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955 lines
253 KiB
955 lines
253 KiB
{ |
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"cells": [ |
|
{ |
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"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
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"name": "#%% md\n" |
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} |
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}, |
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"source": [ |
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"# Decoding population activity" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
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"name": "#%% md\n" |
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} |
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}, |
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"source": [ |
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"**Imports**" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 1, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
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"name": "#%%\n" |
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} |
|
}, |
|
"outputs": [], |
|
"source": [ |
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"%matplotlib inline\n", |
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"from sym_model import Population, sigmoid\n", |
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"\n", |
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"import sys\n", |
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"import seaborn as sns\n", |
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"import umap\n", |
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"import numpy as np\n", |
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"import pandas as pd\n", |
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"from matplotlib import pyplot as plt\n", |
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"sys.path.insert(0, './model')\n", |
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"\n", |
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"from model import decoding\n", |
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"from model import persistence\n", |
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"from utils import get_orientation_phase_grid" |
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] |
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}, |
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{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
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"name": "#%% md\n" |
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} |
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}, |
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"source": [ |
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"## Getting the data\n", |
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"\n", |
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"**Sampling the activity using the model**" |
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] |
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}, |
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{ |
|
"cell_type": "code", |
|
"execution_count": 2, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"limit = 500\n", |
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"# n_theta, n_phi = 18, 24\n", |
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"n_theta, n_phi = 36, 72\n", |
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"# n_theta, n_phi = 9, 12\n", |
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"step_phi, step_theta = 360 // n_phi, 180 // n_theta\n", |
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"N = 40 # number of cells" |
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] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 3, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"name": "stdout", |
|
"output_type": "stream", |
|
"text": [ |
|
"[0. 0.] [3.05432619 6.19591884] (2592, 2)\n" |
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] |
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} |
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], |
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"source": [ |
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"grid = get_orientation_phase_grid(step_phi, step_theta)\n", |
|
"grid = grid.reshape((-1, 2))\n", |
|
"print(grid[0], grid[-1], grid.shape)" |
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] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 4, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"population = Population.random(N)" |
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] |
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}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 5, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"phi_deg, theta_deg = grid[:, 1] * 180 / np.pi, grid[:, 0] * 180 / np.pi" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 6, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"# res = population.sample_responses(limit, custom_grid=grid, use_sigmoid=False)\n", |
|
"# res, phi_deg, theta_deg = res[:, :, 0], res[:, 0, 1], res[:, 0, 2]" |
