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d7c5e825-dd15-4f85-a37f-363dde3c294f
CPython Docs
file://datasets/cpython/Doc/library/bisect.rst
unknown
b800042e-7086-4e80-9b2b-8b0b152283a5
26,358
supabase-export-v2
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:py:func:`~bisect.bisect_right` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order. To support inserting records in a table, the *key* function (if any) is applied to *x* for the search step but not for the insertion s...
trusted_official_docs
CPython Docs
:py:func:`~bisect.bisect_right` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order. To support inserting records in a table, the *key* function (if any) is applied to *x* for the search step but not for the insertion s...
:py:func:`~bisect.bisect_right` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order. To support inserting records in a table, the *key* function (if any) is applied to *x* for the search step but not for the insertion s...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/bisect.rst
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b800042e-7086-4e80-9b2b-8b0b152283a5
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supabase-export-v2
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the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting. The module is called :mod:`!bisect` because it uses a basic bisection algorithm to do its work. Unlike other bisection tools that search for a specific valu...
trusted_official_docs
CPython Docs
the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting. The module is called :mod:`!bisect` because it uses a basic bisection algorithm to do its work. Unlike other bisection tools that search for a specific valu...
the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting. The module is called :mod:`!bisect` because it uses a basic bisection algorithm to do its work. Unlike other bisection tools that search for a specific valu...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/bisect.rst
unknown
b800042e-7086-4e80-9b2b-8b0b152283a5
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supabase-export-v2
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x): 'Locate the leftmost value exactly equal to x' i = bisect_left(a, x) if i != len(a) and a[i] == x: return i raise ValueError def find_lt(a, x): 'Find rightmost value less than x' i = bisect_left(a, x) if i: return a[i-1] raise ValueError
trusted_official_docs
CPython Docs
x): 'Locate the leftmost value exactly equal to x' i = bisect_left(a, x) if i != len(a) and a[i] == x: return i raise ValueError def find_lt(a, x): 'Find rightmost value less than x' i = bisect_left(a, x) if i: return a[i-1] raise ValueError
x): 'Locate the leftmost value exactly equal to x' i = bisect_left(a, x) if i != len(a) and a[i] == x: return i raise ValueError def find_lt(a, x): 'Find rightmost value less than x' i = bisect_left(a, x) if i: return a[i-1] raise ValueError
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/bisect.rst
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b800042e-7086-4e80-9b2b-8b0b152283a5
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supabase-export-v2
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Insert *x* in *a* in sorted order. This function first runs :py:func:`~bisect.bisect_left` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order.
trusted_official_docs
CPython Docs
Insert *x* in *a* in sorted order. This function first runs :py:func:`~bisect.bisect_left` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order.
Insert *x* in *a* in sorted order. This function first runs :py:func:`~bisect.bisect_left` to locate an insertion point. Next, it runs the :meth:`~sequence.insert` method on *a* to insert *x* at the appropriate position to maintain sort order.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/bisect.rst
unknown
b800042e-7086-4e80-9b2b-8b0b152283a5
26,333
supabase-export-v2
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-------------- This module provides support for maintaining a list in sorted order without having to sort the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting.
trusted_official_docs
CPython Docs
-------------- This module provides support for maintaining a list in sorted order without having to sort the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting.
-------------- This module provides support for maintaining a list in sorted order without having to sort the list after each insertion. For long lists of items with expensive comparison operations, this can be an improvement over linear searches or frequent resorting.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
unknown
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supabase-export-v2
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or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the functions documented below do not allow to mix a :class:`!bytes` pattern with a :class:`!str` filename, and vice-versa. Finally, note that :func:`functools.lru_cache` with a *maxsize* of 32768 is used to cache the (typed) compiled regex patterns in the fol...
trusted_official_docs
CPython Docs
or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the functions documented below do not allow to mix a :class:`!bytes` pattern with a :class:`!str` filename, and vice-versa. Finally, note that :func:`functools.lru_cache` with a *maxsize* of 32768 is used to cache the (typed) compiled regex patterns in the fol...
or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the functions documented below do not allow to mix a :class:`!bytes` pattern with a :class:`!str` filename, and vice-versa. Finally, note that :func:`functools.lru_cache` with a *maxsize* of 32768 is used to cache the (typed) compiled regex patterns in the fol...
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Local_Trusted_Corpus
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CPython Docs
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.. function:: filter(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that match the pattern string *pat*. It is the same as ``[n for n in names if fnmatch(n, pat)]``, but implemented more efficiently.
trusted_official_docs
CPython Docs
.. function:: filter(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that match the pattern string *pat*. It is the same as ``[n for n in names if fnmatch(n, pat)]``, but implemented more efficiently.
.. function:: filter(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that match the pattern string *pat*. It is the same as ``[n for n in names if fnmatch(n, pat)]``, but implemented more efficiently.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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supabase-export-v2
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.. index:: pair: module; glob Note that the filename separator (``'/'`` on Unix) is *not* special to this module. See module :mod:`glob` for pathname expansion (:mod:`glob` uses :func:`.filter` to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by t...
trusted_official_docs
CPython Docs
.. index:: pair: module; glob Note that the filename separator (``'/'`` on Unix) is *not* special to this module. See module :mod:`glob` for pathname expansion (:mod:`glob` uses :func:`.filter` to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by t...
.. index:: pair: module; glob Note that the filename separator (``'/'`` on Unix) is *not* special to this module. See module :mod:`glob` for pathname expansion (:mod:`glob` uses :func:`.filter` to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by t...
python, official-docs, cpython, P0
Local_Trusted_Corpus
3224ad5d-8bd0-4afb-a486-0e48df428c75
CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
unknown
04dbc6ab-ee20-4f1d-8910-e62fd162afbd
26,393
supabase-export-v2
7b84c33e13411754
shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are: .. index:: single: * (asterisk); in glob-style wildcards single: ? (question mark); in glob-style wildcards single: [] (square brackets); in...
trusted_official_docs
CPython Docs
shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are: .. index:: single: * (asterisk); in glob-style wildcards single: ? (question mark); in glob-style wildcards single: [] (square brackets); in...
shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are: .. index:: single: * (asterisk); in glob-style wildcards single: ? (question mark); in glob-style wildcards single: [] (square brackets); in...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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04dbc6ab-ee20-4f1d-8910-e62fd162afbd
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supabase-export-v2
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? (question mark); in glob-style wildcards single: [] (square brackets); in glob-style wildcards single: ! (exclamation); in glob-style wildcards single: - (minus); in glob-style wildcards +------------+------------------------------------+ | Pattern | Meaning | +============+====================================+ | ``*...
trusted_official_docs
CPython Docs
? (question mark); in glob-style wildcards single: [] (square brackets); in glob-style wildcards single: ! (exclamation); in glob-style wildcards single: - (minus); in glob-style wildcards +------------+------------------------------------+ | Pattern | Meaning | +============+====================================+ | ``*...
? (question mark); in glob-style wildcards single: [] (square brackets); in glob-style wildcards single: ! (exclamation); in glob-style wildcards single: - (minus); in glob-style wildcards +------------+------------------------------------+ | Pattern | Meaning | +============+====================================+ | ``*...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
unknown
04dbc6ab-ee20-4f1d-8910-e62fd162afbd
26,398
supabase-export-v2
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to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by the ``*`` and ``?`` patterns. Unless stated otherwise, "filename string" and "pattern string" either refer to :class:`str` or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the function...
trusted_official_docs
CPython Docs
to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by the ``*`` and ``?`` patterns. Unless stated otherwise, "filename string" and "pattern string" either refer to :class:`str` or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the function...
to match pathname segments). Similarly, filenames starting with a period are not special for this module, and are matched by the ``*`` and ``?`` patterns. Unless stated otherwise, "filename string" and "pattern string" either refer to :class:`str` or ``ISO-8859-1`` encoded :class:`bytes` objects. Note that the function...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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04dbc6ab-ee20-4f1d-8910-e62fd162afbd
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supabase-export-v2
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.. function:: filterfalse(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that do not match the pattern string *pat*. It is the same as ``[n for n in names if not fnmatch(n, pat)]``, but implemented more efficiently.
trusted_official_docs
CPython Docs
.. function:: filterfalse(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that do not match the pattern string *pat*. It is the same as ``[n for n in names if not fnmatch(n, pat)]``, but implemented more efficiently.
