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        "author": "Daniel Domingo-Fern\u00e1ndez",
        "author_email": "ddomingof@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "PubMed2PDF\n==========\n\nA Python package to download PDFs from OA publications in PubMed. The underlying code is forked from\nhttps://github.com/billgreenwald/Pubmed-Batch-Download. Downloaded files are located  by default in your personal folder under the 'pubmed2pdf' directory.\n\n\nInstallation\n------------\n``pubmed2pdf`` can be installed from `PyPI <https://pypi.org/project/pubmed2pdf>`_\nwith the following command in your terminal:\n\n.. code-block:: sh\n\n    $ python3 -m pip install pubmed2pdf\n\nThe latest code can be installed from `GitHub <https://github.com/ddomingof/PubMed2PDF>`_\nwith:\n\n.. code-block:: sh\n\n    $ python3 -m pip install git+https://github.com/ddomingof/PubMed2PDF.git\n\nFor developers, the code can be installed with:\n\n.. code-block:: sh\n\n    $ git clone https://github.com/ddomingof/PubMed2PDF.git\n    $ cd PubMed2PDF\n    $ python3 -m pip install -e .\n\nHow to Use\n----------\n\nPubMed2PDF works by simply typing the list of PubMed identifiers in your command line interface or reading them from a\nfile.\n\nExample from file:\n\n.. code-block:: sh\n\n    $ python3 -m pubmed2pdf pdf --pmidsfile=\"/my/path/to/the/file\"\n\n.. code-block:: sh\n\n    $ python3 -m pubmed2pdf pdf --pmids=\"123, 1234, 12345\"\n\nRun the help command to see all functionalities\n\n.. code-block:: sh\n\n    $ python3 -m pubmed2pdf pdf --help",
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        "license": "MIT License",
        "maintainer": "Daniel Domingo-Fern\u00e1ndez",
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        "summary": "A Python package to download PDFs from OA publications in PubMed",
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