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cae42d91-890b-4296-ae36-b6d58d79ec31
CPython Docs
file://datasets/cpython/Doc/library/unittest.mock.rst
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*Python* order that decorators are applied). This means from the bottom up, so in the example above the mock for ``module.ClassName1`` is passed in first. With :func:`patch` it matters that you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`...
trusted_official_docs
CPython Docs
*Python* order that decorators are applied). This means from the bottom up, so in the example above the mock for ``module.ClassName1`` is passed in first. With :func:`patch` it matters that you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`...
*Python* order that decorators are applied). This means from the bottom up, so in the example above the mock for ``module.ClassName1`` is passed in first. With :func:`patch` it matters that you patch objects in the namespace where they are looked up. This is normally straightforward, but for a quick guide read :ref:`...
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in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. :mod:`!unittest.mock` provides a core :class:`Mock` class removing the need to create a host of stubs throughout your test suite. After performing an action, you can make assertions a...
trusted_official_docs
CPython Docs
in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. :mod:`!unittest.mock` provides a core :class:`Mock` class removing the need to create a host of stubs throughout your test suite. After performing an action, you can make assertions a...
in Python. It allows you to replace parts of your system under test with mock objects and make assertions about how they have been used. :mod:`!unittest.mock` provides a core :class:`Mock` class removing the need to create a host of stubs throughout your test suite. After performing an action, you can make assertions a...
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The following methods exist but are *not* supported as they are either in use by mock, can't be set dynamically, or can cause problems: * ``__getattr__``, ``__setattr__``, ``__init__`` and ``__new__`` * ``__prepare__``, ``__instancecheck__``, ``__subclasscheck__``, ``__del__``
trusted_official_docs
CPython Docs
The following methods exist but are *not* supported as they are either in use by mock, can't be set dynamically, or can cause problems: * ``__getattr__``, ``__setattr__``, ``__init__`` and ``__new__`` * ``__prepare__``, ``__instancecheck__``, ``__subclasscheck__``, ``__del__``
The following methods exist but are *not* supported as they are either in use by mock, can't be set dynamically, or can cause problems: * ``__getattr__``, ``__setattr__``, ``__init__`` and ``__new__`` * ``__prepare__``, ``__instancecheck__``, ``__subclasscheck__``, ``__del__``
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As well as tracking calls to themselves, mocks also track calls to methods and attributes, and *their* methods and attributes: >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls ...
trusted_official_docs
CPython Docs
As well as tracking calls to themselves, mocks also track calls to methods and attributes, and *their* methods and attributes: >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls ...
As well as tracking calls to themselves, mocks also track calls to methods and attributes, and *their* methods and attributes: >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls ...
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signature. For mocks replacing a class, their return value (the 'instance') will have the same spec as the class. See the :func:`create_autospec` function and :ref:`auto-speccing`. Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replace...
trusted_official_docs
CPython Docs
signature. For mocks replacing a class, their return value (the 'instance') will have the same spec as the class. See the :func:`create_autospec` function and :ref:`auto-speccing`. Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replace...
signature. For mocks replacing a class, their return value (the 'instance') will have the same spec as the class. See the :func:`create_autospec` function and :ref:`auto-speccing`. Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replace...
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the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time. >>> mock = ThreadingMock() >>> thread = threading.Thread(target=mock) >>> thread.start() >>> mock.wait_until_called(timeout=1) >>> thread.join()
trusted_official_docs
CPython Docs
the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time. >>> mock = ThreadingMock() >>> thread = threading.Thread(target=mock) >>> thread.start() >>> mock.wait_until_called(timeout=1) >>> thread.join()
the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time. >>> mock = ThreadingMock() >>> thread = threading.Thread(target=mock) >>> thread.start() >>> mock.wait_until_called(timeout=1) >>> thread.join()
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The ``sentinel`` object provides a convenient way of providing unique objects for your tests. Attributes are created on demand when you access them by name. Accessing the same attribute will always return the same object. The objects returned have a sensible repr so that test failure messages are readable.
trusted_official_docs
CPython Docs
The ``sentinel`` object provides a convenient way of providing unique objects for your tests. Attributes are created on demand when you access them by name. Accessing the same attribute will always return the same object. The objects returned have a sensible repr so that test failure messages are readable.
The ``sentinel`` object provides a convenient way of providing unique objects for your tests. Attributes are created on demand when you access them by name. Accessing the same attribute will always return the same object. The objects returned have a sensible repr so that test failure messages are readable.
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patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'a' Probably the best way of solving the problem is to add class attributes as default values for instance members initialised in :m...
trusted_official_docs
CPython Docs
patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'a' Probably the best way of solving the problem is to add class attributes as default values for instance members initialised in :m...
patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'a' Probably the best way of solving the problem is to add class attributes as default values for instance members initialised in :m...
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CPython Docs
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you want to use an alternative class to the default :class:`MagicMock` for the created mock. For example, if you wanted a :class:`NonCallableMock` to be used:: >>> thing = object() >>> with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback ...
trusted_official_docs
CPython Docs
you want to use an alternative class to the default :class:`MagicMock` for the created mock. For example, if you wanted a :class:`NonCallableMock` to be used:: >>> thing = object() >>> with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback ...
you want to use an alternative class to the default :class:`MagicMock` for the created mock. For example, if you wanted a :class:`NonCallableMock` to be used:: >>> thing = object() >>> with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback ...
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Autospeccing ~~~~~~~~~~~~ Autospeccing is based on the existing :attr:`!spec` feature of mock. It limits the api of mocks to the api of an original object (the spec), but it is recursive (implemented lazily) so that attributes of mocks only have the same api as the attributes of the spec. In addition mocked functions /...
trusted_official_docs
CPython Docs
Autospeccing ~~~~~~~~~~~~ Autospeccing is based on the existing :attr:`!spec` feature of mock. It limits the api of mocks to the api of an original object (the spec), but it is recursive (implemented lazily) so that attributes of mocks only have the same api as the attributes of the spec. In addition mocked functions /...
Autospeccing ~~~~~~~~~~~~ Autospeccing is based on the existing :attr:`!spec` feature of mock. It limits the api of mocks to the api of an original object (the spec), but it is recursive (implemented lazily) so that attributes of mocks only have the same api as the attributes of the spec. In addition mocked functions /...
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be common to create named sentinel objects to test this. :data:`sentinel` provides a convenient way of creating and testing the identity of objects like this. In this example we monkey patch ``method`` to return ``sentinel.some_object``:
trusted_official_docs
CPython Docs
be common to create named sentinel objects to test this. :data:`sentinel` provides a convenient way of creating and testing the identity of objects like this. In this example we monkey patch ``method`` to return ``sentinel.some_object``:
be common to create named sentinel objects to test this. :data:`sentinel` provides a convenient way of creating and testing the identity of objects like this. In this example we monkey patch ``method`` to return ``sentinel.some_object``:
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:meth:`~call.call_list` can construct the sequence of calls from the same chained call: >>> m = MagicMock() >>> m(1).method(arg='foo').other('bar')(2.0) <MagicMock name='mock().method().other()()' id='...'> >>> kall = call(1).method(arg='foo').other('bar')(2.0) >>> kall.call_list() [call(1), call().method(arg='fo...
trusted_official_docs
CPython Docs
:meth:`~call.call_list` can construct the sequence of calls from the same chained call: >>> m = MagicMock() >>> m(1).method(arg='foo').other('bar')(2.0) <MagicMock name='mock().method().other()()' id='...'> >>> kall = call(1).method(arg='foo').other('bar')(2.0) >>> kall.call_list() [call(1), call().method(arg='fo...
:meth:`~call.call_list` can construct the sequence of calls from the same chained call: >>> m = MagicMock() >>> m(1).method(arg='foo').other('bar')(2.0) <MagicMock name='mock().method().other()()' id='...'> >>> kall = call(1).method(arg='foo').other('bar')(2.0) >>> kall.call_list() [call(1), call().method(arg='fo...
