Metadata-Version: 1.1
Name: pyadbc
Version: 0.1.0
Summary: PyADBC: Design by Contract in Python
Home-page: https://github.com/tarmstrong/pyadbc
Author: Tavish Armstrong
Author-email: tavisharmstrong@gmail.com
License: BSD
Description: ===============================
        pyadbc
        ===============================
        
        .. image:: https://badge.fury.io/py/pyadbc.png
            :target: http://badge.fury.io/py/pyadbc
            
        .. image:: https://travis-ci.org/tarmstrong/pyadbc.png?branch=master
                :target: https://travis-ci.org/tarmstrong/pyadbc
        
        .. image:: https://pypip.in/d/pyadbc/badge.png
                :target: https://crate.io/packages/pyadbc?version=latest
        
        
        PyADBC: Design by Contract in Python
        
        
        PyADBC provides pure python support for `Design by
        Contract <https://en.wikipedia.org/wiki/Design_by_contract>`__.
        Invariants, pre- and post-conditions are added using decorators.
        
        * Free software: BSD license
        
        Usage
        -----
        
        Invariants
        ~~~~~~~~~~
        
        To define an invariant on a class (a condition that always holds after
        the object is instantiated), use the ``@invariant`` decorator. The
        ``self`` passed into the passed lambda is the same ``self`` that would
        be passed to a method.
        
        ::
        
            @invariant(lambda self: self.capacity >= 0)
            class List(object):
                # ...
        
        Preconditions
        ~~~~~~~~~~~~~
        
        Preconditions can be specified with ``@requires``. These are properties
        that must evaluate to ``True`` *before* the method is run.
        
        ::
        
            @requires(lambda self: self.size() < self.capacity)
            def append(self, bla):
                self._size += 1
                self.things.append(bla)
        
        Postconditions
        ~~~~~~~~~~~~~~
        
        Postconditions can be specified with ``@ensures``:
        
        ::
        
            @ensures(lambda self: self.size() == len(self.things))
            def append(self, bla):
                self._size += 1
                self.things.append(bla)
        
        These are properties that must evaluate to ``True`` *after* the method
        has run.
        
        ``@old`` for before/after comparisons
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        In order to compare properties of the object before and after an
        operation, PyADBC provides the ``@old`` decorator. You can use it to
        "cache" values for use in the postcondition.
        
        For example, the following method's postcondition guarantees that the
        ``x`` instance attribute is increased by one. Dictionaries returned in
        the functions passed to ``@old`` will be merged and passed as a second
        argument to the postcondition functions.
        
        ::
        
            @ensures(lambda self, old: old['x'] + 1 == self.x,
                    lambda self, old: old['size'] < 0)
            @old(lambda self: {'x': self.x, 'size': self._size})
            def doThing(self):
                self.x -= 1
        
        Exceptions
        ~~~~~~~~~~
        
        If any conditions defined by the above decorators evaluate to ``False``,
        one of the following exceptions will be raised based on what kind of
        condition it is:
        
        -  ``PreconditionFailedException``, which implies that the client of the
           class failed to satisfy the class's contract.
        -  ``PostconditionFailedException``, which implies that the object
           itself failed to satisfy its class's contract.
        -  ``InvariantFailedException``, which implies that the object has
           entered an illegal state.
        
        ``@dbcinherit`` for inheriting classes
        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        
        An important feature of DBC is that it can validate the `Liskov
        Substitution
        Principle <https://en.wikipedia.org/wiki/Liskov_substitution_principle>`__.
        That is, if a child class ``CoolList`` inherits from the base class
        ``List``, its operations should satsify ``List``'s contracts. This gives
        some assurance that the principle holds for the child class.
        
        To do this with PyADBC, you need to explicitly decorate the child class,
        e.g.:
        
        ::
        
            @dbcinherit
            class CoolList(List):
               # ...
        
        If ``CoolList`` overrides the ``append()`` method, the contract of
        ``List``'s ``append()`` method will be applied to ``CoolList``'s
        ``append()``.
        
        This also currently works with multiple inheritance.
        
        Other solutions
        ---------------
        
        -  `PyDBC <http://www.nongnu.org/pydbc/>`__, which uses a metaclass.
        -  `pycontract <http://www.wayforward.net/pycontract/>`__, which uses
           docstrings. See the Python Enhancement Proposal (PEP) that references
           this implementation
           `here <http://www.python.org/dev/peps/pep-0316/>`__.
        
        Contributing
        ------------
        
        See ``TODO.md`` for missing features. Suggestions and bug reports are
        always welcome.
        
        Acknowledgements
        ----------------
        
        Thanks to
        
        -  Prof. Constantinos Constantinides, for his feedback regarding Liskov
           and for teaching me about DBC in the first place
        
        
        
        
        
        History
        -------
        
        0.1.0 (2013-08-11)
        ++++++++++++++++++
        
        * First release on PyPI.
Keywords: pyadbc
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
