7_Machine_Learning_Ligand_based_screening.ipynb

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      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "<a href=\"https://colab.research.google.com/github/shumshersubashgautam/Computer-Aided-Drug-Discovery-Learning/blob/main/7_Machine_Learning_Ligand_based_screening.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lBGbuR0pJCyT",
        "outputId": "81a1993f-f751-4c9b-889c-451f840d8075"
      },
      "outputs": [
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          "output_type": "stream",
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          "text": [
            "Cloning into 'teachopencadd'...\n",
            "remote: Enumerating objects: 17115, done.\u001b[K\n",
            "remote: Counting objects: 100% (2093/2093), done.\u001b[K\n",
            "remote: Compressing objects: 100% (969/969), done.\u001b[K\n",
            "remote: Total 17115 (delta 1309), reused 1786 (delta 1122), pack-reused 15022\u001b[K\n",
            "Receiving objects: 100% (17115/17115), 849.77 MiB | 14.83 MiB/s, done.\n",
            "Resolving deltas: 100% (11506/11506), done.\n",
            "Updating files: 100% (468/468), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/volkamerlab/teachopencadd.git"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Aim of this tutorial\n",
        "Clustering and classification of large scale chemical data is essential for navigation, analysis and knowledge discovery in a wide variety of chemical application domains in drug discovery.\n",
        "\n",
        "In the tutorial 5, we learned how to group molecules (clustering) and found that the molecules in one cluster look similar to each other and share a common scaffold. Besides visual inspection, we will learn here how to calculate the maximum substructure that a set of molecules has in common.\n",
        "\n",
        "Contents in Theory\n",
        "Introduction to identification of maximum common substructure in a set of molecules\n",
        "Detailed explanation of the FMCS algorithm\n",
        "Contents in Practical\n",
        "Load and draw molecules\n",
        "Run the FMCS algorithm with different input parameters\n",
        "A more diverse set: the EGFR compounds downloaded from ChEMBL\n",
        "Identification of MCS using interactive cut-off adaption\n",
        "References\n",
        "Dalke A, Hastings J., FMCS: a novel algorithm for the multiple MCS problem. J. Cheminf. 2013; 5 (Suppl 1): O6\n",
        "Raymond JW., Willet P., Maximum common subgraph isomorphism algorithms for the matching of chemical structures. J Comput Aided Mol Des. 2002 Jul; 16(7):521-33\n",
        "Dalke's website with info on algorithm\n",
        "RDKit Cookbook documentation on MCS\n",
        "Theory\n",
        "Introduction to identification of maximum common substructure in a set of molecules\n",
        "Maximum common substructure, highlighted\n",
        "\n",
        "The maximum common structure (MCS) is defined as the largest substructure that appears in two or more candidate molecules.\n",
        "\n",
        "Finding the MCS = maximum common subgraph isomorphism problem\n",
        "Has many applications in the field of cheminformatics: similarity search, hierarchical clustering, or molecule alignment\n",
        "Advantages:\n",
        "Intuitive\n",
        " shared structure among candidates likely to be important\n",
        "Provides insight into possible activity patterns\n",
        "Easy visualization by simply highlighting the substructure\n",
        "Details on MCS algorithms (see review: J Comput Aided Mol Des. 2002 Jul; 16(7):521-33)\n",
        "\n",
        "Determining an MCS between two or more graphs is an NP-complete problem\n",
        "Algorithms for exact determination as well as approximations exist\n",
        "Exact: Maximum-clique, backtracking, dynamic programming\n",
        "Approximate: Genetic algorithm, combinatorial optimization, fragment storage, ...\n",
        "Problem reduction: Simplify the molecular graphs\n",
        "Example of an implementation: FMCS algorithm\n",
        "\n",
        "Models MCS problem as a graph isomorphism problem\n",
        "Based on subgraph enumeration and subgraph isomorphism testing\n",
        "Detailed explanation of FMCS algorithm\n",
        "As explained in J. Cheminf. 2013; 5(Suppl 1): O6 and the respective RDKit FMCS documentation.\n",
        "\n",
        "The simplified algorithm description\n",
        "best_substructure = None\n",
        "pick one structure in the set as query, all other as targets\n",
        "for each substructure in the query:\n",
        "    convert into a SMARTS string based on the desired match properties\n",
        "    if SMARTS pattern exists in all of the targets:\n",
        "        then it is a common substructure\n",
        "        keep track of the maximum of such substructure\n",
        "This simple approach alone will usually take a long time, but there are certain tricks used to speed up the run time.\n",
        "\n",
        "Tricks to speed up the run time\n",
        "A) Bond elimination\n",
        "Remove bonds that cannot be part of the MCS\n",
        "Atom and bond type information has to be present in every input structure\n",
        "Bond type: string consisting of SMARTS of the first atom, the bond and the second atom\n",
        "Exclude all bond types not present in all input structures, delete respective edges\n",
        "Result: fragmented structures with all atom information, but fewer edges (bonds)\n",
        "B) Use the structure with the smallest largest fragment as the query\n",
        "Heuristic approach:\n",
        "Find largest fragment of each input structure\n",
        "Sort input structures ascending by number of bonds in largest fragment\n",
        "Solve ties with number of atoms or input order as alternative\n",
        "The structure with the smallest largest fragment becomes the query structure\n",
        "The ones from the other input structures are the targets\n",
        "C) Use a breadth-first search (BFS) and a priority queue to enumerate the fragment subgraphs\n",
        "C1\n",
        "\n",
        "Enumeration based on growing a so called seed\n",
        "Seed: atoms/bonds in current subgraph, exclusion set (bonds not applicable for growth)\n",
        "To prevent redundancy:\n",
        "Initial seed is first bond in the fragment, can potentially grow to size of whole fragment\n",
        "Second seed is second bond, is excluded from using the first bond\n",
        "Third seed starts from the third bond, excluded from using the first and second\n",
        "...\n",
        "C2\n",
        "\n",
        "Seed grows along connected bonds (not in exclusions set or already in seed)\n",
        "All growing possibilities are considered at every step\n",
        "E.g. if there are N possible bonds for extension,\n",
        " possible new seeds are added to queue\n",
        "Enumeration ends when there are no new bonds to add to subgraph (exclude seed from queue)\n",
        "Largest seed will be processed first\n",
        "D) Prune seeds not present in all of the other structures\n",
        "At each growth state\n",
        " check if new seed exists in all other structures\n",
        "Else: Exclude seed from queue\n",
        "E) Prune seeds without sufficient growing potential\n",
        "Evaluation of growth potential from exclusion list and possible edges for extension\n",
        "If potential smaller than current best subgraph\n",
        " exclude seed from queue\n",
        "Utilizing these approaches it is then trivial to keep track of the largest subgraph which corresponds to the maximum common substructure."
      ],
      "metadata": {
        "id": "jTll90hGceCv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install rdkit"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Mq_bMP4LOvU",
        "outputId": "c79d19f4-967d-4da4-c827-b8442fe4ec1f"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting rdkit\n",
            "  Downloading rdkit-2023.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (29.7 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m29.7/29.7 MB\u001b[0m \u001b[31m24.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from rdkit) (1.22.4)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.10/dist-packages (from rdkit) (8.4.0)\n",
            "Installing collected packages: rdkit\n",
            "Successfully installed rdkit-2023.3.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd /content/teachopencadd"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZZimVy9NdHm3",
        "outputId": "9e652ea1-5451-4b23-a4fd-e82dc3b88261"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/teachopencadd\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "RAUypOBHdKb-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!python setup.py install"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hZhMdY2xLhLK",
        "outputId": "ea68fc71-f7d1-49c9-cb9c-fa82b01bbe09"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T005_compound_clustering.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T005_compound_clustering.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T005_compound_clustering.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T005_compound_clustering.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T005_compound_clustering.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T005_compound_clustering.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T005_compound_clustering.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T005_compound_clustering.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T005_compound_clustering.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T005_compound_clustering.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T006_compound_maximum_common_substructures' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T006_compound_maximum_common_substructures' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T006_compound_maximum_common_substructures' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T006_compound_maximum_common_substructures' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T006_compound_maximum_common_substructures' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T006_compound_maximum_common_substructures.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T007_compound_activity_machine_learning' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T007_compound_activity_machine_learning' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T007_compound_activity_machine_learning' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T007_compound_activity_machine_learning' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T007_compound_activity_machine_learning' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T007_compound_activity_machine_learning.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T007_compound_activity_machine_learning.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T007_compound_activity_machine_learning.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T007_compound_activity_machine_learning.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T007_compound_activity_machine_learning.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T007_compound_activity_machine_learning.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T007_compound_activity_machine_learning.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T007_compound_activity_machine_learning.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T007_compound_activity_machine_learning.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T007_compound_activity_machine_learning.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T008_query_pdb' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T008_query_pdb' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T008_query_pdb' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T008_query_pdb' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T008_query_pdb' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T008_query_pdb.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T008_query_pdb.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T008_query_pdb.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T008_query_pdb.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T008_query_pdb.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T008_query_pdb.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T008_query_pdb.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T008_query_pdb.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T008_query_pdb.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T008_query_pdb.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T009_compound_ensemble_pharmacophores.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T010_binding_site_comparison' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T010_binding_site_comparison' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T010_binding_site_comparison' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T010_binding_site_comparison' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T010_binding_site_comparison' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T010_binding_site_comparison.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T010_binding_site_comparison.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T010_binding_site_comparison.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T010_binding_site_comparison.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T010_binding_site_comparison.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T010_binding_site_comparison.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T010_binding_site_comparison.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T010_binding_site_comparison.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T010_binding_site_comparison.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T010_binding_site_comparison.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T011_query_online_api_webservices' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T011_query_online_api_webservices' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T011_query_online_api_webservices' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T011_query_online_api_webservices' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T011_query_online_api_webservices' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T011_query_online_api_webservices.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T011_query_online_api_webservices.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T011_query_online_api_webservices.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T011_query_online_api_webservices.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T011_query_online_api_webservices.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T011_query_online_api_webservices.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T011_query_online_api_webservices.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T011_query_online_api_webservices.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T011_query_online_api_webservices.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T011_query_online_api_webservices.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T012_query_klifs' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T012_query_klifs' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T012_query_klifs' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T012_query_klifs' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T012_query_klifs' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T012_query_klifs.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T012_query_klifs.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T012_query_klifs.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T012_query_klifs.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T012_query_klifs.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T012_query_klifs.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T012_query_klifs.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T012_query_klifs.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T012_query_klifs.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T012_query_klifs.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T013_query_pubchem' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T013_query_pubchem' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T013_query_pubchem' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T013_query_pubchem' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T013_query_pubchem' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T013_query_pubchem.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T013_query_pubchem.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T013_query_pubchem.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T013_query_pubchem.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T013_query_pubchem.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T013_query_pubchem.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T013_query_pubchem.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T013_query_pubchem.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T013_query_pubchem.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T013_query_pubchem.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T014_binding_site_detection' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T014_binding_site_detection' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T014_binding_site_detection' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T014_binding_site_detection' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T014_binding_site_detection' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T014_binding_site_detection.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T014_binding_site_detection.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T014_binding_site_detection.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T014_binding_site_detection.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T014_binding_site_detection.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T014_binding_site_detection.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T014_binding_site_detection.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T014_binding_site_detection.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T014_binding_site_detection.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T014_binding_site_detection.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T015_protein_ligand_docking' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T015_protein_ligand_docking' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T015_protein_ligand_docking' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T015_protein_ligand_docking' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T015_protein_ligand_docking' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T015_protein_ligand_docking.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T015_protein_ligand_docking.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T015_protein_ligand_docking.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T015_protein_ligand_docking.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T015_protein_ligand_docking.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T015_protein_ligand_docking.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T015_protein_ligand_docking.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T015_protein_ligand_docking.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T015_protein_ligand_docking.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T015_protein_ligand_docking.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T016_protein_ligand_interactions' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T016_protein_ligand_interactions' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T016_protein_ligand_interactions' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T016_protein_ligand_interactions' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T016_protein_ligand_interactions' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T016_protein_ligand_interactions.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T016_protein_ligand_interactions.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T016_protein_ligand_interactions.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T016_protein_ligand_interactions.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T016_protein_ligand_interactions.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T016_protein_ligand_interactions.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T016_protein_ligand_interactions.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T016_protein_ligand_interactions.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T016_protein_ligand_interactions.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T016_protein_ligand_interactions.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T017_advanced_nglview_usage' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T017_advanced_nglview_usage' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T017_advanced_nglview_usage' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T017_advanced_nglview_usage' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T017_advanced_nglview_usage' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T017_advanced_nglview_usage.