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{'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.method() 3 >>> mock_thing.other() Traceback (most recent call last): ... KeyError By default, attempting to patch a function in a module (or a method or an attribute ...
trusted_official_docs
CPython Docs
{'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.method() 3 >>> mock_thing.other() Traceback (most recent call last): ... KeyError By default, attempting to patch a function in a module (or a method or an attribute ...
{'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.method() 3 >>> mock_thing.other() Traceback (most recent call last): ... KeyError By default, attempting to patch a function in a module (or a method or an attribute ...
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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.
trusted_official_docs
CPython Docs
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.
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.
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.. versionchanged:: 3.5 *read_data* is now reset on each call to the *mock*. .. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*.
trusted_official_docs
CPython Docs
.. versionchanged:: 3.5 *read_data* is now reset on each call to the *mock*. .. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*.
.. versionchanged:: 3.5 *read_data* is now reset on each call to the *mock*. .. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*.
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Assert the mock has been awaited with the specified calls. The :attr:`await_args_list` list is checked for the awaits. If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits.
trusted_official_docs
CPython Docs
Assert the mock has been awaited with the specified calls. The :attr:`await_args_list` list is checked for the awaits. If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits.
Assert the mock has been awaited with the specified calls. The :attr:`await_args_list` list is checked for the awaits. If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits.
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>>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True Patching a class replaces the class with a :class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of t...
trusted_official_docs
CPython Docs
>>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True Patching a class replaces the class with a :class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of t...
>>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True Patching a class replaces the class with a :class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of t...
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If :func:`patch.multiple` is used as a context manager, the value returned by the context manager is a dictionary where created mocks are keyed by name:: >>> with patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) as values: ... assert 'other' in repr(values['other']) ... assert 'thing' in repr(values['thing'])...
trusted_official_docs
CPython Docs
If :func:`patch.multiple` is used as a context manager, the value returned by the context manager is a dictionary where created mocks are keyed by name:: >>> with patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) as values: ... assert 'other' in repr(values['other']) ... assert 'thing' in repr(values['thing'])...
If :func:`patch.multiple` is used as a context manager, the value returned by the context manager is a dictionary where created mocks are keyed by name:: >>> with patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) as values: ... assert 'other' in repr(values['other']) ... assert 'thing' in repr(values['thing'])...
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def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>> mock.assert_called_with(a=1, b=2, c=3) This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth...
trusted_official_docs
CPython Docs
def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>> mock.assert_called_with(a=1, b=2, c=3) This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth...
def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>> mock.assert_called_with(a=1, b=2, c=3) This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth...
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Calling ~~~~~~~ Mock objects are callable. The call will return the value set as the :attr:`~Mock.return_value` attribute. The default return value is a new Mock object; it is created the first time the return value is accessed (either explicitly or by calling the Mock) - but it is stored and the same one returned each...
trusted_official_docs
CPython Docs
Calling ~~~~~~~ Mock objects are callable. The call will return the value set as the :attr:`~Mock.return_value` attribute. The default return value is a new Mock object; it is created the first time the return value is accessed (either explicitly or by calling the Mock) - but it is stored and the same one returned each...
Calling ~~~~~~~ Mock objects are callable. The call will return the value set as the :attr:`~Mock.return_value` attribute. The default return value is a new Mock object; it is created the first time the return value is accessed (either explicitly or by calling the Mock) - but it is stored and the same one returned each...
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of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself. The constructor parameters have the same meaning as for :class:`Mock`.
trusted_official_docs
CPython Docs
of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself. The constructor parameters have the same meaning as for :class:`Mock`.
of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself. The constructor parameters have the same meaning as for :class:`Mock`.
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patch the named member (*attribute*) on an object (*target*) with a mock object. :func:`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 :func:`patch`. Like :func:`patch`, :func:`p...
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patch the named member (*attribute*) on an object (*target*) with a mock object. :func:`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 :func:`patch`. Like :func:`patch`, :func:`p...
patch the named member (*attribute*) on an object (*target*) with a mock object. :func:`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 :func:`patch`. Like :func:`patch`, :func:`p...
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assert the mock has been called with the specified calls. The :attr:`mock_calls` list is checked for the calls. If *any_order* is false then the calls must be sequential. There can be extra calls before or after the specified calls.
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assert the mock has been called with the specified calls. The :attr:`mock_calls` list is checked for the calls. If *any_order* is false then the calls must be sequential. There can be extra calls before or after the specified calls.
assert the mock has been called with the specified calls. The :attr:`mock_calls` list is checked for the calls. If *any_order* is false then the calls must be sequential. There can be extra calls before or after the specified calls.
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signature when matching calls to the mock. Therefore, it can match the actual call's arguments regardless of whether they were passed positionally or by name:: >>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>>...
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signature when matching calls to the mock. Therefore, it can match the actual call's arguments regardless of whether they were passed positionally or by name:: >>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>>...
signature when matching calls to the mock. Therefore, it can match the actual call's arguments regardless of whether they were passed positionally or by name:: >>> def f(a, b, c): pass ... >>> mock = Mock(spec=f) >>> mock(1, 2, c=3) <Mock name='mock()' id='140161580456576'> >>> mock.assert_called_with(1, 2, 3) >>>...
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The constructor parameters have the same meaning as for :class:`MagicMock`, with the exception of *return_value* and *side_effect* which have no meaning on a non-callable mock. The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way:
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The constructor parameters have the same meaning as for :class:`MagicMock`, with the exception of *return_value* and *side_effect* which have no meaning on a non-callable mock. The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way:
The constructor parameters have the same meaning as for :class:`MagicMock`, with the exception of *return_value* and *side_effect* which have no meaning on a non-callable mock. The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way:
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MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f Mock names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f Mock names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f Mock names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details. The mock classes and the :func:`patch` decorators all take arbitrary keyword arguments for configuration. For the :func:`patch` decorators the keywords are passed to the constructor of the mo...
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The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details. The mock classes and the :func:`patch` decorators all take arbitrary keyword arguments for configuration. For the :func:`patch` decorators the keywords are passed to the constructor of the mo...
The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details. The mock classes and the :func:`patch` decorators all take arbitrary keyword arguments for configuration. For the :func:`patch` decorators the keywords are passed to the constructor of the mo...
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mock = AsyncMock() >>> async def main(*args): ... await mock(*args) ... >>> mock.await_args_list [] >>> asyncio.run(main('foo')) >>> mock.await_args_list [call('foo')] >>> asyncio.run(main('bar')) >>> mock.await_args_list [call('foo'), call('bar')] .. class:: ThreadingMock(spec=None, side_effect=None, return_value=DEFA...
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mock = AsyncMock() >>> async def main(*args): ... await mock(*args) ... >>> mock.await_args_list [] >>> asyncio.run(main('foo')) >>> mock.await_args_list [call('foo')] >>> asyncio.run(main('bar')) >>> mock.await_args_list [call('foo'), call('bar')] .. class:: ThreadingMock(spec=None, side_effect=None, return_value=DEFA...
mock = AsyncMock() >>> async def main(*args): ... await mock(*args) ... >>> mock.await_args_list [] >>> asyncio.run(main('foo')) >>> mock.await_args_list [call('foo')] >>> asyncio.run(main('bar')) >>> mock.await_args_list [call('foo'), call('bar')] .. class:: ThreadingMock(spec=None, side_effect=None, return_value=DEFA...
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>>> mock = MagicMock() >>> not_a_child = MagicMock(name='not-a-child') >>> mock.attribute = not_a_child >>> mock.attribute() <MagicMock name='not-a-child()' id='...'> >>> mock.mock_calls [] Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :met...
