgc3VDVEp+uDxxtO6HcEPrFZLWQ+Uokwmsi54YlRUdc2ubekHYf1qY3DbDcenJzx+513KpoakaXxzs8GYlpubNUppZs2c+bzBRY92AVs1DN6j8NS1yFUI4KuS4fleVk1pIc1472XMRz8WiMbiQNzn9lVZ0bYdOS94/Oh9Hr7yMm+9+Ta63UkLNyJrdXx8kgg923HeNHVDWZSUtqCpKgpj0SiM0uP+mvfKPeNwAg6na5Pv0zpERCO4g0mdGSGDQPkcxohR9/QI0G5bul03duk087kUZOoKpWF9c83d2Rw39Dx6503O3nkHv9vg3SAdTF0vBDo3EIF+6AUodh7mmsuzM/HZIIiMnpaikTaaiBcvBw26sAQnJJ4wDGxuNrz75pvsut/mk5//OX7lN/8CZ4/f5eriCfPlElsukQVvL6u1z3VvjfmfkePD5vftX/3pP3ccx//tc4gclMelbhzpNpcxFUJkebzg/t17vPWjN0f5MqXUyBzO5Mf1ek3TNBOygDDNc3ybDdPatuXevXujRnfXdXRdlzy/RHYz6w4rGElAdS0FFzcMaKOFFbxeY23JMAxorWnbltVqxfX1NUdHR5yfn2OsYbvbiVTGzQ2vv/66aOgOjm9/+9s8enLGd777fbwP/Hf//X/HZ37u8zAMaGtxwVNWFS51zVgtn0F0iQVHLKzFDwNXF+d89atfZb5aUhkrONA68tIrL3N2fgFozp+eseneZXADX/7ylzg/O6NpGr7+H/6Qv/RX/gr/77//97m3WvH+W2/z3/43/08+8don+cxnP8PLH3uV5dG+w9c76ax3fh8NTZ/rMAzEGEdg/nnSQ9Mc/pCMCoowGtxWVcUwDMk0sEyjSYr2e6LNPkYJIRKVdH7tryk+83d/kuOjaw6niE4q83Hv0jvW/uXrsNvQb28Yug4fHIMbwEVZ8KK4nBdGWDcCzFqUisI+y5/JiOkDRsDDmIGIEDLikqqOGayRtg8fRVOkLIXRKqziAFGSsJyAqfQ5ssREroZMdUXldTGxk2HX9UjMranrkmHYpWrhsNeAcdL27L2AjsFFrC0oTIEqNcFoju/d486du7z2qU/SzGfUTcO9Bw9YHR0xXy7GhJIYZeFPwVvf90QvwMhuvWa9vuHpkycM/YDrOi6vLnCD4/GjR2wurwjO8+jRI4gCcPt+SMmm6EkaoylNdpiPxK7HtzvwA/NK2vHyvdDpfdYYVGqxE20Ug7WGurI0dcm8rqnKksLqZFCUdFXS65RKLZAppFSIfAfGip6i3lditNJkjee8yO6rbqL1LO8nGafJs+q6nq7tRf8RAXm9D/ggG59Bj1U6lRYbn4xEQxAd4hAiVV2zPFpRz+fU89XBZPvZPBQqRKBA2RptCxFtTy2PpqwhWlnAUjumvE0lAoW0Y4mefEp+wz44FImJrBktz1B0vSK2tMwXM6ryFTY3a9oIs9UxN7stfjfgwwZblMTQ0203bK6vKIqS1eqIxckJyvVoorCa0vjQqQKqghItrnpOXF+hjCR/ykggWCjNcH3GoimJQZJggxnXB+kWSIByArn9JMDVOoNiexbgmAwlEJcYU+ve9Ed7A54QpVU4pLcI61iPLK3pERVEo8fAXOboxEFZ60liC35wBDcw9C1930nwXFh06mu21qCDBJr79TSXURSkzx7jIUgwVk2VQiSBHCiVfERSiKmE5WW1QVnRSSqamu31BeuLC9bnT+l2W4ahY+7u0MxXlNUCbUp6Y/ExcnP+Pv7iCcEPNEvRifVDSwwD1eIY73rqRZNYXhMd7J/Z4xaIAkQC11fnxOC5vr7mzv2XufPwIU8eP2G7WXN9eUGbjMsWixlHyyOWyzlNUwvz1GqaWgLMEJOuqBbpH2sSM96KQWhRFGISWmUt/CA64nnMp7bzPD8y8KN0MpEMuQARUVkqwRoYAqW1sjY0JdY4muaEzbplPm+42Ww57k/YbXc479m1LdfX1/RDz/pmLayfEMfWORWE7dC6gaIsePzee9RVRYiRvhvo+g7vvMyR6Gn7nhDg9Tc+x3/4/d9j6B1lLazfO3dOaaqKWVWhiMwX8zFgK8tS2rtVoGlqtIGiKlFGJ1aGSRITBUUhYdd+zuZW/ASmqwAkYNgYoo8pGIyYACGZ+cYE9IlRFsl4xFDoEu8cbRRX40Irnjx+zI+SAd+rr7zMndURoPn93/l3fONrX6ewli9+8YvM5g1lYfnSl7/M0dHRuA+jQOmSk5MT2u2aq8tL7tUzgnegDFodJlrPC0R/0pa2n6XkM4Oke7ms9PNETGD6WdM40Fq0RDEWwiBFmRhAmTFxC8pT1jWz5ZJh6Lm5vMQ7Rxj9LSJ918scTuOCBJY2q2O0FdOS8RFNijkp/UBzqCkb84tT8TEnPUFpdAY3EzCcIeV9p04uZoJWcc/8k20jsXH2xZEx8ZkkNUEp7OyIaAr6qzOsEnkrnc4fMnCZ7u9YzEQ6TfaJXL4WLZ1RZSVdiikONFriXK1zPpLYyn1Hv73h8vwc73rKqqFeLjDaYKsKU8/Q8yX18g5VPUcXonPs3UDsdwQnbECdGP4oi6nm2HKGK2vKZo4LIm9jixJ8wLm9xisx4HqfgH43gm2mMJRVRYwKawtc2aG7AtO1FH1HUbYCUAdHcB1lVaOKY4L3+GEghGSsTRhBeGUKjC4I2hDcVgC+ICxQAKM8wsC2fJAG6Z4skJhe+0r5j5k1Pz3HNGm/XYSf/iz//HlFFwX4vuObX/sqd47v0KyO+NTrnx71IVUEE6XzKqBYnd7hV37jN1lfX3N1fiEdIi4wXyyYrUR78vf+9b9ABc/Qd+NcCm2PHwZ65zBWi1a5gdIVKY+C3dDzhS99iW8bQ1OKfuVms0ZFhUbRti1tK0X3EDx1UzH4yGuf+Sw//O638IVOUoBFwnilKJSjxRADYFBGi5eBUpTJ+Crfj9xxJ90wIo2T8ztjDF3bcnpyj9XRina9oe+lyHV1dc1LLz1kvZZO17ZtsUazWMxZzOfUVUldSTdONsbVt57hM3vSZG0an6VOfOtUwLmtrD2uaUFau3McFiN4JyzL7XbLei3m8M2sYTafCxGjLFhfXnJ8fMy7P/ghl0/eo9/s8MOA8wPtdkvf9QKIpcEj64+09rd9l0DEJLEVRVZSpTWiiBFjLYN34zqnlRSUQlSsNzuGd9/l6P5dPvHZ1zm5c5fd1TlDu6Uo5oBODP8PL+D+rBwf9Hlub83/0f5W3BdN896UgdzM7J01MwbTU9cN6/WGoes5OztLkgyC3wgzuGK9XlOWJa+88gpXV1ejpMTY9WztyGStq4pyNiPEQNd11FWddL4lJyySRNtyuQQEmOy6bmQqZ6JV3w9J0mVAqR2PHz/mYx/72GisVhQl5+fnlGXJMDgxse46XnrpZS4uLnn33fe42W5wLnB2eU3XdTRNwx9944/4u//Vf8VnPvMZjk9O+OxnP0PWED8s+5LuQfIc2qx5evaE09NTdtsNUYlB5eroFS6urlivN7zx2c/x+NH7vPPoXXo38PNf/CIPH9zntY9/nPXFOZdPHvMXf/3Piwnk4Li8vOTm/Jx/+6//FauTEz716U/z4OFD7tx/gC0LMglRqX1Hch5LWfs8Y4lTPPGDjrHbKoQRcc6eLaPp6OD2cpWotPYwDlQ5/14h4XDwHZIUfpLjI4HD44eLOei9zTzIIeXAbn1J9GLMIm39AZ9aI7QxY6VCmKUVWTBZFqakeRWnaHr6CzppoSn2Ls8JjAqptc4kkW8joj5YrYnq+QxAufmaruvH5OUgIEhA9K5r6YcBNzi6VtjCuy3JzEol4zQwhaHF451cdUDRHC2ZLxfcfXif19/4HB//9Kc5vXcXgHazY7Ne0/U9MQYevfsu11dXXF1e0rctb775JrvdjiaJee+2W5ZHRwxdCzEwOHFUH7atVBMT8GqNSexEmJU6MSIiVVOgUKndRsT+MzNXKUVRVBhj2Ka2hhyYaq3FgEwJ4FYoMQIsCnGRr8qCWV3Q1JUEDwlQMNqiNWRNREk2EyMj7IEtrRRGxKSISS9PmNB630agUsKSnhtKE60RRkyanM5FNpudBDhJ5iNGKAthNxgtC41NLPXMwJJWDAGFh2TGYKylWcyplwvK2YK6WQBmWmj+mTyyvp4pa3RZUzRzbN/T7zaYrk3mJQJmTOdnIFeyNFmv6hnGbgKEcquIsF0k6TDWMDMzfCkMuKurK3YXT2h3OzoFVZ0kYoJoHRa2YLkS/TRlDDEKWBqcw6OwlTD0SIWjmNq/RjZrBn5RKTkVtpYye23ykUWbr1+lAlQIY2FhD6BkoOdws3heUjFlLotreqT3kVjOaBYLtGtRQ58KHzLnxkJNuuMheIyarlkJHNYiYTEeqcoqxgWSQESS/qLWKGNEZsdIC83hIR0ZOrkzCyPSJsbE/rVj4DMWCfYSFKOKuDbYlORrrbFFSdMsWd9csNuuuXnyiNC1uOWWenmMbRrq+QI/OMrdDZuzpxL0hIjSht1uy+BhfnKf6B0qeojFM/vi7eOFD3BjZitJFB+DQ0dH395wfvY+N1fXvP3WO7z2mc/x2qc/ze/8i3+GBobEEmhmNfPlnNXRYmSxuoksQV2JnqwAURKcFKVOhT1FPRdQ0GgNQWF1ISw3UlfPZOz7SWHDh73pYlQhAcPCipT5IvPP+EBwAastphKTG72Ulrn5osIF2Gx27HYtWlu22x1d19PudrRdSwR22x1DcNRlQedEPmi7FVmL4CN+cGil0UFRltK55IncacR4adFUvPzwPtpoZnW9B8iVxD5NXWO0parrJA2hqJuKsrDYQgqhAtxIS3hhC9l3rNlriylFRMAiRS4+CYAOEe+kRynxlvYgUVKcCcERVC56K4Yh0Ha9DJFkHjW4FnwgDAO10qgQKYqC1f17nJ9f8tXf/V3CekdRlMwXNc1yxoBnu9tgVDLhZB+Qi92dYbu5lrGh94H7/9gF0xepQKsne2EuCEpB59lXamMZ2i1BqUQ2cNgo7DkQGYQYC2zVUM4Di9SxEolUs7lo3qfCQfAB56XtWEyKGor5AmWK1AG4n6vj3fyA5TG/KkoCIHGASkazab0fXbpHJJB9pp1AB+KeaaiUSl0n+z3ztj/AyPaLHr9do5BuotvAXb6f+8LmPj+Rax7RSbluK/fQFIXEkvlTpr8fgyeicVGjipL65CV277+L8ZbZrGE+n+P7Hk2gXN1hdnQXU87wrqPbXtFtb8RnwDkBCFM7Kl5YfkVVU86OqI/uUDRLousJ/Q5lLKaYEDkmOVaMQQq9qH3iqaUrz40+DhVFVWGrmnrWUhQVttpQzOZUs54wdKiixlYNRVnhB4cP4nQuhWVpL1daY8qaGAdC79J4EnkZbffF4w86DvbZyK3n82Ic+zH54YWvfIzjLc8BpSB6Hr/3HqujY8xszp2XX6WerWQ+x0khBXm51oYQYLFYsJzPCVHhlSJ6z5s//BF3HtzjP/8b/yv6rqPbbVlf33B9ec7F2VPabSuGiMERvWdVVkQfqeuWedMQFOw2awoFq+WCo5MTNl3L9fkFtS1o3AyUYnNzw+X6Cr3VLFdH7HZCDNnsrikKzSyRfEDy8MyqVTmHhn2nUIqzp6aVWilI8YZPYyp3UsyU5ck7b7Goa7arFRdn55ydneP9wM16zdB1rK/XDH0vMk2lpW5KKWxWFluKniupAyMXqaYMvXEMTnK5mK7ZZN3dtNYFgoDnEwBnjPnHc8s52q5ls9mw3e3Q1jBbLFisVqPHQNVU7NY3vPntb3H99Antdod3A66X+KXvutHcS3x2BNew1lJVBcPQUxUWrTROJ3KU1pjEEDXGsFgskm9AMl6PoKylS+xsFaEp5xDEhNM5R79ds1geEyjSeHxel8j/fI6DpevPul4lvOzgLKlIlnO/EPy+OJoA467r6bsBPwhzt+975vN56urejONwu90m0LYf9akFy7G4fmC5WFDZgt1my2q1ksJPjNy0V9J1W5biV4GMs+12y2w2Y7fbjaTEEAJd31OVZcLZhGy4WCxEOiWEibTElqqqiDEmEklB27acn59zcyOmdwI6l3S7lqKw9H3HarngH//Wb/Hb//gfUzcNf+kv/2X+9/+Hv7PfM1IxSmrTct8KY3n8/mO+/73vU1kx5zRG44NnvdtireWNX/gFPvHqx3hy9hSiaAn/y3/2T/HO8Tf/d3+bu3dP+eOvfwMdYT5bcHO9oaorjk9OcCGw2ax5/933WK9vePOtN/nU65/m7r17jAajHGr5ZkPAjC1Nx9HtQtUUPI4x+Z3oSdF+Ov5i8i6b4go59gJgjwUcxJpKoSOjnOpPenxkQzr56zy7buRPoxRhcOw2V3jfS6v14HApSOq6djQiq2rRoM2ghsR0gZjdk7W0LmmlxvarwQ3imJoqIyEKBTvfZGnxKslsBZ3lbGNMrGG5QbnKkRH+rBs0BYNy4OUHz+C9aP0RsTbJyGuDilL9HXygH0CVFQ9f+Th3H7zKw5dfYrZccPfhA6qq4sn77+MHx7e+/nWePH6fJ++9x83lJV3bQoiJ+RHo3YCxxaj7Yo3hfLejH3oUimGzlnaSGNAo6lICvdwKohJYnRm72Rgot6bm0qAEIgprbGqfj5QWVouGuiroB9EmHQsByL0pCkthLGVVYpN2cF2VWAvayLm1SuzBHHCm9wq7kgRGk1ry07UZD1j2jrd7Jos8m72MxDgmE0vUOUfXO3bbnu22TRVsqa6YSSKSkxDnYtLR8/jgCSGm6p0jJBOO1dGK07t3WRwfszi5I6xZDifuC3P8KfY3W9YUsyU4xzxENn7A9Z20/aeFab9Qke6tvHcfgD1rRDJ+PxmbREMIPmlXC3PnGM/QW7ZWEfyAVlBqMFWFLhbYoqSuZiitGZLxo1TcVdLPtom24RhCxM7mDBdnFApc3DPZrBX3Yfkghy0ZkTwGJwHlJAE4YDjlW/0cMHhaZNnLRDCeD62o6xrnI+vzx5QaqsKOmtZx8n7JskEdAMPPr0xOrysH78ba0aU9szj3CQ2jw+mU6TE+sxTIjG2CHzB2pvfq4GdKo00ha6exaFtSzBfMtzfcnD1me/WU3eaKeXuHerGisAWGQFXPaI3BDz2b68vxc9lmweL0Pt3min63oZ7V6d5MQIPpNcCYLLwose/zQBA4vPxIxPcDu/WGq8sLXnr5Zb73ve/y2S/8ghgx3NyMe0GWXmhmTdKzVMzqSvaTpHmdJRD267QwU8uqks6cdJ783/QaTWpzNLlVOQFVxDju28Lwzt0HiuDDfjwnmlkk6ecBxkl8EGLEuUBVWsLRkr4fWC1mDM5zs94Qghis7nY7tNGUieGkFKlQKCOgLKsxjMnu5IOX5MoWort//8FdjNZURYFPJq3G6mTUY1PcoMXwNnXJFIXFGmHfaGNEdzndh1xMMmORar/O+OAxuhjXwxDiHkh/dkTgfTICS7wmSQoiIYi56uAcg5NgXwyFhJEwdANRKbq+S+yRiuADVVmzWCxpZjNOHtzn02+8cYj7CD4NwHK54OLp+wn4j88wr24zhP9TgLgvCjD8YVf5TNKZimraGlRVsbx7n4u3bgiJuaqSR4ZOoJ3o0RUJpBVZLGXKkekdb/0thRQZp4zO6fq8J3s8/zqn+5oqylTgSKSO23ueAhUOmb/5Q45g73RfSUeO98QULxWVsr6xgkJ5ojJEDtfE8TNOkR61Z91KDqdSoi7XaYtiZFDnBPgA3JOLZH7nJTAF5299l/M3v0sYeobVEcoPlFVNsThmfvoSMUa2F4/prp4ytGvazQ1Wi3FkxDC/c4ebq0vCdiNAUd0wNNcQHPXRXUxRo4tSzFyVmHrebgse11zUQf6iQIzOulYk7WLEVAXz5YrF6piyb4h+IPqeop5hK4cLDmUrymqOVnUaY2pch+UWKLSp8XTE6NK9CePvhZH9k4hK3DpejOkLHK5t+fvJb9nnJ/Hgp6SODlC8//77PHzl47zyiU8jitaHRncHc9UHzh6/x9s/+C4x6cheXF5z9vQpZ2dn/NW/9tfoTk6wRUXdNJzee8j9l14WKDMK0WKzXnNzecn11QWb9Q0X5xc07QxVFfzJH36duyenNPWc86trvvCLX+KPv/qHzKoq+dUomqahXq95/PgxFxcXPHrnHT7+yU/wrW98la6w2FKMq7zbF57ERMmOd2BqwJT3vakc0vR3UqyxDH2P1oaqLLh7eoRWsFotOHv6lKZu6Pueq6tr1ustVVWyOlqyXMxomorZrMZYPV5Lfia5YHVbIu6Q1DaVntk/lel15vl2WCjIa0ZIhLEd6/Wa7XZLXTfUdT36ElS1mL75tuXi8pK+3eIGJzIxnQBmU4NPAc1FfqqqGoZukJgggXOZ3AKM7MIusUxdMuuTOMBLZ0fUqUV9oKpFQ/Wtt9/iu9/9Lp9/4w1O7kVpxYCxmKZG2agPZl+/aMdPAvYe7HW39oSf5PNPwTr2W+II/Mboic5hrRiHGaUoCuluno7DsiwIzotR6jBwfXGBVnrUBj87O8Nay/X1tXRCJ4B0t9uJln5hiQo6N1DNGja7Hd4P3L13N+WgepQZzJhTVdVcXF2wWq3o3cB8NiNG8RCLSgogGfyVgoTmyZPHHB8fs817jxGd3L7riW2Pc57Ly6s0Nw3BRc4uz7BFgUFyvL7refnBPaLSlHXNdreR7tw0BEMMRC85ilaaQhf0mx27mw1u17E6aYSM6r2YPWtDVdcsZjO0KWiaJrFvDXdO79J1Leura37pl3+Ft99+h/X1DQHFyZ1T2l3L9fWVaCzHKLruzYxNu+UH3/+BnOPuPVCBEMB7uUhjMhlS4nBZVxg7DKZzaJozTaUnst+IMhprGMsKuWh+WHSdjuX9vnx7rIqX5oezl28fH11W4gDR3geUkHV4Pc61DF1H8BEXZSL07Y6h60W3bl5ijKUsKsqyGrVCcyIUoxjEhKSZS2YjIG3Zg5OW18xQEh02qVJYW4DZaxyaxD6NXthmsmHL+bKcRN4w9vpkYkgWQ8QNnrYfwBrctsU7qdy7qFDaMls2RKV4eO8hP/+LX2Z1fERIDOAffu97bK6v6bby2TeXl/ihTy2YGjc40JpSK5ENVopCF9hgMMriXRRgenAi6p+cSAtjqcpKNpbkBhtDALNnpchA3LO9hDUrwJC0w0iw7fyADx5UorbHSGNLqkIYQS5IMBhDlEUstRQ3hYjeG5XcookY4t6hWE3b3NXISjPpmShEJ1KbafV1CiAGkhytDLoowNQ+UYio4IUR5zxt23N9LYL+ot2o02cUg5eQgfM8WfIADsKGCmHAByTQNZrZrGJ5tOTo+Ij50RGrO/eJ2hJVxH7ECsxP+3E7yRp/rguq2Qk6CNg/tBu2NxfCGkwgi1KpNS5Jr+zXngyiazGyvP33MmiZ/qZRGh1sAvWhqGRdKN2Mar4iuB5iwGiDsiW2SC7gIRlTolLxRoJMWxSpyCBtktpA2G0wWhGiljko0BAxukkQKMxCrTU+REIMwppVXiQxEiCax7NKuqGHwcMeuM1BKWTDCoe0Y+pxvGcR99C1GCJzu3dXVkn2ISfHSu0TehUj2pSUSZdI580mPZsRrEmBerQWNZtLO2lOLJNZlrZWNhD1bLL9zNewB6UYwask7RIz62LCIo4TPfScTGqL1oZoSpR31MZSVjN260uuL55y8f7b1Fdz6mYu7KZ+i8hWeGLwYjUYI8sHp2Ju1LeE2Uy6SSab1B6s2N8zGdtqBMFfhOO5AMjk+xjg+vKKoevGffDJ9TXb7Zq+70cJh6aqWC6XzGazVDQTZknd1FhbEiMUpkhJEKm9GspSEhyfgkFb2D1LcHJ9eZyMumDszas0kRgGAY1hUgTMiaVJ5iqBqi6BKrWcMoJawQeqQtgtznnqMjGSlGG1WsheqGDXtnjvUBG6TnS20XJ+WxSis8m+SFwURepIUsxmc3a7HRApihKjNc4N1E2V9rIEsBcmyTOZsTumLESKKSo5d9SHRbHb7KPbifIepDq8p4vFksvLy8lrRaM4m2t5H9HaiD5hEDmrohQZiPfeflvuY4hicBNlf2zblqurK5TSlIXEQGUz4+Offh2THKJVAohkG47p2VTUdZWSkbwPPFsI+7BA9HkJ2jOB78/IkdfJ5xZImTzn9P9aFxS2pppVPA3fE+mO6A/AXIUWULjSmCRTIkUxSzYkiSlAV0g8NQbsckFkTvhYwInCtCN158WY4koJDjFFKUlOTmgmhYsYg7ABk6xLjCRpmUjwiQ1sNN4NwmIZQdp8ggziSleRrhrwstaPCXr+LyHf+3uohRiRunoODpXPqtLan2LYqsLYUvS0M+CZkuXUp0as5swfvMawueb9P/4DdhdPKWOkOTqinM+l664whGHL9slb+KGj317hu5Z207K5uUn6q5JPBN/T7bb0O2F9LVanLFHsLp+I/IwtiKYCZbBaj1qt+fNba8e20iT2JPGz2oPbrutpN1sG5+jalqHr6Xc7mvmcuTshBocfOqwbqOIKS2SIEVvPJFdKYyOmOEJlh5VJrjfKVskVjLdcpcG+/zphyY8FiQw8/Wlm0v/4x+1CxrO/l/+7XYxWTNe4yLvvvMPpnXvJqFfG4ljHGCeCrLdd2/Lo7XfYXF2hiTx5esFv/cN/RNE0/J/+L/9n3v7hj3j7e98hG72KMbrMS6U1tigom4a6kq6Wuy895OErr7Jdr/nh977Prm1RxnB8eopptyyWK2Z1jU2FUVOKAfvR8TEoePr+U9555x2+9KtfYYiKtndUPmBsyq1jBhDzmNg/77HAGXOXrjkAQqaMYp+YryiRuKhKy6Kp2Gw3Ytx2ccZ6XdGlmKCZNxytlszmNfNFgy00xqqxC3b0IJo8x/yM9q3ek3wkPYM4IRbla58CyofF+jDmPd47du2O9Wad8lT5e/rgb3v67ZbteoMLPUMv4LB3vbAGzeHfLKsq5b0SE1hrRXt+cPTDMHZLhxjph4G+Gw7istwlnAt50g0W2W23wgZN2uVuLDZnwy/FlIDygkzXn6Jjn4VM9zmFIiovBovRj8/U2kxO9KOJYpHMzV2IbLdbhsFRVzXOiVTDzc0NdV1zfX096g4PwzACx7vdlqPVgtM7d9hut6NsRVOJXvBisaAoCvq+Z7vdJu+MOYMbePnlV3jy5AnHxyu2W2HgKqOxZcFsMafd7oTM5AY++9nPpGsXkkIuYEcil1fnzGcrrq6uWa2OeOedd9J9gHt373J2fj56V82WS1zw2LJg8I7/4r/8LwGRVZVUUrp1vR9Y31zz5P0nfP/b3+L64pyT1UriCiJVURC05uTkFGUMRVHR7Xa8//77HK2O6PoeHwK73Y5vfevbvP7GG3z5K1/hD37v9zhZHrO5uqFqKgGhtaKuS25urqlnDfcePORmu6GuGwY3CJ5GRCkBf/Mal/OnfV6c/70ni0w7KfJ6MmKSk3XmYP/k2bXs9vHsz2KKt+JzX/9Bx0eTlYiMjvR7Jtnti4pE7wkuMXqdT3qX0sI/mzWjG1/Z1MlteYxY0+KU3AlT25oYIjhQogBtsbTDDm3UWDUX9k5B1jzNbOAQBTiOCaBE7U1ypsyFEPY3LjNwum6gGwY8CrfrhGxnCqrlCV/5tV/jk6+/Trtdc/H4KSHAkyfv89V/+6+4ePwI17YCODtHP0jrR2FER9QTxTAuMAI5IUa0FkDLmoJ+ECdXMeyBX/jFLzM4Rz1rODt/ypNH7+NiQBWG3a4lOIcuDMcnYnJwfXk5JtyjXEaasD4GVNTj5r0PUuK4keTWRCtliATixgSqFyMrOUQIVrQdc6io0r232qRJE8dNeGSvqcNBnCeS97JwhpDdk5NOtEaAXDVpxwecj2w2Hdc3G7q2S6+347ldDBTWEBMYNgW6IlnjNXGuNZhSWGGr4yOO797h+P49Th+8TDNfEpSA5y8S6+H2IbnSYRL+YQuGNsIS8K3B2Mxkza3PUzWu/RxOZ93/JgWQoj+aq1t7/dE8B5SW9od9pd9ibUEZI8EN+wRbm/HsSsumIadRKGMp0tgdmS4ggv9pjMlmnUBOlYNAn8a/JqowXp/OBYu0zpCTAfYs3hCmweY+JIhxz6LLoG0275M28UklEYXUSaapVgZeGP8d2eukZc26ruuYGjYegCzpnsk6UI8dFnnzMVpjimIMfp83HqZAhmiipmsLkYAfgx+ttIDXSbfs4DypvTA7lo9BtlZoXYoRjxaQuqhr1hdnbK+vuFivhU2uRehfIRqOw+BQzZLVw48zDP34jNIefDBFc9AbIRXGktneCxjxjvdu8glzMrHebKjKir4eGHoHwXHx9AlHqxUXjx6NxcHFfM7x0RFFAniruiQEYShZI+64ZSms+6wRX9eNAEBa1uJ98WKfDOZEcGrSkqWDxqJlAjKlUCDJ5eA8VVnhg0cZAUZCCAzOj8x5MaTNAJcCFLawFOV+/q3X58wXC6JSVNVcAC8fkot3GJnDIr2yZ+8SGQPx/DOTmNJFUeyLLFonpgdJZ98So0+/y3ubkmJPikFCGu85aJyy/fI5M2iSH2kO4hQZSI5cXl6Ozz63DsraA0rJWjM4h/cR7+U1dx484OzJE/q+l2uzhu1mS0AxDI7tdpt8FgymtHTB8ak3PscnPv26rHFREso8VWIMDF3L17/675k1Teri4cCQFPbx1Z9lfP9sHT9+r83zOYIUHEG0pqMiOEfwjmiztETiJClNNIqYY7OQu7Ty+Q535xw4ZUklAVn38RAHa4tEc1pLsVVpK3r0cd9lst/rhAQQYkCL9lgqKsRkGrxnyajENFZKyZ6QryUByzmRCnnMZuAmr+Exd+nkvy+/J6a5NwG7USlJm14LCOuxqDFWJIg6HwnWUjUFsdthYiDEgqpZsbt8zOPvfZM+sZzmiyVlPUM1jWh9aokj/PaGfruhXV+y227p2lbkJpqaoqpRdgYR6qqk0NB3HevrC2KMzLxDGU21OBKdxqph2G7wXtiI2TzIFCW2LDBFQVHX+46NBJQTwfU9/bKla1u22zX4gB8G1peXDP3AYuiolysi2TfEYGpD322xRYVSst5FpYiuxw9rVPQo5eQZqcQ+n4yS6YiWZ5QeyQSce1GP28XPZ4uzH/CeSWrsnGO32xIJRBXZR85qBFQySYYohYSzJ09Q3vOd736P7735Fn/jb/4tfvU3f4Pj0xN8VDx6+12ic4gMkcgzee9Ba3beoRBTQx9y3BixZYmxlqOjFVop+rblpYcv0643sncjZAi8Y7GYUzc1290JQz+AKTh9cI+XX/sY6yeP0xoQDu5F/uw5NigKaSfPOR/sgY0MEE/B1rxPgsQX1ihWyxlKK7brG4auZ71eU89nzGdzFvOGorAcHS2TCawasYkM2AbiCPJIKvssAzZfQ97Dc9w+Anrpuqb79uFnDsQIfd+zWUseKrFDKXGFkpzYeUcYPLiIG3ravhWvIB8geLx3DH1PkbwbjNnrxBtr8d4JlpK6/VwyT1dKCTDcD+N4yvewMIYCkY8gqNR2b3n09jt89gu/wEsvv8L68SPKohjlG6d7xx74nwQo/zM9Pgrr8oMOAf4Chj1hKGNSUtQPI35hjGG72eD6gbqq0UokREXLV1jkeW/w3lOWJXfu3OH8/JzVakXwnrOzM/7W3/7bfOdb3+Lb3/62xNVDSFjcbJSQyPO1rmsG57i6uhIJCu+fKfBsNxtmzUzkSNJ4NUZwqHw9GYg+OTlNMaoa4818L29ubgDRNr6+vubOnTs08xnnF5fUVc0PfvADXnrlFYoq4XYu4CNs1mt+7/d+j7d/+BYnK+l2my+X9O1unDeL5ZL5fA5GU1YF3//BD0YgvK5rur7n6OiIy4tLHr33Pp9743O89cMfsr3eUJQlPgyCZSlhAGsFfT+wXq954+d+jhgjNzc3HB0fT9awTNjIebjEOhLv6DF2B0bC2G3pCeC5ufgHkSl+kvH2pz0+GjhMPAgGckAyBUQANAKiRS8sgna7o+9FdLooLAqFrUpsIcYzSiskx5I2Bq0gGAPRQAJYfVR0IVHwjaesigPB5qZpUqKikwFZ3owk0VOTtqyRifCcQDeLg4tIt8OHiCkLXOtou4HP/eqv8qu//p9xeXbGP/+t3+Lt738Xk4EhAoUxVCiKqsI7z6Atr//Cz/Ho0SO2N9eisRgiPgjblahFz9gN6X6Ky2HdzNDa0HUtfd/z3W9+k94NrI6OePljH+PlLz6kKEq8G/hn//AfURcFs7LGtR3DZseimaES01drja2kPbduGgiBzdV12hAzXMYz98cYjWVfac1mfkpLQqqJmKKiXC7YXF5gEztt1JOzRUruQ9Jl1M8ECfuJlAAmvR9LudoSQk5iDsejD4H1esf55Zq262VB1aKHKu7vXq7Rq4OK9UGAorK8hqEuxeylqmuOTk44uXeH2dERy9N7RG1BiT7u8yo4P/VHAjWJh9Wj28n4YfArX71z43+o/eeeBn3Te/tBC9KUoX/492FcOybMuum1ajNZqpRKzwGCT5XzENC2kDb0GImpRVzAkr3cStZESxEgU+ZeBpHydWVM9nluo/k/nyqlh2sKGHN4bzLgnYO557XVHTyu54yt8ZrYr2/y5XBuxPz5JsnzaLxhC+zkGY3FlnyCD9iE9syfSHD9qGUZIQXfWoyJEsBLYl0cFnNSgDkFItLEz/qVURus0qxMQd3M2Fxf0e22RDdQlKVoOfUdysPs9AGrey9x8e5b1Hba0rgfx/HW91Og4UVChw/Hw7PgfQyBXbsTcL0sRTLAWv7gd/4NH/vYa3znG38kjIP5nPlsNgKVVVVIMcWIhnVZFAmUZK8db0XyJY9bpZ9N6g6vT40a8MH7xCgUNq1PLVghRpQRcMLaMpkxyjAMUVq/itLcAmYrYgqehz7tl4ixjQ2BqpIOkKPjo7Sfglb7QpIPIU17kyTR0yhI8lGQmHgRQl1gk6yT92kfNVkjLkzmn0l71+GcykznXEibJpg52M7t4jEXjcK+YBPi3phiLHSmz9T3vax9ISY5JAHSiAofY5JGiqltUIl7coh0fUsIkeM7pxwdHaPQ7HY7YXBbzcuvvcanPvc5bFkL2JYQjvFzANfXl2zWa+qqPGBETffzaTvxjxvPHxT0fiCI+iLtueRHuActP+xzj+MnGdINQRLA7XpD0czQ1osm/u09OwG50jXx7N4+Beny99PXKKUOWCwZ9LFFJdJgGbzl1l6Qz5HIDUoZMUaKUeTFYkS0tGWejkWD3DGgxv+TToO4jylU9Eigud9HUPv9dRwHKu3rk+uTAo7ClKWEPEE0t0VbF3TZoIsSrwzRWExl0cHRb9YUWoFRmLphe/mEm8dvErc3NHVFuVhRNQ3altjM6Bs8buhx2zXdzTXtZouPgdligalqbDKhkk6kAN7ju1bibu/Y3lyA9tjCpEKtlbVQFwwBnPdUSsga1XxOPZ9jCoPWZfJvkJsQU3xcNIFyNjDzjnm/ldypH7g8O+Pm6gLvh7RnyxjzZYWONUaDHzqJnzSoqHC+R7kOcjeOlk4xlUg2ahLDZEBe8WPm6K3n9SIcH1Qs3xfg90WXg/ekIrV3jl/5yp/j1U98YrIeTA+PdwMXT88Z2pZvfuPrzGc1f/JH32Z19x7/x7/zd2iaOVprhiFw9/4D7jx4wDf+/e9TWk1ZFwJ65ng977nk/Ulhy5LQ94S+x6m9h8X54/cBMU+Vzp2BvuvBSsxqteXk6JhdP/D//Sf/hPd+9AMeHK9STOxlPEy0Lqfr29ixNPnd7W6jqX5vXoci+7WrKCxHi4Yv/fznGSLs2p7r6yuC95zeOWG5XFDY9HoUMSp8kqLcr1VCxBgLw9PrZJLPxP1end+X5S6n43W6ruZCl/dBjLr6HqJ4EsxmMymsKck/h2FAa81mt8F5x9ALuIY2lFVJ3233uXNKPoqyZLvdUqbu4Gw4mo38chyhhCUzgnVFWQqxpyhoZjOGXszZrSkoioKrx4/5kz/8Gm98+Rc4Ob1LWVYE8v6Rim8H3NdnCyP//+OjH9P9UwqkkXbXcrPZSlwcIjFKkb9td6jE9g7OjWPap87Pqqpo25b5fM7Nzc0BltW2LQq4e/eU/+vf/bt88pOfZLlc0rYt+Xnmrrzpte12u9Gvq+s6hqGj73vZf5qatm0pku5wBo7Pzs5YLBYMSeN6t9txenrKZrMRXxAlGrybzQbvPZvNhqYRSTvBcNbM53OqSrrhrbWcnJ5gtEi2+RBTh55IpC2XSz75yU/yzptv07Ytuq64vLzkZLWi68Ub7O5sxv0HDzCF5enjp2zbLcenp6DF4K49O+Po+JiqrvnGN77Bq6+9xi/+4q/wr/75P6coDW7XYwqD8w5jDcZqBtfRDS3vvvM2PkYevvwykORnCWNH4X6/yDiB4AeZbJLv3b4opUeAf3rcxmVuP6ufJEZ+Xqz3kx4fWVYiyu4uy8ZEGzYSUEr0QUJmEAVJpJx3WFtS1zNpvzSauqnFCGLCRpAPoxOeEbExMLiIQxMQofgYeoSvpiE4NFDM5mKmlD78QWqi9nhHljmYtoHnhyQbSMA7T9f2hMzaCNIGsnORz//yn+OXf/03+KM//AP+5T/4LebWsKwKdGIoOJeCXyUauBhFJPDm979P23UMbUdwfqwkFkUh7MRC0YRqNNnw3ktLmYvUVUFhNaWKlNYSNhve/OY3ISV9SsODu8fYUZsUbFGiFcnUTTaNoe1QCtadtJGIVlEkt4qOzzFmGv9+IGmtMUkbR1hXwmbSVlryh/U1pckJsWhOZt07yBpPWSs1tS+GiJkAwnuwQVpxo5fh5UOg0AplQTT2IlpFoo/sti0X55d0vZ+09gyywUdGLWUU48R7NrEhMUcDdV3RNDNm8wWL4yX1fMXy7svospFLj3tdzBfuiAdfnr0Pz1k0Ihq8x+3WDO2OoZexo0yFMiWkOXd7/KQzTn621/2bAijjBqkF6JiEX3Kf1S3QOv3bB0cMHoJjcBGUpqiaERz03okhWxCmkMlGUlFCHj0ylvd65RnUiCESjbDv8sea3qu8IeZDihmH5hQSBE+CqRiS1qoEk3n9yWvF4XvzmQ9ZGQcg3D7TZ6q/PUGTDl4XVK4NTAJjNZ1zYtYoVbVD4G+8mgT0+aHHJ5MkPwxMh40qCsqiRFsr+onGJh1MLYl+lHsh580chZjzWym+qIjShqgLbLNklqq3vuuIRjEMXmRBypLVvZdotxu69Q3zBw/RpkHF6bh7Dog6AY2n7NsX68jPNrfswuCdaNal/dYY4SY8ffQ+Z+89HtnVZV1RFCVd22KsIYRUlY8+SX8IEGFLO7a3TcHPDBSGUZooSwCFcXxJi3Y2mkoyUFrmVogWrzw+enSImKQjL0GS7EnWGpGi0FlXMyW9w4BC0w8DWgtzWGstcysE7t2/T2Zh1FWF8yIJE1JwWWkzaiGrIHuLDLtiJMbEkfFvRyDDpJY/YzTe5xYy9nNHpTkf417+IsYD8BQYu3HyuJwyMpSSomsM4qOQXyftqZqsPeq9JIX94PGDz2mbSDwYy5C0adGK9c0119dX6fl40IrVaoXrHd/4+jd49Oh9ttutFAoifOXX/zzNbJY6ANR+LikZZ13b8kdf+w8M3ZamehmjRRs1wH7N4TCJvL3e538/M6I/IKB93vFhbIqftkORoeH98WOvXyt03RCT6d/m+ppmMcPYAq81yoohUd5PM8yR/854J2P+WRTWYgKsiDkmDiNLnRhRUYrp2ojkD7CXcohiHJmPNHPGokYe6wdSPSq/agJaR9lksp+HSAXJmm/03pyKsZ05VYxULiKnNSYZN6r0Wj12E8XUuWZTyycEHGjpSijMvmtN6YiJHt92RD9giBAtUQnQ3l2+j/IeWzXUzQxTNSgtMUa/3SWpCEe/3dBv1+B6bKWZL44pmgXaVhRlkTT9Zb2LxmGNGbvj3Pqa7fUVpSkgaqqTuwQf6LuOoCxBG4JSNPM5s8VCnr0tQEkXlwC9iWmUQHhvS0IMFLMGP4iUxdx7uLxk6Dramyua2UKK6s6JUY024Hti9BANEU/wbXp+KU5JAJxSBhJZIt4a3ZNI8GB3fd5e/CIdz1u/pj8bQd9J3SMbPvZdx7ZtqRrpZskzMoPKWhu+/53v8u1v/BHvvf02Tx49oh9EEz4EODs/o6oqjo9PePT++yhj+Gt//a/xT//JBddPnrJsGrySnKyuK6wtKOxe7swmY7SclymtqcpK/HS8xxojGrSp8NJ3HRdn56NernOObrvj+vs/YlbuuwdBJRLOfgw8r2Cc97g98Lnf2zKTbkqWkPwwsfytJcaAKTRWaeq65GQ5E/kIpVIRSlKFwhajb4/KMboidS+p8bmg9trdEUZGfEBhRmkMNcb2088i8nn7mCRLpGSQNhDRVkwhyyyNl3wTprIafd/LdVjL3Ycv886PfiAF63TenM+u12LA2XfdCCrle+icFxA4dTqjtKwTs1kCvQVc00qJ8VglXb/CPO156/vf46WPvcwweOzRTAg4eR15Hog0ygO+WHP3T3N8WBH3z3Jk1rcYCQtA++TxU7bbnUjtGfBDIj0qLczSLB0SIpvNmiLp/e92O4qioOs6ZrMZNzc3/OhHP+L4+Fjif6PZbrccHx/TJTPqzOzVugJIBnI7mqbh/Pyc09NTdrstzWwmwKsWY8wwyX+rsmR9swZIf8ccrI3Hx8e0bZsk4mSOlImwohPgW5YlF5eXaGM4PT2l67q0RiiWqxW/+Rf+Al/5jV/HhVR0VqljNsWWn/jkJwk+8vYPf8CTR49QVcW23aFVZDYTVvPQ99Szhkjk9O4dri4vWayWOOdYHR2JKWwR2G63PHn6lPlyyZ27dzg/OxMDwKGjqErBEIqCsq5HtnQ9m1FV1X6sxGeLJ7molCUkM3C+2+2w1jKbzQ7GWh5vUxPe22PxoxZnPiogPD0+Gjgcx/87AGsEUEwaOynxDrk6kZw363mDMWKkUtclVVmJQUs8rLiGpF0Wh0GqV9GgKk29XOCHwPrqCqu1tH51W0yM6KKQdja1ly2A3J5+mNgesvnkL0sOm0BdH1BKGEO7ds2gNIvVCV/68pd48MpL/Pbf+29470c/5KQuxOndimaZ9w5SS11MzAljCmyIGOco65JYFfL5bDZdEzDdBwkGB5dkFbRmSK2Ezg1sdlvRkkp6wVVZMqsbqkJAS9FwFHDLaDsykCJZmiGDQwrF3sCCccLl7yeyDxNQYP91DzhZaxI7MstG6JFBmAXDTQr49/c+teNnKYtUBR0L8DG12QZHHzxmeUxhCobLcwqlMCoQlThR9p3j8mJN2w749N78fmvt2NokwdChVtRYvR5/r6lMQVXNmC8WLI+XLE6PWdy5y+LoDkoXAgDwrEbkC3OkQPXgR5Mgd/qzcaEn0vctfbfBtVu8G7BFibHFCIDkboLpe+V8h4vkOMtvV7JywBgnLP5xPByynMaCk3cpiZFCSFnW43MNIctXgI+SrBaltGSFpFc7PsO0NoRJ4WBMdrUwmTL77rZe2jTgnV7f9Ov4uuDHIpTWt14XRdJkv4jLuvBBQbYAynsTsOk9zu3l4zPMQKhEikwTNgHFJgl4VPklzx0X0Xvcbkff7tiur9muN3jnKLQh+CByEaWYIcwXC5rFSnSfTYFJYwY1ueZJEUGpODHGC6ggOod5zTPW0O08QzsIaFg2nLz2Bvc/9jptu2Y2azBFNQIaH3aMn+3Wc/ppPw4CA5Uh9Xz9MicskqiVtiAkKSeN4ub6Wlj/QNVUbFvREBNgqKTveqqZaGyhQBnRgrfGYk2WiyAlgnv9f5BCjCSheX6Irq1SwiDvBoeLEJxDqYKqmdP7gRAH1OCg7bBaqu4Z8M46+cFLMmMLK3uh94QE+MYIMUg7pTF21D9VSqGMJkafzmMwkwqxtskYQhpa0u1UY5kiKSPLPScXf/aF5L00kejtR5Xb4mU+BcW4/03NsPKzu82cys7GUpzSIvmUXu+CeA2AmPr2fZ/YQmI845zHeyk2FdbStsIg7l1HVND3O2KM0tKc4jWrDDdXW9555x3Wuy11VYlOsjY8fnLG3YcvpX10uobL57+5vuTm7Iyj5VzaePdYyHh8UCD6DNuOn2wN/TCGxIsyfz/yVSqNrRpstyWGwM3lBVUzoyhqlNLYpDM7Pp/pnsrkviSpJBmHUgiVh5a7Y6bGqwlUVamQR5ZvSHsQBkLaJ9nvFQDKTuKHSVul7FOyVsTgxbwuRtFQRtg2xCB1wlSozebFTHaqvAfK3Jve08SAZC9bo/TeJJOx/KfQpiBGnYySU0xLRMWAUYqgVdJGVhhb0Lc7KS5rQ1HYJKUQ8W4AxOfEdR39dosfesqqwjYNRVVi6xnoIgH4OQ5P0lVKgy2waOq5dCq1262weiO4GOk3a/rrK/xuSzGbMzu5g10uidakwms1AjljjECONSJGR3QMxOAwRnSig3PgPO12I23BXUtFTPye3CUVkRZOk/IKYayh9qxUIcKURFuOAP7h2M254SFg+KLM1R93fND6lkU2Mlgoz2Y/F5bLFVpZiCpBw4fg+b37D7jzn93lq7/7u7z39jsczRbMTu9SleXoS7O7OmdVlfz+H3yVX/ryl/nf/K2/xd/7v/3fcZuWwYvp+3a9JpIkuFJRZ5aADGMMs9mMsiyFpZe0S+fzOW5w1E1NaUtCFfNUx9oSax1Df4UPnnK+RBs9xloh+U+gJl0KtwCJ/H2MAhJlWaT8mqquiTFKwdoYdIxErQnOy36XwFutlQDAydRW69TFmkB213VjTjF9LkqZEYjPhuiZLCRFGun0y8zjvPfF+CzonWOfffi6X6tijKAVZV1T1BXaShHIGINWiqOjo7GN32jp3OpjYLZYioReWtNDYk/3vZAv8v0SdqGskz6RWlADxhQSr5UKU9jkOZFkIUfjXCPPLCpi9NRNifMd3/jq7/GpT34aU5VS0I6ZXX1QZkz3APnsBF6E43b+CM/O3x9HkPqPdCUHqbfkbhFFoB96Li8vCUEM4bwPjHKICRSuq4qBgWEYmM0a6ThHpNA2m414gaSiwWKxwFrLZrOhqkrKQoDS9XrNarViGIZxDAI0TTNqFM/nc4ZhoKpqhmHAOcHqiqLg7OyM2WI+3ietxRRvu90mSVcLSPFiu90CUNc1IbRsNy1Fki7MHYt931OWpRQ30rm01hydnvDgwUM+/clPoSKJgDCRooI0Xy2feeOzNFXJ9dXlWDgpawGh5yHQDwNd23F8fMx6vWE2n7NZr9m1wo4ehh6TTLZ/+J3v8ktf+Qq/8Rf/Iv/mX/0r6sIyuIGnT55grMhUKG0xZcFytWSxXI1roJDKEilmMmcyeWbMwVHjs9pjbIe59vPYwrfB4o9y3MYPPsrx0Q3p0qbfdR2FsXsHbq2Fh5CSJLRsgplpV1cV3jusNVRVSWHs2LYYUvIhrJkEamgxmBpwsOvpLjoGIpiCwQV822GUoZnNgIC0n8nDycBf1jOe6h7mm5TZc8KE1dJy5qO00mlhQp1Wpyzu3uXJxSXf/MYf8ie//7t06zWr1YyiKnFdmzRJJ62mCrJLbZFAYK3AeSWaiUHllxCjLOZhGNDWUhlJ+vq+J4ZAaUuqpubOnTsoayisHcF2jcK1HSaZukmSlczBTHYvjsRkBgSMTLAYI1FFMUZQCh1EazU7Fe8TuSCbb9JsUnG/MFh7qL8krLNIJnwaI+ZzEzxjvPfPSxTzEWOEEPDesZrPee+td1lVJoG/UlwY/MD51Zr1tseFNO5CoCiKsVKaZSz2zzkBgTFMAG5JcLUxVE3NcrFkvlxwdPcOs9P7HD14Nelep2tLIPiHMaB+eo89KMZPfN2R4Dpc39K1O9wwUFb7atcIIU/Yq89bjHRimscJsDQC9d4fvGcsQN0aG+P6EITtZCvRDBwTsCjArtEJNgtiLBOVjGG8QXlHdP0oWZHHoDDnBFT2IRATkGuMHZPj/LopSJcd5POaM5XMmL4uJ26KvVZrTqwPZVby3Hj2Xh58P9lQMkg/hSAOGJ4xir44uXgSE6ijxntwEARO/vb0Gbq2pV2vuTo/Y7dZA5G+7dlN3JL10OHblm6zYb7bslgdUdYz0fUOQZ6XSR0LUcaPAAYy33MwRPDEBOaPLThAGBxeKe6+9lk+/oU/h4rQb9eUdY0pysm4/tlIRG8fB+vl+Mj2RRVjpBul3e3G9iyl1FiYKMpiDDSyCYYkGHEc71orkX5SCdaIpFYyix+CsBbSBexZQJKAuUHYDWiDrisGF1jevce9l19FaUtZNFT1fNQJv3j8hD/4nX9DGVvKQrpCBucwWlFWJRGD80CXTRxzgWSvX55ZjeMtSTmNFDwjkbT/qVsJXmrDVWPBQt4o50hgL7nosm9nj6kAmdcdpYTppLQe2RX5WeV5OGVL5d/la5kmyvuEPsvlSOHUucQK95627djtWmEwp7XH1BU36zVlktuw1uIGR+sdxIh3ArpZa3j69Iyb6y0uzymlWJ6eiBb1YjECw/leT6eS653ESjGO8iA/LoI8WCtvrWd/1uNF2X9jeJYJMt0fDoBw+QnGFFT1jFc++3lsPWN3dcXN1RVH1qILaeVWSVLooHB0EFulYhtRTOKCsJUiPsV2BlTW3rb7DhYSW1iuinGxmRYM9tgtTIovgu1KLDrKMcUAOhnqRXFm1wYp8nqPyvuU2rdfP69AOX6f1qa9BJo+mG/5Z/k+aGOSLEY2T3tOofoACFHEoU9kh2wUFHFdJx0z3uNdJ9egAuXxkqKsMUWFsQUh//04netJZzAV2BSaZnGE1gajDbvdmvXVGeuLc3L8M29KZouG+bzB1JWsoc0MkPWHBAqrXLCKEWXy2hMITgEeY0vKqsZVHe1utx9/MaKtxZYl3W5NYUTCT+sigXEFUXfpfilUPZcuCyXAdMwya4ejPT0nRjLF844XZe7Cs/MV9kMnjLkljDG22gPDMYqmZp1lD8dTTNcDzXJ1DBH+0l/96zx48JA//tofUloNPqCMJgSH0YYQ4Je//CX+2T/6h/zlv/ZX+bVf/zXef+tdohuSdEBP1/d0Cdxpk/fNdrtjGHrOz8/RWpjCMQROTk7o+575fI5SatQPXS6X9H0vMl7B0w89s/l8lCvI3aCii6tGI+npPZp6vMg9i+PPp/d2SG3r058ppVCFrCtZJ1gBbhhAJy8ehXSfhkMyBWofj+dCbs5bx7g4sXe1ES31pm4wNht5TuKBg2cegayTrsf1Ws4ter5FUdIZkW7J3cFVVSEEOvmbJoFkSimWR0fcXInGqm936QboVMATeYC8jlqrkc5qjbUSoxSJlVzXNREpbIlOvJhNV2U5xoZGpa6HfsfQd7z55o+ozhf8/C/8PPWsIXcQ5hjoFjZMlht6kebu844PK1Y9b7+5DTL/WT9/NlL3XuRLQ5T9/ub6Gkg5EUKUjCGwvlnT7sQATqFGjd4Myk47T0E8aO7fv0/XtWP8n3WK8+fJIO58Pufy8pLZbDYCtDfrNXUjsih933Jzc8NiscDHgLWWrutYLBaj+Zy1NsmTyb2p6zpJSuwoioqyLLle37DZiBHrarXi6dOnVHVNURTsdjtOTk7IRcVf+OIXObl7JxWFsnRixpKyfrh0IL368Y9xcfaE7/zxnwird1CU2WRvs6Gua+mGM4a2bTH2iLpv6LqO3W6XGM6ei4sr+ranKAy/+Zt/gbbd0sznnD15wh//0TeoaumEXR2fcHJySlXPkuRc8hxRBckJ4pkj7wMgnRCLxWLy8zjO7/xspt8frlu3xtGtdfV5v7v9s49CbPzI4HBOmGRQmkmNXzTqXEiuwchGqNXeUEzMKUSzahTgT+8fGaQJ/IkhCCvY97jgCUaB1ygMuqoYtOXo5C59tyN0GwpjiDFv4ntgMIaY/GFkoMWUfEXvASfJnZOrEDaVYwieorRYH7h65y181yNwbGReVwQC0Qc0KgGgmrKoRFMsJXllmZgLEpdjrE2Bl0oBekyVTzEJMlYc2MuqlpuSNlWfqoTOeXadTG5jBXjVhVQlfchVUEPUBmNFyLyYLII6ucDKprU37yDuNzc9SXBjSninG4JJ+or5taQAUKVkMrOitBH2sg8DykigHLxHa3F3F+dtRe+F4VBapO1YZfZnoDSGq7ffZGkNxkhF1qVJ1rWezbalHxJbO0YKW1BXNcXYDp0nDnst0hhxifmRRf9tUVA3DXXTMF/OmB+tsM2K1Z1XQJVpq/TkxSlOApEXig3xQUD85HhmY0yAZrK7SUWfpMEl0Ot43tubZwhZeB6p3Uzw3hg90cdUEczpRJQgj2nFN6b5I/PKFAWFUkmfVpNZKhnAJWYGUWayG7yR9cTkYE6DcmKeGLwjJid1lBLAZJJgStoTUk671w2aFjeyvrVsuGmu5Q+dksOR1QhEJ+aUue0tf86xOhjjyLDK2cTtAFWl8+UK5Pi7TPfQBlXNwXWo1IEhPlmp/WxM+FOirXMrXXpGIzCUkv7oGNod1+dnbNbXlHVDWZQU1cCQZHKM1qA8VmnCMLC5uMS1A6uTU8p5gNITE/M8Bz8+eHyEmHXPYxTZnWR8Nexu6Hcb2q2wlHVRcnz/VT72c19GFyU3T96V7pGTu+iyynfhmXH+vOMQTn8Bj/3Gu5cBUPuko24aFNJOuL5Zp+RKEpjZbJb0xkwyTJH5tq/uS/dHVdf0XYst9qalIbgx4QKd9Lxl3LnBY61l6B3b9oaAYnOz4+mjc2xRMV+tJGFTsFou2V5fM+x2+OBxRQayHdZqvAdTlMIWTmxa5wZyW4Et7Jh0aa3BxzQGwzgfxd14r/U7Akjo1Lmzr+6HgwLyBKyLe3brdN1Xua0/PYxsGjPugYkZMNUrv82GnRad8jXmVrwQBHjoezGd6TphDbdtJ22JIeL6nuXqiE+/8Tl+8J3v0F6vCYOn7z1d3+FUEPZ3arc9e3rG+4+e0PeedbejnDXcf+khi8WSop7x0ksvjfIAYV9DTdcOl1fXtLuOV1/5GEcnd1DGEsiM6w9OmD5sn/zTJlovUpKazUynxYF8PLMHk8HZAlMvqKLn4es/z/b8CY++8w0Kq5lrjWqMxEyZfTvCnmmKJIBQ/osQQ+J7RWJin4EXI1BbJSmfdF9JEkDIPr8/9t15ubsnJ2xTCSiiSMftn48hxuTCHRJ7NvhxzQrOEdFoa5PJ1p65PGUxozOrWXDqzA5OkcJISkGLKbVSZjRPzVItea5mY9I8B53zgHQA6qHDaoUzhcQN+R4kNi7BJ7kkk9pNG4y1aG3B2GQm6MeYASUt61prNCIjgBHiRr1YUlYVzW7GbrPG9cP4HOumoV4cUTZz0UYuKoIPe4k3vQe1lVL7ZDp4gk/FagWKAlPWmGKL1oZh6OnaHd4NKFOiTIHrWtGl1R0UFTpkczCFMgXaVkQzYzTyjCTd9hQnpiEQVY7bJizvnyD2/Gk/nlfIka+MX7MxmdpvDCiE8LNrW/Zt+epgvczzgBRz3n14n6O3j3G7Fh8Hhq4jEAk6yQdpzSdeeYU3v/Md+qGnKBS6qDBWY0tLE5sRuMj7zDB4djsBejabDeubm7Gl/Obmhnv37tH3PbPZbARqc2v4+fk5Smlms5qyLCbM1CyPEsDvTZamIMRtIDj/7Hbxx09ITAfEiskczaSvTAJTSMyPYpRxEmxYPXMd478F+Ry9eIpS1j6l1GhAtX+mt6WSGOOkELKMlsTJmRVZliVGtxS2oKmbgy5WHwJN09AlwDdG8SwZ2i1GK2LuzEKkpZz3KGOxuSFOCZkMGJnARVGitLBII5G6bigLi60KjDVopFOiKisCcHV9zdX6Bms05WzOr//Gf0a9WGGqCq0sihwDpZ1ovBe5YKxemMD5J4kR/qeIIYL3ODcQhoGiLLh3/x6VLVmv13jn6IaB3XpHU5aApyyNGMV1HV3Xp27Zcvx8WRrMGMO9e/f40Y9+xDvvvMPJyTHzWUPbttR1zenpKQBtK7IGWTam7/tRw1rYwtVYpD06OhoxGYKn6zoUiuvr65F1fP/hQ86ePOHi4gqQsVlVlcwJbek7Mbibz+dsNpsRlLapa261WlGmIobghSblnYFsWp2DbQVkaVPnPEYrPvvG5/jet7+Di4GZMbjETA5JmkYbQ2kMyhohzZQFVdNwtDoZwdjNRjpqHj95TNtu8d7x0oOHnN67x6/95l9kt9nw5MkTZoslVdlgTJEIrEkuUv34sTTNBfIa6JzbG3mHQ9PL2+P3uYXyj3DcLnL8uONPwRyW+nuRWEkjJW2EiCU406YQYwUfxp+FwWN0mYKl3E0mGokhBmmFTS1nMTF0vEqmdAE8jqHbQguz+QLXD6xWx7TXkiwRfWob2wMv2poR6Mwbhw8RjCZqw9D30jpWKVw/EKKnUoU4RSsojKIzUNgSEx1xcBitKUoLsZTEy/uxwmeMYdY0dIOj63q8Cxib2BDpLgXFQSu7TwFxmFQYshyD845d2+IjWG2wxoALxCSXgGLczEMIwuguSwpj5ImE5BaNVIVz5TM/M601NifOY8Ayae+fgL6ivbi/xswMiEkfyRhxcM+nyUxkeV0gRIWJGq1lM6+PT3DtjhA6NIy6rMoYtPeUhU3acnnkBYKPbLcdfTuM15oXo6quxnbXrNPovbQXR5KEBiLqX6WFURnRaZovFiyPlsxO73P84DVMMc9ZVnpOjF8/iNXyU33Iqnr4o1ug47PvkeqzMsLAz8yC/TDZUyGmQZQP/hA0np47CsAevCOkZNMWRQJ4o5hZFpNzRnlTTnwUkgQdALiZxRHDPmlNX3WuzrkBrxQxaLQRY5hIRIcgzDqtD1j2cr6YTDpcagvdA0hZQD7mDWx6TxWpHXy/IOfgas9wuD2O4sG9MontdMCIkBcfBM/TvzsWLGIkDB06gep7YCIn8YfvnQJicXK+/NWndtS+71gdnVA2M2whOq3DkFrdiZA15wvH0LVsdxuiisyiY75cgY24vMocBPyS4quoiH1Hl6Qr+gQKRyKz1THNyUPuffqL6KJmd3NBPZujg6MoZihVPDt+fwaP5xWl8jNXSbbHWjuaNG7Wa/q+GzVr27ZltVqNa2YIAVvsnZPzz5TS9L2YVxRlJeaDIRVWgxKGr8nv86OcxGazw/vIMIh2qAQ+W2KE8/feIiDscBXh6uKSrm2ZL6RFS2tFURZ4b3EuUCNgcVmWeO9wQ8+ukxa1orAMbY8xFucdRVGO96CwUnwuE1MaFCOJMUo7X4y5vTSBGQkgHucqe8D4MEhLhUeZVCITldi0zzyTyTEFp28zqp59lntwOEYYBscwOJzLMgECZrVtz+d//uO88+ZbxBB56ZVXePLuIy7OzwWsSvITWimuLq/YrNdsdi13Hz7kb/4X/0sWyyXf/c53+OH3v8/L9x9QltUe/JsAHHl8XV9dM5st+NTrn6Gaz0UOJweyY7nleWvLROPxQ4LTH8fO+aB79tN+3L7iDyss5/VQDk2IiqKeUTYNu+2a7p0trxRiiBbjoV/HeI5bfwuQ/XN8rSLrv/vgRnB4jLPiBCFBTfb7fRFK2sgmny7tzbmwqHLr7OQ1IQZUknYKbkha1aBMxBZWHNi1Qam9rubBPWM/DzPIlgGjEYTSCcDWejQ5JYq2eVRK2MopPlExJ+qHbe5D36UE1Mg8Gj+/FIBillEydi/zkOLx8AEJWIxx3M+BsUAcnEqyZoqibghuhPCF1VuJeZ4yCXwe7+ZeQmq8R+R0LDGHYz7X/hpCFG1UkbFzKFviu54w9ARryPiZUhpT1oSikPhP5W7EkJ61PvibuSqhbl/Mz9Bx+FzTCNRSMDUqy+ulX6f5oBSyV/X9h6z5kGWiFJHFfI7K2qTRYwpDVRR0bUtZFVhrxMiq7SiLgmHo8XEijZZBWKUoypIIlIViuVhyenrCbrvj+uaam5ubxPgLXF9fCyNwteLi4oIYIm3bstmsqaua09MTytJSFHbU+n9e8TMzGafx4weRUKb7YD5PzjWnn+M2IH+gTzxh2UlQfciyG00wDx5bYhJnveK855HH/rR4t5fgyUWrQxAn4tN6V5YlTVOz3Qi4NEpfpEsLwY86sEMvwNvm6nr8G3HMD7J5OxJTp+s3xo5MYaJ0Z5RVjTGKsiyoZzV1VUtxv7DiAVKVFLZgu95wfXlBtWj4xNFnUCh+4Vfu8MprH8eUFQEzliyed/+mecyLcjzL+IVxz/jgd03ev//pf6zPrZRCaYNFYtXZrOHo6IibxRVKKb7xja9jlKaqK7pWGLoqBm6ur7FaQGJjC9br9UFsKh0BmrfffnsEfrdbKQCuViuWyyW73Y6+71kuhbma5SeOjo7w3jOfz7m+vmYY3LhPdF1PUYjueFGVPHz4kCdPnqBiM7LvX371VXbbLefnl6PJXZb33G3bsTMhX28eT8YYZgmHaduW5XLJ8ckx3/r2t/nkG28QEz417l+ZzEgUebmE6WlrWB2tePL++ywaYSNn7fEQI23fjSZ7SmuKBKy73uGdZ+gdd+7cpa5rfAhsd1vK0vLk8eOxGHr33j0evPQKMUScCxTl/jOELNc1ecbPEgDUwTzKPx87iSfve946d/u8HwYa7//ms2PvoxwfCRyWICAmwEEdGNLlC1IA2khggYDAg/f0wzC6hYcQGfqekPVHhoGbqysMKrVPusTonGHrGoOI5vvgaOqCumzQpqB3HTfnPVVhiSYCmhj8wc1V2kr1XIt8BBFUtkYP4hIcIgyd6PSpKACHS8Bi0BpX1PzmX/nrvPn9b/POt79JVRpicKioknN4pK4ksdq1LV3fixmO1kQNLkQGLwxGnxzK88bqBk+MWZdM40IGuDUuJcZFUeCCx6Sq3pT14L1jbOxSiiZpuCilhOGccjalBCAT8ue+Git6yX7S1iN6ySHsk5S93qpP5I29hsq4oaBGxgpKPjOBZAASUSoktpZUk1SEzdlTNIqq1KMRVh5nmVmpkDZEqRJD2/WsN1uBuBM2WRSiSymMM2FXV/UMq6QyI46tDdvNlnlVCWgQRduymtXMFwvq2ZxqdczqwcdRZRb0VzxbPT6csC8aA2J6/DhGlxhKGYmA1b6ty5oyOSK7A1mFA2bUCCzI/2VJiRD9PoGIcdQvq+YLfNJSGt/HnnGr2AMRGcDYX6u8fspD1nFyTQmQUdLLKhsHDh19YrgLkznrf7q0wYXU6WC0GdteM6g7TSbzgp4Xc+/dqKWejbtGRl6UBCCvlfuKvFyntcJ8H0GXyefM1UWV2s6mEjDT5yavFdZBiOyTW6XG5PH2eU1hklkm4/PMLxmGgXa3oaoqZkthGRgtG63tLaVPrbYIoyjGiGkW3Fyec7PZ0nknelnzBbYsUtKkRQ4nScgQAsF5us2NMIW9R5c1i6M7NLM5plkwu/sy9eqUbnPF5um7LE/uUjYLbNEksO8jzsUXJ849GGvT5zcdR1ppPKJh33Udm5sbtrsd282WYRhSt4Rmt9uN1erMnG3qZkx2csCSx/TQt6POlxvyHq4YekfEp/ZT6QbZ7XYSFmhxFt51O4iBYejFmFZrhiQJ9d0/+RZ3795lvd6JeaoSffAymd4UxjCfz9ilTpfMIMYHfHR4YDNspG027tBGAGbpVFJUVUFpi8lnFUZ0dlpfrFZ0qc1a7mUOwBjneW4fzUnoyEqOkO2YvPdJ5zhO7vOkgJX22HzcTohhryu2B6kZzS9camXfbrZ0XZ80luV5XF1e8eTxY7abDe+/9a7slcaC1hiEVXJ1eUnfdjjn6b3jy3/uKxR1xX/9X/8/IEQe3rtHcDJHC1NxCPLKnMrdS6++8jHW6w3lYkl2ck/hOjHsgbrbCX7+3M87bgfSL1IC+pMcY9l9v/ExBfc+6L6EKBJHwe/YXJ2xXC1ZHp1Sz5dJMo1DAD8Bcvs4KhWNYA+Y5vEYA6Q4UlrFzf58k4uNB88wxXu5a2z6nNL7MmNR2wIVDse8wRCjIXi3H+tKZZIyplAo50A50SBn3xUUo2xkIwg0Jkl6/OzZNyRfa1S5Qydp8HolQFrf44ZhBHKVEu+CfF6Zl3FMJsUHI0jXhNIEnTonbYGxBVHb1GSTCyTPzqCDeSA3RJ6JLeTeW4uNqXMGRnk+nQDomEgW4zEByfP6n/eGmGSzckyRGYrZ3EjAe4Wt59TLEzYXj1FhQKn5PrZSiqAtu3ag0qBjEJPsdM9RIj0xDl01AYk/5GjbNr3vxYibb69FB+tTaoeT/4XR2yT9crwVduJQb8ytNXFCCnDDwPvvvMOTd94SqUEFVVVirB6lnYwxeO3RiP40CtlTB5EycOk5hxAkZ/apSy5GhHwRaZqKorzD8fExfd+PDGPvPe+9844UOwfp/Ds5PqGpa5SRdvGiEID4didNZi4+jyl8ew+Y/vz2a5wT6aIpeWpqeCX3TMb8gVQkezNEFZ+VLdybTsu6qbXMJ62NsODTObMUzNQkXa5D/orS+zhf1p2YfHtkTSiMYVZXbLY7NtfXhPmMbuiok5mV1pY7d+6MBvVWaVz6rN4HClNgbSZgaXQh+dWoXzphKFdVTV03aK1wbsAahVKBwhbYsuLowT2OT+9wdXGBNpb56kjMMFU6n7F0ux2NtiI5oePYOTxlL07JLS9yxSdOFqgPKkTnjrL/VDGIMOQF04gkmRQF89WSz37+8ywWC/7o69/gvXfeZlbVXF9dUVciCYEJ7NoWYwqOjo5wzrHZbLBWvF76vmexWIyFntPTU0hFo7YViYnlcom1elwnTk5Oko9FTDrFFXVT0w8Dx8fH3Nxcj/O76zree+895rM565ubke37vW99i7OzM0B0i7P+cYyR1WpF152P8a5zboyPY4ys12uOj4+JCYzu+55PfuITIjWTdNFNIn4c7KpKgZLuU200P//FL/Jv/vk/5/LqiuViwdHR8b47oCgk4lL74odShrISP7PYxHHfXyyPqGdznBv41KdW7LYb6vmc9fUNxyen+KDAObQtaNsd2u69tJ4/bvJ4m+YUe9+rjAPmXOtwvh0Wxz7seB5o/LzXfJR99yOBw0pxEJjlf+egKC8eMSqKqsYFGFyg6z0zv2+zdkOPc4NoRg49u82G3VbMU9pdSz8MqRI2p5ovOV012FKh9IyiqlHWogDjgzB/lGboO3FcNZPFXhuUKaTd1IjDboiK4DzBBaLrUsU1814miFYK3BWRGs/v/OPfIriWwohOqk4DLabW7r7vpRKvpB1Xh8jQD7SuxwUxfghhvzkBFEWJ6924qWtjadsOm4x9MuN4GAYBmRIAoLURsDf1fh5WZDjYpL1PLAlFcoUWPV5iIEflk3r/GFvr5BRvzF6bMia+dwYkMmibgyKttFRWfKRu5iyPjrk6e4I2Cp0nxoRBVFc2zZ2Ac2myKEX0EtjkIFYpAZ5DCGx3O/rBjXUJ0W/KbGTPbrulqGpMGZg1M9HWQpLbat6IwVECIozRzJYzqtmMZrHi5NXXoGjQCoxKbNWUce0Dodtz4gVKZKfg+63E/dmXpg+qRaoEpQg+4IYerEX1YKNH2wqUyI/kIseefro/n9KK6DzZJEfFiPIOEpgfhwFtRL90qg04MpLS+fb1/QTSjmsSBz/PbxeJGg/BoozD+2FsbdeqRmnRtvWDO2g3FZM8wIdJcCqMQ9jrvOaFXFiUaQyntdC7IG2kUdiKkjzb1PqqYFK80TkhC1GApuc8oz27If1tQCHGWPmZjQA2kTD06TbsNx0mrx2fNTD0/TOayspacA4VAsE7qlSsK1O7XCQSCo0bBmH4eoWPkbJOTNMYuDo/o9u0DJ1jt9mKdIGxmKIUbdvg6dsdzvUYFK5rwVhO7r1MtTqmqBuKqkbbkmqxSmtuoG5qmadljUpacc+LWz8MfHlR4tyQElA9XX/iPlCKxDQP0tiPMRU2cptiHAOzYejReklZCmha19W45lttRsMmrRUxBHovztxaF3gXkiGKSjIHPa53I3jpfWBwg3z1gfVmjVLCmOm6FoKw9YTlC4/Pzrn38CVs0idVRmGNodu1aKW4Hnq27XaUbrE2J8RZI9DgXTKJUxK05XVd5JsilDEZucbRvC23d1+dnY+vt2XBtNgSkzlVTEYY2T09sJ8fPoQRkCYxinK737R49Dwmwe3/FEkCK0S88/S9tBf6GMageT5boNSOYXBopRhCx5Mnj/CDSx0dAgrZlKivjlZsNzv6duBmvUtF1wKlLd/65rdQAZq6kSJ81qOWATWu3THHDTGy26zxKrJczejbDWUDylRoYwiecQ7moPejHrfn6e0E7naB5IUAmJSAMsA+Q4j55/LMIcHF+20OiKgYxJSwb9leXWCrmnLWCCssl+WVwqcYRdiipNhOxgIJ6Axa4katCoJO3XgxUNYzKa6hiKOBlpqcf5J0xFQskQApyYfpSeIm65QtKkxRiIREZvalvTz6gFaWoFz6wGnfcwNaxdQRZ0doLcSQiB2KaZE6JSPjuMh7o8SMIj+xV9CMqBAY2g2XTx7juk4MnKxN55EYQSepCLRGF6UUro2Volt0KRxRos1uK3QhJqs6ERviZG2IMYr28Hit6TDC0MMPORAjpkKp/NqOrxeQVtiKWuXPko7J0I+5GBM8yotpa5TWA2LwuHZL327wQ4dzPfPTOyxO7jA7fSCf01qsXqKKElPOGGUBY6S0ithtcK7DD30y3laYoqKoZthCZClQVuIMudoPRIoLW4AWEtALcaT5kDujxknKXsrFTMHC/FXlGRF4560f8sff+Bof/+SnaWZLckdiSOBi8J6vf/UPeOt736OxRSpkZJNW2b+yBnCOTaWTNsWeqcAQQhgJDop98dE5R3SDsOSGIcWqatQWlu44fzCPCKnjV4E2oI2iKPQIUD8rs7Sfh1Mw94NAjn2+Kj/LXUiQi61m386uGEEdOdEh8Dz+rdTRo/PaAOOejt6vBdPEJP9rem2JQzZ2UuQcF1Qyf5d7k0kw+VqsMdRNw2azI/otu+2OECNFJVJqiRstjG5jaDNpzjtQST84QlmWku9bK7gFMgaqqkpAYIExVjRhuz75OBWE6Bn6Djd4TNfTD47z955ITqNkXe21hujls2mFurpguVhx98HL6FJJoQvS/rSHevJUeLHS3Z8sRviguOMD8+N4OIae/f3Bl4NDihJIrJbHcCpSdEPH1772NY6WK1566SUev/eIuiyoypLeWgiRxWxO7/woCZPPWVUVVVXx5MkTjDHj75taiFxd13F0dMQwDHiPaJN33WhMJ6z3ZjQ9zsWs+XzO0dGKd999V0DjXvaAqqrY7XZorXny5Mmo3Rtj5M6dO7z77rtJRmKLT+vS5eXlGBuKPvDAYrkcJSp8knf4+/+vv8df+ev/C77ya78mnTohJLkiwZxIBnUxPQptLA9feol7Dx7w5N13qSqRGBx6wc6Mc0SbTLUzOBtlHoYgXiwxSIxgtcbGEq2g3W05Or0r/l9Fxa7rMaagLGs0ScJPgzUWgdniCADnERDjdF84HAtTAk7OoTJw/uyQi8/8+3nr6nQPun2ej4pVfTTmcIgTMPj29EgbYtINLYoSMYTS4qyZwOGu7Qk+jhpDXdvR7rZ0fc96vaHv3Ugz37YDS11wciJOvXU9G3X9gvdELS6jwYeRucu4oVmMtoS0kUVV0HvNputYnZ5QVxXvv/0m3W6A4IVK75O+b6qkCNilUFFRKkXUCqOy7qgAO1bL+au6pOsdPgb6oRud1J13JMFlFGIOo5W0xvd9C1G0iCTm0Gx3whSy1oygqrFGTO58gOggiiFcURZiSJcSXmMM1uwHVw7OB+8pm5q6nNHvdsQgbfKotIBOWnlQatwACluk8wRhHBuN0SaZ8SRwKrXSSSItSa41mr7bcf64pSiy4YkZhfjHwRokoXGJSZKPEBGmdGKAESM+wq7r2Wx2OOcJIelGpljaGIUferQpUMWcYCp6FyjrgqYoKMoCm4BioxhBqmgM5fyIk4evoc1sD/ofjO1DRgDsg5IXChzmo+NhRpsRfAkh4l2PGkxKxAI2poRmei9iHPdPbSzRFmRjnOiSDqICp+T82BI1bZmMGcjUk6AOxgeTixJqX3RIVzuOX5VGqARwkigFb/bsoyjOvAHIOqtJOm3U8jXW4p0fg2xZEzzO+VFm4vYCnUFbJq7t0nWSAJM057yPOBfHoo/Numd237IrOcchC0L+7VG6pJot6Xfr8VmNgXj6fHv31Mk54v6106/jvWe/sQQfRlkOpYQBU5YldTNLAaSCqoKuxzhpF/ZO2EXlbDZq0+3WG9rdjqFzbDYtppD1syoKbAyQdDN1VdEcn1Ivj6gXx9SLFUUlXSLKFkSl6doNIfSUsyW2aIRVBft5+1EAoxdk6iq9l+UZazZSbgAmczoHIkr088uiSMninoWTNbOd86zXa4ahZz6fjSCO7AWiOSp6wvI3+65PTsqR7WbHMIgObhj8yDzabDZ0XcfN+gaVEqXrq6txPqkIR6sV/SDiIq++9glO798Xpn0ap1qBKy1911MXVhiSSrS92u0uzTtYX6/xGcyEUX/YFgVVKe2UKhWhZA6L7EXXdRChLqWbxBaWEMXU1GSgNwHkIYh2ZuY/KkCL0vrIKhzHW7q3OaGdsoti3OuJTYHjKdtPYickge96un7Apx11cAIG73a78RlEoKpnvPfoEa1zPLj/AG01rh+4WW+4urxi2+7YrNdJ2qogKsVsMefo+IhXHr7EN7/2NQpr6Iee03t3KapyLDBkU548tjY3a959+21Ws5q7d4+JYZBOnTjVcz1sG/wgxtgHzdEP2ks/tMDz034857rzXZV7cmiUDIzAKAqM0nTbLa5tqcqJl8YUaCEQowfnwDn80NO1W/rdhr7dYYwSWZ7VHWJlhNVrCoy1KGNlviv5u2oMfvKem5CZvCFl7X4VAdHs9C7p66qQMLMUJ1AwGrqRDF9xoIKcNgYBW/qINkDQ+CCeEHksmOxrMt3bYLLo5dsc9z+MChU9KmqU9/ihZ3N9yWZ9DTFS1uLrMQxiDuWGAVtCUSgG70FrCpXkY6KRWag1tijxOq2lOmkha0lUD6/j2bE8jn3nUoyib8FUTM57+zyCNGbweQrGxRjAD0TvcK4XyY68LgY3SjRtr6/ZXd9gbMXy+JTZ6QPKxYloKMeIqWbYco4ypYxP7/BdSxi29Ltrhu2aoesYfUm0paxnlHVD0awoZiuUrQ6u83mHsfvn+SIcUlqRsZUznNwJ8Lw1bjqXk6ARZWm5PH/K5cU5VbNAqcj66prvfedbNJXl3/zLf8m/+Gf/lN/4tV/js5/8VAr8zAg+5HEtsoBpLhhFqaAsKpFinBTMdOrsjFHmnPWOodcpDhCtTm1klckMNtivR0qJt4jgMAprFUWpRVLC7iUl8lickpNyHpr3vOcSHKb73uS+3WarOifs5Zjatvd7px730+m+KmuXxEnk/ECnGNwHlDHEEEWzexoTKwGRx3VudKOV69a5oAMHHbVyrZP9TEXKZD64uRFDLqXzNRua2UzkvhCfiPlshi1F5zXfL5PkOvP9sLY8uLcZfM8Skt452naXCgIicTIMYkrL1RXzxQKZzuIFFWMUXWRjUFZT15adUlxdnHN6/z4qKikeptVp+qxekCn7zPFhYO/zCvcffCLG/Vw9R54PSB2jHBR7mbxyLCoERKYNkWwcEqlus91xdXFJ9APD0DFvhKFqrCb6wNXlBdVsjknDtS4r1us1hMhmu8VqYfguZnMZB/M5q+UxSkUZj2kOnZ6eAHHsHNBac3V1IaBv23NyekLbbrHWcn5+znw+p+1l/Xfe0+1E3q1t23FMzeclw+A4Ozs7AD1Pjo95//H7NFWNVpp+ECKSDdIZtVgsxCC7KLi6WdPM5/y73/kdLq+u+Et/5S+DEXmnSBzxxBhkbXJRijLBO2aLJT7C+dkFd+8Y1CLJV4aIUeJ1FnxaHxQEZUBF+sEnUFdwjqgkt6qaRQYkIIIpZd/2QTAAyRMMYACXGNO5Cz/jaBIXCyN9v1beHm/Tgtv0d7fXz9ux4vOO6ZgeZS8mv/tJj4/IHN4DCgdaP7deEyIUVSO6J7YYF/rCWoZBXBKVFrH0oe8Zklug0oZ79+9JxWG74/HZBS8tF5RVyWw5R+tsaiGTUzaDvKlIe5oAlgZtEkNNGXYuEIxhde8eLx0tcUPP0/ceEbzHFiXt0LPbDexubmjbHSpKi1DXOzY70VCsq5rSKqrKoE1IpnBm1Dfu+x6ix/WOwTlCgC45iystA2pMzJPT+OAjfhjoh4FApHfXsoiDMHEGAU5iDLjgpQ0QaQGezRoKtb/nIv6tR5MwpRXlbMny/j3q+ZxHjx4xtB19DJQqjmxfpUimeiptLnsQNBvNaa0SUJ2/f7ZqcTiAhbWirSa7YJsUbORN77njJ+5lBGJkDATkmWu2247dtk0s44S5K/AxtbR6JbrGZc2nP/cLnD16D+86HAYVNHGQwoOxBQGFKQtOH77C4vgemFoCkBgznMY+SVGI+/AhgCYg37518mftUJDMEi22KOm1wfU9IYJ3jsJV+KQ9mqufJDO1mPRu5SlrtBUd7FCaJCUQsI1IDJRVKfSEdGjU3sTtOW1qGYQYk0WVGTp6z3ZQKcWOERBwWBlNdAlsTmuS97Lh6UnRIgdq3ovGtQTjZgS9pwFTHs/e+3EeiS7RMDL15TUiTeH6nr4fEtMyG9oZrNFiqtjURAVVWWELk9oQs1Nr7j4Q4LbbtQfhyX7m7hnNMYF7IeskjvhwZgZkXeLcuqsPz5g2TZ3A6xijtK1HhS0L2bgLYYS7oSM6R4xgm5ropUWwaWa4Tjor2r6n326whRXjDC1ai7asqJqGar5Alw2mmlPOVhRFRYji9Ky1wQCdc9TzY2JIyUHa5PPYe97xY9kAP8WHG3aEUCMGS3qMV/I6pZSSBEaLJnhhhSHSJaZRYe1Y8Mx7d4zCRpnNmrHFMhfuYogEhMWag4sQIl0r8hFd72h3rYDHMdIPPRcXF1ycX7DerCmKkqquUEqNGsZ1XVNVFcYa5rbg+uaGN770RXbrG8pQUtcV2+2WsrAoldjSIUgbMiVKibyJimnsdx0xuSfvdjv84EaASBvNfD5jYwxlaYlRitXCVhNaUFdYQGMrT1mV+BAw1idd/QmTKXUOZMDTZ4PWzJNT+/VgZDpxqIWY92dg3Pvy6/Nolb1E3u9DwDvP4uSItusxRsxXc4KqjEUbgwuBj3/6dY5OT5jP5jx+9D592/K9736Xy+2aXSuxlVaK2WrJ8mjFpz/3We6+/ACc4+hkxWI2Z7lc8MnXPyX+DCMYmMeYrJXdrqWpKhbzOSFEyqoBldaE9PIQwgiQP69o9qc5XsT5enioCQio9pnjcz7WiMumQyvRwY/eYfT+tzF1uAirO+Bdh+9a+t2ObnNNu9vh+x4SaOyI+HaHLRvKeo4xpexnam8gtb+wwyOmgE/2WoMiS0oIOBxDxFaVtIGrgB96UGKWFJNfiBZhVhkX2hJ1GNu2h96jbUlwg5jiRT92PChIZlGyrI/yHOQ5N73QtOclrDbESHSO4Dyu7wjB08wWGCOSNTFGri8viMlg0/dDMotVqasn7e+FEhNVY1BkE8AoRe0krURk1HyNKX6UeGTCVUzjWKfvg0pjgT1D84BxpuT98hkzMLPPv+TvBrwbhBWaujEzUN23LW63ZbdZs13f4J2nmM05vfeQ+uiY+d2XqRZH4DuKosCUM5RpRAvarQndjn57w9Bu2F6f022u6fshaVAWmKKirCqKuqGcH7M4fUC9PMEUzR7AT8/tGQD8BZrTgUAIPZuba957711ChJdfeZXlcvWhRSuBBIQYcHW1xtiK+w8egpZuFGOgv7ni7W/+iPe++x1+6QtfoC7KsRvFGDN6xCijR7PhvMcZbVgu5milWF/fUFWlkIFiZBgSIJq9YLTFaNGu71UyQCKZQyImjNlUTSShIkaL8bm1socaq8d9UKeCSIx7pjActkXDYY54G+Q4uFe3wGPZdZTIDyK66CCyC9NzTsHhPHly0WbU8UX22Xq5oN+1cj/Dnt28X47TnFZ5Dsu6nY3N85HHs9LP/yxlWVDXJc2sZrfd0rYtMyvyHsH71GXjwRp0YSm1oqyqPWvQJiM5nfIotzcKy4zO3AXmnEsmejmmC/gEqPf9QIiBoqrYXK+J2XAXiUHKJCUUlnOULthtbmi3M1kT0ORZe/gs08b14kxf4MevN7fH6Qcf8eBfz3tlVM/+ctrxkfcwhU7doglLUCnuS0z5siw5WS7o210qvsaBNmUaAAEAAElEQVQxju4H6ToJPiSNYOmGXS2XfO/xY05PT+m6DmMM19c3VHXN0dEK5waJwVNs23Udy+VSNLCHnqapRVqsLA46A0SSUcaMc6LTO7JzUyeCrFVCYLDWJsNKRV1VnJ+fE7yM4+12c1CUCiEwJOm04zt3MIWlHwasMXz9D/8Q1w+8/rnP8unPfkbIWmkOOfzYbds7R2E0n3z9ddyupbEF280a54ZRVgJtR7ILkwKrYIaTovxEKlepTExTIoEY42hAJ/dF7qP3Qi6NMU7Ij3ESn6gR+7pdMLttYJ2PD8JXP+ox5hkxfuh+9bzjoxvSCTrygb+Wtd1QzxZUdUNdV8xmDTc3a2EyWSuAn0fM1rYtN+trmtmcxeqI1WqO0Yabbce9e/c5PV6xPDpKQZ+0r0trG89UqUNC5jGiB+ZCZNv2HD98ldXJHfCO999+m8snj1FJd6ztWs6enHFzdc32+oYYPNaINETbDwLgBOg6h3cRqCgKg1FSDRhcl6j6wn7VSmN0wbbr2Q2RsytxoCQl49n0BqWp6gY/OAYn4PBuI5Uf5xxojY+BpqmBiLUFWmnqqqIqLFUljpWZOTm2y6ZIOobAo3fe4jtv/gBrRWf34YMH2FlFHHbj6zPraxQJV2ZcyvZi+skJNmk/jkvcZNM/WFhDknsggzdZxF9+nwHVkR2SNC6zJloONKS8Ju1Xw+DZbjr63ok0SGadJIA2Ii0xISqO79/n7isPefzoHapZzfJIDJiMNoCmbBpUYVkcH1HNjwmmIhCwGAmtp/tfCs59AqpJLJIYAj5IW9CLcSQg9dbicHvROAzixPiwnC2pZzf0uw3D+hrtPDEibSS7jFJJsgiZqSfPUgKUmsXpQ2wjzH+MQZmIMVLBRomrtvx9vR9bZOxXqnnZWFFAYD2CwPvNXT5mDJGQdYCUhqhBR3QsRNHBWAHVnMd4cR9XehATECJVLZukjntjyDFgTLcwTO5XCDIWxXxTgPPgXXqPAKveB9ptT9t3dF0rJnhjch6xVgy0ur6jKkvRVfUlxhpxo9Zqz2wEAQtCL87scR/4xZRZKq2JymCKBtfvUCGirEaH3BIXxjBFTVzoRQtLpDE8jqgUpigxtqRte8rGM/Q9ZT0TeExbdKExusRW9agVRypU2aKi37W4vk8Vr5g0KaUrQLSLjZj6lDVlNcPWM0zdoE0jQEHf4t0uVbgNs8WpABClFCWc9+gQMOaDTemeYdupacj2031sbq44Ob0zJmPqVsYtiZQeQQMpdujxJSYVJbP80dHR0diKlvXkTUpgsgt5jGLWppR87TrHeivu5a53bHc7FEqYAk/PuLg4T4GiFJKOjo5YrVagBLDOQVpmmvrra26uLlkulhSpqyQneVm/1/UDRYgUpR31E4MX7f3tdjt2H1VVRd8LaNH3PSgBj5VStK3cs3Z3PgZwTTOT1k0UR8dH+CCSVNoq+n5IgWDe//bzP8KB7ExeB7TRKYF/NnmFw7E3BZBHsD7u2cVj0BwjdT3jemRIS4E2M4/qZsbLD1/i57/0JZqmAeALKVg+f3rGe+++y3e/+30uLy75tV/7VT79mddRRqMKYUf86LvfRRcF1azh/ksvcXxycuhDJgMLHQClWCyX3L1/n6Y03L3/AG1LYlQCbSnpZthtNywSaPJhx09aqHmRQKQPPKR/l3FxziDfvpI3/SI1LpXb2C22XmDLG7Q1eDfQ73YQIq4spQg49PTdlnazwfU9wyDt+rqwVM1MNOK14erpY6Ip0LZEF9X4F8dCp3wzhvfj9aTiokg1GLIGd8ZGYkqtimZJVBFdxWQqtzeSyZ9PSCIdvtugdMlmd8Nmfc3p0RFKOTGL83GUkBjZwJFxf8vXnOMDuXZpCSV16QX2Mbbs37LX2qoWAzkrBaPaDbh2jQ9+L5kVvTCHnKOeBYwuiCYkKShQZk94COlmyXrgR0wgeCeJZsxydYyaxCElikGrBHyLJJIaP+oemCIGEfFPz0DA/Bxje3zf4roWP3hCGOi7lqHv6bYbumTm6hNb9Oj0Lsu792mO7lCu7jA/eSB75zBQFA1al8To6HYXuO0V/faGfrPGDT2X779Pv1vTzGqsElZ2u7ni6ZOeex9/ndUrdykWR6iiwocBbYpkgMheKuVPVxv6n/wI3vH1r/4+/+Qf/H/YrG/wBJZHJ/yN//X/ls+88flnXj+uWVG6VgQIEXlFAhjEC2azvkGFQFWUPHz5JUxZcvfuXYqioBt6qrJKnWaSb+3ByJyTadzQE7ynKGzKk3TaEwHimGvKniIxZFEYYgpiI6mQV5YpVo8jqKMUFEXS8LfJLLbYg0Y+FU1zEWUKJuX7MC2E5jV/CiBP/8u/E63kIsV6CYBxe5B3uiPk2MVai/duLDgJ4CObmU/5Wtf3qXhZHOzL3DpfJppB/izPAtxy/RnwmXoFyL+bpk4SEIbdbkdRlpRVpO1amqqRdTCRQoqk21oUBWVZEVCJjSkF4pja+zPDc7vdjq3n3rmxszODxUICkOs1VnN9eSlF/aQhbQtLVVa4YZBuyQiDjxRWc3NzSTGfI50kdgTYp8f0eb1Ix/PYlx/1NWPRbnzDs+cYc9CPcE1KqVH/fz5fcPb4EUEr4tAxdKm7xTlCIt5sty0KNQLAbdtycXHBYrFgsViw3QrjN2tTD0PHMPSsVis2mw0xRhaLBU3TsN1uAWiaGX0vpnCZyDg1l+u7DmUkf5BYVApYWapC1oQE9g5ignd1dQVo7ty5w+PHjxNxpeDq5jrpl4sEzmq1Iiq4urjg5O5d7pyeEmIUkLtt+d1/++8A+NRnXkcpg08Adj84rDFgpPhc1zXEyK5tQRuKqsKHOMYit3Gq58WX0+6+PA4+iHE+/ZrXzSlT93mYypQsMX39dA35ScbM9PvbY/V2N8if9vhI4LAPwwjOfpimnE5ssNXpXYbNGhU966rm5mbN1bU4l1sV0dFTWs29+/eo5zNMWeNVoO22NIuK1177BIuj+fghhc8U0AppsVX71heQllStS6JRDB7aoHjp05/DmoIn777D2fuP6NstN2dPuHz6FD84XAi0Xc/s9JT1kydUSskmu+2EIaAMmCCBU+9x3lPP5ygPYRhGWYcYRcc3RtEvJXh09MzrEqVnVFVJ3zvabmDwntlsNjouYjRtuxOtYqWoZw22kLY/o6GwRnRecsAQfTLGCZA2hyIzG9PgIEZOT444VdKq2nY9T9/6EcvlPAUTkrTIhupTMpwM+9JzlAE70f0lD2oBHnSuvk7+y5UTlVik2YjLx0DWIsub+nRDlXGjx9U1B0DpO7quZbvdkTqkZRwiDJWiKIXNGjTN8Smf+twb/Lt//S/YXVxwenxEv9tR1zUqARTDsBWtNQIaTb1YJdYKiKaySIiAEmMz+USM1dN0D4yWytgLceSFCj60uHPwFiBiqGbHDPMds35g6wNx6CSQMoYhtaoooB+6pEknAK1WCucd7c0NGs3iwSvYUoCMsiwk2UkJswDBOShLgEwGtBPolRNTpYSNFMdCVf69BJPGGtElnwShfugFJHWKEISdVFQNKnjC0KOVFo1P73H9kO7VXgYiFyGqqiIqCfyzkL8xwgo27EX3Q7oPKkSGGNjtWjabHW3fjSBcWapUwRegtHeB4DuCF0dUOziKssQNHlsImFcUBcpojC1wQz/OVWEE2DHZhMgQFcend/jhH3+NedWgrabQErkIoJWcUpVKBo8x6ZMJnykfpigom5qLJ08pygIXHM3QiVGAlflHUWBMJdqt2qDLSnQe+w5TzoSRlOUDEsAuHQkJHC5nmHqOteVYLAjBMXQ9bTIFKMsarW16fyAGMWEZ+o4QIvPZaixy7Yf9B2+SL0qI++9//9/y6mufYm+Guacm7JekvSwQyPzL+rdZg3YYeoZ+GKv7s1mDSfrruVgoRUgpUGplGXpJSHZdz27X4gaXQFZxSL68vOTq6gpri8RQOGaxmNPMJEGq63pM4Ky1DM7RDz2vvvIq2sh6bJXBJpmG3g0Ym5iKKU7SWmMLI/q+SqMjY3CaW7liFHOKvuvGmKAfeprZjL536GLDZr3h8vKKdx69z+uvv47znl3bigSFFk3AEMWsrqpEakYpiDrpeSbQLhekNWkMa40PYuQKHCTE0y4Z2BdGR5Y2kFnDwsoQfeHgIz/8/g/EoJYEREVFVdZ4rfnEp1/ns1/4guxjSk3aGSPH9+5x8uABn//yL6X5rASd0VJk08CrH/sEf/43/gLWGj722sdF33DkSTDuFzkhauYzfukrv8JbP/o+R3fvJC16hYqyZ2ulWS5XB0H49PizAL0vYjI6PQ5ATXKN9rAoe7BmJaZoRGGqGtssKKs5m90T2s2Gru1kjsQg4GCSEkApymqGtiX1bMn85BRTWJwfWNiS+fF9bDkfxxyT61LotAeEUV8TtU9slNYMg6csElvcZEmFiAsxzQWz17/ncBxk8Nnagugsvhc5uTCa1kWidxA9KiY971tMxAOghsk9dI5tJ+2tJpEGUEpAypSs5s4gkwgUUSvsbEExm1P4wPrigrBZyz0dHMQ2Fc26ZP6nE9gpcY02Bo3M5xAjylqsEu1kFYXpKeCKmMzFScIGgBXfkIgWBnLRYIsqEQ9iAt/lPpPiZBcUs5nkQ8YYTAjQ7vC7Nd3NJdebc64fP6bdbAhu4PjkhKPTezTLJc3qiHp1SrU8pVye0PuIpSd60SX24SZptRvW11eszx9zdfaEo5NTmnnNbDHD1DMZk0VJGSJsbtCFYXP2iOgGlnceyPhSkTDR5D08phHLT/9xdf6U3/rv/1t8txYjLyKbyzN++x/+D7z2yU9RlnVa5w+lEnI8q7Xhs5//PJv1Dd/9k2/yqTfeYBh63v3B99BGUS9mHJ/eYbvbiheMYpTTy+ZV2uTYl7Sf2wTGeGzKw2NiHSrFeC2yN+buRpVARZ86ftJalPIaZWza75ToaFpLxqa10bI/J93c+y+/xON335XOIp06aM3exDYfU9D3YOzHEX4VDf8JAQMgeFknsrzkKFOU8tAQ/QEIk8HskDr10Aq8rEnSUKaky8eKSW5iVI37JSmNMKkqlvNTyAy+KRCUn8OeZ5O7+ZQy43tn8xnNYs6ubdmu11hTUFYVLYq6qQkx0nXC2h/ZwIMQ0IZEGFNITJMPN0hhvm97YhRvgVw4c8mbqO/6kUmqNKyvbpLJn0mNdUE6u5Ixu8iyea4Lha0su80Vs+Udsq5yBv/z4b174fbjPD6kyHZ47R9UqP5PVZiOMR5gLPkwWti3JyfHPHn0LtoW7HZbCB6XLrkqhYVbFs0IrG42GwFFgcvLy2R6KGDy3bt3aLsds9ks6YqLN4Uxmr5vmc1mY1xujBnN5IZ03qbZ/x0hdgSaphEwGDWSC8uyBGC9vuLk5ITLy0vW67WQIf0eG8rzOUux5sLV1dUVp3fuUDcN7WYjPl7GYAqL0jdoU/Db/+Af8XPvvMuf/83foK6qRMSSDgfp8PVUdU3Z1JgIT58+5RSRm2v7jqLUI/MY9iDw7WedrykfU7A450jTmG3PIpZ1+FCCcj+2nve6KYHkee+5fXwQ8/d5ceS0mHUb8P5Jj48EDr/5o+9z9IVfzJ/k8AOoyT/SBZ7cf0hwDjubU3Udy5OedrcjOI+JAhaUVmNLMZmr53NsoZnVBU09k5ZsJjeb/MHDHjjSiWmoFcao/x97//VrW5ald2K/Oeey2x17bcS9N1x6V1VZrCRZ7GKzq0U2nUh0N7rVICARkASpBehB0JP+AD3oTYDQAvjQT+oHQhJAgCBbBJtF1yybrHSVNjIz3I247vjtlptGD2Outfc590RkRBlWXqIXcM05e++1l5lrzjG+8Y3vw+icygJpyq0btzh++oSTo2coZ2lXK06fPaNZr6iXSwiivdjUDdODQzrnSRMTCavCqM3ybBDyVwryNMV1FTq2BXi/oW3b2IaOUhSZJs9KslRHHS8YlZrziyX7kwlpmnJ8fMRiOWc8GpGlydBS8Mrrr/HN3/8Gezu7jIqMRCeMy0lMQqWyqqJhkIltdz17cXtwR8VkkjRhmiYYPR2AI4USgyAYJqvgNm2uSjG0rATv8UhQ0t/iHkje3vqApE+IheUWpRqUtAX1YHH/uhyvJN79uOnZkT0Y67ynqhvazkcQ2MnCqHRsaUhwncfnBV/6M1/lu7/zdRZHT5mMRgTn8TbqVSoFeQHWkWQtF+sV86ePycoR2WhElhWYTICwfDTFpCOcFiad2U7oCAyhxYuyUEo2NcBKIfTi6RIgBRXHBFuJowLQYApGO4d4J+AFXY1tawFljEEbjbM2MkZEIzTRiiTNGY3HXJwfE1AkJiPoJLKFJdDqB+AADqs4amPCio7mUr0WmlKgEpEFMUbmDqXiXLGRX+gZO5LjRrfyOrbjOqmw51lGV3l8EMH+uqrwMdEWExo/BORyPRTWu8HrRxGZgEr0RvvCx5AIBrDesq5ET71uanwM0ifTKZPJhCzLSFLRU7LWUa9Ed91Zj+4sYSUu1TuzsSQFgCJFJYgWr2JIVmHz/DvXkBRTnj58j6N33+Miybj3+qu4oDDR3Vh5KyCPySknu+TlaKNFqTRdtaSrFhgD5WTK+uKC5cUZU6CydjDXSfOCJCvIyzFJURJUh/aQ5gXpaIazLdpZCJ5eq2vTrpNi8pKgNJ21UowjQPC0bUNbrVFKkxUjlDIQHF2zxrW1ML6VKD6lJgXfEVTKZiRvD381jDUiE+tPJvz7498ePnwoc3Qsnl3yxelBHK0xJsG2bVwfJRgbj8eslytMDOSSqFvYt4gK2zcfgghrLcaoQQevbVvqphFjs7ajqmpCgKPjY05PTum6ljzPOTg4YDQakec5s9kUrRVlWVKWJcYYqrpGG01hcso8Z103ZHlBnmUUWQkhkOLJIjhlu5ZEJXS2lXXOGHQakzfnKfN0WGesE8mltmkxW27qne146f4D3nn7bUyWkWQ5Kkk4Oj7h/OwiAuOarhO9sMzLWgOxyBxA+pECWsdrpnr5JQFt+wnnaqC5zQoY5tMrbAFrxYy2l9kRZrQwkpu2jbdWs1qtWC3WHN64QVCKvcNDPv35z5PmhXRUDEUwgBAlcKRAoMxGM1UMxyRRzouSX/zlX5Hf0T8fAjL3LEZUHGdxHe6CZ7q/h04THArVd+mxaePtgaweoOi36xgYV3/3cRnFL9K2nQxuipk9YLqJadVzC1ccQ0nJaO8WaZrx+Cd/gKuXoivbOkIEHY3W6DRBp8I0Hs32KCe7hCQheEemFMXsJrI+MMQCbF9nFc2O49gZxnWfRClIMykgmDRD58XgNSHrstl8bBjuW7HREN4pkqwgdC07O1OcHw0xlbMNLjL8Qh8L9MlOjI1RahhvIQSJ77o2xqgQ2jYCr5IXiEa5p2udEBaQzqF0NGJ2MOPZ0yeURcFkf58uz3BNRbNeYbuOtq5RJsUHT+6FsIFJ8MqJTFnMSTwC6Nmuw3edMLy8yIEowDtH14ppa9c0BJ1Q7uySTXcxox2yckw+mqIHF3eG508jcgCr1YrZZDRIePUrXLErPGMfPG1d0SxFRiJ4S5oocC1GOfLRGJWPCWkm3Vwmw9ka39VgO5ytWTc1ppgwPrjN5MZdbkYz67ZakGUl+WQyzDXPHr5N9e6PWX/wNt2t22jXkiUavZ+iklyK99u5xnD/4/r7R3qq/t1tZ+dn1M2aVCF3Osg9mZ+f0HYNeT5CZLyuYVnGv0ySsFotWZyfk5Y5XVNz/PQpO3t7oMVcMk8yer1fhR5ayZUKJCrBpEKkMEbkGEMIqMQM4K73HuWkICE5qaNn+IKKQLFHKR8NxmPOmOgr4GssPBgtUoJaDFuNNhAUrXcRaBRT175zbxv4gMvrYA+CXJ7vYx6lLgPHA2gTJAfXGrKsjJIKbugW6s+5qipG4zFNXVMUBYmW/EPFeULH+Un5EAvAIYLAG9k5MYhLYqHHD/veAMTberuXwZf+316OUa6jZjQZM64qqlXFcrlkuVwyRaKJNuYeIQSqrhMzQBg6DJWSzoX+evTM4aqqoveDE9A4hCFH77qOuqoH+TA5biHweIRNnUR/DqOroXCvjGG2s0PXOerVmmoxpxhNMUoPhKltZqO19hODTH+a2/Z4u267WqS9/Jk/qeMJl7CT3pjSGMP+wQGTyYTl+TmphslsRmoSPvjgA6rVmjzLWa4rzs7OBqkRay3L5VIwKGspy5y2a1mtl4MXh/hVOHZ2ZtGUOo2xqMbajiwTMFprzXgyprP2kr54VVUUo3KIUXU0vVNK0bZtJIFolsvl0MlWVRWHBzc4OT5jb3ePp0+fMpvNqKqKqq6iafIOzjnqqqIsSxIjspOz3V2yLOP0TD57eLDPB+895J//k3/KX/r1XycvC4ySNdckBqMTgvN0nWgB37x5kzTNsM6Tqsv66ldZvNv3/Gfd++3PXqcRfB1bePv17f3092t7uwoWf9TxbL92FSD+sM99ErzqE4HDf++/+X/wf/2//d/Z3dtne3QPoM6VLzZ5wY0Hr3NgG569/y6nT56QqkLAEz0Rlo6CNBUW02RSkiVpXGwdAX/9iQ43ciOEr4xBmZR1A6PdAwKBN7/7PRl00xGd7Th9+pTEaIrZFI0Tt0fnSI3mg7ffpShKYR/7QN0KAynxvc5xBKmdJzGilenjRD5IMpgEY6TlxHkreoFpShDSDiEEDvalfXO5WFBkKTt37w7X0CML1dmzI15/5QF5lI0IwQ86aVmSggoxYdUkqVSRfWQ9DhP3FvCnIIJXUjEOaGzf3qpA9KMia0TJgpqYZACghxblEFARXOpdtvt7s+1Q28tR9O18OgLMqA0jRHa3Car6Rb9vL+4X6ICY062qmibqOfdszb7VyTlPGwKf/cIXefP73+fsyQeMShlny8XiUgCSmIQk6ZlsAqybxAhA5x1ZmpLnBcV0wvTgBpP9Q4rpHiTbDOEhK+ZnzCU/v5vapKh9+6O6WtIMvTSDwhQjxns3JcC3FV1T0VQrVNvFey+VPIwkUHlWkJelSBC4wHTvBul4hxALDIFrwICYZG6SQB1ddrWw9xDGLEkegdEtYGTYq+pPD/B439HVNa5a4Ns1vhNgWGcZVdcKQ9VZbL0W8BJie7ro5arIpvDOkWSin65CiG7gYZgFZY6IreFBWBzeK9armovzOTZ4HJDkhpt3b7O/t8dkPJY5IzE0bYNthAlcryu6psFby3yxZDwpyFNNliQYpfBajAAJomWsogGJc12cixzeQ3V2xm//q3/Dzu6E26+8zrJuyHwjLJE0Jylzip0DTDZhPBpHAFLYhVlekJdTvDugXl8QVMJ0v+LkyfucHT0V6Yd8xGS2h9E5ncqERYiiXS1wzcmQPKdZgvJyb5Isx6QZaVFEeZESTIIKwlju00ZrLUpp8nJEko8kybY13focZxuRAHGbNnxtEkJh0ZkcV1BbbEqlBhZJUDqaKQU+/jL5p7vt7xwwjGslhZK4AsRz0CiVkGQ5vm0iAyyyw1Uifa0h4J2sI0maIDKgnvFkTJIaWmvxMRHsuloAV6C2lsV6zbqqqOuGEMTw4fT0FKU1O7t77Ozusru7Q5LJfJrkKUWSkxc5QUlrZ1pGVnm8V3uTKUoLaOy0sKMIClGVlvbbJE9IvcPZFqNVZBkGrJGzNokWklBVkSapXA2lQGtMmmJcxumzE4q0oKWDkUKbhKptabqWs/M5RTHGO9E486GmC4qbL9/Ddh2z/T3Wiwu8bzAoaV1XCkwAY7AadFDD/ClEwS2Zq+2W2thJQQj4qKGID2LO5wXksq0VIKmzom0WNZ8PDg/Yv3nI+cWSl+7d4wu/8AskeQKqNz1SQxFMwN2t2KxngQJqiy3WV1UUYZgxh9bvLZwSB+JPGDg+P+H2jRuEYFA6ic97P/P2MlA9MLwdiG4C6j/OxOuFAZG3AdPhyYW2a3n/4ds0dcPL9+8znUxB9V1dbIrlSU62e5u7Xxxx8vb30V1HXa0hquikmcFkUohLxlNxvUeK+zrNABXNLIOMT4KArzAEMFt48AakGuJsOQedpiRJidZpNIr9GSd77csy4hxe5GJCCq6jbSuaeonvpG0VrcFF0zclLH5iMSYga7aPxALvHNhOyA4xbkQFkiAGVGJK47BNwNsWlRVYldDZwGw6ko4bHdvTm5y8HAtA3FY01Zq2bWnrmslsJnOsdwRvh7Z9naTYpiHYjuA7XPQUUEpA7YBEjFYZurTkxr3X2b/7CibNY950Nenc3BMAk2pmu9mVbs2NZrm0uBuK0ZRiNGP3lqL3HeiaCrs6JSlG6HwkBXzX0VUX2HoBXQu2w7ZrqvkZy9NTrGvxScb08A67dx6Q5wW2WbM8noPtpNvq/IhZkVHZhvXZKUWakyQFaTnDTDKId1l5Aem8dgSt0EEPRfsXYbt99y67Bze4ODsilj/wAV66d488yyIIe7mLdkOukHkZ53nn7Xf4c3/2z3H7zl3WyzmubtFZTprmLBdLqtVSCjMxl267TkxI6zUHB/tDMUdrMXbVZmvuDb3sn8F7WaeGwt1WjAxECQZhJMszBbDJp5JEbkwPCidJL2UmXZQGxeLiAkIYckQdGbnbYOn2dbgqr7QpksV5R2uJqbfAle3jct4KUB2/r2faGmOYTqfs37jB0dOnEvv6rfVMCzAqIYHarGvbYHTMDes6dgr03XRsZCYuHTeb/PU6bf3+Z62l5b5Z1zRty7oSKcfEWcqiYN3ZLd8ftfEsGQBZJ8WmEOhigX65WODi5/oCmfeePC/Isoy2qYccXhjJbvAzUkaMZ21nB5C3bTtMkpClGXmWU2Up2WJJOVkw3smfu3+9FFnbth/v4flT3j4u4Hf13n0kuDbs+0NWuaEI9pEHtikWI2PTxTXg9q1bfE+JbGZdt5weHzMZTwghMJ9fkCUid5pFI7okSVmvV5EQ5PBBChxZlg2s4J4BXJbFIH8qmsGBPBcvjrZthGVb19R1gzY65mDS3VqWJcu1SFJMZ1I8mM/nNE1DWYpUSp4XQMNqtSLLMpxzIi0Rc9WiKOi6dji2uq65uLigKAq89wNbeblcorWmKAqKLGc1n0P07PnJj97EKM1//Nf+Gs7ZwURZuvAV9x484J2f/Jj5Yo5OE3aMJs8LPJc7+K4zy7w6FrbnzevYuf1+tsfO9hx4tegQtua4/vWrAO+HjcEPG4/b778KPvfzyjZD+ZPEzJ8IHD4+PuLh+w/Z3d279HsJOrcmyX5RDKB0QCUZhy+9Qjnbp14tcV2Hd7L4pYnBKEvSt3BG9k4IEWTc+p5Bc0ieLNIkBTTaBKyHVec5uPMybd3y9g9+QGISxrs73Lp1g2//7m8jhnEtVdtI+4XzpJMxmUrQbeDGS3dFemJ+RkbKerVGoVEqkKZivtU2Vsy0zMaMQgZIbLGz8nC20ZVYKwFbQghkWcpqtWa1rgchb2s70lTYlEVegILpSB42k2iqao2zjul0ZwOgxmqv96JLZK0kt/0C27fD9uAuQdpBNBqynNHBPj2LxOiEtmuo1lVsdU85Pz6ia1smZSatsiG2OQ4LmR8mRzmOq7PhZuBL8N4n8z1zwwwzqI8B/VDfU5uWKBUnyaaxovns+5YAAcRMItIay6rh9iufoqornr77NrOyoKqrQf/UWS/6St5jjOjlKS1V9yQVvSphe8rCX+Q5o6Jgtv8BOzdvcPfVN5gcvoRKMgh60P96sXTUrk6CwsBeXJxzcX7G7t4+Ozu7H7EoGkw5YXYjoWtWJG1F2rYD8ISKrZZZTpqPUEpjmwbVVtzY2UMloqfF1gS9AYU3kG7PAoYYlCgNJo0yKymDhuNwHmFopdlmJ0h76Jp6dQFtO7BNhXGkGWUjLpZzsA6d5qw70a0N3g9tdWmW0W5V4oeFQnQXgI3WkI9gcdszn7xnXVmenVwwX63Z2d3lzku3uXf/NlkMsLLxWD4fBKzMEkWWHTC/WLC4mHN6espyuaQoU9q2oWmiTIA22KoWWRcfhueqXyCcc7TVmmbVYL1jcus+D770Kzx59JDEaG7ceYnRZMb87Cnrk8codcTcB4rEYLIElaToJBUjIp2Q5WNGuzcod29S3LjH6dETVlVLGzRd4ynCmsTUmK7k2Xe/Ac2aIpVAOy9L8nKE1oYkyyAvUXmBxWGKEd51KIQVnCYa62ysSGvK0RjbNSRpimvWtKszgmvwXYttWry1YsgTAmmW4bsWkzek3pKWEwJJ7CzxWGyUA1EkXjHogL4A21d+8RcFMAl9sW9TCpHEUIqjSZqx8pBEqRutFQTR4lNR+qBtu+EZ68et1pG9HhgYRW3XkSQpTdvSdnZ4xp4+fcb5+RxtDLu7e+zs7HDr1i1pq0TkYlTM/pMspxhFgyId14oQQBuKcsxsb5+9w4MoRaIHJo+zluViiW062rpicXFOVa1QeFQIFLFDQCuZT7JSkmqXZfQGljoy0Zu6FckED0anFFnJX/4bf4v3Hr5H23YsOkuZpXTrWuSWtOLOnds0bcfi/Izbd+/w+L13SBMj7aOIRrDppW8UonmtN2aYV7eeeQl9ESkWRKOMhLVevAcaMbG0MXDViYCwrYVsPOKNz7/CeDLhu9/7Pr/8Z74GVphlId5LIiAbiMDgUKT9qISnb7ncJDUqFueI5wcBH4SdnScZRmnqriVNhf20tXrHQmw/tw+ls+euxx+14+aFAYavbAoJlbvO8g/+/n/Hb//rf45zjpu3b/N3//f/R16+9zq9mFaE8Ynm2iT5lJuvfoFuPWdq7TCmjNGoJEelBSF4XNeQiLg+vUt2fw+U6uO5y9dPbQFJsWeMnrCAScmKMdt6nNfevbA1dthKomJB1Xcttq0BB70ur7e4ekm9PMc2NUS/DW0MXcwrtNL4CA7LIx/EpEomjP7MNjrIEQQfutO8x1tL5z1adSSdxbYt1iQkO3scvvQK3itCW2PXC9r1CpWd45olbVXRtR2t96wWK/JSisRKtfSMQR817xXS2YbSwvTURox4ywkqSWiqBbWFvZffgKF76jKYLvcgPotbgOB1I6k3xPnwkSbmzCa9JYC+d7i6oluf01VLXFcJa7iu6aoLumpFqh1pWmDynFxZ2tPHEfxLSBSoPBdQ0Vm0kri6qStWF6dkowmj9SGmnEKSiXkojto3nC3PhBlX7pNEtuyLsJVlyX/2X/4v+Cf/+B/y+PETVFC8/PI9/srf+Nty/fs5U18GEnqQKADnZ+fUTcunv/hlkqKkc4FbLz9g7/CQd3/yY5588AEuEg2cDyJRFOVP9nb3hNijGSboJJHCoDwLggL3prG6lwBU/ToYhkKPtW547iUFk3mgKIrYKSSsYqVVBIU1SRJBBQAPKYZqsRjIQtps2IXDucftOuDlEpEs5sf9OL8Mwsq3Kh3QkXgh+1BY6wcyknOOk2fPMFEyUCmF6yw6ETNMQhgAMWCQl9nE9NLNmigt0hNXQJY+P5XzkXPsc9PnzmtrS2OH1v7hAdZ7Tk7OuFjMmYUpKhZ9twGc7Y7bXi6rrutodtXRNA1N1IdNk1TkgqzsJ88zptOpFNAnfgC5m6ah6cTsy0VswsYuqbZtwcNqsZYO56wmKwrqdcV6Maec7g/M6esY4S/Cdh34d917Pv4ON//dLqZubyFcft/VhVINk/v2bkUqxVsrutOxG8hp8b7qu/jyLKeuarK8jHq+iuVyieBOlh7s1VpT17WQP8ajqGedDviG6ATL+iWfh/FY5IpGoxGd7Q0g3ZBfW7cBnZ211G03SKJYa7m4uEApM+yninKTTdOSJZtzqqpqIPg55yiKYhiPSimyNGU6nXLzxg0ePXrEaDzGpCnjIme5WjEejTg7PcV2LdqI1n8f91pruXX7NucnJ5yfnVKOR4MHSwgbeYXL9+t65vjVwsJVn6yrYOx18ex1+/y4oO9124d9x3XA8Pbr20D4nxg4XIxKbt44+PA3KBVZWR7wuLalXs1pVmtpiWhrNIEiy9C5JjE6GittmKQQhrZskY4Iw83fvrgmkYQTpWg9+HTEnbv3QSkevv0W5URatW6/fIdv/Na/oZ0vKJKExlq6rqWpW6q25cbBIfOLOaGD9996m7JIN3qhw4IaSKMBnSdQN1HM3W3cQ2V9M0Ml1DkvLW0+kGZpZBIKC3cyGUuFM1Zn+/OSFhJLnufRoTUwm80kKdXJpQHWP7guOren4zGK2BIUQVMddRRj2iqTUNcxPzqSAFYnUS9NNB+7pqJdLsi0wpuAd92mrT8GsYENcNvfi74dpk9GYzY6LPh6q0INYLsOIiO0T4B0r3cVk1GZQ+Wa1W1HZ/3gvG6MoSgKRuWIumnYv/Myd1++z4++/U3GeUrT1FRVTT9Li2GHMNFl95uKb78Q9+figwRYaZIwPS8pnjzFtY7XijH57FAAM7ZXgBdlsbw6kQXe/MEf8N/+vf8ni4tz9g72+Tv/y/81X/qFP/OhjKBAgs5EfiMNTkzXnCM4+b/zFpPmKJPguw6MISnGEERIv0+DNhOkGu65FH1EJ0tujUElGWleCit0YGeoISnsx2CS9HIncYwGR1et6Ko5rlnRVSuc7WJRIKFenLI4eh+jDDrLWC8XFOMx7XIh844LpOmmxUupvhW8Z+tI6xi+l53oJ2E3TNTWBebLFccXF7z6+c/zqc98itxAYqAYjSmDpl6vWSwXGA24DtuJ2VBZFsKgz3KChyIrcD5QV7VoyXpPmmcUSSnjNSAgkXd0tqOua6rViqYNfPlrv8rszgPOlmsO797n5o1DLo6e8MOv/ya+PqcoUtI8l0U/JCgV0F6At4ABH+jsnG49h6xkvLvHjXuvgRJzgmZ5zsmj9zh78gFaw5iGkCDu2gqatZjaZEWOTmZ4BU5QTlIExOvNh6y1dLbFmJS8HMuiZsQFVyXC0rFVTb1e0lYr2tU6aqBBlucU4zH5dDeOLy0mSQEat+bfvvdtvvvud0lMyl/8/J/n03tvXHomfp63e/deGZ7ZDRgimzwDUqA5uHFTKv5NzcnJKbbryKK5qg9SVOusRRj5G9Oo3tnapOLoK4w4xXy+pG1a2qYDNM+ePWW9lvYvrQzT6YzxZBILJIFEiyRTMRoJyzDNsEFhTMpoOmE0nTCd7VCMx5STCTrNtkwm1XA7QghM928SnIsFTkfTVFSrFe26Ynl+RlvXuLbD2hblUhwOspQ0Sq9oAsY5fJqSKM2Dew+4c/dlkkyMMBrb4G2gq1ve/smbvPmD73H31iHr5Zy3fvADYTNpRZ4qYWIqsWh0IZCYTOYkZ4UJvQ24hQjeB2Lb/Qbo8WFjOtcHxF3nsZ0kh9bKH+e9JLZaNNO8MnzxK7/M4a1DVusVv/t7v887b73Lr/75v8Dt23dQmXTkNE1DUZQyQgbXZJlctVJXc5IPSW6uBMuRYa5CYFQU0l7s2RqPm3HYA1Kynytg8yfcPirYvfr6z/22lTH2f5+dnfLb/+ZfiW+FUjx79AH/8jf+GX/n774+RBcBtuRjBJzQ5QxdTIUdODAHbZR86sA5TJLFddb3S+VwL4YjeQ4c3tb0Vygtpq1JmsmaHos3feHn6r3/qPsRcLh6iW3WUVc40LWVgNhK0yzPcXUFQVjAwVqcUgP5ImiNdxIvaqXxwdO3zw+FlxCGTp4Qz09FwEVec3Rdiwug05xMacazA/buvk6SRrm1fEQ+2SOrViTjKd3qnHp+RletRWc9xr4JGWSFdChEtp9GYvnMZGBSTJLhfIN3lnq1hGYFKuPOy6+IPNvHSBA/TiJ33bMBRFMuyUkAXLOkW8/xTYWr14SuxjYruq7BNS0Ejy5GJNqQZDlJXgrAa5LN3BaTTBdA5zmjnV2SxOCePWa1XDBaL2iqJWnXkCQ5BMWz9TP+/tf/AT86+TFGaf7Sa7/G3/jyX31hiBVaG16+9yp/93/zf2B+sYQAs50ZJkkiOLyZ7y5tPXoUJGcyWvUEOnZ29tE70jnwkx//BIJ0NIrJW4iAhxS8tTZ4J1IIgyFxbDevlsutZy+wYTCbCBSL3rahHwcBlI9GiBsNSh8sJhH2eWIStImmtvpKgZGot72VO5lIktruBoXNnLD9PfGFwaAcNnKI/XjwscK0za6T5bDXLZV887LpksThYkqnI2jUy0Mp0QxXkpcruLTv/liH6xhvkpCs+m5Yv3VOzxtVXQe6CDNbMZ6UHLg9QoCLiznrqqJpGpLon6C0YAy9AZ/kP4rFQmQv0yg5F7wVg0AjEnaJSZnOpiSR1SlGzeNoQCnHV1obiTZi4HtxsaDrREZzuVhhtLBEe0A6yzPKIqFZ1wTbSUefuq4w9T9tf9itL1xuB/E+Yj9BK6Y7Mw4ODmhWKymmdh1ZGtm9TYPSmqdPjjCJjPG6rmmaGqUUaZpEg0rD3t4ON24coLWOMnFdlJXY4eTkiNlsRpZlWGuHfzcG1RIH9D8DpEqhIpu4bVtSk2Cj9IT3nv39faqqEd3rth0Y5olJCY6I/7VMxpOoga1YVxX7+/tCgMoLlNGMJhMuLi54+vQpbdsyHo8xWrNcLCjLEqUU69WCf/qP/hG//lf+CmUaCUAxf1ysVjx7dsT+/h7TyQ5pNN/djlg2z+r16+tV9nA/h12Nca7OI9uf/TjbR63vH2ft32YhX+7G35DEpMC30Vr+JJIwnwgc/s//y/+KGzdvXou0Dz97S1MtcW1FVzfgOzIVKMYFjHOUEn0sDxA89IBK36IdfKyKxga8LS2fnkUAxOTJYJXGlFMOb72ESXOq5Ry6jsPbd0nynG/97u9xcXIsgGZaYl1F13k668nSgouTU1aLBdqDSVLaTs6lrsU4yhg1iHn353gxX2I7K1XVrYEEHhticqeMfEeWRaMA2a/IJpjINAKlpYXaeTfojyiNsAPjdyaJLOxKR3Bga/xZZxmNx8OC1lcie8DqEqNIOVRwZC4G1E6TKI2zUaMSRB+YgEmFvbFdFe5Z0j1bsm8v6Qdjv8gYFNLXJJqrvXZN/14B3S3ZZIpt1hgdhoBj8wgHeu3MzoppICpKbySic6uVtPR9+rOf44ff/R65gqZpqZpGXOe1XLeu7YaWZL3VkqMUm2se992bjIXgWVc1+3u7vP/OO+zfvsut8R5hMK4TmYMXZnsueA38xj/7p5wdPyUxCafPnvL//X//fT712S9SFuVzH9+k/X2rp0GbFLQj6BYXZQAkh3CEINe7N3zo98GlybRnJUgQGowUV7QxpNkYnWQCCqsrPBM1/LWp5MU/Kni6akm7OhddWhsTH8BbS9uuqRYL6tUc7wPpeEKmoV7OpShkMoKVSdVumUGEQNQo9QJEqYBRydAiLq1BUdfMedqgadqOcVlw9N573Nydcvv2bZJyxHrVcHF0zPL8jFVTo5OM3b0DdnYPCaGVYpRJmOZjdAi0zTq6XQujFiVtwUEbEeQPAqKqbBSDxENuvnFIubMvjLIQOH70kPff/AF/8JuP8c2KpGvRGiazCWVZ0GYZo/E4AgKiB6eTHJMoAk50TLua5qymvTgmeE+1XuO6hgy4sb9P2zX4LMO1jcwNIYi5j3Y4FwgOSeDjYuZDbH8LAYKX4N6kZOVInvVoTBCCBPa266jn5yzOTlmen9GsFphEJAQqo6mrKdMgbBZlDDpJCWnKP/zGP+a//8G/BBpCUPz08U/4v/yN/zP6BSnsGJNK+6PaGDFtQDgZ+Rphor507z5awdnpKY9Wa7J8I+1Q1Y0YnzlH4kVvOM0y0DBfLEkzkUBK0wzbWeqqwVqH1oaj4xNWqzVaG8piRJplTCczxuMRAUiSDG2MzB1G441hduMmd+/dYzLbIUkzGUMKvIqwVmz7NGxJGvTgUwDfM1cSTWYS8tEUFTy379+XdnFvo9mTsBqWiyWubalWSxYX5zTLJeMbN7h3/xWs9+TjMU3T0a5XnJ4c07WW27fv8IUvfwmU56ff/w4Hsx2CZzCbW84vyGKx1iASWD1Tf1tK6RIjM2y3m0mh1loBhXuNuAEcjp1Izge6yM4WlpTGWscv/4WvMp7s8PDhB3zzG99AaXjl/gO+/lu/xf/nv/t/cbB/yOGdmyRpytOnz/j05z7HZz//BUaTsTwDOjKiPiTYjDXceKyXQV2UFHm0CswvLsBJRwSJIY1gQy9hcVWfcHv7ozCFXySm0vWbmJJdKugAeVEwne1wdlTJNVeK2WyHXvJhGxQewBIYnpOAxIzebbRt+6LYEO9FQ7Tnrr3aNnrb6Ab3LMAAscibR83hoR47YF4fVVcbngmIsk5LXDWnq1Z4Z2Os52mXFyiT0K7X2K6NhVk3tHPrILGuBlQSpRK8jbFuvLrey7zogkgNxfjbo/Bao0xO54F8Sj6esXPzNpPdm3hlyPJSDKrYaPiiIB3tkBQTwv5tbL1kdfKIZjWXZCtJ0VlOlpfDM98Xe5y3JC4Q/BoXvBSHtCJPEkKakI52ycazP1y15Gdc62s3BbiWdjWnXZ2Da6V7qq1xdYVzYkinkpS0KAeTz4B0LRiTSFawBZ4FRENZmZSkGNM0DUEpkkTTNhW2rbDNmqQY41TgX/zwf+SbR9+JcWDgN378L/mVV3+ZmRr9sV2DP8lNK4PWCWlqODgotwpeMY8YKpqK5xDv+LD0Gr5v//THfPrzXx4645Ik4bXXXuenP/jusO4JWUVJF0lk5oGWNVLF+VAF6rWsxX3upaOBHUBPNNIRBB7kBpWYpm4DBP17+3MSMMkMLDu1tTD3c5KYJHfDeBlYufpy6/b2fnvDzKvjdYjfh0diax1lM74vG0E5KRIR0FrWSvnejWTFJZnD/nmLBdqrzL2w9T0qIN2DWwB2f116s+3tDsV+vbsqnbFtfDWZTtCR0LScL1jMF6xWq+gvsAFzxIslDDqwSimKJItmYSO5J0aRmJQkSQXwj+BPn2P3x2OtJfWO+XzBeDxhYkRuKEkNJycn0WelJTSB5XLBbD3F2V2c9dL93BuLX8I3/v3f/rTOM3hPkqR417Gzu0tXVeA73vrxjzk+PhbfjmqNbR2vvf4Gq9WKn/z4TUwS5UbzlDzLMInh1VcfcHp6inOO/f39SBooOD8/Zz6/YDabDeO1l4Tsn+MkSUjSBOvEh6e/Jt57lI+m1fG9PTa0XC7Z2dmhKHLSVLpbxaNLAGbX+ihjIdtisWAymVDkBY8fP2Y8Hg/xzdnpKXv7+3JOWYYLnkkEqdfrNWmasruzw5MP3ufZk8fcH72C0qlgXlpzdnrKar3i1u1bKKXI4vf67cJpzJ+umstdxyrut+1C0HWM4Z9ZIP+Ez9F17786J27/bjvuvvqZ5wp0H3P7RODwr/7ar4NOn8eZhv8EfNPQLedoPCkejCH01VUvAZMU4yTR6KUifM9G5XJAO1yIyDDrg1+tE1ofSEYz9m/ejRVuT1uvWS4rZp3lG7/9W6znF/jQAbDupPrStpKgBeuw6w6jYvVUp9GBW6GCuIEKaBuGpElpMCFhta7FnCsCW0kiAQBKicCwcrFiuQG2NgDzBtAibKoTRusIsvVJ22YA9wFov3j3bNfeqTJYuwV1XNa0UcP39S2nDOZyWityIxp1QUmFKfiNSL9RIqtBCDglwJ3SCmfd0MbTG4WJM/rWfYst+j0w2590f1RtXZFqJQF/DEj6k/eeyM72or3kHNY5jJbrZIzBB8eoKHn7+99F2xavpCXXWWFyC9DLsPA6Z2OgK1qVvdSEIrrU+569LayU5XJN03W0rqX8/vcY7d9keuNunEiupnw/59vViQ+4efMmDC1pl9smrtuGZzEI+BtCkDZR7zEmASNASIiOtpfaHa4NCreY5VoTlCYrStK0QEoUio97iRVA8NhqiasW2KbCBIe1rRjQtQ1tW+PaBl2OaKsGujVqtcBEc53ejMdk2aWKoEz8z0+82z+HIJquImUSWK9WdLZjd3+XxVqYR421nL33PovzOWfzC5zS3H/jU3z2y7/A3o1bpFkBwbM6e8qz99+mXlXkBqrlnLpeSzuPs3irUTpluneL2eFtyukOJs1I0lQKFsoIXBgcrq05/uBt/u2/+B84fvqYz/zSn+HiHE6ePWV/b4+u6aSzIEAdmVoydxisCxifSYvcFmKkgjB+R+UYm6XgHDiPTlNsU9N4D00ztCNlJiVJc0ySEtAYkwqYmBSgM1wnJhsmSaPxHHRtQ9t1FEYKFd51rE+PWRx9wPnRESoE8jQh6R1qYwFvfXEiUkVpim0rlPb8+OhtvO5QSCfFeTVn3VZM9IuRoAp8ul0YvGy5p+IzfHp6xJPHD3nltddZVjUqLbBhyf7hIY+fHdPZOXXTxoKrQusE7zwkCePRmHVdUa0rynKEc571uiJJUs7PLzg7O6dtGvb3D5jNdkhTkaIwRlOOCopyhFMKrwz7N2/wqc99jtFkApGBOBy12hSathpWt8518784Q4iObpwLFNGUT0sMoLO+KKTIx3sQHASRWpIEWs7x5PH7/P6//i1Ojo64ODvj9PQEpTT37j/gxo0DLuZnjDKDty0Gg7cWpRJU1Oo3SmGUMJLx9nLXi+7d1iE4ScK9E1DdxeKj9z4yhSOzv6qF9W7lTDsr+7RODH+MNty6fZt3332H3/nN3+HhO++ijSYvMn71z/8qvqkJnaNZzvngJ+fs7O2RBHj7Rz/k+OlTfuXP/ypJnrOzuyNBC8/PXZv5WW3FHAzxBoBWnq6pOXr8mJ2dXUIiprhG6yGJBgTUowcqzKbE6wPeP+9kv30Mwzjemku3A9rtIP6PAjT/aWzPXXNkLIzGY/5X/9v/mn/6j/8hi+WSz3z2s/z6X/lPpHDWF08Agh8AC+/F6AwgODFIHkyFt/Y/8GK2iqiwHUtHMEdtpBp64zkfAqrv1HEiScbQ+fVJNpEicdUSXy2wzRpvGwF8vcd1Lb5r6HpCgRZWUh9oS7ITPQeUsIiD90IiCRsQCO/xrqN1gSQr0NkEk6SMJzOy0S5ZMYmGbyNIU8kdQl9KvlwcGVjzsXBTFAVqUjDNR/in75I2FcFb0dztWgHfIBrCynzglcKkKUqJiVeaFTIHaoNOM9F6viYRvXTlPgrv/RhJaF+gwrXY9RnN/BS8w3c1rlnTNRUhglcmTdEmlQ4tnQyeA708j9ImdstF4CyCvL3+epZljMYTvO3o6krkKpo1uBafGBbtEq+85FQqAlvayNh64Tapilx77z7sdgaoqjWv3L9PvV5H/VyDzLkakyS4ELAxZu7JN9ZaPEE0NWFrfo6gzFZBT2L4jdHpNmDQ+w84J0Cv9zrmoZtD7EGeft8bsHNDOJIcSmOtp2tb0jQdAKXN+nf9ten32fsY9L8b2p235vftS9nG79me/72LvjkhbOIBRQSxe1mGjfRDr3pn4vMZIggfQlSdUEKukGupBt3yq1Iu1wFC2+Dx9v+3WdPC3IPxeESWZeRFSl6kVOuKuqroWjsY4RkjHbxJklCUJUmSMJmJL4nWKsYGKv4suUoSzaP7XLwfE10nHdJ1XTGZiL+TNorpdEKep5yfn3N6eoa1jnW1Yl2vqZoK68Z4Z+najqwkXtv/CRj+Y/4mLiW2sagbvMUHeOW112jXK779+1/nYj5nb2+Ps7Mzuthp9uabP+Lk+JTxeAQExuMxk+mYuq4oioL5fDEYDvaY0XK55P79e5ycHKOUdKQJliQdOV0n8kI7Ozt0ttsQ/eJ49N5jfZQ+ccI+n81mnJ+fMxqNqOuatrWMx7Kv3tz67PSMIikoo67wtlSKdY48dq3OFwumOzNSY5gv5oxGY2Y7M37pq1/lW9/6NqPRaGA4d13HaDTinZ/+lAefei0Wiz3f+973WZyeMZ3NGI/HFGWJ1prOOeDyPNPr+sNlNu12DHqVGXz1ue/ff917f+YIUNfEZVs/b8+7V1/bfs+23EWPDW5/bns+/6Rx8ycCh416XitqCOT7i6O1BA7Cr5PJNjAAShGJi+CwBBoBLt24q0kC6Bi8mii6H1jbwGT/kJ39m8JgVNJ+upovuH3nDm//6PvUF6cE1xG8F6M711HmOV3ToJQwco0Ww7nOB0ya4lygKEom5YjVasVyJSLcRTmiWlcRwO1QiSbNEjGN26qY9klikojJhe1aegAOGB6crutIkuTSgt5XS3oh8OsGW+9e2l+n4DdtSGaIciXhDKEH3EHoUH01WA9AN0qc2NEanaTcevU1yvEO1jqq1ZKzo8d01QqNRyNtRwFhTWslyV/oq7hRJmQDRfdAE7EaKVrNWmuMAlwnbaqxxblvYfHDg8EmGfBhkygoYWATlJiAtJrUJCyqCudEasPajeRHnuVSfBgCXkWWp3jn5PsBvIxdYxK6TsxGtPHYztLVlqcP3+fo0ftMD24JAy5e5xdluzplaaX4q3/tf45Whu9997tMpxP+5t/+Ty9V+C4BNUFYOwK2dptXfV846Vk90vLZg6kDpfcqe60PZGJbZtAJZTlCGQEQr+SxH7r1o0wFJxISTYXynehv2ahf7i3OtnRtK/rCFxdkxlB1LaH1w5QkxwhosAE668nzLDKZZEHv2ViqPx0vx+A6kURwNkTzH2i7jpvjMbdv3oau4+n771PXDdP92/zSL36Nl199BR8cp8+esnrze6IllhXkRcpkZ4/JeEZXTzk/KxhZ0dEd7+wxO7xNMZ6RZJloVXUNoWtZrVdiULBacfb4PU6fPIbgSVTgs5/+FI8PDvmF/+DXefzwXY5GJdV6QXAdzjrqppHkxFoxEcwzTFrgrZNW5TQT7UGjY3eBnH+SpgST4K0ljcCGsy1hhRhymgSlNUmaodMUk6WYooA0Q2cFznuc8xTlOBb+/NDCOypFuzoQqFcrTh+9x/L4MSYxpGXBZHeXfLQTdboc6/mpFIScBdfh24YsL/nC3c/x3vG7VLrG+JSvPvgFDif71KvmYz49f7pbGObwHsmIz872/BPnxdVqiU5SDg5vsjq7YDSZcXx6QprnpHlOU7fYzpNMs7gWqThvp8KQdYHFchXbDHMeP37C48ePCT4wmcwoi5KiKBhPJqRpyng8ohiN0VkGSvHg9dd56f4DkjSy/qO00YDlBKTNFWJyF/B6e7UYLNYGOSTYrCPyuU1mHOIvff/sYggEqqbl3Xfe4YOfvktXVTSrFQmQtQ2Fs8ySBBdgeXJMrj1lmTMdj7lxeMD50akQwZTCWSugcCagxsbXJoCXLihn5dhN0reAys89m8l7h7Oyfjb1isV8Fc39QjTEkaJr13mUVkzGE54+O+brv/9N5osFXdXQrCtGo5Ly4IBv/u7v0LUdtu3Y390RGRpEjibohEQFfvAH36Hc3eNLX/4yed53e/Qx1TVjLPTsg3hf4jw+vzjj4bvvUJYjxtMpLsQ2yGiS653FOktd12ijKMuRsIvjJdJK4VwQWZNYPNcRvNoGPJ4rEoSNw/11bOQXa4vnp+JaFVkrr3368/zvXv80wXthow/XIcSCjwB6Kvhh8MtaFbuW4oMViKBLBEw+LCzZXMONlIsAsNEXQ0kXhjKRleYlRhR+5IcnM5e20Mf0AdvU+GaNb2sU0r0TvMN3AiTqIEla09YCLjYtRqlIYoiyTUZazr0VyaTB1NE5Wg/peMbo5qvcPLzDeGefJBrwycXSm3lDsTG9Uv3MIhr03nuC66LpbCasuWDxWFAGnZbs3n5N1llvcV07EApclJ3rc58sLdAmGeJpY+LxBAbt6H5EXJq++fD71l/zj/UM9G8JlnZ1Trs4xteRpWhbbFfjulZi8CQlzUpMmoFOhoKXJNKJzMhJOnx/n1+oROM6Md1Nspw0LzFmLnIftsF3FcE7klDw65/7NZ4ujnm0eMI4G/HXv/g/4+bkgPly8bPP5edku66AJbc0XJ22ntuUgqZu2NvdlY467zbFFqXJy4L5fE4RwZosy2jbeviugYF6VfZFbY8kBn1Ya+2lohp4tMlIvKfrehk2g2D7anjf1ZxbijERVFEbJm4PQPS563Vj8vn8XX5nwmXm7lVg5eoY73OR7esQhrlIx+cOxAw7snm5LEmx+R4ufaesLWzF9sQ9XwaCrsvBr8MpthnY2+/rgXcxTzekecJkMmI5X1CtK7rWXTKNUv1+Y8EpLYQ5rJUmDQIOp0km+anSQ9v4tnFe3wKfJAWvvPJAGMKSTKPzjDzP2NvfR6l3OD4+wTnHarnEOkdnJfe1kfnJNfflRdkus0I/+r1/7Of3IZO5Upv1vX+LVko602I8tV6v+eCDD6iqegBUq6qSDnQkfipHBT44jEqjpjZMJhOUEnmJsiwpy3LoGpjNZsznc/I8Rykl0iZpQl6M45zh2N874OzsDJMkjMaj4b53negLa0S6oX/uq6oaJB3lX3kG8zxnvV6LGV6e0TWWuqoG35LxeIxzjiwTM7n5fM50OsU5S+daRtkEazvWVcVyucTaDmsT2ralLEv29/dZrVY8efyYt978Ma9++g2s7Th69gzlA/uzXSbTqZAtovdXH1sN0/eV+aH/d5sYsf2+7Tllew6By+Z2V7snPnwMfMTQ2Rq3V4/j6u/71/puj/71bUzxurnp42yfCBwWLDEMgONVSnYIPetAxcp0DFaDuFgHvFT+5EMy0fdVk3i+fYo4JAxBRbaqOKG3LtAFw817L5OV44GZJFLHnqePPuDpew+xdYXRilE+jsAidG0Xze6ikHuWbS6kNjRVjXUe1WiyRADLNElloC4u2NvbJcvSwRBA2ud9PG8dQS3RQB0AsxiY9qCuMQl13ZIYQ20bjNlUabavZV+N7GUPYGN+dbXCHJDAbahshOheG6+h64MFRIdKPpuRJKKZpqN0hvOOt773XUngTawMayjyjCxNB93CrgtieBJiCSC2+RiNgL7x29SAAIQIGjrRiYuGFMYkURtLQMLr3WEZFmwX2Vh9O5MPXZQlSbGdsLJ6cf9t5mrTNDK5mc01chGA317ACUGCfRSJSbBIVbeqG8qqYnV+IsBorELH4flCbM+vVYrpzh7/2X/xd/jb/7mL98M8V/zxwdE1MUH1DtS2jmHMRId75bdLAgyxs9qqWg0TLCgV0CrBJLmASzqR/UWpGaWjId2HndOAFnna9ZxmNcdkOYN5BfIsiAFmdAc2BtXW2LomMZrRaCItMFoRfJS3UAyi/NAXU/qOhh7wiUwBhM3QtQI+V7XFB81ytaac7XL48n2yRFNOp3TecHB4k/F0wrNnT/itf/k/kKU5s/GY4GqSJGG6d4M032eyL0ziAOw7L8+ISvBNxfzsiKcPf8J6uaRZnhGaGoNUdo0x1G2L95oySZnsHTCajhjPdrj5+qcZT2fcefAKumu4OHlKfX5CsB3OO2nb6VKSpqVeG9K8IMlzvMtJbYkyBpMmmCS93HqoFcFo8DLf2M7S2Q6lDePZDuPpDjoTQDifTEmKCTqboNIiAkZumB9dvE9Zlsl8ChA8i+PHrM6PUUoz2dlnsr9HNh6jdb5huTiLX1xskrAgLJO//MX/mJd27/Dw7BF3d2/xpZe/QGpyal4U12UYAI/nXouJj1aQJhzcvo0xGS+//ICn7z7ENTW3H9zjF37lz/Lf/jd/j66zrOuGqfcyZpxGO0NbO4FkkoQkFafhs7Mzjo6PqOuag/1DZrMZe3v7jMZlTBAFpNdZys27d7nz4AGj6UwKQyoh6F6tL97JoHt8TBIxNUwf8Zd+8142bcwDaNarG/Wa8XFpUSECRkiMsbw45btf/zq0LeMCbJKSmQLfWXxIKCcjXAisViuC69A+oJ1o0z959kzW3uBJnMKgUUH0XbWJhno+oIOK5+Rj10FCUNKxQgS4+vigqWu6umO9qrHOEaIxYNd1NF0XdVQV3kHbWt773W+yXq3EFDNNyYuSaTnCO8sXPvdZvvvd72JMgslygtYEk5CVI/KiZGdnR+Qk0pz79+6TJckwcvqZmeGaD4NrqOGp4Lk4PeGtN9+kbWrGZU5WlOzs7aNMjveyJrTWo12FaxpCZGvP52uOHonZrzGGPM2YzWYU4xkmy6RrDOnCMANALOxVOYZ4/2O7dB8PvMjgsDwLG71RWff0AOQmJiXoK6tzvFFSkHXD8N+OXUyUaPlwNDhsfd/2tZOgZUg2dJTqMonozOo+BvA43+JbSa5MkqGT7MPO8sqhe1y7hrbGdZ38TpgIWCfyQQSFd4GqWotZbNcOyafQIiVO9QGR8pKFljYodDFidPMOd+48IJ/skKTF86QV4pjfAjYCKjJ36QMTvApU6zlP336TcZ4zms7QeYFOS5qmQ9ENYJhSmqauyafTASwLMY/pY22lzIcAvQEdYfaghHXrnYBlxiQ/Ex3+WADNsE54uvUF7fKUrlqivcW3XZTuiOaZOnYYKR2dOHy8hpuuwxD12y8BkQN4aKQNugskWU6W53SdjcC9xVuLzuD+3n3+T7/+XzOvF5RJwTSbyud/Fqr6c7I57+O8ePl4N3Di9qx65fUALnjqek0gMJ7N0LGA2Ov979885JXXX+P40ZMIEglrfcitvSPN0i127xZIvPXV/VrZAzeXWK0xH5LXJM/8KA1NEMDKq75YELYMmM0lMPISS82Yzdi5BlDXQumNV24blIHIIBsAXhl3wlL06nInsay8fYzgLx+3ia9tvX8bgN5cH9H4DRDzjljUvTJVXsfwuw4s7n931fxpk9PqYe5PRkba7a3c66ZpNtI0gxyFGUyxe2xARcDYmES6dAcwSK7okDcPHbDiYZCmCUmSDpJWXdfRtS1FIbFzZ53My9ZRFKMImse1a5iYrh/nL8q2PdSvY2T+u91k3QE2RUOlwUs39vzinEePHkmxDcfx6RFlLvelC+JzUZZC7vDB8tJLdzHGsFotmM1mjEajjdwJgcRouqZmMplgUkNnO7I8FfO5aOw2252xqlYUI+nCbOP4SNN0Q2QMejCg39nZIYTAcrmkrmuMMUwmM5bLJc45RqOR6CS3lqwsyMuSi8ePWFVr8izn9PwsFsKkQ2e5XHLn7l2W6yU+tegkocwLTo9PMEpHs77oO2M7MVY/2Of48WNeefVVunWNDl7k7nZn6DRBp8lwvbXqu9n6MfzhJotXO9W237c9t11dk68Cyx+2fdhavv356wpo14HG22zhfg7ZZn1vf98nLfJ8InCYsOEPXL0oG/BHS1sSHmLruXdOkji9CQl8nNT7X3jvBoH2yzdEoyMAvO46ytkBh4d3RFfyCnC0Xi559PBdEu9ICHhjUImhWa+pVpUsNE4EtZ3zQ/WibVvqdS2DAmELNZUjSRLyvCDPUsbjEpMIW7XrWjYrs4CcQVZmlJKWDtsJsJvGhVSqH5YiL2ibjs73ILDosfTOj32VtG+Thk1ldxv07BnH8rMnREkGpRTJVptPiANm446KVDCjDlZiNDrZ6K7d2J9Ka7zSWy18DltbgoIsyymyNMqDJLjQ4UNHrhWJjmY8fXWsBy7kRkqFVkly79CRGRZ1NP3GoGA7uOnHmg9+qAr7XkMreBwiXeG62L67dY0u6UHFIWWMid+lh+MSoCE64gYEaNcK3NbD6aFazKWdMM37U/xItsfP13YdPCzAnoz7y63q8rqnq9cQdXXD1m6GZ35Ad66IbFz5ukEyZAi44hu0wtoWZ9coneCsaBKmeUmaj3/m+UgC3dGu5mglQZUj4G1HvV4Ky6c/Vu/IEsMCyEthsjZNi/VO5hkjAbvtHCYxgwmPj8+RMfrSRK2UtHo5a6mbBsoxs90xNhjufv6X+OJXv8pkb0+AIut49M5P+d43v87F8TF37tzja3/hL5KOCur1mmq1QCnNeGcPow0ueOxqKUGgMRRlRlMtOH3/XU4+eEhbVdTVmq5rUIBRosGO6tAmYTyZUZYlxd4eOklQ5Q7F3g10mjHdPWD8xa/y7g+/zVJD1zRi4BeNHJWS5yRpW5I6papSxuOpmBPZVIx4jCHLMrRJIxAmQWlbV6xr0arNypLxzg7FbI9iMiMbT8nGU9J8AsrgvaNtmthJ0USGhMOuFig3RZdjXLXk5L2f8uin30fhGO/tsnvzNklRiGGGyeI64MmKkvXynHq1ZLRzICPYe8bpiK/d+2V++RXQQxv2Cxboqu2jvn7WKbOS+fkFSmlMlmHGJa+/do/XP/NZFIY/+5d+yL/557+B9R2d6yjyCXXTsG4a8rwgzVKRDEFzenbKu2+/y3q1Zm9/j939Hfb295iMhZ2Q5zmz2Q4+zbjz4AGvvv6GsMyMxjovhkixYKRjwaeXhOi6VuSd6pq6qaPRKDRNQ9e2UuhrW7RKhpggSWLXktoYUIqBiyHPC3Zms1i40Fw8ewq2RUWmTZ5mONOC04xGo2iYkdJ2ItdhbYvWpRSJvB7WGq21uD9fYQxAPDetBBBRCp0IK1oDOgirDicgcNNa2sZSNx2L5YqmbVmvK+qmYbFcxsTR0LaWs9Nz1ut1/G5puevNQ7qm4Rvf+Ab3XnmVh48+kKLtdEI5GTOZzRiNJ2ijGY2nPHj1VSY7+1HiaqNhGwAVDeWcdygja6MOwrlenF/wnW98k5OjZxzu75HOxty4dZOsLGUuImpYGo91lvVyycXpKavlnKZz3HvlVUbjGednZyyWK46OTmiqip29PQ5v3WS6s0NeCJgXdA9EEXt8+6LeJjC/GthuX/8/3QTvj75dTTz6TZbUnu206cwh/v6qVt6l67CduGyFx5dAnJ5FoqSca9KcJCsicOTxtsU2NQSRTVMmlfi8B7WGxCli3PHrB4OaIDJVNniCkdZu39khFnVOOgiToiA0awiezjmC87FrzuBQBK1JgDRJScoxu7fvkU92Ge/sy5oWVCwefwg4d+W6ynWRcVvNz3nvrZ9QFDldNcdXa9R4SpoYyt6QK01RETiyUbatKMso+7FpZ1exGDRMy0Ns2BsgI3FxkLyoj1+9F5anLkbC1A2Xj3l7zFtnyXT23DldvvcSD7l2Rbs4patWKB+wbRe7ulwsNmz8TzYJqfi5KIim4lwBhntgLibPWgvOpxQmMRR5vgGpUHhnSbwjKM3IjBlPRvgIQL840DBi5GSdSG6wnVxvo/kfMg/Fyc1aS9N23H/lVZnrI7GmJ0ednpwMsm6+Z9RB1JI1IluiN/IPWvU64Je1eftC2jYocHWu8H6LDMNlaYTrGGl97qOQzyWDlODz0gtEgLoHJp8DXZQauqB6U7pLxcr+D1EjNHYab6+9xhhs18sUbu5Bf64mSbCuuzQv+ktA6uYh7YFobyVO8PJUCwGpz1W4voN3+/pcx+jb/s7tPLT/kyQJqlAUrhiewatzubw3ufQ9V717to39+qK53GMphKPAWenG6/fTa8mOxyPG4zHer7ERqF6vVowj61JS+djBS5++vShP7vMA2/b/r96z62KJ5++52tTfPu4xXPO7wOXvDLG73nuP9p4H9++jtebs7Iwiz7hx4yZPHj1hPB6LVrUXb6Qsy8jznPPzc3Z3dwZgsH/NO0ceJRJFs7ii0IXIJcWxVBR5NEW0Q8GzBxZ7Y7leb7svkrZtK0zmKFkxnU6F6BC7TwHquo5axHsoDMfHx4QgrOKerJckyfC56XRK27ZkaQYhsLe7S7VacRY7FPpx33//KLKi66rGNh3BOYosx6QJeVGQ5JkQNp3fLMtb9/6jQNLr5sH+322iQn9M2xrkHzoOPgEo+3G3fr7fJlVed0wf97yvbp8MHJbSl8zk14DDSqlhUh2cgyPhUMeFcnty3uw2GpIpAVtV3/ZlJGmqO4tViv2XXmE0maFINstxAOc8bbXinR/9gOr8gr3ZDJ+mFGnCer2mXlXYtqXrWtHUpTeB09R1DYgBQ18lcc4Pg9gYzWiUo0zAJIa27VAxeOyrfF3XyoIXJMBzvV6a0XTOijZg08jDEAPoruvI8wxUGIzdkiQZAoNeb2ljkHYZlIJN9deHgIqyCZcrDHJJe7mHRBuSNOojJwatjTiod/5S1UKSEyuMJi9JRh9IOteRIKZz3ihefu0zNG3L2aOHaMR5W11ZiIfFj940BIq9fZrlgkQHiIGEHhzWicCcmM9leUaWZrRddSkx0TrZsEz7yd6L9msfnPSMDkKIjsBuKALIAxUr1UpLZh+EDWCUIVPSUuG9k+vkLNZ50mjKFv4EHvg/se1n5NHXL/qi0hqI5iqhb4XpWf9RD3F492ax681YQMCmvvgAMi57QNr3Otox6UyMBETOekxqY1tm3H+AoIQfiA9gPTZYgq2pqiXj6S4CaQuIlGUZQSvaVYNWhiRL6DpHUhRo16GCJjg5r82YjW102kTTtRVFWchYCcL+UREc7d3PbTbhU1/8Gvc/80XSrBCpjKDwyhN8x/LilB9/+w9YnZ/yxhuf5cav3QWtefjOTzh65ye0VcW6s6zrjv0bt5nt7aMSQ3A1kzIl8Z7Zzg7TW3e58cqnKKd7nD59RDU/wzVrbBefVeQZT8sCXYyY7O4x2T9kNJ5RTCShDl6Y1Mv5OXs3blCksL44Z32h6bKUpjKsVmtaZzGdw+iWJE3p6pYkE+mPJM+lddY7tJHnzFpLV69Zr+ZU6yVFnjPd3aeY7jA9vEk52cMUY3SS47xntVpijCZNE+GB2IauEcMc16xZn59gypKLp484e+8tmvk55WTC7sEtTFGCSYYCoTZG1hmToE1K17aDjpsigPZxfo4gmYq1vRccXLq0KUWRlXzj+7/H3Tv3KMYjfulrv8J4OiLoBI3hP/2v/gsevvc26/Vcnl2tKMoystdMvCaei9Mznj56jG1a9nZ3OdzbpxyXTKZjslSM58bjMSbLeOUzn+P2Sy+JHEycayXHE+a2co5queL89IzlxRnOO06eHVFVFbazUR4ITHRalqIi8rvYiSN1VzNo3A7Bmo4JYpDOGa01KpFCQRqLlM6LWU9iEkgCTSUtci4yEdo4VpQS5nCqDdorsjwjieaqJq7322uPUYp6vaCq1sx29zB910TQOOuw3tO0jqZzLFYtzbphvapYrxvmC3EtB5hOd0SPvG44OT4RsBlpqS3LkoPDQ/IsEx3C/X2eHD3j4ZPH/OW/+Tf58i/9InXVUJQ56/WKx4+esHdwwL0Hr4oRRx+LXdkCIcoFiPRU8J5queLo6VPefettbNfwZ375q0zGY1RmyEdSzCGA8p5cKXzrefTkGU8eP6YcFbz+uc/hlGI82QGluP3yywQfqNZrTp8+omtbzs5OCHjcmWc622G2M4sMfyD0cgLQF5YvD+8PAcRekK0nCm1LwUhIvFlR1dYLPagoj+RlA6nntu1w/EoCM+ww9MVg8dcIQWQFsixHJZmArCGIHq1t+1CI1nvGo5EQE7wbxg3E2N730lyBKKCNVglpuUNSOFxX01VLbLXEYkhMTpEXBNvRrc9ZHD2KnSuK1oHKZ+h8wu7hbWaHtygnM9K8hKhL3EcRQkOIgGt/sD2YwVapeihiB5q64ul77/K9f/s7vPfmj8C15EXO7u6Mvb1dluMx1dkxxWRCMZ0x3t0nH++R5AUkIqu0gaMEUBWN0j4OihIynfgcONtSV2sUkBhhQbbVkrZa4qwDrUmLMcV0h3K6j8lHEnvGotegyq4UWZp+yBiIRxTJKsG2NHNhDCvX4W0HwUe9Zo+3NmoiS1Feew+ui4xWonzfZavWvgCg6ItMAsorJcmp7aIJYFCoWNCTLhCP7nO1ENDoWDT8meHoz82WmCildWUiHXKO/tooLj3cQQnYCGKqe/POS+RFIdctAkHeOz545x1s20rMmYhkoo85zaYIKrIE8kc4APTfjYwPHdfKfp3qdUKvss56CYUeVHiOZbw1d2zmkChhMBiLB1Rk+vYFrJ6FK7lUDxNsMoNtFq2P7MP+WR2uY09P3i6asTnHbYC0J0XJ/jZ5sbOWnk18tQs1ieu+7EO+QzpQwTpPkmViyms7eQYuSUWGgeE7mU7lebpSoNvOy3vyVg+oswUAb4Pz/T0ezlddBqND2AZ2QDoX+/Z4AW77e9mj6855QjD4rhsILUkwNI0FAmlqcM6TZSnj8Zi2EyKc3JP+/ioCkZU9WDf39+UPo0H/737bHvd/EuDcH2W7hNP00iZKobXh9PQU21lGoxHVcslxJaDrYrGgritAc/fuXc7Pz+m6jt3dXbIsw5gZN27cACBNU1arJXkqmFLTNGRZOgC/ZVmSpinWtnSd6KBnWU5d13RdF00QBYyWTvjnY7L+WV4ul5e0wbeLIG3bkmclk8mEpmkYjUaMRiORqguByWRCG+e/pqkxiUhizOdznPfsxGd4MpnQtFLUsFaOt2lbQl3zwfsPMUVO2zbcu3Ob2WwqfmFRxmJ77t4ubH1UHLldWOrPaXsf1/3/6li7WnD7sDF4Fbzdnk+u7nP75/4crLVCRI068P01Ap6TnPkk2ycCh4Ni00Yv0cJzlTWpqEch+J4BoiUiCL4HHsNQ5ZLPKNEWi9RvrTWaQBc8decpd/a5eXg7GkbprYJhnLSrBW9//wesz8+wzqKzhARNW9cE7+UhGMzJevBHBnzbNuIGr80lrd+6rrHWUpblADBa64YL7JyLEhkyQQuYJJV7rMOr3pxKbuRoNBoWyD45277pPSW8B4p7QLV/wPrj2v7dxrTj8qDqF/vUJLENRZEmCYmRSrQPnraTxUTEwa1oktEfk1RP+8ssybE4EhtlsAQSHfBdwzs//B67N25Rjkb46iK25ceFd0t/ZcMcFXf286dPKIpckkIlmtUhMpxhU2X2wQuAZETjeLv9JskT0Sz1Pga8jYxRwrBoCu1ezsN2UVqgBxPi/pWWoHWovgTRqs2MuGSaWL0Wl3m7ech+zhacj7t9/ImiB3u2ovkQE5Gog7gduDFcli1tnyGRuKrxI+PPJBnKJDTrC+rlBV0w3LjzgEQlmNgC17eJdfUagsV5i2sbXL3GJBnOe9J8REhSYX9r+ebgHF3b0WEI2tA0NcvTZ9C2OC1g6rBIq75FNIJMCHshy1IGlo3bMGes62h94M7nf5H7n/48ST4SQ8t+EVWB46cf8O6Pf4hdLCmKDG0C7/74h7z5B9/CdTUpjkyLdMsbX/wKxWyX7/72v2aSWg7u3uHGy5+l7SyZAmyLD5qgMqa37zM5uEk1P6VZLqTw1bas1nOSpGC8f0Ca5uzdvEnnAuVsH5ShqZa09Zr1/Jzp3h7p7m3Sckw6uSCbnNCtzmmWS5J0gbMWZy1tZ7FWgL6ubmhXFSaVtjibCWvXB6lWV+sG7xzjccnO4S3KnQNGe4eMdm/L/YmtlNoYJpMpwda4eknTVHjbobylbSvq5RLfNNi25uLkiNXZKcV4zO7hTZJiBNqgE3Fs7hMPF0JkTmu8szgXtYfFtx6C6UdjBEp4YZ/f7W14joO0oH/nW99kvVySj0Yc3r7JzsEeO4c3ODy8QTEa8ct/9mv88//fP2K+WGCSnNlshmtbbGepVhWT6ZSnz45YVTW7e/vSpjaZsDObMhlPSLMckxWkWcbrn/ks+3fuimZ4TI6996RG4V3H8vyC999+h+OnT8WYzXd4b2mqBttZ6rohMYkUj+Jc7JyNRnfSdm20GZKtNBo9gRBNjdG4qH+epalIO0QNUZ1k8TkOdJ3FdRZvXWQh9IlWGNya+3VFWSmegphsmkRJx5CSNTt4kbu5mF9w9OQJD155RSSprCMEaKwHlaJ1ijcGSLj90g2Onj5jVXXo1LF/eJN8tcR2HbYLrJYVZ2fnspZrTVEUjEYjJpMJWQz4xuMxJk35T/7W3+Iv/Pp/RDmd0JvSAOwrOLz9krhFa9Gv7ZN1tuI2YYJJEqlV4Pz0jDd/9AMeP3zIzmzK7t4ed+9+hunOFAKsVkuW1Sk7uwcyrzmLdp5n777H6dkpr73xOjdfvkOIMdP3v/ddnj17xpe/9CVCCBw9e4bvauqqYn4x5+Jin9c+/Wm+8wff4u7Nm9x9+QF5PmJYZ4YC4uX1aTs5eR68+Dnf+vlmC8QdANbhPWEr51abfz7GMr3Zd1QH7tGZ/jptfR+ADVZkxfIRSqcC+jlH06wI3or8QVzOTZLhrKNr1yRpjs6k6OC35bviuHVdg8KTJKM4vyYk2YQkGxNmN+I9DahoqGzX53TJRFpGixH5bJd8NBGzUrXRM72amG7i1D7u6MdNkBZ021Et5zTVmrPjp1Tzc+qLOUdPHnHy7Cm2bklCJ5IabcvyfE5bN2R5znF2xHgibPydg33G012KqXS99KxJYmypAG8tIdhhDmnqNW1d01Zr1os51XolHXgeEg1d2wrhQkmHHwqK6YT9W3fZu/uAcvcGHhONBoXEsT0mno/bwuZf76gXJ3TVBb7rUFHuxTkxMgzRmyQ4C14Yhi7GQEku44FUoVQq/jJaD8BwL8mhNgN4yOOCEwa0STLSvESZdBh1/ZHr4V5JPHht1erncBt0dYdldpt1uMkn5S0bw7Uw/C052ssPXiUQc7U4Hzx++JCHb72Nj23bIOCv9wzMOm0uX6cQ9weXQQXU5ufesPyqZnuIz8l2TnZVm3J727zPXGpflnP3KCUSQAOgHJ9vOSbYgJhRckJrupjf6phTe6IUk5zR8N39MYm+OpePVxOJS/H39KbazxtFbYM6G2C4l3iIM6NSzHamOAVtIwbbAY8JCqXDcHw9yGbj/RpyHsWQg/stULq/Vm3TbPLaLeKU/F/mrf73l9c2AQs3QJEXjGQLPPKegfHpvcS9vb5xiFKOzhGBdBVfS3FOSHFFUZCmVYyJesApHlavpd4/y8M0+2I8u7D9vG5ii0/y2ec2Nfz1x7bJs7Pl94BitVpRryvKsuT05JTRSDSAy7IENE+fPhVN31I63k5PT/nUp95gPp8zmUyYz+eMR2JqWNe1FAEiEziLcqr9tbG240tf+QpFmvOdb36TJElomubSHAJEopyPpMjNPCJEqY48N0Oc3ratGCG6MADO4/GY8/PzocOo6zqqqhp0kHd2dmCrODKdTgGZh87Pz1FakwN7e3vDdauamnfefpuvfPWXyPP8OQysf99zq+Y1892l+7H1nufijyvA7Uft49Icfc0xXJ17r4ttP2xf20B8H4sptdGHv3T+V4pSH2f75OCwfFv81pgsbb8HJEEffrGpHoatOGYzMSOLnZLkXQA7WHWBkBUc3LtLUYxQShIeFXfpnaepK5p2zaOH7/Ls0UNoW3YO99FZJsFRnHzLUUmWpiwXS1brNZ21ONu3dsmkCkJ57wFiEAC4qiqyTEMnred9YNfr+RBU1CCG4KVKHCLQqdksis5v2KwhiA5QQDQxtwdaP1B6mr9UAOKDGARo7x/SIdjuQWM2A85oHfWhxJHSxEFRVS1t1+GCH4CurnMD6Nl/ftuN1kXdu8ZqjDNYY0gFMUV5z+O33mI2LhnlCS6RBVWhxN1SbSocKoALDm0CY51GgFFYvFerrf1mjCbLUtK0v8axzT8Ik9s7R9O1lHkuGjOtmKqE0JszRGbHIHfSg5cSHPdBbu8Q3gdWJkki89VH/8TLwccw1l/A7RNVkPoJEhCMVsZcv58PmyQvV8CjXpoW7aB+vvAhYDJxVL04forylv2XXhUwD0cIG/Mz7x3t+hy3XtLZmnq1pF2tSJMMjCEvC3y9QKsMpaJxXn8w3nF+csz89IQiSzDaYGPWMwR0w6Qr46C/34NhpDZxPAjwZT3c++LXuP+ZL4ghZtiewD3L8xN++Hu/w7OHb9PUFQbIYoIlABWQGEgL8vGUZr3m5dfe4PNf/jKmq8lHBQoxAdNazG2K6R5aGTxgyhHj6S6uXwytGJ0kJsVHEAetyZXIt6yXZ6zPjmnbhnwyJZ/sYpKMbG/MeOeQ7sYd2vWc1fkpo8UFdr2iWS1oGnGX7RNA5xw+ViqXy2UEEgT10ElKOZsx2z9gfHCD0d5NRjs30PkIHyTyUcGKq/l6gWtW2KbC2oauaTAourZmNb+gWS7RqiPYjmJUsHN4QDmbofMMk+axqCCMteADROmBJEmonKVdLcjKKbat0GmGVpJ8vbhP7UdvSimSLGM8LikSTalg8fgJ50+eQPEWt196mc99/gvcvn0H7+DsbI7SGRfnF3LNVmts19E8fEhrHaPJhMPbt8nSVMwt8pJUZ5TFBF0U3Ll/n8O7L0t3DzIXiBaqplqsePcnP+Ho0WNc3bBczqnqGmcb8jzDduJ2TFA0zpOabCgae+2xVvQspc0slUJdlF0yJo3rb0eSGNquBjyVic7gOkF5RZp2JIkwI/p2O5A1vWu7WHCFsiyipJMTJrsxZGmCNpClijQRsLhf80OQgurp+YLy4GUqPWI222NSlEwmY4rRhKwo8dZy8uwZH7z/Pk+ePqOpWvJiJEWauiJJMmxnWSwWXFwsaJpmMBFJkoTd3V1hC0eguCxLfGJ47bOf5dHxEfcmY4q+gBvjqbJML43uS3lczI2UiprqTc37b7/Nd77x+/iuI00N9WrJOYFbd++wtqIb/P7D97lz954AS9rgvOfpo4ecnRyjsoSDmzc4fvyMn/7kp3zw7rvgHV3T8q8fvo+wSBVBI4gHivX5kpdfuk+Z5fzkRz/g5PiEz3/hK5TTWWQuXmZL9Ne9T65fzG0DMAy/uZowqM3c1K89SW+U9BHrbNgCT64mMhvMRYHpWYmeophi0kKKOoBtK1xbS/F9c8QAJEkmJkiZsB77+Nj7jbZd8AHnO4xJt+IDvX0EQ0dhbNxGa002OeT25DAWauL6MLQiPZ8cXXfuAJ1ztMsF89NnXJw8Zn50xPL4SAqqTlhGaT7CeMe4KGlV9KwY5B08Td3gOktjaurVinye09ZrluUJxWjEaCaJqtFmSDbbuqFtGsBGoNDTNS3eBZqmZbVcUjcd66pGezGG9d5jg8S14tvhyIqc1dkJ50/e5/ClV5neeYnRdA+dFDgnD24POF17HQAdAk11gV1fENoK4v1xERT2tsO7LgJf0t1I6AE26YpDSVu+CUkcjgGihMEQB8ZY2TtH8BZvO2zb4AMkeYnO4rp8iWm1lYz35/CCLMObuShIPPpc0r6BgS9/EIhr4mg6Ix9PwYinRm/Qenp0hPdSpEjSDIWKOaIWco5SwtpUm/vfg3dDCh6LQEoxrE/bx76ds3i/AWL789iwcK8Hhk2UiQlJLADjIxC6uRZXGW79nL2dZ7lolCe5qRlIUvFDA04QghRf+5jiErYQgpi+xm7a4ZwGwnEsjrE5rv4ctwHxzXEzxPoX5+eEIMM2NUaISVpkD/XW/pI0siiDTJaqP24lEj3bpNptJmX/c38ew7n2OUfoO5TUcF6Sf293LPXeJ1z6fG883wPe/fMmhK4Ua3tW8eYYBECS+5TEXN4Y6bqSeXirgKNil0TYGFa+CNs2uLdhvP98HPtVsLFtWwFM2xZvRaqwLEdUyxVKGeq6pq5r8rxAawFge7xqd3cXpQQ0bZqGPM+HZ13W+4L1es1kOhkYpj0JcTwuUVrz6L33mE13BtypKIoBWO69r/rYtJ+jeqymf6a6Tpi6jx494vbt2xwfH7O7u09Td+R5zrNnz2IxIuXk5ASQ4+vPZbVa4UPg1q1b7O/vo7VmuV5z+/ZtHjx4wOnpKY+ePObs7Iw8z8nznLZac//BA7quYzqbURQFOpr7DgXJoTp/+dnr//0o/KLfttm3/WtXAdiPe6+3t+sA6G3AePs7r8aB/c+9Oej2/nvsbvv8rq4HP2v7ZLIS2yfVT8JX8m0FpGmGEyQQ2K78RYBYKaBnG6kBGHY+0DlPPhqzc7jHaLZ7eZKiX0MCTduwritGozHTnT1Oikd0ITAyOaSG2c4+T999Fxc8CdIapBPRHFyvVxIwDdfJ45zGWnfpoiZJyXq9ZrEIzHYmONdgdAJKtEzEzE30iTxiMhF8XDx7wyZj6CKIrHVCCFETKgK6WUx2gQg4y8ObRIDTB6LAvIBTzlq6btvBdrOYOGRhS00PCkeWlFG0naNtm2gWZS+5xvbJsyzGokMbFKiuwyTC2hUgGax12FiZ1Fp0iZMkoXOWqg2kQZEmRjzbglxbFY0vtILgFV4pdDCxKOBFK9YkwzVRiiEh9wTSTFOOMuaLDWW+s3L/tDHUVY02UhXrOotz0eQjOmTKQivtBWmaRSB8exGUhX3QwYrBSlM1ZPH9GCD0IGcsbPxhH54XaYsRVN/027e/Xpuoxip8377as8VDABXbKodg1AeUSVBJRuhW5NM9RqMx6/US09SEAGlWkOZjtNKcHz1kcfRB1MataNYCZiVaWDZFluGCBZVQjMckRYFXgW69Yn56RNvUUpzoFCrVEfR1Q8seW+fUF3l6gz4dIvMQkZRQWc4rn/5Fbr3+eSlahZ4x4XCd5ezpY/7FP/j72GpNlhhSxEhCGUNixOSyaVu0TiinMyY7M4ossH72Pnt7+2iTMNo7JCQpQRnKchwBaKRdtROdZCBK70QNs8gY1ChINoB1CI71/BylAvl0xs7hHbRO6Koly7NjmmoNQGIM+XjKeGcP7x3NesH64pTQ1nSx+mttN+h6E3pB/ISsKEiLgmK8w2hnl2Jnn3y0B0bmMRU8rl1SL89oV3Oa1YJgLV1Ti8ZsU+NaS12tqNdLfNeSZJobt++QjaYUox1Mlov5UJptrQsy1lRMetOyJJun1OenZFkhOslpDnlGr0Lw78+2KdSAFF+st4ymI0ZZCUBWlqzbhsXpCecnJ7z31tvs7+6zXi54+vgpxgij3hhNkeeYNGV/d5fpzi6z3T2+/Atf4e0336TMMqazGWQ5dx+8ws2XNoxhaVfuWF1csFoueOett+iWK1aLJdVyyXK1QhuF7Vp858izgvWyIo0A6dKuRbcf0cFN0oQsz0TGp5UWN9t2FEVBoN1K9MTlOcsSrPVoHXDKo4JivaqkRdQ70iwjeI91onFdVRXrdQUERqMRaZrgvRN9R63wwVHmBVmeYnrmVuglkQKtD9x97XVe+dwvkRcjtJFW6q5rOD1+xpOf/JTTZ8+iKa+n6xq6rqVrO+pqjbOW5WLJxfkFi8WS1Wo1JHYbgNgwGY+l2yfN8dpw98ErTHZ3ePzsmXTB5IUECGpL4mgr31axiN5rqffJdtc2/LN/9hs8e/KYrlqzOjtnfn5GMSqY7u7y8oMHBK1ECuL4hJdfvo9SGpMmVO2acmfKyeKCz3/2c5w8O+Jbv/t1uqrGLpa0bc16vRZpp94zIRaaR8UInzu+/j/+Jq99+g0OD27w7OlTvs8f8IWv/ALZaBwluUT/dGihjdd/4BZ8kuLmz8XWA5/PTz5D0A+XCoySw18Geq77/3Nfozaki/47tdaQZLKO+0CSFhJzB4dt1rgoI0HPDuu/1wixAK3QOmPDCESIF9bKc6sDtnNS8HAtXnimlw4sqA05RAcwIcYSff4QevO5WMCPTKp+TwMzMe7DBY/vapbnxzx9500e//RNaCrQYiKZKQgJOG1iDC1mP2VZRuY8w5ywDXx6J1rJEDg/PqUpS4pyzfL8fCiuKKVwiOSAsw68p+0siTF0TYNSmq6zLOYrLuZLzs8v2J2OyBKJNbK8EMkak9A2LetlQ716wsXRKRfHx+w9e5/p/k127txjenAbjMyFOppkP18B8ri2wq7mdOsFwXYxTotstDjGNGJO7W3PcPUCPkdJEds0mKxEJQzr6zabH6KEOV40jL2lrVYyT/tAkWeYJEWZhCRKlWyPAwHv4j5foHVYAMsNgNmnvfHVD/sUqIC3llu3bg0arvKSx9qWarWia1phxGU5SoNt7JaEhADzPatTRcDjaotzD4r2xJZtvd8eGO0Bsg3osNGk3AYo5M8VHUs04+mUarmkrzKqa45jw2btE2sVge7Lc5fzG4Y1QJImA1lL5Cl6qb/nQRjCRlsZIplnkD+Il11vzm37+C63kge870H2uN7E0tWl+751fbTWQ3GoC17kJbNc7k+Ua8NZpBbqLx37NvCzfV46djn2l7L/zv7e92Bt/9r2tb5K1JE/wxkTgkhueuely4iNH4/k/CJfuV6vGY/HjMtS5l6tRYbr0n2NF1fgdF7U7So42G9X1+brQLz+fcFv2PvPPf9XsLBrPz/cYymcGA1N1/L2j99kOZ/z3jvvsF5X+LZDqQ1IWJYlnbVobZjNZoMkSdd17O/v8ezZM3Z2dqKERIZSDGBxUYjRHEYNkqVJkrBarSLJznJyfMzNmzdZLBbDXJKmaZSfsFFy1ZGm2SBbYK1lPB5jrWUymbBcLjk8PBR946JgfnFBno8GHw0xzlvFLmyZp3oS5HgyIRAGIFxpPQDS77zzDhfzC/KiGABm6yx/9a//dSaTKT/40Q84Oj5m/0C8ZlwQHE5kYzb5/VXZnI8DDF8qRG2Bth/Gwr0K9m7v48Nitw8DkD/s/dvn0ktHhBAGvOtq98KHnetHbZ8IHB4qcpsjvHZtHNolFEPAO8SdETxCRxAJRec8ThmyyS6HuwckUUT7MjDc/yvhSp7n5EUOwN2X71PkBSdPjzg+ekY5G7Ez3eG9t9/Gth11txa90MTgnWc0GgFQloa6bmgaafUSGr3c9FGRkecZe7tTFquKtumZvAFjAtr0wvx9xVaOrh9APbW7Z+Rqs826iMyQNAUFzkvFRcdr5boO1w+uEI2wnOh6WSuOwLKmafBBKpZB2Bk6VgCN1rLgqEBnHW3raNsOa70wp50fjvWS/lQQ0K65mDPOM7Kod9hr1RhjpB3PbyrDWqmoMiCBg/d+05qLxisXwfP44NFr/YrZllR55M5q0y+KfeXVkyaGyXjEWTqnjde4bVvqOmU6LqmrhqZuGE2mjCdjMTxq+4lHD0YoKkDbtAIqEF3AfRgANpGjuFyl6WFguYdX2EsvVoz7M7fn2EybVyK4cHlifT742UxISgV0kmLSTJglzg3XMYSAD5BmUrXEO8aTGflkh3wyi2wAF8eGYXl2gvcdtfXkox2O5g2OktHOPk1XUy0XJFVL8I56dYYKTzC0GG3IswLr3fDsOSe6YXmeb85ZBuZQmBgCoWiU089CziTMbr7E3dc/Sz47jG/0hKAJ3lEtT/nxt/4t7/3oB6TBkpXSLhO2ijhaG9IsA63JipwsS1HKU073KfdEikEnGUleEIhGc4BrK86ePmJ+9IR6cSHFIGsJCMs/L0rK3T1mezcpp7sk5Qjd40VKM9u7QdvWjGZ7ACyPH3PywXucPH2fernARhODJMnJRiWT/V2mewfs3b4HaLpmSbOcE9oW62PBymjSIkclaTSZ0phyynhXzkFhCHhC01AvT1meHdFUS/CWZr2mXq+pV0u6qhpaXoWRZsnSlNFsSj7ZYTzbJ+gEk4h0gI/3TdPfrH7yhSwvMVnK8lwq09qkYDJG0QRveL7/2J6af/fbZo3fTg4Uxajkz/3ar/HeW+/w4P4+Pnj2797FnxyjlaZeV2RpynQy5uTpY/YObuC9A5VTjkrG4wnldMJkd4//4D/8j1BJSvAdL732gGa1ppjMuPf6p5js7IDuy0XCrunqhvffeYeT42c064rF2YUwAZx0x6wXFdZ2tEmLG0mx8vjkGQDO2djq6AYGRVkUaKUEsE4SjNZ0TUfbdcOku92KmSUJWktRMUtSlEZaukMYOm26ThjDdVXT1C2T6XhY07RWFEUedf+TqKEmhVLvHTiRiQrasGwst+/skhSZAMMojp885g++/Q2q5Zwb+/vM8oz1aslyJW7Obd1QrWqapqWuG549fUZVCSu/KGSeGI/HlGXJaDxiOh0zKseEoFFpyr03PsWXv/qLoBV7+wdkRT7MV/28KxejHxISE5itNtG+qGcSw6/+2n9AkWf4zvK9b32bb/3e73B+foa1lqMnz9hrO548esxoNIq6m4b1qmIymbG3v8+NO7dZHJ/xw+9+j/ViwfzsnNV6yXx+wXK5HIrcSimcl3it91SYzWasFgv2b+wLYxtH21Z4rcmKAqV6AELOwzlZCxSXDZRepO2647283m4SGDFl1oOfws/atuG7iHVEQDUWvmOcotMcExe4YBu6ukJ0Yfvv7odPAK3IslHUvpVv2T4FhejZ9cefpOINoLWmayqSLItkiP79ahh/Qclg9D56lCDF+bNnD5kfPWH/zkuU01k0/jX9J3G2pVrMWZ6dMD9+xNEH79It5wTfIh14emAoe6QlW+MlRo6GmH0rbt8RlMbYt9d1Fi8SD9YBbSz6SMwtsenWvKcVPpJE+nvsrRScm66jtY5iNkUtFqQmoRwVMs9OxpHdJWB0VVWsV0vOFwvO5kuOj88py3fYvfkuL73+BjcevEE23hGZHZNwiZ4YwNuGdnVOt15guwaCyGDhg9yDBFkno9mfTA0hSrZJod5bO+RbKspdbAPDQ6wXW9V91+Kbmq5a4V1HlhVi3qcF9N6Mm35MbkAmyQNfjBXYRwQxSIWbSxG/CpuH5momoBS+s/zwW99BZSVf+dqfFaA8gvlHjx6zvDhnfnHB7t4+aIVzFu8tSZLKdQouEi6kSNPHLT1QuR2L62u6Lq/THN7E65vYoTfD64Fh50RSafgOpWhWa9H8DpfBkx5E2gZQ+t/7sJnjrjLWtnMHH3NaoxXOS+edLGGbgmD/meF8tyQzepCtf+82OLK9Xc/668lrcY5INqDoVebg9jH019RW60EqRHxTNkPhOiDqKnAzAOJDYVBfumb9IfTA7/b+tu/n5vVIyImdzT02IX8km23bDtC0bU0TDaF7wlrfMZykyfP0J7n5l4xOf963P644YQDk/da4UXI9YQPK92vch4F92/dT8lHR8U/ShPcfvsfjDx5xenSEay1t0zIalQQt82Y5LhlrRYi1lTzPmUwmwqBtG8bj8SXQcDqZkBo9GMlZa0nz9FLhQp5fMSwMHsbjcZQa7Yb39SzjzbMeZUvjWFmv16Rpynq9km6/LIukkwbnZK6y1oqWsrW0bUvXdXRRnuXk5IQHDx7gvefg8IBPffazvPmDH5BmGSYR37AQArs7u/gIHhtjUMZQjsd0XUdRjphOp0JSykTWKCBF5BDUpWLT9n25fk64HpTdfs91APDVz23Hqh8Vx20/ywNJc+t3/f+355MPA6Cv/n573vmkAPEfjjkcGBYJ1NYERZxqtdkCREIEBY0AxUoYr46AdYG6tRTTHQ4Pb4rm1bYZwjVVmJg2DGZXABjNzdsvcePWS3jvWCwuWJyfE7TBJCn1uhbpiE70icSEjiEx7DoRoO860Twsy5KsLLDBY5QmMYaLizlpmlGUBZ3rUEqRRGahje2024vwUBVJU9B+YKs6FwhOblSzXmPTBK2NfB45PuscLnjSNIMICCuEBSSmWBHQisL7znm00iSZMJ2MUSSJAg1d52gaS9s5nA+01tHEJFv0E2VBCEra/Bvn0Drl5HxBV6aMYpVGWrYz0jSJrN7NTUrTFJUYlAWCQ2uH7jQBT2shJBmzG4fcOLxBVzc06xVNtQBrSUMgTyQR3FTINwu7UZrUJEzGJaMyo2st3jm6tqWuExKjmEzHXCwraSdwMNvdZTlf0Kmo8eZEz9I6h3M+GvJtKn/ayD0IbkszLIRhkgSZCIuiGIzyJLZVl8bovw/b5QknDHImw2IY+sRz85l+kVQ9+K+lop4khq6utgx1NhOrjqxhSUYMRhmUTtAqQSXg25rF8ROW5+dUiwvOzy+4+/rrHN69z51PwWqxpG1b2rbi+MkHPH34kNZCNjrgxs0b1PMjHv7gB8zKnGJcRuaHx5jN898DUgHI8uxS29fG4AHISqYHt7l57zUmB7dQqTi4KuDZs6fsTHd4+taPePObv8XZ6TPKnUPoWhJjRKcwttH11dYQgrSLT8aSLO7sML3xEru3XiKgcG2LW83xwdF6y8XJMcePHnL0+AOa1RLvev120Q8MyFyWZCnlaMre4U3uvv5p9m/fRWclKENWTsmKCdZ3tPNTzh6+zcOf/IjF+Rm2jYaafQupUmRFQTkaMdvfZ7Szw+7Nu+zceoBJM5nLYxJpUkkIFYH54/cwSY42OQqFsxXV4pT69JjF2RFdXeF9h28ti8WStmno1msIjjTPyMuCNJPEvRxPKMcTsvEUbyRIQCfYQEx61fAcKh3HnElwrqOY7tDUa7qmZXF2ih7vMNHRmODFJT0M29WAZJN8aV579VOU5ZTPf+nLLFcrivGIWw9ewXWWrmn59ne+TX1xTpJoRuOSJE3JsoxiVJLnBdlkwhe++lXuPriHD47lfE5nK2a7u7z08gNMUdBXHdarFaNRiW0avv+d79BWa8qs4OTJM6qqoqlrbGdZLZZcXFxEVq5nb3ePpmk5Pz+jruuB5dB2UT84ywfJkr7lrG9nS9MUFzx1XZMkIjdkjCHRIv9QFJkE8MGTFxtzV5DgqjegLUcls9lMCqnGMBoVpFlClqUCMGfpwOZRwWO9wyvNqrEc3r3Pq69/huNnpwTneOvNN6lXCzSOnVGO9nKtu7qhrRrauqapO9pWmBd3777M22+9I6yOIhdQeDRiMhkLGJsmkCSsu45yNCItM17/zBss5nM+ePSI1z/1KWFAXgl2NwMCYjBx6VcoAfJVkoi+W/CQpHz5K1/hR9/+FgtgdzZjNp3y9PFTQoA3PvMZyvGYVV2T5jl5UQKO0Di+8fWvc/70iPnpGU+fPGG9XrFcLoZEFRX15LQZgP9+zgUwGrI85dkHj7n3ymvUVcve4Q1UmsgJKGE/pdnGlPTjOEP/PG1DMN/HbHw4M2T4fwgEdbmlun/9ukRmO16OIbZ8rzFxThSjuMQI4GzbRvSB1abwffmgNWkeZSe2CuDXJkNXflLBE2xD01Vk4wlaZXi3XfTfIkxoHdl7MmCn0ylv/u6/4vu/+Rs0zjOZ7ZAUI0bjiRACVueEtkZHszMVAiaAynNc50iUxg4GxfpSotRfzcQYTLGJ+yGSO7wfxmVvdLWdGCutSbNcmMW2EwZtzH9cTL5DkPXIRr1+b1tc17I3m5LnOaPRiPF0TD4ekcb3Z1nKLOywWq5Yrdacn55xsVxzfnrB4uKc5ekJZ8+e8dLnv8xkdw+VjVAm3yr2ODGfsw2+qwd5NOcdhsh01AkhVeCF1ThoRXuH7Rp82+KVZBUmzaRrkctFB5k7EKNd71GdpVkuaVZL2q5htj8hL0rx/jCJSIZdGbsv4mZiUWqzXUnIh+f6yvmFwNnREf/yv/8nNCi+9Eu/TJKlAso7y7PHH1AtlyTGDMBS76/S51dSyBNjc4ig6DXznsTlspM+hh3u8RWgoQcs+ufvMmi8aVOWnHRzB0OIpvFR9kerzfdcOg62CwnDK5de25ac6AsOECRPCFECMIJwV/10to9nA7A6RP9YRTO2DZCyfa8uycQp+TmJ0mRAJFR9yJoar62PSGuiNTgB0wePE0R+bhu43ugBb4CdHiAWcE50g7fvxUaOQsbVNsjUy1peBfz77l9rpdhlOyGDtY0YjgkgTATmhF14fn5BVVVChouEuf7+m14q80o+ePnfF2O7CqRv/+7DtuveuyH4xGLEcG02Uh5XizBXN++379mmoOK6lrPTE06Ojzg/O2O1WnH79m1WiwXBw3R3StPU+OAospK9vT16mb+iKCR+7tcqJVrSWmvyPGexWDCbzdBG7nPXdUNBwDnPbDbl5PSUew9e4/GTJ6RRD7gHlft1sgeTYSMhUdc1o9GI1Wo1AMHbHlnziwumUxlTs9lMjObi3NS/b29vbwCKq6ri3/7u73JwcCBF1qYhTVN2dnZEn7gsODw8ZF1XLBYL5vM53/3uH+CBV19/nbzIuWpSuQ0Mb/+5rmDVn+c26e15EtxmLr2ui+Pq/b8KQl/93fb7Pkz24eqxyzh8XlN+W/6i/39P/vwkesPwSTWHQ6CvlVw5cnpB7UA0M1MarRK86rVxpZJvnafzjrq1jPYPuXFnl7wcM4jsb+2/Zzw8D0Rtjoet94c+pPGeZrVGWU/XWrQWrafWdjRNhQLKosBZabfQMQjWSkTcrQuYLAfkofVe2LZV3eK8ZzQeSTDog7SVAQQBZZ1zoJSYaemoTeztwFwNMYB31klLnvW0EWxO0wStFV3bYb2PchRRhqKvwsZApGcLB+/FKCsx8dpJm4JRUaajc2Iq5TzOBtq6pW1bdJqQFgl5lpPlYuRlnSNpGw7u3OP46Bmtc/iqJu0co/GIzlZ0NiFNxDCoZ4gHJOnvnMZoabtwgANe++Iv8pVf+bPsHNyIGqHI/akWzM9OePL+25w8fAdfLSmylMRIQqjjApRoTZpoytKzuzdjtWqwtp9YNEZBkRfMJmMW52d4ZRhPpuztH7JaLKhWK9GWI2DbTky2Wo/xOi6EBtt1ONuRJYkcewTcrZUkJsszEXIvc0y8zjEyf/5Z+HnetoLI51+6/FwNPw+Tot5oe/VZKMLeFOatxithECVpLsB609AHEioCzGKQIotDCsKO0pokzQGFV552dcFPv/17BB+Y7t9g7859Xv7MDvlohElyVIBiPJXiCJ77r78hhoo+DGyXEDwH975H6BpcW/Hwxz+AekGaeLSGqqlkwkyiCaaTc04TjVGB1lqcMuzfvc/B/U9RjPdwDpJsJNrJzuJ8x2w6Zn52xI+++VvY1Tk6EekDryuSTHSR5Hm3ot0WpINhPB4LKHx4yN6tB5TTHS6ePeLi6BHLiwu6tqFd17R1zXq9wlspiDjv6B2MCVHoI47DsA5UyyWLsxPOT59y741Pc/u1z1BO9wlaZDTmzx5x/N5P+eDtn7I4O9sA1nFOUfFe1XZFWzfUVYV6/IjjR+8z2d3j8PZLTPYOycoJyiQQTQO7piEpSsrpLk21wK4v6KoFi5MjlqdntE2Dcx3V6oJgnbARvUcXGWmeUoxKynFJUY5QOkGZlCQvMGkuyapOhgT/Eisk/qO1wRuPSjOS8ZRZ8MyPHlMvTph2L+GDHzozXuTtw6rVKhZg07ykKCcYk7B7cIiLxdjgAklac+/V1/nht34fnRgODvfJCzFczQsZ1y4opsWEd3/yU773vT9guVzw1a9+ldc+9WlMWuD6Cx48ZZljm5o3v/d9qsWC9Wopa7wV3dm2aVktV6yXS5bzBeu6wnpH1zn2D/ZFWsVofLBopWOiFCB2mTStFElba1FKmIpVUw8taW3bMh6PJQjOEtLEUNcabx0Bz2hUDsataZoOAdMoAsNFkeO9I80M09lk+A5jFHmRDR0M1nagElZNx87Nu3zmC1/i8eOn/OCb38Z1LfiOMkvIc9Ez7+pGWuMq+dPWLeu1yLKcnV3w5MkRbdthTMJoPKYYlUxn08FBOitygtG89sbrlOMxVdOQJJo3f/gjQlC8+/ZbfPYLXyDJczaMo8vMomtn+VjQ3MRUGofj4fvvc3JyTFkUzKYzRuMx6vSMl19+md2DA5RJGWU5aSa6mN7Du2+9zdNHj5kfn7BeLDk5PmG1XslYKktEUt2QJik+BLq2FQmgEFjMF+Rpig6B3d0Ztml4+80f86kvfJEn77/Py/fvCzCMF7mpK9vVIPnneQtxjZLVckMv2maH6QheblhjMbwYEpP4sWuKQrL5IQ5RiESAUlpi2BAIXmOUx9UiAaDChi3c7yeEyApTCWmWS0zcrwdDciReIn0iLFhvBESbCteu8V2NbRu6tmF1LJ0b6XhKmhekWYH3YNua1dkx7eqC05NnQsbIMorpLvc//0W6i6fcmO0xPz2H1ZzjZx2pBmUSRqORsCSj/qW1DpxC5WN8vUKFQFBGjNZ8iIVMOc4Qet8OTZYnJInGRT1U66wQV4weYp4edAkhgHME1+cyEtvqKFUW8ISY5wwt7UCZytg3ZUlWlGDA+kAWRDvVGB31zj17NyfMopnrydkFZ8ennJ6dM183VM6TjAq49wq7N19GmTzePYet5oS2kTxAKXSaD9+vYyxkdIymg4kxQwfBo5ME39Z0tkYpQ1YU6CQVLnlP5umZxGzyLR+EdeyieddoNCbNi6FwHLwTGYwra5V0AKhY9HmxAKbrtp/FLquqGpNqPvPqa3jbEvKMEBznp8dcnJ3iorSaNgYbPF4pMmPQWrpgjBFJwG3+bEBAzO2kOLjLOrT9cWwbFV0Hdm2TFbZfS5J0WEsugxgbLmk/1gmX2Wrbn+nzfqLp3PaxXQJ3+4pWzGBFBimCu3DtvrcBu00hiNit4C7dh+tA5X4bDOSQztAPzYPYzHn984AOhF4eMRYzezD32iJefF3A674QJb+T+2XoA1qlAt5fBcVFr70HvsRwTq6ttW7IV9tWfBaaphEwuO1iPtt3D1uapqFarVAoJpMJ09mMyWxGmgkBTpsXqwh73fZHiRGu+9wGvDMf+p6ftV0FkPsx3tmWs7Mzjo6OOD06IXiYn1/QdS1FnlPXNWmWkCaF+Mp4zziyZvs44saNmxwdHTEej4XVG81Md3Z28F465vuOLht9Y9I0wVqRiphOJjx6+JAizwdgttcf7t/fA41FUQwActNIN26WZVxcVIPh3Guvvcb5+Xz4bM8AXi6XAIMshvee09NT7t2/J6SHuO4e3rjBy/fucXR0xHK5HMDq9XrNaCxxwN7uLp/97Od45+F7Q8G110S+PEdcLhJtdwJcBwBfvbc9o/fqZz5svFx99j9qPFz9eXvf2997teB1HdC8XRz8qP1+nO2TM4f7c1FqaP0YollBMNGI6DyACpqgRN/H+0BnPY3t2Llxm9n+LXSS9NPh1S9A9a1HP+uEIiiNc3zrd3+Thz/+MW1VoZ2Aq5PdGVVVsTqrabqOzlqaupU2GaXI0oSmbXEesjwhuJr5yTOSLBVA18N0OkFpE9mnbhDulmqKMBZ0UAMxzdpWHIe1wgUnbW5KYxUU013K0QTbtWilyPOch++9S2UheIezXowjqoosNWgs6P66akTKf6stQRkUjlRFuQsTcASqpqNuOlrvpaW3sdRtQ55l7O7MGI/HFEVJkkqQu65q1tZx8+4tPv8LX+bhT36CDorOOVZVg9agbSdgqRd2QFCGxDlSo8myLAY6hv2X7vK1X/uLvHT/lcFEaLiPRjEa71KOZxy+dA/3la9x9Oh9Hj98F7ylWpzRVUtS21CmGdqk5GnC3mzMxU7N+dk5XetwtpLbrxfMpmP2ZlNWbYd1LXsHN6LG3IjVck5rO7RStEF0WbqoZdnfP6UgbFW0ZTg5nLdM8zHj0YhsMkYnyYYt8AKtm3/oYFxtznMzsWz+VbHVKChFmgvrrakqQrPGO0uW54SwYWmHAEk5xqQlhBANY6SFzbdrFuenPHnnR+wc3uLWK5+NQaXHKIP5/5P3Z9+2ZNl5H/Zba0W729Pcvs+usqqAKgBEUwRIgDAoWaRMeUiWZGlIlMeQ/Sb7/7Ds4We9yX7xi3sP2xqmKJIGUCAFoDpUk5VV2Xe3v6fdTbRrLT/MFbFj73tuVhYJkHWlGCPznHvOPrF3RKxmzm9+8/tMAl5hdQcBa1Q4d2SAaFDbVvDlX/1rIdFTvPYrv86DD97l47d/wOrJQ0axZR1bTJah0hF7V++IcP/5GQrHjWs3yPevMJrtYZIMTSQsBgKzPxi81GXBe9/9Jto2oLS0tPgNA0AFJoLTumfAZVlGNsqZ7B8wu3qLOI75+O3v8+CTDygW57TBMGsLyHeboMIE7XYJMv0msUcKS03dUJUlZVHR1C13vvzLZLN9isUpJ4/u8/F777I4PRETuNA9kYTuAAETOokZR1tVoGBRl8IUOlswmk4YjSckoxFEokmlo5jp1du0tqWt1xw9+IhyuaBaramCxlRZrMDbnqkaJSlJlpJmGSaKpZXNyH86ikN7pcGHNHdbM257XCul5O/wREphpoqmKimW55SrM3AtHvMzt5Jf9ONFQYj30po9mk2xT56IaaFSgX0iSWaSZfzb//6/z/+pWPGTH34f62yQVohBGfYODoiTlP/Df/FfkI9Svv4rv8KN197g1p1X0VEaDD2lEIwXjb23f/B9jh49YXW24Pz0FI9ooJ2fnbNYLKiriraue63EyWiEdZbr16/3BcYe4grSD0O33Y6JEEcRZVXhvWccZcKKqUXD33mHc4oq6DW6Vlrf6roCpP3OGEOSJFuavgIUi7awbE8epRwmivtEC8BjKFtHqyJe+8ovUZUVH73zDqlrcdqR5glaIypPThKvdVlwvlpKMbwW5uZisWK9XrNeF0wmE/I8ZzKb9OYfk8lEunCMJs4zZnv7PHj4gGvXr7FeL8mThKpuWJ4vWC1XzNNMYh835PiF70N8tinKdfm36pW+PI7VasUPvvc9Ll065GB/Tjwac3p+ztVbN7n7yqtEWQoqIu102/Csl0t+8qMfszg948njJyxOTlgslljvmM/nHBwekgRJiSgSs78txkhVcXp6hlGK6XREW9c8efgZjW1RUcLly1dI89EGhLxgzr484NKu/u7G40EYehuWnYxBAQu6Q+SuNhqiuwwWiauGLfzB3CZOcHUVwnJH0wwNmZ5fRwFMlGBi6eaRc22AKaXE/0EMgUGrlk4zuFosWC+OBXxuBBiuCjE0xToaY5gf3mC2f0CcZri2ojl9ymfv/ITV2akApXGEyUakozllVWGcBQVv/fQdrty5w9W9CcoIYN3pUgvj1/beA0lonfVAFMWgIlxTCXy7xSQK16QVsZGuPWMNNpLY3lm3Fdq1bdvv5fgBKLwDIndJev8+WgeAFJRkAAIIRyJb07Xfeu/xJsJVFdP5HGXAtg2nx+ecr07I8ozjRw8Y5TmT6T5JMgLE3Nc2pRBKUJgk28TYXvRTlZIYQYWx4awwrG3b4NsabItrHPl8TjKaoKMYtEGkasL+stP5pZTCK9GO1caImZreGA63TUUU58+Fxy8z0DQ8duegHB3wt5lXs/19XnnzS1y7eVs0qp2nLAs+/eRTojihqCpu373DzTu3WS2XHD15IuxurQeSLcP36IgPIfjr9k5ZKLc+YwcM77Yi7zLmdtmqnX+Fc9vnU30sEZ5/97c7wOvF90cNhuU2wLJhvcmlGq1xfgOCbF39hfd9w5Ye7tnD9+hiJOccVVWFc0nxeOu8g78bvueFbEC6a5V/AWGeeMD3nU5DfeQOALbWhue7+duOseyCQaQUe7fb0p1r6dqBur3UOTFdb1vXg8Jt0/T+Ck3bis9QI1KSdV1zdnbGYrFAKUOapYyCnFUcG6IkEeLNhcmt6i7vpTlUX3SQY7dQsHndi9em4bhuqpoa6fxUg64C7/2WUs5Ft6jHFpR0gQ/3jKosefb0KevlijRJmY9mKCUAahJHjCY5dS0SIFmWMZlIN81rr73G8fEx8/mMk5MTLl26FLrqIqqqJA0m3WVZUtc1JtkAqF23y/ninJu37/Due++RJEnfMd39Pgkyr92aUhQFbSudt8vlkiRJ+o6wTrKpaRreeust9vb28E5xfHyMUtKJo7WmKIpesjSKIg4PD6nrmuVyyWw2Yz6f8+DBAz67f5+rV6+SZRl1s5GjyIL+sooMh5cusSjWvWyZ5IxsirwBl7wIIP5Z4OxuMWp3/bqoAHURMDxk+Xav2TUD7cgru+vP8He7hb7hZxy+zgwKXVsxyV8lONxV8roLHKYloWGFrmLYOmitCLd7D20j7LnxbM780lVQ0YVL0M97dBvVcnHOo88+pS7XgKcFvNIcH5/StA3pZMrk8mXiLKUuSh7df0BVlORJSuNKIqMo1wWTSUoShQq4V4EdHDYwZ3EqmMc1YiZgraKsKrTSTPfmvQty3VrqtmU822O+v8+d117j9S9/mas3b2OiZKsivFqteOsHP+DO7TuMRyPKqqRpahbnp3z84Yc8ffCA+x9/RF2sUd4RayMGW9YRRaAdtNqglME6qdRUtTCGm7ZlvS6lhcRo9vb3yWczpqFSqLQhUop8NKF88pTjp8fU64rpeEZrLcdHR7iixChxr43qlmu3bvHq669z7eZNDi9fJh+NSFNJcuM4JZtM0LGA64pdfF+FrFWjVYIeJdx87SvcfO0rgMe1DeV6xcmzRzx98DHF6ROUbxiNEg4O5xTrEm8rmqZhtZRqlLMt43EubaxGc3p6hFaGdJyTjTPqomC9XFEaI+MwABHeeRrXojW4sPdJQOxpmpY4MaSJtLznk7mw0F/WY2eh2/7VxdV1CW5CW6YacgfChqq1aIQH9n29XlKvzzFKEUUp+EErg45JJ2PQwXywFSY33tM0a44efkq1Lrh663Umh1fkPfBijqAUbVPSVAWr5Smrk2e0jSPOM7LxVJ6NEUAxSVPxStcavOiBjWcHvPErv8ndL32Vt/7sT3j03jsc3LrDzddeZ37pMg5NlqVoHcn4AOJUNjqjB0EAAkpHUcS6WPLDf/qPqU9PiJSiDmtEXdeyBlgrxlFGAsS6aUiimDhJGE2m5KG1+93vf4cHn3xIW9W0tbSh+5CE6pB0Dd2qZdN2G2A4JL8u6EE562icY70qePDBO+TTKTfzMauzY44efkaxXPRmUSoUp5JEklXdVcMQdkPXutTahqYqWFjHen1OmiQkSUzrIQ0tTMf3Pw2tTZ5qfYZ3juXZOS7I9uS5MKnzyYh0NMYkqYACRkBgjEhD6KBZKPqRQQexBzQ6/rCMxKGxpjImdC54aq/J9y7hbUO5PMXZGhOl/2Lz51/x8XkMGkDkHgxcunyJZ0+fcu3mjQ7JkeKB0SRZzr/7H/7H/Jenp1RNRds2pGnOZLbH0bMj8izj9/7m75CNMqI84/brXyKZTAWcD2uAd9DWNe//9CccPX5MsVyyOj/HWcfTZ08F0A2sc9u0TMZjjDZM5nNu3b3D62+8wdHTJ9y4cQNrW5q67tefpm2ITBTYup3GpozFPT3vgQrnnBifhSAv0rHIVdkGnLSua6N64HU+nwP05g1pKhJJWZ4QRVrAYqNCa6rs9x0AZTFUtuXVL3+VLB/x1g9+gC3XTBIjuZoBbzRNK8ZUZV2yKgta7/jlr32dv/jOd3n05Cmnp2d4L4njaDSSfXic4xUcHhwQxTFxFKG05vK1q2itmEzGtE3Nd/70v+Xa1RuMp3MuX7/BbC7JQ/CjG6zfm0Q8YMLbMdbOD+Io5tLlyzyr1+TjEZODfaYHe4wnM5LRKABBuscfnLX8xfe+z5OHDzk7PeX0+JhyXZCmCfO9PQ4OLzGbTTEm6pkh3jnG+YiiLIhMxP0H96nKimWxJjk7Y+9gziieUqxXXL11SFFI14WOdlu6t+fBywAQ90XxQcxsoghld9ueB1c6eEZKK5Tb3nOHzDu656N10L71JGHOeDyutSgcWkcXJgfdeaIkQ0dJH0vvgjJKKbAttio5O3lGGvtgMKtoyzXF2Sm2LGibkroqpUhUN7SrFWXTsHx6xKfeESeJdL80Ii/mncfaBlUrVFmxPjniy3/j73Dl5h2+9//7B/zaH/ybvPrlN/no29/EO8kfZI5u2joTpfFNiVMaFaf4qkS1Dd4oka7ynrZe9R0Ech+3Qd1uXYjjOMiWSSttB+BqLcZ8/V4cwLNhgv/c/ULipySOMQpiA0mk+/dSQdNcobFGk41yGhyjyZS9fctif0m5XhPjcVVBu1pgqzXe1qgoxRNa5fFivGoMyllh9oZORYkZHE0txq8Kj7cNtiqpV+fYpiaZ7pHvX0anIzDx1lh8bo7141IkpZQPwIHSQRZAWMPe2T7oHwKQXdHqZTlevMYo/GBeslPUAcVkPOP2q6+zd3BIkkhMmiQZr7z6Bo/SB1y9cZPpdML7773D8uQUjWI0yjBG2KHilyIhtPMeFTrGrBUdZE1gEQ/z8QFIMGSSdfFCl5t3ILMLEl1iHKf7995c1m4788b8bUj46c4tAAb9+Yf3cBfc3Y1hNoDwi1u5d5/JLsi8+5mHMhpKKZJeoshTFAV5nm896+G8vegeDIGYDrx/vhVcUddteFbNDkN7w4YWnd+NvKWYY4diVWQ2RazATO4kMzqQSTqoWmzreuAXCN9XPWOzbR1VVbNeF5yfn7Ner7HWkmYZs/mcw0uH5OMRSRoTJQlpPmHoY7ApXnbx+EskOrwTQew+w+64aJ7vAmpKiZRoHWQZFPQSoZt3C+MHsN5vcuZBcUQrMQ3XELqGPON8xGQ84ixNKNcFi9U5kTJkWSqxrNaUVUmWzdnb2wtyahGnp6c0TY3W4g/VjYEoitAq64HeJEkYjUesq6KfB1L0FG3p2BjiACp2MSrQz4+hNnUc9pr1et2vMdKh53sAuG1bYSo3onM/nD+j0QitRJrCh73q9OSUg0sHpEmCQjrr8yDjKfOp6zL0TKZT6rbhzp07NGXFk6NnvP/ee3zpS19i/+AA6yXm7Jm2YRgM46aLMJBd8Hj357syPC8qHF10vp917BbpLiIBDM1FL1o7d+Pi7vqHUhO7jOLPO35upKsHz3Yn1+D7NrRp1XWDTlJaZylWa8qiwnpPXJRkkz0meweA3vEm2EykF93c3fdWXiADh+Ybv/+viWNy63DW0zQ1VVXy8OFDvv6rv8r84AAXsMlitebp48e0Vc1oktNUNU8ePeTDd3/Cyf37pApsXYZ2KB0CMQ3WYZBFWHlIs5QsFiZtU5WYJGG8d8jtazd481d+hTuvvkqUCHvJh8VChcXBh8rjZDLlN3/7t1FK2oDnCAtZ4Xnzl38F6x3FcsHRk8d89MEHnJ+ecXp0xIPPPkVFMa985Stcu3mN2WxOmufEcY6JjBjhNS2nJ6c8fHAfpSBNYmZTYVNPplMuXb7K0ZMn3P/4I24fHPDXfvu3eXL/Id/8x/+Ihw8eCqsgy3jl9de5cfs2r33pDW7cuU2SpuEqtjfT7pkMSOAXjKNuEfVbr/EodJwwmsVksznXXnmDuljy9NOP+eydnzBZPmA+zajKEpSiblps0J9tW0uS1GR5SpSnOK8o64rZdEqsDZPJhMViwXqxxLZWDCC8pyjWeC9yEt2ka6oGvMd4g440SZqQj2dsDFK2gdJf9KML5L7IJ+7ZLF7AX5Sil33pA05ZYHWUiPlBvQ4BhCdJc5qmxGslgLsTRkKcT1Gm0+ZTaB1haajWp9R1zd7V28RJJkFd01AsT1ieHbM6P6VandOWa5piTV0W4AW01CiKopT57zyNTkgmc7LplDtvfIWDS1dJ8hFJlqOUJs2n/Nrv/m3KX/8GqFiKHXG8xcKIL8QQA2tDQWsbjj59nw9/8OdUZ0fEJsZ6DTrGW0fVtKxOT2mdIx+NMVFEax3j+QHj2YS9vX3m124xmc356Eff49HH79OUlUhPONcbH+qgh9ptyl3guMsE6dhOzrZEVlPVYtBjixVL3/Lww/fZv3IDbaCu1uAsSiu016HaGovWaRShlBhWicmGow0mXnUdCfugqYU53ViqskYpT71eh7FxJLIszmFDcAriYp6Pc0bjCfl4KtqESSKamFoTmVhaXLUSkDgkCF4H0RIPvq1FX9m3In+hY0ycC5A8kCQChY5jUq3wrSGdHOCKpQRxL2ldZyu5Znv/2yrUWo0h5nB/n88+/ZiyKEjzPADEmzV3NJny9/6tf5vHn/yUD95/n8l4TFOtUDRolZCNJ5g05dLNW+xfviyJaAdweYei5f5HH3D04D7VYs3iRFrHqrIE5zk6ekZZdqzdhHw84uDyIUprfulrv8zt27d4/PAzoshgXYOOJFh1zpNYkaXQWgzhpDVOzHq885hYNIWdc6TzhM78tAMo2mCsJLpwTtjnKIyWsT3KUuIkIk06prpCaTBBXsaj8E7ADWU0voXGOrLJjOu37/L44SOWjx4xjxUoC1rjlZiu+eD+XZQVdVljW8/jR0949Pgp54sl66LAaMN4MmY8meDw7B3sM9s/YB3cnbUXtlHbtmRpxng0JopiXn3jTQ4vXeXwylVMmkAwvzFIAd4OgC/gC/k9KRRxmnLz3j1WyxPmly5z7/XXyKYz0nwsDMKBFIvzLeD46pe/zFt/9i3Oj08ZZRm2aTg4vMTlq5eZTicbc5soEkAuSsmylNV6zaOHD4njRFggdUNZVyjnUY3FG8fZ6SlvfPnLFE3BKJlKq3y/0/5sTb9fvEOhuvZ86GMi3csdwG4k0Y/D8Pfd0bVrQrcPCxnAa402Bm0M3mtUJOxsY0Abh7ctamvNkPN6QMdJKM4NwJCdzwIe71rackV5fkR9+phVuUQpKNcrbFmgnBTonbO0dU3dNDS1Q0UxTse4comzlnrlqZoWrQR4jRJN07aYKCUbTbG25fTZI548+BQdJ/zaH/wbHD/4hNa2GAXSVj3Y+wJA3OmhohTxeAxVjcHh8OSTCSbNSUZjVs8e0ikQawVK+1DwElM6hWgz6zTpC7AbcFgAXa1Fpsc76TJQSGdeBxR3AFrXGaG1PF9jIuI4QvkWXIOzG9BJo3EoojzHOkcaR8wnGaoVA2XXtLimoi5WJE2DNimRiSHfo63W0FbghSXonZUn17GVmoq2LCQx1Ip6cUq7PgMU2XSfeHoQgOEoxHqb+GKYEPdjRIsmaZTlVG1N07botpb/kkS6dGwlX1WEVr7fe3wAmdRLBDC9iFBxYWKD7AFJnBLpmOs3bhIlSSAYSEftZDbn9emMJw8f8PG771KfLVDWiYljiP1EOqwDJrXEVK0UPLuxHplIfCIEptqABs7hfGewfjE7rW2H4IeW2D10GXXybMPWa/m77jMFGYXdu9GDsTuAidYov81a7liJ3WGMdOVuwOsB8BsAjYtAmhdpdPrB9Q//dvh+YqK1ZjwevxCMHprH7b73hQw+J52pZVlS1RVFUdDUTQ/ogugpdya7oiltglSjAG9xIt9rhUiqDQCtDhxq27ZnBfuQa9e1SAwURUFZlv1r1+s1Z2cLyqIMZJeIw8NLmMhw6dIlJtMpSSrybV13x67rnMAUm4LCy3d8ftzgvd/S4u0KJsMxoRSYJMbQyUAFAtLwHbqCvA9kisHbeSXdHD7MvcgIluQ9lKuCqqw5PTnl5o0bVEWBbRrW6zWz2VQ6l2Pp0myaivF4w3oXLyuRXlPKEMdGOtjqisl0zGq9Zjwa03o7GIey/5ZlTZ6NODk66fe57prjOO4lI5RSvcFwVdX9vMiyTIr5UcRqJR4TWmvG47F016uYqhQ8TqOJTczZ2ZkYmitFFid9l4RtpBPX25Ykkk4/j2K1Xkm87KUYW56dM5lNuHbjOjoWWZ67d+8wnUxoqip0DkkbsUgqqb6Quv08t/e6XdB4F3wdft0dOz9z9A3Wo+G5OpmOrli0VWjYKfZ1XZXdmjbUGlZK9Rrx3Xo/XGu7YtKL1suLjp8fHA4F0l2EukMDvfeUdSWVTjx1XYLSNI3lzpe+zGgy4ejRZzz65CNeGY+I4pwXbbIvOro81VpplUgSSQDne3tbr7PWcnJ8RNq03HvtTdIsBa16o4TJPGE6H/yNh1fe/Cq//jd+j6PHj3j3Rz/k4/fe5fHD+7RFEdyJG0ASn3w8I80ynG9obcvh9eu88uWv8NqbX2EyOyCOpareD50O9/aDK1abgMkM2gOhq89JtS7Whnh+wGx+wCtvfKX/wG1wb5ekQQ3SqHBbw5vfuge//Gt/rTtj/5ru+2t37vD6176GCeYH48mMvStXWJydMd/bYz6fk2YjCRDCH2+RkDqMt6vM8QWe6gUvGtbgjBJWTDaZc+fNr3Htzut8+u5bLP/sv+VsVbMqTrDO0lhLYxuKqmKUZ4zKlLRIGU/nRFnCaiXt7HmWMp1NGGUZZVFQFAV1UxPHM9Fmamva0H4D4HWE0zHpdMZ4PmMym28lUf6CAOkX+vic6ugLD6X6qtuGvSrgsbDmG1zboj04TVfyoG1ajLHB+VoR52O0ifqxzjDI1BGT/Tm+qVk8e8Di2UOK02Pq1QLnWpQGH3QSE6MxWdJXBl3TEuUZ1ol5m2kr3NlDlsf3+e7HH1CWBSpOuHHvda7evMuN268wOTggnewF3UUfrvEifbBu4Q8a367l/OgJP/3zP+b82X3yWJHGnT6byD1YC1//rd+hKMRoK8sy+azWUtUl09mY+cFlZodXePrhe5w8fixjLuioKqWIggusCS2vm4BlU9nt2sqGgGGs435zb+oW78SA6/jpY86OHpONx1R1jXdgtLhJ907F4ZrTLN0A0AFwitOUuJROhqZpaFuPaxpc02AMNH6jK4/vNNcgjg1xkjCeThhPp2SjsbQuJynaRJgols07AGwdG6WbY155MfUpS6r1GfV6jbeWKIlJRhOirCHOx0RxF8zKg9Ba410ndZJRFss+4RnCMC8PwHTx8Vwgo0Oh1Tr29/d5+vgxN27f7hNO8MJCso7GecZ7h7z5tQkKSKKIoiwZTybEWcrlGze5fvduHwR3z9Q7y9OHD3n0ySesTs+oixqtNE3dsFgsWK1WorVoNKPRmL29OfO9Gfv7exRFyeOHD3jw2SdY22KimPFYZCbwXsyitKaqahkLujOxkmSuqmsiHdHWbQBuXGA+J33xK/UdQKr6FrPIaLSWYDxNItI0kfkSGYJ0KZ12N52zsVa01tF6xbK1/MYvf431csWHP/0JqQGDxxlZ21xgMVZlRVVWYgJTNzSN5cdvvcXx8TFlVYl0xHjCdDZFacXHn35KPpvy9/69/ynf/8EPOD87xXjHdDwizUesliu0jojSjDuvvMJoNAEtuq86JCs4uTc6GOuonaSuK5gM99nuWwdoY7DOceXGTe7cvctoukeaj8RUuDN9YKh7qVgsFpyenLBcLJjkGYeHB9y8fYvJdEJVFRA6K0xkUE5J8hsnoBSj8ZjWCngVh9bbpqpp6waM4cq1a8RpQrFcsoGUBoHMy3aExH2bXUS/FvXBP7B5yUYqRnWsDzas901yEYALLRr7znpU6ChrmgrnJNYdcjU9olCsje5lezqhBcXmTm+SEoVra6rlEeuTI6rlGU25xBdrbCsM1Na2fYLjrAAhCo9RnqJcU1YNWWL6uFArYRq11hHHRmRfkpimrZlMJhRPHxEd7DPd3+PRez/kycfvCaMxMPo7gxytNWme09bSwRdFQtCwoXulK4etVwvQCeXag/eiexvuRp/HqMDCZJNwA5vCkzZivtr9pfPUTYMCnPVbxlPd0e2tJpiOdcmfcyKH4Z0lisSfASceJG0jXWxaKYxWxIkUsLUWlmFTFbi2RPkcH1i6WJGIcG0NSAHVW4trW5pKQCLbNrTlmnq9BOdIs4zx3gHRaIpK8uAf0D99uuL/c3ukkgKujlKy8UzGQB0Kt22Nb2qUjkRjtwuMduaujI+Xi1jxYobYMJuSnFTh8b7BK8WTJ494+vgxv/93b0gsB3itePbkKd/642+Sa0XrW5yCPJ8yOTxkdXqKrSuRUdMQ5znL83NhqzfCnDcmQsUyz7xWUlrQAhz7AZt4yDKTf6veCKuL/TvTN8lN5fnvgqLdtYqG9zZjbotlF5jDfgggOtePgCiKApHB9nFzt96YELta5/rFsJM4645hvjJk0Q2BH5C5l49GVAEkvQjc6bRXm6bpC6u7rL0h03SbWRjmSHj0bSsMzeWyYLlcsl6vqeuaqpIO183nlPsbx9KKHydRMNYV4C1NE/I8Cwb1YvzXPQtjNNZZYXsbQ1FWQS920+1gW5HOWCwWLJcLylKkuETXPSaJRVprvr9PPsoZTcZkec5oPGJ6cMBs/wAUWDzGdyznbfbsz8OI/Fd9bNiU8u9dwG146EGH5ovQi+45dBhUt5NvXtCHTCgvvAznXZ/beKVAe5T3uEbAwtpavvOd7/L06VPyPO9BxNPlgv29PYwxvZmvSI8ZikAm2IC2kOeiDdwBtB07eDKZoJRivV4zmUz66y7LkvF4zN7eHsfHx8SJmLJ30iv9nh66Rzemh20vI6G1ZrFYsL+/3+eNnfyEMQbbOsqqoqykWFLVFXEa09Qy58q6Zm80YjweU6xXjPKMNE2xzpMnCfloTFnVmGBE3dqWw8PL6EgTZUI8ffDgPkkijK6umDI0Lh4+++7rRUDwRWDw7jgajoOfN3/cfb9diYkhw7d7zfBvO+Zw931nrtk9p2Fs2D2nrtP4ImLRzzp+LnBY+w4D9jLIn796cAplW2GlJDGurjk7P+PKjTtM5gc4QiuYMSzOz5gfpMKiEPrv1s3pJqDqEpTnJrPpnTe7AGz4UbTWHF66vH3OAXg6gFG33i+KYq7cvMWVm7f4xt/+1zh5+pTvf+s73P/0Yw6uXmZvvsfq9Jwfff97tM5y4/Y9/to3/jp3X3kNFYXqezhnxxTevk/hdztVqR442/rdcFANzyNXEMVJ/7rhGwzB5+3DP/+a8OM0zegAfqUU167f4Or16/1pZKN47jKem0jquTd/fkB2CdILXzcIKrsEMclH3Pv6r3P9lS/x7T/5Y/74H/0jzp48xeDFlEFBVVas07Co1J40r5lMR+R5imstKIeJNPP9OaPpmKqopHXPRNQ2oq5q2qrFawNxyutf/jJpqrh86xVG072Q3IRP9d8Bg6vPq4SpMHaHASTIZueDjp3zXcVS2AF1ucK2Ve94TADodJx23NvBfROGU7U4YvHgHYrzM5pyjbINWIfGYZLAFMThbIPyFg247rMo8EbhlEYnU1S1ltZNp9k/vM7R/Y/xTcWzd3/AZz/6Dt8yMfNrd/jqr/91Xn3zq6KxJx9lC4PYYmfalocfvcfD999m+fQzsBVZHBMl6QZQUrLZ51i++4f/CIsR+ZfIkKaimT2ejIlvXMMVa5RzLI+f4puaLhHrNohOh0lrtfV9PxNCgNJFIiYy6Fq0VuW2JBCqrK1zVOsVp08fcWP6uugqh0S7ez/vA/geDHKiOFQnAzubtiGOxlibShGlbMTE0dmwbum+9Ulrg4ki4s7EMc1IJmMJPKKYOM3RURTanANbMzIoo6FuGS5YvqmpFqesTo5ZnDzDeU+c5fjzmnS0ZHp4JSSrETpOepy/O4dWGqflWm3bErGzHL4k03dXh2q32r1h6IBzAvyMxlOePHnG+fEJe5elQ8crUFph4ojXvvImrm2IjOHJI5Esml26hDIxV27c4uqtWxBAJPlDT9vWPPjoIz557z3qxZLFyRmt9VRBK2yxWAR2o2E0GnHt+lXiWAxiwHP9xjWOjo7wriXNEqJIih+jJGMynYpWuffkWSpBUMccV3KtSSx63tF4HCrpAgIlaYy1PoDYtjeukGTZSIKlxOBHA1Ek476TJOkCyI5BhfLCUvBQO8f1V18hG01469vfQTc1KnZYpTCBvavwNHXDel2yWhVUVUtdtxRFydOnz1itVjhgb77H/v4+o9GIbJTz5PgIbyKS0Yhv/O7vslos+P63/5wkzVDaYJ3nyrVrXL5+jThNw3vJ83feY4axQp/Q+C+8LykQ3Tajuf3Ka+xfuiRsVIStz9aYC994z7f+7M84PzsligxRbLh2/RqTyQRjdG8QGAV5DIU4yA/ZJ8aYoEUvn7W1Dod0Yk1nU5y1HD19ynS6J2sTosH4Mh5yG7/Y8+jncUgwVShyhR+FtU6F+DIA9mHtBvH1oANnfYvxEWGXCENCBdmeJMgZbH/Q3QTIe4ct15Tnz1idPqFdL2mrEuUaHOLHgBqsT0phlZg0SweKJvMGg5hBdy2NCgGEhdwhxkm+LKXoXBdkeUp1VFBVjhPj8W2DyHltMw8BKRZ2bGqt0dZJS29XK9RKWIuuwZUVSWQCmL4BlSTp8j3I3mcG3uOcFYBYyxgcaoNmRhLRptoAcNK5sL2Xd/t7x0TbAFmypvbEECcgsQ96lChFEie9NqMkgi22XFG5lraqcLYRILZtcG2DszVtU+HbhrYsqYqCzvxKeSfyaAdXiJIcE8coI2avDNigm5wrrDU7DCWlNc6k6HREMqqp/RmubWiKJd4rYq9RUdYXNfpB/bIWeLaO4XwMEa3f3DdQvP/e+9y9d5c0zVmvC0ajEd53uo8a7yw/festbNOgRyNUKLyen5/z63/9t/n0g/c5Pz6SWEcpnj55hrYtYsAsb57ESdANjUOLuYzzzkdHD0DO7uhkCWDDOuu6PKJgjCjnfxEQzuA6N7+LolhkoPq704HE20DrEGQyxgSm8nYY9hz4qDYyDLugyRC8HWr7dnNstVxuxU5DAKg7R5IkrNdrlsslaZoyHo8vPHf39xu2Hz1JpmkaFudLzs+XnJ8vWK/XrFarvqV/+L4de6+LUToGs0hdibzbeDwiTRMpAmjTP1Mpflls0JKazPaomhqCROLx8Qm2tazWa5GCdGIcFgfG6WwqprfjyUTi8zxnPJ0wmU6ZzmfsBTax8w7lAyazGeybf7+E83gXH9kd211s0r12d+h35BdheA6ANrUZv1s5o0dMUcM9c0oKkwrwzkrspmUPf/bkKd/5zrf7YsKjhw8Zj/IQU5kwRqI+Xm6ahvF4zGq16p+vtU0P1o5G4tewWC4DpiOFyTRNe4mJOI57U7n1ei1EigDqpmnaj9EhENnNhw6I7TrcptNpP847qTfRPK5EWlKBjgzpKOPxsydcvXaNtm05PjkhTiLO10vy6ZhsMmZVVjTOcXg55+R8waIoyPIRvrCgYTSZ8Mtf/xqXr13h0aOH/OQnP6Gpa1599comJvC+f37dc3seo7o4Jtt+hn7rtcP46PNA1osId7uA9O4a1v03LHLtvv+LimS75+ieWRczdK/tfA6+6PHPpTncbx6DC/f4ABgpqSI7j85yqlVF1XjG8zkoqIs1i5MjIq84Pz1FxSnz6R4KLXjbRVXmABR2k3b3Z/Q3aQe8VKpf2HYD4c8DCYYAQxwnXL12k3/9713HIkG4JDyWb/zB/4B8lJMmWQ+EXXTeiwbS1oaFRweecMe53QyEXQB1++RbY7CvZL1g4Hb36QWfqcsiZCPSW2C1IhhbbO3bf9noym4AqXowsct3IzTRZI+/+W/8m3z1N36Tv/jWt/net77FZx9/IqYOxQIDjPI1k/GaUZ4zXiRMxiMmo5zZbIJSYiB4eOUSTdVSrNcsFwuauqJ1Duvh8MZ1bty5x4PP7nPr9k1uvvolMBuzlv7jviTH54yKCxczORRaJ1hqnHfgFFEsQX/jG5QHo1NMLBWspliSjKY4N8HrYHBjYrSJe2C4Yyl5HNXqjOXjj2kLaXO0VYM3KUZHNM1CgkfbhA3VbTEUhtWyzvFduRYdxViriLSnXTxlnEfYGFKTkvqYcrVi8ewJf/xf/T/54P13+cbf+ttMp1PqcsXRg0+pVkuss4xnM+J0RJwkfPTWX/D4/bdJE5Fb0KEVRjZHS78EaYiMIXYF1eqMLM8Y5RPRNTWGUWAE0Fasjx5QFec4LXPNth1To5umvtftlKBFih8bsy7dr4HyvcNpFVpPxBjPlZJ02LplcXSMes0Q5SMwGtoW6z3WNTgf0bSexMWgHEobTCSO5RExsY0l4W8adBSTRDVt2/RVSxkqYWMyhjTLyfKRuN5HETpJiOJYDBz0kP0WnqFTG/FUrXHe4pqacnnC4tFDyvWaKEtJ8gxjYpyKWT19QJTkJMlIigZRx3wK4Ik2Agpo0eLUyj8/Xf/S16+/muNFgchuEuW9AApeGTBw/cZNPnz/Peqm4sqN69LeqTRe+x4YaG3DpWs32Ts8xLUNxkRkoyld7ct7pCXdO549fMgn73+AK2uWwWDsfLGiKArW63WvrXft+jXm8ylKQRxHTCZj4tigcFy+dMhicS4gi1YkSYwxirYuSWIBs7ROB8HSJiHx3mNbR9sIuOx92msLK697cMdE0sqN90EuRr7XKhS5wr3TCnwIyEwcC5vPC0jUMXTT0YhXX3udD975KfXynDyS++eVF7NdAojmoG0s3imaRlzBHz9+IixopRhlGbPZtO8miKKIe/fu4Zzj6PiYy9euMZqMZY0OwPW1q1e5eft2aA/fBIEuMIp8KNTDxVvRzx7dknzeu3uPOAmmsS/cJDYn/aVf/hrf/If/kMhoLl06ZDweyTPQmjSRRHQ0Hveu1OLZIJ8/TVMZJ97jkIJ+nKa9dv1bb/+Yu+sVx0cn3Lp5F5Nk/d71Vxt7/NUd0kz8efssW4BFV+TqCrD9a0LtAufxOhZJA6WeqwV4PKlORD4IUEpjOq+Ebo10ATAO4wkcygfGbACc6/UJxfFDquU5TVXQVNLq6r2TYjwKk6S4uhamqnVYr/Da0DQO7SUvMJEiNboHSxTSvYDvDFVt6F7xQd/ek0YRZFCUBVpL66jH97rBQwZNn0w5sWqWm62k4Ah9EUWbDau+Yzd1wE8UbVrinZVI3xFBAMBlq7V4Ryh6iOKW96DTRNjMKngphK6e7lkL0zMUXJ3cD4XYrKqg+drp/HvbBCZwAzjiPCIfJURRAJwR/WRbLmhrAYKrogjeDQ5biS9DW5U0VUmUJOTjCelkSjaaotMMnaRoFRw00XSWoL7rVdwB6HYl40AKbY0yxKMZWEu1OKWtS1rr8Nqg8omcX+nQbar63KLv0niJjq6QtYUGbb0AFDLP3nzzyygFzivu3L7L0yeP6Cp7HmirmkeffsI4icFo4ijFKylG/vSHP+L87ITzxSlvfPVr3L5zj2//sz+hdR5npZiQpylNa/Fe0baOtrUS88UGH4cwapBDbgAegk7t0JxSXlM3TT+ugWBmuA0+bAMnm58J6NzDwmEebQDR59qpQzdhV9TcvZ1abRdvdtutdxl1w6OLR4cdcd3fPA+yyHvkeX4hgDw85/a/BWi3rWddFJydnXO+WLI4X3J2dtZrseZZzmQ6C75Apr8PQ8kHrSOcFeBwtVqzWslXpaSTKjGy9kmByPTd0o11TFclVV2zODtnHcBo7z17+/tMplPSAAKOx+P+63Q+wyM+IWmWsbe3x3x/j7ppePb4IVGSkk+mTKZzTJriu04k1eX+HtQXb03/xTi2QdvdQkP3vDft+tug3OZvnx8bSnXFi81rNu/ot+Jo7714ohD0iL3Hti3f/KM/5OzklKaqMUoxnkxQyjOZjMlS0Q2ez2d9McF7MV7tpBuiSJOmI4AeFCyrou+Qc84F2TbXFyKapukZxl3Halfc7OZct18PO3WUUtSB9duN5el0ytnZWS9r0hVG4zgmigyr9QqHZV0WjKdTTOhSjJKYdVFw9cpV6rYRacM0le7VJGEWChd7+weMxmPO10uSOGb/0gHeO06Oj6mrmkuXLhFFEWma9s9P8ujAYvbba0f33+6+dtHPdsHcL7pv7Rahnit6Dc4/XOuG69fu3+wWqrpCdLc+Dt/Pe9+zu4fX/FcqK7F1Yd2HRjZGgXwanBczCm9ixvM5pXUoZWirkqNHD5hMxlTrFVmWMpvOg/FQj21uAtQwEJNkw5yTzUgGbe/4rJ4PXl74YQdZTiBEPYe/7tSUpPqjtOgNh0PriIPDy9v3QXX3YnN0Sc1mQdoESD3Rx/lAy1bbWoFfKP95QXU3/L/Xo0L1unMeMTjo77UKg3FYFfebr/01d8/pX2Fc17U5GxVx6fJ1/rV/89/iD/7O/4hitWKxXFAUBcV6TblcyIa7WPDs0QPOjo9YrArOlk8Y5SnzvTmnp2fM9w+4crBHfn5OUxYU65KyqlkeH/PhYsUrX/kqX/61X0PFmSQEzz3dlyXIfX4wvahK1i9seHRkiHwq+npxjAo6lMkWmOCAhiSf4Z1F+1YCQO9o6gJtOqaAwSkZh22x4NlHb+PXC9p6Tb1e0GA4vPcKZ08e0rRNPyY3ejl2a3PvFrpNe5n822hJNL2XVjuTxDgM+WiGdy1JBiPbUjz+mH/6//m/YpSnWp3SFkv2pmOKqkFFCWVRcrg/w9YFWSygZpKmPczuvUOxSVDFsVvaU+Mk7oPTjnXdti1t3RDlMcV6hVKbVuHO3Rg2G/xWm1PQUd1uK5bPINXcGIsOG4gkuZWqegB5uVxi24bZ3gEnD+5jm1YA4sDkiILTe900RHHUsztATCi1MegoMCU0RCTBVCC05CmFjmK0iYjihDgR+QjRf41QQdN1d/w9t2F6h28qmuUZ548fszw5YXZ4yGjvEBUZ6rIknc5ZP31AeXrGeLKHThpMkoLq5DG6TV3+Uwrq9YJkcrg9D16SqTucky/6Pd6jPaA8XolUR5Jn3Lxziwcff0KsDXtXLkEkBhQoH8aXsN+yRKrMJiT01gvLSId5dfbsCR/99B1sUbI+O6dtGhYrYcocHx/3AejBwQFXrlxBaxcSNEUcG0ajDBAJqOlsQrd2Sj1ArsuoTp+zQ6XFIC6Ooo3mogKjI4wmtJLHson7ENwrjQqbulxKdz7Vr9/h1Cg0jbXSmm6FlRcF0wulDVVV87U3v8zDjz/i/Olj0nhwbhWB17RNQ9NainUhraV1S1Nbnj09Zr0qAGEnjcdjAU/TlCzLSLKUbDJm3TRkSYxvW7777T/H4NE4rt66hXOe46ePOT4+YV2U3Lh5i8vXr4lESiD2dPt7f3h4Mct2e/yoUGzq9/5BHNTFYlvgpJLyXpqlHBzsk8cRh4cH0t4YdOM6lhJeHL2ttSi/AeJmsxlPnjyhKAqME2ChqhrKqiafTPjar/wKq+WSefAJUKprk9604G2N+5fw2AU3LmLFeed7dnv/OqHgEBmRS+kTF9gJOj3WtUTahDVcoRi2WYb3UwABxHXQBgaaagvWJ49pVqe4uqAuRAewrctQpA1dQ87h2mAq4wOA3wOgMa5nKgoIqpQiTlKs9WgsTdtKi7QH5xoB1IJeapcId+7p0tK60ynBtuu4D39nrUWF2GBXh6+LG4YtnJJY+WDG5TA6GHUlCd525ezhvrKJ6bUWSaQIjW8E0HGDcSmJG5hIESUGrQNw1QFxvlfjlXvoPbZpRSoDRRRH0q6Lp61KVqdHVNUag6IuC+qyxFY1q9WKtqnxvkUbQ55lzA4uk89nxKMxOk7RQUaky0E6s1dZELe1EHePrXkHoDRxklJXHpONyfCsz0+xVYHS52Sz/U0hYmdt6brRXq5Ddg9Aihq+AyCGv5evMp7k+c5mc+o6xGHe4ZWhKkt809CGwliW5VjXMopiivMlVVEymkxZrtZYh/xejXj9zTf5029+k2efPOTGjavU1P2a65wjTRPGk4w0FVPBLp8z2vRdXsZEOBdYvn3RRPR+49Cm3AFeQyZaN9aH68dw3ZL7svm+m5ND1nl/p4br1g5o67v54Dd31Vm7Aa4HBaHhZxky9uW0z5uJKaX6bqHu80RxtLV9Dv9mCCJ1r7fWYZ2nrS1FUfLs6ITlYklVNzx7doRzlslk2heAO1alMaZv885zMewyWhMZg1I6rHFBWk5DXVdUtkbF4OuG87NzUGDbljhJqFvLs6MTojimririKCZLM7IsZTKdcu3qVcqyZDQeiyFmFAXfnDHZKGc8mZLGEVVR8tknn1A3DbYpSbKMbDTmPHvK1dt3yUZS5FFSFXup5u1w/L1on+3GzO44veg6hzF4/3oXZFDC0c8ZwGuCr9EG8GvCc1+tloyynH/2z/4pH330AYuzc7y1zPbmtMG4XHJLYfVPJhOapiHLMsqyZLlcMptNmc2mrFZShB+PxxwdPSPNBPTtTOS64kc3BmGzL3ZAcCfbloaOLu+9mMANiizW2n4Md/Fc9z5RFNE0AjJXVdVLUFRlhVFadJqbBm9bFuenrIuCfDQmyzLOF+e8+vrrnJ6fMZ3OmOzv8bWvfZ2v/PIvYSIjMb7W1HVF1MlZGMPN23f47LP7GGNEvhHC/rbpsPDhGUnM/uLYcXfed18/L+/6eY4XFRaG77d7DNfbDjjeBYGHzOBhkaMrym06o56Pn3/W8fOBwzsodr/wDv6tvGjMRUbRlguc88S+5tEnH6CjmEh5cWD1blNND+L7/Q1EiQ4h4L3FtqCD4VtnPBbHMWnaMYwu+ogd8toFcuEr4FV4n+cpF/3XLcS+P7d60cv799r9eZe6eVRwmd20JXQBhRpEGfJa34VU/f+H93336NrG2raV4NSLW7uzm8BZm41uoDCfPW1rWS4XKKWYz/fEmVIJ1Ne9bncofbHKye5ffQ6o8bl/u4ko1QUv6YJ2YwyT2YzJbNoD8ISEBe+F6eUcTVVxfnbKs8ePOH7yhOXpKc9OzjBnZ9y8eQNlDqlXa9r1EmtbDl99nTtf+TomTgW474CFQVnkJcGXPvc59uNvFywOwX0Ui25u1wYjwIoPgb6MVmNSDB6iuGf4eGfRRpya2sZhmxXGQLk8x1VLVLMWg7PGYlFoa3nyztsiK4Gj9V5YUl4qrJ2kjSSi3eK4/QQ2gSN4H5iS3mGcpT5/RqYcrbWotsVVa2FFOYuJhEVzvmpRJmISx4ySCLxlfHhIvS6l/a+7mwoBPgPIZoNzuzEC7OYq6+d0t5HatmW1WJCmOW3b9MB3FMebtaNjEDmHZcMUVsrTOUoTGA/WOkww4YmMQSey2lRVLYl1HEsCDti2oVqvyCdTkjjGJQF8CG7KWZoF3bKaNpGKL0ji4ENbPkqYl3EcBQDCEeV535poogQTx6F12QTWpglARgiw+1ZMuY99K38A821b0xYLTp8+ZHF6wng6JZnNmRxcFjBeLVBxhvMOG1poY9cG8Mj0QKm8gQD2TVWyOD1hcvlu//4vU2HnZ625Plxrp1HvEK12jGE6n3PvlXt8+ulnLIsVV65fD8moDfPW9MCTUkZMUBU9mAqeYrXig5++Q1sUrM7OqUNwugqM4aqqSNOE/f095ntz6rokz1PSNA4MA5GnMMqI1lhk8N71LdrKCOO+iyNMDypsmEdGK0xs8Jg+gXShnZ7weaPI4HGMxzlFsZJ9UU7aAzs67KxuEDCWRRl0PcMd1AIav/6Vr3B6esrxgwekCjwOS4gbrABIrXWUQWvYWnENXy6XFIUYQI3HY+bzOR5IQsyCEnAhjhNuXz7k4ScfM57OWJ2dMooj5nszZvtz3vvpOyQn0vI9SVOyNHRg6M3+g1I73Z5hfG8v5y/agvv74ocvUbKzyem2QaGqLPhv/+SbnJ2ecP1Lb5AEE6U4SRiNxzhre7CiT9Qj+jbDTjuvbRrapiXpfBmU4ur161y5chV/+TLvvCXtgmmciumY2p4LL1OSChsAVxKYbfCh+x7o19gh4Nk9RhPnKBPTU5HCOXcPAYySDRiy+QT9vt4Bk945bFOwOn1GWxUizaDBrk7w5Vr0e1tJ6rCiDU5IiLukuPuctm17TUwQ5j0mks6O7pqsw3nLqnWM9g45ffSQNEnC/uv6pFTWlHQrwQeJdYcJUsfSFQPKbTaNtdumVB0bahvoHIJdIfnSEVHswdWIJ2/HzNked915hQgZEmjVxe9DYMqTpGLM1iXi/burfmDL8/DBT8DJ3t7FCLZtKVcLvG3wp2Jo2DQV6+WScl0AiiRLmezN2ds/JJ9MMVmOiRKRjlA6fH4BhH249t2crhs/OwNq63fdbqNNTJR4amtRqSfLW4rlCeXihHR2wNaiMpi/L8euK8fz64zMn6qqpNXbRNvgZ4iTBJRwECmqsA95KdHgvGU0nuCCtudoMuHRowfYOAYLpydn3Hz9VZTR/PTHP6AsS2YHh3z2yaco53j8+CGvvHKHtm16YFS+b2maiv2DOXk6wtONdU8UdWuO6w2g+v0OiENLtu5Z8RcDgbttz+Lv0JnVSTt3ZwZ7URGsO5I0JU4SivVatMSHYLPfZFYbNvMmn++whiHgMSRXdJ/twqNb/7QOut/Pgz/bbD+Qrj3pErIeqrplsVhxcnzG+ek55+fnrIMp15UrVzFG9+3+URRJXh3uadM05FmGbUUeL8mlzbvXc91h+iklBnNuANJFUYQqy6DrH+HHI+I4Jk9TRqOcOMtYlyX5eCwM4iwlThOSNGU0mQKejz/5mMh71qsVVdPiUGRZzuV8j9PTJUm0IIpTbr72hhRnnQcczr08++6F+2s4LgIHLyJL7R5quI753WJjd56g1RvWch20eL2zGA14R56mFOsVP/nxj1icn6MVZHmO8p5Ia6bTKVVVCpEgkbmZBE1grRWzmfz+3r27NE1NmqVY15LlIg3atpbJZNLnpi4UfqfTac8m7QhAHVu4BxVDwTfPMsqq6o2FAaqqwhhDWRRoLfF8EifEUUwbWcqy7AufkTji8vTJU1aLJVVRyOdppOvYOcf+fI84TjDG8Gt/7dd57c0v8drrr4d4XG1MMr0LXjziVxAnMavlknw06tcSMasNeuUKuuJnRxQaFox2CwEXPe8tDPBngMTba8Y2ALzbeTA89+5autUJNXjPXUbzhuXunnu/7mv3nLvvO1LtFz1+PnC4+9AERD6s12owCbsqvDJgFLi2JcLjyyVFa8nzET4EaUmaIsks4g6OOCtXdUNd1USRaK2II6e0bmqtGI1HofVk9wM+//BU94EhVOYtTdVwfnrC/fufMZ5OufvKPbwXR3MR1ZaN4HkCjh+ededn3fedOYilWK85eXZEUZY477hz5y5FsSYfjcjzHOcs62It7o14fGuZ7+0xmkwwUYzG0KPbwwvqgSQBjU5OjwXw8RsmtW0a2UjDotVa+qBZaUWkFSrSXDrYp20dVVHQ1jWjyQSvgjnHFtD+i3/0gBNIktVpWnnAQDxKyMdTrt64jfIe2zYUqxXnp8c8fvAJeZJx+cp1lotTTBSxd/2W6POht4D1rpjBTnD9i3z8zID8czdPadPvCjcbbDwkCl3AhgCYXVFBGSNMIyzeNdhywfnZE1xV4puKulhT1xV1KSZpyrUYLwBMbd0AKCIEZi4seOEzDXBAH4CRTqu0u6Sh7EFkwDmD1170oBxUdUM0mzOZz6jPl2jXMBolpEksYIhtsSpCRwnGe4I7nrCiAtNSKSVSDWrDQGqaoE/owbUWpzQu6gT+PVGU4Y0lyzPKEPRaa6XFTATNNkm3tVJ51YHJEIBAHQIRYfQ70J4o1lirUYjeMd7R4nFtw9mzp+zdvEkyzqnLBrxDKY1rXWAqxTQVtGmE0Zmsy9pg4hRbFcEMXoU5IWZH3my6OrQOxT4VmDNbTINQaaf7/WZt9rbBNhVNXbFenFKtzikXS8bjCeP9Q6bzy0RxQlWsqRtHPo5pXSvBVystzd46tAZ66RuP8070GK0nH+91qOdmYX9JdEy/WPVabVoACZ3VaLyKiaZT7rzxOkePHgn71zucd4ymE65evc5kMgUv4EpRFujYkGU5GmjKkg9/+jb1asV6uaJuG5brNadnC46OjinLgig2XLp8iUuXD/DeMxqNRGc7TRmNRlR12beZScwmEzcKcjRJlkpAbTtm8KCQ4EXmQTlZgX0X/EHobgyyEEaDc0TGUCxLtI4wWswiPY4tI1EnLfTOi9SEMkqkLazCKYM2IThfL3n6+DER4L3dAFzBDM+6YERXVQJ8VjXr1UokiqqaNEmYTibC3NFGtNqUJ0oMURIxGo2YTqYY5XnwyQc0xYLKxlTVmg/fewejZK5HRmNdy9nZKeO9PTAKpxwSpWh68YEO1A//dN2c87sdL4Ox1f8d4Tw+TAu1qaMgjU3ewv/r//x/4S/+9J9x58ZV9vfnAnZFRgpcwGjg/N7rySopXHs8cSog8mK5ACPGLN5K0n3v3qsoBZ9++CFHDx5w7/a9vlD9koQgzx1KiXyJI+ASdPWKnZhZ6z6eBgFHnHd4DCZKJcE0kTwj5YO0yItvilaqX+qUUjg1YPl5C21FtT6nWp1h1ytsXaIDc9Y2LXW5Enk4WwsA65y8pw4grpXx55x0z/gA8LRt19Hj+uI8fXFToeJIGETeMr96nbOTkxD3uy2N5WpdEUVJD9gK0KKo61qAJyWxmPaEZLyblxtWVMfyl/XT9AkY4f7jpbgcJwl1XfbxIkpJ/NsDmZvi0oY6Idu0/Ez2uTRN8MkGtOoOE9YXCGZGOuSvWvKR8KoeUDaRJskSmrYK7C1F6aGpYblY9AWhpq5RCkbjCZPDfcbzPcbjWdD1jwXUCSNOhfk9TB67D6I7qaqdGNB7L2ZnkYCgbVlsxms4j4kzIuclZ5h4mrahWZ7TFGs8DqeceIIw0B9W4F/K1vTNZ45jMVbz+kUxhKymaT5mNJ7w/rvvcO+V14njBK2NtPfXDatizcnREVGXE0cpq6Lg1u1boBWP739GmsWcPHrEWz/6EevVgldfvSv5cGDQudD51bNoGweZ5OgdGAod+LANRHSAkNa61wmGzRq1e1zIXKPbqv3W9/D81+4oi4L1aiXGi4Fc0L931+3T3ck+/gmMTPs8qOO9J05TqrIM600Yo16Yx50m6rOjZ0ymU2bzmchKDWKr7m+GQMx2Z4KALMfHJ6xWJUfHx5yengWsImJvf580eG3M9+ZkmZhGdkUSraTo7KyjqWq8dyRpHIy72pBLSVnWWtffgVGe9x16kTEi3+Nsb1ZX1RV5lpNlqXQaxAnj2ZzFesXs8iVm8znj6QRnG44eP+b85JTi5JTzxYrj01MOr17lV3/zN7lx6w75eMLjhw94dP8TmqamLtbE+aS/xy/C3H9Rj89ji37e6z6fkNGRj+RrR/aTwmMA65QYlHsXTCKdkz2SINmCoilLjFKsF0uauiYLOadHcC7pPtWkSRq6Zj1lKRry3R73wQcfcOnSJZpWzMLzPA8ESpGd6MZ0J7nQti11XZNlokXcjf84GLn5gQRFWYqpemdQp5UiTRKqSkyovXNMJ5NeY1trQ57lLBYL4jiWOddYfNMSocmTlLptieIE72VPWq3XFEXB66+/wR/83b8DwVxZG4VtG/GNcU5ybu+CwV2JbVtm0yn7+wcBBJfc0+ODfJTgNNJ5NdjzXvDMh8/9i+Rbn/ea4Tl2weKLjiHrdwjqwjb4e1HxYnj+vmB+AUu4w/46XeYvcvzcshIh3JIBPIhmuwqlc/IQlVZ4S2AHycBKjEKF9hbnPFkmlRKPGFudPnnI0Wf3OT8+4fzsjPFkzPV7dzm8fgP0VEBP61BNI9WJAGB6r0Kg7DcfUoXgMHzGDRDh+aN/+F/zF9/6c6rVGo/n4PCQqnG8/vprvPnLX+PGvXuMZ1O0F5MPExnovGpCBWKxOOPR/Ye4tsW1NccnR+I+bCLOTk95+ughjz57wLooMHHMfG9GPhoxGs1ksa9rzs5OOXryhDRPWS+W4CxZnnJw6ZDrt+/y+i99nZt37mBCxYgAvHXswi54nU4muKbGO4W1NTYkd9oYXA/Yhc0/JH8KRRxaDqNI9BoffXaf997+Mel4RLFa0zYtN+/d4cat22i1qYz9ix8Xgexf5Heff2yxMNjg6J0ZS/867/FKoeOY0XyPbDbFR4qP/uL7KH+Fm6+/iUlE31QrE8oXgwQcibd8981/x44XPeN+0/QMrrsDIwZIQv+bcI+8pV2fUC6e4esSW62p1yvqtpYkMzJ4EppViXItrXc4E6NRuLbpW2G6CmiXlHWs2o0LeHDuDAFrxyL3TjaJ7vdi1NayKCta50nOFyTOkiWGNM9EpzbIYORpSlNVpCback7uWEiEIAElAa2YLSV4T/jcvm9l00qRj0QbSsURcZyTrZc0VYUzgRngnbg5h/fqzTsGAYve2UyGQZtWwqLwwSDOmI2hxfL4hKv3XiUdT1ifLnqGn22bvgVJK4+tatENjCKUamiKxUCjMEwvFVjaA22koU6S6uUwFC4kz53OIkoAOtc2uFqKBMVqweL8jGJxjtaa6Xwe5uY+8XiGw1G3FpMklOcnKKe6jyOggHe96I8PgYS0QFswEfl0/tICTF/42Fn/Nj+PMJHm+s3b1HVNsV4JyIKnqWrquMZ7aJqGk7MTMIYbN27inOfhZ/cpliuqUgDQsiwpioKyLIO5RczhpUNmsxnee8bjEaPRCGvbvjMoz8UgwwQ39SjamJ1E2kgQqEMxLyBoijBnbQA4FYG9sgm4lFIcHx+zWCy4d+9ef7nD6nu4Af13XQJrQuEKtWkr1GE/9EAUGU6ePZG90Tq6tvyuU8EFSYS6bmhbi20tZVGxWixZnJ1j25Y8m+CtIzYRSZJgkog0S0iThCTLiOOIs5MTSdqePWV5fs7NWzcoVgWVtdy+c4/l2bmwlbXhbLHkqtsUnbrPupXghkngBtffsf2eX9bVBd8GUBH6gijQv0+eZ+R5xmQ22TDCTUScxFuBZ/cM0jRFtRatJeCN45jDwwPKsuD87IymaUW6KE1IJznL5YIfff/7TJMxZVmgxxO0iUOs85fT4vcv9fBsb42DMPWia+mL0F7ABB1c7EWnla2C1s/K0/v4Bw+uxYfW4apY0K4XuLbCOxsYwQ5bN7TW0ta17LVtiw8Mt67Q17H1ZTpuEpiOmQIDkGdw+R3I0jQtmIjUOu7/9C2yOEI5aZc2bMZy0zSsV6vQIqt6rVTRVzUU6/VGEkV5IrUZe11y1rl5d0n8sC1TKQUaAS69DQn+NpClOnBtcMeHiVrY3rb2PxPaxDsm8wac9iFm2UhG7coraC2Mw64ry8QR6/OFgPV13e9rxhjGszH7lw8YT+eMJjOifIRJM0yUgDG4UKKXvdgEjHCHNaXoQbkXMuU8+Lalbe2Fv0cFqRBvsb4lGY9p6ircmOGdezmPrfsymHvG6KD7vg1UdnmB6vYxHXH58mV+8tZbfPzBe7z+pS8zGuVkeU7tHEkcoxF5CR80r1978w0eP3jEo/sPuHLlMgqNiWJee+MNrG1o24qiLNFK0QYmmO86Z7x0jo3HGz8OH4qgu872nXTLRcewHXm3kDW8J92ccoN71Uu7DAsRbK93w880vM9DYLbf13becxdM6ed62/bEoO7vvfc8fvSIYl1QNzKHjDYc7O3hQ143XBeGn6V7D9FX1jjvWCxWnJ8vWS7XLBZLFsWa0WjE7dt3SExEFG3Yi3VTY4zqi+T5eCzM46KkqSrapkGr7fvV2DbEPq4HtlEEA2kxe+7NDcMEi5KYpq4ZjcfEaUI2nnBw6bLsqWnGaDLm0cMHnC4WvPvBh9RFyWq5JMpyfvP3/xb7+wc8ePiIn/z4beb7l/gbv/+3mO/N+Pidtzh9+oSrN3N86Ox6bkn8BT6+KDD8s/52c3S72fZrOkBumKd577F1LaCuFWNRpyW/K5ZLHtx/wD/+B/813/rTP+PK5Uvo0ag3HpUx75lPp2TBHK6qyiCzFNO2AuZ2JsDL1aLXDwYZT1mWUtclUSTFim6eV1W1ZXDag8KD/BjopVC6a+wkXJuAvXVx8Hq9ZrFY8Nprr/HZZ/dpmqaXo4iMoa5b2sZS1zVJkrEqzmiqmihNWa7WzJOMX/+tbzCazaXT1OieLayCCa21jcgeNg1HR0d89zvfYW825zd+4zd4/fU3wmeLJd82HTltaIjZkZWeZ/X+rOd+0b7Y3atdYLb73ecXFl587P7d7r93195d8Pnz2M9DKZ4vevxc4LDf+QoBLN3U16FzoLctsbLUWKJI0zYOjZG2KGWJ0pwoHeFQ4FuOHj7gx9/6Fh/+9Kecnp5itOLg8ADvW6xrmV2+wWw2BzTlcsHyfIHznsa27B/sMz/YRxEkKmRs4b0KlBeHaxo8UNUVR8fPwHt0GnPr1i3W6xU3r+7x1vf+jJ/88Hvo0ZR/9+//h3zvT7/FeDLnd37v95ge7HV1S7xynJw84/333qVaFxw/fcTpyTFtURDhwbZERjGJYpIsprWOs0cPedY6msYF9lR4ACbGuxaahiw2RNayePKExZPHvPOdbzHe2yPKMq7fvcflaze4dvMWWT7i2ZOHPPjkQ2xd0RQlWEtdltR1Q922YvwUx0z399nbP+DS5StcvXGdNMvxumMR6BCIakxkuHLlEo8+eI9nn3zM6fExDx88xCUJ/+l/9p8xPzj8eYbKFz6+2GbzPPD4M0/affuC33eJiwpg3E+//0Oa02PSRPPs0Zhrd14J7PgOrOiShV3Q+eU4+oJCOIYBlvx+WOThwp+9aNG7eFEShpHCY+sV9fIUW1XYqqA4P0MFMM86Kyz3YEzTNCHJ1K3cfx8WY2tpncVa39945yCON9pJ3WeVAlWQnPBeqrdxgvUtZb2kbVpar7EmIsKyN8tJ0ogsEcPBLig2JhZgVT7EViC9zcAJC3Wo6kdxLLrrQSdRhxbcHliyLU1dM7t8hWp1Tl2sBUw2bd8qKNqHwoaiq0QKQhOY0T3C0M8hZ0NSqRUu0hirQ8eAgMbVekVdFMwPLrF8dtyPCReSjCaK0CqiKioBtLRojfVAlO+AbgHDO8Bpa8NRiq4FTysN2hDFqQS5thUZi6amWa9Ynx1TrZbUVdUDDGmaEKUZ2XyP0d4B6eyQeDKnWC/IJlPOj56yOnocdC037ZFhhPZVG+98+Oqw3qHieMNq4eWq6QyDgi9S0d79O4UGrXBeE6eGqGMiWIv3jroq+5bsPM/Yv3QZBTx7+pTz09M+kQEJLk/PTjk7O2M0GrG3P2M6nZAk4n48GuWkaYJSaQ+CGCNFXGMMJqylRkuyJYBJJHQK50JxJEhK0SWG3fWrMBc2+nDT6bTX9esKRt21dwUj2G4p78DSbgxrbfDOk2aZyNcoRbFchnHvg3Fdf1exVgqutW0oqorlas3pYsnp6RlHz46wQVohThKyPCfNMtH+yxKiWNHamtMn51y/doOz0xN823B2dMLe/j6jbMLifEljLQ8++RSlNTfu3uXy9asC8muNt+C95fT0jOls1icU3dCw1m1aGT8HiLx4AD3/7/5PFfze7/8+jz/7hL1JLprPccxkMkVpQ5amGC1u513C3hWdGicO22dnZ5ydnYGHyWTG/nzOjdu3IInI8owPP3yPSBG0n50Y4+JfWnRpI88RkvkvdCmqB5kIwAt0Ak4/+x23ox6Pty31+pS2WIUOjRLaCt+KuVwTAOE2aKP6UAtvmwaPJ4qjHvBQEIqi23qf1lrZ47bMX+REik3y6Z3tge+RlnhcR7pny3RO6V1htGlqcVLvwVe5e7ExWOcwaSIxXNhftfZ4b7aALdjEB51ZlkhFyP3pQN5ujxsWOYdAc7dfbgGsg39391sp2Zv0Vmv9Nvgl4NvAMMt5dDCdy0Y5cZqQj0Yi01NWYX0TL4N8NCIZ5URpLixhEwvjKkrAiHmt8kGaTumt9+0ms6yBz8d1u+uEgj7u6LRdhqCdDDcxmlUmxqQZSZr1a6qobQx5oJ8PRv+iHbusrN3fDUHKTWYgX5UCtAC7d+/c4bNPP2NxdkpZrJnOppw1DfX5eWgXD88oirh17x7LVcHXfvO3mM9n/OTHP+Y3f/+3UQqOnz7h/icfszw+CuQeIJCyhmO024P6z+wlBjShgyeOYjpig3e+79ZR0H/tGHu71zsETy+6Vx2hoZtLz8UuYS10hA5VNuNzuGfv3vvuXg81NIefZQPmblr9hYRgWSzOmc1m3Lx5kzTP+3yuJ08N5vTzc1vAsKppOV8sRZ/XOsqiomoaDsYjHj18yCjLSRIpBIPIAMSxoa5rYWGuVphYgDof1vU4iZhMpyitqcuKHHrZKFlPfSiO2V6CzphNu7wJRlwKRT4ZM9vfJ0oSlssVJ8cnPHn0GIdnPB7z5a9+lRs371AUBcvlkgeffsYf/Tf/hE8//oTEJFzam7N/5RK3b99gsjfj9PSEUT4RxqvpOhv0Sxc7D79+0ePnWp8G46aTNVL4niF+enLM8ckxf/xHf8TqfEFdlJweHdGUJXmSsF4sOQhdWIvFOYeHB9i2DebF0lW3LtYkaUrd1IxHY9brNQBJKiDx2dkZs9mMuq7JczH9HY3GuCDL2IG9G1O5up8jwyJqZ2K2vU/p/rq8F2busGB5cHDAgwcPiCJhC1+7do31es3x8TFZklE0LZW1LM8XYj7sFcuq4rd/93f5g3/9f8jlK1cwseBVrQ8yUai+88GYqC+UfPLxx0wmE7I859nTZ1y+fIV8NJI4M44k1yEsW32hbjMWLioAdV8/b4w8ty++4LX/POOtW7uG/70Ic7kIvH7Ray5ap//KDOn8MEm6aO74wO4wERaNdQptInAQmc3fWG8ZzQ9ARbi24eEHP+UP/7//gGePnoTXiI7R+ek5H33wIdFoxOUbd8A5tHecPHnIo48+gBB4PzKGa3dfZT4/IIoSVCzi6621fPrhh/zoe99De8fRs2d87Tf+Gn/v3/t3aKqW+x9/xrWbN4iTmGWx4Gu/9VsUJ2e8+5O3eft73+HBpx/xO3/rbxMlMd47AVDqFrRiNp3zyqt3WZwcc7g/YrW+wurknPXijGq5EFMuNFFiqKsGQ07VtKSzFOc8q9UqtJfH2KYlDtowCpmgSRqhlMdVC6rijPefPOKt1tKiiHRMrDzTUUSeRWRZhlaGum5YlQ1V01IHNtN7P1iiophLVy5z/eZNLl+/wdWbN7h65y7K5ISGR6le5xk3X3uFD99+m9E4Jcsinjw54v/4X/7v+Z//r/6X5KPRv3Ty3Sa5/TkB4i96KIW3jk8/+IjENsSxIclSRpMJe1euo3wXVF/wp3/5n+av7OhYJBctGLvff15A3P189++2Dj8oGrUV9XKBay2+bURGQkXEaYbyLdhzlBfgt25q4jhCa2ibFsdGt6lpWnFmbjy1VYz25qR5ivZ1aK8Gaz0uaB6WbSPajYDHUVYtZjzj5PiEWCmSKGKaeGyrSbMRkQFtorD5ScXUOosNUi24jdh+F8AaY7Ba9WCXT1KUFZCzKda4kD9Z26JdjIpiqrqmqCq0ifE3bjG9chtUjD96jHOWxjV4Z3E4jHJotBSPXIT3KiRbLnSEShLSMZRMJ+8Q3tMYUNpJIGpb6mLNs/ufcXDlqrQcBeYoAbxu64bYaAl+XWhdc0baozoAXAaAsMHofTQ3G6/SUgHuvkfh2gpaR1OuqFYnFOcLlqenlOu1tE+lKePZjCQbEyUJUTYin+2TTWZE0wOauiaOE4rVQpjntgpacQgQ7WwYbV3zqsiReAQc9s7ibdvP5Q5I/nkDxn/Vx88KFIY/GzJxvA93Rwmw6l0AZFVXBBGN+rquiANTz1pPpA1pnFAVRa9D1jTCMu/G/2iUMxrl4f2C1r2L0NqIjITq2GuqB7o6wNqF6M3WwQ1ZUlKctYxGY1bFWpJVJ/rEWmmUUX07aJ8sGsN4Pufs6Ki/5t37sd0eGiKHjuHnhW1R1xXeizQFXmSxBJjsElEXPqUki21jg5lag7Oes9MF66Iiy3NmsxlpmjKeTcnHY5HQUp6TkxOqumI+2yeODG1T8/jRI1CafDRmXVYUa3EhL5ZrQHH//gN+9Rvf4O4rr9KUFZEx/PD73+ejjz/m3/i7f4cklkTfDdhEQ2bRzz3O2OxtHdzR/Xy2v8f127dIvaUoqwCCx3ivQuJq+g6Poih6pmknMdG2LU0jztSS+BqOnx6RTHKePXrE/Y8/JosSTGR6gNva0BXwks1X2L6Pw6/dPb1wjw1Jzc8Ln8nqL3O8m2uuLajX57hyJfr+dUlblWJIipO9t2lo60aKRaGTRCnEhAhHU0nhJTJRMEsTc9geQGKzNyg1cHvHhwDO9+zhjrFvIkXrobUar9q+60Pmcyc7NGQkI/E/oI0mGolGvrXCFqwai0lzvBPJCjn0YD3cNm5xrt3SVe0SZD0Aq4aJlPzugnuuVAD2uiJtkGqynUFWB+rLGti9XxRFaKPxvjvH5n2VjogSBbnqA+AuLhGwUbqajI5Q2vQAMG5jaIvQVnuJre6zeghxSQdmbn73ecdW953aaBZ7JJHXkRj1Gu8xo/HmvJ2RFWwtLC+JotNOvCzrvxwXgwA+5K+EvVZ5h/OQ5CNio3n7u9/mpz/5MfP9PW7dvIlJDCbW2LbBRwkHV65w69XXiEwSOmUtv/6N3ybKUjxwYzQhMoZ31oXoBFsr8Zu1KOXRWmLYzmS4i1Wdd0FCJeo7ySAUYM124WIbcJVXuRfkAT2IGoBYoJdrgk1RdghiDPVNO5BzeL+7+dC2raxjgSgRJwnlet3/bJc5Nzx6rx2tuXz1CgeXDiVPNka8U5SSdWLnHMN5r4O0jNxfx+zgkOPlmubknKqqaUM+M5lMeHxyH2Ud+LzvdKzrOnTcDuQ7jOqBewF3Fefn56RZJgZ1UUSSZUxnU5I0C+zjEJsEybwoioiMoWlsAPXETHTx+Ckfvf8hT588IU0SnPUsV6veIOy7f/Zt0JrVes37773Hk/v38baV90xSFqdnFNWaP/2TP+Lv/I//J6TZlLquaJsKE8V4c8EC+At8vGhs/AuccatA2B1a696EtCMoHD19wp9+8094+PABH3/8kUh0VDW+tSKVaC2JiRmNsr4bZG9vTpYl5EFGBGC1WjEa5cz39jbSbGHeTaaT/vN02sF5nqEUoTBfkiRZP6e6cdcxgpum6Q3mZrMZTVWzXC3xzpMkCUVRcP3WTZ48fIRWSnCqKJIp0Vr2ZnNOz04p1muKdUGa5RitOTs5JUkTVosl535B7Sxl26KyhIfPnjI/OODf+Q/+A373939fDN6VonWeSCm0Fj8blOrzASFjwOnpKWenp2ht2LsxZzab9+tEFEXUbUMSB7kMtoHW3bVtWHDaBYh/FhC8CwDvArrd+/28RdB/nrH6IibxsHjWgf0dWeeLHv9cshIEZsM2C8KD8tSrJbZpyKf7YtDSNthigYl8YP0YrIXp/gHKWx599C5/+F/9v3n46QNxt9cGjcI2DXGiKSrL/uXrREnKs6ePMUrz9OFDdJKST6bM9uYyllA8fXCf07NTnh2fhIQs4dmTZ9y8c4fxKKd+6y0++exTptMx//S/+UcUZ6eMZ1PKumI6HrM6W9KsV2itqYur/PZv/w53X3mV9XrFR++9zbf+6Tc5e/qENJNW82K5Jo8S0kQCPTHf0WRRJDpxWlPWjQDAKWTWUTcVZV1JQ0toM9Cdk7RWlE1D4yxROiVLEjQWZ1viSBFbT11brGsZjzJGk4wkUqLd6BVo1dP5A3GOJE1pnZh8LE6Ooa05ffKAo2dPee2rv0o+HkGgxnrg8o3rLE7OqIuS/YNDFuuK46NnFOtV3xLfDbrtsTz8h7/gZ7uvDUmD52e8ViLK4f8vfs+f99iMXB0Z9Cjn/gePiKKI8WjC+dFTpgeH6M7NVnUTcZsl8tIcO0nobnX8RczEixasFy14/WuVx2NxbcP6/CmuKXG2prUNKMN4f4Z1UK9OKcsSbIPzG/O1pm2o2qC7EwApW1taMua3bmKynNPHj2jPF6TjGK/o5SYAWuuIkpx6vSKONA6Hdp7m7JRqWdC4lsnBDJNGuJi+tWt4DR0zRoVgMdKaYTW1M1aKjbAEhD3lacJmO0pjDMLi8wp0nNKgMHWD847JKKZYLrj95V/l4MZdFifPcNby9NFnfPyj72GrIoAidtP2HpjE1klb43Ob2QAQ7AIAhRJBTxxoS3F2zLl2pHFME0XC0nQGb3WvH9ddT0raP++tggEbw5LdAH0T8IcWfddgq5JmtWRxcsRqeYb20oqaTWbCJs0yktGILJ+Q5FNMOiYeTUnGE2xTQV1AE5huzuHb0LJo9EYj3vuN9r2gf1jXmSIaTBxfsH68HMfPE+Q+N5c9iH8vojuqAgjrHJ0GpQ363nVTMTvYA6TYMZlMeP/kBNWDpzVFUQR9Mc10OmEymSCMv0RY31FEFEfEUdIzEVwAa1rne+CitvTv2zO9nQ2JIBwXp7iua8N34w2SYHY7DMyctZwfHW2AN7+tLToEgbp53e2PPoxXF/aijgmpEMkLoxROqV7zrTusdVRVTVlWrFZrVqtCgtQ4Fl3dyZhZYPWmeU4UGZ4+fURdF8RxzLpY8f577+O8xXnPpctXaL0nS1POnjwB56jWJc460jznh9/6Lvc//pSzs1Nu37zNT996i5u3b9HWFWulyEfjfmgbozc78BccNxft2FvgcsCSRPe9pfWWOI5IQsuiicQRvQMFOmZKpxGvjehyeS8FcTEcy8XQyXmM8/z0hz/k5PiIS/MZynta19LYGk0kANjn7FO/6MdFQP1WIWcIvvH5kcXnJRzdr7x3tHVJszrFVSts0wbz1xoXDF9d2+CcGL0aDU1reyke52y/33Skj/WqQBmDjiJ8K+ttV6CEDlhh83fOP7dH9axCaynqhmtf/jr3330LTdMnMkPT5o4FCFBbSJOEWGvwDmXkfHUrOp7UFTpSmDgJXREbMHiXQTy8j8M9bLhudP91QFsHlHXHsJW4O88wKey7GFChZroN1Hbs4d1kU6H6nyttZA1UGpTBKQFqRaPagNJiGGs2Gv+ivRjOtFt82BqGm3j2oiLFJp7bLhJtvSYs0CIxZSBOSNKMYrXEtQ0mCcm+767tpYqagYtYZZvr2X6N/G5DaBlq81ryPOGtjz6gWS75yccfMkkTDg8OKJs26O/CnVdeIYqSUNzxqEgTB8BDIfPaBWDIta3oyptOXnFTiOvA037MeYjDGCHsgdvrjuiYq7AXypgdmB6xuabueiAUP/zAHBb6Ion39B09w7m2Ow+Gc2YIbmz+TsZXWRT9z4ZF326f2dzzzc+9k/g7ydIACm/u4+78746NCbQCJ/lIUdU8fv+YqzfvYGvH+2fvMhqNePXNL/Hs2VPW6zW2blgsRa6tntWhEBYAwxCTZ1lK0zQB6BO/jnJdYEzUy4IoJTrfSivSWPRftdIB2BNDrjp4CoEU+qu6oikr2rpitVqFOF2zLktWqxVFUbBYLDe/856rlw7J83wDrlUt6/Wax/cf8ulHH3Lz7h2ePX6MdY7EdN0YneHoy3WoTZ3tC75+u2DRf083fjZj0LatkIeMolguODk+5tt//i1++BffBe8l/laKS3t7IjlWN0ymM+qyCvIOluVyyXw+73O3NE3JsizcbyEmplmG9R2oPEIrTT4ecX5+zuHhIWma8uDBZxweHvbM4aoSiagkSXrjym7uqpD3dr4ZdVmKZwuiCR4Zw8nREbZtca0FLWQipTTj0YjTkxO5Kc4z39ujqhuquqGsa1ZFSdW0HJ2dEWUplXecnp3xn/wv/lNee+NL3H3tdZmjBDZytNkHrXOSs6Mkf9MGZxvSJCXWhr29PdJYOu41iqIsMXHU6xwPCSlRJGxixRcjuv0sAs6LgOHu+4vOd1Hxa/fQA3xhaKz5eZ9l93MMf7+7TgJb6+QXOX5ucHhri5RZErYWYW015RK7PmdxbklGE+aXr+O5THF+ynpximsqlIlYL885KR7zx//1f8PH739Ka1tU3Yj5QdAhK6ua1195jZv3voRWlmwypS4rbr7yOvk476sOgU4HznPTObxre4bKvbt3OD5+yntv/ZBP3v4xvm348Ft/ShYZ0jSBYgllSdVUzEYjapNTVhXro6f82T/6h3zrD/+IsqnxbcM4SxgZUE1FEmny2aRvzxEgxjAejwXgakqcc2RpyunZQkxryhrnpE02NjGgxJTCWbxWWAez+T6rxYK6asmTVIxeImEyWSuBbduq4HqsiaMIo6Mgdi4TXmvVJ2k60viyZnl+TmKEvj1yI55++hF1UfDGr/w6s/ke3od7GBnufeVN6rrGOsfo+Iyvf+2X2d8/uBBWCUWef6HjRefwfhiM+IFL+1/OIXGRIjIx//5//D/j6eMH/PQ73+Xk7JzJ4R7l4pzoYIRXHStGsZkBfwkX/i/1+PzFagioXPQ62A52L17kNo2vXXJarRfYpqSuCqJYU67W2OUZTdVgW4trLa3dBLW+sVjryOYzVufnNFVJ3Toak3L3ja9wdP8+7cNPybOIJA36W6itjV8pqIoKjQYHzipsYymrAuqCvYMDGufE2bW1gakkz1YbLS2RQTe9CxRtYA7HSQIK0iwTU0MvyYBRGqWtGLMoQouLtIOVoeXWOI9Oc5RrpTpcllTFirppmOzvEyU5y+U5BDC4bVpptQ9V0CRJRKPTelQSByfnAbg22Kh0kJ5QSljEShm8M5SrcyLjiaNE9F+F9kTbzTNrUUnUJxqd2U+/znvff55O813mpbCURGtYknfbNLTVmuLkGevzM9qmIctH5OMpcTpCxwk6ikjHI3SSEeVT4nxGFGegoK3WNOtz2mJFXa6xdYUPrVpxHDOZivmOCoYmdCzPAEIprfBt0zOquszUb13Ly3VcVNAZ/nwIhvbPCgAX0NANDKhCYmiMFvZsHA+KJFBWBVVVYq1ltVpRliVlcMnem8+ZTCdEkdnSL9S9HlloB0O6ALox4rSsDSYyNG0rvwudQlVREEViziKFCotHgGrbtqRpQoEnzxOSJO4TSzGsG17bTmvW8L4M2MOyqGvRPvRyj0ww3uyEW5z3WNfprHaxjszruq5pmpbIRKyLgqppiNOU1770BuPZFGctRmmSOObx44fUddW3ulrX4mxN3VqSLKVpW/kMWvPk2RFHjx8zG03AirZxkj3m/icfoyNDdXbOo08+pi3X/PAHf8G/+x/9R+R5BugNw6/PYi4YRDvLtt/5Xg2+7h5VVVE3LUZBnufkmcRhUZT0U7BLzDtWh3MbOQQxBgrGnMgaG0fS5tw2DYvFGZf2ZkSJmGCZ7tm8VHvt7uEH9/MF19EBSt33arNO0Y+6F55+cFqPt5amLrGlxNvOOmxTCTDcNuBFUsY2Nd5bSW69sGlFrz8Ao3gBlVuRZNNRJOdv277bxNoNWODDp/RemH7dnum8J0pS6mJNZExfcG2s4/rrb3Ly5AnFs8/QaqPTH0VpuJyNJEXjNbq15JHI0Hgr8Uayd4X29BkxLVoloj2qtkfxMInr1saOUbOrx7f7OjHo2YBPUlBrMVEsusxhD+1AtCHYKt9vhu8QiNIDw9Zeo58hKKsE0ELhjUFHqaxLzkpFW4l5T7eGodRwGPSAYQeYbQDjC2JuL0Cv7+LaDQoyuDc7q4LvIj7Vg4we1WuE27ZGpWMxJO+eAxcXSl6Ww3sf/Be2x4rciVDMVBuQcgN2eh4/esJ8voerGz786AP+6A//CV/92tfJplNefeNNXnnzS4ymeyGuGyT94S1a7wQg1dLxUrcN3rWkcYyznrJuwj6wAVmHRIHhsZ0DOLo38d6D0xgd9eBqx6DdzCEfQOEBM85vAOTN/JHvoziVTsAtwPd5oEVpLeaXO3GNDqDp8Ge719Mzfj0YE6FDS1vbtmAbmrYljmMIcz6OI9rWvfC+9PNUy7oXK8X68VPee/ttlIm5efuWeAPUFW3dCHveGOqqoioryqLs46GOPR1FEd5ZjInEpDYSGTqRn4iCB0gw1NIC+sZxLPMdMNoQR1GIm+Sa2sAGreuathJpoKZtqdqGoihxDopiTWstSRSzP50ync6YTMbEaYyO5NlWVc3J6Smr8yX1uuS9t9/m1t1bxFlGXbfkXdu417xUeoo8Hyv/i51MY70NGtBafMiRTpgPfvI2f/JHf8jyfEG5XhOH12VxTG3h6cMHojGuhMWb5Rmg0ERcms04P1uSjzLyfMxqtWB/f5+zszOyLKWsCpSSMbBcLplMJiyXS87Pz4iTmKOjI5RS5Pm43y/LUogIAppu5Jk6QLgJxrBKKVarRZ8zgWBUBJKBV4okyzk5OeHw8JAnj5/QaEsUxVIIrErKqmVd1TggGk1YnJ7i4gSVpTxbnvO1r32N/+jv/30ODi8BoJVHB68rG0zYu4KUC0UPpaXo2TYtkYkxHozzxN6SAqMk5eTZU5TW7B0e0BWrVCCgiKqVCuHw5vkP5/hQdg42seuL1oUX5VzDc+wWwi7Sbe/ijg6s9Vvr6/PHMK/fBX5319Mu1+l+niRJf+6fh1Tx88lKhDfotq7hhci/HbZaY5RFaUezPufokWN2eIPJwTXS6Zz12TGr81OK1Yp/8v/9B3z67rtUoQ2D1kJwLW5by1e/8hV++w/+AGWC5k615vjhA06eHtG2JT44f9aNo2pbYaRFEYui4PXXX+Ob3/wm6+Upjz/9hFmaMZ9NyPOcKMlxzvXaQNPplPV6zXpdMJmMSZOUoiixrkWpikmq8ZG4r1vbSrt12GAUSiprSUKeZb0Yt4kT6qbl7HTBcrlCK0Onc6bpKqMgrW+GzrCiDg6RAEVVkWYTjCYY87jQOt/Sm8yp7j9QyoV2YYf3Cus8xDHKK5q65fz8DGNUqAQ1GOCn3/kzvv7bf4NkNA00fo1OMl7/pa9yfn7C9ZvXGU+ndDqi/zK3hYsm5F/Bu4DypGnGjbv3uHbtGu//9CeUy1OK9YrJvsWqhKhzKv6XfRP+so4Bm6E7hovjRYvGF11MNiCMBxzeO5piRXH6hGa9oKkKnG1pbUsQAw4sz9AW5TxNI7qF+KAvfHxK21bU1jK//SrTvcs8/MnbpLolmyRERlokXNAjVVoLG9L7YH4poHDTSJGorBvWRcmlw31GoxydpuSTMXa9QjaVYASgFWhNR4ToNwBAmdCGjhc5Ba+EedttDtqgYhW0wRJMpCjLCu0K2mIlfzOfSkXYttiqYHl6gtWGZDSibUrOHj4gNTFex9Lq7+Tza1MxVdOw0EPTWLTxGBUYK93GEsAnrcVUK4pMv+E5L0705brARlLt1oPEFRBDorbF+zQ8W0LiMASduw2ua9HTYtxoFEp5vGtoqoJ2uWJ1ekxZLkjSjNlsj2Q0IRlPiLIcE2WYJCPKJsTZGJVIYtMUS+rlKW25wtYl1XpNUxXYumJ9fopWnijNSMdjdJxA0G7sdBadtTLWbCPg+2pJW66J0umgyPNyuaVfBArvsuKG87lfM5XCKUJQ79HKyFjBg3bgFc4KAJqmWW9eBKKtXzfigtxpElsrLtlKQ5puNA2jKEbY4huGqGiSyTgUImFLW1d438meGDGoQvUaZm5tqYpSkk9nQ1IlxRoBohVVnRHHMXme9omVd92yLDIwkk8FRlVgxzm5MTKSQ9Fnqz01BKU66KW3wRXaeT8w5hJd1c79XDlPXVahrW7E/GCP3/6932WyN+d/97/93/A7v/GbPPzsPk1TkeYpdVUJaBbWvsbDJE5RztOUJUop9vb3ePv7P+Q8PiM20gacZClZnaMUnDx9wnKxpG4qThbnvP/OW+wdzImTHFTUzwM/MAzux8vnjTG2tzavZE5148k5y0/f+gnaa/I8J01SjInpGgAV4LzF2oYsy1gul6G4Juzh9WrF6ekpq8VSdDaVJ84S0smYr/z6rzI7nDN5d4/i7AyiiMloDK1DDZhcP09w+4tw+O5/SroypHD2/DUIKBzu9Y6EVg+6XHD+7neqm3NlgW8KfFvi6hLX1Fjb4GyLa1vR1CYUaLQKNSN5tpFWNNbJGo6Yvzkc3sjztW3Tg1ZD85p+TVIKnyS4co1xNhRdRNbIIqY83lophDiHdi1/8Uf/mCiWeLdLaIzZZvLqAHpOY4UxSopGrtMehyzLaaIEartxhofQOu4CSKe3kr7heHqus4BNgqW7YpbZTsoiYwTo0QKpKi/JLeG9tFIigaO78wat/jAGlAou9qEg5EMSq40WqQgj3i3ag0lSSFM8GpwVCSvlMSiRbQjgkeuKXt11aFkvtYlkvUP1790BiM+NpvD5fdgf9eA1WwWOABKqQeKttAYrr7C2xdYFZnyIx3W+4C91jacDezsi1IvSkg1gGopCSuTNmqphPJszns0gizk7Pebo6Jg3Di/jvScbjem6oLBWWHpGEwVCggqMeusdZV3RtjW0LbV3NLXtzQ6ds30OuV0o3gWFNz9TeijVsGHYb7F6e4B/+8K9Fwmq7nduAER476X4xHbsOFzLd1nDu6CLDwxD3ce2z5NYhudoGxt+ZrFhD+80lTdSG8+TZLqjWxP6f2sYZ2OiKKJYrKnbNTaAWW3TMM1HZFela7ipm16L1XvXF5HjOKIo1thW4pk6itBK01R1DyrpAPo3bSu5hjFEcWfKJfM+DtJ3VVVhnaPpPEq85FVtI2bboGhtK+uQ0kymE64cHDIZGJ95LXry1lqygF2Uq5K6qhmlEadHR9x95RXKdRnGhh7Ehy/n8S8CFHcFU600OlJ9rlmUaz776CN+8tZbPH7wkPlkgvayJ2gFdVUSxwnz6Sx4MBiKosBMJpydnTIej1mvVty7d4/pdILH9c9jPp+xWJxjIpnbeAH7Tk9PyfMcYwx5nvfXJgWGVoxNAwgdRRFRFLFer8myLBTsJU7uJOLSVPK9tm0xJurjN+9FO9laR57nPHv2wicHHAABAABJREFUjDRN8dajlEh/NU2DdYj28WJJWZVcvXaNT779bY5Oj/nrf/N3+Pv/yX/CZDoTaRRj8KHzzquN6bo2JhgwGh4/fsKt27dQKNljnZBN9qZT5pMJRine/tFbvP/hB3zjd/6GxCOtEyP1cC/YWce6e3TReNiNZ4bPfPjazxtTw/+GHUi7mMuG8Oi2zj/8+931cfffz43LwZo5/Pew2/nzwOeLjp8LHO4/oPf9Rt+/l1J452mdFX0jQnDWVpwfP2T/yjWSeES8fw0VpZgk5Wu/9hs8+uwRZ+sn2NaivEy8pl0TJzFKwYdv/5Dl+RltVVKcnXJ+csLZyWloRXeUTSsbh0Qp4msDfPij7xGZiMi1vHbzpugUmk1VIe7aNQJTaDQaY62jKCqSOGY8mQhQYkV7U0Uh2CMijgNFv5FNOE1iqRrWde+wvgpupkKiMkHHVFrEvPM4P6S6d4GW3N84SWjbhia0zOVpjNYepSNMb2onDEetRd/ReEUUib6Va6SlLY3BKEWsI2rd0jQV5ydnpFkqC72XCtFPv/8XfOU3v4GJE2FgAdloxJtf/So/KL7Dq6+9FkZhl9cMJ8yFI+WLjKYXnOPzJiB8vvZwPxi/wPsP31HhlUej0WnOG7/8dWxT8ekH7+GbiiiLnl9U+OffZH5Rjm5R3GUW/Kwq00WBpuuSBW+xVUF19oTi7Bnr8xPSKMY1DU1doRSYKKKtm/5c1oqBnDYR3jkBdOuK1itml2/Sli33f/wDpllMFHeOrp1+bDCgc64PSoFwnoa2tZwXJWjNZDZlnKWB5ajxbU0UG/By/caYHjLsGMNdQBkF0XRjTG+c1W2eUZCTMYEVJe22GtAkSUzdrCmrGqtg9fQhbjyizVLGcUK7XjDZ2xdTOmuZzOeUqzlVuZZim7MiCefFREA+pyaKkIC+a78Jn9WFljWgB5JBU3eakk2L1Q0uMDnkGWyut3uuW7IR0DObJJHQqM6ZN4DLHfDkmpq2KijOT1mdnIL3jGcHJPmIJBuRjKZEeY5KEnQ6YTQ5RJkY29bUi1NstaJanYk+cVmIlETbUJVr1mdntGXBaDIi398jysdScNO7SYVo/Vnb0pRF+Ewlz8lKvETz90WBwvB3sKleb/8t9NcdQNu6qplMR/24aduWfDQKJkKa9XLFT370Fk1Tk4/yPunp3qPTAY/jjRxL17Yk+p2+nxNlKePWeUfTtpRl2Wt8dpXzqpAEpCwK6rLamFxZC/jerDCODWkak+cZ0+mE+XxGnufEkfgCaCXFWh2cjr2nTygFhxHtVKUlMO7u6dBdXRKhTfW9a7sbpRkeka2xQNM6rIflag0KxqOcg4MDDi9donWWu7du8+lHn7A6OWU6m8q4BOqqCiw90CaWYk3bcv/xY26//hqXr1xmNBrh206Ow7I/mTC/vM+tu7f53p9/ize/+hXQmt9543UuXbrMk4ePuH7rLiagtH53rH/e2OoApfBv3/3D+747DO+4//EnvPvWW4zSBE8nxbM9hzbtcb7v3pIEuaEoisA8rlEKxmaMjiOu3r3DK29+BR/Bl7OMJ/fvs793KPIA2nQY/8t7bH3455/L7nzumLvbf66eA2WeO7zDtxVtvcY3JW1dCRs46JJqUfEXozlncW0NQVPfKmklbXvW7fOfS9qkt5MgeV2HFXpMW2M00p6qNcopIkC7bj4LM9kYg1aa5fEzLl25QuU3HQ9RvElL+nyjA32VCvqO8v5xZKhPHhDj8VG8Aal7SRPRte7G6W4iNSwO7ZpnqQCsPK9vGtijg/MN2TodiKDoYqXNcxsmqSL/0m+gW3suBLBVC0isAplDmMMe54Q5WJcltq7ozMM8wuhKswwdZ+gowSQpmgQduhz7+wrBRT7ZHovhM3u3kQqQUau2AKLuZ/KKoOncXbNtqBYnZHvXoL/G7nQvz747PDZT4YIi22BMAn0B1juFRmObmnuv3sa1js/uf8rf/Nt/G+/g/ocf4p3l6PFjHn/ygBv3XqV1Le9+/3t8+v67PDl6xutf/ip7lw7ZO9gnzzJOnz3j+OQYX1VM8kwAY9cyzieAZ//ggMhsm7PujvthQUSS+WHnoJdibseio3t0fivnH4K5w9VKsa352+/DO6DxMMfo5vnFYMwLQGO/kZyhe08nRRgXuhYiIxI3z+cz2++9G0918YnD4510UOzt7dE0DluU5OMRtm5QSdLrww7vRxcrNU3Tx0QqxCZ1VYEXubxOX7auaxrbYmsroFYd9NbD+twBkXEkuUZd1ygt8hN5nrNerXDeE8cRkTfMZjNa2zAa5SRJwng8Js8yojgmTZJArBHQvmktVVmTxGKCmcQxEZ6TJ48ZjXPifAy4cE91L/nz38dDqSB1YLQUZK3l/OSUjz74kA8/+IDbN27y6SefsDwXQLfT+ZUus5ooPL8oinHOsb+/T5plXL5ylaPHj8XzKI37uXh2dk4ci6RIV2zPsxGj0YgoikTaK0lYLBYkSUJZFmRZuiUtMwSI41gkvTpWe8ci7qRFujzw9PSU0WgkzHtPL09R1zUKRVWE2HmFRBUOyrLChLF59OwZv/Vbv8Uvff3rvPLaK2RJxqfvf8DxyQnniyXlesXHH3/C/YePWC6XRJEYM379V75OkuX8P/5v/3f+1//5f85oPCExmqos+P53v8P3v/0ttPLM5weYJCFOEvb39gBFkiW0VgolzjuMEt8TeB5QHf5suLbs7vVba9wFoOxwDRmuR8PzdMdwzR3GHh1wu7X376xHuzGXFNHNVudT99oh+7k7dxs8Y/7KwGGQREICgi5wUIBQwW3bivGPczTOQ5QSKYNqS86OHnB49R6oiCwe8d477/DH/+SPOLxxk/mVSzx++Iiz01Nu3b3L6uwM3dQ8eO8dTj79EGU048mYti4xiNs3rRgdxKHlRAY1JElKU1fkSY5W4Hy8aTlBnMmjUKVonVR/nRPQsWup9T60whotrKXWybWFzQYFDhfEwT1tU5PoFIyhaT2OiOOTBSAtsZvWHqmooyAyUb9h4oUt0T28uqoC3d7R1DWjLMZEGo8WZoaFuKOKD56NMRptnQBSrQ1Zn8ZaT55ngYElIufWg7N7KDRnjx7y2bvvc/fNL4PatBvvX77G1Ru3OD854eqt2xciwb5nAww/yV9uKjd8Wz8ILl8EXv5zvUdg84ieW0SUaA4uX6GqSuIsR8LyLrpVfSD8MgFMFx1d0LK7aOwubD/z54BD4dqacinFHOc8Ok7xBpTX+NqFDVXYxdKqKe/bVfbrwPp0ScYbX/91njx4yPLRp8zymCRNMEYPWkA6nVDR5HI+tLo2DU1tWZalGDgmGWlsyOIIE0WYyARZFgMYvBUAxkQRRksbrBSOOuaPrA19y6vR1I0Ay9YponyCbUoZp0pa7pQSUCpNImybUVcttmmoCoiTFJPAenGOa1vOjx6QTg84vH6bq/deJUo0SjvOj88olitwLV5pqko25jiJ+mcWRcLy0fp5zUSlFEkShzkq3QNi8oG0o7Ix/Os2kzSJiSJxRVdGjG82wLA8aGUi0Box9DJ9e6xtKmxVsj47YXV8hFcwns/JJjOSfEKcjcSIMMmIpwfE6QjvHPXyiHp1RrteUCzPKYqVABre4VspFBSrJa6pSdOEbDJlPNsjSvLQVmvCCNwU25y30Da4EJANoZfnv3u5jxdVlLuj26WV2piWPXn6hHx0u3/NaDKhrWsBFr1ncXYmyY/zLNfLYFxhQiDZ4FxMFJm+yFoFqQ/YVOuHAVfTNKKpX5ai11uWoa3KsVqvKFZriqLg7PQM5X1wah71hhmi8buUxM+2TCZjyrLCto6DQ4XPIE4MXoMJ+xxeoZD5YcN1Wydjw7m2v3fDIE+YEwJ+d4ZoOjABnzx7xpXL12icpaxqWudZFSXnS2HCzmYz8jzju9/6Fl/+pV/i2qUrfPjOO0QmYjaZsFqvsM4RRzHKaOqqpm0azs/OMHFE4xyPHz3i7r17XL16hbauWa/WFGXBqlzxO7/ye6A1+WQCWnPp8mXWqxWffvQxV6/f5NqN25IIs834+7yjZxhsEGHpHh0U2ZQCbMuH776DcY5EadF+jYPOsNmwE8CHMSJBaVGUaG1om4b1eh1Y6A4TRcRJzOG1q7z6la9AZPB4ZvMD5pM5D+8/oCxKsslECoB+Ow74y9z7/yqPTQv99tfP+/xqg6J9wUhK4kDvLd7V4KTdXClo6wo6/V/nQouyo21q8DYAMq5vjY5NJHsCO+2V3vfAcAe6dmCOZ8M6jAJT2GkpjiolnRw+7PVKS6zlnaOylr/+d/9tFkcnfHT2TEDhMBe7uKQrNDD42fD+yWukBbsoKnwrkhYeCMyM0O3g+gHUyWB0xQ2RXdqAWVvPRpk+BpCwWD0Xg/pguubwG2A1JGTdNWklbec67JkqbKYdS1jrKIDBugdgtbjk9vPPNg1VtaYpCsqqECmpcGitJK7R0BYFrloRZ2OyyR4+tLPjo7CHb64vSboOoQ0wSBgn3rXYgQFTY31g/Kug1R5ukeqkDyQpl7HiWJ0eMb/ZQmcy1DNPX66jKwhsF5a3QYXBCNm81ssz8W2Nwok6oHdcvXqJsliwXpe0thYDbJ/x8Xvvc/nGLUwSo2PNwwefcP7siH/24UccnZ6hkojf+Vu/x91793jz9df45IMPqKqSqirZPzggz1NG+Yg4GRoPCYrf5cAdWDBkyklBZQPsO++JIpFn6XJMPwQ7lOofolLbOt7d+Ybsuc09GRTvu2Ay/K4LXTb+GkJccs71hUoFKGNIkyTEEdsSFOFMci26K1r5/py7gE8nFTP8vMP5H6fS6RNFwkbWWpOmKaPpDKUU68WiN+/aXK/E/3Wd9Pemy/OVUqDBtbKntsHgq7USl9d1g7UtcZz02qnni3PiOIFQUItDx2QVPE+cd1y5epUnjx8HY/pNLNh1DeZ5xmg0IklTMbtPEhSIt0tZ0TQrwLG3N8d5OD09YVWWHBpDsVyLxE+PC7jn7vl/Xw6JBRWtt+BkTff/f+7+7NmyJEvvw34+7OkMd4o5p6rMrLm6q7vR6CYx0QQIFNkUKD5LMsn0oBf+K9STTI+iKDM+6I0mGSkjKUIAyVYDDaDnrrGrKjuzcorIiLjzOWeP7q6H5b73PjduZmX2QFTA0yLvvWfYg28f1vrWt77lAtvrDRfn5xRZztnpKUYp7t27x3a3I89zrq6uIhFB0XX9OBa11hHQbVhVFUfHB8JM1oayLGnblsPDA/q+Y7kQIoy1hjwrRkDVx3pSRXy2xmiapma1Wo3n6LpuBIRTwF6y9vox8DAPZmhtWK1WtG1LWZY8v3pOUZScnZ2xXq/ZXG9G+TWltRS4dJEocXnJ3/q7f5cHr7/Oo0ePwHv6vuMf/7//a/757/5zzs8vyPKM5WIpgYqyZHFyB2MsQXne/elPcc5xcrDmv/x//hf8r/83/1uuNlv+8X/73/Dkow959OABVxfnaGPYbHe8fucu3gchnPU9QRmS1NHcVvk04DW9dzMwO2+3yUx81hiZz49PI9nd/MwLGvGf0eZ+1c3X0j3MyW3z179I+8Lg8NTSYhGmitR9C1EnUKOwecFQNxgcOkhalNcKVWa8/a1v8Mrrr/Hko495fnnGN77zHU6Oj/jtf/yPaa6vOFouyK1oV9p8QXV0l4/e/TFd06Hygrt3jml3W4KTIkUms6DEKfQh0HU9mY2RA5X0S4ykP2stWr7OjRPEOTdWZDVKjRuSNjL4MSZGViwBKI1Q/DNjCTayFVDsdjvaVlgSESuiqIoICktU00SDU6kEcg1SsCL+3XVdDLAr6rplWZXYQhzvvLBxgneURQkxGin16ATMHpykDOqYhiAZ9wGlMikARixQt9thrWbh17z/7k+58+A+Bycnk8NoDV/5xjf53ne/h+u7yECQFokis0hwHBW3jr80ET5tcL74vhz3Rex1//g/77hfoM1YAeIEaBbLA3bX1/iQNIfn1/GSMYfV3OVML82094wZO/vzLCK33bsKnra+Zmg2uL6VIo15QfCdsFBcTIPywogV4yVgrWj4DYPDdS04TzCG9995F+oNyyIjy/JYwGEOfjIa6X0/4J2n7R1t3XG93ZFVFZZAYYxEw63FWD2uB9bmMu+V6HWLvt+8b3wMHgX6PkSDMqBwKCUglBsGmqbGao/SMbgkOb5jkCUvSvJcwBHlNM+fn5Jdb7l//x4+H1Bk0NZ88rMfc3D3Pif3X0UBRn1AcIGhb8RYjIEj0QOOKUQu6b9N4zOxINPmkecWYxTWapyT94dBMi+CF2BdG5EGyHNLWRbYQpzVQJKNkDEk1fumNdXESuS+70Rberthd3mFD4FiucQWJVlZYqsKW5agM4rVCbY8ZGh3NFfP6Jsr2t2W9vqaenstGpfBM3Qd3g0E5xn6lqIoKKoFRbVCqWzUGhadqoAOwuge+l40MbtWii4pxdA2cbDsj/+XqX0eo+Pm5+SF5K4KWJplGW+9+RaoqWCYNYaz62tJeVWKqixx/UAe98l6V9P3/cgEbduWYUhFaQzOebxPALEaZSNClGBo21a0z7qBEEQWpWm2XFycs6t3+MgSVgpWyxVlVWGznLIShycxgdpmh+sHnj9/Rtf1wgJWirv37mIzYWSgiDITIRaei6zA5NgyOY7y+75GqGT5SCGa5WrFQIddrbm8uOLZ6SnV+kjqJjQdV9cbvA9kmQSbVAg8/uBD/vBf/h5923J0eIhG8ei113jvvZ/hvWPwnnq7o4vZE/0gNojVhmePn9Dsdnz1a1/l9OkzhmFgu9uxaWoevvoq7733HgeHhzz95CkhBNYHB5RlTh+B5IPjYgZm/Pwxvvd2wjT8FPhXIRC84/rynCcffUhuDVbrMRBgzKTjLGmKTQwGdON1JOb11dXVxNAOUC2XvPn1r7K+c4gLbkyR//Of/oSh7Tlcr8axG9Ivn+OefrFauu59cPi2+Tu+FsK+RaP29+2bTVLcPUN7jR/amEVD1NQVvX0/iKyEd73oJSphgQ691JaIdD9ZI4In0xlt08i1+LAHJClBPfBB4xRoJl18HfcDMAwx6IhS9LNCKPEsGKU5e/I+H373+ywWEpRMDtLEsBXgcixyx0zDDwnZoy3aGKqllsBw34ttOso4hOk5qEkLNgWnE6iTxubcYQzx2SVpizkdIxEETBCWqEehDXE/Fnk82V8je1npCPbGDEZj0CabArDGYMsqgtoydlyzpW9q6u2GIUpYZXlOuViTVZVIRsQAjlIB13f0m2v6dseAxhVLTC7SXQEJ6M5g3XFYJgkZRdSedj1hkP0XiGm/Od7FwIOxEiRWKhYedIhGvIuBiYlkEkugptlAki99Wdo0V5MzftvFqwhIiG2WPuK9BAy8H+IUM1RFiVcBuyg4KB5i8gKb5Tx+8ozHH73PG2+9yStvvMHh/Yc8f/qcxWLJL732CicP7/GNb389yhtseHjvHhcX56wO16xW68hKvMmyjfdwAxydj3GYfAHvvcxtNxVCnhcqHu9p7Bu591TAMh1r3m+JuTtf8yaAOPbd2KUhSrnInDVGxk/6fqp/kL6bAK+UhbTvl01s/gT+TMXm9gtE3sYK9FGCJz3dECUvq8WCs7PTkVCkdCJqSPDFGD3qu86Zm847UAofi237eL3pulO2VJZl8Vk4Tk6OAcYg+dwnDiGQ5xKgffTgAQFhDhdFTtu2KKVGzdmqqiTD0UxMQ90a3JA05h1GG6TQpwZjMTZjd73h/v2H7NnO6rN2o3+DW5B5ZJSKxSCl0ODQS2B1uVhwuduxXCw4ODjk6vqazWYTs+gs2+2W1WrFxcWFAPlxfhVFwWZ7zaE9jLIQnt1ug1KKi4tLyjIfmbzWyPur1QqtNdWioq53wMTWL8uSiwuRq0jyEik7JI0LgCybGMppzImcRU/TNCPrPS8Kttsth4eHbDYbFosFfSsZqtpatrud2Nla8w/+3X+XYrHgx3/6Xf6H//b/w3az4b333sU7hwcOV2u0UqwWSyk81/V0Q01RFmhj6IOnKktOjg75z/7T/5T/x3/+n/Nb//6/R3Cee3dP+PKXv8TTpxU/++AjhqC53tVUq3Vk+Uc5p7jP/7zs7tsYwTfXhDlT97PszkRQvfm99Pf89ZvHmWuT38yGuNnmMhHp59yPmd/blDmlx3H1ecDn1L6w5vD8p1xFXOiBvm1ES09bVPCErgXfgTa4tuP7f/h7HN1/lTt37mIUlNWCL7/5Fkfnh7zzkz/jv/iv/kv63Y7jxYLCKKxRotXrHc8+fJ+F1nhrePM7v8QHP/whlVEok0WQJrHgRADfGCseojZjaouOUXlJqdhPwdWREWyMQTOllahIvR8fiA5oY0ejaQiB3W7HMAy03YB3YRSST1Tutm2wVvSEtNJSQCCm3QYFzsfUl2h8CEtYBLWNVjRNR1UWqKgvWhQ5dV1HcBZJu4w6idoLfmOUImhNMODwiPA45HmG947OeXrn2HUNm3rHUVXy0x98j1/9t/42KuoyocCWFa9/6cv88Lt/yle+9i2q1VJOMIJRNx2cTwOI9z41DZ7P0V4Eieem5l91C+P/tTH0rh8jUence+kEfxXA9P8ULdyelJoMxGQMft52W4TM97UAw+2WoW9iQESN6eFd1+EiaCCLoGj9OtdP7/tAqNYEndNfnZPhMFU2FiOcnzNF5eWnFHBrm57zpiVfLvFdy7osRykKEzWDx3ueLZY3gSKJ5E3pqKmJ9teUIlIoYUYZa8aBmhz8ZOBKJHZJ8IHNdkPdDRwdZ1ycndG1LeWiZbUcKFcV29MntOWao3uPaBtJHducn7HdbHBxs/btZKwHryLwa/YqvIfZMzIxsJVlgb53ERwe8D4V4iFKVWSURcZiuSDLcpQ22ExYtzYr8ICKzAWUGEYKj+8H+q5jaGqa62tc12GKjKJcYItCHEltCMpgqzV2ccDQ1jSXz+h3l9SbK7p6S7vZCPN4t42peuKoWGMEtF5UlKs1Ni/EKVaRVRakkIJ3gxi3MQWu71r6oadYrvBeUqmV+UvEQ38B280o+Ge1NB7Td5IMSwiB7fU1ZVGMrKDFYkluLU0jWtopJa2MoHGWZVxdXY0sg8xmOOdER8x7irLAWj1KCSSmQtsISLjb7dhstqLHV1jKohirNB8sVxRFQe8di8WCLBMdRe89i6pgt9myWCx5+vSTaPgU1HVNXloG5yTdUk+VwnWW44Yeo03UQOWFtPA5q8ANAyFqF/ddhwry+UePHvH7f/QnHBy3LA9OCGjqpqVaVBwdHrFerzl9fso7P/0pB8sV64M1TVNTlCUfP3nC1VYqUg99x9vf+Abf++53WSwWPHr1FerNDqUUy7yg2+7Is4yTO8f0fU+xKHm0XLDbbfmTP/ojTp885atvvw2Dx3U95BlD10dmaBAJLKW/0PYoPn4E0Lznkyef8OM/+zO+9tW3MVbzw+99F2M0y6IUQB5Gu2oeZIQplXZydFXUlpb+rqqKoiy4vL6m7Tu0hrre8KM//RPoWnbba1577UsRqHKRpTgDsm6zQ3+BW9pPbttfbwMlbj0Gtz/OuGvhvcO1DS4WnfNuGMeD6PENONcT3ABBCsF6J4UitZEgpwtBCsxcXgpBYgbC3rw2YXMHgk5jIT6TyC7288/OQBk3SHHWEAKL3PLsR99jtbCYTO+BUTdZfnLuG0GPOHeHON6SQTzEQk06gsZGT7ok3geyvBDt5dnxE0A1v8dUsE5pRUATcHvWXloz+kFFAHjqJykqpcfsI601GD1m2ShrYmaOxlgLRuThVHxufdfSbK/ZXl/StVKpfXF0QrlcYYsKbTNMJoxgH7M1w9DjeqlG7wYHOhVijeD2DefxtqEm3+3x3Y6hvhoLhCmtseUClVeQQGFAJa1Z7+Oo0DS7HfVmw8Hhgxfs5NvG0i9y+yzG1W3B2lEzOH43sUok3ibjzBiNDg5lFBiRi+m6mrv3DvF0PP/oPQiBv/O3foPvfO0tvvvHfyJ6odZgnSPTGlNVqKri8OiAGLnfA333rk8xrgP717ov1XAbELIfqJkyJifyzk3QN4y+883jzvvyRaBksslvBjaTnroK8vt8r34RHEk29xRcStKR82c6doxczd7avA9u61lMQAI6q8MDzk/PJPBjDEkGSPwLOWxK2ScgMgHJ3hhZ0iFmVIh2sfeOQBFBZjPZZl6K5KYALLHPtZaAS26FVayUjCNrTdwqV2K/WxML9CmUmeoGdV3Sj492vFLUdU3XNpRFwerwkIOTE+qLc4y1oyZ6HM4vVZsTzX7euiPb3qfJm8QdSIk0YnCSJTMMwgDf9APOeS7Pz+nbDjd48qJgt7sgBAFgz8/PAaJMWjEeXwD8Ml7vxCJNBX1B5mHbtqMURJ7nbDdbstyO8kDpe8fHxzjnqOuWvu8YBj+SG1MRWZ1qtSgjBIO+4+rqiqIox5oaJpLGiqIQ2dQoQeGcY3COrt6xq2vu3r3P4Dw/+v73+bMf/YizswthI4fA0dEhz88vWSwWoB1FVbK7vuYoBj6ur3va7Q4XPKvDA2q35dvf+haXF2dcXVzS1bXUFQmBH/7wh/zyr/wqj15/k5/++bu88sprMbNQSFI+2R7x+d1WT2D/ee9L3Nx87retk/OfN4/zaX+n127TNU720VzhYN5u6r+ndtvxb15jmPXDfC3/PO0Le8oRlJeLRk2gk3e02wsxNp2wuPp6g9MZtlpw8ewp/+S//q85efBlPvzgI9bLBdoomrrm6vQZoe9ZVgVVkWNjWraAAjk+eDLlsWVGpTQf//CHlFoWVGMNXddzfb2jKCQak4ARpS3D4LBWwBN5CIk+HvkLVorfaaNi6pVQ1NOgcjH1JAnZByX6nc/PLtjtaoxWVEWOVuA8UbxboiTaiIC8iYWarJUqpS4W+BFwOpb3U3o0qEV7NeDjIjT0PUppMiMao8bI5tAPA1lhMUGPwHFa8AXwm9JzlJ82e6le2dBud+QWmu2OLoqanz59zL1Hr0n/DOJIn9y7y9PHH/Gnv/8v+Zt/7++hlbDD5hvFXzWbZ5rQ7P38Od/6y584+cchsWvii7NTjICwemmgYeDTHUz4dMH2m+2FzXWMIkt16jAMYuj4gEKLkzJIqqHo+1oB/qKB0zUC4LlhQGsLVnP08HU+/PhjjnJLPru26dyzeL6SuRVCoBs8285RLteYoWG5WpHN5nJy0tIibNSkl3rz/hPzZd+BTLqLAypA33Z0XYc1U9EckBkd1Hzj8eSZYbkqha2kWtp6R9+21HVDkV+zrS45PDlmsT5AB09bFtx95TU0Ik2hjWZ7fU27E+Zk2/c0bUtRVmRGUVWFGKXxPseHHY1G0Vo1GKsZBoUd0ka0v9ZmRYHNBRjWsYiNNkY0oa0Vhzs60yEyhvqhx7uerqtpu5qgZW8IpGwIWYu1zsnKNcE7uutndLtzus2Wfrdlc3lGfXWNGzqGWGRDazXqPZeLhdxrXmBiNkjwQeqseUdSoI5ieeB7ut01Xb1jdXhCCOJEG53tD6GXqN1mcKR202j5VEMIRgdDFjPZG/te0iMluidzpFhU1NsNKCiKgvV6RWYNT1F0bUO7azkdnjP0PQcHB9O+qUVneL0+pGk6um5gs7mgaRrRNe17+qHDWsvB4ZrVWoo05llOlpuYAWPJVWC1XDL0PdYWXF1dYaxlsVhwcnJC3/ecn19w//596rqhWhTkuR0ZfoFoo0RJjNQHIzvzhqMKM61xJPU9y8Vo7r1HG8t3vvNr/Pbv/DN8+Ig3vvot/u7ff4t/+c9+h+XxIU4rfv+P/5CT1SEhJIa+J18tud5uabuWzXbDbrfF5paqLLh/7x5VWdJ3Pd/5le9QVRWb6yvqumZwAZNlLDPLg1de5YP3fkaz2REGx8/+/F0ePXrE0dFhdNYFVJPaC59VeC4FP0f6EfgJ7FOIvuLv/JN/wvf/+E/4f12eslwsuHvvDl95602CCtjC0g4tWAk+Z0qK5vXDQD9MILB3nuViyXZToxHQ3UZ5rbIsuHPnhNB1GGB3fc3Z81PyEMiNwrkeTMDhIJgXZDJeFnAJ9gGxm/NyPqfH3xWkBXx+m8mx31sH0vve4YaW4IZREsD7GAR0Ptotglx4H3muegJXvJNU2a7fkhuLkBVmOsdqnwHovZejuY4Uqtxj6oQopWCljsDgnBRIRjMMLQTIqhKVwJNYPM15P4K+KfiQmo5BH2H8TszUidUrdrroeA5SNEoRr1uNe7ofBuE3zM6TisWFsA/iKzzegS0y+roVneAQREJCCclXLyvoe0TaIQZMtB5ZekaLfIQUbY3gjTYoI2xhbS3BWIIb6Nqa3eUlm+srFFAslyxP7lEs12R5RVkuYoDTQBgYfIPoIjuGvqOrdyLlohR5tYjFzJJchYrQ2Tj4RqAvDSXvA8F39LtLQiuFt+SpKXZtTbk8IF+uwaVUfSkwJM/HEjJN5zydC1HOKY3aCaQhBPqYxvyL3iY9yOk1GXafDgYkTDgQt9NxqoYZYzqCbXEvsjGAYfHQN4Qoz3FwfMiv/s2/wenpKWdnp0IgUlO2WLJtP4uJncb4pwEcnwV+jGDFjWNM69h+ynX6zE3w4+b17AOwJgInk0zc3jVFJlIggFYjWHz7fSCZZLekaadjTteYPvfiNY2f97NzW8ODV1/l7OkztA+EWKwW0proUMpAvAbimmP0pA26fx1K7NJukMwBq2OB6Ol5zgNr6e9EViMICWwkvxk11t8Yx6iMNAHQghQTbuoWfIiZYB3DIFrCV5sN2+2Ge/cfcnRyh6M7dwhdTbFYESLWkyTmXpY2gX4//7M3b2sOGKbAQ8KOkiTJ0PdsN1vOz895/vw5uIHlYil1FtqO7a6mLEvquma324m8R56PZKj1ej2SLjabDcfHRzjneOuttzg/Px8D7VVV0bYdVdQY3263eO9HDeGiKMbxNa/1YG3GwcGhkBcjsKzjeNxuRfYiAb9aK4qiINUh6nupE6FQlGUVi+npKE0o2FjTNCgU5+fn7HY115st292WoevEJmw7Pvn4yVgUMssER7tzckLTtSyXS+7eOeaXf/k7/Mrf/HVMVeHbFptb/sn/9x+zXFQ4N/D973+P9cEB3/r2t1mtVrz2pbf4xrd/GVsUeD8BwmH01YU5PNt+brW/5Lm/+NptpJH5e7d9/7N8r5ufnX8nBcQ/TdrihWDfjXN9ml+YxkQig83B6c/TvnBBuhQ6GSNg0Zbt2x1dvcFmGpShDwGKNUcn9zFK8f4776FMxUfvvcfu/ILh0kYNXEdlDFmRk2ei+ZlZg80MeZHPGLiySedZztBLhc+2maoupmhHosrf/k8meGJKonRk/CGMIibgLxmeCQBNi6JUKQ24oefySjRDX3n4AB31vrSyOBfTVpQeF5I8t6P4fFAapUNkN0Q2swqY8UF7WcitYfBegPZhoMgqwGHsFJ0VgGRitpoI5IQwE+o3BsvE7rGRSTg0PV3T4hY92+sNymjef/enHN+9j82qCI7Jc3/7q1/nD//Vv+D0+VPuPXhlb8HdB1Bflo3jU64zOg/vv/cOOQ6bF7MF58YC8BI5qPDpwPBfdLMXZyONM0mdc8PAEFn1qTgjkbUgBTr8WCDKeUfnPW0/SPpy0HxyWbN8zXBnUeE356hcv2C4yT9GI0gn9k1lWGiDHlrysozROHEIEzA8LwwBU1rabZG/ZAzMDd4hgt/Ke4zS5FHfLQSPd9F4GNO/ktMsAHFmDeuDFdWioml76qalrWvaXU3bNDENF5RaM1yccfxgSX5wgooVquVwmt12w3a3o724ZnFyl1WZYTIXpWQU2kwsA6JjE+J1CLshg1yNbAatNTaTqDIRFNZaR8avjimvyeic0usEVBAwwrloaHonhlMQ4zN3UlBPyUPA2BzXtfT1hma7od1u6eoNu801bdMQ/IDWkgaV5ZISp7RIFGkrjq4PAaMSRwQIXpg5SoBB7z1D29DUW4ICWywwWc6kG/5Zs+Hlaz/PKLn5apj9Sx8wkQ0aOxQ0HJ2c0G63bK6uyPOcPM8Z+oGiKBiGgaZpCfWWoe/ZXF1RlmXcfw0ExU/PLtjWO+pGdBFdTKdcrZYcHh/GSsslRVmSZTnaaIoon0QMaORFTrWoCE4M4b5tabWkvN29e5e+79ntag77A5Gs8ESwQkXwa7rbPUZiGr+zqHwynsbPaYO1WSygJoGSPM/4u3/n7/Df/Xf/lPv37vKNb36Ljz74GW9/7at845e+yeHREX/4L/6lFK/zgaeffMLx3bv85N13WK/XtO0FWivef/dnrFYLjo+O0Fpz9/59UIFnzz4RI9payqqiH4Q5azPLarFkWVXCLLbZyJi0UfMw2cI6bU3qxYc/xx6DD+A99WbL0PW0TYOxlk8++pDH7/+M3eU5uYLD5YKr0zP8l15H5zIfDw4O6YcebcW+8X3KEhkis0RSk6+vrghO0dQNQz9QlgVZZlksKjKr2Vxd0Wx3PP7gQ37pW7/E5vycs2dPBEhUSipbh/3997OCJL9oLY2+nxt05cbKFB9SSAb2+MZtX47BOuIzDR4V08MJkYSgonZesOCkmr0PU8Ea2VpixgxS30IZIRaQbGOf7P4AWiQTRK4s7suEMegyMoWjtISwYSNbKvoRIUCWSR0BHSWC8iyja9uRzZbaPNAqzz7pp8r7Pp63iynaWWZRMXPv5thJmT8+BoHmoNdUxCvatUru33UN1kRwOYQRTNYKQltjjQRwU6FWk1jCWqGNxUT5CLRGWUOWl8Ik1jK+h7ZhaHZsTp/TtTVFtWJxeEKxWGLLBVm1AlsIiWXoCHhc3+J7YYsPXUuz3eDbWgJr1YJifYTOy1ECIgGWMMlQ7c2jkOQCAkPf4rtGAF+ga3uG0NHvtiy6huXxA9AZXsmumsgoznt0teT4tbcpju4Rw2zj6FYRLTX6xcKpv4ht31lPDs/kJ94EEPbXpak/U6Zpalqrma85A6BCkEC3mkDN1cEhy9WK1994I51+X9oh/RxtY5F3SRl1EgyaPpPaXEtzfp/z+aC1FtBlflczYDYBo/PXb87bae6GF86RMAVtTFxPJGNvDsjNu/SmH3bzHlIGQXpt/n7SMk5a6AmgnR93fuwQwhhA01rsaq0Ul+dnqCjP5rzDGCsB5F6N+sOJxWmtBE5TWr9oIacsZvBD4A/+4A949dVXeePNL0uGsdHjejYHgxP4N+87HYO6Y3YCoFSUszFShyWk5xdiwLof6JqWpt6x3W6i7aBo2o5gLEf37zF4z9MnT6iyYtI9f+HZ/2K3Txsjn7d9OjA4BRVFfthzeHTE2fNnGJ3RNy19LwWeixC4vLxEKUWexwy3VK8h4jDWaI6Pjzg9fS4+U57z4YcfjqAwCOBbVQKUQmCxWFCWJU1Tj2SnJD3io6xPURSEwFgwMc/zyf+NWV0JPEznkO/L38kmFi1sN4LRu11N308+c1lW1HUzrl9dI2B10zRyn1rzzW99i48ff8Rut+Po6IguFk7v+563vvIWv/5v/yaPP3nKG19+E1tVBAL//m/9Fv/in/9zjLV859d+lT/4oz/iN//W3+LNr3+DoY/B6yCBWq01aIVzU6AaxiT3z+3tzdfi+Xp68zOfZxzdxCzS9+ZyD8DY//BpBcVftHdvYwDfzLiaF8NMbPMv0v5CObYhAafRig0EsqLk4P7roi0SAsu8iFUuDecfvcuTjx9zdHKHs09+xKqwZDYTRq22CDNJWEtaBbJctEGtnemLpYgiAgQZk5HnOqZ+WbJ82hzmVRfHaw4i95Ai/wLISrRWJ1BXiR6Q9wPGZIhD6WJ6iBi+RkHQsKpKmqqE8ThqLBBhrRVQQpsIQsum0XUSpdPKxAIrYngmpl9uzbjwD0rROY/JcozKubgSB251UAlDwQiDwnk/FvNSCMDsFGLQR4A4pRSlQeOZaObDMNB0HYVzhN7RbTZcPH/GycPXCFqhooFTLiu+8o1v8oPv/il/++SOGLfhiy22L0ULskj+5PvfY2UUb3/j22gPmBg6UJMj9rK3T4uk3fY52F8Ux0VTJZdD9O5U8BgVcBA1tcAFN6aymFTYLQjz1mkDWcGwvcYZw+tvfQXT1/jNBVWeSeBDKUk/jwASc8M8Gq8AamhZGC/pj2FiAabrTqkbshZMbOQEGg/DsHefyRG9mSIX4lpgrcUqQ9O19DGtZ2IpT+rczk2MK5tp8lyK65UL0XJq6w43DOy2W1kzguPknmXz/GOWdx5xTaAaHG4A5xRXVzvOzq5pmpY+KPKTQ1xh8DYVARKJmb1n6D0hXpOJ4FliNCg7AcJTwGfaZHQCiNMmpRQqOv4pjblrG7qmwQ8O1w8oGyU/nI+a9BC9AIauJbievmvp2pp6txVAwBoUwp7I8xxlZcPPikLWQTvpM4YgbJsxOJEAigREtB2gKFcrivURpliiTca/Se02I/3zRK+npsRbiQBSvaspqh5jM/quZ7les1iv2e22KBc4PDrEOcfB4SEhBDbX1/TdQH9xNcq2jLJNzmMjq6GLAaOiKFgsF9iog7darSjKPAJEk16fMSYaz2oqlghjIZXgPFVVjRWWExgZvCIEHQMsCmMzjHKfqsuV5v58rIdA1DmU/un7QdjvKgLNCrLM8h/8B/8eu6bj937nf+Ddd37C//j/+23+j//xf8y/8w/+Af/sn/0OH777MVowdj549z2ssZRFhbWGosg5OFzz+htv8PDhQy4uzql3OzocZZlHxsOkY4jWPPnwY+7cu8cbr7/O5uIyAohiuA/DgM0zsjyPKfD8/BitIIlsr69458/+DN/3bDcbri4uuTg9pb6+wiBz7+joiNdel+KFybEZhp4sFx0z3zuqoqBp2tEmUEHqGgTv2VzXo96wtZb1ek1ZlQSleOWVV/mjf/l7fPL4Yy7Wax48uM+j11/DFgU2L4T/MTJIb2d7vwzt5wHaLhZC9D5qPv4Fjp/Y3955gnNj4E7IDF18rcf7Ie5hCueHF46VWPeQMGo16hRD6vsJ5BhTJSMbcvrMvnNlrBSTTjU+rFZYJRIMEtCU71prbx2+SqWCT3LOUfZB6b3zJFs3FZacg9XAWIzWeWG9uugUp3aTdXgTJJC1Yup3AY5ijdYECM2KuRoT9zWbgTaYLEeZKJUVPLiBfrfh6vQ5rulYHB5RHRxRLA+w1QJbLcCWFKsjtO/pNpcMbU3fNgzNFtfU9F0jAKQ1FOWacrEiK5fYopKaAVrDbO27FSxJz9Nk6GJJt72GtiFbLITl3MHQ7thGnfrq4ARdLGeZXZ5uc8Xm/JLV4RE6y5FiwfPQh4wTe4sT/HK0RIpJWVf7I3UOeI7AaZjbQMzs5r1vEkJUZ46ZHGkdl4wOYbePQJ9iLP6nZxJC4xyIkgVzVhrsP+9kC8/BUOBWezetAy8CJp+tkbnXc7Pvp/MrpXAhrfFxld873rTuz797E4BO2q2JNRnCpAGaCnBN7N3bi6rdRkJJgZ6AY1GVtM0OA/SuY3CONmqvOiekBmFg6lFKKwHDo9arDhRFPjI4h04Kz2222xeCgOla5kVy5/eV7Bch2viRbKZj8EtHO98PDh9ERrLrB7qhpx0Gmlak/5zzXFxcom3OV775Nl/75W/zy7/6q1xfnmGizb6fw/HytD2g/zNsYvnclC16a1MKHzGhLAH2Xo/M4MViyfMnj0Wz2ysG53FO5nXSgS5LsVuXyyXOOXa7LScnRzx58piqqtBaj8UWDw8Pqet6ZBZ3XRez/PqxYN16fcB2t+Hg4ICuS3UehBQlYG4xanKnonV+ti4kNrAwibcRE5KARxprzsn3U9G6tO+GEDg6OuL4+Jif/OQdhm7g9PlzFssVT58+FUJJmXO52/LDH/6AalGxWq+xuUjQVYuSvCzYNQ3/6l/+C+7cvSd2ZZHzyUcfsFqv+F/+o3/E5fUVH3z4EX/37/07mKLAI0HgolrgeoeKwRQhY06yLcTQ5K0siS/Q/iIY180gVnot4Qm3SWiNWSA31tjbwOifd02poOWc9PJF7eUvBg5HUCRtbAokzQONVznV0QOBiqNukAdc17K7vuLpk8cMKiMzkEdHMrNmdGZ03ARMjKhZa3DeIUGMSTPGB9FaSUWLtIa+a3E+4LzH2myWCjRVOE6RGlQgi8apc6LnM0XfNGrM2JAHmOfZCDxIhUbRCDo6WKKBrhvGRdipVAAqIyARYOchKM1mJ9WFyyyP4PqkExSQ9BDvRF9TGxN7w7FcrynynPNnT8nybAK3rGZoHUPvKQqLCw4biOn8Al9qLXpJXk2DcYw4xk1ExerJyTHR3vP4g/c5fvAKEItnyNVy58ED7l0852fvvMNXv/Gtvej2X03bc0n+tbU8L/gHv/WP2Fye0XfdrHp7HP+E0Zh5WdpnLQvzRSgwu88kvfIZjm0qRBFCAD/EeWNxQbQ6vXMiiyLuEc51EYjtUSrgB89226JVzle/8+u8/+47NJdnlKXMKa1F0wtrCFkmLAY/pYaJsaxQJmOZS7psUHH+hCnCO4/SJSbVzXtPLc2VZPQppcbK5yo61RrRuB3whGopUVc3kKl9ADIIyYphkLmngwIlUhHGSHGnNu9FL7nruLq6xOSWZrtlGQJXzx6zOL7L9kJTLpb0dU1WWJbLUja+vmfoenZ1i80MFkMwBaqvo38im2Us5UOYgddKRTaEnp67jo5s2k8nsDuTfo7BEe89ONE3HLoO13b0dRO1tqRgTUjrTZgB+fEZuMHRtx1D19M1jQSzlKyDNskTJCpkEGaJMkb2m+S4K9FlhxCfj4uhSs/QdoSuJasqsrIkL6pRH3GcEC9TVZwv2D5P4CeEFGGPO0YI/Ozdd7l77x7rgyOWh0e4Dz/CZDmDawCpvr4+WDMMwkbwVcVuu2Nwjr7pRsfFGEPoe9CKshJG8XK9Yr1ej/t7WZYxCCzApuy3dgR++qZDR71jFa+37we6vh+ZNahU0CUWd4oyJkFJXQFr7WjUhhjQGNMyY5vWEtkPlZr6T+avHVlYaSXVGnzf8Lu/89vcvfeQ+nrD//BP/3t2uy2//Cu/wu//q3+FDnD/5A7XF1f88i99i7KqGIY+anpbtpsN3/3TP+bVV19lvV4CoFQgzwu6tqduGqpqITp1IfDs8WPOnp/iBofNLNVigcnsWGC3KIupX7gFf4ivJRMuhMDl2SlVnnG53eCaFu087WZL30gK4nK5ZL1e8+prr3FxeRbXTgksCXOlwWR6krRAnHtJaTNcX11x98F9tNa8885PCRD1q3PyshRQfxjIlCK4nvOz52yaii9/9evyLIMAgmHCHfcCfi9Dm19ldFWnpWcGlMAE8n5+qgsjWKR1ZDooPdpmiqQjO4yAEUF0xE1m6LqwR8BIgFbw0sduZB/68U5S1k9wHufFWRaCRNi77gRmyH4xaZX6oEFbPI6gQYWARlhuSispFh3C6NQSgmSQxICtkCrA6AxvLbjJEbrpVIXg6dqBLM9j8Ur2WFYJ9FBj3zPKid10KWXcTWwkpdQo4yRybRalrcgpGIM2Nha3FHawttkY4AQpFIjv6eua7dkZQ9OxWK+p1gdk1RJTLMiqBSorsPkCrQ3t9oq+a3BNQ7fbMTQ7us0l2hpsnpPFgq3aliibEZSK+vwxm+JTiA2jM6s1yuSUywOG7SVNd43uOwG/jEVbj3cDzeUpANWhQemMEBwMA93mitDVLBePsGoWMAgBVBjH/8vUpr10Flhkf2yktrcmjQCjSKwEpWZrl0YFL+x1hdjailjkLOztP/HJRKA5nj0wynulD40+yuxa5rZvupebgPBctm0PEL4ZiLsVYNhfh28DMeZgM4BJwEiIGa9KMXRuul91o59DiNq8+0G2ad2Sa23bdjznTXteKRUlj+wIns6/O7/X/e9PDF2jDTiRgOj7XjL9QmDoeoZB/u2xerUm01rqKVjR/Q060EQ/3tqMqqz49ne+Q9u27HY1VqeCuEQ5t33GYbqfEES/XZt9ez7PizFA5UNGP3QjCQ5tycuMXdOx7Tq6wdH1jrZpub7a8PTsFJ1ZvvmdX6JtdjS7mkevvh79Qs/LJaIo7YvbCFMwIrX5mJcgZsw6SRJIyF612W5lHdY5Q+c4vzyDoCjLgu12t2d3Nk1DnuecnJyQpFnquubu3bsYY7i+vh5ZxpeXl3RdR1mWEd+SgtBVVVHXNa+++ipHR0f86Ec/iniXBOqKoiSEMAKFIQiLORUpTGByCmaUZTkGUuaA5WKxZLuRIpDL5ZKLi8vxeEopPvzwI0IIXFxcoJXm8uJ8DADudjuWyyVHR0cslgv6oQelKBY5JrMUZcHyYMnp2XO+94Mfcr7Z8uorr/B//8/+b3zrm9/gV77zy/zGt77Br/wNxx/88R9zvdsRlMZmxVRTJLKf50GqtD4rvthuczNQltpUJHKfMPZZ4+vmmpJa6l/Yt/tuYwPfPN5tgbwxQBQD4Ynslq4z1T676ff8vPaFPq1RM/2ktHDLXyqAiupjYjhp0c5srtluLtnsGrR2lMYIM1jrUcd3Or6VCLxRkUWmABcXcdENgxCBpSjY7YaEGot2TlAMTuQliqKIjuhcd1TMQansOtu0AjjvyPIcgp8i20qJI6w03TBglKYoCowZGBYO57ZicIYIykZavs00uc1o/AC25NEbr/Nn3/8+ZRaZjhHI1UZFnUDZ4BN70dqM3Gp2FxfskKqt3dBTkaOVjmlZPcPgafqB1cGSsKtFd2jcnOS6TEwLSccW0E1hbTQKnIPBEWLF8Hp7jRtarK4muFZLdPetr3yV7/7hH3P96JzV4cmsUFh6iskwl/Ok8704Rf8qNpovOvU/xxHjddusoFgsowMxMwxVMrGn2NTL0W6/zskITYZSvCeVvpOAhhefl3x+ZnjGBTqlsSnAu0HA0aCw1ZKh60anb/CedoBXvv5tDo/v8IM//gNMu+F4mUWANowAVvBBCgBoHdeGyTjUWoyopG84phHNgkM3DWIxQv2kJR4d0Nv6JjVFckAdfe/waHLtaa4vyWZ9cZNZAeK4j4ZvEI3HzFqsqchsLoW8gkjN1Jst2yLHWENmNJvTT7hz54TLZ09Q9FgVaAbHG9/8FqvDYz5+58eEqy3LVQl+0h5PunWmqiQI1nfjWpiYFEpHPUKdqjlLobdJVkLYTylDIvWHG2TdTQ710AlInQr9aCS1bRiGMVg49qOaKjQrxZj54IcBZTSZEkM6NWMFAAsRvE4tpVilcRtHBcENtM2WwQUOj++RVSuyYnlj9E572b8p7abhcJtxMjcwxOgHggQIlTI02x3XxQXL1QFFueDeo4fsri/pmxrnHSd37nBxds7B4SHGWupdjS2Kka3jY0G4zGZSDMoYtDWURcFirJ5MLDLnKQoBTLIsi2OTiQ0c9ys3CLhV1w1N3YxzfFfXKKUoq4pqUWEziw8OMKlGz6ifNrEM9x3ZuZE7yRfMB8a0h3Vdj7XE+gWSMm6t4Sd/9iO+9vabfPDOT3jj9Vf4h//e/4L14QEMjg/e/RlvvPY6B4cHHJ0cs1wuOD87G4Hbhw/vk2VZBMUdbdeACgL2hkDftqgAmdI0Tgr6eefoEZ01k2VkRS4ap/FfNJOYxKbmgyTumt7T1rsoa7Oja2r6vmN3vWG32TG4gM0L7ty5S1VVbDcbNpuNsH5jBewusp6M0ePanwJC9W5H34tR+vTJEymsE3XNBUiTKutnz5+LFnFmMZkhKzOq5YJquQY1K3w1e2bzPesXvd0EGEGeS7Ib5veVbAtm8zXwoqPy4n2L1l5QUkB0iBJOEjnzhEHGUx+81GhW4kj0fceYXTYSC6a9MgGz4zlnN6ICks4ZyRJpT03P5mYRFWul1oAfPJumZXn/Pt3zZ2RagzVYpWK5N8kW8VHqwnsfdarVGIgmBa99QBlLZqBv23gvci2TpFQ+PgVPQCP2dtrrQ7Tbxz4P8nR0ZCknQBuISRby5JLOsdY62uMWhcGaTMBYLdrrWmdom0XN/RiI9UHAej/guobt5QXNdofJMmyeY6Kuvo7a+hpFcA7XbPF9jetqhq7BdQ19vYtAf4EtF+TVCptXKJMRtEYbG3WOo1wG+2ve3nhS0v/G5ujgWBw/wAdFt70CJz7Q4B1S/LfFE510Y8AYhnrH9uJM1v9qic0rUHbcn3kJ5utntwkw3P/7lhYjNinYM34jAX0hEJTG4UdpDhOn2BhkS8BkjH0LkCos4kRYkY/KWPXM/Nm0lswvadb/870vvTcHPdJrI6GIfTti0sjUMZX7xWD0HACZn8dLag/jnIzXIko4qSi7jJsUzGJ2/n37+kVQ+9MY/5lNmcP+BXDn5jHH98S5l2fonMhDqJih4T1lUfL02bO43/W0bTf6H1mWkWcZi7ISwDaz2FyuIc8LrDXssmbMmuoHh4k+CwnwTezqqFErfWOEXNF38r5cLVlmqZYVClkri7KkLIrxPoa+p25blgcHrA8OuTi9wA2Bth24urwmOM/hwSHNbseHP/tzFtWKLK/EZlBzcZiXr30ekPg2e+KFcRYLnw3DMPZ71/eEaNMuy2Muzy/Y1TvyPMOajLZtYqCIKBuxwBhD10kBuKOjQ7qm5m/8+t/gj/7ojyiKQiTTuo7T5885ODwUya+ILWUxw/zs9JRHrzzi6dOnPHv6bAyidq3YxbvtlrwQYkbSnbVWSIB1XUvxwhEMZ+YXKnZNw2qxlKzBmJmT2MtS/Fvm0Onp2Ti+ylLqgnRdT1VWOOdo6pqqqnh+esq6a3nw4D6D96zWKxSK3XbHs8dPyPOcMi/4b/7L/4of/+THJA39N954nQdti8kL/t7/7O+z3e1iPRyPH7yQSIMUYpzbSsnuSgGnz/PcbwtypbVkws6mgNrNsfFZ7SY4nL4/Z/TO5U/m37m5T89/TgH4/dcTOHwbQ/nztr+QrMTc4E3OpZi7Co8mqLg5+Z7d5Smnz56itWFzccEiyyiybCwMRzJUtAAKUjxOoyN7TSk9spTmehzeQ9+LkLpXnm3fcfzgIc8/+YgyGpPyAHyMFEadpxlCP0/PwDkBICJTMD08rTU+sxIJyTLC4PZo9dZmY5p8ZmWzVEpRZLkwaKoSvTjAByWaoEaixgnRT5ujSEXMU1zlerPM4txACIqu7QlBQF9rRJs5pRAyDMICRJyEoAJdL9pzznkG50djNg2ixL5TWgrdBRUYgsN6R7vZkp1UI4CiApHVUfDGm1/iX/3uP+Pv/f1/SFYu9sbGbRNtGjW3/f6XbX+129WE6Xl2mw2LqiLEVHdQEG5OsJdku7xl7doHhdXo+EyGFhj96fcnBsNouU3GrNbYmLbprcW7XnopOhZaS6E65SDsdjz/2Z9z+fH7nL/3E778xiuzyFqQVG4gUwGDJyg9OoHjYqc0BkY2QkobfSHCF4hawwJg6ahtNukM7gNnaUFNxnE6hgqK3gXWD+7SXz5jmVmGXorwTaDn1G+p+m1youUEfpSvKYo8gnOK3W5H1zTsNluKvBiLdO0unuGGlvWdE9YPX+O1b3ne+eEPeedP/oDgWo4e3I36ThY19PgYb9JaQz+ACWRmSnNNa6BWSjTFjEFrE4HhWHROZ2NF9bSujfcVxHlJG5QbAwN+XL9Er1jFoh1TfyRwKDkcOqZRW2uj9nQYq/l6ps00yV7IGI1FhnR8X2nC4AjOMbQNrm8p14fkh3exi0NUVkb29L/ZzXtP0zSRnZntsYJSS3NbJEgmR02Cnpp6s5F9wSiO79zlPfVn4hhExsxyvRpTwa0VkMVFFo3Mp6jlH6CoysiYHSijDl8gYKyhyivRx8xz7t6/jxsGrq4uRA8tL+jalqZuRpbiMAwMg+jkX15eUNfCvlgulwQCzg8ElaF0CtvJOjE3uubR+bH4XHJ+onZrSl9P66Ls9yb+EyZmCI7las1/+B/+r3j2yVPee/997tw95v7xMVZp/oPf+i0C8OTDj3n64Ue4ocP7AYLj6Ggt41YbrM1j4Cj1m8YNUksgsxl9WwPQDz1NXXN9dUkIgeViwXK5GIPgKciV5tpn7koxgn95fo7re7qmpm07+m6I2sAS/FquliyXy3ENfPXVVyOo2JOVxQj4uq6P4Jr0qTUGlSuGfiA3VhgkbcdiKTp5RVlKoCcy+Y/vnjC4Flvl2CKnrCrKssQnsHAGPHxRA/cXqY3BmAjez+MQqY+TTNjN78G+bbUffAyyBxYV+AGvO7yLWTfK4nCRuav2+tEaSz9MhcG0MQx9j56lMKOUsPbifpgkyoagCUVFuL4cmbTpGtO/pLOZAkdaa/E4Qke+OqI+33C9azhcrGialvPLmuPVgoN1ORY544YjlkCpoAJGBWHOSmpKXNPkc2M2QdxrnHMofARi9gMLKWtu3sfzvX+yj6Z7TOBN6ktxrGf2uzEYk2GyTArIaTPrQzmXd46ubWh2WwY/kNkSm2Xip4ygTzxf8JKJ4QZ8PzB0DX1X410vwHBexIKtVZSssKAVgVQYaxpPt4JgsxaURmcV2UKxNhlduWBz/pSha8lyqfkSgid4x+byDBMCNsvZPf6I3eaaO196G50vUHkZgc/wov35MgLF80yjZAZ9xn0opePqpWM8YwIvlTbkRQVKbFIVPL5vx88x0yQG9jIV93ysmSOuSPuWBONVDEa4wb0A7qbg+zRlpmw5mBfiU3syD+kepr0zjHrB6fPjMUIYgy4h7Utp/dGi3yuvJzt9xuaNcowohddB6nnAaB9Ofby/ps3nq82yUdru5ny/CYTP/YQX7NwQ2d9RNmK5Wkph3cFzdnbGdrMRCaXZtUl2pBPZrX5a03sn660UAstHmaZkrxmjMNFGR+2zrtM1pzoKIYRRTzbdkzECkmVRvqkoc/JMiCbD0NN1PZfnlyhjePjKK3z8wUf0Q8/gPffu3+PLb7/Jr/3Gb/Dhz97l+O4dMHokAb6k2y6wP/a/yHfmTam0bKlRE79taoZhoOs68rxge3UBiI3ovSMYQz90YzCy61pCCDRNMxajszZDFYF3fvwOd45OODhYs9vt0EqxrBZk2qDyjOvLCw4PD3EhcHBwgFWKrpH6G+v1Go2hb2qqWNzu6PiY3g30fRdJEkJm2O12iHxFG23HDLDkeclmc8ZiseCV19/g2Ucfk9mcpmlo2zbuo548L6mbmrJaUFZLttstm+0lNrd851e/Q7lY8ju//dviK6yW1PWOsiwFS/EB1/VYFQmbhaLICuptLdKRIZATuK534D0ffPgh3/j2t8izDBU8y2pJs9uR5yU6y0j5TN4JzjfO1+izesS/+SyL+NMwq5vBs5uBqReCq7cc89OCWLdJ8dwcozcDVzcDeukz6bXkI8+lhJLvnDIm/9rA4RHlTjehFCpWxk6Xq0WVBZxnc3HG5uw5Tx8/plpUXJ+ekhcL8kwWPqWkKFKKgkoEXmO1jqCUoukjIJpAmrHDkEi2k0JMi7zg/PFTlBcAKQE+OrJ7bJZ0zNSo4ZM6TW5pXohGjwCw1hozJHR/KgQnjuoUiSGIxnBi8Ph+ICsKejewOX3KxZOPWeV51Drdf+iSXj49tPSaXIPoKIrI/IAbPMbGDUTBEDyawNA0lGVOcMIy9kGjh8R4UGgvaU0mRf+ZgJmsyAnIRlM3Neus5Pz5M1bHd6YdIYF/aI7v3KHILe+/9y5vf+NbcfKNw/WLDKkb7X/K3SdN3njmG6fu2oZ6u+Xw8Dimg0VAcv4hxb8RmenzeaWikSkshAAqLb8ROGEy6CBtmJE15MUg9gFcEKF4YiE113cMfYtUSZcxqYwiMx5fX8CQc3x0QFnkMwDHx+cizi9KJGBugvMhiNyDAJrxu5Ghg9YoFYs3BidV03VF1tfCzomb/BDlJrxzohWq5PspShrvJgIwA7kJ1M8+FpF/bWjcQCgP2Zw+4XBhCVkhfYsCI8VxpIjNBKYTlDh3FmEOhgIfPNvtht12g7Uak1mWRphVy8WCAPQYNk8+hHrDcWkxNudwvaTIM7RRRK2FyGqKxXHMxPxNTA2UiuwiYTgpKyCrjtWjlRUWsVIqOpry3Bg3tkmaAkZBkrg2dgQv0fVk7CoCeBdZUTl5XtAbTackHc4PYsgLmC6Bs6woZDN1DmsBLzqRAZl7yUhLm63rW+rrC1zfs77zgGJxQFauUZgIFk7p1i+1tfspLTEEIGrff5rzGoQh55UEBdECtJdFTl3vcEOLMpq8KDi+d5/d+SWZFkZu07UE5bFlxmFeiPOpp3EiQEzg6OREnKgI9CfWqJ05QwdHhxydnPD8k6dcX13inbCE23Mp9hqCaNem+6p3LbvNlrru6bqBk5Njlsu17HE2MqAxcaxLYGoe6J10vYigcBo/k3SViw6lOGAqah9LMTVrzaQfSAATePDKPR69/pC6rjHW8v6PfygBKivA6HKZQ8ikeE1cn2yWTex7ZJ1x0aDrgxTg7YcBZUBp2acVE+szpblpJfUMyrIiZS5IIOvTx0gIgb7t2FxIMTjvhP1Z1zvavmXoO6yBg/WSqiioynIECYuiEOZwEAZ1qrOglEh5gBS8HOjwIdAPPdvNFcd37nK93cT1WMcgW6CutxydvMLFhbBsjMlYHRyOwAAxeJ6CUfP20oLEM1z3JqBhYsA+sb9/bov9qNDYrMI1uwgK98IjVIi0gM0ls2boGbp2LFhnY2FDYNQn9s6N1yQTBcnc8fFnAK8Ur7zxZT768Q9RwUWdxQlgSWtPSoWWQqiaoRcJkU8++Ig3v/o1PvrBH8g8tIaHrz3C1duxIFMCdoP3MTUWubeEsGvGIs790JOCCAkkFsm0pDcs8jL9MAiQrhSmrGTee5GoC1HCRKq8pwBqWihe1HUNRMKJiWNVmRhMjcDwTCNfND/FHtLRf2ibHfVuCwRMJmzjoFOVD4VzHu0DygqYGFwf7TMZ9y4GzJTSGJfAtRR7mIJeJBuKm3Nm9lqYyU0o8RV0XpGbHJOXZOtDuusL2u11DMJLRkcfapbrYzYfv0+zq/E2Y3V8B1su0LbgtuyFub/4MrQ9nzP+vRfon7URONCaVLhdCp9n2Nyw227FzwyBfreVeS/I7uh7AhMLLgWUbrCPSf7w+FoCDP2438meZ0C5cZ0WHzeNjwno8G4fjEigg/d+zNZKoMZNgCKtCYlhmMgQ8r00xmbyFrNjTzNJ2lyWIb2aLSqCc4R+IAQwwBADTi8SMSbQpanrmEo9B7c9zk1SE/Pv3gR05PgxSCPINArPnbsn1NuaofcjhpD25KIoR8A3FfASULnHe0/fG5HG6rqo4yrZN3Vdx1oLwuZM6f1ZZhkGNz73YejxXvCBvhfZLecG+l5sPik+JYS1e/fucP/eXQ4ODqJcXMANPV3b4YHN9ZbFasXF5eVI7Hn9S1+iXK0wOufw6PiFPfdlazcDqp9mM9z2+ovgn0Ip2dNimSg0cO/ePYqi4PL5qQCtPpDnGdViyWazGeeNZIjlY6G509NTvvKVr0h9j8VC6AwKnp0+p6oW7LZbqqpkU+8oy5yvfuPrPH78mKurS8rFgqAVjoAj0PYdXd+LLOnQ0w09T589ZbVej3hS14nsW1EUI4bV91Kz4s233mK72VFVFW3b4p4+xXvPdrvFGMNqtWK73UKUhkyEiZEskGVst1uqquLX//bf5nd++7c5ODgYs4RfffVVtltZ74qioKkb1gdrrLVcX19zeHiINYbVas3/7v/wv+c/+T/9Jyil+MM//EP+7b/1tymXa7Q2dF1PUVZ4zxiQuhnQSs9sbgt81pi4+fqn/f1F2hxMvnmsTwvOztfXTxun888kIPjmceY25Zy0BfvF735e+0LgcIgRvpvFBEbFSglPokLH7vw527MndJsNu21L1/QsihxbGISgpseNwKBITAprdFzQA93QMziRciBI6hwxtUt0P8FkkbmrPMvK4gZQMX1RqVSEzhKRnXGizCOcokNq0XqK+qUH6JynH5ykcg4Dy0WF0aLRElQskJfSZ7WkjDjnxwIbCkWV5Wwd6LzEBS+GaWRXvvH1r/Dej3/CqixHA3p+XWkjVYoxlUWpDM+Athbf9fRdR1UsCd6T5QbnAi4Ca1oJUJcAPFC4wUeR+iAsHwLKQGZyVqsjjNZcPz+lf7Mjz4rRWZHoYUBpy9tvfY3v/eD7vPXVr6HslI4/jemXz3FLU3boOz5+/z3WqwOUsqjgZ7cTxrHk+cstIP+TNjVJYey/fNNAcri+QVuL1ja+5iNzWjOCa+MCNHNAIlOUMMhYxhBcZO8bg3aGzFq6rsVYDcqyWC1kvJqMu0eHhH7SBx0BmOgsjb/tGYOMRvIE3s4X0KgbGlMfr7Y1dx58metP3qOYOXlJj0dpSVPRSvSlSAZ4uhYljD9lwcaUyaGXwj/t7possyTQdHSuYxpdiMbFNGbiGjP0ZLklyzMG71CNpW5abN6wimtgbqUY126749knT7l89gzjB3SeU1YFZVlJ4Gm6zAjm6nGtTfIMokcWo6vGjFISSkkaakrtVWpWxEbNqrqHJBsiusBGx2NEYAMlAOHghsiyTCCD9IW2GdrmmJhaXi0WBB9oXC1O+jCIbrv3AhS2LaWxMaVKKu5irIBRe76uo2trdpsNymYUqyPy5SEmL6NhP5uvLxmw9HnXGa2T7NHEDp8fY2LuKPAJ0I//Bc+iWrC5uqJvO2xWoJXmK1/5GqXW/OynP2Vwoi1b5EVk39vROdLWCuPTOTSBtqnRCqqqQOmYSpllGGu4/+AhB8dHnD57zgfv/Yyh79ltd1Eb1dN1LUPX4pzoqw1RrmS32Y4OdtIyK4qcsizJ8+m+JZiapF7mjCkJzs7XLwGc3OisCssisRXjSJ8FIdJa4X0AqymXS7bbDYtlCcmWQUXJJTcyMXWUcdJaAr1aE2sqqLgUqJie3o+SDN5LQUuATQIWoi5rXhSsDw5YrtbCxg2IZuV8r7oBYijEqL44PSU4T9+JnmjXdXRdR70TgDjLLFUle79IU8nzy2PwTgI2s0J/Wgr9DM7RR9kvYy1NXVPXNWWz487duxijR6azQZGhefz+B+SZpSzkGR4dHctzUYpUMHFUK50Z9i9H23cwRyeV/SVo736m4TCCfZ9+eDWu99pkmHyB63uU7kEPAvJlYv8OXSvrvLUo51FKuNlOOSAkWX1cDMrMGS6yF/jxoovgOP3zH1NqBFTVU9XzebZCsqUT0cHmlnJZYEzG9vQT1ouSAo8tcrxryAs72irGSJW3BFYLA3nK3FPGjB00B6O1TpJ1UzdNO65oemogtO3Ipg6oEbVPdrj3HqNlHkvQUpysLM/HAq4okcAzWYY2GdpabF4KGBPZv67vRU85yF4/OMl+2F5f0bUtikCW5VEeRgKfUtAzFulLGtImY9sOsq4ldrDSBO8ITiQqMAZZZhxKWcLQgTHxGMRgWAS9R7pMlNQhMYzjXFMKZTMBHPIcUy7JD3YM9Zbt6XO6rkUtVpy+/+fk1rB6+AbLYoXJC6zNuY2vFeKYfUmsZmAfLN3tahaLBcS++ixHf/wZPM4NDI1IIpWrFX3b4GMxcun/CAjPs9XmdvmN46c5Ask6nu/vigSIupj+LrJcItcgbFpPkrcRgGUqWpSCjjc6AeLrIYQ9bXvYB3VH+9O5uG4wgRkJkE7rIRLw9MFHH3fq89SGpo3zaBj7Jtn4qT7Bbc9A0ub3ged07PnzuQkyvwAeReKW0ULi2G1q7t29y2J1QN01kjHgPXlmWa5WrNcHIyjtw7y4ZUArYW6mTCvnBrTSFEVOCIG268hj4Ne5gbaVLCofZSWStIQAfAEfpHaSFCeUIt+eGqU0T54+pe97ri6vqaoFeZGBl3ofddviFTx/+hSU5o2332Kz2VI3PR9/8DFFWaGzErR5+aI5sf1V++bzcaO12CVFWfKlL32JP/6DPwAFfd/RNg1Jx1cK1S1GMmHSFHbOcf/+fR4/fszdu3dH+8YYQ7Zc0rYt9+7f4+LigmEYWK0WfPDBBywWC5RStF2LzSxtnTLLhlEzuB8c64MDdrud6FjHAqkhBMoyp+s6hqGX2hZdx2q9RGU577//oxjAECYywGKxIITAZrOJY1jT9T2r1Yrrq+sR7N5ut1xdXfG7v/u7/MmffpfFYjGyjYui4Pnz5xwdHTEMAyd37lBW5ci2v3fvnhR37Hu+/Su/THl0yD/6j/4jHr36iHsPHlCUpYDZbsBYyQIKmIi1pSz+JDu739QU2Xlh3u9/7ovbk7cd62aw6eb6ctt553jf/PPz493MAE3fu8kGnoPH88+9kBHxOdoXLEg3SRGMpsWNIhQBR3t9yebiGaHbcHFxDtrSbC8pczE0MiMXKQPWIzILU0pq0kEb+oGgwCtx8uayEibPaBvRGbOZpumdsNLyjDzLx45KDl2e52PHWit6h8YacIGA3ityNY+a+uAmgDlep4nMRymMB8pK4TqtDcMwkOfywFKECWPIy4qsqui219hMU2QZeWb58N33KPJMjFA1VVWeayWm+3bAdrujLI4iw89htYDRKYLifYoeesyg8CYyOSPtvu+HqN0GhZWU9jyzWC2GdrPdUa0WXFyccnl2ysm9h5G1tL95Ht25y3q95tmTJzx49TUxJGU4fqEhxef+znxS/XU6hpJCZDPDwdGhAOyJ1T1ZaH+N5//rai9ulPuOtoBDrq9pd1cUyzWZiZpECrpaBOlNsRTgJWFs8VhKKfLVAYMOeD/gu34EjUKIhemGQeoLEZm5WpHnVlJVI2BitIoBEQhhWtAD+4vxfNGcp8ApJdpgc2Naz5jDy0WOb2vKopzkJGCca0oreuewWhxoHc8R8BHbFB3Gm4v2YlGS9QNeW5TSY+QfQHuHj+XMVawOfzNK6FyPVMNUeC/M/2RQeOfoXctuu5NN+PKc680lVisyW0TDT0AbFaZYf0orScU4VXK2lYp6iEaqkEcwTX4XfcJo4xNSqmGQwkPBh6jBhrBEBy+p0FaAf+I6NBrxcVMfnMMS8G7A5Dk6y8nKCltWoAJZIQ700DQxDUo0mY02qAhEOefJYpBMnovBGhWNhYDre3aba4a+4+DkPvnqkGx5NBYoTNp/Lw+w9GL7eeBY0pSeA8MpQLKXKjoD3OS4Ml6W6xXtBx3np+ecnV9x585dFouKB6+/zuX1NZfPnss6EEFKcTg1xlYCJHqPtooweAE7lKIoS2HGKc2de/d4+PAhWVHw0x//mIuzM7pdQ9c01LsarSTd3fUD2+2Wuq5HdoJSirZpJdslsxzdOaZcLigWIl2RZDFGZlVMrZ/3gzj186rA01zc11uc+iqxgm42Y2SdarYbssyOBYKCC+Ne7mIaeVoLvPfROU8AwBSI9i5Qdw3DIGNd9nUBdPquY7PZoIzm6OSEu/fvcXh8xMHhAc4HFsu1pPeON8Dt22QIbK8uuTw/o6lr2qZl6AeGTmQrurbDec+du3c4PDrCZnYcb9qYqX5DHGOpsNcwDLFiuzDDgw8sl5JyiIKL8wu+8Uvf4aOPPmRb7ySI5gND17HdbLhz/w4EyPJiBL28DygtWSHxIj51Xvzithv6mLzoQNz8PchDB26f5y84JaMTAiqrUHmHwqFJ8gVSsV4CeCC67AKqqBAw1soanhm81hLMnLOHY0sgk5zTC+NWafwseDLfm9P+P79WYzTVsqRwoIaaxVoCG+pGGvV8X09tPg/nQPD8OufzLM1BlJAxwrg/GawCHef+4CX4P0/FnI61X008ZeMkx0ybuG/Gf9oKwOuDQockuTQIKLxr6NpGqr8PjqatCUqzXK9ZLA8olitM1Agdz6cmiSZtF3RewPhFWeH7Bb5rGPoGVW8JfsAOHWW1wGQF2AKMRYq9ig3vtRL92ggUpwBYYiunvh+ZnkoyAlTII2FACn/qvOD8/JTd+Rnd1XM4uU/9yYc8+vJX8W5AZeX4nG6O4Zvj6mVqRZEzUf9fnJ/jWu6TJq/0b9qTjDG0u120S8XI8rfs6Tfl/ybQIJ6HcOOp7a8j4k/P9rQwAc8C4E7grFJagkjzuTT76b0fCRKyf4mm+Zy5tvc8U3ALJeAo07HV/D7TOqdA2yhT4d3eOq+AEIlMKbApe40b9+3bpNzk99tTt28CMPP3bjLyTMxiUNG/tUaxXlQ8f37BYr3mN/7O3+b3f/d3+ei998fnW5aljBN8rIOQfBPwg2exqMa/A45h8Ax9ZAdrQ9/1kdHZx8xkGU9JZ9hoI4SRPGe5WtI2jQBtXrI8h+BRxnL/4X3KPOejDz9i5wa8N3zy0WN2mw2b7ZbeD2TGUi1X/M9/69/ntTff5EtvvinBZ20I6JipMIXWuDXk84vZbh8Tn6/dXJ8muzuRCXwskhgYnOBLeZ7TuSmA0fc91lrqusZ7P7JyQxBZicPDQ+7cuYP3AvyvViuGIWWxBM7Pz0eyx+XlJcIcH1gsFiITYKxo/0Ziw/X1dSxwB23bjHgQMfhUVQvquhHmbtNiTKAsK7wL/Okf/OEeiFzXNX0ngHPClpQSBvxqtWSz3cbztCNWNjGMd3RdN/og6/Wavu/puo6DwwN29ZaizPHec3x8jLWWpm3xBP78vXe53Fzz9W9+k/c/+BnlciF1BWIthSyX+ZAZi59lQyQ7aw6KTszhz37+LxLk/nJ7021j5yarN7W5nzZn/N68ttTHc9xg/tmb43yO1d0WAPs87YsVpIsDxIWk4wETHzGllg/sri7AtXSbLc9Pz4X8MbRk+QIbHXpjY+oyYmw0TTNbMKUS5+BEq0erSVZi0p70aAPD4HBDLDShLUWe4/zk9CVjb94xArhqXEw5lTTHGw70zDg1Wtg/QQtA0jS9pIE6h1YWnSX0XjZv76diSxAEiFWKfrehyjNskaG8FOk4rgoU0HdSaTXR8OcRhb7vR6er73sGH7BmShmHQN8PlEVO0o5SKmCsoh+ScZKYIE7eU4qiLKgWFZmxFFkeC9cpBt9jtOLjD37GwdEdMpXFdNAZTd5a3nr7K/zg+9/j7oOHGJtFx2eE5b7I0NprNx3cL7CkT6Dl55kEMwd6DI6GwObqgoPDNcoaYauHEA3CyRRL7WUCmhLI+oJRRCCEnt31KaFvpC/6gd43o1HretG3KzMLphgBp9RE30e0AG25oOuvQJuxGKIiyq6IdYhXoJQATNqIZrAYj6mPVTRwE5A1Rf/mUThPkFTMKCEx9D3CiVAjkJHum7ip0FxS5JLyzexYI1sIFR+3GLdBIRro0bH0DKORG4IbARJrDI5EstD4qPUnrHsHTo51U3geJKVcGWEsGxVg6PHO0jUNzfU1bpAUtKvLS/qmRSmDzXLWRwccHKzIM4OwQcLIGE4OrKyhcZ1TZmQTKyXPRzSHxfFTepK9AQ/B4QeirER84EnQWF5mCH7UlRyGgb7r0NUSvIpazI6+aygXS4LrQS8w1ZKi73F9R+0dZemxSrELIjsS/AQqGK3xfUvIMoYQyJWBWGd+cPEyvaepd/iupSwXrO8/pDy6g7EFk/bLvvbi3gB+SdrnWW/mhoPMlRcZxKNhocYXkf50BBTvvvsub37laxRViVKacrXijbff5rHN2J5f4DtJR0MrTCbg0mIpBSxAoUsthiWylx7fucODhw+x1nJxccEPfu/3qYqC7dU1vh9QAdq6Zogpl1I8ZUdd13uGtrWW1XLNarXk8PCQg4MVWmvKqoyp4Ck7yBKCH5/3fM2QJT3thyFKSkQHFmYai5P9ALfP23HOpGPLySZga2akJUd7H9iSI1lrcS4VtBG2cF03LFcrwq7h+nozVkdfrtcUVUlQit57KpuxPjyG9JwDMWgvC2/awkIIuK7j7OkTgnPU2w1D3zN0w8gAcd5RlqUwsqsKUcFS2DyTTAqlRgmRxKJO9kk/DJIaH6JMxiDghM0y6q7jS29+mc1uix/aMYuhzAvyI3muympWh4cEbaLesFy4Yj/N+GVrSqVSzfFvbgfN0oNKQSyYYDt5qJF5jmfoWrrtFe3mnK7eRekgi63WZGUFxYqsWDA0G/pmh6aXNNTOAcKGNUYRhjAy5nXUs03O/03gWikJ6iZtf6VMZAJOAQ+tExtRbFCbxbnjJuaLRgIrIQI7Adn3Eoiytz6RAi16lHSbX9d43rhXw37KuPeeLBbZUZlFDU7sjWiUeDdIFlMIKJ8KVsq9yu8zwC5lHEYQSBsptqlT1qC1MWAmgZ2+dTT1lrbe4bpe2MApeycvOFwfkFUlWVmR55WQOtbHGG1xbY3JcnSeo7MCtMGWSw7vPmBotpi+RgWPRtHVG/p2R9/sCENLaGtsUaGyQo6RFQJaz3yKEMdbYD8dFwU+1h0IWoMxY7BG1gJLMBm6UFRlzdXFj0DnVKtDVkd3qO4+FPB4VBCY7Dlm6+FLo/4fFIrJJpJssvHPPef8NvLC3GtItvfcF51/Lh1UQCBJEb8JFKTjh+hbxoPGfSSM/8QPnQEDpEwWGffO7ete3rQRJvs2rb3iAznvSIQw79346TmQncBul7IOCDM8PWqh74EaU22RQJSaHPfnfb3jJC918715v0/79D6Dbm4DpH9zRt68f+fPc48VDeRVxvHJAR8/fcaTx4/5td/4TY7v3ONP/vAP2T55gtKGL7/5ZQ4OVzx7+mSU1MpsJuvKGLyXZ9XUjSQXSk/NMADinDU4H2ibJmZDqfH5WKNRR0egoO06zi4v0M5x9/4D7ty5w+HBMb/0N/4mr739NmVZ8IM/+VP+9I/+mC+/+WWMtfzg+9/ja9/4OsvFkh9977t4N/D1b36T3BYv0rFmvvLL0L4oGHazvRCEJc0JP+4rfuhjzRjJrNpcXlDkotOb7MayLEfyURq3CYi9vr7GGI01OsorHND3k0ZxGgtZlo2FgFM9lt1uR9M0HBwcoJSiLEtOT085OTkhz4tRWziN5ToWcG5b0RpeLpdcXFyQ5zlHR0dcXFyM16iVHkmU87mqtaFtu+hXKi4vL2mahqZp2O12FEWJtZaiKCKIPdA0OwC+8tW3efLJEw4ODmgakWB7fv5cpBmNYbleR+KQ5e7DB5xfX4yZOv0gpCKRXrOSYRvm83maL/MA3VSfSO/N/88TNPh5IPHNNTz9Pi8Sd9Neufn5+RibB6c+7Xx7e3gcSzcD5FNg8kXZjC8CfH8xWQktoM6cQRlGVE2hVaDraoZ+ixs6ri6uaHuJhFR5TqZFU1gbg9GaLM/GCFkAmXRBHKY+pqGBpm0di0UeK5GntMwgbF+UaPkZO1L5s1gII4FD88JziSFkraUfWqqqEmAjFmbWEcBKmmdGa/pO0oHatgHEIC6KAk0qUpOAq/QQPKkYhjiqavzOoqpo2h7nBzFYQ/q8Hp2s1JJeCDACUFob2qalOKjQhaXte1wvgv3eO7JMmIvGGFwYsFaNqSdGSdG/oCUiJGyrnCwvx4GUWcvQOTyB7fkpbmjRucGEQPBqjBtqBQeHaxZFwe7qgvWde19kKH3WKJt+jWMt2j9/TW0CvELo2V5e0bYdJ3dOIuvsBig8gsTCPHlpAKbZZd7umGqyTMbB0Db020thg+uk5xOrhzvHRODfX3jyvKBuiwgOWPAN1ghI1BNwIMUV1f582Vtk41oCUdMypHQLRjd5/7onp8NFxvBU0G6a88PQQ0iQYiwCGT+X0qYTuKO1Fj1QJN0uMS3SMQVoTfc9GZtzrbEQUlECP4LOOrKijTHx+FMKu0IABGstVVky9D3Ke9EE7XrafqCuZQMOzlGVBQeHh6wOlmS5heBin/qYBqsmaYEIAI/pqUqjTQZolLER3IqbZ9xoAdzQ0nctKiCV0yPQB1HLaHD4rqPZbqSoTmR0xF2aVDhj6HtCBBTc0GNDIC/X+LalWh8RvBP2Wl6grWV7fUXftVH32bO5usIYKwVG2h2999i8JMtEK90PA11T02+vAcXRvVdZHj8gXxwihsGnLB5/fYvKX3m7udGn12DfQb3t9QQMvnBMprRSkrOpFI9ef5XrTcODh48EZNUKguHw+IRMGT50f45RolELUnzORYDp8OBYgmpacXR8zGK5ZLleYazl7NkzHn/4AW3dsLu6YrBS4LXeiFzC9nrD9dU1l5eiPdw6SUtbLBbjv7IsWa0WWGu4/+AeXduOTBwxiKIc0zDMnHrpD+fCWCMgZYMotZ+yJQFfFTOY9kH2ubaZAMpmDGYpM0nYyFoZU4UTs8pL2qdIYElXhxAYIrOy74Vd3/eiH+icOLZdK4zh58+f03Ytd+7e5c233+Ktr36FfhjwwcfgrE34/me2i/Nz+qZlcym63N45mqbh6uqKq4tL+q5nfXBAtVySGGBZlkkByQS4BWHzzoPukoklQQJb5AxdN+qUD85BgN1uS9d3sTBmDIhpTVlkmCIj5Bn5okIZiycWfUEKWoXonf5lWR3/2tosMPFFvGs1gsUi2+HqDdenH1NfPMN3O3zfCks12sQYQ748YnXvFfKju+higco3hK5maHeEEMToDwLeBOWkPsXqgGG3IYQuBhQmBt3IqldKGLJzcAsBzJJjlliGWhswjHuhigGZPU3RGcjhk8TNbL7J8RUJWZIAysRGttYyDANZTK3UsaCVjqzXJP2goyyEzPUIvccHkeRjAkkVaRpjSiephf0C1WOB1D1gWPSFQVK7d9fXbC8v5TRKYYuS6mBJUS3ICikgZ/NcSBVax3oNCp2VlMsDXLPF2BwyCybDZgVKWdaH9/DLQ3y7pS+X2HKF3V3j2i3KdbheUnXdMKDDgGt3aJsBooGuE2gWF4qUnUS0gbwPkGcU5QLQmKJA5yXoHIUw5QigfGDYXgGwvPuQ1eEJWbnE2ozl8QPQOan2AaQx//Lst1ObBVcVY7/BZ4MHav7zU0CEmz/n9q2NLPd0nlvPFebjNRahUyn4qZBaNS/2eQhSQLAb+qiR6vfOlSQPGAFaR1Apg0/GyU1/Il1fIgkwm0daIYXX4/6cAJv0XT87d8oWua3NQd150aXbQB+Z73qv3272422p2nNg+GYmMchS5LynXJQ8uHPMs9NLfvS9P6XpOooyI18tuXv3Ll3bcnHec+fOCcvlAqUE77BWtM/LQiSbhmGgLWtknElmnxs1huO6CbghylvG61SIbFNRlaRi1p7ANxYL3vrKV8iKHGsj4UtbXCSR/fJv/Abf/tW/gckkU/g7v/kb/PjPfshPvvd9Ht2/z6MH90fd+9QnKgabVQwsvDzw8H6bfLb912/6wzeDAvPXZK+azW+tCX2gqioWVcWuLBnaDqP1COKenp5O2ZtKMs4XiwXn5+csl0vW6zW73ZYiz2m7jqatUW1DWZYj/FBWFdpourZjcJ6uHyiKnHWekxd5lHOELM/HGh1JQiZJsoWQtKp78jznk08+GTGyJF9hraVtW0zMfk97OjDiZlpr2r6jbpqx0NnBwQGLxYKzs3PKsuTi4kLwLKOktsjBAU+fPaWqKpqm4cGjRzRNzdH6aPJXFDgCb779NkeHh/zar/8G773zzlj0WmuDV0JO1ejR908kizDbbxIom/b0m88w/ZyvKTeDALetnZ82TubHSp9LRNYEFs/XqZvHnF/DiDOMRNjpPClL4ub1hBDGQAIwyk3Mj/XXCg7vXVAYl3cpaAMQvBgnw0BX15ydntFstmwvN+TWSIElk0C2aEhqhQ5KtAa1xgTR22o6YdEEpTl8+BA7dAytnxmssqkkByNppRRFMS6qU1GJGxuDUnHg6lhlMif4uVjzlK5zvdnghqnasrDzmJxqUgpcKr4hHZMkMyQNSY5prWW7240pJADGGoqyIjT1qKGimHRT54NFJCtynBMHUxtDnmU0rhPdoQjGCGCtyVygNw49eIw2OARgzvKSoiwESNYCKBmbpDBEsN4YzbKEoanJFovYJ6ngjUKpANrw2huv8d57f84vn5yM6duf3saowv6r44Sa3p2iv+rW73xa+0J4T/ys957d9SXnZ2eieXjn7sigFBdizuWZ4vMvpa0b2/4ioVBY8nINrmLwVwz9Fo3o5KV5amxGYhHIGjRLTA/C8rX5kn5waJtJEbqujex+NzmYSu2BMkqpKBsw0Mf01yLPGUF4Y/BuMijH64/O5dyQmUdolVIj06lrpRhNmWVUiyo6tAnsfTHCln4mVqEZF9qbn5tSbmCScuj6jpiTFftP7zmZ86jsMDi0USJfk0nU1bmBtqnZXV+zQ9FH6ZjcWoplxXK5YLFYkhXCGMZNm2NKR82yTDSErY1yEVIYRYEUyolSOan/vPfgRT85hEAYRCfPDwOmKKLh7wl9R9u0dG2L72Utct5JwUtjsVaNbAmjDcFJGrN3ceYEh7IFtlqig5Pq5yDGcUiSOpa+qem7ftR+3l1dYuodtlpSFBUulwJ+fdfS1DuUdyyP77G+/yrF+i7KVEj4cH9DvDU48hK3PUBjdl9zLau9+41BkDAWsYn6sd6jreXOvfvcf1TENPTYe0H0cLO8oFyv6ZqaYiXscGEM12hrRJe2Kjm+f5eqqgjec311yfs//Sl9XdNutjR1jRscm7qhrRv84Kjrmu1my9XVJWdnpxhrsLllsVhweHhIVVUcHKzx3mEyy927d2i7lrIqyKOcRAoECIjk42vjLe/1wRTRV7EP5LexwGFIqVupj8WxTWBXQk49EjDDTwZiAoDFmZJidngZ113X0bUdWZ5jjaXrhzGo5ZnSZHe7WgAzX3N2djae90tvfpnFaokPgeOTY54+e06RFzGzh/E+VFBjUbMQO2DoOy7OnpPnFhcrbNe7HdfX17H6eo8xmtV6xSuvvkLbtah4P1mei3RGYrPNHHQftZ0T023oepH/iPdujcE5z5/80R9xdHwkdpkxaKPp3YALniK3PHjwgHK5Am3E+L8xnm+O9ZeljVaPUnsmgwwjeWgyEsMIyE+fkbAhQ8f2/BM255+guh3drsYPvRQpU/FzWmGCorl4wvbiGeXhHe6++iblwQlD22ByYfUMuw1aSSFQpTRVVXL46us8/skPEpIj577hsMx1n+f29NwBmzs6E8A8gbCwr61nox5yUFMhq/kzdt7NmPzE84m937Zt3EcdqKnY5JgNyORgqRjUT3Z6ADJr9vbMm2tosvlvyvQkp0spFeUeRG9YGYPrezZXV2yurtHasjo4pFofYMqSvKykMFmWx2CtwuYFY7E7bUQOQhmyciX7c5a0he0I2pu8ROcFdrEmb2vyZktfb2DoCNEHUzjC0OKHLuq4D/RtL5IPwY+j0vswWwvjvfUw7K5wgxR/LddHFKtjbB4D/yHA0EJfUy6WnLz6JYKWa14ePUCpPIKTn26PvyxzWADGdBP7xdhurkV7fys1+ggqAX+R6ZYKRWolWt1Bi+YzUZc6eRshahIHgqznYcaMDfNzxMy5W+yam9cnp5agu9Ua1/exSGrMtoWY/eGFmRekJtDgg+jkKx1rFUQAeNw/A70PVKsDquVKipvWW4wKMo7idRulCYRRf/8ms24OyM4L4d16HzPwapr3CYC5MaZn37n5rG5779MAm+S7hOCoFiUPrMXmho8fP2a9rBi6gefPnrBcLjg8OqTZiTRDWZYoYOhEbq5tu3E/MCYTgFwprDHkuYBhmc2kBoGROihBS4Hg5WpJXhTYLGd1eIKxWQRvA1pZglJ4JTZd2/dYq0SeKYK+Js9GXybPc77yla/yza99nXa7IcutLEczAkw0FpmyWF5m2zk9v8+3/tyc49O+FuU/naPrWvEtq4qqWvDx6RlaCVHx9PR01MNvmgZgJBAZY9hsNhGDEumEq+trTk6OKIqCzWbDer0WaTUvNVy0kayOMtaoqusdxhpyk9MPkl232e4E/zJRRikWWndRkkUkH4xISnjHbrfj8OCQwQ2R/Su+nlaTvFJiKoOXgopDj7U56/WaJ0+ejEHGpmkIETMoigJjNcvVkrquQYmGcVGWXG+uWS6XnJ2dcXx8TJ7nvPn1r/PNX/kVrNYE5/jk/fdp6kYyBo1ILqagdpKLm+blRFpK+3WSm5g/x5ug783fb1szYB9cvbkmzGUe9q9pshNSkfC5bXHz+PNjJNs6BcLSZ/bksphktEIIY5HqTwO/50TZz9O+MDgskaTYCUEYHUmyoOtbvHNcX1xy+ckneOfJtaY0Omrqpg1vMuK00gzao3LLyYP7PP/oA9TgeX52gUNx78EDfNMwBJF2SB0lWFFkoLhh7DwxFodx8NxMGxmL50SG7ZxJ7L3DB0fXCkDadR19100sYmMARxZTMIsyo20HXOsA0R1WCrLcxrSgWNDLSyR3t23GBzoONjfQ7jYxrdJATFlIjIXR2Yz3sFgusTqmwwSHzQymF6N3GDxZNukbagVWawYNg5oG5lyHVCaeHp1igkMFh+sd7a7m+ZMnvLY+ApuNe0JyqpU2nNx7wPsffsDjDz/gwWtvCBiTPpfGDNPf6sZvMqbktQT4DV3H9fU1q9WKLM8jKD0HZ2ff3R+dn2sMj8cJci+fPHlCvzvj+OCIcn0YHbYbh0tiuWH6lRdgp1/cpnRgTDW+2UaD1qCsplwekLkF4Am+xw0OmxfCMjUiHxIUIi+AB9fT1psYGGpxzZa2vpJ56Tw6eLAGL/n/YnBqKV7nI6NOE+i6gS4oVqsVyovGaFCigSjnSwbf5PwRgdA9MXcg+EA9DBQavPLULnD/ja9w/sE7LK0dDev5An5z4U26bSYWbYSk+TYt0ipMa9nY10oi+1qZkQUxLtpK2MjRCpdrznOcV6iuA+OwuaJSJUUp2p0oUCaLwKvBGJGVkfNE4ClMleK11qNhKcXbtMyhyBpO+uloI8A4ovUmhW0cIYh++9D17K4vuTw9pVyt6dqWru9QA/jgx6hxludUqzWHDx9y/vQZygfKxZI8z0FrbFmgIhgkNmmMbhYL+r6lOjhGKU3LFYTAQkvF5VYruq4dDZvdrsbYHt209HmBzSwuSCElbQzZYsnBw9cpjh9iivUY2tnr/3HIvywz90XnaP76ZzmD43cJY7Vy2YxEfsQLfRUiwz0ERVlKAQpjDXOiSJpv5eqAL3/9a2yuL7m6vGDoOorFgmy9YLk+YLlcoa3BB9E9O3v6CWdPnzI0NdeXVwydgBVWa9qup21FS/v87Fy0pgkUC0lJu3v3LkdHR5SlpERnmcHanGqxYFGVEAJZnsUCUmm/JAau5NmnaDtMjp0U35kCkomBlBhUUmgx1pEU3irD4MbjBy/j34fE/g/4PowAdIrgz535fugZ+h43iFzEZrvj3oP7uMGPbKIQYqEdJ/tvCIHr62suLyS97pVHD1kuljz75Clt17FYrTg+uUMeA+J7S/tsuZcYQOD6/Aw/dGwamcd9L9qGbd3QNjV933F4eMhytaDrmuT2SzBttA9isaKZsT3ep/MoDzgBAbq2pWtELksR2F1fsShy8vUqZhJosmWGthKoUsFidC77exp4QJgZzS/TvAVGsDc9g701CCb2LKMgECQwKAbS+uaa5uIp3faS0Gzwrif4nqHboYPHMUuZNgZjM4yC5vlHPN1tWJ7cZ3HnIbZc4tyAUYEBMf69khT2sw9+inadPFdl8IgesUahjWXwEFxP50T2hOAFKAJ0FqWjbqxFk70+jRORsIgws9GYLMcByiegeWLoEgLKZnGseHRgTCmfHDTGQL4nFliOmTgpAOsDoFOgWNY8nZcMwWPHPWKWJcQ0zpI9sAdaaR0BGYNSBhP3Zh8U7a7h/OlTqoMjju/eZ3F4jMkrTGZF4kFrrBVwWGklcg82BsLj4hWCEzkr58D1EMGIsZicMVKQzmSYymKKBeXBHbwf8JE5HIaOobmOALGAwgQvjH7voqPpxqyhEBnfohELwUvQ1vU9zeaKrt6S5SU2ywlapCyc9yzvPCSonHyx4ODBl0HHDCP8OPhVBASnNmUn/eI3CduNf90AAOav74EC8ZthRIgtQUWZOq3QVgKt2maoyOj2fUtXb3F9i3eDxAtiEeiQUlthstmmE4gUw4ywlK4nSbHMGWwQ94ZxLWe8bq0NWWS0d11Ls6sZXE98kNFm8NGXV6ChD4rBWt766tdZrg8IQaOVBF66rqXdbTl98iH9bhN7dMryI3ZPiIGhtLeAzHU16/Ob/Z/Wk7kNf7PN7fnbnt18/7rZd7cda+87WlGUOffunlAWOevlkk3Mfqp3W4a+oz84oGs7mqIhy7JZ4WtZ3wYX79uasdhcXe9YLJZy7UpS6E0mfleWSQZdUGDzgm/9yq9zfPde3GA8hFgfyDueffQhTx8/JsssRVVwdHLE+vCQvFyisASkFlHTdFw1DcNuQ1lkoit7cBJB5Hn21cu1937WXL3t90/7/s2W9jAVj220gK/Pnz9n6DuWyyX1rBBcVVWEENjtdqxWK+q6HjWE1+s1IYjkg9aa1XpJ18kxDg4OouzEhHtpbTDGUNc1RSH1ZoZYAHi3243s5OVyweXFJUYbMlTM0BdyYVlUEKCPdYGstVLfo6nHvS7LxH9MxaDTGtL3AwfHR9RNw9PHT6VYeCwYd3FxwdHREXXdjHv4+fk5/dBTRebz4BxZWfDo0SO22y337t3j8vKSANy7f0/IEdGH/9n777NcLIRY5D06BPFbx/E4NXnEE1s37dNhzKid5vZtvuBtftPNZ57aPJA8nV+NwHT6/nxtuokPzH/O7Yqb1xJCGP2XhAXOtaHnn5lnNt68x9vWs5/XvpisxF6HxO3e+2i8K5rths3pM7p6R99KFc8yz+hyG9lLYUz3yvMsOhieQhu8cTx//2eoAEYr7t69g6rWVHmG6WpQopM5T3khOl7WWJx35NFRDIExlWwyJOeLhRZnb8Z48N6jjabdCSOOgGiSZpmkeI7swDCC2jbLaJthNNq0FrZeQPQXQ2Q3JOMrj3IXUi1SHMusyGLa+xBB26lwXt20sRiPsGus1myvr1ksS9wwSBFiNbGbBuckBShoKdpjLYPzZN5G0XTp76Rnk3TnbDLuU1VWo3BegPy+bWg2G8rlGhOL7ghjQj6rreWVV17j8uKcB49eJVg9OpVTm+KNCVgmsmSm10S3bnu9oa53KCtRtTzPqZYLVJAKnZkVhoZSOkpfCfCR0t1H52q2gIz6XHtXIp/zwROGARUCn3zwHqv1mqP7r2LLtUTQlRL5iJsbTIo+/gUm3b+OFtKc+QwAXe4HlC3IbBHhI0lDHbn0IaC8w/UNrmtx7Za+qSOgCK6rce2O4IcIOg3Mtc/8KOSfUj0VKrLsnffkB3cYuo4y0wRjxiCJUio6skmPKxVMmQDetGAGH+icJ1+tqC/OKaxmUS0FnBiLQeyneMwjd9P7zECk/YjzGMWD8bzzjSHLstHYS5+fG+EyfyLjou0wyyXKKlTXo4Ayt6BFV1QrjcZLcUulRoAvuSCpb9PGnorPKWtGzUDRRo3yEinNNoLCY8aDH3BdT1fv2G039HVN1zQ8/vhjTo6PGTyIJIVlsVqRlwWL1YFUb88stlhw/OARYfCYTDImjLXoPCerVpisiGxlKXSotCUrV3RBUR5oAbJMhu5aYUaVFUsfxPhB5INCCPRdg0MyJDIrTjfacvLql6mOHmDL1Qvj/C+7Uf7rbH8RA3b/vWmcjOGsIP9zfpIumlLfprTRkKZ9PExMaGR9dMT66FDSoUfDR0cgLNDXWz762fvsrq9wXcvV+YVo5kVDZnN9TVM3bDYbLs4vqKM+2nK54P79uxweHpJlVvTYrGW9XtF1IgMlxqgjz/OYPpUi49l4L3OD7DbnMc3X+U/wGKsl3T4Ctdpo/BD5my6+piQ7oR8EXE1ZO85JsR7npQhVluUk7UAQZ7fvB3rnePWtL/PK66/z/jvvcn15JXPYCUvSaEn9u7y8lBS/yNxYr9bgPcvlMvbJmoPDA8qqHO9Lzf4/b945Lk5PUcDFxbmsTSGMenFt27FYLDg+Pub4+FjYwnE8pGIrsM/GkrUyyh0kPb0YTOv7nrppxpTGkzt3aJqGpG8bfMDkRrTkFPSN6BBzY6+dG/MvHTDMiN3c6lon28f3tfg81pKEj5Qf8O2ObndJ12zA9xBE8mQgUJQLCeTEAja77TUqeNwg/ZXlBWW1IoSByyfvcfn8Y4rVEcXyQAAKpTHaoOMY1f1Anhe4Ykmuobm6oFeKYXDj9Uz2pYzVJDWS2jyDZi7/4IOQIHwEeVMaeZ4Xo10t+/Z+wUylhOGY5mNgKiadJNcS+OYjWJ2kJGCa4z75AEqynySILQy+tGd6P7wwzhLIl1hec9tA9lgrrOHEVPaB7dUVVVVxfOcuy6ND8sUSnRUCJsdsHVOUaGPpu1auPzl/rsf3Pd73YxaBnmklmhicVyru6xFslPflGky+RMWMCbs6wg+dSI/0LQRH1vcE56ItI5lcxIydREwRTc0B610MlnkBurpOMh/bBhUGsmJFtj5hcXTM6uR1VJZNA34c4S/MiNm/X/wWgiNEGY50a58GDuw59URTDQhaYcsCZ8Th0dZg8xKlLVW1QGnN0DaiIz4M9J2Aw9pYDELyCU6eS9rXlB45u6BUvL7b10kVL0SKjMXrS3JHIQL1cYFyztHvdqANy4NDDk/uoSIYIQXXHX3bEJyn63u6fmCI87rZNXz47nt0dU2eFxTLFQ9fe52DO/dZHd9l6Bq6esPPfvoTrFJ4N8Qixp4kWyAeSrRndfLNwzjfnRtmRJC018caRGN6+Y17Z1oLUrvJ9psXfp+/PwZkGCGHG/0cyDPLnZNj8izn+uqK+uiI8/MzdjvJ+knSWEVRyDXBuE4pJZJcInM5SLC2bWmbTtYdLXr8QcWCnDYbmahD8Jis4Df/3r8j4xJGbOSTjz7ke7/3e4ShFzmLzPD43cDy4IDV4TGrw2OKxZLV6oA7J3el71zL8ydPOD87p21b7r/yKiGIX31LzstL2ALhL3Hpc79Qpl2cdwhoV1UVT86eY5Ti4GBN8+yU9Xo9yjyUZTkGB5bLJSd371IuFjx/8oQsW0RAMdB1Hc+fP2e5FIKNUgprNXVdMwwDRVGNIOjl5VUEJj1lWY5SFkpJVvzx0fFoQ86LuaYM25OTEz7++OMRm0qa3otqMRaWWywWaK0jc1jz0Qcfcnl1iRvCqJucCrC/8caX+PjjxywWC6qq4lvf+iZPnj6Ja5Zkitm+5/333+fw8JA8z7lz9y42yzg4PkIbjbUZru85Pz1jaDt4Q4LUCdOZu28TfhdIPs4+GWTygT6LIHRbAOEmSDv3IRJQm7Iykx506tsR7xgz4G8/Tjr3fsBb7f0bA0rqBgku4SIzeZ35MW8C0reB4J/VvhA4PGFssYPw40QJwTPsNpx9+AGbs1NJUTWKssqp6+k0yaFP4KJSWorQ9B2FNcIUDB7lBx4+fMAnP/sZ62UOzjNEg1MuIaa8WI1zQjPXEWSaR7vGjowG5BSBmdD79AC7rqPtOgKiH+jjubTRoyGaojhC4RbHWNIp5f5kcHq60I6p6yLbMEUF5iyEdA1JB0YenkT1ddQ8a/ue4uSY0ydPUChJJSeMAW2l5N5GIzoIoGK0pSgyhMzj6Riw3tA0DXmQDSMZgsaKI5icxj7KfDRtzfnZMw6VYrlao+3NIaO49+AR3/vTP+bpJ4958MprUaMyjpMw/YgXu7e3CNjTCoupazFasagK/NCzvTrlfLula1uyLOf6+oo79+6xPrnL4cn9caPebLdobbBZNkmJzADh6WQv+J4oYLla0GeK9vqay6dP2DUNr73+VbLFmqAiaHUD7E6Hf1lgpk8zx286Q2Js+uk7IYHtLoKHLUO7o9teESLDYQSYnCcMHb4TFppo2XlUTMERhm9kuXovIGVatLXGFgWro2Oa82cCzDIVokxzRWuNiw6mjg90NBKJRqCC0hiaesciz+X5+Q7b9xTVYi/9LN13aikFJxmGIczTQab5i4p8dj+Jws8jvGlRT0yndO2TcSnBpK7ryAyE7RUoxRAC1thYSV1AUa101AKOx4l94kNAmaRrLjruOhryWGEMYwzaWLS2kv+rdUwdDuIkk5xCR9vU1JeX7K6uqXc7vAOykuLOaxx9+S2q5YL6+go1dBS5Ia8qitXhqJ3ofaAokb6JGvDGGkwm4LC2GSYTp0jiEAadLSlMRt9uWWU5rmtoaymuo/xUhRatonyQQ3lxjJxzKKNp+4E79x+RH9zD5CuCNhJlTmN/Nr7Hcf8XmUT/GttNw+a292HfGRrbDJkSLMJhtBKQIASCExkPYySAkOZkCrDunycCxGlO26TVrSLoE7i+uuTZhx/S7HYMbcvQtITBURYlTduIDlo/cH11zeb6ms1mg9Ga1WrF/fv3WSxLQFLRi6JgtVpiraEsC3Guo46ZtRLUNEYcuBQ9T87TPCI/b3ODbW/901oCENFWUDEl3vkJ/FXK0Hc7mraljyy9vusBCTin2gB5nnNxfjVbG4R1oa1h27T821//JiYzDCHwZz/9CW+88hoqBNFfDoGrzYauFcC0qioODg8pqwqUoqwqjo5PWCxX3E+60C+OiIT/A4gEzDDEzIBox2j5vW1bNpsNJyfHrA/WVAthuiRwOAXCtJ4cpNS3iaWQjGQ3DCLh0/d479lut1FmQ7T2xqCaluKHZTSsgzVkuTCiwuiMTsHMOUviZQKKb5uy82vXeOrtBQqHshk2rqND1+LaXQT1BlxbS/E0Y9jtOowa6NsG33ciFaAN+WKJG3r8MND2HaZYkJcVRVnR11vas4+pL05ZHxyitVT9VloLgzHqGR7ef42+FZmCJPkWBofxAY3FhcjEj86mAB2MQGtyOoERlDUmBo2UMOFQMaDKxNq/6YjN17vkHIURIJLjTwV+9lNJlVZ7oKrEVGPWj4rpts5hrZmdc1o751qBAqxNLMyJWKBGbf9JvmegaxsODo5YHBxSrY/IqjUqpX1HELbbbrB5gdZSNDM4T9fscF2DDjN9ZwUujDM59nUmwH6Wj/IUkq2nRjs7gdWptoPOClSWSx/IBIv9ywgOp8CUTDfxCYJzkXHssN5TOidF7/wgM1RbFod3ydcnhFTDgMkxf0mm6Gc3Nc1hxS1762e1IEAwKA7u3J224ZSE6ANS8E6RlSU2N9iioGtq2lbYgO1uy+npU4amG6XNjDFUi5yqErDJ35gv4/yb2aIpyJL+3tfTTXZpBDeA4Hs2p8+4en5KlpdiQ2uDyQuqxUKKIS9X0W+09E3DD/7498noMcHT1BvOP/mI62eP0UXB+ugu5WKFtpovffVrdM2Obrel3lwxdH5yToLkFaTgRfKfvU+F6MQmNNYQ/Nx3SetGfGhAKkI19sHMRrqZUXwz3XpP8s7vAzGylqjRp0nG5Hq9ZFFVtG3L0dEhTdNwfb2VQGlkiw5dh3d+ZHh6L/NURUnJJI+5H7gS8Nh5h80yMmPHoNWuafjSl9/i3sOHqFj74eMPP+Sn3/suV2dnwjTMLAE5xm7T8NHPPqSqSvKipFodoPKSX/vN38TkJfdf+zIH2w3np0/ouo6itGN/vmztVls4ts8zhz+NUKK1HncBNzi2263IhXUiFbK53mCzjPV6HckDjvV6Tdu2Y6Bxu90SQqBtW1arFZeXG1arFWL3im2dMsr2tfYVq5WAvE3TsFwu2e12sYid2L2Xl5dkWUa1WIzfy7KMTz75hFdffZXtdjvucXVdA7Berzk7P2WxWND3PSgBsNN47PuexWIh80tB13dcXW729syu6/jpT3+KUnoElJ89f87Xvv41fv/3fo+jk+N4X5KxXlUlxlqur6/o+p7f+R//R/7m3/rb3Dk+IXjPa2+8wZ/94If82q/pkZDpiMoFSQObOVN2P7CcsmPgdhbtvl8+4QFp3bwJHs/XgAT8tm1LCGEM/MzHSPpM+v5Nu2Z+7LmG+m0gcTrmSOy8ca23MZNTu83//Tzti4HDASmQofahMgFfPM3uWgp6bRuUVlJwTg+yefST9MP8pp1zNG07vRaLmpTG8PT9dynzTCKLWkctCaIBKmk3HsW2aVktF3GH8HvU8uCdGItJS03LppGqH8vmr+iahq4fJKFUTwNgjraPBZ6kxwnOYVOBC4Sd4xNYjDCajY7F84KPqWeB2jVIcQc9GtPpntJm2PeDaBkiKa2/+Td/gz/4579Lc72liuzC9C8NgL4f6L1s7pLKJbqLNtNk3sb+l/TctutE/yiC7MlIscZISqtzWG04WK25vrxA2YxqtRqN/HFMKBHGf/urX+G9d96hqhasj48joPXiGBK8Z5BUwQhQee/QKIx3XJ+fcfH8KVenp+yurvDDgPdE+QvD5snHmMWS5foIk2Wc3LuL0oayXOCMpUsbvZnGgA9ItM3avX1OAUZbDk/uAoEiz3n++DHBtXzy4Ts8euvrqGwRje9JhT44capuw59/YVsIo3H6adEzAB8cQ31FcAPBBVRi+/gBPwjjJnhxQH10KERTsxeWyiCSBG7o4z8BoLxSUmQygj5h5jxoJJW1yHPa0ydYrRgcaBXG651LPgzOMSgp/GRTgUAvTlbiHihrKI2m63swGbnVZFaPjhOzNWjPgJyxlxLgK2vAVHQnxOCNiimYzIztdBxUGOu/aSJjI4RJsxNJS0vV3FOSnVE6sq2lwE463/wpuTmbeZa6MgJ8NrGFIyhssqhJOtvcom6cD46ha2i2G1wvOsfOO/JCjMf83qv83X/rH5CVUqBq6FqevPtDQnON72pWh8cs1scoI0xhMeRDDLAJOEw0hDE5Kq8mLdSAOLBWKjkTAlkIFL5nqHc416KCwXtxUFNTM7br4BzLoqQ8OEGZUpz84Cd46VOMwJdl2v5F254BdBMoD4Ghd1IbYOh5fnrK+vCIO3fvxvRUMXqbtmGxXESAJM0sSCiEmv9E+v3y8pKP338fupauqdluNpK6HTXY6t2O66tr3DDQRIfJaBMZw/c5OjrEeSm2URQ5SkntgCyz+BB1zIwYSXoEZxJgqV6495tA4lRXYN9hNMZEJoDs1UpbyqJks93iPZydX5LbnBCg68RYbppdNL7lGNZmDIMjhIHNZktd15RlyWKx4Orqciysqa3lz3/651xvNjz+8APOT89ptzWLspICuP1AIGCzjKIouHPnDgcHB1SrJaYoWR8eUK3XvPqlL5FHwHjcnGaBgCkyG7i+vADv2VxvRDvceZqmoY/yEiJXI4GBuY2W0g5h0lNPoJkA4Was+TAMwxjAT/rKKZimtQD9Inlj6bqeapExeIe2BlMUo2badCv7+9RnPddf2PZZAWSFSAK5FoYWvwt4m4Ef8HiCd/ihZ+g6ut0mAhgBqwz19go/9KgAQ9+htKb2XmTGrEErYeT1zY5iscTmBa5rUKGn3V5QHdxBVwWuF9AphEBWaOqrU7p6KxliWmOyjKHtCN5ivKbrasrjB6zvPaI9e0J3fYZLxI1otyc0zUaAI4SA84G+d8JW1glAllR5PwyRkT+NvREY8p6kd5kKP3sPRinKPI/gZuxOJUQOTIZC5JG0NujoHCoUOtPo3ND2jm7oySKgIgV94ueMFt6FSdlpMuZMJsB90mFP+1dQUZ4pasRWqyVZucAUFTqLbHBlok3Vy3MggLE0XYuOLNz2+gwTkob3/jgJPqCMkWeuFa6v8VYyZoIyo08jS/WkWTsW+yI5kGq0fbSK63d8fWQha4PNFqjSjCBx8IPYV1kpe7G15PkCmy8mKYkgxJaJQPQSzM/P2ZKXdxuDTFqc6KJ/BirKOcV9zmYivyUBggguybZK8NA3Nd//3nexRYFvGnYXFzgnNrbRotWpjCa4wDB0bLYbVusF6/U6gkLxGpj2vzkgcTP4MgeQfQwK6GgX67ifWKPxzkvhy/i5fhjYmDhnjLDyPQbJBnMSwFCGPLMSDFQK1bdcffQuZ17IDFW1lPmk1QiC6TKX2hNeALA0FyVzth/Pn0gXIJI4k7aoNJGMQgKmQQhdE6t4qg8yB23madjzYtapr4QxPcT5MwUpAZE00zoWrwSdW4w1VFVJIHC4a9hut+zqmr7r6Nqepm5icdaBvhMG9rhfKlitVpyfn4/nTNclWcmJEBNzOY3h//p/+T/z8LVXWR8e4gN88vHHrIuCerMlSfh0fuAb3/42jz95BkPP4eEaba5ou4ajew9FqihIAKBYrSjbA64vr8nzJUFptJrvYy8nWPxZ7fOCxRKc9BhNzHLXPHv2jCzP2DU1yhiWUSrCR8mQxM49Pj6WgE/bslwux6ysut6xXq9BEVm+egRprbUURc7Z2SmvvfYawzBwdbUhkTcuLs559OjRGIBYLpeAZKcbbai7RvzqpuWVR6+MDGexSa/Gsd/3PV3XUxSePC9ompY8y9nudqyWqwiEDjRNHY8tIOXV1XX0i3UkTebUdTPqKvdDzx/8/u9z//59nj1/xltvv0VRlty7f5/HTx7TD55Hr75KCHC12fFP/+l/z7/7D/8hB8s1oGjrRiaZTyShAIY94oM8Pz/O7/Ss9p/r7azZ+Rp583s3wdw5SDsPKCXQP60xSQXg08DYm/brTbs2/T4nsaTjzjOc02duYw3fVrhuzLb+nO2LgcOzTXG6KTVq9Q2taOqqTNiqRAkJHVNDlVJS1CReYBKxFn2xWednGd45ipjiGojFKhBDxg1RkytA0/Yc3rnD0DbRsVAje8h5T9f1HGS5bERe6OmEIEafl4hl07b0Q0+KNMrm6UcdpHSvSQeNpFtmNNZq0t5kraEschkcOqqZhf8/eX/2bFuWnfdhv9msZrenvfdm5s2mKiurB0AQIMEGBC2LVki2bDr06Aj7b9Kb/wD5VS+yw2HRYZE2JUqURAIgAAKsJiszK5vbnn7vvbrZ+GHMufY6556bqJTsYF1wVdzK0+29VzObMb7xje9DmLnGoLVi6IYEQGW8O0w2NwkMRVdmD1wt5zP+9L/77+hvbijU3hSO3KKv2G9cytD2noWxaCPnXFKglaGwBW3bMQxe2CVtixsG6rqiqrWwbxNTKcbI0HX88uOPWR8fE1frfeyj9uzFdHOYz5e89egRf/ov/yW//Xt/i8V6TVC5EUBa/d0wYBT89C/+FFC89+3vUBhF9I6Xz57y8qvPuXj6FZvrK5qmo2mSmVnMLpmKshA5kkJrTGGoFgt8jMwWCwpbMJvV1LO5aHllBoixfOeHP2a+PGAs25OAKRA2BZHl0QPmBw+4fvE5Lz7+CZfPn3L6zrfkCvS+UqVQUihRil99qv3bPcZKUzKauMvWGRcrP9BcvkBHDzGN94iYV8UA3uFdl+ZORMVA6BtiTIDx4HFukOJNjDjviM4TtaaoqlQMED266eKWz8EYtWcUTwKh2wuqRhlL37ajpu9+cZYAMaYFUxtLBxBFB1MlZ98p03dabdwnUYhR3Hif9uB6QMweiB6r9yLvt9lt7NkBPs+T28L2eX7HBBqP92KyAeRre3Wh329U+VpMMnoyyhC1SMsYY2UeTM8xZbZhGOjbhnZ7g+t7Bu/xQTFfH1HWc4r5ksMPvk9ZLyAnnEDQhtXbHzBsLigPTlBlLW7qthifK2SAKUt/yB2cpCjk6tG+yCIa08oYikWJRZiabbvDkAJ7FMrntv+A8q1o9bU7TOFFYgKL4rZhwZt83N137/7uLzsmeNt4eOf513/yJ1SzGe++/z6Hx8fynFIRVUzDqvT+6clH0eMd9+oElCQBQ0Jwwn5TgaIuOb84w7meqA0uVdmHXgpGN9c3NE1DYSyrgwMODw85ODiQIrKSFrmikD2zLAsxqEt7gMQSeZ5K11CMt80Zxv2aVxPA6dwxRjppBLhVgBlDmt4FhkH+KWX47PPPOTw8Tl0uPUPfJX01uacCDMvczlptSl1hbUE/9MQIzXaH95GPf/4J733wPr/87FM+/slPef/99wnrQJFYImVZslgsODg4GNvvirpmeXjAfLnk8QcfUC0WRK3uLcLKhe91KbtWAKmh7yiKgs41BO/H8xSG9pLlcknbtqk1UY3/vSu7M7KZvMclh3rnHN75ZHiiRzmMzWbD0PewWKR702OTnmFRlClmk7ULrcd9eV+MuA14vGnHfdeQizQhRrwfUC6BIN4RvUPoexCck6JZAlq8G9A6GX4uV3RNQ2FFg7BvG5wXsxptk2av1qkzzBBDgQoiKdC7gcX6gIB4dmhr0SFgBoedr+hQ4Ad670Tfvq4geIqqZHbyAD90NJtrYtojddrrfCpsuGEYY1uRk1AURYVzgWHokqxb3JM0AMb5uweGp7p94xxGMeRECen2yeQK54Mw8tuGuirvFHhF21Mbg/INKsX3NjGgQ27ZDFMZORJYltbR/Jm5gEJaT5QUqWxZYJIRrNayD0nH6wDR0TVbVIz0zY6gS2arJdvnn+O7Dtdsxy4sPzqPx3EUKaPHczW2xNtCunLqBd4FopNi9BhbJS+WXDryuWCax2DqtIxRQCaJfRQqaSmjDTERYrTWKGuTbEwywLSlgIIqf4bs+7cl5e7OhayX+2YAx3eB1VdBh/R38lv2sz3FjFHMrr132CT1MpsvMCZ1SaQc7hc//SlPPvmUd7/zIcvlAj10IqelNd45VCq6iPaw7IHD4Li8vBIJxsn8mB4qFQByp+xdICQEMaE16XOC90JUiLffw1iDCioZmEe00nt9aj8w+B5rDcGFUXow5+NKa8q6osznE/y+WJP26K5pILH7NXtD9ql+//S+v4pD7GPhPUies7P96+/TDs0t70bv/QnuxhD7XGF/X+Rn0iGh4z5fN0ZB6uhbHUgnTga5u1bMnCUW6vFesWsa3ODoupZt0zAMA0dHh0l6UhGCJwTp5HFuEHDOWGIIDH2Paxs++elPaPuewljC4DBKupdClMLdw8fvcHV1xccf/4JCKeq6wpaao+MTXr64wKC5ahp+86//DkfHR1RVSbdr8g1mqrv95u3A/9OOu2MuxphWOJM8chrK0jKrazabDVpLp0CXiu+FEYBUurKOx6I5iITbZrOhKAqapuHBg1ParqHrOtbrvRTFYjEfweOXL19SVRXHx4ecnZ3hXGCxmLPZ3FCW5QgoT03ZVosVrh84fXgqOsdR4Z3nbHOW9oCIxnBzs2U2XzK4QNNuub6+4fT0lNX6EKMNu6bB6EhR1vgAV9cXhADL5WqUT7TJsH65XI7zqO86AoGTBw/59ne+w7OnTyis5bNPf8nhyQm98zx5dsbx6QNOHr7N24/f4fDwhGHXEIbAl198wdnZGQ/rGmsNHtm35IFIfilYmb4V44/7vd6z7/Ncf92aPn3ud39237ofozCGc2En42bT97j7eSMOM2H8TiW4XokR2ctW3gWLpwD13SP/PAPFcg5hJLL8Ksc3NqS7dWTTDII0EwXHbFYTiAxuwJQGGzzzeYW1wtib6mdMg70s1t4NvVQiTG77UMm/SALJkCqW0YHCs5jX+K6nNAXW5BYy2XB7H5gfHrHb7phVdmxLhogLnuDkAfUJGBa2m5HA1nth79hiFPwek8vUJmesGVt6isJSFJZhaPfsxHyTk05a07TJNK4iRjH2MAlwloVDqkEZjMqDnmgo8NjFHFvVKCUMY8HrpgNZ0bnIwYMH+O1V0kMzlNaiTUAbWTTE5VnaANq242azpR+k9UEBVV2yPlwJE3nw3Jy9IOrI2+99QLTFbWCYtGhqw8nDd+j7yJ//8R/z8N13ODg6YrU+wPU92+trPv/sl1ydv6QsC/7a7/4e1mhuLp/z1c8/FnD42VM2lxcpIACQQoA2mrbvJcAtS/ohO3SHpJtsknaVBC3z+ZyitGlkagZV8v6H34dlSqQz0+TOPFHaoAk8f/qE7uaKq7MnHDx8hC3nmY8K8XZL0psS5AKgRCpFq9dD2tF7XN9hSEnDhFETg7ANxbjM4QZhePbtjpHdnwPeuDdJI0a8G2TOTILUbGqWK20CjKoEOCVQdTTSkvcNREqtcMMgWshxzy6GSYCotWhYAiYqiMJQy/MyA7fTfzEl08RcvJG2cglSPSqtQToK00mVM4LrR/bu7aplHO9brikJSJpKDFpBWnO8G26fO/cHv+PfJFxOmQKTGMhaC6jqnedqe8XByQOs1rKOpkTWe58kM8D1LdurS5qbjQTrWlNXNUW9oKgXlLM59fFDDt9+L4E1aaOyBY/e+xZDc4M9esj86CHZhTtPLPlrWcNCDJBAMwWiQx1ToSGNMZKum6yvcSz8oRRFUWOiHze2mCSHgvcMg5ibFYUwqkLoGVxJPVtJcnvf+L4nuXhTjm9yzncDWyL4oRc2fgg0zY7v/vBHVHVNvZjf3rOUyD8pdDKyS+7oEWEzpsKQzPOkyZjGtWsbDLDbbPGDS8CNxTWNSBVFYRNc3VzLPqQFBcvM4KIUANh5RwiO1Wo5jg0BJCUAtTZrgObize01bT+PGJO62yCT3JthGBLbKDPedXJ0dribBqUUp6cP+OLzL9heb4keYQ03Uljd7naJRdxijKUsC0IMbHc7SXCdF0awLZIGb0/X9oDik/5jNptrNIpHjx7R9T3KGk5OjvnORx+xvb7Bao21hnJecXB8RL1c8cF3PqSez1Fmz2aDEaOfDAI1FteGYRCfAq3p2p6+kyR1GFySo2JMYIuqEOMyI/GSsLT34+pu8ByjmFkarUfdUe8cZdKkzXp1ddKL1loxr2u0AqcCOslXROcEkMpg9J1x/zqWx5t65EcllyMSaUKONUSVwMog85UJgcIYi65q+q6V+BOVQHZAi0RZjBGrC4y1YuiCdOXRuzSPA32zk+6XLAkSIlhLUZT0XS/FHiddZIq8Zis2z78kBo8lMChhyim1HxtuGHCJwCFzTVHVM9zgOb+4wCf5FaUixipms7kw7eKe2RfjbWAY9jlDlmrKut7ODePd1MpAVBQp9s2t9FlTUZclgSjsdbfXGVZKjVJEPv1Xa50VoFPt8o7hzYQdJMSXUsyqY8BH8VvA5yK3x/c9zvWUtkR7B3Rsr1r80ODaLaFpcUOPG1rCIGulUmJ4FAEf9yx+U1SUZY0pKrqupUj667nVPsYgHVzegw+opNsak9Gd0kqY0Arc4ChGDxiRnjDGyvVZm+SgKlQ1x9a1dPx1W9Fir0S2IqNmkbw23AUp8zp1P7j663pkIPu+pWaawI9kBvb3ISIxM96hQ4BhwKkdDZHZcgUhcvHyJecvnmMNvPPoEe1G9MUzaBtjxGa5wTT+MogbY2C5WNB33cj6zd0FKVtJHh/xFemJ/N8MeubCSAZt0Xl/l2sNfi93QhrP+f2NUgQl3kNCckixXgKGQ8zno4RioSZrOaBCkDw4bWDjOpI0ePdAz95AfrqXT2P5/KxygUm+fs2znfwieI93TnKeUZImAfzp2U9ZyjleUpMkcnp/p6CNdGZIG31Y+JEUJ/qyXhjFyZxX9up+vDYg6b7nQp94Iw2DS3uryF6EKP4BhSkmviwyJq2xPHr8Dj//+c85Wq9QEa5vbuiuWy7Or1gtl/i2Z/HghJfPn6Ki44tPfsHh4TEjMeBrCj5/FY9Xij95/mgxa40hmTZrBTEQUrwTvcfOZuLl0AgWNAzDaL52eXk5AsIZODw+PhEzt6NDfvgbv8EvfvZTrJUiL5CwI2EFa63ZbDbMZjMODw95+vTpCB7udjucc7zzzjsopXjy5Am7zY6yquBac3Zxznq9ljwQaNuG+XxOWVfSRda2NE0zyruJGV5Bs2vHc9lsNjx//gJQLBaLBIrr8XqytnKWf1os5sxnM5599RXXlzMeP36HL778kqOTU7abLS7C93/4Yz76/g9YHqwpjIEQeP78Kf/3/+t/wZ/96Z9wfHzM+9/+Fr//7/0vqFYr2q4HYyHujeHh/vgwxn2XxH1SD6971vm4C8ZOPyNM8v5pt90UzP26MZWPKXB9N+a5Nfbu/Hz6nq8jT0w/U2cFhV/x+Ebg8FjBkyyfDAPIRpAAAa0orJWEAo/TmnpWJ3OWtIAVRWppEndhr+K4kJdlKYHQaDghiyFkN0BZDAursWUJSuOdbDvOO1A5yFbMTEHfbJkVYqmljRizuWHCWIaUYALEEawiSTLEZLCy193To6OqMAYCZWVRyuDcMLKW91qDlojHd368f7ndcv/QdAp4pSUmBDeykIyxKCUBgbWavt1ysJ4TowclgexUPL/btri1oy4rlA4Yq1LQkMB3Jayevu/I7bjC0m3SAJ9jC6kkl2VJWWlcVNxcXPDsyy94/O3vkhlm48DUSti3KvL2e+9yenrKV199xr/68z/j5OEjbm6uubo45/j4AY8evcV7H36IKQwvv/yML37xF1w8fcrFyysGH2h7J9IEgPdSkYpuH6yLxm1INXr5n8fhjOgaeu/YbRoKq5Jem2LAcPHiJQfHD1JL+yTYS/FcyqNxfcsvP/uEdXBUzZbN9SXrB0sBDEmmCSlQk1nwZm2a1thXFp5bi2pIxi5JLiXG/RWqBN7GQTbD4Ab6vhF2UwgEnYo6qbgRg7R2Ki0ArTRr5oQqtc0qJaKFOamISHVzcImYmPS8YzLP0vIzpeLINFLpOsaNQikBwVJbaaFA6b1ZirmT1OX7IF/sdW5DAsKstRD2ba+oSGki/dBJuKv373eLkR1lTUOnBT5EYRIpkilJSakUQ9vg+m6cw5mhno1C7kpWKAU6ypwmDGilBJjRFluVHJQVpijAWDH100bYUMGD72l2WzbX1/S7BucdVVlTLlbUqxWzxRJT1JiiZn70SD5DPhiQYpYLcP7VL1kcHBOWh5Oxs1/j9gMsQNgzmDLYP000jC3RiYWoUeyLCx7XbmUvGDqsUWLakrpEqqrGmgLlFcQBjML1WwY05ax848GjfLwuiLnv93fntvxXAtjCaGIYePb8GeeXV/zwN39TnK9Rky6KaaILhEC723JxdkaZWhW7TjoHpGtFzHpsaiMVZlCkLArqqhrNKlBgCkPXRbbbLccnJ/zy5lNCCKwnjEGdpFFQe0AnBGHU5oQsRkmYRDM0B04CFL8qG5HMFhPzfJR20Ht5lxgDzg3EKAZpu91OwOFBktPNlVzzcrHkq6++SuDxMGrMKSVsDAHyRAdbOmw0g+sgijQUUdg/88WCqp7x8cefsG02fOu73+HowQkxSsHZFgX1LDE1rWV5sGZxcMDq8IhHj98TEyNjxC40gYM5R721rY0JeEqYSQFresYZIM5AeWYJZ1A43zcxIdu38wKj0dwwpPXH7ANbY4wAFnoP2McYGfp+dLf2zlPVitXhIYcPTum3jazPCQANfi8Pdt9Yv/v1m3DcnZ8qjRGb2NMxRoIfUn00RTcVeKdTp44UZVAeHwYplEQYgMJYonPCQo4RPzhMkXUtA0YlAFdbXN/j3c3o5VBaKzM+eOxyjbIFQ98SezFmjgksCU60P0dNfltgdQSjCMNAOT9EKegvXiQFOAXRYMuKXdvSd8O4n+W2U+8Cu22LNZaqLvOd2u8pUaSuciEIkL3YgEIk0+qiSuwbkXXQsRdg0whwjXNSGLEWHYPsMcZQlJUkZaT1wCTj7Oz3kcCtXNhUMelBpuK1YrL2Ko0pC6p6ztD1eNfjuhab9r4YhR2prcVHj3cdvu/o2jYV132SkcvAFslgLznHWytG2TnviJ623WCGFnbXAhbXNcL6FWDLJ7NC1w/EbOQVnLx3UaOHEps6Of0gv9cpvnBD6ohQonNcVDWmbDHljGK2oKgWaFMSewfFVG9xCiRNAeME/BHfqHmrkwzK3TD/3muIt78UoF3iIoMwfoN3eDegYuDl02f8+R/9IU+efMn3f/h9rNbUytJvd1itCD7Ffmld9c4JMz8IcaiuKqqqHPW1gfFvdZI+McoQVRxBVdjHBfcxjfPZZx+PcX/NrPMgRaIQwgicG2PRQXIhlcgL+R5l8GQKlKh8TZO5lW4YcD9j+G7HXd4b7u4x+5gndyfeBlfy390HwNyOs2LKxeMtFl4ucIjJds7R93KT+T1yQVpiczWuXY6IMQVVVabnlaUKhBwWJrJMAkYmaR0l1+KjH/fdnC/IIk3CTfYyARH5fI3o+3/w3juoKF1jgw/cXG84Pz9nu9vy8uIliwenvPf4ff7iz/6M0O7oZoIzJHcV9vP5r/5xF2DM5AFhu4vkytD12CjM77KwXPcD0Xm6tkOleGmqHX15eYkQGyxXV1fMZjOKomAYeiRfjvzxv/hDjo8Pk7fAjmEQ+bSikNhLuryEqZzH4cHBIdvtlq7rWS6XPH/+YsSeVsdrdrsd1zfXt0DpLPOVtXJtYZlXFbPZjJubG4lFU/f7bDbj8vKSuq4xxlJVFV3Xs9vtMMaMGsdZymC73fK3//bf5vz8nOcvnovBnPPcXF1zXtd88N4HbNqGo6M1v/03f49Hb72Dj2CS3NTVxTn/7X/93zCvK+Z1TQyB9Wolo9B7isLKmAz7uZ2v6b71LK89GbTNz/W+Nfx1QPG0c+6ulIMdc5PbHU75mBYRX3duo1TO5L3vA3rzz8e8IxX17l7TXa3j/WvuPY17j28sKwFIIDmu6IzxQIzStlVSSZvy0I8DRifWrs0sEZ9AKKuxk0VZNDcjOkJQGqf8LRaQDAYJqBUB59ImFUSbSSrgUChDAApTUGRpipgW/KgYXBANUiUL59SgLhvc7DWOysQwkhY1a6WqHmIcdRGHIU50EAVUDiFQlCabEaeHTnI3FyQ/t2bqXGGdsJqA9PskUk+kLi2FFT1WH2FwWcvZoBUUhcE1G+KqGANJMa0ibSQlgx5QuiRXSLW2NE1D20qbRD2fQUwab0ZTaMNaz3nx5Esef/BtotYjY1kCoMzbUqChmM94/zvf5eGjt/jyl19gTMUPf/O3eevxe6Atfmh59snP+eLn/4aLZ0+42WzZbHe0TU/w8rnSXicJ6jgxg0++wZlF4siAfhwkfAkh0CPtTwKcS4vvP/l//j/4P33nO1JQiCnHSoBwVBBUDv4tv/17v8+f//P/lqF3bC9esjp9lJh0ahznvKaS8yYd951/Tu6NzkEgSMaux+RFa0VAFiBblURjcF2Hdz1G3W7dkgRLoUOWTGEMCK1WuCCa0LnYIM85VdJS4KOUlKKafkAVJYWKUo0HSTgmVboQQnovPZ6rUnv5iKk7+l39ngz6SzurHxdqSdqdjD2lBOw2mrIo9nqGk/uYGdDjxgLoGPAEojbMD09odhu2lxdji3wGwhJFKX1uGNlD0wU+KMSULfYin2GlBZTs1m7KUXNYoVFJDiQMPdurS3abDUPf4UOgmi9ZrA6Zrw7QVUU5X1CUM2w1p6znqRjiicNeZ5qhwTdXLB69hdtdj8yTDF7k57tPQiamfpkJzn59c66XUuNdYDO1XMoa4yWo7Vti1xCVphla0ciNirKsULbCVNWYIL1uzP+7dqh0L4P3PH36jLbv+f4PfziyDcd7MlkTZXsXYPCXn3zCbnNDlQAd0novLWwOawtsYXFFSVmVHCxXvDx7mQwsYmqDNATnKIqC01NpcSvKkq5pubi4IMaItTqxEBWVqSDpH0uHQcAWhYzvBH7IHiAnrlTW9U9cP7XXU8x7u0t7pSR2jF+HEHFOij3X1xvapkuF7MTk6S5pmoaXL1/Sti1Pnjzh4OBgZEVrrVit16h0L+uqol7M2Wy3uH6ACLasBRCLDluVvPvBB3z4gx/ws1/8lN/6zd8kRtjcXKPRIhOw27A+OGSxWrM8OGR9cszDR29RJBbZOMfSc+M1w1qprCEpc8ol+YLdbkfXicREXVXMZnUqUg8s7BzYdzLkIHRaVMu/884xBDHotaYQveQorK/MKsnrc9t1zFJSa63FVBXf/dGP6PqOrmlRVmK2aWfSX/X5qpTIIvhBCuEKKbKTvzMGg0pGgkKUiDHiBmH2Ki1Gf0NindmypGtbjBIviHImTE+lxRgrKsA7YlkzP3nI+dMvOD44hBSD+psr+l46s0w1I7TSWqyswaqC4BUkRuOYiPQDPZrTj37ExVef0794mk7fYMqagBRTcidRHhM5N4gRuq6nrIr0/URbVLC1sbCRgRNbSJdSLlJoYyiLUgol6dq7vhOTa6MxGQSN0v1TVBW2LOl72Xt0MrHLhaZXnpPWspem91bZQyuPUy1SV7P1ATcX5/TX1zAETF1jyjJ1YQSidwx9i2t23FxcgHeoGDBFidFJ97sW0HpwA1WRHO6VQlcLYirQxrSeu2EgDh3OdYRuS9b6FyRpkDgmKlQih6AMRT2jWB1gKjEWy3JN2XgLlTt1UqdYTISa9oKorsTkcH1EdXCM1xGTp2giXmQgi8mPxy/etPkcM9j9eiBB5kFMfyJxkEIKhIEIKrF3AyyWC+rFiu31NR//xb9mVho+ePddfO+JGgorUFwunmcQUEIrKRB5LzJAUoxNoGOSEDFGSw7t83PYP4gMct6VWJq2NEsxcX99+2JivgX7uDwCKsi1GSUs+1GmRN2WrsukKpdkcqZgb97DcgzfJ+m5/f69N88rJt0oU5B7f137x6b2Jz2J80PCEeRDxYRvfKLpNTmfUMBtdvIUaBbQT8grQjbbX3c+hwR948cO3zj5LIUpJH61MbfmqFv3MLmhy2ez7xLcn/Ft2blITPhCkA5oJ2IyLklIheBpm47Bia/IcrXmiy+/oNm1VPUclOGzTz/j8YPjXA6Qz416MgX+XYCH5ZjmhqkXgAijT0PXNuw2N1xfXqJClCKtETlTawVXUUrRNMLSvbi4AERWIpMEJWaNIrNWFDgX2Gw3rFarER/K+JNNfg1VVTMMEns3TctyuaJtO7quZxgcZVmy2zUEJz4dzjnquubq6orDw8NRJzf/iyGO4PVysUxxtuHs7Iyjo6MEYg8Mg2iC73aiQ35yckLXdbStsIvzZ/3pn/4pZVkyq+tUvIK6nlNXMy4vLjl+cIpHs16uJMbxcdxbnz55ilKK9XrN22+/zX/4H/2HPHj0iPl8TucDZVHStj1VUd0qFmVg9uueI3Br/uTfTY/7QNn8L8cf0+7xfOzlG+Jr3+u+85qe+5TlnH8/BbenBay7Ra6/DOyevtevcnwzWYlpQrL/kVQVgxfAF4gaSdZS1W0YBtzg0KYQiYMYcanNyVo7AjayCUZpN0yfpZOjcN4k+76X1kTF2GYco0dbTVnWI4CstEZHYftFRTLEGGjbToJSpMWeBNjmBTaEkFy11X6yDrKQhhDE3T1CWVbCjkGM96qFxXmPwuD9kDTQQhIl32uDDIPDGNnE8waXK0vR+0nwJBtR2zRj+5pCnL2tNbfAuhilu8EYKEpLXRtm9Qzt+vF1ud3HmFQDjhrKLKztsVbRNo24XXuHKu3IHlMIo2m3u2a7uWZ2dHqriTeSQMB83gpiNMxXB3z0o3WqMoOLmtDuePnFxzz9+Oe8/OJzbrYN21YS1aFzKGXwQZJ/YyzW6vFDMuijhMZBaarkhJ42Yi9jRlqpJPF3w4AfBv7sj/5Hvvz8Ez748Pu36FUxBnwYePHVU/7r/9c/5gc//D4/+uu/wwe/8dc4+/mf0+82xKFHFXNCCoDI1/tGBbsS6ExP924CLomBFmZNfk0CS6WNLC+SSIAHMo+DH5P6UbePfaCkImJ2AqNBitIajKac9EJPzY9ykpir/2hFWVX4qNFK5rVL5hXTSl1eQ0ICLLJm27iwTm5Anu+5TV6xB5QEEPbj9WiUdCRoYVXngC0kJoUk9UwAGzWCRamckX7p2F08A2C5mAvbMAWkMRU1FCRNN9HfF7B4f84qS3iQtOAyk0mLpjJ6DxYDIrnQtVydvaTZbFBKU9UzqtmcarHCVqIvbGcCCBfVDFPOUQr67TXR9wTfJT1MaZM8fPSYZnODNm3aNOV3+ZoJU82lbIwj7ebTEWmThni+HukOSC70rk+BkeiqCRs8EpXGGkm2tTYSsvkBZaWSX6/r/0kz5Nf5+Lrq8+uAtLGokP7m8uKCm+sbPvrBDyiqOiUc+U2msX8gElAxcHN5Qbfd4NuW6+1G9A+RVmQBHpOJTQILy7JkvV4TnJdioy3QKC6vrihsgVkuiT6wWCw4PTnh8uKSthWAuKoKlBFGgy2ENed8EH28Qtrdp9csSdtt5hBkfcXIvvtnH7DJa2wChD2g6dqBXdOw3TYCCIfIbtfSdR2bzZa2aWga0YPLQXrbthyfnmKtGZ2ZdeqAOFgf0LQNRwcH9IOjrCsW6yOq2YymueH3//7fA2X44z/6I1bzBc12S2EK1rMFpRXW8GK9pJ4vOH7wiLfee5+iqtIasy/IogVImD72feI7SZCVpqpqXFmxWC7ZbnYoJcYoXdfRdh0HB+tk9ifJR1kW43qci+J3izfDIJqYktDkzqc947dOWnxqMj5Ir3Ne5GVClI6uEKOsAQnIn7KU8+e9mUBxSurlS+5LrGPMv4xpm9gnAPIDjTIKFT0xKExRUlYVQ+sTaBQxyWNj6DqM1hRlCTEKW9VYillF8GK0qFHovmXoeo7f/pbEd76nb26S+ZC0IocYpbXdO3Cevu/I0hJFWYxMfB8DtqqZrU745fkfiiGoMpiiYrY+5uz5l8IE9JL8WG1TEVfW+qzZ572s2zm2Cqk7QSdQxaW1xxozrmm54BP7PsXtQtzQMcXxEVRREDWYdE/ya5VSFFol/WONNTZ11d3WFs0SJzm3AGSf1lmKJ+/vimqxoNnccP7VEw5OTlmcPsAXFSaRGLp2i2u29NuN5ADlTEzHqpqylg7LIss0KDV6BshQ2OsogviVeOdwzRY3tLiuJSRZvhgjAZGaslpjyhKtDdViSTFbYqsFTLrIpIg8AbBUxKRxqQgEP+C6lq5paHfXcsllia1m++t/ZWjvixzjfYNR4uBNOKYA4/5nt2PI8Vry/E63gyieF/V8yTAMrA9OKGZzCJqnXzxBE5MHT5Jt8FkXchjJJyBFkkCSBAmeshTmae6ccc7jg0/FDY9HYbR9Jdadst5ugQ9ZOzhm0EEM9fLviVLAihlYUIzGyhJDJGmDMAE1mbB4M/P5npZpmIC7aW/w3o0/38tdxdG3KB9TsCOmtUqkePx+HMtvbzGnJc7MrOKcO+znlkqEgwzc5XVmyg4eYw0la4G8XtaKYRj23cZ3xvrdr/fXM8mLkmFhNogNac1SShGVmG4rlUzwtIJoEoSbuqyKVAgMsubHlGL1fU/XtVhbJDkpUGrH6ekpX3zxJR9+9zvMlnP+o3/4v+PTn/6FkMQmc3hymn/lj1vFi0lcqU2WZgQfPDfX11ycX4i/wmJBu9uJtFaAXZdzI5Hm2u1EO/jm5kYM6BBcC8R0LvtfrFYrDutjykoA5MVikdi8CuEQCcliuVyOhX4hV+w71kGMDUOScAohcH5+zvHx8RibCdDcp2JrwTzF0l3XpwKxzNXnz1+I6WySeWmahvV6zdXV1RgTV1XFbicGzev1erx/8/mCq4tLTk6PJHdQ4pdwfXXDtz/6iKqqBccKkgE37Y5nX31F27ZcX19zenrKcrGQfNh5Cm3odjuMLW8ZtN13TPOi6Xo3JVvd/bv8vO92AkzfI38/fZ/pvJ6e011A9r5znUrQjN2X6bjLAJ5+fR+Ifd89yD/PLPZf9fhm4PA0mYSMCkLWswqiCRrHOEGJALLS8k8rCmuktcF7ZslpO7caZRARrTCFpUttVFM0XQJAfQsQKspipMeP7xOn4AT7VpWMtgPaZEbq7UVAFnoBHjITxruerAlMiPRdg7SxCiPSRGkZj9FQFIbB9WSmzhR8zgYcUoXpU0JmuL6+Gquime0UgoDoQ59bN6U1MP9dTG0Oe4kHhfcD0VtikrjIj4lxgcumXXvn8Xx4J61lXdeJTo2B6AIYhbaWsjDcXF1SH53cmjR3J1n+ec5UTW4rco5nX3zCs09+zpPPP+Xm6oZdO9D1bdrsEnOMPZNDpw3QJpCRdA+zZnJhDKGwqZ0mLbZRJoItpHLHvKLygWdffcUHH36PhMYRY6Rvtvzrf/Hf8tN/+YdcvHjGP/k3f0LfO37rb/wuLz7/hL4dGJod1tbExEAXFskeJH0TjjBGrK8et55bMr4IGLT2ArhHyIwFSeb8mGQlKr4AwH7fCpVBDBlrE9OSSXVMsZdouVsFS2dDNqK0aCqzD3CHIZk1xP0CeHcshqS7l+VhtL5diIIJyM9ek2/6O+lwUGgDzg/oqNFxr1uc55hszInprjL7Od9TneaBANq2qBMjB7nXShNUoJDTSGCpQge9d0M2t1sHc9BeFKW0+SKBizICDPsoxh4qgeu7zQ3b6ytsUbA8PKVeHWDLClOU2LJCl3PKxRJTzTFaWpSHriX4Ae86gnN41+PdgMHLWAgRg8W7gWHoUOwLbLk4kNvruhQoxTR2XGIiFkWBQmNsgdKWGIVZkltc0w2R51JUVLMaU80oyyq1tMfE/tdoW1EtDrHV/LXz4FZQ8Prp8mt5fB1APD1eqYQjck4vXrzg8fvv7QF5edP8R2OxLKRCkBt6vvjsUzZXVxhtaJtWkvvEWJu+PgceXdsy9D3aWgpbsN1uJZBdLOjaliaxiBeLxchKurq6om1bnj57xuAdJycnVHWJGwLWZkabAFGFtWku3w7O8v25G+DdTcZilE4SEDC37wa6rufmakuXZA+22x0vX5wBsNuJO3M20i2KggcPHuC8Z7VaYq1ltVqNjOcIzOZzZosZXT+wKAqOHz3gd//W7zNfLTl7+YwXT5/wi5/9HDc4Pnj3PXmP5VLYYEVBWVWsT095+Pgd5qsVkOe+GtcMuSA1go63Vk2Vx/k+4e/7jr5tubm+Ihe1yrJM7YnCEM9Bfr7WaUCcGSy5mK2UsMDyWu69h1QE32w24323SWKsyW7tSUOSKGPSO08/9FRVnZLiVxkZrxvXb8ohzyhO0Ppbv0GpEmjSd5owal0qKTwm09Xo02qoDbYSjV7XteBFN1tVJdoic1Mj3SshEPFEJ270wTlc37PbbtFlQWEt8+O38N2OoWnQyuG1geiJQw/RUxiNDw5bVQzbG7rOJbNfYdTN6go9W7N98SWxbVBK2lFtVYJRDF2PRuNSLD0gPhK+H8Zx65xn6AOmtiPYAklSIiWOo0Z9UCirMTrLSokZqzWJYatElsRWlbD7rcHYAm0LGb+R0TDKAtZmCRXpQjRWDLG11oTUBWhTTiN4aZLhUYzmWygBa62xLA+O2W1bNpsreqM4XR/R3FzD0LO7PKfbbFAoFutDqsWCsq4xZYUyRlhWCbiS2MiQF+fM5MtFVE3EFoGqFqNHN3SEbocfetzQE0lAgVKp4DvDljXa2CTllcZgQr4VmaEphBnJLyIoAanKRYUpa7bnzxmaLbZpKMslZNZjiqMyOeBWsTwdb94cvg1GToGDV46YxymI24kGZZivjwkh0A0DNhX866oWT4wo4E1MrftFUQsxKu7JVa7vExEiUlhDPa+o6nrvy6MYJRpCluYKqfA+OXe4zUgbQQNtQO19HoJn9CXRE137u4DKvrBAAow10eTYN69daty7xvglf7bK+5cajbQy4JOXSqUkJyzS3BWwZE/gkGuQvx+6IYG9galusE9FqRhiMsnc34uxYzgVMJSW8a/V3hRPKSFX5S6FqfFtRIgjSsvz23dD7EGhaYfi9PvpfbwL/sAeM9jHq/J7n7oWtFKjn8er0nOZaCLP0XuPsYZa1Xgf2W533FzfoJTs9doY/vTP/oyPfvxj5ssl3/vxj3nx7OkY00yqm9z1d/ireNyNIbXWI3NYp3HrfeDpkydsNzeCcfSO1WJNoQ2ffPopi8WC9ry9tV7kGGuxWND3/cjAdS5wfb1hNpOCujGG7qzj0cOHXFxcjK/LY1ApxcXFxVgwyZ1d+by32y2LxYLFciVsZaWZzRZEND6tK/3gadOcaa83WCvScG70BFDJJ8snnyrL2dkZ/94/+Af883/2z5jP5zRNM4LeGfBuW7nmbJB3+vABXdtycLAmRmFIR6X52c9+xhAjP/7t36GqZ5hktPvw4QN++pO/wAXPYjbnydOnfLRei8eAtZgoxKCQcJypDMPdeZCf5X250128apo73F3np8UC2LOE70pW3MIOYryFRU4lI6bnlItP0/eB21rEr0jz3AG8p58zPW6v94H7uqJed3wjcDgqEgNQJaOaXF0Ecu1KgY9BqvfaJGaRISipRioCPopZ1PQG5pvjg0cbMRPTWSx/Uu0cF75JUlpV1b2VgXxuznn63uF9HDejaatlXoTza73Pi3oWoc/yBiTJCQErcpKU5SGCC/jBp80oa43tN0it5bq7NHm01smAAqoyBa5KqPXWSvIUFGALVHBEAsZqysqOGmuySchmphWUhThpquixppLSZqq+OrfXNoLb7SghMTRMUWAQAJwQqGfz0bDGGoNrGiSINuNW8QoY8VqwOLK5vGB3dU3TtASlZKOLegyECqsTMCxGHLJxaXRkBJmtNVhrUKmaLEGR6LOGZOCi0jM+WM2pCoPTBevlQlq9oqPbbnj55Zd89hd/gum2vPfwkCp2nL085y/++T/l/Q/e5zu/9ds8+bM/o2u3zNaHMt6VJBGoHLC/+cd0kVLagLEUVUV0whSKGez0jugEQLXLNf3F2Tiug5KATMyJIioxvkXLM2tnK6YMtOBvBzN3q3VwuwUkz9VpdTT4V0XfcxX1bpA1Fr8n43JcVNkvuHlB9uzbpyOBu+y56XuJqZ5KzANF0LcX+XHtisJOiFaNRnCzxRLnemLXChNSm7GtcLwnk/uS9VJzMgCyVo6pmJLCSgjJvNMPNLsNtixYnTxicXBCMVuibUlRSsKnyyoZnyiGdotKbtnD0EMYRqPCvmsIQysAfT+gopIWZ+8gCEPbBzFTSSeLLgoxqKoqabFVitQALGNCG3ySk4lB4/wgberVXEx3rAGzB5DRBdpojE8MLwVRa2yxoFwcMjUDvfusps/vTZ27d4Ofuz+ffp0B+ZcvnrNcLlmu1sL6mV59jPuboeR753p+8bOfcnF2hgqOpuvY7Vqur66oSmE5bLdbbCF7UZX0yqy1DE7Aoxxstm0jrW5FISxbZE+uypJZVTOfz9ntdmy2N/R9L0FvYVgsISox/nDe52gDOwnEQhA5Cp+kS4ySQtTIHt5nNmn9yHt8pGl2bDc72nbg5mbLdrPh4uKcm5stMUpSabRhtVwmwGpfdFRKU89n+OApZzWL+VzkM4qCSOTFy5e89fbbmFnNX/u9v8HRWw8TE9Pwf/nP/jP+l3/w91nN5pjkMl3PZsyXCw4ODzk6PqWeL1HWCO4S854mBpZjzeQ142D6WHNXhDUW593YcjrqeqeW2bzmZcA3d17ktbPv+xHonSa9MQR8+tvdrh1/nvWLMwN4vV6PhjvyOZ4SaYHu247CCMM85mT0njH9lwX7v57Hfh7e/bniLtkiPc/MFkshdpZjkDV20umS5pgLUihVSoEumdUzFOAGP94zN0grOjFQVBX++prCFCxWBwTXU1hLA7LHa40uZjgfiW4YC3U+Bur1EUUv6302VZrN5pTGsDt/QlGKv4cyhsPjU54+fYY2Ohla+RHU2LNx90nZMAhjXam9Nq3RRsaqj1itaXuHXsyJcQ/UKJW0Ha2FzOjVhvnBEfVshki8RZHJCA7t3ZgsgcKmextjQNvAEJqxABuzHEUyFds/R/VKTBFVJKhIsVrxzne/R7+5YXN9yVc/+VPm6wN2V5cYIrP5UuLsqqaYLyhnCwHKVAKFJ0m+0naC3+ZOkD1go5SBmPwQbEGo5mhEuzrgcjUBZcoE6EusrbURQEvlaxFSgJ6MSa2jVCSIoFKnji2wVU3ftuAGtL4/hVS5MsXIEdkDgq9Zr34dj7unepep9ro1SI05sSIoS2Tgk49/xg9/4zfRpmSxWmCNgQRc9q5nvV6nfcdjEN8Nh+h0RxUpyoK6Fp1Qdac4GhOYHImpi+/+c5tKJOTzD8FLbp5yWaUMKsjeGVOuG1UiHsBYELwl+TDSwYRgkvfZzJ4NYcLAVCJLJ58vMhIZbJGioxRmrC3G+Hf6mZAkIlMu6/N8llueOnYdIfgko+QSGWsYzSxjCKMsVJW6gouiwFoxmdsbV6vkeSRxd9Z+ld+H5C0gRAyt93vU9NlM8QufNIXvgjtyb6adnelnUXCXEGIikkhHhilrmZNJY975QN/tCD7nW9IxYJPMVgbfs29TURT88rPPmM0XzBYr3n3/A370wx+kjiRompaiKFPMkU8pS/m9OfP3dcfrY6Z9TJVJejGmnFApfHCpcOPom4ZPPvlYcj+lGYCubblpO46Ojnh5dcm7777Ldrsdc9Ku6zDGcHFxQVEUo1avMYa6FukxiGw2wi5+8eIlRWk5OBDt4OADs/mci4tLHjx4QN9LrtR1PW5wrA/WXF9dMZ8vuL6+kU4jY0dQdnCOxWKRSIsS1x2dnhLCBbvdLsn8OZqmSQQcN55j13UcHBzw//6v/isA6lq6D09OTmhbIf+UZUkIYTS+y/ngj378Y549f0bbddIZWNUoa/k3P/kpz84v+Rt/8/d49NZbDF3Pp599yuAG/tpf/23WB2sODg+4uDxnPl9Qei/5clREv8+vX/eM7+KFd+fl3cNOcMkp+JvXn2leNfUimx7TwtWU+ZvX3SwfcR87fa8lrm69z93c7j5g+L5xnL/O+8r/32QlJFbNFex0IyLCBkvVM20MhkjQiXGqNZgCXcyoK0PcXCXdyduM3ZygWK2TW7C4JwsYaJPraQZylDibF1ba50ht2GFf6ckP2Dk/irSL67NKmkwekIRrCgghVwJKNEV9MqeQdjNh+ua2kbzQ7pOwIKZJLoiBRD+A8ugA1prRxTGGSNe1gEpdlCppkkoQppVOX4uJV/A9VVlSVZbSKoyW65LLSedsNLYQVlVu3Q8xjDpqcWK0lU15MiPLWrlXuf1eWhQdJhqGrkFZiylLTICr8xe85RwUU3p6jpDDOE6A/eZGwh+UYb5co21BXc1wbsditWJzdZmSfCkoVGWBAorCSutUlIq5DG4x39IqsqirBAJrafeIicWUPjcbeswqSxc0F199wdPliu3VBc8//4TY7pjVFlMavIXZco6+vKC7fsmf/LN/wt/+X//HlEfHiT2uEvvnNk3rjdkmv2bxgGninfEUocr4wRGGgeB7fAIFAbpmK+1biWWfC0NjpTkDf8aidZ4rRgJiRdLSZQwi8zncXQhVQkKcG8bkaQr65hOOSUokA6pKkaQN9u+T30s+I92HkJLWkIPP9JoYx/ZV7z0xsZaEcS+cXJ1AqBjBe4fCjEm70jbfQlTcB+VVLvQksEehcLstUUUwFh8jKohshAQh6TzTw9Fap1aymHBgtZeV2FdrMFalxC3iBocfPFW9YL4+olodUM5W6KIWvadCWk6d6wlDh2sb0Rj2A25o6XYbXNviXI/3A24Y5DkCSluKqiBGO977QimUloTdlhXKltj0OSRdxf35M+qD55a+PdBh9s9cp1KMVomElxjqWgvIXS/QdkZMLKf9KvTqGH8Tj2lQ8trfj88/3dcopn59v2MYWr793e9jbEned14pbaWEMkTPi+fPePnkCSYEht7TbHfstlsIgRfPnuG8H03HImJaUc9qjDEslyuMNpRVQbPbjtrcZy9fsF6tWCxq0RX0EkwulsJA2Gzm3NyIUdb52TlKGQpT4l0k2IhWHufEnG7vyp4Lm6lQa/R4/bkIKvNdEZUkqlppog9srjbsdi1t23F1ecHTp8/YNS2zFKSXpbBoVWrDG9xANZOAeL5YCKvfGB49esjN5pp5ZanrCuc8D05+yK4fePv99zl99PYIBf6rP/xjNIr1csVyviBUBcenD3j78WPmixUk47CRzxSY7KcQUsvsNOC971BqWgzJTafinK5CBh4jhbVJP0+AfDv5firtkD9rb9i7D4Kzo/yDB6e8fPECpURqKDNaALquk7bWxCzPLJiXz59R1hW2tCMB8dVreRWMuS8g/nU99rDJdBu+r7CjMGUpY9T3xIkpM4iZVQzStYGPiRWMxGteOi4MBqEHgLF5nGgxKFUqmX8WHCtLDDIebDVDIWaQfTMQ0JTzOc2uTYCQrNWFtSyOT7h58YLklkUIgWp5SIwe1beUVYU2lvn6AJSi2dxgTcFmaBK4UtAn0Cbv91obnHf0g6NyPnXLpL2NbBLtMQhYNUSwQQw2lRZWsNGasq4JWjObz6nnC4rZUvbitE8GJYVHfC8azZ7Umo9IzYjDDTpC1+xAGwFLnUOFcGt/zXtPTB1vucAcYsQgbEe9OsDYkr7Z0fcthdXM5wtsPUts4ZqIJiojoLlOZrR631ElXQPI/v6aaDN3KSkiWgtQZ4yY75HW+QjjWFBW8jSmRVQ1ZTdOA1wFSc5A/syiqxnKxzvt++OKNX73utl5N8b7dT4E1Axo9ZfI3CjIBR+58pS8h2SAmH7vncgrztZLsAZDoCgtLgSKlONaJV1oJhmpSyikxQ+mLkeC0pTco1FgjGhDeyfAPrI25OJCjhfHwkPaQ6wVLfzpc8kdqbkLbBp/THNsmaMQJoy98dFOAOq7QGj+vh86hqQxLNeiEkg7BWlI8gjiwSFygVLEHNyAC2lfGgaGwdF3A33fieaq96go0nIh5b6w9x9QSomXQSq0mZRH74sAYnBfp+K3TuzGoiyl67c0dN6jo6aEpAd+m5yS98ipnMf02U2/j1EhPfbZv0PTRc3Bw4ecPHzIbLEWT5FxPMaUd+e2/562aTh7ecbli+fQdogkYO6sle5P13eUtqTpOqIxPP/kE/p2x+P33qNtWq7PX/DO+98GZdiLKf5lM/uv3iHjXMa0MUZyMwLXVxuefPEFdVnx+OFbfPyTn6JClCLP4SEXFxesViuePn0qMqgJP5rNZmy3YrI9n88py5Ku60YJr6urqxEkvr6+xhhDmbTxh2GQfHHwrFcHaGVo+07wplSQv7q8BhTbzQ6igL9t24qpaSJb3tzcsNvtxvFXz+d8+eWXHB4ecnZ2NoLNm81u7PqKMbLb7VgsFqxWa5wbRqJWURTMZrMRDF4sFrRti7GCz7ngObs4Z31wAEju3ycSwmw+5+HDh9S15ATKGg6PDvnxb/wGSkFVlwQ8Wlc0XUs1n4k0a1EKdjaJg6drEvDKf/PxdcSC2/rlr3YzT4uD0/fJxZ4pqDv97On6eReg3QPHUtjKnQlTFvH03Kbved913EfO/Dr5jdcd38yQDsbNT+WKc4woI60o0lqh0WiCUsL2MpYQHKeP3mJ9eMBnf/ZHUp2MJNMxgZxHOniMSbsyu3Am/dKU1OWW19msloWYlOzFJEUwYdXliQ2pUqh1Slryg+WVhwgZVEX6f8Le5byqqpFB45xLG4BObe4DdT1Lm45h8MLyVSgx2jFSkQxeFnAZdHFcboPSBAJhcGK2oYU1YUoj50DEDwPVepFuizyHJHCAVtk1UXSRUYqgBCCKE23iXCkOXl4fJgCasRYVRZvIeUcEqkphVd4shYGC9yjLRM5CQFNRnBZNVJVa+l2SIhBQq+Thux9wffacbrcTNpgy9LuCfpDFRmEIqX3YWiugkhbgyySgWMUMxAv4a22RtJ8KYnaZTmBBWZagAjNl8Ncv+fxP/3sKa1hVhmgrFHutrLIQ4GroekJzxWd/8ad88KPfpLnZ7CdBzMl2+vabTKB/i8frEotbTMr8dfB454iDuFzHEKQtNUnHCJOnEZ3xkKr0yTwsB4uRXKGTRSkzzmS6SaITCAmwke+m55AZ4UMaF33vWCyXDEOXuhbUrfltxvmcAuEEgKgQiXraCpYCTKGsj0UdYpisGZPFVYlcQza4y39vtHREZB0lBYlFJ9rfsNdPjnEfFOoEjHofMCqDo3oMxMm4r1IURYnru1c2obQrprVRp3s81UMCYYKkdUIpfISiXlAfHGHnK0xREfUeZBv6ljC0uL4jDD2h73Htlm53Q9dshHlVFJT1jPn6RMyOykrYvEluJY5mGXJ+WS9OKdFFjpC0hRnB4bF9Mc+kkc0kP4XklaxSC++Y6ZAftKRiRT2C829OxeabH6/b4KUoMwne87pM5PrykrIqR2Yd5HUrJbM5CUvvNQw9n/3iY/quRbtIs224OD/n+vp6rGx/+eWXeCddAmVZMlvMqeua+XKJdwFrC4rCUs8q+rajntW8/egtXp69YON7Dg8PoDAMfUBpxm4QkLY05xzbzZZZPafsi6SjJ2N7VteE4MexlpNKIK0NjD+XuSN7f/Bpz42Ktutouo7rzQ2Xl1c8ffqUZid6fMZa1gcHLBaLMaGzhU2Am0EbI4z7NFaVhuVyQVkVHBwc0nQ9Rhk+ePSIh4/fBS16jSpGvvfd77O5uODw5IT14SEPHr/Dar0GpKB0B5rJV5LksF4NGOEeoAL266wS5R+bdIGHpD/XdWJImTXiDtL1DsOwZ03e+Tdtc81FZp+0g4mR8/Mzur5DG01hC1rXcnx8wm7X0HXXybA3Jc+J2fTlLz7h6MEJD99+nPJcYWD+ZYHsm1PoyaDePW2N6Z9SShLwsqY+fIgferqLpxCHsXC53/NIXV3CIgaIqeBKCBj2jD5S4aYoBRBW2qKVpmt2+BiZF5abywuOHh9DDCwfvEVb19w8e0pz9hwzm7HdOELXMJvNUM5z9fwpygdc10uRN0S6myuckl6y+WINyyVlVfPsFz/Hao02FlvOCG4QFpxPrZJW5NV8CEQ0zkfa3jOrJVbQiDSUc0FaXQFTWCye+XwmxdtyzmK5Fv382QxlLUVZY8sijUuSxwiILkc22VVEAl3fUdczMMLiGroGXXmKEKW933t86uIhrzMR2ddMSTSFmNwBKgZ0aqcnGjF7M5ZqvhQfD5R4qOQuSG2IiLxbAAG6jfws3hknMpSmY16Ne77KW2aMEHPHYpz85b5LRxlLVDrtk3nNTMAUjOvMdPSOxcTk42HqFQdHb+Oaba5C5pEM6Ak6eLuguScO8MpceFOO1wIO6b/x1nfcAnGXyxWbmxuOqhllVaO0oWk33NxsMEYKPFmeQBj0KcfTCmul2Kr13lwZboOvuYi03wtvd9nl85kCFbKe3ynAJR+MQI6lUnw72WduASwp/p2ek54WHhLTdNpxkruF+wSaStHTjIbvt9h7STJQun3aZKYq+rneS8wdQmBwA30n0lBN08ra4vx4LhkQBslxM6CTZRpzjjBlF4pJpmiBCtPTjJ0+ZVVSz2ecvvUWN1dXqNLglcckIPBup/NU9zgXTqfPJsRI9E7i9uBpmgZfzPjOj3+bg5OHE2KIHnMd6ZBKsnVVgS4rqsWK9ckDwnc+Iriep198wZPPf0nXNgxtR3A9u5stm5sb2n5gu9lycnzMtz78UDrCrq+EyZpkP1V8dYT/VT/2BKT92hWCB+/pu5ZPPv6Yf/Pnf86sKrl8cTaOHeccNzc31LMZZ5fnrFYrdrsdsO+emur9ZrkG7z273Y7ZbCZSMi5328rYe/rkOcfHR2x3O0DTdR3Pn0s34Pvvv89XX33F9fU18/mc6+trPvroI7788ssR1JWunPIWY3W5XPLs2TNCCCyXS3a7XSJA1oCMz7ZtE6gcsbbAOU/bbqnriraVTrHtdjvet2WSRwP43g9+wE9/8hMevPUWu7YlKsWu2fHg4UORvlIyxn7nb/4NQKGMwpqS3/nbf4tPP/6Y3eaG9XqJLizd0CN+VGKAKrISe1mn6bp0l0xwV3Lh3jUsHfdJ0U2/nhZ3pu+RSax3j7uFtLsyFHkdzGtixgHuI39kTempOeb0eu675mk3dmYs/6rHNwKHdQQ9SSIh6d5Endx6DUoZQhhQJEau1ZgA22df0jx/Rq0LASe1uLcqJYMuD9ouuSNro6jLkr7r02aTqnhajQY1o7aREjfOzBwet+jxBktFIzNqiVAYS4ipNQQ/SklIJVVQfEaNDnVLnzdXSPKAiCngnD5Qq/dgRkQ0RcSUw2P0tHqbqr7WslgsuHrxEhDnaq1l0RfQW9pWyrJMLSI5EU6JllEUVuE8YAuCqVBVhXKy2fgggYO0lplU9U8aSylABQguMAw90bkE12l0WY4gfFHY1MI+OaJUL1Wi+jvXsrm+4Or8BbvNDcGLY+b66AGro2Pe/fAjARu1Znt9yWwm79+3LV4FVLBYpXD9gKmkXc5aI+zBBDxrIkVZUpQFhS3k/hhNVCrpz5VjNThmEC49fKVFd8e7KKzY4EewQWvRsrMq0p4948nHNW9/+yPyqzP7YhxIb0iSmkPG8JqFLweiIXiCG+S6XE/0LjGW4ggaBB9EX9j7EdSPYX8vpkkA7JPVrCWW/kjOwQtTyJhXF3VIBacQKMoCNwyJ8a/HgHaqR54LNdPAEhjnam6ZvpWsxIh3w8iMyT+fLqq3Nh6tBRyetIjkoDMHtUopdJSxpXPinq8rVVozsAKk9WAf4OciWWZL759PupfGjsH62BmQEkBj7QjMo5I8S7GX9BhNLEPA6CjPmkgcepGL6Ft83+Gaht3NJX3XUpUlaj6nXqwoq5mY0OTz0vvrG2PImBLSaTKtjSSYKm2sCdCO+6Egb2N0SjZSq+v4hq+ZZyqgjAWVder2CUquxue09esqxr/ux33V4Ffny62sfsSId7stD95+W/4+/fw2Cnl7Tbg4O6drWgyKvmvp+350Vr64uBAQeD6XcR+kc6PZNrRtz27XcmEuhL1XV6zXa4rCEoKAQqcnJ1xdX/D8+QsePnjEarUcPyNf083NDW3bcnNzQ2FL6rpKe54kzdP7kDUDp5pfMUpnTYwkhqqsMZmBGIJINp2fX/Lll1+y2WyJITJfLFkuF8zmc+bzOavlCpWMMEMCmDOYN18sKK3Bx8BsIQwQtIKiYFbNWCyXvP3e+5T1jIDIUeEDj956xLe+8yGPP/yQk4cP9wzBhPBMi3h5v8prw33P/VcdO9lMyBpDj9yXi/PzdK8kNslsXiYA8N3PzOtb1qTT6V83DClWMbhB5AOsKdjcXCWTPzDaUtgSa0uClyA/F17feec9MtL+uut7U+fu6w+ZjPl6q/kSZUtMlIJXNlcKSZopRg8hECfA8Lg/qUBMLdxoDcYIS1ypBDp4jDLJ+iMSXcfLr84oVweYsubo7W+LNI9zVIs5rm3wQ8fhwQFDV+33OWsJww6lNYMb0t7q6HrH8uiYPsDxw7c4++QTfC/AT1FXrIuS6yvZT2xRMCQDOdgnM8456ag7WDOfFQl83rdgWmspqpJyVkvX4GLN0YNHFPUMqwu5n4WML7TBhUhZlLi+JYQe+lb09K3ImaAUygfQNoHnBltUeK1kX9ttpTuvLG8ZqXofMOUe9Jc5mvQodU4WPagUl1iNVZWAPhFIXhr7wm7uIMzt47dzrFfX/lfnpxwRcgcF+yU+e8CM//LY2b9qAui+eoQgvhIxBoIbaG5uGOot1XI96t6+7n3uK1y9SUeO9+9be+5NzmOOvW6vnTEIoenq+pqj04copXn3W9/mX/3Lf0EzOBZW2smHviOPJ4knJactywI9El/SM4yTmFQ+Kb02oDGpwzKvD0lzUu/B+xEwSLWPPdi7zxNynK0mUgJT5tttcDqijcE7P/n9/fc17zuk3Fjy7iljdx/DhRBodh2bzY6Li0vapqXrevwkZhddVOkC2jVNOkfxp1mtVmilpGCUchZbFDRtI9rkCSjO92Ta7q21vAdKiaGulWdR1TPKsmC2mNN0juVyycurc2Z1OfoiyfXIM8nXNs1PgHFtu62VinRm9QMPH3/I+uSUEBVx8Ci1LwDI/4scjMzrmPZueRNdFASlef+7P+Ddb3/E2fPn/NF//8+5uj6n3W559vw5tig5rE95/K0P+c3f+1uCpbQdD95+axwr017x+0Crv4pHJjbtv1Zsrm/YXp5zeXnOl198znIxF7Z/10nXtbWUdcV2s2W+WjJfLEYmcNd1zJP0mLXihZTlULuuYzabUZYlMUaur69H74fM0H3vvfeSKd1eCiz//S9+8Ysx/r26umK73fLxxx+z2+2o63nqdi2YzeY8f/6c4+NjttstFxeXaG05P79IwGZks9lweLj3pco5c1XVbLdbPvzwQz777NPx/HOOdXl5yd/7e3+PX/7yl1xeXmKt5Zeffsp8seD84pyjoyO6vucHP/oRv/nX/zpN03B+foHK0jFaSxE86Qp//0c/ZOgannz5JbP5nM3NBmsk5qhnMyEdxtsx6RRUvS9fmhbF7v4sH9MCVv5vjnfvrvd314q8Vt3N2afgcP46E06LotjvkUpPyC2v7i8Z8M2yNPm/d685v+YusSNrtf+qxzc2pEMJWzjd5pElqLXG1jPU9Qaiktg1teBbo4g4oop4GwlONjZrDTGKqZtS2dQkJg0gWZKKrCmbUPW6rtKmCRgjekPkyqG7pdeVKx5Kqb2jdhBrLm0MmJLrywtUHMQcL20mMTkdTwdEHiQjkyidF+yNqXJ7pbiqx1FvNbd9h7ShRy/mIIXJ2rmaoWm5vH7KoiiwWhFQFFVFGIbESvRUdZ0GSRyBcAFsDWUlxhs9mgeP36XbteiiksopSEXCJQApXWOISloQA0lHUeEJ0krsHLtdgykKFsZgtEWrCKpIUWVMRiFybt12w/XZGVcvX7DZXLO9viK6jqF3WCutBsPNFZdnS9bHJxy/9bYsctGDT5rB0TF0nbSNFyXBebzxxCJpySmFMeLEWxiDLgxVlSq6ifGlc6uhsXtzD/YV/Qy8MXRJSzmMleuQzMuqqhBDJaPxuxuGdkdcHsrr1fhm8v03mkD/9o44uQtwF2AQFg0RXN/gvcNYQ3B9+rc3I4uZ3RoENBaWeFrIUlCSg4kctI4LYgIDM6NHihIxgXqpffIOUGW0lqR3NJGQSn5ehDPwK9cEo75gYcQN3EiRIYNPxqTEUE+fnYRZPmmdReIIFhsjrNec9OWUKutn1rMFBE80FqctpZHuhjzXdRQN9WlxKm/uLoh2mo6p6Twv5ImBNIKa3B3Dwrg1SU+MmNpFlREDwcRKAklyq3rJfLmm73r6nZgrqoUZ9cmi6yWBdj39bkuzuREGsRuoFwtmqwOquWgUg7lVHMpMfZgAW1qe7d5sMJA7QdTI4hbm9e2xuE9O5FblYsLk/QUVH4PgGMHYipgcnqeP9BbL8g0GhqfHfYH5/YmrjLO2bfAhUFZVSt4RDO51WDuKm8srZlWN9w3b5E48dD0vnj+nsAWFsczWtbRZRkXTtRRlyWa7Zbvbsttt2G5vMMbQbHecnJ5idYEzjvPzCw4Ol5yenvDZp5+zWnlOT47Z7XZjoJWDoLbpaJuGru2oK2H3jHImY6BFmjd7SRjZp+XZ9/2QcbSRuXN1ec319VbmnrE8f/GSBw8ecHBwwMHhAcvVijLpwRljMHWZmBMWlxgYs/mM2bwW8Kiw1PM568MD5qs1s8Vy37atRceTIGZg//qP/xUvXr7kuz/6sTCK2ad5k8dz64nsi937ZHv69dcdI2Cex0mKhYAxMM1O2ufn55JIFGYE5XIha9oSO2Wf5LXXGiOAfMhgCKOxiaxVlhBSbOeTRvF2w7Nnz3j0zuNkfqUJE5ba9Dnf9/WbkqTeeqYqV23khxl0kX1LQOGhb/fmzqllGGIqpKYOnQQq5zVxvybniHySoKTEY+ySQbqvbAh0L57S1TXd8oBydZQMSkui7wldCxjKqpbYVhccPXqL8y8+k64XrYU9tz7ABlicPKCcr1BYVkfH6DCgzs7pnWdwQTphhmEETKamLtPi7fX1NZE587oek1RtDLaqWK6XVMsVi3c+4uidD6iqmui9GEZ7B7rA2JKiqpklgkrtBrqbc1y8JOiB0lqC62EHaI8yhqIqZS7bNLeMhWhwzUbiHqSPJQTR0x+Lr0S0teMOJXlKTHvYXsJKJR8NEpgXyXujPN1JmW/yFPd7avq422N+um0KIkQukOY4dfwv8dZnyNvcTq7HcRmZ/D7FyOnb0De4bostCorZUmScJsSA+49bJwq82lr7phxfF0PEV7RYw63XdF3Pw4cP5ZlqxcHpA37/H/z7GDS/+PM/Z3t5AZAASZO+TmZEaaBI50ucYs8SP072PaV8yjOlYJQi2nHs3Na6zM9hD0DcOtJGc3fdHb8nxWH5ikdm2h4ImTLm8v3o+z7tMWGUE5wybfP7hxC4vLzk5Ytzrq+3XF3ejIXqvA9N75UxluVyhbWWqqoI3rNcLbHGjtrt2+1WAOkr0eJl4sEj3iF2ImO3z/9bunEemcIKA7Qs2bWiV27wrFdz1uv1CPZZqykmoPeUeJLvxZTZKLJYcp6XF5d89ex/ZNP0HKzXfPXZZ9KRlVjlhbUs1yuq2Qxb1ZRlJb4e1qKtyPnZ1H2HtRw/eos/+A/+A/7kX/4P/KP/23/Bk5fP+a3f+m2+/dH3+J2/+3c5fviILz//hMJa1gdHjIXaaeD4V+C4l2Ax/mxfgNNGp3gmQnQ022uePPmCZruj0AoX4Ob6GpU6Se18xna74cHDU3yIzOdzINK0LShoU5wcgufg4ICmbaXgWZY0u2Zcc/P8bBrxoLm8vOKrr56yXC6THnA7MoFns3mKswS7aNuOg4ND8QOxBTc3G05Ojnn58mWSr5CuPulU8AxDy2w2TyzgOH7GdrujrusRwM4d/l988bnME++h68YY+fHjx/zhH/4hi8WCk5OTPXkKWK3XtP3Ag0cP+Rt/++9gypLl4THHj94WTXNJ6HFuQJcig9O1DS+eP+Xm5gafsC/nArYoks73ZNFhutfuwde7IO5Uw/fuOJiOhymwmjG9u4DvXfD5PmB2euQYJxNL776HUqIUEO7sGXn9z2volLGcAeYpLpmPW6aZk3tizR1i59cc3wwcJschisyqDTEmZqZmdfyQ7up6BJrCVowstDGE1BtcWIvTAuq6VGG0Vo8UdWB0NWZSIVcKytKOFbj9TU1axabAmjIN+GHSwugxRjaBspIKTgiBoBWLgyPMbkOpRR5CayWOiCkhGq95gtbnGz+94flh5WrvyAhMwFUEyrISsDgEojGUlc13UyozVlMuFtJ1HYJoLXphH4QYKEvDcllLG40TLSKjBRguCkVZWUxdUrY9yvUUsSc4g1dQpn1ZKkGZ1q5RShg8KDExMIUi4lFe07eOwXnWthQzgggemK+PwFgJaCP4oeXpF5/y7PPP2Zyf0V5fcX19Q9f2oASoqquSm6pgPq9ZHh7SN1sW6zWLo0O8c/S9Y+h7fCyTHqSndwOFteB66KT1uCgKNBprLKYw2Mpik/5TUdikbytVMsYquyTGWqnUZpWe5YhAJcOFAN1OjEjK2lJYDdGn+2vH4DtE8RVWOTt/U/CmqQP6JCm4xTiMkWZzTvADqo8CFHdJZziD6iEwuE7AU7dnuUoakT4q39pJcDhlLU4XcshVuulCebvKlwOoHDSPukBjQCXtaG4QFiwkLUEVaZuGYZAktCxLVJpvBAnQjbUwOLKzxDCIdqMstoxMX4Ww0r33WL0vCHnXo6InqJrZ+oD+6hyjYwJDhKkRkm55/uy8bpiko+29aJXnhJMo2qLVckm33WGQdtB8c2NA9NyVTslfTAYlCXQls5ok7jW2ZHFwzNmzZ5TXN2hj8VHciwle5F+6Djd0NFfn9F2LMZb5cslsfYipZyhT7N8/FV0UiHRNYmGJq7mcYwYtXqngqix/sGdhjmHZrfgsWauo/T4wTjadXxeJymBsla55Gi3cD6S+icd0ruTjbvsT3AEAonTbGGPSWpjmVlZrSn92F2R0fc/m8grX9biuI/hA13ZcX19jjWU2m3FycsJyuSRGaYCOUVzAHz46Zbfb8eLFC54+e0bTdNLi2e549Ogtql3JajUnXnree+8x773/Hl9+8ZQHp6fMZrNx3+77XkDZNMfKZGLYNA1Hx4fjue5BjRz07e/L3nQ1M5RkfjdNK10jiZnjnOf09JS27Tg8PhqTurIssLZgvpijEjDd7BpmizmL+Vxa/mzBerni4PiYg5NjYfQnDdKQHoSS7ZUYg5htfPwJm82Gg+UhKndApKKjYAtBoL1pUeRW4Hk/cPq6I+9TJul3Z+DVGEOV2ht3ux1FIS2Pi8VCEl2zj4FyAjBN8u/+V+RGcgHdQtIj7boerU1KNOpRU00bwxB6isJycnLM4BxVBjKJr1zbnsml750Pv65HVntWt34mzzopzEoxEU/fbrFlTb+5ApWMlkIETALoFEEXAij7YQQa5Rno23ExpLEo+5wikSakKovSBlWUxLbl5vyM+uQcypq+H9hud8wKS7SJ8R+jJGVtw+WXnyJRouiAGluwOjqFek29PkVXc1SIYpgUAlcX5wxDh1IF8/mC4ByD60RLMERMMLfAkaIoaNqOwXma2cByUTOb15iyoK5rzHzF6vFHPHz/I/qu4+bsGSp4tC2p5guiNlLI9YMUM5VG25r54UO2IaDaDZvtRsbjYk10vZhn2wIVIiEoggIVA9XcQAj4sMWk2EdraW3VPmK1geiJiNE0JO8TeQjiNUBiFIcEGCukELKvFuwB5Dz2E1yslRLdfS0eKdNYLaq9VMRY+FcKjMXWNToZ1eWEMjpxpVcqjhrMMp/3YAgjyJgK/kHGpU6fFZynbxtMYSnqmqIsRcIOvd9vJ+sTTNboCasijrPiTThy3LL/8t6/Gp9NRKkwAetTN2sArUwCG0CIEQXWFMQQWB2dcHN5hTUlveuTtqnM4Ri9jCMvDGQ1eWRGqyTDI/dVW0OpZ6n7L0vwqVsGdtP9Q4/rB+PP7gVNxnPJa4vkQnlhU1H2sRCDxMrcH39FoO+6sdsu7/O3NXr9CMycnZ3x8vk5Z2cXtE1HjIx7UZmMcUXeSYl8jhGZiKqqKcuCrusobTFq6SutWSwWNE2DtZbtZkPfdmNXr2zBydcgFW9lfTAjsLPdbemajqvrG6y1bDZbnPOslgt2zYpt4yiMZbVasZzX1FXJbB6pZ6WkUFoKfioVTTND8/Z90tSzOReXL/lH//l/zvrggEcPHzJfzoQFXRRopXnxldqvPcZQJM33ejZntliyPDjk8PQEW5ZoA8V8xl/7vb/F559+wtOvnvLeBx/wN//O3+Hd99/Du46f/Zt/w+/87t9EpwLyfuz/1QGHp0ce6ZI1pTgSIeeFlKsaDSoE6tLgXY9WgcJqvAtoDafHD/jqyy+pypL1asnFxTnL5ZLN9obBDdjCoHSNUprLqysxae47QojsdluUUrhhSHIMkePjY548ecLJyQm73VbOLOQ8SHNzs0kxmeX58xccHBxwdnZGXddsNhtAtIbrMb4TvX8xGSx4+vTZKItaVTVN0xJjoK5rdrsdVVVxeHjI9fX1uB7k2Nx7T1mV2Bhx/QDsiVqPHj1CJCB7lssl1hjqxZzWO2arFX/w7/8DisUSlOBQysi+JsKGAVMYBj/QNDt+8fOfURVagPZBNMTLei6EM2MhxUN3QVF4fQFvCuzuyaN3OrAmr58Wbqbs/rvyOPm9pu9z31oLjNITd6WB7v7Lx336xPk1SqmRpDpda6fY5BTH3CM/v9rxjcDhZMskTJgxKNm3MSyWB1zPF/Suo7QGt0snpRXKg7Y66VtJ+6H3fWK/Kkor5m9VUeJDSKZvNgXAiqKoKDLrT9C+/cOWj5dEMD2oLAPhvRvbSft+MzqW9n3P0A5YhYAeisRg3rdM5hsNeyQ+v29mLU7Bq9lcwNaisEnTaB+sezfgByfAZqqS5t/lwSXaZhFbWNnwQsSnitByucQYI4lzWRGduLhjIrbQaAXB9Vjl8NeX2Jm4pitrCJ0TZq7KVWD5OibRewXCBo9RjEGctMOfHJ9wdHRCWVkChuXRMQ/e+RYoCyGwvXzJk09/xsXTJ1xdXHL+8gW77Yam6RGdVRnMfVVQlhbX93RtT3W1IT56xOroiKMHD+gGx+Ad/jriUPicJMdA8DD04N2W+XwmLGIFJrUGFtYmExRZOE3SgVYpccrJcETA7Zx/hphMyILH9z0319fc3FzjnGN9uMYYMXSxZUlRzdNIl1YTCcXjN59t/5aP18W2eSYTI93mEuVaglMM7Q6XZF0EHBYtYhecAHGTSlxMgeIU6HslOLwHGJaFLCbsOd3ZDA7eAZczk39a7Q1p4faJdeS9F2Msbdhut2IEoexYtBmrhwA6V+N8kq2R93TJmFHkK8RERBlDUGKwl5lcJLBFKy3zZnuDIaCCx8V9t0FeJ4rCYpDFPLfjaK2lMEIqOoG07PY97vo6sZz1/py5be7BZFODLKuzL3worYkaFodHuMFxc3mODz2zfiUGPm4A7xm6jr5rCN6JYeRizeLgRCRltCSp0rJq9q7nTIXupU123A/IPxsH2a2CQU5oX63KaklmFGJQpfOttoyJMdKOGELEljNJoKejW6k3aVp+42NfrNy3k+bmPwkm9uDDbtewWK4oyiqt+WkNBDKmkN6UiDB/gvMJKBGGz/X1FU3TUJcVi9mcw4MDsuQRiNFkPwyEKPJBjx+/w4NHpzx9+oznz19yfnGOc466rnj77UfUQ8mTr54So6Kua548+YoHpw8orBhhxAB9NzD0A3VZSUGq67DWUNiCrKedOz4gF4+yjteerZf1WkOMbLdb2rbDDY62bdlstvR9z+HREZeXV5w8fMBusxEpibKkqmvq2QxVShxSVhWFLSiLkvXhIYcPHjBbLOWGaiPzZIIlQLrXUSCfzW7LYrni3ffeR6diz7SIclvJ/puN4H3xhf1/J1Ni1+wSQLzXTMs+DPke5mA3tyLntv/7kvwc/AYfWK1WNG1LcB6thSEcYmC3a8b3CcEyT3IdRVFSlCW20hwdHiQjoNQem+7X664xB+pT049f++MusLSvngLSqh9dj2PL5sKhuh1D36EQOTCJYfK+lZOa4RUGCnB7f0Ti7MA08ZACuXSXyN7Q7Tb0mytm6yNKo1gtFwyNyH2I92nADxIv5c+UbhmJR31QrI/fgWqZ9nJPZR8AYJ98xXB+QWEVyhqUUTDBQbI+4RT4V8rgfWSzaWg2O+arOccPTjF1wdvf/g2OH77F7vwZwQ1px4lipOo7ora4tPfposLOD8SYzhjmB8dsXMesLLDGElUh5mrp84PaxwECygfK+ZI+6XRHrUWzF4XzAdu32Koaiybjfq9TAVUppqZvI4CYC3V53b4zv/IaHRMg/YoRDXsvh7tzwBQFpqgg6e8bwESRvwtROjPFvFDMs5QK+y6ncV7lnyWj4QQUZ0a7rWcUiwOiLolKo6c12dfMyTHeUznuu/fPfu2OHIvyCit4+jfTdTtONtf97/Mc3m1uODw8AfZrf0RxdXODD4EiGav3vaMqC7QWooBKMbh3aY9P6Vw27TaFGXNpYxVa2cTM9xTJB+h1534f++1u/D5Kld2Js1AqGWPG8Wcp8hzJEZHbxcTM+M1z5q6cRAiSL1+cX/H82Rnn5xfJc2RFWVWUZTF5DzFVLYqCbuglF0ygibTmF1xdXvDw4SPsYKVbtJc1dDabYbTmmmv0ILrfOoE2trDM6hkqMZNtauEvqorjGDh78ZJ+GGi2W148f4Exht12y2a75Td/6wHPnz6VIltdcXi4Zt7NmPd1ArSF1GXMXndYqdtt4sYYVusDNpuW9WrBZnODNYamWVBV1eh7ZIzBFmLICRFt5LWmKCjKiqg1i9Wag6MjtJaC8Hw242Cx5Pvf+y4fffQdlI5cnL1g1+z4/g9/yMHhEZL77PeRf3eOvEYnQDYV7ELwWGPwfU8YBqIPlLagQ3FxdkZVlhTGsu03HB0ccHl1BTFQGBmHm+2Wwmi+9f77XFxcopTi4uKS46NDtpstlS1GwPCLX37O0fExl5eXHBwccH19zdHR0WgIZ62QNDabzVi4Pzw6Eu+KtBe1iZUsuFc/FkdA5nxd17RtS9OIjGvf97ydpOe22y273W7Mme+yXUPCyeq6Hsdrn2Si8thVStG0Laq0OCKLukomziLVktI8lNkDrj44nj1/yvOnT+mbBr2Y0zYd89kMZUrKepbkCSXWzp24OXaYgr1TfAG4RdjM30/ZtfcxgTM5ZQq25twr/+2UOHpfPHYXJJ7+PL/H9Dzu/n4KTk/JGflv8s9Gmbc7jOkpgTUGRQyv38fuHt/MkC7LI8TbbUnS5qbQpmK2XtPvrul3Owpj8MGgojh+KgU+RlB7lo+1VgzAxgBF3rewKahNX1tjsDZzLeK44eSkUNwSooApdg8kOefGdtMp6h9joB9akScggjWp7eQeN9bJQ5iyaXJ7OIhRjcgSSMUtD1StNXhPcJJ0+WRwYbI0xWThlfaaiIqJBeclKJjVVdKradM1d+I6rwNFXVKWFqM8g/NEVeBncwwRnMPOKmLXJyaABBXBSyXaO9FstkrAtc71tL200K2PDlmtVhijcNry4IPvcHD4AG0K8J5uc8Uvf/7nXD17yssnz9ntGi6vbthsNqLjZAqRgChsYmsnl9TkMDsMHX7wLA4Pefdb3wbviIOjCaInvDe7Y7z3XddLTU9FMShKQVdmYQKg9zpu6cWMjCmtxJzPJ7A+BV3OOW6ur+n7nqIsWSzmlHWFqWrq9QmmWjANk0aQ5ZtMnn/bR3w9kp3HoA8Dw+YKXAtK4QaRkhgGKWyoPH9UTJpnuTiUgECdi8z755YTogww3wWGYa9vFlLwqbVo7/RRjBazAP20urdfXEV+Mf+uKApm9Yx+GBg6GcsuteZml+ex6qYTu3dyX0I6P9nsihT/ypqjbCFterpAGUkQox+wylBZjYpOWpGigMgmgVWjJI21BKQ1fhSmj6CMldbVVAgjyXqYXFxK5zZWJHNZTiW2cMa1lZbinU4gi2R1gOjBr05OqGYVu80124uXNEolXcu0HpUl5eKAcrakXizB2FGewpgytSxKG1AWFNpLP7AvDqT4KqY9QrHf0MaiSgIzldCABSxLDGSR8rByL/KojQkcVpGIZ38XDK9AwXc24hFEv3f0vwnH7bk7XdvGuYQai356Uri52W44PT0lgwX7eH/yfhMwwvUdKgZyPUhkGdKcVDBbzog6EnVkuVyAHwgRbGWJUWRMnHeYruWdx49ZHxzy+edfcLO5oWm2bNP5xKCo6xnWWp4/e8r19Q1HR8d4F3jx/IwnT5/i/UA1qwkElDE8fPQo6f/langY4xAxs0t7dHSpIBPSnVMMfU/XO5wL9M6zWK5pP/8StGK+XPCd735E3/e8fPmS1XLJyfEx88UcWxUELfOnruccHB1xdPKAoqqJibE0xgpMBCLyGpjniVJErfmN3/td3nvvfZS5LWuzB0R/9VF6HxAj64J8Ma7DcW8ml/UTrRXAO8dJU3DO+WywW48xU25tDkqKV33fJ4khRT94FGIO673ESNc3N9xsbhj8QET0NhfrJQqo5yUhOprdhsu+470P5lijJWYJmXX3Kjt+BKTvgGW/zkc+xZi/mZzyCCk58XhQpiAODaHbEV3qrFPsx1gUnf8hijGOMNti0prcx7c5IXDej3ITt+4jiKyS1pSLJX3TsLs85+DhuxTVDLU8wLueSCC6kJKxCFaAKOec6AbvGmJhUeVMmMIKNIGoItFoZocPePzdH4ssVd8zDB1VVYiBbUgM2RioikKAzAQ2F4UeJUl6P3DzdMvz8y3/4f/h/8j68ITu/EkqyipiVASlUSZ1hw/DCLgG5elvBnzfUK2P0UXF/PgR/W4ucaACgh/lIpQXvW0dIeKJKLSFar7AGUPftbhhoKhqICZZpio9IgGE47gKkDEGWZvzWLj1/G8XgfI6EpkwiWN45YV7qYk7CScKvMd3u7QPp85O51FeWt9jYiwG7/FKoUxq6TcGnbonA+CHQYq9UQqFzXZLGFqKakaxOqFaHImkBBmsTtDo3ULI6443BB1Wdx/a1/zd1xWrur7ji88+4/LykoePHmNKLbFPes7rw0Oef/mFxFwpLnPO78GFxCz1MeCDxw2yBpZlQVUVFNEKUcYa2c9NIgwFkachhtsmcezHz6tdSGr832iESY7pp0zj9NCVIRM8clwnbyys1mEYJPZ1jjCIMaPzbgR07koWeS+FxbOzCy4vbhhc4Oj4mOVyhTFWxjD7jtD8+krNODo+ptntknn1wPNPnzGblygdmS8WtEkOLkvadF1HUZZEoCSOjMrZbMbB+kDicGOxRcFsuUjMyyccnxxTVSUXZ+fczGqatqFtW66vr/jjP/ojVITVasV8PqdpW2Z1zXwx5/BgxXq9IoZIUSrpSk3jR1iFWgwulaKqah48OBUM49kzzs7OuL68oa5n9EM/4idSICiIwVPXpTA7SzvKB7Q3G65fvBRSh5E48asvvuC9Dz7g6OSI4D1d03D64FRk8tBiWhmmnaZvxnz9/+VhrcKPXdeGtm2kKOod81nN2cuXWK0oy4qri0uCdtSpoF4WQlpr2zZ5T0kxbnNzw3Kx4OXLM+azGc12J3r2EdnPQ+Dg4IDNzQ0HhwdcX11TViVnZ2dUtej+FoUdjdrbtuV3fud3WB0c8PDRI/7Rf/lf8stPP6Wua0IiWWYG6dhFMpnruTOvKAo+/fRTQgg0TTMa1OUiSsa9ZrMZ19fXLBbzkQUre7blnXfeYrFY8sUXnxOjZ7GY42OgqCp22w1Pnn7Fd773/ZGwaQuLD57gvRTCgubxO+/y7MlTIorVwSFlUVLPlrRdh0q5Zgz77eMviwWn68pUivJuQX2K9+X3u8s0zscUQ7iPKfxNTN+m53hXr3h6jqMnWNibjN6nYDC9nilQnN50H5D+Csc3lpXIy4QELzolYCYFQp7F6oDrJ59jtQJrQBfQe3QU4MJoMXEhvcdms8PovQ6e9wM6iulSLCy+6zBWUxiFMQlECrldKj8MR0xGAFopwuBSSxQTgDgxJkhMwDRIQgy44GGQKqe1t42opgLy00EwJkthH2xhddKp2YNj04pGyBUGrcdWeBVF6xQFZVVKFTYBNjEKYHxwuEIpjRsCIWmNKhMprcZGAb2qsiAkF+p6PoOhQ8dAdJ5gLKEf0jnsXcZ9CLhhYOdFZkJXJQeLBUUlzvNGgy9nPP7oh9SrdQKfAqHf8eWnP2V7fsaLJ0+5vLrm8uKarhezn1lRUlYStEjCKAtAlvTo+56hHxj6TzjcPuDwwUMePv6AqBTnX31Bu92OjFBtspaoSq3AkghVvmRwA4tkZCaBrU6sRgW8GgipxChzfU8YehSKfpD2oF3TgbKcHh+wnM+oy5pyccDq9JFoF+eAXFKG20nfG3G8GuTeZZu5oaPbXmNSsD/0PV2bZCWmhnTBj2BSdhhWKnvkyHtO9V5juM32usseloRIik/Bx5xJJ0aCBKghxNGAYlp1k39SBZR28FIKCW2P96nqZjLTVs4vJuAkJBBEzmOvCZSrcM6JHEQIPVWR5GKcmFl4FSkPH/LBD/860bU8/fM/xPpeGFlKE00xAjGmkIBBpxYylMIkxvLYru0r+r4jKrBGTCdFh1PAbZ0LTQpGxlEq1uUAThWFgII5QI9RSM5aCnJFVVEUJbPFir7ZMHQNCY8XYLiaoatKEpRCWnKVNlhjRYwREjA8AZ6mMyDuk0SlDEVZiaRQYrPKf5N+s5LnapJMhTGaGBxRWbQpJ2BuSk7GTS0B4t+gOJMLE0rfz575tT+yNkH+VtJKaeEcwQSJmhRR7qN3hAhD3zGbzeV1k3vI5Kv8PKV678cCg0oGCUrBcrWksAWzUfc+0HYtdVlitWZeliht8D4kLV9hNc3nc6qq5uLigpcvXtC1DefnZ8QYmM1m1HUNSnF+fsZnn33KdrNDa8NiMWO+OOT09JD1esHB4RpjFahpMKjGdTifU67Ej4FaTF0jaa5vbrYMg+PsxUvC4KjLCj84XNdjyoIHDx7w5Rdf8L3vf5+iqgkqsjo65q13HguL2CTjK7XfA7Ip3q1HdrucSIiBkwennJyepEBv/xfqntd87XD4hpjolKUYUiEor3XZtT2veZFIXVWjrqGdrONKpS6J9Lf94Agu0Pcbee5+3w6stcYWloOjQ5599RTvA+1ux2w+kzWuKFiaJeq+HL4AAQAASURBVM+fN8J8MkaMTo3ZmyhxOxC/7/tf9yNvsa8nHiq87/GDI4ateGa4geDEdC5r8kXvJC5MxdocR8YYwaT4xEvWFFUUHd2yul1Y1LkV1lDU0nExNGmO4wnBUdYroqmolKK5eEaMA7awqY10lySHDIN3YCyrB++wevgOSpu0NwglSANRG47e+x7L47fYXrzg7Okv6W8uqG6u6HY7+nZg8EGYrOwLxt4HoutQPuD7AbM85O/+b/5jjk4O6W9eYpTa308le6MUtjxucOP8MMZgyhIVBrroqdan2GJOsZ6TpQ365hrX3Ej8aAu8TxrAQQsQgEVHT9xeid9kWaBdL10CiSghfcdSHItaj94KUWWYbRSLGaMwNRZY7x8T++cGErME9gatMrBuwXlKQB/xiMjAcyq2eI+KHj/0+BCwRSl7oVLEMBC1walMqhCtdG2SWWAI+NCii4KinlMvV5h6hVJ21BqOd/wbRumSsfpx5+r+EiD11/G475zvBw3gvqzAFpZvf/ghv/jZz7i8OOfk0du3Xvfwrbe4ePmMzdkFhbW0zjMM0uGqjRrfsncOXRQcPXrEarXi/Owl1ayWzrkEHGslRdq7Gv53AZC71zL+fDK2pq/L3wO3mPLpJcC+szJ/7bxLHTyyL3jnElagxg7fTL7It9I5x+XlFbttS9P0rA9XrFZrFoulsBmTp0fX9cxmdSKOaPqhZ7fdUtU1bdPgnOPw6IiizLJne13hrutommbcA51z3NzcjHrBs9mM2VyYw3U94+DwAJeIS+++/RZnZy9ZrVbURcHhobT1X11doZRis9kQfRBmcduw3W4py5LVasV2c0PbHjOfz5jNaupZKR1RSQZTKY1CchOtYb1eyT5cFlycXbC92bHZXHNzcyOdc0Up64kWpmtVVZRVgS2kWb+wBbP5grIUgzNbKl6+fMH1puX3/v7f591vfQttS8qqRtmUu8QU37wyjt+MPfd/9qH267XIYCl0WRAi1FXFzg24oWexmKMinJ+dsViIbq/zA95L0XOxWFFVJVdX19QJKA7BY60RY+UIoShYLVcMrchMNM2OvhGJ1bZtWSwW7JodR8fHAGw2N3SdmDWvVitijPzjf/yPRwmJvu+Zz+dcXV1hbXFLQqVKXS6Z/DRKIyY8aMq2d84lH649gJxja+lknycJCzg6OsS5gc8//2WSOZBxWxQG7xzWGL588oTLszOidxAihZHuWKUVdVXSJ/1iHxQ//vFv8ezJE2azmrIoUbpAa09ZzTG2SIWdfT7zOiA3r0/3MXencrB3QdT7MIrpz8dhovbs4vz7u++d3zcXo+7+/C5Z7nV74/T1d9nPeQ3Na30mrd4l0gHSjfsrHt8MHE7nrFNiP1bMc3KqNEW1wJQlbugkgQ8OnxgCErhaoi5QfsAaw6Dk/UJwCexN2qIoSWyrMoUbHmGpCViQ6proZIQiN1cE7rPQvUsAaIwkeYIBn0r4kcRijgKi6FStLYo90yIDu1n8W6l9G4jzXtou8yBCqkt914/yFPnB5Ak1IEFCDCLfILIJKaHVmr5tBThG4YPHGFitlxS25GazA9S+jcgorILFoqaqK0xh8dpg+4b++oLZfIk2ou2SgWznHK6XzbAberTRsnFUtTB96wpdiCwD2tD5wAcffZ/ZwaFcS2ImnD17SrvZsLm8ZnO14eL8grbt0cqwmteslouxoi2JuVSK+q7HO0/vWmEu9D1xkKTy8NEjHrz1FpU1nD19QrfbEbxLiUgYwfKQpDacE9ZvzKU9pdLGKpqs2uwnxFQjxjufDNZkvLVNx831huAlKZ7NZxRVSTFbsD5+SDVb5LhiZHrsTRy4ZwP9dT2+/jwjkeB6tleXVOVeY7NtGmKUICODrCOTdlKxCiEIq+yVogopRwmvLNS3vk9zK0uuhBCojSVm5/YJaz/rjMlnpzYwqylKYfE0TTOaVsC+QJQ/c1rkkZYQWTumgu/5dyFA8I7CLDBaMTQ7hk5A2be+/7scPPqAEAOb80ual19QViWg0NkgUe8lTgRTSuzGocd40qZcUNY1xhaE4BKgbfHDgAueoipx7ZDOX+9ZQSFgbNoEEjqfr03a/tWdeE4RjcXYirqaUcXcZkRiBZsx2cMWaJU3mElVMoTc3rF/18mGtk9A0nocNEW9glRMmJrUub4TplcY6L2s/dWshOhwqYOBEaBKenAq4d3KoFSxr4be+fzpud3VhZ/+7k04Yu6hUYyFR3lmagSItQJUxLueTz/+OecvX/LonXc4PFiTXc7/MlRRqaRlZwx9amc/Ojri6uqKq6srynVJWVb44BNjpUgtoSI5UhQlxgacdywWCwmSkftfFAUPH5zy4vkzttsdXSemGpvthq5pxxa2xXLOwcEBi8WMqra8/dZDFssZZWkmhVszOeccf7BfdyadP0Ybhl4Swb6VouTmZsP1xSUKqEzBrKwgRGZVxWAMRVnSdh0rLZpp7337I2xihKTM9hbnbz+kMtzz6n02OnUmqfuLdN9kLI41vTTs775+//v9GuezJM+knTe3pWaJkhzohsk6QirS5AIeZJ1IS1XWXJxdpCLcfj5lUMIYw8XFhciKGelMEO1Dgw+ewlje/9a3qOcLohJ2tuYui21/LW/icTfpuPc6Ymp79B1RpQJpZsQgbZzBOSn6xDjqc2bQxwdZG22SFIqpvmqLIu2/UtgNXtiw0Yhpmy3nVPWSMPSi3W4qtK2xxQxTlpT1gn53M4L+tl9RJHM2GzzH769ZPXwXO1uPsdFYbJKLRylFsTzmcL5mffo226uXbC+fc/HsGZuLMzbXVyijUTYy9FKodYMHrWhC5J3v/ZDf/f0/YFYWxG4j8kYIqBlSsTj6bCSlqWczYhRd06HtGbyjjJ5CKfobTb0+BSWG1hEoFodobRg2l2jy2LUogxTYhoFqtiSseuJ2g+872XJ0llBKySWKwXtKszfHytef14xpQqjU/l7lcbKPhSJ7yaDpOJoAdPckmLf3twh+QAeHaxv6ToB9gKKqqWYLdFmDyvNtT9hB++yJhVKaoqqxZYWyFaZOXXST+T6drfui8Z0Bzu15cFdL8df5ePUqJ7+bPLe7cUc+ZC20PHz7Mcvlis+/esLJw7eYSooYW/Do8XucPX9BEaGwhsE5ur5nvlzSNztM1Ght+ehHv8nJg1M++finxCgyUB9+78d8+rOfEeJACD1KidG5IsUMmlvr+t2Y7a5uZ17DpwDzlGE87a7N75GvOxu3RqTTRCPyTn6yN+fcWl6/71SKMdK1HW0zpNwVlqmV3hgxSy10Qe8cMXW7aWT9nNk5RidcAPEiee/DD3nn/ff4V//8f2BoW1zf0bQNTdPQNjuGRBwbkuarMQLUZj3j2WzGYrVkNheNbaPF26Sqq9R9o6lbAbbW6zWrgwN+8pOf4Pp+lLPabLfUgxMZJxWpqh1XV9fMZjOWywXzeS3dqlWJtRI76yTJWFjL4eEBdV1zsFxxfX1Ds2vZNS1DL1JeZVHRNA1d10u3iFLstlua7ZbBeQ5PT1mfHPPFz37Jajnjf/u//4e8+963WazW6KKQzgstMnoBEjAMtxaoO4X4v2rH2PGgMrlFtuBxXHovgC6iG6uV4DS73Y56NmNI0g1aa7quw4QgZmrpdcMgMXOW7ZEueOmU6YceNzjKomA+n3Oz21IXNbYocN6xXC7HAkbGtzIQ3HUdWmspvCRMqus6qqoiRgGYYxRzvOvra+bzOc5JfC7mdiL9JWNf3uf4WAyim6YZAWXvPXVdj4X/3XZLWQlQ2w8tSqmRhDKfz+U+9C2/+OQzPv38C2Hs+8DJ8RHvf/tDQtfzL//Fv+Dw6Ijv/+AHiTUtxLvVck39QU3ftYw659pSVTN8zMznV4HWW89zAu6+WoiSY4oL5Xgqf/91a3pe66ZGzffvwbdfd/eY5qbTwt10LZ7GefettXfxlLFL+VbhLnck/WUo0O3jm8lKRG7pS6k4rV6ntEiLRmvX7saH7YOmHQKFVlKFSemuMUoAxBhu6aGEVHZelHZMgPPv5D6osTqaAQdphXQjQ9cHqbyiUmusj/gAPgivznuPjvmc9Sg9cVe7I6PzGVwaB0Ni3Y7GOUrjhlzRkDabXKU0CVTLWkneD6gYBfwZhCWsSUL7kFhxivmiYjmvGfrUdmA00RqMjZjgmc/qtKFosAXr40d0F2fEvkEldWiDou07PJF+GNhttqgI69WKejmnqGsxu4qKAYNHEjRUwVvvv88sGefotIE7N3B9/pJmu2O3a9j1PbuuwyjNcj7j8EA2uzJpA8cI0cp1uaIUw5PNlr7t8EauS19Ku8vy4JD1wTF1WXFx/pyu2eK6DgaNV57gc2XEMPSObtcRFsNk/KUWc7WfEGEyqUYdtSht6W5wdI3IWxAVs1mNtsKqMVXNbHVEzFPk1vyejPq/AthwyjUgioGQCgLItm2HT0LNnfOUWmO1MF6iCGkmoG6ql5nm6YRFDPuFTCkJ2vwErI0AIWCVppgtCH2D0qPcLN4raTsZIigwyT2WxBjQxlIsVxy+9QFnn/6EoR8mn6tHcFqSqiRDkgo8MectCqKXC1LotPArnBc2vIuwPjzl+md/wleffsrR4/d5e3tFc31GvTri7e/8mJvVAtwGbWdUyyMCGt9cJz1EMSIxWjoohB0lSXff9RhTYooShZX1IEaMrVB9J9VXLRqv0Tt8FC1JFUGbMiWa0gqmkjRDxIieEwkpiGq81qBAmQJNMu1Mg1tniQpBg0Ym48hMlRsKtzbBzJa5LeWCEbDHFBXZ8BFEt56YtTMtWQpd5DWMyL24Hj8MmLKQxN31AiSnli4/dPRNw/zgmMXRO+mCwq1z+Loq7HScvgmHBlQMogWsMvy471AhCtPXR8/zJ0+4ubrCWsPTp0/5a7/zLuPiNU70r/kso1PXhgRrXSOt1Jlh0w89tkgM+BixVjwCiqJgvpzj3MAwaGyhJwCDYjab0TY76vrdMdBVSkk3iRN5iLIsqapSGAx1xcnJAcvlkqKQGAFy4HY3KNxXzWMeXzFyc32DMSXeSxF5t23kmtqOGAKz+RybJKtygXe+XPJbv/3bnF1c0kX4m3/n78r+eBesec39i1/zu7ttvf/zj1vZ2+0TSLGS957NzQ1X11eYOO3+kARjPhfGi9ZqTJDXB2uapmGvYXk7TJQ4wOEGJ4UBvLT7BhmHXdfJWOmFyaW1oTaGeiZJcD2rqcqK6B2r9VrYnalo/k2YDW8qYLw/UriuDURHTCZzMez3yhjc+My8FwkEIgSVkgktMZ42ewkjabU2aW1NGpZW7w2XtJHiki2oVjNZS7SlWB6l4h2oco6xNeXyOMlAiF6tSkCnthZtC+kMJEkHxTDG6gJuZkAhaRzXC1b1nMWDdzh9v6XdXHD57EuuLy5pbm7wQy/6vrrg8PiUBx98i1ldon2LZkixQiR4AV58FBDVlDXzmZU4JBWOFrMlxMgw9EI8cT2q39A3lnJxBMqMZmp2tsINYiyrXIfVEhuGvCeFQFkv8G0DRgv7Ke6fiQFI69fY6gnshRUTcWEEeHNBcz+G+2EYmX+vX6PDeE9vgcB5p475byD4AfqGdndNt5NOvOg9msDge6J31EuFsqWYIxojr1Uia5fXERNBhZQ4q2Esft06xcmip8b1J92UyKTrZzzT/QvegONulPC1Sfrksm6xztIzn81ngJAVyrKa/D6yPjhgsVzy5NPPOD0+xhjD0dER5azmOkZCEGPz04ePePrl57x8/py3Hj7g7MU5AcV7H32PT3/258SoqFREZNxvAwi5aHf7Gd7eS5Ouyq346T4W2hQUqeqaPkk2uGEY0bXSWvHPcDJ2ZDpI0TYXuWKSc8zzqWlbmq5l1+zIXXBlWY45+Xy94nBWc3l2jokRq8E5jQvQNg0zJTIRQSs++O53WR8dsTo+ZnN+znBzg47Saaq06HC3g0i6RW1wEbxSDEG6WFRZUsznqLLinW99wOHJKd47tldXNNstRZniLWNZL1fc7La89+67NLsdXdfhnafZ7XDesd1sKazl5cszZvWMelZT1xUHByuWyyXL1YLlciExiZWCeiRSlAVFUVLVFQeHh9xsNrTJ7BcifT+wOhSpCq00g+tpmi3BB663O3739/+A3/07v88//f/8U44PD3jr/Q/p/MD1ky+ZLeYcHB+nddwKuWoSJ+bHnWP9u+P6TTn213F7XOdjLNKlP85rdVEkJrfzWGMpipJ214qUWlGhTI9re5puYFbXaG0IXU/UGmM1vfO43rFrGvGrqGo22wZtRJZUW8Fb5ssC74QodDwXYzmlFdFHmralbVsxgQ6BIRVFM/u3rmu896MMRAaOBYSWeLpLzFyJ9QQEzsDwer2mbdsRYO66bmTPX19fj7ISee1Yr1bc3Fwynx/RpzG3PlgDjITMvu/56c9+Rtt2PPvyC37wgx9w8fQp/+f/9D/l5PQBXd/x1dNnzOcL/uF/8p+gtOLv/sHfR9siGeCWOLf3yVJIF5XRe8+vuyDq3aLj62Qa7hKZ7v7s7nvmr6eSHHeLf9N/U8Lc9G/vMoynn3Hf+pqPLN8xvb67oPj053elJ26N828wd78ZOPyr/IFW6GqOtjVq2BKjxqGpFitCu0HFgDUKosb7iDGaEKYufvuNSfYXn4AnAT6khVPOxHuPigIMO+dGHZa96VRk6D0kqDTE/RKg9b5FS1q25OfSqpF1MPeM21uDgZiYQBEVIyokx2JjGQaHmiCG+Vyy8cbQ9/v3idIarqLIagxukO+JlFXJwcFazqkfEqCVAnMCVVVgy2JkUfoYKOZztjc3lM6BYXQ51lqNSUNZFSyWKxarlTDEhoG+3WJsyXx9hDKFtC1aS1WJo7Q1cp0hwubyjL5vpOIaoesdIUBRWuarGbNZibEabcRJ1+gEDDtPVc5Eh8Y7NtsdnXPQ96hmR7mbiUO8saLtNHtM32zYXl6wud7S98I+HoaQ7jESxCcGsYSd001t/98YE8CFSBCITAGpmi06c9Ya6qoSYfmypCgLbD1Lo2UPeuWgPy0lv8qs+LU4vm5JyFcQI3Rtl2QlRFYhRAE1VJbtUAIMx9RSOOY7mTWUA9H46qIMaRGbMtMQnd+kICYVWCUts0pbitmMvtlSleDjTAJIxEk29A1Wa1Q54+Txh/RDz3ZzLeaLKeDN55QBIxBgw6fzzVqqPghYS4wJEJb3iBGcD1x3gQ/e+5DPP/kJP/qD/xXvf+tb7JoNn/7Rf8Ph2x/y6IPvEpQGM6M6eESxOMDagr5ZEvqW9uKpJGwk8xpTQCFrkjEaW5VgC5T3kniGSLTiBj/0LUPXSRCtwKjMmt4DtCgJeFGZpazubDi3szkJADMwPNFJzGtiuJ3o5Ir6XWB4+ke3N1vRLfR9P+rf7sdBHJ8PuayQigQqpvch4vtG+kWMxhaG0EvRL/QdvtmxU4p6dYIx1a2Z+OaDRrePJ7/8JcPpKZvNBqM1y9VKdKKtpaprnHdcXl2Js3EInJyeMl8sOXrwUIoAOYj6mvsyBf+10biQWjeT0VhIciuiNyos36KY47wAw2joulaAY6uoizneeQFmtSaEGXVd0bXNGNzlguvQ9UlWKlLVJXXS2J/Nqj24ZYr0XPU4boRVkBjUQar4Rhl6J6az0jXkadueqysx/PGDl+RVK1wIVNYyW8wpqpKyLNBGMZ/Peevtx7y4umKxXqf7d18TuBrv6dcFXa8fjzkgzV//Txu3t95/PwmAvcuy1hrf+1vtwJklDGCt7PtlVeKcH52pqwR4gazTvRvQ2owsln1QLM/BOcf19TVN03BzcyOF88TGrqqKej6nSNI/VVFibIkpJSEYxZvu7Bn33rn4ZrAPvzYYjyIBoYsqgcBx7AQw2ky6XeSf1ka8GZLcBFqkTYqiEib44EYDJa3NKL2QdYljLg542X9MKpLaeoWul5iyHsEbhcSPUVVoW917+nfX88jd55H3l0jUEnNJimBQ1Zx5OWd+9A5v+yQD5wdc1+B9RwxOugKHTmJipdAxMAwpflaaqqwx1koLcMg2sWmf0QptSuqypusaousIzuOaLaacY8o5+8hOUy8Pib6j3wZ83yXJt4AP4nuANtiywrue7N8Qp2D4WEgldWrIOU7u1vhvlDdS+3vofBCzWzXtzrpv7Yjju+Vi37gLx0AIg+QjQ0e7ucb1LUVh0bbEO0+3uYQY8XSEesAmj5SxcDjG0gnYTc/PeY8uzAjW3T6b1LkxAalz3J3vzUgeSL8bhokr4a/1kQo49+jC3GWV3QKD7wAQuY6L+v+S92e/tmXZeR/4m83qdne620bEjT5bZpJJJkmJIkWRlCxYYgkoAbZR8JNR9U8U6rke6qUe/WA/2YABG6gyXEa5YBm2ypJIkSIlJslsIyObiMjobnu63a1mNvUw5lp7nX3PjYygbDguayHi3nPPOXvv1cxmjG984/siRW4lB2Z0y1O4dXh4yHee/BlFZskLAX1cCNx77TU65zi/OOe9n7zN+ZMn4Bz1ZststuD84pwX7t3j9osv8PC9n5CNTM+FADA2UUqfN5JG6rvM+lHcj+v9a90HTPrrc4lROAAyKvX2Op8omAGloxSSTbZXKI1DPBljpEmgV51i3j637+f1arni1bt3mMxm3P/gA6FBWYXuOqoqJwZH5yO3X32Vk7svECPcvvsCy9NT2q6laTtq1xHyjBdeusdLL9+TmCpG8izj+OSE7XbL8fExZVmik+lbWQmRSinF0c1bnD56ROc9WVkwmc1YXS7Reca06+gWC7pUIO2als1mQ1s3XF4uaduW7aamKErm8xlN01Jv5WeLxZTZbMZkWlGUMUkQaJECyjOR2Cyy4Z50bUvbdfgkx+ddoG0bikKAzEMn+dZ/9V/8F3Qx8saX/h22naOqSiYGfvzDH/LKa69x8+5dlAoQdVq1P0H05jmJr69jlfaFtSFPufLD4Q8SxyBtvrIXGpuhs5wuiGRI121wzqHznByRfCFEsrIkKIXrAjrFVZPZnKZpBYAlUpUVFxcXaCuSCuvNhjt37vDRxx8xm81FAsp7kTpNAK5zjuVqyaSqBhCyJ1gopZhOp6zXa7z3LBaLAdAVCZZG9K+3W8qy5OLigslEmL5nZ2fMZjOqajqAyD3m9frrr/PRRx9hrU2SEZGjw0Ni8EwmU7IsJ8TAerXBWMNkMkVrzbe//x222y0ff/wxi9kcqzT1asVkNmVzccblcsmd42OUMfyz/+l/5Itf+jL3X3ufWy++RGEnUugYqQJoLUboxCD9EOppsHX8vJ/FJv4kJvD+665bz/ffdxyH9r/Tx9jXnV//72cxk/fJTeNjv7tjvxNk/DtjJvJwjkpd2bt/3vGZwOE4SvL3q6U9uywShVEgXFgUmix6muUZmTWiJZw0SF0avN7v2ht1mogR6A12rmAUw80T+Yk+Qenbzr0XgCek85L3DanFleHGxcSqUWpXlegDGmvFzMYlJnIvet8nSbpnASTQKQQJvn2SigCFH2Q3JGEyo426b/EUMywBvJu2GQLoqrCcHB+gtWW7bdFaYbXGWoMiYIxsEiHdb6MFIG7OT5lNKzabJYZkBJhZTNg5IooLe4HNsrRJbRLgbmjqpQTiWuO3G95769vcvPcqx3dfIpiC6DtOHz9mvW3wGFablu2qgS5SzTKm0xJt5TyzXMwR+gSk67rE7vZUlbQmrzdb2rbBGkO73aBmJbFb47Qny3PK+QGlEdBrtVrTNh0xBtrG07YdXa6Ehd0H2btcfXjOAjpFRNYkELwT7VolhQBhmiezMr0LtPvXigF9WnD691Up4I3sgt7n4RhVhOHqQrfT5xamrNY961rGrbVGqvEhGc7EOCTy/Ub1SQn7Jy3MPUhLFAaUImKTxIKtppiywqBxacMwNhNjmXpLe/kEYwtsVnH6wTuiAahkjsbehC/IdXjXYaxNHQ0yf51z6GSyo8PVdaT/OsbIkw8+5Cc33uNX/t3/gOMbN1k/+pgywvryY7aXjwnqTQ7uvIrVBvJSzCe7hmgynJJKMkkX3RqDKQoxukpyE9FalM0xJhK7Lt3jACnIF81xabtV48A9MXSGgFztvoZdy8yQvMaIRqOsIfqYQJldkkdiWo/XeUbP+erzfAb4ESEO2o9hYNcP+dWAg+0FboD0lAxptPy6C6kIJEzx6MSQKdNG2Ha2uHLe+8d1DJjnif3QNDX1dkORC0uvTa1kUYHqWlCSVJ6c3BAd0hCwhQBvcR+Eh2srRcI4B5WKsH22KnM+psJcR9t2A0OuqVtsJplmWc0GkDbLBMjNc2lt69fYPLfk2UiLPO2dsr+KWZoxkgRZ0/sYpMKmMYO2oOz9vc65l+6GxMaKqbjjfCCzBcvVRrpD0v6/qbes1muZK0aRlwVRgcky0ImhZAwuer7wpS+RFbnsj2p83z4ZyN392tUb/XTAupsQe0vzpz6GZzuas8PJyn9U0xkv3nuFj99/F+McdSOSUmJSK5JBvUxI8IG6lgRiXDhTaR9Uahf0KkWKeeTrzjnWq1UaJy2Hh4dsNxuysmIynVBWlSjSpJhKNu5AUZQENE3bUpUFvfGIYrdm/DwW23N5pHjTZMK+V8O8CISU1IdUBNFap9gleVIo6Z7LUuea7FdejP1S+6RPc38AhuNoDehvndYEY8mLiqiTEWgCB65LUJ55DISO/jlF+u4eYdl2Ik/hPASPd9K9paITdi9yvfVqSfAdxqZ9z1iCNlJYTeNQKUVWzeSeuI4YHMYWoMXg2aduH21FJikvJ7QbiQGVd/h6g82qK/BHCLBdXqCCFD+862Wc0jhNpBe/3aLZeZaILqXH2D2pGXmQg7xEHL/X8Ph7EA2KvEh+Bdff75hisf09V0z5ek8IT/Qtvt2yWZ6jlaGaHwhoq8CHDVmeyB8x4FwnW+fefNrhxBGU3MsQPYTsWY/+qa/2jzGQ2GMuz8PRM76H+t0n/u7VDrrx0betSwdOfe31rzcb6qbFedHTDWlOZd7z4x++xd0XX+Ct736HN15/ncLm2LKkXm9YrWtsVbI9PpAii3NQ5MP7Sl5z1ZhJD898DBBfvRabzOSGaxsBGvvgxpW1OeXGWknsHX1PxRCZBKtNYu5K91EYERN6wlTdtpRVRd1sWW83mMwKJqDAhMD7773Hvdde5Vf+1m/wkx/9mIcffYjGoaPISdqi4gtf/iooTfSey4tLKQ55R+1bXv/Kl/nbv/d3WRwdS+gYuXKd/bPUQzw0vj0KpTOOb99htphTr1c8+vg+Tx4+ZLresF6viUlGsW4auralKEs2qxXL5QpjhNm5Xq9FAiDPWS/XTOdTttsNy+WKalKKod10wnyusDYjy6ysi0ZTxAzvi2ToJblC2zp852maHO9LnAtYH3n/Jz9i9fgJ58sL/q//5/+Rrna88so9fufv/11+/W/+TZYXF4QQRTqdnqjz7BjneYqdP83x1LoNo8KqxL8aMNZi8oLpwSGmrombDSYXbEXVW7Q2XF5cAHB8+4jttqZoOg4PDlit1qzWK2azGQ8fPBTQM9vSOY8pCpTVPLk8xxYFF+slzbbmIAG8WfJt2W63TCZTtps1BwcHAzDce1rFGAe5iM1mw3Q6RSkxDw4hsNlsBlZxURTkeT6AxN57VqsVZVlyeHjIarWiqioePHjAdDrFGMNms0EpxXa7pSorQoh0rSMvcibTKZeXl3z44Yecnp2xODjklddex7tAmecYozk8XOC8o8hz7ty+BUpzcHzM/PCIX/3Vb2Ktpd5uyItSRqEsH0SkSKISZgNPyy7BszGGT3z21wDD+yzi676/XwzcP/qfX8ciHr92v9A2YKo8Pc+uA8H7749fM/7cKzl7gOuKnM86PhM4HNQ4wR/KwoiEgjB0xxWNnrGXW43ReR9jSRU1bT4RkSpwTiqPvSbnuCIt0JVINSgVhw0uxhHA55KJW9I1UsPrQ2IS7lD+AfgzejfYECDFWpveRxYEa6z8PG10WouSk+/cbiPRqfUguHQPdgCj9x5RUJaW8qhEezjGOCTR3nlCFCDKZJaDw0NsZqm3DTEKkGmNRutIZi1ZboagM8+stIUp0F1N9AZsYj4rlYTtZYMzJsO1ouXkO0eR5RSHuQCDShGUQpxnNYXNIAbOPvoZtqhYnNxhc3kJKG7eucfB8Q0mi5u89/FD1tsVJ3mBNRl5bimsIS9yyqogS4ZyRSio6y0+OPLcMKXEGMV2K2Ys9XrDKlco5dE48AUxs8OiArBmQwiRthHNYe9dYorEIaIdCvSjv1X6HecdPjllx8GJVZib2kh1NvbjJD0zjSfVqtKIujrh9ivsn9tjtIA8Vf1K26OyVlqok/a3bDpxaCGPPhnkJEBy0LVFDZIE/e3og+TrKnHjAKz/d4gRlWdkZUGMGp1lmFZJYaMS4f88SUgEpWm3azGhmxyS5Rnz23fZXjxk+fA+LsmGDEGdSgl38MRO1gibiV6tFIUM0df4mFjFaX1xXSdmMyEyyQyRwN1Xv0AMgaY4x958kcUrX2GyOERnk4E50w8PbTIKk1HmJZeuoV2do0Mas9pgcoVKBTOPYjI/pm1qQlyjgnRFhChrRhaTbmTXyb0yBm1zSPI1yvbr45h9Z4gxbSR6x+QhRmLr0pqgB8ZV/7Pd80oQbboo1b929DyVGjlXMwYG4jAJ4+6L3a8GQPUspPEmqEa/ukvfdXDy2cHj2ppAGBgxUe3KN58UEDyrQvx5P+69/Arz+WKXxCnZiAP7WlLCUDK5FmY6SYuY/lnuXv700YNIfRKXEWwtUgCzKdumxjnP2ekZ0+mUPBmoCDNU0TQ11aSS/VGpYc1QSvQTdZ7hnKbI7aAd3lfY+/31il6WFkkURdrcVEykOtHZ7jXoBSAWhnAISSN8JA3jO9krusSqXG3WbJtaCjQp2cqKQpjEzgvLtSjIyoKjm8dyr0YFkqupxNVAdMe+Ht3WT5FHXWVgpmfxjLV6/3hqTMfRaSL3wVjF4fEJznV8+N47+BjYbjfJ9DKwODhgMhE2St/qa4yhKEtsniXWgU5F/d2eMJlOebBcotTOdNIFP4D0dV1TFiV5WWKtwfsGqyWuUMaSlTkHixnlbCbmfy7gUiLd77P7gNr19+3zezzrHHsI3yuFLip81NA1u/WbMLDsjZFx2hc0SclBcA4VhYXdNY2Y8WaZyEYQ0Wkfl/3cE/uOFDSDDbvSoAxoK4WhoSTXD6Jw9az3x7PafS+mlUi6gxzBN2LUHAMqePnM4IlBZBnE0FkkK2KQDrAst7SNFIEUmujDrlCoRmBd3JEvYgi0bY3NCmwuhUIfAyE4jBUPDZMXhK6GZNbZxzxSVfGEdoNVEhukj5LrVxpURGswRcXhCy+zfvKQsF0zsKKDxO9KG4ijPWhYe/uPuia5S8/TGHPl1moCUWnIcqzNBbRXYtrqmg3RdemOi8xFf5/b9ZJ2s8QaTTE/QJtk4OMdWlscqctCCTs0EpL8lOwRKpnLKa3F0DqkWDsE8qwcxufQWCRL81Mw0pWktI8uVLqn9En+5/8YJ97XgWWftoCi0g2w2rJJxUqj01yOQmY4ODphPjugyHI+eu8dsuS5AREfA++89UNOZgsmuRTuvPeE6FCh450ffJ8//Zd/wO07NzlezIfzHmRO9I440BcaQtLMfBbI65x7Ctzof7Z/D65ebP970HmHS8bL0UsLutGiWd93SfS5SYikXNoyqSaslhsBkY1mU28xSc4qBthcnPPu2z9ER83XfukbtF/9Be5/8AEf/ewdtPN8+Wu/yHxxiHQjbtmuVtRNSzk/4nf+0W/z0quvidmV0r3a9uiCRpcy2tf7nH733DVZNaOoplTTGVjN+aNHlEUhklZZhsoteVeQFTllVWKLXAqwmw3BB9brNW3X0rYNq/WK6Uy0h/O8oJycc+fuXZbrhklVMJtNmFZV2qNBWY2JhmjlnIpC8IaJr+i6jk2Snjg6PCDXhrbe8Nqr9/CNI/gWHyOLk1tcXp7RbDdM5kfpeciaPnRhXPPM/9offdgRRnPCGI5v3uTw+ITNNnlAJbkTmwqR0Qv+dHhwgFaa4CPKaC4vLlgtV1TVhPnBAT/50Y/5+KOPefLkCUpFzs+eELxIkCyXS7q2ZbvZEmMQozvnKIpCur8PDobOLmsts9ksSYww4G+inZ0P64Qxhhs3bkjhIka22y2LxYIsy6gq6dqeTqdsNhuePHlCnucsl0uKokh634bJZCK4lc1wPtKsG4qypKwmPHr0mD/6oz/i+OSYN958k69+7WtYazlYHPCdb/8lLno2zRZjFNW05Bvf+CXuvPgS5WRGNZsznc3xiNQsKnlwdUjeGvo9Q2J8PYrBezxvn1Xb3wv47GP3OiLC+D3HJLgxQ3jsWdR3fQFDsb7/f9yxd91nftJ5XXdO++/dn2f/9/C6EMVE9lMen82Qrq/60m+YcQh6huoqEde1EnD5DkUQ1pyKg62RYMPSrmU05IUwVnZ0bAbQV6k4sIT6hyL/yzl0nbAQ+nMZWC1aD62m2oByPmn/xuHnPct4zOoNSffOGkNms1StCAxaPFGCUdnQxi3x0HqHimCUSUmUDADvfALW5PPHhiIQMZlIMUSXURwcUB4c0Fye4ntgF4XRYKyirAppuVeA0oOzdyC1s8VIWRa0XZvAA0S/KGTEsoQYRefRC8PLGItP6LIHlDWpShOx2lDYjHq94uCoYXn+BGJktV6hJ1N++W//Jl/+tV/m/Mkj/uC//+8pM4sKHXmZU5WZ6CEbBgAgywyZNWw2W8wGMqPJjGW7aanrhsuVJiaGc5Z1qFilSmYgs1pE3HXatAgYJULqShsBDsaTR2lUqkkLWSnsqupBTMi0EYbSOBG1NsPabHD77fWvR0gXe188H0cfGPLsgNbaDJtlBC1VfxV6Rp9sfMoYXNIt7OVdxovSOPh8VtVrn30Ku8DZdx0t0i4fdSDL88FtW9scY6yAqtaiU3sXWUnwjnp5weTgmGhzdNtcYQX1AFJvzBWUEvY+Cq0tbdMM608PDIcgur/KO6KCWy+/yC9/8xtsL59gYqAshamksozQdRC32CwxWIdxqFN+qZkf36MuF6zP7xNjJLcZoauJITA5vEG73eLbjfy+zZL8n5EEX0dhNWpFu9kIKJCCewn6PSpYjInDBfcA0RhcGbOLx0DqDvsag2BjTOZqIjv8/YnHGESLT/8o/b3PtNkvJiidkpmYNuYQ8dGBUQTd66Ol93rGuL5u032+2A867YF7rJbx84oC7GqtyLJ8+DYk/OPnBEoqZfraGBYHR9y/vJQirlbozJIXBU1T07YtlxcXg3FrGSNaV2AFXDWjXV6pJA9DJOKF9RL0lbVif2zsWlNl/ui94oFSqeiZJJPG9wikAOScxAd1XUvLZtJTWy6XwrSwFqP1wIjo27MEhMvAKI5u3iTLC9lpfEhmnD3D93+dRGnAlq8I2Y/n0Wc8Eq6OUsTMMp3NePLkCS5pIRJD0jgV2aeqKgUszzJZsxZz6tSyKGMvpJhLjG/Onjzh+OZNNqsN6+VyuNd9MtK1LVVZkhlNbqVddVtvKIoJOi/46P4DTGa4d3STmLqbYpIzUdcE+7v7tOtUeV6O/bUpAkTx38isBZPjulUyOYJ6u8Z1rbRfJ+3BPoIekgGtaesGZR3RB4piksgMiWDh3fBpIaQW0xS3KpMi+ZhaNunNfHfGsenD6OeyFH6vFnZ3bBFP9B1dvZGBHDxS0NFSQHcNl48eiSFzSl5tlqNMjrEK34kOrrGaeVENxIreMFY+b7duBOfoUixijGiSB9fitLxvcHI+GAXK0JfQQiKsyMUEgmto6rWYt6V74b14lZAV4FpZgUJAuY5mVWOUQmWZgNNa49Eib6UUUTNo//fFaZXmoHQ//PwxqxHT16xaYMoKhZhFQaRbn4v2MV66oxAjYd82tJs19XaJzUqy6YFI+ymFbxO732TS1dlsiCQTqpRTGWOHgdn7iyiT03VrfAjovBQPhAH5261MA3jPbj+/wo7i6iq/yx+fl2MXM/3V3yEd2jCtKrbrNbPD4qnQSBvNwdEhl49nacxKweLxk8e8//57GGU4Oj7GWJO6eYRANMkLXrh5kyLLyJMHzu4ZSJF12HN7Hw6/0y0da1P28/tZbdHDNe3HansAcwi7bp6xBqY2qXiVCsD4nQSc1oY8s+R5xmI+p2tr1sslAN51TKoJWVFQlDkaxXs//CFNs+XNr3ydV7/wFV79wpfSuWmi1uLtEwJoxeLGDX7lb/xNjm/dJKgknCAL8bXPbD+P6YGontTVF6hAkZcVr77+Ju+6yJl7xMFiIXun0VBE2jzHFQVZnuM7x6YoqOtaTMe6TkDitqU7v6RpW/I8w2QZZxdL3vziF7BlyUcPnzCfVBwuFuS5Jcvs8Jz6uEmASgGkgtKpIyPy5MFjfvre+/z67/w2p/cfs1hMycoSH4No1nbdMEaHeX1NnLPPWvzresQBHGeY+9oYDk9uYI1NwyaNLUSz3aUOeNmfPGhL2o45vHGTo5u3Uoyn+PIvfI3Xv/BFtnVNlhnqzYrtesW//MM/JH78MavLJdttTd02ECJ3bt1mvV7jug5rTTJ89iyXy4HUWNd18u0QObZe1ssY+f0Y4wAy37p1i9PTU+bzeQJ/Zf2v65qyLEX2qyhwztEmKdSqqlIHk+Bqt2/fpvOO88sLvvvd7/LSvXv8xm/8TW7cusVqvRaweT7j8MYJ5+enNK5jXs34yte/yvGtm7gYqOZTDm/dgKgo0nrjXCuFXmuIQ7zRE1AlJ5Tbv0eM2PveJz/f63PC3dp1FXQeA7MDJqiuAtT90cvmPeucxjjmPqg7/qzxa8efNQaW+3V3bBjaf298nhK/fYZOMD6z5nB/scM3GC+sMQE52/WS1WYtgGWATAvYqKOg19FoAY9VEGKe0mJwNWLk9CxhY/QVQebdxqXwvqd3swsijUYrjU+ajKFzqS20b8tK7GalCGqnmTdUWJURYHAkc9FvAfuuhkE+GB8M3daDNYSmYZIritJi+00kePGb944IgzN7/7BVdLQx4POSl155mdMP3sUmuQRxwFRkWpEVGcYaTAKD2VEc0qMQ8EdHjSGxqzREJe0QOWII2LqkJ+k6TBBdHIK0AXc9C0WBznJ6x9vN8oL1xRO8c2wvL3FdzazMeXx6wVe+9jV+7bd/hz/8J/89L945ARUwRgkonc6f4LGlJs8sZZGzzi3bTSNtRsaw3tZst+J6qWIky2wyDvIYhYiTh4D3DqU8eSbVueniAKyVBLjXVRlt3DFKGybe49uO4N3AXPG9+2dy+bR5hlKGqBRZUYphgbLYIbwdy06M7vtzcewtUFyZxECSbMgzCB3aWgySQynVQ/SKoqpotuthLo0XwP2FTGmRTIlhx9i/slCq3f002mKUIvoOneXyLFMriUmuwKQ2U6WznQaRyTAxJ7oGU5SU8wM2Tx6yK1bJtRmjU8K5W8hjGidN06CVSoL8bgDTIgFlLW9845d586tfR2clpBZYhUKFjth0ONWA3hKrKVk1Q6zOr95ppRXV9ABtRaOpyEu2qyesTh+KDnlwIsav0jRO5nixZ2JZWQ8zQDUtvmshOohZKtCJIVsftKgRMDwGfa+thNIX7MaA+tOB//Csr9m8htc8jfc9E7Tt789TgAORuPceITFoQvCiA5nl2Gp+pQjw8z/r+Ty0SQWHBODC6DpHcw0E4LwK6n+66nk/5rMs47U33yDT8O7bPyQvM4oyp6oqmqZOhhUCAk6nU4qiTFhQpGlaCsTRG2RvE7M3ATIUCk9Msk3xyuf2R+8ArNjNX2ESSxGpTzbHbrz9EZKWvGisddTbBuecGMP4yOXlpSRkxlCVJVVZkWUiqSDsCQmsq9mcg+NjXGJt/vxCyP69jMPd/yRA+bqk+992/O7mOkM80LOcDg4OeOmll/jht/+Sy4tzNqsN5+fn3Lx9m+PjQwEbu47JbMJkNk0mWT1YmGKekLTYg7SbN5tN0puUorJOn+ecoyzLBDaJ+a6PCqtLyqJkfnyDwxu3EptT9pnGN5TZLtb7pGM/IP+8Hk+dY598KGh9x4XzFMbg0bhWOlWic7R1jVZgCzvEv86FK+O+BwR810rcaqyAyNEPe+1A4oAkkSSJrE7+HTu5tFFrYn+ue8OwrwleHZ9JnzQ01Osz4no5jLm62TI/uU27vmR9/hjtAavp6jaZFCuiEcmgoqrQRUXbNtSuk7gxM2Tlri221zyUmtWum0ul3CGEQFtvBVCPHnQmtzs4fFvjfZeYxTJ+fVvj2rWwcGOgbTt06uBz3g+azsHJ91XwZLGjC55eqkEh7cZZOSXqDN/WCGljd37D+tEXMq8fKcMNj0pRzI7Q+WQA3yMR57acffwONjiwOaCIviU6T9fUKA1ZVVFO55i8xChh+Rd5Ttus8b4TvWltybNCwA3nsJZ0T0f7cETmdWbpXEteTpNp3QhPU/0lXU1c+1xqN4wUQxxEDxZ//ucuQEqgeNaDe4rx9Yzn2xc7I5auaVlfXjI9OBrFwCJP8uD+xxzM50xnU548eMD5xSkQRQJwvcJ3nj//1p+hlOKFF+4ymVZ0XUuRT8nzjCLPqMpCZIMGQCMVKtJp9iCBtXbolJPi6NPmRWNW2rOOMRABPaimU0fAbt8QMpIZOnYj/XLY52uyHuWFGNPO5zNCaLk4v6Cua1bLJb7rmEwn+C6nqxvqIum+moI3fuEXREoGnUhFMtpsljOZH/D1b/4qBycnQ8wYQxwo8EPsytXwdT/W2AHdI7BI3oCsNLz6xS+jteHs0UORRMwMm/VmAFttugci3yj3vGk02hox6u3EA6frOi4ul5ydnnH65JS7L77IL3/zm+Rlzgf3H3Dz+JDppBqAwKuAvjyLzFgypQgKfvTee/wH/9F/xN/6vd9ldXrJZrNkcXIMCjabjRAK4r9FIfo5PnZZh8zE2C9sMa3xCojigaN1kgxNdQWdNNud64ZuvS4Z9ZoxWDeQHrRIKimNyTMOpxXBO6ppwdGNY347+x0e3X/AH/yzf47vZN9p6pquq7FGoZWlbTtOT8/EJ6ks6bpOjPLqZshnvfeUZcl0MhVwV8Hf/q3f4q233uKjjz7GO8/J8TH1tiYrpWjZtR2L+SLtNQ7nPeV0IgUka/EaOi8Fmq5pOV1dcuPGDd5/6wf81m//Nt/45W8IWWC9Js9zFocHvNK8wW/8zt/h/fd/xs/eew9jNNl0hplMmExnVIuDJBdphYwSIq5rKIKmKEp5Ht4PReud0a0e5ukYuN03gXvmM99ft3l6vdsvDD1Lz7eXnhyDvEMhbI/k0K8fV0hoo9/d//3rAOb9cxwT7/ZB5z5OVipJdppP7/j8mcBhjYC7KjFBxxu8sGrB1TVd01JOZ6zXS6KXBVorMVKTCsDVCzVG0UtEpHejb6cZP3hguLGyAMYBeOofjBi8ycDxqdIQYs8+iFirk5h7kxZ9CYr6pBTEZM1nitwIg5i0cY+rCsLcUMSg2Daeu6++TLSaj3/6DrODI04fP6TMLHkCSLu2S4CWuhq8h0DXbmnLGV/8+tf5+IdvMTMCnFuboXsWc27FITpt4CqSDENkU9PpoQs4DiYa2jZi0JhySusDJgZya8jCddqwetDS1VHAiJ6ZpaLn7OF9bGozm5U5F6cP+cPvf58fvP1Ttv/43+PeK6/wd/7hP+Ts0UPO3v8pDiiUSHdoAK3TeQrzUwxqtmzWW7JMU5Q5221N2zRceCeu9VkmLA0E/Oq6Dt/WFBkcHM45vHksRl79FfTyB6k1EOLO6KTt8K4jODF+8Z24x7Zti1LCQDZGAHid5xSzBUpL2S+qUbKf/hiVMT7DDPrf8hAn6r7tUZKsfjuUDVHGp0iPWJsRfDtUFHUat0RDVVZ0bSuJQZT4WcQ3Rkcal9Fo0KCDjCcVR2xPejaUwnkxkVLaoNiQFQWRAhcCJmp00uRVWYYmaZcrkU4wxohKQVuzODygWZ6nOS/GPjhpXS0mJdlkznp5kYwcHG3rCFFM7lwM+NBJ0uQjL7/xBb78K7/G7PAoZTVh9LwTgKnS3YvC4rDlrL/N/W8RQ8vm8oLZwTF5WREjdM0alGF2dJtms5TH4z2FtXjEIT0o0USXZUljspKgpc1bjHHSGhw9wUEwEnDQy6BoJeygXSlp9HwEoOiTFqNSIDOqfDxrg71iJdJHT/14imOAeE/jcqjG9++bGEqM1/1dQNYzY8WAKRmbbVpUjOTlDFtUmKxERS3BmwpPbaLXAUj7e8rn/9ix0EDuYc/mj8QR6N/P7fG1qZ+LbabHN/xDacPJrVv89O23yPKcxeEigb8Ndb3l4uICKQBKZT/PCzbbTXJiJ52bScCwAMfQM/f7tUTOPfo4jMHhansWjBGwUSslmpfsOhT6/bjXRJQ6rewRXedZrzes1xvatk16amtWq5WYrPrAfD5nvpiTFwVFWYpETVFQVhU379zGZJmklwPIo4Z79fOO8f2UgG2n+f9sQHM3534e5vmsIs6179kbDaVs5uzJE773ne8QOi9yTm3Hrbt3pDCqFUVVkhU5IUY61w1A/8BYj71Br8SAzrkE3BmaJtAkLcU+vslslswLM7zRfO1XfpU7915BKcPZ44ecPfgYoy0hRvIsR6u9+fvc7K/XHwJcitkecQeLvXO55T/7zmN+eOE5LjT/eAr32hqMwiifZCRIMaBO4z3sZJ6UIhCSpI6A9/V6ic3ygb0kTPoEDoupAINshNYEZchsLuQANVon4o4Vc21rseqvou/E8zSbS2LbsLo45/H99zF5wc0X7rI8vQ8hUE3mg+Gath0RcMGhVBBAtm0wVUWWGVGRoe9Y0uSFoWtqjNI7Ga+EY+jUIehDxOQlmbES03iJz33X4doW71ryskTZXBi3XZP0iiUKkoRd4QPJBAiCczjvRAO1adJ1a4KKKL1jFimlpZvHaorJjOC6wRcgDp1ECa7qAdX0vcHOTtolUTGgswqdVbsgIl3v6vQh64sn5Aq8suRFjm9bGVtGkZUVWTGVdnZlQAtbP/T7cEgdOAjxxTW1EGGcmACH9IxjkokJMaJNxmRxA1vM+gffDwEYYd37INr+3tuPuz6GDn4///i8HmrYmwYW7jOKeZ9crJJ40YfI4cEhzWY9bBIDaB4jRV7w+OFD3n//fc4eP5T9zLW4rqPtOtbLNbODA4zRfHz/w6Gg+dJLB+jMkJeF5DAjxts+uDn+u9+Xxmy3fTLAlasY/awnOA0SUpB8cABE+zfEq+tHf15GC4GLGHcM+Cj+OVVV0jYdwQem0ylaaS4uzmmals16Tb1eU5ZTsjJnfjDDd6d8+N47lNOSF++9hM2TLFECkrIs4xu/+k1iny8jBCQi/OhHP+LmrRscHR6lZXIcTz291+7uYz860tNL72uLgte+9GUOj4/48Q+/jyUTQztraer6SmxdVhVFLm37PumwE6FpW5q2YT5fQAjcefFF3vvZ+3z80X3uvXKPb/7qr/D47BGbuubGyXHSdO3Jbbv7bLQiM5ZGd/zOv/sP+K3f+3sEozi4ccJhPBrmu3diPJtGKfsA8cCQfm7i5b/CoYbVCQXSNXqlg0sRMLuiGLu/BfzNEtEBtBaCxs6EMq2FWnApbaVoh1Kp+0UAZ0Lg5p07nD55wu3bt1ien6MnFUVmqTdrbt68yf0HD1kcHHFxfoFzsN1eJr8IicPE5yNSFEKkuDg/pyxLsizj7R++zfnZOVoped5K5r8YQGpiFEA5olgcHuBDwOY5XkV8EMmwg6ND6YIPgcXhIX/yrW+RFwX/3n/4H1KWOdrYQRYuBI/OMgJw597LfONXf40HDx7w6PFDJgfHHBweMl0c0LYOpVI3fQxYI11K3nmsNTgtX4tp9SgW3QOCY3w6VrmOgLG/R+0DrPuvH7+vT8bc+8S4vrg2LrD1eUy/N/bvNcbe9vfMfRmfZ3XI7YPD49f2P+sB5zEA/UkdefvHZ5OVGKrK12+CMQbWy1OUb6mXS3TosASUTm38KCLhyhqzuxANmNHNuyrm/PQASOxh1bfTmhTUcsVFW2uNIZLnVhhnWgJplcAKrXUSnQ+pnVIBO81e+fxdK+/4nJVSmMzS4Lj70m3+/E//DTYGHnzwAWWe44MwFRUe71waPHoIap1rhaV7cJNf/OY3eftbf8Ii1yijKLISo5W4v2tz5cEqQU5knUogdR9gxkTvCBGmJ7dYnZ1iuk4GbWrxtem1IpchR5eCY6MUET2YBPmocE0jbFHAR5hM52y3Gw7KnBcOp/yrf/Lf8pN7L/Nbv/+P+Nqrv8F3oqc5/RiwMlSMEvArgcVE2SyLPGc2E52bzWZDVRq6zlHXHU3T0NSio6NR+NCRWUNV5MwOxE1+dngI1gxMxn6xiGlhjzEmYLihaxpc2ybTDk/XSiuPgAtSRVdGozODshnV4gBpR+w3RzXsmQoGg4nnBxzeOxQEAj56lLLYGInaUkxmnF+cU1UTuZ+GK3p4UqXMRNuQtJiqOChvDPNOmSGY6FvgtdIoK20pMSWgIThILGTnHCE6inwKJCZzVqKNFamPft4nN3ZlRCtRo8F6lNfMjo5oVme0dY1POnv26Badc0znC2bHN1kvLwltzeWTB1ycX6A7R+c7ytkR02nFbL7gzkuvcXDjlhjCKWlZB7kkrzKUkbERXEvwHmtlXXHOk9lRi14yV9qePgDvyKo5RTWB4CmnC9AZxfyY6Fs2Z/cTs10qzFqDjzsAP6R7a/NC9IfbdnguWquUS6qdBnqMw5p4XaA/3uCGghdD/vfpjtHmNEA5kZ3WLQmf6oFhQO19gBoDE6PvXdlnEmjWdS3aZqjo8fWKopo+/brh1J5O5Mbffx6Yh7tjH5wUxt6g7/9v8c5DotMnhlqz3W4pygqna0xrKMqC2WyGc7I2X15eJidvYUtEIipJCoAU27zR5JmwEnsvAUAKNwko0QYU9kpVvgeGx2OzX0PGe2CMcWATdp0f2A910yWzl5bVakXTtFxeLgdz2oPFgqoS1vB0MsEUklxVVUVRVkzncxrnKLIiATnX3bT9R3O1UO59SOxMjf058Vg/Lz7pN65UWQaAacywvzpz1f7LY+T89JTvfuc75JkFY7msa27cOGExn5PnOUoLC7LveNJm1wEhoLCAAaJnJ/007WYrxkVty3Zbs9lscF4Kr4eHh8QYMdriAtx99WXu3HsFbIGPcHzjJjGxUkyWsVtjd4F0/MwL0ufx6AFcQCl8DPwX3z/lD57Ic7rvDC9vA/cyMfjTamfqGGEohPSySP18GuLR9BntVoohfbFD/D1CilOSxJECm2XSGWWyVGDdyR8MhdsB9dv7u/96GPOeZn1Os7xABcdP3/ou5w8f8PXf/l2qxQltXQtgO0pkTJbL9RBRVhNxuK6liR6bZeQmS0WlABqMNeR5IfJssS+IIZr8QRLzrEgM/xDxwUuRWWmMiiJrZywR0TuNweOaLV3XoFKcEdMer/McvCMGhc4NJog2qp4kk2onxWMV/ACoZXmJTtIZfbfBzsRKdkVrdrHk+DbGyE46SdC10Z51FagpygmHN19AuUZyGaOhnAyxvTEZWmcpLpI4Pqog8ktao7NCgHQ0zgcKram3G1yAohSjXKIYUGIMyuRoW5BXM2IaP6Mw+Nrjun11DCCj9gfW83KkIgtPxw9XrrefP0+9PAmbaJguZnzrT/6UOy+/SjaZ0JvFZcZycnKCUZ6DGyfMpzOJr7Qw4VWMbDYb2qZls1mS5RlFUdF2nunsAKUCs0pILn34dB3brf93f949gOCcG7oU4GnQZf89Brm5BAj3MVvPppMCg+yDdqS7KUC5tIvofuwDKorUZJZnlJOStusofElmpVNws1lzfn7Opq7Zti12I5JwN2+esDp9wk+++10effQxL7/xBY7v3EabdGeVRtl8N/bSo/QE7rxwhzzLZU1JRZs4uvbxfRjfg/3YkmHZ1HibcXDrNrOPPuTy7Iwiz+maRpjTQQrYvY4rQF5K+35vHNqlTgmttRjkas3LL73AZr3hg5++w+mjR/zW7/0uj89OMcZy4+gAbRSkgm1UAWVkzpvZgnsvv8FLr76BsRmmj8FT50j0DrSl6TqqlCdEaQ66Mrb7UuDPrVz/NTquTGOlPnH9e3aRfhzAqAFUVibNlRCECBSkWzo6T920PHj4mC5JH9osI8aSDz76mMlkwuPHT5jNZnjvOZrPxShOa7I8p2lb8ZJI2FdRlWy2WzLveP/DDyiKgrprcUkirMhz8qokBE9WFJg8oygKAa2NpppUuCCa9YdHR4Nh3XQ6Y7Vc8erl63z1619jenRAdCLHFBR0nXTtmeCpqqkwq63h9p3bGKO588JdQhDt4xAgy7T4pWhLnud0neQZpS7Js4w23cJ9sHRc/NoHcq97Lvuv/fnP72nQdrz277+uB2X33/dKLrMHRl+Xj45B6086zx4Avu66xkxieR/zide5f3wmcPhKfDiKW0I6Me89q+UZwXUy0JOOl4r9hvD0Qx2j7v17jB9GVCNK92hzks2H5EK+o2rvwFGpSHYp0BPFgZ6KnuCWEcBrvBPjvGzXRppbO9IISxsZYQAjrVZkmeGwynjvu9+mVB4fOya5wagehFU0TSvyFDHgglyjTZqh8xdf4s1f+jV++Od/yiyLlKWhKIoUUJMYtzugWqekzSd2bA/8jA0HRPdY02xXwnqNHcq5BIjLBqLYMfNgBwAqDd7FlFBKA310nojCecfi+Ijlk9M0cDy5UZjcUuLo1pfoWy8wPTjG+hp8LZsQgaAUQRthBinQymAyg6Egn0yYdy31Zku93eKcuPUObf7BY4y0Nk/mUw5PTignc+jPWZ5m+jpC9MQgG1/XbXGNMJJjiHjn8T6y3m4TeyFSVCXVdEJRTlEmo5odUlQzAT17auwI0Yr4NJ7UM5CDz98R+z+UgBEuRv7g/VP+559ekOWa33vjhF+/OWN6dIP64lQW9jQ/BawR3VNAdJi1Fga41mIQ5t2gIRZCBB2wqdhD3BUiVEpsNRnKWjRJjztp/qIN2mZkeYHNcrKyRGWFjKNUIBmP96AUQUnBwRQLZvPb5Ae32S4vsFnJ7PgG+XQh2qdaCxqV9Ke7rqWtt8LCDQ4dPSr6pNOp0RiCa+liSIWVPniUz7dZhjUGFxNQNxS5dodWkWgzDl96ncuHH7JdnXJ4+x55JW2oAh9r6m2L0hYf3MCuIQogNqxZMYrBjhajA6ISXfce/I1R1kj6Gb4LZIbzTmvEPhy1+/7VIT1sNOPf3Rtbsq7sCm79unFl/A0/hJ0sxS5Z6KOuKxXffnMkze8YdozSrCArpkNxRi5/BzIPG+4zzvm5OhQonVa3KGzrmAC0JHDCbj9LL/iM798fUUEMkVVy1fZKDNqqqTyLpm3wIdB2HWfnF7gucHJyIqYxzpHlbgAR89yiVMAYTe9bqBNo0c9jo3ZaWOOAS4/GSD/6AqkIFfrfEyahD7v44+LikqZxbFY1k8kEc5Dz0x//mLaVAmme55STCUWSldDJfLWYVORlxdHNWyibEZ0XG9xPcyt7cD1CVJL4xuBRVg166s/KKnosIabX737nOpBhNDfYz9OuJm3yVmoHacTI29//AZdnpzjfUW9riklFNZ0yny+IIVJNJkzKEh0VRmlskvvqi+MmSW0dHR9RTqacPnrEshN5Cd95tFbcunsba19EG8OHH3xAi6MlYrVmdnSMthZUxCjF5ekZ27bhwIg/AIlBBoDuO8N2DIqn7sZzsvfK2rV7PgFYu5iMboXdaVUfz2nAX3n9Tod7xObr4+MBvZf74Zyna1qC0UlObbd2AqKprQ0mL8BYiCLV80mJQByC/X6dHhZ62u2SdnmOcjXLyyVRa37hN/4Gi5ObxKDIsyqtzX4ARwcWzSgnEKNRT3QOpzuKBHqG4EW+WBuyItslTQioarSYz0XvxewuFUeNyVIsLIUlY0c6kb4Vf43UnUgIMlP6NUgpMCJtg1IYIiYK6KyNJXqRL9Mh7flpaEo8qHeq68lAV5kUc+wllLJHjbQGkQKvcx3GtxibD0UFpWBycEJRTmjOHwnon5YUlQL3pu2oMiteGiRw2BpsXtCGTp5FV+PPHmK0olsvCVFRThdihtTUxBjJslwY6EVJXvYyWWOA4+qu+qmWyCgrUUzr4fODMfUdd1dz189SYJaYKq3IQbE4OKKaz7k4P+NGVe2AuBDY1ismsylf+vrX+O5f/AXdpka1I/lDnVGWSUZPKTCWqqi48+JdLs8ek+e5gMPpHu+DC093jMohZCVhytvez2N07AOk9LmmfDMZxCa5xhhxXbeTTvQe9lqsr7D8dDKG11KgMRgmVYXrxMOn6xxV5cWsCri8vGCz2bLdbunalmlZUlUTQlOzPjvlh3/5F/xC9k0Ob94S/W+GlevKNqmA2XzWh6W7bfoZ+8q+DuluPo+fs+AdxljuvvwKF6enwoi2Fus9dS3SiVmWDaZVvayV956mbiiLInkZQVlVEGMqzHsWiwUPHj3in/3Tf8rv/b2/x0cffUiZGbSeDybbKs3hozv3mB/fQOe5FL+idPb1Pd/STKI4uXWH08ePODy59fTcHhdBrr0r//91fFpguM/Zdnvn6NWxJ+4AMbG8bY7vpFPrwaPHPHryGKM1y+WSzAhZr5rOqJsGm2est1uKIme5Xgm7XmvOz4XUVU0nAq7WDX67FUm45LuRlwU3bt1ks9nivIPM0gTHdDLFGM3B8TExRk4WCwAODw+Zzed0ruOV11+jazvmBwuKsqCta3737/4uP33vXS6XF0ynE5Q2tF3Dx/c/xjnHtJpy4wSyIgfnyYzmpXv3Eq4T6JpW9tSw2wvHSgCuc6K/PZIqehaQOpZQuBIrjX7vur/3v95/tmMwd4xVjmVmx6/fZ/CO33/8mh6z3D/f/fcbX9f+uV1XwNv/nXHX4mchRH025jCjRfapI1Avz+i2G6J3qBFYsHulAEMiTSFGLyEFb4KDKkJUA8t0ACySi3D/Vn1lsus84ikXB7q3MWKJ02+MOsqDMFqnBVc2Mo2Y4Wkl5hZ5ZgXwMSkgTJoxSkdciEQyUfRUJgWfGh8jnkBuFASHch1lbmm9J8+zwVCDkMz3jEJ5MFphiowbL7zGycuv8v0//hfMrKOa5JSJ9SEAWEqgs0wWjp5NlTZhaRvXklQlUznR941DVTBXAUPSyUku1n2QDhKQ9J8TQ2rTVQqtM3zQqDzHtdJ+Nz845vLylK7b0rQbmlakObJJTplZfvKdv+TsyTnYDNfWFFbSHx8VupqT55Zmc7F7zikZ0laL6dFkwsx7gndDcNHr9BhrKcsSWxQoa6UKwqhalK4peIdC/u7aTsxz2o4YRQuoazvauqWpG5wTh+nZfE5ZTYStXc6ZnNwGbYdxq5R+atDrlLw+L1FuD2yK8afnrbMN//c/fsBpzEFF/vTjD/m//e495pMJyiisNoRWgD5tMxQa1/XSKxFlZF45HzEmw3lh7g3aQD2IO4A5fSaDFIxAHMxJ41IbDg4OMJM50+MTQr1F24yoTFpLrLTrmExYQEI5TCAxKCzl4gba5qjDG8Bo6dnhkhI8GQMmo7A5uc1w9ZquWeG9QiuzA0djGntaJFf6tUqjBjkbWxTSohY8OkR2odcYADXYYsbRC69Rr89p6w3RQzaZSVK3vaTZnIk7uHc4L5XfmBzIY0L2B+3mBMST5yiHaLsloE2S3DgkqYJz2wEsov+uGgW3elfR3h814802wjDXoE/uPSaKZEggDnMSpa7ch2ErGILv9C5pjETUDomLqT0u6qEmo6Kn3ayIrgGtsXlJXsxhaPUaJ5+jo/9GX8jp/z1cx+f/6PXtdiiksLv6luargdBf5arU8JdKzy4vC2Ga6I48K4hFZHW5pJpO2DY126Zms9lSb2qapuHw+IiyqmiaNgUzIen4ipldZkVXbEgESd0dSlTtn6qUDwlnGAwoQgJjQJYU2fcjbduJy/PlkrpuWK02eBf52Xs/Y7PZstluKStprZvOZsI2ViLFlBe5MLCqitnBAQdHx0SlyXKzt4B84p3bjbsE0llrB9C+/8F1W0VUI5rOUOpI8+HaykYcDeM+lYtDZjr8qpL36Itz9WbD97/9bdptjdaGznkODmZMJtMhgDRaD3GP1VpAMJPen37Pg816w+npGcF7uq4jeNEuJUZOHz/i7OyMYlLxzV//dQ4WB9i85Obt2xzeupnOUaGCp9mssZlNLMdRUWtItuMVua/n8YhxvLbKhVml+N+9Mef9y8c8Chmz6HjzwGA2YBFNWJ1aFPtEoj/6uR4iZNbinSMo2VSjljkTXEt0oG0m7aJIB4q1BcpYdFkO+ydEMW7b27N6EgHjghsjYBPwbku7PCO2W9rtFmLkzV/+dfIieVX0aIySPXAAQ4c1OKBiRBlNlgsoKoxCT1Ov0MaQZwUhaefG2A2Fo16SxvvUCp6KKdrkyayWVExUUhDWEtMrFZPhWrreJN0g5QnR7SfpSIJCmSTlERzaaHyIWC0FEWOzdI/6MapE53j3tFCpdb6PU/o5uWM7yW9KYTxJbG3XrJ98zOTgmHx2hLGFALTaYPIKOzskdMmdPqR7qBSTvOwHCSpGQgRtCopqQZZP2G63lOUE5Vqa1SUrL9Jv7WZNXlVoBdrm6CLHlhPy6QFRiayeDI0eKE3zdDfKh79DL0myn/ul/fmvtj/9b3cMhQ2lUPRFDXaIIPtgxZULH78ThCCEA2V4/c0vEEl64bkYGV9cnPHD732bTGtuv3CXV19/g+/9xV/SXK4ESFSKPBES8kxk99quoaoy1stzyirHmGTo7rmyn/Zfj9fTq8UmIUlJ915ExZ0U0lNMWTVeo+XfSbp3YL9674dHbhJLdgx+9EcfT/b6xzrF2sYoqqpAA5vNlhhzYvRMpxXed+R5xunpKT54LlYr2uC4c/c2My2s/nd+/Da/eHBIlhc8a8yZYZ24eq+uO/bBmmftSX3Mq5RmcXRCOZngO2FkN9vtUOgbRsUIdNdaU5SF5BWpDbxncmdZBhHyPGc2n/PBRx/yb/7kX3P37m3Ozs4pSmFGZ9YSiLi24aP33sW//z437tzl5p0XxOhaKdqmwXWOsixEqicETm7dwseYOocZ8unx/ehVbp4XQZj/LQ9FAt9HY2/8VR8OCLYQaDrpsHlw/wFv//BtlDKcnZ9TFgLCAhwdH2G2W5ptg7a7ubfZbmm7lslkSgiBzsue64LHKM1ms2FxcEDnHZfrNWfLS/KikLF0uOD4+IQ7d+9wfHyMD57bt+6wmM2o65rDw0OKokBrzTZ1BuZFTt3UzCZTfPBMJhXv/OQnPH70iJ998AFoRZm0sDNjuX3jJm3d8pWvfpmTWzcwXUdmMzJjcdpR5EWSS5WiZm9o3Beshs79PXBzLNUAzwZ4x8d1jN1n/fxZRbXxurjPFO4lwMbE1/H7jTWJex32MZt4nxx7Hfjcf398Hfvf3y/myXu7QYbv0xyfCRwOibll9hbGiCJ4x+XZA3zXomMUUAOubKQ9sKISgKlUn/juNlcxitsBClYnELYXcd6rEghgIq/NMmEWGKXRVgDRGKRdysluCUBus4HJS4zkmSUrMnFgDwGbWBcqRunUMJbp4gbN8kLY0EpaX3IFxshGnGcVwUfaru1toXatOnrnNp9ZzXySYcoCpeDdP/tXLEqoStE77NtmQ1qoMYYuvccAgEZxF9ZJk43kPCyFKAXJQ0E2agZHTe86BnAopjb1EAjOgZaWW+8dRVERosIFzdHhMY/f/xn5ZMpqs6FzERcsF+cNq2VNjGDzTO5Zs2H54APe/PpXuX/WYk0++Dm4rsEahVUqaUzJIW72mmgEcDPaYLKcrJIlVKpJZjdheqDkyl8C0qrYu9V3eNfStcI6dl0geDEcWV4sqbc1dd2KQ/t8znS+IC8rbFUxPb5NOT9GNHCengO77ymMVk8tLp/no59/ISgebBo2LiMaMEFz2UY+Xm2ZuY7oOrahwwWYFhnESJe0JZ1z2DxLbG5Z0LUWmYfgumHcarW3RsQeEOpNcOxQPdV6ZN7iW8L6gqycgLFoY4VBYy1ok9pFU3EgrR0heLJ8ghm3jsmHAjKOYg+qkNYm11JvltA10lqlRNtbxYBra1xyQpcx2APQfaKbKu8+4luNNVb01YIA5Gp/VU2BMyajXBzjtxt8V+ObNa5taZsleCe6hTEQXQorUoVZKZVE+X2fm426JEy6/4mNqXtnc9K57tgd/bEL8tPXo5ztKkstBc7pXg5AFAABnKPr1rRNS7dt8On1EVnXtdKiW5oMSLTR2KEKrNFWzMBCj55Eme/96u+VOC1roNmuaOsNWhvyxTHTg5soK7I1z2LwXKkMj8ZDf2+em2MEzPf/7hnquyLq/1KfBUTF7bsv0Gy2fPSz9xDdz4LF4QF5XRCJlFXJk8ePqbc1q82as4tz7t27hzGGLsuk+wQt8graEnykKAxtECfuYXyFIDzJOAK+AD0yViAydAoQd7qGIRVL1ps1l+eXbDdb1ust203NxcUloFiuVqktPWe+WDBPTt/VVJyXTWbIJyXlbMLtF1+QwlECoK4HZ8dHHMbf1RuorrxmeG6xXwjk2pumFZBaiyxW6k3oy+j9w9glEqP3izHQuQ5rNO22JkQoqjKtAWlsjE7i8cNHfPj+++Q2Z7PdoLDkecnh4TGZLQbtSmuTsVxincYYyazBOVnbfISuqYnOUW+2w57gnGOzXuPajpOjY05PT/mLP/lTjo9vUM3FdGRxciIFtIS7O++pkov2ZrOmLCdYa4Yb3u8VzzM4DONlJ8W8MfCbt2e89ncKfnZZc1RkzD96wHrl6dpIXuRDctFrOse4k1CB5JORtO+03rlSD47piE5f8GLMbGwiGhgrr+1abAITn51c9UDXMPLSngMEx+biMaFesb04Y315SdO0HFjDtLhJLw3SF3ogzZMQerx4eN8YE9CqlXQRpdcF79n6LXmh5OfJr8ALmpOmmsyTvlCG7lmVEDFEAyr6IWcZs3BiKlr3OUovhSUFWJ8+RzpV0CaBuh6FEaW0fn1KRa/I7pqUsWBykZWLXmQn9hK2KwXXYU/WGKPQMVBfnhKix+Yl2uQoYzE2w5oC3xfO+g7D/hmykyKxRUlWCJvLKEM1NXTNBlVMmVQHLF7KWT9+iNYKYyWXMDbHVhOyciaA/icN7P5zhzUw7goCY73kdGbDGLp2rH0+jyHqicNIkVxjb8PdT9b7Z7uta4osR2sBa2SMGo5u3uDR/Y9Zr1YcHhUpPlUo7+m2NT/93g/Ydo1IJBKpUm5Y5AIAB+eIvqUqLdMyw1qkQ0eJLEDfZSX+Ot3QiSljWACNsiwHCZr+GrRS+CCSSteBL/1z3m1pkaws8DHQb+TeOYIXfyHbSyKSijphXABmWCfEaByZh1HkFIt+qUn7fNu2WGuZzWZiIq015+eXPDk7Jd9k2FxygvnCsrk458GH7/PSK69LcWh4TlfDwD707O/bM7H9dFynATp+5iPcHGMzTm7dpmtEM9paOwDLwtDPBkCov/9KC0vUJmC4lxfK8xylNHkuoNvh4oCfvPMur7/xBo2LNG07ML4lBw64tmOz3vDe2z9ite342i/9ElrDH/3BH5Bpw807t3ntC29ycucOi6PbmJ5okIKN/jpkLMe9GfzX7IjDH3vfe/p4FqB47UvV1e9JB61KEmkJz0kYVS+n+pu/+VusLy8hRukiMYayKHj9tVdBa95/912axECv65o8z9lut3zve9/jo48+IrrUSR93gObp+RnVdMLxjRNu37nD4dEReZHz2uuvcfv2bbIiR2mDa1vKsiT4QFbk2FJ8f376wx9x48YNJpMJ2/WGjz/+CAW0ruPb3/0Of/5n3+Ibv/wNrFLMpnOaphH1gM5x9vgxR0dHvPfOOzx58oiTGzeYzRccnZyQZ5nci5Rnu2u6CMcmc88q4OyDtPvP5kqR4xOA1mf9fAyyjn8+Lnr1uGT/u+NC3HXvvX89Y0LsvvzEdWPuKino+mscS27s/Is+3fGZwOG+gVVWDklhpBIO7XZFu16ig5g/qRiuzq1IqlL59Cq1W5n3LqynkPcag7bfSGwy4YngXSB4h7WBro14bwaqttZawGAVpB03BBRB2ly1Fip7OifQ5Llor3kfKHIrTMFBNkCjomZ59oQ800ynJVUlQbVWEec72tjRNGsOb93i4aPHZG2Nd40EkDpVGnPDdFoynU4oc029rek2G6alYTItpYU3RgHWgzgzy0KdBqROiwnCwtAJBIpBDU71Wulk+NVr76YW5ChfiwSHaELKx8hzCEh7uvcRYyXw3bYtxy++wnq5JrhAW9fULvLal75C3bQsbr3IT370NtvLMy4ffozJMhazCaVqePiT7zItRMNQGw3OEUON26QNDNF488lMxQyLA3Kd7Fr6lNaEfhIkkECiyzAA3CE6ondEJ9rOznUCVDrRgJX/OzElWm+oty3OS8A1mUykMFBWlPNjju+8gtHFlcT6aqLffyMmTPr52CgHSE9BJPC14znfvPmIbz0OBN3wlaOMXziesnlcE7oWj6Y6OGGzPCM3Gu93ANQgDu9jYr4J2zbLc7q2TQBFWlD7ZAwJBEOMEtzGSExVawVifKQkCczzSpxhbSbJjxEDOmUzAYe1kTmQAnBxdZ+wKxX0Cyq7fw94aCC4muXpQ7Rv0Ml00BgjybRrUUSs0QNzUfDkmEDP3pBGo2LEtw1kSHEmBILvMCbbA5RSe3QqhAQvAUK7OmO7OicrJuA9vbKxzmRZVjHQQyXBZimZDUOL6tXqpxInUpVA1jSPSMl5v5aJAPCucs0QDCrGm9XA7lU9XriLqiMRvDB5VxePpACXdOFIzzP6SOM9wXva4GmbGqN10pHOh7ZorXZGokVZkuVTlLJAJCgvZkJtRwhemGTFhOnBbbStPluQ+kkB3Of8kC4L0e7tmaAxhiv6gJ+AYH62IxlWKmOIWjOdzWk2azS5rK3eM52KzvN0JiZFq+WSoig4PT0lxsitW7ex1rPd1Okmb8nzPIHC6ZpGvgIqrevjLpCh82BIuHbtzFoLgy+k4smTJ2d0Tcfpk3O2W2lvX63WeO+ZzucUZSng8HyOsYZiUqGtJi9LqsWccj7nxVdfIZ/0Lb7Sfvlz7+ge6BdTgqHGoG7SVgRGC1IqWltF03T4KIBgD0ANQFMCwIStlnbqKGx917ZcXl6w3ax58MFHrNdr3vjSl7jz4kui6ZquIwIqRv78W39Gaa0YrUTZX4+OjlgczLE2oyiLFOgKyJDl2aCv2rOChbktbcJNvUUrAXittRjb0bvTP3n8WEx00SgvseC7P/4RdVPzS7/6TTE56Tpc58gyi1Y6dYJ1wiQeHeOWuOepEPusQ8IHTYbi3tTy4jRDO3jrO6dsE7NM6fGavZNf68fPrkiU/kjgXJZl1LUY7HrviVbY/x4BO/vWdlxAmYBObN7gwxUI+Oo/RufN7mNdVxObFaFt5PlnGZO8YH5yE5UV9OatssXsCh0ojTY9oCJdLz2QprSFXpJFaayVmL7ZLCmnC0xWjE4rDicaNcM+Ntb61VlG29ZEIibdt7Fc1nA9A5gcia6jqzcDiBZDxBEx1QJbVHSrs8TkTeQNmTAQk0xbWghiDMROTPTEOFrMOeWzk+iS2t2fqwmnpZrN2Swv8NuVyF9Yn4psHeKFsRsP0pFvUmFYnn1WVZi8ZOgqVIgm8XRBXpZcPryP7xqKxYKmaZgdnGCyUmIUrVDRkHqk0u0eF1ZHt79/GjF1+yg1rIP9IJJiXhxiePnp87L7piOqp874k8CE/jCZTYQJeTYhdBCh3W7kOfXmaSGwulzStY5mvcJ3Da51FJMJ2Wwm0gwxEKIjuEhuDMZmVJOC2XySCnqJlRoll22ahvV6zXK5xLkwgMMmFQCLsmQ+nzObTtFGDMyMNrvOtWvAiaE4lL6ntcZ3Ih/ZD4m265KxlEbb1GlrzbCGDYQLrYZ8YPislPcb3c8pEMZ2SACySqBpTlFUxKhpHz1ks9rw4ONHEDTaQ9F2fPyz97h56zZFNR+kzPZ3kP7fw2XFHqSRn+5f/z4gcy14M1ruTm7d5cH9+2hrscbijR9ApBjjFXCpf6m1lt5Aqo+Zs6KgLApc16GNpu4avjyb8su/+Zts1yvO77+PXtfkpZyPc462cbRNR2U0TXD8k//Xf8PZ6Smta7hz5zZZZmhfe4XF8TFmyKdGN2IP2RxN3782x/D8hz+u+f7e9z7NESHpwiu0Ap+Ml41WkMTgXCsFEaUVVhm2zYYbRyfcvXkHFSV3UtpIISh4zs/PWcwXFF/4AllZErqO0ydP6LxnOpvx23/v7+Gd44MPPuBf//EfM5tOeffdd4cC+8nJCb/8zW/yymuvYqwUUZtGiFAXFxccHh2B1rgQWC6FbPH2D95ivVxS1zUffvABBwcHNJsNi9k8aRM7MVBcbejWNZkxhKZF+wCxoywKZtOJECZTwaqutxRFSfCeqigJUYwifeoSHwOx1wHCP48IBFfn47NYtvukg+vm9hhkvY6lu2/2OfZHG7//dUze6865l24by4jtG9j1nzVmV18xB+Vp+Yr+eJas0HXHZwOHVU93HkUGURibm8tzwqAzlNqoEhPMGk3XygXHEAkqNSALffdKNU6pXkR+B2IMLesqEhMBOCSWa9s6vBPtYbm5MhE0EeelFWxo6VIQgyfPTNKyE5DJey+SAkY0zHRqs+6lAwoLB2VBUWZYpRICLw+uKgpildM6j88Cr37pNR68/z55hL4lr8gVWWGIxmLKOcuLM0ymyQrIslL0ZrzHEAb9Zt1rNCklhU+lCdoQjGj0uvUaq1LChrBBVHJnjTE5ySd34uB9MsfzO8ZhovDHII7EwkwRQ742QHl4g+Pbd/nJd78NeJptQ8xnHN64jc4LlIYv/tI3+MGf/Ql//D98hOtaoKDMtGg3p+foncOi0FbYF5gMlEXnOflsgd+uiW2D6jWdtYIsQ/V6g+l9+tAsJEYniRUeoxcNOSdSFMSI7xzBCyjsnadr3QAMb7ciJ5GXJZPFAlNNMUVFVlUsbt8lq6ap0ixjfLdY9IHCXmvkc7JdDqlUBIXlVqX5v/zem7z9ZIOLgTePKm7nGW/1BkFAd/kkuX9LpON92BnlJM1rlKJtG1mIUvtdL3kSYkz9332hSKO1JUbZCLQhgZ8RbJYCKAM2w2S5tDhmuegHGivjNLl/S6Ekgs0pJzOUHgOycr6RxCZvt6yX50lfuAHXMp3MQWcpcZPr6IHh3uk7xi6xdVNrqNKDAzJJ/iaqSNfW5HlJiBG/XUqShenzdmFiry+pFicopSkmc1y7ZfX4PllZiUM5iTVwjQOTVtKeGpQkCOirzI0eUFKjdVQccyVKjWkdkTuT9IbTNfdjYxjlSg8FkGEbGW9sqePDB89meYZvOibHJ5TVAmOtGOpFWcdCcLIGNN3g8IqxmLKk3W7oNpeoKC1wMQba9QptLujZJMYaAkoMCfOMfDrFVkfYUgwLGd2DTzr2K9HD15/4qs/P0ctK7F/HOIn5X+pQCkKQe3777l2a9RpXN2JCVhRU/VgzRswSleLgYMF6tea9994jz2Qvu33nLvP5jG29JRKwVtN1LTbbsZSGdqlxUH5NgNazjPpHLoCyyCG5pmO92bK+3HD65JzVakWMkaJvm1ssmEynHB8fU0wqNpvNAIZO5guysuL2iy9RzQ8IauQc3P/5Cbe2B4Sv4CYRVPQ472i2G+p6g+tauqal69xwPTbLKPIcm5fUmy1HJ8eYqoQ0x/okegeYK1zX0DU1F+dnnD1+QtfUqBixztMul/yrf/4v+J2///c5uX0bmfcy/1erFR9+8D7vvfcet49PIAZefOEFjo8PMVZhMkVeWIpC7gsk4y1Ia38quHdd6sTS5NbgfEgtzA4f/MBszYsCHVMrLBEVHZnKOXt4n7/80z/ha7/8Dc7Pz1OXUjkABXmRpyx9N96ffe+fl9kb04rbFwbkmagYMShpM6el3lxKV05m8d5hgnSGafQIHGaQjpD3ihCldZQ0rqoiRyuFA1y7wXdJ4qTIhnumjSb0e5kPA3Nn6DgZn33a6ogMhWATAt1mSXRBTJW3UigoFwtsXpJNF3TrpRRW0/qkE2iojOw2igQERTGIE+k1iSFIhsghIgXhEIhJeqoHllCkYmlEq74AnSaiyTA2I7YNJoBSmXQEdW6IqWXT24Gz3neo4NluVhijKauFdKbgwVbk00MgEJqtAO1mt7+PSS67tWzUbRQDiuTXMEhsqaHjcZ8FFJVGZznVZMJ2vcJ3nZjY5iVEMQAdTKjTMHBJek1nBXm1EFLGgOLJL0XV7/2WvJyAApvntF1E2VwkuxSAJvSvSWM30k/N3fo4XiNlX+oDnt1Hg8QU/T2XovXP37M/X8fVtWYfzL/KPNut1ypGrJE2/xADvm3p2pr1esnp6RlvfPkrZOUEj2d1cc6jjz4kJEOps9Mzjg6PKMsCHyJd9HSdE3O3zFLlOeWkYjIpMVkydI3CQvTOs9msWa3WbDZr6rqhrhsxmc1zMUbLLCGATYay8/ls1616HSiaZCAlzu8Z4ulIg0MrRdPtYr2+W9banY9P/55D4Ws07sfAidaaaPsOHoVSM7RWbDabgTWsteb4+IiQgLOLiwuauqFZbbh19xYYy8OPPube67MRspnWnysxBnvntvve7twY7svutZ9QsExzZTKfc3zzBg+bmugDLgHcbdtenfMxDsX+fr2X7jDBGrJM1kmjFdViypde+AVu3nmRW/deRYXAxY0Tfvydv0A7ye+bpmHbtAQiPgaqyYQ7d+9y58UX+Oovfp2bd29z8+Zt8umEqA07catnF8V7ibfnu4/n+kMe7zWarZ/mtXtjoC+UaSNFGpROcmhCGGjbTkyBo3TfNvWWoiyxCb+Krhv2y+3FJX/0r/6YBx/fZ7kSEsbF2ZPhMx88eMDp6SlHR0d889d+jaZpeOP11/mHv//7uLblH//7/z5N19HVNRopPNx/8ID79++TVyXLiwv+9b/+N2R5xgsvvoDRmrppePzoEV3Tcvr4CUfJWHgxm7FZLrl5cpJIO61gcNsNi8mEerXi+PiYzBiKyYQiL1hv1wTniVmQpqHgscZQ1zX1tpY839in7vR+YeraItXevR8/u/Ge+ix2bf/1UzI3e2vS/ntc9179+Y4lZ/ZfM37P/aN/bQ/y7jOK90Ho/u99UHj8/X35oM8CDMNfRXM4Cj15FwFE8B2bJLkQeq1hrbDaEpN+SNcDNjHpVtG/D+kC9CBZ0eseCltv16qkQkygsGidNm2NcwHv+4WfQcOjb53p70dZloQY6No2MZL7JNWQl2Xa0EXbWGuDymSBns+mop+iQ3KBVYMLef+hSkGWHJj9+pzjgznb7QZsiSZglce7Dt8FLs/uo4lU05JKKXSRDxuF1tlwj0MI6KSDrBGATltLVhSslxfkShGVxtpsuIdj0MP1IHAIogfqBDBVaRA77wAJUK0yWJujtcV5R5cZbh4d8bO3f0BlFUvX4rXm3utvYvOcZrul62q+9cd/zHf++J9z52DKwXRCmdtUfdZYrUT+AgkSBAkUxrOA/A3u/DHWaJSKRC3XGJIDu7RemGQaIs8lBGkzj1H+FraztE11/fWltiXnPN4H6m3D5fmSpm2pt1t8CNg8YzKdUlQV86NjisWc+a0XmZ7cTQnDWAcyjc+kodcHfjt26nOyVQ4BXX9dhkOj+Bu3FpIIhBQQeXEJFb2rjJ6FFEIU6YhB6zQtrMmNWClFSNXRYZPtn1VKXouqIqLwzqMyi2i5BdTkiPmLr1CvltDWGJuhbYZOshIqtXWitLCLlLQ3Z2VJXs3oZUf6Y0g+QkezXdHVNSp4CqMIKkdPFqgsQxuROBBwssMUVZr/ltA1Q4AYkm4gCkmmezZbSvxjiLiuQdsM1zaYtkHn5XCvo1LovBwS4hgczfoC123IqgkqesT8cGTEGcXUI4SQKoSkYNEkaZ1UWRxd9W4sxh2wtF/7Hu7T1c1vt+FcTQCvS+Fi+kUpEBhsVtClSqctJ4kFJl0ixIAtI4Wxg/Zjt10zzXKYzpKchsiRtE2D75qU5ARieu+8nJCXBbooyaeLYe3+NMczK87PUXIaUpE1pZ4AZLZfj67kXf92RxwwE1Ca2WLBjVu3CG1Ls91iM4txhsl0ktiilsPDAy4vLmnbjsViQXBeNGnPHjOdleRGwMY8lySUUeBiUiudQpEXBW3bXgl8hsBMq8GMJvg4FJdcYjzeuHmDR/ff4p133uXWrZscHBxQTSYcHCxAG7Iso2lbZgcLJpMJ1WTC4uiALCu4e+9lDk9uEtADFqzGQ6M/n71bNcwiRdJDlfnQ1TVnTx6yWa/YrJeAFLEzm9O1XkytlKbtWrIsSwm05vHD+5STijwvKCcV1Wwm/gNWTMM653nre9+VYpfz+LZDEUWPru2Y5AXWWP7y3/wZf+t3fpe8EtYgRH78o7f58dtvs7y84Gg25eatW9y6fZOqKtEastwkZre0LHvfG++oZNoqerAKRQhOioGIV4N3wvJ0ruP88pJNXUOIFEWOyTKyPKfILFVusUVGV2/44L13sMYym8ww1uCBxXwB9PvK9XPz+WQP9zFZDyzsvtuvspGnGR6695MYrfC9pr8cu1bLEHYGdjbtTUYbou616mQ/GPbtVJywmcTnOwwx7VfX3f+hOBMJUTqz+vkpMVVONT8EhBBgTIb3Lr1WjUxIx2BzpC889NdltMHESPB+KDJneTJa6vc3pVIBMiVG/b4qb0BeTmg3a0LXDEByD2wNkmZ716yItE1NlufkxQRlcqK2ZOUEW87ELGz1GGOloNyTOPqUfwei7YD6HiQzoyStz5yu7Mpqty/HGJOXiMUUMwpl6ZoN2+U5xibPDSNF9qHjRwYMPlhQhqxQ10+hFHt09UYKBomxmeU5PgR6e+deN1X+Gz03rv77yvC4ElfEBIPsxx6793le9t9+/vSA4pjJdi2DbfRVv5coH3j44D7f+c5f8IUvfpH54oA3vnyXvKwAOH/0kHd//GO69ZbNesXFxTlFUUlBIEJmFNEojMkpC1mnZ9MpeZEPzNMYZW/sWsd6vWW1XFHXW7bbhuVySYyR2XQuJq3G4KNIDyyXa0CR2YyqKoiJPTy+thCDtBz2c2Y/pkoF3ogw8/uOPjGAlbkbiQN5QcUd4GMSIHoFuEjvb4zMpSwX7XRUYmJqjTHtkOPfOD6BENiuN1yen+Nahy0zssmE08ePePG1N/eezfj5jj9WPfW9635v9Irrvnnl0Ebz4sv3OHv8KHXKZNIhkyQmYhR5iaZJHRgjWSvBFays0zGCtcwPj7j50gv8N/+P/yeZ+S7/h//j/4kss3gidSfa8SEIS5wIbdviYsBrw9/9R79PMSk5PDpGm2wk89Gvyanks3dZkvPurlg9H1P3r3RcB/T+lY4oK2lqAkIpMX6NMVLkGd51uK6hbQJ5Zjl78IDOebq6Zn254s//7M94++23ubi4EImgLGM+n3N+cc58NqVpakiA382bN7m4uOBf/os/wFrLD3/wA/6r//K/5M033+TtH/2IO3fu8JUvf5mDgwO+/e1v8/jxY7q2JbPZEIMHIo8+/ojJZMJ0MkUB3XbLydER1mgym7HdbAQoTh21zom/SPCe+XyW5AO9+FWEQL3dYJTIb8YYKPICoxXr9YqTm7dAi+RpwCd85Wqx5Lpn8FeJ/54qvo5yjJ93XAcO77/+Wec3jlevYwrvv24/vr3uc6+sy2Fn1jzWMt+Xvhkzmj/L/fts4LDqmUq7I8ZI29b4robEFFNRAJO8rATAc25XZSaZPwzW3JLsJfgtMfNS4KVVAjF7qQnQOqLwNF0jAZSVVsc+ntG9UyuildcFSTzr1Uq0glOypVOALMX7kKphwjjuE5TZrJIkxxppyVJ9xT6iB3M4+VwVRWai9Y66cyzuvsG9L36NiycPePDuj9menxFdCyFQTQsx6SmEZWWNxVqd2tEVITqS/FkKaE0KMjx+s6Q0I3bRKIHQCZgLQYJx2bMVwQW6JhnNGWkfMUpkPpquY7lcM1to6tWWy9Wa6c0T3v3h91hMSpquAaWYH51w885dXNfx//3v/msevPceD9//GbeOZ5S5Iss0VZmT5VbM/aISgyojjAYBhjRajyq3WoMyyTW1T5MgJoZVSIZlEcB70aPzDu+lvZkQkoyE/B+8H4DlumnZrEWDst42bOsaFExnUxaHCybTGdV0SlkVHN1+kZMXXxVAstd2ZhcQDEP+ytx+3pJUGJ+zJBQKYkBHRdQCgJp8kip5SXYksVRN0rNSKTETkGPcNgr9ZOj1/yR5S7wpYwRo0MIGxTt07BLTZcLm4hQbI5kxKGNETkLbxBi2SddPeMatc2RJFy8qSwpprjye6Grqyyd0myXW5iibY2cn5JMZaEPXNSRrPaw2dPVKJGzyXMi5NsdvLkUeJ0r7us0sJi+GBDB4NzidB+ewWY7zjna7xGqNTQUjbUwK9D315RmurWlXpxBcOnN1BbcdwHhrwQsLsdtsyfOCvKxEz7lnXfYJlyCy6evURgvSPaH0oCc2oBLD/2nt1T0wkDatZ2xykowKsyMvK2LcYrMcnZVyX30kywuUMSIXk0BACYZaQtdRZCUQiVmeijnCMMtCIPqdEaXWFluUAqAZg84KbFFdedjXBRPPCvCe+v51U+RzeewAHjOY0/2vtP6oXVuwUnB86wada3n44D5VLFG5dJm4yyW5hvVyhZ1UTI4O0Jlle7kis0Y0311LXhaECOvlmrIsUJMSGyHGQAyy/mzrVvbBlCj2RY/ejwAUMe1pgVT4c4HNesv5+QXr9ZrMSBI1mUyYL+YcHh0xmU7xRMqylPczioPFAcWkwuQFL73+GrODQ6JOMkY7xO7q3U8DRZiTEt+AwkcgBFzXsV0tWZ6fs14u6doa3zl819K0NT4GjM7YbrdDcTGEIO7iBFlXtGFzoaWl1BpUYVBarmdSlCzPLvnuv/kWv/ALX6VzDuc8oeuIXcA7j/OeLgS2qzVvv/UDvvL1r6GwBOcxMVBllvlsTkAxOzhgNp+jlKLIcuaTCXlm0Com+YFdQKxtYninlr8YXSrIe+qmFfawgvPzC7qmw7eeLM9BGdEnDpG8qMjLShhueUZV5nRtx2IxR9JZTZagqR5Wkvt+Nbj+JObF5/X4VOfag4YJPO73VKV2Op1SoAxDMaJfvcJozPbgr7Bjr3zA8JWxyeQuivmwFY0Heb7XavaNtwLpmgvR73QytRgKF7MZ2XQmUgZElEmxdf/cxpv0gF0mAzh2cbVIl2iJ92AAOnJbDK8XUMWxkypI67uxZJMD0eP1dYo1pdtsYPSMAC5FD26B61q868jLBTorUryaY6sFUUPbrtlePqEop7KXjkp1A2jdb8fphg1dVulxybevxkpX7/WokKAUGI0pLaaocG1NdA2u2UgxNc1TY2WPVFo6q5yHaDIp7JtsODfhiXjaeoX2ncyyqFDGMplOxch3WPsZCo/jUxwXjffP+ymWFLsiwFO/9/xsvKNj163VH9fGHqScK8bEiHc8+fgB3/32t/nGr/0qN+/cFQZ8mhPNZs2D936Gbjva7ZbT0zOm0wkHia0n5AtDCGJyPp9PxZg7yfEIEKuSJm/H8nLN8nLFar2maWrWqzWTyYTDowOKsiLPM4LzdMHRNA1N0zID6qaWXFfvgIoY+/G9W5/6Q+tdsStRJJLW8K7wa/p9Ve26hLTSwhUJUgTp52Vv5CTvqYeisDTghQQwFUOHrK0txrTU25qYZyzmcy4vLjk9PWXTNBzeOGS2WaNtIh/tP829/eSTgKKf9/NnviatD3k14c69l/jwnXeJwaOtRTUNXdv7cQTK1EHTG9lrrcmyjCw3hKjIypKX33yTgxu3+OM//EP+p//P/8Dv/4N/gNusyRYLlNEsVytikUhqwWO0JbjAum74td/+bW6+9EJ6HqlfM+7m89NR5W7yPjXvn6P997Mez2KmfmaQOBFzhAHs0WisMcTgWK8u+PD9n1EWBX/+rW+hQmR5fgEh8oPvf1/M4L0Ui60SHKzMLavlBceHB8PcqqqKtm1ZrVbcuXWbthWwtq0bJmXFe++9x3yxYLNe80d/9Ec45yhzkSfJiwrXdRwezNlutuRljg8Ot90SrBWpKefoQgBrRcZGK5rtZiCGTKqKi4sLyiTPmRcFre+g3rKYzwGFtUakw6wFRYp7bTJB3202YR9r+YRncd3Xn1Sw699jH4DdZ9Lus4X3n/s+UHsd4Hpd7vkscLn/+uq6qp/62bM+Zyx1sVs7d9rL+8zr6wDqTzo+EzgckQ1fXfkAaQsmset0Al6jUknbSLNuWwGTYq+nt+e+pxTD6NhFWHJDQn9hKbhpW7pWAqPMWnzwRBWkmmV0EnRP4FTwZKZgvVpjjWjbxqRv199cazQuLcbBCyNRRyhzqaQaq2WTU/3/EuX1emPirNq7SnsskUkJMbPocsb0GH7p1S/w1rf+NY/ffYtpKUlsltnhWo216OS1prTCqBxtpL1b07ckSJXFGCOOyVmOmHIJmBlSFC9BXRQgzYDrOjbbmqZumc3mg2O8idKCtG23vPvgEb/+ha9z/tOfYJN2nFYRhcboHBW3rJ485vThA2ye060v0c2Gg2nB4cGCshLJjaLIB+3R6KMYaOSiE0vsk5ZRgjcUAlLkHIK0C0dJUvFeAhkvILB3khAQ/MBKEcMFR/COru1wzosGTuPZbLa0qaVdW8N0NuPwcMFsMWN+eEQ1WzC99SI3XnwdlZVXALA+Mh4Hs+MQ43nbH+Pw52iBiQowicGjUSqAsUQ0wgQQjdqeqblbqPqKiN4Fj6OFSCudZDYlefEhCKMpRnzXYmyB8uICToz4zQVZXqKznGhzmce9lIQ2O2BYKbqupZgeUFRTesOUPoyJgAqebruk3lygXItrG7TJycsptqjwzTYZNjiyvEBbS0hguO+2+KaWQoyxFJMF28tHqNS2avOMoG1iP0j7XiqByLVrQ3SO2G0wakEMHc12O7AeCYFQryAG8B02KyA6guqDbY9rRbM4L3MwRoJtJyaYzWYtEgtZiVGGMDL9HI9HldZfrRS53clLkECehLxBMn8bft6PlU8Y20qR5IIM5WRG02xxbUuRVaIJ2ZO7jMbYQsZMYh1mtiDq1N4cAzH6oTU4IvuKigUmMTGtSc/XiBxNMVkgbn97Weezxvw1Sevws+G6P/+H6DL3wcq4U+HpYu1f5bgCV1wJhjR5UfLiK69w884dMpsTkX3j4vycIs95+OAhp6enPH70kAcf3eeB+5DoOsp8Qr1pmUyROUaUwlDQBA9YldpBT5nNDoaAZufyK2eUVuGnAqOmbVmv1yilOD8/Z73d8sqrr7Cta7KyoJhUKKspkoFND7rq3DKZzXjp1dcoJ72EkHzGcC/G93S8ZKqU1MZA9IF6s+X87Iyubbg8P5cEPss4fXKaDIOksLOtt+R5Obix9/JOIncVmU6nA2s6yzLyJDlRTaYsVxvWGP7b//q/ISty7r34UlofDa0TXTpCZLla03QtTdPyx//iD/jBd77HrRdfoChyLpIGsLaGG7ducHLjmCzFIEWZUyQpgh0oTIolRkF3EBCt73KKMWKzjK5raH0rHRidSyBCMi62hmoySUVqiFq0jHOb8c6Pf8IrL79GF2WtGLxT1O6G7wPD+/vM83D0xIdnB+Vyc2TPlNinl/bRMQoImsbcMEZVJMRkSurFV0MpIKbOLKKY5RY5XdKoVASiiugsE03gVBoNitS90aJN6lxTEIhsNxtQMJmIxrjqiRwhYlTEK9Amk86OyRxbVJjqEB0C3XYzAoFHoKliBOgKQ7GPP0h7aYgxSTrIPTA2T4y6XfGy7yiU2DcMPge+rema7WCYG9IcNGZnrjYkWrGHbyKxc2RZDjaXuEcFbJFYj1E0fYkqkUf0jjygFEFrVOi9kpPsmILo26St3coHa4O2uXRGmZ1/ikrJsWIHMpPgZ5mLhqzMCC7HYygnFlevaestbdPQdY6uqSUP0QYevk9WlmTzI6rD29isQCmDsZainLK9eExot+LT4B00nryoMPmMoDMp50c5kTicxHhM75L6IWtLz6JnFQ49Sym0GF6T/grhWfPh83cMxY1RYPSstagnp6Ai0Xg26yVvv/09fuEXv87NOy8OciRyBGwmwGizrTk/P6esSmbzOSAM/K715IVo9R8fH1GU+RXTzhAEQHYxcnFxyXK55vHjJ6yWS7z3TCYVZVVg84zZ4RwFuLYTuZmUA3bOoUzEBYftDYFTQUqn89UjgFeNnmefmwtJrE2+GoASaSrJEcZgSNhJ8CdvjP37qLVJcSFDlx70MkUKCWEF3NTaiHFzmHD79k1Oz87YNjXbbU3bdpzcOGEcK+6D3J92H9kHnj4LYKx0xu0X7nFxeoaKinq7GeY9EfJcwH+diF5FIR4JaEU0mpdefoW7917B5jlvv/V9/vP/5D8lI3Jx+oQ//9d/yt/4O79DNZ2j84LL5YrcGo6OD7m8XHF+fskrX/kyd+7dQysr8nVDDj5en9WVuEelnHwfp/krM2k/r0ccXfYorVD9P678+7PVtaQAKWQapSK+bWnqLT95+23efustXNty//59one4uiF6z7QoxBiVRBLKMuYHCy6Xl9y+eYv1eg1aM5/Puby8ZDGfD+ChSSaG/TOymeXo5ITLi0u6tuXmyQ1CJ0RNZTSFzdis1swmU4xRbLqa6XRKpjV123Dj6JCmbSjKkrZpaZstRleU1RQPrOstWZnTOQ9KsWlr5vM5KEWbSElVMcEWmeQv0aciV06W52KOa6QTtn8Po/W1cw0+GST+tPNx/F7X6Qj3xxU8Y0+bePzz/utPWkf6zxq/rv/c/fcf/3yfDDE2s+zfs+9AGL+mB4vhKmFAqV6q5tMdn405HH3a8FNgFZOmbdcSvEtgTRhORisJ+PqKvQ8eY6xUtLpmeFtFRBmVAt3xDVGDc7YkVCFtEOB8EDMLdto8UUGWW6wRaQnnwAdHbjX4/kFIm6kEUulhJCC06zpJIK1NzsVa2txUTKYXu8HSi0HrRMv3MYpWmLZ4BZPpnCzPODx8AacNX/u1X+df3n+XzAayPEMlUDooTRdANY5JrokZcs2Dso9CJQAvEpEuTwHtdGJzRpK/k4KoFTpofCfizD5ELtciAB61IUaFazsCgU3tyQ9u8L//vd/HZBM++vBDisLg2w5bZsObKqUxzrM5PyUER64VRZ6R2wWz+YRqUlJNpXKkjcEHkWWQtv1eI000jscVEMVuksRkuOC9w/sO17bEzuM6T+c8Ns/wQarxrmkIrqPpOtq2o+s6fAhi8teJCH9AD7qJk/mM6XzGweEh1aSgmkwpD044fuFlDm7fI5qSHf28n6A7x/pxAEwKmvs20efmiFeB4ad/nHSSkuFfjE+ziYbnluYjsNMTG4oTu8V3YAukgNH7gMkLjDLUmyVZLqxgk4znTJajk9yDyEnYQU4iJs3t6fERugcYd7CsnGBwbC8fs3z0ESq5dRfVHJOXtOtLuvUFrhMQJsRIm+UCStsM37TgkvGZtuAcLnTk0zndyhO6Nd51KGsIaeNTNhPmjs3Qygwu6gLiXqCsJjQ1IUghIxJpNkvyomKz3rA4PBpAXBUDTV0T0eRFRnAOlCYrK1xnBBxQG5p6k5JlmfuuN7fZO4ZNJ0aid3TNFtc2kkw4z2Q2I6smYPok+dMGylJgUwZsOaWcbOVZVlNUcBhlpYgGxK6VlvshYxwHmslUcExWi8i9SpudJA5gshJbThLYvOss6cfZeGx+4pnvJXTPy/zdXdong8HPCqj61+xy+k++V1dvi+yZeTkFJbuSjpGTW3dRCuaHJ7zinQCHTcPH73/I//j//u+oL88oKk/bSou5zXO2dYuxOURFU9d8/NGH3L51QpHnV4Kk/tmEtPj2jN04ymbqukZrzXp9yaNHj3DOc+vWHV47OSbGyOHJ8bDPZ730ktHcvHOHW3dfICsKhPOvUwAPu8V+DJfDuI9SKZFyePjBR2zPz2maBhc8netw3jObL7i4vERHsEqJGVB0tE07yE+EVCyr6xprLVZbzs7OyLJMXOkL6OqWtm5RynB+fs758pIXZi/QNA1eaRbHR7z5xheYTiYYbfjh977PX/7FX9DWNVrBdrXio3feZXGwYLtaomLkzp3bvPzKy1STkrLMqSox17WJTTq0p8WItkaM6JACLErueYzCOG1bMZRTWrO+XHJ2dsFyvRKpDGOophOKshz0qV2MzOZTXn75Hj/94Q9xmy2XyyWTkxsEHzA9iDDapvrx7L3DGPvczNenj6eLWVfnYOoKMMIWZ5wgxfDU73vviYghc3CeqEiJAvRMUdGvF0BF5pLCaAvG4EOHMRWZLZK8kxnG5vhzBt+L3XdQ8smyb9kMEyM6z8nKGdoWKC3j5ul19mqX0VUWj3QjEYWIMXgUROkq0dqk4tGuPV2TD7EYSacxuA1e1QNo1EuR7Vrvr+oQpjMkejHRzrJC4n2tCGiMLYnBiwzU8kKA+/Qk+zbOmO4TsZeeSqB711KvlvjQpdZinTwxhElYThdSAE/Jnt4r0LL3L2EJZ0ymc/nMvCSfeXzbEJoajSb4luAavN/Qrs/h9DGPf/YOxy+8zPTklhjBJkm81cVjbFFi80pk/xLIp3OR1EjDcjiJK/vl+NmluO+6MT9Ir41f//RU+Fwf4i/CMB7le2MZrmcAC4oEBNbcuHmL+cHhbm5GiHqnTYxSrNdrurZlMpnSNEK2ErBHoxUc3rhBludSpFCK6BG5AB9xbcdqteXJk1OWyyX3739MmRdMplPms3kyOFzw2he/zPvvvUfdesrJlMwWaGXZbDbk5Xw33mLP8Mt2xIvR2jAGVkBIW5JvC/CkjZHXqh3jOCaD1x1bLxV39pgI/R5krBkM9Pr7rY1Bx0heZMPYahpFl2eEuiYoKRQ1jUiTlXlB14xxhqePTyQQjD57Nx4+HZi8W//k33lecPvuXU6VYZ3J+a/Xa1zbkiUd6L7zNc9zus5xeHzMq1/8MsVMpNoePrjPf/6f/Kf4zYZbJ8csDkRLWWvDZDrnV3/jN/nn/8M/Ibaey8sVZ2fnbNuWX/yVX2G92lIcVUOhRnIDhqrOfnY4Hu9/XY5PFz/Eq6j5lZ/E/jf2DlkHvRfz8l0OnQgASe/+0YMHfPTh+3z0wQfUmzWb1YrCajofmS7mGDTb7RZrRGZE8nHD+fkFx8fHhBAoipwILC8uOFgsqOsaQqDznqIoWK2kKHTz5k20MWy3W/LMMjk+oa63TCYTNus1mTZ4H8iLnLqtE1Ggkrg6gdrr9Vq67uuGsizJiyLhXuIzpJWhaVusteIzcusWZVlxeXlBnmXY5FcUvcgPGmOl+zUvKYpKPGpCFO8SY3ZR9wiw7deZK1KW4WpM9CyA+Flg8jgOGAOr+8Ds+P/xsSuSXf38MeC7zz7e1zXeZwX317crkOkr56iUEqmY0fv1nZZ9p+2+efPg6bJ3TZ/2+GzM4egRVYAUpKW/XdciDEMtUg1Jd0gpqWz2LtgBYZtU1YS2sdR1LemZUimQkyBRbpYawFznIiHsGLrGaGGLJtZZiKC0DNosz1Ki6jBGNq7MajB6CDJ32msJsMZQbyTZxGp8uvld67A2G1xc48h9Vakkg5FuuoSuiiZk5Ee3Ob77MtVkImh99Hz88YdE58graQmyuWW9bNi2gWgKtMrpNo7JUYnNLV3TYKwVE41C2Lg69qCcVHwN9HQFtEksDMTETaU4LHgBrVebLUVZEZ1ntV6BMUxP7nLj5TfAZPzZH/xTQrdF5RkEjwryHG1ZEH3B6eP7tPo9uu2KzEgiU0zyoTJdliVZammJiHM2vV5sSsD7Qd/Hk6JJKglQ9A7XNbhUXRPgXIJ0DGxWl/imwzdOzH5cS9sG2kYkJSKRtm5xqQKlrWIym3N4eABKMV3MmM5mFNWUycERN+69zvTwJspkEmwTh1Yp0rOMMT1fLQzxHl8dgOHnaPO8uq3tFoghkO0T8l77z5jByHH8LipFyrukUW5M/2s9aOv752BsAhz69/dsmg2ZNdhqSj47TMUhSYz7/9FpniUX7qAt1XQhgPEuZGVIQnzH5aMPcNsVrtuyOj3nxgv3UNrQtVs2FyLj0AY1LKp5URBdx2q5En20TJhH+WQiSZ5vaYIjKybEGKk3G8qptMSEEJM8hrS4KuUJviMEhzKaZvUQlRWYVNjpk4yiyKm3G2bzQ5GuiMkgqO3wzpNXE9kMdAraEhAdE4jeNdtUpBP9Xh30SINYD093aCf1jmZzKYW1PEdbS7Nes15dknct1XwhSb3S7J5iTJrByXE+6avHVPRBJYBYW6rZIe70EfXqklLLBt+7zqvY65ldZSWGKO3N0adWdVJVVKV1vE+wiZgsJyunoDMB8kZA6X6w9/TofjrAHzbH+OkD/c/P8ckFniu/OQQDV7//SZc8AB8q/auvhqWi6DDjBmBFDm0zYoTSGF574w3uvfYab/3lBa2PdDFSKPBECg2u2XK2WfLkyQNeffUVDo8Ok6by1cCvZxCgd+w6pRQhJTfL5ZK27bi8vMR7z3y+YH6wEODSdeR5TlEUQ90qRGHo3nzhBWwmRYbe1AnUiPEmAPDuPg5/oJW0qP/krR+yvbzEOM+2rlmu1yIRFSOz+QHKGLptTes89XbLeruhZ3Y455hMJlxeXAxBXp7nLC/FbCQGCYSzIqf1nqIqeP2rX+Ebv/kb/OA73+OjD+/zK7/xN/jSV7+KyQRc0kHxzb95wJ2X7vGjt97i7MljqjKnyAteuvcif/jP/hkvvHCHWzdvggqE4CiKOVWVk+cWY8S7YBgziP631npI0Luuo2u7xF4wuK4WTf+6oW07NpttCv6FFTKZTLh56xZKa4qqophWfPGrX2VzecGDDz/g9tEN3n/3Xb5wfCzmWc/wypBYLbsSJPfj+7k6+oGYjitgCwLA+xDFFFFLW6dsrX3xT+byMA+8k30gOrxHGMGjtUHW4b5TS2ESu1fZUrrWlCYgklKDYdiV01WUyYtjd2jA07W1yD4Z8ZFQ1qLzCqXTOcSkU3rdsbdIXwGPU1IufwUG7Vv6QvVozQ7iN0FMDGsAZQbpqUAkup1Eyq6wJtfb70MRlSQaEsgbAk23Fs8AFWk257TrJfXFY/K8oG95Z5xoKU3Ep31R9tx6swKtmM6Ok8RGJPcdXb2la7eo6MkmC7DFwBjs4+L9Il4crk86IyW2V2Ai2mZQzciSEaz3LcF3qBDQPtC2Dc3FQ+qLB9ispAsR5Ttcs4XgCa4jzwtMjHTBYyPoSsYH6pOR3GuB0Wf+9ujZqZ/3m5+fQ3KAXTfLOGZ41hq0I79oJtVUSABE0ZLub2kAQuTxR/c5f/CIerMVwgHQNS1lmVPkFmP1oDMsTFypnfvO04ZIAOpNw+njMx49esyTJ485OTlOUhJHTOZTismEG3deIJ9MOLp5kx//+Kd88Ytf4NHyAc47iqKgyPPdGjC+znTCT4ML/dcSE3aJdJFu0tAl2ueDA9tNaSkEyQ0cSCb9IRJkHo/f3cukYdrn/sH33S2SQ3aJBJTlOSc3buC8Z7ve4LqOhx/f56U3vkTv6dGvL/txVL8O7YPF14FATz/vT0gFY8ouIxwc3mCzbnjp9TfJy5K2a9msVlSTasAkYoy0Tctms+b2nbuSIwTHkwf3+c/+4/+Y0wf3UdETomO1WXF4dJjY1Zobt+7ya3/rb/PH//M/5fHjh6yWa+69+SbVbMZU74zFd2vuqFNBJQPq0SX2GML4Xvy1O67BgYfw99pwOw6/tEMKkDEfpXgandzjzCQJRu9ZX17w7k9+zIcffsB2vYbgmU9K6m1Ee49RQIwcHBzw6NEj5vM5m82GtmuYTCe0bUvTNFRVxZMnT5jNZtTbLUpBmedcLC8p8owXX3iBJ0+eELxntVxSVRXOe9abDdPpFO8dZVWyXC7J8xwXPVFFDuYzOtfy67/+63z7W9/C5kXC22Sv7DrRz/chYDJLkWW0bcukzKWw7CPLswuafCtYzKYm5gWZEZ8sY7WoCRiLMRarheUsuaWh71YWbeadjML+XBwDrc8Cb591jAHgZ5GD9t9rvzA0BnT3Qef9PHMMRO8zlPfB6bG8zq7olpQCkm9bzwq/+rk7AH0/xx1/bh9jfBaPrM8GDqdKuVI73TzBRxwqeoxRuG7XRBJSK2KMARUVNlUPtLUUaor3kRC6lPSlm+kDfcrWb1Y9mLN7KIEYewFmRVQGk08IrhFANEaMlfZNkW/YtYb1oJb3qb0lAStlbqm9Z37zFqcPH2I6R7vcctEEFvMFhYmYzGOVxmQW5SUo7VeSGBw+gDm8yfT2y6K9lpLodn3BT3/wHeaLKWiFyWRSuoDoCaPZ+kg1P6D1UF806Bgps0BVZHRdwFpp5Y5R3KV96MCBVQUmtRkJACWaTibL8K1Cact0OuPJ6SmbukFnJVtlmZUzXv7SVzFFxTs/+AEf/fSnPHn8iJdfeonppMKHiCkKZrMZTX3Bw/sPuPXSS7SxRTU1eSbtukUpzOGiKtNEB2vkcwVIl3a+EIWj1YN6ggknDeGupW1ruraVVqpGNCi7TpLrut6mQQ5t4+lcwIWA99A5Jw6Y1hK1ppgU5EXGZDbFZpYbt2/hXaCcVVSzQ2Yndzi68yJFNUusVDDqer2acXzUgyJA6nx9Wofr83z09++6ZXQEsUIMI+C3b99MN6C/1ggqqkHvzHVuEN4HUsu0lsSlb8EMMq9du8UajS0q8sNbHL3wCrQ128snoAxaZ2K2olQqwgiwXFQzYY9dOe9dorh+/BGbhx+yWl4yWyx44dU3wFqa+pIYoZpOpKVlWHgjBI8hEF2NzSbYfCLjznmsEiO9GFqc12BL6DztZkU2mQjTOSoBhL2AJtvtmliv6KIMrcXRbaKW1l0VFRGDNjltd8lknljDRKIPeNfKQm8zIGKyDBejbJoJjEVrYYuFFh0tKDGwiM4RoxjgAMnoSphEzfoS5xqqgxNMMUEBxubU6xWb5SUheGaHN9HWEvviSJqb1mZ4J9IPSo83zlRq0AaVFUzmB6zOn0i742QGJhvkCQT07fXZpXCl8xLvOmkkTsCfsVYA58TUkkJfjrYlSmUJo3x2MnZlE+bpzbqfA8NrGI3nz/kxrkP9VfBseW1fHlLXrgH9Mf5p7Pe24Wfj39u9Z5+oicYS/M3f/i1efOUexydH1PWWhx99yKQsuP/eTzl/8ohqUnF04waHx0dStA0MAVBvkBETIKvUjtXqpfcarYVhUZYVPjEmZrMp8+kUlOLBwwd0bUtVlGgjhRzvIStF+iQqkwp8csr74dJ4WAi7S/Tvl8tLLk5Puf+z96myHO8ddVMLgIoaDIHyouTxxw/wTcNms6HrWkIUk62yKiFEHj56NADGVVmxXq5RUcw6nZPfy/Oc7bbh3muv8eLL96imMz742Yd8+Wtfk6KbFTmGqBWmKHj5jdd56dWXOTt9zPn5Gbdv3OC9d35KFx23Tk6oqoKqSvvjpKQoCowRJ3RhQsYrwWSXDDGdc2kMSqLTNtIm733EGDs8A20kNspyYYrXTcN0NsOHyIsv3yMvCv7s+9/DosF5Ycf0Y071XhT7zyLunsPzCgyT5pJKcejuu8KKjwFbVmxWlxSuo6s3hL6ompIGldhIepBlUwLgaUuW7p3I8sj9CQlU0UqLKeNkirFJQzd06bVaPl9FlAoonTSAn3F7I4HYbtERTDmhB41QSjwFokNHnwgfIYGv1x16tJ7vgTEkzVEMyvXYVAAfCL4ejYcwLEg+qoH0QQKihCSgh2QoKlDKJHPmnb65USLnJICYsNyNjoRui9tuUJ1HhZA8EAxPLZ5KOvs0jqg1MXS02zXBO6r5iXgUGItRYtCssxK1gmZ9SURRThWwI1FE2Jn39SBd7EkzaeToESspaGL0aJ3jfYfVJWQlRJH4s5N0r6JPyajkO3G2IARPU2+oVw2x8uSTOb6rsUUJJpcCNFfn3HivfXp8pD97Xfz4NJjam5U9L1N4J+XyyUD5ta/VmunsgPVmkwDMhDYlIKherbj/s58RvKdzDh8CnXN0zrEoZiJpaJTkMtaKvJTStG3D6ek5xWKBsQWPHz/ho/sfs1mvOFgsWBwcMplWVIsZ8+NjJtMZnXO8++7PODw4JCtKfvqTn0KM/MIvfYNHH38wzJ9hfjECF/5/7P3HsyVblt6J/bZwdeRVcUM8LTITqSozC1WorkIBjTaItjYjQVrTyCE55oD8G3rECTngjEYjZjQjR91GI8FGg2YAAVZVI0tnZqXOfPlk6IgrjnS19+Zgbffj98SNePGqCo18WdhmEffec/z4cd++xVrf+ta38FcCtMMx4b2A5k3doLQmMeaKFEQXoA4hKk8itne3t4QgGb8qFpeTTF0T6/vsSFzWWpFQMhaViBWjESEW5xx13TCfzdCvGZbLFa5tqcsti8sLtusNo1naXdC1z+o6luH+37u9UT0zfvcB4mFWBHFNNknCnVdfxWQZKEWRpRSTafcBOQ9QTBSzo+PY/3Dx9An/t3/2f+Hi7j1sgFppirFon1tj6XT6lTa88c67vP/zn/HHv/97TOczfuvv/S5d0Vt15bqQdaW7fhRBhV76qsv23O+Lz+Pe+9fX4vMcxriIIJ5WNG1NYpKelBi8p2lqXF1z9uQJq+WSzFqy2ZRyu8UqaKuaKki/F/mY7XbLZDIR2cMoo1JVdSzumFKWJbdv3+bi4oLRaIRSirquuX3rNsv1ioePHjGbTlkuI9kg7Gy67Xbb30knrVrXNdPplMdPHpPnGX/y7W/3IKQxhk0ElbunXlZV1NKXfXq7FSkJAZINLgjZIR8VUgvKtWyrLbnOSfOM8WRMliX44AVoVpHMCM/sC8OxNmTrdtc3tA2vPKVrgjkvOnboK14b8HwGkH0WtN5/fR+s7dbW4X109v/wGV0XoBoSZ/ZB5Lpu+mO6c3cM4u5n96w7W/5l22cDh22GsBX0ACiKwAYB59oIBojesNIqyjPIQq+NIckyUBptNGmWUlUtCrXrQOgXUwadtF+NL03TvsMCmtY1GC0F5YJS6KTAhxKrhQF6xSQPUTfJt7HyIuBbVICnDx4wnswwQTTzSgcfPzgjs4pxZiIbaUWRZ6RGk6ZJvG4NiUWFQGoSptMZynvWl0/48Z/+ETmeNMuFRWcNNigplKUVWlu0g2a1prWW8eERo8mEulxzvt1QpIrMe0xkLnvnsEYTVBBg3mtEwkxH5NKidEDrIHpzSjEZjwCFLabcOrnD6ukZn3z0MWlm+Ys/+WPGkyn68pK0GBO04XK54Y1XX2VxdkahEr7+rW/R1lU0pkXeYzwZkxQZ2WiETVO8dxitBSRSGmUsPuwiG1yZ0CIh0ZRbyo0UT3CNPI+mqii3Fa71bEspmiCBCMV62wqgZCxJYkTDMB2JvmFRoLXBJoYkzUQyQKdMTmYU80MOb77K+OBEdHVVABULJPQTcbjpD51RYiRxB7AQOrW6z09Tg//71/aMob5wy+A5KdWlfe6O64tItI5Iir1ifKioN2Zsgm9KfNtACFirsWmGTRKMK7m4+x4KHdORdwtmV9RO/hlsZAwPlkzElfRszx6wfHyXar0kNBWP796NRWUsadKxAsWRVl2ACUdblTTeU+QFSZaRJClpfsLy8gznmr7Yo3NgM43Jcny5oVkvSYsJyqTifCtxMkdZypNHT5mevkpx4xXSdCwZEa6RYIm2+HpFUYyvrGvCphCgRWuFyQphEPbsKy+vGxsNjgab0huqHetgWNBL5CMaqs2abDzCGNE6JHiwGUkOhRNAO6vFqBEQ1vUbpXdeNKPbtp+7V50kcQRtMWKEo95sJBMjSfpDvBMjQjaqyMIPEtQzg2KDYvcb0UFUUdJFSdq/D1G3a388X2Pov8i4H7z4uZq4sSte6FA/z2jvgOG6bkiSrsL9p39nfz51dcZdPYgr7/m4UB6dnHB44wRhFQXe/eIXWF1ecPnkAY/ub3n3i+9weusWKgK+mqvRb3EK6VOtewBKQ3Cy7hprqSPb3rtAXTWsV2tOTo559fYdVoslWZqS6owQRK9/fnBEzH3ADLtrSBvu+SBScNI7x2ZxyeXlBavVirZpODw8YDqd8uFHH/Ho8RN+8fP3eOvNt0nznOl2S5bnXF5ccjCVVN0szSirsneMtYmp995j8oLHjx6Jfm+UpqiqinE9QqGwNuHbv/f7FJMxf/B7/z3vfOELko4XQSOtYzdH0EVZE4H3A374ne/yp9/+Q05PbjAZ5aRZQpbnjMeFZPokVli7A8PYe99LeHXGqHMtTd3277Wu7Q1O5xzL1QoAmyTkRUGepZwcH5EXhUhLJBknJze4+/HHfPTBB9yaH+AUHByfoJTZbbBK9aGI6wCoIdPi89IGWEoMNAyBUGk+BLbLBca3eK9oW9VrsvZa3NF+9d5FVm63X4SoAbyTRhEJL2G6O99ijaLZrPB6iw4eVUxQ2pAM9L37+d49i2tacAJcJ1EPOISANorQ6dcrSwjQtBW7Jzn4/MApkit91lHrASc6JnEMDLkWFYVglNI41WU2SVHjeOcQHe2ONR32zm+tpSrLXQqmDzRNK0C5NgRjoHWiGd5U0FT4pkThEHW8neOpuvMPf/dBsv669HhtdmuOFqZ1Np7i2ppys5J6I9kYpUQ+QA0AiH2mUT9mhkCWUuBj1qZRgBQBxke2NQGCxgfpjy7ub4w48mhNvVzgYsqqD8LmTGwMnu2Nhk8Fh14AHqsrz+PzsgE/K8t0XdsPXHW2sFeGxKY8fHifk9NbArgrGftlvaXxLSSGeZRDmkwmLBcLtDGkWUqSmlhUraujE9huK37xi/f5xm/9NtpaPr57l9ViwXw25ZVXXiEbTxnPJxycHHNxcUnrlrz21ptcLNbcuHmL8WzGH/7+7/NP/vP/nDtvvMn5k4fATp5Mqd0qtbP25H/ZvyJQiwy/thHAoQP+rbVXgeYgvqnWgaZq2Gw2lKUAVUkiEosmsRAkOOhUzB42ppc8Cs7Fou8KtMUYyAoZ952P+fDBI5LEcnhwyOLinKosqbdbFudnTGYHO1DvU0DO/QDIsySDq8+8GyfXnmu3+LPdrlkuV5zeuSPyjyCyGjFI3dtmg6XYB88f//d/wNP798nTlLptqOqGUTEhMwk//f4PeePdL5CNZzHbUPOVb36Tn//sp3z9W9/kxu3bcS2ORTSH96Z247Rbd6tKJAS6MRC4SirqPvc3ug0y6mDXHRqPQgoULxeXPH3ykMViASFwfnZGU5UiU+Ra6u2GBrEzx+MChaZtJGg5DJx4v7OzxuMxSZKwXC45PDykC+JXVUVVC2hLCDx69IjxeNwH+Nu2ZTwec3FxwWQyYb1ec/PmTZbLJd57kTdpW5pGg7F9IVUb69W4GLxK05TjoyNWqxWudUynU1QqtbrmB4esVmuUEmnXsilJbIK2CmU1NpOMMpskGGvIcpHI8R1hSHX2/15XD14YSkvst+uIA9cFfF4091/EQH7eOYZkipchL1xdF8MVcPh513HddXWM4uH3d8Sa7tz7jOLPGtj5bJrDdCwaAda6WeGdsAVCrKbcLW6dk2eThLa2UiQjpomryI5TjaQi63jxoXNUujBjuDoohpGtriNa5wlIGrPREoFvSEgzhVGeWCsv/tvR0oNJaF1L0zpCiAUwgLYsRQO5rYSl2gbGsyNMmqKCQ/kGo8QIDjQ7yndVEaoaDm9QLQpWi3M++sn3qDdLWQASKd6hXIV2QQpieYVTClRLYowwnleXnF88xWvL6auvU1db1uWK1FjSxGKNB0TLUeqDeCn2p0KccEjxCyO6JGkEbpvaszh7ilqtsM7htzmXT5a89cod5rfuMJ2M2W5WvPez9zk5PuaTn/6cohihi5w0S9GbmoBEfcdjqZpbjAVYE5/CYJNUUgjiU7WmmwyBSNXuIxhNtaXabmQTrypc01KVJZttTVk2silpw3Lb4IPci41R1zQvGI+FvaKVaFPbNBWALxX9nHQ8IR1POb7zGrODU5RNYsGsWNyl01vqJpLvTf/eIOwN8IErs2MBvViI/JephW6Hv27xVXEGBoc2NgLB3TwRkJCwS6WQhakleIWNzDEHqDTBBUizXNgy2grAEnwcmxqbZCRZLkClc2iUMPGjNiVR3iBETdoQpSWGIJUA8wrwlItHLJ7cp21qPI6qKsnHI+pyw/zoRAphRiKDVRo6AXcFJmoGN40Tw9vVaJ0yKkZsFucYRJIlGc1oqy1Gi86ib2s2qyVZVqCMpqkrrLXUmyXlestUJegAyjWUqyUEh7WpFL6L4GvnUGrdRfmSWGRR3DGTdkCepqlKiAVllNbUmy1ZPkNZAe+10RGYGxij3lGXW6pyy/jgEJOkBGUIQdjJxnlslmPKDXW5ksKRCmELR+AHIMSiJKHTTb4y5qPRaRPS8RxrMqpyTbVa4mqZs651seCmzBebFZikwqYpIckwNpEKzibF16Ibp5McH9md8i07A+x5DI/heH4RaNwFqT5vFu5n2deHQLL8rl5oWP3Vm3yhVpqg4/PRw8wKxeV6Qz6Z8dVv/DoHBwcS4OtkApSw6nbgEVfnfNixwbVR4Dyz+Zz33/+QLMsxek3TtGy3JZv1ljQTDePVeo3frhH2sY26tf1IkhHQsZRjvMA5T7lds15cslktyPOMzdmFgE5VRdnUOAKvvv0GD8/O+O53v8flk6e8eusOzkvBjVu3bkvguyx57bXX8ATWmzWbsmI2m5NYS7nZ4JuaLB/h8Hg885NDxuMZD+8/YFNuMVrz+O4n2DTjB9/5LsE5XnvtdXEYYhHNrn5bF6pUEYD84L0P+O4f/gkn0znjIsVYGE9HpGkWg6i61y3v5pkxWuQNWtcDwXVTCwOkbQWIiykiJkkJbYsLUn3aR6BJG01eZHjXoPUIZQzFWIqHXj4+YzIao8cj2rzg1Xe+hFZRD1pdP8D3mRgvYi7+8rboYA9Rpv7yZe4kWhGMPAkXpAbDUINbPir2ivdSrFMrIQgIi1bvZJg6W7mqBPx3Gm0UWstaG5paAJ4YgA0EKZbqPaor+HnN4whOMjr64FpnNyjT1w4IIXClBFWI8yzsgIk+ANOBhftADIJKamMiOBHidRqp66HUDhgOkl2jlexVrm3oiSZDX6QDcEMgzbKu5/HB9YHZ3v4wFp1kschzgNBCXUGaywn71Mweyt2BtkE0/ZNEXXnEvZa31rRKo2xKCGvW6yWTpJD+V4gudNcH7AHEu11Q5sMAwpPD9K5PdehtC9nzulR+euBeKU1ejNFeAlLeO+wzUciX2Cs7G1IW/L5oueq+bzicuvXq84IN77XrQMMhs6sHDgZdNhoVnJ7e3M2KOHdmR8d84etf5+c/+hHnF+fc/eRjRqMReZ5zcnSC1gnWJHGNjFl6bUtdN6zWa+pWNMcXyxVFlnN0dCwZG23DN7/2dd772c84ODji4cMHVFXJa2+8hge+/s1vsFos+NqvfwsXi1gaI2DsTuKx2xe7e93dT7djdI+wqureh0rTdFCgfZcyrZAsz/VmTV3VPeEnxL6wPuCjv+qNIskylLVUbQuNj6xpFZmygi1YLfZsHmT/O75xg+VyyY3TY5pqy8X5BdvNlouzx1KQbVCrZP+ZflrrpsWzgPDVudGtXXK8x3nHJx99yPe/910ODg7IxlNObt5EBU9QmhDBvzh16DMd4hhSIfDKrVvkWUpb1aAUxXhM3TZstxseP7jH97/z53zrP/mdqFUPp3fu8L/4X/6vyItCJL+iNEBXgLrr894MjvekUZIB1LEc1Q64DrvDnqcA9SvfhsNkGDABT103pGlCvVrx8Ucf8vTJEzabtRRNDlK+absRcsFquSC1godZK8UXfcSmiqKgKArOzs4iAVJRliu++c1v8sd//MccHBxgYr2KJElYr9ckSUJW5Dx69AitNaenp5RlSRVZvs45yrJkPp9TllJ07u7du/2z7gqbffOb3+I7f/bnaC3zuallLy2KgtFoRF03XFwuhHSRZCIRYS1FUXB+foE2mvF4RFmL/EWSpaSF4EPFeMxoNKKYjCnGI0wijHfv4iDUcS24Zq/ZZ+R27Ndhkbf9Y4affR6zeB80fR4jePj3i8Dn54G8+yzifXB5/zr3gedOXmJYO6Gzz4d9MMQ2h0zo/et62faZwGEVAg6FaPKJ5qY4RCEuigGNpMApumiA3IAYswjoag0qeJFEqGt806CUgaHOkNxxLzMBokOo07QHrqSKs8IoHaOrYjAapUhQBG8JOMBLIbcgBqQPMhlbFwTgygq2m4q6bkksFIUltQaFYzSfcJBktFWN9g0BT2I8PjjSLEeK/wlgKtEWz9nHP+bhJz+nbR0Wj8lzEpPiW0/YbjCpAZ1gEyWRQ+dEu02JEU+AxFo0hou7n7Cqal5954vMbhxz/ug+2nlUqHeLupICdYLZRyMcQBlUYlFZSmIyWtMwTRLwLWAxNKSJYVVuaIGnT55y68Yh3/rNX6dcrWnKLWvXEnRA06JxbLclRikmswlplpFnhVSyDZ4kSbFJKithvI7OgCeIJptvhJlQl6VU6GwDvg20dctmvWG5XFNVjtYBWpHklunJKXXVYI1lcjDH1RWJjez0JIPgKbKU8XRGko8wSUpeTJicnDA7OMZmhWgXRy3THUNj166wVa4M+h1ApQdG0efStn3hRUuaVprl+OCkOILfCZtLhWQ5gXOiP4TWuLYWVkySYoKjNSl+NKVIU0Jdi1OqHKhEnst4KmxjFEGb3inT1srz7AvRWZROJMVywEyOl4rCU2+WLO5/TLNeoryMr8nhIZP5AdloJnsOXQoGUWNUi4OrZc3QSuNpxJjzHt+2mDQlG09YnD0hzzJAURzcZHPxGEWLThKgpS7XhODxznG5XlJvtxzfeZPp8U28b1ieL9FKySavomPftj0g0+kzBoLoKjfdWljhnMjNZNM5ygWUD5BkFOMp2+WCti5J7DgC79J/arBBKKTatTFGgBytSdIc5x00paSARybyZnFOOsqxWhOcfmaD3A+YXB01CmIBIJMbkjSnbWopfhc8bVPLGHGtFAdRWnTFN4oky0nzQiR40kDAolQZn08uwQEfrv3e7tpe9Pd1r1+5t+dNhc992z2r7taFVf78vnz+mV705m5tDP1Laoctya+0ruHJw4ckNqFIcllrfUCxq74rz2UYlNv/quiAB8mGuXFywt2P76G0xaQCSv3kJz/h3Xff4ej4SNLca9EeBcXR8Q1hxASxXBrf0FQVTx89IjiHide9qbY0ZSVBZu/RgVj4tKKuaxaLJZPphO/80Z/wk5/8lDRN+NrXvibgqHNoLd9ZTCa0TU1+OGNblXzja1/l/t0HhACuqnnrjXdwbU2DJ0ktDs/lYsmrr7/GerPBNQ3vv/8LvvPn3+V3fvfv8bVf+yb/4l/8d7jgY3ASPB5cTAU1Xb8Hqu2W737nzzk8mDHKc7LEMJrkZEXWZzp1zMkhwOGco20bqqqKawN4BwRJ829aj8JgTIqNsl3b7ZamaXrjdZxnFFlKmqVgNKd3bnPj1qvYNOP1t97i+OSYo9NTHj8565kOnb3INfvy8Pk/z4j/5W5XnQnxtwcGfIQXtdE4LdwjvAT6d4ES+okYok3lnbCFjTY44yMwLLp+HqQquRYtaW1Ezkj0u1u0q8W21lakJJRHB09oW4g1O66W/ZQ/tE1xbYVvW7zyaG0RQkAeNepjDQkf7yr4HjCTTTz0+2DXdjkhMbjRP9cIpVmDxsax3bGJ5ZNdloEGgm+lKLbZgePDLIkr46Ub84BvRSIFnWKUzHnlXOx0R1Aam+U023UEWOR5BSIwD4AXqYfI5FF42rokuIYQMjpgj7jvG63J8nHMktvQrBekoxnENVpHu2fXL/R2QjeOYLdGDtfaLvgVQsB1/Rn7f3/vU3jwYnP5VlLxbRACUM9xf4l55hW4Tcn7//Lfsbz3mLf/ye8wf+cORg2e+d5Y+ss4q/+h24uABmBvL6MH96qq4pOPP+boxi20oWeJGp2gTUpT16RGo5zH1w02L6jKkjzNZV21AWUg+EDrxQc/PDrh3/6bf8s//S//ZyRpyuHBAZPpBG3Eps6KDN+2nD16iCu3vPeTn3JweIM0L7DW8vTJY87OnzCdHeOqEj3J5FnpPdas3CQwyO7tJF2CyLc41/YAkxnMPyCCxpIJUZWl/KsaqqqmLEuWy1W/H6VZxmhUkGap2OJAPhqR5IWQh1opUN5dh1IIwcoYtJHsXecdTV2xOZhzcSHFaov3fsr85AZ3Xn8rzsHu2XXX+FJPn0+zGAV3VnRs2xACP/vZz3nvvZ/wm7/9Wxwf3cAHz+riCZvNhun8kCzLsdZKUNZ5srzo9zcfAq6p+fmPf4wxipBZDrMjzi8XVHXFxw/ucv/RY3703s8pxhMOj0+4/corKGOYHx13Ibg+gAUgUjG7DMBONjD467Vew9Ul6FP74PPQXsTSfNGxoCTGpnbrsMITIvlpu17x4Xs/4+L8jMePHqMIHB4ccP/efbTWLC4vpFBknmNjRvfB/IB7d+/JWM8LVqsVR0dHVFVFlmWSoT0ec+/ePebzOSEEDg4OWCwW1HWNUoqLiwvGbsLx8TGr1YrlcilyoLEYY9M0OOfYbDZorfnGN77Bd77zHaqqYjqd9uzj733vL0iSFKUMeZ6xWogusdaG9XrLeDymaRum0zkP7t/n5ESCrFXdSH0s56hj1s62KpkdHpCPCtKiwGYZ+XiEzRKUMf2epZUSmyb+3Y3UZ9n6V6UYnsfSfREwvM/+/bQMgv3zPg/ghet1f4dBw67t6yV3RKz9a9u/zuFnh9/TAcRDsuxVab6rRf2uFhh+cfuMzGHEaIqVR1XwEvF2kVUWNxAV5SFCEFDJOYlKdklFRlspeqZFWqFppcgaGIiTrb9ZJSLY3WLZdYiAPQL6GGMjEBnRci3HoEErKwZ5K4CuNhrXamHbqkDQSpxBvMg35ClZosmsko3bO1JaEuOxWpEkKTFjLe6ZFqUsidYYrUAFNLsNzKZZBIO6BylGnzZSTToESPQAwIoAulgDkOKZJDnFwTGHN+4wPTjh6d1PWF88IvVRx1cbgoY2BKkeHQFQtBSGy9GoZMIrh5Iyv3j6AJQH1aJtoJhPOb1zSrN5m/XiXMBBDXUIpAaUr8EFNustq+WS2WRCPirIRrlohQYXo0iJFFMBIZQgwLWwM4Rh3jYNdV3TxgXLOQcByrJmudqw3pQ4B0EZJqMp2ShDJRmT+QlOW5LcMEsOsd5LykKaMR6NsBqSYoQtpkwPT8jHon3qlEF7edZReK6bdVeHdfzZs5PoosBXC8dccWw6EP5z0sQhuBrt3t2D9E0WWTXdjTnnRArGC3NsqHnTzck0zwja0CrIxlPyLKWpShIF4DEmQScC4jQRDNDGCpM7gsMqesBSjKlAKRsdqgBqwD6PlxramssHH+FdI8ZV7bH5mGI6o8iloFyAXitX9NJVLJTZMXNkYzKJpK21bQtti2o1aZIyPzqm3KzYri+xxZT5rddYXz7Gl1tMIgGvLvVHa0Wd56SzI6pyxXa5IMtH4pTHDa0rdKmjE9/1vwoBZROoKnzTYG1GVLQQgKkoqNoapSwmHRHCgs3inEmSCVAdNwvDYHMMgdC0ZMUIneSyRqIwJsW5OgLlYBNLU21pyhJtc9ACNncdrdTLOXLCijI9o8Nk+S5q6Vpc25BWW0lRryqaci3ams2YtBijApg0J3i558SmiAb11TScv672+XJOPysYNjSI4iuhM5Zeyt//S7f+3KoDfgKGgGvrPtW6ux5h2OgrWlrdh+Xx7AzCnXEj7yXW8oUvfon7jx4yx3P59ILlas23v/2HpGnKl7/+Vd76wjvcunOHN99+m8nsABXlhLSCuq64f/cjqvUGHWJRK+UkeBIUrQu4NlCuNtSupalrqrJkvVyzXqyo6prf/d2/x8Fkyv2PPmG1XpOmKQ/v3ePi8oL/6f/8v+Ts/IzlWoz9O6++zqvvrtAYmrLivR//kGq9lLUsSIqeTlPuvPY6N27d5u5HH/MHf/DvuH37DhrNn/zhH1NuS548ecLR6Q0BGAM8ffqEf/Uv/yV/+zf/NrdfuYO1hp/98PvQ1iSJJckM09mEvMjI8gzvRBKqt5eQfc77jpGh2G5L8rzo2cKyJ1qM9iI1YxKapmaz2VBVFWVZSlGjJMUoTZok5KMR48MDbr/+Gkk2lkKkZUU+nZJkI27eGe3W9atbUhxHnxfw92Xa4AYDV8Z6F7S0iSVUJgIdBhOleHrdTeLe7cW+ExkE+WfYadrhJa3VWgvGoBMBWlQM2NdNQ6oSYdoG36e5Bq1xrsGEFCmvvAeHqJ2UFLEYnhRFVrhm2wdhjInsYbV7hsM156pN1e2BO+BTXjegTL/n78ZIBJklwrM7v2tone+Z8PKdEaB+jhMo+644p0mSYNIk1qDQVzIgAuCanaSK9f6K9nBnGQ5HqzWWcr0kq0t0ksr9KStM3oj2Gyvpu4vHl7RqCcGTj6eQpFJwS+v++ntnUA2BrCvK1RE87nGLq58b3HP/mTCcdEp8ueAjKM0QHn5hU0ih8ff/1R/y3v/5v0E1LZff/Ql/93/3v8Ecza8c+/lj/NMDo/04jO26e+mB1O5ZIT/rtqWMPk9iJFNCRb3XJM+YHRzQbNacnt7k8vyCtvW41rNcLkWqMXhclDn0XvJMiiKnqUqaquTg+JjZfEqSCjHn6PiQi6dPKFcLms2Wg5NjHjx5ygfvv887X/gCP/vRj1lfnHP3w/cZFY9QvsXqYuDnhN26MwAnumBVd7dS56JBKbGFh+DwEGgMBFzbUFaVAEh1zeXlZZ8WTQhSqHmzoVyv0VZzcHggdu9qTW1KSUlPUzbrNVZrTJA1KklsX68gz1PKMmU0GjObz2mcJ01S8PD08WNuv/Zmn2kjz/CvPjz22YNq+AVo3nnnXWxiOTg8QdsEHRounj7hkw/ep60bklw0oy9Xa37nP/0HvP3Ol+Iz8Hjv+PEPvs8rr7/OxdkZibWsVivGozHrcst7H77PJ5/c5dHDx/zJH/weN27f5sbNf0raZRWp3fodkODC8J6VVuDpdaO7FPfuvoZ+7/C5v8Sy8KvZBmumUpJRq7RkXF0+Pufxw4c8uH8fvMPVJU3jaOsGRWCzXjIppKZNQKREN5sNbXvWE3vKSuSOLi8vmc2kuPJkMmG7Lfu1vGka1ut1zwau65osy7g4v5ACdnVNURSEEMjznLquOTo64uLigqIoKMuS73//+1hrOT4+5tGjR4QQemC5DSL10rYt0+kU7z3n5+fcOD2livP33r17jIoiFpRTNM6JbCIBYxOpq6EUSZKT5iPG05mwlBPx6aIFI/1oYl2AQVBzPzOj+31//xoCxsN9/rOA/y9qzwNsh22YHdG1fTZv9/vw/obX6JyL2f1XOfndeYY+cIeLDuuzdJn4xhiSJBkE5Hfn+SxAeNc+G3O4pzDIZqlxuKqM9BLiAImLjpIKhyDsL+LGokBS5iKL02hDq6XQmhhZMaY9EKsPHZgTtdSCvChGlrYRlNixARrvYipEBFm1IignjFYXmRJGQXAYqxnlGcYrQmIJ2ZjRdIIvF+jgZCNKE7Q3GAXBgCMW1gNQog3l3ODBBk2iLaJTJpFWH+Q7d+nzCpNoVCwCI6n6sQ8UogeGFPWyNmU0naJ1Qlak3HzzbVaXB+A8bd1Qrs/BVZi0EGZiaJHkDxdTfQyurVk+eSCFMtJE0re1pm0dRT7nwccfUq4WwvwNijSfkYwOwFX47YrNtmS93pAXmaQF5Bk2S+OmoTFJIsW0tN6lFHe6ZwFwDt+0UvW8qmPqaohpUjVV09I4j/OBJMtJUmE6TWcz0IaawPRgAlpz5/YdyvUmAo45AN41rKuGzDi2Dx9SjBcYZTFJxna9YDqbc3R6Ow75XaoiIaZu6qsLD9cUHegzkode0+dlo/yUhUEBIQiLHh8IQaQWjAacRAZ9EGDXaIVzkgJm0gSdZhTzI0xi2SwuaRbnWC1jXTSJNa5pRD8seEyWixRBmuLRMn9jaqoyEoE0xvRFZKzNwCM60QG8cqye3CdRimR6gPdSJCmP2teKXTpud99aRamaOB/lZdM/SmMNxqY0TYWraxongaTReEpZ12hf05YwHs1xSUa5XtK0jQTAkgRjNGli8a5is1phbCYOuhJWvQHwAR9CTImVXg/QM+0Ta2jrLS6V82nANzVkOdqmeNdikpRsPGWzPKctV6TJgdxj60SCIxrmOjonqqvgHvtCaWGIy3VokiRjG5bgWum1ECVXVOcQXQUYd6OFXtuyc959J19gdDxPPNJYTJJj85E4S5s126WlLTdU2xXetWgtsjDBeYKpY1G65KWG9r4Rcd37z/ngS53/89CedfyvLlA7g+vf+5XQIRUCWkRJGu+j/naMsCMOMrT9Z7o1eeikDK9dAjFiXBljGI9HfPErX+bVt9/CN54//fYf8aO/+D6X52c8uHuffDTijXffxWYZyu7mQNs0fPTzX1BuNri6RhNItKFuK9AK7zxN4/BOHKZO4qGpG1lDfKDclswPDphMZX2YTSZMJxMMiklRsF4uuXX7Nrd1V/wuMJlOadqW0XRM8smIxtfQtKQmYb1YYrOU5cUlr7z5Jj/6/vf5ta9/jdRa2tZz96OPKEYjXn3lVXyU4/nxD3/IX/zZd9heXvLdP/xDfm+55OjoAINinCaMRhmT2YR8POq1RtPUxqB62M1dol60UqA127KU+gjovo5E/ziUotxsuFxcslgs2Gw2ZFlGnuccnhwzm89IkgSbFbzxzhcxaUEInrapKKsth8dHYpMNNtGXNeCfAWM+L/O3C3REx3qf9dKDcIIGoq3FGoOJBAOlZb0OEYz1QYE1MqbDbv1r25bgnLCFldiObdWQpCKzgtZSxKkbDBGYEaDXYYLobBuzA247XLvfJ43Ft41kuEQJs+AbtLUkyQgXYmaRkXT1PtUxagsSZB9X7AJWwz4QXE3YF/KdvlP/itcancS4nzvnUEGkj0Q/atenKvangBt7LCJkfWq7zEQlAVsp5IrIa3WfQ6TbQsfcobMt+hP1xymtSbKUch1o6g02z6N/YiXQEmtxhBCwaU4+mmIJlNuNgIVZjjbpDkgmSCFOkPohOp5jAOzq6FgN52gvYdD3b/fnbjMXfymu0SDjLs3Z5cjt2vOYXAGgarn/b/4U46S4Yf3hPR587ye8+Q/+zpXv3vU7fFZH9T9YC1G2JbYXrTk782i3toUQODo5Yb1Z0zQNSREY8vKTJOGV199kvVhx4AU02lY1tit4WldgFa1vMbGgukUzG0346pe+xKP79/nyV7/Cdr3CeJHY214ueKwgtG3PWn7zy1/mYnHJkydPmE3HvHLzJpePHtMUS+bjMTbWhOi0zp8BY+CZ5y8BE9/vx7uikFdrBIVAzEoRyaL1et1nm+R5jrU7EoBSiqZpOHt6xjimoptE5Ok6HeZmW+JoI1gm39c0DU3ToJWkwSsjMmxZmorut3MDAtDV57N/r89r+8dcP4YHALqS5zsajdFGinMrZTk+vUVqU6xWmMRwcX5BQPHqrVu4ugSlsUlCcI6A56u//i2mh4d88v4HHJQl28WSyjv+3j/+R9TrFR+89x63T485Pj3BxFpEKhD1HyRLer8JaaO/zCvz/UrgI3Rr78B2/JxM3b/21i+dYl8rJdns2+2KqqpYXi5kT2pqZrMp221NU9ckSUrbSm2Gk+NjNus13oPU3rLiuwWP0QaPFHRzztE0DZvNljRNqaqql5xYLBYURUHTNIxGI5bLJcVoxGottR+Oj4/ZbrdUVcVisejBQu890+mUxWLRz5ckET+80x8OzlPXNaOiIEkS7t27x2Q6YbFYkCQJIXhmsylVWbJcL3fFz1Hko4JiNMYDo9FICuFmOaPplCzNRO5NI4HoQB+o2SmKKcka/bTHMACP939eG7R7wdx+2feet1/tXwPwDDg7PMf+610w7UpQW+2kI7r3pO6Cu/J+b1vF83Rrbie70WUHwm49/iz77meUlSDKmgdQnmq94PHdD9AEvNJi80cnQ2uF6vQHlXy4M6pMBEYirS+y+SIKjkSyCDuadmAI1Cms6YpRCMOgY+YGArXfWWwhprX1F69kvTRW2G3WWLRRWK1xGMJkxpe+8Vv4tuXnf/ZtjK8wRmGTVHQxUWA1xXROuV6Dd8JCampcgMQa0VUOBrwsHMYanJP76XTHVNxAjTGSStQ/tC7iGuTzSY5TKcV0hg/92oS2CZPDUwiB7WrBar1AB4V2Dptm+NoL0IZGBalajPG44FB4rE4kXdskKC2sLuqKNJEqkmVd47yh9Z6Lh/cZp5pEQ5pnzGYzkjQlzxJhShP6KuVDw1NFazV4Ke5R1SVNLam8rm1o6gpXNZTbLavNWowMNMVoRJpJxCkfjwka8mLMwWRCVhSYYsRoNiMbFazWG8YHB0zmc7abLWdPHlPkGdVqyerBOa516CRhenTM2ZNHHByfxMVHIQba80GjDl5xbRslM5KeEd/NgRBCLA7zeWrPLnhqYM2k+RilwFpDlmY0dRWP9RSjEU2UgbFW9J11mpCmGa5uaDYrdPA4QAeFjyCvMZJy5puGgMZkAoa6ukHZVBzJCAx3jIWAgPFGG4xO2LkVHleu0MGRzY8IQdjnSe4xNu3wHzrPTcX7VEDQHkGZNWqAn2m90/Ix1srTjQtvAGyUfNDa41qRb8nzMSHJ8L5FpwUqH7E6e4AmMBrNeHT/IxKbkuTTHhzyvnPcO9mX7p/I79g0kTTTaitVmW2KCkFY2MVImF04iukcHzzr5QKdJKT5mEAU9w9XN6o+aKUNRJkHnBusi5LF0NQ1Re8syhr+og0xBAn+YCS9r9OIl2VMRUO4exhd+poF5clHE7K8YLtaUC0uaOtYnCfNSbJRTGcXregX2ez7kd0XMXuGm+rnBlT6SzalpDJ4l5r2H+J+Rbbcs1xc8OPvfY/zRw+Z5AVqNCKxFlTANQ3Gim6g0QalAsYSgwVqJ+3JIFVqAFolScJis+ZiueDk5CZvvPsul+cX3Do95aMPPuDJ3fv8i//6/8mN27d48913ODg6Yj6esVkt+fiD91EK0si8N0bS4gV3S2hbkalp2oZysyWxCdWmpNyKwd20LX/2R3/Mo0cPObpxzOF0zmQ0Ii9yAoqPPviA999/H6stibbcun2LTVVTNg3vvPsO8/GIUWoolysefPwxF2dnoDWjyYzL83OacsNrr9xGefBO7CKnDB/8/D2+8o2voXxgkmbMipzb0ykheKZZxieffMy7b71FnqUU8zE2S6KEjPwjgoPDqsWd4y/xeUXbulinIfR68R1o0LYNVV2y3W4xxjCZTPDeM5/PGU2nJKMx4/GY1958k+nBET4oqu2Ci6ePyZKE1MbMomizfZY0t89j6xifOoJMwQd28JD87hoppqzynCRLe9aoptMTtgJuKEXQSsgFBMly0RrnpPJ38F5AHi1reqgbAYSjNqcxCQEp8EqUoRDG6EDnspXPdEL9Urc3go/KoGxGqEtA09YNWnuCVqQ2RaloT7oaEzTYNNr2sbBOZ/N3mDQxo1CxI3wQAeF+ve5eo7cn5Vcfi/VolEn6jaIXQeq0ken2/y6IGfrsobap455sekILSHcIn0Wj8ISox6qCx9P5Kxql4jl9h5zEJ5pkQvbYbgmjFqzUBAGNTgt8W6KVxgXF/PZrhLal2a6pqg3V5TlaBWyS4JFCcuOjmwSlKdcLlK+xWRalPGy0HSIYjhT02gWeO6k91QfktIrPvOupyHJzAbzStE1FkueR2dr5Ute3fs+tWtzZUoLZCrSD9b0ng0mwA5jkg5+jwE4sXC3ZZwO7Qsm99odBf5/D4KyKTHfvHM6JLGEHxKn4/uzgiK9+69d58PEn3Lcf8vjxI5arpaSRI4G7QKCsKoILWCMZmmmSUVcl3rUcn55y9vARrmlwVcnStbRNy3K95vzigjf/1pd58/XX+dFffI+Lx4+YFTk6BFJj+sKk3TMp65o8z4kMg97XucogDrRtgxRKTlCxyHxvsCmZPwTR4HYxwOh8oK5rrLV92nyaZaRdAAvYRiB9vd6w3ZYkiWUynTI7mNHWoofapWPruP6J7xxiTSO3A/Tj3K/KkqauyfJiFzihO+Tq3/tAzeDInizRfeQ6O3O/nd44xUQCiPNgkoLD09vRJ4HxwSmriwve+/GP+OTDjzi8fYff/O2/S5pkfP2bv44ymi9+dcrtV17j0cMHWGM5PDmiKDL+4o/+kOXxER9++BFf/MY3Za13np/88Ie88eabJFkRs5Xp7fp9MOo/tpdv8hg7vzngXS3ZOpVklk1GIy7PK9I8JU1yjo+PuXfvngC54zFVVZMXI1YrKUzeulbGpG9xrZAEO4nSmzdvcu/ePUC0vFerFR17OEmEONNpDm82G46OjvDes1qtODg4wFpLWZaMRiMuLy9p25anT59irOU3f/u3+ckPfkBVVf0YzvNcyIZlidKap0+fcnx8QiBgrNgDddOwWFwyn8/YbLe0ruHm7du0rWc8mTA/PMQmKac3bzKZTalbx8HJcQyUGNrWxfkTawX0OMzVcQnXg6ldexH4et2YfrnAzvVteF1Ddu+n7WHX3ctwPwZ6wNfFAp/P+9zweodA7z5zugOUbaytNJSc6AJ4L9s+Gzgsl4tXHnzN+uIJuqnE+NUWQhsX3vgvKLxHwNF4v8I4lA5wMZ1BNOdAKwMOQqxi2OmudUBEiBQGHQujhA7kU1LxXClDklrasoZoYHbOh7Ui5p+kVgxxrbG2YygLe2A8Kbj/i5+wfHqGDi1Jmov8A2BTYQK23tFsNpjQVRqUIk6T+RHrizOkqJcU0tDKYBOLSaQCpfNOdFVVN+B2kQN50F70mUJABYUZTzk8vUOa5Uwm037jVYiO03ax5N4vfoZVLUmiSLTB+QabGHwr6bFEeShlNMYjxm7Qsd9N9OIbskSjSWTzNYrKVSzOLlBtg7OGNM8YTcakWcpoVJCktgf2dWRI9oO3CyB4YQxtNxuaWgrbuKbpN+pqU7JerahdS9tIoZDxZILNUoKymCxjdjBnPD3EJklkaFpWT55QV1u21ZYn9z6O4CG4puYcT6IVWgnzlFJR1xXjw0PKcsPI7hyJntEzAI16tnocssYYTGSYdiFYH/tfbMDPz+b6aea4UiqmO2Z4V+KdI8uyCBIEQtOA95jEkiSGkCYC2PsWfC1AZt0I+3wQBewWpLZ1JFmKa2qUN6gkxSgEdNedJrTokfTXGudK8OJ0KuVw1YY0KwgRPdJWdMf7VMu9R9I5hgpDCFI8Ex96jd4OqJD1whD1MAjO0TFpvXMEF3qGuacbK+LkpSohywpcXaGMJsnyqA8pQ8TH4hTWCNCtBqF48eUUyqaYNKOtKtHJtimGgG8qQpKR5AXNpkZnBfkU0QR/+hR1YjHjGToWEAwhUFeVGBFpGse2oa1rdJIMDHVHU9exIEKI6XmiQywb1NUR88xmqNTg2KFRLc57Z7zrLhIaRG1T7teQTw4wWlOtlzjvaaot1qYEm1zRV3rZ9rw0oOcaC5+juTtsL2JJy/vyXpalL3WeF53rxScY/D70/kNAeU+5WfPj7/0FZw8fkVkZf3Y6o6wqVC0GjGt3xUaVUui20y4cpNPrgXEWPAEt64GHRBkefXyPo/kJk/mMr/36N/jpD37I8ekJZ4+f0NSO1ZNzfrz8HqPxKBbSkEIgSWIpt1sJQFkbzRaPVjUqAqhtlJRYlJes12uqqqSqaqq64hfv/Yx3331X9nKEsWTieQOQGStBaKVZPHmMUwqTZyyX5zRNxdtvv8364pzLp09I01NWqzWX52csF5fMJhPZt73YTN57nDbc/ehDlPLceeUOj+/fJzEaaxRJmjGe5hwcTTl7/JjJ9IQ0FaaVNtH5jyCSax1JZKc4J8XMBIRwLFZLiskYrwIuuIhBigFb16JH7JyjGI9ZXl6itWY+n5OkKWmaMBqPee3tdzi9eRs8rC/PeHj3FxhrOb5xm6ASQrf+DcbeZ3VS99MHf5mb91Isuft9xxaJ/e5aAY1MBIVjYLLVUpHaeNHFHaZsd7at8x7XthLEjGy5zi71Ssk+GfU5tZZir8YYgulSDeUaZU8UB8W1Bp1GJ2JgK4Voe+skQzuHsbK3eALW5ngCvq1JsjHt+hztXQR/NRCJGjEqKwCb6lOaRcqiCwwPeWyuJ3mEKEGmuyC91hGkFem5YQG/4U+5frnRTpNZe9Hz1CpIurexdNEoa1KaelfMR0XJOK2vgiq774n9FwsEKisSa01dih54FyDQGpPmeGNF69hIKqlvGlKTkOQFbVPhGgnIG22ZTA7JD2/ilSVM5qwefcT28gJtE7JiJExfm/W3ed0euB80lVotAYIntA11uZUAUmQkiz79oN+eu8/sdKFNkdLKQBIGdpHSyQrtX4O4Bp8XUsVOp78D3eNfgyN2L4XBeyrsZBXyomCxuGRyeBA/EW1XpUFDPp6ST6YoY5lMJ1ycXxIIu2fh5fdGQ3FwKP233VCVWx4/eMByueabv/Etvv+dP8fqgPOeuqlRBIzz/Oi7f8HXfs1w//33OT0+wGZWJBSLTIofD8bKfhrys/Op8/F9BIdj7ZBhoC90lx2LfQfVBzE6lrAxhtl8jvcS6O3uNU1Tyu2W9XpNWVYsLi9ZrVaU5ZbxZALQH7vLahHJR++qKH0ka6VzLhardKxXS7K8uP4pD+71L7OvXPuZ2F02sSgfCRRtTWKkiGfXP0pZJvMpP/reA3yzYTIrpNCrsRhSCVinhsOTG8xPbkSHXvH43ie0Ho5u3uHw9qvcuPWKrGE+BsOck0BWEPkcr4aO1fX3Pvz5V+mPX83W2RzyzwdPtd2yuLzg8uKc0xs3OH/ymMP5AWVd0bQt3hjOzi/Q2jCbjoHOz05Zr9fUjSNN5Bm1ru1BQpGUcSRJGostb9Fa9z87UDfPczabDcWo4MGDB8znc+paJL86W6GTcJnNZsIyLgq+8yd/0stHpGlKUzeCmQSxN9vWsV1vyLKc1jnyQrSxx6MJZbVmu13Rto58lPH48UNu3X6FNMs5ODzi9TfeBKXJRyNaZD9oXYsJWuycqBqgiJISDHz3a+zC65jAz7P/nsca/jTmb/+EXzDW979zH+gdvj4sAH5VRkyOvU56omvd8fsM4S6jctgvQ63j7t+QQdwzuz8jaxj+MprDAVCatiolkm1UtClVrGq/M/6C4IPELSF2nMb7gFadVoYj0In4RlAhFq/QyuCjcRYIaG13WqcR0OlToVWsfNi0YsgpTZJI+mJXATTLMongyYUAwmiQPwPN4gLnYWQ0JAlpMcI3LXagCay1IbMpvm36h9v6wPnTM7JYFM+j+gJ5HtkEjUpQTkdAUfXX1Tm+zrlooCqU93gNBzdvcXDzDomOFaQZrO0BsiQlT6yk/WtN8B5jRCNNBkpnjEtaPVpBK46r95GVGQRUl1R7K0V4EB3Uk8MZbpZjUkM+KsjTjDRPsZndMUt6XTzTsxfEmG9oyy3b9UqA4bruRdG36y1lWdHWLdV2S+kaxuMpk+mUfFRgsowkGzOezUjzTDbS4CjXW9pSwOa63BII+Kahrht6arVSNFaMFZPYqInsqcuU5fKSYjKjSznsCq7J879+AZK+GwBJ8Ts6AMbol4/E/IdsYcDa6druHoUdQQCbZ4zmU0IjIKI1RqqUR8h/60T2w+BQVqNcQ+MaROJFYxMp5IiP7CMTgd/Y152kSghESZjolCkVp4UUPxIpGY1WliH1xFXbAQ4lbKSOQUO3jniPlO2Q10Jo5fMBiFpldFkNsXfwLsohKLSP1X21LI+ubSUS51zvLHl2GQBSDEPS5tabDcdHx8xuvEZRjFBKghMCLBvoxPhD1AXvmzi8ST7GxYJuJs3jcZqmKklHE7xr8fUWm48YH5+yXizQoynjgxsooCk3NOWasioJKGyWC0tpu+4DYcKmQIr4tDXONxgXZSucFSUeTO8CxNESp0AXrYxX3etB78+fXZqigAoxPSb6RUZrvG9Jx1OyYsx2vYgp7A4Tkjjfnj3vp47za5gcLxtN/lVpu+VKXXlWw7bfH38djOpOTxQfeHjvLn/yh99GeUeRWKwRXcLtdhuvUdEGMYZdkPRXrXVMXQusVhLcODw8jPu4tE6zXxh8kKDwdcPF48c8fPqE0aigmI2ZVHNc27BcbtiWWwoNrk5YbUvRXgtO9swgRn6e56IVut3GKtGhN8SdcxGEa2hrCZDNp1OK6YSzszNee+01kiyldY750RG4lrapUUqC0pqAURJgnMxHjKcFH31wyU9+8H0ILdtS9CZPTk9p4t5toiPindRKMBE4RMPDTz7i9/+//4q33nqT2WxKkSR9UbskMRwcTHBNTZLavsq7UloYu97HjB8lCluRJV3VDQ8e3Mc5x9HxMXUtrEoXCwCFIIWVttstVdMwPzhieXnJeDxmNpsxOzjAZqLdOpsd4EOgqUsuHj8g1cQA9wFe7kyeYHSQn2e0XjcmP3+OqhTr7MBhvSd9IEtnIElTtqsSXGT/KiU1M0wsjBiDp87vih2puI5LPQ8BTEyXzq01+XSKCgLAJlkq36pEZ7/LZNGRmEG0F70T+89rKVQmLV5vXOdNUuBdIyxeLwARWgKvrt6SFjM29YZ6s0YZkarSHfPfi9yZ7CeqP3dXDkLuyO+i814CtHgfx3E8TpkdWHeNMzYkhsjtXd3vZa+RVHWplSF6w2KTa2xm0CYhKI0OLSFE0ka84k4WLxCdxO51rfFeR7tYnqMAhN3RGnRK0IHgSwgtVkOwlpaANSkmm/ba09pITQBtDEpDPj0gsRZXbdlcnjOZH0nGFLqXPXtmHQ8hklXiVUYbIARPU5VS12A6x2r5PrTZgZzP2RJ6tlIIkKccfuNLPPj5XVTQtLnlxhfe2tlcfL5BJlmH4tiUBy5dE2LmvgoSxetsy/6+45wKniIv+O53/5w7b7zB1U7dyZFst1uSxDAuxmzWG6q6JkkTJJsjEHAU8wO+9q1fB6Npqor/6z/7Z4yU5sbtV5jOZsxnM0JdUUWJhTzNqPOcxdkZ7/3oB5weH1PkKTrVjIqCNE16EKl7RsOaIsPXuucXfBAt1aBE+kYpjBE2cQi74LRMz5ilEtdyH4vZeddpde6kpMSOluBMESVrdPR9N+sN3l/gHIzGBcTC0h3zrpMnDN5LELeumcxmkWgVJPvPuytBpL/KeLwKoO7cw6s2q2TTNXWDiiQTFfurm18mguwq0bz1xS/y7X/zb5lNZj12oAfBiNAXdwdCYDKZYvKcL7z9LtokJFkh8lDBcXJ8jLEJXd2W+OT6Z/Oy7fM6Z/99NaUCu8wWefZNLAy3Wq2YTedcnp+TpRl13RI8fPLJXb70pS/151itN8L81Zo0zfCuJbWGzfqCg4NDzs7OmM/nnJ2doZRmvV4zHo9Zr9cA0TbzjMdjXCRwbbc7+QljDJuNfIcxhroRWcg6su6ttb0ecVEUEuwfFTS1ECGyLGO9XnN6ckPOuVwwHo+5vLyM+1ng6dMnFOMRgQknN04ZTyacnJ7y7he+AGiqxol8UtPiNLTOYYPFBxXl5DpcrgOIrwKlz8Nlds/hxZmtf52tX/euAYf3j7vO/3yeTzq8x+F37B8z/H24Tnfs4GGRu31m8zDLoq/x9ZLtM4HDHQigUOjQGUcqsl2vRk27Y0VLxeIJUXMwEEygcQ1t20TNop2umtIWEAkHiUwLBGwUYCzWWJTRpHku9HfvIrDpsZEZIdclesZDQEwcvSE6FrBaWI5BQ3CepHvbKBSexMr9ilEtumTOBbJsRFuXKAVGaU4Oj9ksLlB+V32we/it91RV1UdN9wdGf21+0IfKkGYj0ZfrmBSdbRLTAHWaoNMEv90COjIiuocvmq+ShtdtWMJ8NCYlHU9YXVygjCI0ItFhNJBkOO3ItcFYTQgJaZaQ2IQkTciLLILBYkT37I3YR953bIQN5WZFtdnQVBXb9ZZtWbLebPCtp25afCy8MB5NGE+nJHkOxpKPJ0xmB6ANrXOEtpFzbTdi1LetVL3dljRty3K56CUM2taR5zlpljIejylGI7JiRLm8YH1+hju5ic66qtA7aYkQ+oTl/rV+QivVj0dCN7rinPjcMCB6WsNzWxRwkYBFmksROmPQTXQorSVTBhvAtYG2qiU91eioB45UqQ8B30YtHCvGXes9yiYEYop4YDeOVFxTVGS0RweWGHAisnJMZEr1KbkxINAFJTopA0n363TNxVkLwcv99Qtx3NmJgFO08FQQI3y4IOvUiGPa66gNmcZi2BIcTdtyeHxCQDGezqOj6PoIrbUdMB6djb1NIsT1z6aZpN7VFTqLkjutFHC0xQynDUmSYcczzGiJMZa2rrBpjh3NMMUUOzoQaQYtsHNdbtFWgm2ifezxbUu3JqjILpPgXAzy7WV8D5lm/Zi54nQ/e6xsTm2viaSUMMMjxxmUoq4bNutVz+oQiYrwqdjwpzFo96/nZY/9vLc+jtWPK/rx9u+z+VZ0/VYXl3z793+Pqtwyjal0TmuctYAEVbs54ZxDW6m43DHRyu2WJEm488odlusV1lqmkzFJmqB7pzFGzuOy9uTRQ05vnvLg4QMODw4ol2vU0RGT+SGr1QrvHD//6U+Zz+aR6SSgWZalPWNeGx0rQBNrAEjKuTES+EyMJZ/PMdZw8+ZNnAo0bcvb774jxnbUIH987x5pKvIxwlMEEPbo6uKc5cU5s1GO9oGnTxdooxhPRni3M/jyPItONSjGBIQN1jEt33r9Dr4pmU9OsdpiEoNDCgAbAqQpKjKYdWKiTIRoxitjaGIBixBEH9yYhLp2HB4c0tYO30T7DZGZWK1WONeyWos26qNHj5gfHjIZjRhPp9gsRRvDyekp2aiQtMS7j9hsN0yKlNn8QLQj6cZmt95cHUN/2UyBX94mAzR0RZz7bVjgQikeLEwyHdc7F4T1lcbAhDadbnXUhg5E2ZWORKF6VomAH4Y0K4S5qDUKh48SCNposcUD2Ahy9c5uzPZwTYlWYLKxfEdnBvm4VylNko2pyhUuNBiEMRuCpN5jNEkxxdcV7XaJayqyYoy2CT5mq/W6fE60iANBikXqQcCa+NUeCU4PARnpzd3fg/V9CBRLVw9DnKDwNL4FI7rMWluEoGJ6Oz8dTcW+xWPHM9qqlmKVJgOdRDklIXIEPMpLALqzI5XWaGsFbMV0X0xAnGubpGIfNJUEk3xLkuUoZePe6fsgMq7GtYHgW9HiNwktpQTBw5VeiLe7F1RRoHwnjeBFDg/Rhm6rEpumZKMZyqbYbBStwE/Xbtzdq+Kd//Hf58nPP6D++T3u/Bf/CQdfeuP5c/nzMG33WxAM2KmddnZjhIFug0GY76HDhPvW2bPjyYTDw8Pe9iPaPrDDkk9v3eTy8QNUCBRFwWazkYLeztN6T9Cat27fkUCLNiQp3Di9yf0PP+SdL7zL3Q8/IrNJlKFQNFXDdluy3m5lbBGwicEkllGRUxQ5ibX9eIWuaPpVH3U/yCLFj2wPNOquqBS7QLSKfaQVUVM4ZpF18kbxs955rBUAuZeCibZ2nheAioCGnHi1XNO6VuQNYyC5ruv+GS0XSx49fsTjx0/Q2vLGG6/jQqAsSybTWZ/59zK247PvXQ2074Cc68GqEDyubnhw7x63bt2SPtZG/Ix+WCk6qbvp4Qm/8w/+EYvlhsuLMw4OjgQP6QeVAD1tXbG4vGA0nvDFr32D7bbk6OhYwHXfcnn+RDKY0lT8mt72u96g/jR25d/ktv9cZQ/XfTAzywoO5ocsLi7xIdC6ltEoJyh488Yb/PEf/wnf+Mav0TR1zKpNhISTpaTG4JWjcYE333ib9WrD2dkZIQQhz7WO8bjAmJLVaiUs3ralqmpu3brNe++9J4WMtaHIC8lyaxqyKNPSSU6kacrR8TF3P/6Y4+NjvPe7wvMghL3Ntg8K6aDZbDYslkvm8xlN0/L40eNo02qaugU0y8WGV19/m9FkzvzklDfe/QI6L1hcLili8b0ksWKjJJn4+OzmPj1m2KMpL3wW+/vayzKIhwDt8HleN/eve22frTu8jv0MmP3v7YJXXd8OGb7Dzw/tl2cLdHPt9w/Zw8NzdOfv1seuWF3vf79k++zM4W4D1BI91CFExiuIybZ7ULuIa4iggGiGtXWNC/J5QojZXCIV0RW5UHrHGu5vXHfGW9y4QmA0mVJXkkrSdzABF4tU7BLU5KfRA52ODhDpQKBoZDvnBFQNO8Fn7xU6z9EmodmsYyEbSQlS2rC5PI8FrySa2l+jdERkn3bM2ghMqgiIK0nnx3ta3+KVZnxwhE0LrBZtM+hYJrvbaZsKoxVJYjEq0ApUT7flBAaDNXR9I4XhNheXArgrhdeiS6wHIJ3XBmtHEIQZkmZJr1+plN4tJEON2ODwvqWpNpSLC9brktVywXq1Yrva0jhH45xoARuDVprxbCrVzfMx2XjCaDYjzTJJw68bNqs1bVUJY9K1bFdrlpeX1FVF8J7WtbRNw607d3q5CryjXK9wdY2rG4KHSZ7Qrhd430LQoNyVrbIbTyEI07FfwOLz24GJO6B9OK5+6dsLNv6OZa6Uoq3KGJHfMV50moJvo45hTVWVUmCB3Rg3RpP01cIV6I5Zq1AYlFGkWdYz8ZQ20SmOQEHU/Os+r5QS9nfPYulWnhj0iLq5SimsoTe0gfh4ImMrOnw4Fz/vrtk4kCIvCmEQD8HabkNRKhaVEfZTJ5WAUvi2oSm3hLamLi3ZaLJjWoQuldj2hRq7sba/0XUXb1OpKltt16LFrKSgTVuuSVLROd6cX3L+6B6qqZjODmhtQlXX1G1LmhWMZofYvBAt1+BJOuZz7EdhJMo/Y2wvAdKnsOh9w+gquPo8pun+5iubl+0/s2OgxD0BASU03Wu7r9sBKc+e+7oxvP9cn/nMAI36fABLf7V2HfiGIlatljd2hsVf5Yvkh1aKpm74N//qX3N5dkaR57i6IbWWumqoSkm1A3qn7uzsjOV6yWw248mTJ1hruXPnDt43nF1cMp/Pmc8zkXGJc18HdpqDVhHwJMby5OEDjg8PWVxekuUZdVVhreJkfIPNcsXtV25zeX5Blo7x3pFGZgWA0bI+SUV4AVmLmEqXRgO703mrqwpjDXmWglZ88tGHTKdTyrKUddAKk1OrgDW23z+sFjZQlmVUZYUPnjRJODk6RgUpSKlULDxBEC3IgUEbIoMyAFlyk/Pzc7LEYowFrYSF4h0mrp9OidSA2DZS3MZ0WVmRiRqCog1Q1g2j0YQ8y2nqGpsleOcoyyVPz84oy1IK/kR292w+I01SEmsx1jCZTfHAjVu3UEbHwkMriiKnGI8ZRTZUhMcG8++aefor18QuVtFRVxGc7ZpJc9KsoDVSPCZPU6oow6UHoE3HFjHWSEFlrjoVICBPkmZ90bNY+SbG2kJvf3YZa9c/h4ZyuyTTGpPkgzU/OneAJyHJJ5jWslyck7pzsnxC8I7gWslyaUtUW1OXGyrfkhUTTJJJ1t+ekxOCQ+lA8LL/D3edoVM1vFe53+743fp/LWO4658gGqg4L8FoYwkqkkjicaqzG6I7qzQc3nkn9lEHgu0yaZpmgytX0Aef2X1n2F3H1b00zsEo46RjEUGxGbrgqMjzQIhZSw20LU21pdqusVmOTROx10JHpHn+Hr1zkiUAW23XNHUp2XQ2Q+dTto0n1Q4bx88+cHTtvhlgdOeY3/2v/teUF0vGNw6vSlNc0z5Pc13sP3B4dAPnIfDDyyXLTcthZvjiyYy5URhxgqKdY3r7GS8+8sHRCcEFyVq7ph8n0xnvfOVrfPCzn1DUFev1msvLSyaTCYlNMEXBya1bMiaVZM9+6zd/gxsnRywXF1JgtfW0dUtTN1FGMeX45ikqQJ5npGlCUWQUo4I0TQfBmKv3C7vCSorOLpRx6J0Xdz36fqbLdGAvXVp1YJqKslH0updNLUxfrTfYRPZW0TaN8hQRIOlYjkqpnjG5Wq5pGyEBFUUh99y2LBcLHj98xMXlJUZbbpzeYDqdsK1rvva3vkSSZQMt7f8BWoDHjx4wmYyvyNZccVUUEqAFJtMDxuMDxqsVl5fnVJsNoCmKogd5lDJSyE5BtVnhgqdar/ng/BGz+UF8JoH50UH8vqvr5v6027fVh6/9qraXBQX3gcC+80KHKonedpLmHB+fcKGfUq1XoDxt03D//n1msylNU9M2DRAkSyNLCLHukgB3mu9///s9gNc0DU+ePO1lIKqqYj4/oCxLQhD78f79+4xGI7QWPeJNueHw8JCmabi4uEApkTnrMvLufvwxeZ6z3W5xTuaO957lcsnBwYFIpVUlNrHYxDIaj1FacXF5wXQ667PsXNuilaJtPEleMDs44uadV/niV7+KSTPKtiEYjU6sYEdWoxuHiplDupsD19iAw37f38OGY3L/932S1f57++f8y/h+Q5B3+J3DonHDQnRDaYghKL3v8193Tfvr77V2z+B814Hk3fUMj2UvoP5p7bNpDnc3o2SQtK3HahULERthyYShUHJ3Q50xLItVG7XDjNYEJ1qczsW07j4V3EcAqavU7DFK9Cs9gboRUfs0TcWINrvKzQqFFSwWwW/EIQpqB5gKsKnEQUJH6QiEBWA1wScoL6w35wS88E1NU23FwNY6shuR1BrAdyyLyOiAnWGbJInIXigVmXodMzomm/UOtpzXOy96x4OB0gGkzjdobTi7f5dQV/2GkFhLaFt5BlwdLELpiFq8WvqyY1MKQ9hhiP3roWOfKyCJC4bpgR364mx0zwdhJDRlSbnesF4ueXD/MavNhrZxUuBHPCPSLCfLMrQ2JFmGNoa8GDGZzSFJ8PE8m+WKtmlomprNasV2vWK7kKqaaTR0xqOcJEnIE8M4n9G2LU3TUtYl3ge2mxU2sUyZkuYZSZrFu3q2IjP9ZL1qvAVi8YmwS8/pJ+pLVNf85WjyjDp5l2HkSrQABSDxsYqqpcFHNoAtZrhyTSg3CMtMo7SAewEiyDKQfPEh6oYrUpMSAj3TAGR8myQVVzUa1MLNjk6aEsZxkua9w9M5tihN6yRNTRP1Gvuq7buNJ0ZtUNaiXYzQhQCq0+3ZRdK7cSyXZ+JatovuS43LOO6NFSe2AzgjmJoaS3p0M7IaO+kIj3MtKNvLaahuXsY0b4XoF3eOhPcBbQxJmlOVG2xpe91G3ziqphLQKbRMsoz1dsXy7BHWGFzrUcZgjUK7GtUYeQ5RTqJtalk/mgpXl9TbNW3TYLNMJCyUgOB9+inPA212esBq4FR37erme5Wt0J8r+Kj7DL6tUc5hlVR0x1hMmjHIOr762eeN8OcA1oMDdhHZX2ED+Oqz2HuPfVOMz2Iv7LWw96viT//oj/iL7/w5h5MxRZLQVBKgq6oqGp/C/n38+BGPHj3i+PiYw8NjvHNcXCyigdtydHQUWcLCzu1Am646+s6ukCKTvq3RwfP08SMOj09oa5EbCjHFfDQe8dY7b/PxRx9zeXFBai2T2ZTDo0NZOyLIJMESAYbbtpGiV9oIw0qpKwZ5VVXYNCFJU5aLBdPZDKOVBFa6vu8MSro1DIKT7AdjDTYWdZMsA5GgsskuIMagyGTwoXfUlYIbN25gre0DzcKA3mkL25jV4JqW5eKSxeUlCqiqhqr1HN24ydHpLW68coprWlbrH2KzjKpuaOua7WbDeitM4SRJyPIcrTV5lpFmGXmWkWVSi2A6n5OPx3GtFAe8GI1IlWN+cIQykj3WR332RuKOhfVXlzf5ZWpK7S9iRMkk6Cae0gZtZe3LYgHBLM/FJo5rrY2FXTvAceicdHaJtRabZKgkFUkEdlp1WhnRCk5SyfKJ6d0iBYOAkMrR1e8ICkJbE0wihYtRu0EdxzUkmNQynWnW54+pVwtG82Pa1pNajbYZSTFCG0NVrVk+fUhWjEjGh7KPRqDce08PCYcQwVmRSRPzoLO6Bn0a/3WZKL3tvwc6xw/0633wDte2SNG+eG/aRCZYHHdqN/9697WTD4tmQ4h9BAqb5gTX4NoGFSRTz/vQa85eqX4LEBzB1TRtHWUzJGDnQtODYgLGObQTtnBwLVW5lLoBWpMUY4rRDG0TuqJ9agAQSxAm/jXYc1VMdW/bmqbcYIzFFlPSySE6G6NRvc+xPw+vm5fd7q6DQo8KklGODuC1Qvurz21waZ+7FuvS8dB7/h8/+oSfNxmNSVCu4teePOSffvGUIw2bjbD1sjTK4dE56opbt1/BtwFzTSkAhfiP44MDbr/xOk1dMRqNWC6XLJdL8jTn5skNdJIMQhRwdHjI5uKIelviW0fbNNSNo9xULJcrtmXJ7VfukBiNMYosl+zPvlDt4FkPwY2Obda93slAAL0WN8ia0/mCOwACIPTTrgOH5Z9on2q1oqpqlkvRAS6KQgpQD0Bh75wAyErFTCNHXVcQoNpWkoFaSn2Auqq4OLtgcbnEe5jNphyfHJGkCUenNzk6PY01duLVDTAKeJnAZPhMJqMC1ps12/WaGyc35JWovd5dw1CqA0QmR5vAdD4TSYyoG+qcI7FWMhG0jevkTkP0+ETqBdR1zWq15mA+A2VFggjfg/LXTbzrQLX/2J7TOpszru+dv5tlGTdunKAJnLUNdbXt993xeExd16RJwmKxkNT+1jEuCqbTCU3TsNlsELZwKTIQdc14PI5F6wqstazX6x4AdM5RFAXee5H5qiqyIuPOK6/wve9+lyzL8N5TlqXgTpEp3BV1FvZx1eNSzjkhYqKpypq6aiiKgidPHvP6669TlltZi1ZC4gDNZDolHY35jb/zW0wOj2i9x8QAjo0kCh8L8O6671mAdL9dB6AOfz4T7H1J0Hf/c8+7juetA91c3Qdu96+hA5D3X9sHtK/Ofa6cp9MI7nzVfZD7umvcB4uvv2fxlV62/SWYw0RjtDNvZZvySvQk41obL2QHEHdHi+alguDxrbD/fHCi4UnAWiMwkJFUFKU0hqgj5naV+FDC0O30VIZN9+lhRMdPtH7FoAsx0qnBpLQu4NHozKIV+HqLryth3BkBL4wOhMYRQttjgQExiLq9UGmFRfWGv9jRu8GntcYaTZey1ZmLwYgWklxfiAV3DPV6wf1f/JS3vvxrBG1YL864fPyQNDHgW5z3ENqeCS0pLLUw8LyTQlFml8YuJmsSnWwnBqWSFDfjpXiJMQYTAt5rjOlo7Spe926gaS1KSGrAAoSAbxvK9ZrVxSVPHz9hs1oTgjAus5EAwl2PiFFh0IllMpuRTacCrLVS4b6ptgIyr1as1kup1k0gH0nKxHg2ZTKZkKWpjBGj++fimob1cslqtZIiOuUG75o4cXQfLOgW+2cXiQFzpZtY8seeffs/WAz6r96uWTeFoSYgRXdnXmuK+QHbsyfk4znldoNvSkl/JAzkICJj3aa7MaE62QViwUcxZD1KCrGpWKDCGGwiFZdVBDb20x1kHkSmfZw1ImGRoDodQhAdsbZG27QHdoHegRMWQifLsovw7fpk/wmq3SJGXGD7vts5m7tFOvTpcCHqoCnVXVcLKIxNBue/xnHd+/oQhMVYb1dSPdw1aG17fWsXHMZmFBNJkV8vF7RNTdCa8XiCzYv+GYUYuHFtg3cNri6pVgs2izNcXWKspTi5yaZqGatYEKm7v+cYxNelvDyvdc7B8P77yGvsWh8kHToojVeaLB9hbE4XTLzSPcNzDZz+l2m7cfr8dKRf9RYCkSU+YJF0c+W5j3EHlVyJTg8+CwHXNvzpH/2JyDu1jiePHwNKtCy1ZrFcsFytuLi4YDQaMR6PKcuK9XqDD4GjwyNhTTx+ijaWt07eoq4rmiajbluRk0rSGH+NDNsoKWWUkTS9EDh7/Ji8KLh56ybVekPTNHFeBb7w5S+Blwymy4tL6rZlPp/vAgZKGFYmAmjOtdgsk/3dCpvOGIO1IrfUySkdHR4IQGdUlLcKfZzei8C/AMVEkFfJMUUhUirdeqoi+Kbi9ysl1cdDgCQWGKzrGovo1HZ6s0F1Bcti0TClMdbQNg0fvv8B9+99QpFnIvG0qSnmB7z95a9y54030ElKaB03bt/m8uyc2jm221LWemPI8hxhNLd9hfnJeEyR5yRpIoByVXFy+w42yfrhMp6MGKciceBj4SUZNwodVASLr7ZfRUd1eE8CokAnl4YSZqjCkySWJEkEQ1BRr7+tJXtGJm6f9t07Dl1xMa2wsbBal+IdQlet2kQmowYMxhqaehuLPmvRjQ1BZKRUV0xZ6gSIUab6uh/7urYBhUpHTI5uUq0W2LSIWvlg0zFVVaIyTaoVOEdTVbTunDTLSYuCoC1K2+gvRAdp0HcembdJmkb2VZwbPZC7O/Z57KKu3wkB7zopJYu2AqIPF75ufnc2fLhygu6B7n7IuqlJ8zFOG5rtmrauIsNKpCq8MlIEO8QAsGvxdUloa1zbYNOE9fISHYKQNtoS19bUdS3Fe5UECwKadDQRiY4k73WSd+5eDKCHQQZOkNoGXW0VghT2rdYLVPBkkznp7AY6nwLPKEk943DuO6fDZ6UAE+01E652WTfXd1b656NJUE78RoLjz86W/KQZgc6xNDhd8ONNzeEnF/zugeLP/+V/y41XX+Ebv/P3MRCDFiIlYJXhxz/+IV/88ldI0pSrI51+Xzu6cZPtppSA0QO4vLhkvS35+p3fxnRzpXFcnD3l7ocf4Oqapq7wbUtT1ZSbDYvFQgpVFQVWKbQOFEXOeDImz/NdoEkrQuv6/XHYWuew0K8xHSAiQBJyD0rIQTrWDYEhM1fRRZpsYsmLAm2s7JvawGrFerXBB0/dNOKLaE0bs3YJUqRL1jqLCxCUoi5LprMZIQS2paTDbzZbmrbFEUjShOl8xng6Iklz7rz1Lkk2YW9GAwM38CVaiFrol5eXPHr0iFu37zCdzPY+L+uub1s+fv99Xn31tZhxqK72zGAe7eZW7LM4f61NsJFc0/maHcFGKxOBX+lzQyDPU7J0HDOfEd++Kzzaj7DBGtn/3BWj7l5XnfEy6KNngjx/I9tehCuIVJPWKdPZjHq74aKpsTZhtd5ydHTEkydPaKPcg/eeZlAwbrPZMJvN2K43vSbsaDRiu61QSlFVFWVZkqYZq9UKrUX6LM9zmqZhPJYidx7PD77/fYCeYdxlenVaw03TMJlM8N5TFIUULE+S3j52zpGmKd47WtdwcnqDx08fk6UpQQWS1KBi1sNqteG/+If/mKMbp9TOUeQ5ddsSAhR5TujkFJsmBoKfBXyv7d29914E4l4X2LhOpuEZW+AlSEbD6+nOsQvayndcl6E0/L3zMV+W8LCfqROGa24MmO1f27DtA9/d5zqbZghov0z7S4HDHXtBKwFD2q6om47aY7s6aMBOhD4EojZZjL4ojw+tpLk6x8fvf8Lp629w+MrrLM7OyNqArFey8aRFhtWGoGPF4QhIia/bIeexyFtXME0bvLZgM4w2JGkizAqbkKUjnjx+yGw2Zn35lLrcYHUsZqZELxSlwPlYeEB0Cb3bpZ532medbEbnDPpoxGstekrycIUV0n1KmEKWpm4IneHf666Cb1tc26AT2CxX6HaLsaL5a5XCeYXokTrAxCJ/zY6+H5CUtdgP45uvkORjVk/u0azXopKlPd7H9FNE49XaAfsiRoyDD2C4IifR61OFADiq7Ypqccnjhw+5uFxQjCaMRtO4scuioo3GRTA8zXMmsynaWoKHbbWi3m5p65rLi3NWl5c0dYVNLJPpmOl0zGQ2JU3TWMAgxfko2aF2UWBtLVOtqaqa4AJJmmFdEHZ4LJTVpbQPW29kqx433v0df+0nXvhMuNQvRevmbdf2i04A+KZl8fQJ1jU02zU+QL1akScanaa949ixyDtHTVsrYKgS5onWBnRc1JJcCrtoTXCtOEpKi6630fjg0VHrVuZSvJ4rwKw4YTYf4VyDVVFoXUewEn9lMRUNcy8ajVxdSHfGUvf6bjG/8tzlgPhLx1zu5n332a5kRJ/USfACxqK0AMMDD/PTx4wYl0Yb0iShqkuytsEkeVw3AWUlyJUqMiXBl7ZtAE+a5ZgkHbA+JGjj2wbXCFtoefaIer0gSTLSyRRCYDrK8HGc9/MpDvzeOAzduNlnIXSu9POavH/Fn48d3batsKGzBJOm5ONDknTcn2+/u66LHPc9p3brVu94XdPfw837b1LbgeLd3y9ew9S1wZNdGzoRAQEt0zxhfucO937xPj4EbJpQVRWtc9RVRR0LXkwmE1QMSNpYqTxNU0IIrFYr1qsVlxcX5JnIQ9RlLanOdmc0yTou12ASja9bUquxRtFWFToEJpMCKGiaVjR845WH4ClGWa/x20lGELrgcYiMyy5Isl/FXYrcDBYSCT4EwAcpDBZ1Q5XS4KUAp3de1stY3b3abvu0XGXizSgJjpkIWCuto2RH2X9dktj+mQ73JwHxpAioC4HL5ZKqLDk8OALvmY5mZHfG3HznC9x55x2UTgSQMpo7r7/Btq555fXX+e/+X/+c0LbcOLmBMZZiMsZoQ55YnHeko4w0zchsIhW1W8/qYs3x6aQPVBujSUcjvDJ4pA+6690Pq14BUK9hVLwM8+KXsb3YGI/r0IAl0u1dCo3RIunUS0EoIU3I+qb7fmhdS5Zm6GSXvTP8/o4hGAIo7/CVFJPSmGiTQ0dp6NInJUARs9r0PmQ4uD+QoG06ophnVOVaAhRpjk5S0ukRzWaBVoZ8ZnHVhu1qwWq7JCsLsukB2krwQalnU3gVMqY7e/pKnw7X+739YJjuGYLs3T7un+IzmGsDnB2B4OURo7g5KotOJ2RJjk4z6saTpCn54SmYBOeqyMAGbVIwLfXyjM3yQkCfVgpkNgpC8CJjk6Zk+RibpMLGioX/6PRdtY2gd5d+OryX3T45nGvee5pyg29rTDYinZ+is/Hzn+9z+qEbe4Twwp3/OSf93NAqQny+CgEmNxsHJOjgcKbFBEdtLB9crnlzccaDTz5G5ymubTHJVVAkEFguFyK9IicHdnuoihupUoZbr7zKdrnEHx2R2IRWW45PbwgRwQcefPIxD+7exTcNrmlwbUtVlWzXGzbrDWVVMplMmE4nJNagE0UxKnoGYRdgwu0AxM5e3IGUMQtYKymovLvQXq5IOEa6n4td0UjvVdQ/l7EocjepFKAPAZtYZrMZWZZTbkqqsqTcbgUA8Z62EXa/14pX3niTTz78mFRrtAoYayjLbT+327ZltZaCy/ODOVmWMZtNSZOc2cEhh0cndAXlO2m6/TVtH6x9dm+Rcd76lrOzp5ycnDAejehs2yvj2Qc+/vgjDuYHZKOx+ES6W4eus2mvX27EXfPRThN/6OL8XILZ1saCpENbXMWaQhH7uHL114BJ3ScjljP0cftPdy7Y8Bo/H1P3r73txg/EnUnICXHvLoqCNGbGdfbsxcVFzOpsY02klk6Ws2MMX1xcMB6Pads2AsihZ/vWdc10OuXx4ydkWUYIUhj48PCQqqpYLpdYa7lcXjKdTvv50JEou987sPHp06d9RkJnR+d53suyNk1Dlos8WVXXZLkQIxwtWVZQu5qT01OK6ZQ33npDaurYRGTSlCJNE5FmawPaWmivyjheB+he39fX+2jPY872+MVAiuF53/tZgdrh5/f/dfbSEAQe2qcdIem6e7nu+rvvGkq27l/zp13/i8D0z2Izf+aCdPGRiQNDEHaqj9pooUuU7iZO97CQyGNcHH0IuEbSpQgB5Woun56xvDhjvd3SuMDB8SmpNjR1iUkS8tmhCPM3NYnRWLMDh7tKoEEZMJKip5OMYBKyYizamyaL8TWPq7eUq0uWFx/RLC+5WIrdFZoaB2izi172LEMjOkghIvjqimcdHbRooO07LqZLk+NqFE4bLaxHLcUhgnMEDMqmmHxMNj+mDQFd17hyKwt4AELUWxX0N0oLRUPemI5ucWWAK21xjWNyWNBO5wL8eTmPUZok2y0kxlhJhwe0leJUIe4OarCpdvrMCqKGWcXDR095/OSMYjwhG01IioJsNAJleodRxYrI48mE1olRUy5XtFXJdrXi4ukZZSmVe+fzGQdHR8zmE7IsRVvTOztaG0xMW+iMnRCCnD86E845dNugrcbmeYT4XgBmXbcBBq5M/iuHf042yh3D+wra2r0rEcEAWjlGaUJoZZ7mVtOmwljL81FMJ+scA0RCBSKrX0d2r0WUKlRMMdkVbgtaS+BGC4uJEJ1hBd636CDVmfuUTIjOcf8baTai2V7i8eIgOU+zLUkywFokmARSis3jCbGQz95Gs4NU2HsjTtSuz7pz7d7uCytd2cT8Lh1EicawTJsIdAYxpOXn8Ny7zUEr0V4PBJJ8TFPX1Ns1NhuDMSKvYw0mzWiaLVqlpEphvUMRMy5sIlqGENNoG5pqTblesLm8oN6uSbKc8cERxewAk+YR8FUEkxC09GHPsH9h8wOn1Dzz7s6P73jg0ncqKEJwVJslvm1Ix1PIxth8JOv4Nd873Nz6n+w27uFrPbPsBc7rZ4mi/jK1v8p1PxttftFxYeC4XG9woFTcH8SY/af/k3/K//u//m+YzmeAomkbUIo0BGFIbDacnp72AT6AxXIJQB5lC5SS9LTzp2fcuHGDsiyx1orRGrwwzgdrV28Ea7DECLlV/TWGIIXnOkDVxyK2RZH396oiAGCiPFWIJRO7faVjSAnoG51gL47zLvVLCr5pBBjuW6xD0BVmVFrROoeva4rRqA9K7YJTUfwnSkqEEHDxu/oAeHTCO8kK6DKllDjVAQwSumpah1aKbVlycjLl5uuvcefNNwjGSrA0XmpeFHz1136Npiz56te/zv/x//C/58bBId/6jb/Nu4dfpCgKsjQVpow1klWVJNTOoawlHxUEH1itlzRNxXQ2j4VKdzqt8aHsjKC9MXfdHnudgzD8+cvcdjZzbD3wstuPPZKm2oaA0RZtDdo7fOOvAEchsMuCU0SQDZKswGZZLK4m7zvfyh5rLUR2rPctARnDShuc9xJ46ApBxStCyRzpgoRdBl4HaD1rA8V1QhuyfERbb3FssUmOsSlmfEC1kf3a6imFMmyXl5KV5J1cf1qgkwxMt4fE7+nQi850UTsZqL47w2A8dIfuBf+7ehiA9JNNkLR/3Z9HGYNOcgFgX7LtrjEGP1VCMjrg6LWZ7HbRTjI2uWJvlKsFqycPqJuaNC+waU6SZX1GVS9NJXmTfYCAmE0ZUH3R3g7wGsZDOy+sk9UhAE4KRTfbNdokjI7vkEyO5Fx7zqn02fMZTzvQfTdm5DO7L3+u5XDV9Pmlbt00DUrhteX2LCd5coHTGSokmEhMyHFsyzXTkxs4bbHaDs4hJwl4Eqt58vgRt195TWzlvnuvOv8X5xe93F4xGpNMpmhjKNdr7n/8AYunZwTnqMuSpqmpyy1VWXJxcYkPnsSmjCcjbGpJ0oTRJCfP850MEVc1g7vnb8ywyNIgGGOiBJyKmWWR/NG93+/Gca3q7ck4hoyBPMskEBaEHGQsJElGkRdsy1KKtitFtd5gtKZsasZHB/zG3/27zA5+zA//7E8ZZZamlsJbHSPRD/BXAAEAAElEQVROSFWKJAad8zxnNp9RFGPStIj2QSRrGbVbS6/YNS8ekCHs9qE333pLbNk+2zHEfVrS6B8/esRoNOL46GjnH+3Nr10wR/W+uxquaYNx032HFLK0MTvxahbHFV9/f86q3TEMzr0DfVX0VTpLYvevu3e1W14+ezDoV6jt7C+QvRs6UUQhSQnJoG2FBdzJOHSgbZIkqFRRI/OsqioIQeRVsoxtJAsIk9v0msGSZSeyE3fu3GGxWJAkiRRb9p63336bi4sLyrKU4si1SLZMJhOck2LpeZZxfHzMZrPpZdF+87d+iz/69rdF0zwGjdqmoZiMWS6XFCNhAedZxqYuuXnzlMOTE1599Q3QmlgTHqU0Rgv5r20dRinamNUfwtU9ZfjzWX9k93e3Dr1wbO+d0xjz3PeGn++Dm3vHXdeUUj2xZIjt7fudw7X0eRmqw7+HTN7hMfvM5M/K+O3ONwyQDzPOXrZ9JnC4kxPoHBavQFkDTUyhIkCIRYYGC5c4mZKSIYawp60bQhCpgHKz4vziHK0M9XLNT//021ibMJ0dMZ2OGM2mnCQJJ7ffxIFEOYLHeZl03jmCViT5hLSYkOS5ZMMZI4OTAK1ju7xgu7ygLZf4tqR1rRRvCTHVM0jKtvNtz+CVtNWIt8oN9UbyMDqwG7zERdb1/WasjWlWAlINB2YHVXZOtElTnEqYntzg8MYtNps1Zw/ukrhatIF9MwAqdwOth+2jA4HrHNruZ0O5eEyzXeDqGlwroHpwBKVp245xqSMLUZ6djwW6jOnS/wdMlM7w1JJq1FYtl8s1AUml8zbBjkckxYgkk+iUSTOyyZTxdM75k4e05+dsLxYsFhdsVytWiwWKwOHRAePpmIOjQ4q8wNrIzI6TvwsMJMmO8t8XO1PgvKfxDh88WWpRVpOPx6i9xLl+cu6N9X3QV4XBJtCBYXx+NsrrrvOZ15TMrc16RZFl2DSB4MiKPBp8mv3AR7+AQ68jrI0V3cwO8OwZUQI2mkQcsyssJyVjuBNc6RgH/aUNgGJtE0w6kuIerhH2cOuoqy3Wp5gkiSCrFL/UHcvBx8roOzTz6u0rrr4XDaJnNo5BYKjTQx96PKZP7ZV29fMdi8Bfef3ZTVJDVmAzKSDgvBdGPwAtwSnSdCwFBBONjvNUjHYjIELb0FQbmmrN9vKMyyePaNuGYjRhdnRCNplh0hSlYspxQCz2ARNkd4m75zG4/Wuvffj6DgiXtbR3JJQwS6qqBMDalDQfQd9vzzcCPq0F5JmoAEEPHJfngEy/yu26PrvOILkOkAsEqrIiy7Neh7J7T6LbuwCwxlNut/zkBz9gtVrxyq1bOOcot1t8CIzHEuhYb9ZSuVtJylxd1xhjePX116jKkqqsAElx22wk1U65IbC4M8q6OTc0wrpCdUlcf9pWdHhDgCQRzWIpkHh1/wYwXYq9oh+HIXhhCCOZJyCp05Kd1Bl7vt8TIYCWILLqbQVovayDrW9RoavAzkBDWUedUhAwaGCI9g5c1MmP3pqKQLVkc3SGqgJEbqBupDjlrdt3ePjoAWVdk07GHL1yR7JAtOlvNQQtloiCLMt5/c03efPtt3ny8Ucsz88YpQlpatGJFp1SLUXw8smEfDIhKwrSPAflqZuaIh9hTN4HEHjBWNsfVy8aw5+FQfFL1Z4LlnnwlTw/m5AUIyFAWEvrHF1mGkrY5LtsvRB1/EOUojCAAL4hxIBJQIKncT/Ae5QKUdpJAqeaq+utVoFyu8GkBdlkSlDpDvx77vIb35RBi81yvGtiELJAGUs6PqDdGnzdYHLD2CS01RbvHfVmzfrinKQoSNOMoC0mkeK1HRglUg8KlBS3VUJDpyuqOLyH3aWGAYAZYpFpeq3/fs4qFesgZGiTXgFqPgvTZtcbcp3xEqKZoa/033a1wLuWyXRGNpkJKN1ntcl82WUqmZ1d312T2t3jPkilOl8ruP545R3Ndk29XqBswuTWmyTjIxgwBvfv99Mc8X59Gx42mOrdmVQEDHfn/vxIOvXLOgrt4esHKe8fKn500bDxgINbSc1/9tYxr5hDbh7NmJ/cuEKiAVBG07qGN956k/t373N0fEI+GkEH7g+6I4TA8ckNJpMRjx58wrYsee2NN6i3JR/87Ke0mxVtKcWs2rZhtbhktViwWq9RWjOejJnP5hLMyxLyQgq3pVEGYshm6220WOQOFecWuyBDt/70dT/iOyEGIlFddvCOpS/7mI5H7+QgsyzHuZYkSaVAbeMwWUYW0+SbpsFokUMKWlGvN/zev/nXfOUrX0enGWUjfnJVVVHeyUrWhNZMZzMp3pdaRqMpyhguzhf883/+z/lP/9E/kfoCz9iV4Qrw+3xbVsb1Rx9+yOuvv4G1yQDbEK+lrmu26zV5lxllns1u6ewUHffynrrwzEQiIu0CTOmYET2bHkRfZrCG7V13/52dnbAn2dff0+CfYDp9l1x5/cpPnvWN/ya1Hvug81f3GKnxPaXowVajNdutyJ9stxLE0XE9LIqC46Mjmrrh3r17veawtZbz83NmUT7l8PCQ8/Nzqqpiu93y5MkTTk9PuXHjBu+99x6Hx4c8ffoUay3b7ZYkSXj99dd7G/r20REP79/n/v37zOfzXlP83/3BH5DnOf1MV5IFvFgsyIqcAKR5QZKljKcTivGUX/vWN3nrnS/x8MEjyY7QRqoZdX7+lR7brSL9K5+y9nf92dm/+1IRw+OG2ufDY593zm7uDeUa9kHYIZ7Xvd5dSwfaD32N7jzDz+4D2sN76d7vggdZlgH0BYi7MdDhLcPMxusA5RfZKlewRrXzxV+mfXZZCQU6BNo29HIFCim+4OkiULGoQdTk7W8iTqTGtaLh5KVE1pPH51RVi3MQgsK3iqqpWS3v8sRYRkXBo7v3ufPFx7z7678DhTBUrKsJbcPZ5SWnt25JCoe24oC1DesnjyEWiug0NxUBfBvBavrrEAA0QQVD8G43nIWmNEje6Jw0abvU/B1aL8zB4WRRMcV0B5ahRAvOB6kgnimD1jLRbDHj4OSUR/c/oVpekqiAyCwLUB36ASIOep8KSNfXAd8VFpEPyCbtNrTlOt6FgPhGm94UEL/U97tEx2Tq7iEM52YY3kt004OnSA2+NRwdzBjNZowmE7I8I6DxiaU4POHWa28RfMMvfv4TLu7e4/zhfZqmFF2eNOHo8ICTk2PyosDEivImsWgrgLAxBqPECfbBRzkDF6MjBrxoRXrXkqYps4mA08XkOAbDQ7R3rkaBrtyf2tsEo3UwnPQh7C97v8RNddv9VWmD/n7iGm6MZjKZYrXCa0MIAmQqxDntQGLRCpcO0FFT1AVhkhmbEEIsLGGkoFrrvZQANEYcvOsMlgBEDdHWNdDUWCsb13BfCGgwOSbzuNJJNWgtxnddV5gYIEjSAmU1SgmLVmsTJU0693Bn+D/TH9e04Rzrx83A+dsFa3qzIZ5a9SDzfqRx7yFdxau7wmxtLZtSEL1mlJLUxOBJ0pymrmKfBkT3WHTMXV3iqi3b1QWLp49pNivG0znz41OS8Tyyp2JpEyWMRrSOz5yr17KHDHT30wNi8dp702D38q7vohEtjqtkgQQCWZ5j04ysGO0c9hcYEMPNuLvIzrYOAVxZ896//ndsHp3zzj/+baZ3Ttk3WYbP8z+265tCRZ34Z40y6KDZAHguz855/2c/RXnP4eEB04MZAZi4GWlkKz198oQ7h3f6Yh2zgxnOOWwqYG1e5FRVKXM/0pS01iRJIow6JcyE6+yb3Vj1AnSqzijbzXMBzcz1jhSdsxV1t7XqBnnvvAvAFAZ7XlxLtWJ4lh6gpZNR8lEqQIKt2qiYyRBBE+9RPvR7u46poU2QIK2xojceldf7Gguhs7fwuCChSx8lujoQzCQpJ7fucOPWbf4//+JfkI3GjGcHXAGrwpCBHAgabJ7xtW/8Gv/tz3/EcnVBCE6Y21qTJBlJklJMJhwcH2OSRPohrgez2QytbewHWQj2De5Pm3vXGb7PY318XltA4TZLnn7ysz7TqY06gR3L1fvO5tilGYYQIsN0B/B0GtZyXNT21wkdy7yzEY02hB4gGhRoQvQ+18tzAjAejWN9gRdc/zV7ZVAKhZF5ZlqapkQ7g0lyktEBIRM7vFpdkOZjlEnI2ob14ox6s6Rcreky4job2lgbZZI0zgfy0RibFZgkk+Bft8cO91au7lhdoFOpmELdjceuL5IMZZL+s9e17pwvshH2v7wDVgZXQkCRjMbQTCimh5DE4mWymMi5+6DmwKbobmAISoXd3BIAVrIxO4amUgq8p96sqNaX2GLC9PbbmFw0WLvPP88Bf9HzHvb3y7Sdnfm5sZrpgqQQMCEw04r/0buv8OXLkrurkpFRfPHkmNsWEhTTL30tftD3ID7KR5hUM5vO+cnFD9muL0kSkcaTwukeo6VIo9aaoAP5ZMKrb30B51q0MpyfP6QqtzTrtUgprDacX5wLaFSumc1mHB0ccHB4iE1SsiylKHKKIiPPJONDipruwJf+2cvmh4xPsa20GoAmxOeN30kQ9Np6e2AFV8eFFJFX/b6WJIlks2iNmLO7uWuMQRlNE8Fv1bY8+eADfv/BIz78+B4/+dFP+PpXvshsXMQ+RmSptO0WMQ5Ob3Ny8xZV3XJ88yZfCYHJdBoxif5yr5iYnxZoDEHAmwf373P71i2MNXHP8xA8q+WaqqyYz+dRNm9HgtgPuPTzJtoX+3b2EFwKQZHYpL/W7tiXkmVRuxvVyDPoPtfPxZcI1Dxz/Z/+zZ+b9pkCzNHP682mLhAS6ym42tO0DSFA0/p+fd5sNj04mGWZyDLGPbksS548eUoTdYF30mdwdHSEMYYysurLsiTLMjabDTdv3mS73bJarfjqV7/Kx598zOHhIQDL5ZI0Tbl16xaLxYIPP/yQxcUFaZr2BZXbVrCR+XxOkiTUdQ1pwuJygU3l73xUSIFbY0FbRpMZv/P3/j5vvPslNlVF0IbaedJOv7wfGcOMw+f38XV7yXUs2+tA4U97fvsA7fD1znbsij3aaF98mk25Dxzvn7vLXH/ee4Ixmt4W67I4hrrAQM/yHUpLdNK0+xIVz7vm666184letn1mWYnOC9dKYWIRjEZ1kZQOQPNIWmYHosaK4t5JaiQSVTHacLlcsFqtaZuW4LuFVElautI4oG5bzHrFk4/e440vfo3koCAQaL2ndoGDk1vk4xmurXHbFdVmRb1aUq0WJInoBDvnaJoabeLGaC1WdZvk8P5EU7Vj9omzqCKY+OxA2w22XdTCWrsDT+j2T9WzkkIYpIRog0FLdWmlwOaMZ0f4xrN69IixVdgkFgwLmuBbvAdjrgJ9w8nQsUeGMZtuonX3hNpFTPsNA3ARGN+xqjpDuiuQMwQGBnav1ujEMptP2FYbrHJkNpBqcFUFWrOtahaLDZuLJYsnj7j3/i84e/gArQLjPOV4Pufw8JDJbCLa0EZHPcoUm9qoh2z7qBtB0h8V0DQuZjkFWteyWlyiQiAf5eRFQTaak+aT4RU/01TY2a6/atHRbmx3TtTVFsFL7/Cu6QuDdSzdrgAFSma1D1FLLMj4VcaCMiQxHVIphSOmHmtD45q48HlMV6o5yPrQfX8Xme7XDh9wzRZjErQWaYr+auPAS/MpVXCEpkIF0QANwaNtyvriKWmyJZsc0LQtidKi9ReDCMHr3tnqo7/RWOod5iCM4C7AIjjQs5al/OrjhhjPtbdodzNMxpfqj+0ctA5cHdja6OCxNiUYSzoeQ9D4tsUqKVrkXY3Kxlg9xrUVCi8FdnyLr1qpXF1tWD59TLlaM57NObh9h2w8g74YoEYbKfDpfdjpgj47goDIUIw6WyGEqIHXva92gFUEw6IFLT8DXR1BXF3i24okz7FFTjKagU3xg/S2Hlvn2fl41cjunBpwON77V3/AD/5P/3d063n8vR/yd/+r/y2jyQSldmPuMxmFf4Pbddp8XeuY/r5puffxR/iqZpTlvPrKKwQNo9GYxcWFFE7TmtV6zeHhIePxmBBCXygjz/OomVj1VZmTJGE6nWKtZTKZUOQ5xohmb+d89dcRQgzYBnQQkKXLeNkHg30EX0OgL9LQGWZd0FX2+90e2g1ECebuslRUCNg0Skr4CJN7AWmJgdzWdRNaU7UtWlvKqt6lG3pErqoHi6VAaIgF5bS1GC+yFEpDlqY9w0Ah8hTdPmwi4NfUtcwNYymmU3724x/x8O5dtpstq8sV2/WWYpxEYBmJ4Q9AmxBgfnjE3/ra15lPMp4+fszd+/c5Or1J2bZM5wccnpygrEUZE2uW7ewCm2YDQ/lZI3mYMbLPRLyu7RvjHej/eQeIFVBullSRXR/QaGOkYFnb9qA9gLI2ghuiESpbVRz3JhnIEEQRAm0waSrBvshI78Aera3INoUB2Bk8wTvq7YbJ/ASlEkLbijzSUC7oUxyzGArAK4VSKWlm8W1Ns11h0xzX1viqxPtAOp5gI0iZH57imxrnGggt68un4B3UFcZ7lFF4Rc/ib6pKCt0WlhgGiX3nBuMupv8O9lelNEErAWOVrGFaGdkDg5bER54PEEMHgMMVBDh0ASLZ6wIKHTxNU2FtGpndHVMwMJ7N2bgalWS9jEVnF3T2UCcT0722D9QLWBcZ4ZEtrIJIlHR2jKsrqvUlodmitGFy41V0Nr16jjgHu6Dd89ozgYDPAAx/GjPzl7WpaFugFK0ymAAHwLfmI359nhCChqAxaAItBN0XbSISK0IXHAuA0kxmMzarNeW2ZjSe0bQ1s4NDTCZjpP/eIB705eWCIi/IrCVJLJebDcvliovLy7441fHRIZPJmNl0hjai75vnec8eNjauGZorc/gqqWifdbcLTBDBBQagT8+AjT7n0DJQ+qoGZ9e0jtrDriRJErQWObqOkaeUkoKZxkpxPe8xQVFvtnzlK1/mH/zDf8if/tG/I8tTjPOxcLwhG2Vko4KjW7d49Z13mB0eyXoaAZYrd3XNsP10cFju52995aukeYEU7oS2EV/TaMvR0VF8bmHAHB8wCNmtETvgZkgW4crf8uJVH//T2jNBVUKU/5Bv37/37s8uiB46H6hzh9SO+Lb/mb95TfWA/rCfFYD3kvlW1X1AtwNhx+Nxb9d2r283m77exSbKqMxmM5bLJU+fnpHnRY8tee/ZbLakaUpZlhRFweXlJUop8jznhz/8IYfHh31xuY6J+t577/Vjv65rqqpiNBpR1zUHBwdsNhtWqxVKKYqiIITAbD6jbhoODg/R1vL6W28RFPzmb/0dvvDFLzMaFZRNjTIJjfc7bEsN1sq+/eVGytU16fr3r7MJrwteDn8fsoqvIyu8aD8b+psdAXT/e6/77u74Ycb1cL/dD8x25x76JkM5iOF6ug8UD79z2Bc7eQ6u9MGntc8ODiPGn5ESuNGoiq9qeiNJLk4Yet47MfTwtE0geCGo1ps1D+9+Ql1XuOhEBUFgxGBj5wiE4AnKiBzFekHjGnSaM5rPyZKEzeKM9eIc2grtPK6p8K6hVR7ldwZPH6FwUmzuOvdCWBemP6ZjWqgI8F4/CIYsYjFKO/F9tAbnCCqyME3nwEr/hYiHmGLGyStvYNOc7eICk2qwgWACYvzmBF1jg49av0OAao9+L/SRKwBx914H7PU339+Tx/QdEogexRVwvB+IOuoqGo0OAWsSRuMJm9ESozTVRtJrNIoky2mdZ31xSVXVXHz8AevFgrbccjybMJlNOTo8oBiPMKno5mljSLIUYy1JIlrDxL4lRKaVa/FOxpWYySIxsry8YL1cEAiMZ8ckxYhiJotd50gMx/OVCRdvvevZ523In7aA/bI11f13DcjWHxE3I5um8ui1FGU0Oure6QELiajPqYwAktpEHdmA8x60wdokjvFEXneeoFwMDGkZQ1FDt/Pn+iBG1NT2rokstKsX3qVZpMWMKixkEUUYtfloimoqtstLKpaoTCr+jiYHUjm1A39iWgddsKYHGrkSNOn+VrIDPtO3OhpfV/r0eYbclfvYbWy7TW5nwAWl0emIPM3JJlPW548loNU7H1o0iI1oqssHHU1T4n1NW5csz85otiXTgwOmJzdII2M4IECSMkZmzt4GsxsXV/vdh4DqsgtCkDWmY2JHaaHggLDLnPA+DM4VaKqScr0SHazJjDSfk48OcHEh3DGu9+bhNUBS/zOAV0Dr+OT/96cktQD76x+9z+Pv/ojXf/c3fqUYD8O2PzdeJrL+V/zGK0GMtm1oq4r1chH3vRZvFK1rOT29QVO33Lt7j9u3bzOfzyEE2l5WwVHXdc+O6KLqeZ5zeHgo1dYjc1aYR1Kcbd9hir70QK9tF7gd7o2dEyR1A+jXFlmnhHnL4Fz9HccxZyACXxIUCT5+v6Zn/RIUCtE3bJ2PUf+mj/6XZRWvy+OiHnDbtrK/Oi+AcJ5jFJzeOGG1WlLVkvXkfBCAPBqPXXV3pQ3ZZIw1lqauaVpHPh1j85zNpqKuHbPpnLPHT3l8/yFvvDPrU4HFFxyOGU3A8bVv/BpvvfUKTx4+RqPRNmU+yZgdHklGQwz0azrgYzdCdql78XyhM34lq8P7qwb1PmNkdy1X0/R2hvjzl9jPVwskWU4oE7SP8gGoXjLCuxa0IZ0csl1eSEYPKjLJhUWuY5Gy0EkLdYVQu/6NIKOOe+4zAG8cA9VmRZZnpFkhe6L3cTxGe+ml7mffyNBom5OYBFdtBewNLaQZOh2msxpMWmCUOKnz0Rx8y/b8Eap10d5se6DCoCRt2ztQklEWBo7PM3ZZEFhWdWyc2A8d+dE1LcqAVsmLkWGIPkDXI510jAPX0vz/2fuvXtuWLL8T+4WZZvm1zdnHX5+mMivrVhUrabpZZLVaFJsgILHRMi1AggDpTWjIfAM9tL6F1IJeWoLQgBpUk6AAUVSDEptFUUl2mSyT5mZee+y2y0wXEXqIiDnnWnttc869typPsiLz3L33WtPEjBkxYoz/GOM/qjXlakE+miLzIXVV+Ay2bNgWkHPOsDo/DRn5ckOWbsxptym/NzPboh7cIJxBOp9qbkSg3DMN9XpFtV5g6gKVpAz27qGGszgcG9feRRnW3moL4IufvVZrn/XN0Jvb5kCHAuBO+vdvCU4WPAgn6PaltolN2YoQ/Mp3v+fXsXPUjeXjn/6Ipqo4evjIr2W8fLTG8OyzT3j++Wc0taFufKHu85cvuDhfYJ3j4PCQ0WjE4eEh4GjqgjRNyLIBg8GAJFXemdTTlwQdELENkMRjfB86R962fN4GQ+TWxO3Lax9UJLG9dy6lxAYHbNPUPToon+1Qrop2jUqVIJuGk+fPuffgAe994wN++sM/5HA2YzQcIbKUb/7q9zg4OmI4nXmbVemWM33XVOvvIzeZcPHYJEmYzecIBMY2LC8WFOsV08mELPH1C5wlOILCyw/GZAucBXkT65F0IwYxm7n/Djw2H0BF5R3Cu/bM+Pe6KEjTFK38/uDad3f5IV2vC1FyRqvHz5F4Xf9HBLffsJX7tTY/NH4gpRAkWnunfqC4bJqmdeA45yiKAhMKz0XgbzAY0NQ15+fnNE3Db3z/t/jX//IHzGYzyrLEWuvpVkJBu6IoGA6HrNdrRqMRe3t7COGLyUVwcTqdslwufUQwMBgMWjA50hnM53MWiwXOuZamZb1eI5VmPB0yHI+pqpp/92/9LR69/TbZYEBtvPO/bhqUTjBeYflK23Uy6TbBBNvHt9jdFnga9ftdBeN2Aa0t9tEDfPvH98Hj+Pcmfc/mfY0xbZRwv6+yh7MIIS5FNUdHGtC+73jc9hhsy4hXCah4JXDYK5Idj5eSvniSF3Q2RMxItOqlq8XO46t0C6WgaSjXK5588jHL5dIXZwngsFeWenxWgNKSdDjg8Xd+nXQ6pyhWoCRZNkALx+r4CeXi3EfVmgZjvaCtrSFRWbhK4FlzXUpiO1DWS+x+RIt1nhvVia0J5ryItNa0EjRsuxuAinObfxMjLYlFnjyZtzEOhERqzezoASrLWS3OOXv+OZkCHYBSgyaZzClWp0jb4Kxr08aiwryxPTtAJbimblPQIwDYKgUuTi7PyxgjoP27pnsWQY/TMLwbESZfLMqjFIPxmFl1SLWqePnsGbhj8qpC6RRjwdQVxfk5VV0jlOTBw7vMpjOSLPWRMVqjs4w0Sb1XOQDCMlaPbie7BGmxxmJtE7jV/LZVrNesFwukFKSDIdkgRyYZo9lh4Fi07bOJFjG9rOxGMGoXEPUmthiZtvtLWgGvVIJOslAd3K9t23TcOs7G+dFFnUYPvTMO0zQdx68j/O43yjTzxV7aiLyegmajch3WonMW21iMrlFJ1oEYW+/ACU02nFIsLLZaIZyjqUtEOkBklY8SairqqqJJMpLJATpLqYoFQtXUZennQZhD1gTlKILFG/PDO3dkeIZoFDhrwxojpL/LDaXBEWWLj/zdoJzoP5PwgC8iOHmQqCwnGU0oVifUi1PkcIxxjiTJvFyo1yipcTL151kf1ds0HhwulhfkWc7s4A7JeIbQGSKm5ksP7vf5j7v5fsmtFOSM75sNz2xNFeaNTz2ilRO0z9Re21rKYkW5vEBYS56NyAZThpNDEGnYQ6I0jf/tIPqrjJQ4hXEOURnqk4tgSAuUMRx/9DHv/LW/hFWbzsA3eT3/ubee4fD86RPK9QXjUUpRNoxnM6aH+wy0xKzXvFwsKVZr7t45whmLsYaqrqmqirquWS6WLBcLyqoCAfP5nLt37zIejtGJIlUJWim/B/m74tzlKDdvONkAJG8qQUqprop3mKPWxqJzPSVOxvkbKSlEcDxdLhThIt9i2E+ljgXv/N5k6lCkEyjrhjTLwBhUY8nTjMXFOevVGgfUxrIqCob5gKFO2Ltzh/2DA/b29ijKkuVyQbleoZXk/OSU1aogUQok5KMxw8mYvYN9nj97ilN+H5/P95BOsT8/5OLkDJmnGGd49vQLHn/wLgiNQCKc3FjqIjqOhGa6f5/J/G47DkL4vZ4ACHcaAy0Qsh3Z4Me8+6Wvr16S570vt5Xv/s/om3qjWwDJWiMgAL1NbToQQPpCc7YufBaciEEIfl/1EWp+HvrIdl9IWfR0WRmAgqivbnD9x64IaKqCNB/ghPJOEukw1iCdDi/wZmPsqiaFRGYDrFLU69WGsbRxrosAli9eq7MRejL0qearM5wzfr+tK2xjfCRx0Ottn8c/6na9fc0FA75d44TfHT5qui7I8hFKpxuO4YCktiCwMzXG1C2YY5yDpqRcXLBenpNmOWIwRCB8gb6y6PRza1icHlOsFqRKopPUg9t4WpBrDVQpe/1y4T1rkBlNU+FcjQh0UtVqQblegkrJ5ndJhyPy2R0PUG+tm9dxJt5knMdr7QyeuEYV/UVrGyCnMDihEE4G0qCoqgmc3NKX+kKxtamCDak8UOpCUMtyeYF6mXBw9z4yVUQai7os+eKTT6gW51ycXzDZ2+Pi4pwXL18yHAy5d+eoTRN/9vQZYHn48C5ZnpKleciaDfZ5T+5G2ybqaTEjtB9ctAsUBl9cPdaxab9zeBu6fXTXyrbWgeKiXu+C08u0wEZ/jH02jQerAIRSpKOUoZAY4zh5+hSlJd/+9rcp1ysaA++8+x7vfuuboBMI9rWI/3MReL1+vnZio7N/YzZQf++RzrK4OGe1uGAwyNmfz9s6OKINkOhlBm7Mg/74b06XOEv6wE8EdVfrFVmWsz3FdrUsSzt7uQf0XvncW/fv9on4fWcPRTI+dzsR8UvY+lHcMohg245VPhgymcxYLRcUqxXOOSaTCRcXFy0PcNN42h+sa6N8y6JoC8klScJ//YMfBB5gWlq1GEDx8OFDnjx50hZpXiwWDIdDhBSUVUmaphwcHHByckIaCslLKVkulwyHwxZsPj4+BnyQlVKK4XDI2ekJe/sH1MYwm+/x7e/+Kt/+znd58OgRQmuqqqY2hlR5cFhr7WtmIBHi9hGp17Vtp9P2d1dF+PY/397PrtpT+1G0ff7gXUGDUSbGv5Mkaa/Rv078vf8zArfbAPWu4nZXRRPvks/bTrpWtm5l520Hxty2vSLnsOv9kyA9/6vFouiUL+eCl0mATlKaqsQJi0hHmNrRmCXPv/iU1WqBMdYDMrEad+9uSkkSpVBZzuNf+XXuv/styibyBUvqsmL54hm2WPcElgseQ0me5QHIsa0SGFt/IsQKq3HQTQ+kiFx8Iih3Hl7woCQCT0xPLF63OWn7L6f13gWAxe+VAiMk+XSCwxeCKS5OOXv2BMoVSlkcEmcMSiuErVCmhmAYuyZsuEFRjCQeMYpytLfP4vQYWxuEDcqB8wVJ2mdzLgDDXfqt234G10E07UbpfMSQwws6J0DqlPGeT63JBxlnL55zfnpCWdUQeCDzYc7B0X0GwxGD4RCZeENTJQlplvtiYqGASl+Jae8tRJs6aJ0JIJXnp3NCsLq4oCkrBJ77UKcpIh8xmMxDdKhsPed98C/coJdavFuB3VYy3jSA6SplwQO2EqTGOoESGiFs4B30NDI2GuTCU0m0BejiHHEWnSQtl60fKx9hrrIMtEKg2nGPXjRnfVSyEyHrzYFrDDiDSG1QXtXOsZYAQjMY71OtNaYucKbGNjWJ1t7xoROW6yXr5QlWClQ2wUmJs0EJxuLQQakM/NzOdQMlfCSXSnMvy2ztK3+XJRcvX+JQIBNUphhPpj7tLOBWXu6o1hHToiTttfFmhgtOEOkgRGD7OdjgXE15cYIwFtcYkjxDSo1KB1CusXWByMINrQmp7QJiav1whB6OkTptDQIhPeVH32nQjW9IF9qEUr2CGN6ddQZTXLBeLlrAyCHI8hylE1SSezkqQ4HLpqFcLymWS5JEo9MB+XTOYHaIUGkLwO3ya+6CJXYp+355C2TWZbMQ5pONCvMWuPxvcns92eVaY8say4uXz7hYnOEk3H3wmNneIflowmq94OzFC7548owXL17y9ttvI7WiLAvKoqCuauqq8gXr6gaJYDwYMhgP2dvb86lxwpJmOWmmUYkM0cC+F33j1e9j4XmsxElLmqaeXikiEQK00l4JbClxRDB+RAx69/UHXNAHQs0EIUJkb28fCnjRhqLWVzj9/u6joqqqRmjN/M4dPv7pR1TrgrPjU05PTimbmtFsxnc//JDBcMR4OPJc+3koHoRgmKSMJtOQJeM4uvcIZyxVUZKmCTrLvJNewGg6Z7lYM8gGNGWFaxzGNLz13rus1gu01tx78MA/82VR1C6PDnh3uDA4EehuFdq+I2djG70G8BWbFZMvg76dk35ruf7yNRcozMpVywcqsxyBw5ZrhBSeh1QKnGlaoz9CH1IorMVnb0VZ3thwnsSGeSrxhQu9jusjThER3gqAiPPFe4VKsdIhhEFaCa7CaYkIheleX9sRGAdOJGSTPYxpqNZrYEGSJJgQHax02gJJUiqU8FRqMh2QjvewTY0zNU6XmLryTmwHQloIDth4P/8jFKy2tnVUC5QHY4XPOZPChePitUPxF+c8/VFdBhA+ZBw6ixQR2PIZSE2xpC7W5MMh2WiKUApTLrycwGBMjVQJ1jaMpjMGg5TTL36OxJGkmadnCTpOjLGMmVgQjEud9sCcQGNjGpw1yDSlKgxmcUa5OsUJQTqekY3miGxMko/Q2gfKXAeW3Qb0hdvtHdtGeatTtSjUL37rAmJC9G0E+UNzoicLo87hAniEzzSNKlbM9oi6tAxFmX/tw9/k9PSE9eKCdP8AJ6CqK45fPOEPfvAv+fGf/Il32oT+zGYz8r0Bo9EIrb2sPDiYkmYJaZq0IFPMYJWh762NGuwbay2msdRNQ1V50MhYQ5ampEmOTmQ774PVhFNxn+iAiWhDx9Yv+OTHMERCO+8Ia2rPpR8dNv206+XSO5KNbbDWIZUmyzMSqdEqIR8NKZsCjGKwN8QqxWA299lwkZ7FdfuSn+u2rZcSawr0nYzhTbb/bR9FeHU8PoR1DtMYqqLk4OAwOC8VwWpp9cuyLDDGhGhNuXH9+A62gag4biKRmFAsTASH1HK5Ik0zrmr9vVPFMeg/S7Rno5OpZ+f353L8vW8Wt5aw60yXN7W9qj5xyT5w0FYC7FslsS5ADDJwAVuxhsXiHJxjmOcslgskgtl0xmq5JEtTLi4WWOP1obIsWa1WvPvOu3z++RcURdHqnj6TqOSLL77AWUeWpkzGE07PzkjTlKoqydKMpmmo69qvpcWC8WiMFhKRpigpWVVVUHMdSZoynk6pm5pFWTC/e5fZfM43vvVNvv0r3+HR47dQaUJVlghToZMUqTXWVOSpZnFWIvMM55qAa9Hqy/F/PhPPXRrPXTriTXvKdfZaP4L2quv3WyfXxWVZ5ray8OkwvHidvmNr13XiudvF7uLx/WJz/WfoXyMWvusf45wjTVNUyHKMEd/bzrzt++2SNze1Vy9IB4D0Hr003wjN9kBRcCI6h2sM66rwYC4W1VSsi5LlasXZ6Sn0gGGQWOtNTyF9hUefTuqYHz3g3e/+Jk5IqmINGMbTOa521OulT6kSEegBIVw7uP66wi9qAq1DfHnWb/TGeNAmApKtEt4aQbRRSy5EGKZJ4tMy6Saa31xtm2IjAtjoTAg1l3GSejjKOsj39pge3OXlk885ffaE02dPfMSw7gHYgKtLivOXnjqBzgscoxKdELjG0I8CXJy+xAW+2Ag19TcSCFUewSsBHjXyhoa1Pu0NcUmP618jArbxd5WkjPYPSLOM+d6c5WpBXTU4B0onJFlGmg8CgJSgE89bGGkGXBibzlEgeptWSGF3BlNXmKr2fLjWUpcVF+eeg8tYy2Q8ZjQcI1Xmq0GnOW1F9mtcn5cAp97fu5TdNwpgErCTSzluds51aZehWCQBeKmbxmcKQCgaoTbmhXNekYugYweS9Lz4okuLivNaCIGxDrBI6QtTtZsMryDMpCIZztGmpCkXmMCd6+oaYy1ZoimXZ1jTkGQrZJJinUXrBBmK+zjrAqBKuxZiuqpxkiwbIXWGMQVNVbAuSiaP32uJ5ZVO0UpTlQW4prdR9OCXHV4HQRdpHPnpXHD6COewTU3TGFKlQ8X1sBE6kEmGM03LGWqM8ZHB4TZZnpNmuY9QCg4g2Ust3l7LNhjmuzdqEZwwXppUVYWpa4SQNFWFwNGslzgHOh95R4EU1FWFNbVPh9c5yWjMYLzHcHYAOoIO4X5bQHUL+vX6uN3iHGkk6EQz/+57fP6nP0MbR5Uo9t5/BycFaoeC8Ka3P2v50+47zlv4WaJ4/NZbnE0nGGNZ1jWZlBTrAiskz49PGc9mOBxVXVPWNWVVsbxYsLpYUBceeEnTlKOjI5TWDIYDklSTDzOyLPXAsPZcjlJJrAkpXSIq4d5yUUpT1z6iwgaA17ouVcuDxYDrIgWgZzS4qPJH41JgGuP36kA3sZGCJvz34eBWyYfIp+zlXl01zPb2ePH8Bccvjzl7edzyv/3WX/u3efTeuyRp1kU2IzDRHds35FQEtUFo0NmgBbp9HBoMJ3MO7wmeffoZn338RywuLnj3vfd555vvs1guefr0CU5qcAJrnKeR2iWT4nJ0EUQWvc+vXoM3ram+EntVAY9NBXuTc7E/39+ovRff31gApf0Mh3QWJz2HtS2WCGs8f26IbBdxL2pB8xhVLFBCIQKvtjEGlaaBZiI4TkIUcDTYcDFiMVr/IV2yrhFCo5O8NxX8vmxNg5Tpjc93nfERdTkXnA1CJeRDHZyZFiEcGIOxBVVVoMLEtMagkxSztiTp0BeoVRmNUDi0pxZrCg8S68RfxzlPs2ldAKUsFumBE+EBHZ9SLb08qT0orLAI6TB1Gbh6z6nW59iqYDAao7IBbeCANZi6pq4rcA2NsSRZTpIPkGlGbQzCCdI08xHNtgFnUEpTVSX18gLtHLYsqKzxQTA6BaW9M0b44BpU4oFmY5BNHagzujoIns7CUDU1SIVJEkw6YjyZoHWOzIakgwmgCOl+3fm3mK9Xrefbgsi/HC3Iop7NFcFg0ZOF0azo2y2dDHcbx0at0OEQSlA3dSjc7c9OlCbRCaPhkLffeocvnjxhMh6jlebe0V2m8xlnZ6fs7++RZQlplpDnGVmWkaZpj/O2E+19gMBaS1mUnJ8vWS2XLBYXgY6oYTabMR5PmM6nZIPMO5rwVBotfVDUF7cAmT6YYcwmQGGtp0NsjKGufTGoaJM2TcN6vWa1WuGMAwwqzZhO90gSTbUu0FlOvjdjb3SXH/3xn/LRn/wJ/93/4X/IfP8O9HbtTon0v9rGUBRLlNbk2RACPhCUy2D6RADUO9+cdYGyLej/1rYb72z/DtFBfCmYQQjSQGPnX3IEnTvdv63T2s6Z3h4f7CIbAHkhBHv7e0F2BVs7nBffa5eJKDauAcEuuwIY2rHtd20bOf6laJ1D/LWv0K7xLvs1gE6t/hhblqW4wmJsA85iah8oYAPdhKkb8szTAeZ5zmKxIMsyTyNW+uKGp6enYZ25tnBasVpTliXrdcF8PuP8/JzZfMbZ2RnWGNbFGoQgy3LWq5V3OmtFUXjatiT1NJ1FVSJWS4y1fPDNb/Arv/qr3L13l+l0yt3796nKElUZ0jwLj2hDppijbgyjPPf1bWyNL2gewEznPA2ZUAhMu75uC/5uy5PL76D7fsMxEsDU/rX6196+/i4AeFuG9emWtsHfbRqmq/q6fW8fNOILD/azBPrRy/1iobE/fcD4iy+esL+/357XjxaOctYY44t5a00MtvjaaCVc759UKkQO9hR7EUwU4ZdOq/w75wPiqop6teSTjz7CGQvG+MiHwFPc8oBJgYjk9FnO4w++STKcUBRrpACtU0xdUS/XgSswI2nDrPFGZGvEBeAyKN9RGW43Z+cCGNy9uJiG024godhDC072XjzbLz9+7hxNXbcvzlpHrNYqgnfJBotUJwmL8xPWpy8ZZylaxV0nKvPhd9tghADXM1/DZIjeq4331dS+P1KBcFsGcT91yHt2VSQcdnggT3poeHvOby8yPwc6bhWtEtR4ghsNyesZTWPiQZ7TNvEFOiSyjRhtBYj0KVudFI80JgG8dDZwVHlFWThwxnJ2fMLpyTF1XTOZTpke7COSBJUN2L/3ECd1gCiv2fXeMGPz9dqmc0D0xtnbm/GdOlQ+JslSVqcvyYcZdVm0fNAEIFG0gLHuFOEe+AsCnWis6AqexPUhhKSuG3SSEEyeAAgbbxQq2RrIN2oq/uYInZOoFJ1W1FVJOnSUq1OWpytcVXJ+fsK6qJjvHTK/ex/vPJKeOkNqVJJjbYiicmBNWLeuoVy8pFwtWS0vWvlhsTSh4EwjHCbNUGlOG6Hec650cjKu6+652nUZlEgVC9g4y9nxcwaDIa4sfbS8s6gQ6ZSkeat8IGIUtgfpm8Y7ZXSSAt7pIwNnq+3dN8poa83GOLegGbTFHlsnE/jUwMYgFSRp5mVdcEY1qwVGKe+0Ego9mjEYj8nyHJ0OyPIJCH1pbF7H4Gw3a+dwSvKNv/3bPP3BDyk/fc7817/F0YffbouBvu493pT2Z/VoUvjiTfPZvI3O//zzz9HOodOEowePqKsanQ548fQLFmcnFIsV5+fnFKs1dVGyLgqUECBhNB55R0bueebTPCMfZCRp4rNmpAjOw2A49aggPK2Qj8YqyoqRTvxxzs9Xa50/x2tHgKeq2hw3Eda751g1sSZB0BskYf+MDhYlsMa2Rd38nIqULg0gaGrPp9yE4mLGGI5fvKRYFewf7PM7/62/5Q1NrbCigw82nCVt/2BDBgZbMxq3nVNFMhpPmO7tcfzsCS+eP2NdrHBacO/RY+49fIv1eg1CBlkf9CTB9h3bi3ZA8VWz4bKCfN0a247S6EdYXD6v68ebBgZvt239EWgjWl0AA10osGvquq0oHo2Q6NQTQmCioRJA1GhsSKUDp7xP9ZRKhQLLrhcA0EW+x34J5zwdgvBF3TzQEOndXH+KXQkqXAkM94yqWKw5GtPIBCVB6ASBxZkGnWYQCyEH0MM6i2lKUBqhEkQyQKsMgaUqFWmSIWTi9+Ny7amltE+ZFc4hQyFLGxxJSB2ylhoPniQJTVXTrM6BsI/axhd6C4X6aGq00oHrOET/6AQpU1KlvXNcaZwT6CT3tRiQSMDUJXW1RkhfMFanA9i7Q1OWNFUJMmVdlihZIVWC1okHpuo1rvbzxNd97RFLmBrT1DRFQbVeUTcN6XyfwXjPO6oHY3Q+AqnZzPp19Cl5+ob7dc7Xvo2z6/2GP3q6TA/Aar2K18+VX7jWGidiYxx2GtkixnMHTamntm47ua3zQIsxNc+ePuXk7JR7j98mjpoMlG1vf/AB4/Eznj9/0erm49GIPEsZj4doLUO0sAeFfcRwABCdd6ZGOxECz2VjMHXD8fEpL1+ecH5+Tl1WHB8f8/itt/jpj3/G3uE+D6xltjdjOBqSpr4wddwntqPouiEI9qQJtr/sgI8myLSmrj1AXPl6InXgWy2KgqqqSHTKaDggHQw4uHcXnSR89smnvP+tb3m7TsL73/wOVVWS5JmnetzKOo5j7pyjbip+9tFPGOQ5aZKiUx9VrbVmNB6xXC5Yr9copUmUQjrHYrHAWMNgNEZIxXzvAKUThNBdFgHgnO1s/nBTISQxg9u2wFgcIP+fYK50IHLsMx7Ic66LxlYB3HGwMZ8iGBzPi/J615zrA2HbAWJXtTdmjd6y7VJJXuURow4W8Yj21FYX80XYY4ZAS53iHMbZANQlLBZLny0T6m3EtbRer1sgzznX0q6NRiOOj0946623+PnPf858Pm/POzk9Jc9zr2eahslkghCCdVlShxoXUika05DmOd9451s8e/aM6qxhOBzy7e9+h7t37/L9v/JXsbg2QKOpKgZZTlEUOO2DKorVisZahqMRZbFmsViyd7APRKA0yAEX5GDE1KIesQWQXqcvXMV/v+vYvj6569rbc76vc8af2wDuNoXDVYXctoMadoHScXz632+DztvX244Wjt9FjuL4fZqmG9QWUcdSSlGHDI3u+FcLZny9yGEhUDiEUjSmjh/5HAwbAQ4fJSiFwKddK0y14vizT6gWC6R0WCcROsGYyl9TShIhQUm0lmghGExnTI4eYC0IW+KAdDBBuYbV+gId0s6aIGWllEjXvVw/0YIuKgQt66SLzE5hIw+8qO2kFD4lyHN41r2XJVop4/mDOy6Plki6aVrk3hNYe3AYp9Aq8YVcnI9ofvH0BYcP3kVrSXH6kunwbq8aMq13qsPwQo9doDE2oTJ7fBZBWyRByW4c7Jbnoz+ppdz8m/ZWcefaDJ0HOkODsJh6x/goa4UUGqUzklYx7CySbrPrUl7aqIzAwWytDWl8/ShKQ1NVmKYGazHGsjpbsDi9oChqZvt7jGZTZJoh0ozhwV3y2UEobmiDsudwMWU4vNJLz977ubGvb7c3BWe6FjUKK0H49yqTFGkaTLGgKgU6CpdA92FDGlXMFhCxsJnzMgEhvByQPhrGCQ/MRC5i8Pfx00t6g8o03ZxvKlzTgMr9PLGOfsH0q57B45cibNIZUmcgQCYKW6ygGZCNZiRr71k9ef4MmeSkec5gMiPJJ6hkgGgLtDmsrTFNQVMWNOsltloxSFN0mpGEokxS6RDE02CrmrJYo/IBic6CkS56aymoFUJeMZ8E/ch2IRST0RznaowLUWZYnDMIU2ONxrkG0ygS7Sl0PKXDAuh7Cjujxcc6RlkoEFhk4JJHRAACYgYGdAZBTLvHOQjgWDaakAxGIYrTb1R1VSGUJh2M0YMhWG8UJOmQNB95h5Wji2S/Ynpuy6VtBaN/jArjO33nMX/zf/O/5uLjL9j/5tvko2E7/X+ZgWHfvt7n2xx3iRDaRye6AlN76hDhDE6l6MGA+2+/zb1HD3j22cf8q3/+L8BY1qtV4FjLyPMB48mY0WjkOf6lRGcp6SAnSVOv6GjZpuzFCtBxD4uKkRSK1XrtHSBSoaRCqa7Qyi6jqK8otSldSuLrKXoATrYAsV+WTe0BO4Lh6aMye9cXMhQOsYxGeXtMluY8ffIcgWRvb4/3v/3tYOjG/Tg4L9qijNCBor136zoexLbIUO85nPHRTnfv36MpV/zhH/4+o8mIn//sI4ra8P43v8VwMgnP1O3tiF3g7GakTbeGus92jeVNwHA8PkZBbB9/2zX6pq1lIQSJTlraEo9eWKSkjeW1UvmoNQdJkoHUntsa/F4W9VSdBI7rzkmrlMYjrUF3jRHELVgQaY287uaMQbc0Ex5gTiKFU9iuXFSSRYN0qqVauc7E6Btq8e+Nn3i5H+ha/eUdOFNRF2uSfOT7QEcFJIVEJoqmLsFUqGQI0heSi8X5tFZIUrTOWh0+PDiYClNXKBn75aAxbbq8lRI9GFEszkm012eSwQidKJp8ECKY/Zg7BEr56MwA5YUHl8gkb4sBxv1e6QwQuKbCNjVYgxSBNiNJQraSZHLnUeAkfo5ZL5DWYK3pdG/T9JwELhSx9I7kfDxmIDU6HyKzjHQ4RSSDoGf0nDzO75NxfPrvcXstbq8vGeWB6+Tq9nuNLzTaI6L3O0GGtrrEG9E8H3Tr/NsBDHdWEt2aCb9fuppSwbHudSdjGtIs5XsffojQaQuoWBx7d+4wnf1lPv/4Ez765OdcnJ/jmoZVXTEQQ7RWZHnq6SSStCtcFADC6EyVMqZ42xaYXq3WrFYFZ2fnOAfz/QNkkvL43feQSnNxfsbp6ZnPTtAKpTsFPGbHXgoSaueP3wedjZnBhsY0HhgOae82BDOtVkvOzs45PzsDAXk+YDqfMxtPcEohk4z3fuVbPH7vfZRKODk7Zb6/h5CafJCEiObQjzDJNkA7IVBpwgff+gZYi20MZVGxXq9Yrlesl0uSLOXw8E4rR5yFyf6hf9amoqoqdOQMxdf18AEutHtxe8tde1IUBa0tHcTa1nyJ4KOU3qHtep+5rcvF80Q78Tbn2/bq6gNo/c+ui8y86bM3rX1VIqfFLnqwRrQ/dRJovsJ4pWlKWZZcXFyQpilN6QvLrVYrtNY0tXeaWGOZTCa+BlegFWmahul0ytnZGUopnj59StM0HB8fY51rMwSsgKKuqJqGdVkynU4RTU1dNNRViXWO6WzGuij46UcfcefoDr/6a9/j/W98wHvvv4+Uknw4ZL322bCLs2d88fnn/D//yT+hrir29va4d/8+e/M5Wmvu3LuLUJLpbIY1PhuGDeAz4lchAvcWwarbc3GXnXdV2wZYd0UJ7zontm1+4D6AHKN2r7rXTY6W7Wtsg8X93/vRyk0TMysuF4t1znH37t028FQI0TokmqbZDCboPderLuFXK0gHYeP3FAlSa5wxnn5ACu9lD5qBE9Bgsc5X4y7rinK18otC+arM1jWYquroHKQMgJJGCksyyHjr/W8zO7iLsY1PvRmNEGnO6bPPw8B5pdcL2vhC2Xi5cUCDP3Wj2nn33daz2gAMt/ybHUTorK8aniSbPKgmUji4baLqECquEw+wIUH59JSRg/X5GRkw3j/sAbUu6MWdBOrSR8I2EwvpEaOkAj9gS53RUwgC0X27SYRrtr9vP/+2YthLp20nfFSL+uA1YcOMkUA9dPWqjXT7c5zD1HU34XABCK5pKs8z59MJDcuzM46fv6CsSsbTKZPZjHQwQKqMfHaHO2+974t2XHq+cKv2tpdXjms1XFpwICq+/Wd9E5qPDr3FMULgpAxp2bIF72LaQqQwiWCClJcLPYFX0VQUgHHAHD7qVXVpsFLprl/ORwW2yhfdta5rmxuI21DanHPoZMDw8AHlxSnaOdTQIK2hWC4RaU42npNN5qDSuMKCgi4QKidVGToZsrQOZ2rSJCPJBkilMc4iVYJQAqsszq29EdrKpL61EMeZqwV1qyhu8QfhMxqaKnAz9i/mHMFP5fkmlcY0DXk+wJW+Wrqpq8AFrRD4qATrYsXVnqkXIyEIfGo9YKG/4TbGeMMjSciGQ89/HHioUQmTJAMcq4tzTF2Q5ENm8yOETHFCBll2WRno/32VknrlRhwEo3Iwvn/A5N5BkJXddd4co/R27Wqn3s0K/W0BvSvv6byTzTmYTGa8+/4HvHz+DCc8/zQCkAJnHMcnp162GMsgy2jqmjTPePD2W5i6bqs5D4ZD0iwlSzN0kpDorqiOkN4rfn52QZYPiTkFni/fUZRr5vN9VJKErcOnZnrHKHisyQMrrQM4zA/PyxropYTwwJq1mKZBJxoZIo2kklRVxWq1whjH3nwPJWQwfi2NacJ+KFmuVt55uVrx9MkXfPLznzEY5hzdu8/dRw89Dzagoojs7S3RORX+ov1G+AjnVmdp99ZgTMqwV1vH/Udv83f//f+AdbFivS6Z7e+3vKutgRrlzTXz47ZzY9eave267t9n+5x+P1+1T79IrQXR4rNAD+xTfq5aGwC0kO3Wo0+JUbRKqlDYFR8YEOZmvLbDtufGfTamGLY5ZyIaDiGVUWkSqajriiTN22O8vLWbOvI14BdsvuNL79u1WuzGtHYIL0uaimbZoLIRMh31buGfXScp1tSYuvQojg1RztbQVAVK57RBBoGywja+RoBfL30dxfgiS1Igpc/+GY5TjCmwpg6ZBrl3MkdHjVS+/oCK/P2O6FCVIe082iCdmBReR5AK29QYaoRzKCXQSuOkwsqEJBsipGQ+GGOrJedPP6Wpy5CtJXHKR11LpXzxZiLFV4JUKQhfF0FluXcq9MZ5e7lsRL5tzc9r247tc+Mdb/y+eZ4fqw5MeZNaX+6InkDqS+nWcQebekcP/ZNE2e2NiZfHxxwc3kUlA+IZzoJpnAdm8wGPPvgmf+9/9D/m7OQlWMvTL75A1hXgOWa10ijlZUAEhPvUSASZEB2VVdWwXFdY4+vcHN71qeQvX7xAScnh0R2yLKEuS0+dUlW4zIPP3lHTre0ov/oRb639G+RGjICsqgprLUVRhNR6y8sXL1ku12R5zmDoHcWTvTlJPuTh2+8w2z9EyoR86Gltjo7ubryXvp1wVRNIlBqAAp040twwmc17QHZv3wn8zB5s8VR5SmdttDAt0tvZ4fHc7QJT4ZVvqv99+7FdKz09bOsYERwy7XUvXSd8j2sdd/E4uyV7+6DXlWMlxKVjfnl05stZ0LG9mj7RvdtuiXfg8GAwIMlSiqamqnxhxei4SdKEsqw8zVmonVQ3DUpIFosFRVGEjKGc8/Nz0jSlrmvG4wlnZ2e+CLm1jMYj1us1RVkyCVlwOvH2qMVRNT46Pw2F7axz/MZv/gbvf/ABR/fvc/f+fZRWmEC7+Mknn/D7v/f7XJyd8/z5M548fcpoOEIpycvnz1mvVlwcHLYA5MHRHcRs5rNQrQkOmh6eQ7Dbt/ed3v4bxy22qygPbuPE2AZ1t7G/7Xvd5ADp93M7EOkqPbUP/O7qfwRxYz9jJvWue8do3216CV8E0M+bpmnawnj95499iZ91wTS0gPNt2ivTSoBDBaBMJppmHVKvhAweaRsiWWOasgcO00Tz4uLCP7hQVHWDkhqkj/oRIeIGIZASkiTlzqO3eetXPgSV06xeIK1lcXZBZlMPGBcLVucvEVgUAYwNsnZ7okAQ6ban5IbBkyEKVvYBTWdbMNYhfXRHiOjARa6QzfRI75Xt6DTae9sAv0hfxM8aS+Uc9w+POHv5gpef/YRUWc8VR29jCMZtNBQFdEC4nwEbE6JpalA+0tMhwMbIbdrigf6xQ5/ZDdhuT3qldVsErl0YrfITUnr6XhchfLqw84PZ57frjFLXbo5Raaf3znAucFGHn7bxXHBN7Sk0rKEs1pw884JrPJ8z2zvwQFWiSUYz7r//K6h82lODe9ZIGOg+ALxzwsdjCFzaAm4MYv0Fbf3HvGTEh5+mqRACkuEIU6whvHdCcQukj6RAhPfeN9p7QllG+hRoN0IhvGNFCoGxtjVeXSwW4S/kZYvsgEms84jfjpd0s5AHh0JlEwZKU6+WCFODMwyyAcO9OziZhjkogyHlz5etQiYROmW8dwTTA2xTYY3nITO2xmJ98UvTYNOUPNnz3v+mQSvhDdBWeY5yZlOJ3N774jqwPaDcOS+LlEzatEMXeFRVTHULTpTZwSGr45pyvaSpKtarZaDNiHx0Xla6NiqmHexAz2484Ow7752/waizpqEqCwSOJBugsgEySdH52KckGUNdet7IPMtJ0lmI4g4yMzqvXlMBvVGREx1tUDx+2xP9JoJLu9qfp+LeOj/Cz2ww4t6jt4kp4f4gy8XpGc+/eMZysWSxXFCXBaPhgIPDA+q6Jk9TsixDa02SJqSBNzFNA5e38oCuCMBoUVbMhEYIiVQWZ2rK9QohBWme+2heQCmBtSGiPO6DQZ4776kKWS7CX9+5to6AdT6yz0lHUfnillIK0jwD4UizOVJqfv7Tn3Hn4JAkST3gFhwfxtZeBlpLnufkecZoMmI8HnF47w4Hd+54edM34nvj6oHD7hO/v0pP0WQ9V7oT+CwjGZVy1/L2O0DolDv3H/sIS2MAG/lh2uik2xjXt223WVPddHmVddgZ0G/kuu2BqX0wAcCZaABIT/+AHyO/twZjQ6keBUjM2PF6ptYanSQtUGyNAeV1vTin2ohCwrj3u9YCVz4oI3JrA37Ohev0d9++/rn5eFvvxvWPE2G/ARsiozaacEidkwxn3ihK8k53DRfzt/NAj1DGg74i0JJZ4wvD2SJktdme7uLpNiLnPqGQMQHoFaJXVEpnJCrxY2kdznM6hHnr6e6k0gh6hZ/COratvh4fu8fHigSpkKlGmMT3r6lwtkHohCTNEa4BG4rmCc1wto8bNe0YCtUz10QwQoVEJBlKZYHGglbW9d/GLsDeuQgj9o7sA/8RxI0Il+uu3R3bPizu8gxo7+d6c+X2rIe/CG0D/t0E//p7bxivnubpHXbWUxL1dZCoC/tipRVZlhNtyXgvKQWuaTh5+Zyqqjg7PeXpk8/BWvIsQyQZwjUbend753ivaL+0uqQHhheLJUVRcn5+hhSSsixYLGA8GWGtYTwZ89Mf/whbNwxHg42U5W3wpQ0U2hFdV9e+VkbT1IEjde1B4rphvVjyxadf0FQNk7095nv73Hv8mHwyYjrfQ+qE6cF+yI7opuBu+R+icePr2hJUrfyK8x9Psxij6gWdve7HMmQEC4ETksi2SMA9Whnasx3bPTviD34g2p9tMVe6PsV309m83fvaeLprQN32kyvHZvM68ed1YFp77StAuTe1Obe1fl/jfNjSmeJe6fyckokmHwzI8hzT1NRVidKa0WhEkiRcXCzI8oy9+ZwnT560HOEvn79gNB53GefWMhqPPScxeO5hKdsMliZwdyutOT07I0k0eZ5zfnFBZfyecXB0yKP7D5nN57z11mMev/UWKIW1hh//6Z/yk5/8hI8/+YRnz57y7MlTHj96TJamrNdrFmfnZDpB5znj8bjN4k6ThPOzM7I85/PPP+fug4d857vf6a2FDlvy9KyX8aWrbPb+/rRtr+1qXUSs2DmHt+VS/7jN99qBun0sb7t//WtuA83bfdgGwPvcwlcBxfF54vX7Resiq0Fd1yRJgrW2pRBqKcV6TroIAiulerrWq9m9r0YrEZQzCzipvbfaLlHBsJLCVyTGBcXSWbA1zsFqsfRRwirBuioGHvpKikJ67jThENIbdcPZPu9/+JdJRjOcC8XlQuXSPJE0dcl4/wgrJPXyGI0nwHe2ooU9RdigXU8hEVHAd8CVc76YSwiXxOJtKOG2J3Pk5fWAFjiMsS3CD7QgKXhhIoVCpylN/NwaVmXF/MFdnn/+GauXXzDMvOGJMAjp1SfhhE9VJ4Ku/v4b1Q1dx51ijMFZRxKKUZmmwSvSqls0OzaE9tVuCc3OaPATzdG9X2kbv6EKH+mNlS2vXdyhfXVs2iiZvhcm7oJxM+9v3s51BQ39P4MzNTZyVdkGGkG1Kjh7eUxRlQxnM2YHB77QXZqiBkPuvPNN5GCCj5TsRUYKhwndlHFXv+3U32pfpWH9dTfrPPeRFJdVeAdYIXHlguWzz3BFgWkMTngeTw/C+KreNig6kSta0Js7/QgCfNpzLKyjVAIIz6MXgH+npI8sDA4kH+Xnq467UGFd4SuC9yPQr2rb3rP2+Zx/ZqGHZNMc05TYukapBCkD9UOr0W238GxB9iElKk1QgHYO5wxNXVJbgxI+Bc/aBhM8xo1xCBGBcoEKzxstiRhrIsRm1EHfwRT77xDIJPW8hQTD0Mb3EY1VR71aILMUoRLS4Zh1dUxdrCkAnWUkSRKeLBq7/t34Td2FDb0n/5zvpzOGpqyoiovA95aTTY/I53dCKkxBsbpAKc1gPPNGtxOBQsRtjOd1bef7u8EJsN36Vabjsdue1Zsi0v+iXd+2FSER1ntrKVlf3ftHf/QnnDx/wXqxoipLtFIMhkMGgwEqydBBgZFKeiqJJEEnic8gktHqFqGwk0HJIEeIBbrg5WLFweERSmqE8NQnpqn8GpGirSqvtaYO6dhxbsR54NPhQlGL4HSRSoVn8gVki6JqMQEpJTpNefr8Bffu3qVuLFZ4o1gIT0Hx7NlzEq158PZbDAe+wvz9+/c37t+BtOEjETKBrOUH/+JfcHZ8TFNVaK1YLBakOuHu3SMmsxmD8Yg79+6TDgb+OWR7AaLWY2NhnZ6b1NpuHcR391XMgV2t0zfgTdkvv+rWAhe95lxDU6yQaIwQJMMxZrUGU3nHREAjfPq5L9omg8EVCw3392QnIh2QwloZdFh3achb3a+byOAEzuABzJAmGnoZkBnV+yxeMvw36pQyUoRtPTe9S+Ezk/pj4s8JxlUyQPWBjhZpDbd3EDkppEw6fVJFw6vBB1AIpM4Q+DRtIbsCusKBUB1YSQRm2k57maGkQIjk0vzeMhvbdHbRfnvFvhJ1YakQQiO0xtnGF8o0NU2xDO9ShSKbCSrVAVwSINM2uxKl28LZiA7gjbpCBKZE78bbz7GhU211WbQA1+5HEVvHXvqw/9jB+I2UCq+gdv/5N2H9vxYNvObQHjjhZ2VHw9FvMWLM8+smnhd469JSCD75+GP+/v/l/8RsOkUIyXKxYDgccu/ekc+uyZIACHR9E0TH5iZnpzGWqqpDdGLpC785GI2HTCdTBsOM1WpFmuWsVivefvttnj95Sl3XOwGT7RTsfjCDNa4tOFdVFXVTUZZFCw431vH06Qtevjzh4O5dHr3/Pt/49re5+/ARMknbLDiiTLh23P1EtdbQ1A1JjJ7ugeOigwOg3QPDPhn0+nYZhEnvnI/K9jl7snuHQgTmp6iTB9tCylBDiFZ/7k7ZDUbB5UjWvn4qo4NQeLl5VRDXLvBs1568C2jbdBRd3bb1vDexvSrQvT0u/u/OoR9lQrsGQqHubJAHh60jHw58jQcpSJKE/f19ksRTTXx7b05ZlDjnePz4MdZaPv74Y4qiIEkyzs/Pefr0KUmSsLe/HwotO4rKO1r2D/Y5ODzk7v37rFcr7j+4x/zggNFwiBSC+XyPsij52Ucf8fT5C/4//+y/4pNPP6Wua5bLJc455vM51lru3jliPp0xGY959uwZ947uslgsSJRmcX5BlmVcnJ17/G2QI3D8i9/9Xf7Gf+PfoSwKdJoiZeJLekiBcPLS/Nx2SGx/tj3Wu87dfj/boHL/Xe+6XvzuNg6RXSBv/1pXAdLb5+6eR9FO6K7Rp4aIuF48Pjr4t2n1qqoCuORs7wPPm9e6fWjjq9FKBInnggKaphmV8IaUcOB0AHsMId068okaTOPpAEzT+MjiPmgpJUIotJQo5Rjv7fHN7/8VZvceI0QKzhc9WtUNw719lIB1teL8/BilvMEnHQhhw+DW3UsNSrAAz10qZSt0u/flEKEYkwnH2KCg9iNiu0kYUP4e1UIEiJ1zoSiT51CWSmGlIBtPWRdrysaiR3OybMiL489IU4mOgHMAMftKpr9l9CiENJ44buHlN+GnUr7fNH5X7EcKR1L7/kKKXon4e/y82zBCIT6haEIUr0xSz8uqfKVpV5cIEegA4iYWFP7ImxQu3I71dosAvojRqbEPzmBNg218apM1PuW9LEuePXvOanFBNhyxf3iHdJCj0gHJZJ/9h28xmN3BCol0JijQvSIC9jKdRh/k3NHBzT/fyL1RXKPbCoSrOX/xKU258oQCQQmK69RaPMAiBAjVvqerqiKrmBLb+yyuo2gouN5nfjp3EQBtxEAPtLxOSbxKYdn4XAgcCp0koDsj7nKC5Q5Dqj1yU8gLoUlzSVMXLScgwjtR0iQlAuGRHzDy+Iq2cvruubdhaAQFuRX0hCgi7z3yafdCtMp0kmhkmiPG+zg8oLZeLSnKNaJc++ez/nOpPX+yCZ5I6yxaq+CVlKEWp6VualzTYOsGpQTJcMrkzkPSwcTzC0uHsJAPpqgkwwnt35kUIQNg9wYfWys/b3ift2l94A02lYHN497IhfwKgF7f+v96WsSYWqypL2YcVEXB8YsX1FXFxfk5VVUymY7IBrkHX0PGkNLe8ZtlGUmWtvLBtNuGQymNbSqU6gqpCilxjcUaH6HbGAuIkLUE0QETawrUVd3yCEfbsHOK+P0+Plh8DgE4IWhCgQcCJ3nTGKazPUYPxyipuTg/xzSNTx83hrKq0cHxYhrD0d0jvvj8M37+85/znV+bd0BaT1UJwxYe2XL88gVnL16SKklVltR1yVlZcfHyBQ8ePWAyn3NyfMzs4IDxdMJoNPLVrIsyOPcc9+7fD3NGUBRrPv74E775zW8EfYU2Tbj/4l7FjtqWVdvX8N910VPdZ7uN2P4xnTP5TW+b+5cQAlNV2FBvA3yBz/Bl5/gPSn7MNml1TOc5dhER9PT/laGYM1LgC3UE+RvoyjzgHPcgH81qhPDMqgFo9OCVDnpOmx/W9X370fpAbjSI6H+0JXf7FGXbl9raY/vj5Z8yPqfszY+wN0qBFFkLDLU6Xpj77T7bA5x6s3XHs/XlZ++bDUBlMyI39nXXPtfKyAhMIREyQUsHOsXhfDxyLC7tFQbfCwGCLhq8fT53tV4U77LdlZscOt0Y0Ru/zet2NsLW51xe09G49d1+A9dz291e3/vG/hWn9Z+0k+ndHJFS+jW8CbX7eSLh6N5dJqMRCkueDShWK6z1gGuapUTN1fPsi1Z/Eu0aVm3UWVFUnJ2ds1ysWCxWvHj+nFngngdHkibYhSGIABDCFy+WCtOYYDd3hZC2QZ34r24amrqhLHwhVl8oq8Zav/eu1mvqxlKUJXcePuB7f/m3+N5v/CZpOkBIb6O2gC7Blla6G5edG5OjLEqePXvKo4eP2sCAiFfE3+M6kZ6XKeDKcZV076yVE60cCSneqiueLkSX/YfobMJWF9qeAPH6orNnTNMESqzNtbI9g2KU8VVtV0Gt2+rPNzl1/6L1mqPLDAl7o//YBZq+8H2LN4g2yrMsS87Oz1FKU5UnWGt9NDCQJAnr5YrBYMDh4SHHx8fMZns8fPiQDz/8kCRJKIsKIQSDwYCirlgulwgpef7c8wM/fPiAzz79jN/9578LUrBer3HWUqwKnPN0BOui4MH9+5RV5TE5YzB1jZCSpm747NNPybKMvb096rpmb2+P+XzOYrFAKUVRFAyHQ4wxPHnyhCeff44LtGvLxYLpbE5V1b6YquyCHnaBtLsKvF0F/t5k7+wCZ687brsP2+tmmx5GCHGJjqG/xm7jXNkGmbcdan2gO8ru2Jd477q1PzzmGa8RC9A1oQDhNlWFt1WaSw7Dm9rrFaTzW5LnPmsBN+sLVUnhA1YMKJViFdRlgTH+OGs8fYKLxamc86dIh1QwPjjiV/7KX+fonW8i0ETpWhQVMhswHE+o1ktwFrO+oKoKEiVB6l7xmT5fB17BCqk80Wi5VA3QNVQkSJ1gmwrZKxjVf3kRUupvlt3k8BuQFAqhvBBx1qG0j/4YzA5IBiMm4ynHn39KYgt0IgN2qXz0prM40VVAFQKMNSESKOj8xraFn2JfOuWLTlnvT2B2L4o+MNxvNhgWjQOZ5Ezm+zhjaYql56JqVgicj66QfSxGEAt6tWp1HB/Rm5h9qzj8bRrT/u4ag7GNj6wwvtq7bRrKsuL505ecn54znoyZH3gqCZEkjA7vcvj42+h8ACh8aSGJdV3BEIDoZLnNou63drFFRcC+OdGHUkhfN9tFsKSvEFnq9YKmWJFkqc94bIsu+PWSTSZUVYWSynNc11ULshOUf8/fFyPrw9t1HRm6MSaAosHc7AmrzrNFoEZovIEKXWTS1t5wEyB8yVhzbemYHsDfwpE3goW7ABCIhvqAxq1bYy0bTDyYFUBYGxwd0vk53nKSB45fKZN2fvre0F9UGGt8FKP0VdFVklKV6+CASvyaE6B0Sl2ssVVNko8wpiLDF9txxtBUviiIqcu2+nqcw9YaTFVhVg2lNW1qvQ5VdtGaZDAkGc0YTvaoLZSrcxKlUGqITId+rFuZ01rDO8ey/55i2sz2c79u2+Wp7f/9y9JeVYZ9DT3obzddCwZQPhjwl77/ff7JP/q/k6UpSgqyQc5wPCLNMrSUpJmPRtBJgkx0SM/2+7hznkIhGq1V2XgQRUtkAEuKpgpgbzDgHCwWC7JUk6YDABaLC7RSJCoWlMpbQNh6rT90ezOzJqb4ydbZFeastVghefsb30AmCXVZUdQN1cUFSZJwvl6zWq8xOIZZzunJMavVguX5OR9/9FP2Dg+5/+jtMH6bAJTAO3ywgnv37zEe5GgExWpJVRa4xrBYLHw2TVWhpODs+AVSOi5Ojzl++ZLFxQKd5SRpxt7+Hnk+aO/VxGiwGD3MtvL6GrPgmjUV06ijQb197HVA1ev25xeubag7XuKaukRKEFpjiXuewroGpXUIZvDIgw1BFS4EJSRJGuhEwh5NP63R+sidcEuf3tkDFQO1SASgVeKL5GG29YLewt5+Z/Fx+gBIBGN3tXDcTU7e7bnYw0J7QO4mVtLXeaOh7h0/m6DP9n123nu7z6/aRO/aVxmzGz0I+rLodBwXgkW8beTaBdA9/2ZP45huAJEbY7gLpaL3Trp32VfLo15wKYJqx0/RO367dU4Juhu+YS3ytMfWfwSv5zqs6L/V7siNuetC8BFep3PW7jrJB2ikmsnhPnujEYuzpU8rbmpW5ZrxZOKzPxy+nmSwR2OzwTZtGl+n5fz01APDF2uOX54wzAcMh0OyLEUrydNnPsXdOYvSiiRNqOqGoRM0ISincwhs0klE/aNpGtZFgWksVekj2owxmMaSqIS6qHn59AV1bTi694CH773Hr/2l75Nlw82H78kTqTYhiuhgMdZgjSXRiqYqOXn5nKPDA4S4enJtOKOijtpOR8/H3DR1a0v3MQStFaZ1IEW9lXbyi/466hbExr03HVqeOnOXXnrdZ9t/939eWqc36Lzbx95WL/4L0HiriShM/Q8pNUmSoLXCBU7/SAW1Xq+RQnYR+cAqALknJyd89NFHWGv5yU8+YrlctlQCTe3txuFoSJKmrFdrjk+OSdKUqq744R/8AePJmDRNObu4IA80bUpKiqJASYltGv74j/6Yv/E7v8PLFy9o6ppBPkBpRbEuePzoEcvlMnAcjxFCcHFxwfPnz9nb2+PRo0ckScIf/eEP+fjTT/hf/K/+l7z97rvYpiFLU1arJWk+8DLH+fkdF8FNYOp28bTYbpprfVnUP/42To/tAIW4hraB6+ucLa+zFuJ82D4/3idSQcRjIl2EEKIFeTsZkrR9l7094FXHcVd7LXBYtBKxVxWvifxe/nOlNY0VZJN9rDuhMV9gAesMLlRPlYG/VOOQWcL44IDv/NZvc+etb4DQCOuI0bT5cOI9Hs75KLjlAu0apG1oDBjR4Cei3QRsg5AWPbC3/3K6gVMIkZIORpSLU3Zt6tstUkv0BbZzPorWASrxiL6zUFxcYFLHo3uPefn5p5RnL0ll5Fb1tAxSC6zxHM5RmWo3X2v8cbEKuxAtL2tUqIWU3lsjxcYE7y/KCPrG/nojxOCQPpXWgcFfX+mcwWhCU1ecPX+GKFckGKSwgZtOYqI3Voq2CIpDtimGXlpGkNHFgWsVURc57pz1hf6MAWexpsGZUHLI+QJ1ZVHw/OkLzs4vmM722DvcZzAaQJIxmN9h/9EHyKBotATpEYjsGQ9fuu1Q5n7hm7cYYOfzC+qyIlYtF1L4IkkuVE/HURXeA0mgm2jB3AiaiOgUCFfsAahKyS6Sr30XW0pP/I+Iylc3V4xpUIEjsO3xLQCG6/4Wvf96sXX9uVcrT6L17Osko3bgTI0Qzhfj1AlCpeAsdVkgTIxat2AbbOMwTR24Ej3Fg9IJsRK6tdY7hyJHmtChEKj1GRBSIGVChL2lzpBJg7UVTQWD8YwkG9KszqBpsEPXehIFIJylsZZ0MMQaE9Lz6gDYeidZkmQkg5wkG6KzMc4ZqqIE4eWyB7ZVf7BaZ9T2fLhuw3od0HaXQrxrM//lAISvj+jcrRi5nfP7pvt8qSbAxPciBGcX55xdnFNVFXmWsr9/wGQ6RTjIkxyVJehE+6wj59OrXHgepXRPkTLh+cLcsjGjABCOui6xTmCM4+c//yl78xkPHr8N+HXUWIepGw+kWEizlBhxaIODArxBq7QOipjAOkNd1uHeEmOsL0aJ5Wy5ZO9gn2SQ8/Ddd1idX/D5Jx8HfnqJUonn+QbKsmC1XrN/54hnT55w5+59lE67Ue/P5fAuD48OQ9Ffh1A+mgtjsQ5WRYlVS8ZaM5kOuHt0hJCSxdk5WineeuctlNSBCguEFIxGI37te99rQQr3FSiRN06HLWPg3zzjsm+E0Op2pqkBT0MkgwMV4Xzkbyja7LPqLNI2HkgSPihDSE8z5DeJqNIpn9oqQGCwFgicwZ7jX7WRas5ZhA4BBU0TKKBChF64rvOVppEyBGl4RTO4RJ3P/IHA4d3hkVFv7occWDrdqwNo+kAqG0530fu+xVpE9/uGhBNX7c/dPLO96234drf6snHc1n26d3iFLI3P07tP2/8t4Lwbic1R6cDZoCO3OmzvvHBMfzw2amf0nq+j/qJ9d61q1XVhMxuu7WsviluEz+MFRPdZdE54kGyH8yf+C8cLrncQ/MK13jy9dh91m/Olo9sQmz/DwUpKivXKr8UtWrG4/83mMzSCLM/J85zTs1PqsqKpK/I89RHDahd44fezuqxZr0rWq4KmNlxcnKO0ZDYdMZtNyEdDBqMRVVPRlDXL+oKmblicn1OtljAfA6blNw+PGQqg+/XSBErDslhTVzVlUXqg1Rg/N4zlfHHGxWLh9YJQ0PF7H/4mWmdEm+AmfbAFc8L8afUEIB8OSbKMyBd8ExhKi1V060OG1H9jDHVTk2d5y7t+7Y7VLsKNzrZ93g7K+rLtdQId+pHFu4Cpv2iv2vpziRbTiD/bOjs48jxvozvrpGG9WiOEaKNwpZS8fPacpmkYDoeUZeltriShLD094Ww6p2ka6rrGNn5dDfKBtzv10NNNOairijxNA2bS4KwjSzNwoKRifz7nh7//+/yNv/7bzOdz/vE//scszxdMZ1POzs7aNQ4db+3du3f5kz/5E/b391FK8YMf/IBf/bVfZTwet5l/68UCpzTV4oIsG5AlaSvXoJt/163zCIy+qq64y0Gyfd4uIHj7+1026nYft/u0y6FzVR/71+/LhD4w3ccmY9YH0AK/8V/E8mKAavy974Dq3+eqYn/XtdcEh73SEtPDlNYY60KkgwtUCorR7IjpwQNOxUcorRC2QUmBsSF0OhEI50gGQ47eeZdv/PpfZbp/r+XPjMqnwKGTDGMsX3zyMzA1qU4wRRMUY4egwfPzdmkW/iLhxYTF3CeG7l6K9dWDMVTLc5ToOPk2nrtVroJ3QUSgRwS+IYFQklRpXLi2CdG9BhhNxrimYXV2TCZ9kQwhOnoN2/gCfhvjHHfgVmncTPePz9L10Z8UUwSjgU68clDmhCCkLPrPnABkAGjJGczmJKni9PlzRF2gnKFuKoqy9MZEb3ykVIEzWgZhpVvPR0yjj5zEcVJbFwvsNKHfzkdE47mWrDGBE9in35RFwcvnL1kv1uRZxt7hPukgR6Q548OHHDx6H5HmCOELQLjAZU335O2YXjmvdwiFqxb9tvfpTWvbRk6MPBDOYgChUyQC0Xig0Ia5JIMVssvjFf5qP99ObUuStDMwRHdu6yCgdwnhDRPrDEIojDUokmufqe8tu40HsbvZ675DsfHDCUWSZTSVwNkaHDR1BZWXP0mSYWQAuJw3DqSUOKUC9U7t+ZBN3UZAtkqHlCid9ihxLDiBkineDA/PIBU6G2KqNaYpaIAkHyOFxtRrRChWICMY4AwpgiQb+GtKhTEhrYW46WiwjsZUrMsFCkk6GCB1Ai4UmaMzAl9rJMU2dc/tIhmue8+vEg3xJrRXETUu7kev8fhfWqS54KqwlnJd8PFPPwIBSZoyHI2ZTmZIoUhSH6EkA39mLMjqnEMJb/QSgB+pPA+/tYY0ybxskNY7L3LNIE05fvKEp89e0DSG45MT3nn8duB29Aq1B0MdOMeyaVitBVIrVJK0CpcL+kK/joBSmqYu/Z4mPCqT5xkyUaxXC0aTkY9QljCcTTg093h+/IKqLhjmOVp4A+CTTz7m4PCIdz94n8nefhvBGbbkrTH0e+edO0csFxeUqxX5cEhT15ycvWS5WHK+WLJcFxzcPeLv/re/i869Y/St97+JVop8NAwX81pU664VXRbU9eujJ6hf6fVvPkw/Be6XaT2+Sts1kjGYQintv5MK46zPOrMWpROQPnpdKYkxEq1TVMySa7cu7wBK0oQI5PTXvg/gEK3+6DPrTMu06djkrhUR1QytK6B6GVW9UlTs2FYvgz09QLmnAnjMpqezXkLdrpNR/f0j9vGKeSc2/9jER3tg7RXPcPmaYudy6Rujl/e5Tczw2gilnh6/05AVWw/VPv/W/Ns6biOae+v2rc2z0e9IZ9EetHHqznXeszuuog75RWyds+7mYyXdfGlN8RYg7q4nhacITLTm/PSUi/MTJrPDTQAi/BtNxhTnF4wmYy6WFwzrIUp4OgolBVJ4CrhL88oYbGOoy4bF+YqmcZydnWGt5eDggOlkTDocMto/YDSdcnjvAT/58Y9DYIDibLFiuV5Tl6XnLWfT5rF0UXZ101CWNbZqqKvaF2tuDHVd0TSGcl2wXCwx1nHn6C7ZcIRxgtPTE0az6au/FOc2ABSlE+bzvVu9q9j3FjTpbb6NaTwHtJTeWe16uG98sVvTWsaVE0RUl728WTfkOsDqur+vAqq2wa7r9tWb9txXCaS46V7/JrQWl2nb5n4ohEAmGp0mfh1aS1EUpGnKarnGWMtgMGCxWLS8s8PhEGstVQiAdE60RcdGoxF15SkLm8ZnfiqlGA4HoaBkiXGWwzuekiLPUtI0bXVfYwxN06CVZrVYMBoM+Wf/9P/N8fEx+/v77M/nvsaHUmR5xiD0ZblccufOHay1fPvb3+bZs2fM5nMGgwFffP6Fp8wQPmMgHwywHhUnSRLP192joIFNB8VXHZDQv/YuoHcX4NzibgE3aLNXr5nfu+5x2/5vYo7ddSLAG6OCu0w7sQH89p07Vzl7+iwH288agIRb9RVeAxyOemMfdNRJinV+Q1JCUouE8cFdstkdUBnTwwfM773NcrFCLte4uiZNE/I0IxnP+ODD3+DRe99B5fMgfPu8RvFvhzMV67MXSOewyQCcJU0SaKoA1NICit3LCCHZQYh3Htr+4AkMArUR39A9cNRzjfFFvTzwqXAiRPgKgdZpB5A4F4olhxcvHOl0zt7hEc8//wRpG59OKH2EtXPhnrF6qrPE6A0ZUpCEEAip2/5EZct33/WcVt0m5oRoi5S081cQgFrayAOcQGBpkFitmMzuUBYFFy8+RwNNuaYo1qxWa1YXF9RF4VMHAjF2ng9J8wHZICfNUhrVcWm1BYUIHMZBOXLBqLGRy1hGKhDhgV3nC61Ya1ktlpyfnXF+eoaUmsOjI5JBjsyH7D98j8nRI2Q6QCCQzgZuXF+A5/XhqssCZdsweJOMXeMMjalbfkkVIoJjOmIsiuEBetF+boNREp+3sQ1KyhDRJHtCR7SODiFiBU1viNZhY4o8TODXZUxr7Y+h5/bSxPUpWntr0+u+a5PZ9X52ndM/9raCfdvAu3RuXJcodJpjbeJBViGQzuCs51vXSYJFeL4xIbwjTDqctqg0cGwHAFf0eCKFSkIEl1+0QlgIUcP9ghrec6TR6RgpS+qmxhQXKJ2iBwNMXYW0fYkOFeGR4JzFVDWYxkcQFw1SeudVbRvAoJKUUT5veVn6IP/mH914vwrAuz3eu37fddx1c+Cqe+2aH78M7bJSdLvzvsqxcICzlqdffM6f/MEfcPz8Kdo5RJIwGAwQgJahyIKKewRY05DqDKUDh6Lw3/lilpbVes3ZySn3791DOOt5zcMcOzk+xjYNSioO7t/ng+9+yN58HysdqU7ImpAaa7v9sTGGs7NzkkSTpilZlqGTBEFQFGOZcoOnXwkUF4kCJXw6YD4akaZpwNYkOMnewR1+9cMPcabh7OSYLz79hFE65tvf+VWWqzVFZXg43/fy0InL78hFGSlI0pS7d+9z8uI5ZVEyyHMO9veRQrBYFRgn+db3fpXxdBKq6MJ0b88X5OtFFrTzog9gBb1jc834nzZk8fQjSb5suwwO/vKtv+0WdbtWZ9sIM3Nt/UAHoBSjySGr8xOELbA4tFQ459NTldaoGN0rOxnmjGjfkxCyXU9Cdu+6LVgqItDo16hUGiEVOsswdUV7UNDTiE6TjXfn++9w1FVNmqbsbAGEbKNXbz1qHc+u/2s3uNKOG5tyLx7XNM1XM39bm4cOMIr6d+/zcOjXAnvedj+8zfmvc+5rrdVdt4yXeUPX/pWA3RZgHn9v54PbdFJIqcBpRuMxz58/YzI7oD9gUVo3xnFycsrdo3uMJxOqsvT0TCpGkPl1Him5RIwkM5ayKFkt11SV5ygt1gXjyYTJbMr88Ijp/gHzu3fRaY4Avj2akiQpxhjuPn7M7/3u73owKB+0FHARtI6BT7VpKKuK9bqAxtBUFXVVUxQFq9WKly9fkqgUISRpnqGTlMM7h6TDIT//+U84enCPNBuy3a7Wz11rw7f7WoxODP/ZJrfZmL8bQDobC1YpT3lnTNOldG+8623cIL5Y0eIi2/fdtW47HXRzGfx566R/3vf/qtu2Q/qq57utaOxsLNfOsTgjpJKYpsbHyAlw1uujSoAT3v51gvF4zHDoOD09ZW9/zvHJCThIx2Muzi+4WC0xzmIan9Wtk4T1akVZVwxCQePV0tMXLhYX6FyT5zllXXF8/BLrLHmeUjcN6/WSujTs7+/zxRdf8NZbb/G93/kdfv6zn/HkyROGw2EbbToejqjrBuEEq4sVQgnvbA72597+HgcHB/xbf/NvMJ/PePDoIZPZnET7+iAICaF4cxvUFSixoMNKdtlfVwUE7QJ0+8fftu0K5Ouvzfj7LsfHdWD2TfjQ9rGXHcP+u5Zikk1cKYLA8R1FRwLQchJf1b9tp1HX19tnL7yy5tRfWs75e9W1IR0OadYljXNM7zwkm90JwI5DDic8/s5vMpof8NEP/2tWF+foRDM/uM/j73zI7O4DhEgRMUS2ldrxRv73uioZqLAZOIPBE32nUra+b+tsqNiN3wiUxDYdW1AfcY9RqwAuVCbFeQ+iEh06377YoOx60Ebii4H4/loTfjobBL4vyuXwLz9Lck6ev6Q4OyFVBAW+Z4Q6As9xFDfRY6D854E3Lm7M7bsIRqn/zG0q0iJeTQR9X7SGe/t7KDrn98ic8d4hi/PnUCxJrWUdAOHT4xMuzk9RSqETTZJlqERTlSWnpyfU9Qt0oskHOcPhkOFwSJqmpJkOBqrb6EMEfoWI6UG+D774gcLUNU1Vs7hYcHF+DtZ5RWU6JhmNUKMZR4/fZ3J4H1Tq51l4F04oWoukBdPilLi9YLlq8b2JzTmHddanpIoYudETZlL5IoxSeX3HNB5E3Erz0GmKMyFdRGmE8PMWvMLrXIwY1i0woVSsIAzREQB0qWpBQfMCMXASCx+JLoQMClqYySLM2S3LY5cyeRuD6lXAy13Kxe6NLRSjlK7lWEcZbFNSNxVSKZI0FBSxFmcbX3zRirDWVVA2vUPFj1ccDw/cW+fQSdrjeO5tPgTjPhmQ6gznvPe6qZogjwDX0DQLYmEuzzdc4AClvRfZSuH5s1TaRnX6p+sZQq5b0zeN5fYG2fei3iYiYadRdst1ucuoe9PX9FWtb3R0z30ZvO+3L6N89c/3xho0rmY8GTGbT1meHiNGQ4y1aCVomgrcEGsaqsqilCGTguF4DEKgtI86EAhUiFpH+N89YOl5BsuiQktNVdYYJ7j38DHD+T57h3eRSerXj/D723T/TltHID6pMQ3L8wuIHP5N0xazlUKCDYqW9WtKCuV1Ceeo6gadZUxne14W9pxZOMFsbx/nLJO9fe6/9TZnL4/5/MnvU1Q1d+89pHWkSQ8Oi7hXxR8BdZJKM5nNUVpx+uIlzlhc6tMLx9OU4XjKeDImOutFSC8UgNJelkslWx1ge55s9BvavniaKP1aSNfm/PEObCk3QfCr5tsvk3EaW9M0JFq3afXOEVmCcK4hyTPqsgRbsz5/jm2CTmgb6qryzkancbbGhndjTcdlSKChAInDtgCRkKLdC4QI+7iQgAXrEDIBGXTpqvC0TULhpC8QLYjzJuxxog+7eH07AsM7HXG0qvvOdtX+fKuCv2F/bM/ZMj6vu8+rOPVdb4247teg97Pxebv3cnk8viy4e1P7MsDObfvT37N3G9FBxgQAvYui7AxWnM/qe1NaZy9avx6uAZp2BiT0dWyxtU/qhKP7Dzi/WIax3bx3muZ893u/ydPZPp9/8rEv5m4adDIMYBNtxF881RmLc5a6DgBtsaRqKs5OzsjzjNl8D52POXz8FrO9PZTUOF9hnuF44gNFrGM0mrG3v8dwNGA0HgXQp6NG8NHBDU1VY6qael3Q1DVN3fDy+AXFcuV5UqXESMfebMx4PGU4nSKUpKorJtNZyOS9Xjfpt7qug4Osm7cb0XL9DX7HOxEi/qd9QUGnjtZzdAS71rZvHVAB4N94w7fv+ka7ah1dDYpvtqvBny/frpOPffzkTWxf1ga4pEmLQLFijJ8ZztMEaqXI8pTVcomSijzPOT+7QAhJVdccHBxwcn7Co7ce8enHn3BxccHx8TF37x5xcbHwEb+NoSxLpJQMh76ey/n5uV9XrsvCPj8/J8szhBDMJlNevnyJThJGwxHSVaxXK77xwQd88MEHPH3yhP39fZ49e0ae51RVxcHBAaenp8yme5RlycVywWA0RDhYrlcMh56XOFGaf/j3/z4/+MEP+Lt/779DmqRcnJ2js4xs4GVSWwerdSMBrleANox3xAb64GlfNt4Exl737m56x/FvY8ylPu1yKGz3/XVbHwC+au1ug8f9Y5MkaZ1iu87p928XjUQ897btFcFh1/5zQTeSUkGao9IB1jhc40jyYfeAeIVUDeccvjdi/9G7NGWFkJJ0OAaVdFEJQcvaCJsOwlygcLZGigSDQTqDxNEYS+m8QBdChGgi24Ir1thg7IkW1AijhzDtlhoqnIbBi6u/B1ohfeVoKWTv5eEjkWwATKzzSrUM13eG2sJgvk9d1azPT0m09KBxAIdV5F9WXklHeCXcWolIPPeov1FXrA02FbX4d/t5eKp+Vej+zxaUISwI21C5hOnhIRenL6Ba4ZqG9XLN4vyC4xcvWa+WzPcPmMxm6CTxm6Q11FWJqRvOTk5ZLRecn51ycXbmvVHjMePJpKO4wLXRYNY6hPKgt5IKraTnqJKCsqowtaGuKqqywhiYH9zl4K232bv3EJ0PGY5nqHRApLLoawW+xFCb8HMJCH2VdpPh+qYATDG6oP07AEhxjSmtPf+lqdrijVcBef786CQRPWVMtNzC/crG/bSH9vdeVc12jYW5K5XyBkRQ9jYiMl7hmV9HoN/mnOs8nNufdSm5oUCBM9impjZrXADKZQDBhXN+3squcFMEdSJo4xUCh0pSpExbwP2qfniudYVsJX10LNkNmWKtI0mHG3Q1/lgJqKCMXK+EdpEcPYPohnHs+nm1MnpbAP/SO2mV/q3+/UXb2frrE76MbPM0EEmaIKQgyzLEeMRiscA4Q9XUlHVNIhIGWc5gNEYnCWXTMBgMMc62UetN4x1RSnmwcjga8+LlC6qiYjyasqwLirLmzoPH7N27x2gyxQmNkzpoKrIDPnvPY/HZPUJnCGFpqhqpJSoanCErpqnr4IjxxnhT1yG7Avbm+6TZoDUqRQCHOj5Y7yBCKhbrkot1wW99/7cYT2bE9K6rlpMHWYKOoDWT6ZwsyTk9PcFUJTpNGU3njCdzXxhYCl8QyfXWXLh2Bwxvv89gEm9918qaXae8Ztv1nLdd21H+vYlNCO/siJMwgmh+eghfKbzyEbuy3W87Y8kaQ71ahD06uRRN0sq5qP9xhU4oOodezCa7hEaJoA+G3+O+4Jzbihy++lk3jKstoOam87ZbX25vGzv9o69yGkY6k6/KKfhlANjrrrn9+6vc5zZraNtO+KqfodURgS6KcreufDvN4BepXaZZ2dVaKGSHohqXPGFtSBmzGiWj4YSqshvHimB7OimYHeyjhOWLzz6hqSqyNCXNfTFKnfjCV0LKUDxYYp2lMYaq8sW7m8ZycnyCVDCdTcmHQx6+/Q6jyRQhtdezW7kAOEuxWvCTH/0x08mI8XgQAhm692yNxTaGsihZLhfUZc3i4oLTkxMWF15WrVdrptMZ+/fugXCM8pwsyxnPp0wOj5jvHzKZz9l0rO5ax93v1voaBNtzvg+MeFu9swSjEyfGesZI4Ev64q43L0T7Tre/b2VdxAleYY/6KtbfX+ixN7dtjOTLts7M7e1t8Vch0GiksEjjo+QHwyHrYo2QmrL01AvL5QprLXfu3OHzJ1/w8fITUq1RuWL44AHL5ZIqUFCs6xpcoB8UjtFoRKIVxy+OEULSGA9Gj0YjjGmYjMYsF0tmkxkATdWQ5wOstRwfH/Ov//W/ZrFYtDIoSRKyLOPp06donbAq1gyGQ5qLMybzGR988B7Pnj+nbqkuvD5ijeH/+p/9Z6Rpyl/5K3+N+XSKTlPqJtr7PpfV25jduO0Chvvg51V29CWH2xV73quuid0Us5epL24DQveP3QXAbgPBQoidGEl/LFpHXBir7WJzV1FgXDVmr+rYeSVwOMIKIhg+qIRkOEQYg05StFKkQiITjS8I1uu8lSBT5ECjBrIz2pwNCywY8s4bbS5KZBEfKETrYsLDRkXagxnGet5gz1XrWsqGoC63IFgXc+h8YafAf0tvouok8YpyBIKt884PEXvZDUg0BgEQMmzUFifByIzBeI5wkpMXn5IrgY5RzqGQl1YKY3wKviFEEzmLUrReZyEF2G5y9flHNiad6Pw12wuuD5a05znnC+BZy/DwLsuLM1y5whlDsVyzuDjjs08/Q0rJ0f17jOYzpNY+QhTlo1eSAZgGoVIm8znFesXF6SnL1YrnT5+zPF9gwiTXSmFD9c64MKWUDIYDpISqrkmylKpqUCrBWks6GDCbH/Dg/e9w550PkDr1C8N10eJRUseIBL94rpjDPePldTbYr8KD9OfSnB9/4eJ8YUPjESIUQYtevjCyMqwdr//4yHiplAcRwzHGWrROfWxFiASIBSsue7C8welpLOK6oXU2CCHbiuxOeIXQbzZ93sOrx/913+l153aOru7vq4Rs31jvjgmjJxQiyMemWWPNGlNbLH4sfZaAoqNDCXJCEKgm/LtQSY5UOsjQq1NLugfYMKXDscpH2PuDkUG+bTx3u7PfDOLG7/oOhV3fX3WNq87b/vuVFINoaV3hUHvT8Kbbzu2NV3/rc273jm/VhAChUGnGg8dvMRwM+OLTT1mWJZWziLohqxtkmuNkghUSkaQIa8nGY7I89wZo3RBB1GyQ4RZnJKscW1VMZmOS1Be+eLS/T5Llfr8X0aHiPFBBB7j19wrhvHI4Go/BWuqyQghfNK5pGubzPYqi4OSLL5jNp9QBwFtXNdYYkiwnyQZt4cg2kFDQRj7G9aOk5K233+buvXsMh8MgH/rDtWu8Y4cdOC8L08GAwyzl4vQEAUz3DhG9KLwOi+ue9CYM5qsCzuCy0StElHuXv78dKNxqK7x5q7VrSqrNvSDsp1L6NEycj053znnKL+FaxV9KhXAGhECqhLgHyAAIebqmoMs5FwrbhXTzsH/GgosiAr8dWtXqvX5OqtjDTucNn8SouSsVK7r32zmDbzc+2/Niex59GYfVq8i/2ziFb3vPVwUkXhfEuK3jdNfvr3OfmwIkBNvvs/c50Rp7g5oTOLsZ5bX9rjyIGOyv/jKnJ7kcCGS7KKLt4hBtofX2xNCkCLSAWtLUNXVZkGjJYJAhpCDNMi8/wrp2eF28qmuKdcFqVfgoxLrmYH/KYDRgvDfn6OGjQJkUX07Ubx3OGT76kz8mTySz0YDhYNDWzxHCZ7rWdU21LimLkvWyYHFxweeffcbJy2NGwxHD8YiHjx4zGI3JJmN0nvHjH/2INEn5b/7ah+zffeCzCTfmbrRTt/VY/3NXgfWN19QDT9zGMR2IG9/FxnoQPXEYhr+PRXjVXfRQ+63+XXqCm9vrFIfavu9V8uKqsfmyOt0bafN+1a2nhjg6Pc/TxUiMbUCC1D7DzTiLkJpVscYHN4LOMr774Yf8/GcfYQDbWCpTU1wsyPOMslijpcLUDYMsI9UJRVF6PloEWirSNGG1WjGbTamqitVqhXPgrCNPc4p1wXw+Rw68XDg5ObkUqTsa+WCNo6MjFosFZVXjpEClCf+T/9n/lPn+Hv/lf/lPMM5icSyWK6aTMe+//z6L5QIrPJXbnfv3PN1qGxgUlkmHpF+atxFAjVjMVevhqn3rOpv3VeZp/zr9sblK1u+yRbevd9VxfbxpFwDdB6r7P+PYmMBdrZRqnd794nO7+tPvV7xOklxft6nfXgkcbh8wCkqlSYcTaGowXgCn2RilBvjq9V0lPp9HFx8kQD3ucopRFykXEjhcFz5/fHLKMASKSiE9ICwkzvkXq6RAxRTKQP3gI4YtAuM9GUQONAFS+ArOIeRGisDdFhTv2Dx1Siw615MOvTGJNBNIgRKaRkjG032SbMD58QvyVKOsbdFpFwKUCwd1DUI60jwj0RJha+gBnP1J2ve+xO+2WwsUX+MBiWPmhMLmQxJnaFZnaGdYrUqK5ZpnT55QlWvuPXjAaDIi0Ykv3qM0Fo2QgrossHVFOgJnMpI8Z3Z4wNnLY5qyoq5rLi4uKNYFeSZ9cZ+mCdFhkmq9pqhqn76epdTOYp0iUQmj2YT5wR7ZaEQ+HqOl7sB5aVF4XuPoPHDtc256VHYt1uuE0q52ldflq47C+LpahFSt6yD1zQOkXw/WH+mjvUN0XQBcPPWH5xuOQt+4wFsYI32d59YVQgXKAh9F56uahnRXF+63cf/QQyE957RSwcDtnEDxObY9kTeBu9vtdaOJRNvP7a6Ly8dd6t8GYodUnhIiET4SwxlPqWOd86IzggjKRzG6EE0pVYZQu8X2LvBle/PYkCmXL7AlZyL9SIScXk9BvA4U6uTn7Zw1t33H8TmuXZ9vyNrdbv35ftXYvo5BsMu5cJWxseuc7gAvg5FwcHSXg8NDjh48YLVYsF6t+PjjTxgMR7z/rW/74qWJJh8MgmOpu74K2TUeODPkwyHDyZRhkqKTjMF4iksSTKSeCbqJh2vD/un8+cjN2dvtIwIrBNlwgBCQZEkwLiUGx/6dQ0aTMSeheEdT15y8PCbL8/ZZXVSIW+lk23u04IhWSDXcLEIXT95+D90wQgSJg64kFYynUw8eyqDLuO6sTjF3G36dPyvj7rp5dxkM2CVL39hleW1rDQRABGedUN4xIp1DCBd0si4owf8D51SIFI67OAipSOQm75wMRmrbhETqUCi4H8tpw9HBCQsghUYlOU1dE+I6fP5VoOhqATB2AxNXv/fd7/m6cXrV9lXoYLd1Qu66922NtF3X3nWfr1qnjPbTnzXAI4HoNPPghcUpGWqhvBmL3AXZ6nrCdKdu0QKsm2t9Cz4I13QtL+ni4pyf/OhHPHr8dneEa4/Emoaf/finFKslUgqm06m3wwK4Knvck40xNMawXK1ZrwuMMZyfX5AkCcPRiDQfcnTvgV/z7fzryVznKJYL6nLJZJwzyLPWsRTUUV9griwpyoq6MdSN4dnz55yenpGkKfcePCDJMvb3DxlMJkzvHPLovXf5K7/9O16WBLtchJv7Mdp0GPT11Pj3VTr7ti7k5ZS3b6MO205AcdkxsQ1ACedQW7ZJ3F6d2yHJwi3aLTjCA7eQAbHfV31323aT8+d2+/Hu73fJ+Telbc+bV7Xfd76b8N9oFUVHhBAE3m9ffB1gvS6o64oszymrmrKsMI1hfnBIUdUsi4JPfvYz5uMxeuKDt87OzsnzQVt4brVaIqUiTVPKsqQxDTrVzNIpUileHh+TZzmr1YpBPsBaR54OaCrD+eIEqSXT+cxHDAufIZykCWVdIZTk/sMHJEnCbD7n0Tvv8PDxI4q64h/+F/8Fx8fHzOdzpvM577z1Nv/n//Q/RQnBnaMjDu4esXdw6O87GuNrmYfASBtlo9/7t9dyHNv4frZpEnbZglfN1W0w9VXmfx+A7Z+/az192XW6PQ/jfrwNAsMmTU4/orh/jV2yb1ff+sB0/zlv014NHPbxbcEa8YqsyieeE7AuMetzkmyIo0uLbju/ATB4Qe2BZnrHQMvtRB/gsCgpKAyMhhNksUQISLX2kxERNgNa5du/ZDzYFPrqi3JcBsekklgTjg3WVR9EsTjP0RYNPX+S39IC+EWkf0BQGktZW+ryGVVZeOoE4Yhp3JaEJB1jbYUTisn+jKapkK5GChfAMU/3EMfG30rsTrFzrqWf6P/en4x9MNlvggKJo0Qw2Tvi4snPSbSmXJdUdcnF2Rlnp+dM53MG4wlO+Y0dKamtQyQe6NUOnE4RTU1TFjihcK5hsrePBEzj2DusWK/XJFpjTENV+YKESiqqusYhSJIUlAcGVZIgHEymU9JE+eILWrUbsQhAQFSgIg9U+15v2PT6Cy6Oyc3NXUoB6F/jTWibumzXb0ukXpFYIUlGE5/qagra7VDg14brjVu4jvJh7r2LbzovROQcxlNG2DgH6Qs8F4jtFSJJQlSsC3zGXZGdXe26d3CTIfYq17rq2NcB6HxBSx81JqVAaL+JWmcx1lemdbbBVT69XScDHzkWaFT+vJW0XRvSdUroTWP/dayjqwDyv2iXW6ek3O49XPs+XUwr844kJxTTvUMm8wOEELz9jV/BhErMMhhdG+IjXNbiObmV8J5zjCUbDLFak4zGCJ0CCh2B2Y1X28loJ7bn1xb8KnoR7ypp95V8MCLNPGh89+6DEK01IM1jIQ/VgbEbQyG7y8fPheDy0Ipb42ZRRjpClLWQ7eM6IdrkgFhZfiNkjZvX3+u2aMhvL6ubbyWCnvbq9/PXf3P2XejvmZ1TzlMKebmv0gxrDbb0e64xna7Rjx5xzrVRJrGq9SZA2enSjQjnup4j0Hq+YZVlWOOLDiqlME2NjXqvUMSwYbEjdfEmA6xvkNz2/b4KGPtVvPtd+9eXuc52v67qZ99ojue/zv1epX1VY3ab6+yik4itpSzh1df9n1cLpgYQ8cUbIsn6ay1eozsiyEo/BySWZ59/yuHBfriHaI+2OKyp+dmP/oSPf/Rj6qomH2bozBelzNKMNE3RytORIQVYXzS9rj0n/Xq9RmvF4cEheZqTDsbMD4462RyAYRH6buqGz372EbkWZGmCk9Ln6QpvXzdNQ1GUFFVDZRw6GzDRKZPFEusEs8mE4XTC3v4Bs/GMbDJmenQXneTBNrscgW23gODN8aTdx64b9+13EFZWaw/GJbdtt1x7jfb7GEW8e6sWUe/oAcO7nOzb17/u3rfr12VZEPeDfrGqbdvkdWXe16U/fN3ty3R551hFfdXRixz2mZ3OGqq6xBpD0zSkSYLNBz6IUUpWZcFkMqW2htPTU05envDw0WOasuR8vcZZR5bnrIvSBzlKyd7BAWdnZy1dTFlXNM7QNIaRGjCeTnDGtYIqz3OKVYFpLIlOUammKEsGwyF1XVM2Ja6GQQjG+PD73+ef/9N/ysO3HvPTn/2UP/3pj/jk009ZrVbkwwFpnnHv/j1+69/6a/z0o4/4P/zv/3c8OnvM33z8kA9//dcZDDyFrI0ApFAhE9/QX+/98ezrB7uA4P7xV+ka/T13+7pXOa63j+tfq9+/q/CCXetpu1/bn/ev2bczdoHau+zk7Qjr6HjoU0rs6teGs2wH2H2b9mq0Ei3gCtFtImWCUH5iKld7nVL6OEMfIRgtB7FZ3GFnHyMQFbh8nAej44b6jW9/D+lqiotTFsfPEa5BGAvOtkWx+oqX769pwUTwURmXX4zvl4t/dLtJ+x0yRnSEZ7LtrtUaas45KtOATtHCYtfnZMphA5WEFZ5OQw+G7B3d5eLkBdJaXFNgq4osFRAmgwciRQcEBUNvF8hxySPQe76dC0Z4ME+4hnxySHH2khSLqS3Vak25XnN6espwOGI+30MnKVJ4Y7ghIZvv8+Cd97Gm4fiLz1ktzhFoUpGgmxpr61ZYyhSUSUjzLIDFnrNGSA8cJI7gTJDoNMU4R5Jl5FlKpiVKK4Z7h4ymewipW+Onfc4bAKddAFb3mbuk8MVjdrV+Qbevyrj4s2pxKcYooHYBE55fCKTKwTQoYXHC0gRwRkqFiEUarP8XER2pE5z1EfvOOawDKXXnZJEqcHB2TiIvBjpl0c8FRTYcUhZlKJgoUSGCyiLbauuxv3AzUHAb4f1VtNsCwvFY53qujJ4S6v8vUSrx3+rU85hLLwcdu6f7Tcpov20a7rs305ue8abvIzgRjY7t+92mfV0gkBCCxhjPTf8GKru3bZef7fpnvW0WxVUK1C6jpQ9cWWtbyhklhc/56FSDnb2LeyrSp9crnSCt8cUvkhTnOjPwqud0uI57n+31IzbO6H/nAndmy4sewuCcc2idtPtQbysJF+r1pne9net2xzNf9328VdQ3hBC9D+N6C+qJcywuFgwGvpjI60b939SEoOWl7c+DG7bmjXYbOfSm7bexCWj3yvZvwp9C4TNiGpq6QQiPQNhY8FX2jAkImXKi/bnNUxevbK1DaO31NikwVdW9F+GDISJoHD8TdAadA2Qs+hR18oCOtHdpgZBuCsYHayGuvk7F5pxo7Yjtc6O+e9WeHgdP9GRPHOJtoOmWE/CrmFu33UuuM4Rv074qsGdXv74a4Gg3jQzdt+HL17rVn3m7TneJBSbj/IvHw/bjBV14C5CwznB6dsq73/hWF3kaQ6Sc4/j4BT/7yY8plktM05DNxqEAnSYd5EjtKcj8GvB6TV174KgxhuVyyWg0YjQakQ0SRpOJB5HjXhFu53BY1/Dsi09o1mtGg1GISJYhndlgraOua+q6wVoYj8ecnZ3xwz/8IavViqPDQ2azPcbTCflgQC0Mdw72GAw9MCxafT/KgThPus/82Pif1naAx7Z+EXWK/nhvjP0t5vG2Xtrep8UpNt/hVbbk1geX7nPdurrpmjedt/0MfR3utiDzq4K+14F5v2itP+fgKszp1VtP5QrX9WNYN4Z/+A/+AX/v7/09jl9UrFdrqqoiHwyROuPBowm/8p3vcnZ6zo9++lPeeecdptMJP/7TH9FYjx2tipIkTREIlusl+6MxtbFkWUZTNxRVxWK5YG9/n8W6YLVace/efRbLFUJIqqpiOp0hpeRiec6yXKETTV3XZFlGWZYkSRKo0+b843/0jzg+PuZHP/kxs/09dJqSDTKfxZ4k/OmPf8Rv//Zv46zh3/7tv87zZ0/5rb/8l3n89tvcf/CQWDfHGefpQwWESs5hbLwuc5t58yp2aP9nfx1FLKxf/G373OuuFfuxDWDHa/b5frejfY0xG1icUmojSK5pmhbU3dW/bWqLbdm03cdtoLn/d/+z2K+vNXLYCY+JisDlJ6UIkbsgVEqSjwkspaHAm+j9C9fwXd5QIDYEYvwlfGadbBVQrXwnhrN9hHBcvHyO0gLbeD7OjcEKG461+GI2W4L4MqDTR+LDZh4BG9n3ciicszhpsGENCPxmZp3FSoVCYJo1ifbM+MJKGgfZaMwgH1GsFly8fIq0xqfOWosTBpxqDYEI4LkWrO76vesFbxhnwoN6cBk4FiLeD2qVMUwV1ekZqZQUtaEpKy7OzjGNYW9/n9FogpLe0LAo0jxn//CAxclLyqIAAcPRhOGdIXVdslouaKqKsliDNW0kk20qnLGosMAchIgngdQe9FU6Yb1ak2Y5o/mcg8M7JGlOMhzjlMZ7HvopCNJ/9topan6MY2Xv6xVWQZqklxwLb0or1muaxqDaymTi0rgp5VOq62LlP3AOlQ08WBsUPCc9OBwjDJ0FpSN/mW0NOxH4tz1QuIG6tPd30PEgAsW6AOEpZ4TrNnedpLdW/F5V2bnp+F3G2C7nQP/vm5TIneB2H0iKY+3o8ZkDrnNmXNX/q+513TNfJ1OuajeO8w4D/1WV0K96jbUKxBui3N6mfVWKupT9KL/d4/4672PbcOkDqnGKXHdZpVQAeH2RyiT1hW1CEYBb3L+71y16e+m86ECM37fFVG/cL25ql6PnrjIMN95xlK/+EpeuGZEzAeR53mV1iO6eu2TpVXLiqu8uP8ttj9289i6ZGYGDzfF5s/bbtrkQJLExPvHhArgT3qnX/URbMG5jvwFUkoEgcAtvVgCPeq91xgO7QmLrKlBA9eWpLxrrygIR6oYI5fVO6QRER6wgRDX3jBK3GRXZGsexH3TzUsAGY4qIn4WxiI6Njp+7oyFodYMtEES6TmbY3nQQYZxxXVZgB7a92h5/27Zrf+rf5/p1cPX+/Sqtf//+OvpzBW827JeutePVk6tvStsJcgtf9hrnusyUrcMcmyr2pu5oWa9X3L13j8OjI/pD45zDGcOzz78gzzMG4yFKCNIspTGGXHobz2faEQqYO5rGsF4XlGXFMhSeGo/HKO1BCmPNxqIVgLOOqi55+vnHrE5fMhp57v42yltKXxSzrlmvS4zxaeOff/oZn3z6CaZp+PW/9JtUZcl8OmMwGlJbS+1AZTl5PmoDG/pj1/2++TM6eDwY47nWhRNtVOx2Eaar9NbX5fV1vX7EgYoZjtt9799rex97FaB6Zz92rO2rvo/tqnu+jkz4quXlL1PzqAHtenfWIQUMsoxnT57ww9/7PebTMRgDzvHON76BqS3ZaIhKE+YH+/z23/x3GI9GGFMznkz5vR/8/1icX3Dv0SN+/OOfYE2DTBI+f/oUqRSLdeHpJYYj/sZf/avgHJ98/Akvnz/nybOnDCdjnPHR46tiiWkMxjbs7c05v7gAoCgKlFJkWdZyzzZNw927dzm8e4cvnj7h3ffeo6hKP+uV5N/7O3+Hh48eU1YNg+GYf/8/+O9x/8F9DJ4D1yJwxmAsPtpZxJ1ceIdzGKYY8brtIOvb0tvg7G1af90559r7xHtcNY+vuv52dni8ZrzWrojdPogcZcF2f6SUGxH9u+RIf3xe5dnj79uOonj/CAxv03fc1F65IF1UVGMTsdqpECBTWiQXESR+p6wF3TQsrtDJ/p4qNn9uKloO6UzgqpIMp3PqsqK8OMPzDnvvJkIgRW/CAE1tkEoFAzgMnqClPW0V1XaAIRbT6/c1ntv/3QUF11hYVZbJ3ozTF09JHTQCEAqDYjiZIIFyeU4mQdoqjIXnbRUi8th4DuWoTPtCIEERacdCtEp2tDOE6NIKW4C5/+6kN0JEUKJr68j2Dlmcn5Aq5dORqoqmNizOzsHBYDD0FXGzFKU1jXGUywVffPQTZDCUhZBY61icvggRoo40y5mP9mmqmrqsgzLvwFnqqkRUlU+HkhIrFCjNIB+gpOLwXsZoPicfTZAyRchYZIjws1+AJ1b9je/sZgX5qk01OgJ2nhPu3Tc4LrkPf8FblmWe89d4UvPtfgvhI4pEGGMXjMNsNGa9XEKsPNoqbeFYuamUiBYYvlq09AEiFfjPorEXjWIpJD7KWaJVQuzwLuH6OoL1tu06YPc2QOxtrn3dZrGr9QGBr6vt8kZeBSjveu6v4l1ctZF+2dbfwN/0dpMj4jbNn+LT/P01v3y/bgJ9Y7vymCCOw6r32SVCBmBYbciQG3rClwMiNs9vwdVrgN2vrQXsV9BTs/pf9zYoIQRpmrSff73d8/vv6xrku9p1wHDU0f48MbDbtj6wAOEVxuiTYEwgQ72KoOcqGYqvBj0uFiKRSvkMH2sD0NoVrou/W1woGLwpu6EzZmQPqBNhUolAKaWkDpH23vG+wWG88VzXPLPY1KUuAcrhxdn+xOwprC0ssw1ybP3c/mIbqHmddhPoe9v9qL9HR/l6m3P6fXg9Wf5q99n+7KZzttsmd+LV+Qnt+duGyS942/ncrS0Q9wZxaU6K/i+u9zNc01jDz3/2M3TPEBXWO3eefPYZF6ennL98yXKxpLaGbDBACEmSJqhEe9sr1MyJHhljLXVdUdUVZ+dnZFmOThJ0kpBkCcPxKC7A0BGoq5JPfvpjTLlilGfoVGND4bwYKdc0BtNYXyfHQrkuuQiA0917d5lMp8z396mbhulszuGdI5yUoTZGdE55mb65F3UO0v4aiZ8VRdmmUkf6m8Fg0I5rF0RxvQ503d9Xznux3derW7zGbXi9t9f26+jxu+RT//rbn7+qw/amv99Uvfm2Oum1zdE6fKIjQUuJaSosjn/vb/8d/m//+X/O93/z17l/54DFekVTN0ymM2SaYgM373AyRipNOhyQDQf8u3/7b/NHf/TH5GlGZeGHf/iHvPveewyGI549fcbDwOX9G7/xG6SDDGsatNJ88tFH/G//4/+Y2cgym