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] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 7, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"res = np.abs(population.response_func(grid[:, 1], grid[:, 0]).swapaxes(0, 1)) * 10" |
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] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 8, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"phi_reorder = sorted(list(range(len(phi_deg[:limit]))), key=lambda x: phi_deg[x])\n", |
|
"theta_reorder = sorted(list(range(len(theta_deg[:limit]))), key=lambda x: theta_deg[x])" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 9, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": "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", |
|
"text/latex": [ |
|
"$\\displaystyle \\left( 2592, \\ 40\\right)$" |
|
], |
|
"text/plain": [ |
|
"(2592, 40)" |
|
] |
|
}, |
|
"execution_count": 9, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
} |
|
], |
|
"source": [ |
|
"res.shape" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 10, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"res_reshaped = res.reshape((n_phi, n_theta, -1))" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 11, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"name": "stderr", |
|
"output_type": "stream", |
|
"text": [ |
|
"/usr/lib/python3.10/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", |
|
" warnings.warn(msg, FutureWarning)\n" |
|
] |
|
}, |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<AxesSubplot:ylabel='Density'>" |
|
] |
|
}, |
|
"execution_count": 11, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"sns.distplot(res.ravel())" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%% md\n" |
|
} |
|
}, |
|
"source": [ |
|
"## Plotting joint tunings" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 12, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"phase_linspace = np.linspace(0, 360, n_phi)\n", |
|
"orientation_linspace = np.linspace(0, 180, n_theta)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 13, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 6 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"fig, ax = plt.subplots(3, 2)\n", |
|
"ax = ax.flatten()\n", |
|
"# set title\n", |
|
"fig.suptitle('Marginal Tunings - By Phase')\n", |
|
"for i in range(6):\n", |
|
" ax[i].plot(phase_linspace, res_reshaped.mean(1)[:, i])" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 14, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 6 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"fig, ax = plt.subplots(3, 2)\n", |
|
"ax = ax.flatten()\n", |
|
"# set title\n", |
|
"fig.suptitle('Marginal Tunings - By Orientation')\n", |
|
"for i in range(6):\n", |
|
" ax[i].plot(orientation_linspace, res_reshaped.mean(0)[:, i])" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 15, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"data": { |
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"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 9 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"fig, ax = plt.subplots(3, 3)\n", |
|
"ax = ax.flatten()\n", |
|
"# set title\n", |
|
"fig.suptitle('Joint Tunings')\n", |
|
"for i in range(9):\n", |
|
" ax[i].imshow(res_reshaped[:, :, i], cmap='viridis', extent=[0, 180, 0, 360])" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 16, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<matplotlib.image.AxesImage at 0x7fefe9397f40>" |
|
] |
|
}, |
|
"execution_count": 16, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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kI7kFwLcB3GdmlzZ6e9bDMIMzC2Cve7wHwKkhrn8oSFbRCc2DZnb1oPDYnYIyzOAcA3AryTdmJ4Xdjc6pGWODJNG5k+AJM/uc+9LYnYIy7KPj7wXweQBlAA+Y2X8MbeVDQPJdAH4G4CkA7Wz6M+i8z3kIwF8gu9OOmZ3fkI1cI/rkWEL0ybGEKDgSouBIiIIjIQqOhCg4EqLgSIiCIyF/Am3T3AxM9WMMAAAAAElFTkSuQmCC", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"plt.imshow(res_reshaped[:, :, 0], cmap='viridis')" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%% md\n" |
|
} |
|
}, |
|
"source": [ |
|
"## PCA" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 20, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"res_df = pd.DataFrame(res, columns=['x' + str(i) for i in range(N)])" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 21, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"from sklearn.decomposition import PCA\n", |
|
"import seaborn as sns" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 22, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<AxesSubplot:>" |
|
] |
|
}, |
|
"execution_count": 22, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 2 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"sns.heatmap(res_df.corr())" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%% md\n" |
|
} |
|
}, |
|
"source": [ |
|
"Let's take 6 components" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 23, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/html": [ |
|
"<div>\n", |
|
"<style scoped>\n", |
|
" .dataframe tbody tr th:only-of-type {\n", |
|
" vertical-align: middle;\n", |
|
" }\n", |
|
"\n", |
|
" .dataframe tbody tr th {\n", |
|
" vertical-align: top;\n", |
|
" }\n", |
|
"\n", |
|
" .dataframe thead th {\n", |
|
" text-align: right;\n", |
|
" }\n", |
|
"</style>\n", |
