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

Restructure Project and Deployment

1 files changed, 0 insertions, 514 deletions

diff --git a/venv/Lib/site-packages/wrapt/decorators.py b/venv/Lib/site-packages/wrapt/decorators.py
deleted file mode 100644
index 11e11de..0000000
--- a/venv/Lib/site-packages/wrapt/decorators.py
+++ /dev/null
@@ -1,514 +0,0 @@
-"""This module implements decorators for implementing other decorators
-as well as some commonly used decorators.
-
-"""
-
-import sys
-
-PY2 = sys.version_info[0] == 2
-PY3 = sys.version_info[0] == 3
-
-if PY3:
-    string_types = str,
-
-    import builtins
-    exec_ = getattr(builtins, "exec")
-    del builtins
-
-else:
-    string_types = basestring,
-
-    def exec_(_code_, _globs_=None, _locs_=None):
-        """Execute code in a namespace."""
-        if _globs_ is None:
-            frame = sys._getframe(1)
-            _globs_ = frame.f_globals
-            if _locs_ is None:
-                _locs_ = frame.f_locals
-            del frame
-        elif _locs_ is None:
-            _locs_ = _globs_
-        exec("""exec _code_ in _globs_, _locs_""")
-
-from functools import partial
-from inspect import ismethod, isclass, formatargspec
-from collections import namedtuple
-from threading import Lock, RLock
-
-try:
-    from inspect import signature
-except ImportError:
-    pass
-
-from .wrappers import (FunctionWrapper, BoundFunctionWrapper, ObjectProxy,
-    CallableObjectProxy)
-
-# Adapter wrapper for the wrapped function which will overlay certain
-# properties from the adapter function onto the wrapped function so that
-# functions such as inspect.getargspec(), inspect.getfullargspec(),
-# inspect.signature() and inspect.getsource() return the correct results
-# one would expect.
-
-class _AdapterFunctionCode(CallableObjectProxy):
-
-    def __init__(self, wrapped_code, adapter_code):
-        super(_AdapterFunctionCode, self).__init__(wrapped_code)
-        self._self_adapter_code = adapter_code
-
-    @property
-    def co_argcount(self):
-        return self._self_adapter_code.co_argcount
-
-    @property
-    def co_code(self):
-        return self._self_adapter_code.co_code
-
-    @property
-    def co_flags(self):
-        return self._self_adapter_code.co_flags
-
-    @property
-    def co_kwonlyargcount(self):
-        return self._self_adapter_code.co_kwonlyargcount
-
-    @property
-    def co_varnames(self):
-        return self._self_adapter_code.co_varnames
-
-class _AdapterFunctionSurrogate(CallableObjectProxy):
-
-    def __init__(self, wrapped, adapter):
-        super(_AdapterFunctionSurrogate, self).__init__(wrapped)
-        self._self_adapter = adapter
-
-    @property
-    def __code__(self):
-        return _AdapterFunctionCode(self.__wrapped__.__code__,
-                self._self_adapter.__code__)
-
-    @property
-    def __defaults__(self):
-        return self._self_adapter.__defaults__
-
-    @property
-    def __kwdefaults__(self):
-        return self._self_adapter.__kwdefaults__
-
-    @property
-    def __signature__(self):
-        if 'signature' not in globals():
-            return self._self_adapter.__signature__
-        else:
-            # Can't allow this to fail on Python 3 else it falls
-            # through to using __wrapped__, but that will be the
-            # wrong function we want to derive the signature
-            # from. Thus generate the signature ourselves.