.. function:: filterfalse(names, pat) Construct a list from those elements of the :term:`iterable` of filename strings *names* that do not match the pattern string *pat*. It is the same as ``[n for n in names if not fnmatch(n, pat)]``, but implemented more efficiently.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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04dbc6ab-ee20-4f1d-8910-e62fd162afbd
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supabase-export-v2
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``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard for the operating system. This example will print all file names in the current directory with the extension ``.txt``::
trusted_official_docs
CPython Docs
``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard for the operating system. This example will print all file names in the current directory with the extension ``.txt``::
``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard for the operating system. This example will print all file names in the current directory with the extension ``.txt``::
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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single character | +------------+------------------------------------+ | ``[seq]`` | matches any character in *seq* | +------------+------------------------------------+ | ``[!seq]`` | matches any character not in *seq* | +------------+------------------------------------+ For a literal match, wrap the meta-characters ...
trusted_official_docs
CPython Docs
single character | +------------+------------------------------------+ | ``[seq]`` | matches any character in *seq* | +------------+------------------------------------+ | ``[!seq]`` | matches any character not in *seq* | +------------+------------------------------------+ For a literal match, wrap the meta-characters ...
single character | +------------+------------------------------------+ | ``[seq]`` | matches any character in *seq* | +------------+------------------------------------+ | ``[!seq]`` | matches any character not in *seq* | +------------+------------------------------------+ For a literal match, wrap the meta-characters ...
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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supabase-export-v2
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-------------- This module provides support for Unix shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are:
trusted_official_docs
CPython Docs
-------------- This module provides support for Unix shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are:
-------------- This module provides support for Unix shell-style wildcards, which are *not* the same as regular expressions (which are documented in the :mod:`re` module). The special characters used in shell-style wildcards are:
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/fnmatch.rst
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supabase-export-v2
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.. function:: fnmatch(name, pat) Test whether the filename string *name* matches the pattern string *pat*, returning ``True`` or ``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard...
trusted_official_docs
CPython Docs
.. function:: fnmatch(name, pat) Test whether the filename string *name* matches the pattern string *pat*, returning ``True`` or ``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard...
.. function:: fnmatch(name, pat) Test whether the filename string *name* matches the pattern string *pat*, returning ``True`` or ``False``. Both parameters are case-normalized using :func:`os.path.normcase`. :func:`fnmatchcase` can be used to perform a case-sensitive comparison, regardless of whether that's standard...
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CPython Docs
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The following modules have specific security considerations: * :mod:`base64`: :ref:`base64 security considerations <base64-security>` in :rfc:`4648` * :mod:`hashlib`: :ref:`all constructors take a "usedforsecurity" keyword-only argument disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mo...
trusted_official_docs
CPython Docs
The following modules have specific security considerations: * :mod:`base64`: :ref:`base64 security considerations <base64-security>` in :rfc:`4648` * :mod:`hashlib`: :ref:`all constructors take a "usedforsecurity" keyword-only argument disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mo...
The following modules have specific security considerations: * :mod:`base64`: :ref:`base64 security considerations <base64-security>` in :rfc:`4648` * :mod:`hashlib`: :ref:`all constructors take a "usedforsecurity" keyword-only argument disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mo...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/security_warnings.rst
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deprecated due to vulnerability to race conditions <tempfile-mktemp-deprecated>` * :mod:`xml`: :ref:`XML security <xml-security>` * :mod:`zipfile`: :ref:`maliciously prepared .zip files can cause disk volume exhaustion <zipfile-resources-limitations>` The :option:`-I` command line option can be used to run Python in is...
trusted_official_docs
CPython Docs
deprecated due to vulnerability to race conditions <tempfile-mktemp-deprecated>` * :mod:`xml`: :ref:`XML security <xml-security>` * :mod:`zipfile`: :ref:`maliciously prepared .zip files can cause disk volume exhaustion <zipfile-resources-limitations>` The :option:`-I` command line option can be used to run Python in is...
deprecated due to vulnerability to race conditions <tempfile-mktemp-deprecated>` * :mod:`xml`: :ref:`XML security <xml-security>` * :mod:`zipfile`: :ref:`maliciously prepared .zip files can cause disk volume exhaustion <zipfile-resources-limitations>` The :option:`-I` command line option can be used to run Python in is...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/security_warnings.rst
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disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mod:`http.server` is not suitable for production use, only implementing basic security checks. See the :ref:`security considerations <http.server-security>`. * :mod:`logging`: :ref:`Logging configuration uses eval() <logging-eval-security>` ...
trusted_official_docs
CPython Docs
disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mod:`http.server` is not suitable for production use, only implementing basic security checks. See the :ref:`security considerations <http.server-security>`. * :mod:`logging`: :ref:`Logging configuration uses eval() <logging-eval-security>` ...
disabling known insecure and blocked algorithms <hashlib-usedforsecurity>` * :mod:`http.server` is not suitable for production use, only implementing basic security checks. See the :ref:`security considerations <http.server-security>`. * :mod:`logging`: :ref:`Logging configuration uses eval() <logging-eval-security>` ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock.rst
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The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way: >>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result'
trusted_official_docs
CPython Docs
The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way: >>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result'
The magic methods are setup with :class:`MagicMock` objects, so you can configure them and use them in the usual way: >>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result'
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock.rst
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.. function:: seal(mock) Seal will disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively.
trusted_official_docs
CPython Docs
.. function:: seal(mock) Seal will disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively.
.. function:: seal(mock) Seal will disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively.
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock.rst
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TEST_PREFIX ~~~~~~~~~~~ All of the patchers can be used as class decorators. When used in this way they wrap every test method on the class. 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.
trusted_official_docs
CPython Docs
TEST_PREFIX ~~~~~~~~~~~ All of the patchers can be used as class decorators. When used in this way they wrap every test method on the class. 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.
TEST_PREFIX ~~~~~~~~~~~ All of the patchers can be used as class decorators. When used in this way they wrap every test method on the class. 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.
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instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value* to be anything you want. To configure return values on methods of *instances* on the patched class you must do this on the :attr:`~Mock.return_value`. For example::
trusted_official_docs
CPython Docs
instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value* to be anything you want. To configure return values on methods of *instances* on the patched class you must do this on the :attr:`~Mock.return_value`. For example::
instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value* to be anything you want. To configure return values on methods of *instances* on the patched class you must do this on the :attr:`~Mock.return_value`. For example::
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Mock names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Since "name" is an argument to the :class:`Mock` constructor, if you want your mock 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`::
trusted_official_docs
CPython Docs
Mock names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Since "name" is an argument to the :class:`Mock` constructor, if you want your mock 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 names and the name attribute ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Since "name" is an argument to the :class:`Mock` constructor, if you want your mock 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`::
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to it, this will not be ignored as it is an explicit assignment. So, the order of precedence will not move to the wrapped object. >>> order_mock.get_value.return_value = None >>> order_mock.get_value() is None True
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to it, this will not be ignored as it is an explicit assignment. So, the order of precedence will not move to the wrapped object. >>> order_mock.get_value.return_value = None >>> order_mock.get_value() is None True
to it, this will not be ignored as it is an explicit assignment. So, the order of precedence will not move to the wrapped object. >>> order_mock.get_value.return_value = None >>> order_mock.get_value() is None True
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>>> mock = MagicMock() >>> int(mock) 1 >>> len(mock) 0 >>> list(mock) [] >>> object() in mock False The two equality methods, :meth:`!__eq__` and :meth:`!__ne__`, are special. They do the default equality comparison on identity, using the :attr:`~Mock.side_effect` attribute, unless you change their return value to retu...
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>>> mock = MagicMock() >>> int(mock) 1 >>> len(mock) 0 >>> list(mock) [] >>> object() in mock False The two equality methods, :meth:`!__eq__` and :meth:`!__ne__`, are special. They do the default equality comparison on identity, using the :attr:`~Mock.side_effect` attribute, unless you change their return value to retu...
