From 08cc600532261f49137c71a496bd4348d4d75dec Mon Sep 17 00:00:00 2001 From: Chris Broz Date: Tue, 7 Jun 2022 16:05:44 -0500 Subject: [PATCH] revise PSTH plot --- notebooks/07-downstream-analysis.ipynb | 47 +++++++++++++------ .../py_scripts/07-downstream-analysis.py | 25 +++++++--- workflow_array_ephys/analysis.py | 4 +- workflow_array_ephys/plotting/plot_psth.py | 8 ++-- 4 files changed, 57 insertions(+), 27 deletions(-) diff --git a/notebooks/07-downstream-analysis.ipynb b/notebooks/07-downstream-analysis.ipynb index 9747843d..17956efd 100644 --- a/notebooks/07-downstream-analysis.ipynb +++ b/notebooks/07-downstream-analysis.ipynb @@ -1030,9 +1030,10 @@ "alignment_key = (event.AlignmentEvent & 'alignment_name = \"center_button\"'\n", " ).fetch1('KEY')\n", "alignment_condition = {**clustering_key, **alignment_key, \n", - " 'trial_condition': 'ctrl_center_button'}\n", + " 'trial_condition': 'ctrl_center_button',\n", + " 'bin_size':.2}\n", "analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True)\n", - "\n", + "alignment_condition.pop('bin_size')\n", "analysis.SpikesAlignmentCondition.Trial.insert(\n", " (analysis.SpikesAlignmentCondition * ctrl_trials & alignment_condition).proj(),\n", " skip_duplicates=True)" @@ -1240,7 +1241,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "id": "1ea69400-75a0-4421-9310-8eec465b4775", "metadata": { "title": "a set of trials of interest to perform the analysis on - `stim` trials" @@ -1248,8 +1249,11 @@ "outputs": [], "source": [ "stim_trials = trial.Trial & clustering_key & 'trial_type = \"stim\"'\n", - "alignment_condition = {**clustering_key, **alignment_key, 'trial_condition': 'stim_center_button'}\n", + "alignment_condition = {**clustering_key, **alignment_key, \n", + " 'trial_condition': 'stim_center_button',\n", + " 'bin_size':.2}\n", "analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True)\n", + "alignment_condition.pop('bin_size')\n", "analysis.SpikesAlignmentCondition.Trial.insert(\n", " (analysis.SpikesAlignmentCondition * stim_trials & alignment_condition).proj(),\n", " skip_duplicates=True)" @@ -1583,7 +1587,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "id": "623998dd-0c08-4c75-b5ad-2766f11bda6b", "metadata": { "title": "a set of trials of interest to perform the analysis on - `stim` trials" @@ -1593,7 +1597,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "SpikesAlignment: 100%|██████████████████████████████████████████████████████████████████████| 2/2 [00:23<00:00, 11.78s/it]\n" + "SpikesAlignment: 100%|██████████| 1/1 [00:11<00:00, 11.26s/it]\n" ] } ], @@ -1610,12 +1614,27 @@ "source": [ "## Visualize\n", "\n", - "We can visualize the results with the `plot` function." + "We can visualize the results with the `plot` function with our keys." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, + "id": "b1f8bd26", + "metadata": {}, + "outputs": [], + "source": [ + "clustering_key = (ephys.CuratedClustering \n", + " & {'subject': 'subject6', 'session_datetime': '2021-01-15 11:16:38',\n", + " 'insertion_number': 0}\n", + " ).fetch1('KEY')\n", + "alignment_key = (event.AlignmentEvent & 'alignment_name = \"center_button\"'\n", + " ).fetch1('KEY')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "id": "03132026-55e3-4522-9f58-ce86b94c7842", "metadata": { "title": "a set of trials of interest to perform the analysis on - `stim` trials" @@ -1623,7 +1642,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1641,7 +1660,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "e144df4c-87c1-4646-9d4b-b0009216bca1", "metadata": { "lines_to_next_cell": 0, @@ -1650,7 +1669,7 @@ "outputs": [ { "data": { - "image/png": 