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5b825477-249b-4d0e-848f-9e5a7aff4f54
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file://datasets/cpython/Doc/library/tempfile.rst
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.. function:: mkdtemp(suffix=None, prefix=None, dir=None) Creates a temporary directory in the most secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID.
trusted_official_docs
CPython Docs
.. function:: mkdtemp(suffix=None, prefix=None, dir=None) Creates a temporary directory in the most secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID.
.. function:: mkdtemp(suffix=None, prefix=None, dir=None) Creates a temporary directory in the most secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID.
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Return the name of the directory used for temporary files. This defines the default value for the *dir* argument to all functions in this module. Python searches a standard list of directories to find one which the calling user can create files in. The list is:
trusted_official_docs
CPython Docs
Return the name of the directory used for temporary files. This defines the default value for the *dir* argument to all functions in this module. Python searches a standard list of directories to find one which the calling user can create files in. The list is:
Return the name of the directory used for temporary files. This defines the default value for the *dir* argument to all functions in this module. Python searches a standard list of directories to find one which the calling user can create files in. The list is:
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.. warning:: Use of this function may introduce a security hole in your program. By the time you get around to doing anything with the file name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` par...
trusted_official_docs
CPython Docs
.. warning:: Use of this function may introduce a security hole in your program. By the time you get around to doing anything with the file name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` par...
.. warning:: Use of this function may introduce a security hole in your program. By the time you get around to doing anything with the file name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` par...
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parameter to be false. The latter approach is recommended as it provides assistance in automatic cleaning of the temporary file upon the context manager exit. Opening the temporary file again by its name while it is still open works as follows:
trusted_official_docs
CPython Docs
parameter to be false. The latter approach is recommended as it provides assistance in automatic cleaning of the temporary file upon the context manager exit. Opening the temporary file again by its name while it is still open works as follows:
parameter to be false. The latter approach is recommended as it provides assistance in automatic cleaning of the temporary file upon the context manager exit. Opening the temporary file again by its name while it is still open works as follows:
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.. versionadded:: 3.5 The module uses a global variable to store the name of the directory used for temporary files returned by :func:`gettempdir`. It can be set directly to override the selection process, but this is discouraged. All functions in this module take a *dir* argument which can be used to specify the direc...
trusted_official_docs
CPython Docs
.. versionadded:: 3.5 The module uses a global variable to store the name of the directory used for temporary files returned by :func:`gettempdir`. It can be set directly to override the selection process, but this is discouraged. All functions in this module take a *dir* argument which can be used to specify the direc...
.. versionadded:: 3.5 The module uses a global variable to store the name of the directory used for temporary files returned by :func:`gettempdir`. It can be set directly to override the selection process, but this is discouraged. All functions in this module take a *dir* argument which can be used to specify the direc...
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default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`. If ``tempdir`` is ``None`` (the default) at any call to any of the above functions except :func:`gettempprefix` it is initialized following the algorithm described i...
trusted_official_docs
CPython Docs
default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`. If ``tempdir`` is ``None`` (the default) at any call to any of the above functions except :func:`gettempprefix` it is initialized following the algorithm described i...
default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`. If ``tempdir`` is ``None`` (the default) at any call to any of the above functions except :func:`gettempprefix` it is initialized following the algorithm described i...
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created via builtin :func:`open`) must be closed before exiting the context manager, else the :func:`os.unlink` call on context manager exit will fail with a :exc:`PermissionError`. On Windows, if *delete_on_close* is false, and the file is created in a directory for which the user lacks delete access, then the :func:...
trusted_official_docs
CPython Docs
created via builtin :func:`open`) must be closed before exiting the context manager, else the :func:`os.unlink` call on context manager exit will fail with a :exc:`PermissionError`. On Windows, if *delete_on_close* is false, and the file is created in a directory for which the user lacks delete access, then the :func:...
created via builtin :func:`open`) must be closed before exiting the context manager, else the :func:`os.unlink` call on context manager exit will fail with a :exc:`PermissionError`. On Windows, if *delete_on_close* is false, and the file is created in a directory for which the user lacks delete access, then the :func:...