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T017_advanced_nglview_usage.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T017_advanced_nglview_usage.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T017_advanced_nglview_usage.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T017_advanced_nglview_usage.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T017_advanced_nglview_usage.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T017_advanced_nglview_usage.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T017_advanced_nglview_usage.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T017_advanced_nglview_usage.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T017_advanced_nglview_usage.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1.DockingPdbqt' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1.DockingPdbqt' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1.DockingPdbqt' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1.DockingPdbqt' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project1.DockingPdbqt' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2.DockingPdbqt' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2.DockingPdbqt' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2.DockingPdbqt' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2.DockingPdbqt' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.data.FrozenData.Project2.DockingPdbqt' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images.editable_images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images.editable_images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images.editable_images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images.editable_images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.images.editable_images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils.helpers' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils.helpers' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils.helpers' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils.helpers' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T018_automated_cadd_pipeline.utils.helpers' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T019_md_simulation' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T019_md_simulation' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T019_md_simulation' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T019_md_simulation' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T019_md_simulation' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T019_md_simulation.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T019_md_simulation.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T019_md_simulation.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T019_md_simulation.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T019_md_simulation.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T019_md_simulation.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T019_md_simulation.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T019_md_simulation.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T019_md_simulation.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T019_md_simulation.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T020_md_analysis' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T020_md_analysis' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T020_md_analysis' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T020_md_analysis' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T020_md_analysis' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T020_md_analysis.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T020_md_analysis.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T020_md_analysis.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T020_md_analysis.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T020_md_analysis.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T020_md_analysis.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T020_md_analysis.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T020_md_analysis.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T020_md_analysis.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T020_md_analysis.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T021_one_hot_encoding' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T021_one_hot_encoding' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T021_one_hot_encoding' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T021_one_hot_encoding' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T021_one_hot_encoding' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T021_one_hot_encoding.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T021_one_hot_encoding.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T021_one_hot_encoding.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T021_one_hot_encoding.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T021_one_hot_encoding.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T021_one_hot_encoding.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T021_one_hot_encoding.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T021_one_hot_encoding.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T021_one_hot_encoding.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T021_one_hot_encoding.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T022_ligand_based_screening_neural_network.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T023_what_is_a_kinase' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T023_what_is_a_kinase' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T023_what_is_a_kinase' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T023_what_is_a_kinase' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T023_what_is_a_kinase' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T023_what_is_a_kinase.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T023_what_is_a_kinase.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T023_what_is_a_kinase.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T023_what_is_a_kinase.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T023_what_is_a_kinase.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T023_what_is_a_kinase.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T023_what_is_a_kinase.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T023_what_is_a_kinase.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T023_what_is_a_kinase.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T023_what_is_a_kinase.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T024_kinase_similarity_sequence' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T024_kinase_similarity_sequence' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T024_kinase_similarity_sequence' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T024_kinase_similarity_sequence' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T024_kinase_similarity_sequence' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T024_kinase_similarity_sequence.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T024_kinase_similarity_sequence.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T024_kinase_similarity_sequence.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T024_kinase_similarity_sequence.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T024_kinase_similarity_sequence.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T024_kinase_similarity_sequence.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T024_kinase_similarity_sequence.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T024_kinase_similarity_sequence.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T024_kinase_similarity_sequence.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T024_kinase_similarity_sequence.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T025_kinase_similarity_kissim' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T025_kinase_similarity_kissim' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T025_kinase_similarity_kissim' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T025_kinase_similarity_kissim' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T025_kinase_similarity_kissim' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T025_kinase_similarity_kissim.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T025_kinase_similarity_kissim.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T025_kinase_similarity_kissim.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T025_kinase_similarity_kissim.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T025_kinase_similarity_kissim.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T025_kinase_similarity_kissim.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T025_kinase_similarity_kissim.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T025_kinase_similarity_kissim.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T025_kinase_similarity_kissim.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T025_kinase_similarity_kissim.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T026_kinase_similarity_ifp' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T026_kinase_similarity_ifp' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T026_kinase_similarity_ifp' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T026_kinase_similarity_ifp' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T026_kinase_similarity_ifp' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T026_kinase_similarity_ifp.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T026_kinase_similarity_ifp.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T026_kinase_similarity_ifp.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T026_kinase_similarity_ifp.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T026_kinase_similarity_ifp.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T026_kinase_similarity_ifp.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T026_kinase_similarity_ifp.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T026_kinase_similarity_ifp.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T026_kinase_similarity_ifp.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T026_kinase_similarity_ifp.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T027_kinase_similarity_ligand_profile.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T028_kinase_similarity_compare_perspectives.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T033_molecular_representations' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T033_molecular_representations' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T033_molecular_representations' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T033_molecular_representations' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T033_molecular_representations' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T033_molecular_representations.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T033_molecular_representations.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T033_molecular_representations.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T033_molecular_representations.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T033_molecular_representations.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T034_recurrent_neural_networks' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T034_recurrent_neural_networks' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T034_recurrent_neural_networks' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T034_recurrent_neural_networks' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T034_recurrent_neural_networks' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T034_recurrent_neural_networks.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T034_recurrent_neural_networks.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T034_recurrent_neural_networks.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T034_recurrent_neural_networks.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T034_recurrent_neural_networks.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T034_recurrent_neural_networks.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T034_recurrent_neural_networks.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T034_recurrent_neural_networks.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T034_recurrent_neural_networks.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T034_recurrent_neural_networks.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T035_graph_neural_networks' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T035_graph_neural_networks' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T035_graph_neural_networks' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T035_graph_neural_networks' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T035_graph_neural_networks' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T035_graph_neural_networks.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T035_graph_neural_networks.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T035_graph_neural_networks.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T035_graph_neural_networks.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T035_graph_neural_networks.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T036_e3_equivariant_gnn' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T036_e3_equivariant_gnn' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T036_e3_equivariant_gnn' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T036_e3_equivariant_gnn' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T036_e3_equivariant_gnn' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T036_e3_equivariant_gnn.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T036_e3_equivariant_gnn.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T036_e3_equivariant_gnn.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T036_e3_equivariant_gnn.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T036_e3_equivariant_gnn.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T036_e3_equivariant_gnn.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T036_e3_equivariant_gnn.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T036_e3_equivariant_gnn.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T036_e3_equivariant_gnn.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T036_e3_equivariant_gnn.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T037_uncertainty_estimation' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T037_uncertainty_estimation' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T037_uncertainty_estimation' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T037_uncertainty_estimation' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T037_uncertainty_estimation' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T037_uncertainty_estimation.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T037_uncertainty_estimation.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T037_uncertainty_estimation.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T037_uncertainty_estimation.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T037_uncertainty_estimation.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T037_uncertainty_estimation.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T037_uncertainty_estimation.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T037_uncertainty_estimation.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T037_uncertainty_estimation.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T037_uncertainty_estimation.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.data' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.data' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.data' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.data' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.data' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.images' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.images' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.images' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.images' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.images' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.utils' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.utils' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.utils' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.utils' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.talktorials.T038_protein_ligand_interaction_prediction.utils' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "/usr/local/lib/python3.10/dist-packages/setuptools/command/build_py.py:201: _Warning: Package 'teachopencadd.tests' is absent from the `packages` configuration.\n",
            "!!\n",
            "\n",
            "        ********************************************************************************\n",
            "        ############################\n",
            "        # Package would be ignored #\n",
            "        ############################\n",
            "        Python recognizes 'teachopencadd.tests' as an importable package[^1],\n",
            "        but it is absent from setuptools' `packages` configuration.\n",
            "\n",
            "        This leads to an ambiguous overall configuration. If you want to distribute this\n",
            "        package, please make sure that 'teachopencadd.tests' is explicitly added\n",
            "        to the `packages` configuration field.\n",
            "\n",
            "        Alternatively, you can also rely on setuptools' discovery methods\n",
            "        (for example by using `find_namespace_packages(...)`/`find_namespace:`\n",
            "        instead of `find_packages(...)`/`find:`).\n",
            "\n",
            "        You can read more about \"package discovery\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html\n",
            "\n",
            "        If you don't want 'teachopencadd.tests' to be distributed and are\n",
            "        already explicitly excluding 'teachopencadd.tests' via\n",
            "        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,\n",
            "        you can try to use `exclude_package_data`, or `include-package-data=False` in\n",
            "        combination with a more fine grained `package-data` configuration.\n",
            "\n",
            "        You can read more about \"package data files\" on setuptools documentation page:\n",
            "\n",
            "        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html\n",
            "\n",
            "\n",
            "        [^1]: For Python, any directory (with suitable naming) can be imported,\n",
            "              even if it does not contain any `.py` files.\n",
            "              On the other hand, currently there is no concept of package data\n",
            "              directory, all directories are treated like packages.\n",
            "        ********************************************************************************\n",
            "\n",
            "!!\n",
            "  check.warn(importable)\n",
            "creating build/lib/teachopencadd/talktorials\n",
            "creating build/lib/teachopencadd/talktorials/T000_template\n",
            "copying teachopencadd/talktorials/T000_template/README.md -> build/lib/teachopencadd/talktorials/T000_template\n",
            "copying teachopencadd/talktorials/T000_template/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T000_template\n",
            "creating build/lib/teachopencadd/talktorials/T000_template/data\n",
            "copying teachopencadd/talktorials/T000_template/data/README.md -> build/lib/teachopencadd/talktorials/T000_template/data\n",
            "creating build/lib/teachopencadd/talktorials/T000_template/images\n",
            "copying teachopencadd/talktorials/T000_template/images/README.md -> build/lib/teachopencadd/talktorials/T000_template/images\n",
            "copying teachopencadd/talktorials/T000_template/images/chembl_webservices_schema_diagram.jpg -> build/lib/teachopencadd/talktorials/T000_template/images\n",
            "creating build/lib/teachopencadd/talktorials/T001_query_chembl\n",
            "copying teachopencadd/talktorials/T001_query_chembl/README.md -> build/lib/teachopencadd/talktorials/T001_query_chembl\n",
            "copying teachopencadd/talktorials/T001_query_chembl/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T001_query_chembl\n",
            "creating build/lib/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying teachopencadd/talktorials/T001_query_chembl/data/EGFR_bioactivities_CHEMBL27.csv.zip -> build/lib/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying teachopencadd/talktorials/T001_query_chembl/data/EGFR_compounds.csv -> build/lib/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying teachopencadd/talktorials/T001_query_chembl/data/EGFR_compounds_ea055ef.csv -> build/lib/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying teachopencadd/talktorials/T001_query_chembl/data/README.md -> build/lib/teachopencadd/talktorials/T001_query_chembl/data\n",
            "creating build/lib/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying teachopencadd/talktorials/T001_query_chembl/images/README.md -> build/lib/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying teachopencadd/talktorials/T001_query_chembl/images/Wiki_Example_IC50_curve_demonstrating_visually_how_IC50_is_derived.png -> build/lib/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying teachopencadd/talktorials/T001_query_chembl/images/chembl_webservices_schema_diagram.jpg -> build/lib/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying teachopencadd/talktorials/T001_query_chembl/images/chemble_table1.png -> build/lib/teachopencadd/talktorials/T001_query_chembl/images\n",
