Google_colab_quickstart_example.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mwYbTC2f4axf",
        "outputId": "2fe1e1f2-e465-4e3e-a0bf-cd4e89217f33"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✨🍰✨ Everything looks OK!\n",
            "Cloning into 'Urbanscales'...\n",
            "remote: Enumerating objects: 4167, done.\u001b[K\n",
            "remote: Counting objects: 100% (75/75), done.\u001b[K\n",
            "remote: Compressing objects: 100% (61/61), done.\u001b[K\n",
            "remote: Total 4167 (delta 37), reused 33 (delta 13), pack-reused 4092 (from 1)\u001b[K\n",
            "Receiving objects: 100% (4167/4167), 570.74 MiB | 20.59 MiB/s, done.\n",
            "Resolving deltas: 100% (2240/2240), done.\n"
          ]
        }
      ],
      "source": [
        "! pip install -q condacolab\n",
        "import condacolab\n",
        "condacolab.install()\n",
        "\n",
        "! rm -rf Urbanscales\n",
        "! rm -rf sample_data\n",
        "! git clone https://github.com/mie-lab/Urbanscales"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# If using Conda, the yml file can be used to create a new environment as shown below\n",
        "# ! conda env create --name envname --file=condaenvironment.yml"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3RotdBXA4xT-",
        "outputId": "6f6ad0d1-6d68-4e84-a84b-8300a9f786e3"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/Urbanscales\n",
            "Channels:\n",
            " - conda-forge\n",
            "Platform: linux-64\n",
            "Collecting package metadata (repodata.json): - \b\b\\ \b\b| \b\b/ \b\b- \b\b\\ \b\b| \b\bdone\n",
            "Solving environment: - \b\b\\ \b\b| \b\bfailed\n",
            "\n",
            "PackagesNotFoundError: The following packages are not available from current channels:\n",
            "\n",
            "  - affine==2.4.0=pypi_0\n",
            "  - alphashape==1.3.1=pypi_0\n",
            "  - annotated-types==0.7.0=pypi_0\n",
            "  - anyio==3.7.1=pypi_0\n",
            "  - appnope==0.1.3=pypi_0\n",
            "  - area==1.1.1=pypi_0\n",
            "  - argon2-cffi==23.1.0=pypi_0\n",
            "  - argon2-cffi-bindings==21.2.0=pypi_0\n",
            "  - arrow==1.2.3=pypi_0\n",
            "  - asttokens==2.2.1=pypi_0\n",
            "  - async-lru==2.0.4=pypi_0\n",
            "  - attrs==23.1.0=pypi_0\n",
            "  - babel==2.12.1=pypi_0\n",
            "  - backcall==0.2.0=pypi_0\n",
            "  - basemap==1.4.0=pypi_0\n",
            "  - basemap-data==1.3.2=pypi_0\n",
            "  - beautifulsoup4==4.12.2=pypi_0\n",
            "  - black==23.9.1=pypi_0\n",
            "  - bleach==6.0.0=pypi_0\n",
            "  - blinker==1.7.0=pypi_0\n",
            "  - branca==0.6.0=py38hecd8cb5_0\n",
            "  - brotli-python==1.0.9=py38he9d5cce_7\n",
            "  - ca-certificates==2023.12.12=hecd8cb5_0\n",
            "  - certifi==2023.7.22=pypi_0\n",
            "  - cffi==1.15.1=pypi_0\n",
            "  - chardet==5.2.0=pypi_0\n",
            "  - charset-normalizer==3.2.0=pypi_0\n",
            "  - click==8.1.7=pypi_0\n",
            "  - click-log==0.4.0=pypi_0\n",
            "  - click-plugins==1.1.1=pypi_0\n",
            "  - cligj==0.7.2=pypi_0\n",
            "  - cloudpickle==3.0.0=pypi_0\n",
            "  - comm==0.1.4=pypi_0\n",
            "  - commonmark==0.9.1=pypi_0\n",
            "  - contextily==1.5.0=pypi_0\n",
            "  - contourpy==1.1.0=pypi_0\n",
            "  - cryptography==41.0.7=py38h30e54ef_0\n",
            "  - cycler==0.11.0=pypi_0\n",
            "  - dash==2.16.1=pypi_0\n",
            "  - dash-core-components==2.0.0=pypi_0\n",
            "  - dash-cytoscape==1.0.0=pypi_0\n",
            "  - dash-html-components==2.0.0=pypi_0\n",
            "  - dash-table==5.0.0=pypi_0\n",
            "  - debugpy==1.6.7.post1=pypi_0\n",
            "  - decorator==5.1.1=pypi_0\n",
            "  - defusedxml==0.7.1=pypi_0\n",
            "  - dill==0.3.8=pypi_0\n",
            "  - dtaidistance==2.3.12=pypi_0\n",
            "  - earthpy==0.9.4=pypi_0\n",
            "  - exceptiongroup==1.1.3=pypi_0\n",
            "  - executing==1.2.0=pypi_0\n",
            "  - fastjsonschema==2.18.0=pypi_0\n",
            "  - fiona==1.9.4.post1=pypi_0\n",
            "  - flask==3.0.2=pypi_0\n",
            "  - folium==0.15.1=pypi_0\n",
            "  - fonttools==4.42.0=pypi_0\n",
            "  - fqdn==1.5.1=pypi_0\n",
            "  - geographiclib==1.49=pypi_0\n",
            "  - geojson==2.5.0=pypi_0\n",
            "  - geopandas==0.13.2=pypi_0\n",
            "  - geopy==2.2.0=pypi_0\n",
            "  - gevent==24.2.1=pypi_0\n",
            "  - greenlet==3.0.3=pypi_0\n",
            "  - idna==3.4=py38hecd8cb5_0\n",
            "  - imageio==2.31.1=pypi_0\n",
            "  - importlib-metadata==6.8.0=pypi_0\n",
            "  - importlib-resources==6.0.1=pypi_0\n",
            "  - interpret==0.5.1=pypi_0\n",
            "  - interpret-core==0.5.1=pypi_0\n",
            "  - ipykernel==6.25.1=pypi_0\n",
            "  - ipython==8.12.2=pypi_0\n",
            "  - ipython-genutils==0.2.0=pypi_0\n",
            "  - ipywidgets==8.1.0=pypi_0\n",
            "  - isoduration==20.11.0=pypi_0\n",
            "  - itsdangerous==2.1.2=pypi_0\n",
            "  - jedi==0.19.0=pypi_0\n",
            "  - jinja2==3.1.2=py38hecd8cb5_0\n",
            "  - joblib==1.3.2=pypi_0\n",
            "  - json5==0.9.14=pypi_0\n",
            "  - jsonpointer==2.4=pypi_0\n",
            "  - jsonschema==4.19.0=pypi_0\n",
            "  - jsonschema-specifications==2023.7.1=pypi_0\n",
            "  - jupyter==1.0.0=pypi_0\n",
            "  - jupyter-client==8.3.0=pypi_0\n",
            "  - jupyter-console==6.6.3=pypi_0\n",
            "  - jupyter-core==5.3.1=pypi_0\n",
            "  - jupyter-events==0.7.0=pypi_0\n",
            "  - jupyter-lsp==2.2.0=pypi_0\n",
            "  - jupyter-server==2.7.2=pypi_0\n",
            "  - jupyter-server-terminals==0.4.4=pypi_0\n",
            "  - jupyterlab==4.0.5=pypi_0\n",
            "  - jupyterlab-pygments==0.2.2=pypi_0\n",
            "  - jupyterlab-server==2.24.0=pypi_0\n",
            "  - jupyterlab-widgets==3.0.8=pypi_0\n",
            "  - kaleido==0.2.1=pypi_0\n",
            "  - kiwisolver==1.4.4=pypi_0\n",
            "  - lazy-loader==0.3=pypi_0\n",
            "  - libcxx==14.0.6=h9765a3e_0\n",
            "  - libffi==3.4.4=hecd8cb5_0\n",
            "  - libgfortran==5.0.0=11_3_0_hecd8cb5_28\n",
            "  - libgfortran5==11.3.0=h9dfd629_28\n",
            "  - libopenblas==0.3.21=h54e7dc3_0\n",
            "  - llvm-openmp==14.0.6=h0dcd299_0\n",
            "  - llvmlite==0.41.1=pypi_0\n",
            "  - mako==1.3.5=pypi_0\n",
            "  - markdown==3.6=pypi_0\n",
            "  - markupsafe==2.1.3=py38h6c40b1e_0\n",
            "  - matplotlib==3.7.2=pypi_0\n",
            "  - matplotlib-inline==0.1.6=pypi_0\n",
            "  - matplotlib-scalebar==0.8.1=pypi_0\n",
            "  - mercantile==1.2.1=pypi_0\n",
            "  - mistune==3.0.1=pypi_0\n",
            "  - multiprocess==0.70.16=pypi_0\n",
            "  - mypy_extensions==1.0.0=py38hecd8cb5_0\n",
            "  - nbclient==0.8.0=pypi_0\n",
