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        "description": "|travis-master| |coverall-master|\n\n.. |travis-master| image:: https://travis-ci.org/alfred82santa/dirty-validators.svg?branch=master\n   :target: https://travis-ci.org/alfred82santa/dirty-validators\n\n.. |coverall-master| image:: https://coveralls.io/repos/alfred82santa/dirty-validators/badge.png?branch=master\n   :target: https://coveralls.io/r/alfred82santa/dirty-validators?branch=master\n\n================\ndirty-validators\n================\n\n\nAgnostic validators for python 3\n\n**Freely based** on [WTF-Forms](https://github.com/wtforms/wtforms) validators.\n\n********\nFeatures\n********\n- Python 3 package.\n- Easy to create a validator.\n- Chained validations.\n- Conditional validations.\n- Specific error control messages.\n- Dirty model integration (https://github.com/alfred82santa/dirty-models)\n- No database dependent.\n- Asynchronous validators.\n\n*********\nChangelog\n*********\n\n\n-------------\nVersion 0.5.2\n-------------\n\n- Remove hard dependency from Dirty Models.\n- Fix bug iterating ListModels.\n\n-------------\nVersion 0.5.1\n-------------\n\n- Added value validators for mappings.\n\n-------------\nVersion 0.5.0\n-------------\n\n- Added asynchronous validators.\n\n-------------\nVersion 0.4.0\n-------------\n\n- Added ``<root>``  keyword in order to look up a field from root model of context.\n- Added ``key_validator`` argument for spec validators in order to validate keys on hashmaps.\n\n************\nInstallation\n************\n.. code-block:: bash\n\n    $ pip install dirty-validators\n\n***********\nBasic usage\n***********\n\n.. code-block:: python\n\n    from dirty_validators.basic import EqualTo, Length, Regexp, Email\n    from dirty_validators.complex import Optional, ModelValidate\n\n    validator = Optional(validators=[EqualTo(comp_value=\"test\")])\n\n    assert validator.is_valid(\"test\") is True\n\n    # Chained validation\n    validator_chain = Chain(validators=[Length(min=14, max=16), Regexp(regex='^abc'), Email()])\n\n    assert validator_chain.is_valid('abcdefg@test.com')\n\n    # Model validation\n\n    class MyModelValidator(ModelValidate):\n        fieldName1 = Optional(validators=[Length(min=4, max=6)])\n        fieldName2 = Optional(validators=[Length(min=1, max=2)])\n        fieldName3 = Required(validators=[Length(min=7, max=8)])\n\n    validator_model = MyModelValidator()\n\n    data = {\n        \"fieldName1\": \"1234\",\n        \"fieldName1\": \"12\",\n        \"fieldName3\": \"123456qw\"\n     }\n\n    assert validator_model.is_valid(FakeModel(data)) is True\n\n.. note::\n\n    Look at tests for more examples\n\n\n",
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