            "creating build/lib/teachopencadd/talktorials/T002_compound_adme\n",
            "copying teachopencadd/talktorials/T002_compound_adme/README.md -> build/lib/teachopencadd/talktorials/T002_compound_adme\n",
            "copying teachopencadd/talktorials/T002_compound_adme/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T002_compound_adme\n",
            "creating build/lib/teachopencadd/talktorials/T002_compound_adme/data\n",
            "copying teachopencadd/talktorials/T002_compound_adme/data/EGFR_compounds_lipinski.csv -> build/lib/teachopencadd/talktorials/T002_compound_adme/data\n",
            "copying teachopencadd/talktorials/T002_compound_adme/data/README.md -> build/lib/teachopencadd/talktorials/T002_compound_adme/data\n",
            "creating build/lib/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying teachopencadd/talktorials/T002_compound_adme/images/README.md -> build/lib/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying teachopencadd/talktorials/T002_compound_adme/images/adme.png -> build/lib/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying teachopencadd/talktorials/T002_compound_adme/images/radarplot.png -> build/lib/teachopencadd/talktorials/T002_compound_adme/images\n",
            "creating build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures\n",
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            "copying teachopencadd/talktorials/T003_compound_unwanted_substructures/data/EGFR_compounds_lipinski_noPAINS_noBrenk.csv -> build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
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            "creating build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "copying teachopencadd/talktorials/T003_compound_unwanted_substructures/images/PAINS_Figure.jpeg -> build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "copying teachopencadd/talktorials/T003_compound_unwanted_substructures/images/README.md -> build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "creating build/lib/teachopencadd/talktorials/T004_compound_similarity\n",
            "copying teachopencadd/talktorials/T004_compound_similarity/README.md -> build/lib/teachopencadd/talktorials/T004_compound_similarity\n",
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            "creating build/lib/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying teachopencadd/talktorials/T005_compound_clustering/data/README.md -> build/lib/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying teachopencadd/talktorials/T005_compound_clustering/data/cluster_dist_cutoff_0.20.png -> build/lib/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying teachopencadd/talktorials/T005_compound_clustering/data/cluster_representatives.svg -> build/lib/teachopencadd/talktorials/T005_compound_clustering/data\n",
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            "creating build/lib/teachopencadd/talktorials/T005_compound_clustering/images\n",
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            "copying teachopencadd/talktorials/T006_compound_maximum_common_substructures/data/mcs_largest_cluster.svg -> build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data\n",
            "creating build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images\n",
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            "creating build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning\n",
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            "copying teachopencadd/talktorials/T007_compound_activity_machine_learning/images/ML_overview.png -> build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/images\n",
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            "creating build/lib/teachopencadd/talktorials/T008_query_pdb\n",
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            "copying teachopencadd/talktorials/T008_query_pdb/data/5HG8.pdb -> build/lib/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying teachopencadd/talktorials/T008_query_pdb/data/5HG8_lig.pdb -> build/lib/teachopencadd/talktorials/T008_query_pdb/data\n",
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            "creating build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores\n",
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            "creating build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/README.md -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
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            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_ensemble_ph4.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_acceptors.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_acceptors.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_donors.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_hydrophobics.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_donors.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_hydrophobics.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "creating build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images\n",
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            "copying teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images/target+ligand+pharma_3x_feather.png -> build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images\n",
            "creating build/lib/teachopencadd/talktorials/T010_binding_site_comparison\n",
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            "creating build/lib/teachopencadd/talktorials/T011_query_online_api_webservices\n",
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            "copying teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2-formats.jpg -> build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2-sequence.jpg -> build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2.jpg -> build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "creating build/lib/teachopencadd/talktorials/T012_query_klifs\n",
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            "creating build/lib/teachopencadd/talktorials/T013_query_pubchem\n",
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            "creating build/lib/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying teachopencadd/talktorials/T013_query_pubchem/data/README.md -> build/lib/teachopencadd/talktorials/T013_query_pubchem/data\n",
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            "copying teachopencadd/talktorials/T014_binding_site_detection/images/Figure2_DetectionMethods_scale05.png -> build/lib/teachopencadd/talktorials/T014_binding_site_detection/images\n",
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            "creating build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions\n",
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            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions\n",
            "creating build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/data/3poz.pdb -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/data/README.md -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "creating build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/images/3POZ_PLIP.png -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/images/README.md -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying teachopencadd/talktorials/T016_protein_ligand_interactions/images/protein_ligand_non_covalent.gif -> build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "creating build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/README.md -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "creating build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/data/1ARM.pdb -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/data/README.md -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "creating build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/images/README.md -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/images/nglview_ngl_gui.png -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying teachopencadd/talktorials/T017_advanced_nglview_usage/images/nglview_picking.gif -> build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/InputData_Template.csv -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/PipelineInputData_Project1.csv -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/FrozenPubchemQuery.csv -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/3W32_extracted_protein_ready_for_docking.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_103148.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_11256587.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_11292933.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_1530.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_1935.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_214347.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_2426.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_2435.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_5011.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_53462.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_5546.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_57469.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62274.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62275.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62389.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62805.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_6451164.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_65997.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_675.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_7019.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_84759.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/FrozenPubchemQuery.csv -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/3W32_extracted_protein_ready_for_docking.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_11292933.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_125564.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_25166913.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_2719.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_2723754.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_28693.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_28864.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_41781.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443884.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443951.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443955.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_47811.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_53276.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_54746.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_57469.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_5761.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_60149.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_6089.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_8226.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_9681.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_9931954.pdbqt -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/binding_site.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/chemical_descriptors.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/docking_poses.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/dogsitescorer.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/drug_design_pipeline.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/interaction_pattern.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/lead_optimization_pipeline_classes.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/pipeline_io.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/sb_vs_pipeline.png -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/README.md -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/chemical_structures_for_figures_1_5_10.cdxml -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/fig3.pse -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/pipeline_io.pptx -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline.pptx -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_binding_site.pse -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_docking_1.pse -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_docking_2.pse -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_protein.pse -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/__init__.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/binding_site_detection.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/consts.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/docking.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/frozen_data.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/interaction_analysis.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/lead_optimization_pipeline.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/ligand.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/ligand_similarity_search.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/optimized_ligands.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/protein.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/specs.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "creating build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/dogsitescorer.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/io.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/nglview.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/obabel.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/pdb.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/plip.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/pubchem.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/rdkit.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/smina.py -> build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "creating build/lib/teachopencadd/talktorials/T019_md_simulation\n",
            "copying teachopencadd/talktorials/T019_md_simulation/README.md -> build/lib/teachopencadd/talktorials/T019_md_simulation\n",
            "copying teachopencadd/talktorials/T019_md_simulation/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T019_md_simulation\n",
            "creating build/lib/teachopencadd/talktorials/T019_md_simulation/data\n",
            "copying teachopencadd/talktorials/T019_md_simulation/data/README.md -> build/lib/teachopencadd/talktorials/T019_md_simulation/data\n",
            "creating build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying teachopencadd/talktorials/T019_md_simulation/images/3poz_assembly-1.jpeg -> build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying teachopencadd/talktorials/T019_md_simulation/images/MD_rotor_250K_1ns.gif -> build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying teachopencadd/talktorials/T019_md_simulation/images/MD_water.gif -> build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying teachopencadd/talktorials/T019_md_simulation/images/MM_PEF.png -> build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying teachopencadd/talktorials/T019_md_simulation/images/README.md -> build/lib/teachopencadd/talktorials/T019_md_simulation/images\n",
            "creating build/lib/teachopencadd/talktorials/T020_md_analysis\n",
            "copying teachopencadd/talktorials/T020_md_analysis/README.md -> build/lib/teachopencadd/talktorials/T020_md_analysis\n",
            "copying teachopencadd/talktorials/T020_md_analysis/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T020_md_analysis\n",
            "creating build/lib/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying teachopencadd/talktorials/T020_md_analysis/data/README.md -> build/lib/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying teachopencadd/talktorials/T020_md_analysis/data/topology.pdb -> build/lib/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying teachopencadd/talktorials/T020_md_analysis/data/trajectory.xtc -> build/lib/teachopencadd/talktorials/T020_md_analysis/data\n",
            "creating build/lib/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying teachopencadd/talktorials/T020_md_analysis/images/CADD_Hbonds.png -> build/lib/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying teachopencadd/talktorials/T020_md_analysis/images/README.md -> build/lib/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying teachopencadd/talktorials/T020_md_analysis/images/model.gif -> build/lib/teachopencadd/talktorials/T020_md_analysis/images\n",
            "creating build/lib/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/README.md -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "creating build/lib/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/data/CHEMBL25_activities_EGFR.csv -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/data/README.md -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "creating build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/images/OneHotEncoding.png -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/images/OneHotEncoding_eg.png -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/images/README.md -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/images/computer_data.jpeg -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying teachopencadd/talktorials/T021_one_hot_encoding/images/label_encoding_example.png -> build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "creating build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/README.md -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "creating build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/ANN_model.hdf5 -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/CHEMBL25_activities_EGFR.csv -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/README.md -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/best_weights.hdf5 -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/predicted_pIC50_df.csv -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/test.csv -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "creating build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/activation.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/basic_structure.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/drugs_similarity.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/leaky.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/neuron.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/relu.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/sigmoid.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/tanh.png -> build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "creating build/lib/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/README.md -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "creating build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/README.md -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/kinase_selection.csv -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/kinase_selection_xiong.csv -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/kinmap_n_activities_per_kinase.csv -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/kinmap_n_structures_per_kinase.csv -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/data/pipeline_configs.csv -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "creating build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/images/README.md -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/images/T023_kinase_structure.png -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_erlotinib_karaman.png -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_n_activities_per_kinase.png -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_n_structures_per_kinase.png -> build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "creating build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/README.md -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "creating build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/data/README.md -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/data/kinase_distance_matrix.csv -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/data/kinase_similarity_matrix.csv -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "creating build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/images/README.md -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/images/sequence_logo.png -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying teachopencadd/talktorials/T024_kinase_similarity_sequence/images/sequence_similarity.png -> build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "creating build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/README.md -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "creating build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/data/README.md -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/data/frozen_structure_klifs_ids.csv -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/data/kinase_distance_matrix.csv -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/data/kissim_fingerprints.csv -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "creating build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/images\n",