0xxzjCdTkiShMVywdniwmcBSE/5MJlOAF/MMs8z8lA7Y71akycpd/YPuP/gAaP5DCEEL0+OQQguzs549uQpj99+GysEWiU4FAJorEPpZAObicJO9GTj9v62+W6uXpM3zd9d87wPlG5f67p53AeUI7jqXEfl1QeNI9garxmB5TbbsNe/fkHNvvNql0P5qvW1az329bv+Pfr31drz0/eB89u01+Acbu/sIxz634s4KJ1UjWDltn606Y2j88S0z++v0Q4cBLoK6VPbRcp47w6mLFmdn/jUyV5/2pdmu5+2J+xt6FMEoy63CIiETS1GC9EHFWIqvQOVsH90xMXFAq2H+PJSjnw4ZJRI1ssLBmmCUgG8juMnwFrTTqj2fnEoxOaksDZoGt2XuBix2TsuVrptx9g4rIUaC1Kjp3NPIVz5CBLTGExVUhZr6rJk7/CQJM9AC4QWPlDLWA8Kh3s5B8ZU7fu11hf9K1ZLSrzy4hw0xoR0Rs+XZYUvbDCcDJFJymT/kMFkjtQpaI0UviiACyBAnC9x5vTeUDthbiP0/VhfH2m5MQM2NZfdN3lD9sn4nNHQDGEBRJoHJ/C80shAbWKQWlFcnLeRlkIIlPbF54Tw5PNaexHinMMah1C+mFx734jyWK9ZOqJwVG1/kB788Q4Rv4kJIWiALPXFLb8ugONVDbC+h+6rbK9jnH3ZaICrwN7tFtNhdqXyveo9Y7sNwP1lldDtd/V1A+pvanPt5nv7dvMc6KzhzWPFK61jF/8rBGk+fM3rfDmA+M8E+L1l60cCbPSq1WNcT1a22pDPGulXqP8KW3S6w+uP1VVKe98J0FeGpfx6nuWrbn2QFrZmohDB+V3jQiqmCKh3LFgslWqBYM/kHVBx51M4pdJBF/M0ZFKqDb05gsGhHnTQhS1JPghAtVc2pfLUTkgVKKFCsasd9RUuhx5sPq+L0Xax3xEsvhJBo1Npd7S+M8a1gHZfDwz6C31jq0eB9wqttVXw47WjXmR73KV+whVJbDcbt9sG4m2P3/77KlB5pzOby4b1Bl4f94WeDeaDVTrDv83CuUY/2xwrP9/e1H1YCNHOtZ5lCmzO3/77aEdLdGMtpOTdd97l9Pil16cRWBqOXzzj5ZPPMFWFrStW5xcsl0syKRnmM7ROkEr5KLRokTuwxheCdtYH4Cgpmc1nZIMMlWpUkjCajjyobMO8doYnn/4cYSpGwwE6Ub6P1np5bgV11VCVDU3pqW/Ozs4oigItJY8fPWZ+sA/AdG8fg2M+30duZPrh5dmt3vem/B8MBj4ScrUiyzKyLPVcqIMcLfS1y2pXMMP2ewQC6Oz3kv7abwXWLWWIEOLWztGr9NGbQKLbPtNt77/9+7Yc2T7GWsN2sfc3q13WGa+al1F/6oNvflfsXcCFqeGcxzXqmixNWV5c8P/93d8l15Lf+K3f4o9+7/d48PY7HD18TJLlLNdrBrnn/PWBgQor4Tu/9iHWGB69+y6/8f3vMx5P/ApXCi38T4SfszrJEEIwms7Y2z9gPBzRVBWj8YiiXFPVJcPxiEW5QmlPCZnnOdY5kkRjrGGxXLIuCp9hJiTTyZgf/t7v89FPf8p73/gGB0dHqETzk5/+lNOXJ7z/wfsMR8MAmnoqmiTLSJXEWE+72Y10xLhoM4i37eYNp/kN8uE6oLd/3QiQbgOn14HF260P5u5a09t75q6fV+EErwKKX9W2nf79z4UQl3iKX9fufSVwOKZ79xfLrk73W/e3a30IIiif4eM2Qmi7+xsvQQicCxEVErAOqVPmR/dpnKNYXqCEL16zSRHRm7C9lwZevw7osO9fX4mPk63tv8AZD2R13nLhvaNCkwzHjA8PGd85AtNg64pyvaIp1tSrC4aJQohYhVBhhQdZpYQkSS6Nm7+v35ni/+Lm1TeiPPm3V0Ck8DQfAQVtUw+FEAhXUaNIp0eMJlPK9Yr12UsypXHWYk2DaSoWF2cMBzmT6YQ0T4Nx4sdCaYmzYJum41/BGyp+MhrAIsLENM5hjSW8FExdgdJIfNE557zn+vTFU/J8gEpGCDSCSGbuQqHtzdTk7h1F6CCMk9gdNdIBUZfnwG2acJ2xw7bB8IbouC5YSjpsFLtA98gDbYRCpWNsUyNtuanouq6qut904nTznKIiVKPGOawxKO2NV2tr77AgRm16w9c5F4pXxWUYgAYpSJMsnN83WG7eRPrP/EpecyF2GkybY7j597Yy9Sr3+7MAK191rsfW75tPMXy157vN9WP/bjrmddouxWMbKH5zldyAD10h63Yf/wrrgK93fC4rNXA7FGeXltBetQURX7fft1Ecbzr/pmfpO8RftQloubIjTNf/dsPZ7uL+GPbuwPf8VbcW+/sa58rmpQPwh3eK/8K3HeuxjW4VAoQCqZHOtlRg4As1SZWEKF/r9dgwDkJETVp6Pn4RCpziCKk8QOdIEGFCtDu+DEVhA0jlgzoClUf8TCpUqq+YMltZVGzvu5c/3z4+Hhc/2vX91i0D+EtPGQg/wnzfKIbmgB1Yza32XUcA0i+/vpvm+bZq+Dr6ZrzPded9VfpDdDG5Pm94D/bsZmQ3JrRyls35ccV+tGEovyH68qUW1qsHe0Vnvt5C79twlhAAE/AcvtavQ4kPMqqaimyQU9gaKSxKWFIlSJPkEgixmcJsqaoK21ia0jKcTpkdHJANR+TDEdZBPhh368w5FmcnfPqzn/L2W2+htadLNMYXnjONf/NlUWIaQ1mWnJ2dsV6vydKMvfke6SBnMBigs9zTEB4dBa7yqwHMHUPaFt/snxPPU0qxv7/ffpcklvVqxWQy3Rj/m9puhwo9J+Pt9Kbr1qS3gy6Dqv2/++vhamfo7QpfXfWMV8mFq7CZ2zqk6rohTdNXlmW/LM1rU90uE0fBB1xJlNb8i3/2XzEZjUiV5PzkBf/oH/wDZnfu8ODJM+48/Ixf/83fYjSZYJ3AWH8tLWXAFSRCefrK/TTbCKCK8kNKgZIKYxpMVTOaTvmf/0f/Ef/H/+Q/IUlTdJognKKpa05Pj5lMJtSNL2pelgXD4ZCmaRgOByilaeoGayzj0YCyKNBKsVws+N3f/ec8fPyYB48foxLNW++8zXQ+9/UQpAqOAkFdNwghkUq3+EuQTu0+chVQ2o7rFeugf278rH/s9ny+Knipv+Z2nXtbgHbXPfvX6NM37Or7VaBu/9ledU1u3yf+HgHifhSz1vpSVPN17ZXAYXod3/WQEYDqWqf6bShN1gPFkbShvS7X6w59SFoKhxMSsiEHj96hujjh9PkTqvUKKRVaa+qmxpgaiSBNPV+bV/isj6agnzYX+DniILcWVoBnQ+eMCeCYEIBCSIVxktlkBo1lcf6ScnlGXawR1pAqQZZkEIFbgsK19TKd656wG+MAeIbjnJA4azF1TV3XVE2DdT4lMU1TVKJD8R5Jkmiq9QprjY/ssSnZZJ8sy3j52Y9JpSKVEiMkwlmausY0NeV6hdYpSZagZEgUMAZnrI+Gtg5nO0JtE7yJCIcxDc4ZZABhrQ0eGBcMDgL3jFAhXN+SZCkaQV0VpCMXAHQ/Pn1l8iZFuIU4r1lUr6JMR8Ue6FWC3/y+f99f9OaL3EBV1W2aQb85J1AqxQiNNQ4saJ1gmopuZQoSrajrOnDoeEWwTaeSogXOrTOtneqcRMqks9UkgI9MksHQlUL6go9SeQ5qpVE69ZbfdSE8XH6vuxS42xho4pbH9a93240v9nNX3687p3/crk3gq2pX3RMup8m8zrX/rBXK6zbiv2i727YSdVX7Mq9yt9EC7e6+E5Bpj+yftQuL+Er68+WuB9v7+NXHvWIL+2IfH9v4Wuz+/aa+/Hm2fp+2nfPdu/EwVaerCbxn/w0Ah69pAh/p66ITX7oNpT5G7dod4EnTGF8oVvooY6SnYrK9MVFKcXFxwXQy8foUXvf15zhQEqmSoGduZgFKESNOvuZB6D3Trs9eZX3KXtHaVxFS2/fZJYNevf3ZrbXXXdetdeYcdVOzXCyZz+ft927jqNu1fmp937m888ZveLtuv7w0b6Mp04o0n4k63T8IoLMPGtrbP2R1dsH5co1MUg7vPeD8+IQ0TdFah2KomwCgp35ofBE3rXn7W9/i/luPGI0nKKWRSlE3hjTLQoSypS4K/tXv/jMSPL9xbRsP0roYLVzSmIYk8XVgTk9OsdYymUyYTKek+YCyqSFJODg6Yn54hNRJ97Bb7br1HcGMPti9GxB1gWaiA192tZtswO7cLpJ0+1LX96M7ZvOcK297ZXPu6nT0fovjs/u+19/4lYNktn6P8y3Lslvd7xetXdfdK0clLNZI7xk/sgKE8vM2OlB0omjKkuVqyYsXL7h37x7r5QXKzUhXKYvTM/a+N+XxvQc+GK826J6zB0DoCBD7O0kdsnsDliICLWjstJAKnYBwmrffeZf//v/gP+T/9Y//H7imZrVcslyuSNOUYr30jl6lmEzGSK0pzs6pa0Vdljy8/4DFxQXFakE+GPDzT37O05cv+NVf+5D5/h5IwXQ+ZzgeIbR3IltjcUJ5m70XmSo20mZcq69Gu/oq2pWbbORdjtBdwUW7wNLrAOGrrhGB3v532wXkdp17FVVE/967+ttvNwHVl5ytW99tf9bneu7Lmtu0VwOHtwCK2KHua+9XaUyD7tMkxO8vXQ8PuAbBJ8I1jPWK71UgT3uqAIREyIR8dsDRYMDZ8+dcnJ4grCNJUlKtMXXD6fmC4WxKmmgfeBwiXGWvGNm2EuOIQDZtlIoTKjyT9EBa7RhMcs5ePOXs+JjxMEFhyPBCRAifjtF6Vggeyxj9Ely5/jm9YRCLB/gn9yk+tYPGCtI0x8mMJPfcc01dg/McVsWqIElTslxhrWM0PyDJM29kODCN4fzFF2RCBgDWX984Q2MamrrGOcFgNPRPbJtQ/EThnMD2qqSbpsZYQ1X5+8cxctaANZ5iIFTc1lohpQqbvyDS0VorMEb6lEah2MwUdbgtQDDODy+3vaddiJudCldt8NsLdtf7l9sXFhs/fiEN7l3NWAdOkoRN6ZKHSghUmiCURBqDKRdYISBEJsWf1vnII6m0d5L0BI5wIGyMZgo0L1KBtT5SSUoC34rvg+02W09BEr2Ngi4CSlz/condvx1oetX3X9d7fFUD96toV93v2s31a5zHN72Pr5KrdNd93zRl9qtql73Q14/DVU6O3eMXZefla3zVrX8PFxy21zmLdrVfJDnd78pVU3P3e9j8/VUe6et6/K96XLfB4t434bPu2X+BXumVzQlfL2JnV4VA6AThGpxpwPaeTwZDLDjfvREWDDEbKoArjRDKA01BL3LRGJACqTTj8bgbKOcLuUlCsdjAUSykCBRngfdYKE/x5UIWEPht+DXBj6vmyLYdcZWuf5u2cS06SXeba2wf44M3dkvL6/WLzjl+OVDm6nab8fk6WjtGAnSSMNubtyE7O4/tqWO76DPi/nH1Gr79XvSL0vr68W3sjO09t7Ux2oN8Vqgv4mRI8jwUePc2ZZoOePzue8wPDxjmOT/8/d/DnJzQ1A1iIFq+8nhtR7BbjKVuDPfeeptH776HkIoYWASCNFATO2dxtuYP/tW/5PT5M771jW9Q1xWN8dHBddVQFiVNXQfQ1nBxscDUDfO9PcbjEelkzNGjR2SDAXk+QOu0Rz9z/Zy9NH6tXPGOKB8o0hqn7UHxObROmE5n3ff+oW6UJRt9uKVc2eW43AX8XGdP9OfEVWCQChmU17XNgr7///be7PeSI8vv+0REZt71t9bKqiKLSzebvcxoNBrNSIJGy0CCLMgb5B0GLMGAbRh+9oMf/C/Yhg0/GPCjYEGyDW+CYGlsaaytRz2aRTPqdaZJdrNZJIus7bfdJTMj/BARmZFxM+/yqyJZ1cwvwfrdezMztozlnO85ceLZOD00+6v/vio3vsjysxCb1q11/TVirly3LF1oSpUqG6601Mznc37rW99iPBrxyiuv8M9/+zd58ugRBhuW7zf+6bf45T/758gGQ9zx7kHeTWGusXKIqC/h+wyUxjr2geDmnTu8+6MfcfvmTYqiYDKZkCSKl27dZDgZ8/69exhjyEZDynxJliZkWcb77/2Yx48e8fEnnyCzhGQw5LXXX+fLb77JK3dfZbw3ZbK3x2g0Js9zMII0zVZlclq85lsI2F3kgTZHgS6CN74W/7ZuTQp/a+VGoutdz61Lf5drXYap+KwcT2JrrSnLsjIgKaWqHeJ+h/8mJ7Y27HYgXfCCwswazL4wpIkN/2CaG70aaSCs97Bx5FAo0HkPgDD98HuYjhTSTmhCIrMpx7dGjA8OOX/8EL2YIzAkScrxeIRJEusduVyAc9Q3wgrMAlcAn4cBZCAEGe0OVQODoEAwOjhCCcHpJx9ilnP2lELpwu4UFHUAaymFTci4g0ikqmas+hCgyLrg8tVas8w16f4x0+GEH//BD5hfnDE7P2N2foowmixJ7BZ+KdnbnzIej0jThMVwRJplTvBPkCInRSPEwL4ZP6jdqZq6KN13jS5KSlf+wrj4wsbYbUd5zmKxYLlcUhTWyiyFFyrtwXb5smAwGCKVJBsMbDsoiUpSBsMRg9EISJqDS9Qe2nghVYiGf1AlfNvWJXBqvTRarUiuIMaVxJfFmA5F7zlHdfqww4oihj/t3HqoK6Xq7XBBv/STkG+mxumduqQ0GplkAeFnPe2VUs5yKGuhVjReZh3XVggX37sdbQvCJnK4a3LveqZtgdhUljitdULVZRS/bRegruufJSm+LZ6V4GmMPZAlafG++Lzr+LSo19ta0G02Wy3EtlnNfRqXybf9+9MrXqtC3sod7fd7EgzTfM6sPLKhLG3XLt9PmvXxv1G9t/jaSs6VALKe+O3qy235uystCtJnq+y1GaU2jcmu+lgPuxdHWa3i84p6LQ0JJyvf1OuhkKry2gWQMqm2lBpjFTApFUmqnFwnEMrKq94zx+7S8s/LWoYSxoZpCmIAepnL7o5T9ppMkCKpa+Dbf80r20TIPA265rQViCYp7NvbGNPqlbeuzE4VqL9sgzB/6ua6TLvE+lVc1m3lmNZievnEl9lE6XXUt6tubePbl+fTNP5+ftiscKz0WU+Aes1FSBdHd0ClbgqsR16WYqTgnR/+kMn+lOGTEcXFotKoaxnc7WLFElZpNuLGrZcxKrFyuQFpnB7j8jCl5off/Q7v//B7KARCSRbLBRezuSWEDegy58mjx8zmcxBweHDA5PAImSTMFkum10ak4zGD4ZgkdbL+jsbaqje5ia1a/4xxBqmatIRazQO7td4j/L2t/eP+WT0XkUFd46ztuVjX2GZsxmUKf+t6pk2PaCPBty17V/o2Lf+9fRv/unq90Fi7pjWv+zVBl7rSe+041IynU/70r/wKP/nRu5y4uNyT6ZTzixlCwdn5uTXsSOl2y4YZ+05uoDIUBXmbqJ8LwAi3I1wgDDx59JBlniOkIBsOUVJSFjkXFxfc/+QTsuGA8XjMzdu3ePftt7k4v+De++/zo7ff5fvf/S6v3L3L0bUr3L37Kn/hX/qLvHTnNuO9PZI0pdC106IwTcLF97tN/WTXPh/fG//m+2borbvOqNE2Pv0cGqcZfvf4LNewmAgPyxuP9XDXgSeDl8tl1TaeLPbp7FKPS4eVCFF/9x6k7dJFrSzZu3Q1uclqsGxLvtmBaklWZ1OzYReEYLh3heF4j4uzx5yfPKaYz62FpSgo85J8uSBNEkSS4uOnGl9+JzAb3JYC72XrRHRtNIUWDPb2mexN+fje+5T5EoXBCMsoCy0wMuy49WEj1bZ797uolP54m6ymKDQLnTC9coNsNOYP/sXv8uHvf5dhpsgGQ64dHTIYjpBCUC6WnDx5zMOPPybfn3J8fIRYSlCSJE0wFCQkaANa1sSc8JqjMSSJIstSlsslZ09O7AGAUlDkJRhBkefMLmaUuqwWde+2rpSy8XCUJBHStq0u0Rhm5+csl0tUolBpyv7BASpRJIPUEtNp5uLPeiWFiqSvJ2jR7FWRgCtYXcyafbMd3ddrgh7T1aOJte7nG+vISv9BKhsXWkpMqREYCmc8MNg4wdJNNqHnghB2q6pEIH3c4UA5q7OPlAVH9gicouqUWTuhNSf0ddbHylh0iUn8aYnaNsTCWiyErlsEtyOAtldOdh0TXel8GtjGmrmpDGbd+LxEes8L/Ht7cvJka9LVr1Xrr18S657dgUDZ+v6O/DxR5pbqIL2Y4PCEcksCcQF8QiYkZ3cbJ22fL4Na6fPf/W+2TOFnj3DL3jbEUbcM9+xxGQVzlRz2goBfBzSnZycr9z6XEFiBr6XqXv5KkgRT5NVv1W4cqTAuMqxxn7wcKcF6HAtZ78xymeRlgaImgdVgwOJiXh1wJ9z67A+RFtKHWFMkKl0p56Wr3kE0PMu0112r4js/o7JtMgZva/zoSi/8fZv0tiGlNpU7zK+JditVkx5oph+Wu/MwHyG2Xy+ec3TJWB6Vgo+NwumjhwphYw5nA7PSmEIILk6eIJY5i3nuvIILlkXOKLOHtBVFYWNIkiAELsSMjUuuTWl3xRobOrFa74zh9NEDvvc7v8385BSZpSyKnGVZki9yimXOYj7n7PSM8/MZe/v7jPf2GE0mjKdTbty6xfe+/z2u3brFZDy1hivnnAVNn/Oa2GhXOwTWg9rqj5Gs6nfrur7ijWPeC065cHSIUL/Y7aC0mAzaBbvI090G9u412N8ThpLoSm9Tfut+jwm1tu/bpv9FgTG1jmkNtQKEwmjrnHfn7it853d/lzuvvMKPfvgHzJZLzuc5f/nf+XfJBkN8QFUIp1ZDGYiqbb3JTxE+vr4XKcAaU07Oz/j6z/wMs/MzjJRkoxHLOczzpeV/3FjTecFysWQ0GvHS17/O0cEhT5485uDwkF/8xT/Gz/2RP8LVq1cZT6ZIpVxoUIOUBkGt92u9ujbFOnqMLt13F/h1JSakNyE2zPjPoazVZrwJy70p/a77tx1LbQR627W233ybhPXahnxfh93IYYdOkkYI2g4Jie8zBtvLRb2VxISLiwjvM/X3IE1PDfrBYj1XlbPNGoxMGR9cY7R3yPz8lIuTE/LFAvSCRMJsNiNRVhiXKkEp6QjTVQK81H4jgD04QA5G7B9f5YN33oblBYk0+MPmvBjgD1EzxnktmHq7jEkSu81flyioPJJ9Wxlj0IVmPi+5cvcNJgdH5Ms5jz76kOFowPGVYyaTKUIldZy54YBsmPLkUcL8/JzlOGecDCjzgiRJbTxYGR5k0xRopZQMx2NGkwknj54wP79AY085z/OcRCkSRwwOBoM6ML2ALMsawbi9lyjAIl9Q5gVlkbFYLFnO55xjyAYZiYtrrBmTDgcgEzQSSVlJFLVotRuv8NQw9R8retTwCt2LtEyWumBRLMiSzMn84SRhDSxGKpLRmHwBejm3vd0FyYdouyBUq5vAoPOcsiysBUuXpOMpRb6kWM5trCR3irp2x7CrJHGxFr0Cq6yiKhRCKQSrQtE2ClJdo8vDsHlB6CpPvPjs+py/x/8Wft5lYt9GaVxnwf0ssO0Cv42BR2AJjheF+N0Gp6enALz62t3PuSQ9ejy/OD095eDg4PMuRjeCKa65htbrpxT2GF7w87JfMxVQ2oOPS7cXT1CFarI2VVH/7g0JprmeKNyhVj5vqRxfbWwIC2HXepUk9lBZqGTzWoc19ZkcXpkV20V+3jTPC6h26ZmIlFy3frURs115r03HZlzxlptWJUmtmrTdu23Z2lCVBdqZtV1hbGg7FcRkjmXphnEr1L/akwvIu1p/Ayyxt0a5FsJ5yr8gwnOjXaJr6wz84T22f1mdwb9bnAdw5dEeDDQpJZPJHsuTC65cvcVgvMeP3/khizxnxKhKsygK0iy1XshZwo9+9A4/evcd3vjKm9x65S57+4egbMgYg+HBxx/xe9/6dR58cA9KgxgMMCikAYklhsuiYDIZc3jlCpODA+68/gb7h0dIqUgHGVfv3LH6YrW7wTlSrWlDEfQnT/5qY6wnJYCwOkFl/hPS6lfGOmh5eVwYg92EW+9AtM+vJ4a3IWvWkapt94dk6i4GmnUOLvF9bQaXTSTUurzX1XPTtTCdnxb5enc05y0hBEoK8qU9bF0bA1pz86WbfPjBTzg4PiYbjfmlr3yVositvqs1KBUuqtZhryL2YIUeDvgvQ2BnFoALGfrW177O17/xM3zy8cf8rf/9f+Pjj+5zsDdBGE2aJqRZxnw+57vf/S5pmqKU4tvf/jYf3PuAu6+/xltvfZVXX3udbDio+7bWGKlQLiRqWZSOK1L43VubdOAu/XUXI0bXPduQn/G9bQbXuFxhGIa2snfVY5dyeVS7vYIxHo/VNlkiNBp54t/n4/m3tvLsQqjvRA5brz4qATRE9V1404a3+Pn7/OIYLCq+8F7S8m47lS+wf1I0pVRPKhi7xaQ5Sbpth27riVBDRtOU4fiQslwwOz9heXaOERdoXaCkjeNktMYoZfMWtp7CeTcb6YVljS5hurfPvXd/SH72hNEwqwZ0NahESwekDmpdlHNkmmGMQSpJaQy4w+r8fYtFjhpMGbtTWecXFxgE12/eJhuPrJeu26qotQAlUEnCcDjg/OQJRbHEmJKyhLLMkDKhjfgGR44nKWVZsndwQKISzk/PKNHMZ3Ome1MGgwFJliKVYjiy4SpsB7WeoModclYWdbxoK8Dk6KKkyJecPDkhXyx5cvKE5WLB2IBAkmYDVDoEIaznqVBVv6kJ91DQasezIJpa7xHY2CM4IdhKK89GcP+MIISw8YapgmQ0rvn2NrrAlCUGQSIFCInCVbWLMDXempr6Yc78/AThPJqEthNXopQ9QBGnUBprea3iKTrPp1Sl2DmgObbbBKpOActe7HxupQr+HlG3zrMWgraxQLY947GtIPgssY3A+TR4Vp4I2xLd6yzbzxtu3brFe++9x97e3hdYIO/Rox3GGE5PT7l169bnXZROxPN32/oloDo7wiplpd21JYRdT8sSjQ0xgTFoXYLWVmlTCaGZWri1WArZcNRYzudWqXDeQMYYq1j6MriDYKVK69Qi5rMmtmpy0FhBuRNbE6MBH7xuZr6s8a9NEVzJ32e+ZfK2eTYThOvQum75siDWtkVXem11lJHUZ4J6rijU/sOW7ezJZK+7bIqh2h7V+MVBTKy33hP1t0rxx5KbxXLJgwefcHTleiNRIQAjObp+g/2jq6g04cqtl7ly7Sr/7Jv/qD5g3Msx2qDRnJyc8viT+zx6+JDv/vPf4vZrX+aX//yf56VXXgEhefzJx/yzf/KP+ckPf5/F+ZzxeMLB0RXOz2YsFwt0WXJweMx4NEYmimQyYXp4yNWbN+1WeB/CD6/2CK/mr7xPE30Or2rtduQi6t2iUmJMPVdZfcQbYJoyr5+SvC7t0zC+MNFb2ZYE3hYhSdsmS247P1X3eLqkuuDaU7SXPSaO2sikXdFG5v20IKxOl47QWeMVFd+St8Z7mgJlCUol5MsFgzRlqUuOrl3jtde/xPn5OX/0F38Jg+DRyYmNMZ6mjgh2Zyo5Q1F12ByiPkspIlejornBZwspkwQpBAeHB/z7f/Wv8v/+3V/le//i9zg+2EMIG/d4sVgwmUxYLBZIKcmyDIPh5bt3+fJXvoIW1tAulEJkKXv7ByTuMEujNUlSH0Bvh1t3/Ouufhk/s25dbptDL2sc8feFB+jFh7PFc/U6A2/MS8TpxIaj+N629gnjiof1DcsbksNCiIpcDr2pjanDaIXPdL2rLuwWc9hztELYuCltrDzS9/d6oiOUM+vlomrsgBzFEJzKWIftNlBZEe097pZg9alehlGV8OoXGqEkiZJMsxEcGMrFBYv5jPPTJ+Tzc6QxaCHItWYympIv5ijvwVpa4lqXGiNTHj98yPzJA1KhEUZZj9wWa0Tb6YUIrHN+nleLvA0tIR35rFkulsznS669dA1UYuNAIbj12pdIk5Tbr73Kh++9y/L8CcKUVTsLaReVQZZiSVvf5s2Fd2WBkZJsOESXmnSgUVIyHo8xjjhPkrRSQKqwAsKHkpBVHB2tNWqQ4A+SM1qjshRTavJFSrZYUuQ5ifQnXVqL1GSyh1RD1zPsv34rUS0o237SJI2DvhmQe3gCN7gW1j/st5ssxv6z8Yu1sd4zIhiILwK8MQVYUX68ouCFL4kAlWLQlcAvXZiHxqRXP4hBINMM3P2UpfNAMk5hcNm7gzJsOcIQItIJjAmeGPb5bSKIV+oZYFtFMjTibHNfV75t19us/usWnl3zXndf3Ne7yPU2i+rTYFuyNsYuAmrbQrtt+i8C2Sql5M6dO593MXr0eG7xXHsMe8QEQHBByvrQNz/rGUAJ75Bg3PooqhuEEKg0cyEnhCWTibdE1t8tiWthFSIXr09I5wGokDJBpQObXkDUNhAxPXmeI5VEJpfagBg3RdeX7R5fo8xtIuifFiEl1aUQ75TeKse14/Ox0kxwYJj/0ZZRG7PihbSVLNJaUBcOTFQZXL4SzwlENDaByojQtXewy6Bvv1uZ9/T0Mcv5vKmvCE8OgCRBpArvuHFwfJ29w6sUZYHWS8qyREpJnucoKXnnD37Ig48+5Hy+4Cvf+AY/8/O/YHeLGoPE8JN33qacnUNRIGXCcDRhb/8AMci4cf2G1cuSlP39fdLBgKPr10jStD6Qknr+kdu8Wq8fuKoZYyjywum/VmcoSxdSsdRVW8YyctimDT0gvEcmIETlze/7cFmWnXNAJ+kWEaUxyROjTZfcbY4Rlvtw7xkT7r7uTmMdmdb1PS5fl67URmq9yAhppvYbOp8kHPleh665HPtXa02SJmijyQYD8sWcw8NDvvKVr/DJJw/4xh/+OcYnpySJoiwLq0s7ckM7xykplfX+VMolKyiKwnnpUpXDBPmH5wEJrPdxmg1ACP7cX/gLDAcZ5eKC9997j/29PdIkYblcMp1MGI3H3H31VV7/0pe4ffu2DR0JDEcjDo4OmU6nJGlGWZauP9QHTrYRpc32jvilNQSp/9vW37pI522wTv+s47W3648y2oEa1zckc+PD3uLyx9+9h68/MC5ee+Pn2g6haxu7cX1Dj+Tw+y7YjRy2udfEbEsHqf/iChV2aqg36G+O+SP8Q8bETgx40pcg37bJTlS3CIyx22GMhGQ4JRlOGe0fspid8eTBR+ii4Pj6SwwnEx59/AHFfIY2ElOWCLNE5wW5KDBGIzEIYYVz6VhzLcLDt+zn+mVGbSR8J6jrYgwUZUmR55SlPYHQ+3QeHB5zsH/IbD4nHQ25fvdLvPf734XFBUoYEmEohaTUmtJYj2SDqDyrpRCtHUsIYbcTpinZeISRhiXeImsQUqK8x3hFEAuETOrOJwSlLp2yIZzSYig9kSslaZqSDTLmF5LBcMhgkJEIgUyHjA6u2nRjj9a2PrGug9d60VMhXkS9haZutxdnW5xH5R3fRqRV71Yh5RBh5o4QdlR9NVmCPe1Y10YilQICkSjA9nclFVoqlFKURYFQ9qAbI+r4Z+lgiFAJRb6w41NKhEpRqfca9mUKitmy6KwjPC/VTmsEu3XpriOFV4S0LcqxK3F8GTTS/RTy8H1k3WDpEmA/LWwSPnr06NHjmcIRw7G8bOXXxIbTMjnC1AcVa+xuGolAG2G3gUvvQazs+RregB4Ix/XaKDHCuMOWvexniWAj/JJv3NqcotJBYIiPWGBfDVH/bAwkg2z1nh3m1KbThLBl3UCMdpEimxTWrmeqsngCf8tl0LhnGs4LW+TTdU/417/Tyy5Pbflp/85dZ/FB/OQl130XFdB6ToeKdKs/dfAcuLASL8ba2+gjUHGkVoV7Ck9LA1evXg3aKWwx14bBu0myjDff+hrf/Pu/ytWjQ5JBxmw2J00zBIaP739EkibcvvESv/infoXrt265ziwQpWExn3HzpZvsjcc8fnLKm299nZdeu8v06AiA87NzkiRlPB5bHd/PLdWAD9uinfyu+3qtJ2ntdkIYSyrbuciRrmjr+WxqT0mfZlNXFdZ3TAR5V+2P1c+FQFd6dH0Y067GmjZ5e92z6+T+bWAcaaNLqy0rt0u54i22IKXbvq8rS0yAr0u/R40GQUjQRm5tzRdzpCkpteb84ozZ7IJHT57w8MEDDg6PMNhQDbqafe05T5YH0iRuJ7bRloxNEuvkWDp9W9ot9oR7f6UfE1Ki3Tgoy5JkMODV11/j//pf/ib7e3tczGYIYDweM5/PmV1csLe/j8pSZKJI04REZRweHXN85QpJkqKNxiCd8QLqEJDr9eNNOl2cRmiEaW3riFRuy2MTYkNPm9En/D2uT+xlHJYnHIPGmAb5HM9p3qFSSklRFK0kr7839HLuqntXmaGOWR7OpbuM651N/pVQ2xAIaoHUfnATOgYRboGpBJRocNmH/YfqWVw+1ZIUDc6u8hGkbQhfso/v5I72ECBVynCyR5amPPzoQ+YX5+TGcHTzNvPzC6RMODt5yPzihMV8SZJolABUve1dOInWGO2sCdaTw1oF/PVmTJH6ZYIQdhEti8J2GGA2n/Hk0WOObt7yUhhIyWg8BgHZYMid197g4Yfvszx7jNYFi/nCxqkUkGZZlacxTvBtaSPj0kUY0kGGVIIkSSmLAl3qaoGyi5YV+oTzFkY4sh3QRtvtQsa9Wx28P+NDTJRobciGQwbDIUmacnTjFtnksJK0hVsc67ccElgNPWh14Td1U/nfL0s+tQ06Y7zQG4Rh+HR4u2cOASgliWP5As3OIaWNM5SmYLQ98KZKwcYbQkpLEEdGIj/+Q4u9XziFgHQ4oFgWdsErcqTXxkQCSYrKMoxpKhutddmwMMQT6bMiV7v60y5k8i7K4rPAtmnFd62zvG6dt02oSiee780lrJmN9HcQbrdp9x49evR49lidd4xbc214TUGajSjzReWRGa5b0liPI62NldWkcrKQM1i3KCFenq63oNv12wq9NVls4wxnINRG23rj92e0RDVsh152W5P208h0IcLDrerCbGe4heA+sSqPhp8vteb4tWqHNu4ylPv0vB7VbO/wS7PcmxA+1dTL6ivyp2zNDcNneHq9qcutl/fClrAEQerG+oZ8jeHs8QPe+cG32Z+MGY+npIOMNMusPC8kN27d4vTJY26//DJnZ6ccl5oky5wKVfLyG1+CMqdYLDg9O+ful95kOJ2CkAgD+4eDuszVX9+5zYpOVdc1rFX9WZcFpSM//Fk7dUr27JGwz64z7Ng6CkICGef45MtUPSdE/Z4uKX/7NMOydRmg2sjxdffEeRTLnEGWIaUiLwrAWGes6h6qFxKn/Wk5jnS126eR108LLBGnqh3U6SBlvpjx0Ycf8OH7PyFNU/aPriCkoSxza5Q1huVsQZqmSJVYAlIbex4PBlOWjmOxfIPW1pOYiofAjgtsX1BJQp4XGGwc5MnePjdeeolisUApxXI+ZzqZ8N3vfIdsMOBumnL96BChJMPhkOPja9y4eYPBYIjGhrcwBrsjPbAKS88BRuha/3ZZC9v0tm2f7UojJp/DkAzh9a66xM+EZHX4rP8cH4K76zgNCd2wLJ5M9iRzGDqi7UDqmMNqOyB2HXYmhyvmnW5irPJoMG4xkKIheArH4DXiEVMLRH7htRNj9NJaytNWvrZJufmC3IKCBJGiUsVousfjB/fJ0HB4xPToGkIYhntTFrMzPn73bUSxxAZ5MG5RdxZQY4B6m5Y7Fs8SZkJiKF2ZsDFd3awvpbDW01Lb+LzaegzPZjP2jUuvetn18qukZLy3j5SCez+8QBdLLi7OQRuGgwFplla6gBdiwvaqFA/pPTYsKSvTlGGSgrOA6Er5kD6MM1VhqD3DpbeKFWWlrPhBUhali1cDyzxn/+CYdLzH+NpNDm/ctv0lOGTAH6DgX3g9EUI4KzUWZpy/qalvC4X2TZPLpgHcmORCJeIFWTD9tpFOVI1lt7lqE8ZBAkuIS8f+u/jYlbBWT46eGPYHcKhqW4SgWOb2d9+fASls3MQ0HVY20bBJdyX1LiPAfFpCVox40o5/34TLlDN8Zpdnn7Y9Nj7fsiA/S3QJuJvu6dGjR49nC0cneWNoIPfaWPugddFQWCoZUls5Uil72HLp5GRprDOCV0oruVc62Vrr+twNISi1RgnpFm0X418pZGIVUyNEtN7vjrb5fJOR97PmDkOFaZ2hdx1ZFaazDtus123XtzUea211hiwbbL2WPos1t00HW5Fporzi6y8SaVyPW/fd6VQ7kR0BD6+1Rpf2gECtnW+OqOeEGELAycNPEFpjhKTUhsQpIWVRkJeCay/dptAw2ZuSZTZsX5WklNy8dQddlpRlwe0kdYdQEvggRhlCNU0ZV49lviRRnjLwuyfr3a+A1WEdMZy4c2i0NuDOx6ntU9IVrY6zGZM3tdOPqooV5ql123ht39XZ1kfb0Db+u4ierrS6no3v8cR5WZaIgCMJKtroDjH5vM4p5TLOHS/SmPw80O7M6Oc6UIkdd0W+tOu1FPzGb3wLoSS/+Tu/zWS6z/n5OcPRiJOTJywXS85PT3n55Zd54803uXbtOsPRmNFoyGQycbtonSexCy9hdIkw3gkzIPsE1nkxTbg4v2AwGFAWBfP5nEGSMBwOSZTi9MkJs9mcg8ND7rzyMoXWjCcTrl2/zv7+EYPJmLIoXfjHevdA1ecq01h7+8SkcNuY6+LlNvXVTQRu7MjnEZO1/t44Tq8vc7zjICZ/Qy/iNqNJwyAY/PW/23AhsjWNdTJDkiQr5LSP7x8asSoOJiCzdyWGYdcD6bxQYmpiNJy9Vuyj4eITzHcusfqER8JOZ6px5w//qhqr2ncGbkWqicAOwSN+UWFHrK8JjJRMpoc8vP8BZyePuXb7ZSsEGBsHdTickqYZZZljSlsuqaybP8an3V2ORhtW5XCfjcEUJaUjh/PlkmVRcuPObUsuVyy82+zjyywkg+EIqRSL5ZLFbI5EMNnbQyRJFVNO6xJlTHMyCcvk36QUYFRVRqkNSUho+bwrod5AWXuv2G2HBmMKSncSbVmW6LLk/v1POD07QSUJ4/09RodXufbyG6Ayqs0S/n0ElioRFhBh09fN91s3eL2u1icur48Zte3iuSIQNJS85x+1F0dbW9TtLaX1IJK6xJjaiGHjWdv7pIDS+K0T9UTpJyEhBGhD6fqGTGxsaZDVYY1CKBAJQgqybGiNNKZ7O6JPH5pC0joF7zK4rDDVJTT+NBCQz4I87xSSL7FobZWfzbRTUO4F4R49enwmEFSxO60iaeUYu9BKtBFINNpYOQgp0E7WMoBKMyvkC4EwujLcG0D4Q51w85tXEIoSow1JlmIQKFkilXIETWJ3aImkOggYTGX09untXM2nWCMus8Zsvr9JXIXPbTIetpWnS9HtUuy2qc86JXoT/KFCYHWls9MzptPppd+DVya7npdQ7wyMngv/ttXD/6aNpmzZovsiQJiaGA71zrg/tRoeoBpUBnsQ82IxtxqvWB1vIREKgtFkyvTgiFe/9Ca/8c1f5+4rr1DmS4wWGJly9aVb7B0dI5OEazdvWt3U60OuxEkiUSqt8wh0864KV/ysMaRJaknMQJcvisJ5sLk5xEBRlCRKVW0gk5qEqQkZ1xLG7hYlkNGqtrOFd2qHz9QRyEpW8yOedPZOaayO0fC9rNMJN437mKBtw7ZzmUAgE0W+XGIP73Y7ciPyLSSoukiedfNH17Uvqgx8GeK8Cd8v6+elFOiyQCqrI89mM37rN3+TBw8ecHBwyPn5BWcnJyRJwunjx6RKMRxPuHPjBvc/vs/f+9VfRUqFShTHx1c4ODzg7quv8tZXv8pwPKZczkmc0x44fsPU8xAGsiylLDXj8QghJFk2YDyd8PjBA4aDAW+//TYfvn+Pn/25n+O1119DKcX+0aGNMby3z2S654kgAMpSO1LanwHkMoocuMJ2XTd+Nq1x6wyluxLHXWn78eMJ3nDtXZdGrNPHa1287rcRxMrNiaEHcLx+eHI3vD8khL2TZVuZw3v95zCduJybsFvM4YrIpZp/w4Ui/BwW2JKHNC5WLytYBO0WuEDIcP9V9weLRJOWXi1jnI+/tkriGECDUMg04/rNO9z/+CPyiwuG09SSWM6ztSjdSzUgtAjWILdFz5RVfX1cEV+GxkupOgW113CeW28PrVnM5ogkYzCZ2GfjPlsR5JqL0zPmZ2dcPD6BoiQbDMgGQ6TfJmjcoqk16DpGcNxx/dYfT3ALaUMB+OVWujjCnsy3pLZwzimG0pQIbOxhrXV1YJsuSi5OzljOFmTZkOnBPsl0jyu37yCTkX2LQtTe0VJW/SEeuKsCVPSLIOgx6xfMsE/sgtqCVv/7QsC937zInaCYdCpIQghHwPt+67d12fYsg4m17a8xpjrRFVFvuRFBHtKFJVFJVhGErV4MG/AsiMs4PY+2RS7GLpPuNgtkWIbPkljuytOYwCC3RRq7lPky1swYT0tI9OjRo8enjWruB7yjhHDbnFSSYApdyV5eJhKmGbvOCIFAVs8ZQCQKnReNPIRwxlycd52UIBNngLcHKBsp7YFT4arbJsAH2HaufdZr8mVhTHdZdiVjtyJ7LlHndYTqlilU/3YRw11ptxHda3PpUrp2gBCi8nZ6keBJmG0llnX1k0JwdnbGxx/e49qtOxglMcgV+dcOR6uTZaMx12/ftsRSljKfzxikKVoo9g4PuPXqq8wuLlgslwxGk9a0Vr9vfqGhA0joUecREg9aW703TVKUv1eEBFaw6zjQEYy7D6z/V8wBOJNZPecFXEDorFO1eEfTh7L6tv0vJra8t17YPuueje8J0/GytUpTyxd43dzVOy5vTECtldlZ1Tfieq8jjRs7VyIi66cFVX22ntfcLmv7EelVI8dvCW3AHawuUBTLko/ufcji9AK9WJBpSEpYLgqSoQKdc/b4McVszpW9g8pZcpymfHLvA378w7f59X/4D3nra19DJYqXXrrFnbuvkAwGJEmKwFAWkKgUQU0GCiXR2nBwfMh4b8pyueDJ2Sn3PviAf/Pf/re4+8orvP3224wnE0aTMUdXrjDdP0RKb4S2UkGi0oq7q3iBNW0Z9qV1ul1XH9rUv7r6fOykFd7juQb/e3xQW3x/W5ptPEA95+nWcdnFHVTcB3SWKzZgtf3W1mYhMezRNmdvi8uRwztMrpsY+XrZbSdPGg0hqAliTcOC3VamNvY+zsfOx9bmaASo0ZSDwwX33n2bV7/8deRgWC1eUkq0E+ANhqIsUUm9UFhC1k4MDdLIeILNFVjUZTKAdoQqRlCWmvliyXi078rYnLdMbbMGU3L+5DGzJ084efSQ4XDAaDxBSWUPd/PpG40oS5QQGGdxjTt02EZV56/K6zxZ4jb1Soo24Iht6eqrdQlGo03JyekJuSk5PrzCYO+I41uvMt4/xoe78IpPKAjsIuRCRfG7CnXe9kzwogm2ABhrfEkry1P7baLaeoq1TApvNHCxpbV2i4WLi4OoyF2VpNaIki8r5VQKGyNRSIlUyu06UCAUSTZEJf4Auu4V+mlJ2V3QJmh1CWfbpvE017fNM8S6hW3XMn2ahMBl3902edWryuqzT5N3jx49euyKxhoSGLqrkF9O47RGU7etWgBCO886LNEiDLosrLAjRSNueyibKWVPw7YH0Ep3SDD2NHSpMFIxW+QoZRgMBrWS/DnhadepLoWsaz3fNZ82pWzX8mxC7LiyjZxQr/WbY9eG+fjn29JcKU+dRfDhcp0lVHJfBIR9yEnClfc0BH/XEAINeQw7dH/3t3+b1GjmpydMj683PIvtM81yjPf2OTk54eJixnA4YFnkFLpAMeTla9dR6ZDp3oCJMQisQ5Obaqr0REv6IvAO9mWuy2vQRjO7mDEYDGy8U5pGF3/OiCc4bBrW09D4rQheZ3ZlEK77GOMPTJdV4arrVb+LdhLjSeO6QQN++KnnsJg0ComZuu1WeYa2z2v11WAM2h0dVGGA/Fy/KY+uMsW8R1iHrj4aP+fLUZYlSoUxkE3l2fjTgEt1FxGYXryRl/CVWQPY3bt3GQ6GnJ6c8Mordzl7csqTJ0+YjkbWCOAOJZNCkDkdOU1TZqfnvHzrNofHR/zB22/zvW9/h6Io+Obsn3Dr5Tt89Q/9DG+++Sb7+4eoNHEErsAIQ1kWlAtDmmUURnPr9m1+9M7b/M5v/Q5vfenLLOZz3nnnXeuNbAx7BwdM9vYpwRkCfDjXpnlpF52ya115lnN+J0fYwvN1lTEcG+Gz4Rq1aZ2Pn29LN74uhKjiBLcRwF35tR2w2dYOYdnbyPJtsRM5HMcC2pag6Zpg29LqIohDQlIIid2F7p61F1bvDdKKXxjVd+rFC0AlZKMRRbFkNj9nPByAs8Naa5qdCkrdDKjvWghPmkGQV5WnHcAE5Wsumm5gGsnRlas2rbqGvuVsOXXJ+cljPvnwffLlgiRLUGlCmg0QSHRhQGgQBp1baUZrjUqU8yRpBr0XstmZq/fhJAzjF3nvEWpsmkbrKsaU1tp5KANac35+wtn5jHSQkk5GDA4PuPHKGxxcu43Aeq5KF0JCU5vkQlm0ln3rycrQuFD9CW5tzPpdE0Ddov4VRXkEz9f9L8jgxZBvG9A4At+RvzG8Iomx1kcvihljz1i11q66Xxu84CkojYuNlGSIsqAsbRxFXCxprUukzEBKVDpAKju2tsE6gWzb57oUvm2I3rZnN5XjMiTttthWedzl+csotF15PU1a69LYJt0uob5Hjx49Pi94YthLdRh3eoURoDK0Lm3cX6GcfGXPYaiiaJVlJSN5+Vcay6ZUsqTWGKVAWGeEaq0XEiEUQiYk6QAhJYPUefuB81fwrgf1brXPKgDA0xrtngdjX7g2PXOjqgm4I0f6r0vPK6BPo6gLqKKfxOL2OrnN6zGtd3T9/pzCONbWaF0V3AhruImbcJ2iXuuh2roPiYQHH/6En7z7Ll85ukbzQBeCdGw+SibcvnOXGzde4vHtO/gQfwdHRyRp1oi/az14RYPEreviE8YRtI2v1b+edPWOUN7bzRgbSsLqbjUx3Oj7dUe1befaUFROUfayJ4YthxzqU3anbljYmoxzYTic0lbV0TdWS/uHf9eNz03jt42E2qSXdI2zqnx+74YQlSJahW+UgVJLk7RaV/543O9qdAqRJAlx6MDnYa79vBC9XcB5j3r3OSFQKmE0GvPqq68xne7xySefcHh4SL7IuX37NodXrvCjt99mtpiRpinTyZQyLzl98oTxZEI2GPD40SNu37nDa3df5Xvf/x7TycTuDDGGTz68z4P7n/DLf+bPkqYDkjRDSijzkjRN0EUBZc7s7JTHDx/wg+//gJ/9xjf40utvMBgMGU+mXLl+DZVlHBxdAalQIkGXllsLx3VMlG7rEdzVT3bth23GjHhMbTLCtBlRvJEj3OEfp7WNnml3RTef7yJ5QxI4HKfxmG77HoaW8DyslLJ5RkVLO4Rzgo9ZvC12PpDOV3KbF9JGynWlF9/TRhAHGTR/94LtOsGsYv0qJrZOygi0EGhTIjEolTKcHpINBxhjX36hSxtfCWGtLA2JCesZKZRd8GpDaFSWwO/XkdHCBGXCxmld5prJ0VV8IP5VGBazGe/9/g8Q8wtMWaCF9cyUwk1WUuA9P3VRUGg7ECgVQimESgJy2w4QI3BhHdrIFYHRWC9hoxHaoIvCWhGNoXBbG4uigBLmZ+c8fPiIZVlwcHTE0a2XufLyG+wf37AhK5ywYKoJ1nd636ymWiiF+2oFKIPf5hC81Erx6nJqiH8KjQ0WLZNercM10vUKFKI9MPvziDAcCG3jw8EaJKxCKl0ssLbJtc1QZHTpBDV7GrEPHSGE9aSXSmGkPR09SbMV4bouw3or97o2Xxn7G4hfZ/No1O9ZCT/Pmpx8kQSzZ1HOZ5VGl9L2orRljx49XlysOEAQrDnOu06mKUm2T35+ijAa7RRyhQZtw5lpkSCEl9vKgGxxipuPPywUSIUxNryE9RROkCpFpRmi8ugTqICUqubEDhlh3ZzZ9fu28+y25PBliI4uI+Ou2OWZLvnlsvKAJYx8et06VZe+dbm28kJvCykWysMtbStpr7sI7nkxYPCMtlX5qkq7P5tJ+oYTk0vxq1//Ot96dJ97937Cm3/o5xBy0DEGnLbh9J00G3L1xs2KUPX3yqpvyGjo+nKGZcMRw/55X75maAar68FoOGrUrSah9UpdqxyNASkbda70NjfHGHef8aFvBI22iucj4V9CUJHw3KJQMWiT+doI43XOB+v4iDjtON+tia9Apwzr3VWfmGyK4Q+0D8N9+N8vjzqdp9mm/tOAiosIuAG/20cJCe5MAJUkjKd7fOnLX+add9/ly1/+Mnmx5JNP7vPRRx+QZRl5nrNYLtjf20emgr3JlGWRY4zh+PgKwzTj3pMnTIYjZrMZw9GQ+XzJJx/c5y/+pX+ZYTpAJAmFdgecOSuvUoKH9z/iW7/+Tc7OTvjZb3ydN7/8JkokDEdjjo+vcHh8hcnhIdrJB3leIlGEnW4XY2ebnrVuLHxafajLaOL/eqJ123J1GZm60ooJ8pCcVko1SF5PTsdEdfhM2zqy7lyAuNz+2TDE7bbYOaxE2wtv+63NBTou+K6FjdOoF2ockbhSYKC28laLi2mKPN6ia3SB0TmPHj5kur+PSjJnhTXkSztoRaJIRIZBkxc57iBWG4NY2ZNZlbDErF3QZGOhMy5v7Ulh514O9pFlkbPMc/YPD6sFvRF/CFuP4WjC9dsv8953/gWL2RyE9QjVwm77N4UVxKSSaF2gtQQ0UmqELEAsHXEnSJQ9oMRu/beH2AlZx4YS1LFmjS5Ba8q8oCxKlssFYK3VRmuWiyWzi3POT06YLeYM9vYZHF7j9pe+gRxOKQ2osrQndJuAkDW10OJfkiHqG8bX3kN7JrlqmcCVtdlfVtdbtNacn58zHo1QifAdq0qtMmYbU1t4Xc/xQTBelGWymmw01VhpLbsQIBOETHEu4NZzQClsAHyD3wpr6hdm+4nbdqZ1AUK6uNWeILbhJZJ0VIWSiOeBeELsshDuNGdsUIqsR8hu2y2gnj829YHQMvhpomsh32TB3fTb84Zthe6uNedSfahHjx49LoHWed87BghRiSy6WFqCeDCgWMyxHgYGI9NKDpIm3B5s5TnrFWK3XitlwzUhFVKlLg+7E8jG9ld48ki7A4NpyNFbzomtS9kGo3PwmP/sZUvrONfc1Wdl51r+8k9WOYTtGizC9TOOg2q5p05ijWwQ5BnK32FV4/p01b5BckXPeyLNG6pXyu2et9ywa6/gfa2sZ422EI12j+WqxrM+c1/3lvQa+VTyMM1nO9qh4WAQfX+eYQ0w1tlGBDvmiOSJ9WnY9pVOF9XGcPvVVzn/tYL5vfc4OXnI3v5VpEro6kWVWgTYEIVOt3VlUB3P1d22wapWf43RlGVOPptxMV8wPThECIWSgo8+us9kMmE8HtvQAq4zhc4bIVFR9Y1mV6+uWXW8bkPj+pkU7V5v0D1GQ0+5TbJsV9qh112XQ0qcV1ymLjK5C2GZY9Knrezhb9vIrL4um8i5degiyNaV74sAUf0DATngzlvyu3QkKk0ZT6aMxxP+6C/9Mf6nv/bXOD09ZTwYkqYJYEiSjHQ44OLiAqM1WTpgNpsxHo3ZO9jj5s2XWMwvePzoIXme25GuS1Ihyc9n/O3/82/xV/6T/xgtDcJIlkXOIE0o8pzThw/4rW/9Uxbn5+xNJxzt74E2TA+nHB5f4eq16ySDgZUJBLbMiVqJer5i1G4xuHTd29p+WxgrNhlxNxlo4jHsde+YLI0NWmE6YV3iz/Fv4XjrIp1DDsCHZAm9f8P5xf8eksg+jZhcjueedfPPZcbszp7Du3SCTZa3rrTaKhm+5NXFyApwtdDsg727ddwt6sYLnMKRQsEqpo0Nj/Dg/gcImbB/fGwFdGMX8zRN7cnA5RIlwZQJGmE9drVAo8mLkiRR9vA2Y4lhY3w5/QvFpatrAbmqvyAvCjQ2nnHUAjSlNMnR9Zu89/3vkS+XpKlgsVyiZgvSLANjyHw8Gvd4pUgEFg2DoRDSbfVPSBNLFFdeoy5XYwxlYYlhXeYsF0VlOVkslywWC3Sec/LoMYXWTPYPOLh6jTuvv8mNO2/YUANGuxN/JaW2gpevu3UKdm72Xh0KBmNNC8tADtW14G5q1cEYmp4Nxgl5rjJeMZNSMsoGKKlcHDHjYuIK60ds6hY3XgA2piHYC909IJ8neEXQxg0Tzlrfdp9AKAXaksFIZ080kKQpZVnaOIeIql/XfUxXaeANDnb1ASlJBkOkHGycqLom18ssSOG9XYLfury70sqXS5I0QRJsE2jJZ92Cug3WWW/b8orb6lkKcl3CwqctLK5T4jeR320LaY8ePXp8lhAGFzKi/s3vmxJSgIbl+Zn3E7Red8oqbGVZOlnNyRxCUBal25YtKI22W0vTDPICqVLwXsQqJUkGCEfAVJJmvJa4ZTokPGN4mciXPr7LRkzzspq7wwq5VvaIngz1bBH+xW9Fj3MwzXsqBT0sl2tnd0+YjxcBQ8KqDcLfJJrVbZjUTZCPEEGe9qIIXnX02pt1DvKULnnhiMT6IGovE4vG/YJA1g3urPSdoO5dUmpRFCRJUnn6hm3V9pxfR/27dBJgdbOXrQPx+4UhglvhOlCDNMG4A5tbZDDC917f48+AccoIJAl/6V//N5hfnPHo4wdok3B4dKXWk71sHXSUkLN3h99QFDkAKss6iOC6LKF9wt92dvaE89MT/uC73+XLb30NKQWLxYJRNuDalStV2W34mbo+VRJCrKZLs994/bHSyQkcuVqGYBtxE2Od91+bHNyG8GC5trS6yNsY29zThTaOpE2uXleP+P4uMvuy5dyVAH9e0dZPK6yrlok+VxOzb3fnrV+Nd0iSlCtXr/O1r30DbQyz+ZyR24luDJydnZEXBePJhOFwRDGfM51OeeONN7h+/Tr3P77PO2+/zTDLmEzGnJ+dUxQF5bIgFQnT8Zh8PkcOUvIiJ0kT7t//iPfeeZvv/+7vcvXgkL29CRrDdLrHIBsw3d/j6rVrDMdjRJpRaI1IUhc6anVs1+3WPsbia9voV5v64C79q40E3hTiISaow3nEX2v7bXXOW807/Bwbf+LvUspq/gnJ5TaOtIvgjsP6hOXzacVOurvowDuRw/FJfz7Dts9hQbvuW6fYd6XVOkkFi05wdy3uiFpYDYe1wJLJhhK9XPLww3tgDNdv3UZKS6xKA0KXJFnGYDRhdrLE6IKSktl8SZplVYgJWz7lToi25HM8UfvqSmEPnzNaYyxTikwkSgqUEuSLBRqB9FsHG7XzUoJVIgwlZ2dzhnlJqRVkOeMkQwIqkRhttxoY47bvYCoLttEGQ4k0lhjNy5JEJRi/zQfvNQvlsqTIc8qyoMhzVJpSlCUPP37AYjGjWCx5+OAJN155jW/88V9hfOWKJRS1ex8ieIeuzYwxPH7yhCSx2yXTJCHLsuqQs7AP+aoHMnnUF4PXrwPPXuGfM2htGoH/syyr+kMl6hpTn0rakrYOCGH9gpDDBiCaPPOiIHHbjyrBBNc3hQBU1WGlDIQMWdsY/WnK3lAQToL2fwkiJRuO7PbWjubaNI/E13Yl+p4lMSiEYDAYfCb5diqwbb+3EMLPksBdR8I+b9hscQ5Xgx49evR49vBEWUW6eVKz+ma3dYpgPmpIem7NDucvrTUySakM6e72siyxh73aXTqpst7CRsiAaOxAxPVW+UXsYoPwbNzf8bxthIogas+4uq3VmLpeoW9etG3SXda4nOshmh9NXY8wn7CAFWHbLeiszUqE960hZGJCEmO32Md5WV1kVS7w340x5HnOIE0j/amjmA1lOyxAUP64c4RFcn+1eZpt7p8dKoVdWFkX3KgVlp/11HjlAFR1PlHpN+4he1m752XC8fUboK+TL5Ys85yz0xMm0z27S69FNgmbVAgrp8s0g2AO2LZzG6P58IOf8MnHH/LKnZf5+T/6S1bfTFLGaYbQQFnaUgSkSUNXCMgw+7e5w7V1qMU/uu+XJTDWkaBdPEWcT1sa6/KJv8ft8rSICbenSbPLgWSb53764Htl85e1aNBM0fpc9TPHqTTICUk2GnP15k2Ojo8ptWY0HlleQmvAMBoNyQu723oyHiGF5NGjR3z88cd89NFHGGx4iuV8QZokKCnJlzlJolgu5vaMglKQpYqL2Tn/4Nd+jfOTJ7x09SrjLCNLE9IsYzAcsbe3x/GV6wwnE6RK7JlZzgGQQEJZ54Tjr29LIG9LKsfXur633R+n0xZyISRVYxI3TksI66G7Tf8Pyecw35Bj8QS0T9cTtz5Wsf/eFmkhbusug5m/J04jzNt/3+UwyUsdSLcOcYXWNXKXsNKWjltru9OsWN+a5gv/xmuSF9oRYMqCx5/cBwRXX7rjDsrS9XUNUgkGkymzJw+RWEFMCMhGY/L5BaMsQcrEnexpKu6hLE3l4RF3TLulxwofGiiWS4pScnT9DuPJPpbEFZYLNjStyO7fLMlI0zHzXHNRGspiySjJOD99TLFwhGuaYoxBKUWSJJS6RJclQgqSJGU4GFCWpTtQTjjP0KBpjSOHXVnLskSlirLMWZ7Pyc8v0LqEJOWlN97g5//kn2X/+i20SgCNCmLjCddu/qX6mMW6LFkul3x0csLe/j43rl9vedducg/bwITWoabAWXl6GGqSUzQasCK+G32DmvD0dwnR7ENewWvzvn1eUZZlVX+tw5AcUV2lIsmGGBNY1qzG41Rbu7jZgyrq1tPuAB1LCFslVaYpSTqqTlx/WlL3MpbKy2IXQSpcgC6TRluabelteGhFoXweydtd22Tdvdum07qo9uRwjx49Pk1snGLceikdIeQJz4CA9POlFNLJgF6GsvKQBKegCpAKkSSoNAOSSk5sE5lXFL1AwDHGhhFTyeq5F5tk+vh6PPO2KT1tabatE7F+0LXeFkWxEnezeWNYnlWe2bd9RXXtuFRso/y2FmuDYXyF0BLdBEd9f+2r2ZRzrXOELkvaUll5j5esUyMNnNj5giy9Dc8t6rYXXi8L3Xr9X08Maxeu0Bi7A09IpCdWAbBxQrNBikqWnJ6dkOUDMjFwBqENhYvmgW3g9eiiyPnwg3t89a23yLKhfdo5fSzmC7IkrYw69rntyJ/G9XUXOyp3WZJ4HakVy+ab+rUnbMLvISHeNSddBpvI3y4irt2I1n7vuuu7lK1rzv2ioKl7Vp8CXsfNtcKepySFIBuOuHX7NlJKBoMMo0vKomA4mqBLQTawu2TyomCxWFTkXTa0nEye5xRFwXQ6tR79oxESyWx+QSpt2NC8yEml5E//qV/G5AWPP/6YxcU5xhjG032Ojo45ODxkOJkAAm2sgxdSVE5wwsdL/gzQ1Q93Mda03ds2ltr4xFg3biOMN5HYbXOID/sQh8wIx6AQtcOo5+Tayrvpt7b0Q0/iJEkaZb1MzPGdyOGul7QNERFOLPEL29QB2ojhTem0lWlVsBIYYZidnZCkGccv3UEmqRNeVC1YO9I0GQ4wMqnilMoM1HjKMi8BO6itFUBgjEBrUKppWfSWaN+JjJA2jITW5MaQ7R/y6pe+SrGcs5ifMxiNKq9LL4oYA7rIOX34CcvFHKMSl5FhcXqGKlJ0uWRxIWpCuCxJ0xQEFHlOUeYopRiPRzwpNcPhgNFoRDYYIDAUeQ6IqvOWuqTUGl2WFEVOPlsyOzvn4vQCnSj2jm5w+403uXbnNqO9Q7RMXXx0UZ9eG8C3gZSSo6Oj6v1cv369epd+EDXfW0wWh++6/lyWpRsgBoxwMpsT2ioOzRKdxuVdHdRSeWaHWflQFziB3CtcL4YHBLhtVKbe1lB5JAVCIABCYoxAJgKJJe7RLpxENRZtaInK4UnYBcaGklDV4TdSeu9jtwqZ7jliF7QJR9s80zXZf1YCzzblvgyx2+YdEC50m9K6LJl8mbZrK+unAZ+ut5j6BdPlvDLEe/To0eNZQhhThVtY2UUGdheT21EjsTuRpAB0EDJL2a2o2liCWArnLeBSkcqusVImqHRYhY7yYowwtbdyp2Jmr9bijHBOAkbV1FO1zm/vANJ2vWsNbFMKu9Jet24YY3fBqZb7BXXT1WmLuv7uu5WLwmub843rEMJ6dTeVxLi+tfPEDkSUf8fufRv3jnx/C+8jIDVtzWpiwOeyrt13WavX9gnx4hhmjTGBt5V/h9KeMSN82ED/Pp2Iq+25L1IIt1uuHnv11mFhHX+wbSFVwsH+AbOLCz65/yHXb9ykLA2D4ahq8zzPKcuSwWBzaLZ10Fpz8vgxr7/2OgiJEDbWsRR2l6kuCoxKGmRDV9sAjT79NIiJGf95HbHTdl/cT9uInK481s1tbfPYpyW/ttVhk77Qdk/XfLMu3ZW5I8rn6Q63e5FhKofB2iAjVvpO1UelQgJfeestBqkkyVIECfkC0iQhNxqQFKWm0CWD0ZDlMufCEbtANdY9D6OUC+5SGH7w+z/gy1/5CrOLC95+523u3XufLEnI0pSXblxnMBiyv3/IaDwhHQxASOvgh4HqLKwSsOdMfSottkE2aEPYntvqrf45/9s62WEbg0xMAMtoJ3uchudTwjL5ub5rTQ/5wHish89tagM/HrXWlddzG+G9TVohdiSHd7m7ibaJf83d1PxtHX9sfdm6Xa6r300dy9ZLUsaUXJyfcnjlJUgzez92GhBuEpACTKnJBmP2rlxndnEGxnD12jUG432W5+d88PvfZqCEFZ6ljenqX7xSEq3LSigotcY6bmonKFkxTcqUcpbzznd+j2GW2W0FoxGT46scHV9FSlUd8vXBj9/l8QfvIaVhtDciG0gWFzOEVoBGO4WkxC72AmyMGdtYdjIwhtm5nYjm8xkXFxdMplOGo6FVQqSiLHVFZBdFzuz8nPPzM2YX5yTZiP2bt7l65y43Xnmd4fQAo4TdxohTjAQrA8S/l+VySZIkDdImFqQgigET3UfHhNBUxAIBX4jKCzb0xA53hIAV8KqvguB5ghtfDAEXggkv2GbQdngBCNLUh0zQbmtLii5zdGnjTKMDw4xxMe4EoBQqSVEqdU4REkcvhyUhaM2tyx5/7xL+ugSqyy5SnWWyiW69gMVW923Ls0ko/CxI7XX5PMv8t1G82977NiR7GN8JrEJ2mT7Ro0ePHrui1asFK/ulg5GVP7DehtaW6jxQTEm+XPDg4ccMhyOm030Eysou0u/mk0hpd65JUXu8Gm8Y75BTGuURon7GIU3T+jKr0k6bXBfWdyWPjjLEa2P4fIxt15s02azaVPkSyxA1GV6rDk1P7m2xjaK7izLc9lybSNXWpvF16K7LJgW67T6v7LYRVG2k9ouAWOm39dD4g8atPlkT7cZYbUPIOu6yDPpNTTJYA4/GGjIQAmkk48mIoljw+NHHGATXBzcRJPb4DyUjb3ivK/l+2jBjuL8hcWv1aqM1o8EQKQVlCaWxtdGlQQjDIEsr/SvuJ21jNCY8LiNXrSM4Q8T5hOXaRaZuq8O6/DfJmnG6u+CzkON7WbcD29FRNYQz9jZ4gNU10K8fSiX8wi/8AqZcspxfsFzMODWGfLGkKAxl6c45SqwnbzpImao9xxspzk5PyQYZw+HQxRZWzBcLxumQd37wPW5cvcr779/j/r17TEZDpnt7XLlyTDbMuHr9JqnMnJzhQmVKaf8aJ2u40hqjIzPoZ491enwXNul+/p51RuiudEN+JLy3i48IOSsfUzgMGeHPjvBrQDiXrZN9tiWypZTVnB3GLw5ltE8trERYoG0U8vjerpcfP0uwrb9+PghHsCHfOJ/moBVuU7xAotH5Em0gSbMqb/tclTAIG59XioTD6zfZKwvb4NJ6Yg5GI9K9fZYXp2TCU2Ey6DSlN9zb+SQboNIhi9kFJl8ghV2YZ7M5H/7kHlePr5DJKUjBcjHn2ngCRlMUJbPZjPl8TjG/IEtSGxtWGOR4hJ5MMEUOxqCEpNA5GuO8TYSrg6hI1rIsUFKgdcl8uWQxn/Pok4ekjrBN0wwhJNoUXMzOyOc5y1KTZEMObt7llTe/xrXbr5INRnaLgnUrqQ638K1uPalXF9csy1oHbTjI7DM24Hvt32Hq9AOhuh4EkSHD1CpPs+8KS9Bj29BUiTYRKw8vJIw3uFhNQkoBQjtSvDbA2L7hNyHWHiVKKZRatajV7S+dU7DXpuxn99abWzQ3IJwv2ibiTc/ter2LUG7Ls5rQASPCem2X72dF6LqMO9uvTYGL72m79mnisu/vcmlLmr5lPXr06PFssY3cYAgPbvUGa4NUhsXigr/5N/8G/+yb/4jJZMq/91f+Q772c38EaUS1VmsnK5c6Z3n6Y4wpyQ5eRogxnuEUwfreWiZjKk9Gf9+25d+EbdK6zNy+jR6yKe2QZLqsEbarTWOFbxOB1SZLbFuPyyBWkndN/2n6xosiT4d6BYQGEYk9HLvb8OL1k9jP0qZhpWJh7Lk2SKxTjZTsHV5hOZvxwQc/YTQcAnB+ccHh4TGD0QRkTUqD9xhz4Qw3SKNCgFSKbDiyB1k6CltWcakl6MTKjl4HE6zIkiGxEddtff7r9P7mfaE+2ObFvI08v25sto3JLrm4La/4WlzmrvS3la/bSPe275vIo20MRLGn8GflEPKZwEQfGnYTpw81COCg/4SqLtTrZPWew3Rj3cogEsX1GzfR5QJT5JyfnTAYDHn04DF6AIvF0jrfUaASSVmUGGN3Z2utGE/szoHz+TkqVRRlQWkKbt26DUj++W/9FufnF9y+fZt0OGT/8IDJ/h57h4dWjxcCq+vYuaF+r5bhVu4MKq2bpMmu686zuD8eL5vWVGDFcNf2TJcOvG4cdnEP8bMxVxWSw13llVJSFEX13acRxgheJbQjTisqt0/XE8Nx3kIIx+Fsr/PuRA6vm/fDFxwGQa6ffXbCwDrm3pehtZP4iUBQeW3MZzMme4du8XN1CdJ0LDWe+VepQqqk9iwAZJLy0utf5tEHP+HiwcdkxlR5aa2RAnIUBslsds40G4IuuPrSHR7ev08xO6EwklIq7j98gEpTjDRM9g946ZXXGQ7HThEwjMcTZqenYDT7x1dZFksuzk7IEkWxWGDKoto6p/Sy8gYJ20NKa9FQ2C2MxkAyLhnMZpw9esTZ6Yklh1VKKhJKrIfzYHrA1as3uP2lNzm8+hJkA4yRVqgRBqHdASsVJVh/8vn4trfCTCA2GVFdNBiEjCcPUxGQAjBa+40R/o01yWN/Y0u/McGLFp4gMlRttQrhPGCx1ja5vp89lxA+rEm9nb4aL+7fcHJuJxH9oYL1Lw2Bhebv1bbYLWySbYJV+Ps2Qlr8bBd2FXxisrqtvl24jIDVJnDH89s2eVquvkPwtANtq/b8tPBppN1mnPR/hWiS+RsPaerRo0ePp0AsoEO0/gSKqyAIXWWf4P0f/Zhv/oNfQ+ick/mcv/O3/xZv/ewfRqkMifUKtocJFzz8/t/m/Dt/HXTJ8NVf4drP/1WEGlnvxZa5fhdiZ9trXQpX1/NtMlTb+twla5Vl2VB4/H1aW5lVsqqktTmstMkXbQdwt5Vnm3VsXVtX5VnTRm3P7mJMbdPHWtON5K2udNvasOu5VbmpGdP1eYcU0nr3ibA/V/FX3F/nlRv/Xqkh9X3VV+G1JXdAkXKhA4UkHQ555dXXKZZLfvC974KB8WDCaDgBHfBbwjvfeFU1fgchiRXUKUmQYEkKp5NZ+cgZkwQg7Y5XXRqQm7c4b0NWemxzX1v/6upju8isz0Jvu2wam+aBbbANudUDVlR5E8n8l+oC0o6/SkcO5mIRHj4r8AEc1GCIKBXZWCLTESqbkA6nzGYzFvM5y/kCo+1Bc48fP0ZKGA4HGAOj0RApJScnJ6RpSl7AcDJmMBpzdnbO0ZVjbt+9y2QyYTgeM55OGIzG1kNYQ+nC37giOVpEVOXWLk7ys1SG2tandeRx11rSlXZbujH3F37fthz+enhPG9EapxHuLvF/Y89dxxS6zxKl7O6MoigwRpNlSZBWEAYVQ1nqII1agy1LjefQjKm9gn0d4jPidp2vnklYiS5BLn5RXelVXF3LhNsl1HlZKs6jy0qA0Zw8foDAMBpPEElqY73p0pKxxg0QA54oq9KAKlSqLrSztvgF1ZVTZVy5fZfBYMzjj+4h9NIK+0JQGMHk6BrjvT0+uvdj8tkFEvhkUXB44wYPPpgzW8w5fukOf+bmbQRQzC+Y7O0xmu41hCopJNdv3CQ/2OfJyWP0RU46HGFKzby4YDQZk6UZ+XIBcxDa2CDojuCVUlBod0ieM0FLd4hYKiWZUkz39jBCoNKUZDRhvHfE9PAKo4MrZKMxJImdYIR0Co0GI/HTTqM3uMkn7gFFnqNSWR8QJ6S71won2lgXfKVUTS1WiQsrrFQ5ujjCLm0ZCjjU5PiKQrBS2posDfQzS3L6/6QBEQ/8FwDGbxOzfbcoSrQpUCpByZZDC0RNtQsho/FVE/LQrkyE4zJU2LosV5sUxF0EoZVnd7y/C5d51+uUz12e20XwXocuZd0rF133h+Vqey+XaZuVtF1B2tMyq9+2WI98eRuGD+xJ4znbb7Hp0aNHj8vAC+5t4bM24eJiBsYdpCsEZ2enFEVOquxON39QsSlmLN7+O6TLRyAEi3d+lfmrf5Lxta/jFROf7zpis2uN2STLbwsfSqwtpmVYPlg1YPqwG2HIsK51p+2gl3VraRfh1JX+Nu3QJnNu+0ysQ3WVMfz9WcgxXqrr6hed+lUHOgnjyzEznz2cXhMqBJYIap42Yoy/rc3rKyIJwjYTIJD44WDbWICwRHGSDPjqW99gmRcMRqO6LCKU1/z7j4pei/LR77VcXnneBUXTbou5EAKhFFLae8PDlsI+6tPsGtNx3l1t00aUdhkeur6HxEhc113QZbQKr8UkVPg3fib8vm15usZ9qE/FBNBl5fAmt9KdRkh6vYjoKnlobGmgMVxFdbcObhbQcpSOCxeDnROMkMhsyFAqVJqQDYYsFnNLDi/mFMs5+XLJpCzJl8tqjVNKMRqNHZ8hSbOMQhvSwYBrkynHV64yHI7ZOzhApant90JVeo5Uys4nVbGcD3FrjOFuQrbt8yaj5UZObgO2JYjXlW3d+ts157Tds67eben4seljANdOeZ6v0tWOD2MsV+XHljFevqn7W1i+ijIL+mbbnBS3Q0hib4NLhZXwBRVCVAWMX9g6QeZZEBxtDdC58CCYz875/u/+Jkd7UwbjPQ6u3yLNMj78yXvcvvs6PpCMwS760j5o6+bJM9fwpXupIYmoAIRi/8p11GDEycP7LM5PMfkSY0pOH97n7NF9hBCoJAEDZb7k43vvkeewf3CFw/0rZAMn9Ctp41ZVbRx2dkk62efKaIrWBabIKfOCxWxGXhYgBBMpOX30gGKxJAVSU9ptRIliOZ+DLhBKkbgYVlprxgdjkmyESgckwyHpICMbjlBJBjK1YSMcpSpFQMjjeNt672LV/pX3aPW+bJ2SJLH3C9GckwRgTKUMybAfCdvi2lnnw+Ej3HMVqSmo0o67Ypvw5gW3ivIUdgD7/mOLXw/OZ9GPP0uUxgZT8ZNDkiQYFJiaGPRhRwDb1wUIDKUu8BT5vfd/wv/6N/46iZL8q3/5L/PyK6/V7zeYy0qTszz5CeXFjPT4ZZLBBKFs/OF63NRhKxpw73CdEOVo6ajvrHo+G1cu4wbzOoVvLVrYUxNeC8oQ12W13NHzbXCNFCuLRONhlx5o21QE/Vc3rtr1KJhXCUO0RItoh6Duty9Fy2dHiVq0maBOK0+t7PHyH4JnZHDRYI05QboLXSARCAn/9/d/r6NcPXr06PH0sLugBArVuq6FxlgiIzfAS7dvsX94yNnjB4DkS19+iywb1ukLgd2gaOW7zGik0WiRUyyegBGVLGWz6VZsWgmRqD7bKFTNZ3397DRc6hJlmsRtvLZVa2Sw/hkTEsX17qdYjou9fdvaehvix3+OjdxdaGuXtbKL8At8sw4rijXUPhPRPW1liPOBZn8KZaNQUTTuRm1M62r9dLJu+G5tnU35ongOW31LOrnC+IYCEL5f2K3ZwjG2tQ7hRMOGzOb+EYFO4XUWTC2fGRv4EGXQUpJlA7djNZStQg20rdyhzmXT17p5v49T6RP181VFZNe1rQwubaRPF1kTj8XwWvxc27hs0+c3oYuHWGdk2Xacb4tt9MNN12MiJy5XSAyvM95d1rDTUuAXSuetJ0z7p8G3dSAerm3PxC1Qz+f1d/+/EgojpI1SntgD2lWSMByN0WVJni8pl0uWizmL2QyZZBRFjlKK8XiC1iVpmnLkiMOi1AwnY4bDMVmWMdk/QAqBTBTGSEq3TtjD8GxMcVuP7cj/Z4FNxswYsXEinl+65oBdOJh1c1Bb2dt+X1efeO4I5z07jr2Hr674Ugh1e43WZfXZk8OVnNAoX80L1veszmGe1/Pf/cHs2+LSYSV2ffHx5zi91bzaJ7k43a5O32DZjQ1jMMxSEjTC5KSJIF8u2Ds8ZjCeEjYyODIJUwlmYfpGa0pjEFI2yUtjhfXR3pTBZIpezjh79ICLR58gdFmla4yEJGEwGTIeTRlP95GZOwSsIUe0ezgYT+RIYQ+pUwPSAQwnB1VhtdEcXrleEWJa+1AXAqUkZZFjjEHJOjayShIQ0m41EC6wlRBgLKGnCE5s9O1TfW6H8IJPWI9K4I/5nnrrlvDWLhEcoE3LRByQmfXvgZDmBWspVrkofBVr5akuIwgXN9rE/avSd2oB6nmFr8/52TlnZ2dYT4jmhOzHkda64d1kX469tlguKErNf/ff/tf84Nu/RyIEP3rvR/zn/8V/yWAwjJrWcPKjf8Qn/+R/RC1mcPNnuf2n/zNUto9QdRgPE05sKyWPJsWWX4Ur4iay1Qq/LsA8qxP9isXTieBWdu/yfAkKsTPqsdMkOYP0w3FhTHXdCvemuscTvMaAruYYG0/cl78sSkp3GGVZ+gXCGbqCxaLUui6HoZ4zgsXMQB2LDmjO54HlstKMVutTusM5fStYbxT7rVJejLO8u0Gqy6IyCunS1gdjy+PrVpXN+DnQNMpaAo/OTlFCMMgG/I1v/oOVOvTo0aPHs4Jx8pqVQ1fPPgjlO+uNZK97uej4yjX+g//oP+Uf/v2/x+HxMX/xL/0rKCHtdZemBEw6Zfjyn2D+/Q9RekExeZ3B0atoIazcFszHm2Tr5gUqr6iNcYvjuhOs1cJuWc8GAxLZJJn8vZW8qev1uN3TJRYcA+WIuo5dTiNry7yG8FqnmLaRWq2kry+hcPJjQAK31JI6NJephJ9t16vGXcEzyzwnS1PqLmSq8xMMBiVEJdO31WuX9bImGe2aXZTWsUSbfOs0Pk/YYeMUeftL5WUbDGZbT2M/I0RwMGQbUWJosk5hv3JJuM9aG5RMSIRwxL19V57s9XKfcTounf28qYOvjAdDsOUcgs7RKH9MPnT1hy7yN/y8Inev6VfrDDpt97XVcRO5s839bfWJdYmuOneltWu929DVFm3EkTG1k1BZlq3bz1vnXWPIi4Ky6HfcbVpPBCCFsl6GogoY5ZY2iVSSJEntrvXBgPFkwmK+QKQZaZpSliWj4QiVWOe9oihIVMIyzxlOxmgNg9EQrW3YASmSauxrBKZ0BGOLvt9a/qYy+kzRNtYbWQdyyboxscn4umkeaps/2tbpbUnjsKze09v/7w+jy/O8ivXrORZvwJYB99YWwqptPmqrQ8jj+N/i2MWXMQhcynM4nnDa0DZJ2t/8elMTHOEz4d84vbYyBCmxYvYJriuVkKWZXUzdrcvlgis3biGTtJaATS28NUzALiHrUWytrbos7EIta5LQVISaJi8KCiPI9o5QbjJI0wyVDlBpilBJbZv1JGo4SEXdsRsDDIMK5QpfPCGqz9IohKk96qQ/6MTY9NJhYgmkUEnxQqgpkSR4ZtXWTlZEke3MtiS2aZpEXviOwte20tldvTH+0AZLy8kqXa80mFXhhVD58HXzWkzA2QVk70r5cP00CBOihWtvhGt+U93srTZVvU2zPM8jTk9PAfiTf+qXn33i/8+v8V/99//DFjf+PeC/efb59+jxDHB6esrBwcHnXYwePXr8tKJFROqSncOYgMiEt77xc7z1tZ+tDOeNdARIIzEi4/ir/xoXB6+Qz+5z9NIvkE7vVISp0O15tilmjWsbxJtW54UOWV0IgZCqXcHBtMpS7W0knJxey8PGyeky2C7bReCuI7XW5V0RLPZi53NbE6hhu+G5xUiBF+E7ql9HSPb47+FhOCZIuCYb7TNZmrp+ZBr6UsO5Yk07tP2+VhcUOY8f5/x/f/cd/uD7j1DpGYX8YG3TfN7wdTk5PVmtl7SOM/HhQzFxGqbT5oyw7rowLoSKkhXprLUmyTKQtfJnjCX4iqIgG2T4cBBd9Qn7jIffAr2uLeI6xvUO69DWDl3prnuuc37sIIW62jwe977OYT5d760LXfNeV/nj8er/etKorW3W9aOu8B5tZWtrJ29wstvdVwnktj5tMJgy59H52VZt9EVAW3+pPkvPv0iEUGjjyWHHixjHdqgMkcAgHXJlOEIliU1DOy9+pdB5gUwSBm79ESpBlyVCSRIlKEoNwt5vjKi4ESk9Z+GZksDY2KiIiDYbngAACzxJREFUeSbc8LYGli6ur21+ahsLm9LdtazGmIahZB3fGMJ75iq3A78sy8bzbc/5POKxG87BXXPguvYNDQDx3ObruEus/0uHlagL1C0ntXWA+qOoXsZqmqsDbithrk3AdIPp4uyMMl8ghhmgWSyWTA+OUY4wlo6WBFwgcVN5r4pmJoATwHxDGyegBvkpYDQcMxqOq3Srx339XG6WbjTUx9BWzONKvbXzjEuUe3Wy5pO9rboqdFDwMG6vNnZRUElqF8l4QXNCaSMJR3ojgnY2oZBu3eFFQzhvfU3NgWMMhdHVOw857xhxco0pLqi6/3GbaaIpJHd7mITto4XAbuZUlYLyvOLWrVu899577O3tddatR48vIowxnJ6ecuvWrc+7KD169PgpRGPFrSzepvUGf8CccPcaY6rzE4z0IZiEdUCobNYCLQyCEpHsMb37p11oHQlGI43CyKZCECsv650ygmIHZTVB2eN4iyYUHFsFOVfP8Jqh8oY2wotztXKxUmaC3WW1S60l7ipCw+knuDp4gbHK2KyUsyJBHDkXkje2zgZdliQqqdsrlrO9rFz9GCl4lR8Z2DBbXu73+ottDNHWuEFmIpDTwbjdcTbvqt7BI35nHiJysRAg4pdB/Y49gSSiO8Sad9zQW4zkH//99/k//ufv8eTh+yyLRzw8/+7qQ88RvFPF3Tde/XwL0qPHc4oXwqkimAeFrKbHCqa+rXF/iJXpLaAMajrLr0FRGm4SrRzh/PoUXJZCWu4EgcqGbv3SqCzF6BKERGaqwXFoy/xSlCVKJeC9v4V3XHPhaWiu/Y21rCq6W3R34DJiYrVNdljnBduFmPNbl3dXnn7t8Z65RVE0SN/weU+WhuEX2uq1zrgXe/2Gf2uv/Hpddk86cUU0dgO3GcpkwxhY7xQOz4KK2zCsSxhruOvMpzY8NTm8Dbpesg3GvHp9W4th+Jsx1RBsvjxAmJJH9z8gESCVZO/giOl0j2Q4CshMR+/6l9zW6KEwiR3oYYmaspKsZVZRb9Pys4oxXgmovVYr0tXdb9DeaFynK+35y/XZbT72sZ+Yaq/WkC8N5GwrCBq3ZUkpdKkrgdyWzT0g6gerQRK2R6CkGGO3mmhd2DJVUqmo4piJSkIP2irqyFU7B3dZD+iOPkHrq2p6TkTlbkczB98EBq8w+PS8D3UClBj9ZGPKnyeklNy5c+fzLkaPHs8lnnvhtkePHi8cKs/Ds9NVIcy4OKXCOiJ46dDLMg0OWTRlnFo0DUlTe83HrPPyV5MAts805GWvaLrwQTIy7BvjZd72LeDrFL51TiNBI1WnDniPXKfX1hKgF7nDBKPEQ3I7PC3cu0t7+a3NW7ZqDJdupSIbwzLPSb2XLXU5vOxelTF4YZVnX6SEhvdYQqB5n4ieqdmHWmYONYxGPxDNtpARARHrRGH9G/UI6l7fXYckEaYmfY2g9fc6i/r7YlHyT3/9u8yXH4B8yHTvGo/z46q8zyN6p4oePdrxojhVeCc/qPV3A26nt/9hlSxtrK0t6fp1uWEgs0/Uk6gJ5tNo2fFrkRDWs884eaAiroVEKGVNiDKp+BPLBRnnk+fKKFVgSG1Z11qmrnVerTG6vFeFWA2FEHqzb5NuW7nauMCu9NqM2r5c/uBbH94hrIsnSEPyNva63bYNYg9fn6bntZrP1SSw/27PEqsJ6rhtQn60Nng3mcZ4CfV18oS3/xuHj9mEpySHTVWwmFlfKUQohXRgnUUgTDfe+mCFzOqmKBvB4vyMs0efMEgkIh2yf/0OKh0Sjpx6XHUXstFJRFMwFy5vCEMtBFn4Zxudz94bC2d1U7kJw4eXqN0EbDxOYeVfK6fJSqiulIpgbvChNOp2tJ/L0iClquKyYiq+uu7K/nffttWkaapDyyA8PbW6WrWdNgbhTv6thHVXB6+U1NtXgjI2x8FWMKLZio3Ha4neN0bw3TTyMeC2hjQL4UNOFPN7FE++vX3BevTo0aNHjx4/1fCeh6++dvdzLkmPHs8vnlfvw96pokePbjyPYzZGSEGF9sSQn9rKiHkpWE5EComSUApdladBKmLPVlHV7pEaYQiAkLuJixvukrE/iFa+pCtcQzOH7jL4svvf14U8uIxBrc2zdxNRG4dPCMlQf56O95yNCe2yLBucYkjOem4x9DjuIoh9e/hnuohvy5c2ifmwjPV9q8+GBK//zUZeUIQexHFZfRlDwnpb7EgO19u1QLQONo/YPdoH6G9CEDZYV57+3tAbosoXT8zWRKYQ1gfXmBJjNI8eP2Dv+IjxaMzetVuIbIgx0TYpY+KxuRahVagy3DuCsap7cK/lddsHT8ybN4hM70pRpRE9X5HFNL77MoXGpGY+TRJbSInRpipsRVrX/zgP6LqeINypulSkdzxYfVmtlSyyCgV1CQcpuPcsQOI9q6P3vm7yCQj1JuXufw9aotGMbrujEM7aZ5zlJni+gkYvHpOY8+5y9OjRo0ePHj2+UOg9D3v06MaL4n3Yo0ePFxWhd9kqafdp71oQxgAaKWzYUrRBlwVKKcuHacuLCdEkBmNir5moDd+5Nl+bivcabFwL84idMS8rpcSk7rbyTlv7xyTpOkfRMK/wfh//F9pJ7JhIDe8JOay2cob3+edij2Mfd3ib+nrCNzywLgy1u+IIG7VVVzSFuF12iTXssRU57DP43ve/z950ihDSnozq2EoVxLQAFyOjKvPqIRGefBMtXrbhvf7+8G/8u/SUq3En7lYWFIkQJY8ffozRmr3jm4gk43RRIhenSB1sjWKz+3qjnHXV7B83Dn3ze2tUmzt6lydsqyOre6A7zEaL1ct7DBuC+pnGfW1hHHzcm4om3WBR83Sp5WCd+7IxIQ3r8vJxiEVFDtchNRyJLJvvIJ5stsEmi9MmhPVdmTRXvtvPxcWck4/fbVzr0aNHjx49enxx0Xse9uixHi+C92GPHj1ebNTcSnOne83TwOWp0a48HbelNUpaTsxoe76UdBlbnkIR8jMxKdoWAmLFe5aavPAexFWdg7p7b2bjt5Zjgvq3t0FI1rZ5BofesttyIG1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"output_path": "/tmp/tmpjeqt0w59/scratch_nb.ipynb", + "output_path": "/tmp/tmpnqvo09wf/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpjeqt0w59", + "output_dir": "/tmp/tmpnqvo09wf", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:42:21.413421", + "start_time": "2023-11-06T21:28:55.977498", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/receptive_fields.ipynb b/doc_template/examples_root/examples/nb/receptive_fields.ipynb index 5c43cbef2..336c4755a 100644 --- a/doc_template/examples_root/examples/nb/receptive_fields.ipynb +++ b/doc_template/examples_root/examples/nb/receptive_fields.ipynb @@ -5,10 +5,10 @@ "id": "11de1dcd", "metadata": { "papermill": { - "duration": 0.010266, - "end_time": "2023-09-27T22:03:12.318621", + "duration": 0.004909, + "end_time": "2023-11-06T21:30:30.636345", "exception": false, - "start_time": "2023-09-27T22:03:12.308355", + "start_time": "2023-11-06T21:30:30.631436", "status": "completed" }, "tags": [] @@ -28,16 +28,16 @@ "id": "d102e84d", "metadata": { "execution": { - 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"duration": 8.6809, - "end_time": "2023-09-27T22:14:09.801293", + "duration": 3.839722, + "end_time": "2023-11-06T21:39:18.225343", "exception": false, - "start_time": "2023-09-27T22:14:01.120393", + "start_time": "2023-11-06T21:39:14.385621", "status": "completed" }, "scrolled": true, @@ -710,7 +710,7 @@ { "data": { "text/plain": [ - "['structure_1097.nrrd', 'ccf_2017', 'structure_385.nrrd']" + "['structure_385.nrrd', 'structure_1097.nrrd', 'ccf_2017']" ] }, "execution_count": 14, @@ -743,10 +743,10 @@ "id": "644b11ad", "metadata": { "papermill": { - "duration": 0.012921, - "end_time": "2023-09-27T22:14:09.824133", + "duration": 0.006089, + "end_time": "2023-11-06T21:39:18.237750", "exception": false, - "start_time": "2023-09-27T22:14:09.811212", + "start_time": "2023-11-06T21:39:18.231661", "status": "completed" }, "tags": [] @@ -760,10 +760,10 @@ "id": "494db219", "metadata": { "papermill": { - "duration": 0.008995, - "end_time": "2023-09-27T22:14:09.842007", + "duration": 0.005944, + "end_time": "2023-11-06T21:39:18.249729", "exception": false, - "start_time": "2023-09-27T22:14:09.833012", + "start_time": "2023-11-06T21:39:18.243785", "status": "completed" }, "tags": [] @@ -780,16 +780,16 @@ "id": "74718542", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:14:09.861830Z", - "iopub.status.busy": "2023-09-27T22:14:09.861414Z", - "iopub.status.idle": "2023-09-27T22:14:09.893918Z", - "shell.execute_reply": "2023-09-27T22:14:09.893009Z" + "iopub.execute_input": "2023-11-06T21:39:18.263279Z", + "iopub.status.busy": "2023-11-06T21:39:18.262788Z", + "iopub.status.idle": "2023-11-06T21:39:18.283140Z", + "shell.execute_reply": "2023-11-06T21:39:18.282343Z" }, "papermill": { - "duration": 0.045178, - "end_time": "2023-09-27T22:14:09.896266", + "duration": 0.028833, + "end_time": "2023-11-06T21:39:18.284530", "exception": false, - "start_time": "2023-09-27T22:14:09.851088", + "start_time": "2023-11-06T21:39:18.255697", "status": "completed" }, "tags": [] @@ -830,10 +830,10 @@ "id": "07992a5f", "metadata": { "papermill": { - 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"start_time": "2023-09-27T22:14:10.908661", + "start_time": "2023-11-06T21:39:18.900159", "status": "completed" }, "tags": [] @@ -963,10 +963,10 @@ "id": "f88637d9", "metadata": { "papermill": { - "duration": 0.010292, - "end_time": "2023-09-27T22:14:11.009774", + "duration": 0.006724, + "end_time": "2023-11-06T21:39:18.963316", "exception": false, - "start_time": "2023-09-27T22:14:10.999482", + "start_time": "2023-11-06T21:39:18.956592", "status": "completed" }, "tags": [] @@ -981,16 +981,16 @@ "id": "1b262a4c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:14:11.039449Z", - "iopub.status.busy": "2023-09-27T22:14:11.038822Z", - "iopub.status.idle": "2023-09-27T22:14:11.464047Z", - "shell.execute_reply": "2023-09-27T22:14:11.463041Z" + "iopub.execute_input": "2023-11-06T21:39:18.978327Z", + "iopub.status.busy": "2023-11-06T21:39:18.977812Z", + "iopub.status.idle": "2023-11-06T21:39:19.193058Z", + "shell.execute_reply": "2023-11-06T21:39:19.192324Z" }, "papermill": { - "duration": 0.445494, - "end_time": "2023-09-27T22:14:11.466157", + "duration": 0.224549, + "end_time": "2023-11-06T21:39:19.194497", "exception": false, - "start_time": "2023-09-27T22:14:11.020663", + "start_time": "2023-11-06T21:39:18.969948", "status": "completed" }, "tags": [] @@ -999,7 +999,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 18, @@ -1027,10 +1027,10 @@ "id": "4b27be9e", "metadata": { "papermill": { - "duration": 0.013891, - "end_time": "2023-09-27T22:14:11.494111", + "duration": 0.007133, + "end_time": "2023-11-06T21:39:19.209190", "exception": false, - "start_time": "2023-09-27T22:14:11.480220", + "start_time": "2023-11-06T21:39:19.202057", "status": "completed" }, "tags": [] @@ -1046,10 +1046,10 @@ "id": "f911d807", "metadata": { "papermill": { - "duration": 0.012051, - "end_time": "2023-09-27T22:14:11.523418", + "duration": 0.00684, + "end_time": "2023-11-06T21:39:19.222954", "exception": false, - "start_time": "2023-09-27T22:14:11.511367", + "start_time": "2023-11-06T21:39:19.216114", "status": "completed" }, "tags": [] @@ -1068,16 +1068,16 @@ "id": "ac4f7819", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:14:11.548451Z", - "iopub.status.busy": "2023-09-27T22:14:11.547614Z", - "iopub.status.idle": "2023-09-27T22:14:12.184651Z", - "shell.execute_reply": "2023-09-27T22:14:12.183411Z" + "iopub.execute_input": "2023-11-06T21:39:19.238455Z", + "iopub.status.busy": "2023-11-06T21:39:19.237839Z", + "iopub.status.idle": "2023-11-06T21:39:19.602965Z", + "shell.execute_reply": "2023-11-06T21:39:19.602288Z" }, "papermill": { - "duration": 0.651891, - "end_time": "2023-09-27T22:14:12.187369", + "duration": 0.374871, + "end_time": "2023-11-06T21:39:19.604659", "exception": false, - "start_time": "2023-09-27T22:14:11.535478", + "start_time": "2023-11-06T21:39:19.229788", "status": "completed" }, "tags": [] @@ -1095,10 +1095,10 @@ "id": "5b6f8c6d", "metadata": { "papermill": { - "duration": 0.014432, - "end_time": "2023-09-27T22:14:12.212910", + "duration": 0.007062, + "end_time": "2023-11-06T21:39:19.619204", "exception": false, - "start_time": "2023-09-27T22:14:12.198478", + "start_time": "2023-11-06T21:39:19.612142", "status": "completed" }, "tags": [] @@ -1128,17 +1128,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 53.820345, - "end_time": "2023-09-27T22:14:12.948572", + "duration": 28.373013, + "end_time": "2023-11-06T21:39:20.045000", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/reference_space.ipynb", - "output_path": "/tmp/tmpm0l5pifp/scratch_nb.ipynb", + "output_path": "/tmp/tmpmeev1da1/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpm0l5pifp", + "output_dir": "/tmp/tmpmeev1da1", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:13:19.128227", + "start_time": "2023-11-06T21:38:51.671987", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb index e89601616..b8c2a8bd6 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_compare_across_trial_types.ipynb @@ -5,10 +5,10 @@ "id": "182038b8", "metadata": { "papermill": { - "duration": 0.015539, - "end_time": "2023-09-27T22:19:19.803181", + "duration": 0.008879, + "end_time": "2023-11-06T21:27:45.690573", "exception": false, - "start_time": "2023-09-27T22:19:19.787642", + "start_time": "2023-11-06T21:27:45.681694", "status": "completed" }, "pycharm": { @@ -26,10 +26,10 @@ "id": "691c83eb", "metadata": { "papermill": { - "duration": 0.013801, - "end_time": "2023-09-27T22:19:19.831037", + "duration": 0.007575, + "end_time": "2023-11-06T21:27:45.705978", "exception": false, - "start_time": "2023-09-27T22:19:19.817236", + "start_time": "2023-11-06T21:27:45.698403", "status": "completed" }, "pycharm": { @@ -46,10 +46,10 @@ "id": "7856ffdc", "metadata": { "papermill": { - "duration": 0.015929, - "end_time": "2023-09-27T22:19:19.860592", + "duration": 0.007523, + "end_time": "2023-11-06T21:27:45.722183", "exception": false, - "start_time": "2023-09-27T22:19:19.844663", + "start_time": "2023-11-06T21:27:45.714660", "status": "completed" }, "pycharm": { @@ -66,10 +66,10 @@ "id": "d8f75232", "metadata": { "papermill": { - "duration": 0.012781, - "end_time": "2023-09-27T22:19:19.887285", + "duration": 0.007536, + "end_time": "2023-11-06T21:27:45.737333", "exception": false, - "start_time": "2023-09-27T22:19:19.874504", + "start_time": "2023-11-06T21:27:45.729797", "status": "completed" }, "pycharm": { @@ -87,16 +87,16 @@ "id": "59984c1f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:19.917330Z", - "iopub.status.busy": "2023-09-27T22:19:19.916826Z", - "iopub.status.idle": "2023-09-27T22:19:24.194724Z", - "shell.execute_reply": "2023-09-27T22:19:24.192888Z" + "iopub.execute_input": "2023-11-06T21:27:45.754314Z", + "iopub.status.busy": "2023-11-06T21:27:45.753835Z", + "iopub.status.idle": "2023-11-06T21:27:47.897315Z", + "shell.execute_reply": "2023-11-06T21:27:47.896541Z" }, "papermill": { - "duration": 4.296566, - "end_time": "2023-09-27T22:19:24.197655", + "duration": 2.15447, + "end_time": "2023-11-06T21:27:47.899478", "exception": false, - "start_time": "2023-09-27T22:19:19.901089", + "start_time": "2023-11-06T21:27:45.745008", "status": "completed" }, "pycharm": { @@ -110,9 +110,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -123,33 +123,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -157,14 +157,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -172,29 +172,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -207,10 +207,10 @@ "id": "53c1b26a", "metadata": { "papermill": { - "duration": 0.016632, - "end_time": "2023-09-27T22:19:24.229813", + "duration": 0.008713, + "end_time": "2023-11-06T21:27:47.917298", "exception": false, - "start_time": "2023-09-27T22:19:24.213181", + "start_time": "2023-11-06T21:27:47.908585", "status": "completed" }, "pycharm": { @@ -227,10 +227,10 @@ "id": "822342b5", "metadata": { "papermill": { - "duration": 0.014689, - "end_time": "2023-09-27T22:19:24.259635", + "duration": 0.008631, + "end_time": "2023-11-06T21:27:47.934659", "exception": false, - "start_time": "2023-09-27T22:19:24.244946", + "start_time": "2023-11-06T21:27:47.926028", "status": "completed" }, "pycharm": { @@ -251,16 +251,16 @@ "id": "3ed2ca97", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:24.293677Z", - "iopub.status.busy": "2023-09-27T22:19:24.292774Z", - "iopub.status.idle": "2023-09-27T22:19:31.350392Z", - "shell.execute_reply": "2023-09-27T22:19:31.349019Z" + "iopub.execute_input": "2023-11-06T21:27:47.953971Z", + "iopub.status.busy": "2023-11-06T21:27:47.953338Z", + "iopub.status.idle": "2023-11-06T21:27:51.877362Z", + "shell.execute_reply": "2023-11-06T21:27:51.876566Z" }, "papermill": { - "duration": 7.076496, - "end_time": "2023-09-27T22:19:31.353482", + "duration": 3.935912, + "end_time": "2023-11-06T21:27:51.879128", "exception": false, - "start_time": "2023-09-27T22:19:24.276986", + "start_time": "2023-11-06T21:27:47.943216", "status": "completed" }, "pycharm": { @@ -273,11 +273,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -288,33 +288,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -322,14 +322,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -337,29 +337,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -373,10 +373,10 @@ "id": "aa242edf", "metadata": { "papermill": { - "duration": 0.015334, - "end_time": "2023-09-27T22:19:31.387938", + "duration": 0.009142, + "end_time": "2023-11-06T21:27:51.898063", "exception": false, - "start_time": "2023-09-27T22:19:31.372604", + "start_time": "2023-11-06T21:27:51.888921", "status": "completed" }, "pycharm": { @@ -394,16 +394,16 @@ "id": "d9dcf57c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:31.423129Z", - "iopub.status.busy": "2023-09-27T22:19:31.422730Z", - "iopub.status.idle": "2023-09-27T22:19:42.011733Z", - "shell.execute_reply": "2023-09-27T22:19:42.010598Z" + "iopub.execute_input": "2023-11-06T21:27:51.918288Z", + "iopub.status.busy": "2023-11-06T21:27:51.917722Z", + "iopub.status.idle": "2023-11-06T21:27:57.011012Z", + "shell.execute_reply": "2023-11-06T21:27:57.010333Z" }, "papermill": { - "duration": 10.610057, - "end_time": "2023-09-27T22:19:42.014087", + "duration": 5.105283, + "end_time": "2023-11-06T21:27:57.012412", "exception": false, - "start_time": "2023-09-27T22:19:31.404030", + "start_time": "2023-11-06T21:27:51.907129", "status": "completed" }, "pycharm": { @@ -448,16 +448,16 @@ "id": "96901062", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:42.049708Z", - "iopub.status.busy": "2023-09-27T22:19:42.048739Z", - "iopub.status.idle": "2023-09-27T22:19:42.071159Z", - "shell.execute_reply": "2023-09-27T22:19:42.069853Z" + "iopub.execute_input": "2023-11-06T21:27:57.033148Z", + "iopub.status.busy": "2023-11-06T21:27:57.032476Z", + "iopub.status.idle": "2023-11-06T21:27:57.042304Z", + "shell.execute_reply": "2023-11-06T21:27:57.041738Z" }, "papermill": { - "duration": 0.04279, - "end_time": "2023-09-27T22:19:42.074190", + "duration": 0.021704, + "end_time": "2023-11-06T21:27:57.043777", "exception": false, - "start_time": "2023-09-27T22:19:42.031400", + "start_time": "2023-11-06T21:27:57.022073", "status": "completed" }, "pycharm": { @@ -475,10 +475,10 @@ "id": "069f6fd6", "metadata": { "papermill": { - "duration": 0.01495, - "end_time": "2023-09-27T22:19:42.105240", + "duration": 0.00976, + "end_time": "2023-11-06T21:27:57.063338", "exception": false, - "start_time": "2023-09-27T22:19:42.090290", + "start_time": "2023-11-06T21:27:57.053578", "status": "completed" }, "pycharm": { @@ -496,16 +496,16 @@ "id": "f373c7d4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:42.142047Z", - "iopub.status.busy": "2023-09-27T22:19:42.140742Z", - "iopub.status.idle": "2023-09-27T22:19:42.150637Z", - "shell.execute_reply": "2023-09-27T22:19:42.149564Z" + "iopub.execute_input": "2023-11-06T21:27:57.084276Z", + "iopub.status.busy": "2023-11-06T21:27:57.083751Z", + "iopub.status.idle": "2023-11-06T21:27:57.089893Z", + "shell.execute_reply": "2023-11-06T21:27:57.089145Z" }, "papermill": { - "duration": 0.031554, - "end_time": "2023-09-27T22:19:42.153667", + "duration": 0.018278, + "end_time": "2023-11-06T21:27:57.091285", "exception": false, - "start_time": "2023-09-27T22:19:42.122113", + "start_time": "2023-11-06T21:27:57.073007", "status": "completed" }, "pycharm": { @@ -518,7 +518,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4173/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + "/tmp/ipykernel_2981/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", " from IPython.core.display import display, HTML\n" ] }, @@ -546,16 +546,16 @@ "id": "669d43ec", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:42.191118Z", - "iopub.status.busy": "2023-09-27T22:19:42.190478Z", - "iopub.status.idle": "2023-09-27T22:19:42.195627Z", - "shell.execute_reply": "2023-09-27T22:19:42.194381Z" + "iopub.execute_input": "2023-11-06T21:27:57.111764Z", + "iopub.status.busy": "2023-11-06T21:27:57.111272Z", + "iopub.status.idle": "2023-11-06T21:27:57.114540Z", + "shell.execute_reply": "2023-11-06T21:27:57.113889Z" }, "papermill": { - "duration": 0.026125, - "end_time": "2023-09-27T22:19:42.197821", + "duration": 0.015023, + "end_time": "2023-11-06T21:27:57.115944", "exception": false, - "start_time": "2023-09-27T22:19:42.171696", + "start_time": "2023-11-06T21:27:57.100921", "status": "completed" }, "pycharm": { @@ -576,16 +576,16 @@ "id": "f9fb73be", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:42.284461Z", - "iopub.status.busy": "2023-09-27T22:19:42.283675Z", - "iopub.status.idle": "2023-09-27T22:19:45.553056Z", - "shell.execute_reply": "2023-09-27T22:19:45.552077Z" + "iopub.execute_input": "2023-11-06T21:27:57.161094Z", + "iopub.status.busy": "2023-11-06T21:27:57.160611Z", + "iopub.status.idle": "2023-11-06T21:27:59.915746Z", + "shell.execute_reply": "2023-11-06T21:27:59.915047Z" }, "papermill": { - "duration": 3.291161, - "end_time": "2023-09-27T22:19:45.555370", + "duration": 2.767399, + "end_time": "2023-11-06T21:27:59.917273", "exception": false, - "start_time": "2023-09-27T22:19:42.264209", + "start_time": "2023-11-06T21:27:57.149874", "status": "completed" }, "pycharm": { @@ -598,7 +598,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", "\n", @@ -606,14 +606,20 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpjoj75qt2/_downloaded_data.json\n", + "/tmp/tmpr5wa8tdg/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.13MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 8.07MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.79MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 6.16MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 247k/247k [00:00<00:00, 1.96MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.59M/1.59M [00:00<00:00, 7.57MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 657k/657k [00:00<00:00, 4.36MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.28M/4.28M [00:00<00:00, 8.66MMB/s]\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py:135: UpdatedStimulusPresentationTableWarning: \n", + "\tAs of AllenSDK version 2.16.0, the latest Visual Behavior Ophys data has been significantly updated from previous releases. Specifically the user will need to update all processing of the stimulus_presentations tables. These tables now include multiple stimulus types delineated by the columns `stimulus_block` and `stimulus_block_name`.\n", + "\n", + "The data that was available in previous releases are stored in the block name containing 'change_detection' and can be accessed in the pandas table by using: \n", + "\t`stimulus_presentations[stimulus_presentations.stimulus_block_name.str.contains('change_detection')]`\n", + " warnings.warn(\n" ] } ], @@ -628,10 +634,10 @@ "id": "455d84bf", "metadata": { "papermill": { - "duration": 0.017622, - "end_time": "2023-09-27T22:19:45.591637", + "duration": 0.010318, + "end_time": "2023-11-06T21:27:59.938599", "exception": false, - "start_time": "2023-09-27T22:19:45.574015", + "start_time": "2023-11-06T21:27:59.928281", "status": "completed" }, "pycharm": { @@ -649,16 +655,16 @@ "id": "0488c899", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:45.630704Z", - "iopub.status.busy": "2023-09-27T22:19:45.630265Z", - "iopub.status.idle": "2023-09-27T22:19:45.670781Z", - "shell.execute_reply": "2023-09-27T22:19:45.669546Z" + "iopub.execute_input": "2023-11-06T21:27:59.960984Z", + "iopub.status.busy": "2023-11-06T21:27:59.960375Z", + "iopub.status.idle": "2023-11-06T21:27:59.982105Z", + "shell.execute_reply": "2023-11-06T21:27:59.981388Z" }, "papermill": { - "duration": 0.064619, - "end_time": "2023-09-27T22:19:45.674238", + "duration": 0.034612, + "end_time": "2023-11-06T21:27:59.983566", "exception": false, - "start_time": "2023-09-27T22:19:45.609619", + "start_time": "2023-11-06T21:27:59.948954", "status": "completed" }, "pycharm": { @@ -688,30 +694,35 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", + " imaging_depth\n", + " targeted_structure\n", + " targeted_imaging_depth\n", + " imaging_plane_group\n", + " project_code\n", + " session_type\n", " session_number\n", + " image_set\n", + " behavior_type\n", + " passive\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " behavior_session_id\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", " date_of_acquisition\n", - " session_type\n", - " experience_level\n", - " passive\n", - " image_set\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -741,257 +752,295 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 917820358\n", - " MESO.1\n", + " 1057725798\n", + " 1056253022\n", + " 1056238781\n", + " 1052096554\n", + " 528097\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 453990\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 178.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", - " 2\n", - " 0.0\n", - " 47\n", - " 2.0\n", - " 917498735\n", - " 917595407\n", - " 1018028172\n", - " VisualBehaviorMultiscope\n", - " 223\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 188\n", + " 158\n", " VISp\n", - " 2019-08-05 13:38:55+00:00\n", - " OPHYS_2_images_A_passive\n", - " Familiar\n", - " True\n", - " A\n", - " 1085400850\n", + " 152\n", + " 0\n", + " VisualBehaviorMultiscope\n", + " OPHYS_6_images_B\n", + " 6\n", + " B\n", + " active_behavior\n", + " False\n", + " Novel >1\n", + " 0\n", + " 7\n", + " 10\n", + " 2020-10-13 10:09:00.366000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 1031852674\n", + " 1932\n", " \n", " \n", - " 914062456\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 462544\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 129.0\n", - " Slc17a7-IRES2-Cre\n", + " 891108758\n", + " 890157940\n", + " 889944877\n", + " 1018028370\n", + " 435431\n", " GCaMP6f\n", - " 3\n", - " 1.0\n", - " 15\n", - " 3.0\n", - " 913834848\n", - " 913901536\n", - " 906963896\n", - " VisualBehaviorTask1B\n", - " 375\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Vip-IRES-Cre]\n", + " Vip-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 215\n", + " 217\n", " VISp\n", - " 2019-07-29 20:06:21+00:00\n", - " OPHYS_3_images_B\n", - " Familiar\n", - " False\n", + " 220\n", + " 0\n", + " VisualBehaviorMultiscope\n", + " OPHYS_5_images_B_passive\n", + " 5\n", " B\n", - " 915227797\n", + " passive_viewing\n", + " True\n", + " Novel >1\n", + " 1\n", + " 6\n", + " 10\n", + " 2019-06-19 10:45:53.800000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 815343876\n", + " 887\n", " \n", " \n", - " 882935355\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G...\n", - " 449441\n", - " Ai94(TITL-GCaMP6s)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " 891108773\n", + " 890157940\n", + " 889944877\n", + " 1018028377\n", + " 435431\n", + " GCaMP6f\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Vip-IRES-Cre]\n", + " Vip-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " M\n", - " 138.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6s\n", - " 6\n", - " 1.0\n", + " 215\n", + " 75\n", + " VISl\n", + " 75\n", " 3\n", - " 8.0\n", - " 882620042\n", - " 882669474\n", - " 876693090\n", - " VisualBehavior\n", - " 175\n", - " VISp\n", - " 2019-06-07 15:02:48+00:00\n", - " OPHYS_6_images_B\n", - " Novel >1\n", - " False\n", + " VisualBehaviorMultiscope\n", + " OPHYS_5_images_B_passive\n", + " 5\n", " B\n", - " 883031631\n", + " passive_viewing\n", + " True\n", + " Novel >1\n", + " 1\n", + " 6\n", + " 10\n", + " 2019-06-19 10:45:53.800000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 815343876\n", + " 893\n", " \n", " \n", - " 887386974\n", - " MESO.1\n", + " 1088351100\n", + " 1088263239\n", + " 1088247037\n", + " 1086191444\n", + " 550603\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 435431\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 210.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", - " 4\n", - " 2.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 189\n", + " 160\n", + " VISl\n", + " 155\n", + " 1\n", + " VisualBehaviorMultiscope4areasx2d\n", + " OPHYS_2_images_G_passive\n", + " 2\n", + " G\n", + " passive_viewing\n", + " True\n", + " Familiar\n", + " 0\n", + " 26\n", " 4\n", - " 7.0\n", - " 886806800\n", - " 886926935\n", - " 1018028370\n", - " VisualBehaviorMultiscope\n", - " 215\n", - " VISp\n", - " 2019-06-14 09:46:08+00:00\n", - " OPHYS_4_images_B\n", - " Novel >1\n", - " False\n", - " B\n", - " 1085673886\n", + " 2021-03-05 13:19:43.064000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 1064781085\n", + " 1740\n", " \n", " \n", - " 966323525\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 481295\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 111.0\n", - " Slc17a7-IRES2-Cre\n", + " 975608392\n", + " 975498864\n", + " 975452945\n", + " 1018028199\n", + " 482853\n", " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Sst-IRES-Cre]\n", + " Sst-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 124\n", + " 150\n", + " VISp\n", + " 146\n", " 1\n", - " 0.0\n", - " 9\n", - " 0.0\n", - " 965319228\n", - " 965524692\n", - " 1018027954\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 173\n", - " VISam\n", - " 2019-10-11 08:14:27+00:00\n", - " OPHYS_1_images_G\n", - " Familiar\n", + " VisualBehaviorMultiscope\n", + " OPHYS_1_images_A\n", + " 1\n", + " A\n", + " active_behavior\n", " False\n", - " G\n", - " 1120140483\n", + " Familiar\n", + " 0\n", + " 25\n", + " 0\n", + " 2019-11-01 14:53:10.259000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 937755139\n", + " 1450\n", " \n", " \n", "\n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "917820358 MESO.1 \n", - "914062456 CAM2P.3 \n", - "882935355 CAM2P.3 \n", - "887386974 MESO.1 \n", - "966323525 MESO.1 \n", - "\n", - " full_genotype \\\n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "1057725798 1056253022 1056238781 \n", + "891108758 890157940 889944877 \n", + "891108773 890157940 889944877 \n", + "1088351100 1088263239 1088247037 \n", + "975608392 975498864 975452945 \n", + "\n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "1057725798 1052096554 528097 GCaMP6f \n", + "891108758 1018028370 435431 GCaMP6f \n", + "891108773 1018028377 435431 GCaMP6f \n", + "1088351100 1086191444 550603 GCaMP6f \n", + "975608392 1018028199 482853 GCaMP6f \n", + "\n", + " full_genotype \\\n", + "ophys_experiment_id \n", + "1057725798 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "891108758 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "891108773 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1088351100 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "975608392 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "\n", + " driver_line cre_line reporter_line \\\n", + "ophys_experiment_id \n", + "1057725798 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "891108758 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "891108773 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "1088351100 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "975608392 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "\n", + " sex age_in_days imaging_depth targeted_structure \\\n", "ophys_experiment_id \n", - "917820358 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "914062456 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "882935355 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", - "887386974 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "966323525 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "ophys_experiment_id \n", - "917820358 453990 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "914062456 462544 Ai93(TITL-GCaMP6f) \n", - "882935355 449441 Ai94(TITL-GCaMP6s) \n", - "887386974 435431 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "966323525 481295 Ai93(TITL-GCaMP6f) \n", - "\n", - " driver_line sex age_in_days \\\n", - "ophys_experiment_id \n", - "917820358 [Vip-IRES-Cre] M 178.0 \n", - "914062456 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 129.0 \n", - "882935355 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 138.0 \n", - "887386974 [Vip-IRES-Cre] M 210.0 \n", - "966323525 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 111.0 \n", - "\n", - " cre_line indicator session_number \\\n", + "1057725798 F 188 158 VISp \n", + "891108758 M 215 217 VISp \n", + "891108773 M 215 75 VISl \n", + "1088351100 F 189 160 VISl \n", + "975608392 M 124 150 VISp \n", + "\n", + " targeted_imaging_depth imaging_plane_group \\\n", "ophys_experiment_id \n", - "917820358 Vip-IRES-Cre GCaMP6f 2 \n", - "914062456 Slc17a7-IRES2-Cre GCaMP6f 3 \n", - "882935355 Slc17a7-IRES2-Cre GCaMP6s 6 \n", - "887386974 Vip-IRES-Cre GCaMP6f 4 \n", - "966323525 Slc17a7-IRES2-Cre GCaMP6f 1 \n", + "1057725798 152 0 \n", + "891108758 220 0 \n", + "891108773 75 3 \n", + "1088351100 155 1 \n", + "975608392 146 1 \n", + "\n", + " project_code \\\n", + "ophys_experiment_id \n", + "1057725798 VisualBehaviorMultiscope \n", + "891108758 VisualBehaviorMultiscope \n", + "891108773 VisualBehaviorMultiscope \n", + "1088351100 VisualBehaviorMultiscope4areasx2d \n", + "975608392 VisualBehaviorMultiscope \n", + "\n", + " session_type session_number image_set \\\n", + "ophys_experiment_id \n", + "1057725798 OPHYS_6_images_B 6 B \n", + "891108758 OPHYS_5_images_B_passive 5 B \n", + "891108773 OPHYS_5_images_B_passive 5 B \n", + "1088351100 OPHYS_2_images_G_passive 2 G \n", + "975608392 OPHYS_1_images_A 1 A \n", + "\n", + " behavior_type passive experience_level \\\n", + "ophys_experiment_id \n", + "1057725798 active_behavior False Novel >1 \n", + "891108758 passive_viewing True Novel >1 \n", + "891108773 passive_viewing True Novel >1 \n", + "1088351100 passive_viewing True Familiar \n", + "975608392 active_behavior False Familiar \n", "\n", " prior_exposures_to_session_type \\\n", "ophys_experiment_id \n", - "917820358 0.0 \n", - "914062456 1.0 \n", - "882935355 1.0 \n", - "887386974 2.0 \n", - "966323525 0.0 \n", + "1057725798 0 \n", + "891108758 1 \n", + "891108773 1 \n", + "1088351100 0 \n", + "975608392 0 \n", "\n", " prior_exposures_to_image_set \\\n", "ophys_experiment_id \n", - "917820358 47 \n", - "914062456 15 \n", - "882935355 3 \n", - "887386974 4 \n", - "966323525 9 \n", + "1057725798 7 \n", + "891108758 6 \n", + "891108773 6 \n", + "1088351100 26 \n", + "975608392 25 \n", "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", - "ophys_experiment_id \n", - "917820358 2.0 917498735 \n", - "914062456 3.0 913834848 \n", - "882935355 8.0 882620042 \n", - "887386974 7.0 886806800 \n", - "966323525 0.0 965319228 \n", - "\n", - " behavior_session_id ophys_container_id \\\n", - "ophys_experiment_id \n", - "917820358 917595407 1018028172 \n", - "914062456 913901536 906963896 \n", - "882935355 882669474 876693090 \n", - "887386974 886926935 1018028370 \n", - "966323525 965524692 1018027954 \n", - "\n", - " project_code imaging_depth \\\n", - "ophys_experiment_id \n", - "917820358 VisualBehaviorMultiscope 223 \n", - "914062456 VisualBehaviorTask1B 375 \n", - "882935355 VisualBehavior 175 \n", - "887386974 VisualBehaviorMultiscope 215 \n", - "966323525 VisualBehaviorMultiscope4areasx2d 173 \n", - "\n", - " targeted_structure date_of_acquisition \\\n", - "ophys_experiment_id \n", - "917820358 VISp 2019-08-05 13:38:55+00:00 \n", - "914062456 VISp 2019-07-29 20:06:21+00:00 \n", - "882935355 VISp 2019-06-07 15:02:48+00:00 \n", - "887386974 VISp 2019-06-14 09:46:08+00:00 \n", - "966323525 VISam 2019-10-11 08:14:27+00:00 \n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "1057725798 10 \n", + "891108758 10 \n", + "891108773 10 \n", + "1088351100 4 \n", + "975608392 0 \n", "\n", - " session_type experience_level passive \\\n", - "ophys_experiment_id \n", - "917820358 OPHYS_2_images_A_passive Familiar True \n", - "914062456 OPHYS_3_images_B Familiar False \n", - "882935355 OPHYS_6_images_B Novel >1 False \n", - "887386974 OPHYS_4_images_B Novel >1 False \n", - "966323525 OPHYS_1_images_G Familiar False \n", - "\n", - " image_set file_id \n", - "ophys_experiment_id \n", - "917820358 A 1085400850 \n", - "914062456 B 915227797 \n", - "882935355 B 883031631 \n", - "887386974 B 1085673886 \n", - "966323525 G 1120140483 " + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "1057725798 2020-10-13 10:09:00.366000+00:00 MESO.1 \n", + "891108758 2019-06-19 10:45:53.800000+00:00 MESO.1 \n", + "891108773 2019-06-19 10:45:53.800000+00:00 MESO.1 \n", + "1088351100 2021-03-05 13:19:43.064000+00:00 MESO.1 \n", + "975608392 2019-11-01 14:53:10.259000+00:00 MESO.1 \n", + "\n", + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "1057725798 2021-03-25 1031852674 1932 \n", + "891108758 2021-03-25 815343876 887 \n", + "891108773 2021-03-25 815343876 893 \n", + "1088351100 2021-08-12 1064781085 1740 \n", + "975608392 2021-03-25 937755139 1450 " ] }, "execution_count": 9, @@ -1008,10 +1057,10 @@ "id": "aa293b19", "metadata": { "papermill": { - "duration": 0.018734, - "end_time": "2023-09-27T22:19:45.710752", + "duration": 0.01127, + "end_time": "2023-11-06T21:28:00.005908", "exception": false, - "start_time": "2023-09-27T22:19:45.692018", + "start_time": "2023-11-06T21:27:59.994638", "status": "completed" }, "pycharm": { @@ -1029,16 +1078,16 @@ "id": "eb1fc19f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:45.750688Z", - "iopub.status.busy": "2023-09-27T22:19:45.749759Z", - "iopub.status.idle": "2023-09-27T22:19:45.757877Z", - "shell.execute_reply": "2023-09-27T22:19:45.756809Z" + "iopub.execute_input": "2023-11-06T21:28:00.029758Z", + "iopub.status.busy": "2023-11-06T21:28:00.029115Z", + "iopub.status.idle": "2023-11-06T21:28:00.034768Z", + "shell.execute_reply": "2023-11-06T21:28:00.034183Z" }, "papermill": { - "duration": 0.0313, - "end_time": "2023-09-27T22:19:45.760213", + "duration": 0.019078, + "end_time": "2023-11-06T21:28:00.036272", "exception": false, - "start_time": "2023-09-27T22:19:45.728913", + "start_time": "2023-11-06T21:28:00.017194", "status": "completed" }, "pycharm": { @@ -1074,10 +1123,10 @@ "id": "06bd30b5", "metadata": { "papermill": { - "duration": 0.01931, - "end_time": "2023-09-27T22:19:45.799533", + "duration": 0.011689, + "end_time": "2023-11-06T21:28:00.059671", "exception": false, - "start_time": "2023-09-27T22:19:45.780223", + "start_time": "2023-11-06T21:28:00.047982", "status": "completed" }, "pycharm": { @@ -1095,16 +1144,16 @@ "id": "6dd7bf29", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:45.841757Z", - "iopub.status.busy": "2023-09-27T22:19:45.840829Z", - "iopub.status.idle": "2023-09-27T22:21:43.157120Z", - "shell.execute_reply": "2023-09-27T22:21:43.156038Z" + "iopub.execute_input": "2023-11-06T21:28:00.083428Z", + "iopub.status.busy": "2023-11-06T21:28:00.082792Z", + "iopub.status.idle": "2023-11-06T21:28:30.499367Z", + "shell.execute_reply": "2023-11-06T21:28:30.498673Z" }, "papermill": { - "duration": 117.342061, - "end_time": "2023-09-27T22:21:43.159981", + "duration": 30.430132, + "end_time": "2023-11-06T21:28:30.501102", "exception": false, - "start_time": "2023-09-27T22:19:45.817920", + "start_time": "2023-11-06T21:28:00.070970", "status": "completed" }, "pycharm": { @@ -1118,18 +1167,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "getting experiment data for experiment_id 946476556\n" + "getting experiment data for experiment_id 1085840400\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_946476556.nwb: 100%|██████████| 1.80G/1.80G [01:45<00:00, 17.1MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_ophys_experiment_1085840400.nwb: 100%|██████████| 503M/503M [00:25<00:00, 19.8MMB/s]\n" ] } ], @@ -1144,10 +1189,10 @@ "id": "b02b5e7e", "metadata": { "papermill": { - "duration": 0.062259, - "end_time": "2023-09-27T22:21:43.284348", + "duration": 0.016862, + "end_time": "2023-11-06T21:28:30.534948", "exception": false, - "start_time": "2023-09-27T22:21:43.222089", + "start_time": "2023-11-06T21:28:30.518086", "status": "completed" }, "pycharm": { @@ -1167,16 +1212,16 @@ "id": "a61264da", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:43.408864Z", - "iopub.status.busy": "2023-09-27T22:21:43.408074Z", - "iopub.status.idle": "2023-09-27T22:21:44.666085Z", - "shell.execute_reply": "2023-09-27T22:21:44.665019Z" + "iopub.execute_input": "2023-11-06T21:28:30.568644Z", + "iopub.status.busy": "2023-11-06T21:28:30.568376Z", + "iopub.status.idle": "2023-11-06T21:28:31.179824Z", + "shell.execute_reply": "2023-11-06T21:28:31.179054Z" }, "papermill": { - "duration": 1.319423, - "end_time": "2023-09-27T22:21:44.668685", + "duration": 0.630112, + "end_time": "2023-11-06T21:28:31.181238", "exception": false, - "start_time": "2023-09-27T22:21:43.349262", + "start_time": "2023-11-06T21:28:30.551126", "status": "completed" }, "pycharm": { @@ -1188,29 +1233,29 @@ { "data": { "text/plain": [ - "{'trial_count': 489,\n", - " 'go_trial_count': 325,\n", + "{'trial_count': 454,\n", + " 'go_trial_count': 334,\n", " 'catch_trial_count': 48,\n", - " 'hit_trial_count': 11,\n", - " 'miss_trial_count': 314,\n", - " 'false_alarm_trial_count': 4,\n", - " 'correct_reject_trial_count': 44,\n", + " 'hit_trial_count': 33,\n", + " 'miss_trial_count': 301,\n", + " 'false_alarm_trial_count': 1,\n", + " 'correct_reject_trial_count': 47,\n", " 'auto_reward_count': 5,\n", - " 'earned_reward_count': 11,\n", - " 'total_reward_count': 16,\n", - " 'total_reward_volume': 0.10200000000000001,\n", - " 'maximum_reward_rate': 3.606067930506664,\n", - " 'engaged_trial_count': 82,\n", - " 'mean_hit_rate': 0.09107934458687789,\n", - " 'mean_hit_rate_uncorrected': 0.09030062323224546,\n", - " 'mean_hit_rate_engaged': 0.7413614163614164,\n", - " 'mean_false_alarm_rate': 0.1831974556974557,\n", - " 'mean_false_alarm_rate_uncorrected': 0.16967797967797968,\n", - " 'mean_false_alarm_rate_engaged': 0.6666666666666667,\n", - " 'mean_dprime': -0.6280628929364763,\n", - " 'mean_dprime_engaged': 0.3837839767679964,\n", - " 'max_dprime': 0.967421566101701,\n", - " 'max_dprime_engaged': 0.967421566101701}" + " 'earned_reward_count': 33,\n", + " 'total_reward_count': 38,\n", + " 'total_reward_volume': 0.256,\n", + " 'maximum_reward_rate': 2.860105184605357,\n", + " 'engaged_trial_count': 68,\n", + " 'mean_hit_rate': 0.12196894640281876,\n", + " 'mean_hit_rate_uncorrected': 0.1148300747554362,\n", + " 'mean_hit_rate_engaged': 0.2722870777110328,\n", + " 'mean_false_alarm_rate': 0.07059889644968179,\n", + " 'mean_false_alarm_rate_uncorrected': 0.020957227763510482,\n", + " 'mean_false_alarm_rate_engaged': 0.05736544779097969,\n", + " 'mean_dprime': 0.019241657181077048,\n", + " 'mean_dprime_engaged': 0.9736703202887197,\n", + " 'max_dprime': 1.321681073934908,\n", + " 'max_dprime_engaged': 1.3119564166604674}" ] }, "execution_count": 12, @@ -1227,10 +1272,10 @@ "id": "8745a592", "metadata": { "papermill": { - "duration": 0.064608, - "end_time": "2023-09-27T22:21:44.798779", + "duration": 0.25526, + "end_time": "2023-11-06T21:28:31.479400", "exception": false, - "start_time": "2023-09-27T22:21:44.734171", + "start_time": "2023-11-06T21:28:31.224140", "status": "completed" }, "pycharm": { @@ -1248,16 +1293,16 @@ "id": "1cefa6d3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:44.951390Z", - "iopub.status.busy": "2023-09-27T22:21:44.950629Z", - "iopub.status.idle": "2023-09-27T22:21:45.647936Z", - "shell.execute_reply": "2023-09-27T22:21:45.646631Z" + "iopub.execute_input": "2023-11-06T21:28:31.591637Z", + "iopub.status.busy": "2023-11-06T21:28:31.591345Z", + "iopub.status.idle": "2023-11-06T21:28:31.893039Z", + "shell.execute_reply": "2023-11-06T21:28:31.892361Z" }, "papermill": { - "duration": 0.768681, - "end_time": "2023-09-27T22:21:45.650519", + "duration": 0.321689, + "end_time": "2023-11-06T21:28:31.894808", "exception": false, - "start_time": "2023-09-27T22:21:44.881838", + "start_time": "2023-11-06T21:28:31.573119", "status": "completed" }, "pycharm": { @@ -1280,16 +1325,16 @@ "id": "a78f1aee", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:45.787113Z", - "iopub.status.busy": "2023-09-27T22:21:45.786392Z", - "iopub.status.idle": "2023-09-27T22:21:45.824579Z", - "shell.execute_reply": "2023-09-27T22:21:45.823469Z" + "iopub.execute_input": "2023-11-06T21:28:31.931493Z", + "iopub.status.busy": "2023-11-06T21:28:31.930678Z", + "iopub.status.idle": "2023-11-06T21:28:31.951588Z", + "shell.execute_reply": "2023-11-06T21:28:31.950894Z" }, "papermill": { - "duration": 0.112068, - "end_time": "2023-09-27T22:21:45.826995", + "duration": 0.040497, + "end_time": "2023-11-06T21:28:31.952923", "exception": false, - "start_time": "2023-09-27T22:21:45.714927", + "start_time": "2023-11-06T21:28:31.912426", "status": "completed" }, "pycharm": { @@ -1321,25 +1366,25 @@ " \n", " start_time\n", " stop_time\n", + " initial_image_name\n", + " change_image_name\n", + " is_change\n", + " change_time\n", + " go\n", + " catch\n", " lick_times\n", + " response_time\n", + " response_latency\n", " reward_time\n", " reward_volume\n", " hit\n", " false_alarm\n", " miss\n", - " is_change\n", + " correct_reject\n", " aborted\n", - " go\n", - " catch\n", " auto_rewarded\n", - " correct_reject\n", - " trial_length\n", - " response_time\n", " change_frame\n", - " change_time\n", - " response_latency\n", - " initial_image_name\n", - " change_image_name\n", + " trial_length\n", " reward_rate\n", " hit_rate_raw\n", " hit_rate\n", @@ -1381,27 +1426,27 @@ " \n", " \n", " 0\n", - " 305.97088\n", - " 313.22681\n", - " [309.5071, 309.77427, 309.94106, 310.1246, 310...\n", - " 309.12347\n", - " 0.005\n", + " 308.98272\n", + " 316.25530\n", + " im065\n", + " im077\n", + " True\n", + " 312.021593\n", " False\n", " False\n", + " [312.48555, 312.73578, 312.90259, 313.05271, 3...\n", + " 312.48555\n", + " 0.463957\n", + " 312.15197\n", + " 0.005\n", " False\n", - " True\n", " False\n", " False\n", " False\n", - " True\n", " False\n", - " 7.25593\n", - " 309.5071\n", - " 18165\n", - " 308.994843\n", - " 0.512257\n", - " im065\n", - " im077\n", + " True\n", + " 18166\n", + " 7.27258\n", " NaN\n", " NaN\n", " NaN\n", @@ -1411,27 +1456,27 @@ " \n", " \n", " 1\n", - " 313.47703\n", - " 314.66132\n", - " [313.59405, 313.77752, 313.96101, 314.14447, 3...\n", - " NaN\n", - " 0.000\n", + " 316.48885\n", + " 316.85579\n", + " im077\n", + " im077\n", " False\n", + " NaN\n", " False\n", " False\n", + " [316.5389]\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000\n", " False\n", - " True\n", " False\n", " False\n", " False\n", + " True\n", " False\n", - " 1.18429\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im077\n", - " im077\n", + " 0.36694\n", " NaN\n", " NaN\n", " NaN\n", @@ -1441,27 +1486,27 @@ " \n", " \n", " 2\n", - " 314.97825\n", - " 316.36271\n", - " [315.11169, 315.29514, 315.46196, 315.66213, 3...\n", - " NaN\n", - " 0.000\n", + " 317.23947\n", + " 318.17356\n", + " im077\n", + " im077\n", " False\n", + " NaN\n", " False\n", " False\n", + " [317.87332]\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000\n", " False\n", - " True\n", " False\n", " False\n", " False\n", + " True\n", " False\n", - " 1.38446\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im077\n", - " im077\n", + " 0.93409\n", " NaN\n", " NaN\n", " NaN\n", @@ -1471,27 +1516,27 @@ " \n", " \n", " 3\n", - " 316.47944\n", - " 317.46361\n", - " [316.69632, 316.9632, 317.14669, 317.56369]\n", - " NaN\n", - " 0.000\n", - " False\n", + " 318.74067\n", + " 328.26515\n", + " im077\n", + " im061\n", + " True\n", + " 324.031413\n", " False\n", " False\n", + " [324.42868, 324.56211, 324.69556, 324.84573, 3...\n", + " 324.42868\n", + " 0.397267\n", + " 324.14511\n", + " 0.005\n", " False\n", - " True\n", " False\n", " False\n", " False\n", " False\n", - " 0.98417\n", - " NaN\n", - " -99\n", - " NaN\n", - " NaN\n", - " im077\n", - " im077\n", + " True\n", + " 18886\n", + " 9.52448\n", " NaN\n", " NaN\n", " NaN\n", @@ -1501,27 +1546,27 @@ " \n", " \n", " 4\n", - " 317.98101\n", - " 319.91561\n", - " [318.28122, 318.49814, 318.69795, 318.86475, 3...\n", - " NaN\n", - " 0.000\n", - " False\n", + " 328.49870\n", + " 337.30587\n", + " im061\n", + " im077\n", + " True\n", + " 333.055463\n", " False\n", " False\n", + " [333.48607, 333.73628, 333.90307, 334.05318, 3...\n", + " 333.48607\n", + " 0.430607\n", + " 333.18583\n", + " 0.005\n", " False\n", - " True\n", " False\n", " False\n", " False\n", " False\n", - " 1.93460\n", - " NaN\n", - " -99\n", - " NaN\n", - " NaN\n", - " im077\n", - " im077\n", + " True\n", + " 19427\n", + " 8.80717\n", " NaN\n", " NaN\n", " NaN\n", @@ -1534,61 +1579,61 @@ "" ], "text/plain": [ - " start_time stop_time \\\n", - "trials_id \n", - "0 305.97088 313.22681 \n", - "1 313.47703 314.66132 \n", - "2 314.97825 316.36271 \n", - "3 316.47944 317.46361 \n", - "4 317.98101 319.91561 \n", - "\n", - " lick_times reward_time \\\n", - "trials_id \n", - "0 [309.5071, 309.77427, 309.94106, 310.1246, 310... 309.12347 \n", - "1 [313.59405, 313.77752, 313.96101, 314.14447, 3... NaN \n", - "2 [315.11169, 315.29514, 315.46196, 315.66213, 3... NaN \n", - "3 [316.69632, 316.9632, 317.14669, 317.56369] NaN \n", - "4 [318.28122, 318.49814, 318.69795, 318.86475, 3... NaN \n", - "\n", - " reward_volume hit false_alarm miss is_change aborted \\\n", - "trials_id \n", - "0 0.005 False False False True False \n", - "1 0.000 False False False False True \n", - "2 0.000 False False False False True \n", - "3 0.000 False False False False True \n", - "4 0.000 False False False False True \n", - "\n", - " go catch auto_rewarded correct_reject trial_length \\\n", - "trials_id \n", - "0 False False True False 7.25593 \n", - "1 False False False False 1.18429 \n", - "2 False False False False 1.38446 \n", - "3 False False False False 0.98417 \n", - "4 False False False False 1.93460 \n", - "\n", - " response_time change_frame change_time response_latency \\\n", + " start_time stop_time initial_image_name change_image_name \\\n", "trials_id \n", - "0 309.5071 18165 308.994843 0.512257 \n", - "1 NaN -99 NaN NaN \n", - "2 NaN -99 NaN NaN \n", - "3 NaN -99 NaN NaN \n", - "4 NaN -99 NaN NaN \n", - "\n", - " initial_image_name change_image_name reward_rate hit_rate_raw \\\n", - "trials_id \n", - "0 im065 im077 NaN NaN \n", - "1 im077 im077 NaN NaN \n", - "2 im077 im077 NaN NaN \n", - "3 im077 im077 NaN NaN \n", - "4 im077 im077 NaN NaN \n", - "\n", - " hit_rate false_alarm_rate_raw false_alarm_rate rolling_dprime \n", - "trials_id \n", - "0 NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN \n", - "2 NaN NaN NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 NaN NaN NaN NaN " + "0 308.98272 316.25530 im065 im077 \n", + "1 316.48885 316.85579 im077 im077 \n", + "2 317.23947 318.17356 im077 im077 \n", + "3 318.74067 328.26515 im077 im061 \n", + "4 328.49870 337.30587 im061 im077 \n", + "\n", + " is_change change_time go catch \\\n", + "trials_id \n", + "0 True 312.021593 False False \n", + "1 False NaN False False \n", + "2 False NaN False False \n", + "3 True 324.031413 False False \n", + "4 True 333.055463 False False \n", + "\n", + " lick_times response_time \\\n", + "trials_id \n", + "0 [312.48555, 312.73578, 312.90259, 313.05271, 3... 312.48555 \n", + "1 [316.5389] NaN \n", + "2 [317.87332] NaN \n", + "3 [324.42868, 324.56211, 324.69556, 324.84573, 3... 324.42868 \n", + "4 [333.48607, 333.73628, 333.90307, 334.05318, 3... 333.48607 \n", + "\n", + " response_latency reward_time reward_volume hit false_alarm \\\n", + "trials_id \n", + "0 0.463957 312.15197 0.005 False False \n", + "1 NaN NaN 0.000 False False \n", + "2 NaN NaN 0.000 False False \n", + "3 0.397267 324.14511 0.005 False False \n", + "4 0.430607 333.18583 0.005 False False \n", + "\n", + " miss correct_reject aborted auto_rewarded change_frame \\\n", + "trials_id \n", + "0 False False False True 18166 \n", + "1 False False True False -99 \n", + "2 False False True False -99 \n", + "3 False False False True 18886 \n", + "4 False False False True 19427 \n", + "\n", + " trial_length reward_rate hit_rate_raw hit_rate \\\n", + "trials_id \n", + "0 7.27258 NaN NaN NaN \n", + "1 0.36694 NaN NaN NaN \n", + "2 0.93409 NaN NaN NaN \n", + "3 9.52448 NaN NaN NaN \n", + "4 8.80717 NaN NaN NaN \n", + "\n", + " false_alarm_rate_raw false_alarm_rate rolling_dprime \n", + "trials_id \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN " ] }, "execution_count": 14, @@ -1605,10 +1650,10 @@ "id": "5e28f8f2", "metadata": { "papermill": { - "duration": 0.058187, - "end_time": "2023-09-27T22:21:45.943612", + "duration": 0.017123, + "end_time": "2023-11-06T21:28:31.987482", "exception": false, - "start_time": "2023-09-27T22:21:45.885425", + "start_time": "2023-11-06T21:28:31.970359", "status": "completed" }, "pycharm": { @@ -1631,16 +1676,16 @@ "id": "4607061b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:46.055676Z", - "iopub.status.busy": "2023-09-27T22:21:46.055228Z", - "iopub.status.idle": "2023-09-27T22:21:46.300570Z", - "shell.execute_reply": "2023-09-27T22:21:46.299622Z" + "iopub.execute_input": "2023-11-06T21:28:32.023068Z", + "iopub.status.busy": "2023-11-06T21:28:32.022437Z", + "iopub.status.idle": "2023-11-06T21:28:32.175314Z", + "shell.execute_reply": "2023-11-06T21:28:32.174508Z" }, "papermill": { - "duration": 0.303962, - "end_time": "2023-09-27T22:21:46.303033", + "duration": 0.172837, + "end_time": "2023-11-06T21:28:32.177297", "exception": false, - "start_time": "2023-09-27T22:21:45.999071", + "start_time": "2023-11-06T21:28:32.004460", "status": "completed" }, "pycharm": { @@ -2637,7 +2682,7 @@ { "data": { "text/html": [ - "
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"start_time": "2023-09-27T22:21:46.494524", + "start_time": "2023-11-06T21:28:32.256010", "status": "completed" }, "pycharm": { @@ -2742,18 +2787,25 @@ " \n", " \n", " \n", + " stimulus_block\n", + " stimulus_block_name\n", " image_index\n", " image_name\n", + " movie_frame_index\n", " duration\n", " start_time\n", " end_time\n", " start_frame\n", " end_frame\n", " is_change\n", + " is_image_novel\n", " omitted\n", + " movie_repeat\n", " flashes_since_change\n", " trials_id\n", + " stimulus_name\n", " active\n", + " is_sham_change\n", " \n", " \n", " stimulus_presentations_id\n", @@ -2769,112 +2821,186 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 0\n", + " 1\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im065\n", - " 0.25022\n", - " 305.98756\n", - " 306.23778\n", + " -99\n", + " 0.25020\n", + " 309.019143\n", + " 309.269343\n", " 17986\n", - " 18001.0\n", + " 18001\n", + " False\n", " False\n", " False\n", - 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"1 306.97150 18030 NaN False \n", - "12 315.22825 18525 NaN False \n", - "33 330.99111 19470 NaN False \n", - "42 337.74660 19875 NaN False \n", - "66 355.76131 20955 NaN False \n", - "\n", - " omitted flashes_since_change trials_id active \n", - "stimulus_presentations_id \n", - "1 True 0 -99 True \n", - "12 True 7 -99 True \n", - "33 True 1 -99 True \n", - "42 True 9 -99 True \n", - "66 True 6 -99 True " + "17 Natural_Images_Lum_Matched_set_training_2017 \n", + "25 Natural_Images_Lum_Matched_set_training_2017 \n", + "37 Natural_Images_Lum_Matched_set_training_2017 \n", + "63 Natural_Images_Lum_Matched_set_training_2017 \n", + "66 Natural_Images_Lum_Matched_set_training_2017 \n", + "\n", + " active is_sham_change \n", + "stimulus_presentations_id \n", + "17 True False \n", + "25 True False \n", + "37 True False \n", + "63 True False \n", + "66 True False " ] }, "execution_count": 17, @@ -3103,10 +3310,10 @@ "id": "7492a498", "metadata": { "papermill": { - "duration": 0.054558, - "end_time": "2023-09-27T22:21:46.972406", + "duration": 0.01778, + "end_time": "2023-11-06T21:28:32.425444", "exception": false, - 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"start_time": "2023-09-27T22:21:47.721074", + "start_time": "2023-11-06T21:28:32.656827", "status": "completed" }, "pycharm": { @@ -3361,16 +3568,16 @@ "id": "9bdafc7a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:47.905003Z", - "iopub.status.busy": "2023-09-27T22:21:47.903774Z", - "iopub.status.idle": "2023-09-27T22:21:47.919917Z", - "shell.execute_reply": "2023-09-27T22:21:47.918937Z" + "iopub.execute_input": "2023-11-06T21:28:32.715163Z", + "iopub.status.busy": "2023-11-06T21:28:32.714683Z", + "iopub.status.idle": "2023-11-06T21:28:32.722242Z", + "shell.execute_reply": "2023-11-06T21:28:32.721498Z" }, "papermill": { - "duration": 0.079651, - "end_time": "2023-09-27T22:21:47.922031", + "duration": 0.029279, + "end_time": "2023-11-06T21:28:32.723717", "exception": false, - "start_time": "2023-09-27T22:21:47.842380", + "start_time": "2023-11-06T21:28:32.694438", "status": "completed" }, "pycharm": { @@ -3407,28 +3614,28 @@ " \n", " \n", " 0\n", - " 8.44550\n", - 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" 14813.194293\n", - " 184.506202\n", - " 66531.120928\n", - " 312.833888\n", - " 276.887232\n", - " 7.949605\n", - " 7.387807\n", - " -0.157317\n", - " 331.257388\n", - " 269.569497\n", - " 162.378660\n", - " 130.420546\n", - " 0.042803\n", - " 330.691566\n", - " 269.404159\n", - " 65.289862\n", - " 68.667213\n", - " 0.227099\n", + " 10278.561636\n", + " 112.314878\n", + " 52186.596867\n", + " 304.529129\n", + " 239.723128\n", + " 5.795130\n", + " 6.169134\n", + " -0.171360\n", + " 321.497389\n", + " 228.294415\n", + " 148.304450\n", + " 112.009517\n", + " -0.038966\n", + " 283.189635\n", + " 219.170357\n", + " 47.385991\n", + " 57.199369\n", + " 0.654353\n", " \n", " \n", "\n", @@ -3708,43 +3915,43 @@ "text/plain": [ " timestamps cr_area eye_area pupil_area likely_blink \\\n", "frame \n", - "0 0.42068 208.304081 66690.199475 14852.461632 False \n", - "1 0.43153 211.683443 67246.531870 14894.844884 False \n", - "2 0.44081 213.529562 67260.825064 14763.415717 False \n", - "3 0.47454 197.017497 67003.186733 14861.325140 False \n", - "4 0.49075 184.506202 66531.120928 14813.194293 False \n", + "0 0.12895 120.778985 52646.046976 9467.868055 False \n", + "1 0.15369 115.944914 52448.649649 10145.403510 False \n", + "2 0.17215 120.194858 52110.324268 10430.167825 False \n", + "3 0.21069 112.516058 51693.903652 10825.284266 False \n", + "4 0.24880 112.314878 52186.596867 10278.561636 False \n", "\n", " pupil_area_raw cr_area_raw eye_area_raw cr_center_x cr_center_y \\\n", "frame \n", - "0 14852.461632 208.304081 66690.199475 313.893949 275.783870 \n", - "1 14894.844884 211.683443 67246.531870 314.648703 274.890199 \n", - "2 14763.415717 213.529562 67260.825064 314.224868 274.586975 \n", - "3 14861.325140 197.017497 67003.186733 313.137500 276.562338 \n", - "4 14813.194293 184.506202 66531.120928 312.833888 276.887232 \n", + "0 9467.868055 120.778985 52646.046976 304.855877 238.850452 \n", + "1 10145.403510 115.944914 52448.649649 304.125448 240.159601 \n", + "2 10430.167825 120.194858 52110.324268 304.436750 242.135068 \n", + "3 10825.284266 112.516058 51693.903652 304.122429 241.159250 \n", + "4 10278.561636 112.314878 52186.596867 304.529129 239.723128 \n", "\n", " cr_width cr_height cr_phi eye_center_x eye_center_y eye_width \\\n", "frame \n", - "0 7.792411 8.508952 -0.166632 331.879196 267.942025 162.943138 \n", - "1 8.011922 8.410084 0.211865 333.166388 267.938712 162.592435 \n", - "2 8.118027 8.372548 0.536483 332.547380 267.146070 162.991558 \n", - "3 8.169200 7.676715 0.559468 332.315725 268.699396 162.297228 \n", - "4 7.949605 7.387807 -0.157317 331.257388 269.569497 162.378660 \n", + "0 5.860480 6.560068 0.041264 321.614711 229.150072 148.455382 \n", + "1 5.672125 6.506629 -0.276873 320.796911 229.198209 148.349421 \n", + "2 5.949392 6.430776 -0.445424 319.853374 231.950317 148.468978 \n", + "3 6.291358 5.692725 -0.182573 321.063479 230.763062 148.371626 \n", + "4 5.795130 6.169134 -0.171360 321.497389 228.294415 148.304450 \n", "\n", " eye_height eye_phi pupil_center_x pupil_center_y pupil_width \\\n", "frame \n", - "0 130.279495 0.055473 331.518456 267.277981 64.946794 \n", - "1 131.649642 0.049750 332.149275 267.294598 66.021009 \n", - "2 131.355181 0.038800 331.494585 266.882232 65.201056 \n", - "3 131.411836 0.043076 330.827633 269.505806 65.011954 \n", - "4 130.420546 0.042803 330.691566 269.404159 65.289862 \n", + "0 112.880766 -0.040543 284.593634 219.583658 54.897322 \n", + "1 112.537842 -0.036200 282.597206 216.890346 56.827654 \n", + "2 111.721867 -0.046359 283.692110 223.351216 47.981925 \n", + "3 110.901802 -0.042321 282.785915 222.177822 46.984507 \n", + "4 112.009517 -0.038966 283.189635 219.170357 47.385991 \n", "\n", " pupil_height pupil_phi \n", "frame \n", - "0 68.758166 0.487738 \n", - "1 68.856201 0.455899 \n", - "2 68.551741 0.448700 \n", - "3 68.778679 0.540266 \n", - "4 68.667213 0.227099 " + "0 46.068901 -0.741087 \n", + "1 43.674891 -0.650310 \n", + "2 57.619663 0.643652 \n", + "3 58.700894 0.606463 \n", + "4 57.199369 0.654353 " ] }, "execution_count": 22, @@ -3761,10 +3968,10 @@ "id": "d9a000bc", "metadata": { "papermill": { - "duration": 0.119749, - "end_time": "2023-09-27T22:21:48.376291", + "duration": 0.01859, + "end_time": "2023-11-06T21:28:32.858138", "exception": false, - "start_time": "2023-09-27T22:21:48.256542", + "start_time": "2023-11-06T21:28:32.839548", "status": "completed" }, "pycharm": { @@ -3783,16 +3990,16 @@ "id": "0eb66101", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:21:48.501967Z", - "iopub.status.busy": "2023-09-27T22:21:48.501072Z", - "iopub.status.idle": "2023-09-27T22:21:48.521107Z", - "shell.execute_reply": "2023-09-27T22:21:48.520149Z" + "iopub.execute_input": "2023-11-06T21:28:32.897150Z", + "iopub.status.busy": "2023-11-06T21:28:32.896642Z", + "iopub.status.idle": "2023-11-06T21:28:32.909280Z", + "shell.execute_reply": "2023-11-06T21:28:32.908596Z" }, "papermill": { - "duration": 0.084379, - "end_time": "2023-09-27T22:21:48.523245", + "duration": 0.033734, + "end_time": "2023-11-06T21:28:32.910689", "exception": false, - "start_time": "2023-09-27T22:21:48.438866", + "start_time": "2023-11-06T21:28:32.876955", "status": "completed" }, "pycharm": { @@ -3833,29 +4040,29 @@ " \n", " \n", " \n", - " 1086677732\n", - " 1080782769\n", - " [0.19445239017441418, 0.12601236314041633, 0.1...\n", + " 1120118128\n", + " 1115339979\n", + " [2.7728134118137593, 2.7377723001149357, 1.332...\n", " \n", " \n", - " 1086677737\n", - 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"1086677774 1080782973 \n", + "1120118128 1115339979 \n", + "1120118208 1115339983 \n", + "1120118626 1115340014 \n", + "1120118698 1115340017 \n", + "1120118967 1115340030 \n", "\n", " dff \n", "cell_specimen_id \n", - "1086677732 [0.19445239017441418, 0.12601236314041633, 0.1... \n", - "1086677737 [0.20871294449813774, 0.3277438520090626, 0.14... \n", - "1086677746 [0.2461564600926237, 0.2061539632478795, 0.183... \n", - "1086677771 [0.23367534487212552, 0.22006350260557936, 0.2... \n", - "1086677774 [1.1538649539919354, 0.5792651430717506, 0.386... " + "1120118128 [2.7728134118137593, 2.7377723001149357, 1.332... \n", + "1120118208 [0.3466408785876189, 0.4530561213911281, 0.347... \n", + "1120118626 [0.6086096210226783, 0.65493126738475, 0.73593... \n", + "1120118698 [0.9173731088455804, 0.282220484734575, 0.3718... \n", + "1120118967 [0.30710398969593, 0.44648909591684693, 0.0910... 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"duration": 0.019313, - "end_time": "2023-09-27T21:14:06.366129", + "duration": 0.011602, + "end_time": "2023-11-06T21:37:45.068855", "exception": false, - "start_time": "2023-09-27T21:14:06.346816", + "start_time": "2023-11-06T21:37:45.057253", "status": "completed" }, "tags": [] @@ -22,10 +22,10 @@ "id": "6d283c3f", "metadata": { "papermill": { - "duration": 0.015131, - "end_time": "2023-09-27T21:14:06.396730", + "duration": 0.009955, + "end_time": "2023-11-06T21:37:45.089122", "exception": false, - "start_time": "2023-09-27T21:14:06.381599", + "start_time": "2023-11-06T21:37:45.079167", "status": "completed" }, "tags": [] @@ -39,10 +39,10 @@ "id": "07dfb4ad", "metadata": { "papermill": { - "duration": 0.013851, - "end_time": "2023-09-27T21:14:06.426629", + "duration": 0.009741, + "end_time": "2023-11-06T21:37:45.108696", "exception": false, - "start_time": "2023-09-27T21:14:06.412778", + "start_time": "2023-11-06T21:37:45.098955", "status": "completed" }, "tags": [] @@ -56,10 +56,10 @@ "id": "b0c3a025", "metadata": { "papermill": { - "duration": 0.015589, - "end_time": "2023-09-27T21:14:06.458374", + "duration": 0.010068, + "end_time": "2023-11-06T21:37:45.129217", "exception": false, - "start_time": "2023-09-27T21:14:06.442785", + "start_time": "2023-11-06T21:37:45.119149", "status": "completed" }, "tags": [] @@ -73,10 +73,10 @@ "id": "9d3109b6", "metadata": { "papermill": { - "duration": 0.014671, - "end_time": "2023-09-27T21:14:06.487430", + "duration": 0.011273, + "end_time": "2023-11-06T21:37:45.150617", "exception": false, - "start_time": "2023-09-27T21:14:06.472759", + "start_time": "2023-11-06T21:37:45.139344", "status": "completed" }, "tags": [] @@ -91,16 +91,16 @@ "id": "a36cbd15", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:06.523462Z", - "iopub.status.busy": "2023-09-27T21:14:06.523032Z", - "iopub.status.idle": "2023-09-27T21:14:10.411192Z", - "shell.execute_reply": "2023-09-27T21:14:10.409554Z" + "iopub.execute_input": "2023-11-06T21:37:45.172077Z", + "iopub.status.busy": "2023-11-06T21:37:45.171567Z", + "iopub.status.idle": "2023-11-06T21:37:47.330252Z", + "shell.execute_reply": "2023-11-06T21:37:47.329481Z" }, "papermill": { - "duration": 3.911005, - "end_time": "2023-09-27T21:14:10.413714", + "duration": 2.17154, + "end_time": "2023-11-06T21:37:47.332085", "exception": false, - "start_time": "2023-09-27T21:14:06.502709", + "start_time": "2023-11-06T21:37:45.160545", "status": "completed" }, "tags": [] @@ -111,9 +111,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -124,33 +124,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -158,14 +158,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -173,29 +173,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -208,10 +208,10 @@ "id": "481c2023", "metadata": { "papermill": { - "duration": 0.016034, - "end_time": "2023-09-27T21:14:10.445767", + "duration": 0.010428, + "end_time": "2023-11-06T21:37:47.353502", "exception": false, - "start_time": "2023-09-27T21:14:10.429733", + "start_time": "2023-11-06T21:37:47.343074", "status": "completed" }, "tags": [] @@ -225,10 +225,10 @@ "id": "8732d954", "metadata": { "papermill": { - "duration": 0.017663, - "end_time": "2023-09-27T21:14:10.479707", + "duration": 0.010376, + "end_time": "2023-11-06T21:37:47.374476", "exception": false, - "start_time": "2023-09-27T21:14:10.462044", + "start_time": "2023-11-06T21:37:47.364100", "status": "completed" }, "tags": [] @@ -246,16 +246,16 @@ "id": "414fb6d0", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:10.515497Z", - "iopub.status.busy": "2023-09-27T21:14:10.514472Z", - "iopub.status.idle": "2023-09-27T21:14:16.621458Z", - "shell.execute_reply": "2023-09-27T21:14:16.620298Z" + "iopub.execute_input": "2023-11-06T21:37:47.397627Z", + "iopub.status.busy": "2023-11-06T21:37:47.397114Z", + "iopub.status.idle": "2023-11-06T21:37:51.346615Z", + "shell.execute_reply": "2023-11-06T21:37:51.345767Z" }, "papermill": { - "duration": 6.128501, - "end_time": "2023-09-27T21:14:16.624435", + "duration": 3.963194, + "end_time": "2023-11-06T21:37:51.348386", "exception": false, - "start_time": "2023-09-27T21:14:10.495934", + "start_time": "2023-11-06T21:37:47.385192", "status": "completed" }, "tags": [] @@ -265,11 +265,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -280,33 +280,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -314,14 +314,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -329,29 +329,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - 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"Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -365,10 +365,10 @@ "id": "56d4cc10", "metadata": { "papermill": { - "duration": 0.018792, - "end_time": "2023-09-27T21:14:16.661941", + "duration": 0.011083, + "end_time": "2023-11-06T21:37:51.370981", "exception": false, - "start_time": "2023-09-27T21:14:16.643149", + "start_time": "2023-11-06T21:37:51.359898", "status": "completed" }, "tags": [] @@ -382,10 +382,10 @@ "id": "ba93566e", "metadata": { "papermill": { - "duration": 0.017158, - "end_time": "2023-09-27T21:14:16.695509", + "duration": 0.011034, + "end_time": "2023-11-06T21:37:51.393293", "exception": false, - "start_time": "2023-09-27T21:14:16.678351", + "start_time": "2023-11-06T21:37:51.382259", "status": "completed" }, "tags": [] @@ -400,16 +400,16 @@ "id": "d30d8304", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:16.736245Z", - "iopub.status.busy": "2023-09-27T21:14:16.735265Z", - "iopub.status.idle": "2023-09-27T21:14:18.739978Z", - "shell.execute_reply": "2023-09-27T21:14:18.738892Z" + "iopub.execute_input": "2023-11-06T21:37:51.417647Z", + "iopub.status.busy": "2023-11-06T21:37:51.417126Z", + "iopub.status.idle": "2023-11-06T21:37:52.270521Z", + "shell.execute_reply": "2023-11-06T21:37:52.269933Z" }, "papermill": { - "duration": 2.028346, - "end_time": "2023-09-27T21:14:18.742946", + "duration": 0.867484, + "end_time": "2023-11-06T21:37:52.272176", "exception": false, - "start_time": "2023-09-27T21:14:16.714600", + "start_time": "2023-11-06T21:37:51.404692", "status": "completed" }, "tags": [] @@ -429,16 +429,16 @@ "id": "1cb3d49a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:18.783767Z", - "iopub.status.busy": "2023-09-27T21:14:18.781481Z", - "iopub.status.idle": "2023-09-27T21:14:18.823688Z", - "shell.execute_reply": "2023-09-27T21:14:18.822524Z" + "iopub.execute_input": "2023-11-06T21:37:52.296607Z", + "iopub.status.busy": "2023-11-06T21:37:52.296020Z", + "iopub.status.idle": "2023-11-06T21:37:52.322421Z", + "shell.execute_reply": "2023-11-06T21:37:52.321794Z" }, "papermill": { - "duration": 0.066097, - "end_time": "2023-09-27T21:14:18.825986", + "duration": 0.040542, + "end_time": "2023-11-06T21:37:52.324232", "exception": false, - "start_time": "2023-09-27T21:14:18.759889", + "start_time": "2023-11-06T21:37:52.283690", "status": "completed" }, "tags": [] @@ -457,16 +457,16 @@ "id": "97faa4e8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:18.875107Z", - "iopub.status.busy": "2023-09-27T21:14:18.874605Z", - "iopub.status.idle": "2023-09-27T21:14:18.906691Z", - "shell.execute_reply": "2023-09-27T21:14:18.905636Z" + "iopub.execute_input": "2023-11-06T21:37:52.348884Z", + "iopub.status.busy": "2023-11-06T21:37:52.348400Z", + "iopub.status.idle": "2023-11-06T21:37:52.367523Z", + "shell.execute_reply": "2023-11-06T21:37:52.366765Z" }, "papermill": { - "duration": 0.062357, - "end_time": "2023-09-27T21:14:18.910057", + "duration": 0.03305, + "end_time": "2023-11-06T21:37:52.368943", "exception": false, - "start_time": "2023-09-27T21:14:18.847700", + "start_time": "2023-11-06T21:37:52.335893", "status": "completed" }, "tags": [] @@ -495,16 +495,16 @@ "id": "405a1273", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:18.949317Z", - "iopub.status.busy": "2023-09-27T21:14:18.948460Z", - "iopub.status.idle": "2023-09-27T21:14:25.474788Z", - "shell.execute_reply": "2023-09-27T21:14:25.473302Z" + "iopub.execute_input": "2023-11-06T21:37:52.393456Z", + "iopub.status.busy": "2023-11-06T21:37:52.392944Z", + "iopub.status.idle": "2023-11-06T21:37:56.598902Z", + "shell.execute_reply": "2023-11-06T21:37:56.598174Z" }, "papermill": { - "duration": 6.549021, - "end_time": "2023-09-27T21:14:25.477075", + "duration": 4.220075, + "end_time": "2023-11-06T21:37:56.600595", "exception": false, - "start_time": "2023-09-27T21:14:18.928054", + "start_time": "2023-11-06T21:37:52.380520", "status": "completed" }, "tags": [] @@ -529,10 +529,10 @@ "id": "7cc23267", "metadata": { "papermill": { - "duration": 0.017408, - "end_time": "2023-09-27T21:14:25.512050", + "duration": 0.011433, + "end_time": "2023-11-06T21:37:56.623842", "exception": false, - "start_time": "2023-09-27T21:14:25.494642", + "start_time": "2023-11-06T21:37:56.612409", "status": "completed" }, "tags": [] @@ -546,10 +546,10 @@ "id": "78ca57d2", "metadata": { "papermill": { - "duration": 0.016374, - "end_time": "2023-09-27T21:14:25.544909", + "duration": 0.011201, + "end_time": "2023-11-06T21:37:56.646635", "exception": false, - "start_time": "2023-09-27T21:14:25.528535", + "start_time": "2023-11-06T21:37:56.635434", "status": "completed" }, "tags": [] @@ -564,16 +564,16 @@ "id": "03ece77c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:25.581588Z", - "iopub.status.busy": "2023-09-27T21:14:25.580630Z", - "iopub.status.idle": "2023-09-27T21:14:25.609107Z", - "shell.execute_reply": "2023-09-27T21:14:25.608248Z" + "iopub.execute_input": "2023-11-06T21:37:56.670825Z", + "iopub.status.busy": "2023-11-06T21:37:56.670137Z", + "iopub.status.idle": "2023-11-06T21:37:56.692034Z", + "shell.execute_reply": "2023-11-06T21:37:56.691432Z" }, "papermill": { - "duration": 0.050655, - "end_time": "2023-09-27T21:14:25.611212", + "duration": 0.035793, + "end_time": "2023-11-06T21:37:56.693575", "exception": false, - "start_time": "2023-09-27T21:14:25.560557", + "start_time": "2023-11-06T21:37:56.657782", "status": "completed" }, "tags": [ @@ -591,16 +591,16 @@ "id": "2bf58cc5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:25.708607Z", - "iopub.status.busy": "2023-09-27T21:14:25.708031Z", - "iopub.status.idle": "2023-09-27T21:14:28.776246Z", - "shell.execute_reply": "2023-09-27T21:14:28.775311Z" + "iopub.execute_input": "2023-11-06T21:37:56.766415Z", + "iopub.status.busy": "2023-11-06T21:37:56.765804Z", + "iopub.status.idle": "2023-11-06T21:37:59.736261Z", + "shell.execute_reply": "2023-11-06T21:37:59.735573Z" }, "papermill": { - "duration": 3.08795, - "end_time": "2023-09-27T21:14:28.778049", + "duration": 2.984599, + "end_time": "2023-11-06T21:37:59.737755", "exception": false, - "start_time": "2023-09-27T21:14:25.690099", + "start_time": "2023-11-06T21:37:56.753156", "status": "completed" }, "scrolled": false, @@ -611,7 +611,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", "\n", @@ -619,33 +619,38 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp3mcgrc_2/_downloaded_data.json\n", + "/tmp/tmpt7dt33bi/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.66MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 8.43MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 4.13MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 5.86MMB/s]" + "ophys_session_table.csv: 100%|██████████| 247k/247k [00:00<00:00, 1.92MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.59M/1.59M [00:00<00:00, 11.3MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 657k/657k [00:00<00:00, 2.97MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.28M/4.28M [00:00<00:00, 8.89MMB/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Number of behavior sessions = 4787\n", - "Number of ophys sessions = 705\n", - "Number of ophys experiments = 1941\n", - "Number of behavior sessions with Mesoscope = 164\n", - "Number of ophys sessions with Mesoscope = 164\n", - "Number of ophys experiments with Mesoscope = 867\n" + "Number of behavior sessions = 4782\n", + "Number of ophys sessions = 703\n", + "Number of ophys experiments = 1936\n", + "Number of behavior sessions with Mesoscope = 1305\n", + "Number of ophys sessions with Mesoscope = 162\n", + "Number of ophys experiments with Mesoscope = 862\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n" + "/home/runner/work/AllenSDK/AllenSDK/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py:135: UpdatedStimulusPresentationTableWarning: \n", + "\tAs of AllenSDK version 2.16.0, the latest Visual Behavior Ophys data has been significantly updated from previous releases. Specifically the user will need to update all processing of the stimulus_presentations tables. These tables now include multiple stimulus types delineated by the columns `stimulus_block` and `stimulus_block_name`.\n", + "\n", + "The data that was available in previous releases are stored in the block name containing 'change_detection' and can be accessed in the pandas table by using: \n", + "\t`stimulus_presentations[stimulus_presentations.stimulus_block_name.str.contains('change_detection')]`\n", + " warnings.warn(\n" ] } ], @@ -674,10 +679,10 @@ "id": "aa6aace5", "metadata": { "papermill": { - "duration": 0.01974, - "end_time": "2023-09-27T21:14:28.819608", + "duration": 0.012298, + "end_time": "2023-11-06T21:37:59.762849", "exception": false, - "start_time": "2023-09-27T21:14:28.799868", + "start_time": "2023-11-06T21:37:59.750551", "status": "completed" }, "tags": [] @@ -693,10 +698,10 @@ "id": "9fcac26c", "metadata": { "papermill": { - "duration": 0.017523, - "end_time": "2023-09-27T21:14:28.859499", + "duration": 0.012357, + "end_time": "2023-11-06T21:37:59.787902", "exception": false, - "start_time": "2023-09-27T21:14:28.841976", + "start_time": "2023-11-06T21:37:59.775545", "status": "completed" }, "tags": [] @@ -711,16 +716,16 @@ "id": "df00e2db", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:28.902986Z", - "iopub.status.busy": "2023-09-27T21:14:28.902567Z", - "iopub.status.idle": "2023-09-27T21:14:28.964373Z", - "shell.execute_reply": "2023-09-27T21:14:28.962387Z" + "iopub.execute_input": "2023-11-06T21:37:59.814560Z", + "iopub.status.busy": "2023-11-06T21:37:59.814271Z", + "iopub.status.idle": "2023-11-06T21:37:59.854552Z", + "shell.execute_reply": "2023-11-06T21:37:59.853860Z" }, "papermill": { - "duration": 0.088162, - "end_time": "2023-09-27T21:14:28.966285", + "duration": 0.055365, + "end_time": "2023-11-06T21:37:59.855993", "exception": false, - "start_time": "2023-09-27T21:14:28.878123", + "start_time": "2023-11-06T21:37:59.800628", "status": "completed" }, "scrolled": false, @@ -748,26 +753,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", - " sex\n", - " age_in_days\n", " cre_line\n", - " indicator\n", - " session_number\n", + " reporter_line\n", + " sex\n", " ...\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", - " date_of_acquisition\n", - " session_type\n", - " experience_level\n", " passive\n", - " image_set\n", + " experience_level\n", + " prior_exposures_to_session_type\n", + " prior_exposures_to_image_set\n", + " prior_exposures_to_omissions\n", + " date_of_acquisition\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -797,204 +802,212 @@ " \n", " \n", " \n", - " 917820358\n", - " MESO.1\n", + " 1057725798\n", + " 1056253022\n", + " 1056238781\n", + " 1052096554\n", + " 528097\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 453990\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 178.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", - " 2\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028172\n", - " VisualBehaviorMultiscope\n", - " 223\n", - " VISp\n", - " 2019-08-05 13:38:55+00:00\n", - " OPHYS_2_images_A_passive\n", - " Familiar\n", - " True\n", - " A\n", - " 1085400850\n", + " False\n", + " Novel >1\n", + " 0\n", + " 7\n", + " 10\n", + " 2020-10-13 10:09:00.366000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 1031852674\n", + " 1932\n", " \n", " \n", - " 914062456\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 462544\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 129.0\n", - " Slc17a7-IRES2-Cre\n", + " 891108758\n", + " 890157940\n", + " 889944877\n", + " 1018028370\n", + " 435431\n", " GCaMP6f\n", - " 3\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Vip-IRES-Cre]\n", + " Vip-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", " ...\n", - " 906963896\n", - " VisualBehaviorTask1B\n", - " 375\n", - " VISp\n", - " 2019-07-29 20:06:21+00:00\n", - " OPHYS_3_images_B\n", - " Familiar\n", - " False\n", - " B\n", - " 915227797\n", + " True\n", + " Novel >1\n", + " 1\n", + " 6\n", + " 10\n", + " 2019-06-19 10:45:53.800000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 815343876\n", + " 887\n", " \n", " \n", - " 882935355\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G...\n", - " 449441\n", - " Ai94(TITL-GCaMP6s)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", + " 891108773\n", + " 890157940\n", + " 889944877\n", + " 1018028377\n", + " 435431\n", + " GCaMP6f\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Vip-IRES-Cre]\n", + " Vip-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " M\n", - " 138.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6s\n", - " 6\n", " ...\n", - " 876693090\n", - " VisualBehavior\n", - " 175\n", - " VISp\n", - " 2019-06-07 15:02:48+00:00\n", - " OPHYS_6_images_B\n", + " True\n", " Novel >1\n", - " False\n", - " B\n", - " 883031631\n", + " 1\n", + " 6\n", + " 10\n", + " 2019-06-19 10:45:53.800000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 815343876\n", + " 893\n", " \n", " \n", - " 887386974\n", - " MESO.1\n", + " 1088351100\n", + " 1088263239\n", + " 1088247037\n", + " 1086191444\n", + " 550603\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 435431\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 210.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", - " 4\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028370\n", - " VisualBehaviorMultiscope\n", - " 215\n", - " VISp\n", - " 2019-06-14 09:46:08+00:00\n", - " OPHYS_4_images_B\n", - " Novel >1\n", - " False\n", - " B\n", - " 1085673886\n", + " True\n", + " Familiar\n", + " 0\n", + " 26\n", + " 4\n", + " 2021-03-05 13:19:43.064000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 1064781085\n", + " 1740\n", " \n", " \n", - " 966323525\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 481295\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 111.0\n", - " Slc17a7-IRES2-Cre\n", + " 975608392\n", + " 975498864\n", + " 975452945\n", + " 1018028199\n", + " 482853\n", " GCaMP6f\n", - " 1\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Sst-IRES-Cre]\n", + " Sst-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", " ...\n", - " 1018027954\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 173\n", - " VISam\n", - " 2019-10-11 08:14:27+00:00\n", - " OPHYS_1_images_G\n", - " Familiar\n", " False\n", - " G\n", - " 1120140483\n", + " Familiar\n", + " 0\n", + " 25\n", + " 0\n", + " 2019-11-01 14:53:10.259000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 937755139\n", + " 1450\n", " \n", " \n", "\n", - "