>>> mock = MagicMock() >>> int(mock) 1 >>> len(mock) 0 >>> list(mock) [] >>> object() in mock False The two equality methods, :meth:`!__eq__` and :meth:`!__ne__`, are special. They do the default equality comparison on identity, using the :attr:`~Mock.side_effect` attribute, unless you change their return value to retu...
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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. >>> from unittest.mock import DEFAULT >>> order_mock.get_value.side_effect = [DEFAULT] >>> order_mock.get_value() 'second'
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CPython Docs
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. >>> from unittest.mock import DEFAULT >>> order_mock.get_value.side_effect = [DEFAULT] >>> order_mock.get_value() 'second'
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. >>> from unittest.mock import DEFAULT >>> order_mock.get_value.side_effect = [DEFAULT] >>> order_mock.get_value() 'second'
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**{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' >>> order_mock.get_value.return_value = DEFAULT >>> order_mock.get_value() 'third' If :attr:`~Mock.side_effect` is e...
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**{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' >>> order_mock.get_value.return_value = DEFAULT >>> order_mock.get_value() 'third' If :attr:`~Mock.side_effect` is e...
**{"get_value.side_effect": ["first"], ... "get_value.return_value": "second"} ... ) ... >>> order_mock.get_value() 'first' >>> order_mock.get_value.side_effect = None >>> order_mock.get_value() 'second' >>> order_mock.get_value.return_value = DEFAULT >>> order_mock.get_value() 'third' If :attr:`~Mock.side_effect` is e...
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The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator: >>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c']
trusted_official_docs
CPython Docs
The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator: >>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c']
The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator: >>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c']
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:func:`patch` as function decorator, creating the mock for you and passing it into the decorated function:: >>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True
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:func:`patch` as function decorator, creating the mock for you and passing it into the decorated function:: >>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True
:func:`patch` as function decorator, creating the mock for you and passing it into the decorated function:: >>> @patch('__main__.SomeClass') ... def function(normal_argument, mock_class): ... print(mock_class is SomeClass) ... >>> function(None) True
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= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError :meth:`configure_mock` exists to make it easier to do configuration after the mock has been cre...
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= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError :meth:`configure_mock` exists to make it easier to do configuration after the mock has been cre...
= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError :meth:`configure_mock` exists to make it easier to do configuration after the mock has been cre...
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of :class:`MagicMock`. The :class:`AsyncMock` object will behave so the object is recognized as an async function, and the result of a call is an awaitable. >>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True
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of :class:`MagicMock`. The :class:`AsyncMock` object will behave so the object is recognized as an async function, and the result of a call is an awaitable. >>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True
of :class:`MagicMock`. The :class:`AsyncMock` object will behave so the object is recognized as an async function, and the result of a call is an awaitable. >>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True
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be any iterable object. Repeated calls to the mock will return values from the iterable (until the iterable is exhausted and a :exc:`StopIteration` is raised): >>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration
trusted_official_docs
CPython Docs
be any iterable object. Repeated calls to the mock will return values from the iterable (until the iterable is exhausted and a :exc:`StopIteration` is raised): >>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration
be any iterable object. Repeated calls to the mock will return values from the iterable (until the iterable is exhausted and a :exc:`StopIteration` is raised): >>> m = MagicMock(side_effect=[1, 2, 3]) >>> m() 1 >>> m() 2 >>> m() 3 >>> m() Traceback (most recent call last): ... StopIteration
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>>> with patch.object(ProductionClass, 'method', return_value=None) as mock_method: ... thing = ProductionClass() ... thing.method(1, 2, 3) ... >>> mock_method.assert_called_once_with(1, 2, 3) There is also :func:`patch.dict` for setting values in a dictionary just during a scope and restoring the dictionary to its ori...
trusted_official_docs
CPython Docs
>>> with patch.object(ProductionClass, 'method', return_value=None) as mock_method: ... thing = ProductionClass() ... thing.method(1, 2, 3) ... >>> mock_method.assert_called_once_with(1, 2, 3) There is also :func:`patch.dict` for setting values in a dictionary just during a scope and restoring the dictionary to its ori...
>>> with patch.object(ProductionClass, 'method', return_value=None) as mock_method: ... thing = ProductionClass() ... thing.method(1, 2, 3) ... >>> mock_method.assert_called_once_with(1, 2, 3) There is also :func:`patch.dict` for setting values in a dictionary just during a scope and restoring the dictionary to its ori...
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b.py -> from a import SomeClass -> some_function instantiates SomeClass Now we want to test ``some_function`` but we want to mock out ``SomeClass`` using :func:`patch`. The problem is that when we import module b, which we will have to do when it imports ``SomeClass`` from module a. If we use :func:`patch` to mock out ...
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CPython Docs
b.py -> from a import SomeClass -> some_function instantiates SomeClass Now we want to test ``some_function`` but we want to mock out ``SomeClass`` using :func:`patch`. The problem is that when we import module b, which we will have to do when it imports ``SomeClass`` from module a. If we use :func:`patch` to mock out ...
b.py -> from a import SomeClass -> some_function instantiates SomeClass Now we want to test ``some_function`` but we want to mock out ``SomeClass`` using :func:`patch`. The problem is that when we import module b, which we will have to do when it imports ``SomeClass`` from module a. If we use :func:`patch` to mock out ...
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interested in to a function or a mock instance. If you are using a function then it *must* take ``self`` as the first argument [#]_. >>> def __str__(self): ... return 'fooble' ... >>> mock = Mock() >>> mock.__str__ = __str__ >>> str(mock) 'fooble'
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interested in to a function or a mock instance. If you are using a function then it *must* take ``self`` as the first argument [#]_. >>> def __str__(self): ... return 'fooble' ... >>> mock = Mock() >>> mock.__str__ = __str__ >>> str(mock) 'fooble'
interested in to a function or a mock instance. If you are using a function then it *must* take ``self`` as the first argument [#]_. >>> def __str__(self): ... return 'fooble' ... >>> mock = Mock() >>> mock.__str__ = __str__ >>> str(mock) 'fooble'
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>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value"] >>> order_mock.get_value.return_value = "second" >>> order_mock.get_value() 'first side effect value' >>> order_mock.get_value() 'another side effect value'
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CPython Docs
>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value"] >>> order_mock.get_value.return_value = "second" >>> order_mock.get_value() 'first side effect value' >>> order_mock.get_value() 'another side effect value'
>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.get_value.side_effect = ["first side effect value", ... "another side effect value"] >>> order_mock.get_value.return_value = "second" >>> order_mock.get_value() 'first side effect value' >>> order_mock.get_value() 'another side effect value'
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attaching mocks to a parent that records all calls to the children and allows you to make assertions about the order of calls between mocks: >>> parent = MagicMock() >>> child1 = MagicMock(return_value=None) >>> child2 = MagicMock(return_value=None) >>> parent.child1 = child1 >>> parent.child2 = child2 >>> child1(...
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CPython Docs
attaching mocks to a parent that records all calls to the children and allows you to make assertions about the order of calls between mocks: >>> parent = MagicMock() >>> child1 = MagicMock(return_value=None) >>> child2 = MagicMock(return_value=None) >>> parent.child1 = child1 >>> parent.child2 = child2 >>> child1(...
attaching mocks to a parent that records all calls to the children and allows you to make assertions about the order of calls between mocks: >>> parent = MagicMock() >>> child1 = MagicMock(return_value=None) >>> child2 = MagicMock(return_value=None) >>> parent.child1 = child1 >>> parent.child2 = child2 >>> child1(...
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>>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True The result of ``mock()`` is an async function which will have the outcome of ``side_effect`` or ``return_value`` after it has been awaited:
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>>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True The result of ``mock()`` is an async function which will have the outcome of ``side_effect`` or ``return_value`` after it has been awaited:
>>> mock = AsyncMock() >>> inspect.iscoroutinefunction(mock) True >>> inspect.isawaitable(mock()) # doctest: +SKIP True The result of ``mock()`` is an async function which will have the outcome of ``side_effect`` or ``return_value`` after it has been awaited:
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as an extra argument to the decorated function. If :func:`patch` is used as a context manager the created mock is returned by the context manager. *target* should be a string in the form ``'package.module.ClassName'``. The *target* is imported and the specified object replaced with the *new* object, so the *target* m...