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>>> mock = MagicMock() >>> not_a_child = MagicMock(name='not-a-child') >>> mock.attribute = not_a_child >>> mock.attribute() <MagicMock name='not-a-child()' id='...'> >>> mock.mock_calls [] Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :met...
>>> mock = MagicMock() >>> not_a_child = MagicMock(name='not-a-child') >>> mock.attribute = not_a_child >>> mock.attribute() <MagicMock name='not-a-child()' id='...'> >>> mock.mock_calls [] Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :met...
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``side_effect`` is not defined, the async function will return the value defined by ``return_value``, hence, by default, the async function returns a new :class:`AsyncMock` object. Setting the *spec* of a :class:`Mock` or :class:`MagicMock` to an async function will result in a coroutine object being returned after ca...
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``side_effect`` is not defined, the async function will return the value defined by ``return_value``, hence, by default, the async function returns a new :class:`AsyncMock` object. Setting the *spec* of a :class:`Mock` or :class:`MagicMock` to an async function will result in a coroutine object being returned after ca...
``side_effect`` is not defined, the async function will return the value defined by ``return_value``, hence, by default, the async function returns a new :class:`AsyncMock` object. Setting the *spec* of a :class:`Mock` or :class:`MagicMock` to an async function will result in a coroutine object being returned after ca...
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This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth:`~Mock.assert_any_call`. When :ref:`auto-speccing`, it will also apply to method calls on the mock object. .. versionchanged:: 3.4 Added signature introspection on specced and autospecced m...
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This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth:`~Mock.assert_any_call`. When :ref:`auto-speccing`, it will also apply to method calls on the mock object. .. versionchanged:: 3.4 Added signature introspection on specced and autospecced m...
This applies to :meth:`~Mock.assert_called_with`, :meth:`~Mock.assert_called_once_with`, :meth:`~Mock.assert_has_calls` and :meth:`~Mock.assert_any_call`. When :ref:`auto-speccing`, it will also apply to method calls on the mock object. .. versionchanged:: 3.4 Added signature introspection on specced and autospecced m...
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m.side_effect = side_effect >>> m.return_value = 3 >>> m() 3 >>> def side_effect(*args, **kwargs): ... return DEFAULT ... >>> m.side_effect = side_effect >>> m() 3 To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``:
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m.side_effect = side_effect >>> m.return_value = 3 >>> m() 3 >>> def side_effect(*args, **kwargs): ... return DEFAULT ... >>> m.side_effect = side_effect >>> m() 3 To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``:
m.side_effect = side_effect >>> m.return_value = 3 >>> m() 3 >>> def side_effect(*args, **kwargs): ... return DEFAULT ... >>> m.side_effect = side_effect >>> m() 3 To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``:
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Waits until the mock is called. If a timeout was passed at the creation of the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time.
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Waits until the mock is called. If a timeout was passed at the creation of the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time.
Waits until the mock is called. If a timeout was passed at the creation of the mock or if a timeout argument is passed to this function, the function raises an :exc:`AssertionError` if the call is not performed in time.
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If :attr:`~Mock.side_effect` is exhausted, the order of precedence will not cause a value to be obtained from the successors. Instead, ``StopIteration`` exception is raised. >>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value...
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If :attr:`~Mock.side_effect` is exhausted, the order of precedence will not cause a value to be obtained from the successors. Instead, ``StopIteration`` exception is raised. >>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value...
If :attr:`~Mock.side_effect` is exhausted, the order of precedence will not cause a value to be obtained from the successors. Instead, ``StopIteration`` exception is raised. >>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value...
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Keywords can be used in the :func:`patch.dict` call to set values in the dictionary: >>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish'
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Keywords can be used in the :func:`patch.dict` call to set values in the dictionary: >>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish'
Keywords can be used in the :func:`patch.dict` call to set values in the dictionary: >>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish'
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To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``: >>> m = MagicMock(return_value=6) >>> def side_effect(*args, **kwargs): ... return 3 ... >>> m.side_effect = side_effect >>> m() 3 >>> m.side_effect = None >>> m() 6
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To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``: >>> m = MagicMock(return_value=6) >>> def side_effect(*args, **kwargs): ... return 3 ... >>> m.side_effect = side_effect >>> m() 3 >>> m.side_effect = None >>> m() 6
To remove a :attr:`~Mock.side_effect`, and return to the default behaviour, set the :attr:`!side_effect` to ``None``: >>> m = MagicMock(return_value=6) >>> def side_effect(*args, **kwargs): ... return 3 ... >>> m.side_effect = side_effect >>> m() 3 >>> m.side_effect = None >>> m() 6
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.. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*. Using :func:`open` as a context manager is a great way to ensure your file handles are closed properly and is becoming common::
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.. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*. Using :func:`open` as a context manager is a great way to ensure your file handles are closed properly and is becoming common::
.. versionchanged:: 3.8 Added :meth:`~container.__iter__` to implementation so that iteration (such as in for loops) correctly consumes *read_data*. Using :func:`open` as a context manager is a great way to ensure your file handles are closed properly and is becoming common::
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The patchers recognise methods that start with ``'test'`` as being test methods. This is the same way that the :class:`unittest.TestLoader` finds test methods by default. It is possible that you want to use a different prefix for your tests. You can inform the patchers of the different prefix by setting ``patch.TEST_PR...
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The patchers recognise methods that start with ``'test'`` as being test methods. This is the same way that the :class:`unittest.TestLoader` finds test methods by default. It is possible that you want to use a different prefix for your tests. You can inform the patchers of the different prefix by setting ``patch.TEST_PR...
The patchers recognise methods that start with ``'test'`` as being test methods. This is the same way that the :class:`unittest.TestLoader` finds test methods by default. It is possible that you want to use a different prefix for your tests. You can inform the patchers of the different prefix by setting ``patch.TEST_PR...
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.. caution:: If you use this technique you must ensure that the patching is "undone" by calling ``stop``. This can be fiddlier than you might think, because if an exception is raised in the ``setUp`` then ``tearDown`` is not called. :meth:`unittest.TestCase.addCleanup` makes this easier::
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.. caution:: If you use this technique you must ensure that the patching is "undone" by calling ``stop``. This can be fiddlier than you might think, because if an exception is raised in the ``setUp`` then ``tearDown`` is not called. :meth:`unittest.TestCase.addCleanup` makes this easier::
.. caution:: If you use this technique you must ensure that the patching is "undone" by calling ``stop``. This can be fiddlier than you might think, because if an exception is raised in the ``setUp`` then ``tearDown`` is not called. :meth:`unittest.TestCase.addCleanup` makes this easier::
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>>> mock = Mock(spec=SomeClass) >>> isinstance(mock, SomeClass) True >>> mock = Mock(spec_set=SomeClass()) >>> isinstance(mock, SomeClass) True The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details.
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>>> mock = Mock(spec=SomeClass) >>> isinstance(mock, SomeClass) True >>> mock = Mock(spec_set=SomeClass()) >>> isinstance(mock, SomeClass) True The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details.
>>> mock = Mock(spec=SomeClass) >>> isinstance(mock, SomeClass) True >>> mock = Mock(spec_set=SomeClass()) >>> isinstance(mock, SomeClass) True The :class:`Mock` classes have support for mocking magic methods. See :ref:`magic methods <magic-methods>` for the full details.