            "  - nbconvert==7.7.4=pypi_0\n",
            "  - nbformat==5.9.2=pypi_0\n",
            "  - ncurses==6.4=hcec6c5f_0\n",
            "  - nest-asyncio==1.5.7=pypi_0\n",
            "  - networkx==3.1=pypi_0\n",
            "  - notebook==7.0.2=pypi_0\n",
            "  - notebook-shim==0.2.3=pypi_0\n",
            "  - numba==0.58.1=pypi_0\n",
            "  - numpy==1.24.4=pypi_0\n",
            "  - numpy-base==1.24.3=py38hc93c6d9_0\n",
            "  - openssl==3.0.12=hca72f7f_0\n",
            "  - osmnx==1.2.0=pypi_0\n",
            "  - overrides==7.4.0=pypi_0\n",
            "  - packaging==23.1=py38hecd8cb5_0\n",
            "  - pandas==1.4.3=pypi_0\n",
            "  - pandocfilters==1.5.0=pypi_0\n",
            "  - parso==0.8.3=pypi_0\n",
            "  - pathspec==0.11.2=pypi_0\n",
            "  - patsy==0.5.3=pypi_0\n",
            "  - pdoc3==0.10.0=pypi_0\n",
            "  - pexpect==4.8.0=pypi_0\n",
            "  - pickleshare==0.7.5=pypi_0\n",
            "  - pillow==10.0.0=pypi_0\n",
            "  - pip==23.2.1=py38hecd8cb5_0\n",
            "  - pkgutil-resolve-name==1.3.10=pypi_0\n",
            "  - platformdirs==3.10.0=py38hecd8cb5_0\n",
            "  - plotly==5.11.0=pypi_0\n",
            "  - prometheus-client==0.17.1=pypi_0\n",
            "  - prompt-toolkit==3.0.39=pypi_0\n",
            "  - psutil==5.9.5=pypi_0\n",
            "  - ptyprocess==0.7.0=pypi_0\n",
            "  - pure-eval==0.2.2=pypi_0\n",
            "  - pycparser==2.21=pyhd3eb1b0_0\n",
            "  - pydantic==2.8.2=pypi_0\n",
            "  - pydantic-core==2.20.1=pypi_0\n",
            "  - pygments==2.16.1=pypi_0\n",
            "  - pyopenssl==23.2.0=py38hecd8cb5_0\n",
            "  - pyparsing==3.0.9=pypi_0\n",
            "  - pyproj==3.5.0=pypi_0\n",
            "  - pyshp==2.3.1=pypi_0\n",
            "  - pysocks==1.7.1=py38_1\n",
            "  - python==3.8.17=h5ee71fb_0\n",
            "  - python-dateutil==2.8.2=pypi_0\n",
            "  - python-json-logger==2.0.7=pypi_0\n",
            "  - python-slugify==6.1.2=pypi_0\n",
            "  - python-ternary==1.0.8=pypi_0\n",
            "  - pytz==2023.3=pypi_0\n",
            "  - pywavelets==1.4.1=pypi_0\n",
            "  - pyyaml==6.0.1=pypi_0\n",
            "  - pyzmq==25.1.1=pypi_0\n",
            "  - qtconsole==5.4.3=pypi_0\n",
            "  - qtpy==2.3.1=pypi_0\n",
            "  - rasterio==1.3.8=pypi_0\n",
            "  - readline==8.2=hca72f7f_0\n",
            "  - referencing==0.30.2=pypi_0\n",
            "  - requests==2.31.0=py38hecd8cb5_0\n",
            "  - retrying==1.3.4=pypi_0\n",
            "  - rfc3339-validator==0.1.4=pypi_0\n",
            "  - rfc3986-validator==0.1.1=pypi_0\n",
            "  - rich==12.6.0=pypi_0\n",
            "  - rpds-py==0.9.2=pypi_0\n",
            "  - rtree==1.0.1=pypi_0\n",
            "  - salib==1.4.8=pypi_0\n",
            "  - scikit-image==0.21.0=pypi_0\n",
            "  - scikit-learn==1.3.0=pypi_0\n",
            "  - scikit-learn-extra==0.3.0=pypi_0\n",
            "  - scipy==1.10.1=pypi_0\n",
            "  - seaborn==0.12.1=pypi_0\n",
            "  - send2trash==1.8.2=pypi_0\n",
            "  - setuptools==68.0.0=py38hecd8cb5_0\n",
            "  - shap==0.44.0=pypi_0\n",
            "  - shapely==1.8.2=pypi_0\n",
            "  - six==1.16.0=pypi_0\n",
            "  - slicer==0.0.7=pypi_0\n",
            "  - smartprint==1.0.5=pypi_0\n",
            "  - sniffio==1.3.0=pypi_0\n",
            "  - snuggs==1.4.7=pypi_0\n",
            "  - soupsieve==2.4.1=pypi_0\n",
            "  - sqlite==3.41.2=h6c40b1e_0\n",
            "  - stack-data==0.6.2=pypi_0\n",
            "  - stadiamaps==3.2.0=pypi_0\n",
            "  - statsmodels==0.14.0=pypi_0\n",
            "  - tabulate==0.9.0=pypi_0\n",
            "  - tenacity==8.2.3=pypi_0\n",
            "  - terminado==0.17.1=pypi_0\n",
            "  - text-unidecode==1.3=pypi_0\n",
            "  - threadpoolctl==3.2.0=pypi_0\n",
            "  - tifffile==2023.7.10=pypi_0\n",
            "  - tinycss2==1.2.1=pypi_0\n",
            "  - tk==8.6.12=h5d9f67b_0\n",
            "  - tomli==2.0.1=py38hecd8cb5_0\n",
            "  - tornado==6.3.3=pypi_0\n",
            "  - tqdm==4.66.1=pypi_0\n",
            "  - traitlets==5.9.0=pypi_0\n",
            "  - trimesh==4.0.9=pypi_0\n",
            "  - tslearn==0.6.3=pypi_0\n",
            "  - typing_extensions==4.7.1=py38hecd8cb5_0\n",
            "  - tzdata==2023.3=pypi_0\n",
            "  - uri-template==1.3.0=pypi_0\n",
            "  - urllib3==2.0.4=pypi_0\n",
            "  - wcwidth==0.2.6=pypi_0\n",
            "  - webcolors==1.13=pypi_0\n",
            "  - webencodings==0.5.1=pypi_0\n",
            "  - websocket-client==1.6.1=pypi_0\n",
            "  - werkzeug==3.0.1=pypi_0\n",
            "  - wheel==0.38.4=py38hecd8cb5_0\n",
            "  - widgetsnbextension==4.0.8=pypi_0\n",
            "  - xgboost==2.0.3=pypi_0\n",
            "  - xyzservices==2023.10.1=pypi_0\n",
            "  - xz==5.4.2=h6c40b1e_0\n",
            "  - yellowbrick==1.5=pypi_0\n",
            "  - zipp==3.16.2=pypi_0\n",
            "  - zlib==1.2.13=h4dc903c_0\n",
            "  - zope-event==5.0=pypi_0\n",
            "  - zope-interface==6.2=pypi_0\n",
            "\n",
            "Current channels:\n",
            "\n",
            "  - https://conda.anaconda.org/conda-forge\n",
            "\n",
            "To search for alternate channels that may provide the conda package you're\n",
            "looking for, navigate to\n",
            "\n",
            "    https://anaconda.org\n",
            "\n",
            "and use the search bar at the top of the page.\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# download speed data from the polybox link below and use the password: data-7-cities\n",
        "# https://polybox.ethz.ch/index.php/s/05TB4iMrMR673Xz/authenticate\n",
        "# download the zipped folder: speed_data.zip\n",
        "# unzip it using the command below:\n",
        "\n",
        "! rm -rf speed_data\n",
        "! rm -rf speed_data.zip\n",
        "! pip install gdown\n",
        "! gdown --id '1i9Hj8jZiA9RldBK2icR1ZlOkwGhrCIbr'\n",
        "! unzip speed_data.zip\n",
        "! cp -r speed_data/* Urbanscales/speed_data/"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EE7SzpM-BBnD",
        "outputId": "ea302000-c8e2-4f79-d951-bac9bbd1193f"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: gdown in /usr/local/lib/python3.10/site-packages (5.2.0)\n",
            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.10/site-packages (from gdown) (4.12.3)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/site-packages (from gdown) (3.16.1)\n",
            "Requirement already satisfied: requests[socks] in /usr/local/lib/python3.10/site-packages (from gdown) (2.31.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/site-packages (from gdown) (4.66.1)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/site-packages (from beautifulsoup4->gdown) (2.6)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/site-packages (from requests[socks]->gdown) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/site-packages (from requests[socks]->gdown) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/site-packages (from requests[socks]->gdown) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/site-packages (from requests[socks]->gdown) (2023.11.17)\n",