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as an extra argument to the decorated function. If :func:`patch` is used as a context manager the created mock is returned by the context manager. *target* should be a string in the form ``'package.module.ClassName'``. The *target* is imported and the specified object replaced with the *new* object, so the *target* m...
as an extra argument to the decorated function. If :func:`patch` is used as a context manager the created mock is returned by the context manager. *target* should be a string in the form ``'package.module.ClassName'``. The *target* is imported and the specified object replaced with the *new* object, so the *target* m...
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>>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] If the return value *is* an iterator, then iterating over it once will consume it and subsequent iterations will result in an empty list:
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CPython Docs
>>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] If the return value *is* an iterator, then iterating over it once will consume it and subsequent iterations will result in an empty list:
>>> mock = MagicMock() >>> mock.__iter__.return_value = ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] >>> list(mock) ['a', 'b', 'c'] If the return value *is* an iterator, then iterating over it once will consume it and subsequent iterations will result in an empty list:
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Assert the mock was never called. >>> m = Mock() >>> m.hello.assert_not_called() >>> obj = m.hello() >>> m.hello.assert_not_called() Traceback (most recent call last): ... AssertionError: Expected 'hello' to not have been called. Called 1 times. Calls: [call()].
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CPython Docs
Assert the mock was never called. >>> m = Mock() >>> m.hello.assert_not_called() >>> obj = m.hello() >>> m.hello.assert_not_called() Traceback (most recent call last): ... AssertionError: Expected 'hello' to not have been called. Called 1 times. Calls: [call()].
Assert the mock was never called. >>> m = Mock() >>> m.hello.assert_not_called() >>> obj = m.hello() >>> m.hello.assert_not_called() Traceback (most recent call last): ... AssertionError: Expected 'hello' to not have been called. Called 1 times. Calls: [call()].
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dandy, but if you don't test how your units are "wired together" there is still lots of room for bugs that tests might have caught. :mod:`!unittest.mock` already provides a feature to help with this, called speccing. If you use a class or instance as the :attr:`!spec` for a mock then you can only access attributes on t...
trusted_official_docs
CPython Docs
dandy, but if you don't test how your units are "wired together" there is still lots of room for bugs that tests might have caught. :mod:`!unittest.mock` already provides a feature to help with this, called speccing. If you use a class or instance as the :attr:`!spec` for a mock then you can only access attributes on t...
dandy, but if you don't test how your units are "wired together" there is still lots of room for bugs that tests might have caught. :mod:`!unittest.mock` already provides a feature to help with this, called speccing. If you use a class or instance as the :attr:`!spec` for a mock then you can only access attributes on t...
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disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively. If a mock instance with a name or a spec is assigned to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part o...
trusted_official_docs
CPython Docs
disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively. If a mock instance with a name or a spec is assigned to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part o...
disable the automatic creation of mocks when accessing an attribute of the mock being sealed or any of its attributes that are already mocks recursively. If a mock instance with a name or a spec is assigned to an attribute it won't be considered in the sealing chain. This allows one to prevent seal from fixing part o...
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CPython Docs
file://datasets/cpython/Doc/library/unittest.mock.rst
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.. function:: create_autospec(spec, spec_set=False, instance=False, **kwargs) Create a mock object using another object as a spec. Attributes on the mock will use the corresponding attribute on the *spec* object as their spec.
trusted_official_docs
CPython Docs
.. function:: create_autospec(spec, spec_set=False, instance=False, **kwargs) Create a mock object using another object as a spec. Attributes on the mock will use the corresponding attribute on the *spec* object as their spec.
.. function:: create_autospec(spec, spec_set=False, instance=False, **kwargs) Create a mock object using another object as a spec. Attributes on the mock will use the corresponding attribute on the *spec* object as their spec.
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>>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result' By default many of the protocol methods are required to return objects of a specific type. These methods are preconfigured with a default return value, so that...
trusted_official_docs
CPython Docs
>>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result' By default many of the protocol methods are required to return objects of a specific type. These methods are preconfigured with a default return value, so that...
>>> mock = MagicMock() >>> mock[3] = 'fish' >>> mock.__setitem__.assert_called_with(3, 'fish') >>> mock.__getitem__.return_value = 'result' >>> mock[2] 'result' By default many of the protocol methods are required to return objects of a specific type. These methods are preconfigured with a default return value, so that...
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*spec_set*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. Like :func:`patch`, :func:`patch.object` takes arbitrary keyword arguments for configuring the mock object it creates. When used as a class decorator :func:`patch.object` honours ``patch.TEST_PREFIX`` for choosing which methods to wr...
trusted_official_docs
CPython Docs
*spec_set*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. Like :func:`patch`, :func:`patch.object` takes arbitrary keyword arguments for configuring the mock object it creates. When used as a class decorator :func:`patch.object` honours ``patch.TEST_PREFIX`` for choosing which methods to wr...
*spec_set*, *autospec* and *new_callable* have the same meaning as for :func:`patch`. Like :func:`patch`, :func:`patch.object` takes arbitrary keyword arguments for configuring the mock object it creates. When used as a class decorator :func:`patch.object` honours ``patch.TEST_PREFIX`` for choosing which methods to wr...
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mocks will be the same type as the parent. Subclasses of Mock may want to override this to customize the way child mocks are made. For non-callable mocks the callable variant will be used (rather than any custom subclass).
trusted_official_docs
CPython Docs
mocks will be the same type as the parent. Subclasses of Mock may want to override this to customize the way child mocks are made. For non-callable mocks the callable variant will be used (rather than any custom subclass).
mocks will be the same type as the parent. Subclasses of Mock may want to override this to customize the way child mocks are made. For non-callable mocks the callable variant will be used (rather than any custom subclass).
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= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError A callable mock which was created with a *spec* (or a *spec_set*) will introspect the specificat...
trusted_official_docs
CPython Docs
= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError A callable mock which was created with a *spec* (or a *spec_set*) will introspect the specificat...
= {'method.return_value': 3, 'other.side_effect': KeyError} >>> mock = Mock(some_attribute='eggs', **attrs) >>> mock.some_attribute 'eggs' >>> mock.method() 3 >>> mock.other() Traceback (most recent call last): ... KeyError A callable mock which was created with a *spec* (or a *spec_set*) will introspect the specificat...
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>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.return_value sentinel.DEFAULT >>> order_mock.get_value.return_value sentinel.DEFAULT The order of precedence will ignore this value and it will move to the last successor which is the wrapped object.
trusted_official_docs
CPython Docs
>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.return_value sentinel.DEFAULT >>> order_mock.get_value.return_value sentinel.DEFAULT The order of precedence will ignore this value and it will move to the last successor which is the wrapped object.
>>> order_mock = Mock(spec=Order, wraps=Order) >>> order_mock.return_value sentinel.DEFAULT >>> order_mock.get_value.return_value sentinel.DEFAULT The order of precedence will ignore this value and it will move to the last successor which is the wrapped object.
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:attr:`!__class__` is assignable to, this allows a mock to pass an :func:`isinstance` check without forcing you to use a spec: >>> mock = Mock() >>> mock.__class__ = dict >>> isinstance(mock, dict) True
trusted_official_docs
CPython Docs
:attr:`!__class__` is assignable to, this allows a mock to pass an :func:`isinstance` check without forcing you to use a spec: >>> mock = Mock() >>> mock.__class__ = dict >>> isinstance(mock, dict) True
:attr:`!__class__` is assignable to, this allows a mock to pass an :func:`isinstance` check without forcing you to use a spec: >>> mock = Mock() >>> mock.__class__ = dict >>> isinstance(mock, dict) True
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the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list. >>> 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(ma...
trusted_official_docs
CPython Docs
the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list. >>> 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(ma...
the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list. >>> 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(ma...
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.. attribute:: call_args_list This is a list of all the calls made to the mock object in sequence (so the length of the list is the number of times it has been called). Before any calls have been made it is an empty list. The :data:`call` object can be used for conveniently constructing lists of calls to compare wi...
trusted_official_docs
CPython Docs
.. attribute:: call_args_list This is a list of all the calls made to the mock object in sequence (so the length of the list is the number of times it has been called). Before any calls have been made it is an empty list. The :data:`call` object can be used for conveniently constructing lists of calls to compare wi...
