{
    "info": {
        "author": "crohaco",
        "author_email": "crohaco.net@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python",
            "Topic :: Software Development"
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        "description": "Requirements\n============\n\n- Python 2.7 or later.\n\nInstall\n=======\n\n.. code-block:: sh\n\n $ pip install tesdat\n\n\nUsage\n=====\n\nBasic Example\n-------------\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: model = tesdat.getmodel({\n    ...:     'id': tesdat.IncrementPattern(),\n    ...:     'x': tesdat.CyclePattern(['a', 'b', 'c']),\n    ...:     # BLANK will be omit.\n    ...:     'option': tesdat.ChoicePattern([True, False, tesdat.BLANK]),\n    ...: })\n\n In [3]: container = tesdat.ListContainer(model, 5, render=True)\n\n In [4]: container\n Out[4]:\n [{'id': 1, 'x': 'a'},\n  {'id': 2, 'x': 'b', 'option': False},\n  {'id': 3, 'x': 'c', 'option': True},\n  {'id': 4, 'x': 'a'},\n  {'id': 5, 'x': 'b'}]\n\n # specify rewrite=True, if file already exists.\n In [5]: tesdat.JsonFormatter(container).write('/tmp/test.json', rewrite=True)\n\n In [6]: !cat /tmp/test.json\n [\n  {\n   \"x\": \"a\",\n   \"id\": 1\n  },\n  {\n   \"x\": \"b\",\n   \"id\": 2,\n   \"option\": false\n  },\n  {\n   \"x\": \"c\",\n   \"id\": 3,\n   \"option\": true\n  },\n  {\n   \"x\": \"a\",\n   \"id\": 4\n  },\n  {\n   \"x\": \"b\",\n   \"id\": 5\n  }\n ]\n\nTSV Example\n-----------\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: model = tesdat.getmodel([\n    ...:     tesdat.IncrementPattern(start=10, step=5),\n    ...:     tesdat.HashOfPattern(2, 'md5'),  # hashing value of the third column.\n    ...:     tesdat.ChoicePattern(['foo', 'bar', 'baz']),\n    ...:     tesdat.CyclePattern(range(0, 30, 10)),\n    ...: ]).ordering(2)  # render at first index:2(third column)\n\n # IterContainer is saving memory, because generating an element each time.\n In [3]: container = tesdat.IterContainer(model, 10)  # repeat 10 times.\n\n In [4]: tesdat.CsvFormatter(\n    ...:     container,\n    ...:     delimiter='\\t',\n    ...:     header=['id', 'hash-of-name', 'name', 'value']\n    ...: ).write('/tmp/test.csv', rewrite=True)\n\n In [5]: !cat /tmp/test.csv\n id\thash-of-name\tname\tvalue\n 10\tacbd18db4cc2f85cedef654fccc4a4d8\tfoo\t0\n 15\tacbd18db4cc2f85cedef654fccc4a4d8\tfoo\t10\n 20\t73feffa4b7f6bb68e44cf984c85f6e88\tbaz\t20\n 25\tacbd18db4cc2f85cedef654fccc4a4d8\tfoo\t0\n 30\tacbd18db4cc2f85cedef654fccc4a4d8\tfoo\t10\n 35\t73feffa4b7f6bb68e44cf984c85f6e88\tbaz\t20\n 40\t73feffa4b7f6bb68e44cf984c85f6e88\tbaz\t0\n 45\t73feffa4b7f6bb68e44cf984c85f6e88\tbaz\t10\n 50\t37b51d194a7513e45b56f6524f2d51f2\tbar\t20\n 55\t37b51d194a7513e45b56f6524f2d51f2\tbar\t0\n\nCustom Example\n--------------\nif object is callable, store execution result.