diff --git a/MDAnalysis.log b/MDAnalysis.log new file mode 100644 index 0000000..c9d2711 --- /dev/null +++ b/MDAnalysis.log @@ -0,0 +1,24 @@ +2022-02-04 19:07:51,031 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:07:51,054 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:07:51,054 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:16:24,065 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:16:24,066 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:16:24,066 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:18,431 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:18,438 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:18,438 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:32,294 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:32,295 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:32,295 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:54,452 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:54,453 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:27:54,453 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:28:02,963 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:28:02,964 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 19:28:02,964 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:10,131 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:10,132 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:10,132 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:14,400 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:14,400 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' +2022-02-04 21:34:14,400 MDAnalysis INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log' diff --git a/README.md b/README.md index 65dd465..97b3e1a 100644 --- a/README.md +++ b/README.md @@ -91,7 +91,11 @@ optional arguments: -curve Calculate Curvature -diffu Calculate Diffusion -cluster Generate Lipid Cluster Plots + -angle ANGLE [ANGLE ...] + Calculate angle of selected lipids with the z-axis + -c_atom C_ATOM Name of the atom to which the lipid vector is to be defined -split Split Calculations into Upper and Lower Membranes + -combine Combine lipids specifed for angle calculation -bfac bFactor Calculate B-factor. "atomwise", "groupwise". -xbins Num_xBins Number of bins in x-direction -ybins Num_yBins Number of bins in y-direction @@ -106,4 +110,4 @@ The GUI offers the same functionality with the ease of a graphical interface. To ### Python Package -Detailed documentation and usage instructions for pyLFDA can be found in this [example](https://github.com/RayLabIIITD/pyLFDA/blob/main/pyLFDA/example.ipynb). +Detailed documentation and usage instructions for pyLFDA can be found in [example-1](https://github.com/RayLabIIITD/pyLFDA/blob/main/example.ipynb), [example-2](https://github.com/RayLabIIITD/pyLFDA/blob/main/example_het_aa.ipynb), [example-3](https://github.com/RayLabIIITD/pyLFDA/blob/main/example_het_cg.ipynb). diff --git a/example.ipynb b/example.ipynb new file mode 100644 index 0000000..0c920a8 --- /dev/null +++ b/example.ipynb @@ -0,0 +1,900 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "101a7955", + "metadata": { + "toc": true + }, + "source": [ + "

Table of Contents

\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5651f343", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n" + ] + } + ], + "source": [ + "from pyLFDA import LFDA\n", + "from PIL import Image" + ] + }, + { + "cell_type": "markdown", + "id": "dc16479b", + "metadata": {}, + "source": [ + "# Create an Experiment\n", + "the `LFDA()` class is central in running analysis on your simulations. \\\n", + "\\\n", + "Arguments:\n", + "- `experiment_name` : Name of the experiment. Uses this to create a directory to store outputs in. If not specified time-stamp of experiment will be used.\n", + "- `pdb_filename` : Path of the PDB file to be used.\n", + "- `gro_filename` : Path of the GRO file to be used.\n", + "- `trr_filename` : Path of the TRR file to be used.\n", + "- `tpr_filename` : Path of the TPR file to be used.\n", + "- `ndx_filename` : Path of the NDX file to be used.\n", + "- `gfda_version` : Version of Gromacs FDA to be used. Creates a directory with the name to store it and uses it for further experiments. Currently, we support these cersions only - ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b14a0b36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making MDA Universe from PDB and TRR file\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/bhavay/anaconda3/envs/myenv/lib/python3.6/site-packages/MDAnalysis/topology/PDBParser.py:317: UserWarning: Element information is missing, elements attribute will not be populated. If needed these can be guessed using MDAnalysis.topology.guessers.\n", + " warnings.warn(\"Element information is missing, elements attribute \"\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing GRO file to calculate numbers of atoms, atoms information and box vectors\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/testfiles/step7_1.gro file parsed. with 106628 atoms in 0.32509374618530273 seconds\n" + ] + } + ], + "source": [ + "#To do analysis, first we create an LFDA() object.\n", + "#It stores all files required to do the experiment.\n", + "#The argument names are self explanatory.\n", + "experiment = LFDA(experiment_name=\"example_run\", trr_filename=\"../testfiles/step7_1.trr\", tpr_filename=\"../testfiles/step7_1.tpr\", ndx_filename=\"../testfiles/step7_1.ndx\", pdb_filename=\"../testfiles/step7_1.pdb\", gro_filename=\"../testfiles/step7_1.gro\", gfda_version=\"v2019.3-fda2.9.1\")\n", + "#The specified version will automatically be downloaded and be used for any subsequent experiments if the files are run from the same directory." + ] + }, + { + "cell_type": "markdown", + "id": "bca862b5", + "metadata": {}, + "source": [ + "## Run GROMACS FDA\n", + "`run_fda()` create `.pfi` file and then generating a PFA file using GROMACS FDA. \\\n", + " \\\n", + " Arguments : \n", + " - `group1` : 1st group selected\n", + " - `group2` : 2nd group selected\n", + " - `residue_list` : [group1, group2]\n", + " - `pfi_filename` : Name of the PFI file to be generated. It is inferred from the experiment class if None.\n", + " - `pfa_filename` : Name of the PFA file to be generated. It is inferred from the experiment class if None." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c8ca7097", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating PFI file\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/L-FDA/example_run/pfi_Oct-21-2021_2122.pfi file created in 0.0006275177001953125 seconds \n", + "Running Gromacs FDA\n", + "GMX RUN completed in 803.5580012798309 seconds\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/L-FDA/example_run/pfa_file.pfa PFA file is generated in /mnt/c/Users/bhava/Desktop/work/lfda/L-FDA/example_run\n" + ] + } + ], + "source": [ + "#Run GROMACS FDA to calculate pairwise forces.\n", + "#This command creates a .pfa file containing pairwise forces between atoms.\n", + "experiment.run_fda(group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"], pfa_filename=\"pfa_file.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ae52caa1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading PFA file generated by Gromacs FDA\n" + ] + } + ], + "source": [ + "#Running GROMACS FDA can be a time consuming process.\n", + "#If you want to continue experimenting on a .pfa file you had previously generated.\n", + "#you can just load it and continue working.\n", + "#you dont need to run `run_fda()` if you load your .pfa file.\n", + "experiment.load_pfa(pfa_filename=\"example_run/pfa_file.pfa\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "7c3220aa", + "metadata": {}, + "source": [ + "# Parsing PFA File\n", + "The `.pfa` file generated by GROMACS FDA is parsed for further analyses. The file can be parsed in two ways depending on your use case. \n", + " - `Average Parsing` - Allows for calculation of averaged properties over all frames. set `mode` argument to `average`.\n", + " - `Framewise Parsing` - Allows for calculation of either properties for a specific frame or for a moving window over all frames. set `mode` argument to `framewise`.\n" + ] + }, + { + "cell_type": "markdown", + "id": "244134ea", + "metadata": {}, + "source": [ + "## Averaged Parsing" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "71eacbc9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as average\n", + "Parsed PFA file /mnt/c/Users/bhava/Desktop/work/lfda/L-FDA/example_run/generated_pfa_average.pfa created with 106628 atoms in 781.4019544124603 seconds\n", + "PFA file parsed in 0.33820247650146484 seconds\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed as average or framewise.\n", + "experiment.framewise=False #we specify that we need to parse pfa as average.\n", + "experiment.parse_pfa(file_name=\"generated_pfa_average.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "34535933", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Average parsed PFA file\n", + "PFA file parsed in 0.2735872268676758 seconds\n" + ] + } + ], + "source": [ + "#Parsing .pfa can also be time consuming.\n", + "#You can just load the parsed .pfa to continue experimenting.\n", + "#The generated pfa file should be parsed as average to further parse it as average and similarly for framewise.\n", + "#using this function in \"average\" mode automatically sets \"experiment.framewise\" to \"False\".\n", + "experiment.parse_parsed_pfa(file_name=\"example_run/generated_pfa_average.pfa\", mode=\"average\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "cfb0ce9f", + "metadata": {}, + "source": [ + "# Curvature \n", + "This function generates curvature plots using MDAnalysis and displays them along with pairwise forces of the selected groups and the angle they make with the z-axis. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None.\n", + " - `num_x_bins`: (int) Number of bins in x-direction. default: 10.\n", + " - `num_y_bins`: (int) Number of bins in y-direction. default: 10.\n", + " - `split`: (bool) Split Calculations into Upper and Lower Membranes. default: False" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b56980da", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Generate curavture plots\n", + "experiment.curvature()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b32b9e60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise curvature plots\n", + "img = Image.open('example_run/curvature_averaged_10_10_P.png')\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d6904e19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Splitting the curavture into upper and lower membrane.\n", + "experiment.curvature(split=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8ffaefcc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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4GO9pQl5enuLi4rRq1Spt3LhRe/bs0YEDB3T69Gnl5OQY3evkyZPGB7hLUkxMjF588UU9/fTT+Z63bVuzZ88+b8Ynn3yiGjVqGO8GAABQ1nWr2krh/iH6R9wkpeSkG8ncknRA9y4fqzc63KVqFcKNZAIw7/sHv1fKUdduQP5dr096KaBSwN+OB1YO1JUvXKnOj3XWug/WaeWbK5UWn+bWXoViSzu+2KEdX+xQ3WvqKubpGNXsWpMHKgMAUAjzDq3UruSjLq+vG1xFb3a8W94OL4OtgJLH2+GlR5v1VZWASpqw8xtjudP2LVR8RpKebjmQBx4AAACgpHrOtu1j7obYtv2aZVm9JHX6y6mulmVF2rZ90t09AAAAgPNZFr/VpXU+Di91jGxouM3FaxZWU5X8gpWYlVrotUviNzPAHQAAAAAAoJhwRSAAACjRyuLgdkk68MsB/TDqB7dzal1RS9eNvc5AI+B/WZYl3yBf+Qb5KuSSkEKvd+Y6/3+ge0FD4M8lnNPmqZvlzHUa6ZyXlae5Q+cqflO8rn7tajm8GahdlkUFhGlU094aWv9qfXlwmWYfWGpsSM3F2pp0UP9Y+7HqV6ymR5vfoqZhNT26PwAAAFDWDB48WI8//ni+A8xjY2PzHeAeGxtbYN7QoUON9jNh6dKl+uijj/TNN98oMTHRI3tmZGQUWfZTTz2lRYsW6aeffir02lGjRqlXr15F0AoAAKB8aFGptsZ3GaXH10zUcUOfox45d0ojl4/Vq+3vUNOwWkYyAZizbdY2bf50s1sZHR7soLpX1z3va/yC/dT5sc7q8EAHbYzdqOWvLdfZA2fd2rew9v20T/t+2qdLOl+imH/EqP4N9RnkDgDABSRlperDXd+5lfFI81sY3o5yw7IsDa7XTdGBYXp542fKceYZyV1wfINOZybrlXbDVdG3gpFMAAAAwBQTw9v/5A1JX/7lmEPStZKmGtwHAAAA+JtlCa4NcG9bub4Cvf0Nt7l4Dsuhy6Kb66tDKwq9dtXJncrMy5a/l28RNAMAAAAAAMD5MNEQAACUSLnOPH1/JE63LXpVr2ya7tHh7ZYsdavaSrGXP64X2txufHh70v4kzbpllttDq0Nrh6rfrH7y8uGGKZQ8Dm+HAsMDValeJVVrX011r66rprc2Vdu72yrmyRhd9Z+r1OvjXhry8xAFVA4wuveqt1bpsxs+U0ZS0Q2oQ8kR4ltBwxtcq9nd/6VRTXor0j/U4x32pBzTgyvf0y/HN3p8bwAAAKAsCQ8P1/XXX5/vuR9++EEJCQn/cywzM1MzZ87M9/UtWrRQ69atjXd01cKFC9WhQwd17dpVU6ZM8djwdunXf09FxbIsTZ06VVWqVCnUurZt2+qNN94oolYAAADlR42gSE3oMlpNQ809YPRsdppGrXxfS064NyQagFmpJ1L17chv3cqo3LCyrnr1qot+vbe/t9rd004P7n5QN0+7WZHNIt3a3xVHVhzR9J7T9UGrD7Rl+hZjDwcHAKAsen/HN0rLcf16qeuqt1eLSrUNNgJKh+5VW+vtjvcq2MfcdYybEvfr3uXv6vg5z137DAAAABSD+ZLsfI6b++AKAAAAyMfxc2e0PzXepbUx0c0Mtym8y6Obu7Quy5mjNSd3Gm4DAAAAAACAi8EAdwAAUKKU5cHtkpSVkqXpN01XRqJ7g6V9g3w18OuBCgwPNNQMKB61Lq+lu+LuUmRzszf77/tpnz7q+JFO7ThlNBclV4C3n/rV6aoZ3Z7W0y0HqmZQlEf3z3Hm6YUNn2pFwnaP7gsAAACUNcOGDcv3eG5urqZNm/Y/x+bMmaPk5OR8Xz906FDT1VySnp6uESNGqHv37oqLiyuWDnl5eUWaHxkZqWnTpsnhuLiPHStWrKiZM2fK19e3SHsBAACUF2F+QRrT6V51dfHGvvxkO3P1zLpYfb5/sbFMAK6zbVvz7pjn1nUGlpelPlP7yCfQp9BrHd4ONR/UXCM3jdSArwaoWsdqLvdwVcLmBH056Eu91+g9rZu4TrlZuR7vAABASbY5cb9+OOr6e9BBPgG6t/GNBhsBpUvLynU0octoVQmsZCzz8LmTGrl8jLYnHTKWCQAAAJQktm2nSUrK55T5G/IAAACAP1mWsNXltV2imhps4prWlespyMWHii6O32K4DQAAAAAAAC4GA9wBAECJUNYHt0uSM8+pL2/7Uqe2uTlQ2pJu/uxmRTY1O/AaKC5htcN054o71fjmxkZzE/ckatKlk7T7291Gc1Gy+Ti8dd0l7TXl8sf1Srs71CS0hsf2zrOd+te6ydp0Zr/H9gQAAADKmhtuuEHh4eH5nouNjT3vr3/n7e2twYMHG+9WWGfOnNEVV1yhSZMmFXeVInfllVfqX//610W99sMPP1TdunWLuBEAAED54uflq3+3Hap+tbsay7Rl693tX2nstjnKs53GcgEU3toJa7X3h71uZVz+7OWq1t69weuWw1LDmxrqzpV36vaFt6vOVXXcynNF0r4kfXP3NxpbZ6xWvrVS2WnZHu8AAEBJk+vM05tbvnAr4+6G1yvML9hQI6B0qhEUqQ+6jFZjg9ebJWWnadTK97U03vVhQgAAAEAJl5PPMT5YAgAAQJFydYB745BLFO4fYrhN4Xk7vBTj4iD5FQnblOPkofcAAAAAAACexgB3AABQrMrD4PbfLXxmoXZ/7f4g6e6vdFfDng0NNAJKDt8gX/Wb1U+XP3+50dyslCxN7zldy15bJtu2jWajZHNYDl0W3UwTuozW2E73qWNEI4/sm+3M1ZNxH2l38lGP7AcAAACUNT4+Pho0aFC+5zZv3qyNGzdKko4dO6b58+fn+7oePXooKiqqqCpelIyMDN14442Ki4sr1h6elJ194aF59evXV79+/TzQBgAAoPzxshwa1bS3RjftLUuWsdxZB5bq2XWxysxjSDJQHM7sPqP5j+X/8+/Fqtahmi57+jJDjSTLslT7ytoaMn+IRqwZoUZ9PPM53J+lHk/VT4/+pHdqvqNFLyxSRmKGxzsAAFBSfHFwmfannnB5faOQS3RTzU4GGwGlV5hfsMZ2uk8xUc2MZWY5c/TPtZ/oiwNLjWUCAAAAJYFlWRUkReRzyvUfUgEAAIALSMk+p82JB1xaGxNt7r1fd3WNbuHSurTcTK0/vddwGwAAAAAAAFyId3EXAAAA5VOuM0/zj61X7J6fPDq0Xfp1cPuVVVtqWP1rinxo++82T9us5a8udzun+aDm6vJkFwONgJLHcli64rkrFNU8SnNun6Occzlmgm1pwVMLdHLzSfX8qKd8AnzM5KJUsCxLrSvXU+vK9bQ7+ag+2/eLfjm+UU4V3UD/c7mZenT1hxrX+QHVCIossn0AACiLAr38irsCUCj8mS0aQ4cO1dixY/M9N3nyZL3zzjuaOnWqnE5ngeuL2xNPPKFVq1Zd1GujoqLUpUsXtWzZUnXr1lWNGjUUGRmpkJAQBQcHy8fHRz4+PrKsgodwnu+cJ8yfP1+vvvrqBV+3Z88evfrqq3r66ac90AoAAKB8uqV2V0UGhOnf6z9VltPMZy1L4rdo9Mr39Wr7OxXmF2wkE8CFOXOdmjNkjnLSXf//sneAt/pM7SOHt8Ngsz9Ua19N/b/sr1PbT2n5a8u1edpm2Xmee7B2RmKGFj+/WCv/u1JtR7ZVp0c6KbgKf08BAMqP05nJ+nj3Dy6vt2TpkeZ95WUVzfcKQGnk7+Wrl9oN03vbvtLsg2aGrtuy9c62OTqRkaj7GveUg//PAQAAoGy4XFJ+39yW2WmSlmX5SSotFw3yZjkAACiTVpzcoTw7//sILsTkwzvd1SGigfy9fJWZl13otUviN6tjZKMiaAUAAAAAAICCMMAdAAB4VLEPbq/SUkPrX606Fat4bN9ja45p3p3z3M6p2r6qen7Us9gHcgFFrfHNjVWpXiXN6DVDZw+eNZa75bMtOr3rtAbMHaCK1Ssay0Xp0SCkup5vM0R3NbxO0/cv0vdH1ijbmVske53NTtMjqz/QuM4PKCogrEj2AACgLJpz9fPFXQFACdCmTRs1b95cW7Zs+du5zz77TG+88YZiY2PzXVupUiX17NmzqCue16ZNmzRu3LjzvsbX11fDhw/XiBEj1K5dO7f2s23PDcbLT3x8vG677baL7vHcc8/p8ssvV5cuPKQQAACgqHSNbq4xne7TU3GTdDY7zUjm9rOHNXL5WL3R4S4eXgp4yNL/LNWxNcfcyrjmv9eocoPKhhoVLKJJhHrH9tYVL1yh5W8s14ZJG5SXlVfk+/4uOy1bK/+7UmvGrlGr4a3U5YkuCqvDZ3QAgLLvve3zlJ6b5fL6m2p2UuPQGgYbAWWDl+XQ6GZ9VCWwkt7bPk+2zHwWM3P/YsWnJ+lfrQfJz8vXSCYAAABQjIbncyxH0k+eLuJB/5D0XHGXAAAAKM+WxW91aV3VwMqqHRxtuI3r/Lx8dWlkYy06sanQa5clbNMjtpMH9AIAAAAAAHgQ78QAAACPyHXm6fsjcbpt0at6ZdN0jw5vt2SpW5VWmtz1Mb3Q9naPDm9PPZ6qGb1nuH1jclCVIPWf018+AT6GmgElW1SLKN0Vd5dqXVHLaO6JdSf0YbsPdWTFEaO5KF2qVQjXY81v0efdntHgut1Uwdu/SPZJyEjSo6s/MDYcBwAAAChPhg4dmu/xU6dO6fnnn9fOnTvzPT9gwAD5+fkVZbULeumll847zLxOnTpavXq1JkyY4Pbwdkk6e/as2xmucjqduu2223Ty5MmLXpObm6uBAwcqMTGxCJsBAACgaVhNfdBltC6pEGEs83j6Gd27fKw2J+43lgkgf8fXHteSfy9xK6PutXXV7l73f+4sjNBaobph3A166OBD6vJkF/kGe3YoZV52ntZ9sE7v1n9XXw7+UglbEjy6PwAAnrT29G4tOL7B5fUhvhV0d8PrDDYCyp5b61yuf7e9Xb4Ob2OZi+M366FVE5SUxTVlAAAAKL0sy2op6eZ8Tv1i23ayp/sAAACgfMjKy9GaU/nfR3AhMVHNZFmW4UbuuTy6uUvrErNStS3poNkyAAAAAAAAOC8GuAMAgCJVXge3S1JORo5m9J6htBPu3WTh5eelAXMHqGK1ioaaAaVDYHigbvvpNrW7z+xQgXMJ5xR7Zaw2fOz6DYwoGyr7V9TIxjdqdvd/6Z5GN6iSX7DxPQ6lndTjqyfqXE6m8WwAAACgLBs8eLC8vfMfhvGf//ynwHUFDX73lMTERM2bN6/A85GRkVqxYoVatWplbM+kpCRjWYX18ssva8GCBYVed+TIEQ0fPrwIGgEAAODPqlaorPFdRqlFpdrGMlNy0vXwqgluDYoEcH45GTmaM2SOnLlOlzMCKgWo18e9iu3m46DoIF316lV6+PDDuvKlKxUYHujR/W2nrS2fbdGEFhM0o9cMHV111KP7AwBQ1LLzcvX2li/dyri3cU9V9K1gqBFQdl1RpaXGdLpPIQb//7I16aDuWz5WR8+dMpYJAAAAeIplWV6SJij/GQVveLgOAAAAypH1p/coIy/bpbUx0U0Nt3Ffp8gm8nF4ubR28YkthtsAAAAAAADgfBjgDgAAikR5HtwuSbZt6+sRX+t43HG3s3p93EvVOlQz0Aoofbx8vHTDuBt04wc3yuFt7seXvOw8zbtznn546Ae3Bh+gbAjyCdBt9brr827/1KPNb1HVwMpG83cmH9E/1k5SVl6O0VwAAACgLIuOjta1116b7znbtvM93rhxY3Xo0KEoa13Q/PnzlZ1d8EXh77//vqKioozuWVwD3JcuXaoXXnihwPMOh0NBQUEFnp83b57GjBlTFNUAAADwJyG+FfRWx5HqVrWVscxsZ66eXz9V0/YuLPD7cwCu+/mpn3V652m3Mm4Yf4OCq5p/eHFh+Yf6q+s/u2r0wdHqMaaHKlb3/IPrd83bpUmdJim2W6z2zd/H31sAgDJh5oFFOnzupMvrm4XV0nXV2xlsBJRtzcJqaUKXUaoeGG4s82j6aY1cNlZbEg8YywQAAAA85J+SLs3n+Le2bf/s6TIAAAAoP5YnbHNpXUWfQDUPq224jfsq+PirbXgDl9Yuid/M9Q8AAAAAAAAexAB3AABgVHkf3P675a8t15bP3H9ycZenuqj5oOYGGgGlW9u72+r2hbcrMCLQaO7qMas17bppykjMMJqL0snPy1e9a3bWtCue0nOth6hexarGsjec2afn109RrjPPWCYAAABQ1g0dOrRIX18UVq5cWeC56Oho9enTx/ieW7duNZ55IWfOnNHAgQOVl1fwzzhPP/20Pvnkk/PmPPHEE1q3bp3pegAAAPgLPy8fPdf6Ng2qe6XR3Ak7v9GbW7/gvW/AoH3z92nN2DVuZTQf3FxNb21qqJEZvhV81XFUR43aN0o3TbpJlepX8niHg78c1KfXfKqPOnykHXN2yHZyIzMAoHSKT09U7O75Lq93yNKjzfvKYXErCVAY1StEaHzMKDULq2UsMznnnB5aNV6LTmwylgkAAAAUJcuyrpX0XD6nkiXd5+E6AAAAKEectlPLXBzg3jmqibwdXoYbmXF5tGtzJOIzkrQ75ZjhNgAAAAAAACgIV90CAAAjGNz+h11f79KCpxe4ndOgZwN1f7m7gUZA2VDzspq6K+4uRbeKNpq7/+f9mthhok5uO2k0F6WXt8NLV1VrrY8ve1T/7XCXWlWqayR3WcI2vbZ5ppy200geAAAAUNbddNNNCgsLu6jXOhwO3XbbbUXc6MJ27dpV4Lkbb7xRDof5j+aWL19uPPN8bNvW0KFDdexYwRd8x8TE6Pnnn9ctt9yikSNHFvi67OxsDRgwQKmpqUVRFQAAAH/isBy6t3FPPdr8FjlkGcv96tAKPb32E6XnZhnLBMqrjKQMfTX8K7cyKlavqOvfu95QI/O8fL3U+o7Wun/H/brl81uMf/Z7MY6vPa7Pb/5c7zd7X5umbFJeDg+hAACULmO3zVWWM8fl9X1rx6hexWoGGwHlR6hvkN65dKSuqNLSWGa2M1fPrpuiGfsXybZ5yBAAAABKLsuymkiaqfxnE4y0bfuwhysBAACgHNl59ojOZKW4tLZLVFPDbczpEtXM5Wu5lpzYbLgNAAAAAAAACsIAdwAA4BYGt/+vk1tP6stBX0pu3kMR0TRCN396syyHueEJQFkQWjNUw5cNV5N+TYzmJu1L0qRLJ2nX1wUP2kP5Y1mWOkY21rud79ejzW8xkvnD0bV6b/tX3GwHAAAAXAQ/Pz8NGDDgol579dVXq1q14h84c/z48QLP1apVq0j2XLZsWZHkFuStt97St99+W+D5ypUra/r06fLy8pIkvf3222revHmBr9+7d6/uvvtu4z0BAACQv941O+s/7e9UgJevscyVJ7frwZXjdDrTtZskAfzqu/u/U+ox9x5w1WtyL/mH+htqVHQcXg417ddUd6+/W4O/H6wal9XweIfTO05r7tC5erf+u1ozbo1yMlwfhAsAgKesTNiupQlbXV5fyS9YdzToYbARUP74efnqhTZDNKDOFcYybdkat32e3tk2R3m201guAAAAYIplWdUkfScpJJ/T79q2PcPDlQAAAFDOLEvY5tI6X4e3OkQ0MtzGnDC/ILWsXMeltYvjtxhuAwAAAAAAgIIwwB0AALiEwe1/l34mXdNvmq7stGy3cgIqBWjgvIHyq+hnqBlQtvhW8NUtM2/RlS9eaTQ3Oy1bM3rN0NJXljJcG3/Tu2Zn3dPoBiNZsw4sVeye+UayAAAAgLJu2LBhF/W6oUOHFm2Ri5Senl7guYiICOP7rV27Vjt27DCeW5A1a9boH//4x3lfM3nyZFWvXv3/f+3v76/PP/9cFSpUKHDNjBkz9NFHHxnrCQAAgPPrHNVE73a6X5X8go1l7k4+qpHLx+hAaryxTKA82Tpzq7ZOd30YqyR1HN1Rdbq7dlNvcbEsS/V61NPwJcM1fOlw1b++vsc7JB9K1vcPfK8xtcZo2WvLlJWS5fEOAABcjKy8bL2zbY5bGQ826aUgnwBDjYDyy2E5dH+Tm/Rws5vlkGUs98uDy/TM2k+Ukcv3pAAAACg5LMuKkPSTpJr5nP5K0sOebQQAAIDyaJmLD7htE15fgd4le2ZD1+jmLq07lJagg6kJhtsAAAAAAAAgPwxwBwAAhcLg9vzl5eRp1i2zdPbAWbdyHN4O9ZvdT2F1wswUA8ooy7LU9Zmu6j+3v3yDfM0F29LCfy7UFwO/UE56jrlclAmD63bTwDpmHhwwafcP+uLAUiNZAAAAQFnWoUMHNW7c+LyvCQkJUZ8+fTzU6Px8fQv+GTUtLc34fmPGjDGeWZDk5GQNGDBAOTkF/7z88MMP68Ybb/zb8UaNGum99947b/6oUaO0bds2t3sCAADg4jQMvUQfdBmtWkFRxjITMpJ03/KxWn96j7FMoDxIOZaib+/91q2M8Mbh6v6f7oYaFY8aMTU06NtBunv93Wp6a1MZnIN5Uc6dPKcFTy3Q2zXe1sJnFurcqXOeLQAAwAV8unehjrtxvWabyvXUvWprg40A3FwrRi+3Gy4/h4+xzGUJ2zR65ftKzEo1lgkAAAC4yrKsMP06vL1JPqd/ktTftu08z7YCAABAeXPs3GkdSI13ae1lUc0MtzHvMhcHuEvSkvgtBpsAAAAAAACgIN7FXQAAAJQOuc48zT+2XrF7fvLo0Hbp18HtV1ZpqaH1ry5RQ9v/7IfRP+jgooNu5/QY20O1r6ztfiGgnGjUq5HuXHmnZvSaoaT9ScZyt83cpjO7z2jA3AEKqRFiLBelm2VZurfxjUrJSde3R1a7nffOtjkK9gnUNdXbGmgHAAAAlF3PPvus5s6dW+D5Sy+9VP7+/p4rdB4REREFnjt8+LDRvfbu3avPP//caOb5jBgxQgcOHCjwfLt27fTqq68WeH7YsGFasGCBPv3003zPZ2RkqH///lqzZo0CAwPd7gsAAIALiw6spPe7jNIzaz/R+jN7jWSm5Wbq0dUf6qmW/XVt9XZGMoGyzLZtzbtjnjKTMl3OcHg7dPOnN8snwNzQyOJUpXUV3TLzFl354pVa/vpybZqySc4cp8f2z0rO0tKXl2rlWyvV5q426vxYZ4VcwmfGAIDidfTcKX22b6HL670tLz3crK8sy8NPSAHKgZjoZnq38/16cs1HSso28zDfHclHNHL5GL3R4S7VNPjgNQAAAKAwLMuqKOlHSa3yOb1YUm/btrM8WgoAAADl0tKErS6v7RzV1GCTohEVEKbGIZdoR/KRQq9dEr9Zt9e/qghaAQAAAAAA4M8Y4A4AAM4r15mnn4+vV+zu+Tqaftqje5eGwe2SFDc+TmvHr3U7p9297dT+3vYGGgHlS2SzSI1YM0Kzb52tAwsLHiRXWPEb4jWx/UTd+sWtqhFTw1guSjfLsvR4i35Ky8nQ4vjNbue9smm6Kvj4q0spuAgEAAAAKC4DBgzQgAEDirvGRTnfAPcff/zR2D55eXkaMmSIsrOzjWWez/jx4zV79uwCz1esWFEzZ86Ur6/vBXNWr16tPXv25Ht+27ZtGjVqlD766CO3+gIAAODiBfsE6L8d79Zrmz7Xj8fc/8xTknLtPL208TOdSE/U0PpXMyQSOI+49+O076d9bmVc/tzlqtKm5F5T4arKDSrrpo9u0hXPX6EVb67Q+g/XKyc9x2P752bkas3YNVo7fq1aDGmhmCdjVLlBZY/tDwDA72zb1jtb5yjbmetyRv86l6tWMEOggaLSOLSGJsSM1hNrJupQ2kkjmSfSE3Xv8rF6pd0dalW5rpFMAAAA4GJZlhUk6XtJ+d3otkLSjbZtZ3i2FQAAAMqrZfGuDXBvElpD4f4VDbcpGl2rtHBpgPuu5KOKT09UdGClImgFAAAAAACA3zmKuwAAACiZcp15+uFonIYsek0vb5zu0eHtlix1q9JKk7s+phfa3l6ih7cf+OWAvn/we7dzal1RSz3G9DDQCCifAisHavAPg9XhwQ5Gc8+dPKfYbrFa/9F6o7ko3bwsh55tfZvahTdwOyvPdurZdbHacGavgWYAAAAAilvz5s0LPLdz50798ssvRvb597//rVWrVhnJupBNmzbpkUceOe9rJk6cqDp16lwwKygoSJ9//rn8/PwKfM2kSZM0ffr0QvcEAACA63wc3vpnq4EaWv9qo7mTdv+g1zbPVK4zz2guUFac3nVa8x+f71ZG9UurK+apGEONSqaK1Suqx9s99NChh9T1X13lH+rv0f2dOU5t/Hij3mv0nmbdOksnNpzw6P4AACyJ36LVp3a6vD7SP9T49/oA/q5qYGW93/lBtax04c9LLlZqToYeWT1BPx/bYCwTAAAAuBDLsipI+k5S53xOr5F0nW3baZ5tVWL8R1JIKfmqXkT/DgAAADwqOfuctiQecGltTHQzw22KTtfogu9DuJAl8VsMNgEAAAAAAEB+GOAOAAD+B4PbL17ivkTNumWW7DzbrZzQ2qHqN6ufvHy8DDUDyicvHy9dN/Y69fyopxw+5n7UceY49fVdX+u7B79TXg4DRvArXy9vvdxuuJqE1nA7K9uZq6fiJmlX8lEDzQAAAAAUp2uuuea850ePHq1z5865tce4ceP073//262Mi5WWlqb+/fsrMzOzwNfcfffduvXWWy86s1WrVnrzzTfP+5p77rlHe/fyoCsAAABPsixLIxpep6da9JeXZe5zlm+PrNETcR/pXE7B31MC5VFeTp7mDJmj3IxclzN8An3UZ2ofObzLx2WggeGBuvLfV+qhQw/pqteuUoWoCp4tYEvbZ23Xh20+1LTrpunQ0kOe3R8AUC5l5GZp7La5bmWMatpbAd4FP1QTgDkVfSvorY4jdVXV1sYyc5x5emHDVE3bu0C27d71ygAAAMCFWJYVKOkbSZflc3q9pGtt207xbKuSw7btLNu2U0rDl6TU4v73BQAAYMLKk9vllGvvjcZElZ4B7jWCIlU7ONqltQxwBwAAAAAAKHrl484dAABwQQxuL5yslCzNuGmGMhIz3MrxDfLVwK8HKjA80FAzAG3ubKOhvwxVhUizN+zHvRenT6/9VOln0o3movQK9PbTGx3uUh0XL4r4s/TcLD26+gMdTjtpoBkAAACA4tK+fXuFh4cXeH7Lli3q06eP0tLSCp2dmZmphx56SA888IA7FQvlvvvu065duwo837x5c40ZM6bQuffff7/69OlT4PnU1FQNGDBA2dnZhc4GAACAe26o0VGvd7hLgQYHPMad2qX7V7yrkxlnjWUCpd3Sl5fqeNxxtzKueesaVapXyVCj0sOvop+6PNFFow+M1vXvX6/QWqEe77D3h72a3HWyPrnsE+35bg+DNAEARSZ2z3ydzDzr8vqOEY3UNbq5uUIALsjXy1v/aj1Yt9XrbjR3ws5v9eaW2cp15hnNBQAAAH5nWVaApHmSrsjn9GZJV9u2fdaTnQAAAIBl8VtdWlctsLJqBUUZblO0XP1MZ3PiASVm8fweAAAAAACAosQAdwAAyjkGtxeeM8+pLwd/qVPbT7kXZEk3f3azIptGmikG4P/V6FJDd8XdpejW7g/W/rODvxzUxPYTdXIrQ7bxq4q+FfRmx3tUJdD94RjJ2ef08KoJSshIMtAMAAAAQHHw8vLSQw89dN7XzJ8/X61atdKPP/54UZm5ubmaOXOmWrZsme+w9G7durlS9YImT56sqVOnFng+MDBQM2fOlL+/v0v5kyZNUs2aNQs8v27dOj3++OMuZQMAAMA9HSIaalznBxXhH2Isc1/qCY1cPkZ7U9wbWA2UBcfWHNOSl5a4lVH/+vpqe3dbQ41KJ58AH7W/t70e2P2A+kzto4gmER7vcHjZYX12w2f6oPUH2jpzq5x5To93AACUXQdS4zVj/yKX1/s6vPVQsz6yLMtcKQAXxWE5dE+jG/R4837ysszdtvXV4ZX6x9qPlZ6bZSwTAAAAkCTLsvwlfSUpvycRbZXU3bbtRM+2AgAAQHmXlZejNad2ubQ2JrpZqfuM5PLoFi6ts2W7POgeAAAAAAAAF4cB7gAAlFMMbnfdwmcWavc3u93O6f5KdzXs2dBAIwD5CakRojuW3aGm/ZsazT174KwmdZqknXN3Gs1F6RXuH6K3O45UJb9gt7NOZp7VI6s+UFJWmoFmAAAAAIrD6NGjFRFx/qFx+/btU48ePdSkSRM9+eSTmjt3ruLi4rRnzx7t2rVLK1as0OTJk3X33XerevXqGjBggHbv/vv7UaGhoZo8ebLx38POnTv1wAMPnPc17733nho3buzyHmFhYZo+fbq8vb0LfM3YsWP11VdfubwHAAAAXFevYlVN6DJadYPNfZZ7KjNZ96941+UbK4GyICc9R3OGzJGdZ7ucEVA5QD0/6lnqbjQuKl4+XmpxWwvdu+Ve9Z/TX1XbV/V4h4RNCfpiwBca13ic1k9ar7zsPI93AACULbZt6+2tXyjPdv3hIIPrdlP1Cp5/wAmAP9xUs5NebX+nArx8jWWuOrlDD64cp9OZKcYyAQAAUL5ZluUn6UtJV+dzeod+Hd7uuRsPAQAAgN+sO71HGXnZLq2NiWpmuE3Rq1exqqoEVnJp7eL4zYbbAAAAAAAA4M8Y4A4AQDnD4Hb3bJ62WctfXe52TvPBzdXlyS4GGgE4H59AH/Wd3lfdXukmGZxfkJ2WrZl9Zmrxi4tl264PV0DZUa1CuN7qeI+CfALczjp87qQeW/OhzuVkGmgGAAAAwNOCgoI0fvz4ixqkt2PHDr3++uvq06ePOnTooAYNGqhRo0bq0qWLhg8frokTJyohISHftT4+PpoxY4YuueQSo/0zMzN166236ty5cwW+5rbbbtPw4cPd3qtTp0566aWXzvuaO+64Q0eOHHF7LwAAABReZECoxnV+UO0jzD2UOj03S0+smahvD682lgmUJvOfmK8zu8+4lXHjBzcquIr7DxYuayyHpUa9G2nE6hEa8vMQ1e5W2+MdEvck6usRX2ts3bFa9c4qZZ9z7UZyAAB+Pr5eG87sc3l91cDKGlyvm8FGAFx1aWRjvdf5AVX2q2gsc3fyUY1cPkYHUuONZQIAAKB8sizLV9JsSdflc3qXpG62bZ/0bCsAAADgV8sStrq0LsSngpqF1TJbxgMsy9Ll0S1cWrvu9B6l5mQYbgQAAAAAAIDfMcAdAIBygsHt7ju25pjm3TnP7Zyq7auq58SeFzXEC4D7LMvSZf+4TAO+GiDfYF+j2YueXaTZt87mxntIkupWrKrX24+Qv5f7f852Jx/VU3GTlJXHny0AAACgNOrbt6/+/e9/F1m+t7e3Jk+erGuvvdZ49ujRo7Vly5YCz9evX1/jx483tt8TTzxx3t9HYmKiBg4cqNzcXGN7AgAA4OJV8PHX6+1H6IZLOhjLzLOdenXzTH2063selItyZe+PexU3Ls6tjBZDWqhJ3yaGGpVNlmWpTvc6un3B7bpz1Z1q2MvcQyguVsrRFP348I96p+Y7WvziYmUkcZM0AODipeVk6L3t7l2n+FDTPvIzcP0KADMahFTXBzGjVTs42lhmQkaS7ls+VutO7zGWCQAAgPLFsixvSTMl3ZjP6d2SrrRtm6cGAQAAoFg4baeWJ2xzaW2nqCbydngZbuQZXaObu7Quz3ZqZcJ2w20AAAAAAADwOwa4AwBQxjG43YyUYyma0XuG8rLy3MoJqhKkAXMHyCfAx1AzABerYc+GGrFqhMLqhhnN3T57uz7u8rHOHjprNBelU/NKtfVS22Hytty/uGNj4j49t36qcp3u/bcHAAAAQPF45pln9Nxzz8nhMPtxXGhoqL777jsNGjTIaK4kff755/rwww8LPO/n56fPP/9cQUFBxva0LEtTpkxRdHTBQ0uWL1+uZ5991tieAAAAKBxvh5eebNFfIxpeZzQ3ds98vbTxM+U4eVgPyr6MxAx9NfwrtzJCaoTounfN/v+wrKvesboGzB2ge7fcqxa3tZDlZXl0/4wzGVr07CK9U+MdzX9yvtLi0zy6PwCgdPp49w9KzEp1ef1lUc3UKYoHvgAlTVRAmMZ1flBtKtc3lpmWm6nHVn+oH46uNZYJAACA8sGyLC9J0yX1zuf0XkndbNs+4dFSAAAAwJ/sOHvY5c9LLotqariN5zQNq6lKfsEurV0Sv9lwGwAAAAAAAPyOAe4AAJRRDG43JycjRzN7z1TaCfdupPXy89KAuQMUXNW1D80AuC+iSYTuWnOX6lxVx2huwqYETWw/UYeWHDKai9KpY2QjPdt6sCy5PwBiecI2/WfTDDltp4FmAAAAADzt+eef17fffquIiAgjeb169dKmTZt09dVXG8n7s/379+uuu+4672vefPNNtWrVyvjekZGR+vTTT8877P7VV1/V/Pnzje8NAACAi2NZlobWv1rPtBpk5CGmv/vp2Do9tvpDpeZkGMsEShrbtvXtvd+6fc1Br8m95B/ib6hV+RLZLFJ9pvbRg7sfVNuRbeXlZ+7vsYuRnZatFa+v0Du13tG3932rpANJHt0fAFB67E05pi8OLHN5vZ/DR6Oa9jZXCIBRwT4B+m/Hu9Sjejtjmbl2nl7e+Jkm7/5Jtm0bywUAAEDZZVmWQ9IUSbfkc3q/pCtt2z7m2VYAAADA/1qWsM2ldb4Ob7WPaGi4jec4LIe6Rjd3ae2qkzuVmZdtuBEAAAAAAAAkBrgDAFDmMLjdLNu2Ne/OeTq+9rjbWb0+7qVqHaoZaAXAHQGVAjT4+8Hq+FBHo7npp9I1pfsUrf1grdFclE5XVm2lx5rndz1z4f10bJ3GbpvLDXYAAABAKdWjRw8dOHBAb775pqpVK/x7Q97e3urbt6+WLFmiuXPnqkaNGn97TcOGDQv8CgwMvOAe2dnZ6t+/v1JSUgp8TZ8+fXT//fcXuv/F6t69u55++ukCz9u2rSFDhig+Pr7IOgAAAODCrq3eTm92vFtB3uaGSK8/s1f3LR+r+PREY5lASbJ1+lZt+9y1G4t/d+kjl6r2lbUNNSq/wuqE6cbxN2r0gdHq/Hhn+Qb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LDq/SwiOrdbYgyyMdGNxevgpzCzV32FxlnXLvv7e3v7dGLxqt4NrBhpoBgPssy1K3u7qpVqtamjdqnvLO5BnLXv3caiXvSNaIj0bIP8TfWC4qDi/LoYcvuk7Zhblam7zHrSynbD22Zbae85mkzpElzQ4DAAAAAAAw7qSkfEl+v3u9vpu551t/yM1ct1mWVUs/D29vWcLhbySNsm27sHxbVQy2befr5z8PFZ5lMWgU8CTLsjSx+WWKCQzXsz/NVZHt3kPA/+PbExuVnHdWT3a+UcE+AUYyUXEdjT+qVc+uciujxfAWan9De0ONgPLh5euliyZepHbj22nPoj2KfypepzafKtcOpzad0rxr5imyRaR6PdhLbce1lZePV7l2AABXOG2nXtg+X07ZLmdMaH6pYgLDDbYCANcE+wbqhW636pmf5uj7k5uNZBY6i/XPLR8oKfeMxjbpz2doAAAAAAAAQDWXV1ygDcn7XFrbO6a14TaVXw0ff3WOjNOa07tKvXZF4nbd1Woon9sCAAAAAABcIIenCwAA4KpDmYl65qe5GrXkCb2//zuPDG+3ZKl/7EWa0fcv+menGxjeXg5s29bimxfr5MaTbmcNmT5EdbrUMdAKAMxrPKCxJm2YpFqtaxnN3f/Vfk3vPl2p+1KN5qLi8HF464nOE9U2rJHbWYXOYk3Z8J52nTlioBkAAAAAAMAfs23blnSwhEPuPl2u2XleP+Bmrlssy4qUtERSSXcW/SBp+C9DzAEAF2BQ3c76d7fJCvI29xDbzakHdMfq15SYk2YsExVPfma+Ft6wUG7MXlWN6Bq66u2ruLEVlZbDy6FWI1tp0sZJGvfNODXo26DcO6TsSdFnN36m15q+pvWvr1dhbrV8jhGASuTr4xu148xhl9fXrxGlMY0vNtYHANzl6+WtRzqM1fimA43mTt3zpV7Y/qmKnGYeuAYAAAAAAACgctqQvE/5TteuA/eObmO4TdXQL6atS+uScs9oX/pxw20AAAAAAACqLga4AwAqFdu2tT55r/687m3dsPw5fXlsnQqcReXeg8HtnhP/TLx2fLzD7ZzeD/VW27GuXZACgPIS3iRcN6+5WXFD4ozmpuxJ0bSu03TgW4/Op0IZ8vfy1bNdb1HTmrXdzsotLtAD66fpUGaigWYAAAAAAAD/05YSXmvvZmaHEl47btt2ipu5LrMsK1zS95JKuljxo6Qhtm3nlW8rAKj8OkU205u97lZ0QJixzEOZibp11Svay02LVda3932rs4fOupUx5N0hqlGrhplCgAdZlqWmlzfVxOUTdWP8jWp25fmehVR20o+m6+u7vtYrDV/RyqdXKi+db4sBVDwZBdl6a/fnbmXc13aEfBzehhoBgBkOy6HJLQbrgbaj5GWZu+Xss6Nr9NDG95RTxPMqAQAAAAAAgOoqPsm1GRFhvkFqFVb+DyGvDHrFtJZDlktrlyduN9wGAAAAAACg6mKAOwCgUigoLtKXx9Zr4orn9ed1b2t98l6P9HAwuN2j9i7eq6UPL3U7J25InPo/2d9AIwAoe37Bfhq9cLT6PNLHaG5+er4+GvyR1ry4RrZtG81GxRDsE6AXut2quoGRbmdlFObo/rVTdSonzUAzAAAAAACAP7SuhNdaWZYV4kZmjws8T7mwLCtUPw9vv6iEwyskXWXbdm55dgKAqqRRcIym9rpHzUPqGstMy8/UXatf15qkXcYyUTHsXbxXW6aX9PyYC9dxUkc1v6q5oUZAxVG/V32N/WKsbt16q9qMaSPL4dpN367KPp2tpVOW6uX6L2vJlCVKO5gmZ7GzXDsAwPm8s/drpRdku7x+QO0O6hzJ9w8AKq4hDXromS43K8DLz1jm2tO7defq15WSl24sEwAAAAAAAEDlUGw7tdrFfTc9o1sbfeBkVRLqG6SLIpq4tHZF4jbDbQAAAAAAAKoui0F9wIWzLKumpAveLZqenq6aNWuWYSOg6juTn6XPjqzWwiOrlJaf6bEeAV5+uqp+N13TqI9qB0Z4rEd1lrQ9Se/1fE8FWQVu5US1idJNq2+SX7C5GwoAoLzs/GSnFk1cpKLcIqO57W9or6vevkre/t5Gc1ExnMpJ0x2rX1OygRvf6gZG6vWedyrCn59zAKAq2rt3r5zO0g2/cTgciouLK6NGAAB4XmV4f8zIyFBISKnmWofYtp1RVn0Ad1mW1VJSSXfpXGPb9nwX8qIkJUr6/bTJP9m2PdWFim755ZrzD5K6lHB4laRBtm1nlW8ruIu9BEDFlFOUr39snqW1p3cby3TI0n1tR2pYg57GMuE52aez9WabN5WTnONyRljjMN32023yDfI12AyomNIOpGnVc6u0dcZWOQs9M0jdy89LEc0iFBEXoYjm//97ZFykAsIDPNIJQPWz++xR3Rr/imy5dh9GoLefPrz4b4r0d+dZdQBQPvann9AD66cpNd/cZYUo/1D9u9tkNQqOMZYJAABKxn4CoPriGjYAAKhotqUd0h2rX3Np7TNdblav6NaGG1Ud8w+t1Ms7F7q0dna/B9UwONpwIwAAAAAAgHNV9uvXDHAHSoEL1kD5OZKVpE8Sluub4xtV4DQ7pLY0ovxDNapRX11Vv5uCfLjJz1NyUnI0rcs0nT181q2cgIgATdowSWGNwswUAwAPOLXllOYMnaOMY2Z/rqzTrY5GLxit4NrBRnNRMRzKTNSdq19XRqHrA0j+o0lwrF7reaeC+d4IAKqcyjCgFgCA8lYZ3h8r+wVroCSWZR2Q1OR3L8+zbftaF7LulPT7u35sSfVt2z7uYkWXWJYVLOlbST1KOLxG0uW2bXvuicZwGXsJgIqryFmsl3cu1GdHVhvNHdekvya3GCyH5TCai/Jj27bmDp+rvZ/tdTnDcli6ceWNqteznsFmQMWXcTxDa15co01vb1JhTqGn6/xXYGTg/w91/9Vg97AmYfL242HmAMwotp26Nf5l7U13/SOFO1sN1ejG/Qy2AoCylZR7Rn9dP00JmYnGMoO8/fVk5xvVKbKZsUwAAHAu9hMA1RfXsAEAQEXz5q7P9XHCj6Ve5+fw0ReXPyF/L98yaFU1nM49q5FLHndp7aS4K3RDs0sNNwIAAAAAADhXZb9+zQB3oBS4YA2ULdu2tTn1gOYmLNea07s82qVlSD2NbnKx+sW0k7fDy6NdqrvigmLNvmy2jiw/4laOw9uh8d+PV8OLG5opBgAelH06W5+M/ERH448azQ2KDdKYRWNUp2sdo7moGHadOaJ7105VbnG+21ltwxrpxe63sukFAKqYyjCgFgCA8lYZ3h8r+wVroCSWZT0m6R+/e7lQUhPbto+VIseStEtSi98d+tG27f5ulSwly7JqSPpGUu8SDq+TdBn/36y82EsAVGy2beujgz9q6p4vjOYOqN1BD7UfIz8vH6O5KB9b3t+ixTctdiuj95TeGvCvAYYaAZVPTkqO1r22TutfW6+8M3mernNelsNSaMPQcwa7R8RFKLh2sH7+sQEALszCw6v04o75Lq9vHByr6X3uZ18qgEonqzBXj2yaoU0p+41lelteerD9aA2q29lYJgAA+C32EwDVF9ewAQBARTP2x6d1LDu51Ot6R7fR011uKoNGVcvk+Je1+2zp7zlvHlJX0/vcXwaNAAAAAAAAfquyX79mgDtQClywBspGobNIS05u0dyE5TqQcdJjPSxZ6hPTRqMb91PbsEbcnFcB2LatL//0pTa9vcntrCvfulKdb2ODP4Cqo7igWF/d+ZU2T9tsNNfLz0tXT7ta7ce3N5qLimFTyn49sP4dFTqL3c7qXquFnupyk3wc3gaaAQAqgsowoBYAgPJWGd4fK/sFa6AklmXVlnRI0u+fHjfLtu0Jpci5SdL0Eg6NtG17wQVmHJbU4HcvH7Ftu2EpegRI+lLSJSUc3iDpUtu2L/g6NCoe9hIAlcOSk1v0r60fGfmM/D/ahTfSU51vUohvDWOZKHtnDp3R1HZTVZBV4HJGTIcY3bL2Fnn5MnwVyM/M16a3N2nNC2uUlZjl6Tql4lPD578D3cObh/93sHtE8wj5Bft5uh6ACuZMfqbGLntGWYW5Lme80fNOtQtvbLAVAJSfQmeRnts2T98c32A09+bmgzSh2aXs3QcAoAywnwCovriGDQAAKpIjWUm6ftmzLq39W/sxurJeV8ONqp4PDyzR1D1furT2k/6PKDYw3HAjAAAAAACA36rs16+ZsgYA8JiMgmx9dnSN5h+KV2q+594bA7x8NbheV41q1Fd1akR6rAfOtfGtjUaGt3e+vTPD2wFUOV6+Xrrq7asU3T5a39zzjexiMw/nKs4v1qIbFilpW5IGPjNQDi+HkVxUDJ0im+mxjjfo7xtnyCn3/sysTd6jJ7d+pEc7XC8viz8nAAAAAADAHNu2T1qW9Z6k23536AbLsr6wbXve/8qwLKu5pBdLOLRD0iL3W14Yy7L8fjlfScPbN0m6jOHtAFA+BtTuoEi/ED20cboy3Ri6+Wvb0g7pT6te1b+7TlbtGhFGMlG2nMVOLZqwyK3h7V5+Xho+ezjD24Ff+AX7qedfeqrrnV21dcZWrXpulc4eOuvpWhekMLtQiVsSlbgl8ZxjQbFBJQ52D2sUJoc310eB6uit3V+4Nbx9UN0uDG8HUKn5OLw1pf0YxQaE6f393xnLnb7vG53KTdMDbUfJ28HPWQAAAAAAAEBVE5+4w6V1DlnqGdXKcJuqqU9MW5cHuK9I3K7RjfsZbgQAAAAAAFC1MMAdAFDujmUla96hFfr6+AblFbt+Q6y7Iv1q6ppGfTSkfg8F+wZ6rAdKdmjpIX1999du5zS8pKEGvTzIQCMAqHgsy1LXO7qqVqtamjdqnnJTzQwbkaQ1/16j5B3JGvnxSPmH+hvLhef1jWmrB9uP1tM/zXE7a+nJrQr2CdSf24yUZVkG2gEAAAAAAPzX3yVdKyn8d6/PtizL27btj8+30LKsDpIWSwop4fDdtm07zdX8n+ZLuqyE15P18z9jCwO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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open('example_run/curvature_averaged_10_10_P_Upper.png')\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "23de26ea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3SfKiQbvM1udm+Pl6Isk75xwLbKqUck6Srx+y6SNJXjPncOiff0rz3TLv5cfn8cedpCb5UJpCoe9O8vAkZ9Za71Fr/bokvzHneFrVWt+UpgD0dE8upRh4CAAAAHYmeWZgJ/jdNPm00z17Bse6oGX9hTM4FnROKeXBSV6a0T+O/lCSR9Vav7TW+ofbGWCn1nq81vpHtdYnJrlXmoExAJgCtR5MSK1Hh2o91HkAAAA9Ii8N9E4p5aFJXpLRg7dfkuQJtdYH1Fov3GTw9la11o1a6xtqrc9L8llJvj3Jx7bTFsBOoT4BoN/UJjAhtQkdqk1I1CdA3xjAHQCgRSnl3kke2LL5v6WZUWuYtqIHgN4rpRxK8qokZ7TsciLJ19ZaPzq/qKbmSUnu3rLtSJrB2984rYPVWj9ca31BmsKPb0ly2bTa5mbObll/Ra316Fwjga35liT7h6z/jVrrxryDgY64LMkrknxfki9Pcota691rrU+vtf7vWutFtdarFxviSL8+ZN1KkufPOxAAAABgtuSZgR3kk0n+bMj6e5ZSvnBaBymlnJvk/CGb/ibNDyhgRyul3CHJq5PsHbHb7ye5b631L6d13Frr+2qtz0jysCTvnVa7ALuYWg+4uT7XeqjzAAAAOk1eGuijUsqd0uTF9ozY7WVJ7lNr/cNpHrvWek2t9efT/Ib4B5JcP832AfpAfQLAjqA2AW6uz7UJifoE6A0DuAMAtPvGlvVXpxm8+MKW7Y8aPLgG2FFKKSVN33ePEbu9oNZ60Xwimrpnjdj2Q7XWf5zFQWut19Vaf6XW+sFZtE+S5KyW9dfNMwjYilLKWpLnDdm0keQ35xwOdEat9Y9rrU+ptf5krfWvaq1XLDqmMb04ybEh67+5lHJw3sEAAAAAMyXPDOwkh1vWP3uKx3h2kjLGsWGn+Y0ktx6x/edrrU+ttc4kv11rfVOaQX5+bRbtA+wGaj1guJ7XeqjzAAAAuk5eGuiVwe+TfyvJLUbs9pO11mfUWq+dVRyD3/P+SJLPT/LmWR0HoKPUJwD0mNoEGK7ntQmJ+gToDQO4AwAMUUpZTfJ1LZtfXmu9PslvJ6lDti9luj9UBeiK/5HkCSO2v6TW+rPzCWW6SikrSc5v2Xx9kl+eXzTMQNtM4MO+x2HRvjrJbYesf1Ot9WPzDgaYjlrr5UleN2TTmUm+ds7hAAAAADMizwzsQH+S5NND1j+tlLJn0sYHP9L/+iGbrkvy+5O2D11XSrkgyVeM2OW3a63fPus4aq3X11r/U5LnJjk+6+MB7EBqPWCHUecBAAB0mbw00FPPTfKIEdt/udb6ffMKptb6oSRfmuRH0gx4CbCjqU8A2BHUJsAOpD4B+mNl0QEAAHTU45LcsmXbhUlSa/1IKeWiJA8fss8FSX5sJpFBh5RSDiS5W5rrZV+Sa5N8JskHZjWzLotRSnlskheO2OXiJN88l2Bm4+5JDrVse32t9ep5BgPsasMGKUmSV8w1Cnqr1nruomOg1SuSPHbI+q9P8v/mHAsAAAAwG/LMsAXyzP1Raz1eSnlpkueftunsJI/P5IOsPyzJZw9Z/6pa61XN+O6wM5VS9qYZEKLNu5P8pzmFkySptf56KeUv53lMgB1CrQcTUevRWeo8AACArpKXhi2Ql+6OwWfxwhG7vDXJzAcNPl2tdSPJD5RS/mDexwaYJ/UJADuG2gQmojah09QnQA8YwB0AYLjntKy/NMkbT/rvF2d4AcPdSykPq7W+ccg2kpRSPj/J+Um+KE0C/E5pBk/em+T6JFckuSTJu9K8539ea71yEbGerJTy2UkeneQhST43yR3TxL2aJuZ/TfKiWuvLx2z37EGb905yz0Hbt05yxqD9muZ9+VSSf0uTBHlrktfWWj8x6d81Zqx3T/INaf7R//lJhv1iupZS3pfkT5NcWGt915B27pbmbz7dNbXWmTwc7Ot5t2iDz+olSZZadrksyRNrrdfPL6qpu8uIbZfOKwiG22rfm+Tvk9x/SBPD1iXJ/lLKE7YYxmvHLczqU99+ssH7/fAkX5jkc5LcOc0gHAeSrCe5OsmVaa6N96aJ+/W11g/OOK4d34eXUm6Z5DFDNtUkr5xzODcqpdwuTYHv+WnO59unee830pwLH0kzkcdfJ/njWus1Cwl0oJRyzzTxPjjNtXfrJAfTnCeXpzlH/ibJS2qtH91G+0tJHprkq5LcL811claS/WmKOT+a5B+T/EWSVy76/aBT/jDJidz8ufzDSil3rrV+eAExAQAAANMlzzxjfX1WLM8sz9xzh3PzAdyTZnCPSQdwv2DEMRemy595n677Nn3LPc3Qtya5Q8u2muSbF1GHUWu9dN7H7LJZfYd33aL7mlLK/iSPOm31PVp2v+UYtR83+Eit9R1jB7aDzOvc7vJ36rSo9ZgOtR50lDoPAACgq+SlZ6yvz7XkpeWlO+y/JLlty7YTSb6p1np8jvGcotZ68TTb69M10yellNU032sPTHJemtzRWWne14NJjqV5X69L8sk034sfTvMb2L9L8t7BoP07Mp5p2ynncd/yJTOkPqHjdmttQrL4/kZ9wuzN4/ze4ffSSdQmTIvaBDpMfQL0Qa3VYrFYLBaLxXLSkuZBwIk0DyhOX/7XafseTHJNy76HpxDL61ra/tckZYbvwUWzOG6aB6QvSPL+lvZHLUfSDCD9eXP4O184ZN9HJ/mrLcZ6s9cPaa8k+ZIk/zvJO9IMiDvue1LTPLD66zSDZ8/62rhzkpcNjjlunH+c5C6ntXdBy76XTjnuTp13fVvSDNj8rhHv0YkkX77oOKfwdz59xN/4o4uOb0Tc546I+9wpHueFLce4aBttXbTVvjNj9r0j+pVpLJu+n+lh335S7AeSfFuSd07wHl2S5OeS3GeKce2qPnzwGQz7W94yxWOMcw3eM813f9u98bDl6iQ/meSMBcT75UneMEas64O/7w5bjGU1ybekSRRu9RhXJvn+JKuLPr9225LR35GHFxhX27/x/vui3zOLxWKxWCwWi8VisVgsky2RZx71PE+eeWux3uz1Q9rrXS4i8swzfX+n8HeeO+Lv+O6T9vvHIdtPJLndBMdu6ws/kmRpk8+7Jjl/N3zmXb/u07PcU1eWwef6ryP+7pcsOsYt/A2j+o9zp3icF7Yc46IZn69jf4enx/dgXetrNjm/prEcdm5v/dzeRjyd/E6d4TWo1mOyeNV6WE7+vM4d8bkcXlBM6jwsFovFYrFYLBZLp5bIS4969iAvPaXnfunYM+Mtvl93jrx0J5ckyxn9fO5XFx3jFP7GTl8z6WHu47R275bkF9IM3Lud9/WG5ao0g5s+LcmBPsczi/e66+fxIMaLWo75wiH7Ljxf0pUlPa9PSA/7sDHP1W3dx6XH9+Jd6282OcemsRx2fo93fo8Ry46/lz7t71WbMFm8ahMsJ39e5474XA4vMC71CRZLx5elAABwumenSQYOc+HJ/1GbWczaZqF7cinl0ISxHG5Zf5c0s61NXSnl3CQPa9l8Ya21bqPNpVLKt6WZFfin0swON649SZ6R5F2llJ8rpRzYRhtjK6WcU0p5ZZLXJHnEFNrbW0p5UZr34s1J/muaGfO2e29e0szO/MpSyt+XUu41aYxDD1LK05P8U5ok4LAZ5zfzVWk+u6dNNbAR+nzedcxvpZnlss1/q7W+bl7BLMgtFh3AbjPtvnfW+tq3J0kpZbmU8q1pYv+FJOdN0Ny5SZ6f5J9KKX89YVy7tQ9/XMv6id7PcZXG/0gzm/HT0n5vPMzBJN+T5D2llC+cQXg3U0rZX0o5nOQv034fO8xSmr/vvaWUr9jkGPdKUwjwS2lm9t6qM5L8WJI3l1JuM8br2Ln+qmX94+caBQAAADAL8szyzDeSZx4cRJ65TzmKzRwesm45ybMmaPPJaSYZPt2FtdaNCdodS1c/875e90MP3LPc05w8Ms33cpufmFcgnGrC7/DDLes7ew+2k/oaRptHLU5Xv1PnQK3HNqj1oEfUeQAAAF0jLy0vfSN56cFB5KW7/jz1sWl/PreR5KfnGMtU9fWa6YvB+/vDSd6dZsDSW07Y5KEkT0wzEOfL+x7PtOy087hv+ZI5UZ/QQVO4jzvcsr6z9+I7rb+h3azrE3bZvfTJ1CZsg9oEekZ9AnScAdwBAG7uG1rWv6XW+sEh61/csv+BJE+dMJZXppk9d5hnT9h2m6/P8AR1Tfvf2qqUcts0M9b9QpKzJglsYCnN4LBvKaWMShRMrJTyOUnemib5NS1nJfmujPfAZaselOTtpZRJz7tTlFK+L8lL0zz4mcSBJC8tpTxv8qhG6/N51yWllO9N8pQRu/x+rfWn5hXPjF02Ytv95hYFs+p7Z+2s9KxvT5JSyh2TvDHJ/01yzpSbv/92X7hb+/BSyv60J30ummMc+9Lcg/6vJGsTNPVZSV5fSjl/CmG1KqXcKs37M8m98RlJ/riUMrTfKaU8JsnbMnpCk808KMkbSynTvtbon9e3rH/g4HwGAAAA+kueWZ45iTzzDeSZk/QkR7FFL0lyYsj6SfqUC1rWH56gzbF0/DM/Kz277ofpW+5pjp4+Ytvf1FrfNbdIuNEUvsP7eA92VnZAX8No86jF6fh36syo9dgetR70jDoPAACga+Sl5aWTyEvfQF46Sfefp476zP+61vqhuUUyfWelZ9dMX5RSDqYZ9PUH0wywOm1jjbnWtXim7KzskPO4b/mSOVKf0DFTuo/r4734Wdkh/Q3tZl2fsAvvpZOoTdgutQn0kPoE6DgDuAMAnKSU8tAkd2/ZfGHL+tcn+WjLtudMEk+t9bq0z5j7lMEDlqkppZQ0D02HeWOt9ZIx27tHkn/IbGbovE+SN5VS7jqDtlNKuX2S1yb57Fm0P0N70xQJPGMajQ1mnfzxabR1Q5NJfr6U8tVTbPPUA/T4vOuSUsojk/zoiF3elQn7uI751IhtX7AbPvMu6HHfO2tT7duTpJRy/zR95RdPq81p2OV9+CMyvHjnWJK/mUcApZTVJK9I8oQpNbkvyasGydCpG8xm/adJvmAKza0k+e1Syn1OO8Zjkrw6zd8yqc9J8ttTaId+e3uSq4esL0kePedYAAAAgCmRZ5ZnvkGPcx3yzD0+7+ah1vrJJH82ZNPnlVIeNG57gx87DftB0d/M6wf6PvPp5yBP17fc07wMvjcfM2KXl80rFm4yje/wvt+DzcjM+xpGm8f96S7/TlXrMSa1HvSQOg8AAKAz5KXlpW8gL92Ql76Zzj1PLaUsJfmKEbvIi422K/Msg+fef5HkSxcdS9K9eHpoLudx3/Il86I+oXumdR/X93vxGdmV35tdMut/p+y2e+nTqE0Yk9oEekp9AnTcyqIDAADomLaCg6NJfm/YhlrrRinld5J8/5DNDy6l3KPW+r4JYjqc5BuHrD+U5ElJfmeCtk/3kCRtD5MOj9NQKeXuaWahu80mu1422O8dg/9/eZIzk9w2yZckeXjaZyK+Q5LXllIeUGu9Ypz4NrGU5HeT3HnItqvTPDC8OMknB/HuT3JumhntvmyC416TZlDsf0zykSRXDpZjad6Ts5N8fpIHJrnHJvH/ZinlvbXWi7cbTCnlYUl+dpPdPp1mdsRXJ/lQko+n+Uf/7ZLcLc2DtycmueVp8f1Wkp/abmxten7edcbgx/K/m2S5ZZcrkjyx1nrt3IKavX9OciRNYuZ0S0l+tpTy+FrrxnzD2lUW1ffOWqf69uTGwdtfn2a211Fqmvf8DWn6908muS7NbMRnpyn6/IIk90p7fzFOXLu9D297YP7OQSJ9Hn4hyWOHrL8iyeuSvDPNhBdXJDknzfX66CT3G9HmWUl+Kc1967T9eoYnzS5NM4jMvyT5RJrr5zZpJix4VJIDLe0dSPJrpZQvrrXWwSzfv5ubzwC9nuTv0lxHH09zP3RGkjulKSp8YIbPIp8kjymlPLnW+oqt/IHsPLXWE6WUt6Q5F0/36Ez333cAAADA/MgzyzMn8sxJ5JnTzxzFVv1WkscNWX9BkreO2dYFGf4s/bfGbGdbdsBn3qnrfoS+5Z7m5byMPveGTZbAbE3zO/xwengP1qIvfQ3tZn5/ugO+Uyel1mN8aj3oFXUeAABAx8hLy0sn8tJJ5KXTn+epD0jzXLLNX8wrkAXo1DXTM9+V5tnwKB9J8sYkH0zy72l+93o8zXPfM5LcKs1ArJ+f4f1ln+OZpz6dx33Ll8zLeVGf0CXTvo87nB7ei7foU3/DcDP9d8ouvZc+mdqE8alNoHfUJ0AP1FotFovFYrFYLLUmzUPIa9IMVnr68opNXvu5La+rSX5qCrF9sKXtv5zye/AbLce5JsnBMdo5M8n7RrwnNcmb0zxYKFv4XP5nmkRVW1uv3ubfe1FLex9tWffMJGubtHlOkvuP2H7b09p9Z5IfSpP8GPlenNbOfdI8hDox4n15R5Klbb43B9I82G5rez3Jz23lvBh8hj8/eM3JbXympe1LtxlzL867ri9pHnS/c5PP/jGLjnNGf/vrNjl/LtzKOT/nmM8dEe+5UzzOC1uOcdE22rqopa1Z9r0XTLO/GdJ+L/r2wTFun6YAZNS5fmWawszbbbHNg0menuQP0xR91iRXjBnXru/Dk7ytJdZfm/Jx2q7BYX3/h5I8NcnKJm0+aET8NyyPmnK8/zRk3d8l+ZJN2rtFkl/bJNanJlkdcozjae5pbr3JMR6cplCgrf1/S7K66HNupy8Z/R15eMGx/XRLXB9c9PtmsVgsFovFYrFYLBaLZfwl8syJPPMNizyzPHPvchQZ/Sz1u0/bdzXND6hO3+/yJHvGOGZJcsmQdq5Ncui0fS8YEd/5O/kzT3+u+4ta2nznkHULzz11YUnyn0b8XR9edHxj/B2j+o9zp3icF7Yc46Ipnq9T/Q5Pj+7B+tLXTPtccG5Pfn862OfM9OA7dZZL1HqMG69aD8tm5865Iz6DwwuMS52HxWKxWCwWi8ViWfgSeelEXvqGRV5aXro3z1OTfMuIGHv/bKVH18y5I9o9d4rvxwtbjnHRGG3cMk3tQFu8r0rygDHjuk2aSVBeleT6QTuv6WM803yv+3YeD45xUUu77xyybuH5ki4s2QH1CX3qw7Zwrk79Pi49uhfvWX8ztfPB+T2Vf6ecmV14L31a3GoTxotXbYJls3Pn3BGfweEFx6Y+wWLp8LIUAABu8NS0z4J24agX1lrfn+StLZufVUpZmSSwJC9uWf+IUsodJ2w7SVJK2Z/kKS2bX1FrvWaM5v5vmqKOYY4m+aZa60Nqra+ptdZRDdVar661/mCaGfU+3LLb40spTx4jvs181mn//btJPrfW+pJa67FRL6y1XlZrfccm7R9LM4vovWut96u1/nCt9eLN3ovTjvOuWuu3JvnCNA+1hrlfkq/dapun+e9J2s6tE0meVGv99q2cF4PP8PlJvmbw2huctc3Y2vT9SqAsGwABAABJREFUvOuKX0+T5Gjzg7XWP59TLPP2B5tsf1aS95RSnl9KOTSPgHaZWfe9s9b5vr2UUtLcU9x+xG4vTXLXWuuP11o/vpV2a63X1FpfVmt9fJqZcF+UZibkcezqPryUspZm5u9h/mlOYZx32n//epJ71lp/r9Z6Ysj+N6q1vjXJQ9PMft3muZOFdzP3Oe2/fyjJg2utfzPqRbXWy2utz02TbG7z7Um++7RjfDLJF9Zan19r/eQmx3hLkoelmel9mDskecyoNtjx2s6Nu5VSzp5rJAAAAMA0yDPLM99AnlmeuXc5inHUWo+nySWd7uwkjxujqfPT/PjhdK+stY6bY9qOPn3mfbju25x32n93Pfc0T/cfse1tc4uCk037O7xv92B97msYbdb3p336Tp06tR7botaDvlLnAQAAdIG8tLz0DeSl5aX79Dx1VF5s0b8HnZY+XDN98oQk+1u2Pb/W+sRa6z+M02Ct9RO11v9Xa31ikjsl+cEkH+tpPLPS9/P4vNP+u+v5knlSn9Ats7iP69u9eN/7G9rN8t8pu/VeOonahG1Sm0CfqU+ADjOAOwDATZ7Tsv5TSbYyWHHbg83bZvJ/GF+YZGPI+qU0AwpPwxOTnNGy7fBWGymlfEWaGRCHuTbJ+bXW3xwvtBuLRL4k7Q/AfqKUsjxuu1twYZJn1lqvm1J7n0kz0+U31FrfM2ljg6Tew5Nc0rLLd43bZinlFkmeP2KXZ9da/3Dcdmutr05ywbiv24odeN4tRCnlO5M8Y8Qur0ryY3MKZxH+X5rZKEe5U5KfS/KJUsofl1L+UynlXqUU/76ermn3vbPW+b594IIkXz5i+4uSfF2t9dPbbD+11v+otb4gyb22+hp9eJImabbWsu1d8wxk4Cdqrc+tzUAsW1JrPZKmWPHfW3b56lLKLacS3c3911rr/xwzQf/DSd7YsvnBOTWx9skkD9lCkerJ7X8mydNyavHmyZ691bbYkUYlxB84tygAAACAaZFnlmceRp755uSZb9KlHMW4Dresv2CMNtr2bWt7anr2mXf+uh9D33JPs3bPEdveO7coaDON7/De3INlZ/U1jDbV+9OefafOilqPyaj1oE/UeQAAAF0gLy0vPYy89M3JS9+kC89T2wbaTHZGXqzz10wPtU0e/5Ja6y9M2nit9VO11v9Va237Xu16PLOw087jvuVLZk19QndN6z6uN/fi2Xn9De2m9u+UXX4vfQO1CZNRm0DfqE+ADjPAHABAklLKPdL8A3mYl23xocHvppntcZiJkia11o8keX3L5mn9o7utnUuSvGErDZRSSpIfb9lckzyr1vp324itaaDWf0/ydUnWh2y+a5KnbrftFu9P8txa67AH1ttSaz1aa/34tNobtPlvaf/8HlhKGZVYGeY/JTnQsu0VtdaXjtnejWqtL0nyB9t9/TA78LxbiFLK+Ul+asQu/5ymeGXLDyX7ptZ6NMn3bnH3fUm+KsmvJHl3ks+UUv6qlPKTpZSnlFLuMqs4d4Gp972z1oe+vZSyN8kPj9jlV2qtL5jWNV5rvWqLcenDG/cdse19c4ui8bok/207L6zNLOnf17J5LclXbDeoEV5Va/2Zbb62Ldbk1ETmc2qtHxy38Vrr+9Je5PyVpZTVcdtkx3j/iG33m1sUAAAAwMTkmUe2I88sz3wyeeZTdSlHMZZa68VJ/nHIpkeXUm672etLKQfT/BDndB9J8teTRbfpsXv1mffkut+KvuWe5uGOI7b9y9yiYJipfIf35R4s2VF9DaNN9f60b9+pM6TWY/vUetA36jwAAICFkpce2Y68tLz0yeSlT9WF56mj8mJtg632Rk+umb75nJb1vzTXKG7StXimboedx33Ll8yD+oRumtp9XF/uxZMd19/Qbmrnt3vpG6lN2D61CfSR+gToMAO4AwA0RhUYXLiVBmqtlyf5k5bNX1lKufXYUZ3qcMv6zymltBVfbEkp5bOSfFnL5gvHGMz1MUnOa9n2m7XWV40b2+lqrW9O8ustm79p0vZP882DAZ07r9b6piR/3LL5MWM21zaT6vVJvnPMtob5ziRHptDODXbaeTd3pZQ7Jvn9JCstu1yV5Im11qvnF9ViDAp0XrSNl56R5BFJvifNe/mvpZRPllJeUUr5L6WUUQ/FOVVv+t5Zm3Lf/rS0J9o/kMXNIq0Pb7RN+nA8zay783I0yQUTDuT/8iRXtmx7wATtDnNdmsLLbam1viXJpZvs9ru11j/d7jGStBV+7knyeRO0S48Nvuc+3bL53DmGAgAAAExOnlmeeZje5DrkmXfUeTdPh4esW077OXCyr83wARXG6TO2y2eeqV/3m+lb7mnmBj8svP2IXf5jXrEw1DS/ww+3rO/SPdjMzLmvYXPTvj/1ndpQ67E9aj3oHXUeAABAB8hLy0sPIy99Knnp4Rb2PHWQF7vDiF3kxVrs8jxL28Tx755rFDfpWjy9sYDzuG/5kplTn9Bp076PO9yyvkv34jOzy783u2ia5/euvZc+jdqE7VGbQC+pT4BuM4A7ALDrlVJW0p6wfU+t9R/GaK5tZrPVEcfYqlemGUR5mElnvnxWht8b1rT/TcN8c8v665O8cMyYRvmZNLGd7vxSym2mdIy3DR7U9knbzO4P22oDpZTPTdI2i+irBzOQTqTW+tEkfzhpOyfZSefd3JVS9qbpX27VsktN8nW11lEz9O0035vkV6bQzq2SfE2Sn09ycSnlg6WU/1FKufMU2t6p+tj3ztrEffvAc0dse16t9box25sWfXjj3Jb1H5tz8vqlg9mit22QEGhLNN1/kraH+J1a66cmbOPPN9m+3VmVb/CGJNe2bDPD7e7Wdl997jyDAAAAALZPnjmJPPMwfcx1yDOfqo/n3by9JM2Pf063lT7lgpb1h7cbzBh85jeZVg5yM33LPc3D/iRrI7ZPmvti+6b9Hd6He7BZm1dfw2izuD/1ndo4t2W9Wo/R1HrQV+o8AACAhZCXTiIvPYy89M3JS3fveeqBNP1LG3mx0XZrnmVfy/r1uUZxk67F0zfzPI/7li+ZB/UJ3TSL+7g+3IvP2m793uyaaZ/fu/le+mTntqxXmzCa2gT6TH0CdJQB3AEAksemffbb3x6zrT9P+4PqbxizrVMMBlZ9ecvmp5ZS9kzQfNtD1zfWWi/ZSgOllINp3sthXj7pQ5iT1Vo/kORvhoWR9tk7x/X/ptTOPP1ty/rPH6ONUe/fuNfDKFNpaweed4vwy0keOGL7/6y1ts04uyPVWjdqrd+S5OuTXD7Fpu+W5H8luaSU8hIDuQ/Vx7531ibu20spt0/yRS2b31trfd3YUU2BPvwUbf3B1N6DLfrVKbVzccv6tiLJ7Wqb0Xoc7xmx7V211rdO0nitdT3J+1o2m/l4d2u7vt0fAAAAQH/IM8szD9PHXIc886n6eN7N1eBHLX82ZNO9Silf0Pa6UspdkzxkyKY311r/ZVrxtRzbZ36qaVz3W9G33NM8tP3A/wbXzyUKhpnqd3jX78HmZF59DaNN9dz2nXoKtR7bo9aDvlLnAQAALIq8tLz0MPLSNycv3b3nqXs32X5kWgcqpTyilPKEKSz7pxXTFOzWPEvbb7ofNNcobtK1ePpmnudx3/Il86A+oZumfh/X9XvxOdmt35tdM7Xz2730KdQmbI/aBPpMfQJ0lAHcAQCS57Ss30jyO+M0VGs9nuRlLZvvVUr5wnHaG+Jwy/qzkjxhOw2WUr4oyeeOebxhviztM7C+cpyYtujNLeu/eErt/8mU2pmnT7SsP7eUMmp23JO1JQyPJZnmAL9/OWhzUjvtvJurUsrzklwwYpc/TvLD84mme2qtv53k7kl+OsnVU2y6JHlGkveVUn64lOLf5jfpY987a9Po278izXk3zC+PH9LU6MNv0lZMe9kcY7gmyT9Mqa13t6w/a0rtJ02//M4ptPP+EdveOIX2k/bE2dlTap9++nTL+rb+AAAAAOgeeWZ55mH6mOuQZz5VH8+7RTjcsv6CEa+5IMNzVm1tTZPP/FTTuO4307fc07xsNlDF0blEwTCz+A4/3LL+rCz+Hmwe5tHXsLlpn9u+U2+i1mN8aj3oM3UeAADAoshLy0sPIy99KnnpRteep84zL/bzSV41heXWU4xpUrs1z3Jpy/ofLqWszDOQgUtb1i8qnr6Z13nct3zJvKhP6KZZ3ccdbll/VhZ/Lz4Pu/V7s2umeX7v9nvpk6lNGJ/aBPpOfQJ0lAcBAMCuVkq5dZKvbNn8V9ucce/FSZ7fsu05Sf5+G20mSWqtby6lfCjJ3YZsfnaS39tGs20zXl6b5BVjtPOQlvXrSV47VkRb0zYL3X2n0PYna63/NoV2tm2QtLtDklslOTPJniSraR+Ad2Rzaf4B/pEt7HvvlvXvGRToTEWt9Vgp5b1JzpuwqZ103s1VKeUhSX5mxC4fSPKsWmudU0idVGu9PMn3lFJ+JMkzk3xdkgdne9fi6fYm+cEkDyylPL3WetUU2uyzhfe9s7bAvn1UAeVrtnHsadGH3+RAy/p5zmD/1lrriSm11ZbwWy2l7Ku1TuPvettgVuFJXTFi21um0P6oY5w5pfbpp7broK0/AAAAADpEnvnG1w0jz7xA8sxbtpPOu0X50ySfSnOunexppZT/Wms95UeepZSS5OuHtHNdkt+fTYin2LGf+QKv+830Lfc0LxubbDcB/GLM5Du84/dgY+lwX8Noszi3d+x36jao9RifWg/6TJ0HAAAwd/LSN75uGHnpBZKX3rKddN5tx2a/Td41eTF5lrG8PskXDVn/0CR/VEp57pz7wK7FszAdP4/7li+ZF/UJ3TOz+7iO34uPpeP9De2mfX7v9nvpk6lNGJ/aBPpOfQJ0lAHcAYDd7uvTfk904XYarLW+o5Ty7gxPBD+tlPIdEz4seHGS/zVk/aNKKbettf7HVhsqpexJ8tSWza+otV4zRlz3a1l/yYwSEZ9sWX/XKbR98RTaGEsp5XZJvirJw5J8QZLPTvMQeVrOydYeKp/bsv7iqUVyapvnTdjGTjrv5qaUcvskL0/7OXZNkifWWq+cX1TdNhhc/ZeT/HIp5bZJHpXkEWkGc797JhvQ/bFJLiqlPKTWet3EwfbXxYsOYNo61Lef17L+07XWD00vnLHpw2/ShcTZR6fY1tUjtp2Z6fxd00qWj7rfnVaiuO0YZ0ypffqp7TrYU0pZnlJiGAAAAJgdeWZ55mEunkIbY+lQLuLclvUXTy2SU9s8b8I2dtJ5txC11uOllJcm+fbTNt0iyePS5KNP9ogkdxrS1CtrraPyCtOyYz7zDl33m+lb7mlejmyyfc9couB0F8+w7a7eg212rL70NYx28Qza3DHfqVOg1mN8aj3oM3UeAADAIshLy0sPc/EU2hhLh54Zn9uy/uKpRXJqm+dN2MZOOu+2Y7O/ccfmxTp0zfTR7yb5vgz/zfZjknyglPJ7ab5v3jSH53Jdi2duenYe9y1fMi/qE7rn4hm339V78c2O1af+hnYXT7m93X4vfTK1CeNTm0DfqU+AjjILFgCw231Dy/prkrxygnbbih/OSPLkCdq9oe1hs50uJ3nWmG09PsnZLdsOj9nW3VvWv2/Mdrbq8pb1txnMqDmJLT94nlQp5ZGllD9P82Dm15J8XZLPzXQfKCfJ3i3Espbm4fMw/z7dcKbW5k467+Zi8Dn/QZqZYoepSZ5da33v/KLql1rrf9RaL6y1XlBr/dw0/ejDk3xXkpckef82mr1fkt+YYph9NLe+d9a61LcP3KVl/dumFcg26cNvsr9l/TwTZ5+ZYluj4p5WUce04h1VhDLrYyhw2d1GTdpi9mMAAADoPnlmeeZh5JlvTp650eUcxSQOt6y/YIvrRrUxbb3/zLt03W9R33JP87LZpO5yBIsxy+/wrt6DDdXDvobRZnFu9/47dYrUeoxPrQd9ps4DAABYBHlpeelh5KVvTl660bXnqZs9K217xtpbXbpm+qrW+k9pfgPfZl+a+oPXJ/lEKeV3SynfUkq5dyll6uOodS2eeejpedy3fMm8qE/onlnfx3X1XnyonvY3tJv2+b3b76VPpjZhfGoT6Dv1CdBRvfyHPgDANJRSvijJ57Vs/oNa62YPpEf5nSRtM1U9Z4J2U2v9SJokzjDPHrO5tv0vSfKGrTYySCDdrmXzV5VS6rSXJG2DSy9l8lnkrpzw9ZsqpXzW4GHya5N8RWZ/b762hX1GvW9XTSuQabW5A8+7efnFJF80YvuP11onKeDadWqtV9ZaL6q1/p9a69fVWu+RZoD8pyV5ebb+4PvppZSnzyzQ7pt53ztrXezbB8Vpt2zZ/LHphrN1+vAtK3M81iy+64eZ1t80anblaZn1Meb5+dI9oz7/OrcoAAAAgLHJM4/cX555xrqYi4g886LPu4WptV6c5OIhmx5dSrlxQvFSyhlJnjRkvw8n+euZBHeSvn/mHb3ut6Jvuae5qLUeSTOwTpvbzCsWTjGz7/Au3oMN0+O+htGmem73/Tt1jtR6tFPrQZ+p8wAAAOZKXnrk/vLSM9bRZ8by0j17nlprvT67JC/W0Wumz/5zmr5+M+ckeWqSX0ryriSfKaW8tpTy30opDy7TG2y1a/HMRM/P477lS+ZCfUInzfQ+rov34sP0vL+h3dTOb/fSW6Y2oZ3aBPpOfQJ0lAHcAYDdbFQhwYsnabjW+vEkf9my+UtLKXeZpP20z0h5r1LKA7bSQGl+LPvols0X1lrH+cfaGZn+LJaTmHQGzJk+OCqlfHGaHzF/xSyPc/pht7DPqPetcwUM2Xnn3cyVUp6b5JtH7PKaJD8wp3B2tFrrJ2qtv1dr/do0Ccz/lvZZV0/2A6Wns6pPwbwe2s9Eh/v2QyP2u2J6oYxNH36qa1vW75tjDH17UD+PePv2ntAvo67vSYrpAQAAgNmTZ5ZnbiPPfHPyzJtbdI5iUoeHrFtO8nUn/ffXJtk/ZL9x+4zt6u1n3uHrfivkWdr924htbT8+ZLZmXa9wuGX9ou7BTm+7z30No0373O7td+qMqPUYn1oP+kydBwAAMG/y0vLSbeSlb05eenOLep46l7xYrfXetdaylSUT9qGn6/A101u11suSPDLJe8Z86RmD1/1okr9Ncnkp5XAp5ZGllOWdEs8s7IDzWG6gnfqEbpnHWAqHW9arT2DWpnl+u5c+ldqE8alNoO/UJ0BH7dZB4QCAXa6Usj/NDLbDfCTJRVM4zIVth0/yDRO2/cq0P7y6YIttfF2aH82ermb85OM8H+psxaQP4k5MJYohSin3SzNI9jmzOsaMzOLB0aRt7rTzbqZKKV+U5BdG7PIvSZ5Ra92YU0i7Rq316lrrjye5R5K/2GT3eyZ53Oyj6qSZ9b2z1vG+fVRfecW8ghhCH36qtofkXXufgOlpu76P1lrX5xoJAAAAsGXyzEnkmUeRZ745eebNLTpHMamXJDk+ZP2zT/r/FwzZvp0+Y7t6+Zn3+Lpncx8ese1z5xYFJ5t1vULX7sFupK/Z8aZ9bvfyO3WG1HrA7qLOAwAAmBt56STy0qPIS9+cvPTmFvU89SMjtt19blHMSI+vmc6rtf5Lki9K8jNJjm6zmUNpahdem+SfSynPLKVsa6y1rsUzTc7jHU99QrfMYyyFrt2L30h/s+NN8/x2L30qtQmw+6hPgI5aWXQAAAAL8uQ0M+4N8+4kjy9lKpMobmT4pDnPLqW8cLsDJddaryulvDzJNw7Z/PRSynfVWo9t0syzW9a/sdZ6yZghde2+spMzYJZSDiR5eZoE2ygfSPLGNDOH/kuSjyX5dJKrkxxJcqJtVtJSyiRFAaMShm3XyyTOnPD1zrstKqXcJskrkqy17HJdkifWWj8zv6h2n1rrp0opX5nk1Um+asSujx3sQw/0oG/v6syt+vBTXdOyXuIMdq6267ttJnQAAACgG+SZ5Znnrge5CHnmyXTyvNuqWuunSyl/muQJp226dynlgUmuTPIlQ1765sEPnOehd595D657JvOuJI9u2XbveQbCfHTwHiyJvoZt6d136oyp9YDdRZ0HAAAwT/LS8tJz14NnxvLSk1nUeffuJI9q2XaveQYybT24Znqv1npNkv9aSvnZJN+WZkDh222zubsn+Z0k/6WU8tRa66hBrXsRzzQ4j3cF9Qm7TAfvxZPobxibe+lTqU2A3Ud9AnRU125SAADm5Tkjtj12sMzSnZJ8eZoZcrfrcIY/ND0nyVcmeVXbC0sp90/7A/XD24jlyDZesxt9d5K7jth+YZKfqrW+ZzuNl1KGzWI6jitHbJtFAcOkbTrvtqCUsppm8PY7jNjtObXWd80ppF2t1rpeSnlmmoTRLVt2e8QcQ2JyXe/bR/WVZ03Y9iT04af6jzRFN6dr6yeA/rtVy/qPzzUKAAAAYFzyzPLMi9D1XIQ8M4dz8wHck+SCtJ8fh2cTylB9/My7ft0zmX8Yse0LSynLtdb1uUXDvBxOd+7BbqCvYVx9/E6dJbUesLuo8wAAAOZJXlpeehG6/sxYXrqf3jFi24NKKaVtENYe6Po1s2PUWj+S5HtKKd+f5CFpfoP98CQPSrJnzOa+MMk7SykPr7X+406IZ0LO451PfcLudDjduRe/gf6GcbiXPpXaBNh91CdARxnAHQDYdUopd03ysEXHkaaIYtsFDLXWN5dSPpTkbkM2X5ARD00H24e5Ns1Az+Nqm60vSd6U5P9so81JfHLOx9tUKWUtyX9p2Xw8ydfXWn93wsOcPcmLa63HSimXJ7nFkM2jBv/erttP+Hrn3db8TJoEcJsX1Vp/b17BkNRaryql/J8kP9ayy11LKQcHs7F3xaJnhe2kPvTtSa5KUjP8MzxrwrYnoQ8/1aVJHjpk/WfNOQ5gftqu70vnGQQAAACwdfLMN24fRp55RvqQi5Bnnljnzrtt+LMkn8rNfzDw9CTXDdn/uiQvn3VQJ+nVZ96H656JvWXEtjOT3D/J2+YUSx/siHqFjt2D6Wu6oY/ndq++U+fg0qj1gN1EnQcAADAX8tI3bh9GXnpG+vDMWF56Yos67/5uxLZbJrlPkn+aUyxT04drZkFmmvsYDDL9hsHyQ6WUPWkGTX/ISctWJl84O8mfllIeUGv9xE6JZ1zO411DfcLW9TF/O1TH7sX1N93Qt/PbvfSpLo3aBNht1CdARxnAHQDYjZ6TbjxcekIp5exa62cmaOPFSf7XkPWPKaXcqtb6qdM3lFJW0/xIdphXbGfA4Frr9aWUz2T4Q81ra62vHrfNHeiRaWYkHeYHp/BAORleeDCuS1vaOW8KbZ/ufpO82Hm3uVLKs5M8b8Qur0vyfXMKh1P9UdoHcE+awQ26NID7mYsOoKM637fXWo+XUj6Z5DZDNk9aSLZt+vCbubRl/W1LKUu11o15BgPMRVuB8IfnGgUAAAAwDnlmeeZF6HwuYuDSlnbOm0Lbp5Nn7phBPuolSb7jtE23yPDz4g9qrVfPPLCBHn7mfbnu2aZa64dLKe9Jcq+WXZ4YP5A+2U6qV+jEPdiAvmbxendu9/A7ddYubVmv1gN2JnUeAADAvMhLy0svQl+eGV/a0s55U2j7dPLSU1Br/ZdSygeSfE7LLo9PDwdwT3+umXmba+6j1no0zSCub0qSUspykgenOa+eltGDmt4hyQ8l+dadGs8WOI93AfUJY+ld/nYTnbgXH9DfLF6vzm/30jdzact6tQmwc6lPgI5aWnQAAADzVEpZSvL1i45jYE+SZ07YxoVJhj1IWU3yjJbXfGWaWamHOTxBLJe0rG97kLrbnN+y/rIkL5rSMe44hTbe3bL+3oMH7lMxaOvzptCU865FKeWBSX5lxC4fTvK0wQzfzFmt9T1pZgRu09ZPn+7oiG17th7RpiSthju/ZX3X+va2vvILptD2JPThN2l7L1aS3HaegQCzV0rZm/a+rq0/AAAAABZInjmJPPOinN+yvmu5CHlmDs9o32np02d+fsv6rl33TOaPR2x7WimlC4PzbEa9wvi6dA92fst6fY1zezN9+k6dNbUesEuo8wAAAOZFXjqJvPSinN+yvmvPjOWl+2lUXqxtkNiuO79lfdeumRvsitxHrXW91vrmWusLkpyb5GuT/OuIl3xTKeVWuyWeIc5vWd/V85jt63t9wq7ow2agS/fi57es1984v0dxL30TtQmwi6hPgG4zgDsAsNs8OqNnp52350zy4lrrR5K8vmXzBWOuvyTJGyYI5+KW9XcdFI7sdm2z0v5hrfXElI7xxVNo460t69eSfPkU2r/BIwdtTurilvW7+rwbJGhfmWRvyy7XJ3lirfWy+UXFEKPe/60WDF05YtuhMWLZTJe+O7ukL337O1vW37KUcrcptL9dF7es3419+MUjtt1jXkEAc3PPEdva+mwAAABgseSZ5ZkXpS+5CHnmXa7W+o8Zne+4wYfT3v/M0sUt67v4mfflumcyF47Ydpckj59XIBNQrzCmjt2D6WvaObdHu7hlfRe/U2ft4hHb1HrAzqLOAwAAmBd5aXnpRenLM2N56X4alRe7ZynlkXOLZHr6cs3cYNflPgaDp788yQPS/gxvNdPtO3oTz0DfzmO2r+/1CbuuD5uGjt2L62/aOb/bXdyyfrfdSydqE2C3UZ8AHbbbbkIAAEYVDHxhrbXMYkny6y3HvF8p5b4T/k2HW9afV0r5/JNXlFJumeSxLftfWGutE8Txdy3rb5HkvAna3Snu0LL+g1M8xpdMoY2/GrHtWVNo/wZfP6V2nHenKaWsJPm9jJ4l9rm1Vg9lFu/AiG3XbqWBWut1SdoSU20zHI9lcE49aBpt7UB96dvb+sok+YoptL9d+vCbvDvJkZZtn9+yHuivtuu6JvmHeQYCAAAAbJk8szzzovQlFyHPTNLer5xs0j5ju/r0mfflumcCtdZ/TvKmEbv8QNd/bKheYdsOt6yf9z1YH/uatr+3TPUgzu3N9Ok7ddbUesDuoc4DAACYF3lpeelF6cszY3npHqq1/lOSt4zY5QfmFcsU9eWaSbK7cx+11iuSPHvELnMd8Ldj8fTqPGb7+l6fsJv7sCk43LJefcLm1Ccsnnvpm6hNgN1FfQJ0WGf/4QQAMG2llHOSPK5l8wdrrW0zb0/DS0Zs+8YJ235lkqtatp2ewHlGmtl3T1eTvHjCOP407Q8hFzk4bFe0DdR82TQaL6XcIcmXTdpOrfV9Sd7XsvkJg+NMpJTyWZneTLzOu5v7qSQPH7H952qtvzOvYBiulHIwo2e9/bcxmruiZf29x2hjlAdm9GDzu1kv+vYkr0l7X/ktU2h/u/ThA7XW40n+sWWzxBnsPG3X9YcGhXgAAABAh8gzJ5FnXqRe5CLkmRl4SZLjI7ZPo8/Yrj595r247pmKnxyx7f5JvmlegUzgipb16hXadeUerI99Tdt3zN4pHydxbo/Sp+/UmVLrAbuKOg8AAGDm5KWTyEsvUi+eGctL99qLRmx7aCnlGXOLZDp6cc2c5oqW9Ts+91FrfVeSi1s232aOoSTpVDx9PI/Zvr7XJ1zRsn7H92ET6sq9eB/7G/UJi+deekBtAuw66hOgwwzgDgDsJl+XZK1l26gCg2l4Y5KPtmx7RimlLa5NDWZUfHnL5mcOZkO8wQUt+72x1nrJdmMYxPGxJH/bsvm/lFL2TdL+DnBty/qzptT+tyZZ2XSvrfntlvX7kvzMFNr/2UzpwbTz7lSDIoXvHLHLG5J895zCYbRHjNh2ea11nITTP7esv/8YbYyyyAG+u64XfXut9ZNpnx3980opCymC0IffTNtM0BJnsPPct2V9Wz8AAAAALJY8szzzIvUiFzEgz7zL1Vo/neaHU23eXGv9l3nFc7KefeZ9uu6ZQK31T5P8zYhdXlRK+Zx5xZMkpZSlUspTx3iJeoUxdeUeLP3sa9piPjjl4yTO7VY9+06dB7UesDuo8wAAAOZBXlpeepH69MxYXrqHaq2vTDJqIoqfL6XceV7xTEGfrpkb7Pbcxwdb1p891yhu0oV4+nges007oD5ht/dh29KVe/H0s79Rn7Bg7qVvRm0C7B7qE6DDDOAOAOwm3zBi20wLGGqtNcnLWjafk8ln4z7csv42GcwcWEq5T5L7jfn6cf1Sy/rbJnn+lI7RV59uWT/xrJeDpPS3TdrOSX41yXUt254yyUzmpZRnJvma7b6+hfMuSSnlvkl+fcQu/5bka2utJ+YUEqM9a8S2N4/Z1j+0rH9sKWXPmG2dopTyWUmeNkkbO1yf+vZR/cMvlVL2T/FY49CH3+QvWtbft5RyaK6RADNTSllN8kUtm9v6AQAAAGCx5JnlmRepT7kIeWaS5D+l6TOGLeMMCj0LffnM+3TdM7nvSLLesu1QkleVUs6ZRyCllINJXpXxfripXmF7Dresn+c9WB/7mk+1rD93Bsdybo/Wl+/UeVDrATucOg8AAGCO5KXlpRepT8+M5aX76zuSbLRsOydNXuzM+YUzkT5dMzfY7bmPtr/x+rlGcZMuxNPH85jJfEf6W5+w2/uwSRxuWa8+YTT1Cd3gXvomahNgF1CfAN1nAHcAYFcopTwg7bNLvbXW+qE5hDGqSOI5kzRca31zkra/4dmn/e/prk3yikmOf5KXj4jjf5ZSHj6l4/TRR1vWP3aSmR1LKUtJXpzkjO22cbpa62VJfn7ELi8upTxu3HZLKY/P9IplTrbrz7tSyi3SJKnaBmA+muRJtdZPzi+qfiml3KuU8seDBNOsj/XIJE8escsfjdlkW1LmzCRPGbOtGw36l8NJ1rbbxi7Qm749ye8nubRl2+ckedEUjzWOXd+Hn+SiDC+wWUnykPmGAszQFyQ5MGT9RiTOAAAAoHPkmU/539PJM89Hb3IR8swkSa31k7XWi1uWjy84vL585r257plcrfXtSX5yxC6fl+S1pZRbzzKOUsoDk7wzybj9tHqFbejIPVgf+5pLW9bvL6V8zpSP5dwerS/fqfNwUdR6wE6nzgMAAJg5eelT/vd08tLz0ZtnxvLS/VVrfUtG/4bxfmnyYnMZPHhCvblmTrJrcx+DGNsGJr50jqEk6VQ8fTyPmUDP6xN2bR82qY7ci/exv7m0Zb36hPlyL32Ti6I2AXYD9QnQcQZwBwB2i1EFAjOdff4GtdZ/SvLuls2PKqXcYcJDvLhl/VcPHpI/s2X7K2qt10x47CRJrfV4khe0bF5L8spSStssXxMppdyllPKkWbQ9Ja9vWX/LJN+znQZLKctJfi3Jl243qBF+NMm/tWxbSfNZ/sxgdtuRSikHSyk/m+SVg9fe4MqJo4zzbvDg/GVJ7jJit2+ptb5tTiH1VUnyVUkuLqW8YpD8m/5BSrlvkt8escvVaRIJ43hNkmMt235iK9dpix9L8mXbfO1u0Zu+vdZ6LMkPjtjlW0opPzWt45VStpTs3O19+MlqrdenSZ4Ns5sSiLDTnd+y/u211k/PMxAAAABgS+SZ5ZkXrTe5iAF55i3owXm3I/XoM+/bdc/kfjjJm0Zsv3+St5dSvnDaBy6lHCql/HSSv01yt200oV5h+xZ9D9bHvuY9aX6MNszTpnws5/YIPfpOnTm1HrArnN+yXp0HAAAwTfLS8tKL1rdnxvLSW9DR8+4Hk7xlxPYHJXlHKeWL5xTPdvXtmkl6kPsopTxocO3eaRrtneRpSe7Ysu3v+xLPDPTxPGZyfa1P6Hwf1nGLvhfvY3+jPqED3EvfRG0C7Brnt6xXnwAdYQB3AGDHK6XsTfL0ls3rSX5vjuG0FUssJblgwrYvzPAHgHuS/L8kt2153eEJj3uKWuur0wwmPcxZSd5USvnvgweiEymlLJVSHlFKeVWaWROfMWmbM/SXSWrLth8spTx1nMZKKWemOXe/cdLAhhk8SP+6NNfIMMtJviPJv5ZSfrmU8uhSyt1KKQcGBQt3K6U8ppTyq0kuSfLtOfXfH5eleeA7rXhfnd173v14kkeN2P5LtdbfmlcwO8BSkq9J8rZSyt+UUr6+lLJ/0kZL45lJ3pDkNiN2/T+11qvGaXvwkO2PWjbfIckrBt+FW1JKWS2l/FqS7x0njl2qb337byd57YhdXlBK+Z1Syi23e4xSyq1LKT+ZJjG51bhend3bh5+u7Vp+xFyjAGapreCh7foHAAAAFkSeWZ65I/qWi5BnbtGz827H6sln3qvrnskNJuN+YpJ/GbHbHZP8bSnlF0opo2oOtmTww+gXJPlAku9OsrqddtQrTGTR92C962tqrVcm+ceWzd9bSnnMFI/l3N5ET75T50WtB+xs6jwAAICZkpeWl+6IXj0zlpdu1/XzrtZ6NMnjMjovdqckby6l/GYp5c7TOvZJv3t88hSa69U1k/Qm97E/zbX7L4PfuT64lFImabCU8qVJfrll83VJ/qxH8Uxb785jJtfX+oSe9GFdtuh78d71N+oTusO99CnUJsDOpz4BOm5l810AAHrviUnObtn2ulrrJ+YYy0vTJG2HJWcuSDPr97bUWj9SSnl9hv9D7CtbXnZJmsGEp+0/J/n8JPcasm0lyY8k+eZSyi8m+a1a62VbbbiUcnaa2cIel+bvutXE0c5BrfVjpZTfTzLs4fFSkpeVUh6S5EdGnZOlGUj669K8h6f/7W9K8tAphZxa6xtKKd+R5BdG7HarNJ/3fx6j6Y0k35DknLZDj9HWyXbdeVdKeUpGzyr76SQXlVKeMJ+IhnpfrfV9Czz+JL54sPxyKeVPk/xJkr+qtf77VhsYJIAen+R5SR60ye7/nOQnthnrr6a9cOTRSd5YSnlerfVtbQ0MkhJPTvNddNfTNv9jkvtuM7Ydq499e5r+921Jbt+y/ZlJvqqU8hNJDtda/2OzBksp+5J8VZoZox+bZG+SK8eMa9f14S1+L8nPpZn1+WQPKKXcqdb6kQXEBJ1RSrlTkvtvcfdbj9h2pzHujz5da33zFvcdqZRyiyQPG7Kppr3YHQAAAFgceWZ55oXrYy5CnvkmfT3vdoFOf+Z9vO6ZXK31slLKlyd5XW6er7/BUpJvS/JNpZSXpbk/uKjWemIrxyil7EnzuT89TW3AGRMH3lCvsA2LvgfrcV/ziiT3G7J+f5I/K6W8I8lfJ/lgkquSHGlp5yO11ndscizn9uY6/Z06R2o9YIQ+13qo8wAAAOZEXlpeeuH6+MxYXvomfTvvaq2fHuTF/jLJ3Vp2K0mek+TZpZQ/SvMc9s9rrVeNc6xSyqEkX5HmN75PTJNPmFgfr5mBvuQ+VtL8zvWZST5aSnlFklcmeXuttS33c3qcd04zUPR/Tvv4ar9ea/1MD+OZih6fx0yox/UJfenDOmfR9+I97m/UJ3SHe+mG2gQYoc+1CYn6BOgLA7gDALvBc0Zsm+s/TgYPNt+c4Q/+7lZK+dJa6yQPMQ+nfSatYS6stW43Wdyq1npVKeUrkrw5Sdvs1ndO8tNJfqqU8s9J/jbNDIRXJPlMmgetZw6Wc9I8SPv8NDO29tUPpXngOWzmxpImifHcUspfJXlLko8muSbJLdLMWvqAJI9Msm/I669K8uwk/zrNgGutvzhIUE9rtvia5Pm11j8upVzQss/xbTW8O8+7H99k+y2T/P48Ahnhh5O8cMExTGp/kqcMlpRSPprk4jQzPX80yeVpZjZfSXIozfnzuWnOnfPSzD68mc8kefJWk/Wnq7W+rpTyB0m+pmWXL0jy96WUdyZ5TZIPD455Rpokwv3T9C9nDXntryX5ePqdlJmlXvXtgyTnVyd5fdoT3mem6V9+bHDOXJTmHPhUmnP9zDTFoXcfxH+fbGPG89Pi2o19+M3UWj9TSvmTJE8asvlrkvzMnEOCrnlEkt+aQjsPHyxb8YY0yfdpeEKGP5N/U6310ikdAwAAAJgeeeZ28szz1atcRCLPnJ1x3u1YPfnMe3fdM7la66WllIcm+fOMzs/vTTNwyDckubaU8rYk705yaZJPp8np1iQH05yfd0tzjj4oW6tfGDdu9QrbdziLvQfrY1/z60n+W5IDLdvvn639EO/FaQacauXc3lxPvlNnTq0HbKrPtR5PiDoPAABg9uSl28lLz1fvnhnLS/f3vBvkxR6S5E/TnDttltMMvP7EJOuD9+UdaZ7J/1uac/BImkEsDw6WWyW5x2C5e7b+u8fLk1w7xp/Rx2umj7mPOyb5zsFyopTyniT/cFJsl6c5Bw6kuS4+N01edNiAuyf7SJrfv/c9nkn17jxmOvpYn9DTPqxLDkd9wrjUJ3SEe+mG2gTYVJ9rExL1CdALBnAHAHa0wcxYj2jZfF2SV80xnBu8JO0zNz4nk81C+cok/zdbm4G0pnnQNxO11n8rpXxJmof29xmxa0nyeYNlR6u1vr+U8l/TzGjYZi3JYwbLVh1L8qRa6yWllElCHKrW+uOllA8n+ZU0g1Nv13VJvqnW+rLBf7edp0e3e4BdeN75N91i3DHTfRD/iSRfVWt974TtPC/NQ8BbtGwv2Xoi6AZ/keS/pEkuMUQf+/Za6zsGs6O/Ju3nS7K9c2aSuHZbH97mwgxPnD05EmfQd23FExfONQoAAABgU/LMI8kzz1kfcxGJPDPd1vXPvK/XPZOrtX68lPLgJL+Q5Bu38JIDaX4AdP6UQjieZqCMcalX2J6F3oP1sa+ptX6qlPK9SX5xqg23c25vouvfqXOk1gN2JnUeAADATMlLjyQvPWd9fGacyEv3Wa31E4P346fTPDffzHKSew+WqYaSpr95Qa3101t+UU+vmfQ797GSZvDZSQegvTLJE2utn9lh8Yytx+cxU9DT+oQ+92GLpj5hTOoTusW99I3UJsDOpT4BemBp0QEAAMzYN6T9nuePaq3XzDOYgZenfYbtJw9m+96WWut1g/a34o211ku2e6wtxvPvSR6c5DdneZw+qbX+fJokxrRck+Rraq1/NcU2b6bW+tI0s0f+fpoH7uP6kyT3Oal4IRk+e2eSXL2N9m/kvGOb1hd03DckeVCt9e2TNlRr/USSJ6YpFpqGP02TsDo2pfZ2rD727bXWtyV5YJJ/mNUxtkMfniT5syQfG7L+wYPiXKCHSim3SPLlQzZdleYeGwAAAOgWeeZ28swL0MdcRCLPTLd1/TPv63XP5Gqt19davynJVyf5l3kdNs1AQPeptf702C9Wr7AtXbgH62NfU2v9v0l+ZFbtn3Ys5/YWdP07dU7UesAOo84DAACYE3npdvLSC9DHZ8aJvHSf1VqP1lqfn+TLkrxr3odPkx87r9b6DeMM3n5jAz28ZuQ+8tEkD6+1vmPRgQwsPJ4+nsdMT9/qE/Rh29eFe/E+9jfqE7rFvXQStQmwI6lPgP4wgDsAsGOVZnrEC0bs8pI5hXKKWuvlaWb0G2Z/kqdNeIjDU95vIrXWawcP7R+R5J0zOsylaR56fs+M2p+qQTL5eWlm85zEPyb5klrrn0we1eZqrZfWWp+a5B5JfirJu0ftnuR9Sf53ks+vtX51rfVfT9vnrJbXfmIKsTrvGEut9Z+T3DXJdyf5myQbMz7kJWm+ox5ea/3ItBqttb4xyZcm+fAEzZxI8qNJHjdIxrEFfezbB8nTByf5vjRJyqk1nWZygu29eJf34bXW4xmegC7Z2iz2QDc9O8nakPW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ltlSAPaj50YT94ZvFnR/7W19fDriSw8Uw9x/cDHU3H4W6hxgRI0YNdRcROCNwRjEHcFZ2oe61D6i9x5+vzuHUwQrfeiUiIiIiIiIiIiIiuo9VxUmh22D06YfXOqM4KxVVG3BZt3c23tP41m2Aisc8QbP0bertHj7KuhD3COCb2uNNLsgSNOo/RRsirnzAsg1I29pMNBwRgRWBVaBA93y/HsjdhojGd6HuKQJM+qIiOC0szjctB4QkkhuFSXQtLhxDCYiIiIiIiIiIiIjGFiPgcd1w1r3XLujeg78OdRcM06f3cQ/zrX8G6KU2nqK+XrOR+clckgD36dUgUtXdKr97ocHLxicJcG+2AcxTfPzH4IwiC13/bkovSoffLuudPgtUWMVJMUxfc2kNrHLQQJ98jPA+wqlCn/CaEmJ37QC6QPjM6IO/92lDgN/lzU9EREQ0EKYIERER0V4TkRLAXwLwcwAvAJwAaAC83f74/wD4O/Eh1TAiol1y/Wb6Dl/eYuy/ZTh8FPnro0flK+Qm7/2+ruoGL8u8l+KTiMBIusI2Hbb7wts/93GGu6fBMPdPXR+Uuz50ch3o3oW5TyPUPbcGuTVY5K8BdNPGa+9Re49vNldw4qDCAwlERERERERERERD4FkBot3ijOK0cKh9wLL2k6+L5lbhjMNV7bFpd6+J+FAsGw8VoHTDhLhv2gARj6OsO54fAHxTtfgit7AjhbjHGLEOEVdtwIaNlnQgfhjI/cPzP8SI1kc0IbwPdp/SM+J9iHvVMhglgZlLV6cv7TCvMURERERERERERFPEujxN2XV/3seh7nKjTy9FqPuQuz1F0GrqgOR9lqImPMUA7zb0v0caH3YyNLv2Xd3Rmf5rUbUPKFiHeq+0ijak3SdWBWeFxXfrNt2dJGRV8LIcJk4yM4rcslc6lSYEaBRYlQd/nxJjRPvRa/j19em+24gxog0/BL8TERER0f0Y4E5ERER7RUTeAPgrAP4JAP84uqLv5975eysi/xcA/wsA/1aMkZUlItofuxzknuByHG9pv1z5ZZIAdwC4qGq8KItebksFYI8m9e1z4e3P+fsMd+8Hw9xvd31I7sZ/Pgl1H/vQjlFBqRalszgp8veF7C7UPeBttYIVe/CPJRERERERERERUR94VoBo910PS82MYtMGrJp29Pf676MiOM4trHpc1f0PJ6d+XNYeKjJY4+h6Gxo/c90RfQ/g67oLcTcD1oSaELH0AVdtAF/ciLprdmYF2fbbwxi7enITAlof0YaAZuQXHRHBSW5xUXlUDEfpjVNJEpoBALlRmJEGdBAREREREREREY2BdXnadV3f2XXPWZpQ96FGyMYYkwxG56DZp7Om/5pBgpt8tjZBTa3a4X23bAJOEwW4558JXj4kIoK5s7is04arz5zBpg1YNrv17YoAeFXaQYY+GBGUDG9PLsSI2kdYFRj9/Nfbx09TVCK6MxFOb7+WdD3vuzlAg4iIiGgsDHAnIiKinSciXwD4ZwH8FwH8Y/h8sfdjZwD+s9sfvxaR/2aM8X/b7yqJiEYmsjsh7nIdxNt/k/tt53vqWKMJDZy63u/vvGpwWuS9FLy6QyDjBxLT/nhuePtzb58B74/HMPf73RfqHmLcBruPR0TgTNccPgdwVuYIMaLxAbX3+M3qHFYd+GgSERERERERERE9DM8KEO0nEUHpDAqrWDceq8aP+v7+58ycgRHBRdVOep2H7LxqcSY2WYDvx5bb0PjCGgBAG4FvKo83uUnaLBtjxMpHXPmAigcLiO4lIjACGDXvO2pijPAhognbQHefJvjkc+s6KSwuqxbrdrdCAaZq5sxO3jYREREREREREdFUsC5P++6+UHeRbkjsY0LdhyotpMq75pDZp3MJhr4OEcb8GCGm6XGvdrgutmw8TnLTe49viN3z3E5rC4zKqKCwik3i/XJaWFRtjXaHjl28KIc5EyMA5ln/+53u1oYIH/2dIexAd232d1ycY+xuw300ESRue9t3aJsTERERTQID3ImIiGgf/Cvs2l8AAQAASURBVIsA/qs93dbvAvg3ReRfAfDPxxirnm6XiGh812/K70qQOyJijL0WcT6dHdtZ+RVO9KS3+7kWYsRV3eA4z3q5PSOCsDOPH01Z6vD2566B4e6fxzD3h7kOdb95WOn6UF3E+KHuKoLcGuTWYJG/BgBslpf4D0ZcExERERERERER0Q7hWQGiPSYimGUWhTNYNR7rpv8B4H3JreJMLd5tWg7knqh3mxZnpYNN0DR/m8uqhUKQ2a5Bto4R39YerxM0sjahC21ftgG729ZOND4RgTWCbvZCF8zd+IDzTTN4TXmRW6h4LCf82rcLjHSv0Sk4FdiBBoMQERERERERERGNjHV5OjjXoe6IgL8t1B3dz7fV/eJA/b8+9F8ZbEOacO5DkaIWbQaqbz9Um2iDbHZ4cECIwKYNKBMM/q19gFUOFL4pN4o2xGR7Eeh6fl/MHL5eNsnuo0/HmRls8PQ8M5MbLHEIYuyuB0YFRuST7z/az1xDQ+yG2FvV9//f7PB1l4iIiGhMDHAnIiKiQ/EWwNfbHwDwGsAf4O5J3/8cgJci8s/GGHfjnVUioocS2Z0Q9xgA6a9oFO8Ihd+ENRbxCNrjfV17t6mxyFwvTdhdEPFdMfREDzOF8PbPYbj74zDM/XFEBN2w8O7rE2PcHqzrXifGPmhmlE3eREREREREREREPeJZAaIdpyI4yixKa7BsWlTtNBvIrCpelA7nmxbN2MUG+kQE8G7T4KxwgzW5n1cNTsXBbQN+NyHiu8bjpXt+iHuMESvfBbdX3G9EyTijOC0dzjfN4HXkeWYgAlzVDHF/qpRBBTPHViwiIiIiIiIiIqIbWJenvXdbqDuA9z1816HuQ5UTfIIe8Zphrk+mgiShxlPrDm0TDA5ofBi9n/O5lk2aAPfGB0Sr7BO+QUQwcwaXVZv0epsbxXFucFFNu1ZbWMVJMUzdsrTmfQA4jcOHiIAIa/T9a44P4UHPBR8iBAECQZPgWk5ERER0KHhqkIiIiPbVFYB/HcC/C+D/HGP81cd/QESOAfynAfy3Afwjt9zGfwbA/xTAfz3hOomIxnFdrJt4kHuMHoJhpv6u/BpH9qj3221CwLr1vTXuGZWkk6GJpo7h7vdjmPvjdcMxANwR6h4iB2cQERERERERERHtEJ4VINpTRgXHuUPrApa1n2TzuIrgtLC4rD02Ew2aP2QhbkPcS5ekef4255sGp6V738S68hEherzMDMwT1lCHiKs2YOUDuMOIhmFVcVpkON80ScJQ7jNzBiqYfDDAFKl0gQUpGBE4wzMYRERERERERER00FiXJ9oK2wY0P3D3WYoe49qzg+6pbIIh4lPsCU2x76o92HfrNsCH2Psw+QigCREZ61IfUBGUzmDVpK2hHmcGmzZM9tpoVfCyHCY+MjOKPFHtlR4nohvuYESgj8wc6f7sNPczERER0a5ggDsRERHtm78F4H8O4H8dY1ze9wdjjBcA/lUR+RsA/rsA/vu3/LH/moj8KzHGf6//pRIRTYDIpEPcY4KW44gIuWXu+NqvMDfzJAXtd5uqtwB3FYGAYcL0NPeFn+8Dhrt/iGHuT3cz1N18FOoeYkSMLFMTERERERERERFNDM8KEB0Iq4qTQlH7gGXdTm74tYjgOLew6nFVM3B3anwE3m1anBV2kJpZxDbEvcjeN2tvQsRvqxYvM4NcP9/gGmLEykdc+YB6YvudaN85AWZGURjBV4XFLy82WA88QKSwBgLBedUOer+7rrQm2XV+5tLdNhERERERERER0cSxLk80ATFGpCgbTnGI+q5wCQLcnzIQPKWQaN9Ve7LvVo3HIu8/yq/2AZlhcPbHMqNoQ9pwdRHBy9LhN1f15HqJBcCr0kIHuE4YEZQMb58cHyP8RIcLEBEREe0zBrgTERHRvvi/AvjvxRj/ncf+xRhjAPA/EJEKwP/oow8LgH8RwF95/hKJiCbqujgzxSD32H9De0CA4tNCUUDAJqxRmlnv97luPWrvkRnTy+2pCPwUHy+atH0Pb/+cz33++x7wzjD357sOdb8+1HAd6N6FuTPUnYiIiIiIiIiIaCQ8K0B0oDKjcIXbBrn7ydVPZ87AiOCialk/mJg2RJxXLU7yYULcQ9yGuJfufZ2pjcBvK49MAo6sojQCxQ+1uzZEVCFiEwJWngPeiYZkBJgbxcwoso/CNv7gpMQvL9ZYtsMGSeRWcSoW5xu+pjxU6dKECKh0jwcREREREREREdGBYV2eaEJS1cZTBiHvO5sgwH2IYObHaBMNG68GrrulsmwCFnn/t9uGiBDj5PbDFJTWoA1tksEC16wKzgqL7zfTGrb9orRwAwT7C4B5xuHWRERERETXGOBORERE++Cvxxj/7Lk3EmP8H4vIfw7AH370oX9MRN7EGL9+7n0QEU2ayORC3LvzOX3fZuwqRrdY+VWSAHcAeLep8WZe9nJbKgDPQtBjHHp4+0Pc9zXat3B3hrn34zrQ/cZ/Pgh1D5FhGkRERERERERERInxrADRgRMR5NYgM4pNG7Bq0jZmPlZuFWfqcL5pWN+dmNpHXNYex/kwR+l9jF2Ie+E+qMnVMeL7xgNN9//X7bX70aJOtDsEwMwI5kZR3NPoblXwBycl/vhig4vGD7dAdINLTguLdwxx/6zSarIQi9IyoICIiIiIiIiIiA4O6/JEE5MiSLvxgfWHZ2CA+9Nvc1/OUjQhovYBWYJQ7doHFNb0fru7TkQwcwZXddq67TwzWLcB64kMGzjODGZumP0wz8zkrkVERERERGNKP0aJiIiIKLE+Cr83/Eu3/J4C+Ks93gcR0XSJdD/GvP8bYuy/aHZfnG4bW1Sh6v0+AeCqbuBDP8U5EYFhwYseiOHtz/eHbxa3/tgH12HuTYhofIAPsRt0QU8iIlARGBU4o8iMwqnA6jYkf+wFEhERERERERER7RGeFSCiayKC0hm8KDPMnJnU+/FWBWelg0vQsE3Ps2kDLqt2sPtrQ8RF1d5biwtgeDvRkEoVvMoMflJYvMzsveHt11QEv39c4GygARA3OaM4Kx34knK/VIEFAqAYKAyBiIiIiIiIiIhoKliXJ5oenyBIu96XFO2RpAhwT5AD/ixtT/3xN1UTCcTuy7JJ8/nUPrDn9w5WFYVN/2R5UVqYCdRoC6s4zoepV5bWwOrELkRERERERCMb/tQoERER0bT9H9HlWH789unvjLAWIqLxiAB9FfPuCxr/zH3E2H+x8r4AdwBY+RVyzRPcL3BeNXhR9nPbRgUIXfAy0V32JWR8qm77+v6try9HWEk/rsPcfQQEESrb0HEOjHgWEYEAH0yajzEixO41KUZ85pWJiIiIiIiIiIiIBsCzAkR7QEQwzyxKZ7CqPdZt/wPDn0JFcFpYXNYemz1rQN516zZAxWOeDdPgWvuAq7rFUWZZgyMaSa6CuVHMjHxQw30MFcFfPMphRfDNpul5hfezKjgrHN5tGjBL5VO56Qaup1BY8+Q9Q0RERERERERERABYlyfqRZskwJ117OdIEeA+pZpE2PZC9q3as323ajxOc9P7WYAQu75fO6E9MSW5UTQ+Js1bUBG8KB2+WQ1bG77JquBlOcxZk8wo8gGC8YmIiIiIdg0D3ImIiIhuiDFeichbAC8++tCXY6yHnotFCKJnuS7gPKdg9bki0Oc+HvtvqP/clOk6VGhDC6v9/5P5oqpxVmS9FceMCiSmOXBBRE/zcaj7rga63wxzV+nC3AUMc++LiMAIcP39aozdeJEYAc8vMRERERERERER0eB4VoBov6gIjvIuyH1Zt5No+hURHOcWVj2u6mkEy1Nn2XioAKUbJsR90waIeBxlPMZPNBQn6ELbrfYWbCAi+Ok8gxHgN+thG/WNCs5Kh3eblmeGPjJLeC0f6nWCiIiIiIiIiIhoX7EuT/R8YduD1reaU2OfzEiasPUptRimqkdt2vHPcvQpxG6IfIp6Ve0jmKd9OxHBzBlc1m3S+ymsYpEZXI5w5kcAvCrtIIMdjAhKbjYiIiIiolvx5DcRERHRp27rptmvd/8PRDH7CnU8Rwz12EuhHSViYewcagqoybvfjAExtmjbJXy7ShIwPjl9BLk/UYz9X37jAy7pK7/EsZ70ft8+RlzWDY7zrLfbVBE47QrgPCJBN30cJE7P9z5k+8bvyfWPOwrf+xDoHmJ3uAtgmHsqsv2aQgCr/LoSERERERERERGNhGcFiPaMUcFx4dD6gKumRTOBpvOZMzAiuKha1ncn5LL2UBHkAzWhrreh8TPHo/xEqZhtaPvcKFyiGqyI4Kt5DquCf7Ac9oyiiuC0sDjftGgY4g4AcCpwJs11PDcKw1o+ERERERERERFRH1iXJ3oGn6AmEGNEzVrDk6XoBTQik+rdTBHg3oaICRzh6N2ySRXgHlBandS+mBKjXYj7qkmb+3GSG2zaMHh99kVpk9VBbxIA88xwnxERERER3YGnvomIiIhuEJE5gNe3fOjPh14LPZ+qQ5H/BE31HdrmfOzl0A4RMbDZGaw7vqPAkMPYOWKMaJsLNNV3wCG0Vos8LsS9h+JMTBCQHx/wOazDGkdxAZX+i1nnVY1F5notXokInBH4EOFHCNqn6WF4+9PcDGiPsfs5IL7/9X3PLkGEorv0KQQqtwe73/bY7FKoO8PciYiIiIiIiIiIaB/xrADtu+sayKG+p2+N4tRkqH3Asm6TNBc/Rm4VZ+pwvmn2siF5V51XLc5kmKZXAFhuQ+ML23/zNtGhUgAzo5gZQTHQcxkAvigzWBH8+qoa7D6BGyHuVYuaLyhJwjCulQlvm4iIiIiIiIiI6FCwLk/0fClq3Qxvf54Ug4SnNlO2Df3P2aja/ZzdsWkDfIhJBgM3ISIzE9scE+JU4FSShquLCF6WFr9dNoMliywyk7QOetM8M9ADPFdGRERERPRQDHAnIiIi+tA/jq6P52O/HHohQxGRHEA+9joe6NFptCKCrHgFY0tUm2+ABGHQtF+MXSArXkEeENwtInDZCYydod58jeA3A6xwZNdFl6FCwmP/Bdj4wJLY2q8wt0e933/tA9atx8z1/09yowKJaQ5h0O5gePvdnhPQ/tnbBuCvf4H4/sYEEXoj1P361eVmOMrHj9muBLozzJ2IiIiIiIiIiIj2yEGdFdj3cwLUCTFi3Xi0IaLx4X0dRAUwIiicQW70oN7Xz4zCFQ7VNsh9zLKqVcFZ6XC+aZM2j9LjvNu0OCsd7EAd8ZdVC4Ugs8MFTRPtGwFQGsHMKEqV0V7XXhYORgS/utwM1qwPdPX5k9zisvbY7GnQxUMYQbLACqcy2HAPIiIiIiIiIiKiPXdQdXmAtXnqn0/Q280hsc+TorY8pQDlEGOSsxWV39+61rLxOM77zxCofUDGmtWdRASlM2irNmm91hnFaWHxdtMmvJdOYRUn+TDh7aU1sMr9RURERER0Hwa4ExEREX3ov3LL7zUA/ubQCxnQvwDgr4+9iNSMnaOc5ag2XyP49djLoSkSRZa/hnWPD+xWdcjLH6PefA3fXiVY3ASJ3B/i3lNxOCYYuhAeWHZb+RVmZp6ksfO8qpMEuANdYd5pF+LOYxOH59DD21MGtD95TQB8BPyNUHcA0BvB7rINdr++3uxioDvD3ImIiIiIiIiIiGjHHdpZgYM4J3CoYoxYNR7rxt9aG7l+T7+pWiwFmDmLwh5OkLuIoLBdeP2m7YLcx6qrqghOC4buTkkE8G7T4KxwMAOFuJ9XDU7FMRyY6JEK7ULbZ0YmE2Jxmlv8TAr88eVm0CEhIoLj3ELQYn2gryczZ5J9L5PqjBcREREREREREdEBOrS6PMDaPPUoxgifoABR73GQ9hBSBLgPVat+iDZR0ava48EByybgOMHojjZEhBgnUxudIhXBPDO4qvvPp7jpKDNYtyHpWR+rgpelHeQ8V2YUueWZFSIiIiKiz+FJQiIiIqItEfmPAvjP3/KhfzfGeD70eqh/ohZ5+SO09Ts09fdjL4cmRE2JvHgD0af/E0lEkJdfoK4c2vptj6ubsOuCz8dB7j0WgmLsv3AVHzhhPiBgEzYoTdn7GlZNi9p7ZCbN1GMRgTMCHyL8Az9f2n2HEN4+xYD2pwrAtmH7h2B3QYSiOyTwPtQdtz+2Uw51Z5g7ERERERERERER7RKeFaB9EmLEu03z4KbtEIGrukUbFEfZME1/UyEiKJ1BbhXrewLvh1jHcW5h1SdvIKWHCXEb4l66wRqfzzcNTksHq2yIJbqPE2BuFXOjMBN9zTrOLP7guMQfXawxdO7EIrdQ8Vg2h/V6IgCKRIECZnsGi4iIiIiIiIiIiJ6HdXmi5wsxTf9kvcdB2kNIEeA+ofz2JEMDfIjJguGnoA0RlQ/IEwxxr31AYdNkE+wLq4rcdI9BSi8Ki98s6ySDvQXAq9IOcmbFiKBkeDsRERER0YMwwJ2IiIgIgIgYAP8zdDmZH/uXBl4OJSQicPkZ1Jao179FjO3YS6JRCVz+Ei476e0Ws/wFVB3qzde93ebkiXwa4t6bgBhjr0EBEQ8vuK38MkmAOwCcVzVez9Lc9jWjAonpJpzTdOxLePs+BbQ/RQTggW7wwo1PVhG3ge4C3Qa7f/yYTzXQ/WaYu2w/D9l+HocUAkNERERERERERETTxLMCtE9CjDh/RHj7TZs2IMQWx/lhhbgD3WDdeWZROoOLTYNmpNrqzBlYFZxv2r2vie0CH4F3mxZnxTDPiYhtiHuRwUypG59oAqwAM9OFtrsdeX7MncEvTmb4o4v14K8r88xABAc1FGTmTLJrdcrbJiIiIiIiIiIiOhSsyxP1wyfo4w5xv4O0h5AiwH1Kg4zb0H8Idupg7SlY1h55mSbAPTfK+tVnFFbRhpB04LZRwYvC4tt1/3k1L0oLl2AAwMcE1/Vl7iciIiIioodggDsRERFR578D4D9+y+//WzHGf2foxVB6xhQo5j9BvfkWvr0aezk0AtUcWfEGarLeb9u6BUQsqvVvgEeEhe+0pIWZAKC/adDxEe3ubWxRhxqZ9r9PLqsGL4oiefO1isBpF+LOYxQ0tkMPaH+qAAAR8Pgh2F0QIcA20F3wj74+guCHUPQpBrpfP+5A3B58uP4cZBvszlB3IiIiIiIiIiIiGhzPCtBeiDHiYtM8q7G69gGbNqB0/dVmd4mK4KRwuKpbbNpx6vyZUZyVrgviZ+FsdG2IOK9anAw02CDEbYh76aCsmdGBU2xD260g1/SN6SmUVvGLkxJ/dL5GNXDwycwZqAAX1WGEuJcuzR5RAXK7m/uPiIiIiIiIiIhoYliXJ+rBU4a5f07NwvSzWJXea8lT6rEMMSY5uzDWmYwhrZqAsyL2/liG2A1zsBPZI1MlIpg5i8u6/3D1m0pncNQGXDX97elFZjAb6OzWPDM8n0JERERE9AgMcCciIqKDJyJ/FcBfv+VD5wD+GwMvhwYkYpCXX6CtS9TVt2Bs7OGw2Slc9iJpAdPYEsXsK1TrP0eMaYs7+y5GD5F+C00xPrzoufLLJAHuEcBFXeOsyHu/7Y+JCKz+UJil/fKHbxZjL+E9BrQP5/rrGbZB6DeD3VWAv/zqCHodig7g3/9mmgNrIrbXpfjD73TrZqg7ERERERERERERpcWzArRP1o1H00Oz9rJukRuFJh5CPVUigkXuYNXjKnET512syjbEve3lMaXnqX3EZe1xnA9z5N7H2IW4F441Mjo4AqA0grlRFAnCLsaQG8UvTkv80fkGaz9sEEVhDQSC82q/z62VVpOFCpTW7MU+JCIiIiIiIiIiGhPr8kT9ec5A97vUA9cv9o1NcLZiSmHKKYYGAEB1AIMDIoBVGzBPEMRdtQE24xDizzEqKK1inXhgwElhsfFNL9fowipO8mHC20trYHd0mDoRERER0VgY4E5EREQHTUT+EoC/AeC2dxb/+Rjjnw68JBqBzY6hpkC1+S1iqMdeDiUkYpGVX8CYYpD7U5OhmP0E1frPEUI1yH3uoxj7L4xFRAgeVsSuQoU2trDS/z+hzzc1TvNskGY/EYERQGKagxo0jqHD2xnQPn1dIDrgET94QP6Rl3OoALoNRldMN9T9tlB62Ya6qzDQnYiIiIiIiIiIiJ6PZwVon7Q+YNn4Xm4rAlg2LRa56+X2dlXpDIwKLjbNKPUvFcFpYXFV++SNpPR5mzZA0GIxUIh7GyIuqhbHuWVdjA5CoV1oe2lkUoEUfXGq+MVJiV9erHE18DU9t4pTsTjftHt7nqNMEHpxrUh420RERERERERERIeAdXmi/sQY4WOKAPd9rSAMI0WAu5lQnnKKXnQf4sH0uC9rnyTAvQkRMUaeJ3iAzCiaxHtORfCytPjtsnnW7VgBXpbDnBPJjCK3E7rYEBERERHtCAa4ExER0cESka8A/NsATm758L8cY/zXBl4Sjeg6aLupvkXbXIy9HErAuAWy/BVEhi0miBrksx+j3nwN3y4Hve+9EfsJG/jgJh/ZlrhqVzh2x72vw8eIq3rYAAQVgdOucH4YJe79lSK8nQHt+yvg02D0f/jlHAp0ge4i+A++W6Ke4OGX6/0IRPjtz4If1t39modNiIiIiIiIiIiI6GF4VoD2SYxd0HOfNm3APIt7GaL7GJlRnJUZzjdNkkb4zxERLHILox5Xdf81c3qcdRug4jHPhgnzrX3AVd3iKGOIO+2nTARzK5gZhTmAPW5U8POTEr+62OC8p6ErD5UZxWlh8W4PQ9xzI0mCUQCgtObgvxciIiIiIiIiIiJ6DtblifqVKme99hwo/hwuQZ1iSvWJFKHX1QHtucp3weEp6lm1j8jtdPbKVIkIZs7gskpbK82M4iQ3OK+eVgsWAK9mbpDnvxFByfB2IiIiIqInYYA7ERERHSQReQ3gbwL4nVs+/G8A+G8NuyKaAhFBVryG2hnqzddAPJwC0F4Tgyx/Devm4y1BFHn5JerqO7T1u9HWsatigudijAGQhzdWb8IaR/EImmAAwHlVDd50LSKw2gXITzCrmR7gueHt10HtPjKg/ZBFAP76FzHiP3I2A4D3oe5/elVh0wasfUh2yOuprkPdw/vAlC7UXUUgAoa6ExERERERERER0a14VoD2zbL2ScLFN63HzPGIsVHBaelwUTVoRiqWzJyBVcH5Hgbv7ppl46EClG6YEPdNGyDicZTxuUj7wQowN4qZ0SRhFlOnIvj94wK/vqrwfc/DVz7HGcVZ6fBu0+zVOaFZwuvxUNd6IiIiIiIiIiKifcS6PFH/fII3+NsQJ9czuGtSBHNPJcA9xpjkPErVHlZ+x7LxOMn7r/nXPiBnCPeD6DbEfZl40PYiM9i0AdUTLqwvSgtn0j+eAmCeGfZeExERERE9EU90ExER0cERkTN0hd+/dMuH/yaA/1KMMe27rzRp1s6hs5+i3vwWwW/GXg49gzEzZMVriE7jnz5Z/hIqDnX1zdhL2SkpLsnhka3tERFrv8bc9j8IoPIBm9ajHDgAQURgRRBiTDIFndJ5Tnh7jBFtBJoEBydofwQAiMBX8/yD31cAv1k32LQBG9/9mNJO6oYSxPeTCARxG+bOUHciIiIiIiIiIiLiWQHaP7UPWLdptuy68SgtG/aArpHzJHdY1j7Z1/tzsm3w7vmmYQP9yC5rDxUZrBF6vQ2N50AF2lUKYGYUcyvIlQECIoLfPcphRPDNphn0vq0KzoouxH0fXkusSrIQg9wozAEOGSAiIiIiIiIiIuoD6/JEafjYf+h17Q8rSDuFFAHuZiLnNFL1nT8l3HqXrZqAk/zzf+6xfIzwIbKm9UDOKLIQk173RAQvSoffXtV4zL0sMpN0cPVN88xMZkgEEREREdEu4mluIiIiOigicgzg/wDgH77lw/8nAP9MjLEadFE0SaoWefljtPVbNPXbsZdDjybI8lew2fHYC/mEzY4halGtfws8qvxywBIcLIhPiBxe+SVmZpYkpOC8qgcPcL+mInDaFdMPq+x9eHyMqPk40zMEAG9K98HvbdqA9TbM/frXzUSGQkQA3ayC20PdVRjoTkREREREREREdCh4VoD2TYgRl1W64NcQu2bt3A7TIDh1IoKj3MKo4KpuR1mDVcFZ6XBRtagPrKF5as6rFmdikwUHf2xZewgEhVXWtmgnCIDSCOZGUahw335ERPDTeQYrwJ+vhw1xN9vXknebNlnoxlBShhiUAwUkEBERERERERER7RvW5YnSSfG+PuvOzyNIE+A+lTzuFHvOhziZ3tOhtCGiakOSIfG1DyiVda2HKq2iDQEpt2B3tsfiu/XDzhYVVnGSD/MYltbAcug6EREREdGzMMCdiIiIDoaIHAH43wP4j93y4X8PwF+LMa6HXRVNmYjA5S+gpkS9+RoxjtOES4+jmiMr30A1G3spdzJ2hmL2Far1n3NfPUBMEeAeH19dCwiowgaFKXtfz7Jp0fgwWIP3x0QEVruA7wOrfe+cP3yzeNLf8zGi4oNLCRRWUXx0eMSHiI3fBrvfCHifwha8Gerutz8LumEWXbA7Q92JiIiIiIiIiIj2Dc8K0L6JMeKqapO/775uPAPcP1I6A6OCi00zytBkFcFJbnFVe6xbDowf07tNi7PSJWnIv81V3WLVALk1KKyyqZYmqdAutL00AmXN9V4igh/Pc1gV/P1lPeh9qwhOC4vzTbuzARlGgNyk2WNOZbTzW0RERERERERERLuMdXmidGKivt/as+b8HClqxVPqbUwR4F4d6J5bNj5ZgDsHwT+ciGDuLC7rtNkeM2ewbgNWzf373QrwsrSDPH6Z0SR7kIiIiIjo0DDAnYiIiA6CiMwB/NsA/hO3fPj/BuCfjjFeDbuqyfgfAvifjL2IB1oA+AdD36mxJYr5T1BvvoFvl0PfPT2Cy85gs7OdKDSpybYh7r9BCNXYy5m0GH3/t/nEdvqlXyUJcAeAd5sKr+dpbvshRARWBCHGJIV1ej6Gt9OuMCqYq8HcfRjqUt8Idd/4gFUbUE9gb0Z0z5MfXhoiVAABQ92JiIiIiIiIiIh2Hc8K3InnBHZY5cMgTa1NiGhDYFD0RzKjOCsznG+arr4wMBHBIrew6nFZ919Lp4eJAN5tGpwVDmagEPcQu8EK68bDqiC3isIaBmXTqDIVzI1gZhSGe/HR3pQZjAh+fTXs2bH3Ie5Vi9qPX7N/rNKZZDX80nF4DRERERERERER0WOxLn8v1ubp2VLVpXexRjAlKQLch6o9f06MMcm+qw50z62agNMi9l7bj+iC9l2iwcf7yKigsIpNm/bc1VlhUbU17tryAuDVzA1y3sOIoGR4OxERERFRLxjgTkRERHtPRGYA/ncA/pO3fPj/DuCvxhgvhl3VdMQYKwA7kR49ZnCmiEFefommPkdTfQc8MfyZ0hBxyMo3MKYYeymPImqRz36MevM1hwPcI8b+i2ART7vNNjaoQ41Ms55XBFzWDU6KDE7HnXatInDaFW15pZuOp4a3B4a304RkRpEZxcmNS2gbYjdNvvVYtV2oeztC2MnHuqfND6HugrgNc5cu3J3hA0RERERERERERJPHswJ34zmB3eVDxFXVDnZ/68ZjkbOJ72NGBaelw2XVoh4gTP82pTMwKjjftKzrjiTEbYh7OUxT7U1tiGhrj2XtkRlFYbs6HK+ZNAQrwNwoZkbhJhIiscteFg5GBL+63Ax6PRcRnOQWl7VPHlDQJwGSBQwYEWSG3/cQERERERERERE9Buvy92NtnvrQJugPbXxgnfmZUgS4T2V4d4o9BwDVDtWk+hQBrJuAedb/IOHaBzjWtx4lN9qduUjYe68ieFk6fL1qbv34i9IO8rgJgHmWbjg2EREREdGhYYA7ERER7TURKQH8mwD+U7d8+P8F4J+KMb4bck2021x2AmNKVJvfIoZ67OUQAOuO4fKXENnN4pKIIiu+QFN9h7Y5H3s50xR9/zf5jHDglV8mCXCPAC6qBid5BqtjD60QWAV8jGD29/ieGt4eGd5OO8CqYJEZLG4cPql9F+T+Ptjdh9GvRRFA3Ia6++3PAkCkO0zR/ZqHGIiIiIiIiIiIiKaCZwVoH8UYcVk1gzZRb9qAeRYn0yQ8JSqC49xiWXus2/5r2g+RGcVZ6XC+abb1Cxqaj8C7TYuzwo5WK6p9QO0DBEBuFYU1sCqsXVGvFNvQdivIdTfPaD2FAiiNojSKpQ9YJxracZpb/FwK/PJyM2htXLavZYIW6x0JzChdumEVpWN4ARERERERERER0WOwLk80DJ+geFCzwPxsKQYdm4mUKVIEW4cY0YzdJDqiZeOTBLg3ISJEnut5DBHBzBlcVm3SM1i5VRxnBhf1h2eKFpnBzPW/F24zzwz3BhERERFRjxjgTkRERHtLRAoA/waAf/KWD/+/AfyTMcbvh10V7QM1GYrZV9vA7YMd/D4+MciL1zB2PvZKnk1EkBWvIOrQVN+OvZzJibH/BsH4jJJaFSr46GGk/+LYVd1gkTk0AbA67rR0EYEVQYhpp0jT/Z4b3s5HjnZRZhSZUZzmP/zepg1YeY9V24W7b9ow+v6+DnUP74eCdKHuKgIRMNSdiIiIiIiIiIhoJDwrQPtq3fpRmlk3jccs43Hj24gIjnILo4Kruh1lDVYFZ6XDRdWyyX4kbYg4r1qc5OOFuANd7WqzraOpAIU1KKyBSRAcQIdBAMyMYGYUxQENBRAAxTa0/Xg7FCEz3VDvP11WeFunGdqxyCz+4KTEL8/XaAe+nC9yCxWPZTPOQJLHSBVmIAIU9nCGExARERERERERET0X6/JEw/ExRYD7bgx2nTKboA47laDlFD3l1Y4ME06l8l2vfop90/iA3A4TCL4vVASlM1glro8e5wYbH96f5ymM4CQf5rEqrcIe0HB2IiIiIqIhsKOCiIiI9pKI5AD+dQD/1C0f/v+iK/wyJZmeTESRFa+hpkS9+QbAYReNhmbsHFn+GqL7VUxy2QlULar1b4HRY2mnI6L/4ld45oGFlV9iYY97Ws0PfIxYtx4zZ9GGCCOAyrgBwCoCp13BnbtyN8QY0cTIVybaK4VVFFbxYhvqHmLExof3ge6r1qOaQChJxPZQ3HYpgrgNc2eoOxERERERERER0RB4VoD2VRsClokCYz9n3XqUzvD97XuUrgvJvtg0o9RUVQQnucVV7bE+8KbnsdQ+4rL2OM6ncTQ/RGDVeKwaD6uCwhrkVifT8E/TVmoX2l4aOag9k28/72L7Y+7MJwEKf2Gew0iNb6s0Qzvm1uAXJzP83Yv14ENb5pmBCHA10vcbD1EkvI6Vlt/rEBERERERERERPRTr8kTDCTEiRcmAw8Gfb18D3GOMSYYGTKH3c2zL2uOk6P9MQe0jJnJUYadkRtGGkPR6KCJ4WTr85qqGCvBy5gapSWZGGOpPRERERJQA/+lFREREe0dEMgD/GwD/9C0f/jsA/okY49fDror2lXVHUJOj3nyN4DdjL+cACLLiFazrPzh7Koydo5h9hWr954hxug1xg4r9N5g/N9p67deYmyOo9D95+LKuMXPdP9f99nCF1XEDf0UEVn9YDw3jD98snvT32tj9INpnKoKZNZjdOETQDcHowtyvg92Hbmr/WATQnVe6PdR97CEdRERERERERERE+4RnBWhfxRhxsUkTFPsQIQK1DwfT2GcEmKmiMIL8RsN1iMA6BGx8xPqW+kNmFGdlhvNNk6SZ+XNEBIvcwqrH5YTDd/fZpg0QtFhMrDO6DRFXdYurGsiNIreKzChrVPSBLry8CzA3B7Q3nAhmVlFuP+9M5dbg9msigq9mGawKfrNukqypsIp/6KTE371YDx5kMXMGKsBFNc3XkZlL971ImfC2iYiIiIiIiIiI9gnr8kTD8gl642KMqNko/CwKwCQJcO/9Jh+tTbQ3Kg6jx7LxOM77HyrsY4QPMcme3HelNWhDmzQ7wargrLRwOswAdSOC8kDOeBERERERDW1aJ8SJiIiInklELIC/AeCv3fLhvwvgr8QYfzPsqmjfqTrk5Y/R1G/R1m/HXs7eUlMgK95A1Y29lOTU5MhnP+lC3EM99nImIUYPkf6KRRHPq6RFxC7E3c57WtEPah9Qtf59AEIE0IQIq+NOTxcRWBGEGJMV4OkHTw1v9zGiGSEQgmgKjAiOnMHRjcbqJkSsWr8Ndu/C3Qfucf/EzVB3v/1Z0F3jRbpDcERERERERERERPQ4PCtA+2xZ+1ECwW9aN/4gAtyPreLY6q11WRVgoQYL29Ufvm88qo/qpkYFp6XDZdWi9uM0H5fOwKjgfNM+sypOT7FuA1Q85tk0ny+VD6h8gAAorEFuFVaFYe4HygowN4q50TsDy/eREWBmFKUxcNvP+3PB7TeJCL4sMxgR/NkqzbmuzCh+cTLDL8/XWA38elJYA4HgvBpveMxtMiPJ9mlpzahnsoiIiIiIiIiIiHYF6/JEw0vRy8vw9uezJk14+xTqtin2XODQAACAj0DlIwrb/+Nc+4BSp3lOYcpEBDNncFWnHXA9H2iYtACYZ/0PCSAiIiIiog4D3ImIiGhvSJfs+68C+Gdu+fAv0U3t/vNBF0UHQ0SQ5S9gTIl681vEmPZN+kPjshew2elBFQtULYrZV6jWv0Xwq7GXM7oYQ68B7t1txmftqbVfYWZmSfblZd18EoDQhggjaaayP4aKwGm3HpbL03hqeHuI8ZOQCOqfXP+QLoR7nOgNeiingpPM4iT74fcq/0OY+7oNWLdh9McxohvAgAg0Yy+GiIiIiIiIiIhox/CsAO2z2ges2/HPHzQhovUB1ujYS0nCCfAqs++DfD/751XwRW5x2Xq8/eiNfRXBcW6xrP1oj11mFC9Kh3ebdvTw/0O0bDxUujD9qYoA1m23R40ICqvIrRn9PAKlZwDMbBfanh3Q460ASqOYWYWTH4YW5EYwsw8Lbv/Y68LBiOBPl1XPq+04FfzBSYlfXqxx1Q5bRM6t4lTspIaBzBJeU6d8vSYiIiIiIiIiIpoK1uWJxpGi3lv7qbz7v7tSDJ2dyrDZFHuu4p57b1l7FLb/sze1DyisHlQWR1+sKgobsRm4JpvCPOPgaiIiIiKilBjgTkRERHtBRBTA/wrAf+GWD/8K3dTuPxt2VXSIjC1RzH+KevM1fMvQ7ecSdciLL6AmH3spoxBR5OWXaKpv0TYXYy9nVN1QBNfvbSJC8PQilIdHFSoUpuhxVZ1126INAVY/LML6GBF8hFUZtYgqIrC6XQ/r5r16anh7ZHh7b24GtAsAhbz/dff7Hz73YuyGGUQAIQIB3fOCj8Z05UaRG8VZ3r01GmPE5n2oe/dj43f/sAUREREREREREdEh4FkB2mchRlxWzdjLeG/deiz2MMC9VMHLJzYwLqyBE8G3tf9gWKyI4Ci3sCq4rNv+FvsIRgVnpcVF1bIBfwSXtYeKIE/QeN03HyOWjcey8XBGUFiD3LCxe984AU6cQTnyeZMhCYDCKGZGkX/0eT8nuP2mF7mFEeDXV1WSMwJGBT8/KfGryw3O62GHgmRGcVpYnFft6GeDrAqyRN+D5EY5vIKIiIiIiIiIiOgzWJcnGkeMET7Bm/Q1++aeLUWAu5lADS/GiDbBnqv2IBi7L+s2IMTYe8h2BNCGCGfG30e7KDeKxsckAwyGUlr9JJeCiIiIiIj6xQB3IiIi2nnSddb8LwH8l2/58J+gK/z+g2FXRYdMxCAvf4SmPkdTfQdGuD6NdSdw+Qt0ZzvGp1AEDF8gFBFkxWuIuu1+OlCx/6997OG5ufLLJAHuAHBVNzgtPh1eEAE0IcLquBPVRQRWBD7sdkFySp4b3s5H4WEeG9D+2duTH0ZBdGcbuv+7Dnb/ONSdj9P0iAhKa1Bag5fb3wsxYv0+0N1j1QbUY3elExERERERERER0Qd4VoD23dUEAlNv2rQB86z/JtIxnVjFiTPPuo3CKL7MBd/ULZqPHq/CGRgVnG+aUWpEKoKT3OKq9lizIXpw51WLM7FwOzT4oPERjW9xBSCzisIauAMK/N5XL5zB0Q4ME+hLroKZURRGP3nN6iu4/aaTzOL3F4JfXW2SvG6rCH5/UeDXVxW+r4YdCuKM4rRweLdpRv2eZPbM1+r7lAlvm4iIiIiIiIiIaB+wLk80nut+xL5xAPjzuQQB7lOYN5uqV7zi0ID3IoBVE3CU9V+jqn3YqfMJUyIimDmDy3rYemxfMpNuIDYREREREf2AAe5ERES0D/5lAP/cLb+/AvAvAPixiPz4mfdRxRj/H8+8DTowLjuBMQWqzW8RQzP2cnaGiEFWvIGxs7GX8l6uOQot0cYWS381yhpcdgoRh3rzWxxi/G+MPsFtRuCZBe0mNmhCA6eun0XdcFU3OM6zOwMQ2hBhBDAjV+WNCjR26zm8ndmf54S31zGOMF5iuvoOaH/yOrbB7noj1B3oHrOAH4LdYwQfvwlSEcydwdwZAN01vg0R622Y+/WPlgMsiIiIiIiIiIiIxsSzArS3Nq2fZAPrpvGYZbt/9FgAvMoMyp6aF60Kvsgtvq09Nh8l3DqjOCsznG+aUQZjiwgWuYVVj8u6/7o73e/dpsVZaWF1txplI4CqDajaABWgsAa51Z37PA6dAHidGRQH0KjtRDCzitIozC1nAlIEt9905Ax+tijwq8sN2gSXehHB7x7lsCL4ejPsOUSrgrPC4d2mHeV1zEj3+KXgVBhiQURERERERERE9HmsyxONJMX78iFGtFOaJL+jUtSc7uolH1KKvRFi5NCAjywbnyTAvQkRIcZJ7KVdZLQLcV81u3W2xoigtGaw3nkiIiIiokO2+10URERERMBfu+P3ZwD+tZ7u4+8B+N2ebosGotDRw4TV5ChmP0FdfQvfXI68mukzdo6seA2R/otOTyEQzMz8fTi3E4eFHOOqvcIYccnWzaH6FTbrPwcSBJpPWYz9f737egxXfokTPe3ltm6KAJZ1g0We3flnfIwIPsKqjFpYExFY3a5n7AvvgWkjcGhnF6YS0P5UIgKDrsn4Otg9xm4AQgC6QPdtyPuBPbSTZ1WwyCwWNy7Lte+C3NdtwKr1WPnA6yAREREREREREdFweFaA9pIPEVdVO/YybrVuPUq3201/VoDXmYXruaFaRfA6M3jXBly2H9aijQpOS4fLqkU9UjB/6QyMCs43LWtQA4rYhrgXbvTh7E8VIrBqPFaNh1V5H+bOpu9pEwBvcoN8j0P3rQClMZgZvTMkI3Vw+00za/Cz4xJ/fLlBk6BoLCL4yTyDVcF/uKp7v/37GBWclRbvNu3goS4pv+8o3TTOKBIREREREREREU0c6/JEI/EJ3pNnkHY/UtSeplBPTlEH4p77VO0jGh+SDBpufEBuWQN7KqcCp5Kk3puCAJhnu32Oi4iIiIholzDAnYiIiIj21pE9RiURdRy2YeljIoq8eIPWlKg33wIjBH9PnyIrXsG6xdgLec9JhtKUUPmw+GXEYGEXWPor+BFC1LuhAF+hWv8GMYy7tweV4GsdempL34QNjqKHSTB44LJucJS5ewtnEd1UbKvjTlgXEVgR+BDh424UJqfiD9887drXhohmD7/Wux7Q/hQisv1csc10/yHY/X2oO7oBCfwuYloyo8iM4jTv/j/GiMrH92HuqzZg0/b1ikNERERERERERERE+y7GiMuqmez7yiF2w013tdmzUMGrzCSrq4oIzpyBE8H3zYc1bhXBcW6xbDzWzTgD2zOjeFE6vNu0rOkOKETg3abBWel2PvS8DRFXdYuruttPhe1qZftYw911r7L9DG9XAKVRzKzCidy594YMbr+pMIqfLwr88eUGVaIQ9x/NMhgB/v5y2HNjKoLTwuJ80w4WWCAASptmHxsRZAlCMYiIiIiIiIiIiIiI+pImTJvdic+lkqaXe+yKa4wxyZ6rWu652yybgNMEtapdPtMzBSKC0hm0VTvZs1s3zROegSIiIiIiok8xwJ2IiIiI9pYIMLNz2OCw8suxlwPrFlBToF7/FiFUYy9nMtQUyIo3UHVjLwUAIBCUZoZMszv/jIriyCyw8ks0sRlwddv7V/c+xD349eD3P4YY+y/Qxh4b0ld+hYXtfwCBjxHr1mPmPv/P9zZEGBl/yrpRgcZuPbtQnBzbU8PbfYyodzRU4RAD2p9KRGCAT0LdgS7IPdwIdt/N3bB/RASFFRRW8WL7eyFGbLZh7t0Pj8rzESMiIiIiIiIiIiKiT61bP1go6lOtGr+TzZ7HVnFihwmaPrIKK8C3tf9gOK+I4CizsCK4rNvk67iNUcFZaXFRtahZrxiMj8C7TYuzwu5NPbT2AbUPEAC5VRTbsOx9+fx22QtnUO5RMLWgC0afGUX+mT1WbIPbxzw7kxnFz49L/PHlButEIShvygxGBL++GvYM4nWI+0XVDlLzLl261+3SGV6viIiIiIiIiIiIiGiyYoxJhnKzRvx8LkEdSmX8vtpUQ+A3HBpwq2XjcZL3X6/y2/7+oQdd7xMVwcwZLBs/9lLuVVqF3cOh7kREREREU8YAdyIiIiLae5lmMGKw8kv4OO4b5aoO+ewrNPX3aOt3o65lClz+EtadjF5UvGbFYmbmUPl8sUJEMDNzbMIa1QiB/CKKvPwR6uob+OZy8PsfWpIA9x7jjtd+hSMzhzxg7zzWVV0/KMAd6ArkwcfRm6JFBFa36+F5jjs9Nbw9xIhqwl9YBrSndf31MwDMR8HuEZ+Guk93pxwOlS4kYHYjzKYb0NGFuV8Hu089kIeIiIiIiIiIiIiI0mpDwLKedvMf0DV6Nj7A7Ug4sAB4mRnMBl5vYRRf5oJv6hbNRyWAwnXhwuebZpRajorgJLdYNh6rhs3SQ2lDxHnV4iTfnxB3oKtHbtqATRtgRN6HuY89fP5QnVjFkd2N6/PnFCoojaIwCv3Mc2YKwe03WRX87LjAn1xucNWmuc6+LByMCn51sRn0tUREcJxbXNYem0Sf27WZSzMwRgAUe/I8ISIiIiIiIiIiIqL9lKrNrGaY9rOlCMY2E6gftwk2XYiRQwPuEGJXZy8T1MNqH2A1TZ3tUDijyENENdFrZmYE2Y6c2yIiIiIi2icMcCciIqKdF2P83bHXQNNnxODILLAJG1RhM+paRARZ/hLGlKg3XyOOHCo/BtEMefEGavKxl/JeqSUyzR/VJCsiKM0MCoN1WCVc3d33nxdv0KhDU30/+P0PKsHzpM8A94iIddhgZma93ea1ygfU3iMzDyuWRgBNiLCKzzawpiQisCLwISabvL7LnhreHicQ3s6A9mkSke7xuBHqDnR7JgDbQPe4DXinsRkRHDmDoxsHbJrQBbm/i8MPhiEiIiIiIiIiItpFPCtA+yTGiItNO/YyHmzd+p0IcDcCvM4sspECfa0Kvsgtvqs91h/V+JxRnJUZzqsGfoT6n4jgKLMw4nG5A4MD9kXtI95tWpwUdtR6fio+Rqwaj1Xj4VRQWIPMfj58m/pxZBQniQKvh5JtQ9tLow8KqphacPtNRgS/tyjw66sKF02a6+xpZvHzkxK/vFgnC3K5zXWIu0qbbBBIkfDaUTrDsy1EREREREREREQPxLo80ThShGl3vb693+zBSRHgPoV6aoo9x/D2+y2bNAHujQ+IVlkPe6bCKtoQJnfdNCIoLeudRERERERjYIA7ERERER2MLmy7hBWLlV/2Gt78FMbOUMx+imrzNYIfPvx7LNadwOUvJ1MUMDCY2TmMPL3AlZscKoqlv+pxZQ/nsjOIONSbr4GR93UqMUHccIz93ubKL5MEuAPAZd3gZfm4PdqGCCMYvUnVqEBimuL9rnpuePtQX0lFFwbOgPbdJiIw6AJKroPdY+z2UQAQIxC2we58lo7LqeIkUxSzbOylEBEREREREREREdHAlrXfqaHIVRsQsjiJJuK75Cp4lZkHBQCnpNKt410bcNl+WKM2KjgrHC6qFrUfZwRv6brg4/NNy1rRQJoQ8f26wVFmUdjpD0J4qiZENHUL1EBuFIU1cEZYb06kVMGZ2839ZAWYGYPS6IMDLwqjmFkd/UzM56gI/uJRjj9d1nhbpxnUsnAGvzgp8UfnG7QDfy9xlFkIPJYJAupnCYcRpAjCICIiIiIiIiIiIiLqk++5/xkAqpFq0vsmRYD72DWvGGOSHnDuufut2wAfYu+Pf0RXr8/MtGupUycimDmLy0R13qcQAPOM4e1ERERERGPZzVO6RERERETP4NRhYY9hZfx5RqIGxexHcPnLsZeSnIhFXv4YWfFqMkWBXAsc2cWzwtuvdftqAcE4n5t1R8hnPwZ6+FymKMb+G/36jsH20aPym15v89qqadGGxxeqfYxoQ0AcOexBReBUMPG+2clrYopRBrcz6EItMu0apI0IVNhMvy9k+3ja7XMzV0VpFKUKChVkIrDCNw6JiIiIiIiIiIiIiIZQ+4B12389NLV1grDWviys4s0EwtuviQjOnMGLWwJjRQTHuR01TDYzihelm8zX6xCECFxULb5fN1g3HmGHBjg8ReUDzqsG369rXNVPO/9Ad8tU8HLHmrQVwJFVvM4t3uQOC2ceFHZRGMWL3GKRmdGDLB5KRPAX5hle5+nOKs6swS9OS2QjfE3mmcEi6/c1LDOSJPwEAAqrkx5AQ0REREREREREREQEIEmYdu33uyY5FJeghjF22csnqldXLevCn7NK9DWqGZ7fC6OC0k6n03qeGdY6iYiIiIhGNJ1/HRARERERDUhFMTdHKLQceykAAJedopj9BCJu7KUkYewRivlPYOw0vt4KxZE5QmnKXpsXjVgs7DEMxmmsNqZAMfsKovu3j2KCafEpQs2XftX7bV67qpsn/b0Qu0nZYzd8iwis6sE3/f/hm8WT/l4bItqBHkJB1+C9S83d1I/3we7b8P7CKGbbYPdcBU4EhsHuRERERERERERERES9CTHisnpaHXBsm9aPPkj6YwLgpTM4c9MMMj6yii8y80mtRURwlFksEob7fo5RwVlpkZnpfd32WRsiLmuPb1cNzjctqnb8Ae0phdgNf3i7bvB2XWPVtKOfZdh1VoDXO9KkLQBmRvEys/iycDhxFpnqg67XuxjcfpOI4MezDF+W6c50FUbxi5MSxQjX8dIZHOf9nZebJRxqMnPjvdYSERERERERERERET1EjBEJ8tsZ6NyTFENox671pRgYEGPk0IAHWNY+ye22E8gV2BeZ0WTDpx+jtAqr7O4mIiIiIhoTvyMnIiIiooMlIihMgSO7gE7gW2M1+Tbk/GnhvtOkyIo3yMsvIDJOqPnHMsmwsMewiULOVRRHdgE7Uhi/qkMx+wpqphGW35vYfwEyov/CYxNrNCFNwMKyaZ5VLG1DhE9xauORjMokCpVjeGp4u48R9YCF8pzh7fQREYERgVNBvg12L1VQqCBTgRXAoGu4JyIiIiIiIiIiIiKih7uq2iSN1zelasgMEagm1OBtBHiTG8zt+Oc/7pMbxZe5hbulsFJYg9PCYaxSnYrgJLeYuWl/DfdV5QPOqxbfrRtcVi3aMJ3nVwptiFjWHt+tapxvmkkOhZg6A+BNZmEmXt8vVPAis/hR4XCWWRTmYaHtwDa4vdjd4PabRARflhl+MsuS3UdmFL84mWE2wmthYQ1OehhEYlWQmTTrz4xOah+VKhM4tUpEREREREREREREU+MT1cwYpv18RtB7761g/L7MFAHulU/Rxb9/mhCTDVfg0IZ+iAhmzoz6PM1MuhoqERERERE9HL8rJyIiIqKDZ8ViYY/hJF1z1EOJKPLyDbLiDcYvtz2PmhLF/KewbhqB9ALBzMwxs/PkwcQigrmZI9M86f3cff8GefmjPRsGAMTYb6EwIE3hceVXSW43RGDVtM+6DR8j2hBGb3rWbRD0hHoik3tqeHuIEdWAwfu5CnTizd00DSLdXrEiyFSRG0W5DXbPVZBJF+zONx+JiIiIiIiIiIiIiG63aX3yAPQQI96um2SDntdN/4O4nyJXwZe5Ra67UZmwKvgityhvKZg6ozgrstECZkUER1kXlkzjCBFYtwHfr1t8v26wanyyQQxTUfuAy6rFd6sal1WDxo9/rmHqBMDr3MJO9OBFpoJTZ/CjwuFl7lA+IrQdAMqbwe17dobhVeHwO/N0Z8qsCv7guMTCDX8dz63irLDPOvWYcojIbISvyV2cAK8ygx8VFsVEn8dERERERERERERENI4UYdqNDwzT7oFL8J6+iiTPPbhPjDFRgDvDwx9q2aQLcGfdvR+6DXEfgxFBac2o1wkiIiIiIursRqcCEREREVFiIoK5nWNmZmMvBQBg3QLF/KfQkQLAn0fg8pcoZj+Gqh17MQB+COnPdLiQfhHBzMxQajnYfX58/3n5Bi57Mcr9pxBj/83/KQqPm7CGT7BWALis62evOcRuIvfYDd4iAqu6d422t3lqeHscOLw9UzmIx4PSEun2kdUu2L3YhroXKsiUoe5ERERERERERERERADgQ8RV9bzhzQ9xVXv4CKzbNPXLNkQ0IzfdHhnFmx0M+FURvMoMju2nlROjgrPCITPjVVVKZ54dwkvP14aIq9rj21WDd5sGm9bvdYN1BLBpA95tGny/rrGs22QDKHbd68wgm1josxXBsTX4Ind4nTvMrXn0APnr4PajHbyuP8ZZbvF7R3mya6xRwc+OC5yOMIzDGcVZafGU7akC5Ile+6wK3IivqzcJgFeZfX++4k1ucZIwuJ6IiIiIiIiIiIiIdkuK+ljtWXPrQ4rhymOX/FJtjaplgPtDrZo05wBCBPweny8YmjM6+DkeATDPGN5ORERERDQV00hTJCIiIiKaiExzGLFY+WWyAOaHUnXIZ1+hqb5D25yPupaHEs2QF19AzXBB6Z9TaolM89EKE7kpoKJY+uUo9+/yM4ha1JtvgF2fjx77L9ZGREiCdsi1X+HIPi20+z5tiNi0HqV7/j/n2xBhpGvaHJNRgUQkmdA+Bc8Nbx/qq+JEYFnApUREuiutdv8DoNvjEd0hkIC4/ZmIiIiIiIiIiIiIaP/FGHFZNcnrQFUbsNk2xK6bgLmLSerm69aPFoh65hQLO3w4bV9EBKfOwIngu8Z/8rHj3GLVeKyacc6vOKN4UTqcV+3e1nN3Se0jau8h8MitorDDNwcPKUS83/9WBYU1yK0+OhB8H710BsVEHnsFMLOKmVFYkSe/zpRWMTuwx/c4s/j9heBXVxukuMSqCH5vUeDvXVX4boChMTdZVZwVDu82zaNCP2YuXfjAzE3n+4VTp3Afndfa5e9niIiIiIiIiIiIiKhfKQKX65EHs++LFAHuY/d4tyFB736MHBrwCCEC6zYkqWfVPsJOo7S8F0qraENIUt+9zTx7/NB0OiwxxvfDGnyIiIiIsTsvoNKd/eIeIiIiIuoPA9yJiIiIiD5ixODILLAJa1ShGnUtIoKseAVjZ6g2XwMjh8rfx2ancNmLyUxwNWIwM3MYGb+5yWmGI1Es2ysMF8f8A+sWELGoNr9JEoI+lJhg/6d6PFZ+hbk5SvJ8+LPlOX52+rKX2/IxIoYI84wm2j6oCJx2Ie4syW8PJ8Q4WJi1EcBO49JNB+R9qLsAwKeh7n4b6s5rAhERERERERERERHtm3Xr0STu5PMh4uJGWGsEsGkDygTNnlUbEFyEDthUrABeZwb5RAKMn2tuFVaBbyr/QY1QRDDPLIwKLgcO371mVHBWWJxXLRusJ+L6+bxpA1SAwioKa5KEBUxFGyKu6hZXNZAbRenMaIMjxnZqFfORO+wFQGm60PZMn3fe5BCD2286cgY/WxT41eUGbYJLrIjgd45yGBF8vWn6v4N7GBWcFg7vNu2DgmYE3X5IshaRyQy8KFUY1k5EREREREREREREdwrbINa+1RzY3QuboN4wdp3MJ9gbtWev+GMtm1QB7gGl1cnkf+w6EcHMWVzV6c/wlFZhdRo1TpqWGCP8dlBG48Md19vud9dtgFVBwf1ERERE1At+R0VEREREdAsRQWlmXQAzxi9IGDtDOfsJ1MzGXsonRB3y8sfI8peTKd7kWuDILCYR3n7NisXCHkNH+meYsSWK2U+gmo9y/32ICcLnY4JJ9EAXDL8O6yS3nWuO/+e3v+7t9kLcBqcn+lo8lIjAGYWZyHWkD3/4ZvGoPx9iRBMiqhAxVPaBAshGDvAnuiYiUBFYFeSqKI2iVEGuAicCI5jAd2VERERERERERERERE/XhoBlnX5w+2XdftKctW7TjQ9et8MNo89E8GVh9ya8/Vquii9zC3dLMaSwBqeFw1j53CJdCO/M7dfXfB+ECKyagO/XDb5fN1g3HmHk2n9qlQ94t2lwvmnQhqHGok/DwiiOEzTtP1ShgheZxY8Kh7Osuw4/9ayBU8GL3OLImdFDKcY2swY/Py7hEl3kRQQ/mWf48SxLcvv3MSo4K+2DBkyULl1wROnMJM7FGACvczv2MoiIiIiIiIiIiIhowlKEacdtyCs9X4p6zpi1shgj2gR7rvKHVcftw6YNSZ7/ANBwgEOvrsOwU8rMdAZU07T4EHFZt7iqPeo7w9s/1IaIq9pjWbej54kQERER7Tp+l05EREREdA+nDgt7DCvjN86IWhSzHyErvoBMIphc4fKXKGY/hbHl2IsBACgUR2aB0pSTaLr6mIqOup9UHYr5T5CXX0J0+Ka854qx/6b/lDO8V36V7LZnZoa//c0ve7u9iK4Am6q4+xhG5UGNm1P3kPD29xOOQ8DaB2xCRBMjhjqaIAByZXg7TZuIwIjA3RHqzjc3iYiIiIiIiIiIiGhXxBhxsWmT38+q8bc2X7chok7UJLtp/SANXoUKvsgN7J7Wt6wKvsgt8lvqpc4oTots1FrqUWaxyKZwXoVu04aIy9rj21UXbl61Ya8bL2sf8HbdoE44nGJKZkZwNsLzL1PBqTP4UeHwMnconxHafm1uFSeZgdmhsyGC7muRSm4UPz8ubr3+90FE8KNZhr8wz5Pc/n1UBGeFRWbu/txUgNKm2d8CJA9QeIiZEXxVurGXQUREREREREREREQT5xPU9xje3J97yh2Tus2HChFJuuyrA6nh9m3V9J+jACDZWaFDlhtNdn7HiKC00xhQTdNStQGXdYunvqw32/D3FIM7iIiIiA7F+CcRiYiIiIgmTkUxN0codBoh5dYdoZj/BVh3MtoajF2gnP8ULjudzJv/mWRdOLqOH7Z/HxHB3BwhGzFA3dg5yvlPkRU7FuQe+y8QpozK9rFFFaokt11oCYXib3/zy16D3H2MaMP4Tdwqux3ifl94+/VE+ioErENEFSLaRIccPofh7bSrboa6F9tA90IFmQqs8A1PIiIiIiIiIiIiIpqmZeOTNFvf1IaIq/ruhs51ombPEIEqccNnpoJX2f43KKoIXmcG7pZP06jgtHDIzHjVkNIZHDHEffIqH3Fetfh21eCyatHscUP2edWgatNc26YiE8FLN9zzzgpwbA2+LBxe5w5za6A9XXtnVjFzu3MtFwClVZzm3bVvljAIPFPFz49LzBJe41+XDn9xMXyIu4jgJLdwH50FUgGOMoOXpUsW6F+OvN9KFXyZW7zKpn2mkYiIiIiIiIiIiIimIUWo6m0D4OnxbIJ+XAFGrWO0IUHffoyouOeeZNmkqeu3ISLs8fD3MYhIV/fu+3YBzA/gbBQ9Xu0D1j2cjQkRWNYtPEPciYiIiJ6EeUZERERERA8gIihMgSOzgE7g22gRRVa8QjH7CVSHa6pSzZHPvkJevoFMJChdIJibOWZ2vjPFCBFBqbPRhwJYdx3k/sWOBLn3XwhIHVS+apdJbldEUJrZ+//vM8Q9xK4YO4UQd7Mjz+mbPg5vj7ErbDchYuO70PY6Rox9/iBX6a3BmmhsIt1+tiLIVD8MdReGuhMRERERERERERHR+BofkoWnX4sx4qJq7/0zlY/JGrBSfn4GwOusvwDhqVMRvM7trfUNEcFxbjEbMMz5YzNnUCQMMab+RADrNuDtpsV3qwbL2u9lE+ZFtd/NpS8HbNB2InidOyyc6f3MRqaC+YjXrse4GdxeWn3/9S+sYu7SXf+sCn7/uMBRwmvsi9zhZ8dF72ECnyMiOCksjHwY3J460L8cac9dB7e/zi2yROH0RERERERERERERLRfYkxTz089jP1QHCWoEY19BiLJwIAQE6QBHIYmRNSJnq+pbveQqUjvtcj5AZ2NoofzIWLV47m8CGDVtKNniRARERHtIp6eJyIiIiJ6BKsWC3sMJ9MIu1aTo5j/BFn+Gkm/vReDrHiNYv4TGFOku59HsuK6x2Mnwsc/dD0UYGbmYy8F1h1NO8hdFFnxGi5/0ftNh8Rl4DrWaEOT5LZn5sMBAH2GuEd0hd6xG5x3rX/xOrw9xog2RlShC2zfhIgmRkylvO12NByf6DHeh7rrh6Huucr2OYDBG9KJiIiIiIiIiIiI6HAtm/uD1fu5D/+g5tp1myZovQ0RTaKGz2OnB1ffsiJY3BHgKyKYZxaL3A68qh/MnWGtZcf4GLFsPL5bN3i7brBp/V41Y64GuM6O4cQq3ECHJ6wAL3ObrCF8kU0/vF0AzG4Jbr8pN5okoOOaEcHvLQqcJAweP8ks/uCkhBn4Qq4ieDnL8GqWJQ9uB7rA/aEDDhjcTkRERERERERERERPFSKSdDwfWq29b1YFb+YuSX3ejJj8FmNME+DeTqWTejct6zRnemof9up8wFRkpr96fmkVVhkHSZ/qM7z9mo8c8EJERET0FOOd3CciIiIi2lEigpmZoYkWK78aezkAAJsdw9g56uo7+Pay39t2p3D5GUSm9YZ/aWbIJEveyJVaphkUiqW/wtgzpa07gnVHaJsrNPVbxFCPuh4AMG6BLH8JkTRNiam/5k4cUkUEqxjkmqMK1fvfuw5x/8uvf9bLffgYEUOEERnluSbbkGW/A0Xhf/T1URd6P6Gg9ttY6X4QHSIRgQG2TejdEyFun7MhAmH76+lfcYiIiIiIiIiIiIholzQ+oPFp331ufMCqeViVat0EzF1MUv/btB6u5w5jBTAfqWs5U8GLzGLZelyO0GS8sIqL9u6x5IU1MCK4qBoMPZvbqKB0+uB9R9PShIim8hB45FZRbEPCd/kMzqYNKF3Yu4bmuwY59E0BvMxcsgCP3MjgQdqPIega4nPzsOdBZhQLEVzVPkl9WUXwu0c5/v6yxvd1muEER87gD05K/NH5Bu0OnMt5ijJhCP4n96WCE2cY2k5ERERERERERERET5aqj/a0sCis4u2mTRLYvc+OnOKkSDcAecz6WaqBAUeZgY/AZaIg8n1XJTpfFGJ3jbETrtnuqpkzuKr9s67hmRFkY050oMny2+yKFGofkJvbB9sTERER0e0Y4E5ERERE9AQigkxyGLFYtUt4jF9EEjXIyzfw7QJ19e2zw7fVzJAVL6Ga9bTCfhgxmJk5TKJA7zFYtTiSBZbtFcIEop+tO4Kxc/j2Osi9GXwNohmy4jWMKZLeT4xpvt4CwcIuUJpZktu/ln0U4H7tb3/zy95C3EPsAo6tYpQCjEo3xXdqBF0z68IZHGcGmx04uKIA3Ehh/HTYFF1DvhHZDoToQiEqH9CO/NS5K9TdYxvoHjGBV2YiIiIiIiIiIiIi2mWbNu15ghAjLqqHh7tGXAcd919zr31AjP2Gw8+NjtK0PDOKU2cgIjh2FlY83jbDng1REcyMYHlPwdQZxWmR4aJqBm+2L61hgPuOu74ebNoAFaCwisIa2B0NIK79fgW4FzpM6LkAeJnbpI97PtFm88cGt9/kVLDIDC4ThbiLCH46z2AU+GaTJsR9Zg1+cVrij87XqHfg3MtjZEYHuR4wuJ2IiIiIiIiIiIiI+uITvldfWMWXc4fzyjNY+wFUgBelQ5l42HKq4coP0YZE/fUi74cGfL9uJtkfPlWlVbwo08UBtqHLCqB+iQjmmcFV3eIpl/HMCEpr2PtPt6p9unNZIXbXBWe494iIiIgeigHuRERERETPYMTgyC6wCetbQ5THYGyJwvwEbfMOTfUWj51/LOKQFS9h7DzNAp+h0AK5FntZgLjeSyu/RBvTNN09hojAugWMPRo4yF3h8jNYdzLI4xwTtFCWWuLILqCSvoqZa47LOz7WZ4h7RBe2bHX4ie7dPphGhd6pvA9sP3Jm1MMRjyUAcmV4O6UnADIV5EaRb3929zQqNyHiXd3iqp1OuIeIdG+ayg+B7hHYhrkz1J2IiIiIiIiIiIiIHidlkzXQhS8/tuF11aQJcA8R8DHC9liTuq/OkMqJM5gb/aC2NtuGWn9XtYPWCdwD6qVGBaeFw2XVokrYuHfb/eZGB71PSifE7tqwagKsyjbMfZwBCk/V+gi4sVfRn3KgJtkXmUWWOOh6auHWzwluv8mq4DgzuGz8k5rxP0dE8OMygxXBn6/TnNsqjOIXJyX+6GKDzR5dz2cJvs+5icHtRERERERERERERNQ3H9OeLbgO1p45xdtNi5rJ2rcqreKssDAD1ADGrMWmnu1bWMWXRxnebVosORj+XgLgtLA4ytLWt9o9G+g8JSqCo8xi3Xg0j/g656Y7l8Hef7pLqmEb13yM+3TMhoiIiCg5BrgTERERET2TiKA0M1hxWPllkkDop6zJZWcw9ghN9S18u3rI34LLzmCz08m9ya9QzMwcVvf7nzAqirk5wtqvUMd67OUAuCXIvXqLGNM0BBp7hCx/CRnwce7z+WrFYmGPkWnW221+jpH7i7F/+5tfAkBvQe5jUUl/GOAuc6tYZAbHzqLc4dHiDG+nVJzK+6D2XAXZI/eaU8HrwuEkBHy7aVFN8BCIiEDQXYu64zAfhrr7baj79FZORERERERERERERGOLMSZvgJw5gxAjVo9oeDUJy159f7p2wBKXogsyzu/4AmWqeFM4fFe1aBI3z197aIC9iGCRW5jGY9X4xKv6wcwxwH0ftSHiqva4qj0yIyiseXbQ9RD2reF8iKHyZ86gSPmigK7COpW9o+jCIvrcz+Y6xL32jx6o8hAigi/KDEYE/2CV5jxZ9j7EfY3VhIavP5VVgUu0rwsVnDhFnnjoAREREREREREREREdnoFK0MiM4s3M4aoJON+07InbEgBnhcU8cYj2TWPOiQ0DbDgVwYvSobQe32/a0frEp8yp4GVpk9W2bvJ8AJJSEcwzi8YHbNpw71AOp905jCEGRdBuS/205WWBiIiI6HH2O/2QiIiIiGhATh0WcoyVX6KN7djLAQCoOuTlj+DbJerNt4h3rGuM4OyHyjRHqeVkGvlSux4IoEGxCZuxl/Pep0Hu39+5nx592+qQ5a9hbNnL7T3qvvH8fSUQzM0RZma2t/vUiEBlvIbaoQ6eAIARYOEMjjOLhTOwe1D8zFWge7o3aVhGgFy7Zvbrn/vaW5kqflQ6nDceb+vhQkWe6maou70R6h7QFawDQ92JiIiIiIiIiIiIaGuI94qPMgurHhfV599jVwGO83RnA2LPxb2h6lxOBC8y+9n6oBHBq9ziXeOxHiC4/DEturJtBrUquKiGObfijMKq7F1wNv2g9hG1byHogq8Lq4M0j1N6TgTlgTyWKYLbP7h9ESwShrgDwKvCwYjg7y2rJLdvVfAHJyX++GKDywEHgaQwc/0HqzC4nYiIiIiIiIiIiIhSiwN2osm2tlFaxdtNi80eDHh9jtx0QeND9hOP2bMNDNv3WDqDL02319YHvtduOnKK08LubTbBoXKmO1MRYkTj4wfXdiMCq2lq1rSfUl+r+z7nR0RERLTvppfOSERERES0w1QUc3OEKmwmFb5t7BzFvERTv0Vbv3v/+6o5XPEKxhTjLe4OAsHMzOHUjb2UwYkIClNCxWDll2Mv5wMfBrlfoqnePiPIXeCyM9jsdLRC03MD3HMtsLALGBluovpNDymK/OXXP3vy7at0xcB9LwSWRrHIDI6dwczqXn2+mQjMHn0+NBwBPghqz1WTH0ASEZxmFqVRfLNp0exY4VdEYNAF3eOWUHe//TURERERERERERERHQ7Z1mr8AO95F9ZARXC+ae9t3jrObdJQ9D6GaN/Ufe3S1ihKozh15sFfFxXBmTOwIrhs04bctk/YOrk1OBXBRdVgiFz1mdMHDQ+g3RYBrNuAdRtgpLvmFFZhJjQUfUJL2QlNjLhoPU7c/raUpA5u/+C+RHCcGVw2IdlQi7PcwgjwJ1dVkkZtI4KfHRf4k8sN3u3A4PXbGBFkPQ4mYHA7EREREREREREREQ1ljFKXVcHrmcOq8Xi7aQepL0/NSW6wyMzgfcVDDbO/y9D3blTwauawrLu9doBb7T0V4KywSYYS34et5sNSEeSWX3R6HkHaEPexX4uIiIiIds3+nrYlIiIiIhrJdfi2FYelX2IqUZ0iiix/CWsXaOrvYMwcxi0mGVTsxKE0M6gcduNTphkUiqW/GnRy+kN0Qe7HMHYB31yiqR8X5G7MDK54BR05oP+pe8yIwcIeI9e85xU9TnvP1/w5we0CTGqCc9+7XwEcbQPbjzMDt6dNllaQPHCb9kemglwFuema192Iwxtyo/jxzOFt3eKimcb3UU91M9TdQRBj94rehbpHhIiJfKdIRERERERERERERKmoAn6gDNTMKF6UDu82DfwtRbaZ015DTW9jTb/1hTZx+P2xNTh6wpBnEcGxM3AqeFunay5+6ufvjOK0yHBRNcmChK/lRqHiD7KZ/1D5CCwbj8oHnOR2MiHu+9ZYWoeIWeKe/as2wIjHkU13RxGAD3HQfaICFGaY4PabRAQLp7hqAppEF8XjzOL3F4JfXW2SXHdVBL+3KPD3rip8Vz38LNhUlK6fgBUGtxMRERERERERERHR0IwqvB+n02zmuuHN7zYtljvez/dQTgUvSpv8DMVdxu79NSrJ6ln3mWcGuVV8v25Q3XawZc/lRvCidKM8/mbP6ulEh8Deca3uzmoJ2nD32QT3gOv8RI77EBEREe0MBrgTERERESVi1WIhC6z9Ck1sxl7Oe2oy5OWPxl7GnUozQybZZIKjx2bV4kgWWLZXCBOMeBUR2OwYxj0syF3EwhWvYO18wFXezUn26L8zN0eYm/kk9mgVqk9+77nB7UZlUk3NoadAhkwFx5nBsbOYO53U55iCAeD2/HOkp7PSFWevA9uziT3vga4p/GXuMDMB31S3h8zsIhGBoBskge3X/H2oewQCIuoR10dERERERERERERE/XOqaIZKcEdX7zsrHc437QdNWFYFc5c2CThFrbFO1DAsAF5kFsUzm7FLozC5xXdVm6Si/5zP36jgtHC4rFpUCRv9RQSFVawOpJGfuuHF88ygSBj6/RS53a+g5bUPOE183QaA88bDiKBMGE5Rh4BS038uKt11ORs4uP0mEcGRUyzbgDpRofvIGfx8UeCPL6skg05EBL9zlMOq4Lfr6Zx7/BwBUDzzOsDgdiIiIiIiIiIiIqKHyayBU4WPsbce0ENnVVAPd7TgEypdsPTMBbzdtMkHhY9pkRmc5P0MhX0qO3ItYswAeauCN/MMl1WL88pjf3fah45zg+NsvH039p4jose7a9hGEwIWmUVuLWKMaENEEyJWjUeIES/LDOv2899UGCa4ExERET0KA9yJiIiIiBJSUczMHHWssfarsZczaUYMZmYOI9Nq7pwCIwZHdoGlX8LfE44+pptB7m1zgbZ+90mQu81O4bIziEyjwKfQR+23THMc2+NJ7dEqbD74/+eEtxuRSRZZnnp4RwDMneLYWRxnBnnCRuOpEXSB9VMYMkDjU2zD2o0g1+5ns0N7o7SKr0yG76oWy3Y/Qz/eh7oLAAjCAV2viIiIiIiIiIiIiA5B6QxWzbBd1iqC08LisvbYtAEC4CS3yetHzw1Nvc0mUfjtzOizw9uvZaoojWLZc0h6jBGbZzbFiwgWuYVpfNJ9WFrDAPcDIOiC20urk6tHC4Bsz+psTQTaEAcJT/i+bvEqs8nOVtQ+okzYuTKF4PabRARzq1CEZK9jpTX4+XGBP77cJBl2IiL4apbBiuDPVrsxhrx0Tw+8YHA7ERERERERERER0eOpChSCuA1x9zGCWe5PZ7XrMRv7S1hYxZdzh4vK42LMRPkEjAAvSpfkbMNjqHRrGZMRgQowZk7/IrcorOL7dZuk3jUVRoCXpRt9ILkbe9MR0aNlRrG5pbc+bM+TuO0ZCWcEznTXm3ebFm0In/2eTICdyhsgIiIimgIGuBMRERERJSYiyCWHFYtlu0TAfhUr+1BogVyLSTTQTZWK4sgcYeVXaOJ0m+JEBC47gXXH2yD3txDNkOWvoCYbe3kfyM3D9pzCYGEXKEwxwKoebu3XaLch+c8NblfBJJ9/3cGdh/95q4Jj100gP3LmIItGAiBnePvBug7vz40i3/7sJjiY4bGMCN4UDleNx3dVC0Z/EBEREREREREREdEuUREU9vZmqpREBMe5hREPo0g+zFmlC5PtmwdQh4is5/VvQkCMsZe6Whe03v/jW4fYS3O+iGCeWVgVXFRphsabbW2q6jnEnqZj5hQzZ6ATrUU/J7h5yt42Hq/zYVo+vq9bvMpdkhpzHSJ8iMlei46z6e1NEdkOO4hYJ/oeIDeKnx0X+NXlJklQvIjgy1kGI4I/XVa9336fVICZe/z3IYUKTqwmG15AREREREREREREdAhEBEYEBl3t1MeI0FOt85Bcny1IVVd4DBHBSWExc4rvNy3qRANrhzR3itPCTqKmVNrxa5tdLctgmXAQ/EM4o3gzd7ioPS6q/cvgKK3iRTn+vsuNjr4GIno8lbvPY9U+wG3r3CFGrBqPNkTkVuFjNyQjxIjGBzQhov0otOM6/J2IiIiIHo4B7kREREREAzHShUCvwxp1mHZD01AUipmdwwr/afIQIoKZmWETFFXYjL2ce90Mcp/iG/dOHDL5fKD8zMxxZI4m9zn46HHZXjwruL2b0D7dwkqMnxaCbpOp4EVucZyZJIEQuyZXYRH9gDiV90HtuQqyPQ/vP3IGhVF8UzVJms+JiIiIiIiIiIiIiFKZZxaNb+Dj8O9vz7NhamhHmU1Wp1j7gEz7/Tx8BNoIuB6W7GP3o2/rx0y7foDcGpyK4HzTJAlLmDkGuO+j3CiOMpN8CMRzOJUnBTfvgnWIWLYBc5s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DnFV1tQxPgjtgid1nJfml7v7gPNpai6o6OsmXpux+W3cfs8p6Dsxw4/nCSa6W5BeT3DXJ0Suc+t0kV+3u1d6UZgtU1d8l+d0ldt22u9+wzrqfn+RByxzy7SQP6u7XrLK+6yR5QZKrL3PYm7r7VquPcnurqv/McBNymnckeUh3f2yFevZL8uAkT8n0RAjvSXLD7j5nLbFOtHfjJG9fYtfLu/u31lv/Iqiq30vytzOc8r0kl+juMzYoJICFUVW/nuQ/Mn1i4weS3Li7T9+8qNZvNNi43Penc5K8OMmfdPe07+nL1X+ZDJND7pwh+dD49fvl7n7PrHWyslGyqO9n6d9X152FtJH9PHa2qjpftuaBuD/r7tM2qvKqOjbD/YTldJLPZvgeclKGBIBLeWF3Hzuv2JazN/SdAQAWiXHmcxlnZjWMM29vxpkXl3FmYDtZ4XvjVzM8YGXS47r76XOO495JXjhDDElys+4+YZ5xwFaqqjsleXmW7meOe3uGB9O/cdbvD1W1f5JbJ7lvkjtk6TGlVfcZYTNV1XFZOiGh31kWgnkerNVOneeRmOsBwM5mbPpcxqZZjY3uM1XVeTM8PPySUw75fpLf6e5Xr1DP1ZK8LMPv4FLOSnL97v7QGkPdloxNLy5j08B2VlV3yfB3d/8VDv1QkucmeXV3/3AN7eyT4WEiv5Hkt5McNuXQj3T3tWatH2A7Mj8Blmd+AtuBOQqs1U6do2B+whJ1S+AOsPeoqqtmuJG6VEf/nAzJIP9vnW3sl2Eg7zpTDnlKdz9xPW2s17wmLyxT/28meXaSI5Y57Hnd/dD1tMPGqaoLJvlKhifCjvtKkkuvZ5C6qi6Z4fdvvymHfD7Jjbr72zPWe2CGhK+3XuawG3T3u2epdzsa/Rt8+TKH/GuSe3X3mTPUeb0k/5XkAlMOeXB3/93qo1y2rU9mzycan5XkMt391Xm0sZWq6v1ZeiLdl5McNeW03+juV25cVABbr6qulOS9mf5E+e8muc52+1tQVfsm+VSmPyn6B0nu2N1L3fhaS3tHJXlohqeanj8SiW+Yqrp+hr7fpLOSHNrdP9vkkGBZG9nPY+erqpMyvb+ykZ7b3Q/bqMqXGDTrJF/IMED2gQyLkz7Y3T8aHX90pt9T27RBs1EsO7rvDACwaIwzD4wzsxLjzNubcebFZpwZ2E5W+N74zCQPz55/0z/V3VeZcxz/m+RmS+x6aqYvkJDAnR2jqn45yf8mOWiZwz6f4TvZm+fU5pWS/L8kk4t8LDZlIVkgzSIzz4P12KnzPBJzPQDY+YxND4xNs5LN6DNV1bOTPGLK7u8kOaa7P7XKug5N8qYkvzzlkPdkGJfeK5LfGJtebMamge1qlKDuzUkOXOawLyV5eHe/Zo7tHprkfkkem+QSE7slcAf2CuYnwMrMT2DRmaPAeuzUOQrmJ+xpK7L0A7BFuvsTSY6bsnufJC+oqoPX2cxjM33iwkeT/Ok661943f2vSa6f4Ykw0xw7emIOi+n3smdHKkn+cQ4dqXtn+qL605PcZtZF9UkySpB5tySfWeaw+85a73YzelrvU5c55C1J7jHLxIUk6e73Z3ia/dlTDnnKaHBpHv6/Jcr2S/IHc6p