{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Installing collected packages: widgetsnbextension, websocket-client, webcolors, urllib3, uri-template, types-python-dateutil, tqdm, tomli, terminado, sniffio, send2trash, rfc3986-validator, rfc3339-validator, qtpy, pyyaml, python-json-logger, pyparsing, pycparser, prometheus-client, pillow, overrides, numpy, networkx, natsort, lazy-loader, kiwisolver, jupyterlab-widgets, jsonpointer, json5, importlib_resources, idna, h11, fqdn, fonttools, cycler, charset-normalizer, certifi, babel, async-lru, tifffile, scipy, requests, opencv-python-headless, jupyter-server-terminals, imageio, httpcore, contourpy, cffi, arrow, anyio, scikit-image, matplotlib, isoduration, httpx, argon2-cffi-bindings, openpiv, ipywidgets, argon2-cffi, qtconsole, jupyter-events, jupyter-console, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter\n",
      "Successfully installed anyio-4.4.0 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 async-lru-2.0.4 babel-2.15.0 certifi-2024.6.2 cffi-1.16.0 charset-normalizer-3.3.2 contourpy-1.2.1 cycler-0.12.1 fonttools-4.53.0 fqdn-1.5.1 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 idna-3.7 imageio-2.34.2 importlib_resources-5.12.0 ipywidgets-8.1.3 isoduration-20.11.0 json5-0.9.25 jsonpointer-3.0.0 jupyter-1.0.0 jupyter-console-6.6.3 jupyter-events-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.1 jupyter-server-terminals-0.5.3 jupyterlab-4.2.3 jupyterlab-server-2.27.2 jupyterlab-widgets-3.0.11 kiwisolver-1.4.5 lazy-loader-0.4 matplotlib-3.9.0 natsort-8.4.0 networkx-3.3 notebook-7.2.1 notebook-shim-0.2.4 numpy-1.26.4 opencv-python-headless-4.10.0.84 openpiv-0.25.3 overrides-7.7.0 pillow-10.3.0 prometheus-client-0.20.0 pycparser-2.22 pyparsing-3.1.2 python-json-logger-2.0.7 pyyaml-6.0.1 qtconsole-5.5.2 qtpy-2.4.1 requests-2.32.3 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 scikit-image-0.24.0 scipy-1.14.0 send2trash-1.8.3 sniffio-1.3.1 terminado-0.18.1 tifffile-2024.6.18 tomli-2.0.1 tqdm-4.66.4 types-python-dateutil-2.9.0.20240316 uri-template-1.3.0 urllib3-2.2.2 webcolors-24.6.0 websocket-client-1.8.0 widgetsnbextension-4.0.11\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "# Only once, for the first time you install the project\n",
    "# conda create -n openpiv-examples python=3.10\n",
    "# conda activate openpiv-examples\n",
    "# %pip install -r requirements.txt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./notebooks/testing_rotation_differences.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/testing_rotation_differences.ipynb to notebook\n",
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     ]
    },
    {
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     "text": [
      "./notebooks/dynamic_masking.ipynb\n"
     ]
    },
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     "text": [
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     ]
    },
    {
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     "text": [
      "./notebooks/pyprocess_correlations.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/pyprocess_correlations.ipynb to notebook\n",
      "[NbConvertApp] Writing 894302 bytes to notebooks/pyprocess_correlations.nbconvert.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./notebooks/openpiv_night_lava_movie.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/openpiv_night_lava_movie.ipynb to notebook\n",
      "[NbConvertApp] Writing 1664372 bytes to notebooks/openpiv_night_lava_movie.nbconvert.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./notebooks/tutorial1.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/tutorial1.ipynb to notebook\n",
      "[NbConvertApp] Writing 2251995 bytes to notebooks/tutorial1.nbconvert.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./notebooks/ensemble_correlation.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/ensemble_correlation.ipynb to notebook\n",
      "[NbConvertApp] Writing 1388739 bytes to notebooks/ensemble_correlation.nbconvert.ipynb\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./notebooks/all_test_cases_sample.ipynb\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook ./notebooks/all_test_cases_sample.ipynb to notebook\n"
     ]
    }
   ],
   "source": [
    "import subprocess\n",
    "from glob import glob\n",
    "\n",
    "for nb in glob('./notebooks/*.ipynb'):\n",
    "    print(nb)\n",
    "    # subprocess.run(['papermill',nb,nb])\n",
    "    subprocess.run(['jupyter','nbconvert','--to','notebook','--execute',nb])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.10.14"
  },
  "vscode": {
   "interpreter": {
    "hash": "f83b0c3a4910470a1212112b1707d582432916ed4ba8aec962241a050aa18fae"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}