Merge pull request #63 from brenda-br/Fix-35HEADmaster

Restructure Project and Deployment

1 files changed, 0 insertions, 166 deletions

diff --git a/venv/Lib/site-packages/wrapt-1.11.2-py3.7.egg-info/PKG-INFO b/venv/Lib/site-packages/wrapt-1.11.2-py3.7.egg-info/PKG-INFO
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--- a/venv/Lib/site-packages/wrapt-1.11.2-py3.7.egg-info/PKG-INFO
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-Metadata-Version: 1.1
-Name: wrapt
-Version: 1.11.2
-Summary: Module for decorators, wrappers and monkey patching.
-Home-page: https://github.com/GrahamDumpleton/wrapt
-Author: Graham Dumpleton
-Author-email: Graham.Dumpleton@gmail.com
-License: BSD
-Description: wrapt
-        =====
-        
-        |Travis| |AppVeyor| |Coveralls| |PyPI|
-        
-        The aim of the **wrapt** module is to provide a transparent object proxy
-        for Python, which can be used as the basis for the construction of function
-        wrappers and decorator functions.
-        
-        The **wrapt** module focuses very much on correctness. It therefore goes
-        way beyond existing mechanisms such as ``functools.wraps()`` to ensure that
-        decorators preserve introspectability, signatures, type checking abilities
-        etc. The decorators that can be constructed using this module will work in
-        far more scenarios than typical decorators and provide more predictable and
-        consistent behaviour.
-        
-        To ensure that the overhead is as minimal as possible, a C extension module
-        is used for performance critical components. An automatic fallback to a
-        pure Python implementation is also provided where a target system does not
-        have a compiler to allow the C extension to be compiled.
-        
-        Documentation
-        -------------
-        
-        For further information on the **wrapt** module see:
-        
-        * http://wrapt.readthedocs.org/
-        
-        Quick Start
-        -----------
-        
-        To implement your decorator you need to first define a wrapper function.
-        This will be called each time a decorated function is called. The wrapper
-        function needs to take four positional arguments:
-        
-        * ``wrapped`` - The wrapped function which in turns needs to be called by your wrapper function.
-        * ``instance`` - The object to which the wrapped function was bound when it was called.
-        * ``args`` - The list of positional arguments supplied when the decorated function was called.
-        * ``kwargs`` - The dictionary of keyword arguments supplied when the decorated function was called.
-        
-        The wrapper function would do whatever it needs to, but would usually in
-        turn call the wrapped function that is passed in via the ``wrapped``
-        argument.
-        
-        The decorator ``@wrapt.decorator`` then needs to be applied to the wrapper
-        function to convert it into a decorator which can in turn be applied to
-        other functions.
-        
-        ::
-        
-            import wrapt
-            
-            @wrapt.decorator
-            def pass_through(wrapped, instance, args, kwargs):
-                return wrapped(*args, **kwargs)
-        
-            @pass_through
-            def function():
-                pass
-        
-        If you wish to implement a decorator which accepts arguments, then wrap the
-        definition of the decorator in a function closure. Any arguments supplied
-        to the outer function when the decorator is applied, will be available to
-        the inner wrapper when the wrapped function is called.
-        
-        ::
-        
-            import wrapt
-        
-            def with_arguments(myarg1, myarg2):
-                @wrapt.decorator
-                def wrapper(wrapped, instance, args, kwargs):
-                    return wrapped(*args, **kwargs)
-                return wrapper
-        
-            @with_arguments(1, 2)
-            def function():
-                pass
-        
-        When applied to a normal function or static method, the wrapper function
-        when called will be passed ``None`` as the ``instance`` argument.
-        
-        When applied to an instance method, the wrapper function when called will
-        be passed the instance of the class the method is being called on as the
-        ``instance`` argument. This will be the case even when the instance method
-        was called explicitly via the class and the instance passed as the first
-        argument. That is, the instance will never be passed as part of ``args``.
-        
-        When applied to a class method, the wrapper function when called will be
-        passed the class type as the ``instance`` argument.
-        
-        When applied to a class, the wrapper function when called will be passed
-        ``None`` as the ``instance`` argument. The ``wrapped`` argument in this
-        case will be the class.
-        
-        The above rules can be summarised with the following example.
-        
-        ::
-        
-            import inspect
-            
-            @wrapt.decorator
-            def universal(wrapped, instance, args, kwargs):
-                if instance is None:
-                    if inspect.isclass(wrapped):
-                        # Decorator was applied to a class.
-                        return wrapped(*args, **kwargs)
-                    else:
-                        # Decorator was applied to a function or staticmethod.
-                        return wrapped(*args, **kwargs)
-                else:
-                    if inspect.isclass(instance):
-                        # Decorator was applied to a classmethod.
-                        return wrapped(*args, **kwargs)
-                    else:
-                        # Decorator was applied to an instancemethod.
-                        return wrapped(*args, **kwargs)
-        
-        Using these checks it is therefore possible to create a universal decorator
-        that can be applied in all situations. It is no longer necessary to create
-        different variants of decorators for normal functions and instance methods,
-        or use additional wrappers to convert a function decorator into one that
-        will work for instance methods.
-        
-        In all cases, the wrapped function passed to the wrapper function is called
-        in the same way, with ``args`` and ``kwargs`` being passed. The
-        ``instance`` argument doesn't need to be used in calling the wrapped
-        function.
-        
-        Repository
-        ----------
-        
-        Full source code for the **wrapt** module, including documentation files
-        and unit tests, can be obtained from github.
-        
-        * https://github.com/GrahamDumpleton/wrapt
-        
-        .. |Travis| image:: https://travis-ci.org/GrahamDumpleton/wrapt.svg?branch=develop
-           :target: https://travis-ci.org/GrahamDumpleton/wrapt
-        .. |Appveyor| image:: https://ci.appveyor.com/api/projects/status/32r7s2skrgm9ubva?svg=true
-           :target: https://ci.appveyor.com/project/GrahamDumpleton/wrapt/branch/develop
-        .. |Coveralls| image:: https://img.shields.io/coveralls/GrahamDumpleton/wrapt/develop.svg
-           :target: https://coveralls.io/github/GrahamDumpleton/wrapt?branch=develop
-        .. |PyPI| image:: https://img.shields.io/pypi/v/wrapt.svg
-           :target: https://pypi.python.org/pypi/wrapt
-        
-Platform: UNKNOWN
-Classifier: Development Status :: 5 - Production/Stable
-Classifier: License :: OSI Approved :: BSD License
-Classifier: Programming Language :: Python :: 2
-Classifier: Programming Language :: Python :: 2.7
-Classifier: Programming Language :: Python :: 3
-Classifier: Programming Language :: Python :: 3.4
-Classifier: Programming Language :: Python :: 3.5
-Classifier: Programming Language :: Python :: 3.6
-Classifier: Programming Language :: Python :: 3.7
-Classifier: Programming Language :: Python :: Implementation :: CPython
-Classifier: Programming Language :: Python :: Implementation :: PyPy