/y1TV1bL0xIUk+eNM/9y838ZEBLAYquq8GRLkTPt+eFaGiVzbcRLbnTM9efvpGRIAzCV5e5J095e7+9FJLpnhO9335lU3ezj/lPJTJG9nQW1kPw+2q+8l+bckj0tyiyQX6O7Ld/dvdfezu/uEXQNmC2jH9p0BABaRcebNYZx5RzDOvE0ZZ15sxpmBHeY7Sd6wRPmVRw9QnovRIohjltj1rgwLQmFHq6ojkrw6yy+OfkWSa85rcXSSdPenu/seSW6S5JPzqhdgL2WeByzNXA8AdjRj05vD2PSOsKF9pqo6MsnvT9l9dpK7rjZ5e5J094+T/HqSb0w55JeS3HWmILcpY9OLzdg0sF2N/na/Ossnb39ZkqvPM3l7Mvyd7+6/yrCO+IlJTptn/QCLzvwEgB3DHAXYk/kJEyRwB9j7PCPJ+6bsu0KSp6214tHT7f/flN1nJjm2u89Ya/3bSXd/PclvZPpA5yFJbrl5EbFaVXVAkocsseucJP80hyZutcy+53X359ZacXf/JMkfrbHtneL2SS47Zd8Pk9x3rR3i7n5vkj+bsvsCSR68lnqX8MIkS31WPmCOEyS2yu9MKf9RhsTFL5qy/1dHN60Bdpyqqgyff1da5rBHd/cJmxPR3N1rmX1P6u6PbESj3f3T7n7+er5bsaLDp5T/dDODgNXYhH4ebEvd/bruvlt3P72739Ldp2x1TDPYyX1nAIBFZZx5Exhn3r6MM297xpkXm3FmYKc5fkr5febYxn2S1Axtw07zj0kussz+v+ru3+zuDRnf7u53ZEjy8w8bUT/ATmeeB0xnrgcAewlj05vA2PT2tUl9pkcm2X/Kvr8Z3f+aSXd/N8lDlznksbPWuU0Zm15sxqaBbWe0RvkFGT7rp3l6d99jNE9sQ4zW9D4lyTWSvHOj2gFYQOYnAGxz5ijA0sxP2JME7gB7me4+O8mxSX425ZA/qKobzVpvVe2bYXHPAVMOeVp3f3jWerezUTLKf1/mkF/arFiYye2TXGyJ8nd097Snu8/iWsvse+Ec6n9tku9P2XdkVZ1/Dm0ssuWSxD6vu7+6zvr/PMmpU/b9flWt+/t1d38/yf8sseuwDJOitqWq2j/JPafsfmV3n5bkxUl6if37ZL6LVAEWyROS3HGZ/S/p7r/cnFDmq6r2S3LMlN2nJfm7zYuGDTDtSeBL/S2HrbbR/Txgk+3UvjMAwCIzzrx5jDNvW8aZtzfjzAvKODOwQ70+yclLlN+9qg5cb+WjBfr3XmLXT5O8Yr31w6KrqmOT/Noyh7y4u/9wo+Po7tO6+0FJHpghARwAq2eeB+xAO/X+FQDzZ2x68xib3rY2tM9UVedJcr8pu3+S5Mlrrbu7/yPJu6fsvk5V3WCtdW8jxqYXlLFpYBt7YJJfWWb/33X34zYrmO7+fJKbJnlKhoSXADuW+QkAO4Y5CrDDbNQ9TAncAfZC3f2pTH9K/D5JXjAaYJ3FYzI8jW0pJyZ56oz17RSvW2bfZTYtCmax1OK1JPm39VZcVYcnOd+U3d/r7o+tt43RBKW3LXPIkettY1GNksTeasruc5L8/XrbGD1V+Pgpuy+Z5ObrbWNk2u/btN/P7eAOSS40Zd+LkqS7v5LkhCnHHDv/kGAxVdUhVXXNqrp5Vd2uqm5WVddaw/czFlxV3SbJccsccmKSB2xKMBvj8knOO2XfW7v7R5sZDLBX27B+HnuH7j66u2sLXg/b6ve+4HZi3xkAYKEZZ95Uxpm3H+PM25Rx5oVnnBlWyTjz9tHdZyZ56RK7zp/k1+fQxE2y9HfG/+juH86hflhYVXVQhmQQ03w8yYM2KZwkSXf/f9necz8AtoJ5HqyLeR4LbSfevwJgAxib3lTGprefje4z3THJoVP2HT9KfLMef7HMvmnJs3cEY9MLz9g0rJKx6cVRVYdk+TXK70uy4YmDJ3X3Od39xEx/KAzAtmd+AsCOYo4C62KOwsKa+z3M/dZ6IgDb3rOT3ClLPwH9ckmeluRhq6moqq6S5ElTdp+Z5NjRoqO90eeW2TdtgfVCq6qLZxiEPCbJ1ZJcIkNiznMyPJX7KxkmrPxvktd194+3JNA1qKoLJbn1Ers6yavm0MS0SQtJ8vU51L+aupaLYbu7Rqa/vxO7+8tzaue1mT5Q9VtJ3jyHNl6T5Kzs+X39JlV11Bzfy2aaNsB2UpK3j22/MMnNljju8lV1k+5++xL7GKmqa2T4fP6lDH/Pj8zwGX1QktOSnJLkS0k+luG6v7G7T92KWMdV1WUyTD66UZIrJrlUhrj3zxDzF5M8q7tfOUOd5x/Vd7UkVx7Ve5EMf3/Pm+Gz/bQk303ytQwDIO9L8qbu/vY83tcsqurySe6b5DYZPs9qicO6qj6d5D+TvGiphCxVdbkM73vSj7t7Q24Mbtffu602+lm9JNMfrve9JHfq7tM2L6q5u/Qy+07arCDY0yyfu1V1ZJJrL1HNUmVJcp6quuMqQ3lTd/90hri31Wf7uNE1v1mS6ye5QpKjMiThOCTJ2Ul+lKE/dVKST2aI/a3dvVyfch5x7fjP8E3o563JdutbV9WVM8T7yxn+/V0kQ//rtCTfz/A78q4kL+nur66h/n2S3DjJ7ZL8QoZ/J4cnOU+SnyT5apKPJPnvJK/a6uvBwtiJfWcAgO3AOPPmMM68jfp+xpm3PePMi8048ybYrveKjTMbZ97mjk/yB0uUH5vkFeus+9hl2twyi/oz327/7qfZyd+3Z/TgJEdM2ddJHrAV8zC6+6TNbnNRbcTf7+1iqz9vRolzfnWi+EpTDr/QDHM/dvlKd39o5sB2kM36/V7Uv6nzsqjzPJLt9/fWXA8W1E68fwXAxjE2vTmMTW+j76qb1Ge62zL7XjSH+l+b4edw2BL77lpVD+nunkM7i8jY9GIzNr0Jtuu9LWPTxqYX2O8nudiUfWcluf9Wfs/t7hPnWd92+3ezHVTV/hn+rl03ybUyjB0dnuGaHprkjAzX9KdJvpPh7+KXM6yBfU+ST3b3OTs1no2wU36Pd3K/awbmJ2wD5ihszeeN+QmbYzN+v3f4d+kkiztHYbv9rTU/gQU1/3uY3e3l5eXltZe+Mnzp/mmGL4qTr3OS3HgVdeyboeO1VB2d5Ilb/T6XiPnoZeI9Yc5tXWGZtl6/xjqPm1fsGZ7yvFRdxy1x7JWTvGz0ZWTae5p8/SjJ05Ocb6t/7qu8Hg+d8j7ePaf6L7DMtXrXHN/HU5dp51pbfZ038Od3n2Xe9/Pm2M55MyTZXKqdb8yxnf+Z0sbjt/par+G9XGKZz44/nTj20CQ/nnLs8Rt8bb+YpDbwOkz7zF1Xuxlujj46yWdm+Hze9To9QwLpq2zC+zxuiWNvleQtq4x1j/Mn6qokN8wwQfNDy/w7Xel1ToabU3fapH8fR2X4+3rOGmJ9XZJLT9R37JRjT5pz3Av1e7fdXhkSNn9smWt0VpJbbHWcc3ifv7XMe3zqVsc3Jeajl4n56Dm2c9yUNk5YQ10nrPZzM2v43F3mc2Uer2WvabbpZ/tY/Idk6GN8eB3X6EtJnpvk6nOMa6/6DM8G9/PW8O9wy/vWM8Z7iyRvmyHWs0fv74hVxrJ/kt/LMEi42jZOTfJHSfbf6t+vve2V5f9OHr9FMe2YvrOXl5eXl5eX13Z6xTjzUq8T5tyWcWbjzOP1G2fe2J/ffZZ538aZt/ZnY5y5l/3MNc68ulj3OH+irm05FhHjzBt+jdf5Po9e5n08auy4jyyx/6wkF19H29M+D7+SZJ8Vft6d5Jid/jPfDv/u4/v2en62X1zmfb9kq2NcIf7lPjuOnmM7x01p44QN/l1d09/vbOPvYIv2ebPC79g8Xsf7/Z7t93vGeBbub+oG/vvb8Hkea/gZb/nf2xnjNdfDa/zndfQyP5fjtyimHXP/ysvLy8tr418xNj2XPs4KbRmb3kb3yrLxY9P7jb6/L9XG1+b4Pl66zM/k2lt9nTfw53efZd63semt/dkYm+5lP3ONTa8u1j3On6hroe4Zz3C9joqx6YV8Zfieu9w9ur/f6hjn8B4X9t9NtuHYx0S9l0vy1xmS9q7lmu56/TBDYtO7Jzlku8ezEdd7kX+Px2I8YUqbxy1x7I7vd83wc9228xNG7+HoZeI/eo7tzO3f1Yy/q+YobOHnzQq/X/N4Hb+Tfrc36/d7hlh2/HfpifcrF8X64jU/wWv853X0Mj+X47coprnew9wnAOy1uvszSZ4wZXclecHoaVbLeXSS603Z96Ekf7bG8HaK8y+z75TNCmI9avCEDE9bunuGG/mrdWiSxyT5RFVdfwPCm7c7TCn/3znVf0qGDsRSLjCnNpLkQsvsO3mO7Syao5fZ99F5NdLdP8rwJNalXLyqrj6npt4ypfzX51T/ZrpPpn92vGh8o4enl017+txdq+q8c4jn+Cnll87wpLW5q6qjk9xkyu4X9ai3N2Od+1TVQzM8FfgZGSbMzerAJPdI8rGqem5VHbKGOmZWVResqlcl+a8kv7LOug6qqmdluA7vTPKIDE/KW2t/tzI8mflVVfXeqrrqeuJbtqGq38rw+XT3LP20+ZXcLsPP7u5zDWwZ2/n3bsG8IMMTLqf54+7+n80KZovM87sPK5jn5+5m2M6f7UlSVftW1YMzxP/XSa61juqOTvIHST5aVevql+zFn+Eb3c9ble3Wt66q81TV8UnenOnfY5eyT4b398mq+rUV2rhqhntHf5vhqd6rdb4kT0vyzqq66AznsTPtpL4zAMC2YZx5UxhnNs487pQYZ95IRy+zzzjz1jLObJx5N8aZRw0ZZ95OYxQrOX6Jsn2T3Gsddd41w0OGJ72ou89ZR70zWcSf+Xb+d79k43vX9+3VumWGv8vT/PlmBcK55vD3+/gp5Qv7HWynfd4w3WbMx1nEv6mbYCHmeSTb7++tuR5sIzvp/hUAG8zY9KYwNr297pVtdJ/puhm+vy9lnuuclqvrFnNsZ9Ecvcw+Y9Nby9i0sendGJseNWRsetHvqd4m0+/RnZPkmZsYy1xt5383i250bf8kycczJCtdbs7gapw3yZ0yJOF85XaPZ5522u/xXtbvWg3zExaUOQrb//OG6TZ6jsJe9l163ELMUdhuf2vNT2Abmes9TAncAfjLJO+asu+yWeaGQFVdOcOToJZyRpL7dPdZ6wluB7jsMvs+v2lRrFFVHZxhEPFPkxywjqoumeStVfX/s3ff8XJU9f/H35+bnpCEEHoNAtIhFJEmBBQ7KjaKIEVFxfLTr12/ivr9ili+itgroVcBxYL0EjokoZdAGumN9HLb5/fHbODmZmfu7s7Z2Znd1/Px2IcyM3vO52ZnZ+acz9lzxgUIqy5KA3XiGgJ3haij9CO4p2J272hmaf6Ne9otZvtiSbMD1ZFHSZ3xrwSua0nCvkMC1XFnzPaDzWyLQHVk5cyY7Q+4+5Qy2y+OOX6YpBMDxHO9otVzyzk9QPnlfFTlk9Ou+L83lpltreja9EtJm6YJrKRN0eSwD5hZUqIgNTN7vaSHFSW/QthU0pdUXUdLpQ6R9KiZhTjvNmBmX5d0heIHtVVqmKQrzOwz6aNKVuTzLk/M7GuSPpRwyDXu/uOs4qmzxQn7DsgsihZXh+tuFjZVAa/tkmRmO0i6R9KvJY0OXPyBtb6xVa/hWbTzKoyjUG3rUnvjLqV7Nh4h6SYzK3vtMbN3SHpEyQua9OUQSfeYWejvGoqlmdrOAAAARXOByDPXE3nmCHlmkWfOAHnm/CLPTJ75VeSZI+SZJRUkR1GhyyWVe+5Nc005I2b7+BRlViXHn/mmKuD3vpxWet6u0skJ++5z9ycziwSSgt2/i/gMtqma5HqDeFmMx8nxPbVu8jLOQyre/ZaxHiiYZuq/AgBk4wKRm64nctOR3PeVZdRmSspZPhCojr7KCpU3zSNy0/lFbprc9KvITUfITUvKf59q0ud+h7vn/lkuwaYq4Pcm78xsE0UTvn5H0eSqoVU1l2He4qmDTdUk53ErtbuqwPiEHGKMQvGvN4hX7zEKLfgsLSk/YxSKdq9lfAIKJmgfZqMbGQCABiv90PdMSatjDvmsmR3de6OZ9ZN0keI7wb7n7nE/IG4l707Y91BmUdTAzAZIuk7S+wIVOUTSDaXGWh4dq/Lnc7viB/jU4u6Y7UmNuYpZtDL3ETG776llhesCGZKwb2ngupIGQxwUqI5HJa0os90kvS1QHXVnZm9S/GQPl8Rsv1PSyzH7zkobk7uvVvyKuR8qda4EY2amqMO0nHvcfVqV5e0h6THVZ3XOfSXda2ZJg+9qZmbbSrpF0uvqUX6dDFY0OOCUUAWWVpz8YajyFF0XLjSz4wOWuWEFBT7v8sTMjpP0g4RDnlSA61yOLEzY94ZW+MwbraDX3SwEv7ZLkpkdqOhaeXjIctNq8Wt4Vu28WEVrW1u0kvU/Jb0hQHH9JV1qZvv2quMdkm5UchuuUq+XdGmAclBcTdF2BgAAKCLyzHVHnvk15Jkj5JnrhzxzDpFnJs/cU0HzHeSZVezzLgvuvkDSv8rs2svMqp48pfRDp3LPBfdl9eP8Fv/M65KD7K0Fn7crUrpvviPhkCuzigWRUPfvoj+D1Ukm1xvEy+L5tIXvqQ0f5yEV737LWA8UUFP0XwEAskNuuu7ITb8m731lWbSZDkjYNzFQHZL0vKSVMfsODFhP3pCbziFy0+SmeyI3HSE3vZHc9amaWZuktyccQm4sWcvlWkrPzv+RtFHbqRHyFk9BMUahQRifkE+MUairlrtv5k292ymt9izdS8PHKBTtXsv4BBRQ0D7M/qnDAQAUnrtPMbNvKlqJvjeT9Bcz28/dV/XY/iVJb4wp8hFJPwobZfGY2d6SPhSze7GkOzIMpxa/lPTOMtuXSrpN0iRFk3IulTRa0k6KHkaSEvSbSvqNpPeHCzOYuAepSaXOlVAuUrQ6WDlfVPRvm8bnFb+K1p9Slp13SZMGhH7uHZCwb9+EfRVz904ze0DSW8vsfpuky0LUk4G4wQbrJF1dboe7d5vZZZK+UWb3YWa2h7s/lzKu8ZI+Vmb7cEXXqJD/vkdKiutIGl9NQWa2m6IV6Lbq49DFpeMmlv7/EkkjJW2taPKNYxQ/AHE7SbeY2UHuvrSa+PrQJukqRfeL3lYo6iycLGlBKd6hksYoWs3uzTXWuVLRhNiPS5opaVnp1a7o32OUpP0kHSxpjz5i/7OZPePuk2uMRZJkZkep/DNXT4sUrYx4o6QXJc1V9Ey2jaRdFXW6nSBp814xXiTpx2niK6fg511ulH4sf5WkfjGHLJV0Qq9n7qJ7VtJaRUmZ3tokXWBm7y0NqEZ4jbjuZiF313bp1cnb71S00msSV/Tvfrei6/sCRT8m2FRR7LspSlbsrfjrRTVxtfo1PKt2XpKita3/qPIJs+mKJpF5SdJ8Rd+hrRQtWPBWScNiyhsm6Q9mdri7u0UrfF+ljdutXZIeVPQ9mqvoeWiEpB0VDSg8WOVXkJekd5jZB939ukr+QDSXJmo7AwAAFBJ55vogz1zWpiLPTJ65fsgz5xN5ZvLM65FnFnlmFTNHUamLJL2nzPYzJD1cZVlnqHxf+kVVllOTgn/mufveJ2i15+1KjVXyuVdusQTUT+j793gV8BksRpGuNyiv7s+nBb+nppWHcR5S8e63jPVAoTRR/xUAIEPkpuuD3HRZmyq/fWVZtJn2TtiXNs/2qlJeb4rKfxY7m9nQjNuBWSE3nU/kpslNr0duWuSmVZw+1YMUPd/E+U9WgTRA7r43BfElRX3DSWZKukfSFEmzFf3utUNRv+8ISVsoeo7YT+WvlUWOJ2tFOo9brd1VibFifELeMEYhXpGuNyivru2UFn2W7ikPYxSKdq9lfAIKJXgfprvz4sWLFy9eUvTgcY+i5F+51696HLuHpDUxx62VtFej/54+/tYxCX/nXYHq2EpR4zWunh+mKPu7oWJX1CgqV9akMttelHSipP59lHmIogEscX+7S3pro8+DMnHHxfyHOtR1c8K/zYdTlLuPpOUJn6k1+t+5zp/hLxL+XU8JXNfkhLrmBKznJzF1TGn0v3eF8Q9X1JlX7m+4ro/37p7wb/zjQPFNiSn/1sD/Dn+KqWelpE2qKGekooFOSdfXCYo6FRK/76XP5vuKElVxZd1Y4997V0x5L8ds+4ikgX2UOVrSgTH7ti5zvTtXUeKj4uueogTdbyR1JvybTJTUluJcGKaoUzuu/C5F17I+z4vSZ3hh6T09y3glpuzpNcZciPMu7y9FndyT+vjs39HoOOv0t9/Wx/lzSSXnfIbxjkmIdUzAer4bU8ddNZR1V0xZdbnu9jjmjJDXm15lF+baXqpnW0UDQJLO9WWKBmZuU2GZm0g6WdLfFA36dElLq4yr5a/hyqidl/A9LHftb3jbOiHeJ8pse1DSEX2Ut5mkP/QR64mKBoH3rqND0TPNln3UcZiS+1lmSRrQ6HOu2V9Kvk+Ob2BchW478+LFixcvXrx4Ff0l8szrX3cFqoM8cx3awnU+L8gzF/wl8sy5e4k88/p6yDNHL/LM5JkLl6NQ8nPjl3sdO0DRj6d6H7dE0qAq6jRJ08qUs0rS8F7HnpEQ37hm/cxVrO/9XTHlTiqzramft6v4N/tkwt81o9HxVfg3JF07xgSs57sxddwV8FwNfv9WgZ7BCna9CXY+cH4HG48zUjm/p9bzpWz7WeI+41zebxPiZawHr77OnTEJn8H4BsZV6P4rXrx48eLVmJfITQdts4ncdOH6yhJiDtZmUjTxUbk65tXh77km4d8/19/RFH8zuemcvURuen095KajF7lpctOF6VOV9OmEGAtxDe7j78v990YFyn0oWkxhVUK8N0g6qMq4tlK0CMoNeq3tdXMR4wn9712k87hHHXfFlDupzLambndV+O9V+PEJpb+jMNexCs5VxigU4HoT8lxotnM76/O7x/6RasFn6V5xMxdFdfEyPoFXX+fOmITPYHwD4wrWh9kmAAAkeXSHOVNRJ1c555jZMWbWT9HKpoNjjjvX3Z+pR4xFYWbvk/SQoh85lzNN0v9mFlBtxvb67z9K2tPdr3b3zqQ3uvvDkt6kaHWuOGenCy8sMxuoaDW4cp6oQ5WfUtRRUs4lpXOoKmY2VtEP9oeX2d0h6czS97yZLUjY19cqb9XaMmHf1mY2JFA9j8ds39XMRgWqo55OVPzqZ5ckvdHdn5f0cMzu08ysf5rASi6O2X6sme0QoHyZ2VBJH4rZfZ27x10Lyvm1okEd5ayT9HF3P9Ldb+7r++7uK9z9O4pW05sRc9h7zeyDVcTXl+17/fdVknZ398vdvT3pje6+2N0nJhzSrmj10H3c/QB3/567T67muufuT7r7OZLeqKgzq5wDJH240jLL+JakuHOrU9L73f3/VXJelD7Dz0v6QOm9622aIr5yin7e5cUftfHzVU/fcfd/ZxRL1v7ax/7TJD1tZp83s3LPMahdPa+7WSjEtd3MTNEzxbYJh10haRd3/6G7z62kXHdf6e5Xuvt7Fa2C+1NFqyBXo6Wv4Q1o55Uzttd/571tvW+v/z5X0mHufl/Sm9x9ibufrSjZHOf/SfpyrzoWSHqju3/e3ZPac3L3ByQdpfg20naS3pFUBppa0dvOAAAAhUaeORzyzOSZK0CeuT7IM+cPeWbyzD2RZybPXLgcRTXcvUNRLqm3UZLeU0VR4xT98KG369292hxTLYrymRflex9nbK//burn7SodmLDvkcyiwHr1uH8X7Rms6NcbxKv3eJyi3FODy8k4D6l491vGeqCoit5/BQBoAHLT4ZCbLl5fWRZtptJvekbH7J4doo4qyty5DvXlAbnp/CE3TW66J3LT5KaL1KealBtr9O9CQynK96YI3idpaMy+z7v7Ce7+WDUFuvt8d/+Lu58gaUdJ35E0p6Dx1FPRz+Oxvf67qdtdVWB8Qv4wRqH41xvEq2c7pVWfpSXlZozC2F7/nfd7LeMTUFTB+jCZwB0A8Cp3f0nS12N2m6S/SPq2pENjjnlI0aRyLcHMBprZaDPb3czeb2bnm9mLilZk3CnmbQslvcfd4waJ5NH57n62Rz8Wq4i7r1WUTIlLoB9vZpsHiS6M/SQNjNn3ZOjK3H26pJMVdX70NkjSDWb2FzN7fV9lmdlWZvZ9Rd+/7coc0i3pY+4+ufaIC2Nmwr6DQ1ViZttI2ibpEEWrE4aQ1JgP9jfV0Vkx2xdKqmSi4rgOza0VpkF8iaLvSG9tiiYUDuEESSNi9o2vtBAze7ui1Q/LWSVpnLv/ubrQXh0kcoTiO7/OLw1cDO0SSR9x99UBynpF0SqXZ7r702kLKyX0jlE02LCcL9VSrpltJunzCYec7u5/q7Zcd79R0hm1xNSXJjzvGsLMvijplIRDbpB0XkbhNMJfFK1EmWRHSb+QNN/MbjKzT5rZ3mZGv1U4Ia+7WSjEtb3kDElvSdj/U0mnuvuiWitw93nu/hVJe1f6Hq7hkjJu51WgaG3r/3L371eZnP+epHtidh+mDZNqCyQd2Ufit3f5r0g6SRsO3Ozp9ErLQtMpetsZAACg8MgzV4c8czzyzMnIM9cNeeb8Ic9MnjkOeeaNkWd+TZ5yFNUaH7P9jCrKiDs2ruxgCvSZF+J7X4VWeN6uxp4J+1p6QrYcCHX/LswzmJrveoN4QcfjFOieWi95G+chFe9+y1gPFEnR+68AAA1Cbro65KbjFbCvLIs2U1Kucl6gOnqam7AvVN40b8hN5w+5aXLTcchNb4zc9Gvy0KcaN9Gm1By5sUJ8bwokbvH4y939l2kLd/eF7v4/7h53X817PPXSbOdxK7S7KsX4hHxjjEJKObjeIF6wdkqLP0uvl7cxCkW71zI+AUUSrA+TibAAAL39WtJdMfvGKFrxppy1ks5w9646xJSlo83MK3kpWiVqkaTnJP1V0tck7ZJQ9v2SjnD3p+r/ZwRzm6Rv1vJGj1ZxixsMM1DS22sNqg72T9j3XD0qdPd/KGr8LIs55ExJz5nZw2Z2gZmdY2Ynm9mHzexsM/uBmd2uKGH/bZVvDK5WlAy7tB5/Qw4lPSQfFrCeSsoaHaiu5xP2HRCojrowsz0U/291ZYWdBVep/AQUUvzAiIq5+0xJd8bsDtXgjitnmqS7KynAzEzSD2N2u6TT3P3BGmKLCnCfLelUSeXu4btIOrHWsmM8L+lsdy/XWV01d1/n7kkDtmopc5biP7uDzSwpqRLnk5KGxey7zt2vqKFMSZK7X67oWSSYJjzvGsLMxkn6ccIhzyq6V1fcIVk07r5O0XNyJYZIerek30l6StIrZna7mf3IzD5kZjvXK84mF/S6m4WiXNvNbLCk7yUc8jt3/0qo77i7L68wLq7hkczbeQmK1ra+wd1/XuN742KVNmy3nuXuU6ot3N2fU/wg53eZ2YBqy0RTKGzbGQAAoMmQZybP3FPR2sK1Is/cHMgz5wh55j7LIc9Mnrkn8swbylOOoioeLZjyeJldbzOzPidQMbNNFD0f9DZT0h3pouuz7sJ85gX63leiVZ63q7FDwr6XMosCvQW7fxflGUxquusN4gV9Pi3SPbWO8jTOQyre/ZaxHiiawvZfAQBygdw0uemeivbsXqss2kxJucrFgeroaUnCvlB507whN50j5Kb7LIfcNLnpnshNbygPfapJubG4yVYLo0Dfm6J4fcz232QaxWvyFk9dNNl53CrtrkoxPiG/GKMQSIvfN/Mq2PnNs/Sr8jRGoWj3WsYnoGiC9WEygTsAYAOlieXOkrSyyrd+u/Tggg11KfoR1IclvamWB8IGWqdoQEqayQavVfwPxw9KUW5ocZOBdihaiakuSj+u30/xq3CbpDdI+n+KBhZdIelqSb9X1OA6VvGreN0t6SB3vyxkzDn3tKQVMft2NrNQAxgqWQkxyOCF0qS3i2J2jwlRRx0lDS64pJIC3H2JpH/E7H6XmW1ZdVQbGx+z/fVpzxkz217Sm2N2X1LF9fUdksbG7Puzu99QbWy9ufsESX+M2f3xtOX38onSuZ1r7n6vpJtidr+jhiLjrh1rJH2xhvJ6+6KiwaShNNt5lzkz20HSNZL6xxyyXNIJ7h5372oapcE5P63hrSMUPe98VdG/5VQzW2Bm15nZ58wsqUMcrynEdTcLdbi2n6T4RPsLatwK0lzDIw1p55VRtLb1akWDLmvi7g9Imt7HYVe5+z9rrUNR27icQZL2SlEuCqrgbWcAAICmQZ45OPLM5JljkWcOjjxzvpBnJs8cpxD5DvLMTXfeZWl8mW39VNn948MqP5lCNdeMWrX8Z16H731fWul5uyKlHxVum3DIvKxiwUZC37/Hx2zP0zNY3TTgeoNkoc/vlr+nKj/jPKTi3W8Z64HCKXj/FQCgwchNB0duuhh9ZVm0mUYl7FseqI5Ky9ysDvXlAbnpfCE3TW46DrnpDZGbLq9hfaql3Nh2CYeQG4vRwrmWuIXjG7VwU97iKRTGKDQW4xNyjzEKAbXwfTOvQp7fLfss3UtexigU7V7L+AQUTsg+TCZwBwBsxN2nKZoksVL3S/pZncIpsmcUTej3Lne/NtQquxm6orSaVc1KDy1xD8IHpik7sDEx2+fUu0PD3We6+zslvVHSpZJeSVHcMkWNh6PdfVyrDShy905JtyQc8tm0dZjZjpKOr+DQoWnr6mFWzPYxAesIysz6Kz5R+7S7P1ZFcXErmg1IqKMa1yt+sE/aVS9PU/k2lyv+7yrnEzHb10j6bpUxJfm5oth6G2dmWwWq45FSJ21RxK3oflQ1hZjZ7pLiVhC9sbT6aCru/rKkv6Utp4dmOu8yZ2aDFV1ftog5xCWd6u5JK/Q1m69J+l2AcraQ9AFJF0qabGZTzOy/zWynAGU3o6Jdd7MQ5NpecnbCvs+4++oaygyBa3hkTMz2urfzeila2/oyd1+Ysoy4yePWq3VF5fXulrQqZl9VK9yiqRSu7QwAANCMyDMHQ56ZPHOfyDOHQ545P8gzv4o888aKlu8gz7yxIp53Wbtc0Q9/eqvkmnJGzPbxtQZTBT7zSMgcZF9a6Xm7UkMVv0CRJKXNfaE29bh/F+EZrN6yvN4gXj3Ob+6p+RnnIRXvfstYDxRV4fqvAAD5QW46GHLTxekrGxOzPWSbKSlXGfc8n0ZSmSHzprlBbjo/yE2/itz0xshNb4zcdP76VIcpusbEITeWrBVzLUNitndlGsVr8hZPETFGoXEYn5BfjFGoj1a8b+ZR6PO7lZ+lexoTs525KJIxPgFFFaQPkwncAQBxfifp9gqOWyPpzAIm5rOwl6KVieab2fk5aTRU4/eBypkcsz0uidMIcRN+pmrYVOkJSdcpWnmu1o7lRyVNkPRCqKAKKG71K0k62czGpSz/15L6VXBcUodrteLOwzxPVPtOxa98e2mVZf1b8Z3UZ1ZZ1kZKE6teG7P7RDMblKL4uA7Xe0oDBftkZpso+vcs59q0HTA9ufsLku4rF4biV+6s1l8ClZOV+2O271dlOUn/ftV+J5IEKasJz7tG+K2kgxP2f9/d41abbUru3u3un5b0UUlLAha9q6T/kTTNzC5nIveNFO26m4Ug13Yz21bSoTG7n3H326qKKhCu4RvIQztPKl7bOm4162o8nbDvSXd/OE3h7t4lKW4iOVY9bl1FbDsDAAA0K/LM6ZFnjkyO2U6eeUPkmcMgz5wP5Jkj5Jk3VrR8B3nmjRXxvMtU6Qct/yqza28ze0Pc+8xsF0lHltk1wd1fChVfTN185q8J9b2vRCs9b1cq7gf+663JJAr0Fvz+nfdnsIxkeb1BvKDnN/fUV+Whn2W9ot1vGeuBoipi/xUAIF/ITadHbjoyOWZ7nvrKsmgzJeUqOwPWs165RU3XC5k3zRty0/lAbjpCbnpj5KY3Rm46f32qg/vYvzZURWZ2rJm9L8ArT4uztGKuJe433YdkGsVr8hZPETFGoXEYn5BfjFGoj1a8b+ZRsPObZ+kN5GWMQtHutYxPQFEF6cNkAncAQFmlFYA+JmlFH4d+q/SgjHgjJH1N0ktm9rFGB1OhlZKqWR06yVMx2zcNVH4IcUnWxfWu2MyGmdlXJE1TtGrwR1VZcrycN0v6jaQZZvYHMxsTJspC+bukl2P2maTxZhb3eScys89JeneFh4ccvLAoZntNf0dGzorZ3i3psmoKcvcOSVfG7N7bzN5YTXkxxsds31TS+2op0MwOlbR7lfWV82bFn0/XVxNThSbEbD88UPn/CFROVubHbB9jZtV8z+MShu2SQk7we2upzLSa7bzLlJl9RtIZCYfcJOl72USTP+5+qaTdJP1Efbc1qmGSTpH0nJl9z8zo84oU7bqbhVDX9rcrOu/K+W11IQXFNfw1DWvn9VC0tvUKSZMClPN8wr57ApQvxSfNRgUqH8VTxLYzAABAUyLPHBR55vI2DVR+COSZmwd55nwgz0yeOU7R8h3kmTdWxPOuEcbHbD8j4T1nqHzOKq6skPjMXxPqe9+XVnverlRfk1SsyyQK9Fav+/f4mO2bqvHPYFnI6nqDZKHPb+6pkTyM85CKd79lrAeKrIj9VwCAHCE3HRS56fI2DVR+CFm0mQYk7Mt6AvekWIqO3HQ+kJsmNx2H3PSGyE1H8tanmmVu7EJJNwR4bRkwprRaMdcyPWb798ysf5aBlEyP2d6oeIqIMQqNw/iE/GKMQn204n0zj0Ke363+LN1THsYoFO1ey/gEFFmQPkwaLACAWO4+w8y+KemXMYc8IukXGYaUhacl/XcVxw+TNFJRh/EBkt4gaZuEY/9kZkdLOrO0Sk9ePezuoRLqcQ2SAWY2xN3zsHrgsJjtdY2t1KFymaRdAhc9UNInJJ1iZl909xCrVhWCu3ea2bmKXzluJ0n3mtlx7j690nLN7IuS/q+KUEJ+v+POw7jztqHMbEtJ74rZfXuNK+1dLOnzMfvOkvRQDWW+yt0nmNmLknYts/t0SVfXUGzcaperJF1XRTlHxmzvknRLVRFVJm4Fuv0DlL3A3WcFKKcmpYTddpK2UHTvHqRoMFfc5LuJxSlqfM+s8Ph9YrY/XRqgE4S7t5vZM5LGpiyqmc67TJnZkZJ+nnDIC5JOKw0UblnuvkTSV83sfyV9RNKpkg5Tbd/H3gZL+o6kg83sZHdfHqDMomrodTcLDb62Jw2gvLmG+kPhGv6ahrTzeila2/qRQH0VSxP2PRCg/KQ6RgYqH8VTqLYzAABAsyPPXBHyzH0jzxyDPHN45JkbjzzzBu8rhzxzg5BnrkoznXeN8k9JCxWdbz2dZGb/5e4b/MjTzEzRIi69rZZ0TX1C3EBTfuYN/t73pdWetyvV3cd+FoDPXt3u3zl/BqtKzq83iFeP87sp76k1yMM4D6l491vGeqDICtV/BQDIJ3LTFSE33bci9JVl0WZK+q1TiN/79JbUb9e0v7siN9145KY3eF855KYbhNx0VZrpvKtFX/fJlsmNkWup2J2SDi2z/U2S/m5mZ2d8/ctbPA2V8/O41dpdlWB8Qj4xRqECOb/eIF7o87vVn6V7ysMYhaLdaxmfgCIL0ofJBO4AgL7EraojSc+4e18dC0WzyN1vrPXNpR9FvUXSFyS9M+aw0yS5mZ2R48k741bvrsWKhH0jlf2g6nIyb0yZ2UcUJWT7JRz2gKIV0O6VNENRI6lT0mhFnRiHKTrfjo8pZ5ikP5jZQZI+nePzLbTxijqrjo7Zv6ukJ8zsB5IuTGpcmtk+kn4m6bgqY1hb5fFJ4uIbZGb9cjgQ6qOKb2dcUkuB7j7RzJ5S+QTwSWb2hQCdBBdL+p8y299qZlu7+7xKCzKzQZJOjNl9nbuvrCKuA2K2T6tTEmJBzPYQE4BMDlBGxcxsG0nvlnSUosGFr1PUeRzKaFXemTwmZvvkIJFsXObYlGU003mXGTPbVtK1ij/PVko6wd2XZRdVvpUmV/+tpN+a2daS3irpWEXPOLsp3QDPd0q6y8yOdPfVqYMtpsmNDiC0nF3bx8ZsX+TuL4YJpyZcw1+Th6RZ0drWoRLlSc+7oZLEcXWMCFQ+iqdobWcAAIBWQJ65CuSZyyLPXAZ55roaL/LMjUSemTxznMkByqhYznIRY2K2Tw4SycZljk1ZRjOddw3h7h1mdoWk/9dr12aS3qMoH93TsZJ2LFPU9e6e9CwVSlN85jn73vel1Z63K9XXM9SgTKJAT5PrXH5en8H6qqtI1xvEm1yHMpvinhpAHsZ5SMW73zLWA0VWtP4rAEB+kZuuArnpsorQV5ZFm6k9YV895qVJKjMplmYwXuSmG4ncNLnpOJMDlFGxnPUZj4nZPjlIJBuXOTZlGc103tWir7+xaXNjOfveFMlVkr6u8r/ZfoekF8zsakX3mnszuHfnLZ5MFew8brV2VyUYn5BPk+tcfl6fxfuqq0jXG8SbHLi8Vn+W7ikPYxSKdq9lfAKKLEgfJqv1AAAQkEdudfd3KUrgxXW8fFTxKynnwSsBy0p6cM9Lx9PQmO11aUyZ2QeV/KP6RyQd7u6Hu/t57n6vu89091Xuvs7d57j7RHf/tbufoGiC08sTqvykpF+E/SvyqzQo6KOS5iccNlzS+ZIWmtkNZvZ1MzvTzD5sZp8xsx+b2ROSnlT5gQtPS5qUUH7IwQtJk87mcQX6M2O2r5R0fYpy4wY+jJD0wRTl9iy/3IC8fooGnVXjvZJGxewbX2VZu8Vsf67Kciq1JGb7VqXVNNOouNM5DTM7zsz+rahD5g+STpW0u8J2JEvS4ArjGaio47mc2eHCCVpmM513mSh9zn9VNPFNOS7pdHd/JruoisXd57n7Je5+hrvvrug6eoykLyl6znm+hmIPkPSngGEWTSbX3Szk7dpesnPM9kdCBJIC1/DXZNrOi1G0tnWoeJPaQ/WuIy/9DMhe0drOAAAAwAbIM5dFnrkX8sz1RZ654cgzk2eOQ555Y+SZI3nOUaQxPmb7GRVuSyojtEJ/5nn73leo1Z63K9XXou55fPZpdvW+f+f1Gaysgl5vEK8e53eh76kB5WGch1S8+y1jPVBkReu/AgCgKZCbLqsIfWVZtJmSJk0fGLCeSsps6gncyU03HLlpctNxyE1vjNx0JG99qn3d/+OeGworb9+bonH3JxT9Bj7OEEXjD+6UNN/MrjKzT5vZPmYWfH7CvMWTlYKex63W7qoE4xPyiTEKPRT0eoN4oc/vVn+W7ikPYxSKdq9lfAKKLEgfZqMvXAAANC13v9TM1kq6WuVXfjzPzG5y96kZh1aJ5RnVU+7fJU+Cx2dmO0n6s+J/VP8HSZ9z94oHGLj7NEmnmtmdkn4fU/bnzOwud0+TPC4Md59pZu+SdKviO66k6MH5faVXpRZKer+kyxKOWVRFeX1JOg89YD2pmdmhkvaK2f1Xd++rMzrJZZJ+qPLn91mSLk1R9vpz5k5Jby6z+3RJP6miuNNjtk+TdHelhZQSSNvE7H63mWX5+bcpGigS1zFWiWWBYinLzLaX9EdJb69nPT1UOvAsaeW9etxvU5XZhOddVn4l6dCE/T9slXtwKO6+TNJdpZckycy2kjRO0gcUrfY7pIKiTi49c18ZPsrcq+t1Nwt5vbaXBqZtHrN7TrhwqsM1vGJZtkOL1rZOWlk5lHrXkfd+BtRPYdrOAAAAQF/IM1ck7+0/8swFRZ65Mcgzb3B8OeSZ6yivuQiRZ04jzzmKPrn7ZDObLGlsr11vM7Ot3X2eJJnZCEX3ld5mSLqjrkGq2J95jr/3leB5uwx3X2tmKyVtEnPIVlnGA0l1vn/n8RmsnIJfbxAv6Pld5HtqhrK+LxXtfstYDxRZYfqvAABoVuSmK5L359WQ8a1M2BfX95bG8IR9WbR1GorcdGOQm97g+HLITddRjvuMyU3XriF9qu6+plVyYzn+3hTRpyQdJGnnPo4bLenE0kuSlpvZQ4p+632npEfcvbMJ46mbgp/HtLt6YXxCbjFGQYW/3iBesPObZ+mKMRdFPMYnoMiC9GEWdkUpAACKwN2vlXR5zO6hkr6aYTjVyFVCNAOrYrZXMilotX6j+ETWdZI+Vc2P6nty9z9L+q+EQ35nZi2zWqO7PybpaEnTAxY7R9Kb3f0FJa8+PDdgnUnnYZrBAPVwVsK+i9MU7O5zFQ1GKedoM+srOVOJ8THb9zazgyopwMy2lvS2mN2XuHs119cRCr+CZRppV7+sW6eRmR0uabKy60iWKu+QSfp3y93gBTXfeVd3Zna2pE8kHHKzpG9nFE5Tc/f57n61u39YUQLzm6qsQ/7bRV5VPYWsOuvrIufX9uEJxy4NE0pNuIZvKMt2Xpyita2ziLdo/yYojiK1nQEAAIA+kWcuDPLMTYg8c0OQZybPnIQ888bIM/et0TmKtMaX2dZP0qk9/vvDKn9PqfaaUatCfuY5/95XotWet6sxK2Ff3A8PUT9ZjFcYH7O9Uc9gvcsu+vUG8UKf34W8p9ZJHsZ5SMW73zLWA0VWpP4rAACaFrnpwsiizbQ4YV/S5L61SiozKZamQW66IchNk5tOQm56Y+Sm+9aoPtVMcmPuvo+7WyUvpbyO9pbz703huPtiScdJerrKt44ove8Hku6XtMTMxpvZcWZWbtGSQsZTL01wHrdau6tSjE/IH8YoFP96g3ghz2+epTeUhzEKRbvXMj4BRRakD7MVJ68CACBr/5Ow71QzG5lZJIgT9/AUtDFlZvtIemfM7oWSzkz7Azp3v1DSf2J2b6Hk5HLTcfcnJR2gKOGTtnF2q6QDS2VK0uYxx3VJmpeyrp7izsN17t4VsJ5UzGyoXlu5treZilaxTeuSuOolnRmg/OsV33F1RoVlnKroR7O9uapPPGb9o5O+pO2Eq8vqxWZ2gKIJskfXo/w6q0enUdoym+28qyszO1TSLxMOeUnSKe7enVFILcPdV7j7DyXtofhnn/X2lPSe+keVO7leNT5JAa7tSdfKpVkFUQbX8A1l0s4DkBuFaDsDAAAAVSLPnH/kmZsUeebskGd+FXnmeOSZN0aeuW+NzlGkdbmkjjLbT+/x/88os7+Wa0atCveZF/x7j77NSNi3e2ZRYL0sxivk7RnsVVxvml7o87tw99Q6YpwH0HoK0X8FAECLIDedf1m0mZImTd8yYD2VlLmkDvXlErnp7JCbfhW56XjkpjdGbrpvjepTnZmwb7fMoqiTgn9vcsvdX5J0qKSfS1pXYzHDFY1duEXSs2b2ETOraQ7DvMUTGudxU2N8Qv4wRoHrTTMLeX7zLL0hxigArSVIH2b/QMEAAIAY7v6CmT2raOLI3oZJOlbSDdlGhV5WxmwP3Zj6ZMK+H7t7XBzV+rbiV9z7pJInmm067r5U0hlm9itJX5H0PkkDqyhikqQfuPtf128orb4a13H1oruX+xFlreLOw7hV3Brlg4pW2ivnKUnvNQuyeGK3yi9EdbqZfTfNJMnuvtrMrpX0sTK7TzazL7l7ex/FnB6z/R53n1ZlSHlrr+Vu9UszGybpWkXJtSQvSLpH0YqhL0maI2mRpBWS1krqjJvYxMzSDgZIShjGfWfSSDsokvOuQma2laTrFH9PWS3pBHd/JbuoWo+7LzSzd0m6UdK7Ew59Z+kY5FxBru15XbWVa/iGsmrnAciHorSdAQAAgIqRZy4E8sxNjDxzZsgzl+KI2U6euQ4Kkosgz5xO7s67arj7IjP7p6J7T0/7mNnBkpZJOqLMWyeUfuCchUJ95gX53iOdJxX/LLtPloEgGzl8BpPE9QY1KdQ9tc4Y5wG0nqL0XwEA0PTITRdCFm2muYrPqW0dsJ71tkrYN6sO9eUWuenMkJsuxRGzndx0HRSkz5jcdDqNOu+ekvTWmH17ZxlIaAX53hRWaazhf5nZBZI+q2gy4W1qLG43SZdJ+pyZnejuSZNaFyKeUDiPmx7jE1pQDp/FJXG9QdV4lt4QYxSA1hKkDzNvF1IAAJrVPSo/eEGSjhSDFxptnsqvJBu3unitjk3Yd3WoStz9ETObLmlMmd17m9kW7r4wVH1F4e6PSjrRzDZVNInrEZL2k7STooEIgxV1Ki2R9KykByXd5O6PlCluJ8U/Sz8dNnJtEbN9buB60jorYd87S6962lHSWxStjpvGeJXvMB0t6V1KuF6b2YGK71AfX0Msa2t4T6v5sqRdEvZfomjikpq+l6WBSmktS9hXj8ELacvkvKuAmQ1QNHn7dgmHneXuT2YUUktz9y4z+4iiZFHc81vScxjypQjX9qRr5aYByq8V1/ANZdXOA5APRWk7AwAAANUiz5xv5JlbAHnmuiPPTJ65EYqQiyDPjPHaeAJ3STpD8efH+PqEUlbRPvMifO+RzmMJ+95oZv3cvSuzaJCV8crPM9h6XG9QraLdU+uJcR5A6ylK/xUAAK2C3HS+1b3N5O7tZjZb0g5ldu8Yqp4edkrYN7UO9eUeuem6IzdNbroRitBnTG66mCYm7DvEzCxuEtYCKML3pvDcfaakr5rZNxQ97x8r6RhJh0gaVGVxb5Q0ycyOcffHmyGeADiPmxvjE1rXeOXnWXw9rjeoBs/SG2KMAtBagvRhMoE7AADZSFrtu9ArmDaJ6ZLeVGb79qEqMLORih/AMsXdXw5VV8ltkj4es+9QSTcFrq8wSqvRX1F61WqPhH2Ppii3nLjzcHrgempmZrtIOqrRcSgaQJFq8IK7TzCzFyXtWmb3GUoebHZGzPZViiZ6rlbcSn2SdK+kn9VQZhoLMq4vkZkNlPS5mN0dkj7q7lelrGZUyvevH7y2RNJmZXYnTf5dq21Tvp/zrjI/V5QAjvNTdw82aQ765u7Lzexnks6LOWQXM9uktBp7HjR6NdhcKsq1XdJySa7yn+OmAcqvFdfwDU1Xndt5AHIl921nAAAAoEbkmfNtusgztwzyzOGRZ95gfznkmeugKLkI8syp5eq8q9G/JC3Uxj8YOFnS6jLHr5Z0bb2D6qEwn3lRvvdI7YGEfSMlHSip3CRGrahpxivk7BmM600+FPH8Lsw9NQPTxTgPoNXkvv8KAIAWQ24636YrmzbTSyo/gftwM9vK3ecHrKtcn44U9aMknY9Nj9x0eOSmN9hfDrnpOihKnzG56dQadd49mLBvc0n7Snoio1iCKcr3JmN1zX2UJpm+u/Q618wGKZo0/cger0oWXhgl6Z9mdlCaZ8a8xVMLzuOWwPiE6hQxh1tWzp7Fud40XhHPbZ6lNzRdjFEAWkmQPkwmcAcAIBuLE/aNziwKxJkes31rM2tz9+4AdWyt+Ib3jADlV1PmNnWor9UckrDvzsB1xSU363He1Oos5aNj6X1mNsrdX0lZzsWS/qfM9neY2RbuvrD3DjMboOhHsuVcV8uEwe6+xsxeUfkOzVXufmO1ZTaZ4xR/D/1OgI5kqfyAg1pMjylrbKDyezogzZs57/pmZqdL+kzCIbdJ+npG4WBDf1f8BO5SNLlBXiZwH9noAHKqENd2d+8wswWStiqzO+0gsppxDd/I9JjtIdt5APKjCG1nAAAAoBbkmfNtesx28syIQ555Q+SZyTM3QiFyESXTY8oaG6j8nsgz50wpH3W5pC/02rWZyp8Xf3X3FXUPrKRgn3mRvveokbvPMLOnFT+Z2AniB9LrNdt4hVw8g5VwvWm8wp3fBbun1tv0mO2M8wCaVxH6rwAAaCXkpvNtesz20G2mJySNi9m3r6Qgk1+a2RDFT+D+tLt3hqinxZGb3hC5aXLTjVCkPuPpMWWNDVR+T+SmA3D3l8zsBUmvjznkvSrgBO4q1vcmK5nmPtx9naIJXO+VJDPrJ+kwRefUSUqe0HQ7SedKOqdZ46kQ53GTY3xC1QqXw+1DLp7FS7jeNFbhzm2epTcyPWY7YxSA5hSkD7MtQCAAAKBvSUm9TbMKArGmxWzvr+gH8SEkdUgsClRHTxt16PTAgJn0yq2eJknLFXD1eTMbrPjPK+68zZSZtUn6aKPjKBkk6SMByrlEUrlOlAGSTol5z7sUrUhdzvgUscR9znyP4weDLZb000B17BConKditu9T6mwPolTWXgGK4ryLYWYHS/pdwiEzJJ1UWuEbGXP3pxWtBhwn7jrd07qEfYOqiygRyaryxsVsz+O1Pe5a+YZA5deKa/hrsmjnAciBIrSdAQAAgBTIM+cbeWZUizxzCXnmV5Fnzt64mO15zEWQZ8b4Oh0bSlE+83Ex2/P4vUc6NyXsO8nM8jA5TxLGK9QmT89g42K2c73h/O5LUe6p9cY4D6CFFKH/CgCAFkRuOt+yajNNTNh3UMB69pfUr4YYUDly0yXkpl9Fbjp742K257HPmNx0MSXlxuImic27cTHb8/i9aYnch7t3ufsEd/+KpDGSPixpasJbPm5mW7RKPDHGxWzP43mM2hV9fILUItexOsjTs/i4mO2tfr3h3E7Gs/RrGKMAtIiQfZhM4A4AQDaSGijtmUWBOJMT9u0RqI6kzrWBgeroKWSHAXows5GKH7xwg7t3Bqxuz4R9kwLWk8bblLwybdbOSluAu8+UdGfM7jOq3D5N0t0pwpkcs32X0sCRVha3Iu3fAn4PDw9UzsMx2wdKekugOqRohdQQ95TJMdtb+rwrJWivlzQ45pA1kk5w98XZRYUykv79KxkstCxh3/AqY0mSp3tnnhTp2h73LLa5me0aqI5aTI7Z3orX8MkJ+0K18wDkQxHazgAAAECtyDPn2+SEfeSZsQHyzBshz5y8nTxz/RQpF0GeucW5++NKft5Yb4birz/1NDlme94+8yJ975HOJQn7dpb03qwCqRHjFWqQs2cwrjfxOL+TTY7Znrd7ar1NTtjHOA+g+RSh/woAgFZDbjrfJifsC9lmui9h31EB6zm6xhhQAXLTGyE3nbyd3HT9FKnPmNx0MSXlxvY0s+MyiyScIn1vWi73UZo8/VpFC/vE3ecHKOx1ozDx9FCk8xi1K/r4BKkFr2Mh5OxZnOtNeZzbySbHbG+1Z2mJMQpAKwnWh9lqF0oAABplx4R9r2QWBeI8JWltzL79AtWxImFf3Cp5aSStArqyDvW1kpMVPwHsFYHrijv/XNJjgeuqVdJggTe6u9XjJemPMXUeYGb7B/i7xsdsH2tmG3wuZra5pHfGHH+Ju3uKOB6M2b6ZpLEpym0G28VsnxKwjiMClXN7wr7TAtUhSR8NVA7nXS9m1l/S1UpeIfZsd8/LwLJWNixh36q+3uzuqyXFJaSCPLOVzqdDQpTVhIp0bY+7VkrS2wPVUQuu4a/Jop0HIB+K0HYGAAAAakWeOd/IM6Ma5Jk3RJ6ZPHOjFCkXQZ4ZUvx1pae014xaFeUzL9L3Him4+7OS7k045Nt5/qEh4xVSGR+zPetnsCJeb+L+3qTFxKqvhPO7L0W5p9Yb4zyA1lKE/isAAFoNuel8y6TN5O4vKlo0tJyjzCzUguBvTdh3a6A6Whm56Q2RmyY33ShF6jMmN11A7v6EpAcSDvl2VrEEVJjvTSvnPtx9qaTTEw7JdLLfvMWjAp3HqF3RxydIrX0dC2B8zHbGKCRjfEI+8Cz9GsYoAK0jWB9mrh/wAABoIkmrgU/NLAqU5e4dkh6P2R2qMTU7Yd9eZha0M0HSPgn7Xg5cV8sofU7nxOyeIum2wFXGnX8vlhIJDWVmoyW9J2b3FHePW3E7hMsT9n0sQPnXS1oes693AucUlR/Q4pIuThnHPxXfCdnIyWHzIG6S5sUhCjez7SS9OURZ7v6cpOdidr+vVFcqZra9wq3Ey3m3sR9LOiZh/y/c/bKsgkF5ZraJkle9nVVhUUtjtic9X1XjYCVPNN/KCnNtl3Sz4q+Vnw5URy24hpdk1M4DkA+5bjsDAAAAKZFnzjHyzKgUeeYNkWd+FXnmxihMLoI8M0oul9SRsD/ENaNWRfnMC/O9RxA/Sth3oKSPZxVIjZbGbGe8QrK8PIMV8XoTd48ZHLgeifM7SVHuqXXFOA+g5eS6/woAgBZFbjrHMm4z/Ttm+yaKn3SuYma2leLPt6fdnbx0CuSmN0Ru+lXkphujMH3G5KYL7acJ+95kZqdkFkkYhfnelCyN2d70uQ93f1LS5JjdW2UYiqTcxVO08xi1K/r4BKmFr2Mp5eVZvGjXG8Yn5APP0iWMUQBaSrA+TCZwBwCgzsxsb0m7JRzyaFaxIFHc6mBBGlPuvkTSopjdmyvqfAuitErbsQmHPB+qrhZ0sqR9Y/b9zN27A9cXt4p63PmatVMlDYzZlzS4IIR7FD9JxClmFhdXRUorKl4bs/sjpe/ZemfEHHePu09LGcccSffH7P6cmQ1JU37BrYrZvmmg8s+R1L/Poyp3acz2IZJ+HqD8CxSoY5rzbkOlAQpfTDjkbklfzigcJEt6/lni7pUmm56N2R7qea2Rk3vnXWGu7e6+QPGro+9lZg0ZAME1fCN1becByI28t50BAACAmpBnLgzyzKgEeeYNkWeOnBFzHHnm+ipMLqKEPHOLc/dFin40FWeCu7+UVTw9FegzL9r3Him4+z8l3ZdwyE/N7PVZxSNJZtZmZidWeDjjFWqQl2cwFfN6ExfzJoHrkTi/YxXonpoFxnkArSPv/VcAALQUctOFkVWb6cqEfSEmIDxDUr+YfVcEKL/VkZveELnpyBkxx5Gbrq+i9RmTmy4gd79eUtJiFBea2U5ZxRNA0b43rZ77mBKzfVSmUbwmL/EU7TxGjZpgfILEdawmeXkWV/GuN4xPyAGepTfCGAWgNQTrw2QCdwAA6u/bfey/NZMo0Jf/xGzf38yGB6rjgYR9IRvmp0kaEbNvqeJXQEYCM9tc0s9idk+VdFHg+gZIOjRmd9z5mrUzE/bVdfCCu7viBwONVphVuMfHbN9KpVUDzWxfSQdU+f5q/SZm+9aSPh+ojiKKm6wk9YqXpWT0Z9OW08vvJa2O2fehNKuYm9lHJH2g1vfH4LyTZGb7S/pjwiGzJH3Y3TszCgnJTkvYN6GKch6L2f5OMxtURTkbMbPtJZ2UpowmV7Rre9L14TdmNjRwfZXiGv6aLNp5ABqoIG1nAAAAoFbkmYuBPDMSkWcuizwzeeZGKlougjwzJOmTiq4Z5V7V/OiyHorwmRfte4/0viCpK2bfcEk3mNnoLAIxs00k3aDKn9sZr1C78THbs3wGK+L1ZmHM9jF1qIvzO1kR7qlZYJwH0AIK0n8FAECrITddDFm1me5VlMcs5x2l31rVpDQJWFw7t0vSZbWWDXLTMchNk5tupKL1GZObLq4vSIpboGO0otzYyOzCSaVo35tWz33E/Y1rMo3iNXmJp2jnMdL5goo7PkHiOpbG+JjtjFGIx/iE/OBZ+jWMUQCaXOg+TCZwBwCgjszsNCX/SOpRd49bsQvZukvlO177SzoyUB3/SNh3upntlbaCUofauQmH/KuU9K2l7Olm5jGvcbWUWRSlh/CrFHWUlfMld18XuNo3SBpWZnu3cjB4wcwOUvzKUg+7+4sZhJE0QOKstIW7+wRJcX/H6b3+t7dVkq5LG0PJtQlxfN/MjglUT9G8HLP9nWlWdDSzNkkXK36Ckpq4+2JJFyYccrGZvafacs3svQo3UKanlj/vzGwzRUmquAmY10l6v7svyC6qYjGzvc3splJyqd51HSfpgwmH/L2K4uISMiMlfaiKcjZQur6MlzSw1jJaQKGu7ZKukTQ9Zt/rJf00cH2VavlreA93qf7tPACNleu2MwAAAFAr8syFcpfIM/dVNnlm8syvIs9MnjkHCpWLIM8MSXL3Be4+OeY1t8HhFeEzL9T3Hum5+6OSfpRwyF6SbjGzLesZh5kdLGmSpGqu04xXqFFOnsGKeL2ZHrN9qJm9PnBdnN/JinBPzcJdYpwH0Apy3X8FAECrITddKHcpgzZTKS98Qcxuk/RzM7Mai/+apG1j9l3n7jNrLFcSuWmRm94AuWly0zlQqD5jctPF5e4PKPl3jAcoyo1lMoFwSoX63qiFcx+lGOMmJZ6eYSiSchdP0c5jpFDw8QlSC1/H0srJs3jRrjfTY7YzPiF7PEu/5i4xRgFodkH7MJnAHQCAOjGzj0n6Ux+HnZ9FLOibu69R1KAqJ1Sj8jrFrzzcX9LfSyuc18TM+km6WtJOCYddXGv5rarUKXWdpDfHHPJXd7+xDlWPi9n+qLvHrYKYpaTBAXVdeX49d39C0lMxu99qZtsFqCbuO3N8qZP8IzH7r3P3lQHql7t3SPpKzO6Bkq43s7hVvlIxs53N7P31KDuAO2O2by7pq7UUWLqO/kHS0bUG1YcfSJoVs6+/os/y56VJUhKZ2SZmdoGk60vvXW9Z6ijFeVfqOL9S0s4Jh33a3R/JKKSiMknvljTZzK4rJf/CV2K2v6RLEw5ZoSiJUKmbJbXH7Du/ku9ojPMU/zyBSKGu7e7eLuk7CYd82sx+HKo+M6so0dnq1/CeMmrnAWiscTHb89J2BgAAAKpGnrlYyDMjDnnmWOSZyTM3WqFyESXkmSuQ8/OuaRXkMy/i9x7pfU/SvQn7D5T0qJm9MXTFZjbczH4i6X5Ju1b5dsYrpNPoZ7AiXm+eVvRjtHJOClwX53eCgtxT645xHkDLGBezPS/9VwAAtAxy08WScZvpz5LmJ9QV14aNZWZHSPpWzO5uca7VjNx0LHLT5KYbrYh9xuSmK5DT8+47kh5I2H+IpIlmdnhG8dSqaN+b3Oc+zOyQ0vd2xxDl9XCSpB1i9j1UlHjqpGjnMdIr6vgEqQDXsZxr9LN40a43jE/ICZ6lX8MYBaAljIvZXlMfJhO4AwAQkJm1mdnbzOw/igYuJK2WdbuihAPy4+8x248NUbi7L1HUSRFnF0l3m9le1ZZdWvH2JknvTDhsorvfUm3ZRWRmx5vZD8wsrpO90nL2VdRRGbfK5MuSPpGmjgRxHTZx52lmzGywpJNjdncpmuAhK3EDJdoknRGg/EtUvgNwkKS/SNo65n3jA9T9qtIAmStjdm8q6V4z+1apMzSV0r3sWDO7QdGKiaekLbNObpXkMfu+Y2YnVlOYmY1UdO5+LG1gcUqd6Kcq+p6U00/SFyRNNbPflp4pdjWzYaXBCrua2TvM7PeSpkn6f9qwXb9YUYdvqHhvVOuedz+U9NaE/b9x94uyCqYJtEn6gKRHzOw+M/uomQ1NW6hFPiLpbklbJRz6M3dfXmm5pQ62uPvtdpKuK90LK41zgJn9QdLXKn1PCyvitf1SSUnP2F8xs8tSTqC1pZn9SFFistK4blTrXsN7q2s7D0DD5bbtDAAAAFSDPHPhkWduEuSZ64s8syTyzHlQxFwEeeYYBTrvmloBPvPCfe+RXmkx7hMkvZRw2A6S7jezX5pZ0piDipR+GP0VSS9I+rKkAdWWwXiF1Br9DFa46427L5P0eMzur5nZOwLWxfndhwLcU7PCOA+g+eW2/woAgFZAbrrwMmkzuftqJU/2dr6ZVZzvNLNDFOWl+8cc8id3n1x5hMVHbrq+yE1LIjedB0XsMyY3HSPv5527r1N0L0jKje0oaYKZ/dnMdgpVd4/fPn4wQHGF+t4UJPcxVNH39qXS71wPMzNLU6CZHS3ptzG7V0v6V4HiqYdCncdIr6jjE6TCXMfyrNHP4oW63jA+IV94lt4AYxSA5ha0DzOugxsAgFa1uZm9r4rjh0oaqWjCyAMUrTwa13juaY6k0909rhGMxrha0i+08aCTg8xsR3efGaCO7ylK+sZ1qO2laHLTX0n6hbvPSSrMohXdPq5oMMQ2CYe6pM9VH25hjZb0TUUdNP+R9DdJN7n73ErebGYHS/qMpNMUJRPLWS7peHd/JUC8vevfTNJRZXa5MlrZvQ8nSBoVs+82d5+fYSxXKErWlkvMnKFote+auftMM7tT5Rti74p52zRFkwmH9ilJ+0nau8y+/pL+V9InStePi9x9caUFm9koRauFvUfR37VF6mjrzN3nmNk1ksp1GrdJutLMjpT0v0nnpEWTSJ+q6N+v9999r6Q3BQpZkuTud5vZFyT9MuGwLRR93p+qouhuSWcquv6VrbqKsnpqufPOzD6k5EGGiyTdVeUzY2jPuftzDaw/jcNLr9+a2T8l/UPS7e4+u9ICSsmf9yq6Vx/Sx+HPSjq/hjh/r/gBI2+TdI+ZfcbdH0mIs1+pjB8omkCpp8cl7V9DXE2tqNd2RdffRyRtG7P/I5LebWbnSxrv7vP6KtDMhkh6t6IVo98pabCkZVXG1XLX8BhZtPOAwjKzHSUdWOHhWybs27GK56NF7j6hwmNjFaDtDAAAgNZCnrm1kWduHuSZ64s8c4Q8cwMVNRdBnvk1RTzvWkRuP/Oifu+RnrsvNrO3SLpNG+fs12uT9FlJHzezKxU9I9zl7p2V1GFmgxR99icrGh8wInXgjFeoWaOfwQp8vblOUd9Eb0Ml/cvMJkq6Q9IURe2ZtTHlzHT3iX3Uxfndt9zeUzPEOA+gD4z1AACg5ZGbbm1ZtpkuVdRHcVyZfSbpD2Z2uKRvxP1GojQZ2hckfVfRBHblzJb0jbTBFhC56foiNx0hN91ARe0zJjf9mqKdd+6+qJQbu1XSrjGHmaSzJJ1uZn9X9Gzxb3dfXk1dZjZc0tsV/c73BEXPnKkV9HtTlNxHf0W/c/2IpJfN7DpFizU96u5xuZ/ece6kaKLoTyl+3sI/Vvjskbd4ginoeYyUCjw+QSrOdSx3Gv0sXtDrDeMT8oVn6QhjFIAEjE/YEBO4AwCwob0l3VDnOuZJens1k1QiG+7+ipn9Q9L7y+z+gKSfB6hjqZmdIukWxSfFhyr6ofx/lToW7pU0Q9Gqwl2SNlP0I/rDJR2myhIa57r7/SnDL6J+iia8fKek35nZS5ImS3pK0kJJSyWtkzRM0vaS9lTUcdTXqsGrJZ3g7nEr+6X1PpV/Vr/X3afXqc5qnJWwL9PBFaUOzQkq3+G3q5kd7e5pOy/HK34lrXIuqcfgNHdfbmZvlzRB8efoTpJ+IunHZvaspPsVrT64VNIrijpZR5ZeoxXd9/ZTtGJrEZ2rqLOz3PXUFCUwzjaz2yU9IOllSSsVXUe3lnSQokFkQ8q8f7mk0yVNDR20u/+qlJwOtVK8S/q8u99kZmfEHNNRU8Gted79sI/9m0u6JotAEnxP0eDFIhsq6UOll8zsZUX36BcUfVeXKLrf9pc0XNH5s7uic2es4gdu9vSKpA9Wmqzvyd1vM7O/KnoGLOcNkh4ys0mSblb0rPaKomTnFoo6H49TtLpsb3+QNFfFT8jUS+Gu7aUE5/GS7lR8wnukouvLeaXz5i5F58FCRef6SEWDQ3dT9DfsqxpXPO8RVytewzeSRTsPKLhjJV0UoJxjSq9K3K0o8Z7W+5TvtjMAAABaC3nmFkaeuSmRZ64P8szJyDNnp3C5CIk8s4p/3jW1AnzmhfzeIz13n25mb5L0byXn6AcrmjTkTEmrzOwRRc9+0yUtUvQc55I2UXR+7qroHD1ElY1fqCZmxiukM16NfQYr4vXmj4omCxsWs/9AVfYjvIsVTTgVi/O7bwW4p9Yd4zyAijDWAwCA1kZuuoVl2WZydzezUyVNkrRtzGFnSDrFzG5W1JadJalT0UQ9b1A0SVfcJNoqHXuiuy8JFXcBkZuuD3LTychNZ6eIfcbkpgt83pVyY0dK+qei8ydOP0UTr58gqav07zJRUb/8LEXn4VpFk1huUnptIWmP0ms3Vf7bxyWSVlXxZxTqe1PQ3McOkr5YenWa2dOSHusR2xJFn/8wRd+J3RXlRctNuNvTTEW/fy96PCEU6jxGGEUcn1CKu4jXsTwZL8YoVIPxCTnCs3SEMQpAnxif0AMTuAMAkK07JJ3l7jMaHQhiXaLyjakPKlBjyt3vMLPTFXUGxP24Xoqe1Q4pvdL4jaIVzeopeKK2DkxRx+Suil8hrxKLJb3L3R8KElV5cZ0/l9SxzoqUVsQ6Nmb3atV/AFg5lyt+xcazlH71yesl/VqVrUDqir7bdeHus8zsCEWd9vsmHGqS9iq9mpa7P29m/6VoJcM4AyW9o/SqVLuk97v7NDNLE2Isd/+hmc2Q9DtFk1PXarWkj7v7laX/jjtP19VaQQued/SVNMYOCtsJP1/Su939mRRlfEZR599mMftNlSeB1vuPpM8pSiyhjKJe2919Yml19JsVf85ItZ03aeJqtWt4nLq38wA0RG7bzgAAAEAdkGfOP/LMtSHPHFZu28rkmftEnjlDRc1FSOSZkW95/syL/L1Heu4+18wOk/RLSR+r4C3DFP34Z1ygEDoUTZJRDcYr1K6hz2BFvN64+0Iz+5qkXwUtOB7ndx/yfE/NEOM8gOaV2/4rAADwKnLT+ZdZm8ndF5jZ2yTdpWgSrnIGKpqo/T1VFt8l6VR3v6/2CKtCbjqs3D7bk5vuE7npDBWxz3g9ctPF5e7zS/8eP1HUd96XfpL2Kb2ChqLoevMVd19U8ZuK+b0pcu6jv6LJZ9NOQLtM0eIxrzRZPDUp6HmMAAo6PkEq9nWs0RijUAXGJ+QPz9KvYowC0JyC92G21fpGAABQlSWKEgtvZuBC7v1L0pwy2w8rJW2DcPfLFa2yNjNUmWWskfQ5d/9M2tX3zGyopG1jdi9StIJpK7hX0kH1HLhgZptJekuZXcslXVOveqtwpuLbEX9395VZBlNyreJX1v5gaZXvmrn76lIdlbjH3aelqa+CeGZLOkzSn+tZT1G4+4WKEhihrJT0AXe/PWCZZbn7FYpWjrxGtQ0C+4ekfXsMXJDKr94pSStqKP9VnHeoUVeD6r1b0iHu/miaQtx9vqQTFA0SCuGfihJV7YHKa1pFvba7+yOSDlbOno25hkvKqJ0HIDsFaDsDAAAAoZBnLg7yzGWQZ34VeWbyzH0hz5yxouYiJPLMyLc8f+ZF/t4jPXdf4+4fl3S8pJeyqlbRRED7uvtPqnoj4xVqlodnsCJeb9z916r/Al7r6+L8rkCe76kZYZwH0IQK0H8FAECrIzddHJm2mdz9KUWTnU0PWOwqSSe5+9WhCiQ3/Spy0+Sm+0JuOmNF7DNej9x0cbn7Onf/vKQ3S3oy6+oV5cjGuvuZ1Uze/moBBfvekPvQy5KOcfeJjQ6kJBfxFO08RjhFG58gcR1LIw/P4kW73jA+IX94lpbEGAWg6dSrD5MJ3AEAqB+XdKek0yRt7+6t3EApDHfvUPlOCVNlqxtWU9edipJW4yV1hyxb0n2SDnD3UCvOHSFpQMy+/2tQwjpL8xWtqjcugwFIpytavbC3P7l7quRjWhYti3hGwiGXZxTKBtx9iaKV/MoZKumkANWMD3xcKu6+qtRpf6ykSXWqZrqiTs+v1qn8YEpJ5M8oWsUzjcclHeHu/0gfVWXcfbq7nyhpD0k/lvRU0uGSnpP0f5L2c/fj3X1qr2M2jXnv/ACxct6hKu7+rKRdJH1Z0bNJ6Oed3qYpuk8d4+5BJi9y93skHS0pzf2/U9IPJL2nlIRDBYp6bS8lTg+T9HVFCcpgRStanKC2N7f4NTzLdh6AzOS27QwAAAAEQJ65gMgzxyLPTJ6ZPHPY41Jp9b7i3oqai5DIM5cxXQU571pBnj/zIn/vEUbpM9tb0ucl9b4WhrJW0sWKJqV4v7s/X0shjFdIZXzg46pWxOuNu39b0jhFk3zVuy7O7wrk+Z5ab4zzAJpWbvuvAABoYeSmC6gRbSZ3f1LSwZJCTLj+iKRD3f26AGX1RG6a3DS56bDHpdLKfVvlFLHPeD1y0xuZroKcd5Lk7ndIOkDRtXFynatbIukCSXuUcmRPpCmsaN+bHOc+5qp+34cORd/3vd290jryFk9dFe08RlhFGp8g5fo6VgTjAx9XtaJdbxifkD+t/izNGAWgKdWlD5MJ3AEASKdD0mJFHSWTJP1d0rmKVsHbxt2PdffL3H1NA2NE9X6vaAX33j5mZv1CVuTuy9z9TEmvk3Se0iWX1nesHeruR6bpWCtjXMz2RZJC/Xg/pL8pavz+VdGKR7V6QtLnJO3i7r9x93pPPCtJHy+zrUvShRnU3ZdjJY2J2bdY0n+yC2UjSQMnzkpbuLtPkPRiH4etkhR64FCi0gQdB0l6q6TrJaW533RLekxRAv1oSa9z92+XSY7nkrv/RlES+QpF35lqPC/p05IOTpsQrpW7v+DuX3P3fSUNl3Sgos/1eEUrnB8oabi77+nuXy4NfCtn35jtswPGynmHirn7VHf/P3c/UtI2igb2/kHSM4oG5KS1QtGqxO+RtKu7X+zuIcp9lbs/KmkfRc9q1TxXdEu6UdJB7v7fGT1HZGmJoiRc79czoSoo6rXd3Tvc/UeSdpT030q3Qvrzkn4kaTd3f2+A2Fr5Gp5ZOw9AJvLcdgYAAAAqQZ65OZFn3ti4mO3kmcPLc1uZPHMy8swNVNRcxHrkmYt53rWKvH7mRf/eIz13X+fuv5S0m6Lr5aWSlqYsdq2iZ5qzJW3n7meEOEcYr1CbvDyDFfF64+53u/tRknZR9OPuiyU9IOllRf9m1f4dSXVxflcor/fUDDDOA2g+ee6/AgCgmZGbbk6Zt5ncfbG7n6QoB3yzqv9N0BOKJo891N2TJv+t1biY7eSmw8vzsz256WTkphuoiH3GPZGbLuZ5J0nu3lX63e0Bko5UdL2eGaj4FxU9l7xd0tbu/kV3fyFQ2YX73uQx9+Huz7v7gZK2l/QpSTdIWpCy2DmKJkrfp/R9r3jyw7zFk4WinccIq0jjE6R8XseKIC/P4kW73jA+IZ9a/FmaMQpAc6lLH6YFntMKAACgKZjZrxQ17nt7r7v/vY719lOUeDpE0hsl7SlplKLVhDeV1E/SMkUdckslTZP0cOn1qNdplTYzu1/SYWV2fcPdz69HnaGYWZuiTpRDJe2nqONmZ0mjJQ2TNEjSakUdLDMUdSo9LOk2d5+ScaxHqvzqgNd4tDo1kMjMhioabHSopP0VDTbZRtImis71NYomO16hKJn1vKRnFU22+6C7L8k86Dowsx0UJXuPUXRNHV16SdJKSfMkvSDpUUm3KLp+Fr5xbGYm6RVJI8vs/qy7/7pO9XLeoSZmtpmkgyW9XlHi8fWKku4jFA3iGa5oRdJ2Rd/dhYq+vy9KelrSQ5ImerSaaVYxD5X0bklvkTRW0k6KntHa9Nr15SlJ90j6m7uHGsjS8op+bTezAxRdKw+RtKukHRSd6+uvkysVPedPVXSNfErS7e6eZjXnSuJqqWt4o9p5AMKi7QwAAAAgz8gzbxQXeeZsYqWtjFRara84TtFzEbUiz4ys5PEzb9XvPTZmZv0VnZc9z8+dJG0maaikwZI6FZ2nixVNIjJVUV73EUXn6Lo6x8h4hQLjepOM87s6ebyn1gvjPIDmQf8VAABAeI1uM5nZjpLeqWgi2L0V/R5ouKLc9EpFi5A/p+i3P/9298l1jofcdDax8myPVFqpbytJq/YZk5vOFzPbTdFYswMV3Xt2lLS1onvPEEX39HV6LT82V9GEqs8q+n3vw+4+J8N4C/W9yXvuw8x2UfSd2FPR57+LpK0UfS+GK1qsZ4Wi54/Fij7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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open('example_run/curvature_averaged_10_10_P_Lower.png')\n", + "img.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f49cba58", + "metadata": {}, + "source": [ + "# Cluster \n", + "This function clusters the selected residues. \\\n", + "\\\n", + "Arguments:\n", + " - `attached_ligands`: (str) Ligand 1 to be clustered. default: group 1 previously selected(\"POPS\" in this example).\n", + " - `lipids_to_cluster`: (str) Ligand 2 to be clustered. default: group 2 previously selected(\"POPC\" in this example).\n", + " - `protein_residue_names`: (list) All residues except for attached_ligands and lipids_to_cluster.\n", + " - `box_side_length`: (int) Length of a box size. default: 6." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b82a3205", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making clutering plots\n" + ] + } + ], + "source": [ + "experiment.cluster()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "38ed92fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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wCyw3B7AaJC0F1gLvGJr3ToCIuBZ4M/AuSQeAnwOXhod3mk0XAX5gZVYOYDVExJPA8+fMu3bo/TXANYtZR8nZFSahie0tPcNG6uV1IcNG6efxEXxRJisHsEKUnF1hEprY3tIzbKReXhcybJR+Hh9GgLsQs/LfC4UoObvCJDSxvaVn2Ei9vC5k2Cj9PD5CgsepWH3OxNGgpjJxlJwRwawJKTJx9J7/G3Hn6148ttxxN37XmTgScReimVkq7kLMygHMFs25EKebW/QVj0LMzgHMzCwVX+PKygHMzCwFj0LMzgHMzCwVx6+sHMAKUfrNs6k1sb2l7+OSj1kXbsbOwi2wrBzAClH6zbOpNbG9pe/jko9ZF27GnjjJgzgy8yXHQpR+82xqTWxv6fu45GPWhZuxs5jR+MmScQusEKm7R0rvbmlie0vfxyUfs6a2teR9cgT5gZa5OYCZmaXiFlZWDmBmZikIX5TJzAFsCnU+I0IHlZztwufTELfAsvLfC0MkbZa0T9KOoXknS9oi6f7q9aR5fntZVeZ+SZflq7WZFeFQKqlxkyXjAHa464B1c+ZdBdweEWcBt1efDyPpZOBq4HxgDXD1fIHOzLqqxghEt9CScgAbEhF3AI/MmX0xcH31/nrgTSN++jpgS0Q8EhGPAls4MhCaWZcdugbm54Fl42tg4y2PiD3V+x8Bo8b1ngb8YOjzQ9W85JwRYfJS75PU5c7ZcglPHlzC0tmn2LH2pmzrTankui2KW1hZ+e+BBYjB0z8XlRJA0kZJfUn9/fsfXfDvnRFh8lLvk+TlDi457DXXelMquW6L4hZYVt6d4+2VtAKget03osxu4Iyhz6dX844QEZsiohcRvWXLFn6ZzBkRJi/1Pklebvapw15zrTelkut2zA5lo/c1sGw0aFTYIZJWAV+OiHOqzx8GfhwRH5J0FXByRLx3zm9OBrYBL61mbQdeFhFzr6cdptdbHf3+Dak3ITs/0HLySh5G3wW93gb6/Z2Lii69058b37r8JWPLzb7v/2yLiN5i1mUDboENkXQj8E3gbEkPSXob8CFgraT7gddUn5HUk/QpgCpQfRDYWk0fGBe8zKyD3ALLyoM4hkTE+nm+unBE2T7w9qHPm4HNE6qambWBmwRZOYDZornb6kipu/y8j49UXLeq3MLKzQHMzCwVt8CycgAzM0vh0ChEy8YBzMwsFTmA5eQANuWaynTQRCaG0rM/NJXZI2XdmlpeMRy/snIAm3JNZTpoIhND6dkfmsrskbJuTS2vGG6BZeVLjlOuqUwHTWRiKD37Q1OZPVLWranlFcHJfLNzC2zKNdV9U3e9KevXxDoXInX9mth3TS2vGG6BZeUAZmaWhO8Dy80BzMwsFcevrBzAmvT43trZBOpwtoZy1D0WxWWTaJHi9olwF2JmDmBmZql4kEZWDmBmZqm4BZaVA5iZWSqOX1k5gE25krM/pF5eyXUDOGfLJTx5cAlLZ59ix9qbsq23zvKaOk9Kz55yGIE8CjErB7ApV3L2h9TLK7luAE8eXHLYa7b11lheU+dJ6dlTjuAuxKx8ybEiabOkfZJ2DM37sKR7JX1H0i2STpznt7skfVfSXZL62SqdQMnZH1Ivr+S6ASydfeqw12zrrbG8ps6T0rOnHEE1JktGER3LRXaMJP0B8ATwmYg4p5r3WuB/RcQBSX8NEBF/PuK3u4BeRDy8kHX2zn5+bP3kukXX/el6lDas2MbyMPoy9Hob6Pd3Liq89F70vNj6wZePLTfzr2/bFhG9xazLBtwCq0TEHcAjc+bdFhEHqo//BJyevWJm1h5ugWXlAFbfnwB/P893AdwmaZukjRnrZGYlmdH4yZLxII4aJP0n4ADw2XmKvDIidkt6AbBF0r1Vi27UsjYCGwFWrjwVdw0dm650vZVeP1sAZ+LIzi2wMSS9FXgD8K9inguGEbG7et0H3AKsmW95EbEpInoR0Vu27KQJ1NjMGuMuxKwcwI5C0jrgvcAbI+Jn85RZKumEQ++B1wI7RpU1s45zF2JWDmAVSTcC3wTOlvSQpLcB1wAnMOgWvEvStVXZF0q6tfrpcuAbkr4NfAv4SkR8tYFNMLOmuQWWla+BVSJi/YjZn56n7A+Bi6r3DwIvmWDVDtNUNolWZURYpNK3tYlj5vOkBl8Dy84BrGWayibRuowIi1D6tjZxzHye1OEuwtzchdgyTWWTaF1GhEUofVubOGY+T2pyF2JWzsTRoF5vdfT7NzRdjVbqyjB6K0OSTBxnnRhbP/L7Y8vNvPHLzsSRiLsQzcxS8TWwrBzAzMxScQDLygGsQ5rqVquz3tTrbGIb2rDekrtWS65bMg5gWTmAmZmlIMHsbNO1mCoOYGZmqbgFlpWH0ZuZJSHQzPipzpJGPGDXjuQWWCGaymBQeuaEkuuXum7nbLmEJw8uYensU+xYe1Nxy6ujqfOzGOlaYNcxSGX3mVQL7CIHsEI0lcGg9MwJJdcveXaKg0sOey1teXU0dX4WQSTLxBERd0halWRhHeYuxEI0lcGg9MwJJdcveXaK2acOey1teXU0dX6WQTAzO36yZNwCK0Td7pHU3ShNrbeukuuXum5H6+YrYXm5lzWJ5U1cvS7EUyT1hz5viohNE6pRpzmAmZmlIOoO0njYqaTScAAzM0vC2ehzcwDrkKYyGJScOaH07A+lZyhJqeS6JZNoFGL1gN0LGHQ3PgRcHREjn084zTyIozLqvgtJfyFpd/U05rskXTTPb9dJ+p6kByRdla/WZlaURPeBRcT6iFgREUsi4nQHr9EcwJ5xHbBuxPyPRsS51XTr3C8lzQIfB14PrAbWS1o90ZqaWXkkmJ0ZP1ky3puViLgDeOQYfroGeCAiHoyIXwGfBy5OWjkza4dELTCrx9fAxrtC0r8B+sB7IuLROd+fBvxg6PNDwPm5KpdL6ZlCmlB6VpSU5Xz8a3IuxKz858DRfQL4LeBcYA/wN4tdoKSNkvqS+vv3z42F5So9U0gTSs+KkrKcj38NYhDAxk2WjAPYUUTE3og4GBG/Bv6WQXfhXLuBM4Y+n17Nm2+ZmyKiFxG9ZctOSlvhCSo9U0gTSs+KkrKcj38dNYKXA1hSimjBXzaZVLnHvhwR51SfV0TEnur9nwLnR8Slc35zHHAfcCGDwLUV+OOIuHvc+nq91dHv35B2I+wwpQ+jtzL0ehvo93cuKrr0Vr8gtn7uLWPLzZz38W2+kTkNXwOrjLrvArhA0rlAALuAd1RlXwh8KiIuiogDkq4AvgbMApvrBC8z65hDXYiWjQNYJSLWj5g98t6LiPghcNHQ51uBI4bYm9k0kUcZZuYAZp1Wt2vQXY2WhFNJZeUAZmaWirsQs3IAMzNLQe5CzM0BzMwslRkHsJwcwArRVBaG0uvXRDaJ1EreJ3XLdeX8nDgHsKwcwArRVBaGukrOElG3XFNZHUreJ3XLdeX8nCxVk+XiPxcK0VQWhrpKzhJRt1xTWR1K3id1y3Xl/Jwop5LKzpk4GuRMHOXwMPrpliQTx++uiK23/MnYcjNn/ZUzcSTiLkQzs2TcwsrJAczmNU2tki5sgzVNMDPbdCWmigOYmVkyboHl5ABmZpaKB2lk5QBmZpaE8MDuvBzAzMxS8ONUsnMAa5muZDAoObNDyRkxmipXct0WUm7inAsxKwewiqTNwBuAfUNPZP474OyqyInATyLi3BG/3QU8DhwEDkzyHo+uZDAoObNDyRkxmipXct0WUm6ynMw3N+/tZ1wHrBueERF/FBHnVkHrZuALR/n9q6qyE71BsSsZDErO7FByRoymypVct4WUmzhn4sjKmTiGSFoFfPlQC2xovoD/B7w6Iu4f8btdQC8iHl7I+krPxDFN94HZdEuSieNfnB5bv/Lvx5abWfnnzsSRiFtg9fw+sHdU8KoEcJukbZI2ZqyXmRWj6kIcN1kyvgZWz3rgxqN8/8qI2C3pBcAWSfdGxB2jClYBbiPAyuW/UauV01QLxy2rcrg13AICuYswK/85MIak44A/BP5uvjIRsbt63QfcAqw5StlNEdGLiN6y5x2furpm1iTNjp8sGQew8V4D3BsRD436UtJSSScceg+8FtiRsX5mVgTVnCwVB7CKpBuBbwJnS3pI0tuqry5lTvehpBdKurX6uBz4hqRvA98CvhIRX81VbzMriEchZuVrYJWIWD/P/LeOmPdD4KLq/YPASxa7/nO2XMKTB5ewdPYpdqy9abGLm7oblEu+Gbeuusure650Yd8Vc4NyXR6kkZUDWCGePLjksNdFL2/KblAu+Wbcumqvt+a50oV9V8YNygvhFlZO/nOhEEtnnzrsddHLm7IblEu+Gbeu2uutea50Yd8Vc4NyLTW6D92FmJRvZG5Q7+znx9ZPrhtbzkOjzcPoJyvJjcznnhn92943tpyWv9M3MifiLkQzs1TcwsrKAczMLAk/Dyw3B7AmnbCcaenycRfY4ni/tIRbYFk5gJmZpeIAlpUDmJlZEnKqqMwcwMzMknELLCcHsEKUnv0h9fJKziZRV+lZIqYpE0cRx0J+InNuDmCFKD37Q+rllZxNoq7Ss0RMUyaOYo6Fr4Fl5T8XClF69ofUyys5m0RdpWeJmKZMHOUcC2ejz8mZOBrU662Ofv+GpquRhYfRW8mSZOI470XR/4e/GltOJ653Jo5E3IVoZpaEr4Hl5gBmZpaMA1hODmC2aHW6B901OJq7VjtEeBBHZv5zoSLpDElfl7RT0t2S3l3NP1nSFkn3V68nzfP7y6oy90u6LG/tzax5VRfiuMmS8d58xgHgPRGxGng5cLmk1cBVwO0RcRZwe/X5MJJOBq4GzgfWAFfPF+jMrMs8CjEnB7BKROyJiO3V+8eBe4DTgIuB66ti1wNvGvHz1wFbIuKRiHgU2AKMf9CXmXWLH2iZla+BjSBpFXAecCewPCL2VF/9CBh1m/9pwA+GPj9UzautK5kJ6mbYSK2JbBIp61a6qc6wUZtzIebmFtgckp4L3AxcGRGPDX8Xg5vmFnXjnKSNkvqS+vv3P/r0/K5kJqibYSP5ehvIJpGybqWb+gwbtc3UmCwV780hkpYwCF6fjYgvVLP3SlpRfb8C2Dfip7uBM4Y+n17NO0JEbIqIXkT0li175jJZVzIT1M2wkXy9DWSTSFm30jnDRk3uQszKmTgqksTgGtcjEXHl0PwPAz+OiA9Jugo4OSLeO+e3JwPbgJdWs7YDL4uIR462zq5k4vAw+mPnYfRlSJKJ42W/Hf1//K9jy+k5r3cmjkTcAnvGK4ANwKsl3VVNFwEfAtZKuh94TfUZST1JnwKoAtUHga3V9IFxwcvMushdiDl5EEclIr7B/GNcLxxRvg+8fejzZmDzZGpnZq3g+7yycgCzeXWhe6v0bSh539lCORdibg5gZmbJeJBGTg5gZmapuAWWlQOYmVkSThWVmwNYy5SeJaKpzAkp11v6Pmki20VXMnFM/Pz0fV5ZOYC1TOlZIhrLAJJwvaXvkyayXXQlE8dEz0/hVFKZucO2ZUrPEtFYBpCE6y19nzSR7aIrmTgme37WyMJRs4UmaZ2k70l6oEqgYCM4E0eDSs/EUfoQ9Dq6sA02eUkycfT+efS/dd3Ycpp9+VEzcUiaBe4D1jJIDL4VWB8ROxdTvy5yC8zMLJU0LbA1wAMR8WBE/Ar4PIPHOtkcDmBmZkmIRKmkFv14pmnhLsQGSdoPfL/pepgZZ0bEssUsQNJXgVNqFD0e+MXQ500RsWloOW8G1kXE26vPG4DzI+KKxdSvizwKsUGL/QdjZuWIiFRPYa/9eKZp5y5EM7OybAXOkvSbkp4FXAp8qeE6FcktMDOzgkTEAUlXAF8DZoHNEXF3w9Uqkq+BmZlZK7kL0czMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWskBzMzMWun/A+kqMSlqpsXoAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open('example_run/cluster_POPC_POPS.png')\n", + "img.show()" + ] + }, + { + "cell_type": "markdown", + "id": "efcface9", + "metadata": {}, + "source": [ + "# Force \n", + "This function calculates the pairwise force between selected groups 1 and 2. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "3172b4a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating average force plot\n", + "Average Force plots created and saved\n" + ] + } + ], + "source": [ + "experiment.force_graph()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "8ef0e088", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/force_averaged_['POPS', 'POPC'].png\")\n", + "img.show()" + ] + }, + { + "cell_type": "markdown", + "id": "80a0e072", + "metadata": {}, + "source": [ + "# MSD and Diffusion\n", + "This function calculates MSD values and calculates the diffusion coefficient using MDAnalyses." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "152fe73e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating diffusion coefficient\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diffution coefficient and MSD plotted\n" + ] + } + ], + "source": [ + "experiment.msd()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8468aa57", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/MSD.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6311f1f8", + "metadata": {}, + "source": [ + "# Framewise parsing of PFA\n", + "This section illustrates how to generate framewise and moving window plots." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "0fce9087", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as framewise\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed asframewise.\n", + "experiment.framewise = True\n", + "experiment.parse_pfa(file_name=\"generated_pfa_framewise.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e76b9bf9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Framewise parsed PFA file\n", + "PFA file parsed in 24.957979917526245 seconds\n" + ] + } + ], + "source": [ + "#using this function in \"average\" mode automatically sets \"experiment.framewise\" to \"True\".