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and keep a reference to the returned ``patcher`` object. You can then call :meth:`!start` to put the patch in place and :meth:`!stop` to undo it. If you are using :func:`patch` to create a mock for you then it will be returned by the call to ``patcher.start``. ::
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and keep a reference to the returned ``patcher`` object. You can then call :meth:`!start` to put the patch in place and :meth:`!stop` to undo it. If you are using :func:`patch` to create a mock for you then it will be returned by the call to ``patcher.start``. ::
and keep a reference to the returned ``patcher`` object. You can then call :meth:`!start` to put the patch in place and :meth:`!stop` to undo it. If you are using :func:`patch` to create a mock for you then it will be returned by the call to ``patcher.start``. ::
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Fetching a :class:`PropertyMock` instance from an object calls the mock, with no args. Setting it calls the mock with the value being set. :: >>> class Foo: ... @property ... def foo(self): ... return 'something' ... @foo.setter ... def foo(self, value): ... pass ... >>> with patch('__main__.Foo.foo', new_callab...
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Fetching a :class:`PropertyMock` instance from an object calls the mock, with no args. Setting it calls the mock with the value being set. :: >>> class Foo: ... @property ... def foo(self): ... return 'something' ... @foo.setter ... def foo(self, value): ... pass ... >>> with patch('__main__.Foo.foo', new_callab...
Fetching a :class:`PropertyMock` instance from an object calls the mock, with no args. Setting it calls the mock with the value being set. :: >>> class Foo: ... @property ... def foo(self): ... return 'something' ... @foo.setter ... def foo(self, value): ... pass ... >>> with patch('__main__.Foo.foo', new_callab...
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spec. In addition mocked functions / methods have the same call signature as the original so they raise a :exc:`TypeError` if they are called incorrectly. Before I explain how auto-speccing works, here's why it is needed.
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spec. In addition mocked functions / methods have the same call signature as the original so they raise a :exc:`TypeError` if they are called incorrectly. Before I explain how auto-speccing works, here's why it is needed.
spec. In addition mocked functions / methods have the same call signature as the original so they raise a :exc:`TypeError` if they are called incorrectly. Before I explain how auto-speccing works, here's why it is needed.
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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 ensure that they are called with the correct signature.
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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 ensure that they are called with the correct signature.
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 ensure that they are called with the correct signature.
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>>> mock = MagicMock() >>> mock.__str__.return_value = 'foobarbaz' >>> str(mock) 'foobarbaz' >>> mock.__str__.assert_called_with() Mock allows you to assign functions (or other Mock instances) to magic methods and they will be called appropriately. The :class:`MagicMock` class is just a Mock variant that has all of the...
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>>> mock = MagicMock() >>> mock.__str__.return_value = 'foobarbaz' >>> str(mock) 'foobarbaz' >>> mock.__str__.assert_called_with() Mock allows you to assign functions (or other Mock instances) to magic methods and they will be called appropriately. The :class:`MagicMock` class is just a Mock variant that has all of the...
>>> mock = MagicMock() >>> mock.__str__.return_value = 'foobarbaz' >>> str(mock) 'foobarbaz' >>> mock.__str__.assert_called_with() Mock allows you to assign functions (or other Mock instances) to magic methods and they will be called appropriately. The :class:`MagicMock` class is just a Mock variant that has all of the...
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>>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls [call.method(), call.property.method.attribute()] Members of :attr:`method_calls` are :data:`call` objects. These can be unpacked a...
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>>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls [call.method(), call.property.method.attribute()] Members of :attr:`method_calls` are :data:`call` objects. These can be unpacked a...
>>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.property.method.attribute() <Mock name='mock.property.method.attribute()' id='...'> >>> mock.method_calls [call.method(), call.property.method.attribute()] Members of :attr:`method_calls` are :data:`call` objects. These can be unpacked a...
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If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits. If *any_order* is true then the awaits can be in any order, but they must all appear in :attr:`await_args_list`.
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If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits. If *any_order* is true then the awaits can be in any order, but they must all appear in :attr:`await_args_list`.
If *any_order* is false then the awaits must be sequential. There can be extra calls before or after the specified awaits. If *any_order* is true then the awaits can be in any order, but they must all appear in :attr:`await_args_list`.
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.. class:: MagicMock(*args, **kw) ``MagicMock`` is a subclass of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself.
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.. class:: MagicMock(*args, **kw) ``MagicMock`` is a subclass of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself.
.. class:: MagicMock(*args, **kw) ``MagicMock`` is a subclass of :class:`Mock` with default implementations of most of the :term:`magic methods <magic method>`. You can use ``MagicMock`` without having to configure the magic methods yourself.
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Waits until the mock is called with the specified arguments. If a timeout was passed at the creation of the mock the function raises an :exc:`AssertionError` if the call is not performed in time.
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Waits until the mock is called with the specified arguments. If a timeout was passed at the creation of the mock the function raises an :exc:`AssertionError` if the call is not performed in time.
Waits until the mock is called with the specified arguments. If a timeout was passed at the creation of the mock the function raises an :exc:`AssertionError` if the call is not performed in time.
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Even if you set all three at once when initializing the mock, the order of precedence remains the same: >>> order_mock = Mock(spec=Order, wraps=Order, ... **{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effec...
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Even if you set all three at once when initializing the mock, the order of precedence remains the same: >>> order_mock = Mock(spec=Order, wraps=Order, ... **{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effec...
Even if you set all three at once when initializing the mock, the order of precedence remains the same: >>> order_mock = Mock(spec=Order, wraps=Order, ... **{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effec...
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This method is a convenient way of asserting that the last call has been made in a particular way: >>> mock = Mock() >>> mock.method(1, 2, 3, test='wow') <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_with(1, 2, 3, test='wow')
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This method is a convenient way of asserting that the last call has been made in a particular way: >>> mock = Mock() >>> mock.method(1, 2, 3, test='wow') <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_with(1, 2, 3, test='wow')
This method is a convenient way of asserting that the last call has been made in a particular way: >>> mock = Mock() >>> mock.method(1, 2, 3, test='wow') <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_with(1, 2, 3, test='wow')
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class Something: a = 33 This brings up another issue. It is relatively common to provide a default value of ``None`` for members that will later be an object of a different type. ``None`` would be useless as a spec because it wouldn't let you access *any* attributes or methods on it. As ``None`` is *never* going to be ...
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class Something: a = 33 This brings up another issue. It is relatively common to provide a default value of ``None`` for members that will later be an object of a different type. ``None`` would be useless as a spec because it wouldn't let you access *any* attributes or methods on it. As ``None`` is *never* going to be ...
class Something: a = 33 This brings up another issue. It is relatively common to provide a default value of ``None`` for members that will later be an object of a different type. ``None`` would be useless as a spec because it wouldn't let you access *any* attributes or methods on it. As ``None`` is *never* going to be ...
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>>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' If the value being returned by :attr:`~Mock.side_effect` is :data:`DEFAULT`, it is ignored and the order of precedence moves to the successor to obtain the value to return.
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>>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' If the value being returned by :attr:`~Mock.side_effect` is :data:`DEFAULT`, it is ignored and the order of precedence moves to the successor to obtain the value to return.
>>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' If the value being returned by :attr:`~Mock.side_effect` is :data:`DEFAULT`, it is ignored and the order of precedence moves to the successor to obtain the value to return.
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mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, 3) >>> mock.side_effect = [5, 4, 3, 2, 1] >>> mock(), mock(), mock() (5, 4, 3) Mock has many other ways you can configure it and control its behaviour. For example the *spec* argument configures the mock to take its specification from another obj...
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mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, 3) >>> mock.side_effect = [5, 4, 3, 2, 1] >>> mock(), mock(), mock() (5, 4, 3) Mock has many other ways you can configure it and control its behaviour. For example the *spec* argument configures the mock to take its specification from another obj...
mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, 3) >>> mock.side_effect = [5, 4, 3, 2, 1] >>> mock(), mock(), mock() (5, 4, 3) Mock has many other ways you can configure it and control its behaviour. For example the *spec* argument configures the mock to take its specification from another obj...
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is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pass :func:`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* w...
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is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pass :func:`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* w...
is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pass :func:`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* w...
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valid to pass in directly as keyword arguments, but a dictionary with these as keys can still be expanded into a :func:`patch` call using ``**``:: >>> config = {'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.met...