|
"<table border=\"1\" class=\"dataframe\">\n", |
|
" <thead>\n", |
|
" <tr style=\"text-align: right;\">\n", |
|
" <th></th>\n", |
|
" <th>PC1</th>\n", |
|
" <th>PC2</th>\n", |
|
" <th>PC3</th>\n", |
|
" <th>PC4</th>\n", |
|
" </tr>\n", |
|
" </thead>\n", |
|
" <tbody>\n", |
|
" <tr>\n", |
|
" <th>0</th>\n", |
|
" <td>1.152136</td>\n", |
|
" <td>6.882894</td>\n", |
|
" <td>-1.545937</td>\n", |
|
" <td>-0.027478</td>\n", |
|
" </tr>\n", |
|
" <tr>\n", |
|
" <th>1</th>\n", |
|
" <td>1.081195</td>\n", |
|
" <td>6.691970</td>\n", |
|
" <td>-1.446043</td>\n", |
|
" <td>-0.080447</td>\n", |
|
" </tr>\n", |
|
" <tr>\n", |
|
" <th>2</th>\n", |
|
" <td>0.996579</td>\n", |
|
" <td>6.447147</td>\n", |
|
" <td>-1.338007</td>\n", |
|
" <td>-0.133982</td>\n", |
|
" </tr>\n", |
|
" <tr>\n", |
|
" <th>3</th>\n", |
|
" <td>0.937118</td>\n", |
|
" <td>6.268196</td>\n", |
|
" <td>-1.259540</td>\n", |
|
" <td>-0.170500</td>\n", |
|
" </tr>\n", |
|
" <tr>\n", |
|
" <th>4</th>\n", |
|
" <td>0.938863</td>\n", |
|
" <td>6.362411</td>\n", |
|
" <td>-1.261050</td>\n", |
|
" <td>-0.188440</td>\n", |
|
" </tr>\n", |
|
" </tbody>\n", |
|
"</table>\n", |
|
"</div>" |
|
], |
|
"text/plain": [ |
|
" PC1 PC2 PC3 PC4\n", |
|
"0 1.152136 6.882894 -1.545937 -0.027478\n", |
|
"1 1.081195 6.691970 -1.446043 -0.080447\n", |
|
"2 0.996579 6.447147 -1.338007 -0.133982\n", |
|
"3 0.937118 6.268196 -1.259540 -0.170500\n", |
|
"4 0.938863 6.362411 -1.261050 -0.188440" |
|
] |
|
}, |
|
"execution_count": 23, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
} |
|
], |
|
"source": [ |
|
"N_COMP = 4\n", |
|
"pca = PCA(n_components=N_COMP)\n", |
|
"pca.fit(res_df)\n", |
|
"data_pca = pca.transform(res_df)\n", |
|
"data_pca = pd.DataFrame(data_pca, columns=[f'PC{i+1}' for i in range(N_COMP)])\n", |
|
"data_pca.head()" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 24, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": "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", |
|
"text/latex": [ |
|
"$\\displaystyle \\left( 2592, \\ 4\\right)$" |
|
], |
|
"text/plain": [ |
|
"(2592, 4)" |
|
] |
|
}, |
|
"execution_count": 24, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
} |
|
], |
|
"source": [ |
|
"data_pca.shape" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%% md\n" |
|
} |
|
}, |
|
"source": [ |
|
"## UMAP decoding" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 25, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"# reducer = umap.UMAP()\n", |
|
"# embedding = reducer.fit_transform(data_pca.to_numpy())" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 26, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"# %matplotlib notebook\n", |
|
"# plt.scatter(\n", |
|
"# embedding[:, 0],\n", |
|
"# embedding[:, 1])\n", |
|
"# plt.show()" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 27, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"# embedding.shape" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%% md\n" |
|
} |
|
}, |
|
"source": [ |
|
"## Cohomological decoding" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 37, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"step = 5" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 38, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 640x480 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": {}, |
|
"output_type": "display_data" |
|
}, |
|
{ |
|
"name": "stdout", |
|
"output_type": "stream", |
|
"text": [ |
|
"Decoding... done\n" |
|
] |
|
} |
|
], |
|
"source": [ |
|
"param_1 = decoding.cohomological_parameterization(data_pca[::step]).to_numpy()" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 43, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<matplotlib.collections.PathCollection at 0x7fefd8cc6fe0>" |
|
] |
|
}, |
|
"execution_count": 43, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"%matplotlib inline\n", |
|
"plt.title(\"Parameter 1 of CP vs. phase\")\n", |
|
"plt.scatter(phi_deg[::step], param_1)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "markdown", |
|
"metadata": {}, |
|
"source": [ |
|
"#### Orientation is decoded:" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 42, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<matplotlib.collections.PathCollection at 0x7fefd8cc6230>" |
|
] |
|
}, |
|
"execution_count": 42, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"plt.title(\"Parameter 1 of CP vs. orientation\")\n", |
|
"plt.scatter(theta_deg[::step], param_1)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 44, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [], |
|
"source": [ |
|
"data_without_features = decoding.remove_feature(data_pca[::step].to_numpy(), pd.DataFrame(param_1))" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 45, |
|
"metadata": { |
|
"collapsed": false, |
|
"pycharm": { |
|
"is_executing": true, |
|
"name": "#%%\n" |
|
} |
|
}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
}, |
|
{ |
|
"name": "stdout", |
|
"output_type": "stream", |
|
"text": [ |
|
"Decoding... done\n" |
|
] |
|
} |
|
], |
|
"source": [ |
|
"param_2 = decoding.cohomological_parameterization(\n", |
|
" pd.DataFrame(data_without_features)).to_numpy()" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 48, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<matplotlib.collections.PathCollection at 0x7fefd8be2d40>" |