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errors will be raised in whatever context cleanup occurs (the :meth:`!cleanup` call, exiting the context manager, when the object is garbage-collected or during interpreter shutdown). The *delete* parameter can be used to disable cleanup of the directory tree upon exiting the context. While it may seem unusual for a c...
trusted_official_docs
CPython Docs
errors will be raised in whatever context cleanup occurs (the :meth:`!cleanup` call, exiting the context manager, when the object is garbage-collected or during interpreter shutdown). The *delete* parameter can be used to disable cleanup of the directory tree upon exiting the context. While it may seem unusual for a c...
errors will be raised in whatever context cleanup occurs (the :meth:`!cleanup` call, exiting the context manager, when the object is garbage-collected or during interpreter shutdown). The *delete* parameter can be used to disable cleanup of the directory tree upon exiting the context. While it may seem unusual for a c...
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Local_Trusted_Corpus
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CPython Docs
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.. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
trusted_official_docs
CPython Docs
.. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
.. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
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CPython Docs
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Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value to be used. .. versionchanged:: 3.6 The *dir* parameter now accepts a :term:`path-like object`.
trusted_official_docs
CPython Docs
Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value to be used. .. versionchanged:: 3.6 The *dir* parameter now accepts a :term:`path-like object`.
Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value to be used. .. versionchanged:: 3.6 The *dir* parameter now accepts a :term:`path-like object`.
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If *text* is specified and true, the file is opened in text mode. Otherwise, (the default) the file is opened in binary mode. :func:`mkstemp` returns a tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order.
trusted_official_docs
CPython Docs
If *text* is specified and true, the file is opened in text mode. Otherwise, (the default) the file is opened in binary mode. :func:`mkstemp` returns a tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order.
If *text* is specified and true, the file is opened in text mode. Otherwise, (the default) the file is opened in binary mode. :func:`mkstemp` returns a tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order.
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tempfile.TemporaryFile() >>> fp.write(b'Hello world!') # read data from file >>> fp.seek(0) >>> fp.read() b'Hello world!' # close the file, it will be removed >>> fp.close() # create a temporary file using a context manager >>> with tempfile.TemporaryFile() as fp: ... fp.write(b'Hello world!') ... fp.seek(0) ... fp...
trusted_official_docs
CPython Docs
tempfile.TemporaryFile() >>> fp.write(b'Hello world!') # read data from file >>> fp.seek(0) >>> fp.read() b'Hello world!' # close the file, it will be removed >>> fp.close() # create a temporary file using a context manager >>> with tempfile.TemporaryFile() as fp: ... fp.write(b'Hello world!') ... fp.seek(0) ... fp...
tempfile.TemporaryFile() >>> fp.write(b'Hello world!') # read data from file >>> fp.seek(0) >>> fp.read() b'Hello world!' # close the file, it will be removed >>> fp.close() # create a temporary file using a context manager >>> with tempfile.TemporaryFile() as fp: ... fp.write(b'Hello world!') ... fp.seek(0) ... fp...
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The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it. The *prefix*, *suffix*, and *dir* arguments are the same as for :func:`mkstemp`.
trusted_official_docs
CPython Docs
The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it. The *prefix*, *suffix*, and *dir* arguments are the same as for :func:`mkstemp`.
The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it. The *prefix*, *suffix*, and *dir* arguments are the same as for :func:`mkstemp`.
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file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettempprefixb`, as appropriate. If *dir* is not ``None``, the file will be created in that directory; otherwise, a default directory is used. The default directory is chosen ...
trusted_official_docs
CPython Docs
file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettempprefixb`, as appropriate. If *dir* is not ``None``, the file will be created in that directory; otherwise, a default directory is used. The default directory is chosen ...
file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettempprefixb`, as appropriate. If *dir* is not ``None``, the file will be created in that directory; otherwise, a default directory is used. The default directory is chosen ...
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CPython Docs
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.. method:: TemporaryDirectory.cleanup The directory can be explicitly cleaned up by calling the :meth:`!cleanup` method. If *ignore_cleanup_errors* is true, any unhandled exceptions during explicit or implicit cleanup (such as a :exc:`PermissionError` removing open files on Windows) will be ignored, and the remain...
trusted_official_docs
CPython Docs
.. method:: TemporaryDirectory.cleanup The directory can be explicitly cleaned up by calling the :meth:`!cleanup` method. If *ignore_cleanup_errors* is true, any unhandled exceptions during explicit or implicit cleanup (such as a :exc:`PermissionError` removing open files on Windows) will be ignored, and the remain...