.. attribute:: call_args_list This is a list of all the calls made to the mock object in sequence (so the length of the list is the number of times it has been called). Before any calls have been made it is an empty list. The :data:`call` object can be used for conveniently constructing lists of calls to compare wi...
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.. attribute:: await_args_list This is a list of all the awaits made to the mock object in sequence (so the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list.
trusted_official_docs
CPython Docs
.. attribute:: await_args_list This is a list of all the awaits made to the mock object in sequence (so the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list.
.. attribute:: await_args_list This is a list of all the awaits made to the mock object in sequence (so the length of the list is the number of times it has been awaited). Before any awaits have been made it is an empty list.
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= {'key': 'value'} >>> original = foo.copy() >>> with patch.dict(foo, {'newkey': 'newvalue'}, clear=True): ... assert foo == {'newkey': 'newvalue'} ... >>> assert foo == original Mock supports the mocking of Python :ref:`magic methods <magic-methods>`. The easiest way of using magic methods is with the :class:`MagicMoc...
trusted_official_docs
CPython Docs
= {'key': 'value'} >>> original = foo.copy() >>> with patch.dict(foo, {'newkey': 'newvalue'}, clear=True): ... assert foo == {'newkey': 'newvalue'} ... >>> assert foo == original Mock supports the mocking of Python :ref:`magic methods <magic-methods>`. The easiest way of using magic methods is with the :class:`MagicMoc...
= {'key': 'value'} >>> original = foo.copy() >>> with patch.dict(foo, {'newkey': 'newvalue'}, clear=True): ... assert foo == {'newkey': 'newvalue'} ... >>> assert foo == original Mock supports the mocking of Python :ref:`magic methods <magic-methods>`. The easiest way of using magic methods is with the :class:`MagicMoc...
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>>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>> patcher.stop() The *new_callable* argument is useful where you want to use an alternative class to the default :class:`MagicMock` for the created...
trusted_official_docs
CPython Docs
>>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>> patcher.stop() The *new_callable* argument is useful where you want to use an alternative class to the default :class:`MagicMock` for the created...
>>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>> patcher.stop() The *new_callable* argument is useful where you want to use an alternative class to the default :class:`MagicMock` for the created...
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:class:`Mock` objects limit the results of ``dir(some_mock)`` to useful results. For mocks with a *spec* this includes all the permitted attributes for the mock. See :data:`FILTER_DIR` for what this filtering does, and how to switch it off.
trusted_official_docs
CPython Docs
:class:`Mock` objects limit the results of ``dir(some_mock)`` to useful results. For mocks with a *spec* this includes all the permitted attributes for the mock. See :data:`FILTER_DIR` for what this filtering does, and how to switch it off.
:class:`Mock` objects limit the results of ``dir(some_mock)`` to useful results. For mocks with a *spec* this includes all the permitted attributes for the mock. See :data:`FILTER_DIR` for what this filtering does, and how to switch it off.
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Assert that the mock was called exactly once. >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() Traceback (most recent call last): ... AssertionError: Expected ...
trusted_official_docs
CPython Docs
Assert that the mock was called exactly once. >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() Traceback (most recent call last): ... AssertionError: Expected ...
Assert that the mock was called exactly once. >>> mock = Mock() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() >>> mock.method() <Mock name='mock.method()' id='...'> >>> mock.method.assert_called_once() Traceback (most recent call last): ... AssertionError: Expected ...
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but either not care about some of the arguments or want to pull them individually out of :attr:`~Mock.call_args` and make more complex assertions on them. To ignore certain arguments you can pass in objects that compare equal to *everything*. Calls to :meth:`~Mock.assert_called_with` and :meth:`~Mock.assert_called_once...
trusted_official_docs
CPython Docs
but either not care about some of the arguments or want to pull them individually out of :attr:`~Mock.call_args` and make more complex assertions on them. To ignore certain arguments you can pass in objects that compare equal to *everything*. Calls to :meth:`~Mock.assert_called_with` and :meth:`~Mock.assert_called_once...
but either not care about some of the arguments or want to pull them individually out of :attr:`~Mock.call_args` and make more complex assertions on them. To ignore certain arguments you can pass in objects that compare equal to *everything*. Calls to :meth:`~Mock.assert_called_with` and :meth:`~Mock.assert_called_once...
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customize this mock for yourself. When that is insufficient, one of the in-memory filesystem packages on `PyPI <https://pypi.org>`_ can offer a realistic filesystem for testing. .. versionchanged:: 3.4 Added :meth:`~io.IOBase.readline` and :meth:`~io.IOBase.readlines` support. The mock of :meth:`~io.RawIOBase.read` ch...
trusted_official_docs
CPython Docs
customize this mock for yourself. When that is insufficient, one of the in-memory filesystem packages on `PyPI <https://pypi.org>`_ can offer a realistic filesystem for testing. .. versionchanged:: 3.4 Added :meth:`~io.IOBase.readline` and :meth:`~io.IOBase.readlines` support. The mock of :meth:`~io.RawIOBase.read` ch...
customize this mock for yourself. When that is insufficient, one of the in-memory filesystem packages on `PyPI <https://pypi.org>`_ can offer a realistic filesystem for testing. .. versionchanged:: 3.4 Added :meth:`~io.IOBase.readline` and :meth:`~io.IOBase.readlines` support. The mock of :meth:`~io.RawIOBase.read` ch...
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support item getting, setting, deleting and either iteration or membership test. This corresponds to the magic methods :meth:`~object.__getitem__`, :meth:`~object.__setitem__`, :meth:`~object.__delitem__` and either :meth:`~container.__iter__` or :meth:`~object.__contains__`. >>> class Container: ... def __init__(self...
trusted_official_docs
CPython Docs
support item getting, setting, deleting and either iteration or membership test. This corresponds to the magic methods :meth:`~object.__getitem__`, :meth:`~object.__setitem__`, :meth:`~object.__delitem__` and either :meth:`~container.__iter__` or :meth:`~object.__contains__`. >>> class Container: ... def __init__(self...
support item getting, setting, deleting and either iteration or membership test. This corresponds to the magic methods :meth:`~object.__getitem__`, :meth:`~object.__setitem__`, :meth:`~object.__delitem__` and either :meth:`~container.__iter__` or :meth:`~object.__contains__`. >>> class Container: ... def __init__(self...
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>>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thing.method.assert_called_with(3, 4, 5, key='value') :attr:`~Mock.side_effect` allows you to perform side effects, including raising an exception when a mock i...
trusted_official_docs
CPython Docs
>>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thing.method.assert_called_with(3, 4, 5, key='value') :attr:`~Mock.side_effect` allows you to perform side effects, including raising an exception when a mock i...
>>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thing.method.assert_called_with(3, 4, 5, key='value') :attr:`~Mock.side_effect` allows you to perform side effects, including raising an exception when a mock i...
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Assert that the mock was called exactly once and that call was with the specified arguments. >>> mock = Mock(return_value=None) >>> mock('foo', bar='baz') >>> mock.assert_called_once_with('foo', bar='baz') >>> mock('other', bar='values') >>> mock.assert_called_once_with('other', bar='values') Traceback (most recen...
trusted_official_docs
CPython Docs
Assert that the mock was called exactly once and that call was with the specified arguments. >>> mock = Mock(return_value=None) >>> mock('foo', bar='baz') >>> mock.assert_called_once_with('foo', bar='baz') >>> mock('other', bar='values') >>> mock.assert_called_once_with('other', bar='values') Traceback (most recen...
Assert that the mock was called exactly once and that call was with the specified arguments. >>> mock = Mock(return_value=None) >>> mock('foo', bar='baz') >>> mock.assert_called_once_with('foo', bar='baz') >>> mock('other', bar='values') >>> mock.assert_called_once_with('other', bar='values') Traceback (most recen...
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A *side_effect* can be cleared by setting it to ``None``. * *return_value*: The value returned when the mock is called. By default this is a new Mock (created on first access). See the :attr:`return_value` attribute.
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CPython Docs
A *side_effect* can be cleared by setting it to ``None``. * *return_value*: The value returned when the mock is called. By default this is a new Mock (created on first access). See the :attr:`return_value` attribute.
A *side_effect* can be cleared by setting it to ``None``. * *return_value*: The value returned when the mock is called. By default this is a new Mock (created on first access). See the :attr:`return_value` attribute.