|
] |
|
}, |
|
"execution_count": 48, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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zmDx5Ml544QUEBwdbTHClMnVPGvv/AwDvvvuu2WtYWlI/duxYZGZmIi8vDwkJCdrjGzZsgEwmwy233GL9kyC3xGSEHG7SpEl49dVXMWPGDDzwwAOoqKjA//zP/1j1IZqSkgK5XI67774bf/vb39DQ0IA1a9bg8uXLNm/v66+/jptuugnJyclYsGABoqOjUVtbi5MnT2LHjh3acfC+ffvC398fH374IWJjY9G5c2dERkYiMjIS7777LiZMmIBx48Zhzpw56NGjByorK3H8+HHk5eXhP//5T7va9t1332HatGkIDw/HU089ZdAzFBcXZ7YoVXp6Oj7//HPccsstePbZZxEUFIQPP/wQO3fuxMsvv9yuFQ3e3t749NNPkZqaiqSkJCxYsAC33HILOnXqhLNnz+Ljjz/Gjh07bPpezZ07F1u2bMGiRYvQs2dP/PGPf9T7+ZQpU7R1TLp3746zZ8/itddeQ1RUFK677joAwJ49ezB27Fg8++yzZovFpaSkYNy4cXjyySdRU1ODG2+8Ubua5oYbbjC61FiKxYsX45NPPsHo0aOxZMkSDBo0CGq1GsXFxdi9ezcee+wxjBgxwqprDhw4EEDrPXzPPffA19cX/fv3x6hRo9CtWzfMnz8f6enp8PX1xYcffoijR4+avMZLL72ECRMmwNvb22RivmTJEmzYsAGTJk3CypUrERUVhZ07d2L16tVYsGCBpLkz5CEcPIGW3JxmZUTbFQFtrV+/XvTv31/4+fmJPn36iMzMTLFu3TqDmf9RUVFi0qRJRq+xY8cOMXjwYKFQKESPHj3EE088Ib744gsBQHzzzTfauDFjxojrr7/e4HxT14aRVSNFRUVi7ty5okePHsLX11d0795djBo1Sjz33HN6cZs3bxYDBgwQvr6+AoBIT0/X/uzo0aPiL3/5iwgNDRW+vr4iPDxc3HrrreKdd97Rxkh9/TTS09MFAJNfuq+DKceOHRNTpkwRSqVSyOVyMXjwYKMrgoy9LuZUVVWJVatWiYSEBNG5c2fh6+srevfuLWbOnCn++9//auOsfc7GqFQq0atXLwFALF++3ODnr7zyihg1apQICQkRcrlc9O7dW9x3333izJkz2phvvvnG4D0zpb6+Xjz55JMiKipK+Pr6ioiICLFgwQJx+fJlvThz92/blShCCHHlyhXx9NNPi/79+wu5XC6USqUYOHCgWLJkid6qIlPvhbFrpqWlicjISOHl5aV3T+zfv18kJSWJgIAA0b17d3H//feLvLw8gxVhjY2N4v777xfdu3cXMplM7/+oscc7e/asmDFjhggODha+vr6if//+4u9//7t2xZgQv6+m+fvf/27wHKS+B+TaZEK0qSpFRERE1IG4tJeIiIgciskIERERORSTESIiInIoq5ORvXv3YsqUKYiMjIRMJjNZC0LXnj17kJiYCIVCgT59+uCdd95pT1uJiIjIDVmdjFy9ehWDBw/GW2+9JSm+qKgIEydORHJyMvLz8/HUU0/hkUcewSeffGJ1Y4mIiMj9XNNqGplMhk8//dTsbpxPPvkktm/frre3wfz583H06NEO3eeCiIiInJPdi57l5uYiNTVV79i4ceOwbt06NDc3G913obGxEY2Njdrv1Wo1KisrERwcbHVZbCIiInIMIQRqa2sRGRkJLy/TgzF2T0ZKS0sNdtkMCwtDS0sLysvLjW4alZmZiYyMDHs3jYiIiDrAuXPn0LNnT5M/75By8G17MzQjQ6Z6OdLS0rB06VLt99XV1ejduzfOnTtntpQ1EREROY+amhr06tULXbp0MRtn92QkPDwcpaWlesfKysrg4+NjdMtroHUjJmP7kgQGBjIZISIicjGWpljYvc5IUlIScnJy9I7t3r0bQ4cONTpfhIiIiDyL1cnIlStXcOTIEe1uoEVFRThy5AiKi4sBtA6xzJ49Wxs/f/58nD17FkuXLsXx48exfv16rFu3Do8//rhtngERERG5NKuHab7//nvccsst2u81czvuuecefPDBBygpKdEmJgAQExODrKwsLFmyBG+//TYiIyPxxhtv4M4777RB84mIiMjVucSuvTU1NVAqlaiuruacESIiIhch9fObe9MQERGRQzEZISIiIodiMkJEREQOxWSEiIiIHKpDKrB6MpVa4GBRJcpqGxDaRYHhMUHw9uL+OkRERBpMRuwou6AEGTsKUVLdoD0WoVQgfUocxscb7slDRETkiThMYyfZBSVYsClPLxEBgNLqBizYlIfsghIHtYyIiMi5MBmxA5VaIGNHIYwVcNEcy9hRCJXa6Uu8EBER2R2TETs4WFRp0COiSwAoqW7AwaLKjmsUERGRk2IyYgdltaYTkfbEERERuTMmI3YQ2kVh0zgiIiJ3xmTEDobHBCFCqYCpBbwytK6qGR4T1JHNIiIickpMRuzA20uG9ClxAGCQkGi+T58Sx3ojREREYDJiN+PjI7BmZgJCu/jpHQ8L9MOamQmsM0JERPQbJiN2lF98Gb9eadQ7VlbbiPziyw5qERERkfNhBVY7ycwqxLt7iwyOqwW0x9MmxnV0s4iIiJwOe0bsoKlFjbX7DBMRXWv3FaGpRd1BLSIiInJeTEbsYGPuGVgqrqoWrXFERESejsmIHZytrLNpHBERkTtjMmIHUUEBNo0jIiJyZ0xG7GBWUjQslRDxkrXGEREReTomI3Yg9/HCvOQYszHzkmMg9+HLT0RExKW9dqJZtrt2X5HeZFYvWWsiwmW9RERErWRCCAvrPhyvpqYGSqUS1dXVCAwMdHRzrNLUosbG3DM4W1mHqKAAzEqKZo8IERF5BKmf3+wZsTO5jxfuS+7j6GYQERE5Lf6JTkRERA7FZISIiIgciskIERERORSTESIiInIoJiNERETkUExGiIiIyKGYjBAREZFDMRkhIiIih2IyQkRERA7FZISIiIgciskIERERORSTESIiInIoJiNERETkUExGiIiIyKGYjBAREZFDMRkhIiIih/JxdAOIiIjo2qnUAgeLKlFW24DQLgoMjwmCt5fM0c2ShMkIERGRi8suKEHGjkKUVDdoj0UoFUifEofx8REObJk0HKYhIiJyYdkFJViwKU8vEQGA0uoGLNiUh+yCEge1TDomI0RERE5IpRbIPVWBz45cQO6pCqjUwmhMxo5CGP4E2mMZOwqNnutMOExDRETkZKQOuxwsqjToEdElAJRUN+BgUSWS+gbbs8nXhD0jREREdiall0PDmmGXslrTiYguqXGOwp4RIiIiO7JmcqmlYRcZWoddUuLC4e0lQ2gXhaQ2SI1zFPaMEBER2Ym1k0utGXYBgOExQYhQKmBqAa8MrYnP8Jiga3gW9sdkhIiIyA7aM7nU2mEXby8Z0qfEAYBBQqL5Pn1KnNPXG2EyQkREZAfW9nIA0odTdOPGx0dgzcwEhCv1zw1XKrBmZoJL1BnhnBEiIiI7aM/kUs2wS2l1g9EeFRlak4y2wy7j4yOQEhfOCqxERET0u/b0cmiGXRZsyoMM0EtILA27eHvJnHr5rjkcpiEiIrKD9k4udYdhF2uxZ4SIiMgOrqWXw9WHXawlE0I4d41YADU1NVAqlaiurkZgYKCjm0NERCSZq29idy2kfn6zZ4SIiMiOPK2Xoz2YjBAREdlZR0wuVamFyyY8TEaIiIhcnKsPBXE1DRERkQuztuS8M2pXMrJ69WrExMRAoVAgMTER+/btMxv/4YcfYvDgwQgICEBERATuvfdeVFRUtKvBRERE1Ko9JeedkdXJyJYtW7B48WIsX74c+fn5SE5OxoQJE1BcXGw0/rvvvsPs2bNx33334ccff8R//vMfHDp0CPfff/81N56IiMiTtafkvDOyOhl59dVXcd999+H+++9HbGwsXnvtNfTq1Qtr1qwxGn/gwAFER0fjkUceQUxMDG666SY8+OCD+P7776+58URERJ6sPSXnnZFVyUhTUxMOHz6M1NRUveOpqanYv3+/0XNGjRqF8+fPIysrC0IIXLp0CR9//DEmTZpk8nEaGxtRU1Oj90VERET62lNy3hlZlYyUl5dDpVIhLCxM73hYWBhKS0uNnjNq1Ch8+OGHmD59OuRyOcLDw9G1a1e8+eabJh8nMzMTSqVS+9WrVy9rmklERORUVGqB3FMV+OzIBeSeqrDZHI72lpx3Nu2awCqT6T9tIYTBMY3CwkI88sgjePbZZ3H48GFkZ2ejqKgI8+fPN3n9tLQ0VFdXa7/OnTvXnmYSERE5XHZBCW566WvcvfYAHv3oCO5eewA3vfS1TVa5aErOAzBISCyVnHcmViUjISEh8Pb2NugFKSsrM+gt0cjMzMSNN96IJ554AoMGDcK4ceOwevVqrF+/HiUlxt8IPz8/BAYG6n0RERG5mo5YdusOG+tZVfRMLpcjMTEROTk5uP3227XHc3JycNtttxk9p66uDj4++g/j7e0NoLVHhYiIyB1ZWnYrQ+uy25S4cKM9F9ZUVHX1kvNWV2BdunQpZs2ahaFDhyIpKQnvvfceiouLtcMuaWlpuHDhAjZs2AAAmDJlCubNm4c1a9Zg3LhxKCkpweLFizF8+HBERkba9tkQERE5CWuW3bYtFd+eiqodUXLeXqxORqZPn46KigqsXLkSJSUliI+PR1ZWFqKiogAAJSUlejVH5syZg9raWrz11lt47LHH0LVrV9x666146aWXbPcsiIiInEx7l91qhnba9qhohnZcZejFGjLhAmMlUrcgJiIicha5pypw99oDFuM2zxup7dFQqQVueulrkz0qMrTOBfnuyVtdYghG6uc396YhIiKyg/Ysu3WXiqrWYjJCRERkB+1ZdusuFVWtxWSEiIjITqxddusuFVWtZfUEViIiIpLOmmW3mqGd0uoGo0uCNXNGnL2iqrWYjDgha9aWExGR85O67FYztLNgUx5kgF5C4koVVa3FZMTJtGdtORERuQ/N0E7bz4JwN/4s4NJeJ2JqbTnQmhG749pyIiIyzh16yaV+frNnxEmYKxsMtHbVmSsbTERE7sWVK6pai6tpnISlteWAe64tJyIiYjLiJEqr620aR0RE5CqYjDiJ8itNNo0jIiJyFUxGnERVnbQkQ2ocERGRq+AEVichkzgnVWocERE5j/asjGlqUWNj7hmcraxDVFAAZiVFQ+7jnn0ITEacRFKfELz1zSlJcURE5DqyC0