\n", + "experiment.parse_parsed_pfa(file_name=\"example_run/generated_pfa_framewise.pfa\", mode=\"framewise\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0a725d58", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating 50 specific frame curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for the 50th frame\n", + "experiment.curvature(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "769bae75", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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SZt+h50XqstDwOgQaOId1ea4u6TqOBl+L122+WeAcq2LZ5Pnd3fndRSwjfy097+e1BqG3eK1BcNn9/Tqsw/uyaYhxWYfg4jLmywSSJEkapJMpEpntnLr7f2TxBLayJ+g9PyJW9xjLppL1h1M8Ka5yEXEY8LiSzadmZi5hzImI+AWKJxr/CcWT7bq1DHgp8N2IeHdErFzCGF2LiA0R8XHg08ATKxhveUS8k+J3cRbwfyme9rfU6/6geLL0xyPifyPiwb3G2PYgES8BvkORwIwlDPFMivfuxZUG1kGTz7ua+WeKJ3SW+a3M/PygghmSfYYdwLipeu7tt6bO7QARMRkRP08R+18Cx/Uw3GHAG4DvRMQXe4xrXOfwZ5Ws7+n32a0o/A7Fk5hfTPm1cTurgF8DvhcRj+pDeHuJiNmI2AR8jvLr2HYmKH6+8yLiqQsc48EURQx/Q/FU8sVaA7wNOCsiDujidRpdXyhZ/+yBRiFJkiRJUvOYwzWHew9zuK2DmMNt0v3/hWxqs24SeEUPYz6f4gG+852amXM9jNuVur7nTf3ctz1ww/I6A/Ikiu/lMn88qEC0px6/wzeVrK/tNdgozTXqbBB1LnX9Th0A6yiWwDoKNYg1FJIkSZKGxfyz+ed7mH9uHcT8c93vmz6d8vtwc8CfDjCWSjX1M9MUrd/vW4FzKRqW7tvjkKuB51I04vxY0+Opyqidx03LiwyIdQg1VMF13KaS9bW9Fh+1+Ubl+l2HMGbX0ruzBmEJrEFQw1iHII05G7hLkiQN1itL1n81M3/YZv37SvZfCbyox1g+TvHk33ZO7nHsMj9D++R6Uv6zloqIAymetveXwLpeAmuZoGgO+9WI6JTk6FlEHA18nSJxV5V1wK/Q3c2ixXok8M2I6PW820NE/AbwIYqbVr1YCXwoIl7fe1SdNfm8q5OI+HXgBR12+Whm/smg4umzGztsO35gUahfc2+/raNhcztARNwXOAP4a2BDxcOfsNQXjuscHhGzlCesTh9gHCsorkH/AJjpYaj7AF+KiJMqCKtUROxH8fvp5dp4DfCpiGg770TE04Bv0PmBJgt5JHBGRFT9WVPzfKlk/cNb57MkSZIkSWrPHK45XMAc7i7mcIGG3P9fpA8CO9qs72VOOaVk/aYexuxKzd/zdTTsc99O0/I6A/SSDtu+kpnfHVgkukcF3+FNvAZbxwjMNepsEHUuNf9O7RvrKJbGOgo1jDUUkiRJkobF/LP5Z8D88y7mn4H63zft9J5/MTMvHFgk1VtHwz4zTRERqyiavr6ZosFq1brqiVa3eCq2jhE5j5uWFxkg6xBqpqLruCZei69jROYblet3HcIYXksD1iAslTUIaiDrEKQxZwN3SZKkAYmIxwJHlWw+tWT9l4DLS7a9qpd4MvMuyp/2+4LWzaHKRERQ3PBt54zMvKTL8R4AfIv+PF30GODMiDiiD2MTEQcDnwXu14/x+2g5RYHDS6sYrPXEzLdXMdauIYG/iIifqnDMPQ/Q4POuTiLiScAfddjlu/Q4x9XM9R22PWIc3vM6aPDc22+Vzu0AEXECxVz5Y1WNWYUxn8OfSPvCo23AVwYRQERMA6cBz6loyBXAJ1qJ3Mq1nsT9n8AjKhhuCnh/RBwz7xhPAz5J8bP06mjg/RWMo2b7JnB7m/UBPGXAsUiSJEmS1AjmcM3h7tLgPII53Aafd4OQmdcB/9Vm04Mi4pHdjtf6I6h2f2j0lUH94b7vefX5vfmaltcZlNb35tM67PLhQcWie1XxHd70a7A+6ftco84GcX065t+p1lF0yToKNZA1FJIkSZIGzvyz+eddzD8XzD/vpXb3TSNiAnhqh13Mf3U2lvmU1v3tzwCPH3YsUL94Gmgg53HT8iKDYh1C/VR1Hdf0a/E+GcvvzTrp979Txu1aeh5rELpkDYIayjoEacxNDTsASZKkMVJWLLEV+Jd2GzJzLiI+APxmm82PjogHZOYPeohpE/CzbdavBp4HfKCHsed7DFB2I2xTNwNFxFEUT9A7YIFdb2ztd3br/98ErAUOBH4ceALlT1HeCHw2Ih6Wmbd0E98CJoCPAIe22XY7xc3OzcB1rXhngcMonsb3Ez0c9w6KptjnAJcBt7aWbRS/k/XAQ4GHAw9YIP73RsR5mbl5qcFExOOAP19gtxsonuz4SeBC4GqKGxYHAUdS3DR8LrDvvPj+GfiTpcZWpuHnXW20/qD/I8BkyS63AM/NzDsHFlT/fR/YQpFUmm8C+POIeHZmzg02rLEyrLm332o1t8M9zdu/RPGk2k6S4nf+ZYr5/TrgLoonKa+nKFh9BPBgyueLbuIa9zm87Gb/t1tFAIPwl8DT26y/Bfg88G2KB17cAmyg+Lw+BTi+w5jrgL+huG6t2nton/C7lKLRzUXAtRSfnwMoHljwZGBlyXgrgX+IiB/LzGw9ofwj7P306p3A1yg+R1dTXA+tAQ6hKIh8OMX1UDtPi4jnZ+Zpi/kBNXoyc0dEfJXiXJzvKVT77ztJkiRJkkaFOVxzuGAOFzCHSzPv/y/WPwPParP+FODrXY51Cu3vU/9zl+MsyQi857X63HfQtLzOoBxH53Ov3cMS1F9VfodvooHXYCWaMteoXN+vT0fgO7VX1lF0zzoKNYo1FJIkSZKGxPyz+Wcw/wyYf6Y5900fRnH/scxnBhXIENTqM9Mwv0JxD7iTy4AzgB8CV1L87eh2ivu7a4D9KBqxPpT282WT4xmkJp3HTcuLDMpxWIdQJ1Vfx22igdfiJZo036i9vv47ZUyvpXdnDUL3rEFQ41iHIInMdHFxcXFxcXFx6fNCcQP1DopmpfOX0xZ47f1LXpfAn1QQ2w9Lxv5cxb+Dfyw5zh3Aqi7GWQv8oMPvJIGzKG6KxCLel9+nSLKVjfXJJf68p5eMd3nJupcBMwuMuQE4ocP2A+eN+23g9ygSNx1/F/PGOYbiBtqODr+Xs4GJJf5uVlLclC8beyfw7sWcF6338C9ar9l9jJtLxr50iTE34ryr+0Jxk/7bC7z3Txt2nH362T+/wPlz6mLO+QHHfFiHeA+r8DhvKTnG6UsY6/SSsfo5955S5XzTZvxGzO2tYxxMUbzS6Vy/laKo9KBFjrkKeAnwbxQFqwnc0mVcYz+HA98oifUfKj5O2Wew3dx/IfAiYGqBMR/ZIf5dy5Mrjvc7bdZ9DfjxBcbbB/iHBWJ9ETDd5hjbKa5p9l/gGI+mKHIoG/8KYHrY59yoL3T+jtw05Nj+tCSuHw779+bi4uLi4uLi4uLi4uLiUrcFc7hgDnfXYg7XHG7j7v/T+T7lr87bd5riD6vm73cTsKyLYwZwSZtx7gRWz9v3lA7xnTTK7znN+dyfXjLmt9usG3pepw4L8NoOP9ePhh1fFz9Hp/njsAqP85aSY5xe4fla6Xc4DboGa8pcU/W54Lnd+/Vpa5+1NOA7tZ8L1lF0G691FC4LnTuHdXgPNg0xLmsoXFxcXFxcXFxcXFwGtmD+Gcw/71rMP5t/bsx9U+B1HWJs/D2UBn1mDusw7mEV/j7eUnKM07sYY1+KGoGyeD8BPKzLuA6geAjKJ4C7W+N8uonxVPm7btp53DrG6SXjfrvNuqHnReqwMAJ1CE2awxZxrlZ+HUeDrsUbNt9Udj54flfy75S1jOG19Ly4rUHoLl5rEFwWOncO6/AebBpybNYhuLiM8TKBJEmSBuFFlD/B7dROL8zM84Gvl2x+RURM9RIY8L6S9U+MiPv2ODYAETELvKBk82mZeUcXw/01RUFKO1uBV2fmYzLz05mZnQbKzNsz880UTwP8Ucluz46I53cR30LuM++/PwLcPzM/mJnbOr0wM2/MzLMXGH8bxRNQH5KZx2fmWzNz80K/i3nH+W5m/jzwKIobcu0cD7xwsWPO89tA2bm1A3heZv7SYs6L1nv4BuCnW6/dZd0SYyvT9POuLt5DkaAp8+bM/O8BxTJo/7rA9lcA34uIN0TE6kEENGb6Pff2W+3n9ogIimuKgzvs9iHgiMx8e2ZevZhxM/OOzPxwZj6b4im+76R4inM3xnoOj4gZiqeWt/OdAYVx3Lz/fg/wwMz8l8zc0Wb/e2Tm14HHUjy5u8xregtvL8fM++/fAx6dmV/p9KLMvCkzX0ORKC/zS8CvzjvGdcCjMvMNmXndAsf4KvA4iqfUt7MReFqnMTTyys6NIyNi/UAjkSRJkiSp/szhmsPdxRyuOdzG3f/vRmZup8jTzLceeFYXQ51E8UcR8308M7vN3yxFk97zJnzuyxw377/rntcZpBM6bPvGwKLQ7qr+Dm/aNViT5xp11u/r0yZ9p1bOOoolsY5CTWUNhSRJkqRBMv9s/nkX88/mn5t037RT/mvYf1NZlSZ8ZprkOcBsybY3ZOZzM/Nb3QyYmddm5j9l5nOBQ4A3A1c1NJ5+afp5fNy8/657XmSQrEOol35cxzXtWrzp843K9fPfKeN6LQ1Yg7BE1iCoyaxDkMaYDdwlSZIG41Ul668HFtOsuOym7IH0/o/6U4G5NusnKBoKV+G5wJqSbZsWO0hEPJXi6Y3t3AmclJnv7S60ewpcfpzym3d/HBGT3Y67CKcCL8vMuyoa72aKp3S+MjO/1+tgrYTkE4BLSnb5lW7HjIh9gDd02OXkzPy3bsfNzE8Cp3T7usUYwfNuKCLijcBLO+zyCeBtAwpnGP6J4kmanRwCvBu4NiI+FRGvjYgHR4T/dq9W1XNvv9V+bm85BfjJDtvfCbw8M29Y4vhk5jWZ+SbgwYt9jXM4UCT8Zkq2fXeQgbT8cWa+JotmMYuSmVsoCi2vLNnlpyJi30qi29v/zczf77K44K3AGSWbH82eScHrgMcsosB29/FvBl7MnoWnuzt5sWNpJHVK5j98YFFIkiRJktQM5nDN4bZjDndv5nDvVaf7/93aVLL+lC7GKNu3bOzKNOw9r/3nvgtNy+v02wM7bDtvYFGoTBXf4Y25BmO05hp1Vun1acO+U/vFOoreWEehJrGGQpIkSdIgmX82/9yO+ee9mX++Vx3um5Y12oTRyH/V/jPTQGUPif9gZv5lr4Nn5vWZ+QeZWfa9Wvd4+mHUzuOm5UX6zTqE+qrqOq4x1+KM3nyjcpX9O2XMr6V3sQahN9YgqGmsQ5DGmE3gJEmS+iwiHkDxj/t2PrzIGx4foXhSZTs9JXwy8zLgSyWbq7phUDbOJcCXFzNARATw9pLNCbwiM7+2hNiKATKvBF4O7Gyz+QjgRUsdu8T5wGsys93N9iXJzK2ZeXVV47XGvILy9+/hEdEpKdTOa4GVJdtOy8wPdTnePTLzg8C/LvX17YzgeTcUEXES8Ccddvk+ReHNom+oNk1mbgV+fZG7rwCeCfwdcC5wc0R8ISLeEREviIjD+xXnGKh87u23JsztEbEceGuHXf4uM99U1Wc8M29bZFzO4YVjO2z7wcCiKHwe+K2lvDCLJ7z/RsnmGeCpSw2qg09k5ruW+NqyWGHPJOyrMvOH3Q6emT+gvED7GREx3e2YGhnnd9h2/MCikCRJkiSp5szhdhzHHK453N2Zw91Tne7/dyUzNwPntNn0lIg4cKHXR8Qqij/Qme8y4Iu9RbfgsRv1njfkc78YTcvrDMJ9O2y7aGBRqJ1KvsObcg0GIzXXqLNKr0+b9p3aR9ZRLJ11FGoaaygkSZIkDYT5547jmH82/7w78897qsN90075r7Jmq43RkM9M0xxdsv5vBhrFveoWT+VG7DxuWl5kEKxDqKfKruOaci0OIzffqFxl57fX0vewBmHprEFQE1mHII0xG7hLkiT1X6fiiFMXM0Bm3gT8R8nmZ0TE/l1HtadNJeuPjoiywpFFiYj7AD9RsvnULpq5Pg04rmTbezPzE93GNl9mngW8p2Tzq3sdf56fazV0rr3MPBP4VMnmp3U5XNlTYO8G3tjlWO28EdhSwTi7jNp5N3ARcV/go8BUyS63Ac/NzNsHF9VwtIqL3rmEl64Bngj8GsXv8uKIuC4iTouIX4yITjf0tafGzL39VvHc/mLKiwQuYHhPwHYOL5Q99GE7xRODB2UrcEqPjfw/Btxasu1hPYzbzl0URaNLkplfBS5dYLePZOZ/LvUYQFnR6jLgQT2MqwZrfc/dULL5sAGGIkmSJElS3ZnDNYfbTmPyCOZwR+q8G6RNbdZNUn4O7O6FtG+00M2csVS+51T+uV9I0/I6fdf6g8ODO+xyzaBiUVtVfodvKllfp2uwvhnwXKOFVX196ndqwTqKpbGOQo1jDYUkSZKkATL/bP65HfPPezL/3N7Q7pu28l8bO+xi/qvEmOdTyh4Qf+5Ao7hX3eJpjCGcx03Li/SddQi1VvV13KaS9XW6Fu+bMf/erKMqz++xvZaexxqEpbEGQY1kHYI03mzgLkmS1EcRMUV5svl7mfmtLoYreyrbdIdjLNbHKZoot9PrUztfQfvrzqT8Z2rn50rW3w28pcuYOnkXRWzznRQRB1R0jG+0bjI3SdlT6R+32AEi4v5A2RNQP9l6empPMvNy4N96HWc3o3TeDVxELKeYX/Yr2SWBl2dmp6cLjppfB/6ugnH2A34a+Atgc0T8MCJ+JyIOrWDsUdXEubffep7bW17TYdvrM/OuLserinN44bCS9VcNOPH+odaTrpeslcwoS5Kd0MvYbXwgM6/vcYz/XmD7Up8IvcuXgTtLtvl03vFWdl192CCDkCRJkiSprszhAuZw22liHsEc7p6aeN4N2gcp/ihovsXMKaeUrN+01GC64Ht+r6ryewtpWl5nEGaBmQ7be80raemq/g5vwjVYvw1qrlFn/bg+9Tu1cFjJeusoOrOOQk1lDYUkSZKkvjL/DJh/bsf8897MP9fvvulKivmljPmvzsY1n7KiZP3OgUZxr7rF0zSDPI+blhcZBOsQ6qkf13FNuBbvt3H93qybqs/vcb6W3t1hJeutQejMGgQ1mXUI0piygbskSVJ/PZ3yJ/e+v8ux/pvym+yv7HKsPbQaq36sZPOLImJZD8OX3TA+IzMvWcwAEbGK4nfZzsd6vYG0u8y8APhKuzAof/Jot/6ponEG6X9K1j+0izE6/f66/Tx0UslYI3jeDcPfAg/vsP33M7PsabkjKTPnMvN1wM8AN1U49JHAHwCXRMQHbeTeVhPn3n7reW6PiIOBE0s2n5eZn+86qgo4h++hbD6o7HewSH9f0TibS9aXFXguVdnTuLvxvQ7bvpuZX+9l8MzcCfygZLNPbR5vZZ9vrw8kSZIkSSqYwzWH204T8wjmcPfUxPNuoFp/7PJfbTY9OCIeUfa6iDgCeEybTWdl5kVVxVdybN/zPVXxuV+MpuV1BqHsD/93uXsgUaidSr/D634NNiCDmmvUWaXntt+pe7COYmmso1BTWUMhSZIkqd/MP5t/bsf8897MP9fvvunyBbZvqepAEfHEiHhOBctsVTFVYFzzKWV/F/3IgUZxr7rF0zSDPI+blhcZBOsQ6qny67i6X4sPyLh+b9ZNZee319J7sAZhaaxBUJNZhyCNKRu4S5Ik9derStbPAR/oZqDM3A58uGTzgyPiUd2M18amkvXrgOcsZcCIOBG4f5fHa+cnKH967Me7iWmRzipZ/2MVjf8fFY0zSNeWrD8sIjo92Xd3ZcnObUCVDX4/1xqzV6N23g1URLweOKXDLp8C3jqYaOonM98PHAX8KXB7hUMH8FLgBxHx1ojw3/33auLc229VzO1PpTjv2vnb7kOqjHP4vcoKgW8cYAx3AN+qaKxzS9avq2h8KOblb1cwzvkdtp1RwfhQnvRbX9H4aqYbStaXzQeSJEmSJI0bc7jmcNtpYh7BHO6emnjeDcOmkvWndHjNKbTPB5WNVSXf8z1V8blfSNPyOoOyUAOLrQOJQu304zt8U8n6dQz/GmwQBjHXaGFVn9t+p97LOoruWUehJrOGQpIkSVK/mX82/9yO+ec9mX8u1O2+6SDzX38BfKKCZf8KY+rVuOZTLi1Z/9aImBpkIC2XlqwfVjxNM6jzuGl5kUGxDqGe+nUdt6lk/TqGfy0+COP6vVk3VZ7f434tvTtrELpnDYKazjoEaUx5o0GSJKlPImJ/4Bklm7+wxKcFvg94Q8m2VwH/u4QxAcjMsyLiQuDINptPBv5lCcOWPa3zTuC0LsZ5TMn6ncBnu4poccqeoHdsBWNfl5lXVDDOkrUSjhuB/YC1wDJgmvIGvB2Ho7h5cNki9n1IyfrvtYqLKpGZ2yLiPOC4HocapfNuoCLiMcC7OuxyAfCKzMwBhVRLmXkT8GsR8YfAy4CXA49maZ/F+ZYDbwYeHhEvyczbKhizyYY+9/bbEOf2TsWfn17CsaviHH6vlSXr7x5gDF/PzB0VjVWWrJyOiBWZWcXP9Y3WE5F7dUuHbV+tYPxOx1hb0fhqprLPQdl8IEmSJEnS2DCHe8/r2jGHO0TmcBdtlM67YflP4HqKc213L46I/5uZe/zxZ0QE8DNtxrkL+Gh/QtzDyL7nQ/zcL6RpeZ1BmVtguw9XH46+fIfX/BqsKzWea9RZP87tkf1OXQLrKLpnHYWazBoKSZIkSX1j/vme17Vj/nmIzD8v2iidd0ux0N/3jk3+y3xKV74EnNhm/WOBf4+I1wx4DqxbPENT8/O4aXmRQbEOoX76dh1X82vxrtR8vlG5qs/vcb+W3p01CN2zBkFNZx2CNKZs4C5JktQ/P0P59dapSxkwM8+OiHNpn8R+cUT8co83Ot4H/EGb9U+OiAMz85rFDhQRy4AXlWw+LTPv6CKu40vWX9KnJMp1JeuPqGDszRWM0ZWIOAh4JvA44BHA/ShugFdlA4u7IX5YyfrNlUWy55jH9TjGKJ13AxMRBwMfo/wcuwN4bmbeOrio6q3VXP1vgb+NiAOBJwNPpGjmfhS9NXR/OnB6RDwmM+/qOdjm2jzsAKpWo7n9uJL1N2TmhdWF0zXn8HvVIel3eYVj3d5h21qq+bmqSvR3ut6tKslddow1FY2vZir7HCyLiMmKktqSJEmSJDWVOVxzuO1srmCMrtToPv9hJes3VxbJnmMe1+MYo3TeDUVmbo+IDwG/NG/TPsCzKHK9u3sicEiboT6emZ3u2VdlZN7zGn3uF9K0vM6gbFlg+7KBRKH5Nvdx7Lpegy10rKbMNepscx/GHJnv1ApYR9E96yjUZNZQSJIkSeon88/mn9vZXMEYXanRveHDStZvriySPcc8rscxRum8W4qFfsaRzX/V6DPTRB8BfoP2f/f8NOCCiPgXiu+bMwdw/61u8QxMw87jpuVFBsU6hPrZ3Ofx63otvtCxmjTfqNzmiscb92vp3VmD0D1rENR01iFIY8qnbEmSJPXPK0vW3wF8vIdxywo31gDP72HcXWO3e1LrJPCKLsd6NrC+ZNumLsc6qmT9D7ocZ7FuKll/QOtpoL1Y9E3zXkXEkyLivyluKv0D8HLg/lR7Mxxg+SJimaG4cd7OldWGU9mYo3TeDUTrff5XiqfctpPAyZl53uCiapbMvCYzT83MUzLz/hTz6BOAXwE+CJy/hGGPB/6xwjCbaGBzb7/VaW5vObxk/TeqCmSJnMPvNVuyfpBJv5srHKtT3FUVpFQVb6cCmn4fw+Kc8dbpoS0+uVmSJEmSNO7M4ZrDbccc7t7M4RbqfP+/F5tK1p+yyHWdxqha49/zOn3uF6lpeZ1BWeiB6d5/H45+fofX9RqsrQbONeqsH+d2479TK2QdRfeso1CTWUMhSZIkqZ/MP5t/bsf8897MPxfqdt90oXuiZfdSG6tOn5mmyszvUPwdeZkVFHUGXwKujYiPRMTrIuIhEVF5n7O6xTMIDT2Pm5YXGRTrEOqn39dxdb0Wb6uh843KVX1+j/u19O6sQeieNQhqOusQpDHVyBsJkiRJdRcRJwIPKtn8r5m50M30Tj4AlD1l61U9jEtmXkaRgGrn5C6HK9v/EuDLix2klfw6qGTzMyMiq16AsubSE/T+BLxbe3z9giLiPq0b4Z8Fnkr/r/tnFrFPp9/bbVUFUtWYI3jeDcpfASd22P72zOyl+GzsZOatmXl6Zv5ZZr48Mx9A0SD/xcDHWPxN+5dExEv6Fmj99X3u7bc6zu2twrp9SzZfVW04i+ccvmgxwGP147u+nap+pk5Phq5Kv48xyPdX9dPp/c+BRSFJkiRJUs2Yw+24vzncPqvjfX7M4Q77vBuazNwMbG6z6SkRcc/DuiNiDfC8Nvv9CPhiX4LbTdPf85p+7hejaXmdgcjMLRQNd8ocMKhYtIe+fYfX8RqsnQbPNeqs0nO76d+pA2QdRTnrKNRk1lBIkiRJ6gvzzx33N//cZzW9N2z+uWH3TTPzbsYk/1XTz0yT/R+KuX4hG4AXAX8DfBe4OSI+GxG/FRGPjuqardYtnr5o+HnctLzIQFiHUEt9vY6r47V4Ow2fb1SusvPba+lFswahnDUIajrrEKQxZQN3SZKk/uhUBPG+XgbOzKuBz5VsfnxEHN7L+JQ/TfPBEfGwxQwQxR/0PqVk86mZ2c0/NNdQ/RM4e9Hr0zv7etMrIn6M4g+tn9rP48w/7CL26fR7q13xBaN33vVdRLwG+LkOu3wa+N0BhTPSMvPazPyXzHwhRfL1tyh/Yuzufjca+kT4Cgwq4dAXNZ7bV3fY75bqQumac/ie7ixZv2KAMTQtyTCIeJv2O1GzdPp89/KHAJIkSZIkNZ05XHO4Zczh7s0c7sKGff+/V5varJsEXr7bf78QmG2zX7dzxlI19j2v8ed+McxhlLuiw7ayP0pUf/W7FmBTyfphXYPNH7vJc406q/rcbux3ap9YR9E96yjUZNZQSJIkSeoX88/mn8uYf96b+eeFDeu+6UDyX5n5kMyMxSz0OIfOV+PPTGNl5o3Ak4DvdfnSNa3X/RHwP8BNEbEpIp4UEZOjEk8/jMB5bA6gnHUI9TKIfgSbStZbh6B+q/L89lp6T9YgdM8aBDWddQjSmBrXxm2SJEl9ExGzFE/fbecy4PQKDnNq2eGBV/Y49scpv/F2yiLHeDnFH/bOl3SfOB3kDanF6PUm4o5KomgjIo6naJK9oV/H6JN+3PTqdcxRO+/6KiJOBP6ywy4XAS/NzLkBhTQ2MvP2zHw78ADgMwvs/kDgWf2Pqpb6Nvf2W83n9k5z5S2DCqIN5/A9ld3gr9vvSVJ1yj7fWzNz50AjkSRJkiSpJszhAuZwOzGHuzdzuAsb9v3/Xn0Q2N5m/cm7/f9T2mxfypyxVI18zxv8udfCftRh2/0HFoV21+9agLpdg93DuWbkVX1uN/I7tY+so5DGizUUkiRJkipn/hkw/9yJ+ee9mX9e2LDum17WYdtRA4uiTxr8mam9zLwIOBF4F7B1icOspqhR+Czw/Yh4WUQsqRda3eKpkufxyLMOoV4G0Y+gbtfi93C+GXlVnt9eS+/JGgRp/FiHII2pqWEHIEmSNIKeT/G0wHbOBZ4dUckDIOdo/0CekyPiLUttlJyZd0XEx4CfbbP5JRHxK5m5bYFhTi5Zf0ZmXtJlSHW7Zq3l0zsjYiXwMYrkYCcXAGdQPPX0IuAq4AbgdmALsKPsiaoR0UtBQ6dkZ9nnpRdre3y9590iRcQBwGnATMkudwHPzcybBxfV+MnM6yPiGcAngWd22PXprX3UAA2Y2+v61Fnn8D3dUbLepJ80uso+32VPcZckSZIkaRyYwzWHO3ANuM9vDrc3tTzvFiszb4iI/wSeM2/TQyLi4cCtwI+3eelZrT98HoTGvecN+NyrN98FnlKy7SGDDESDUcNrMMC5RkvSuO/UPrOOQhov1lBIkiRJ6gfzz+afB64B94bNP/dmWOfducCTS7Y9eJCBVK0Bn5nGy8w7gP8bEX8O/AJFQ+GDljjcUcAHgF+MiBdlZqem1o2Ipwqex2PBOoQxU8NrccD5Rl3zWnpP1iBI48c6BGlM1e0iSJIkaRS8qsO2p7eWfjoE+EmKp/su1Sba3/DdADwD+ETZCyPiBMqTAZuWEMuWJbxmHP0qcESH7acCf5KZ31vK4BHR7gms3bi1w7Z+FF/0Oqbn3SJExDRF8/aNHXZ7VWZ+d0AhjbXM3BkRL6NIdu1bstsTBxiSelf3ub3TXLmux7F74Ry+p2soCobmK5snJDXffiXrrx5oFJIkSZIk1Ys5XHO4w1D3+/zmcLWJvRu4A5xC+fmxqT+htNXE97zun3v15lsdtj0qIiYzc+fAotGgbKI+12C7ONeoW038Tu0n6yik8WINhSRJkqR+MP9s/nkY6n5v2PxzM53dYdsjIyLKmrA2QN0/MyMjMy8Dfi0ifhN4DMXfMT8BeCSwrMvhHgV8OyKekJnnjEI8PfI8Hn3WIYynTdTnWnwX5xt1w2vpPVmDII0f6xCkMWUDd0mSpApFxBHA44YdB0UByJKLLzLzrIi4EDiyzeZT6HDDt7W9nTspGj13q+xJgwBnAn+2hDF7cd2Aj7egiJgBfrFk83bgZzLzIz0eZn0vL87MbRFxE7BPm82dmn8v1cE9vt7zbnHeRZG8LvPOzPyXQQUjyMzbIuLPgLeV7HJERKxqPUm+Lob9RNtaasLcDtwGJO3fw3U9jt0L5/A9XQo8ts36+ww4DkmDU/b5vnSQQUiSJEmSVBfmcO/Z3o453D5pwn1+c7g9q915twT/BVzP3n9I8BLgrjb73wV8rN9B7aZR73kTPvfq2Vc7bFsLnAB8Y0CxNMFI1ALU7BrMuaYemnhuN+o7dQAuxToKaZxYQyFJkiSpUuaf79nejvnnPmnCvWHzzz0b1nn3tQ7b9gWOAb4zoFgq04TPzJD0NcfRajL95dbyexGxjKJp+mN2Wxbz8IX1wH9GxMMy89pRiadbnsdjwzqExWtinratml2LO9/UQ9POb6+l93Qp1iBI48Y6BGlM2cBdkiSpWq+iHjfGnhMR6zPz5h7GeB/wB23WPy0i9svM6+dviIhpij/kbee0pTQMzsy7I+Jm2t+QvTMzP9ntmCPoSRRPU23nzRXcDIf2RRPdurRknOMqGHu+43t5sefdwiLiZOD1HXb5PPAbAwpHe/p3yhu4Q9GAoU4N3NcOO4Caqv3cnpnbI+I64IA2m3stglsy5/C9XFqy/sCImMjMuUEGI2kgyoqbfzTQKCRJkiRJqg9zuOZwh6H29/lbLi0Z57gKxp7PHG7NtHI9HwR+ed6mfWh/XvxrZt7e98BaGvieN+VzryXKzB9FxPeAB5fs8lz8w+ndjVItQC2uwVqca4avced2A79T++3SkvXWUUijyRoKSZIkSVUz/2z+eRiacm/40pJxjqtg7PnMP1cgMy+KiAuAo0t2eTYNbOBOcz4zgzbQHEdmbqVo4nomQERMAo+mOK9eTOemphuB3wN+flTjWQTP4zFgHUJXGpenXUAtrsVbnG+Gr1Hnt9fSe7m0ZL01CNLosg5BGlMTww5AkiRpVETEBPAzw46jZRnwsh7HOBVodxNoGnhpyWueQfFE7XY29RDLJSXry24Cj5uTStbfCLyzomPct4Ixzi1Z/5BWsqASrbEeVMFQnnclIuLhwN912OVHwItbTyfXgGXm9yieZlymbJ6eb2uHbcsWH9GCTLi1d1LJ+rrN7WVz5SMqGLsXzuH3KvtdTAEHDjIQSf0XEcspn+vK5gNJkiRJkkaWOVzAHO6wnFSyvm73+c3halOf9q1Kk97zk0rW1+1zr958qsO2F0dEHZr2LMRagO7V6RrspJL1zjWe2wtp0ndqv1lHIY0JaygkSZIkVc38M2D+eVhOKllft3vD5p+bqVP+q6xJbN2dVLK+bp+ZXcYix5GZOzPzrMx8E3AY8ELg4g4veXVE7Dcu8bRxUsn6up7HWrqm1yGMxRzWB3W6Fj+pZL3zjed3J15L38saBGmMWIcgjTcbuEuSJFXnKXR+su6gvaqXF2fmZcCXSjaf0uX6S4Av9xDO5pL1R7SKXsZd2RN1/y0zd1R0jB+rYIyvl6yfAX6ygvF3eVJrzF5tLlk/1uddK7n8cWB5yS53A8/NzBsHF5Xa6PT7X2yx060dtq3uIpaF1Om7s06aMrd/u2T9vhFxZAXjL9XmkvXjOIdv7rDtAYMKQtLAPLDDtrI5W5IkSZKkUWYO1xzusDTlPr853DGXmefQOZewy48on3/6aXPJ+jq+50353Ks3p3bYdjjw7EEF0gNrAbpUs2sw55pyntudbS5ZX8fv1H7b3GGbdRTSaLGGQpIkSVLVzD+bfx6WptwbNv/cTJ3yXw+MiCcNLJLqNOUzs8vY5ThazdM/BjyM8nt101Q7dzQmnpamncdauqbXIYzdHFaFml2LO9+U8/wut7lk/bhdS4M1CNK4sQ5BGmPjdpEjSZLUT52KHR6VmdGPBXhPyTGPj4hje/yZNpWsPy4iHrr7iojYF3h6yf6nZmb2EMfXStbvAxzXw7ijYmPJ+h9WeIwfr2CML3TY9ooKxt/lZyoax/NunoiYAv6Fzk+4fU1mekNp+FZ22HbnYgbIzLuAsqRa2dOZu9I6px5ZxVgjqClze9lcCfDUCsZfKufwe50LbCnZ9tCS9ZKaq+xzncC3BhmIJEmSJEk1YQ7XHO6wNOU+vzlcQfm8srte54ylatJ73pTPvXqQmd8Hzuywy+/W/Y8QrQVYsk0l6wd9DdbEuabs541KD+K5vZAmfaf2m3UU0viwhkKSJElS1cw/m38elqbcGzb/3ECZ+R3gqx12+d1BxVKhpnxmgPHOcWTmLcDJHXYZaMPfmsXTqPNYS9f0OoRxnsMqsKlkvXUIC7MOYfi8lr6XNQjSeLEOQRpjtf2HmSRJUpNExAbgWSWbf5iZZU8Nr8IHO2z72R7H/jhwW8m2+cmnl1I8OXi+BN7XYxz/SfkN1GE2h62LskbNN1YxeERsBH6i13Ey8wfAD0o2P6d1nJ5ExH2o7inCnnd7+xPgCR22vzszPzCoYNReRKyi8xN7r+hiuFtK1j+kizE6eTidm82Ps0bM7cCnKZ8rX1fB+EvlHN6SmduBc0o2m/STRk/Z5/rCVhGhJEmSJEljwxwuYA53mBpxn98crlo+CGzvsL2KOWOpmvSeN+Jzr0q8o8O2E4BXDyqQHtxSst5agHJ1uQZr4lxT9h2zvOLjgOd2J036Tu0r6yiksWINhSRJkqTKmH8GzD8PUyPuDZt/brR3dtj22Ih46cAiqUYjPjPz3FKyfuRzHJn5XWBzyeYDBhgKUKt4mngea+maXodwS8n6kZ/DelSXa/EmzjfWIQyf19It1iBIY8c6BGmM2cBdkiSpGi8HZkq2dSqOqMIZwOUl214aEWVxLaj1NMiPlWx+WetJjrucUrLfGZl5yVJjaMVxFfA/JZt/MSJW9DL+CLizZP26isb/eWBqwb0W5/0l61cA76pg/D+nopvqnnd7ahVYvLHDLl8GfnVA4aizJ3bYdlNmdpMs+37J+hO6GKOTYTb4rrtGzO2ZeR3lT3Z/UEQMpYDDOXwvZU+xNuknjZ5jS9aXzQOSJEmSJI0yc7jmcIepEff5W8zhjrnMvIHiD6rKnJWZFw0qnt017D1v0udePcjM/wS+0mGXd0bE0YOKByAiJiLiRV28xFqALtXlGoxmzjVlMa+q+DjguV2qYd+pg2AdhTQerKGQJEmSVCXzz+afh6lJ94bNPzdQZn4c6PQgir+IiEMHFU8FmvSZ2WXccxw/LFm/fqBR3KsO8TTxPNYSjUAdwrjPYUtSl2txmjnfWIcwZF5L78UaBGl8WIcgjTEbuEuSJFXjlR229bX4IjMT+HDJ5g30/iTxTSXrD6D11MOIOAY4vsvXd+tvStYfCLyhomM01Q0l63t+Ymcrof4LvY6zm78H7irZ9oJensIeES8Dfnqpry/heQdExLHAezrscgXwwszcMaCQ1NkrOmw7q8uxvlWy/ukRsazLsfYQEfcBXtzLGCOuSXN7p/nhbyJitsJjdcM5/F6fKVl/bESsHmgkkvomIqaBE0s2l80DkiRJkiSNMnO45nCHqUn3+c3hCuC1FHNGu6WbptD90JT3vEmfe/Xul4GdJdtWA5+IiA2DCCQiVgGfoLs/6LQWYGk2lawf5DVYE+ea60vWH9aHY3lud9aU79RBsI5CGnHWUEiSJEnqA/PP5p+HqUn3hs0/N9cvA3Ml2zZQ5L/WDi6cnjTpM7PLuOc4yn7Guwcaxb3qEE8Tz2P15pdpbh3CuM9hvdhUst46hM6sQ6gHr6XvZQ2CNAasQ5BkA3dJkqQeRcTDKH8y1tcz88IBhNGpwONVvQycmWcBZT/DyfP+d747gdN6Of5uPtYhjt+PiCdUdJwmurxk/dN7eSplREwA7wPWLHWM+TLzRuAvOuzyvoh4VrfjRsSzqa7QZ3djf95FxD4UCbayBsxbgedl5nWDi6pZIuLBEfGpVnKs38d6EvD8Drv8e5dDliWU1gIv6HKse7Tml03AzFLHGAONmduBjwKXlmw7GnhnhcfqxtjP4bs5nfbFQVPAYwYbiqQ+egSwss36OUz6SZIkSZLGjDncPf53PnO4g9GY+/zmcAWQmddl5uaS5eohh9eU97wxn3v1LjO/Cbyjwy4PAj4bEfv3M46IeDjwbaDbedpagCWoyTVYE+eaS0vWz0bE0RUfy3O7s6Z8pw7C6VhHIY06aygkSZIkVcb88x7/O5/558FozL1h88/NlZlfpfPfAR5Pkf8aSPPgHjXmM7Obsc1xtGIsa0x86QBDAWoVTxPPY/Wg4XUIYzuH9aom1+JNnG8uLVlvHcJgeS19r9OxBkEaB9YhSGPOBu6SJEm961Tc0KkoojKZ+R3g3JLNT46IjT0e4n0l63+qdYP/ZSXbT8vMO3o8NgCZuR14U8nmGeDjEVH2hLKeRMThEfG8foxdkS+VrN8X+LWlDBgRk8A/AI9falAd/BFwRcm2KYr38l2tJ/N2FBGrIuLPgY+3XrvLrT1Hiedd66b/h4HDO+z2usz8xoBCaqoAnglsjojTWonL6g8ScSzw/g673E6RBOnGp4FtJdv+eDGf0xJvA35iia8dF42Z2zNzG/DmDru8LiL+pKrjRcSiErXjPofvLjPvpkj8tTNOyU9p1J1Usv6bmXnDIAORJEmSJKkGzOGawx22xtznbzGHuwgNOO9GUoPe86Z97tW7twJndth+AvDNiHhU1QeOiNUR8afA/wBHLmEIawGWbtjXYE2ca75H8Udq7by44mN5bnfQoO/UvrOOQhoLJ5Wst4ZCkiRJ0lKYfzb/PGxNuzds/nkRanrevRn4aoftjwTOjogfG1A8S9W0zww0IMcREY9sfXYPqWK83bwYuG/Jtv9tSjx90MTzWL1rah1C7eewmhv2tXgT5xvrEGrAa+l7WYMgjY2TStZbhyCNCRu4S5Ik9SAilgMvKdm8E/iXAYZTVugxAZzS49in0v7m5TLgn4ADS163qcfj7iEzP0nRTLqddcCZEfHbrZu5PYmIiYh4YkR8guKJjy/tdcw++hyQJdveHBEv6mawiFhLce7+bK+BtYoYfAABAABJREFUtdNKAryc4jPSziTwy8DFEfG3EfGUiDgyIla2ii2OjIinRcTfA5cAv8Se/7a5keJmdVXxfpLxPe/eDjy5w/a/ycx/HlQwI2AC+GngGxHxlYj4mYiY7XXQKLwM+DJwQIdd/ywzb+tm7NYNwn8v2bwROK31XbgoETEdEf8A/Ho3cYypps3t7wc+22GXN0XEByJi36UeIyL2j4h3UCRVFxvXJxnfOXy+ss/yEwcahaR+KivWKPv8S5IkSZI0kszhmsOtiabd5zeHW6Jh593Iash73qjPvXrXetD1c4GLOux2X+B/IuIvI6JTPn9RWn8w/SbgAuBXgemljGMtQE+GfQ3WuLkmM28FzinZ/OsR8bQKj+W5vYCGfKcOinUU0mizhkKSJElSJcw/m3+uiUbdGzb/XK7u511mbgWeRef81yHAWRHx3og4tKpj7/a3g8+vYLhGfWagMTmOWYrP7kWtvxV9dERELwNGxOOBvy3ZfBfwXw2Kp2qNO4/Vu6bWITRkDquzYV+LN26+sQ6hPryW3oM1CNLosw5BGnNTC+8iSZKkDp4LrC/Z9vnMvHaAsXyIIuHcLrF0CsUTy5ckMy+LiC/R/h+Rzyh52SUUzYSr9n+AhwIPbrNtCvhD4Oci4q+Af87MGxc7cESsp3jS2bMofq79eo52ADLzqoj4KNDuxvcE8OGIeAzwh53OySgaSb+c4nc4/2c/E3hsRSGTmV+OiF8G/rLDbvtRvN//p4uh54BXAhvKDt3FWLsbu/MuIl5A5yfi3gCcHhHPGUxEbf0gM38wxOP34sday99GxH8C/wF8ITOvXOwAreTVs4HXA49cYPfvA3+8xFj/nvKil6cAZ0TE6zPzG2UDtBIqz6f4Ljpi3uZzgGOXGNvIauLcTjH/fgM4uGT7y4BnRsQfA5sy85qFBoyIFcAzKZ52/XRgOXBrl3GN3Rxe4l+Ad1M8sXp3D4uIQzLzsiHEJNVGRBwCnLDI3ffvsO2QLq6PbsjMsxa5b0cRsQ/wuDabkvJCfUmSJEmSRpU5XHO4Q9fE+/zmcO/V1PNuDNT6PW/i5169y8wbI+Ingc+zdy58lwngF4BXR8SHKa4PTs/MHYs5RkQso3jfX0KRd1/Tc+AFawGWYNjXYA2ea04Djm+zfhb4r4g4G/gi8EPgNmBLyTiXZebZCxzLc3thtf5OHSDrKKQOmlxHYQ2FJEmSpIqZfzb/PHRNvDds/vleTTvvMvOGVv7rc8CRJbsF8Crg5Ij4d4r7rf+dmbd1c6yIWA08leLvZJ9LkTfoWRM/My1NyXFMUfyt6MuAyyPiNODjwDczsyzHMz/OQykaRf8fyvufvSczb25gPJVo8HmsHjW4DqEpc1jtDPtavMHzjXUI9eG1dMEaBKmDJtcggHUIkgo2cJckSerNqzpsG+g/rFo3Zc+i/U3LIyPi8ZnZyw3YTZQ/BaydUzNzqYnuUpl5W0Q8FTgLKHsy96HAnwJ/EhHfB/6H4umJtwA3U9wkXttaNlDcBHwoxdNmm+r3KG7WtnvqZFAkYF4TEV8AvgpcDtwB7EPxxNWHAU8CVrR5/W3AycDFVQacmX/VSq5X9aT7BN6QmZ+KiFNK9tm+pIHH87x7+wLb9wU+OohAOngr8JYhx9CrWeAFrYWIuBzYTPGU6suBmyieyj4FrKY4f+5Pce4cR/Hk5IXcDDx/sYUG82Xm5yPiX4GfLtnlEcD/RsS3gU8DP2odcw1FAuQEivllXZvX/gNwNc1OKPVTo+b2VoL2p4AvUZ6sX0sxv7ytdc6cTnEOXE9xrq+lKGw9qhX/MSzhae3z4hrHOXwvmXlzRPwH8Lw2m38aeNeAQ5Lq5onAP1cwzhNay2J8maJwoArPof39/jMz89KKjiFJkiRJUlOYwy1nDnewGnWfH8zhMhrn3chqyHveuM+9epeZl0bEY4H/pnPuezlFQ5FXAndGxDeAc4FLgRso8qUJrKI4P4+kOEcfyeJqA7qN21qApdvEcK/BmjjXvAf4LWBlyfYTWNwf6L2PohFVKc/thTXkO7XvrKOQFtTkOornYA2FJEmSpOqYfy5n/nmwGndv2Pxzc8+7Vv7rMcB/Upw7ZSYpGq8/F9jZ+r2cTXHv/QqKc3ALRRPLVa1lP+ABreUoFv+3gzcBd3bxYzTxM9PEHMd9gTe2lh0R8T3gW7vFdhPFObCS4nNxf4r8Z7uGu7u7jOJvyJseT68adx6rGk2sQ2joHFYnm7AOoVvWIdSE19IFaxCkBTW5BgGsQ5CEDdwlSZKWrPVUryeWbL4L+MQAw9nlg5Q/dfJV9PYEzY8Df83inp6aFDcp+yIzr4iIH6dIOBzTYdcAHtRaRlpmnh8R/5fiaYxlZoCntZbF2gY8LzMviYheQmwrM98eET8C/o6iOfVS3QW8OjM/3PrvsvN061IPMIbnnf9eHI77Um0S4VrgmZl5Xo/jvJ7iBuY+JduDxSexdvkM8IsUiTG10cS5PTPPbj3Z/dOUny+wtHOml7jGbQ4vcyrtk37Px6Sf1HRlhR+nDjQKSZIkSZKGzBxuR+ZwB6yJ9/nBHK7qre7veVM/9+pdZl4dEY8G/hL42UW8ZCXFHwadVFEI2ykaaHTLWoClGeo1WBPnmsy8PiJ+HfirSgcu57m9gLp/pw6QdRTSaLKGQpIkSVIlzD93ZP55wJp4bxjMPzdZZl7b+n38KcX98YVMAg9pLZWGQjHfvCkzb1j0ixr6maHZOY4piuazvTagvRV4bmbePGLxdK3B57Eq0NA6hCbPYcNmHUKXrEOoF6+l72ENgjS6rEOQxMSwA5AkSWqwV1J+PfXvmXnHIINp+RjlTwd/futJ5UuSmXe1xl+MMzLzkqUea5HxXAk8GnhvP4/TJJn5FxQJmKrcAfx0Zn6hwjH3kpkfonjy5UcpkgXd+g/gmN0KL6D9k0cBbl/C+PfwvNMS7RzScb8MPDIzv9nrQJl5LfBcikKnKvwnRbJtW0Xjjawmzu2Z+Q3g4cC3+nWMpXAOB+C/gKvarH90q7BYUgNFxD7AT7bZdBvFNbYkSZIkSePEHG45c7hD0MT7/GAOV/VW9/e8qZ979S4z787MVwM/BVw0qMNSNAg6JjP/tOsXWwuwJHW4BmviXJOZfw38Yb/Gn3csz+1FqPt36oBYRyGNGGsoJEmSJFXM/HM5889D0MR7w2D+uckyc2tmvgH4CeC7gz48RR7suMx8ZTfN2+8ZoIGfGXMcXA48ITPPHnYgLUOPp4nnsarTtDoE57Clq8O1eBPnG+sQ6sVracAaBGkkWYcgaRcbuEuSJC1BFI92PKXDLh8cUCh7yMybKJ5G2M4s8OIeD7Gp4v16kpl3thIOTwS+3afDXEpxw/bX+jR+pVqJ8NdTPIm0F+cAP56Z/9F7VAvLzEsz80XAA4A/Ac7ttDvwA+D/AQ/NzJ/KzIvn7bOu5LXXVhCr5526kpnfB44AfhX4CjDX50NeQvEd9YTMvKyqQTPzDODxwI96GGYH8EfAs1qJRC1CE+f2VuL30cBvUCRYKxua4uEES3vxmM/hmbmd9snzAH52wOFIqs7JwEyb9f+YmT0VH0uSJEmS1CTmcCvbryfjfh+2nSbe5wdzuG1cSoPOu1FX9/e8qZ97VaP1fj0YeAMwfy6syhbgfRQNK56XmecvdSBrAZZsU8X7da2Jc01m/i5wEnDmAI7lub0Idf9O7TfrKKSRZA2FJEmSpEqYf65sv56M+/2rdpp4bxjMP7dxKc06774IHE8xL27u8+FuAv4ceEArD/adXgZr4memxjmOq+nfZ2I7xWf+wZm52GPULZ6+aeJ5rGo1qQ6hxnNYE2yqeL+uNXG+sQ6hXsb9WtoaBGlkWYcgCbCBuyRJ0lI9ETisZNuNwGcGF8peOhV+vKqXgTPzLODCBXa7Ezitl+N0KzO/BDwMeDLwceDuHoabA75FUQDweOB+mfm7bZL7tZWZf0ORCP8QsLPLl58PvA54eK9J7aXIzAsy89cz8xhgNXACxfv6UxRPaD8BWJ2ZD8zMX83Msie2H1Oy/soKY/W806Jl5sWZ+f8y8zHAQcArgH8AzqMoKOrV7RRPVX4WcGRmvi8zqxh3D5n5TeAhwNsongS5WHPAJ4GHZebvZGa/m9gP0k0UScT5y3lVHqSJc3tmbs/MdwCHAL9Db093Px94B3BUZj67gtjGeQ7/e4rrtfl+NiImBx2MpEq8us26ncBfDDoQSZIkSZKGzBxuOXO4Q9bE+/y7mMNt7nk3Dur8njf5c6/eZebWzPxL4CiK+fL9wC09DruF4nrmNcDGzDylqvPDWoDu1eUarIlzTWZ+OTMfBxxB8Yff7wO+ClxO8Tvr9ufodCzP7UWq83fqAFhHIY0WaygkSZIkVcX8cznzz0PWxHvDu5h/bvR5t7P1d6vHA4+huN9yWUXDX0hxr/apwIGZ+cbMvKCisRv5maljjiMzz8/ME4D7AP8H+ARwXY/DXkXRKP0hrc/8opsf1i2efmvieaxqNakOoY5zWBPU5Vq8ifONdQj1M+bX0tYgSKPHOgRJAEQf+rlJkiRJQxURsxRPyDwROJaiUOYgYBWwjOLG3u2t5TqKm8Dfp2i2+7XMvGngQfdJRNyXImH9BIqChA2tBeAO4BrgAuCbwGeBb/aj6fMgRUQANwNr22z+hcz86z4d1/NOSxIR+wAPB46mSJoeTVEwsIaiCGk1xRNVt1F8bq+n+OxeCHwP+F/g7CyexjrIuGeBZwI/CRwHHAqso3hY3K755VzgDODfMrOqYpyx1+S5PSKOp5grHwkcCdyX4lzfNU/eAdxK8QT471OcQ1/IzF6eRL2YuMZqDo+Iv6JIQM/37Mz890HHI2npIuIxwJltNn00M1806HgkSZIkSZLKjNt92E6afJ9/qczhalDq+p6P4+dee4uIKYrzcvfz81BgH2AWWA7soDhPb6RoMHIxRc70GxTn6NYBxGktQEM513Tmud2dun6n9ot1FNJosIZCkiRJksbHuN2/6mQc7w2bf66XiDiK4m8FT6BomnoIcCCwElgBTAJbuTcHdjVFM9XvU/x97Ncz86oBxtu4z0zdcxwRcQTF5+KBFOfAEcABFJ+N1UBSfC5uozgHvgdspvgd/0/VDWzrFk8/NPE8Vn80oQ6h7nOYOnO+6czze/HG7VraGgRpdFiHIGl3NnCXJEmSNFIi4uEUCaN2HpeZ7W6KSJI0NiLiUIqE+My8TZ/LzCcPISRJSxQRHwZePG91Aidk5ubBRyRJkiRJkiTtzRyuJEmS6sw6Cmk0WEMhSZIkSdJ4MP8sSZIkqc6sQZBGh3UIknY3MewAJEmSJKliP1+yfgvw9UEGIklSHWXmj4D3tNn0pIg4YdDxSFqaiLgf8II2mz5mwk+SJEmSJEk1Yw5XkiRJtWUdhdR81lBIkiRJkjRWzD9LkiRJqi1rEKTRYB2CpPls4C5JkiRpZETEQcBLSjZ/OTO3DjIeSZJq7I+Au9qs/81BByJpyX4NmJy3bifw5iHEIkmSJEmSJLVlDleSJEkNYR2F1GzWUEiSJEmSNAbMP0uSJElqCGsQpOazDkHSHmzgLkmSJGkkREQA7wOWl+zykQGGI0lSrWXm1cBftdn0vIg4etDxSOpORBwInNxm06mZef6g45EkSZIkSZLaMYcrSZKkprCOQmouaygkSZIkSRoP5p8lSZIkNYU1CFKzWYcgqR0buEuSJEkaiohYV+FYAbwDeFLJLjcCH6vqeJIkjYi3A9fPWzeBT3yVmuDX2bvo+A7gd4cQiyRJkiRJkkaEOVxJkiSNOesopGayhkKSJEmSpBoy/yxJkiRpzFmDIDWXdQiS9mIDd0mSJEnD8ssRcWZEPKWXQSJiFfAvwJs67PbnmXlnL8eRJGnUZOYtwG+02fTSiDh+wOFIWqSIOAz4+Tabfj8zrxxwOJIkSZIkSRot5nAlSZI0tqyjkJrHGgpJkiRJkmrN/LMkSZKksWUNgtRM1iFIKmMDd0mSJEnD9Bjg0xFxXkS8OSLuv9gXRsSGiPht4BLgBR12vQh4Z49xSpI0qv4Z+Nq8dQG8YwixSFqcPwRm5q37AfDngw9FkiRJkiRJI8gcriRJksaZdRRSs1hDIUmSJElSvZl/liRJkjTOrEGQmsc6BEltRWYOOwZJkiRJYygi3gL8XptNVwNnA5uB64BbgLuAtcA+wCHAY4GHUtyU7GQr8PjM/N8qYpYkaRRFxMOAr7P3wx6fkpmfHUJIkkpExHEU18rzr4OflJmfH3xEkiRJkiRJGiXmcCVJkiTrKKSmsIZCkiRJkqR6M/8sSZIkSdYgSE1iHYKkTqaGHYAkSZIkzXMQ8IzW0osdwMkWXkiS1FlmfguYHHYckhaWmZvZO0EvSZIkSZIk9Zs5XEmSJI0N6yikZrCGQpIkSZKkxjL/LEmSJGlsWIMgNYd1CJI6sYG7JEmSpFF0K/CKzPzUsAPRYETECcAhw45jNz/IzB8MOwhJkiRJkiRJkiSpJszhSurIvL8kSZIkSZIkSZIWyfyzJGlB1iFIkiRJkqpiA3dJkiRJwzLXp3H/E/iFzLy0T+Ornt4AnDzsIHbzVuAtww5CkiRJkiRJkiRJ6oI5XEnDZN5fkiRJkiRJkiRpdJh/liQNm3UIkiRJkqRKTAw7AEmSJElj623Ak4F/AK7qcawtwEeBx2bmMy28kCRJkiRJkiRJkqSumcOVJEmSJEmSJEmSJFXB/LMkSZIkSZKkkTA17AAkSZIkjafM3AF8rrUQEYcDjwaOAw4HDgMOBFYCs8A0sA24E7gauBQ4B/hf4AuZedcg45ckSZIkSZIkSZKkUWIOV5IkSZIkSZIkSZJUBfPPkiRJkiRJkkaFDdwlSZIk1UJmXgJcAnxo2LFIkiRJkiRJkiRJ0rgzhytJkiRJkiRJkiRJqoL5Z0mSJEmSJElNNTHsACRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiSpLiIzhx2DJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJNXCxLADkCRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkqS6sIG7JEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJLXYwF2SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSWmzgLkmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEktNnCXJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpJapYQcgSZIkdSMiAji4i5fc3q9YJEmSJO1hdRf7XpWZ2bdIJEmSJEmSJC2KOXhJkiSptszBS5IkSZIkSQ1jDl6SJEmqLXPwkiRpyWzgLkmSpKY5GLhi2EFIkiRJ6sl9gCuHHYQkSZIkSZIkc/CSJEnSCDAHL0mSJEmSJNWDOXhJkiSp+czBS5KkPUwMOwBJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJqgsbuEuSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElSiw3cJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJKnFBu6SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmS1GIDd0mSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElqsYG7JEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJLXYwF2SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSWmzgLkmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEktNnCXJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpBYbuEuSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElSy9SwA5AkSZK6dHs3O19++eWsWbOmX7E00o/99eeX/Nr/ef1PVhiJxsHtW+7msN94LTt27hzK8a/4039k9fIVQzm2mu+XPv6dYYcw9t79vIcOOwSNsLU/9/yO26/7mw/zyc3/y4se8ZgBRdRst912G/e97327eUlX1/WSJEmSJEmS+sYcvCRJklQz5uAlSZIkSZKkxjIHL0mSJNWMOXhJktQrG7hLkiRppK1Zs8bE9W6OfddnmFy+csmvf+x7v8o5b3xKhRFp1K1Zs4ZHHf1A/uei8wd+7KMPOJiN+x8w8ONqNLz2o5uZmV017DDG3ps+fTF//8Ljhh2GRtDEy59BTE/D9HJYtR623gl33XbP9jjsePbbsIHJZctYvXo1ETHEaCVJkiRJkiSpPszBS5IkSZIkSZIkSZJUDXPwkiRJkiRJUv1NDDsASZIkSYNx7Ls+U6txND6e+MCHDuW4Jxxyv6EcV8332o9uHnYI2o3vh6o28YqfglX7wIFHEAcdSazeAKs2AEXj9jjs+Hv2PfF+R/O1iy8YVqiSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJGlIbOAuSZIkjYGqm67bxF3d+IkHDKeB+/GH2sBd3bNZeD35vqhXmcmZl1zCxC+9BjY+gNjnYGJmxT3bY/lK4tDj9nrdgw6+L9+/+ooBRipJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkurABu6SJEnSiOtXs3WbuGuxTrzf0ayYmRn4cU84xAbu6o5NwuvN90dLce3tt/POM77Mg971Tk56z98RK9cTEyW3RHOu7eoXP+IxfYxQkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiTVkQ3cJUmSpBHW7ybrNnHXYiybnuaxRz5o4Me1gbu6YXPwZvB90mLsnJvj0xeczws++H4Oecfb+PVP/xcX3HDDIl45B5l7rZ1dtqz6ICVJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJUq3ZwF2SJEkaUYNqrm4Tdy3GEx94zGAPOJesX7lqsMdUY9kUvFl8v1Tmsltu5ve/8DmOfOc7eMamf+Lj3zuXHXNzXY6ydwN3SZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZI0fmzgLkmSJI2gQTdVt4m7FvITD3zoYA+Yc0y8/BmDPaYayWbgzeT7pl227djBx889l6dvei/3+9N38NYvfJ7Lbrll6QNmtw3fJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEnSKLKBuyRJkjRihtXU1ibu6uQRv/0GyBzcAZetglXrmXjV87l7+/bBHVeNYhPwZvP9G2/nX389v/7f/8Wh73g7L/jQ+/nMBReQlXzP5GC/ryRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJUi1NDTsASZIkSdXZ1cz2xI0H8LUrrx348Y9912c4541PGfhxVW8TJz8HVq6H2AE7tw3moCvXEzMri//75t/moQcdxPEHb+SEgzdy/MEHc9xBB7Nq2bLBxKJasvn3aHjtRzfz9y88bthhaEDu3r6d0879Lv/0ja9zxqWX9O9AOQcx2b/xJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElS7dnAXZIkSRoRdWlGbBN3XXv77Xzx4ov44kUX8t6vfYXYeH8A8u5b4I7rBxPE1L3N2SOC715zDd+95hpOPftb96w7esO+HH/wRh62cSPHtxq7r1uxYjDxaajqMl+qGjZxH32br7qK937z63xw87e5dcuWARxxDnJiAMeRJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEl1ZQN3SZIkaQTUrRmxTdzHy21btvDlSy7mixddyBcvuohzr73mnm0xNXPvjtOzgwloYoqY6PzP3czk/Buu5/wbrucj39l8z/r77bMPxx+8kRMO3sirH/FI9l25ss/BatDqNl+qGjZxHz13bdvG+799Nu/95tf51pVXDiGCHMIxJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElSXdjAXZIkSWq4smbEJ248gK9dee1gg9mNTdxH15bt2/nqZZe1GrZfyDeuvIKdc3MLv3ByGiYmYW5nfwOcWrbkl158001cfNNN/Ou53+WVD3t4hUGpDmzePtps4j5adszN8av/9R/ctX37cALIRXyvSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZKkkWUDd0mSJKnB6t6M2Cbuo2Hn3BxnX3UlX7zoQr5w0YV85dJL2bJjR9fjRAQ5PQtbb+9DlLvpoYH7LhvXrOGA1asrCEZ1Uff5UtWwifvoWLN8OS966LH887e+OaQIkmtvv93vAkmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSxtTEsAOQJEmStDRNaUZ87Ls+M+wQ1IMzLrmY/f7wrZz4N3/Fb33m03zhwguX1Lz9HjOz1QVXpoIG7scfvLGCQFQXTZkvVQ3f79Hxs4945FCPf+q3vzXU40uSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpOGxgbskSZLUQE1rTtu0eHWvo/fdj1u3bKluwOkV3e0/tQxWrIfla2FqORCLe02PTrCB+8hw/hlP7d73ubnk4hvv5MsX3jD4gLQkJ973EB60//5DO/57v/ENMnNox5ckSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkScNjA3dJkiSpYbppRnzixgP6F0iXMdhEuZkOXL2aB+9f3XkUk9MwOV2+w+QMrFgLaw6CDfcj1h9CrNqXWL0/sf6+sO8RsP4QWH0ArFhXNISP3f5pG5MwMdVznMdvtIH7KHDeGW+v/ehmbrprG2ddfCP/8D+X8iv/fi7v+MIP+fDZV3D7lh3DDk+LEBG8+hGPHNrxf3jjDZxxySVDO74kSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSRoeG7hLkiRJDdL0ZsRNj39cPfGII6sdcHr23v8/MQXL1xQN2fc5nNjnUGLV/sSyVcTE5F4vjQhiahmxfA2xaj9i3X1gw/1g/aGw+kBYuYGI6DnEEw4+uOcxNFzONwL4zf84j/d/83K+dcUt3LVtJwAJfP+624cbmBbtZcedwMzk3t8Hg/Leb359aMeWJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEnDYwN3SZIkqSGa2Iz4xI0H7LWuiT/HuHvikRU3cF++GlbtD/scCvscRqw+oGjIPjm1pOGKpu4zxPLVxIq1PYe3/8pVbFzT+zgaHucZLeS8a24bdghapH1XruQ5D3rw0I7/r+d+l5vvvmtox5ckSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkScNhA3dJkiSpAXppRtyuifqw2Vy5WR5/+OFMRFQ2XkyvIFasJSZniArHrcrxGw+uZVxaHOcXLcZ519xOZg47DC3Sqx/xqKEde8uOHXxo8+ahHV+SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJA2HDdwlSZKkmmtqM+KFGsc39ecaR2uXr+DhG+8z7DAG5oSDNw47BC2R84oW69YtO7jq1i3DDkOL9IT73Y/D1+8zlGPPTE5yze23D+XYkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRpeGzgLkmSJNVYU5sRL9S8fZem/nzj6IlHHDnsEAbm7V8+Y9ghaAmcT9St711jU+6mmJiY4JJbbhn4cf/sGc/kit/8bf7gyU8Z+LElSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSdJw2cBdkiRJqqkqmxEvtqH6MNh0uRnGqYE7BJO/8zvDDkJdcB7RUpx37W3DDkGLVMzJg7iNGRCTrWWKX/rxx7JhduUAjitJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkurGBu6SJElSDTW5GfFSmsU3+ecdFz926KHDDmEgggn2WXk/1q7YyJrf/3M+dM4POffaG9m+c27YoamE84eW6ofX38m2HX626+6eB2pEANGXY0xNLGfV8gPZZ/VRzC7bF2KidTxJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkjSupoYdgCRJkqQ9jWsz4td+dDN//8Ljhh2GSqx661spGufmsEPpq6nJ5UxMTDLBCqYnV/DG//4KADOTEzxov/Ucc+AGHnrABo45cAMP3G8dy6f8Z/Uwjet8qWrsmEsuuP4OHnLQmmGHohL3NG/fJSYgd1YydjDBspm1LJ9ex9Tk8nvWL59aw13bbqrkGJIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkqbnsNCdJkiTVSD+bEZ+48QC+duW1fRt/1zF6YRP3+tm6Yydrfv/tzM7sw86dW9m6/ZZhh9RXuzfx3d22nXNsvuZGNl9z4z3rJiO4/77reOiBG4rlgA08aP/1rJyZHlS4Y83m7arCX555sd87NbVX83ageJBIb6YnZ1k2s45lU6uJmNhr+8TEFDOTK9m2886ejyVJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkprLBu6SJElSTdiMuGAT9+HaOTfHd6+9iTN/dDVnXno1p19yBetm7wPA9h13j20D93Z2ZnLe9Tdz3vU385HvXggUrYVfdMyRvPsZj+lThALnS1XL7536ade8PWKS5dNryLltbOnyu6h47TqWT69jcnJmwf2XT6+xgbskSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSWPOBu6SJElSDYxCM+ITNx5Q2Vg20x2czOTCm27lzEuv5swfXc3/XHYNt2zZds/2iIl7/v/U5HKCCZK5AUQWTE+uYHpqJdOTsyRz7Ni55Z5lLrf35ahTE4tv4N5OAvusWFZNMGprFOZL1Y/fO/Uxv3n79OQsy6fXMDO5kohgZxcN3KenVrF8eh0zU6uIiEXHMD05y0RMdhO2JEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEkaMTZwlyRJkoZskM2IT9x4AF+78tq+jFs1m+n2z1W33cmZP7r6nqbt19xx16JeFxFMT82ybccdfYlramJ50bB9apbpydk9mscDzEytuuf/z+XOe5q579y5hR1zW9g5t23+kF0JJpiYmOlpDICHHrih5zHUns3b1U9+7wzfrubtEzHF8uk1LJtaw+TEnrcvJydmmJ6cZfvO9t9dEzHN8pm1LJtex+TE9JLiiAgOWXPMkl4rSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZJGgw3cJUmSpCGyGXFnNtOtxk13b+ErP7qGM390NWf96Gouuum2JY81PbmysgbuRRPeVsP2qZVMxOSiXzsRk8xMrWRmauU96+ZyJzt3bi0au8+1mrvPbV18PJPLiIiufoZ2bODeH86XGgS/d4Zn8nd+h5mpVSyfWsPM1GzHfZfPrGP73Xs2cJ+ZWs3ymXVMT66sZC6/e+fdzGUyUcFYkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiSpeWzgLkmSJA3JqDQjPnHjAX0d32a6vbn81jt4xN+eRlY03vTUSlh8T/Q9TMQU01Mr72naPjkxXVFUu8afZGJqlundGv9mzrFjrtXUfeeupu5b2r5+anJ5zzGsnJni8PVreh5HexqV+VLN4PfOYJ1/wy084m/+mX1WHr7oB3nMTK0mYpKJmGTZ9DqWT69lYqLa25w72cmZP7qaxx92cKXjSpIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZKkZrCBuyRJkjRAmcllN9/N2z5/wdBiOHHjAXztymuHdvylsJnu0t1nzUoOWj3LVbffVcl4kxMzREySuXPBfSMmmZ6cZXpqJTOTK5mYmCYiKoljsSImmJ5cwfTkinvWZSY7d2/qPlf879RE7w3cj9l/AxMD/hlHnc3bNQx+7/TXndu286kfXMoHzvkh37jyOlbMrO/q9RETrFt5OBMx1dfvlQ9svsAG7pIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkjSkbuEuSJEl9tnMuufCGO9h85a1svvJWbrpr+7BDqsyJGw8Y2LFsprs0EcFjDj2Ij557UWXjzUyuZOuO29ptvbdh+9RKJieWDbxh+2JEBFOTy5mavLdhe2YC2fPYxxy4T89j6F42b9cw+b1TrczkO9feyAc2X8DHz7uEO7b1dj00OTFdUWTl/vuCy7jxri1smO39AR+SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJKlZbOAuSZIk9cH2nXOcd+3tbL7iVs656lbu3LZz2CGNBJvpLs1jK2zgDjA9dW8D96nJFUxPFg3bpyZX1LJh+2IUcfce+0MP2NB7MAJs3q568Hund7du2cq/fu9iPnjODzn3upuGHU5Xts/N8bFzL+L/PPLBww5FkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiQNmA3cJUmSpIrdeOc23vqZH7B1x9ywQ+mrEzceMJTj2ky3e4897KBKx5uZWsWaFfdlemqWiIlKx266Yw60gXsVbN6uOvF7p3uZydcuv5YPnvNDPnX+pWzZ0dwH2XzwnAt47SMe1NgHlEiSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpKWx054kSZJUsX1mp1k1MznsMDoaVvP1qtjcuTsHrV7JkfusqWy8iYkpZqZX2bx9nsw5jtqwdthhNJ6fb9WR5+XiXHfn3fz1/57Lj7/nEzznQ5/mY9+7qNHN2wEuuPFWvnnl9cMOQ5IkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkDZjd9iRJkqSKRQTHbVw37DD6qg4N4G2m253HHnbwsEMYeTvmtvGwd39u2GE0mp9r1ZnnZ3s75+b44sVX8LOf+BLH//VH+f0vfZOLbrpt2GFV6gPnXDDsECRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJ0oDZwF2SJEnqg+Pus3bYIfRNHZq372Iz3cV77KEHDTuEkbfPsn2ZmZjk+Hd9lrnMYYfTOH6e1QSep/e64tY7eOdZm3nk3/0rL/no5/mP83/EjrnRmvs2zC7n9Y96CL944jHDDkWSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJA3Y1LADkCRJkkbRkRtWDjuEBZ248QC+duW1ww6jZ6/96Gb+/oXHDTuM2vuxQw4kgCa21p2MCeYyyZpHv2pqBaumlwPwhL85i+M3ruWo/VZx9L6rOHq/Vdxn3QomJ2LIUdaTTbHVJOP8vbN95xyfvfByPnDOBXzp4itrPisv3UwsY3ZyBZtf/1PMTE4OOxxJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkjQENnCXJEmS+uB1p50z7BD64sSNBww7hLbGuZnuYq1fsYxtO7cwPbl82KEsaIJgdmoFKydnWTm1gmUTMwBsndvGlp1b2TK3tfjfnVuZq1H74OWTy+75/xMRnHPVbZxz1W33bp+a4Ih9V3L0fqs4at9VHLXfSg5bP8vU5MQwwq0Nm7ericb1e+f8G27mVZ/40rDD6IupmGLd9GqmYxlJ8bANm7dLkiRJkiRJkiRJkiRJkiRJkiRJkiRJkiRJkjS+bOAuSZIkVcxmxMMxrs10F+vYd32G7TvvrmUD9wBWTC5n5dQsKydXsGJyORGx137LJ5ft0SQ9M9k2t32Phu5379zKHHMDjH63+CaWddy+Zccc37vmdr53ze33rJueDO63z0qO2q9o6P6Ywzewz+xMv0OtDedLNdk4fu885IANHHvgBs655sZhh1KZ1VMrWTe9hlVTs0QE2+Z2cMf2rcMOS5IkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkDZkN3CVJkqQKNa0Z8YkbD+BrV1676H3rbhyb6S7k+ju28vT3nsXKqRnuv/aBXH73NcMOCSiana+cWsHKqVlmJ5czERNdjxERLJucYdnkDGunVwNFU/ftuWOPhu5b5rayM3dW/SPsYfnEsrZN5xeyfWdy/vV3cP71dwDwgP1Xj00D96bNl1I74/i98/Jjj+aca7467DB6MjMxzbrpNaybXs3UxJ63R6djkgmCOXJI0UmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpDqwgbskSZJUEZsR18M4NtPd3W1btrP5yls5+8pbOfuKW7j8lrtZNb0MgOmJSQKG0pJ2ZmKalZOzrabtK5iMyb4cJyKYiWlmJqZZM70KKJq678idRVP3ua3cvXMLW3ZuZUeFTd2XTy7reYypieCwfWYriKb+nC81Ssbte+e5DzqcN3/xG9y9fcewQ+lKEKyZXsW66TXMTi4vfehG8XCQKe7euX3AEUqSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSpDqxgbskSZJUgVFvRnzixgOGHUJXxqmZ7pbtO/nO1bfx7Stv4ewrbuWH199R2qB9IiZYMbmcu3Zu6XtcUzHJyqlZVk6uYOXULNMTw/vnZ0QwHVNMT0yxmpX3rN8xt6PV0H1r0dx951a259IaElfRwP3wDbPMTE70PE7djfp8qfE0Tt87q5fN8OwHHMZHvnvhsENZlGUTM6yfWcPa6dWLfnjIjA3cJUmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEkaezZwlyRJknrU9GbEJ248gK9dee2ww6jcqDbT3bFzju9fdwdnX3ELZ195C+ddczs75spatu9t5dRsXxq4T8YEs61m7SsnVzAzMU1EVH6cKk1NTLFqYopVU/c2dd+ZO/do6L5lbivb5hZu4rt8ovcG7kfvu6rnMequ6fOl1Mmofu+08/Jjj651A/cJgrXTq1k3s4blE8u6/j6ajAmmJxbX7F2SJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJI0mG7hLkiRJPRiHZsQnbjxg2CEs2Sg0081MLrrxTs6+4lbOvuIWvnP1bdy9feeSx1s5uYLrK4griFbD9mJZSoPcOpqMSVZNzbJqavaedTtzbo+G7lt2bmXr3LY9Xrd8cqbnYx+132g3cB+H+VIahe+dxXj4xv04esNaLrjx1mGHsocVk8tZP72GNdOrmIiJnsZaNuFtU0mSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSxpmdiCRJkqQlGodmxE1u3r5L05vpziX88ie/y53blt60fXcrJpczQTBHLum1KydXsHJqltnJ5SPRsH0xJmPinkb1u8zlHFt2bmPL3FZ2zO3ouVEwjHYD93GYL6Vdmv69sxgRwcuOPZrf++I3hh0KkzHB2unVrJ9ey7IKHqaxy/TEJDfdtY19ZqsbU5IkSZIkSZIkSZIkSZIkSZIkSZIkSZIkSZIkNUfvHeYkSZKkMTRqzYhHoVF7J01+vyYnguM2rq1svIhgdrdG5J0sm5hhn5l13HfFQdx/9f04fOV92H/5BlZOrRib5u1lJmKC2anl7DOzlv2Xb6hgPDhiw2wFkdVPkz9/0mJ97cpr91iOfddnhh1S373gIUcwPTG8W4srJ1ewccUBHLXqcA5cvl+lzduh+L78zPnXVTqmJEmSJEmSJEmSJEmSJEmSJEmSJEmSJEmSJElqDhu4S5IkSV0al2bEo9bUvcnv2wkb11U63srJ9g3cZyamWT+9hvusOJCjVx3OEasO4cDl+7J6eiWT4T8f++nQ9bMsm5ocdhiVa/LnTlrI7g3b2xn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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "img = Image.open(\"example_run/curvature_framewise_10_10_P_50.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5f1d4a17", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating 20 window size curvature plots\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for a moving window of size 20. Plots created are for the windows 0-20, 20-40, 40-60, 60-80 and 80-100 for our case.\n", + "experiment.curvature(window=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "fb28fa32", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/curvature_moving_window_10_10_P_window_20_40.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "fca4f397", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for frame - 50\n" + ] + } + ], + "source": [ + "#create force plots for the 50th frame\n", + "experiment.force_graph(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "4fbb46a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "img = Image.open(\"example_run/force_specific_frame_POPS_50.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "8d872672", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/force_specific_frame_POPC_50.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "ce0b921d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for moving window of size - 20\n" + ] + } + ], + "source": [ + "#create force plots for a moving window of size 20.\n", + "experiment.force_graph(window=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "b8fe37fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/force_moving_window_POPC_40_to_60.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "16ea78fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "img = Image.open(\"example_run/force_moving_window_POPS_40_to_60.png\")\n", + "img.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "28a99874", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n", + "PDB with BFactor values created in 16.094574451446533 seconds\n" + ] + } + ], + "source": [ + "#Create new PDB files with bFactor Loaded.\n", + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_combined\", mode=\"combined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "3e091a0c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n" + ] + } + ], + "source": [ + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_atomwise\", mode=\"atomwise\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.13" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": true, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "300.312px" + }, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/example_het_aa.ipynb b/example_het_aa.ipynb new file mode 100644 index 0000000..e263f04 --- /dev/null +++ b/example_het_aa.ipynb @@ -0,0 +1,1270 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "101a7955", + "metadata": { + "toc": true + }, + "source": [ + "

Table of Contents

\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5651f343", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n", + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n", + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n" + ] + } + ], + "source": [ + "from pyLFDA import LFDA\n", + "from IPython.display import SVG, display, Image" + ] + }, + { + "cell_type": "markdown", + "id": "dc16479b", + "metadata": {}, + "source": [ + "# Create an Experiment\n", + "the `LFDA()` class is central in running analysis on your simulations. \\\n", + "\\\n", + "Arguments:\n", + "- `experiment_name` : Name of the experiment. Uses this to create a directory to store outputs in. If not specified time-stamp of experiment will be used.\n", + "- `pdb_filename` : Path of the PDB file to be used.\n", + "- `gro_filename` : Path of the GRO file to be used.\n", + "- `trr_filename` : Path of the TRR file to be used.\n", + "- `tpr_filename` : Path of the TPR file to be used.\n", + "- `ndx_filename` : Path of the NDX file to be used.\n", + "- `gfda_version` : Version of Gromacs FDA to be used. Creates a directory with the name to store it and uses it for further experiments. Currently, we support these cersions only - ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b14a0b36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making MDA Universe from PDB and TRR file\n", + "Parsing GRO file to calculate numbers of atoms, atoms information and box vectors\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/step7_1.gro file parsed. with 155271 atoms in 0.954578161239624 seconds\n" + ] + } + ], + "source": [ + "#To do analysis, first we create an LFDA() object.\n", + "#It stores all files required to do the experiment.\n", + "#The argument names are self explanatory.\n", + "experiment = LFDA(experiment_name=\"lfda_het_aa\", trr_filename=\"het-aa/step7_comb_no80.trr\", tpr_filename=\"het-aa/step7_1.tpr\", ndx_filename=\"het-aa/index.ndx\", pdb_filename=\"het-aa/step7_1.pdb\", gro_filename=\"het-aa/step7_1.gro\", gfda_version=\"v2020.4-fda2.10.2\")\n", + "#The specified version will automatically be downloaded and be used for any subsequent experiments if the files are run from the same directory." + ] + }, + { + "cell_type": "markdown", + "id": "3828752d", + "metadata": {}, + "source": [ + "### About the System\n", + " - This is a heterogenous atomistic Martini System with the following molecules:\n", + " - POPE: 144\n", + " - POPC: 360\n", + " - PSM: 18\n", + " - POPS: 18\n", + " - POPI: 60\n", + " - SOD: 144\n", + " - CLA: 66\n", + " - TIP3: 25343" + ] + }, + { + "cell_type": "markdown", + "id": "bca862b5", + "metadata": {}, + "source": [ + "## Run GROMACS FDA\n", + "`run_fda()` create `.pfi` file and then generating a PFA file using GROMACS FDA. \\\n", + " \\\n", + " Arguments : \n", + " - `group1` : 1st group selected\n", + " - `group2` : 2nd group selected\n", + " - `residue_list` : [group1, group2]\n", + " - `pfi_filename` : Name of the PFI file to be generated. It is inferred from the experiment class if None.\n", + " - `pfa_filename` : Name of the PFA file to be generated. It is inferred from the experiment class if None." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c8ca7097", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating PFI file\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/pfi_Jan-05-2022_2223.pfi file created in 0.011579751968383789 seconds \n", + "Running Gromacs FDA\n", + "ResidueRenumber: auto\n", + "Vector2Scalar: norm\n", + "Pairwise interactions selected: all\n", + "Pairwise forces for groups: POPS and POPC\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " :-) GROMACS - gmx mdrun, 2020.4-dev-20201029-4b5790511-unknown (-:\n", + "\n", + " GROMACS is written by:\n", + " Emile Apol Rossen Apostolov Paul Bauer Herman J.C. Berendsen\n", + " Par Bjelkmar Christian Blau Viacheslav Bolnykh Kevin Boyd \n", + " Aldert van Buuren Rudi van Drunen Anton Feenstra Alan Gray \n", + " Gerrit Groenhof Anca Hamuraru Vincent Hindriksen M. Eric Irrgang \n", + " Aleksei Iupinov Christoph Junghans Joe Jordan Dimitrios Karkoulis\n", + " Peter Kasson Jiri Kraus Carsten Kutzner Per Larsson \n", + " Justin A. Lemkul Viveca Lindahl Magnus Lundborg Erik Marklund \n", + " Pascal Merz Pieter Meulenhoff Teemu Murtola Szilard Pall \n", + " Sander Pronk Roland Schulz Michael Shirts Alexey Shvetsov \n", + " Alfons Sijbers Peter Tieleman Jon Vincent Teemu Virolainen \n", + " Christian Wennberg Maarten Wolf Artem Zhmurov \n", + " and the project leaders:\n", + " Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel\n", + "\n", + "Copyright (c) 1991-2000, University of Groningen, The Netherlands.\n", + "Copyright (c) 2001-2019, The GROMACS development team at\n", + "Uppsala University, Stockholm University and\n", + "the Royal Institute of Technology, Sweden.\n", + "check out http://www.gromacs.org for more information.\n", + "\n", + "GROMACS is free software; you can redistribute it and/or modify it\n", + "under the terms of the GNU Lesser General Public License\n", + "as published by the Free Software Foundation; either version 2.1\n", + "of the License, or (at your option) any later version.\n", + "\n", + "GROMACS: gmx mdrun, version 2020.4-dev-20201029-4b5790511-unknown\n", + "Executable: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/v2020.4-fda2.10.2/bin/./gmx_fda\n", + "Data prefix: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/v2020.4-fda2.10.2\n", + "Working dir: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb\n", + "Command line:\n", + " gmx_fda mdrun -rerun /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/step7_comb_no80.trr -s /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/step7_1.tpr -pfi /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/pfi_Jan-05-2022_2223.pfi -nt 1 -pfa /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/pfa_file.pfa -pfn /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/index.ndx\n", + "\n", + "\n", + "Back Off! I just backed up md.log to ./#md.log.10#\n", + "Compiled SIMD: None, but for this host/run AVX2_256 might be better (see log).\n", + "The current CPU can measure timings more accurately than the code in\n", + "gmx mdrun was configured to use. This might affect your simulation\n", + "speed as accurate timings are needed for load-balancing.\n", + "Please consider rebuilding gmx mdrun with the GMX_USE_RDTSCP=ON CMake option.\n", + "Reading file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/step7_1.tpr, VERSION 2020 (single precision)\n", + "Residue number collision detected, residues will be renumbered.\n", + "\n", + "Back Off! I just backed up /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/pfa_file.pfa to /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/#pfa_file.pfa.1#\n", + "Changing nstlist from 20 to 100, rlist from 1.2 to 1.311\n", + "\n", + "\n", + "Using 1 MPI thread\n", + "\n", + "Non-default thread affinity set, disabling internal thread affinity\n", + "\n", + "Using 1 OpenMP thread \n", + "\n", + "\n", + "WARNING: Using the slow plain C kernels. This should\n", + "not happen during routine usage on supported platforms.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Binary mode: 0\n", + "Threshold: 1e-10\n", + "Normalize punctual stress per residue: 0\n", + "Ignore missing potentials: 1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "Back Off! I just backed up traj.trr to ./#traj.trr.10#\n", + "\n", + "Back Off! I just backed up ener.edr to ./#ener.edr.10#\n", + "\n", + "WARNING: This run will generate roughly 26829 Mb of data\n", + "\n", + "starting md rerun 'Title', reading coordinates from input trajectory '/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-aa/step7_comb_no80.trr'\n", + "\n", + "trr version: GMX_trn_file (single precision)\n", + "Reading frame 1500 time 151000.000 " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GMX RUN completed in 11941.354944229126 seconds\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/pfa_file.pfa PFA file is generated in /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n", + "\n", + " Core t (s) Wall t (s) (%)\n", + " Time: 11911.247 11911.262 100.0\n", + " 3h18:31\n", + " (ns/day) (hour/ns)\n", + "Performance: 0.000 inf\n", + "\n", + "GROMACS reminds you: \"Our struggle today is not to have a female Einstein get appointed as an assistant professor. It is for a woman schlemiel to get as quickly promoted as a male schlemiel.\" (Bella Abzug)\n", + "\n" + ] + } + ], + "source": [ + "#Run GROMACS FDA to calculate pairwise forces.\n", + "#This command creates a .pfa file containing pairwise forces between atoms.\n", + "experiment.run_fda(group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"], pfa_filename=\"pfa_file.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ae52caa1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading PFA file generated by Gromacs FDA\n" + ] + } + ], + "source": [ + "#Running GROMACS FDA can be a time consuming process.\n", + "#If you want to continue experimenting on a .pfa file you had previously generated.\n", + "#you can just load it and continue working.\n", + "#you dont need to run `run_fda()` if you load your .pfa file.\n", + "experiment.load_pfa(pfa_filename=\"lfda_het_aa/pfa_file.pfa\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "7c3220aa", + "metadata": {}, + "source": [ + "# Parsing PFA File\n", + "The `.pfa` file generated by GROMACS FDA is parsed for further analyses. The file can be parsed in two ways depending on your use case. \n", + " - `Average Parsing` - Allows for calculation of averaged properties over all frames. set `mode` argument to `average`.\n", + " - `Framewise Parsing` - Allows for calculation of either properties for a specific frame or for a moving window over all frames. set `mode` argument to `framewise`.\n" + ] + }, + { + "cell_type": "markdown", + "id": "244134ea", + "metadata": {}, + "source": [ + "## Averaged Parsing" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "71eacbc9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as average\n", + "Parsed PFA file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/generated_pfa_average.pfa created with 155271 atoms in 8260.70097541809 seconds\n", + "Summed PFA file parsed in 0.21112513542175293 seconds\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed as average or framewise.\n", + "experiment.framewise=False #we specify that we need to parse pfa as average.\n", + "experiment.parse_pfa(file_name=\"generated_pfa_average.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "34535933", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Average parsed PFA file\n", + "Summed PFA file parsed in 0.297621488571167 seconds\n" + ] + } + ], + "source": [ + "#Parsing .pfa can also be time consuming.