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        "author": "Edmund Pfeil",
        "author_email": "edmundpf@buffalo.edu",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Data Type Tools\n[![Build Status](https://travis-ci.org/edmundpf/datatype_tools.svg?branch=master)](https://travis-ci.org/edmundpf/datatype_tools)\n[![PyPI version](https://badge.fury.io/py/datatype-tools.svg)](https://badge.fury.io/py/datatype-tools)\n> Includes useful helper methods for Python's immutable data types using the *forbiddenfruit* library.\n## Install\n* `python3 -m pip install datatype-tools`\n## Usage\n* Import single datatype\n\t* `from datatype_tools.lib import Float`\n* Import all datatypes\n\t* `from datatype_tools.lib import *`\n## Dict Tools\n* *sort_by_val*\n\t * Sorts dictionary by values, expects dictionary with a depth of 1\n\t\t ``` python\n\t\t >>> obj = {'a': 3, 'b': 1, 'c': 2}\n\t\t >>> obj.sort_by_val(sort_type='int')\n\t\t {'b': 1, 'c': 2, 'a': 3}\n\t\t ```\n\t* Arguments\n\t\t* *self*: dictionary\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *sort_type*: string ('string')\n\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t* Date Type is a string representing a date\n\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t* Returns original data type\n\t\t* *date_input*: string ('mdy')\n\t\t\t* Date input format\n\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted dict\n* *sort_by_key*\n\t* Sorts dictionary by keys, expects dictionary with a depth of 1\n\t\t ``` python\n\t\t >>> obj = {'c': 1, 'a': 3, 'b': 2}\n\t\t >>> obj.sort_by_key(sort_type='string')\n\t\t {'a': 3, 'b': 2, 'c': 1}\n\t\t ```\t\n\t* Arguments\n\t\t* *self*: dictionary\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *sort_type*: string ('string')\n\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t* Date Type is a string representing a date\n\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t* Returns original data type\n\t\t* *date_input*: string ('mdy')\n\t\t\t* Date input format\n\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted dict\n* *nested_sort*\n\t* Sorts dictionary by nested key value\n\t\t ``` python\n\t\t >>> obj = {'a': {'b': {'c': 2}}, 'b': {'b': {'c': 1}}}\n\t\t >>> obj.nested_sort(nested_args=[{'keys': ['b', 'c'], 'sort_type': 'int'}])\n\t\t {'b': {'b': {'c': 1}}, 'a': {'b': {'c': 2}}}\n\t\t ```\n\t* Arguments\n\t\t* *self*: dictionary\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *nested_args*: list\n\t\t\t* List of sort argument dicts, can include multiple to sort by multiple nested keys respectively\n\t\t\t* Args\n\t\t\t\t* *keys*: list\n\t\t\t\t\t* list of nested keys respectively i.e. ['b', 'c', 'd'] will sort by key ['b']['c']['d']\n\t\t\t\t* *sort_type*: string ('string')\n\t\t\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t\t\t* Date Type is a string representing a date\n\t\t\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t\t\t* Returns original data type\n\t\t\t\t* *date_input*: string ('mdy')\n\t\t\t\t\t* Date input format\n\t\t\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted dict\n## List Tools\n* *sort_by_val*\n\t * Sorts list of dictionaries by values, expects dictionaries with a depth of 1\n\t\t ``` python\n\t\t >>> li = [{'a': 3}, {'b': 1}, {'c': 2}]\n\t\t >>> li.sort_by_val(sort_type='int')\n\t\t [{'b': 1}, {'c': 2}, {'a': 3}]\n\t\t ```\n\t* Arguments\n\t\t* *self*: list\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *sort_type*: string ('string')\n\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t* Date Type is a string representing a date\n\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t* Returns original data type\n\t\t* *date_input*: string ('mdy')\n\t\t\t* Date input format\n\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted list\n* *sort_by_key*\n\t* Sorts list of dictionaries by keys, expects dictionaries with a depth of 1\n\t\t ``` python\n\t\t >>> li = [{'c': 1}, {'a': 3}, {'b': 2}]\n\t\t >>> li.sort_by_key(sort_type='string')\n\t\t [{'a': 3}, {'b': 2}, {'c': 1}]\n\t\t ```\t\n\t* Arguments\n\t\t* *self*: list\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *sort_type*: string ('string')\n\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t* Date Type is a string representing a