    5 rows × 25 columns

    \n", + "

    5 rows × 30 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "917820358 MESO.1 \n", - "914062456 CAM2P.3 \n", - "882935355 CAM2P.3 \n", - "887386974 MESO.1 \n", - "966323525 MESO.1 \n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "1057725798 1056253022 1056238781 \n", + "891108758 890157940 889944877 \n", + "891108773 890157940 889944877 \n", + "1088351100 1088263239 1088247037 \n", + "975608392 975498864 975452945 \n", "\n", - " full_genotype \\\n", - "ophys_experiment_id \n", - "917820358 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "914062456 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "882935355 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", - "887386974 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "966323525 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "1057725798 1052096554 528097 GCaMP6f \n", + "891108758 1018028370 435431 GCaMP6f \n", + "891108773 1018028377 435431 GCaMP6f \n", + "1088351100 1086191444 550603 GCaMP6f \n", + "975608392 1018028199 482853 GCaMP6f \n", "\n", - " mouse_id reporter_line \\\n", - "ophys_experiment_id \n", - "917820358 453990 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "914062456 462544 Ai93(TITL-GCaMP6f) \n", - "882935355 449441 Ai94(TITL-GCaMP6s) \n", - "887386974 435431 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "966323525 481295 Ai93(TITL-GCaMP6f) \n", + " full_genotype \\\n", + "ophys_experiment_id \n", + "1057725798 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "891108758 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "891108773 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1088351100 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "975608392 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " driver_line sex age_in_days \\\n", - "ophys_experiment_id \n", - "917820358 [Vip-IRES-Cre] M 178.0 \n", - "914062456 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 129.0 \n", - "882935355 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 138.0 \n", - "887386974 [Vip-IRES-Cre] M 210.0 \n", - "966323525 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 111.0 \n", + " driver_line cre_line reporter_line \\\n", + "ophys_experiment_id \n", + "1057725798 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "891108758 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "891108773 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "1088351100 [Vip-IRES-Cre] Vip-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "975608392 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " cre_line indicator session_number ... \\\n", - "ophys_experiment_id ... \n", - "917820358 Vip-IRES-Cre GCaMP6f 2 ... \n", - "914062456 Slc17a7-IRES2-Cre GCaMP6f 3 ... \n", - "882935355 Slc17a7-IRES2-Cre GCaMP6s 6 ... \n", - "887386974 Vip-IRES-Cre GCaMP6f 4 ... \n", - "966323525 Slc17a7-IRES2-Cre GCaMP6f 1 ... \n", + " sex ... passive experience_level \\\n", + "ophys_experiment_id ... \n", + "1057725798 F ... False Novel >1 \n", + "891108758 M ... True Novel >1 \n", + "891108773 M ... True Novel >1 \n", + "1088351100 F ... True Familiar \n", + "975608392 M ... False Familiar \n", "\n", - " ophys_container_id project_code \\\n", - "ophys_experiment_id \n", - "917820358 1018028172 VisualBehaviorMultiscope \n", - "914062456 906963896 VisualBehaviorTask1B \n", - "882935355 876693090 VisualBehavior \n", - "887386974 1018028370 VisualBehaviorMultiscope \n", - "966323525 1018027954 VisualBehaviorMultiscope4areasx2d \n", + " prior_exposures_to_session_type \\\n", + "ophys_experiment_id \n", + "1057725798 0 \n", + "891108758 1 \n", + "891108773 1 \n", + "1088351100 0 \n", + "975608392 0 \n", "\n", - " imaging_depth targeted_structure \\\n", - "ophys_experiment_id \n", - "917820358 223 VISp \n", - "914062456 375 VISp \n", - "882935355 175 VISp \n", - "887386974 215 VISp \n", - "966323525 173 VISam \n", + " prior_exposures_to_image_set \\\n", + "ophys_experiment_id \n", + "1057725798 7 \n", + "891108758 6 \n", + "891108773 6 \n", + "1088351100 26 \n", + "975608392 25 \n", "\n", - " date_of_acquisition session_type \\\n", - "ophys_experiment_id \n", - "917820358 2019-08-05 13:38:55+00:00 OPHYS_2_images_A_passive \n", - "914062456 2019-07-29 20:06:21+00:00 OPHYS_3_images_B \n", - "882935355 2019-06-07 15:02:48+00:00 OPHYS_6_images_B \n", - "887386974 2019-06-14 09:46:08+00:00 OPHYS_4_images_B \n", - "966323525 2019-10-11 08:14:27+00:00 OPHYS_1_images_G \n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "1057725798 10 \n", + "891108758 10 \n", + "891108773 10 \n", + "1088351100 4 \n", + "975608392 0 \n", "\n", - " experience_level passive image_set file_id \n", - "ophys_experiment_id \n", - "917820358 Familiar True A 1085400850 \n", - "914062456 Familiar False B 915227797 \n", - "882935355 Novel >1 False B 883031631 \n", - "887386974 Novel >1 False B 1085673886 \n", - "966323525 Familiar False G 1120140483 \n", + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "1057725798 2020-10-13 10:09:00.366000+00:00 MESO.1 \n", + "891108758 2019-06-19 10:45:53.800000+00:00 MESO.1 \n", + "891108773 2019-06-19 10:45:53.800000+00:00 MESO.1 \n", + "1088351100 2021-03-05 13:19:43.064000+00:00 MESO.1 \n", + "975608392 2019-11-01 14:53:10.259000+00:00 MESO.1 \n", "\n", - "[5 rows x 25 columns]" + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "1057725798 2021-03-25 1031852674 1932 \n", + "891108758 2021-03-25 815343876 887 \n", + "891108773 2021-03-25 815343876 893 \n", + "1088351100 2021-08-12 1064781085 1740 \n", + "975608392 2021-03-25 937755139 1450 \n", + "\n", + "[5 rows x 30 columns]" ] }, "execution_count": 10, @@ -1012,10 +1025,10 @@ "id": "b44e1dd3", "metadata": { "papermill": { - "duration": 0.017342, - "end_time": "2023-09-27T21:14:29.002805", + "duration": 0.012141, + "end_time": "2023-11-06T21:37:59.880893", "exception": false, - "start_time": "2023-09-27T21:14:28.985463", + "start_time": "2023-11-06T21:37:59.868752", "status": "completed" }, "tags": [] @@ -1030,16 +1043,16 @@ "id": "503a2b36", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:29.042623Z", - "iopub.status.busy": "2023-09-27T21:14:29.042071Z", - "iopub.status.idle": "2023-09-27T21:14:29.076088Z", - "shell.execute_reply": "2023-09-27T21:14:29.075011Z" + "iopub.execute_input": "2023-11-06T21:37:59.907340Z", + "iopub.status.busy": "2023-11-06T21:37:59.906827Z", + "iopub.status.idle": "2023-11-06T21:37:59.931639Z", + "shell.execute_reply": "2023-11-06T21:37:59.930959Z" }, "papermill": { - "duration": 0.055456, - "end_time": "2023-09-27T21:14:29.078160", + "duration": 0.039834, + "end_time": "2023-11-06T21:37:59.933071", "exception": false, - "start_time": "2023-09-27T21:14:29.022704", + "start_time": "2023-11-06T21:37:59.893237", "status": "completed" }, "tags": [] @@ -1066,10 +1079,10 @@ "id": "42983282", "metadata": { "papermill": { - "duration": 0.022461, - "end_time": "2023-09-27T21:14:29.122279", + "duration": 0.012647, + "end_time": "2023-11-06T21:37:59.958850", "exception": false, - "start_time": "2023-09-27T21:14:29.099818", + "start_time": "2023-11-06T21:37:59.946203", "status": "completed" }, "tags": [] @@ -1084,16 +1097,16 @@ "id": "87c01bc6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:29.162412Z", - "iopub.status.busy": "2023-09-27T21:14:29.161808Z", - "iopub.status.idle": "2023-09-27T21:14:29.192079Z", - "shell.execute_reply": "2023-09-27T21:14:29.191060Z" + "iopub.execute_input": "2023-11-06T21:37:59.985736Z", + "iopub.status.busy": "2023-11-06T21:37:59.985267Z", + "iopub.status.idle": "2023-11-06T21:38:00.008524Z", + "shell.execute_reply": "2023-11-06T21:38:00.007739Z" }, "papermill": { - "duration": 0.053523, - "end_time": "2023-09-27T21:14:29.194808", + "duration": 0.038603, + "end_time": "2023-11-06T21:38:00.010225", "exception": false, - "start_time": "2023-09-27T21:14:29.141285", + "start_time": "2023-11-06T21:37:59.971622", "status": "completed" }, "tags": [] @@ -1116,10 +1129,10 @@ "id": "834ca007", "metadata": { "papermill": { - "duration": 0.020253, - "end_time": "2023-09-27T21:14:29.236442", + "duration": 0.012773, + "end_time": "2023-11-06T21:38:00.036431", "exception": false, - "start_time": "2023-09-27T21:14:29.216189", + "start_time": "2023-11-06T21:38:00.023658", "status": "completed" }, "tags": [] @@ -1133,10 +1146,10 @@ "id": "644cfe8b", "metadata": { "papermill": { - "duration": 0.018863, - "end_time": "2023-09-27T21:14:29.273455", + "duration": 0.013437, + "end_time": "2023-11-06T21:38:00.062653", "exception": false, - "start_time": "2023-09-27T21:14:29.254592", + "start_time": "2023-11-06T21:38:00.049216", "status": "completed" }, "tags": [] @@ -1151,16 +1164,16 @@ "id": "0a3483d1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:29.317872Z", - "iopub.status.busy": "2023-09-27T21:14:29.316563Z", - "iopub.status.idle": "2023-09-27T21:14:50.936170Z", - "shell.execute_reply": "2023-09-27T21:14:50.934927Z" + "iopub.execute_input": "2023-11-06T21:38:00.090576Z", + "iopub.status.busy": "2023-11-06T21:38:00.090091Z", + "iopub.status.idle": "2023-11-06T21:38:18.781217Z", + "shell.execute_reply": "2023-11-06T21:38:18.780533Z" }, "papermill": { - "duration": 21.646326, - "end_time": "2023-09-27T21:14:50.938936", + "duration": 18.706851, + "end_time": "2023-11-06T21:38:18.782825", "exception": false, - "start_time": "2023-09-27T21:14:29.292610", + "start_time": "2023-11-06T21:38:00.075974", "status": "completed" }, "tags": [] @@ -1170,11 +1183,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_957759570.nwb: 100%|██████████| 277M/277M [00:16<00:00, 17.2MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_ophys_experiment_957759562.nwb: 100%|██████████| 241M/241M [00:14<00:00, 16.9MMB/s]\n" ] } ], @@ -1190,10 +1199,10 @@ "id": "ce17e0cc", "metadata": { "papermill": { - "duration": 0.02776, - "end_time": "2023-09-27T21:14:50.995052", + "duration": 0.015679, + "end_time": "2023-11-06T21:38:18.815046", "exception": false, - "start_time": "2023-09-27T21:14:50.967292", + "start_time": "2023-11-06T21:38:18.799367", "status": "completed" }, "tags": [] @@ -1208,16 +1217,16 @@ "id": "389f06e1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:51.051936Z", - "iopub.status.busy": "2023-09-27T21:14:51.050793Z", - "iopub.status.idle": "2023-09-27T21:14:51.085083Z", - "shell.execute_reply": "2023-09-27T21:14:51.084226Z" + "iopub.execute_input": "2023-11-06T21:38:18.848992Z", + "iopub.status.busy": "2023-11-06T21:38:18.848382Z", + "iopub.status.idle": "2023-11-06T21:38:18.872658Z", + "shell.execute_reply": "2023-11-06T21:38:18.872024Z" }, "papermill": { - "duration": 0.064907, - "end_time": "2023-09-27T21:14:51.087471", + "duration": 0.04285, + "end_time": "2023-11-06T21:38:18.874035", "exception": false, - "start_time": "2023-09-27T21:14:51.022564", + "start_time": "2023-11-06T21:38:18.831185", "status": "completed" }, "tags": [] @@ -1228,32 +1237,32 @@ "text/plain": [ "{'equipment_name': 'MESO.1',\n", " 'sex': 'F',\n", - " 'age_in_days': 233,\n", + " 'age_in_days': 213,\n", " 'stimulus_frame_rate': 60.0,\n", " 'session_type': 'OPHYS_4_images_B',\n", - " 'date_of_acquisition': datetime.datetime(2019, 9, 27, 8, 28, 5, tzinfo=tzlocal()),\n", + " 'date_of_acquisition': datetime.datetime(2019, 9, 27, 8, 58, 37, 5000, tzinfo=tzlocal()),\n", " 'reporter_line': 'Ai148(TIT2L-GC6f-ICL-tTA2)',\n", " 'cre_line': 'Sst-IRES-Cre',\n", " 'behavior_session_uuid': UUID('40897cd4-3279-4a2d-b65d-b3f984e34e17'),\n", " 'driver_line': ['Sst-IRES-Cre'],\n", " 'mouse_id': '457841',\n", - " 'project_code': 'Not Available',\n", + " 'project_code': 'VisualBehaviorMultiscope',\n", " 'full_genotype': 'Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt',\n", " 'behavior_session_id': 957032492,\n", " 'indicator': 'GCaMP6f',\n", " 'emission_lambda': 520.0,\n", " 'excitation_lambda': 910.0,\n", - " 'ophys_container_id': None,\n", + " 'ophys_container_id': 1018028342,\n", " 'field_of_view_height': 512,\n", " 'field_of_view_width': 512,\n", - " 'imaging_depth': None,\n", - " 'targeted_imaging_depth': None,\n", - " 'imaging_plane_group': 2,\n", + " 'imaging_depth': 150,\n", + " 'targeted_imaging_depth': 150,\n", + " 'imaging_plane_group': 0,\n", " 'imaging_plane_group_count': 4,\n", - " 'ophys_experiment_id': 957759570,\n", + " 'ophys_experiment_id': 957759562,\n", " 'ophys_frame_rate': 11.0,\n", " 'ophys_session_id': 957020350,\n", - " 'targeted_structure': 'VISl'}" + " 'targeted_structure': 'VISp'}" ] }, "execution_count": 14, @@ -1270,10 +1279,10 @@ "id": "ddd1b275", "metadata": { "papermill": { - "duration": 0.027796, - "end_time": "2023-09-27T21:14:51.139727", + "duration": 0.015695, + "end_time": "2023-11-06T21:38:18.905282", "exception": false, - "start_time": "2023-09-27T21:14:51.111931", + "start_time": "2023-11-06T21:38:18.889587", "status": "completed" }, "tags": [] @@ -1287,10 +1296,10 @@ "id": "cb3b8565", "metadata": { "papermill": { - "duration": 0.030057, - "end_time": "2023-09-27T21:14:51.198907", + "duration": 0.015319, + "end_time": "2023-11-06T21:38:18.936357", "exception": false, - "start_time": "2023-09-27T21:14:51.168850", + "start_time": "2023-11-06T21:38:18.921038", "status": "completed" }, "tags": [] @@ -1305,16 +1314,16 @@ "id": "e7f56aae", "metadata": { "execution": { - "iopub.execute_input": 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", 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", 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    " ] @@ -1351,10 +1360,10 @@ "id": "f4ca3a39", "metadata": { "papermill": { - "duration": 0.027464, - "end_time": "2023-09-27T21:14:51.679593", + "duration": 0.017693, + "end_time": "2023-11-06T21:38:19.220343", "exception": false, - "start_time": "2023-09-27T21:14:51.652129", + "start_time": "2023-11-06T21:38:19.202650", "status": "completed" }, "tags": [] @@ -1368,10 +1377,10 @@ "id": "c698febb", "metadata": { "papermill": { - "duration": 0.028705, - "end_time": "2023-09-27T21:14:51.735755", + "duration": 0.017194, + "end_time": "2023-11-06T21:38:19.254806", "exception": false, - "start_time": "2023-09-27T21:14:51.707050", + "start_time": "2023-11-06T21:38:19.237612", "status": "completed" }, "tags": [] @@ -1386,16 +1395,16 @@ "id": "edac839d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:51.787302Z", - "iopub.status.busy": "2023-09-27T21:14:51.786887Z", - "iopub.status.idle": "2023-09-27T21:14:52.133944Z", - "shell.execute_reply": "2023-09-27T21:14:52.132676Z" + "iopub.execute_input": "2023-11-06T21:38:19.291186Z", + "iopub.status.busy": "2023-11-06T21:38:19.290481Z", + "iopub.status.idle": "2023-11-06T21:38:19.537064Z", + "shell.execute_reply": "2023-11-06T21:38:19.536328Z" }, "papermill": { - "duration": 0.376687, - "end_time": "2023-09-27T21:14:52.137528", + "duration": 0.266384, + "end_time": "2023-11-06T21:38:19.538604", "exception": false, - "start_time": "2023-09-27T21:14:51.760841", + "start_time": "2023-11-06T21:38:19.272220", "status": "completed" }, "scrolled": false, @@ -1454,48 +1463,48 @@ " \n", " \n", " \n", - " 1086610611\n", - " 1080722823\n", - " 18\n", + " 1086614819\n", + " 1080740886\n", + " 22\n", " 0\n", - " 6.0\n", - " 10.0\n", - " 7.0\n", - " 17.0\n", + " 5.0\n", + " 25.0\n", + " 3.0\n", + " 30.0\n", " True\n", - " 11\n", - " 48\n", - " 154\n", + " 16\n", + " 443\n", + " 275\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", - " 1086607431\n", - " 1080722776\n", - " 19\n", - " 1\n", - " 6.0\n", - " 10.0\n", - " 7.0\n", - " 17.0\n", + " 1086615620\n", + " 1080740955\n", + " 17\n", + " 0\n", + " 5.0\n", + " 25.0\n", + " 3.0\n", + " 30.0\n", " True\n", " 19\n", - " 227\n", - " 379\n", + " 280\n", + " 104\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", - " 1086607071\n", - " 1080722688\n", - " 26\n", + " 1086614149\n", + " 1080740882\n", + " 16\n", " 0\n", - " 6.0\n", - " 10.0\n", - " 7.0\n", - " 17.0\n", + " 5.0\n", + " 25.0\n", + " 3.0\n", + " 30.0\n", " True\n", - " 20\n", - " 111\n", - " 279\n", + " 17\n", + " 216\n", + " 456\n", " [[False, False, False, False, False, False, Fa...\n", " \n", " \n", @@ -1505,27 +1514,27 @@ "text/plain": [ " cell_roi_id height mask_image_plane max_correction_down \\\n", "cell_specimen_id \n", - "1086610611 1080722823 18 0 6.0 \n", - "1086607431 1080722776 19 1 6.0 \n", - "1086607071 1080722688 26 0 6.0 \n", + "1086614819 1080740886 22 0 5.0 \n", + "1086615620 1080740955 17 0 5.0 \n", + "1086614149 1080740882 16 0 5.0 \n", "\n", " max_correction_left max_correction_right \\\n", "cell_specimen_id \n", - "1086610611 10.0 7.0 \n", - "1086607431 10.0 7.0 \n", - "1086607071 10.0 7.0 \n", + "1086614819 25.0 3.0 \n", + "1086615620 25.0 3.0 \n", + "1086614149 25.0 3.0 \n", "\n", " max_correction_up valid_roi width x y \\\n", "cell_specimen_id \n", - "1086610611 17.0 True 11 48 154 \n", - "1086607431 17.0 True 19 227 379 \n", - "1086607071 17.0 True 20 111 279 \n", + "1086614819 30.0 True 16 443 275 \n", + "1086615620 30.0 True 19 280 104 \n", + "1086614149 30.0 True 17 216 456 \n", "\n", " roi_mask \n", "cell_specimen_id \n", - "1086610611 [[False, False, False, False, False, False, Fa... \n", - "1086607431 [[False, False, False, False, False, False, Fa... \n", - "1086607071 [[False, False, False, False, False, False, Fa... " + "1086614819 [[False, False, False, False, False, False, Fa... \n", + "1086615620 [[False, False, False, False, False, False, Fa... \n", + "1086614149 [[False, False, False, False, False, False, Fa... " ] }, "execution_count": 16, @@ -1542,10 +1551,10 @@ "id": "70171598", "metadata": { "papermill": { - "duration": 0.028776, - "end_time": "2023-09-27T21:14:52.193868", + "duration": 0.01758, + "end_time": "2023-11-06T21:38:19.574014", "exception": false, - "start_time": "2023-09-27T21:14:52.165092", + "start_time": "2023-11-06T21:38:19.556434", "status": "completed" }, "tags": [] @@ -1566,16 +1575,16 @@ "id": "39d0c032", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:52.249349Z", - "iopub.status.busy": "2023-09-27T21:14:52.248755Z", - "iopub.status.idle": "2023-09-27T21:14:52.538730Z", - "shell.execute_reply": "2023-09-27T21:14:52.537507Z" + "iopub.execute_input": "2023-11-06T21:38:19.609568Z", + "iopub.status.busy": "2023-11-06T21:38:19.609053Z", + "iopub.status.idle": "2023-11-06T21:38:19.932842Z", + "shell.execute_reply": "2023-11-06T21:38:19.932075Z" }, "papermill": { - "duration": 0.320977, - "end_time": "2023-09-27T21:14:52.541346", + "duration": 0.343173, + "end_time": "2023-11-06T21:38:19.934431", "exception": false, - "start_time": "2023-09-27T21:14:52.220369", + "start_time": "2023-11-06T21:38:19.591258", "status": "completed" }, "tags": [] @@ -1584,7 +1593,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 17, @@ -1593,7 +1602,7 @@ }, { "data": { - "image/png": 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", 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", 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    " ] @@ -1611,10 +1620,10 @@ "id": "fa6ccf26", "metadata": { "papermill": { - "duration": 0.027482, - "end_time": "2023-09-27T21:14:52.598139", + "duration": 0.017788, + "end_time": "2023-11-06T21:38:19.970561", "exception": false, - "start_time": "2023-09-27T21:14:52.570657", + "start_time": "2023-11-06T21:38:19.952773", "status": "completed" }, "tags": [] @@ -1629,16 +1638,16 @@ "id": "c7ff142e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:52.659489Z", - "iopub.status.busy": "2023-09-27T21:14:52.658984Z", - "iopub.status.idle": "2023-09-27T21:14:52.713316Z", - "shell.execute_reply": "2023-09-27T21:14:52.712388Z" + "iopub.execute_input": "2023-11-06T21:38:20.007051Z", + "iopub.status.busy": "2023-11-06T21:38:20.006734Z", + "iopub.status.idle": "2023-11-06T21:38:20.040166Z", + "shell.execute_reply": "2023-11-06T21:38:20.039441Z" }, "papermill": { - "duration": 0.085488, - "end_time": "2023-09-27T21:14:52.715284", + "duration": 0.053431, + "end_time": "2023-11-06T21:38:20.041553", "exception": false, - "start_time": "2023-09-27T21:14:52.629796", + "start_time": "2023-11-06T21:38:19.988122", "status": "completed" }, "tags": [] @@ -1676,54 +1685,44 @@ " \n", " \n", " \n", - " 1086607071\n", - " 1080722688\n", - " [0.2915222644805908, 0.43415918946266174, 0.50...\n", - " \n", - " \n", - " 1086607143\n", - " 1080722691\n", - " [0.13391682505607605, 0.29041922092437744, 0.2...\n", + " 1086614149\n", + " 1080740882\n", + " [0.3417784869670868, 0.1917504370212555, 0.169...\n", " \n", " \n", - " 1086607340\n", - " 1080722703\n", - " [0.25876128673553467, 0.28472623229026794, 0.2...\n", + " 1086614819\n", + " 1080740886\n", + " [0.0, -2.010002374649048, -1.3567286729812622,...\n", " \n", " \n", - " 1086607562\n", - " 1080722713\n", - " [0.33256980776786804, 0.3811415135860443, 0.15...\n", + " 1086614512\n", + " 1080740888\n", + " [0.07121878117322922, 0.10929209738969803, 0.0...\n", " \n", " \n", - " 1086608432\n", - " 1080722725\n", - " [0.6332074403762817, 0.8515550494194031, 0.342...\n", + " 1086613265\n", + " 1080740947\n", + " [0.3090711534023285, 0.02156120352447033, -0.0...\n", " \n", " \n", - " 1086610383\n", - " 1080722726\n", - " [0.21246589720249176, 0.18863870203495026, 0.1...\n", + " 1086616398\n", + " 1080740952\n", + " [0.0, 0.15438319742679596, 0.37885594367980957...\n", " \n", " \n", - " 1086607814\n", - " 1080722743\n", - " [0.19181318581104279, 0.1326054036617279, 0.28...\n", + " 1086615620\n", + " 1080740955\n", + " [0.15867245197296143, 0.15752384066581726, 0.2...\n", " \n", " \n", - " 1086608913\n", - " 1080722764\n", - " [0.01678711175918579, 0.27544718980789185, 0.1...\n", + " 1086615201\n", + " 1080740967\n", + " [0.42869994044303894, 0.23723232746124268, -0....\n", " \n", " \n", - " 1086608195\n", - " 1080722771\n", - " [2.041205883026123, 0.9304129481315613, 0.6569...\n", - " \n", - " \n", - " 1086607431\n", - " 1080722776\n", - " [0.22929009795188904, 0.4735485315322876, 0.21...\n", + " 1086616101\n", + " 1080741008\n", + " [0.727859377861023, 0.20604123175144196, 0.333...\n", " \n", " \n", "\n", @@ -1732,29 +1731,25 @@ "text/plain": [ " cell_roi_id \\\n", "cell_specimen_id \n", - "1086607071 1080722688 \n", - "1086607143 1080722691 \n", - "1086607340 1080722703 \n", - "1086607562 1080722713 \n", - "1086608432 1080722725 \n", - "1086610383 1080722726 \n", - "1086607814 1080722743 \n", - "1086608913 1080722764 \n", - "1086608195 1080722771 \n", - "1086607431 1080722776 \n", + "1086614149 1080740882 \n", + "1086614819 1080740886 \n", + "1086614512 1080740888 \n", + "1086613265 1080740947 \n", + "1086616398 1080740952 \n", + "1086615620 1080740955 \n", + "1086615201 1080740967 \n", + "1086616101 1080741008 \n", "\n", " dff \n", "cell_specimen_id \n", - "1086607071 [0.2915222644805908, 0.43415918946266174, 0.50... \n", - "1086607143 [0.13391682505607605, 0.29041922092437744, 0.2... \n", - "1086607340 [0.25876128673553467, 0.28472623229026794, 0.2... \n", - "1086607562 [0.33256980776786804, 0.3811415135860443, 0.15... \n", - "1086608432 [0.6332074403762817, 0.8515550494194031, 0.342... \n", - "1086610383 [0.21246589720249176, 0.18863870203495026, 0.1... \n", - "1086607814 [0.19181318581104279, 0.1326054036617279, 0.28... \n", - "1086608913 [0.01678711175918579, 0.27544718980789185, 0.1... \n", - "1086608195 [2.041205883026123, 0.9304129481315613, 0.6569... \n", - "1086607431 [0.22929009795188904, 0.4735485315322876, 0.21... " + "1086614149 [0.3417784869670868, 0.1917504370212555, 0.169... \n", + "1086614819 [0.0, -2.010002374649048, -1.3567286729812622,... \n", + "1086614512 [0.07121878117322922, 0.10929209738969803, 0.0... \n", + "1086613265 [0.3090711534023285, 0.02156120352447033, -0.0... \n", + "1086616398 [0.0, 0.15438319742679596, 0.37885594367980957... \n", + "1086615620 [0.15867245197296143, 0.15752384066581726, 0.2... \n", + "1086615201 [0.42869994044303894, 0.23723232746124268, -0.... \n", + "1086616101 [0.727859377861023, 0.20604123175144196, 0.333... " ] }, "execution_count": 18, @@ -1771,10 +1766,10 @@ "id": "bfd89dea", "metadata": { "papermill": { - "duration": 0.025281, - "end_time": "2023-09-27T21:14:52.771305", + "duration": 0.01791, + "end_time": "2023-11-06T21:38:20.077847", "exception": false, - "start_time": "2023-09-27T21:14:52.746024", + "start_time": "2023-11-06T21:38:20.059937", "status": "completed" }, "tags": [] @@ -1791,16 +1786,16 @@ "id": "a7209321", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:52.829418Z", - "iopub.status.busy": "2023-09-27T21:14:52.828387Z", - "iopub.status.idle": "2023-09-27T21:14:52.866753Z", - "shell.execute_reply": "2023-09-27T21:14:52.865891Z" + "iopub.execute_input": "2023-11-06T21:38:20.114565Z", + "iopub.status.busy": "2023-11-06T21:38:20.114058Z", + "iopub.status.idle": "2023-11-06T21:38:20.141026Z", + "shell.execute_reply": "2023-11-06T21:38:20.140269Z" }, "papermill": { - "duration": 0.068482, - "end_time": "2023-09-27T21:14:52.869379", + "duration": 0.047107, + "end_time": "2023-11-06T21:38:20.142547", "exception": false, - "start_time": "2023-09-27T21:14:52.800897", + "start_time": "2023-11-06T21:38:20.095440", "status": "completed" }, "scrolled": true, @@ -1810,9 +1805,9 @@ { "data": { "text/plain": [ - "cell_roi_id 1080722725\n", - "dff [0.6332074403762817, 0.8515550494194031, 0.342...\n", - "Name: 1086608432, dtype: object" + "cell_roi_id 1080740952\n", + "dff [0.0, 0.15438319742679596, 0.37885594367980957...\n", + "Name: 1086616398, dtype: object" ] }, "execution_count": 19, @@ -1829,10 +1824,10 @@ "id": "c6eb62fe", "metadata": { "papermill": { - "duration": 0.025841, - "end_time": "2023-09-27T21:14:52.925018", + "duration": 0.017856, + "end_time": "2023-11-06T21:38:20.178626", "exception": false, - "start_time": "2023-09-27T21:14:52.899177", + "start_time": "2023-11-06T21:38:20.160770", "status": "completed" }, "tags": [] @@ -1847,16 +1842,16 @@ "id": "f5206b1e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:52.987474Z", - "iopub.status.busy": "2023-09-27T21:14:52.986610Z", - "iopub.status.idle": "2023-09-27T21:14:53.023953Z", - "shell.execute_reply": "2023-09-27T21:14:53.022987Z" + "iopub.execute_input": "2023-11-06T21:38:20.214979Z", + "iopub.status.busy": "2023-11-06T21:38:20.214430Z", + "iopub.status.idle": "2023-11-06T21:38:20.241703Z", + "shell.execute_reply": "2023-11-06T21:38:20.240989Z" }, "papermill": { - "duration": 0.075033, - "end_time": "2023-09-27T21:14:53.026640", + "duration": 0.047255, + "end_time": "2023-11-06T21:38:20.243181", "exception": false, - "start_time": "2023-09-27T21:14:52.951607", + "start_time": "2023-11-06T21:38:20.195926", "status": "completed" }, "tags": [] @@ -1865,9 +1860,9 @@ { "data": { "text/plain": [ - "cell_roi_id 1080722882\n", - "dff [0.20095007121562958, 0.1715908646583557, 0.16...\n", - "Name: 1086608577, dtype: object" + "cell_roi_id 1080740882\n", + "dff [0.3417784869670868, 0.1917504370212555, 0.169...\n", + "Name: 1086614149, dtype: object" ] }, "execution_count": 20, @@ -1885,10 +1880,10 @@ "id": "7088aec1", "metadata": { "papermill": { - "duration": 0.027185, - "end_time": "2023-09-27T21:14:53.082687", + "duration": 0.018348, + "end_time": "2023-11-06T21:38:20.279899", "exception": false, - "start_time": "2023-09-27T21:14:53.055502", + "start_time": "2023-11-06T21:38:20.261551", "status": "completed" }, "tags": [] @@ -1903,16 +1898,16 @@ "id": "9d52c084", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:53.145891Z", - "iopub.status.busy": "2023-09-27T21:14:53.144843Z", - "iopub.status.idle": "2023-09-27T21:14:53.195424Z", - "shell.execute_reply": "2023-09-27T21:14:53.194471Z" + "iopub.execute_input": "2023-11-06T21:38:20.318637Z", + "iopub.status.busy": "2023-11-06T21:38:20.317993Z", + "iopub.status.idle": "2023-11-06T21:38:20.343360Z", + "shell.execute_reply": "2023-11-06T21:38:20.342636Z" }, "papermill": { - "duration": 0.084358, - "end_time": "2023-09-27T21:14:53.197308", + "duration": 0.046065, + "end_time": "2023-11-06T21:38:20.344807", "exception": false, - "start_time": "2023-09-27T21:14:53.112950", + "start_time": "2023-11-06T21:38:20.298742", "status": "completed" }, "scrolled": true, @@ -1923,7 +1918,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "This array contrains dff traces from 23 neurons and it is 48284 samples long.\n" + "This array contrains dff traces from 8 neurons and it is 48284 samples long.\n" ] } ], @@ -1937,10 +1932,10 @@ "id": "0bf0c6d8", "metadata": { "papermill": { - "duration": 0.030709, - "end_time": "2023-09-27T21:14:53.259355", + "duration": 0.017652, + "end_time": "2023-11-06T21:38:20.380833", "exception": false, - "start_time": "2023-09-27T21:14:53.228646", + "start_time": "2023-11-06T21:38:20.363181", "status": "completed" }, "tags": [] @@ -1955,16 +1950,16 @@ "id": "1bdb4120", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:53.320920Z", - "iopub.status.busy": "2023-09-27T21:14:53.320105Z", - "iopub.status.idle": "2023-09-27T21:14:53.385186Z", - "shell.execute_reply": "2023-09-27T21:14:53.384080Z" + "iopub.execute_input": "2023-11-06T21:38:20.418037Z", + "iopub.status.busy": "2023-11-06T21:38:20.417512Z", + "iopub.status.idle": "2023-11-06T21:38:20.458816Z", + "shell.execute_reply": "2023-11-06T21:38:20.458140Z" }, "papermill": { - "duration": 0.098197, - "end_time": "2023-09-27T21:14:53.388149", + "duration": 0.061479, + "end_time": "2023-11-06T21:38:20.460199", "exception": false, - "start_time": "2023-09-27T21:14:53.289952", + "start_time": "2023-11-06T21:38:20.398720", "status": "completed" }, "scrolled": true, @@ -2009,84 +2004,68 @@ " \n", " \n", " \n", - " 1086607071\n", - " 1080722688\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.1599\n", - " 0.124335\n", - " \n", - " \n", - " 1086607143\n", - " 1080722691\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.0762\n", - " 0.085989\n", - " \n", - " \n", - " 1086607340\n", - " 1080722703\n", + " 1086614149\n", + " 1080740882\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.0832\n", - " 0.089782\n", + " 0.0753\n", + " 0.085235\n", " \n", " \n", - " 1086607562\n", - " 1080722713\n", + " 1086614819\n", + " 1080740886\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.0477\n", - " 0.069837\n", + " 5.3130\n", + " 0.714571\n", " \n", " \n", - " 1086608432\n", - " 1080722725\n", + " 1086614512\n", + " 1080740888\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.1886\n", - " 0.134772\n", + " 0.0324\n", + " 0.055955\n", " \n", " \n", - " 1086610383\n", - " 1080722726\n", + " 1086613265\n", + " 1080740947\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.0431\n", - " 0.064415\n", + " 0.0272\n", + " 0.051073\n", " \n", " \n", - " 1086607814\n", - " 1080722743\n", + " 1086616398\n", + " 1080740952\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.0917\n", - " 0.094015\n", + " 0.0570\n", + " 0.074011\n", " \n", " \n", - " 1086608913\n", - " 1080722764\n", + " 1086615620\n", + " 1080740955\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.1034\n", - " 0.099846\n", + " 0.0769\n", + " 0.086979\n", " \n", " \n", - " 1086608195\n", - " 1080722771\n", + " 1086615201\n", + " 1080740967\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.9085\n", - " 0.295720\n", + " 0.0872\n", + " 0.091952\n", " \n", " \n", - " 1086607431\n", - " 1080722776\n", + " 1086616101\n", + " 1080741008\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", " [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ...\n", - " 0.1025\n", - " 0.099387\n", + " 0.1596\n", + " 0.123868\n", " \n", " \n", "\n", @@ -2095,55 +2074,47 @@ "text/plain": [ " cell_roi_id \\\n", "cell_specimen_id \n", - "1086607071 1080722688 \n", - "1086607143 1080722691 \n", - "1086607340 1080722703 \n", - "1086607562 1080722713 \n", - "1086608432 1080722725 \n", - "1086610383 1080722726 \n", - "1086607814 1080722743 \n", - "1086608913 1080722764 \n", - "1086608195 1080722771 \n", - "1086607431 1080722776 \n", + "1086614149 1080740882 \n", + "1086614819 1080740886 \n", + "1086614512 1080740888 \n", + "1086613265 1080740947 \n", + "1086616398 1080740952 \n", + "1086615620 1080740955 \n", + "1086615201 1080740967 \n", + "1086616101 1080741008 \n", "\n", " events \\\n", "cell_specimen_id \n", - "1086607071 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086607143 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086607340 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086607562 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086608432 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086610383 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086607814 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086608913 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086608195 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", - "1086607431 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086614149 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086614819 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086614512 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086613265 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086616398 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086615620 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086615201 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", + "1086616101 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... \n", "\n", " filtered_events lambda \\\n", "cell_specimen_id \n", - "1086607071 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.1599 \n", - "1086607143 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0762 \n", - "1086607340 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0832 \n", - "1086607562 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0477 \n", - "1086608432 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.1886 \n", - "1086610383 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0431 \n", - "1086607814 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0917 \n", - "1086608913 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.1034 \n", - "1086608195 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.9085 \n", - "1086607431 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.1025 \n", + "1086614149 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0753 \n", + "1086614819 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 5.3130 \n", + "1086614512 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0324 \n", + "1086613265 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0272 \n", + "1086616398 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0570 \n", + "1086615620 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0769 \n", + "1086615201 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.0872 \n", + "1086616101 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ... 0.1596 \n", "\n", " noise_std \n", "cell_specimen_id \n", - "1086607071 0.124335 \n", - "1086607143 0.085989 \n", - "1086607340 0.089782 \n", - "1086607562 0.069837 \n", - "1086608432 0.134772 \n", - "1086610383 0.064415 \n", - "1086607814 0.094015 \n", - "1086608913 0.099846 \n", - "1086608195 0.295720 \n", - "1086607431 0.099387 " + "1086614149 0.085235 \n", + "1086614819 0.714571 \n", + "1086614512 0.055955 \n", + "1086613265 0.051073 \n", + "1086616398 0.074011 \n", + "1086615620 0.086979 \n", + "1086615201 0.091952 \n", + "1086616101 0.123868 " ] }, "execution_count": 22, @@ -2160,10 +2131,10 @@ "id": "7dd70f60", "metadata": { "papermill": { - "duration": 0.030102, - "end_time": "2023-09-27T21:14:53.449307", + "duration": 0.017942, + "end_time": "2023-11-06T21:38:20.496667", "exception": false, - "start_time": "2023-09-27T21:14:53.419205", + "start_time": "2023-11-06T21:38:20.478725", "status": "completed" }, "tags": [] @@ -2181,10 +2152,10 @@ "id": "eee9addd", "metadata": { "papermill": { - "duration": 0.032921, - "end_time": "2023-09-27T21:14:53.508788", + "duration": 0.01809, + "end_time": "2023-11-06T21:38:20.532931", "exception": false, - "start_time": "2023-09-27T21:14:53.475867", + "start_time": "2023-11-06T21:38:20.514841", "status": "completed" }, "tags": [] @@ -2201,16 +2172,16 @@ "id": "5bc33966", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:53.573025Z", - "iopub.status.busy": "2023-09-27T21:14:53.572173Z", - "iopub.status.idle": "2023-09-27T21:14:53.610183Z", - "shell.execute_reply": "2023-09-27T21:14:53.609125Z" + "iopub.execute_input": "2023-11-06T21:38:20.569975Z", + "iopub.status.busy": "2023-11-06T21:38:20.569391Z", + "iopub.status.idle": "2023-11-06T21:38:20.593232Z", + "shell.execute_reply": "2023-11-06T21:38:20.592531Z" }, "papermill": { - "duration": 0.072683, - "end_time": "2023-09-27T21:14:53.612674", + "duration": 0.043839, + "end_time": "2023-11-06T21:38:20.594585", "exception": false, - "start_time": "2023-09-27T21:14:53.539991", + "start_time": "2023-11-06T21:38:20.550746", "status": "completed" }, "scrolled": true, @@ -2220,8 +2191,8 @@ { "data": { "text/plain": [ - "array([ 8.77128, 8.86448, 8.95768, ..., 4510.0275 , 4510.12074,\n", - " 4510.21397])" + "array([ 8.72468, 8.81788, 8.91108, ..., 4509.98089, 4510.07412,\n", + " 4510.16735])" ] }, "execution_count": 23, @@ -2238,10 +2209,10 @@ "id": "442089da", "metadata": { "papermill": { - "duration": 0.027144, - "end_time": "2023-09-27T21:14:53.668624", + "duration": 0.017865, + "end_time": "2023-11-06T21:38:20.630681", "exception": false, - "start_time": "2023-09-27T21:14:53.641480", + "start_time": "2023-11-06T21:38:20.612816", "status": "completed" }, "tags": [] @@ -2258,16 +2229,16 @@ "id": "7cb2ae0b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:53.730275Z", - "iopub.status.busy": "2023-09-27T21:14:53.729490Z", - "iopub.status.idle": "2023-09-27T21:14:53.758542Z", - "shell.execute_reply": "2023-09-27T21:14:53.757382Z" + "iopub.execute_input": "2023-11-06T21:38:20.668368Z", + "iopub.status.busy": "2023-11-06T21:38:20.667890Z", + "iopub.status.idle": "2023-11-06T21:38:20.690571Z", + "shell.execute_reply": "2023-11-06T21:38:20.689864Z" }, "papermill": { - "duration": 0.065249, - "end_time": "2023-09-27T21:14:53.760819", + "duration": 0.043139, + "end_time": "2023-11-06T21:38:20.691968", "exception": false, - "start_time": "2023-09-27T21:14:53.695570", + "start_time": "2023-11-06T21:38:20.648829", "status": "completed" }, "tags": [] @@ -2277,7 +2248,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Cell specimen id = 1086610383\n" + "Cell specimen id = 1086615620\n" ] } ], @@ -2293,16 +2264,16 @@ "id": "9f08e303", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:53.818775Z", - "iopub.status.busy": "2023-09-27T21:14:53.817959Z", - "iopub.status.idle": "2023-09-27T21:14:54.790161Z", - "shell.execute_reply": "2023-09-27T21:14:54.789225Z" + "iopub.execute_input": "2023-11-06T21:38:20.729652Z", + "iopub.status.busy": "2023-11-06T21:38:20.729038Z", + "iopub.status.idle": "2023-11-06T21:38:21.321014Z", + "shell.execute_reply": "2023-11-06T21:38:21.320266Z" }, "papermill": { - "duration": 1.00311, - "end_time": "2023-09-27T21:14:54.792278", + "duration": 0.612341, + "end_time": "2023-11-06T21:38:21.322530", "exception": false, - "start_time": "2023-09-27T21:14:53.789168", + "start_time": "2023-11-06T21:38:20.710189", "status": "completed" }, "scrolled": false, @@ -2312,7 +2283,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -2321,7 +2292,7 @@ }, { "data": { - "image/png": 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LAAAAADQw2/1xaNY76/5MmDyjvksBYBEIWwAAoKTx7tnSeCsHAGry/rgpSZJh742t50oAWBTCFgAAWAZYThoAAKD+CFsAAAAAAAAqIGwBAAAAAACogLAFAACWCRYSAwAAqC/CFgAAAABooIo+TwHQKAhbAACgxF8zAAAAWHzCFgAAAAAAgAoIWwAAYJlQqO8CAAAAllvCFgAA+C9xBQAAAOUQtgAAAAAAAFRA2AIAAP9VNLcFAACAMghbAAAAAKCBKhbruwIAFoWwBQAAAAAAoALCFgAAWAYUfewVAJZJBaucAjQKwhYAAAAAAIAKCFsAAAAAAAAqIGwBAAAAAACogLAFAACWCfZsAYBlkW3ZABoHYQsAAAAAAEAFhC0AALAM8KlXFseU6bPquwQAAFimCFsAAACWI7cMez/rnHlfrn1iZH2XAgAAywxhCwAAwHLkfwe+kCQ5647h9VwJAAAsO4QtAAAAAADwFYVCfVdAYyJsAQAAAIAGyrZsUH+qpC0sBmELAAD8VzF+mQIAAL4ka2FxCFsAAOC/Cj47CgAA/JeZLSwOYQsAAAAANFD+1Av1x78/FoewBQAA/svMFgAAAMohbAEAAAAAAKiAsAUAAJYBRZNyAGCZ5P/i4f/bueqZPNn8x+lTeG2pj130H9wsRKMJW0aPHp1//OMfOf7447PlllumZcuWKRQK6devX32XBgAAAADAEnZ5s/OzUmFsrm32u/ouBeZTXd8FLKp//vOfOemkk+q7DAAAaJDsNwMAwPKiOrOWzkCFpTMMy4ZGE7a0a9cuO+ywQzbbbLNsttlmef7553PuuefWd1kAAAAAACyLfJ6JxdBowpbDDz88hx9+eOn7Dz74oB6rAQBgWdSYf5dqzLUDAAA0do1mzxYAAAAAAKgPRZ9uYiGELQAAALCMmjpjVv78wOt5YdT4+i4FKFPRX3ih/tizhcUgbAEAgJLG+9tUsRHXDiw5lw59O38Z/Fb2/uvj9V0KAFBH3hkzKX9+4PWMnzy9vkthLo1mz5a60KtXr1rPjRo1KqussspSrAYAAACWrNdHf17fJQAAdWzXCx/NtJmz8/anX+SvB21S3+XwX2a2AAAAAADAAjSkBf2mzZydJHnu3XH1XAlzW65mtrzzzju1nlvQrBcAAJYPjXkprmKD+vUPAKgrhULj/e8TWFIKS+m/fQuN+PcDlj4zWwAAAAAAACogbAEAAACABqpYNHsVvqoxz0hn2SVsAQCAZYC/wwAAwJIj+GRhhC0AAAAAAPAVDX3LJPlPwyJsAQAAAACArxBmsDj+H3v3HeZE8cYB/Lu5Tu+9995776CgqNgLduxiA8UfoFJs2FERC6iooAgCSu+993b0o3Nc4Y7rLfv7I5fcJtnd7Cabdvf9PI+PR+ok2Z2dmXfmnVB/F0Crixcvom3btrZ/Z2ZmAgC2bt2KChUq2G4fO3Ysxo4d6/PyEREREVHwExC8vSmBPUEiIiIiIiK/CZpgS15eHhISEpxuz83Ntbs9PT3dl8UiIiIiIgoIDLUQkZxAT39CREQULNjeJleCJthSp04dbkJERERERERERERFCkfDiEgJJ1UEFu7ZQkRERERUCLCfRURERERkLAYzSI+gWdlCRERERETKOOuViIiIiIoKX+21KORl4e/wd7Hd3AzALT55TwpeDLYQERERERERERERETmocG4J6ptOooPpJLLF2f4ujhPuuhFYmEaMiIiIiIiIiIiIiIKGCAGnr6d4/X0Ec47X34MKDwZbiIiIiIgKAZGJxIiIiAolbhlBJO/Hzee8/h48/0gPBluIiIiIiIiIiIgCFKdTEBEFBwZbiIiIiIjyiZy7RkRERERERG5gsIWIiIiIiIiokBIYQyYiIjJEIKbt5XU+sDDYQkRERERERERERERE5AEGW4iIiIiIiIgKKTHwJuESEREZgtc4fgeBhsEWIiIiIqJ8QgCmBiAiIiIiIqLAx2ALEREREVFhwGltREREhRIv8UTO/DFJiuciucJgCxERERERERERERGRAxHcgZ60Y7CFiIiIiIiIiIiIiIKGr4IgAmMtpAODLUREREREhQCzGhARERFRUSKyBUwBhsEWIiIiIiIiokKKM3KJiIiIfIPBFiIiIiIiIiIiIiIiIg8w2EJERERElE8I4lQEYvAWncgrcvLM2Hs+ETl5Zn8XhYjII1yhRuQ/PP1IDwZbiIiIiIiIqNAZ/88RjJixHVP+O+bvohARuSUC2SiFNE6oICIKEgy2EBERERERUaHz556LAIBftp/3c0mIiNxzIGIUDkU+jdCcFH8XhSgg+ToQycAnucJgCxERERFRPpGJAoiIiChARAnZAICSSSf8XBKiwOOr9L8i8/iRDgy2EBEREREVApxpR0RERERkLIGNbNKBwRYiIiIiIiIiIiIioiAj+miFD2nDYAsRERERERERERERkQoGNsgVBluIiIiIiIiICimBe1ERFQIc4CVyJPps1xYi7RhsISIiIiLKJ3JQkoiIiIiIggQnVQQWBluIiIiIiIiIiIiIKKgwzECBhsEWIiIiIiIiIiKigMVkSUREwYDBFiIiIiIiIiIiIiIiFWIAxj1FBmMDCoMtRERERERERIUUB2GIiIg8IDBZGWnHYAsRERERERERERERBQ3BR9MJGGohPRhsISIiIiIqBMRAzGtAREREZJDcPDOyc83+LgYRkSIGW4iIiIiIiIiIiCigDfhsI9pPWc2AC/mUqPA3kRwGW4iIiIiIiIgKKYEJUIiokIhJSEdKZi7Oxqf6uyhEAYPX+cDCYAsRERERUSHAmXZEREREVFSIPgoyMJRBejDYQkRERERkw+4UERERBRYzZ1QQyeKWhYDIKVcBhcEWIiIiIiIbdlaIiIgosGw9He/vIhARAJHRHXKBwRYiIiIiIiIiIqIAlZCW7e8iBBSOdxNRoGKwhYiIiIioMODIAxERERGRoUSBaYZJOwZbiIiIiIiCUHau2d9FICIiIh/gUC+RP2k8Ay/sAM5v825RKOAx2EJEREREFIS2n01wuIUrW0grETWE6+AxQ0QUHDixnshZhJDrk83hBcnqccV3y8kAZg0GZt8CZKd5vUwUuBhsISIiIiLKJwTx4HPwlpx87fmQJdgS8QreCp3n76IQERHpxuATWVXPOOnvIljkZBT8zWBLkcZgCxERERERUREyNuxPAMCzof/6uSTkExyUJAp6dcoX93cRAgq3qSOr7jcW+bsITkQeoEUagy1EREREREREREQBqnHlEv4uAlHRJZm0sO20YxpfizxzQYDl4o0M2cdQ0cBgCxERERFRIcA5dEREREREBpM0sp/9ba/Lh0sDL1T0MNhCRERERFQIMGMBERFR4cRrPBFRcGCwhYiIiIgoCHEbBiIiIiKiQMPoaFHGYAsRERERUaHAjh0REVFhxCu8Pa70IZ8SNExx0vIYKhIYbCEiIiIiKgTMIjt5REREVDiJjLBQAPPn8clTI7Aw2EJERERElE9kci4iIiIKMBxLtcdFBBTYeMYWZQy2EBERERERERERBSwO3hIFMp6hZMVgCxEREREREREREREFFx9EOQJ9IRVXegUWBlsoIF1MTMfcXReQnWv2d1GIiIiIggTn1BEREVHhxz0qKNDwmCSrUH8XgEhOn082IM8sIj4lCy/1b+jv4hARERGp2ngyDgv3XcKk21ugdLEw/xSCnTwiIiIiIv9i5KVI48oWCkh5ZkvFtP1sgp9LQkREROTao7N2YfGBK/h4ZbS/i0JERESFDcduiWQJAXhy+DrWovZ+SenZ+GTlCZyJS/VdgYo4BluIiIiIiAxyLTnT30UgIiIiIiIfEqVBnwDaROXtfw7j6/WnccuXm/1dlCKDwRYKaFx5R0RERL4UiLPjtArekhMRERGp4/gQyRF9sH29qDN44stYSySyVO/fe/4GAHBPbB9isIWIiIiIqDDgIAQRERERkc/5Ixj4VugfiI58HG3Mx3z/5qSIwRYiIiIiIoP4sp8VQBkKiIiIyKs4o4KI7D0b+h8A4AXzb4qPEXyw8ofsMdhCAU1kg4KIiIiIiIiIijCOjBD5j6B32YqPl7mohVM4Ocv3GGwhIiIiIjKIP/sznKRCRHI4zgJcupGO6WtP4UZatr+LQkQ+kpGdhxPXUvxdDPI6z9q/ZrOISzfS1R+k6ULKqy1ZMNhCRERERFQIMNRCRCRvxIxt+HT1Sbwx/6C/i0LkHl7kdbvt6y0Y/MUmrIuO9XdRKIC9Pv8geny0Hgv2XjLwVX0beBFUKgiGgHyPwRYKaP7YYIqI3PPB8uN47a8DEHniElEQEz3skviyBmR1S0SkTezNLADAtjMJfi4JERlBy2re09dTAQD/7L/i7eJQEPtn/2UAwPR1pzx6HbbLyYrBFiIiMsTMjWexcN9lnIxN9XdRiIiKJHbyiOyVQDpuN21DMWT6uyhERB7hJZ6IlKiubOGmLT4X6u8CEBFR4ZKTZ/Z3EYiIPBA8HRL2nYjUTQ+bjr4hB7E0rxOAEf4ujt+EmbPwauh8rM1r5++iEJGbGGzhd0D+U5Sa3EevJKNCiQhULhXp76IELa5sISIiIiKyKkq9KaJCrm+IZX+OoSG7/FwS/xqYOBejQ//BkogJ/i6K32lJPUSkxm8Ty3jo2hF0NNiY5pq0UD9KXB9v/ry+GNV9OROXiqFfbUHn99ca9IpFE4MtRERERESFAgcTiMhZteyz/i4CUaGwLjoWDf+3HHN2nPd3UYgon1oKLX8RhMArkxYHLyb5uwiFAoMtRERERESFAGduEhERec8Lv+8HAExYdMTPJSGuUqNAI22G+75JbswbMkWxMRhsoYDGyycREREREZEnOHpCFOwYXHAfNwgn3/PfMXf9Zibu/W47lhy8YikJD3+fY7CFiIgMxYnVRMFFFEWkZ+f6uxhERERERIbLYDu3UBMNCmx4Oo4hfbo/AxxTlh7HrphEvDzXshLPpKMwevZCImUMthAREREVYS/+sR/NJq7EmbhUfxelUPBlKi/HDhGD3URERK6Joohtp+NxPSXT30UhHzh8OdnfRSDyKmmPICkjx+4+k474CVfBGIPBFgpsHDQgIiLyqqWHrwIAft0W49+CEBGRV7BLRWRv/YnrePDHnejy/lpdz2MqL//i3nRESpTPDZOeaAsZgsEWIiIyFDshRBTUPOzIMy84kTa7YxLx4fJoZOXm+bsoRLI4sFt4bToZDwAwB9NPHExlDTBMjURaeNqEtx8H8f0Ju+NsAlYfi3W6dil9rJTMHGw+FYe8oKoIg0OovwtARERERFRY+HJwzjG4zXFBCib3fLcdAFAyMhQv9G3g59JQUaG1npyzPQbT153G7091RsPKJb1bKAoaHLQnCkTGNIA9b0f7r34QANz//Q4AQL2KxTU954EfduDI5Zt4c0gTPNenvuV1OGnMEFzZQgGNM+SJiIh8g41rIvKHc/Fp/i4CkZMJi4/iekoW/vfPEX8XhQgAx0Y8we+OPKahnyQ9ynzdqxIk7342zr5dpdTHO3L5JgBg4b5L3itYEcVgCxERERGRgh82nUVOntnfxZDlOMOW8TIiImPlcclgocTrZdHCFUlE2vBMMQaDLURERERE+QSH2Y9Tlx3HL9ti/FMYnTgmSMGIxy0FMg48kRRXSBAFrmWHr+KJn3cjKT3b30XxOcf+i/195GsMthARERERqTh65aa/i6CJyN4UERFR4cTINAAgDLmIQDa/DiqQfyw8//s+rIu+jk9XnXTzZTw7qHxxTGZk5+Gb9adxMjZF83OkK/kOXEzCuIWHkZgmH5Ay88QyRKi/C0Akp5VwBkNDdmCL+Ql/F4WIiIiKEJHzv4iIiEiGX9NRMfcZAGBbxEsoh5uIzj0BoLS/i0MBKD41y/gX1RmEOHQxCSfSrmFQ8yqGFuPFP/ZhbfR1TFt5AjEfDtX9/Du+2QoAuJmZI3v/jA1nPCofWTDYQgFpScQEAEDN1BAAA/xbGCLShZMhiKiwEYOlYguSYhJJMS0PEflaMO7hwZrS8h1UFJIBAOE3YwBU9mdxKGDYnx3+W51RUK9MWXocsYjFpjF9Uat8McPeYW30dUNe58z1VNnbo69pXzFDyphGjAJazdzz/i4CERERUVDgQIxxbmbm4PW/DmLzqTh/F4XIAME3sEwUiBgcDhxc6ENKzF44Td19yavJGYaWQ5FKAevmncPq8DEYbNolez/PJeMx2EJERERELv25+wK2nYn3dzECni+HYZw7RxwEMspnq05iwb5LeOQn+Y4pEQUn1pIUtIJllS2Rn/ltRbrM+wbCWTs+/WM0NF3GzPAv/F2UIoNpxIiIyFCB0KAgImOcjUvFxRsZKBMVhjcXHAYAt/IDEwWbSzeMn4n46aoTSM7IwaThLQx/7aDGhgMFMM74LZz4uwY/0RvLF6hQ8N+hIUr+slQyvov7KL9RlKjepmUc13gMtlBg40lPRETkN/0+3QgAGNWrnp9LEjz8OX5TFDtLiw9cxr8Hr+KL+9ugRETgdm3MZhHT150GADzZoy5qly/u5xIRFU3ZuWZ/F8EnRFGEwIiC4YJxrxeiwk50OC+9smeLm/Vp0Oz7SIZiGjEiIiIiUnX0SrK/i+BX7Cb5Tp5ZxPWbmZofP3reAaw5HovvNpwxtBxGj1FKj6GcvKIx2KsZxy6JDLXs8FV0nLoGO88m+LsoREFNFEU89csevDx3v7+LUiSZzSJe+H0fPl11Qt/z3Gy4a4+LyD9Q7vm+6kMIimXSXlYyDoMtRERERMSUGgbxZd+lMHaUHpu9C53eX4sdOgcJb6Rne6lERFQUPRCyFn+Fv4fi5hR/F0W353/fh/jUbDwyy/09p5LTcwwsUeEhwoyGwiUIYNA8mIhuts4uJ2VgzfFYLDl4BZk5eQaXilzZc/4Glh6+alsZrMQx0GD2Qh6xtKxc29+Phax0+XhrmaxtdcVVleY8IMt715nNp+KdVv6Q9zHYQgGuEI4iEBERBaDCOHBf1BSGVAWbT8UDAObsOK/red745FHQvsJGj0LwMxmL3wcFoA/CfkIn0wmMSJ3n76K4zd0Bx89Xn0TrSavw995LBpco+L0o/I3VEWMxKfRnn783rx32lGbyG4nfuX9l5RYEuGZuPINF+y9rep430ogtPXTV9veTIctlHyPKzFzLNZtxMTEdjcYvx0tyK6RmDQE+qAEkX/bogBMg4t6Q9Rhssg+yn4xNkQ21pGQWBNQ54c54DLYQEZEhTDAjDLmuH0hERIaISL/i7yIUWvUzj+B45BN4L3S2Ia/HfqxFYQgIUtES6WJj4cLoy7WnAAD/++ewn0viPe7WyS+aFgAAHgldY1xhSDN3LyHu7rXDS5Z/Sb//D5ZH45U/D/itLIlp7q2gfmz2bgybvgUA8O/BK86pZC/lB0e+6w580hC4oW+ykVVVxOHjsB8wM/wLu9sdj+EOQjQ+DP0eacnxbr0PacNgCxERGWJN+BvYF/EMkOudmcAUPPaeT8Qr8/br2neB/I+zmjzTVjiF10P/Qpjou3RWxZLt0ypwUMA4dyTOAgA8Grra8Nf+Y9cFrwcdVh69hpfm7kdqVuBMglh84DI6Tl2LfRdu+LsoFCAyc/IwZ3sMLiam+7soRAGPl3h7TI1UuOTmmXH0SrJXUoBp5a2mWXJGwSqSuJQs299T/jtW8KCMG0BaHLB+qlvvUQLyEwOyHYI7f0dMwv2hGzA+9De33oe0YbCFiIgMUc90DSWFDEQmnfJ3UcjPRszYjkUHruDNBYf8XRSX1h6PRc+P12FPTKK/ixLQ3J0RWJT8E/EOXgpdhCHJ8/1dlEJB7xEXTIGm2VtjsOLINa++xzNz9uLfg1cwY4N6nnNfGj3vAOJTszDq1z12twfRTxe8AjSa/sWaU5iw+CgGfLbR30VRJP3mUjJzsOlkHHIdZyYHqFw/DlqS8XyRNovIX95aeBhDv9qCr9bZjyXUFy4jElkKz5Ln7TahIOjbjF7Jj1vOaXpc9LWbiE/V9x1Y5ebJ71hU2xTr1uuRNgy2EBERkVecTwj8mapP/rIHFxMz8PBPO/1dlIC25XTRXmqu1nf6bPVJPPnzbtu/q+Vc8EGJyNtcDU2Looibmdo3kHY8hE7E+mbTbekMykDBAeDgcvBiEkbP248rScan09p2xnJtyVLaODjAjJy1CyNn7cI368/4uyhUBAXTpAJfYPCpcLHuEfX1uoJJIqWvbcXaiDFYGv62T8oQiPMSTl9PwZAvNqPDFPdSF5pFke0uP2CwhagIS07PwVdrT+F8Qpq/i0IBThRFzTM1eCmnYJSZExwDPVTgYmI6xi08jNPXU/1ajq/WnsLa6Ot+evcA7BX6ia87yOMXHUGrd1dha4AHIgNxcM5bZbqSlBFwKw5y88zIzg8k7D2fiKNXkv1SDk++8uHfbMXiA1cwep7Mxr5FzP4LSQCA+Xsv+rcgPhKIA48UvPT0J43GYxnOe4V4wYlrKfh01Qm7zdc9UTlmCQCgvumqi0cGBunR7XYw0OEc2R2jnHpVaRKEADO6mo6iJNIVS8FgpXcx2EKG2X/hBl778wBimaM/aLy96DA+W30Sw77a4u+iUAAzm0XcNWMbHv5pp7YGshev22fiUvHB8uNIcHMZLZESdsKCz9O/7sHcXRdw93fbDH3d0BBPDwY/5pr22zv7n9HjN65ywf++07KC6bPVJ4194yLAsS1hxODbttPx6PbhOjzy0y6PX8sooiii97QNaD95Na7fzMSIGdsxNIjb3OfiOTmLXPt+0xnc8uVmJKXL71+26ug19Pp4PfZr2LspMS0bMzee8coegGz3KTObReR5YSb807/uxS1fbvYsKO7m9SIQJx740qqj19Dwf8ttq0e8ZfAXmzB93Wm8vyzaa++RmZPndJtj4EA+cZZraseJ2aFdmJXrXA5fT4Lq9uE62dsfDlmDueFT8Xf4uzz4/YTBFjLMnd9uw8L9lzHm78DP0U8Wu85Z9ihICaDNUynwXE7KwP4LSdh6OsHvs/9v/XIzZm48a9heIDczc2QbbGSMot60S07PQUZ24Ty+1h6PxbLD/p1lFn3NkoYpKd2Y2XNWJlMQN4/ZoTKMt2f8FaV9kH7dHoPhXxcEGbzxzf628zwAYPvZBC+8untyzSIuJ2UgJSsXe84XDCyLomhYSq5xCw/h9q+32FbPeBOrF9Li/WXROH71Jr7beFb2/lFz9uJCYjoel6TfVPLy3P34YHk0Rs4KnCCqP0knAfyz/xIe+Wknkg1uA4miiDu+3Yr+n27weKVgUno2YiRB2jXHYxF9LQUHLyV5WEor9UrJiEC+u4P2gWbUnL0AgDfmHzTk9URRxDfrT2O9wsruQ4b9xs7u+36Hc3m89m7KbzLSS5M7dsckenzs3hliaXM1Nl2CCPbJ/SGIe5MUqGI464mo0NIyC8ybnXFrTu8DF5M8fq3kjBy0encVunyw1nZbdq4ZI2Zsw+T/jgGwNCRPxaYEXFoSCnwpmTloPWkVWr670t9F0Uzr4G9unhlP/rIHz/++D4lp8jNXiXwvuLqSng7g5JnFoJksMHHxURy8JEmf5fDRBQOmmAdTIOCjFSfQ7cN1+HGz/GC0HnN3XcShS8nYdDLOxSMLvuNDl5JwNs6/6ReNtvf8Dbwybz8zLLghNSvXK6mdXAUAk9JzXD7Gul+cdXKFkYyod+SIouj2RtZ6vPrnQWw+Fe+0mbinzCJw6FIyYhLScT7Rs70X20xajT6fbMBFD1/HE42FC3g4ZDVCEBzXSyNpXZ2Unp0Ls86VTBtPxmHayhOagqaekFtlfFBlHOD5kEXYFD4aZfLsJ17kmUXcO3M7xi30YMKmQ1F25k9cltJSlbqqei4lZWDN8YIglqc1lZaJfydjU/HN+tMuH0faMdhCumRk5wXkRpvkf/LLKIkCl3XGjXRW/LroWOw9fwM/bTkHAPht5wUM/HwTXppb+POUx6dm+X3vC38yust9In9goDBuSJgn6UkYlZM50On5FeVWRMSlZPktT7k3iKKIN+YfxKR/j3ntPbw1EKaVqzRiVv4q5a1fbkaziSuQZvDq5EX7L+OpX/YY/rpSjmdCYTo3tPhuo2Vz9SlLjxv2mnkuvkNpvXT711vR79ONut8jkNMujZixDYsOXFGdtV0aqRhu2oJIZOGPnRfw247zPiyh8fQOjsqJiU9Di3dW4rHZ8gOm3l6B58/fwFt7lk5ZehwdpqzBwn3K6ZqOXE52a3WbXF2ZnBH47TDHSXKeVPl6JiqIIrAy4i1MCZuNoWb5dEuF1b4LN9Bs4grMyu/TKrmSlIFmE1fikVk7sf/CDc370F1NVg9sG3ZZl7zQkyHLMNC0R/Zhl25k4FRsCsaG/YVapjiMSPnd7v49MYnYdS4Rc3d5sN+Wps9k/yABygFlpXP3zpCt+PeAcenefnRxDFhNW3nC9ncb4TSqw9UkDlLDYAvp0nHqGnScusYreVMpeK05FovG41dg9lZtFXlhMXvrObw8d79Xctr6yqFLSZix4YyhG+YFcmfclZw8+99yZv6AyPIj1/xRHJ/qMGUNBny20dDZZ8F0KATxaWwIk0pnoKgRHHqIf4ZPQlSe+7Nq5+66gI5T1+CZOXtxMtb42blSnh7G66Jj8daCQy5XTJxPSMffey9h1tZzhgz4FUWeDmKeiE2BWbQMqBjB+ju+8ucBrDkei5mbPF91oaSoBVeA4Fp5oyQYPsP5BOU2zC/hH+LL8G/xbugvePufwxi/6IimgepA3ET4QkI62k5ejc893DPqzz2WgceNLldGeUdsirFjCrl5Zoyetx+/bo9RfdzqY7FYeTTW0PcGLKt5rBO23l8mH0w9n5CGYdO3KO61YARfr3q8dCMdi/ZfxrcbTmPyf8d8uOrZxXU0r6AcnczGpM/yhmNXbuLSDWNX/4yZfxBZuWZM+k99Usw/+y8DALaeTsCd327DQz/uxHWDz0ujTAj7DT+EfyZ7nygCt3612fZvx36NqwkJRpEGA2sKcTgYMQqvhf5l95jLNyyB1psq159amQV1+/8WHXGjHPbnRhS0n5P1hctYFDERWyNH635fKsBgC+mSmj/LbXeMMR07VwKxcUvORs+zzPp/z4szXAPJzcwcvDR3P9779xiWHLyCVUeDdyD+9q+34qMV0fgjf6NfV+TaKaIo+iGVUDAN4weXQ9JUL/lEUXRrVWOw1eAnvJCmIhh8GPo9dkc8h6hc599eTjAMuBmpsykaAxP/0Px4xw7OO4uPAgBWHYvFoM83IT3bdysG9Hri5z2Yt/uianqjmPg0vDh3n+3fwRxg96VADjB8seYkWr23CmckqaWUNrc2Qo5ZxMoAaTvdSMvGnd9uxRwXg7PuCIZTIys3DyuPXsPNAF+leOzKTXy66oTLFVdqs97bmCz12u0h2223ubvXjb9P549WRiM5Iwdfrj1l6IQpI/nj2rDi6DUsPnAFE/Ovu3L2nk/E07/Kz4731A+Sa2d8qnwdeviyc1vr9PUU9P1kg+pqGEB9cNbqg2XH0WTCCuyJcU5x5C09PlqPV/48gI9XnMBPW86h3eTVdvc7rWY07J1d7NmSV/B9FRNdBxBib2bir90XFYNV3jimryVn4tavNqPHR+uNf3E3Xb/peSYbT35jd79n6aRJQRRx4loKPlh23LD2jOLYpFn+eHkj7C+UEtLxcugiu9vv/m67y4CWdEWMERN7ywras1e0Erw32aYoYbCFDGfkRShwu6Xkyo20bLwyb7/mpajB5Ms1p/DvwSu2f6d6MdWGr0hzIZ9PSMMumRykSp7/fZ99o9rfPVDyiFnm9xu/6Ag6Tl2D/w5dkXlG4XGtCKzaFEURr8zbj2kro2233R+6AeWFFLSJ/9ePJTOO2SxiwqIj+HO3tiCyowyZTnaEWXu6D1cTRW54uJltSmYOfttxHvGpWRDdaHQduZzschBGLT3EEz/vxpHLN3W/b9ApJFEkLVfkL9acQmpWLqatKEgh4e6lXEtu8OxcM57J36wX8G97/5v1p7H/QhImqAzOGuFykv/2LFDz4fJoPDNnL550yLvvzaCwO279ajOmrzuNT1adcP1gHQrD5tfP/77P9YMU+LqWc0w7HROfhuhrxl1PUjJdH7dy1y+jUqLuORuLFsJZ1dRBct6Yfwjn4tPw2l/qqy+WHLqCvefVJ71aVyV+vMK9c0VpYkB6dq7bwUm98swiftpyDkdkAlPu0jKJd+hXWzB2wSG7FWPe7taeuu6diV7SYgfbCmR3vvM7QraiGOzbroO/2ISZm86qBl89dmQBMKUyEL00/wZtterxqymqn1PrpPNwuF93FY5WbuBisIUCDjeiLhw+WH4ciw5cwUM/7vR3UQznOCAbXM0X13pP24B7Z27HKZl0N3JjT3pTbOXmmbHvwg2PZuIZMQYml8KlkIyteUQu2PJ7/sqnTyS5XG+kZQfkRrRZuXm2GUB5Zsu+Er/v1JYT3PHnPxOXimkro3GjEG0Cf/hyMhYduIJv1p9xuu9mhmUQ31X6iUA/TzaejMOcHefx5oLDbj0/T6ZS92SlbbZDXXfi2k2PVjm8tcCS/ubRWbt0d5Rmbz2HYdO34O7vtru9IvFsvHfy3AP2A3HLD1/1eto1tdmCwbi62tPVM9KBZ3cGob/beAZNJ67w6orf/w5dwXO/7bVNdBFFEVP+O+Z2us90H6XbeX9ZtOsHeZHSHkR/77HMpJdmLfhn/yU0m7gyINMDH71iGShPSM2S3XND0+bEOo9tue/O39dB6duvPmZ8Oix3qZVl7XFL2mmplUdjMeSLzT5ZWZWbZ1ZMlXv3jO2yt+t1d8y7+C9iPJ4LWaLreXrSfjm2aX1xKGZk56HZxJXo8sFaH7wb8Ofui5j83zEMm75F5l73rnNazvv4VMuKjnXR1+1urytcRUXcCNr5hNvOJCje5626zNerecOEPEwN+0n2viOXkxGWHou+pv0ARCRn5LhcJTl31wX0+2QDLiikprQdT38/AZhzgHkPWv7t5Y/91C8Fq/IaCxdwMvJR774huY3BFnLp4xXReGfxEZ9UmCdjU9B04grXDwwy6dm5WHs81vD8qZP+PYYPlhu3uaaRLt3Qt+lfMO97kmcWA7b8ZrPo9uzEY1e9M3P545UncNe32/CWmwOh3qRWzWXnmnHHN1vx7hLvzn71N7lgi5y2k1ej8/tr/ZJ6ZNuZeNmZkOnZuWj5zioMzc/Zu+roNfy99xL+94/+XLcAMOSLTfhm/Rm0nbwaV5Pt6zRXs8RmSQapFh+4bOvA+ZvarMSTsSkYv+gIpq87pfoagd7Z9MZmse62gRyPG8CSquvrdafdLsvyI1cBFAw62lEp57ErN+3Sfaodk74eSDwZm4LMnDy74ueaRQz6fJPm11D66PP3XMTcXc6rnJLSs9H5/bV43cVMYlf8Pehq9c3602g/ZQ1iPAiGSb9Ddw75D5dbAgpjFxzS+o6IUMkjLjcB68U/9mP5kWv4boMlYLzvQpLi5q9yk0YcSX++rh+stW1eH8wuJ2Xgrm+3Yumhq249/9U/LeeEP9MDm80ixi86jHky5y4AtJ+yBr2nbXDaR9Qb1ydvBV7PxqXi0Vm7fJruyUgXE9MxYdERW51z5HKyanquV+YdULzPnVS1ej3+8270/Hi9XUCotXAapZGKE7Ep2HDiuseB4qEhuwAAT4cu0/U8wYMLieJTDbw2WSc+GJU22tV5euxqwYqWa8mZbk/QM+LMNaXHY33E69gd+YIBr+Y70p9fbsW2VXqWb/f30UvPCu47Q7bK3yEA7f/pjdnh03C7aRtav7cKzd9Zqfpa4xYextn4NLz7r6XfL4qiyz7ypRvp6PvphoKye3ASbj4VLzupcc3xgvrr5dCFbr++mg4mz/YCIwsGW0jV0SvJ+HbDGfyy/Tzm7CiYRfHr9hgM/nyT4bOaP1oe7bRBdWHw6p8H8OQve/DG/IPYeTYBeWYRyek5Hi3pvJ6SiVlbz2HmxrO4npKJR2ftwl/5mxwGAj1txrXHY9FkwnIsyt+gTY/k9BzM3nrOpwOZjqnRxi08jIGfb0TszUwsPnA5oHInP/DDDjSbuNKtc9XdDqurp32fv7x9gYu8xIFmXfR1HLiYhJ+3xeQPCha+ugoAzA6Hr6tNU5Vm/ADemdW0+MBlPPjDTgz5omATxJTMHHy/6QwWH7iC7DyzLS2elkBQHeEqXgn9G6XgnMtWej0aPfeA7e8NJ66jxbsr8d+hKzh4MQl9pq2366Anp+dg2eGCf4+edwB3fbtN1+f0p1lbYjQ/1tNNvr3B14Pfn4Z9iyXh/5O9b+tp+dmE01WCLUsPXcWQLzbZ7Z9hhDgvXSfdPc1z88zYcioeiw9cxqDPN2HEDOPPkcycPIz5+xDGLTzstEJt6eGriE/NUrwWedJJBnyftmPayhNITMt2moTz995LyMjOw1+7L+ra9NYXpf849HuciHwMlTOdgyWnr6eiyYQViptMJ6RZjme1PQwGagjWSeuLq8mZtoBRsJGehxMWHcG+C0l44Q/300v5itJZtuHkdfy24wLeWqg+Mee4n/ZaM6J588ycvdh4Mg53f2fMqgp3eHK9fPzn3Ziz4zzu/34HAMs56+57GdVcVPs4m09Z+m9b8vtx3U2HsThiIjZHvAIAeGz2boyas9fr+1DKfVY9P8Pa49dx17cKg8puvqbL1zLgxZIlKVT19A+6fLAW3T5cJ/8cHa+TneteUCHshvoEJO3v753xgctJGfhx81mnVHjSb0bp+zabRczc5DzB4OV5+21tmKzcPFxJ0jeJ1lN2x5sB4xECAJPZ8v30DtE6GcTC+rv1mrbeLjlgdSEBzQX7tos0A4TlfT2r2F76Y7/PUvdJPRTqmxVshR2DLaRKOjv0560xtr93nkvEidgUTMuvUNwdUBNFEUcuJwdcXmCjrTxqiUD/d+gq7vt+B1776wBaT1rlUYqtXMkg4HcbzmLjyTiM/VvfxUNNSmYO9l244fZvq2cA7slf9iAnT8Qrfx7Q/T6j/7RsVP/Y7F26n+uOm5k5SJLJt382Lg29p63H6HkH8NHyaMzYcMauYRITn4a3FhzyaMapO3bm771ind2YnJ6Dx2bvwuIDrgNbcilEvJGewV/kOg5qnQnp6qUmE1bgZZUZesEsz+FHfnRWwbklN/PO1zGn0TLf+6R/j+H9ZdEY52JQRs6K8LfwSuhCTAmbrfq4k5Kcyo/N3o307Dy8+Md+PPnLHsQkpGOUZP8Bx5zkAHBBIXWF0WJvZmLcwsM4ftWSqmrurgs4cDFJ12uozYBzJELE5aSMoAw+bj0dr6kudGVEyBa0MjkPFl9LzsQb8/Wvmnjhj32IvpbiMne7Xo5nr3quaO9HrL5efxoP/7TTdk7LrtTRQe7z5ErqbcfjOteLk3uS03PQ6f21qP/2Mny0Ilr2/PBWUFDut3t/2XGMXXAI9+gY1PXklNb63HtDNwIA+iX+6XTf52tOItcs2iZoKL2Hp3tuKB3rCalZ2H4mwSd123WHyTpzd11we88pQOfqPsnH3x2TiCn/+XY1i9K3K9fWlhN44X7t1PbGcsWTlRD63kf5PmtwxZpe2dW5qF5m37chBpgswchSgn37TMsm9K5o7Qs98tNO3fvFJGfkYN+FJNdl0HmI5JktG4rrkZmTh1u/3Oz6gQDWn7ju+kEK4lKybNdzPVVyoLRM955PRKPxy/HFGuNXDAz/eiumLD2Od5co191K38O/h67ITnQ+G5eG7Wctk4Vu+XIzun24DkevaNs/p65wFc+GLEGkqB6gOXI5GX/tvih7jTX6smtEfXkx0fnzLI2wn2hl9PG2K8Zy3LhDOmHohZBFBpWI9Aj1dwEosGVJIqlyObqzcs3IzjXj9q8L8mnqqcqWH7mG53/fh8aVS2Llq718dkGcseEMSkeF4cHOtXz0jvYWH7BsMm29iGmVlpWLNxccwq0tq6J1zTK2272RMuX2r7fiXHwaKpSIwJIXu6NamShdz/fVzOINJyyz7uU2OxRF0fDOiFoDPDPHcr5Y01n8tuM8tr7VDwDw4A87cCU5E/N2X8RtrathyvAWSMvORaWSEQgN8V3c+6t1p7DhRBw2nIjD8DbVbbfLfU1BOHaqiSiKTnsoaOH4Hf178AqmP9DWoFL5z7xdF+zrEJ2/u1rn2t3zz2wWkSeKCHNxbizYewlta5WRzUWsdVZ5pGD57O1Mp3BOpbhKd2XITRbw4+jPK/MOYPvZBMzddQGzH+9oC0DFfDjUsPeQ/qxztp/Hj1vO4aHOtXA1ORMd65TDc33qIzMnD5FhIaqvM3/PRYz5+xD6NamEbx5sh6hw9cdrL5+2H8A64aFF9dKoX7FEwfM9bI1cz0+HMm2lyua0GoqYLsknLYoiftkWgyZVS6k+R67kSenZ+HHzOdseF/6UmpWLFUeuYUDTSvhzt29X4/rykjZv9wXbitsZG85gULPKaFm9tA9LYG/VMctKu/MqKxGBwBmY0kJryktXlKqL3tM2IDUrFzMfaY/Bzas43Z+alYuJi49gWKuq6NekskdlGPLlZiSmZePSjQw83KW2rd6+rXU1FAvX3l1fcvAKktKz9QWIJA/VE4zTKy4lCxVKhHveLnf4aMev3kSvRhUNez05ctcEdz5GXEoWLidloE1+Hy6YA0XnZMYFHA87x88XKCkXXdFTt+TmmT3qx20+FY8ZG8545btRCiRn55oRHupc5neXHMWcHefxQt/6ml9r1bFYt9JOu/qGPVnEci4+DY/N3oVne9fH3a3K6S6b/Xsac515Jz8F9RdrTuGVAY0MeU0ra1tjy+mCTASLD1zG2biCc/SgwqSrU7HKq9Gs6e+tr7Ps8FU0r+a6HbM+4nUAwKKMVACDne6PvZmJjOw823485YqHY0Az+Wvo6espiHB74q/S8yR70zmNFYkQRRHrJXv2eDKho62gvCrqpT/2Yc6TndFAcD/Th9oKbOnnHxP2l9vvQe7jyhZSddzFxVMAsONsgi1li14L91lmlJ5Qyqns4fUtKT0b1xxmDUVfu4mPVkTj7X8OI88s4odNZ12mydEiO9eM4V9vwfhF3tuHYuams/jv0FU8/7t9WgB3G2jSBsSDP+ywy4tsbUTHp2ap5t91tGCv/1NDJaRmYcHeS+gwZQ3+2On+zEBPXZasbLkiOQ7/PXgFw7/Zgm4frsNtX7teBm6kG+nal8a7nUZM8rwVR67h+d/3+mVfDyXP/bYPjcevsEunYjaL2HgyDgmpyt+PY12ilVpauWNXbtodJ3r9d+gKvlxzSrEzsOtcIvpMW69ax7218DA+0Jg2xVrVSPPoeyMod+eMbWg/ebXLfa5en38Q/T7dKPv5h3y5yW5WuyuuBtiVBog8+fiOaY2MIO30nlbpRAHygyVaSL9ua3D5950XsC76Oj5aEY35ey6iyYQV+NvF9WBM/mrMddHXPd4nITMnD/N2XXDrPDU6JaoAESmZOapBXb1pATadise7/x6zpWspeDOH41LmgPzfP0fw9frT+HlbjOpTvem7jWcw9KvNeO63vXhj/kFd7QqtXH2exNRsTP7vGLadjtc4gKLtC9odcwNvLThkF8xyfPWUzFxDAxlye1YZwX7Dcd+FXrQEOLNy8+z2QPJ22iHr77k+Wn429jfrT2Phvst44uc92HYm3uVmu2qsaYvWRV9HluS6l5Or70O+PHc/Ji4+igsyM3D96b9DV9Bx6hqMX+S8f5qn1dAHy6Nx+rq+fqj0eOvx0XrsOuebPVM6Tl2DO77ZWrDa1IMPr+epMzacQb9PNxiWcjnPLKLvJxt0P0+tzLlm0fBVZJduuAoue96ua/7OSoz927NVqCmZuXbXL1EUFScMyQb+8j9HckYO/tlf0O4yyYz0vf3PYTQav1y2/WdNGf/Neuf2mGP5rHyZLlN20Fvmwj9x8RGcT0jHuIWHPbpOTFx8BD0+Wo/0bM/TOOktR1ZuHjaejFPtB206GYcHJG1C6Xs4ZgH4doP+NranP23zXPkUoJ3fX4s+kvpDbhww1yyizltLMeCzTdimkI5325l42dvluEpxuO/CDdwdshG7I55H2ZvH8eTPOyHA8989XFD+/W5m5uL9Zcfxb/h42ft9kSkkWLKRBCsGW0iVljQSjqdoTEK63SDm7phEPDZ7l+wmsa6aM3IVwMaTcU57ZihpM2k1unyw1i5H6D/7ClKGbD0dj6nLjtulyXHXhhPXcfBSMn7boW9w/0ZatubN1aWbB0obOu621eMlA8vbziQo5kXWk9rj9fkHkZtndnvmmp584nJSMnPQfsoavD7/IBLSsvH2P54Hv0RRxIfLo7H4wGXDOvcx+bNLXQU0tcjNM2vvoOgo/+vzDzotd9b2s1reJDEtG8/+thfLDl/D9LXG5Lu1ikvJcjun8or8vTUW7C2oCxYfvIxHZ+2yzTyykgZKJrmRWuPrdafQ8H/LZTc/vZyUgVu/2ozuH65TfP76E9cVN4cFLBsFf77mJHbH3JC9//7vtyMmIV1XHadlBo81NaLl8Sqv5eYJc/BiEm5m5mL/hSTsOpeItZLNALU6GZtq17h21dAGLKvT5FKAAcbPQJ22MhptJ6/GQi/uXeTqfHUcLDGq0W0Norwx/6DmIIp8G0G7R37aibcWHsaw6ZvtfistQQ0tbR25R+TmmRXLnaZhw9GMbPXHSH+NC5JBcL3X130X5OuHtKxcXefoh8ujUeetpbreW/rco1du2nLmK9VZK2U2JxZFUVPA3tVHGfP3Qfy05Rwe/HGn4qojURQlK/20fzfzdl/EF6sLrpeO7TojAlu7YxKx6WQcziek2e1ZZaSTkgCt9fuct+sCfpPs2+gNF2+4Pv9v+XIzun5QcL20fsOetsuicpOxKHw8RobIb5ar9NtJA7sP/rATD//knBp4s4b+iuMG71qdi09TrN90pUHyQdD14xWW8+13mQlQRlx1tKRUUpKdZ8a9M9VX9MgNymvtu8nZqTOzgaev+dGKaJyNS8M36533CnMnZaTSHqGuzkW1a9eQLzajzaTVmLHhjOK1Ua78jr6U9Dfum7lD5ZHK9NQpWblm/LVHXzvO8eUd292Pzt6NW7/abDexSYvnftuLV/8sCPzI/bbWSYjfy+zToZXW70faT7OsIACeC1mC90Jny77I6euptiC35p9A5nWy7OpF9yu4X7efx+WkDGw46X76MyWiKCItKxffbTwjm7rtncVH8eisXXhdJZ3syFm7dGdJ0VtG+38X/D35v2NO+5PIvILtL7NZ9KjOlPPgD+rp+ONStI0TxN7MxF3fbsMnYTNRUUjG12FfYW3461gePg6W2t97F8n9F5IQJXh3jyjyHwZbSJWrzqEgyA+mDZJsSHnPd9ux4UScXQdJ8fVc3J+ckYNHZ+3CQz/u1DUr9LRkk1lpabUM7mTm5NkFa+Tk5Jnx3r/u5ThuO3k17v5OfVPYnWcTsPf8Dfg7wcPiA5fxxvyDLr97T0o5fa18QzolM8fl3j4fr4hGy3dXefDu8jadisd3G89g9LwDuvYy8IW0rFx0mLoGj87eDcCyEmnLKedZu7tlBvu1+GKNfZCk49Q1aDR+OdYccz34PSt/xrulXNoaEnrO6zcXGLdH0Zrj8g3pLA83pftklWXwzXE258aTcapBFqvHZ+/GWwsPu8yhnKAwW1Harl0XbfnNzGYRhy4lebThXpqOfbZupGXr6jD+e/CK7W8RIu6duR1P/rIH15IzPSqzlhmdT/+6B+0nr/HJ/grWmYPvLD7q4pHaZObkYc72GJdpJd39HCaY8XHoTDwQom/TxA+XRyPPLOLJn3fj89XKuapz8kRMWHQEqyV1y7tLjuKhH3cgL3/G6/w9FxVzRlsH7x3rmjs1bCL7995LGLfwsO6O4EM/7lRs2wiC6zZN04krFFM7yL6gBnLBUqV9Ae78dhvqjlsmOynB8e0SUrMUA2d/7bmIQZ9vxMX8fYl+23Eedd5ait7T1uPpX/foGtSR25Pp5XkH0OrdVTh0KQmApWPc75MN+HGz/F4eSqSrsB1neZrNIradiUfdccvQ+r1VLn8XuZRslyQBA8dgjpbO+trjsfhoRbTdTOHsXDPe/PsQ/jt0Bfd8tx0jZ+1ySr+29NBVu/3g5A6V2Jv6Z7SLoiUg+NbCwxi/6AiSdKyMNYTDoSxNiQJYymc2i7IDf6eUVszL6B37C9qYzmJS2C8Kj9B27u2XDPgvPnAZz/++F4/nt83UDP+moI5KTMvGeQ37e605Fou+n2zAQz/KDyZ7uo+NEqVXTcvKxfYzCYp1qLQ8yw9f1fx+TYXzKA+HOt/Fz+HuJA/V1WIy7+nJfivWEpoMbFjc57jqUcbsrTFOq4Bc9vVh+U6l7bjPFK7lrvppWvr5H62ItguYSKmm5swn/V3cXznu+/629Bqx6WQcoq+l4PhVfSu25FLq7jibgDNxjpONRLv6dPGBy2g/ebVCuZyJ0HaejZxlPxj+247zeDNsHh4NXY2oRMuqh0OXktD/0w34bNUJDPhsI1q8Ix/0BiSD/TrOcWndIzeh6Ped53HLl5udgt7pCgE/PdWL2SxiT0wiUrNynVaoPPLTLjR/ZyU+XB6NKUudV4DMy7/OL9VRX2rjEEDRcaxbH3ktORM/bTmHBI2THkVRxJ3fbsXAzze6FXDx5GysiBvoajqq+Cr7LtxwSq9aXYhHXVMsmpguojgsx4WnE8IcDTXtwJ/hk1AmTz1YZoIZ40PnYKBJ/2pwrlrxPwZbSJWWJqDc7E2lTQ1dpYRxrBJy8sx2jTvpBnK5Zs+X9sl1fnfHJOIvSUe2x0fr0HrSKtVZ9L/vOO9RKqD9KjOykjNycN/3OzBixjbFzVx9lQpk9LwD+HvvJfy15yIOXkzCs3P2uj0jT4lc2p/MnDy0fHcVmk1cqdq4c2eJrFWeWcTxqzdll0NLB7KlgcRAsOlkHJLSc7ApP01Uz4/W4+GfdmL5EfvZwas0BEeUSI/9lMxcZOea8ZRKCpi955MAyDfgHH+/D5dHY8URS0Py9b8OounEFbgicy5l5uQ5nYPWNAzbTsejy/trbcEErUwwY3rYV3guZIliXWfUqeX4mfSupjMizdETP1t+sxkbz+D2r7fi1T8PyD5OS0fCLrutyhNiEtLRdvJqDP9mK64mZ+DX7TGyqVZE0RIAyszJw0tz98u+VlxKlu6VYO6MuaRm5counY9PzZZNkyjtkC3Ye8kycO2H9u30dacwwSFwIx3IuZiYjq2n452+kwMaB/sHm3bj3tCN+CDsJ91lWx99HWujr9sGUFYcuYquH9gHbf7Zfxlzdpy3Sy/187YYbD2dgB1nE7Au+jrG/H0IQ7/aAlek10QtKzMX7LuEubsuYFX+qgq1HMhSOxVSz+ipNz7XuFlqfIrCYLkBx9ofOy84rb5z/Az/+8c5/Y/VWwsP42Rsqm1loDW4fD4hHauPxeL9ZdrSFCqxBmB/2GwJ4H+26iTOxqfJDlA4SldJ7SRtb0xccsRuluSsrefkngLAsopKbUBIjlw7zfGmJ3/ZgxkbzuDfQwUB5z93X8Cfey7ixT8K6kXHts683RftUnIYRYT9/mYpmeoDqXpnYTvSu7I512zGgM82yrZH4nSkSwozq7+vO23s0fMOYNlh51VacqSDw+fi05z2TXln8RG8K1l1+/W6U7bPbL9CrOB41nrtW7D3ksvfVYtHftqJB37YgR80BECt521Onhnz91y0C1JKlU45ieUR47A38jn7O+Q+mwH1YKLKpCBPBq2uJmcotpM86b+Fi1l4OWQhmgr6Vp0N+GwTft0eg6d+2Y0LCemafv8HftiBbh+uw+h5+zH86y12mRasRFF0aoM40roq88DFGzgTlyrbH1BaVWMkIybge2ugU2v7BLDUJ/d/vwP9P91ou+2d0F+wPvw1HDlXsLp/9LwDigPncp/im/Wn0fn9tbiQkK56DDvupyqtr4Q8y3lx+9dbcSYuDV+tK5hsmZGdJ1uH/XvwisvUcJk5eXZpAfc4rKJdefQa5myPsf37f/8cwfGrN/GYQ2BcaVzn3pnb7c7nJQev4Pavt9gmm0j9uj0Gd3+3HS3eWYkzDpMFtmjM0mKkXqaD2BXxAvqYDuC+mdtdplp3/AmsbTGl9NjWlbdW1nMg1yzi4KVknI1Lc0hVmv84L45j7Y58AXPDp6KP6YCkXAVGzNhuNzlUjghR06RxQD7gKeeb8K/Q2RSNeeGTVR93V8hmPBW6HD+Ef2Z3e3FkoKvpKEwe1jNy9YnmSWDkEoMtpEpL5ffCH5b9Q3qaDuGnsGmoDMsFTi4XaJMJK+w3nHJRP2TnmTXN1HGbzOe757vtGLvgkG0lgHWWrHQgIiE1C6Pn7bflilTqKBhBOpNQOhtA6QIpiiLmbI/xakX53r9HMfybrVhx9Bo6vb/WqfEswPmrdRVos5rrsG9M9LWbdg0rT1IFOLqekmkb+H3v36O45cvN+GSV61lTeq2SSYtiFMdz1LryZsMJ10uete5VlJSRgzJIQSmopWEqODatsz+k57e1mBtO2L/ndxvP4NnfLHXIgn2XkGcW8et2545jx6lr0E5h1tWDP+7EtZuZtmCCnONXb+L53/fipGS2a4vMvbgtZAfeDJsn2wGMvZmJGy5WtQGW9AxP/bIHp6+n4tNVJ5CU7ryS46aHgxnSqvKDZccx+PNNLmcQKrHOTl96+KpisHTzqThMXyuzF0z+1yT9vrTsi3L0yk3c8c1WTFx8FFOWFqwCzMlPgffHrgu4/eutGOkYhJIeQ4JxMYwjl5PdSln4+vyDdkF/ufv/2HnBKdipxvqZMrLzcD0lEzfSsjF97Sm7jl56di7m7bpgG+C4dCMd/T7ZgDnbY7D3fCI2noyTbeBLD+ueH6/HQz/uzF8lWeCOb+RXfjjOPistuLe/C2C/QuypX/bg2d/26ZoVnGsWde0Np7aKICE1C7/tOC+blipJR+qdxQcuq94vALr3cPhpyzm71RrST/HVuoKZvtLfxjGY5G5KpbtdbIytZY8Qrdd5K73967z8STZKe+Gcup6CHzadtZs08bVK2pnVxwrOU8cUsIsPXIFZLCjh47N32VIRWlOhOXLVZr6apHzMS1feSdNTxWlcFeoNjsdSz4/X4z6FdEtj/z6INpMKrtHSa4eWmawCRNyrc3P26KspOOvmvlP27639frNZxNO/7sGkf49pOn57mQ7is7BvUQrulTMmIQ2/bD+Pn7fFICk9G0cuJ9tWzKrRul/Z6/Nd7zUh3QNC6TNb2+Z/7b6IuJQsPDprF1YoXAetx8bPW2Mw5u9DipPZyscbu6+Tq70lsvPMsivWPDFryzl0/WAdPlph37dIy8rFwn2X9KV7k8jIzkOdY9/itbC/sTxinO12VytbrSYuPoo1x6+j17T1dnt5rT4W67SCOC07DzvOJuJ6ShYWH7iCg5fkV5f2+Gi90207ztm3S7QOqu44m4j+n25EN5kV4GP/Nm5Vu5I/dl6QWQ3iXZ4MOP+556LsuIBcwODx0JWoa4rFiJBNOHI5GT+rTCxQKt9nq0/iekoWpi5zL6sHAAiiaLeSWSpHYULtmL8POR1n1vok9mYmcvLMTt/DE7/Y1yPPzNmLCYuP4mRsil164WMaJ3MdvpxsF5h6ee5+HLqUjImLnSekzNvtncDgpRvpLlMfyvk1/CNUEpLwc/jH2HkuEW//o76njeN9auNde88nYuSsXeg9bYPTffbbz7t+H2/oaVKeMLRCZZxGgIgbadrr6biULF1t2xqC+lhMZdyQvf238A8wN3wqbg1RnrypJTArFxQertAvJP0YbCFVrtIeSCPbc8I/RP+Q/Xg/f9Zr3082yKa2efzn3fhx81mnTrnSrB/HgSE54xYexhM/7zZ0Yz3HJYVSk/87hsUHrrjMFemOX7bFYMz8g7ZOgdJvoLSKY9nha5iw+KhXK8ochxU2cp0TaaNsycEraDJhhd1MEi36frIBQ77YjOSMgtd3p3EhJy4lC52mrkWbSZa0Y9YBfuv3uuVUPD5ZecKQ/KKj5uzV/Ng522PQ/cN1OKu5ka/9ku4YAJCurvhj5wVsPqVwwc/NxIHIZ3AochRMGjaLU5t0qJRbVho4kFsRIzfzTu50Xx99HS/P3e80kDpixjYsO3zNbmVShFgwoCX3LXZ+X1u6pBkbzmDN8VgM+Gwjpq87jTaTVqPt5NVOs3c8qZ+kz5256SxOxKbYrbJw7KTFp2bZUu6oeUVmdcuMjWfwyE+78Onqk4qDJVLfb9KWyseaxsYacMvIzkOHKWtw//c78E3+jDZ3N6mNVZj1L/edR1+7iWHTt6DT1LW4/euCVRKC3axg5d/K1T4bgPrG87O3npM91zq9vwadpq7Fgz/uxKerT+LuGQXpJd9dchRvLTyMB36wTD54+58jOBufhgmLj2LEjO14dNYu2ZmmcpT27wCA0aELMSPsc5hgtgt8O5qvc2apdVIGAKxxY/8dIz02ezfGLzqCMRoGGZWciUuVTXclFZ+ajUQNaZesh9qSg1cw+b9jdqs1rLPz8xRSJQGW/absXk/y9287zqvm+/YGPddM5UeKiIJzYEIpQHd/yDr8GT4Jpy9cwtRlx+0mTagF9ZRWC1slphWcU+tPxOEuFynp1AbLHvpxJ3pNcx6MBCzfWYcpa+xuW3zgsqY6XI7jsVJXuIqyUB9Iut20DX+ETbFL2ZSdZ3baB2Jn/h5ajm34v/ZccmoL3szMwahf96D+28s0lTtGpd0tx51UWS3eWYl9F24gJTMHHyw/jiOXk+0CWk+ELEctwb6Okv6uu2ISsfpYLGZtPafp3X8N/wh3hWzB66F/6S4rYH99zTOLbu9VB7g/WUG6B4SW13h/2XFsPBmHZ3/bi035GzxLj0nrn3KbG19NzsCMDWeQlJ6Nfw8WpM+RHm+7YhJ1B3YB5VWOlZGIesIVPDZ7N1q8s9KzdDFxJ4E/7gMuW9r91r3+HFMwTl93Gq/9ddCtFRQXE9Px4I870EKIcbrPMXijpc0u9fSve9yedCY3sH/k8k274LGPEjHYUQsmKA1G/rwtxm41iCf+3nvJKdAnm6rWw/fRu0epCSKGTd+Cd12kQRdFER8sP46VMv0BT7rIk/47rto/1hp8WnX0Gg5fSkbn99dixIxtqimDpe38M9dTMeAzbb+x488l2/88EYfR8/YbOhblKDvXjP6fbkCPj9bL9peMfudNp+LwlEOwao7C/m1qWVqkE/Tc+XruD93gdFsrwXU2E+nvrWelmWO9YA3EDTNtx7Sw7128pxktTfpS3Lqjrcn1/lXkfwy2kCpXFzq5JfKVhYKBHKVI8ZSlx/HFmlN21V7XD9YpdorHKWzcbjV31wWsi76O33ZewHcbz8BsFmWXHjtS+3hqF0vHjTyNvLi9s+Qo5u+9JLvqQOl9pAGZEzryVHuT9Lt9OT8tkKvl5UqWSfKV5pktM2HUZpdrsT9/wNExcGT18E878fX607Jpg/TQ0uiSziKbsPgoLidlYKLG70p6jg6bXrBhruNmjXlmEc3fWYlzMst3rR75SX52RFh6wcBDGLTN+tt5NsGu4WXtbCmdc3fPkATRHL4y5f1KRKeB78d/3o0lB6/g89UncezKTdzIH5iQy70rzVds9BLmlMxcpxU6r/91EA98vwOL9qvPiD9+9Sbu+nar3UCE3FEknbmanSfim/WnsfpYLETRMnB3+9cKA4OSF5MbfJAGmpVmMUm/rtXHYl3OGJWz/Ww8kjNysPNcIq4o1P1aX1VpgPcXyW9gLbM0jcEhhRmaIpQ3m9UyY1g6U1Rq59kEvPfvMbtzzTpAaQ0oWlOlSa+HV49swKLw8SgZZ6lLN8lcH+R+K7nDWm0SRZSQjVtCdqOH6TBmbDhjt8pC2vlwty7XaptDegUBzueo2v49cufz6espmL72FA5ftvzmK486B33Uq+uCO7VcFz5eqS11lgjLjMyXZdLnJaXnoN+nG1D/7WWIQDZe0pEyZsOJ6xi/6AgW7PPsGmalJf3L3vM3NA+sq/ku7Ascj3wCtQVtK8Q+DPsRnU3ReD50CQDtKUX11vs389NoKtEa8HS0w6Gu2XP+BkbPO6Bch7sgbXvXEOKwPuJ17I98VvU5X4V/jW4hxzA29E/bbYsPXJEdDHvylz0u2+UA8NWaUzpSmFrOr4zsPERfu+nUdpKr49XO16T0HNl9W1KzcjFixjZ8sDwaMzeexbDpW5AgCbZMDJuDteFv2D3HWmcmpmXjfher7f/ac9F5hSaAaoJ7EwmSMgrK5urS4yqtXlaO5+mXXRFhv0pr5Kxdiqtn5D7O/d/vwEcrovH6XweRJWmfO17frBMPrKQTbJS+JrPkgJGe+jsjX8S6iDdsgcZ/ZNpo1oG6j1c41+unr6fih01ncfRKMsQ/7gFOrgB+6Kd7TynHzd8T07IxbPpmzN56DkcuJ9tWZvf8eL3qwCZgWcVzb8h6HI14Al1M+lYfeNrvcdRFkjLUW+mC0rNzseVUvGx6I7lgQimk4duwLzBI5z4Ii/ZfVk29Krdi+o35B2WPKSlXXUXpsfR26O/qDzbYmuPXMXPjWbs0X1arj8Vq3pPTkdrEDAHA6Vhtkw6XHblma+ccupSs+fr/ho4JN47jPtvOxMv2ERYfuIKLiQWP1brCUKuW7zqnI/NUiDkL74f+gP4m52v9HzsvOE2QmrDoiOzxqjVFoFGjZksiJhjyOnKUAjNfh093+dznQpbgj/D3jS6SW7hni/+F+rsAVLip5fj+buMZ9GtSyfbvazczcU0hpc3cXRfwaLfaKBFRcMj+d+gqbm9dDZFhIbbbJuTnCf9wuX1j+NNVJ/DH0110lX3M34cUN0dz5I1JDNYBuAOSmY1mDW+kZUn69ZRMu/zf3qD9oussKT3broP/k0Muzad/3YOu9cpj7ih9v6mSPgqzTQHLUt06FYq7/dpa8lf/sPksXujbwO42uQ7DppNxqFI6Eo0ql7TdJv2WHXPjOsrKNbvsoMmxTwdW8I8Hf9iBUb3qOT3+2OVkzHAYkLCtaFE4LKTLt63vkJtnRmiICYO/kN8nJyvHjJkKGy/P3hqD2VtjEGIScOb9W2Ufk5lrBsLly2OEsBD7+QwL8ztbSqt7TlxLQXioCU/8vBtXkzPtV87JnPrS2UXT157Cqfzl8N0blFctl57qKs0hVdnZuDSnzVUB4OT1FDSpUgoHLya5XFV3NTkTdd5aivFDm7p8f+fZZO5XtucT0i0rYDS8xuOzdyvmU3Y1G17NumjX6f3kzMFEwAT8GT4JwCuanydXD2upmiORjctJGZr2xPCGB3/ciZgPh9r+nSeKdvmw5+66oDrY6/gRLyamY8BnrvfbSs/OVVy5dCEhHRnZeYgKD9HUmd9wIg4VSkS4fJzZLOIVlVUy1qDwS6H/4MXQxXgdf6NO5h+2+5Vm5jrmH9fLnWt4lkogQvY9FG4fEmIp+4Mha/FB7kO2212duiVhn3qvWLjx3Ry1ND27Y27gs1Un8EK/BoqPkeM4ICNNbeIua13ZRnAeIMvMyUNyRg4qyzxPa7rAf/ZfxnvDm2PTyTj8vkN+FZzSikM1TSeuAAA809u+bfH7Tn37Ujz/+z7F+0QR+HuP8oBymJBnF/Cds+M8nuldzynljdxAmnKKI/euG1tPF7QXlhy8goaVSig+VmlyxPWbmahUKhIJaVlAiOxDNLMOkCZn5CAsRMCIGdsxqJnckVRg6aGrqFE2yvbvq8mZOHI52SmtLFAw2WPTqTjcZ3eP/ffn2JaVSz8bl5KFvedvYEDTSggNMbm89tUTriJBLI2PV5zA830aWPZiyL8vK8eMU7EpTnV/ckaO3ez4mMgY2996r5/TVp5Al3rl0b52WSRn5GDyf8dw5PJNHLlcECyQtmfljqieH6/H2fdvxYTFR/Bx2A8AgG/CvkT7rJmayyHCeSWOUVxlzNBKFEW7a9Rzv+1TTY0cfe0mzkkGqUeHLlRNvyOnz7T1ttV3MZHyj8nMlr8GbjwZhxHta9j+/adDeqnfXeydMWXpcTyV/54tTTHaCixj8YHLGK7zOa4mEUz+z/1UYkpib2ZhV4z2AHWoSdtxJX1UmkxbT6mPcezKTUDSnLOubJ71WAenx1r3FI6JT3PrWj7o841oXKWU0+1HLie7bGO5c3a1v/on+oSux4NYb9e2VBMjt++KyuNd9d2mrTyBaStPYMzgxpreXys9+xsZ5ZnQ/3z+np5gQMa7GGwhw+k5abVuzAtY0joNbl7F9u+xfx/CoUtJmDy8hcvnbjuTgF3nEnE5Kd1uSb7jYILj5mbvLNE2e1dtI1U9bkjSA2TnmnHkcrLdbFela5X0Y0hnVH+w/DjG3eI8oPnh8mi30/VopeXylpqVKzuz5eOVJ1yWT2nAWkl2rhnhofKL+RxTV0jzU0MQPJqJZd3QV43jxsRAQSdKFEVMz59N9NlqS55u6SCk0ZJk0t4oNVa2nUmQ3SfihkrqHC0dLbNZxKUb6ej/6Ubc17Gm4uNSsnKx+MAVxfsB7SltvNEc09j2B2DpsFuDSuEhzsfp0sNXUbZ4uF36JunKnFOSBr10cMYVVw3gL9accrrt9q+3Ysod9vWu9WXkNipWomUgQjrj+90lR/FotzqaX9/R2AWWQbBa5Yq5fKzaxpXupK6xmqmQcm27woaKqVm5iAoLsY2PhQt5+Hy1tg3VAe9uOult0s/50h/77VIUuZpV7/i5e36sHFCXmrL0OKYsPY69MjESEZaUMM2rOXeClails7Dad+GGpokdciljjCYN8qdn50IURczYeAZtapTxzvu5qJ8dD18RltUz0lnCv2yLwaMyz202cSWWvtxDNUCjNMHHE1+tOy07A1jJmbhU9Yk0bgaY5VZuWfWZtgHXbmYqDhhq9dxve1WvN54Ex2duPItbWxa0+bWu9tVKad8fqwd/tE8TfO932zG4RRW726ybBWthxIDGxcR0NFAJtijp9P5a7Hq7v8fvD1jqiDnbY+xWNx7XsNeBYyBo2PQtCo+0MIuwqwBcDVpK23rWw+6WLzcjPjULE4Y1w5M96uL41ZtopfIa0t9o2+l4vDx3P27PP0eSMnIxbaVzeq1XHVKxmkUBJkH+t/5Lw/4Nu84l4qu1pxQDB+MXuV5R9u+hK/h95wVMzS+73mNPFEWnSYueyjOLCDF51p+SembOXnw/smCg29UelEO+2Gz374pCkub3Op+Qhjyz6DLN4dSlx7DxZBxW5f9b7aNq3URb6x48Wlj2mz2A4TrrfT19GT3UjsuTOrN0/Ohig3Otluio0wHI7hVqvZ73+WSDW2U4GZuKkw6reuJTs1zWmYCljZSalYueH2nbzB0ASmbrnwQmt3pTjtxKYLVmgVwd6wmlY0xPnejvbhRDIcGNwRZS5cnqBC30NCKsgyBSi/dfwbu3Ndf0/JiENKcZZ46fTsuATFZunt0+Mno3wFUjHUzKM4t47a8DdvcrNQKUchfP3HgWj3atg2plouxul9v/wupmZg5KRYZpLLG8PFF02aDOzMlDi3dWyt43T2WvAKnPNOYVbjx+ObJyzXjv9ua2wVq1Y1uan/qrtacw+Q7XAT1PxcSnoXb5gkHgXecS8ebfh3D1ZqZTyqAbadk4fu0mPll5QnWzOndIN7i10nuhV5tJ4hjQlHM6LhXDpm9BVq5Zdrai1DUdm2yrcbeuO3JZPg0VAJh0vGasZNBPbhDo772X8LcBqR0+WXnC4w1g07PzFAPlmRpXA2ol3dx6z/kb2KNhDy9XLmg4BtUYNTNTyjElilWLd1aic91y+FNy25drnQNgvuDrBr/0c+o9Zp/9TXlWu7sEQHUfG3vavy2tK2i18iQY2PB/y21/J6blYMWRa/g4f2Pnuh6s8FTiTtqtEZK9jADLpJhHFQaPxsw/hCqllUeWpOk+/GHW1nP4dPVJVCllX0a1PZ+0su7NJHc9NirIpBpogXN6NKMZVSdpeR2lVJe+ZBIExfSWruy7kGTILF8B3k8jCeQPWEqK606dbg12T/7vGJYcvIKDF5Nwn8aBZsdgmwDIpsTTs1rVOuFDzUcyacqk5u5yHbA5pTH9kpIb6cYN8FuNnrcfXz/YTnUPLT20pyeUp/Vc2H/hBu78dpvrB0IyuU7lGFsXHWuXkcOVh3/a6XR9cJdjKjOtA856+jJGmeOi73fg4g0Yk9vCnuOKIys915oBn23Cy/0bGlOgfFr6zoClTaU0tqJENOj3VXqZXecS0a5WGdu/ldK3e5sne7bo4Y/VNJ4ItvIGGwZbSJW3Tz9PNx8PDzVp3pztoItVNFoGc/LMotNmakbm45RG+7U0yq0Wqczuv3QjwxZs2Xo6Hr9uj1Gdbfv6Xwfxw0jnZbF6fqvO769FkovG+qUbyg0HrW+ldfaoddntO0uO2lLRlYrSHlCypqdzh5ZzaP2JOKw/sQEtqtvPmP5TYRPq3tPW46ZKwMwqPduYQKB0Pw5PZ2culey/o0QutYSSPI9y+Akyf+mjZaaRFtGK+9IY6+v12mdcq3EMgplFEXEpWUgxMPhMFjvPJap23tXEemHmPvmHr7una47H2uXq9uamr1rF6Tyej129aZeiUi9vd0Ktg5pqwY//NFwz5QRC99ndXP5aaUmtayR/nwKCoH0/IkcZObmeZhADIJ96R+pcfJohwUK937W0frp2MxOPzbafee2qDxiMlOono9p5Rvrv0FV8/aB3XnuMjr039NI6g1+L+NQs2ZUQrshfHxyWfmngdlpYP1xMXGWv+Hz1SbtJSFq56sNqXXHkylcGT4ry5qVHbR86I2w9HY8zcQUB4Fu/2qzyaGMp/d6u2na+TK3lup3p3ROQacS8i8EWUhXoKUhEyG8ULMdVPtQcDRebP3dfdJoJed/M7QqP1icxLRvT13lvxvK2M/F4yGGmlhzrBtuO9Gx6qxZoufPbrZh2d2u/dVqVNur0Fi1pZKxc7blipSXQAljSqBjhs9Un0dvFY6QXa6ULt6u9PNxhVCNxoYvNK92x4aT2GY9ym2P7gtZjyZWpS48b1kkh79JyXQ/wSz/5gasUKr7ganWBLzqNXSWbPfvCWYM3w3XFXx3vYKhzrKuF/MWTdD7LD1/DbYV4UMWxbnA9acf5uwiGY5Dsnb6egvkGrPpWopYJQo/zCWlITPNu8NlbZm50vfeor+05f8PtSUjB6LzMHilGOXEtBd0MGBFWqj9Px6X6bUW+kmAJMARLOUkZgy2kKtAbnolp2br2CHAkHXTaqWEPE7kcomoz0kVRxHv/ats47tU/D7jMOesOa+DEbrNtF1q+u8r1g9y0/0KS0+qgwszAhU9+E5+abWvUelInFMaZhWq0Bs8Kg8IQaAn06507vlnvnU1uC7ug7uCIlnSghUEg/g5Grmb2Bb2lNeo7N2qQMpAcuqScNtQX9Oxz6WjVsVjc5lmGYApShbFtY7Vov749Nvzl4KVkXL+pP22mEgFi0KX/We+Qcs+oa00w7b9hpTfzhDS9eTARIGLpIfdW5xrBmNSZOve80vme3mznBsrxXpQx2EKq3NnHIJhObOnHc7Wq5OiVmzirY2n8qqPXMGrOXs2P90agxV2e7ulARESByd09Z4KtY1/YKH3/jreLAFp5ccIEBQd/5UU30rLD19QfYNBHDJa6bXeMf1fWFC7B8ZsbIRCD1kaRprrUwx/fyBO/7DbstQR4/hl8fQaopTz3FUEIjHOh50eu9wgONu9qnFzsS0p1n6s60ZdtArX3Cpa2CSljsIVUBXoaMSO5mqyodwmknkCLN933/Q5MvdP7G7wTBar3l8nnKQ6MJjcFisI8ICElt0LTWdH4LvQoKsdHcONvZCUWge9CzwQofwuE7lSwDdx4t7zeOT98edYF2+9Z562lhr7etJXRPtvv0Aje3huD5BnRdjP6XEsI0pRyRUWgtPcDpRzkPpO/C0CBzZ1LS7BWDIlpxi3v/WLNScNeywj/+8f9Dd6JpI3MYDy/v98UePmGKXht1LEXTyA6dT3V9YPII/6sJ/29ibeRgvF6Eyhmb43xdxF04W9N/hYos95Jm8BPk+rN9EA8Vt0hisEVoCTvCKZAdTCVlZwx2EKqOtUt79f393Zj4rcdF2x/xxqYS/WLNYG1ERgRERljwuKj/i4CFUFaO1xLD/svP7a/Gd0lLQydXP35w4nIEQe3C5fCULcHO09+AXfPRwZUnQXjCkJPebM+99c+eRSYGGwhVWWLFe7dFPeeZ/5jIiMIdn+z4UBE5A+sf4n04cBrYArG3yUYy0zBh9d59/B7Iy0CZc8WX+AVy7sYbCEvMO5C5u8KiIgK73lYWD8XkaeK+pnBuiEw8FegwiIQBvlYr6kLhN9ID62lDbbPRRRoWHcWZaw/yX0MtlBAYwORKLDwnCQi8j3WvOQO/YNE/jnSCnvborB/vmDD36NoC/bBcyNKX1jOAVffRWH5nN4S7OeCGkHy0fQcB54cM0Z+nwJEj45eHvv+x2ALqSu89S8RERGRRuy0EFHw4sCL9wXiwGXglaho8Ob3znOZgkGw1j2+rMd5LhduDLYQEVGRFIidYvIfNnjV8XzRjt8UUfBgzR+Y+Luo4zWZyB9YMwU71pzkKwy2kOFYgREVLtJmJc9vIiIKRAyYOtP7jfA7JCIKbIWhni4Mn4EKP/2JWPU9g0Hzwo3BFlIl+LkC4IWYiIjIt3jtDTxKHTJ21Arwm6BAFQjHJusK9/GaWLh4+muaxcJwLgXvMe3ut8/z2FngfyPGlNBXe7boxWOycAu6YMv69esxbNgwVKxYEVFRUWjSpAkmTJiAtLQ0fxeNiKjQU2oUSG8vDF0QIiJ3saNmjML82cieP9sNDEIQkR4mgdemYGREm4LtEu2C9bsqSm2CYP2NgkVQBVumT5+O/v37Y+nSpYiMjETTpk0RExODKVOmoGPHjkhMTPR3EQnGnrRFqbIjClT252HhuSgXnk9C5H1ioZjJ6b6i/empqOBxToHCm33AwnGca/0UbO36gzcHMTlAqp2g8DcVflomiPqb2nVOcHG/llcn/wqaYMvevXvxyiuvAABmzpyJCxcuYN++fTh79izat2+P48eP4+mnn/ZvIYmIiCgosRNGRvHOICHTiJE7guP4CKTBDyJHWutZHsXBwrN6sXCkEfOvYP0Gg7XcSrwb1A6cGtFXqeeCbZ889iG8K2iCLZMnT4bZbMYjjzyCUaNGQRAsB0a1atUwd+5cmEwmLFy4EIcOHfJzSQsX0Y0KwMhKw98VEBHZ4yWZqPDjtdcz/P6Mofd75PfuOX6H3sHvNfCp/UbB/Pux3V74GJMOq3DQ810E71lcdHlyrLsbSAiU+t4XpQiUz1pYBUWwJTU1FStWrAAAjBo1yun+hg0bol+/fgCA+fPn+7RsREREREREFHyKysxODqkQUVHmbk0vvUZwcDp4uPtbBcrvXTRaJoVbUARb9u/fj6ysLERERKBTp06yj+nZsycAYMeOHb4sWuHH6wlRkRcojQ6jFZUBFiIjFJ4zPzgpff9FfS8dbyoM1wietxSsgvH882WZeW67z9Pfyd/fffCdGYGhMPVhjRKM9Wxg0/d9uvr+ecQGt1B/F0CLkydPAgBq1aqFsLAw2cfUr18fAHDixAmflasoEHOzUB1xup5TRkjT/RwlZZFq2GsRkXsqCMm2v6sLCSguZjo9JkQw2/6uLCSiuhj4520lIcn2N+sZKg3jrl3e5IsyVhZuOL1PRWk9EATfkyfKCykyt93U/LnLCSmGf0dlhFTb39LXrizcsHtcZTj/dsFKz3cOAOV0Pt4Vpe88mOi9znnj2NWiHIz97ZTIvUc5mfPd6LKU9dP3KlUOBZ/T32XRoiKSbH8bXd4wIc/pNasgUfF9tJ4XEUKu7W9vf8da66eSQkZQ/N6+VBaenfMhQsEQqNLzSgiZXvveqwnxyBAjPHqNikKSX48LT/qKYZLzrIqQiASxlOJjo4Qs29/uXmcqSdpZ1YV45IlBMV9dlfV7KC/cdLrNKEaMCQqCcrjB1WuXQ8FnKy/pw7g6DqT1eDUhAcXELMXHOiqFdMX75N5T+l6OqgiJqODB71MaaRoew7FWbxJEUQz4gNm0adMwduxYdO7cWXHlyvLly3HrrbeiRIkSSElxvoACQL169RTf4+LFi6hZsybOnj1rSJkLi4QT21B+7i3+LgYRERERERERERERedu7ya4fU4RYYwpa4gZBsbIlM9Myizo8PFzxMRERluh+RkaGT8pUVIgQkCEqf+9SUUK27W+tz/HFaxGR56znpNr5aH1MphgWFMuSTRARIeQAYD1TlAXD9cbbZZS+PgBkiaEwO2SaDUEewoU8r5UhkDh+H1ZKn1vu8UZ/R0rHgAARkfn1GBA89a8avce7t86PYKgbXFG7zuk9zr3BF9+xq/fw5vkbSMdQIJVFi1DkIczga47cd6DWdg2Uusid9wq239uXPD3n1b7bQL8eWV8nTxSQDfmMMd5kVF9Rz+t4+t1J21nBfC6p1X/S27zxPka9nlSGGK54nyvutAXcfS93XytTDEMYcm0r6Ywsi1K5vPH6RVlQBFsiIyMBANnZyj96VpZleVdUVJTiY9SiT2qrXoqy7Mpt0CHrZ38Xg4iIiIiIiIiIiIhUFA8PQVp2nkevEWNMUYqkoEg4WLZsWQBAYmKi4mOs91kfS0RERERERERERERUVAhCcK90D3ZBEWxp1KgRAODChQvIycmRfcyZM2fsHkvGCPgNfYiIiIiIiIiIiIgIQbA9e6EWFMGWtm3bIjw8HFlZWdi1a5fsYzZv3gwA6Nq1qy+LVuiZzTxBiYiIiIiIiIiIiAJdRFiIv4tQpAVFsKVkyZIYPHgwAOD77793uv/UqVNYt24dAODuu+/2admIiIiIiIiIiIiIiPytYaUS/i5CkRYUwRYAmDBhAgRBwJw5c/D999/blkRdvXoVDzzwAMxmM+644w60bt3azyUlIiIiIiIiIiIiIgourw3kFh2eCJpgS8eOHfHZZ58BAJ555hnUrl0b7dq1Q926dbF37140btwYP/zwg59LWfgwzR8RERERERERERFR4OtQp6xHz+/TuKJBJSmagibYAgCvvPIKVq9ejVtuuQVpaWk4duwYateujbfffht79uxBhQoV/F3EQicyLKgOESIiIiIiIiIiIqIi6Z72Nf1dhCIt1N8F0Kt///7o37+/v4tRZFQqFenvIhARERERERERERGRCyUiPRvuZ5Yjz3DZArlUoUS4v4tARERERERERERERCoqlIjwdxGKNAZbiIiIiIiIiIiIiIiKOC5s8QyDLURERERERERERERERZzIPGIeYbCFNBD8XQAiIiIiIiIiIiIiooDFYAtpwIimr5X0cDMrIiIiIiIiIiIiIj04CuwZBlsoKAxoWtnfRTDcn6O6YO3rvWXvq8jNrLxiaMuq/i4CaSB4uJiuZ8MKxhSEiIiKtL+e6ervIhARFXnc6JmCwYGJA/1dBCIKEAy2UFD48dEOqFY60pDXGjukse7njOpVDzvf7m/I+wNA38YV0aluOdSvWAK73u6PE1OGoHm1Uoa9Psn75qF2bj2vYknfN/BvbVnF5+8ZKL64r41b56nVL493MrA0zn4Y2QGPdKnt1fcge7XLF/N3EchNh98d5O8iELmtZfXS/i4CEVGR17BSCX8XgciO3OTAMsXCfV+QQurjEa2w5c2+/i5GkcYtWzzDYAsFjZ8e62jI6zzfpwG6Nyiv6zl9GlVE5VLGBHsAYPbjnSDkX6ErlYpERGgIIsNCDHt9UtalXjldj48KC8Hmsd670O8Y1x9PdK/rdHvNcu4NLn9wV0vdz1nzmvwKKwAICyloSY67pYlbZdLrtlbVUL1MlFvPHd6mGkwm7+4zNbBZZbzQt4FX34MKnPvg1kK5urEoeOuWJigZGYb/3drU5WNf6FsfR94b7INS+Ua54uxw+0uxcOPaU1EGvhYVDg92ruXvIhAVOa8NauTvIhDZOffBUHi5y6lboPaX3r9TfXxiyYvdnW4b0rIKapTlZDsKXgy2kEtP9qjn7yIAsB/09dTvT3VBzIdD7W775kHlVQ9KQd3372ypeQZ+3QrFAQBfP9hW9v6PRrRC7fLFMO3uVppe774ONTU9zpuOvDfY5cUz0HxxX1vc074G/nuph6bHd65XDpFhIZjzpHdWS1QpHYkyxcKcbg9xM5dW/YrOM7+m3NECvz3ZGZ3qlsPfzzqnRKlR1j6wceb9W21/L3iuG14b2AhPdK+LZ3rXd6tMenkjWBI9eQg2j+2L357sbMjrVTFopZ2v/fJEJ9SvWFzx/o1j+tj+LitzXLrrzPu3ulVX/PdSDwiCgIhQ45srsx7rYPhr+lONslF4skdddKpbzmkG6JDm7q+UOz5piNvPfTa/zmhStaTLx44Z3AQlIny/X5nWa65ez/YOjLZTUTRLZnLOkfcG49wHt8o82jum3d3K7loaiF7u39DfRQg6YwY3xgMdC3+wxai2kreo9Ql/eUJ7e/3L+9sYUBoy0isD5Oul9rXK+rgk7hnZVX7l+4RhzXxcEgoW/ZpUMuy1Pr23tWGvZeVJtgkrV5MU6knGLz4a0RJLXuyOUpHG9UOJ/IHBFnLpmV71sOTF7vjivja6n2tk+gVvLmOrX7G4atqm4vkDQOOH2s/ONQnAs73qY9Lw5mhSxXkwqV6F4ggPMeGpHnWx/o0+ODFlCIa1qib7Hg0qlcDGMX1xj8YgigjRafbmtw+183i/ins71FC8b+fb/fHRiIIB0xIRoSgZqW1wbPoD8kEmTyg1yB0NaFoJD3exXOSrlI7EtHtao4XGY3NifuO4Z8OKXpup/GQP55UtHeuUswXoKpdSTmPWtZ76Kq03BjXCw11qo0fDCvjrma6opmHFSIhJQMyHQxHz4VC0qlEGL/dviIm3Wb4Ho1ICDWwmP/PG2klpWtW9tHq9G1V0uu3bh9ohMiwENcsVQw8D93Mp6TAwXKNsFGY+0l71OdJghj80rFQCtcsrB1uk9xWPCMU97ZXrAz1CTAIGNHXuTHx2b2t8ck9rPCMzML19XD/beaql+t8xTl+qx35NjJv9teA5bfs6vHNbM8x9uovdbdGT3Q9mSG15sx8mDGuGv57piuWje9rdFxnmfnPP0z2UAKBHA+3nneOsvKcc6ket9b5WYSHB2xQuHVW0O6LVSkfiK5m2Ree65ZxWsZaICLWtKFajZWKPq+Dlo11r454ONRHi4cSBcEmQWa1t5q7XBjaya9ORcd6+tQne0DkTX9rHsLZZjVKnfDG8MagRHuikrY8hPVWaVCmJSgrpdDvV0bdaXI2eSQFNqii3EauX0T4ZZnib6ni6p3Mb3FOO7UM1RTltsBwBzvXmKwMaBs1GzUrX5aEtq+K925v7uDTO3M0coNcghX6eFnrajIWB3AQRq/s7aquzO9Uph/0TBnrULhzeRn6Myheps6VnffcGFdCqRhmvvydpESw1b2AK3h4m+YzJJKBVjTIY1kr/5uJK/doW1dUHUoe2qorGlUti7tNdsOrVXgBcn+r9PZgV0LpGGQiCgO8ebocHO9fCO7c1c7jfMuDnOJt9eJvqMJkEjOxaB3+O6orHutWxu/+hLrVxbNJgjM8fsI8INS4dhSgCxyYNwZ7xA2y3tatVVnO6s7Wv98bpqbc43X6Lwibyrw5ohMqlInF3+5qYNLy5bTBP60BckyolnQbNAMv+HA90cq9TKdfZOvv+rU6rln58tCOm3OE8oFA8P1jVsY79bCnpgL10pvVPj3awBUAcVfVgpUPxiFBbcGPjmD74/pH26NO4Ila92guH3h2kGCBZ8mJ3fPtQOzSuXBDoa1TZfkb7i/2MHZgsGRmmmnbMUcNKJWT3I/pcErwd2bU2dv2vPw6+M8jWEWmUf/6ve703Jt/RwuX7LH25B2Y91gF3tKkOwHJ8jxncGEfeG4xbFY5pjzkc+1ve7IfBzavgu4eVAy61yxf3WcDlrVua4J/nu9ndJghOxVZV380c2XKBlUoyddMdbarj7vY1MO4W5zRTVUvr6xCqrTYycll9u1plnG5rX7sc9owfgJf7NVDtJD7evS661i+Pu9pWt90WGRZieOc3NMSEFyWp7gRB8Gh1ix5ygR0tg9xW3zsELF/q3xAPSWbEPdq1jttlk9O6ZhlDX8/K23mOP7mntaGzIdW8fWsTTYO0f47q4vIxRjkwcSC2jeuPmmWdzx1BEPDBXQUrlhzbZmqWj+7l8jHfuQiqP92rIHjsSfrNuU8XrC7oULscXupnfPrK+zrWwvo3+qBTXeMGzYPVDyNdr3YURVFTu/ehzrU1T56y6iKZPFNLkkrWMaDxrM5VxiO71saGMX3xYr+GGKxyHShbLAwHJw7CKYe+wR9Py5/XTaqURPEI+X6NY7vNk33X5FLtyhndvyGmP9AWDSrJr6RUqgfeHFJwjur9bgFLIMtRB4d+hdqA6bcPqdcnvnBLi4LjYvu4frqe6yoQrPf1BMF5xf0rA5wDl9JAcbibkybUZuyveKWn4ioVORVKRODl/g1Vr/2Pdquj2I/0FW+sFJfz/cgOmidkSlUrHamabcSbpG1zJY5tXE+ael3qlcPdMpPaoiSp5bWmmW9bqwzKejgp1DFQc2rqLTj63mCU9PIKk4MT1SdyujsBkyz0BP/JWAy2kOGk+6HINThiPhyKW1qoD35+82A7rHy1F7rWL49G+QPJkS4CFaU8iORbnzukRVW8f2dL3NXW/sJnHSiSzrbp07iiXS7v0sXC8K5kxsrQllXxaNfaCPXyrNkKJSJwcOIgbB7bF1VKR2ru2NevWMKpbE2qlHQ5EBuSH1zSe+FrWLkkxg9r5jSL+4621e2CW3+O6uK0SqiUQmNNboDSMQWVY/BBatVrvTH1zhYY3d++EX9H24KZHRGSRk7bWmWx/o0+tmNcaVC1Vrlisg3/EJPgskFRu3xxDGpeBYIgICzEhFKRYZh2dyvULBeFj0e0Qi9JIEiAgLLFw7EyPyiz63/9XW7M52qQQEvgq0GlEljzWi/ULKc+QPxkj7r49clOqCPTsZAWY1SveqhUMhKlo8LsBmW71i+PehVL4JEutbF/wkCUlzQiP3NYJt28Wmn0a1LZ9vvXr1gCL/RtIJuW6JN7WtsNvn92b2u86tCR05LzX/oZpAGUIS2qOAX8pKTBsyUvdncrlctrA13PmO3RoALaOqRdqFIqEsNay9e/1kHu1/Nfe4rDYEnnuuWcUt4pBRl/fLSj7TeSpulwnOnt7f11rBxnjj4q04EO19ABnTS8OdoppLKoUCICrw1qjM5aBi0dPranM+DlvDG4YBBBECypBb55sJ3Tse6K3pUfWpf9VyoZYbteTR5ecO00mQS7eq50VBhGS1aziHA+Nt0VahJ0DXzM1rF3XF8DAyFDZSa7CLAM/Gqx6219q76kwkNNGNWrvsvJIr880UlXUM0Tj3ev4/JaV05yv+OqZDUNJAHm21rLz/JUU7lUBKpIAsvP9K6PHyWD+HoCq82r2a/AHdTMOwHTuhWKu51OSe7YDFQlIkJRtXSkbG54QHnFraNmMu1f6eDYvR1q2FbEW31+n+V6KG03Pd9HeWC/a70K2PBGH3z3cDv0k0xeuL11NYwd3FhX+kOtGzbv+t8AlC4W5lTny63q7tu4IpaP7om3Zfbj2vpWP6eZ0PfJBBu0nF+NKpfAxNua2QVEAOcBz68fbItXBzZSfc1Hu9WRnQzg2Bfa9lY/pxWoauSu39I+UqsapXG7woxxb1z73TFhWDM0q1oKH9/dClVLR2Hz2L62VX6Pd6+j+LxJw5vj47tb29WbjgQIWPyC/Dn3+1OdUaFEuMPj5VlXSHeoXRZb3uyL+1yk89v1dn+7lYrSAfz7OtTE7Mc6Kk5YuK9DTTSpUgptZSbXKNn9v/54bWAjiArD7+4EHrxBhHzb3RsBd7mVp1qULhameMx4Uy+Z7AhSI7vWxpIXLWnIrX0GaTPs96csEyQWPt/NZaaREhGhmDeqKz65xznt14F3BqJNzTL45sF2eKlfAzStWgpDJRMH5fqNQ1o4tw8GNK2Mta+7niD55pAmGNqyqtP5EBZicrqWeUNph76lY1vSyK0EHBmVwUELPcHbQOHtiWOFHYMtZLivHyhozDSrWgoVS0Yg1CSgXPFwTTn7u9WXT4tUq3wxPNOrHsYMlp+FMu7WJuhUp5wh+XdLRbm+sPz0qPqgy51tq7sdaFH6jFKvSAZbSxcLs22oXr6E/FL/357sjP9e6oFu9ctjocNsd8CSqmXpyz0VZ1AojaHULlcwUPX+nS2xf8JArFO5sMu9fmRYCB7pUht3tauOzvXKY8UrvdC3saXBU7t8Mfz7Ug+8OaQJZj/eEWMGN8ZvT3bGRyNaomUN16nAOtdVTrNVvUwUHupc226QtUyxMNzRpjo+u7c1pt3dSnY57qzHOmLZyz1xr6TzKH3c2td7Y8fb/VEyIhTdG5THu7c1w+DmlbH4he4oXSzMbpa2Fg0qlcTmsf1wb8eamClZNSHtpJWKDEOlku6trjEJgm2595M96mguk2OQSqpLvXKYMKwZqpaOku042X/nrgcCyhYPx0+PdUTNclH47uH2dh3ZP57Wl1v87vY1MOPhgnqqVY0ydoO5ALB/4kC7f797WzN8dm9ru3NH2hhUS82lpmyxcLw2sJHsOam2f8WtLavobrSVzE+jc0eb6pj/bFcckqSE+/juVhiUP+P1pf4NET15CPo0tm90//lMV0wabhnkblS5BJ7pVQ9/jipIn+U4cHRXuxo4OeUWDG9TMFNs34SC71Vt75hJw+1TLVj3qOrZsIJbM0+loicPwXvDZQbrXTQoN4/ti5Fd67gMWD7dq57LAcjb8weErAP9jrM4jWYSBBSPCMXQVlXxbJ96eKpHXZc5+euUL4Y1r/UyfDDIJFiuNwue64ZnetfHgYkD8YjDapVfHu+ID+9qaRsUlTb2TQLwsEEpDapqSDfTvnZBcK1P44qopzE406hySWwc00dxnzZXpG2hT+5ujTvaVMOMh9rhkS610ahyCQxtVVXzjMpKpSLdThel9dfv3aii00DmLTKdfznP9amvqzOtJTBaulgY/ni6M/5+tqvLttiDnWvhjUGNsDp/JfWa13rh+T71bUHA4hqC74Al7ejWN/s5vd8AySC+2aHnqiVw7o7vHm7vcnKHlN6VhIBlUFrrDOSDEwdpmjUsVUVlpfYDnWrZreyWkmu33d+xJo68Nxjbx/VHqxpl7NoNlUpG2K0EBGC3imjz2L62vwVBgMkkYLTDYNeR9wbb/i5X3NIOl/7U/ZpURvTkIZgwtGBykWNbX3ptaVmjNOpUKI4hLaranYPv3d4cJpOga9WMNPChlg5XGmRxNfv99UGNIQgCGlZ2XkViDShKv2OTzIXz1QENnVbRaPW8w++llKLZ0f4Jrs+JamWi0FWhLypHLsj8Ur+G+PL+NqhfsTg+u7c1utWXH3i1Tszy92qHamWisGx0T9ybf1zVLFcMp6ZaMgW8c5t86quYD4diZP61e8ZDyvWAIFhWkEqPw1Y1SqNERCja1SrrtNpKEOzPBem168dHO2L+s11tm2Zbz/U2MitUHVdTixDx3cPt8XTPuvjgrpbo26QSmlQphbdkJimWyA+MDG9dXXNgU2mywaIXumPBc91sg9b+Dq+Joojfnupsa4cCQMWSEfjrma5OAWfH9IF6V6/2bVxJ02C/Xfny/6+26thfgavxQ5uhUeWS2D6un11/xsoanGtXqyzmPNlZ9jEf3tUS79zWzKmfaRUZZkJEaAgWvdAdQ1tVRfkSEVg+uieek/SxnpAJgErPgQ1v9ME3D7bDDyPby+7lGvPhUNu+nIOaVcZzferjm4fa+Sz4K5fpRErrRCI9vnu4nVObdMzgxvhohHf2bZQj7Q9rtfD5brKT5KzjZGps57MHP6u1riX3MNhCmmmdsShdwhgeasL2t/rh5JRbsHf8ANvmWHKVaN/GFfFM73qqy/jH3doUL/RtgNmPdXQaaKxUMhJ/PdtVV0VmncVxr0OnRRAEjJKkgbCSLut3dUHyZILnLS2rYu/4AeijUJE2rlxSd9qZHg0roEX10vjj6S52M7P/HNUFj3evg9cGNUKISUDnuuVkc3YqfZy6kgHT3o0romzxcLtNzuRYBxekS/on39ECn93bxvbvz+5tgzeHNMG8UV1Qu3xxPNenPvo2roQX+jZAj4YVZGc0yQ0ednGxpwlgPyPxwMRBEAQBd7WrodiZjQgNQbNqpey+E2nDLyzEhHLFw7F/4kD8/lQXPNa9LmY+0sG2/8TbtzbFg51r4Y+n9G9AGhUegse718HQVlXR1MWm03IrTxxnJ3/3cHuEh5ow85H2OPreYMX0C3LuaFPNNggOWNKxzX+2K4Y0r4JPJb+lY93xUOdaCAsxYenLPbDkxe6aN8VuU7MMNo/thyEtqqBp1VL4eEQr/PZkZ8VOrBppieQG+Ry/p8e618Vd7WoormrQIyzEhMe61cE97WvYgqSOr3tP+xq4q11BXfbdw84d2Xdua44Fz3XDsUmDne5TIwgCOtYpZ7cCwfEbsAZFoxyCo7e3roYtb/bFitG9MO7WpqhZLgrNq5VC9TJReLqnpc6UBg4cB0Wlg2COV4GX+zVA5VIR2Pl2f1sH3qpOheI48t5g/PpEJ9WB1kUaZsIpBZSVZiNaKf1Wcq8vNwApTTXSp3ElrHilJ5a+bJkhJzezDXAejHM3/YO0wxwRGoLxw5q53L/o7vY1bPXBfy/1UHycY/BL6Vu8I/+6sviFHhg/rJnt+5QLtgqCgPs71bLlbJYOUFtXQ/39bFe7FIqA8ipIV9S+1+kPtEWzqqXw0YiWEAQBfz9nHxhVGySrXb6424No0mozKjwEX9zfFre0rIrJd7TAqld7IzIsBC2qOU84UNpD4b6OtTQFKQBLahXrYLKWNI5WLauXxn0dauK1gY2w+38DFAfim1crha8fbIsv7muD8UOb4s0hTbDiFdfpu6ykaYUay+yXZ9WtfgV0cPg+5NoJxcJC8GK/hraB4waVSmLskCa2Y3OVhtSZd7Wtjid61HUZ2JE2f8cMbmw3gAJYgolW7rYjT029BUNaVHGaLWo0PbnhSxcLw2f3tbG7ptSvWFzXqiPpbN7Hu9dBBZnJRX890xU73+6PEe3sZ6s+1dO+TS+tE3e+3d9uJaAjuRSVjvWctE9gvZZIrymCYLk2SFcAaO1X3dWuBsJCLKkgpX2sxS90x7hbmqimdn24Sy1UlHzWVjXK4JUBDe1WCgPO9Xj72mUxvE0123cu/bzP9Kpnt+9ha4WJT2Uldbtjl6l3o4qoV7GEXYBH7uuwBmkcVz+UKxauuppCSZSLwKk755zcU6LCQzC8TXWsfb2P7To6VCWl7a9PdMLTPeti/rNd8XTPuqheJsplym095NKIfv1gW5SICLVrx2vxw8gOTv2XhpVLIubDoTg55Ranclu/H+l3u+j57tg3YSCiwkPwv6FN7Z7jOGnQsb8nPW/+eb4bnupRV3FSgzQjhShaZv//b2gzu1XVz/aujz3jB9itirLW046BTXdSObapWcZu0oaS8UOb6lo964pceirAci7Xr1hCdtWJ9Fiedncr/OvQ9uusoU/tqKLCfk8ANE9ekWpQqQT+eV69rf+xQ4DM+v23rlEao3rVc6pPrNTO//9e6mFrQ1UtHWXru0onEoeaXK8KbFatFB7vXtdpBaE1GOm4is+qebVSuL+jpX2l1G62qlOhOIa2qqp6jVn8Qg+8MqChV4MNH9/dCuNuaeK032uITL9b7buXG5PTa0iLqpjhkOa7epkon2VYcFe7WmWdJoQClnbBMy6+F+v4hrufcP6zXVVTdJNrgbGekYKCuyeqXMdTLmA9uHkV3K9x746+TSqhb5NK+HX7edn7K5eKQOzNLJevM/fpLkhKz1ZcDeKoZY3S+Oze1rZBIm8qXyICj3Wrgw0n4uxuf65PfYzqqe+iU09lBnnneuXtGk+CIODL+9viy/vbIjvXjEbjlwMAWih0pqSBM+n16pcnOmH8osO4mJjh9JyX+jXArS2rqjayyhYPdxqEUPNSvwZ2g4fb3uqHY1duor/M3hGOWlQvhYc610J1D2aXfziiFZ78eTdekMy2Uxp0KR4RqmmVlxKlWWaOJg5zfpy04bfw+W62gWMhf+a7HqEhJnx0dyv8ueciAEuKho51yqGjw+BWpGSAb8Fz3Wx7XjimSNHrXo2bBsoJzQ94pGTm2oKo4SEmZOeZnR6rNmNPD2l6vHddbJI57Z7WSEjNwq5zibi7fQ10d0pZJyDEJNg6ECUiQpGalWv3CGswZdrdrfDOkqOYOdI5L3iDSiVw+nqq0yoWq/s61sSqY9fQp1HB/dJZLoIg4N8Xe8AsiggNMeHoe4M1D+g6jla9NqgxXh3YSLFzYAvKqcx4kpvdCEDx2O7TuKKtjq1boThOxqaqlxnyS/VdqVwqwqnTKt1zSm5fpqEtq+KJ7nUxbeUJ220d65TD5aQMnItPw+Q7WmDCoiOq7/vdw+2x9PBVu3pJSvr5HUl/B+nA2hf3tcErfx6w/XtQ88r4buMZ1XIAln2aptzZUnNwVUoa/AzL78x2qFMOK1/thTpvLbXdt/nNfug0dQ2ycp3PYznWQ+ngO4OwaP9lrDh6DaP7N8Sd326zPcY649dKmmKwd6OK+OWJTnZlUHoPb+jftBKmLjtu+7cgAH8921W5PCplGdK8Cr58oA1y8kTbb/RYtzqKOcDb1y6LvedvACjYj0EQBHykMgt445g+qFWumOw5Ljf7slHlErLnpHRyQ7HwUFQvE4XLSc5tDTk9GlbAP893Q9li4fh09Un8e/CKU3DXUfUyUehctxx2nktUTBOo9WeWDsArnZdyShcLcznBwkpv6j850u++XPFwrH2tN9pOXm33GLmq+tGutZEnivhtxwXbbb9LBmarl43C6euW1+3dqJJi6hrHwTDr4O5XtvLJfxfW12tdszQW7LsEAPj2oXZOA/MNKpXEh3e1RKVSEbrS31kfOqhZZXy19hQA5TR10nPf+g71KpbAH091RgWZAUi5jcEBy2Dl0feGOE0MaV2zjG3297cPtcPzv+9zeq5j0Amw7H+RlpWLHzafKyirwxFs7QvIcVxZ+NNjHdFhyhqnx0lXs3SSrDI/PmmIbNBDFC1Bh5iENISaTPh01QnbRIQ721bHgYtJ+H2n5bgqqzE1mt1n0vmY5aN7YuPJODzevQ5+3hqDSzcyMGeHpd/5ZI+6+GmL5fsrXyIcp65bnlMyMlQxO8E7tzXD0sNXZe+rWa4Y/pe/6qljnXL439BmyMkzY97ui/hx81mcT0gHYAl0PP3rHtnXmPt0F0z67xiOX71pu+2xbnUwqFll/LHrgtPjh7WqhiHNq+jOwqCWbi881IQ/nu6CVu+ucrrPboWqSUB4fqexWHgo/nupJx7+cSd2nE3AnW2r49sNpzWVpV7FErZ9URc81w0jZmxTfKxaHV2hRAReHdAQ/x68AgCKkx2lwfu6FYrjXHya8/u4ec23BoRjPhyq2qZw1KtRRWw66dyOk14H+jauiPX5bb0uKhkfpLSungsLEZCTp/yhLZkXInA9xTIu897tzZFntrQz+japhI5T7esO6UqnBzvXwh877Y/dL+5r4zLQek/7Ghj79yHbv+eN6oItp+LRvk5ZlIoMw1tDmqDe28s0fT4raTtY6sHOtRAaIqBSyQjZ/s/+CQORmZuHtxcexvWULMW+76ThzTGqVz3FMSZBEPChgYGRWuWLye6F5I4Qk4A8s/MxUKNMlNOEZncMa1UNby047NTPDTa1FH7bng0rYPOpeN2vN+7Wppi56azLx7mT4nfKHS2cxnNIPwZbSDOTScDYIY2RkpmLGRvsB1YaVy6JE7Epul7L6oW+9bHldALu0JleQMoxHc2/L/bAxpNxGCO50MoJMQmaAy1Wd8l0XKRKR4UhOSPHaa8Ed8gNgD7bq77L2YqOA69ac+g7Cg81YfWrvRB9LQV9FPKYShtzxcIKqpTejSpiVM96mLD4qNNzBEFwa0aaGsfZw9XKRCluLC9XnqkeBD8Ay0DRhjF9XT8wAHz9YFucT0g3ZJWGlFIH45WBjTB/r2XQo0KJcJ/l9XfFMeAx5c4WGPv3IadcuEqzXv53a1OMXXBIcdPVmuWicDExA+/d3hxxKVl4qIt6MHnbW/3w+87ztoG/8iUi7GZ7D25eGSuPxso+V1rCMYMbIyLUhFr5A6D3dKiJEe1qyH6O5aN7IiMnT7GOiAwLwe9PqacNMJkEmPJLoCdgJ3e4GHFsfPNgO7zwh/2g04CmlXFHm2pOaQm+e7g9mkxYgeLhIfhhZAe8/c9hbD2dYLv/0a618cv283aDXIIgQBBcd6j/e6kHhk3fgrAQAfOf6aZ7g0mlYPPy0T0Rl5KFmuWK4a/dF3H4crLiawxpUUU1ODTr0Y6YueksPloR7XSf0k9Rrng4apcvZhv8aVerLH59ohNGztoFwLKyKS7FebKDIAhuBVqs7/m/W5siNERQnZlcOioM28f1x23Tt2gefAcsx/n9nWppmvARGRaCP57qjOPXUmT3/nGkdWXLO7c1w3v/HrP9u3b54nbHohxPz5fXBzZCixqlEZ+ShVtaVkVEaAikP5E00DKwWWX8vC3G9u8Fz3WDKIo4dvUm6mhMo6g33eIvT3TCkz/vwTHJ4OEdbaqhWLj9cSTdpLuVhvSi1vbZV/e3wbS7W2nagPa7h9vj30NXcFt+uiLHwQWtqQD1DsR9fHcrHLyYhIFNLXuSrXilJ4Z8sVnfi7ihe4MKtmBLeIgJZYuH48eRHfDMb3ttn9txFm+oSbClaLQGW0b1qmc3WeD7R9qj36cbFd+3XsXiWPpST4SYBPT6eL3t9m4NKmDbae2DEdLv+VaFFQVq57vSmWUNILSoXhobx/RBxZIRTsdj1fz0RcUlt0vbyt0U9vtrUqUk2tYqg4oy/RJXkxi6S1b4LniuG1pUL4X41Gztq+B1HJeOg4EVSkTg5X4N8NU6+wHyhpVKoFPdcihfPBxtapbBgue6oUbZKNU6vFejiugFS3/jgU41bXVcaIgJU+9sid6NKuJGejZqlS/m9XRMTauWsqWsfSZ/5c/kO1ogOT0HpYuF2YItJSPD8N9LPRAWYkKjyiUU6+VKpSIR8+FQiKKIhfsuY+LiI6rZHMJCTHikS200qVIS93y3HYOaVVYNdHStXx7LR/e0G6h/oW8DVCwZIRtsAZQnhXnCqT2p8Yf6TRKUVQo8qmlfuywqlAhHfGq27P2uUhNJg4NKWRFCBAG/PdkZadm5aFiphGxdJn0X2VVnko9WPDwEadl5Tvt8DmleBSuOXlMtr9Xn97ZGe4dg550OYyqzH++Ei4npWHb4Kh6SBEvvalsdC/dftq3Y0RsnKlc8HDvG9cdnq0/CLIr4XmHgd/ywZnh57n5ULR2JRxX6TIBlD01pfS39ycYPbYrLSRloXs31ii9BEPDubc3w7r/HcGvLKggLMdnto6fUr5PbbxVQT2kJOGdIkbK2o2blr1pSqh8EQXB7Mq/SHrJytO5Ft8BhFbeaVa/2QlpWLjafirebIKZ0PHWpWx4zN7oOEkjNfKQ9Hvpxp+3faue6Vq4yGki9d3tzvLPEeUxLD7VVXu5a/0Yf9P1kg+x9xcPd63O9f2dLWzYi8gyDLaTL830sF2NpsOXQu4NQMiIU7y45qnkTxoe71MZfey5iSIsqGDO4Ccboy4Jjs3FMH8zeGoOnetrnfqxUKhL3dKiJSzcyMH/PRVxJznTvDdyw8+3+yMzJ0/xduPJi3wb4ev1p3NW2OkYPaKgpLcSL/Rrgw+WWwbMaZaN0baTpqGHlkrI5ma0iw0Iw/YG2yDOLzmXzwaD6vFFdsCcmEXe4kQezsFPqWGjNbW2UypLGhS822nPXvR1qYmDTyoozuZ0e37Emejeu6JTT2GrZyz1xNi4NrWqU1jQoWq1MFMYMll8+DgAzHmpvm4mlli5Jbra0UsciLMRkyCxod3gjJy9gSWfoKMQk4AuZWbqRYSE4NmkwQkwCIkItgSXpQMU7tzVH/6aVnWa0VSxRMEtPSYvqpRHz4VDN5e5Ypyx2x9zAHW2q4b3hLVA6KgyZOXl2j7GmojFqdaXJJNilArqvQ03bSjXHlYdv39oE0VdT0KNBBadhkF6NKmLlK71wIz0bZlHEgz/sNHyz1ac1phEoVzwcG8b0QfTVFNz29RbZx1gHGF7u57w0X4tuDSooDpg6Kh4RigMTByIsxITm76xUfNzj3etieJvquHwjA/FpWWhfuyx2nE3weFN0aWq9nx/viGd+24uUTMtkjHIlwtFXYVWbI+fVdZbBAVcrFK1BCbVUR3LeHNIEVUtbVhXl5JmRmZOHyLAQ2fpKOjCnJw2LIAiaAi2AZcBEugJmx7j+OBuXipw8EcuPXHW5Erd7g/KIiU9H82qlsOqYfND8zSFNcOp6Chbuu2wpHwTc26Gm3UBOkyql8ECnWpgrGTw9PmkIbvt6i23FiJK72lbH2ujrSM7Ikb3/3xd74PGfd2Hs4CY4fu2m0/0DmlXG6am3YMfZRISFCKoBgF+f6IT/Dl1xmryglmZ2ZNfaeLpnPdtgvJaBkMgwEzJznFeyeev6Iq37HIOHsx7rgI0n4vBgZ8tgZuliYfjy/jYINZk0HWcmk4CFz3XzOIhas2wUIkJDVAMtju/h6tuqXkY+iG71XJ8GyDGLtv3/AMvn+euZgn3dtKRSUisjANvecoAlEHn/9zswVibtzj/Pd7NboWh5PV1vr8ixr1O1dKTirHc5giBgRPsauLNtdU0pbDrWKYd9EwaijEzavrvaVbfVF476NakkO7jXo0EF3OfBynBfaFG9FC4kpvv0PWuXL4YeDSqgZGSoU932SJfaOBGbgi71ytkCVLE3XY8tyE0slE68OfLeYGw7k2C3DyVgX/eFh5qQnb9a17oaXapc8XA83KWW3WrCW1tWxbro63aPq1mumC1oaDXtntZ4sV8Dt9KdLny+G5pVLYXwUJNt3xulYMttraqiaulINFJJVV2ueLjqhFbHVJCuPNqtDrrWr6C6P6SjAc0q47cnO+PhnwoG9Z/sUdeQjc29NdHwlhZVdGXLkKaodtS5bnnUr1gcDSuVdKqv/xzVBZtPxeOl/g0wcdFRW18BKFiZ3KpGGftgi8OFZdtb/XDqeip6NayA21tXw5KDV9BbYTKvo9rl7fs9jum+ve3BzrU8DrYo8eTYUDt3rddGtZefNLw5Vhy5hrva1cAb8w8CADrVNXYyblEWuKNeFNCqlIrEtZuZaF2jtG0Gi+yGwwpKR4VhowGrAGqXL66ajufVgY3wyoCGaDxhha2hotVTPerirz0XnWaHuBIZFqK5867F64Ma4a521VG3QnHNlXH/JpVswZYtb/YzrCxKtM6S8IYu9cpr2pfFGzrUsVyMfLWhXKBropA7PzTEhG8faofMnDzZHOuBRGugxaqyymynkpFhqhs86mUyCZj+QFtkZOc5bfz5VM96+HzNSdm83IHGmvJHbYamGqOH0BxnJR+YOBB3fbvNNhDSS6Yj0KhySZfBFr1+HNkR609cx6DmlZ3KZOWNzpq0U//R3a0wvG01HLty02nT2lG9CjrpcuWQ7p2x9a1+dkFWXwsLMaGlygqHT+5pjVcHNvJaSlDHTWS1Tr4oVzzcLtXjutf7qD6+mIaN26Wp9bo1qICDEwfpTp9hZRIAmUwRqk5PvQVZuWZN7aJJw5vj01Un8ftTne0GL/UEhfWuVnZXxZIRtoFMV/sfAZa9Yswi8PLc/YqPaVm9NAY2q1QQbFE43cfd2sQu2BIVHqJp1di7w5vj0W51MObvg3j7VufUVy1rlMbu/w2AIAh479+CQQX7vUcETZuH92pUUbbudCQNlE1y1Y+Q+T6WvdzTNrtcOhjTo6HlvSPD3JtMIB2kDpH8EGpVcL8mldGvif11Te+GuO7W8aGS1ZdazpXBzavYDYy6Ck5Nf6At3vv3GJ7pLT/gGRUeorjXgLe0rVUWxyYNkW2Dt61VFuWKhyMxrWDmszurJbTopuF8kKNnrwC5vR8AYOKwZtgdk2i3GuDWllUQezMLP0pWzUiPq9/c2C/SE+5871PvaInqZaIwQmHfESXv3NYcL83dX3Cc6nhrQRAUvxu5vcvcPZo+u7c1XvpjP17s1wCCIMhOZJCejl3rlcfGk3GKE7vk6gytc6hCTILLfVatrNeYBc91RWJajmx2hI9HtMLYBYcw8xH7tMXWvSL1uq11VczddcFpoN3R4XcHYf2JOLvrqyAIqnu6yQkLMdldz5tWLYUJ+WnqAk210pG4kpyJT+5p7XIiozUdW48GFVQn2FgymvSWvc5J085LU4jrKrMk68iHI1piUPPKtmBLZGgIyhUPR2ZOnmzf2t1rY6sapfGoQqpYPXMyjJqYOLxNNSw+cMWhHK4LcmDiQLSZtFr2PulEOSm5YHvHOmXRrnZZ28qiTnXLYWTXOsjJM9uCLWQcBlvILfNGdcGv288bsmGVtwmCgCPvDsb0dafwgMY9YQDL6ph94wf6feMsQdDeELJqWLkklo/u6feB7cIegqhaOgrbx/XTnR7IV5ppWGpthPVv9MH1m5mqK6CU0niQPkqBzZf6NUDvxhXRrKpvfnNP/PNCN2w+GY+hrYw7Jn55opPtb3c3kbcqUywc697oo/qYamWM3zCwdLEwl+k0fVGndqtfAd3qa09JIEdz6hoDyeVCXvh8N/y+4wLWn7huN+hmMrmfrsGVBzrV0rSJ7LFJg9FsovJKFy0ql4rEm0OaOKWBm/FQO0xddhxLXuzh9Bxpm0ZLsEZq1mMdMerXvfjgLu2zKPWsHhnZtQ4e7lxbd7srQDJTqhIEASH5K9MczXqsA6KvpaB7g/LINYsoVzwcxSNCEKrwPZSKDLOlSLH69N7WeOH3fXhJZbVWqfwJAKteVV5lZB3Q6Fa/AmZvjdH46dwjCOqrV14d0AhvLTxs2+hZ7hyvV7EEjrw3GOujr6OfJE1Mg0olsHFMH8VBaldKRIZizWu9EGoy2R2PpgA92IpHhGLcLU2QaxY1TRppX7ss5j7dBQ/8sAOA6yBqzXLF8OOjyimvjKB35QugPtnpr2e6YvAXm2T3ElCi5+dd8mJ3HLqU7DQxwdus+5K2rlkGZYqFY9OYvnYDkd8+5Lw/34h21fHvwSuKk6K8yVo0pf0K5JQtHm7bw0aP21pXQ8+GFWQnOBi92E0pJZCr96lfsYTdPnByykv2rPr8vjb4ZVsM7m5fA4/N3mW7/f07W6KEwip3dwem1Z71RA9LFpH2tZWDJvd2rIk721XXNTBtXZXzxiDnvY661a+ANa/1QvUy6sdOycgwj9v+0uvH94+0x5drT+HL+9t49JretHFsX+TmiappGa0m3d4c93aoiRYaxgU8HffqVr88tp2xpMBVu74XCw+1y7RhMgnYMa4/RIiyx49jQELpEF/8QncM/2ar7d9y7WArPSsSjfLx3a1w/WYWkjNy7FLkuqI2aWvyHS2w5XS8Yvpk6Vc1/1lLejhrsMXd9M6kDb9dckudCsUx8TblRpB1o2kts9p8ITzUhNdlLuKu+DvQ4gnHJcn+4I+LmK9VLe37QUVXdr7dHzfSs+02MvemuhWKu7UEPVh4c4Nro5hMguLm8IGmUslI3bMVpaQNw81j++JqcqZdyqqwEBM2vNEHuWYRgIgSEcYHQ8fd0hR/7blk+Ou64ti5CNBxP79w3DwasOwn065WWYxfdNiWYsPbKzHfv1PbKl+l1Ut6PdenvlOw5ZaWVXGLSoD7f7c2xc5zCbpTSvZpXAnHJ8vPJDeKO+2uUjLpdQLV2CGNcfzqTbt82NIVEWEhAna+3R8C1AfMHO+rX7GE3R5fnhrQtGDg6aHO2lKoGF0f3d+pFro3qGAL3tYoWwx/PNXZadChRESo7Hmtd48gRw0kKW+aVCmJ6GspPh9Y18MxRZAr0skZant7edv6N/pg+5kE3NPB/XaBnAaVSuDQO4Ns6Ru1HJ96VmG0qlEGrWqUcbN07pv/TDfM2RGDJ3tYJjxqGVjv07gS1rzWW/PeUkq6upFJwFq6R7vVQezNTLu9M7xBaVBSz/4MWgiCgKPvDcYPm88afv6MGdwEV5MzcW+HmihXPByvDnTeyFx6DXHcU6RUZKjHwQersUMa49+DV/Fkj7quHwz9KwAmD2+B5/s0UNxntYFK6jEpdy8/neqUwz0damCw5Dcc1LyKXcrCQGRZ8avtsaEhJp/1EX8Y2cFW5+rtP7vam0wLre3BF/s2QCOZSaJzn+6C9/49iuhr2veidipDZChuZubK3hcRGoK5o7ogNSsXXd5fq7oHUUOV/Y1bS6494aEmdK5bDgv3y6eUHNC0MubvvYQ6khVi0+5uheSMHJ+NFRVVDLaQV2x9qx9OxaZoSjVAhVebmmUw+/GOqMmK3Kcql4pUTW9FFMxGdq2DbWcSMLBZZdQsV0x2hUIdLwf/yhYPR6hJyA/o+E4fL0xgcCeYWKd8MZyLTzO8LJ5QS6Mw7pamqFAiAqWjwnB/R9crXJ/tXR/fbTzj1godb+Xl1kLrb/l0r3qa98BxFIhpM6fd3Qovz92PZ3UONvtD5VKRLmc1+2sfLSlBEHB80hAcvJTkVvoXetP0YgAAKlhJREFULcoVD3c5uO1Yv2vdK8lo/73UA6lZuYbtx+hILljsbaWLhWFUr3pISM322m+shTcn7EjrK6MGn/2tVvlibq36kNs/RC9PLm/hoSaMD9CUTO4qHhGKVwbYB0KMCOqUKx6Onx/v5PqB+Z7qWQ/n4tNxOSkdjSqXRLtaZVGnfHHsOJtgWxnoruf7NLDt2esNgiAoBlp84bVBjfyWjrwwkrbFjewhObatq5eJwqUb8is5tFD6zbvWL4/XBjbCqDl73X5tLf2AEhGh2DdhIMJCBLykkF52wfPdFJ9fy0VqPal3b2+ONrXKYGDTgjSn93Sw37cr8Fr2hQODLeQV0lzWVLRp3XyXiEiLqPAQu7RhRcWYwY3xcBfPN+l05E5n6KMRrTB12XE84oXy6PX1g23x9brT+OzeNoqPkRsQUfPqwIZoXKWEbC51Cjy1yxfHYpVUEYWRL2J6UeEhXhmE+vL+Nlh1NBZPdK+LU9fdnz3qTY5BoNAQk1cCLX883RnvLTmG93Wk5jOS3N49hUlkWAjG3dIEmTlmp73u5HC1qDq9+xr6m/TnbFY1+LMt9GxYEWfi0lDSIX1YZFgIPr23td1t5UtEGLrasbB5bWAjnL6eik5+DDQXdmWLeW/V8Wf3tcG7S45iZNfaeOSngvR6IS4q8fFDm+LYlZt2e21Z07JOyd+baVDzKtgzfgA+XhFtl8VgxSs9cSEh3WUgRut1xLqSZ1iravjv0FWn+0sZlKa+eESo5hXKZCwGW4iIiFRUKBFcnUvyjcqlIhXz4xolXDLD/YnudRHqMOPdiP0D9ORRt6pUKhJf3t/W4/c2wrBW1XSnw3IlIjQEd7Y1NqWNnJf6NcD0dadxr8Hpc6jwU0s94S9aUzANb1Nd98bxhVW3+hWw8lUOiHqTlvRqPRtWwOZT8R6vAiisvnu4PX7bcR7vuLEyxZ+rPQc0rYylhy2DmHo3Sw9Ebw5pgroViqN/U+9MZGxQqQRWHYv1ymsbzbpBvLte7q+8vxl55ov72uBiYrpX0yxWLxOFH0Z2QFZunt3tNctFoVPdcth1LhEv9nVekfVUT+dV3Y91r4sR7WvY7cErt+9xkyql0KSK67ZXZGgIgBwNn8IiEFeMkzEYbCEiIpIx46F2OBufhg6c9UQyZj3WEe8uOYrXBmlfMaGXySRg34SByDWbZTfB/GhEKzzy006POo29GlbAhGHN0LRq8A9E+MvIrrXx6/bzGKUzNderAxphcPMqHm9afEebalh04EpQpNEiY7SvXQ4/PdrB431JjPDawEb4bPVJTNW4X5GUnj0yfOGe9jWwOyYxoPdmIc+0rVUG+y8k2d32y+OdkJ6Tx82CFQxpUUXXviS7/zcAHaeuAQBEhvkvfdsHI1qiY52yuFVlDzPDeTG7bFR4CB7tVsdrr/9ivwbINYtBUf/98kQnTF56HK8MsLR//RnUI3t3tPXuZIofR3aw/e3YhhAEAX8901X3a5Y0aBVJh9pl0bdJJUxbeULzc8wBsDkszx/vYIuCiIhIhtoG00SNq5TE3FFdvP4+5VTSdjSuUtKymbYHjWRBEDRvfEryJg5rhrva1UALF6sN7u9YE/N2X0Tv/L13TCYBLap7ntrk47tbY2S3OnYbZlLh11+Sf1tJ57rlsPNcolfL8XL/hni0ax2U9mLKEF+Zdk9riKLIgYdCrKxMOjiTSWCgxUAVS0bgu4fbQRAEFAv33/daKjIMj3X3bfvG/8Om7isWHho0qQUbVi6JXyUphVljFx2d6wXmJMjJw5vjka51MHvrOV3P07tn2bBWzuMT0nqnTvliePf25rpek7yDrQoiIiKiIMVBQf8LDTGhTc0yLh/37u3N0a9JJcM3+Q4PNaFdrbKGviYVDl890Bafrz6JR7p6N1+3u4GWOhX0pzH0NtaphRt/Xd8Y0oITlsh35FZ/k/cMaFoJa45fR78mvt+bVymgOaKdf9NAuhtobVS5JH4Y2QFVS0di2PQtLh/vKu3YhjF93SwJGY3BFiIiIiIiL4sMC8GgIEjPQYVH5VKR+HBEK38XQ1HJyDDs+l9/RIRwoIyIgt8jXWrj+01nMZSr432qa73yuK11NTSuXMLfRSkSPr+vDdYcj8UADStsjaAUXhAlIY4SEca2I1rVKIO/9lzS/HhrNjC9K1UAYGAz33yP5FsMthAREREREZHPVSoZ6e8iEBEZoma5YoiePAQRof7bq6YoMpkETH+grb+LUWSUjAzDnW39s5JEusVJmKngPBtp8H5GD3SqBVEU0bleebvbJ9/RAhMWHXF6vHXvld6NKuK925ujadVS+H7TWaw5Hotu9cs7PV6O3J5ijuoEwF59pA2DLURERERERERUqHWoUw5ro6/7uxhUiEWGcaUekZGqlo5EpzrlEBoioFRkwRC2ySTg4MRBuJmZg5rljE1LGmIS8EjXOk63P9KlNt5fehwZOXl2t1uDQIIg4NH8wE+TqiWx4sg1DG6mbVX7qJ718Nzv+2Tv++uZrlh97Bqe61Pf6b7qZaI0vb4SaWayqqU9ey0qwGALERERERERERVqT/aoixKRoehh8N5ZRETkHYIg4M9nutj+lipdLMztfePc1btRRaw4eg01ykbh0o0MAPJ7tpSKDMO9HWpqft36lZTT4HWqWw6d6paTve/5vvURn5qFW9xMXygIAvZPGIgcsxnFIxgiMAq/SSIiIiIiIiIq1MJDTXikS21/F4OIiHRwDLL400d3t0L72mUxrHVVdP1gHQBAFOXCLfo0qlwSP4zsgMqlInQ9r1h4qMf785UtHu7R88kZgy1ERERERERERERERApKR4Xh6V717G4zINYCABjYrLIxL0R+x527iIiIiIiIiIiIiIh0EGUTiVFRxmALEREREREREREREZEORq1socKDwRYiIiIiIiIiIiIiIh0YayFHDLYQEREREREREREREWlQPDwEANCrYUU/l4QCTai/C0BEREREREREREREFAx2vN0f11OyUL9iCX8XhQIMgy1ERERERERERERERBqUjAxDycgwfxeDAhDTiBEREREREREREREREXmAwRYiIiIiIiIiIiIiIiIPMNhCRERERERERERERETkAQZbiIiIiIiIiIiIiIiIPMBgCxERERERERERERERkQcYbCEiIiIiIiIiIiIiIvIAgy1EREREREREREREREQeYLCFiIiIiIiIiIiIiIjIAwy2EBEREREREREREREReYDBFiIiIiIiIiIiIiIiIg8w2EJEREREREREREREROQBBluIiIiIiIiIiIiIiIg8wGALERERERERERERERGRBxhsISIiIiIiIiIiIiIi8gCDLURERERERERERERERB5gsIWIiIiIiIiIiIiIiMgDDLYQERERERERERERERF5gMEWIiIiIiIiIiIiIiIiDzDYQkRERERERERERERE5AEGW4iIiIiIiIiIiIiIiDzAYAsREREREREREREREZEHGGwhIiIiIiIiIiIiIiLyAIMtREREREREREREREREHmCwhYiIiIiIiIiIiIiIyAMMthAREREREREREREREXmAwRYiIiIiIiIiIiIiIiIPMNhCRERERERERERERETkAQZbiIiIiIiIiIiIiIiIPMBgCxERERERERERERERkQcYbCEiIiIiIiIiIiIiIvIAgy1EREREREREREREREQeEERRFP1diEAQFRWF3Nxc1KxZ099FISIiIiIiIiIiIiIiP7t48SJCQ0ORkZHh8rGhPihPUIiIiPB3EQLKxYsXAYDBJyIqlFjHEVFhxjqOiAoz1nFEVJixjiMKPKGhoZpjB1zZQrLq1asHADh79qyfS0JEZDzWcURUmLGOI6LCjHUcERVmrOOIghv3bCEiIiIiIiIiIiIiIvIAgy1EREREREREREREREQeYLCFiIiIiIiIiIiIiIjIAwy2EBEREREREREREREReYDBFiIiIiIiIiIiIiIiIg8w2EJEREREREREREREROQBQRRF0d+FICIiIiIiIiIiIiIiClZc2UJEREREREREREREROQBBluIiIiIiIiIiIiIiIg8wGALERERERERERERERGRBxhsISIiIiIiIiIiIiIi8gCDLURERERERERERERERB5gsIWIiIiIiIiIiIiIiMgDDLaQnfXr12PYsGGoWLEioqKi0KRJE0yYMAFpaWn+LhoRFRHXrl3DnDlz8PLLL6Nr166IioqCIAjo06ePy+fm5ORg2rRpaN26NYoXL46yZcuib9++WLhwocvn7t+/H/fddx+qVKmCyMhI1KtXD6NHj0ZcXJzX3pOIihZRFLFt2za89dZb6NGjB8qXL4+wsDBUrFgRgwYNwu+//w5RFBWfn5qaivHjx6NJkyaIiopCxYoVMWzYMGzYsMHle7vbxvPkPYmo6Jk/fz5GjRqFDh06oFq1aoiIiEDJkiXRrl07TJgwAQkJCYrPZR1HRMFm2bJlEAQBgiCgTp06io9j/UZUhIhE+b766itREAQRgFijRg2xbdu2YkREhAhAbNq0qZiQkODvIhJREfD555+LAJz+6927t+rzMjIyxB49eogAxJCQELFVq1Zi/fr1bc9/8803FZ+7YMECMSwsTAQgVqpUSWzXrp1YvHhxEYBYtWpV8cyZM4a/JxEVPWvWrLGr1+rVqye2b99eLFeunO22oUOHipmZmU7PjYuLExs3biwCECMiIsS2bduKNWrUEAGIgiCI33zzjeL7utvG8+Q9iahoat26ta3OqFOnjtihQwexVq1atjquUqVK4oEDB5yexzqOiIJNSkqKXf1Wu3Zt2cexfiMqWhhsIVEURXHPnj2iyWQSBUEQZ86cKZrNZlEURfHy5cti+/btRQDiXXfd5edSElFR8NNPP4kDBgwQx40bJy5cuFCcMGGCpmDLyy+/LAIQ69atK0ZHR9tuX7x4sa1BumTJEqfnXbp0SSxWrJgIQJwwYYKYk5MjiqIoJiUliUOGDBEBiB06dLDVi0a8JxEVTatXrxbr1q0rfvnll2JsbKzdfb/++qut3hg7dqzTc2+//XYRgNi+fXvx8uXLoiiKotlsFmfOnGkL+O7fv9/peZ608dx9TyIqur7//ntx48aNYnZ2tt3thw4dElu0aCECEJs1a+b0PNZxRBRsXnrpJRGAOHz4cNVgC+s3oqKFwRYSRVG0XRxGjhzpdN/JkydFk8kkAhAPHjzoh9IRUVE2ffp0l8GWa9euieHh4SIAcd26dU73WwM27dq1c7pv9OjRIgCxV69eTvclJiaKpUuXlg2aePKeRFQ0JScnOw1ASk2dOlUEIJb7f3t3Hhx1ff9x/LXk2CTkIAmBhEAOkwhyyGUBTTUcdSCCQSCMdkAjUvAAdBSlSGU8YFqxFq1HC04p0VZBQat0FBkhAY0IqUAqIPcVjopAzs0d8vn9wez+WHY35EBCzPMxs+Py/bzf389nd533bPLO5/sNCzPnz593HN++fbuRZNq1a2cOHDjgknfvvfd6/IG7qd/xmjMnALizdetWx1+Af//9947j1DgArc0333xj2rVrZ8aOHWuWL1/usdlCfQPaHu7ZAtlsNn3++eeSpOnTp7uMJyUlafjw4ZIuXIMXAK41a9asUXV1tZKSkjRs2DCX8QcffFCStH37dh06dMhpbPXq1ZLc17/Q0FBNnDhRkvTBBx9csTkBtE3BwcHy8fHxOJ6amipJKigocLpflL1ODR8+XImJiS559nrz2WefOV2/uznf8Zo6JwB4csMNNziel5eXO55T4wC0JjU1NZo2bZoCAgL0xhtv1BtLfQPaHpot0I4dO1RVVSWr1apBgwa5jbn11lslSVu2bLmaSwOABrHXJnutulR0dLTi4+OdYiXp+PHjOnnypCTptttuc5vrqf41dU4A8KSiosLx3N/f3/HcXkM81alBgwbJarWqsrJSeXl5juPN+Y7X1DkBwJOcnBxJUmBgoLp37+44To0D0Jr84Q9/0K5du7RgwQJ17dq13ljqG9D20GyB9u/fL0mKiYnx+NeWCQkJkqR9+/ZdtXUBQEPZ65i9Vrnjro7Z83x9fT1+UbbnHT58WDU1Nc2eEwA8WbFihSSpb9++Cg4Odhy/XL3x8fFRt27dJLmvcU35jtfUOQHgYnV1dTp16pQyMzN1//33S5JefPFFBQYGOmKocQBaiz179uj3v/+9BgwYoFmzZl02nvoGtD00W6CCggJJUlhYmMcY+1hhYeFVWRMANEZT65g9LzQ0VBaLpd68uro6lZSUNHtOAHBn27ZtWrJkiSRp7ty5TmPNrXFNqVPUOADN8eqrr8piscjLy0vR0dGaMmWK4uLitHbtWs2YMcMplhoHoDUwxmjatGmqqanR0qVL5eXlddkc6hvQ9tBsgSorKyVd+MtuT6xWqyTny1sAwLWiqXWsMXnNyaV2AqjP6dOnNX78eNXW1mrcuHG65557nMavRo27tE5R4wA0R3R0tJKTkzV48GBFRUXJYrEoLy9P77zzjoqKipxiqXEAWoO//vWv+vrrrzVz5kzddNNNDcqhvgFtD80WyM/PT5JUXV3tMaaqqkqS8/XDAeBa0dQ61pi85uRSOwF4UlxcrNTUVOXn52vgwIHKzMx0ibkaNe7SOkWNA9AcEydOVE5OjrZs2aJTp04pLy9PgwcP1ooVKzRs2DCdP3/eEUuNA3CtO3nypJ5++mlFR0dr4cKFDc6jvgFtD80WKDQ0VNL/bzV05+JL7QDAtaapdcz+vLCwUMaYevPatWvndA8FaieA5rLZbBo1apR27NihXr16ad26dU51xq65Na4pdYoaB+BKuvHGG/Xpp5+qY8eOysvL08qVKx1j1DgA17pZs2appKREr732moKCghqcR30D2h6aLdD1118vScrPz3e6+fPFDh065BQLANcSe206ePCgxxh3dcz+vLq6WsePH683Lz4+3unmhE2dEwAkqby8XKNHj9aWLVuUlJSk9evXKzw83G3s5epNTU2N8vPznWIvft6U73hNnRMAPAkKClJKSoqkC/epsqPGAbjWbd++XZL0yCOPKDIy0unx2GOPSZKOHz/uOLZ582ZJ1DegLaLZAvXv31++vr6qqqpSbm6u25ivvvpKknTzzTdfzaUBQIMMGTJEkpSTk+N2/OTJkzpy5IhTrCTFxMSoS5cukv6/zl3KU/1r6pwAUFlZqbS0NH355ZeKjY3Vhg0bFBkZ6THeXkM81anc3FxVV1fLz89P/fr1cxxvzne8ps4JAPWpra11+q9EjQPQepw+fdrlUVJSIkmqq6tzHLNfwov6BrQ9NFugoKAgjRw5UpL01ltvuYwfOHBAWVlZkqT09PSrujYAaIixY8fKx8dHBw4cUHZ2tsv40qVLJV340pqYmOg0NmHCBEnu619hYaFWrVol6cK1x6/UnADarpqaGk2YMEEbNmxQdHS0srKy1K1bt3p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    " ] @@ -2346,10 +2317,10 @@ "id": "a3884662", "metadata": { "papermill": { - "duration": 0.031284, - "end_time": "2023-09-27T21:14:54.854884", + "duration": 0.019528, + "end_time": "2023-11-06T21:38:21.362056", "exception": false, - "start_time": "2023-09-27T21:14:54.823600", + "start_time": "2023-11-06T21:38:21.342528", "status": "completed" }, "tags": [] @@ -2363,10 +2334,10 @@ "id": "fefb3724", "metadata": { "papermill": { - "duration": 0.02945, - "end_time": "2023-09-27T21:14:54.914844", + "duration": 0.019504, + "end_time": "2023-11-06T21:38:21.401346", "exception": false, - "start_time": "2023-09-27T21:14:54.885394", + "start_time": "2023-11-06T21:38:21.381842", "status": "completed" }, "tags": [] @@ -2381,16 +2352,16 @@ "id": "d8c01f38", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:54.982370Z", - "iopub.status.busy": "2023-09-27T21:14:54.981503Z", - "iopub.status.idle": "2023-09-27T21:14:55.498187Z", - "shell.execute_reply": "2023-09-27T21:14:55.494279Z" + "iopub.execute_input": "2023-11-06T21:38:21.442256Z", + "iopub.status.busy": "2023-11-06T21:38:21.441974Z", + "iopub.status.idle": "2023-11-06T21:38:21.774513Z", + "shell.execute_reply": "2023-11-06T21:38:21.773750Z" }, "papermill": { - "duration": 0.555627, - "end_time": "2023-09-27T21:14:55.502574", + "duration": 0.355128, + "end_time": "2023-11-06T21:38:21.776074", "exception": false, - "start_time": "2023-09-27T21:14:54.946947", + "start_time": "2023-11-06T21:38:21.420946", "status": "completed" }, "scrolled": true, @@ -2400,7 +2371,7 @@ { "data": { "text/plain": [ - "Text(0.5, 1.0, 'Ophys experiment 957759570')" + "Text(0.5, 1.0, 'Ophys experiment 957759562')" ] }, "execution_count": 26, @@ -2409,7 +2380,7 @@ }, { "data": { - "image/png": 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    " ] @@ -2432,10 +2403,10 @@ "id": "3e65effc", "metadata": { "papermill": { - "duration": 0.03096, - "end_time": "2023-09-27T21:14:55.569698", + "duration": 0.020706, + "end_time": "2023-11-06T21:38:21.818220", "exception": false, - "start_time": "2023-09-27T21:14:55.538738", + "start_time": "2023-11-06T21:38:21.797514", "status": "completed" }, "tags": [] @@ -2450,16 +2421,16 @@ "id": "db1aa14f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:55.636666Z", - "iopub.status.busy": "2023-09-27T21:14:55.635712Z", - "iopub.status.idle": "2023-09-27T21:14:56.212254Z", - "shell.execute_reply": "2023-09-27T21:14:56.211377Z" + "iopub.execute_input": "2023-11-06T21:38:21.862029Z", + "iopub.status.busy": "2023-11-06T21:38:21.861529Z", + "iopub.status.idle": "2023-11-06T21:38:22.154315Z", + "shell.execute_reply": "2023-11-06T21:38:22.153593Z" }, "papermill": { - "duration": 0.612841, - "end_time": "2023-09-27T21:14:56.215208", + "duration": 0.316417, + "end_time": "2023-11-06T21:38:22.155879", "exception": false, - "start_time": "2023-09-27T21:14:55.602367", + "start_time": "2023-11-06T21:38:21.839462", "status": "completed" }, "tags": [] @@ -2468,7 +2439,7 @@ { "data": { "text/plain": [ - "Text(0.5, 1.0, 'Ophys experiment 957759570')" + "Text(0.5, 1.0, 'Ophys experiment 957759562')" ] }, "execution_count": 27, @@ -2477,7 +2448,7 @@ }, { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -2500,10 +2471,10 @@ "id": "d8537e03", "metadata": { "papermill": { - "duration": 0.034437, - "end_time": "2023-09-27T21:14:56.283527", + "duration": 0.021966, + "end_time": "2023-11-06T21:38:22.200253", "exception": false, - "start_time": "2023-09-27T21:14:56.249090", + "start_time": "2023-11-06T21:38:22.178287", "status": "completed" }, "tags": [] @@ -2518,16 +2489,16 @@ "id": "c5f13b66", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:56.350825Z", - "iopub.status.busy": "2023-09-27T21:14:56.349941Z", - "iopub.status.idle": "2023-09-27T21:14:56.383398Z", - "shell.execute_reply": "2023-09-27T21:14:56.382356Z" + "iopub.execute_input": "2023-11-06T21:38:22.245591Z", + "iopub.status.busy": "2023-11-06T21:38:22.245305Z", + "iopub.status.idle": "2023-11-06T21:38:22.269543Z", + "shell.execute_reply": "2023-11-06T21:38:22.268898Z" }, "papermill": { - "duration": 0.071331, - "end_time": "2023-09-27T21:14:56.385778", + "duration": 0.048715, + "end_time": "2023-11-06T21:38:22.271004", "exception": false, - "start_time": "2023-09-27T21:14:56.314447", + "start_time": "2023-11-06T21:38:22.222289", "status": "completed" }, "tags": [] @@ -2587,10 +2558,10 @@ "id": "0a1a9ae1", "metadata": { "papermill": { - "duration": 0.03496, - "end_time": "2023-09-27T21:14:56.455046", + "duration": 0.022201, + "end_time": "2023-11-06T21:38:22.318301", "exception": false, - "start_time": "2023-09-27T21:14:56.420086", + "start_time": "2023-11-06T21:38:22.296100", "status": "completed" }, "tags": [] @@ -2605,16 +2576,16 @@ "id": "bca469b2", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:56.539652Z", - "iopub.status.busy": "2023-09-27T21:14:56.539251Z", - "iopub.status.idle": "2023-09-27T21:14:56.572311Z", - "shell.execute_reply": "2023-09-27T21:14:56.571192Z" + "iopub.execute_input": "2023-11-06T21:38:22.365302Z", + "iopub.status.busy": "2023-11-06T21:38:22.364647Z", + "iopub.status.idle": "2023-11-06T21:38:22.387704Z", + "shell.execute_reply": "2023-11-06T21:38:22.386925Z" }, "papermill": { - "duration": 0.08398, - "end_time": "2023-09-27T21:14:56.574554", + "duration": 0.048202, + "end_time": "2023-11-06T21:38:22.389172", "exception": false, - "start_time": "2023-09-27T21:14:56.490574", + "start_time": "2023-11-06T21:38:22.340970", "status": "completed" }, "tags": [] @@ -2647,10 +2618,10 @@ "id": "92b7794d", "metadata": { "papermill": { - "duration": 0.033617, - "end_time": "2023-09-27T21:14:56.642570", + "duration": 0.023057, + "end_time": "2023-11-06T21:38:22.435503", "exception": false, - "start_time": "2023-09-27T21:14:56.608953", + "start_time": "2023-11-06T21:38:22.412446", "status": "completed" }, "tags": [] @@ -2667,16 +2638,16 @@ "id": "8a06c129", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:56.711044Z", - "iopub.status.busy": "2023-09-27T21:14:56.709964Z", - "iopub.status.idle": "2023-09-27T21:14:56.762382Z", - "shell.execute_reply": "2023-09-27T21:14:56.761081Z" + "iopub.execute_input": "2023-11-06T21:38:22.483280Z", + "iopub.status.busy": "2023-11-06T21:38:22.482620Z", + "iopub.status.idle": "2023-11-06T21:38:22.518637Z", + "shell.execute_reply": "2023-11-06T21:38:22.517902Z" }, "papermill": { - "duration": 0.09171, - "end_time": "2023-09-27T21:14:56.765398", + "duration": 0.061439, + "end_time": "2023-11-06T21:38:22.520059", "exception": false, - "start_time": "2023-09-27T21:14:56.673688", + "start_time": "2023-11-06T21:38:22.458620", "status": "completed" }, "tags": [] @@ -2703,18 +2674,25 @@ " \n", " \n", " \n", + " stimulus_block\n", + " stimulus_block_name\n", " image_index\n", " image_name\n", + " movie_frame_index\n", " duration\n", " start_time\n", " end_time\n", " start_frame\n", " end_frame\n", " is_change\n", + " is_image_novel\n", " omitted\n", + " movie_repeat\n", " flashes_since_change\n", " trials_id\n", " active\n", + " stimulus_name\n", + " is_sham_change\n", " \n", " \n", " stimulus_presentations_id\n", @@ -2730,202 +2708,344 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " 0\n", " 0\n", - " im000\n", - " 0.25020\n", - " 308.75313\n", - " 309.00333\n", - " 17986\n", - " 18001.0\n", - " False\n", + " initial_gray_screen_5min\n", + " -99\n", + " NaN\n", + " -99\n", + " 308.772448\n", + " 0.000000\n", + " 308.772448\n", + " 0\n", + " 17985\n", " False\n", + " <NA>\n", + " <NA>\n", + " -99\n", " 0\n", " -99\n", - " True\n", + " False\n", + " spontaneous\n", + " False\n", " \n", " \n", " 1\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25020\n", - " 309.50374\n", - " 309.75394\n", - " 18031\n", - " 18046.0\n", + " -99\n", + " 0.250210\n", + " 308.772448\n", + " 309.022658\n", + " 17985\n", + " 18000\n", " False\n", + " True\n", " False\n", - " 1\n", " -99\n", + " 1\n", + " 0\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 2\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25017\n", - " 310.25441\n", - " 310.50458\n", - " 18076\n", - " 18091.0\n", + " -99\n", + " 0.250180\n", + " 309.523058\n", + " 309.773238\n", + " 18030\n", + " 18045\n", " False\n", + " True\n", " False\n", - " 2\n", " -99\n", + " 2\n", + " 0\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 3\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25026\n", - " 311.00496\n", - " 311.25522\n", - " 18121\n", - " 18136.0\n", + " -99\n", + " 0.250160\n", + " 310.273688\n", + " 310.523848\n", + " 18075\n", + " 18090\n", " False\n", + " True\n", " False\n", - " 3\n", " -99\n", + " 3\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 4\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25020\n", - " 311.75558\n", - " 312.00578\n", - " 18166\n", - " 18181.0\n", + " -99\n", + " 0.250220\n", + " 311.024258\n", + " 311.274478\n", + " 18120\n", + " 18135\n", " False\n", + " True\n", " False\n", - " 4\n", " -99\n", + " 4\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 5\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25021\n", - " 312.50620\n", - " 312.75641\n", - " 18211\n", - " 18226.0\n", + " -99\n", + " 0.250210\n", + " 311.774888\n", + " 312.025098\n", + " 18165\n", + " 18180\n", " False\n", + " True\n", " False\n", - " 5\n", " -99\n", + " 5\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 6\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im000\n", - " 0.25022\n", - " 313.25681\n", - " 313.50703\n", - " 18256\n", - " 18271.0\n", + " -99\n", + " 0.250150\n", + " 312.525538\n", + " 312.775688\n", + " 18210\n", + " 18225\n", " False\n", + " True\n", " False\n", - " 6\n", " -99\n", + " 6\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 7\n", - " 6\n", - " im031\n", - " 0.25020\n", - " 314.00741\n", - " 314.25761\n", - " 18301\n", - " 18316.0\n", + " 1\n", + " change_detection_behavior\n", + " 0\n", + " im000\n", + " -99\n", + " 0.250210\n", + " 313.276118\n", + " 313.526328\n", + " 18255\n", + " 18270\n", + " False\n", " True\n", " False\n", - " 0\n", " -99\n", + " 7\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 8\n", + " 1\n", + " change_detection_behavior\n", " 6\n", " im031\n", - " 0.25020\n", - " 314.75803\n", - " 315.00823\n", - " 18346\n", - " 18361.0\n", - " False\n", + " -99\n", + " 0.250220\n", + " 314.026728\n", + " 314.276948\n", + " 18300\n", + " 18315\n", + " True\n", + " True\n", " False\n", - " 1\n", " -99\n", + " 0\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", " 9\n", + " 1\n", + " change_detection_behavior\n", " 6\n", " im031\n", - " 0.25019\n", - " 315.50864\n", - " 315.75883\n", - " 18391\n", - " 18406.0\n", + " -99\n", + " 0.250190\n", + " 314.777358\n", + " 315.027548\n", + " 18345\n", + " 18360\n", " False\n", + " True\n", " False\n", - " 2\n", " -99\n", + " 1\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_ophys_6_2017\n", + " False\n", " \n", " \n", "\n", "" ], "text/plain": [ - " image_index image_name duration start_time \\\n", - "stimulus_presentations_id \n", - "0 0 im000 0.25020 308.75313 \n", - "1 0 im000 0.25020 309.50374 \n", - "2 0 im000 0.25017 310.25441 \n", - "3 0 im000 0.25026 311.00496 \n", - "4 0 im000 0.25020 311.75558 \n", - "5 0 im000 0.25021 312.50620 \n", - "6 0 im000 0.25022 313.25681 \n", - "7 6 im031 0.25020 314.00741 \n", - "8 6 im031 0.25020 314.75803 \n", - "9 6 im031 0.25019 315.50864 \n", + " stimulus_block stimulus_block_name \\\n", + "stimulus_presentations_id \n", + "0 0 initial_gray_screen_5min \n", + "1 1 change_detection_behavior \n", + "2 1 change_detection_behavior \n", + "3 1 change_detection_behavior \n", + "4 1 change_detection_behavior \n", + "5 1 change_detection_behavior \n", + "6 1 change_detection_behavior \n", + "7 1 change_detection_behavior \n", + "8 1 change_detection_behavior \n", + "9 1 change_detection_behavior \n", "\n", - " end_time start_frame end_frame is_change \\\n", - "stimulus_presentations_id \n", - "0 309.00333 17986 18001.0 False \n", - "1 309.75394 18031 18046.0 False \n", - "2 310.50458 18076 18091.0 False \n", - "3 311.25522 18121 18136.0 False \n", - "4 312.00578 18166 18181.0 False \n", - "5 312.75641 18211 18226.0 False \n", - "6 313.50703 18256 18271.0 False \n", - "7 314.25761 18301 18316.0 True \n", - "8 315.00823 18346 18361.0 False \n", - "9 315.75883 18391 18406.0 False \n", + " image_index image_name movie_frame_index \\\n", + "stimulus_presentations_id \n", + "0 -99 NaN -99 \n", + "1 0 im000 -99 \n", + "2 0 im000 -99 \n", + "3 0 im000 -99 \n", + "4 0 im000 -99 \n", + "5 0 im000 -99 \n", + "6 0 im000 -99 \n", + "7 0 im000 -99 \n", + "8 6 im031 -99 \n", + "9 6 im031 -99 \n", "\n", - " omitted flashes_since_change trials_id active \n", + " duration start_time end_time start_frame \\\n", "stimulus_presentations_id \n", - "0 False 0 -99 True \n", - "1 False 1 -99 True \n", - "2 False 2 -99 True \n", - "3 False 3 -99 True \n", - "4 False 4 -99 True \n", - "5 False 5 -99 True \n", - "6 False 6 -99 True \n", - "7 False 0 -99 True \n", - "8 False 1 -99 True \n", - "9 False 2 -99 True " + "0 308.772448 0.000000 308.772448 0 \n", + "1 0.250210 308.772448 309.022658 17985 \n", + "2 0.250180 309.523058 309.773238 18030 \n", + "3 0.250160 310.273688 310.523848 18075 \n", + "4 0.250220 311.024258 311.274478 18120 \n", + "5 0.250210 311.774888 312.025098 18165 \n", + "6 0.250150 312.525538 312.775688 18210 \n", + "7 0.250210 313.276118 313.526328 18255 \n", + "8 0.250220 314.026728 314.276948 18300 \n", + "9 0.250190 314.777358 315.027548 18345 \n", + "\n", + " end_frame is_change is_image_novel omitted \\\n", + "stimulus_presentations_id \n", + "0 17985 False \n", + "1 18000 False True False \n", + "2 18045 False True False \n", + "3 18090 False True False \n", + "4 18135 False True False \n", + "5 18180 False True False \n", + "6 18225 False True False \n", + "7 18270 False True False \n", + "8 18315 True True False \n", + "9 18360 False True False \n", + "\n", + " movie_repeat flashes_since_change trials_id \\\n", + "stimulus_presentations_id \n", + "0 -99 0 -99 \n", + "1 -99 1 0 \n", + "2 -99 2 0 \n", + "3 -99 3 1 \n", + "4 -99 4 1 \n", + "5 -99 5 1 \n", + "6 -99 6 1 \n", + "7 -99 7 1 \n", + "8 -99 0 1 \n", + "9 -99 1 1 \n", + "\n", + " active \\\n", + "stimulus_presentations_id \n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "5 True \n", + "6 True \n", + "7 True \n", + "8 True \n", + "9 True \n", + "\n", + " stimulus_name \\\n", + "stimulus_presentations_id \n", + "0 spontaneous \n", + "1 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "2 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "3 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "4 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "5 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "6 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "7 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "8 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "9 Natural_Images_Lum_Matched_set_ophys_6_2017 \n", + "\n", + " is_sham_change \n", + "stimulus_presentations_id \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "5 False \n", + "6 False \n", + "7 False \n", + "8 False \n", + "9 False " ] }, "execution_count": 30, @@ -2943,10 +3063,10 @@ "id": "c568e3a0", "metadata": { "papermill": { - "duration": 0.035101, - "end_time": "2023-09-27T21:14:56.847063", + "duration": 0.022879, + "end_time": "2023-11-06T21:38:22.566301", "exception": false, - "start_time": "2023-09-27T21:14:56.811962", + "start_time": "2023-11-06T21:38:22.543422", "status": "completed" }, "tags": [] @@ -2961,16 +3081,16 @@ "id": "cb5ad5fa", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:56.920549Z", - "iopub.status.busy": "2023-09-27T21:14:56.919698Z", - "iopub.status.idle": "2023-09-27T21:14:56.952228Z", - "shell.execute_reply": "2023-09-27T21:14:56.951328Z" + "iopub.execute_input": "2023-11-06T21:38:22.614055Z", + "iopub.status.busy": "2023-11-06T21:38:22.613531Z", + "iopub.status.idle": "2023-11-06T21:38:22.637513Z", + "shell.execute_reply": "2023-11-06T21:38:22.636798Z" }, "papermill": { - "duration": 0.072337, - "end_time": "2023-09-27T21:14:56.954724", + "duration": 0.04971, + "end_time": "2023-11-06T21:38:22.639021", "exception": false, - "start_time": "2023-09-27T21:14:56.882387", + "start_time": "2023-11-06T21:38:22.589311", "status": "completed" }, "scrolled": true, @@ -2981,7 +3101,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "This experiment had 4797 stimuli.\n", + "This experiment had 13799 stimuli.\n", "Out of all stimuli presented, 160 were omitted.\n" ] } @@ -2996,10 +3116,10 @@ "id": "794c2cd8", "metadata": { "papermill": { - "duration": 0.037366, - "end_time": "2023-09-27T21:14:57.027011", + "duration": 0.022587, + "end_time": "2023-11-06T21:38:22.684624", "exception": false, - "start_time": "2023-09-27T21:14:56.989645", + "start_time": "2023-11-06T21:38:22.662037", "status": "completed" }, "tags": [] @@ -3014,16 +3134,16 @@ "id": "066d4c40", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.099318Z", - "iopub.status.busy": "2023-09-27T21:14:57.098465Z", - "iopub.status.idle": "2023-09-27T21:14:57.129648Z", - "shell.execute_reply": "2023-09-27T21:14:57.128757Z" + "iopub.execute_input": "2023-11-06T21:38:22.731511Z", + "iopub.status.busy": "2023-11-06T21:38:22.730946Z", + "iopub.status.idle": "2023-11-06T21:38:22.755354Z", + "shell.execute_reply": "2023-11-06T21:38:22.754626Z" }, "papermill": { - "duration": 0.070318, - "end_time": "2023-09-27T21:14:57.131548", + "duration": 0.049339, + "end_time": "2023-11-06T21:38:22.756855", "exception": false, - "start_time": "2023-09-27T21:14:57.061230", + "start_time": "2023-11-06T21:38:22.707516", "status": "completed" }, "scrolled": true, @@ -3033,9 +3153,11 @@ { "data": { "text/plain": [ - "Index(['image_index', 'image_name', 'duration', 'start_time', 'end_time',\n", - " 'start_frame', 'end_frame', 'is_change', 'omitted',\n", - " 'flashes_since_change', 'trials_id', 'active'],\n", + "Index(['stimulus_block', 'stimulus_block_name', 'image_index', 'image_name',\n", + " 'movie_frame_index', 'duration', 'start_time', 'end_time',\n", + " 'start_frame', 'end_frame', 'is_change', 'is_image_novel', 'omitted',\n", + " 'movie_repeat', 'flashes_since_change', 'trials_id', 'active',\n", + " 'stimulus_name', 'is_sham_change'],\n", " dtype='object')" ] }, @@ -3053,10 +3175,10 @@ "id": "8515f32d", "metadata": { "papermill": { - "duration": 0.033902, - "end_time": "2023-09-27T21:14:57.200302", + "duration": 0.023333, + "end_time": "2023-11-06T21:38:22.803267", "exception": false, - "start_time": "2023-09-27T21:14:57.166400", + "start_time": "2023-11-06T21:38:22.779934", "status": "completed" }, "tags": [] @@ -3073,16 +3195,16 @@ "id": "de868ad2", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.271659Z", - "iopub.status.busy": "2023-09-27T21:14:57.270397Z", - "iopub.status.idle": "2023-09-27T21:14:57.331269Z", - "shell.execute_reply": "2023-09-27T21:14:57.330391Z" + "iopub.execute_input": "2023-11-06T21:38:22.852475Z", + "iopub.status.busy": "2023-11-06T21:38:22.851960Z", + "iopub.status.idle": "2023-11-06T21:38:22.889005Z", + "shell.execute_reply": "2023-11-06T21:38:22.888288Z" }, "papermill": { - "duration": 0.097889, - "end_time": "2023-09-27T21:14:57.333233", + "duration": 0.063717, + "end_time": "2023-11-06T21:38:22.890458", "exception": false, - "start_time": "2023-09-27T21:14:57.235344", + "start_time": "2023-11-06T21:38:22.826741", "status": "completed" }, "tags": [] @@ -3111,25 +3233,25 @@ " \n", " start_time\n", " stop_time\n", + " initial_image_name\n", + " change_image_name\n", + " is_change\n", + " change_time\n", + " go\n", + " catch\n", " lick_times\n", + " response_time\n", + " ...\n", " reward_time\n", " reward_volume\n", " hit\n", " false_alarm\n", " miss\n", - " is_change\n", + " correct_reject\n", " aborted\n", - " ...\n", - " catch\n", " auto_rewarded\n", - " correct_reject\n", - " trial_length\n", - " response_time\n", " change_frame\n", - " change_time\n", - " response_latency\n", - " initial_image_name\n", - " change_image_name\n", + " trial_length\n", " \n", " \n", " trials_id\n", @@ -3161,121 +3283,121 @@ " 0\n", " 308.73646\n", " 309.85402\n", + " im000\n", + " im000\n", + " False\n", + " NaN\n", + " False\n", + " False\n", " [309.12011, 309.30359, 309.53711]\n", " NaN\n", + " ...\n", + " NaN\n", " 0.000\n", " False\n", " False\n", " False\n", " False\n", " True\n", - " ...\n", - " False\n", " False\n", - " False\n", - " 1.11756\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im000\n", - " im000\n", + " 1.11756\n", " \n", " \n", " 1\n", " 310.23770\n", " 318.26089\n", + " im000\n", + " im031\n", + " True\n", + " 314.026728\n", + " False\n", + " False\n", " [314.37439, 314.50783, 314.64127, 314.79139, 3...\n", + " 314.37439\n", + " ...\n", " 314.14086\n", " 0.005\n", " False\n", " False\n", " False\n", - " True\n", " False\n", - " ...\n", " False\n", " True\n", - " False\n", - " 8.02319\n", - " 314.37439\n", " 18300\n", - " 314.026728\n", - " 0.347662\n", - " im000\n", - " im031\n", + " 8.02319\n", " \n", " \n", " 2\n", " 318.49442\n", " 319.37846\n", + " im031\n", + " im031\n", + " False\n", + " NaN\n", + " False\n", + " False\n", " [318.6779, 318.86138, 319.06156, 319.39515, 31...\n", " NaN\n", + " ...\n", + " NaN\n", " 0.000\n", " False\n", " False\n", " False\n", " False\n", " True\n", - " ...\n", " False\n", - " False\n", - " False\n", - " 0.88404\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im031\n", - " im031\n", + " 0.88404\n", " \n", " \n", " 3\n", " 319.99565\n", " 323.19826\n", + " im031\n", + " im031\n", + " False\n", + " NaN\n", + " False\n", + " False\n", " [322.58109, 322.71452, 322.88134, 323.46514, 3...\n", " NaN\n", + " ...\n", + " NaN\n", " 0.000\n", " False\n", " False\n", " False\n", " False\n", " True\n", - " ...\n", - " False\n", " False\n", - " False\n", - " 3.20261\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im031\n", - " im031\n", + " 3.20261\n", " \n", " \n", " 4\n", " 323.73205\n", " 331.02131\n", + " im031\n", + " im000\n", + " True\n", + " 326.787158\n", + " False\n", + " False\n", " [327.1515, 327.26826, 327.38503, 327.51846, 32...\n", + " 327.15150\n", + " ...\n", " 326.91797\n", " 0.005\n", " False\n", " False\n", " False\n", - " True\n", " False\n", - " ...\n", " False\n", " True\n", - " False\n", - " 7.28926\n", - " 327.15150\n", " 19065\n", - " 326.787158\n", - " 0.364342\n", - " im031\n", - " im000\n", + " 7.28926\n", " \n", " \n", "\n", @@ -3283,53 +3405,45 @@ "" ], "text/plain": [ - " start_time stop_time \\\n", - "trials_id \n", - "0 308.73646 309.85402 \n", - "1 310.23770 318.26089 \n", - "2 318.49442 319.37846 \n", - "3 319.99565 323.19826 \n", - "4 323.73205 331.02131 \n", - "\n", - " lick_times reward_time \\\n", - "trials_id \n", - "0 [309.12011, 309.30359, 309.53711] NaN \n", - "1 [314.37439, 314.50783, 314.64127, 314.79139, 3... 314.14086 \n", - "2 [318.6779, 318.86138, 319.06156, 319.39515, 31... NaN \n", - "3 [322.58109, 322.71452, 322.88134, 323.46514, 3... NaN \n", - "4 [327.1515, 327.26826, 327.38503, 327.51846, 32... 326.91797 \n", + " start_time stop_time initial_image_name change_image_name \\\n", + "trials_id \n", + "0 308.73646 309.85402 im000 im000 \n", + "1 310.23770 318.26089 im000 im031 \n", + "2 318.49442 319.37846 im031 im031 \n", + "3 319.99565 323.19826 im031 im031 \n", + "4 323.73205 331.02131 im031 im000 \n", "\n", - " reward_volume hit false_alarm miss is_change aborted ... \\\n", - "trials_id ... \n", - "0 0.000 False False False False True ... \n", - "1 0.005 False False False True False ... \n", - "2 0.000 False False False False True ... \n", - "3 0.000 False False False False True ... \n", - "4 0.005 False False False True False ... \n", + " is_change change_time go catch \\\n", + "trials_id \n", + "0 False NaN False False \n", + "1 True 314.026728 False False \n", + "2 False NaN False False \n", + "3 False NaN False False \n", + "4 True 326.787158 False False \n", "\n", - " catch auto_rewarded correct_reject trial_length response_time \\\n", - "trials_id \n", - "0 False False False 1.11756 NaN \n", - "1 False True False 8.02319 314.37439 \n", - "2 False False False 0.88404 NaN \n", - "3 False False False 3.20261 NaN \n", - "4 False True False 7.28926 327.15150 \n", + " lick_times response_time \\\n", + "trials_id \n", + "0 [309.12011, 309.30359, 309.53711] NaN \n", + "1 [314.37439, 314.50783, 314.64127, 314.79139, 3... 314.37439 \n", + "2 [318.6779, 318.86138, 319.06156, 319.39515, 31... NaN \n", + "3 [322.58109, 322.71452, 322.88134, 323.46514, 3... NaN \n", + "4 [327.1515, 327.26826, 327.38503, 327.51846, 32... 327.15150 \n", "\n", - " change_frame change_time response_latency initial_image_name \\\n", - "trials_id \n", - "0 -99 NaN NaN im000 \n", - "1 18300 314.026728 0.347662 im000 \n", - "2 -99 NaN NaN im031 \n", - "3 -99 NaN NaN im031 \n", - "4 19065 326.787158 0.364342 im031 \n", + " ... reward_time reward_volume hit false_alarm miss \\\n", + "trials_id ... \n", + "0 ... NaN 0.000 False False False \n", + "1 ... 314.14086 0.005 False False False \n", + "2 ... NaN 0.000 False False False \n", + "3 ... NaN 0.000 False False False \n", + "4 ... 326.91797 0.005 False False False \n", "\n", - " change_image_name \n", - "trials_id \n", - "0 im000 \n", - "1 im031 \n", - "2 im031 \n", - "3 im031 \n", - "4 im000 \n", + " correct_reject aborted auto_rewarded change_frame trial_length \n", + "trials_id \n", + "0 False True False -99 1.11756 \n", + "1 False False True 18300 8.02319 \n", + "2 False True False -99 0.88404 \n", + "3 False True False -99 3.20261 \n", + "4 False False True 19065 7.28926 \n", "\n", "[5 rows x 21 columns]" ] @@ -3350,16 +3464,16 @@ "id": "f5217408", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.406477Z", - "iopub.status.busy": "2023-09-27T21:14:57.405817Z", - "iopub.status.idle": "2023-09-27T21:14:57.438075Z", - "shell.execute_reply": "2023-09-27T21:14:57.437128Z" + "iopub.execute_input": "2023-11-06T21:38:22.939745Z", + "iopub.status.busy": "2023-11-06T21:38:22.939131Z", + "iopub.status.idle": "2023-11-06T21:38:22.962677Z", + "shell.execute_reply": "2023-11-06T21:38:22.961955Z" }, "papermill": { - "duration": 0.070818, - "end_time": "2023-09-27T21:14:57.440257", + "duration": 0.049806, + "end_time": "2023-11-06T21:38:22.964150", "exception": false, - "start_time": "2023-09-27T21:14:57.369439", + "start_time": "2023-11-06T21:38:22.914344", "status": "completed" }, "tags": [] @@ -3368,11 +3482,11 @@ { "data": { "text/plain": [ - "Index(['start_time', 'stop_time', 'lick_times', 'reward_time', 'reward_volume',\n", - " 'hit', 'false_alarm', 'miss', 'is_change', 'aborted', 'go', 'catch',\n", - " 'auto_rewarded', 'correct_reject', 'trial_length', 'response_time',\n", - " 'change_frame', 'change_time', 'response_latency', 'initial_image_name',\n", - " 'change_image_name'],\n", + "Index(['start_time', 'stop_time', 'initial_image_name', 'change_image_name',\n", + " 'is_change', 'change_time', 'go', 'catch', 'lick_times',\n", + " 'response_time', 'response_latency', 'reward_time', 'reward_volume',\n", + " 'hit', 'false_alarm', 'miss', 'correct_reject', 'aborted',\n", + " 'auto_rewarded', 'change_frame', 'trial_length'],\n", " dtype='object')" ] }, @@ -3390,10 +3504,10 @@ "id": "d0f831d0", "metadata": { "papermill": { - "duration": 0.035254, - "end_time": "2023-09-27T21:14:57.509920", + "duration": 0.023802, + "end_time": "2023-11-06T21:38:23.012039", "exception": false, - "start_time": "2023-09-27T21:14:57.474666", + "start_time": "2023-11-06T21:38:22.988237", "status": "completed" }, "tags": [] @@ -3407,10 +3521,10 @@ "id": "3efe197c", "metadata": { "papermill": { - "duration": 0.03952, - "end_time": "2023-09-27T21:14:57.586126", + "duration": 0.02429, + "end_time": "2023-11-06T21:38:23.060583", "exception": false, - "start_time": "2023-09-27T21:14:57.546606", + "start_time": "2023-11-06T21:38:23.036293", "status": "completed" }, "tags": [] @@ -3424,10 +3538,10 @@ "id": "59cfda02", "metadata": { "papermill": { - "duration": 0.042555, - "end_time": "2023-09-27T21:14:57.664069", + "duration": 0.024353, + "end_time": "2023-11-06T21:38:23.108944", "exception": false, - "start_time": "2023-09-27T21:14:57.621514", + "start_time": "2023-11-06T21:38:23.084591", "status": "completed" }, "tags": [] @@ -3442,16 +3556,16 @@ "id": "7a7b1701", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.739924Z", - "iopub.status.busy": "2023-09-27T21:14:57.738734Z", - "iopub.status.idle": "2023-09-27T21:14:57.782117Z", - "shell.execute_reply": "2023-09-27T21:14:57.781033Z" + "iopub.execute_input": "2023-11-06T21:38:23.158810Z", + "iopub.status.busy": "2023-11-06T21:38:23.158299Z", + "iopub.status.idle": "2023-11-06T21:38:23.191763Z", + "shell.execute_reply": "2023-11-06T21:38:23.191134Z" }, "papermill": { - "duration": 0.085183, - "end_time": "2023-09-27T21:14:57.784763", + "duration": 0.06043, + "end_time": "2023-11-06T21:38:23.193453", "exception": false, - "start_time": "2023-09-27T21:14:57.699580", + "start_time": "2023-11-06T21:38:23.133023", "status": "completed" }, "tags": [] @@ -3479,16 +3593,16 @@ "id": "42866955", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.861483Z", - "iopub.status.busy": "2023-09-27T21:14:57.860726Z", - "iopub.status.idle": "2023-09-27T21:14:57.902495Z", - "shell.execute_reply": "2023-09-27T21:14:57.901316Z" + "iopub.execute_input": "2023-11-06T21:38:23.243873Z", + "iopub.status.busy": "2023-11-06T21:38:23.243250Z", + "iopub.status.idle": "2023-11-06T21:38:23.273155Z", + "shell.execute_reply": "2023-11-06T21:38:23.272542Z" }, "papermill": { - "duration": 0.085119, - "end_time": "2023-09-27T21:14:57.905708", + "duration": 0.05718, + "end_time": "2023-11-06T21:38:23.274829", "exception": false, - "start_time": "2023-09-27T21:14:57.820589", + "start_time": "2023-11-06T21:38:23.217649", "status": "completed" }, "tags": [] @@ -3579,16 +3693,16 @@ "id": "424fd68e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:57.984613Z", - "iopub.status.busy": "2023-09-27T21:14:57.984254Z", - "iopub.status.idle": "2023-09-27T21:14:59.365165Z", - "shell.execute_reply": "2023-09-27T21:14:59.360743Z" + "iopub.execute_input": "2023-11-06T21:38:23.324373Z", + "iopub.status.busy": "2023-11-06T21:38:23.323733Z", + "iopub.status.idle": "2023-11-06T21:38:24.050461Z", + "shell.execute_reply": "2023-11-06T21:38:24.049703Z" }, "papermill": { - "duration": 1.420469, - "end_time": "2023-09-27T21:14:59.367478", + "duration": 0.753731, + "end_time": "2023-11-06T21:38:24.052240", "exception": false, - "start_time": "2023-09-27T21:14:57.947009", + "start_time": "2023-11-06T21:38:23.298509", "status": "completed" }, "tags": [] @@ -3597,7 +3711,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 37, @@ -3606,7 +3720,7 @@ }, { "data": { - "image/png": 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", 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", 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    " ] @@ -3641,10 +3755,10 @@ "id": "79959429", "metadata": { "papermill": { - "duration": 0.037262, - "end_time": "2023-09-27T21:14:59.443699", + "duration": 0.025988, + "end_time": "2023-11-06T21:38:24.104150", "exception": false, - "start_time": "2023-09-27T21:14:59.406437", + "start_time": "2023-11-06T21:38:24.078162", "status": "completed" }, "tags": [] @@ -3658,10 +3772,10 @@ "id": "eae44432", "metadata": { "papermill": { - "duration": 0.04141, - "end_time": "2023-09-27T21:14:59.528245", + "duration": 0.026416, + "end_time": "2023-11-06T21:38:24.156934", "exception": false, - "start_time": "2023-09-27T21:14:59.486835", + "start_time": "2023-11-06T21:38:24.130518", "status": "completed" }, "tags": [] @@ -3678,16 +3792,16 @@ "id": "fa84106f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:14:59.632228Z", - "iopub.status.busy": "2023-09-27T21:14:59.631187Z", - "iopub.status.idle": "2023-09-27T21:15:29.040238Z", - "shell.execute_reply": "2023-09-27T21:15:29.039093Z" + "iopub.execute_input": "2023-11-06T21:38:24.210982Z", + "iopub.status.busy": "2023-11-06T21:38:24.210407Z", + "iopub.status.idle": "2023-11-06T21:38:49.365716Z", + "shell.execute_reply": "2023-11-06T21:38:49.365043Z" }, "papermill": { - "duration": 29.471385, - "end_time": "2023-09-27T21:15:29.043625", + "duration": 25.18424, + "end_time": "2023-11-06T21:38:49.367499", "exception": false, - "start_time": "2023-09-27T21:14:59.572240", + "start_time": "2023-11-06T21:38:24.183259", "status": "completed" }, "tags": [] @@ -3697,11 +3811,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_826587940.nwb: 100%|██████████| 397M/397M [00:23<00:00, 17.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_ophys_experiment_826587940.nwb: 100%|██████████| 370M/370M [00:20<00:00, 18.4MMB/s]\n" ] } ], @@ -3718,16 +3828,16 @@ "id": "94b81ac8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:15:29.146535Z", - "iopub.status.busy": "2023-09-27T21:15:29.146084Z", - "iopub.status.idle": "2023-09-27T21:15:29.186536Z", - "shell.execute_reply": "2023-09-27T21:15:29.185488Z" + "iopub.execute_input": "2023-11-06T21:38:49.428999Z", + "iopub.status.busy": "2023-11-06T21:38:49.428466Z", + "iopub.status.idle": "2023-11-06T21:38:49.462099Z", + "shell.execute_reply": "2023-11-06T21:38:49.461372Z" }, "papermill": { - "duration": 0.094611, - "end_time": "2023-09-27T21:15:29.188713", + "duration": 0.066312, + "end_time": "2023-11-06T21:38:49.463928", "exception": false, - "start_time": "2023-09-27T21:15:29.094102", + "start_time": "2023-11-06T21:38:49.397616", "status": "completed" }, "tags": [] @@ -3755,16 +3865,16 @@ "id": "dd1d3e9e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:15:29.283842Z", - "iopub.status.busy": "2023-09-27T21:15:29.283458Z", - "iopub.status.idle": "2023-09-27T21:15:30.852298Z", - "shell.execute_reply": "2023-09-27T21:15:30.851139Z" + "iopub.execute_input": "2023-11-06T21:38:49.525496Z", + "iopub.status.busy": "2023-11-06T21:38:49.524881Z", + "iopub.status.idle": "2023-11-06T21:38:50.307819Z", + "shell.execute_reply": "2023-11-06T21:38:50.307094Z" }, "papermill": { - "duration": 1.617895, - "end_time": "2023-09-27T21:15:30.854326", + "duration": 0.81563, + "end_time": "2023-11-06T21:38:50.309315", "exception": false, - "start_time": "2023-09-27T21:15:29.236431", + "start_time": "2023-11-06T21:38:49.493685", "status": "completed" }, "scrolled": false, @@ -3774,7 +3884,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 40, @@ -3783,7 +3893,7 @@ }, { "data": { - "image/png": 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", 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", 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    " ] @@ -3820,10 +3930,10 @@ "id": "fd286129", "metadata": { "papermill": { - "duration": 0.050344, - "end_time": "2023-09-27T21:15:30.957320", + "duration": 0.031327, + "end_time": "2023-11-06T21:38:50.372688", "exception": false, - "start_time": "2023-09-27T21:15:30.906976", + "start_time": "2023-11-06T21:38:50.341361", "status": "completed" }, "tags": [] @@ -3854,17 +3964,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 87.342113, - "end_time": "2023-09-27T21:15:32.032558", + "duration": 66.961924, + "end_time": "2023-11-06T21:38:51.123373", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_load_ophys_data.ipynb", - "output_path": "/tmp/tmp3mcgrc_2/scratch_nb.ipynb", + "output_path": "/tmp/tmpt7dt33bi/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp3mcgrc_2", + "output_dir": "/tmp/tmpt7dt33bi", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T21:14:04.690445", + "start_time": "2023-11-06T21:37:44.161449", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb index 89be1bdf2..143d4fbd5 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_mouse_history.ipynb @@ -5,10 +5,10 @@ "id": "4e2ade4e", "metadata": { "papermill": { - "duration": 0.014174, - "end_time": "2023-09-27T20:33:51.614986", + "duration": 0.008355, + "end_time": "2023-11-06T21:13:02.447349", "exception": false, - "start_time": "2023-09-27T20:33:51.600812", + "start_time": "2023-11-06T21:13:02.438994", "status": "completed" }, "tags": [] @@ -25,10 +25,10 @@ "id": "1f16c32f", "metadata": { "papermill": { - "duration": 0.00974, - "end_time": "2023-09-27T20:33:51.636585", + "duration": 0.007442, + "end_time": "2023-11-06T21:13:02.462387", "exception": false, - "start_time": "2023-09-27T20:33:51.626845", + "start_time": "2023-11-06T21:13:02.454945", "status": "completed" }, "tags": [] @@ -42,10 +42,10 @@ "id": "0445ee15", "metadata": { "papermill": { - "duration": 0.010537, - "end_time": "2023-09-27T20:33:51.657573", + "duration": 0.00733, + "end_time": "2023-11-06T21:13:02.478333", "exception": false, - "start_time": "2023-09-27T20:33:51.647036", + "start_time": "2023-11-06T21:13:02.471003", "status": "completed" }, "tags": [] @@ -60,16 +60,16 @@ "id": "cc32c22f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:33:51.681101Z", - "iopub.status.busy": "2023-09-27T20:33:51.680405Z", - "iopub.status.idle": "2023-09-27T20:33:55.591778Z", - "shell.execute_reply": "2023-09-27T20:33:55.587134Z" + "iopub.execute_input": "2023-11-06T21:13:02.494735Z", + "iopub.status.busy": "2023-11-06T21:13:02.494155Z", + "iopub.status.idle": "2023-11-06T21:13:04.685671Z", + "shell.execute_reply": "2023-11-06T21:13:04.684965Z" }, "papermill": { - "duration": 3.930503, - "end_time": "2023-09-27T20:33:55.598692", + "duration": 2.20184, + "end_time": "2023-11-06T21:13:04.687471", "exception": false, - "start_time": "2023-09-27T20:33:51.668189", + "start_time": "2023-11-06T21:13:02.485631", "status": "completed" }, "tags": [] @@ -80,9 +80,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -93,33 +93,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -127,14 +127,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -142,29 +142,32 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n", + "\r\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\r\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\r\n" ] } ], @@ -177,10 +180,10 @@ "id": "ea47bb9e", "metadata": { "papermill": { - "duration": 0.013069, - "end_time": "2023-09-27T20:33:55.625192", + "duration": 0.008167, + "end_time": "2023-11-06T21:13:04.704253", "exception": false, - "start_time": "2023-09-27T20:33:55.612123", + "start_time": "2023-11-06T21:13:04.696086", "status": "completed" }, "tags": [] @@ -194,10 +197,10 @@ "id": "5a984779", "metadata": { "papermill": { - "duration": 0.011875, - "end_time": "2023-09-27T20:33:55.649394", + "duration": 0.008197, + "end_time": "2023-11-06T21:13:04.720706", "exception": false, - "start_time": "2023-09-27T20:33:55.637519", + "start_time": "2023-11-06T21:13:04.712509", "status": "completed" }, "tags": [] @@ -215,16 +218,16 @@ "id": "63f56928", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:33:55.676443Z", - "iopub.status.busy": "2023-09-27T20:33:55.675633Z", - "iopub.status.idle": "2023-09-27T20:34:01.779500Z", - "shell.execute_reply": "2023-09-27T20:34:01.778018Z" + "iopub.execute_input": "2023-11-06T21:13:04.738541Z", + "iopub.status.busy": "2023-11-06T21:13:04.738030Z", + "iopub.status.idle": "2023-11-06T21:13:10.068358Z", + "shell.execute_reply": "2023-11-06T21:13:10.067618Z" }, "papermill": { - "duration": 6.120645, - "end_time": "2023-09-27T20:34:01.782580", + "duration": 5.341394, + "end_time": "2023-11-06T21:13:10.070343", "exception": false, - "start_time": "2023-09-27T20:33:55.661935", + "start_time": "2023-11-06T21:13:04.728949", "status": "completed" }, "tags": [] @@ -234,11 +237,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.0.1)\r\n", + "Collecting pip\r\n", + " Downloading pip-23.3.1-py3-none-any.whl.metadata (3.5 kB)\r\n", + "Downloading pip-23.3.1-py3-none-any.whl (2.1 MB)\r\n", + "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", + "\u001b[?25hInstalling collected packages: pip\r\n", + " Attempting uninstall: pip\r\n", + " Found existing installation: pip 23.0.1\r\n", + " Uninstalling pip-23.0.1:\r\n", + " Successfully uninstalled pip-23.0.1\r\n", + "Successfully installed pip-23.3.1\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -249,33 +262,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -283,14 +296,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -298,29 +311,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -334,10 +347,10 @@ "id": "a9ae3425", "metadata": { "papermill": { - "duration": 0.015055, - "end_time": "2023-09-27T20:34:01.811953", + "duration": 0.009271, + "end_time": "2023-11-06T21:13:10.089302", "exception": false, - "start_time": "2023-09-27T20:34:01.796898", + "start_time": "2023-11-06T21:13:10.080031", "status": "completed" }, "tags": [] @@ -352,16 +365,16 @@ "id": "ac52102e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:01.844254Z", - "iopub.status.busy": "2023-09-27T20:34:01.843302Z", - "iopub.status.idle": "2023-09-27T20:34:09.629725Z", - "shell.execute_reply": "2023-09-27T20:34:09.628670Z" + "iopub.execute_input": "2023-11-06T21:13:10.109880Z", + "iopub.status.busy": "2023-11-06T21:13:10.109206Z", + "iopub.status.idle": "2023-11-06T21:13:15.189735Z", + "shell.execute_reply": "2023-11-06T21:13:15.189090Z" }, "papermill": { - "duration": 7.804711, - "end_time": "2023-09-27T20:34:09.632060", + "duration": 5.092488, + "end_time": "2023-11-06T21:13:15.191120", "exception": false, - "start_time": "2023-09-27T20:34:01.827349", + "start_time": "2023-11-06T21:13:10.098632", "status": "completed" }, "tags": [] @@ -404,16 +417,16 @@ "id": "20d529af", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:09.666226Z", - "iopub.status.busy": "2023-09-27T20:34:09.665307Z", - "iopub.status.idle": "2023-09-27T20:34:09.681191Z", - "shell.execute_reply": "2023-09-27T20:34:09.680124Z" + "iopub.execute_input": "2023-11-06T21:13:15.212700Z", + "iopub.status.busy": "2023-11-06T21:13:15.211684Z", + "iopub.status.idle": "2023-11-06T21:13:15.222415Z", + "shell.execute_reply": "2023-11-06T21:13:15.221829Z" }, "papermill": { - "duration": 0.03652, - "end_time": "2023-09-27T20:34:09.684131", + "duration": 0.023123, + "end_time": "2023-11-06T21:13:15.223988", "exception": false, - "start_time": "2023-09-27T20:34:09.647611", + "start_time": "2023-11-06T21:13:15.200865", "status": "completed" }, "tags": [] @@ -429,16 +442,16 @@ "id": "b126e7d6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:09.717539Z", - "iopub.status.busy": "2023-09-27T20:34:09.716515Z", - "iopub.status.idle": "2023-09-27T20:34:09.725352Z", - "shell.execute_reply": "2023-09-27T20:34:09.724495Z" + "iopub.execute_input": "2023-11-06T21:13:15.244754Z", + "iopub.status.busy": "2023-11-06T21:13:15.244268Z", + "iopub.status.idle": "2023-11-06T21:13:15.250367Z", + "shell.execute_reply": "2023-11-06T21:13:15.249667Z" }, "papermill": { - "duration": 0.027269, - "end_time": "2023-09-27T20:34:09.727342", + "duration": 0.018119, + "end_time": "2023-11-06T21:13:15.251751", "exception": false, - "start_time": "2023-09-27T20:34:09.700073", + "start_time": "2023-11-06T21:13:15.233632", "status": "completed" }, "tags": [] @@ -448,7 +461,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_2653/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", + "/tmp/ipykernel_2756/3777615979.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n", " from IPython.core.display import display, HTML\n" ] }, @@ -475,10 +488,10 @@ "id": "fba2b66b", "metadata": { "papermill": { - "duration": 0.013513, - "end_time": "2023-09-27T20:34:09.755241", + "duration": 0.009581, + "end_time": "2023-11-06T21:13:15.271162", "exception": false, - "start_time": "2023-09-27T20:34:09.741728", + "start_time": "2023-11-06T21:13:15.261581", "status": "completed" }, "tags": [] @@ -495,16 +508,16 @@ "id": "6d7c550f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:09.787552Z", - "iopub.status.busy": "2023-09-27T20:34:09.786970Z", - "iopub.status.idle": "2023-09-27T20:34:09.791965Z", - "shell.execute_reply": "2023-09-27T20:34:09.790977Z" + "iopub.execute_input": "2023-11-06T21:13:15.292648Z", + "iopub.status.busy": "2023-11-06T21:13:15.292116Z", + "iopub.status.idle": "2023-11-06T21:13:15.295670Z", + "shell.execute_reply": "2023-11-06T21:13:15.294917Z" }, "papermill": { - "duration": 0.023139, - "end_time": "2023-09-27T20:34:09.794083", + "duration": 0.016171, + "end_time": "2023-11-06T21:13:15.297129", "exception": false, - "start_time": "2023-09-27T20:34:09.770944", + "start_time": "2023-11-06T21:13:15.280958", "status": "completed" }, "tags": [ @@ -523,16 +536,16 @@ "id": "feac4e93", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:09.864031Z", - "iopub.status.busy": "2023-09-27T20:34:09.863355Z", - "iopub.status.idle": "2023-09-27T20:34:12.933270Z", - "shell.execute_reply": "2023-09-27T20:34:12.932157Z" + "iopub.execute_input": "2023-11-06T21:13:15.345139Z", + "iopub.status.busy": "2023-11-06T21:13:15.344488Z", + "iopub.status.idle": "2023-11-06T21:13:18.639792Z", + "shell.execute_reply": "2023-11-06T21:13:18.639018Z" }, "papermill": { - "duration": 3.088697, - "end_time": "2023-09-27T20:34:12.935653", + "duration": 3.307989, + "end_time": "2023-11-06T21:13:18.641326", "exception": false, - "start_time": "2023-09-27T20:34:09.846956", + "start_time": "2023-11-06T21:13:15.333337", "status": "completed" }, "tags": [] @@ -542,7 +555,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", "\n", @@ -550,14 +563,20 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp1kreekw8/_downloaded_data.json\n", + "/tmp/tmpdc0be9b1/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 928kMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.47MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 3.78MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 7.07MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 247k/247k [00:00<00:00, 1.52MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.59M/1.59M [00:00<00:00, 10.0MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 657k/657k [00:00<00:00, 3.93MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.28M/4.28M [00:00<00:00, 5.71MMB/s]\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py:135: UpdatedStimulusPresentationTableWarning: \n", + "\tAs of AllenSDK version 2.16.0, the latest Visual Behavior Ophys data has been significantly updated from previous releases. Specifically the user will need to update all processing of the stimulus_presentations tables. These tables now include multiple stimulus types delineated by the columns `stimulus_block` and `stimulus_block_name`.\n", + "\n", + "The data that was available in previous releases are stored in the block name containing 'change_detection' and can be accessed in the pandas table by using: \n", + "\t`stimulus_presentations[stimulus_presentations.stimulus_block_name.str.contains('change_detection')]`\n", + " warnings.warn(\n" ] } ], @@ -572,10 +591,10 @@ "id": "5aaaaaf3", "metadata": { "papermill": { - "duration": 0.018004, - "end_time": "2023-09-27T20:34:12.970099", + "duration": 0.010917, + "end_time": "2023-11-06T21:13:18.663299", "exception": false, - "start_time": "2023-09-27T20:34:12.952095", + "start_time": "2023-11-06T21:13:18.652382", "status": "completed" }, "tags": [] @@ -592,16 +611,16 @@ "id": "d892b037", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:13.004406Z", - "iopub.status.busy": "2023-09-27T20:34:13.003036Z", - "iopub.status.idle": "2023-09-27T20:34:13.044403Z", - "shell.execute_reply": "2023-09-27T20:34:13.043308Z" + "iopub.execute_input": "2023-11-06T21:13:18.686409Z", + "iopub.status.busy": "2023-11-06T21:13:18.685873Z", + "iopub.status.idle": "2023-11-06T21:13:18.714433Z", + "shell.execute_reply": "2023-11-06T21:13:18.713709Z" }, "papermill": { - "duration": 0.062121, - "end_time": "2023-09-27T20:34:13.047775", + "duration": 0.042141, + "end_time": "2023-11-06T21:13:18.715990", "exception": false, - "start_time": "2023-09-27T20:34:12.985654", + "start_time": "2023-11-06T21:13:18.673849", "status": "completed" }, "tags": [] @@ -628,25 +647,39 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", + " imaging_plane_group_count\n", + " project_code\n", + " session_type\n", " session_number\n", + " image_set\n", + " behavior_type\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", " date_of_acquisition\n", - " session_type\n", + " equipment_name\n", + " num_depths_per_area\n", + " ophys_experiment_id\n", + " num_targeted_structures\n", + " go_trial_count\n", + " false_alarm_trial_count\n", + " catch_trial_count\n", + " engaged_trial_count\n", + " trial_count\n", + " hit_trial_count\n", + " miss_trial_count\n", + " correct_reject_trial_count\n", " file_id\n", " \n", " \n", @@ -671,386 +704,631 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 864248666\n", - " BEH.B-Box4\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G...\n", - " 456564\n", - " Ai94(TITL-GCaMP6s)\n", + " 829877552\n", + " <NA>\n", + " NaN\n", + " 436662\n", + " GCaMP6f\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 76.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6s\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 97\n", " <NA>\n", - " 1.0\n", + " VisualBehavior\n", + " TRAINING_4_images_A_handoff_lapsed\n", " <NA>\n", - " 0.0\n", + " images_A\n", + " active_behavior\n", + " Training\n", + " 3\n", + " 8\n", + " 0\n", + " 2019-02-27 14:02:35.929000+00:00\n", + " BEH.F\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-07 14:06:15.950000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085366e+09\n", + " <NA>\n", + " 171\n", + " 10\n", + " 24\n", + " 364\n", + " 680\n", + " 118\n", + " 53\n", + " 14\n", + " 4337\n", " \n", " \n", - " 1041261586\n", - " BEH.B-Box5\n", + " 880191852\n", + " <NA>\n", + " NaN\n", + " 453989\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 523922\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 143.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 115\n", " <NA>\n", - " 18.0\n", - " 26\n", - " 0.0\n", + " VisualBehaviorMultiscope\n", + " TRAINING_2_gratings_flashed\n", + " <NA>\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 13\n", + " <NA>\n", + " 0\n", + " 2019-06-03 12:47:43.079000+00:00\n", + " BEH.B-Box5\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2020-08-06 10:14:00.822000+00:00\n", - " TRAINING_5_images_A_handoff_ready\n", - " 1.081779e+09\n", + " <NA>\n", + " 147\n", + " 5\n", + " 25\n", + " 301\n", + " 850\n", + " 105\n", + " 42\n", + " 20\n", + " 5619\n", " \n", " \n", - " 940592960\n", - " BEH.G-Box5\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G...\n", - " 479426\n", - " Ai94(TITL-GCaMP6s)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 87.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6s\n", + " 853257103\n", + " <NA>\n", + " NaN\n", + " 448366\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Sst-IRES-Cre]\n", + " Sst-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 92\n", " <NA>\n", - " 0.0\n", + " VisualBehaviorMultiscope\n", + " TRAINING_1_gratings\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 2\n", + " <NA>\n", + " 0\n", + " 2019-04-17 13:51:53.529000+00:00\n", + " BEH.F-Box6\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-09-06 10:27:49.767000+00:00\n", - " TRAINING_0_gratings_autorewards_15min\n", - " 1.085374e+09\n", + " <NA>\n", + " 190\n", + " 8\n", + " 29\n", + " 252\n", + " 908\n", + " 77\n", + " 113\n", + " 21\n", + " 4941\n", " \n", " \n", - " 918448801\n", - " BEH.G-Box1\n", + " 923417336\n", + " 923202821\n", + " [915584942]\n", + " 464207\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 459773\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 151.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 30.0\n", - " 38\n", - " 0.0\n", + " Ai93(TITL-GCaMP6f)\n", + " F\n", + " 138\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-08-06 14:19:44.857000+00:00\n", - " TRAINING_5_images_A_handoff_ready\n", - " 1.081714e+09\n", + " VisualBehaviorTask1B\n", + " OPHYS_5_images_A_passive\n", + " 5\n", + " images_A\n", + " passive_viewing\n", + " Novel >1\n", + " 0\n", + " 1\n", + " 5\n", + " 2019-08-14 09:00:54.570000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [924108253]\n", + " 1\n", + " 356\n", + " 0\n", + " 51\n", + " 0\n", + " 407\n", + " 0\n", + " 356\n", + " 51\n", + " -999\n", " \n", " \n", - " 1052328261\n", - " CAM2P.4\n", + " 928279918\n", + " <NA>\n", + " NaN\n", + " 468866\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 523927\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " F\n", - " 191.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 126\n", + " <NA>\n", + " VisualBehavior\n", + " TRAINING_5_images_A_handoff_ready\n", + " <NA>\n", + " images_A\n", + " active_behavior\n", + " Training\n", " 0\n", - " 3.0\n", - " 50\n", - " 0.0\n", + " 7\n", + " 0\n", + " 2019-08-21 08:33:39.337000+00:00\n", + " BEH.G-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2020-09-23 11:32:46.966000+00:00\n", - " OPHYS_0_images_A_habituation\n", - " 1.085379e+09\n", + " <NA>\n", + " 201\n", + " 6\n", + " 29\n", + " 291\n", + " 660\n", + " 91\n", + " 110\n", + " 23\n", + " 5590\n", " \n", " \n", - " 939536227\n", - " BEH.F-Box1\n", + " 974888891\n", + " <NA>\n", + " NaN\n", + " 489066\n", + " GCaMP6f\n", " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", - " 467954\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", " [Vip-IRES-Cre]\n", - " M\n", - " 142.0\n", " Vip-IRES-Cre\n", - " GCaMP6f\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 88\n", " <NA>\n", - " 0.0\n", - " 3\n", - " 0.0\n", + " VisualBehaviorTask1B\n", + " TRAINING_0_gratings_autorewards_15min\n", + " <NA>\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", + " <NA>\n", + " 0\n", + " 2019-10-31 13:42:45.933000+00:00\n", + " BEH.F-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-09-05 09:26:26.238000+00:00\n", - " TRAINING_4_images_B_training\n", - " 1.081729e+09\n", + " <NA>\n", + " 0\n", + " 0\n", + " 0\n", + " 78\n", + " 123\n", + " 0\n", + " 0\n", + " 0\n", + " 5915\n", " \n", " \n", - " 948162486\n", - " BEH.F-Box5\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 476631\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 110.0\n", - " Slc17a7-IRES2-Cre\n", + " 951520315\n", + " <NA>\n", + " NaN\n", + " 480753\n", " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Sst-IRES-Cre]\n", + " Sst-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 93\n", + " <NA>\n", + " VisualBehaviorTask1B\n", + " TRAINING_2_gratings_flashed\n", " <NA>\n", - " 2.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", " 5\n", - " 0.0\n", + " <NA>\n", + " 0\n", + " 2019-09-20 10:10:14.267000+00:00\n", + " BEH.D-Box3\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-09-17 10:27:13.189000+00:00\n", - " TRAINING_4_images_B_training\n", - " 1.081742e+09\n", + " <NA>\n", + " 238\n", + " 5\n", + " 38\n", + " 251\n", + " 629\n", + " 59\n", + " 179\n", + " 33\n", + " 5262\n", " \n", " \n", - " 818539436\n", - " BEH.D\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 431252\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 110.0\n", - " Slc17a7-IRES2-Cre\n", + " 1011563369\n", + " 1011515036\n", + " [1018027796, 1018027816]\n", + " 499478\n", " GCaMP6f\n", - " <NA>\n", - " 1.0\n", + " Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Vip-IRES-Cre]\n", + " Vip-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 147\n", + " 2\n", + " VisualBehaviorMultiscope4areasx2d\n", + " OPHYS_6_images_H\n", + " 6\n", + " images_H\n", + " active_behavior\n", + " Novel >1\n", " 1\n", - " 0.0\n", - " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-02-05 10:18:37.203000+00:00\n", - " TRAINING_3_images_A_10uL_reward\n", - " 1.081579e+09\n", + " 3\n", + " 7\n", + " 2020-03-02 08:45:16.961000+00:00\n", + " MESO.1\n", + " 2\n", + " [1011771121, 1011771132]\n", + " 4\n", + " 280\n", + " 2\n", + " 39\n", + " 347\n", + " 605\n", + " 114\n", + " 166\n", + " 37\n", + " -999\n", " \n", " \n", - " 896543705\n", - " BEH.D-Box5\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 464207\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " F\n", - " 91.0\n", - " Slc17a7-IRES2-Cre\n", + " 1000808691\n", + " <NA>\n", + " NaN\n", + " 498972\n", " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " [Sst-IRES-Cre]\n", + " Sst-IRES-Cre\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " M\n", + " 106\n", " <NA>\n", - " 4.0\n", + " VisualBehaviorTask1B\n", + " TRAINING_0_gratings_autorewards_15min\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", + " <NA>\n", + " 0\n", + " 2020-01-17 15:45:47.353000+00:00\n", + " BEH.F-Box5\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-06-28 09:21:41.352000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085371e+09\n", + " <NA>\n", + " 0\n", + " 0\n", + " 0\n", + " 75\n", + " 123\n", + " 0\n", + " 0\n", + " 0\n", + " 4216\n", " \n", " \n", " 902260156\n", - " BEH.G-Box5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 133.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 133\n", + " <NA>\n", + " VisualBehaviorMultiscope\n", + " TRAINING_5_images_A_handoff_ready\n", " <NA>\n", - " 5.0\n", + " images_A\n", + " active_behavior\n", + " Training\n", + " 5\n", " 23\n", - " 0.0\n", + " 0\n", + " 2019-07-09 13:03:49.117000+00:00\n", + " BEH.G-Box5\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-07-09 13:03:49.117000+00:00\n", - " TRAINING_5_images_A_handoff_ready\n", - " 1.081658e+09\n", + " <NA>\n", + " 51\n", + " 5\n", + " 7\n", + " 14\n", + " 1109\n", + " 43\n", + " 8\n", + " 2\n", + " 1974\n", " \n", " \n", "\n", "" ], "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "864248666 BEH.B-Box4 \n", - "1041261586 BEH.B-Box5 \n", - "940592960 BEH.G-Box5 \n", - "918448801 BEH.G-Box1 \n", - "1052328261 CAM2P.4 \n", - "939536227 BEH.F-Box1 \n", - "948162486 BEH.F-Box5 \n", - "818539436 BEH.D \n", - "896543705 BEH.D-Box5 \n", - "902260156 BEH.G-Box5 \n", + " ophys_session_id ophys_container_id mouse_id \\\n", + "behavior_session_id \n", + "829877552 NaN 436662 \n", + "880191852 NaN 453989 \n", + "853257103 NaN 448366 \n", + "923417336 923202821 [915584942] 464207 \n", + "928279918 NaN 468866 \n", + "974888891 NaN 489066 \n", + "951520315 NaN 480753 \n", + "1011563369 1011515036 [1018027796, 1018027816] 499478 \n", + "1000808691 NaN 498972 \n", + "902260156 NaN 457841 \n", + "\n", + " indicator \\\n", + "behavior_session_id \n", + "829877552 GCaMP6f \n", + "880191852 GCaMP6f \n", + "853257103 GCaMP6f \n", + "923417336 GCaMP6f \n", + "928279918 GCaMP6f \n", + "974888891 GCaMP6f \n", + "951520315 GCaMP6f \n", + "1011563369 GCaMP6f \n", + "1000808691 GCaMP6f \n", + "902260156 GCaMP6f \n", "\n", " full_genotype \\\n", "behavior_session_id \n", - "864248666 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", - "1041261586 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "940592960 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai94(TITL-G... \n", - "918448801 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "1052328261 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "939536227 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", - "948162486 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "818539436 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "896543705 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "829877552 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "880191852 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "853257103 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "923417336 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "928279918 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "974888891 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951520315 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1011563369 Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "1000808691 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "902260156 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "864248666 456564 Ai94(TITL-GCaMP6s) \n", - "1041261586 523922 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "940592960 479426 Ai94(TITL-GCaMP6s) \n", - "918448801 459773 Ai93(TITL-GCaMP6f) \n", - "1052328261 523927 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "939536227 467954 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "948162486 476631 Ai93(TITL-GCaMP6f) \n", - "818539436 431252 Ai93(TITL-GCaMP6f) \n", - "896543705 464207 Ai93(TITL-GCaMP6f) \n", - "902260156 457841 Ai148(TIT2L-GC6f-ICL-tTA2) \n", - "\n", - " driver_line sex age_in_days \\\n", - "behavior_session_id \n", - "864248666 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 76.0 \n", - "1041261586 [Vip-IRES-Cre] M 143.0 \n", - "940592960 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 87.0 \n", - "918448801 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 151.0 \n", - "1052328261 [Vip-IRES-Cre] F 191.0 \n", - "939536227 [Vip-IRES-Cre] M 142.0 \n", - "948162486 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 110.0 \n", - "818539436 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 110.0 \n", - "896543705 [Slc17a7-IRES2-Cre, Camk2a-tTA] F 91.0 \n", - "902260156 [Sst-IRES-Cre] F 133.0 \n", - "\n", - " cre_line indicator session_number \\\n", + " driver_line cre_line \\\n", + "behavior_session_id \n", + "829877552 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "880191852 [Vip-IRES-Cre] Vip-IRES-Cre \n", + "853257103 [Sst-IRES-Cre] Sst-IRES-Cre \n", + "923417336 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "928279918 [Vip-IRES-Cre] Vip-IRES-Cre \n", + "974888891 [Vip-IRES-Cre] Vip-IRES-Cre \n", + "951520315 [Sst-IRES-Cre] Sst-IRES-Cre \n", + "1011563369 [Vip-IRES-Cre] Vip-IRES-Cre \n", + "1000808691 [Sst-IRES-Cre] Sst-IRES-Cre \n", + "902260156 [Sst-IRES-Cre] Sst-IRES-Cre \n", + "\n", + " reporter_line sex age_in_days \\\n", "behavior_session_id \n", - "864248666 Slc17a7-IRES2-Cre GCaMP6s \n", - "1041261586 Vip-IRES-Cre GCaMP6f \n", - "940592960 Slc17a7-IRES2-Cre GCaMP6s \n", - "918448801 Slc17a7-IRES2-Cre GCaMP6f \n", - "1052328261 Vip-IRES-Cre GCaMP6f 0 \n", - "939536227 Vip-IRES-Cre GCaMP6f \n", - "948162486 Slc17a7-IRES2-Cre GCaMP6f \n", - "818539436 Slc17a7-IRES2-Cre GCaMP6f \n", - "896543705 Slc17a7-IRES2-Cre GCaMP6f \n", - "902260156 Sst-IRES-Cre GCaMP6f \n", + "829877552 Ai93(TITL-GCaMP6f) M 97 \n", + "880191852 Ai148(TIT2L-GC6f-ICL-tTA2) M 115 \n", + "853257103 Ai148(TIT2L-GC6f-ICL-tTA2) M 92 \n", + "923417336 Ai93(TITL-GCaMP6f) F 138 \n", + "928279918 Ai148(TIT2L-GC6f-ICL-tTA2) F 126 \n", + "974888891 Ai148(TIT2L-GC6f-ICL-tTA2) F 88 \n", + "951520315 Ai148(TIT2L-GC6f-ICL-tTA2) M 93 \n", + "1011563369 Ai148(TIT2L-GC6f-ICL-tTA2) F 147 \n", + "1000808691 Ai148(TIT2L-GC6f-ICL-tTA2) M 106 \n", + "902260156 Ai148(TIT2L-GC6f-ICL-tTA2) F 133 \n", + "\n", + " imaging_plane_group_count \\\n", + "behavior_session_id \n", + "829877552 \n", + "880191852 \n", + "853257103 \n", + "923417336 \n", + "928279918 \n", + "974888891 \n", + "951520315 \n", + "1011563369 2 \n", + "1000808691 \n", + "902260156 \n", + "\n", + " project_code \\\n", + "behavior_session_id \n", + "829877552 VisualBehavior \n", + "880191852 VisualBehaviorMultiscope \n", + "853257103 VisualBehaviorMultiscope \n", + "923417336 VisualBehaviorTask1B \n", + "928279918 VisualBehavior \n", + "974888891 VisualBehaviorTask1B \n", + "951520315 VisualBehaviorTask1B \n", + "1011563369 VisualBehaviorMultiscope4areasx2d \n", + "1000808691 VisualBehaviorTask1B \n", + "902260156 VisualBehaviorMultiscope \n", + "\n", + " session_type session_number \\\n", + "behavior_session_id \n", + "829877552 TRAINING_4_images_A_handoff_lapsed \n", + "880191852 TRAINING_2_gratings_flashed \n", + "853257103 TRAINING_1_gratings \n", + "923417336 OPHYS_5_images_A_passive 5 \n", + "928279918 TRAINING_5_images_A_handoff_ready \n", + "974888891 TRAINING_0_gratings_autorewards_15min \n", + "951520315 TRAINING_2_gratings_flashed \n", + "1011563369 OPHYS_6_images_H 6 \n", + "1000808691 TRAINING_0_gratings_autorewards_15min \n", + "902260156 TRAINING_5_images_A_handoff_ready \n", + "\n", + " image_set behavior_type experience_level \\\n", + "behavior_session_id \n", + "829877552 images_A active_behavior Training \n", + "880191852 gratings active_behavior Training \n", + "853257103 gratings active_behavior Training \n", + "923417336 images_A passive_viewing Novel >1 \n", + "928279918 images_A active_behavior Training \n", + "974888891 gratings active_behavior Training \n", + "951520315 gratings active_behavior Training \n", + "1011563369 images_H active_behavior Novel >1 \n", + "1000808691 gratings active_behavior Training \n", + "902260156 images_A active_behavior Training \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "864248666 1.0 \n", - "1041261586 18.0 \n", - "940592960 0.0 \n", - "918448801 30.0 \n", - "1052328261 3.0 \n", - "939536227 0.0 \n", - "948162486 2.0 \n", - "818539436 1.0 \n", - "896543705 4.0 \n", - "902260156 5.0 \n", + "829877552 3 \n", + "880191852 13 \n", + "853257103 2 \n", + "923417336 0 \n", + "928279918 0 \n", + "974888891 0 \n", + "951520315 5 \n", + "1011563369 1 \n", + "1000808691 0 \n", + "902260156 5 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "864248666 \n", - "1041261586 26 \n", - "940592960 \n", - "918448801 38 \n", - "1052328261 50 \n", - "939536227 3 \n", - "948162486 5 \n", - "818539436 1 \n", - "896543705 \n", + "829877552 8 \n", + "880191852 \n", + "853257103 \n", + "923417336 1 \n", + "928279918 7 \n", + "974888891 \n", + "951520315 \n", + "1011563369 3 \n", + "1000808691 \n", "902260156 23 \n", "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", + " prior_exposures_to_omissions \\\n", + "behavior_session_id \n", + "829877552 0 \n", + "880191852 0 \n", + "853257103 0 \n", + "923417336 5 \n", + "928279918 0 \n", + "974888891 0 \n", + "951520315 0 \n", + "1011563369 7 \n", + "1000808691 0 \n", + "902260156 0 \n", + "\n", + " date_of_acquisition equipment_name \\\n", "behavior_session_id \n", - "864248666 0.0 \n", - "1041261586 0.0 \n", - "940592960 0.0 \n", - "918448801 0.0 \n", - "1052328261 0.0 \n", - "939536227 0.0 \n", - "948162486 0.0 \n", - "818539436 0.0 \n", - "896543705 0.0 \n", - "902260156 0.0 \n", - "\n", - " ophys_experiment_id ophys_container_id project_code \\\n", - "behavior_session_id \n", - "864248666 NaN NaN NaN \n", - "1041261586 NaN NaN NaN \n", - "940592960 NaN NaN NaN \n", - "918448801 NaN NaN NaN \n", - "1052328261 NaN NaN NaN \n", - "939536227 NaN NaN NaN \n", - "948162486 NaN NaN NaN \n", - "818539436 NaN NaN NaN \n", - "896543705 NaN NaN NaN \n", - "902260156 NaN NaN NaN \n", - "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "864248666 2019-05-07 14:06:15.950000+00:00 \n", - "1041261586 2020-08-06 10:14:00.822000+00:00 \n", - "940592960 2019-09-06 10:27:49.767000+00:00 \n", - "918448801 2019-08-06 14:19:44.857000+00:00 \n", - "1052328261 2020-09-23 11:32:46.966000+00:00 \n", - "939536227 2019-09-05 09:26:26.238000+00:00 \n", - "948162486 2019-09-17 10:27:13.189000+00:00 \n", - "818539436 2019-02-05 10:18:37.203000+00:00 \n", - "896543705 2019-06-28 09:21:41.352000+00:00 \n", - "902260156 2019-07-09 13:03:49.117000+00:00 \n", - "\n", - " session_type file_id \n", - "behavior_session_id \n", - "864248666 TRAINING_1_gratings 1.085366e+09 \n", - "1041261586 TRAINING_5_images_A_handoff_ready 1.081779e+09 \n", - "940592960 TRAINING_0_gratings_autorewards_15min 1.085374e+09 \n", - "918448801 TRAINING_5_images_A_handoff_ready 1.081714e+09 \n", - "1052328261 OPHYS_0_images_A_habituation 1.085379e+09 \n", - "939536227 TRAINING_4_images_B_training 1.081729e+09 \n", - "948162486 TRAINING_4_images_B_training 1.081742e+09 \n", - "818539436 TRAINING_3_images_A_10uL_reward 1.081579e+09 \n", - "896543705 TRAINING_1_gratings 1.085371e+09 \n", - "902260156 TRAINING_5_images_A_handoff_ready 1.081658e+09 " + "829877552 2019-02-27 14:02:35.929000+00:00 BEH.F \n", + "880191852 2019-06-03 12:47:43.079000+00:00 BEH.B-Box5 \n", + "853257103 2019-04-17 13:51:53.529000+00:00 BEH.F-Box6 \n", + "923417336 2019-08-14 09:00:54.570000+00:00 CAM2P.3 \n", + "928279918 2019-08-21 08:33:39.337000+00:00 BEH.G-Box1 \n", + "974888891 2019-10-31 13:42:45.933000+00:00 BEH.F-Box1 \n", + "951520315 2019-09-20 10:10:14.267000+00:00 BEH.D-Box3 \n", + "1011563369 2020-03-02 08:45:16.961000+00:00 MESO.1 \n", + "1000808691 2020-01-17 15:45:47.353000+00:00 BEH.F-Box5 \n", + "902260156 2019-07-09 13:03:49.117000+00:00 BEH.G-Box5 \n", + "\n", + " num_depths_per_area ophys_experiment_id \\\n", + "behavior_session_id \n", + "829877552 NaN \n", + "880191852 NaN \n", + "853257103 NaN \n", + "923417336 1 [924108253] \n", + "928279918 NaN \n", + "974888891 NaN \n", + "951520315 NaN \n", + "1011563369 2 [1011771121, 1011771132] \n", + "1000808691 NaN \n", + "902260156 NaN \n", + "\n", + " num_targeted_structures go_trial_count \\\n", + "behavior_session_id \n", + "829877552 171 \n", + "880191852 147 \n", + "853257103 190 \n", + "923417336 1 356 \n", + "928279918 201 \n", + "974888891 0 \n", + "951520315 238 \n", + "1011563369 4 280 \n", + "1000808691 0 \n", + "902260156 51 \n", + "\n", + " false_alarm_trial_count catch_trial_count \\\n", + "behavior_session_id \n", + "829877552 10 24 \n", + "880191852 5 25 \n", + "853257103 8 29 \n", + "923417336 0 51 \n", + "928279918 6 29 \n", + "974888891 0 0 \n", + "951520315 5 38 \n", + "1011563369 2 39 \n", + "1000808691 0 0 \n", + "902260156 5 7 \n", + "\n", + " engaged_trial_count trial_count hit_trial_count \\\n", + "behavior_session_id \n", + "829877552 364 680 118 \n", + "880191852 301 850 105 \n", + "853257103 252 908 77 \n", + "923417336 0 407 0 \n", + "928279918 291 660 91 \n", + "974888891 78 123 0 \n", + "951520315 251 629 59 \n", + "1011563369 347 605 114 \n", + "1000808691 75 123 0 \n", + "902260156 14 1109 43 \n", + "\n", + " miss_trial_count correct_reject_trial_count file_id \n", + "behavior_session_id \n", + "829877552 53 14 4337 \n", + "880191852 42 20 5619 \n", + "853257103 113 21 4941 \n", + "923417336 356 51 -999 \n", + "928279918 110 23 5590 \n", + "974888891 0 0 5915 \n", + "951520315 179 33 5262 \n", + "1011563369 166 37 -999 \n", + "1000808691 0 0 4216 \n", + "902260156 8 2 1974 " ] }, "execution_count": 9, @@ -1067,10 +1345,10 @@ "id": "f12ffb86", "metadata": { "papermill": { - "duration": 0.016679, - "end_time": "2023-09-27T20:34:13.082500", + "duration": 0.011411, + "end_time": "2023-11-06T21:13:18.738909", "exception": false, - "start_time": "2023-09-27T20:34:13.065821", + "start_time": "2023-11-06T21:13:18.727498", "status": "completed" }, "tags": [] @@ -1086,16 +1364,16 @@ "id": "996653c7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:13.117214Z", - "iopub.status.busy": "2023-09-27T20:34:13.116621Z", - "iopub.status.idle": "2023-09-27T20:34:13.124720Z", - "shell.execute_reply": "2023-09-27T20:34:13.123728Z" + "iopub.execute_input": "2023-11-06T21:13:18.763059Z", + "iopub.status.busy": "2023-11-06T21:13:18.762504Z", + "iopub.status.idle": "2023-11-06T21:13:18.768267Z", + "shell.execute_reply": "2023-11-06T21:13:18.767662Z" }, "papermill": { - "duration": 0.028385, - "end_time": "2023-09-27T20:34:13.126721", + "duration": 0.019672, + "end_time": "2023-11-06T21:13:18.769634", "exception": false, - "start_time": "2023-09-27T20:34:13.098336", + "start_time": "2023-11-06T21:13:18.749962", "status": "completed" }, "tags": [] @@ -1104,7 +1382,7 @@ { "data": { "text/plain": [ - "'440298'" + "array(['457841', '476970', '412036', '429952', '449441'], dtype=object)" ] }, "execution_count": 10, @@ -1121,10 +1399,10 @@ "id": "7c38c6ab", "metadata": { "papermill": { - "duration": 0.017086, - "end_time": "2023-09-27T20:34:13.162651", + "duration": 0.011388, + "end_time": "2023-11-06T21:13:18.792679", "exception": false, - "start_time": "2023-09-27T20:34:13.145565", + "start_time": "2023-11-06T21:13:18.781291", "status": "completed" }, "tags": [] @@ -1154,16 +1432,16 @@ "id": "dc94df56", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:13.199365Z", - "iopub.status.busy": "2023-09-27T20:34:13.198166Z", - "iopub.status.idle": "2023-09-27T20:34:13.264261Z", - "shell.execute_reply": "2023-09-27T20:34:13.263242Z" + "iopub.execute_input": "2023-11-06T21:13:18.817294Z", + "iopub.status.busy": "2023-11-06T21:13:18.816776Z", + "iopub.status.idle": "2023-11-06T21:13:18.858073Z", + "shell.execute_reply": "2023-11-06T21:13:18.857332Z" }, "papermill": { - "duration": 0.087685, - "end_time": "2023-09-27T20:34:13.267265", + "duration": 0.055204, + "end_time": "2023-11-06T21:13:18.859566", "exception": false, - "start_time": "2023-09-27T20:34:13.179580", + "start_time": "2023-11-06T21:13:18.804362", "status": "completed" }, "scrolled": false, @@ -1191,25 +1469,39 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", + " imaging_plane_group_count\n", + " project_code\n", + " session_type\n", " session_number\n", + " image_set\n", + " behavior_type\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", " date_of_acquisition\n", - " session_type\n", + " equipment_name\n", + " num_depths_per_area\n", + " ophys_experiment_id\n", + " num_targeted_structures\n", + " go_trial_count\n", + " false_alarm_trial_count\n", + " catch_trial_count\n", + " engaged_trial_count\n", + " trial_count\n", + " hit_trial_count\n", + " miss_trial_count\n", + " correct_reject_trial_count\n", " file_id\n", " \n", " \n", @@ -1234,998 +1526,1347 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 831129394\n", - " BEH.F\n", + " 837658854\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 81.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 72\n", " <NA>\n", - " 0.0\n", + " VisualBehavior\n", + " TRAINING_0_gratings_autorewards_15min\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", + " <NA>\n", + " 0\n", + " 2019-03-15 14:49:24.015000+00:00\n", + " BEH.B-Box3\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-01 13:25:23.766000+00:00\n", - " TRAINING_0_gratings_autorewards_15min\n", - " 1.085362e+09\n", + " <NA>\n", 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Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 107.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 0\n", - " 2.0\n", - " 11\n", - " 0.0\n", - " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-27 09:00:04.195000+00:00\n", - " OPHYS_0_images_A_habituation\n", - " 1.085362e+09\n", - " \n", - " \n", - " 842729895\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 108.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 1\n", - " 0.0\n", - " 12\n", - " 0.0\n", - " 842583486\n", - " [842973730]\n", - " [843049827]\n", + " 97\n", + " <NA>\n", " VisualBehavior\n", - " 2019-03-28 09:17:59.122000+00:00\n", " OPHYS_1_images_A\n", - " NaN\n", + " 1\n", + " images_A\n", + " active_behavior\n", + " Familiar\n", + " 0\n", + " 11\n", + " 0\n", + " 2019-04-09 13:26:26.372000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [848697625]\n", + " 1\n", + " 228\n", + " 6\n", + " 35\n", + " 534\n", + " 632\n", + " 144\n", + " 84\n", + " 29\n", + " -999\n", " \n", " \n", - " 843203333\n", - " CAM2P.3\n", + " 849147676\n", + " 848894137\n", + " [846215539]\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 109.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 2\n", - " 0.0\n", - " 13\n", - " 1.0\n", - " 843049997\n", - " [843519218]\n", - " [843049827]\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 98\n", + " <NA>\n", " VisualBehavior\n", - " 2019-03-29 08:58:48.934000+00:00\n", " OPHYS_2_images_A_passive\n", - " NaN\n", + " 2\n", + " images_A\n", + " passive_viewing\n", + " Familiar\n", + " 0\n", + " 12\n", + " 1\n", + " 2019-04-10 13:34:39.264000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [849203565]\n", + " 1\n", + " 352\n", + " 0\n", + " 50\n", + " 0\n", + " 402\n", + " 0\n", + " 352\n", + " 50\n", + " -999\n", " \n", " \n", - " 844164376\n", - " CAM2P.3\n", + " 849651275\n", + " 849597937\n", + " [846215539]\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 112.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 3\n", - " 0.0\n", - " 14\n", - " 2.0\n", - " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-04-01 10:52:03.251000+00:00\n", - " OPHYS_3_images_A\n", - " 1.081592e+09\n", - " \n", - " \n", - " 844849972\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 113.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 3\n", - " 1.0\n", - " 15\n", - " 3.0\n", + " 99\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-04-02 11:36:52.447000+00:00\n", + " VisualBehavior\n", " OPHYS_3_images_A\n", - " 1.081592e+09\n", + " 3\n", + " images_A\n", + " active_behavior\n", + " Familiar\n", + " 0\n", + " 13\n", + " 2\n", + " 2019-04-11 12:31:50.074000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [850479305]\n", + " 1\n", + " 200\n", + " 2\n", + " 28\n", + " 426\n", + " 699\n", + " 117\n", + " 83\n", + " 26\n", + " -999\n", " \n", " \n", - " 845441512\n", - " CAM2P.3\n", + " 850989832\n", + " 850959102\n", + " [846215539]\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 114.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 4\n", - " 0.0\n", - " 0\n", - " 4.0\n", - " 845219209\n", - " [848694639]\n", - " [843049827]\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 100\n", + " <NA>\n", " VisualBehavior\n", - " 2019-04-03 10:15:51.376000+00:00\n", " OPHYS_4_images_B\n", - " NaN\n", + " 4\n", + " images_B\n", + " active_behavior\n", + " Novel 1\n", + " 0\n", + " 0\n", + " 3\n", + " 2019-04-12 13:30:27.946000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [851060467]\n", + " 1\n", + " 231\n", + " 7\n", + " 34\n", + " 550\n", + " 664\n", + " 154\n", + " 77\n", + " 27\n", + " -999\n", " \n", " \n", - " 846194950\n", - " CAM2P.3\n", + " 851773928\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 115.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 103\n", + " <NA>\n", + " VisualBehavior\n", + " OPHYS_5_images_B_passive\n", " 5\n", - " 0.0\n", + " images_B\n", + " passive_viewing\n", + " Novel >1\n", + " 0\n", " 1\n", - " 5.0\n", + " 4\n", + " 2019-04-15 12:20:00.123000+00:00\n", + " CAM2P.3\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-04-04 11:13:54.409000+00:00\n", - " OPHYS_5_images_B_passive\n", - " 1.081593e+09\n", + " <NA>\n", + " 356\n", + " 0\n", + " 51\n", + " 0\n", + " 407\n", + " 0\n", + " 356\n", + " 51\n", + " 5252\n", " \n", " \n", - " 846929750\n", - " CAM2P.3\n", + " 852451567\n", + " 852326785\n", + " [846215539]\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 116.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 6\n", - " 0.0\n", - " 2\n", - " 6.0\n", - " 846599329\n", - " [847125577]\n", - " [843049827]\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 104\n", + " <NA>\n", " VisualBehavior\n", - " 2019-04-05 11:07:22.302000+00:00\n", " OPHYS_6_images_B\n", - " NaN\n", + " 6\n", + " images_B\n", + " active_behavior\n", + " Novel >1\n", + " 0\n", + " 2\n", + " 5\n", + " 2019-04-16 12:24:46.804000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [852691524]\n", + " 1\n", + " 201\n", + " 7\n", + " 30\n", + " 649\n", + " 731\n", + " 161\n", + " 40\n", + " 23\n", + " -999\n", " \n", " \n", - " 848503804\n", - " CAM2P.3\n", + " 855200229\n", + " 855083235\n", + " [846215539]\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 120.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 5\n", - " 1.0\n", - " 3\n", - " 7.0\n", - " 848264175\n", - " [848698709]\n", - " [843049827]\n", - " VisualBehavior\n", - " 2019-04-09 11:30:55.092000+00:00\n", - " OPHYS_5_images_B_passive\n", - " NaN\n", - " \n", - " \n", - " 853526948\n", - " CAM2P.3\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", " M\n", - " 129.0\n", - " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 3\n", - " 2.0\n", - " 16\n", - " 8.0\n", + " 110\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-04-18 09:36:48.583000+00:00\n", - " OPHYS_3_images_A\n", - " 1.081598e+09\n", + " VisualBehavior\n", + " OPHYS_5_images_B_passive\n", + " 5\n", + " images_B\n", + " passive_viewing\n", + " Novel >1\n", + " 1\n", + " 3\n", + " 7\n", + " 2019-04-22 09:01:33.022000+00:00\n", + " CAM2P.3\n", + " 1\n", + " [855582961]\n", + " 1\n", + " 355\n", + " 0\n", + " 51\n", + " 0\n", + " 406\n", + " 0\n", + " 355\n", + " 51\n", + " -999\n", " \n", " \n", "\n", "" ], "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "831129394 BEH.F \n", - "832021447 BEH.F \n", - "832544149 BEH.F \n", - "833328750 BEH.F \n", - "834087859 BEH.F \n", - "834903060 BEH.F \n", - "835557296 BEH.F \n", - "836166694 BEH.F \n", - "836761653 BEH.F \n", - "837192567 BEH.F-Box5 \n", - "837638916 BEH.F-Box5 \n", - "838496126 BEH.F-Box5 \n", - "839234289 BEH.F-Box5 \n", - "839566045 BEH.F-Box5 \n", - "839939986 BEH.F-Box5 \n", - "840594514 BEH.F-Box5 \n", - "841148118 CAM2P.3 \n", - "841707177 CAM2P.3 \n", - "842174399 CAM2P.3 \n", - "842729895 CAM2P.3 \n", - "843203333 CAM2P.3 \n", - "844164376 CAM2P.3 \n", - "844849972 CAM2P.3 \n", - "845441512 CAM2P.3 \n", - "846194950 CAM2P.3 \n", - "846929750 CAM2P.3 \n", - "848503804 CAM2P.3 \n", - "853526948 CAM2P.3 \n", + " ophys_session_id ophys_container_id mouse_id indicator \\\n", + "behavior_session_id \n", + "837658854 NaN 445002 GCaMP6f \n", + "838515247 NaN 445002 GCaMP6f \n", + "839219841 NaN 445002 GCaMP6f \n", + "839565422 NaN 445002 GCaMP6f \n", + "839912316 NaN 445002 GCaMP6f \n", + "840581827 NaN 445002 GCaMP6f \n", + "841426832 NaN 445002 GCaMP6f \n", + "841827774 NaN 445002 GCaMP6f \n", + "842385277 NaN 445002 GCaMP6f \n", + "842819933 NaN 445002 GCaMP6f \n", + "843400453 NaN 445002 GCaMP6f \n", + "844199758 NaN 445002 GCaMP6f \n", + "844908261 NaN 445002 GCaMP6f \n", + "845572044 NaN 445002 GCaMP6f \n", + "846331423 NaN 445002 GCaMP6f \n", + "847036328 NaN 445002 GCaMP6f \n", + "847874940 NaN 445002 GCaMP6f \n", + "848613406 848264483 [846215539] 445002 GCaMP6f \n", + "849147676 848894137 [846215539] 445002 GCaMP6f \n", + "849651275 849597937 [846215539] 445002 GCaMP6f \n", + "850989832 850959102 [846215539] 445002 GCaMP6f \n", + "851773928 NaN 445002 GCaMP6f \n", + "852451567 852326785 [846215539] 445002 GCaMP6f \n", + "855200229 855083235 [846215539] 445002 GCaMP6f \n", "\n", " full_genotype \\\n", "behavior_session_id \n", - "831129394 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "832021447 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "832544149 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "833328750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "834087859 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "834903060 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "835557296 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "836166694 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "836761653 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "837192567 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "837638916 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "838496126 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839234289 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839566045 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "839939986 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "840594514 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "841148118 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "841707177 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "842174399 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "842729895 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "843203333 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "844164376 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "844849972 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "845441512 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "846194950 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "846929750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "848503804 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "853526948 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "831129394 440298 Ai93(TITL-GCaMP6f) \n", - "832021447 440298 Ai93(TITL-GCaMP6f) \n", - "832544149 440298 Ai93(TITL-GCaMP6f) \n", - "833328750 440298 Ai93(TITL-GCaMP6f) \n", - "834087859 440298 Ai93(TITL-GCaMP6f) \n", - "834903060 440298 Ai93(TITL-GCaMP6f) \n", - "835557296 440298 Ai93(TITL-GCaMP6f) \n", - "836166694 440298 Ai93(TITL-GCaMP6f) \n", - "836761653 440298 Ai93(TITL-GCaMP6f) \n", - "837192567 440298 Ai93(TITL-GCaMP6f) \n", - "837638916 440298 Ai93(TITL-GCaMP6f) \n", - "838496126 440298 Ai93(TITL-GCaMP6f) \n", - "839234289 440298 Ai93(TITL-GCaMP6f) \n", - "839566045 440298 Ai93(TITL-GCaMP6f) \n", - "839939986 440298 Ai93(TITL-GCaMP6f) \n", - "840594514 440298 Ai93(TITL-GCaMP6f) \n", - "841148118 440298 Ai93(TITL-GCaMP6f) \n", - "841707177 440298 Ai93(TITL-GCaMP6f) \n", - "842174399 440298 Ai93(TITL-GCaMP6f) \n", - "842729895 440298 Ai93(TITL-GCaMP6f) \n", - "843203333 440298 Ai93(TITL-GCaMP6f) \n", - "844164376 440298 Ai93(TITL-GCaMP6f) \n", - "844849972 440298 Ai93(TITL-GCaMP6f) \n", - "845441512 440298 Ai93(TITL-GCaMP6f) \n", - "846194950 440298 Ai93(TITL-GCaMP6f) \n", - "846929750 440298 Ai93(TITL-GCaMP6f) \n", - "848503804 440298 Ai93(TITL-GCaMP6f) \n", - "853526948 440298 Ai93(TITL-GCaMP6f) \n", - "\n", - " driver_line sex age_in_days \\\n", - "behavior_session_id \n", - "831129394 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 81.0 \n", - "832021447 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 84.0 \n", - "832544149 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 85.0 \n", - "833328750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 86.0 \n", - "834087859 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 87.0 \n", - "834903060 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 88.0 \n", - "835557296 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 91.0 \n", - "836166694 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 92.0 \n", - "836761653 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 93.0 \n", - "837192567 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 94.0 \n", - "837638916 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 95.0 \n", - "838496126 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 98.0 \n", - "839234289 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 99.0 \n", - "839566045 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 100.0 \n", - "839939986 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 101.0 \n", - "840594514 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 102.0 \n", - "841148118 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 105.0 \n", - "841707177 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 106.0 \n", - "842174399 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 107.0 \n", - "842729895 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 108.0 \n", - "843203333 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 109.0 \n", - "844164376 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 112.0 \n", - "844849972 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 113.0 \n", - "845441512 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 114.0 \n", - "846194950 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 115.0 \n", - "846929750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 116.0 \n", - "848503804 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 120.0 \n", - "853526948 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 129.0 \n", - "\n", - " cre_line indicator session_number \\\n", - "behavior_session_id \n", - "831129394 Slc17a7-IRES2-Cre GCaMP6f \n", - "832021447 Slc17a7-IRES2-Cre GCaMP6f \n", - "832544149 Slc17a7-IRES2-Cre GCaMP6f \n", - "833328750 Slc17a7-IRES2-Cre GCaMP6f \n", - "834087859 Slc17a7-IRES2-Cre GCaMP6f \n", - "834903060 Slc17a7-IRES2-Cre GCaMP6f \n", - "835557296 Slc17a7-IRES2-Cre GCaMP6f \n", - "836166694 Slc17a7-IRES2-Cre GCaMP6f \n", - "836761653 Slc17a7-IRES2-Cre GCaMP6f \n", - "837192567 Slc17a7-IRES2-Cre GCaMP6f \n", - "837638916 Slc17a7-IRES2-Cre GCaMP6f \n", - "838496126 Slc17a7-IRES2-Cre GCaMP6f \n", - "839234289 Slc17a7-IRES2-Cre GCaMP6f \n", - "839566045 Slc17a7-IRES2-Cre GCaMP6f \n", - "839939986 Slc17a7-IRES2-Cre GCaMP6f \n", - "840594514 Slc17a7-IRES2-Cre GCaMP6f \n", - "841148118 Slc17a7-IRES2-Cre GCaMP6f 0 \n", - "841707177 Slc17a7-IRES2-Cre GCaMP6f 0 \n", - "842174399 Slc17a7-IRES2-Cre GCaMP6f 0 \n", - "842729895 Slc17a7-IRES2-Cre GCaMP6f 1 \n", - "843203333 Slc17a7-IRES2-Cre GCaMP6f 2 \n", - "844164376 Slc17a7-IRES2-Cre GCaMP6f 3 \n", - "844849972 Slc17a7-IRES2-Cre GCaMP6f 3 \n", - "845441512 Slc17a7-IRES2-Cre GCaMP6f 4 \n", - "846194950 Slc17a7-IRES2-Cre GCaMP6f 5 \n", - "846929750 Slc17a7-IRES2-Cre GCaMP6f 6 \n", - "848503804 Slc17a7-IRES2-Cre GCaMP6f 5 \n", - "853526948 Slc17a7-IRES2-Cre GCaMP6f 3 \n", + "837658854 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "838515247 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839219841 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839565422 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839912316 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "840581827 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "841426832 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "841827774 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "842385277 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "842819933 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "843400453 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "844199758 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "844908261 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "845572044 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "846331423 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "847036328 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "847874940 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "848613406 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "849147676 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "849651275 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "850989832 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "851773928 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "852451567 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "855200229 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "\n", + " driver_line cre_line \\\n", + "behavior_session_id \n", + "837658854 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "838515247 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839219841 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839565422 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839912316 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "840581827 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "841426832 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "841827774 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "842385277 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "842819933 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "843400453 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "844199758 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "844908261 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "845572044 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "846331423 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "847036328 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "847874940 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "848613406 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "849147676 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "849651275 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "850989832 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "851773928 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "852451567 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "855200229 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "\n", + " reporter_line sex age_in_days \\\n", + "behavior_session_id \n", + "837658854 Ai93(TITL-GCaMP6f) M 72 \n", + "838515247 Ai93(TITL-GCaMP6f) M 75 \n", + "839219841 Ai93(TITL-GCaMP6f) M 76 \n", + "839565422 Ai93(TITL-GCaMP6f) M 77 \n", + "839912316 Ai93(TITL-GCaMP6f) M 78 \n", + "840581827 Ai93(TITL-GCaMP6f) M 79 \n", + "841426832 Ai93(TITL-GCaMP6f) M 82 \n", + "841827774 Ai93(TITL-GCaMP6f) M 83 \n", + "842385277 Ai93(TITL-GCaMP6f) M 84 \n", + "842819933 Ai93(TITL-GCaMP6f) M 85 \n", + "843400453 Ai93(TITL-GCaMP6f) M 86 \n", + "844199758 Ai93(TITL-GCaMP6f) M 89 \n", + "844908261 Ai93(TITL-GCaMP6f) M 90 \n", + "845572044 Ai93(TITL-GCaMP6f) M 91 \n", + "846331423 Ai93(TITL-GCaMP6f) M 92 \n", + "847036328 Ai93(TITL-GCaMP6f) M 93 \n", + "847874940 Ai93(TITL-GCaMP6f) M 96 \n", + "848613406 Ai93(TITL-GCaMP6f) M 97 \n", + "849147676 Ai93(TITL-GCaMP6f) M 98 \n", + "849651275 Ai93(TITL-GCaMP6f) M 99 \n", + "850989832 Ai93(TITL-GCaMP6f) M 100 \n", + "851773928 Ai93(TITL-GCaMP6f) M 103 \n", + "852451567 Ai93(TITL-GCaMP6f) M 104 \n", + "855200229 Ai93(TITL-GCaMP6f) M 110 \n", + "\n", + " imaging_plane_group_count project_code \\\n", + "behavior_session_id \n", + "837658854 VisualBehavior \n", + "838515247 VisualBehavior \n", + "839219841 VisualBehavior \n", + "839565422 VisualBehavior \n", + "839912316 VisualBehavior \n", + "840581827 VisualBehavior \n", + "841426832 VisualBehavior \n", + "841827774 VisualBehavior \n", + "842385277 VisualBehavior \n", + "842819933 VisualBehavior \n", + "843400453 VisualBehavior \n", + "844199758 VisualBehavior \n", + "844908261 VisualBehavior \n", + "845572044 VisualBehavior \n", + "846331423 VisualBehavior \n", + "847036328 VisualBehavior \n", + "847874940 VisualBehavior \n", + "848613406 VisualBehavior \n", + "849147676 VisualBehavior \n", + "849651275 VisualBehavior \n", + "850989832 VisualBehavior \n", + "851773928 VisualBehavior \n", + "852451567 VisualBehavior \n", + "855200229 VisualBehavior \n", + "\n", + " session_type session_number \\\n", + "behavior_session_id \n", + "837658854 TRAINING_0_gratings_autorewards_15min \n", + "838515247 TRAINING_1_gratings \n", + "839219841 TRAINING_1_gratings \n", + "839565422 TRAINING_1_gratings \n", + "839912316 TRAINING_2_gratings_flashed \n", + "840581827 TRAINING_2_gratings_flashed \n", + "841426832 TRAINING_3_images_A_10uL_reward \n", + "841827774 TRAINING_3_images_A_10uL_reward \n", + "842385277 TRAINING_3_images_A_10uL_reward \n", + "842819933 TRAINING_4_images_A_training \n", + "843400453 TRAINING_5_images_A_epilogue \n", + "844199758 TRAINING_5_images_A_handoff_ready \n", + "844908261 TRAINING_5_images_A_handoff_ready \n", + "845572044 TRAINING_5_images_A_handoff_ready \n", + "846331423 OPHYS_0_images_A_habituation 0 \n", + "847036328 OPHYS_0_images_A_habituation 0 \n", + "847874940 OPHYS_0_images_A_habituation 0 \n", + "848613406 OPHYS_1_images_A 1 \n", + "849147676 OPHYS_2_images_A_passive 2 \n", + "849651275 OPHYS_3_images_A 3 \n", + "850989832 OPHYS_4_images_B 4 \n", + "851773928 OPHYS_5_images_B_passive 5 \n", + "852451567 OPHYS_6_images_B 6 \n", + "855200229 OPHYS_5_images_B_passive 5 \n", + "\n", + " image_set behavior_type experience_level \\\n", + "behavior_session_id \n", + "837658854 gratings active_behavior Training \n", + "838515247 gratings active_behavior Training \n", + "839219841 gratings active_behavior Training \n", + "839565422 gratings active_behavior Training \n", + "839912316 gratings active_behavior Training \n", + "840581827 gratings active_behavior Training \n", + "841426832 images_A active_behavior Training \n", + "841827774 images_A active_behavior Training \n", + "842385277 images_A active_behavior Training \n", + "842819933 images_A active_behavior Training \n", + "843400453 images_A active_behavior Training \n", + "844199758 images_A active_behavior Training \n", + "844908261 images_A active_behavior Training \n", + "845572044 images_A active_behavior Training \n", + "846331423 images_A active_behavior Familiar \n", + "847036328 images_A active_behavior Familiar \n", + "847874940 images_A active_behavior Familiar \n", + "848613406 images_A active_behavior Familiar \n", + "849147676 images_A passive_viewing Familiar \n", + "849651275 images_A active_behavior Familiar \n", + "850989832 images_B active_behavior Novel 1 \n", + "851773928 images_B passive_viewing Novel >1 \n", + "852451567 images_B active_behavior Novel >1 \n", + "855200229 images_B passive_viewing Novel >1 \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "831129394 0.0 \n", - "832021447 0.0 \n", - "832544149 1.0 \n", - "833328750 2.0 \n", - "834087859 3.0 \n", - "834903060 0.0 \n", - "835557296 1.0 \n", - "836166694 0.0 \n", - "836761653 1.0 \n", - "837192567 2.0 \n", - "837638916 0.0 \n", - "838496126 0.0 \n", - "839234289 0.0 \n", - "839566045 1.0 \n", - "839939986 2.0 \n", - "840594514 3.0 \n", - "841148118 0.0 \n", - "841707177 1.0 \n", - "842174399 2.0 \n", - "842729895 0.0 \n", - "843203333 0.0 \n", - "844164376 0.0 \n", - "844849972 1.0 \n", - "845441512 0.0 \n", - "846194950 0.0 \n", - "846929750 0.0 \n", - "848503804 1.0 \n", - "853526948 2.0 \n", + "837658854 0 \n", + "838515247 0 \n", + "839219841 1 \n", + "839565422 2 \n", + "839912316 0 \n", + "840581827 1 \n", + "841426832 0 \n", + "841827774 1 \n", + "842385277 2 \n", + "842819933 0 \n", + "843400453 0 \n", + "844199758 0 \n", + "844908261 1 \n", + "845572044 2 \n", + "846331423 0 \n", + "847036328 1 \n", + "847874940 2 \n", + "848613406 0 \n", + "849147676 0 \n", + "849651275 0 \n", + "850989832 0 \n", + "851773928 0 \n", + "852451567 0 \n", + "855200229 1 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "831129394 \n", - "832021447 \n", - "832544149 \n", - "833328750 \n", - "834087859 \n", - "834903060 \n", - "835557296 \n", - "836166694 0 \n", - "836761653 1 \n", - "837192567 2 \n", - "837638916 3 \n", - "838496126 4 \n", - "839234289 5 \n", - "839566045 6 \n", - "839939986 7 \n", - "840594514 8 \n", - "841148118 9 \n", - "841707177 10 \n", - "842174399 11 \n", - "842729895 12 \n", - "843203333 13 \n", - "844164376 14 \n", - "844849972 15 \n", - "845441512 0 \n", - "846194950 1 \n", - "846929750 2 \n", - "848503804 3 \n", - "853526948 16 \n", - "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", + "837658854 \n", + "838515247 \n", + "839219841 \n", + "839565422 \n", + "839912316 \n", + "840581827 \n", + "841426832 0 \n", + "841827774 1 \n", + "842385277 2 \n", + "842819933 3 \n", + "843400453 4 \n", + "844199758 5 \n", + "844908261 6 \n", + "845572044 7 \n", + "846331423 8 \n", + "847036328 9 \n", + "847874940 10 \n", + "848613406 11 \n", + "849147676 12 \n", + "849651275 13 \n", + "850989832 0 \n", + "851773928 1 \n", + "852451567 2 \n", + "855200229 3 \n", + "\n", + " prior_exposures_to_omissions \\\n", + "behavior_session_id \n", + "837658854 0 \n", + "838515247 0 \n", + "839219841 0 \n", + "839565422 0 \n", + "839912316 0 \n", + "840581827 0 \n", + "841426832 0 \n", + "841827774 0 \n", + "842385277 0 \n", + "842819933 0 \n", + "843400453 0 \n", + "844199758 0 \n", + "844908261 0 \n", + "845572044 0 \n", + "846331423 0 \n", + "847036328 0 \n", + "847874940 0 \n", + "848613406 0 \n", + "849147676 1 \n", + "849651275 2 \n", + "850989832 3 \n", + "851773928 4 \n", + "852451567 5 \n", + "855200229 7 \n", + "\n", + " date_of_acquisition equipment_name \\\n", "behavior_session_id \n", - "831129394 0.0 \n", - "832021447 0.0 \n", - "832544149 0.0 \n", - "833328750 0.0 \n", - "834087859 0.0 \n", - "834903060 0.0 \n", - "835557296 0.0 \n", - "836166694 0.0 \n", - "836761653 0.0 \n", - "837192567 0.0 \n", - "837638916 0.0 \n", - "838496126 0.0 \n", - "839234289 0.0 \n", - "839566045 0.0 \n", - "839939986 0.0 \n", - "840594514 0.0 \n", - "841148118 0.0 \n", - "841707177 0.0 \n", - "842174399 0.0 \n", - "842729895 0.0 842583486 \n", - "843203333 1.0 843049997 \n", - "844164376 2.0 \n", - "844849972 3.0 \n", - "845441512 4.0 845219209 \n", - "846194950 5.0 \n", - "846929750 6.0 846599329 \n", - "848503804 7.0 848264175 \n", - "853526948 8.0 \n", - "\n", - " ophys_experiment_id ophys_container_id project_code \\\n", - "behavior_session_id \n", - "831129394 NaN NaN NaN \n", - "832021447 NaN NaN NaN \n", - "832544149 NaN NaN NaN \n", - "833328750 NaN NaN NaN \n", - "834087859 NaN NaN NaN \n", - "834903060 NaN NaN NaN \n", - "835557296 NaN NaN NaN \n", - "836166694 NaN NaN NaN \n", - "836761653 NaN NaN NaN \n", - "837192567 NaN NaN NaN \n", - "837638916 NaN NaN NaN \n", - "838496126 NaN NaN NaN \n", - "839234289 NaN NaN NaN \n", - "839566045 NaN NaN NaN \n", - "839939986 NaN NaN NaN \n", - "840594514 NaN NaN NaN \n", - "841148118 NaN NaN NaN \n", - "841707177 NaN NaN NaN \n", - "842174399 NaN NaN NaN \n", - "842729895 [842973730] [843049827] VisualBehavior \n", - "843203333 [843519218] [843049827] VisualBehavior \n", - "844164376 NaN NaN NaN \n", - "844849972 NaN NaN NaN \n", - "845441512 [848694639] [843049827] VisualBehavior \n", - "846194950 NaN NaN NaN \n", - "846929750 [847125577] [843049827] VisualBehavior \n", - "848503804 [848698709] [843049827] VisualBehavior \n", - "853526948 NaN NaN NaN \n", - "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "831129394 2019-03-01 13:25:23.766000+00:00 \n", - "832021447 2019-03-04 14:21:34.570000+00:00 \n", - "832544149 2019-03-05 13:52:38.642000+00:00 \n", - "833328750 2019-03-06 14:27:39.035000+00:00 \n", - "834087859 2019-03-07 14:01:17.016000+00:00 \n", - "834903060 2019-03-08 14:38:02.472000+00:00 \n", - "835557296 2019-03-11 12:33:20.147000+00:00 \n", - "836166694 2019-03-12 14:54:22.690000+00:00 \n", - "836761653 2019-03-13 12:53:27.462000+00:00 \n", - "837192567 2019-03-14 12:49:43.211000+00:00 \n", - "837638916 2019-03-15 13:29:50.376000+00:00 \n", - "838496126 2019-03-18 13:05:17.767000+00:00 \n", - "839234289 2019-03-19 13:15:41.106000+00:00 \n", - "839566045 2019-03-20 13:07:21.399000+00:00 \n", - "839939986 2019-03-21 13:10:44.301000+00:00 \n", - "840594514 2019-03-22 13:23:58.465000+00:00 \n", - "841148118 2019-03-25 08:22:19.380000+00:00 \n", - "841707177 2019-03-26 08:21:46.265000+00:00 \n", - "842174399 2019-03-27 09:00:04.195000+00:00 \n", - "842729895 2019-03-28 09:17:59.122000+00:00 \n", - "843203333 2019-03-29 08:58:48.934000+00:00 \n", - "844164376 2019-04-01 10:52:03.251000+00:00 \n", - "844849972 2019-04-02 11:36:52.447000+00:00 \n", - "845441512 2019-04-03 10:15:51.376000+00:00 \n", - "846194950 2019-04-04 11:13:54.409000+00:00 \n", - "846929750 2019-04-05 11:07:22.302000+00:00 \n", - "848503804 2019-04-09 11:30:55.092000+00:00 \n", - "853526948 2019-04-18 09:36:48.583000+00:00 \n", - "\n", - " session_type file_id \n", - "behavior_session_id \n", - "831129394 TRAINING_0_gratings_autorewards_15min 1.085362e+09 \n", - "832021447 TRAINING_1_gratings 1.085362e+09 \n", - "832544149 TRAINING_1_gratings 1.085362e+09 \n", - "833328750 TRAINING_1_gratings 1.085362e+09 \n", - "834087859 TRAINING_1_gratings 1.085362e+09 \n", - "834903060 TRAINING_2_gratings_flashed 1.081585e+09 \n", - "835557296 TRAINING_2_gratings_flashed 1.081586e+09 \n", - "836166694 TRAINING_3_images_A_10uL_reward 1.081586e+09 \n", - "836761653 TRAINING_3_images_A_10uL_reward 1.081587e+09 \n", - "837192567 TRAINING_3_images_A_10uL_reward 1.081587e+09 \n", - "837638916 TRAINING_4_images_A_training 1.081587e+09 \n", - "838496126 TRAINING_5_images_A_epilogue 1.081588e+09 \n", - "839234289 TRAINING_5_images_A_handoff_ready 1.081588e+09 \n", - "839566045 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", - "839939986 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", - "840594514 TRAINING_5_images_A_handoff_ready 1.081589e+09 \n", - "841148118 OPHYS_0_images_A_habituation 1.085362e+09 \n", - "841707177 OPHYS_0_images_A_habituation 1.085362e+09 \n", - "842174399 OPHYS_0_images_A_habituation 1.085362e+09 \n", - "842729895 OPHYS_1_images_A NaN \n", - "843203333 OPHYS_2_images_A_passive NaN \n", - "844164376 OPHYS_3_images_A 1.081592e+09 \n", - "844849972 OPHYS_3_images_A 1.081592e+09 \n", - "845441512 OPHYS_4_images_B NaN \n", - "846194950 OPHYS_5_images_B_passive 1.081593e+09 \n", - "846929750 OPHYS_6_images_B NaN \n", - "848503804 OPHYS_5_images_B_passive NaN \n", - "853526948 OPHYS_3_images_A 1.081598e+09 " + "837658854 2019-03-15 14:49:24.015000+00:00 BEH.B-Box3 \n", + "838515247 2019-03-18 13:44:01.474000+00:00 BEH.B-Box1 \n", + "839219841 2019-03-19 12:50:12.068000+00:00 BEH.B-Box1 \n", + "839565422 2019-03-20 13:16:44.461000+00:00 BEH.B-Box1 \n", + "839912316 2019-03-21 12:54:25.388000+00:00 BEH.B-Box1 \n", + "840581827 2019-03-22 12:56:37.162000+00:00 BEH.B-Box1 \n", + "841426832 2019-03-25 13:33:53.275000+00:00 BEH.B-Box1 \n", + "841827774 2019-03-26 12:43:01.470000+00:00 BEH.B-Box1 \n", + "842385277 2019-03-27 12:13:04.923000+00:00 BEH.B-Box1 \n", + "842819933 2019-03-28 12:11:36.413000+00:00 BEH.B-Box1 \n", + "843400453 2019-03-29 13:03:16.029000+00:00 BEH.B-Box1 \n", + "844199758 2019-04-01 11:59:06.026000+00:00 BEH.B-Box1 \n", + "844908261 2019-04-02 12:34:16.170000+00:00 BEH.B-Box1 \n", + "845572044 2019-04-03 12:16:13.522000+00:00 BEH.B-Box1 \n", + "846331423 2019-04-04 13:13:13.399000+00:00 CAM2P.3 \n", + "847036328 2019-04-05 12:47:32.422000+00:00 CAM2P.3 \n", + "847874940 2019-04-08 13:27:21.095000+00:00 CAM2P.3 \n", + "848613406 2019-04-09 13:26:26.372000+00:00 CAM2P.3 \n", + "849147676 2019-04-10 13:34:39.264000+00:00 CAM2P.3 \n", + "849651275 2019-04-11 12:31:50.074000+00:00 CAM2P.3 \n", + "850989832 2019-04-12 13:30:27.946000+00:00 CAM2P.3 \n", + "851773928 2019-04-15 12:20:00.123000+00:00 CAM2P.3 \n", + "852451567 2019-04-16 12:24:46.804000+00:00 CAM2P.3 \n", + "855200229 2019-04-22 09:01:33.022000+00:00 CAM2P.3 \n", + "\n", + " num_depths_per_area ophys_experiment_id \\\n", + "behavior_session_id \n", + "837658854 NaN \n", + "838515247 NaN \n", + "839219841 NaN \n", + "839565422 NaN \n", + "839912316 NaN \n", + "840581827 NaN \n", + "841426832 NaN \n", + "841827774 NaN \n", + "842385277 NaN \n", + "842819933 NaN \n", + "843400453 NaN \n", + "844199758 NaN \n", + "844908261 NaN \n", + "845572044 NaN \n", + "846331423 NaN \n", + "847036328 NaN \n", + "847874940 NaN \n", + "848613406 1 [848697625] \n", + "849147676 1 [849203565] \n", + "849651275 1 [850479305] \n", + "850989832 1 [851060467] \n", + "851773928 NaN \n", + "852451567 1 [852691524] \n", + "855200229 1 [855582961] \n", + "\n", + " num_targeted_structures go_trial_count \\\n", + "behavior_session_id \n", + "837658854 0 \n", + "838515247 133 \n", + "839219841 335 \n", + "839565422 269 \n", + "839912316 174 \n", + "840581827 178 \n", + "841426832 132 \n", + "841827774 237 \n", + "842385277 246 \n", + "842819933 171 \n", + "843400453 242 \n", + "844199758 242 \n", + "844908261 214 \n", + "845572044 285 \n", + "846331423 261 \n", + "847036328 273 \n", + "847874940 282 \n", + "848613406 1 228 \n", + "849147676 1 352 \n", + "849651275 1 200 \n", + "850989832 1 231 \n", + "851773928 356 \n", + "852451567 1 201 \n", + "855200229 1 355 \n", + "\n", + " false_alarm_trial_count catch_trial_count \\\n", + "behavior_session_id \n", + "837658854 0 0 \n", + "838515247 6 13 \n", + "839219841 1 61 \n", + "839565422 4 41 \n", + "839912316 6 20 \n", + "840581827 5 23 \n", + "841426832 3 17 \n", + "841827774 3 34 \n", + "842385277 5 37 \n", + "842819933 7 25 \n", + "843400453 5 36 \n", + "844199758 4 34 \n", + "844908261 6 31 \n", + "845572044 4 41 \n", + "846331423 3 38 \n", + "847036328 5 39 \n", + "847874940 4 40 \n", + "848613406 6 35 \n", + "849147676 0 50 \n", + "849651275 2 28 \n", + "850989832 7 34 \n", + "851773928 0 51 \n", + "852451567 7 30 \n", + "855200229 0 51 \n", + "\n", + " engaged_trial_count trial_count hit_trial_count \\\n", + "behavior_session_id \n", + "837658854 101 118 0 \n", + "838515247 341 1405 106 \n", + "839219841 47 451 48 \n", + "839565422 386 683 107 \n", + "839912316 583 966 103 \n", + "840581827 256 799 76 \n", + "841426832 251 837 94 \n", + "841827774 312 599 82 \n", + "842385277 353 580 96 \n", + "842819933 331 849 112 \n", + "843400453 414 653 134 \n", + "844199758 184 610 101 \n", + "844908261 378 693 109 \n", + "845572044 286 516 112 \n", + "846331423 363 566 135 \n", + "847036328 363 543 127 \n", + "847874940 386 553 151 \n", + "848613406 534 632 144 \n", + "849147676 0 402 0 \n", + "849651275 426 699 117 \n", + "850989832 550 664 154 \n", + "851773928 0 407 0 \n", + "852451567 649 731 161 \n", + "855200229 0 406 0 \n", + "\n", + " miss_trial_count correct_reject_trial_count file_id \n", + "behavior_session_id \n", + "837658854 0 0 5235 \n", + "838515247 27 7 5236 \n", + "839219841 287 60 5237 \n", + "839565422 162 37 5238 \n", + "839912316 71 14 5239 \n", + "840581827 102 18 5240 \n", + "841426832 38 14 5241 \n", + "841827774 155 31 5242 \n", + "842385277 150 32 5243 \n", + "842819933 59 18 5244 \n", + "843400453 108 31 5245 \n", + "844199758 141 30 5246 \n", + "844908261 105 25 5247 \n", + "845572044 173 37 5248 \n", + "846331423 126 35 5249 \n", + "847036328 146 34 5250 \n", + "847874940 131 36 5251 \n", + "848613406 84 29 -999 \n", + "849147676 352 50 -999 \n", + "849651275 83 26 -999 \n", + "850989832 77 27 -999 \n", + "851773928 356 51 5252 \n", + "852451567 40 23 -999 \n", + "855200229 355 51 -999 " ] }, "execution_count": 11, @@ -2247,10 +2888,10 @@ "id": "74a8a58a", "metadata": { "papermill": { - "duration": 0.024123, - "end_time": "2023-09-27T20:34:13.311746", + "duration": 0.012795, + "end_time": "2023-11-06T21:13:18.885396", "exception": false, - "start_time": "2023-09-27T20:34:13.287623", + "start_time": "2023-11-06T21:13:18.872601", "status": "completed" }, "tags": [] @@ -2270,16 +2911,16 @@ "id": "c0fbbfa9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:34:13.363710Z", - "iopub.status.busy": "2023-09-27T20:34:13.362525Z", - "iopub.status.idle": "2023-09-27T20:44:29.221923Z", - "shell.execute_reply": "2023-09-27T20:44:29.219413Z" + "iopub.execute_input": "2023-11-06T21:13:18.912457Z", + "iopub.status.busy": "2023-11-06T21:13:18.911867Z", + "iopub.status.idle": "2023-11-06T21:21:51.995386Z", + "shell.execute_reply": "2023-11-06T21:21:51.994673Z" }, "papermill": { - "duration": 615.88922, - "end_time": "2023-09-27T20:44:29.226756", + "duration": 513.098865, + "end_time": "2023-11-06T21:21:51.997087", "exception": false, - "start_time": "2023-09-27T20:34:13.337536", + "start_time": "2023-11-06T21:13:18.898222", "status": "completed" }, "tags": [] @@ -2289,146 +2930,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_session_831129394.nwb: 100%|██████████| 51.7M/51.7M [00:03<00:00, 15.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_832021447.nwb: 100%|██████████| 66.9M/66.9M [00:04<00:00, 15.5MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_832544149.nwb: 100%|██████████| 66.9M/66.9M [00:03<00:00, 16.7MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_833328750.nwb: 100%|██████████| 66.8M/66.8M [00:03<00:00, 18.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_834087859.nwb: 100%|██████████| 66.7M/66.7M [00:04<00:00, 15.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_834903060.nwb: 100%|██████████| 67.9M/67.9M [00:04<00:00, 15.6MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_835557296.nwb: 100%|██████████| 68.0M/68.0M [00:04<00:00, 13.7MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_836166694.nwb: 100%|██████████| 188M/188M [00:11<00:00, 16.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_836761653.nwb: 100%|██████████| 188M/188M [00:11<00:00, 16.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_837192567.nwb: 100%|██████████| 188M/188M [00:10<00:00, 17.7MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_837638916.nwb: 100%|██████████| 188M/188M [00:10<00:00, 17.5MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_838496126.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.2MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839234289.nwb: 100%|██████████| 193M/193M [00:09<00:00, 19.4MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839566045.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.2MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_839939986.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_840594514.nwb: 100%|██████████| 193M/193M [00:10<00:00, 18.9MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_841148118.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_841707177.nwb: 100%|██████████| 193M/193M [00:10<00:00, 19.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_842174399.nwb: 100%|██████████| 193M/193M [00:10<00:00, 17.7MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_842973730.nwb: 100%|██████████| 864M/864M [00:54<00:00, 15.8MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_843519218.nwb: 100%|██████████| 829M/829M [00:44<00:00, 18.6MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_844164376.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_844849972.nwb: 100%|██████████| 193M/193M [00:11<00:00, 16.8MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_848694639.nwb: 100%|██████████| 428M/428M [00:24<00:00, 17.7MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_846194950.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.2MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_847125577.nwb: 100%|██████████| 924M/924M [01:00<00:00, 15.1MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_848698709.nwb: 100%|██████████| 1.33G/1.33G [01:16<00:00, 17.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_session_853526948.nwb: 100%|██████████| 193M/193M [00:11<00:00, 17.4MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_session_837658854.nwb: 100%|██████████| 51.7M/51.7M [00:02<00:00, 18.7MMB/s]\n", + "behavior_session_838515247.nwb: 100%|██████████| 66.9M/66.9M [00:03<00:00, 18.4MMB/s]\n", + "behavior_session_839219841.nwb: 100%|██████████| 66.7M/66.7M [00:04<00:00, 15.5MMB/s]\n", + "behavior_session_839565422.nwb: 100%|██████████| 66.7M/66.7M [00:03<00:00, 18.6MMB/s]\n", + "behavior_session_839912316.nwb: 100%|██████████| 68.6M/68.6M [00:03<00:00, 18.2MMB/s]\n", + "behavior_session_840581827.nwb: 100%|██████████| 68.5M/68.5M [00:04<00:00, 16.6MMB/s]\n", + "behavior_session_841426832.nwb: 100%|██████████| 189M/189M [00:09<00:00, 19.6MMB/s]\n", + "behavior_session_841827774.nwb: 100%|██████████| 189M/189M [00:10<00:00, 17.8MMB/s]\n", + "behavior_session_842385277.nwb: 100%|██████████| 189M/189M [00:10<00:00, 18.8MMB/s]\n", + "behavior_session_842819933.nwb: 100%|██████████| 189M/189M [00:10<00:00, 17.4MMB/s]\n", + "behavior_session_843400453.nwb: 100%|██████████| 196M/196M [00:09<00:00, 19.8MMB/s]\n", + "behavior_session_844199758.nwb: 100%|██████████| 196M/196M [00:10<00:00, 18.5MMB/s]\n", + "behavior_session_844908261.nwb: 100%|██████████| 196M/196M [00:10<00:00, 18.3MMB/s]\n", + "behavior_session_845572044.nwb: 100%|██████████| 196M/196M [00:10<00:00, 18.9MMB/s]\n", + "behavior_session_846331423.nwb: 100%|██████████| 196M/196M [00:10<00:00, 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"end_time": "2023-09-27T20:44:29.711434", + "duration": 0.10064, + "end_time": "2023-11-06T21:21:52.198572", "exception": false, - "start_time": "2023-09-27T20:44:29.427110", + "start_time": "2023-11-06T21:21:52.097932", "status": "completed" }, "tags": [] @@ -2463,16 +2988,16 @@ "id": "2c457e12", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:30.088499Z", - "iopub.status.busy": "2023-09-27T20:44:30.087439Z", - "iopub.status.idle": "2023-09-27T20:44:30.103744Z", - "shell.execute_reply": "2023-09-27T20:44:30.102770Z" + "iopub.execute_input": "2023-11-06T21:21:52.409383Z", + "iopub.status.busy": "2023-11-06T21:21:52.408803Z", + "iopub.status.idle": "2023-11-06T21:21:52.413991Z", + "shell.execute_reply": "2023-11-06T21:21:52.413325Z" }, "papermill": { - "duration": 0.20788, - "end_time": "2023-09-27T20:44:30.107382", + "duration": 0.113919, + "end_time": "2023-11-06T21:21:52.415494", "exception": false, - "start_time": "2023-09-27T20:44:29.899502", + "start_time": "2023-11-06T21:21:52.301575", "status": "completed" }, "scrolled": true, @@ -2515,10 +3040,10 @@ "id": "0f7a6887", "metadata": { "papermill": { - "duration": 0.191491, - "end_time": "2023-09-27T20:44:30.494696", + "duration": 0.14926, + "end_time": "2023-11-06T21:21:52.667439", "exception": false, - "start_time": "2023-09-27T20:44:30.303205", + "start_time": "2023-11-06T21:21:52.518179", "status": "completed" }, "tags": [] @@ -2533,16 +3058,16 @@ "id": "17525cab", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:30.873604Z", - "iopub.status.busy": "2023-09-27T20:44:30.873008Z", - "iopub.status.idle": "2023-09-27T20:44:30.884698Z", - "shell.execute_reply": "2023-09-27T20:44:30.883419Z" + "iopub.execute_input": "2023-11-06T21:21:52.873024Z", + "iopub.status.busy": "2023-11-06T21:21:52.872515Z", + "iopub.status.idle": "2023-11-06T21:21:52.876762Z", + "shell.execute_reply": "2023-11-06T21:21:52.876085Z" }, "papermill": { - "duration": 0.203865, - "end_time": "2023-09-27T20:44:30.887561", + "duration": 0.108858, + "end_time": "2023-11-06T21:21:52.878195", "exception": false, - "start_time": "2023-09-27T20:44:30.683696", + "start_time": "2023-11-06T21:21:52.769337", "status": "completed" }, "tags": [] @@ -2558,10 +3083,10 @@ "id": "e90defcb", "metadata": { "papermill": { - "duration": 0.198956, - "end_time": "2023-09-27T20:44:31.271955", + "duration": 0.100755, + "end_time": "2023-11-06T21:21:53.081906", "exception": false, - "start_time": "2023-09-27T20:44:31.072999", + "start_time": "2023-11-06T21:21:52.981151", "status": "completed" }, "tags": [] @@ -2577,16 +3102,16 @@ "id": "5083aad7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:31.646432Z", - "iopub.status.busy": "2023-09-27T20:44:31.645241Z", - "iopub.status.idle": "2023-09-27T20:44:31.656065Z", - "shell.execute_reply": "2023-09-27T20:44:31.655038Z" + "iopub.execute_input": "2023-11-06T21:21:53.286382Z", + "iopub.status.busy": "2023-11-06T21:21:53.285851Z", + "iopub.status.idle": "2023-11-06T21:21:53.292973Z", + "shell.execute_reply": "2023-11-06T21:21:53.292195Z" }, "papermill": { - "duration": 0.20121, - "end_time": "2023-09-27T20:44:31.658405", + "duration": 0.111086, + "end_time": "2023-11-06T21:21:53.294673", "exception": false, - "start_time": "2023-09-27T20:44:31.457195", + "start_time": "2023-11-06T21:21:53.183587", "status": "completed" }, "tags": [] @@ -2597,16 +3122,16 @@ "text/plain": [ "{'auto_reward_volume': 0.005,\n", " 'blank_duration_sec': [0.5, 0.5],\n", - " 'image_set': 'images_A',\n", - " 'n_stimulus_frames': 69674,\n", + " 'image_set': 'images_B',\n", + " 'n_stimulus_frames': 69255,\n", " 'omitted_flash_fraction': 0.05,\n", " 'response_window_sec': [0.15, 0.75],\n", " 'reward_volume': 0.007,\n", - " 'session_type': 'OPHYS_3_images_A',\n", + " 'session_type': 'OPHYS_5_images_B_passive',\n", " 'stimulus': 'images',\n", " 'stimulus_distribution': 'geometric',\n", " 'stimulus_duration_sec': 0.25,\n", - " 'stimulus_name': None,\n", + " 'stimulus_name': 'Natural_Images_Lum_Matched_set_ophys_6_2017',\n", " 'task': 'change detection'}" ] }, @@ -2624,10 +3149,10 @@ "id": "b7186587", "metadata": { "papermill": { - "duration": 0.181449, - "end_time": "2023-09-27T20:44:32.029203", + "duration": 0.100893, + "end_time": "2023-11-06T21:21:53.499550", "exception": false, - "start_time": "2023-09-27T20:44:31.847754", + "start_time": "2023-11-06T21:21:53.398657", "status": "completed" }, "tags": [] @@ -2643,16 +3168,16 @@ "id": "0d49dd24", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:32.463329Z", - "iopub.status.busy": "2023-09-27T20:44:32.462082Z", - "iopub.status.idle": "2023-09-27T20:44:32.488560Z", - "shell.execute_reply": "2023-09-27T20:44:32.487413Z" + "iopub.execute_input": "2023-11-06T21:21:53.703870Z", + "iopub.status.busy": "2023-11-06T21:21:53.703251Z", + "iopub.status.idle": "2023-11-06T21:21:53.711028Z", + "shell.execute_reply": "2023-11-06T21:21:53.710296Z" }, "papermill": { - "duration": 0.217747, - "end_time": "2023-09-27T20:44:32.490957", + "duration": 0.111767, + "end_time": "2023-11-06T21:21:53.712483", "exception": false, - "start_time": "2023-09-27T20:44:32.273210", + "start_time": "2023-11-06T21:21:53.600716", "status": "completed" }, "tags": [] @@ -2670,10 +3195,10 @@ "id": "820d6b7e", "metadata": { "papermill": { - "duration": 0.197199, - "end_time": "2023-09-27T20:44:32.872588", + "duration": 0.102202, + "end_time": "2023-11-06T21:21:53.915344", "exception": false, - "start_time": "2023-09-27T20:44:32.675389", + "start_time": "2023-11-06T21:21:53.813142", "status": "completed" }, "tags": [] @@ -2689,16 +3214,16 @@ "id": "a0e09d3d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:33.249816Z", - "iopub.status.busy": "2023-09-27T20:44:33.249373Z", - "iopub.status.idle": "2023-09-27T20:44:33.292410Z", - "shell.execute_reply": "2023-09-27T20:44:33.291251Z" + "iopub.execute_input": "2023-11-06T21:21:54.120869Z", + "iopub.status.busy": "2023-11-06T21:21:54.120416Z", + "iopub.status.idle": "2023-11-06T21:21:54.136029Z", + "shell.execute_reply": "2023-11-06T21:21:54.135325Z" }, "papermill": { - "duration": 0.241636, - "end_time": "2023-09-27T20:44:33.294570", + "duration": 0.119086, + "end_time": "2023-11-06T21:21:54.137546", "exception": false, - "start_time": "2023-09-27T20:44:33.052934", + "start_time": "2023-11-06T21:21:54.018460", "status": "completed" }, "tags": [] @@ -2725,18 +3250,25 @@ " \n", " \n", " \n", + " stimulus_block\n", + " stimulus_block_name\n", " image_index\n", " image_name\n", + " movie_frame_index\n", " duration\n", " start_time\n", " end_time\n", " start_frame\n", " end_frame\n", " is_change\n", + " is_image_novel\n", " omitted\n", + " movie_repeat\n", " flashes_since_change\n", " trials_id\n", " active\n", + " stimulus_name\n", + " is_sham_change\n", " \n", " \n", " stimulus_presentations_id\n", @@ -2752,112 +3284,194 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " 0\n", " 0\n", - " im065\n", - " 0.250124\n", - " 299.950758\n", - " 300.200882\n", - " 17985.0\n", - " 18000.0\n", - " False\n", + " initial_gray_screen_5min\n", + " -99\n", + " NaN\n", + " -99\n", + " 300.005657\n", + " 0.000000\n", + " 300.005657\n", + " 0\n", + " 17984\n", " False\n", + " <NA>\n", + " <NA>\n", + " -99\n", " 0\n", " -99\n", - " True\n", + " False\n", + " spontaneous\n", + " False\n", " \n", " \n", " 1\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im065\n", - " 0.250210\n", - " 300.701224\n", - " 300.951433\n", - " 18030.0\n", - " 18045.0\n", + " -99\n", + " 0.250203\n", + " 300.005657\n", + " 300.255860\n", + " 17984\n", + " 17999\n", + " False\n", " False\n", " False\n", - " 1\n", " -99\n", + " 1\n", + " 0\n", " True\n", + " Natural_Images_Lum_Matched_set_training_2017\n", + " False\n", " \n", " \n", " 2\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im065\n", - " 0.250219\n", - " 301.451832\n", - " 301.702052\n", - " 18075.0\n", - " 18090.0\n", + " -99\n", + " 0.250197\n", + " 300.756290\n", + " 301.006487\n", + " 18029\n", + " 18044\n", + " False\n", " False\n", " False\n", - " 2\n", " -99\n", + " 2\n", + " 0\n", " True\n", + " Natural_Images_Lum_Matched_set_training_2017\n", + " False\n", " \n", " \n", " 3\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im065\n", - " 0.250164\n", - " 302.202335\n", - " 302.452499\n", - " 18120.0\n", - " 18135.0\n", + " -99\n", + " 0.250212\n", + " 301.506923\n", + " 301.757135\n", + " 18074\n", + " 18089\n", + " False\n", " False\n", " False\n", - " 3\n", " -99\n", + " 3\n", + " 0\n", " True\n", + " Natural_Images_Lum_Matched_set_training_2017\n", + " False\n", " \n", " \n", " 4\n", + " 1\n", + " change_detection_behavior\n", " 0\n", " im065\n", - " 0.250199\n", - " 302.952841\n", - " 303.203040\n", - " 18165.0\n", - " 18180.0\n", + " -99\n", + " 0.250201\n", + " 302.274231\n", + " 302.524432\n", + " 18120\n", + " 18135\n", + " False\n", " False\n", " False\n", - " 4\n", " -99\n", + " 4\n", + " 1\n", " True\n", + " Natural_Images_Lum_Matched_set_training_2017\n", + " False\n", " \n", " \n", "\n", "" ], "text/plain": [ - " image_index image_name duration start_time \\\n", - "stimulus_presentations_id \n", - "0 0 im065 0.250124 299.950758 \n", - "1 0 im065 0.250210 300.701224 \n", - "2 0 im065 0.250219 301.451832 \n", - "3 0 im065 0.250164 302.202335 \n", - "4 0 im065 0.250199 302.952841 \n", + " stimulus_block stimulus_block_name \\\n", + "stimulus_presentations_id \n", + "0 0 initial_gray_screen_5min \n", + "1 1 change_detection_behavior \n", + "2 1 change_detection_behavior \n", + "3 1 change_detection_behavior \n", + "4 1 change_detection_behavior \n", + "\n", + " image_index image_name movie_frame_index \\\n", + "stimulus_presentations_id \n", + "0 -99 NaN -99 \n", + "1 0 im065 -99 \n", + "2 0 im065 -99 \n", + "3 0 im065 -99 \n", + "4 0 im065 -99 \n", + "\n", + " duration start_time end_time start_frame \\\n", + "stimulus_presentations_id \n", + "0 300.005657 0.000000 300.005657 0 \n", + "1 0.250203 300.005657 300.255860 17984 \n", + "2 0.250197 300.756290 301.006487 18029 \n", + "3 0.250212 301.506923 301.757135 18074 \n", + "4 0.250201 302.274231 302.524432 18120 \n", "\n", - " end_time start_frame end_frame is_change \\\n", + " end_frame is_change is_image_novel omitted \\\n", "stimulus_presentations_id \n", - "0 300.200882 17985.0 18000.0 False \n", - "1 300.951433 18030.0 18045.0 False \n", - "2 301.702052 18075.0 18090.0 False \n", - "3 302.452499 18120.0 18135.0 False \n", - "4 303.203040 18165.0 18180.0 False \n", + "0 17984 False \n", + "1 17999 False False False \n", + "2 18044 False False False \n", + "3 18089 False False False \n", + "4 18135 False False False \n", "\n", - " omitted flashes_since_change trials_id active \n", - "stimulus_presentations_id \n", - "0 False 0 -99 True \n", - "1 False 1 -99 True \n", - "2 False 2 -99 True \n", - "3 False 3 -99 True \n", - "4 False 4 -99 True " + " movie_repeat flashes_since_change trials_id \\\n", + "stimulus_presentations_id \n", + "0 -99 0 -99 \n", + "1 -99 1 0 \n", + "2 -99 2 0 \n", + "3 -99 3 0 \n", + "4 -99 4 1 \n", + "\n", + " active \\\n", + "stimulus_presentations_id \n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " stimulus_name \\\n", + "stimulus_presentations_id \n", + "0 spontaneous \n", + "1 Natural_Images_Lum_Matched_set_training_2017 \n", + "2 Natural_Images_Lum_Matched_set_training_2017 \n", + "3 Natural_Images_Lum_Matched_set_training_2017 \n", + "4 Natural_Images_Lum_Matched_set_training_2017 \n", + "\n", + " is_sham_change \n", + "stimulus_presentations_id \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False " ] }, "execution_count": 17, @@ -2874,10 +3488,10 @@ "id": "fbe586f5", "metadata": { "papermill": { - "duration": 0.185872, - "end_time": "2023-09-27T20:44:33.666781", + "duration": 0.108354, + 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13.908257" + " timestamps speed\n", + "0 0.000000 0.010719\n", + "1 0.016554 -0.034077\n", + "2 0.033231 -0.079193\n", + "3 0.049912 -0.121338\n", + "4 0.067623 -0.156735" ] }, "execution_count": 20, @@ -3216,10 +3830,10 @@ "id": "99fbd519", "metadata": { "papermill": { - "duration": 0.203641, - "end_time": "2023-09-27T20:44:36.121645", + "duration": 0.102807, + "end_time": "2023-11-06T21:21:55.659782", "exception": false, - "start_time": "2023-09-27T20:44:35.918004", + "start_time": "2023-11-06T21:21:55.556975", "status": "completed" }, "tags": [] @@ -3233,10 +3847,10 @@ "id": "1451597b", "metadata": { "papermill": { - "duration": 0.196497, - "end_time": "2023-09-27T20:44:36.508599", + "duration": 0.101912, + "end_time": "2023-11-06T21:21:55.864430", "exception": false, - "start_time": "2023-09-27T20:44:36.312102", + "start_time": "2023-11-06T21:21:55.762518", "status": "completed" }, "tags": [] @@ -3251,16 +3865,16 @@ "id": "91138ca3", "metadata": { "execution": { - 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"2023-09-27T20:44:38.338671", + "start_time": "2023-11-06T21:21:56.862707", "status": "completed" }, "scrolled": false, @@ -4405,7 +5019,7 @@ { "data": { "text/html": [ - "
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" 4.519670\n", " NaN\n", - " -99\n", + " False\n", + " False\n", + " [3275.3795675365254]\n", " NaN\n", " NaN\n", - " im085\n", - " im085\n", - " \n", - " \n", - " 300\n", - " 1692.603576\n", - " 1697.306700\n", - " [1696.7063142962288, 1696.839713890804, 1696.9...\n", " NaN\n", " 0.000\n", " False\n", @@ -5617,117 +6239,109 @@ " False\n", " True\n", " False\n", - " False\n", - " False\n", - " False\n", - " 4.703124\n", - " NaN\n", " -99\n", - " NaN\n", - " NaN\n", - " im061\n", - " im061\n", + " 0.433709\n", " \n", " \n", - " 456\n", - " 2525.596764\n", - " 2528.999056\n", - " [2528.382007678156, 2528.515403671656, 2528.68...\n", - " NaN\n", - " 0.000\n", - " False\n", - " False\n", - " False\n", + " 153\n", + " 1246.511704\n", + " 1253.784525\n", + " im077\n", + " im062\n", + " True\n", + " 1249.518735\n", + " True\n", " False\n", + " [1249.9479218395427, 1250.0646784896962, 1250....\n", + " 1249.947922\n", + " 0.429187\n", + " 1249.947922\n", + " 0.007\n", " True\n", " False\n", " False\n", " False\n", " False\n", - " 3.402292\n", - " NaN\n", - " -99\n", - " NaN\n", - " NaN\n", - " im069\n", - " im069\n", + " False\n", + " 74907\n", + " 7.272821\n", " \n", " \n", - " 633\n", - " 3294.963916\n", - " 3299.516976\n", - " [3299.0833537629806, 3299.2000716907205]\n", + " 502\n", + " 3784.139528\n", + " 3791.445645\n", + " im063\n", + " im077\n", + " True\n", + " 3787.179880\n", + " True\n", + " False\n", + " []\n", + " NaN\n", + " inf\n", " NaN\n", " 0.000\n", " False\n", " False\n", - " False\n", - " False\n", " True\n", " False\n", " False\n", - " False\n", - " False\n", - " 4.553060\n", - " NaN\n", - " -99\n", - " NaN\n", - " NaN\n", - " im069\n", - " im069\n", + " False\n", + " 227038\n", + " 7.306117\n", " \n", " \n", "\n", "" ], "text/plain": [ - " start_time stop_time \\\n", - "trials_id \n", - "703 3663.828513 3671.100031 \n", - "33 437.443264 441.962934 \n", - "300 1692.603576 1697.306700 \n", - "456 2525.596764 2528.999056 \n", - "633 3294.963916 3299.516976 \n", - "\n", - " lick_times reward_time \\\n", - "trials_id \n", - "703 [3667.1974456162425, 3667.480975226499, 3667.6... 3667.197446 \n", - "33 [441.6460868859431] NaN \n", - "300 [1696.7063142962288, 1696.839713890804, 1696.9... NaN \n", - "456 [2528.382007678156, 2528.515403671656, 2528.68... NaN \n", - "633 [3299.0833537629806, 3299.2000716907205] NaN \n", - "\n", - " reward_volume hit false_alarm miss is_change aborted \\\n", - "trials_id \n", - "703 0.007 True False False True False \n", - "33 0.000 False False False False True \n", - "300 0.000 False False False False True \n", - "456 0.000 False False False False True \n", - "633 0.000 False False False False True \n", - "\n", - " go catch auto_rewarded correct_reject trial_length \\\n", - "trials_id \n", - "703 True False False False 7.271518 \n", - "33 False False False False 4.519670 \n", - "300 False False False False 4.703124 \n", - "456 False False False False 3.402292 \n", - "633 False False False False 4.553060 \n", - "\n", - " response_time change_frame change_time response_latency \\\n", - "trials_id \n", - "703 3667.197446 219862 3666.851646 0.3458 \n", - "33 NaN -99 NaN NaN \n", - "300 NaN -99 NaN NaN \n", - "456 NaN -99 NaN NaN \n", - "633 NaN -99 NaN NaN \n", - "\n", - " initial_image_name change_image_name \n", - "trials_id \n", - "703 im085 im066 \n", - "33 im085 im085 \n", - "300 im061 im061 \n", - "456 im069 im069 \n", - "633 im069 im069 " + " start_time stop_time initial_image_name change_image_name \\\n", + "trials_id \n", + "304 2122.312731 2132.621387 im066 im061 \n", + "500 3766.808308 3774.865067 im069 im085 \n", + "441 3275.262806 3275.696514 im085 im085 \n", + "153 1246.511704 1253.784525 im077 im062 \n", + "502 3784.139528 3791.445645 im063 im077 \n", + "\n", + " is_change change_time go catch \\\n", + "trials_id \n", + "304 True 2128.355604 True False \n", + "500 True 3770.615985 True False \n", + "441 False NaN False False \n", + "153 True 1249.518735 True False \n", + "502 True 3787.179880 True False \n", + "\n", + " lick_times response_time \\\n", + "trials_id \n", + "304 [] NaN \n", + "500 [] NaN \n", + "441 [3275.3795675365254] NaN \n", + "153 [1249.9479218395427, 1250.0646784896962, 1250.... 1249.947922 \n", + "502 [] NaN \n", + "\n", + " response_latency reward_time reward_volume hit false_alarm \\\n", + "trials_id \n", + "304 inf NaN 0.000 False False \n", + "500 inf NaN 0.000 False False \n", + "441 NaN NaN 0.000 False False \n", + "153 0.429187 1249.947922 0.007 True False \n", + "502 inf NaN 0.000 False False \n", + "\n", + " miss correct_reject aborted auto_rewarded change_frame \\\n", + "trials_id \n", + "304 True False False False 127593 \n", + "500 True False False False 226045 \n", + "441 False False True False -99 \n", + "153 False False False False 74907 \n", + "502 True False False False 227038 \n", + "\n", + " trial_length \n", + "trials_id \n", + "304 10.308655 \n", + "500 8.056759 \n", + "441 0.433709 \n", + "153 7.272821 \n", + "502 7.306117 " ] }, "execution_count": 24, @@ -5744,10 +6358,10 @@ "id": "16905cd9", "metadata": { "papermill": { - "duration": 0.189255, - "end_time": "2023-09-27T20:44:40.261616", + "duration": 0.104346, + "end_time": "2023-11-06T21:21:57.973343", "exception": false, - "start_time": "2023-09-27T20:44:40.072361", + "start_time": "2023-11-06T21:21:57.868997", "status": "completed" }, "tags": [] @@ -5768,16 +6382,16 @@ "id": "caa527ef", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:40.656511Z", - "iopub.status.busy": "2023-09-27T20:44:40.655680Z", - "iopub.status.idle": "2023-09-27T20:44:40.677090Z", - "shell.execute_reply": "2023-09-27T20:44:40.676101Z" + "iopub.execute_input": "2023-11-06T21:21:58.182130Z", + "iopub.status.busy": "2023-11-06T21:21:58.181843Z", + "iopub.status.idle": "2023-11-06T21:21:58.192899Z", + "shell.execute_reply": "2023-11-06T21:21:58.192111Z" }, "papermill": { - "duration": 0.225463, - "end_time": "2023-09-27T20:44:40.679859", + "duration": 0.11785, + "end_time": "2023-11-06T21:21:58.194398", "exception": false, - "start_time": "2023-09-27T20:44:40.454396", + "start_time": "2023-11-06T21:21:58.076548", "status": "completed" }, "tags": [] @@ -5786,29 +6400,30 @@ { "data": { "text/plain": [ - "[{'start_time': 1712.116697982885,\n", - " 'stop_time': 1720.1720967957517,\n", - " 'lick_times': array([1716.53632556, 1716.61971894, 1716.86988826, 1716.98660287,\n", - " 1717.10337204, 1717.23680377, 1717.37018203, 1717.47025015,\n", - " 1717.6036877 , 1717.73710363, 1718.02067646, 1718.17075606]),\n", - " 'reward_time': 1716.5363255622797,\n", + "[{'start_time': 831.2635398912244,\n", + " 'stop_time': 838.5529783256352,\n", + " 'initial_image_name': 'im063',\n", + " 'change_image_name': 'im069',\n", + " 'is_change': True,\n", + " 'change_time': 834.287206646593,\n", + " 'go': True,\n", + " 'catch': False,\n", + " 'lick_times': array([834.69975263, 834.81651755, 835.1001309 , 835.25021287,\n", + " 835.40033855, 835.53378616, 835.68391515, 835.83403254,\n", + " 836.01752922, 836.16765357, 836.33444306, 836.51795332,\n", + " 836.6513857 ]),\n", + " 'response_time': 834.6997526283376,\n", + " 'response_latency': 0.41254598174464263,\n", + " 'reward_time': 834.6997526283376,\n", " 'reward_volume': 0.007,\n", " 'hit': True,\n", " 'false_alarm': False,\n", " 'miss': False,\n", - " 'is_change': True,\n", + " 'correct_reject': False,\n", " 'aborted': False,\n", - " 'go': True,\n", - " 'catch': False,\n", " 'auto_rewarded': False,\n", - " 'correct_reject': False,\n", - " 'trial_length': 8.05539881286677,\n", - " 'response_time': 1716.5363255622797,\n", - " 'change_frame': 102884,\n", - " 'change_time': 1715.9070473431634,\n", - " 'response_latency': 0.6292782191162587,\n", - " 'initial_image_name': 'im061',\n", - " 'change_image_name': 'im077'}]" + " 'change_frame': 50014,\n", + " 'trial_length': 7.28943843441084}]" ] }, "execution_count": 25, @@ -5825,10 +6440,10 @@ "id": "807123e3", "metadata": { "papermill": { - "duration": 0.271118, - "end_time": "2023-09-27T20:44:41.159748", + "duration": 0.111758, + "end_time": "2023-11-06T21:21:58.411088", "exception": false, - "start_time": "2023-09-27T20:44:40.888630", + "start_time": "2023-11-06T21:21:58.299330", "status": "completed" }, "tags": [] @@ -5843,16 +6458,16 @@ "id": "7d0f5d72", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:41.572052Z", - "iopub.status.busy": "2023-09-27T20:44:41.571062Z", - "iopub.status.idle": "2023-09-27T20:44:42.951669Z", - "shell.execute_reply": "2023-09-27T20:44:42.950368Z" + "iopub.execute_input": "2023-11-06T21:21:58.628772Z", + "iopub.status.busy": "2023-11-06T21:21:58.628268Z", + "iopub.status.idle": "2023-11-06T21:21:59.271421Z", + "shell.execute_reply": "2023-11-06T21:21:59.270571Z" }, "papermill": { - "duration": 1.594741, - "end_time": "2023-09-27T20:44:42.953988", + "duration": 0.751172, + "end_time": "2023-11-06T21:21:59.273078", "exception": false, - "start_time": "2023-09-27T20:44:41.359247", + "start_time": "2023-11-06T21:21:58.521906", "status": "completed" }, "tags": [] @@ -5861,29 +6476,29 @@ { "data": { "text/plain": [ - "{'trial_count': 731,\n", - " 'go_trial_count': 182,\n", - " 'catch_trial_count': 23,\n", - " 'hit_trial_count': 140,\n", - " 'miss_trial_count': 42,\n", - " 'false_alarm_trial_count': 9,\n", - " 'correct_reject_trial_count': 14,\n", + "{'trial_count': 516,\n", + " 'go_trial_count': 285,\n", + " 'catch_trial_count': 41,\n", + " 'hit_trial_count': 112,\n", + " 'miss_trial_count': 173,\n", + " 'false_alarm_trial_count': 4,\n", + " 'correct_reject_trial_count': 37,\n", " 'auto_reward_count': 5,\n", - " 'earned_reward_count': 140,\n", - " 'total_reward_count': 145,\n", - " 'total_reward_volume': 1.005,\n", - " 'maximum_reward_rate': 4.075808888375142,\n", - " 'engaged_trial_count': 592,\n", - " 'mean_hit_rate': 0.8502914507732698,\n", - " 'mean_hit_rate_uncorrected': 0.8566154925851164,\n", - " 'mean_hit_rate_engaged': 0.850133803520822,\n", - " 'mean_false_alarm_rate': 0.44437049628376163,\n", - " 'mean_false_alarm_rate_uncorrected': 0.4367174350592718,\n", - " 'mean_false_alarm_rate_engaged': 0.44609689480379144,\n", - " 'mean_dprime': 1.1971098252194956,\n", - " 'mean_dprime_engaged': 1.1933102334054815,\n", - " 'max_dprime': 1.7904646832340632,\n", - " 'max_dprime_engaged': 1.5810766796714655}" + " 'earned_reward_count': 112,\n", + " 'total_reward_count': 117,\n", + " 'total_reward_volume': 0.8090000000000003,\n", + " 'maximum_reward_rate': 4.538096320942588,\n", + " 'engaged_trial_count': 286,\n", + " 'mean_hit_rate': 0.5083809219533413,\n", + " 'mean_hit_rate_uncorrected': 0.5117040303377993,\n", + " 'mean_hit_rate_engaged': 0.8257788159919639,\n", + " 'mean_false_alarm_rate': 0.14930388037062595,\n", + " 'mean_false_alarm_rate_uncorrected': 0.14679636896218573,\n", + " 'mean_false_alarm_rate_engaged': 0.2690580253080253,\n", + " 'mean_dprime': 1.1510474492903155,\n", + " 'mean_dprime_engaged': 1.6017817039091784,\n", + " 'max_dprime': 2.1577849816633154,\n", + " 'max_dprime_engaged': 2.1577849816633154}" ] }, "execution_count": 26, @@ -5900,10 +6515,10 @@ "id": "70da6184", "metadata": { "papermill": { - "duration": 0.191479, - "end_time": "2023-09-27T20:44:43.331109", + "duration": 0.103394, + "end_time": "2023-11-06T21:21:59.484814", "exception": false, - "start_time": "2023-09-27T20:44:43.139630", + "start_time": "2023-11-06T21:21:59.381420", "status": "completed" }, "tags": [] @@ -5919,16 +6534,16 @@ "id": "febbf8b6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:44:43.733740Z", - "iopub.status.busy": "2023-09-27T20:44:43.732929Z", - "iopub.status.idle": "2023-09-27T20:45:25.060297Z", - "shell.execute_reply": "2023-09-27T20:45:25.059360Z" + "iopub.execute_input": "2023-11-06T21:21:59.695237Z", + "iopub.status.busy": "2023-11-06T21:21:59.694687Z", + "iopub.status.idle": "2023-11-06T21:22:14.981338Z", + "shell.execute_reply": "2023-11-06T21:22:14.980688Z" }, "papermill": { - "duration": 41.725887, - "end_time": "2023-09-27T20:45:25.263251", + "duration": 15.392496, + "end_time": "2023-11-06T21:22:14.982726", "exception": false, - "start_time": "2023-09-27T20:44:43.537364", + "start_time": "2023-11-06T21:21:59.590230", "status": "completed" }, "tags": [] @@ -5946,16 +6561,16 @@ "id": "08670cce", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:45:25.671741Z", - "iopub.status.busy": "2023-09-27T20:45:25.670137Z", - "iopub.status.idle": "2023-09-27T20:45:25.697752Z", - "shell.execute_reply": "2023-09-27T20:45:25.696824Z" + "iopub.execute_input": "2023-11-06T21:22:15.239617Z", + "iopub.status.busy": "2023-11-06T21:22:15.238992Z", + "iopub.status.idle": "2023-11-06T21:22:15.255407Z", + "shell.execute_reply": "2023-11-06T21:22:15.254599Z" }, "papermill": { - "duration": 0.23219, - "end_time": "2023-09-27T20:45:25.700877", + "duration": 0.123391, + "end_time": "2023-11-06T21:22:15.256825", "exception": false, - "start_time": "2023-09-27T20:45:25.468687", + "start_time": "2023-11-06T21:22:15.133434", "status": "completed" }, "tags": [] @@ -6009,20 +6624,20 @@ " \n", " \n", " \n", - " 831129394\n", - " 122\n", + " 837658854\n", + " 118\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 122\n", + " 118\n", " 0\n", - " 122\n", - " 0.610\n", - " 7.940230\n", - " 112\n", + " 118\n", + " 0.590\n", + " 4.852157\n", + " 101\n", " NaN\n", " NaN\n", " NaN\n", @@ -6035,108 +6650,108 @@ " NaN\n", " \n", " \n", - 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"831129394 0 0 \n", - "832021447 34 10 \n", - "832544149 1 9 \n", - "833328750 49 7 \n", - "834087859 170 7 \n", + "837658854 0 0 \n", + "838515247 27 6 \n", + "839219841 287 1 \n", + "839565422 162 4 \n", + "839912316 71 6 \n", "\n", " correct_reject_trial_count auto_reward_count earned_reward_count \\\n", - "831129394 0 122 0 \n", - "832021447 7 6 67 \n", - "832544149 4 5 75 \n", - "833328750 14 7 140 \n", - "834087859 46 17 124 \n", + "837658854 0 118 0 \n", + "838515247 7 5 106 \n", + "839219841 60 29 48 \n", + "839565422 37 15 107 \n", + "839912316 14 10 103 \n", "\n", " total_reward_count total_reward_volume maximum_reward_rate \\\n", - "831129394 122 0.610 7.940230 \n", - "832021447 73 0.700 3.003025 \n", - "832544149 80 0.775 4.100249 \n", - "833328750 147 1.435 4.914088 \n", - "834087859 141 1.325 5.402127 \n", + "837658854 118 0.590 4.852157 \n", + "838515247 111 1.085 5.294545 \n", + "839219841 77 0.625 5.015095 \n", + "839565422 122 1.145 5.393113 \n", + "839912316 113 1.080 3.833645 \n", "\n", " engaged_trial_count mean_hit_rate mean_hit_rate_uncorrected \\\n", - "831129394 112 NaN NaN \n", - "832021447 172 0.438318 0.427423 \n", - "832544149 388 0.957304 0.974269 \n", - "833328750 664 0.870796 0.881694 \n", - "834087859 322 0.531782 0.539226 \n", + "837658854 101 NaN NaN \n", + "838515247 346 0.808946 0.819726 \n", + "839219841 49 0.231115 0.233778 \n", + "839565422 403 0.523621 0.529213 \n", + "839912316 583 0.778670 0.785813 \n", "\n", " mean_hit_rate_engaged mean_false_alarm_rate \\\n", - "831129394 NaN NaN \n", - "832021447 0.433100 0.421818 \n", - "832544149 0.974991 0.787584 \n", - "833328750 0.935623 0.502420 \n", - "834087859 0.832751 0.197336 \n", + "837658854 NaN NaN \n", + "838515247 0.822212 0.574381 \n", + "839219841 0.809956 0.059502 \n", + "839565422 0.877314 0.192331 \n", + "839912316 0.919466 0.439618 \n", "\n", " mean_false_alarm_rate_uncorrected mean_false_alarm_rate_engaged \\\n", - "831129394 NaN NaN \n", - "832021447 0.397976 0.435379 \n", - "832544149 0.881553 0.805444 \n", - "833328750 0.482349 0.633119 \n", - "834087859 0.165555 0.301101 \n", + "837658854 NaN NaN \n", + "838515247 0.624039 0.421906 \n", + "839219841 0.025165 0.176463 \n", + "839565422 0.169870 0.377171 \n", + "839912316 0.511879 0.586558 \n", "\n", " mean_dprime mean_dprime_engaged max_dprime max_dprime_engaged \n", - "831129394 NaN NaN NaN NaN \n", - "832021447 0.121475 -0.006137 0.792775 0.131320 \n", - "832544149 1.093624 1.089942 1.857055 1.857055 \n", - "833328750 1.485135 1.364075 2.217040 2.104946 \n", - "834087859 1.129222 1.766182 2.850748 2.850748 " + "837658854 NaN NaN NaN NaN \n", + "838515247 0.662053 1.145407 1.832280 1.832280 \n", + "839219841 0.452645 1.875796 2.288211 2.288211 \n", + "839565422 1.208391 1.599180 2.201408 2.201408 \n", + "839912316 1.164035 1.240594 1.679661 1.644854 " ] }, "execution_count": 28, @@ -6214,10 +6829,10 @@ "id": "4ca6eac5", "metadata": { "papermill": { - "duration": 0.210939, - "end_time": "2023-09-27T20:45:26.113472", + "duration": 0.104658, + "end_time": "2023-11-06T21:22:15.467365", "exception": false, - "start_time": "2023-09-27T20:45:25.902533", + "start_time": "2023-11-06T21:22:15.362707", "status": "completed" }, "tags": [] @@ -6232,16 +6847,16 @@ "id": "50232076", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:45:26.606877Z", - "iopub.status.busy": "2023-09-27T20:45:26.606050Z", - "iopub.status.idle": "2023-09-27T20:45:26.674644Z", - "shell.execute_reply": "2023-09-27T20:45:26.673314Z" + "iopub.execute_input": "2023-11-06T21:22:15.678895Z", + "iopub.status.busy": "2023-11-06T21:22:15.678224Z", + "iopub.status.idle": "2023-11-06T21:22:15.711627Z", + "shell.execute_reply": "2023-11-06T21:22:15.710929Z" }, "papermill": { - "duration": 0.366202, - "end_time": "2023-09-27T20:45:26.682609", + "duration": 0.14034, + "end_time": "2023-11-06T21:22:15.713110", "exception": false, - "start_time": "2023-09-27T20:45:26.316407", + "start_time": "2023-11-06T21:22:15.572770", "status": "completed" }, "tags": [] @@ -6268,39 +6883,53 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", + " imaging_plane_group_count\n", + " project_code\n", + " session_type\n", " session_number\n", + " image_set\n", + " behavior_type\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", " date_of_acquisition\n", - " session_type\n", + " equipment_name\n", + " num_depths_per_area\n", + " ophys_experiment_id\n", + " num_targeted_structures\n", + " go_trial_count_x\n", + " false_alarm_trial_count_x\n", + " catch_trial_count_x\n", + " engaged_trial_count_x\n", + " trial_count_x\n", + " hit_trial_count_x\n", + " miss_trial_count_x\n", + " correct_reject_trial_count_x\n", " file_id\n", - " trial_count\n", - " go_trial_count\n", - " catch_trial_count\n", - " hit_trial_count\n", - " miss_trial_count\n", - " false_alarm_trial_count\n", - " correct_reject_trial_count\n", + " trial_count_y\n", + " go_trial_count_y\n", + " catch_trial_count_y\n", + " hit_trial_count_y\n", + " miss_trial_count_y\n", + " false_alarm_trial_count_y\n", + " correct_reject_trial_count_y\n", " auto_reward_count\n", " earned_reward_count\n", " total_reward_count\n", " total_reward_volume\n", " maximum_reward_rate\n", - " engaged_trial_count\n", + " engaged_trial_count_y\n", " mean_hit_rate\n", " mean_hit_rate_uncorrected\n", " mean_hit_rate_engaged\n", @@ -6357,44 +6986,72 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 831129394\n", - " BEH.F\n", + " 837658854\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 81.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 72\n", " <NA>\n", - " 0.0\n", + " VisualBehavior\n", + " TRAINING_0_gratings_autorewards_15min\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", + " <NA>\n", + " 0\n", + " 2019-03-15 14:49:24.015000+00:00\n", + " BEH.B-Box3\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-01 13:25:23.766000+00:00\n", - " TRAINING_0_gratings_autorewards_15min\n", - " 1.085362e+09\n", - " 122\n", + " <NA>\n", " 0\n", " 0\n", " 0\n", + " 101\n", + " 118\n", " 0\n", " 0\n", " 0\n", - " 122\n", + " 5235\n", + " 118\n", " 0\n", - " 122\n", - " 0.610\n", - " 7.940230\n", - " 112\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 118\n", + " 0\n", + " 118\n", + " 0.590\n", + " 4.852157\n", + " 101\n", " NaN\n", " NaN\n", " NaN\n", @@ -6407,361 +7064,465 @@ " NaN\n", " \n", " \n", - " 832021447\n", - " BEH.F\n", + " 838515247\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 84.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 75\n", + " <NA>\n", + " VisualBehavior\n", + " TRAINING_1_gratings\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", " <NA>\n", - " 0.0\n", + " 0\n", + " 2019-03-18 13:44:01.474000+00:00\n", + " BEH.B-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-04 14:21:34.570000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085362e+09\n", - " 1609\n", - " 101\n", - " 17\n", - " 67\n", - " 34\n", - " 10\n", + " <NA>\n", + " 133\n", + " 6\n", + " 13\n", + " 341\n", + " 1405\n", + " 106\n", + " 27\n", " 7\n", + " 5236\n", + " 1405\n", + " 133\n", + " 13\n", + " 106\n", + " 27\n", " 6\n", - " 67\n", - " 73\n", - " 0.700\n", - " 3.003025\n", - " 172\n", - " 0.438318\n", - " 0.427423\n", - " 0.433100\n", - " 0.421818\n", - " 0.397976\n", - " 0.435379\n", - " 0.121475\n", - " -0.006137\n", - " 0.792775\n", - " 0.131320\n", + " 7\n", + " 5\n", + " 106\n", + " 111\n", + " 1.085\n", + " 5.294545\n", + " 346\n", + " 0.808946\n", + " 0.819726\n", + " 0.822212\n", + " 0.574381\n", + " 0.624039\n", + " 0.421906\n", + " 0.662053\n", + " 1.145407\n", + " 1.832280\n", + " 1.832280\n", " \n", " \n", - " 832544149\n", - " BEH.F\n", + " 839219841\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 85.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 76\n", + " <NA>\n", + " VisualBehavior\n", + " TRAINING_1_gratings\n", " <NA>\n", - " 1.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 1\n", " <NA>\n", - " 0.0\n", + " 0\n", + " 2019-03-19 12:50:12.068000+00:00\n", + " BEH.B-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-05 13:52:38.642000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085362e+09\n", - " 1581\n", - " 76\n", - " 13\n", - " 75\n", + " <NA>\n", + " 335\n", " 1\n", - " 9\n", - " 4\n", - " 5\n", - " 75\n", - " 80\n", - " 0.775\n", - " 4.100249\n", - " 388\n", - " 0.957304\n", - " 0.974269\n", - " 0.974991\n", - " 0.787584\n", - " 0.881553\n", - " 0.805444\n", - " 1.093624\n", - " 1.089942\n", - " 1.857055\n", - " 1.857055\n", + " 61\n", + " 47\n", + " 451\n", + " 48\n", + " 287\n", + " 60\n", + " 5237\n", + " 451\n", + " 335\n", + " 61\n", + " 48\n", + " 287\n", + " 1\n", + " 60\n", + " 29\n", + " 48\n", + " 77\n", + " 0.625\n", + " 5.015095\n", + " 49\n", + " 0.231115\n", + " 0.233778\n", + " 0.809956\n", + " 0.059502\n", + " 0.025165\n", + " 0.176463\n", + " 0.452645\n", + " 1.875796\n", + " 2.288211\n", + " 2.288211\n", " \n", " \n", - " 833328750\n", - " BEH.F\n", + " 839565422\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 86.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 77\n", " <NA>\n", - " 2.0\n", + " VisualBehavior\n", + " TRAINING_1_gratings\n", " <NA>\n", - " 0.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 2\n", + " <NA>\n", + " 0\n", + " 2019-03-20 13:16:44.461000+00:00\n", + " BEH.B-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-06 14:27:39.035000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085362e+09\n", - " 1158\n", - " 189\n", - " 21\n", - " 140\n", - " 49\n", - " 7\n", - " 14\n", - " 7\n", - " 140\n", - " 147\n", - " 1.435\n", - " 4.914088\n", - " 664\n", - " 0.870796\n", - " 0.881694\n", - " 0.935623\n", - " 0.502420\n", - " 0.482349\n", - " 0.633119\n", - " 1.485135\n", - " 1.364075\n", - " 2.217040\n", - " 2.104946\n", + " <NA>\n", + " 269\n", + " 4\n", + " 41\n", + " 386\n", + " 683\n", + " 107\n", + " 162\n", + " 37\n", + " 5238\n", + " 683\n", + " 269\n", + " 41\n", + " 107\n", + " 162\n", + " 4\n", + " 37\n", + " 15\n", + " 107\n", + " 122\n", + " 1.145\n", + " 5.393113\n", + " 403\n", + " 0.523621\n", + " 0.529213\n", + " 0.877314\n", + " 0.192331\n", + " 0.169870\n", + " 0.377171\n", + " 1.208391\n", + " 1.599180\n", + " 2.201408\n", + " 2.201408\n", " \n", " \n", - " 834087859\n", - " BEH.F\n", + " 839912316\n", + " <NA>\n", + " NaN\n", + " 445002\n", + " GCaMP6f\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 440298\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 87.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", + " 78\n", + " <NA>\n", + " VisualBehavior\n", + " TRAINING_2_gratings_flashed\n", " <NA>\n", - " 3.0\n", + " gratings\n", + " active_behavior\n", + " Training\n", + " 0\n", " <NA>\n", - " 0.0\n", + " 0\n", + " 2019-03-21 12:54:25.388000+00:00\n", + " BEH.B-Box1\n", " <NA>\n", " NaN\n", - " NaN\n", - " NaN\n", - " 2019-03-07 14:01:17.016000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085362e+09\n", - " 565\n", - " 294\n", - " 53\n", - " 124\n", - " 170\n", - " 7\n", - " 46\n", - " 17\n", - " 124\n", - " 141\n", - " 1.325\n", - " 5.402127\n", - " 322\n", - " 0.531782\n", - " 0.539226\n", - " 0.832751\n", - " 0.197336\n", - " 0.165555\n", - " 0.301101\n", - " 1.129222\n", - " 1.766182\n", - " 2.850748\n", - " 2.850748\n", + " <NA>\n", + " 174\n", + " 6\n", + " 20\n", + " 583\n", + " 966\n", + " 103\n", + " 71\n", + " 14\n", + " 5239\n", + " 966\n", + " 174\n", + " 20\n", + " 103\n", + " 71\n", + " 6\n", + " 14\n", + " 10\n", + " 103\n", + " 113\n", + " 1.080\n", + " 3.833645\n", + " 583\n", + " 0.778670\n", + " 0.785813\n", + " 0.919466\n", + " 0.439618\n", + " 0.511879\n", + " 0.586558\n", + " 1.164035\n", + " 1.240594\n", + " 1.679661\n", + " 1.644854\n", " \n", " \n", "\n", "" ], "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "831129394 BEH.F \n", - "832021447 BEH.F \n", - "832544149 BEH.F \n", - "833328750 BEH.F \n", - "834087859 BEH.F \n", + " ophys_session_id ophys_container_id mouse_id indicator \\\n", + "behavior_session_id \n", + "837658854 NaN 445002 GCaMP6f \n", + "838515247 NaN 445002 GCaMP6f \n", + "839219841 NaN 445002 GCaMP6f \n", + "839565422 NaN 445002 GCaMP6f \n", + "839912316 NaN 445002 GCaMP6f \n", "\n", " full_genotype \\\n", "behavior_session_id \n", - "831129394 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "832021447 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "832544149 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "833328750 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "834087859 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "\n", - " mouse_id reporter_line \\\n", - "behavior_session_id \n", - "831129394 440298 Ai93(TITL-GCaMP6f) \n", - "832021447 440298 Ai93(TITL-GCaMP6f) \n", - "832544149 440298 Ai93(TITL-GCaMP6f) \n", - "833328750 440298 Ai93(TITL-GCaMP6f) \n", - "834087859 440298 Ai93(TITL-GCaMP6f) \n", - "\n", - " driver_line sex age_in_days \\\n", - "behavior_session_id \n", - "831129394 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 81.0 \n", - "832021447 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 84.0 \n", - "832544149 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 85.0 \n", - "833328750 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 86.0 \n", - "834087859 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 87.0 \n", + "837658854 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "838515247 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839219841 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839565422 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "839912316 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", "\n", - " cre_line indicator session_number \\\n", - "behavior_session_id \n", - "831129394 Slc17a7-IRES2-Cre GCaMP6f \n", - "832021447 Slc17a7-IRES2-Cre GCaMP6f \n", - "832544149 Slc17a7-IRES2-Cre GCaMP6f \n", - "833328750 Slc17a7-IRES2-Cre GCaMP6f \n", - "834087859 Slc17a7-IRES2-Cre GCaMP6f \n", + " driver_line cre_line \\\n", + "behavior_session_id \n", + "837658854 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "838515247 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839219841 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839565422 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "839912316 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "\n", + " reporter_line sex age_in_days \\\n", + "behavior_session_id \n", + "837658854 Ai93(TITL-GCaMP6f) M 72 \n", + "838515247 Ai93(TITL-GCaMP6f) M 75 \n", + "839219841 Ai93(TITL-GCaMP6f) M 76 \n", + "839565422 Ai93(TITL-GCaMP6f) M 77 \n", + "839912316 Ai93(TITL-GCaMP6f) M 78 \n", + "\n", + " imaging_plane_group_count project_code \\\n", + "behavior_session_id \n", + "837658854 VisualBehavior \n", + "838515247 VisualBehavior \n", + "839219841 VisualBehavior \n", + "839565422 VisualBehavior \n", + "839912316 VisualBehavior \n", + "\n", + " session_type session_number \\\n", + "behavior_session_id \n", + "837658854 TRAINING_0_gratings_autorewards_15min \n", + "838515247 TRAINING_1_gratings \n", + "839219841 TRAINING_1_gratings \n", + "839565422 TRAINING_1_gratings \n", + "839912316 TRAINING_2_gratings_flashed \n", + "\n", + " image_set behavior_type experience_level \\\n", + "behavior_session_id \n", + "837658854 gratings active_behavior Training \n", + "838515247 gratings active_behavior Training \n", + "839219841 gratings active_behavior Training \n", + "839565422 gratings active_behavior Training \n", + "839912316 gratings active_behavior Training \n", "\n", " prior_exposures_to_session_type \\\n", "behavior_session_id \n", - "831129394 0.0 \n", - "832021447 0.0 \n", - "832544149 1.0 \n", - "833328750 2.0 \n", - "834087859 3.0 \n", + "837658854 0 \n", + "838515247 0 \n", + "839219841 1 \n", + "839565422 2 \n", + "839912316 0 \n", "\n", " prior_exposures_to_image_set \\\n", "behavior_session_id \n", - "831129394 \n", - "832021447 \n", - "832544149 \n", - "833328750 \n", - "834087859 \n", - "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", - "behavior_session_id \n", - "831129394 0.0 \n", - "832021447 0.0 \n", - "832544149 0.0 \n", - "833328750 0.0 \n", - "834087859 0.0 \n", - "\n", - " ophys_experiment_id ophys_container_id project_code \\\n", - "behavior_session_id \n", - "831129394 NaN NaN NaN \n", - "832021447 NaN NaN NaN \n", - "832544149 NaN NaN NaN \n", - "833328750 NaN NaN NaN \n", - "834087859 NaN NaN NaN \n", - "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "831129394 2019-03-01 13:25:23.766000+00:00 \n", - "832021447 2019-03-04 14:21:34.570000+00:00 \n", - "832544149 2019-03-05 13:52:38.642000+00:00 \n", - "833328750 2019-03-06 14:27:39.035000+00:00 \n", - "834087859 2019-03-07 14:01:17.016000+00:00 \n", + "837658854 \n", + "838515247 \n", + "839219841 \n", + "839565422 \n", + "839912316 \n", "\n", - " session_type file_id \\\n", - "behavior_session_id \n", - "831129394 TRAINING_0_gratings_autorewards_15min 1.085362e+09 \n", - "832021447 TRAINING_1_gratings 1.085362e+09 \n", - "832544149 TRAINING_1_gratings 1.085362e+09 \n", - "833328750 TRAINING_1_gratings 1.085362e+09 \n", - "834087859 TRAINING_1_gratings 1.085362e+09 \n", + " prior_exposures_to_omissions \\\n", + "behavior_session_id \n", + "837658854 0 \n", + "838515247 0 \n", + "839219841 0 \n", + "839565422 0 \n", + "839912316 0 \n", "\n", - " trial_count go_trial_count catch_trial_count \\\n", + " date_of_acquisition equipment_name \\\n", "behavior_session_id \n", - "831129394 122 0 0 \n", - "832021447 1609 101 17 \n", - "832544149 1581 76 13 \n", - "833328750 1158 189 21 \n", - "834087859 565 294 53 \n", + "837658854 2019-03-15 14:49:24.015000+00:00 BEH.B-Box3 \n", + "838515247 2019-03-18 13:44:01.474000+00:00 BEH.B-Box1 \n", + "839219841 2019-03-19 12:50:12.068000+00:00 BEH.B-Box1 \n", + "839565422 2019-03-20 13:16:44.461000+00:00 BEH.B-Box1 \n", + "839912316 2019-03-21 12:54:25.388000+00:00 BEH.B-Box1 \n", "\n", - " hit_trial_count miss_trial_count \\\n", - "behavior_session_id \n", - "831129394 0 0 \n", - "832021447 67 34 \n", - "832544149 75 1 \n", - "833328750 140 49 \n", - "834087859 124 170 \n", + " num_depths_per_area ophys_experiment_id \\\n", + "behavior_session_id \n", + "837658854 NaN \n", + "838515247 NaN \n", + "839219841 NaN \n", + "839565422 NaN \n", + "839912316 NaN \n", + "\n", + " num_targeted_structures go_trial_count_x \\\n", + "behavior_session_id \n", + "837658854 0 \n", + "838515247 133 \n", + "839219841 335 \n", + "839565422 269 \n", + "839912316 174 \n", + "\n", + " false_alarm_trial_count_x catch_trial_count_x \\\n", + "behavior_session_id \n", + "837658854 0 0 \n", + "838515247 6 13 \n", + "839219841 1 61 \n", + "839565422 4 41 \n", + "839912316 6 20 \n", "\n", - " false_alarm_trial_count correct_reject_trial_count \\\n", - "behavior_session_id \n", - "831129394 0 0 \n", - "832021447 10 7 \n", - "832544149 9 4 \n", - "833328750 7 14 \n", - "834087859 7 46 \n", + " engaged_trial_count_x trial_count_x hit_trial_count_x \\\n", + "behavior_session_id \n", + "837658854 101 118 0 \n", + "838515247 341 1405 106 \n", + "839219841 47 451 48 \n", + "839565422 386 683 107 \n", + "839912316 583 966 103 \n", "\n", - " auto_reward_count earned_reward_count \\\n", + " miss_trial_count_x correct_reject_trial_count_x \\\n", + "behavior_session_id \n", + "837658854 0 0 \n", + "838515247 27 7 \n", + "839219841 287 60 \n", + "839565422 162 37 \n", + "839912316 71 14 \n", + "\n", + " file_id trial_count_y go_trial_count_y \\\n", + "behavior_session_id \n", + "837658854 5235 118 0 \n", + "838515247 5236 1405 133 \n", + "839219841 5237 451 335 \n", + "839565422 5238 683 269 \n", + "839912316 5239 966 174 \n", + "\n", + " catch_trial_count_y hit_trial_count_y \\\n", "behavior_session_id \n", - "831129394 122 0 \n", - "832021447 6 67 \n", - "832544149 5 75 \n", - "833328750 7 140 \n", - "834087859 17 124 \n", - "\n", - " total_reward_count total_reward_volume \\\n", + "837658854 0 0 \n", + "838515247 13 106 \n", + "839219841 61 48 \n", + "839565422 41 107 \n", + "839912316 20 103 \n", + "\n", + " miss_trial_count_y false_alarm_trial_count_y \\\n", + "behavior_session_id \n", + "837658854 0 0 \n", + "838515247 27 6 \n", + "839219841 287 1 \n", + "839565422 162 4 \n", + "839912316 71 6 \n", + "\n", + " correct_reject_trial_count_y auto_reward_count \\\n", + "behavior_session_id \n", + "837658854 0 118 \n", + "838515247 7 5 \n", + "839219841 60 29 \n", + "839565422 37 15 \n", + "839912316 14 10 \n", + "\n", + " earned_reward_count total_reward_count \\\n", "behavior_session_id \n", - "831129394 122 0.610 \n", - "832021447 73 0.700 \n", - "832544149 80 0.775 \n", - "833328750 147 1.435 \n", - "834087859 141 1.325 \n", - "\n", - " maximum_reward_rate engaged_trial_count mean_hit_rate \\\n", - "behavior_session_id \n", - "831129394 7.940230 112 NaN \n", - "832021447 3.003025 172 0.438318 \n", - "832544149 4.100249 388 0.957304 \n", - "833328750 4.914088 664 0.870796 \n", - "834087859 5.402127 322 0.531782 \n", + "837658854 0 118 \n", + "838515247 106 111 \n", + "839219841 48 77 \n", + "839565422 107 122 \n", + "839912316 103 113 \n", + "\n", + " total_reward_volume maximum_reward_rate \\\n", + "behavior_session_id \n", + "837658854 0.590 4.852157 \n", + "838515247 1.085 5.294545 \n", + "839219841 0.625 5.015095 \n", + "839565422 1.145 5.393113 \n", + "839912316 1.080 3.833645 \n", + "\n", + " engaged_trial_count_y mean_hit_rate \\\n", + "behavior_session_id \n", + "837658854 101 NaN \n", + "838515247 346 0.808946 \n", + "839219841 49 0.231115 \n", + "839565422 403 0.523621 \n", + "839912316 583 0.778670 \n", "\n", " mean_hit_rate_uncorrected mean_hit_rate_engaged \\\n", "behavior_session_id \n", - "831129394 NaN NaN \n", - "832021447 0.427423 0.433100 \n", - "832544149 0.974269 0.974991 \n", - "833328750 0.881694 0.935623 \n", - "834087859 0.539226 0.832751 \n", + "837658854 NaN NaN \n", + "838515247 0.819726 0.822212 \n", + "839219841 0.233778 0.809956 \n", + "839565422 0.529213 0.877314 \n", + "839912316 0.785813 0.919466 \n", "\n", " mean_false_alarm_rate mean_false_alarm_rate_uncorrected \\\n", "behavior_session_id \n", - "831129394 NaN NaN \n", - "832021447 0.421818 0.397976 \n", - "832544149 0.787584 0.881553 \n", - "833328750 0.502420 0.482349 \n", - "834087859 0.197336 0.165555 \n", + "837658854 NaN NaN \n", + "838515247 0.574381 0.624039 \n", + "839219841 0.059502 0.025165 \n", + "839565422 0.192331 0.169870 \n", + "839912316 0.439618 0.511879 \n", "\n", " mean_false_alarm_rate_engaged mean_dprime \\\n", "behavior_session_id \n", - "831129394 NaN NaN \n", - "832021447 0.435379 0.121475 \n", - "832544149 0.805444 1.093624 \n", - "833328750 0.633119 1.485135 \n", - "834087859 0.301101 1.129222 \n", + "837658854 NaN NaN \n", + "838515247 0.421906 0.662053 \n", + "839219841 0.176463 0.452645 \n", + "839565422 0.377171 1.208391 \n", + "839912316 0.586558 1.164035 \n", "\n", " mean_dprime_engaged max_dprime max_dprime_engaged \n", "behavior_session_id \n", - "831129394 NaN NaN NaN \n", - "832021447 -0.006137 0.792775 0.131320 \n", - "832544149 1.089942 1.857055 1.857055 \n", - "833328750 1.364075 2.217040 2.104946 \n", - "834087859 1.766182 2.850748 2.850748 " + "837658854 NaN NaN NaN \n", + "838515247 1.145407 1.832280 1.832280 \n", + "839219841 1.875796 2.288211 2.288211 \n", + "839565422 1.599180 2.201408 2.201408 \n", + "839912316 1.240594 1.679661 1.644854 " ] }, "execution_count": 29, @@ -6783,10 +7544,10 @@ "id": "fac4dd45", "metadata": { "papermill": { - "duration": 0.193115, - "end_time": "2023-09-27T20:45:27.083796", + "duration": 0.105607, + "end_time": "2023-11-06T21:22:15.925607", "exception": false, - "start_time": "2023-09-27T20:45:26.890681", + "start_time": "2023-11-06T21:22:15.820000", "status": "completed" }, "tags": [] @@ -6802,16 +7563,16 @@ "id": "c9a1db3f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:45:27.477786Z", - "iopub.status.busy": "2023-09-27T20:45:27.476812Z", - "iopub.status.idle": "2023-09-27T20:45:27.701980Z", - 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"start_time": "2023-09-27T20:33:50.469131", + "start_time": "2023-11-06T21:13:01.545600", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_LFP_analysis.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_LFP_analysis.ipynb index f008fb36a..9ecb5c8a4 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_LFP_analysis.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_LFP_analysis.ipynb @@ -5,10 +5,10 @@ "id": "6bb02f1a", "metadata": { "papermill": { - "duration": 0.01297, - "end_time": "2023-09-27T22:25:52.152676", + "duration": 0.007689, + "end_time": "2023-11-06T22:30:10.563277", "exception": false, - "start_time": "2023-09-27T22:25:52.139706", + "start_time": "2023-11-06T22:30:10.555588", "status": "completed" }, "tags": [] @@ -38,10 +38,10 @@ "id": "e36acc8a", "metadata": { "papermill": { - "duration": 0.011885, - "end_time": "2023-09-27T22:25:52.175641", + "duration": 0.006795, + "end_time": "2023-11-06T22:30:10.577072", "exception": false, - "start_time": "2023-09-27T22:25:52.163756", + "start_time": "2023-11-06T22:30:10.570277", "status": "completed" }, "tags": [] @@ -55,10 +55,10 @@ "id": "6c7d2610", "metadata": { "papermill": { - "duration": 0.011402, - "end_time": "2023-09-27T22:25:52.199140", + "duration": 0.006694, + "end_time": "2023-11-06T22:30:10.590757", "exception": false, - "start_time": "2023-09-27T22:25:52.187738", + "start_time": "2023-11-06T22:30:10.584063", "status": "completed" }, "tags": [] @@ -73,16 +73,16 @@ "id": "7bc37452", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:25:52.224047Z", - "iopub.status.busy": "2023-09-27T22:25:52.223620Z", - "iopub.status.idle": "2023-09-27T22:26:01.543552Z", - "shell.execute_reply": "2023-09-27T22:26:01.542096Z" + "iopub.execute_input": "2023-11-06T22:30:10.606308Z", + "iopub.status.busy": "2023-11-06T22:30:10.605851Z", + "iopub.status.idle": "2023-11-06T22:30:15.525640Z", + "shell.execute_reply": "2023-11-06T22:30:15.524968Z" }, "papermill": { - 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"duration": 0.01223, - "end_time": "2023-09-27T22:26:01.636257", + "duration": 0.00685, + "end_time": "2023-11-06T22:30:15.579653", "exception": false, - "start_time": "2023-09-27T22:26:01.624027", + "start_time": "2023-11-06T22:30:15.572803", "status": "completed" }, "tags": [] @@ -157,16 +157,16 @@ "id": "a8c7bacd", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:26:01.671614Z", - "iopub.status.busy": "2023-09-27T22:26:01.670180Z", - "iopub.status.idle": "2023-09-27T22:26:14.770823Z", - "shell.execute_reply": "2023-09-27T22:26:14.769295Z" + "iopub.execute_input": "2023-11-06T22:30:15.594818Z", + "iopub.status.busy": "2023-11-06T22:30:15.594172Z", + "iopub.status.idle": "2023-11-06T22:30:25.904622Z", + "shell.execute_reply": "2023-11-06T22:30:25.903860Z" }, "papermill": { - "duration": 13.126506, - "end_time": "2023-09-27T22:26:14.773833", + "duration": 10.319551, + "end_time": "2023-11-06T22:30:25.905983", "exception": false, - "start_time": "2023-09-27T22:26:01.647327", + "start_time": "2023-11-06T22:30:15.586432", "status": "completed" }, "tags": [] @@ -176,7 +176,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -184,15 +184,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpum97te8n/_downloaded_data.json\n", + "/tmp/tmpddctrnk5/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 767kMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.68MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 18.1MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 791kMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 14.4MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 487kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.95MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:05<00:00, 22.1MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.02MMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 18.6MMB/s]\n" ] } ], @@ -206,10 +206,10 @@ "id": "3711ac01", "metadata": { "papermill": { - 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"probe_probeC_lfp.nwb: 100%|██████████| 4.68G/4.68G [05:30<00:00, 14.1MMB/s]\n", + "probe_probeC_lfp.nwb: 100%|██████████| 4.68G/4.68G [04:11<00:00, 18.6MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.5.1 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.5.0 because version 2.6.0-alpha is already loaded.\n", @@ -592,16 +592,16 @@ "id": "7e2eb29a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:36:23.125153Z", - "iopub.status.busy": "2023-09-27T22:36:23.123223Z", - "iopub.status.idle": "2023-09-27T22:36:23.422303Z", - "shell.execute_reply": "2023-09-27T22:36:23.420989Z" + "iopub.execute_input": "2023-11-06T22:37:50.588507Z", + "iopub.status.busy": "2023-11-06T22:37:50.588243Z", + "iopub.status.idle": "2023-11-06T22:37:50.604072Z", + "shell.execute_reply": "2023-11-06T22:37:50.603415Z" }, "papermill": { - 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"duration": 0.212081, - "end_time": "2023-09-27T22:37:16.678011", + "duration": 0.101142, + "end_time": "2023-11-06T22:38:01.435600", "exception": false, - "start_time": "2023-09-27T22:37:16.465930", + "start_time": "2023-11-06T22:38:01.334458", "status": "completed" }, "tags": [] @@ -2455,16 +2455,16 @@ "id": "89fe5ff3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:37:17.072211Z", - "iopub.status.busy": "2023-09-27T22:37:17.071241Z", - "iopub.status.idle": "2023-09-27T22:37:21.000668Z", - "shell.execute_reply": "2023-09-27T22:37:20.999426Z" + "iopub.execute_input": "2023-11-06T22:38:01.643384Z", + "iopub.status.busy": "2023-11-06T22:38:01.642745Z", + "iopub.status.idle": "2023-11-06T22:38:04.229583Z", + "shell.execute_reply": "2023-11-06T22:38:04.228886Z" }, "papermill": { - "duration": 4.135545, - "end_time": "2023-09-27T22:37:21.003110", + "duration": 2.692528, + "end_time": "2023-11-06T22:38:04.230974", "exception": false, - "start_time": "2023-09-27T22:37:16.867565", + "start_time": "2023-11-06T22:38:01.538446", "status": "completed" }, "scrolled": true, @@ -2867,7 +2867,7 @@ " * virtual_channel_index (virtual_channel_index) int64 0 1 2 3 ... 381 382 383\n", " * time (time) float64 -0.1 -0.0996 -0.0992 ... 0.2496 0.25\n", " vertical_position (virtual_channel_index) int64 0 10 20 ... 3820 3830\n", - " horizontal_position (virtual_channel_index) int64 24 24 24 ... 24 24 24
    • " ], "text/plain": [ "\n", @@ -2986,10 +2986,10 @@ "id": "22aca494", "metadata": { "papermill": { - "duration": 0.286292, - "end_time": "2023-09-27T22:37:21.517372", + "duration": 0.101166, + "end_time": "2023-11-06T22:38:04.435269", "exception": false, - "start_time": "2023-09-27T22:37:21.231080", + "start_time": "2023-11-06T22:38:04.334103", "status": "completed" }, "tags": [] @@ -3004,16 +3004,16 @@ "id": "d657c261", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:37:21.944560Z", - "iopub.status.busy": "2023-09-27T22:37:21.943724Z", - "iopub.status.idle": "2023-09-27T22:37:29.601400Z", - "shell.execute_reply": "2023-09-27T22:37:29.598537Z" + "iopub.execute_input": "2023-11-06T22:38:04.640373Z", + "iopub.status.busy": "2023-11-06T22:38:04.639834Z", + "iopub.status.idle": "2023-11-06T22:38:07.507338Z", + "shell.execute_reply": "2023-11-06T22:38:07.506612Z" }, "papermill": { - "duration": 7.876298, - "end_time": "2023-09-27T22:37:29.610917", + "duration": 2.9717, + "end_time": "2023-11-06T22:38:07.508883", "exception": false, - "start_time": "2023-09-27T22:37:21.734619", + "start_time": "2023-11-06T22:38:04.537183", "status": "completed" }, "tags": [] @@ -3023,7 +3023,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4256/216337481.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", + "/tmp/ipykernel_4288/216337481.py:1: DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.\n", " from scipy.ndimage.filters import gaussian_filter\n" ] }, @@ -3086,10 +3086,10 @@ "id": "1ff7e354", "metadata": { "papermill": { - "duration": 0.324667, - "end_time": "2023-09-27T22:37:30.178370", + "duration": 0.103503, + "end_time": "2023-11-06T22:38:07.717789", "exception": false, - "start_time": "2023-09-27T22:37:29.853703", + "start_time": "2023-11-06T22:38:07.614286", "status": "completed" }, "tags": [] @@ -3104,16 +3104,16 @@ "id": "aa32f450", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:37:30.666589Z", - "iopub.status.busy": "2023-09-27T22:37:30.663853Z", - "iopub.status.idle": "2023-09-27T22:37:30.761012Z", - "shell.execute_reply": "2023-09-27T22:37:30.759873Z" + "iopub.execute_input": "2023-11-06T22:38:07.927034Z", + "iopub.status.busy": "2023-11-06T22:38:07.926737Z", + "iopub.status.idle": "2023-11-06T22:38:07.932006Z", + "shell.execute_reply": "2023-11-06T22:38:07.931339Z" }, "papermill": { - "duration": 0.364727, - "end_time": "2023-09-27T22:37:30.767082", + "duration": 0.11133, + "end_time": "2023-11-06T22:38:07.933406", "exception": false, - "start_time": "2023-09-27T22:37:30.402355", + "start_time": "2023-11-06T22:38:07.822076", "status": "completed" }, "tags": [] @@ -3156,17 +3156,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 703.339308, - "end_time": "2023-09-27T22:37:33.643762", + "duration": 479.517723, + "end_time": "2023-11-06T22:38:09.359069", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_LFP_analysis.ipynb", - "output_path": "/tmp/tmpum97te8n/scratch_nb.ipynb", + "output_path": "/tmp/tmpddctrnk5/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpum97te8n", + "output_dir": "/tmp/tmpddctrnk5", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:25:50.304454", + "start_time": "2023-11-06T22:30:09.841346", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_analyzing_behavior_only_data.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_analyzing_behavior_only_data.ipynb index 472ed4248..b3f6f7d46 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_analyzing_behavior_only_data.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_analyzing_behavior_only_data.ipynb @@ -5,10 +5,10 @@ "id": "030588c0", "metadata": { "papermill": { - "duration": 0.010559, - "end_time": "2023-09-27T22:41:32.364100", + "duration": 0.007803, + "end_time": "2023-11-06T21:12:26.940286", "exception": false, - "start_time": "2023-09-27T22:41:32.353541", + "start_time": "2023-11-06T21:12:26.932483", "status": "completed" }, "tags": [] @@ -35,10 +35,10 @@ "id": "a9c9929e", "metadata": { "papermill": { - "duration": 0.010976, - "end_time": "2023-09-27T22:41:32.385337", + "duration": 0.006431, + "end_time": "2023-11-06T21:12:26.953443", "exception": false, - "start_time": "2023-09-27T22:41:32.374361", + "start_time": "2023-11-06T21:12:26.947012", "status": "completed" }, "tags": [] @@ -55,16 +55,16 @@ "id": "1ea087c1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:32.408897Z", - "iopub.status.busy": "2023-09-27T22:41:32.408257Z", - "iopub.status.idle": "2023-09-27T22:41:40.272078Z", - "shell.execute_reply": "2023-09-27T22:41:40.270998Z" + "iopub.execute_input": "2023-11-06T21:12:26.967742Z", + "iopub.status.busy": "2023-11-06T21:12:26.967248Z", + "iopub.status.idle": "2023-11-06T21:12:32.091265Z", + "shell.execute_reply": "2023-11-06T21:12:32.090535Z" }, "papermill": { - "duration": 7.878183, - "end_time": "2023-09-27T22:41:40.274986", + "duration": 5.133214, + "end_time": "2023-11-06T21:12:32.092985", "exception": false, - "start_time": "2023-09-27T22:41:32.396803", + "start_time": "2023-11-06T21:12:26.959771", "status": "completed" }, "tags": [] @@ -96,16 +96,16 @@ "id": "ae6a6e0b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:40.300863Z", - "iopub.status.busy": "2023-09-27T22:41:40.299393Z", - "iopub.status.idle": "2023-09-27T22:41:40.305194Z", - "shell.execute_reply": "2023-09-27T22:41:40.304211Z" + "iopub.execute_input": "2023-11-06T21:12:32.108242Z", + "iopub.status.busy": "2023-11-06T21:12:32.107500Z", + "iopub.status.idle": "2023-11-06T21:12:32.111299Z", + "shell.execute_reply": "2023-11-06T21:12:32.110624Z" }, "papermill": { - "duration": 0.019944, - "end_time": "2023-09-27T22:41:40.307705", + "duration": 0.012996, + "end_time": "2023-11-06T21:12:32.112745", "exception": false, - "start_time": "2023-09-27T22:41:40.287761", + "start_time": "2023-11-06T21:12:32.099749", "status": "completed" }, "tags": [ @@ -122,10 +122,10 @@ "id": "6808cf44", "metadata": { "papermill": { - "duration": 0.009181, - "end_time": "2023-09-27T22:41:40.356280", + "duration": 0.006333, + "end_time": "2023-11-06T21:12:32.144767", "exception": false, - "start_time": "2023-09-27T22:41:40.347099", + "start_time": "2023-11-06T21:12:32.138434", "status": "completed" }, "tags": [] @@ -140,16 +140,16 @@ "id": "0cfc22fc", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:40.380193Z", - "iopub.status.busy": "2023-09-27T22:41:40.378362Z", - "iopub.status.idle": "2023-09-27T22:41:53.941174Z", - "shell.execute_reply": "2023-09-27T22:41:53.939971Z" + "iopub.execute_input": "2023-11-06T21:12:32.160629Z", + "iopub.status.busy": "2023-11-06T21:12:32.160149Z", + "iopub.status.idle": "2023-11-06T21:12:43.416746Z", + "shell.execute_reply": "2023-11-06T21:12:43.416016Z" }, "papermill": { - "duration": 13.578982, - "end_time": "2023-09-27T22:41:53.944031", + "duration": 11.266096, + "end_time": "2023-11-06T21:12:43.418450", "exception": false, - "start_time": "2023-09-27T22:41:40.365049", + "start_time": "2023-11-06T21:12:32.152354", "status": "completed" }, "tags": [] @@ -159,7 +159,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -167,15 +167,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp37yrtxl8/_downloaded_data.json\n", + "/tmp/tmp8n92h3_j/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.22MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.07MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 16.5MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.11MMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 15.7MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 545kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.39MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 20.0MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 993kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 15.5MMB/s]\n" ] } ], @@ -189,10 +189,10 @@ "id": "da5a95cf", "metadata": { "papermill": { - "duration": 0.014072, - "end_time": "2023-09-27T22:41:53.973222", + "duration": 0.009205, + "end_time": "2023-11-06T21:12:43.437256", "exception": false, - "start_time": "2023-09-27T22:41:53.959150", + "start_time": "2023-11-06T21:12:43.428051", "status": "completed" }, "tags": [] @@ -207,16 +207,16 @@ "id": "e4a95e78", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:54.004812Z", - "iopub.status.busy": "2023-09-27T22:41:54.004174Z", - "iopub.status.idle": "2023-09-27T22:41:54.030774Z", - "shell.execute_reply": "2023-09-27T22:41:54.029467Z" + "iopub.execute_input": "2023-11-06T21:12:43.457818Z", + "iopub.status.busy": "2023-11-06T21:12:43.457160Z", + "iopub.status.idle": "2023-11-06T21:12:43.473996Z", + "shell.execute_reply": "2023-11-06T21:12:43.473141Z" }, "papermill": { - "duration": 0.043989, - "end_time": "2023-09-27T22:41:54.032891", + "duration": 0.028913, + "end_time": "2023-11-06T21:12:43.475500", "exception": false, - "start_time": "2023-09-27T22:41:53.988902", + "start_time": "2023-11-06T21:12:43.446587", "status": "completed" }, "tags": [] @@ -455,10 +455,10 @@ "id": "613472a7", "metadata": { "papermill": { - "duration": 0.015402, - "end_time": "2023-09-27T22:41:54.064888", + "duration": 0.00956, + "end_time": "2023-11-06T21:12:43.494847", "exception": false, - "start_time": "2023-09-27T22:41:54.049486", + "start_time": "2023-11-06T21:12:43.485287", "status": "completed" }, "tags": [] @@ -473,16 +473,16 @@ "id": "0a0671ef", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:54.097265Z", - "iopub.status.busy": "2023-09-27T22:41:54.096619Z", - "iopub.status.idle": "2023-09-27T22:41:54.129883Z", - "shell.execute_reply": "2023-09-27T22:41:54.128788Z" + "iopub.execute_input": "2023-11-06T21:12:43.516153Z", + "iopub.status.busy": "2023-11-06T21:12:43.515456Z", + "iopub.status.idle": "2023-11-06T21:12:43.535003Z", + "shell.execute_reply": "2023-11-06T21:12:43.534199Z" }, "papermill": { - "duration": 0.054333, - "end_time": "2023-09-27T22:41:54.134111", + "duration": 0.031617, + "end_time": "2023-11-06T21:12:43.536457", "exception": false, - "start_time": "2023-09-27T22:41:54.079778", + "start_time": "2023-11-06T21:12:43.504840", "status": "completed" }, "tags": [] @@ -1595,16 +1595,16 @@ "id": "8bb8b483", "metadata": { "execution": { - 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"duration": 0.016396, - "end_time": "2023-09-27T22:41:54.245762", + "duration": 0.010415, + "end_time": "2023-11-06T21:12:43.606389", "exception": false, - "start_time": "2023-09-27T22:41:54.229366", + "start_time": "2023-11-06T21:12:43.595974", "status": "completed" }, "tags": [] @@ -1667,16 +1667,16 @@ "id": "002a9b8f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:41:54.279600Z", - "iopub.status.busy": "2023-09-27T22:41:54.278968Z", - "iopub.status.idle": "2023-09-27T22:42:14.074054Z", - "shell.execute_reply": "2023-09-27T22:42:14.072942Z" + "iopub.execute_input": "2023-11-06T21:12:43.629518Z", + "iopub.status.busy": "2023-11-06T21:12:43.628993Z", + "iopub.status.idle": "2023-11-06T21:12:57.727672Z", + "shell.execute_reply": "2023-11-06T21:12:57.726996Z" }, "papermill": { - "duration": 19.813892, - "end_time": "2023-09-27T22:42:14.076620", + "duration": 14.112311, + "end_time": "2023-11-06T21:12:57.729451", "exception": false, - "start_time": "2023-09-27T22:41:54.262728", + "start_time": "2023-11-06T21:12:43.617140", "status": "completed" }, "tags": [] @@ -1686,7 +1686,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_session_1052316794.nwb: 100%|██████████| 188M/188M [00:13<00:00, 13.9MMB/s]\n", + "behavior_session_1052316794.nwb: 100%|██████████| 188M/188M [00:10<00:00, 18.1MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.5.1 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.5.0 because version 2.6.0-alpha is already loaded.\n", @@ -1705,10 +1705,10 @@ "id": "97d92ab5", "metadata": { "papermill": { - "duration": 0.02358, - "end_time": "2023-09-27T22:42:14.122485", + "duration": 0.012563, + "end_time": "2023-11-06T21:12:57.755591", "exception": false, - "start_time": "2023-09-27T22:42:14.098905", + "start_time": "2023-11-06T21:12:57.743028", "status": "completed" }, "tags": [] @@ -1723,16 +1723,16 @@ "id": "a0e31418", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.168726Z", - "iopub.status.busy": "2023-09-27T22:42:14.167793Z", - "iopub.status.idle": "2023-09-27T22:42:14.175217Z", - "shell.execute_reply": "2023-09-27T22:42:14.174317Z" + "iopub.execute_input": "2023-11-06T21:12:57.782479Z", + "iopub.status.busy": "2023-11-06T21:12:57.781926Z", + "iopub.status.idle": "2023-11-06T21:12:57.787042Z", + "shell.execute_reply": "2023-11-06T21:12:57.786315Z" }, "papermill": { - "duration": 0.032737, - "end_time": "2023-09-27T22:42:14.177272", + "duration": 0.020257, + "end_time": "2023-11-06T21:12:57.788511", "exception": false, - "start_time": "2023-09-27T22:42:14.144535", + "start_time": "2023-11-06T21:12:57.768254", "status": "completed" }, "tags": [] @@ -1773,10 +1773,10 @@ "id": "d53312b1", "metadata": { "papermill": { - "duration": 0.021851, - "end_time": "2023-09-27T22:42:14.222520", + "duration": 0.012894, + "end_time": "2023-11-06T21:12:57.814394", "exception": false, - "start_time": "2023-09-27T22:42:14.200669", + "start_time": "2023-11-06T21:12:57.801500", "status": "completed" }, "tags": [] @@ -1791,16 +1791,16 @@ "id": "de983187", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.269669Z", - "iopub.status.busy": "2023-09-27T22:42:14.268304Z", - "iopub.status.idle": "2023-09-27T22:42:14.275903Z", - "shell.execute_reply": "2023-09-27T22:42:14.274738Z" + "iopub.execute_input": "2023-11-06T21:12:57.841849Z", + "iopub.status.busy": "2023-11-06T21:12:57.841312Z", + "iopub.status.idle": "2023-11-06T21:12:57.845390Z", + "shell.execute_reply": "2023-11-06T21:12:57.844703Z" }, "papermill": { - "duration": 0.033612, - "end_time": "2023-09-27T22:42:14.278324", + "duration": 0.019557, + "end_time": "2023-11-06T21:12:57.846796", "exception": false, - "start_time": "2023-09-27T22:42:14.244712", + "start_time": "2023-11-06T21:12:57.827239", "status": "completed" }, "tags": [] @@ -1815,10 +1815,10 @@ "id": "a39fac08", "metadata": { "papermill": { - "duration": 0.025859, - "end_time": "2023-09-27T22:42:14.327207", + "duration": 0.0127, + "end_time": "2023-11-06T21:12:57.872473", "exception": false, - "start_time": "2023-09-27T22:42:14.301348", + "start_time": "2023-11-06T21:12:57.859773", "status": "completed" }, "tags": [] @@ -1833,16 +1833,16 @@ "id": "759fefbc", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.376459Z", - "iopub.status.busy": "2023-09-27T22:42:14.375878Z", - "iopub.status.idle": "2023-09-27T22:42:14.386288Z", - "shell.execute_reply": "2023-09-27T22:42:14.384966Z" + "iopub.execute_input": "2023-11-06T21:12:57.900385Z", + "iopub.status.busy": "2023-11-06T21:12:57.899737Z", + "iopub.status.idle": "2023-11-06T21:12:57.905691Z", + "shell.execute_reply": "2023-11-06T21:12:57.904985Z" }, "papermill": { - "duration": 0.03745, - "end_time": "2023-09-27T22:42:14.388621", + "duration": 0.021785, + "end_time": "2023-11-06T21:12:57.907179", "exception": false, - "start_time": "2023-09-27T22:42:14.351171", + "start_time": "2023-11-06T21:12:57.885394", "status": "completed" }, "tags": [] @@ -1880,10 +1880,10 @@ "id": "9806173b", "metadata": { "papermill": { - "duration": 0.022686, - "end_time": "2023-09-27T22:42:14.433733", + "duration": 0.012697, + "end_time": "2023-11-06T21:12:57.932902", "exception": false, - "start_time": "2023-09-27T22:42:14.411047", + "start_time": "2023-11-06T21:12:57.920205", "status": "completed" }, "tags": [] @@ -1899,10 +1899,10 @@ "id": "0cf22367", "metadata": { "papermill": { - "duration": 0.02317, - "end_time": "2023-09-27T22:42:14.479148", + "duration": 0.012649, + "end_time": "2023-11-06T21:12:57.958455", "exception": false, - "start_time": "2023-09-27T22:42:14.455978", + "start_time": "2023-11-06T21:12:57.945806", "status": "completed" }, "tags": [] @@ -1918,16 +1918,16 @@ "id": "0ebe20eb", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.528885Z", - "iopub.status.busy": "2023-09-27T22:42:14.527889Z", - "iopub.status.idle": "2023-09-27T22:42:14.551205Z", - "shell.execute_reply": "2023-09-27T22:42:14.550296Z" + "iopub.execute_input": "2023-11-06T21:12:57.985896Z", + "iopub.status.busy": "2023-11-06T21:12:57.985439Z", + "iopub.status.idle": "2023-11-06T21:12:57.999949Z", + "shell.execute_reply": "2023-11-06T21:12:57.999331Z" }, "papermill": { - "duration": 0.050277, - "end_time": "2023-09-27T22:42:14.553486", + "duration": 0.030154, + "end_time": "2023-11-06T21:12:58.001340", "exception": false, - "start_time": "2023-09-27T22:42:14.503209", + "start_time": "2023-11-06T21:12:57.971186", "status": "completed" }, "tags": [] @@ -1968,8 +1968,8 @@ " flashes_since_change\n", " trials_id\n", " active\n", - " is_sham_change\n", " stimulus_name\n", + " is_sham_change\n", " \n", " \n", " stimulus_presentations_id\n", @@ -2008,8 +2008,8 @@ " 0\n", " 0\n", " True\n", - " False\n", " Natural_Images_Lum_Matched_set_ophys_G_2019\n", + " False\n", " \n", " \n", " 1\n", @@ -2027,8 +2027,8 @@ " 1\n", " 0\n", " True\n", - " False\n", " Natural_Images_Lum_Matched_set_ophys_G_2019\n", + " False\n", " \n", " \n", " 2\n", @@ -2046,8 +2046,8 @@ " 2\n", " 0\n", " True\n", - " False\n", " Natural_Images_Lum_Matched_set_ophys_G_2019\n", + " False\n", " \n", " \n", " 3\n", @@ -2065,8 +2065,8 @@ " 3\n", " 0\n", " True\n", - " False\n", " Natural_Images_Lum_Matched_set_ophys_G_2019\n", + " False\n", " \n", " \n", " 4\n", @@ -2084,8 +2084,8 @@ " 4\n", " 0\n", " True\n", - " False\n", " Natural_Images_Lum_Matched_set_ophys_G_2019\n", + " False\n", " \n", " \n", "\n", @@ -2124,21 +2124,21 @@ "3 3 0 True \n", "4 4 0 True \n", "\n", - " is_sham_change \\\n", - "stimulus_presentations_id \n", - "0 False \n", - "1 False \n", - "2 False \n", - "3 False \n", - "4 False \n", + " stimulus_name \\\n", + "stimulus_presentations_id \n", + "0 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", + "1 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", + "2 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", + "3 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", + "4 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", "\n", - " stimulus_name \n", - "stimulus_presentations_id \n", - "0 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", - "1 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", - "2 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", - "3 Natural_Images_Lum_Matched_set_ophys_G_2019 \n", - "4 Natural_Images_Lum_Matched_set_ophys_G_2019 " + " is_sham_change \n", + "stimulus_presentations_id \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False " ] }, "execution_count": 12, @@ -2156,10 +2156,10 @@ "id": "a3d9724d", "metadata": { "papermill": { - "duration": 0.026937, - "end_time": "2023-09-27T22:42:14.603534", + "duration": 0.012847, + "end_time": "2023-11-06T21:12:58.027572", "exception": false, - "start_time": "2023-09-27T22:42:14.576597", + "start_time": "2023-11-06T21:12:58.014725", "status": "completed" }, "tags": [] @@ -2195,10 +2195,10 @@ "id": "be257fb6", "metadata": { "papermill": { - "duration": 0.02889, - "end_time": "2023-09-27T22:42:14.656294", + "duration": 0.01301, + "end_time": "2023-11-06T21:12:58.053160", "exception": false, - "start_time": "2023-09-27T22:42:14.627404", + "start_time": "2023-11-06T21:12:58.040150", "status": "completed" }, "tags": [] @@ -2214,16 +2214,16 @@ "id": "9f1a0b65", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.706809Z", - "iopub.status.busy": "2023-09-27T22:42:14.705901Z", - "iopub.status.idle": "2023-09-27T22:42:14.717103Z", - "shell.execute_reply": "2023-09-27T22:42:14.716214Z" + "iopub.execute_input": "2023-11-06T21:12:58.080748Z", + "iopub.status.busy": "2023-11-06T21:12:58.080130Z", + "iopub.status.idle": "2023-11-06T21:12:58.087764Z", + "shell.execute_reply": "2023-11-06T21:12:58.087040Z" }, "papermill": { - "duration": 0.039315, - "end_time": "2023-09-27T22:42:14.719498", + "duration": 0.023274, + "end_time": "2023-11-06T21:12:58.089226", "exception": false, - "start_time": "2023-09-27T22:42:14.680183", + "start_time": "2023-11-06T21:12:58.065952", "status": "completed" }, "tags": [] @@ -2307,10 +2307,10 @@ "id": "edb21a2c", "metadata": { "papermill": { - "duration": 0.02325, - "end_time": "2023-09-27T22:42:14.765964", + "duration": 0.012529, + "end_time": "2023-11-06T21:12:58.115252", "exception": false, - "start_time": "2023-09-27T22:42:14.742714", + "start_time": "2023-11-06T21:12:58.102723", "status": "completed" }, "tags": [] @@ -2326,16 +2326,16 @@ "id": "86fb5a8d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.813188Z", - "iopub.status.busy": "2023-09-27T22:42:14.812547Z", - "iopub.status.idle": "2023-09-27T22:42:14.825866Z", - "shell.execute_reply": "2023-09-27T22:42:14.824838Z" + "iopub.execute_input": "2023-11-06T21:12:58.142355Z", + "iopub.status.busy": "2023-11-06T21:12:58.141838Z", + "iopub.status.idle": "2023-11-06T21:12:58.150310Z", + "shell.execute_reply": "2023-11-06T21:12:58.149700Z" }, "papermill": { - "duration": 0.039791, - "end_time": "2023-09-27T22:42:14.828157", + "duration": 0.023856, + "end_time": "2023-11-06T21:12:58.151744", "exception": false, - "start_time": "2023-09-27T22:42:14.788366", + "start_time": "2023-11-06T21:12:58.127888", "status": "completed" }, "tags": [] @@ -2425,10 +2425,10 @@ "id": "5d5520e7", "metadata": { "papermill": { - "duration": 0.023898, - "end_time": "2023-09-27T22:42:14.875135", + "duration": 0.01316, + "end_time": "2023-11-06T21:12:58.178360", "exception": false, - "start_time": "2023-09-27T22:42:14.851237", + "start_time": "2023-11-06T21:12:58.165200", "status": "completed" }, "tags": [] @@ -2444,16 +2444,16 @@ "id": "fdd759e6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:14.924648Z", - "iopub.status.busy": "2023-09-27T22:42:14.923579Z", - "iopub.status.idle": "2023-09-27T22:42:14.935589Z", - "shell.execute_reply": "2023-09-27T22:42:14.934401Z" + "iopub.execute_input": "2023-11-06T21:12:58.207242Z", + "iopub.status.busy": "2023-11-06T21:12:58.206653Z", + "iopub.status.idle": "2023-11-06T21:12:58.214071Z", + "shell.execute_reply": "2023-11-06T21:12:58.213337Z" }, "papermill": { - "duration": 0.039233, - "end_time": "2023-09-27T22:42:14.937966", + "duration": 0.02384, + "end_time": "2023-11-06T21:12:58.215676", "exception": false, - "start_time": "2023-09-27T22:42:14.898733", + "start_time": "2023-11-06T21:12:58.191836", "status": "completed" }, "tags": [] @@ -2537,10 +2537,10 @@ "id": "67fc0824", "metadata": { "papermill": { - "duration": 0.027869, - "end_time": "2023-09-27T22:42:14.989552", + "duration": 0.013843, + "end_time": "2023-11-06T21:12:58.243435", "exception": false, - "start_time": "2023-09-27T22:42:14.961683", + "start_time": "2023-11-06T21:12:58.229592", "status": "completed" }, "tags": [] @@ -2554,10 +2554,10 @@ "id": "b241c77a", "metadata": { "papermill": { - "duration": 0.023868, - "end_time": "2023-09-27T22:42:15.036780", + "duration": 0.013585, + "end_time": "2023-11-06T21:12:58.271031", "exception": false, - "start_time": "2023-09-27T22:42:15.012912", + "start_time": "2023-11-06T21:12:58.257446", "status": "completed" }, "tags": [] @@ -2572,16 +2572,16 @@ "id": "a5ba15f7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:15.097113Z", - "iopub.status.busy": "2023-09-27T22:42:15.096199Z", - "iopub.status.idle": "2023-09-27T22:42:15.151985Z", - "shell.execute_reply": "2023-09-27T22:42:15.150739Z" + "iopub.execute_input": "2023-11-06T21:12:58.299675Z", + "iopub.status.busy": "2023-11-06T21:12:58.299159Z", + "iopub.status.idle": "2023-11-06T21:12:58.330223Z", + "shell.execute_reply": "2023-11-06T21:12:58.329440Z" }, "papermill": { - "duration": 0.085698, - "end_time": "2023-09-27T22:42:15.155077", + "duration": 0.047745, + "end_time": "2023-11-06T21:12:58.332138", "exception": false, - "start_time": "2023-09-27T22:42:15.069379", + "start_time": "2023-11-06T21:12:58.284393", "status": "completed" }, "tags": [] @@ -2600,10 +2600,10 @@ "id": "9d7de8ae", "metadata": { "papermill": { - "duration": 0.024976, - "end_time": "2023-09-27T22:42:15.204079", + "duration": 0.012722, + "end_time": "2023-11-06T21:12:58.358329", "exception": false, - "start_time": "2023-09-27T22:42:15.179103", + "start_time": "2023-11-06T21:12:58.345607", "status": "completed" }, "tags": [] @@ -2618,16 +2618,16 @@ "id": "a9998dbe", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:15.257827Z", - "iopub.status.busy": "2023-09-27T22:42:15.257264Z", - "iopub.status.idle": "2023-09-27T22:42:15.268167Z", - "shell.execute_reply": "2023-09-27T22:42:15.267119Z" + "iopub.execute_input": "2023-11-06T21:12:58.386242Z", + "iopub.status.busy": "2023-11-06T21:12:58.385729Z", + "iopub.status.idle": "2023-11-06T21:12:58.392882Z", + "shell.execute_reply": "2023-11-06T21:12:58.392227Z" }, "papermill": { - "duration": 0.043934, - "end_time": "2023-09-27T22:42:15.270683", + "duration": 0.022499, + "end_time": "2023-11-06T21:12:58.394155", "exception": false, - "start_time": "2023-09-27T22:42:15.226749", + "start_time": "2023-11-06T21:12:58.371656", "status": "completed" }, "tags": [] @@ -2702,10 +2702,10 @@ "id": "01ff8229", "metadata": { "papermill": { - "duration": 0.034147, - "end_time": "2023-09-27T22:42:15.330042", + "duration": 0.013591, + "end_time": "2023-11-06T21:12:58.421073", "exception": false, - "start_time": "2023-09-27T22:42:15.295895", + "start_time": "2023-11-06T21:12:58.407482", "status": "completed" }, "tags": [] @@ -2720,16 +2720,16 @@ "id": "0dc214b7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:15.383697Z", - "iopub.status.busy": "2023-09-27T22:42:15.382975Z", - "iopub.status.idle": "2023-09-27T22:42:16.132898Z", - "shell.execute_reply": "2023-09-27T22:42:16.131520Z" + "iopub.execute_input": "2023-11-06T21:12:58.450726Z", + "iopub.status.busy": "2023-11-06T21:12:58.450007Z", + "iopub.status.idle": "2023-11-06T21:12:58.845374Z", + "shell.execute_reply": "2023-11-06T21:12:58.844619Z" }, "papermill": { - "duration": 0.787842, - "end_time": "2023-09-27T22:42:16.142550", + "duration": 0.412133, + "end_time": "2023-11-06T21:12:58.846903", "exception": false, - "start_time": "2023-09-27T22:42:15.354708", + "start_time": "2023-11-06T21:12:58.434770", "status": "completed" }, "scrolled": false, @@ -2780,10 +2780,10 @@ "id": "1b3eb232", "metadata": { "papermill": { - "duration": 0.028628, - "end_time": "2023-09-27T22:42:16.197484", + "duration": 0.014497, + "end_time": "2023-11-06T21:12:58.876505", "exception": false, - "start_time": "2023-09-27T22:42:16.168856", + "start_time": "2023-11-06T21:12:58.862008", "status": "completed" }, "tags": [] @@ -2797,10 +2797,10 @@ "id": "5735de40", "metadata": { "papermill": { - "duration": 0.029809, - "end_time": "2023-09-27T22:42:16.253748", + "duration": 0.014776, + "end_time": "2023-11-06T21:12:58.905953", "exception": false, - "start_time": "2023-09-27T22:42:16.223939", + "start_time": "2023-11-06T21:12:58.891177", "status": "completed" }, "tags": [] @@ -2815,16 +2815,16 @@ "id": "577fc78d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:16.314260Z", - "iopub.status.busy": "2023-09-27T22:42:16.313841Z", - "iopub.status.idle": "2023-09-27T22:42:16.349227Z", - "shell.execute_reply": "2023-09-27T22:42:16.348120Z" + "iopub.execute_input": "2023-11-06T21:12:58.938115Z", + "iopub.status.busy": "2023-11-06T21:12:58.937511Z", + "iopub.status.idle": "2023-11-06T21:12:58.956397Z", + "shell.execute_reply": "2023-11-06T21:12:58.955579Z" }, "papermill": { - "duration": 0.068537, - "end_time": "2023-09-27T22:42:16.351449", + "duration": 0.036696, + "end_time": "2023-11-06T21:12:58.957887", "exception": false, - "start_time": "2023-09-27T22:42:16.282912", + "start_time": "2023-11-06T21:12:58.921191", "status": "completed" }, "scrolled": true, @@ -3084,10 +3084,10 @@ "id": "054ab87a", "metadata": { "papermill": { - 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"duration": 0.081946, - "end_time": "2023-09-27T22:42:18.169548", + "duration": 0.030388, + "end_time": "2023-11-06T21:12:59.741671", "exception": false, - "start_time": "2023-09-27T22:42:18.087602", + "start_time": "2023-11-06T21:12:59.711283", "status": "completed" }, "tags": [] @@ -3365,10 +3365,10 @@ "id": "a28980ee", "metadata": { "papermill": { - "duration": 0.030822, - "end_time": "2023-09-27T22:42:18.231993", + "duration": 0.014792, + "end_time": "2023-11-06T21:12:59.771636", "exception": false, - "start_time": "2023-09-27T22:42:18.201171", + "start_time": "2023-11-06T21:12:59.756844", "status": "completed" }, "tags": [] @@ -3383,16 +3383,16 @@ "id": "2c897286", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:18.293786Z", - "iopub.status.busy": "2023-09-27T22:42:18.292937Z", - "iopub.status.idle": "2023-09-27T22:42:19.288880Z", - "shell.execute_reply": "2023-09-27T22:42:19.287154Z" + "iopub.execute_input": "2023-11-06T21:12:59.803888Z", + "iopub.status.busy": "2023-11-06T21:12:59.803507Z", + "iopub.status.idle": "2023-11-06T21:13:00.258343Z", + "shell.execute_reply": "2023-11-06T21:13:00.257606Z" }, "papermill": { - "duration": 1.032433, - "end_time": "2023-09-27T22:42:19.291454", + "duration": 0.473116, + "end_time": "2023-11-06T21:13:00.259820", "exception": false, - "start_time": "2023-09-27T22:42:18.259021", + "start_time": "2023-11-06T21:12:59.786704", "status": "completed" }, "scrolled": false, @@ -3435,10 +3435,10 @@ "id": "b798d071", "metadata": { "papermill": { - "duration": 0.029616, - "end_time": "2023-09-27T22:42:19.346672", + "duration": 0.015117, + "end_time": "2023-11-06T21:13:00.290383", "exception": false, - "start_time": "2023-09-27T22:42:19.317056", + "start_time": "2023-11-06T21:13:00.275266", "status": "completed" }, "tags": [] @@ -3453,16 +3453,16 @@ "id": "ec18396a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:42:19.411812Z", - "iopub.status.busy": "2023-09-27T22:42:19.410685Z", - "iopub.status.idle": "2023-09-27T22:42:19.435366Z", - "shell.execute_reply": "2023-09-27T22:42:19.434357Z" + "iopub.execute_input": "2023-11-06T21:13:00.322713Z", + "iopub.status.busy": "2023-11-06T21:13:00.322185Z", + "iopub.status.idle": "2023-11-06T21:13:00.334930Z", + "shell.execute_reply": "2023-11-06T21:13:00.334222Z" }, "papermill": { - "duration": 0.065383, - "end_time": "2023-09-27T22:42:19.437563", + "duration": 0.030606, + "end_time": "2023-11-06T21:13:00.336414", "exception": false, - "start_time": "2023-09-27T22:42:19.372180", + "start_time": "2023-11-06T21:13:00.305808", "status": "completed" }, "tags": [] @@ -3585,10 +3585,10 @@ "id": "e253e460", "metadata": { "papermill": { - "duration": 0.027097, - "end_time": "2023-09-27T22:42:19.489849", + "duration": 0.015154, + "end_time": "2023-11-06T21:13:00.367353", "exception": false, - "start_time": "2023-09-27T22:42:19.462752", + "start_time": "2023-11-06T21:13:00.352199", "status": "completed" }, "tags": [] @@ -3618,17 +3618,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 49.304167, - "end_time": "2023-09-27T22:42:20.637665", + "duration": 34.931131, + "end_time": "2023-11-06T21:13:01.101513", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_analyzing_behavior_only_data.ipynb", - "output_path": "/tmp/tmp37yrtxl8/scratch_nb.ipynb", + "output_path": "/tmp/tmp8n92h3_j/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp37yrtxl8", + "output_dir": "/tmp/tmp8n92h3_j", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:41:31.333498", + "start_time": "2023-11-06T21:12:26.170382", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb index 326f85432..4d90106c4 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb @@ -5,10 +5,10 @@ "id": "6eac13f8", "metadata": { "papermill": { - "duration": 0.018371, - "end_time": "2023-09-27T20:59:34.040544", + "duration": 0.010031, + "end_time": "2023-11-06T21:57:29.042480", "exception": false, - "start_time": "2023-09-27T20:59:34.022173", + "start_time": "2023-11-06T21:57:29.032449", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "bf750919", "metadata": { "papermill": { - "duration": 0.014549, - "end_time": "2023-09-27T20:59:34.068980", + "duration": 0.009678, + "end_time": "2023-11-06T21:57:29.061341", "exception": false, - "start_time": "2023-09-27T20:59:34.054431", + "start_time": "2023-11-06T21:57:29.051663", "status": "completed" }, "pycharm": { @@ -51,10 +51,10 @@ "id": "01a7f135", "metadata": { "papermill": { - "duration": 0.014236, - "end_time": "2023-09-27T20:59:34.097872", + "duration": 0.008777, + "end_time": "2023-11-06T21:57:29.079197", "exception": false, - "start_time": "2023-09-27T20:59:34.083636", + "start_time": "2023-11-06T21:57:29.070420", "status": "completed" }, "pycharm": { @@ -75,10 +75,10 @@ "id": "04404969", "metadata": { "papermill": { - "duration": 0.012472, - "end_time": "2023-09-27T20:59:34.122927", + "duration": 0.008659, + "end_time": "2023-11-06T21:57:29.096870", "exception": false, - "start_time": "2023-09-27T20:59:34.110455", + "start_time": "2023-11-06T21:57:29.088211", "status": "completed" }, "pycharm": { @@ -109,10 +109,10 @@ "id": "c9962815", "metadata": { "papermill": { - "duration": 0.012619, - "end_time": "2023-09-27T20:59:34.148997", + "duration": 0.009022, + "end_time": "2023-11-06T21:57:29.114631", "exception": false, - "start_time": "2023-09-27T20:59:34.136378", + "start_time": "2023-11-06T21:57:29.105609", "status": "completed" }, "pycharm": { @@ -129,10 +129,10 @@ "id": "82546c42", "metadata": { "papermill": { - "duration": 0.01203, - "end_time": "2023-09-27T20:59:34.174907", + "duration": 0.008679, + "end_time": "2023-11-06T21:57:29.132270", "exception": false, - "start_time": "2023-09-27T20:59:34.162877", + "start_time": "2023-11-06T21:57:29.123591", "status": "completed" }, "pycharm": { @@ -150,16 +150,16 @@ "id": "7a03b5d1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:34.203643Z", - "iopub.status.busy": "2023-09-27T20:59:34.202589Z", - "iopub.status.idle": "2023-09-27T20:59:37.479796Z", - "shell.execute_reply": "2023-09-27T20:59:37.478493Z" + "iopub.execute_input": "2023-11-06T21:57:29.151299Z", + "iopub.status.busy": "2023-11-06T21:57:29.151018Z", + "iopub.status.idle": "2023-11-06T21:57:31.312130Z", + "shell.execute_reply": "2023-11-06T21:57:31.311350Z" }, "papermill": { - "duration": 3.294443, - "end_time": "2023-09-27T20:59:37.483052", + "duration": 2.17304, + "end_time": "2023-11-06T21:57:31.314046", "exception": false, - "start_time": "2023-09-27T20:59:34.188609", + "start_time": "2023-11-06T21:57:29.141006", "status": "completed" }, "pycharm": { @@ -173,9 +173,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -186,33 +186,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -220,14 +220,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -235,29 +235,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -270,10 +270,10 @@ "id": "ee59e9f7", "metadata": { "papermill": { - "duration": 0.013736, - "end_time": "2023-09-27T20:59:37.511320", + "duration": 0.009864, + "end_time": "2023-11-06T21:57:31.334102", "exception": false, - "start_time": "2023-09-27T20:59:37.497584", + "start_time": "2023-11-06T21:57:31.324238", "status": "completed" }, "pycharm": { @@ -290,10 +290,10 @@ "id": "5ec0e747", "metadata": { "papermill": { - "duration": 0.013085, - "end_time": "2023-09-27T20:59:37.537391", + "duration": 0.009955, + "end_time": "2023-11-06T21:57:31.353728", "exception": false, - "start_time": "2023-09-27T20:59:37.524306", + "start_time": "2023-11-06T21:57:31.343773", "status": "completed" }, "pycharm": { @@ -314,16 +314,16 @@ "id": "5a360236", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:37.565338Z", - "iopub.status.busy": "2023-09-27T20:59:37.564682Z", - "iopub.status.idle": "2023-09-27T20:59:43.640197Z", - "shell.execute_reply": "2023-09-27T20:59:43.638645Z" + "iopub.execute_input": "2023-11-06T21:57:31.374950Z", + "iopub.status.busy": "2023-11-06T21:57:31.374213Z", + "iopub.status.idle": "2023-11-06T21:57:35.348342Z", + "shell.execute_reply": "2023-11-06T21:57:35.347641Z" }, "papermill": { - "duration": 6.092925, - "end_time": "2023-09-27T20:59:43.643141", + "duration": 3.987113, + "end_time": "2023-11-06T21:57:35.350281", "exception": false, - "start_time": "2023-09-27T20:59:37.550216", + "start_time": "2023-11-06T21:57:31.363168", "status": "completed" }, "pycharm": { @@ -336,11 +336,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -351,33 +351,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -385,14 +385,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -400,29 +400,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -436,10 +436,10 @@ "id": "a504e881", "metadata": { "papermill": { - "duration": 0.015665, - "end_time": "2023-09-27T20:59:43.675897", + "duration": 0.010742, + "end_time": "2023-11-06T21:57:35.372292", "exception": false, - "start_time": "2023-09-27T20:59:43.660232", + "start_time": "2023-11-06T21:57:35.361550", "status": "completed" }, "pycharm": { @@ -457,16 +457,16 @@ "id": "6b741021", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:43.716771Z", - "iopub.status.busy": "2023-09-27T20:59:43.716373Z", - "iopub.status.idle": "2023-09-27T20:59:51.244322Z", - "shell.execute_reply": "2023-09-27T20:59:51.242939Z" + "iopub.execute_input": "2023-11-06T21:57:35.395465Z", + "iopub.status.busy": "2023-11-06T21:57:35.394801Z", + "iopub.status.idle": "2023-11-06T21:57:40.381573Z", + "shell.execute_reply": "2023-11-06T21:57:40.380877Z" }, "papermill": { - "duration": 7.551498, - "end_time": "2023-09-27T20:59:51.246589", + "duration": 5.000091, + "end_time": "2023-11-06T21:57:40.383161", "exception": false, - "start_time": "2023-09-27T20:59:43.695091", + "start_time": "2023-11-06T21:57:35.383070", "status": "completed" }, "pycharm": { @@ -507,10 +507,10 @@ "id": "4201d911", "metadata": { "papermill": { - "duration": 0.015377, - "end_time": "2023-09-27T20:59:51.278657", + "duration": 0.010508, + "end_time": "2023-11-06T21:57:40.404738", "exception": false, - "start_time": "2023-09-27T20:59:51.263280", + "start_time": "2023-11-06T21:57:40.394230", "status": "completed" }, "pycharm": { @@ -528,16 +528,16 @@ "id": "6df5a6a9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:51.322372Z", - "iopub.status.busy": "2023-09-27T20:59:51.321156Z", - "iopub.status.idle": "2023-09-27T20:59:51.326045Z", - "shell.execute_reply": "2023-09-27T20:59:51.325217Z" + "iopub.execute_input": "2023-11-06T21:57:40.427277Z", + "iopub.status.busy": "2023-11-06T21:57:40.426481Z", + "iopub.status.idle": "2023-11-06T21:57:40.430114Z", + "shell.execute_reply": "2023-11-06T21:57:40.429493Z" }, "papermill": { - "duration": 0.033767, - "end_time": "2023-09-27T20:59:51.328245", + "duration": 0.01651, + "end_time": "2023-11-06T21:57:40.431553", "exception": false, - "start_time": "2023-09-27T20:59:51.294478", + "start_time": "2023-11-06T21:57:40.415043", "status": "completed" }, "pycharm": { @@ -560,16 +560,16 @@ "id": "76e86ff5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:59:51.401335Z", - "iopub.status.busy": "2023-09-27T20:59:51.400381Z", - "iopub.status.idle": "2023-09-27T21:00:03.446182Z", - "shell.execute_reply": "2023-09-27T21:00:03.445098Z" + "iopub.execute_input": "2023-11-06T21:57:40.481397Z", + "iopub.status.busy": "2023-11-06T21:57:40.480926Z", + "iopub.status.idle": "2023-11-06T21:57:50.591799Z", + "shell.execute_reply": "2023-11-06T21:57:50.591117Z" }, "papermill": { - "duration": 12.067832, - "end_time": "2023-09-27T21:00:03.448766", + "duration": 10.123602, + "end_time": "2023-11-06T21:57:50.593216", "exception": false, - "start_time": "2023-09-27T20:59:51.380934", + "start_time": "2023-11-06T21:57:40.469614", "status": "completed" }, "pycharm": { @@ -582,7 +582,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -590,15 +590,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpi2dti0_4/_downloaded_data.json\n", + "/tmp/tmp_8sv3emk/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 667kMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.08MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 20.1MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.06MMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 16.0MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 561kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.37MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:05<00:00, 22.3MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.01MMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 18.0MMB/s]\n" ] } ], @@ -612,10 +612,10 @@ "id": "8827f014", "metadata": { "papermill": { - "duration": 0.020817, - "end_time": "2023-09-27T21:00:03.491533", + "duration": 0.013189, + "end_time": "2023-11-06T21:57:50.620148", "exception": false, - "start_time": "2023-09-27T21:00:03.470716", + "start_time": "2023-11-06T21:57:50.606959", "status": "completed" }, "pycharm": { @@ -642,10 +642,10 @@ "id": "ae48a02c", "metadata": { "papermill": { - "duration": 0.021065, - "end_time": "2023-09-27T21:00:03.534464", + "duration": 0.013195, + "end_time": "2023-11-06T21:57:50.646577", "exception": false, - "start_time": "2023-09-27T21:00:03.513399", + "start_time": "2023-11-06T21:57:50.633382", "status": "completed" }, "pycharm": { @@ -666,10 +666,10 @@ "id": "1a9df3a1", "metadata": { "papermill": { - "duration": 0.022605, - "end_time": "2023-09-27T21:00:03.581316", + "duration": 0.013008, + "end_time": "2023-11-06T21:57:50.672983", "exception": false, - "start_time": "2023-09-27T21:00:03.558711", + "start_time": "2023-11-06T21:57:50.659975", "status": "completed" }, "pycharm": { @@ -689,16 +689,16 @@ "id": "e9043603", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:03.625362Z", - "iopub.status.busy": "2023-09-27T21:00:03.624195Z", - "iopub.status.idle": "2023-09-27T21:00:03.635300Z", - "shell.execute_reply": "2023-09-27T21:00:03.634427Z" + "iopub.execute_input": "2023-11-06T21:57:50.700969Z", + "iopub.status.busy": "2023-11-06T21:57:50.700375Z", + "iopub.status.idle": "2023-11-06T21:57:50.707674Z", + "shell.execute_reply": "2023-11-06T21:57:50.706989Z" }, "papermill": { - "duration": 0.036005, - "end_time": "2023-09-27T21:00:03.638741", + "duration": 0.023037, + "end_time": "2023-11-06T21:57:50.709060", "exception": false, - "start_time": "2023-09-27T21:00:03.602736", + "start_time": "2023-11-06T21:57:50.686023", "status": "completed" }, "pycharm": { @@ -730,10 +730,10 @@ "id": "2ba3f1b8", "metadata": { "papermill": { - "duration": 0.020529, - "end_time": "2023-09-27T21:00:03.681595", + "duration": 0.013049, + "end_time": "2023-11-06T21:57:50.735584", "exception": false, - "start_time": "2023-09-27T21:00:03.661066", + "start_time": "2023-11-06T21:57:50.722535", "status": "completed" }, "pycharm": { @@ -751,16 +751,16 @@ "id": "5613bef1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:03.725390Z", - "iopub.status.busy": "2023-09-27T21:00:03.724502Z", - "iopub.status.idle": "2023-09-27T21:00:03.731596Z", - "shell.execute_reply": "2023-09-27T21:00:03.730640Z" + "iopub.execute_input": "2023-11-06T21:57:50.763910Z", + "iopub.status.busy": "2023-11-06T21:57:50.763271Z", + "iopub.status.idle": "2023-11-06T21:57:50.768423Z", + "shell.execute_reply": "2023-11-06T21:57:50.767772Z" }, "papermill": { - "duration": 0.032033, - "end_time": "2023-09-27T21:00:03.733861", + "duration": 0.021401, + "end_time": "2023-11-06T21:57:50.769936", "exception": false, - "start_time": "2023-09-27T21:00:03.701828", + "start_time": "2023-11-06T21:57:50.748535", "status": "completed" }, "pycharm": { @@ -789,10 +789,10 @@ "id": "3a0d6d99", "metadata": { "papermill": { - "duration": 0.020776, - "end_time": "2023-09-27T21:00:03.777501", + "duration": 0.013579, + "end_time": "2023-11-06T21:57:50.797441", "exception": false, - "start_time": "2023-09-27T21:00:03.756725", + "start_time": "2023-11-06T21:57:50.783862", "status": "completed" }, "pycharm": { @@ -810,16 +810,16 @@ "id": "7283cb73", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:03.823853Z", - "iopub.status.busy": "2023-09-27T21:00:03.822880Z", - "iopub.status.idle": "2023-09-27T21:00:03.829983Z", - "shell.execute_reply": "2023-09-27T21:00:03.828851Z" + "iopub.execute_input": "2023-11-06T21:57:50.826462Z", + "iopub.status.busy": "2023-11-06T21:57:50.825805Z", + "iopub.status.idle": "2023-11-06T21:57:50.830825Z", + "shell.execute_reply": "2023-11-06T21:57:50.830237Z" }, "papermill": { - "duration": 0.033356, - "end_time": "2023-09-27T21:00:03.832538", + "duration": 0.021061, + "end_time": "2023-11-06T21:57:50.832282", "exception": false, - "start_time": "2023-09-27T21:00:03.799182", + "start_time": "2023-11-06T21:57:50.811221", "status": "completed" }, "pycharm": { @@ -848,10 +848,10 @@ "id": "ef88f02d", "metadata": { "papermill": { - "duration": 0.023021, - "end_time": "2023-09-27T21:00:03.878109", + "duration": 0.012973, + "end_time": "2023-11-06T21:57:50.859036", "exception": false, - "start_time": "2023-09-27T21:00:03.855088", + "start_time": "2023-11-06T21:57:50.846063", "status": "completed" }, "pycharm": { @@ -869,16 +869,16 @@ "id": "04b4fb64", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:03.927574Z", - "iopub.status.busy": "2023-09-27T21:00:03.926932Z", - "iopub.status.idle": "2023-09-27T21:00:03.934978Z", - "shell.execute_reply": "2023-09-27T21:00:03.933774Z" + "iopub.execute_input": "2023-11-06T21:57:50.887275Z", + "iopub.status.busy": "2023-11-06T21:57:50.886766Z", + "iopub.status.idle": "2023-11-06T21:57:50.891487Z", + "shell.execute_reply": "2023-11-06T21:57:50.890910Z" }, "papermill": { - "duration": 0.035522, - "end_time": "2023-09-27T21:00:03.937120", + "duration": 0.020774, + "end_time": "2023-11-06T21:57:50.892860", "exception": false, - "start_time": "2023-09-27T21:00:03.901598", + "start_time": "2023-11-06T21:57:50.872086", "status": "completed" }, "pycharm": { @@ -907,10 +907,10 @@ "id": "a7c54c94", "metadata": { "papermill": { - "duration": 0.02289, - "end_time": "2023-09-27T21:00:03.982155", + "duration": 0.013371, + "end_time": "2023-11-06T21:57:50.919893", "exception": false, - "start_time": "2023-09-27T21:00:03.959265", + "start_time": "2023-11-06T21:57:50.906522", "status": "completed" }, "pycharm": { @@ -936,16 +936,16 @@ "id": "fb97e162", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:04.026356Z", - "iopub.status.busy": "2023-09-27T21:00:04.025667Z", - "iopub.status.idle": "2023-09-27T21:00:04.032413Z", - "shell.execute_reply": "2023-09-27T21:00:04.031463Z" + "iopub.execute_input": "2023-11-06T21:57:50.948412Z", + "iopub.status.busy": "2023-11-06T21:57:50.947766Z", + "iopub.status.idle": "2023-11-06T21:57:50.952453Z", + "shell.execute_reply": "2023-11-06T21:57:50.951803Z" }, "papermill": { - "duration": 0.031555, - "end_time": "2023-09-27T21:00:04.034996", + "duration": 0.020772, + "end_time": "2023-11-06T21:57:50.953960", "exception": false, - "start_time": "2023-09-27T21:00:04.003441", + "start_time": "2023-11-06T21:57:50.933188", "status": "completed" }, "pycharm": { @@ -974,10 +974,10 @@ "id": "e622264b", "metadata": { "papermill": { - "duration": 0.02394, - "end_time": "2023-09-27T21:00:04.080902", + "duration": 0.013164, + "end_time": "2023-11-06T21:57:50.981062", "exception": false, - "start_time": "2023-09-27T21:00:04.056962", + "start_time": "2023-11-06T21:57:50.967898", "status": "completed" }, "pycharm": { @@ -995,16 +995,16 @@ "id": "ac47867c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:04.130949Z", - "iopub.status.busy": "2023-09-27T21:00:04.129638Z", - "iopub.status.idle": "2023-09-27T21:00:14.351401Z", - "shell.execute_reply": "2023-09-27T21:00:14.350364Z" + "iopub.execute_input": "2023-11-06T21:57:51.009592Z", + "iopub.status.busy": "2023-11-06T21:57:51.008980Z", + "iopub.status.idle": "2023-11-06T21:57:59.623774Z", + "shell.execute_reply": "2023-11-06T21:57:59.623081Z" }, "papermill": { - "duration": 10.247736, - "end_time": "2023-09-27T21:00:14.353835", + "duration": 8.631121, + "end_time": "2023-11-06T21:57:59.625543", "exception": false, - "start_time": "2023-09-27T21:00:04.106099", + "start_time": "2023-11-06T21:57:50.994422", "status": "completed" }, "pycharm": { @@ -1017,7 +1017,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:492: OutdatedManifestWarning: \n", "\n", "The manifest file you are loading is not the most up to date manifest file available for this dataset. The most up to data manifest file available for this dataset is \n", "\n", @@ -1037,10 +1037,10 @@ "\n", "\n", " warnings.warn(msg, OutdatedManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 63.5k/63.5k [00:00<00:00, 803kMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 531k/531k [00:00<00:00, 2.46MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 17.4MMB/s]\n", - "probes.csv: 100%|██████████| 127k/127k [00:00<00:00, 1.07MMB/s] \n" + "ecephys_sessions.csv: 100%|██████████| 63.5k/63.5k [00:00<00:00, 797kMB/s]\n", + "behavior_sessions.csv: 100%|██████████| 531k/531k [00:00<00:00, 3.88MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 19.6MMB/s]\n", + "probes.csv: 100%|██████████| 127k/127k [00:00<00:00, 959kMB/s] \n" ] } ], @@ -1054,16 +1054,16 @@ "id": "28d01735", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:00:14.411803Z", - "iopub.status.busy": "2023-09-27T21:00:14.411450Z", - "iopub.status.idle": "2023-09-27T21:00:14.417908Z", - "shell.execute_reply": "2023-09-27T21:00:14.416925Z" + "iopub.execute_input": "2023-11-06T21:57:59.659016Z", + "iopub.status.busy": "2023-11-06T21:57:59.658479Z", + "iopub.status.idle": "2023-11-06T21:57:59.663333Z", + "shell.execute_reply": "2023-11-06T21:57:59.662604Z" }, "papermill": { - "duration": 0.039727, - "end_time": "2023-09-27T21:00:14.419919", + "duration": 0.023065, + "end_time": "2023-11-06T21:57:59.664696", "exception": false, - "start_time": "2023-09-27T21:00:14.380192", + "start_time": "2023-11-06T21:57:59.641631", "status": "completed" }, "pycharm": { @@ -1092,10 +1092,10 @@ "id": "b77392c7", "metadata": { "papermill": { - "duration": 0.025277, - "end_time": "2023-09-27T21:00:14.469981", + "duration": 0.015617, + "end_time": "2023-11-06T21:57:59.696497", "exception": false, - "start_time": "2023-09-27T21:00:14.444704", + "start_time": "2023-11-06T21:57:59.680880", "status": "completed" }, "pycharm": { @@ -1113,16 +1113,16 @@ "id": "75ff8702", "metadata": { "execution": { - 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"iopub.execute_input": "2023-09-27T21:03:15.036785Z", - "iopub.status.busy": "2023-09-27T21:03:15.036042Z", - "iopub.status.idle": "2023-09-27T21:03:15.042792Z", - "shell.execute_reply": "2023-09-27T21:03:15.041855Z" + "iopub.execute_input": "2023-11-06T22:00:10.113743Z", + "iopub.status.busy": "2023-11-06T22:00:10.113236Z", + "iopub.status.idle": "2023-11-06T22:00:10.117676Z", + "shell.execute_reply": "2023-11-06T22:00:10.116956Z" }, "papermill": { - "duration": 0.090764, - "end_time": "2023-09-27T21:03:15.045093", + "duration": 0.052439, + "end_time": "2023-11-06T22:00:10.119266", "exception": false, - "start_time": "2023-09-27T21:03:14.954329", + "start_time": "2023-11-06T22:00:10.066827", "status": "completed" }, "pycharm": { @@ -3219,16 +3219,16 @@ "id": "85b08e04", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:03:15.212785Z", - "iopub.status.busy": "2023-09-27T21:03:15.211440Z", - "iopub.status.idle": "2023-09-27T21:03:15.218670Z", - "shell.execute_reply": "2023-09-27T21:03:15.217592Z" + "iopub.execute_input": "2023-11-06T22:00:10.211383Z", + "iopub.status.busy": "2023-11-06T22:00:10.211110Z", + "iopub.status.idle": "2023-11-06T22:00:10.215381Z", + "shell.execute_reply": "2023-11-06T22:00:10.214576Z" }, "papermill": { - "duration": 0.095422, - "end_time": "2023-09-27T21:03:15.221054", + "duration": 0.051666, + "end_time": "2023-11-06T22:00:10.216882", "exception": false, - "start_time": "2023-09-27T21:03:15.125632", + "start_time": "2023-11-06T22:00:10.165216", "status": "completed" }, "pycharm": { @@ -3261,16 +3261,16 @@ "id": "48725404", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:03:15.388979Z", - "iopub.status.busy": "2023-09-27T21:03:15.388127Z", - "iopub.status.idle": "2023-09-27T21:03:15.394743Z", - "shell.execute_reply": "2023-09-27T21:03:15.393789Z" + "iopub.execute_input": "2023-11-06T22:00:10.310533Z", + "iopub.status.busy": "2023-11-06T22:00:10.310250Z", + "iopub.status.idle": "2023-11-06T22:00:10.314623Z", + "shell.execute_reply": "2023-11-06T22:00:10.313930Z" }, "papermill": { - "duration": 0.090456, - "end_time": "2023-09-27T21:03:15.397650", + "duration": 0.052985, + "end_time": "2023-11-06T22:00:10.316149", "exception": false, - "start_time": "2023-09-27T21:03:15.307194", + "start_time": "2023-11-06T22:00:10.263164", "status": "completed" }, "pycharm": { @@ -3302,10 +3302,10 @@ "id": "baa0a0b9", "metadata": { "papermill": { - "duration": 0.077506, - "end_time": "2023-09-27T21:03:15.551884", + "duration": 0.046045, + "end_time": "2023-11-06T22:00:10.408378", "exception": false, - "start_time": "2023-09-27T21:03:15.474378", + "start_time": "2023-11-06T22:00:10.362333", "status": "completed" }, "pycharm": { @@ -3365,16 +3365,16 @@ "id": "680f6a45", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:03:15.709722Z", - "iopub.status.busy": "2023-09-27T21:03:15.708999Z", - "iopub.status.idle": "2023-09-27T21:03:15.846617Z", - "shell.execute_reply": "2023-09-27T21:03:15.845681Z" + "iopub.execute_input": "2023-11-06T22:00:10.502406Z", + "iopub.status.busy": "2023-11-06T22:00:10.502125Z", + "iopub.status.idle": "2023-11-06T22:00:10.584585Z", + "shell.execute_reply": "2023-11-06T22:00:10.583864Z" }, "papermill": { - "duration": 0.226249, - "end_time": "2023-09-27T21:03:15.856965", + "duration": 0.136409, + "end_time": "2023-11-06T22:00:10.591140", "exception": false, - "start_time": "2023-09-27T21:03:15.630716", + "start_time": "2023-11-06T22:00:10.454731", "status": "completed" }, "pycharm": { @@ -7746,18 +7746,18 @@ }, "papermill": { "default_parameters": {}, - "duration": 224.3304, - "end_time": "2023-09-27T21:03:17.187892", + "duration": 163.250201, + "end_time": "2023-11-06T22:00:11.564705", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_data_access.ipynb", - "output_path": "/tmp/tmpi2dti0_4/scratch_nb.ipynb", + "output_path": "/tmp/tmp_8sv3emk/scratch_nb.ipynb", "parameters": { "DOWNLOAD_COMPLETE_DATASET": false, - "output_dir": "/tmp/tmpi2dti0_4", + "output_dir": "/tmp/tmp_8sv3emk", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T20:59:32.857492", + "start_time": "2023-11-06T21:57:28.314504", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb index df40e1310..f279ab98d 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_dataset_manifest.ipynb @@ -5,10 +5,10 @@ "id": "84fd1001", "metadata": { "papermill": { - "duration": 0.017606, - "end_time": "2023-09-27T20:10:37.906918", + "duration": 0.010829, + "end_time": "2023-11-06T22:15:41.045549", "exception": false, - "start_time": "2023-09-27T20:10:37.889312", + "start_time": "2023-11-06T22:15:41.034720", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "7ccbca6e", "metadata": { "papermill": { - "duration": 0.014398, - "end_time": "2023-09-27T20:10:37.937478", + "duration": 0.010581, + "end_time": "2023-11-06T22:15:41.066248", "exception": false, - "start_time": "2023-09-27T20:10:37.923080", + "start_time": "2023-11-06T22:15:41.055667", "status": "completed" }, "pycharm": { @@ -55,10 +55,10 @@ "id": "6060bfd4", "metadata": { "papermill": { - "duration": 0.014588, - "end_time": "2023-09-27T20:10:37.969195", + "duration": 0.009748, + "end_time": "2023-11-06T22:15:41.086128", "exception": false, - "start_time": "2023-09-27T20:10:37.954607", + "start_time": "2023-11-06T22:15:41.076380", "status": "completed" }, "pycharm": { @@ -75,10 +75,10 @@ "id": "c6cbc613", "metadata": { "papermill": { - "duration": 0.013451, - "end_time": "2023-09-27T20:10:37.996480", + "duration": 0.010227, + "end_time": "2023-11-06T22:15:41.106360", "exception": false, - "start_time": "2023-09-27T20:10:37.983029", + "start_time": "2023-11-06T22:15:41.096133", "status": "completed" }, "pycharm": { @@ -96,16 +96,16 @@ "id": "a4a73988", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:10:38.030979Z", - "iopub.status.busy": "2023-09-27T20:10:38.030477Z", - "iopub.status.idle": "2023-09-27T20:10:41.312325Z", - "shell.execute_reply": "2023-09-27T20:10:41.311024Z" + "iopub.execute_input": "2023-11-06T22:15:41.127759Z", + "iopub.status.busy": "2023-11-06T22:15:41.127462Z", + "iopub.status.idle": "2023-11-06T22:15:43.326896Z", + "shell.execute_reply": "2023-11-06T22:15:43.326151Z" }, "papermill": { - "duration": 3.303249, - "end_time": "2023-09-27T20:10:41.315068", + "duration": 2.212395, + "end_time": "2023-11-06T22:15:43.328718", "exception": false, - "start_time": "2023-09-27T20:10:38.011819", + "start_time": "2023-11-06T22:15:41.116323", "status": "completed" }, "pycharm": { @@ -119,9 +119,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -132,33 +132,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -166,14 +166,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -181,32 +181,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n", - "\r\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\r\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -219,10 +216,10 @@ "id": "8fdbaa9c", "metadata": { "papermill": { - "duration": 0.017387, - "end_time": "2023-09-27T20:10:41.349545", + "duration": 0.010989, + "end_time": "2023-11-06T22:15:43.351396", "exception": false, - "start_time": "2023-09-27T20:10:41.332158", + "start_time": "2023-11-06T22:15:43.340407", "status": "completed" }, "pycharm": { @@ -239,10 +236,10 @@ "id": "148b467a", "metadata": { "papermill": { - "duration": 0.016592, - "end_time": "2023-09-27T20:10:41.381944", + "duration": 0.010673, + "end_time": "2023-11-06T22:15:43.372988", "exception": false, - "start_time": "2023-09-27T20:10:41.365352", + "start_time": "2023-11-06T22:15:43.362315", "status": "completed" }, "pycharm": { @@ -263,16 +260,16 @@ "id": "b2366c72", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:10:41.417289Z", - "iopub.status.busy": "2023-09-27T20:10:41.416335Z", - "iopub.status.idle": "2023-09-27T20:10:49.384552Z", - "shell.execute_reply": "2023-09-27T20:10:49.383323Z" + "iopub.execute_input": "2023-11-06T22:15:43.397208Z", + "iopub.status.busy": "2023-11-06T22:15:43.396594Z", + "iopub.status.idle": "2023-11-06T22:15:47.399450Z", + "shell.execute_reply": "2023-11-06T22:15:47.398717Z" }, "papermill": { - "duration": 7.989678, - "end_time": "2023-09-27T20:10:49.387410", + "duration": 4.017305, + "end_time": "2023-11-06T22:15:47.401230", "exception": false, - "start_time": "2023-09-27T20:10:41.397732", + "start_time": "2023-11-06T22:15:43.383925", "status": "completed" }, "pycharm": { @@ -285,22 +282,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.0.1)\r\n", - "Collecting pip\r\n", - " Obtaining dependency information for pip from https://files.pythonhosted.org/packages/50/c2/e06851e8cc28dcad7c155f4753da8833ac06a5c704c109313b8d5a62968a/pip-23.2.1-py3-none-any.whl.metadata\r\n", - " Downloading pip-23.2.1-py3-none-any.whl.metadata (4.2 kB)\r\n", - "Downloading pip-23.2.1-py3-none-any.whl (2.1 MB)\r\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m20.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n", - "\u001b[?25hInstalling collected packages: pip\r\n", - " Attempting uninstall: pip\r\n", - " Found existing installation: pip 23.0.1\r\n", - " Uninstalling pip-23.0.1:\r\n", - " Successfully uninstalled pip-23.0.1\r\n", - "Successfully installed pip-23.2.1\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -311,33 +297,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -345,14 +331,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -360,29 +346,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -396,10 +382,10 @@ "id": "4af0fcb7", "metadata": { "papermill": { - "duration": 0.017409, - "end_time": "2023-09-27T20:10:49.429893", + "duration": 0.011284, + "end_time": "2023-11-06T22:15:47.424381", "exception": false, - "start_time": "2023-09-27T20:10:49.412484", + "start_time": "2023-11-06T22:15:47.413097", "status": "completed" }, "pycharm": { @@ -417,16 +403,16 @@ "id": "c8d7a12e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:10:49.469637Z", - "iopub.status.busy": "2023-09-27T20:10:49.468931Z", - "iopub.status.idle": "2023-09-27T20:10:56.795349Z", - "shell.execute_reply": "2023-09-27T20:10:56.794116Z" + "iopub.execute_input": "2023-11-06T22:15:47.449056Z", + "iopub.status.busy": "2023-11-06T22:15:47.448781Z", + "iopub.status.idle": "2023-11-06T22:15:52.156338Z", + "shell.execute_reply": "2023-11-06T22:15:52.155641Z" }, "papermill": { - "duration": 7.350072, - "end_time": "2023-09-27T20:10:56.797926", + "duration": 4.722045, + "end_time": "2023-11-06T22:15:52.158030", "exception": false, - "start_time": "2023-09-27T20:10:49.447854", + "start_time": "2023-11-06T22:15:47.435985", "status": "completed" }, "pycharm": { @@ -460,10 +446,10 @@ "id": "ecf6f957", "metadata": { "papermill": { - "duration": 0.022726, - "end_time": "2023-09-27T20:10:56.845430", + "duration": 0.011306, + "end_time": "2023-11-06T22:15:52.181332", "exception": false, - "start_time": "2023-09-27T20:10:56.822704", + "start_time": "2023-11-06T22:15:52.170026", "status": "completed" }, "pycharm": { @@ -481,16 +467,16 @@ "id": "cce05847", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:10:56.884203Z", - "iopub.status.busy": "2023-09-27T20:10:56.882994Z", - "iopub.status.idle": "2023-09-27T20:10:56.887888Z", - "shell.execute_reply": "2023-09-27T20:10:56.887039Z" + "iopub.execute_input": "2023-11-06T22:15:52.205354Z", + "iopub.status.busy": "2023-11-06T22:15:52.204695Z", + "iopub.status.idle": "2023-11-06T22:15:52.208120Z", + "shell.execute_reply": "2023-11-06T22:15:52.207408Z" }, "papermill": { - "duration": 0.025986, - "end_time": "2023-09-27T20:10:56.889971", + "duration": 0.016974, + "end_time": "2023-11-06T22:15:52.209496", "exception": false, - "start_time": "2023-09-27T20:10:56.863985", + "start_time": "2023-11-06T22:15:52.192522", "status": "completed" }, "pycharm": { @@ -512,16 +498,16 @@ "id": "fa821481", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:10:56.977780Z", - "iopub.status.busy": "2023-09-27T20:10:56.976608Z", - "iopub.status.idle": "2023-09-27T20:11:09.577842Z", - "shell.execute_reply": "2023-09-27T20:11:09.576745Z" + "iopub.execute_input": "2023-11-06T22:15:52.263842Z", + "iopub.status.busy": "2023-11-06T22:15:52.263356Z", + "iopub.status.idle": "2023-11-06T22:16:04.074840Z", + "shell.execute_reply": "2023-11-06T22:16:04.074135Z" }, "papermill": { - "duration": 12.623146, - "end_time": "2023-09-27T20:11:09.580752", + "duration": 11.826191, + "end_time": "2023-11-06T22:16:04.076582", "exception": false, - "start_time": "2023-09-27T20:10:56.957606", + "start_time": "2023-11-06T22:15:52.250391", "status": "completed" }, "pycharm": { @@ -534,7 +520,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -542,15 +528,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpcfdodpci/_downloaded_data.json\n", + "/tmp/tmp07w3thj7/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 951kMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 2.44MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 18.6MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.02MMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 15.2MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 520kMB/s] \n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 3.70MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:07<00:00, 18.4MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.06MMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 14.0MMB/s]\n" ] } ], @@ -565,16 +551,16 @@ "id": "323bba07", "metadata": { "execution": { - 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"output_path": "/tmp/tmpcfdodpci/scratch_nb.ipynb", + "output_path": "/tmp/tmp07w3thj7/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpcfdodpci", + "output_dir": "/tmp/tmp07w3thj7", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T20:10:36.602723", + "start_time": "2023-11-06T22:15:40.297399", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb index f94c93bdf..98dfa5592 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb @@ -5,10 +5,10 @@ "id": "52f094f0", "metadata": { "papermill": { - "duration": 0.015557, - "end_time": "2023-09-27T22:14:14.706441", + "duration": 0.010063, + "end_time": "2023-11-06T22:26:03.505857", "exception": false, - "start_time": "2023-09-27T22:14:14.690884", + "start_time": "2023-11-06T22:26:03.495794", "status": "completed" }, "tags": [] @@ -34,10 +34,10 @@ "id": "dcbdec38", "metadata": { "papermill": { - "duration": 0.018744, - "end_time": "2023-09-27T22:14:14.739178", + "duration": 0.008933, + "end_time": "2023-11-06T22:26:03.524004", "exception": false, - "start_time": "2023-09-27T22:14:14.720434", + "start_time": "2023-11-06T22:26:03.515071", "status": "completed" }, "tags": [] @@ -77,10 +77,10 @@ "id": "2428eac0", "metadata": { "papermill": { - "duration": 0.014033, - "end_time": "2023-09-27T22:14:14.767922", + "duration": 0.008572, + "end_time": "2023-11-06T22:26:03.541396", "exception": false, - "start_time": "2023-09-27T22:14:14.753889", + "start_time": "2023-11-06T22:26:03.532824", "status": "completed" }, "tags": [] @@ -100,10 +100,10 @@ "id": "da34a8f9", "metadata": { "papermill": { - "duration": 0.014551, - "end_time": "2023-09-27T22:14:14.799308", + "duration": 0.009205, + "end_time": "2023-11-06T22:26:03.559544", "exception": false, - "start_time": "2023-09-27T22:14:14.784757", + "start_time": "2023-11-06T22:26:03.550339", "status": "completed" }, "tags": [] @@ -122,16 +122,16 @@ "id": "7f9f35b4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:14:14.833635Z", - "iopub.status.busy": "2023-09-27T22:14:14.832668Z", - "iopub.status.idle": "2023-09-27T22:14:22.850821Z", - "shell.execute_reply": "2023-09-27T22:14:22.849437Z" + "iopub.execute_input": "2023-11-06T22:26:03.580089Z", + "iopub.status.busy": "2023-11-06T22:26:03.579353Z", + "iopub.status.idle": "2023-11-06T22:26:08.553395Z", + "shell.execute_reply": "2023-11-06T22:26:08.552600Z" }, "papermill": { - "duration": 8.04015, - "end_time": "2023-09-27T22:14:22.853781", + "duration": 4.986408, + "end_time": "2023-11-06T22:26:08.555194", "exception": false, - "start_time": "2023-09-27T22:14:14.813631", + "start_time": "2023-11-06T22:26:03.568786", "status": "completed" }, "tags": [] @@ -163,16 +163,16 @@ "id": "528f33e4", "metadata": { "execution": { - 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"duration": 12.589125, - "end_time": "2023-09-27T22:14:35.545360", + "duration": 10.632707, + "end_time": "2023-11-06T22:26:19.246232", "exception": false, - "start_time": "2023-09-27T22:14:22.956235", + "start_time": "2023-11-06T22:26:08.613525", "status": "completed" }, "tags": [] @@ -210,7 +210,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -218,15 +218,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp4fm9s6ce/_downloaded_data.json\n", + "/tmp/tmpk7ih_z6t/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.01MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 2.66MMB/s] \n", - "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 19.6MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 914kMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 16.0MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 667kMB/s]\n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.08MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 21.8MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 952kMB/s] \n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 14.5MMB/s]\n" ] } ], @@ -240,16 +240,16 @@ "id": "8e8aa35d", "metadata": { "execution": { - 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"iopub.execute_input": "2023-09-27T22:19:10.110319Z", - "iopub.status.busy": "2023-09-27T22:19:10.109863Z", - "iopub.status.idle": "2023-09-27T22:19:10.290368Z", - "shell.execute_reply": "2023-09-27T22:19:10.289007Z" + "iopub.execute_input": "2023-11-06T22:29:29.720978Z", + "iopub.status.busy": "2023-11-06T22:29:29.720349Z", + "iopub.status.idle": "2023-11-06T22:29:29.741373Z", + "shell.execute_reply": "2023-11-06T22:29:29.740720Z" }, "papermill": { - "duration": 0.332247, - "end_time": "2023-09-27T22:19:10.332846", + "duration": 0.079216, + "end_time": "2023-11-06T22:29:29.742793", "exception": false, - "start_time": "2023-09-27T22:19:10.000599", + "start_time": "2023-11-06T22:29:29.663577", "status": "completed" }, "tags": [] @@ -2253,10 +2253,10 @@ "id": "0e2d33f2", "metadata": { "papermill": { - "duration": 0.113934, - "end_time": "2023-09-27T22:19:10.553904", + "duration": 0.054982, + "end_time": "2023-11-06T22:29:29.853037", "exception": false, - "start_time": "2023-09-27T22:19:10.439970", + "start_time": "2023-11-06T22:29:29.798055", "status": "completed" }, "tags": [] @@ -2273,16 +2273,16 @@ "id": "8fc7d514", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:12.220307Z", - "iopub.status.busy": "2023-09-27T22:19:12.218756Z", - "iopub.status.idle": "2023-09-27T22:19:12.304864Z", - "shell.execute_reply": "2023-09-27T22:19:12.303013Z" + "iopub.execute_input": "2023-11-06T22:29:29.963016Z", + "iopub.status.busy": "2023-11-06T22:29:29.962488Z", + "iopub.status.idle": "2023-11-06T22:29:29.970727Z", + "shell.execute_reply": "2023-11-06T22:29:29.970103Z" }, "papermill": { - "duration": 0.196184, - "end_time": "2023-09-27T22:19:12.307746", + "duration": 0.064708, + "end_time": "2023-11-06T22:29:29.972116", "exception": false, - "start_time": "2023-09-27T22:19:12.111562", + "start_time": "2023-11-06T22:29:29.907408", "status": "completed" }, "tags": [] @@ -2306,16 +2306,16 @@ "id": "7ebc0fc5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:19:12.528467Z", - "iopub.status.busy": "2023-09-27T22:19:12.527690Z", - "iopub.status.idle": "2023-09-27T22:19:13.170761Z", - "shell.execute_reply": "2023-09-27T22:19:13.168190Z" + "iopub.execute_input": "2023-11-06T22:29:30.121002Z", + "iopub.status.busy": "2023-11-06T22:29:30.120491Z", + "iopub.status.idle": "2023-11-06T22:29:30.524221Z", + "shell.execute_reply": "2023-11-06T22:29:30.523510Z" }, "papermill": { - "duration": 0.757241, - "end_time": "2023-09-27T22:19:13.173239", + "duration": 0.459556, + "end_time": "2023-11-06T22:29:30.525614", "exception": false, - "start_time": "2023-09-27T22:19:12.415998", + "start_time": "2023-11-06T22:29:30.066058", "status": "completed" }, "tags": [] @@ -2353,10 +2353,10 @@ "id": "be807079", "metadata": { "papermill": { - "duration": 0.12318, - "end_time": "2023-09-27T22:19:13.405203", + "duration": 0.055474, + "end_time": "2023-11-06T22:29:30.637066", "exception": false, - "start_time": "2023-09-27T22:19:13.282023", + "start_time": "2023-11-06T22:29:30.581592", "status": "completed" }, "tags": [] @@ -2386,17 +2386,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 302.863135, - "end_time": "2023-09-27T22:19:16.447126", + "duration": 208.884271, + "end_time": "2023-11-06T22:29:31.713130", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quality_metrics.ipynb", - "output_path": "/tmp/tmp4fm9s6ce/scratch_nb.ipynb", + "output_path": "/tmp/tmpk7ih_z6t/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp4fm9s6ce", + "output_dir": "/tmp/tmpk7ih_z6t", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:14:13.583991", + "start_time": "2023-11-06T22:26:02.828859", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb index 396763c87..3ee46b6d2 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb @@ -5,10 +5,10 @@ "id": "6c76b6dd", "metadata": { "papermill": { - "duration": 0.013191, - "end_time": "2023-09-27T20:11:21.200506", + "duration": 0.006149, + "end_time": "2023-11-06T22:43:37.516103", "exception": false, - "start_time": "2023-09-27T20:11:21.187315", + "start_time": "2023-11-06T22:43:37.509954", "status": "completed" }, "tags": [] @@ -33,16 +33,16 @@ "id": "ceda3ce7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:11:21.219153Z", - "iopub.status.busy": "2023-09-27T20:11:21.218512Z", - "iopub.status.idle": "2023-09-27T20:11:28.234290Z", - "shell.execute_reply": "2023-09-27T20:11:28.233169Z" + "iopub.execute_input": "2023-11-06T22:43:37.528316Z", + "iopub.status.busy": "2023-11-06T22:43:37.527836Z", + "iopub.status.idle": "2023-11-06T22:43:42.609753Z", + "shell.execute_reply": "2023-11-06T22:43:42.609067Z" }, "papermill": { - "duration": 7.028715, - "end_time": "2023-09-27T20:11:28.236997", + "duration": 5.089986, + "end_time": "2023-11-06T22:43:42.611526", "exception": false, - "start_time": "2023-09-27T20:11:21.208282", + "start_time": "2023-11-06T22:43:37.521540", "status": "completed" }, "tags": [] @@ -74,10 +74,10 @@ "id": "a7f3faf9", "metadata": { "papermill": { - "duration": 0.007885, - "end_time": "2023-09-27T20:11:28.252913", + "duration": 0.005207, + "end_time": "2023-11-06T22:43:42.622459", "exception": false, - "start_time": "2023-09-27T20:11:28.245028", + "start_time": "2023-11-06T22:43:42.617252", "status": "completed" }, "tags": [] @@ -92,16 +92,16 @@ "id": "d1b9c0de", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:11:28.273324Z", - "iopub.status.busy": "2023-09-27T20:11:28.272374Z", - "iopub.status.idle": "2023-09-27T20:11:28.277001Z", - "shell.execute_reply": "2023-09-27T20:11:28.276179Z" + "iopub.execute_input": "2023-11-06T22:43:42.635031Z", + "iopub.status.busy": "2023-11-06T22:43:42.634235Z", + "iopub.status.idle": "2023-11-06T22:43:42.637690Z", + "shell.execute_reply": "2023-11-06T22:43:42.637044Z" }, "papermill": { - "duration": 0.016042, - "end_time": "2023-09-27T20:11:28.278969", + "duration": 0.011454, + "end_time": "2023-11-06T22:43:42.639184", "exception": false, - "start_time": "2023-09-27T20:11:28.262927", + "start_time": "2023-11-06T22:43:42.627730", "status": "completed" }, "tags": [ @@ -120,16 +120,16 @@ "id": "708db976", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:11:28.319527Z", - "iopub.status.busy": "2023-09-27T20:11:28.318788Z", - "iopub.status.idle": "2023-09-27T20:11:36.799736Z", - "shell.execute_reply": "2023-09-27T20:11:36.798639Z" + "iopub.execute_input": "2023-11-06T22:43:42.667542Z", + "iopub.status.busy": "2023-11-06T22:43:42.666979Z", + "iopub.status.idle": "2023-11-06T22:43:53.891597Z", + "shell.execute_reply": "2023-11-06T22:43:53.890918Z" }, "papermill": { - "duration": 8.4924, - "end_time": "2023-09-27T20:11:36.802588", + "duration": 11.232758, + "end_time": "2023-11-06T22:43:53.893288", "exception": false, - "start_time": "2023-09-27T20:11:28.310188", + "start_time": "2023-11-06T22:43:42.660530", "status": "completed" }, "scrolled": false, @@ -140,7 +140,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorNeuropixelsProjectCache.construct_local_manifest()\n", "\n", @@ -148,15 +148,15 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmp4_80iuf_/_downloaded_data.json\n", + "/tmp/tmpo4u6au20/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 1.80MMB/s]\n", - "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 5.55MMB/s]\n", - "units.csv: 100%|██████████| 132M/132M [00:04<00:00, 30.9MMB/s]\n", - "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.04MMB/s] \n", - "channels.csv: 100%|██████████| 27.9M/27.9M [00:01<00:00, 25.6MMB/s]\n" + "ecephys_sessions.csv: 100%|██████████| 64.7k/64.7k [00:00<00:00, 670kMB/s]\n", + "behavior_sessions.csv: 100%|██████████| 562k/562k [00:00<00:00, 4.30MMB/s] \n", + "units.csv: 100%|██████████| 132M/132M [00:06<00:00, 21.4MMB/s]\n", + "probes.csv: 100%|██████████| 130k/130k [00:00<00:00, 1.31MMB/s]\n", + "channels.csv: 100%|██████████| 27.9M/27.9M [00:02<00:00, 12.3MMB/s]\n" ] } ], @@ -181,10 +181,10 @@ "id": "9fad545a", "metadata": { "papermill": { - "duration": 0.011845, - "end_time": "2023-09-27T20:11:36.827528", + "duration": 0.008332, + "end_time": "2023-11-06T22:43:53.910121", "exception": false, - "start_time": "2023-09-27T20:11:36.815683", + "start_time": "2023-11-06T22:43:53.901789", "status": "completed" }, "tags": [] @@ -199,16 +199,16 @@ "id": "19bf649c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:11:36.852472Z", - "iopub.status.busy": "2023-09-27T20:11:36.851711Z", - "iopub.status.idle": "2023-09-27T20:11:36.885604Z", - "shell.execute_reply": "2023-09-27T20:11:36.884645Z" + "iopub.execute_input": "2023-11-06T22:43:53.929037Z", + "iopub.status.busy": "2023-11-06T22:43:53.928527Z", + "iopub.status.idle": "2023-11-06T22:43:53.950752Z", + "shell.execute_reply": "2023-11-06T22:43:53.950030Z" }, "papermill": { - "duration": 0.049173, - "end_time": "2023-09-27T20:11:36.887853", + "duration": 0.032908, + "end_time": "2023-11-06T22:43:53.952129", "exception": false, - "start_time": "2023-09-27T20:11:36.838680", + "start_time": "2023-11-06T22:43:53.919221", "status": "completed" }, "tags": [] @@ -500,10 +500,10 @@ "id": "2fc6ad8d", "metadata": { "papermill": { - 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"ecephys_session_1064644573.nwb: 100%|██████████| 2.99G/2.99G [03:00<00:00, 16.6MMB/s]\n", + "ecephys_session_1064644573.nwb: 100%|██████████| 2.99G/2.99G [02:28<00:00, 20.2MMB/s]\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.5.1 because version 1.8.0 is already loaded.\n", " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.5.0 because version 2.6.0-alpha is already loaded.\n", @@ -558,10 +558,10 @@ "id": "7e1806a2", "metadata": { "papermill": { - "duration": 0.08452, - "end_time": "2023-09-27T20:15:28.420062", + "duration": 0.06698, + "end_time": "2023-11-06T22:46:35.586573", "exception": false, - "start_time": "2023-09-27T20:15:28.335542", + "start_time": "2023-11-06T22:46:35.519593", "status": "completed" }, "tags": [] @@ -576,16 +576,16 @@ "id": "ab91dc89", "metadata": { "execution": { - 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"iopub.execute_input": "2023-09-27T20:16:16.310782Z", - "iopub.status.busy": "2023-09-27T20:16:16.310426Z", - "iopub.status.idle": "2023-09-27T20:16:16.317136Z", - "shell.execute_reply": "2023-09-27T20:16:16.316096Z" + "iopub.execute_input": "2023-11-06T22:46:56.768938Z", + "iopub.status.busy": "2023-11-06T22:46:56.768326Z", + "iopub.status.idle": "2023-11-06T22:46:56.772435Z", + "shell.execute_reply": "2023-11-06T22:46:56.771908Z" }, "papermill": { - "duration": 0.086501, - "end_time": "2023-09-27T20:16:16.320029", + "duration": 0.051792, + "end_time": "2023-11-06T22:46:56.773770", "exception": false, - "start_time": "2023-09-27T20:16:16.233528", + "start_time": "2023-11-06T22:46:56.721978", "status": "completed" }, "tags": [] @@ -1535,16 +1535,16 @@ "id": "8c970f67", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T20:16:16.494995Z", - "iopub.status.busy": "2023-09-27T20:16:16.494631Z", - "iopub.status.idle": "2023-09-27T20:16:17.288239Z", - "shell.execute_reply": "2023-09-27T20:16:17.287133Z" + "iopub.execute_input": "2023-11-06T22:46:56.866461Z", + "iopub.status.busy": "2023-11-06T22:46:56.865967Z", + "iopub.status.idle": "2023-11-06T22:46:57.290959Z", + "shell.execute_reply": "2023-11-06T22:46:57.290212Z" }, "papermill": { - "duration": 0.893147, - "end_time": "2023-09-27T20:16:17.291946", + "duration": 0.472508, + "end_time": "2023-11-06T22:46:57.292431", "exception": false, - "start_time": "2023-09-27T20:16:16.398799", + "start_time": "2023-11-06T22:46:56.819923", "status": "completed" }, "tags": [] @@ -1613,17 +1613,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 300.670085, - "end_time": "2023-09-27T20:16:20.918681", + "duration": 201.720935, + "end_time": "2023-11-06T22:46:58.458237", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_neuropixels_quickstart.ipynb", - "output_path": "/tmp/tmp4_80iuf_/scratch_nb.ipynb", + "output_path": "/tmp/tmpo4u6au20/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmp4_80iuf_", + "output_dir": "/tmp/tmpo4u6au20", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T20:11:20.248596", + "start_time": "2023-11-06T22:43:36.737302", "version": "2.4.0" }, "vscode": { diff --git a/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb index 5fd823240..7f5fac6dc 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb @@ -5,10 +5,10 @@ "id": "8432ad9b", "metadata": { "papermill": { - "duration": 0.01544, - "end_time": "2023-09-27T21:52:21.040686", + "duration": 0.010074, + "end_time": "2023-11-06T22:16:10.634616", "exception": false, - "start_time": "2023-09-27T21:52:21.025246", + "start_time": "2023-11-06T22:16:10.624542", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "86cb4f05", "metadata": { "papermill": { - "duration": 0.013932, - "end_time": "2023-09-27T21:52:21.067356", + "duration": 0.008615, + "end_time": "2023-11-06T22:16:10.653204", "exception": false, - "start_time": "2023-09-27T21:52:21.053424", + "start_time": "2023-11-06T22:16:10.644589", "status": "completed" }, "pycharm": { @@ -51,10 +51,10 @@ "id": "1be4fb02", "metadata": { "papermill": { - "duration": 0.013501, - "end_time": "2023-09-27T21:52:21.093722", + "duration": 0.008832, + "end_time": "2023-11-06T22:16:10.670838", "exception": false, - "start_time": "2023-09-27T21:52:21.080221", + "start_time": "2023-11-06T22:16:10.662006", "status": "completed" }, "pycharm": { @@ -75,10 +75,10 @@ "id": "4e9c2097", "metadata": { "papermill": { - "duration": 0.013151, - "end_time": "2023-09-27T21:52:21.119933", + "duration": 0.0087, + "end_time": "2023-11-06T22:16:10.688371", "exception": false, - "start_time": "2023-09-27T21:52:21.106782", + "start_time": "2023-11-06T22:16:10.679671", "status": "completed" }, "pycharm": { @@ -113,10 +113,10 @@ "id": "fe5057d6", "metadata": { "papermill": { - "duration": 0.012787, - "end_time": "2023-09-27T21:52:21.146036", + "duration": 0.008568, + "end_time": "2023-11-06T22:16:10.706086", "exception": false, - "start_time": "2023-09-27T21:52:21.133249", + "start_time": "2023-11-06T22:16:10.697518", "status": "completed" }, "pycharm": { @@ -133,10 +133,10 @@ "id": "68b8cb24", "metadata": { "papermill": { - "duration": 0.015491, - "end_time": "2023-09-27T21:52:21.176121", + "duration": 0.009015, + "end_time": "2023-11-06T22:16:10.723934", "exception": false, - "start_time": "2023-09-27T21:52:21.160630", + "start_time": "2023-11-06T22:16:10.714919", "status": "completed" }, "pycharm": { @@ -154,16 +154,16 @@ "id": "5e8afbc8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:21.210440Z", - "iopub.status.busy": "2023-09-27T21:52:21.209395Z", - "iopub.status.idle": "2023-09-27T21:52:25.347727Z", - "shell.execute_reply": "2023-09-27T21:52:25.346468Z" + "iopub.execute_input": "2023-11-06T22:16:10.743313Z", + "iopub.status.busy": "2023-11-06T22:16:10.742791Z", + "iopub.status.idle": "2023-11-06T22:16:12.904292Z", + "shell.execute_reply": "2023-11-06T22:16:12.903447Z" }, "papermill": { - "duration": 4.159088, - "end_time": "2023-09-27T21:52:25.350832", + "duration": 2.173351, + "end_time": "2023-11-06T22:16:12.906149", "exception": false, - "start_time": "2023-09-27T21:52:21.191744", + "start_time": "2023-11-06T22:16:10.732798", "status": "completed" }, "pycharm": { @@ -177,9 +177,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -190,33 +190,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -224,14 +224,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -239,29 +239,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -274,10 +274,10 @@ "id": "05e83dd7", "metadata": { "papermill": { - "duration": 0.014057, - "end_time": "2023-09-27T21:52:25.381177", + "duration": 0.009063, + "end_time": "2023-11-06T22:16:12.924750", "exception": false, - "start_time": "2023-09-27T21:52:25.367120", + "start_time": "2023-11-06T22:16:12.915687", "status": "completed" }, "pycharm": { @@ -294,10 +294,10 @@ "id": "ff3f2f34", "metadata": { "papermill": { - "duration": 0.013698, - "end_time": "2023-09-27T21:52:25.409459", + "duration": 0.008985, + "end_time": "2023-11-06T22:16:12.942791", "exception": false, - "start_time": "2023-09-27T21:52:25.395761", + "start_time": "2023-11-06T22:16:12.933806", "status": "completed" }, "pycharm": { @@ -318,16 +318,16 @@ "id": "03a52ea5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:25.440889Z", - "iopub.status.busy": "2023-09-27T21:52:25.440147Z", - "iopub.status.idle": "2023-09-27T21:52:32.139772Z", - "shell.execute_reply": "2023-09-27T21:52:32.138507Z" + "iopub.execute_input": "2023-11-06T22:16:12.963184Z", + "iopub.status.busy": "2023-11-06T22:16:12.962553Z", + "iopub.status.idle": "2023-11-06T22:16:17.023887Z", + "shell.execute_reply": "2023-11-06T22:16:17.023013Z" }, "papermill": { - "duration": 6.718586, - "end_time": "2023-09-27T21:52:32.142471", + "duration": 4.073675, + "end_time": "2023-11-06T22:16:17.025664", "exception": false, - "start_time": "2023-09-27T21:52:25.423885", + "start_time": "2023-11-06T22:16:12.951989", "status": "completed" }, "pycharm": { @@ -340,11 +340,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -355,33 +355,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: pynwb in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.5.0)\r\n", "Requirement already satisfied: tables in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.0)\r\n", - "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.2)\r\n", - "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.5)\r\n", + "Requirement already satisfied: seaborn in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.13.0)\r\n", + "Requirement already satisfied: aiohttp in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.8.6)\r\n", "Requirement already satisfied: nest-asyncio in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.8)\r\n", "Requirement already satisfied: tqdm in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (4.66.1)\r\n", "Requirement already satisfied: ndx-events in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.2.0)\r\n", - "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.56)\r\n", - "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.1)\r\n", - "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.1)\r\n", - "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.21)\r\n", + "Requirement already satisfied: boto3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -389,14 +389,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -404,29 +404,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -440,10 +440,10 @@ "id": "b26fd439", "metadata": { "papermill": { - "duration": 0.016823, - "end_time": "2023-09-27T21:52:32.176334", + "duration": 0.009848, + "end_time": "2023-11-06T22:16:17.045893", "exception": false, - "start_time": "2023-09-27T21:52:32.159511", + "start_time": "2023-11-06T22:16:17.036045", "status": "completed" }, "pycharm": { @@ -461,16 +461,16 @@ "id": "396e1034", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:32.213716Z", - "iopub.status.busy": "2023-09-27T21:52:32.212599Z", - "iopub.status.idle": "2023-09-27T21:52:41.342170Z", - "shell.execute_reply": "2023-09-27T21:52:41.340945Z" + "iopub.execute_input": "2023-11-06T22:16:17.068639Z", + "iopub.status.busy": "2023-11-06T22:16:17.068051Z", + "iopub.status.idle": "2023-11-06T22:16:22.103247Z", + "shell.execute_reply": "2023-11-06T22:16:22.102574Z" }, "papermill": { - "duration": 9.151462, - "end_time": "2023-09-27T21:52:41.344675", + "duration": 5.048391, + "end_time": "2023-11-06T22:16:22.104645", "exception": false, - "start_time": "2023-09-27T21:52:32.193213", + "start_time": "2023-11-06T22:16:17.056254", "status": "completed" }, "pycharm": { @@ -512,16 +512,16 @@ "id": "781412bf", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:41.380478Z", - "iopub.status.busy": "2023-09-27T21:52:41.379330Z", - "iopub.status.idle": "2023-09-27T21:52:41.384103Z", - "shell.execute_reply": "2023-09-27T21:52:41.383323Z" + "iopub.execute_input": "2023-11-06T22:16:22.126642Z", + "iopub.status.busy": "2023-11-06T22:16:22.125942Z", + "iopub.status.idle": "2023-11-06T22:16:22.129609Z", + "shell.execute_reply": "2023-11-06T22:16:22.129017Z" }, "papermill": { - "duration": 0.024699, - "end_time": "2023-09-27T21:52:41.386124", + "duration": 0.015986, + "end_time": "2023-11-06T22:16:22.130921", "exception": false, - "start_time": "2023-09-27T21:52:41.361425", + "start_time": "2023-11-06T22:16:22.114935", "status": "completed" }, "pycharm": { @@ -545,16 +545,16 @@ "id": "22738ce0", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:41.462028Z", - "iopub.status.busy": "2023-09-27T21:52:41.461341Z", - "iopub.status.idle": "2023-09-27T21:52:44.269531Z", - "shell.execute_reply": "2023-09-27T21:52:44.268284Z" + "iopub.execute_input": "2023-11-06T22:16:22.179042Z", + "iopub.status.busy": "2023-11-06T22:16:22.178560Z", + "iopub.status.idle": "2023-11-06T22:16:25.091018Z", + "shell.execute_reply": "2023-11-06T22:16:25.090303Z" }, "papermill": { - "duration": 2.828711, - "end_time": "2023-09-27T21:52:44.272352", + "duration": 2.92527, + "end_time": "2023-11-06T22:16:25.092375", "exception": false, - "start_time": "2023-09-27T21:52:41.443641", + "start_time": "2023-11-06T22:16:22.167105", "status": "completed" }, "pycharm": { @@ -567,7 +567,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", "\n", @@ -575,14 +575,20 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpwro92p2m/_downloaded_data.json\n", + "/tmp/tmpp6_aqlqd/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.46MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 7.32MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 4.85MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 7.28MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 247k/247k [00:00<00:00, 1.79MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.59M/1.59M [00:00<00:00, 9.72MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 657k/657k [00:00<00:00, 4.32MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.28M/4.28M [00:00<00:00, 8.27MMB/s]\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py:135: UpdatedStimulusPresentationTableWarning: \n", + "\tAs of AllenSDK version 2.16.0, the latest Visual Behavior Ophys data has been significantly updated from previous releases. Specifically the user will need to update all processing of the stimulus_presentations tables. These tables now include multiple stimulus types delineated by the columns `stimulus_block` and `stimulus_block_name`.\n", + "\n", + "The data that was available in previous releases are stored in the block name containing 'change_detection' and can be accessed in the pandas table by using: \n", + "\t`stimulus_presentations[stimulus_presentations.stimulus_block_name.str.contains('change_detection')]`\n", + " warnings.warn(\n" ] } ], @@ -597,10 +603,10 @@ "id": "789b2c29", "metadata": { "papermill": { - "duration": 0.017368, - "end_time": "2023-09-27T21:52:44.308299", + "duration": 0.010997, + "end_time": "2023-11-06T22:16:25.114802", "exception": false, - "start_time": "2023-09-27T21:52:44.290931", + "start_time": "2023-11-06T22:16:25.103805", "status": "completed" }, "pycharm": { @@ -625,10 +631,10 @@ "id": "2c174b0a", "metadata": { "papermill": { - "duration": 0.021765, - "end_time": "2023-09-27T21:52:44.348985", + "duration": 0.011305, + "end_time": "2023-11-06T22:16:25.137320", "exception": false, - "start_time": "2023-09-27T21:52:44.327220", + "start_time": "2023-11-06T22:16:25.126015", "status": "completed" }, "pycharm": { @@ -647,10 +653,10 @@ "id": "df8231e7", "metadata": { "papermill": { - "duration": 0.017494, - "end_time": "2023-09-27T21:52:44.385797", + "duration": 0.010659, + "end_time": "2023-11-06T22:16:25.158813", "exception": false, - "start_time": "2023-09-27T21:52:44.368303", + "start_time": "2023-11-06T22:16:25.148154", "status": "completed" }, "pycharm": { @@ -670,16 +676,16 @@ "id": "90f5ce47", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.426565Z", - "iopub.status.busy": "2023-09-27T21:52:44.426112Z", - "iopub.status.idle": "2023-09-27T21:52:44.437853Z", - "shell.execute_reply": "2023-09-27T21:52:44.436865Z" + "iopub.execute_input": "2023-11-06T22:16:25.182863Z", + "iopub.status.busy": "2023-11-06T22:16:25.182366Z", + "iopub.status.idle": "2023-11-06T22:16:25.189667Z", + "shell.execute_reply": "2023-11-06T22:16:25.188915Z" }, "papermill": { - "duration": 0.036482, - "end_time": "2023-09-27T21:52:44.439891", + "duration": 0.021341, + "end_time": "2023-11-06T22:16:25.191276", "exception": false, - "start_time": "2023-09-27T21:52:44.403409", + "start_time": "2023-11-06T22:16:25.169935", "status": "completed" }, "pycharm": { @@ -693,9 +699,7 @@ "text/plain": [ "['visual-behavior-ophys_project_manifest_v0.1.0.json',\n", " 'visual-behavior-ophys_project_manifest_v0.2.0.json',\n", - " 'visual-behavior-ophys_project_manifest_v0.3.0.json',\n", - " 'visual-behavior-ophys_project_manifest_v1.0.0.json',\n", - " 'visual-behavior-ophys_project_manifest_v1.0.1.json']" + " 'visual-behavior-ophys_project_manifest_v1.0.0.json']" ] }, "execution_count": 7, @@ -712,10 +716,10 @@ "id": "58652284", "metadata": { "papermill": { - "duration": 0.020197, - "end_time": "2023-09-27T21:52:44.483445", + "duration": 0.011117, + "end_time": "2023-11-06T22:16:25.213896", "exception": false, - "start_time": "2023-09-27T21:52:44.463248", + "start_time": "2023-11-06T22:16:25.202779", "status": "completed" }, "pycharm": { @@ -733,16 +737,16 @@ "id": "376665f9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.522822Z", - "iopub.status.busy": "2023-09-27T21:52:44.522098Z", - "iopub.status.idle": "2023-09-27T21:52:44.531234Z", - "shell.execute_reply": "2023-09-27T21:52:44.530221Z" + "iopub.execute_input": "2023-11-06T22:16:25.238417Z", + "iopub.status.busy": "2023-11-06T22:16:25.237821Z", + "iopub.status.idle": "2023-11-06T22:16:25.242589Z", + "shell.execute_reply": "2023-11-06T22:16:25.241915Z" }, "papermill": { - "duration": 0.032232, - "end_time": "2023-09-27T21:52:44.533654", + "duration": 0.018643, + "end_time": "2023-11-06T22:16:25.243991", "exception": false, - "start_time": "2023-09-27T21:52:44.501422", + "start_time": "2023-11-06T22:16:25.225348", "status": "completed" }, "pycharm": { @@ -754,7 +758,7 @@ { "data": { "text/plain": [ - "'visual-behavior-ophys_project_manifest_v1.0.1.json'" + "'visual-behavior-ophys_project_manifest_v1.0.0.json'" ] }, "execution_count": 8, @@ -771,10 +775,10 @@ "id": "3ea84f59", "metadata": { "papermill": { - "duration": 0.019497, - "end_time": "2023-09-27T21:52:44.576002", + "duration": 0.011018, + "end_time": "2023-11-06T22:16:25.266449", "exception": false, - "start_time": "2023-09-27T21:52:44.556505", + "start_time": "2023-11-06T22:16:25.255431", "status": "completed" }, "pycharm": { @@ -792,16 +796,16 @@ "id": "a546e49f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.616114Z", - "iopub.status.busy": "2023-09-27T21:52:44.615369Z", - "iopub.status.idle": "2023-09-27T21:52:44.622545Z", - "shell.execute_reply": "2023-09-27T21:52:44.621260Z" + "iopub.execute_input": "2023-11-06T22:16:25.289935Z", + "iopub.status.busy": "2023-11-06T22:16:25.289456Z", + "iopub.status.idle": "2023-11-06T22:16:25.294430Z", + "shell.execute_reply": "2023-11-06T22:16:25.293824Z" }, "papermill": { - "duration": 0.030502, - "end_time": "2023-09-27T21:52:44.625061", + "duration": 0.018275, + "end_time": "2023-11-06T22:16:25.295824", "exception": false, - "start_time": "2023-09-27T21:52:44.594559", + "start_time": "2023-11-06T22:16:25.277549", "status": "completed" }, "pycharm": { @@ -813,7 +817,7 @@ { "data": { "text/plain": [ - "'visual-behavior-ophys_project_manifest_v1.0.1.json'" + "'visual-behavior-ophys_project_manifest_v1.0.0.json'" ] }, "execution_count": 9, @@ -830,10 +834,10 @@ "id": "3659c8d0", "metadata": { "papermill": { - "duration": 0.022996, - "end_time": "2023-09-27T21:52:44.668912", + "duration": 0.011056, + "end_time": "2023-11-06T22:16:25.318309", "exception": false, - "start_time": "2023-09-27T21:52:44.645916", + "start_time": "2023-11-06T22:16:25.307253", "status": "completed" }, "pycharm": { @@ -851,16 +855,16 @@ "id": "27a9e239", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.709561Z", - "iopub.status.busy": "2023-09-27T21:52:44.708798Z", - "iopub.status.idle": "2023-09-27T21:52:44.715385Z", - "shell.execute_reply": "2023-09-27T21:52:44.714417Z" + "iopub.execute_input": "2023-11-06T22:16:25.342367Z", + "iopub.status.busy": "2023-11-06T22:16:25.341873Z", + "iopub.status.idle": "2023-11-06T22:16:25.347054Z", + "shell.execute_reply": "2023-11-06T22:16:25.346401Z" }, "papermill": { - "duration": 0.029313, - "end_time": "2023-09-27T21:52:44.717434", + "duration": 0.019004, + "end_time": "2023-11-06T22:16:25.348506", "exception": false, - "start_time": "2023-09-27T21:52:44.688121", + "start_time": "2023-11-06T22:16:25.329502", "status": "completed" }, "pycharm": { @@ -872,7 +876,7 @@ { "data": { "text/plain": [ - "['visual-behavior-ophys_project_manifest_v1.0.1.json']" + "['visual-behavior-ophys_project_manifest_v1.0.0.json']" ] }, "execution_count": 10, @@ -889,10 +893,10 @@ "id": "533ed358", "metadata": { "papermill": { - "duration": 0.018346, - "end_time": "2023-09-27T21:52:44.755213", + "duration": 0.011563, + "end_time": "2023-11-06T22:16:25.371940", "exception": false, - "start_time": "2023-09-27T21:52:44.736867", + "start_time": "2023-11-06T22:16:25.360377", "status": "completed" }, "pycharm": { @@ -918,16 +922,16 @@ "id": "1e63398b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.793965Z", - "iopub.status.busy": "2023-09-27T21:52:44.793216Z", - "iopub.status.idle": "2023-09-27T21:52:44.800014Z", - "shell.execute_reply": "2023-09-27T21:52:44.798985Z" + "iopub.execute_input": "2023-11-06T22:16:25.396698Z", + "iopub.status.busy": "2023-11-06T22:16:25.396209Z", + "iopub.status.idle": "2023-11-06T22:16:25.400982Z", + "shell.execute_reply": "2023-11-06T22:16:25.400207Z" }, "papermill": { - "duration": 0.029103, - "end_time": "2023-09-27T21:52:44.802336", + "duration": 0.018782, + "end_time": "2023-11-06T22:16:25.402332", "exception": false, - "start_time": "2023-09-27T21:52:44.773233", + "start_time": "2023-11-06T22:16:25.383550", "status": "completed" }, "pycharm": { @@ -939,7 +943,7 @@ { "data": { "text/plain": [ - "'visual-behavior-ophys_project_manifest_v1.0.1.json'" + "'visual-behavior-ophys_project_manifest_v1.0.0.json'" ] }, "execution_count": 11, @@ -956,10 +960,10 @@ "id": "6e94f4ce", "metadata": { "papermill": { - "duration": 0.018158, - "end_time": "2023-09-27T21:52:44.839531", + "duration": 0.010997, + "end_time": "2023-11-06T22:16:25.424804", "exception": false, - "start_time": "2023-09-27T21:52:44.821373", + "start_time": "2023-11-06T22:16:25.413807", "status": "completed" }, "pycharm": { @@ -977,16 +981,16 @@ "id": "17232af7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:44.877555Z", - "iopub.status.busy": "2023-09-27T21:52:44.876837Z", - "iopub.status.idle": "2023-09-27T21:52:45.466161Z", - "shell.execute_reply": "2023-09-27T21:52:45.465074Z" + "iopub.execute_input": "2023-11-06T22:16:25.449375Z", + "iopub.status.busy": "2023-11-06T22:16:25.448869Z", + "iopub.status.idle": "2023-11-06T22:16:26.254553Z", + "shell.execute_reply": "2023-11-06T22:16:26.253881Z" }, "papermill": { - "duration": 0.611452, - "end_time": "2023-09-27T21:52:45.469083", + "duration": 0.819919, + "end_time": "2023-11-06T22:16:26.256307", "exception": false, - "start_time": "2023-09-27T21:52:44.857631", + "start_time": "2023-11-06T22:16:25.436388", "status": "completed" }, "pycharm": { @@ -999,15 +1003,15 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:466: OutdatedManifestWarning: \n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:492: OutdatedManifestWarning: \n", "\n", "The manifest file you are loading is not the most up to date manifest file available for this dataset. The most up to data manifest file available for this dataset is \n", "\n", - "visual-behavior-ophys_project_manifest_v1.0.1.json\n", + "visual-behavior-ophys_project_manifest_v1.0.0.json\n", "\n", "To see the differences between these manifests,run\n", "\n", - "VisualBehaviorOphysProjectCache.compare_manifests('visual-behavior-ophys_project_manifest_v0.1.0.json', 'visual-behavior-ophys_project_manifest_v1.0.1.json')\n", + "VisualBehaviorOphysProjectCache.compare_manifests('visual-behavior-ophys_project_manifest_v0.1.0.json', 'visual-behavior-ophys_project_manifest_v1.0.0.json')\n", "\n", "To see all of the manifest files currently downloaded onto your local system, run\n", "\n", @@ -1026,7 +1030,7 @@ "output_type": "stream", "text": [ "the manifest has manifest_version 0.1.0 but this version of AllenSDK is compatible only with manifest versions 1.0.0 <= X < 2.0.0. \n", - "Consider using a version of AllenSDK closer to the version used to release the data: 2.10.0\n" + "Consider using a version of AllenSDK closer to the version used to release the data: 2.16.0\n" ] } ], @@ -1047,16 +1051,16 @@ "id": "e945c2da", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:45.508345Z", - "iopub.status.busy": "2023-09-27T21:52:45.507563Z", - "iopub.status.idle": "2023-09-27T21:52:45.514247Z", - "shell.execute_reply": "2023-09-27T21:52:45.513335Z" + "iopub.execute_input": "2023-11-06T22:16:26.281462Z", + "iopub.status.busy": "2023-11-06T22:16:26.280946Z", + "iopub.status.idle": "2023-11-06T22:16:26.285607Z", + "shell.execute_reply": "2023-11-06T22:16:26.284929Z" }, "papermill": { - "duration": 0.028427, - "end_time": "2023-09-27T21:52:45.516269", + "duration": 0.018816, + "end_time": "2023-11-06T22:16:26.287047", "exception": false, - "start_time": "2023-09-27T21:52:45.487842", + "start_time": "2023-11-06T22:16:26.268231", "status": "completed" }, "pycharm": { @@ -1068,7 +1072,7 @@ { "data": { "text/plain": [ - "'visual-behavior-ophys_project_manifest_v1.0.1.json'" + "'visual-behavior-ophys_project_manifest_v1.0.0.json'" ] }, "execution_count": 13, @@ -1085,10 +1089,10 @@ "id": "3c7a1db1", "metadata": { "papermill": { - "duration": 0.018054, - "end_time": "2023-09-27T21:52:45.553957", + "duration": 0.01168, + "end_time": "2023-11-06T22:16:26.310514", "exception": false, - "start_time": "2023-09-27T21:52:45.535903", + "start_time": "2023-11-06T22:16:26.298834", "status": "completed" }, "pycharm": { @@ -1106,16 +1110,16 @@ "id": "2c109ecc", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:45.591852Z", - "iopub.status.busy": "2023-09-27T21:52:45.590853Z", - "iopub.status.idle": "2023-09-27T21:52:46.097635Z", - "shell.execute_reply": "2023-09-27T21:52:46.096515Z" + "iopub.execute_input": "2023-11-06T22:16:26.336063Z", + "iopub.status.busy": "2023-11-06T22:16:26.335563Z", + "iopub.status.idle": "2023-11-06T22:16:27.070490Z", + "shell.execute_reply": "2023-11-06T22:16:27.069695Z" }, "papermill": { - "duration": 0.528199, - "end_time": "2023-09-27T21:52:46.100118", + "duration": 0.752508, + "end_time": "2023-11-06T22:16:27.074797", "exception": false, - "start_time": "2023-09-27T21:52:45.571919", + "start_time": "2023-11-06T22:16:26.322289", "status": "completed" }, "pycharm": { @@ -1134,8 +1138,6031 @@ "visual-behavior-ophys_project_manifest_v0.2.0.json\n", "\n", "project_metadata/behavior_session_table.csv changed\n", - "project_metadata/ophys_experiment_table.csv changed\n", "project_metadata/ophys_session_table.csv changed\n", + "behavior_ophys_experiments/behavior_ophys_experiment_1000743008.nwb changed\n", + "behavior_ophys_experiments/behavior_ophys_experiment_1001535125.nwb changed\n", + "behavior_ophys_experiments/behavior_ophys_experiment_1002314807.nwb changed\n", + "behavior_ophys_experiments/behavior_ophys_experiment_1003122317.nwb changed\n", + "behavior_ophys_experiments/behavior_ophys_experiment_1003123177.nwb 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"2023-09-27T21:52:46.181583", + "duration": 0.016775, + "end_time": "2023-11-06T22:16:27.141499", "exception": false, - "start_time": "2023-09-27T21:52:46.163739", + "start_time": "2023-11-06T22:16:27.124724", "status": "completed" }, "pycharm": { @@ -1198,16 +7225,16 @@ "id": "5f22ddda", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:46.223799Z", - "iopub.status.busy": "2023-09-27T21:52:46.222586Z", - "iopub.status.idle": "2023-09-27T21:52:46.255509Z", - "shell.execute_reply": "2023-09-27T21:52:46.254604Z" + "iopub.execute_input": "2023-11-06T22:16:27.176480Z", + "iopub.status.busy": "2023-11-06T22:16:27.175972Z", + "iopub.status.idle": "2023-11-06T22:16:27.193934Z", + "shell.execute_reply": "2023-11-06T22:16:27.193325Z" }, "papermill": { - "duration": 0.058179, - "end_time": "2023-09-27T21:52:46.257655", + "duration": 0.03723, + "end_time": "2023-11-06T22:16:27.195388", "exception": false, - "start_time": "2023-09-27T21:52:46.199476", + "start_time": "2023-11-06T22:16:27.158158", "status": "completed" }, "pycharm": { @@ -1220,7 +7247,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of behavior sessions: 4787\n" + "Total number of behavior sessions: 4782\n" ] }, { @@ -1244,26 +7271,27 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", - " session_number\n", - " prior_exposures_to_session_type\n", - " prior_exposures_to_image_set\n", - " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", - " date_of_acquisition\n", - " session_type\n", + " ...\n", + " num_targeted_structures\n", + " go_trial_count\n", + " hit_trial_count\n", + " catch_trial_count\n", + " miss_trial_count\n", + " engaged_trial_count\n", + " correct_reject_trial_count\n", " file_id\n", + " trial_count\n", + " false_alarm_trial_count\n", " \n", " \n", " behavior_session_id\n", @@ -1287,208 +7315,201 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " 870987812\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 80.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 0.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 80\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-17 14:46:33.550000+00:00\n", - " TRAINING_0_gratings_autorewards_15min\n", - " 1.085368e+09\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 70\n", + " 0\n", + " 1941\n", + " 121\n", + " 0\n", " \n", " \n", " 872953842\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 84.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 0.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 84\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-21 13:22:20.613000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 293\n", + " 18\n", + " 49\n", + " 275\n", + " 27\n", + " 45\n", + " 1942\n", + " 564\n", + " 4\n", " \n", " \n", " 873774125\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 85.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 1.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 85\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-22 13:19:52.005000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 314\n", + " 14\n", + " 41\n", + " 300\n", + " 0\n", + " 38\n", + " 1943\n", + " 548\n", + " 3\n", " \n", " \n", " 874790261\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 86.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 2.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 86\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-23 13:40:31.405000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 326\n", + " 14\n", + " 42\n", + " 312\n", + " 0\n", + " 42\n", + " 1944\n", + " 492\n", + " 0\n", " \n", " \n", " 875207834\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 87.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 3.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 87\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-24 11:06:39.332000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 322\n", + " 22\n", + " 44\n", + " 300\n", + " 5\n", + " 41\n", + " 1945\n", + " 504\n", + " 3\n", " \n", " \n", "\n", + "