rw7LYClOkMs4d2lmPltHiT5Royswrx3t4ivRWWz+08jgdGxyBtYpydW9zx3DPFckEj+waja4Cv2ZiuAb4Y6SHLvIiI3EF2QQnmb8rTS0QAoOxKE+ZvykN2QYnBOZlZhXi3TSICtJZ4eHdvETKzCu3XYAdhMuIkvL1kePGOgWZjXrxjIGuMEBG5CJVaYNG/883GLPp3PlTq39OOphY13ttbZPac9/YWoalFbZM2OgsmI0RERFaob1LhmW3HMGvd/+GZbcdQ36QyGrf3pzK0qM0XOW9RC+z9qUz7/b/2G/aItCV+i3MnTEachKYCqykytFZgVVm4sYmIyH7mbTiE2GezsfFAMfb9Uo6NB4oR+2w25m04ZBD7ypc/S7qmbpzUwpbuVgCTyYiTsFSBVYAVWImIHGnehkPIKSwz+rOcwjKDhKTiivmq2sbirproZWlLapyr4GoaJ1FWK+2mlRpHRESWSV1yW9+kMpmIaOQUlqG+SQV/uTcAoLq+RVIbdONkEveulRrnKpiMOInQLgqbxhERkXnZBSV4ZtuP+PVKo/ZY985+WDXteoMlt8/v/FHSNZ/f+SOeu30QAEBYnP0Bgzh/P2kfy1LjXAWHaZzE8JggRCgVMLVWRgYgQtmatRMRkaGmFjXW7TuNZz8rwLp9p82uONEsudVNRADg1yuNRpfc5p29LKkNunEKX2kJg27cCIm/46XGuQomI07C20uG9CmthWzaJiSa79OnxHFpLxGREZlZhej/9BdYtfM4NuSexaqdx9H/6S+M1uRQqQXmb8oze735m/L0Fgycr6qT1A7duDsSIiWdoxt3z6gYk3+Uash+i3MnTEacyPj4CKyZmYBwpf5QTLhSgTUzE0xW6iMi8mTWFgnbnn9B0nV14640SKvroRt3a/9wSefoxsl9vPDAaPOJxgOjY9yuLLx7DTq5gfHxEUiJC7d6DwMiIk/U1KLGuxaKhL27twiPpQ7QfoA/8fFRSdd+4uOjuD2xJwBA5gVAQj4i08kRNJW1q+qaTcYbq6ytKffethy8DHDbcvBMRpyQt5cMSSz7TkQe7EpDC5ZsyUfx5Xr07uaPf0y/AZ0Vhh9Za/eclHS9tXtOYuHYfgCAFokLUXTjooL8cbq83uI5UUH+2n9rKmubGxIyVVk7bWIcHksd4DEb5cmEcP71QTU1NVAqlaiurkZgYKCjm0NERHY09a19+OF8jcHxQT0DsX1Rst6xxJW7UFFneQltcIAPDj87DgAQvWyn5LaceXESAKDyShMSnsuxGJ/3dAqCOsv1jmUXlGDF9h9RWvP7ZNnwQD+smGq4asfdSP38Zs8IERE5DVOJCAD8cL4GU9/ap5eQ1DRIq+WhG3fboO747IdfLZ5z26Du2n8HdZaje2c5fm2z4Z2u7p3lBokIwOF3Kdyzv8fFqdQCuacq8NmRC8g9VcES8ETkEa40tJhMRDR+OF+DKzqJhdRhC924F/+UKOmctnGHnk5BdyPJBtCaiBx6OsXktTTD77cN6YGkvsFMRNpgz4iTyS4oQcaOQr3S8BFKBdKnxLl9dx4RebYlW8zvcKsbt/aeYQCAviEB+OHiFYvn9A0J0P7bX+6NlLhQsxVVU+JCtZVUdR16OgWVV5pw13v7UVbbhNAucnz0wCijPSIkHZMRJ5JdUIIFm/IMlqeVVDdgwaY8Lu8lIrdWfNnyBNG2cT7ehgmDMW3j1s4eZnKvmZS4UKydPczktYI6y7F76c2SHpekYTLiJDS79poakBFo3bU3JS6c3XtE5JZ6dVXgRGmtpDgNLy9pwzTG4tbOHob6JhVeyCrEmYo6RAcH4KmJcUZ7RMi+mIw4CUu79gK/79rLZb9E5I5mjIjGlz9Znlg6Y0S09t8pcWH4XkKp9pS4MKPH/eXeWDVtoOQ2kn1wAquTKK2W1j0pNY6IyNVU1ZleqWIq7t4bpZVFlxrnTDxpMQN7RpxE5VVp/wmlxhERuZq84krJcXf8VhlV7uOFB0fHmK3C+qALlk/3tMUMrvXuuLGgzn42jSMicjWlFoaqTcWlTYzDg6MNN5iToTURcbXy6ZrFDG2H7kt/W8zQdkdhd8CeEScR2kVakiE1jojIWajUQlLBr4ZmaZvRGYtzl/Lp5hYzCLQmWO64mIHJiLOQOhTovkOGROSGrBluiO+pxHenKixeM76n0uhxuY8X7kvuc20NdjBLixkE3HMxg2uljG6s/Gqj5SAr4oiIHM3UcEOJieGG4E7Sen6lxrmislppQ1VS41wFkxEnEdpFYTnIijgiIkeSWjtJd4VIZz9pH0lS41xRiMR5gVLjXIX7vqMuJjGqGywN/3nJWuOIiJydNbWTND4+fEHStaXGuSQPHbJnMuIkDp+9DEtLyNWiNY6IyNldvFxnddyVRpWkc6TGuSJPHbJnMuIkPHWckIjc05HzVVbH9Q7yl3SO1DhX5KlD9kxGnISn3oBE5J6ExGEE3bh/TL9B0jlS41zR8JggRCgVBjVTNGRoXY00PCaoI5tld0xGnISn3oBE5J6ExEkNunGdFT4Y1DPQbPygnoHorHDfqhTeXjKkT2kt0masiBsApE+Jc6saIwCTEafhqTcgEbmnLn7SEoa2cdsXJZtMSAb1DMT2RcnX3DZnNz4+AmtmJiBcqd8THq5UYM3MBLcsB+++6aUL0tyAbQsEhbvxfgRE5J4u1UibYGksbvuiZFxpaMGSLfkovlyP3t388Y/pN7h1j0hb4+MjkBIXLqlyrTvwnHfWRXjaDUhE7ilCKW2Sqam4zgofrL1nmC2b5HK8vWRuVWXVHCYjTsiTbkAick/KAGkfL1LjyL1xzggREdlcea3EehkS48i9MRkhIiKbyz1daTnIijhyb0xGiIjI5tqztJc8FwfriIhIMpVaSJpg7+stbdK91Dhyb0xGiIhIkuyCEqzY/iNKdZbjhgf6YcXU6w1KD8hMlnDUJzWO3BuHaYiIyKLsghLM35Snl4gAQGlNI+ZvykN2QYnecanlCFi2gAAmI0REZIFKLbBs6zGzMcu2HoNKZ+vxlLhwSdeWGkfujckIERGZdeBUBarqms3GVNU148CpCu33994YI+naUuPIvTEZISIis3JPl1sdJ/fxwoOjzScaD46OgdyHH0PECaxERGSR1Hkd+nFpE1s3/3xvb5HeAl4ZgAdGx2h/TsRkhIjIQ0ldpjssupuk6xmLS5sYh8dSB2Bj7hmcraxDVFAAZiVFs0eE9LTrbli9ejViYmKgUCiQmJiIffv2mY1vbGzE8uXLERUVBT8/P/Tt2xfr169vV4OJiOjaZReU4MYXv8bdaw/g0Y+O4O61B3Dji18brIoBgILzVZKuaSpO7uOF+5L7YOVt8bgvuQ8TETJg9R2xZcsWLF68GMuXL0d+fj6Sk5MxYcIEFBcXmzznL3/5C7766iusW7cOJ06cwObNmzFgwIBrajgREbXP78t0G/SOl9Y0GF2mu/nQeUnXlRpH1JZMCGFVLd4RI0YgISEBa9as0R6LjY3FtGnTkJmZaRCfnZ2Nu+66C6dPn0ZQUFC7GllTUwOlUonq6moEBga26xpERNQ6NDNoxS5cbVKZjOnk540f0sdph2yGrtqN8qvmV9MAQEgnX3z/TKrN2kquT+rnt1U9I01NTTh8+DBSU/VvttTUVOzfv9/oOdu3b8fQoUPx8ssvo0ePHujXrx8ef/xx1NfXm3ycxsZG1NTU6H15kisNLZj3r0MY99pezPvXIVxpaHF0k4jITew/WW42EQGAq40q7D/5+8oYtVot6dpS44jasmoCa3l5OVQqFcLCwvSOh4WFobS01Og5p0+fxnfffQeFQoFPP/0U5eXleOihh1BZWWly3khmZiYyMjKsaZrbmPrWPvxw/vfk60RpLeJX7MKgnoHYvijZgS0jImd3paEFS7bko/hyPXp388c/pt+Azgr9X/P/OSxtKOU/h88juV93AIBMYpVUqXFEbbVrFpFMpn/DCSEMjmmo1WrIZDJ8+OGHGD58OCZOnIhXX30VH3zwgcnekbS0NFRXV2u/zp07155mupy2iYiuH87XYOpb5icKE5H7UKkFck9V4LMjF5B7qkKvuqkxU9/ah/gVu5BzvAwnSmuRc7wM8St2GfzeOH6xWtLj68b5+0r7u1VqHFFbVt05ISEh8Pb2NugFKSsrM+gt0YiIiECPHj2gVCq1x2JjYyGEwPnz53HdddcZnOPn5wc/Pz9rmubyrjS0mExENH44X4MrDS0Gf+kQkXvJLihB+mc/4lLt7/vAhHXxQ8ZthhvSAdL+kNH0rF5ttDz3o23cjOG98fLuny2eM2N4b0nXJvuQulTbGVnVMyKXy5GYmIicnBy94zk5ORg1apTRc2688UZcvHgRV65c0R77+eef4eXlhZ49e7ajye5pyZZ8m8YRkfO4UFmPQSuy0TdtJwatyMaFStNz5jQrXXQTEQC4VGt8Qzpr/pABgCaVtDULunH3j+4r6RypcWR7rUu1v2qzVPsro0u1nZHVwzRLly7FP//5T6xfvx7Hjx/HkiVLUFxcjPnz5wNoHWKZPXu2Nn7GjBkIDg7Gvffei8LCQuzduxdPPPEE5s6dC39/f9s9ExdXfNn0L6f2xBGRfZRWNWDoqt3otzwLQ1ftRmlVg9n4fsuzcOPLX6OmQQWVAGoaVLjx5a/Rb3mWQaxKLfDoR0fMXu/Rj47oDdk8vPmwpHZr4qT+0teNY2l352btjsrOyOo7Z/r06XjttdewcuVKDBkyBHv37kVWVhaioqIAACUlJXo1Rzp37oycnBxUVVVh6NCh+Otf/4opU6bgjTfesN2zcAO9u0lLzKTGEZHtxT7zBUa++BXKrzajSSVQfrUZI1/8CrHPfGE0vt/yLJM9EU0qYZCQfPfzr2hsMb8ipbFFje9+/lX7/f+drjAT/TtNXJNK2oqXtnFpE+Pw4OgYg8LwMrQmIizt7hjt2VHZGbVr8sFDDz2Ehx56yOjPPvjgA4NjAwYMMBjaIX3/mH4D4lfskhRHRLbR1KKWXKY89pkvUN9s/IO8vlmN2Ge+wPFVE7THLlTWWxwSaVIJXKisR4+g1j8y3vzyuKR2v/nlcYwZEAoAaGiW9iGjievk54OqBvNLezVxbbG0u/OxZkflG68L6aBWWY8zIZ2Ev9wbPl4ytJjJXn28ZPCXe3dgq4jcV2ZWIdbuK4Luf7nns45jXrLhX/mlVQ0mExGN+mY1SqsaEN5VAQCY8MYeSe2Y8MYe/LBiPADg8PkrFqJhEGftFnaxkUpcqC6zGB8bqTR6XFPanZyDNTsqO3MywnTWSRwsqjSbiABAy28zpYno2mRmFeLdvfqJCACoBfDu3iJkZhXqHZ8kMbHQjauR0PvQNk5qR7puXFigtJWHmrjXJPauSo0jR2vfjsrOhsmIkyirNT8Jzto4IjKuqUWN9/YWmY15b28RmnTmblyuk1YFWWqcKf6+0j4wdONmjoySdI4mrrPCB4N6mt9WY1DPQJYQcBFJfYNtGucoTEacREgnaX/dSI0jIuM++K7IYg+E+C1Ow0RNRwO6cd07Sfsw143b9ejNks7RjWvPstvti5JNJiSs9uxaRvYJRicLw/ed/Lwxsg+TEZLCPXraiJze7uPGt64wF5dooSfBWNwf4wyLkxmjG9c7JACW5oL6eLXGabR32e32RckoWDEOKbGh6B/eBSmxoShYMY6JiAvytXDT+Ho7/0e987fQQ5RfabQcZEUcERlXJfH/kG7cg2MMK0Uboxv37JTrJZ3TNu7kC5NMJiQ+Xq0/b0uz7NZom8wsu+2s8MHae4Zh1+LRWHvPMA7NuKCDRZWSVtM4+3xD3nlOIrSLwqZxRGRcbaO0eR26cacr6ySdc7qyDmN/+7e/3BspcaHIKTS9ciUlLtToCrmTL0xCcXkdxr++B/XNavj7eiH70TF6PSJtcdmtZ3KX+YZMRpzE8JggRCgVKK1uMDqeLQMQrmzda4CI2k9q7SfduHOXpSUjbePWzh6GeRsOGU1IUuJCsXb2MJPX6h0SgEKduiVScNmt53GXP2SZjDgJby8Z0qfEYcGmPMigv3RPM00kfUqcy2x6RNTRSqsaMPnNvahpaEGgwgefPzxaW/NDV2igAr9etbxZXGjg7+dGBZnukdBlLG7t7GGob1LhhaxCnKmoQ3RwAJ6aGMeaQWQT7vKHLPvvnMj4+AismZmAcKX+L9BwpQJrZiYY3a2TiKwr0x4b2UXaNXXiZiVFw9LfAV6y1jhj/OXeWDVtIDbeNwKrpg1kIkI2o/lDFjBc3+BKf8iyZ8TJjI+PQEpcuMtuA03UljUl19vD2jLtRWVXJV1XN07u44V5yTF410x9knnJ3CiOHEPzh+yK7T/qbZYXFuiHFVOvd4k/ZJmMOCFvL5nTF6gh6VS/Vc51l+Sy8koT7npvP8pqmxDaRY6PHhiFoM5yo7HWlFzXdaWhBUu25KP4cj16d/PHP6bfYHSlR3vKtNc2SauM2jZO0962z8dLBovPh6hjmOobcX4yIYRzb+UHoKamBkqlEtXV1QgMlLben8gZZBeUIP2zAlyqbdIeC+siR8Zt8U7x14q1vRbDnsvBr1eaDI537yzHoadT9I5pSq6bYmrJ6dS39uGH8zUGx40V40pcuQsVEqqeBgf44PCz4wAAj2zOx/ajFy2eM3VwJN6427Akur17eoislV1Qgvmb8kz+/B0HDvNL/fxmMkJkJ9fyC6I9H3jWnpOZVYj39hYZTJZ+wESSYCoR0dBNSJpa1BjwzBdmV654yYCfVk3Qa6OpRESjbUISvWyn6Qdo48yLrfU59v38K2atP2gxfuPc4Uju113y9YkcQaUWSHwux2ytkW4Bvvj+6RSH9MhK/fzmMA2RHajUAov+nW82ZtG/83HiuXCDXxDtGdqw9hxTvRYC0B7XPa/ySpPZRAQAfr3ShMorTQjqLMfG3DMWl9CqBbAx94x2KeqVhhaziQgA/HC+BlcaWrRDNm1Xnpmi+wqP+kMIOsm9cdXMcE0nP2+M+oPz7nBKpHHgdIXFomeX65px4HQFbnTie5p9i0RWOFl6Bdc9tRPRy3biuqd24mSp8S3f954ok7QL894T+vUnrN1Ntj3nNLWozQ6fAK3n6W4Ud9d7+83Gt407UyGtLodu3OItpnuRdOnGRQdJq52gG+ftJcMrfxlsNv6VPw926Xk95DlyT1XYNM5RmIyQW6i80oTUV7/FkIzdSH31W1Ra+Cu+PWKW7cQfX9sDzXzJZjXwx9f2IMbIUMErOSckXVM3rqlFjff2WdhNdp9+ktCec/6595SktunGXaqVVkJdE1fXJO3114378Xy1pHN040b+QdowStu48fEReGdmAsID9ZOZCKXCoePrRNaTOtPCuWdkcJjGTRSer8Hkt/ZBjdYM8/NFyYizsLnXseJqTF39HQRau7G3P3QTBvZWOvxxrH2MtnMZquqbkfBcjtFJle1tV8yynSb/K4vffl704u97hpRU1Zt8XF26cf/afwaWZnAJ0Ro3b3Sfdp+z+WCxpLZtPliMh25t3WvFR2IngSbuazMl0HXpxtVILNOuG/eH7p0lnWMsjsvoyR0k9QnBW99Y/gMjqY/zDtEATEbcQttJfGoAE9/aB+D3SXuWzhEApqz+zqpz7PE41j6GuUmVv15pwrDncowmJNa062TpFUlbzp8svYI/hLd+6DW0mF9uqqEbd+iMtI2sDp2p1CYWh85I63o9dKZCe059i7Slrbpx1/cIxN5fLLfv+h6tSWNto8TlszpxUufS68bNSorG81nHLU6UNVWMjMvoydWN7BuMrgG+ZueNdA3wxUgnv885TOPiLK0mMPZzZz3H2nhrJlVey+OMf32P2XhjcV39fSWdoxunkNj9oBun8JFWyVM3rj1tUwtpbdPE+Uhc6qob5yWxR0I3TlOMzBwWIyN35u0lw4t3DDQb8+IdA52+x4//Q11YoYWVB8bijhVLG5fXjeuIx2nPY9y5ep+kc3Tj2vP8WyQOterGDYiQtgRdN85fLq2jUjfuapO0oQ3duKHR0vao0I0b1KOrpHM0ccOizA/3aejG9eombf+XtnFpE+Pw4OgYg3LtXjLTtUyI3Mnvc6D89I6HB/q5zBwoJiMubPJb0j6MdeOm/jYUYYluXEc8Tnseo6hS2pbYunHtef5S/57QjfvriGhJ5+jG/VJmfGVOW7px7RkO6ttd2t4sunHDortJOkcT5+crLbHSjRsjsaaHsbi0iXH4adUEPDMpFrOTovDMpFj8tGoCExHyGOPjI/DfZWOxed5IvH7XEGyeNxL/XTbWJRIRgHNGXJq0jyH9uPbMu+6Ix2nPY7RHe57/guQYrLawYkUTp1HdYHlX2LZxVxqk9XLoxsUEd8J/T1qeNxIT3En7734SJ33qxuUcvyTpnJzjl3BLbBjCAqUtudWNS74uFO9YWHKsiTNG7uOlrVlC5IlceQ4Ue0ZcmNQ3TzeuPX/ld8TjtOcxuimknaUb157nv3jcAEnn6MZdkriaRjeuexfj+7u0pRs3tp/xD+a2dOMOFEmb9Kobd+yCxOGt3+L6hEhLeHTjNBPxzHGFiXhEZD0mIy7s8zb7dEiJ2/7QTZLO0Y3riMdpz2N8sfgWSefoxrXn+ct9vPDgaPOTJB8crT9Jct8vv0p6HN2463tIm2ehG3fwrLQVOLpxP1yoknSOblygQtqkV03crKRogzkcbbVd5eIuE/GIyHpMRlyYpfoexuIs1RExFtcRj9OexwjvqoC/r/lb2N/XS7tba3vapaGZJGlsT0xjkyTbUzMjyF9az4hu3LGLEnssdOLqJe5aqxv3gMThD01ce1e5uMNEPCKyHpMRF2eqvoe5nzvrOe15jOOrJphMSPx9vXB81YRrbpdG2sQ4nHhOf5LkieeMT5Ic3FNa0qMbV1gicUWRTpzCV+LSXp24RomTXnXjburX3eLyWD8fL9ykM7m0vatcXH0iHhFZj7v2uglPrsAKAKVVDZj85l7UNLQgUOGDzx8erdcjYot2WaO+SYXYZ7Mtxh1fOR7+8tZEIfUf3+LnS1ctntMvrBN2L7kZAPDkx0ex5fvzFs+ZPrQnXvpT634s939wEF/+ZHkY6Y8DuuOfc4Zrv2/vLsTt2YGYiNyD1M9vJiNEdjJvwyHkmCmLnhIXirWzh2m/v3P1dzgsoQ5KYm8lPvltTsuM9/Zj/+nLFs8Z1acb/v3AKADA2r2n8HzWTxbPWT5xAOaN7qt3LLugBM9uK0CZTiG5sC5yZNwWz54LIjIg9fObS3uJ7GTt7GEmE5K2iQgApF4fISkZSb3+9w/99pRdv2dUDF7I+snsMmfZb3FtcT8XIrIHJiNEdrR29jDUN6nwQlYhzlTUITo4AE9NjNMOzei698YYZH5hucfi3ht/TxIG9+yKYxcszzUZ3LOr9t9yHy88MDoG75qp6fHAaNMl1F25lgEROScmI0R25i/3xqpp5pesAr8vITaXJLRdQrx8Uhw2/Z/lXXiXT9KfLKqZPPre3iK9HhIZWhMRVi4loo7EZITIiVibJPjLvZESF2pxboqxnpi0iXF4LHUAJ5cSkcNxAiuRE7J2BYo1c1OIiDoKV9MQeRipc1OIyD2p1MLpJpdzNQ2Rh5E6N4WI3E92QQkydhSipPr3XcojlAqkT4lziWX3HBwmIiJyYdkFJViwKU8vEQGA0uoGLNiUh+yCEge1TDomI0RERC5KpRbI2FFotG6Q5ljGjkKo1M49I4PJCBERkYs6WFRp0COiSwAoqW7AwSJpO3w7CpMRIiIiF1VWazoRaU+cozAZISIiclEhnf1sGucoTEaIiIhcldSpIM49ZYTJCBERkasqv9po0zhHYTJCRETkokK7KGwa5yhMRoiIiFzU8JggRCgVMFVnVYbW4mfDY4I6sllWYzJCRETkory9ZEif0rqBZtuERPN9+pQ4h5eFt4TJCBERkQsbHx+BNTMTEK7UH4oJVyqwZmaCS5SD5940RERELm58fARS4sKdbqM8qZiMEBERuQFvLxmS+gY7uhntwmEaIiIicigmI0RERORQTEaIiIjIoZiMEBERkUMxGSEiIiKHYjJCREREDsVkhIiIiByKyQgRERE5FJMRIiIicigmI0RERORQTEaIiIjIodqVjKxevRoxMTFQKBRITEzEvn37JJ333//+Fz4+PhgyZEh7HpaIiIjckNXJyJYtW7B48WIsX74c+fn5SE5OxoQJE1BcXGz2vOrqasyePRtjx45td2OJiIjI/ciEEMKaE0aMGIGEhASsWbNGeyw2NhbTpk1DZmamyfPuuusuXHfddfD29sa2bdtw5MgRyY9ZU1MDpVKJ6upqBAYGWtNcIiIichCpn99W9Yw0NTXh8OHDSE1N1TuempqK/fv3mzzv/fffx6lTp5Ceni7pcRobG1FTU6P3RURERO7JqmSkvLwcKpUKYWFhesfDwsJQWlpq9JxffvkFy5Ytw4cffggfHx9Jj5OZmQmlUqn96tWrlzXNJCIiIhfSrgmsMplM73shhMExAFCpVJgxYwYyMjLQr18/yddPS0tDdXW19uvcuXPtaSYRERG5AGldFb8JCQmBt7e3QS9IWVmZQW8JANTW1uL7779Hfn4+Fi1aBABQq9UQQsDHxwe7d+/GrbfeanCen58f/Pz8rGkaERERuSirekbkcjkSExORk5OjdzwnJwejRo0yiA8MDMSxY8dw5MgR7df8+fPRv39/HDlyBCNGjLi21hMREZHLs6pnBACWLl2KWbNmYejQoUhKSsJ7772H4uJizJ8/H0DrEMuFCxewYcMGeHl5IT4+Xu/80NBQKBQKg+NERETkmaxORqZPn46KigqsXLkSJSUliI+PR1ZWFqKiogAAJSUlFmuOEBEREWlYXWfEEVhnhIiIyPXYpc4IERERka0xGSEiIiKHYjJCREREDsVkhIiIiByKyQgRERE5FJMRIiIicigmI0RERORQTEaIiIjIoZiMEBERkUMxGSEiIiKHsnpvGiIiInI+TS1qbMw9g7OVdYgKCsCspGjIfVyjz4HJCBERkYvLzCrE2n1FUOvsNvd81nHMS45B2sQ4xzVMIiYjRERELiwzqxDv7i0yOK4W0B539oTENfpviIiIyEBTixpr9xkmIrrW7itCU4u6g1rUPkxGiIiIXNTG3DN6QzPGqEVrnDPjMA0REZGLOltZd01x9U0qvJBViDMVdYgODsBTE+PgL/e2ZRMlYTJCRETkoqKCAtodN2/DIeQUlmm/3/cLsPFAMVLiQrF29jCbtVEKDtMQERG5qFlJ0fCSmY/xkrXG6WqbiOjKKSzDvA2HbNRCaZiMEBERuSi5jxfmJceYjZmXHKNXb6S+SWUyEdHIKSxDfZPKJm2UgskIERGRC0ubGIcHR8cY9JB4yYAHRxvWGXkhq1DSdaXG2QLnjBAREbm4tIlxeCx1gKQKrKfLr0q6ptQ4W2AyQkRE5AbkPl64L7mPxbgAX2mrZaTG2QKHaYiIiDzIuOvDbRpnC0xGiIiIPEhEV3+bxtkCkxEiIiJPYqFiq9VxNsBkhIiIyIOU1TbYNM4WmIwQERF5kPIrTTaNswUmI0RERB6kql5akiE1zhY8dmmvSi1wsKgSZbUNCO2iwPCYIHhbqqlLRETk4oTatnG24JHJSHZBCTJ2FKKk+vfxsAilAulT4jA+PsKBLSMiIrKv6gZpPR5S42zB44ZpsgtKsGBTnl4iAgAl1Q1YsCkP2QUlDmoZERGR/clk0kYBpMbZgkclIyq1QMaOQpOrlQSAjB2FUKk7cD0TERFRB4oKCrBpnC14VDJysKjSoEekrZLqBhwsquygFhEREXWsAeGBNo2zBY9KRkqr620aR0RE5Goq66TNBZEaZwselYxUXpX4BkiMIyIicjWhXRQ2jbMFj0pGgjr72TSOiIjI1QyPCULXAF+zMd0CfDE8JqiDWuRhyUh4oLQsT2ocERGRO+roZRwelYwMjwlCgNzbbEwnuXeHZoNEREQd6WBRJarqms3GVNU1d+hiDo9KRlRqgfpmldmYumYVl/YSEZHbuni5zqZxtuBRycjG3DMQFvIMIVrjiIiI3NGR81U2jbMFj0pGzlZKy/KkxhEREbkeqZVVWYHVLpyx6hwREVFHig6W9hknNc4WPCoZmZUUbTHPk/0WR0RE5I5mJUXD0ib1XrKO/Sz0qGTE20sGH2/z74CPtwzelt4lIiIiFyX38cK85BizMfOSYyD36bgUwaOSkf0ny9GsMj+DtVklsP9keQe1iIiIqOPd0LvbNf3c1jwqGdmad96mcURERK5GpRZYtvWY2ZhlW491aJkLj0pGrjaZrzFibRwREZGrOXCqQlLRswOnKjqoRR6WjCT07mrTOCIiIleTe1raVASpcbbgUcmITCZtYqrUOCIiItfDOiMOdbbyqk3jiIiIXE1S32CbxtmCRyUjv9Y02jSOiIjI1YzsE4yuAb5mY7oF+GJkHyYjdhEWqLimOJVaIPdUBT47cgG5pyq4oR4REbkcby8ZXrxjoNmYzDsGdmjNLZ8OeyQnEBPSqd1x2QUlyNhRiJLqBu2xCKUC6VPiMD4+wmZtJCIisrfx8RF4Z2YCVmwvRGmN4z/XZEJY2sfW8WpqaqBUKlFdXY3AwMB2X6epRY0Bz3wBcx0aXjLgp1UT9CrPZReUYMGmPLQ9TZMzrpmZwISEiIhcjkotcLCoEmW1DQjtosDwmCCb9ohI/fz2qJ4RuY8XxsaGIqewzGTM2NhQvUREpRbI2FFokIgAgEBrQpKxoxApceEsI09ERC7F20vWoRNVTfGoOSMqtUDBhRqzMQUXavTmghwsqtQbmmlLACipbsDBokpbNZOIiMijeFQyYimxAAwTi7Ja8/HWxhEREZE+j0pGLlyuszoutIu0FThS44iIiEifRyUju34stTouMaqbxRp0st/iiIiIyHoelYzUNUvbAE837v9OVxidvKpL/BZHRERE1mtXMrJ69WrExMRAoVAgMTER+/btMxm7detWpKSkoHv37ggMDERSUhJ27drV7gZfiz4S64zoxn2Sd17SOVLjiIiISJ/VyciWLVuwePFiLF++HPn5+UhOTsaECRNQXFxsNH7v3r1ISUlBVlYWDh8+jFtuuQVTpkxBfn7+NTfeWk9NjLM67lyltHkmUuOIiIhIn9XJyKuvvor77rsP999/P2JjY/Haa6+hV69eWLNmjdH41157DX/7298wbNgwXHfddXjhhRdw3XXXYceOHdfceGv5y72REhdqNiYlLhT+cm/t93VNzZKuLTWOiIiI9FmVjDQ1NeHw4cNITU3VO56amor9+/dLuoZarUZtbS2CgoJMxjQ2NqKmpkbvy1bWzh5mMiFJiQvF2tnD9I5VXZWWZEiNIyIiIn1WVWAtLy+HSqVCWFiY3vGwsDCUlkpbqfLKK6/g6tWr+Mtf/mIyJjMzExkZGdY0zSprZw9DfZMKL2QV4kxFHaKDA/DUxDi9HhGNhma1pGtKjSMiIiJ97SoHL5PpL3YVQhgcM2bz5s1YsWIFPvvsM4SGmh4uSUtLw9KlS7Xf19TUoFevXu1pqkn+cm+smmZ+10IA8PaWVuJdahwRERHpsyoZCQkJgbe3t0EvSFlZmUFvSVtbtmzBfffdh//85z/44x//aDbWz88Pfn5+1jTNbnoF+aNcwhBMryD/DmgNERGR+7FqzohcLkdiYiJycnL0jufk5GDUqFEmz9u8eTPmzJmDf//735g0aVL7WuogUnfj5a69RERE7WP1apqlS5fin//8J9avX4/jx49jyZIlKC4uxvz58wG0DrHMnj1bG79582bMnj0br7zyCkaOHInS0lKUlpaiurrads/Cju69sY9N44iIiEif1cnI9OnT8dprr2HlypUYMmQI9u7di6ysLERFRQEASkpK9GqOvPvuu2hpacHChQsRERGh/Xr00Udt9yzsSO7jhQdHx5iNeXB0DOQ+xl9KlVog91QFPjtyAbmnKvR2BCYiIiJAJoRw+k/HmpoaKJVKVFdXIzAw0CFtyMwqxLt7iwyOPzg6BmkmiqllF5QgY0eh3k7BEUoF0qfEcViHiIjcntTPbyYjVmhqUWNj7hmcraxDVFAAZiVFm+wRyS4owYJNeQb72mjW3KyZmcCEhIiI3JrUz+92Le31VHIfL9yXbHluiEotkLGj0OgGewKtCUnGjkKkxIXD24tLgomIyLN51K69HeVgUaXe0ExbAkBJdQMOFlV2XKOIiIicFJMROyirNZ2ItCeOiIjInTEZsYOQztIKtkmNIyIicmdMRuxB6pRgp586TEREZH9MRuygtLrepnFERETujMmIHeSfq7JpHBERkTtjMmIHJRJ7PKTGERERuTMmI3ZwqUbaKhmpcURERO6MyYgd+HlLe1mlxhEREbkzfhraQa/gTjaNIyIicmdMRuzgzoSeNo0jIiJyZ0xG7GDUH0JMbqCn4efjhVF/COmgFhERETkvJiN24mthAzwfb26QR0REBDAZsYsDpytwtUllNuZqowoHTld0UIuIiIicF5MRO8g9JS3JkBpHRETkzpiM2IGQuOmM1DgiIiJ3xmTEDrr6+9o0joiIyJ0xGbGDkM5+No0jIiJyZ0xG7CBc6W/TOCIiInfGZMQOhscEIUKpMBsToVRgeExQB7WIiIjIeTEZsQNvLxnSp8TBVCURGYD0KXHwtlCLhIiIyBMwGbGT8fERWDMzwaCHJEKpwJqZCRgfH+GglhERETkXH0c3wJ2Nj49ASlw4DhZVoqy2AaFdWodm2CNCRET0OyYjdubtJUNS32BHN4OIiMhpcZiGiIiIHIrJCBERETkUkxEiIiJyKCYjRERE5FBMRoiIiMihmIwQERGRQzEZISIiIodiMkJEREQOxWSEiIiIHIrJCBERETkUkxEiIiJyKCYjRERE5FDcKM/OVGrBXXuJiIjMYDJiR9kFJcjYUYiS6gbtsQilAulT4jA+PsKBLSMiInIeHKaxk+yCEizYlKeXiABAaXUDFmzKQ3ZBiYNaRkRErkClFsg9VYHPjlxA7qkKqNTC0U2yG/aM2IFKLZCxoxDGbhsBQAYgY0chUuLCOWRDREQGsgtKsGJ7IUprfv+DNjxQgRVT3bNnnT0jdnCwqNKgR0SXAFBS3YCDRZUd1ygiInIJ2QUlmL8pTy8RAYDSmgbMd9OedSYjdlBWazoRaU8cERF5BpVaYNnWY2Zj0rYec7shGyYjdhDaRWHTOCIi8gwHTlegqq7ZbMzlumYcOF3RQS3qGExG7GB4TBAilAqYmg0iQ+uqmuExQR3ZLCIicnK5p6QlGcbiXHnCKyew2oG3lwzpU+KwYFMeZIDeRFZNgpI+JY6TV4mIqA2pCYR+nKuXkmDPiJ2Mj4/AmpkJCFfqD8WEKxVYMzPBJW4OIiLqWEl9QqyOc4dSEuwZsaPx8RFIiQtnBVYiIpJkZN9gBMi9UdekMhnTSe6NkX2DAbhPKQkmI3bm7SVD0m83DRERkSVyHy+zyYivz++DGtaUknDmzyIO0xARETmJg0WVFlfTVNU1a+tUuUspCSYjRERETsLa5CKkk5+keKlxjsJkhIiIyElYXadK6jQQ550uAoDJCBERkdOwtk5V+ZVGSdeVGucoTEaIiIichKZOFWDYmWGsTpW7VPxmMkJERORErKlTlRjVDZZW7HrJWuOcGZf2EhEROZnx8RG4dUAYNuaewdnKOkQFBWBWUjTkPvp9CIfPXoalqu9q0RrnzEt7mYwQERE5GWPl3f/5XZFBeXcu7SUiIiKbs6a8O+eMEBERkU1ZKu8OtJZ31+zI6y67xLcrGVm9ejViYmKgUCiQmJiIffv2mY3fs2cPEhMToVAo0KdPH7zzzjvtaiwREZE7s6a8O2D96htnZXUysmXLFixevBjLly9Hfn4+kpOTMWHCBBQXFxuNLyoqwsSJE5GcnIz8/Hw89dRTeOSRR/DJJ59cc+OJiIjcSXvmgLjDLvEyIYSFebj6RowYgYSEBKxZs0Z7LDY2FtOmTUNmZqZB/JNPPont27fj+PHj