            "copying teachopencadd/talktorials/T025_kinase_similarity_kissim/images/README.md -> build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/images\n",
            "creating build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/README.md -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "creating build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/data/README.md -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/data/frozen_structure_klifs_ids.csv -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/data/kinase_distance_matrix.csv -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "creating build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/images/README.md -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "copying teachopencadd/talktorials/T026_kinase_similarity_ifp/images/T026_KLIFS_IFP.png -> build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "creating build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/README.md -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "creating build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/README.md -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/kinase_distance_matrix.csv -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/kinase_similarity_matrix.csv -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "creating build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images/README.md -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "copying teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images/kinmap_n_activities_per_kinase.png -> build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "creating build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/README.md -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "creating build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/README.md -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/dendrogram_sequence.svg -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/heatmap_sequence.svg -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "creating build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images\n",
            "copying teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images/README.md -> build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images\n",
            "creating build/lib/teachopencadd/talktorials/T033_molecular_representations\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/README.md -> build/lib/teachopencadd/talktorials/T033_molecular_representations\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T033_molecular_representations\n",
            "creating build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/README.md -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/butane.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/butane_and_isobutane.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/butanol_2enantiomer.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/caffeine_molecule.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/conformer.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/cpk.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/energy_landscape.jpeg -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/ethanol.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/graph1_graph2.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/isobutane.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/kinase_inhibitor.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying teachopencadd/talktorials/T033_molecular_representations/images/ribbon_diagram_tubby.png -> build/lib/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "creating build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "copying teachopencadd/talktorials/T034_recurrent_neural_networks/README.md -> build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "copying teachopencadd/talktorials/T034_recurrent_neural_networks/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "creating build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "copying teachopencadd/talktorials/T034_recurrent_neural_networks/data/README.md -> build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "copying teachopencadd/talktorials/T034_recurrent_neural_networks/data/qm9.csv.gz -> build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "creating build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/images\n",
            "copying teachopencadd/talktorials/T034_recurrent_neural_networks/images/rnn-unfolded-800.png -> build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/images\n",
            "creating build/lib/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/GCN_best-model-parameters.pt -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/GIN_best-model-parameters.pt -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/README.md -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "creating build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/batching-ex.png -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/gin_graphs.jpeg -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/gnn_overview.png -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/graph.jpeg -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/output_val.png -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying teachopencadd/talktorials/T035_graph_neural_networks/images/simple-graph.png -> build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "creating build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/README.md -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "creating build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/data/README.md -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/data/trained_egnn.pth -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/data/trained_gnn.pth -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "creating build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/images/2d_rotation_equivariance.png -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/images/README.md -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying teachopencadd/talktorials/T036_e3_equivariant_gnn/images/chembl_webservices_schema_diagram.jpg -> build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "creating build/lib/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/README.md -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "creating build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/data/README.md -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/data/x_test -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/data/x_train -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/data/y_test -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/data/y_train -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "creating build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/images/README.md -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/images/chembl_webservices_schema_diagram.jpg -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/images/nn.png -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying teachopencadd/talktorials/T037_uncertainty_estimation/images/nn.svg -> build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "creating build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/README.md -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/talktorial.ipynb -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "creating build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/KIBA.csv -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/final_model.pth -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/tmp.txt -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "creating build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/basic_structure.png -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/calphas.jpg -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/prot_graph_creation.png -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/train_perf.png -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "creating build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils/__init__.py -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "copying teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils/kiba_analysis.py -> build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "creating build/lib/teachopencadd/tests\n",
            "copying teachopencadd/tests/test_cli.py -> build/lib/teachopencadd/tests\n",
            "UPDATING build/lib/teachopencadd/_version.py\n",
            "set build/lib/teachopencadd/_version.py to '2023.05.2'\n",
            "creating build/bdist.linux-x86_64\n",
            "creating build/bdist.linux-x86_64/egg\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd\n",
            "copying build/lib/teachopencadd/_version.py -> build/bdist.linux-x86_64/egg/teachopencadd\n",
            "copying build/lib/teachopencadd/cli.py -> build/bdist.linux-x86_64/egg/teachopencadd\n",
            "copying build/lib/teachopencadd/__init__.py -> build/bdist.linux-x86_64/egg/teachopencadd\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/drugs_similarity.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/tanh.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/activation.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/sigmoid.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/relu.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/basic_structure.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/neuron.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images/leaky.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/images\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/CHEMBL25_activities_EGFR.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/ANN_model.hdf5 -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/best_weights.hdf5 -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/predicted_pIC50_df.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data/test.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/data\n",
            "copying build/lib/teachopencadd/talktorials/T022_ligand_based_screening_neural_network/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T022_ligand_based_screening_neural_network\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2-sequence.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/images/uniprot-sars-cov-2-formats.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/images\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/data\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices/data\n",
            "copying build/lib/teachopencadd/talktorials/T011_query_online_api_webservices/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T011_query_online_api_webservices\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_n_activities_per_kinase.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_erlotinib_karaman.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images/kinmap_n_structures_per_kinase.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/images/T023_kinase_structure.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/images\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/kinase_selection.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/kinmap_n_activities_per_kinase.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/kinmap_n_structures_per_kinase.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/pipeline_configs.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/data/kinase_selection_xiong.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase/data\n",
            "copying build/lib/teachopencadd/talktorials/T023_what_is_a_kinase/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T023_what_is_a_kinase\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/images/T026_KLIFS_IFP.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/images\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data/kinase_distance_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/data/frozen_structure_klifs_ids.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp/data\n",
            "copying build/lib/teachopencadd/talktorials/T026_kinase_similarity_ifp/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T026_kinase_similarity_ifp\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/heatmap_sequence.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data/dendrogram_sequence.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/data\n",
            "copying build/lib/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/images\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/images\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/images/docking_workflow.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/images\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/images/protein_ligand_complex.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/images\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/data\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking/data\n",
            "copying build/lib/teachopencadd/talktorials/T015_protein_ligand_docking/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T015_protein_ligand_docking\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/energy_landscape.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/conformer.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/butane_and_isobutane.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/kinase_inhibitor.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/ribbon_diagram_tubby.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/butanol_2enantiomer.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/cpk.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/isobutane.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/ethanol.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/graph1_graph2.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/caffeine_molecule.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/images/butane.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations/images\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations\n",
            "copying build/lib/teachopencadd/talktorials/T033_molecular_representations/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T033_molecular_representations\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images/nglview_picking.gif -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/images/nglview_ngl_gui.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/images\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/data/1ARM.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage/data\n",
            "copying build/lib/teachopencadd/talktorials/T017_advanced_nglview_usage/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T017_advanced_nglview_usage\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/ligand_similarity_search.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/interaction_analysis.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/__init__.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/consts.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/ligand.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/frozen_data.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/optimized_ligands.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/specs.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/protein.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/nglview.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/pdb.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/io.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/dogsitescorer.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/plip.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/smina.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/pubchem.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/obabel.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/rdkit.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/docking.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/binding_site_detection.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/lead_optimization_pipeline.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/docking_poses.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/sb_vs_pipeline.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/interaction_pattern.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/drug_design_pipeline.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/dogsitescorer.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
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            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline.pptx -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_protein.pse -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/pipeline_io.pptx -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_binding_site.pse -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_docking_1.pse -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/sb_vs_pipeline_docking_2.pse -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images/chemical_structures_for_figures_1_5_10.cdxml -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/editable_images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/pipeline_io.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/lead_optimization_pipeline_classes.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/binding_site.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/images/chemical_descriptors.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/images\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/PipelineInputData_Project1.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/InputData_Template.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_57469.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_28864.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_125564.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_11292933.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_53276.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_2719.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_9681.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_41781.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_47811.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_5761.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443951.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443955.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_8226.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_25166913.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_2723754.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_6089.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_443884.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_28693.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_60149.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_9931954.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/3W32_extracted_protein_ready_for_docking.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt/CID_54746.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2/FrozenPubchemQuery.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project2\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_57469.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_1935.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_214347.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_11292933.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_6451164.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62805.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62275.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_1530.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_2435.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_11256587.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_5546.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_53462.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_675.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_103148.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_84759.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62389.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_5011.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_7019.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_62274.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/3W32_extracted_protein_ready_for_docking.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_65997.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt/CID_2426.pdbqt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/DockingPdbqt\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1/FrozenPubchemQuery.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/data/FrozenData/Project1\n",
            "copying build/lib/teachopencadd/talktorials/T018_automated_cadd_pipeline/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/images\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/images\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/images/ANN_wiki.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/images\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/images/ML_overview.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/images\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/data\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/data\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/data/roc_auc.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning/data\n",
            "copying build/lib/teachopencadd/talktorials/T007_compound_activity_machine_learning/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T007_compound_activity_machine_learning\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison/images\n",