    5 rows × 34 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "870987812 BEH.D-Box1 \n", - "872953842 BEH.D-Box1 \n", - "873774125 BEH.D-Box1 \n", - "874790261 BEH.D-Box1 \n", - "875207834 BEH.D-Box1 \n", - "\n", - " full_genotype mouse_id \\\n", + " ophys_session_id ophys_container_id mouse_id indicator \\\n", "behavior_session_id \n", - "870987812 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "872953842 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "873774125 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "874790261 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "875207834 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", + "870987812 NaN 457841 GCaMP6f \n", + "872953842 NaN 457841 GCaMP6f \n", + "873774125 NaN 457841 GCaMP6f \n", + "874790261 NaN 457841 GCaMP6f \n", + "875207834 NaN 457841 GCaMP6f \n", "\n", - " reporter_line driver_line sex \\\n", - "behavior_session_id \n", - "870987812 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "872953842 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "873774125 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "874790261 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "875207834 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", + " full_genotype \\\n", + "behavior_session_id \n", + "870987812 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "872953842 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "873774125 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "874790261 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "875207834 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " age_in_days cre_line indicator session_number \\\n", - "behavior_session_id \n", - "870987812 80.0 Sst-IRES-Cre GCaMP6f \n", - "872953842 84.0 Sst-IRES-Cre GCaMP6f \n", - "873774125 85.0 Sst-IRES-Cre GCaMP6f \n", - "874790261 86.0 Sst-IRES-Cre GCaMP6f \n", - "875207834 87.0 Sst-IRES-Cre GCaMP6f \n", + " driver_line cre_line reporter_line \\\n", + "behavior_session_id \n", + "870987812 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "872953842 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "873774125 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "874790261 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "875207834 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " prior_exposures_to_session_type \\\n", - "behavior_session_id \n", - "870987812 0.0 \n", - "872953842 0.0 \n", - "873774125 1.0 \n", - "874790261 2.0 \n", - "875207834 3.0 \n", + " sex age_in_days ... num_targeted_structures \\\n", + "behavior_session_id ... \n", + "870987812 F 80 ... \n", + "872953842 F 84 ... \n", + "873774125 F 85 ... \n", + "874790261 F 86 ... \n", + "875207834 F 87 ... \n", "\n", - " prior_exposures_to_image_set \\\n", - "behavior_session_id \n", - "870987812 \n", - "872953842 \n", - "873774125 \n", - "874790261 \n", - "875207834 \n", + " go_trial_count hit_trial_count catch_trial_count \\\n", + "behavior_session_id \n", + "870987812 0 0 0 \n", + "872953842 293 18 49 \n", + "873774125 314 14 41 \n", + "874790261 326 14 42 \n", + "875207834 322 22 44 \n", "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", - "behavior_session_id \n", - "870987812 0.0 \n", - "872953842 0.0 \n", - "873774125 0.0 \n", - "874790261 0.0 \n", - "875207834 0.0 \n", + " miss_trial_count engaged_trial_count \\\n", + "behavior_session_id \n", + "870987812 0 70 \n", + "872953842 275 27 \n", + "873774125 300 0 \n", + "874790261 312 0 \n", + "875207834 300 5 \n", "\n", - " ophys_experiment_id ophys_container_id project_code \\\n", - "behavior_session_id \n", - "870987812 NaN NaN NaN \n", - "872953842 NaN NaN NaN \n", - "873774125 NaN NaN NaN \n", - "874790261 NaN NaN NaN \n", - "875207834 NaN NaN NaN \n", + " correct_reject_trial_count file_id trial_count \\\n", + "behavior_session_id \n", + "870987812 0 1941 121 \n", + "872953842 45 1942 564 \n", + "873774125 38 1943 548 \n", + "874790261 42 1944 492 \n", + "875207834 41 1945 504 \n", "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "870987812 2019-05-17 14:46:33.550000+00:00 \n", - "872953842 2019-05-21 13:22:20.613000+00:00 \n", - "873774125 2019-05-22 13:19:52.005000+00:00 \n", - "874790261 2019-05-23 13:40:31.405000+00:00 \n", - "875207834 2019-05-24 11:06:39.332000+00:00 \n", + " false_alarm_trial_count \n", + "behavior_session_id \n", + "870987812 0 \n", + "872953842 4 \n", + "873774125 3 \n", + "874790261 0 \n", + "875207834 3 \n", "\n", - " session_type file_id \n", - "behavior_session_id \n", - "870987812 TRAINING_0_gratings_autorewards_15min 1.085368e+09 \n", - "872953842 TRAINING_1_gratings 1.085368e+09 \n", - "873774125 TRAINING_1_gratings 1.085368e+09 \n", - "874790261 TRAINING_1_gratings 1.085368e+09 \n", - "875207834 TRAINING_1_gratings 1.085368e+09 " + "[5 rows x 34 columns]" ] }, "execution_count": 15, @@ -1509,10 +7530,10 @@ "id": "839e5c40", "metadata": { "papermill": { - "duration": 0.017925, - "end_time": "2023-09-27T21:52:46.294729", + "duration": 0.016556, + "end_time": "2023-11-06T22:16:27.228788", "exception": false, - "start_time": "2023-09-27T21:52:46.276804", + "start_time": "2023-11-06T22:16:27.212232", "status": "completed" }, "pycharm": { @@ -1534,16 +7555,16 @@ "id": "91e77985", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:46.335937Z", - "iopub.status.busy": "2023-09-27T21:52:46.335209Z", - "iopub.status.idle": "2023-09-27T21:52:46.374000Z", - "shell.execute_reply": "2023-09-27T21:52:46.372975Z" + "iopub.execute_input": "2023-11-06T22:16:27.263991Z", + "iopub.status.busy": "2023-11-06T22:16:27.263348Z", + "iopub.status.idle": "2023-11-06T22:16:27.285690Z", + "shell.execute_reply": "2023-11-06T22:16:27.285061Z" }, "papermill": { - "duration": 0.064048, - "end_time": "2023-09-27T21:52:46.377457", + "duration": 0.041673, + "end_time": "2023-11-06T22:16:27.287169", "exception": false, - "start_time": "2023-09-27T21:52:46.313409", + "start_time": "2023-11-06T22:16:27.245496", "status": "completed" }, "pycharm": { @@ -1556,7 +7577,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of behavior + ophys sessions: 705\n" + "Total number of behavior + ophys sessions: 703\n" ] }, { @@ -1580,25 +7601,27 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", - " session_number\n", + " ...\n", + " behavior_type\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " behavior_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", " date_of_acquisition\n", - " session_type\n", + " equipment_name\n", + " num_depths_per_area\n", + " ophys_experiment_id\n", + " num_targeted_structures\n", " \n", " \n", " ophys_session_id\n", @@ -1621,172 +7644,137 @@ " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " 951410079\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951520319\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 206\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 0\n", " 65\n", - " 0.0\n", - " 951520319\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 4\n", " [951980471, 951980473, 951980475, 951980479, 9...\n", - " [1018028360, 1018028345, 1018028357, 101802834...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", + " 2\n", " \n", " \n", " 952430817\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 952554548\n", + " [1018028339, 1018028345, 1018028354, 1018028357]\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 209.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 2\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 209\n", + " ...\n", + " passive_viewing\n", + " Familiar\n", + " 0\n", " 66\n", - " 1.0\n", - " 952554548\n", + " 1\n", + " 2019-09-23 08:45:38.490000+00:00\n", + " MESO.1\n", + " 4\n", " [953659743, 953659745, 953659749, 953659752]\n", - " [1018028357, 1018028345, 1018028339, 1018028354]\n", - " VisualBehaviorMultiscope\n", - " 2019-09-23 08:13:07.627573+00:00\n", - " OPHYS_2_images_A_passive\n", + " 2\n", " \n", " \n", " 954954402\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 953982960\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 210.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 3\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 210\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 0\n", " 67\n", - " 2.0\n", - " 953982960\n", + " 2\n", + " 2019-09-24 09:01:31.582000+00:00\n", + " MESO.1\n", + " 4\n", " [958527464, 958527471, 958527474, 958527479, 9...\n", - " [1018028360, 1018028342, 1018028357, 101802835...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-24 16:00:00+00:00\n", - " OPHYS_3_images_A\n", + " 2\n", " \n", " \n", " 955775716\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 956010809\n", + " [1018028339, 1018028342, 1018028345]\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 212.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 3\n", - " 1.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 212\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 1\n", " 68\n", - " 3.0\n", - " 956010809\n", + " 3\n", + " 2019-09-26 09:22:21.772000+00:00\n", + " MESO.1\n", + " 4\n", " [956941841, 956941844, 956941846]\n", - " [1018028342, 1018028339, 1018028345]\n", - " VisualBehaviorMultiscope\n", - " 2019-09-26 08:44:37.199778+00:00\n", - " OPHYS_3_images_A\n", + " 2\n", " \n", " \n", " 957020350\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 957032492\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 213.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 4\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 213\n", + " ...\n", + " active_behavior\n", + " Novel 1\n", " 0\n", - " 4.0\n", - " 957032492\n", + " 0\n", + " 4\n", + " 2019-09-27 08:58:37.005000+00:00\n", + " MESO.1\n", + " 4\n", " [957759562, 957759564, 957759566, 957759570, 9...\n", - " [1018028354, 1018028345, 1018028360, 101802834...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-27 08:28:05.415005+00:00\n", - " OPHYS_4_images_B\n", + " 2\n", " \n", " \n", "\n", + "