.. method:: TemporaryDirectory.cleanup The directory can be explicitly cleaned up by calling the :meth:`!cleanup` method. If *ignore_cleanup_errors* is true, any unhandled exceptions during explicit or implicit cleanup (such as a :exc:`PermissionError` removing open files on Windows) will be ignored, and the remain...
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CPython Docs
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securely created in shared temporary directories. To maintain backward compatibility, the argument order is somewhat odd; it is recommended to use keyword arguments for clarity. The module defines the following user-callable items:
trusted_official_docs
CPython Docs
securely created in shared temporary directories. To maintain backward compatibility, the argument order is somewhat odd; it is recommended to use keyword arguments for clarity. The module defines the following user-callable items:
securely created in shared temporary directories. To maintain backward compatibility, the argument order is somewhat odd; it is recommended to use keyword arguments for clarity. The module defines the following user-callable items:
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name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` parameter:: >>> f = NamedTemporaryFile(delete=False) >>> f.name '/tmp/tmptjujjt' >>> f.write(b"Hello World!\n") 13 >>> f.close() >>> os.unlin...
trusted_official_docs
CPython Docs
name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` parameter:: >>> f = NamedTemporaryFile(delete=False) >>> f.name '/tmp/tmptjujjt' >>> f.write(b"Hello World!\n") 13 >>> f.close() >>> os.unlin...
name it returns, someone else may have beaten you to the punch. :func:`mktemp` usage can be replaced easily with :func:`NamedTemporaryFile`, passing it the ``delete=False`` parameter:: >>> f = NamedTemporaryFile(delete=False) >>> f.name '/tmp/tmptjujjt' >>> f.write(b"Hello World!\n") 13 >>> f.close() >>> os.unlin...
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is a true file object on POSIX platforms. On other platforms, it is a file-like object whose :attr:`!file` attribute is the underlying true file object. The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later).
trusted_official_docs
CPython Docs
is a true file object on POSIX platforms. On other platforms, it is a file-like object whose :attr:`!file` attribute is the underlying true file object. The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later).
is a true file object on POSIX platforms. On other platforms, it is a file-like object whose :attr:`!file` attribute is the underlying true file object. The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later).
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.. class:: TemporaryDirectory(suffix=None, prefix=None, dir=None, ignore_cleanup_errors=False, *, delete=True) This class securely creates a temporary directory using the same rules as :func:`mkdtemp`. The resulting object can be used as a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the co...
trusted_official_docs
CPython Docs
.. class:: TemporaryDirectory(suffix=None, prefix=None, dir=None, ignore_cleanup_errors=False, *, delete=True) This class securely creates a temporary directory using the same rules as :func:`mkdtemp`. The resulting object can be used as a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the co...
.. class:: TemporaryDirectory(suffix=None, prefix=None, dir=None, ignore_cleanup_errors=False, *, delete=True) This class securely creates a temporary directory using the same rules as :func:`mkdtemp`. The resulting object can be used as a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the co...
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* On POSIX the file can always be opened again. * On Windows, make sure that at least one of the following conditions are fulfilled: * *delete* is false * additional open shares delete access (e.g. by calling :func:`os.open` with the flag ``O_TEMPORARY``) * *delete* is true but *delete_on_close* is false. Note, that...
trusted_official_docs
CPython Docs
* On POSIX the file can always be opened again. * On Windows, make sure that at least one of the following conditions are fulfilled: * *delete* is false * additional open shares delete access (e.g. by calling :func:`os.open` with the flag ``O_TEMPORARY``) * *delete* is true but *delete_on_close* is false. Note, that...
* On POSIX the file can always be opened again. * On Windows, make sure that at least one of the following conditions are fulfilled: * *delete* is false * additional open shares delete access (e.g. by calling :func:`os.open` with the flag ``O_TEMPORARY``) * *delete* is true but *delete_on_close* is false. Note, that...