            "Requirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/site-packages (from requests[socks]->gdown) (1.7.1)\n",
            "/usr/local/lib/python3.10/site-packages/gdown/__main__.py:140: FutureWarning: Option `--id` was deprecated in version 4.3.1 and will be removed in 5.0. You don't need to pass it anymore to use a file ID.\n",
            "  warnings.warn(\n",
            "Downloading...\n",
            "From (original): https://drive.google.com/uc?id=1i9Hj8jZiA9RldBK2icR1ZlOkwGhrCIbr\n",
            "From (redirected): https://drive.google.com/uc?id=1i9Hj8jZiA9RldBK2icR1ZlOkwGhrCIbr&confirm=t&uuid=df1b696f-d7ff-4e23-ae2a-8a9beba1e68a\n",
            "To: /content/speed_data.zip\n",
            "100% 670M/670M [00:03<00:00, 170MB/s]\n",
            "Archive:  speed_data.zip\n",
            "   creating: speed_data/\n",
            "replace __MACOSX/._speed_data? [y]es, [n]o, [A]ll, [N]one, [r]ename: A\n",
            "  inflating: __MACOSX/._speed_data   \n",
            "   creating: speed_data/Mumbai/\n",
            "  inflating: __MACOSX/speed_data/._Mumbai  \n",
            "  inflating: speed_data/.DS_Store    \n",
            "  inflating: __MACOSX/speed_data/._.DS_Store  \n",
            "   creating: speed_data/Bogota/\n",
            "  inflating: __MACOSX/speed_data/._Bogota  \n",
            "   creating: speed_data/Istanbul/\n",
            "  inflating: __MACOSX/speed_data/._Istanbul  \n",
            "   creating: speed_data/MexicoCity/\n",
            "  inflating: __MACOSX/speed_data/._MexicoCity  \n",
            "   creating: speed_data/Auckland/\n",
            "  inflating: __MACOSX/speed_data/._Auckland  \n",
            "   creating: speed_data/Capetown/\n",
            "  inflating: __MACOSX/speed_data/._Capetown  \n",
            "   creating: speed_data/NewYorkCity/\n",
            "  inflating: __MACOSX/speed_data/._NewYorkCity  \n",
            "  inflating: speed_data/Mumbai/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/Mumbai/._segments.csv  \n",
            "  inflating: speed_data/Mumbai/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/Mumbai/._jf.csv  \n",
            "  inflating: speed_data/Bogota/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/Bogota/._segments.csv  \n",
            "  inflating: speed_data/Bogota/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/Bogota/._jf.csv  \n",
            "  inflating: speed_data/Istanbul/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/Istanbul/._segments.csv  \n",
            "  inflating: speed_data/Istanbul/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/Istanbul/._jf.csv  \n",
            "  inflating: speed_data/MexicoCity/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/MexicoCity/._segments.csv  \n",
            "  inflating: speed_data/MexicoCity/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/MexicoCity/._jf.csv  \n",
            "  inflating: speed_data/Auckland/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/Auckland/._segments.csv  \n",
            "  inflating: speed_data/Auckland/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/Auckland/._jf.csv  \n",
            "  inflating: speed_data/Capetown/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/Capetown/._segments.csv  \n",
            "  inflating: speed_data/Capetown/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/Capetown/._jf.csv  \n",
            "  inflating: speed_data/NewYorkCity/segments.csv  \n",
            "  inflating: __MACOSX/speed_data/NewYorkCity/._segments.csv  \n",
            "  inflating: speed_data/NewYorkCity/jf.csv  \n",
            "  inflating: __MACOSX/speed_data/NewYorkCity/._jf.csv  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "K_qQTwXBF9Zw"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hIqN-qtCElNH"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! pip install -r Urbanscales/requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A-z2WUEa8AfK",
        "outputId": "07cdaadb-5090-4e80-93fd-b2c0bc321bff"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pandas==1.4.3 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 2)) (1.4.3)\n",
            "Requirement already satisfied: osmnx==1.2.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 3)) (1.2.0)\n",
            "Requirement already satisfied: shapely==1.8.2 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 4)) (1.8.2)\n",
            "Requirement already satisfied: tqdm==4.66.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 5)) (4.66.1)\n",
            "Requirement already satisfied: yellowbrick==1.5 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 6)) (1.5)\n",
            "Requirement already satisfied: smartprint==1.0.5 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 7)) (1.0.5)\n",
            "Requirement already satisfied: basemap==1.4.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 8)) (1.4.0)\n",
            "Requirement already satisfied: shap==0.44.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 9)) (0.44.0)\n",
            "Requirement already satisfied: xgboost==2.0.3 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 10)) (2.0.3)\n",
            "Requirement already satisfied: jupyterlab in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 12)) (4.3.4)\n",
            "Requirement already satisfied: geopy==2.2.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 13)) (2.2.0)\n",
            "Requirement already satisfied: alphashape==1.3.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 14)) (1.3.1)\n",
            "Requirement already satisfied: geojson==2.5.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 15)) (2.5.0)\n",
            "Requirement already satisfied: seaborn==0.12.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 16)) (0.12.1)\n",
            "Requirement already satisfied: python-slugify==6.1.2 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 17)) (6.1.2)\n",
            "Requirement already satisfied: plotly==5.11.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 18)) (5.11.0)\n",
            "Requirement already satisfied: kaleido==0.2.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 20)) (0.2.1)\n",
            "Requirement already satisfied: earthpy==0.9.4 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 21)) (0.9.4)\n",
            "Requirement already satisfied: geopandas==0.13.2 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 22)) (0.13.2)\n",
            "Requirement already satisfied: folium==0.15.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 23)) (0.15.1)\n",
            "Requirement already satisfied: contextily==1.5.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 24)) (1.5.0)\n",
            "Requirement already satisfied: charset_normalizer==3.3.2 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 25)) (3.3.2)\n",
            "Requirement already satisfied: chardet==5.2.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 26)) (5.2.0)\n",
            "Requirement already satisfied: matplotlib==3.7.2 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 27)) (3.7.2)\n",