\n", + "#You can just load the parsed .pfa to continue experimenting.\n", + "#The generated pfa file should be parsed as average to further parse it as average and similarly for framewise.\n", + "#using this function in \"average\" mode automatically sets \"experiment.framewise\" to \"False\".\n", + "experiment.parse_parsed_pfa(file_name=\"lfda_het_aa/generated_pfa_average.pfa\", mode=\"average\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "cfb0ce9f", + "metadata": {}, + "source": [ + "# Curvature \n", + "This function generates curvature plots using MDAnalysis and displays them along with pairwise forces of the selected groups and the angle they make with the z-axis. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None.\n", + " - `num_x_bins`: (int) Number of bins in x-direction. default: 10.\n", + " - `num_y_bins`: (int) Number of bins in y-direction. default: 10.\n", + " - `split`: (bool) Split Calculations into Upper and Lower Membranes. default: False" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b56980da", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Generate curavture plots\n", + "experiment.curvature()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b32b9e60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:00:01.140050\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise curvature plots\n", + "display(SVG(\"lfda_het_aa/curvature_averaged_10_10_P.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d6904e19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Splitting the curavture into upper and lower membrane.\n", + "experiment.curvature(split=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8ffaefcc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:05:21.743191\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/curvature_averaged_10_10_P_Lower.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "f49cba58", + "metadata": {}, + "source": [ + "# Cluster \n", + "This function clusters the selected residues. \\\n", + "\\\n", + "Arguments:\n", + " - `attached_ligands`: (str) Ligand 1 to be clustered. default: group 1 previously selected(\"POPS\" in this example).\n", + " - `lipids_to_cluster`: (str) Ligand 2 to be clustered. default: group 2 previously selected(\"POPC\" in this example).\n", + " - `protein_residue_names`: (list) All residues except for attached_ligands and lipids_to_cluster.\n", + " - `box_side_length`: (int) Length of a box size. default: 6." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b82a3205", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making clutering plots\n" + ] + } + ], + "source": [ + "experiment.cluster(lipids_to_cluster=\"POPS\", attached_ligands=\"POPC\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "38ed92fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T14:26:23.815033\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/cluster_POPS_POPC.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "dd437787", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making clutering plots\n" + ] + } + ], + "source": [ + "experiment.cluster(lipids_to_cluster=\"POPS\", mode=\"single\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9114774b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T14:26:23.815033\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/cluster_POPS_POPC.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "efcface9", + "metadata": {}, + "source": [ + "# Force \n", + "This function calculates the pairwise force between selected groups 1 and 2. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3172b4a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating average force plot\n", + "Average Force plots created and saved\n" + ] + } + ], + "source": [ + "experiment.force_graph()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8ef0e088", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T14:26:55.646114\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/force_averaged_['POPS', 'POPC'].svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "80a0e072", + "metadata": {}, + "source": [ + "# MSD and Diffusion\n", + "This function calculates MSD values and calculates the diffusion coefficient using MDAnalyses." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "152fe73e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating diffusion coefficient\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diffution coefficient and MSD plotted\n" + ] + } + ], + "source": [ + "experiment.msd()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "8468aa57", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T14:28:56.152411\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/MSD.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "6311f1f8", + "metadata": {}, + "source": [ + "# Framewise parsing of PFA\n", + "This section illustrates how to generate framewise and moving window plots." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0fce9087", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as framewise\n", + "Parsed PFA file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_aa/generated_pfa_framewise.pfa created with 155271 atoms in 8379.448315143585 seconds\n", + "Summed PFA file parsed in 915.2075605392456 seconds\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed asframewise.\n", + "experiment.framewise = True\n", + "experiment.parse_pfa(file_name=\"generated_pfa_framewise.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e76b9bf9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Framewise parsed PFA file\n", + "Summed PFA file parsed in 369.3622009754181 seconds\n" + ] + } + ], + "source": [ + "#using this function in \"average\" mode automatically sets \"experiment.framewise\" to \"True\".\n", + "experiment.parse_parsed_pfa(file_name=\"lfda_het_aa/generated_pfa_framewise.pfa\", mode=\"framewise\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "0a725d58", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot for frame 50\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for the 50th frame\n", + "experiment.curvature(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "769bae75", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:13:47.161452\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "display(SVG(\"lfda_het_aa/curvature_framewise_10_10_P_50.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "d208323e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:13:47.842604\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/curvature_framewise_angles_framewise.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5f1d4a17", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating 100 window size curvature plots\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for a moving window of size 100. Plots created are for the windows 0-100, 100-200 and so on for our case.\n", + "experiment.curvature(window=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "fb28fa32", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:22:27.854767\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/curvature_moving_window_10_10_P_window_500_600.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "41a23f78", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-26T03:22:40.529497\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/curvature_moving_window_angles_windowed_100.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "fca4f397", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for frame - 50\n" + ] + } + ], + "source": [ + "#create force plots for the 50th frame\n", + "experiment.force_graph(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "d62807fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T18:49:56.151563\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "display(SVG(\"lfda_het_aa/force_specific_frame_POPS_50.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "8d872672", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T18:49:56.375764\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/force_specific_frame_POPC_50.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "ce0b921d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for moving window of size - 100\n" + ] + } + ], + "source": [ + "#create force plots for a moving window of size 20.\n", + "experiment.force_graph(window=100)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b8fe37fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T21:18:12.389779\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/force_moving_window_POPC_400_to_500.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "16ea78fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-06T21:16:44.798542\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/force_moving_window_POPS_400_to_500.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "28a99874", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n", + "PDB with BFactor values created in 32.759814500808716 seconds\n" + ] + } + ], + "source": [ + "#Create new PDB files with bFactor Loaded.\n", + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_combined\", mode=\"combined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "3e091a0c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n", + "PDB with BFactor values created in 31.09873628616333 seconds\n" + ] + } + ], + "source": [ + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_atomwise\", mode=\"atomwise\")" + ] + }, + { + "cell_type": "markdown", + "id": "6360f7e0", + "metadata": {}, + "source": [ + "# Lipid Angles\n", + "\n", + "This function calculates the angle between the vector of the selected lipids and the z-axis. The vector is defined between the P atom and the specified atom. The function allows you to calculate the angle individually for each lipid or group them together to calculate the average angle. \\\n", + "\\\n", + "Arguments: \n", + " - `selection`: (list) List of lipids for which the angle has to be calculated.\n", + " - `grouping`: ('combine'/'individual') Whether to group the selected lipids or keep them individual.\n", + " - `c_atom_name`: (str) Name of the atom to which the lipid vector is to be defined. default: 'C4B'." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "940378de", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating lipid angles with vector as P -> C4B\n" + ] + } + ], + "source": [ + "#Lipid angles grouped indivudally with vector defined as P -> C4B\n", + "experiment.angles(selection=['POPC', 'POPS', 'POPE', 'PSM'], grouping = 'individual', c_atom_name = 'C4B')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "f868e0f0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-27T11:49:04.098069\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_aa/angles_framewise_P_to_C4B_POPC_POPS_POPE_PSM.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "adefc45b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating lipid angles with vector as P -> C4B\n" + ] + } + ], + "source": [ + "#Lipid angles grouped indivudally and spllt into Upper and Lower Membranes, with vector defined as P -> C4B\n", + "experiment.angles(selection=['POPC', 'POPS', 'POPE', 'PSM'], grouping = 'individual', c_atom_name = 'C4B', split = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "afbc321c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-27T11:55:19.637022\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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"display(SVG(\"lfda_het_aa/angles_framewise_P_to_C4B_POPC_POPS_POPE_PSM_Lower.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "9cf02993", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating lipid angles with vector as P -> C4B\n" + ] + } + ], + "source": [ + "#Lipid angles grouped with vector defined as P -> C4B\n", + "experiment.angles(selection=['POPC', 'POPS', 'POPE', 'PSM'], grouping = 'combine', c_atom_name = 'C4B')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "4592cb4b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-27T11:56:04.401538\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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+ "display(SVG(\"lfda_het_aa/angles_framewise_combined_P_to_C4B.svg\"))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.0" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": true, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "300.312px" + }, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/example_het_cg.ipynb b/example_het_cg.ipynb new file mode 100644 index 0000000..a86cd99 --- /dev/null +++ b/example_het_cg.ipynb @@ -0,0 +1,1283 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "101a7955", + "metadata": { + "toc": true + }, + "source": [ + "

Table of Contents

\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5651f343", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n", + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n", + "MDAnalysis : INFO MDAnalysis 2.0.0 STARTED logging to 'MDAnalysis.log'\n" + ] + } + ], + "source": [ + "from pyLFDA import LFDA\n", + "from IPython.display import SVG, display, Image" + ] + }, + { + "cell_type": "markdown", + "id": "dc16479b", + "metadata": {}, + "source": [ + "# Create an Experiment\n", + "the `LFDA()` class is central in running analysis on your simulations. \\\n", + "\\\n", + "Arguments:\n", + "- `experiment_name` : Name of the experiment. Uses this to create a directory to store outputs in. If not specified time-stamp of experiment will be used.\n", + "- `pdb_filename` : Path of the PDB file to be used.\n", + "- `gro_filename` : Path of the GRO file to be used.\n", + "- `trr_filename` : Path of the TRR file to be used.\n", + "- `tpr_filename` : Path of the TPR file to be used.\n", + "- `ndx_filename` : Path of the NDX file to be used.\n", + "- `gfda_version` : Version of Gromacs FDA to be used. Creates a directory with the name to store it and uses it for further experiments. Currently, we support these cersions only - ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']. " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b14a0b36", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making MDA Universe from PDB and TRR file\n", + "Parsing GRO file to calculate numbers of atoms, atoms information and box vectors\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/step7_production.gro file parsed. with 14564 atoms in 0.07831740379333496 seconds\n" + ] + } + ], + "source": [ + "#To do analysis, first we create an LFDA() object.\n", + "#It stores all files required to do the experiment.\n", + "#The argument names are self explanatory.\n", + "experiment = LFDA(experiment_name=\"lfda_het_cg\", trr_filename=\"het-cg/step7_production.trr\", tpr_filename=\"het-cg/step7_production.tpr\", ndx_filename=\"het-cg/index.ndx\", pdb_filename=\"het-cg/step7_production.pdb\", gro_filename=\"het-cg/step7_production.gro\", gfda_version=\"v2020.4-fda2.10.2\")\n", + "#The specified version will automatically be downloaded and be used for any subsequent experiments if the files are run from the same directory." + ] + }, + { + "cell_type": "markdown", + "id": "f1c4660b", + "metadata": {}, + "source": [ + "### About the System\n", + " - This is a heterogenous course grained Martini System with the following molecules:\n", + " - POPC: 360\n", + " - POSM: 18\n", + " - POPE: 144\n", + " - POPI: 60\n", + " - POPS: 18\n", + " - W: 7184\n", + " - NA: 78" + ] + }, + { + "cell_type": "markdown", + "id": "bca862b5", + "metadata": {}, + "source": [ + "## Run GROMACS FDA\n", + "`run_fda()` create `.pfi` file and then generating a PFA file using GROMACS FDA. \\\n", + " \\\n", + " Arguments : \n", + " - `group1` : 1st group selected\n", + " - `group2` : 2nd group selected\n", + " - `residue_list` : [group1, group2]\n", + " - `pfi_filename` : Name of the PFI file to be generated. It is inferred from the experiment class if None.\n", + " - `pfa_filename` : Name of the PFA file to be generated. It is inferred from the experiment class if None." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c8ca7097", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating PFI file\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/pfi_Dec-17-2021_1935.pfi file created in 0.004339694976806641 seconds \n", + "Running Gromacs FDA\n", + "ResidueRenumber: auto\n", + "Vector2Scalar: norm\n", + "Pairwise interactions selected: all\n", + "Pairwise forces for groups: POPS and POPC\n", + "Binary mode: 0\n", + "Threshold: 1e-10\n", + "Normalize punctual stress per residue: 0\n", + "Ignore missing potentials: 1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " :-) GROMACS - gmx mdrun, 2020.4-dev-20201029-4b5790511-unknown (-:\n", + "\n", + " GROMACS is written by:\n", + " Emile Apol Rossen Apostolov Paul Bauer Herman J.C. Berendsen\n", + " Par Bjelkmar Christian Blau Viacheslav Bolnykh Kevin Boyd \n", + " Aldert van Buuren Rudi van Drunen Anton Feenstra Alan Gray \n", + " Gerrit Groenhof Anca Hamuraru Vincent Hindriksen M. Eric Irrgang \n", + " Aleksei Iupinov Christoph Junghans Joe Jordan Dimitrios Karkoulis\n", + " Peter Kasson Jiri Kraus Carsten Kutzner Per Larsson \n", + " Justin A. Lemkul Viveca Lindahl Magnus Lundborg Erik Marklund \n", + " Pascal Merz Pieter Meulenhoff Teemu Murtola Szilard Pall \n", + " Sander Pronk Roland Schulz Michael Shirts Alexey Shvetsov \n", + " Alfons Sijbers Peter Tieleman Jon Vincent Teemu Virolainen \n", + " Christian Wennberg Maarten Wolf Artem Zhmurov \n", + " and the project leaders:\n", + " Mark Abraham, Berk Hess, Erik Lindahl, and David van der Spoel\n", + "\n", + "Copyright (c) 1991-2000, University of Groningen, The Netherlands.\n", + "Copyright (c) 2001-2019, The GROMACS development team at\n", + "Uppsala University, Stockholm University and\n", + "the Royal Institute of Technology, Sweden.\n", + "check out http://www.gromacs.org for more information.\n", + "\n", + "GROMACS is free software; you can redistribute it and/or modify it\n", + "under the terms of the GNU Lesser General Public License\n", + "as published by the Free Software Foundation; either version 2.1\n", + "of the License, or (at your option) any later version.\n", + "\n", + "GROMACS: gmx mdrun, version 2020.4-dev-20201029-4b5790511-unknown\n", + "Executable: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/v2020.4-fda2.10.2/bin/./gmx_fda\n", + "Data prefix: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/v2020.4-fda2.10.2\n", + "Working dir: /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb\n", + "Command line:\n", + " gmx_fda mdrun -rerun /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/step7_production.trr -s /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/step7_production.tpr -pfi /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/pfi_Dec-17-2021_1935.pfi -nt 1 -pfa /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/pfa_file.pfa -pfn /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/index.ndx\n", + "\n", + "\n", + "Back Off! I just backed up md.log to ./#md.log.3#\n", + "Compiled SIMD: None, but for this host/run AVX2_256 might be better (see log).\n", + "The current CPU can measure timings more accurately than the code in\n", + "gmx mdrun was configured to use. This might affect your simulation\n", + "speed as accurate timings are needed for load-balancing.\n", + "Please consider rebuilding gmx mdrun with the GMX_USE_RDTSCP=ON CMake option.\n", + "Reading file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/step7_production.tpr, VERSION 2020 (single precision)\n", + "Residue number collision detected, residues will be renumbered.\n", + "Changing nstlist from 20 to 25, rlist from 1.212 to 1.26\n", + "\n", + "\n", + "Using 1 MPI thread\n", + "\n", + "Non-default thread affinity set, disabling internal thread affinity\n", + "\n", + "Using 1 OpenMP thread \n", + "\n", + "\n", + "WARNING: Using the slow plain C kernels. This should\n", + "not happen during routine usage on supported platforms.\n", + "\n", + "Back Off! I just backed up traj.trr to ./#traj.trr.3#\n", + "\n", + "Back Off! I just backed up ener.edr to ./#ener.edr.3#\n", + "\n", + "WARNING: This run will generate roughly 5006 Mb of data\n", + "\n", + "starting md rerun 'Martini system', reading coordinates from input trajectory '/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/het-cg/step7_production.trr'\n", + "\n", + "trr version: GMX_trn_file (single precision)\n", + "Reading frame 9000 time 900000.000 " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GMX RUN completed in 615.8366215229034 seconds\n", + "/mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/pfa_file.pfa PFA file is generated in /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Last frame 10000 time 1000000.000 \n", + "\n", + "NOTE: 15 % of the run time was spent in pair search,\n", + " you might want to increase nstlist (this has no effect on accuracy)\n", + "\n", + " Core t (s) Wall t (s) (%)\n", + " Time: 615.627 615.642 100.0\n", + " (ns/day) (hour/ns)\n", + "Performance: 140341.243 0.000\n", + "\n", + "GROMACS reminds you: \"What is a Unix or Linux sysadmin's favourite hangout place? Foo Bar.\" (Anonymous)\n", + "\n" + ] + } + ], + "source": [ + "#Run GROMACS FDA to calculate pairwise forces.\n", + "#This command creates a .pfa file containing pairwise forces between atoms.\n", + "experiment.run_fda(group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"], pfa_filename=\"pfa_file.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ae52caa1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading PFA file generated by Gromacs FDA\n" + ] + } + ], + "source": [ + "#Running GROMACS FDA can be a time consuming process.\n", + "#If you want to continue experimenting on a .pfa file you had previously generated.\n", + "#you can just load it and continue working.\n", + "#you dont need to run `run_fda()` if you load your .pfa file.\n", + "experiment.load_pfa(pfa_filename=\"lfda_het_cg/pfa_file.pfa\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\", \"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "7c3220aa", + "metadata": {}, + "source": [ + "# Parsing PFA File\n", + "The `.pfa` file generated by GROMACS FDA is parsed for further analyses. The file can be parsed in two ways depending on your use case. \n", + " - `Average Parsing` - Allows for calculation of averaged properties over all frames. set `mode` argument to `average`.\n", + " - `Framewise Parsing` - Allows for calculation of either properties for a specific frame or for a moving window over all frames. set `mode` argument to `framewise`.\n" + ] + }, + { + "cell_type": "markdown", + "id": "244134ea", + "metadata": {}, + "source": [ + "## Averaged Parsing" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "71eacbc9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as average\n", + "Parsed PFA file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/generated_pfa_average.pfa created with 14564 atoms in 263.49041056632996 seconds\n", + "Summed PFA file parsed in 0.06467533111572266 seconds\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed as average or framewise.\n", + "experiment.framewise=False #we specify that we need to parse pfa as average.\n", + "experiment.parse_pfa(file_name=\"generated_pfa_average.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "34535933", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Average parsed PFA file\n", + "Summed PFA file parsed in 0.029172658920288086 seconds\n" + ] + } + ], + "source": [ + "#Parsing .pfa can also be time consuming.\n", + "#You can just load the parsed .pfa to continue experimenting.\n", + "#The generated pfa file should be parsed as average to further parse it as average and similarly for framewise.\n", + "#using this function in \"average\" mode automatically sets \"experiment.framewise\" to \"False\".\n", + "experiment.parse_parsed_pfa(file_name=\"lfda_het_cg/generated_pfa_average.pfa\", mode=\"average\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "markdown", + "id": "cfb0ce9f", + "metadata": {}, + "source": [ + "# Curvature \n", + "This function generates curvature plots using MDAnalysis and displays them along with pairwise forces of the selected groups and the angle they make with the z-axis. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None.\n", + " - `num_x_bins`: (int) Number of bins in x-direction. default: 10.\n", + " - `num_y_bins`: (int) Number of bins in y-direction. default: 10.\n", + " - `split`: (bool) Split Calculations into Upper and Lower Membranes. default: False" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "b56980da", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Generate curavture plots\n", + "experiment.curvature()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "b32b9e60", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-24T23:27:40.066819\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise curvature plots\n", + "display(SVG(\"lfda_het_cg/curvature_averaged_10_10_P.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "424aeea9", + "metadata": {}, + "source": [ + "### Description of the Curvature Plots\n", + " - The first row contains the 2d contours for the `average_z_surface`, `average_mean_curvature` and `average_gaussian_curvature` respectively.\n", + " - The second row represents the values in the Y-Bin corresponding to the maximum(Green) and minimum(Purple) of the respective measure among the the Y-Bins.\n", + " - The third row contains the 2d force contours for the selected lipids." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d6904e19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[68.64947455 67.87826523 43.27094985] 1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#Splitting the curavture into upper and lower membrane.\n", + "experiment.curvature(split=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8ffaefcc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-24T23:39:08.840373\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/curvature_averaged_10_10_P_Upper.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "23de26ea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-24T23:39:10.067707\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/curvature_averaged_10_10_P_Lower.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "f49cba58", + "metadata": {}, + "source": [ + "# Cluster \n", + "This function clusters the selected residues. \\\n", + "\\\n", + "Arguments:\n", + " - `attached_ligands`: (str) Ligand 1 to be clustered. default: group 1 previously selected(\"POPS\" in this example).\n", + " - `lipids_to_cluster`: (str) Ligand 2 to be clustered. default: group 2 previously selected(\"POPC\" in this example).\n", + " - `protein_residue_names`: (list) All residues except for attached_ligands and lipids_to_cluster.\n", + " - `box_side_length`: (int) Length of a box size. default: 6." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b82a3205", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making clutering plots\n" + ] + } + ], + "source": [ + "experiment.cluster(lipids_to_cluster=\"POPS\", attached_ligands=\"POPC\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "38ed92fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-04T18:16:00.637350\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/cluster_POPS_POPC.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "dd437787", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Making clutering plots\n" + ] + } + ], + "source": [ + "experiment.cluster(lipids_to_cluster=\"POPS\", mode=\"single\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9114774b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-04T21:33:53.383922\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/cluster_POPS.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "efcface9", + "metadata": {}, + "source": [ + "# Force \n", + "This function calculates the pairwise force between selected groups 1 and 2. \\\n", + "\\\n", + "Arguments: \n", + " - `specific_frame`: (int) Frame to calculate forces for. default: None.\n", + " - `window`: (int) Moving Window size. default: None." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "3172b4a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating average force plot\n", + "Average Force plots created and saved\n" + ] + } + ], + "source": [ + "experiment.force_graph()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8ef0e088", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2021-12-18T17:24:28.160272\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/force_averaged_['POPS', 'POPC'].svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "80a0e072", + "metadata": {}, + "source": [ + "# MSD and Diffusion\n", + "This function calculates MSD values and calculates the diffusion coefficient using MDAnalyses." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "152fe73e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating diffusion coefficient\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diffution coefficient and MSD plotted\n" + ] + } + ], + "source": [ + "experiment.msd()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "8468aa57", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2021-12-18T19:34:04.810978\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/MSD.svg\"))" + ] + }, + { + "cell_type": "markdown", + "id": "6311f1f8", + "metadata": {}, + "source": [ + "# Framewise parsing of PFA\n", + "This section illustrates how to generate framewise and moving window plots." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0fce9087", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parsing PFA file as framewise\n", + "Parsed PFA file /mnt/c/Users/bhava/Desktop/work/lfda/pyLFDA/het_memb/lfda_het_cg/generated_pfa_framewise.pfa created with 14564 atoms in 760.5916864871979 seconds\n", + "PFA file parsed in 654.4875428676605 seconds\n" + ] + } + ], + "source": [ + "#The .pfa file created, is parsed asframewise.\n", + "experiment.framewise = True\n", + "experiment.parse_pfa(file_name=\"generated_pfa_framewise.pfa\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e76b9bf9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Framewise parsed PFA file\n", + "Summed PFA file parsed in 965.686830997467 seconds\n" + ] + } + ], + "source": [ + "#using this function in \"framewise\" mode automatically sets \"experiment.framewise\" to \"True\".\n", + "experiment.parse_parsed_pfa(file_name=\"lfda_het_cg/generated_pfa_framewise.pfa\", mode=\"framewise\", group1=\"POPS\", group2=\"POPC\", residue_list=[\"POPS\",\"POPC\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0a725d58", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating 50 specific frame curvature plot\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "INFO:MDAnalysis.analysis.base:Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "INFO:MDAnalysis.analysis.base:Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "INFO:MDAnalysis.analysis.base:Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for the 50th frame\n", + "experiment.curvature(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "769bae75", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-25T12:54:25.888076\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "display(SVG(\"lfda_het_cg/curvature_framewise_10_10_P_50.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2f3cd2d2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-25T02:54:16.925484\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Framewise lipid angles\n", + "display(SVG(\"lfda_het_cg/curvature_framewise_angles_framewise.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5f1d4a17", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating 1000 window size curvature plots\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Choosing frames to analyze\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Starting preparation\n", + "MDAnalysis.analysis.base: INFO Finishing up\n", + "MDAnalysis.analysis.base: INFO Finishing up\n" + ] + } + ], + "source": [ + "#create curvature plots for a moving window of size 20. Plots created are for the windows 0-1000, 1000-2000 and so on till 10k for our case.\n", + "experiment.curvature(window=1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fb28fa32", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-25T12:39:47.002744\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/curvature_moving_window_10_10_P_window_5000_6000.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b633ba0c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-25T12:39:52.111959\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Gangle isnt working\n", + "display(SVG(\"lfda_het_cg/curvature_moving_window_angles_windowed.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "fca4f397", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for frame - 50\n" + ] + } + ], + "source": [ + "#create force plots for the 50th frame\n", + "experiment.force_graph(specific_frame=50)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "4fbb46a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2021-12-18T21:04:52.841639\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#visualise the plots\n", + "display(SVG(\"lfda_het_cg/force_specific_frame_POPS_50.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "8d872672", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2021-12-18T21:04:53.006689\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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"id": "ce0b921d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating framewise average force plot\n", + "Force plots created and saved for moving window of size - 20\n" + ] + } + ], + "source": [ + "#create force plots for a moving window of size 20.\n", + "experiment.force_graph(window=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "b8fe37fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2021-12-18T21:06:38.014336\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/force_moving_window_POPS_40_to_60.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "28a99874", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n", + "PDB with BFactor values created in 1466.0400023460388 seconds\n" + ] + } + ], + "source": [ + "#Create new PDB files with bFactor Loaded.\n", + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_combined\", mode=\"combined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "3e091a0c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading a new PDB file with bFactor\n", + "PDB with BFactor values created in 2111.4183835983276 seconds\n" + ] + } + ], + "source": [ + "experiment.bfactor_pdb(bfactor_pdb_filename=\"bfactor_pdb_atomwise\", mode=\"atomwise\")" + ] + }, + { + "cell_type": "markdown", + "id": "0eaa62f2", + "metadata": {}, + "source": [ + "# Lipid Angles\n", + "\n", + "This function calculates the angle between the vector of the selected lipids and the z-axis. The vector is defined between the P atom and the specified atom. The function allows you to calculate the angle individually for each lipid or group them together to calculate the average angle. \\\n", + "\\\n", + "Arguments: \n", + " - `selection`: (list) List of lipids for which the angle has to be calculated.\n", + " - `grouping`: ('combine'/'individual') Whether to group the selected lipids or keep them individual.\n", + " - `c_atom_name`: (str) Name of the atom to which the lipid vector is to be defined. default: 'C4B'." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5b54c4a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Calculating lipid angles with vector as P -> C4B\n" + ] + } + ], + "source": [ + "experiment.angles(selection=['POPC', 'POPS', 'POPE', 'POSM'], grouping = 'individual', c_atom_name = 'C4B')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "18d9a6e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(SVG(\"lfda_het_cg/angles_framewise_P_to_C4B_POPC_POPS_POPE_POSM_Upper.svg\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "fbc7df39", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-27T11:44:45.783270\n image/svg+xml\n \n \n Matplotlib 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"code", + "execution_count": 11, + "id": "8fb9afdc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/svg+xml": "\n \n \n \n \n 2022-01-27T11:45:19.086587\n image/svg+xml\n \n \n Matplotlib v3.5.1, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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"skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": true, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "300.312px" + }, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyLFDA/pyLFDA.py b/pyLFDA/pyLFDA.py index e75c308..38ca534 100644 --- a/pyLFDA/pyLFDA.py +++ b/pyLFDA/pyLFDA.py @@ -13,7 +13,17 @@ import subprocess from scipy.stats import linregress import traceback +import textwrap import errno +import copy +import re +import warnings +import logging +import faulthandler +import pickle +import string +import secrets +warnings.filterwarnings('ignore') class Point(): ''' @@ -114,6 +124,14 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t - ndx_filename : Path of the NDX file to be used. - gfda_version : Version of Gromacs FDA to be used. Creates a directory with the name to store it and uses it for further experiments. ''' + logging.getLogger('MDAnalysis.MDAKit.membrane_curvature').setLevel(logging.CRITICAL + 1) + logging.getLogger('MDAnalysis').setLevel(logging.INFO) + global logger + logging.basicConfig(format='%(name)s : %(levelname)s :\t%(message)s') + logger = logging.getLogger('pyLFDA') + logger.addHandler(logging.NullHandler()) + logging.getLogger('pyLFDA').setLevel(logging.INFO) + #faulthandler.enable() #for debugging purposes try: sys.tracebacklimit = -1 #Set Experiment Name @@ -172,12 +190,12 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t #1: Install Gromacs FDA if it not inilialized if not os.path.isdir(gfda_version): - print(f"Checking GROMACS FDA installation - {gfda_version}") + logger.info(f"Checking GROMACS FDA installation - {gfda_version}") version_control(gfda_version) - self.fda_bin_path = os.path.abspath(os.path.expanduser(os.path.expandvars(gfda_version+"/installation/bin"))) + self.fda_bin_path = os.path.abspath(os.path.expanduser(os.path.expandvars(gfda_version+"/bin"))) #Initialise MDA Universe - self.mda_universe() + self.create_mda_universe() self.group1 = None self.group2 = None self.force = None @@ -195,12 +213,12 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t self.summed_pfa_filename = None self.atom_dict = None - print("Parsing GRO file to calculate numbers of atoms, atoms information and box vectors") + logger.info("Parsing GRO file to calculate numbers of atoms, atoms information and box vectors") self.num_atoms, self.atom_info_list, self.box_vectors = parse_gro(self.gro_filename) except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_filename=None, pfa_filename=None): ''' @@ -229,7 +247,7 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ self.pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+pfa_filename))) #2: Create pfi file - print("Creating PFI file") + logger.info("Creating PFI file") create_pfi(path=self.pfi_filename, group_1=self.group1, group_2=self.group2, @@ -240,7 +258,7 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ ignore_missing_potentials="yes") #3: Running gmx fda - print("Running Gromacs FDA") + logger.info("Running Gromacs FDA") run_gmx_fda(fda_install_path=self.fda_bin_path, trr_filename=self.trr_filename, tpr_filename=self.tpr_filename, @@ -249,12 +267,12 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ index_file=self.ndx_filename, threads=self.parallel_theads) - print("{} PFA file is generated in {}".format(self.pfa_filename, self.experiment_name)) + logger.info("{} PFA file is generated in {}".format(self.pfa_filename, self.experiment_name)) return except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return def load_pfa(self, pfa_filename=None, group1=None, group2=None, residue_list=None,): @@ -267,28 +285,27 @@ def load_pfa(self, pfa_filename=None, group1=None, group2=None, residue_list=Non - residue_list : [group1, group2] ''' try: - print("Loading PFA file generated by Gromacs FDA") + logger.info("Loading PFA file generated by Gromacs FDA") self.pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(pfa_filename))) self.group1 = group1 self.group2 = group2 self.residue_list = residue_list except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) - def mda_universe(self,): + def create_mda_universe(self,): ''' Function to extract relevant information using MDAnalysis. ''' try: - print("Making MDA Universe from PDB and TRR file") + logger.info("Making MDA Universe from PDB and TRR file") self.mda_universe = mda.Universe(self.pdb_filename, self.trr_filename) self.mda_timestamp = [int(i.time) for i in self.mda_universe.trajectory] self.mda_residue_name = list(set(self.mda_universe.residues.resnames)) - except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) def parse_pfa(self, file_name=None): ''' @@ -303,22 +320,23 @@ def parse_pfa(self, file_name=None): else: self.summed_pfa_filename_framewise = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+file_name))) - print("Parsing PFA file as framewise") + logger.info("Parsing PFA file as framewise") create_summed_pfa(pfa_filename=self.pfa_filename, num_atoms=self.num_atoms, summed_pfa_filename=self.summed_pfa_filename_framewise, framewise=True) - + self.atom_dict_framewise = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename_framewise, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="framewise") else: if file_name==None: self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/pfa_averaged_"+self.timestamp+".pfa"))) else: self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+file_name))) - print("Parsing PFA file as average") + logger.info("Parsing PFA file as average") create_summed_pfa(pfa_filename=self.pfa_filename, num_atoms=self.num_atoms, summed_pfa_filename=self.summed_pfa_filename, @@ -327,9 +345,10 @@ def parse_pfa(self, file_name=None): self.atom_dict = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="average") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) def parse_parsed_pfa(self, file_name=None, mode=None, group1=None, group2=None, residue_list=None,): ''' @@ -343,24 +362,46 @@ def parse_parsed_pfa(self, file_name=None, mode=None, group1=None, group2=None, self.group2 = group2 self.residue_list = residue_list if mode == "average": - print("Loading Average parsed PFA file") + logger.info("Loading Average parsed PFA file") self.framewise = False self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(file_name))) self.atom_dict = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="average") elif mode == "framewise": - print("Loading Framewise parsed PFA file") + logger.info("Loading Framewise parsed PFA file") self.framewise = True self.summed_pfa_filename_framewise = os.path.abspath(os.path.expanduser(os.path.expandvars(file_name))) self.atom_dict_framewise = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename_framewise, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="framewise") else: raise ValueError("Mode not specified or Incorrect") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) + + def save_atom_dict(self, mode): + if mode == "average": + with open(f'{self.summed_pfa_filename.split(".")[0]}.pkl', 'wb') as fl: + pickle.dump(self.atom_dict, fl, protocol=pickle.HIGHEST_PROTOCOL) + logger.info(f'Database file saved at {self.summed_pfa_filename.split(".")[0]}.pkl') + elif mode == "framewise": + with open(f'{self.summed_pfa_filename_framewise.split(".")[0]}.pkl', 'wb') as fl: + pickle.dump(self.atom_dict_framewise, fl, protocol=pickle.HIGHEST_PROTOCOL) + logger.info(f'Database file saved at {self.summed_pfa_filename_framewise.split(".")[0]}.pkl') + + def load_database(self, database_file, mode): + if mode == "average": + with open(database_file, 'rb') as fl: + self.atom_dict = pickle.load(fl) + logger.info(f'Loaded database file') + elif mode == "framewise": + with open(database_file, 'rb') as fl: + self.atom_dict_framewise = pickle.load(fl) + logger.info(f'Loaded database file') def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): ''' @@ -369,7 +410,7 @@ def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): - mode : "atomistic" loads value per atom. "groupwise" loads value averaged for the entire group. ''' try: - if self.atom_dict==None: + if self.atom_dict==None and self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa(framewise=False) function before running this function") else: #if self.framewise: @@ -378,16 +419,16 @@ def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): if bfactor_pdb_filename==None: self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/bfactor_"+self.timestamp+os.path.basename(self.pdb_filename)[:-4]+".pdb"))) else: - self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+bfactor_pdb_filename))) + self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+bfactor_pdb_filename+".pdb"))) - print("Loading a new PDB file with bFactor") + logger.info("Loading a new PDB file with bFactor") bfactor_pdb(atom_dict=self.atom_dict if self.atom_dict!=None else self.atom_dict_framewise, pdb_filename=self.pdb_filename, bfactor_pdb_filename=self.bfactor_pdb_filename, mode=mode) except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) def force_graph(self, specific_frame=None, window=None): ''' @@ -401,7 +442,7 @@ def force_graph(self, specific_frame=None, window=None): if self.framewise==True: if self.atom_dict_framewise==None: raise ValueError("Force of atoms are not calculated yet, please run parse_pfa() function before running this function") - print("Creating framewise average force plot") + logger.info("Creating framewise average force plot") if specific_frame==None and window==None: create_average_residue_graph(atom_dict=self.atom_dict_framewise, plot_name=self.experiment_name+"/force_averaged") @@ -416,12 +457,12 @@ def force_graph(self, specific_frame=None, window=None): else: if self.atom_dict==None: raise ValueError("Force property of atoms are not calculated yet, please run parse_pfa() function before running this function") - print("Creating average force plot") + logger.info("Creating average force plot") create_average_residue_graph(atom_dict=self.atom_dict, plot_name=self.experiment_name+"/force_averaged") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=None, num_y_bins=None, split=False): ''' @@ -450,11 +491,10 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N num_y_bins = int(num_y_bins) try: if not specific_frame and not window: - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="average") - print("Creating curvature plot") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="average", split = split) + logger.info("Creating curvature plot") plot_curvature( universe=self.mda_universe, atom_dict=self.atom_dict if self.atom_dict!