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        "author": "Shkarupa Alex",
        "author_email": "shkarupa.alex@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Software Development",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# tfmiss\nThe missing OPs, layer & etc. for TensorFlow\n\n## Development\n### Environment\nInstall all [dependencies including python headers](https://www.tensorflow.org/install/install_sources).\nDo not use `pyenv` on MacOS X, otherwise tests mostly likely will fail.\n\n### Build PIP package manually\nYou can build the pip package with Bazel v0.25.3:\n```bash\nexport PYTHON_BIN_PATH=`which python2.7`\n$PYTHON_BIN_PATH -m pip install -U tensorflow  # Only if you did not install it yet\n./configure.sh\nbazel clean --expunge\nbazel test --test_output=errors //tfmiss/...\nbazel build build_pip_pkg\nbazel-bin/build_pip_pkg wheels\n```\n\n### Build release with Linux docker container\n```bash\ndocker run -it -v `pwd`:/tfmiss library/ubuntu:xenial /tfmiss/build_linux_release.sh\n```\n\n### Install and test PIP package\nOnce the pip package has been built, you can install it with:\n```bash\npip install wheels/*.whl\n```\n\nNow you can test out the pip package:\n```bash\ncd /\npython -c \"import tensorflow as tf;import tfmiss as tfu;print(tfu.transform_zero_digits('123').eval(session=tf.Session()))\"\n```\n\nYou should see the op zeroed out all nonzero digits in string \"123\":\n```bash\n000\n```\n\n\n\n\n",
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        "home_page": "https://github.com/shkarupa-alex/tfmiss",
        "keywords": "tensorflow layers ops",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "tfmiss",
        "package_url": "https://pypi.org/project/tfmiss/",
        "platform": "",
        "project_url": "https://pypi.org/project/tfmiss/",
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            "tensorflow (>=2.0.0-alpha0); extra == 'tf_cpu'",
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        "summary": "Missing layers, ops & etc. for TensorFlow",
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