date\n\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t* Returns original data type\n\t\t* *date_input*: string ('mdy')\n\t\t\t* Date input format\n\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted list\n* *sort_by_key_val*\n\t* Sorts list of dictionaries by specific key value, expects dictionaries with a depth of 1\n\t\t ``` python\n\t\t >>> li = [{'a': 1, 'b': 2}, {'a': 2, 'b': 1}]\n\t\t >>> li.sort_by_key_val(key='b', sort_type='string')\n\t\t [{'a': 2, 'b': 1}, {'a': 1, 'b': 2}]\n\t\t ```\t\n\t* Arguments\n\t\t* *self*: list\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *sort_type*: string ('string')\n\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t* Date Type is a string representing a date\n\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t* Returns original data type\n\t\t* *date_input*: string ('mdy')\n\t\t\t* Date input format\n\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted list\n* *nested_sort*\n\t* Sorts list of dictionaries by nested key value\n\t\t ``` python\n\t\t >>> li = [{'a': {'b': {'c': 2}}}, {'b': {'b': {'c': 1}}}]\n\t\t >>> li.nested_sort(nested_args=[{'keys': ['b', 'c'], 'sort_type': 'int'}])\n\t\t [{'b': {'b': {'c': 1}}}, {'a': {'b': {'c': 2}}}]\n\t\t ```\n\t* Arguments\n\t\t* *self*: list\n\t\t* *asc*: boolean (True)\n\t\t\t* Ascending order when True, Descending when False\n\t\t* *nested_args*: list\n\t\t\t* List of sort argument dicts, can include multiple to sort by multiple nested keys respectively\n\t\t\t* Args\n\t\t\t\t* *keys*: list\n\t\t\t\t\t* list of nested keys respectively i.e. ['b', 'c', 'd'] will sort by key ['b']['c']['d']\n\t\t\t\t* *sort_type*: string ('string')\n\t\t\t\t\t* Data Type for sort, includes 'string', 'int', 'float', and 'date' types\n\t\t\t\t\t* Date Type is a string representing a date\n\t\t\t\t\t* Data does not need to match type i.e. a string with an int value '1'\n\t\t\t\t\t* Returns original data type\n\t\t\t\t* *date_input*: string ('mdy')\n\t\t\t\t\t* Date input format\n\t\t\t\t\t* i.e. 'ymd', 'mdy', etc.\n\t* Returns sorted list\n## String Tools\n* *replace_multiple*\n\t* Replace multiple substrings or characters in a string with their respective replacements\n\t\t``` python\n\t\t>>> 'The Apple is Red'.replace_multiple({'Apple': 'Grass', 'Red': 'Green'})\n\t\t'The Grass is Green'\n\t\t```\n\t* Arguments\n\t\t* *self*: string\n\t\t* *dictionary*: dict\n\t\t\t* dict keys are the values to replace, and key values will be their respective replacements in the string\n\t* Returns string with replacements\n* *format_date*\n\t* Formats string representing date in multiple formats\n\t\t``` python\n\t\t>>> '1/01/75'.format_date(date_input='mdy', date_format='mmddyyyy', delimiter='-')\n\t\t'01-01-1975'\n\t\t```\n\t* Arguments\n\t\t* *self*: string\n\t\t* *date_input*: string ('mdy')\n\t\t\t* date input order, i.e. 'mdy' for month, day, year, and 'ymd' for year, month, day\n\t\t* *date_format* string ('mmddyy')\n\t\t\t* date output format, the number of each letter correspond to date digits, i.e. a date with 'mmddyyyy' will have 4 digits for year while a date with 'mmddyy' will only have 2 digits for year\n\t\t* delimiter: string ('')\n\t\t\t* delimiter for date output, i.e. '/' yields 01/01/2019\n\t* Returns formatted date string\n* *find_nth*\n\t* Find nth occurence of substring in string\n\t\t``` python\n\t\t>>> 'apple picking'.find_nth('p', 3)\n\t\t11\n\t\t```\n\t* Arguments\n\t\t* *self*: string\n\t\t* *string*: string\n\t\t\t* substring to search in string\n\t\t* *n*: int\n\t\t\t* 1-based occurence number of substring to find in string.\n\t* Returns int index\n* *b64_enc*\n\t* Base64 encode string\n\t``` python\n\t>>> 'plain_text'.b64_enc()\n\t'cGxhaW5fdGV4dA=='\n\t```\n\t* Arguments\n\t\t* *self*: string\n\t* Returns string\n* *b64_dec*\n\t* Base64 decode string\n\t``` python\n\t>>> 'cGxhaW5fdGV4dA=='.b64_dec()\n\t'plain_text'\n\t```\n\t* Arguments\n\t\t* *self*: string\n\t* Returns string\n* *get_iso_date*\n\t* Get ISO Date from string\n\t``` python\n\t>>> '2019-05-27T19:09:04.285211Z'.get_iso_date()\n\t{'date': '05/27/2019', 'time': '19:09:04', 'micros': '285211', 'date_and_time': '05/27/2019-19:09:04', 'full_date': '05/27/2019-19:09:04.285211'}\n\t```\n\t* Arguments\n\t\t* *self*: string\n\t\t* 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