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.. deprecated:: 2.3 Use :func:`mkstemp` instead. Return an absolute pathname of a file that did not exist at the time the call is made. The *prefix*, *suffix*, and *dir* arguments are similar to those of :func:`mkstemp`, except that bytes file names, ``suffix=None`` and ``prefix=None`` are not supported.
trusted_official_docs
CPython Docs
.. deprecated:: 2.3 Use :func:`mkstemp` instead. Return an absolute pathname of a file that did not exist at the time the call is made. The *prefix*, *suffix*, and *dir* arguments are similar to those of :func:`mkstemp`, except that bytes file names, ``suffix=None`` and ``prefix=None`` are not supported.
.. deprecated:: 2.3 Use :func:`mkstemp` instead. Return an absolute pathname of a file that did not exist at the time the call is made. The *prefix*, *suffix*, and *dir* arguments are similar to those of :func:`mkstemp`, except that bytes file names, ``suffix=None`` and ``prefix=None`` are not supported.
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suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one, put it at the beginning of *suffix*. If *prefix* is not ``None``, the file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettemp...
trusted_official_docs
CPython Docs
suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one, put it at the beginning of *suffix*. If *prefix* is not ``None``, the file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettemp...
suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one, put it at the beginning of *suffix*. If *prefix* is not ``None``, the file name will begin with that prefix; otherwise, a default prefix is used. The default is the return value of :func:`gettempprefix` or :func:`gettemp...
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true file object, depending on whether :meth:`rollover` has been called. This file-like object can be used in a :keyword:`with` statement, just like a normal file. .. versionchanged:: 3.3 the truncate method now accepts a *size* argument.
trusted_official_docs
CPython Docs
true file object, depending on whether :meth:`rollover` has been called. This file-like object can be used in a :keyword:`with` statement, just like a normal file. .. versionchanged:: 3.3 the truncate method now accepts a *size* argument.
true file object, depending on whether :meth:`rollover` has been called. This file-like object can be used in a :keyword:`with` statement, just like a normal file. .. versionchanged:: 3.3 the truncate method now accepts a *size* argument.
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The solution is to combine the two steps and create the file immediately. This approach is used by :func:`mkstemp` and the other functions described above. .. function:: mktemp(suffix='', prefix='tmp', dir=None)
trusted_official_docs
CPython Docs
The solution is to combine the two steps and create the file immediately. This approach is used by :func:`mkstemp` and the other functions described above. .. function:: mktemp(suffix='', prefix='tmp', dir=None)
The solution is to combine the two steps and create the file immediately. This approach is used by :func:`mkstemp` and the other functions described above. .. function:: mktemp(suffix='', prefix='tmp', dir=None)
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Unlike :func:`TemporaryFile`, the user of :func:`mkstemp` is responsible for deleting the temporary file when done with it. If *suffix* is not ``None``, the file name will end with that suffix, otherwise there will be no suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one,...
trusted_official_docs
CPython Docs
Unlike :func:`TemporaryFile`, the user of :func:`mkstemp` is responsible for deleting the temporary file when done with it. If *suffix* is not ``None``, the file name will end with that suffix, otherwise there will be no suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one,...
Unlike :func:`TemporaryFile`, the user of :func:`mkstemp` is responsible for deleting the temporary file when done with it. If *suffix* is not ``None``, the file name will end with that suffix, otherwise there will be no suffix. :func:`mkstemp` does not put a dot between the file name and the suffix; if you need one,...
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secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID. The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it.
trusted_official_docs
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secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID. The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it.
secure manner possible. There are no race conditions in the directory's creation. The directory is readable, writable, and searchable only by the creating user ID. The user of :func:`mkdtemp` is responsible for deleting the temporary directory and its contents when done with it.
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.. attribute:: TemporaryDirectory.name The directory name can be retrieved from the :attr:`!name` attribute of the returned object. When the returned object is used as a :term:`context manager`, the :attr:`!name` will be assigned to the target of the :keyword:`!as` clause in the :keyword:`with` statement, if there i...
trusted_official_docs
CPython Docs
.. attribute:: TemporaryDirectory.name The directory name can be retrieved from the :attr:`!name` attribute of the returned object. When the returned object is used as a :term:`context manager`, the :attr:`!name` will be assigned to the target of the :keyword:`!as` clause in the :keyword:`with` statement, if there i...
