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        "author": "Santosh Philip",
        "author_email": "santosh_philip@yahoo.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Software Development :: Build Tools"
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        "description": "Envvars\n=======\n\nHelper function to read the environment variables in the development machine and on the production machine (only for heroku.com)\n\nWhat is the purpose of this library\n-----------------------------------\n\nThis Library will help you read the environment variables needed to run your software\n\n- An example of the environment variables would be:\n    - database_login = datamaster\n    - database_password = asdlf@#$kkLK!@)(\"\")\n    - DATABASE_URL = postgres://dsdsfd:asdfasgsdfgjjkdty.compute-1.amazonaws.com:532/jj4566ls\n\nYou are likely to have the variable stored differently in your development and production environment:\n\n- In your development/local machine:\n    - these files are stored in a local text file (usually called .env)\n    - your code will open the file, parse the text and read the variable\n- If your production environment is heroku.com\n    - you can get the variables by `os.environ()`\n\nAs you can see, the code to read the env variable is different in the development machine and the production machine\n\nEnvars a function that will read it transparently from the development or production machine using the same code\n\n\nHow to use this library\n-----------------------\n\nUsage:\n\n    import envars.envars as envars\n    e_dct = envars.getenvars()\n\nThe environment variables are now in e_dct. Assuming you are running on a local machine and have a .env file that looks like this:\n\n    a=1\n    b=2\n\nYou can look at the values in e_dct:\n\n    >> print e_dct\n    defaultdict(<function <lambda> at 0x10cddbd70>, {'a': '1', 'b': '1'})\n\n    >> print e_dct['a'] \n    '1'\n\nIf you are on the production machine at heroku.com, make sure you have the following variable in the heroku environment.\n\n    ENV_NOW=production\n\nEnvars uses this as a sign that you are on the production environment and will read it correctly. Now, on the production environment, you code will do the following:\n\n    >> print e_dct\n    defaultdict(<function <lambda> at 0x10cddbd70>, {\"ENV_NOW\":\"production\", 'a': '1', 'b': '1'})\n\n    >> print e_dct['a'] \n    '1'\n\n    >> print e_dct['ENV_NOW'] \n    'production'\n\n\n\nLimitations of this library\n---------------------------\n\nDesigned only for Heroku.com as production environment \n\n",
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