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you use *spec* or *spec_set* and :func:`patch` is replacing a *class*, then the return value of the created mock will have the same spec. :: >>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>>...
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you use *spec* or *spec_set* and :func:`patch` is replacing a *class*, then the return value of the created mock will have the same spec. :: >>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>>...
you use *spec* or *spec_set* and :func:`patch` is replacing a *class*, then the return value of the created mock will have the same spec. :: >>> Original = Class >>> patcher = patch('__main__.Class', spec=True) >>> MockClass = patcher.start() >>> instance = MockClass() >>> assert isinstance(instance, Original) >>>...
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use :data:`DEFAULT` as the value. If you use :func:`patch.multiple` as a decorator then the created mocks are passed into the decorated function by keyword. :: >>> thing = object() >>> other = object()
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use :data:`DEFAULT` as the value. If you use :func:`patch.multiple` as a decorator then the created mocks are passed into the decorated function by keyword. :: >>> thing = object() >>> other = object()
use :data:`DEFAULT` as the value. If you use :func:`patch.multiple` as a decorator then the created mocks are passed into the decorated function by keyword. :: >>> thing = object() >>> other = object()
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you will just be able to add ``autospec=True`` to your existing :func:`patch` calls and then be protected against bugs due to typos and api changes. As well as using *autospec* through :func:`patch` there is a :func:`create_autospec` for creating autospecced mocks directly:
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you will just be able to add ``autospec=True`` to your existing :func:`patch` calls and then be protected against bugs due to typos and api changes. As well as using *autospec* through :func:`patch` there is a :func:`create_autospec` for creating autospecced mocks directly:
you will just be able to add ``autospec=True`` to your existing :func:`patch` calls and then be protected against bugs due to typos and api changes. As well as using *autospec* through :func:`patch` there is a :func:`create_autospec` for creating autospecced mocks directly:
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of :class:`MagicMock` for multithreading tests. The :class:`ThreadingMock` object provides extra methods to wait for a call to be invoked, rather than assert on it immediately. The default timeout is specified by the ``timeout`` argument, or if unset by the :attr:`ThreadingMock.DEFAULT_TIMEOUT` attribute, which defaul...
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of :class:`MagicMock` for multithreading tests. The :class:`ThreadingMock` object provides extra methods to wait for a call to be invoked, rather than assert on it immediately. The default timeout is specified by the ``timeout`` argument, or if unset by the :attr:`ThreadingMock.DEFAULT_TIMEOUT` attribute, which defaul...
of :class:`MagicMock` for multithreading tests. The :class:`ThreadingMock` object provides extra methods to wait for a call to be invoked, rather than assert on it immediately. The default timeout is specified by the ``timeout`` argument, or if unset by the :attr:`ThreadingMock.DEFAULT_TIMEOUT` attribute, which defaul...
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>>> from urllib import request >>> mock_request = create_autospec(request) >>> mock_request.Request('foo', 'bar') <NonCallableMagicMock name='mock.Request()' spec='Request' id='...'> This isn't without caveats and limitations however, which is why it is not the default behaviour. In order to know what attributes are av...
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>>> from urllib import request >>> mock_request = create_autospec(request) >>> mock_request.Request('foo', 'bar') <NonCallableMagicMock name='mock.Request()' spec='Request' id='...'> This isn't without caveats and limitations however, which is why it is not the default behaviour. In order to know what attributes are av...
>>> from urllib import request >>> mock_request = create_autospec(request) >>> mock_request.Request('foo', 'bar') <NonCallableMagicMock name='mock.Request()' spec='Request' id='...'> This isn't without caveats and limitations however, which is why it is not the default behaviour. In order to know what attributes are av...
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>>> from urllib import request >>> patcher = patch('__main__.request', autospec=True) >>> mock_request = patcher.start() >>> request is mock_request True >>> mock_request.Request <MagicMock name='request.Request' spec='Request' id='...'> You can see that :class:`!request.Request` has a spec. :class:`!request.Request` t...
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>>> from urllib import request >>> patcher = patch('__main__.request', autospec=True) >>> mock_request = patcher.start() >>> request is mock_request True >>> mock_request.Request <MagicMock name='request.Request' spec='Request' id='...'> You can see that :class:`!request.Request` has a spec. :class:`!request.Request` t...
>>> from urllib import request >>> patcher = patch('__main__.request', autospec=True) >>> mock_request = patcher.start() >>> request is mock_request True >>> mock_request.Request <MagicMock name='request.Request' spec='Request' id='...'> You can see that :class:`!request.Request` has a spec. :class:`!request.Request` t...
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accessed) you can use it with very complex or deeply nested objects (like modules that import modules that import modules) without a big performance hit. Here's an example of it in use::
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accessed) you can use it with very complex or deeply nested objects (like modules that import modules that import modules) without a big performance hit. Here's an example of it in use::
accessed) you can use it with very complex or deeply nested objects (like modules that import modules that import modules) without a big performance hit. Here's an example of it in use::
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>>> foo = {} >>> @patch.dict(foo, {'newkey': 'newvalue'}) ... def test(): ... assert foo == {'newkey': 'newvalue'} ... >>> test() >>> assert foo == {} When used as a class decorator :func:`patch.dict` honours ``patch.TEST_PREFIX`` (default to ``'test'``) for choosing which methods to wrap:
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>>> foo = {} >>> @patch.dict(foo, {'newkey': 'newvalue'}) ... def test(): ... assert foo == {'newkey': 'newvalue'} ... >>> test() >>> assert foo == {} When used as a class decorator :func:`patch.dict` honours ``patch.TEST_PREFIX`` (default to ``'test'``) for choosing which methods to wrap:
>>> foo = {} >>> @patch.dict(foo, {'newkey': 'newvalue'}) ... def test(): ... assert foo == {'newkey': 'newvalue'} ... >>> test() >>> assert foo == {} When used as a class decorator :func:`patch.dict` honours ``patch.TEST_PREFIX`` (default to ``'test'``) for choosing which methods to wrap:
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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. .. versionchanged:: 3.7 The ``sentinel`` attributes now preserve their identity when they are :mod:`copied <copy>` or :mod:`pickled <pickle>`.
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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. .. versionchanged:: 3.7 The ``sentinel`` attributes now preserve their identity when they are :mod:`copied <copy>` or :mod:`pickled <pickle>`.
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. .. versionchanged:: 3.7 The ``sentinel`` attributes now preserve their identity when they are :mod:`copied <copy>` or :mod:`pickled <pickle>`.
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used. You can configure them, to specify return values or limit what attributes are available, and then make assertions about how they have been used: >>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thin...
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used. You can configure them, to specify return values or limit what attributes are available, and then make assertions about how they have been used: >>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thin...
used. You can configure them, to specify return values or limit what attributes are available, and then make assertions about how they have been used: >>> from unittest.mock import MagicMock >>> thing = ProductionClass() >>> thing.method = MagicMock(return_value=3) >>> thing.method(3, 4, 5, key='value') 3 >>> thin...
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>>> dir(Mock()) ['assert_any_call', 'assert_called', 'assert_called_once', 'assert_called_once_with', 'assert_called_with', 'assert_has_calls', 'assert_not_called', 'attach_mock', ... >>> from urllib import request >>> dir(Mock(spec=request)) ['AbstractBasicAuthHandler', 'AbstractDigestAuthHandler', 'AbstractHTTPHandle...
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>>> dir(Mock()) ['assert_any_call', 'assert_called', 'assert_called_once', 'assert_called_once_with', 'assert_called_with', 'assert_has_calls', 'assert_not_called', 'attach_mock', ... >>> from urllib import request >>> dir(Mock(spec=request)) ['AbstractBasicAuthHandler', 'AbstractDigestAuthHandler', 'AbstractHTTPHandle...
>>> dir(Mock()) ['assert_any_call', 'assert_called', 'assert_called_once', 'assert_called_once_with', 'assert_called_with', 'assert_has_calls', 'assert_not_called', 'attach_mock', ... >>> from urllib import request >>> dir(Mock(spec=request)) ['AbstractBasicAuthHandler', 'AbstractDigestAuthHandler', 'AbstractHTTPHandle...
