The Tor Browser: python/mock-1.0.0/mock.py@6474c204b198 (annotated)

python/mock-1.0.0/mock.py@6474c204b198 (annotated)

python/mock-1.0.0/mock.py

Wed, 31 Dec 2014 06:09:35 +0100

author: Michael Schloh von Bennewitz <michael@schloh.com>
date: Wed, 31 Dec 2014 06:09:35 +0100
changeset 0: 6474c204b198
permissions: -rw-r--r--

Cloned upstream origin tor-browser at tor-browser-31.3.0esr-4.5-1-build1
revision ID fc1c9ff7c1b2defdbc039f12214767608f46423f for hacking purpose.

 # mock.py
 # Test tools for mocking and patching.
 # Copyright (C) 2007-2012 Michael Foord & the mock team
 # E-mail: fuzzyman AT voidspace DOT org DOT uk
 # mock 1.0
 # http://www.voidspace.org.uk/python/mock/
 # Released subject to the BSD License
 # Please see http://www.voidspace.org.uk/python/license.shtml
 # Scripts maintained at http://www.voidspace.org.uk/python/index.shtml
 # Comments, suggestions and bug reports welcome.
 __all__ = (
     'Mock',
     'MagicMock',
     'patch',
     'sentinel',
     'DEFAULT',
     'ANY',
     'call',
     'create_autospec',
     'FILTER_DIR',
     'NonCallableMock',
     'NonCallableMagicMock',
     'mock_open',
     'PropertyMock',
 )
 __version__ = '1.0.0'
 import pprint
 import sys
 try:
     import inspect
 except ImportError:
     # for alternative platforms that
     # may not have inspect
     inspect = None
 try:
     from functools import wraps
 except ImportError:
     # Python 2.4 compatibility
     def wraps(original):
         def inner(f):
             f.__name__ = original.__name__
             f.__doc__ = original.__doc__
             f.__module__ = original.__module__
             return f
         return inner
 try:
     unicode
 except NameError:
     # Python 3
     basestring = unicode = str
 try:
     long
 except NameError:
     # Python 3
     long = int
 try:
     BaseException
 except NameError:
     # Python 2.4 compatibility
     BaseException = Exception
 try:
     next
 except NameError:
     def next(obj):
         return obj.next()
 BaseExceptions = (BaseException,)
 if 'java' in sys.platform:
     # jython
     import java
     BaseExceptions = (BaseException, java.lang.Throwable)
 try:
     _isidentifier = str.isidentifier
 except AttributeError:
     # Python 2.X
     import keyword
     import re
     regex = re.compile(r'^[a-z_][a-z0-9_]*$', re.I)
     def _isidentifier(string):
         if string in keyword.kwlist:
             return False
         return regex.match(string)
 inPy3k = sys.version_info[0] == 3
 # Needed to work around Python 3 bug where use of "super" interferes with
 # defining __class__ as a descriptor
 _super = super
 self = 'im_self'
 builtin = '__builtin__'
 if inPy3k:
     self = '__self__'
     builtin = 'builtins'
 FILTER_DIR = True
 def _is_instance_mock(obj):
     # can't use isinstance on Mock objects because they override __class__
     # The base class for all mocks is NonCallableMock
     return issubclass(type(obj), NonCallableMock)
 def _is_exception(obj):
     return (
         isinstance(obj, BaseExceptions) or
         isinstance(obj, ClassTypes) and issubclass(obj, BaseExceptions)
     )
 class _slotted(object):
     __slots__ = ['a']
 DescriptorTypes = (
     type(_slotted.a),
     property,
 )
 def _getsignature(func, skipfirst, instance=False):
     if inspect is None:
         raise ImportError('inspect module not available')
     if isinstance(func, ClassTypes) and not instance:
         try:
             func = func.__init__
         except AttributeError:
             return
         skipfirst = True
     elif not isinstance(func, FunctionTypes):
         # for classes where instance is True we end up here too
         try:
             func = func.__call__
         except AttributeError:
             return
     if inPy3k:
         try:
             argspec = inspect.getfullargspec(func)
         except TypeError:
             # C function / method, possibly inherited object().__init__
             return
         regargs, varargs, varkw, defaults, kwonly, kwonlydef, ann = argspec
     else:
         try:
             regargs, varargs, varkwargs, defaults = inspect.getargspec(func)
         except TypeError:
             # C function / method, possibly inherited object().__init__
             return
     # instance methods and classmethods need to lose the self argument
     if getattr(func, self, None) is not None:
         regargs = regargs[1:]
     if skipfirst:
         # this condition and the above one are never both True - why?
         regargs = regargs[1:]
     if inPy3k:
         signature = inspect.formatargspec(
             regargs, varargs, varkw, defaults,
             kwonly, kwonlydef, ann, formatvalue=lambda value: "")
     else:
         signature = inspect.formatargspec(
             regargs, varargs, varkwargs, defaults,
             formatvalue=lambda value: "")
     return signature[1:-1], func
 def _check_signature(func, mock, skipfirst, instance=False):
     if not _callable(func):
         return
     result = _getsignature(func, skipfirst, instance)
     if result is None:
         return
     signature, func = result
     # can't use self because "self" is common as an argument name
     # unfortunately even not in the first place
     src = "lambda _mock_self, %s: None" % signature
     checksig = eval(src, {})
     _copy_func_details(func, checksig)
     type(mock)._mock_check_sig = checksig
 def _copy_func_details(func, funcopy):
     funcopy.__name__ = func.__name__
     funcopy.__doc__ = func.__doc__
     #funcopy.__dict__.update(func.__dict__)
     funcopy.__module__ = func.__module__
     if not inPy3k:
         funcopy.func_defaults = func.func_defaults
         return
     funcopy.__defaults__ = func.__defaults__
     funcopy.__kwdefaults__ = func.__kwdefaults__
 def _callable(obj):
     if isinstance(obj, ClassTypes):
         return True
     if getattr(obj, '__call__', None) is not None:
         return True
     return False
 def _is_list(obj):
     # checks for list or tuples
     # XXXX badly named!
     return type(obj) in (list, tuple)
 def _instance_callable(obj):
     """Given an object, return True if the object is callable.
     For classes, return True if instances would be callable."""
     if not isinstance(obj, ClassTypes):
         # already an instance
         return getattr(obj, '__call__', None) is not None
     klass = obj
     # uses __bases__ instead of __mro__ so that we work with old style classes
     if klass.__dict__.get('__call__') is not None:
         return True
     for base in klass.__bases__:
         if _instance_callable(base):
             return True
     return False
 def _set_signature(mock, original, instance=False):
     # creates a function with signature (*args, **kwargs) that delegates to a
     # mock. It still does signature checking by calling a lambda with the same
     # signature as the original.
     if not _callable(original):
         return
     skipfirst = isinstance(original, ClassTypes)
     result = _getsignature(original, skipfirst, instance)
     if result is None:
         # was a C function (e.g. object().__init__ ) that can't be mocked
         return
     signature, func = result
     src = "lambda %s: None" % signature
     checksig = eval(src, {})
     _copy_func_details(func, checksig)
     name = original.__name__
     if not _isidentifier(name):
         name = 'funcopy'
     context = {'_checksig_': checksig, 'mock': mock}
     src = """def %s(*args, **kwargs):
     _checksig_(*args, **kwargs)
     return mock(*args, **kwargs)""" % name
     exec (src, context)
     funcopy = context[name]
     _setup_func(funcopy, mock)
     return funcopy
 def _setup_func(funcopy, mock):
     funcopy.mock = mock
     # can't use isinstance with mocks
     if not _is_instance_mock(mock):
         return
     def assert_called_with(*args, **kwargs):
         return mock.assert_called_with(*args, **kwargs)
     def assert_called_once_with(*args, **kwargs):
         return mock.assert_called_once_with(*args, **kwargs)
     def assert_has_calls(*args, **kwargs):
         return mock.assert_has_calls(*args, **kwargs)
     def assert_any_call(*args, **kwargs):
         return mock.assert_any_call(*args, **kwargs)
     def reset_mock():
         funcopy.method_calls = _CallList()
         funcopy.mock_calls = _CallList()
         mock.reset_mock()
         ret = funcopy.return_value
         if _is_instance_mock(ret) and not ret is mock:
             ret.reset_mock()
     funcopy.called = False
     funcopy.call_count = 0
     funcopy.call_args = None
     funcopy.call_args_list = _CallList()
     funcopy.method_calls = _CallList()
     funcopy.mock_calls = _CallList()
     funcopy.return_value = mock.return_value
     funcopy.side_effect = mock.side_effect
     funcopy._mock_children = mock._mock_children
     funcopy.assert_called_with = assert_called_with
     funcopy.assert_called_once_with = assert_called_once_with
     funcopy.assert_has_calls = assert_has_calls
     funcopy.assert_any_call = assert_any_call
     funcopy.reset_mock = reset_mock
     mock._mock_delegate = funcopy
 def _is_magic(name):
     return '__%s__' % name[2:-2] == name
 class _SentinelObject(object):
     "A unique, named, sentinel object."