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valid to pass in directly as keyword arguments, but a dictionary with these as keys can still be expanded into a :func:`patch` call using ``**``:: >>> config = {'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.met...
valid to pass in directly as keyword arguments, but a dictionary with these as keys can still be expanded into a :func:`patch` call using ``**``:: >>> config = {'method.return_value': 3, 'other.side_effect': KeyError} >>> patcher = patch('__main__.thing', **config) >>> mock_thing = patcher.start() >>> mock_thing.met...
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patch builtins ~~~~~~~~~~~~~~ You can patch any builtins within a module. The following example patches builtin :func:`ord`:: >>> @patch('__main__.ord') ... def test(mock_ord): ... mock_ord.return_value = 101 ... print(ord('c')) ... >>> test() 101
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patch builtins ~~~~~~~~~~~~~~ You can patch any builtins within a module. The following example patches builtin :func:`ord`:: >>> @patch('__main__.ord') ... def test(mock_ord): ... mock_ord.return_value = 101 ... print(ord('c')) ... >>> test() 101
patch builtins ~~~~~~~~~~~~~~ You can patch any builtins within a module. The following example patches builtin :func:`ord`:: >>> @patch('__main__.ord') ... def test(mock_ord): ... mock_ord.return_value = 101 ... print(ord('c')) ... >>> test() 101
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of some other type, autospec doesn't use a spec for members that are set to ``None``. These will just be ordinary mocks (well - MagicMocks): >>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'>
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of some other type, autospec doesn't use a spec for members that are set to ``None``. These will just be ordinary mocks (well - MagicMocks): >>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'>
of some other type, autospec doesn't use a spec for members that are set to ``None``. These will just be ordinary mocks (well - MagicMocks): >>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'>
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patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access, like the `django settings object <https://web.archive.org/web/20200603181648/http://www.voidspace.org.uk/python/weblog/arch_d7_2010_12_04.shtml#e1198>`_. MagicMock and magic method support ---------------...
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patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access, like the `django settings object <https://web.archive.org/web/20200603181648/http://www.voidspace.org.uk/python/weblog/arch_d7_2010_12_04.shtml#e1198>`_. MagicMock and magic method support ---------------...
patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access, like the `django settings object <https://web.archive.org/web/20200603181648/http://www.voidspace.org.uk/python/weblog/arch_d7_2010_12_04.shtml#e1198>`_. MagicMock and magic method support ---------------...
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>>> mock.header_items() <mock.Mock object at 0x...> >>> mock.header_items.assret_called_with() # Intentional typo! Auto-speccing solves this problem. You can either pass ``autospec=True`` to :func:`patch` / :func:`patch.object` or use the :func:`create_autospec` function to create a mock with a spec. If you use the ``a...
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>>> mock.header_items() <mock.Mock object at 0x...> >>> mock.header_items.assret_called_with() # Intentional typo! Auto-speccing solves this problem. You can either pass ``autospec=True`` to :func:`patch` / :func:`patch.object` or use the :func:`create_autospec` function to create a mock with a spec. If you use the ``a...
>>> mock.header_items() <mock.Mock object at 0x...> >>> mock.header_items.assret_called_with() # Intentional typo! Auto-speccing solves this problem. You can either pass ``autospec=True`` to :func:`patch` / :func:`patch.object` or use the :func:`create_autospec` function to create a mock with a spec. If you use the ``a...
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that start with ``patch.TEST_PREFIX``. By default this is ``'test'``, which matches the way :mod:`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 wit...
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that start with ``patch.TEST_PREFIX``. By default this is ``'test'``, which matches the way :mod:`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 wit...
that start with ``patch.TEST_PREFIX``. By default this is ``'test'``, which matches the way :mod:`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 wit...
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arguments *spec*, *spec_set*, *create*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. These arguments will be applied to *all* patches done by :func:`patch.multiple`. When used as a class decorator :func:`patch.multiple` honours ``patch.TEST_PREFIX`` for choosing which methods to wrap.
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arguments *spec*, *spec_set*, *create*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. These arguments will be applied to *all* patches done by :func:`patch.multiple`. When used as a class decorator :func:`patch.multiple` honours ``patch.TEST_PREFIX`` for choosing which methods to wrap.
arguments *spec*, *spec_set*, *create*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. These arguments will be applied to *all* patches done by :func:`patch.multiple`. When used as a class decorator :func:`patch.multiple` honours ``patch.TEST_PREFIX`` for choosing which methods to wrap.
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the Python protocol methods, also known as :term:`"magic methods" <magic method>`. This allows mock objects to replace containers or other objects that implement Python protocols. Because magic methods are looked up differently from normal methods [#]_, this support has been specially implemented. This means that only ...
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the Python protocol methods, also known as :term:`"magic methods" <magic method>`. This allows mock objects to replace containers or other objects that implement Python protocols. Because magic methods are looked up differently from normal methods [#]_, this support has been specially implemented. This means that only ...
the Python protocol methods, also known as :term:`"magic methods" <magic method>`. This allows mock objects to replace containers or other objects that implement Python protocols. Because magic methods are looked up differently from normal methods [#]_, this support has been specially implemented. This means that only ...
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This can either be a function to be called when the mock is called, an iterable or an exception (class or instance) to be raised. If you pass in a function it will be called with same arguments as the mock and unless the function returns the :data:`DEFAULT` singleton the call to the mock will then return whatever the...
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This can either be a function to be called when the mock is called, an iterable or an exception (class or instance) to be raised. If you pass in a function it will be called with same arguments as the mock and unless the function returns the :data:`DEFAULT` singleton the call to the mock will then return whatever the...
This can either be a function to be called when the mock is called, an iterable or an exception (class or instance) to be raised. If you pass in a function it will be called with same arguments as the mock and unless the function returns the :data:`DEFAULT` singleton the call to the mock will then return whatever the...
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object to have a "name" attribute you can't just pass it in at creation time. There are two alternatives. One option is to use :meth:`~Mock.configure_mock`:: >>> mock = MagicMock() >>> mock.configure_mock(name='my_name') >>> mock.name 'my_name'
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object to have a "name" attribute you can't just pass it in at creation time. There are two alternatives. One option is to use :meth:`~Mock.configure_mock`:: >>> mock = MagicMock() >>> mock.configure_mock(name='my_name') >>> mock.name 'my_name'
object to have a "name" attribute you can't just pass it in at creation time. There are two alternatives. One option is to use :meth:`~Mock.configure_mock`:: >>> mock = MagicMock() >>> mock.configure_mock(name='my_name') >>> mock.name 'my_name'
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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 :exc:`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.
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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 :exc:`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.
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 :exc:`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.
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If *any_order* is false 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 :attr:`mock_calls`.
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If *any_order* is false 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 :attr:`mock_calls`.
If *any_order* is false 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 :attr:`mock_calls`.
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:attr:`side_effect` can be set in the constructor. Here's an example that adds one to the value the mock is called with and returns it: >>> side_effect = lambda value: value + 1 >>> mock = Mock(side_effect=side_effect) >>> mock(3) 4 >>> mock(-8) -7
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:attr:`side_effect` can be set in the constructor. Here's an example that adds one to the value the mock is called with and returns it: >>> side_effect = lambda value: value + 1 >>> mock = Mock(side_effect=side_effect) >>> mock(3) 4 >>> mock(-8) -7
:attr:`side_effect` can be set in the constructor. Here's an example that adds one to the value the mock is called with and returns it: >>> side_effect = lambda value: value + 1 >>> mock = Mock(side_effect=side_effect) >>> mock(3) 4 >>> mock(-8) -7
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1. :attr:`~Mock.side_effect` 2. :attr:`~Mock.return_value` 3. *wraps* If all three are set, mock will return the value from :attr:`~Mock.side_effect`, ignoring :attr:`~Mock.return_value` and the wrapped object altogether. If any two are set, the one with the higher precedence will return the value. Regardless of the or...
