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OpenEye / packages / OpenEye-toolkits-python3.9-win64 2023.1.0

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  • Last upload: 1 year and 6 months ago

Installers

Info: This package contains files in non-standard labels.

pip install

To install this package run one of the following:
pip install -i https://pypi.anaconda.org/openeye/simple openeye-toolkits-python3.9-win64
pip install -i https://pypi.anaconda.org/openeye/label/archived/simple openeye-toolkits-python3.9-win64

Description

.. installpython_windows:

    ********
    Windows
    ********

    Installing Python on Windows
    ========================================================================

    .. note::

       Python is not generally installed by default on Windows and may need to be installed, possibly in a virtual environment.  The toolkits can be used with *Anaconda*, virtualenv, and venv and can be both conda and pip installed.

       However python can be downloaded from http://www.python.org/download/ and installed on your system if desired.


    Installing OpenEye Python Toolkits As A Conda package
    ========================================================================

    The simplest way to install the **OpenEye Python Toolkits** is as a
    Conda package.

    The *Anaconda* package can be downloaded from
    https://www.anaconda.com/distribution/ for Windows, macOS and Linux
    platforms. Follow the very simple instructions given there for
    installation.

    ..  note::

       While Anaconda is available free of charge for personal use, users may need to purchase an Anaconda license if
       they are doing commercial development.
       Please check the `Anaconda license terms <https://www.anaconda.com/anaconda-commercial-edition>`_.

    For first time users we also recommend reading
    `Getting started with conda <https/conda.pydata.org/docs/test-drive.html>`_ and print out the
    `Conda user cheat sheet <http://know.continuum.io/rs/387-XNW-688/images/conda-cheatsheet.pdf>`_
    reference.

    .. note::

       **OpenEye Python Toolkits** only supports Python3.

    After downloading and installing *Anaconda*, the **OpenEye Python
    Toolkit** package can be installed by the following steps:

    1. First create a new conda environment with the **OpenEye Python Toolkit** package

       .. code-block::

          $ conda create -n oepython -c openeye openeye-toolkits

          Solving environment: done

          ## Package Plan ##

            environment location: C:\Users\username\anaconda3\envs\oepython

            added / updated specs:
              - openeye-toolkits

            The following packages will be downloaded:

            ...

            The following NEW packages will be INSTALLED:

            ...
            openeye-toolkits: |pypkgversion| -py39_0        openeye
            ...

            Proceed ([y]/n)?

       After entering "y" to proceed, a new 'oepython' environment will be created
       be activated with the **OpenEye Python Toolkit** package.

    |

    2. Activate the newly created 'oepython' environment:

       .. code-block::

          $ conda activate oepython

    3. Run the **OpenEye** example `oecheminfo.py` to verify the installation
       has completed successfully:

       .. code-block::

          (oepython) $ oecheminfo.py
          Installed OEChem version: |oechemversion| platform: microsoft-win64-msvc17-x64 built: |builddate|
          ...

    Alternative Installation Strategies
    ========================================================================

    * To install **OpenEye Python Toolkits** in existing environments:

      .. toctree::
         :maxdepth: 1

         windows_anaconda.rst
         windows_virtualenv.rst

      The above two ways are highly recommended since it is considered
      harmful to install packages into your global Python installation.


    For assistance with unusual installation environments such as systems
    without network access or heterogeneous clusters, please contact
    support at [email protected].


    .. note::

       In order to follow the
       `PEP 440 <http://www.python.org/dev/peps/pep-0440>`_ guidelines on
       versions, the version label for the python toolkit
       is |pypkgversion| instead of |pkgversion|.


    .. _section_python_test_windows:

    Integration Testing
    ========================================================================

    The **OpenEye Python Toolkits** ship with a simple set of integration
    tests to make sure all the libraries function as intended. The test suite
    is not as exhaustive as the test suite used internally, it is just meant to
    ensure the **OpenEye Python Toolkits** infrastructure is working as intended.

    .. warning::

       Running the integration test requires *scripttest* and *nose*
       Python packages. These packages will be installed on-the-fly, if
       necessary. Again using *conda* or *virtualenv* environments
       will ensure that these packages will not be installed into the global
       Python environment.

    To run the integration test suite (after activating the environment
    into which **OpenEye Python Toolkits** has been installed), execute the
    following command::

       $ python -m openeye.examples.openeye_tests

    A message like the following will be shown if all the tests were run
    successfully::

       Requirement already satisfied: pytest
       Requirement already satisfied: py>=1.4.29
       Collecting scripttest
       Installing collected packages: scripttest
       Successfully installed scripttest-1.3
       Ran 42 tests in 95.877s

       OK

    Tests are skipped when the license is invalid/expired/doesn't exist or
    if functionally is not supported on the OS/platform.
    For example, when using a license file that only contains an **OEChem TK**
    license, a large number of tests will be skipped::

       SSSSSSSSSSSSSSS.......SSSSSSSSSSSSSSSSSSS
       ----------------------------------------------------------------------
       Ran 42 tests in 0.956s

       OK (SKIP=34)

    Similarly, FastROCS, GPU-OMEGA, and GPU-GRAPHSIM tests are skipped on macOS, Windows, and Linux systems
    without appropriate GPU hardware since their functionality is not available.

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