            "copying build/lib/teachopencadd/talktorials/T010_binding_site_comparison/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison/images\n",
            "copying build/lib/teachopencadd/talktorials/T010_binding_site_comparison/images/binding_site_comparison_steps.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison/images\n",
            "copying build/lib/teachopencadd/talktorials/T010_binding_site_comparison/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison/data\n",
            "copying build/lib/teachopencadd/talktorials/T010_binding_site_comparison/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison/data\n",
            "copying build/lib/teachopencadd/talktorials/T010_binding_site_comparison/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T010_binding_site_comparison\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images/sequence_logo.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images/sequence_similarity.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/images\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data/kinase_similarity_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/data/kinase_distance_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence/data\n",
            "copying build/lib/teachopencadd/talktorials/T024_kinase_similarity_sequence/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T024_kinase_similarity_sequence\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/images\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/images/Figure2_DetectionMethods_scale05.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/images\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/images\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/images/3w32_DoGSite_Overview_scale05.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/images\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/images/3w32_SP_0_0_scale025.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/images\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/data\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection/data\n",
            "copying build/lib/teachopencadd/talktorials/T014_binding_site_detection/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T014_binding_site_detection\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/images\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/images/butina_full.pdf -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/images\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/images\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/data/cluster_dist_cutoff_0.20.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/data/molecule_set_largest_cluster.sdf -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/data/cluster_representatives.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering/data\n",
            "copying build/lib/teachopencadd/talktorials/T005_compound_clustering/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T005_compound_clustering\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/images/model.gif -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/images/CADD_Hbonds.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/images\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/data/trajectory.xtc -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/data/topology.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis/data\n",
            "copying build/lib/teachopencadd/talktorials/T020_md_analysis/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T020_md_analysis\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images/2d_rotation_equivariance.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/images/chembl_webservices_schema_diagram.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/images\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data/trained_gnn.pth -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/data/trained_egnn.pth -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn/data\n",
            "copying build/lib/teachopencadd/talktorials/T036_e3_equivariant_gnn/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T036_e3_equivariant_gnn\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images/target+ligand+pharma_3x_feather.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/images\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_hydrophobics.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_ensemble_ph4.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_acceptors.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_donors.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_acceptors.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_clusters_donors.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data/ligands_features_hydrophobics.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/data\n",
            "copying build/lib/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T009_compound_ensemble_pharmacophores\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/images/chemble_table1.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/images/Wiki_Example_IC50_curve_demonstrating_visually_how_IC50_is_derived.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/images/chembl_webservices_schema_diagram.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/images\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/data/EGFR_compounds_ea055ef.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/data/EGFR_bioactivities_CHEMBL27.csv.zip -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/data/EGFR_compounds.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl/data\n",
            "copying build/lib/teachopencadd/talktorials/T001_query_chembl/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T001_query_chembl\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/images\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/images/morgan_fp.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/images\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/images\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/images/maccs_fp.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/images\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/images/enrichment_plot.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/images\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/data\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/data\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/data/enrichment_plot.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity/data\n",
            "copying build/lib/teachopencadd/talktorials/T004_compound_similarity/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T004_compound_similarity\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images/nn.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images/chembl_webservices_schema_diagram.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/images/nn.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/images\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data/x_test -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data/y_test -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data/y_train -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/data/x_train -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation/data\n",
            "copying build/lib/teachopencadd/talktorials/T037_uncertainty_estimation/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T037_uncertainty_estimation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template/images\n",
            "copying build/lib/teachopencadd/talktorials/T000_template/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template/images\n",
            "copying build/lib/teachopencadd/talktorials/T000_template/images/chembl_webservices_schema_diagram.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template/images\n",
            "copying build/lib/teachopencadd/talktorials/T000_template/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template/data\n",
            "copying build/lib/teachopencadd/talktorials/T000_template/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template/data\n",
            "copying build/lib/teachopencadd/talktorials/T000_template/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T000_template\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images/mymols.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images/speed_tricks.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data/mcs_largest_cluster.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T006_compound_maximum_common_substructures/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T006_compound_maximum_common_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs/images\n",
            "copying build/lib/teachopencadd/talktorials/T012_query_klifs/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs/images\n",
            "copying build/lib/teachopencadd/talktorials/T012_query_klifs/images/teachopencadd_t012_toc.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs/images\n",
            "copying build/lib/teachopencadd/talktorials/T012_query_klifs/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs/data\n",
            "copying build/lib/teachopencadd/talktorials/T012_query_klifs/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs/data\n",
            "copying build/lib/teachopencadd/talktorials/T012_query_klifs/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T012_query_klifs\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/GCN_best-model-parameters.pt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/gnn_overview.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/output_val.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/batching-ex.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/graph.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/gin_graphs.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/images/simple-graph.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "copying build/lib/teachopencadd/talktorials/T035_graph_neural_networks/GIN_best-model-parameters.pt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T035_graph_neural_networks\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images/label_encoding_example.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images/OneHotEncoding_eg.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images/computer_data.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/images/OneHotEncoding.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/images\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/data/CHEMBL25_activities_EGFR.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding/data\n",
            "copying build/lib/teachopencadd/talktorials/T021_one_hot_encoding/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T021_one_hot_encoding\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/images/rnn-unfolded-800.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks/images\n",
            "copying build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "copying build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "copying build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/data/qm9.csv.gz -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks/data\n",
            "copying build/lib/teachopencadd/talktorials/T034_recurrent_neural_networks/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T034_recurrent_neural_networks\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/images/PAINS_Figure.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/images\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data/unwanted_substructures.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data/substructures.svg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data/EGFR_compounds_lipinski_noPAINS_noBrenk.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/data/EGFR_compounds_lipinski_noPAINS.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures/data\n",
            "copying build/lib/teachopencadd/talktorials/T003_compound_unwanted_substructures/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T003_compound_unwanted_substructures\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/images\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/images\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/images/protein-ligand-complex.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/images\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UGC_lig.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UG8_lig.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UG9.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5HG8_lig.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/PDB_top_ligands.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UG9_lig.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5HG8.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UG8.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/data/5UGC.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb/data\n",
            "copying build/lib/teachopencadd/talktorials/T008_query_pdb/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T008_query_pdb\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images/3POZ_PLIP.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/images/protein_ligand_non_covalent.gif -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/images\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/data/3poz.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions/data\n",
            "copying build/lib/teachopencadd/talktorials/T016_protein_ligand_interactions/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T016_protein_ligand_interactions\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/images/MM_PEF.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/images/MD_rotor_250K_1ns.gif -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/images/3poz_assembly-1.jpeg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/images/MD_water.gif -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/images\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/data\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation/data\n",
            "copying build/lib/teachopencadd/talktorials/T019_md_simulation/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T019_md_simulation\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/images\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/images\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data/kinase_distance_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data/kissim_fingerprints.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/data/frozen_structure_klifs_ids.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim/data\n",
            "copying build/lib/teachopencadd/talktorials/T025_kinase_similarity_kissim/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T025_kinase_similarity_kissim\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/images\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/images\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/similar_smiles.txt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/complex.pdb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/data_filtered.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/data_raw.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/data/protein.mol2 -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem/data\n",
            "copying build/lib/teachopencadd/talktorials/T013_query_pubchem/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T013_query_pubchem\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images/kinmap_n_activities_per_kinase.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/images\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/kinase_similarity_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data/kinase_distance_matrix.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/data\n",
            "copying build/lib/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T027_kinase_similarity_ligand_profile\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/images/adme.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/images/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/images/radarplot.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/images\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/data\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/data/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/data\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/data/EGFR_compounds_lipinski.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme/data\n",
            "copying build/lib/teachopencadd/talktorials/T002_compound_adme/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T002_compound_adme\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils/__init__.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils/kiba_analysis.py -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/utils\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/prot_graph_creation.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/calphas.jpg -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/basic_structure.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images/train_perf.png -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/images\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/README.md -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/KIBA.csv -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/tmp.txt -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data/final_model.pth -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/data\n",
            "copying build/lib/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction/talktorial.ipynb -> build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T038_protein_ligand_interaction_prediction\n",
            "copying build/lib/teachopencadd/utils.py -> build/bdist.linux-x86_64/egg/teachopencadd\n",
            "creating build/bdist.linux-x86_64/egg/teachopencadd/tests\n",
            "copying build/lib/teachopencadd/tests/test_cli.py -> build/bdist.linux-x86_64/egg/teachopencadd/tests\n",
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            "byte-compiling build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/ligand_similarity_search.py to ligand_similarity_search.cpython-310.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/interaction_analysis.py to interaction_analysis.cpython-310.pyc\n",
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            "byte-compiling build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/nglview.py to nglview.cpython-310.pyc\n",
            "byte-compiling build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/helpers/pdb.py to pdb.cpython-310.pyc\n",
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            "byte-compiling build/bdist.linux-x86_64/egg/teachopencadd/talktorials/T018_automated_cadd_pipeline/utils/lead_optimization_pipeline.py to lead_optimization_pipeline.cpython-310.pyc\n",
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            "copying teachopencadd.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying teachopencadd.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying teachopencadd.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
            "copying teachopencadd.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO\n",
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            "teachopencadd.__pycache__.cli.cpython-310: module references __file__\n",
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            "creating dist\n",
            "creating 'dist/teachopencadd-2023.5.2-py3.10.egg' and adding 'build/bdist.linux-x86_64/egg' to it\n",
            "removing 'build/bdist.linux-x86_64/egg' (and everything under it)\n",
            "Processing teachopencadd-2023.5.2-py3.10.egg\n",
            "creating /usr/local/lib/python3.10/dist-packages/teachopencadd-2023.5.2-py3.10.egg\n",
            "Extracting teachopencadd-2023.5.2-py3.10.egg to /usr/local/lib/python3.10/dist-packages\n",
            "Adding teachopencadd 2023.5.2 to easy-install.pth file\n",
            "Installing teachopencadd script to /usr/local/bin\n",
            "\n",
            "Installed /usr/local/lib/python3.10/dist-packages/teachopencadd-2023.5.2-py3.10.egg\n",
            "Processing dependencies for teachopencadd==2023.5.2\n",
            "Finished processing dependencies for teachopencadd==2023.5.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Aim of this tutorial\n",
        "Due to larger available data sources, machine learning (ML) gained momentum in drug discovery and especially in ligand-based virtual screening. In this talktorial, we learn how to use different supervised ML algorithms to predict the activity of novel compounds against our target of interest (EGFR).\n",
        "\n",
        "Contents in Theory\n",
        "Data preparation: Molecule encoding\n",
        "Machine learning (ML)\n",
        "Supervised learning\n",
        "Model validation and evaluation\n",
        "Validation strategy: K-fold cross-validation\n",
        "Performance measures\n",
        "Contents in Practical\n",
        "Load compound and activity data\n",
        "Data preparation\n",
        "Data labeling\n",
        "Molecule encoding\n",
        "Machine learning\n",
        "Helper functions\n",
        "Random forest classifier\n",
        "Support vector classifier\n",