     def __init__(self, name):
         self.name = name
     def __repr__(self):
         return 'sentinel.%s' % self.name
 class _Sentinel(object):
     """Access attributes to return a named object, usable as a sentinel."""
     def __init__(self):
         self._sentinels = {}
     def __getattr__(self, name):
         if name == '__bases__':
             # Without this help(mock) raises an exception
             raise AttributeError
         return self._sentinels.setdefault(name, _SentinelObject(name))
 sentinel = _Sentinel()
 DEFAULT = sentinel.DEFAULT
 _missing = sentinel.MISSING
 _deleted = sentinel.DELETED
 class OldStyleClass:
     pass
 ClassType = type(OldStyleClass)
 def _copy(value):
     if type(value) in (dict, list, tuple, set):
         return type(value)(value)
     return value
 ClassTypes = (type,)
 if not inPy3k:
     ClassTypes = (type, ClassType)
 _allowed_names = set(
     [
         'return_value', '_mock_return_value', 'side_effect',
         '_mock_side_effect', '_mock_parent', '_mock_new_parent',
         '_mock_name', '_mock_new_name'
     ]
 )
 def _delegating_property(name):
     _allowed_names.add(name)
     _the_name = '_mock_' + name
     def _get(self, name=name, _the_name=_the_name):
         sig = self._mock_delegate
         if sig is None:
             return getattr(self, _the_name)
         return getattr(sig, name)
     def _set(self, value, name=name, _the_name=_the_name):
         sig = self._mock_delegate
         if sig is None:
             self.__dict__[_the_name] = value
         else:
             setattr(sig, name, value)
     return property(_get, _set)
 class _CallList(list):
     def __contains__(self, value):
         if not isinstance(value, list):
             return list.__contains__(self, value)
         len_value = len(value)
         len_self = len(self)
         if len_value > len_self:
             return False
         for i in range(0, len_self - len_value + 1):
             sub_list = self[i:i+len_value]
             if sub_list == value:
                 return True
         return False
     def __repr__(self):
         return pprint.pformat(list(self))
 def _check_and_set_parent(parent, value, name, new_name):
     if not _is_instance_mock(value):
         return False
     if ((value._mock_name or value._mock_new_name) or
         (value._mock_parent is not None) or
         (value._mock_new_parent is not None)):
         return False
     _parent = parent
     while _parent is not None:
         # setting a mock (value) as a child or return value of itself
         # should not modify the mock
         if _parent is value:
             return False
         _parent = _parent._mock_new_parent
     if new_name:
         value._mock_new_parent = parent
         value._mock_new_name = new_name
     if name:
         value._mock_parent = parent
         value._mock_name = name
     return True
 class Base(object):
     _mock_return_value = DEFAULT
     _mock_side_effect = None
     def __init__(self, *args, **kwargs):
         pass
 class NonCallableMock(Base):
     """A non-callable version of `Mock`"""
     def __new__(cls, *args, **kw):
         # every instance has its own class
         # so we can create magic methods on the
         # class without stomping on other mocks
         new = type(cls.__name__, (cls,), {'__doc__': cls.__doc__})
         instance = object.__new__(new)
         return instance
     def __init__(
             self, spec=None, wraps=None, name=None, spec_set=None,
             parent=None, _spec_state=None, _new_name='', _new_parent=None,
             **kwargs
         ):
         if _new_parent is None:
             _new_parent = parent
         __dict__ = self.__dict__
         __dict__['_mock_parent'] = parent
         __dict__['_mock_name'] = name
         __dict__['_mock_new_name'] = _new_name
         __dict__['_mock_new_parent'] = _new_parent
         if spec_set is not None:
             spec = spec_set
             spec_set = True
         self._mock_add_spec(spec, spec_set)
         __dict__['_mock_children'] = {}
         __dict__['_mock_wraps'] = wraps
         __dict__['_mock_delegate'] = None
         __dict__['_mock_called'] = False
         __dict__['_mock_call_args'] = None
         __dict__['_mock_call_count'] = 0
         __dict__['_mock_call_args_list'] = _CallList()
         __dict__['_mock_mock_calls'] = _CallList()
         __dict__['method_calls'] = _CallList()
         if kwargs:
             self.configure_mock(**kwargs)
         _super(NonCallableMock, self).__init__(
             spec, wraps, name, spec_set, parent,
             _spec_state
         )
     def attach_mock(self, mock, attribute):
         """
         Attach a mock as an attribute of this one, replacing its name and
         parent. Calls to the attached mock will be recorded in the
         `method_calls` and `mock_calls` attributes of this one."""
         mock._mock_parent = None
         mock._mock_new_parent = None
         mock._mock_name = ''
         mock._mock_new_name = None
         setattr(self, attribute, mock)
     def mock_add_spec(self, spec, spec_set=False):
         """Add a spec to a mock. `spec` can either be an object or a
         list of strings. Only attributes on the `spec` can be fetched as
         attributes from the mock.
         If `spec_set` is True then only attributes on the spec can be set."""
         self._mock_add_spec(spec, spec_set)
     def _mock_add_spec(self, spec, spec_set):
         _spec_class = None
         if spec is not None and not _is_list(spec):
             if isinstance(spec, ClassTypes):
                 _spec_class = spec
             else:
                 _spec_class = _get_class(spec)
             spec = dir(spec)
         __dict__ = self.__dict__
         __dict__['_spec_class'] = _spec_class
         __dict__['_spec_set'] = spec_set
         __dict__['_mock_methods'] = spec
     def __get_return_value(self):
         ret = self._mock_return_value
         if self._mock_delegate is not None:
             ret = self._mock_delegate.return_value
         if ret is DEFAULT:
             ret = self._get_child_mock(
                 _new_parent=self, _new_name='()'
             )
             self.return_value = ret
         return ret
     def __set_return_value(self, value):
         if self._mock_delegate is not None:
             self._mock_delegate.return_value = value
         else:
             self._mock_return_value = value
             _check_and_set_parent(self, value, None, '()')
     __return_value_doc = "The value to be returned when the mock is called."
     return_value = property(__get_return_value, __set_return_value,
                             __return_value_doc)
     @property
     def __class__(self):
         if self._spec_class is None:
             return type(self)
         return self._spec_class
     called = _delegating_property('called')
     call_count = _delegating_property('call_count')
     call_args = _delegating_property('call_args')
     call_args_list = _delegating_property('call_args_list')
     mock_calls = _delegating_property('mock_calls')
     def __get_side_effect(self):
         sig = self._mock_delegate
         if sig is None:
             return self._mock_side_effect
         return sig.side_effect
     def __set_side_effect(self, value):
         value = _try_iter(value)
         sig = self._mock_delegate
         if sig is None:
             self._mock_side_effect = value
         else:
             sig.side_effect = value
     side_effect = property(__get_side_effect, __set_side_effect)
     def reset_mock(self):
         "Restore the mock object to its initial state."
         self.called = False
         self.call_args = None
         self.call_count = 0
         self.mock_calls = _CallList()
         self.call_args_list = _CallList()
         self.method_calls = _CallList()
         for child in self._mock_children.values():
             if isinstance(child, _SpecState):
                 continue
             child.reset_mock()
         ret = self._mock_return_value
         if _is_instance_mock(ret) and ret is not self:
             ret.reset_mock()
     def configure_mock(self, **kwargs):
         """Set attributes on the mock through keyword arguments.
         Attributes plus return values and side effects can be set on child
         mocks using standard dot notation and unpacking a dictionary in the
         method call:
         >>> attrs = {'method.return_value': 3, 'other.side_effect': KeyError}
         >>> mock.configure_mock(**attrs)"""
         for arg, val in sorted(kwargs.items(),
                                # we sort on the number of dots so that
                                # attributes are set before we set attributes on
                                # attributes
                                key=lambda entry: entry[0].count('.')):
             args = arg.split('.')
             final = args.pop()
             obj = self
             for entry in args:
                 obj = getattr(obj, entry)
             setattr(obj, final, val)
     def __getattr__(self, name):
         if name == '_mock_methods':
             raise AttributeError(name)
         elif self._mock_methods is not None:
             if name not in self._mock_methods or name in _all_magics:
                 raise AttributeError("Mock object has no attribute %r" % name)
         elif _is_magic(name):
             raise AttributeError(name)
         result = self._mock_children.get(name)
         if result is _deleted:
             raise AttributeError(name)
         elif result is None:
             wraps = None
             if self._mock_wraps is not None:
                 # XXXX should we get the attribute without triggering code
                 # execution?
                 wraps = getattr(self._mock_wraps, name)
             result = self._get_child_mock(
                 parent=self, name=name, wraps=wraps, _new_name=name,
                 _new_parent=self
             )
             self._mock_children[name]  = result
         elif isinstance(result, _SpecState):
             result = create_autospec(
                 result.spec, result.spec_set, result.instance,
                 result.parent, result.name
             )
             self._mock_children[name]  = result
         return result
     def __repr__(self):
         _name_list = [self._mock_new_name]
         _parent = self._mock_new_parent
         last = self
         dot = '.'
         if _name_list == ['()']:
             dot = ''
         seen = set()
         while _parent is not None:
             last = _parent
             _name_list.append(_parent._mock_new_name + dot)
             dot = '.'
             if _parent._mock_new_name == '()':
                 dot = ''
             _parent = _parent._mock_new_parent
             # use ids here so as not to call __hash__ on the mocks
             if id(_parent) in seen:
                 break
             seen.add(id(_parent))
         _name_list = list(reversed(_name_list))
         _first = last._mock_name or 'mock'
         if len(_name_list) > 1:
             if _name_list[1] not in ('()', '().'):
                 _first += '.'
         _name_list[0] = _first
         name = ''.join(_name_list)
         name_string = ''
         if name not in ('mock', 'mock.'):
             name_string = ' name=%r' % name
         spec_string = ''
         if self._spec_class is not None:
             spec_string = ' spec=%r'
             if self._spec_set:
                 spec_string = ' spec_set=%r'
             spec_string = spec_string % self._spec_class.__name__
         return "<%s%s%s id='%s'>" % (
             type(self).__name__,
             name_string,
             spec_string,
             id(self)
         )
     def __dir__(self):
         """Filter the output of `dir(mock)` to only useful members.
         XXXX
         """
         extras = self._mock_methods or []
         from_type = dir(type(self))
         from_dict = list(self.__dict__)
         if FILTER_DIR:
             from_type = [e for e in from_type if not e.startswith('_')]
             from_dict = [e for e in from_dict if not e.startswith('_') or
                          _is_magic(e)]
         return sorted(set(extras + from_type + from_dict +
                           list(self._mock_children)))
     def __setattr__(self, name, value):
         if name in _allowed_names:
             # property setters go through here
             return object.__setattr__(self, name, value)
         elif (self._spec_set and self._mock_methods is not None and
             name not in self._mock_methods and
             name not in self.__dict__):
             raise AttributeError("Mock object has no attribute '%s'" % name)
         elif name in _unsupported_magics:
             msg = 'Attempting to set unsupported magic method %r.' % name
             raise AttributeError(msg)
         elif name in _all_magics:
             if self._mock_methods is not None and name not in self._mock_methods:
                 raise AttributeError("Mock object has no attribute '%s'" % name)
             if not _is_instance_mock(value):
                 setattr(type(self), name, _get_method(name, value))
                 original = value
                 value = lambda *args, **kw: original(self, *args, **kw)
             else:
                 # only set _new_name and not name so that mock_calls is tracked
                 # but not method calls
                 _check_and_set_parent(self, value, None, name)
                 setattr(type(self), name, value)
                 self._mock_children[name] = value
         elif name == '__class__':
             self._spec_class = value
             return
         else:
             if _check_and_set_parent(self, value, name, name):
                 self._mock_children[name] = value
         return object.__setattr__(self, name, value)
     def __delattr__(self, name):
         if name in _all_magics and name in type(self).__dict__:
             delattr(type(self), name)
             if name not in self.__dict__:
                 # for magic methods that are still MagicProxy objects and
                 # not set on the instance itself
                 return
         if name in self.__dict__:
             object.__delattr__(self, name)
         obj = self._mock_children.get(name, _missing)
         if obj is _deleted:
             raise AttributeError(name)
         if obj is not _missing:
             del self._mock_children[name]
         self._mock_children[name] = _deleted
     def _format_mock_call_signature(self, args, kwargs):
         name = self._mock_name or 'mock'
         return _format_call_signature(name, args, kwargs)
     def _format_mock_failure_message(self, args, kwargs):
         message = 'Expected call: %s\nActual call: %s'
         expected_string = self._format_mock_call_signature(args, kwargs)
         call_args = self.call_args
         if len(call_args) == 3:
             call_args = call_args[1:]
         actual_string = self._format_mock_call_signature(*call_args)
         return message % (expected_string, actual_string)
     def assert_called_with(_mock_self, *args, **kwargs):
         """assert that the mock was called with the specified arguments.
         Raises an AssertionError if the args and keyword args passed in are
         different to the last call to the mock."""
         self = _mock_self
         if self.call_args is None:
             expected = self._format_mock_call_signature(args, kwargs)
             raise AssertionError('Expected call: %s\nNot called' % (expected,))
         if self.call_args != (args, kwargs):
             msg = self._format_mock_failure_message(args, kwargs)
             raise AssertionError(msg)
     def assert_called_once_with(_mock_self, *args, **kwargs):
         """assert that the mock was called exactly once and with the specified
         arguments."""
         self = _mock_self
         if not self.call_count == 1:
             msg = ("Expected to be called once. Called %s times." %
                    self.call_count)
             raise AssertionError(msg)
         return self.assert_called_with(*args, **kwargs)
     def assert_has_calls(self, calls, any_order=False):
         """assert the mock has been called with the specified calls.
         The `mock_calls` list is checked for the calls.
         If `any_order` is False (the default) then the calls must be
         sequential. There can be extra calls before or after the
         specified calls.
         If `any_order` is True then the calls can be in any order, but
         they must all appear in `mock_calls`."""
         if not any_order:
             if calls not in self.mock_calls:
                 raise AssertionError(
                     'Calls not found.\nExpected: %r\n'
                     'Actual: %r' % (calls, self.mock_calls)
                 )
             return
         all_calls = list(self.mock_calls)
         not_found = []
         for kall in calls:
             try:
                 all_calls.remove(kall)
             except ValueError:
                 not_found.append(kall)
         if not_found:
             raise AssertionError(
                 '%r not all found in call list' % (tuple(not_found),)
             )
     def assert_any_call(self, *args, **kwargs):
         """assert the mock has been called with the specified arguments.
         The assert passes if the mock has *ever* been called, unlike
         `assert_called_with` and `assert_called_once_with` that only pass if
         the call is the most recent one."""
         kall = call(*args, **kwargs)
         if kall not in self.call_args_list:
             expected_string = self._format_mock_call_signature(args, kwargs)
             raise AssertionError(
                 '%s call not found' % expected_string
             )
     def _get_child_mock(self, **kw):
         """Create the child mocks for attributes and return value.
         By default child mocks will be the same type as the parent.
         Subclasses of Mock may want to override this to customize the way
         child mocks are made.
         For non-callable mocks the callable variant will be used (rather than
         any custom subclass)."""
