167 lines
158 KiB
Plaintext
167 lines
158 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-08-18T09:50:40.616906Z",
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"start_time": "2022-08-18T11:50:40.181358+02:00"
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},
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"execution": {
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"iopub.execute_input": "2022-08-20T06:27:54.689Z",
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"iopub.status.busy": "2022-08-20T06:27:54.685Z",
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"iopub.status.idle": "2022-08-20T06:27:55.297Z",
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"shell.execute_reply": "2022-08-20T06:27:55.319Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"from walker import Walker"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"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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"# Simulate a trajectory"
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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": 3,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-08-20T06:27:55.307Z",
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"iopub.status.busy": "2022-08-20T06:27:55.303Z",
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"iopub.status.idle": "2022-08-20T06:27:56.162Z",
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"shell.execute_reply": "2022-08-20T06:27:56.165Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# Create a Walker instance\n",
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"walker = Walker(sigma_i=3, sigma_j=4, size=200, map_type='hills')\n",
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"\n",
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"# Sample a next step 1000 times\n",
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"i, j = 100, 50\n",
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"trajectory = []\n",
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"for _ in range(1000):\n",
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" i, j = walker.sample_next_step(i, j)\n",
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" trajectory.append((i, j))"
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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": 6,
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-08-20T06:27:56.177Z",
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"iopub.status.busy": "2022-08-20T06:27:56.172Z",
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"iopub.status.idle": "2022-08-20T06:27:56.321Z",
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"shell.execute_reply": "2022-08-20T06:27:56.344Z"
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},
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 480x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"walker.plot_trajectory(trajectory)"
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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": 7,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Figure size 400x400 with 1 Axes>"
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]
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},
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|
"metadata": {},
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||
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|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"walker.plot_trajectory_hexbin(trajectory)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"hide_input": false,
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.11"
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},
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"nteract": {
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"version": "0.28.0"
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},
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"toc": {
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"nav_menu": {
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"height": "12px",
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"width": "252px"
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},
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"navigate_menu": true,
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"number_sections": true,
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"sideBar": true,
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"threshold": 4,
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"toc_cell": false,
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"toc_section_display": "block",
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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