\n\nModel\n~~~~~\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: def square(k, i):\n    ...:     return k * i\n    ...:\n\n In [3]: container = tesdat.DictContainer(square)\n\n In [4]: container(['a', 'b', 'c', 'd', 'e'])\n Out[4]: {'a': '', 'b': 'b', 'c': 'cc', 'd': 'ddd', 'e': 'eeee'}\n\n\nPattern\n~~~~~~~\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: model = tesdat.getmodel({\n    ...:    'col1': (lambda r, i: i),\n    ...:    'col2': (lambda r: r['col1'] + 1),\n    ...:    'col3': (lambda r: r['col2'] * 2),\n    ...:    'col4': 100,  # fixed value\n    ...: }).ordering('col1', 'col2', 'col3')\n\n In [3]: container = tesdat.ListContainer(model)\n\n In [4]: container(4)\n Out[4]:\n [{'col1': 0, 'col2': 1, 'col3': 2, 'col4': 100},\n  {'col1': 1, 'col2': 2, 'col3': 4, 'col4': 100},\n  {'col1': 2, 'col2': 3, 'col3': 6, 'col4': 100},\n  {'col1': 3, 'col2': 4, 'col3': 8, 'col4': 100}]\n\n\nLimited number of element Example\n---------------------------------\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: model = tesdat.getmodel({\n    ...:     # x: a is 1times limited. / b is 2times limited. / c is 3times limited.\n    ...:     'x': tesdat.PickoutPattern({'a': 1, 'b': 2, 'c': 3}, missing=None),\n    ...:     # y: a is 2times limited. / b and c is 1times limited.\n    ...:     'y': tesdat.PickoutPattern(['a', 'a', 'b', 'c'], missing='*'),\n    ...:     # z: a and b can't be selected. / c is 5times limited.\n    ...:     'z': tesdat.PickoutPattern(['c']*5, missing=None),\n    ...: })\n\n In [3]:\n\n In [3]: container = tesdat.ListContainer(model)\n\n In [4]: container(6)\n Out[4]:\n [{'x': 'a', 'y': 'a', 'z': 'c'},\n  {'x': 'c', 'y': 'b', 'z': 'c'},\n  {'x': 'c', 'y': 'a', 'z': 'c'},\n  {'x': 'b', 'y': 'c', 'z': 'c'},\n  {'x': 'c', 'y': '*', 'z': 'c'},\n  {'x': 'b', 'y': '*', 'z': None}]\n\n\nCombination Example\n-------------------\nTo generate the testdata that combines multiple elements\ncan be achieved by using the repeat-argument of CyclePattern and SequencePattern.\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: l0 = ['a', 'b']\n\n In [3]: l1 = ['a', 'b', 'c']\n\n In [4]: l2 = ['a', 'b', 'c', 'd']\n\n In [5]: model = tesdat.getmodel([\n    ...:     tesdat.SequencePattern(l0, repeat=len(l1)*len(l2), missing=tesdat.ESCAPE),\n    ...:     tesdat.CyclePattern(l1, repeat=len(l2)),\n    ...:     tesdat.CyclePattern(l2),\n    ...: ])\n\n In [6]: container = tesdat.Container(model)\n\n # by specifying the ESCAPE to missing-argument\n # automatically detect end of elements and escape before reaching 10000.\n In [7]: container(10000)\n Out[7]:\n [['a', 'a', 'a'],\n  ['a', 'a', 'b'],\n  ['a', 'a', 'c'],\n  ['a', 'a', 'd'],\n  ['a', 'b', 'a'],\n  ['a', 'b', 'b'],\n  ['a', 'b', 'c'],\n  ['a', 'b', 'd'],\n  ['a', 'c', 'a'],\n  ['a', 'c', 'b'],\n  ['a', 'c', 'c'],\n  ['a', 'c', 'd'],\n  ['b', 'a', 'a'],\n  ['b', 'a', 'b'],\n  ['b', 'a', 'c'],\n  ['b', 'a', 'd'],\n  ['b', 'b', 'a'],\n  ['b', 'b', 'b'],\n  ['b', 'b', 'c'],\n  ['b', 'b', 'd'],\n  ['b', 'c', 'a'],\n  ['b', 'c', 'b'],\n  ['b', 'c', 'c'],\n  ['b', 'c', 'd']]\n\nnested example\n--------------\n\n.. code-block:: python\n\n In [1]: import tesdat\n\n In [2]: model = tesdat.getmodel({\n    ...:     'a': tesdat.getmodel([\n    ...:         tesdat.CyclePattern(['b', 'c']),\n    ...:         tesdat.CyclePattern(['d', 'e']),\n    ...:     ]),\n    ...:     tesdat.ChoicePattern(['f', 'g', 'h']): tesdat.DictContainer(lambda x: x * 2, 5)\n    ...: })\n\n In [3]: tesdat.Container(model, 10, render=True)\n Out[3]:\n [{'a': ['b', 'd'], 'h': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['c', 'e'], 'f': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['b', 'd'], 'f': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['c', 