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        "author": "Viktor Kirillov",
        "author_email": "kirillovmr@gmail.com",
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            "License :: OSI Approved :: Apache Software License",
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            "Programming Language :: Python :: 3"
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        "description": "# Python Data Pipeline\n\nProcess any type of data in your projects easily, control the flow of your data!\n\n![Python 3.5, 3.6, 3.7](https://img.shields.io/badge/python-3.5%2C%203.6%2C%203.7-blue.svg)\n[![PyPI version](https://badge.fury.io/py/smart-pipeline.svg)](https://badge.fury.io/py/smart-pipeline)\n\n---\n\n### Installation\nInstall `smart-pipeline` with:\n``` bash\npip install -U smart-pipeline\n```\n\n### Usage\nPackage 'smart_pipeline' provides a Pipeline class:\n``` python\n# Import Pipeline class\nfrom smart_pipeline import Pipeline\n\n# Create an instance\npl = Pipeline()\n```\n\nPipeline class has 3 types of pipes: item, data and stat.\n\n**Item pipe** modifies each item in dataset without changing the whole population of data:\n```python\ndata = [1,2,3,4,5]\n\n# Define an item function\ndef addOne(item):\n    return item + 1\n\n# Adds function into pipeline\npl.addItemPipe(addOne)\n# Pass the data through pipeline\nres = pl(data)\n\n# res = [2,3,4,5,6]\n```\n\n**Data pipe** is a filter:\n``` python\ndata = [1,2,3,4,5]\n\ndef onlyOdd(item):\n    return False if item%2==0 else True\n\npl.addDataPipe(onlyOdd)\nres = pl(data)\n\n# res = [1,3,5]\n```\n\n**Stat pipe** reduces over the data, passing the accumulated value to each element:\n``` python\ndata = [1,2,3,4,5]\n\n# Function that goes over all items in dataset\ndef countNumberStat(stats, item):\n    stats[\"total\"] += 1\n    if item%2==0:\n        stats[\"even\"] += 1\n    else:\n        stats[\"odd\"] += 1\n    return stats\n\n# Function to be called at the end with accumulated stats\ndef printNumberStat(stats):\n    print(stats[\"total\"], \"items were processed in total.\")\n    print(stats[\"even\"], \"of them are even.\")\n    print(stats[\"odd\"], \"of them are odd\")\n\n# Make sure to pass initial state as 3rd argument\npl.addStatPipe(countNumberStat, printNumberStat, { \"total\":0, \"even\":0, \"odd\":0 })\npl(data)\n\n# Output:\n# 5 items were processed in total.\n# 2 of them are even.\n# 3 of them are odd\n```\n\n---\n### [Check out some examples](https://github.com/kirillovmr/python-pipeline/tree/master/examples)\n---\n\nIf this library solved some of your problems, please consider starring the project \ud83d\ude09\n\nAnd feel free to create pull requests!\n\n",
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