    5 rows × 25 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_session_id \n", - "951410079 MESO.1 \n", - "952430817 MESO.1 \n", - "954954402 MESO.1 \n", - "955775716 MESO.1 \n", - "957020350 MESO.1 \n", - "\n", - " full_genotype mouse_id \\\n", - "ophys_session_id \n", - "951410079 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "952430817 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "954954402 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "955775716 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "957020350 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "\n", - " reporter_line driver_line sex age_in_days \\\n", - "ophys_session_id \n", - "951410079 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 206.0 \n", - "952430817 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 209.0 \n", - "954954402 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 210.0 \n", - "955775716 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 212.0 \n", - "957020350 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 213.0 \n", - "\n", - " cre_line indicator session_number \\\n", - "ophys_session_id \n", - "951410079 Sst-IRES-Cre GCaMP6f 1 \n", - "952430817 Sst-IRES-Cre GCaMP6f 2 \n", - "954954402 Sst-IRES-Cre GCaMP6f 3 \n", - "955775716 Sst-IRES-Cre GCaMP6f 3 \n", - "957020350 Sst-IRES-Cre GCaMP6f 4 \n", - "\n", - " prior_exposures_to_session_type \\\n", - "ophys_session_id \n", - "951410079 0.0 \n", - "952430817 0.0 \n", - "954954402 0.0 \n", - "955775716 1.0 \n", - "957020350 0.0 \n", - "\n", - " prior_exposures_to_image_set prior_exposures_to_omissions \\\n", - "ophys_session_id \n", - "951410079 65 0.0 \n", - "952430817 66 1.0 \n", - "954954402 67 2.0 \n", - "955775716 68 3.0 \n", - "957020350 0 4.0 \n", - "\n", " behavior_session_id \\\n", "ophys_session_id \n", "951410079 951520319 \n", @@ -1795,6 +7783,70 @@ "955775716 956010809 \n", "957020350 957032492 \n", "\n", + " ophys_container_id mouse_id \\\n", + "ophys_session_id \n", + "951410079 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "952430817 [1018028339, 1018028345, 1018028354, 1018028357] 457841 \n", + "954954402 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "955775716 [1018028339, 1018028342, 1018028345] 457841 \n", + "957020350 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "\n", + " indicator full_genotype \\\n", + "ophys_session_id \n", + "951410079 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "952430817 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "954954402 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "955775716 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "957020350 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "\n", + " driver_line cre_line reporter_line \\\n", + "ophys_session_id \n", + "951410079 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "952430817 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "954954402 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "955775716 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "957020350 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "\n", + " sex age_in_days ... behavior_type experience_level \\\n", + "ophys_session_id ... \n", + "951410079 F 206 ... active_behavior Familiar \n", + "952430817 F 209 ... passive_viewing Familiar \n", + "954954402 F 210 ... active_behavior Familiar \n", + "955775716 F 212 ... active_behavior Familiar \n", + "957020350 F 213 ... active_behavior Novel 1 \n", + "\n", + " prior_exposures_to_session_type \\\n", + "ophys_session_id \n", + "951410079 0 \n", + "952430817 0 \n", + "954954402 0 \n", + "955775716 1 \n", + "957020350 0 \n", + "\n", + " prior_exposures_to_image_set prior_exposures_to_omissions \\\n", + "ophys_session_id \n", + "951410079 65 0 \n", + "952430817 66 1 \n", + "954954402 67 2 \n", + "955775716 68 3 \n", + "957020350 0 4 \n", + "\n", + " date_of_acquisition equipment_name \\\n", + "ophys_session_id \n", + "951410079 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "952430817 2019-09-23 08:45:38.490000+00:00 MESO.1 \n", + "954954402 2019-09-24 09:01:31.582000+00:00 MESO.1 \n", + "955775716 2019-09-26 09:22:21.772000+00:00 MESO.1 \n", + "957020350 2019-09-27 08:58:37.005000+00:00 MESO.1 \n", + "\n", + " num_depths_per_area \\\n", + "ophys_session_id \n", + "951410079 4 \n", + "952430817 4 \n", + "954954402 4 \n", + "955775716 4 \n", + "957020350 4 \n", + "\n", " ophys_experiment_id \\\n", "ophys_session_id \n", "951410079 [951980471, 951980473, 951980475, 951980479, 9... \n", @@ -1803,29 +7855,15 @@ "955775716 [956941841, 956941844, 956941846] \n", "957020350 [957759562, 957759564, 957759566, 957759570, 9... \n", "\n", - " ophys_container_id \\\n", - "ophys_session_id \n", - "951410079 [1018028360, 1018028345, 1018028357, 101802834... \n", - "952430817 [1018028357, 1018028345, 1018028339, 1018028354] \n", - "954954402 [1018028360, 1018028342, 1018028357, 101802835... \n", - "955775716 [1018028342, 1018028339, 1018028345] \n", - "957020350 [1018028354, 1018028345, 1018028360, 101802834... \n", + " num_targeted_structures \n", + "ophys_session_id \n", + "951410079 2 \n", + "952430817 2 \n", + "954954402 2 \n", + "955775716 2 \n", + "957020350 2 \n", "\n", - " project_code date_of_acquisition \\\n", - "ophys_session_id \n", - "951410079 VisualBehaviorMultiscope 2019-09-20 09:45:29.897856+00:00 \n", - "952430817 VisualBehaviorMultiscope 2019-09-23 08:13:07.627573+00:00 \n", - "954954402 VisualBehaviorMultiscope 2019-09-24 16:00:00+00:00 \n", - "955775716 VisualBehaviorMultiscope 2019-09-26 08:44:37.199778+00:00 \n", - "957020350 VisualBehaviorMultiscope 2019-09-27 08:28:05.415005+00:00 \n", - "\n", - " session_type \n", - "ophys_session_id \n", - "951410079 OPHYS_1_images_A \n", - "952430817 OPHYS_2_images_A_passive \n", - "954954402 OPHYS_3_images_A \n", - "955775716 OPHYS_3_images_A \n", - "957020350 OPHYS_4_images_B " + "[5 rows x 25 columns]" ] }, "execution_count": 16, @@ -1846,10 +7884,10 @@ "id": "965547eb", "metadata": { "papermill": { - "duration": 0.02066, - "end_time": "2023-09-27T21:52:46.418741", + "duration": 0.017361, + "end_time": "2023-11-06T22:16:27.322034", "exception": false, - "start_time": "2023-09-27T21:52:46.398081", + "start_time": "2023-11-06T22:16:27.304673", "status": "completed" }, "pycharm": { @@ -1871,16 +7909,16 @@ "id": "8426cacb", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:46.464200Z", - "iopub.status.busy": "2023-09-27T21:52:46.463425Z", - "iopub.status.idle": "2023-09-27T21:52:46.495807Z", - "shell.execute_reply": "2023-09-27T21:52:46.494725Z" + "iopub.execute_input": "2023-11-06T22:16:27.358726Z", + "iopub.status.busy": "2023-11-06T22:16:27.358198Z", + "iopub.status.idle": "2023-11-06T22:16:27.377281Z", + "shell.execute_reply": "2023-11-06T22:16:27.376664Z" }, "papermill": { - "duration": 0.057092, - "end_time": "2023-09-27T21:52:46.497936", + "duration": 0.038935, + "end_time": "2023-11-06T22:16:27.378658", "exception": false, - "start_time": "2023-09-27T21:52:46.440844", + "start_time": "2023-11-06T22:16:27.339723", "status": "completed" }, "pycharm": { @@ -1893,7 +7931,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of behavior ophys experiments: 1941\n" + "Total number of behavior ophys experiments: 1936\n" ] }, { @@ -1917,26 +7955,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", - " sex\n", - " age_in_days\n", " cre_line\n", - " indicator\n", - " session_number\n", + " reporter_line\n", + " sex\n", " ...\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", - " date_of_acquisition\n", - " session_type\n", - " experience_level\n", " passive\n", - " image_set\n", + " experience_level\n", + " prior_exposures_to_session_type\n", + " prior_exposures_to_image_set\n", + " prior_exposures_to_omissions\n", + " date_of_acquisition\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -1966,196 +8004,212 @@ " \n", " \n", " \n", - " 951980486\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980471\n", + " 951520319\n", + " 951410079\n", + " 1018028342\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028360\n", - " VisualBehaviorMultiscope\n", - " 300\n", - " VISl\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400869\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 0\n", " \n", " \n", " 951980473\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951520319\n", + " 951410079\n", + " 1018028345\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028345\n", - " VisualBehaviorMultiscope\n", - " 225\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400919\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 1\n", " \n", " \n", - " 951980481\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980475\n", + " 951520319\n", + " 951410079\n", + " 1018028339\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028357\n", - " VisualBehaviorMultiscope\n", - " 225\n", - " VISl\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400972\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 2\n", " \n", " \n", - " 951980471\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980479\n", + " 951520319\n", + " 951410079\n", + " 1018028354\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028342\n", - " VisualBehaviorMultiscope\n", - " 150\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085394308\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 3\n", " \n", " \n", - " 951980475\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980481\n", + " 951520319\n", + " 951410079\n", + " 1018028357\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028339\n", - " VisualBehaviorMultiscope\n", - " 75\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400920\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 4\n", " \n", " \n", "\n", - "

    5 rows × 25 columns

    \n", + "

    5 rows × 30 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "951980486 MESO.1 \n", - "951980473 MESO.1 \n", - "951980481 MESO.1 \n", - "951980471 MESO.1 \n", - "951980475 MESO.1 \n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "951980471 951520319 951410079 \n", + "951980473 951520319 951410079 \n", + "951980475 951520319 951410079 \n", + "951980479 951520319 951410079 \n", + "951980481 951520319 951410079 \n", "\n", - " full_genotype mouse_id \\\n", - "ophys_experiment_id \n", - "951980486 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980473 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980481 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980471 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980475 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "951980471 1018028342 457841 GCaMP6f \n", + "951980473 1018028345 457841 GCaMP6f \n", + "951980475 1018028339 457841 GCaMP6f \n", + "951980479 1018028354 457841 GCaMP6f \n", + "951980481 1018028357 457841 GCaMP6f \n", "\n", - " reporter_line driver_line sex \\\n", - "ophys_experiment_id \n", - "951980486 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980473 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980481 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980471 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980475 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", + " full_genotype \\\n", + "ophys_experiment_id \n", + "951980471 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980473 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980475 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980479 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980481 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " age_in_days cre_line indicator session_number ... \\\n", - "ophys_experiment_id ... \n", - "951980486 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980473 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980481 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980471 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980475 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", + " driver_line cre_line reporter_line \\\n", + "ophys_experiment_id \n", + "951980471 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980473 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980475 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980479 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980481 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " ophys_container_id project_code \\\n", - "ophys_experiment_id \n", - "951980486 1018028360 VisualBehaviorMultiscope \n", - "951980473 1018028345 VisualBehaviorMultiscope \n", - "951980481 1018028357 VisualBehaviorMultiscope \n", - "951980471 1018028342 VisualBehaviorMultiscope \n", - "951980475 1018028339 VisualBehaviorMultiscope \n", + " sex ... passive experience_level \\\n", + "ophys_experiment_id ... \n", + "951980471 F ... False Familiar \n", + "951980473 F ... False Familiar \n", + "951980475 F ... False Familiar \n", + "951980479 F ... False Familiar \n", + "951980481 F ... False Familiar \n", "\n", - " imaging_depth targeted_structure \\\n", - "ophys_experiment_id \n", - "951980486 300 VISl \n", - "951980473 225 VISp \n", - "951980481 225 VISl \n", - "951980471 150 VISp \n", - "951980475 75 VISp \n", + " prior_exposures_to_session_type \\\n", + "ophys_experiment_id \n", + "951980471 0 \n", + "951980473 0 \n", + "951980475 0 \n", + "951980479 0 \n", + "951980481 0 \n", "\n", - " date_of_acquisition session_type \\\n", - "ophys_experiment_id \n", - "951980486 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980473 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980481 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980471 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980475 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", + " prior_exposures_to_image_set \\\n", + "ophys_experiment_id \n", + "951980471 65 \n", + "951980473 65 \n", + "951980475 65 \n", + "951980479 65 \n", + "951980481 65 \n", "\n", - " experience_level passive image_set file_id \n", - "ophys_experiment_id \n", - "951980486 Familiar False A 1085400869 \n", - "951980473 Familiar False A 1085400919 \n", - "951980481 Familiar False A 1085400972 \n", - "951980471 Familiar False A 1085394308 \n", - "951980475 Familiar False A 1085400920 \n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "951980471 0 \n", + "951980473 0 \n", + "951980475 0 \n", + "951980479 0 \n", + "951980481 0 \n", "\n", - "[5 rows x 25 columns]" + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "951980471 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980473 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980475 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980479 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980481 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "\n", + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "951980471 2021-03-25 848974280 0 \n", + "951980473 2021-03-25 848974280 1 \n", + "951980475 2021-03-25 848974280 2 \n", + "951980479 2021-03-25 848974280 3 \n", + "951980481 2021-03-25 848974280 4 \n", + "\n", + "[5 rows x 30 columns]" ] }, "execution_count": 17, @@ -2176,10 +8230,10 @@ "id": "58332985", "metadata": { "papermill": { - "duration": 0.020738, - "end_time": "2023-09-27T21:52:46.541601", + "duration": 0.017732, + "end_time": "2023-11-06T22:16:27.414186", "exception": false, - "start_time": "2023-09-27T21:52:46.520863", + "start_time": "2023-11-06T22:16:27.396454", "status": "completed" }, "pycharm": { @@ -2201,16 +8255,16 @@ "id": "6b02f690", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:46.587310Z", - "iopub.status.busy": "2023-09-27T21:52:46.586381Z", - "iopub.status.idle": "2023-09-27T21:52:53.050706Z", - "shell.execute_reply": "2023-09-27T21:52:53.049540Z" + "iopub.execute_input": "2023-11-06T22:16:27.450447Z", + "iopub.status.busy": "2023-11-06T22:16:27.449837Z", + "iopub.status.idle": "2023-11-06T22:16:33.755258Z", + "shell.execute_reply": "2023-11-06T22:16:33.754407Z" }, "papermill": { - "duration": 6.490504, - "end_time": "2023-09-27T21:52:53.053659", + "duration": 6.325302, + "end_time": "2023-11-06T22:16:33.757123", "exception": false, - "start_time": "2023-09-27T21:52:46.563155", + "start_time": "2023-11-06T22:16:27.431821", "status": "completed" }, "pycharm": { @@ -2223,11 +8277,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_session_870987812.nwb: 100%|██████████| 51.7M/51.7M [00:02<00:00, 20.9MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_session_870987812.nwb: 100%|██████████| 51.7M/51.7M [00:03<00:00, 14.0MMB/s]\n" ] } ], @@ -2241,16 +8291,16 @@ "id": "699acb2c", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T21:52:53.100307Z", - "iopub.status.busy": "2023-09-27T21:52:53.099420Z", - "iopub.status.idle": "2023-09-27T21:52:53.105344Z", - "shell.execute_reply": "2023-09-27T21:52:53.104301Z" + "iopub.execute_input": "2023-11-06T22:16:33.797535Z", + "iopub.status.busy": "2023-11-06T22:16:33.796935Z", + "iopub.status.idle": "2023-11-06T22:16:33.801234Z", + "shell.execute_reply": "2023-11-06T22:16:33.800466Z" }, "papermill": { - "duration": 0.031823, - "end_time": "2023-09-27T21:52:53.107671", + "duration": 0.025928, + "end_time": "2023-11-06T22:16:33.802663", "exception": false, - "start_time": 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+15165,18 @@ }, "papermill": { "default_parameters": {}, - "duration": 58.956774, - "end_time": "2023-09-27T21:53:18.526188", + "duration": 43.860532, + "end_time": "2023-11-06T22:16:53.581653", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_ophys_data_access.ipynb", - "output_path": "/tmp/tmpwro92p2m/scratch_nb.ipynb", + "output_path": "/tmp/tmpp6_aqlqd/scratch_nb.ipynb", "parameters": { "DOWNLOAD_COMPLETE_DATASET": false, - "output_dir": "/tmp/tmpwro92p2m", + "output_dir": "/tmp/tmpp6_aqlqd", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T21:52:19.569414", + "start_time": "2023-11-06T22:16:09.721121", "version": "2.4.0" } }, diff --git a/doc_template/examples_root/examples/nb/visual_behavior_ophys_dataset_manifest.ipynb b/doc_template/examples_root/examples/nb/visual_behavior_ophys_dataset_manifest.ipynb index d4f234e63..cfb440652 100644 --- a/doc_template/examples_root/examples/nb/visual_behavior_ophys_dataset_manifest.ipynb +++ b/doc_template/examples_root/examples/nb/visual_behavior_ophys_dataset_manifest.ipynb @@ -5,10 +5,10 @@ "id": "5851560d", "metadata": { "papermill": { - "duration": 0.038519, - "end_time": "2023-09-27T22:43:55.604462", + "duration": 0.023434, + "end_time": "2023-11-06T22:11:05.056853", "exception": false, - "start_time": "2023-09-27T22:43:55.565943", + "start_time": "2023-11-06T22:11:05.033419", "status": "completed" }, "pycharm": { @@ -25,10 +25,10 @@ "id": "34c30ddc", "metadata": { "papermill": { - "duration": 0.039625, - "end_time": "2023-09-27T22:43:55.680336", + "duration": 0.021403, + "end_time": "2023-11-06T22:11:05.100198", "exception": false, - "start_time": "2023-09-27T22:43:55.640711", + "start_time": "2023-11-06T22:11:05.078795", "status": "completed" }, "pycharm": { @@ -47,10 +47,10 @@ "id": "f5cf03c7", "metadata": { "papermill": { - "duration": 0.035013, - "end_time": "2023-09-27T22:43:55.752763", + "duration": 0.022369, + "end_time": "2023-11-06T22:11:05.144382", "exception": false, - "start_time": "2023-09-27T22:43:55.717750", + "start_time": "2023-11-06T22:11:05.122013", "status": "completed" }, "pycharm": { @@ -67,10 +67,10 @@ "id": "7910fadd", "metadata": { "papermill": { - "duration": 0.035398, - "end_time": "2023-09-27T22:43:55.882238", + "duration": 0.021797, + "end_time": "2023-11-06T22:11:05.188389", "exception": false, - "start_time": "2023-09-27T22:43:55.846840", + "start_time": "2023-11-06T22:11:05.166592", "status": "completed" }, "pycharm": { @@ -88,16 +88,16 @@ "id": "1823b226", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:43:55.954439Z", - "iopub.status.busy": "2023-09-27T22:43:55.953660Z", - "iopub.status.idle": "2023-09-27T22:44:00.111055Z", - "shell.execute_reply": "2023-09-27T22:44:00.109317Z" + "iopub.execute_input": "2023-11-06T22:11:05.234398Z", + "iopub.status.busy": "2023-11-06T22:11:05.234095Z", + "iopub.status.idle": "2023-11-06T22:11:07.388282Z", + "shell.execute_reply": "2023-11-06T22:11:07.387506Z" }, "papermill": { - "duration": 4.196876, - "end_time": "2023-09-27T22:44:00.114784", + "duration": 2.179369, + "end_time": "2023-11-06T22:11:07.390170", "exception": false, - "start_time": "2023-09-27T22:43:55.917908", + "start_time": "2023-11-06T22:11:05.210801", "status": "completed" }, "pycharm": { @@ -111,9 +111,9 @@ "output_type": "stream", "text": [ "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -124,33 +124,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2023.1.0)\r\n", "Requirement already satisfied: 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/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -158,14 +158,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -173,29 +173,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -208,10 +208,10 @@ "id": "558d41de", "metadata": { "papermill": { - "duration": 0.040749, - "end_time": "2023-09-27T22:44:00.194688", + "duration": 0.022349, + "end_time": "2023-11-06T22:11:07.435594", "exception": false, - "start_time": "2023-09-27T22:44:00.153939", + "start_time": "2023-11-06T22:11:07.413245", "status": "completed" }, "pycharm": { @@ -228,10 +228,10 @@ "id": "a5394404", "metadata": { "papermill": { - "duration": 0.038164, - "end_time": "2023-09-27T22:44:00.269674", + "duration": 0.022592, + "end_time": "2023-11-06T22:11:07.480497", "exception": false, - "start_time": "2023-09-27T22:44:00.231510", + "start_time": "2023-11-06T22:11:07.457905", "status": "completed" }, "pycharm": { @@ -252,16 +252,16 @@ "id": "fdc24a64", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:00.345204Z", - "iopub.status.busy": "2023-09-27T22:44:00.344782Z", - "iopub.status.idle": "2023-09-27T22:44:06.949606Z", - "shell.execute_reply": "2023-09-27T22:44:06.948059Z" + "iopub.execute_input": "2023-11-06T22:11:07.528295Z", + "iopub.status.busy": "2023-11-06T22:11:07.527654Z", + "iopub.status.idle": "2023-11-06T22:11:11.517006Z", + "shell.execute_reply": "2023-11-06T22:11:11.516196Z" }, "papermill": { - "duration": 6.646973, - "end_time": "2023-09-27T22:44:06.952889", + "duration": 4.015122, + "end_time": "2023-11-06T22:11:11.518814", "exception": false, - "start_time": "2023-09-27T22:44:00.305916", + "start_time": "2023-11-06T22:11:07.503692", "status": "completed" }, "pycharm": { @@ -274,11 +274,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.2.1)\r\n", + "Requirement already satisfied: pip in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (23.3.1)\r\n", "Requirement already satisfied: allensdk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (2.16.0)\r\n", - "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.7)\r\n", - "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", - "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.9.0)\r\n", + "Requirement already satisfied: psycopg2-binary in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.9.9)\r\n", + "Requirement already satisfied: hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.* in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.11.0)\r\n", + "Requirement already satisfied: h5py in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.10.0)\r\n", "Requirement already satisfied: matplotlib in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.7.3)\r\n", "Requirement already satisfied: numpy<1.24 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.23.5)\r\n", "Requirement already satisfied: pandas==1.5.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.5.3)\r\n", @@ -289,33 +289,33 @@ "Requirement already satisfied: future in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.18.3)\r\n", "Requirement already satisfied: requests in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.31.0)\r\n", "Requirement already satisfied: requests-toolbelt in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.0.0)\r\n", - "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.1)\r\n", + "Requirement already satisfied: simplejson in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.19.2)\r\n", "Requirement already satisfied: scikit-image in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.21.0)\r\n", "Requirement already satisfied: scikit-build in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.17.6)\r\n", "Requirement already satisfied: statsmodels in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.14.0)\r\n", - "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.0)\r\n", + "Requirement already satisfied: simpleitk in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.3.1)\r\n", "Requirement already satisfied: argschema in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.4)\r\n", "Requirement already satisfied: glymur in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (0.12.8)\r\n", "Requirement already satisfied: xarray<2023.2.0 in 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/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (1.28.79)\r\n", + "Requirement already satisfied: semver in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cachetools in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (5.3.2)\r\n", + "Requirement already satisfied: sqlalchemy in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.0.23)\r\n", "Requirement already satisfied: python-dateutil in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from allensdk) (2.8.2)\r\n", "Requirement already satisfied: pytz>=2020.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pandas==1.5.3->allensdk) (2023.3.post1)\r\n", "Requirement already satisfied: importlib-resources in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (6.1.0)\r\n", - "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.1)\r\n", - "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.17.32)\r\n", - "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.1)\r\n", + "Requirement already satisfied: jsonschema>=2.6.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (4.19.2)\r\n", + "Requirement already satisfied: ruamel-yaml>=0.16 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.18.5)\r\n", + "Requirement already satisfied: packaging>=21.3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from xarray<2023.2.0->allensdk) (23.2)\r\n", "Requirement already satisfied: attrs>=17.3.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (23.1.0)\r\n", - "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.2.0)\r\n", + "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (3.3.2)\r\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (6.0.4)\r\n", "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (4.0.3)\r\n", "Requirement already satisfied: yarl<2.0,>=1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.9.2)\r\n", @@ -323,14 +323,14 @@ "Requirement already satisfied: aiosignal>=1.1.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from aiohttp->allensdk) (1.3.1)\r\n", "Requirement already satisfied: marshmallow<4.0,>=3.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (3.20.1)\r\n", "Requirement already satisfied: pyyaml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from argschema->allensdk) (6.0.1)\r\n", - "Requirement already satisfied: botocore<1.32.0,>=1.31.56 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.56)\r\n", + "Requirement already satisfied: botocore<1.32.0,>=1.31.79 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.31.79)\r\n", "Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (1.0.1)\r\n", "Requirement already satisfied: s3transfer<0.8.0,>=0.7.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from boto3->allensdk) (0.7.0)\r\n", "Requirement already satisfied: lxml in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from glymur->allensdk) (4.9.3)\r\n", "Requirement already satisfied: MarkupSafe>=2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jinja2->allensdk) (2.1.3)\r\n", "Requirement already satisfied: contourpy>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.1.1)\r\n", - "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.11.0)\r\n", - "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.42.1)\r\n", + "Requirement already satisfied: cycler>=0.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (0.12.1)\r\n", + "Requirement already satisfied: fonttools>=4.22.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (4.44.0)\r\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (1.4.5)\r\n", "Requirement already satisfied: pillow>=6.2.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (10.0.1)\r\n", "Requirement already satisfied: pyparsing>=2.3.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from matplotlib->allensdk) (3.1.1)\r\n", @@ -338,29 +338,29 @@ "Requirement already satisfied: nptyping in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (2.5.0)\r\n", "Requirement already satisfied: typing-extensions in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from pynrrd->allensdk) (4.8.0)\r\n", "Requirement already satisfied: idna<4,>=2.5 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (3.4)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.16)\r\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (1.26.18)\r\n", "Requirement already satisfied: certifi>=2017.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from requests->allensdk) (2023.7.22)\r\n", "Requirement already satisfied: distro in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (1.8.0)\r\n", "Requirement already satisfied: tomli in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (2.0.1)\r\n", - "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.2)\r\n", + "Requirement already satisfied: wheel>=0.32.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-build->allensdk) (0.41.3)\r\n", "Requirement already satisfied: networkx>=2.8 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (3.1)\r\n", - "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.31.4)\r\n", + "Requirement already satisfied: imageio>=2.27 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2.32.0)\r\n", "Requirement already satisfied: tifffile>=2022.8.12 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (2023.7.10)\r\n", "Requirement already satisfied: PyWavelets>=1.1.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (1.4.1)\r\n", "Requirement already satisfied: lazy_loader>=0.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from scikit-image->allensdk) (0.3)\r\n", - "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (2.0.2)\r\n", + "Requirement already satisfied: greenlet!=0.4.17 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from sqlalchemy->allensdk) (3.0.1)\r\n", "Requirement already satisfied: patsy>=0.5.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from statsmodels->allensdk) (0.5.3)\r\n", - "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.2)\r\n", + "Requirement already satisfied: cython>=0.29.21 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (3.0.5)\r\n", "Requirement already satisfied: numexpr>=2.6.2 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.8.6)\r\n", "Requirement already satisfied: blosc2~=2.0.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (2.0.0)\r\n", "Requirement already satisfied: py-cpuinfo in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from tables->allensdk) (9.0.0)\r\n", - "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.6)\r\n", + "Requirement already satisfied: msgpack in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from blosc2~=2.0.0->tables->allensdk) (1.0.7)\r\n", "Requirement already satisfied: zipp>=3.1.0 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from importlib-resources->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (3.17.0)\r\n", "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (2023.7.1)\r\n", "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (1.3.10)\r\n", "Requirement already satisfied: referencing>=0.28.4 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.30.2)\r\n", - "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.10.3)\r\n", - "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.7)\r\n" + "Requirement already satisfied: rpds-py>=0.7.1 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from jsonschema>=2.6.0->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.12.0)\r\n", + "Requirement already satisfied: ruamel.yaml.clib>=0.2.7 in /opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages (from ruamel-yaml>=0.16->hdmf!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*->allensdk) (0.2.8)\r\n" ] } ], @@ -374,10 +374,10 @@ "id": "d26db20b", "metadata": { "papermill": { - "duration": 0.037994, - "end_time": "2023-09-27T22:44:07.038353", + "duration": 0.023429, + "end_time": "2023-11-06T22:11:11.565868", "exception": false, - "start_time": "2023-09-27T22:44:07.000359", + "start_time": "2023-11-06T22:11:11.542439", "status": "completed" }, "pycharm": { @@ -395,16 +395,16 @@ "id": "61cecf93", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:07.114982Z", - "iopub.status.busy": "2023-09-27T22:44:07.113944Z", - "iopub.status.idle": "2023-09-27T22:44:14.542942Z", - "shell.execute_reply": "2023-09-27T22:44:14.541778Z" + "iopub.execute_input": "2023-11-06T22:11:11.613867Z", + "iopub.status.busy": "2023-11-06T22:11:11.613397Z", + "iopub.status.idle": "2023-11-06T22:11:16.331672Z", + "shell.execute_reply": "2023-11-06T22:11:16.330913Z" }, "papermill": { - "duration": 7.469979, - "end_time": "2023-09-27T22:44:14.545587", + "duration": 4.744719, + "end_time": "2023-11-06T22:11:16.333538", "exception": false, - "start_time": "2023-09-27T22:44:07.075608", + "start_time": "2023-11-06T22:11:11.588819", "status": "completed" }, "pycharm": { @@ -434,10 +434,10 @@ "id": "4bb898d4", "metadata": { "papermill": { - "duration": 0.053897, - "end_time": "2023-09-27T22:44:14.641720", + "duration": 0.023755, + "end_time": "2023-11-06T22:11:16.381209", "exception": false, - "start_time": "2023-09-27T22:44:14.587823", + "start_time": "2023-11-06T22:11:16.357454", "status": "completed" }, "pycharm": { @@ -455,16 +455,16 @@ "id": "003ddb42", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:14.736464Z", - "iopub.status.busy": "2023-09-27T22:44:14.735377Z", - "iopub.status.idle": "2023-09-27T22:44:14.743930Z", - "shell.execute_reply": "2023-09-27T22:44:14.742796Z" + "iopub.execute_input": "2023-11-06T22:11:16.431156Z", + "iopub.status.busy": "2023-11-06T22:11:16.430312Z", + "iopub.status.idle": "2023-11-06T22:11:16.434031Z", + "shell.execute_reply": "2023-11-06T22:11:16.433314Z" }, "papermill": { - "duration": 0.062654, - "end_time": "2023-09-27T22:44:14.746523", + "duration": 0.030618, + "end_time": "2023-11-06T22:11:16.435653", "exception": false, - "start_time": "2023-09-27T22:44:14.683869", + "start_time": "2023-11-06T22:11:16.405035", "status": "completed" }, "pycharm": { @@ -486,16 +486,16 @@ "id": "f0b38233", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:14.956661Z", - "iopub.status.busy": "2023-09-27T22:44:14.956056Z", - "iopub.status.idle": "2023-09-27T22:44:17.646631Z", - "shell.execute_reply": "2023-09-27T22:44:17.645406Z" + "iopub.execute_input": "2023-11-06T22:11:16.536746Z", + "iopub.status.busy": "2023-11-06T22:11:16.536114Z", + "iopub.status.idle": "2023-11-06T22:11:19.562817Z", + "shell.execute_reply": "2023-11-06T22:11:19.562085Z" }, "papermill": { - "duration": 2.738246, - "end_time": "2023-09-27T22:44:17.650088", + "duration": 3.052313, + "end_time": "2023-11-06T22:11:19.564428", "exception": false, - "start_time": "2023-09-27T22:44:14.911842", + "start_time": "2023-11-06T22:11:16.512115", "status": "completed" }, "pycharm": { @@ -508,7 +508,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:413: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/api/cloud_cache/cloud_cache.py:439: MissingLocalManifestWarning: This cache directory appears to contain data files, but it has no record of what those files are. You might want to consider running\n", "\n", "VisualBehaviorOphysProjectCache.construct_local_manifest()\n", "\n", @@ -516,14 +516,20 @@ "\n", "To avoid this warning in the future, make sure that\n", "\n", - "/tmp/tmpaeoh_xjx/_downloaded_data.json\n", + "/tmp/tmpw52q7175/_downloaded_data.json\n", "\n", "is not deleted between instantiations of this cache\n", " warnings.warn(msg, MissingLocalManifestWarning)\n", - "ophys_session_table.csv: 100%|██████████| 227k/227k [00:00<00:00, 1.38MMB/s] \n", - "behavior_session_table.csv: 100%|██████████| 1.21M/1.21M [00:00<00:00, 8.09MMB/s]\n", - "ophys_experiment_table.csv: 100%|██████████| 610k/610k [00:00<00:00, 4.25MMB/s] \n", - "ophys_cells_table.csv: 100%|██████████| 4.29M/4.29M [00:00<00:00, 7.47MMB/s]\n" + "ophys_session_table.csv: 100%|██████████| 247k/247k [00:00<00:00, 1.59MMB/s] \n", + "behavior_session_table.csv: 100%|██████████| 1.59M/1.59M [00:00<00:00, 8.56MMB/s]\n", + "ophys_experiment_table.csv: 100%|██████████| 657k/657k [00:00<00:00, 5.67MMB/s] \n", + "ophys_cells_table.csv: 100%|██████████| 4.28M/4.28M [00:00<00:00, 6.65MMB/s]\n", + "/home/runner/work/AllenSDK/AllenSDK/allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py:135: UpdatedStimulusPresentationTableWarning: \n", + "\tAs of AllenSDK version 2.16.0, the latest Visual Behavior Ophys data has been significantly updated from previous releases. Specifically the user will need to update all processing of the stimulus_presentations tables. These tables now include multiple stimulus types delineated by the columns `stimulus_block` and `stimulus_block_name`.\n", + "\n", + "The data that was available in previous releases are stored in the block name containing 'change_detection' and can be accessed in the pandas table by using: \n", + "\t`stimulus_presentations[stimulus_presentations.stimulus_block_name.str.contains('change_detection')]`\n", + " warnings.warn(\n" ] } ], @@ -536,10 +542,10 @@ "id": "358b9ca2", "metadata": { "papermill": { - "duration": 0.041084, - "end_time": "2023-09-27T22:44:17.734807", + "duration": 0.024252, + "end_time": "2023-11-06T22:11:19.613658", "exception": false, - "start_time": "2023-09-27T22:44:17.693723", + "start_time": "2023-11-06T22:11:19.589406", "status": "completed" }, "pycharm": { @@ -566,10 +572,10 @@ "id": "745f2f80", "metadata": { "papermill": { - "duration": 0.043066, - "end_time": "2023-09-27T22:44:17.818320", + "duration": 0.023951, + "end_time": "2023-11-06T22:11:19.661964", "exception": false, - "start_time": "2023-09-27T22:44:17.775254", + "start_time": "2023-11-06T22:11:19.638013", "status": "completed" }, "pycharm": { @@ -586,10 +592,10 @@ "id": "5cba01b6", "metadata": { "papermill": { - "duration": 0.041594, - "end_time": "2023-09-27T22:44:17.899958", + "duration": 0.024724, + "end_time": "2023-11-06T22:11:19.711323", "exception": false, - "start_time": "2023-09-27T22:44:17.858364", + "start_time": "2023-11-06T22:11:19.686599", "status": "completed" }, "pycharm": { @@ -608,10 +614,10 @@ "id": "76cd72dd", "metadata": { "papermill": { - "duration": 0.047911, - "end_time": "2023-09-27T22:44:18.004616", + "duration": 0.024376, + "end_time": "2023-11-06T22:11:19.760356", "exception": false, - "start_time": "2023-09-27T22:44:17.956705", + "start_time": "2023-11-06T22:11:19.735980", "status": "completed" }, "pycharm": { @@ -628,10 +634,10 @@ "id": "ff3bee62", "metadata": { "papermill": { - "duration": 0.042603, - "end_time": "2023-09-27T22:44:18.092670", + "duration": 0.024402, + "end_time": "2023-11-06T22:11:19.809162", "exception": false, - "start_time": "2023-09-27T22:44:18.050067", + "start_time": "2023-11-06T22:11:19.784760", "status": "completed" }, "pycharm": { @@ -648,10 +654,10 @@ "id": "4938ec29", "metadata": { "papermill": { - "duration": 0.055015, - "end_time": "2023-09-27T22:44:18.202238", + "duration": 0.024537, + "end_time": "2023-11-06T22:11:19.858350", "exception": false, - "start_time": "2023-09-27T22:44:18.147223", + "start_time": "2023-11-06T22:11:19.833813", "status": "completed" }, "pycharm": { @@ -668,10 +674,10 @@ "id": "13b629b0", "metadata": { "papermill": { - "duration": 0.046419, - "end_time": "2023-09-27T22:44:18.316113", + "duration": 0.024468, + "end_time": "2023-11-06T22:11:19.907647", "exception": false, - "start_time": "2023-09-27T22:44:18.269694", + "start_time": "2023-11-06T22:11:19.883179", "status": "completed" }, "pycharm": { @@ -688,10 +694,10 @@ "id": "0750bf10", "metadata": { "papermill": { - "duration": 0.053965, - "end_time": "2023-09-27T22:44:18.414404", + "duration": 0.024632, + "end_time": "2023-11-06T22:11:19.956642", "exception": false, - "start_time": "2023-09-27T22:44:18.360439", + "start_time": "2023-11-06T22:11:19.932010", "status": "completed" }, "pycharm": { @@ -709,16 +715,16 @@ "id": "6de4c43a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:18.508396Z", - "iopub.status.busy": "2023-09-27T22:44:18.507097Z", - "iopub.status.idle": "2023-09-27T22:44:18.547377Z", - "shell.execute_reply": "2023-09-27T22:44:18.545993Z" + "iopub.execute_input": "2023-11-06T22:11:20.007595Z", + "iopub.status.busy": "2023-11-06T22:11:20.007080Z", + "iopub.status.idle": "2023-11-06T22:11:20.027535Z", + "shell.execute_reply": "2023-11-06T22:11:20.026806Z" }, "papermill": { - "duration": 0.087714, - "end_time": "2023-09-27T22:44:18.549816", + "duration": 0.047594, + "end_time": "2023-11-06T22:11:20.028909", "exception": false, - "start_time": "2023-09-27T22:44:18.462102", + "start_time": "2023-11-06T22:11:19.981315", "status": "completed" }, "pycharm": { @@ -731,7 +737,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of behavior sessions: 4787\n" + "Total number of behavior sessions: 4782\n" ] }, { @@ -755,25 +761,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", - " session_number\n", - " prior_exposures_to_session_type\n", - " prior_exposures_to_image_set\n", - " prior_exposures_to_omissions\n", - " ophys_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", - " date_of_acquisition\n", - " session_type\n", + " ...\n", + " num_targeted_structures\n", + " catch_trial_count\n", + " miss_trial_count\n", + " correct_reject_trial_count\n", + " go_trial_count\n", + " hit_trial_count\n", + " trial_count\n", + " false_alarm_trial_count\n", + " engaged_trial_count\n", " file_id\n", " \n", " \n", @@ -798,208 +805,201 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", " \n", " 870987812\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 80.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 0.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 80\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-17 14:46:33.550000+00:00\n", - " TRAINING_0_gratings_autorewards_15min\n", - " 1.085368e+09\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 121\n", + " 0\n", + " 70\n", + " 1941\n", " \n", " \n", " 872953842\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 84.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 0.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 84\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-21 13:22:20.613000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 49\n", + " 275\n", + " 45\n", + " 293\n", + " 18\n", + " 564\n", + " 4\n", + " 27\n", + " 1942\n", " \n", " \n", " 873774125\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 85.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 1.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 85\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-22 13:19:52.005000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 41\n", + " 300\n", + " 38\n", + " 314\n", + " 14\n", + " 548\n", + " 3\n", + " 0\n", + " 1943\n", " \n", " \n", " 874790261\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 86.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 2.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 86\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-23 13:40:31.405000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 42\n", + " 312\n", + " 42\n", + " 326\n", + " 14\n", + " 492\n", + " 0\n", + " 0\n", + " 1944\n", " \n", " \n", " 875207834\n", - " BEH.D-Box1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " <NA>\n", + " NaN\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 87.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " <NA>\n", - " 3.0\n", - " <NA>\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 87\n", + " ...\n", " <NA>\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 2019-05-24 11:06:39.332000+00:00\n", - " TRAINING_1_gratings\n", - " 1.085368e+09\n", + " 44\n", + " 300\n", + " 41\n", + " 322\n", + " 22\n", + " 504\n", + " 3\n", + " 5\n", + " 1945\n", " \n", " \n", "\n", + "

    5 rows × 34 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "behavior_session_id \n", - "870987812 BEH.D-Box1 \n", - "872953842 BEH.D-Box1 \n", - "873774125 BEH.D-Box1 \n", - "874790261 BEH.D-Box1 \n", - "875207834 BEH.D-Box1 \n", - "\n", - " full_genotype mouse_id \\\n", + " ophys_session_id ophys_container_id mouse_id indicator \\\n", "behavior_session_id \n", - "870987812 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "872953842 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "873774125 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "874790261 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "875207834 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", + "870987812 NaN 457841 GCaMP6f \n", + "872953842 NaN 457841 GCaMP6f \n", + "873774125 NaN 457841 GCaMP6f \n", + "874790261 NaN 457841 GCaMP6f \n", + "875207834 NaN 457841 GCaMP6f \n", "\n", - " reporter_line driver_line sex \\\n", - "behavior_session_id \n", - "870987812 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "872953842 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "873774125 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "874790261 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "875207834 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", + " full_genotype \\\n", + "behavior_session_id \n", + "870987812 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "872953842 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "873774125 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "874790261 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "875207834 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " age_in_days cre_line indicator session_number \\\n", - "behavior_session_id \n", - "870987812 80.0 Sst-IRES-Cre GCaMP6f \n", - "872953842 84.0 Sst-IRES-Cre GCaMP6f \n", - "873774125 85.0 Sst-IRES-Cre GCaMP6f \n", - "874790261 86.0 Sst-IRES-Cre GCaMP6f \n", - "875207834 87.0 Sst-IRES-Cre GCaMP6f \n", + " driver_line cre_line reporter_line \\\n", + "behavior_session_id \n", + "870987812 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "872953842 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "873774125 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "874790261 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "875207834 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " prior_exposures_to_session_type \\\n", - "behavior_session_id \n", - "870987812 0.0 \n", - "872953842 0.0 \n", - "873774125 1.0 \n", - "874790261 2.0 \n", - "875207834 3.0 \n", + " sex age_in_days ... num_targeted_structures \\\n", + "behavior_session_id ... \n", + "870987812 F 80 ... \n", + "872953842 F 84 ... \n", + "873774125 F 85 ... \n", + "874790261 F 86 ... \n", + "875207834 F 87 ... \n", "\n", - " prior_exposures_to_image_set \\\n", - "behavior_session_id \n", - "870987812 \n", - "872953842 \n", - "873774125 \n", - "874790261 \n", - "875207834 \n", + " catch_trial_count miss_trial_count \\\n", + "behavior_session_id \n", + "870987812 0 0 \n", + "872953842 49 275 \n", + "873774125 41 300 \n", + "874790261 42 312 \n", + "875207834 44 300 \n", "\n", - " prior_exposures_to_omissions ophys_session_id \\\n", - "behavior_session_id \n", - "870987812 0.0 \n", - "872953842 0.0 \n", - "873774125 0.0 \n", - "874790261 0.0 \n", - "875207834 0.0 \n", + " correct_reject_trial_count go_trial_count \\\n", + "behavior_session_id \n", + "870987812 0 0 \n", + "872953842 45 293 \n", + "873774125 38 314 \n", + "874790261 42 326 \n", + "875207834 41 322 \n", "\n", - " ophys_experiment_id ophys_container_id project_code \\\n", - "behavior_session_id \n", - "870987812 NaN NaN NaN \n", - "872953842 NaN NaN NaN \n", - "873774125 NaN NaN NaN \n", - "874790261 NaN NaN NaN \n", - "875207834 NaN NaN NaN \n", + " hit_trial_count trial_count false_alarm_trial_count \\\n", + "behavior_session_id \n", + "870987812 0 121 0 \n", + "872953842 18 564 4 \n", + "873774125 14 548 3 \n", + "874790261 14 492 0 \n", + "875207834 22 504 3 \n", "\n", - " date_of_acquisition \\\n", - "behavior_session_id \n", - "870987812 2019-05-17 14:46:33.550000+00:00 \n", - "872953842 2019-05-21 13:22:20.613000+00:00 \n", - "873774125 2019-05-22 13:19:52.005000+00:00 \n", - "874790261 2019-05-23 13:40:31.405000+00:00 \n", - "875207834 2019-05-24 11:06:39.332000+00:00 \n", + " engaged_trial_count file_id \n", + "behavior_session_id \n", + "870987812 70 1941 \n", + "872953842 27 1942 \n", + "873774125 0 1943 \n", + "874790261 0 1944 \n", + "875207834 5 1945 \n", "\n", - " session_type file_id \n", - "behavior_session_id \n", - "870987812 TRAINING_0_gratings_autorewards_15min 1.085368e+09 \n", - "872953842 TRAINING_1_gratings 1.085368e+09 \n", - "873774125 TRAINING_1_gratings 1.085368e+09 \n", - "874790261 TRAINING_1_gratings 1.085368e+09 \n", - "875207834 TRAINING_1_gratings 1.085368e+09 " + "[5 rows x 34 columns]" ] }, "execution_count": 7, @@ -1020,10 +1020,10 @@ "id": "23b2e84c", "metadata": { "papermill": { - "duration": 0.051256, - "end_time": "2023-09-27T22:44:18.648803", + "duration": 0.02523, + "end_time": "2023-11-06T22:11:20.080026", "exception": false, - "start_time": "2023-09-27T22:44:18.597547", + "start_time": "2023-11-06T22:11:20.054796", "status": "completed" }, "pycharm": { @@ -1041,16 +1041,16 @@ "id": "4ccde8b1", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:18.746503Z", - "iopub.status.busy": "2023-09-27T22:44:18.746034Z", - "iopub.status.idle": "2023-09-27T22:44:18.753211Z", - "shell.execute_reply": "2023-09-27T22:44:18.752359Z" + "iopub.execute_input": "2023-11-06T22:11:20.131682Z", + "iopub.status.busy": "2023-11-06T22:11:20.131016Z", + "iopub.status.idle": "2023-11-06T22:11:20.136072Z", + "shell.execute_reply": "2023-11-06T22:11:20.135438Z" }, "papermill": { - "duration": 0.059878, - "end_time": "2023-09-27T22:44:18.755562", + "duration": 0.03232, + "end_time": "2023-11-06T22:11:20.137527", "exception": false, - "start_time": "2023-09-27T22:44:18.695684", + "start_time": "2023-11-06T22:11:20.105207", "status": "completed" }, "pycharm": { @@ -1062,12 +1062,17 @@ { "data": { "text/plain": [ - "Index(['equipment_name', 'full_genotype', 'mouse_id', 'reporter_line',\n", - " 'driver_line', 'sex', 'age_in_days', 'cre_line', 'indicator',\n", - " 'session_number', 'prior_exposures_to_session_type',\n", + "Index(['ophys_session_id', 'ophys_container_id', 'mouse_id', 'indicator',\n", + " 'full_genotype', 'driver_line', 'cre_line', 'reporter_line', 'sex',\n", + " 'age_in_days', 'imaging_plane_group_count', 'project_code',\n", + " 'session_type', 'session_number', 'image_set', 'behavior_type',\n", + " 'experience_level', 'prior_exposures_to_session_type',\n", " 'prior_exposures_to_image_set', 'prior_exposures_to_omissions',\n", - " 'ophys_session_id', 'ophys_experiment_id', 'ophys_container_id',\n", - " 'project_code', 'date_of_acquisition', 'session_type', 'file_id'],\n", + " 'date_of_acquisition', 'equipment_name', 'num_depths_per_area',\n", + " 'ophys_experiment_id', 'num_targeted_structures', 'catch_trial_count',\n", + " 'miss_trial_count', 'correct_reject_trial_count', 'go_trial_count',\n", + " 'hit_trial_count', 'trial_count', 'false_alarm_trial_count',\n", + " 'engaged_trial_count', 'file_id'],\n", " dtype='object')" ] }, @@ -1085,10 +1090,10 @@ "id": "38a115a0", "metadata": { "papermill": { - "duration": 0.044601, - "end_time": "2023-09-27T22:44:18.847346", + "duration": 0.025276, + "end_time": "2023-11-06T22:11:20.188391", "exception": false, - "start_time": "2023-09-27T22:44:18.802745", + "start_time": "2023-11-06T22:11:20.163115", "status": "completed" }, "pycharm": { @@ -1106,16 +1111,16 @@ "id": "b20a7aae", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:18.936139Z", - "iopub.status.busy": "2023-09-27T22:44:18.935633Z", - "iopub.status.idle": "2023-09-27T22:44:18.943896Z", - 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"duration": 0.052064, - "end_time": "2023-09-27T22:44:21.532518", + "duration": 0.026387, + "end_time": "2023-11-06T22:11:21.698830", "exception": false, - "start_time": "2023-09-27T22:44:21.480454", + "start_time": "2023-11-06T22:11:21.672443", "status": "completed" }, "pycharm": { @@ -1936,10 +1941,10 @@ "id": "1e5955fc", "metadata": { "papermill": { - "duration": 0.042492, - "end_time": "2023-09-27T22:44:21.619366", + "duration": 0.026449, + "end_time": "2023-11-06T22:11:21.751997", "exception": false, - "start_time": "2023-09-27T22:44:21.576874", + "start_time": "2023-11-06T22:11:21.725548", "status": "completed" }, "pycharm": { @@ -1958,10 +1963,10 @@ "id": "17171d6e", "metadata": { "papermill": { - "duration": 0.048407, - "end_time": "2023-09-27T22:44:21.713258", + "duration": 0.025994, + "end_time": "2023-11-06T22:11:21.804322", "exception": false, - "start_time": "2023-09-27T22:44:21.664851", + "start_time": "2023-11-06T22:11:21.778328", "status": "completed" }, "pycharm": { @@ -1978,10 +1983,10 @@ "id": "dd6a406f", "metadata": { "papermill": { - "duration": 0.047087, - "end_time": "2023-09-27T22:44:21.804993", + "duration": 0.026242, + "end_time": "2023-11-06T22:11:21.856828", "exception": false, - "start_time": "2023-09-27T22:44:21.757906", + "start_time": "2023-11-06T22:11:21.830586", "status": "completed" }, "pycharm": { @@ -1998,10 +2003,10 @@ "id": "b7a28754", "metadata": { "papermill": { - "duration": 0.04583, - "end_time": "2023-09-27T22:44:21.901178", + "duration": 0.026619, + "end_time": "2023-11-06T22:11:21.910501", "exception": false, - "start_time": "2023-09-27T22:44:21.855348", + "start_time": "2023-11-06T22:11:21.883882", "status": "completed" }, "pycharm": { @@ -2018,10 +2023,10 @@ "id": "901b0840", "metadata": { "papermill": { - "duration": 0.042948, - "end_time": "2023-09-27T22:44:21.986887", + "duration": 0.025781, + "end_time": "2023-11-06T22:11:21.962484", "exception": false, - "start_time": "2023-09-27T22:44:21.943939", + "start_time": "2023-11-06T22:11:21.936703", "status": "completed" }, "pycharm": { @@ -2038,10 +2043,10 @@ "id": "6274c13d", "metadata": { "papermill": { - "duration": 0.043753, - "end_time": "2023-09-27T22:44:22.074351", + "duration": 0.026888, + "end_time": "2023-11-06T22:11:22.016018", "exception": false, - "start_time": "2023-09-27T22:44:22.030598", + "start_time": "2023-11-06T22:11:21.989130", "status": "completed" }, "pycharm": { @@ -2058,10 +2063,10 @@ "id": "1da1c171", "metadata": { "papermill": { - "duration": 0.04181, - "end_time": "2023-09-27T22:44:22.159554", + "duration": 0.026354, + "end_time": "2023-11-06T22:11:22.068754", "exception": false, - "start_time": "2023-09-27T22:44:22.117744", + "start_time": "2023-11-06T22:11:22.042400", "status": "completed" }, "pycharm": { @@ -2080,10 +2085,10 @@ "id": "6065bf63", "metadata": { "papermill": { - "duration": 0.052041, - "end_time": "2023-09-27T22:44:22.252515", + "duration": 0.025896, + "end_time": "2023-11-06T22:11:22.121184", "exception": false, - "start_time": "2023-09-27T22:44:22.200474", + "start_time": "2023-11-06T22:11:22.095288", "status": "completed" }, "pycharm": { @@ -2101,16 +2106,16 @@ "id": "6606e286", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:22.357367Z", - "iopub.status.busy": "2023-09-27T22:44:22.356686Z", - "iopub.status.idle": "2023-09-27T22:44:22.377209Z", - "shell.execute_reply": "2023-09-27T22:44:22.375615Z" + "iopub.execute_input": "2023-11-06T22:11:22.173315Z", + "iopub.status.busy": "2023-11-06T22:11:22.172841Z", + "iopub.status.idle": "2023-11-06T22:11:22.186846Z", + "shell.execute_reply": "2023-11-06T22:11:22.186137Z" }, "papermill": { - "duration": 0.076672, - "end_time": "2023-09-27T22:44:22.379497", + "duration": 0.041648, + "end_time": "2023-11-06T22:11:22.188480", "exception": false, - "start_time": "2023-09-27T22:44:22.302825", + "start_time": "2023-11-06T22:11:22.146832", "status": "completed" }, "pycharm": { @@ -2151,22 +2156,22 @@ " VisualBehaviorMultiscope\n", " \n", " \n", - " 8\n", + " 83\n", " 476970\n", " VisualBehaviorTask1B\n", " \n", " \n", - " 16\n", + " 159\n", " 412036\n", " VisualBehavior\n", " \n", " \n", - " 22\n", + " 206\n", " 429952\n", " VisualBehavior\n", " \n", " \n", - " 29\n", + " 239\n", " 449441\n", " VisualBehavior\n", " \n", @@ -2176,29 +2181,29 @@ " ...\n", " \n", " \n", - " 671\n", - " 550603\n", - " VisualBehaviorMultiscope4areasx2d\n", + " 4494\n", + " 467302\n", + " VisualBehavior\n", " \n", " \n", - " 677\n", - " 547266\n", - " VisualBehaviorMultiscope\n", + " 4551\n", + " 489065\n", + " VisualBehaviorMultiscope4areasx2d\n", " \n", " \n", - " 683\n", - " 533162\n", - " VisualBehaviorTask1B\n", + " 4612\n", + " 403491\n", + " VisualBehavior\n", " \n", " \n", - " 689\n", - " 467954\n", - " VisualBehaviorTask1B\n", + " 4683\n", + " 523927\n", + " VisualBehavior\n", " \n", " \n", - " 696\n", - " 468866\n", - " VisualBehavior\n", + " 4753\n", + " 489066\n", + " VisualBehaviorTask1B\n", " \n", " \n", "\n", @@ -2206,18 +2211,18 @@ "" ], "text/plain": [ - " mouse_id project_code\n", - "0 457841 VisualBehaviorMultiscope\n", - "8 476970 VisualBehaviorTask1B\n", - "16 412036 VisualBehavior\n", - "22 429952 VisualBehavior\n", - "29 449441 VisualBehavior\n", - ".. ... ...\n", - "671 550603 VisualBehaviorMultiscope4areasx2d\n", - "677 547266 VisualBehaviorMultiscope\n", - "683 533162 VisualBehaviorTask1B\n", - "689 467954 VisualBehaviorTask1B\n", - "696 468866 VisualBehavior\n", + " mouse_id project_code\n", + "0 457841 VisualBehaviorMultiscope\n", + "83 476970 VisualBehaviorTask1B\n", + "159 412036 VisualBehavior\n", + "206 429952 VisualBehavior\n", + "239 449441 VisualBehavior\n", + "... ... ...\n", + "4494 467302 VisualBehavior\n", + "4551 489065 VisualBehaviorMultiscope4areasx2d\n", + "4612 403491 VisualBehavior\n", + "4683 523927 VisualBehavior\n", + "4753 489066 VisualBehaviorTask1B\n", "\n", "[107 rows x 2 columns]" ] @@ -2239,16 +2244,16 @@ "id": "59cfd3f4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:22.482920Z", - "iopub.status.busy": "2023-09-27T22:44:22.481865Z", - "iopub.status.idle": "2023-09-27T22:44:22.502626Z", - "shell.execute_reply": "2023-09-27T22:44:22.501473Z" + "iopub.execute_input": "2023-11-06T22:11:22.242450Z", + "iopub.status.busy": "2023-11-06T22:11:22.241761Z", + "iopub.status.idle": "2023-11-06T22:11:22.254203Z", + "shell.execute_reply": "2023-11-06T22:11:22.253586Z" }, "papermill": { - "duration": 0.074451, - "end_time": "2023-09-27T22:44:22.505291", + "duration": 0.041439, + "end_time": "2023-11-06T22:11:22.255914", "exception": false, - "start_time": "2023-09-27T22:44:22.430840", + "start_time": "2023-11-06T22:11:22.214475", "status": "completed" }, "pycharm": { @@ -2269,10 +2274,10 @@ "id": "18e78600", "metadata": { "papermill": { - "duration": 0.048383, - "end_time": "2023-09-27T22:44:22.596428", + "duration": 0.025894, + "end_time": "2023-11-06T22:11:22.308063", "exception": false, - "start_time": "2023-09-27T22:44:22.548045", + "start_time": "2023-11-06T22:11:22.282169", "status": "completed" }, "pycharm": { @@ -2290,16 +2295,16 @@ "id": "2893504f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:22.688789Z", - "iopub.status.busy": "2023-09-27T22:44:22.687795Z", - "iopub.status.idle": "2023-09-27T22:44:22.696430Z", - "shell.execute_reply": "2023-09-27T22:44:22.695393Z" + "iopub.execute_input": "2023-11-06T22:11:22.361667Z", + "iopub.status.busy": "2023-11-06T22:11:22.361193Z", + "iopub.status.idle": "2023-11-06T22:11:22.366416Z", + "shell.execute_reply": "2023-11-06T22:11:22.365741Z" }, "papermill": { - "duration": 0.054557, - "end_time": "2023-09-27T22:44:22.698821", + "duration": 0.03353, + "end_time": "2023-11-06T22:11:22.367775", "exception": false, - "start_time": "2023-09-27T22:44:22.644264", + "start_time": "2023-11-06T22:11:22.334245", "status": "completed" }, "pycharm": { @@ -2331,16 +2336,16 @@ "id": "93050515", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:22.787319Z", - "iopub.status.busy": "2023-09-27T22:44:22.786237Z", - "iopub.status.idle": "2023-09-27T22:44:22.807397Z", - "shell.execute_reply": "2023-09-27T22:44:22.806461Z" + "iopub.execute_input": "2023-11-06T22:11:22.421676Z", + "iopub.status.busy": "2023-11-06T22:11:22.421138Z", + "iopub.status.idle": "2023-11-06T22:11:22.434596Z", + "shell.execute_reply": "2023-11-06T22:11:22.433855Z" }, "papermill": { - "duration": 0.067985, - "end_time": "2023-09-27T22:44:22.809669", + "duration": 0.042098, + "end_time": "2023-11-06T22:11:22.436073", "exception": false, - "start_time": "2023-09-27T22:44:22.741684", + "start_time": "2023-11-06T22:11:22.393975", "status": "completed" }, "pycharm": { @@ -2358,9 +2363,9 @@ "\n", " has these session types:\n", " ['OPHYS_0_images_A_habituation' 'OPHYS_1_images_A'\n", - " 'OPHYS_2_images_A_passive' 'OPHYS_2_images_B_passive' 'OPHYS_3_images_A'\n", - " 'OPHYS_3_images_B' 'OPHYS_4_images_B' 'OPHYS_5_images_A_passive'\n", - " 'OPHYS_5_images_B_passive' 'OPHYS_6_images_A' 'OPHYS_6_images_B'\n", + " 'OPHYS_2_images_A_passive' 'OPHYS_3_images_A' 'OPHYS_3_images_B'\n", + " 'OPHYS_4_images_B' 'OPHYS_5_images_A_passive' 'OPHYS_5_images_B_passive'\n", + " 'OPHYS_6_images_A' 'OPHYS_6_images_B'\n", " 'TRAINING_0_gratings_autorewards_15min' 'TRAINING_1_gratings'\n", " 'TRAINING_2_gratings_flashed' 'TRAINING_3_images_A_10uL_reward'\n", " 'TRAINING_4_images_A_training' 'TRAINING_5_images_A_epilogue'\n", @@ -2385,14 +2390,18 @@ " project_code: VisualBehavior\n", "\n", " has these session types:\n", - " ['OPHYS_0_images_A_habituation' 'OPHYS_1_images_A'\n", - " 'OPHYS_2_images_A_passive' 'OPHYS_3_images_A' 'OPHYS_4_images_B'\n", - " 'OPHYS_5_images_B_passive' 'OPHYS_6_images_B'\n", + " ['OPHYS_0_images_A_habituation' 'OPHYS_0_images_B_habituation'\n", + " 'OPHYS_1_images_A' 'OPHYS_1_images_B' 'OPHYS_2_images_A_passive'\n", + " 'OPHYS_2_images_B_passive' 'OPHYS_3_images_A' 'OPHYS_3_images_B'\n", + " 'OPHYS_4_images_A' 'OPHYS_4_images_B' 'OPHYS_5_images_A_passive'\n", + " 'OPHYS_5_images_B_passive' 'OPHYS_6_images_A' 'OPHYS_6_images_B'\n", " 'TRAINING_0_gratings_autorewards_15min' 'TRAINING_1_gratings'\n", " 'TRAINING_2_gratings_flashed' 'TRAINING_3_images_A_10uL_reward'\n", - " 'TRAINING_4_images_A_handoff_lapsed' 'TRAINING_4_images_A_handoff_ready'\n", - " 'TRAINING_4_images_A_training' 'TRAINING_5_images_A_epilogue'\n", - " 'TRAINING_5_images_A_handoff_lapsed' 'TRAINING_5_images_A_handoff_ready']\n", + " 'TRAINING_3_images_B_10uL_reward' 'TRAINING_4_images_A_handoff_lapsed'\n", + " 'TRAINING_4_images_A_handoff_ready' 'TRAINING_4_images_A_training'\n", + " 'TRAINING_4_images_B_training' 'TRAINING_5_images_A_epilogue'\n", + " 'TRAINING_5_images_A_handoff_lapsed' 'TRAINING_5_images_A_handoff_ready'\n", + " 'TRAINING_5_images_B_epilogue' 'TRAINING_5_images_B_handoff_ready']\n", "\n", "\n", "\n", @@ -2425,10 +2434,10 @@ "id": "983a12b2", "metadata": { "papermill": { - "duration": 0.045676, - "end_time": "2023-09-27T22:44:22.901702", + "duration": 0.026777, + "end_time": "2023-11-06T22:11:22.489480", "exception": false, - "start_time": "2023-09-27T22:44:22.856026", + "start_time": "2023-11-06T22:11:22.462703", "status": "completed" }, "pycharm": { @@ -2446,10 +2455,10 @@ "id": "e04c6d3e", "metadata": { "papermill": { - "duration": 0.044559, - "end_time": "2023-09-27T22:44:22.990980", + "duration": 0.026711, + "end_time": "2023-11-06T22:11:22.544331", "exception": false, - "start_time": "2023-09-27T22:44:22.946421", + "start_time": "2023-11-06T22:11:22.517620", "status": "completed" }, "pycharm": { @@ -2465,10 +2474,10 @@ "id": "cf0fc554", "metadata": { "papermill": { - "duration": 0.04167, - "end_time": "2023-09-27T22:44:23.083577", + "duration": 0.026079, + "end_time": "2023-11-06T22:11:22.597224", "exception": false, - "start_time": "2023-09-27T22:44:23.041907", + "start_time": "2023-11-06T22:11:22.571145", "status": "completed" }, "pycharm": { @@ -2485,10 +2494,10 @@ "id": "05b97a3e", "metadata": { "papermill": { - "duration": 0.041399, - "end_time": "2023-09-27T22:44:23.176545", + "duration": 0.025852, + "end_time": "2023-11-06T22:11:22.649264", "exception": false, - "start_time": "2023-09-27T22:44:23.135146", + "start_time": "2023-11-06T22:11:22.623412", "status": "completed" }, "pycharm": { @@ -2506,16 +2515,16 @@ "id": "8831dcb6", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:23.270066Z", - "iopub.status.busy": "2023-09-27T22:44:23.269294Z", - "iopub.status.idle": "2023-09-27T22:44:23.305799Z", - "shell.execute_reply": "2023-09-27T22:44:23.304665Z" + "iopub.execute_input": "2023-11-06T22:11:22.703992Z", + "iopub.status.busy": "2023-11-06T22:11:22.703712Z", + "iopub.status.idle": "2023-11-06T22:11:22.726980Z", + "shell.execute_reply": "2023-11-06T22:11:22.726328Z" }, "papermill": { - "duration": 0.086946, - "end_time": "2023-09-27T22:44:23.308048", + "duration": 0.052667, + "end_time": "2023-11-06T22:11:22.728512", "exception": false, - "start_time": "2023-09-27T22:44:23.221102", + "start_time": "2023-11-06T22:11:22.675845", "status": "completed" }, "pycharm": { @@ -2528,14 +2537,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of ophys sessions: 705\n", + "Total number of ophys sessions: 703\n", "\n", - "Index(['equipment_name', 'full_genotype', 'mouse_id', 'reporter_line',\n", - " 'driver_line', 'sex', 'age_in_days', 'cre_line', 'indicator',\n", - " 'session_number', 'prior_exposures_to_session_type',\n", + "Index(['behavior_session_id', 'ophys_container_id', 'mouse_id', 'indicator',\n", + " 'full_genotype', 'driver_line', 'cre_line', 'reporter_line', 'sex',\n", + " 'age_in_days', 'imaging_plane_group_count', 'project_code',\n", + " 'session_type', 'session_number', 'image_set', 'behavior_type',\n", + " 'experience_level', 'prior_exposures_to_session_type',\n", " 'prior_exposures_to_image_set', 'prior_exposures_to_omissions',\n", - " 'behavior_session_id', 'ophys_experiment_id', 'ophys_container_id',\n", - " 'project_code', 'date_of_acquisition', 'session_type'],\n", + " 'date_of_acquisition', 'equipment_name', 'num_depths_per_area',\n", + " 'ophys_experiment_id', 'num_targeted_structures'],\n", " dtype='object')\n" ] }, @@ -2560,25 +2571,27 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", + " cre_line\n", + " reporter_line\n", " sex\n", " age_in_days\n", - " cre_line\n", - " indicator\n", - " session_number\n", + " ...\n", + " behavior_type\n", + " experience_level\n", " prior_exposures_to_session_type\n", " prior_exposures_to_image_set\n", " prior_exposures_to_omissions\n", - " behavior_session_id\n", - " ophys_experiment_id\n", - " ophys_container_id\n", - " project_code\n", " date_of_acquisition\n", - " session_type\n", + " equipment_name\n", + " num_depths_per_area\n", + " ophys_experiment_id\n", + " num_targeted_structures\n", " \n", " \n", " ophys_session_id\n", @@ -2601,172 +2614,137 @@ " \n", " \n", " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " 951410079\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951520319\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 206\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 0\n", " 65\n", - " 0.0\n", - " 951520319\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 4\n", " [951980471, 951980473, 951980475, 951980479, 9...\n", - " [1018028360, 1018028345, 1018028357, 101802834...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", + " 2\n", " \n", " \n", " 952430817\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 952554548\n", + " [1018028339, 1018028345, 1018028354, 1018028357]\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 209.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 2\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 209\n", + " ...\n", + " passive_viewing\n", + " Familiar\n", + " 0\n", " 66\n", - " 1.0\n", - " 952554548\n", + " 1\n", + " 2019-09-23 08:45:38.490000+00:00\n", + " MESO.1\n", + " 4\n", " [953659743, 953659745, 953659749, 953659752]\n", - " [1018028357, 1018028345, 1018028339, 1018028354]\n", - " VisualBehaviorMultiscope\n", - " 2019-09-23 08:13:07.627573+00:00\n", - " OPHYS_2_images_A_passive\n", + " 2\n", " \n", " \n", " 954954402\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 953982960\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 210.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 3\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 210\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 0\n", " 67\n", - " 2.0\n", - " 953982960\n", + " 2\n", + " 2019-09-24 09:01:31.582000+00:00\n", + " MESO.1\n", + " 4\n", " [958527464, 958527471, 958527474, 958527479, 9...\n", - " [1018028360, 1018028342, 1018028357, 101802835...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-24 16:00:00+00:00\n", - " OPHYS_3_images_A\n", + " 2\n", " \n", " \n", " 955775716\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 956010809\n", + " [1018028339, 1018028342, 1018028345]\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 212.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 3\n", - " 1.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 212\n", + " ...\n", + " active_behavior\n", + " Familiar\n", + " 1\n", " 68\n", - " 3.0\n", - " 956010809\n", + " 3\n", + " 2019-09-26 09:22:21.772000+00:00\n", + " MESO.1\n", + " 4\n", " [956941841, 956941844, 956941846]\n", - " [1018028342, 1018028339, 1018028345]\n", - " VisualBehaviorMultiscope\n", - " 2019-09-26 08:44:37.199778+00:00\n", - " OPHYS_3_images_A\n", + " 2\n", " \n", " \n", " 957020350\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 957032492\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 213.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 4\n", - " 0.0\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", + " 213\n", + " ...\n", + " active_behavior\n", + " Novel 1\n", " 0\n", - " 4.0\n", - " 957032492\n", + " 0\n", + " 4\n", + " 2019-09-27 08:58:37.005000+00:00\n", + " MESO.1\n", + " 4\n", " [957759562, 957759564, 957759566, 957759570, 9...\n", - " [1018028354, 1018028345, 1018028360, 101802834...\n", - " VisualBehaviorMultiscope\n", - " 2019-09-27 08:28:05.415005+00:00\n", - " OPHYS_4_images_B\n", + " 2\n", " \n", " \n", "\n", + "

    5 rows × 25 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_session_id \n", - "951410079 MESO.1 \n", - "952430817 MESO.1 \n", - "954954402 MESO.1 \n", - "955775716 MESO.1 \n", - "957020350 MESO.1 \n", - "\n", - " full_genotype mouse_id \\\n", - "ophys_session_id \n", - "951410079 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "952430817 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "954954402 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "955775716 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "957020350 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "\n", - " reporter_line driver_line sex age_in_days \\\n", - "ophys_session_id \n", - "951410079 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 206.0 \n", - "952430817 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 209.0 \n", - "954954402 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 210.0 \n", - "955775716 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 212.0 \n", - "957020350 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F 213.0 \n", - "\n", - " cre_line indicator session_number \\\n", - "ophys_session_id \n", - "951410079 Sst-IRES-Cre GCaMP6f 1 \n", - "952430817 Sst-IRES-Cre GCaMP6f 2 \n", - "954954402 Sst-IRES-Cre GCaMP6f 3 \n", - "955775716 Sst-IRES-Cre GCaMP6f 3 \n", - "957020350 Sst-IRES-Cre GCaMP6f 4 \n", - "\n", - " prior_exposures_to_session_type \\\n", - "ophys_session_id \n", - "951410079 0.0 \n", - "952430817 0.0 \n", - "954954402 0.0 \n", - "955775716 1.0 \n", - "957020350 0.0 \n", - "\n", - " prior_exposures_to_image_set prior_exposures_to_omissions \\\n", - "ophys_session_id \n", - "951410079 65 0.0 \n", - "952430817 66 1.0 \n", - "954954402 67 2.0 \n", - "955775716 68 3.0 \n", - "957020350 0 4.0 \n", - "\n", " behavior_session_id \\\n", "ophys_session_id \n", "951410079 951520319 \n", @@ -2775,6 +2753,70 @@ "955775716 956010809 \n", "957020350 957032492 \n", "\n", + " ophys_container_id mouse_id \\\n", + "ophys_session_id \n", + "951410079 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "952430817 [1018028339, 1018028345, 1018028354, 1018028357] 457841 \n", + "954954402 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "955775716 [1018028339, 1018028342, 1018028345] 457841 \n", + "957020350 [1018028339, 1018028342, 1018028345, 101802835... 457841 \n", + "\n", + " indicator full_genotype \\\n", + "ophys_session_id \n", + "951410079 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "952430817 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "954954402 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "955775716 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "957020350 GCaMP6f Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "\n", + " driver_line cre_line reporter_line \\\n", + "ophys_session_id \n", + "951410079 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "952430817 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "954954402 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "955775716 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "957020350 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "\n", + " sex age_in_days ... behavior_type experience_level \\\n", + "ophys_session_id ... \n", + "951410079 F 206 ... active_behavior Familiar \n", + "952430817 F 209 ... passive_viewing Familiar \n", + "954954402 F 210 ... active_behavior Familiar \n", + "955775716 F 212 ... active_behavior Familiar \n", + "957020350 F 213 ... active_behavior Novel 1 \n", + "\n", + " prior_exposures_to_session_type \\\n", + "ophys_session_id \n", + "951410079 0 \n", + "952430817 0 \n", + "954954402 0 \n", + "955775716 1 \n", + "957020350 0 \n", + "\n", + " prior_exposures_to_image_set prior_exposures_to_omissions \\\n", + "ophys_session_id \n", + "951410079 65 0 \n", + "952430817 66 1 \n", + "954954402 67 2 \n", + "955775716 68 3 \n", + "957020350 0 4 \n", + "\n", + " date_of_acquisition equipment_name \\\n", + "ophys_session_id \n", + "951410079 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "952430817 2019-09-23 08:45:38.490000+00:00 MESO.1 \n", + "954954402 2019-09-24 09:01:31.582000+00:00 MESO.1 \n", + "955775716 2019-09-26 09:22:21.772000+00:00 MESO.1 \n", + "957020350 2019-09-27 08:58:37.005000+00:00 MESO.1 \n", + "\n", + " num_depths_per_area \\\n", + "ophys_session_id \n", + "951410079 4 \n", + "952430817 4 \n", + "954954402 4 \n", + "955775716 4 \n", + "957020350 4 \n", + "\n", " ophys_experiment_id \\\n", "ophys_session_id \n", "951410079 [951980471, 951980473, 951980475, 951980479, 9... \n", @@ -2783,29 +2825,15 @@ "955775716 [956941841, 956941844, 956941846] \n", "957020350 [957759562, 957759564, 957759566, 957759570, 9... \n", "\n", - " ophys_container_id \\\n", - "ophys_session_id \n", - "951410079 [1018028360, 1018028345, 1018028357, 101802834... \n", - "952430817 [1018028357, 1018028345, 1018028339, 1018028354] \n", - "954954402 [1018028360, 1018028342, 1018028357, 101802835... \n", - "955775716 [1018028342, 1018028339, 1018028345] \n", - "957020350 [1018028354, 1018028345, 1018028360, 101802834... \n", - "\n", - " project_code date_of_acquisition \\\n", - "ophys_session_id \n", - "951410079 VisualBehaviorMultiscope 2019-09-20 09:45:29.897856+00:00 \n", - "952430817 VisualBehaviorMultiscope 2019-09-23 08:13:07.627573+00:00 \n", - "954954402 VisualBehaviorMultiscope 2019-09-24 16:00:00+00:00 \n", - "955775716 VisualBehaviorMultiscope 2019-09-26 08:44:37.199778+00:00 \n", - "957020350 VisualBehaviorMultiscope 2019-09-27 08:28:05.415005+00:00 \n", + " num_targeted_structures \n", + "ophys_session_id \n", + "951410079 2 \n", + "952430817 2 \n", + "954954402 2 \n", + "955775716 2 \n", + "957020350 2 \n", "\n", - " session_type \n", - "ophys_session_id \n", - "951410079 OPHYS_1_images_A \n", - "952430817 OPHYS_2_images_A_passive \n", - "954954402 OPHYS_3_images_A \n", - "955775716 OPHYS_3_images_A \n", - "957020350 OPHYS_4_images_B " + "[5 rows x 25 columns]" ] }, "execution_count": 22, @@ -2829,16 +2857,16 @@ "id": "ca9bb487", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:23.397988Z", - "iopub.status.busy": "2023-09-27T22:44:23.397238Z", - "iopub.status.idle": "2023-09-27T22:44:23.423283Z", - "shell.execute_reply": "2023-09-27T22:44:23.422101Z" + "iopub.execute_input": "2023-11-06T22:11:22.783514Z", + "iopub.status.busy": "2023-11-06T22:11:22.782837Z", + "iopub.status.idle": "2023-11-06T22:11:22.798289Z", + "shell.execute_reply": "2023-11-06T22:11:22.797649Z" }, "papermill": { - "duration": 0.073822, - "end_time": "2023-09-27T22:44:23.426265", + "duration": 0.044199, + "end_time": "2023-11-06T22:11:22.799715", "exception": false, - "start_time": "2023-09-27T22:44:23.352443", + "start_time": "2023-11-06T22:11:22.755516", "status": "completed" }, "pycharm": { @@ -2883,49 +2911,49 @@ " \n", " 951410079\n", " [951980471, 951980473, 951980475, 951980479, 9...\n", - " [1018028360, 1018028345, 1018028357, 101802834...\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " MESO.1\n", " \n", " \n", " 952430817\n", " [953659743, 953659745, 953659749, 953659752]\n", - " [1018028357, 1018028345, 1018028339, 1018028354]\n", + " [1018028339, 1018028345, 1018028354, 1018028357]\n", " MESO.1\n", " \n", " \n", " 954954402\n", " [958527464, 958527471, 958527474, 958527479, 9...\n", - " [1018028360, 1018028342, 1018028357, 101802835...\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " MESO.1\n", " \n", " \n", " 955775716\n", " [956941841, 956941844, 956941846]\n", - " [1018028342, 1018028339, 1018028345]\n", + " [1018028339, 1018028342, 1018028345]\n", " MESO.1\n", " \n", " \n", " 957020350\n", " [957759562, 957759564, 957759566, 957759570, 9...\n", - " [1018028354, 1018028345, 1018028360, 101802834...\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " MESO.1\n", " \n", " \n", " 958105827\n", " [958741219, 958741222, 958741230, 958741232, 9...\n", - " [1018028357, 1018028342, 1018028345, 101802835...\n", + " [1018028342, 1018028345, 1018028351, 101802835...\n", " MESO.1\n", " \n", " \n", " 958772311\n", " [959388788, 959388790, 959388792, 959388796, 9...\n", - " [1018028354, 1018028345, 1018028351, 101802835...\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " MESO.1\n", " \n", " \n", " 959458018\n", " [960410023, 960410026, 960410028, 960410038, 9...\n", - " [1018028360, 1018028342, 1018028357, 101802833...\n", + " [1018028339, 1018028342, 1018028345, 101802835...\n", " MESO.1\n", " \n", " \n", @@ -2995,14 +3023,14 @@ "\n", " ophys_container_id \\\n", "ophys_session_id \n", - "951410079 [1018028360, 1018028345, 1018028357, 101802834... \n", - "952430817 [1018028357, 1018028345, 1018028339, 1018028354] \n", - "954954402 [1018028360, 1018028342, 1018028357, 101802835... \n", - "955775716 [1018028342, 1018028339, 1018028345] \n", - "957020350 [1018028354, 1018028345, 1018028360, 101802834... \n", - "958105827 [1018028357, 1018028342, 1018028345, 101802835... \n", - "958772311 [1018028354, 1018028345, 1018028351, 101802835... \n", - "959458018 [1018028360, 1018028342, 1018028357, 101802833... \n", + "951410079 [1018028339, 1018028342, 1018028345, 101802835... \n", + "952430817 [1018028339, 1018028345, 1018028354, 1018028357] \n", + "954954402 [1018028339, 1018028342, 1018028345, 101802835... \n", + "955775716 [1018028339, 1018028342, 1018028345] \n", + "957020350 [1018028339, 1018028342, 1018028345, 101802835... \n", + "958105827 [1018028342, 1018028345, 1018028351, 101802835... \n", + "958772311 [1018028339, 1018028342, 1018028345, 101802835... \n", + "959458018 [1018028339, 1018028342, 1018028345, 101802835... \n", "993727065 [991913453] \n", "993984066 [991913453] \n", "994199725 [991913453] \n", @@ -3047,10 +3075,10 @@ "id": "5cc382f2", "metadata": { "papermill": { - "duration": 0.049828, - "end_time": "2023-09-27T22:44:23.522476", + "duration": 0.026607, + "end_time": "2023-11-06T22:11:22.852838", "exception": false, - "start_time": "2023-09-27T22:44:23.472648", + "start_time": "2023-11-06T22:11:22.826231", "status": "completed" }, "pycharm": { @@ -3067,10 +3095,10 @@ "id": "18de9c0a", "metadata": { "papermill": { - "duration": 0.044842, - "end_time": "2023-09-27T22:44:23.612844", + "duration": 0.072924, + "end_time": "2023-11-06T22:11:22.952674", "exception": false, - "start_time": "2023-09-27T22:44:23.568002", + "start_time": "2023-11-06T22:11:22.879750", "status": "completed" }, "pycharm": { @@ -3087,10 +3115,10 @@ "id": "9d820569", "metadata": { "papermill": { - "duration": 0.047902, - "end_time": "2023-09-27T22:44:23.708623", + "duration": 0.025414, + "end_time": "2023-11-06T22:11:23.004615", "exception": false, - "start_time": "2023-09-27T22:44:23.660721", + "start_time": "2023-11-06T22:11:22.979201", "status": "completed" }, "pycharm": { @@ -3107,10 +3135,10 @@ "id": "a7c8920b", "metadata": { "papermill": { - "duration": 0.046822, - "end_time": "2023-09-27T22:44:23.804228", + "duration": 0.026204, + "end_time": "2023-11-06T22:11:23.056668", "exception": false, - "start_time": "2023-09-27T22:44:23.757406", + "start_time": "2023-11-06T22:11:23.030464", "status": "completed" }, "pycharm": { @@ -3127,10 +3155,10 @@ "id": "7684ef65", "metadata": { "papermill": { - 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"duration": 0.048242, - "end_time": "2023-09-27T22:44:24.108489", + "duration": 0.026844, + "end_time": "2023-11-06T22:11:23.232174", "exception": false, - "start_time": "2023-09-27T22:44:24.060247", + "start_time": "2023-11-06T22:11:23.205330", "status": "completed" }, "pycharm": { @@ -3245,16 +3273,16 @@ "id": "895d8679", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:24.204658Z", - "iopub.status.busy": "2023-09-27T22:44:24.203906Z", - "iopub.status.idle": "2023-09-27T22:44:24.209761Z", - "shell.execute_reply": "2023-09-27T22:44:24.208824Z" + "iopub.execute_input": "2023-11-06T22:11:23.288105Z", + "iopub.status.busy": "2023-11-06T22:11:23.287494Z", + "iopub.status.idle": "2023-11-06T22:11:23.291477Z", + "shell.execute_reply": "2023-11-06T22:11:23.290769Z" }, "papermill": { - "duration": 0.057839, - "end_time": "2023-09-27T22:44:24.211880", + "duration": 0.0334, + "end_time": "2023-11-06T22:11:23.292853", "exception": false, - "start_time": "2023-09-27T22:44:24.154041", + "start_time": "2023-11-06T22:11:23.259453", "status": "completed" }, "pycharm": { @@ -3282,10 +3310,10 @@ "id": "4347ef89", "metadata": { "papermill": { - 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"duration": 0.051762, - "end_time": "2023-09-27T22:44:28.712362", + "duration": 0.027852, + "end_time": "2023-11-06T22:11:25.899579", "exception": false, - "start_time": "2023-09-27T22:44:28.660600", + "start_time": "2023-11-06T22:11:25.871727", "status": "completed" }, "pycharm": { @@ -4845,10 +4873,10 @@ "id": "9ec2a91c", "metadata": { "papermill": { - "duration": 0.043837, - "end_time": "2023-09-27T22:44:28.802278", + "duration": 0.029025, + "end_time": "2023-11-06T22:11:25.957174", "exception": false, - "start_time": "2023-09-27T22:44:28.758441", + "start_time": "2023-11-06T22:11:25.928149", "status": "completed" }, "pycharm": { @@ -4866,16 +4894,16 @@ "id": "4d0f19fd", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:28.896411Z", - "iopub.status.busy": "2023-09-27T22:44:28.895828Z", - "iopub.status.idle": "2023-09-27T22:44:28.928174Z", - "shell.execute_reply": "2023-09-27T22:44:28.927027Z" + "iopub.execute_input": "2023-11-06T22:11:26.016512Z", + "iopub.status.busy": "2023-11-06T22:11:26.015870Z", + "iopub.status.idle": "2023-11-06T22:11:26.034771Z", + "shell.execute_reply": "2023-11-06T22:11:26.034064Z" }, "papermill": { - "duration": 0.086006, - "end_time": "2023-09-27T22:44:28.931605", + "duration": 0.050252, + "end_time": "2023-11-06T22:11:26.036203", "exception": false, - "start_time": "2023-09-27T22:44:28.845599", + "start_time": "2023-11-06T22:11:25.985951", "status": "completed" }, "pycharm": { @@ -4888,7 +4916,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Total number of ophys experiments: 1941\n", + "Total number of ophys experiments: 1936\n", "\n" ] }, @@ -4913,26 +4941,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", - " sex\n", - " age_in_days\n", " cre_line\n", - " indicator\n", - " session_number\n", + " reporter_line\n", + " sex\n", " ...\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", - " date_of_acquisition\n", - " session_type\n", - " experience_level\n", " passive\n", - " image_set\n", + " experience_level\n", + " prior_exposures_to_session_type\n", + " prior_exposures_to_image_set\n", + " prior_exposures_to_omissions\n", + " date_of_acquisition\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -4962,196 +4990,212 @@ " \n", " \n", " \n", - " 951980486\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980471\n", + " 951520319\n", + " 951410079\n", + " 1018028342\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028360\n", - " VisualBehaviorMultiscope\n", - " 300\n", - " VISl\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400869\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 0\n", " \n", " \n", " 951980473\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951520319\n", + " 951410079\n", + " 1018028345\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028345\n", - " VisualBehaviorMultiscope\n", - " 225\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400919\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 1\n", " \n", " \n", - " 951980481\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980475\n", + " 951520319\n", + " 951410079\n", + " 1018028339\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028357\n", - " VisualBehaviorMultiscope\n", - " 225\n", - " VISl\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400972\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 2\n", " \n", " \n", - " 951980471\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980479\n", + " 951520319\n", + " 951410079\n", + " 1018028354\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028342\n", - " VisualBehaviorMultiscope\n", - " 150\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085394308\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 3\n", " \n", " \n", - " 951980475\n", - " MESO.1\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 951980481\n", + " 951520319\n", + " 951410079\n", + " 1018028357\n", " 457841\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 206.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 1018028339\n", - " VisualBehaviorMultiscope\n", - " 75\n", - " VISp\n", - " 2019-09-20 09:45:29.897856+00:00\n", - " OPHYS_1_images_A\n", - " Familiar\n", " False\n", - " A\n", - " 1085400920\n", + " Familiar\n", + " 0\n", + " 65\n", + " 0\n", + " 2019-09-20 09:59:38.837000+00:00\n", + " MESO.1\n", + " 2021-03-25\n", + " 848974280\n", + " 4\n", " \n", " \n", "\n", - "

    5 rows × 25 columns

    \n", + "

    5 rows × 30 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "951980486 MESO.1 \n", - "951980473 MESO.1 \n", - "951980481 MESO.1 \n", - "951980471 MESO.1 \n", - "951980475 MESO.1 \n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "951980471 951520319 951410079 \n", + "951980473 951520319 951410079 \n", + "951980475 951520319 951410079 \n", + "951980479 951520319 951410079 \n", + "951980481 951520319 951410079 \n", "\n", - " full_genotype mouse_id \\\n", - "ophys_experiment_id \n", - "951980486 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980473 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980481 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980471 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", - "951980475 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 457841 \n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "951980471 1018028342 457841 GCaMP6f \n", + "951980473 1018028345 457841 GCaMP6f \n", + "951980475 1018028339 457841 GCaMP6f \n", + "951980479 1018028354 457841 GCaMP6f \n", + "951980481 1018028357 457841 GCaMP6f \n", "\n", - " reporter_line driver_line sex \\\n", - "ophys_experiment_id \n", - "951980486 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980473 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980481 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980471 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "951980475 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", + " full_genotype \\\n", + "ophys_experiment_id \n", + "951980471 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980473 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980475 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980479 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "951980481 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " age_in_days cre_line indicator session_number ... \\\n", - "ophys_experiment_id ... \n", - "951980486 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980473 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980481 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980471 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "951980475 206.0 Sst-IRES-Cre GCaMP6f 1 ... \n", + " driver_line cre_line reporter_line \\\n", + "ophys_experiment_id \n", + "951980471 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980473 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980475 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980479 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "951980481 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " ophys_container_id project_code \\\n", - "ophys_experiment_id \n", - "951980486 1018028360 VisualBehaviorMultiscope \n", - "951980473 1018028345 VisualBehaviorMultiscope \n", - "951980481 1018028357 VisualBehaviorMultiscope \n", - "951980471 1018028342 VisualBehaviorMultiscope \n", - "951980475 1018028339 VisualBehaviorMultiscope \n", + " sex ... passive experience_level \\\n", + "ophys_experiment_id ... \n", + "951980471 F ... False Familiar \n", + "951980473 F ... False Familiar \n", + "951980475 F ... False Familiar \n", + "951980479 F ... False Familiar \n", + "951980481 F ... False Familiar \n", "\n", - " imaging_depth targeted_structure \\\n", - "ophys_experiment_id \n", - "951980486 300 VISl \n", - "951980473 225 VISp \n", - "951980481 225 VISl \n", - "951980471 150 VISp \n", - "951980475 75 VISp \n", + " prior_exposures_to_session_type \\\n", + "ophys_experiment_id \n", + "951980471 0 \n", + "951980473 0 \n", + "951980475 0 \n", + "951980479 0 \n", + "951980481 0 \n", "\n", - " date_of_acquisition session_type \\\n", - "ophys_experiment_id \n", - "951980486 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980473 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980481 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980471 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", - "951980475 2019-09-20 09:45:29.897856+00:00 OPHYS_1_images_A \n", + " prior_exposures_to_image_set \\\n", + "ophys_experiment_id \n", + "951980471 65 \n", + "951980473 65 \n", + "951980475 65 \n", + "951980479 65 \n", + "951980481 65 \n", "\n", - " experience_level passive image_set file_id \n", - "ophys_experiment_id \n", - "951980486 Familiar False A 1085400869 \n", - "951980473 Familiar False A 1085400919 \n", - "951980481 Familiar False A 1085400972 \n", - "951980471 Familiar False A 1085394308 \n", - "951980475 Familiar False A 1085400920 \n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "951980471 0 \n", + "951980473 0 \n", + "951980475 0 \n", + "951980479 0 \n", + "951980481 0 \n", "\n", - "[5 rows x 25 columns]" + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "951980471 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980473 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980475 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980479 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "951980481 2019-09-20 09:59:38.837000+00:00 MESO.1 \n", + "\n", + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "951980471 2021-03-25 848974280 0 \n", + "951980473 2021-03-25 848974280 1 \n", + "951980475 2021-03-25 848974280 2 \n", + "951980479 2021-03-25 848974280 3 \n", + "951980481 2021-03-25 848974280 4 \n", + "\n", + "[5 rows x 30 columns]" ] }, "execution_count": 40, @@ -5172,10 +5216,10 @@ "id": "90e742ca", "metadata": { "papermill": { - "duration": 0.04686, - "end_time": "2023-09-27T22:44:29.022459", + "duration": 0.028953, + "end_time": "2023-11-06T22:11:26.094558", "exception": false, - "start_time": "2023-09-27T22:44:28.975599", + "start_time": "2023-11-06T22:11:26.065605", "status": "completed" }, "pycharm": { @@ -5193,16 +5237,16 @@ "id": "2935b6a8", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:29.127944Z", - "iopub.status.busy": "2023-09-27T22:44:29.126857Z", - "iopub.status.idle": "2023-09-27T22:44:29.134977Z", - "shell.execute_reply": "2023-09-27T22:44:29.133907Z" + "iopub.execute_input": "2023-11-06T22:11:26.154379Z", + "iopub.status.busy": "2023-11-06T22:11:26.153745Z", + "iopub.status.idle": "2023-11-06T22:11:26.158990Z", + "shell.execute_reply": "2023-11-06T22:11:26.158229Z" }, "papermill": { - "duration": 0.065767, - "end_time": "2023-09-27T22:44:29.137519", + "duration": 0.037386, + "end_time": "2023-11-06T22:11:26.160570", "exception": false, - "start_time": "2023-09-27T22:44:29.071752", + "start_time": "2023-11-06T22:11:26.123184", "status": "completed" }, "pycharm": { @@ -5214,12 +5258,14 @@ { "data": { "text/plain": [ - "Index(['equipment_name', 'full_genotype', 'mouse_id', 'reporter_line',\n", - " 'driver_line', 'sex', 'age_in_days', 'cre_line', 'indicator',\n", - " 'session_number', 'prior_exposures_to_session_type',\n", + "Index(['behavior_session_id', 'ophys_container_id', 'mouse_id', 'indicator',\n", + " 'full_genotype', 'driver_line', 'cre_line', 'reporter_line', 'sex',\n", + " 'age_in_days', 'imaging_plane_group_count', 'project_code',\n", + " 'session_type', 'session_number', 'image_set', 'behavior_type',\n", + " 'experience_level', 'prior_exposures_to_session_type',\n", " 'prior_exposures_to_image_set', 'prior_exposures_to_omissions',\n", - " 'behavior_session_id', 'ophys_experiment_id', 'ophys_container_id',\n", - " 'project_code', 'date_of_acquisition', 'session_type'],\n", + " 'date_of_acquisition', 'equipment_name', 'num_depths_per_area',\n", + " 'ophys_experiment_id', 'num_targeted_structures'],\n", " dtype='object')" ] }, @@ -5238,16 +5284,16 @@ "id": "a5fb01f7", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:29.242465Z", - "iopub.status.busy": "2023-09-27T22:44:29.241905Z", - "iopub.status.idle": "2023-09-27T22:44:29.248672Z", - "shell.execute_reply": "2023-09-27T22:44:29.247785Z" + "iopub.execute_input": "2023-11-06T22:11:26.221314Z", + "iopub.status.busy": "2023-11-06T22:11:26.220760Z", + "iopub.status.idle": "2023-11-06T22:11:26.225914Z", + "shell.execute_reply": "2023-11-06T22:11:26.225221Z" }, "papermill": { - "duration": 0.063126, - "end_time": "2023-09-27T22:44:29.251318", + "duration": 0.037303, + "end_time": "2023-11-06T22:11:26.227393", "exception": false, - "start_time": "2023-09-27T22:44:29.188192", + "start_time": "2023-11-06T22:11:26.190090", "status": "completed" }, "pycharm": { @@ -5259,14 +5305,15 @@ { "data": { "text/plain": [ - "Index(['equipment_name', 'full_genotype', 'mouse_id', 'reporter_line',\n", - " 'driver_line', 'sex', 'age_in_days', 'cre_line', 'indicator',\n", - " 'session_number', 'prior_exposures_to_session_type',\n", - " 'prior_exposures_to_image_set', 'prior_exposures_to_omissions',\n", - " 'ophys_session_id', 'behavior_session_id', 'ophys_container_id',\n", - " 'project_code', 'imaging_depth', 'targeted_structure',\n", - " 'date_of_acquisition', 'session_type', 'experience_level', 'passive',\n", - " 'image_set', 'file_id'],\n", + "Index(['behavior_session_id', 'ophys_session_id', 'ophys_container_id',\n", + " 'mouse_id', 'indicator', 'full_genotype', 'driver_line', 'cre_line',\n", + " 'reporter_line', 'sex', 'age_in_days', 'imaging_depth',\n", + " 'targeted_structure', 'targeted_imaging_depth', 'imaging_plane_group',\n", + " 'project_code', 'session_type', 'session_number', 'image_set',\n", + " 'behavior_type', 'passive', 'experience_level',\n", + " 'prior_exposures_to_session_type', 'prior_exposures_to_image_set',\n", + " 'prior_exposures_to_omissions', 'date_of_acquisition', 'equipment_name',\n", + " 'published_at', 'isi_experiment_id', 'file_id'],\n", " dtype='object')" ] }, @@ -5284,10 +5331,10 @@ "id": "731e2ab8", "metadata": { "papermill": { - "duration": 0.097331, - "end_time": "2023-09-27T22:44:29.400657", + "duration": 0.028649, + "end_time": "2023-11-06T22:11:26.285595", "exception": false, - "start_time": "2023-09-27T22:44:29.303326", + "start_time": "2023-11-06T22:11:26.256946", "status": "completed" }, "pycharm": { @@ -5305,16 +5352,16 @@ "id": "31028431", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:29.496973Z", - "iopub.status.busy": "2023-09-27T22:44:29.496503Z", - "iopub.status.idle": "2023-09-27T22:44:29.515907Z", - "shell.execute_reply": "2023-09-27T22:44:29.514918Z" + "iopub.execute_input": "2023-11-06T22:11:26.344450Z", + "iopub.status.busy": "2023-11-06T22:11:26.344166Z", + "iopub.status.idle": "2023-11-06T22:11:26.355952Z", + "shell.execute_reply": "2023-11-06T22:11:26.355230Z" }, "papermill": { - "duration": 0.071521, - "end_time": "2023-09-27T22:44:29.518463", + "duration": 0.043211, + "end_time": "2023-11-06T22:11:26.357445", "exception": false, - "start_time": "2023-09-27T22:44:29.446942", + "start_time": "2023-11-06T22:11:26.314234", "status": "completed" }, "pycharm": { @@ -5328,16 +5375,16 @@ "output_type": "stream", "text": [ "\n", - "imaging_depths available for VisualBehaviorMultiscope include: [300 225 150 75 85 169 263 73 359 271 79 275 267 363 361 167 365 367\n", - " 269 177 283 175 371 373 81 165 369 171 77 83 377 279 259 274 146 152\n", - " 227 71 144 158 276 142 69 160 217 87 51 140 219 215 156 162 211 221\n", - " 148 166 223 231 93 282 174 213 320 306 229 298 218 232 285 179 270 272\n", - " 251 273 145 154 302 308 278 312 383 161 381 265 261 230 290 228 284 61\n", - " 233 292 304 65 289 235 310 375 280 281 295 197 91 187 277 355 183 181\n", - " 291 185 95 173 67 321 149 287 220 322 226 222 315 294 147 286 132 316\n", + "imaging_depths available for VisualBehaviorMultiscope include: [150 225 75 300 169 263 73 359 271 85 267 361 167 275 79 363 177 269\n", + " 365 175 283 367 165 373 81 371 369 171 259 77 279 83 377 274 152 71\n", + " 146 227 158 144 276 160 87 142 217 69 51 140 219 215 156 211 162 148\n", + " 223 166 231 174 282 93 213 221 229 306 320 298 232 218 179 285 270 272\n", + " 145 251 273 154 308 302 278 312 383 161 381 265 261 230 290 228 61 284\n", + " 233 304 292 65 289 235 310 375 280 281 187 91 197 295 183 355 277 181\n", + " 185 291 95 173 67 321 149 287 322 220 226 222 315 147 294 286 132 316\n", " 296 350 348 379 340 345]\n", "\n", - "targeted_structures available for VisualBehaviorMultiscope include: ['VISl' 'VISp']\n", + "targeted_structures available for VisualBehaviorMultiscope include: ['VISp' 'VISl']\n", "\n", "\n", "\n", @@ -5347,21 +5394,21 @@ "\n", "\n", "\n", - "imaging_depths available for VisualBehavior include: [175 375 290 275]\n", + "imaging_depths available for VisualBehavior include: [175 375 275 290]\n", "\n", "targeted_structures available for VisualBehavior include: ['VISp']\n", "\n", "\n", "\n", - "imaging_depths available for VisualBehaviorMultiscope4areasx2d include: [179 187 163 263 265 167 267 271 169 171 183 255 181 277 175 273 275 269\n", - " 185 193 283 189 165 177 173 159 279 281 240 150 260 160 205 155 210 145\n", - " 270 125 295 170 289 191 300 182 257 174 285 245 195 250 297 251 249 156\n", - " 190 176 305 244 310 200 107 123 157 227 153 103 111 139 225 161 109 110\n", - " 137 221 101 219 135 121 151 105 261 213 217 211 143 133 117 241 223 147\n", - " 287 308 178 180 286 290 268 280 141 253 201 254 235 128 230 132 224 222\n", - " 233 130 229 124 236 134]\n", + "imaging_depths available for VisualBehaviorMultiscope4areasx2d include: [187 163 263 179 265 167 267 183 171 255 181 169 271 175 273 277 275 269\n", + " 193 185 189 283 177 165 173 159 279 281 150 260 240 160 205 155 210 145\n", + " 125 270 300 182 174 257 285 170 245 295 195 250 156 251 297 249 190 305\n", + " 176 244 200 310 107 153 227 123 103 157 111 161 139 225 109 110 137 221\n", + " 101 135 219 121 151 105 261 213 217 143 211 133 241 117 147 223 287 308\n", + " 178 180 290 286 280 268 141 253 289 201 254 235 230 128 224 132 222 233\n", + " 229 130 124 236 134 191]\n", "\n", - "targeted_structures available for VisualBehaviorMultiscope4areasx2d include: ['VISal' 'VISp' 'VISl' 'VISam']\n", + "targeted_structures available for VisualBehaviorMultiscope4areasx2d include: ['VISp' 'VISl' 'VISal' 'VISam']\n", "\n", "\n" ] @@ -5382,10 +5429,10 @@ "id": "b875e804", "metadata": { "papermill": { - "duration": 0.048992, - "end_time": "2023-09-27T22:44:29.614361", + "duration": 0.027699, + "end_time": "2023-11-06T22:11:26.415038", "exception": false, - "start_time": "2023-09-27T22:44:29.565369", + "start_time": "2023-11-06T22:11:26.387339", "status": "completed" }, "pycharm": { @@ -5402,10 +5449,10 @@ "id": "f9211fc5", "metadata": { "papermill": { - "duration": 0.048643, - "end_time": "2023-09-27T22:44:29.709168", + "duration": 0.028256, + "end_time": "2023-11-06T22:11:26.471891", "exception": false, - "start_time": "2023-09-27T22:44:29.660525", + "start_time": "2023-11-06T22:11:26.443635", "status": "completed" }, "pycharm": { @@ -5422,10 +5469,10 @@ "id": "cc59f9dc", "metadata": { "papermill": { - "duration": 0.050988, - "end_time": "2023-09-27T22:44:29.808161", + "duration": 0.027851, + "end_time": "2023-11-06T22:11:26.527822", "exception": false, - "start_time": "2023-09-27T22:44:29.757173", + "start_time": "2023-11-06T22:11:26.499971", "status": "completed" }, "pycharm": { @@ -5443,16 +5490,16 @@ "id": "54f91b4f", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:29.911321Z", - "iopub.status.busy": "2023-09-27T22:44:29.910316Z", - "iopub.status.idle": "2023-09-27T22:44:29.917243Z", - "shell.execute_reply": "2023-09-27T22:44:29.916226Z" + "iopub.execute_input": "2023-11-06T22:11:26.587078Z", + "iopub.status.busy": "2023-11-06T22:11:26.586287Z", + "iopub.status.idle": "2023-11-06T22:11:26.591565Z", + "shell.execute_reply": "2023-11-06T22:11:26.590916Z" }, "papermill": { - "duration": 0.05988, - "end_time": "2023-09-27T22:44:29.919688", + "duration": 0.037194, + "end_time": "2023-11-06T22:11:26.592997", "exception": false, - "start_time": "2023-09-27T22:44:29.859808", + "start_time": "2023-11-06T22:11:26.555803", "status": "completed" }, "pycharm": { @@ -5465,14 +5512,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "Index(['equipment_name', 'full_genotype', 'mouse_id', 'reporter_line',\n", - " 'driver_line', 'sex', 'age_in_days', 'cre_line', 'indicator',\n", - " 'session_number', 'prior_exposures_to_session_type',\n", - " 'prior_exposures_to_image_set', 'prior_exposures_to_omissions',\n", - " 'ophys_session_id', 'behavior_session_id', 'ophys_container_id',\n", - " 'project_code', 'imaging_depth', 'targeted_structure',\n", - " 'date_of_acquisition', 'session_type', 'experience_level', 'passive',\n", - " 'image_set', 'file_id'],\n", + "Index(['behavior_session_id', 'ophys_session_id', 'ophys_container_id',\n", + " 'mouse_id', 'indicator', 'full_genotype', 'driver_line', 'cre_line',\n", + " 'reporter_line', 'sex', 'age_in_days', 'imaging_depth',\n", + " 'targeted_structure', 'targeted_imaging_depth', 'imaging_plane_group',\n", + " 'project_code', 'session_type', 'session_number', 'image_set',\n", + " 'behavior_type', 'passive', 'experience_level',\n", + " 'prior_exposures_to_session_type', 'prior_exposures_to_image_set',\n", + " 'prior_exposures_to_omissions', 'date_of_acquisition', 'equipment_name',\n", + " 'published_at', 'isi_experiment_id', 'file_id'],\n", " dtype='object')\n" ] } @@ -5486,10 +5534,10 @@ "id": "d6c74213", "metadata": { "papermill": { - "duration": 0.050766, - "end_time": "2023-09-27T22:44:30.019387", + "duration": 0.028094, + "end_time": "2023-11-06T22:11:26.650156", "exception": false, - "start_time": "2023-09-27T22:44:29.968621", + "start_time": "2023-11-06T22:11:26.622062", "status": "completed" }, "pycharm": { @@ -5506,10 +5554,10 @@ "id": "b8fe48de", "metadata": { "papermill": { - "duration": 0.046602, - "end_time": "2023-09-27T22:44:30.115447", + "duration": 0.028695, + "end_time": "2023-11-06T22:11:26.707405", "exception": false, - "start_time": "2023-09-27T22:44:30.068845", + "start_time": "2023-11-06T22:11:26.678710", "status": "completed" }, "pycharm": { @@ -5527,16 +5575,16 @@ "id": "5c519ede", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:30.215174Z", - "iopub.status.busy": "2023-09-27T22:44:30.214170Z", - "iopub.status.idle": "2023-09-27T22:44:30.220179Z", - "shell.execute_reply": "2023-09-27T22:44:30.218836Z" + "iopub.execute_input": "2023-11-06T22:11:26.766952Z", + "iopub.status.busy": "2023-11-06T22:11:26.766627Z", + "iopub.status.idle": "2023-11-06T22:11:26.770618Z", + "shell.execute_reply": "2023-11-06T22:11:26.770046Z" }, "papermill": { - "duration": 0.059132, - "end_time": "2023-09-27T22:44:30.222702", + "duration": 0.035494, + "end_time": "2023-11-06T22:11:26.772019", "exception": false, - "start_time": "2023-09-27T22:44:30.163570", + "start_time": "2023-11-06T22:11:26.736525", "status": "completed" }, "pycharm": { @@ -5555,16 +5603,16 @@ "id": "1c04f4fd", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:30.323788Z", - "iopub.status.busy": "2023-09-27T22:44:30.323383Z", - "iopub.status.idle": "2023-09-27T22:44:30.364125Z", - "shell.execute_reply": "2023-09-27T22:44:30.362942Z" + "iopub.execute_input": "2023-11-06T22:11:26.830406Z", + "iopub.status.busy": "2023-11-06T22:11:26.829868Z", + "iopub.status.idle": "2023-11-06T22:11:26.848232Z", + "shell.execute_reply": "2023-11-06T22:11:26.847530Z" }, "papermill": { - "duration": 0.092672, - "end_time": "2023-09-27T22:44:30.366330", + "duration": 0.04851, + "end_time": "2023-11-06T22:11:26.849645", "exception": false, - "start_time": "2023-09-27T22:44:30.273658", + "start_time": "2023-11-06T22:11:26.801135", "status": "completed" }, "pycharm": { @@ -5594,26 +5642,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", - " sex\n", - " age_in_days\n", " cre_line\n", - " indicator\n", - " session_number\n", + " reporter_line\n", + " sex\n", " ...\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", - " date_of_acquisition\n", - " session_type\n", - " experience_level\n", " passive\n", - " image_set\n", + " experience_level\n", + " prior_exposures_to_session_type\n", + " prior_exposures_to_image_set\n", + " prior_exposures_to_omissions\n", + " date_of_acquisition\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -5643,246 +5691,212 @@ " \n", " \n", " \n", - " 975608416\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 975608418\n", + " 975239345\n", + " 975050422\n", + " 1018027765\n", " 484408\n", - " Ai93(TITL-GCaMP6f)\n", + " GCaMP6f\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 116.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 269\n", - " VISal\n", - " 2019-11-01 08:45:55.294593+00:00\n", - " OPHYS_1_images_G\n", - " Familiar\n", " False\n", - " G\n", - " 1120141220\n", + " Familiar\n", + " 0\n", + " 9\n", + " 1\n", + " 2019-11-01 09:25:23.468000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 942701302\n", + " 293\n", " \n", " \n", - " 976300321\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 976300323\n", + " 976039179\n", + " 975929719\n", + " 1018027765\n", " 484408\n", - " Ai93(TITL-GCaMP6f)\n", + " GCaMP6f\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 119.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 2\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 271\n", - " VISal\n", - " 2019-11-04 08:32:36.235453+00:00\n", - " OPHYS_2_images_G_passive\n", - " Familiar\n", " True\n", - " G\n", - " 1120140964\n", + " Familiar\n", + " 0\n", + " 10\n", + " 2\n", + " 2019-11-04 09:21:00.916000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 942701302\n", + " 301\n", " \n", " \n", - " 977220491\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 977220493\n", + " 976964099\n", + " 976865980\n", + " 1018027765\n", " 484408\n", - " Ai93(TITL-GCaMP6f)\n", + " GCaMP6f\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 120.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 3\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 279\n", - " VISal\n", - " 2019-11-05 13:17:13.145749+00:00\n", - " OPHYS_3_images_G\n", - " Familiar\n", " False\n", - " G\n", - " 1120141255\n", + " Familiar\n", + " 0\n", + " 11\n", + " 3\n", + " 2019-11-05 13:35:33.124000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 942701302\n", + " 309\n", " \n", " \n", - " 977975800\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 977975802\n", + " 977451727\n", + " 977288921\n", + " 1018027765\n", " 484408\n", - " Ai93(TITL-GCaMP6f)\n", + " GCaMP6f\n", + " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 121.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 4\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 267\n", - " VISal\n", - " 2019-11-06 08:27:13.524215+00:00\n", - " OPHYS_4_images_H\n", - " Novel 1\n", " False\n", - " H\n", - " 1120141293\n", + " Novel 1\n", + " 0\n", + " 0\n", + " 4\n", + " 2019-11-06 09:02:04.020000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 942701302\n", + " 317\n", " \n", " \n", - " 978284060\n", - " MESO.1\n", - " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", + " 978866908\n", + " 978554430\n", + " 978323049\n", + " 1018027765\n", " 484408\n", - " Ai93(TITL-GCaMP6f)\n", - " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 122.0\n", - " Slc17a7-IRES2-Cre\n", " GCaMP6f\n", - " 5\n", - " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 265\n", - " VISal\n", - " 2019-11-07 10:50:28.679567+00:00\n", - " OPHYS_5_images_H_passive\n", - " Novel >1\n", - " True\n", - " H\n", - " 1120141065\n", - " \n", - " \n", - " 978866906\n", - " MESO.1\n", " Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G...\n", - " 484408\n", - " Ai93(TITL-GCaMP6f)\n", " [Slc17a7-IRES2-Cre, Camk2a-tTA]\n", - " M\n", - " 123.0\n", " Slc17a7-IRES2-Cre\n", - " GCaMP6f\n", - " 6\n", + " Ai93(TITL-GCaMP6f)\n", + " M\n", " ...\n", - " 1018027762\n", - " VisualBehaviorMultiscope4areasx2d\n", - " 273\n", - " VISal\n", - " 2019-11-08 08:16:50.612003+00:00\n", - " OPHYS_6_images_H\n", - " Novel >1\n", " False\n", - " H\n", - " 1120141177\n", + " Novel >1\n", + " 0\n", + " 2\n", + " 6\n", + " 2019-11-08 08:52:05.141000+00:00\n", + " MESO.1\n", + " 2021-08-12\n", + " 942701302\n", + " 332\n", " \n", " \n", "\n", - "

    6 rows × 25 columns

    \n", + "

    5 rows × 30 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "975608416 MESO.1 \n", - "976300321 MESO.1 \n", - "977220491 MESO.1 \n", - "977975800 MESO.1 \n", - "978284060 MESO.1 \n", - "978866906 MESO.1 \n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "975608418 975239345 975050422 \n", + "976300323 976039179 975929719 \n", + "977220493 976964099 976865980 \n", + "977975802 977451727 977288921 \n", + "978866908 978554430 978323049 \n", + "\n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "975608418 1018027765 484408 GCaMP6f \n", + "976300323 1018027765 484408 GCaMP6f \n", + "977220493 1018027765 484408 GCaMP6f \n", + "977975802 1018027765 484408 GCaMP6f \n", + "978866908 1018027765 484408 GCaMP6f \n", "\n", " full_genotype \\\n", "ophys_experiment_id \n", - "975608416 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "976300321 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "977220491 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "977975800 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "978284060 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", - "978866906 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "975608418 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "976300323 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "977220493 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "977975802 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", + "978866908 Slc17a7-IRES2-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-G... \n", "\n", - " mouse_id reporter_line \\\n", - "ophys_experiment_id \n", - "975608416 484408 Ai93(TITL-GCaMP6f) \n", - "976300321 484408 Ai93(TITL-GCaMP6f) \n", - "977220491 484408 Ai93(TITL-GCaMP6f) \n", - "977975800 484408 Ai93(TITL-GCaMP6f) \n", - "978284060 484408 Ai93(TITL-GCaMP6f) \n", - "978866906 484408 Ai93(TITL-GCaMP6f) \n", - "\n", - " driver_line sex age_in_days \\\n", - "ophys_experiment_id \n", - "975608416 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 116.0 \n", - "976300321 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 119.0 \n", - "977220491 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 120.0 \n", - "977975800 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 121.0 \n", - "978284060 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 122.0 \n", - "978866906 [Slc17a7-IRES2-Cre, Camk2a-tTA] M 123.0 \n", + " driver_line cre_line \\\n", + "ophys_experiment_id \n", + "975608418 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "976300323 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "977220493 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "977975802 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", + "978866908 [Slc17a7-IRES2-Cre, Camk2a-tTA] Slc17a7-IRES2-Cre \n", "\n", - " cre_line indicator session_number ... \\\n", - "ophys_experiment_id ... \n", - "975608416 Slc17a7-IRES2-Cre GCaMP6f 1 ... \n", - "976300321 Slc17a7-IRES2-Cre GCaMP6f 2 ... \n", - "977220491 Slc17a7-IRES2-Cre GCaMP6f 3 ... \n", - "977975800 Slc17a7-IRES2-Cre GCaMP6f 4 ... \n", - "978284060 Slc17a7-IRES2-Cre GCaMP6f 5 ... \n", - "978866906 Slc17a7-IRES2-Cre GCaMP6f 6 ... \n", + " reporter_line sex ... passive experience_level \\\n", + "ophys_experiment_id ... \n", + "975608418 Ai93(TITL-GCaMP6f) M ... False Familiar \n", + "976300323 Ai93(TITL-GCaMP6f) M ... True Familiar \n", + "977220493 Ai93(TITL-GCaMP6f) M ... False Familiar \n", + "977975802 Ai93(TITL-GCaMP6f) M ... False Novel 1 \n", + "978866908 Ai93(TITL-GCaMP6f) M ... False Novel >1 \n", "\n", - " ophys_container_id project_code \\\n", - "ophys_experiment_id \n", - "975608416 1018027762 VisualBehaviorMultiscope4areasx2d \n", - "976300321 1018027762 VisualBehaviorMultiscope4areasx2d \n", - "977220491 1018027762 VisualBehaviorMultiscope4areasx2d \n", - "977975800 1018027762 VisualBehaviorMultiscope4areasx2d \n", - "978284060 1018027762 VisualBehaviorMultiscope4areasx2d \n", - "978866906 1018027762 VisualBehaviorMultiscope4areasx2d \n", + " prior_exposures_to_session_type \\\n", + "ophys_experiment_id \n", + "975608418 0 \n", + "976300323 0 \n", + "977220493 0 \n", + "977975802 0 \n", + "978866908 0 \n", "\n", - " imaging_depth targeted_structure \\\n", - "ophys_experiment_id \n", - "975608416 269 VISal \n", - "976300321 271 VISal \n", - "977220491 279 VISal \n", - "977975800 267 VISal \n", - "978284060 265 VISal \n", - "978866906 273 VISal \n", + " prior_exposures_to_image_set \\\n", + "ophys_experiment_id \n", + "975608418 9 \n", + "976300323 10 \n", + "977220493 11 \n", + "977975802 0 \n", + "978866908 2 \n", "\n", - " date_of_acquisition \\\n", - "ophys_experiment_id \n", - "975608416 2019-11-01 08:45:55.294593+00:00 \n", - "976300321 2019-11-04 08:32:36.235453+00:00 \n", - "977220491 2019-11-05 13:17:13.145749+00:00 \n", - "977975800 2019-11-06 08:27:13.524215+00:00 \n", - "978284060 2019-11-07 10:50:28.679567+00:00 \n", - "978866906 2019-11-08 08:16:50.612003+00:00 \n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "975608418 1 \n", + "976300323 2 \n", + "977220493 3 \n", + "977975802 4 \n", + "978866908 6 \n", "\n", - " session_type experience_level passive \\\n", - "ophys_experiment_id \n", - "975608416 OPHYS_1_images_G Familiar False \n", - "976300321 OPHYS_2_images_G_passive Familiar True \n", - "977220491 OPHYS_3_images_G Familiar False \n", - "977975800 OPHYS_4_images_H Novel 1 False \n", - "978284060 OPHYS_5_images_H_passive Novel >1 True \n", - "978866906 OPHYS_6_images_H Novel >1 False \n", + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "975608418 2019-11-01 09:25:23.468000+00:00 MESO.1 \n", + "976300323 2019-11-04 09:21:00.916000+00:00 MESO.1 \n", + "977220493 2019-11-05 13:35:33.124000+00:00 MESO.1 \n", + "977975802 2019-11-06 09:02:04.020000+00:00 MESO.1 \n", + "978866908 2019-11-08 08:52:05.141000+00:00 MESO.1 \n", "\n", - " image_set file_id \n", - "ophys_experiment_id \n", - "975608416 G 1120141220 \n", - "976300321 G 1120140964 \n", - "977220491 G 1120141255 \n", - "977975800 H 1120141293 \n", - "978284060 H 1120141065 \n", - "978866906 H 1120141177 \n", + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "975608418 2021-08-12 942701302 293 \n", + "976300323 2021-08-12 942701302 301 \n", + "977220493 2021-08-12 942701302 309 \n", + "977975802 2021-08-12 942701302 317 \n", + "978866908 2021-08-12 942701302 332 \n", "\n", - "[6 rows x 25 columns]" + "[5 rows x 30 columns]" ] }, "execution_count": 46, @@ -5900,10 +5914,10 @@ "id": "08c3f8d5", "metadata": { "papermill": { - "duration": 0.04972, - "end_time": "2023-09-27T22:44:30.464447", + "duration": 0.029291, + "end_time": "2023-11-06T22:11:26.907929", "exception": false, - "start_time": "2023-09-27T22:44:30.414727", + "start_time": "2023-11-06T22:11:26.878638", "status": "completed" }, "pycharm": { @@ -5920,10 +5934,10 @@ "id": "a9dc1c8f", "metadata": { "papermill": { - "duration": 0.04892, - "end_time": "2023-09-27T22:44:30.561103", + "duration": 0.029608, + "end_time": "2023-11-06T22:11:26.967039", "exception": false, - "start_time": "2023-09-27T22:44:30.512183", + "start_time": "2023-11-06T22:11:26.937431", "status": "completed" }, "pycharm": { @@ -5941,16 +5955,16 @@ "id": "eea0fa3d", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:30.659921Z", - "iopub.status.busy": "2023-09-27T22:44:30.659284Z", - "iopub.status.idle": "2023-09-27T22:44:30.666761Z", - "shell.execute_reply": "2023-09-27T22:44:30.665686Z" + "iopub.execute_input": "2023-11-06T22:11:27.027829Z", + "iopub.status.busy": "2023-11-06T22:11:27.027541Z", + "iopub.status.idle": "2023-11-06T22:11:27.032881Z", + "shell.execute_reply": "2023-11-06T22:11:27.032145Z" }, "papermill": { - "duration": 0.058829, - "end_time": "2023-09-27T22:44:30.668979", + "duration": 0.037698, + "end_time": "2023-11-06T22:11:27.034392", "exception": false, - "start_time": "2023-09-27T22:44:30.610150", + "start_time": "2023-11-06T22:11:26.996694", "status": "completed" }, "pycharm": { @@ -5963,8 +5977,7 @@ "data": { "text/plain": [ "array(['OPHYS_1_images_G', 'OPHYS_2_images_G_passive', 'OPHYS_3_images_G',\n", - " 'OPHYS_4_images_H', 'OPHYS_5_images_H_passive', 'OPHYS_6_images_H'],\n", - " dtype=object)" + " 'OPHYS_4_images_H', 'OPHYS_6_images_H'], dtype=object)" ] }, "execution_count": 47, @@ -5981,10 +5994,10 @@ "id": "f765cf8d", "metadata": { "papermill": { - "duration": 0.0481, - "end_time": "2023-09-27T22:44:30.769361", + "duration": 0.030103, + "end_time": "2023-11-06T22:11:27.095126", "exception": false, - "start_time": "2023-09-27T22:44:30.721261", + "start_time": "2023-11-06T22:11:27.065023", "status": "completed" }, "pycharm": { @@ -6001,10 +6014,10 @@ "id": "2354be59", "metadata": { "papermill": { - "duration": 0.050226, - "end_time": "2023-09-27T22:44:30.869983", + "duration": 0.029247, + "end_time": "2023-11-06T22:11:27.154014", "exception": false, - "start_time": "2023-09-27T22:44:30.819757", + "start_time": "2023-11-06T22:11:27.124767", "status": "completed" }, "pycharm": { @@ -6023,10 +6036,10 @@ "id": "768b2dd4", "metadata": { "papermill": { - "duration": 0.050268, - "end_time": "2023-09-27T22:44:30.971172", + "duration": 0.029636, + "end_time": "2023-11-06T22:11:27.213017", "exception": false, - "start_time": "2023-09-27T22:44:30.920904", + "start_time": "2023-11-06T22:11:27.183381", "status": "completed" }, "pycharm": { @@ -6043,10 +6056,10 @@ "id": "3985b896", "metadata": { "papermill": { - "duration": 0.052827, - "end_time": "2023-09-27T22:44:31.080219", + "duration": 0.029031, + "end_time": "2023-11-06T22:11:27.271775", "exception": false, - "start_time": "2023-09-27T22:44:31.027392", + "start_time": "2023-11-06T22:11:27.242744", "status": "completed" }, "pycharm": { @@ -6065,10 +6078,10 @@ "id": "54d1a1d3", "metadata": { "papermill": { - "duration": 0.052583, - "end_time": "2023-09-27T22:44:31.193112", + "duration": 0.029955, + "end_time": "2023-11-06T22:11:27.331396", "exception": false, - "start_time": "2023-09-27T22:44:31.140529", + "start_time": "2023-11-06T22:11:27.301441", "status": "completed" }, "pycharm": { @@ -6085,10 +6098,10 @@ "id": "d982faa5", "metadata": { "papermill": { - "duration": 0.048797, - "end_time": "2023-09-27T22:44:31.293231", + "duration": 0.03045, + "end_time": "2023-11-06T22:11:27.391894", "exception": false, - "start_time": "2023-09-27T22:44:31.244434", + "start_time": "2023-11-06T22:11:27.361444", "status": "completed" }, "pycharm": { @@ -6107,10 +6120,10 @@ "id": "757f68db", "metadata": { "papermill": { - "duration": 0.048903, - "end_time": "2023-09-27T22:44:31.391392", + "duration": 0.030294, + "end_time": "2023-11-06T22:11:27.452395", "exception": false, - "start_time": "2023-09-27T22:44:31.342489", + "start_time": "2023-11-06T22:11:27.422101", "status": "completed" }, "pycharm": { @@ -6127,10 +6140,10 @@ "id": "2853c8c8", "metadata": { "papermill": { - "duration": 0.050508, - "end_time": "2023-09-27T22:44:31.489828", + "duration": 0.029323, + "end_time": "2023-11-06T22:11:27.511670", "exception": false, - "start_time": "2023-09-27T22:44:31.439320", + "start_time": "2023-11-06T22:11:27.482347", "status": "completed" }, "pycharm": { @@ -6149,10 +6162,10 @@ "id": "ec343aef", "metadata": { "papermill": { - "duration": 0.053018, - "end_time": "2023-09-27T22:44:31.591680", + "duration": 0.029512, + "end_time": "2023-11-06T22:11:27.570456", "exception": false, - "start_time": "2023-09-27T22:44:31.538662", + "start_time": "2023-11-06T22:11:27.540944", "status": "completed" }, "pycharm": { @@ -6172,10 +6185,10 @@ "id": "52140d97", "metadata": { "papermill": { - "duration": 0.054909, - "end_time": "2023-09-27T22:44:31.696346", + "duration": 0.029506, + "end_time": "2023-11-06T22:11:27.629110", "exception": false, - "start_time": "2023-09-27T22:44:31.641437", + "start_time": "2023-11-06T22:11:27.599604", "status": "completed" }, "pycharm": { @@ -6191,10 +6204,10 @@ "id": "12c7f170", "metadata": { "papermill": { - "duration": 0.060715, - "end_time": "2023-09-27T22:44:31.808482", + "duration": 0.028968, + "end_time": "2023-11-06T22:11:27.687880", "exception": false, - "start_time": "2023-09-27T22:44:31.747767", + "start_time": "2023-11-06T22:11:27.658912", "status": "completed" }, "pycharm": { @@ -6211,10 +6224,10 @@ "id": "1cedb900", "metadata": { "papermill": { - "duration": 0.050902, - "end_time": "2023-09-27T22:44:31.909321", + "duration": 0.028611, + "end_time": "2023-11-06T22:11:27.745939", "exception": false, - "start_time": "2023-09-27T22:44:31.858419", + "start_time": "2023-11-06T22:11:27.717328", "status": "completed" }, "pycharm": { @@ -6232,16 +6245,16 @@ "id": "67ec7003", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:32.013452Z", - "iopub.status.busy": "2023-09-27T22:44:32.013030Z", - "iopub.status.idle": "2023-09-27T22:44:32.023102Z", - "shell.execute_reply": "2023-09-27T22:44:32.022014Z" + "iopub.execute_input": "2023-11-06T22:11:27.806084Z", + "iopub.status.busy": "2023-11-06T22:11:27.805793Z", + "iopub.status.idle": "2023-11-06T22:11:27.811891Z", + "shell.execute_reply": "2023-11-06T22:11:27.811184Z" }, "papermill": { - "duration": 0.064229, - "end_time": "2023-09-27T22:44:32.025263", + "duration": 0.037618, + "end_time": "2023-11-06T22:11:27.813301", "exception": false, - "start_time": "2023-09-27T22:44:31.961034", + "start_time": "2023-11-06T22:11:27.775683", "status": "completed" }, "pycharm": { @@ -6274,16 +6287,16 @@ "id": "04008a46", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:32.134489Z", - "iopub.status.busy": "2023-09-27T22:44:32.132894Z", - "iopub.status.idle": "2023-09-27T22:44:32.172101Z", - "shell.execute_reply": "2023-09-27T22:44:32.170944Z" + "iopub.execute_input": "2023-11-06T22:11:27.873397Z", + "iopub.status.busy": "2023-11-06T22:11:27.872888Z", + "iopub.status.idle": "2023-11-06T22:11:27.892620Z", + "shell.execute_reply": "2023-11-06T22:11:27.891998Z" }, "papermill": { - "duration": 0.09883, - "end_time": "2023-09-27T22:44:32.174953", + "duration": 0.051277, + "end_time": "2023-11-06T22:11:27.894060", "exception": false, - "start_time": "2023-09-27T22:44:32.076123", + "start_time": "2023-11-06T22:11:27.842783", "status": "completed" }, "pycharm": { @@ -6313,26 +6326,26 @@ " \n", " \n", " \n", - " equipment_name\n", - " full_genotype\n", + " behavior_session_id\n", + " ophys_session_id\n", + " ophys_container_id\n", " mouse_id\n", - " reporter_line\n", + " indicator\n", + " full_genotype\n", " driver_line\n", - " sex\n", - " age_in_days\n", " cre_line\n", - " indicator\n", - " session_number\n", + " reporter_line\n", + " sex\n", " ...\n", - " ophys_container_id\n", - " project_code\n", - " imaging_depth\n", - " targeted_structure\n", - " date_of_acquisition\n", - " session_type\n", - " experience_level\n", " passive\n", - " image_set\n", + " experience_level\n", + " prior_exposures_to_session_type\n", + " prior_exposures_to_image_set\n", + " prior_exposures_to_omissions\n", + " date_of_acquisition\n", + " equipment_name\n", + " published_at\n", + " isi_experiment_id\n", " file_id\n", " \n", " \n", @@ -6363,227 +6376,245 @@ " \n", " \n", " 955276580\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 955110047\n", + " 954981981\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 149.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 1\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-09-25 20:06:45+00:00\n", - " OPHYS_1_images_B\n", - " Familiar\n", " False\n", - " B\n", - " 957317925\n", + " Familiar\n", + " 0\n", + " 20\n", + " 0\n", + " 2019-09-25 13:31:46+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 577\n", " \n", " \n", " 956903375\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 956213722\n", + " 955991376\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 150.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 2\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-09-26 17:34:33+00:00\n", - " OPHYS_2_images_B_passive\n", - " Familiar\n", " True\n", - " B\n", - " 957356891\n", + " Familiar\n", + " 0\n", + " 21\n", + " 1\n", + " 2019-09-26 11:13:06.028000+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 578\n", " \n", " \n", " 957652800\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 957331258\n", + " 957189583\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 151.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 3\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-09-27 18:37:17+00:00\n", - " OPHYS_3_images_B\n", - " Familiar\n", " False\n", - " B\n", - " 957800643\n", + " Familiar\n", + " 0\n", + " 22\n", + " 2\n", + " 2019-09-27 11:57:27.017000+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 579\n", " \n", " \n", " 959337347\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 958994511\n", + " 958931715\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 155.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 4\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-10-01 17:57:39+00:00\n", - " OPHYS_4_images_A\n", - " Novel >1\n", " False\n", - " A\n", - " 959436242\n", + " Novel >1\n", + " 2\n", + " 2\n", + " 5\n", + " 2019-10-01 11:20:24.445000+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 580\n", " \n", " \n", " 960351917\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 959893902\n", + " 959751299\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 156.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 5\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-10-02 18:23:56+00:00\n", - " OPHYS_5_images_A_passive\n", - " Novel >1\n", " True\n", - " A\n", - " 960425985\n", + " Novel >1\n", + " 0\n", + " 3\n", + " 6\n", + " 2019-10-02 11:46:04.405000+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 581\n", " \n", " \n", " 960960480\n", - " CAM2P.5\n", - " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + " 960697332\n", + " 960593969\n", + " 941373529\n", " 470784\n", - " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " GCaMP6f\n", + " Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", " [Sst-IRES-Cre]\n", - " F\n", - " 157.0\n", " Sst-IRES-Cre\n", - " GCaMP6f\n", - " 6\n", + " Ai148(TIT2L-GC6f-ICL-tTA2)\n", + " F\n", " ...\n", - " 941373529\n", - " VisualBehaviorTask1B\n", - " 275\n", - " VISp\n", - " 2019-10-03 18:01:02+00:00\n", - " OPHYS_6_images_A\n", - " Novel >1\n", " False\n", - " A\n", - " 961030683\n", + " Novel >1\n", + " 0\n", + " 4\n", + " 7\n", + " 2019-10-03 11:25:31.172000+00:00\n", + " CAM2P.5\n", + " 2021-03-25\n", + " 899181668\n", + " 582\n", " \n", " \n", "\n", - "

    6 rows × 25 columns

    \n", + "