        "Neural network classifier\n",
        "Cross-validation\n",
        "References\n",
        "\"Fingerprints in the RDKit\" slides, G. Landrum, RDKit UGM 2012\n",
        "Extended-connectivity fingerprints (ECFPs): Rogers, David, and Mathew Hahn. \"Extended-connectivity fingerprints.\" Journal of chemical information and modeling 50.5 (2010): 742-754.\n",
        "Machine learning (ML):\n",
        "Random forest (RF): Breiman, L. \"Random Forests\". Machine Learning 45, 5–32 (2001).\n",
        "Support vector machines (SVM): Cortes, C., Vapnik, V. \"Support-vector networks\". Machine Learning 20, 273–297 (1995).\n",
        "Artificial neural networks (ANN): Van Gerven, Marcel, and Sander Bohte. \"Artificial neural networks as models of neural information processing.\" Frontiers in Computational Neuroscience 11 (2017): 114.\n",
        "Performance:\n",
        "Sensitivity and specificity (Wikipedia)\n",
        "ROC curve and AUC (Wikipedia)\n",
        "See also github notebook by B. Merget from J. Med. Chem., 2017, 60, 474−485\n",
        "Activity cutoff\n",
        " used in this talktorial\n",
        "Profiling Prediction of Kinase Inhibitors: Toward the Virtual Assay J. Med. Chem. (2017), 60, 474-485\n",
        "Notebook accompanying the publication mentioned before: Notebook\n",
        "Theory\n",
        "To successfully apply ML, we need a large data set of molecules, a molecular encoding, a label per molecule in the data set, and a ML algorithm to train a model. Then, we can make predictions for new molecules.\n",
        "\n",
        "ML overview\n",
        "\n",
        "Figure 1: Machine learning overview: Molecular encoding, label, ML algorithm, prediction. Figure by Andrea Volkamer.\n",
        "\n",
        "Data preparation: Molecule encoding\n",
        "For ML, molecules need to be converted into a list of features. Often molecular fingerprints are used as representation.\n",
        "\n",
        "The fingerprints used in this talktorial as implemented in RDKit (more info can be found in a presentation by G. Landrum) are:\n",
        "\n",
        "maccs: 'MACCS keys are 166 bit structural key descriptors in which each bit is associated with a SMARTS pattern.' (see OpenEye's MACCS docs)\n",
        "Morgan fingerprints (and ECFP): 'Extended-Connectivity Fingerprints (ECFPs) are circular topological fingerprints designed for molecular characterization, similarity searching, and structure-activity modeling.' (see ChemAxon's ECFP docs) The original implementation of the ECFPs was done in Pipeline Pilot which is not open-source. Instead we use the implementation from RDKit which is called Morgan fingerprint. The two most important parameters of these fingerprints are the radius and fingerprint length. The first specifies the radius of circular neighborhoods considered for each atom. Here two radii are considered: 2 and 3. The length parameter specifies the length to which the bit string representation is hashed. The default length is 2048.\n",
        "Machine learning (ML)\n",
        "ML can be applied for (text adapted from scikit-learn page):\n",
        "\n",
        "Classification (supervised): Identify which category an object belongs to (e.g. : Nearest neighbors, Naive Bayes, RF, SVM, ...)\n",
        "Regression: Prediction of a continuous-values attribute associated with an object\n",
        "Clustering (unsupervised): Automated grouping of similar objects into sets (see also Talktorial T005)\n",
        "Supervised learning\n",
        "A learning algorithm creates rules by finding patterns in the training data.\n",
        "\n",
        "Random Forest (RF): Ensemble of decision trees. A single decision tree splits the features of the input vector in a way that maximizes an objective function. In the random forest algorithm, the trees that are grown are de-correlated because the choice of features for the splits are chosen randomly.\n",
        "Support Vector Machines (SVMs): SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. The classifier is based on the idea of maximizing the margin as the objective function.\n",
        "Artificial neural networks (ANNs): An ANN is based on a collection of connected units or nodes called artificial neurons which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it.\n",
        "ANN_example\n",
        "\n",
        "Figure 2: Example of a neural network with one hidden layer. Figure taken from Wikipedia.\n",
        "\n",
        "Model validation and evaluation\n",
        "Validation strategy: K-fold cross validation\n",
        "This model validation technique splits the dataset in two groups in an iterative manner:\n",
        "Training data set: Considered as the known dataset on which the model is trained\n",
        "Test dataset: Unknown dataset on which the model is then tested\n",
        "Process is repeated k-times\n",
        "The goal is to test the ability of the model to predict data which it has never seen before in order to flag problems known as over-fitting and to assess the generalization ability of the model.\n",
        "Performance measures\n",
        "Sensitivity, also true positive rate\n",
        "TPR = TP/(FN + TP)\n",
        "Intuitively: Out of all actual positives, how many were predicted as positive?\n",
        "Specificity, also true negative rate\n",
        "TNR = TN/(FP + TN)\n",
        "Intuitively: Out of all actual negatives, how many were predicted as negative?\n",
        "Accuracy, also the trueness\n",
        "ACC = (TP + TN)/(TP + TN + FP + FN)\n",
        "Intuitively: Proportion of correct predictions.\n",
        "ROC-curve, receiver operating characteristic curve\n",
        "A graphical plot that illustrates the diagnostic ability of our classifier\n",
        "Plots the sensitivity against the specificity\n",
        "AUC, the area under the ROC curve (AUC):\n",
        "Describes the probability that a classifier will rank a randomly chosen positive instance higher than a negative one\n",
        "Values between 0 and 1, the higher the better\n",
        "What the model predicts\tTrue active\tTrue inactive\n",
        "active\tTrue Positive (TP)\tFalse Positive (FP)\n",
        "inactive\tFalse Negative (FN)\tTrue Negative (TN)"
      ],
      "metadata": {
        "id": "sID8b516hUXW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from pathlib import Path\n",
        "from warnings import filterwarnings\n",
        "import time\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn import svm, metrics, clone\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from sklearn.model_selection import KFold, train_test_split\n",
        "from sklearn.metrics import auc, accuracy_score, recall_score\n",
        "from sklearn.metrics import roc_curve, roc_auc_score\n",
        "import matplotlib.pyplot as plt\n",
        "from rdkit import Chem\n",
        "from rdkit.Chem import MACCSkeys, rdFingerprintGenerator\n",
        "\n",
        "from teachopencadd.utils import seed_everything\n",
        "\n",
        "# Silence some expected warnings\n",
        "filterwarnings(\"ignore\")\n",
        "# Fix seed for reproducible results\n",
        "SEED = 22\n",
        "seed_everything(SEED)"
      ],
      "metadata": {
        "id": "lfL7DJiphO-A"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Set path to this notebook\n",
        "HERE = Path(_dh[-1])\n",
        "DATA = HERE / \"data\""
      ],
      "metadata": {
        "id": "zrE8NSrthhx3"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Load compound and activity data**\n",
        "Let's start by loading our data, which focuses on the Epidermal growth factor receptor (EGFR) kinase. The csv file from Talktorial T002 is loaded into a dataframe with the important columns:\n",
        "\n",
        "CHEMBL-ID\n",
        "SMILES string of the corresponding compound\n",
        "Measured affinity: pIC50"
      ],
      "metadata": {
        "id": "8HDEG4tJhk-I"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Read data from previous talktorials\n",
        "chembl_df = pd.read_csv(\n",
        "    HERE / \"/content/teachopencadd/teachopencadd/talktorials/T002_compound_adme/data/EGFR_compounds_lipinski.csv\",\n",
        "    index_col=0,\n",
        ")\n",
        "\n",
        "# Look at head\n",
        "print(\"Shape of dataframe : \", chembl_df.shape)\n",
        "chembl_df.head()\n",
        "# NBVAL_CHECK_OUTPUT"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        },
        "id": "TPejVS0EhjT9",
        "outputId": "33eb6830-e083-4092-80f5-5898253af426"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of dataframe :  (4635, 10)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  molecule_chembl_id   IC50 units                               smiles  \\\n",
              "0        CHEMBL63786  0.003    nM    Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1   \n",
              "1        CHEMBL35820  0.006    nM  CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC   \n",
              "2        CHEMBL53711  0.006    nM   CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1   \n",
              "3        CHEMBL66031  0.008    nM  Brc1cccc(Nc2ncnc3cc4[nH]cnc4cc23)c1   \n",
              "4        CHEMBL53753  0.008    nM      CNc1cc2c(Nc3cccc(Br)c3)ncnc2cn1   \n",
              "\n",
              "       pIC50  molecular_weight  n_hba  n_hbd    logp  ro5_fulfilled  \n",
              "0  11.522879        349.021459      3      1  5.2891           True  \n",
              "1  11.221849        387.058239      5      1  4.9333           True  \n",
              "2  11.221849        343.043258      5      1  3.5969           True  \n",
              "3  11.096910        339.011957      4      2  4.0122           True  \n",
              "4  11.096910        329.027607      5      2  3.5726           True  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-84af94a8-d34f-4ce0-b9bc-7d7e25f2d38c\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>molecule_chembl_id</th>\n",
              "      <th>IC50</th>\n",
              "      <th>units</th>\n",
              "      <th>smiles</th>\n",
              "      <th>pIC50</th>\n",
              "      <th>molecular_weight</th>\n",
              "      <th>n_hba</th>\n",
              "      <th>n_hbd</th>\n",
              "      <th>logp</th>\n",
              "      <th>ro5_fulfilled</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>CHEMBL63786</td>\n",
              "      <td>0.003</td>\n",
              "      <td>nM</td>\n",
              "      <td>Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1</td>\n",
              "      <td>11.522879</td>\n",
              "      <td>349.021459</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>5.2891</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CHEMBL35820</td>\n",
              "      <td>0.006</td>\n",
              "      <td>nM</td>\n",
              "      <td>CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC</td>\n",
              "      <td>11.221849</td>\n",
              "      <td>387.058239</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>4.9333</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>CHEMBL53711</td>\n",
              "      <td>0.006</td>\n",
              "      <td>nM</td>\n",
              "      <td>CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1</td>\n",
              "      <td>11.221849</td>\n",
              "      <td>343.043258</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>3.5969</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>CHEMBL66031</td>\n",
              "      <td>0.008</td>\n",
              "      <td>nM</td>\n",
              "      <td>Brc1cccc(Nc2ncnc3cc4[nH]cnc4cc23)c1</td>\n",
              "      <td>11.096910</td>\n",
              "      <td>339.011957</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>4.0122</td>\n",
              "      <td>True</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CHEMBL53753</td>\n",
              "      <td>0.008</td>\n",
              "      <td>nM</td>\n",
              "      <td>CNc1cc2c(Nc3cccc(Br)c3)ncnc2cn1</td>\n",
              "      <td>11.096910</td>\n",
              "      <td>329.027607</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>3.5726</td>\n",
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              "\n",
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              "  "
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          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Keep only the columns we want\n",
        "chembl_df = chembl_df[[\"molecule_chembl_id\", \"smiles\", \"pIC50\"]]\n",
        "chembl_df.head()\n",
        "# NBVAL_CHECK_OUTPUT"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "PI1gRkuYht4-",
        "outputId": "61620385-10d7-4846-a103-45be3057f2c6"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  molecule_chembl_id                               smiles      pIC50\n",
              "0        CHEMBL63786    Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1  11.522879\n",
              "1        CHEMBL35820  CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC  11.221849\n",
              "2        CHEMBL53711   CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.221849\n",
              "3        CHEMBL66031  Brc1cccc(Nc2ncnc3cc4[nH]cnc4cc23)c1  11.096910\n",
              "4        CHEMBL53753      CNc1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.096910"
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              "      <th>molecule_chembl_id</th>\n",
              "      <th>smiles</th>\n",
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              "      <td>CHEMBL63786</td>\n",
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              "      <th>1</th>\n",
              "      <td>CHEMBL35820</td>\n",
              "      <td>CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC</td>\n",
              "      <td>11.221849</td>\n",
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              "      <th>2</th>\n",
              "      <td>CHEMBL53711</td>\n",
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              "      <td>11.221849</td>\n",
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              "      <td>11.096910</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
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          "metadata": {},
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    },
    {
      "cell_type": "markdown",
      "source": [
        "**Data preparation**\n",
        "Data labeling\n",
        "We need to classify each compound as active or inactive. Therefore, we use the pIC50 value.\n",
        "\n",
        "pIC50 = -log10(IC50)\n",
        "IC50 describes the amount of substance needed to inhibit, in vitro, a process by 50% .\n",
        "A common cut-off value to discretize pIC50 data is 6.3, which we will use for our experiment (refer to J. Med. Chem. (2017), 60, 474-485 and the corresponding\n",
        "notebook)\n",
        "\n",
        "Note that there are several other suggestions for an activity cut-off ranging from an pIC50 value of 5 to 7 in the literature or even to define an exclusion range when not to take data points."
      ],
      "metadata": {
        "id": "MV0CPm5xiau3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Add column for activity\n",
        "chembl_df[\"active\"] = np.zeros(len(chembl_df))\n",
        "\n",
        "# Mark every molecule as active with an pIC50 of >= 6.3, 0 otherwise\n",
        "chembl_df.loc[chembl_df[chembl_df.pIC50 >= 6.3].index, \"active\"] = 1.0\n",
        "\n",
        "# NBVAL_CHECK_OUTPUT\n",
        "print(\"Number of active compounds:\", int(chembl_df.active.sum()))\n",
        "print(\"Number of inactive compounds:\", len(chembl_df) - int(chembl_df.active.sum()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a7f7UwWbhwRs",
        "outputId": "26a0ae48-d2d0-46cb-876a-c4843712cbfc"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of active compounds: 2631\n",
            "Number of inactive compounds: 2004\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "chembl_df.head()\n",
        "# NBVAL_CHECK_OUTPUT"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "6UrLcpZpieB_",
        "outputId": "c7798e7a-d277-4631-9d8f-bbcf03c8ee8d"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  molecule_chembl_id                               smiles      pIC50  active\n",
              "0        CHEMBL63786    Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1  11.522879     1.0\n",
              "1        CHEMBL35820  CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC  11.221849     1.0\n",
              "2        CHEMBL53711   CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.221849     1.0\n",
              "3        CHEMBL66031  Brc1cccc(Nc2ncnc3cc4[nH]cnc4cc23)c1  11.096910     1.0\n",
              "4        CHEMBL53753      CNc1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.096910     1.0"
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              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Molecule encoding**\n",
        "Now we define a function smiles_to_fp to generate fingerprints from SMILES. For now, we incorporated the choice between the following fingerprints:\n",
        "\n",
        "maccs\n",
        "morgan2 and morgan3"
      ],
      "metadata": {
        "id": "wEm2XWVsihh4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def smiles_to_fp(smiles, method=\"maccs\", n_bits=2048):\n",
        "    \"\"\"\n",
        "    Encode a molecule from a SMILES string into a fingerprint.\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    smiles : str\n",
        "        The SMILES string defining the molecule.\n",
        "\n",
        "    method : str\n",
        "        The type of fingerprint to use. Default is MACCS keys.\n",
        "\n",
        "    n_bits : int\n",
        "        The length of the fingerprint.\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    array\n",
        "        The fingerprint array.\n",
        "\n",
        "    \"\"\"\n",
        "\n",
        "    # convert smiles to RDKit mol object\n",
        "    mol = Chem.MolFromSmiles(smiles)\n",
        "\n",
        "    if method == \"maccs\":\n",
        "        return np.array(MACCSkeys.GenMACCSKeys(mol))\n",
        "    if method == \"morgan2\":\n",
        "        fpg = rdFingerprintGenerator.GetMorganGenerator(radius=2, fpSize=n_bits)\n",
        "        return np.array(fpg.GetFingerprint(mol))\n",
        "    if method == \"morgan3\":\n",
        "        fpg = rdFingerprintGenerator.GetMorganGenerator(radius=3, fpSize=n_bits)\n",
        "        return np.array(fpg.GetFingerprint(mol))\n",
        "    else:\n",
        "        # NBVAL_CHECK_OUTPUT\n",
        "        print(f\"Warning: Wrong method specified: {method}. Default will be used instead.\")\n",
        "        return np.array(MACCSkeys.GenMACCSKeys(mol))"
      ],
      "metadata": {
        "id": "XNYDqdt-if5g"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "compound_df = chembl_df.copy()"
      ],
      "metadata": {
        "id": "vhzRzbW3ilM1"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Add column for fingerprint\n",
        "compound_df[\"fp\"] = compound_df[\"smiles\"].apply(smiles_to_fp)\n",
        "compound_df.head(3)\n",
        "# NBVAL_CHECK_OUTPUT"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "uyRmEAQpimyg",
        "outputId": "830b2aa1-f65c-4be3-f341-d422036dc728"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  molecule_chembl_id                               smiles      pIC50  active  \\\n",
              "0        CHEMBL63786    Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1  11.522879     1.0   \n",
              "1        CHEMBL35820  CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC  11.221849     1.0   \n",
              "2        CHEMBL53711   CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.221849     1.0   \n",
              "\n",
              "                                                  fp  \n",
              "0  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
              "1  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
              "2  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  "
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              "      <td>CHEMBL63786</td>\n",
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Machine Learning (ML)\n",
        "In the following, we will try several ML approaches to classify our molecules. We will use:\n",
        "\n",
        "Random Forest (RF)\n",
        "Support Vector Machine (SVM)\n",
        "Artificial Neural Network (ANN)\n",
        "Additionally, we will comment on the results.\n",
        "\n",
        "The goal is to test the ability of the model to predict data which it has never seen before in order to flag problems known as over fitting and to assess the generalization ability of the model.\n",
        "\n",
        "We start by defining a function model_training_and_validation which fits a model on a random train-test split of the data and returns measures such as accuracy, sensitivity, specificity and AUC evaluated on the test set. We also plot the ROC curves using plot_roc_curves_for_models.\n",
        "\n",
        "We then define a function named crossvalidation which executes a cross validation procedure and prints the statistics of the results over the folds.\n",
        "\n",
        "Helper functions\n",
        "Helper function to plot customized ROC curves."