            "Requirement already satisfied: area==1.1.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 28)) (1.1.1)\n",
            "Requirement already satisfied: geographiclib==1.49 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 29)) (1.49)\n",
            "Requirement already satisfied: interpret==0.5.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 30)) (0.5.1)\n",
            "Requirement already satisfied: pdoc3==0.10.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 31)) (0.10.0)\n",
            "Requirement already satisfied: tslearn==0.6.3 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 32)) (0.6.3)\n",
            "Requirement already satisfied: scikit-learn-extra==0.3.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 33)) (0.3.0)\n",
            "Requirement already satisfied: dtaidistance==2.3.12 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 34)) (2.3.12)\n",
            "Requirement already satisfied: python-ternary==1.0.8 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 35)) (1.0.8)\n",
            "Requirement already satisfied: tabulate==0.9.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 36)) (0.9.0)\n",
            "Requirement already satisfied: matplotlib-scalebar==0.8.1 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 37)) (0.8.1)\n",
            "Requirement already satisfied: stadiamaps==3.2.0 in /usr/local/lib/python3.10/site-packages (from -r Urbanscales/requirements.txt (line 38)) (3.2.0)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/site-packages (from pandas==1.4.3->-r Urbanscales/requirements.txt (line 2)) (2.9.0.post0)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/site-packages (from pandas==1.4.3->-r Urbanscales/requirements.txt (line 2)) (2024.2)\n",
            "Requirement already satisfied: numpy>=1.21.0 in /usr/local/lib/python3.10/site-packages (from pandas==1.4.3->-r Urbanscales/requirements.txt (line 2)) (1.26.4)\n",
            "Requirement already satisfied: networkx>=2.8 in /usr/local/lib/python3.10/site-packages (from osmnx==1.2.0->-r Urbanscales/requirements.txt (line 3)) (3.4.2)\n",
            "Requirement already satisfied: pyproj>=3.3 in /usr/local/lib/python3.10/site-packages (from osmnx==1.2.0->-r Urbanscales/requirements.txt (line 3)) (3.6.1)\n",
            "Requirement already satisfied: requests>=2.27 in /usr/local/lib/python3.10/site-packages (from osmnx==1.2.0->-r Urbanscales/requirements.txt (line 3)) (2.31.0)\n",
            "Requirement already satisfied: Rtree>=1.0 in /usr/local/lib/python3.10/site-packages (from osmnx==1.2.0->-r Urbanscales/requirements.txt (line 3)) (1.3.0)\n",
            "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.10/site-packages (from yellowbrick==1.5->-r Urbanscales/requirements.txt (line 6)) (1.14.1)\n",
            "Requirement already satisfied: scikit-learn>=1.0.0 in /usr/local/lib/python3.10/site-packages (from yellowbrick==1.5->-r Urbanscales/requirements.txt (line 6)) (1.6.0)\n",
            "Requirement already satisfied: cycler>=0.10.0 in /usr/local/lib/python3.10/site-packages (from yellowbrick==1.5->-r Urbanscales/requirements.txt (line 6)) (0.12.1)\n",
            "Requirement already satisfied: rich==12.6.0 in /usr/local/lib/python3.10/site-packages (from smartprint==1.0.5->-r Urbanscales/requirements.txt (line 7)) (12.6.0)\n",
            "Requirement already satisfied: basemap-data<1.4,>=1.3.2 in /usr/local/lib/python3.10/site-packages (from basemap==1.4.0->-r Urbanscales/requirements.txt (line 8)) (1.3.2)\n",
            "Requirement already satisfied: pyshp<2.4,>=1.2 in /usr/local/lib/python3.10/site-packages (from basemap==1.4.0->-r Urbanscales/requirements.txt (line 8)) (2.3.1)\n",
            "Requirement already satisfied: packaging<24.0,>=16.0 in /usr/local/lib/python3.10/site-packages (from basemap==1.4.0->-r Urbanscales/requirements.txt (line 8)) (23.2)\n",
            "Requirement already satisfied: slicer==0.0.7 in /usr/local/lib/python3.10/site-packages (from shap==0.44.0->-r Urbanscales/requirements.txt (line 9)) (0.0.7)\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.10/site-packages (from shap==0.44.0->-r Urbanscales/requirements.txt (line 9)) (0.60.0)\n",
            "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.10/site-packages (from shap==0.44.0->-r Urbanscales/requirements.txt (line 9)) (3.1.0)\n",
            "Requirement already satisfied: Click>=6.0 in /usr/local/lib/python3.10/site-packages (from alphashape==1.3.1->-r Urbanscales/requirements.txt (line 14)) (8.1.8)\n",
            "Requirement already satisfied: click-log>=0.3.2 in /usr/local/lib/python3.10/site-packages (from alphashape==1.3.1->-r Urbanscales/requirements.txt (line 14)) (0.4.0)\n",
            "Requirement already satisfied: trimesh>=3.9.8 in /usr/local/lib/python3.10/site-packages (from alphashape==1.3.1->-r Urbanscales/requirements.txt (line 14)) (4.5.3)\n",
            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.10/site-packages (from python-slugify==6.1.2->-r Urbanscales/requirements.txt (line 17)) (1.3)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.10/site-packages (from plotly==5.11.0->-r Urbanscales/requirements.txt (line 18)) (9.0.0)\n",
            "Requirement already satisfied: rasterio in /usr/local/lib/python3.10/site-packages (from earthpy==0.9.4->-r Urbanscales/requirements.txt (line 21)) (1.4.3)\n",
            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.10/site-packages (from earthpy==0.9.4->-r Urbanscales/requirements.txt (line 21)) (0.25.0)\n",
            "Requirement already satisfied: fiona>=1.8.19 in /usr/local/lib/python3.10/site-packages (from geopandas==0.13.2->-r Urbanscales/requirements.txt (line 22)) (1.10.1)\n",
            "Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.10/site-packages (from folium==0.15.1->-r Urbanscales/requirements.txt (line 23)) (0.8.1)\n",
            "Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.10/site-packages (from folium==0.15.1->-r Urbanscales/requirements.txt (line 23)) (3.1.5)\n",
            "Requirement already satisfied: xyzservices in /usr/local/lib/python3.10/site-packages (from folium==0.15.1->-r Urbanscales/requirements.txt (line 23)) (2024.9.0)\n",
            "Requirement already satisfied: mercantile in /usr/local/lib/python3.10/site-packages (from contextily==1.5.0->-r Urbanscales/requirements.txt (line 24)) (1.2.1)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.10/site-packages (from contextily==1.5.0->-r Urbanscales/requirements.txt (line 24)) (11.0.0)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/site-packages (from contextily==1.5.0->-r Urbanscales/requirements.txt (line 24)) (1.4.2)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/site-packages (from matplotlib==3.7.2->-r Urbanscales/requirements.txt (line 27)) (1.3.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/site-packages (from matplotlib==3.7.2->-r Urbanscales/requirements.txt (line 27)) (4.55.3)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/site-packages (from matplotlib==3.7.2->-r Urbanscales/requirements.txt (line 27)) (1.4.8)\n",
            "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in /usr/local/lib/python3.10/site-packages (from matplotlib==3.7.2->-r Urbanscales/requirements.txt (line 27)) (3.0.9)\n",