    6 rows × 30 columns

    \n", "" ], "text/plain": [ - " equipment_name \\\n", - "ophys_experiment_id \n", - "955276580 CAM2P.5 \n", - "956903375 CAM2P.5 \n", - "957652800 CAM2P.5 \n", - "959337347 CAM2P.5 \n", - "960351917 CAM2P.5 \n", - "960960480 CAM2P.5 \n", + " behavior_session_id ophys_session_id \\\n", + "ophys_experiment_id \n", + "955276580 955110047 954981981 \n", + "956903375 956213722 955991376 \n", + "957652800 957331258 957189583 \n", + "959337347 958994511 958931715 \n", + "960351917 959893902 959751299 \n", + "960960480 960697332 960593969 \n", "\n", - " full_genotype mouse_id \\\n", - "ophys_experiment_id \n", - "955276580 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", - "956903375 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", - "957652800 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", - "959337347 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", - "960351917 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", - "960960480 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt 470784 \n", + " ophys_container_id mouse_id indicator \\\n", + "ophys_experiment_id \n", + "955276580 941373529 470784 GCaMP6f \n", + "956903375 941373529 470784 GCaMP6f \n", + "957652800 941373529 470784 GCaMP6f \n", + "959337347 941373529 470784 GCaMP6f \n", + "960351917 941373529 470784 GCaMP6f \n", + "960960480 941373529 470784 GCaMP6f \n", "\n", - " reporter_line driver_line sex \\\n", - "ophys_experiment_id \n", - "955276580 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "956903375 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "957652800 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "959337347 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "960351917 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", - "960960480 Ai148(TIT2L-GC6f-ICL-tTA2) [Sst-IRES-Cre] F \n", + " full_genotype \\\n", + "ophys_experiment_id \n", + "955276580 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "956903375 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "957652800 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "959337347 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "960351917 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", + "960960480 Sst-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt \n", "\n", - " age_in_days cre_line indicator session_number ... \\\n", - "ophys_experiment_id ... \n", - "955276580 149.0 Sst-IRES-Cre GCaMP6f 1 ... \n", - "956903375 150.0 Sst-IRES-Cre GCaMP6f 2 ... \n", - "957652800 151.0 Sst-IRES-Cre GCaMP6f 3 ... \n", - "959337347 155.0 Sst-IRES-Cre GCaMP6f 4 ... \n", - "960351917 156.0 Sst-IRES-Cre GCaMP6f 5 ... \n", - "960960480 157.0 Sst-IRES-Cre GCaMP6f 6 ... \n", + " driver_line cre_line reporter_line \\\n", + "ophys_experiment_id \n", + "955276580 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "956903375 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "957652800 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "959337347 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "960351917 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", + "960960480 [Sst-IRES-Cre] Sst-IRES-Cre Ai148(TIT2L-GC6f-ICL-tTA2) \n", "\n", - " ophys_container_id project_code imaging_depth \\\n", - "ophys_experiment_id \n", - "955276580 941373529 VisualBehaviorTask1B 275 \n", - "956903375 941373529 VisualBehaviorTask1B 275 \n", - "957652800 941373529 VisualBehaviorTask1B 275 \n", - "959337347 941373529 VisualBehaviorTask1B 275 \n", - "960351917 941373529 VisualBehaviorTask1B 275 \n", - "960960480 941373529 VisualBehaviorTask1B 275 \n", + " sex ... passive experience_level \\\n", + "ophys_experiment_id ... \n", + "955276580 F ... False Familiar \n", + "956903375 F ... True Familiar \n", + "957652800 F ... False Familiar \n", + "959337347 F ... False Novel >1 \n", + "960351917 F ... True Novel >1 \n", + "960960480 F ... False Novel >1 \n", "\n", - " targeted_structure date_of_acquisition \\\n", - "ophys_experiment_id \n", - "955276580 VISp 2019-09-25 20:06:45+00:00 \n", - "956903375 VISp 2019-09-26 17:34:33+00:00 \n", - "957652800 VISp 2019-09-27 18:37:17+00:00 \n", - "959337347 VISp 2019-10-01 17:57:39+00:00 \n", - "960351917 VISp 2019-10-02 18:23:56+00:00 \n", - "960960480 VISp 2019-10-03 18:01:02+00:00 \n", + " prior_exposures_to_session_type \\\n", + "ophys_experiment_id \n", + "955276580 0 \n", + "956903375 0 \n", + "957652800 0 \n", + "959337347 2 \n", + "960351917 0 \n", + "960960480 0 \n", "\n", - " session_type experience_level passive \\\n", - "ophys_experiment_id \n", - "955276580 OPHYS_1_images_B Familiar False \n", - "956903375 OPHYS_2_images_B_passive Familiar True \n", - "957652800 OPHYS_3_images_B Familiar False \n", - "959337347 OPHYS_4_images_A Novel >1 False \n", - "960351917 OPHYS_5_images_A_passive Novel >1 True \n", - "960960480 OPHYS_6_images_A Novel >1 False \n", + " prior_exposures_to_image_set \\\n", + "ophys_experiment_id \n", + "955276580 20 \n", + "956903375 21 \n", + "957652800 22 \n", + "959337347 2 \n", + "960351917 3 \n", + "960960480 4 \n", + "\n", + " prior_exposures_to_omissions \\\n", + "ophys_experiment_id \n", + "955276580 0 \n", + "956903375 1 \n", + "957652800 2 \n", + "959337347 5 \n", + "960351917 6 \n", + "960960480 7 \n", "\n", - " image_set file_id \n", - "ophys_experiment_id \n", - "955276580 B 957317925 \n", - "956903375 B 957356891 \n", - "957652800 B 957800643 \n", - "959337347 A 959436242 \n", - "960351917 A 960425985 \n", - "960960480 A 961030683 \n", + " date_of_acquisition equipment_name \\\n", + "ophys_experiment_id \n", + "955276580 2019-09-25 13:31:46+00:00 CAM2P.5 \n", + "956903375 2019-09-26 11:13:06.028000+00:00 CAM2P.5 \n", + "957652800 2019-09-27 11:57:27.017000+00:00 CAM2P.5 \n", + "959337347 2019-10-01 11:20:24.445000+00:00 CAM2P.5 \n", + "960351917 2019-10-02 11:46:04.405000+00:00 CAM2P.5 \n", + "960960480 2019-10-03 11:25:31.172000+00:00 CAM2P.5 \n", "\n", - "[6 rows x 25 columns]" + " published_at isi_experiment_id file_id \n", + "ophys_experiment_id \n", + "955276580 2021-03-25 899181668 577 \n", + "956903375 2021-03-25 899181668 578 \n", + "957652800 2021-03-25 899181668 579 \n", + "959337347 2021-03-25 899181668 580 \n", + "960351917 2021-03-25 899181668 581 \n", + "960960480 2021-03-25 899181668 582 \n", + "\n", + "[6 rows x 30 columns]" ] }, "execution_count": 49, @@ -6602,10 +6633,10 @@ "id": "d298a228", "metadata": { "papermill": { - "duration": 0.062992, - "end_time": "2023-09-27T22:44:32.290169", + "duration": 0.029493, + "end_time": "2023-11-06T22:11:27.953084", "exception": false, - "start_time": "2023-09-27T22:44:32.227177", + "start_time": "2023-11-06T22:11:27.923591", "status": "completed" }, "pycharm": { @@ -6623,16 +6654,16 @@ "id": "53012df3", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:32.398124Z", - "iopub.status.busy": "2023-09-27T22:44:32.397271Z", - "iopub.status.idle": "2023-09-27T22:44:33.014944Z", - "shell.execute_reply": "2023-09-27T22:44:33.013617Z" + "iopub.execute_input": "2023-11-06T22:11:28.013936Z", + "iopub.status.busy": "2023-11-06T22:11:28.013310Z", + "iopub.status.idle": "2023-11-06T22:11:28.275311Z", + "shell.execute_reply": "2023-11-06T22:11:28.274629Z" }, "papermill": { - "duration": 0.67432, - "end_time": "2023-09-27T22:44:33.017848", + "duration": 0.2945, + "end_time": "2023-11-06T22:11:28.277054", "exception": false, - "start_time": "2023-09-27T22:44:32.343528", + "start_time": "2023-11-06T22:11:27.982554", "status": "completed" }, "pycharm": { @@ -6651,16 +6682,16 @@ "id": "783a85a4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:44:33.123661Z", - "iopub.status.busy": "2023-09-27T22:44:33.122535Z", - "iopub.status.idle": "2023-09-27T22:47:07.938778Z", - "shell.execute_reply": "2023-09-27T22:47:07.937853Z" + "iopub.execute_input": "2023-11-06T22:11:28.338125Z", + "iopub.status.busy": "2023-11-06T22:11:28.337483Z", + "iopub.status.idle": "2023-11-06T22:13:45.243636Z", + "shell.execute_reply": "2023-11-06T22:13:45.242940Z" }, "papermill": { - "duration": 154.961779, - "end_time": "2023-09-27T22:47:08.030936", + "duration": 136.938248, + "end_time": "2023-11-06T22:13:45.245166", "exception": false, - "start_time": "2023-09-27T22:44:33.069157", + "start_time": "2023-11-06T22:11:28.306918", "status": "completed" }, "pycharm": { @@ -6673,41 +6704,17 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_955276580.nwb: 100%|██████████| 280M/280M [00:17<00:00, 15.9MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_956903375.nwb: 100%|██████████| 288M/288M [00:19<00:00, 15.1MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is 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because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_960351917.nwb: 100%|██████████| 295M/295M [00:17<00:00, 16.4MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_960960480.nwb: 100%|██████████| 300M/300M [00:19<00:00, 15.3MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_ophys_experiment_955276580.nwb: 100%|██████████| 313M/313M [00:18<00:00, 17.3MMB/s]\n", + "behavior_ophys_experiment_956903375.nwb: 100%|██████████| 322M/322M [00:17<00:00, 18.0MMB/s]\n", + "behavior_ophys_experiment_957652800.nwb: 100%|██████████| 318M/318M [00:17<00:00, 18.0MMB/s]\n", + "behavior_ophys_experiment_959337347.nwb: 100%|██████████| 342M/342M [00:17<00:00, 19.4MMB/s]\n", + "behavior_ophys_experiment_960351917.nwb: 100%|██████████| 327M/327M [00:16<00:00, 19.8MMB/s]\n", + "behavior_ophys_experiment_960960480.nwb: 100%|██████████| 332M/332M [00:19<00:00, 17.0MMB/s]\n" ] }, { "data": { - "image/png": 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", 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", 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    " ] @@ -6737,10 +6744,10 @@ "id": "e307cb12", "metadata": { "papermill": { - "duration": 0.089934, - "end_time": "2023-09-27T22:47:08.204819", + "duration": 0.053203, + "end_time": "2023-11-06T22:13:45.352610", "exception": false, - "start_time": "2023-09-27T22:47:08.114885", + "start_time": "2023-11-06T22:13:45.299407", "status": "completed" }, "pycharm": { @@ -6756,10 +6763,10 @@ "id": "916a6eb1", "metadata": { "papermill": { - "duration": 0.07944, - "end_time": "2023-09-27T22:47:08.374330", + "duration": 0.053882, + "end_time": "2023-11-06T22:13:45.460418", "exception": false, - "start_time": "2023-09-27T22:47:08.294890", + "start_time": "2023-11-06T22:13:45.406536", "status": "completed" }, "pycharm": { @@ -6777,16 +6784,16 @@ "id": "8583aaf9", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:47:08.553971Z", - "iopub.status.busy": "2023-09-27T22:47:08.552983Z", - "iopub.status.idle": "2023-09-27T22:47:08.562017Z", - "shell.execute_reply": "2023-09-27T22:47:08.560583Z" + "iopub.execute_input": "2023-11-06T22:13:45.570735Z", + "iopub.status.busy": "2023-11-06T22:13:45.570459Z", + "iopub.status.idle": "2023-11-06T22:13:45.577065Z", + "shell.execute_reply": "2023-11-06T22:13:45.576350Z" }, "papermill": { - "duration": 0.097085, - "end_time": "2023-09-27T22:47:08.564138", + "duration": 0.063557, + "end_time": "2023-11-06T22:13:45.578413", "exception": false, - "start_time": "2023-09-27T22:47:08.467053", + "start_time": "2023-11-06T22:13:45.514856", "status": "completed" }, "pycharm": { @@ -6811,16 +6818,16 @@ "id": "78e63532", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:47:08.740359Z", - "iopub.status.busy": "2023-09-27T22:47:08.739403Z", - "iopub.status.idle": "2023-09-27T22:47:08.748753Z", - "shell.execute_reply": "2023-09-27T22:47:08.747733Z" + "iopub.execute_input": "2023-11-06T22:13:45.688263Z", + "iopub.status.busy": "2023-11-06T22:13:45.687667Z", + "iopub.status.idle": "2023-11-06T22:13:45.694012Z", + "shell.execute_reply": "2023-11-06T22:13:45.693350Z" }, "papermill": { - "duration": 0.096947, - "end_time": "2023-09-27T22:47:08.750705", + "duration": 0.062457, + "end_time": "2023-11-06T22:13:45.695407", "exception": false, - "start_time": "2023-09-27T22:47:08.653758", + "start_time": "2023-11-06T22:13:45.632950", "status": "completed" }, "pycharm": { @@ -6832,25 +6839,31 @@ { "data": { "text/plain": [ - "equipment_name MESO.1\n", - "full_genotype Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", + "behavior_session_id 1050620316\n", + "ophys_container_id [1046576772, 1046576775, 1046576784, 104657678...\n", "mouse_id 523922\n", - "reporter_line Ai148(TIT2L-GC6f-ICL-tTA2)\n", + "indicator GCaMP6f\n", + "full_genotype Vip-IRES-Cre/wt;Ai148(TIT2L-GC6f-ICL-tTA2)/wt\n", "driver_line [Vip-IRES-Cre]\n", - "sex M\n", - "age_in_days 183.0\n", "cre_line Vip-IRES-Cre\n", - "indicator GCaMP6f\n", + "reporter_line Ai148(TIT2L-GC6f-ICL-tTA2)\n", + "sex M\n", + "age_in_days 183\n", + "imaging_plane_group_count 4\n", + "project_code VisualBehaviorMultiscope\n", + "session_type OPHYS_4_images_B\n", "session_number 4\n", - "prior_exposures_to_session_type 0.0\n", + "image_set images_B\n", + "behavior_type active_behavior\n", + "experience_level Novel 1\n", + "prior_exposures_to_session_type 0\n", "prior_exposures_to_image_set 0\n", - "prior_exposures_to_omissions 7.0\n", - "behavior_session_id 1050620316\n", + "prior_exposures_to_omissions 7\n", + "date_of_acquisition 2020-09-15 09:31:58.082000+00:00\n", + "equipment_name MESO.1\n", + "num_depths_per_area 4\n", "ophys_experiment_id [1050762966, 1050762969, 1050762972, 105076297...\n", - "ophys_container_id [1046576787, 1046576794, 1046576784, 104657677...\n", - "project_code VisualBehaviorMultiscope\n", - "date_of_acquisition 2020-09-15 08:52:00.527831+00:00\n", - "session_type OPHYS_4_images_B\n", + "num_targeted_structures 2\n", "Name: 1050597678, dtype: object" ] }, @@ -6869,10 +6882,10 @@ "id": "ef194001", "metadata": { "papermill": { - "duration": 0.086486, - "end_time": "2023-09-27T22:47:08.921274", + "duration": 0.053526, + "end_time": "2023-11-06T22:13:45.802691", "exception": false, - "start_time": "2023-09-27T22:47:08.834788", + "start_time": "2023-11-06T22:13:45.749165", "status": "completed" }, "pycharm": { @@ -6890,16 +6903,16 @@ "id": "d035286a", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:47:09.097400Z", - "iopub.status.busy": "2023-09-27T22:47:09.096367Z", - "iopub.status.idle": "2023-09-27T22:47:09.103096Z", - "shell.execute_reply": "2023-09-27T22:47:09.101827Z" + "iopub.execute_input": "2023-11-06T22:13:45.911611Z", + "iopub.status.busy": "2023-11-06T22:13:45.911127Z", + "iopub.status.idle": "2023-11-06T22:13:45.915344Z", + "shell.execute_reply": "2023-11-06T22:13:45.914615Z" }, "papermill": { - "duration": 0.101636, - "end_time": "2023-09-27T22:47:09.105304", + "duration": 0.060065, + "end_time": "2023-11-06T22:13:45.916765", "exception": false, - "start_time": "2023-09-27T22:47:09.003668", + "start_time": "2023-11-06T22:13:45.856700", "status": "completed" }, "pycharm": { @@ -6928,16 +6941,16 @@ "id": "0bf45dda", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:47:09.277702Z", - "iopub.status.busy": "2023-09-27T22:47:09.276678Z", - "iopub.status.idle": "2023-09-27T22:49:18.000208Z", - "shell.execute_reply": "2023-09-27T22:49:17.999215Z" + "iopub.execute_input": "2023-11-06T22:13:46.027181Z", + "iopub.status.busy": "2023-11-06T22:13:46.026640Z", + "iopub.status.idle": "2023-11-06T22:15:36.075662Z", + "shell.execute_reply": "2023-11-06T22:15:36.074891Z" }, "papermill": { - "duration": 128.810927, - "end_time": "2023-09-27T22:49:18.002513", + "duration": 110.105763, + "end_time": "2023-11-06T22:15:36.077010", "exception": false, - "start_time": "2023-09-27T22:47:09.191586", + "start_time": "2023-11-06T22:13:45.971247", "status": "completed" }, "pycharm": { @@ -6950,42 +6963,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "behavior_ophys_experiment_1050762966.nwb: 100%|██████████| 254M/254M [00:16<00:00, 15.4MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762969.nwb: 100%|██████████| 253M/253M [00:16<00:00, 15.4MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762972.nwb: 100%|██████████| 244M/244M [00:16<00:00, 15.0MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762974.nwb: 100%|██████████| 248M/248M [00:15<00:00, 16.2MMB/s]\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'hdmf-common' version 1.3.0 because version 1.8.0 is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n", - "behavior_ophys_experiment_1050762975.nwb: 100%|██████████| 253M/253M [00:15<00:00, 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version %s is already loaded.\"\n", - "/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/hdmf/spec/namespace.py:531: UserWarning: Ignoring cached namespace 'core' version 2.2.5 because version 2.6.0-alpha is already loaded.\n", - " warn(\"Ignoring cached namespace '%s' version %s because version %s is already loaded.\"\n" + "behavior_ophys_experiment_1050762966.nwb: 100%|██████████| 248M/248M [00:13<00:00, 18.2MMB/s]\n", + "behavior_ophys_experiment_1050762969.nwb: 100%|██████████| 258M/258M [00:13<00:00, 19.8MMB/s]\n", + "behavior_ophys_experiment_1050762972.nwb: 100%|██████████| 251M/251M [00:14<00:00, 17.6MMB/s]\n", + "behavior_ophys_experiment_1050762974.nwb: 100%|██████████| 251M/251M [00:13<00:00, 18.6MMB/s]\n", + "behavior_ophys_experiment_1050762975.nwb: 100%|██████████| 259M/259M [00:14<00:00, 18.5MMB/s]\n", + "behavior_ophys_experiment_1050762977.nwb: 100%|██████████| 250M/250M [00:13<00:00, 18.5MMB/s]\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 55, @@ -6994,7 +6983,7 @@ }, { "data": { - "image/png": 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", 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VKxgwYIC1n7rs7GxJXS1NzcLDw5Gfn19mvcXq169v1yfchQsXcOrUKdSuXVvysHxmcv3lleXKlSuSPqYsLE3srly5IpnetGlTyWuFQoEmTZpI+t8DgAYNGtj9byMjI5GTk2N9rVQqMXLkSKxbt87ax9eyZcsQGBiIZ555xlruvffeQ25uLpo1a4a2bdti8uTJOH78uEvvc8qUKQgNDUWXLl3QtGlTjBs3Dn///bd1fnZ2NnJzc/HNN9/Yfb5jxowBYPt8y1oXAHz00Uc4efIkYmJi0KVLFyQkJODSpUul1vHKlSuIjo5GWFiYZLqj/0XDhg3t1lHyM3ZVdnY2ioqK7P7PAGS/J54QFBQk2+egRqOxzi/Na6+9BqVSaW2G6al19u3bF1988QV27dqF+++/H82bN8fGjRut/S2GhobKrmvNmjXQaDR2TTzF9RgxYoRkumVk4z179ri8zr///hsDBgzAzJkzMXHiRAwePBgff/wxpk+fjk8++QSnT58u9b0TERF5GgNtRERExTp27IgWLVpgxYoVAOz71qqoq1evIioqSvJwdKEp9uijj6Jnz54YMWIEtmzZgqCgIIwcORImk6nCdQoODsYjjzyC+fPnY/r06cjJybH2O9a5c2dJXefOnQsAaNGiBfLy8hwOGiBH7sLfZDKhbdu22LJli+xD3NG7tzkKtAolOvUfNWoUCgoKsG7dOgiCgOXLl2PAgAGIiIiwlnn00Udx8eJFLF68GG3atMG3336L+++/H99++63T9WnZsiXOnTuHlStX4uGHH8aaNWvw8MMPY8aMGQBg/W4899xzDj/fbt26ObUuABg6dCguXbqEL774AtHR0ZgzZw5at25t/a64g7OfcXUTFRWFrKwsu/dx7do1AOZBFUoTFBSEWrVqSfo088Q6AeDVV1/F9evXsWfPHhw6dAhnz561fnctAfCSli1bhoiICAwYMMBunqUeJQcusAy64iiIWto6v/76a9StWxedOnWSTB80aBAEQXBqn0pERORJDLQRERGJjBw5EidPnsTx48exfPlyNG3aFJ07d3Zq2ZSUFLsL3/PnzwMwj0par149u2DHfffd51L9QkNDMWPGDCQnJ9sN3FBRlgtXy8X6smXLJHUdNWoUAGDgwIEAgB9//LFC24uLi8Pt27fxz3/+UzYLrzwZR7GxsTh37pzd9LNnz1rni5UcSVEQBKSkpNiNnumsNm3aoEOHDli2bBmSkpKQlpYmO2hEzZo1MWbMGKxYsQJXr15Fu3bt7EbKLEtISAiGDRuGxMREpKWloX///tbBH2rXro2wsDAYjUbZz7Znz56SEWZLW5dFVFQUxo4di3Xr1iE1NRW1atWSjC5bUmxsLDIzM+2yHx39Lzyhdu3aCAoKkh0xU+574gnt27eHWq22GzjCMthE+/btS10+Pz8fN2/eRO3atT26TouQkBA89NBD6NixI3x8fLB161YEBQVZA7Ni165dw/bt2zFkyBAEBATYze/YsSMA8+i3YpmZmQAgu/2y1nn9+nXZkUv1ej0AwGAwyL1lIiKiSsNAGxERkYgle+2dd95BcnKyS9lsmZmZkpEMVSoVli5divbt26NevXoIDAy0C3bIjRzqTB0bNGiADz/80OVlAWDbtm2y03///XcAtiZ13bp1k9T13nvvBQA8/fTTaNu2LWbOnIm9e/farSc/Px/Tpk0rsx5Dhw5FRkYGFi1aZDevqKgIhYWFTr8ni379+uHAgQOSehUWFuKbb75Bo0aN0KpVK0n5pUuXSgJBP//8M65du4a+ffu6vG2L559/Hps3b8a8efNQq1Ytu3WVHEUzNDQUTZo0kW0K6EjJdfj7+6NVq1YQBAF6vR4+Pj4YMmQI1qxZg5MnT9otn52d7fS6jEYj8vLyJGXq1KmD6OjoUuvcr18/GI1GzJ8/XzL9008/hUKhqNBn7CwfHx88/vjjWLduHdLS0qzTz5w5g02bNtmVv3nzJs6ePWtt+usOTzzxBPz8/LBw4ULrNEEQ8NVXX6F+/fro2rUrAHOzT7km2f/73/8gCAL69Onj0XXK2bNnD3755RfEx8dLsjItVq5cCZPJ5HA/+cQTTyAgIACJiYmSDFxL9mavXr1cXmezZs1w/fp17NixQzLdkoncoUOHUt8TERGRp/l6uwJERERVSePGjdG1a1f8+uuvAOBSoK1Zs2aIj4/HwYMHUbduXSxevBjXr19HYmKiW+vo5+eHiRMnYvLkyfjzzz8lF8sZGRmymWahoaEYPHgwAPPFb+PGjTFw4EDExcWhsLAQW7duxYYNG9C5c2drxlpp2//ll1/Qs2dPPProoxg6dCi6desGPz8/nDp1CsuXL0dkZGSp2U6AOSD1008/4d///je2b9+Obt26wWg04uzZs/jpp5+wadMma5ZdQkIC3n33XWzfvh09evRwuM4333wTK1asQN++fTFhwgTUrFkT33//PVJTU7FmzRooldJ7jDVr1sTDDz+MMWPG4Pr165g3bx6aNGmCf/3rX6XWvTTPPvss/vvf/2Lt2rV45ZVX4OfnJ5nfqlUr9OjRAx07dkTNmjVx6NAh/Pzzz3j11Ved3kbv3r1Rr149dOvWDXXr1sWZM2cwf/589O/f39on2uzZs7F9+3Y88MAD+Ne//oVWrVrh9u3bOHLkCLZu3WptNljWunJzc9GgQQM8/fTTuO+++xAaGoqtW7fi4MGD+Pjjjx3WceDAgXjssccwbdo0XL58Gffddx82b96MX3/9FZMmTUJcXFw5Pl3Xvfvuu/jzzz/xyCOPYOzYsTAYDPjiiy/QunVru77x5s+f79T3DACOHz+O9evXAzBns+bl5eH9998HANx3333W31GDBg0wadIkzJkzB3q9Hp07d8a6deuQlJSEZcuWWZvMZmVloUOHDhgxYgRatGgBANi0aRN+//139OnTB0888YR1255Y55UrVzB06FAMGjQI9erVw6lTp/DVV1+hXbt2+OCDD2Q/g2XLliE6OtrhZ1WvXj1MmzYN77zzDvr06YPBgwfj2LFjWLRoEUaMGCGbLVzWOl999VUkJiZi4MCBGD9+PGJjY7Fz506sWLECvXr1wgMPPCC7HBERUaXxwgAMREREVdqCBQsEALKjVwqC41FH+/fvL2zatElo166dEBAQILRo0UJYvXq1U9ssbdTR7Oxsu/J5eXlCRESE0L17d0kdIDNKKQDJiIgrVqwQhg8fLsTFxQlBQUFCYGCg0KpVK2HatGl2I0SWJicnR3jnnXeEtm3bCsHBwUJgYKDQpk0bYerUqZJRVrt37y60bt1adh06nU748MMPhdatWwsBAQFCZGSk0LFjR+Hdd98V8vLyrOXeeOMNQaFQCGfOnCmzXhcvXhSefvppoUaNGkJgYKDQpUsX4bfffpOUsYw6umLFCmHq1KlCnTp1hKCgIKF///7ClStXJGUd1b/kKJtilhEt9+zZYzfv/fffF7p06SLUqFFDCAoKElq0aCHMnDlT0Ol0Zb43i6+//lp49NFHhVq1agkBAQFCXFycMHnyZMlnJgiCcP36dWHcuHFCTEyM4OfnJ9SrV0/45z//KXzzzTdOr0ur1QqTJ08W7rvvPiEsLEwICQkR7rvvPmHhwoVlfh75+fnCa6+9JkRHRwt+fn5C06ZNhTlz5tiN4ApAGDdunN37jI2NFV544QWnPxfLuiyjjlrs3LlT6Nixo+Dv7y/ce++9wldffWX9fYlZpm3fvr3M7Vh+s3KPknU2Go3CBx98IMTGxgr+/v5C69athR9//FFSJicnR3juueeEJk2aCMHBwUJAQIDQunVr4YMPPpD9brh7nbdv3xaeeOIJoV69eoK/v7/QuHFjYcqUKQ73CWfPnhUACK+//nqpn5PJZBK++OILoVmzZoKfn58QExMjTJ8+XfY9ObvOs2fPCk8//bT1ex0bGyv85z//EQoLC0tdjoiIqDIoBKGa9zBLRERUBTRq1Aht2rTBb7/95u2q3JG6dOmC2NhYrF692i3r27FjBx577DGsXr0aTz/9tFvWKfbkk0/ixIkTSElJcfu6iYiIiKjqYtNRIiIiqtJUKhWOHTuG77//3ttVccq1a9ewceNGp/qpIyIiIqI7CwNtREREVKWFh4e7NFCAt6SmpuLvv//Gt99+Cz8/P/zf//2fy+vQ6XTWvtMciYiIQFBQUHmrWS0ZjUbJAA5yQkNDERoaWkk1IiIiIpLHQBsRERGRG+zcuRNjxoxBw4YN8f3336NevXour2PPnj147LHHSi2TmJiI0aNHl7OW1dPVq1fRuHHjUsvMmDEDCQkJlVMhIiIiIgfYRxsRERFRFZGTk4PDhw+XWqZ169aIioqqpBpVDRqNBrt37y61zL333ot77723kmpEREREJI+BNiIiIiIiIiIiIjdQersCREREREREREREd4I7vo82k8mEzMxMhIWFQaFQeLs6RERERERERETkJYIgID8/H9HR0VAq3Z9/dscH2jIzMxETE+PtahARERERERERURVx9epVNGjQwO3rveMDbWFhYQDMH2B4eLiXa0NERERERERERN6iUqkQExNjjRe52x0faLM0Fw0PD2egjYiIiIiIiIiIPNa9GAdDICIiIiIiIiIicgMG2oiIiIiIiIiIiNyAgTYiIiIiIiIiIiI3uOP7aCMiIiIiIiIicoUgCDAYDDAajd6uCpWDn58ffHx8vLJtBtqIiIiIiIiIiIrpdDpcu3YNarXa21WhclIoFGjQoAFCQ0MrfdsMtBERERERERERATCZTEhNTYWPjw+io6Ph7+/vsdEpyTMEQUB2djbS09PRtGnTSs9sY6CNiIiIiIiIiAjmbDaTyYSYmBgEBwd7uzpUTrVr18bly5eh1+srPdDGwRCIiIiIiIiIiESUSoZLqjNvZiHym0NEREREREREROQGDLQRERERERERERG5AQNtREREREREREREbsBAGxERERERERFRNTVw4ED06dNHdl5SUhIUCgWOHz8OhUKB5ORk67y1a9fiwQcfREREBMLCwtC6dWtMmjTJbfU6deoUhgwZgkaNGkGhUGDevHmy5TIyMvDcc8+hVq1aCAoKQtu2bXHo0CHrfEEQ8M477yAqKgpBQUHo2bMnLly44LZ6uptXA227du3CwIEDER0dDYVCgXXr1knmV7cPk4iIiIiIiIioMsXHx2PLli1IT0+3m5eYmIhOnTohPDxcMn3btm0YNmwYhgwZggMHDuDw4cOYOXMm9Hq92+qlVqtx7733Yvbs2ahXr55smZycHHTr1g1+fn74448/cPr0aXz88ceIjIy0lvnoo4/w+eef46uvvsL+/fsREhKCxx9/HBqNxm11dSevBtoKCwtx3333YcGCBbLzq9uHSURERERERER3DkEQoNYZvPIQBMGpOg4YMAC1a9fGkiVLJNMLCgqwevVqxMfH2y2zYcMGdOvWDZMnT0bz5s3RrFkzDB48WBKfSUhIQPv27fH1118jJiYGwcHBGDp0KPLy8pyqV+fOnTFnzhwMHz4cAQEBsmU+/PBDxMTEIDExEV26dEHjxo3Ru3dvxMXFWT//efPmYfr06XjiiSfQrl07LF26FJmZmXbJWlWFrzc33rdvX/Tt21d2XskPEwCWLl2KunXrYt26dRg+fHhlVpWIiIiIiIiI7jJFeiNavbPJK9s+/d7jCPYvO2zj6+uLUaNGYcmSJZg2bRoUCgUAYPXq1TAajRgxYgRycnIky9SrVw/Lly/HyZMn0aZNG4frTklJwU8//YQNGzZApVIhPj4eY8eOxbJlyyr25oqtX78ejz/+OJ555hns3LkT9evXx9ixY/Gvf/0LAJCamoqsrCz07NnTukxERAQeeOAB7N27t0rGhqpsH21lfZiOaLVaqFQqyYOIiIiIiIiI6E714osv4uLFi9i5c6d1WmJiIoYMGYKIiAi78uPHj0fnzp3Rtm1bNGrUCMOHD8fixYuh1Wol5TQaDZYuXYr27dvj0UcfxRdffIGVK1ciKyvLLfW+dOkSvvzySzRt2hSbNm3CK6+8ggkTJuD7778HAOt26tatK1mubt26bquDu3k1o6005f0wZ82ahXfffdejdSMiIiIiIiKiO1+Qnw9Ov/e417btrBYtWqBr165YvHgxevTogZSUFCQlJeG9996TLR8SEoKNGzfi4sWL2L59O/bt24c33ngDn332Gfbu3Yvg4GAAQMOGDVG/fn3rcg899BBMJhPOnTvnsN81V5hMJnTq1AkffPABAKBDhw44efIkvvrqK7zwwgsVXr83VNmMtvKaOnUq8vLyrI+rV696u0pEREREREREVA0pFAoE+/t65WFpAuqs+Ph4rFmzBvn5+UhMTERcXBy6d+9e6jJxcXF46aWX8O233+LIkSM4ffo0Vq1aVZGPzCVRUVFo1aqVZFrLli2RlpYGANZg3vXr1yVlrl+/7pZAnydU2UBbeT/MgIAAhIeHSx5ERERERERERHeyoUOHQqlUYvny5Vi6dClefPFFl4J1jRo1QnBwMAoLC63T0tLSkJmZaX29b98+KJVKNG/e3C117tatG86dOyeZdv78ecTGxgIAGjdujHr16mHbtm3W+SqVCvv378dDDz3kljq4W5VtOir+MNu3bw/A9mG+8sor3q0cEREREREREVEVEhoaimHDhmHq1KlQqVQYPXq0w7IJCQlQq9Xo168fYmNjkZubi88//xx6vR69evWylgsMDMQLL7yAuXPnQqVSYcKECRg6dKhT2WQ6nQ6nT5+2Ps/IyEBycjJCQ0PRpEkTAMBrr72Grl274oMPPsDQoUNx4MABfPPNN/jmm28AmDMKJ02ahPfffx9NmzZF48aN8fbbbyM6OhqDBw8u/4flQV4NtBUUFCAlJcX6OjU1FcnJyahZsyYaNmxY7T5MIiIiIiIiIiJviY+Px3fffYd+/fohOjraYbnu3btjwYIFGDVqFK5fv47IyEh06NABmzdvlmSrNWnSBE899RT69euH27dvY8CAAVi4cKFTdcnMzESHDh2sr+fOnYu5c+eie/fu2LFjBwCgc+fOWLt2LaZOnYr33nsPjRs3xrx58zBy5Ejrcv/9739RWFiIl19+Gbm5uXj44Yfx559/IjAw0MVPp3IoBEEQvLXxHTt24LHHHrOb/sILL2DJkiUQBAEzZszAN998Y/0wFy5ciGbNmjm9DZVKhYiICOTl5bEZKRERERERERE5pNFokJqaisaNG1fZQE5lSUhIwLp165CcnOztqristP+jp+NEXs1o69GjB0qL8ykUCrz33nsOR8kgIiIiIiIiIiKqKqrsYAhERERERERERFQ1hYaGOnwkJSV5u3peU2UHQyAiIiIiIiIiIu9ISEhAQkKCw/mlNSmtX7+++ytUTTDQRkRERERERERELrGMHEpSbDpKRERERERERETkBgy0ERERERERERERuQEDbURERERERERERG7AQBsREREREREREZEbMNBGRERERERERETkBgy0ERERERERERERuQEDbURERERERERE1dTAgQPRp08f2XlJSUlQKBQ4fvw4FAoFkpOTrfPWrl2LBx98EBEREQgLC0Pr1q0xadIkt9Zt3rx5aN68OYKCghATE4PXXnsNGo3GOr9Ro0ZQKBR2j3Hjxrm1HpXJ19sVICIiIiIiIiKi8omPj8eQIUOQnp6OBg0aSOYlJiaiU6dOCA8Pl0zftm0bhg0bhpkzZ2LQoEFQKBQ4ffo0tmzZ4rZ6LV++HG+++SYWL16Mrl274vz58xg9ejQUCgU++eQTAMDBgwdhNBqty5w8eRK9evXCM88847Z6VDYG2oiIiIiIiIiI5AgCoFd7Z9t+wYBCUWaxAQMGoHbt2liyZAmmT59unV5QUIDVq1djzpw5dsts2LAB3bp1w+TJk63TmjVrhsGDB1tfJyQkYN26dXjllVfw/vvv49atWxgwYAAWLVqEiIiIMuu1Z88edOvWDc8++ywAc/baiBEjsH//fmuZ2rVrS5aZPXs24uLi0L179zLXX1Ux0EZEREREREREJEevBj6I9s6238oE/EPKLObr64tRo0ZhyZIlmDZtGhTFwbnVq1fDaDRixIgRyMnJkSxTr149LF++HCdPnkSbNm0crjslJQU//fQTNmzYAJVKhfj4eIwdOxbLli0rs15du3bFjz/+iAMHDqBLly64dOkSfv/9dzz//POy5XU6HX788Ue8/vrr1vdQHbGPNiIiIiIiIiKiauzFF1/ExYsXsXPnTuu0xMREDBkyRDb7bPz48ejcuTPatm2LRo0aYfjw4Vi8eDG0Wq2knEajwdKlS9G+fXs8+uij+OKLL7By5UpkZWWVWadnn30W7733Hh5++GH4+fkhLi4OPXr0wFtvvSVbft26dcjNzcXo0aNde/NVDDPaiIiIiIiIiIjk+AWbM8u8tW0ntWjRAl27dsXixYvRo0cPpKSkICkpCe+9955s+ZCQEGzcuBEXL17E9u3bsW/fPrzxxhv47LPPsHfvXgQHm7fdsGFD1K9f37rcQw89BJPJhHPnzqFevXql1mnHjh344IMPsHDhQjzwwANISUnBxIkT8b///Q9vv/22XfnvvvsOffv2RXS0lzII3YSBNiIiIiIiIiIiOQqFU803q4L4+HiMHz8eCxYsQGJiolN9ncXFxSEuLg4vvfQSpk2bhmbNmmHVqlUYM2ZMhevz9ttv4/nnn8dLL70EAGjbti0KCwvx8ssvY9q0aVAqbY0sr1y5gq1bt+KXX36p8Ha9jU1HiYiIiIiIiIiquaFDh0KpVGL58uVYunQpXnzxRZf6OmvUqBGCg4NRWFhonZaWlobMTFtG3759+6BUKtG8efMy16dWqyXBNADw8fEBAAiCIJmemJiIOnXqoH///k7Xt6piRhsRERERERERUTUXGhqKYcOGYerUqVCpVKX2dZaQkAC1Wo1+/fohNjYWubm5+Pzzz6HX69GrVy9rucDAQLzwwguYO3cuVCoVJkyYgKFDh5bZbBQABg4ciE8++QQdOnSwNh19++23MXDgQGvADQBMJhMSExPxwgsvwNe3+oepqv87ICIiIiIiIiIixMfH47vvvkO/fv1K7euse/fuWLBgAUaNGoXr168jMjISHTp0wObNmyXZak2aNMFTTz2Ffv364fbt2xgwYAAWLlzoVF2mT58OhUKB6dOnIyMjA7Vr18bAgQMxc+ZMSbmtW7ciLS0NL774YvnedBWjEErm691hVCoVIiIikJeXh/DwcG9Xh4iIiIiIiIiqKI1Gg9TUVDRu3BiBgYHero5XJSQkYN26dUhOTvZ2VVxW2v/R03Ei9tFGRERERERERETkBgy0ERERERERERGRS0JDQx0+kpKSvF09r2EfbUREREREREREJJGQkICEhASH80trUlq/fn33V6iaYKCNiIiIiIiIiIhc0qRJE29XoUpi01EiIiIiIiIiIiI3YKCNiIiIiIiIiIjIDRhoIyIiIiIiIiIicgMG2oiIiIiIiIiIiNyAgTYiIiIiIiIiIiI3YKCNiIiIiIiIiIgkEhIS0L59e29Xo9phoI2IiIiIiIiIqJoaOHAg+vTpIzsvKSkJCoUCx48fh0KhQHJysnXe2rVr8eCDDyIiIgJhYWFo3bo1Jk2aVK46nDp1CkOGDEGjRo2gUCgwb968UsvPnj0bCoVCsr3bt29j/PjxaN68OYKCgtCwYUNMmDABeXl55aqTtzDQRkRERERERERUTcXHx2PLli1IT0+3m5eYmIhOnTohPDxcMn3btm0YNmwYhgwZggMHDuDw4cOYOXMm9Hp9ueqgVqtx7733Yvbs2ahXr16pZQ8ePIivv/4a7dq1k0zPzMxEZmYm5s6di5MnT2LJkiX4888/ER8fX646eYuvtytARERERERERETlM2DAANSuXRtLlizB9OnTrdMLCgqwevVqzJkzx26ZDRs2oFu3bpg8ebJ1WrNmzTB48OBy1aFz587o3LkzAODNN990WK6goAAjR47EokWL8P7770vmtWnTBmvWrLG+jouLw8yZM/Hcc8/BYDDA17d6hLCY0UZEREREREREJEMQBKj1aq88BEFwqo6+vr4YNWoUlixZIllm9erVMBqNGDFihN0y9erVw6lTp3Dy5Em3fVbOGDduHPr374+ePXs6VT4vLw/h4eHVJsgGMKONiIiIiIiIiEhWkaEIDyx/wCvb3v/sfgT7BTtV9sUXX8ScOXOwc+dO9OjRA4C52eiQIUMQERGBnJwcSfnx48cjKSkJbdu2RWxsLB588EH07t0bI0eOREBAgLvfCgBg5cqVOHLkCA4ePOhU+Zs3b+J///sfXn75ZY/Ux1OY0UZEREREREREVI21aNECXbt2xeLFiwEAKSkpSEpKcti/WUhICDZu3IiUlBRMnz4doaGheOONN9ClSxeo1Wq31+/q1auYOHEili1bhsDAwDLLq1Qq9O/fH61atUJCQoLb6+NJzGgjIiIiIiIiIpIR5BuE/c/u99q2XREfH4/x48djwYIFSExMRFxcHLp3717qMnFxcYiLi8NLL72EadOmoVmzZli1ahXGjBlTkarbOXz4MG7cuIH777/fOs1oNGLXrl2YP38+tFotfHx8AAD5+fno06cPwsLCsHbtWvj5+bm1Lp7GQBsRERERERERkQyFQuF0801vGzp0KCZOnIjly5dj6dKleOWVV6BQKJxevlGjRggODkZhYaHb6/bPf/4TJ06ckEwbM2YMWrRogSlTpliDbCqVCo8//jgCAgKwfv16p7LfqpoqHWgzGo1ISEjAjz/+iKysLERHR2P06NGYPn26S18WIiIiIiIiIqI7WWhoKIYNG4apU6dCpVJh9OjRDssmJCRArVajX79+iI2NRW5uLj7//HPo9Xr06tXL5W3rdDqcPn3a+jwjIwPJyckIDQ1FkyZNEBYWhjZt2kiWCQkJQa1atazTVSoVevfuDbVajR9//BEqlQoqlQoAULt2bWswrqqr0oG2Dz/8EF9++SW+//57tG7dGocOHcKYMWMQERGBCRMmeLt6RERERERERERVRnx8PL777jv069cP0dHRDst1794dCxYswKhRo3D9+nVERkaiQ4cO2Lx5M5o3b+7ydjMzM9GhQwfr67lz52Lu3Lno3r07duzY4dQ6jhw5gv37zc10mzRpIpmXmpqKRo0auVwvb1AIzo4X6wUDBgxA3bp18d1331mnDRkyBEFBQfjxxx9ll9FqtdBqtdbXKpUKMTEx1iFhiYiIiIiIiIjkaDQapKamonHjxtWy2SKZlfZ/VKlUiIiI8FicqEqPOtq1a1ds27YN58+fBwAcO3YMu3fvRt++fR0uM2vWLERERFgfMTExlVVdIiIiIiIiIiK6i1XppqNvvvkmVCoVWrRoAR8fHxiNRsycORMjR450uMzUqVPx+uuvW19bMtqIiIiIiIiIiMh1oaGhDuf98ccfeOSRRyqxNlVblQ60/fTTT1i2bBmWL1+O1q1bIzk5GZMmTUJ0dDReeOEF2WUCAgIQEBBQyTUlIiIiIiIiIrozJScnO5xXv379yqtINVClA22TJ0/Gm2++ieHDhwMA2rZtiytXrmDWrFkOA21EREREREREROQ+JQcnIMeqdB9tarUaSqW0ij4+PjCZTF6qERERERERERERkbwqndE2cOBAzJw5Ew0bNkTr1q1x9OhRfPLJJ3jxxRe9XTUiIiIiIiIiIiKJKh1o++KLL/D2229j7NixuHHjBqKjo/F///d/eOedd7xdNSIiIiIiIiIiIokqHWgLCwvDvHnzMG/ePG9XhYiIiIiIiIiIqFRVuo82IiIiIiIiIiKi6oKBNiIiIiIiIiIikkhISED79u29XY1qh4E2IiIiIiIiIqJqauDAgejTp4/svKSkJCgUChw/fhwKhQLJycnWeWvXrsWDDz6IiIgIhIWFoXXr1pg0aVK56rBo0SI88sgjiIyMRGRkJHr27IkDBw5Iyvzyyy/o3bs3atWqZVcXALh8+TIUCoXsY/Xq1eWqlzcw0EZEREREREREVE3Fx8djy5YtSE9Pt5uXmJiITp06ITw8XDJ927ZtGDZsGIYMGYIDBw7g8OHDmDlzJvR6fbnqsGPHDowYMQLbt2/H3r17ERMTg969eyMjI8NaprCwEA8//DA+/PBD2XXExMTg2rVrkse7776L0NBQ9O3bt1z18oYqPRgCERERERERERE5NmDAANSuXRtLlizB9OnTrdMLCgqwevVqzJkzx26ZDRs2oFu3bpg8ebJ1WrNmzTB48OBy1WHZsmWS199++y3WrFmDbdu2YdSoUQCA559/HoA5c02Oj48P6tWrJ5m2du1aDB06FKGhoeWqlzcwo42IiIiIiIiISIYgCDCp1V55CILgVB19fX0xatQoLFmyRLLM6tWrYTQaMWLECLtl6tWrh1OnTuHkyZNu+6zE1Go19Ho9atasWe51HD58GMnJyYiPj3djzTyPGW1ERERERERERDKEoiKcu7+jV7bd/MhhKIKDnSr74osvYs6cOdi5cyd69OgBwNxsdMiQIYiIiEBOTo6k/Pjx45GUlIS2bdsiNjYWDz74IHr37o2RI0ciICCgwnWfMmUKoqOj0bNnz3Kv47vvvkPLli3RtWvXCtenMjGjjYiIiIiIiIioGmvRogW6du2KxYsXAwBSUlKQlJTkMBssJCQEGzduREpKCqZPn47Q0FC88cYb6NKlC9RqdYXqMnv2bKxcuRJr165FYGBgudZRVFSE5cuXV7tsNoAZbUREREREREREshRBQWh+5LDXtu2K+Ph4jB8/HgsWLEBiYiLi4uLQvXv3UpeJi4tDXFwcXnrpJUybNg3NmjXDqlWrMGbMmHLVee7cuZg9eza2bt2Kdu3alWsdAPDzzz9DrVZb+3erThhoIyIiIiIiIiKSoVAonG6+6W1Dhw7FxIkTsXz5cixduhSvvPIKFAqF08s3atQIwcHBKCwsLNf2P/roI8ycORObNm1Cp06dyrUOi++++w6DBg1C7dq1K7Qeb2CgjYiIiIiIiIiomgsNDcWwYcMwdepUqFQqjB492mHZhIQEqNVq9OvXD7GxscjNzcXnn38OvV6PXr16ubztDz/8EO+88w6WL1+ORo0aISsry1ony4iht2/fRlpaGjIzMwEA586dA2AemEE82mhKSgp27dqF33//3eV6VAXso42IiIiIiIiI6A4QHx+PnJwcPP7444iOjnZYrnv37rh06RJGjRqFFi1aoG/fvsjKysLmzZvRvHlzl7f75ZdfQqfT4emnn0ZUVJT1MXfuXGuZ9evXo0OHDujfvz8AYPjw4ejQoQO++uoryboWL16MBg0aoHfv3i7XoypQCM6OF1tNqVQqREREIC8vD+Hh4d6uDhERERERERFVURqNBqmpqWjcuHG5O/In7yvt/+jpOBEz2oiIiIiIiIiIiNyAgTYiIiIiIiIiInLI0tea3CMpKcnb1atSOBgCERERERERERE5lJyc7HBe/fr1K68i1QADbURERERERERE5FCTJk28XYVqg01HiYiIiIiIiIiI3ICBNiIiIiIiIiIiIjdgoI2IiIiIiIiIiMgNGGgjIiIiIiIiIiJyAwbaiIiIiIiIiIiI3ICBNiIiIiIiIiIikkhISED79u29XY1qh4E2IiIiIiIiIqJqauDAgejTp4/svKSkJCgUChw/fhwKhQLJycnWeWvXrsWDDz6IiIgIhIWFoXXr1pg0aVK565Gbm4tx48YhKioKAQEBaNasGX7//Xfr/Pz8fEyaNAmxsbEICgpC165dcfDgwXJvr6ry9XYFiIiIiIiIiIiofOLj4zFkyBCkp6ejQYMGknmJiYno1KkTwsPDJdO3bduGYcOGYebMmRg0aBAUCgVOnz6NLVu2lKsOOp0OvXr1Qp06dfDzzz+jfv36uHLlCmrUqGEt89JLL+HkyZP44YcfEB0djR9//BE9e/bE6dOnUb9+/XJttypioI2IiIiIiIiIqJoaMGAAateujSVLlmD69OnW6QUFBVi9ejXmzJljt8yGDRvQrVs3TJ482TqtWbNmGDx4cLnqsHjxYty+fRt79uyBn58fAKBRo0bW+UVFRVizZg1+/fVXPProowDMTVM3bNiAL7/8Eu+//365tlsVsekoEREREREREZEMQRCg1xq98hAEwak6+vr6YtSoUViyZIlkmdWrV8NoNGLEiBF2y9SrVw+nTp3CyZMn3fI5rV+/Hg899BDGjRuHunXrok2bNvjggw9gNBoBAAaDAUajEYGBgZLlgoKCsHv3brfUoapgRhsRERERERERkQyDzoRvJu70yrZf/qw7/AJ8nCr74osvYs6cOdi5cyd69OgBwNxsdMiQIYiIiEBOTo6k/Pjx45GUlIS2bdsiNjYWDz74IHr37o2RI0ciICDA5bpeunQJf/31F0aOHInff/8dKSkpGDt2LPR6PWbMmIGwsDA89NBD+N///oeWLVuibt26WLFiBfbu3YsmTZq4vL2qjBltRERERERERETVWIsWLdC1a1csXrwYAJCSkoKkpCTEx8fLlg8JCcHGjRuRkpKC6dOnIzQ0FG+88Qa6dOkCtVrt8vZNJhPq1KmDb775Bh07dsSwYcMwbdo0fPXVV9YyP/zwAwRBQP369REQEIDPP/8cI0aMgFJ5Z4WmmNFGRERERERERCTD11+Jlz/r7rVtuyI+Ph7jx4/HggULkJiYiLi4OHTvXnrd4+LiEBcXh5deegnTpk1Ds2bNsGrVKowZM8albUdFRcHPzw8+PrYMvJYtWyIrKws6nQ7+/v6Ii4vDzp07UVhYCJVKhaioKAwbNgz33nuvS9uq6u6ssCERERERERERkZsoFAr4Bfh45aFQKFyq69ChQ6FUKrF8+XIsXboUL774okvraNSoEYKDg1FYWOjqx4Ru3bohJSUFJpPJOu38+fOIioqCv7+/pGxISAiioqKQk5ODTZs24YknnnB5e1UZM9qIiIiIiIiIiKq50NBQDBs2DFOnToVKpcLo0aMdlk1ISIBarUa/fv0QGxuL3NxcfP7559Dr9ejVq5fL237llVcwf/58TJw4EePHj8eFCxfwwQcfYMKECdYymzZtgiAIaN68OVJSUjB58mS0aNHC5ey5qo4ZbUREREREREREd4D4+Hjk5OTg8ccfR3R0tMNy3bt3x6VLlzBq1Ci0aNECffv2RVZWFjZv3ozmzZu7vN2YmBhs2rQJBw8eRLt27TBhwgRMnDgRb775prVMXl4exo0bhxYtWmDUqFF4+OGHsWnTJvj5+ZXrvVZVCsHZ8WKrKZVKhYiICOTl5SE8PNzb1SEiIiIiIiKiKkqj0SA1NRWNGzdGYGCgt6tD5VTa/9HTcSJmtBEREREREREREbkBA21ERERERERERORQaGiow0dSUpK3q1elcDAEIiIiIiIiIiJyKDk52eG8+vXrV15FqoEqH2jLyMjAlClT8Mcff0CtVqNJkyZITExEp06dvF01IiIiIiIiIqI7XpMmTbxdhWqjSgfacnJy0K1bNzz22GP4448/ULt2bVy4cAGRkZHerhoREREREREREZFElQ60ffjhh4iJiUFiYqJ1WuPGjb1YIyIiIiIiIiIiInlVejCE9evXo1OnTnjmmWdQp04ddOjQAYsWLSp1Ga1WC5VKJXkQERERERERERF5WpUOtF26dAlffvklmjZtik2bNuGVV17BhAkT8P333ztcZtasWYiIiLA+YmJiKrHGRERERERERER0t1IIgiB4uxKO+Pv7o1OnTtizZ4912oQJE3Dw4EHs3btXdhmtVgutVmt9rVKpEBMTg7y8PISHh3u8zkRERERERERUPWk0GqSmpqJx48YIDAz0dnWonEr7P6pUKkRERHgsTlSlM9qioqLQqlUrybSWLVsiLS3N4TIBAQEIDw+XPIiIiIiIiIiIyHkJCQlo3769t6tR7VTpQFu3bt1w7tw5ybTz588jNjbWSzUiIiIiIiIiIqo6Bg4ciD59+sjOS0pKgkKhwPHjx6FQKJCcnGydt3btWjz44IOIiIhAWFgYWrdujUmTJpWrDosWLcIjjzyCyMhIREZGomfPnjhw4ICkjEKhkH3MmTNHUm7jxo144IEHEBQUhMjISAwePLhcdfKWKh1oe+2117Bv3z588MEHSElJwfLly/HNN99g3Lhx3q4aEREREREREZHXxcfHY8uWLUhPT7ebl5iYiE6dOtm19tu2bRuGDRuGIUOG4MCBAzh8+DBmzpwJvV5frjrs2LEDI0aMwPbt27F3717ExMSgd+/eyMjIsJa5du2a5LF48WIoFAoMGTLEWmbNmjV4/vnnMWbMGBw7dgx///03nn322XLVyVuqdB9tAPDbb79h6tSpuHDhAho3bozXX38d//rXv5xe3tNtb4mIiIiIiIjozlAd+2gzGAxo0KABXn31VUyfPt06vaCgAFFRUZgzZw769OmDxo0b4+jRo2jfvj0mTZqEY8eOYfv27Q7Xm5CQgHXr1kmy4JxlNBoRGRmJ+fPnY9SoUbJlBg8ejPz8fGzbts36Pho1aoR3330X8fHxLm9TjH20lWLAgAE4ceIENBoNzpw541KQjYiIiIiIiIiovARBgF6j8crD2bwoX19fjBo1CkuWLJEss3r1ahiNRowYMcJumXr16uHUqVM4efKk2z4rMbVaDb1ej5o1a8rOv379OjZu3CgJqB05cgQZGRlQKpXo0KEDoqKi0LdvX4/V0VN8vV0BIiIiIiIiIqKqyKDV4vMXnvbKtid8/zP8nMyqe/HFFzFnzhzs3LkTPXr0AGBuNjpkyBBEREQgJydHUn78+PFISkpC27ZtERsbiwcffBC9e/fGyJEjERAQUOG6T5kyBdHR0ejZs6fs/O+//x5hYWF46qmnrNMuXboEwJxJ98knn6BRo0b4+OOP0aNHD5w/f95h0K6qqfIZbURERERERERE5FiLFi3QtWtXLF68GACQkpKCpKQkh00wQ0JCsHHjRqSkpGD69OkIDQ3FG2+8gS5dukCtVleoLrNnz8bKlSuxdu1ah81vFy9ejJEjR0rmm0wmAMC0adMwZMgQdOzYEYmJiVAoFFi9enWF6lSZmNFGRERERERERCTDNyAAE77/2WvbdkV8fDzGjx+PBQsWIDExEXFxcejevXupy8TFxSEuLg4vvfQSpk2bhmbNmmHVqlUYM2ZMueo8d+5czJ49G1u3bkW7du1kyyQlJeHcuXNYtWqVZHpUVBQAoFWrVtZpAQEBuPfee5GWllau+ngDA21ERERERERERDIUCoXTzTe9bejQoZg4cSKWL1+OpUuX4pVXXoFCoXB6+UaNGiE4OBiFhYXl2v5HH32EmTNnYtOmTejUqZPDct999x06duyI++67TzK9Y8eOCAgIwLlz5/Dwww8DAPR6PS5fvozY2Nhy1ckbGGgjIiIiIiIiIqrmQkNDMWzYMEydOhUqlQqjR492WDYhIQFqtRr9+vVDbGwscnNz8fnnn0Ov16NXr14ub/vDDz/EO++8g+XLl6NRo0bIysqy1ik0NNRaTqVSYfXq1fj444/t1hEeHo5///vfmDFjBmJiYhAbG4s5c+YAAJ555hmX6+Qt7KONiIiIiIiIiOgOEB8fj5ycHDz++OOIjo52WK579+64dOkSRo0ahRYtWqBv377IysrC5s2b0bx5c5e3++WXX0Kn0+Hpp59GVFSU9TF37lxJuZUrV0IQBNmRUAFgzpw5GD58OJ5//nl07twZV65cwV9//YXIyEiX6+QtCsHZ8WKrKZVKhYiICOTl5SE8PNzb1SEiIiIiIiKiKkqj0SA1NRWNGzd22JE/VX2l/R89HSdiRhsREREREREREZEbMNBGREREREREREQOWfpak3skJSV5u3pVCgdDICIiIiIiIiIih5KTkx3Oq1+/fuVVpBpgoI2IiIiIiIiIiBxq0qSJt6tQbbDpKBERERERERERkRsw0EZEREREREREJGIymbxdBaoAQRC8tm02HSUiIiIiIiIiAuDv7w+lUonMzEzUrl0b/v7+UCgU3q4WuUAQBGRnZ0OhUMDPz6/St89AGxERERERERERAKVSicaNG+PatWvIzMz0dnWonBQKBRo0aAAfH59K3zYDbURERERERERExfz9/dGwYUMYDAYYjUZvV4fKwc/PzytBNoCBNiIiIiIiIiIiCUuzQ280PaTqjYMhEBERERERERERuQEDbURERERERERERG7gUqBt1KhRyM/Pt74+duwY9Hq92ytFRERERERERERU3bgUaFu2bBmKioqsrx955BFcvXrV7ZUiIiIiIiIiIiKqblwKtAmCUOprIiIiIiIiIiKiuxX7aCMiIiIiIiIiInIDX1cXOH36NLKysgCYM9rOnj2LgoICSZl27dq5p3ZERERERERERETVhEJwof2nUqmEQqGQbTJqma5QKGA0Gt1ayYpQqVSIiIhAXl4ewsPDvV0dIiIiIiIiIiLyEk/HiVzKaEtNTXV7BYiIiIiIiIiIiO4ELgXatm3bhkGDBuGee+7xVH2IiIiIiIiIiIiqJZcGQ/jxxx/RoEEDdO3aFR9++CHOnDnjqXoRERERERERERFVKy4F2v766y9cu3YNY8eOxeHDh/HAAw+gadOmeOONN7Br1y6YTCZP1ZOIiIiIiIiIiKhKc2kwhJJ0Oh3++usvrF+/Hhs2bEBRURH69euHQYMGoW/fvggJCXFnXcuFgyEQERERERERERHg+ThRhQJtJR06dAjr16/Hr7/+iqeffhpvv/22u1Zdbgy0ERERERERERERUMUCbSaTCUqlc61N9Xo9/Pz8yl0xd2GgjYiIiIiIiIiIAM/HiVzqo83Pzw83btywvp48eTJu377tsCwREREREREREdHdwqVAW8nkt6+//hq5ubnurA8REREREREREVG15FKgrSQ3du9GRERERERERERUrVUo0EZERERERERERERmvq4u8M477yA4OBgAoNPpMHPmTEREREjKfPLJJ+6pHRERERERERERUTXhUqDt0Ucfxblz56yvu3btikuXLrm9UkRERERERERERNWNS4G2HTt2eKgazpk9ezamTp2KiRMnYt68eV6tCxERERERERERkZjTgbbXX3/dqXIKhQIff/xxuSvkyMGDB/H111+jXbt2bl83ERERERERERFRRTkdaDt69Kjk9ZEjR2AwGNC8eXMAwPnz5+Hj44OOHTu6t4YACgoKMHLkSCxatAjvv/++29dPRERERERERERUUU4H2rZv3259/sknnyAsLAzff/89IiMjAQA5OTkYM2YMHnnkEbdXcty4cejfvz969uxZZqBNq9VCq9VaX6tUKrfXh4iIiIiIiIiIqCRleRb6+OOPMWvWLGuQDQAiIyPx/vvvu73Z6MqVK3HkyBHMmjXLqfKzZs1CRESE9RETE+PW+pD75WZdw9ZvFyA365q3q0JEREREREREVG7lCrSpVCpkZ2fbTc/OzkZ+fn6FK2Vx9epVTJw4EcuWLUNgYKBTy0ydOhV5eXnWx9WrV91WH/KMnz94G8e2/IHV70/3dlWIiIiIiIiIiMrNpVFHLZ588kmMGTMGH3/8Mbp06QIA2L9/PyZPnoynnnrKbZU7fPgwbty4gfvvv986zWg0YteuXZg/fz60Wi18fHwkywQEBCAgIMBtdSDPy7ueBQBQZV/3ck2IiIiIiIiIiMqvXIG2r776Cv/5z3/w7LPPQq/Xm1fk64v4+HjMmTPHbZX75z//iRMnTkimjRkzBi1atMCUKVPsgmxERERERERERETeUq5AW3BwMBYuXIg5c+bg4sWLAIC4uDiEhIS4tXJhYWFo06aNZFpISAhq1aplN52IiIiIiIiIiMibyhVoswgJCUG7du3cVRciIiIiIiIiIqJqq0KBNm/YsWOHt6tARERERERERERkp1yjjhIREREREREREZEUA21ERERERERERERuwEAbERERERERERGRGzDQRkRERERERERE5AYMtBEREREREREREbkBA21ERERERERERERuwEAbERERERERERGRGzDQRkRERERERERE5AYMtBEREREREREREbkBA21ERERERERERERuwEAbERERERERERGRGzDQRkRERERERERE5AYMtBERERERERERkdsIJhP0WVneroZXMNBGRERERERERERukzn5v0jp8RhUmzZ7uyqVjoE28j6Fwts1ICIiIiIiIiI3UW3cCAC49fXXXq5J5WOgjbxOAQbaiIiIiIiIiO44d2FiDQNt5H133+/OLXRpabg+a/Zd2+6diKgqEgwGaM6ehWAyebsqRERERN7HQBtR5VPchT88dzjy4mgc2/AL0sdP8HZViIio2LWEBKQOfhI3F37p7aoQERERed9deL3PQBtVAXffD88d/q4VjBMxdZBx6YK3q0JERMXyfl4DALi5YIGXa0JERERUBTDQRlT57sLfnVupA/y8XQUiIipJELxdAyIiIiLvuwuv9xloI69TKPg1rBjP7rmMRhPWfnwEu39i5hwRERERERE5724c/JARDvI+prRVjNKzn1/ayVvIvJCLY39d9eh2iIiIiIiI6A5zF17vM9BGVN15eMel1xo9un4iIiIiIiK6QzHQRlT5OOpoBXn48zOZbP0MCexziIiIiIiIiJx1F17vM9BG3ncX/vDcysN93JmMtuCa0WDy6LaIiIiIiIjoDnIXXu8z0EZedxf+7txK4eE+2iSBNj0DbURERERERFQ6ja8P1P6+d+Woo77ergARRx2tIA9HKsXBNYPehACPbo2IiIiIiIiqM0EQ8FfrRgCAJ+7C3ocY4SDvuwsj3BWlvXTJ9sLjgyEYrM+Z0UZE5DxdkRqndm6DpqDA21UhIiIiqjyivr3VuPuuIRloI6qGLvbrb3vh4UCbTmMbdZR9tBEROW/LogX4c+GnWP/xTG9XhYiIiKjSiAfRE+7CvqIYaCOvY9NR10mybz2d0SYKtBmY0UZE5LSzf+8EAFw9fcLLNSEiIqI7kWASsGvleZzZc83bVZEQBNt1490YaGMfbeR9d+EPryIEQYAg/sg8/Plpi9h0lIioPBRKJQQT95tERETkGZdP3MSJHekAgJZdo7xcGxtBnBlyF17uM5WIvE7BQJtLBK0W4r2VpzMCdRpboI0ZbUREzvPx9fN2FYiIiOgOplbprM8FoeqMOiDJaPNiPbyFgTbyOgbaXGNUqaQZbUoP99HGjDaiau/GJ58ipWcvGHJyvF2Vu4qPLxsOEBERkeeIY2t6rdFxwcpmElXsLrzeZ6CNyF12zQEOJXp8MyaVCoI4/9bD+y1xoO3AhkullCSiqurWN99An56O3JUrvV2Vu4qSgTYiIiLyIIPOFlzTqg2llKxc4oy2uxEDbeR1d0RG2645wF/vA79N8vimjKp8SUabp5uOivtou3El36PbIroT5WRlIvH1V3Bq5zZvVwUKf39vV+Gu4uPj4+0qEBER0R1MU6i3Pq9agTbR8zvhet9FDLSR91WVH57JBFzaARTlAJo8YNv/gBtnnFv2r/el6/Egk1otaefu6R2Xrsh2l8THj7sMIldt+WY+bmdcxZ8LP/V2VaAMDvZ2Fe4qSvbRRkRERB509fRt63OtWl9KycrFPtqIvEwcJvp9/sdIWvE99FpN5VckeRmw9AkgsR+way6QNBdY+KDr6zFq3V83MZNRGpz0YKBNMAmSwRAEk1ClOtkkqg50RUVe3b6gt510MdBWudhHGxF5mmAyQX3kCDKnvoWcFSu8XR0iqkR6rVHS4qhqZbTd3X208QyQ3EIwCdBpjQgIKsdXSvTDO5O0HQBQmJuDPq9MclPtnHR6nfnvjdNAjYbOL1cyg82gBfyC3FatkgSjUZrRpvRcvFyvNUpuQZiMAnRFBgQE39lZGoIgQDAJUPrwXgRVnLf7qDAWFFifK4I8t28iez5+d/a+koi873ZiIm7MmQsAyFu7FpEjRni5RkRUWUoOVFeVBkMQRNfIwt0XZ6vaGW2zZs1C586dERYWhjp16mDw4ME4d+6ct6tFMjYuPI5vX9uF3Otq1xeWiXCf2rHVDbVyUXAt2/MasbbnRWWM0mcqkaJr1MmXcxeTSdJc1JNNRy39syl9FPALMPc1VJRfdVKSPWXTolNY+tYeyUAQROXm5SxQkzjQ5sHAPNljRhsRedrt75d6uwpE5CVGQ9UNtIndje2hqvQZ986dOzFu3Djs27cPW7ZsgV6vR+/evVFYWOjtqlEJV07eAgCc2ZPp8rIKmWEzvXIxKA60id2+BGQmA6tHm5+Lnf0d+Lq7dJrBs01HBaNRelfAg4E2S6DJP8gXQWHmzIyifA8HEquAi0duoDBPh0vJ2d6uCt0BjCqV9bm4GWdlMeXbmhQIHu5DkqSUHAyB7iBGlQqF+/ZxP1LFVIX/h05jQPq5HJhMd+PlNJH3VOVAm3TfdPeltFXpW61//vmn5PWSJUtQp04dHD58GI8++qiXakWlc/1HpFDaL+Pj44WvZmAN2/O8q7bnt1OBNfHm56prQPwm27yVMun5lZHRJnopyHx+7iIJtIX6QXVTg6KCOz+jzYInjOQORrUo09dBdlvKwX24mXYZDzw1zO0jMZvEN6eqwAXZ3cSHgyHQHeTyiGehu3gR9RISEDl8mLerQxbFN3AK/X29dim7NfE0Uo/dRNchTdChl3z3Kwa9EQc3Xkbjdveg3r0RlVxD97q5aBF0KRcRNesDZoqTV5UMtBl0VSjQJjrnZdPRKi4vLw8AULNmTYdltFotVCqV5EGVyIkfkclkxIUDe1CQYx4hRe6iUunrjSwA0QXwrRTbc3EWmzgA50hlZLShcpuOBhQH2gCgIMfDgz14mfigYDIy0EYVJznRcBDo+nXu+/j7px+RdvKY+7dvFG2TgbZKpWTTUbqD6C5eBACoNm70ck1ITDAaYVQosLNlLHa0jIXJWPkX2qnHbgIADv9x2WGZ5C1pOPLnFaz56HAl1cpzsj/+BHm//oqio0e9XRW6yxkN0msVvaYqBdps55x3Y+5CtQm0mUwmTJo0Cd26dUObNm0clps1axYiIiKsj5iYmEqs5d1JfBHpTMjn2Obfsf7jD7B08qvmZWTuBCk9ndGWnwX88SaQfd42TZyJduui7bn6lu15sCjIm5okv27xqKMmE5B9zr19NJlMJT5oD2a0aSwZbT7wDzb/T5JWnUdBjhdGha0k4jtDJiODElRxksEQygh0FeaW0SdkuSog6oz2bjzT8SIfNh2lOxG/11WKYDRCJ7pBbfRCFwUWpY14eCvjzuj6R9LBuxeCmkRiJTPajm5Jk4726U2iangyMaSqqjaBtnHjxuHkyZNYuXJlqeWmTp2KvLw86+PqVScykO4y1y+r8Oc3J6G6WeSW9ZkMrv2YLx4+AAAoyjdnGyoU9l9Dj3cgvfb/gP1fAov+YZsmDrQJogOnRpQVGXyP7fnWGfLrNopOcP58E1jQBdjzecXqK2Luo02U0ebRpqPmz8E/0Be5Wbbmb3vXXXS0SLVn0IkDbVXkQEXVmjSjrfTvlLubjQIlMtq8PALq3UCvVOLyPRHQ+PpIbiRVmRNfogpiU7kqxiANbpmM3h/IqSBHiz++OoH0c7abR3fKLtCktl0/KTmSN3mZyWB/Xnfjcr5MyconvtHMpqNV1KuvvorffvsN27dvR4MGDUotGxAQgPDwcMmDpNbOPYKLR27gz29OVnhdN66okHLkhm2CEz+ikhcbshltDk7iNIV65N92QzZV+iHzX10+YDQAVw8AOgd32nIu256HiAJtAWHy5cVNRw98bf67xUFQrjyMJfpoq4TBEAKCfNH6kfrW6Wmnbntsm94mHibboGdQ4k5myM5G2ssvI/+v7R7djmSfV1agyxO/Z4F33yvTyZjaOF3/Hhy8N0oyvUil9UiwzaTVwlTknhtnRE7xSvce5IhQou9ek67yM9oCQ2z9UapuFmHninO4lJyNXz8VN628MyJtJrXtekHh7+/FmhDZZ7QBgF7r/WA7IL25LNwhv39XVOlAmyAIePXVV7F27Vr89ddfaNy4sberdEew/CCz0yoe7V496xC2Jp4Wrdv1H5FcUM1RoG15wj4sfWsPNO7skP+v94DvegGHFsvPT9tje+4XbP6bcwW4tEO+vK4A2DUHOPmLaKL7di6CqcSoox5swqEVDYbQomsU/vlCS/P0Qj1uZRbg7zUpKCq4s0YhNehtgQi9pmocqKoztSoPl48frRKjopV0fdZsFO5KQvrYsR7djiS4Usbn4JGwuXibbDrqUerDh3EtIgQAkB8UIJm3+L9JSPrpglu3JwgCUv7xT5zv8gBMujtrX0xVl8IbA1aRQ1cjgnE7NND62qT3wr5AdPC6lVkof1P8Djn8SAYYulPS9Khc8jZswMXH+0CbklJ2YQ+Ru/auKokCkn6vvVgPb6nSgbZx48bhxx9/xPLlyxEWFoasrCxkZWWhiHduq4T0HLXdNEM5hhSWy2iTa05amKtFUb45wHYz3Y0psX9/5nxZox64sgf4rJ3jMlvfBf56H/htUoWrJl8Hk3QwBA/eWRaPOqpUKtCkUx3zNgVg5XsHkLwlDfvW3lnNSMVNRy1NZ6n8fpgyAWtmvo3TSZ7NGisPQ3Z2pWzHmcEQrNh0tFrLnPqW9H8o+X+acGJ7uns3qNfDeOsWBL0e+rQ0966byAEFM9qqjIxzZ3Aipg6ON6xrneaNPtrEN8DP7rkGHx/7Y9mdEpIyiUYSZ5b43S1z8n+hu3IFmW9O9VodLAk0ASG2GyCW6zevE5//erEa3lKlA21ffvkl8vLy0KNHD0RFRVkfq1at8nbVCMCUn+xHx3NmSGFB1JeEsaAAgto+cOojc7EpzsCreACknBezmjwgsW/pZbLP2Mp6QMmMNk/uuMSBNgDw9fOBr790t3Er887o3NZCfBdIV0VSr6uzgtvmwUQuFffNWKVUUseskhveZdz9lrvJUPEKuN50VHf5MgRmSLnsQqA0ACHX5961lFy3ZWWL/5+CFztAp7uMkoG2qiLv+jW7aZW9775w6Lrk9aXkbKhVMnW4Q660JRltXsoS15w5A92VK17ZNtkTtN4bJM4SaKsVHYrG95m7OHIUaCsq0MFUid9ZSR9tlbZVmJNo1o0tsxWJp1XpQJsgCLKP0aNHe7tq1UbudTUK82x9hqUek2ZwVKS/mAyZwRT0TgTaxF96QaeT3znJ1Ev8PtQqrd38SiEegdRVhxKBI0srXoeSGW0eTFsX99FmIe6HAwBCIqTNo6oyyz6kNEZR01FmtLmPT1Xsx6ScgTZDTo5rQY0ymo6aROtSeGBwE8HFpqP527bhYp++SPvXy26vy51IpzHg+mUVBEHA6aDSTqvM/4df5h7BqpnuCTxLAm0G3higyqHwqdKXD3cXmeOYsZIHQzi7N8tumtzNhDtlQBhxRps3ssQNt28j9cmncPHxPpW+bXLESz39ZybD9NdHAAAfPyUCgs3Xa1qZQNutzAIs/s9u/PHlceu0/NsaqG55rqWg4K2Mti3vAMnLgMu7zK3RHPXD7mE8Ut7BivJ1WDZjH5ZM+ds6bYuoPzUAKMwt310vwSQgWCYtXK8t+4DjzIFWbsQk8U6jUO5OWWXQVqDJ6m+TgPXjgcIKBOsAwGSU7M89GmjTFI86Kgq0BZQItAWGVI++WkwmI3547RWsee+tUsuJm46yjzb38fXzK7tQZStHoE1/7RouPNQVqc8MdXoZcQewck1Hb37zja1KnjhZEwfXnLgoyFm+AgCg3r/f/XW5A234PBk/zz6Ei0fkmiJLdtbWpwU5brpZJAquMQORKg37aKsy5I4Yld1fY2hN+xuuZfURVZ2DbtKMtsoPtOmv2bIYud+vIiqphURJJxfMQ2pmDQCAj6/Ser0mlyhg6bri8gnzdajqZhFWvLcfyxP2I/NCrrmQyQTcTHFb34Mmk5cy2iw0ecDCB4EPGwHagkrfPANtd6irZ27jj69PWF9bRlI0legwMfuq64GjtNO38M1ru9BUZlFnmo6WJPfDU8qcOojTYG+6YSCHctHkVnwd4lFMy8GoN2D/vdHW1548WbENhmBrJhIcLs1MMsiMdlMVXft7N7KvpePK6ROl9pOVl227s2MJNN4NBEFAxuuvI3PKFI+s38evKma0ub5Iwc6dAADt2bNOLyMdddT+95qzfn2F6lQmkyjryZmLAmaruCTrkgoAcPrvzDJKun9fLTDQRl6g8OAgTFRxpkpuRq4vPlfy9ZM/dpxKykBOVqHk8Cc3UmJ1IYhGdfXGQE/KAFtg01hQ+cEDklGJgbZbGQU48FsqrqXkYuetUbio6QYA8PFVICDYfFP7yKYrdoMelmx1dmbvNeg1Rhj1Jqz9+AiuX1YBW2cA8zsCB791T2UNtm2aKusjkuxo9MCtFMCoA64lm/tQ3zCp0gYx4dn0HWr9Z8m4lmLrI8wyMmTJA9vNcgTaNnx+DAatEc1uyYxy4mqgTRBkrz3CgkLspomj81fP5FTOQdo3SPraHf2u5aRWaPHM7GsQRM3LnB0uuShf51JQThAEFOaasy6CQm1Bkhp1giXl9NUkGFV06pT1uUnmxEinMeDoljQcF3VWrruLMtoMmZlQ/f4H8n5dD5MHBpzxrYJNR+X6zyqLT0SE9bmjpnolf2eSV3In5eL+jipysqZRAT88BRz9Ubp98TaNZe83OaJgOcnsX6XHWOl88QjH5d6kqOmoSeO9PmLoLsNgfNUhc8wwebgZ+Y0rKhTk2PY3lnOlBwfHyZbfsewcdq44J5kmN1JitSG6eeWNjDbBZIIq0B9HYusiJ/VSpW+fZFRioG3NR4dx8LdUbPv+jGS60keJ+k1rWF//9MFByXdV3GIHsE9aObHtMrDnc/OLLe+4pa6CqIVapf3iDaIWA+KWaCYjsGsOcDgRuF05vxseKe9AtzLs724U5euRe8N+lNATOzOwNfG025qxqNVO3EUr0V+RXKBIrumoOKPNaDDhtrOd8Ktv218AObtDrBFTohIyd47qtHJuXRYVDLQZS1woOxM7Szt9C4sn78aWxafLLlxMrdKZ+9hQADXq2YJrNepKg4/6cow0WxFagxH5Gtfv1orv8MrdgUxadR571qQg97rtd3I3ZbQZPTBcvTjgVBUDbeVJH1OGhVufG3Nz7eann8vBt68n4dx+UZ81ZfTRBl/bobhCgyHs+QK4uA34dZx0uotNR3kRXT5yP5v82+Lgl7SApsANF8PijDYG2qiSKDgYQtUhF2jzYHZr7nU1Vs86hO+n7rFOs9xwDakRgFbdomSXyziXC0F0LDKW0bS0KpP0jemNztYNBuxuHoOsGqH4e8Oayt8+2avEQJvlukvcAgcw96ddt3G4tPD2D6xPDaLrNUEQkH1Vek2rPC36LgXXcktd5RIbPM4gOhcSJ8iIr+ErqW9Fnk3fgVb+z76T5aJ8nV0KKQAUqXQ4tz8L2384YzdPTlkdJt7Kcy1gd+iv67IhbrkDV8mOHW+mO5GNd34T8FFjYPN0l+plFdGg7DJN/unaOgtulK8uFoI0+ONMltr1VHPTpgsHr0Ot0kFbZJDtKFMsJ8sccIq4Jwh+/raT6prRoZJylR1oe+n7Q+j4v624luda1pU4+8hksq9z6rGbdtP0VWV4bA/TpaUhddATOB1dCwcb14PRTc1ODHrbyb5vlWw6WrETI8Pt23bTfpt/DLoiA7aK+sOUDjpqe2UyCbh45AZ0PrbgdYWq5CjjVtJ0tOz9BS+iy0d+Xyw4eA5oCit+MSzZrxUx0EaVxJf7iKpM7ma1u8hdS1gy2vwCfRAY6rg/VnG/be7I6PUaFwcYcvvmdbZrLY42XUV4aSwEsaimEfAp2Xw76WMAQOaFHKSdtp2zFuZqra2WLBQm0TlEyD1uqZMk694tayyDySTNaCvKsT0vuG5f3sMYaLtLFORqrQGRoHB/PD2lE4LCbAfDG1eca0Kafian1PlKJw444qF+D2+/IZ/RJte0rzjo4RdgPsFzaiCHTcUd3++dX2KGk3vEoJpll3lsGtDzXeAfTgbzKvhD1+mkB1XnBpewlcm9ocbK9/ZjRcI+aApt6zq5KwN7fkmxrs8yEEDJk6baDcMkrysz0JZyowBJF25CZzQhOS3XpWUFvSjzQ+b7JdcU2aA3weREU7vqTvX779D7KHG5dg1kh4cgNzO97IWcoBdl2PjcIYMhiINWxhKBNkEQZO/SS/Zxou9e8pY0/PnNSewOqS+ulOt1snAQIJME15y4u6jgRbRTBJMgvViUjbM5DrTJXbC6XAdJ01HPjRxGJP6usXl51SE7GILec4E28cjYlvNF68BZgb7WPqLkZJyzXUPk39RU2wERxL8FyNy49TSD1hZICKyK51Z3IY8MZOWi2Db32HWJIsB8PnemxMjAmSm5dsufLnocv+VMw9HCJ2DyC7ObXx6S7E+3rLEUl3YAs2PMTUMtCkWDVOWLrr8NbhqQqgwMtN0l9q69CHXxSJ31m9VA3cbh8A+0nSg529+ZtBmMDF0WdixdBK3acbNOw3VbRpcgCLLNbQSZ4Ia2uFlqhGBuV23pd65URvkyRmcP7oERZZfxCwIengQ0fMi5dVYwo01vkL4ny0W8yWjEjcuX7E5czh/IQuox247m+F9XUZCjRWGeDj9M22O9UNy5/ByObk6z9u1nufPo4yvdTQQESU+wdZWY9ZWeY2vW6fT/sJjJYAsqmkwm5GQV4vCfl62dgzrqL6SyM/a8wbdePeQEB7p9veKTwSqpHIE2QdyxqyiQqNcasfCV7fLLiF+IAl2nkjIAAGpDiq1sRS48HDU7FY/65MxFATPaypR/W4PFk3fj10+TrdPENzRsRCPOlmiqcHTLVRzcmGrXQbErxDcQbn//fbnXQ1QWceaMgs3Lqwy5G4eeHAxB6WM7blpuLFluzPqXkdEmtu7To7hy8pb7K1gZjOJjauUHCw0a0bmV4c4/R60WKqnpqMnB9+0e34t212cAoIf53D7vurT7qEuyo6QDV7SdsCd/NM5eb+lchW5fAlTFo+DmpQNFuZLZ4v2TydOhtp9fNDcP3THLNk2c3CJ+7iA+4G533ZGycM8eqA8e9HY1Kp2mQI/9v5oDVJaMMN8A28VUyX6/HCkr0GbMW47DG3/FrmWJDsuIh6XW5a+S/dnJZbRZAoU1leY+zjQFTpxIGOXLqHXS4NDXhv4AgGwhAtcEURabM4E2i2An02zzs8ouUwpdiRMoy+e3e+VS/DBlAo78bhvBMCerEFsWn8atDFvg86Jo56rTGHHm72tY+/ER6zTVTXNWhKk4+OpTdB34cYi5o3UZWrX7Am2nM1XIynP8HdOIsoUKta5tV5LRZjRi9exD2LfuEg6sN/8uHJ0s3Q2BNoVCAY2fbX/grpN0vSjQ5pV+TMoiOi9yuk8bB50gi4PZpRF/zwJD7C9IxMEYlUYPjSvNaxwF2sQBHmeajoouonPXrXN++3eRy/vOQ1OoR9YlW3NdrWxTUNvnrSxxDpxzrRAHNqTiyKYr5a+IqImY/kpa+ddDVAZJEzVmtFUZgkz2micz2pSijDa91ghBEKAtNG8vINhX9rjmyI3L8ueVVZ3khpWH+3qSbYEhOrdSVMVzq7tRJQXatIXy5+cNA5Jlp+sRDEEQcKtEv+YXj5rPWSPqBMkthuzC2mVXRqMC5ncBPmkB5F4FPm1t7q5JpFIHQ5DLUhMntzDQ5lmmwkKkvRiPK8+P8sioelWBM9kQlkCbn7/t329ycvQf8ShDpbl51bkTfsGYCY3e/mtY8s6/YBKgKc5gq+l7FYCzgTb5H5JGkJ4InDI1Qm/th3hc+yGM4p9FUI2yt2HhbHt2cXvxUsg1WdRrjbheID3BtfzPD643d2K5Y+ki6zzVrbL/X+lnc5B5Idf62tKc1Fh8ge+TfQxI2Qr8PU92eb3WiPRzzr2n0qTeLES/z5Pw8Id/OSyjFd25K3AxAFYyo83SeW/y1quSJrRWxcfMu2FABMFogkl0kuCuEcvE/cR4pUPUsojec+oTg4FfXwW2zCh1EXFGmyUlPuNcDpK3XpWU8xPdyBDEET3Rvk32e1ccCMsr0qPLzK0Y8uUe+zKOOGo6Kt6XODUYgm0fc+3NqdW2eY8n3di91W6atrD0/W1YZIDs9JtXZQbZcZKkCdNdxqA34sqpW66Pdk7lwow277h09CB+eu8t5N1w0O2I3v481+TgJrM7iDN39VojdEUGa5ZNYKgfAkNsx49O/RvJrqP1I9EAAF1RNf3tGk3Q+yihCvT36KijhfsP4HyXB+xueBm0tmNNlTy3uhtVUqDtyilzFmhIDen5ROfQVbLl9QjBX9+fcdj6qG0P+b7IFUIp1wEaFaAvMgexTMX7mt2fmP/aXb+Lsj8dr9E9FDLnwOLgmjjRhU1H3U/SzCfdPX0QVTUlh+6tGR1iV8YvwAfYuxC++Zcl0wvLGMhg+w9nkHEu1256jH8yov1OSaa5sr+Ru/FW8g6ORq2HIJhXGulr/t8VVSCjzRfSg7sW/jgvxOA2wnHVVMc2w8mMtly1Dn9cdLIjaq2qzANz9tV8LHptFw79flky/e+fL+BGoXnn6ld88WtpOhocUcNuPfJNmaQuJUszcYryzZ+ZQWXemfug+B+Ul+FwHb9+erTM7ZRl9wVzPQylZNyIs3sKtQbsvnDT6UERxB38lwwk/f7lcbvyweHmzvvvhow2wWiASdzvitsCbeK7vlUvWCPuU0OXmgrTgR/NAeXSmleK5xlNMJkErPv0qF1/W8ERtsEfBHGczWhpqmxCvkwg3HKTYfeFm9DoTTiVqcLW007266jwwS19DHINUdJ9jOjEx5nMwpIX0RzN0l5Bgf3pk6ao9KajEffIN8/2Ldl5sQvE2SyK4OBSSt55dv90Ab99cQx71170dlXuCpLMqSq4P79TrZ39Lq6eOo5NX86TnS/IZGO762aZHHFXM3qt0XrO6BfgA18/HyhFx48adeT3SaE1zftCraZ6DjglGI3Y3rIhdjePwfVrjs+NKypjwgSYCgpw7c2pkulG0f+8oq0FclasQOaUKW4777trVVKg7cZl87lmk462a9Vwnyz4KvSAtgBIXiEprxcCcXafLcDUKmiLZH69eyPQpJnMd8hRsF6vAeY2BeY2A0yi74w4c0xvO2cU3+j1+FFDKXMuJQm02VrUOXx/bnZXBdrEmQi6KxVoquGigqQkXHtnhiTQ5yklm/ENf7sL+o1tJ5nmH+gLbJoKoUTgJOvYBYfr1WkMOP33Ndl5rYI348la0xHhkyma6vwOR5AZh6TkHZoilfkHEaDIR7DS3FRHNhukJAc/JH9Ip58XbBH9/UILUUWcC7K89P0hvLL8mFNlIZikQwzLSFp1HgadCfuLmzVaXEq+ARQHCX2Lr94t57tKX/umHOW503/xyA3c3jAfSRuKA22K4s/q0g7A4LlU25uiPvcMDpoyF4nezydbzuO57/ZjypoTTq1fEmgrMSKXpV86MUuHvndDoA0lMtqM7gq0iX4/ciO9el2JEyODpviQqFfLFDaTZIeZjLh5Vb5De8sw6iajqURGm/kHm39LI98/ZfHEG/m248VLSw/hwvWyO87PyonAylufY9Wtj2HS2QLQkhNxZ7oJ8JHeFayMY1d1ozPZN7eQH+jP9k+OahqOuo3DEVlPevFpN0qYK8QbvcsulE4lmc85jm+/M2+cVjXijDZv9Et1t8u/bT8yOiDf7YE4g9/dxIG2i0duWM/FLQOsRUaZb/D7+islmd1P/ud+NGxdE0Pf6mztS6oy+/h1K5MRhuLj5NW0VM9tx0c+S93opow2Q04Ost59D3m/rkfh3n3lXg+h0kYdtfTpKh7QUGG5jv76UWDdvyXlj+Q/IXndKniz5HVojQDUqiXzOzQ5+G2qMgCDxpw0Ih5owCA6T9Tazlcl/Rp7+gaNo+5TLCSBNma0uZ/owJP785pK2+zVf72M3J9+wu0lnu+oWF+i3yrFhomI/CteOq34xF9vkt5dz9v+o8P1ljZYQqjSPPJeh5B1rlTVRrC/AC/ZdFRTPBBCoDIf/kpzO3OnDtAOmo4GlAi0pQr1rM+/NAxCUmAP4MlvgKa9Ab8QIPbhUjdz6Ip900lBAE6pe+G6rqn9Ahr7wI6k2g6a8ho1GgjF6byW/mjlRm0FgBtXVNj87SnZeaXJyy7Cio22YKOPovgzLMiyjeLqAbdF/RsVOghuaWS+h7vOO9c3lvgOr76o7ICh5QRRX03vuLpCMBklgTa3ZbSJm1lWxeYNdoG24pNaXWmBNnFffybkZctnVFoCtGf3ZUlPwEzmkWyXzZA/qbV8Tuk50vVmltJ3oUXK1VoAAIMQhPULRL99owm3QgKRH+jvVNNRRYkmqILa8edxt9IK9tnicsQ3knx8FXh6SicMGH+fpEzJAWdcIRnRqyr+xjzk/AHbHfqAEPubTJdP3MTmb09CW10v5KsgQafDjbBg7Gweg5v5pZ/D3MlMhY4H+/IkRzfA5G6EmDzYQb74euDgxss4+Js50BQY6g8Y9QjIPY0xs7ti9IcPS7J1o5vUwMDx7VG7YRj8SwTaUg7fwJbEU9WmGbh4v6v0YCaTwt9fdrpREvQu/35fc9zWmiN39epyr4cqb9RRy2/E198H/ce2Q7j/Tfwz4gvzzNvm7O6hbW3X8ynqByTLByls/SIqFOaAXbu2hajvL01aMOhN8q2vxOeHR3+wPVeLBjbR2rYhHFtue+7pcxRXbuiz6aj7iXeMmvPnKn37+gzPpRdblGw6iiPfI/D2Ickkndr85dIL0jvyebmO12vUS9d73N92wA/xMf+4GgaImg+WcuCxDwvJTClxt9TSn5bWR4tXiu+WadUGyVDh8huT+dEZDfBVmN/PCN00dNEsgPhKWAt/fBD0H+C+YUCNGGDqVRT1XgijUHbnv/P9RlufX9Xdhx2qsfj59kf2BcsItMn1z1ZcdVgz2iDNaCsZVNy92nGGIgAEKXNLmWvbNfgoRCd3BxfJlDU7s6c4ozHpE2D1aEfpHQ5J+l/TyS/rUsfwJYjv8Bbllh44CA73t36wu1aeL/c2qw2DUdJ01JVmJ7k31Lh4VH4kXXEWW5UMAjjMaCvlQkqcBm80OAz463UmCIKA3CzpugSTCTfTHWe0Wj4ndYkLDmcG/9CL+rvMuFBgzY7LL1Rhf5P6SGoe49z/ocRddPEANs7QpqRAd/Vq2QU97J1fT2LIl3ugd3KwH1foBCebaYr6ObH8xCzZshYVyWiTNOe7i/pr27L4tPW53EhrGxccx4VDN3BgwyW7eVQ+gk6LQ/dGoTDQHzsuuX4T706QvXAhznXshPy/5EeY9iRHx2WTzOjeldV0FLANkubjqwB+mwR8/QiCT36FgCBf1G8eibqNw9GyW5RtgRM/IyDP/PtNP5uDU0kZ2LToJM7vv+50dqpgEuyuSyqV6Jii9GCAxWGgTeuepqPiLNX8zZthLPBOEPmOUElNRy2tJfxOr0SjujfwfKsvEOV/VlKmdoMgPBY+X3b5QKUtCBZaMxBKHyX8lToMrvkO7gu2DaanNQZJM9YsxC3Fjov6hSuUD7QZT/5hfe7xUUf1LvS/z6aj7ifJ0rgDh0PWaQzY/uNZu+kBCumOs2Vnc79jOqFERpuxHhwpGcDTKGw/lmClOdgVqrSltTs7uIKZ44y2tNO3sP2HM9b+4y4FGHE+yFZ+3adHyxwJ1X5ztpOSZFMcbiDSrsiZaypM/eUEUm7kI/emFokzL+KP3CllrnpNwJPABHPAMdcQLXo/JQpq8kpteuGobzWj4Gu9cPMtTpE1QQDO/AYUSHeIZWVJKGSa7FbEX0vPIvvSTWDbu8CptUD6AZeW14pO3gocZJFpKnBiJU6vL8ov/U7GI8Oa4cYVc+pzQU7l3PXwppIZba40O1n/WTL+/PokTiXZ30gQ99FWJTvUL3GCatQW/2ZKy2gr0Uebo1F3BZNg7Shauk2h1Gxcy+ek1bseaNNopb95y4AxueLsE2eCTiXOF68893zZyxQzFRXh0oCBuNirt/MjuXrI0r1XcPhKDvZevCU7/8rJW1jy5t9IO30LgiBAdbPI6e+pXNNRebbP29KqwT9AGsisyPm5OMMSglA1A9oeZjQIyL+tQU6WfbZ7Tpbr2Zg38jXYeT67au6zvEjcF5ihKnYFUAlufm7OHMl6991K37bRwWjg8k1H7Y8XgiBg86ksp/u1dcRQ4jxMrTJv/5FB9YCjxZk0O803mH18lXh6Sif84/mW5um3U4E18fDfYWsdsWOZLfHBmQG8AGD958n4/q2/ofNSiwPxeYB4FFZ3U/jJj+BqEPfRVoFRT4US18KC7s4/3/WYSgq0WZqO+l3dASzpLx8wMhnRKngbAkXZaxZ+Cg1q+6YAAO5/PNY8sfi6uFOoLasx1xgNqGQC345G6xQH5TS27Z7V97A+9+gh1WR0rTkom466nzjQ5pWRujzwI9QU6mEsvnDa/+slSYfcvsUn8wpRUCwgxBc6w22cyq0DnUl6F1hlcBxoK3kHq6GPrfNhH4WxeDu2+SUPxGJCyc9B5iBhOcHd8PkxnP77GnYWH4j1PloYlNIfee4N6Ym0QW/E3rUX8cucw1AZ6kBvko7MYtLZDuQ6OB6GfMWBNPT8ZBeObk6DYAKuaDvJvx/RnsNHqQBq3gsA8FPYfsRaIQRXte1wsGAoBEGBzJQcLHptF07uks9yLH0Qg+LRQMWf41b7kRL9S9zlLzkwRpDSuaYfxhIjtJZ2F+Cnj44jW188tLOLQyfrxIE2B0GFCmW0if5PmvzSTzQDgn0RGGp734YKbLdaMJpgFAfaXNg/Wjr0P7rFfqRh8Xqq4shYRoMBhf6234l1V1TaXTFJUz1jqU3T8m9r7Joe63VGFObZfhvtHpOO+GT5nDQG1wNtWq30N29t1irenzhzUl6BDDCjynaCVXToUCklPUu8r3B06P1t/jEU5mrxx9cnsX/9Jfwwfa/d6LFyjAYTjDAfV9oGbwQANPQ/LF9Y/HkXH4sVJS7MKpSZUfK3ehdltVkU5mqx9K09WJ6wH5pCPVS3bL/f8two6ffZbryw+AB+P5FVduG7iCDKnPJkc7nqQBEgP4Jwee06n41L2aX33WtQ2V80A4D+ln3fbYJMi4L1xzLx8g+H0fvTXeWrZDFTiesBy82msKMf2ib6ymdiWfpIqulrO19Q+ti+S0YnzrUEQUD62RwU5evLbtXiIeIAlcIrTUdt5xAVObey6ybkLjx+uE1lZbQVJ774KrRA0W35a63i/tL8ldLr46YNrkGhAIbUmorn/h1gHf3X0v92oLIAY2qPBgDcNsRCk2U+H5Ikhji6tjOIzptFfbRlGG39xFckKIyzG4ENEx33FS7qW1kQgP35I3C26DHH62PTUQ8weLmJhZt/hIV5Wnz3RhJ+mXMEAJAuOuAofRUYPqOz3TK+vkpsmD8ff15rjlCdud10jL85A6vAVMthX2wlA2czwt5B08Cd6B7+pWz50vp0E+w+BpnBEARBcqfKMnS4QanHA+ek5dfPS0a2qEPyA+tTcWTTFVy7mIcfbn6Nb26sRLq2rXW+vvgiWi/4wAj5jkbFrqTZAlKCfeUlTbzEwS+TaN25hvpYn/MuDhSMQLquHf7Y4Ae91oidy+WbMIvvRhpP/4GUD16C+sKR4joUNx0tHl1FEATpkMXFtAWXoC/627pj8/FVon7zGgCAUOUN3Buwv/Q3btl+yUDbnDjc/1hNAEBMS/tswI0508xPymgea1df0XfGUVBB6yAT1ZmmYeJAm7p44AWlr/xv0j/IF4MmtreVz3MtaGgyCSjK9242jysEY4mmow7unJfGMvKYmCTQVgVP4Paob2Fny1hciygOQlt+36U0HZXcpDGaoFNJBykIVOQhuLjfStVNDQwlvss/fnsLWxPNzWbu7VAbde8Nl66/+LdfMnuz0Im+azQlAm2WbF9BMupo2bcU5S7SnCbadxXsrNgFXUWoimzfR1+5kahETHoTDv9hHiBpz5qUMtctzph6OGwxnrvn3+gQ8quD0uILMgG4sgeYI+23s7QbU2URSgzb7ZWbiC4QTK5lDsop7fwi/5ZGkmWak1XoctbLzQLzCfhvxzPLKHl3MYmaq7nSXO5WgRa7L9y8ozIElQEOAknlcDIjD6MWH8A/Pt5ZajmTzEeuv34deRt/t5su15/b9rPmLh7yK5gFJteHsI+vEgGZO0QTHAQii49FgcpCPPFKHAAgrKatdY0zNx3ELWwctdxQ3SrC718eR+YFzwTijKJjpNKDl9IKf/tkAEEQYDS4p+loyS5eqvrxo0qrhEBb7nU1rqeaA+6+iuKkEbnkh+JRP8Ut2ur7n0BP/asAzF0CRQiXofjrf0DuVUl2V7BPHoKKW6oVpJzCxSM38M1ru7Bx4XFs/u4UjDonrg+umq8vUw5mokiIsE6WPf109riw8lng8BLg4Lfy80U3yLMNcThUOBTb8iY4Xh+bjrqf1zPa3OzSUXOa5o3L5h+d+OQ/ukkN+ATYdr7/uHcdgsL98c8xrXD7qvlO0g11IZ6M/Qz9Iz+AL7QQ4IMCB80wS95lOhSkRO8a89CmxOglFqUFrY12o4LIZbSZrO9LrEZhIN5Ya19+3zpbPyyXku3blGfo2lifG4pH69HBdlHqKwoylMwCP5lpq4dGCDU/+cfbEATgQr0pyMq03YXUG00wmgTceGoNtPW6Waef1zxifa421YBG6ziTzrwi2w7jz6+PYVPas1j/haXTUkugzRzIK86RsFvFxQOLYNTsh1FnvqgPvycQ/cfdh2Gd12FU7f+Dr1IazTfq06DJXQSjXjqCUhECMKh+FBbUKN5ZavLwQMQaPPlGBzz+cluUVGiqhcuajkBRbunvsQRJH20OAm1FDoINJfuzkmMSfSkzi0cZDY0MlC3rF+CD2jFhCL/HPL8wt/Q7HyajSZL1tjXxNBZP3i0JAFdpJQdDKMf+Ua5fQfHornJ9dgmCgJysQmsgvbJdK74zl1o3srg+xTNKaToq6aPNZIS20PzdiPY7iT41PkR83dGI8jM34VdlF9mNWis+p/AP9EHEPdK+vmyBNvNytULMF3RONR3VSQNtBbfNdRPf8Xbqf1uB46N4/YUHXGs+7k55okCbowC9hVxn+qWxZDH6KYqgVJgQ4XvdOkhPSeLBEBQKAL++ChRK+zSsSEabXVC0ip/b7CvOHDyzx7V+/8QcNdcGAKPRJG2aLQC3r5Wv36EcdfW5WVIZxE1HXcloG/bNPjz33X5sOF7+/3lVo/B3X0bb6Uz5TDVAuu8yyXzm+du22bcSQdn7+cs3y98Xl9z+KijMDwp/0bHMUUab6Nw20M+8j9aJjpF52WUH4S2jnAJAxvlc2fJJK88j9dhNrP34qN08dzCKbnB4sOWoXdPRnNWrceGhrii6aLvmMVWo6Wj1On5UaZWQ0LbnF9uNQD/LQHV59q1J5DLamgTuhlIh+q78OhZI+hj4cYhddlegwnxdq8lMxZ/fnIRBa8Tl4zdx4eB1XDzlRPPuC5uR/c4D2PTdWYj7YZcM3mc0AMuHA/PaSvt3K0ueg34cRRltBsG2f9aZ5K/z2HTUA8SpvpUVaBPKkRnirIJ0W7NDQRCgEZ186ooM0IuGf46NOIsXP3oYMS1qWqeZBCXq+p6Bj8Jg7RxRmy9/8C15x/1fUXUBAJf8fPFBzUjsCArCwPq2zk4dXTgLgiDJnCmealdOLQTh4hH7gFmITr5fnLRTt1CUnorsy7nIyy6yy1RSmyKsB2NDcdNRrajZaO0w24/yny3rAoKAJrnpCNEVSXLeikzFwabG3XGx7zFsTn4Qf3x0BKEmoLnOB2qtEdPXncADy7TYe942stxFTVfROqQZLHLE/add1nYBANzSNTRPsIw6WhxoK+sQK5jyENMyEo+EL4HfsSW4pzAJCgXgC9tJc4AiH/qCnwEhH/qCtZLlM3wCkervh68ibXcllLmXEB1thH+efEbextzpuJ7u5E5Mkwec2QBBb/u+OrrAcdRH27msfPx06CoMpWS2iTOqMlPNAbDQGvIny5aRsoLDzSeLZ/dlWftFsFuvScDyhP34evxO7F1rPgheOHgdAHB0c1qFg0i3M9OhuuncyKrlJRilgbYrqUW4ccXxyb/F+T+OWZ/LNXcWB98M2fbv4fhf6ViesB/7f/Vyh+WW7FBLyoC+lD7aSma0Fe93mwftQFzgPuQolVD45gIAigp0kouIkmrUDYZfoDSr1tLfjjXQFuoPCGUH2gRBgEYvvbgpyC3+TYkCbSZHQ7aL11WBpqPiE3dvjc4HSANtck3OxZl9JZvZl8USyPFX2L4n/gq1/AWieEAehWAdsauOn22wmopktJW8MKrqfbQd+dOcObhzmfyxwxlatePzKp3afoASVzOSLXJL2c7dSNx/kyvN5VJumC/aVh2UuSCsptzZdDRANBiKscT5wu4LomahMp/5zVNHZLsXL2swhJHfOteiQY5cRql/kC/gJ7qgLZnRlpcOFNyQtHTwUxa3LhHtq29cycfetRdL/Y2L5x3ZdAULX9mOw39elpQpEN0cLcjRYvsPZ0odhMhVBnE2jAfvEypLNB3NevsdGHNzoT5qCyA6k6XuiF0fbVX8+FGVVcaoo+IgtzWjTY4l0CbKaAtSOjinv3nOrjlooNL8W9lycYBdcVO+/bm8XTAr+yzS1K2KX4gCbeKg8JXdwPk/gLyrwNV9QPJy4GbZLQpkBzkEHN4gV5tqyJd31ATVze6yQJtox+jBEXnE5IbdrojbmYX464czyMsuwpHdth+QuYmS7cuXn6OFXtQXmVxTIAEKKIrbUQcU343XquQPROIf957Yddbnr9e5BysiwjC+Xm1cFqU4W34HKw+k4Zmv9uB2YfEX2mSCsZTbPz4w3xEzQSnbf5lP8UhvAZrbdvMWv5+Kn2abm1fGtq6Fhwbfa51XZKphPYEx6swHdy1sB7BhnWMwpF00vujRAi1rh6JD9gX87+gGfLInEX6iY5jGEiSrEYOrF8zrUQjAyPwADFL7IzZfwPp9V/F4kfQulNpUU/S8hmReukwfE6Uf66QZbRCEUlOWG7aMxKDBRQg5+y2w8XXgtjmooVTYvi/9Imc7XF4lSvu1LFFwYhN2zHgWuZ//A77FbzUiQrrzy8p08qCzciSw6jkMz/vOOulWgXQHaDCacLtQZ9dvlcXQr/fivz8fx7L9jk/kTZLOm83/1OAI+7uuUXERWHw0DQ9/+BdQfAJ8encmklbJjz5682q+tS+sI5vSJAGqghwNlkzZjb9+OOOwXqUpylch8bV/Y9G4MeVa3mlGkyQAfvZkEVbPKrt/rS2/2u5CmYyCXaBB/JnL9SPy98/mYMORTVdcrrI7WWpp66OtlIw28ffo1DpoC83/+wBlIUwAHo+JxspI82epKdDbZbRZRAbloM0D4VBmHSmxemnT0aZ6H4zPC4SQUXq/ggadCUaTeZ/wQKi5Q+rCE7uBM79Jm46W2v9jsQo0HZUOOuSdjqoBaZBELkAvzopytTPrguJm4dJAWxHkr7jEGW0CEFIHANCnxoeICMwFAKjzyn9n1a7pqBc/c1dU5AZE5oVch/O0RQYUFUgv0svKSHaEgTYpSUZbOS4qb6junI7WFaKmo+ojR5C/bVu51+XvY7sUEzd5B4ALN0oPDqmzr8me/5lkz/ltMnLLPyCCJdBW4G87d/UP9AEyRdljvqJAW1Eu8Glrc+aKaDRC/0Jz6wmDXrovOLo5DWs/lh4XxTSF9u9t37pLEAQBl45m4/TfmQgMsZ2Db008hdN/X8Pq2Qeden/OEDfN9WhwysFgCOLztQoNhmA0IKNGKHKCzf+v6nL8qJIqoemo1tf2uxVfw9kxWJqOis9RSrnxWSKjLcDP/FptsE8MEdKl/dGmaB7CohsrcELdxzpNZwrEvgLLIFriQJvot64WZbElfQKsewWY39FxHS0cDcQjypbViwZ7LHIYaHNvfMaRuyrQBi80HTUViQ5mbtgZb1x4DGf+voZf5ki/6OJ0UgAoUumsTSQBQHDQ6Z/SYP4RWn6Avy++bB1BSMxyx/1G2BUcj96OGvl+uKUNwkUHHXWatOb1vvnLCRy8nIP5fxXXr0TmjJjCpw7ClK3N9XVwi0gr7AMAtD3loI12sfBaQejwj3poG2zuu0JtqgFdcZaGJaNNJ9iyGGqG+KNXvi/S1l1BzUtq9NAG4UiH15EVNxQBStv/UF3nEeCJBUBYPUlb83DB/FOKKwReUgWirc5xhoR4NFIA2LbktF2Z0q5zBWtGm3mbBX6Rdn3H6a7YAhdKHwWgtg9M6ky2NP96fvaj1Vrk+Kagx5F78NCJmjinCwMAbMxsicNX/bHqSjuMbvcFXpjVFX17Se9yqG/lOn4TYpeTAAC9NLZmyNbAbLF//3gYXWZuxZlrpWdZ7bvkOP1YEugp3tkHhdq+vy27RqH1hNaYkX8T87alID2nCBdzbQepM3/LN3vJuiStkzhAdS0lD0X5eofLliXvuq3vPU/2b1Myo81yYMzLdm3EvpJBJZPMyahBb8TFozegKzIgKKzsfm40Z88i+/PP3X7TQsxgCbVZfkeljToqbjp6eQ+0N8xp7Oe1Jlz38UGRUokiX/P+VFNoH2irXVuJcfWexLMRLyLgxHdQ/iINolruMBv0GjyuPIhWl3QIhAJ1j+dDtWkzUp9+RvL7trA0p1FCj5q+5ma6+bk6YNVIyR1vZ/rKs9QhNzgA+++NgirQhf6IqkgXDfla2wVrkUxGW5EomC9uilSWD/88i7Hfm4+/4mYZ5ptVMu9XdPdVoQAQUgsAEOZzCw+1vQzAnMUhd9x1ht1NtDs8I+Hs3muSUQpLKsrX4e+fpedDrn62EUYFog1K2e/N3cwkGgyhPJeUlr7v7gRKUdPRK8+ORPq4V6FNd9CkqQx60f75ue/2S7LaSp4LieWsXo2AXfIZbSX3vRq9Eb8ml7/PQev5R/IK6K6bb2iqAmznW36GEjeMtSrg78+BvAzoLpvP22HQAAW280T/K1sdbu9WRqHDgYbO7ZM/nyrI0eKPr09g+w9nJcfdaxfNWXQmmb7lnKUp0OPkrgxr37sGo/jcxnP7CaOPLdAmPgeSdPVRgZsWN7Kv41hsXextWjwo0x1+/HA3yXl5RQNt22cBa14qtc+yvTf2WJ/f9re/HirM8setMyHWFkLic5RAB91bAABuSY+Zgf6OL0J1RQbkGeohXW9utbUp978AgF2q/7OWOVT4jGgJ0fmnWrSfEA2YgAznB846k+mg38XiG+Ta0AbQi5qOqk01oDMFwtSsv7S8i/2Il9ddFWiTNvkxVkrHrIJ4x6it+IWi6qZ5HSVPHC39td0TY+5D7L6eMTDoRSdFBvkLRz2AbyPCoS+Okhv0AnavvmBXzpLRJigMCNAqMTgpGksudUKAg+wIQWP+QTdENhqYcq3NnoRSMtr8gntDUBQ3DS1xh6b9I5GIiJ4LnWELACA8/wr+r+7T6BTyk+y6AkN9YTIUoWmgOYhTZIqAXm8EtAUwyjQdDfBV4mLxZ1h4Ihe+Yc0AAAVhMfAXB+DbjgM6PCf5TMTu0SvgX8Yp6HV9M8lrjUx/M3ptaQe74lFeiz97nTIQBaKMOQAoOmMLnCl8FIAm124tLYO3ol7wZTzYXY3kHPkRZzuG/Awf1Sk0ygpB86th+ONiewBAutqc5VZoCEBAkBKhkYHwN0p3fkfSO0LQOt90LAgafOs3Bx0UF6wn5HqdET++vgkd/9gHGPS4XnxHvFlOGu6R6QPOp5TMFEk/VcVZJkFhtu9AvXsjMHrpIeTrbP+PfCea0BXkOPe7Lk8/TApRJ+5GJ5qhG/Um/PHVCZzc6eIJv8kIdYD4zqn5u3Urw/b/y8rT4Ps9l6HWOT4Al9wvyWW07fnlIv78+iT+WnpG8vk72h+nPv0Mbi78Etmffur023GV5e6wtQqlDIYgiYILCuhM5oEUaiUp8F5xEEXrVxxoK9Db/ZZbRIqCBFcPwgfSz/PUwVvIyy7CM5o1+Npf+p4zJk6E5uRJZL33P7tqWYJFAcoChPqYmxsVGs31Ed9xNwlGmEwCrt4uJZhY/H/b07QBboUF40hjxyNS2y0rHpXVi4G2IlGH2XJNRzWirCe5gTwc+XLnGfgU73stHQ2fyK2LH1PbIRiXZZYQfR6CydpJMQBEiC5Uy9uPmF3T0TL6o6tKynMOtu17++zgfq/Y+go9udM+E77QhYxBQRDwYn4ARhYEIEJ353Te7w4VzWgzeKkvTk+wjAYp7h5m1z7HNyxLo9Eb8ZRyF3b6T4L22mnsT7XtF0pm94tlvf2OuQ4y/wpjif1CqkyfbI76wi0p443/IPWpIRBuXQHW/RtFl04CAGrl2vqa9Lteoj/O3DRgy9vA9wNw7nSybXq+LdjnU1B6U+JrKbl20wSTgMsn5G+o3hT1iStu3irXrYWrVs8+iJ3Lz1mz743ivvMq0NVCWXZn2o7Thbt327apcE9GW25eruT1ndB/eaUSByYrEGjLyC0Cds4GTqwGrpbSt63OfE2QHL0NT8bWQE7xNcJ1oQYAIG3HPbhxLAKFl8y/hSBlrnXRUjPaLv4leRkQ4Pg3o83NxY83v8SvtxJwS99QtsxNva1FmfhOgF5QYP1HSUg/dlkaaCuNTg0U2prQH71yS9I1iIWp+HrzrMofBlFGW5q2A76/+R02nB4kXaCockYsvrsCbSWaWFRGp4+mIlFWWZFrgTaTTmeXkuxolEQACI0MwNNTOmHwax3wUDcTlNknrfMUDlIkfwoPxWc1a+DvENt2Lhy8bncCbLAG2oxokG3rJ80oKOGnV6Dv3rpoe9GWYmqCD6AtwOvqXIxU3QPf4rtLglYNUykjwBn8LOuwbb9XfCt06xsBddgJ+IkOnscCfdE8SH6UpsAQP+iKCq07GbUpAkGrngJmNYCiuONIXXGgrXFeJmrv/NNhnYIMtmyO/Cu2DCPVLfvU+4ASJ58ZPvbfMXWJoJhRZ7S7EDAaS9lhF2dICDcsdwYFFGml/WEogmw7GaUSsjuUIGU+hkTNwrGkldh+PU66CZP5vTUL2glTibp8frar5LWpuCmuv8H+5OfaSdeaBD6qPo5f/GZY7+KmnbyFPLUfTDVa4x9ph6GACY3zMvDZzs+xePMs+JXI5vB1MtBm+X6JM6rETQ0sVKL1O+rHydL/T1kXja5c7FmIA20GfdlZGef2Z+FScjZ2rpBv5upIQVERiiSjW5k/q/xbtv3G+BVHMGP9Kby3wT4D02LZO/skryV9fRV//ie2m4OAF49mw9ff1j+ZXmvElZO3sHHhcWnArjhDKv+v7S69J1dYumaz9tHmbEabAGiLA22+BjVyCszfJ01xRptapbMLtPlnie7cXdgEpUL6Hc65ocH2H8+gv2ErDhUMka9vURGQfhj4pLV1BCZLoC1QmY9Qpfm3WGiqBa0pWHLH3WQwYfqvJ/HIR9sdj6pYIlij8yl7dGYLyXG2EpuhXDx8AJnnbRe6RWo9wor/n/IZba43Czx76xxCm72H0BDzsVWh0eL2uRBsvtYMN7Uh0Kp3yyxl+/8rYQJ0tpPdewIyrMHm7T+cKVdWm1Grw4U6kcgNKj4GlJFdUaQzYvYfZ3EkrXJOMi0EQYDeqJecw2hlmoBpCvWSfaV4v5q9YIHsuhvfVxsd+8YCAHKybL/dqDjzDSFdKYMnlJR/SwPf4uN4c3Ul9G5djQjiUUed/GjOZomyLqp5nE18Pm7po81YYGvauSet7H5N5Wj1Rnzi/xVilTfwqd9CybzbhWWfNwgyQc+SARODTLAp18nBPlQbN0J75gzUe803rguLzC0bWl6xZaf5Oeov6vYlBGpsATmhQDQQzKXSj+mZ53PtpmVdypPcJBHLvioamEzj3us7S5JD8taruJVZIOmjzeSozyg3yBVlNOb+vMa2TVFQx1SBpBFxn63pkaEcDMFV4s+rAoG2yStFzZpN8t/vm0U3EWAwX39nh5hbLWwMNZ9/pgl1IP6JG2+azwEjfGzZnwHKUpqhl+guJTjM8XV6oamW9Xm6zn5APAAlBoeyVUwVUB9XL+nx65eXnA+0LegCzLFdo/rChIvZ9u9FW5zgo4E/Tt3zhHX66aLe0JmCkX6zjjRZUCYBxRPurkCbQfrlrYzIvUldiKMN6+B0dK0yM9p0BhN+OZKOrDwNDLdu4dyjj+HqhNckZRx13g4AYbUC4eOrRP2GCvh83QUNNr1snad0EGg7HGAOyOh8pUGj3788gZ8+OIhbGeYvszUbR9DgvhRbn10BeiXaXIpA3ZxAdDwXaZ2uFwJhzMtChq4dTPBDjevmExDDXx+V8gkooPe3rMP2a/Dz9wGMemiUCviJ/mVpvr6o4ZuJ+oEy/V8pNFj78RxcyTdfIBqEIORfTAMgIPTsz+ZpCj8oBRMWbv8EUd86zpbxEfXlVlB8ASAIAm5nlp2BkOSXAZPhBvTqJAgmleR9RfmdQd17iiAIwBXLHbq8DAiFt2BSltZUy3xgDIq1ZJmYcCR/gKQpqLhfB93Jo0BRLvIuB6Hgmvn781dwEE74+wOaXOTINPEM13+PFkHbEPnqKhQESg8eekF60X04RQdkHIbfAfvPUH3T+ZFk8tMDcXFjXWTsjYRKY/6tineKEQYjVt9OwMK/PzG/RcGIX357C70v74efUY/7b5xDQCkdvUsDbcUZbaG2z8knyD6YoBVloQU6GJmwME8Lo/YMtHkLYdQ7vkO74+g15LnY54/4IrOsjLbstHxs/7F8d9QLikoctIrvkIqDyQcvmy/MVx60jR4aqLQPSEnqLApUmgQT9q69KClrGaYcMPeZ9dv8Y7h8/CZ2rTRnfenSbJ+nISsLnmLNCLBmtDnuv0bcVM8o+MAA8z7U16BBaPFiliY1OVlqGEtc4PgWSYNbCruTdAEFt7VI07TD/oLnrFMNCnODepNCCWVwMPDtPwBVOrDZnNWgUZn38YGKfAQpVfCBeV91oGCEpD8sQTBieXFfhp9ttc9eNr9HI7SifoP8DUboSt6ockTcpKaSTtpzr2dh3UfvYcXb/7FO0/yZiX+rAhFhVMj20eZKc1HAPKL0wuRFUCgNCAw0n7zqs4y4ftR2PIQg972xffYZGWk4kSrKNj21FnUbmvfbqpsa1zNRAaRnpeNCVE3sadYAeqWizIEsvvzzPK78noaxn+91eVsVMW33NDy26jFJ862SN6sEQcCSN//Gkil/Y8G//8KCf/+Fha9sx8XfDsJUVIQb879yuP4mHetIXvf9d1u0frQ+ADhsgibnpuhivX2Rb4VGhNUatZh9YDa+PvZ1pbSg8LTyZLQ9Mf9vT1Wn0mVcz7U+t2S0nUmz9SUWWObQVFK3C3X4f/b+M0yO6lr/QH9V1WFyDhqNco4IkAgiZwxOGGfsc2xs44QDxn/ngG1sYxwwtkk2YDImI3IQAoFQzlkjzWhyTp27K98P1d1V1WFmBPhcn3vueh496qmc9t5rv+td7/r0Pza5tGVnCb1Uho/A678GJTZm6mjKcjHajMxgSbJfmFZVRF2y+NdENAjdmUBWO1IEa3JfFM8G2naMTOZfbcch67Y/5ddsX9lwpI4CebNSIAfLd/AwTateybu9k9H2TgIp+Syz7b75cJOL0fZuigeNZ1NM+3lF1q4FQPZI7xmjzcmA3jOt/t96L/+J1nP4IA/88Nt0Hdr/jvZ3tY93EZfpHXAWPckd2Nw9uBufbgFtimS1t7eTpIoOs57XfEUYQHt1GSHJ6p8qPLbf7BPiqIbIM10LORB0j5eZVl6ZWxsQ4ED8wvTv/fGLcm7j1IZz+kC64JhHxYbZGP4sm8Ofcu/snKvpqlUswWGSYKQL7DhNTVjL4qafQ+LCnNclm6X2H/9/Rtu/wTKd/v+BaPtIZzu9laW01VagyWMPmPdtaOPaR3fxo+/fTt9fb2HDgmtYO3q8q5OPK0N5908xbg7sf4R/lpe6EpIKlBH0eJD2YffANeVoMuLvdSPLbXuGGOwI82RSCy5VcVFK9FEWsxvgx9+Ywqye4qxrMfDSdshRxlu3fgd3rc17/ZalPklHZRV/EmgTBLyOmxpJdkYX1N3DzIrDzC+wo2PNm5+lt6WF1/ps+uqjwxZAIyrWvUpvq9z52o0Ygkj7VLvjGMuiYZXdazp55Pot6YiZofVgqJ1Z2+4Wu7ms9wmU8IPo8laUyCoU+tPrC8UgjTXWhLxt7xBGywb6rzmPB3/wetaxUmZ9C9azKZhSn1pKS+J0FNNmGg4MOh7U0cPI7R30bKqk881qOjwevl1fyxWNkzD13N+koQ9yfv0DCJOWII4ziG9s9cETX0QUDGo9zeiCHYFVAoGc+ww9fg17/vZJQnH7/EP7rbTncGch06P74NZTUTpsVuZ53iMUvxUDxR7NPKbBd3Y9zlf2PstvNtzJKa88mPc6XVG/5G8ni61r725uevNvLBixWXhOmYJc6QemYRIciKPGXgJTRo29mrVNyu5+8TCfvnNT3vUpCw3bFT+dgsZasD/fLgC8+a93VsVvqCvCYCyzmq91r30tbg2Dcl1gimYPG6qRDQg7UzZcaYSGMWbRAyfwMdQZ4cv3b2Pnxz9j7/9vrOCcTh1NF0PIBtGjQZn967qRZfv7U7DBbUGPU53EDUOFQ8SLLFAx00n3Ku6JhiBkjkPW9jsCX3EtVYFdx32DtWf9hS7/XHuF32o38oAF4HnEGPfpFzKnwNLy6JCPdzPaHL+d1ZZdputsnm1rSfo0nS/cOTFgxvz/gkZbaHDA9behaRC0vpe5qjRu6mimGbpBaCiefnd3vNnCkuteYSAgsqLjEk7utLQ+PBkBLJGxfYrJW25gttHN4VB1WuMz0G2Dz4GBYxcoj8dthzZc6HcBnZkVDAHkTYMsUT38VyRPyft/kz139DmUqHssCY+4n18sqOQEtjY/sJVdV/+CoerFWesa5lhAZ1mNuw+bcVwN/qRPlFmFdCyLZ6TqJd5FQYQ3Ot/goYMPccuuW2gOTKCa2n+4OYPFE51TyjkqVP5vtU/8dW36t5AMZv5r+z3pZf5jZDb9dc0RNh4dptqhu2QisHDV++CtP3D0jftypkhlWi7d48xiCKmK7F5JoKLIuvZgXKVlMELH8BgMbocuX4r1ooiWz18Q68c0k6LphhUkf6N/Nj3xcraNNKZ382j2pNiMuucwzurLmZaVBXDbqYQ6rGDEkrMas7YP9Nv3ka/Nv5PKo5lVVjXFcGm05Sr09J6YoXOS4PbrjtaWs2bxDI7WVaSXmYaJrL8z/cMszdZ/o97cf6I9+osfMtDawqPX/WBC25um6RpXnT7OsVRizrRqj+P95ZmXheQQfs3yOWWP9a13eK0xLmQW0aH56KoqZf+UWh6LHgdAjecoxxetYmXJ/YiCwc6RyTSHa3ipZ759Dzk+39KazDlBbovplTmXex1Amy448AXHySJtLeyIfpRt0U+imY65hMP/NsN9aAk3VPVRaR3TD/4j65xaPJlJgp9AnsI7Ub3SJnDkkB/6d9j/KaAts5rK/wijLWx/YLFkKdn+UIKzbr2JCx75CH1RG21e3zLEsqFmvv/mP+h9/k0SBdWES6e70kl8oeyyuilbdt5UAD65/1b+XFXJg2WlrvWv3/8bzv7DWkxHZzAUs5ztoeJsXROw6Neh4ThqIqmxliNiXxrPxfQRaDtoD2i+hExwMMZjvT/Je/2W55ZJLUkx2hQSgoDf4XMEBOvzLTT7uHT24ywusiNdmpJN4TexgDkpMYxpgqdbYXJ0mN6G02iZfVn+63JYKGjw9uNH0mw23VBQwo+gRB7HNGwntLX8ECOmO33P1IeY32rTgwvFAI0VFjOidc8Qu/70OE/4byekVZPL/EIEHBM5NTW454iUR0P2tYQKPXSte403Fk6ju6KEfo/1HIoSEr3kKdpgQiSh8eLeXqrH0S9SDRFGrepRH63+IU0VWyjy7wUgHszB+osHqNl/D8cNv8xtz9ipv84U1d8mfg2DB4mtt4Gzein/ZOn9bRYIsHDzq1z98A7ufrs1+5Zco4n1u/m5F1ix7XccDe/A85frWTjazp/f+lt6qyFHVZ9crIjeloB7smiEUCIv5IwwNmoiB3pDOSe/ALpu8PI/9vLATzby+A3bCA3FXZWttCP50yyiQdnFDoNs5zCfPfrrLewPuZ3WlIbdQHvYVbHvy+ECPh3xM9IbZagrgp78fo7f9Rf7OpPaWP1tITY+bTvR/bKD+ZPDZAfQFhyMc27TDZQF8wcW3ktLZYwaYxRD2PR0C2sfauL1zjmA1UN1+JJp1IkW1iyeTk2ghMYhk9k9JsHCVF/tfg8eI6MPzfpWTGJhBRN3RNFrwmjVQhBEDuhL7BWlk6DtbRK7XgBAEzQGzArOLLsLEY2APoWt/fb71R2gU10eoG0wGCNSaK/zqxq7j06soIdLI+x/KHXU6d+GR2Mcverr6b8n6+IxA21rH27igZ9uZH+y8vXvXjqErBnENg2wotuurOVXAu4dzbHv95fVFdzZfgLPdS/isfAMa5eIo498B6wnJwCd8HrSjIT+UIIVv16dTvVefaCfP68+TEH0f24iFQsptO4eRE76PiWK2ynP1MYb7c894R+tXMBG38XsW2Kz9K/681l84scn8aFvHY+mG3h8tjtbVO5DFAV8RVb/NFFGW0yNEctgOsrHkHaaaV1hm6EYkAPv+Dj/KSY7QF3pHUwqlf/lbJlELDszxO/ozvX4sQHl/Uk/7XzRrtZZ4kjBfPrNXcwbGPuZBUtn0DHl/KzlRgZgoiYDhV5JpKLQmtR2jsQ4/09vctYf3sjrlzgLYKBEMU0BVSjG0AbYMt2HHLgV04hmVSdM6Pb4VTBq+wGCs9IgqWrNuS0ly5E2UyeSTFubdUIt81a0oiVsnzqV3jmWPfrrMfSv8piWIf+gSPH3rhhCqAe23sW2w118+5Gd9AYdz0ONZ6VbH5pcY63y2KynuJbg1IdO5dW2/IHefKZnjNG9ndnPsHX3YLqgxP9Wy8conkhxqJS9dqCf437xKhfe9CZKyr92Pb93DrRVeBOMpKRi8mSgKbqSTh2VPXFqAj6GDB8qluZ4RVQk5PDbTNPyjU4vu48TS54GIOKQQjJNCLYX0PTkJMLdbl+wsnZiciFOhli1p42ANgnN9OJ8FjGPU+LJbktyX1v6t+4oTuhMKe37+U85sir7+k5p+Ss8eRV0bMY0TQ5v7WN4wHqXcXyE82QsPDL8F27rf5peZQHEs4sE/jvs/xbQpr57oG343nvp/fl1E0oDGIrI3P3ynvTf0WTq6h1vHma05B765WYePvRwen1VkY/jhqzoti7Z0ebRDvtj0HMwSADqPEeYipuiv7aokKggsE8rRdEl5jU/yicGVyE4rl3SrY+7uzy/plOwP46SYm8JE4+aHNppDxhadykP/mxTumJmbhMgCYY5J58en4Spq8gI1I0U88qSmbRXlzGaZLRpagJMnUneJj5c+XM+e/1K3ALU9v02xc8iGC7BNCBcMoV9i66kad6nJ3xP0ai78ymO2ywj07Q7R8UXxOvLBi99qg0+FopBphY3UeiXwYRtyrlZ24uOKNXnar/EKRt/nP47mE6FzpEW5dADHCkpZFVsMXGfl93T64mZAkUJiU+8PoWnmk/MeZ8mAoZp8PWHdjBtcOLvXBJ0RoRCEqL1zBPhHE7UiM3gWL2nLf1bMQoIlM3CRKAwHEdXBOKG7bwNjbqrteYyVfTwwp5ern8+W0csV+powaMPUBbp5HM77sUMB9JrC4Q+Foy006EOsPhM67xqQqfzkLtjjgSyn42hNnHh5wv40LePdy1fpIj8dd3f6W7NrYvVtnuIlh02kD7YGXalf2Q6RCnrOTLKvT/ITs9xapR0N43y2r0HstLl0m0jR/piymIhBVnTKXQ8vr6eMIe3WEECXT1Kd/EopqEkr9Pa8K1/NaE5+lyn453LEhl6TSPDV6OLY+/zbswJUJh4kSURPQW0qdkT/p6kMHNELaC74XSGqxazq/Szyc1fRJdERK2WP9+pc8N9Ot5gyjF1t0+v6Y6oC1nt18ypL+NxOC4yBbZjosYx7vkgm7vOBEARDEYowy/G0tWEnX2gs5hFeWHu53sgo6qTxzC5Tbo5zYoYy5wSDf9jwsqOSf/u19oZ3W2zh+arEkqOYEE82RY8ZdljeapKsFPrcGq4nxuf2+zazp9w9wdmrqqjzss0DTTFchh3xGoJiiJFjsjvO0l3cmo3JryeNCPhzreOMhpT+ed6K+hw1f3b+MuaI8TfI4aRHggQ3bQ5S0fWaU/9YTsv3r6X7Wut91Equ4G2SLd70h0cmFiVY79Xx1fooXZaKSpw9h/W8sX7bO1Dj9dybY+F0fbE2y9w1e+vYU/XPtfyY2HDOU3VVf6yww5AxHL0Kf/bbCho9wsTmYYddejoVCZCyJoxoT7kP9W8TmmKZDsrdLAtBqP7MncZ01LgVq0QyLnel5jDsvDYk/d9i7+E7smeF6QE+lN9v5pmtImUJxltTp3GzS8+x5412WmZGzbsZddxV6N4SzHjIRSzEMMIooQfRPFaX4EpN9Gw7RWUiP1VpIJWB4J13Le1hiMhCyCTlBCqIXIwWEtc9+AVbV91YeFqpnq3MaPW8p1jYcUuNGCaGAYEVCuTwzSC7Fn9NFp8HQtWWmlwEw0ummp+QG7DU808cv0WV7tPZfSkbFdgB/sG7VTDd8Vou/tieOG77Lv/Ozyzq4endjjmDWp8QrGXiBJBMzW+++Z3x93WNE22tY2k9flUzQ1mvvSc2z8JDcd58fa9PPWH7f9r09+7u8Oce8Mb/OipvWNu1/vLXzL4t1vyrv/jq02EZY2jQ1H6gtY39E58nGd39/CvLW6ZmYHSNzh7+hTWFxbk9D8BZE3Br1uMtoqgygc2NPC+TQ0c9vlQ8fBq2K2ffceRU1zfzzNdC9k5agdd47qHno1VmLpI17pq8Fmg2dMlxdw4uIYFpeuO6b6GtRk8NHQ79wzex+6YVXjg5JJ/UeDQnDMcabGqY07gYrTJYdj8D1j1dQKvWsD44B43kA/A3sfgnxfR8q+XWX33AV59w2K8JwwfhjJ2m1wf/rxVdXQMmZj3yv7PAG2aobm0dayFx+5ADfzuRgKPPUZ82/ilaO96ZTfFsu2ox5ID84C2K72swAGoVRb7WDjSji56OTLnY+nlo+2jmHufhHAfhpl7YlQiDZN4+PMYzWv58EaDW27TkCMefi1N4ZUjx3Nf11Ke6FhKfcTNSvBoliOqixplJ7lT08prLeQ8EVNRkow2g4mCLvmcg/zPfFrHagQh9UnanZfXLxKOxdBVkaN19eiSyP4ptcSjVofjRwVDQxBgin8v5bWF6I7JXmH85vQA8VrwOzw+cCOGKrJ1xY8YqFuR93om9dmTKo8awaNmU84l3UFVF+yGvag5xHEDg1nbexX7GEVSAGH/k9Rhdf6qpyRre8EBOAqCgtewn39Qy2b/pay7O3+ackCQ0oUrZDU3o8XE1mIzJqp6nLQRs5RocuKbyMWeGLaBtiIHOLlz7tXsOPG79NetoOWFeno2VZLQ7WhJTKx1HWa0fA6t0y/FEOxuLOgv4ePSWi4VN2VV1HILxpqUhdooiViMg6ESPyOFdhrgfS/9kV9vup1/vPZbzr7Cplg/e/Mu1zGVuJ4uHOG0RCTE1IVVXH3HeXz99nPRyz0IgohZuYzIbbl1CrUMZ+47j+5ie6v9DWk5qgmqis7Tf9qZtRxIt1mAVX/eSdOmPtY96gbUVTl1zPxA22O/3Upr0yh1uuM5x1XkPstRUCOr6Kwpw0hY16GrBpFRmYH2cAZbK/s7bZhTztRFVnGQaA7QcrDm+Jz39l6YM1IvILBuwTTUFLXt0PNZZe6dhRua5l9B+zRbm0LUswGSorT+QybQ5nbys4SsHY9phn8LS/3P5bz+kF7PzuiH6QxMoUO2AfOYAGHT+pYrPSlGjf1+O4ejzFFEJBOUfFWjRfdyQ4CVwkFCMfc7SqhW9e4bXjzIvUlAh4zq3kpXbrb0e2lO1pGhKyh+N3vS15s9sUqErT4yNE7lu5TNCmYD5AVyhsbHOBOR6f32eG8K0OuROKvMToE4Vt04cAPwca+UdvxFAb67/V98Y9eTrgmS6vj9biZOO/77Wp770ya6H3neOndY4eV/7KPjgA2eBQetvrF1l7WsRK5EVw4jB+/G0PoIt7glFzKBxkVn5g6ueBzf57b2EboDcd5osvtKyWP1VbFdWzH0UZT4+JOh/gcLOa3zU0S3ubeNjVH1cSzbN+wGXaJjVTL+X2KBmENrawLfzgt7LH/zE82v8fDLv+IrLc8Qy8Eu/d9iXgdzKcUc1SM2k3wkehT5GKr+poC2unxAm5E/vTvVdg3JS65gq6FrfPn+bVx263o03UgDbR5JoCIZYDnUZzFHCvQEGx/4B6v/8TdUxe7jNVVn73MaI1WL6Gk4DT0YYLCtBlN3zxVmtzxBZbCZHUftbAxZE9n8Zh0v9czHQOTZ7kU8kxRuf7N/Ji/2LODZrkWuIgp15vO0Dr7BrNo3EEUTTEd6eXSIBzreRzx4HwJxvH77nqctdGfvjGebf/ELIqPusWzbi2289chhdr7awXB3hOYdthxBpm9miDq681t4N0BbsjjbueIuwB0IUxLR3AJ8GXYsHvprBwf42B0b+fCtVnB2PO1VJ6vw0EATneFsmZxjMcMw+dQ/NvKl+7b+jwB34ZEEq67fyoc7zCxwK9MC/3qEoVtvzStTEnb41IlkO5dbWtjXWMP2GZOyWKS5zDBMvvWvnfzoqb1WpdGktRbuRDBNfldVmRf8keMp7WqNc3dYc7jyqJe1ZgUmUJjQ6KixfZ+Y7kMxkoQUQ6A5XOO+n8z5n8/yG39eW82jgX2Eqo66Vpumjq40YRpjB40Uw047lVAQXe/ZwWgz7Tmv7sQ25DC89D3Y9ZC9KOjN61613v1M+nfLnjnMf6mXynGKx3nE5LsK5SkI9h7a/xmgbU37GpR4nIMN1enqXO8m2n6ocye37brN1dlmWusLDyM5Us+05LYR4QgndVzKJ7d+BJrt1IJaJcIJg0don3YRwZI6tPgmTCPC7jc7+edtIrt/dS1GnlS/cmE7/2g+iWfuvJfPrDWoC8LP7oKavTMACMVyD0Qe3T5eNANQqZpsDYpyTEszLEzepU7SGIy2muH92HFSI90Je3wSciLh0uYCkIIObTjNHjRjj/6eeJPt5AZkE13Z49wVXRn/05/SbdNdZUbwJNwN0jQ1DN0ejI3kvZl6iKixF18OKr5HtSmxRfEBTBOKxdyCjKYRRkmsx9AtZoyG6dDikFC0VMdkZvw/NtAWLJ/NwvYc0QGHjSpF3H70dERTRxeOrZsoDY8QlS3nU45nOyBmxHbSSoQ4sUEfzc/VMVpuAVoHFn0egEhPAarD0YwW1buOs/OE79A68/0M1C63t/H5+YP3H9zm+yvdw25g1DkxmNL1Bit2/CGtP9cQjtEYCgCQ8EgMlVbw5sLpHGqoThdmyGVKXMPQs1PqnIULBEFArrKiNb0Np1Hc8lrOY4mejOcsG/xltV3cIBLOfpbxMaoU2iCabR0H3AycNECRmb6Y8feav+2hyOHwjQZk4gMZmnGG9R1risFjv7WiUCZjA21en0TVJKsdv/14tlZLtLgeXfQwUrkAQxDzprekrG3vELd972WuuePzxA6/lHc7U9No/cjlrmWKRyLu7F+bXnStVxPuvsvJThUdTIf1cxt5a/5UBDWZ9prxLM2M52Bkucn29qXSIKX7c7MkHh66hQ3hz/Ns1zdRzAIMrQfTCDFsViMkz+ERUt+HQxdDnM5HYn7OiXvzTgrlcnfJdlMQME2IBO3vpy+Y4LhfvMrH7tjI3986yi+eO0AgpmRJNLRccAHaaEYfN3QENvztmKKJiabD6JHcYIVbV0tH9mWkKedgCEbarXY7q2fslNgUAJyQfIxULnCtK4q5teES40x5Jo24gbaQKFLjbeOyaksfZqz2nGlDEZm9XUE0R1+jSVIa6CwZGeCCzu28v20j0Yj9nJ3ztthgkG33P0lgdILVvxy2peEKhquX8uZbCqZp8s/vvU3LjgGe++tuTMOkv80GIDQhWRFXK0aNPo9pBFEizyDrbn8mE2gsqs4NNBimwBuHBti5ZhNFHXbgxjQNtMRONLUfbXiYp+75A0roHlR5eMxUYadJuH2l9oMjtOwcyLN1tgVjKl2jMVfaKEBU+98PtDmL20xkjtwdiCOhc+U+q6r7ZXvXsbYpOwD5v8W8hkZzXQW7p9al+zk9Gqa7ooS9U2ooVMM8uX3igYXUZL2WQM71BXl8Q4BQsk2b4HoZlQXWZFnTdF490M/uriCH+sKu1NHKYssf2dtt+ZYeh1/uZNE7wShd8jP0zGZ6Dkwic+qoixYve4NnXnrZ6EAhZb3u9v3TWguI2xuwCnl1xcrTYxXAK73T0UyJF9cPUBJoA7BTFtUoQ/EomBGmlCSBuKRFX7k673PKZduHL+Kp7z6N2m/5MLpmsPnZo+xdm7sYTaYv5dX8lDkqEr8XGm0aKUDEwT6PRTBN0ESB7soSVDGfLz4xqM00TZ7b3UOVLrCwU6WraRRVm/ic7ourvsKlT13qAsgissbvXjrEvu6JpZZue7uL0KEgrx0cmFAxjndrPUcCAPiSz2gi4J4eyl092Bm8T8lRxLbvoKOmnP7yYkeWUX5zBhr6ggk+ccdGTv7Na1RETP7+V50L1grokSF47Zcw4C5upsYNTFNGUXe7lif2zOdw6SA1cvZ1y0mgLaZns16f715IIpmC3F5dxr37phPRbMArNKWXs8r+zseqv0el1IWe2IIafYHS+E2cte5aqofHLyDhERQEZ/tw+MMJwwG0OYoOZmqnpVSFwl0FbB1upCVc5VovOhhzL9f9gc0n/5YpiQCmEUNX23K+8+KCVOWyHggcexGqY7H/M0Bbb7SXnQd301pXwYZ5U6yFxwi0OaMWf9v+F27ffTuPNj2ac9tDfSHqNbe+UKozFgyD5d0XU6mdw6nX22COZ3iALTMbaC0Pock70BIbkIN3EQx7SZjlvB3+EkIG0Da3YB3nlf2N9sAgquHhaJt9zrgvj/6Ww0TDZml0TG5L/z79A3X4k0Lxcky1U0eZ2ESgUm3LvcLM3xHtnxrPqLZiIHoE/EUedE1FiLrZfL5oISNyEjl3TNjar7sHNeKOVmmxNa6/Q6rNjsrX8ZaFLeF2Q+tBjTxBQHvetV6NPMsotj6EOLw5uX3+Rnuwzv7m4mtGGD5YQrHoTp+Rkvn5SmQVqroHNWqdN2aK6CkwVPAgq9bzsMEMp9h//uc8OiU7RTWXFaoxGhJ9ORlt+2bmHlRH9VJWDm6kZMjKm1fiatZk2qnz8hG9hecGf8rOymlJbTPrHkYq5qN6CokE7UlPoGIOsq+MzsazaZr7ifTyREFF+nejOIQc8tCzqYKhfTa4qsQ1Rr02UBfyq2mnxcDqyL2GTn9ZEa8vnsGhyZZD2FpXwR1Pv0VLcW4hayWuYerZlVW1jIhYYKo1iOiSn7aC03N+c5ki4IWm4HKAt+8qcjNTdIP9rfkdcSUHuJCIqCSiKq17htj6QitNHdZ7NLOYptnX53csCoZlEorPrUWXvLb+w30O7aXsdF3X9UTVNKCfy3SpgO0nfJddy75J36RTsxhVmfbCrXswwz7m7vpvnnr+KqJ5QFK1uxu1MzsyqzoTorqtQjAMNcML3yWRUf1NSdLsp7W/iOzoa4NFBUQKfAhyCojLBDHd7cnMiljbD7pEHEIbtfcvCx6lNGQXlDC0fkwjzGCiCCX8CHLwLtYzk/WGRaFPp6U6UoOHCy1A+0TFg6JkpxJHAzKx6mWu5YYggCEQCdnf28NbOlB0g+3t9rK1TYP2BNRxW/HWNq59bFe62im3rIBXfwpv38xELLp5C60f/jCHV6wg+Nzzbt0gYP+GtvTv3WvaCZTPdq03M9IIdN1gdMR6JlO636K+bwumaaBEnkGNvena9rHfWn18ga6wa9k308uX7PsHHt3NlNP0iU14wAJcv6F/CYBK0ZrwRUMK2gQYPyNRhTNufJ0P3vI2YYdulC4K6QCizxF86h4apLh4LwgJPFjfjRJ5nre/82Pk2x/gsS/+cMzzJQ4eZPTRx9AGBzn4xW/T8s3vQTIAE6CK275m60eapsbzt+3iid/ZrH/dlPn+YwaLuhc5HkAUWXW7oHKmPpovd/tNKCJX37mOgquvpOjqK5GSQUxDbUWLv8Fg851E1r6Jlqyca2idNG+3nnF4JEHrnqF0X6rENfau7UJL7ESJrMqStzjwRjcv/30fgx0TAyNP/u1rnHHjGzQNtVEeMfnVQ1Vcss1/zKmjceXY/NP/CesM2n2PaupEA/nHH7CAto9Jb7mW/fbZ3Tm33dq3la+u/iqtwWx91ffSgs89R/uVV2aD/+OZJvN+NnK4oZruqlKGEhZwKshxdk+vp7O6nEYlxJbWiVdaH0qyamuE3BP7whyp6Cmm+of/vDa5RCQ1ZtQLEg2lVnq25gh46IaZZrRdFnuCr+67gmqCOcFSJyvHyeRSvCUo/WFUTzHZQJvIpjmNLv1nSc7uCytDXpr7yjAc+5dLvTT69jDbv8G1bVmoDYCRdut56o6Kt1NLm1EcfuQPi8eoEm6qLj/FNCKosbcISj4G/2bp8eZi0zuLX2kZQNvU0Tp0n53p8I6Btk57/pAC2pyV7qORMKYpsG32bHZPq2fX9LErRY5luqZx//e/Sc3mhzlZ9rBU8fDMn3ei5ACHtr7Qyup/7scwTFoH2zHULgxtkDNaP0ZFvI6II8h406uHuePNFj7wt7fHvQYlobH14SO8P+ajXBfoCeZ+b5qhMRR/b/R5TQdweWrCw8bnx+9f9BxF3EzTZGZXE8cPWFkhqSIviXa7TxyLeJOymAOse253D1vaRhgIy3x4k0FFDC7aDtqGOxl8YxXmrae4QHQlpqOEHsaMvpl13PNfaeOkjpGs5algVlTLzoYLqIU0NVSjCwL7p9QyHPfzV+3z6fWhokoS8b281lXCpRU/pUC3WJBDShEeXWbZ3tuorh6bEfkv/eyMJfb97Ixelv6tORltQZt52FVZwitLZ9FXXkxHqIK3BmaxqssuimTooHmyCzeIUhlqfC1q5Cm0eLa+teFJzjvCffQfOXbdxmOx/zNAW0yNEQy7wYFjZbQ5S5t//0mDz7yus7E3dyW24WCUBaKbppoawMSEPQDpngKMRDLXOzjMUFkRMj2YWirKbmAadiRUldxMpNKOQywseh2PI21xqKSQPVNqifrH1zcSDXuC2Brr5eoZn+fr9R/h+FN8FCSFhLsP7aJ1+32YRnwcjTXbpDwpouYYQN1jZ5o4P8kPrniJT1w+iCfeT3B4mJrD7slT5UgJ9xxdQfueSnAg+boguAQhc1m3PBs5eDdq7E2U8AMo4afSjndBfIg5zU8BIOoKumKDLIZud2SG1uY65pzhzXSH1uNP9JHPgkUSZcEdzG96CMlQGNxTxoIid5XRmW0vYOohTN2K/KZo+jdWVLkYbT0pNkC6I3akBI2Roqs9uCPvukwr1qI5K1odmZKjctOHbmH/hY84Figomg/a3PphciJKuKuAwb2lDAY/yWDlEjqqCzHUJswkQ3DX8d/i7dNuZLDIIfouiByZeTH7G4ppry5Hi2/BNBU8WoLhyoUk/BX4YwpHX6wj2FZE8Z9uSO+69YVWIh6b5TJcpLJ5jpWW9Pb8qby+aAZHayvYPrMh67ZO3/kzbii+Lv23ExBTEnq66pbTRl98kdhOO6XTiIfxaJZjuK/iU6x/vDlr4qZkMKaKDQGfAzAdHBR54nfb0JMO8/ce383Guw9mnTsV3HQezykU3rx7kBdv28OW51r5yz27rIVZgvwGegbYdmHcjjiFwypxxQeO4ihiEsyRN9xr75SjKITzuKYJ9TPzsyu7ppxLpNRiVwXLZhEITJwVkhAEnt6cW3syvie3VofmBL3evom3H/0T3Hsp2uZ7UWX381B81nXHxNwTKzMdoctgtJkQkyrZpZ5AQpfQM8AZJ+OtVBpyResqA03pdEVDH0UJP4QcvJNtIVubY6/PQFMkfjb8BQ72N2Oaegaz0P79nZar0+OP0tHB4dPOoP3Oh7KYx6YA8WEv8bA9OVVy6OE8uKmdG57bR3eF5Rz1llvOzO7eCE/t6ObHT+9Np8aYJoQOj1+FFyD0os0u7Pne9wg8/kT679bdgww0OyeqOr2TT0+ew/omBce1jvREuf/HG9A9hXiVMKXhDma3PoOp92GoLejydteYGwspXBjz0iBUuK6pbmg3hgAdVfb3K+aYuOaz8qhJwJ9gyCynUAwieqxUqdDg+ILeR/rDJJL9UEK2vw9dFNIBRI+DffTY6sf5evfJvM84TFH8CEr4IQz1MIfVUXYt+xYVwizGstaPXE7fddex+8LLWStewluB43NuZ5oacugejmy4xa0LeNhkoHgWQjhjLMgA2jJ1Gh9pvi/9e+XGn7Fsz62Iusy02gC1cftbLEjqDJmmPfke6HFWODYZThYwevx323jxtj1pPczV9xzgrUcOo8XfwFCPoitWn1o14tb5dPbXTRvf5pU7/pIVUDFNMz0B2z/YyqXb6+ma/i0WBK7lj9v+yE3bb8p8ZDlt1c5uFv78ZZ7a8d5F2vMFFFVdnRAIGFNjhBwi1cOawh1f+S8iI/mBpZ5AnCWCe2J7ZpV9DG10lMCqVRixGL/d/FvW96znQ6s+NO61gAWQdh4YwdANEtHIhMGOnu99n9jGTRy8/kbX8oHYAFevuZq3ut7KuZ+x7R6+gh1sTYmoiw4tL8EQGT0Gls5gMiBcmJRkGaQCgFBnAYdX1VORo/jC7jVWgGg4kPTBBEj16YUCSMkAoupgpsUUPQ20XRG8i+LRNr4u2elWTokSwwHQqY4iAKnxTvMWkRmI00WBQLGbfWrm8Bs//PZkVg+4WcGCYHJZ1XUUTf6ba7lPsb6TxC6LmS47guceLYDcY/s+shQk5M/+DhvnFSIH70SNWOOFXx5Fib6ILm9DjTyJGbP8l1xAWyJiMXWfv+5RVt203X3NYg0jlXbl7/FSR03TZPeaTvat3cEj132f7qaD1gB49wXpbfQk0OYs3BOJhDlQcSYjRdbzHizLE5R0+C1GrhKSQO/hQwx1tFHce5DjDTsbQc4BtG15rpXDW/rpPDDCza/fiBJ5DCX8ANMDi/nY7u+5QLC93YEx791p4WH7e56qifQGco91X139Vc597Fw2dO7m2sd2sb/n2AsxhEcSHNzQi+bw189MeNn5Qhu3vnqYjS35+y09mH0+OSHz04138Ystd3PCwGESisbgLbcy+uyz6W0yv4NfPLufK+7c5NKljDnAa6dGYpHjE9zRdwqP9F/LlsjHMUZtHEFLGJhG7gBBW/UMDjTWZi2XjRTQllvfvbuqlD1T7f38rYeoCVjbvjFo8tbALPoSpRwIlOMRst9X0XFeDsXya1PuZjoh0znO289iWJuJaSTQlSMoTv35UXvs3jOtHgSBHTMmEXNoNqeGs3hMSoL/GeYpwVAsRqAu78paPTooWcfo30tz97+XZf1/BmiLaBG8os1WGCwtdFdHy2OaovDUDdex/YVn3GWugQ9vNumP9ufcLzbSk8VUSDPaEg4xQG8xcrOV+mDKTnTf0XFq2VT0aR2vMqlvM2UH96BGRRDsgW/L7Ml0VZexddb44vFORlt7YAD8ZZautBLGnxRMPbLxLgy1GTl4O3UDE2O0GRmTS0MbQItvTutZCWJF1j6xAkcxBKCu4z78676M+cBldDa1ZG2fspbuGrbLKr+tqiQoioyU5Ne1SNmuxBRMI2hNqvQhDK0NNfoiM1ueprbtZsqG3ybq87Bo3y3osh2ZV0L35z1m86Qq6mNbaOxak3cbgMq+t2jstaJ3WinIGdotjT3rIPSsa9mw9igH5HIb9BIkfGnarclF5X/ANaGfICA6ns2JHM0JtJ3Ykg0eUDqJuOHoCI0YslkEiYBrW0OJ0/V2FUP7U2w157EcqSmiRKZ1FvdiqE1o8dfREm+jxd5itHI+O5d8hrWLl3Ckyo4yertsxtJIb4xMwCNU6Ef2SEQKfKgeiabJuau9TtvWhwd7gHFWsJNjKuQA2iJHDtP5la9yYN0b3PXNL1LetROPYzKz+/VOHvvtVgY77UlHvNcdwZusi3hd71FjoD3MkS1Wn7NqVw/+jJQBVZQpnmH1BSltjdG+aLoSKMC2zXYKdG1ady2zLzQ4pSm3lhxALJIgoXhdWg2pth0fdjoC2doMO/waDRdMxl/k4cxPzqO6sYTSqvxt1tADGPoouuglGHCDk6aqWmyn7Vt47qYbMHW7LZUNC4g50rXCO7bR873v5TyX2l9Ax4apaLL1XM44+CtiR0fZv2pW6iYpjlj9seIrQ1ea6SrJPUhLhox6yXrO4mb3NQPPd8xmTXMJf2+/mKbn6zP2dDDapCF8ShgxWe69vn97WlfQDsa4bWZ0P4+9eB0VA0cIaiIzm27F/X7tb+Ht5m+y8YNfwHj0C/Te+AeM0REGn3k1SyLAEAS6N1Sh9NsT/1xpp9vaRxkJWQwPBIGdM6wUIdFxTze/ZqUIr+mfzZ2v6zx5w3VsevIRDEOnddd2EpEcIH4GSBBevZrQq6+y6ZkWXrx9r/v+HOw9U7eCHpUhW4rg+Vt2p9tGYWIYAROvGnUVs8lkJR+veJhavMi1LObzsHVmA/umOp3biTPaZgyYlFS8ykjxTAQBij1W+w9MoCDASJJdWR8ZQRiy+w1dFDENA1PXKRm2Az6e/ZYA8tz2XZjRF9LLlWRxo8HaEyZ0zU1TF6BoTcSKswMSgMXuNcKYej+mYYOfhtoKgomZ4cvEM4ILzvTOffXrOKTaQaFCeYTqkQOcuf77lBa08bVDD6MLVuLZT3bdwq3rfkH5AjuY0tZv68uY2gChoWT/lEzPbdpsPZ+2PRnMCVNj9uH70SKvYTjYys70sedv/h373ljN3jUvu3aNKjqn9exl4XAbI4kefHItSugeIp4RLtxSS9PDz9qAl2EQWfUjttx5PbGQe2J3zaO7ALj2sdzsr4lYaCjO7jWdqMP9yDeey5GTVzB8992ubQzT4BPPf4LLn718XLCtN9qLkEMvau/2/GyAkahCg+5+vp+964Y0m6zzK1+l94c/ov+G31HVlOCEw9b7UzM0Lw/3h2keiKAqevo9vHjHHp796y5e+ftT3PqFT/HNn76PnnAPzaPNhHJUnc+67n2voTqCGDdtv4m3ut7i6jW50xD1jq0c1u2ARqqomJO5JZozGY1NzEdWdYORqIKEjjcpMRNMgvnd66vQExLR/uwJpByTMU0Tr2mNhZbGp3UtYaoRpGQKoq4zSxXxGQajI6Pp1NHdfZO4teU0Jm/qpDwJnIqOMSEat/2ZaJ89v0kBbaqnMCtjQvZmZ88oHomR4uxxPeZ1B8G3DjfSHy/m+2WTXMu9Sb/44OhyNFUnGnR8n0oY9cWfpP+cPGzy1ix3dpHfZ/KC5w9gJjC0LkwjQUm4CzPZt5uG3eZyFbUK7j1C6EAL7f21mMmpsqQlMI0wcvhRDMUG+nJVmXda16FR3n78CK/ccQPdhw7w2C9/BCNW/6Qa1vPQkudwAm2xWISuslPGPDaAKXg4e/ccKkIFLraZaxvHGFyH7aPJYxBOQgMRlnQutY9hmnhMHz39E0+ld+xM6OXb0n9OVwx6Qxl6tck2tTmpj/3bdffy1I5u3v/X3Gy5fFpqYOkSv37/QXatbs9ad9trR/j0nRlBPoeP0fXNb2XtExkOsHluA2sWz+Dk/n2YWzYxdMstrowfxdFvmabJvRva2NAyzJY2m6ARdWjw9Tg02godn+Dm4ako4UfZODQd1ZHWqI8RgzPypBXHk0y2WB6gDaC30i2XsOJQJYIJRxw+3irtdORwdjs3o0G+uvXveY9tFh1FdPmfGQHr6DOo0efYN+q4hkD2OwMY8tr3eKTXkgzq172o3vxZMU5bN/NxDMl6R2pYIjHihfV/4ZRDN46z57uz/zNAWyARwCvZE/etsyZDZnGEHHZw/Vpad21n7f13cqQrm5ap6LkH1cRwZ1bylZ5syKIioStHkUP3M1xSjh4MAGAm7FZkGmHH72x0fWrXGyw6dD+iadC2qRpVm1gp3kyTDIlLthpMHTTR4wFkMfmxy2HK67LpmBO1hBBjsnc/SwpfosbTghJ+EC2xHj1ZiluQqvEZ5Vn7WcUQrI6rXfSycsZUvisMM3w4d8MD2DljEmsPLOdFqZLfVlcSHIfNBhAQpmQtM9QmFHUnRyZVsWHeFN5cOJ1t07K2GvO4mt+00zvzmBCzHAZFElkzcyb3ty5HVzswjTCGPkrMC5LsnpAUh7s5Z9fkdKcu4MGnW0CbaKpMLtroZg+NkTp6LDY70Zrzfs7Y534Of246nT9dfwt7br/eXmhECekNKBG3A68nKf/pipITudbkvZkZemi62spgzTLUyCoMvZdDdQ7dDq8/zboRJYFc727N4hnjnjraW0Csz4s3WR3QyRTrGYpimtl9QFttBfFYlJdu+RPBgX78R97GkLIHusd+Y7WHdY8dZttblvNTXxLD0PqpVYapcAruJgGENfcdpHn7Vs52DEaqKPPG7Id4bNnv2B6xnJTOux6k99a/8/Av3JUS5X67nylNif9nAG2SFqest4PJ5q6cz8R7OIaielyTadXsxzR1DsfPcGzpBEBM+iWDdQUazCrhi386k4bZVh/g8UvoymE0eQ/Tl1Y7dtFRQv9ECd1Df90yuu9xl68fuPlm9n3lKp76/a84vHk9Rmxtel1Fp8QZR7LBwp13/SHnPQGEShrYUvRZ3uj+In2KFbEe2FOWjph5tDhSshKwJnpQo8/mPZZgmiTiG6jBrT23WyyjM2T1rZocRsgBZKds14W34NETnLT9d5y28SeUxHqpGbJSol0VLh2A7Ec7n0f22ONBYaLf1TeYRhxdOYRpqkSKG9k1+0u03fwmsX3WpF7xV6TbZJorm7xGo9UGLzIZbR+T3uQp389ZYbp1RQCE5iP87Y0/c3bXTg71hdFML7uTVYTbdm1n/WMP8uhNv+CpG67jvuuuzfs8wNJQHN2+je5vfZvtL6XagPP7dTBM9DYAfDrc9rU36HzyHltcG+s7B5AMldKArTcyntivacRZu3A6w6VF7uXOP8SxdTBFE269TeeAuJStw41UYF1rqoBAPgutXk3Nj79BY3iA647soL/OLoQRLplEYFih5wc/ZNk9f0wvl1KunpkBPDukGnoOj/DYb7fSvt8d6TcNg3CBD12A3qJetNhqTCOCEnkeJfxkul9SCoPMO93WXEmBnJCfYR2P9lgssJjKQHuIvqNBTFPl6TkP8fasJxgs6UQMP8Ky3TbbRTI0DrXspru2iFeOm8VLy2ZTH4syazhCaNBOxQoEbZBAV/YS6A9bgZGkNbcG2L/OGmddE2XBQ1fpKAOlGkrYZmiHR7NnOZFRt084fKCJn225j5vW3UJB8wCCZk161djLNA4VMa+rhOFoEnjq2MDTT21k3WubeemWPwGwuzPAD5/cA6aJf6xZVYaZioLa3Y02OEjvkSY2PfkIT/5+C28/foTXbl1F+1th2spOovdPN7v2G0mM0BxopjvczRud2ek1KXu17VUue+YyTH928aiX99rMv0B/jCNb+zFNE9M0CSU0Jr816Koe7YsnCD5lZQwk9lh9WfCFF1i0XWJZcwUrDnk4PNKU3j4qa1z057e46E9v8sBPNvDI9ZsxDJPupgAAB968F4BZLT5+/9CP+ek//sTHHx+/knyhEWVnn81sHg73c9oBg4pIbuaf4q9io/l5e4FhMNwTwWucml5UOaLwvtceSP+ta2ruwAEwHFE4UTjMPzzWux9MFPHa0cku/aHe2pXJX/YYYRo6cVWnsHgfmuRH9xSS6nmCnqlIyXlOQC7io1E/X+15koN/vIbEkBVge210LqYgcKCmirte+x0l5a9RNMkGqXYlUzWNeJyeH/zMvv8Uo81TlNWe4zmAtpjPw6Y5jVnLM+2tgVk83HY85+1wC7UrQghdtYKle9d28fxD9jxIlENppg7AV14yOWfbCHLwXgx9hMk9b7Ni9gZ6Y7YfPf3oQxTI7vbaFLHmWc4xIWUjm3fT+unPupaVhlpQY29gat2ueVmKRNG8fYB/fm8dnQfd50kfP5kBYOgatz34Cqsj/80/Bh6hX5mbZrTJjnF1KDxELhmPTDMFkZndKh/cOJWwMn6Ku+Ko8Kgo7vHG2RcOv/IG5QnnOGb19TseDqSX+I0Ev5fu4MOGBYaF164l0ZQjk2C4hdAhO3CwSC8g3GG3jfZgO5/98wXccuMXSSVo9QTscbh1yD12RTdupGn5CkYfcQOs+4f287mXPkcoOY4GczDE/1+ig7lmN289avczCALr5zTSV16MPjzMjq//kt0/v90+XyBMIikRctLwHswe69tyEhFkRwXXkGOeICDA67+Gf5xDIhpGNA3K5ChDDm3ZIllgoLSI/rKi9DxZT2xGHba/YSNy7HICQ4Y1p1cMN0YQKciPf0waKeBTq6dQ6AhU1we6iPsd340k0jSpisk3/zytdZ3LFsq7XYzZTFA6FXxrDTtA+UAHhglbhtzz9A2FNibRpFts0DBSlnaubU4GnEpc30Fi+FZ0pQndU0jb6lpMAzw55nDvpY0v4vX/IzYS6MdjuvPbdUUhoWj8+dabmRqKcU48zqQffB9PZaVjG9sx+9wd67g347iynkMzKNzHnKP3szWT0Zb8wKSEhBpdBUBzwwIK1stceDrgYLQ5J7C5nH6PZm+rDXqJVPphgrhYfSBCZTTBocYaCmSRK18z0ESBV5dK3C5U8e35IIy209C/DtNcOf4Bc5iIyUeqf0p/vIRTS+LcMnha8l6SA5DgG6OCqQjorCqxOohdSgWNg+PraUzrK+LVGSon+nKnzJqmOeakFqClvmLc84xnKV2YfDYlbE0A4j5PutBAitoOsG5BFrqXNt3BaCvQK9Gw7isi2jodMLZO3LGa6skGcRd16XQ69ChNU4QMHYtUGs+d903hk1PD1Eyx3qc+HCRQ6OfQgi8nt3QKLOeonqX1gFCMKGUDs6CCILro1IrkwadrqB6JTUeHOWtercXSHCfqOJZ1vVWN79wYKkWusu/xaCwnow2gu9KedBpqgprQHnomn5FMNfW5vsU9r9vvq3BgD4psMR5PLDzPfjop8MPUeeb3v+Q4wCyfjiAW8tyiWxgt6ET1mER9lgN4xLecrs394MYC0AL2oFKdAtpM97vzaFESHokz5T/zaMF95DLDdD93EwXTCBIR6jBNAz2xFcG02XOG1sYesRddqOLOda1UFvk4Z34tgiAgCGZai3DpWe/j6PZm1NjreItsPUHTCNEWnUN30ygdu7rZ/MKDFMXDxObNA6z+UCee5sQG/QuZ1rfaqmDkL4Wml0CJ0uuNkk2wt6xp3ieQvNPpBw6PXMrVkz6Cp1BHVSygzavFkAzr+amRJ/McJWUi8VA3uunuD3bGprl4T5lVR72iiqB3UOXZSs1MC7gujll9RrDQx5FanUW7f0fb5HmMpLPHbWcyVlDGmsW2cywYKjjWW+CggeRbirf4QgDkUR9gMfNkX3kauDNECcnQ085k1e0P0t0ZYPJvf4OiGVTFg4iYDBVW8EevFdVslHp5ULPBH4DSO/9Mhabzw20PcX9NPXcmHgb+6tqmZ6uVah3p6kEbGcFTZXcwiqayfe5JlMUiNFfLmILA+3Y7RfDdjDbTNDH1Xha07OPwotPTq555dSqGsh/DCOApWInXMY7K2n7wWI6kaYSRg/chehrxFtvpPSkThx/I7T0ln5MgVoBY7BrHszY1TSpisGFrGy3MYl7NYeAkggMxIqMJBjvCzDiuxu4nTJPWW65gzxPtzBhW+FJRjNaZH8SM2mm1muhh7ZooJzzv1hO1ur9cadf2t/n8TVtQ8fH833Zz7mcXsOgMCwhd/9iDbJ4/lRmDgfS2hj6MoVqTKSV0L77ST2D03M0+R70g172buScIhhGjfd8wL9xqAS6G2oUSeYzpfRKNwxUMVMp4Y29TPerQphRFIlH3RHbX9HomByJEAoOkwmzxkW7A9uXCwyGeu9FmRnjCGm88sB01thbJZ4u4C0iE/MnrdfTtnRmFZIAsfyLU0pL+LJYcyB3wax9soaakFrQEA7I1RrTt3oGiGelKgKcEtnJyYDvP1l+a8xgAbUNRHt7SwdfPmsXIV76AvN1i/724zJLYkPzLEcRimjtnc3SqFXBQvSUsVhQEn/Wd90X7aBgq4MKttfS1PwXXvT/nub775netx5EDPDYCNmPtoesslogoCdQtqqRagTeW3gLAsj23UhruxKeG0/p+6WM4fl/5mkC/djnzvn4f3pkr6Qsl8BuwSJWIx1XiYZWtL+TWWarb7Geu/+O0Dr7BpuVdnLogO6CasgIF+iL2O132wiBLthaAGIMcpDY1FnBJn+i6zjN/3unCQUYLE1yw7+20r3nf/7ua0d4evn7XwxSWup/dUETmKvF5Zq7upqOoitcnzyCqSazqWsyltBAom4UpSsl265BbMDQiCY3Z8b10NZ6dWgiAgImYZLbEjAJ8gJksyhPbt4ka3HOgElXmllUv89qJdhqkmtQ11QYG0CX7G5YLKll//GcJe4YQDDeYI+fwERM5wLd8ZiBSHnG3l4O1UYg8jlj+NZo2dBMN23OxQFsRW/12xo4miniUIkxGUEL3URBrIBT0ce5Bu30WRA+jC1Uuf2hnsIfzgOBAHF3tAFNB8s0BYKBuOT4HM9I0dYZ4CyNHAZ/4aDfqXR/gtR3fQjc8PPuXXVx9x3np9W392WCreXABh7EAgrWRz3N8uVV92slo64l2URqvJTRBSoykK4yEAjSWZAOcgsPPGJQr0NW38fhPsKpQC04gNwBiJYIgMNzUg1npeGCmBoIHoc9+t5+IPMjJe3ex9HAzwTNW0vN9q7DPggP7aQ620PXqetq3bOHE009kVK1BV1vRElvwFp2P+DrwCUtva/81X+HEWCEy/cxZUsKRaRGiisrUcD+zgj28sm8+Xz1nTvq8nd++hr4CD/FfX0/xxz7Ob188yOlzarhu11WE1TAn87m8zykqz+H9Q/ezvWuna3mwuIAdxZN4355WNhpnwgDMHQ5TVF1KNGADq7ooULJrS/p3yhRdoTsQ58+rD3PufLut6YYJb1kB3pIjq/jJltc5rfcgXzv3WtrKJyOYBpImsW1WNlO8+0iQ+SdZv4cHYuTmkue3lwuKWUk20LZnTpDT9uXO4gHwaxLHdyTIBxOtmz8V2euho7qMC/e3URE4wmj5dIbMVVQbZyB6rPZ5+fph3p6dndmSaa5PfKiZfYFJrBuc6dqmNiQ4ZovWcWJmBRFaMGO7EcRKBLEI0TsLQfAhOEutBJ/lrN21gIEafYFE6dcwEazCiMKxA5jHYv9nGG2XPDST+G43DV9NyJi3nsyPgtdz/KNP0LF2P32/t6JLXYf2ExzoR/LaoM09q23NJxMYql6CEsh4QbsexvzjfKYPbsuaQBmmCU0vUxp0gkYih1MkgYSzA3cyWWLptCzTNNGi6+grcw9K47GoUjZzIMDy9n7qwhYIEvd76SsrJpJEqnVTQDNFhp/4AX+/fzN65LFxj1kfjLCw250eIALt0QoebDuBxzqWZu0jCD40MYM2nL4Fq0MQdJg8WMD7N06sa5EM+ObTFfSX56aRXl71PWb6U+yeiaf4ZJoSeR5Nzp+TruetDGSZL1mhcLj42BmDW2ennAsJMSkeaQoq92hn4ezAjhVoSwjjswCdJpkm5x5oG3Mb06HftWmVzYTp6wqxYd4URsw3k9vZDpQvuNatg6cHUMKPoITcKS/2SbQs7ZnXl51CuGQK9SWjiJEQgadXIRg647ER89nR2nJMQEymVKRSR03TRA0oOTXaAOIZgO+8I49RPLIOOXArWsIW/h1ZZbGiDK2bxOhNNCUcuo+uSEvyObnOZ93/2VvjfGb1NE46WJkG2gDijkqtOydnVzuVUpWYMp6Npnfz+uIZ3BdfRrE3hw5c0ozM9MXkuzSUQ2iJ9WiKO8XgzIFH8ekyzb0jXHnvVlbt6mY0McrM5TZt/PBjf7fAIDOCGn3OPnQSKHjpjpfZ/PwD6PI+wmI7uuDoNwUvhtqJGn2VmJ4ErNs3gGHAvz4FT36RougYDMqMlOtUJoClS2Ols0i6gmka47YxTfLhGYxgZARcChNuhyfmdzsyhV6ZeOgJukfa0Qbc59g2s4GB8mL2N4hUDjucxJwgSvKWBEAPOJZY71pX9qErzcjBe9KVuGOFdUSKJ6dTRw3JurZQ6VTCxZbzHnr+eQLPPENl6yEeeuV6Hnjl15xh2mNrKEeVYsmRgjB9WMxbPTtlLe+7JP07rIR5rr2J/qIRjtQoaXZdT42tK5bSsQSL6WdonSjhRzhc405tloN3osZeQU9sRpd3pxltJhAtsKO1urwT0xjOqlYN4JMDxD25WSppEwoRxnGv+ipK2D7Dbp+CZgGd+9f1cN+PNvDi7Xs5stUhTREZ4Km3wzRPqmL3nJXEKheixtamdUgsUwmM6OiCwGiRP+1kakYCJfIcmSYIHnTlILpyENVR9euNB+1jbn7a8gHaaivsHU1nUDCIrmYDH6kAocXAzO3ImqbKS7fbrCI1WbRoUafOcUfLuWB7HYKDuRIo9LN66cys4wBE/F6khB39D2ec0tBU+vvdY4WW2IyhHk6D/MmryqxXAljafnJMpWOf04+0NzwyeoSXjtoBM9mX28d4s3kNv3nxj7R3uX2m9S323ycHLE2oi0dtGYqRni5evu3PjPRYfcKXH9jG+qfXsOobP0HevgMT2LfwyvT2urwdLf4WSugejGT65kjVQpQu+xn1Rnu5aEsdoikSOJBbBiVlZ+2VyDWGLtyzK2vZjlfaeePBg3wuYrEUTFNjx4IL2LTiWjTRQ8dgL3LMbptO3U5DEDDbdQL3fYpATCGS0Ph0xM8FDo3QbS+0WX2w7g7AFhvT0NVOGjp3su73P8q6LiNq95MW0DZMIBHgrtduRh6C7TMbqAn5iIdGGLrjDuRW+7vWYwHXeKwbOvGwmgVgJ7weFv3qfrpGY4z2Wshz16H9hF97jaMf/CCJg9Z4GoqrzI91Ige9RHsLCMu2D2YisONEC9zMbLeGphKRNX70QrcjZcp+fmIyKJMZWExoBvf4bnSxSwAE3wnUq59K/92zJTmmmya66PYLg+ZGDPUIesLNko/n0oMeJ6idaZKRe3vTjOORdJwB2ciAP80AA9ISBck9aCkfpPbhNczqtbdJeD2URHJXhA0MRFEjT6BGn0VL7LKOYkRpr5ue9i9NYxRNyAbZANpiKne9riBmMGMGwzJP7+zikbdy9I+O9zCkLGLLyA+ZSydBrSd9ztlv3TNhXeyU/fHF76fTUp3mKnIRX4ee2IIcutcO3idNCd2bTouNFDe6gnSpd6CLlt+pRyIs3L6F0cMl6KI3DbIBHF77DJc/ezk7nnqC4a4OVj+6io6Ijhp5GlPrRpfd8/GZG+0Mjaqwl8vX+fjyhmHueP0mPjoaR3ui2ZVNsr/Ux/aZDRxsrOFfr+3luTW7Ofzw/yOshsclAZp6P7o+iqFlF8QCt7h+/7+eIvjyKwy3t6WX6aJIb2s2o001NHb//Squ3PtfRB/7CqkLiTiKcg0qMU7rtZ7vR1rW8Zv1f+dfL/2CmlBugshrb81Oy0lEHazqaUMT063rMq3xMxNo06TxmZIFav5vL5UuniJiLN13J/7BBygNdqGEH6GjfBsVnXcw4O/HVdPIjKJEX8TQet06rsJkbut7gqb4WajxMKv75pJpc3rt92ImaY9htcjKlpN3o8XXokZfRI2+kmRV2+1RNt1ZcbqnkEhJI6YBuvLO8YCJ2P8ZoK1/0plZ1RNX3Xc7xrAlNHho/mfYefw17O2rZrCjjUev+wF3ffOLLqBNk0TiBVVsX/Yt9s3/JNtnL+bijWfy659fQVfHESvHe9XXeDV4LfcM3ktEd5eg1WWZwG8+T0nYGelNfoG/qMAn5244hnIQOXg7mrwPQz2Epmxl9/R6V18yHriTsnl9FojhdYgz7pg5iV3TbYf/9sOnsm3YigRqWg/j2fK2fmZmNHoTgT2j1uA3kCjN3knIny+eSmcRDYFFbWOn3zjt+OZKRosrcjKwAKo87RSI1rMX3gXQZqiH0WKv5l2vjQN6Gsl/hxprxtxuTBM8OJ38ztGMqOcE0jF9jsjZjNHxK2WJhrtjLhynOp6hHEVXrc5tsH03//zOV+lrPsze9mSELJXG5HAkotIgSuheK71NbR+X2QkaWmy1+7x6Hy2zPozX0PE8/jC9P/oRsU0byTfZG88OTa5hqLQQT1LPJEVJb9rUhyh78jLaMkuxBws9DAs2JTxlrz/RZVVoDVsUeNOht6glbAaGmWa0OVLMTQtUKE5Yz3RxWxmyx+3462orunKIwZIOVDEPizTDmZNFO2IdGM4G6KxzKxhqRjXW5MA2FpPnmiN38sqm7/Jr6S7WHW3h0scu4q5220Hbc/hIzv1Sxwz2PISu5C4rbqgtKJHH0ZV9hFOamo9fCYF2ov0+RpuL8I/GGKpewj0X5arg5f5GRnoqMRQR1ZtkJ6pDDAibkQM3570/p53+bBXhXrdOTSKjGnSWlqZhOwfay+7U1JRzI3s9LhZBLnmBlFm6Xbnfhxp7DdMYZcO8KUQK69h48s8ZrllqA6aidT5TgK0n/TidAqYGQpz/+D3pYNLd2h9p6a+ifUslSkxK6xflson0vUbIvt5NvZvQMmmZwIG5F2EmgXan024aAfSEBVQkvPZ16MpBV+qkoXWlGW3ZfbYj0GXE02C6aZoY8vgl7QWxkIm4V/3lNuvVLwwlzxdBk3djmir73nRMDB1alxG/5UTqsruwjWlqmKKHHTMmsXHuFFprypP9kIGpZ4/lpplAjb6EGn1pQmNGer8MRouQI1BjGiGU8FPE1G3o+QJTpoLhGFdMI3scEhzVyJoaqrLWp+ytBdPwO4oryLgnLpm6g9b5stOKxiokNNA2wOPX29pQsa1biLz5JnJzMw9/7zI6+rcnjwFlidzBq1d3v0zFsyfy/CPu/mfHtt18sP9FPqbb4Jq/cAietfSCHv/1T9n/5hqe+uF3aP/8lTT3Bvnjuls5ZZOluZcoqGagPju1E2xtWcE00JOVQk3TpOW51a72+MSdN6T1/zjwLPTs5Bsv/oKihMR5O6sxjWyAOVpwiquyH0Bf80Fa3nwwPWbria2o0ReIyq9wsLGe13ds4Nk//cY+huPb00SRYCHEEwKP3HkPQ4EwtUZ2W9Jir6GE7nEvS2xEi1tjphgdtSZbhkH/0WZev/HXrD3vbLomn0l3wxngmU1wE/zi1V/R/6Ctw9s860N0/On3DN78F9qv+AxBOcgtO29hY2sIzdHPRAaT36rpBl9kj0Rpwx94YosN0ntNla5vfBP5SDMdV13F/VdfxNobr+LNkanoogdN8iM4gKaE32ZiZrbb/kgv5c9cQceUc+lKVpBPfbOKV0QMp7Z3A2rb20dZKrbhcQA8sq+MfYu/5No21mr1vYasoCflLo6lb3inln9cMOjvUl2AU+YYmmmyR2WopJBogd0HDJcU4o1naz2rikx4xJEhFF9rHSP8L9ToKluLbZz0spjuQzHsNq8lZP70ahP33fU4y4fbsrbXFXexlZA+ifmVL9LOddzxyC9RFRlPq4+wkLvifT7rlGHgX58AYOe9v+P1W67HNE36gs7sgqTAftp3zdD6jVnak5HSqWmSB2C/A9Nge/92+n75K7TdOh1TzuWtM//EcOUCVE8xmlRA89//jF/O8IHjDkmkjOfZ2XhO+vfC9jLKwg14is9lw/Kv0j55BYLmo32fPT601VgZLr0VJZx8zad48JXrucywCmfMGViKrhzMOoeZ9k/HTq/VJBvQGbjvYVb//nq2PHtvepkuCpSqEfY31riKDupyhEtizzFrpIfLtXWcltjHWV27CIxYY7sc8rAlYgM+y0b2c+LgEcqVGIHiipzXYpo6bzxwCMPQmdNhsegEU2BxBrklny1qK+NwqIbAqJvYoUnjEw/qAxPDFUwg4VFRTPuaRo2X6SuJ0VpXAYbbBzaUQyjhf9Go3Gsfw/RgIvFa8Dv0J0rIZd2TbVmasGAFGWQzWwfSUI+AER6XT7N1xY8YUafSuS6/X/Fe2P+Z1FEgC7kf6u/lxfB8Lpx5gP56i5t51LeUxkO2I204hCJVSWTb3KVEhDegQAVZRZKhsAke/d53+Nb9j+EFjiYszQbZKAZHeqQhCPRuqcRzvuMikpNm3RCYvns7I9Mr8l6/FnsVyWdXYVQkEck08Rjj64IBNI6EkZITII/ubmQxR2ehmhL7g5kC3W4rkhVi/vxgWdAsJRjOAbAlTSB7XxtgEJPXKKSrn2SaV9PzAmr5bEguojANIPz7MOZMYclMk70eNs2ePOY245mAhPMeZgz4cIVxJuAYFcsKitfqfMviMku6BtEkkbULp2dtWxGUKTQUeitL8Y8R5XCaobViRFoRy7/GSIfFinjmhp8gqKR7HkPrQXXoaqVMCT+GaQzjF232gqHnjrjrSvYkLuZRMTQBX5LebUQjmAXvPHU07vVQoFpgxtqHmiivLWTNfQcxTSPvoD1S4h7YNs7NncbSX7JgTEZS2kyV1wsTnBN2RxgzHTZFcgJxBmrkaQCmd4hoooLXyJ4ACmN8L860vEUH76V92sVEixuSkygT0TDw6ToJr9d2yMcA0uN+CbnPyyeVtRx928enO8tZcbQr7/NJW45J3limGTqGKSKqUXj6q3S8YQHbRVV17D7ua0xVFBRuybhZ97fd6zken3oItcgCeqLmQRRpfA2UlHVUl2EMC5Dbb8hpuu64z2efwgCCRX7KYzKCaaYZXbLX7v/yRWYBNEnAyNTmSpog+NMp3ptmV6KGH8ZXekW6/zDFVG6q1XYON84n7B2m6mgxHcu/z5zmJ2nseYuH27/KiLSHMknmjANdiEtMdMm6zh3Hf5tJfVtonXEpk3s3UqQpjC9VblskHsKvlRLDzV7RYqvR4pvwlX4sY7m7GM3iPX9j/3HfJJuNIyDpyZTjMQJVctDSafFXXIOhtRPRN+fdNn1kodBVAXMiJiYLriiRpzD1IUxtkNHeU3nu5u3UTl/JcX02wKMLOkIugD/53gbLrO/1UGMNhyZXI+TT+3Iew5QpDfcQLpuOIApW+hvgxUTN8Fi1+Dr3YYxspoehWoD5SAH5ycSmmk6zM7TcRUUER+p1ZrA000RdQE82C0mX0J2vNUcfJ4jZDbM40knQsd+c5ifoqp1BSOqmbY87lTO+fTtdq99icHIdZwSKKJGttnt47ifxEsIgW6todn+eANuzf2EGUNwdJ5rUATFN2Pnaq8w/J0hk2JrEBOU4sd37OPEcN1An+8rHBES0xC6GfBG6mnuZdyIMd3UQXeceO+Y8cyc/LTyT284vw3z0v9jUP43pgZlMZyptNSZkBlaAeGE1neu30/L4P9HkBRjKofREXlYO4Cv7PHryWzD1QXrKrfGnY99uphb6KEkoqJKDFSKJBPDzeOssaH2OIyO9qDEdT8FJrveVa9y3zmGzrOf/7GW+VtuHsSGZ5j9jEv6KjyEIVr9WtAcKD5kUxAPpfYYqZzP0+t+pwqqKev2m61l7eDWfPjIVsNndiYjVp2YGAA9NrmZq/zBe7yNpuL7/598nFTLWh4aZtSnK4BwfIxSy9syb8SphtOgDpOYLByZXoqsdOe9RjY4Sje6kec41jptOpvpLIEglWF2Ju9FJGDxWWoIhlpKSWnj71J+jhB7CGVhQNZWEqrOjqQvZI6LGN6AnNuMr/WSOp51thbJCsRpmqCR/WtoxWfqbtq8xmkcexmkDZUUEiuxJ+HBpEW/Pzw7YJMJh5LDzHRoWoJQMTulqC5J/0bi6nda1JiAJAAw8+ixdwSKu3/AAb53yx6xNDfUo+O35nC7vp6pJ40N6I7HENtaG76a5ZDExMb8+dS47d08hbTM7qBtu4fWXLNC5IfQ9fim9xXnp1GEJJ0MQsQSMGM5nbOhDSS1Xp++goSV2oCe28OZT57FwZ5DQ1DoGpi1HEiR2HfcNQEcQPBT23syn17iJErpQDKQAag1Mg4G/3QofvoR9dbGscUKLvWb5Cir4K76TTtV3Vvf06DqKJBLzedkWK6NuuIAztodQeQnRtwBfsdVn6+pR1MgzeArPHhc0dTLaNE8R7bXu703xSISqPfRVlNBeY0vaeOIS6189n/76FSwafoL/N/ovCjWFfwhBPlTqo/31Gk5ssRnc9Q796tHSKlLt0mWmQn9biPCQPT76dQ8CsLy1l+0z8xQmkgYQdOt9P9e9MGv96fvHJx741YnNk5saqjhaV+laNr/DbmtmjiwHgJHIECSL3jnHrngkd5AqXlgFyUfWplVzhfJjPmq8knNbOZRb8iZlWnwjnsKVbJU/Tf3oPWNu+27t/xTQpnizO9lBuYQdBQ7Ktmmy+m5bAHH97XZVqYTHQ0TsyktL/eCNz/KCKWGkI6kZon/JTkKM206FoXWiJXYRV8qIF1SMew/Oj3HNkpn4VY2zD3VMiNFWHneIQJvWBDlfpRJRMNFz5U8kbUVrHwcnV1MdGVu4Oa+J2e8CYKC4lfKgVXZXjZRSoLrBtKpInHl9I+ybUjsu0HZcxwCjRX46kx3ho+3LOG9aaoo3Pm323dqSzkEmB8IMlha5qO2dVaW5qfbHYoLHpQ8jZr2r8cUdq6IJRpNgULGs4tMNfBkALKbJ8rY+DpTNo8obY17vAJMDxwZ4lItHSCUQRiIyHm91OgrsFJt2nTbJbJANm3KfAowmYgF9DQO+KVQkulBFb1LM/p0DbZECH5oDcNr87FEKqyXC3buyGG1z+kdorq8aN+rqtNz6SW4L+4/i8+/DCNhRHV3eg5EBtH37BYUjswxAcDnq03sNBP96VFNKa3OlTNTyt2PDMJCD9+IpPJXy4FHSbSd53z7NQE+yUNXoKgTpvykPHGB4nGxk0xQo7omiSgX0VoyPRJlmIitNeCzT9VHu7vkVU4pCXMLvAQvc7q+zqhU5mTLpcyRTcVNta530LSonb6QsGkheQz5dydw2XFqUJZg/nmkJO3U64ZU4nMOJARgsm1ilpZjPS+5vX0AQy9I6e4qkgd6fZOtZz9lHCRAEdLTEVlqr4kARoz1H8BbWcahxCt1FcwkWJECFUDJdUTLtUg2j5XMZLWtAk/dwqHqECr0f05g65jUbggdTVRG8XjwPPoNOnv7SDKPFN+Rel7TBYku4XxDdARBDPUy0YTK0Wyyacc2MTzglv1gOEPGNX/3aaQnVA14wk2l+utpEoOcoge4ILduPMlxxGmBNnBSzE5+ei8WoZrcRQcA7/EKObd0mahHmH3mEbct/gGmYaAkN70OX4JEl1HHGK9OcOPjs2s8IIQfvQvLNAiG3lMKkEatm7Z6ptYyOI7egSvbEThfd2+ryXnT1KJ6ClQ7du2xgSlP2gSONuHrgbfZVd4ABW57+m2tbAwFDUdhS7ofyes49EAd0uhvPgvBTOa/xtKZJBMaIs0V1+7qFUCmvh0rZf90PXNsokshV+55F9pVxeO4nGK5eYlW1zgF4pu8r/joAT7/o49LaUlbf9ZBrvVfT8Tf78W+8ic7KS+ncN4ONnqmuipS5zETnlT/dQMgvAx1Z65XQ/YieqZhY37WTubR+3lSmDQWpDdvfT0/9CQTkAVI+TPSQxTYztD78ZeMXOXBaeWgYvelplyScoXUgee2080mhSWiOgjWK14eaiDFcXMC2mQ20vvk23tocvrBqJP1x9zcULvRz2r7JhPu348XyPQORIvaffA3TOtdQMbyJPsd4ZygHiMTfBMEeW/rLAIdur/u8cfq1We5laU1N6FMbgF4M9Shq7M30JkUFe4m+VY5RXALJAIMmb3el3QP49QRbfvoFXumNUlWegITlg+UKiGZaWVzmteV9dNWYXP6WDbSVxmUSXo/LZ28cCaF4POmgQD4zzTiavBtBsJ9ZdIwgf8pGiwpyVkPNtOHuPqKj693nVBxpjUlQ1swVrBJLLeZM+lpj6IkmdHknm3ZfwImNh9ix+JrkOvd3IohuzWE19grljuD5njUvviM+wMlHJxGaLWI4WHT9q96g+FLns3AHFAWhNKk/aPu4KRasy0wtzfgTNxzgcOMU9EQ3RJ5GqrwWNfIkhtaBp/AcRnMEtg1HlV/MBKYp0/v3f/La2y+Ne1+mMZQuZhNygE4+zeTteVNJ+Dw0S71cutkmiRjKIUgCbWr0ZcBEi69F9M4e81xOoC3qKyCzjcd9nixpGIBA+QxaJn8MXd5JpODzLAs+TGfjSpYF22nrK0UA6ptyB5QivnzyCgqFJWWWHnTSZgxb11MfilEViWcF9c/b30Zflc6R2uq88+QzDppsnZVzVdpEw5tTRiHTcvmnE7HCUJxAsi80jSCavBvJO4+O0ey0UXAHUcu9lexSK1mmH8RDLnaf9Yy8ms68vhEE06SzuoxgEnzXEhuRCk6l3TgFqWIdZBQtey/tf0Xq6K233sqMGTMoKCjglFNOYcuW/OXEx7Kh6mxUN64X8u06C/U1Td2VqgUQ99uDwKa5Y1fQOWGwnYF2Z5TR7fAGyqaxc8mVFCjux67FX6cnWo/sG5sJZR3SHZmWvR76ykvSIF4+axwJMW3YzSPwafkdqExdoUwrllVOau1j1qDt7NeGJsDKSZogZk8SFY/Bq3PvxKtYHYrUNilrm2UdA1SbAks7B8ZMTwIoSSgszaDXmklR0sz0kLZJIXQpzEhp/kpf5hjg3Pye7JSXylgCj2Hi19wdaM84jLeJmCFYQMp4NnU4RHksQUkiG3jzazr1gQiFskqNI6JXmQRP/arGeQfaqQ/FiHkKOLT0AuYMBChStKxjjWVFonNgMdDM3APNe23bFlzHgeqP8eZZNzNatZB3A7S11VbQK21PMzf6WkMYSjDNJiuN205yRXRiYIwvPuxIBx0fvCwKjbKiVXYNNrq8K2u7glAEOfh3lNA/0WLutE9TPoCu7MXU3X2BNMYEDcA0RlCjL+KXg0SLJyev2WorHt1AcTDYzNh2CqNjR2ENIKrZ/WB0AsCzdb5jqQ5kEgq9QktiBfFk5aW9i79E36RUlTiHpqE/WUk0vh458GcSozehJlk7ozUrSXi9GPoQkvHvB+hVhzO6Z1r9O3ZiUubS1sqw3Gly9j2mmMemKWezmEwTLbGe0ULFlbo6WDED1euslJJADj2AntiMqQ8yytZ0mnQ+U3wl6MlqfdOf2oZMfv2o8cCvjio/hnoYXd6etS5Q1MvhMxNp9t1YZhox9AmkjUJKb8h9zOrw2IyImOJFyKwkm+wXdOUwrcpJru2VPPqpzgIlx2LLdv+R0nAHgqljmhpK31Ho2po1fuWyVJW0YzVd2Q9mGF3enWRpZ5vqkUh4PXRXTVxGIve59qInNmGoR6xU/eiLOTX4nFp9AG8uzF+c6Gh9Jaqj+FFq8mWl9LcBIHrcTN3Biklo8U05WYD5rL/H/Y1vnDOFaUOwd+EXGKiehy54UPzlucGADPPpCV694/fpam8p8+oGMZ+HT2/o57H7V7HRMzYYnjZTS4Js+cxwyR1oGbOOjppyZI8dlQmXVOdknDiZahPVrbrljT9TFXM/EzX6sgv0yAye6CKUxxU2z2lEl0RO21+DT80en+I+n81yMgVE73zXeu+gDaR0N6wkXlRH0/xPs33GJBcLRo29kuXXj2VqQiGgZX6TSd1YQWA0YbdXZ5+3uDdE1LcMU7f9L1OzKwOnlwkeKp7fQ5WceU3j95Erj3QTLjKJFVi+Z8pWtPZm+evHdQ5yUmsvc/rcRUaWdLr9QzW2Bi22BjX6THrZRAotBIuTgY5x5gnP/+OhrLFBCtlB3bTWZo72KggZVaeNOFp8LaYRpH3wIDHf3URKpmCaKnLwn+6dnXp/ajZA/U7tyMyLGFZnojzw8fQyQxD4zNox5BzEUgRx/MBQadBmtBrqUZcEihp/O81kTYFxWeZgeRtaJ3LwdnZNm5iEjqkNEg5EGOrq4NDvf2ef11uYDmrXBLPnVoY2YGk5OtqYoY2tR3lwwX9b5zQS7J2UHUSK+nz41ez5RG9JBCV0L7q8mxGpie3HfZWDU+cxWlrJW5Wn0VxXwaADFBsuLmDdvCl0VJWiSPl8W4XIqMqRt+1nP7PP1uBb2JMNMhVoOjMGcM3rMs2YQHs2hbHJLO/WXAF2M2G189hqRvXxvwktsZ0vdPyT4tGxs7cmBaNMHw4xbSTMsvaM/s6MY5oqO6e/+zn5WPYfD7Q9+uijXHvttVx33XXs2LGDZcuWcfHFFzMwMDD+zg6zcrNzDc4aF+9/H6YRR42+lNXhmkZgwueoHT7Crn6bKZIJzEQ9o/RKb+VMkehIzCRWOP6EyhfLFtXcMy2X1pBtflVjWecgYkY/W6iOkS42RiNc2D2Uc+2yjoE0SDOeOaNTKVM9JlF/BJ+a31nsmjYN/6zZVMZkLtrbypSR/ElImemxANLOlDaBu1MLF5ms+qBK9wezwb2URQrzO3cFWva673/RcnjEjIE+NgaoMK93fK00AE1UmEjznToS4vQj3ZzZlJ1aVqioLG/v59xDHXgdAMKKtj6mDwVZ3tpHQXKSVdNQiyG+s05XN8afqP07TI2vp6fGqpqrK4cx9Yn3Geftb+OkFrc2ii6o+BNJsMGERKgYM1m4wa/bg3EuUDOXybFnkQN/xzSimPqxsQTHstEiwxpAxtDtMjO0yIRkhBth7OiyaGoURVNiydYExavrSF77W5za/TYjxWM7wpoksmW3XftzQuwsM4ESenD87TJMDtzGQ+0ns3PO6fRXNqJEXrCi847JlpFqow69HSd40FGwDyV0Pwkpv+Py6KyTkbGc1bLYsTHfnKa+Q0DYWRVyYmZkpcpmmicFoGboEAmC364gDS7tpj1LrgCXzuDGrImkc99cpniKiN98MXue2cimefPH3JYJgAv5LDRsUinoE2KEG3qva6LgtJkDgYyNwQlYntrczSlH3YVDMieYHUolhktLz9lG8/kv2aaE7p3Qdpm2Y3qdNa7LHciBW9n03CoAtIkEADOscYxxOa/lceqPTKrijUXZcgYTtUypA0Prprb3xYwiEu/c+sor0r8HKmehSX6XhqTX66YN6PJWtMSGjAIMx2bRAi8b5jQywHPIwb+jy9swtG6U8L/G3bcoh1YdWH7J2oXTWTfv2IB9XclOj800F2sqh/O4b6o9FmSKpOcyQ5kY+0DwVWSnG5sJS5rCNNES29AT7sC9ofXQ5ah4DHDRtuz0rLYaX7pIk0cwEKT8zy0i9WNog2iJHUQKj63wVNaxumsZjB9v3YopY2h9aXmHhFdmoDC3L6GJ5S7tVcgnx2HQPuXkrKVOoDOXVYdjSKYFsqmizwVwJUR/ViZE6q1kAvkFqsbphx3+ag5pDsWb3VfkkzRpHHXvXxd0jxfKcLZvbJqOwGE6GJrDrxMyfHmXvIXBUwUWYGBoXVnjlK7sxdAG0OT9qPnYi+/A5OA/GOr7OkMJR9VLUcCv5p/TCWIBgjR+qm/lwMt512W2o1yWK/12qHRi2T2G3svOR3/Ofd/9Ojua7RRuw+EvVYSz55VK+EGU0AMZFzK2v51IstGVyKqc66MFPkYqxmbFGVoPYeEgWvx1DK2LqBDgcEM1W2dPprOqlL7yYjbPaSRc6Gff1Pxz+PJR6153rrXmI6JY6aylSXlc4aSWHqrDlo9WW273XbnmwCmricQpkhUajjFD6d9thtpM0Du2dBWALu9AQEf2jF0UIlpgtVtFgv0La1jUZeMvcvAOlMjTx4TzvBP7jwfabrrpJq666iquvPJKFi1axB133EFRURH//Oc/x9/ZYUZiD0aOylgAU/oLkYO3p8vVu/ZTs6u35DNT76N5ylmYRgzTNBByCO1aG1rLG8KFFGjWoNtpTiZSMn51zYRv4q8sNdlLNcBMKzxGZhLA8e3ZhQ9S5tONvOuyz53ghPaAa9kvhob5QjCUBQg6LVg3DUGyBlnJNJHG6Ei8Rva6o9V+SrvuyGICLZpyPBs+vYGbLvhLzmPtOl2nyJsbDGgIRGgIRDil2Y4QC6bJcJnA974wtjB4phUpmosZ6MvjPMjebMZELksVMBCA5Y6JnmiY1IVyTxq9usHi7iEqHCytc847wZVnryRxlKoJAKs+dWKine/M8oN/emJz2kma6KSmOhyjeXaIR882qY3EOT4jAhKS91FclHQozCiggGlyjtFLbSjKnL6RCTFAAGRxFFDQlSYm91jFNcpjCXfRCRNEb24adT5LTMhv0RB1awDS1aPEJAvgFcSxWSP9ZUUsPvBPGnrXEzYsVpJXN5BEu61FCnxjgskAO2ZMojh0bKl1nnjbmOBhftMJJhR6i/tQwg9iqE3o8g7ksO18OcgHLjNNS68lVeFIlfK/2wHzRO6dfgVPTLrsHTkvkm/xMe+TskmBCIt6hrlwbyvn728bs190WmbaUNY15UnnM00FxamB4ZhEmEbYxTjJxbocz1prC3l9+8WsXbWdsP/fK8R9nCHTm6xUPdZzM9RsIe2UzR5ws8j8muJKKa+MZvsC8/pHmZWxnxzMrxUykfTyd2OK12PJGsSfBnR2rV+HYYrECo5da8k7we/PZe+R4HrmRLok4T6upAap71v7npwL4NA0Gwg+Wi0zUlqF6ajGfLb0UK7dxtRVnIgFiu3+U4uvy8kSlXxLECT3pGXi3KmJWa4iG/8uSwH6amz8VDOATcs+nU4Vch1H70eLr0OLv5W1Touv5XCDGzQrkMf+no26UYQxdElVsw8l/EB+ps8xmKG1M5o4wTpu7A2U8MNpEEwVPWjHEhDNqfNo0Fk745ivK8X2rihbQqT5hy7vdOS+Z5nfmzu4klnZsFDVKI8rE8qQ8Tg0tP15inNlisaXxd33nGuSnfDagI2hHkWJPIup5yjUkgG0GRGHXpRpcsWaqSiR513MQcG0348SfhAtlltjaiLmKTwr53J5+A0e7ZiT/luVJKJFtTm3tcyHII3PImqe9G5F4995H6/Lu4klSRjOSu26OBF/+9jmumqywFq+vs0UQDfGy8xR8xbt2ju1jh0z8pM6nFYzkMyySwO92RhAbSTOitZezj33fVxw6jnp5fnGYdEwkEyTsw91ckJ7f5rgsbRjIMsnSVmhbL27zPF1PKs/Vl9YKCTie3dZHA0OcL1jio+rvyZx9dUSzFzCjOEQ9UH7mswJyoG8G/uPBtoURWH79u1ccMEF6WWiKHLBBRewcePGnPvIskwoFHL9A9DkTXnPkyul5J2aoR5FDt6BHLg5mfOe3zy6kW4IYX0WceG9AyTm9fdzUmsvC3qGiC3P3cG+E6BNMgwOLtGpvPz9CIWF1H3ve+l1DfffP2FQ6bQtN9IQGHZRWz8aiTJN01xofaaZ/gq802zafGY6rNO8OQCPo/WVDBZnA0y+UmuiVVlkDySLuwZ5/Nwu7r2knY76GFIs9/M6ob0f0YRfX+HUH7DuoasG8lQtz2mSYbCitY8FPcOc0txNqWOScEKbPVg3TW5msHj8DsKZ6uYEgBZ1Dx5T3dXGi85zpSengLbj2/vHZdK0RLLTE47VlIxS1PWz5lK7aAEvn66h+qvoqsvzzeSIQnqKLsp7npOO9tJynMALJ4t87jsSvTkCTcPd1sCXquTo10z8XoOT2nuZ1z+aLjgCMHU4SOOI3en79NEsNpkWX0tHpdUV14TjXLjPDghIpoDoHZ/NsaRzIJ2+2l05PjvM1APEo09ZKZKOqJ0gVYy53/aZDWyd5qVfWEdhzGK/eXXDpQs1VDq2jhJYhSI2zxk7FT/TNPHY+6sxzREpV315WoMp56y0l7LqqJdTm7t5cMZF+DwSiuint7ABKQfI79PyjwcbjxsYF+TMZ+ceaOf4dgsw8xoGfk2nRD6WFNv8JpD7WzKUprz76EpLXubXRK27HFrKB9Ii6sdqojlxoGevNon2ZHqtLuV3ifIF6qzzufuf0kg/gsdKsa4NxfP2tbP7AxRMcBxWQuMEF3NU/jxW25sRWW+OHYeoTzzFMWXGOFIWuexYi0fkM+e371c1vLq7vy2K9SZ1C22bMRhg6vA7AfFBM91M6X0zlrreRaEnzMrD3ZSx9B0d/52Y6JmBr+TjeIsvQvLNc60z3lGw4j/D5OA/8rJMclmmFIzTdHlb3nXHanW+yJgFgN5LS6Xwq7E3s/RZRcGT/zqEiWnGqrGXiGu7jvm6JMOg/sc/4hMLfg96savP+8DxjUy69jvp+YHmCMxlAmSd1WryeBOZS9h9Z6GSDeJ4NB1PxnGmjGQz5MY7h6E2Y2jZ/b/ocftmuoMlYGhtCKaKoR62WN1AZQyWdYzNDDw2y/1OM7M3WuoqaRsDIxMEH+IEgLb/XzVBdAeTDLUZTd6bZ+uUvfcBwFzB1oMNBaCH0oEoAZGX52SPJZJpMm/x8RRV2CBVLqCtIprg1Oae5LEsmz0Q4Lz9bUwdDWf5Mik7rbmbE9r6mOWY700koDtR4kHazDjGu2SYVToySvyTJzFYIRAsFphcb5EW6oPvja8xUfuPBtqGhobQdZ36endErr6+nr6+3JP380VxGwAAdA1JREFUG264gfLy8vS/qVMnqDNxDCYZJifnQUF1+UDO5blMELx4khMyNbZmzIj5sVqhkWDh009z4YOPIs+zmXIxxxhcHjv22KZQpXLhvEEm/eAa5m/bStXnP0flFZ+m4YYbKD9pBavnjVM5EDiuoz/dwDMrwfpNMwusS6Htc/tG0P0lFJ9+WnpdqaxS5HCsz9/fRuNIiJVHuo7p4/aVWREsd4EBE6PUBwIsrl4MOTTtFjtoqN3V4E1WdxuqsCbnDeVTue6KiUUuwGKahYpg1mCA6miCkoTdYUiGyXEd/XiMEJ3Tenlu8W3jH88x4fQ4Jv/SBAHRv31A5O6fnIC3vp6qZfYg4E36NwWazqKe4XeQtua2UnnsVLKEV2Sk0f54P/Pbmzj7mm/SV97BQ+fv5LUVHbxwku5iFYJF+zczmKWiVIMuZTOuzjrUgQjMqLIYCvECgSfel3vyapp6GoApUDUEAaT6HLoyCMwYCqT/Hr3kTIbK80+sFY/GvkX2wCSYIHrGB6SmjoTzMhRzmZbYmDNaJ4gV6d8l8dzpjwmfh5jflwZeC1SNUxysjnwFVt6tjXfcYEXgHR/b783tMJhmIme100vKeqmPFHDC0SNURRMEvLV8+iR7rMnVvsQ8E4fqcIyhapmJMFSzj2lQqGqIgKtuTI5TCeKxRwlNIfe3N5YOmKHmB+GyLf87NbVu15g4KTi2w1bq4OpcpB7ia3M3UVmU2c6z3/OWeG4fYSJs3ZRlvtvycBeToiXUqytY0Wq3s7lJVsfcvhE8dXV4DYPTj7wHEVWhmInUthKkiY9FAKs7KzDHSGV2jtVnNHVSE46xvLWXGRNktjvNUN3PIZ5HHHo8c6buFylq1oRd0sJZjNs5/aMonokXr/EWvQ9fySdyrpPFGLq8I/13Y2GQ6XUjrNzzbN7jiZ4ZEz73eCbgwVN0PqJ3KqdsuZ45ne4JY0o7Lr29o88XM9Jc85nonTf+Rv8my5VlEs6jeJAqLAIg+VdkCdA7zVN4Rt5149liMTImo+29NjW2JidBQDB9+QG1iRbyMeVx0/F9OYJemtdH1X//Nx9d3sjKWdVZ2mjVX/oSG5YMMFqi8PKpNpO6MIPRZprWy8wVrMo0xTFul+fwV7yGwc6TNM461MHc3hH6q7spypMlkrLx2Og14RhfmryF980KZhXYcVmO5z1leITSxDuXlcg0QfAheueMu12uVFv3gbzvyD8YzwRpbFmj/xTLlfatJVlt/5MmFazIudxMbMNMA3sC0ne/SUdp9rP11FQjFtmdYSbQdnJLD6c1d7uylawjkpYJEvI0O7+m0xCMUhlNMHMgwOKuQc4/0DbuPeVjmlbkYPmnzFCsdFnJdxy+0iuoYPzvyGsUUBFNUBaTXZrZs5ecRn1RPSfUnUBdrYVPTA68s+JN79T+o4G2d2I/+tGPCAaD6X+dnW56viCNn55pbZg/rel9A0c4cZY9oRc9M9JVTMwcegL5zK9EEdP6VRNnazSOhDGEsYGSmNeHf+5cfNOnU7DQngRvOtF2NOpCsbSmWnkswfn7WjmuY2wdq1nHjVLqM6CoBkGSECSJST//ORUfuQxBEJhcMT6bxasbaUHchT3DCIbJ4NxzeEg7H0PIniNOHwpy/r5W5vSPEkGi+LTT3MdzAGB+TWdZ56AL0SZPaWGn+YuymRse3eCBSx7gsjmX8fOVP6fuw2em1xUnFI7rGKA+EuHuC0X+eLnIsrrjefzsAZqmDXHKtddwRuMZ3HbBbTTWTnwAk0yTW069lOaacpor6iiR7aiJxzCYMhpB8w/xp6Ehrh4NjH88w2T7VOv8xbLK1KEgZTF5wpPIwQqBc0//DABf+MhK3v7BzfzXRT9NA20Af/mQeMwi8Qemh/DoMiVxmXm9w1QXVYy5vWAIXHrGx+y/BYGijCrCl535OaqjiYwOXMuhByUx58wzWXSKW1w89ax/edovOX/a+dxz8T0MV4mMlOYA0IygDbQpKghQfkr25LI8LlMeV5g5EGDuwqXMOXUp+2fmZ2H6NZ1Ipf09iyaIUjWeovPz7gPWQFmaRxvOo+vWNTqvX8/NnhUdztbSrvGo8ZZVReNM9xWwvM0d/DiW4igpK56gvl0u61/Wh1z2zlgjVYoNtjTX2OCqoXW7GCDdNSrrlwyzqLGZ5S378SX7b1P3s6TR7lufO+kjWefI12W/0HgukiRm6b3UTgA4rUzY49DPPyvRV5E8V45tJf+ycY+XZWIpvrIrrQm4UDQhp96x87hb+EqvmNCRJP8JzJ3XSqUYYVpxbpBvaYHFrj3paA+T/AmKPCrVxx3PuQfaKFBU5vcOEyyeeBR6LCHhTMu6U0Fn2b47WX7gUde7mDMwytkH25nTP8qMJx7Hv2ABk7761QmfJ9M+MnUfi2pq8JV+PCuNKdMmRQqpEFbiN8o52jgxLdCEqaOT36eZJg1x8Z6jXLCvlbKEwslHe6kPxSiRVS7d3cIlu3MHD08MZ4P8qUrTKQuWZL+r4yvHT1N0FuspVLIZbeECgaiD0VYkKwzU6CAG3Ocvzj8REMRSRG9GUDHJYnNqWS3tGMDjN2g4OcDsC/sR8sxi5ne9d0HWU4/GEMVSpnW8SnGsj1nd2zmppYfpZXnSoEwNT9GFeIsuRvItmNA5JO9sCn35Qav/aWubFOTwyUfxCfn9aEGqpsY4jbMO5k7ZHSzaizABsDqXNYgyOCojS/4T39FxMk362AJW5gDi8+nYCfgmxKwTeXfs1/D0qVRntA9P8tP2eyRuueIEtkxa5L42QaBpeoJnzuqlYoadleLXdJa199MwGuaMpk5qC6x2NRGfUvYpVEbjzO0bySk549ENzisLUSKrzB0YZVS0NLTPyKFZnLIT2vtdWQiZ1hCIUFYmUyLKCOKxVRSvDYXyavhWy3V4teybKI9p+IouybmPIFXjLTqXav2dy04kj4Qg1SJMIKh7LOYpOBlv8QfwFr9/QtsX63YgqEhWWXH02Nl/gjRGSecMK1B1JP+ycUFGqeCkvOt8Zf+Nt+RjedenbLxKpwgFFCsa/pJPJRl2Njhq6AMuRv2nTpnPnHnuAGHRihX4FyxALLLn4J4MfeyxNNvS15kjSrvAUXBBABb2DjN9OJTFFs1l/hz65TAx/0r0TqUmNMLM4fGLUHkMD6c1d3PGkS4XwDh50mxevPxF7r74bsqThShEE4rHyDB5r+0/GmirqalBkiT6+906Mv39/UyalDsy6/f7KSsrc/1zmq/0U3gKz8E5KOa23B+Qp+hCSnwK+GBZj4C3+AP4Si+nIpQaDCf+8grjfagTyi932+LuwZxXJ+kK83qHObOpE9lju/eXLP2ovVGN7RyKwMqWHi7d3cLpR7rx6wbF46Qc+VLX680NRArF2QP4CW19+FX7uJJh0pnMZq2Iy5zdNoK89AJ+on2R+80zXKmjPrMbr2Hi160aKc1BFW+dG912pjTe9n6R7bMFmiZbn3ZbaT0jl1yb81p3z7Ed+7Ia+5jLl5xIfTDKib+4nvlV87n+9OuZVDyJs9//aZ44p5t7L2nn7KZOpoyGMYsLkS87j+kf/CTfWf4dAmUmG5dE+eCCy7j9gtuZWT4TqcThgM0cu0MXDZM9xQv45hk/45vnfB/BkME0KZIVKpIMxJAxnZMSMl+MBpkWDIx5PMkw+c25Z/JfF/2UG1d8hrl9Qc440kVR43T0CQCQF82+hPfPsgbJQp/EVVdezFBRhavjWL9Y5MnTJ87G8egGWxaP8sDFvZx1uIs5AwGmlI/NhBRMgcICNxha4a9w/X3lCdZ1ntLSk2ZhzDnyCP6Au1oiaPiq67jk6msp9djOYtn0GNMfuJ+GkgZuPvdmVkxagYnJC6f10VflntybRiQNtBWqKoJgUlKo84kfefjUDyROm7uHs+qOctEFhyidEue4YD8f+N5PqSqqpm1yjKHKQZe+SPoaZIOlZTHmJoXSZ45Yg63oyV/5LmVTZrkBRY8wwuKePlYOtLMyg+mXzwSpCk/R+cwZkqiMydSFx9bwAisyJVWU43dMcFMltTNNH0uAEag+BhZR6jwNo2FePqWPctPgzLKnx92nLiRnOVbFYVueYP7Hvpb+rcVeBcWq9tQ+2cfqk3s4Mi074n3KzEnMrrN1XYqnZ7+vULG7jZx7oI0Xat7Hsg9dTrEmZUXHa0NRpg6HxqTnT4nb42BLAwyV2yzDlO2ePUqpLCL5l+ApuhCfb+KTSSulpBJfyWUUVHwV0TOeE2v3DJ7Cs5EKskW1XVt76vBXXJP+WxLzpT352VE1g+unf5fjK3I53wIzS0dY1DNMbTiO5LeeWWflPApVnfMOdjB7IIAmjf39ORmxq0/I7tMyA1zzTj2D9335W8x4PKMCqJB7XBeAYkVDALx1dcxa9TSTvvENzvjM11l5pItLd7dw9qFRVh6eGMtt2oWfo7BiEqJU5QJqc+morBjdxanb/8j5e3ewZ7Z7IhkvfWepFJUFcSTTxJfnG801KjQUhJgVDox77MWnXOj6W8RgWUUvFFp9tiGYFFVnp3M5JxOFipaVuqJ4JIbK7AmyaMKBBVO58ZMa8lz7ue+ZPYqkGxQoGkWyG/TLxYzKTD8CqI9EkHwGH9F+RWGVijcP0FYdDuIt+SjeksuQCk7Juc1ErNxrUBnu5Ox132XOUbtKY20kzvzi3MEVyTsLj38p9WEd8mgyZpkgMqV8YgUqMqtI5jNnwDQX4JBpxQkFra6PkuIwTB7kB4l+vjF/I9+at55c2q2C4GFS+CAlSm4ft7+kmRnBiY2TjqNS55OoK4jg8dnX7Ck8c4x9wFNw2vgTb+CqD/3CxQiR/MePub2IF48xNtDm0+DMQ+0c1zH+2J6y+TXu/uQe41K2mm5Q1pkxUV7opac4vyaYX3LPExoDEU7oGKAsoTA9WZE1H9DWMBpOaxcfmhpHDJdTHdBcEi2q33rHkyqHqPjELenls+dbjM2yxNgacEu6BvN+t5JhIghQRMJVPGrqGDI2AIt6IhRoOgJQpQRc6/wV36Ex5MFV8dvTSJEwlxWtXXllJQSpGkEspUR/t2w0AUEQ8Zd+knMPHLt2pOhbxMLuIY4WTaen9GzX9VUkfIgTILgUS6dyUssRauLWe2kcCVMXjk24QByAp2AlvtKPj79h0s44PIi36PwxJVNE7zy8hWcm0zolRN/C9Dpv8QcRpRok7zQk35IxzyWMQd4BEKVayiPtSFIN/vLPudjFmhFIs/sNYhR4ClxZEzOefIKpd92JIAhjMto8hsG6xWPP1XJJSs0azM1QH62223FpXMan6ZRnMNU6PndOzn131Y0/fghCEcfvuRV/JIo4DsPVwJ47ONmwtWUN+CQfXtFLqd8eF2IF9jZO3cR/h/1HA20+n4/ly5ezZs2a9DLDMFizZg0rV648pmNNGo1Qr52IIAh4Ck7EX/GNsXcwZc4s7sDrcQ/KHv9SquZHkHwSjYPNnLfpVs7b9m1qONYBGkLLTiAzlaW/MoE0Zez0Do9hYjoibw9d2MGmRcPIosqcgQClCQVnNfKGkgau+bLEw2eLbDs5d4cnnmKxxDKFgzOtwjt2uunQyuwOvyEY5fwDnSzpHGTqUJDqSNw1KJZXlFJaYN3PTmUFFTHb6a+OuCmu06cl04iXnZBeZjqOtXOWwI2fkLj+CoHbl17Gz1ZeBaW5xQkOTQ/zwspeXjm5nxWzbZbcOT/7FVc89QIVl7ijSNPKp7F49nIQ4MnTrJN2fuND/O38v/HzlT9nef1ybjnvFh55/yOIDhBrS2QXr57Uz/On9VK70O6k64JR6oJRTnQwgSTDICbZE3ZB0DnzcBenH+5OR+xM8fj0+osamrPSJZ22eT7IifkMFVXw5pQT+OgHfsM3v3Qrc557Bs07fuTztOm5xVYzbaQst/Oaa8KXSrOSHbpYZYsWZW1X6gBURUwWnX0+JZVVLD7bAkW8GemfpcnqeJJpIicpd2HPIAVRt86TIFYi+IvAX8q8ldb9lXoSNK4MUHSSO3Jlmia6ZNI8OWPibITTDIwiWaViVgx/cuAzRIFpBRFOqu5GFGDKGaPM/ss3EIuLKfdbTuTzK2MoBe1ZwqOTExFOOfUCGj68jPOn9lEZTxazcEyAFuVhmk2fYR/LBD4zq4WLzzvCzNoQhaqOZyJaCYIPj38ZtRGrX1q9fPz0cvGsFVRfdZVLI6UsLufsS9SS7CGnJC4jedq5dHcLc/tH8WvauE5r+tymyQkdA/RVy4REkfoJCKobgoIhup+7IDXgKVhJaFYj15x7AWUF9vPWNMvBOdjYiS7Xcs5ANtj00ROmMrnc3me+A3RL2WiJY/APRSlUdTqLpjKvoYxi08O+yTtc24umyZKuQUq1NjYvymaj7ChfRnya1W4MAEHgoXOs53ti9WSmH3cCh88uYuf8EKtXFiIIPjz+pfzXVZeO84ScD8bqI/TCI4i6gmnkB0JFrw9P4en2rlI13sIz8IyjlyY4+kpfQW6mhSAU8IZ+KiYic0qHWV7VBSV+TugfZMlAJSe3xUk02EVDDnmm8bJ+EotOOgs8thO1ff7YKeplcbsfa5mc7XAOlyskCuxv7IPf+SGLz7+IwqU2k3Ju74g7jXcCNv3s89hVZb3LYnkEfw4QPmUewwFmXvAzDs/+dOqv9PJcuijVM6Jp4CtcCPURG2wrapwg0z9pFQkVjw7dddMZOsaipKfVtqOruV3Phd1DzO8ZZuZAgPdd/DnXuv+etZOaghgLZjXTWRvjxZV91BdEuGBfK/N7hvH7vCztHHA52UWKii9P6krKFvQMs0s5k9c6urksaoPox628kHMOtnP2oQ7ObOpw7XPuuh9z3tqrCRfZ7UH01OKEFqcMhykrlXmk8fvsNudw2GjE6wisnre/jQU9Q8zrHaY0FkAprELyzmJe3wizQtPwlV2JVHAqkm8J3uIPIvmW4q/4FmW+D+MtuRzJdxxgMaonlQe4qHGUz8zYxNuTlyIZ2eOxfMJ/u/4WvbNZ3DXIedtXcd7aqzlu39+pHtk15rNy7E3YO2lCQteaJNBVE0MTDQorcgMGlZE4J7b1cvnUfVQVBinJ8qezfRXBNDHqR5ncWEBs9P8xKynh4JUMELLT86qH9nLqt8+h/qc/wevPnvR+X+lgRsy+n/qifKwvCdE7l6LCy5kZncFnZr6JLPg49YP2xHHRoYfwlf5Xnv1B9B+fU1NxxmCQCs1iqojeORT7S5j9i18wewhq1AUsO5xbmzplNfHplJpjg3y1oTDFcpSGwPiMc1MqBUlnQb27DemChJEBoztbtEcSufS4/H3Komq3v/eNr0qsWVzC1Lvvov4H3wdJovTEE3LuK5omZx7uYlF3D7vnyPzi1C/wuYt/4gq4v954FjMmq1z84TOQFtjADxU1HJxiSehojbYkUcNoGEyTaaOWTyeZJvV5gLiyOqvNewXZ5ZdNHQ4xZSREPpLGjEEL2Ow/XubjC/engQNf2ZUIgoBgGq6+67heg5ObduDXdMwcbGVP4bkIyTRh1Zvtb+SzJZ2DXLT3KDULs1OlBUOnQB2bbFGUg4zh0RK88IEKXqi/lF5HMEsQKzgn/GuW+n7GND3BjnmD7J0VpKA0ux9YeuhJako7OaU8yrL2fmYOBdg8dTLyhMiXIpUXnoWncCWCIOHDBnmdGS7b59l+X4Gi4tGtfkIcQ1JBEK0Av6foAs6aoSM5APIps+5xbDc2w1fSxu4rPYXn0Nj1JlKOOKhTv1SQfBRKhUhV9ly7cPFixAKrTxMK7W8yE2jTJIGCX/0QszK/HnBDIMLSFRPDVzySNz3HKzGDnLe/jdOau5nTb/tZHo/d1zqDxi2l4wNt+6rvYbgU7r20MKf0ilMjUXewmf0OybCKEnv+XzJrRvr3UKndvj3GxCrfvlP7jwbaAK699lruvPNO7rvvPg4ePMjXvvY1otEoV1555TEd58O33kmRZrdYQRBY2mDpTCzoGaJCKObEtj5mDgQAKC2Fk6e18625m7lz2pWohYvwlnyMcqGbohqVrmJroJAMDSIahZ7cEzxDAH/5V0EoRhTshtgQiOD/zDWc/7Vvu7bvrIsz8zSLdl49JZsVUZ2kWzoHOdVrcmhGhKM1NpKtetwf5VH5Yzy1vI4zpn8m53VW/vJX9BWX4jUMasZIWfKPUXUPgPoqFI/9wTud3GkjIZZ2DyEA1Y55tFhYSEWh9aFr4UVMjcSZ3zvMtgU9VIXd9/GZKy3wa97fb6P229+iYMkSapPPxKdqFFVag2d12RyenX0GQ0UV1JdnR2nn9I2Q8MJgpUJgksCMshmu9c6ogNOuPv5qAB49S+SL35aYfJ4bjDt76tksrnHTuM+fdj49tQmGKhSWTlueXj63f4QVbX2UOiZ3umiiOQTIzQKJ0oTiqqBqFpXyun48ANsK5lEdTeQsQjFQWMSNy6/AUGyH4gtnzubl75yDx+vBzNGj75vmdp68vuxnd8Pl7vQ8Pd5IR32cpqXZWke50hllr4gasJ7DX66dRf3PfkrpedmpkbOW2c9KMKGguISrbruH9339mvTyS2ZYz//yuZcDMPuVl/Hc+FMKVMsx76wuR/ZY3VylsQh/+VVWKfMCyzE5/cs/4IITS/nUjNypGJUF1mCmet3P1zQiGJoFeDXWBvB9+0U8JZP4cf3ZfHvplyk77kt8U/kG31K+wSNnvIJwptXOy/z2ADdcLrDAUYlrSjjI1NNG4ZLfc9K1t1P/07fomZ9kSTic8oZAJGc09hvGt/ji7K28b9ZR7pz2BbZKSxEEqJgdxVNk5hU5dVpKZ0YyVDy1tVSek7twRElCoToc49Tmbubc/DeksjIKCu0249d0SqoTfHjKfi5stDW7hLLsduU1DLpq9PR+ZSUSS7sGObmlB6+mE5tiUDl3Zs7r0By6baP+Mqb+1x+t49TnV/7dtEDgwfPdE2dBEPAUruS8eVaU/ryZ2cBvT/+3iR39Lsvj2UCbicmk8gK+fs5svnfxfCoc2jHHt/cTKFHYsHSE2TObqYzGWdxlsUsWTaviw8dPJugx2D11i+uYkmHytaslbv6IxHmXfTm9XBU8PNFwGesrV9L6wSuo+vznmf3MKp760FMUHXccww/fwLx//IOP/eR64jOt9jvqKADj8/v54Hd+mPf5nPil/2edXzAQBAsxatBjCCt0lJh7Aqx4fRyeGubgtDDXPPAkDXNtxyfFfhMT+YtzHK3azVNLbkr/XTpjOmYutpBQwGbVmng9pp/D4rphXprxaaJaKdN6t1ET7Obt02+3j7v8eyz//guct7iR2S+/TOUVV9Dw299S4zmTF06zQcs9de7JnGQYlC6G3bODdNRng4oJn040KaNy6kc/lfOeJMPAL7od3PULBf76QZHgQ88w+U9/ZPar7kpzk8oLUH/4S5748LmA20FWJfv3kv5SvvSHv7Hk3As56zNXguTB78l24woEu999YvYJPNj4KWLFdoRclwSOD8WYOhTkpJYeTl+Q3f9mphE1zre+oTkn1/Hpx17g6/9axbMzfsR1n5V47AyRa780Prq4+Bu/4u2C5fSrlVkaLVWRODOGgsweDHDmRz5OVWVFet2M08+k2m+d/9S6yaw5aZChCoWhS6+koLCIpXMWcMlf/8ie2RFXOkuBouXVI13W3s/5+9uoC8cYEsv5afzbbJry+fT66875DX7dqs4mmTYza1Igkk6v2bLAZon5FTmplWdZWTwB807khA9aDNlvlv7ZVbm7olFh1mCQOQMBBEwePuF6Ysc/wsz2lynSRESpEm/hacwbkPFSQAWLWXToYZYdfAzJOwNP0XnMiPj4r8pdfOaWVzGnTeI+6cNc9I8/s/bE9/GlC37AN8+5hoJFi5j2z7tZ/l+/sm9eKKbAfxHTh0O8/isbEKqUJsY+A5GoVMSyzgFObunhwx0HObW0PeckvEBN8NpJgzxyQRdLzjgnvbxIr6KzLoHikTn5aA+TPWFmloxy5Yw9fOHJXSzsD6S3nR2ayty+MMUOHT+fblCz7A5+V/wDfvIJR0Dw8rsgR+XNSQNbKTr5fKo++1ka5tlsrCJZYcZggBfFi5my2D7n6vLTso6hHj8Pf8XV+Eo+SMNwB8+d/BqiaCJ8v5llF5/P1MXHcdyJp9LQvxnRU4u//Mt4pBmuY9RGBJTErxlozNaZnhNLcEJvE+XiGSzosa7F29DA/O4WTj7wAvWB7IDLaTXtjr8kRKkKb/H7mR2Y5Kq+l94i6UvW/foXHD2/hMgHcuvyJYo0lizdyLfmbKLA736eBiJBr7uf1rzuyerxy7LH0IcufYgrFlzBd5Z/J72s5cKlRMsWU/7j2yg5/XQKFy9m/o7tlJ91dtb+YAVq/ZrOm8tkC9cWBDTRg2ehHWhZcdw5XHjD8/gv/xuSox+ZV1fNdf/l4crvSHin2lkUJ3QMcNG+VhY6KknmS7PrWG4FYyVRd/llfk3jnAvez8d+dXNWOyhwsCjPWTBMic/g4spWPjB6GDGpD2YKIsd39OPR/z/t3Xd4VFX6wPHvnT6TSWbSeyOFhBZCD71XkSKIFGl2QUREsK111V396a5Y0LWga8PeURdUUBARUAREegm9ppBC2tzfHzeZQhISMIDC+3kenofM3Jm5U86997znPe+poPnuQ0TvW4qtuLKUTw2zT/TmFu7/l9QyjVtvrl7zy1pWhsGl0naYZ6ZTVTBJX6Et3NN2+z6a7a65jJC/vnrQO+jYBh4Y8BB3D0rnusn9K5/UWhn0KoOuk+n9+rs0HjiIGTOeISzB9zeXfOAYidFHCJ3QlKCOE4jO1Y7j4U+8TqPJN7q3M/lfgcHSCZsajdl5k9fto+k5eDRtByWguCpos8OTrbk9woVOOcAPLQ4zeuLtrM8sQ58WyaAhV6BUro6uM4RSFNqbN2NG4jrps9ZVrtrcz/lv2lq/Z/JNjTDbOxCfMZ7hbXsRm1i5OJpX+aewIs+1Q0RhCH6lCkn5a2v8PKs02fIJjryddG6+EQCboXrmvqIP54RhLQadgYi77sLWti3RT83x3V+vvuvJv+EKk4nxTceT+ELtCyspQI8J15xyX6sUNokjc9dBrQZiUAy6yscnHs4l5cAxSoylhLfzXGN5L1SU7Vd3/fwVace4YaqBH+NPkFIZm/EWcnSj+//leq9Brls9izR61123NG5M+R33c+Thp9ge7PmerWVnd2X7MytIcA6NGjWKw4cPc88993DgwAFatmzJl19+WW2BhLqYYmJwxuWw3+vzbDflRlpv2UTpipVE3HUnhStWsO/pZ4g36mjSah8cgl2WdNbcNZSSvIGsf3g2zW0LWO9K4L2I25k4ajnFb89nS3oMW1wROIr2k2ez0GPwCL799D1Ay25RdDbMjmux5K8iT9WmsbXcdZDcyDAaJTfhtyVP0HSHFvUtMbmI75xFRlJ7wpNSePZqTw2bLht34ldaWRPIK0ZalD0Zc8gilgQOZjpPAmA8aRR3atuxrM4eyJWt21BVDcQYG0vZ7t3og4JwxkSyIL4LkzcsoN2O/eRZTRgrXCxO93ScTJSCXxh0m1Xr53xdi+t43vgjpspjTtsd1S8MAJxesTzFasFpqzp46wiwBuF/8ABFVj2hXgE5W/t2hCdqjVPvdBJyww0Ur/mVlN9+w1paTlxMPJde8hjz1s/jqmZXsTJZYcG6/UzunMhrTyhgLCG4oJjkg7ncOVFF1WkN8JOhn/g0xlPJDMvk0a6PMuu7WZT6m2keUndNqLs73E2X6C5cmnwp21escN/+bi8zV39W6rNggTa1zmtuvsUA+I7OVvjZuaXsRoa7vmeN2oiHeQFrablPgeeEw7m82/VGgg1m9nsVCS8pd2GoXFmvzBmMpVgbZVl69Qj2bvqADzopvP0Pz2/HaK4eaBvdLo7fvf4u2j0Zg20r1155Fc683Sx86RmKDmgXLAaXC53L5VPIXkHhxMHB/K1vH/rE9yHIFobFawrs5H8/zy9ffka7ISP4deEX2n5UTvXWnXQBPavdLLKisrgk6RIATPHxREYGw5tvubfJt2lty+iyuKfn6SyVK2aazGRc9QDMWwlZ1bNc/9n1n9zx/R20KA4FPCdvV8URULXP7lDWDRDXAW7dyOiq31Er+PSHzwHo4O8JzPgZPB2xUkcMkE3ioVx2hgXQq8VWjAnNwF87toX4W3gydCSjC7STReP9+wkscGGucNFy1yEWp8dRZtC7O6yLaMtYNZRsNYwSvZnpZVNY6fqar4wdWLpyNLYZN1B6wLc9Ntt9GFN5BT8nVo7oVQbaNl8yiiuuH8gToSF8tuFxtv+0ElepdvEQ55dDi9+O4KostGipDB7Gv/IKPDgbgAB9IVEdcjHZtd/S14ca4SozEtehLQffW+yzD2UWA4PU44AW/HzbNIC2PENIQTFXjhiP84orKCkq5JnJ1QMb3qtEOgPisGYOY+q8fuRW5PP61VdX2x4g36+cilqmEFors3P0u6tniX46ayjRgVZWv/I17IGoDjns+zGQf2VezpgA7Tc2q7/WgVu6qpTtaFkXisvIR121iyanM4+E5C6Yt+4j+Jqr+WhqZxRFoekJJ1869lNkzSXmsJnAwhNE5hbwv4k/kqMrJtwWzkzzKqJKDrDakcl+i5YtoHcGEn679pmnAG8OetNnn3vEdueXQz9zzLqHDNsnOPQHMJqGkprZmciUxuzf4rtwgavCSGxGa1redSv6+aN4rTIOXKL60/mSzgzfVsKwA+8RVqIdmJt068sHfEen2EwURWHYzMv45Ok97P3N3z3afqLcjrM4F//iUvYGaR/wb/Z0Hpg5gQE/adlYLW+Yivm3/ZR1ncRzLy5k+IGP3PukV8003bYMwscB8Df1eja2iua17in8vvxtOKJ9V4FBTvdjbHFxhPprnSBTTAwR9/wNgJxHFF7Nf4930NrkVl0sLfjF/TgdkBwcw1fGLQworCEjU68S22Uok6+agMnqe2y0Bjgozs8j7HgRJzy7woFQP54cqh3Drw4JwdG65kLyN/dO4YixJX7F77Djf54R+ZXpOXRab6H19nzCjm/DLyGeftd7BujMUTYKcWHgqLtc8pphN+O35A3KzLBfbQ0mI9ZQC1Xh+dcGvEZc+AH0028hcMxoSiITqu1PSEULjlmiqTihBYAHXjsXy6FfMLUYBpULBzw1JpO+Hym818X3/Lk3VEf0Ye28lnD8KDv9g2kamk+rjCa0+/wqZga+SdautWyJCKTYZCTfaiYj+xA5dkj71z8I6ngJil7PLwEtMKplRHe4AhY8DEBwygDSitay8dhGOmQMJ2XZHdr522jk1d56fkqB9pUlXUL79uPAmjU1ft76Fh0wf7cIgMfHteXz8hCGtY9lUdGDhCYkodfpUcxm1JIS1E6tiV22GltpGQFehZZLgjzH9uh9P7AlyjM4GpNzHGtqJonRQSyY1oUop4WXZr4PR7Vj8NZHv+GZOe/Rs2An7Uf15ObGuQwN7cm+f/dB8aqtkz0YntN9yfw52vsocVgpvXot89a/zLz9BwhodQ2YbDS/+T3SKlRMBh1HxlzD3qU7MOgUEp97v9p7N5QX0X71Iywb14GrBk/n9neOM3Tb9wROn4Vuzix0LgM6l4tSYy1dBEVhtzmRLi6VkIJiDoSH0DlmI+mFR/l1WyQlRgNtMrLZk+3k9pF6UBT6pw4iXOepF9x053qeH1hKhQ6mmI9hDfENTiheHcakXQsxuFS+bGUjqfIUFlhazpD+3blmsHZtUJx5FQa9DmOLkaiG11BO6mSqCuhM2vmt77U38ckTD5Pw6xJCdmjf58y2swjqNBTeeRGAXv26cviVb92Pv/m1D1i3eCk/VMa1TKV5mIMCofvfMdu0QMfl9zyMq6SETfPeIOTIrxwJySDxwG6yA3WUGFzE5hwisPA4/xmo5+2cz/giPZSmvR7nh6efA6DZosUUfL0I6+zbCRyrDYrbsrIIbl3Cd0fNNN2pLfj1ddMEAIKLCshqG8/e7Jbs2QqKTjsm6U2Nicj5FH1JDidMBnL8tNtNZRUkH9SyesIuu5xn0Bb0ePzzwdUWL+hkPkD3khzQgcFwUsaHorDS2RprxQn6ZP9Ers1C1ElTVtM7d6cwL5foxp6AW4vQFrQI1QJEiR9/RMG339J40iQuMfumLenMZozmmlOZ9oXryOnejC+jfyfYEszfr2hJiN1M6FEnvz/xCAClBn8CLJXXjCYTwdddR0VeLr26teLet0HVKehOysgzuFQczfuQt2cxAMmffsJXd02v9vrtLpsOkXdT+v3rKF8qmOyXE7F/CbpJrQmbfhtqWRndN+5mQYYn88lhqx60Ghn0ILHBhxlcmWSl2P3JHJlFy/XvkL3+5Gm3NU2F9txW6giBk2aGt9x1kBJHHltjhlNW8IH79sYjEvHrNAN7Rgr7dx3kcEAgR5xa7dVSSwmWtpmEb9iM69hx1nutQl2ks2FzFdHjjnuY/9gDPq+lU8uw251cnaEF0ILaWNi5KILIzQ+yIrQNA0fcjFGv456sewCoaLOL7HVr3I/v2nEbgeYT0PIyin/1/A4HNI/k5x2e40Cx+hVdfz+KX+E+nh1yjPTyEaiu4+gM4cSHxpAwWCGxYBVHvttBiKMtR/KO0XTwMIYMnMwtRu3ae/Dtgz3P17Yd3z5VuWK7LpajRgtFocnYD20GYHHLw/jpfqPb0WMkWX4AwB4ZxQ3P34lOr4ByOYcPvAk7ANVzzC5unQW/a++v1Vatz/d6Wh+C0BZyUVTVJwPTpJYTdfBnQpoeJ7RrAjH7ruWbfSEU4LsSrFkNpMBUhqIoGCMjiX/tv5xM51VvPHjgQNi+3v33CZPWpqzNaq/pF/nww9XKM9XmWM+WvGvfyNYoFy/osihaofUM75/Qn9AjX/FDk3x6hkSStvcIhwNsND5wjB9StAB3ma7uLDLv6/TuTz1L5GOPkTJrNs8/fBcAfiUlgOc6LHT6dFAUHN27wfOPA2AP8i3p0HyCdsybse4z2qKVhQkorH1xr4bwpw+0AUydOpWpU+uY6lkPVtMJnxV5jX42nAMHwUCttpO9SxdSu1SmXefspPzH54nLuhHFqMcSYqXTXTcz+vEYlpc3pZ8aRNxdd1A8aACG6GRK/vU8zT7Tlgtv9Eg3d6CtorIfqCgKxxwm9JXf5wFbEImVCwcctxYBWkfthKkCq9FGQkvPBUmV2DlPkP/gP1k6+FoqfnzXnaFcUZhKUaHvxbt/hW9q/M29UziZMTqauHkvo/f3R2/Q4Z+UCJWLpjqKq49MBvRrA5O+glMEpcL9wvEzhAJaCnax4oejhrp1G2MgrXJwUmexYjN5Tho6g54KwFGoYqu8pj34+qd0a1V95E0t10as44/mk/bdWyh6Pfd1vA+A2FYwvJXWqDdb07l2/acAXDdVT46/QgtnF67KHEGE3+mtxDYgcQBOsxOb0YbFYKlz+xBrCJelaqNHRq+pUW2GXA2f/cuniKv/CZXG4f5sOniczskh/GwPJWG7b/aS6udPXrmdeRUDiNVrJ4lWOw/wW0wIqfuP4VdSxoJJzfn2pn6YDDp+25fHpU8vA6DYKwC7f/rd7H/kft5I68vw7kN4P/QjAkwBgCfLymSpPRulyrWdmtOhUTfaxIcD4SQ/OY/HR2mBL32Fi+6/Z/NlKyOlunDsxQb2263EOgMZm97T/Rw2h5OJjz+L0WIlICSUnpOu83kNi77m31yINYRhKb6F5+2mmtPoD0WGYqkMAOurIioAISkwc0uNv+umwU35ZOgnZG9cz7vferKAPCsr6rEP0rLpTn78E5dn8PXGQwxv5ckMSXAkMKHJBJwWJ9uObQCySd9/lJiY3YRYivD+MRj1vmVJnxxWxpzny1iTqPB1S8i37uYW5yT0L73q3uY3NcH9/xJMvFwxgKs7J6Lo9Qy6aSZv3OWpV+h3opQmybHk//QbtpIydHYDZZWnhKJWWRgrBzOG3DQLl6uCf40eor1jo4Wojjns+S6Y0Bb57vdtbdaUT2KyiDmxj2UdpjAozxMYm9roJ34kgyadruCVkwJtH4f3pmfwEAbxFAD7/IJZNGYmVw3MwNZGG5G1+NU+NaI0rpSs4jLu7qMFU8w2G+HYyJg2iS3PvUqJ0hLQobryseq38FtiPplhmXj/zqvoKqdT29LTYKUn4yBj4CU0CtX2wd9Pu/BzJBTzaYeZpDUaTLdU3wvjkJgY3g8fQrv9m+n8QFc4eCcAqk6l5b9fqPa67Yoi6FGyjm/9XXT40WtxF38HEWiduIWhPQkqy2Gn1TP44X3crMm4JuN4+LOddC8+TOeAymkORu1Co+uYSXz8xMN0v/Iqvnz2X9pnadRhNxsJjEkAkyeg4FL1pEX4M6pjKq/9OBZzRQl9A/O5ecIYhpg8xfyNZiNdrr6ed2d7svPKMdK5subY462ncKLMxXGjPy+nN+Pftn+zJXcLPVtci9JdYf3ePPZaI/msuZlL1mmv33HTFnZElgNaoC0myMq9Q7TO2okwOycqFyH0txi4tcsUHCWFzGpRczDrUIWdiWV3MxAtCL7XUj07scRl4r19B1CAx0+6b19oMf38ozHXkPF81ZP/YV2HDviVlnPc7oKD2slfMQUAh1FdRvR1rJwbYtPhCij36QIedpZQbs4j7HjNweEyPz1DQqcwP8dr6qwxkaeemIufM5AjC7Zx/EQZQZ3uw5A9Eku77ljDWkJ/sH7XCkNoKDmbNvo8Z5M9h8FvC8cbXYpOF4i+8HMCYhpDjO91SaRXtrhO0fFuJ4WRy1Tyrx3O8VffI20PBDWOpJ3pF8InvYApwILJoOO5FkPp8cNWMiqzxFxoQc69wRDQcSCKXvtd/xLZlcLSCh5I9mpfMW15pdEMdh/fTVqQb52oBcMWsOOnRexe9irleh3JN08n/uhR8m+4GhTY6pXpmnXvbHb00gJtMQ4rt7TSfjMj//awe5uk/31F2b59FK5axZFlqwk5qYak05EE7ARAQcVgUiivbDYGl4opTmurTaK0wYixt97G2/fNJmvEGNplxBB87wSSQu04rEaqKrOVTpmC/XgJe/NMxKUH0Wviv3j1yTnAGm0DvZ7prW/mmmaTseftgVDtO1EUBVNlbd5b+qTisBoZ2Lzm6XulhgqmXpfL0utfQqfo+LxRJz5v1IkVLdJwBMfAt8vZFRzAhphQWg8aSulz/+GEwcCWyMrPTy3nhNdlSXFlUNtoLyeickZEYGAxIWFF7A3Rgo82g43ASN+VmSv0CtcXlhMQV71EgTElBQ5oUa3El14id/Ua/MOyyDr2Nrm79tJzzosoXllU1iGezFh0Ok4uy2Iuq0CpDN44wsK58h9Pkn3lKAp3aJkmv9zbnwCLgXnffU7piROM7dOSf79S+WDFjMFkws9hA7T3Zy7NJ6XlJdDsMp/X0ZnNBF45jmavv0iZ0Z+dDj1Zm/PJt5lJa5PNT4kG5uSXE11ewdUcgC6XoD92gsCIKPR2PxxDhmBr2xZDZKT7ew1s5iJx53HY6e8zLdxu8oOJn5G4Yh8H93nasKNiN/7Hd6FTXWRt3UeJQY+psj5YTaInD2TvS5/73OYweb4Tg8XGyQu2lelMfB3ag5nLtMedSPcddFZ0OtoOHl7LK2rZJZbG1fs5VWqa3gtw3AKTZr1I2YbXuDTpUuICtOsrNSmYr0O6c9AcRtZJiQZht0wHoNzleQ+GGlZnVWwBJH/zNa7CQkyNas70Ky8vh+AknA7tHKAzxuAMbUTLGVrnH5OJg+EBxBzNZ09wAE32HqHvUD37DxXjiPccP4oUK5vxBOZDpt2MrXkBFbt9B8ssTZpQc7VLyDH9TmBpOokR2WyvCKIgx3NNo6gq5pI89MYEd7fXaigiPCkMOmslHqJyC4jIK2JxI+35zS4Lcf/+J5iD2NymDVlb9rAhOoSonAKWjn+QGwc2JjgmjszAvewqDORYqfYZKCYjJq/peqGNkjDs0lZZDnf5YdT7nvcy+g6kMDeHFR9qtU3N+srvxRGLX0ft+6xq24pXwPWH5F8YvEz7bvc4fifdMRrDjjjsgWaUysSJ0NGX4+zZjUYB/uTu30dYYlKtiRTWpk2pGkD3Lw3kxoFR6Jeugsq46L7QYkqNSwlPvQ8dV0DBAQhL9zmPq9bKa1Ov31PzZk35oTLQVuWE3kTmlHuwHdlByfF8Vi3Qamhe//xrGB5PRY10YXaWQ5MhBAzLhwXrYd0Gn+cIP7SKfbWXPgTwWQwh4trr4HYt869F9kEK/E49vdWckoxzuNafisgt4IDTfspFC9p2uoyHSz5iQOIAYttO49Ff5rEqRUe3Ll15YbO2aqte0dP17//gwTmf0L7oC8JzC8jxs3DY5AkiFjZvhN/abSQcySPHz0JeZXLE9Mzb+Pcvj/FQ54ewJWWS+YbWNiKjY9m/dzdxR/PQqSrbwgNJOlFByPWefuPEx5+lvLQUaw3TlAEuzWgEG7RAW+PTqAN4Jv4SgbaGYjipboPRfooVYwITMAx4xPe24CTWGTOgpJxOySHoTCb82rUjBQhpncCBz7TNdBYzaZ26sXHZEnbGGMjI1W4/GOSi+xUP8t6Ln/Ba18Ysr8yC6JrUh9IN2lLdBdZyrAZPQzHb/Cgp0q5oIrv1JbJbX75ZvI0vduQz6OAXDL1+Ck99oZ0QTV5TSIIqap865f48QkMxxXjSp+9+5Ho2ffqM++9jdm16xfqYUAr9DpLU8/9OGWSrUpaYiXHtIo4ag7i1yxje+OrBatu81FfPYy9XVH5eFp8Dsc5goAKIyPHsZ/c2Na92p/P3BEyqLs5r8lliR5od3UFhchQ5/t8AcGn81fSMO7PVobKiTq9GYBW9V12xwS0uZzf/wuh14VShuPjP+NbEBtpQFLhyQRCzDbtJOKRywwLtwrE0ONSdXFWq05pwwIlSsrZqQ71ftlLY0yIUa2UnvEWMk5t6JvPKDzu5sbtnlC2kaRpju08HYLLFn0UjFqEoChuV1wm9TwsGGE01X+xYmjXjxPr1+A/oz50D06vd375HPzZ/9hExOccxuFQqDC6+bHuQllscbLLG0Syq+gG/pqnSLfsNYs1Xn9Nl9IRq950uS1m0+3pFZz4pcFPH7zourRnft8lh+rsnWJ3o6byYyiuIjgqp8THDW8W4A73eZrbVpubN2vAv920VqR3B9RUMeNRnW++u9RW9p3ON3xzu7/0YK76fQbQ9mvaDb2LH/77Fku47TeOp0Zn0Tg9nxY6jZCVpIzoRyanMmP8pv3/2Bocf+Bfxlw4l+tZbsX/6Gat327gj91ZW5u6iyOXAEux7kanT6QlvlMzB7VtpdskY/APzSb29K/ow3+9sl7Elu4wt6eoIhom/8uH8Fxl28CmMOhcmo4GAoOqf1Ra/FP7ZMRQqkxCv753GdZdUr89ibxRDwfY9mALs6NFTnJ+H3mTh360mUng4mtio1j7b9+50Gb3aXcr/Bkxna/JlxOxZTIv7RzOiSV/sRjv/+/1Jtqz4Hp3RE6DQVS7yEnzddXQoPsicim/ZkFjCugmeYJLNa4psu/QYUrtV7yzoFYV9tig+SorivqaJ7vZa28R7nd7CwMIiXkpzwMKaf4sT+7Xmhe93cG//xtz/qXYBVlegzagzckniMFy/vu0pc1Q59SOmSTNufOENFEVxB9osrhIiHBYo0NrHsKA7WZY/iUj/zzHoJ3FlVjyv/biLEr2ZJ2aPd2fHejMbfTMRenRtBtu1TO57Rnfmprd+4d7B2u+1V3wvesV7pi06KksI7M2/HHgNgJf6KvyapKuKZ2A3ey5b9F7H/JRwOxuCtSnGGTHOGj+P+y9typQ3S9iUPACjzQbHFdYENKdl/joAYl94AVf2ZyiV113eI88/NDvK1uhCwm01Z9ObbX4w835+eeEVyrN+JXKbtp86i4PC7WNRy+0Y+tZx/izKQWdQMQWU0W7bPt7vGkzHEj+SgtoDi2t8SJMoBy6lgt4RW/j2YBIfhA3mmuaRBEdrHZ//G+lZbTbwubVg84zwVo1c20M8V+/N2mQQ9+sHHHVp06v15qaYS5499X6jFTh/t0sFn7eDuX2HcX3xhzQ6oHLjqP8jtlEkGLXrmp/u7EVhaQW2L10cuO8+7TOqfI4jDgWDzvP9Lp3dk5yiUmKDbDDlJ9i/FlL74aco1YJsALEBsYSEtSZ0l3Yc1QcEAAqpB3M4bjb6BNrMUV5TY2v5Wozh4RjDwzmxvuZVz+ICklGU9ejLrQS3bcruvCJ3oM2vaxecI3yDMBFJKUyd9w76yozAVnHVa9qG3qQNKk9wqegqO48hXqty6wxGFEXBbgkAS/XpeaC1kWm9qg+uet6uju+v+9VdS/b7WT3IKy4jPMBCuX8I+UD80XzavvU2wbHxbHxYCzl7B9pspSpx/32V7Hc/4nDTZNh5C5bYUKoCXLqTsoYNOgOBkZ7Atn30FXw9chKh8wYD1Wc+WNq1gU+0QJs9Kwt7Vhb/BKBlre/L/f4MBrwDQykHjhFcUFx5u0fItJkUXjmegEsHu2dVTHx8LqqqovfK4jJWTp20hwRTFWgzlBVyQ/vpNe9AhQud6sJcmscBayqNDx/DlldOeGApQ06qOwzQbojvqoXGKN8BgH0p42iy7zl24lsQMcymdSLDEgJAV8Q++14ahz/E5UcKyRk6FL9Bk9l99dWYyyso0+l8SpB4u7THBO5Y8ilxWz3H8xibpwC6PiIN0DJjLrlpJotW6/l9fz5xQV7lapJqD5qdCYNXgCX62HF3NnSFquIwO5ia6Zt8oSgKG/y1a9ETZTW/T4POwNcjv0ZVVZY8/mS1+0Ouvdrns7fY/ThR4IkoB0ZGEdNEK3qvTx9AVUQmcJRn5pGiKHx1y31EvHUrnTfl4X+iFP3Il4k5MQzKtb7ab654vp7RjQCrkbdnaoPgQZF+EB7HrvFL4ANtkDLkxhsJHDeWsGdWsceTmOTWPur/SMhJI6ZpOm2vfZSXpnmy+DckV1DQyIq/12xwpyUfOnsGW8PvvpuDf/+7+2+jUoLeZgerHwnvvgsjR9Jpi5YxPmByD3f76XnHM/DTC7z26Q4OldhpO3UyismT0VjQ4VYONl5K+KZj7Bo2ng4n7bdOp6fT5ePI/m0ter0ea4ofOKIhqScWRSHxg/cxVC542LRrT/b8tpbf/fdzqHyn+zlOmCA3YyM9G40ko5fvNMSqQeLwRnWvkm6x/MaJE02JtS5lQJ+7+XJrAJsryzrnZk9DMR/m0uGdIf2yGh9/3JmCxbiCAF0k+QExdLvkEpr16ENu7mFiWmXCGK3sR4WiJ7FJUxJD2lGYm8PvP3xHaofO+DkDofXlsOZ1CGui9UVajSe9ZCnbTgq0KWo5eV6L69XEe+qoJdLTV7GXlFE8onr9Rl1AAK58bYaCYvK0uea7DxN6vIjwGupsV4mLbsIPY35Ar+jR6Qwk3Xk/uQfWMrXDpSiW3Ww+tpnMsEwMEQb6R6Sz+2kLrRZ9iGKzMfD5vhTsScVamkd4y2ZMeKIL3+hd3PeGjlWJESQdyqVT2uWMTh+Bzegbqxn+4P+x//HHKOt3BamPPkREXgGBTt/MtZr6k97at0zjmwUf0HpbBXWskfWHXdyBNlvd2Ton+98tXflpxzEuOanQp3cBQsViod8N02k9aChffvEZhbna7ScMxUQlJrAkRsvSqAqE9E3qw2dogbbjtnKfLKmsEWNY/N8XaNTas3pb36bh/PPLKD5pdgN3desFX2gjSqVeqzb5u2rr0kHM00+RM/9twmfd5nO7zmBgszOG1Fwt+yDP6CAxJ4+o3ALm9G9Bi4i6V0kCyE3pysoDOvZaojihqzlQU+h1s2KzYvQKElYdzMNytV+/IbLmUVmA8NmzKNu/j6BxtReeBRjcJoF/mibz7g1teOHrb1BVBbv+9KYfNwTVK3Ri9dN+fzqg+e4d6FR4tY+OO4169wW2XmdgR6RC/GHP48pDwuCgdvYs1Vc/6L7fSUcbg28H/Na+jZneOxW9ztOjyIh1uv9fUu4i3E/7nHfaPUEws7nmNhI791nyv/gSx7ChNd7fftgogv/t6Zy5KuwU2IpZmnEU5WgQ/x1UPThXk54Tr6PVgEtxRtR/ye7aWOyrOVHYi0y/Dyk133Xaj98VXsQ7XUtpubmY45Xt3VheSnhA3VmNNSk0B3LHBD1Rx1RuvOY+CJ5XbTXfsHAbFGht+armkxnXZCxmvZlF4YuwGCzoTCYaffopiqIwd91+Fm86zN2XpONfOW2ie2PfFHBFUWgyeBzlHQegDwrSRstHXY7pjdVEHz9KfPBsFFws8FtXbX9H/u1hju3dTURyKihKDZMZYHb/NJ5bso27B6VDoD/7/Ju5g0wunQmjpfpnteDWXsQcya6KoxAWVHP22tjbHuKnT96jZd9BVJSX890b8+g4ciyt1UBSw2uuyK4YjcTu+ZbAnE2YSvYTk/ELRoN2Qdjv+pvYuc4PnUk7rvV1PEaRQbtg1vv70/HuR/lx9ROMdvoe9/ysnvdgraV4f2yQDZtJj8Wox2HzbN/Ya8EIb+V6bZvnjh1klzkCv+p9MWb0bczUnikcP1HmDrQVlda9wMV9g5sy41evaY5ex4yqkd5eV93I1y8966nNYQ2k1Oggit8ZGTKL7WhBidRwf/47uR2xQbZqo9RVTCfVDGs3/Vr2HNyFo1dP0jOi6Joa6g6oncxp024vVfwISkwl+9gmljdxoeoUnryiJU8u2sJjIzyBI+8AeaTDyufTOuO0mdzHz5MNahHJoBZaBvsdH6yDn7JRvaIs9i6dSdtaBlu0em/h+eUccBixFrvYXLnabJit9mkVSrfu3LnBzN8tUzy3mW24SrROg6GWzFy3pB7w7d9JHAqBoz/myufXwhEYm3IAvlxc40NaxwdyJLoJGbolNHceIGPMK3RJrjn4j73m4XCjw0FofhH5VhPt2/Vl/0sfEJTzO+m/v4p/wR4+G1L7ghbj0sfx+u+vc3u728kIzUCn6IjxjyEiJI3SEDtdG/sG7Z02E04b5NTw+zkS4FtTJdDPRKBfZQcutLE7e+tUdCddi1XVpPKu1dasRx8URSH8rrso2bYVa8uWp3zO8iPVV+x0KRDviGTPVRmwdjPX3fhvzN8sYvF/XyStUzfipt1WwzPhDrLV+T68fsPdk+N5pZeOcd+64O4zn92hKDpU1UVgeCR6rzIMsUE2qrqqodNupvjnXwgcN5bguAQAEj/6kKMvvwy7tOOOSjlliopfu3akt2tHOsDeDIyBiUQ2XYxSsBel8E3ofR8s1waWDDoDRrPFvQ+JEycRYAuDy16EdyeCzgiHPUUpKupRU7Q2/W6czlf//If775SDNU8NsrVtS/K332AI9bQL7++nRe/+rF30JV3GaAtJ2MOjAW1Vxs1xKt2MNQ/WG7ymXs1tOhoqPqZnexc6Q82lVOri7Hcn05YbmM7b6IA22/eT42choVkCAAH+ZgyBb3OP4VPMx1UwQ3i/1pDlWZymtiAbgM1o47KmI1m5VZtmPCx2PaEWTyaLIboFVYE2Z1QMLzeP5tlvtzGhYwK3bL6Bbnt+oc3Yq87ovdXGO6Nta1RF1WLDmGJq74eM6xDH6z9mM61X7QGWquO3etIiPY6OKRjjfYPT1zzzCicKCjCYTJgsVvRGo+f4FNEM+KbG17ijf2/uODaNznkfEjFmLMRnwR272b9hGcs/f4WfYibySIgfiqIw8o42HNlTQGwTLYjdKC2Dguefo3jdekKm3IiiKAya2pX3Z7zKkSJP8HOfbRNTThwD6w9gSsMa7pmZk3zgGIMXr2bH1gN8+bgn0zHH2bpyvzVB48bi6NEO9cnZrCm6lDZ+74FBOz9amzfDnJZGyUbt8T5B6viOEN+RK0L+j9y9Ownp61vWw24PYGLaHfgnFXFbZs0rjys6HaMfeEz7/0kD3RavxdFMVhuDZ9zJJarK5MLDHH5Sq92X6wf5+mN0Hln7gEJ9BLa20njds8SlGjHqdZiNnuNiRWkklEYSUMv1CoDJaOSfNu34cfcls8jsop3vBlw9DYD1JjP60hJ+CUshsPL6xs8ZyHVzX0Wpyozrdpt2bmvl6cemdujEpUNG8cnHb7tvizuaz/GAU68+pOj1pCz9HrXChc5iIfFIPuUKOIpKiJ/sqW0fNGkSx+bNI/Khv7P3Jm1fvbMHw664AuObnuzKsDlPkF9RSHyvSzn28jxsbbSBbe8VhEc2HsnIxtqqrzdlemroAfRMC8f1z7s49lo8/v36Yg61Q6jnt3jp4Onszz2B/eWn6L5RO8bajOYasxEtfn4k3nMfAL8/+hCO4lIUaw0Xzaf6nBSF1elHmPBdBXUv6fPHXFSBtryEEVDZf8z0+xDF0PPUD6hBlNPK0MzoarcrXqNfOrMZndFIRFIKQWZ/d12UEkMRreKc3DUwnWSvVem8UxvLDSo2g+fk3WrAYELjE4hI8hxMkkLtfDuzO0F+nhGEk1lrWHWqin/v3vj37l3jfY4ST/TaVtmJU4BDYZ3cNQ/qMqZjI+b/XL2Qo7dCC5TGhGLacxjHkCH0Sgsj0mGhaZQD4+EISrdtI/OQDSisHJWumTEyksS33671/iqPX57B34c1w2YyULDlTlAV8tLrsQpjQ/O6eNQbjBijoijbt49/DVfYE6odUB7wCpJVXQwbvbL2Cyo8B57Sk+a573cYybOZuLnVtGovrT+p82k3G7hzYBoLNxykV7on6Gj1mlZpstRyIRkaStD42oObxvAwwp96moOVo/OluR0ozT2OzbGFr2+YSZD1FNmkXhSdjsDI6u2tLlX1krwFOTfTw/oBAfoDrDDed9rPGWoL5fvm+1na9BATvtSmBBlcrmqBhfrqmBjDP/IUtkUp/N0ZWi3IBvDk5DY88OLPDG2rZcZVndTC/TzfV9WJaEDzSAbUMlXoZIZg39GfQJsJi+IJAtkt1U8NZpuNyJRTd3Rv6J7EdV0buTuJJRavYHZlgGfAlBns27yR/Vs3kdAik5Rwf07ken7Hl7SqeSTKHhRMz4me1PDL7rgfgLre8ZGenQn95nve7KajpcFzzDTbbDgiMyk4VkLXgOdJsf7AWrNn0QFFUbi1za3V98MrNd9cy8q9FqOe5Xf0wmzQoRTuZWH2Xo7qdcSWV1/JEsBVGWgLrXDxz246rvqfi0UtFU4OR5sMOoLtZsa0j+O9VXvo0bj2oE8Vh81ISlw0VM2ErSE4n9FnAMlt2uMXWJmxojfwy9Cvaf9u5dRdr+n/XVNrDtZ476M3ncVC3L88kzBrC7IB+FuMDGkZRUmZiwlj/49LP7y0qhQiQ1pGM6Sl77Eg6MpxFC5dil9nbQW1pjVkytZmeu8Uvtt8mMyWfeDDte5zrD65B1z+GoSlcyxlL/nvvsn81E6AttBGqLX292+ovHCOL9GzJRJS9sPhbgNgf9X9dQTaYtrAtYvROeMJtAYC2rS22DGXk7dqKfZOnWp8WMjAu+GlJeiSe9XrN3EyxWjkilfewlVegXpMm36kAJEHf+JwAJSd4iu/re1tjGsyjmi773fz8bB3T/2aNRSsPxhYv1qpp2JOSSH4+uswhIVpx8aqEX6vuE23cVpQIOjKcfV6TmNM9XNQqQESA0OZnvUkam8VRVHIHDCY8KSUemVSnI4r2qTSP1vH/1opfNv1NFYNPsnoBx9j2Tuv0+3K2oMipphokhct9LnNkpZG5H33wSRt2nmh0Z+OV5w0PTta63g5L6uaLljZ0aoMtFXN1Lj+P69RnJ9PQEjl7zSiOdy0GkqLYOHfIF2roaQ7xQyFujRr1ZnwR5/iv7O8Onu1TNs2nmIgt9dVN9Bq4BCCorTzr5/Nyp6AzThPhLGi515qKxkeNP5KSjZvxr9vXyboE9neKZ1Jjk9h2ZeejUz+MHJeLc/gy+Fv458P3ElZp5bkPvpPwnJzCTtehCFLuzZ22Iw0TYrCnO31I7dox0JjXBxl2dns8Qvhu+iWjNm8iKDJk6t/Dl6BrUYZrSBzHLyndcz1Ma0ArdOt0+sJd1h5cKjWSd4SmcK6kCRWp5zeysV18a7Rti7RRbvKGGxyYO3XIA8Oacas/mn16qu0uWQ4ezasJ7JE6wcETKpee9pksWLyWoG8NifHhAMsRp6ZfD1M9mTCozcS2bw7w5t3x3tCbVh8AGHxvn0ce7du2Lt5FoOwB1qY8K9HeO2BBzi0VzuRv2GK4yH3Ftpxs39cGttXLCMtIBidoiM6MhTwBNqSU6svKqWPSKSJ7Wua2L7WbvBK9FDrKBJv7DGTmk4N/hYDKArHTX6nrH9d39rYVduG2MMo/Pi/XPP5JE6YFfrE96n342sz/MqrYW8mBKdUvk7148Spfk9mg86dEW2tYYbB6odf5L+frWZXQKTP8yjex6PABOjk22dTFIXIWM/3ZaiowF5SRomj7hVmDSGegbb0vZ6UxginZ4ZN2G0zCRo3FmN0NPtMJtTSUvw6e64vwu++C73TyZFnn8WUnERw3wFU9Rq8p2ieDp2fX62PndxsMuv35kFlCRmo3+/D1qYNRatW1Zr0URun2cnxupt2g7ioAm0thvdi829LaGV7jzb29/H+Qv8oxSs4onhlbei9ouMlhmIUReGarr4jvLFNm9NhxGh+Zgu3po/wqTGl6HTENcvgZIkhnkyjKIeFfXnacI9z5Ahy332P0ClTqj2mPsJcnhoCeq/Vuxo3rX9aeIsYJz/e0Yv3f96DqqoEqEPI//hjn22CgqJJevc19HsPuwszfj+rB3qdwpH8lhQuW0ZUthb0O1Wgrb4URcFm0n7uTlMwOUVltEuse3ptQ4tOa4I1wOEOHiV+8gkVR4/QbNsr7M7+gOI94zAbvVZDqbw4XdZEYcqWRvj37MHB457aGaUnrRya8tTLfJmWQHRALRkNJ7m2axLXdvUdIYxwxrrrqprM9QuI1SSoTy/38gG/hiZTsj+Jdv7BBFmdZ/yc9TXq3n/wyq03+NzWONyOc582onwmwbEnuj/BvT/cS1ZINwI/nIfqCsZSUn1lwvpKDvMENP1NNY9SxQf78dLs6uneDa15tIO3VvdgtOFb5pX3I9NWexC/Lt6ZGKUWz+/Qv3LKTZOuPWnS1XeQwxSvBdd0fn4YzGf+2jXp8u+n+fbbV7isRfUVuEbMbsP/3viIJge1jmVJeMs6n8/PK2MmqIZVVKu4A0o6AxEVFURU1B7Yd+m9lmSPb8HsSesY2a96kK/K34c0497BTTAb6tcZvbZPy6qZmFrmyEkURalWNNYeGMYeNYQY5QgfGgdR3zOKXqfQxu9tVhWOItb+BXB6A1pPXuGZNpwRnsGugl21bmvv1o2kr76sNtWqPsIDLCy7Xdu3/N7N8HM6PXc2uRSAay5vxOtxcbydFsb2omjtc6qlBiTgzvKLLDFR0TsHclTKsrrAB1o2iKGOGm0ARGnvXwFW3d2bE2UVOANtOOedolMe2w6mroaAM+/smiqn25wo8B3f3RytMKGo9g6XTtFVC7JB3RfJVW3e2y+N/nigDSBs+vRq+2Hyan8nL2RRF+eQIVTk5mLv1Ikdw7UpRIUWCA+w+7yGTqcnJq32QtNnKsoeQd/4vthNdpwW5xk/T2RKY0bcVb2UR30oViudN+2mwGKi06udsTSOr/tBaAtkfbXzK8ala0FNW4ADW0ANAXGTDQZ5AvKtBw1l++qfSO/S44z2NzQ+kdEP/h9+Tie2sgp09ro7qCfT6fTuKdigHdsGBt3HfxyBXKfWXnZEZ7MR/YT2Xqom6qnLlrjvr2h6Gfrh/4EaVn6vTZCfCYYPRdm9i6NztcUT9F7ZLZ2bJkHlYtolIU0xt9CConEv/IdXr76Dt5K6s8MRyV2P3YQ5uXpWmNFr2hhj34Nj291/GoK92upJ7fqnu3pTXFpBsL3m7O4z5R34K7R42q65hgC9Z9eUeicEJLVuxzVPv4xVb6Bs1y5smdXLVdSXy3WW554BOONoN3ICn/37nzibtGbt7L5QlbTpp11npd17P+FvvUnAgAEAWOxGOlyfzIdzSwjOyydsSA2ryOsNVERkoD/wq/a3d5b4gw+w7/Y7CL+99lXKa+Jd0qKhP5v4xm15N2EZm3M20ya8+jXdGYn2lB3Rm6r/fgKstbdT7ww4q7H6b7PIHsi2ygBXbZn2tfOq2VzhYkMsFPifeTvTeQURFZ0OY7R23m702acUfP89zpEjfe4PmToFa2YmllMsntCQGkf4c1eTAUza8AWfJHaqNtBck5i5z1K0YgV+XbvWvbGXNuFtmNR+KlB9CnlDu6gCbUGRflzT9O8oh2uut/GHeK+q6DUS5/SqfRKv1jzXWVEUOo0cS81j1XV7/so2jHjuB27unUJEl/4ETZ6MKSHhjJ4r9LprODJHC0A+0b4vIc6PKbBCh3oGbqpEOCxM6aGN6qrdH64WaPvisi+1i9NAz+h7Vb0fc4pvKrCujlTZ07X4th4cKSghKfT0L7z+KKPZwrXPvuKuLaS3+6G3+zHDOZP3vm6MWuGvjZBUmt12NptzNjOx3USSrtNWoTr40CL3/WVe9WxCZ8wgpN0fP/H424PdgTadsX4XLbUZ3/cuoguPsC5Eu7Dbfqj2wpoNKTgmlmJTBdZS7XPuNfkGzHs9Ky+ZzyDQ1iykGe9f+j55JXkMGPAfuq/bj6X/5We8j4kOz2iVsR4r8JxNl7eJpdWnE/mitB3LXU1ZW8tUzNNl9KrbEV26o9btdBYLqatWoeh1pzXKWR+KyUTPftfWeJ+fw4xf26YUfmZmdUUKDq9aSLU+n1dWXLXV2Gri1UappZPs8qrLmarEcfeMF/Ez1l7aQKdTTtnhOFmQd208ff0CmU6biStLbydT2cq6gAH1DrQBtLPPJ936DSv1p66TUZdZbWfhMDu4NOnSWrcxxdevw38qASE1p2xZjHqurpwK0oias8C9GSunhhZhpntZMdjheKinLZ2cVVyXkNPpvIY0TBaVclJHQ5dWTOPMhp0WBtpIdMS992BKTOST/z3N6iO/EJfWtsFfp4rBpTJi4Agc/fufdraUYjIRco1v/lKuv4GeXlNfziZFUXi8+8lLc5xbiqKQcMUYyg4cwJxa82IjNZmaObVaPa36sAU4mPB/z9S94SlEpVav4/dHfZg/gelFX7O24+m9J8XruKvvOOW0gmze1BOeKVKO4V65URbPgLR59GvuzGVTfDzHZ93H9q+30CUlBEvjmr+7Jt16sfz9+cS3aKn1Z0KSYfzH4B+FwTsId1L6VoDFWO/g1unwuQ6IDKBqcWjfJaL+mIBQrf9hDDqzQfeYtED2bMwhrcPpLah2phpndSE0vhGOsHBtivPQ5+C3D6Cjlrmpt/tVO061bhnHC8Ob83PBFm4Iqbmmo/767+C7x8Dfd6DG1qoVyf/76rT30/u7qzgLQUiH2UHbiLNzrmh36Qg2L19KdLtuUFmrzb+ujLZKNQXavGevnS7XCU9Sha2kjPvG6kk0n941hDUjg+JffyVg6NBatzHFxRFUucqxN0Wnw96l82m93h9h1Os4Pmw0U8LS2BkQwex6PEbv71/rDL1TURSF6zKv53cJtDU8xXR2cgW9UzW9te7WizWfLQdgavl3Z+W1m8c4+O3+fp5AVWL19OD6CrnmGo4kpHHFwkMcd+Til6g95/XRZz5Srpw0im/JaHHKzrQx2jc7QV/LqiFnymE1nnL60tlmqCF4Fenw4/kx3bGbDT6fTVxAHAtH+E7juLVPKrd/UDkH2mtbpZaaSafLnJyEpVkz9A4H/IHpGwCHbYEctnkKPh8tPL159H9E0xkTWP/bcmYOfwirzc7+Nz2rap1JoK1KgCmA4zaFT9srvNWx5gKp9RFmC+PtS97G39iwgeQzodMp/GtcRybN036bNaXAnwmLUc9B1Um4kkuuOYbqpb899PbTr5nZENo1TaXd+89QqhhZ5qhHvT3voKiuHqdQ721Gv1XzJiZPZpzZbDllkO2MWLyPofW78A20GdmuRrFdjSLpNK+VP3N1YLDhR17mZnrVvXmtHGYHs9pWn9LzZ1V1Di7C8zvyvtB2/YG6U+eKzis4vrx9AJde+Qg0HnRWXitw9GgA+mQkY97zHQMSB5yV14l48AGKV60icuy4agXxz1RG857VijRf6MJvr0/X58L2gasrH5R2Zabp9AafKfSqSh91ZotwgVZXq2DJEoImTfRdtdPsdYw3+Z4/buqZTGask9YJtZ+BbQEObvjP6+i9r08bdQe0OsJGs4WykhM4Ixp2imhtAqOi0RsMmKw23h87j6cXaNdaYQln3r9paIOntaTsRDlm27nrTwR5L+LScrT2rw7P9XsCVVVPPYjZteaakn9UlPPMahifL/agYK577r8AfPraaixGvc8CTCezeAXXLDVcN/dOD+OBIU1pHl3/shZVFIOB9lv3siPUybLmx0BRUAy111qsSfScORxftBDnKQJtfyYmo4HtztMvF3SmEt6ez57f18Lo8WftNS66QBums3NhZM3MJPi666qNrlv8rQwPuh2jUkKIeuq6ZX9ETau/nQnFaCSiW2fyvlsIpdrJQ4eBrn+w/kL4PX8j/9PP8O/dy31xXZuqdNYqDZ3R9mfVt2n9RsVGtY3l/Z/3sHLnSQV+TyPD5VQUvZ6Ed7Vlt/9odtFz41rzf//bxNZD2nSk2laDOhuGZV7BsExPkVZXx1s4uukT3q7owcA/0F4URWH+oPnklOTQLOSPZTQ0Ca55hPF86J4aypNXtDytOld1SYvw57LS+5ii/5j8pOs5s8oOZ5fTZmLJnQM5kHeCSEc9BmK8zyH1CrR5tUtjzc9v8qpZqLc27MAC4NsJKz9R+3ZevEdnT7fd3lw2lfvLJlBmPc3O6F9cVcJakerJAAnyM9ExKZhDx0uIcp6joiB/gPfqcZdPfhR7k26n2LphhFhDGJ4yvO4Nz1DgyJEEek2L+SNCbryBnPlvEzHrrxMAFg3HaTOSW1RWbaGhOtm9tv8D11XG6GiSFnxe/Q6vTGtOCgAb9Tp6pNW9vwZT7dnON7zwOq4Kl8+UzrPJbPPjmmfmYTSbMRnMXPnPOWz/eSWtBw09J69fHzqdck6DbH9EQ88UqMu8iW35JTuHvk3OTbZfQ6r6rP4zvu4ZQhavQXtLDaU8FEVhfFbCGe2HvUsXEjp2Ibp0FY82067Biup5/VbFGB5WY7ban5WpgWIZ9WXNyCD8DyQn1cfFF2hr6EyBSoqiEHbL9BrvizRtOiuvebY4bUZ6p4dRWFLBUyMXYzHUvPLH6QgaM4agMWPq3hDQB/qOujV0RttfnaIodGgUXC3Q1lAZbVWv0RD6N4ugf7MIEm6v4cLwHAuLTSK1ZC4qOob+gYw2gKYh56ZmwbmkKEq1YvN/VLvEIPaoYdxRfg0jK87NSPiZCA+w1H/12GCvqe31aSfewbhaMmDMVk/Wk95+FoJT3sE+tX5BM+9jQGFpzYs41MaFjiM48Ks4d4H1P4OqaTLeGW0Ab1zdHlU9kxot557Oz3ONZP0DdYsuVKHTphFy003nvOMq/hyWzOzBgfwTNI44zQHgVuMhZxc07n92dkzxOsabGr6fc64CbN78nJ6+QFhCI8ISGp1ia/Fn0iMtrF7B3b+6VvFev9GAhq1TqBgMxDw1B7YuYtQX1/B2gJ2bWt1U9wP/wk61yONf1cUXaAtvApu/OLevmXYJbPwMwv4anXNFUXhxwtmrlVKf14948AEO/O0eAIyRf70RkbOtZ1oYT32z1ec2a+vWtWx9/v13cjumvvkzjwxvcd72wajXMWd0a44Vlv4lMksuBP4WI9d1bcTz321nYD1XRP3TC/K62C85Xvf23lNNrTXXgrHYPIE2g/0sXZx2uhn2r4WE0ysaC5B7imL4p1JYeh5Wdj6Pgv20C+1C1bdTqijKH0liOad0Nhsxc59FMZkaZCGiC5EE2S5eDpsRx5lkMRmt0P/hht+hKgFeg2QNNLtBCHFqIXYzC6Z1YceRwrNX9zu5N3dMWMaE0nxiQxq+7uSfyY3dk/lxxzGGtjz9Ba7+rC6+QFuXW6HoKDQZcu5ec8gzENUSmp954fSLjbmRpzNrSqq+QtLFLjMukLeu6UBMoJWIm7+hbN8+rE3/vIHcrqmh/Hpv3/PeQRmcceEcvP8qbh+QxnXdki6ckSq9ATpMgT0rIS6r7u0NJu0cUFEG9pqL7lu9Am0W51kKtPV54LQfEhNoZU9OMX+BRKw/BYfNyPs3dCR+1bewbvH53p0z5t/jzFZ6FEKcJ6GpMPhJ8Lvws4iE+DNpEhVAk6izOyilD4gilgu//+KwGfl4ypkuDfnndPEF2kx+2snoXLI6z1qhyQuVPtCT+WGMvEAyYRpYVlJw5f9sf4nP6HwH2cT5oSjKhRNkq3K6mQmZ4055t92rwG1o+J/nYuqVSe2444O1TOuVUvfGXmb0SeWJhZsZcgGNStZX6/hACLkd9iyUwTUhxLnTeuL53gMhhBBeFFX9CyyD9Qfk5+fjcDjIy8sjQKZB/KUce/NNjOHh+Pf6I+vWCSHEn1tOTg6BTyaQr3Pi/7edf/mgdIVL5acdx2gZ62ywFWyFEEIIIYRoKGc7TiSBNiGEEOI8qyjKQdGb0ZnPzsrYQgghhBBCCM3ZjhNdfFNHhRBCiD8ZvS2w7o2EEEIIIYQQf3q6870DQgghhBBCCCGEEEJcCCTQJoQQQgghhBBCCCFEA5BAmxBCCCGEEEIIIYQQDUACbUIIIYQQQgghhBBCNAAJtAkhhBBCCCGEEEII0QAk0CaEEEIIIYQQQgghRAOQQJsQQgghhBBCCCGEEA1AAm1CCCGEEEIIIYQQQjQACbQJIYQQQgghhBBCCNEAJNAmhBBCCCGEEEIIIUQDkECbEEIIIYQQQgghhBANQAJtQgghhBBCCCGEEEI0AAm0CSGEEEIIIYQQQgjRACTQJoQQQgghhBBCCCFEA5BAmxBCCCGEEEIIIYQQDUACbUIIIYQQQgghhBBCNAAJtAkhhBBCCCGEEEII0QAk0CaEEEIIIYQQQgghRAOQQJsQQgghhBBCCCGEEA1AAm1CCCGEEEIIIYQQQjQACbQJIYQQQgghhBBCCNEAJNAmhBBCCCGEEEIIIUQDkECbEEIIIYQQQgghhBANQAJtQgghhBBCCCGEEEI0AMP53oGzTVVVAPLz88/zngghhBBCCCGEEEKI86kqPlQVL2poF3yg7ejRowDExsae5z0RQgghhBBCCCGEEH8GR48exeFwNPjzXvCBtqCgIACys7PPygcoxF9Bfn4+sbGx7N69m4CAgPO9O0Kcc9IGhJB2IARIOxACpB0IkZeXR1xcnDte1NAu+ECbTqeVoXM4HHIQERe9gIAAaQfioiZtQAhpB0KAtAMhQNqBEFXxogZ/3rPyrEIIIYQQQgghhBBCXGQk0CaEEEIIIYQQQgghRAO44ANtZrOZe++9F7PZfL53RYjzRtqBuNhJGxBC2oEQIO1ACJB2IMTZbgOKerbWMxVCCCGEEEIIIYQQ4iJywWe0CSGEEEIIIYQQQghxLkigTQghhBBCCCGEEEKIBiCBNiGEEEIIIYQQQgghGoAE2oQQQgghhBBCCCGEaAB/yUDb3LlzadGiBQEBAQQEBJCVlcUXX3zhvv/EiRNMmTKF4OBg7HY7l112GQcPHvR5juzsbAYNGoTNZiMsLIzbbruN8vLyc/1WhDhjdbWD7t27oyiKz7/rr7/e5zmkHYgLyT/+8Q8URWH69Onu2+R8IC42NbUDOR+IC919991X7Teelpbmvl/OBeJiUFc7kHOBuBjs3buXcePGERwcjNVqpXnz5qxatcp9v6qq3HPPPURGRmK1WunduzdbtmzxeY5jx44xduxYAgICcDqdXHXVVRQUFJzWfhga5N2cYzExMfzjH/8gJSUFVVV59dVXGTJkCL/88gtNmzbllltu4fPPP+fdd9/F4XAwdepUhg8fzrJlywCoqKhg0KBBRERE8MMPP7B//37Gjx+P0Wjk4YcfPs/vToj6qasdAFxzzTU88MAD7sfYbDb3/6UdiAvJypUref7552nRooXP7XI+EBeT2toByPlAXPiaNm3KokWL3H8bDJ5ujpwLxMXiVO0A5FwgLmw5OTl06tSJHj168MUXXxAaGsqWLVsIDAx0b/Poo48yZ84cXn31VRITE/nb3/5Gv3792LBhAxaLBYCxY8eyf/9+Fi5cSFlZGZMmTeLaa6/lzTffrP/OqBeIwMBA9cUXX1Rzc3NVo9Govvvuu+77fv/9dxVQly9frqqqqi5YsEDV6XTqgQMH3NvMnTtXDQgIUEtKSs75vgvRUKragaqqardu3dSbb7651m2lHYgLxfHjx9WUlBR14cKFPr97OR+Ii0lt7UBV5XwgLnz33nuvmpGRUeN9ci4QF4tTtQNVlXOBuPDNnj1b7dy5c633u1wuNSIiQn3sscfct+Xm5qpms1l96623VFVV1Q0bNqiAunLlSvc2X3zxhaooirp3795678tfcuqot4qKCubPn09hYSFZWVmsXr2asrIyevfu7d4mLS2NuLg4li9fDsDy5ctp3rw54eHh7m369etHfn4+v/322zl/D0L8USe3gypvvPEGISEhNGvWjDvuuIOioiL3fdIOxIViypQpDBo0yOe4D8j5QFxUamsHVeR8IC50W7ZsISoqikaNGjF27Fiys7MBOReIi0tt7aCKnAvEheyTTz6hTZs2jBw5krCwMDIzM3nhhRfc9+/YsYMDBw74nA8cDgft27f3OR84nU7atGnj3qZ3797odDpWrFhR7335S04dBVi3bh1ZWVmcOHECu93Ohx9+SJMmTVizZg0mkwmn0+mzfXh4OAcOHADgwIEDPgeQqvur7hPir6K2dgAwZswY4uPjiYqKYu3atcyePZtNmzbxwQcfANIOxIVh/vz5/Pzzz6xcubLafQcOHJDzgbgonKodgJwPxIWvffv2vPLKKzRu3Jj9+/dz//3306VLF9avXy/nAnHROFU78Pf3l3OBuOBt376duXPnMmPGDO68805WrlzJtGnTMJlMTJgwwf07rul37n0+CAsL87nfYDAQFBR0Wu3gLxtoa9y4MWvWrCEvL4/33nuPCRMmsGTJkvO9W0KcU7W1gyZNmnDttde6t2vevDmRkZH06tWLbdu2kZSUdB73WoiGsXv3bm6++WYWLlzorqkgxMWmPu1AzgfiQjdgwAD3/1u0aEH79u2Jj4/nnXfewWq1nsc9E+LcOVU7uOqqq+RcIC54LpeLNm3auGsKZmZmsn79ep577jkmTJhwTvflLzt11GQykZycTOvWrXnkkUfIyMjgySefJCIigtLSUnJzc322P3jwIBEREQBERERUW2mo6u+qbYT4K6itHdSkffv2AGzduhWQdiD++lavXs2hQ4do1aoVBoMBg8HAkiVLmDNnDgaDgfDwcDkfiAteXe2goqKi2mPkfCAudE6nk9TUVLZu3Sp9A3HR8m4HNZFzgbjQREZGumd3VUlPT3dPoa76Hdf0O/c+Hxw6dMjn/vLyco4dO3Za7eAvG2g7mcvloqSkhNatW2M0Gvn666/d923atIns7Gx37aqsrCzWrVvn8wEuXLiQgICAal+MEH8lVe2gJmvWrAG0AxBIOxB/fb169WLdunWsWbPG/a9NmzaMHTvW/X85H4gLXV3tQK/XV3uMnA/Eha6goIBt27YRGRkpfQNx0fJuBzWRc4G40HTq1IlNmzb53LZ582bi4+MBSExMJCIiwud8kJ+fz4oVK3zOB7m5uaxevdq9zTfffIPL5XIHp+vlDBZzOO9uv/12dcmSJeqOHTvUtWvXqrfffruqKIr6v//9T1VVVb3++uvVuLg49ZtvvlFXrVqlZmVlqVlZWe7Hl5eXq82aNVP79u2rrlmzRv3yyy/V0NBQ9Y477jhfb0mI03aqdrB161b1gQceUFetWqXu2LFD/fjjj9VGjRqpXbt2dT9e2oG4EJ28opacD8TFyLsdyPlAXAxuvfVWdfHixeqOHTvUZcuWqb1791ZDQkLUQ4cOqaoq5wJxcThVO5BzgbgY/PTTT6rBYFAfeughdcuWLeobb7yh2mw29fXXX3dv849//EN1Op3qxx9/rK5du1YdMmSImpiYqBYXF7u36d+/v5qZmamuWLFCXbp0qZqSkqKOHj36tPblLxlomzx5shofH6+aTCY1NDRU7dWrlzvIpqqqWlxcrN54441qYGCgarPZ1GHDhqn79+/3eY6dO3eqAwYMUK1WqxoSEqLeeuutallZ2bl+K0KcsVO1g+zsbLVr165qUFCQajab1eTkZPW2225T8/LyfJ5D2oG40JwcaJPzgbgYebcDOR+Ii8GoUaPUyMhI1WQyqdHR0eqoUaPUrVu3uu+Xc4G4GJyqHci5QFwsPv30U7VZs2aq2WxW09LS1P/85z8+97tcLvVvf/ubGh4erprNZrVXr17qpk2bfLY5evSoOnr0aNVut6sBAQHqpEmT1OPHj5/Wfiiqqqp/IDtPCCGEEEIIIYQQQgjBBVSjTQghhBBCCCGEEEKI80kCbUIIIYQQQgghhBBCNAAJtAkhhBBCCCGEEEII0QAk0CaEEEIIIYQQQgghRAOQQJsQQgghhBBCCCGEEA1AAm1CCCGEEEIIIYQQQjQACbQJIYQQQgghhBBCCNEAJNAmhBBCCCGEEEIIIUQDkECbEEIIIcQZWLx4MYqikJube15e/+uvvyY9PZ2Kiorz8voNRVEUPvroozq3Ky0tJSEhgVWrVp39nRJCCCGEOEMSaBNCCCGEqEP37t2ZPn26z20dO3Zk//79OByO87JPs2bN4u6770av15+X1z/XTCYTM2fOZPbs2ed7V4QQQgghaiWBNiGEEEKIM2AymYiIiEBRlHP+2kuXLmXbtm1cdtll5/y1z6exY8eydOlSfvvtt/O9K0IIIYQQNZJAmxBCCCHEKUycOJElS5bw5JNPoigKiqKwc+fOalNHX3nlFZxOJ5999hmNGzfGZrMxYsQIioqKePXVV0lISCAwMJBp06b5TPcsKSlh5syZREdH4+fnR/v27Vm8ePEp92n+/Pn06dMHi8Xivu3XX3+lR48e+Pv7ExAQQOvWrX2mWS5dupQuXbpgtVqJjY1l2rRpFBYW+uzH7NmziY2NxWw2k5yczEsvveS+f8mSJbRr1w6z2UxkZCS333475eXl7vu7d+/OtGnTmDVrFkFBQURERHDffff57PeWLVvo2rUrFouFJk2asHDhQp/7S0tLmTp1KpGRkVgsFuLj43nkkUfc9wcGBtKpUyfmz59/ys9HCCGEEOJ8MZzvHRBCCCGE+DN78skn2bx5M82aNeOBBx4AIDQ0lJ07d1bbtqioiDlz5jB//nyOHz/O8OHDGTZsGE6nkwULFrB9+3Yuu+wyOnXqxKhRowCYOnUqGzZsYP78+URFRfHhhx/Sv39/1q1bR0pKSo379P333zNmzBif28aOHUtmZiZz585Fr9ezZs0ajEYjANu2baN///78/e9/5+WXX+bw4cNMnTqVqVOnMm/ePADGjx/P8uXLmTNnDhkZGezYsYMjR44AsHfvXgYOHMjEiRP573//y8aNG7nmmmuwWCw+wbRXX32VGTNmsGLFCpYvX87EiRPp1KkTffr0weVyMXz4cMLDw1mxYgV5eXnVpuPOmTOHTz75hHfeeYe4uDh2797N7t27fbZp164d33//ff2+PCGEEEKIc0wCbUIIIYQQp+BwODCZTNhsNiIiIk65bVlZGXPnziUpKQmAESNG8Nprr3Hw4EHsdjtNmjShR48efPvtt4waNYrs7GzmzZtHdnY2UVFRAMycOZMvv/ySefPm8fDDD9f4Ort27XJvXyU7O5vbbruNtLQ0AJ8g3SOPPMLYsWPdga2UlBTmzJlDt27dmDt3LtnZ2bzzzjssXLiQ3r17A9CoUSP345999lliY2N5+umnURSFtLQ09u3bx+zZs7nnnnvQ6bRJEi1atODee+91v8bTTz/N119/TZ8+fVi0aBEbN27kq6++cu/7ww8/zIABA3zeQ0pKCp07d0ZRFOLj46u996ioKHbt2nXK70EIIYQQ4nyRQJsQQgghRAOx2WzuIBtAeHg4CQkJ2O12n9sOHToEwLp166ioqCA1NdXneUpKSggODq71dYqLi32mjQLMmDGDq6++mtdee43evXszcuRI9778+uuvrF27ljfeeMO9vaqquFwuduzYwbp169Dr9XTr1q3G1/v999/JysryqUfXqVMnCgoK2LNnD3FxcYAWaPMWGRnpfq+///47sbGxPgHCrKwsn+0nTpxInz59aNy4Mf379+eSSy6hb9++PttYrVaKiopq/WyEEEIIIc4nCbQJIYQQQjSQqqmaVRRFqfE2l8sFQEFBAXq9ntWrV1dbPdQ7OHeykJAQcnJyfG677777GDNmDJ9//jlffPEF9957L/Pnz2fYsGEUFBRw3XXXMW3atGrPFRcXx9atW0/rfdbmVO+1Plq1asWOHTv44osvWLRoEZdffjm9e/fmvffec29z7NgxQkNDG2R/hRBCCCEamgTahBBCCCHqYDKZfBYwaCiZmZlUVFRw6NAhunTpclqP27BhQ7XbU1NTSU1N5ZZbbmH06NHMmzePYcOG0apVKzZs2EBycnKNz9e8eXNcLhdLlixxTx31lp6ezvvvv4+qqu6stmXLluHv709MTEy99jk9PZ3du3ezf/9+IiMjAfjxxx+rbRcQEMCoUaMYNWoUI0aMoH///hw7doygoCAA1q9fT2ZmZr1eUwghhBDiXJNVR4UQQggh6pCQkMCKFSvYuXMnR44cOa0srVNJTU1l7NixjB8/ng8++IAdO3bw008/8cgjj/D555/X+rh+/fqxdOlS99/FxcVMnTqVxYsXs2vXLpYtW8bKlStJT08HYPbs2fzwww9MnTqVNWvWsGXLFj7++GOmTp3qfn8TJkxg8uTJfPTRR+zYsYPFixfzzjvvAHDjjTeye/dubrrpJjZu3MjHH3/Mvffey4wZM9z12erSu3dvUlNTmTBhAr/++ivff/89d911l882TzzxBG+99RYbN25k8+bNvPvuu0REROB0Ot3bfP/999WmkwohhBBC/FlIoE0IIYQQog4zZ85Er9fTpEkTQkNDyc7ObrDnnjdvHuPHj+fWW2+lcePGDB06lJUrV7rrntVk7Nix/Pbbb2zatAkAvV7P0aNHGT9+PKmpqVx++eUMGDCA+++/H9Bqpy1ZsoTNmzfTpUsXMjMzueeee3zqpc2dO5cRI0Zw4403kpaWxjXXXENhYSEA0dHRLFiwgJ9++omMjAyuv/56rrrqKu6+++56v0+dTseHH35IcXEx7dq14+qrr+ahhx7y2cbf359HH32UNm3a0LZtW3bu3MmCBQvcwbzly5eTl5fHiBEj6v26QgghhBDnkqKqqnq+d0IIIYQQQpye2267jfz8fJ5//vnzvSvnzKhRo8jIyODOO+8837sihBBCCFEjyWgTQgghhPgLuuuuu4iPj2+waax/dqWlpTRv3pxbbrnlfO+KEEIIIUStJKNNCCGEEEIIIYQQQogGIBltQgghhBBCCCGEEEI0AAm0CSGEEEIIIYQQQgjRACTQJoQQQgghhBBCCCFEA5BAmxBCCCGEEEIIIYQQDUACbUIIIYQQQgghhBBCNAAJtAkhhBBCCCGEEEII0QAk0CaEEEIIIYQQQgghRAOQQJsQQgghhBBCCCGEEA1AAm1CCCGEEEIIIYQQQjSA/wc1CCSEm+t2UAAAAABJRU5ErkJggg==", "text/plain": [ "
    " ] @@ -7036,10 +7025,10 @@ "id": "2f9f57a1", "metadata": { "papermill": { - "duration": 0.117051, - "end_time": "2023-09-27T22:49:18.234462", + "duration": 0.07305, + "end_time": "2023-11-06T22:15:36.223358", "exception": false, - "start_time": "2023-09-27T22:49:18.117411", + "start_time": "2023-11-06T22:15:36.150308", "status": "completed" }, "pycharm": { @@ -7057,16 +7046,16 @@ "id": "0b9608e5", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:18.468630Z", - "iopub.status.busy": "2023-09-27T22:49:18.467323Z", - "iopub.status.idle": "2023-09-27T22:49:18.484892Z", - "shell.execute_reply": "2023-09-27T22:49:18.483957Z" + "iopub.execute_input": "2023-11-06T22:15:36.373722Z", + "iopub.status.busy": "2023-11-06T22:15:36.373447Z", + "iopub.status.idle": "2023-11-06T22:15:36.380588Z", + "shell.execute_reply": "2023-11-06T22:15:36.379864Z" }, "papermill": { - "duration": 0.138046, - "end_time": "2023-09-27T22:49:18.487016", + "duration": 0.084042, + "end_time": "2023-11-06T22:15:36.381981", "exception": false, - "start_time": "2023-09-27T22:49:18.348970", + "start_time": "2023-11-06T22:15:36.297939", "status": "completed" }, "pycharm": { @@ -7096,8 +7085,8 @@ " \n", " \n", " \n", - " cell_specimen_id\n", " ophys_experiment_id\n", + " cell_specimen_id\n", " \n", " \n", " cell_roi_id\n", @@ -7108,41 +7097,41 @@ " \n", " \n", " 1080884343\n", - " 1086496928\n", " 775614751\n", + " 1086496928\n", " \n", " \n", " 1080884173\n", - " 1086496914\n", " 775614751\n", + " 1086496914\n", " \n", " \n", " 1080883843\n", - " 1086496838\n", " 775614751\n", + " 1086496838\n", " \n", " \n", " 1080886674\n", - " 1086491756\n", " 775614751\n", + " 1086491756\n", " \n", " \n", " 1080885658\n", - " 1086491699\n", " 775614751\n", + " 1086491699\n", " \n", " \n", "\n", "" ], "text/plain": [ - " cell_specimen_id ophys_experiment_id\n", + " ophys_experiment_id cell_specimen_id\n", "cell_roi_id \n", - "1080884343 1086496928 775614751\n", - "1080884173 1086496914 775614751\n", - "1080883843 1086496838 775614751\n", - "1080886674 1086491756 775614751\n", - "1080885658 1086491699 775614751" + "1080884343 775614751 1086496928\n", + "1080884173 775614751 1086496914\n", + "1080883843 775614751 1086496838\n", + "1080886674 775614751 1086491756\n", + "1080885658 775614751 1086491699" ] }, "execution_count": 56, @@ -7161,10 +7150,10 @@ "id": "6b4a6555", "metadata": { "papermill": { - "duration": 0.113422, - "end_time": "2023-09-27T22:49:18.719941", + "duration": 0.073195, + "end_time": "2023-11-06T22:15:36.528867", "exception": false, - "start_time": "2023-09-27T22:49:18.606519", + "start_time": "2023-11-06T22:15:36.455672", "status": "completed" }, "tags": [] @@ -7179,16 +7168,16 @@ "id": "2da8849b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:18.957403Z", - "iopub.status.busy": "2023-09-27T22:49:18.956566Z", - "iopub.status.idle": "2023-09-27T22:49:19.274731Z", - "shell.execute_reply": "2023-09-27T22:49:19.273620Z" + "iopub.execute_input": "2023-11-06T22:15:36.677974Z", + "iopub.status.busy": "2023-11-06T22:15:36.677507Z", + "iopub.status.idle": "2023-11-06T22:15:36.868772Z", + "shell.execute_reply": "2023-11-06T22:15:36.868108Z" }, "papermill": { - "duration": 0.440412, - "end_time": "2023-09-27T22:49:19.277219", + "duration": 0.266748, + "end_time": "2023-11-06T22:15:36.870148", "exception": false, - "start_time": "2023-09-27T22:49:18.836807", + "start_time": "2023-11-06T22:15:36.603400", "status": "completed" }, "tags": [] @@ -7196,7 +7185,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -7207,13 +7196,13 @@ { "data": { "text/plain": [ - "count 1948.000000\n", - "mean 68.391684\n", - "std 95.181394\n", + "count 1936.000000\n", + "mean 68.732438\n", + "std 95.376045\n", "min 1.000000\n", "25% 11.000000\n", "50% 22.000000\n", - "75% 98.000000\n", + "75% 99.000000\n", "max 666.000000\n", "dtype: float64" ] @@ -7237,10 +7226,10 @@ "id": "acbf3e5a", "metadata": { "papermill": { - "duration": 0.118823, - "end_time": "2023-09-27T22:49:19.512444", + "duration": 0.073593, + "end_time": "2023-11-06T22:15:37.016961", "exception": false, - "start_time": "2023-09-27T22:49:19.393621", + "start_time": "2023-11-06T22:15:36.943368", "status": "completed" }, "tags": [] @@ -7255,16 +7244,16 @@ "id": "d584bdac", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:19.751191Z", - "iopub.status.busy": "2023-09-27T22:49:19.750766Z", - "iopub.status.idle": "2023-09-27T22:49:19.757599Z", - "shell.execute_reply": "2023-09-27T22:49:19.756749Z" + "iopub.execute_input": "2023-11-06T22:15:37.166480Z", + "iopub.status.busy": "2023-11-06T22:15:37.165928Z", + "iopub.status.idle": "2023-11-06T22:15:37.170664Z", + "shell.execute_reply": "2023-11-06T22:15:37.170120Z" }, "papermill": { - "duration": 0.129271, - "end_time": "2023-09-27T22:49:19.759797", + "duration": 0.08063, + "end_time": "2023-11-06T22:15:37.171959", "exception": false, - "start_time": "2023-09-27T22:49:19.630526", + "start_time": "2023-11-06T22:15:37.091329", "status": "completed" }, "tags": [] @@ -7279,10 +7268,10 @@ "id": "4b5272f7", "metadata": { "papermill": { - "duration": 0.114111, - "end_time": "2023-09-27T22:49:19.989013", + "duration": 0.073966, + "end_time": "2023-11-06T22:15:37.319123", "exception": false, - "start_time": "2023-09-27T22:49:19.874902", + "start_time": "2023-11-06T22:15:37.245157", "status": "completed" }, "tags": [] @@ -7297,16 +7286,16 @@ "id": "85244312", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:20.221319Z", - "iopub.status.busy": "2023-09-27T22:49:20.220336Z", - "iopub.status.idle": "2023-09-27T22:49:20.576542Z", - "shell.execute_reply": "2023-09-27T22:49:20.574944Z" + "iopub.execute_input": "2023-11-06T22:15:37.468078Z", + "iopub.status.busy": "2023-11-06T22:15:37.467803Z", + "iopub.status.idle": "2023-11-06T22:15:37.702725Z", + "shell.execute_reply": "2023-11-06T22:15:37.702045Z" }, "papermill": { - "duration": 0.474989, - "end_time": "2023-09-27T22:49:20.578690", + "duration": 0.310977, + "end_time": "2023-11-06T22:15:37.704250", "exception": false, - "start_time": "2023-09-27T22:49:20.103701", + "start_time": "2023-11-06T22:15:37.393273", "status": "completed" }, "tags": [] @@ -7314,7 +7303,7 @@ "outputs": [ { "data": { - "image/png": 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    " ] @@ -7336,10 +7325,10 @@ "id": "e84eb564", "metadata": { "papermill": { - "duration": 0.1264, - "end_time": "2023-09-27T22:49:20.825423", + "duration": 0.073483, + "end_time": "2023-11-06T22:15:37.855336", "exception": false, - "start_time": "2023-09-27T22:49:20.699023", + "start_time": "2023-11-06T22:15:37.781853", "status": "completed" }, "tags": [] @@ -7354,16 +7343,16 @@ "id": "864c2ee4", "metadata": { "execution": { - "iopub.execute_input": "2023-09-27T22:49:21.076627Z", - "iopub.status.busy": "2023-09-27T22:49:21.075490Z", - "iopub.status.idle": "2023-09-27T22:49:21.360932Z", - "shell.execute_reply": "2023-09-27T22:49:21.359826Z" + "iopub.execute_input": "2023-11-06T22:15:38.007738Z", + "iopub.status.busy": "2023-11-06T22:15:38.007271Z", + "iopub.status.idle": "2023-11-06T22:15:38.182115Z", + "shell.execute_reply": "2023-11-06T22:15:38.181244Z" }, "papermill": { - "duration": 0.414218, - "end_time": "2023-09-27T22:49:21.363205", + "duration": 0.252721, + "end_time": "2023-11-06T22:15:38.183682", "exception": false, - "start_time": "2023-09-27T22:49:20.948987", + "start_time": "2023-11-06T22:15:37.930961", "status": "completed" }, "tags": [] @@ -7381,7 +7370,7 @@ }, { "data": { - "image/png": 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", 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", 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    " ] @@ -7419,17 +7408,17 @@ }, "papermill": { "default_parameters": {}, - "duration": 327.953667, - "end_time": "2023-09-27T22:49:22.308520", + "duration": 274.72221, + "end_time": "2023-11-06T22:15:38.979015", "environment_variables": {}, "exception": null, "input_path": "doc_template/examples_root/examples/nb/visual_behavior_ophys_dataset_manifest.ipynb", - "output_path": "/tmp/tmpaeoh_xjx/scratch_nb.ipynb", + "output_path": "/tmp/tmpw52q7175/scratch_nb.ipynb", "parameters": { - "output_dir": "/tmp/tmpaeoh_xjx", + "output_dir": "/tmp/tmpw52q7175", "resources_dir": "/home/runner/work/AllenSDK/AllenSDK/allensdk/internal/notebooks/resources" }, - "start_time": "2023-09-27T22:43:54.354853", + "start_time": "2023-11-06T22:11:04.256805", "version": "2.4.0" } },