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You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`. >>> mock = MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f
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You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`. >>> mock = MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f
You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`. >>> mock = MagicMock() >>> hasattr(mock, 'm') True >>> del mock.m >>> hasattr(mock, 'm') False >>> del mock.f >>> mock.f Traceback (most recent call last): ... AttributeError: f
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mock. *spec* can either be an object or a list of strings. Only attributes on the *spec* can be fetched as attributes from the mock. If *spec_set* is true then only attributes on the spec can be set.
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mock. *spec* can either be an object or a list of strings. Only attributes on the *spec* can be fetched as attributes from the mock. If *spec_set* is true then only attributes on the spec can be set.
mock. *spec* can either be an object or a list of strings. Only attributes on the *spec* can be fetched as attributes from the mock. If *spec_set* is true then only attributes on the spec can be set.
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:class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of the mock that will be used. If the class is instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value...
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:class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of the mock that will be used. If the class is instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value...
:class:`MagicMock` *instance*. If the class is instantiated in the code under test then it will be the :attr:`~Mock.return_value` of the mock that will be used. If the class is instantiated multiple times you could use :attr:`~Mock.side_effect` to return a new mock each time. Alternatively you can set the *return_value...
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Magic methods that are supported but not setup by default in ``MagicMock`` are: * ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``_...
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Magic methods that are supported but not setup by default in ``MagicMock`` are: * ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``_...
Magic methods that are supported but not setup by default in ``MagicMock`` are: * ``__subclasses__`` * ``__dir__`` * ``__format__`` * ``__get__``, ``__set__`` and ``__delete__`` * ``__reversed__`` and ``__missing__`` * ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``, ``__getstate__`` and ``_...
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Assert the mock has ever been awaited with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> asyncio.run(main('hello')) >>> mock.assert_any_await('foo', bar='bar') >>> mock.assert_any_await('other') ...
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Assert the mock has ever been awaited with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> asyncio.run(main('hello')) >>> mock.assert_any_await('foo', bar='bar') >>> mock.assert_any_await('other') ...
Assert the mock has ever been awaited with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> asyncio.run(main('hello')) >>> mock.assert_any_await('foo', bar='bar') >>> mock.assert_any_await('other') ...
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Patching Descriptors and Proxy Objects ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Both patch_ and patch.object_ correctly patch and restore descriptors: class methods, static methods and properties. You should patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access...
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Patching Descriptors and Proxy Objects ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Both patch_ and patch.object_ correctly patch and restore descriptors: class methods, static methods and properties. You should patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access...
Patching Descriptors and Proxy Objects ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Both patch_ and patch.object_ correctly patch and restore descriptors: class methods, static methods and properties. You should patch these on the *class* rather than an instance. They also work with *some* objects that proxy attribute access...
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:exc:`AttributeError` when an attribute is fetched. You can do this by providing an object as a :attr:`!spec` for a mock, but that isn't always convenient. You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`.
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:exc:`AttributeError` when an attribute is fetched. You can do this by providing an object as a :attr:`!spec` for a mock, but that isn't always convenient. You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`.
:exc:`AttributeError` when an attribute is fetched. You can do this by providing an object as a :attr:`!spec` for a mock, but that isn't always convenient. You "block" attributes by deleting them. Once deleted, accessing an attribute will raise an :exc:`AttributeError`.
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*spec*. If used, attempting to *set* or get an attribute on the mock that isn't on the object passed as *spec_set* will raise an :exc:`AttributeError`. * *side_effect*: A function to be called whenever the Mock is called. See the :attr:`~Mock.side_effect` attribute. Useful for raising exceptions or dynamically changi...
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*spec*. If used, attempting to *set* or get an attribute on the mock that isn't on the object passed as *spec_set* will raise an :exc:`AttributeError`. * *side_effect*: A function to be called whenever the Mock is called. See the :attr:`~Mock.side_effect` attribute. Useful for raising exceptions or dynamically changi...
*spec*. If used, attempting to *set* or get an attribute on the mock that isn't on the object passed as *spec_set* will raise an :exc:`AttributeError`. * *side_effect*: A function to be called whenever the Mock is called. See the :attr:`~Mock.side_effect` attribute. Useful for raising exceptions or dynamically changi...
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be done in the call to patch. Any arbitrary keywords you pass into the call will be used to set attributes on the created mock:: >>> patcher = patch('__main__.thing', first='one', second='two') >>> mock_thing = patcher.start() >>> mock_thing.first 'one' >>> mock_thing.second 'two'
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be done in the call to patch. Any arbitrary keywords you pass into the call will be used to set attributes on the created mock:: >>> patcher = patch('__main__.thing', first='one', second='two') >>> mock_thing = patcher.start() >>> mock_thing.first 'one' >>> mock_thing.second 'two'
be done in the call to patch. Any arbitrary keywords you pass into the call will be used to set attributes on the created mock:: >>> patcher = patch('__main__.thing', first='one', second='two') >>> mock_thing = patcher.start() >>> mock_thing.first 'one' >>> mock_thing.second 'two'
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Where to patch ~~~~~~~~~~~~~~ :func:`patch` works by (temporarily) changing the object that a *name* points to with another one. There can be many names pointing to any individual object, so for patching to work you must ensure that you patch the name used by the system under test.
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Where to patch ~~~~~~~~~~~~~~ :func:`patch` works by (temporarily) changing the object that a *name* points to with another one. There can be many names pointing to any individual object, so for patching to work you must ensure that you patch the name used by the system under test.
Where to patch ~~~~~~~~~~~~~~ :func:`patch` works by (temporarily) changing the object that a *name* points to with another one. There can be many names pointing to any individual object, so for patching to work you must ensure that you patch the name used by the system under test.
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the body of the function or with statement, the *target* is patched with a *new* object. When the function/with statement exits the patch is undone. If *new* is omitted, then the target is replaced with an :class:`AsyncMock` if the patched object is an async function or a :class:`MagicMock` otherwise. If :func:`patch...
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the body of the function or with statement, the *target* is patched with a *new* object. When the function/with statement exits the patch is undone. If *new* is omitted, then the target is replaced with an :class:`AsyncMock` if the patched object is an async function or a :class:`MagicMock` otherwise. If :func:`patch...
the body of the function or with statement, the *target* is patched with a *new* object. When the function/with statement exits the patch is undone. If *new* is omitted, then the target is replaced with an :class:`AsyncMock` if the patched object is an async function or a :class:`MagicMock` otherwise. If :func:`patch...
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>>> from unittest.mock import Mock >>> mock = Mock(side_effect=KeyError('foo')) >>> mock() Traceback (most recent call last): ... KeyError: 'foo' >>> values = {'a': 1, 'b': 2, 'c': 3} >>> def side_effect(arg): ... return values[arg] ... >>> mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, ...
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>>> from unittest.mock import Mock >>> mock = Mock(side_effect=KeyError('foo')) >>> mock() Traceback (most recent call last): ... KeyError: 'foo' >>> values = {'a': 1, 'b': 2, 'c': 3} >>> def side_effect(arg): ... return values[arg] ... >>> mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, ...
>>> from unittest.mock import Mock >>> mock = Mock(side_effect=KeyError('foo')) >>> mock() Traceback (most recent call last): ... KeyError: 'foo' >>> values = {'a': 1, 'b': 2, 'c': 3} >>> def side_effect(arg): ... return values[arg] ... >>> mock.side_effect = side_effect >>> mock('a'), mock('b'), mock('c') (1, 2, ...
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below, to only show useful members. If you dislike this filtering, or need to switch it off for diagnostic purposes, then set ``mock.FILTER_DIR = False``. With filtering on, ``dir(some_mock)`` shows only useful attributes and will include any dynamically created attributes that wouldn't normally be shown. If the mock w...
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below, to only show useful members. If you dislike this filtering, or need to switch it off for diagnostic purposes, then set ``mock.FILTER_DIR = False``. With filtering on, ``dir(some_mock)`` shows only useful attributes and will include any dynamically created attributes that wouldn't normally be shown. If the mock w...
below, to only show useful members. If you dislike this filtering, or need to switch it off for diagnostic purposes, then set ``mock.FILTER_DIR = False``. With filtering on, ``dir(some_mock)`` shows only useful attributes and will include any dynamically created attributes that wouldn't normally be shown. If the mock w...