         _type = type(self)
         if not issubclass(_type, CallableMixin):
             if issubclass(_type, NonCallableMagicMock):
                 klass = MagicMock
             elif issubclass(_type, NonCallableMock) :
                 klass = Mock
         else:
             klass = _type.__mro__[1]
         return klass(**kw)
 def _try_iter(obj):
     if obj is None:
         return obj
     if _is_exception(obj):
         return obj
     if _callable(obj):
         return obj
     try:
         return iter(obj)
     except TypeError:
         # XXXX backwards compatibility
         # but this will blow up on first call - so maybe we should fail early?
         return obj
 class CallableMixin(Base):
     def __init__(self, spec=None, side_effect=None, return_value=DEFAULT,
                  wraps=None, name=None, spec_set=None, parent=None,
                  _spec_state=None, _new_name='', _new_parent=None, **kwargs):
         self.__dict__['_mock_return_value'] = return_value
         _super(CallableMixin, self).__init__(
             spec, wraps, name, spec_set, parent,
             _spec_state, _new_name, _new_parent, **kwargs
         )
         self.side_effect = side_effect
     def _mock_check_sig(self, *args, **kwargs):
         # stub method that can be replaced with one with a specific signature
         pass
     def __call__(_mock_self, *args, **kwargs):
         # can't use self in-case a function / method we are mocking uses self
         # in the signature
         _mock_self._mock_check_sig(*args, **kwargs)
         return _mock_self._mock_call(*args, **kwargs)
     def _mock_call(_mock_self, *args, **kwargs):
         self = _mock_self
         self.called = True
         self.call_count += 1
         self.call_args = _Call((args, kwargs), two=True)
         self.call_args_list.append(_Call((args, kwargs), two=True))
         _new_name = self._mock_new_name
         _new_parent = self._mock_new_parent
         self.mock_calls.append(_Call(('', args, kwargs)))
         seen = set()
         skip_next_dot = _new_name == '()'
         do_method_calls = self._mock_parent is not None
         name = self._mock_name
         while _new_parent is not None:
             this_mock_call = _Call((_new_name, args, kwargs))
             if _new_parent._mock_new_name:
                 dot = '.'
                 if skip_next_dot:
                     dot = ''
                 skip_next_dot = False
                 if _new_parent._mock_new_name == '()':
                     skip_next_dot = True
                 _new_name = _new_parent._mock_new_name + dot + _new_name
             if do_method_calls:
                 if _new_name == name:
                     this_method_call = this_mock_call
                 else:
                     this_method_call = _Call((name, args, kwargs))
                 _new_parent.method_calls.append(this_method_call)
                 do_method_calls = _new_parent._mock_parent is not None
                 if do_method_calls:
                     name = _new_parent._mock_name + '.' + name
             _new_parent.mock_calls.append(this_mock_call)
             _new_parent = _new_parent._mock_new_parent
             # use ids here so as not to call __hash__ on the mocks
             _new_parent_id = id(_new_parent)
             if _new_parent_id in seen:
                 break
             seen.add(_new_parent_id)
         ret_val = DEFAULT
         effect = self.side_effect
         if effect is not None:
             if _is_exception(effect):
                 raise effect
             if not _callable(effect):
                 result = next(effect)
                 if _is_exception(result):
                     raise result
                 return result
             ret_val = effect(*args, **kwargs)
             if ret_val is DEFAULT:
                 ret_val = self.return_value
         if (self._mock_wraps is not None and
              self._mock_return_value is DEFAULT):
             return self._mock_wraps(*args, **kwargs)
         if ret_val is DEFAULT:
             ret_val = self.return_value
         return ret_val
 class Mock(CallableMixin, NonCallableMock):
     """
     Create a new `Mock` object. `Mock` takes several optional arguments
     that specify the behaviour of the Mock object:
     * `spec`: This can be either a list of strings or an existing object (a
       class or instance) that acts as the specification for the mock object. If
       you pass in an object then a list of strings is formed by calling dir on
       the object (excluding unsupported magic attributes and methods). Accessing
       any attribute not in this list will raise an `AttributeError`.
       If `spec` is an object (rather than a list of strings) then
       `mock.__class__` returns the class of the spec object. This allows mocks
       to pass `isinstance` tests.
     * `spec_set`: A stricter variant of `spec`. If used, attempting to *set*
       or get an attribute on the mock that isn't on the object passed as
       `spec_set` will raise an `AttributeError`.
     * `side_effect`: A function to be called whenever the Mock is called. See
       the `side_effect` attribute. Useful for raising exceptions or
       dynamically changing return values. The function is called with the same
       arguments as the mock, and unless it returns `DEFAULT`, the return
       value of this function is used as the return value.
       Alternatively `side_effect` can be an exception class or instance. In
       this case the exception will be raised when the mock is called.
       If `side_effect` is an iterable then each call to the mock will return
       the next value from the iterable. If any of the members of the iterable
       are exceptions they will be raised instead of returned.
     * `return_value`: The value returned when the mock is called. By default
       this is a new Mock (created on first access). See the
       `return_value` attribute.
     * `wraps`: Item for the mock object to wrap. If `wraps` is not None then
       calling the Mock will pass the call through to the wrapped object
       (returning the real result). Attribute access on the mock will return a
       Mock object that wraps the corresponding attribute of the wrapped object
       (so attempting to access an attribute that doesn't exist will raise an
       `AttributeError`).
       If the mock has an explicit `return_value` set then calls are not passed
       to the wrapped object and the `return_value` is returned instead.
     * `name`: If the mock has a name then it will be used in the repr of the
       mock. This can be useful for debugging. The name is propagated to child
       mocks.
     Mocks can also be called with arbitrary keyword arguments. These will be
     used to set attributes on the mock after it is created.
     """
 def _dot_lookup(thing, comp, import_path):
     try:
         return getattr(thing, comp)
     except AttributeError:
         __import__(import_path)
         return getattr(thing, comp)
 def _importer(target):
     components = target.split('.')
     import_path = components.pop(0)
     thing = __import__(import_path)
     for comp in components:
         import_path += ".%s" % comp
         thing = _dot_lookup(thing, comp, import_path)
     return thing
 def _is_started(patcher):
     # XXXX horrible
     return hasattr(patcher, 'is_local')
 class _patch(object):
     attribute_name = None
     _active_patches = set()
     def __init__(
             self, getter, attribute, new, spec, create,
             spec_set, autospec, new_callable, kwargs
         ):
         if new_callable is not None:
             if new is not DEFAULT:
                 raise ValueError(
                     "Cannot use 'new' and 'new_callable' together"
                 )
             if autospec is not None:
                 raise ValueError(
                     "Cannot use 'autospec' and 'new_callable' together"
                 )
         self.getter = getter
         self.attribute = attribute
         self.new = new
         self.new_callable = new_callable
         self.spec = spec
         self.create = create
         self.has_local = False
         self.spec_set = spec_set
         self.autospec = autospec
         self.kwargs = kwargs
         self.additional_patchers = []
     def copy(self):
         patcher = _patch(
             self.getter, self.attribute, self.new, self.spec,
             self.create, self.spec_set,
             self.autospec, self.new_callable, self.kwargs
         )
         patcher.attribute_name = self.attribute_name
         patcher.additional_patchers = [
             p.copy() for p in self.additional_patchers
         ]
         return patcher
     def __call__(self, func):
         if isinstance(func, ClassTypes):
             return self.decorate_class(func)
         return self.decorate_callable(func)
     def decorate_class(self, klass):
         for attr in dir(klass):
             if not attr.startswith(patch.TEST_PREFIX):
                 continue
             attr_value = getattr(klass, attr)
             if not hasattr(attr_value, "__call__"):
                 continue
             patcher = self.copy()
             setattr(klass, attr, patcher(attr_value))
         return klass
     def decorate_callable(self, func):
         if hasattr(func, 'patchings'):
             func.patchings.append(self)
             return func
         @wraps(func)
         def patched(*args, **keywargs):
             # don't use a with here (backwards compatability with Python 2.4)
             extra_args = []
             entered_patchers = []
             # can't use try...except...finally because of Python 2.4
             # compatibility
             exc_info = tuple()
             try:
                 try:
                     for patching in patched.patchings:
                         arg = patching.__enter__()
                         entered_patchers.append(patching)
                         if patching.attribute_name is not None:
                             keywargs.update(arg)
                         elif patching.new is DEFAULT:
                             extra_args.append(arg)
                     args += tuple(extra_args)
                     return func(*args, **keywargs)
                 except:
                     if (patching not in entered_patchers and
                         _is_started(patching)):
                         # the patcher may have been started, but an exception
                         # raised whilst entering one of its additional_patchers
                         entered_patchers.append(patching)
                     # Pass the exception to __exit__
                     exc_info = sys.exc_info()
                     # re-raise the exception
                     raise
             finally:
                 for patching in reversed(entered_patchers):
                     patching.__exit__(*exc_info)
         patched.patchings = [self]
         if hasattr(func, 'func_code'):
             # not in Python 3
             patched.compat_co_firstlineno = getattr(
                 func, "compat_co_firstlineno",
                 func.func_code.co_firstlineno
             )
         return patched
     def get_original(self):
         target = self.getter()
         name = self.attribute
         original = DEFAULT
         local = False
         try:
             original = target.__dict__[name]
         except (AttributeError, KeyError):
             original = getattr(target, name, DEFAULT)
         else:
             local = True
         if not self.create and original is DEFAULT:
             raise AttributeError(
                 "%s does not have the attribute %r" % (target, name)
             )
         return original, local
     def __enter__(self):
         """Perform the patch."""