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qajxdTOgfqoXwP6NsAI+nbNzz2vuju4L5tS3NBwP/26FAeDrw67Zxn8T6C/+VwKHDxLdBQbMJG8WUmk9K4ZmUnWwrysnIPWz6Qety4L3ATm3t3051wGxp9w3KScR21UZ+GG0HesoJwEJgxnDzRNnJ7qclkUO5iBysfh8LXNfSbdtq2D8dYT52pxygtmtp93naCqSWbo+qxvnIYdb5aOvulPZxs3FBcW1Ltz9n4xP424E5lIPD76gSzlW3/WlJEPWwPt9Ny8GzWlf303LAaOv/BOArI2x3Z1FqGbQOs5L1J5nXM3rC7x0t3c+gJTlFuU11RfX7SOC/2qZ1NtVFQVv759CWBAa+R1tSrqXbHOCOTuuqm2m3bx/t815tD99qm697gGlV8/bVcnkU5QLoD7TsO5QD4ber3+9gmBOgqvs5lETQ0AHqXe39U06iTukw7Hspt7M+rEO3yZbwezrrE/THUE4aHzeecTH+Cb9xKacpJ80HAW9uaRfV+P9IKevWAk9rG+75wKoxzMsebLzfvrOl++uBS6rfr6r2tSe1jWO07fpYNi5Tj2XkhN+ngQ+3dHt4Nf97VM3Jhn8qLWGUP/wY5fhCdwm/3Vq63w4c2dL8Jao/UapptZdTP6ScAPe8vHpcp5+m7eSSkqjreXtnhHOeDv3OYeOy9n2jjP+rwJuq33MpiZP2svPpLf1fCbyk+t3zOUxLXD0l/CjnLn8E9mnp9gE2vBjesorvZ7SU0z0u75nVNLduafd84Pqxbg8t43kJ8OO2ddsp4fduWhJUlP3k/rZ+L23pvi9wX9t4X9G2X5zV0vwPVMmOLtfVcOXRHvSW8Ov63HITt8urgQNauu1abTujxjlC/LtSaoM8ukO3bs7Vjm7p9mHgEy3z1n5xP2z8Lct8ry5iHup3n7Zpf7r6vYhNT/hdBry+pXlWh1hntHT/IXDUJu5Hx9L52PXZDu3GdF46zDDfGNom29o/G7iF6g/Cqt0XqM7pqjg+1dLtYOCa6vffsmGSKYAbGVvCb8xxbOL6+DXlOvIRbe07bdunMMZj+hjWSzfXkqOVo63bfzdl5YjH27bt7YNt076fcpzrtNweioXuEn6vBH7Y1s/3qc5BGKFc34TtYGh9jpTwG+n8r73fYRN+Pcb1Kso+tVOHbo+j7DN/BAZGG9eot/Rm5r9RCuw/BQ4dob/rKEmAU4DbIuL8aLmFpgurW37fQPk3qd1jKVVs7xz6UC5kdqm6z6RkfSfMFJzP+1hfg+n+zPwO8G16eNDjMF5Nya5fU1W3PaQl9pe2xf4syvOlfkdJkLwWuLmqmj10y8rbKAeLH1ZVk1/VYZo7UU6Kb2hpdwPln4shtwz9yMx7q58PH2E+HkM5cP6ubZwARLl9+oNRbk+4i1JwDcXSyWjrrhu3tvy+DyAz29s9nPKv+7bAlS3TuqRq36vH0LJtVsvjoVsPo9xmelGUW5vvolysjFSF+rHAW9qWw0w6b+/DaZ/nTstgaFpPb5vWKyhlVrvHADdlVVpWWtf3thFxdpRbPO6iXBQ+KoZ/pkov0x5O+3ytzfUvQbiv+n446/+NvbllWmez/tbMOygXExuJiH+h/Bt3RMu830Op/dXqEbTdohsRx1NO7F6UmX/oYb5qkZk/yMy7s9ymfA4lWXFw3XGNYlzK6cz8Y5bbrF8Q62+HeTWlBupsSjLxaOCituPW9pQ/Y8bDLS2/72X9fnou5QTz/Ci3aH04IrZk9O0aNjxuduMxtOzXmXkPpTzreKxoi3MkvR5f2nVbpkHncuoxTMzyatVVudCDjuc8XZa1G8xHRBwUEf8T5TbIOyn7detx6PYOZedwy7jnc5ie53y9nSlJhPZl8ZDM/CPlovaJwBlt675b91TfretvTOsuym2050e5ze0uyh873dw21X4ucS8bP8agfd/bOjZ8nlsvx/7R1tVY9vNOht33x3m7fCzlGatD83M18CC9nUO2mwn8JjPv6NCtm3O1XpZhN/H3Uj51c800VhscJ6rf09kw1vHafkYz7DIZw3lpJ8NdNz4GWJ0bPp9/2OsqNlwG7ft6jjQfo9iUODbFYZT99YYoj3Ya9tb+YfRyTO9kuPXSzbXkaOVo+/hGKys3Zb/cku6OD91o3y+HpjHR28JoNvX8rycR8RJKzc2DMnNth17eBFxBSVYvH218XT3DLzNvoWRX9x2lv89n5rMoG1YCH6o6/Y6SmBjS6WJ4Zsvv3en8DKXVlNpLj2r5bJ+ZB7d03+R7+kczxebzp51mocthh5WZ12bmyygXGR8CLojy3IPVlH8RWmPfLjM/WA33jcx8PqWQuYZSXZ7MvCUz/z4zH0P5t+XM2Pitr2spF8WPbWm3O6Vq8VjdDDy6ir11nENeTkl0z6PcWrpH1X7oORXty3K0dbfJy77FWsoBZXbLtB6ZmWMpgG6mZduM8qrvHVu6n0VZX3tneTHAybQ8q6OD1cD725bDtpn5har7eC6H1cB32qb18Mx8XYd+bwZ2i9jgeV2t6/stlH95n17N53Oq9iOt75GmPd7z+QfKPz1D03pEZs6uuv+UcgG7gYh4L6XW1wsy866WTlcBT2pbFk+i5dl4VeL9RMo/9u3PI50qkpG31clgvMvp6aw/Rsyh3N7yyyzPcryEsh88o6X/P6PU4JwwVTLyvZm5bzXtQyiJ5NG2a9h4WYy2bP6PluNEVb7vyKYdK0bTzfG/F53Kqf9jbMurF1dRbl8DHlp2j2Psz8wc7pxntLIWWuYjykuJvkS5RXSXzHwUsIwx7ttjPYdhbMt2DaV2bfuyeEhE7Aa8B/gP4IxqfntSJXRupmX9Vb/Hsu4+QJnXP6/Wz9F0t6xvptzOCUCUZwrvOHzvm2S0dTWScTk2j/d2SZmng9rmaessz3Iaq9XADtH5GYyjnauNpNMy7Cb+Xpb9cOXHaOVtN8eMDY4TrL/j59YO/Y6X4eZ9pGXSTVk5muGuG/8PmBkbvqSh2+uq9uuGYMP11YtNiWPMMvOKzDyUchz4KqW2P4zvuftIhlsvo11LjqbTtcpoZeWm7Jd/pFyTbrBfVknp1koonabR3q59vxyaxkSfv8H4nMNt8rYT5XmHnwTmZ+bPhuntzyg1G+8bpvsGenlpxx8otQOGC25WRDyvOvj9npKIGMrUrwAOjvLQ2D+l1JBr94aImBHlwY/voPNb4X4I3B3lpRnbRKl99cSIeFrV/VPAqRGxdxRPioihE41bGf0hlKOagvN5OaXK8kkRMT0ingk8l1LTon3ehh5auUcXy+HoiNg5y78xd1at11H+BZ4fES+s4t46ykM8Z1T/GB9anVT/gfJv9LpqfC+N9Q+hvYOyw2zwkpgs/5AuAd4fEdtHxGOBN7PhW0l7kpk3UN5C+N6I2CoinkW5rXLI9lWst1MKgg+0jaJ9eY+27m4F9ohxeANStew/CXwkIv4EykVDRLxwDKO7ADgkIp4V5WUc72PD8mF7yvMX74lSK7M9mda+HD4JvDYinl5to9tFxIsiYvth+t8UFwFPiPLSkS2rz9OiPDy13fcpJ3RvrPr7G8ozQYZsT9mn76z20fe0Dd8e92jTHrf5zPI21W9SLgYfEeWB04+LiL+qevkh5V/fh/4Fi4iTKEnreZnZXstikPLP+xujvPzl+Kr9f1bDvoKyvT8/M1e1x1PN69aU7WR6ta9Pq7qNWJYMlQ2UxNQW1bBbtnS/PoZ5hX21PW1NdTyqhn1Y9ftRVdmzdVXevYJycnzJOMW1VdU9gC2r7kMvDZobEcMe6Kt4tqbc9jBUNg79GztiOR3lgcHXDzPefaLUMNmmWidHV/P8naqXK4AXRcRe1bJ7PiUx/POW0fwV5SHVQ+McjIhThpuXsYiI50bEn1fbyF2UE8R1XWzXndwKzIj1b5Ru9wXg7yJiTrVtfAD4QWZeP35ztJEVwFHVOhigPNdoU/wJ68upl1JO7paNcXn14ivAEyPisGp7fTflmXHXwEMPCx/sYXzDnfOMVta224pym/4a4IEoD8we850KMYZzmKqfnsv06tzly8ApUWrr7Et53MBQLEGp3fdpSs3Dm4FTxzhrnwXeGeVB//tQnjm0qGVaGS0Pax/B9pRztN9Wx5R/6nL6F1CW3zOq/fMUJu4Pl9HW1UjWUNb3ph6fx3W7pDwT7P1Rzm+JiJ0jYti7q7pRlRkXU/5If3RVpgwljUY7VxvJrcCOUb3oYoLif1e1z8ym1FQfKj9WMPL1Vvt+2ml9fwH4xygv7ns45TixONe/AKtrPexXox27Oum1rOzkU8BbI+IvqvX8+God/YBSQ+pt1XYxl3INdH4X4/w6MDsi/qY6l3kjIydJRio7NyWOManO514REY/MUsP6LtZfd3batifCcOtltGvJ0bQv600pKzs5OiL2jVI55H3ABdVx7peUmoYvinLu/E5K+dgaV/s1cHusyyjXVS+Pcj58JKXC2UW9BhnlZS+LRusvM9dQEopHV8vnVYy9AtlY9vGHRMTzKI9XOiwzfzhCr1tS8hNd6SXpsG6U/h8GfJCS4b2FcrJ6UtXtXErtgespJ6qdklyfr7qtolRvPa29h2pjOoRSY+FX1bQ+Ral5BeVFA0uq8dxFOXnapup2CnBOlKqsG73BM8obwE4eYf6m5HxWhdihlCrLv6Uc3P926OS9zUxKtdlusugHAldFxD2Uh3wflZn3ZebqanonUw6wqykniltUnzdTsve/oVxkDiWOngb8oBrfhZRnGmyUZKA8v+V3lOX3Xcry/EwX8Y7k5ZTnJfyGciD9bEu3z7J+mfyC8izLVp8G9q2W91e7WHdfrL5vj4gfbWLcUJ7LcB3wP1Gq+l9K+SdwIyNt45l5FeWlD5+nXGzcQXluwJC3UpbT3ZRtqH3bPoUNt7vllAuNf6/GdR0bvinwnykXJXdGy5vXxiIz76acYB9F2bZuodTYGEoCnRwRF1f93k95QcGxlPV9JOVCbMhHKfvSWsq6vqRtch8DDo/ylqb/N9q0ads+NmU+K39LucD4BWW5XkBVJb+at0WUmhhDPkD5Z+y6WP+2sZNb+n9JNc47Kc+KeEnVHkrZtCNwRcuwn2gZ9ycpJ6Evo1zI30d59gaMXpa8sur/LMqzW+6rxkd1kNyRjfe1IY+t+h+qtXIf5ZlDUA6Ap7H+pR3/UM3TLzc1rso3q3bPoDxz9D7W/9s+k/KMuuG8s+r/RMo6uq9qRxfl9EzKrcmdBNUjJqr5fhPlOTJD5ctnKSfNg5Tjxf+jvOBhKIGzK+Vk6qst4xxpemP1p5Tt9S7KbV7foRwzYYTtehj/SVn/t0TERrc6ZOallGdUfolSnj2Oso9OpHdV07mD8my4z2/i+H4A7E3Zjt8PHN6StO91eW0gymMzXtGpW3Xie1g1zTsox8bWZdfrtjHcOc9HGbmsbY/rbsoF5ZIqrpdTzhXGaiznMNB2DOhhesdTbv+5hVJO/0dLtzdSziXflZlJSWz8XUQ8u30k1QXqSDX23kNZzjdQ9rF/qWr1EuUtwHdTnhM4mvdSXnrzW8qF/ZdH7r2oziX+gVLm3ExJGt5GDxcm3epiXY007L2Ubfy/q+PzX44xhvHeLj9WDf/NiLibsm88vVOPEfGJtmPySF5J+ZPlGsr6OKGKf7RztWFVx5AvAKuqZfiYXuLv0neqmC4DTs/Mb1btR7ve2uAcc5j1/ZlqPJdTztd/T9l2e9LjfjXisWsYH6WHsrKTzPwiZf4/X8X6VcpLoO6nJNYOqsZ/JsNfI7aPcy3lpRMfpFSK2JuRjw2nMMx1+KbE0a71nL8LrwSur66fXkt5JM9w2/a4G2G9jHYtOZr27X/MZeUwzqUcx26hvLTkjdX8/JbyTL1PUc6zf8eG15KdroHbr6tup8z7Wyjb1duAQ7Lzba2j6eV85e8py+R2yiNwRjqfH8mI+3hE7F5dT+2+8aBAOZd8JLCs5dqr0/Y8jbaKUSMZenj76D1GfIDyNqcXVxcnfVFlOj+VmeNVG2hSmgzzGRHvBNZk5tl1xSBp7CJiZ+C/gKd0W817guIYc1kSpZbtG6rb7SZNXF2M+1PAFzNzo9rT4zDub1L+BLl6AsZ9BuVFCmdWzTOAJZn5jJGH1OYoIlZQbvFvrzHcqd/rKQ+yvnSi49LootT+nZ2ZJ43a8/hN8+GUP5T2zsxf9Wu6Ur/UsV9JGllVeeAnlBfF9S1v1Q9RHs/wC8r51bKuhukh4bcX5d+Q2ZR7ioerfTGuIuKNlDfSHtCP6dVlc5lPSZLUfCb8Nk8RMZ9SIyuAMyg1vJ6a3V5wSJKkjVR3xb2V8mK/Y7PLlyl2XZUzM1dl5tzM3LmPyb6PAf9IubWgsTaX+axTS7XY9s9Gt8xIkjY/1S1ynY4T3d42p81IRDx7uHOLumOr2aGUR1z8H+U2v6Mme7LPfb//qtvTOy3zsb4gaLPmNjw5TcX14jXz5JWZp2fmn2bmy7pN9kEPNfwkSZIkSZIkTX6b/KZQSZIkSZIkSZOHCT9JkiRJkiSpQabXHYAkjcVOO+2Ue+yxR91hSJIkqeGuvPLKtZm5c91xSFIvTPhJmpL22GMPli9fXncYksbg0kvLi1vnzZtXcySSJI0uIm6oOwZJ6pUJP0mS1FennXYaYMJPkiRJmig+w0+SJEmSJElqEBN+kiRJkiRJUoOY8JMkSZIkSZIaxISfJEmSJEmS1CAm/CRpLFatgtmzYfr08r1qVd0RSVPG2Wefzdlnn113GJI0uXhuIUkaRyb8JPVNRMyKiBUtn7si4oSI2CEivhUR11bfj6471lHNnw/XXAMPPli+58+vOyJpypg1axazZs2qOwxJmlw8t5AkjSMTfpL6JjNXZuaczJwD/AVwL/AV4ETgsszcG7isap7cVq6EdevK73XrSrOkrixdupSlS5fWHYYkTS6eW0iSxpEJP0l1OQD438y8ATgUOKdqfw7wkrqC6tqsWbBFVYRusUVpltSVM844gzPOOKPuMCRpcvHcQpI0jkz4SarLUcAXqt+7ZObN1e9bgF06DRARCyJieUQsX7NmTT9iHN7SpbDPPjBtWvm2tpIkSdoUnltIksbR9LoDkLT5iYitgBcDJ7V3y8yMiOw0XGYuBBYCDAwMdOynb/baC666qtYQJElSg3huIUkaR9bwk1SHg4AfZeatVfOtEbErQPV9W22RSZIkSZI0xZnwk1SHl7H+dl6AC4Fjqt/HAF/re0SSJEmSJDWEt/RK6quI2A54PnBcS+sPAksi4tXADcARdcQmqT/OPffcukOQJEmSGs2En6S+yszfATu2tbud8tZeSZuBmTNn1h2CJEmS1Gje0itJkvpq8eLFLF68uO4wJEmSpMayhp8kSeqrs846C4Ajjzyy5kgkSZKkZrKGnyRJkiRJktQgJvwkSZIkSZKkBjHhJ0mSJEmSJDWICT9JkiRJkiSpQXxphyRJ6qsLLrig7hAkSZKkRjPhJ0mS+mqnnXaqOwRJkiSp0bylV5Ik9dWiRYtYtGhR3WFIkiRJjWXCT5Ik9ZUJP0mSJGlimfCTJEmSJEmSGsSEnyRJkiRJktQgJvwkSZIkSZKkBjHhJ0mSJEmSJDXI9LoDkCRJm5dly5bVHYIkSZLUaCb8JElSX2277bZ1hyBJkiQ1mrf0SuqriHhURFwQEddExNURsX9E7BAR34qIa6vvR9cdp6SJc+aZZ3LmmWfWHYYkSZLUWCb8JPXbx4BLMnMf4MnA1cCJwGWZuTdwWdUsqaGWLFnCkiVL6g5DkiRJaiwTfpL6JiIeCTwH+DRAZt6fmXcChwLnVL2dA7ykjvgkSZIkSWoCE36S+mlPYA3wHxHx44j4VERsB+ySmTdX/dwC7FJbhJIkSZIkTXEm/CT103TgqcBZmfkU4He03b6bmQlkp4EjYkFELI+I5WvWrJnwYCVJkiRJmopM+EnqpxuBGzPzB1XzBZQE4K0RsStA9X1bp4Ezc2FmDmTmwM4779yXgCVJkiRJmmqm1x2ApM1HZt4SEasjYlZmrgQOAH5RfY4BPlh9f63GMCVNsMHBwbpDkCRJkhrNhJ+kfvsH4HMRsRWwCvg7Sm3jJRHxauAG4Iga45MkSZIkaUoz4SeprzJzBTDQodMBfQ5FUk1OP/10AN761rfWHIkkSZLUTD7DT5Ik9dVFF13ERRddVHcYkiRJUmOZ8JMkSZIkSZIaxISfJEmSJEmS1CAm/CRJkiRJkqQG8aUdkiSpr7bZZpu6Q5AkSZIazYSfJEnqq4svvrjuECRJkqRG85ZeSZIkSZIkqUFM+EmSpL469dRTOfXUU+sOQ5IkSWosE36SJKmvLrvsMi677LK6w5AkSZIay4SfJEmSJEmS1CAm/CRJkiRJkqQGMeEnSZIkSZIkNcj0ugOQJEmblx133LHuECRJkqRGM+EnSZL66ktf+lLdIUiSJEmN5i29kiRJkiRJUoOY8JMkSX110kkncdJJJ9UdhiRJktRY3tIrSZL66vvf/37dIUiSJEmNZsJPUl9FxPXA3cCDwAOZORAROwCLgT2A64EjMvOOumKUJEmSJGkq85ZeSXV4bmbOycyBqvlE4LLM3Bu4rGqWJEmSJEljYMJP0mRwKHBO9fsc4CX1hSJJkiRJ0tTmLb2S+i2Bb0ZEAmdn5kJgl8y8uep+C7BLbdFJmnAzZsyoOwRJkiSp0Uz4Seq3Z2XmTRHxJ8C3IuKa1o6ZmVUycCMRsQBYALD77rtPfKSSJsR5551XdwiSJElSo3lLr6S+ysybqu/bgK8A+wG3RsSuANX3bcMMuzAzBzJzYOedd+5XyJIkSZIkTSkm/CT1TURsFxHbD/0GXgD8HLgQOKbq7Rjga/VEKKkfTjjhBE444YS6w5AkSZIay1t6JfXTLsBXIgJK+fP5zLwkIq4AlkTEq4EbgCNqjFHSBFuxYkXdIUiSJEmNZsJPUt9k5irgyR3a3w4c0P+IJEmSJElqHm/plSRJkiRJkhrEhJ8kSZIkSZLUIN7SK0mS+uoJT3hC3SFIkiRJjWbCT5Ik9dXChQvrDkGSJElqNG/plSRJkiRJkhrEhJ8kSeqrBQsWsGDBgrrDkCRJkhrLhJ8kSZPNqlUwezZMn16+V62qO6Jx9ctf/pJf/vKXdYchSZIkNZYJP0mSJpv58+Gaa+DBB8v3/Pl1RyRJkiRpCjHhJ0nSZLNyJaxbV36vW1eaJUmSJKlLJvwkSZpsZs2CLapD9BZblGZJkiRJ6pIJP0mSJpulS2GffWDatPK9dGndEY2rOXPmMGfOnLrDkCRJkhorMrPuGCSpZwMDA7l8+fK6w5AkSVLDRcSVmTlQdxyS1Atr+EmSJEmSJEkNMr3uACRNPRGxP3A08GxgV+A+4OfA14HzMvO3NYYnaZI7+uijATjvvPNqjkSSJElqJhN+knoSERcD/wd8DXg/cBuwNfAE4LnA1yLiXzPzwvqilDSZ3XjjjXWHIEmSJDWaCT9JvXplZq5ta3cP8KPqc0ZE7NT/sCRJkiRJEvgMP0k9Gkr2jZTU65AQlCRJkiRJfWLCT1JPImKo3PhmS7s39TiOaRHx44i4qGreMyJ+EBHXRcTiiNhqHEOWJEmSJGmzYsJPUq++ExGXAH8aEQdGxG7AMT2O403A1S3NHwI+kpmPB+4AXj0+oUqajPbff3/233//usOQJEmSGisys+4YJE0xEfEo4EpgEfBk4EDgIuA7mXnWKMPOAM6hvPDjzcB8YA3wp5n5QPUG4FMy84UjjWdgYCCXL1++iXMiSZIkjSwirszMgbrjkKRe+NIOST2JiG8B3wPWAf+emXdExI+BtwHP6WIUH6363b5q3hG4MzMfqJpvBHYbZtoLgAUAu++++1hnQZIkSZKkRvOWXkm9OhS4HHg48NmI+CHwWOAw4JqRBoyIQ4DbMvPKsUw4Mxdm5kBmDuy8885jGYWkSeCwww7jsMMOqzsMSZIkqbGs4SepJ5l5L3BZRNySmfMBIuJnwGrgb4GR7rN9JvDiiDgY2Bp4BPAx4FERMb2q5TcDuGki50FSvW6//fa6Q5AkSZIazRp+ksaqtXrOdzPzgsx840gDZOZJmTkjM/cAjgL+MzNfAXwbOLzq7RjgaxMRsCRJkiRJmwMTfpLGJDNXtfx+3SaO7u3AmyPiOsoz/T69ieOTJEmSJGmz5S29knoSEe8EzszM3wzT/XnAtpl50UjjycxBYLD6vQrYb3wjlSRJkiRp82TCT1KvfgYsjYjfAz8C1lCex7c3MAe4FPhAbdFJmvQOOOCAukOQJEmSGi0ys+4YJE1BEbE35SUcuwL3AVcDl2fmff2Y/sDAQC5fPtL7QSRJkqRNFxFXZuZA3XFIUi+s4SdpTDLzWuDauuOQJEmSJEkb8qUdkiSprw466CAOOuigusOQJEmSGssafpIkqa/uu68vd/5LkiRJmy1r+EmSJEmSJEkNYg0/ST2JiH8Dhn3bT2a+sY/hSJIkSZKkNib8JPXKV+NKkiRJkjSJmfCT1JPMPKfuGCRNbYccckjdIUiSJEmNZsJP0phExM7A24F9ga2H2mfm82oLStKU8Na3vrXuECRJkqRG86Udksbqc8DVwJ7Ae4HrgSvqDEiSJEmSJJnwkzR2O2bmp4E/ZuZ3MvNVgLX7JI1q7ty5zJ07t+4wJEmSpMbyll5JY/XH6vvmiHgR8H/ADjXGI0mSJEmSsIafpLE7LSIeCbwFeCvwKeAf6w1JmuRWrYLZs2H69PK9alXdEUmSJElqIGv4SRqTzLyo+vlb4Ll1xiJNGfPnwzXXwLp15Xv+fLjqqrqjkiRJktQwJvwk9SQi3paZH46IfwOyvXtmvrGGsKSpYeXKkuyD8r1yZb3xSJIkSWokE36SenV19b18LANHxNbA5cDDKGXQBZn5nojYEzgf2BG4EnhlZt4/DvFKk8esWetr+G2xRWneDB1xxBF1hyBJkiQ1WmRuVEFHkkYUEdOAD2XmW8cwbADbZeY9EbEl8F3gTcCbgS9n5vkR8QngJ5l51nDjGRgYyOXLx5RzlOqzalW5jXflypLsW7oU9tqr7qgkSdIIIuLKzByoOw5J6oU1/CT1JCKmZ+YDEfHMsQyf5V+Ge6rGLatPAs8DXl61Pwc4BRg24SdNSXvt5TP7gHvvvReAbbfdtuZIJEmSpGYy4SepVz8EngqsiIgLgS8CvxvqmJlfHm0EVQ3BK4HHAx8H/he4MzMfqHq5EdhtnOOWNEkcfPDBAAwODtYbiCRJktRQJvwkjdXWwO2UmnkJRPU9asIvMx8E5kTEo4CvAPt0M8GIWAAsANh9993HFLQkSZIkSU1nwk9Sr/4kIt4M/Jz1ib4hPT0UNDPvjIhvA/sDjxq6XRiYAdzUof+FwEIoz/AbY/ySJEmSJDXaFnUHIGnKmQY8vPps3/J76DOiiNi5qtlHRGwDPJ/y5t9vA4dXvR0DfG28A5ckSZIkaXNgDT9Jvbo5M9+3CcPvCpxTPcdvC2BJZl4UEb8Azo+I04AfA58eh1glSZIkSdrsmPCT1KsYvZfhZeZPgad0aL8K2G9Txi1pajj22GPrDkGSJElqNBN+knp1QN0BSJraTPhJkiRJE8tn+EnqSWb+pu4YJE1ta9euZe3atXWHIUmSJDWWNfwkSVJfHX54eT/P4OBgvYFIkiRJDWUNP0latQpmz4bp08v3qlV1R6SpwO1GkiRJ0iRlwk+S5s+Ha66BBx8s3/Pn1x2RpgK3G0mSJEmTlAk/SVq5EtatK7/XrSvN0mjcbiRJkiRNUib8JGnWLNiiKg632KI0S6Nxu5EkSZI0SfnSDklaurTcjrlyZUnaLF1ad0SaCtxuxux1r3td3SFIkiRJjRaZWXcMktSzgYGBXL58ed1hSJIkqeEi4srMHKg7Dknqhbf0SpqarrrKt6JKU9Tq1atZvXp13WFIzePbwyVJUsUafpKmpIGIXL7vviXxJ2lKmTt3LgCDg4O1xiE1zuzZ5a3h69aVZ4vus4/HSWkcWMNP0lRkDT9JU5dvRZXWs2aPJN8eLg3P46SkzYwJP0lTl29FldabP7/U7HnwwfI9f37dEUnqN98eLg3P46SkzYwJP0lT09Zb+1ZUqZU1eyQtXVpu4502rXx7nJTW8zgpaTMzve4AJGlMZs+GvfaqOwpp8pg1a8Nnd1mzR9r87LWXz+yThuNxUtJmxoSfJElNsHRpuT1p5cpyETOJa/a85S1vqTsESdLmZgodJyVpPPiWXklT0sDAQC5fvrzuMCRJktRwvqVX0lTkM/wk9U1EzIyIb0fELyLiqoh4U9V+h4j4VkRcW30/uu5YJU2clStXstJnJ0mSJEkTxoSfpH56AHhLZu4L/CXwhojYFzgRuCwz9wYuq5olNdRxxx3HcccdV3cYkiRJUmOZ8JPUN5l5c2b+qPp9N3A1sBtwKHBO1ds5wEtqCVCSJEmSpAYw4SepFhGxB/AU4AfALpl5c9XpFmCXuuKSJEmSJGmqM+Enqe8i4uHAl4ATMvOu1m5Z3iTU8W1CEbEgIpZHxPI1a9b0IdJRrFoFs2fD9Onle9WquiOSJEmSJMmEn6T+iogtKcm+z2Xml6vWt0bErlX3XYHbOg2bmQszcyAzB3beeef+BDyS+fPhmmvgwQfL9/z5dUckSZIkSRLT6w5A0uYjIgL4NHB1Zv5rS6cLgWOAD1bfX6shvN6tXAnr1pXf69aVZkmjeuc731l3CJIkSVKjWcNPUj89E3gl8LyIWFF9DqYk+p4fEdcC86rmyW/WLNiiKka32KI0SxrVvHnzmDdvXt1haHPiIxgkSdJmxhp+kvomM78LxDCdD+hnLONi6dJyG+/KlSXZt3Rp3RFJU8KKFSsAmDNnTq1xaDMy9AiGdevWP4LhqqvqjkqSJGnCRHk+viRNLQMDA7l8+fK6w5A0BnPnzgVgcHCw1ji0GZk+vTxvdci0afDAA/XFI2lKiYgrM3Og7jgkqRfe0itJkqRm8xEMkiRpM2PCT5IkSc22dCnss0+p2bfPPj6CQZIkNZ7P8JMkSVKz7bWXz+yTJEmbFWv4SZIkSZIkSQ1iDT9JktRXH/jAB+oOQZIkSWo0E36SJKmvnvGMZ9QdgiRJktRo3tIrSZL66nvf+x7f+9736g5DkiRJaixr+EmSpL46+eSTARgcHKw3EEmSJKmhrOEnSZIkSZIkNYgJP0mSJEmSJKlBTPhJkiRJkiRJDWLCT5IkSZIkSWoQX9ohSZL66qMf/WjdIUiSJEmNZsJPkiT11Zw5c+oOQZIkSWo0b+mVJEl9demll3LppZfWHYYkSZLUWNbwkyRJfXXaaacBMG/evJojkSRJkprJGn6S+ioiPhMRt0XEz1va7RAR34qIa6vvR9cZoyRJkiRJU5kJP0n9tgg4sK3dicBlmbk3cFnVLEmSJEmSxsCEn6S+yszLgd+0tT4UOKf6fQ7wkk2e0KpVMHs2TJ9evlet2uRRStIms2ySNN4sVyRJHZjwkzQZ7JKZN1e/bwF22eQxzp8P11wDDz5YvufP3+RRStIms2ySNN4sVyRJHfjSDkmTSmZmRGSnbhGxAFgAsPvuu488opUrYd268nvdutIsaVI4++yz6w6hPpZNksab5YokqQNr+EmaDG6NiF0Bqu/bOvWUmQszcyAzB3beeeeRxzhrFmxRFXFbbFGaJU0Ks2bNYtbmuk9aNkkab5YrkqQOTPhJmgwuBI6pfh8DfG2Tx7h0KeyzD0ybVr6XLt3kUUoaH0uXLmXp5rpPWjZJGm+WK5KkDiKz451zkjQhIuILwFxgJ+BW4D3AV4ElwO7ADcARmdn+Yo8NDAwM5PLlyyc0VkkTY+7cuQAMDg7WGockSd2IiCszc6DuOCSpFz7DT1JfZebLhul0QF8DkSRJkiSpobylV5IkSZIkSWoQE36SJEmSJElSg5jwkyRJkiRJkhrEZ/hJkqS+Ovfcc+sOQZIkSWo0E36SJKmvZs6cWXcIkiRJUqN5S68kSeqrxYsXs3jx4rrDkCRJkhrLGn6SJKmvzjrrLACOPPLImiORJEmSmskafpIkSZIkSVKDmPCTJEmSJEmSGsSEnyRJkiRJktQgJvwkSZIkSZKkBvGlHZIkqa8uuOCCukOQJEmSGs2EnyRJ6quddtqp7hAkSZKkRvOWXkmS1FeLFi1i0aJFdYchSZIkNZYJP0mS1Fcm/CRJkqSJZcJPkiRJkiRJahATfpImjYg4MCJWRsR1EXFi3fFIkiT1xapVMHs2TJ9evletqjuiibc5zrMk9ZEJP0mTQkRMAz4OHATsC7wsIvatNypJkqQ+mD8frrkGHnywfM+fX3dEE29znGdJ6iMTfpImi/2A6zJzVWbeD5wPHFpzTJIkSRNv5UpYt678XreuNDfd5jjPktRH0+sOQJIquwGrW5pvBJ5eUyySJtCyZcvqDkGSJpdZs0ott3XrYIstSnPTbY7zLEl9ZA0/SVNGRCyIiOURsXzNmjV1hyNpjLbddlu23XbbusOQpMlj6VLYZx+YNq18L11ad0QTb3OcZ0nqI2v4SZosbgJmtjTPqNo9JDMXAgsBBgYGsn+hSRpPZ555JgCvf/3ra45EkiaJvfaCq66qO4r+2hznWZL6yBp+kiaLK4C9I2LPiNgKOAq4sOaYJE2AJUuWsGTJkrrDkCRJkhrLGn6SJoXMfCAijge+AUwDPpOZ/u0rSZIkSVKPTPhJmjQycxng0/wlSZIkSdoE3tIrSZIkSZIkNYgJP0mSJEmSJKlBItMXXUqaeiJiDXDDBE5iJ2DtBI5f48v1NfW4zqYe19nU4zqbWlxfk9djM3PnuoOQpF6Y8JOkDiJieWYO1B2HuuP6mnpcZ1OP62zqcZ1NLa4vSdJ48pZeSZIkSZIkqUFM+EmSJEmSJEkNYsJPkjpbWHcA6onra+pxnU09rrOpx3U2tbi+JEnjxmf4SZIkSZIkSQ1iDT9JkiRJkiSpQUz4SVIlIl4aEVdFxLqIGGjrdlJEXBcRKyPihXXFqOFFxCkRcVNErKg+B9cdkzqLiAOrfem6iDix7ng0soi4PiJ+Vu1Xy+uORxuLiM9ExG0R8fOWdjtExLci4trq+9F1xqgNDbPOPI5JksaNCT9JWu/nwN8Al7e2jIh9gaOA2cCBwJkRMa3/4akLH8nMOdVnWd3BaGPVvvNx4CBgX+Bl1T6mye251X41MHqvqsEiyvGp1YnAZZm5N3BZ1azJYxEbrzPwOCZJGicm/CSpkplXZ+bKDp0OBc7PzD9k5q+A64D9+hud1Bj7Addl5qrMvB84n7KPSRqjzLwc+E1b60OBc6rf5wAv6WdMGtkw60ySpHFjwk+SRrcbsLql+caqnSaf4yPip9WtUt6+Njm5P009CXwzIq6MiAV1B6Ou7ZKZN1e/bwF2qTMYdc3jmCRpXJjwk7RZiYhLI+LnHT7WMJoCRll/ZwGPA+YANwNn1Bmr1CDPysynUm7DfkNEPKfugNSbzExK4laTm8cxSdK4mV53AJLUT5k5bwyD3QTMbGmeUbVTn3W7/iLik8BFExyOxsb9aYrJzJuq79si4iuU27IvH3koTQK3RsSumXlzROwK3FZ3QBpZZt469NvjmCRpU1nDT5JGdyFwVEQ8LCL2BPYGflhzTGpTXdAO+WvKS1g0+VwB7B0Re0bEVpQX4lxYc0waRkRsFxHbD/0GXoD71lRxIXBM9fsY4Gs1xqIueByTJI0na/hJUiUi/hr4N2Bn4OsRsSIzX5iZV0XEEuAXwAPAGzLzwTpjVUcfjog5lNvWrgeOqzUadZSZD0TE8cA3gGnAZzLzqprD0vB2Ab4SEVDOGz+fmZfUG5LaRcQXgLnAThFxI/Ae4IPAkoh4NXADcER9EardMOtsrscxSdJ4ifJID0mSJEmSJElN4C29kiRJkiRJUoOY8JMkSZIkSZIaxISfJEmSJEmS1CAm/CRJkiRJkqQGMeEnSZIkSZIkNYgJP0mSJEmSJKlBTPhJkiRJkiRJDWLCT5IkSZIkSWoQE36SJEmSJElSg5jwkyRJkiRJkhrEhJ8kSZIkSZLUICb8JEmSJEmSpAYx4SdJkiRJkiQ1iAk/SZIkSZIkqUFM+EmSJEmSJEkNYsJPkiRJkiRJahATfpIkSZIkSVKDmPCTJEmSJEmSGsSEnyRJkiRJktQgJvwkSZIkSZKkBjHhJ0mSJEmSJDWICT9JkiRJkiSpQUz4SZIkSZIkSQ0yve4AJGksDjzwwLzkkkvqDkOSJEnNF3UHIEm9soafpClp7dq1dYcgaYwuvfRSLr300rrDkCRJkhrLGn6SJKmvTjvtNADmzZtXcySSJElSM1nDT5IkSZIkSWoQE36SJEmSJElSg5jwkyRJkiRJkhrEhJ+kCRcRB0bEyoi4LiJO7ND92IhYExErqs9r6ohTkiRJkqQm8KUdkiZUREwDPg48H7gRuCIiLszMX7T1ujgzj+97gJL67uyzz647BEmSJKnRTPhJmmj7Addl5iqAiDgfOBRoT/hJ2kzMmjWr7hAkSZKkRvOWXkkTbTdgdUvzjVW7dodFxE8j4oKImNmf0CTVYenSpSxdurTuMCRJkqTGMuEnaTJYCuyRmU8CvgWc06mniFgQEcsjYvmaNWv6GqCk8XPGGWdwxhln1B2GJE1au87YnYh46LPrjN3rDkmSNMV4S6+kiXYT0Fpjb0bV7iGZeXtL46eAD3caUWYuBBYCDAwM5PiGKUmSNDncctNqHvv2ix5qvuFDh9QYjSRpKrKGn6SJdgWwd0TsGRFbAUcBF7b2EBG7tjS+GLi6j/FJkiRJktQo1vCTNKEy84GIOB74BjAN+ExmXhUR7wOWZ+aFwBsj4sXAA8BvgGNrC1iSJEmSpCnOhJ+kCZeZy4Blbe3e3fL7JOCkfsclSZIkSVITmfCTJEl9de6559YdgiRJktRoJvwkSVJfzZw5c/SeJEmSJI2ZL+2QJEl9tXjxYhYvXlx3GJIkSVJjWcNPkiT11VlnnQXAkUceWXMkkiRJUjNZw0+SJEmSJElqEBN+kiRJkiRJUoOY8JMkSZIkSZIaxISfJEmSJEmS1CC+tEOSJPXVBRdcUHcIkiRJUqOZ8JMkSX2100471R2CJEmS1Gje0itJkvpq0aJFLFq0qO4wJEmSpMYy4SdJkvrKhJ8kSZI0sUz4SZIkSZIkSQ1iwk+SJEmSJElqEBN+kiRJkiRJUoOY8JMkSZIkSZIaZHrdAUiSpM3LsmXL6g5BkiRJajQTfpIkqa+23XbbukOQJEmSGs1beiVJUl+deeaZnHnmmXWHIUmSJDWWCT9JktRXS5YsYcmSJXWHIUmSJDWWCT9JkiRJkiSpQUz4SZIkSZIkSQ1iwk+SJEmSJElqEBN+kiRJkiRJUoNMrzsASZK0eRkcHKw7BEmSJKnRrOEnSZIkSZIkNYgJP0mS