            "Requirement already satisfied: interpret-core==0.5.1 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (0.5.1)\n",
            "Requirement already satisfied: mako in /usr/local/lib/python3.10/site-packages (from pdoc3==0.10.0->-r Urbanscales/requirements.txt (line 31)) (1.3.8)\n",
            "Requirement already satisfied: markdown>=3.0 in /usr/local/lib/python3.10/site-packages (from pdoc3==0.10.0->-r Urbanscales/requirements.txt (line 31)) (3.7)\n",
            "Requirement already satisfied: urllib3<2.1.0,>=1.25.3 in /usr/local/lib/python3.10/site-packages (from stadiamaps==3.2.0->-r Urbanscales/requirements.txt (line 38)) (2.0.7)\n",
            "Requirement already satisfied: pydantic>=2 in /usr/local/lib/python3.10/site-packages (from stadiamaps==3.2.0->-r Urbanscales/requirements.txt (line 38)) (2.10.4)\n",
            "Requirement already satisfied: typing-extensions>=4.7.1 in /usr/local/lib/python3.10/site-packages (from stadiamaps==3.2.0->-r Urbanscales/requirements.txt (line 38)) (4.12.2)\n",
            "Requirement already satisfied: SALib>=1.3.3 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (1.4.8)\n",
            "Requirement already satisfied: dill>=0.2.5 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (0.3.9)\n",
            "Requirement already satisfied: psutil>=5.6.2 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (6.1.1)\n",
            "Requirement already satisfied: ipykernel>=4.10.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (6.29.5)\n",
            "Requirement already satisfied: ipython>=5.5.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (8.31.0)\n",
            "Requirement already satisfied: dash>=1.0.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (2.18.2)\n",
            "Requirement already satisfied: dash-core-components>=1.0.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (2.0.0)\n",
            "Requirement already satisfied: dash-html-components>=1.0.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (2.0.0)\n",
            "Requirement already satisfied: dash-table>=4.1.0 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (5.0.0)\n",
            "Requirement already satisfied: dash-cytoscape>=0.1.1 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (1.0.2)\n",
            "Requirement already satisfied: gevent>=1.3.6 in /usr/local/lib/python3.10/site-packages (from interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (24.11.1)\n",
            "Requirement already satisfied: commonmark<0.10.0,>=0.9.0 in /usr/local/lib/python3.10/site-packages (from rich==12.6.0->smartprint==1.0.5->-r Urbanscales/requirements.txt (line 7)) (0.9.1)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.6.0 in /usr/local/lib/python3.10/site-packages (from rich==12.6.0->smartprint==1.0.5->-r Urbanscales/requirements.txt (line 7)) (2.18.0)\n",
            "Requirement already satisfied: async-lru>=1.0.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.0.4)\n",
            "Requirement already satisfied: httpx>=0.25.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (0.28.1)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (5.7.2)\n",
            "Requirement already satisfied: jupyter-lsp>=2.0.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.2.5)\n",
            "Requirement already satisfied: jupyter-server<3,>=2.4.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.15.0)\n",
            "Requirement already satisfied: jupyterlab-server<3,>=2.27.1 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.27.3)\n",
            "Requirement already satisfied: notebook-shim>=0.2 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (0.2.4)\n",
            "Requirement already satisfied: setuptools>=40.8.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (68.2.2)\n",
            "Requirement already satisfied: tomli>=1.2.2 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.2.1)\n",
            "Requirement already satisfied: tornado>=6.2.0 in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (6.4.2)\n",
            "Requirement already satisfied: traitlets in /usr/local/lib/python3.10/site-packages (from jupyterlab->-r Urbanscales/requirements.txt (line 12)) (5.14.3)\n",
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            "Requirement already satisfied: executing>=1.2.0 in /usr/local/lib/python3.10/site-packages (from stack_data->ipython>=5.5.0->interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (2.1.0)\n",
            "Requirement already satisfied: asttokens>=2.1.0 in /usr/local/lib/python3.10/site-packages (from stack_data->ipython>=5.5.0->interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (3.0.0)\n",
            "Requirement already satisfied: pure-eval in /usr/local/lib/python3.10/site-packages (from stack_data->ipython>=5.5.0->interpret-core[dash,debug,linear,notebook,plotly,sensitivity,shap]==0.5.1->interpret==0.5.1->-r Urbanscales/requirements.txt (line 30)) (0.2.3)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/site-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi>=21.1->jupyter-server<3,>=2.4.0->jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.21)\n",
            "Requirement already satisfied: arrow>=0.15.0 in /usr/local/lib/python3.10/site-packages (from isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->jupyterlab->-r Urbanscales/requirements.txt (line 12)) (1.3.0)\n",
            "Requirement already satisfied: types-python-dateutil>=2.8.10 in /usr/local/lib/python3.10/site-packages (from arrow>=0.15.0->isoduration->jsonschema[format-nongpl]>=4.18.0->jupyter-events>=0.11.0->jupyter-server<3,>=2.4.0->jupyterlab->-r Urbanscales/requirements.txt (line 12)) (2.9.0.20241206)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Change line 20 in config file to:\n",
        "# BASE_FOLDER_local = \"/content/Urbanscales\"\n",
        "# and\n",
        "# RUNNING_ON_LOCAL = True\n",
        "\n",
        "# Alternatively:\n",
        "# Change line 33-36 to:\n",
        "# elif cur_dir.split(\"/\")[1] == \"content\":\n",
        "#     BASE_FOLDER = BASE_FOLDER_local\n",
        "#     RUNNING_ON_LOCAL = True\n",
        "#     RUNNING_ON_SERVER = False"
      ],
      "metadata": {
        "id": "mSlkIv367KNH"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "FE4-bLme7eU8"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%cd Urbanscales/urbanscales\n",
        "! pwd\n",
        "# Output should be: \"/content/Urbanscales/urbanscales\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IAvwYpuC92Q7",
        "outputId": "17c54ea8-14b1-4a89-a823-e6a0ae691288"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/Urbanscales/urbanscales\n",
            "/content/Urbanscales/urbanscales\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! python Pipeline.py 0 \"RECURRENT\" > \"RECURRENTcity0.csv\" &"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3a9Mqcr39TW8",
        "outputId": "06096046-5745-4a0a-fc40-b226b01330ac"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/Urbanscales/urbanscales/io/../../urbanscales/preprocessing/tile.py:49: UserWarning: Allowing empty graph tile\n",
            "  warnings.warn(\"Allowing empty graph tile\")\n",
