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    "info": {
        "author": "Zian van Wijk",
        "author_email": "zian@cognizon.com",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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            "Programming Language :: Python :: 3"
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        "description": "# IterPipe\n## Introduction\nThis is a wrapper for the iterator functions in the Python Standard Library to make it easier and more readable to chain them together into a pipeline.\n\nIt is a way to implement Martin Fowler's _Collection Pipeline_ pattern (https://martinfowler.com/articles/collection-pipeline/) with Python's standard iterator functions.\n\nTo illustrate the concept, we will perform the following sequence of steps in each example:\n\n1. Start with a `range` iterator,\n2. Then `filter` to pass only the values larger or equal to 6\n3. Then square each number from step 2, using the `map` function\n4. Then `sum` the squares from step 3\n\nHere is the code, using intermediate variables, without chaining.\n```python\ndef filter_func(x):\n    # Simple function used in \"filter\" examples below\n    return x >= 6\n\n\ndef squared(x):\n    # Simple function to square it's input.  Used in \"map\" below.\n    return x * x\n\ninput = range(10)\n\nintermediate_1 = filter(filter_func, input)\n\n# Apply squared function to each value returned by intermediate_1 iterator\nintermediate_2 = map(squared, intermediate_1)\n\noutput = sum(intermediate_2)\n\nprint(\"Output without chaining: {output}\".format(output=output))\n```\n\nHere is the same code, using regular Python syntax chaining. Note that execution happens inside-out, with the last operation (sum) appearing first.\n```python\ndef filter_func(x):\n    return x >= 6\n\n\ndef squared(x):\n    # Simple function to square it's input.  Used in \"map\" below.\n    return x * x\n\ninput = range(10)\n\noutput = sum(map(squared, filter(filter_func, input)))\n\nprint(\"Output with regular Python chaining: {output}\".format(output=output))\n```\n\nAnd here is the same code again, using the `IterPipe` wrapper. Note that it reads in the same order as execution happens.\n```python\nfrom IterPipe import IterPipe\n\ndef filter_func(x):\n    return x >= 6\n\n\ndef squared(x):\n    # Simple function to square it's input.  Used in \"map\" below.\n    return x * x\n\ninput = range(10)\n\noutput = (IterPipe(input) \n          .filter(filter_func)\n          .map(squared)\n          .sum()\n          )\n\nprint(\"Output with IterPipe chaining: {output}\".format(output=output))\n``` \n\nThe IterPipe wrapper supports the following functions that operate on iterators from `builtins`, `itertools` and `functools`.\n\n+ accumulate\n+ all\n+ any\n+ chain\n+ combinations\n+ combinations_with_replacement\n+ compress\n+ cycle\n+ dict\n+ dropwhile\n+ enumerate\n+ filter\n+ filterfalse\n+ frozenset\n+ groupby\n+ islice\n+ iterator\n+ list\n+ map\n+ max\n+ min\n+ next\n+ permutations\n+ product\n+ reduce\n+ set\n+ sorted\n+ starmap\n+ sum\n+ takewhile\n+ tee\n+ tuple\n+ zip\n+ zip_longest\n\n## Installation\n\nWorks with Python 3.4 or later.\n\n```\npip install -U IterPipe\n```\n\n",
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