         new, spec, spec_set = self.new, self.spec, self.spec_set
         autospec, kwargs = self.autospec, self.kwargs
         new_callable = self.new_callable
         self.target = self.getter()
         # normalise False to None
         if spec is False:
             spec = None
         if spec_set is False:
             spec_set = None
         if autospec is False:
             autospec = None
         if spec is not None and autospec is not None:
             raise TypeError("Can't specify spec and autospec")
         if ((spec is not None or autospec is not None) and
             spec_set not in (True, None)):
             raise TypeError("Can't provide explicit spec_set *and* spec or autospec")
         original, local = self.get_original()
         if new is DEFAULT and autospec is None:
             inherit = False
             if spec is True:
                 # set spec to the object we are replacing
                 spec = original
                 if spec_set is True:
                     spec_set = original
                     spec = None
             elif spec is not None:
                 if spec_set is True:
                     spec_set = spec
                     spec = None
             elif spec_set is True:
                 spec_set = original
             if spec is not None or spec_set is not None:
                 if original is DEFAULT:
                     raise TypeError("Can't use 'spec' with create=True")
                 if isinstance(original, ClassTypes):
                     # If we're patching out a class and there is a spec
                     inherit = True
             Klass = MagicMock
             _kwargs = {}
             if new_callable is not None:
                 Klass = new_callable
             elif spec is not None or spec_set is not None:
                 this_spec = spec
                 if spec_set is not None:
                     this_spec = spec_set
                 if _is_list(this_spec):
                     not_callable = '__call__' not in this_spec
                 else:
                     not_callable = not _callable(this_spec)
                 if not_callable:
                     Klass = NonCallableMagicMock
             if spec is not None:
                 _kwargs['spec'] = spec
             if spec_set is not None:
                 _kwargs['spec_set'] = spec_set
             # add a name to mocks
             if (isinstance(Klass, type) and
                 issubclass(Klass, NonCallableMock) and self.attribute):
                 _kwargs['name'] = self.attribute
             _kwargs.update(kwargs)
             new = Klass(**_kwargs)
             if inherit and _is_instance_mock(new):
                 # we can only tell if the instance should be callable if the
                 # spec is not a list
                 this_spec = spec
                 if spec_set is not None:
                     this_spec = spec_set
                 if (not _is_list(this_spec) and not
                     _instance_callable(this_spec)):
                     Klass = NonCallableMagicMock
                 _kwargs.pop('name')
                 new.return_value = Klass(_new_parent=new, _new_name='()',
                                          **_kwargs)
         elif autospec is not None:
             # spec is ignored, new *must* be default, spec_set is treated
             # as a boolean. Should we check spec is not None and that spec_set
             # is a bool?
             if new is not DEFAULT:
                 raise TypeError(
                     "autospec creates the mock for you. Can't specify "
                     "autospec and new."
                 )
             if original is DEFAULT:
                 raise TypeError("Can't use 'autospec' with create=True")
             spec_set = bool(spec_set)
             if autospec is True:
                 autospec = original
             new = create_autospec(autospec, spec_set=spec_set,
                                   _name=self.attribute, **kwargs)
         elif kwargs:
             # can't set keyword args when we aren't creating the mock
             # XXXX If new is a Mock we could call new.configure_mock(**kwargs)
             raise TypeError("Can't pass kwargs to a mock we aren't creating")
         new_attr = new
         self.temp_original = original
         self.is_local = local
         setattr(self.target, self.attribute, new_attr)
         if self.attribute_name is not None:
             extra_args = {}
             if self.new is DEFAULT:
                 extra_args[self.attribute_name] =  new
             for patching in self.additional_patchers:
                 arg = patching.__enter__()
                 if patching.new is DEFAULT:
                     extra_args.update(arg)
             return extra_args
         return new
     def __exit__(self, *exc_info):
         """Undo the patch."""
         if not _is_started(self):
             raise RuntimeError('stop called on unstarted patcher')
         if self.is_local and self.temp_original is not DEFAULT:
             setattr(self.target, self.attribute, self.temp_original)
         else:
             delattr(self.target, self.attribute)
             if not self.create and not hasattr(self.target, self.attribute):
                 # needed for proxy objects like django settings
                 setattr(self.target, self.attribute, self.temp_original)
         del self.temp_original
         del self.is_local
         del self.target
         for patcher in reversed(self.additional_patchers):
             if _is_started(patcher):
                 patcher.__exit__(*exc_info)
     def start(self):
         """Activate a patch, returning any created mock."""
         result = self.__enter__()
         self._active_patches.add(self)
         return result
     def stop(self):
         """Stop an active patch."""
         self._active_patches.discard(self)
         return self.__exit__()
 def _get_target(target):
     try:
         target, attribute = target.rsplit('.', 1)
     except (TypeError, ValueError):
         raise TypeError("Need a valid target to patch. You supplied: %r" %
                         (target,))
     getter = lambda: _importer(target)
     return getter, attribute
 def _patch_object(
         target, attribute, new=DEFAULT, spec=None,
         create=False, spec_set=None, autospec=None,
         new_callable=None, **kwargs
     ):
     """
     patch.object(target, attribute, new=DEFAULT, spec=None, create=False,
                  spec_set=None, autospec=None, new_callable=None, **kwargs)
     patch the named member (`attribute`) on an object (`target`) with a mock
     object.
     `patch.object` can be used as a decorator, class decorator or a context
     manager. Arguments `new`, `spec`, `create`, `spec_set`,
     `autospec` and `new_callable` have the same meaning as for `patch`. Like
     `patch`, `patch.object` takes arbitrary keyword arguments for configuring
     the mock object it creates.
     When used as a class decorator `patch.object` honours `patch.TEST_PREFIX`
     for choosing which methods to wrap.
     """
     getter = lambda: target
     return _patch(
         getter, attribute, new, spec, create,
         spec_set, autospec, new_callable, kwargs
     )
 def _patch_multiple(target, spec=None, create=False, spec_set=None,
                     autospec=None, new_callable=None, **kwargs):
     """Perform multiple patches in a single call. It takes the object to be
     patched (either as an object or a string to fetch the object by importing)
     and keyword arguments for the patches::
         with patch.multiple(settings, FIRST_PATCH='one', SECOND_PATCH='two'):
             ...
     Use `DEFAULT` as the value if you want `patch.multiple` to create
     mocks for you. In this case the created mocks are passed into a decorated
     function by keyword, and a dictionary is returned when `patch.multiple` is
     used as a context manager.
     `patch.multiple` can be used as a decorator, class decorator or a context
     manager. The arguments `spec`, `spec_set`, `create`,
     `autospec` and `new_callable` have the same meaning as for `patch`. These
     arguments will be applied to *all* patches done by `patch.multiple`.
     When used as a class decorator `patch.multiple` honours `patch.TEST_PREFIX`
     for choosing which methods to wrap.