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Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replaced. By default :func:`patch` will fail to replace attributes that don't exist. If you pass in ``create=True``, and the attribute doesn't exist, patch will create the attribute for yo...
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Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replaced. By default :func:`patch` will fail to replace attributes that don't exist. If you pass in ``create=True``, and the attribute doesn't exist, patch will create the attribute for yo...
Instead of ``autospec=True`` you can pass ``autospec=some_object`` to use an arbitrary object as the spec instead of the one being replaced. By default :func:`patch` will fail to replace attributes that don't exist. If you pass in ``create=True``, and the attribute doesn't exist, patch will create the attribute for yo...
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*values* can be a dictionary of values to set in the dictionary. *values* can also be an iterable of ``(key, value)`` pairs. If *clear* is true then the dictionary will be cleared before the new values are set.
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*values* can be a dictionary of values to set in the dictionary. *values* can also be an iterable of ``(key, value)`` pairs. If *clear* is true then the dictionary will be cleared before the new values are set.
*values* can be a dictionary of values to set in the dictionary. *values* can also be an iterable of ``(key, value)`` pairs. If *clear* is true then the dictionary will be cleared before the new values are set.
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Assert that the last await was with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> mock.assert_awaited_with('foo', bar='bar') >>> mock.assert_awaited_with('other') Traceback (most recent call last...
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Assert that the last await was with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> mock.assert_awaited_with('foo', bar='bar') >>> mock.assert_awaited_with('other') Traceback (most recent call last...
Assert that the last await was with the specified arguments. >>> mock = AsyncMock() >>> async def main(*args, **kwargs): ... await mock(*args, **kwargs) ... >>> asyncio.run(main('foo', bar='bar')) >>> mock.assert_awaited_with('foo', bar='bar') >>> mock.assert_awaited_with('other') Traceback (most recent call last...
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>>> MagicMock() == 3 False >>> MagicMock() != 3 True >>> mock = MagicMock() >>> mock.__eq__.return_value = True >>> mock == 3 True The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator:
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>>> MagicMock() == 3 False >>> MagicMock() != 3 True >>> mock = MagicMock() >>> mock.__eq__.return_value = True >>> mock == 3 True The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator:
>>> MagicMock() == 3 False >>> MagicMock() != 3 True >>> mock = MagicMock() >>> mock.__eq__.return_value = True >>> mock == 3 True The return value of :meth:`MagicMock.__iter__` can be any iterable object and isn't required to be an iterator:
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the mock after creation. Just because *autospec* doesn't allow you to fetch attributes that don't exist on the spec it doesn't prevent you setting them:: >>> with patch('__main__.Something', autospec=True): ... thing = Something() ... thing.a = 33 ...
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the mock after creation. Just because *autospec* doesn't allow you to fetch attributes that don't exist on the spec it doesn't prevent you setting them:: >>> with patch('__main__.Something', autospec=True): ... thing = Something() ... thing.a = 33 ...
the mock after creation. Just because *autospec* doesn't allow you to fetch attributes that don't exist on the spec it doesn't prevent you setting them:: >>> with patch('__main__.Something', autospec=True): ... thing = Something() ... thing.a = 33 ...
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you to use an alternative object as the spec. Thankfully :func:`patch` supports this - you can simply pass the alternative object as the *autospec* argument:: >>> class Something: ... def __init__(self): ... self.a = 33 ... >>> class SomethingForTest(Something): ... a = 33 ... >>> p = patch('__main__.Something', a...
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you to use an alternative object as the spec. Thankfully :func:`patch` supports this - you can simply pass the alternative object as the *autospec* argument:: >>> class Something: ... def __init__(self): ... self.a = 33 ... >>> class SomethingForTest(Something): ... a = 33 ... >>> p = patch('__main__.Something', a...
you to use an alternative object as the spec. Thankfully :func:`patch` supports this - you can simply pass the alternative object as the *autospec* argument:: >>> class Something: ... def __init__(self): ... self.a = 33 ... >>> class SomethingForTest(Something): ... a = 33 ... >>> p = patch('__main__.Something', a...
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In this example we monkey patch ``method`` to return ``sentinel.some_object``: >>> real = ProductionClass() >>> real.method = Mock(name="method") >>> real.method.return_value = sentinel.some_object >>> result = real.method() >>> assert result is sentinel.some_object >>> result sentinel.some_object
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In this example we monkey patch ``method`` to return ``sentinel.some_object``: >>> real = ProductionClass() >>> real.method = Mock(name="method") >>> real.method.return_value = sentinel.some_object >>> result = real.method() >>> assert result is sentinel.some_object >>> result sentinel.some_object
In this example we monkey patch ``method`` to return ``sentinel.some_object``: >>> real = ProductionClass() >>> real.method = Mock(name="method") >>> real.method.return_value = sentinel.some_object >>> result = real.method() >>> assert result is sentinel.some_object >>> result sentinel.some_object
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>>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'> If modifying your production classes to add defaults isn't to your liking then there are more options. One of these is simply to use an instance as the spe...
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>>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'> If modifying your production classes to add defaults isn't to your liking then there are more options. One of these is simply to use an instance as the spe...
>>> class Something: ... member = None ... >>> mock = create_autospec(Something) >>> mock.member.foo.bar.baz() <MagicMock name='mock.member.foo.bar.baz()' id='...'> If modifying your production classes to add defaults isn't to your liking then there are more options. One of these is simply to use an instance as the spe...
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:func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any of the standard arguments created by :func:`patch`:: >>> @patch('sys.exit') ... @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(mock_exit, other, thing): ... assert 'o...
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:func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any of the standard arguments created by :func:`patch`:: >>> @patch('sys.exit') ... @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(mock_exit, other, thing): ... assert 'o...
:func:`patch.multiple` can be nested with other ``patch`` decorators, but put arguments passed by keyword *after* any of the standard arguments created by :func:`patch`:: >>> @patch('sys.exit') ... @patch.multiple('__main__', thing=DEFAULT, other=DEFAULT) ... def test_function(mock_exit, other, thing): ... assert 'o...
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with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback (most recent call last): ... TypeError: 'NonCallableMock' object is not callable Another use case might be to replace an object with an :class:`io.StringIO` instance::
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with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback (most recent call last): ... TypeError: 'NonCallableMock' object is not callable Another use case might be to replace an object with an :class:`io.StringIO` instance::
with patch('__main__.thing', new_callable=NonCallableMock) as mock_thing: ... assert thing is mock_thing ... thing() ... Traceback (most recent call last): ... TypeError: 'NonCallableMock' object is not callable Another use case might be to replace an object with an :class:`io.StringIO` instance::
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Mocking context managers with a :class:`MagicMock` is common enough and fiddly enough that a helper function is useful. :: >>> m = mock_open() >>> with patch('__main__.open', m): ... with open('foo', 'w') as h: ... h.write('some stuff') ... >>> m.mock_calls [call('foo', 'w'), call().__enter__(), call().write('so...
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Mocking context managers with a :class:`MagicMock` is common enough and fiddly enough that a helper function is useful. :: >>> m = mock_open() >>> with patch('__main__.open', m): ... with open('foo', 'w') as h: ... h.write('some stuff') ... >>> m.mock_calls [call('foo', 'w'), call().__enter__(), call().write('so...
Mocking context managers with a :class:`MagicMock` is common enough and fiddly enough that a helper function is useful. :: >>> m = mock_open() >>> with patch('__main__.open', m): ... with open('foo', 'w') as h: ... h.write('some stuff') ... >>> m.mock_calls [call('foo', 'w'), call().__enter__(), call().write('so...
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urllib import request >>> mock = Mock(spec=request.Request) >>> mock.assret_called_with # Intentional typo! Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'assret_called_with' The spec only applies to the mock itself, so we still have the same issue with any methods on the mock:
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urllib import request >>> mock = Mock(spec=request.Request) >>> mock.assret_called_with # Intentional typo! Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'assret_called_with' The spec only applies to the mock itself, so we still have the same issue with any methods on the mock:
urllib import request >>> mock = Mock(spec=request.Request) >>> mock.assret_called_with # Intentional typo! Traceback (most recent call last): ... AttributeError: Mock object has no attribute 'assret_called_with' The spec only applies to the mock itself, so we still have the same issue with any methods on the mock:
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