-
-            return signature(self._self_adapter)
-
-    if PY2:
-        func_code = __code__
-        func_defaults = __defaults__
-
-class _BoundAdapterWrapper(BoundFunctionWrapper):
-
-    @property
-    def __func__(self):
-        return _AdapterFunctionSurrogate(self.__wrapped__.__func__,
-                self._self_parent._self_adapter)
-
-    if PY2:
-        im_func = __func__
-
-class AdapterWrapper(FunctionWrapper):
-
-    __bound_function_wrapper__ = _BoundAdapterWrapper
-
-    def __init__(self, *args, **kwargs):
-        adapter = kwargs.pop('adapter')
-        super(AdapterWrapper, self).__init__(*args, **kwargs)
-        self._self_surrogate = _AdapterFunctionSurrogate(
-                self.__wrapped__, adapter)
-        self._self_adapter = adapter
-
-    @property
-    def __code__(self):
-        return self._self_surrogate.__code__
-
-    @property
-    def __defaults__(self):
-        return self._self_surrogate.__defaults__
-
-    @property
-    def __kwdefaults__(self):
-        return self._self_surrogate.__kwdefaults__
-
-    if PY2:
-        func_code = __code__
-        func_defaults = __defaults__
-
-    @property
-    def __signature__(self):
-        return self._self_surrogate.__signature__
-
-class AdapterFactory(object):
-    def __call__(self, wrapped):
-        raise NotImplementedError()
-
-class DelegatedAdapterFactory(AdapterFactory):
-    def __init__(self, factory):
-        super(DelegatedAdapterFactory, self).__init__()
-        self.factory = factory
-    def __call__(self, wrapped):
-        return self.factory(wrapped)
-
-adapter_factory = DelegatedAdapterFactory
-
-# Decorator for creating other decorators. This decorator and the
-# wrappers which they use are designed to properly preserve any name
-# attributes, function signatures etc, in addition to the wrappers
-# themselves acting like a transparent proxy for the original wrapped
-# function so the wrapper is effectively indistinguishable from the
-# original wrapped function.
-
-def decorator(wrapper=None, enabled=None, adapter=None):
-    # The decorator should be supplied with a single positional argument
-    # which is the wrapper function to be used to implement the
-    # decorator. This may be preceded by a step whereby the keyword
-    # arguments are supplied to customise the behaviour of the
-    # decorator. The 'adapter' argument is used to optionally denote a
-    # separate function which is notionally used by an adapter
-    # decorator. In that case parts of the function '__code__' and
-    # '__defaults__' attributes are used from the adapter function
-    # rather than those of the wrapped function. This allows for the
-    # argument specification from inspect.getargspec() and similar
-    # functions to be overridden with a prototype for a different
-    # function than what was wrapped. The 'enabled' argument provides a
-    # way to enable/disable the use of the decorator. If the type of
-    # 'enabled' is a boolean, then it is evaluated immediately and the
-    # wrapper not even applied if it is False. If not a boolean, it will
-    # be evaluated when the wrapper is called for an unbound wrapper,
-    # and when binding occurs for a bound wrapper. When being evaluated,
-    # if 'enabled' is callable it will be called to obtain the value to
-    # be checked. If False, the wrapper will not be called and instead
-    # the original wrapped function will be called directly instead.
-
-    if wrapper is not None:
-        # Helper function for creating wrapper of the appropriate
-        # time when we need it down below.
-
-        def _build(wrapped, wrapper, enabled=None, adapter=None):
-            if adapter:
-                if isinstance(adapter, AdapterFactory):
-                    adapter = adapter(wrapped)
-
-                if not callable(adapter):
-                    ns = {}
-                    if not isinstance(adapter, string_types):
-                        adapter = formatargspec(*adapter)
-                    exec_('def adapter{}: pass'.format(adapter), ns, ns)
-                    adapter = ns['adapter']
-
-                return AdapterWrapper(wrapped=wrapped, wrapper=wrapper,
-                        enabled=enabled, adapter=adapter)
-
-            return FunctionWrapper(wrapped=wrapped, wrapper=wrapper,
-                    enabled=enabled)
-
-        # The wrapper has been provided so return the final decorator.
-        # The decorator is itself one of our function wrappers so we
-        # can determine when it is applied to functions, instance methods
-        # or class methods. This allows us to bind the instance or class
-        # method so the appropriate self or cls attribute is supplied
-        # when it is finally called.
-
-        def _wrapper(wrapped, instance, args, kwargs):
-            # We first check for the case where the decorator was applied
-            # to a class type.
-            #
-            #     @decorator
-            #     class mydecoratorclass(object):
-            #         def __init__(self, arg=None):
-            #             self.arg = arg
-            #         def __call__(self, wrapped, instance, args, kwargs):
-            #             return wrapped(*args, **kwargs)
-            #
-            #     @mydecoratorclass(arg=1)
-            #     def function():
-            #         pass
-            #
-            # In this case an instance of the class is to be used as the
-            # decorator wrapper function. If args was empty at this point,
-            # then it means that there were optional keyword arguments
-            # supplied to be used when creating an instance of the class
-            # to be used as the wrapper function.
-
-            if instance is None and isclass(wrapped) and not args:
-                # We still need to be passed the target function to be
-                # wrapped as yet, so we need to return a further function
-                # to be able to capture it.