     """
     if type(target) in (unicode, str):
         getter = lambda: _importer(target)
     else:
         getter = lambda: target
     if not kwargs:
         raise ValueError(
             'Must supply at least one keyword argument with patch.multiple'
         )
     # need to wrap in a list for python 3, where items is a view
     items = list(kwargs.items())
     attribute, new = items[0]
     patcher = _patch(
         getter, attribute, new, spec, create, spec_set,
         autospec, new_callable, {}
     )
     patcher.attribute_name = attribute
     for attribute, new in items[1:]:
         this_patcher = _patch(
             getter, attribute, new, spec, create, spec_set,
             autospec, new_callable, {}
         )
         this_patcher.attribute_name = attribute
         patcher.additional_patchers.append(this_patcher)
     return patcher
 def patch(
         target, new=DEFAULT, spec=None, create=False,
         spec_set=None, autospec=None, new_callable=None, **kwargs
     ):
     """
     `patch` acts as a function decorator, class decorator or a context
     manager. Inside the body of the function or with statement, the `target`
     is patched with a `new` object. When the function/with statement exits
     the patch is undone.
     If `new` is omitted, then the target is replaced with a
     `MagicMock`. If `patch` is used as a decorator and `new` is
     omitted, the created mock is passed in as an extra argument to the
     decorated function. If `patch` is used as a context manager the created
     mock is returned by the context manager.
     `target` should be a string in the form `'package.module.ClassName'`. The
     `target` is imported and the specified object replaced with the `new`
     object, so the `target` must be importable from the environment you are
     calling `patch` from. The target is imported when the decorated function
     is executed, not at decoration time.
     The `spec` and `spec_set` keyword arguments are passed to the `MagicMock`
     if patch is creating one for you.
     In addition you can pass `spec=True` or `spec_set=True`, which causes
     patch to pass in the object being mocked as the spec/spec_set object.
     `new_callable` allows you to specify a different class, or callable object,
     that will be called to create the `new` object. By default `MagicMock` is
     used.
     A more powerful form of `spec` is `autospec`. If you set `autospec=True`
     then the mock with be created with a spec from the object being replaced.
     All attributes of the mock will also have the spec of the corresponding
     attribute of the object being replaced. Methods and functions being
     mocked will have their arguments checked and will raise a `TypeError` if
     they are called with the wrong signature. For mocks replacing a class,
     their return value (the 'instance') will have the same spec as the class.
     Instead of `autospec=True` you can pass `autospec=some_object` to use an
     arbitrary object as the spec instead of the one being replaced.
     By default `patch` will fail to replace attributes that don't exist. If
     you pass in `create=True`, and the attribute doesn't exist, patch will
     create the attribute for you when the patched function is called, and
     delete it again afterwards. This is useful for writing tests against
     attributes that your production code creates at runtime. It is off by by
     default because it can be dangerous. With it switched on you can write
     passing tests against APIs that don't actually exist!
     Patch can be used as a `TestCase` class decorator. It works by
     decorating each test method in the class. This reduces the boilerplate
     code when your test methods share a common patchings set. `patch` finds
     tests by looking for method names that start with `patch.TEST_PREFIX`.
     By default this is `test`, which matches the way `unittest` finds tests.
     You can specify an alternative prefix by setting `patch.TEST_PREFIX`.
     Patch can be used as a context manager, with the with statement. Here the
     patching applies to the indented block after the with statement. If you
     use "as" then the patched object will be bound to the name after the
     "as"; very useful if `patch` is creating a mock object for you.
     `patch` takes arbitrary keyword arguments. These will be passed to
     the `Mock` (or `new_callable`) on construction.
     `patch.dict(...)`, `patch.multiple(...)` and `patch.object(...)` are
     available for alternate use-cases.
     """
     getter, attribute = _get_target(target)
     return _patch(
         getter, attribute, new, spec, create,
         spec_set, autospec, new_callable, kwargs
     )
 class _patch_dict(object):
     """
     Patch a dictionary, or dictionary like object, and restore the dictionary
     to its original state after the test.
     `in_dict` can be a dictionary or a mapping like container. If it is a
     mapping then it must at least support getting, setting and deleting items
     plus iterating over keys.
     `in_dict` can also be a string specifying the name of the dictionary, which
     will then be fetched by importing it.
     `values` can be a dictionary of values to set in the dictionary. `values`
     can also be an iterable of `(key, value)` pairs.
     If `clear` is True then the dictionary will be cleared before the new
     values are set.
     `patch.dict` can also be called with arbitrary keyword arguments to set
     values in the dictionary::
         with patch.dict('sys.modules', mymodule=Mock(), other_module=Mock()):
             ...
     `patch.dict` can be used as a context manager, decorator or class
     decorator. When used as a class decorator `patch.dict` honours
     `patch.TEST_PREFIX` for choosing which methods to wrap.
     """
     def __init__(self, in_dict, values=(), clear=False, **kwargs):
         if isinstance(in_dict, basestring):
             in_dict = _importer(in_dict)
         self.in_dict = in_dict
         # support any argument supported by dict(...) constructor
         self.values = dict(values)
         self.values.update(kwargs)
         self.clear = clear
         self._original = None
     def __call__(self, f):
         if isinstance(f, ClassTypes):
             return self.decorate_class(f)
         @wraps(f)
         def _inner(*args, **kw):
             self._patch_dict()
             try:
                 return f(*args, **kw)
             finally:
                 self._unpatch_dict()
         return _inner
     def decorate_class(self, klass):
         for attr in dir(klass):
             attr_value = getattr(klass, attr)
             if (attr.startswith(patch.TEST_PREFIX) and
                  hasattr(attr_value, "__call__")):
                 decorator = _patch_dict(self.in_dict, self.values, self.clear)
                 decorated = decorator(attr_value)
                 setattr(klass, attr, decorated)
         return klass
     def __enter__(self):
         """Patch the dict."""
         self._patch_dict()
     def _patch_dict(self):
         values = self.values
         in_dict = self.in_dict
         clear = self.clear
         try:
             original = in_dict.copy()
         except AttributeError:
             # dict like object with no copy method
             # must support iteration over keys
             original = {}
             for key in in_dict:
                 original[key] = in_dict[key]
         self._original = original
         if clear:
             _clear_dict(in_dict)
         try:
             in_dict.update(values)
         except AttributeError:
             # dict like object with no update method
             for key in values:
                 in_dict[key] = values[key]
     def _unpatch_dict(self):
         in_dict = self.in_dict
         original = self._original
         _clear_dict(in_dict)
         try:
             in_dict.update(original)
         except AttributeError:
             for key in original:
                 in_dict[key] = original[key]
     def __exit__(self, *args):
         """Unpatch the dict."""
         self._unpatch_dict()
         return False
     start = __enter__
     stop = __exit__
 def _clear_dict(in_dict):
     try:
         in_dict.clear()
     except AttributeError:
         keys = list(in_dict)
         for key in keys:
             del in_dict[key]
 def _patch_stopall():
     """Stop all active patches."""