      ],
      "metadata": {
        "id": "JUSnSvWHir9K"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_roc_curves_for_models(models, test_x, test_y, save_png=False):\n",
        "    \"\"\"\n",
        "    Helper function to plot customized roc curve.\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    models: dict\n",
        "        Dictionary of pretrained machine learning models.\n",
        "    test_x: list\n",
        "        Molecular fingerprints for test set.\n",
        "    test_y: list\n",
        "        Associated activity labels for test set.\n",
        "    save_png: bool\n",
        "        Save image to disk (default = False)\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    fig:\n",
        "        Figure.\n",
        "    \"\"\"\n",
        "\n",
        "    fig, ax = plt.subplots()\n",
        "\n",
        "    # Below for loop iterates through your models list\n",
        "    for model in models:\n",
        "        # Select the model\n",
        "        ml_model = model[\"model\"]\n",
        "        # Prediction probability on test set\n",
        "        test_prob = ml_model.predict_proba(test_x)[:, 1]\n",
        "        # Prediction class on test set\n",
        "        test_pred = ml_model.predict(test_x)\n",
        "        # Compute False postive rate and True positive rate\n",
        "        fpr, tpr, thresholds = metrics.roc_curve(test_y, test_prob)\n",
        "        # Calculate Area under the curve to display on the plot\n",
        "        auc = roc_auc_score(test_y, test_prob)\n",
        "        # Plot the computed values\n",
        "        ax.plot(fpr, tpr, label=(f\"{model['label']} AUC area = {auc:.2f}\"))\n",
        "\n",
        "    # Custom settings for the plot\n",
        "    ax.plot([0, 1], [0, 1], \"r--\")\n",
        "    ax.set_xlabel(\"False Positive Rate\")\n",
        "    ax.set_ylabel(\"True Positive Rate\")\n",
        "    ax.set_title(\"Receiver Operating Characteristic\")\n",
        "    ax.legend(loc=\"lower right\")\n",
        "    # Save plot\n",
        "    if save_png:\n",
        "        fig.savefig(f\"{DATA}/roc_auc\", dpi=300, bbox_inches=\"tight\", transparent=True)\n",
        "    return fig"
      ],
      "metadata": {
        "id": "l-PsM1dqioSG"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def model_performance(ml_model, test_x, test_y, verbose=True):\n",
        "    \"\"\"\n",
        "    Helper function to calculate model performance\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    ml_model: sklearn model object\n",
        "        The machine learning model to train.\n",
        "    test_x: list\n",
        "        Molecular fingerprints for test set.\n",
        "    test_y: list\n",
        "        Associated activity labels for test set.\n",
        "    verbose: bool\n",
        "        Print performance measure (default = True)\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    tuple:\n",
        "        Accuracy, sensitivity, specificity, auc on test set.\n",
        "    \"\"\"\n",
        "\n",
        "    # Prediction probability on test set\n",
        "    test_prob = ml_model.predict_proba(test_x)[:, 1]\n",
        "\n",
        "    # Prediction class on test set\n",
        "    test_pred = ml_model.predict(test_x)\n",
        "\n",
        "    # Performance of model on test set\n",
        "    accuracy = accuracy_score(test_y, test_pred)\n",
        "    sens = recall_score(test_y, test_pred)\n",
        "    spec = recall_score(test_y, test_pred, pos_label=0)\n",
        "    auc = roc_auc_score(test_y, test_prob)\n",
        "\n",
        "    if verbose:\n",
        "        # Print performance results\n",
        "        # NBVAL_CHECK_OUTPUT        print(f\"Accuracy: {accuracy:.2}\")\n",
        "        print(f\"Sensitivity: {sens:.2f}\")\n",
        "        print(f\"Specificity: {spec:.2f}\")\n",
        "        print(f\"AUC: {auc:.2f}\")\n",
        "\n",
        "    return accuracy, sens, spec, auc"
      ],
      "metadata": {
        "id": "-b_Q5eQ5ivnq"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def model_training_and_validation(ml_model, name, splits, verbose=True):\n",
        "    \"\"\"\n",
        "    Fit a machine learning model on a random train-test split of the data\n",
        "    and return the performance measures.\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    ml_model: sklearn model object\n",
        "        The machine learning model to train.\n",
        "    name: str\n",
        "        Name of machine learning algorithm: RF, SVM, ANN\n",
        "    splits: list\n",
        "        List of desciptor and label data: train_x, test_x, train_y, test_y.\n",
        "    verbose: bool\n",
        "        Print performance info (default = True)\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    tuple:\n",
        "        Accuracy, sensitivity, specificity, auc on test set.\n",
        "\n",
        "    \"\"\"\n",
        "    train_x, test_x, train_y, test_y = splits\n",
        "\n",
        "    # Fit the model\n",
        "    ml_model.fit(train_x, train_y)\n",
        "\n",
        "    # Calculate model performance results\n",
        "    accuracy, sens, spec, auc = model_performance(ml_model, test_x, test_y, verbose)\n",
        "\n",
        "    return accuracy, sens, spec, auc"
      ],
      "metadata": {
        "id": "dogc8DfhixYW"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fingerprint_to_model = compound_df.fp.tolist()\n",
        "label_to_model = compound_df.active.tolist()\n",
        "\n",
        "# Split data randomly in train and test set\n",
        "# note that we use test/train_x for the respective fingerprint splits\n",
        "# and test/train_y for the respective label splits\n",
        "(\n",
        "    static_train_x,\n",
        "    static_test_x,\n",
        "    static_train_y,\n",
        "    static_test_y,\n",
        ") = train_test_split(fingerprint_to_model, label_to_model, test_size=0.2, random_state=SEED)\n",
        "splits = [static_train_x, static_test_x, static_train_y, static_test_y]\n",
        "# NBVAL_CHECK_OUTPUT\n",
        "print(\"Training data size:\", len(static_train_x))\n",
        "print(\"Test data size:\", len(static_test_x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "38e54UVYizjt",
        "outputId": "4f64a7f3-b624-40c6-c68c-93bae901e7cb"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training data size: 3708\n",
            "Test data size: 927\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Random forest classifier**\n",
        "We start with a random forest classifier, where we first set the parameters.\n",
        "\n",
        "We train the model on a random train-test split and plot the results."
      ],
      "metadata": {
        "id": "mCa13YCki3E3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Set model parameter for random forest\n",
        "param = {\n",
        "    \"n_estimators\": 100,  # number of trees to grows\n",
        "    \"criterion\": \"entropy\",  # cost function to be optimized for a split\n",
        "}\n",
        "model_RF = RandomForestClassifier(**param)"
      ],
      "metadata": {
        "id": "qB5jLcuBi1JR"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Fit model on single split\n",
        "performance_measures = model_training_and_validation(model_RF, \"RF\", splits)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KHbrPY10i58N",
        "outputId": "aae649b3-9e9d-4f2e-db1c-3da11ff61b46"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sensitivity: 0.90\n",
            "Specificity: 0.77\n",
            "AUC: 0.90\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize the list that stores all models. First one is RF.\n",
        "models = [{\"label\": \"Model_RF\", \"model\": model_RF}]\n",
        "# Plot roc curve\n",
        "plot_roc_curves_for_models(models, static_test_x, static_test_y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "74nuiTNGi7fz",
        "outputId": "98f98494-e79f-4cfc-a239-aa7563a4285f"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Support vector classifier**\n",
        "Here we train a SVM with a radial-basis function kernel (also: squared-exponential kernel). For more information, see sklearn RBF kernel."
      ],
      "metadata": {
        "id": "s7H8yv8Ni-34"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Specify model\n",
        "model_SVM = svm.SVC(kernel=\"rbf\", C=1, gamma=0.1, probability=True)\n",
        "\n",
        "# Fit model on single split\n",
        "performance_measures = model_training_and_validation(model_SVM, \"SVM\", splits)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OpKk7r1Si9Mb",
        "outputId": "8eeb3a28-30f9-42ed-8e31-60b134052d55"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sensitivity: 0.92\n",
            "Specificity: 0.74\n",
            "AUC: 0.90\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Append SVM model\n",
        "models.append({\"label\": \"Model_SVM\", \"model\": model_SVM})\n",
        "# Plot roc curve\n",
        "plot_roc_curves_for_models(models, static_test_x, static_test_y);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "d0hRpToujB0w",
        "outputId": "7cc03199-ec0d-4a31-d1b1-3cb82c3af9d4"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Neural network classifier**\n",
        "The last approach we try here is a neural network model. We train an MLPClassifier (Multi-layer Perceptron classifier) with 2 layers: the first layer with 5 neurons and the second layer with 3 neurons. As before, we do the crossvalidation procedure and plot the results. For more information on MLP, see sklearn MLPClassifier."
      ],
      "metadata": {
        "id": "rPPH-d2vjFjw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Specify model\n",
        "model_ANN = MLPClassifier(hidden_layer_sizes=(5, 3), random_state=SEED)\n",
        "\n",
        "# Fit model on single split\n",
        "performance_measures = model_training_and_validation(model_ANN, \"ANN\", splits)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mBRNsvtnjDnU",
        "outputId": "34216a82-3a67-4149-8305-292f3bd71bdf"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sensitivity: 0.85\n",
            "Specificity: 0.73\n",
            "AUC: 0.86\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Append ANN model\n",
        "models.append({\"label\": \"Model_ANN\", \"model\": model_ANN})\n",
        "# Plot roc curve\n",
        "plot_roc_curves_for_models(models, static_test_x, static_test_y, True);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "3T_6m3jFjI8A",
        "outputId": "eac63a73-41cd-4ceb-a82b-3fa76823dc8c"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-50-8f1ef6fd063f>\u001b[0m in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mmodels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"label\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Model_ANN\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"model\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mmodel_ANN\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# Plot roc curve\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mplot_roc_curves_for_models\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatic_test_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatic_test_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m<ipython-input-40-5a65b02e7941>\u001b[0m in \u001b[0;36mplot_roc_curves_for_models\u001b[0;34m(models, test_x, test_y, save_png)\u001b[0m\n\u001b[1;32m     45\u001b[0m     \u001b[0;31m# Save plot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0msave_png\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 47\u001b[0;31m         \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{DATA}/roc_auc\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m300\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbbox_inches\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"tight\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransparent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     48\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36msavefig\u001b[0;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[1;32m   3341\u001b[0m                         ax.patch._cm_set(facecolor='none', edgecolor='none'))\n\u001b[1;32m   3342\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3343\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3344\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3345\u001b[0m     def ginput(self, n=1, timeout=30, show_clicks=True,\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2364\u001b[0m                 \u001b[0;31m# force the figure dpi to 72), so we need to set it again here.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2365\u001b[0m                 \u001b[0;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdpi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2366\u001b[0;31m                     result = print_method(\n\u001b[0m\u001b[1;32m   2367\u001b[0m                         \u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2368\u001b[0m                         \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfacecolor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   2230\u001b[0m                 \"bbox_inches_restore\"}\n\u001b[1;32m   2231\u001b[0m             \u001b[0mskip\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moptional_kws\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minspect\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmeth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2232\u001b[0;31m             print_method = functools.wraps(meth)(lambda *args, **kwargs: meth(\n\u001b[0m\u001b[1;32m   2233\u001b[0m                 *args, **{k: v for k, v in kwargs.items() if k not in skip}))\n\u001b[1;32m   2234\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Let third-parties do as they see fit.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mprint_png\u001b[0;34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[0m\n\u001b[1;32m    507\u001b[0m             \u001b[0;34m*\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mincluding\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdefault\u001b[0m \u001b[0;34m'Software'\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    508\u001b[0m         \"\"\"\n\u001b[0;32m--> 509\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_print_pil\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename_or_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"png\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpil_kwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    510\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    511\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprint_to_buffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36m_print_pil\u001b[0;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[0m\n\u001b[1;32m    456\u001b[0m         \"\"\"\n\u001b[1;32m    457\u001b[0m         \u001b[0mFigureCanvasAgg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 458\u001b[0;31m         mpl.image.imsave(\n\u001b[0m\u001b[1;32m    459\u001b[0m             \u001b[0mfilename_or_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer_rgba\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfmt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"upper\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    460\u001b[0m             dpi=self.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs)\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/matplotlib/image.py\u001b[0m in \u001b[0;36mimsave\u001b[0;34m(fname, arr, vmin, vmax, cmap, format, origin, dpi, metadata, pil_kwargs)\u001b[0m\n\u001b[1;32m   1687\u001b[0m         \u001b[0mpil_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"format\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1688\u001b[0m         \u001b[0mpil_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"dpi\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdpi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1689\u001b[0;31m         \u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mpil_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1690\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1691\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/PIL/Image.py\u001b[0m in \u001b[0;36msave\u001b[0;34m(self, fp, format, **params)\u001b[0m\n\u001b[1;32m   2235\u001b[0m                 \u001b[0mfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuiltins\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"r+b\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2236\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2237\u001b[0;31m                 \u001b[0mfp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuiltins\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"w+b\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2239\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/content/teachopencadd/data/roc_auc.png'"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Cross-validation**\n",
        "Next, we will perform cross-validation experiments with the three different models. Therefore, we define a helper function for machine learning model training and validation in a cross-validation loop."