=None else self.atom_dict_framewise, - selection=selection, num_x_bins=num_x_bins, num_y_bins=num_y_bins, split=split, @@ -464,11 +504,10 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N if self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa() function before running this function") else: - print(f"Creating {specific_frame} specific frame curvature plot") - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="framewise") + logger.info(f"Creating curvature plot for frame {specific_frame}") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="framewise", split = split) plot_curvature_framewise( universe=self.mda_universe, atom_dict=self.atom_dict_framewise, - selection = selection, specific_frame=specific_frame, num_x_bins = num_x_bins, num_y_bins = num_y_bins, @@ -479,8 +518,8 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N if self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa() function before running this function") else: - print(f"Creating {window} window size curvature plots") - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="window") + logger.info(f"Creating {window} window size curvature plots") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="window", split = split) plot_curvature_window( universe=self.mda_universe, atom_dict=self.atom_dict_framewise, window_size = window, @@ -491,26 +530,27 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N plot_name=self.experiment_name+"/curvature_moving_window") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.print_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) + #sys.exit(0) return - def cluster(self, attached_ligands=None, lipids_to_cluster=None, protein_residue_names=None, box_side_length = 6): + def cluster(self, lipids_to_cluster=None, attached_ligands=None, protein_residue_names=None, mode="pair", box_side_length = 6): try: - print("Making clutering plots") - attached_ligands=self.group1 if attached_ligands == None else attached_ligands - Lipids_to_cluster=self.group2 if lipids_to_cluster == None else lipids_to_cluster - protein_residue_names = [x for x in self.mda_residue_name if x not in [attached_ligands, Lipids_to_cluster]] + logger.info("Making clutering plots") + lipids_to_cluster=self.group1 if lipids_to_cluster == None else lipids_to_cluster + attached_ligands=[None] if attached_ligands == None else [attached_ligands] + protein_residue_names = [x for x in self.mda_residue_name if x not in [attached_ligands, lipids_to_cluster]] if mode == "pair" else [x for x in self.mda_residue_name if x not in [lipids_to_cluster]] clustering_plots(pdb_file=self.pdb_filename, top_bottom='top', - Box_side_length=box_side_length, + box_side_length=box_side_length, protein_residue_names=protein_residue_names, attached_ligands=attached_ligands, - Lipids_to_cluster=Lipids_to_cluster, + lipids_to_cluster=lipids_to_cluster, + mode=mode, plot_name=self.experiment_name+"/cluster") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) + #sys.exit(0) return def msd(self, select='all', msd_type='xyz', fft=True, timestep=1, start_index=None, end_index=None): @@ -521,7 +561,7 @@ def msd(self, select='all', msd_type='xyz', fft=True, timestep=1, start_index=No - msd_type : MSD Type ''' try: - print("Calculating diffusion coefficient") + logger.info("Calculating diffusion coefficient") plot_msd(universe=self.mda_universe, select=select, msd_type=msd_type, @@ -531,8 +571,61 @@ def msd(self, select='all', msd_type='xyz', fft=True, timestep=1, start_index=No end_index=end_index, plot_name=self.experiment_name+"/MSD") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) + return + + def angles(self, selection, grouping, c_atom_name, split = False): + ''' + Function to plot the averaged angle with the z-axis for the selected lipids over all frames. + Arguments : + - select : MDUniverse Atom selection + - msd_type : MSD Type + ''' + try: + logger.info(f"Calculating lipid angles with vector as P -> {c_atom_name}") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, selection = selection, grouping = grouping, c_atom_name = c_atom_name, split = split, angles = True) + if grouping != 'combine': + if split == False: + color = iter(plt.cm.cmap_d['rainbow'](np.linspace(0, 1, len(selection)))) + for n, group in enumerate(selection): + plt.plot(list(range(len(angle[group]))), angle[group], linewidth=1, color=next(color), label=group, alpha=0.6) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(bbox_to_anchor=(1.04,0.5), loc="center left", borderaxespad=0) + plt.title(f'Lipid Angles P to {c_atom_name} {"_".join(selection)}', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_P_to_{c_atom_name}_{"_".join(selection)}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + for split in ["Upper", "Lower"]: + color = iter(plt.cm.cmap_d['rainbow'](np.linspace(0, 1, len(selection)))) + for n, group in enumerate(selection): + plt.plot(range(len(angle[split][group])), angle[split][group], linewidth=1, color=next(color), label=group, alpha=0.6) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(bbox_to_anchor=(1.04,0.5), loc="center left", borderaxespad=0) + plt.title(f'Lipid Angles P to {c_atom_name} {"_".join(selection)} {split} Membrane', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_P_to_{c_atom_name}_{"_".join(selection)}_{split}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + if split == False: + plt.plot(range(len(angle["Combined"])), angle["Combined"], linewidth=1, color='crimson', label="Combined") + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.title(f'Lipid Angles P to {c_atom_name} combined', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_combined_P_to_{c_atom_name}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + for split in ["Upper", "Lower"]: + plt.plot(range(len(angle[split]["Combined"])), angle[split]["Combined"], linewidth=1, color='crimson', label="Combined") + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.title(f'Lipid Angles P to {c_atom_name} combined {split} Membrane', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_combined_P_to_{c_atom_name}_{split}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + except: + logger.error(traceback.format_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) + #sys.exit(0) return def version_control(version): @@ -540,24 +633,26 @@ def version_control(version): if version not in ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']: raise ValueError("Please enter valid gromac version from list ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']") if not os.path.isdir(version): - print(f"Installing GROMACS FDA version {version}") - subprocess.run(["mkdir", "-p", f"{version}/installation"]) - os.chdir(version) - subprocess.run(["wget", f"https://github.com/HITS-MBM/gromacs-fda/archive/refs/tags/{version}.tar.gz", "-outfile", f"{version}.tar.gz"]) - subprocess.run(["tar", "-xvzf", f"{version}.tar.gz"]) - subprocess.run(["mkdir", "-p", f"gromacs-fda-{version[1:]}/build"]) - Installation_directory = os.getcwd()+'/installation' - Build_directory = os.getcwd()+f"/gromacs-fda-{version[1:]}/build" - os.chdir(Build_directory) - subprocess.run(["cmake", f"-DCMAKE_INSTALL_PREFIX={Installation_directory}", "-DGMX_BUILD_FDA=ON", "-DGMX_DEFAULT_SUFFIX=OFF", "-DGMX_BINARY_SUFFIX=_fda", "-DGMX_SIMD=NONE", "-DGMX_BUILD_UNITTESTS=OFF", "-DGMX_GPU=OFF", ".."]) - subprocess.run(["make", "-j", "1"]) - subprocess.run(["make", "check"]) - subprocess.run(["make", "install"]) - os.chdir("../../..") + logger.info(f"Installing GROMACS FDA version {version}") + subprocess.call(["sudo", "apt-get", "install", "libboost-all-dev", "libfftw3-3", "libfftw3-dev"]) + subprocess.run(["mkdir", "-p", f"{version}/"]) + subprocess.run(["git", "clone", f"https://github.com/HITS-MBM/gromacs-fda.git", "-b", f"{version}"]) + subprocess.run(["mkdir", "-p", f"gromacs-fda/build"]) + Installation_directory = os.getcwd()+f"/{version}" + os.chdir(f"gromacs-fda/build") + subprocess.check_call(["cmake", f"-DCMAKE_INSTALL_PREFIX={Installation_directory}", "-DGMX_BUILD_FDA=ON", "-DGMX_DEFAULT_SUFFIX=OFF", "-DGMX_BINARY_SUFFIX=_fda", "-DGMX_SIMD=NONE", "-DGMX_BUILD_UNITTESTS=ON", "-DGMX_GPU=OFF", ".."]) + subprocess.check_call(["make", "-j", "1"]) + subprocess.check_call(["make", "check"]) + subprocess.check_call(["make", "install"]) + os.chdir("../../") + subprocess.run(["rm", "-rf", "gromacs-fda"]) + logger.info(f"Installed GROMACS FDA version {version}") except: - print(traceback.format_exc()) + logger.error("Please ensure that you have the prerequisites for installing GROMACS-FDA. Please open a GItHub issue if you cannot get it to work") + logger.error(traceback.format_exc()) subprocess.run(["rm", "-rf", f"{version}/"]) - sys.exit(0) + subprocess.run(["rm", "-rf", "gromacs-fda/"]) + #sys.exit(0) return def create_pfi(path, group_1, group_2, force_type="all", onepair="summed", atombased="pairwise_forces_vector", residuebased="no", ignore_missing_potentials="yes"): @@ -593,23 +688,23 @@ def create_pfi(path, group_1, group_2, force_type="all", onepair="summed", atomb end_time = time.time() - print("{} file created in {} seconds ".format(path, (end_time-start_time))) + logger.info("{} file created in {} seconds ".format(path, (end_time-start_time))) except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return def run_gmx_fda(fda_install_path, trr_filename, tpr_filename, pfi_filename, pfa_filename, index_file, threads=1): try: gromacs_start = time.time() - subprocess.run([f"{fda_install_path}/gmx_fda", "mdrun", "-rerun", trr_filename, "-s", tpr_filename, "-pfi", pfi_filename, "-nt", str(threads), "-pfa", pfa_filename, "-pfn", index_file]) + subprocess.check_call([f"{fda_install_path}/./gmx_fda", "mdrun", "-rerun", trr_filename, "-s", tpr_filename, "-pfi", pfi_filename, "-nt", str(threads), "-pfa", pfa_filename, "-pfn", index_file]) gromacs_end = time.time() - print("GMX RUN completed in {} seconds".format((gromacs_end-gromacs_start))) + logger.info("GMX RUN completed in {} seconds".format((gromacs_end-gromacs_start))) return except: - print(traceback.format_exc()) - sys.exit(0) + logger.error("Please ensure that your files are compatible with the GROMACS FDA version and are entered correctly!!") + #sys.exit(0) return def parse_gro(filename): @@ -637,33 +732,59 @@ def parse_gro(filename): gro_parse_start = time.time() with open(filename, 'r') as fp: - gro_file = fp.readlines() - num_atoms = int(gro_file[1]) + title = fp.readline() + num_atoms = int(fp.readline()) atom_info_list = [] - for i in gro_file[2:-1]: + gro_current_line = '' + while True: + previous_line = copy.deepcopy(gro_current_line) + gro_current_line = fp.readline() + if len(gro_current_line) == 0: + break atom_info = {"Residue_Number" : None, "Residue_Name" : None, "Atom_Name" : None, "Atom_Number" : None, "X_Coordinate" : None, "Y_Coordinate" : None, "Z_Coordinate" : None, "X_Velocity" : None, "Y_Velocity" : None, "Z_Velocity" : None} - atom_info["Residue_Number"] = int(i[:5]) - atom_info["Residue_Name"] = str(i[5:10]).strip() - atom_info["Atom_Name"] = str(i[10:15]).strip() - atom_info["Atom_Number"] = int(i[15:20]) - atom_info["X_Coordinate"] = float(i[20:28]) - atom_info["Y_Coordinate"] = float(i[28:36]) - atom_info["Z_Coordinate"] = float(i[36:44]) - atom_info["X_Velocity"] = float(i[44:52]) - atom_info["Y_Velocity"] = float(i[52:60]) - atom_info["Z_Velocity"] = float(i[60:68]) - atom_info_list.append(atom_info) - box_vectors = list(map(float,gro_file[-1].split())) - + try: + gro_current_line = gro_current_line.split() + if len(gro_current_line) == 9: + Residue_Name = re.search(r"[a-zA-Z]", gro_current_line[0]) + Residue_Name = Residue_Name.start() + atom_info["Residue_Number"] = int(gro_current_line[0][:Residue_Name]) + atom_info["Residue_Name"] = str(gro_current_line[0][Residue_Name:]) + atom_info["Atom_Name"] = str(gro_current_line[1]) + atom_info["Atom_Number"] = int(gro_current_line[2]) + current_len = len(gro_current_line[2]) + atom_info["X_Coordinate"] = float(gro_current_line[3]) + atom_info["Y_Coordinate"] = float(gro_current_line[4]) + atom_info["Z_Coordinate"] = float(gro_current_line[5]) + atom_info["X_Velocity"] = float(gro_current_line[6]) + atom_info["Y_Velocity"] = float(gro_current_line[7]) + atom_info["Z_Velocity"] = float(gro_current_line[8]) + atom_info_list.append(atom_info) + else: + Residue_Name = re.search(r"[a-zA-Z]", gro_current_line[0]) + Residue_Name = Residue_Name.start() + atom_info["Residue_Number"] = int(gro_current_line[0][:Residue_Name]) + atom_info["Residue_Name"] = str(gro_current_line[0][Residue_Name:]) + atom_info["Atom_Name"] = str(gro_current_line[1][:current_len]) + atom_info["Atom_Number"] = int(gro_current_line[1][current_len:]) + current_len = len(gro_current_line[:current_len]) + atom_info["X_Coordinate"] = float(gro_current_line[2]) + atom_info["Y_Coordinate"] = float(gro_current_line[3]) + atom_info["Z_Coordinate"] = float(gro_current_line[4]) + atom_info["X_Velocity"] = float(gro_current_line[5]) + atom_info["Y_Velocity"] = float(gro_current_line[6]) + atom_info["Z_Velocity"] = float(gro_current_line[7]) + atom_info_list.append(atom_info) + except: + break + box_vectors = list(map(float,previous_line[-1].split())) gro_parse_end = time.time() - - print("{} file parsed. with {} atoms in {} seconds".format(filename, num_atoms, (gro_parse_end-gro_parse_start))) + logger.info("{} file parsed. with {} atoms in {} seconds".format(filename, num_atoms, (gro_parse_end-gro_parse_start))) return num_atoms, atom_info_list, box_vectors except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewise=False): @@ -692,22 +813,18 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi Forces_on_Atoms = [] for i in range(0, num_atoms+1): Forces_on_Atoms.append(Point(0, 0, 0)) - num_frames = 0 with open(pfa_filename, "r") as fp: pfa_current_line = fp.readline() while True: pfa_current_line = fp.readline() - #if blank line then end of file and end the read operation if len(pfa_current_line) == 0: break - #if new frame is detected then increment frame number elif pfa_current_line[:5] == "frame" or pfa_current_line[:5] == "force": num_frames += 1 continue - #summation of forces from all frames are done if # force is applied by atom then forces are subtracted # otherwise added to previous force sum @@ -716,10 +833,8 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi force_applied_by = int(pfa_current_line[1]) force_recieved_by = int(pfa_current_line[0]) force_magnitude = Point(pfa_current_line[2], pfa_current_line[3], pfa_current_line[4]) - Forces_on_Atoms[force_recieved_by] += force_magnitude Forces_on_Atoms[force_applied_by] += force_magnitude.negate() - #all forces will be written in new pfa file with open(summed_pfa_filename, "w") as fp: fp.write("frame " + str(num_frames) + "\n") @@ -728,7 +843,7 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi #If framewise force summation is selected else: - + open(summed_pfa_filename, "w").close() #Intitialise forces on atom with 0 Forces_on_Atoms_Holder = [] for i in range(0, num_atoms+1): @@ -739,17 +854,15 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi pfa_current_line = fp.readline() while True: pfa_current_line = fp.readline() - #if blank line then end of file and end the read operation if len(pfa_current_line) == 0: break - #if new frame is detected then summation of forces from previous frame is written in file elif pfa_current_line[:5] == "frame" or pfa_current_line[:5] == "force": frame_number = int(pfa_current_line[6:]) - if frame_number > 0: + if frame_number >= 0: with open(summed_pfa_filename, "a") as fp_temp: - fp_temp.write("frame " + str(frame_number-1) + "\n") + fp_temp.write("frame " + str(frame_number) + "\n") for i in range(0, len(Forces_on_Atoms)): fp_temp.write(str(i+1) + "\t" + str(Forces_on_Atoms[i].x) + "\t" + str(Forces_on_Atoms[i].y) + "\t" + str(Forces_on_Atoms[i].z) + "\n") Forces_on_Atoms = [] @@ -770,11 +883,11 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi end_time=time.time() - print("Parsed PFA file {} created with {} atoms in {} seconds".format(summed_pfa_filename, num_atoms, (end_time-start_time))) + logger.info("Parsed PFA file {} created with {} atoms in {} seconds".format(summed_pfa_filename, num_atoms, (end_time-start_time))) except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): @@ -804,24 +917,18 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): ''' try: start_time=time.time() - current_frame = 0 AllResidueGroupsFramewise = {} - with open(summed_pfa_file, 'r') as fp: restart = True - while restart: for i in atom_info: - # read lines from summation generated pfa file summed_pfa_current_line = fp.readline().split() - #if blank line then end of file and end the read operation if len(summed_pfa_current_line) == 0: restart = False break - #if new frame is detected then summation of forces from previous frame is written in file elif summed_pfa_current_line[0] == "frame": current_frame = int(summed_pfa_current_line[1]) @@ -829,7 +936,6 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): for residueName in residue_list: AllResidueGroupsFramewise[current_frame][str(residueName)] = [] break - #summation of forces from one frames are done if # force is applied by atom then forces are subtracted # otherwise added to previous force sum @@ -854,13 +960,13 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): AllResidueGroupsFramewise[current_frame][i["Residue_Name"]].append(forceAtom) end_time = time.time() - print("PFA file parsed in {} seconds".format((end_time-start_time))) + logger.info("Summed PFA file parsed in {} seconds".format((end_time-start_time))) return AllResidueGroupsFramewise except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return def bfactor_pdb(atom_dict, pdb_filename, bfactor_pdb_filename, mode = "combined"): @@ -878,7 +984,6 @@ def bfactor_pdb(atom_dict, pdb_filename, bfactor_pdb_filename, mode = "combined" ''' try: start_time = time.time() - bfactor = {} atom_numbers = {} min_force = np.finfo(float).max @@ -887,66 +992,90 @@ def bfactor_pdb(atom_dict, pdb_filename, bfactor_pdb_filename, mode = "combined" num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] - if mode == "combined": for i in range(numKeys): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] if num_frames == num_frames_orignal else [atom_dict[num_frames_orignal][allKeys[i]]] + if num_frames == num_frames_orignal: + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] + else: + forced_atomGroup = [atom_dict[num_frames_orignal][allKeys[i]]] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] + forced_atomGroup = np.asarray(forced_atomGroup) if num_frames == num_frames_orignal: forces_averaged = [] - for atoms in zip(*forced_atomGroup): - average_at_coordinate = Point(0,0,0) - for atom in atoms: - average_at_coordinate += atom.Force - forces_averaged.append(average_at_coordinate.mod()/len(atoms)) + x=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + x[n1][n2] = forced_atomGroup[n1][n2].Force.x + y=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + y[n1][n2] = forced_atomGroup[n1][n2].Force.y + z=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + z[n1][n2] = forced_atomGroup[n1][n2].Force.z + forces_averaged = np.sqrt(np.square(np.sum(x, axis = 0)) + np.square(np.sum(y, axis = 0)) + np.square(np.sum(z, axis = 0))) else: forces_averaged = [sum(map(lambda x: x.Force.mod(), atoms))/(num_frames_orignal -1) for atoms in zip(*forced_atomGroup)] bfactor[allKeys[i]] = sum(forces_averaged)/len(forces_averaged) atom_numbers[allKeys[i]] = [atom.AtomNumber for atom in forced_atomGroup[0]] else: for i in range(numKeys): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] if num_frames == num_frames_orignal else [atom_dict[num_frames_orignal][allKeys[i]]] + if num_frames == num_frames_orignal: + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] + else: + forced_atomGroup = [atom_dict[num_frames_orignal][allKeys[i]]] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] + forced_atomGroup = np.asarray(forced_atomGroup) if num_frames == num_frames_orignal: forces_averaged = [] - for atoms in zip(*forced_atomGroup): - average_at_coordinate = Point(0,0,0) - for atom in atoms: - average_at_coordinate += atom.Force - forces_averaged.append(average_at_coordinate.mod()/len(atoms)) + x=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + x[n1][n2] = forced_atomGroup[n1][n2].Force.x + y=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + y[n1][n2] = forced_atomGroup[n1][n2].Force.y + z=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + z[n1][n2] = forced_atomGroup[n1][n2].Force.z + forces_averaged = np.sqrt(np.square(np.sum(x, axis = 0)) + np.square(np.sum(y, axis = 0)) + np.square(np.sum(z, axis = 0))) else: forces_averaged = [sum(map(lambda x: x.Force.mod(), atoms))/(num_frames_orignal -1) for atoms in zip(*forced_atomGroup)] bfactor[allKeys[i]] = {} atom_numbers[allKeys[i]] = [atom.AtomNumber for atom in forced_atomGroup[0]] for n, atom_num in enumerate(atom_numbers[allKeys[i]]): bfactor[allKeys[i]][atom_num] = forces_averaged[n] - min_force = np.min(forces_averaged) if np.min(forces_averaged) < min_force else min_force max_force = np.max(forces_averaged) if np.max(forces_averaged) > max_force else max_force with open(pdb_filename, 'r') as fp_read: with open(bfactor_pdb_filename, 'w') as fp_write: - split_lines = fp_read.readlines() - for i in split_lines: - if i[0:4] != "ATOM": - fp_write.write(str(i)) + while True: + line = fp_read.readline() + if line[:6] == "ENDMDL": + break + if line[0:4] != "ATOM": + fp_write.write(str(line)) else: found = 0 - atom_number = int(i[6:11]) + atom_number = int(line[6:11]) for atom in atom_numbers: if atom_number in atom_numbers[atom]: - fp_write.write(i[:-17] + str(round(((bfactor[atom]- min_force) / (max_force - min_force) * 9.99), 2))+ "\n") if mode == "combined" else fp_write.write(i[:-17] + str(round(((bfactor[atom][atom_number] - min_force) / (max_force - min_force) * 9.99), 2))+ "\n") + fp_write.write(line[:-17] + str(round(((bfactor[atom]- min_force) / (max_force - min_force) * 9.99), 2))+ "\n") if mode == "combined" else fp_write.write(line[:-17] + str(round(((bfactor[atom][atom_number] - min_force) / (max_force - min_force) * 9.99), 2))+ "\n") fp_read.readline() found = True break if not found: - fp_write.write(str(i)) + fp_write.write(str(line)) end_time = time.time() - print("PDB with BFactor values created in {} seconds".format((end_time-start_time))) + logger.info("PDB with BFactor values created in {} seconds".format((end_time-start_time))) except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc(), format(sys.exc_info()[-1].tb_lineno)) + #sys.exit(0) return def create_average_residue_graph(atom_dict, plot_name="average"): @@ -971,14 +1100,16 @@ def create_average_residue_graph(atom_dict, plot_name="average"): distances = [atom.Coords.z for atom in forced_atomGroup[0]] axs[i].plot(distances, forces_averaged) axs[i].title.set_text(str(allKeys[i])) - fig.savefig(f"{plot_name}_{allKeys}.png") + axs[i].set_xlabel("Z - Coordinate", fontsize=10) + fig.supylabel("Force (N)", fontsize=10) + fig.tight_layout() + fig.savefig(f"{plot_name}_{allKeys}.svg", dpi = 1000) plt.close() - print(f"Average Force plots created and saved") + logger.info(f"Average Force plots created and saved") except: - print(traceback.format_exc()) - sys.exit(0) - return + logger.error(traceback.format_exc()) + #sys.exit(0) def create_specific_frame_graph(atom_dict, specific_frame, plot_name="specific_frame"): try: @@ -992,23 +1123,23 @@ def create_specific_frame_graph(atom_dict, specific_frame, plot_name="specific_f distances = [atom.Coords.z for atom in forced_atomGroup] plt.plot(distances, forces) plt.title(str(allKeys[i])+"_"+str(frame)) - plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}.png") + plt.xlabel("Z - Coordinate", fontsize=10, labelpad=5) + plt.ylabel("Force (N)", fontsize=10, labelpad=5) + plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}.svg", dpi = 1000) plt.close() - - print(f"Force plots created and saved for frame - {specific_frame}") + logger.info(f"Force plots created and saved for frame - {specific_frame}") except: - print(traceback.format_exc()) - sys.exit(0) - return + logger.error(traceback.format_exc()) + #sys.exit(0) def create_moving_window_graph(atom_dict, moving_window, plot_name="moving_window"): try: - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] for i in range(numKeys): for frame in range(0, num_frames, moving_window): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(frame, frame + moving_window)] + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(frame, frame + moving_window) if window <= num_frames] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] forces_averaged = [] for atoms in zip(*forced_atomGroup): @@ -1018,14 +1149,14 @@ def create_moving_window_graph(atom_dict, moving_window, plot_name="moving_windo forces_averaged.append(average_at_coordinate.mod()/len(atoms)) distances = [atom.Coords.z for atom in forced_atomGroup[0]] plt.plot(distances, forces_averaged) + plt.xlabel("Z - Coordinate", fontsize=10, labelpad=5) + plt.ylabel("Force (N)", fontsize=10, labelpad=5) plt.title(f'{allKeys[i]}_{frame}_to_{frame+moving_window}') - plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}_to_{frame+moving_window}.png") + plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}_to_{frame+moving_window}.svg", dpi = 1000) plt.close() - print(f"Force plots created and saved for moving window of size - {moving_window}") except: - print(traceback.format_exc()) - sys.exit(0) - return + logger.error(traceback.format_exc()) + #sys.exit(0) def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined"): num_frames = len(atom_dict) @@ -1080,7 +1211,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b for n,i in enumerate(forced_atomGroup): temp_binned_data[atom_x_bin[n] - 1][atom_y_bin[n] - 1] = i.Force.mod()/(num_frames_orignal -1) binned_data_split[key].append(temp_binned_data) - selected_atoms = ["P"] curavature_plots = ["Z_Surface", "Mean_Curvature", "Gaussian_Curvature"] if not split: @@ -1088,7 +1218,7 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.average_z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.average_mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.average_gaussian @@ -1107,7 +1237,7 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1122,7 +1252,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b axis_removed_split[split_key][selected_atoms[i]]["Z_Surface"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"]).argmin(), np.array(curvature_selected.results.average_z_surface).shape)) axis_removed_split[split_key][selected_atoms[i]]["Mean_Curvature"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"]).argmin(), np.array(curvature_selected.results.average_mean).shape)) axis_removed_split[split_key][selected_atoms[i]]["Gaussian_Curvature"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"]).argmin(), np.array(curvature_selected.results.average_gaussian).shape)) - rows = [] if not split: for i in range(len(selected_atoms)): @@ -1132,11 +1261,14 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j].min(), selected_residues[selected_atoms[i]][j].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j]), np.nanmax(selected_residues[selected_atoms[i]][j])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][:,axis_removed[selected_atoms[i]][j][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1146,7 +1278,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b ax[1][n].set_title(f" Y Bin {axis_removed[selected_atoms[i]][j][1]} Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data[lipid], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data[lipid], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1155,14 +1286,15 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {gangle[list(gangle.keys())[0]]} \n{list(gangle.keys())[1]} : {gangle[list(gangle.keys())[1]]}", ha="center", fontdict={'fontsize':6}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}.png', dpi = 1000) - #plt.show() + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}.svg', dpi = 1000) plt.close() else: for position in binned_data_split: @@ -1173,12 +1305,15 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j].min(), selected_residues_split[position][selected_atoms[i]][j].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - #cbar.set_label(f"Average {j} (nm$^{-1}$)", fontsize=5, labelpad=2) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) + for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][:,axis_removed_split[position][selected_atoms[i]][j][0][1]], linewidth= 1, color='mediumseagreen', label="Max") ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][:,axis_removed_split[position][selected_atoms[i]][j][1][1]], linewidth= 1, color='purple', label="Min") @@ -1187,7 +1322,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b ax[1][n].set_title(f" Y Bin {axis_removed_split[position][selected_atoms[i]][j][1]} Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data_split[position][lipid], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data_split[position][lipid], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1196,19 +1330,19 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {gangle[position][list(gangle[position].keys())[0]]} \n{list(gangle[position].keys())[1]} : {gangle[position][list(gangle[position].keys())[1]]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}.svg', dpi = 1000) plt.close() - - return def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection = "", num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined_framewise"): - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] @@ -1271,7 +1405,7 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.gaussian @@ -1289,7 +1423,7 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1314,11 +1448,14 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j][frame], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j][frame], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j][frame].min(), selected_residues[selected_atoms[i]][j][frame].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j][frame]), np.nanmax(selected_residues[selected_atoms[i]][j][frame])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][frame][:,axis_removed[selected_atoms[i]][j][frame][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1336,13 +1473,24 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle[specific_frame]}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {gangle[list(gangle.keys())[0]][frame]} \n{list(gangle.keys())[1]} : {gangle[list(gangle.keys())[1]][frame]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} - Frame {frame}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}.svg', dpi = 1000) plt.close() + if gangle!=None: + plt.plot(range(len(gangle[list(gangle.keys())[0]])), gangle[list(gangle.keys())[0]], linewidth=1, color='crimson', label=list(gangle.keys())[0]) + plt.plot(range(len(gangle[list(gangle.keys())[1]])), gangle[list(gangle.keys())[1]], linewidth=1, color='deepskyblue', label=list(gangle.keys())[1]) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_framewise.svg', dpi = 1000) + plt.close() else: for i in range(len(selected_atoms)): for position in binned_data_split[allKeys[i]]: @@ -1353,12 +1501,14 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j][frame], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j][frame], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j][frame].min(), selected_residues_split[position][selected_atoms[i]][j][frame].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j][frame]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j][frame])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) - + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][frame][:,axis_removed_split[position][selected_atoms[i]][j][frame][0][1]], linewidth= 1, color='mediumseagreen', label="Max") ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][frame][:,axis_removed_split[position][selected_atoms[i]][j][frame][1][1]], linewidth= 1, color='purple', label="Min") @@ -1367,7 +1517,6 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection ax[1][n].set_title(f"Y Bin ({axis_removed_split[position][selected_atoms[i]][j][frame][0][1]},{axis_removed_split[position][selected_atoms[i]][j][frame][1][1]}) Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data_split[allKeys[lipid]][position][0], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data_split[allKeys[lipid]][position][0], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1376,18 +1525,25 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() - if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle[specific_frame]}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {gangle[position][list(gangle[position].keys())[0]][specific_frame]} \n{list(gangle[position].keys())[1]} : {gangle[position][list(gangle[position].keys())[1]][specific_frame]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane - Frame {frame}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_{frame}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}_{position}.svg', dpi = 1000) plt.close() - return + plt.plot(range(len(gangle[position][list(gangle[position].keys())[0]])), gangle[position][list(gangle[position].keys())[0]], linewidth=1, color='crimson', label=list(gangle[position].keys())[0]) + plt.plot(range(len(gangle[position][list(gangle[position].keys())[1]])), gangle[position][list(gangle[position].keys())[1]], linewidth=1, color='deepskyblue', label=list(gangle[position].keys())[1]) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_framewise_{position}.svg', dpi = 1000) + plt.close() def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined_window"): - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] @@ -1401,7 +1557,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 binned_data_split[allKeys[i]] = {"Upper": [], "Lower": []} frame_list = [] for window in range(0, num_frames, window_size): - forced_atomGroup = [atom_dict[windowc][allKeys[i]] for windowc in range(window, window+window_size)] + forced_atomGroup = [atom_dict[windowc][allKeys[i]] for windowc in range(window, window+window_size) if windowc <= num_frames] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] if split: mean_z = mean([x.Coords.z for x in forced_atomGroup[0]]) @@ -1412,10 +1568,10 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 temp_range = (int(min(lower_membrane[0], key = lambda x: x.Coords.z).ResNum), int(max(lower_membrane[0], key = lambda x: x.Coords.z).ResNum)) lower_range.append((min(temp_range), max(temp_range))) if not split: - x_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size)], key = lambda atom: atom.Coords.x).Coords.x)) - x_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size)], key = lambda atom: atom.Coords.x).Coords.x)) - y_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size)], key = lambda atom: atom.Coords.y).Coords.y)) - y_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size)], key = lambda atom: atom.Coords.y).Coords.y)) + x_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.x).Coords.x)) + x_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.x).Coords.x)) + y_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.y).Coords.y)) + y_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.y).Coords.y)) x_coordinates = [float(atom.Coords.x) for atom in forced_atomGroup[0]] y_coordinates = [float(atom.Coords.y) for atom in forced_atomGroup[0]] x_bins = np.arange(x_min, x_max, (x_max - x_min)/num_x_bins) @@ -1459,16 +1615,16 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.gaussian for i in range(len(selected_atoms)): axis_removed[selected_atoms[i]] = {"Z_Surface" : list(range(num_frames)), "Mean_Curvature": list(range(num_frames)), "Gaussian_Curvature": list(range(num_frames))} for window in range(0, num_frames, window_size): - z_sur = np.mean(np.array(selected_residues[selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) - meanc = np.mean(np.array(selected_residues[selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) - gausc = np.mean(np.array(selected_residues[selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) + z_sur = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) + meanc = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) + gausc = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) axis_removed[selected_atoms[i]]["Z_Surface"][window] = [np.unravel_index(np.nanargmax(z_sur), z_sur.shape)] axis_removed[selected_atoms[i]]["Mean_Curvature"][window] = [np.unravel_index(np.nanargmax(meanc), meanc.shape)] axis_removed[selected_atoms[i]]["Gaussian_Curvature"][window] = [np.unravel_index(np.nanargmax(gausc), gausc.shape)] @@ -1481,7 +1637,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1491,9 +1647,9 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 for i in range(len(selected_atoms)): axis_removed_split[split_key][selected_atoms[i]] = {"Z_Surface" : list(range(num_frames)), "Mean_Curvature": list(range(num_frames)), "Gaussian_Curvature": list(range(num_frames))} for window in range(0, num_frames, window_size): - z_sur = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) - meanc = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) - gausc = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) + z_sur = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) + meanc = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) + gausc = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) axis_removed_split[split_key][selected_atoms[i]]["Z_Surface"][window] = [np.unravel_index(np.nanargmax(z_sur), z_sur.shape)] axis_removed_split[split_key][selected_atoms[i]]["Mean_Curvature"][window] = [np.unravel_index(np.nanargmax(meanc), meanc.shape)] axis_removed_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window] = [np.unravel_index(np.nanargmax(gausc), gausc.shape)] @@ -1503,6 +1659,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 rows = [] if not split: for i in range(len(selected_atoms)): + window_angles = [] for windown, window in enumerate(range(0, num_frames, window_size)): fig, ax = plt.subplots(ncols=3, nrows=3, constrained_layout=True) for n, j in enumerate(curavature_plots): @@ -1510,11 +1667,14 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j][window], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j][window], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j][window].min(), selected_residues[selected_atoms[i]][j][window].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j][window]), np.nanmax(selected_residues[selected_atoms[i]][j][window])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][window][:,axis_removed[selected_atoms[i]][j][window][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1531,18 +1691,33 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 ax[2][lipid].set_aspect('equal') cbar = plt.colorbar(im, ticks=[binned_data[allKeys[lipid]][windown].min(), binned_data[allKeys[lipid]][windown].max()], orientation='horizontal', ax = ax[2][lipid], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {mean(gangle[window:window+window_size])}", ha="center", fontdict={'fontsize':7}) + window_angles.append((mean(gangle[list(gangle.keys())[0]][window:window+window_size]), mean(gangle[list(gangle.keys())[1]][window:window+window_size]))) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {window_angles[-1][0]} \n{list(gangle.keys())[1]} : {window_angles[-1][1]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} - Window {window}-{window+window_size}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_window_{window}_{window+window_size}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_window_{window}_{window+window_size}.svg', dpi = 1000) + plt.close() + if len(window_angles) > 0: + angles_lipid1 = [x[0] for x in window_angles] + angles_lipid2 = [x[1] for x in window_angles] + plt.plot(range(len(angles_lipid1)), angles_lipid1, linewidth=1, color='crimson') + plt.plot(range(len(angles_lipid2)), angles_lipid2, linewidth=1, color='deepskyblue') + plt.xticks(range(len(window_angles))) + plt.xlabel("Window") + plt.ylabel("Average Angle") + plt.savefig(f'{plot_name}_angles_windowed_{window_size}.svg', dpi = 1000) plt.close() else: for i in range(len(selected_atoms)): for position in binned_data_split[allKeys[i]]: + window_angles = [] for windown, window in enumerate(range(0, num_frames, window_size)): fig, ax = plt.subplots(ncols=3, nrows=3, constrained_layout=True) for n, j in enumerate(curavature_plots): @@ -1550,11 +1725,14 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j][window], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j][window], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j][window].min(), selected_residues_split[position][selected_atoms[i]][j][window].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j][window]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j][window])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][window][:,axis_removed_split[position][selected_atoms[i]][j][window][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1573,15 +1751,28 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {mean(gangle[window:window+window_size])}", ha="center", fontdict={'fontsize':7}) + window_angles.append((mean(gangle[position][list(gangle[position].keys())[0]][window:window+window_size]), mean(gangle[position][list(gangle[position].keys())[1]][window:window+window_size]))) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {window_angles[-1][0]} \n{list(gangle[position].keys())[1]} : {window_angles[-1][1]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane - Window {window}-{window+window_size}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_window_{window}_{window+window_size}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_window_{window}_{window+window_size}.svg', dpi = 1000) + plt.close() + if len(window_angles) > 0: + angles_lipid1 = [x[0] for x in window_angles] + angles_lipid2 = [x[1] for x in window_angles] + plt.plot(range(len(angles_lipid1)), angles_lipid1, linewidth=1, color='crimson') + plt.plot(range(len(angles_lipid2)), angles_lipid2, linewidth=1, color='deepskyblue') + plt.xticks(range(len(window_angles))) + plt.xlabel("Window") + plt.ylabel("Average Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_windowed_{window_size}_{position}.svg', dpi = 1000) plt.close() - return def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start_index=None, end_index=None, plot_name="MSD"): try: @@ -1598,7 +1789,6 @@ def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start fig = plt.figure() ax = plt.axes() ax.plot(lagtimes, msd_result, color='blue', linestyle="-", label=r'MSD') - # calculate diffusion coefficient start_index = 0 if start_index==None else start_index end_index = -1 if end_index==None else end_index @@ -1608,44 +1798,230 @@ def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start slope = linear_model.slope error = linear_model.rvalue D = slope * 1/(2*MSD.dim_fac) - - plt.title(f'MSD vs Frame (Diffusion coefficient : {D})') - plt.savefig(f"{plot_name}.png") + plt.xlabel("Frame", fontsize=10, labelpad=5) + plt.ylabel("MSD", fontsize=10, labelpad=5) + plt.title(f'Frame vs MSD (Diffusion coefficient : {D})') + plt.savefig(f"{plot_name}.svg", dpi = 1000) plt.close() - - print(f"Diffution coefficient and MSD plotted") + logger.info(f"Diffution coefficient and MSD plotted") except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc()) + #sys.exit(0) return -def gangle(trr_filename, tpr_filename, ndx_filename, group1, group2, g1="vector", g2="vector", seltype="res_com", selrpos="res_com", filename="angle.xvg", mode="average"): - try: - if g1=="vector" and g2=="vector": - subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group1, "-group2", group2, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) - if mode=="average": - angle = 0 - frame = 0 - with open(filename, "r") as f: - for line in f: - if (not line[0]=="#") and (not line[0]=="@"): - angle+=float(line.split()[1]) - frame+=1 - subprocess.run(["rm", filename]) - return (angle/frame) - elif mode=="framewise" or mode=="window": +def gangle(trr_filename, tpr_filename, ndx_filename, pdb_filename, mda_universe, group1=None, group2=None, selection=None, grouping=None, c_atom_name="C4B", angles = False, g1="vector", g2="z", seltype="res_com", selrpos="res_com", mode="average", split = False): + random_string = ''.join(secrets.choice(string.ascii_uppercase + string.digits) for _ in range(10)) + if angles == False: + if group1 == None or group2 == None: + raise ValueError('Enter valid lipid groups') + if split == False: + avg_angles = {} + membrane = {} + for i in mda_universe.atoms: + if i.resname == group1 or i.resname == group2: + if i.type == "P" or i.name == c_atom_name: + if i.resname not in membrane: + membrane[i.resname] = [i.id] + else: + membrane[i.resname].append(i.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + f.write(f"[ {i} ]\n") + group_str = " ".join([str(i) for i in membrane[i]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + for group in [group1, group2]: + filename=f"angle_{group}_{random_string}.xvg" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + if mode=="average": + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = mean(angle) + elif mode=="framewise" or mode=="window": + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = angle + subprocess.run(["rm", ndx_filename]) + return avg_angles + else: + membrane = {'Lower':{}, 'Upper':{}} + lower_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z < {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + upper_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z > {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + for atom in mda_universe.atoms: + if atom.resname == group1 or atom.resname == group2: + if atom.resid in lower_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Lower"]: + membrane["Lower"][atom.resname] = [atom.id] + else: + membrane["Lower"][atom.resname].append(atom.id) + elif atom.resid in upper_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Upper"]: + membrane["Upper"][atom.resname] = [atom.id] + else: + membrane["Upper"][atom.resname].append(atom.