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1. :attr:`~Mock.side_effect` 2. :attr:`~Mock.return_value` 3. *wraps* If all three are set, mock will return the value from :attr:`~Mock.side_effect`, ignoring :attr:`~Mock.return_value` and the wrapped object altogether. If any two are set, the one with the higher precedence will return the value. Regardless of the or...
1. :attr:`~Mock.side_effect` 2. :attr:`~Mock.return_value` 3. *wraps* If all three are set, mock will return the value from :attr:`~Mock.side_effect`, ignoring :attr:`~Mock.return_value` and the wrapped object altogether. If any two are set, the one with the higher precedence will return the value. Regardless of the or...
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An example of a mock that raises an exception (to test exception handling of an API): >>> mock = Mock() >>> mock.side_effect = Exception('Boom!') >>> mock() Traceback (most recent call last): ... Exception: Boom!
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An example of a mock that raises an exception (to test exception handling of an API): >>> mock = Mock() >>> mock.side_effect = Exception('Boom!') >>> mock() Traceback (most recent call last): ... Exception: Boom!
An example of a mock that raises an exception (to test exception handling of an API): >>> mock = Mock() >>> mock.side_effect = Exception('Boom!') >>> mock() Traceback (most recent call last): ... Exception: Boom!
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is mock1 ... assert SomeClass.class_method is mock2 ... SomeClass.static_method('foo') ... SomeClass.class_method('bar') ... return mock1, mock2 ... >>> mock1, mock2 = test() >>> mock1.assert_called_once_with('foo') >>> mock2.assert_called_once_with('bar') Note that the decorators are applied from the bottom upwards. T...
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is mock1 ... assert SomeClass.class_method is mock2 ... SomeClass.static_method('foo') ... SomeClass.class_method('bar') ... return mock1, mock2 ... >>> mock1, mock2 = test() >>> mock1.assert_called_once_with('foo') >>> mock2.assert_called_once_with('bar') Note that the decorators are applied from the bottom upwards. T...
is mock1 ... assert SomeClass.class_method is mock2 ... SomeClass.static_method('foo') ... SomeClass.class_method('bar') ... return mock1, mock2 ... >>> mock1, mock2 = test() >>> mock1.assert_called_once_with('foo') >>> mock2.assert_called_once_with('bar') Note that the decorators are applied from the bottom upwards. T...
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>>> @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(thing, other): ... assert isinstance(thing, MagicMock) ... assert isinstance(other, MagicMock) ... >>> test_function() :func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any...
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>>> @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(thing, other): ... assert isinstance(thing, MagicMock) ... assert isinstance(other, MagicMock) ... >>> test_function() :func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any...
>>> @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(thing, other): ... assert isinstance(thing, MagicMock) ... assert isinstance(other, MagicMock) ... >>> test_function() :func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any...
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return_value='fishy') >>> mock_function(1, 2, 3) 'fishy' >>> mock_function.assert_called_once_with(1, 2, 3) >>> mock_function('wrong arguments') Traceback (most recent call last): ... TypeError: missing a required argument: 'b' :func:`create_autospec` can also be used on classes, where it copies the signature of the ``...
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return_value='fishy') >>> mock_function(1, 2, 3) 'fishy' >>> mock_function.assert_called_once_with(1, 2, 3) >>> mock_function('wrong arguments') Traceback (most recent call last): ... TypeError: missing a required argument: 'b' :func:`create_autospec` can also be used on classes, where it copies the signature of the ``...
return_value='fishy') >>> mock_function(1, 2, 3) 'fishy' >>> mock_function.assert_called_once_with(1, 2, 3) >>> mock_function('wrong arguments') Traceback (most recent call last): ... TypeError: missing a required argument: 'b' :func:`create_autospec` can also be used on classes, where it copies the signature of the ``...
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* ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``__setstate__`` * ``__getformat__`` .. [#] Magic methods *should* be looked up on t...
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* ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``__setstate__`` * ``__getformat__`` .. [#] Magic methods *should* be looked up on t...
* ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``__setstate__`` * ``__getformat__`` .. [#] Magic methods *should* be looked up on t...
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>>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration If any members of the iterable are exceptions they will be raised instead of returned::
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>>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration If any members of the iterable are exceptions they will be raised instead of returned::
>>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration If any members of the iterable are exceptions they will be raised instead of returned::
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or callable object, that will be called to create the *new* object. By default :class:`AsyncMock` is used for async functions and :class:`MagicMock` for the rest. A more powerful form of *spec* is *autospec*. If you set ``autospec=True`` then the mock will be created with a spec from the object being replaced. All att...
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or callable object, that will be called to create the *new* object. By default :class:`AsyncMock` is used for async functions and :class:`MagicMock` for the rest. A more powerful form of *spec* is *autospec*. If you set ``autospec=True`` then the mock will be created with a spec from the object being replaced. All att...
or callable object, that will be called to create the *new* object. By default :class:`AsyncMock` is used for async functions and :class:`MagicMock` for the rest. A more powerful form of *spec* is *autospec*. If you set ``autospec=True`` then the mock will be created with a spec from the object being replaced. All att...
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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. :func:`create_autospec` also takes arbitrary keyword arguments that are passed to the constructor of the created mock.
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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. :func:`create_autospec` also takes arbitrary keyword arguments that are passed to the constructor of the created mock.
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. :func:`create_autospec` also takes arbitrary keyword arguments that are passed to the constructor of the created mock.
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Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :meth:`~Mock.attach_mock` method:: >>> thing1 = object() >>> thing2 = object() >>> parent = MagicMock() >>> with patch('__main__.thing1', return_value=None) as child1: ... with patch('__main...
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Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :meth:`~Mock.attach_mock` method:: >>> thing1 = object() >>> thing2 = object() >>> parent = MagicMock() >>> with patch('__main__.thing1', return_value=None) as child1: ... with patch('__main...
Mocks created for you by :func:`patch` are automatically given names. To attach mocks that have names to a parent you use the :meth:`~Mock.attach_mock` method:: >>> thing1 = object() >>> thing2 = object() >>> parent = MagicMock() >>> with patch('__main__.thing1', return_value=None) as child1: ... with patch('__main...
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The patchers ------------ The patch decorators are used for patching objects only within the scope of the function they decorate. They automatically handle the unpatching for you, even if exceptions are raised. All of these functions can also be used in with statements or as class decorators.
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The patchers ------------ The patch decorators are used for patching objects only within the scope of the function they decorate. They automatically handle the unpatching for you, even if exceptions are raised. All of these functions can also be used in with statements or as class decorators.
The patchers ------------ The patch decorators are used for patching objects only within the scope of the function they decorate. They automatically handle the unpatching for you, even if exceptions are raised. All of these functions can also be used in with statements or as class decorators.
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>>> mock = Mock() >>> mock.__str__ = Mock(return_value='wheeeeee') >>> str(mock) 'wheeeeee' For ensuring that the mock objects in your tests have the same api as the objects they are replacing, you can use :ref:`auto-speccing <auto-speccing>`. Auto-speccing can be done through the *autospec* argument to patch, or the :...
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>>> mock = Mock() >>> mock.__str__ = Mock(return_value='wheeeeee') >>> str(mock) 'wheeeeee' For ensuring that the mock objects in your tests have the same api as the objects they are replacing, you can use :ref:`auto-speccing <auto-speccing>`. Auto-speccing can be done through the *autospec* argument to patch, or the :...
>>> mock = Mock() >>> mock.__str__ = Mock(return_value='wheeeeee') >>> str(mock) 'wheeeeee' For ensuring that the mock objects in your tests have the same api as the objects they are replacing, you can use :ref:`auto-speccing <auto-speccing>`. Auto-speccing can be done through the *autospec* argument to patch, or the :...
