{
    "info": {
        "author": "Said Ali",
        "author_email": "said.ali@msn.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "Iterable_orm\n============\n\n.. image:: https://img.shields.io/pypi/v/iterable_orm.svg\n    :target: https://pypi.python.org/pypi/iterable_orm\n    :alt: Latest PyPI version\n\n.. image:: https://travis-ci.org/Said007/iterable_orm.svg?branch=master\n   :target: https://travis-ci.org/Said007/iterable_orm\n   :alt: Latest Travis CI build status\n\n\nIterable_orm allows you to filter, exclude and sort data using similer API provided by Django ORM. The data needs to be a list of objects or dictionary. Python 2 & 3 is supported.\n\nIterable_orm gives you the following API\n\nfilter - Returns a new list of objects or dictionaries that match the given lookup parameters\n\nexclude - Returns a new list of objects or dictionaries that do not match the given lookup parameters\n\nget - Returns a single object or dictionary if there's two matches returns an exception \n\norder_by - Returns a list ordered objects or dictionaries\n\nfirst - Returns the first object or dictionary of filtered or exlcude data\n\nlast - Returns the first object or dictionary of filtered or exlcude data\n\ncount - Returns a lenth of filtered or exlcude or dictionaries\n\n*Please note that Iterable_orm does not support Q like objects offered by Django ORM, but offers a way around by passing anonymous function to filter or exclude function e.g manager.filter(age=lambda x: x >= 20 and x <= 30)*\n\n\nBasic Usage\n-----------\n\nPass a list of objects or dictionary to Queryset\n\n.. code:: python\n\n    from iterable_orm import QuerySet\n    Accounts = [ A list of account objects that have attrubtes such as name, email, age, gender ect ]\n    manager = Queryset(Accounts)\n\n\nFiltering and Excluding\n-----------------------\n\nYou can filter and exclude data by value or lookups, such as gt, gte, lt, lte, startswith, istartswith, endswith, contains, icontains, value_in, value_not_in, value_range, date_range(expects a datetime object) or anonymous function.\n\niterable_orm also allows you to filter related objects using the standard double-underscore notation to separate related fields, e.g manager.filter(parent__name='John'), this filters by parent.child == 'John'.\n\nAll filtering and exlcuding are lazy so you can construct as many filtering as you like and its only evaluated on iterating, calling count, first, last and order_by. \n\nBelow are code examples of filtering and excluding, \n\n.. code:: python\n\n    from iterable_orm import QuerySet\n    Accounts = [A list of account objects that have attrubtes such as name, email, age, gender ect ]\n    manager = Queryset(Accounts)\n\n    # Filter accounts with age greater than 25 and exclude if gender is male\n    data = manager.filter(age__gt=20).exclude(gender='male')\n    \n    # Filter using lamda  \n    data = manager.filter(age=lambda x: x >= 20 and x <= 30).exclude(gender='male')\n\n    # Filter accounts with the name starting with letter 's' and gender is female\n    data = manager.filter(name__istartswith='s').exclude(gender='female')\n    \n   # Filter accounts who have registred from 2014 till 2016 of current date and who are a female\n    data = manager.filter(registered__date_range=(datetime.today().replace(year=2014), datetime.today().replace(year=2016))).exclude(gender='female')\n\n   # Filter accounts who have registred from 01-01-2015 till 2016 and who are a female if date is string object\n    data = manager.filter(registered__date_range=('01-01-2015', '01-01-2016')).exclude(gender='female')\n\n\nFiltering\n---------\n\nYou can filter data by value or lookups, such as gt, gte ect.\n\nBelow are code examples of filtering, \n\n.. code:: python\n\n    from iterable_orm import QuerySet\n    Accounts = [A list of account objects that have attrubtes such as name, email, age, gender ect ]\n    manager = Queryset(Accounts)\n\n    # Filter accounts with age greater that 25 \n    data = manager.filter(age__gt=20)\n\n    # Filter accounts with age less that 25 and who are a male\n    data = manager.filter(age__lt=20, gender='male')\n\n    # Get number of accounts with age 20 and who are a female\n    data = manager.filter(age__gt=20, gender='female').count()\n    \n    # Filter accounts with name starting with letter 's'\n    data = manager.filter(name__istartswith='s')\n    \n   # Filter accounts who have registred from 01-01-2015 till 2016\n    data = manager.filter(registered__date_range=('01-01-2015', '01-01-2016')) \n    \n   # Filter accounts who have friends who are a male\n    data = manager.filter(friends__gender='male')\n    \n   # Filter accounts with date range\n    data = manager.filter(registered__value_range=('2015-11-15', '2015-11-16')\n\n   # chain filter e.g\n    data = manager.filter(name__istartswith='s').filter(gender='male')\n\n\nExcluding\n---------\n\nYou can Exclude data by value or lookups such as gt, gte ect.\nBelow are code examples of exlcude function:\n\n.. code:: python\n\n    from iterable_orm import QuerySet\n    Accounts = [A list of account objects that have attrubtes such as name, email, age, gender ect ]\n    manager = Queryset(Accounts)\n\n    # Exclude accounts with age greater that 25\n    data = manager.exclude(age__gt=20)\n\n    # Exclude accounts with age less then 25 and who are a male\n    data = manager.exclude(age__lt=20, gender='male')\n\n    # Exclude accounts with name starting with letter 's'\n    data = manager.filter(name__istartswith='s')\n    \n   # Exclude accounts who have registred from 01-01-2015 till 2016\n    data = manager.exclude(registered__date_range=('01-01-2015', '01-01-2016'))\n    \n   # Exclude accounts who have friends who are a male\n    data = manager.filter(friends__gender='male')\n\n   # Chain exclude e.g.\n    data = manager.exclude(name__istartswith='s').exclude(gender='male')\n\n\nOrdering\n--------\n\nYou can order data by any value of object or dictionary :\n\n.. code:: python\n\n    from iterable_orm import QuerySet\n    Accounts = [A list of account objects that have attrubtes such as name, email, age, gender ect ]\n    manager = Queryset(Accounts)\n\n    # Order by name \n    data = manager.order_by('name)\n\n    # Order name by descending\n    data = manager.order_by('-name)\n    \n    # Ordering by related lookup of friends name\n    data = manager.order_by('friends__name')\n    \n    # Ordering by related lookup of friends name descending\n    data = manager.order_by('-friends__name')\n\n\nUnit Test\n---------\n\nUnit test inlcudes full example usage of the API\n\nTo tun unit test run:\n\n.. code:: python\n\n    python test.py\n\n\nInstallation\n============\n\nInstall the latest release with:\n\n::\n\n    pip install iterable_orm\n\n\nCompatibility\n-------------\n\nPython 2.7, 3.0 to 3.5",
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