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + for resgroup in membrane[i]: + f.write(f"[ {i}_{resgroup} ]\n") + group_str = " ".join([str(i) for i in membrane[i][resgroup]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + for group in [group1, group2]: + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + for group in [group1, group2]: + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + angle = {'Upper':{}, 'Lower':{}} + for group in [group1, group2]: + if mode=="average": + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + angle[list(angle.keys())[n]][group]=mean(angle[list(angle.keys())[n]][group]) + elif mode=="framewise" or mode=="window": + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + subprocess.run(["rm", ndx_filename]) + return angle + else: + if split == False: + avg_angles = {} + membrane = {} + for i in mda_universe.atoms: + if i.resname in selection: + if i.type == "P" or i.name == c_atom_name: + if i.resname not in membrane: + membrane[i.resname] = [i.id] + else: + membrane[i.resname].append(i.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + if grouping == "combine": + f.write(f"[ Combined ]\n") + for i in membrane: + if grouping != "combine": + f.write(f"[ {i} ]\n") + group_str = " ".join([str(i) for i in membrane[i]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + if grouping != "combine": + for group in selection: + filename=f"angle_{group}_{random_string}.xvg" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = angle + else: + filename=f"angle_combined_{random_string}.xvg" + group = "Combined" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) angle = [] with open(filename, "r") as f: for line in f: if (not line[0]=="#") and (not line[0]=="@"): angle.append(float(line.split()[1])) subprocess.run(["rm", filename]) - return angle - except: - print(traceback.format_exc()) - sys.exit(0) - -def clustering_plots(pdb_file, top_bottom, Box_side_length, protein_residue_names, attached_ligands, Lipids_to_cluster, plot_name="Cluster"): + avg_angles[group] = angle + subprocess.run(["rm", ndx_filename]) + return avg_angles + else: + membrane = {'Lower':{}, 'Upper':{}} + lower_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z < {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + upper_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z > {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + for atom in mda_universe.atoms: + if atom.resname in selection: + if atom.resid in lower_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Lower"]: + membrane["Lower"][atom.resname] = [atom.id] + else: + membrane["Lower"][atom.resname].append(atom.id) + elif atom.resid in upper_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Upper"]: + membrane["Upper"][atom.resname] = [atom.id] + else: + membrane["Upper"][atom.resname].append(atom.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + if grouping == "combine": + f.write(f"[ {i}_Combined ]\n") + for resgroup in membrane[i]: + if grouping != "combine": + f.write(f"[ {i}_{resgroup} ]\n") + group_str = " ".join([str(i) for i in membrane[i][resgroup]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + if grouping != "combine": + for group in selection: + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + for group in selection: + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + else: + group = "Combined" + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + + angle = {'Upper':{}, 'Lower':{}} + if grouping != "combine": + for group in selection: + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + else: + group = "Combined" + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + subprocess.run(["rm", ndx_filename]) + return angle + +def clustering_plots(pdb_file, top_bottom, protein_residue_names, lipids_to_cluster, attached_ligands, mode="pair", plot_name="Cluster", box_side_length = 6): class PDB_Atom(): def __init__(self, pdbline): self.Atom_serial_number = str(pdbline[7:12]) @@ -1669,37 +2045,32 @@ def __init__(self,x,y,z): self.z = z try: # open the PDB_file and read all the data - f = open(pdb_file, 'r') - - pdb_data = f.readlines() - - f.close() - - # Parse the PDB data to get all the atomic information in the file - - All_Atoms_list = [] - for line in pdb_data: - line = " "+line - if(line[1:5]=="ATOM" or line[1:5]=="HETA"): - a = PDB_Atom(line) - All_Atoms_list.append(a) - + with open(pdb_file, 'r') as f: + all_atoms_list = [] + while True: + line = f.readline() + if line[:6] == "ENDMDL": + break + # Parse the PDB data to get all the atomic information in the file + line = " "+line + if(line[1:5]=="ATOM" or line[1:5]=="HETA"): + a = PDB_Atom(line) + all_atoms_list.append(a) + f.close() # Now divide the atoms into lipid and protein atoms - Protein_atoms_list = [] - Lipid_atoms_list = [] - #print(All_Atoms_list) - for atom in All_Atoms_list: + protein_atoms_list = [] + lipid_atoms_list = [] + ALL_LIPIDS = [] + for atom in all_atoms_list: + ALL_LIPIDS.append(atom) if(atom.Res_name in protein_residue_names): - Protein_atoms_list.append(atom) + protein_atoms_list.append(atom) elif(atom.Res_name not in attached_ligands): - Lipid_atoms_list.append(atom) - + lipid_atoms_list.append(atom) min_z = 10000 max_z = -10000 - mean_z = 0 - - for atom in Lipid_atoms_list: + for atom in lipid_atoms_list: mean_z += atom.zcoord if(atom.zcoord > max_z): max_z = atom.zcoord @@ -1709,63 +2080,47 @@ def __init__(self,x,y,z): protein_coordinates_list = [] lipid_coordinates_list = [] - prev_prot_resnum = Protein_atoms_list[0].Res_number + prev_prot_resnum = protein_atoms_list[0].Res_number x, y, z = 0, 0, 0 count = 0 - for atom in Protein_atoms_list: + for atom in protein_atoms_list: if(atom.Res_number == prev_prot_resnum): x += atom.xcoord y += atom.ycoord z += atom.zcoord count += 1 - else: protein_coordinates_list.append( Coordinate(x/count, y/count, z/count) ) x, y, z = atom.xcoord, atom.ycoord, atom.zcoord prev_prot_resnum = atom.Res_number count = 1 - protein_coordinates_list.append(Coordinate(x/count, y/count, z/count)) - x, y, z = 0, 0, 0 count = 0 - - prev_lipid_resnum = Lipid_atoms_list[0].Res_number - temp_list = [] - for atom in Lipid_atoms_list: - if(atom.Res_name in Lipids_to_cluster): + for atom in lipid_atoms_list: + if(atom.Res_name in lipids_to_cluster): temp_list.append(atom) - ALL_LIPIDS = Lipid_atoms_list - - Lipid_atoms_list = temp_list - - prev_lipid_resnum = Lipid_atoms_list[0].Res_number + lipid_atoms_list = temp_list - for atom in Lipid_atoms_list: + prev_lipid_resnum = lipid_atoms_list[0].Res_number + for atom in lipid_atoms_list: if (atom.Res_number == prev_lipid_resnum): x += atom.xcoord y += atom.ycoord z += atom.zcoord count += 1 - else: lipid_coordinates_list.append( Coordinate(x/count, y/count, z/count) ) x, y, z = atom.xcoord, atom.ycoord, atom.zcoord prev_lipid_resnum = atom.Res_number count = 1 - lipid_coordinates_list.append(Coordinate(x/count, y/count, z/count)) - - - min_memb_x = min(Lipid_atoms_list, key=lambda x: x.xcoord).xcoord - min_memb_y = min(Lipid_atoms_list, key= lambda x: x.ycoord).ycoord - - + min_memb_x = min(lipid_atoms_list, key=lambda x: x.xcoord).xcoord + min_memb_y = min(lipid_atoms_list, key= lambda x: x.ycoord).ycoord mean_z = 0 - for coord in lipid_coordinates_list: mean_z += coord.z @@ -1777,7 +2132,6 @@ def __init__(self,x,y,z): z_min_lip = min(lipid_coordinates_list, key=lambda x: x.z).z z_max_lip = max(lipid_coordinates_list, key=lambda x: x.z).z - new_lip_coords = [] new_prot_coords = [] @@ -1791,7 +2145,6 @@ def __init__(self,x,y,z): else: new_lip_coords.append(coord) - lipid_coordinates_list = new_lip_coords for coord in protein_coordinates_list: @@ -1804,20 +2157,12 @@ def __init__(self,x,y,z): else: if(coord.z >= z_min_lip and coord.z <= z_max_lip): new_prot_coords.append(coord) - protein_coordinates_list = new_prot_coords - - all_coords_list = [] - for coord in lipid_coordinates_list: all_coords_list.append(coord) - for coord in protein_coordinates_list: all_coords_list.append(coord) - - - min_x = min(ALL_LIPIDS, key= lambda x: x.xcoord).xcoord min_y = min(ALL_LIPIDS, key= lambda x: x.ycoord).ycoord min_z = min(all_coords_list, key= lambda x: x.z).z @@ -1826,34 +2171,20 @@ def __init__(self,x,y,z): max_y = max(ALL_LIPIDS, key= lambda x: x.ycoord).ycoord max_z = max(all_coords_list, key= lambda x: x.z).z - num_partX = math.floor((max_x - min_x)/Box_side_length) - num_partY = math.floor((max_y - min_y)/Box_side_length) - - lipid_cluster_grid = [] - protein_cluster_grid = [] - - for i in range(num_partX-1): - temp = [] - for j in range(num_partY): - temp.append(0) - lipid_cluster_grid.append(np.array(temp)) - protein_cluster_grid.append(np.array(temp)) - lipid_cluster_grid = np.array(lipid_cluster_grid) - + num_partX = math.ceil((max_x - min_x)/box_side_length) + num_partY = math.ceil((max_y - min_y)/box_side_length) + protein_cluster_grid = np.zeros((num_partX, num_partY)) + lipid_cluster_grid = np.zeros((num_partX, num_partY)) for coord in lipid_coordinates_list: - x_ind = math.floor(coord.x / Box_side_length) - y_ind = math.floor(coord.y / Box_side_length) - try: - lipid_cluster_grid[x_ind][y_ind] += 1 - except: - continue + x_ind = math.floor(coord.x / box_side_length) + y_ind = math.floor(coord.y / box_side_length) + lipid_cluster_grid[x_ind][y_ind] += 1 for coord in protein_coordinates_list: - x_ind = math.floor(coord.x / Box_side_length) - y_ind = math.floor(coord.y / Box_side_length) + x_ind = math.floor(coord.x / box_side_length) + y_ind = math.floor(coord.y / box_side_length) protein_cluster_grid[x_ind][y_ind] += 10 - protein_grid_x = [] protein_grid_y = [] @@ -1871,7 +2202,6 @@ def __init__(self,x,y,z): lipid_cluster_grid = np.array(lipid_cluster_grid) protein_cluster_grid = np.array(protein_cluster_grid) - cols = { 1: 'white', 2: 'green', @@ -1893,17 +2223,21 @@ def __init__(self,x,y,z): p = plt.imshow(lipid_cluster_grid, cmap='YlOrRd' ) plt.clim(0, 3) cbar = plt.colorbar(p, ticks=[0,1,2,3,4]) - ax.scatter(protein_grid_y, protein_grid_x, marker="s", s=5) - - ax.xaxis.tick_top() - - plt.savefig(plot_name+"_"+Lipids_to_cluster+"_"+attached_ligands+".png", format="png") + #fig.supxlabel(f"X Bins (nm$^{-1}$)", verticalalignment = 'top') + plt.xlabel(f"X Bin (nm$^{-1}$)") + fig.supylabel(f"Y Bin (nm$^{-1}$)",) + ax.tick_params(labelbottom=False,labeltop=True) + #fig.tight_layout() + if mode == "pair": + plt.savefig(plot_name+"_"+lipids_to_cluster+"_"+attached_ligands[0]+".svg", format="svg", dpi = 1000) + else: + plt.savefig(plot_name+"_"+lipids_to_cluster+".svg", format="svg", dpi = 1000) plt.close() except: - print(traceback.format_exc()) - sys.exit(0) + logger.error(traceback.format_exc(), " at line", format(sys.exc_info()[-1].tb_lineno)) + #sys.exit(0) def create_graph_1(atom_dict, specific_frame = False, moving_window = False, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_FRACTION = 0.01): ''' @@ -1911,7 +2245,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra Returns : None Outputs : - Save a .png file of the graph created with the specified name + Save a .svg file of the graph created with the specified name ''' if specific_frame: frame = specific_frame @@ -1924,7 +2258,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup] plt.plot(distances, forces) plt.title(str(allKeys[i])+"_"+str(frame)) - plt.savefig(f"plots/{allKeys[i]}_{frame}.png") + plt.savefig(f"plots/{allKeys[i]}_{frame}.svg", dpi = 1000) plt.close() elif moving_window: num_frames = len(atom_dict) @@ -1943,7 +2277,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup[0]] plt.plot(distances, forces_averaged) plt.title(f'{allKeys[i]}_{frame}_to_{frame+moving_window}') - plt.savefig(f"plots/{allKeys[i]}_{frame}_to_{frame+moving_window}.png") + plt.savefig(f"plots/{allKeys[i]}_{frame}_to_{frame+moving_window}.svg", dpi = 1000) plt.close() else: num_frames = len(atom_dict) @@ -1966,7 +2300,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup[0]] axs[i].plot(distances, forces_averaged) axs[i].title.set_text(str(allKeys[i])) - fig.savefig(f"plots/Average_{allKeys}.png") + fig.savefig(f"plots/Average_{allKeys}.svg", dpi = 1000) fig.show() plt.close() @@ -1977,7 +2311,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ Returns : None Outputs : - Save a .png file of the graph created with the specified name + Save a .svg file of the graph created with the specified name ''' all_atoms_membrane_non_zero_force = [] for key in atom_dict: @@ -2016,7 +2350,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ ax = fig.add_subplot(111, projection='3d') ax.plot_surface(x, y, z) plt.title('z as 3d height map') - plt.savefig("test_2.png") + plt.savefig("test_2.svg") plt.show() # show hight map in 2d @@ -2024,5 +2358,5 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ plt.title('z as 2d heat map') p = plt.imshow(z) plt.colorbar(p) - plt.savefig("test_3.png") + plt.savefig("test_3.svg") plt.show() \ No newline at end of file diff --git a/pyLFDA_cli.py b/pyLFDA_cli.py index 0f078ce..c0f90ba 100644 --- a/pyLFDA_cli.py +++ b/pyLFDA_cli.py @@ -14,7 +14,17 @@ import subprocess from scipy.stats import linregress import traceback +import textwrap import errno +import copy +import re +import warnings +import logging +import faulthandler +import pickle +import string +import secrets +warnings.filterwarnings('ignore') class Point(): ''' @@ -115,6 +125,14 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t - ndx_filename : Path of the NDX file to be used. - gfda_version : Version of Gromacs FDA to be used. Creates a directory with the name to store it and uses it for further experiments. ''' + logging.getLogger('MDAnalysis.MDAKit.membrane_curvature').setLevel(logging.CRITICAL + 1) + logging.getLogger('MDAnalysis').setLevel(logging.INFO) + global logger + logging.basicConfig(format='%(name)s : %(levelname)s :\t%(message)s') + logger = logging.getLogger('pyLFDA') + logger.addHandler(logging.NullHandler()) + logging.getLogger('pyLFDA').setLevel(logging.INFO) + #faulthandler.enable() #for debugging purposes try: sys.tracebacklimit = -1 #Set Experiment Name @@ -173,12 +191,12 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t #1: Install Gromacs FDA if it not inilialized if not os.path.isdir(gfda_version): - print(f"Checking GROMACS FDA installation - {gfda_version}") + logger.info(f"Checking GROMACS FDA installation - {gfda_version}") version_control(gfda_version) - self.fda_bin_path = os.path.abspath(os.path.expanduser(os.path.expandvars(gfda_version+"/installation/bin"))) + self.fda_bin_path = os.path.abspath(os.path.expanduser(os.path.expandvars(gfda_version+"/bin"))) #Initialise MDA Universe - self.mda_universe() + self.create_mda_universe() self.group1 = None self.group2 = None self.force = None @@ -196,11 +214,11 @@ def __init__(self, experiment_name=None, pdb_filename=None, gro_filename=None, t self.summed_pfa_filename = None self.atom_dict = None - print("Parsing GRO file to calculate numbers of atoms, atoms information and box vectors") + logger.info("Parsing GRO file to calculate numbers of atoms, atoms information and box vectors") self.num_atoms, self.atom_info_list, self.box_vectors = parse_gro(self.gro_filename) except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_filename=None, pfa_filename=None): @@ -230,7 +248,7 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ self.pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+pfa_filename))) #2: Create pfi file - print("Creating PFI file") + logger.info("Creating PFI file") create_pfi(path=self.pfi_filename, group_1=self.group1, group_2=self.group2, @@ -241,7 +259,7 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ ignore_missing_potentials="yes") #3: Running gmx fda - print("Running Gromacs FDA") + logger.info("Running Gromacs FDA") run_gmx_fda(fda_install_path=self.fda_bin_path, trr_filename=self.trr_filename, tpr_filename=self.tpr_filename, @@ -250,11 +268,11 @@ def run_fda(self, group1=None, group2=None, force="all", residue_list=None, pfi_ index_file=self.ndx_filename, threads=self.parallel_theads) - print("{} PFA file is generated in {}".format(self.pfa_filename, self.experiment_name)) + logger.info("{} PFA file is generated in {}".format(self.pfa_filename, self.experiment_name)) return except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return @@ -268,27 +286,26 @@ def load_pfa(self, pfa_filename=None, group1=None, group2=None, residue_list=Non - residue_list : [group1, group2] ''' try: - print("Loading PFA file generated by Gromacs FDA") + logger.info("Loading PFA file generated by Gromacs FDA") self.pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(pfa_filename))) self.group1 = group1 self.group2 = group2 self.residue_list = residue_list except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) - def mda_universe(self,): + def create_mda_universe(self,): ''' Function to extract relevant information using MDAnalysis. ''' try: - print("Making MDA Universe from PDB and TRR file") + logger.info("Making MDA Universe from PDB and TRR file") self.mda_universe = mda.Universe(self.pdb_filename, self.trr_filename) self.mda_timestamp = [int(i.time) for i in self.mda_universe.trajectory] self.mda_residue_name = list(set(self.mda_universe.residues.resnames)) - except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) def parse_pfa(self, file_name=None): @@ -304,22 +321,23 @@ def parse_pfa(self, file_name=None): else: self.summed_pfa_filename_framewise = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+file_name))) - print("Parsing PFA file as framewise") + logger.info("Parsing PFA file as framewise") create_summed_pfa(pfa_filename=self.pfa_filename, num_atoms=self.num_atoms, summed_pfa_filename=self.summed_pfa_filename_framewise, framewise=True) - + self.atom_dict_framewise = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename_framewise, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="framewise") else: if file_name==None: self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/pfa_averaged_"+self.timestamp+".pfa"))) else: self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+file_name))) - print("Parsing PFA file as average") + logger.info("Parsing PFA file as average") create_summed_pfa(pfa_filename=self.pfa_filename, num_atoms=self.num_atoms, summed_pfa_filename=self.summed_pfa_filename, @@ -328,8 +346,9 @@ def parse_pfa(self, file_name=None): self.atom_dict = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="average") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) def parse_parsed_pfa(self, file_name=None, mode=None, group1=None, group2=None, residue_list=None,): @@ -344,25 +363,47 @@ def parse_parsed_pfa(self, file_name=None, mode=None, group1=None, group2=None, self.group2 = group2 self.residue_list = residue_list if mode == "average": - print("Loading Average parsed PFA file") + logger.info("Loading Average parsed PFA file") self.framewise = False self.summed_pfa_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(file_name))) self.atom_dict = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="average") elif mode == "framewise": - print("Loading Framewise parsed PFA file") + logger.info("Loading Framewise parsed PFA file") self.framewise = True self.summed_pfa_filename_framewise = os.path.abspath(os.path.expanduser(os.path.expandvars(file_name))) self.atom_dict_framewise = parse_summed_pfa(summed_pfa_file=self.summed_pfa_filename_framewise, atom_info=self.atom_info_list, residue_list=self.residue_list) + #self.save_atom_dict(mode="framewise") else: raise ValueError("Mode not specified or Incorrect") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) + def save_atom_dict(self, mode): + if mode == "average": + with open(f'{self.summed_pfa_filename.split(".")[0]}.pkl', 'wb') as fl: + pickle.dump(self.atom_dict, fl, protocol=pickle.HIGHEST_PROTOCOL) + logger.info(f'Database file saved at {self.summed_pfa_filename.split(".")[0]}.pkl') + elif mode == "framewise": + with open(f'{self.summed_pfa_filename_framewise.split(".")[0]}.pkl', 'wb') as fl: + pickle.dump(self.atom_dict_framewise, fl, protocol=pickle.HIGHEST_PROTOCOL) + logger.info(f'Database file saved at {self.summed_pfa_filename_framewise.split(".")[0]}.pkl') + + def load_database(self, database_file, mode): + if mode == "average": + with open(database_file, 'rb') as fl: + self.atom_dict = pickle.load(fl) + logger.info(f'Loaded database file') + elif mode == "framewise": + with open(database_file, 'rb') as fl: + self.atom_dict_framewise = pickle.load(fl) + logger.info(f'Loaded database file') + def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): ''' Function to load bfactor to a new PDB file. @@ -370,7 +411,7 @@ def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): - mode : "atomistic" loads value per atom. "groupwise" loads value averaged for the entire group. ''' try: - if self.atom_dict==None: + if self.atom_dict==None and self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa(framewise=False) function before running this function") else: #if self.framewise: @@ -379,15 +420,15 @@ def bfactor_pdb(self, bfactor_pdb_filename=None, mode="atomistic"): if bfactor_pdb_filename==None: self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/bfactor_"+self.timestamp+os.path.basename(self.pdb_filename)[:-4]+".pdb"))) else: - self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+bfactor_pdb_filename))) + self.bfactor_pdb_filename = os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/"+bfactor_pdb_filename+".pdb"))) - print("Loading a new PDB file with bFactor") + logger.info("Loading a new PDB file with bFactor") bfactor_pdb(atom_dict=self.atom_dict if self.atom_dict!=None else self.atom_dict_framewise, pdb_filename=self.pdb_filename, bfactor_pdb_filename=self.bfactor_pdb_filename, mode=mode) except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) def force_graph(self, specific_frame=None, window=None): @@ -402,7 +443,7 @@ def force_graph(self, specific_frame=None, window=None): if self.framewise==True: if self.atom_dict_framewise==None: raise ValueError("Force of atoms are not calculated yet, please run parse_pfa() function before running this function") - print("Creating framewise average force plot") + logger.info("Creating framewise average force plot") if specific_frame==None and window==None: create_average_residue_graph(atom_dict=self.atom_dict_framewise, plot_name=self.experiment_name+"/force_averaged") @@ -417,11 +458,11 @@ def force_graph(self, specific_frame=None, window=None): else: if self.atom_dict==None: raise ValueError("Force property of atoms are not calculated yet, please run parse_pfa() function before running this function") - print("Creating average force plot") + logger.info("Creating average force plot") create_average_residue_graph(atom_dict=self.atom_dict, plot_name=self.experiment_name+"/force_averaged") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=None, num_y_bins=None, split=False): @@ -451,11 +492,10 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N num_y_bins = int(num_y_bins) try: if not specific_frame and not window: - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="average") - print("Creating curvature plot") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="average", split = split) + logger.info("Creating curvature plot") plot_curvature( universe=self.mda_universe, atom_dict=self.atom_dict if self.atom_dict!=None else self.atom_dict_framewise, - selection=selection, num_x_bins=num_x_bins, num_y_bins=num_y_bins, split=split, @@ -465,11 +505,10 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N if self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa() function before running this function") else: - print(f"Creating {specific_frame} specific frame curvature plot") - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="framewise") + logger.info(f"Creating curvature plot for frame {specific_frame}") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="framewise", split = split) plot_curvature_framewise( universe=self.mda_universe, atom_dict=self.atom_dict_framewise, - selection = selection, specific_frame=specific_frame, num_x_bins = num_x_bins, num_y_bins = num_y_bins, @@ -480,8 +519,8 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N if self.atom_dict_framewise==None: raise ValueError("Force property of atoms are not calculated yet, please run make_summed_pfa() function before running this function") else: - print(f"Creating {window} window size curvature plots") - angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.group1, self.group2, filename=os.path.abspath(os.path.expanduser(os.path.expandvars(self.experiment_name+"/angle.xvg"))), mode="window") + logger.info(f"Creating {window} window size curvature plots") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, self.group1, self.group2, mode="window", split = split) plot_curvature_window( universe=self.mda_universe, atom_dict=self.atom_dict_framewise, window_size = window, @@ -492,25 +531,26 @@ def curvature(self, specific_frame=None, window=None, selection="", num_x_bins=N plot_name=self.experiment_name+"/curvature_moving_window") except: - print(traceback.format_exc()) + logger.error(traceback.print_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) sys.exit(0) return - def cluster(self, attached_ligands=None, lipids_to_cluster=None, protein_residue_names=None, box_side_length = 6): + def cluster(self, lipids_to_cluster=None, attached_ligands=None, protein_residue_names=None, mode="pair", box_side_length = 6): try: - print("Making clutering plots") - attached_ligands=self.group1 if attached_ligands == None else attached_ligands - Lipids_to_cluster=self.group2 if lipids_to_cluster == None else lipids_to_cluster - protein_residue_names = [x for x in self.mda_residue_name if x not in [attached_ligands, Lipids_to_cluster]] + logger.info("Making clutering plots") + lipids_to_cluster=self.group1 if lipids_to_cluster == None else lipids_to_cluster + attached_ligands=[None] if attached_ligands == None else [attached_ligands] + protein_residue_names = [x for x in self.mda_residue_name if x not in [attached_ligands, lipids_to_cluster]] if mode == "pair" else [x for x in self.mda_residue_name if x not in [lipids_to_cluster]] clustering_plots(pdb_file=self.pdb_filename, top_bottom='top', - Box_side_length=box_side_length, + box_side_length=box_side_length, protein_residue_names=protein_residue_names, attached_ligands=attached_ligands, - Lipids_to_cluster=Lipids_to_cluster, + lipids_to_cluster=lipids_to_cluster, + mode=mode, plot_name=self.experiment_name+"/cluster") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) sys.exit(0) return @@ -522,7 +562,7 @@ def msd(self, select='all', msd_type='xyz', fft=True, timestep=1, start_index=No - msd_type : MSD Type ''' try: - print("Calculating diffusion coefficient") + logger.info("Calculating diffusion coefficient") plot_msd(universe=self.mda_universe, select=select, msd_type=msd_type, @@ -532,7 +572,60 @@ def msd(self, select='all', msd_type='xyz', fft=True, timestep=1, start_index=No end_index=end_index, plot_name=self.experiment_name+"/MSD") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) + sys.exit(0) + return + + def angles(self, selection, grouping, c_atom_name, split = False): + ''' + Function to plot the averaged angle with the z-axis for the selected lipids over all frames. + Arguments : + - select : MDUniverse Atom selection + - msd_type : MSD Type + ''' + try: + logger.info(f"Calculating lipid angles with vector as P -> {c_atom_name}") + angle = gangle(self.trr_filename, self.tpr_filename, self.ndx_filename, self.pdb_filename, self.mda_universe, selection = selection, grouping = grouping, c_atom_name = c_atom_name, split = split, angles = True) + if grouping != 'combine': + if split == False: + color = iter(plt.cm.cmap_d['rainbow'](np.linspace(0, 1, len(selection)))) + for n, group in enumerate(selection): + plt.plot(list(range(len(angle[group]))), angle[group], linewidth=1, color=next(color), label=group, alpha=0.6) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(bbox_to_anchor=(1.04,0.5), loc="center left", borderaxespad=0) + plt.title(f'Lipid Angles P to {c_atom_name} {"_".join(selection)}', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_P_to_{c_atom_name}_{"_".join(selection)}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + for split in ["Upper", "Lower"]: + color = iter(plt.cm.cmap_d['rainbow'](np.linspace(0, 1, len(selection)))) + for n, group in enumerate(selection): + plt.plot(range(len(angle[split][group])), angle[split][group], linewidth=1, color=next(color), label=group, alpha=0.6) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(bbox_to_anchor=(1.04,0.5), loc="center left", borderaxespad=0) + plt.title(f'Lipid Angles P to {c_atom_name} {"_".join(selection)} {split} Membrane', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_P_to_{c_atom_name}_{"_".join(selection)}_{split}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + if split == False: + plt.plot(range(len(angle["Combined"])), angle["Combined"], linewidth=1, color='crimson', label="Combined") + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.title(f'Lipid Angles P to {c_atom_name} combined', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_combined_P_to_{c_atom_name}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + else: + for split in ["Upper", "Lower"]: + plt.plot(range(len(angle[split]["Combined"])), angle[split]["Combined"], linewidth=1, color='crimson', label="Combined") + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.title(f'Lipid Angles P to {c_atom_name} combined {split} Membrane', fontdict={'fontsize':10}) + plt.savefig(f'{self.experiment_name}/angles_framewise_combined_P_to_{c_atom_name}_{split}.svg', dpi = 1000, bbox_inches="tight") + plt.close() + except: + logger.error(traceback.format_exc(), "at line", format(sys.exc_info()[-1].tb_lineno)) sys.exit(0) return @@ -541,23 +634,25 @@ def version_control(version): if version not in ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']: raise ValueError("Please enter valid gromac version from list ['v2020.4-fda2.10.2', 'v2020.3-fda2.10.1', 'v2020.3-fda2.10', 'v2020-fda2.10', 'v2019.3-fda2.9.1', 'v2018.7-fda2.9.1']") if not os.path.isdir(version): - print(f"Installing GROMACS FDA version {version}") - subprocess.run(["mkdir", "-p", f"{version}/installation"]) - os.chdir(version) - subprocess.run(["wget", f"https://github.com/HITS-MBM/gromacs-fda/archive/refs/tags/{version}.tar.gz", "-outfile", f"{version}.tar.gz"]) - subprocess.run(["tar", "-xvzf", f"{version}.tar.gz"]) - subprocess.run(["mkdir", "-p", f"gromacs-fda-{version[1:]}/build"]) - Installation_directory = os.getcwd()+'/installation' - Build_directory = os.getcwd()+f"/gromacs-fda-{version[1:]}/build" - os.chdir(Build_directory) - subprocess.run(["cmake", f"-DCMAKE_INSTALL_PREFIX={Installation_directory}", "-DGMX_BUILD_FDA=ON", "-DGMX_DEFAULT_SUFFIX=OFF", "-DGMX_BINARY_SUFFIX=_fda", "-DGMX_SIMD=NONE", "-DGMX_BUILD_UNITTESTS=OFF", "-DGMX_GPU=OFF", ".."]) - subprocess.run(["make", "-j", "1"]) - subprocess.run(["make", "check"]) - subprocess.run(["make", "install"]) - os.chdir("../../..") + logger.info(f"Installing GROMACS FDA version {version}") + subprocess.call(["sudo", "apt-get", "install", "libboost-all-dev", "libfftw3-3", "libfftw3-dev"]) + subprocess.run(["mkdir", "-p", f"{version}/"]) + subprocess.run(["git", "clone", f"https://github.com/HITS-MBM/gromacs-fda.git", "-b", f"{version}"]) + subprocess.run(["mkdir", "-p", f"gromacs-fda/build"]) + Installation_directory = os.getcwd()+f"/{version}" + os.chdir(f"gromacs-fda/build") + subprocess.check_call(["cmake", f"-DCMAKE_INSTALL_PREFIX={Installation_directory}", "-DGMX_BUILD_FDA=ON", "-DGMX_DEFAULT_SUFFIX=OFF", "-DGMX_BINARY_SUFFIX=_fda", "-DGMX_SIMD=NONE", "-DGMX_BUILD_UNITTESTS=ON", "-DGMX_GPU=OFF", ".."]) + subprocess.check_call(["make", "-j", "1"]) + subprocess.check_call(["make", "check"]) + subprocess.check_call(["make", "install"]) + os.chdir("../../") + subprocess.run(["rm", "-rf", "gromacs-fda"]) + logger.info(f"Installed GROMACS FDA version {version}") except: - print(traceback.format_exc()) + logger.error("Please ensure that you have the prerequisites for installing GROMACS-FDA. Please open a GItHub issue if you cannot get it to work") + logger.error(traceback.format_exc()) subprocess.run(["rm", "-rf", f"{version}/"]) + subprocess.run(["rm", "-rf", "gromacs-fda/"]) sys.exit(0) return @@ -594,22 +689,22 @@ def create_pfi(path, group_1, group_2, force_type="all", onepair="summed", atomb end_time = time.time() - print("{} file created in {} seconds ".format(path, (end_time-start_time))) + logger.info("{} file created in {} seconds ".format(path, (end_time-start_time))) except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return def run_gmx_fda(fda_install_path, trr_filename, tpr_filename, pfi_filename, pfa_filename, index_file, threads=1): try: gromacs_start = time.time() - subprocess.run([f"{fda_install_path}/gmx_fda", "mdrun", "-rerun", trr_filename, "-s", tpr_filename, "-pfi", pfi_filename, "-nt", str(threads), "-pfa", pfa_filename, "-pfn", index_file]) + subprocess.check_call([f"{fda_install_path}/./gmx_fda", "mdrun", "-rerun", trr_filename, "-s", tpr_filename, "-pfi", pfi_filename, "-nt", str(threads), "-pfa", pfa_filename, "-pfn", index_file]) gromacs_end = time.time() - print("GMX RUN completed in {} seconds".format((gromacs_end-gromacs_start))) + logger.info("GMX RUN completed in {} seconds".format((gromacs_end-gromacs_start))) return except: - print(traceback.format_exc()) + logger.error("Please ensure that your files are compatible with the GROMACS FDA version and are entered correctly!!") sys.exit(0) return @@ -638,32 +733,58 @@ def parse_gro(filename): gro_parse_start = time.time() with open(filename, 'r') as fp: - gro_file = fp.readlines() - num_atoms = int(gro_file[1]) + title = fp.readline() + num_atoms = int(fp.readline()) atom_info_list = [] - for i in gro_file[2:-1]: + gro_current_line = '' + while True: + previous_line = copy.deepcopy(gro_current_line) + gro_current_line = fp.readline() + if len(gro_current_line) == 0: + break atom_info = {"Residue_Number" : None, "Residue_Name" : None, "Atom_Name" : None, "Atom_Number" : None, "X_Coordinate" : None, "Y_Coordinate" : None, "Z_Coordinate" : None, "X_Velocity" : None, "Y_Velocity" : None, "Z_Velocity" : None} - atom_info["Residue_Number"] = int(i[:5]) - atom_info["Residue_Name"] = str(i[5:10]).strip() - atom_info["Atom_Name"] = str(i[10:15]).strip() - atom_info["Atom_Number"] = int(i[15:20]) - atom_info["X_Coordinate"] = float(i[20:28]) - atom_info["Y_Coordinate"] = float(i[28:36]) - atom_info["Z_Coordinate"] = float(i[36:44]) - atom_info["X_Velocity"] = float(i[44:52]) - atom_info["Y_Velocity"] = float(i[52:60]) - atom_info["Z_Velocity"] = float(i[60:68]) - atom_info_list.append(atom_info) - box_vectors = list(map(float,gro_file[-1].split())) - + try: + gro_current_line = gro_current_line.split() + if len(gro_current_line) == 9: + Residue_Name = re.search(r"[a-zA-Z]", gro_current_line[0]) + Residue_Name = Residue_Name.start() + atom_info["Residue_Number"] = int(gro_current_line[0][:Residue_Name]) + atom_info["Residue_Name"] = str(gro_current_line[0][Residue_Name:]) + atom_info["Atom_Name"] = str(gro_current_line[1]) + atom_info["Atom_Number"] = int(gro_current_line[2]) + current_len = len(gro_current_line[2]) + atom_info["X_Coordinate"] = float(gro_current_line[3]) + atom_info["Y_Coordinate"] = float(gro_current_line[4]) + atom_info["Z_Coordinate"] = float(gro_current_line[5]) + atom_info["X_Velocity"] = float(gro_current_line[6]) + atom_info["Y_Velocity"] = float(gro_current_line[7]) + atom_info["Z_Velocity"] = float(gro_current_line[8]) + atom_info_list.append(atom_info) + else: + Residue_Name = re.search(r"[a-zA-Z]", gro_current_line[0]) + Residue_Name = Residue_Name.start() + atom_info["Residue_Number"] = int(gro_current_line[0][:Residue_Name]) + atom_info["Residue_Name"] = str(gro_current_line[0][Residue_Name:]) + atom_info["Atom_Name"] = str(gro_current_line[1][:current_len]) + atom_info["Atom_Number"] = int(gro_current_line[1][current_len:]) + current_len = len(gro_current_line[:current_len]) + atom_info["X_Coordinate"] = float(gro_current_line[2]) + atom_info["Y_Coordinate"] = float(gro_current_line[3]) + atom_info["Z_Coordinate"] = float(gro_current_line[4]) + atom_info["X_Velocity"] = float(gro_current_line[5]) + atom_info["Y_Velocity"] = float(gro_current_line[6]) + atom_info["Z_Velocity"] = float(gro_current_line[7]) + atom_info_list.append(atom_info) + except: + break + box_vectors = list(map(float,previous_line[-1].split())) gro_parse_end = time.time() - - print("{} file parsed. with {} atoms in {} seconds".format(filename, num_atoms, (gro_parse_end-gro_parse_start))) + logger.info("{} file parsed. with {} atoms in {} seconds".format(filename, num_atoms, (gro_parse_end-gro_parse_start))) return num_atoms, atom_info_list, box_vectors except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return @@ -693,22 +814,18 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi Forces_on_Atoms = [] for i in range(0, num_atoms+1): Forces_on_Atoms.append(Point(0, 0, 0)) - num_frames = 0 with open(pfa_filename, "r") as fp: pfa_current_line = fp.readline() while True: pfa_current_line = fp.readline() - #if blank line then end of file and end the read operation if len(pfa_current_line) == 0: break - #if new frame is detected then increment frame number elif pfa_current_line[:5] == "frame" or pfa_current_line[:5] == "force": num_frames += 1 continue - #summation of forces from all frames are done if # force is applied by atom then forces are subtracted # otherwise added to previous force sum @@ -717,10 +834,8 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi force_applied_by = int(pfa_current_line[1]) force_recieved_by = int(pfa_current_line[0]) force_magnitude = Point(pfa_current_line[2], pfa_current_line[3], pfa_current_line[4]) - Forces_on_Atoms[force_recieved_by] += force_magnitude Forces_on_Atoms[force_applied_by] += force_magnitude.negate() - #all forces will be written in new pfa file with open(summed_pfa_filename, "w") as fp: fp.write("frame " + str(num_frames) + "\n") @@ -729,7 +844,7 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi #If framewise force summation is selected else: - + open(summed_pfa_filename, "w").close() #Intitialise forces on atom with 0 Forces_on_Atoms_Holder = [] for i in range(0, num_atoms+1): @@ -740,17 +855,15 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi pfa_current_line = fp.readline() while True: pfa_current_line = fp.readline() - #if blank line then end of file and end the read operation if len(pfa_current_line) == 0: break - #if new frame is detected then summation of forces from previous frame is written in file elif pfa_current_line[:5] == "frame" or pfa_current_line[:5] == "force": frame_number = int(pfa_current_line[6:]) - if frame_number > 0: + if frame_number >= 0: with open(summed_pfa_filename, "a") as fp_temp: - fp_temp.write("frame " + str(frame_number-1) + "\n") + fp_temp.write("frame " + str(frame_number) + "\n") for i in range(0, len(Forces_on_Atoms)): fp_temp.write(str(i+1) + "\t" + str(Forces_on_Atoms[i].x) + "\t" + str(Forces_on_Atoms[i].y) + "\t" + str(Forces_on_Atoms[i].z) + "\n") Forces_on_Atoms = [] @@ -771,10 +884,10 @@ def create_summed_pfa(pfa_filename, num_atoms, summed_pfa_filename=None, framewi end_time=time.time() - print("Parsed PFA file {} created with {} atoms in {} seconds".format(summed_pfa_filename, num_atoms, (end_time-start_time))) + logger.info("Parsed PFA file {} created with {} atoms in {} seconds".format(summed_pfa_filename, num_atoms, (end_time-start_time))) except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return @@ -805,24 +918,18 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): ''' try: start_time=time.time() - current_frame = 0 AllResidueGroupsFramewise = {} - with open(summed_pfa_file, 'r') as fp: restart = True - while restart: for i in atom_info: - # read lines from summation generated pfa file summed_pfa_current_line = fp.readline().split() - #if blank line then end of file and end the read operation if len(summed_pfa_current_line) == 0: restart = False break - #if new frame is detected then summation of forces from previous frame is written in file elif summed_pfa_current_line[0] == "frame": current_frame = int(summed_pfa_current_line[1]) @@ -830,7 +937,6 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): for residueName in residue_list: AllResidueGroupsFramewise[current_frame][str(residueName)] = [] break - #summation of forces from one frames are done if # force is applied by atom then forces are subtracted # otherwise added to previous force sum @@ -855,12 +961,12 @@ def parse_summed_pfa(summed_pfa_file, atom_info, residue_list): AllResidueGroupsFramewise[current_frame][i["Residue_Name"]].append(forceAtom) end_time = time.time() - print("PFA file parsed in {} seconds".format((end_time-start_time))) + logger.info("Summed PFA file parsed in {} seconds".format((end_time-start_time))) return AllResidueGroupsFramewise except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return @@ -879,7 +985,6 @@ def bfactor_pdb(atom_dict, pdb_filename, bfactor_pdb_filename, mode = "combined" ''' try: start_time = time.time() - bfactor = {} atom_numbers = {} min_force = np.finfo(float).max @@ -888,65 +993,89 @@ def bfactor_pdb(atom_dict, pdb_filename, bfactor_pdb_filename, mode = "combined" num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] - if mode == "combined": for i in range(numKeys): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] if num_frames == num_frames_orignal else [atom_dict[num_frames_orignal][allKeys[i]]] + if num_frames == num_frames_orignal: + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] + else: + forced_atomGroup = [atom_dict[num_frames_orignal][allKeys[i]]] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] + forced_atomGroup = np.asarray(forced_atomGroup) if num_frames == num_frames_orignal: forces_averaged = [] - for atoms in zip(*forced_atomGroup): - average_at_coordinate = Point(0,0,0) - for atom in atoms: - average_at_coordinate += atom.Force - forces_averaged.append(average_at_coordinate.mod()/len(atoms)) + x=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + x[n1][n2] = forced_atomGroup[n1][n2].Force.x + y=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + y[n1][n2] = forced_atomGroup[n1][n2].Force.y + z=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + z[n1][n2] = forced_atomGroup[n1][n2].Force.z + forces_averaged = np.sqrt(np.square(np.sum(x, axis = 0)) + np.square(np.sum(y, axis = 0)) + np.square(np.sum(z, axis = 0))) else: forces_averaged = [sum(map(lambda x: x.Force.mod(), atoms))/(num_frames_orignal -1) for atoms in zip(*forced_atomGroup)] bfactor[allKeys[i]] = sum(forces_averaged)/len(forces_averaged) atom_numbers[allKeys[i]] = [atom.AtomNumber for atom in forced_atomGroup[0]] else: for i in range(numKeys): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] if num_frames == num_frames_orignal else [atom_dict[num_frames_orignal][allKeys[i]]] + if num_frames == num_frames_orignal: + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(0, num_frames)] + else: + forced_atomGroup = [atom_dict[num_frames_orignal][allKeys[i]]] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] + forced_atomGroup = np.asarray(forced_atomGroup) if num_frames == num_frames_orignal: forces_averaged = [] - for atoms in zip(*forced_atomGroup): - average_at_coordinate = Point(0,0,0) - for atom in atoms: - average_at_coordinate += atom.Force - forces_averaged.append(average_at_coordinate.mod()/len(atoms)) + x=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + x[n1][n2] = forced_atomGroup[n1][n2].Force.x + y=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + y[n1][n2] = forced_atomGroup[n1][n2].Force.y + z=np.zeros(forced_atomGroup.shape) + for n1, ii in enumerate(forced_atomGroup): + for n2, j in enumerate(ii): + z[n1][n2] = forced_atomGroup[n1][n2].Force.z + forces_averaged = np.sqrt(np.square(np.sum(x, axis = 0)) + np.square(np.sum(y, axis = 0)) + np.square(np.sum(z, axis = 0))) else: forces_averaged = [sum(map(lambda x: x.Force.mod(), atoms))/(num_frames_orignal -1) for atoms in zip(*forced_atomGroup)] bfactor[allKeys[i]] = {} atom_numbers[allKeys[i]] = [atom.AtomNumber for atom in forced_atomGroup[0]] for n, atom_num in enumerate(atom_numbers[allKeys[i]]): bfactor[allKeys[i]][atom_num] = forces_averaged[n] - min_force = np.min(forces_averaged) if np.min(forces_averaged) < min_force else min_force max_force = np.max(forces_averaged) if np.max(forces_averaged) > max_force else max_force with open(pdb_filename, 'r') as fp_read: with open(bfactor_pdb_filename, 'w') as fp_write: - split_lines = fp_read.readlines() - for i in split_lines: - if i[0:4] != "ATOM": - fp_write.write(str(i)) + while True: + line = fp_read.readline() + if line[:6] == "ENDMDL": + break + if line[0:4] != "ATOM": + fp_write.write(str(line)) else: found = 0 - atom_number = int(i[6:11]) + atom_number = int(line[6:11]) for atom in atom_numbers: if atom_number in atom_numbers[atom]: - fp_write.write(i[:-17] + str(round(((bfactor[atom]- min_force) / (max_force - min_force) * 9.99), 2))+ "\n") if mode == "combined" else fp_write.write(i[:-17] + str(round(((bfactor[atom][atom_number] - min_force) / (max_force - min_force) * 9.99), 2))+ "\n") + fp_write.write(line[:-17] + str(round(((bfactor[atom]- min_force) / (max_force - min_force) * 9.99), 2))+ "\n") if mode == "combined" else fp_write.write(line[:-17] + str(round(((bfactor[atom][atom_number] - min_force) / (max_force - min_force) * 9.99), 2))+ "\n") fp_read.readline() found = True break if not found: - fp_write.write(str(i)) + fp_write.write(str(line)) end_time = time.time() - print("PDB with BFactor values created in {} seconds".format((end_time-start_time))) + logger.info("PDB with BFactor values created in {} seconds".format((end_time-start_time))) except: - print(traceback.format_exc()) + logger.error(traceback.format_exc(), format(sys.exc_info()[-1].tb_lineno)) sys.exit(0) return @@ -972,14 +1101,16 @@ def create_average_residue_graph(atom_dict, plot_name="average"): distances = [atom.Coords.z for atom in forced_atomGroup[0]] axs[i].plot(distances, forces_averaged) axs[i].title.set_text(str(allKeys[i])) - fig.savefig(f"{plot_name}_{allKeys}.png") + axs[i].set_xlabel("Z - Coordinate", fontsize=10) + fig.supylabel("Force (N)", fontsize=10) + fig.tight_layout() + fig.savefig(f"{plot_name}_{allKeys}.svg", dpi = 1000) plt.close() - print(f"Average Force plots created and saved") + logger.info(f"Average Force plots created and saved") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) - return def create_specific_frame_graph(atom_dict, specific_frame, plot_name="specific_frame"): try: @@ -993,23 +1124,23 @@ def create_specific_frame_graph(atom_dict, specific_frame, plot_name="specific_f distances = [atom.Coords.z for atom in forced_atomGroup] plt.plot(distances, forces) plt.title(str(allKeys[i])+"_"+str(frame)) - plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}.png") + plt.xlabel("Z - Coordinate", fontsize=10, labelpad=5) + plt.ylabel("Force (N)", fontsize=10, labelpad=5) + plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}.svg", dpi = 1000) plt.close() - - print(f"Force plots created and saved for frame - {specific_frame}") + logger.info(f"Force plots created and saved for frame - {specific_frame}") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) - return def create_moving_window_graph(atom_dict, moving_window, plot_name="moving_window"): try: - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] for i in range(numKeys): for frame in range(0, num_frames, moving_window): - forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(frame, frame + moving_window)] + forced_atomGroup = [atom_dict[window][allKeys[i]] for window in range(frame, frame + moving_window) if window <= num_frames] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] forces_averaged = [] for atoms in zip(*forced_atomGroup): @@ -1019,14 +1150,14 @@ def create_moving_window_graph(atom_dict, moving_window, plot_name="moving_windo forces_averaged.append(average_at_coordinate.mod()/len(atoms)) distances = [atom.Coords.z for atom in forced_atomGroup[0]] plt.plot(distances, forces_averaged) + plt.xlabel("Z - Coordinate", fontsize=10, labelpad=5) + plt.ylabel("Force (N)", fontsize=10, labelpad=5) plt.title(f'{allKeys[i]}_{frame}_to_{frame+moving_window}') - plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}_to_{frame+moving_window}.png") + plt.savefig(f"{plot_name}_{allKeys[i]}_{frame}_to_{frame+moving_window}.svg", dpi = 1000) plt.close() - print(f"Force plots created and saved for moving window of size - {moving_window}") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) - return def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined"): num_frames = len(atom_dict) @@ -1081,7 +1212,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b for n,i in enumerate(forced_atomGroup): temp_binned_data[atom_x_bin[n] - 1][atom_y_bin[n] - 1] = i.Force.mod()/(num_frames_orignal -1) binned_data_split[key].append(temp_binned_data) - selected_atoms = ["P"] curavature_plots = ["Z_Surface", "Mean_Curvature", "Gaussian_Curvature"] if not split: @@ -1089,7 +1219,7 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.average_z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.average_mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.average_gaussian @@ -1108,7 +1238,7 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1123,7 +1253,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b axis_removed_split[split_key][selected_atoms[i]]["Z_Surface"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"]).argmin(), np.array(curvature_selected.results.average_z_surface).shape)) axis_removed_split[split_key][selected_atoms[i]]["Mean_Curvature"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"]).argmin(), np.array(curvature_selected.results.average_mean).shape)) axis_removed_split[split_key][selected_atoms[i]]["Gaussian_Curvature"].append(np.unravel_index(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"]).argmin(), np.array(curvature_selected.results.average_gaussian).shape)) - rows = [] if not split: for i in range(len(selected_atoms)): @@ -1133,11 +1262,14 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j].min(), selected_residues[selected_atoms[i]][j].