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setting non-existent attributes. This is useful if you want to ensure your code only *sets* valid attributes too, but obviously it prevents this particular scenario: >>> with patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): .....
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setting non-existent attributes. This is useful if you want to ensure your code only *sets* valid attributes too, but obviously it prevents this particular scenario: >>> with patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): .....
setting non-existent attributes. This is useful if you want to ensure your code only *sets* valid attributes too, but obviously it prevents this particular scenario: >>> with patch('__main__.Something', autospec=True, spec_set=True): ... thing = Something() ... thing.a = 33 ... Traceback (most recent call last): .....
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>>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish' :func:`patch.dict` can be used with dictionary like objects that aren't actually dictionaries. At the very minimum they must ...
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>>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish' :func:`patch.dict` can be used with dictionary like objects that aren't actually dictionaries. At the very minimum they must ...
>>> mymodule = MagicMock() >>> mymodule.function.return_value = 'fish' >>> with patch.dict('sys.modules', mymodule=mymodule): ... import mymodule ... mymodule.function('some', 'args') ... 'fish' :func:`patch.dict` can be used with dictionary like objects that aren't actually dictionaries. At the very minimum they must ...
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to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part of the mock object. :: >>> mock = Mock() >>> mock.submock.attribute1 = 2 >>> mock.not_submock = mock.Mock(name="sample_name") >>> seal(mock) >>> mock.new_attribute # This will raise AttributeError. >>> mock...
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to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part of the mock object. :: >>> mock = Mock() >>> mock.submock.attribute1 = 2 >>> mock.not_submock = mock.Mock(name="sample_name") >>> seal(mock) >>> mock.new_attribute # This will raise AttributeError. >>> mock...
to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part of the mock object. :: >>> mock = Mock() >>> mock.submock.attribute1 = 2 >>> mock.not_submock = mock.Mock(name="sample_name") >>> seal(mock) >>> mock.new_attribute # This will raise AttributeError. >>> mock...
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If ``None`` (the default) then a :class:`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 :meth:`~io.RawIOBase.read`, :meth:`~io.IOBase.readline`, and :meth:`~io.IOBase.readlines` methods of the file handle to return....
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If ``None`` (the default) then a :class:`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 :meth:`~io.RawIOBase.read`, :meth:`~io.IOBase.readline`, and :meth:`~io.IOBase.readlines` methods of the file handle to return....
If ``None`` (the default) then a :class:`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 :meth:`~io.RawIOBase.read`, :meth:`~io.IOBase.readline`, and :meth:`~io.IOBase.readlines` methods of the file handle to return....
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>>> @patch.object(SomeClass, 'class_method') ... def test(mock_method): ... SomeClass.class_method(3) ... mock_method.assert_called_with(3) ... >>> test() *spec*, *create* and the other arguments to :func:`patch.object` have the same meaning as they do for :func:`patch`.
trusted_official_docs
CPython Docs
>>> @patch.object(SomeClass, 'class_method') ... def test(mock_method): ... SomeClass.class_method(3) ... mock_method.assert_called_with(3) ... >>> test() *spec*, *create* and the other arguments to :func:`patch.object` have the same meaning as they do for :func:`patch`.
>>> @patch.object(SomeClass, 'class_method') ... def test(mock_method): ... SomeClass.class_method(3) ... mock_method.assert_called_with(3) ... >>> test() *spec*, *create* and the other arguments to :func:`patch.object` have the same meaning as they do for :func:`patch`.
python, official-docs, cpython, P0
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CPython Docs
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is formed by calling dir on the object (excluding unsupported magic attributes and methods). Accessing any attribute not in this list will raise an :exc:`AttributeError`. If *spec* is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pa...
trusted_official_docs
CPython Docs
is formed by calling dir on the object (excluding unsupported magic attributes and methods). Accessing any attribute not in this list will raise an :exc:`AttributeError`. If *spec* is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pa...
is formed by calling dir on the object (excluding unsupported magic attributes and methods). Accessing any attribute not in this list will raise an :exc:`AttributeError`. If *spec* is an object (rather than a list of strings) then :attr:`~object.__class__` returns the class of the spec object. This allows mocks to pa...
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Local_Trusted_Corpus
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CPython Docs
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Before I explain how auto-speccing works, here's why it is needed. :class:`Mock` is a very powerful and flexible object, but it suffers from a flaw which is general to mocking. If you refactor some of your code, rename members and so on, any tests for code that is still using the *old api* but uses mocks instead of the...
trusted_official_docs
CPython Docs
Before I explain how auto-speccing works, here's why it is needed. :class:`Mock` is a very powerful and flexible object, but it suffers from a flaw which is general to mocking. If you refactor some of your code, rename members and so on, any tests for code that is still using the *old api* but uses mocks instead of the...
Before I explain how auto-speccing works, here's why it is needed. :class:`Mock` is a very powerful and flexible object, but it suffers from a flaw which is general to mocking. If you refactor some of your code, rename members and so on, any tests for code that is still using the *old api* but uses mocks instead of the...
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Local_Trusted_Corpus
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CPython Docs
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:data:`ANY` can also be used in comparisons with call lists like :attr:`~Mock.mock_calls`: >>> m = MagicMock(return_value=None) >>> m(1) >>> m(1, 2) >>> m(object()) >>> m.mock_calls == [call(1), call(1, 2), ANY] True
trusted_official_docs
CPython Docs
:data:`ANY` can also be used in comparisons with call lists like :attr:`~Mock.mock_calls`: >>> m = MagicMock(return_value=None) >>> m(1) >>> m(1, 2) >>> m(object()) >>> m.mock_calls == [call(1), call(1, 2), ANY] True
:data:`ANY` can also be used in comparisons with call lists like :attr:`~Mock.mock_calls`: >>> m = MagicMock(return_value=None) >>> m(1) >>> m(1, 2) >>> m(object()) >>> m.mock_calls == [call(1), call(1, 2), ANY] True
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CPython Docs
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The default return value is a mock object and you can configure it in the normal way: >>> mock = Mock() >>> mock.return_value.attribute = sentinel.Attribute >>> mock.return_value() <Mock name='mock()()' id='...'> >>> mock.return_value.assert_called_with()
trusted_official_docs
CPython Docs
The default return value is a mock object and you can configure it in the normal way: >>> mock = Mock() >>> mock.return_value.attribute = sentinel.Attribute >>> mock.return_value() <Mock name='mock()()' id='...'> >>> mock.return_value.assert_called_with()
The default return value is a mock object and you can configure it in the normal way: >>> mock = Mock() >>> mock.return_value.attribute = sentinel.Attribute >>> mock.return_value() <Mock name='mock()()' id='...'> >>> mock.return_value.assert_called_with()
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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This module is no longer part of the Python standard library. It was :ref:`removed in Python 3.12 <whatsnew312-removed-imp>` after being deprecated in Python 3.4. The :ref:`removal notice <whatsnew312-removed-imp>` includes guidance for migrating code from :mod:`!imp` to :mod:`importlib`.
trusted_official_docs
CPython Docs
This module is no longer part of the Python standard library. It was :ref:`removed in Python 3.12 <whatsnew312-removed-imp>` after being deprecated in Python 3.4. The :ref:`removal notice <whatsnew312-removed-imp>` includes guidance for migrating code from :mod:`!imp` to :mod:`importlib`.