1Fenn346p59+et1hSJIkSY1lwk+SJPXVRRddxEUXXVR3GJIkSVJjmfCTNOEi4sCIWBkR10XEiSP0d1hEZEQM9DM+SZIkSZKaxISfpAkVEdOAjwMHAfsCL4uIfTv0tz3wJuAH/Y1QkiRJkqRmMeEnaaLtB1yXmasy837gfODQDv2dCnwI+H0/g5MkSZIkqWlM+EmaaLsBq1uab6zaPSQingrMzMyv9zMwSfXYZptt2GabbeoOQ5IkSWqs6XUHIGnzFhFbAP8KHNtFvwuABQC77777xAYmacJcfPHFdYcgSZIkNZo1/CRNtJuAmS3NM6p2Q7YHnggMRsT1wF8CF3Z6cUdmLszMgcwc2HnnnScwZEmSJEmSpi4TfpIm2hXA3hGxZ0RsBRwFXDjUMTN/m5k7ZeYembkH8D/AizNzeT3hSppop556KqeeemrdYUiSJEmNZcJP0oTKzAeA44FvAFcDSzLzqoh4X0S8uN7oJNXhsssu47LLLqs7DEmSJKmxfIafpAmXmcuAZW3t3j1Mv3P7EZMkSZIkSU1lDT9JkiRJkiSpQUz4SZIkSZIkSQ3iLb2SJKmvdtxxx7pDkCRJkhrNhJ8kSeqrL33pS3WHIEmSJDWat/RKkiRJkiRJDWLCT5Ik9dVJJ53ESSedVHcYkiRJUmN5S68kSeqr73//+3WHIEmSJDWaNfwkSZIkSZKkBjHhJ0mSJEmSJDWICT9JkiRJkiSpQXyGnyRJ6qsZM2bUHYIkSZLUaCb8JElSX5133nl1hyBJkiQ1mrf0SpIkSZIkSQ1iwk+SJPXVCSecwAknnFB3GJIkSVJjeUuvJEnqqxUrVtQdgiRJktRo1vCTJEmSJEmSGsSEnyRJkiRJktQgJvwkSZIkSZKkBvEZfpIkqa+e8IQn1B2CJEmS1Ggm/CRJUl8tXLiw7hAkSZKkRvOWXkmSJEmSJKlBTPhJkqS+WrBgAQsWLKg7DEmSJKmxvKVXkiT11S9/+cu6Q5AkSZIazRp+kiRJkiRJUoOY8JMkSZIkSZIaxISfJEmSJEmS1CA+w0+SJPXVnDlz6g5BkiRJajQTfpIkqa8++tGP1h2CJEmS1Gje0itJkiRJkiQ1iAk/SWMSEY+OiCd12e+BEbEyIq6LiBM7dH9tRPwsIlZExHcjYt/xj1jSZHH00Udz9NFH1x2GJEmS1Fgm/CR1LSIGI+IREbED8CPgkxHxr6MMMw34OHAQsC/wsg4Jvc9n5p9n5hzgw8CI45Q0td14443ceOONdYchSZIkNZYJP0m9eGRm3gX8DfDZzHw6MG+UYfYDrsvMVZl5P3A+cGhrD9U4h2wH5DjGLEmSJEnSZsWXdkjqxfSI2BU4AnhHl8PsBqxuab4ReHp7TxHxBuDNwFbA8zYxTkmSJEmSNlvW8JPUi/cB36DU2LsiIvYCrh2PEWfmxzPzccDbgXd26iciFkTE8ohYvmbNmvGYrCRJkiRJjWMNP0mjioiXAd/MzC8CXxxqn5mrgMNGGfwmYGZL84yq3XDOB87q1CEzFwILAQYGBrztV5qi9t9//7pDkCRJkhrNhJ+kbuwOfDEitgQuAy4GfpiZ3STdrgD2jog9KYm+o4CXt/YQEXtn5lBNwRcxTrUGJU1O//zP/1x3CJIkSVKjmfCTNKrM/BDwoYjYnvKSjlcBn4iIq4FLgG9k5q3DDPtARBxPuRV4GvCZzLwqIt4HLM/MC4HjI2Ie8EfgDuCYiZ8rSZIkSZKayYSfpK5l5t3AV6oPEbEvcBDwWeCFIwy3DFjW1u7dLb/fNBHxSpqcDjusPAngS1/6Us2RSJIkSc3kSzskdS0inhkR21W/jwZeA1yQmcMm+ySp3e23387tt99edxiSJElSY5nwk9SLs4B7I+LJwFuA/6XU7pMkSZIkSZOECT9JvXigelHHocC/Z+bHge1rjkmSJEmSJLXwGX6SenF3RJwEvBJ4dkRsAWxZc0ySJEmSJKmFCT9JvTgSeDnwqsy8JSJ2B/6l5pgkTTEHHHBA3SFIkiRJjWbCT1LXqiTfl4C9q1Zrqd7YK0ndete73lV3CJIkSVKj+Qw/SV2LiL8HLgDOrlrtBny1toAkSZIkSdJGTPhJ6sUbgGcCdwFk5rXAn9QakaQp56CDDuKggw6qOwxJkiSpsbylV1Iv/pCZ90cEABExHch6Q5I01dx33311hyBJkiQ1mjX8JPXiOxFxMrBNRDwf+CKwtOaYJEmSJElSCxN+knpxIrAG+BlwHLAsM99Rb0iSJEmSJKmVt/RK6sUpmflu4JMAETEtIj6Xma+oOS5JkiRJklQx4SepFzMj4qTM/OeI2ApYAqyoOSZJU8whhxxSdwiSJElSo5nwk9SLVwGfi4iTgOcCF2fmR2qOSdIU89a3vrXuECRJkqRG8xl+kkYVEU+NiKcCTwE+BhwJXEt5icdT64jpJz/9KRGxwWfXGbuPOMyuM3YfdZj2fkYbZ6dhpj9sm55jUzOMx/Yz2jY5Xtu6JpexbDsam81x/9gc53lzNNXLkbrid/+Q1FSRmXXHIGmSi4hvj9A5M/N5fQumEhH52LdftEG7Gz50CCOVaRHBaMO09zPaOIcbptfY1Azjtf2MtE12M96xDNNPc+fOBWBwcLDWOCaTsWw7GpvJvn9MhM1xnqe6iTieTHZ1xd/l/hETHogkjTNv6ZU0qsx8bt0xSJIkSZKk7pjwkzSqiDg6M8+LiDd36p6Z/9rvmCRJkiRJUmcm/CR1Y7vqe/tao5AkSZIkSaMy4SdpVJl5dvX93rpjkSRJkiRJIzPhJ6lrEbEX5S29fwkk8H3gHzNzVa2BSZpSjjjiiLpDkCRJkhrNhJ+kXnwe+Djw11XzUcAXgKfXFpGkKef1r3993SFIkiRJjbZF3QFImlK2zcxzM/OB6nMesHXdQUmaWu69917uvffeusOQJEmSGssafpJ6cXFEnAicT7ml90hgWUTsAJCZv6kzOElTw8EHHwzA4OBgvYFIkiRJDWXCT1Ivhh68dRwl4QcQlFt7E9irjqAkSZIkSdJ63tIrqRdvB56cmXsC/wH8BDgsM/fMTJN9kiRJkiRNAib8JPXinZl5V0Q8C3ge8CngrJpjkiRJkiRJLUz4SerFg9X3i4BPZubXga1qjEeSJEmSJLXxGX6SenFTRJwNPB/4UEQ8DP84kNSjY489tu4QJEmSpEYz4SepF0cABwKnZ+adEbEr8E+jDRQRBwIfA6YBn8rMD7Z1fzPwGuABYA3wqsy8YbyDlzQ5mPCTJEmSJpY1cyR1LTPvzcwvZ+a1VfPNmfnNkYaJiGnAx4GDgH2Bl0XEvm29/RgYyMwnARcAHx7/6CVNFmvXrmXt2rV1hyFJkiQ1lgk/SRNtP+C6zFyVmfcD5wOHtvaQmd/OzHurxv8BZvQ5Rkl9dPjhh3P44YfXHYYkSZLUWCb8JE203YDVLc03Vu2G82rg4k4dImJBRCyPiOXjGJ8kSZIkSY3iM/wkTRoRcTQwAPxVp+6ZuRBYWPWbfQxNkiRJkqQpw4SfpIl2EzCzpXlG1W4DETEPeAfwV5n5hz7FJkmSJElS43hLr6SJdgWwd0TsGRFbAUcBF7b2EBFPAc4GXpyZt9UQoyRJkiRJjWENP0kTKjMfiIjjgW8A04DPZOZVEfE+YHlmXgj8C/Bw4IsRAfDrzHxxbUFLmlCve93r6g5BkiRJajQTfpImXGYuA5a1tXt3y+95fQ9KUm2OPPLIukOQJEmSGs1beiVJUl+tXr2a1atXj96jJEmSpDGxhp8kSeqrV77ylQAMDg7WG4gkSZLUUNbwkyRJkiRJkhrEhJ8kSZIkSZLUICb8JEmSJEmSpAYx4SdJkiRJkiQ1iC/tkCRJffWWt7yl7hAkSZKkRjPhJ0mS+mr+/Pl1hyBJkiQ1mrf0SpKkvlq5ciUrV66sOwxJkiSpsazhJ0mS+uq4444DYHBwsN5AJEmSpIayhp8kSZIkSZLUICb8JEmSJEmSpAYx4SdJkiRJkiQ1iAk/SZIkSZIkqUF8aYckSeqrd77znXWHIEmSJDWaCT9JktRX8+bNqzsESZIkqdG8pVeSJPXVihUrWLFiRd1hSJIkSY1lDT9JktRXJ5xwAgCDg4O1xiFJkiQ1lTX8JEmSJEmSpAYx4SdJkiRJkiQ1iAk/SZIkSZIkqUFM+EmSJEmSJEkN4ks7JElSX33gAx+oOwRJkiSp0Uz4SZKkvnrGM55RdwiSJElSo3lLryRJ6qvvfe97fO9736s7DEmSJKmxrOEnSZL66uSTTwZgcHCw3kAkSZKkhrKGnyRJkiRJktQgJvwkSZIkSZKkBjHhJ2nCRcSBEbEyIq6LiBM7dH9ORPwoIh6IiMPriFGSJEmSpKYw4SdpQkXENODjwEHAvsDLImLftt5+DRwLfL6/0UmSJEmS1Dy+tEPSRNsPuC4zVwFExPnAocAvhnrIzOurbuvqCFBSf330ox+tOwRJkiSp0Uz4SZpouwGrW5pvBJ5eUyySJoE5c+bUHYIkSZLUaCb8JE0ZEbEAWFB3HJI2zaWXXgrAvHnzao5EkiRJaiYTfpIm2k3AzJbmGVW7nmXmQmAhQETkpocmqQ6nnXYaYMJPkiRJmii+tEPSRLsC2Dsi9oyIrYCjgAtrjkmSJEmSpMYy4SdpQmXmA8DxwDeAq4ElmXlVRLwvIl4MEBFPi4gbgZcCZ0fEVfVFLEmSJEnS1OYtvZImXGYuA5a1tXt3y+8rKLf6SpIkSZKkTWQNP0mSJEmSJKlBrOEnSZL66uyzz647BEmSJKnRTPhJkqS+mjVrVt0hSJIkSY3mLb2SJKmvli5dytKlS+sOQ5IkSWosa/hJkqS+OuOMMwCYP39+zZFIkiRJzWQNP0mSJEmSJKlBTPhJkiRJkiRJDWLCT5IkSZIkSWoQE36SJEmSJElSg/jSDkmS1Ffnnntu3SFIkiRJjWbCT5Ik9dXMmTPrDkGSJElqNG/plSRJfbV48WIWL15cdxiSJElSY1nDT5Ik9dVZZ50FwJFHHllzJJIkSVIzWcNPkiRJkiRJahATfpIkSZIkSVKDmPCTJEmSJEmSGsSEnyRJkiRJktQgvrRDkiT11QUXXFB3CJIkSVKjmfCTJEl9tdNOO9UdgiRJktRo3tIrSZL6atGiRSxatKjuMCRJkqTGMuEnSZL6yoSfJEmSNLFM+EmSJEmSJEkNYsJPkiRJkiRJahATfpIkSZIkSVKDmPCTJEmSJEmSGmR63QFIkqTNy7Jly+oOQZIkSWo0E36SJKmvtt1227pDkCRJkhrNW3olSVJfnXnmmZx55pl1hyFJkiQ1lgk/SZLUV0uWLGHJkiV1hyFJkiQ1lgk/SRMuIg6MiJURcV1EnNih+8MiYnHV/QcRsUcNYUqSJEmS1Agm/CRNqIiYBnwcOAjYF3hZROzb1turgTsy8/HAR4AP9TdKSZIkSZKaw4SfpIm2H3BdZq7KzPuB84FD2/o5FDin+n0BcEBERB9jlCRJkiSpMUz4SZpouwGrW5pvrNp17CczHwB+C+zYl+gkSZIkSWqYyMy6Y5DUYBFxOHBgZr6man4l8PTMPL6ln59X/dxYNf9v1c/atnEtABZUjbOAlRMY+k7A2lH70mTh+pp6XGdTj+ts6nGdTS2ur8lrbWYeWHcQktSL6XUHIKnxbgJmtjTPqNp16ufGiJgOPBK4vX1EmbkQWDhBcW4gIpZn5kA/pqVN5/qaelxnU4/rbOpxnU0tri9J0njyll5JE+0KYO+I2DMitgKOAi5s6+dC4Jjq9+HAf6bVjyVJkiRJGhNr+EmaUJn5QEQcD3wDmAZ8JjOvioj3Acsz80Lg08C5EXEd8BtKUlCSJEmSJI2BCT9JEy4zlwHL2tq9u+X374GX9juuUfTl1mGNG9fX1OM6m3pcZ1OP62xqcX1JksaNL+2QJEmSJEmSGsRn+EmSJEmSJEkNYsJPkioR8dKIuCoi1kXEQFu3kyLiuohYGREvrCtGDS8iTomImyJiRfU5uO6Y1FlEHFjtS9dFxIl1x6ORRcT1EfGzar9aXnc82lhEfCYibouIn7e02yEivhUR11bfj64zRm1omHXmcUySNG5M+EnSej8H/ga4vLVlROxLeZHIbOBA4MyImNb/8NSFj2TmnOqzbPTe1W/VvvNx4CBgX+Bl1T6mye251X41MHqvqsEiyvGp1YnAZZm5N3BZ1azJYxEbrzPwOCZJGicm/CSpkplXZ+bKDp0OBc7PzD9k5q+A64D9+hud1Bj7Addl5qrMvB84n7KPSRqjzLyc8pb7VocC51S/zwFe0s+YNLJh1pkkSePGhJ8kjW43YHVL841VO00+x0fET6tbpbx9bXJyf5p6EvhmRFwZEQvqDkZd2yUzb65+3wLsUmcw6prHMUnSuDDhJ2mzEhGXRsTPO3ysYTQFjLL+zgIeB8wBbgbOqDNWqUGelZlPpdyG/YaIeE7dAak3mZmUxK0mN49jkqRxM73uACSpnzJz3hgGuwmY2dI8o2qnPut2/UXEJ4GLJjgcjY370xSTmTdV37dFxFcot2VfPvJQmgRujYhdM/PmiNgVuK3ugDSyzLx16LfHMUnSprKGnySN7kLgqIh4WETsCewN/LDmmNSmuqAd8teUl7Bo8rkC2Dsi9oyIrSgvxLmw5pg0jIjYLiK2H/oNvAD3raniQuCY6vcxwNdqjEVd8DgmSRpP1vCTpEpE/DXwb8DOwNcjYkVmvjAzr4qIJcAvgAeAN2Tmg3XGqo4+HBFzKLetXQ8cV2s06igzH4iI44FvANOAz2TmVTWHpeHtAnwlIqCcN34+My+pNyS1i4gvAHOBnSLiRuA9wAeBJRHxauAG4Ij6IlS7YdbZXI9jkqTxEuWRHpIkSZIkSZKawFt6JUmSJEmSpAYx4SdJkiRJkiQ1iAk/SZIkSZIkqUFM+EmSJEmSJEkNYsJPkiRJkiRJahATfpIkSZIkSVKDmPCTJEmapCJix4hYUX1uiYibqt/3RMSZEzTNEyLib0fofkhEvG8ipi1JkqTxEZlZdwySJEkaRUScAtyTmadP4DSmAz8CnpqZDwzTT1T9PDMz752oWCRJkjR21vCTJEmaYiJibkRcVP0+JSLOiYj/iogbIuJvIuLDEfGziLgkIras+vuLiPhORFwZEd+IiF07jPp5wI+Gkn0R8caI+EVE/DQizgfI8m/xIHBIX2ZWkiRJPTPhJ0mSNPU9jpKsezFwHvDtzPxz4D7gRVXS79+AwzPzL4DPAO/vMJ5nAle2NJ8IPCUznwS8tqX9cuDZ4z4XkiRJGhfT6w5AkiRJm+zizPxjRPwMmAZcUrX/GbAHMAt4IvCtckcu04CbO4xnV+DqluafAp+LiK8CX21pfxvwmPELX5IkSePJhJ8kSdLU9weAzFwXEX/M9Q9pXkc53wvgqszcf5Tx3Ads3dL8IuA5wHzgHRHx59XtvltX/UqSJGkS8pZeSZKk5lsJ7BwR+wNExJYRMbtDf1cDj6/62QKYmZnfBt4OPBJ4eNXfE4CfT3jUkiRJGhMTfpIkSQ2XmfcDhwMfioifACuAZ3To9WJKjT4ot/2eV90m/GPg/2XmnVW35wJfn8iYJUmSNHax/o4PSZIkbe4i4ivA2zLz2mG67wJ8PjMP6G9kkiRJ6pYJP0mSJD0kImYBu2Tm5cN0fxrwx8xc0dfAJEmS1DUTfpIkSZIkSVKD+Aw/SZIkSZIkqUFM+EmSJEmSJEkNYsJPkiRJkiRJahATfpIkSZIkSVKDmPCTJEmSJEmSGuT/A0hcZFLaLLjVAAAAAElFTkSuQmCC", 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" ] @@ -1669,10 +1688,8 @@ { "cell_type": "code", "execution_count": null, - "id": "93bf7940-a3bb-4ab9-abd3-95f6a2282775", - "metadata": { - "lines_to_next_cell": 2 - }, + "id": "1e6407b3", + "metadata": {}, "outputs": [], "source": [] } diff --git a/notebooks/py_scripts/07-downstream-analysis.py b/notebooks/py_scripts/07-downstream-analysis.py index d2a3f853..0281755c 100644 --- a/notebooks/py_scripts/07-downstream-analysis.py +++ b/notebooks/py_scripts/07-downstream-analysis.py @@ -8,9 +8,9 @@ # format_version: '1.5' # jupytext_version: 1.13.7 # kernelspec: -# display_name: venv-nwb +# display_name: Python 3.8.11 ('ele') # language: python -# name: venv-nwb +# name: python3 # --- # + [markdown] tags=[] @@ -110,9 +110,10 @@ alignment_key = (event.AlignmentEvent & 'alignment_name = "center_button"' ).fetch1('KEY') alignment_condition = {**clustering_key, **alignment_key, - 'trial_condition': 'ctrl_center_button'} + 'trial_condition': 'ctrl_center_button', + 'bin_size':.2} analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True) - +alignment_condition.pop('bin_size') analysis.SpikesAlignmentCondition.Trial.insert( (analysis.SpikesAlignmentCondition * ctrl_trials & alignment_condition).proj(), skip_duplicates=True) @@ -125,8 +126,11 @@ # Now, let's create another set for the stimulus condition. # + a set of trials of interest to perform the analysis on - `stim` trials stim_trials = trial.Trial & clustering_key & 'trial_type = "stim"' -alignment_condition = {**clustering_key, **alignment_key, 'trial_condition': 'stim_center_button'} +alignment_condition = {**clustering_key, **alignment_key, + 'trial_condition': 'stim_center_button', + 'bin_size':.2} analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True) +alignment_condition.pop('bin_size') analysis.SpikesAlignmentCondition.Trial.insert( (analysis.SpikesAlignmentCondition * stim_trials & alignment_condition).proj(), skip_duplicates=True) @@ -151,7 +155,15 @@ # + a set of trials of interest to perform the analysis on - `stim` trials [markdown] # ## Visualize # -# We can visualize the results with the `plot` function. +# We can visualize the results with the `plot` function with our keys. +# - + +clustering_key = (ephys.CuratedClustering + & {'subject': 'subject6', 'session_datetime': '2021-01-15 11:16:38', + 'insertion_number': 0} + ).fetch1('KEY') +alignment_key = (event.AlignmentEvent & 'alignment_name = "center_button"' + ).fetch1('KEY') # + a set of trials of interest to perform the analysis on - `stim` trials alignment_condition = {**clustering_key, **alignment_key, 'trial_condition': 'ctrl_center_button'} @@ -162,4 +174,3 @@ analysis.SpikesAlignment().plot(alignment_condition, unit=2); # - - diff --git a/workflow_array_ephys/analysis.py b/workflow_array_ephys/analysis.py index 62d3a487..ecae583e 100644 --- a/workflow_array_ephys/analysis.py +++ b/workflow_array_ephys/analysis.py @@ -3,6 +3,7 @@ from .pipeline import db_prefix, ephys, trial +__all__ = ["db_prefix", "ephys", "trial", "event"] schema = dj.schema(db_prefix + 'analysis') @@ -101,6 +102,7 @@ def plot(self, key, unit, axs=None): if axs is None: fig, axs = plt.subplots(2, 1, figsize=(12, 8)) + bin_size = (SpikesAlignmentCondition & key).fetch1("bin_size") trial_ids, aligned_spikes = (self.AlignedTrialSpikes & key & {'unit': unit} ).fetch('trial_id', 'aligned_spike_times') @@ -111,7 +113,7 @@ def plot(self, key, unit, axs=None): plot_psth._plot_spike_raster(aligned_spikes, trial_ids=trial_ids, ax=axs[0], title=f'{dict(**key, unit=unit)}', xlim=xlim) - plot_psth._plot_psth(psth, psth_edges, ax=axs[1], + plot_psth._plot_psth(psth, psth_edges, bin_size, ax=axs[1], title='', xlim=xlim) return fig diff --git a/workflow_array_ephys/plotting/plot_psth.py b/workflow_array_ephys/plotting/plot_psth.py index 4d8182a7..30297dbd 100644 --- a/workflow_array_ephys/plotting/plot_psth.py +++ b/workflow_array_ephys/plotting/plot_psth.py @@ -16,7 +16,7 @@ def _plot_spike_raster(aligned_spikes, trial_ids=None, vlines=[0], ax=None, titl assert len(raster) == len(trial_ids) - ax.plot(raster, trial_ids, 'r.', markersize=1) + ax.plot(raster, trial_ids, 'ro', markersize=4) for x in vlines: ax.axvline(x=x, linestyle='--', color='k') @@ -24,15 +24,15 @@ def _plot_spike_raster(aligned_spikes, trial_ids=None, vlines=[0], ax=None, titl ax.set_ylabel('Trial (#)') if xlim: ax.set_xlim(xlim) - ax.set_axis_off() + # ax.set_axis_off() ax.set_title(title) -def _plot_psth(psth, psth_edges, vlines=[0], ax=None, title='', xlim=None): +def _plot_psth(psth, psth_edges, bin_size, vlines=[0], ax=None, title='', xlim=None): if not ax: fig, ax = plt.subplots(1, 1) - ax.plot(psth_edges, psth, 'r') + ax.bar(psth_edges, psth, width=bin_size, edgecolor="black", align="edge") for x in vlines: ax.axvline(x=x, linestyle='--', color='k')