      ],
      "metadata": {
        "id": "ht5cpwYhjNIQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def crossvalidation(ml_model, df, n_folds=5, verbose=False):\n",
        "    \"\"\"\n",
        "    Machine learning model training and validation in a cross-validation loop.\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    ml_model: sklearn model object\n",
        "        The machine learning model to train.\n",
        "    df: pd.DataFrame\n",
        "        Data set with SMILES and their associated activity labels.\n",
        "    n_folds: int, optional\n",
        "        Number of folds for cross-validation.\n",
        "    verbose: bool, optional\n",
        "        Performance measures are printed.\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    None\n",
        "\n",
        "    \"\"\"\n",
        "    t0 = time.time()\n",
        "    # Shuffle the indices for the k-fold cross-validation\n",
        "    kf = KFold(n_splits=n_folds, shuffle=True, random_state=SEED)\n",
        "\n",
        "    # Results for each of the cross-validation folds\n",
        "    acc_per_fold = []\n",
        "    sens_per_fold = []\n",
        "    spec_per_fold = []\n",
        "    auc_per_fold = []\n",
        "\n",
        "    # Loop over the folds\n",
        "    for train_index, test_index in kf.split(df):\n",
        "        # clone model -- we want a fresh copy per fold!\n",
        "        fold_model = clone(ml_model)\n",
        "        # Training\n",
        "\n",
        "        # Convert the fingerprint and the label to a list\n",
        "        train_x = df.iloc[train_index].fp.tolist()\n",
        "        train_y = df.iloc[train_index].active.tolist()\n",
        "\n",
        "        # Fit the model\n",
        "        fold_model.fit(train_x, train_y)\n",
        "\n",
        "        # Testing\n",
        "\n",
        "        # Convert the fingerprint and the label to a list\n",
        "        test_x = df.iloc[test_index].fp.tolist()\n",
        "        test_y = df.iloc[test_index].active.tolist()\n",
        "\n",
        "        # Performance for each fold\n",
        "        accuracy, sens, spec, auc = model_performance(fold_model, test_x, test_y, verbose)\n",
        "\n",
        "        # Save results\n",
        "        acc_per_fold.append(accuracy)\n",
        "        sens_per_fold.append(sens)\n",
        "        spec_per_fold.append(spec)\n",
        "        auc_per_fold.append(auc)\n",
        "\n",
        "    # Print statistics of results\n",
        "    print(\n",
        "        f\"Mean accuracy: {np.mean(acc_per_fold):.2f} \\t\"\n",
        "        f\"and std : {np.std(acc_per_fold):.2f} \\n\"\n",
        "        f\"Mean sensitivity: {np.mean(sens_per_fold):.2f} \\t\"\n",
        "        f\"and std : {np.std(sens_per_fold):.2f} \\n\"\n",
        "        f\"Mean specificity: {np.mean(spec_per_fold):.2f} \\t\"\n",
        "        f\"and std : {np.std(spec_per_fold):.2f} \\n\"\n",
        "        f\"Mean AUC: {np.mean(auc_per_fold):.2f} \\t\"\n",
        "        f\"and std : {np.std(auc_per_fold):.2f} \\n\"\n",
        "        f\"Time taken : {time.time() - t0:.2f}s\\n\"\n",
        "    )\n",
        "\n",
        "    return acc_per_fold, sens_per_fold, spec_per_fold, auc_per_fold"
      ],
      "metadata": {
        "id": "5k4JFuLyjK6w"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Cross-validation**\n",
        "\n",
        "We now apply cross-validation and show the statistics for all three ML models. In real world conditions, cross-validation usually applies 5 or more folds, but for the sake of performance we will reduce it to 3. You can change the value of N_FOLDS in this cell below."
      ],
      "metadata": {
        "id": "3auGqJWDjS-i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "N_FOLDS = 3"
      ],
      "metadata": {
        "id": "4MxEKAWrjQyX"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for model in models:\n",
        "    print(\"\\n======= \")\n",
        "    print(f\"{model['label']}\")\n",
        "    crossvalidation(model[\"model\"], compound_df, n_folds=N_FOLDS)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v4icBShRjV1q",
        "outputId": "4085173e-c6b8-478f-d8d5-36002b5ee524"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "======= \n",
            "Model_RF\n",
            "Mean accuracy: 0.83 \tand std : 0.01 \n",
            "Mean sensitivity: 0.88 \tand std : 0.02 \n",
            "Mean specificity: 0.76 \tand std : 0.01 \n",
            "Mean AUC: 0.89 \tand std : 0.01 \n",
            "Time taken : 3.88s\n",
            "\n",
            "\n",
            "======= \n",
            "Model_SVM\n",
            "Mean accuracy: 0.84 \tand std : 0.01 \n",
            "Mean sensitivity: 0.90 \tand std : 0.01 \n",
            "Mean specificity: 0.76 \tand std : 0.00 \n",
            "Mean AUC: 0.89 \tand std : 0.01 \n",
            "Time taken : 22.92s\n",
            "\n",
            "\n",
            "======= \n",
            "Model_ANN\n",
            "Mean accuracy: 0.81 \tand std : 0.00 \n",
            "Mean sensitivity: 0.86 \tand std : 0.01 \n",
            "Mean specificity: 0.73 \tand std : 0.01 \n",
            "Mean AUC: 0.87 \tand std : 0.00 \n",
            "Time taken : 7.81s\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Reset data frame\n",
        "compound_df = chembl_df.copy()"
      ],
      "metadata": {
        "id": "hvQ2_1vNjXfi"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Use Morgan fingerprint with radius 3\n",
        "compound_df[\"fp\"] = compound_df[\"smiles\"].apply(smiles_to_fp, args=(\"morgan3\",))\n",
        "compound_df.head(3)\n",
        "# NBVAL_CHECK_OUTPUT\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "Fj2ISKBRjZ3l",
        "outputId": "f96e2b98-d096-4f97-96a2-e8c9cb711eaa"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  molecule_chembl_id                               smiles      pIC50  active  \\\n",
              "0        CHEMBL63786    Brc1cccc(Nc2ncnc3cc4ccccc4cc23)c1  11.522879     1.0   \n",
              "1        CHEMBL35820  CCOc1cc2ncnc(Nc3cccc(Br)c3)c2cc1OCC  11.221849     1.0   \n",
              "2        CHEMBL53711   CN(C)c1cc2c(Nc3cccc(Br)c3)ncnc2cn1  11.221849     1.0   \n",
              "\n",
              "                                                  fp  \n",
              "0  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
              "1  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
              "2  [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  "
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              "      <td>CHEMBL63786</td>\n",
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            ]
          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for model in models:\n",
        "    if model[\"label\"] == \"Model_SVM\":\n",
        "        # SVM is super slow with long fingerprints\n",
        "        # and will have a performance similar to RF\n",
        "        # We can skip it in this test, but if you want\n",
        "        # to run it, feel free to replace `continue` with `pass`\n",
        "        continue\n",
        "    print(\"\\n=======\")\n",
        "    print(model[\"label\"])\n",
        "    crossvalidation(model[\"model\"], compound_df, n_folds=N_FOLDS)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SZrmyYVyjdVw",
        "outputId": "88da8cf6-d36e-4344-b6ba-b6c0a3947a03"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=======\n",
            "Model_RF\n",
            "Mean accuracy: 0.86 \tand std : 0.01 \n",
            "Mean sensitivity: 0.90 \tand std : 0.01 \n",
            "Mean specificity: 0.81 \tand std : 0.00 \n",
            "Mean AUC: 0.92 \tand std : 0.01 \n",
            "Time taken : 4.33s\n",
            "\n",
            "\n",
            "=======\n",
            "Model_ANN\n",
            "Mean accuracy: 0.81 \tand std : 0.01 \n",
            "Mean sensitivity: 0.84 \tand std : 0.01 \n",
            "Mean specificity: 0.77 \tand std : 0.00 \n",
            "Mean AUC: 0.88 \tand std : 0.01 \n",
            "Time taken : 25.91s\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7EJUheWSjj_P"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Discussion**\n",
        "Which model performed best on our data set and why?\n",
        "\n",
        "All three models perform (very) well on our dataset. The best models are the random forest and support vector machine models which showed a mean AUC of about 90%. Our neural network showed slightly lower results.\n",
        "There might be several reasons that random forest and support vector machine models performed best. Our dataset might be easily separable in active/inactive with some simple tree-like decisions or with the radial basis function, respectively. Thus, there is not such a complex pattern in the fingerprints to do this classification.\n",
        "A cause for the slightly poorer performance of the ANN could be that there was simply too few data to train the model on.\n",
        "Additionally, it is always advisable to have another external validation set for model evaluation.\n",
        "Was MACCS the right choice?\n",
        "Obviously, MACCS was good to start training and validating models to see if a classification is possible.\n",
        "However, MACCS keys are rather short (166 bit) compared to others (2048 bit), as for example Morgan fingerprint. As shown in the last simulation, having longer fingerprint helps the learning process. All tested models performed slightly better using Morgan fingerprints (see mean AUC increase).\n",
        "Where can we go from here?\n",
        "We successfully trained several models.\n",
        "The next step could be to use these models to do a classification with an unknown screening dataset to predict novel potential EGFR inhibitors.\n",
        "An example for a large screening data set is e.g. MolPort with over 7 million compounds.\n",
        "\n",
        "Our models could be used to rank the MolPort compounds and then further study those with the highest predicted probability of being active.\n",
        "For such an application, see also the TDT Tutorial developed by S. Riniker and G. Landrum, where they trained a fusion model to screen eMolecules for new anti-malaria drugs."
      ],
      "metadata": {
        "id": "TyJ_x3OdjkYY"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "K5yGQeKsjpDZ"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}