This module is no longer part of the Python standard library. It was :ref:`removed in Python 3.12 <whatsnew312-removed-imp>` after being deprecated in Python 3.4. The :ref:`removal notice <whatsnew312-removed-imp>` includes guidance for migrating code from :mod:`!imp` to :mod:`importlib`.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/audioop.rst
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part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!audioop` module was `Python 3.12 <https://docs.python.org/3.12/library/audioop.html>`_.
trusted_official_docs
CPython Docs
part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!audioop` module was `Python 3.12 <https://docs.python.org/3.12/library/audioop.html>`_.
part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!audioop` module was `Python 3.12 <https://docs.python.org/3.12/library/audioop.html>`_.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/concurrent.interpreters.rst
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only the main thread, has some extra runtime state, in addition to the current interpreter, related to the current exception and the bytecode eval loop.) The concept and functionality of the interpreter have been a part of Python since version 2.2, but the feature was only available through the C-API and not well known...
trusted_official_docs
CPython Docs
only the main thread, has some extra runtime state, in addition to the current interpreter, related to the current exception and the bytecode eval loop.) The concept and functionality of the interpreter have been a part of Python since version 2.2, but the feature was only available through the C-API and not well known...
only the main thread, has some extra runtime state, in addition to the current interpreter, related to the current exception and the bytecode eval loop.) The concept and functionality of the interpreter have been a part of Python since version 2.2, but the feature was only available through the C-API and not well known...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/concurrent.interpreters.rst
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"subinterpreters") and running things in them. Running mostly involves switching to an interpreter (in the current thread) and calling a function in that execution context. For concurrency, interpreters themselves (and this module) don't provide much more than isolation, which on its own isn't useful. Actual concurrenc...
trusted_official_docs
CPython Docs
"subinterpreters") and running things in them. Running mostly involves switching to an interpreter (in the current thread) and calling a function in that execution context. For concurrency, interpreters themselves (and this module) don't provide much more than isolation, which on its own isn't useful. Actual concurrenc...
"subinterpreters") and running things in them. Running mostly involves switching to an interpreter (in the current thread) and calling a function in that execution context. For concurrency, interpreters themselves (and this module) don't provide much more than isolation, which on its own isn't useful. Actual concurrenc...
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CPython Docs
file://datasets/cpython/Doc/library/concurrent.interpreters.rst
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Before we dive in further, there are a small number of details to keep in mind about using multiple interpreters: * `isolated <interp-isolation_>`_, by default * no implicit threads * not all PyPI packages support use in multiple interpreters yet
trusted_official_docs
CPython Docs
Before we dive in further, there are a small number of details to keep in mind about using multiple interpreters: * `isolated <interp-isolation_>`_, by default * no implicit threads * not all PyPI packages support use in multiple interpreters yet
Before we dive in further, there are a small number of details to keep in mind about using multiple interpreters: * `isolated <interp-isolation_>`_, by default * no implicit threads * not all PyPI packages support use in multiple interpreters yet
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CPython Docs
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At a high level, you can think of the combination of threads and interpreters as threads with opt-in sharing. As a significant bonus, interpreters are sufficiently isolated that they do not share the :term:`GIL`, which means combining threads with multiple interpreters enables full multi-core parallelism. (This has bee...
trusted_official_docs
CPython Docs
At a high level, you can think of the combination of threads and interpreters as threads with opt-in sharing. As a significant bonus, interpreters are sufficiently isolated that they do not share the :term:`GIL`, which means combining threads with multiple interpreters enables full multi-core parallelism. (This has bee...
At a high level, you can think of the combination of threads and interpreters as threads with opt-in sharing. As a significant bonus, interpreters are sufficiently isolated that they do not share the :term:`GIL`, which means combining threads with multiple interpreters enables full multi-core parallelism. (This has bee...
python, official-docs, cpython, P0
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CPython Docs
file://datasets/cpython/Doc/library/concurrent.interpreters.rst
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with :mod:`pickle` when they are passed to another interpreter. Nearly all of the immutable builtin objects are either directly shared or copied efficiently. For example: * :const:`None` * :class:`bool` (:const:`True` and :const:`False`) * :class:`bytes` * :class:`str` * :class:`int` * :class:`float` * :class:`tuple` (...
trusted_official_docs
CPython Docs
with :mod:`pickle` when they are passed to another interpreter. Nearly all of the immutable builtin objects are either directly shared or copied efficiently. For example: * :const:`None` * :class:`bool` (:const:`True` and :const:`False`) * :class:`bytes` * :class:`str` * :class:`int` * :class:`float` * :class:`tuple` (...
with :mod:`pickle` when they are passed to another interpreter. Nearly all of the immutable builtin objects are either directly shared or copied efficiently. For example: * :const:`None` * :class:`bool` (:const:`True` and :const:`False`) * :class:`bytes` * :class:`str` * :class:`int` * :class:`float` * :class:`tuple` (...
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a way to communicate between them. This usually involves some form of message passing, but can even mean sharing data in some carefully managed way. With this in mind, the :mod:`!concurrent.interpreters` module provides a :class:`queue.Queue` implementation, available through :func:`create_queue`.
trusted_official_docs
CPython Docs
a way to communicate between them. This usually involves some form of message passing, but can even mean sharing data in some carefully managed way. With this in mind, the :mod:`!concurrent.interpreters` module provides a :class:`queue.Queue` implementation, available through :func:`create_queue`.
a way to communicate between them. This usually involves some form of message passing, but can even mean sharing data in some carefully managed way. With this in mind, the :mod:`!concurrent.interpreters` module provides a :class:`queue.Queue` implementation, available through :func:`create_queue`.
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CPython Docs
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.. note:: Interpreters in the same process can technically never be strictly isolated from one another since there are few restrictions on memory access within the same process. The Python runtime makes a best effort at isolation but extension modules may easily violate that. Therefore, do not use multiple interpret...
trusted_official_docs
CPython Docs
.. note:: Interpreters in the same process can technically never be strictly isolated from one another since there are few restrictions on memory access within the same process. The Python runtime makes a best effort at isolation but extension modules may easily violate that. Therefore, do not use multiple interpret...
.. note:: Interpreters in the same process can technically never be strictly isolated from one another since there are few restrictions on memory access within the same process. The Python runtime makes a best effort at isolation but extension modules may easily violate that. Therefore, do not use multiple interpret...
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CPython Docs
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Concurrency and Parallelism ^^^^^^^^^^^^^^^^^^^^^^^^^^^ As noted earlier, interpreters do not provide any concurrency on their own. They strictly represent the isolated execution context the runtime will use *in the current thread*. That isolation makes them similar to processes, but they still enjoy in-process efficie...
trusted_official_docs
CPython Docs
Concurrency and Parallelism ^^^^^^^^^^^^^^^^^^^^^^^^^^^ As noted earlier, interpreters do not provide any concurrency on their own. They strictly represent the isolated execution context the runtime will use *in the current thread*. That isolation makes them similar to processes, but they still enjoy in-process efficie...
Concurrency and Parallelism ^^^^^^^^^^^^^^^^^^^^^^^^^^^ As noted earlier, interpreters do not provide any concurrency on their own. They strictly represent the isolated execution context the runtime will use *in the current thread*. That isolation makes them similar to processes, but they still enjoy in-process efficie...
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CPython Docs
file://datasets/cpython/Doc/library/concurrent.interpreters.rst
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Multiple Interpreters and Isolation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ A Python implementation may support using multiple interpreters in the same process. CPython has this support. Each interpreter is effectively isolated from the others (with a limited number of carefully managed process-global exceptions to the rul...
trusted_official_docs
CPython Docs
Multiple Interpreters and Isolation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ A Python implementation may support using multiple interpreters in the same process. CPython has this support. Each interpreter is effectively isolated from the others (with a limited number of carefully managed process-global exceptions to the rul...
Multiple Interpreters and Isolation ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ A Python implementation may support using multiple interpreters in the same process. CPython has this support. Each interpreter is effectively isolated from the others (with a limited number of carefully managed process-global exceptions to the rul...
python, official-docs, cpython, P0
Local_Trusted_Corpus