.. attribute:: TemporaryDirectory.name The directory name can be retrieved from the :attr:`!name` attribute of the returned object. When the returned object is used as a :term:`context manager`, the :attr:`!name` will be assigned to the target of the :keyword:`!as` clause in the :keyword:`with` statement, if there i...
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This cannot happen when *delete_on_close* is true because delete access is requested by the open, which fails immediately if the requested access is not granted. On POSIX (only), a process that is terminated abruptly with SIGKILL cannot automatically delete any NamedTemporaryFiles it created.
trusted_official_docs
CPython Docs
This cannot happen when *delete_on_close* is true because delete access is requested by the open, which fails immediately if the requested access is not granted. On POSIX (only), a process that is terminated abruptly with SIGKILL cannot automatically delete any NamedTemporaryFiles it created.
This cannot happen when *delete_on_close* is true because delete access is requested by the open, which fails immediately if the requested access is not granted. On POSIX (only), a process that is terminated abruptly with SIGKILL cannot automatically delete any NamedTemporaryFiles it created.
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The resulting file has one additional method, :meth:`!rollover`, which causes the file to roll over to an on-disk file regardless of its size. The returned object is a file-like object whose :attr:`!_file` attribute is either an :class:`io.BytesIO` or :class:`io.TextIOWrapper` object (depending on whether binary or t...
trusted_official_docs
CPython Docs
The resulting file has one additional method, :meth:`!rollover`, which causes the file to roll over to an on-disk file regardless of its size. The returned object is a file-like object whose :attr:`!_file` attribute is either an :class:`io.BytesIO` or :class:`io.TextIOWrapper` object (depending on whether binary or t...
The resulting file has one additional method, :meth:`!rollover`, which causes the file to roll over to an on-disk file regardless of its size. The returned object is a file-like object whose :attr:`!_file` attribute is either an :class:`io.BytesIO` or :class:`io.TextIOWrapper` object (depending on whether binary or t...
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# open the file again by using its name ... with open(fp.name, mode='rb') as f: ... f.read() b'Hello world!' >>> # file is now removed # create a temporary directory using the context manager >>> with tempfile.TemporaryDirectory() as tmpdirname: ... print('created temporary directory', tmpdirname) >>> # directory a...
trusted_official_docs
CPython Docs
# open the file again by using its name ... with open(fp.name, mode='rb') as f: ... f.read() b'Hello world!' >>> # file is now removed # create a temporary directory using the context manager >>> with tempfile.TemporaryDirectory() as tmpdirname: ... print('created temporary directory', tmpdirname) >>> # directory a...
# open the file again by using its name ... with open(fp.name, mode='rb') as f: ... f.read() b'Hello world!' >>> # file is now removed # create a temporary directory using the context manager >>> with tempfile.TemporaryDirectory() as tmpdirname: ... print('created temporary directory', tmpdirname) >>> # directory a...
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The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later). On platforms that are neither Posix nor Cygwin, TemporaryFile is an alias for NamedTemporaryFile.
trusted_official_docs
CPython Docs
The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later). On platforms that are neither Posix nor Cygwin, TemporaryFile is an alias for NamedTemporaryFile.
The :py:const:`os.O_TMPFILE` flag is used if it is available and works (Linux-specific, requires Linux kernel 3.11 or later). On platforms that are neither Posix nor Cygwin, TemporaryFile is an alias for NamedTemporaryFile.
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taken when exiting the context, it can be useful during debugging or when you need your cleanup behavior to be conditional based on other logic. .. audit-event:: tempfile.mkdtemp fullpath tempfile.TemporaryDirectory
trusted_official_docs
CPython Docs
taken when exiting the context, it can be useful during debugging or when you need your cleanup behavior to be conditional based on other logic. .. audit-event:: tempfile.mkdtemp fullpath tempfile.TemporaryDirectory
taken when exiting the context, it can be useful during debugging or when you need your cleanup behavior to be conditional based on other logic. .. audit-event:: tempfile.mkdtemp fullpath tempfile.TemporaryDirectory
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.. function:: TemporaryFile(mode='w+b', buffering=-1, encoding=None, newline=None, suffix=None, prefix=None, dir=None, *, errors=None) Return a :term:`file-like object` that can be used as a temporary storage area. The file is created securely, using the same rules as :func:`mkstemp`. It will be destroyed as soon as i...
trusted_official_docs
CPython Docs
.. function:: TemporaryFile(mode='w+b', buffering=-1, encoding=None, newline=None, suffix=None, prefix=None, dir=None, *, errors=None) Return a :term:`file-like object` that can be used as a temporary storage area. The file is created securely, using the same rules as :func:`mkstemp`. It will be destroyed as soon as i...