            "/usr/local/lib/python3.10/site-packages/osmnx/utils_graph.py:88: FutureWarning: You are adding a column named 'geometry' to a GeoDataFrame constructed without an active geometry column. Currently, this automatically sets the active geometry column to 'geometry' but in the future that will no longer happen. Instead, either provide geometry to the GeoDataFrame constructor (GeoDataFrame(... geometry=GeoSeries()) or use `set_geometry('geometry')` to explicitly set the active geometry column.\n",
            "  gdf_edges[\"geometry\"] = np.nan\n",
            " Reading JF file: 100% 6485/6485 [03:00<00:00, 35.88it/s]\n",
            "Plotting the linestrings for visualisation: 100% 6484/6484 [00:01<00:00, 5700.87it/s]\n",
            "Plotting the linestrings for visualisation:   0% 0/6484 [00:00<?, ?it/s]/content/Urbanscales/urbanscales/io/speed_data.py:278: ShapelyDeprecationWarning: Iteration over multi-part geometries is deprecated and will be removed in Shapely 2.0. Use the `geoms` property to access the constituent parts of a multi-part geometry.\n",
            "  for linestring in multiline:\n",
            "Plotting the linestrings for visualisation: 100% 6484/6484 [00:58<00:00, 110.54it/s]\n",
            "Creating list of bboxes.. : 2500it [00:00, 308069.45it/s]\n",
            "Iterating over bboxes: 100% 2500/2500 [01:32<00:00, 26.92it/s]\n",
            "Converting subgraphs to Tiles:   1% 13/2500 [00:14<57:57,  1.40s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 413.38it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 446.87it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 439.47it/s]\n",
            "Converting subgraphs to Tiles:   1% 32/2500 [00:19<17:49,  2.31it/s]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 383.77it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 370.06it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 349.95it/s]\n",
            "Converting subgraphs to Tiles:   1% 33/2500 [00:22<25:00,  1.64it/s]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 1543.30it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 964.35it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 1699.78it/s]\n",
            "Converting subgraphs to Tiles:   1% 34/2500 [00:26<34:55,  1.18it/s]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 207.17it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 219.39it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 214.87it/s]\n",
            "Converting subgraphs to Tiles:   1% 35/2500 [00:30<46:27,  1.13s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 514.08it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 291.39it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 310.43it/s]\n",
            "Converting subgraphs to Tiles:   1% 36/2500 [00:38<1:23:47,  2.04s/it]\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 131.31it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 251.45it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 242.17it/s]\n",
            "Converting subgraphs to Tiles:   1% 37/2500 [00:43<1:38:16,  2.39s/it]\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 121.07it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 112.41it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 108.72it/s]\n",
            "Converting subgraphs to Tiles:   2% 38/2500 [00:48<1:56:57,  2.85s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 284.62it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 143.52it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 135.62it/s]\n",
            "Converting subgraphs to Tiles:   2% 39/2500 [00:53<2:17:27,  3.35s/it]\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 164.78it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
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            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 171.40it/s]\n",
            "Converting subgraphs to Tiles:   2% 52/2500 [01:29<1:57:19,  2.88s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 442.14it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 236.31it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 264.53it/s]\n",
            "Converting subgraphs to Tiles:   3% 82/2500 [01:33<14:29,  2.78it/s]  \n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
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            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
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            "\n",
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            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 181.51it/s]\n",
            "Converting subgraphs to Tiles:   3% 83/2500 [01:37<20:23,  1.98it/s]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 900.12it/s]\n",
            "\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 933.55it/s]\n",
            "Converting subgraphs to Tiles:   3% 84/2500 [01:39<25:29,  1.58it/s]\n",
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            "\n",
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            "Converting subgraphs to Tiles:   3% 85/2500 [01:43<33:27,  1.20it/s]\n",
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            "\n",
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            "Converting subgraphs to Tiles:   3% 86/2500 [01:47<45:12,  1.12s/it]\n",
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            "Converting subgraphs to Tiles:   4% 88/2500 [01:52<1:01:06,  1.52s/it]\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:   4% 89/2500 [01:54<1:08:20,  1.70s/it]\n",
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            "Converting subgraphs to Tiles:   5% 132/2500 [02:29<11:55,  3.31it/s]  \n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:   5% 133/2500 [02:32<17:18,  2.28it/s]\n",
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            "\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:   7% 184/2500 [03:37<45:24,  1.18s/it]\n",
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            "Converting subgraphs to Tiles:   7% 185/2500 [03:40<54:43,  1.42s/it]\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:   7% 186/2500 [03:46<1:22:34,  2.14s/it]\n",
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            "\n",
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            "Converting subgraphs to Tiles:   7% 187/2500 [03:49<1:32:25,  2.40s/it]\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:   8% 188/2500 [03:51<1:29:47,  2.33s/it]\n",
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            "Converting subgraphs to Tiles:   9% 225/2500 [04:33<15:38,  2.42it/s]  \n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:  81% 2020/2500 [53:08<13:10,  1.65s/it]\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:  81% 2021/2500 [53:11<17:09,  2.15s/it]\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:  95% 2372/2500 [58:25<05:00,  2.35s/it]\n",
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            "\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 802.44it/s]\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "Converting subgraphs to Tiles:  97% 2415/2500 [59:24<05:43,  4.04s/it]\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 1513.94it/s]\n",