'e'], 'g': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['b', 'd'], 'f': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['c', 'e'], 'h': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['b', 'd'], 'g': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['c', 'e'], 'h': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['b', 'd'], 'h': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}},\n  {'a': ['c', 'e'], 'h': {0: 0, 1: 2, 2: 4, 3: 6, 4: 8}}]\n\ndatetime Utility\n----------------\n\nchoice\n~~~~~~\n\nrandom choice between start and end.\n\n.. code-block:: python\n\n In [1]: from tesdat.utils.datetime import choice\n\n\n In [2]: choice(1988, '2015-11-11T11:11:11.111111')\n Out[2]: datetime.datetime(2009, 11, 30, 23, 25, 43, 240031)\n\n # tuple: datetime(*tuple), dict: datetime(**dict)\n In [3]: choice((1988, 5, 22), {'year': 2015, 'month': 11, 'day': 11})\n Out[3]: datetime.datetime(1996, 7, 1, 11, 14, 59, 314809)\n\n In [4]: from datetime import datetime, date\n\n In [5]: choice(date(1988, 5, 22), datetime(2015, 11, 11, 11, 11, 11))\n Out[5]: datetime.datetime(2011, 3, 23, 19, 39, 14, 476901)\n\ngenerator\n~~~~~~~~~\n\ngenerator that generate the datetime object at regular intervals.\n\n.. code-block:: python\n\n In [1]: from datetime import timedelta\n In [2]: from tesdat.utils.datetime import generator\n\n # if you omit end-argument, then it creates an object infinitely.\n In [3]: g = generator(start=2015, interval=timedelta(days=1, hours=12))\n\n In [4]: next(g)\n Out[4]: datetime.datetime(2015, 1, 1, 0, 0)\n\n In [5]: next(g)\n Out[5]: datetime.datetime(2015, 1, 2, 12, 0)\n\n In [6]: next(g)\n Out[6]: datetime.datetime(2015, 1, 4, 0, 0)\n\n In [7]: next(g)\n Out[7]: datetime.datetime(2015, 1, 5, 12, 0)\n\nrange\n~~~~~\n\ngenerate list object that includes regularly generated datetime objects element.\n\n.. code-block:: python\n\n In [1]: from datetime import timedelta\n In [2]: from tesdat.utils.datetime import range\n\n In [3]: range(2015, '2015/2/1')\n Out[3]:\n [datetime.datetime(2015, 1, 1, 0, 0),\n  datetime.datetime(2015, 1, 2, 0, 0),\n  datetime.datetime(2015, 1, 3, 0, 0),\n  datetime.datetime(2015, 1, 4, 0, 0),\n  datetime.datetime(2015, 1, 5, 0, 0),\n  datetime.datetime(2015, 1, 6, 0, 0),\n  datetime.datetime(2015, 1, 7, 0, 0),\n  datetime.datetime(2015, 1, 8, 0, 0),\n  datetime.datetime(2015, 1, 9, 0, 0),\n  datetime.datetime(2015, 1, 10, 0, 0),\n  datetime.datetime(2015, 1, 11, 0, 0),\n  datetime.datetime(2015, 1, 12, 0, 0),\n  datetime.datetime(2015, 1, 13, 0, 0),\n  datetime.datetime(2015, 1, 14, 0, 0),\n  datetime.datetime(2015, 1, 15, 0, 0),\n  datetime.datetime(2015, 1, 16, 0, 0),\n  datetime.datetime(2015, 1, 17, 0, 0),\n  datetime.datetime(2015, 1, 18, 0, 0),\n  datetime.datetime(2015, 1, 19, 0, 0),\n  datetime.datetime(2015, 1, 20, 0, 0),\n  datetime.datetime(2015, 1, 21, 0, 0),\n  datetime.datetime(2015, 1, 22, 0, 0),\n  datetime.datetime(2015, 1, 23, 0, 0),\n  datetime.datetime(2015, 1, 24, 0, 0),\n  datetime.datetime(2015, 1, 25, 0, 0),\n  datetime.datetime(2015, 1, 26, 0, 0),\n  datetime.datetime(2015, 1, 27, 0, 0),\n  datetime.datetime(2015, 1, 28, 0, 0),\n  datetime.datetime(2015, 1, 29, 0, 0),\n  datetime.datetime(2015, 1, 30, 0, 0),\n  datetime.datetime(2015, 