-
-                def _capture(target_wrapped):
-                    # Now have the target function to be wrapped and need
-                    # to create an instance of the class which is to act
-                    # as the decorator wrapper function. Before we do that,
-                    # we need to first check that use of the decorator
-                    # hadn't been disabled by a simple boolean. If it was,
-                    # the target function to be wrapped is returned instead.
-
-                    _enabled = enabled
-                    if type(_enabled) is bool:
-                        if not _enabled:
-                            return target_wrapped
-                        _enabled = None
-
-                    # Now create an instance of the class which is to act
-                    # as the decorator wrapper function. Any arguments had
-                    # to be supplied as keyword only arguments so that is
-                    # all we pass when creating it.
-
-                    target_wrapper = wrapped(**kwargs)
-
-                    # Finally build the wrapper itself and return it.
-
-                    return _build(target_wrapped, target_wrapper,
-                            _enabled, adapter)
-
-                return _capture
-
-            # We should always have the target function to be wrapped at
-            # this point as the first (and only) value in args.
-
-            target_wrapped = args[0]
-
-            # Need to now check that use of the decorator hadn't been
-            # disabled by a simple boolean. If it was, then target
-            # function to be wrapped is returned instead.
-
-            _enabled = enabled
-            if type(_enabled) is bool:
-                if not _enabled:
-                    return target_wrapped
-                _enabled = None
-
-            # We now need to build the wrapper, but there are a couple of
-            # different cases we need to consider.
-
-            if instance is None:
-                if isclass(wrapped):
-                    # In this case the decorator was applied to a class
-                    # type but optional keyword arguments were not supplied
-                    # for initialising an instance of the class to be used
-                    # as the decorator wrapper function.
-                    #
-                    #     @decorator
-                    #     class mydecoratorclass(object):
-                    #         def __init__(self, arg=None):
-                    #             self.arg = arg
-                    #         def __call__(self, wrapped, instance,
-                    #                 args, kwargs):
-                    #             return wrapped(*args, **kwargs)
-                    #
-                    #     @mydecoratorclass
-                    #     def function():
-                    #         pass
-                    #
-                    # We still need to create an instance of the class to
-                    # be used as the decorator wrapper function, but no
-                    # arguments are pass.
-
-                    target_wrapper = wrapped()
-
-                else:
-                    # In this case the decorator was applied to a normal
-                    # function, or possibly a static method of a class.
-                    #
-                    #     @decorator
-                    #     def mydecoratorfuntion(wrapped, instance,
-                    #             args, kwargs):
-                    #         return wrapped(*args, **kwargs)
-                    #
-                    #     @mydecoratorfunction
-                    #     def function():
-                    #         pass
-                    #
-                    # That normal function becomes the decorator wrapper
-                    # function.
-
-                    target_wrapper = wrapper
-
-            else:
-                if isclass(instance):
-                    # In this case the decorator was applied to a class
-                    # method.
-                    #
-                    #     class myclass(object):
-                    #         @decorator
-                    #         @classmethod
-                    #         def decoratorclassmethod(cls, wrapped,
-                    #                 instance, args, kwargs):
-                    #             return wrapped(*args, **kwargs)
-                    #
-                    #     instance = myclass()
-                    #
-                    #     @instance.decoratorclassmethod
-                    #     def function():
-                    #         pass
-                    #
-                    # This one is a bit strange because binding was actually
-                    # performed on the wrapper created by our decorator
-                    # factory. We need to apply that binding to the decorator
-                    # wrapper function which which the decorator factory
-                    # was applied to.
-
-                    target_wrapper = wrapper.__get__(None, instance)
-
-                else:
-                    # In this case the decorator was applied to an instance
-                    # method.
-                    #
-                    #     class myclass(object):
-                    #         @decorator
-                    #         def decoratorclassmethod(self, wrapped,
-                    #                 instance, args, kwargs):
-                    #             return wrapped(*args, **kwargs)
-                    #
-                    #     instance = myclass()
-                    #
-                    #     @instance.decoratorclassmethod
-                    #     def function():
-                    #         pass
-                    #
-                    # This one is a bit strange because binding was actually
-                    # performed on the wrapper created by our decorator
-                    # factory. We need to apply that binding to the decorator
-                    # wrapper function which which the decorator factory
-                    # was applied to.
-
-                    target_wrapper = wrapper.__get__(instance, type(instance))
-
-            # Finally build the wrapper itself and return it.