            "Converting subgraphs to Tiles:  97% 2424/2500 [59:46<02:21,  1.86s/it]\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 870.58it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 912.22it/s]\n",
            "Converting subgraphs to Tiles:  97% 2425/2500 [59:49<02:38,  2.11s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 446.59it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 454.44it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 433.92it/s]\n",
            "Converting subgraphs to Tiles:  97% 2426/2500 [59:52<02:59,  2.42s/it]\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 498.35it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 502.22it/s]\n",
            "Converting subgraphs to Tiles:  98% 2462/2500 [1:00:28<01:07,  1.77s/it]\n",
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            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 673.72it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 675.39it/s]\n",
            "Converting subgraphs to Tiles:  99% 2463/2500 [1:00:30<01:10,  1.91s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 240.14it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 358.34it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 370.75it/s]\n",
            "Converting subgraphs to Tiles:  99% 2464/2500 [1:00:33<01:13,  2.04s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 215.82it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 125.03it/s]\n",
            "\n",
            "Computing betweenness using iterations..:   0% 0/20 [00:00<?, ?it/s]\u001b[A\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 123.22it/s]\n",
            "Converting subgraphs to Tiles:  99% 2465/2500 [1:00:37<01:28,  2.53s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 234.75it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 399.16it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 367.62it/s]\n",
            "Converting subgraphs to Tiles:  99% 2466/2500 [1:00:41<01:44,  3.06s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 384.56it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 422.35it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 410.19it/s]\n",
            "Converting subgraphs to Tiles:  99% 2467/2500 [1:00:44<01:38,  3.00s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 384.71it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 486.69it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 464.95it/s]\n",
            "Converting subgraphs to Tiles:  99% 2475/2500 [1:00:52<00:28,  1.13s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 2788.49it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 2574.93it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 2618.98it/s]\n",
            "Converting subgraphs to Tiles:  99% 2476/2500 [1:00:54<00:30,  1.29s/it]\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 1022.64it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 985.48it/s]\n",
            "\n",
            "Computing betweenness using iterations..: 100% 20/20 [00:00<00:00, 1009.80it/s]\n",
            "Converting subgraphs to Tiles: 100% 2500/2500 [1:01:03<00:00,  1.47s/it]\n",
            "Processing for different ToDs:   0% 0/1 [00:00<?, ?it/s]/content/Urbanscales/urbanscales/preprocessing/prep_speed.py:369: FutureWarning: The `op` parameter is deprecated and will be removed in a future release. Please use the `predicate` parameter instead.\n",
            "  scl_jf = ScaleJF(scl, sd, tod=tod)\n",
            "Processing for different ToDs: 100% 1/1 [00:40<00:00, 40.30s/it]\n",
            "Training vectors for city, scale, tod: Auckland-50-[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]: 100% 895/895 [01:46<00:00,  8.41it/s]\n",
            "Only specify one of 'column' or 'color'. Using 'color'.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! tail -n 100 RECURRENTcity0.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UOj0_hSvH6-3",
        "outputId": "2affbef8-ba7e-4d99-8eec-12179530fae6"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "edge_length_total                0.000000\n",
            "k_avg                            0.000000\n",
            "global_betweenness               0.000000\n",
            "dtype: float64\n",
            "city, scale, tod, config.shift_tile_marker, X.shape, Y.shape : Auckland 50 [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] 3 (895, 14) (895,)\n",
            "X.shape, Y.shape, \"Inside the model-fitting function\" : (895, 14) (895,) Inside the model-fitting function\n",
            "Dict: model_trials.best_params_\n",
            "Key: Value\n",
            "{'randomforestregressor__max_depth': 10,\n",
            " 'randomforestregressor__max_features': 'sqrt',\n",
            " 'randomforestregressor__n_estimators': 200}\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 0 streets_per_node_avg 0.03234014780774901 0.04669822296525053 1.4439706102413417\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 1 streets_per_node_count_4 0.06453465747983582 0.08150182166387009 1.2629155378927321\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 2 k_avg 0.049990724265488784 0.02160139443560114 0.43210805110326667\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 3 streets_per_node_count_5 0.00574994956397544 0.011121272755098098 1.9341513575658211\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 4 betweenness -0.06288063543081684 0.021684446107053522 -0.34485093794752436\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 5 circuity_avg -0.10698430522062884 0.12124819098383918 -1.1333268999952337\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 6 metered_count 0.0465256384793219 0.09269167907107866 1.992270973611142\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 7 streets_per_node_count_3 0.09833735590008237 0.14176979315070953 1.4416677350442242\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 8 mean_lanes -0.04081497423725496 0.027453107583239968 -0.6726234206018782\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 9 m 0.049933537751471885 0.06805468484591248 1.3629053319761315\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 10 streets_per_node_count_2 0.021132342821346958 0.028263247887174638 1.3374403456404442\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 11 n 0.07157862888379343 0.11064212658296205 1.5457424696215887\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 12 total_crossings 0.046408361125117384 0.06096263053661266 1.3136130873541694\n",
            "RECURRENT recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 13 non_metered_count 0.01596649409442924 0.014656629787389318 0.917961682803181\n",
            "SHAP Values for each feature:\n",