2mPz58/H0aNHkZubK+kxa2pqoFQqUV1djcDAQGuaS0RE5DJyT1Xg7rUHLMZtnjfSYHWMSi2cbpd4qZ/fVq2maWpqwuHDh7Fs2TK946mpqdi/f7/Rc3Jzc5Gamqp3bNy4cVi3bh2am5vh6+trcE5jYyMaG3+vFldTU2NNM4mIiFySZg5IaXWD0XkjMrT2eBibA+LKu8RbNUxTXl4OlUqFsLAwveNhYWEoLS01ek5paanR+JaWFpSXlxs9JzMzE0qlUvvVq1cva5pJRETkktxlDoi12jWBVSbTfxGEEAbHLMUbO66RlpaG6upq7de5c+fa00wiIiKX4w5zQKxl1TBNSEgIvL29DXpBysrKDHo/NMLDw43G+/j4IDjYeHeSn58f/Pyce7tjIiIiexkfH4GUuHCnmwNiL1b1jMjlciQmJiInJ0fveE5ODkaNGmX0nKSkJIP43bt3Y+jQoUbnixAREdHvc0BuG9IDSX2D3TYRAdoxTLN06VL885//xPr163H8+HEsWbIExcXFmD9/PoDWIZbZs2dr4+fPn4+zZ89i6dKlOH78ONavX49169bh8ccft92zICIiIpdl9d4006dPR0VFBVauXImSkhLEx8cjKysLUVFRAICSkhK9miMxMTHIysrCkiVL8PbbbyMyMhJvvPEG7rzzTts9CyIiInJZVtcZcQTWGSEiInI9Uj+/uTcNERERORSTESIiInIoJiNERETkUExGiIiIyKGYjBAREZFDMRkhIiIih7K6zogjaFYfc/deIiIi16H53LZURcQlkpHa2loA4O69RERELqi2thZKpdLkz12i6JlarcbFixfRpUsXs7sDW6umpga9evXCuXPnPLaYmqe/Bp7+/AG+Bnz+nv38Ab4G9nz+QgjU1tYiMjISXl6mZ4a4RM+Il5cXevbsabfrBwYGeuQNqMvTXwNPf/4AXwM+f89+/gBfA3s9f3M9IhqcwEpEREQOxWSEiIiIHMqjkxE/Pz+kp6fDz8/P0U1xGE9/DTz9+QN8Dfj8Pfv5A3wNnOH5u8QEViIiInJfHt0zQkRERI7HZISIiIgciskIERERORSTESIiInIoJiNERETkUB6djKxevRoxMTFQKBRITEzEvn37HN0ku8jMzMSwYcPQpUsXhIaGYtq0aThx4oRezJw5cyCTyfS+Ro4c6aAW29aKFSsMnlt4eLj250IIrFixApGRkfD398fNN9+MH3/80YEttr3o6GiD10Amk2HhwoUA3O/937t3L6ZMmYLIyEjIZDJs27ZN7+dS3vPGxkY8/PDDCAkJQadOnTB16lScP3++A5/FtTH3GjQ3N+PJJ5/EwIED0alTJ0RGRmL27Nm4ePGi3jVuvvlmg/virrvu6uBn0j6W7gEp97w73wMAjP5OkMlk+Pvf/66N6ah7wGOTkS1btmDx4sVYvnw58vPzkZycjAkTJqC4uNjRTbO5PXv2YOHChThw4ABycnLQ0tKC1NRUXL16VS9u/PjxKCkp0X5lZWU5qMW2d/311+s9t2PHjml/9vLLL+PVV1/FW2+9hUOHDiE8PBwpKSnaDRrdwaFDh/Sef05ODgDgz3/+szbGnd7/q1evYvDgwXjrrbeM/lzKe7548WJ8+umn+Oijj/Ddd9/hypUrmDx5MlQqVUc9jWti7jWoq6tDXl4ennnmGeTl5WHr1q34+eefMXXqVIPYefPm6d0X7777bkc0/5pZugcAy/e8O98DAPSee0lJCdavXw+ZTIY777xTL65D7gHhoYYPHy7mz5+vd2zAgAFi2bJlDmpRxykrKxMAxJ49e7TH7rnnHnHbbbc5rlF2lJ6eLgYPHmz0Z2q1WoSHh4sXX3xRe6yhoUEolUrxzjvvdFALO96jjz4q+vbtK9RqtRDCvd9/AOLTTz/Vfi/lPa+qqhK+vr7io48+0sZcuHBBeHl5iezs7A5ru620fQ2MOXjwoAAgzp49qz02ZswY8eijj9q3cR3A2PO3dM974j1w2223iVtvvVXvWEfdAx7ZM9LU1ITDhw8jNTVV73hqair279/voFZ1nOrqagBAUFCQ3vFvv/0WoaGh6NevH+bNm4eysjJHNM8ufvnlF0RGRiImJgZ33XUXTp8+DQAoKipCaWmp3r3g5+eHMWPGuO290NTUhE2bNmHu3Ll6u2C78/uvS8p7fvjwYTQ3N+vFREZGIj4+3m3vi+rqashkMnTt2lXv+IcffoiQkBBcf/31ePzxx92qx9DcPe9p98ClS5ewc+dO3HfffQY/64h7wCV27bW18vJyqFQqhIWF6R0PCwtDaWmpg1rVMYQQWLp0KW666SbEx8drj0+YMAF//vOfERUVhaKiIjzzzDO49dZbcfjwYZcvkTxixAhs2LAB/fr1w6VLl/Dcc89h1KhR+PHHH7Xvt7F74ezZs45ort1t27YNVVVVmDNnjvaYO7//bUl5z0tLSyGXy9GtWzeDGHf8HdHQ0IBly5ZhxowZeru2/vWvf0VMTAzCw8NRUFCAtLQ0HD16VDvM58os3fOedg/861//QpcuXXDHHXfoHe+oe8AjkxEN3b8KgdYP6rbH3M2iRYvwww8/4LvvvtM7Pn36dO2/4+PjMXToUERFRWHnzp0GN6ermTBhgvbfAwcORFJSEvr27Yt//etf2glrnnQvrFu3DhMmTEBkZKT2mDu//6a05z13x/uiubkZd911F9RqNVavXq33s3nz5mn/HR8fj+uuuw5Dhw5FXl4eEhISOrqpNtXee94d7wEAWL9+Pf76179CoVDoHe+oe8Ajh2lCQkLg7e1tkN2WlZUZ/LXkTh5++GFs374d33zzDXr27Gk2NiIiAlFRUfjll186qHUdp1OnThg4cCB++eUX7aoaT7kXzp49iy+//BL333+/2Th3fv+lvOfh4eFoamrC5cuXTca4g+bmZvzlL39BUVERcnJy9HpFjElISICvr69b3hdt73lPuQcAYN++fThx4oTF3wuA/e4Bj0xG5HI5EhMTDbqZcnJyMGrUKAe1yn6EEFi0aBG2bt2Kr7/+GjExMRbPqaiowLlz5xAREdEBLexYjY2NOH78OCIiIrTdj7r3QlNTE/bs2eOW98L777+P0NBQTJo0yWycO7//Ut7zxMRE+Pr66sWUlJSgoKDAbe4LTSLyyy+/4Msvv0RwcLDFc3788Uc0Nze75X3R9p73hHtAY926dUhMTMTgwYMtxtrtHrD7FFkn9dFHHwlfX1+xbt06UVhYKBYvXiw6deokzpw54+im2dyCBQuEUqkU3377rSgpKdF+1dXVCSGEqK2tFY899pjYv3+/KCoqEt98841ISkoSPXr0EDU1NQ5u/bV77LHHxLfffitOnz4tDhw4ICZPniy6dOmifa9ffPFFoVQqxdatW8WxY8fE3XffLSIiItziuetSqVSid+/e4sknn9Q77o7vf21trcjPzxf5+fkCgHj11VdFfn6+dqWIlPd8/vz5omfPnuLLL78UeXl54tZbbxWDBw8WLS0tjnpaVjH3GjQ3N4upU6eKnj17iiNHjuj9XmhsbBRCCHHy5EmRkZEhDh06JIqKisTOnTvFgAEDxA033OASr4G55y/1nnfne0CjurpaBAQEiDVr1hic35H3gMcmI0II8fbbb4uoqCghl8tFQkKC3lJXdwLA6Nf7778vhBCirq5OpKamiu7duwtfX1/Ru3dvcc8994ji4mLHNtxGpk+fLiIiIoSvr6+IjIwUd9xxh/jxxx+1P1er1SI9PV2Eh4cLPz8/MXr0aHHs2DEHttg+du3aJQCIEydO6B13x/f/m2++MXrP33PPPUIIae95fX29WLRokQgKChL+/v5i8uTJLvWamHsNioqKTP5e+Oabb4QQQhQXF4vRo0eLoKAgIZfLRd++fcUjjzwiKioqHPvEJDL3/KXe8+58D2i8++67wt/fX1RVVRmc35H3gEwIIWzb10JEREQknUfOGSEiIiLnwWSEiIiIHIrJCBERETkUkxEiIiJyKCYjRERE5FBMRoiIiMihmIwQERGRQzEZISIiIodiMkJEREQOxWSEiIiIHIrJCBERETnU/wPEZaJu91tbWAAAAABJRU5ErkJggg==", |
|
"text/plain": [ |
|
"<Figure size 640x480 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": {}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"plt.title(\"Parameter 2 of CP vs. orientation\")\n", |
|
"plt.scatter(theta_deg[::step], param_2)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 51, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"text/plain": [ |
|
"<matplotlib.collections.PathCollection at 0x7fefea7e8640>" |
|
] |
|
}, |
|
"execution_count": 51, |
|
"metadata": {}, |
|
"output_type": "execute_result" |
|
}, |
|
{ |
|
"data": { |
|
"image/png": 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", |
|
"text/plain": [ |
|
"<Figure size 640x480 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": {}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"plt.title(\"Parameter 2 of CP vs. phase\")\n", |
|
"plt.scatter(phi_deg[::step], param_2)" |
|
] |
|
} |
|
], |
|
"metadata": { |
|
"kernelspec": { |
|
"display_name": "Python 3.10.5 64-bit", |
|
"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": "3.10.5" |
|
}, |
|
"vscode": { |
|
"interpreter": { |
|
"hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a" |
|
} |
|
} |
|
}, |
|
"nbformat": 4, |
|
"nbformat_minor": 0 |
|
}
|
|
|