1, 31, 0, 0),\n  datetime.datetime(2015, 2, 1, 0, 0)]\n\n # +-3 hour noise, +5 minute noise\n In [4]: range(2015, '2015-01-15', hours=3, minutes=(0, 5))\n Out[4]:\n [datetime.datetime(2015, 1, 1, 3, 1),\n  datetime.datetime(2015, 1, 2, 0, 3),\n  datetime.datetime(2015, 1, 3, 2, 0),\n  datetime.datetime(2015, 1, 3, 22, 2),\n  datetime.datetime(2015, 1, 4, 22, 3),\n  datetime.datetime(2015, 1, 6, 0, 2),\n  datetime.datetime(2015, 1, 7, 0, 4),\n  datetime.datetime(2015, 1, 8, 0, 4),\n  datetime.datetime(2015, 1, 8, 21, 3),\n  datetime.datetime(2015, 1, 9, 22, 0),\n  datetime.datetime(2015, 1, 11, 0, 0),\n  datetime.datetime(2015, 1, 11, 22, 1),\n  datetime.datetime(2015, 1, 12, 22, 5),\n  datetime.datetime(2015, 1, 14, 3, 0),\n  datetime.datetime(2015, 1, 15, 2, 5)]\n\n # it is able to specify minus direction as interval.\n In [5]: range(start='2015-5-22', end='2015-04-22', interval=timedelta(days=-1))\n Out[5]:\n [datetime.datetime(2015, 5, 22, 0, 0),\n  datetime.datetime(2015, 5, 21, 0, 0),\n  datetime.datetime(2015, 5, 20, 0, 0),\n  datetime.datetime(2015, 5, 19, 0, 0),\n  datetime.datetime(2015, 5, 18, 0, 0),\n  datetime.datetime(2015, 5, 17, 0, 0),\n  datetime.datetime(2015, 5, 16, 0, 0),\n  datetime.datetime(2015, 5, 15, 0, 0),\n  datetime.datetime(2015, 5, 14, 0, 0),\n  datetime.datetime(2015, 5, 13, 0, 0),\n  datetime.datetime(2015, 5, 12, 0, 0),\n  datetime.datetime(2015, 5, 11, 0, 0),\n  datetime.datetime(2015, 5, 10, 0, 0),\n  datetime.datetime(2015, 5, 9, 0, 0),\n  datetime.datetime(2015, 5, 8, 0, 0),\n  datetime.datetime(2015, 5, 7, 0, 0),\n  datetime.datetime(2015, 5, 6, 0, 0),\n  datetime.datetime(2015, 5, 5, 0, 0),\n  datetime.datetime(2015, 5, 4, 0, 0),\n  datetime.datetime(2015, 5, 3, 0, 0),\n  datetime.datetime(2015, 5, 2, 0, 0),\n  datetime.datetime(2015, 5, 1, 0, 0),\n  datetime.datetime(2015, 4, 30, 0, 0),\n  datetime.datetime(2015, 4, 29, 0, 0),\n  datetime.datetime(2015, 4, 28, 0, 0),\n  datetime.datetime(2015, 4, 27, 0, 0),\n  datetime.datetime(2015, 4, 26, 0, 0),\n  datetime.datetime(2015, 4, 25, 0, 0),\n  datetime.datetime(2015, 4, 24, 0, 0),\n  datetime.datetime(2015, 4, 23, 0, 0),\n  datetime.datetime(2015, 4, 22, 0, 0)]\n\ncommon\n~~~~~~\n\n**noise**\n\npossible to specify the gap between the actual time as noise parameters.\nallow to specify the noise parameters are \u201cdatetimes.generator\u201d and \u201cdatetimes.range\u201d functions.\nnoise-arguments must be specified in the kwargs format. and not required.\nthe available keys are same with timedelta-args. specifically, it is the following.\n\n- days\n- hours\n- minute\n- seconds\n- microseconds\n\n**argtype**\n\nacceptable argument as datetime other than datetime type are following.\n\n:int: it is processed as year.\n:str or unicode: create datetime object in the numeric part of string.\n:tuple: it is processed as (year, month, day)\n:dict: these items are processed as datetime arguments.\n:date: hour:minute:second is complemented with 00:00:00.\n\nhistory\n-------\n2.1.0\n~~~~~\n\n- added examples.\n\n  - datetime utils.\n  - nested object.\n\n- refectored.\n- replaced custom model argument.\n- swapped the order of the argument of custom model.\n\n  - (index, key) to (key, index)",
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