            "Slug                           Feature Name         Mean Abs SHAP Value\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 streets_per_node_avg          0.0234\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 streets_per_node_count_4          0.0407\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 k_avg                         0.0109\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 streets_per_node_count_5          0.0027\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 betweenness                   0.0108\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 circuity_avg                  0.0603\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 metered_count                 0.0285\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 streets_per_node_count_3          0.0657\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 mean_lanes                    0.0134\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 m                             0.0333\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 streets_per_node_count_2          0.0141\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 n                             0.0528\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 total_crossings               0.0294\n",
            "SHAP-- recurrent-auckland-50-1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24 non_metered_count             0.0064\n",
            "RECURRENT Auckland 50 LR 0.38609585544741254 XpVar\n",
            "RECURRENT Auckland 50 RF 0.43040886059336947 XpVar\n",
            "RECURRENT Auckland 50 LLR 4.7580986769649563e-17 XpVar\n",
            "RECURRENT Auckland 50 RLR 0.38552698007071456 XpVar\n",
            "RECURRENT Auckland 50 LR 0.10339296160933775 MSE\n",
            "RECURRENT Auckland 50 RF 0.09615870788432702 MSE\n",
            "RECURRENT Auckland 50 LLR 0.16213363054194724 MSE\n",
            "RECURRENT Auckland 50 RLR 0.10346251774587209 MSE\n",
            "RECURRENT Auckland 50 LR 0.3818593041011788 R2\n",
            "RECURRENT Auckland 50 RF 0.4258633582450885 R2\n",
            "RECURRENT Auckland 50 LLR -0.007838223976980403 R2\n",
            "RECURRENT Auckland 50 RLR 0.3810963297208959 R2\n",
            "t_spatial, t_non_spatial, \"seconds\" : 2.1457672119140625e-06 116.55492782592773 seconds\n",
            "max_subgraph.nodes().__len__() : 213\n",
            "max_subgraph.nodes().__len__() : 213\n",
            "max_subgraph.nodes().__len__() : 196\n",
            "max_subgraph.nodes().__len__() : 196\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 68\n",
            "max_subgraph.nodes().__len__() : 68\n",
            "max_subgraph.nodes().__len__() : 6\n",
            "max_subgraph.nodes().__len__() : 6\n",
            "max_subgraph.nodes().__len__() : 136\n",
            "max_subgraph.nodes().__len__() : 136\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 191\n",
            "max_subgraph.nodes().__len__() : 191\n",
            "max_subgraph.nodes().__len__() : 19\n",
            "max_subgraph.nodes().__len__() : 19\n",
            "max_subgraph.nodes().__len__() : 96\n",
            "max_subgraph.nodes().__len__() : 96\n",
            "max_subgraph.nodes().__len__() : 155\n",
            "max_subgraph.nodes().__len__() : 155\n",
            "max_subgraph.nodes().__len__() : 237\n",
            "max_subgraph.nodes().__len__() : 237\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 166\n",
            "max_subgraph.nodes().__len__() : 149\n",
            "max_subgraph.nodes().__len__() : 149\n",
            "\n",
            " Complete: python urbanscales/io/road_network.py\n",
            "\n",
            "\n",
            " Complete: python urbanscales/io/speed_data.py\n",
            "\n",
            "\n",
            " Complete: python urbanscales/preprocessing/prep_network.py\n",
            "\n",
            "\n",
            " Complete: python urbanscales/preprocessing/prep_speed.py\n",
            "\n",
            "\n",
            " Complete: python urbanscales/preprocessing/train_data.py\n",
            "\n",
            "\n",
            " Complete: python urbanscales/modelling/SHAP_analysis.py\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Run time considerations**\n",
        "\n",
        "* For each city, running a single scale takes approximately 1.5 hours on a single threaded computer 2.6 GHz and scales almost linearly with the number of threads. We have tested upto 20 threads for each city.\n",
        "\n",
        "* Recurrent and Non-recurrent congestion **CANNOT** be run in parallel since there is a risk of files being over-written\n",
        "\n",
        "* Multiple cities **CAN** be run in parallel. This can be easily achieved by running the script `bash run_multiple_cities_together.sh` inside urbanscales.\n"
      ],
      "metadata": {
        "id": "pWmcYFk80vOf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! cp RECURRENTcity1.csv ../urbanscales_results/"
      ],
      "metadata": {
        "id": "M6PbKLHHf0Ku"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%cd ../urbanscales_results/\n",
        "! bash extract_fig_1.sh\n",
        "! bash extract_fig_2.sh\n",
        "! bash extract_fig_3.sh"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oKQaWuKsgnI_",
        "outputId": "abca9f55-b821-4d81-e22e-8798fb85c833"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "grep: RECURRENTcity1.csv: No such file or directory\n",
            "grep: RECURRENTcity2.csv: No such file or directory\n",
            "grep: RECURRENTcity3.csv: No such file or directory\n",
            "grep: RECURRENTcity4.csv: No such file or directory\n",
            "grep: RECURRENTcity5.csv: No such file or directory\n",
            "grep: RECURRENTcity6.csv: No such file or directory\n",
            "grep: NONRECURRENTcity0.csv: No such file or directory\n",
            "grep: NONRECURRENTcity1.csv: No such file or directory\n",
            "grep: NONRECURRENTcity2.csv: No such file or directory\n",
            "grep: NONRECURRENTcity3.csv: No such file or directory\n",
            "grep: NONRECURRENTcity4.csv: No such file or directory\n",
            "grep: NONRECURRENTcity5.csv: No such file or directory\n",
            "grep: NONRECURRENTcity6.csv: No such file or directory\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Once all the csv files are generated, the data are extracted from the log files for plotting using the follwing three scripts inside `urbanscales_results` folder:\n",
        "* `bash extract_fig_1.sh`\n",
        "* `bash extract_fig_2.sh`\n",
        "* `bash extract_fig_3.sh`"
      ],
      "metadata": {
        "id": "yXFxkZKCpNYZ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Once the data are extracted, the scripts inside the urbanscales_results folder will create all the plots in the paper:\n",
        "\n",
        "* The script `recurrent_create_plots.py` will create all the plots for recurrent congestion and the\n",
        "\n",
        "* The script `nonrecurrent_create_plots.py` will create all the plots for recurrent congestion\n",
        "\n",
        "* For demonstration purposes, these can be run from inside our log files that are present inside the `results_from_log_files/UrbanscalesR3` folder.\n",
        "\n",
        "* Moreover, all latex tables in the paper and the SI can be generated using the python scripts inside the `results_from_log_files/UrbanscalesR3`"
      ],
      "metadata": {
        "id": "6CqsFKhZo_w9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! python recurrent_create_plots.py # and so on"
      ],
      "metadata": {
        "id": "Bq3TNDqilHd1"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "X94Q55VOmlnE"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}