     for patch in list(_patch._active_patches):
         patch.stop()
 patch.object = _patch_object
 patch.dict = _patch_dict
 patch.multiple = _patch_multiple
 patch.stopall = _patch_stopall
 patch.TEST_PREFIX = 'test'
 magic_methods = (
     "lt le gt ge eq ne "
     "getitem setitem delitem "
     "len contains iter "
     "hash str sizeof "
     "enter exit "
     "divmod neg pos abs invert "
     "complex int float index "
     "trunc floor ceil "
 )
 numerics = "add sub mul div floordiv mod lshift rshift and xor or pow "
 inplace = ' '.join('i%s' % n for n in numerics.split())
 right = ' '.join('r%s' % n for n in numerics.split())
 extra = ''
 if inPy3k:
     extra = 'bool next '
 else:
     extra = 'unicode long nonzero oct hex truediv rtruediv '
 # not including __prepare__, __instancecheck__, __subclasscheck__
 # (as they are metaclass methods)
 # __del__ is not supported at all as it causes problems if it exists
 _non_defaults = set('__%s__' % method for method in [
     'cmp', 'getslice', 'setslice', 'coerce', 'subclasses',
     'format', 'get', 'set', 'delete', 'reversed',
     'missing', 'reduce', 'reduce_ex', 'getinitargs',
     'getnewargs', 'getstate', 'setstate', 'getformat',
     'setformat', 'repr', 'dir'
 ])
 def _get_method(name, func):
     "Turns a callable object (like a mock) into a real function"
     def method(self, *args, **kw):
         return func(self, *args, **kw)
     method.__name__ = name
     return method
 _magics = set(
     '__%s__' % method for method in
     ' '.join([magic_methods, numerics, inplace, right, extra]).split()
 )
 _all_magics = _magics | _non_defaults
 _unsupported_magics = set([
     '__getattr__', '__setattr__',
     '__init__', '__new__', '__prepare__'
     '__instancecheck__', '__subclasscheck__',
     '__del__'
 ])
 _calculate_return_value = {
     '__hash__': lambda self: object.__hash__(self),
     '__str__': lambda self: object.__str__(self),
     '__sizeof__': lambda self: object.__sizeof__(self),
     '__unicode__': lambda self: unicode(object.__str__(self)),
 }
 _return_values = {
     '__lt__': NotImplemented,
     '__gt__': NotImplemented,
     '__le__': NotImplemented,
     '__ge__': NotImplemented,
     '__int__': 1,
     '__contains__': False,
     '__len__': 0,
     '__exit__': False,
     '__complex__': 1j,
     '__float__': 1.0,
     '__bool__': True,
     '__nonzero__': True,
     '__oct__': '1',
     '__hex__': '0x1',
     '__long__': long(1),
     '__index__': 1,
 }
 def _get_eq(self):
     def __eq__(other):
         ret_val = self.__eq__._mock_return_value
         if ret_val is not DEFAULT:
             return ret_val
         return self is other
     return __eq__
 def _get_ne(self):
     def __ne__(other):
         if self.__ne__._mock_return_value is not DEFAULT:
             return DEFAULT
         return self is not other
     return __ne__
 def _get_iter(self):
     def __iter__():
         ret_val = self.__iter__._mock_return_value
         if ret_val is DEFAULT:
             return iter([])
         # if ret_val was already an iterator, then calling iter on it should
         # return the iterator unchanged
         return iter(ret_val)
     return __iter__
 _side_effect_methods = {
     '__eq__': _get_eq,
     '__ne__': _get_ne,
     '__iter__': _get_iter,
 }
 def _set_return_value(mock, method, name):
     fixed = _return_values.get(name, DEFAULT)
     if fixed is not DEFAULT:
         method.return_value = fixed
         return
     return_calulator = _calculate_return_value.get(name)
     if return_calulator is not None:
         try:
             return_value = return_calulator(mock)
         except AttributeError:
             # XXXX why do we return AttributeError here?
             #      set it as a side_effect instead?
             return_value = AttributeError(name)
         method.return_value = return_value
         return
     side_effector = _side_effect_methods.get(name)
     if side_effector is not None:
         method.side_effect = side_effector(mock)
 class MagicMixin(object):
     def __init__(self, *args, **kw):
         _super(MagicMixin, self).__init__(*args, **kw)
         self._mock_set_magics()
     def _mock_set_magics(self):
         these_magics = _magics
         if self._mock_methods is not None:
             these_magics = _magics.intersection(self._mock_methods)
             remove_magics = set()
             remove_magics = _magics - these_magics
             for entry in remove_magics:
                 if entry in type(self).__dict__:
                     # remove unneeded magic methods
                     delattr(self, entry)
         # don't overwrite existing attributes if called a second time
         these_magics = these_magics - set(type(self).__dict__)
         _type = type(self)
         for entry in these_magics:
             setattr(_type, entry, MagicProxy(entry, self))
 class NonCallableMagicMock(MagicMixin, NonCallableMock):
     """A version of `MagicMock` that isn't callable."""
     def mock_add_spec(self, spec, spec_set=False):
         """Add a spec to a mock. `spec` can either be an object or a
         list of strings. Only attributes on the `spec` can be fetched as
         attributes from the mock.
         If `spec_set` is True then only attributes on the spec can be set."""
         self._mock_add_spec(spec, spec_set)
         self._mock_set_magics()
 class MagicMock(MagicMixin, Mock):
     """
     MagicMock is a subclass of Mock with default implementations
     of most of the magic methods. You can use MagicMock without having to
     configure the magic methods yourself.
     If you use the `spec` or `spec_set` arguments then *only* magic
     methods that exist in the spec will be created.
     Attributes and the return value of a `MagicMock` will also be `MagicMocks`.
     """
     def mock_add_spec(self, spec, spec_set=False):
         """Add a spec to a mock. `spec` can either be an object or a
         list of strings. Only attributes on the `spec` can be fetched as
         attributes from the mock.
         If `spec_set` is True then only attributes on the spec can be set."""
         self._mock_add_spec(spec, spec_set)
         self._mock_set_magics()
 class MagicProxy(object):
     def __init__(self, name, parent):
         self.name = name
         self.parent = parent
     def __call__(self, *args, **kwargs):
         m = self.create_mock()
         return m(*args, **kwargs)
     def create_mock(self):
         entry = self.name
         parent = self.parent
         m = parent._get_child_mock(name=entry, _new_name=entry,
                                    _new_parent=parent)
         setattr(parent, entry, m)
         _set_return_value(parent, m, entry)
         return m
     def __get__(self, obj, _type=None):
         return self.create_mock()
 class _ANY(object):
     "A helper object that compares equal to everything."
     def __eq__(self, other):
         return True
     def __ne__(self, other):
         return False
     def __repr__(self):
         return '<ANY>'
 ANY = _ANY()
 def _format_call_signature(name, args, kwargs):
     message = '%s(%%s)' % name
     formatted_args = ''
     args_string = ', '.join([repr(arg) for arg in args])
     kwargs_string = ', '.join([
         '%s=%r' % (key, value) for key, value in kwargs.items()
     ])
     if args_string:
         formatted_args = args_string
     if kwargs_string:
         if formatted_args:
             formatted_args += ', '
         formatted_args += kwargs_string
     return message % formatted_args
 class _Call(tuple):
     """
     A tuple for holding the results of a call to a mock, either in the form
     `(args, kwargs)` or `(name, args, kwargs)`.
     If args or kwargs are empty then a call tuple will compare equal to
     a tuple without those values. This makes comparisons less verbose::
         _Call(('name', (), {})) == ('name',)
         _Call(('name', (1,), {})) == ('name', (1,))
         _Call(((), {'a': 'b'})) == ({'a': 'b'},)
     The `_Call` object provides a useful shortcut for comparing with call::
         _Call(((1, 2), {'a': 3})) == call(1, 2, a=3)
         _Call(('foo', (1, 2), {'a': 3})) == call.foo(1, 2, a=3)
     If the _Call has no name then it will match any name.
     """
     def __new__(cls, value=(), name=None, parent=None, two=False,
                 from_kall=True):
         name = ''
         args = ()
         kwargs = {}
         _len = len(value)
         if _len == 3:
             name, args, kwargs = value
         elif _len == 2:
             first, second = value
             if isinstance(first, basestring):
                 name = first
                 if isinstance(second, tuple):
                     args = second
                 else:
                     kwargs = second
             else:
                 args, kwargs = first, second
         elif _len == 1:
             value, = value
             if isinstance(value, basestring):
                 name = value
             elif isinstance(value, tuple):
                 args = value
             else:
                 kwargs = value
         if two:
             return tuple.__new__(cls, (args, kwargs))
         return tuple.__new__(cls, (name, args, kwargs))
     def __init__(self, value=(), name=None, parent=None, two=False,
                  from_kall=True):
         self.name = name
         self.parent = parent
         self.from_kall = from_kall
     def __eq__(self, other):
         if other is ANY:
             return True
         try:
             len_other = len(other)
         except TypeError:
             return False
         self_name = ''
         if len(self) == 2:
             self_args, self_kwargs = self
         else:
             self_name, self_args, self_kwargs = self
         other_name = ''
         if len_other == 0:
             other_args, other_kwargs = (), {}
         elif len_other == 3:
             other_name, other_args, other_kwargs = other
         elif len_other == 1:
             value, = other
             if isinstance(value, tuple):
                 other_args = value
                 other_kwargs = {}
             elif isinstance(value, basestring):
                 other_name = value
                 other_args, other_kwargs = (), {}
             else:
                 other_args = ()
                 other_kwargs = value
         else:
             # len 2
             # could be (name, args) or (name, kwargs) or (args, kwargs)
             first, second = other
             if isinstance(first, basestring):
                 other_name = first
                 if isinstance(second, tuple):
                     other_args, other_kwargs = second, {}
                 else:
                     other_args, other_kwargs = (), second
             else:
                 other_args, other_kwargs = first, second
         if self_name and other_name != self_name:
             return False
         # this order is important for ANY to work!
         return (other_args, other_kwargs) == (self_args, self_kwargs)
     def __ne__(self, other):
         return not self.__eq__(other)
     def __call__(self, *args, **kwargs):
         if self.name is None:
             return _Call(('', args, kwargs), name='()')
         name = self.name + '()'
         return _Call((self.name, args, kwargs), name=name, parent=self)
     def __getattr__(self, attr):
         if self.name is None:
             return _Call(name=attr, from_kall=False)
         name = '%s.%s' % (self.name, attr)
         return _Call(name=name, parent=self, from_kall=False)
     def __repr__(self):
         if not self.from_kall:
             name = self.name or 'call'
             if name.startswith('()'):
                 name = 'call%s' % name
             return name
         if len(self) == 2:
             name = 'call'
             args, kwargs = self
         else:
             name, args, kwargs = self
             if not name:
                 name = 'call'
             elif not name.startswith('()'):
                 name = 'call.%s' % name
             else:
                 name = 'call%s' % name
         return _format_call_signature(name, args, kwargs)
     def call_list(self):
         """For a call object that represents multiple calls, `call_list`
         returns a list of all the intermediate calls as well as the
         final call."""
         vals = []
         thing = self
         while thing is not None:
             if thing.from_kall:
                 vals.append(thing)
             thing = thing.parent
         return _CallList(reversed(vals))
 call = _Call(from_kall=False)
 def create_autospec(spec, spec_set=False, instance=False, _parent=None,
                     _name=None, **kwargs):
     """Create a mock object using another object as a spec. Attributes on the
     mock will use the corresponding attribute on the `spec` object as their
     spec.
     Functions or methods being mocked will have their arguments checked
     to check that they are called with the correct signature.
     If `spec_set` is True then attempting to set attributes that don't exist
     on the spec object will raise an `AttributeError`.
     If a class is used as a spec then the return value of the mock (the
     instance of the class) will have the same spec. You can use a class as the
     spec for an instance object by passing `instance=True`. The returned mock
     will only be callable if instances of the mock are callable.
     `create_autospec` also takes arbitrary keyword arguments that are passed to
     the constructor of the created mock."""
     if _is_list(spec):
         # can't pass a list instance to the mock constructor as it will be
         # interpreted as a list of strings
         spec = type(spec)
     is_type = isinstance(spec, ClassTypes)
     _kwargs = {'spec': spec}
     if spec_set:
         _kwargs = {'spec_set': spec}
     elif spec is None:
         # None we mock with a normal mock without a spec
         _kwargs = {}
     _kwargs.update(kwargs)
     Klass = MagicMock
     if type(spec) in DescriptorTypes:
         # descriptors don't have a spec
         # because we don't know what type they return
         _kwargs = {}
     elif not _callable(spec):
         Klass = NonCallableMagicMock
     elif is_type and instance and not _instance_callable(spec):
         Klass = NonCallableMagicMock
     _new_name = _name
     if _parent is None:
         # for a top level object no _new_name should be set
         _new_name = ''
     mock = Klass(parent=_parent, _new_parent=_parent, _new_name=_new_name,
                  name=_name, **_kwargs)
     if isinstance(spec, FunctionTypes):
         # should only happen at the top level because we don't
         # recurse for functions
         mock = _set_signature(mock, spec)
     else:
         _check_signature(spec, mock, is_type, instance)
     if _parent is not None and not instance:
         _parent._mock_children[_name] = mock
     if is_type and not instance and 'return_value' not in kwargs:
         mock.return_value = create_autospec(spec, spec_set, instance=True,
                                             _name='()', _parent=mock)
     for entry in dir(spec):
         if _is_magic(entry):
             # MagicMock already does the useful magic methods for us
             continue
         if isinstance(spec, FunctionTypes) and entry in FunctionAttributes:
             # allow a mock to actually be a function
             continue
         # XXXX do we need a better way of getting attributes without
         # triggering code execution (?) Probably not - we need the actual
         # object to mock it so we would rather trigger a property than mock
         # the property descriptor. Likewise we want to mock out dynamically
         # provided attributes.
         # XXXX what about attributes that raise exceptions other than
         # AttributeError on being fetched?
         # we could be resilient against it, or catch and propagate the
         # exception when the attribute is fetched from the mock
         try:
             original = getattr(spec, entry)
         except AttributeError:
             continue
         kwargs = {'spec': original}
         if spec_set:
             kwargs = {'spec_set': original}
         if not isinstance(original, FunctionTypes):
             new = _SpecState(original, spec_set, mock, entry, instance)
             mock._mock_children[entry] = new
         else:
             parent = mock
             if isinstance(spec, FunctionTypes):
                 parent = mock.mock
             new = MagicMock(parent=parent, name=entry, _new_name=entry,
                             _new_parent=parent, **kwargs)
             mock._mock_children[entry] = new
             skipfirst = _must_skip(spec, entry, is_type)
             _check_signature(original, new, skipfirst=skipfirst)
         # so functions created with _set_signature become instance attributes,
         # *plus* their underlying mock exists in _mock_children of the parent
         # mock. Adding to _mock_children may be unnecessary where we are also
         # setting as an instance attribute?
         if isinstance(new, FunctionTypes):
             setattr(mock, entry, new)
     return mock
 def _must_skip(spec, entry, is_type):
     if not isinstance(spec, ClassTypes):
         if entry in getattr(spec, '__dict__', {}):
             # instance attribute - shouldn't skip
             return False
         spec = spec.__class__
     if not hasattr(spec, '__mro__'):
         # old style class: can't have descriptors anyway
         return is_type
     for klass in spec.__mro__:
         result = klass.__dict__.get(entry, DEFAULT)
         if result is DEFAULT:
             continue
         if isinstance(result, (staticmethod, classmethod)):
             return False
         return is_type
     # shouldn't get here unless function is a dynamically provided attribute
     # XXXX untested behaviour
     return is_type
 def _get_class(obj):
     try:
         return obj.__class__
     except AttributeError:
         # in Python 2, _sre.SRE_Pattern objects have no __class__
         return type(obj)
 class _SpecState(object):
     def __init__(self, spec, spec_set=False, parent=None,
                  name=None, ids=None, instance=False):
         self.spec = spec
         self.ids = ids
         self.spec_set = spec_set
         self.parent = parent
         self.instance = instance
         self.name = name
 FunctionTypes = (
     # python function
     type(create_autospec),
     # instance method
     type(ANY.__eq__),
     # unbound method
     type(_ANY.__eq__),
 )
 FunctionAttributes = set([
     'func_closure',
     'func_code',
     'func_defaults',
     'func_dict',
     'func_doc',
     'func_globals',
     'func_name',
 ])
 file_spec = None
 def mock_open(mock=None, read_data=''):
     """
     A helper function to create a mock to replace the use of `open`. It works
     for `open` called directly or used as a context manager.
     The `mock` argument is the mock object to configure. If `None` (the
     default) then a `MagicMock` will be created for you, with the API limited
     to methods or attributes available on standard file handles.
     `read_data` is a string for the `read` method of the file handle to return.
     This is an empty string by default.
     """
     global file_spec
     if file_spec is None:
         # set on first use
         if inPy3k:
             import _io
             file_spec = list(set(dir(_io.TextIOWrapper)).union(set(dir(_io.BytesIO))))
         else:
             file_spec = file
     if mock is None:
         mock = MagicMock(name='open', spec=open)
     handle = MagicMock(spec=file_spec)
     handle.write.return_value = None
     handle.__enter__.return_value = handle
     handle.read.return_value = read_data
     mock.return_value = handle
     return mock
 class PropertyMock(Mock):
     """
     A mock intended to be used as a property, or other descriptor, on a class.
     `PropertyMock` provides `__get__` and `__set__` methods so you can specify
     a return value when it is fetched.
     Fetching a `PropertyMock` instance from an object calls the mock, with
     no args. Setting it calls the mock with the value being set.
     """
     def _get_child_mock(self, **kwargs):
         return MagicMock(**kwargs)
     def __get__(self, obj, obj_type):
         return self()
     def __set__(self, obj, val):
         self(val)

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python/mock-1.0.0/mock.py