-
-            return _build(target_wrapped, target_wrapper, _enabled, adapter)
-
-        # We first return our magic function wrapper here so we can
-        # determine in what context the decorator factory was used. In
-        # other words, it is itself a universal decorator. The decorator
-        # function is used as the adapter so that linters see a signature
-        # corresponding to the decorator and not the wrapper it is being
-        # applied to.
-
-        return _build(wrapper, _wrapper, adapter=decorator)
-
-    else:
-        # The wrapper still has not been provided, so we are just
-        # collecting the optional keyword arguments. Return the
-        # decorator again wrapped in a partial using the collected
-        # arguments.
-
-        return partial(decorator, enabled=enabled, adapter=adapter)
-
-# Decorator for implementing thread synchronization. It can be used as a
-# decorator, in which case the synchronization context is determined by
-# what type of function is wrapped, or it can also be used as a context
-# manager, where the user needs to supply the correct synchronization
-# context. It is also possible to supply an object which appears to be a
-# synchronization primitive of some sort, by virtue of having release()
-# and acquire() methods. In that case that will be used directly as the
-# synchronization primitive without creating a separate lock against the
-# derived or supplied context.
-
-def synchronized(wrapped):
-    # Determine if being passed an object which is a synchronization
-    # primitive. We can't check by type for Lock, RLock, Semaphore etc,
-    # as the means of creating them isn't the type. Therefore use the
-    # existence of acquire() and release() methods. This is more
-    # extensible anyway as it allows custom synchronization mechanisms.
-
-    if hasattr(wrapped, 'acquire') and hasattr(wrapped, 'release'):
-        # We remember what the original lock is and then return a new
-        # decorator which accesses and locks it. When returning the new
-        # decorator we wrap it with an object proxy so we can override
-        # the context manager methods in case it is being used to wrap
-        # synchronized statements with a 'with' statement.
-
-        lock = wrapped
-
-        @decorator
-        def _synchronized(wrapped, instance, args, kwargs):
-            # Execute the wrapped function while the original supplied
-            # lock is held.
-
-            with lock:
-                return wrapped(*args, **kwargs)
-
-        class _PartialDecorator(CallableObjectProxy):
-
-            def __enter__(self):
-                lock.acquire()
-                return lock
-
-            def __exit__(self, *args):
-                lock.release()
-
-        return _PartialDecorator(wrapped=_synchronized)
-
-    # Following only apply when the lock is being created automatically
-    # based on the context of what was supplied. In this case we supply
-    # a final decorator, but need to use FunctionWrapper directly as we
-    # want to derive from it to add context manager methods in case it is
-    # being used to wrap synchronized statements with a 'with' statement.
-
-    def _synchronized_lock(context):
-        # Attempt to retrieve the lock for the specific context.
-
-        lock = vars(context).get('_synchronized_lock', None)
-
-        if lock is None:
-            # There is no existing lock defined for the context we
-            # are dealing with so we need to create one. This needs
-            # to be done in a way to guarantee there is only one
-            # created, even if multiple threads try and create it at
-            # the same time. We can't always use the setdefault()
-            # method on the __dict__ for the context. This is the
-            # case where the context is a class, as __dict__ is
-            # actually a dictproxy. What we therefore do is use a
-            # meta lock on this wrapper itself, to control the
-            # creation and assignment of the lock attribute against
-            # the context.
-
-            with synchronized._synchronized_meta_lock:
-                # We need to check again for whether the lock we want
-                # exists in case two threads were trying to create it
-                # at the same time and were competing to create the
-                # meta lock.
-
-                lock = vars(context).get('_synchronized_lock', None)
-
-                if lock is None:
-                    lock = RLock()
-                    setattr(context, '_synchronized_lock', lock)
-
-        return lock
-
-    def _synchronized_wrapper(wrapped, instance, args, kwargs):
-        # Execute the wrapped function while the lock for the
-        # desired context is held. If instance is None then the
-        # wrapped function is used as the context.
-
-        with _synchronized_lock(instance or wrapped):
-            return wrapped(*args, **kwargs)
-
-    class _FinalDecorator(FunctionWrapper):
-
-        def __enter__(self):
-            self._self_lock = _synchronized_lock(self.__wrapped__)
-            self._self_lock.acquire()
-            return self._self_lock
-
-        def __exit__(self, *args):
-            self._self_lock.release()
-
-    return _FinalDecorator(wrapped=wrapped, wrapper=_synchronized_wrapper)
-
-synchronized._synchronized_meta_lock = Lock()