.. function:: TemporaryFile(mode='w+b', buffering=-1, encoding=None, newline=None, suffix=None, prefix=None, dir=None, *, errors=None) Return a :term:`file-like object` that can be used as a temporary storage area. The file is created securely, using the same rules as :func:`mkstemp`. It will be destroyed as soon as i...
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.. data:: tempdir When set to a value other than ``None``, this variable defines the default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`.
trusted_official_docs
CPython Docs
.. data:: tempdir When set to a value other than ``None``, this variable defines the default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`.
.. data:: tempdir When set to a value other than ``None``, this variable defines the default value for the *dir* argument to the functions defined in this module, including its type, bytes or str. It cannot be a :term:`path-like object`.
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Python searches a standard list of directories to find one which the calling user can create files in. The list is: #. The directory named by the :envvar:`TMPDIR` environment variable.
trusted_official_docs
CPython Docs
Python searches a standard list of directories to find one which the calling user can create files in. The list is: #. The directory named by the :envvar:`TMPDIR` environment variable.
Python searches a standard list of directories to find one which the calling user can create files in. The list is: #. The directory named by the :envvar:`TMPDIR` environment variable.
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tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order. .. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp
trusted_official_docs
CPython Docs
tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order. .. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp
tuple containing an OS-level handle to an open file (as would be returned by :func:`os.open`) and the absolute pathname of that file, in that order. .. audit-event:: tempfile.mkstemp fullpath tempfile.mkstemp
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Deprecated functions and variables ---------------------------------- A historical way to create temporary files was to first generate a file name with the :func:`mktemp` function and then create a file using this name. Unfortunately this is not secure, because a different process may create a file with this name in th...
trusted_official_docs
CPython Docs
Deprecated functions and variables ---------------------------------- A historical way to create temporary files was to first generate a file name with the :func:`mktemp` function and then create a file using this name. Unfortunately this is not secure, because a different process may create a file with this name in th...
Deprecated functions and variables ---------------------------------- A historical way to create temporary files was to first generate a file name with the :func:`mktemp` function and then create a file using this name. Unfortunately this is not secure, because a different process may create a file with this name in th...
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is thus no guarantee that the generated filename will have any nice properties, such as not requiring quoting when passed to external commands via ``os.popen()``. If any of *suffix*, *prefix*, and *dir* are not ``None``, they must be the same type. If they are bytes, the returned name will be bytes instead of str. If ...
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is thus no guarantee that the generated filename will have any nice properties, such as not requiring quoting when passed to external commands via ``os.popen()``. If any of *suffix*, *prefix*, and *dir* are not ``None``, they must be the same type. If they are bytes, the returned name will be bytes instead of str. If ...
is thus no guarantee that the generated filename will have any nice properties, such as not requiring quoting when passed to external commands via ``os.popen()``. If any of *suffix*, *prefix*, and *dir* are not ``None``, they must be the same type. If they are bytes, the returned name will be bytes instead of str. If ...
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:attr:`!name` attribute of the returned file-like object. On Unix, unlike with the :func:`TemporaryFile`, the directory entry does not get unlinked immediately after the file creation. If *delete* is true (the default) and *delete_on_close* is true (the default), the file is deleted as soon as it is closed. If *delete...
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:attr:`!name` attribute of the returned file-like object. On Unix, unlike with the :func:`TemporaryFile`, the directory entry does not get unlinked immediately after the file creation. If *delete* is true (the default) and *delete_on_close* is true (the default), the file is deleted as soon as it is closed. If *delete...