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j]), np.nanmax(selected_residues[selected_atoms[i]][j])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][:,axis_removed[selected_atoms[i]][j][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1147,7 +1279,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b ax[1][n].set_title(f" Y Bin {axis_removed[selected_atoms[i]][j][1]} Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data[lipid], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data[lipid], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1156,14 +1287,15 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {gangle[list(gangle.keys())[0]]} \n{list(gangle.keys())[1]} : {gangle[list(gangle.keys())[1]]}", ha="center", fontdict={'fontsize':6}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}.png', dpi = 1000) - #plt.show() + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}.svg', dpi = 1000) plt.close() else: for position in binned_data_split: @@ -1174,12 +1306,15 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j].min(), selected_residues_split[position][selected_atoms[i]][j].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - #cbar.set_label(f"Average {j} (nm$^{-1}$)", fontsize=5, labelpad=2) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) + for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][:,axis_removed_split[position][selected_atoms[i]][j][0][1]], linewidth= 1, color='mediumseagreen', label="Max") ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][:,axis_removed_split[position][selected_atoms[i]][j][1][1]], linewidth= 1, color='purple', label="Min") @@ -1188,7 +1323,6 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b ax[1][n].set_title(f" Y Bin {axis_removed_split[position][selected_atoms[i]][j][1]} Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data_split[position][lipid], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data_split[position][lipid], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1197,19 +1331,19 @@ def plot_curvature(universe, atom_dict, selection = "", num_x_bins = 10, num_y_b cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {gangle[position][list(gangle[position].keys())[0]]} \n{list(gangle[position].keys())[1]} : {gangle[position][list(gangle[position].keys())[1]]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}.svg', dpi = 1000) plt.close() - - return def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection = "", num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined_framewise"): - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] @@ -1272,7 +1406,7 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.gaussian @@ -1290,7 +1424,7 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1315,11 +1449,14 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j][frame], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j][frame], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j][frame].min(), selected_residues[selected_atoms[i]][j][frame].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j][frame]), np.nanmax(selected_residues[selected_atoms[i]][j][frame])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][frame][:,axis_removed[selected_atoms[i]][j][frame][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1337,13 +1474,24 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle[specific_frame]}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {gangle[list(gangle.keys())[0]][frame]} \n{list(gangle.keys())[1]} : {gangle[list(gangle.keys())[1]][frame]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} - Frame {frame}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}.svg', dpi = 1000) plt.close() + if gangle!=None: + plt.plot(range(len(gangle[list(gangle.keys())[0]])), gangle[list(gangle.keys())[0]], linewidth=1, color='crimson', label=list(gangle.keys())[0]) + plt.plot(range(len(gangle[list(gangle.keys())[1]])), gangle[list(gangle.keys())[1]], linewidth=1, color='deepskyblue', label=list(gangle.keys())[1]) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_framewise.svg', dpi = 1000) + plt.close() else: for i in range(len(selected_atoms)): for position in binned_data_split[allKeys[i]]: @@ -1354,12 +1502,14 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j][frame], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j][frame], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j][frame].min(), selected_residues_split[position][selected_atoms[i]][j][frame].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j][frame]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j][frame])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) - + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][frame][:,axis_removed_split[position][selected_atoms[i]][j][frame][0][1]], linewidth= 1, color='mediumseagreen', label="Max") ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][frame][:,axis_removed_split[position][selected_atoms[i]][j][frame][1][1]], linewidth= 1, color='purple', label="Min") @@ -1368,7 +1518,6 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection ax[1][n].set_title(f"Y Bin ({axis_removed_split[position][selected_atoms[i]][j][frame][0][1]},{axis_removed_split[position][selected_atoms[i]][j][frame][1][1]}) Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) if n == 0: ax[1][n].legend(loc="upper right", markerscale=0.3, fontsize='xx-small') - for lipid in range(numKeys): im = ax[2][lipid].contourf(binned_data_split[allKeys[lipid]][position][0], cmap='PuBuGn', origin='lower') ax[2][lipid].contour(binned_data_split[allKeys[lipid]][position][0], cmap = 'PuBuGn', origin='lower', levels=10) @@ -1377,18 +1526,25 @@ def plot_curvature_framewise(universe, atom_dict, specific_frame=None, selection cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() - if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {gangle[specific_frame]}", ha="center", fontdict={'fontsize':7}) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {gangle[position][list(gangle[position].keys())[0]][specific_frame]} \n{list(gangle[position].keys())[1]} : {gangle[position][list(gangle[position].keys())[1]][specific_frame]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane - Frame {frame}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_{frame}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{frame}_{position}.svg', dpi = 1000) plt.close() - return + plt.plot(range(len(gangle[position][list(gangle[position].keys())[0]])), gangle[position][list(gangle[position].keys())[0]], linewidth=1, color='crimson', label=list(gangle[position].keys())[0]) + plt.plot(range(len(gangle[position][list(gangle[position].keys())[1]])), gangle[position][list(gangle[position].keys())[1]], linewidth=1, color='deepskyblue', label=list(gangle[position].keys())[1]) + plt.xlabel("Frame") + plt.ylabel("Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_framewise_{position}.svg', dpi = 1000) + plt.close() def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10, num_y_bins = 10, split = False, gangle = None, plot_name="curvature_combined_window"): - num_frames = len(atom_dict) + num_frames = len(atom_dict) - 1 num_frames_orignal = list(atom_dict.keys())[0] if num_frames == 1 else num_frames numKeys = len(atom_dict[list(atom_dict.keys())[0]]) allKeys = [key for key in atom_dict[list(atom_dict.keys())[0]]] @@ -1402,7 +1558,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 binned_data_split[allKeys[i]] = {"Upper": [], "Lower": []} frame_list = [] for window in range(0, num_frames, window_size): - forced_atomGroup = [atom_dict[windowc][allKeys[i]] for windowc in range(window, window+window_size)] + forced_atomGroup = [atom_dict[windowc][allKeys[i]] for windowc in range(window, window+window_size) if windowc <= num_frames] [specific_frame.sort(key= lambda x: x.Coords.z) for specific_frame in forced_atomGroup] if split: mean_z = mean([x.Coords.z for x in forced_atomGroup[0]]) @@ -1413,10 +1569,10 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 temp_range = (int(min(lower_membrane[0], key = lambda x: x.Coords.z).ResNum), int(max(lower_membrane[0], key = lambda x: x.Coords.z).ResNum)) lower_range.append((min(temp_range), max(temp_range))) if not split: - x_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size)], key = lambda atom: atom.Coords.x).Coords.x)) - x_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size)], key = lambda atom: atom.Coords.x).Coords.x)) - y_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size)], key = lambda atom: atom.Coords.y).Coords.y)) - y_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size)], key = lambda atom: atom.Coords.y).Coords.y)) + x_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.x).Coords.x)) + x_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.x) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.x).Coords.x)) + y_min = math.floor(int(min([min(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.y).Coords.y)) + y_max = math.ceil(int(max([max(forced_atomGroup[windowc], key = lambda atom: atom.Coords.y) for windowc in range(window_size) if windowc + window <= num_frames], key = lambda atom: atom.Coords.y).Coords.y)) x_coordinates = [float(atom.Coords.x) for atom in forced_atomGroup[0]] y_coordinates = [float(atom.Coords.y) for atom in forced_atomGroup[0]] x_bins = np.arange(x_min, x_max, (x_max - x_min)/num_x_bins) @@ -1460,16 +1616,16 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 axis_removed = {} for i in range(len(selected_atoms)): selected_residues[selected_atoms[i]] = {} - curvature_selected = MembraneCurvature(universe, select = f"name {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 + curvature_selected = MembraneCurvature(universe, select = f"type {selected_atoms[i]}", n_x_bins = num_x_bins, n_y_bins = num_y_bins).run() #, select = 'resid 0-1023', n_x_bins=12, n_y_bins=12 selected_residues[selected_atoms[i]]["Z_Surface"] = curvature_selected.results.z_surface selected_residues[selected_atoms[i]]["Mean_Curvature"] = curvature_selected.results.mean selected_residues[selected_atoms[i]]["Gaussian_Curvature"] = curvature_selected.results.gaussian for i in range(len(selected_atoms)): axis_removed[selected_atoms[i]] = {"Z_Surface" : list(range(num_frames)), "Mean_Curvature": list(range(num_frames)), "Gaussian_Curvature": list(range(num_frames))} for window in range(0, num_frames, window_size): - z_sur = np.mean(np.array(selected_residues[selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) - meanc = np.mean(np.array(selected_residues[selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) - gausc = np.mean(np.array(selected_residues[selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) + z_sur = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) + meanc = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) + gausc = np.nanmean(np.array(selected_residues[selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) axis_removed[selected_atoms[i]]["Z_Surface"][window] = [np.unravel_index(np.nanargmax(z_sur), z_sur.shape)] axis_removed[selected_atoms[i]]["Mean_Curvature"][window] = [np.unravel_index(np.nanargmax(meanc), meanc.shape)] axis_removed[selected_atoms[i]]["Gaussian_Curvature"][window] = [np.unravel_index(np.nanargmax(gausc), gausc.shape)] @@ -1482,7 +1638,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 for split_key in selected_residues_split: lower_limit = min(lower_range)[0] if split_key == "Lower" else min(upper_range)[0] upper_limit = max(lower_range)[1] if split_key == "Lower" else max(upper_range)[1] - universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('name P').center_of_mass()[2]} and name P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('name P').center_of_mass()[2]} and name P") + universe_selected = universe.select_atoms(f"prop z < {universe.select_atoms('type P').center_of_mass()[2]} and type P") if split_key == "Lower" else universe.select_atoms(f"prop z > {universe.select_atoms('type P').center_of_mass()[2]} and type P") for i in range(len(selected_atoms)): selected_residues_split[split_key][selected_atoms[i]] = {} curvature_selected = MembraneCurvature(universe_selected, n_x_bins = num_x_bins, n_y_bins = num_y_bins).run()#, select = f"resid {lower_limit}:{upper_limit} and name {selected_atoms[i]}" @@ -1492,9 +1648,9 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 for i in range(len(selected_atoms)): axis_removed_split[split_key][selected_atoms[i]] = {"Z_Surface" : list(range(num_frames)), "Mean_Curvature": list(range(num_frames)), "Gaussian_Curvature": list(range(num_frames))} for window in range(0, num_frames, window_size): - z_sur = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) - meanc = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) - gausc = np.mean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) + z_sur = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Z_Surface"][window : window+window_size]), axis = 0) + meanc = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Mean_Curvature"][window : window+window_size]), axis = 0) + gausc = np.nanmean(np.array(selected_residues_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window : window+window_size]), axis = 0) axis_removed_split[split_key][selected_atoms[i]]["Z_Surface"][window] = [np.unravel_index(np.nanargmax(z_sur), z_sur.shape)] axis_removed_split[split_key][selected_atoms[i]]["Mean_Curvature"][window] = [np.unravel_index(np.nanargmax(meanc), meanc.shape)] axis_removed_split[split_key][selected_atoms[i]]["Gaussian_Curvature"][window] = [np.unravel_index(np.nanargmax(gausc), gausc.shape)] @@ -1504,6 +1660,7 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 rows = [] if not split: for i in range(len(selected_atoms)): + window_angles = [] for windown, window in enumerate(range(0, num_frames, window_size)): fig, ax = plt.subplots(ncols=3, nrows=3, constrained_layout=True) for n, j in enumerate(curavature_plots): @@ -1511,11 +1668,14 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 im = ax[num][n].contourf(selected_residues[selected_atoms[i]][j][window], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues[selected_atoms[i]][j][window], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues[selected_atoms[i]][j][window].min(), selected_residues[selected_atoms[i]][j][window].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues[selected_atoms[i]][j][window]), np.nanmax(selected_residues[selected_atoms[i]][j][window])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues[selected_atoms[i]][j][window][:,axis_removed[selected_atoms[i]][j][window][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1532,18 +1692,33 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 ax[2][lipid].set_aspect('equal') cbar = plt.colorbar(im, ticks=[binned_data[allKeys[lipid]][windown].min(), binned_data[allKeys[lipid]][windown].max()], orientation='horizontal', ax = ax[2][lipid], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {mean(gangle[window:window+window_size])}", ha="center", fontdict={'fontsize':7}) + window_angles.append((mean(gangle[list(gangle.keys())[0]][window:window+window_size]), mean(gangle[list(gangle.keys())[1]][window:window+window_size]))) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle.keys())[0]} : {window_angles[-1][0]} \n{list(gangle.keys())[1]} : {window_angles[-1][1]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} - Window {window}-{window+window_size}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_window_{window}_{window+window_size}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_window_{window}_{window+window_size}.svg', dpi = 1000) + plt.close() + if len(window_angles) > 0: + angles_lipid1 = [x[0] for x in window_angles] + angles_lipid2 = [x[1] for x in window_angles] + plt.plot(range(len(angles_lipid1)), angles_lipid1, linewidth=1, color='crimson') + plt.plot(range(len(angles_lipid2)), angles_lipid2, linewidth=1, color='deepskyblue') + plt.xticks(range(len(window_angles))) + plt.xlabel("Window") + plt.ylabel("Average Angle") + plt.savefig(f'{plot_name}_angles_windowed_{window_size}.svg', dpi = 1000) plt.close() else: for i in range(len(selected_atoms)): for position in binned_data_split[allKeys[i]]: + window_angles = [] for windown, window in enumerate(range(0, num_frames, window_size)): fig, ax = plt.subplots(ncols=3, nrows=3, constrained_layout=True) for n, j in enumerate(curavature_plots): @@ -1551,11 +1726,14 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 im = ax[num][n].contourf(selected_residues_split[position][selected_atoms[i]][j][window], cmap='PuBuGn', origin='lower') ax[num][n].contour(selected_residues_split[position][selected_atoms[i]][j][window], cmap = 'PuBuGn', origin='lower', levels=10) ax[num][n].set_aspect('equal') - cbar = plt.colorbar(im, ticks=[selected_residues_split[position][selected_atoms[i]][j][window].min(), selected_residues_split[position][selected_atoms[i]][j][window].max()], orientation='horizontal', ax = ax[num][n], shrink=0.7) + cbar = plt.colorbar(im, ticks=[np.nanmin(selected_residues_split[position][selected_atoms[i]][j][window]), np.nanmax(selected_residues_split[position][selected_atoms[i]][j][window])], orientation='horizontal', ax = ax[num][n], shrink=0.7) cbar.ax.tick_params(labelsize=3, width=0.5) ax[num][n].xaxis.set_tick_params(labelsize=4) ax[num][n].yaxis.set_tick_params(labelsize=4) - ax[num][n].set_title(f"Average {j} (nm$^{-1}$)", fontdict={'fontsize':5}, pad=2) + ax[num][n].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[num][n].set_ylabel("Y - Coordinate", {'fontsize':4}) + ax[num][n].set_title(f"Average {j}", fontdict={'fontsize':5}, pad=2) + cbar.set_label(f"{j} (nm$^{-1}$)", fontsize=4, labelpad=2) for n, j in enumerate(curavature_plots): ax[1][n].plot(range(num_x_bins), selected_residues_split[position][selected_atoms[i]][j][window][:,axis_removed_split[position][selected_atoms[i]][j][window][0][1]], linewidth= 1, color='mediumseagreen', label="Max") @@ -1574,15 +1752,28 @@ def plot_curvature_window(universe, atom_dict, window_size = 10, num_x_bins = 10 cbar.ax.tick_params(labelsize=3, width=0.5) ax[2][lipid].xaxis.set_tick_params(labelsize=4) ax[2][lipid].yaxis.set_tick_params(labelsize=4) - ax[2][lipid].set_title(f"Force Z {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) - #cbar.set_label(f"Force Z {allKeys[i]}", fontsize=5, labelpad=2) + ax[2][lipid].set_title(f"Forces on {allKeys[lipid]}", fontdict={'fontsize':5}, pad=2) + ax[2][lipid].set_xlabel("X - Coordinate", {'fontsize':4}) + ax[2][lipid].set_ylabel("Y - Coordinate", {'fontsize':4}) + cbar.set_label(f"Force Z (N)", fontsize=4, labelpad=2) ax[2][2].remove() if gangle != None: - plt.figtext(0.85, 0.2, f"Average Angle - \n {mean(gangle[window:window+window_size])}", ha="center", fontdict={'fontsize':7}) + window_angles.append((mean(gangle[position][list(gangle[position].keys())[0]][window:window+window_size]), mean(gangle[position][list(gangle[position].keys())[1]][window:window+window_size]))) + plt.figtext(0.85, 0.2, f"Average Angle - \n {list(gangle[position].keys())[0]} : {window_angles[-1][0]} \n{list(gangle[position].keys())[1]} : {window_angles[-1][1]}", ha="center", fontdict={'fontsize':7}) fig.suptitle(f'Curvature Plots for Atom {selected_atoms[i]} {position} Membrane - Window {window}-{window+window_size}', fontsize=12) - plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_window_{window}_{window+window_size}.png', dpi = 1000) + plt.savefig(f'{plot_name}_{num_x_bins}_{num_y_bins}_{selected_atoms[i]}_{position}_window_{window}_{window+window_size}.svg', dpi = 1000) + plt.close() + if len(window_angles) > 0: + angles_lipid1 = [x[0] for x in window_angles] + angles_lipid2 = [x[1] for x in window_angles] + plt.plot(range(len(angles_lipid1)), angles_lipid1, linewidth=1, color='crimson') + plt.plot(range(len(angles_lipid2)), angles_lipid2, linewidth=1, color='deepskyblue') + plt.xticks(range(len(window_angles))) + plt.xlabel("Window") + plt.ylabel("Average Angle") + plt.legend(loc='upper left') + plt.savefig(f'{plot_name}_angles_windowed_{window_size}_{position}.svg', dpi = 1000) plt.close() - return def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start_index=None, end_index=None, plot_name="MSD"): try: @@ -1599,7 +1790,6 @@ def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start fig = plt.figure() ax = plt.axes() ax.plot(lagtimes, msd_result, color='blue', linestyle="-", label=r'MSD') - # calculate diffusion coefficient start_index = 0 if start_index==None else start_index end_index = -1 if end_index==None else end_index @@ -1609,44 +1799,230 @@ def plot_msd(universe, select='all', msd_type='xyz', fft=True, timestep=1, start slope = linear_model.slope error = linear_model.rvalue D = slope * 1/(2*MSD.dim_fac) - - plt.title(f'MSD vs Frame (Diffusion coefficient : {D})') - plt.savefig(f"{plot_name}.png") + plt.xlabel("Frame", fontsize=10, labelpad=5) + plt.ylabel("MSD", fontsize=10, labelpad=5) + plt.title(f'Frame vs MSD (Diffusion coefficient : {D})') + plt.savefig(f"{plot_name}.svg", dpi = 1000) plt.close() - - print(f"Diffution coefficient and MSD plotted") + logger.info(f"Diffution coefficient and MSD plotted") except: - print(traceback.format_exc()) + logger.error(traceback.format_exc()) sys.exit(0) return -def gangle(trr_filename, tpr_filename, ndx_filename, group1, group2, g1="vector", g2="vector", seltype="res_com", selrpos="res_com", filename="angle.xvg", mode="average"): - try: - if g1=="vector" and g2=="vector": - subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group1, "-group2", group2, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) - if mode=="average": - angle = 0 - frame = 0 - with open(filename, "r") as f: - for line in f: - if (not line[0]=="#") and (not line[0]=="@"): - angle+=float(line.split()[1]) - frame+=1 - subprocess.run(["rm", filename]) - return (angle/frame) - elif mode=="framewise" or mode=="window": +def gangle(trr_filename, tpr_filename, ndx_filename, pdb_filename, mda_universe, group1=None, group2=None, selection=None, grouping=None, c_atom_name="C4B", angles = False, g1="vector", g2="z", seltype="res_com", selrpos="res_com", mode="average", split = False): + random_string = ''.join(secrets.choice(string.ascii_uppercase + string.digits) for _ in range(10)) + if angles == False: + if group1 == None or group2 == None: + raise ValueError('Enter valid lipid groups') + if split == False: + avg_angles = {} + membrane = {} + for i in mda_universe.atoms: + if i.resname == group1 or i.resname == group2: + if i.type == "P" or i.name == c_atom_name: + if i.resname not in membrane: + membrane[i.resname] = [i.id] + else: + membrane[i.resname].append(i.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + f.write(f"[ {i} ]\n") + group_str = " ".join([str(i) for i in membrane[i]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + for group in [group1, group2]: + filename=f"angle_{group}_{random_string}.xvg" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + if mode=="average": + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = mean(angle) + elif mode=="framewise" or mode=="window": + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = angle + subprocess.run(["rm", ndx_filename]) + return avg_angles + else: + membrane = {'Lower':{}, 'Upper':{}} + lower_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z < {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + upper_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z > {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + for atom in mda_universe.atoms: + if atom.resname == group1 or atom.resname == group2: + if atom.resid in lower_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Lower"]: + membrane["Lower"][atom.resname] = [atom.id] + else: + membrane["Lower"][atom.resname].append(atom.id) + elif atom.resid in upper_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Upper"]: + membrane["Upper"][atom.resname] = [atom.id] + else: + membrane["Upper"][atom.resname].append(atom.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + for resgroup in membrane[i]: + f.write(f"[ {i}_{resgroup} ]\n") + group_str = " ".join([str(i) for i in membrane[i][resgroup]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + for group in [group1, group2]: + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + for group in [group1, group2]: + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + angle = {'Upper':{}, 'Lower':{}} + for group in [group1, group2]: + if mode=="average": + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + angle[list(angle.keys())[n]][group]=mean(angle[list(angle.keys())[n]][group]) + elif mode=="framewise" or mode=="window": + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + subprocess.run(["rm", ndx_filename]) + return angle + else: + if split == False: + avg_angles = {} + membrane = {} + for i in mda_universe.atoms: + if i.resname in selection: + if i.type == "P" or i.name == c_atom_name: + if i.resname not in membrane: + membrane[i.resname] = [i.id] + else: + membrane[i.resname].append(i.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + if grouping == "combine": + f.write(f"[ Combined ]\n") + for i in membrane: + if grouping != "combine": + f.write(f"[ {i} ]\n") + group_str = " ".join([str(i) for i in membrane[i]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + if grouping != "combine": + for group in selection: + filename=f"angle_{group}_{random_string}.xvg" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + angle = [] + with open(filename, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle.append(float(line.split()[1])) + subprocess.run(["rm", filename]) + avg_angles[group] = angle + else: + filename=f"angle_combined_{random_string}.xvg" + group = "Combined" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-g1", g1, "-g2", g2, "-group1", group, "-seltype", seltype, "-selrpos", selrpos, "-oav", filename], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) angle = [] with open(filename, "r") as f: for line in f: if (not line[0]=="#") and (not line[0]=="@"): angle.append(float(line.split()[1])) subprocess.run(["rm", filename]) - return angle - except: - print(traceback.format_exc()) - sys.exit(0) - -def clustering_plots(pdb_file, top_bottom, Box_side_length, protein_residue_names, attached_ligands, Lipids_to_cluster, plot_name="Cluster"): + avg_angles[group] = angle + subprocess.run(["rm", ndx_filename]) + return avg_angles + else: + membrane = {'Lower':{}, 'Upper':{}} + lower_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z < {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + upper_membrane = [atom.resid for atom in mda_universe.select_atoms(f"prop z > {mda_universe.select_atoms('type P').center_of_mass()[2]} and type P")] + for atom in mda_universe.atoms: + if atom.resname in selection: + if atom.resid in lower_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Lower"]: + membrane["Lower"][atom.resname] = [atom.id] + else: + membrane["Lower"][atom.resname].append(atom.id) + elif atom.resid in upper_membrane: + if atom.type == "P" or atom.name == c_atom_name: + if atom.resname not in membrane["Upper"]: + membrane["Upper"][atom.resname] = [atom.id] + else: + membrane["Upper"][atom.resname].append(atom.id) + ndx_filename = f'custom_membrane_{random_string}.ndx' + with open(ndx_filename, 'w') as f: + for i in membrane: + if grouping == "combine": + f.write(f"[ {i}_Combined ]\n") + for resgroup in membrane[i]: + if grouping != "combine": + f.write(f"[ {i}_{resgroup} ]\n") + group_str = " ".join([str(i) for i in membrane[i][resgroup]]) + f.write("\n".join(textwrap.wrap(group_str, 15))) + f.write("\n") + if grouping != "combine": + for group in selection: + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + for group in selection: + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + else: + group = "Combined" + filename_lower = f"angle_lower_{group}_{random_string}.xvg" + temp_group = f"Lower_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_lower], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + + filename_upper = f"angle_upper_{group}_{random_string}.xvg" + temp_group = f"Upper_{group}" + subprocess.run(["gmx", "gangle", "-f", trr_filename, "-s", tpr_filename, "-n", ndx_filename, "-group1", temp_group, "-seltype", "whole_res_com", "-oav", filename_upper], stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) + + angle = {'Upper':{}, 'Lower':{}} + if grouping != "combine": + for group in selection: + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + else: + group = "Combined" + for n, i in enumerate([f"angle_upper_{group}_{random_string}.xvg", f"angle_lower_{group}_{random_string}.xvg"]): + angle[list(angle.keys())[n]][group] = [] + with open(i, "r") as f: + for line in f: + if (not line[0]=="#") and (not line[0]=="@"): + angle[list(angle.keys())[n]][group].append(float(line.split()[1])) + subprocess.run(["rm", i]) + subprocess.run(["rm", ndx_filename]) + return angle + +def clustering_plots(pdb_file, top_bottom, protein_residue_names, lipids_to_cluster, attached_ligands, mode="pair", plot_name="Cluster", box_side_length = 6): class PDB_Atom(): def __init__(self, pdbline): self.Atom_serial_number = str(pdbline[7:12]) @@ -1670,37 +2046,32 @@ def __init__(self,x,y,z): self.z = z try: # open the PDB_file and read all the data - f = open(pdb_file, 'r') - - pdb_data = f.readlines() - - f.close() - - # Parse the PDB data to get all the atomic information in the file - - All_Atoms_list = [] - for line in pdb_data: - line = " "+line - if(line[1:5]=="ATOM" or line[1:5]=="HETA"): - a = PDB_Atom(line) - All_Atoms_list.append(a) - + with open(pdb_file, 'r') as f: + all_atoms_list = [] + while True: + line = f.readline() + if line[:6] == "ENDMDL": + break + # Parse the PDB data to get all the atomic information in the file + line = " "+line + if(line[1:5]=="ATOM" or line[1:5]=="HETA"): + a = PDB_Atom(line) + all_atoms_list.append(a) + f.close() # Now divide the atoms into lipid and protein atoms - Protein_atoms_list = [] - Lipid_atoms_list = [] - #print(All_Atoms_list) - for atom in All_Atoms_list: + protein_atoms_list = [] + lipid_atoms_list = [] + ALL_LIPIDS = [] + for atom in all_atoms_list: + ALL_LIPIDS.append(atom) if(atom.Res_name in protein_residue_names): - Protein_atoms_list.append(atom) + protein_atoms_list.append(atom) elif(atom.Res_name not in attached_ligands): - Lipid_atoms_list.append(atom) - + lipid_atoms_list.append(atom) min_z = 10000 max_z = -10000 - mean_z = 0 - - for atom in Lipid_atoms_list: + for atom in lipid_atoms_list: mean_z += atom.zcoord if(atom.zcoord > max_z): max_z = atom.zcoord @@ -1710,63 +2081,47 @@ def __init__(self,x,y,z): protein_coordinates_list = [] lipid_coordinates_list = [] - prev_prot_resnum = Protein_atoms_list[0].Res_number + prev_prot_resnum = protein_atoms_list[0].Res_number x, y, z = 0, 0, 0 count = 0 - for atom in Protein_atoms_list: + for atom in protein_atoms_list: if(atom.Res_number == prev_prot_resnum): x += atom.xcoord y += atom.ycoord z += atom.zcoord count += 1 - else: protein_coordinates_list.append( Coordinate(x/count, y/count, z/count) ) x, y, z = atom.xcoord, atom.ycoord, atom.zcoord prev_prot_resnum = atom.Res_number count = 1 - protein_coordinates_list.append(Coordinate(x/count, y/count, z/count)) - x, y, z = 0, 0, 0 count = 0 - - prev_lipid_resnum = Lipid_atoms_list[0].Res_number - temp_list = [] - for atom in Lipid_atoms_list: - if(atom.Res_name in Lipids_to_cluster): + for atom in lipid_atoms_list: + if(atom.Res_name in lipids_to_cluster): temp_list.append(atom) - ALL_LIPIDS = Lipid_atoms_list - - Lipid_atoms_list = temp_list - - prev_lipid_resnum = Lipid_atoms_list[0].Res_number + lipid_atoms_list = temp_list - for atom in Lipid_atoms_list: + prev_lipid_resnum = lipid_atoms_list[0].Res_number + for atom in lipid_atoms_list: if (atom.Res_number == prev_lipid_resnum): x += atom.xcoord y += atom.ycoord z += atom.zcoord count += 1 - else: lipid_coordinates_list.append( Coordinate(x/count, y/count, z/count) ) x, y, z = atom.xcoord, atom.ycoord, atom.zcoord prev_lipid_resnum = atom.Res_number count = 1 - lipid_coordinates_list.append(Coordinate(x/count, y/count, z/count)) - - - min_memb_x = min(Lipid_atoms_list, key=lambda x: x.xcoord).xcoord - min_memb_y = min(Lipid_atoms_list, key= lambda x: x.ycoord).ycoord - - + min_memb_x = min(lipid_atoms_list, key=lambda x: x.xcoord).xcoord + min_memb_y = min(lipid_atoms_list, key= lambda x: x.ycoord).ycoord mean_z = 0 - for coord in lipid_coordinates_list: mean_z += coord.z @@ -1778,7 +2133,6 @@ def __init__(self,x,y,z): z_min_lip = min(lipid_coordinates_list, key=lambda x: x.z).z z_max_lip = max(lipid_coordinates_list, key=lambda x: x.z).z - new_lip_coords = [] new_prot_coords = [] @@ -1792,7 +2146,6 @@ def __init__(self,x,y,z): else: new_lip_coords.append(coord) - lipid_coordinates_list = new_lip_coords for coord in protein_coordinates_list: @@ -1805,20 +2158,12 @@ def __init__(self,x,y,z): else: if(coord.z >= z_min_lip and coord.z <= z_max_lip): new_prot_coords.append(coord) - protein_coordinates_list = new_prot_coords - - all_coords_list = [] - for coord in lipid_coordinates_list: all_coords_list.append(coord) - for coord in protein_coordinates_list: all_coords_list.append(coord) - - - min_x = min(ALL_LIPIDS, key= lambda x: x.xcoord).xcoord min_y = min(ALL_LIPIDS, key= lambda x: x.ycoord).ycoord min_z = min(all_coords_list, key= lambda x: x.z).z @@ -1827,34 +2172,20 @@ def __init__(self,x,y,z): max_y = max(ALL_LIPIDS, key= lambda x: x.ycoord).ycoord max_z = max(all_coords_list, key= lambda x: x.z).z - num_partX = math.floor((max_x - min_x)/Box_side_length) - num_partY = math.floor((max_y - min_y)/Box_side_length) - - lipid_cluster_grid = [] - protein_cluster_grid = [] - - for i in range(num_partX-1): - temp = [] - for j in range(num_partY): - temp.append(0) - lipid_cluster_grid.append(np.array(temp)) - protein_cluster_grid.append(np.array(temp)) - lipid_cluster_grid = np.array(lipid_cluster_grid) - + num_partX = math.ceil((max_x - min_x)/box_side_length) + num_partY = math.ceil((max_y - min_y)/box_side_length) + protein_cluster_grid = np.zeros((num_partX, num_partY)) + lipid_cluster_grid = np.zeros((num_partX, num_partY)) for coord in lipid_coordinates_list: - x_ind = math.floor(coord.x / Box_side_length) - y_ind = math.floor(coord.y / Box_side_length) - try: - lipid_cluster_grid[x_ind][y_ind] += 1 - except: - continue + x_ind = math.floor(coord.x / box_side_length) + y_ind = math.floor(coord.y / box_side_length) + lipid_cluster_grid[x_ind][y_ind] += 1 for coord in protein_coordinates_list: - x_ind = math.floor(coord.x / Box_side_length) - y_ind = math.floor(coord.y / Box_side_length) + x_ind = math.floor(coord.x / box_side_length) + y_ind = math.floor(coord.y / box_side_length) protein_cluster_grid[x_ind][y_ind] += 10 - protein_grid_x = [] protein_grid_y = [] @@ -1872,7 +2203,6 @@ def __init__(self,x,y,z): lipid_cluster_grid = np.array(lipid_cluster_grid) protein_cluster_grid = np.array(protein_cluster_grid) - cols = { 1: 'white', 2: 'green', @@ -1894,16 +2224,20 @@ def __init__(self,x,y,z): p = plt.imshow(lipid_cluster_grid, cmap='YlOrRd' ) plt.clim(0, 3) cbar = plt.colorbar(p, ticks=[0,1,2,3,4]) - ax.scatter(protein_grid_y, protein_grid_x, marker="s", s=5) - - ax.xaxis.tick_top() - - plt.savefig(plot_name+"_"+Lipids_to_cluster+"_"+attached_ligands+".png", format="png") + #fig.supxlabel(f"X Bins (nm$^{-1}$)", verticalalignment = 'top') + plt.xlabel(f"X Bin (nm$^{-1}$)") + fig.supylabel(f"Y Bin (nm$^{-1}$)",) + ax.tick_params(labelbottom=False,labeltop=True) + #fig.tight_layout() + if mode == "pair": + plt.savefig(plot_name+"_"+lipids_to_cluster+"_"+attached_ligands[0]+".svg", format="svg", dpi = 1000) + else: + plt.savefig(plot_name+"_"+lipids_to_cluster+".svg", format="svg", dpi = 1000) plt.close() except: - print(traceback.format_exc()) + logger.error(traceback.format_exc(), " at line", format(sys.exc_info()[-1].tb_lineno)) sys.exit(0) def create_graph_1(atom_dict, specific_frame = False, moving_window = False, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_FRACTION = 0.01): @@ -1912,7 +2246,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra Returns : None Outputs : - Save a .png file of the graph created with the specified name + Save a .svg file of the graph created with the specified name ''' if specific_frame: frame = specific_frame @@ -1925,7 +2259,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup] plt.plot(distances, forces) plt.title(str(allKeys[i])+"_"+str(frame)) - plt.savefig(f"plots/{allKeys[i]}_{frame}.png") + plt.savefig(f"plots/{allKeys[i]}_{frame}.svg", dpi = 1000) plt.close() elif moving_window: num_frames = len(atom_dict) @@ -1944,7 +2278,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup[0]] plt.plot(distances, forces_averaged) plt.title(f'{allKeys[i]}_{frame}_to_{frame+moving_window}') - plt.savefig(f"plots/{allKeys[i]}_{frame}_to_{frame+moving_window}.png") + plt.savefig(f"plots/{allKeys[i]}_{frame}_to_{frame+moving_window}.svg", dpi = 1000) plt.close() else: num_frames = len(atom_dict) @@ -1967,7 +2301,7 @@ def create_graph_1(atom_dict, specific_frame = False, moving_window = False, gra distances = [atom.Coords.z for atom in forced_atomGroup[0]] axs[i].plot(distances, forces_averaged) axs[i].title.set_text(str(allKeys[i])) - fig.savefig(f"plots/Average_{allKeys}.png") + fig.savefig(f"plots/Average_{allKeys}.svg", dpi = 1000) fig.show() plt.close() @@ -1978,7 +2312,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ Returns : None Outputs : - Save a .png file of the graph created with the specified name + Save a .svg file of the graph created with the specified name ''' all_atoms_membrane_non_zero_force = [] for key in atom_dict: @@ -2017,7 +2351,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ ax = fig.add_subplot(111, projection='3d') ax.plot_surface(x, y, z) plt.title('z as 3d height map') - plt.savefig("test_2.png") + plt.savefig("test_2.svg") plt.show() # show hight map in 2d @@ -2025,7 +2359,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ plt.title('z as 2d heat map') p = plt.imshow(z) plt.colorbar(p) - plt.savefig("test_3.png") + plt.savefig("test_3.svg") plt.show() if __name__ == '__main__': @@ -2052,15 +2386,18 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ optional.add_argument('-curve', help='Calculate Curvature', dest='curve', action='store_true') optional.add_argument('-diffu', help='Calculate Diffusion', dest='diffu', action='store_true') optional.add_argument('-cluster', help='Generate Lipid Cluster Plots', dest='cluster', action='store_true') + optional.add_argument('-angle', help='Calculate angle of selected lipids with the z-axis', nargs="+", dest='angle') + optional.add_argument('-c_atom', help='Name of the atom to which the lipid vector is to be defined', dest='c_atom') optional.add_argument('-split', help='Split Calculations into Upper and Lower Membranes', dest='split', action='store_true') + optional.add_argument('-combine', help='Combine lipids specifed for angle calculation', dest='combine', action='store_true') optional.add_argument('-bfac', metavar='bFactor', help='Calculate B-factor. "atomwise" or "groupwise".', default=False, choices=[False, "atomwise", "groupwise"]) optional.add_argument('-xbins', metavar='Num_xBins', help='Number of bins in x-direction', type=int) optional.add_argument('-ybins', metavar='Num_yBins', help='Number of bins in y-direction', type=int) parser._action_groups.append(optional) args = parser.parse_args() if not args.avg and not args.f and not args.window: - print("Please specify atleast one method to calculate forces for") - sys.exit(1) + print("Please specify atleast one method to calculate forces for (--avg, --f or --window)") + #sys.exit(1) else: experiment = LFDA(experiment_name=args.exp,trr_filename=args.trr,tpr_filename=args.tpr,ndx_filename=args.ndx,pdb_filename=args.pdb,gro_filename=args.gro,gfda_version=args.v) if not args.pfa and not args.avg_pfa and not args.f_pfa: @@ -2076,7 +2413,7 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ experiment.parse_parsed_pfa(file_name=args.avg_pfa, mode="average", group1=args.gr1, group2=args.gr2, residue_list=[args.gr1,args.gr2]) else: print("PFA file needs to be parsed or average parsed PFA file needs to be input to calculate for average of properties") - sys.exit(1) + #sys.exit(1) experiment.force_graph() experiment.curvature(num_x_bins=args.xbins,num_y_bins=args.ybins,split=args.split) if args.f or args.window: @@ -2088,17 +2425,25 @@ def create_graph_2(atom_dict, graph_filename = "", MEMBRANE_PARTITION_THRESHOLD_ experiment.parse_parsed_pfa(file_name=args.f_pfa, mode="framewise", group1=args.gr1, group2=args.gr2, residue_list=[args.gr1,args.gr2]) else: print("PFA file needs to be parsed or framewise parsed PFA file needs to be input to calculate for framewise or moving window of properties") - sys.exit(1) + #sys.exit(1) if args.f: experiment.force_graph(specific_frame=args.f) experiment.curvature(specific_frame=args.f, num_x_bins=args.xbins, num_y_bins=args.ybins, split=args.split) if args.window: experiment.force_graph(window=args.window) experiment.curvature(window=args.window, num_x_bins=args.xbins, num_y_bins=args.ybins, split=args.split) - if args.diffu: - experiment.msd() - if args.bfac: - experiment.bfactor_pdb(mode=args.bfac) - if args.cluster: - experiment.cluster() - \ No newline at end of file + if args.diffu: + experiment.msd() + if args.bfac: + experiment.bfactor_pdb(mode=args.bfac) + if args.cluster: + experiment.cluster() + if args.angle: + if not args.c_atom: + print("Please input the atom X to which the vector P->X needs to be defined using the --c_atom argument.") + if args.combine: + args.combine='combine' + else: + args.combine='individual' + experiment.angles(selection=args.angle, grouping = args.combine, c_atom_name = args.c_atom) + #sys.exit(1) \ No newline at end of file