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    "info": {
        "author": "DeepAir Dev",
        "author_email": "naman@deepair.io",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "## Deep Developer Utilities\n\nThis package consists of developer utilities specifically used for data operations and handeling within deep air environment.\n\n## Package structure\n\n`deepair_dev_utils`\n.\n\u251c\u2500\u2500 general\n\u2502\u00a0\u00a0 \u251c\u2500\u2500 __init__.py\n\u2502\u00a0\u00a0 \u2514\u2500\u2500 tools.py\n\u251c\u2500\u2500 __init__.py\n\u2514\u2500\u2500 loader\n    \u251c\u2500\u2500 __init__.py\n    \u2514\u2500\u2500 tools.py\n\n2 directories, 5 files\n\n## Dependencies\n\n**Note**: The following python3 packages are necessary for this package to run:\n\n* numpy\n* scipy\n* pandas\n* sklearn\n* tqdm\n\n## Function Declarations\n\nHere are the signatures for the functions in the package that can be used for deepair-dev.\n\n### general.py\n\nBelow are the functions that can be accessed by importing this module as `from deepair_dev_utils.general.tools import <function_name>`.\n\n`log`:\n```\ndef log(message):\n    '''\n        prints message on console\n        input :\n            message     : msg to print (string)\n    '''\n```\n\n`get_data`:\n```\ndef get_data(path):\n    '''\n        Single file loader function\n        input :\n            path     : abs path to load from (string)\n    '''\n```\n\n`daterange`:\n```\ndef daterange(s_date, e_date):\n    '''\n        To return a list of all the dates from\n        start date to end date (excluding end date)\n        input :\n            s_date     : start date (datetime)\n            e_date     : end date (datetime)\n        returns :\n            list of dates\n    '''\n```\n\n`jsonReader`:\n```\ndef jsonReader(path):\n    '''\n        JSON File Reader (from absolute path).\n        Args:\n            path   : absolute path of json file (string)\n        Return:\n            data   : loaded JSON\n    '''\n```\n\n`jsonWriter`:\n```\ndef jsonWriter(data, path):\n    '''\n        JSON File Writer (to absolute path).\n        Args:\n            data   : data to write (JSON/DICT/STRING)\n            path   : absolute path of json file (string)\n    '''\n```\n\n`ddmmyyyy2datetime`:\n```\ndef ddmmyyyy2datetime(start_date):\n    '''\n        Convert dd-mm-yyyy to std data time format.\n        Args:\n            start_date   : date with dd-mm-yyyy (string)\n        Return:\n            date   : converted format\n    '''\n```\n\nBelow are the decorators that can be accessed by importing this module as `from deepair_dev_utils.general.decorators import <decorator_name>`.\n\n`function_logger`:\n```\ndef function_logger(orig_func):\n    '''\n        Create a file with function.log (if possible)\n        otherwise with unknown_function.log and record\n        the arguments passed for the function\n\n        example:\n        @function_logger\n        def target_function(...):\n            ...\n    '''\n```\n\n`function_timer`:\n```\ndef function_timer(orig_func):\n    '''\n        Displays runtime on console\n\n        example:\n        @function_timer\n        def target_function(...):\n            ...\n    '''\n```\n\n\n### Loader\n\nThis subpackage contains tools for loading data as `Handler`.\n\n#### Handler\n\nBelow are the functions that can be accessed by importing this module as `from deepair_dev_utils.loader.tools import Handler`.\n\nThen create an object to access the fuctions. example `obj = Handler()` and then `obj.<function_name>`\n\n`__init__`:\n```\ndef __init__(self, verbose=True):\n    '''\n        Handlder (class) constructor.\n        inputs:\n            verbose: Indicator for log and progress bar (bool)\n    '''\n```\n\n`loader`:\n```\ndef loader(self, dir_path, start_date, end_date,\n           prefix='', postfix='', ext='.csv'):\n    '''\n        Primary loader function to load the data from start date to\n        end date in concatinated (single dataframe) format.\n        inputs:\n            dir_path    : absolute path to the directory path (series)\n            start_date  : load start date in dd-mm-yyyy format (string)\n            end_date    : load end date in dd-mm-yyyy format (string)\n            prefix      : file prefix [if necessary] (string)\n            postfix     : file postfix [if necessary] (string)\n            ext         : file extension [default is .csv] (string)\n        return:\n            df:  loaded concatenated dataframe (pandas df)\n    '''\n```\n\n`loader_v2`:\n```\ndef loader_v2(self, dir_path, start_date, end_date,\n              prefix='', postfix='', ext='.csv'):\n    '''\n        (VERSION 2)\n        Primary loader function to load the data from start date to\n        end date in concatinated (single dataframe) format.\n        inputs:\n            dir_path    : absolute path to the directory path (series)\n            start_date  : load start date in yyyy-mm-dd format (string)\n            end_date    : load end date in yyyy-mm-dd format (string)\n            prefix      : file prefix [if necessary] (string)\n            postfix     : file postfix [if necessary] (string)\n            ext         : file extension [default is .csv] (string)\n        return:\n            df:  loaded concatenated dataframe (pandas df)\n    '''\n```\n\n`single_loader`:\n```\ndef single_loader(self, dir_path, start_date, end_date,\n                  prefix='', postfix='', ext='.csv'):\n    '''\n        Single loader function to load the data from start date to\n        end date in individual datewise (each dataframe is of one date)\n        format.\n        inputs:\n            dir_path    : absolute path to the directory path (series)\n            start_date  : load start date in dd-mm-yyyy format (string)\n            end_date    : load end date in dd-mm-yyyy format (string)\n            prefix      : file prefix [if necessary] (string)\n            postfix     : file postfix [if necessary] (string)\n            ext         : file extension [default is .csv] (string)\n        return:\n            data:  list of data frames datewise (list)\n  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Bottle neck pipeline within load.\n        NOTE -> Default job of this function is pass i.e. do nothing\n        inputs:\n            df:  Dataframe to apply this method on (pandas df)\n        return:\n            df:  Modified dataframe (pandas df)\n    '''\n```\n\n\n",
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