:attr:`!name` attribute of the returned file-like object. On Unix, unlike with the :func:`TemporaryFile`, the directory entry does not get unlinked immediately after the file creation. If *delete* is true (the default) and *delete_on_close* is true (the default), the file is deleted as soon as it is closed. If *delete...
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.. audit-event:: tempfile.mkdtemp fullpath tempfile.mkdtemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
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.. audit-event:: tempfile.mkdtemp fullpath tempfile.mkdtemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
.. audit-event:: tempfile.mkdtemp fullpath tempfile.mkdtemp .. versionchanged:: 3.5 *suffix*, *prefix*, and *dir* may now be supplied in bytes in order to obtain a bytes return value. Prior to this, only str was allowed. *suffix* and *prefix* now accept and default to ``None`` to cause an appropriate default value t...
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a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the context or destruction of the file object the temporary file will be removed from the filesystem. The *mode* parameter defaults to ``'w+b'`` so that the file created can be read and written without being closed. Binary mode is used so that ...
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a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the context or destruction of the file object the temporary file will be removed from the filesystem. The *mode* parameter defaults to ``'w+b'`` so that the file created can be read and written without being closed. Binary mode is used so that ...
a :term:`context manager` (see :ref:`tempfile-examples`). On completion of the context or destruction of the file object the temporary file will be removed from the filesystem. The *mode* parameter defaults to ``'w+b'`` so that the file created can be read and written without being closed. Binary mode is used so that ...
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:func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance. The :mod:`!abc` module also supports the following legacy decorators:
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:func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance. The :mod:`!abc` module also supports the following legacy decorators:
:func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance. The :mod:`!abc` module also supports the following legacy decorators:
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A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`classmethod` decorator is now correctly identified as abstract when applied to an abstract method::
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A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`classmethod` decorator is now correctly identified as abstract when applied to an abstract method::
A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`classmethod` decorator is now correctly identified as abstract when applied to an abstract method::
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class C(ABC): @property @abstractmethod def my_abstract_property(self): ... The above example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract::
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class C(ABC): @property @abstractmethod def my_abstract_property(self): ... The above example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract::
class C(ABC): @property @abstractmethod def my_abstract_property(self): ... The above example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract::
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be used to test whether a class or instance provides a particular interface, for example, if it is :term:`hashable` or if it is a :term:`mapping`. This module provides the metaclass :class:`ABCMeta` for defining ABCs and a helper class :class:`ABC` to alternatively define ABCs through inheritance:
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be used to test whether a class or instance provides a particular interface, for example, if it is :term:`hashable` or if it is a :term:`mapping`. This module provides the metaclass :class:`ABCMeta` for defining ABCs and a helper class :class:`ABC` to alternatively define ABCs through inheritance:
be used to test whether a class or instance provides a particular interface, for example, if it is :term:`hashable` or if it is a :term:`mapping`. This module provides the metaclass :class:`ABCMeta` for defining ABCs and a helper class :class:`ABC` to alternatively define ABCs through inheritance:
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example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract:: class C(ABC): @property def x(self): ...
trusted_official_docs
CPython Docs
example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract:: class C(ABC): @property def x(self): ...
example defines a read-only property; you can also define a read-write abstract property by appropriately marking one or more of the underlying methods as abstract:: class C(ABC): @property def x(self): ...
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Returns the current abstract base class cache token. The token is an opaque object (that supports equality testing) identifying the current version of the abstract base class cache for virtual subclasses. The token changes with every call to :meth:`ABCMeta.register` on any ABC.
trusted_official_docs
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Returns the current abstract base class cache token. The token is an opaque object (that supports equality testing) identifying the current version of the abstract base class cache for virtual subclasses. The token changes with every call to :meth:`ABCMeta.register` on any ABC.
Returns the current abstract base class cache token. The token is an opaque object (that supports equality testing) identifying the current version of the abstract base class cache for virtual subclasses. The token changes with every call to :meth:`ABCMeta.register` on any ABC.
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supported using the :func:`update_abstractmethods` function. The :func:`!abstractmethod` only affects subclasses derived using regular inheritance; "virtual subclasses" registered with the ABC's :meth:`~ABCMeta.register` method are not affected. When :func:`!abstractmethod` is applied in combination with other method ...
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supported using the :func:`update_abstractmethods` function. The :func:`!abstractmethod` only affects subclasses derived using regular inheritance; "virtual subclasses" registered with the ABC's :meth:`~ABCMeta.register` method are not affected. When :func:`!abstractmethod` is applied in combination with other method ...
supported using the :func:`update_abstractmethods` function. The :func:`!abstractmethod` only affects subclasses derived using regular inheritance; "virtual subclasses" registered with the ABC's :meth:`~ABCMeta.register` method are not affected. When :func:`!abstractmethod` is applied in combination with other method ...
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a subclass of this ABC, even if it would normally be one. If it returns :data:`!NotImplemented`, the subclass check is continued with the usual mechanism. .. XXX explain the "usual mechanism"
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a subclass of this ABC, even if it would normally be one. If it returns :data:`!NotImplemented`, the subclass check is continued with the usual mechanism. .. XXX explain the "usual mechanism"
a subclass of this ABC, even if it would normally be one. If it returns :data:`!NotImplemented`, the subclass check is continued with the usual mechanism. .. XXX explain the "usual mechanism"
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.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`staticmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`.
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.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`staticmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`.
.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`staticmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`.
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Metaclass for defining Abstract Base Classes (ABCs). Use this metaclass to create an ABC. An ABC can be subclassed directly, and then acts as a mix-in class. You can also register unrelated concrete classes (even built-in classes) and unrelated ABCs as "virtual subclasses" -- these and their descendants will be cons...
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Metaclass for defining Abstract Base Classes (ABCs). Use this metaclass to create an ABC. An ABC can be subclassed directly, and then acts as a mix-in class. You can also register unrelated concrete classes (even built-in classes) and unrelated ABCs as "virtual subclasses" -- these and their descendants will be cons...
Metaclass for defining Abstract Base Classes (ABCs). Use this metaclass to create an ABC. An ABC can be subclassed directly, and then acts as a mix-in class. You can also register unrelated concrete classes (even built-in classes) and unrelated ABCs as "virtual subclasses" -- these and their descendants will be cons...
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.. deprecated:: 3.3 It is now possible to use :class:`property`, :meth:`property.getter`, :meth:`property.setter` and :meth:`property.deleter` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`property`, indicating an abstract property.
trusted_official_docs
CPython Docs
.. deprecated:: 3.3 It is now possible to use :class:`property`, :meth:`property.getter`, :meth:`property.setter` and :meth:`property.deleter` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`property`, indicating an abstract property.
.. deprecated:: 3.3 It is now possible to use :class:`property`, :meth:`property.getter`, :meth:`property.setter` and :meth:`property.deleter` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`property`, indicating an abstract property.
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When :func:`!abstractmethod` is applied in combination with other method descriptors, it should be applied as the innermost decorator, as shown in the following usage examples:: class C(ABC): @abstractmethod def my_abstract_method(self, arg1): ... @classmethod @abstractmethod def my_abstract_classmethod(cls, arg2)...
trusted_official_docs
CPython Docs
When :func:`!abstractmethod` is applied in combination with other method descriptors, it should be applied as the innermost decorator, as shown in the following usage examples:: class C(ABC): @abstractmethod def my_abstract_method(self, arg1): ... @classmethod @abstractmethod def my_abstract_classmethod(cls, arg2)...
When :func:`!abstractmethod` is applied in combination with other method descriptors, it should be applied as the innermost decorator, as shown in the following usage examples:: class C(ABC): @abstractmethod def my_abstract_method(self, arg1): ... @classmethod @abstractmethod def my_abstract_classmethod(cls, arg2)...
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the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.) The :mod:`collections` module has some concrete classes that derive from ABCs; these can, of course, be further derived. In addition, the :mod:`collections.abc` submodule ...
trusted_official_docs
CPython Docs
the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.) The :mod:`collections` module has some concrete classes that derive from ABCs; these can, of course, be further derived. In addition, the :mod:`collections.abc` submodule ...
the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.) The :mod:`collections` module has some concrete classes that derive from ABCs; these can, of course, be further derived. In addition, the :mod:`collections.abc` submodule ...
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.. function:: update_abstractmethods(cls) A function to recalculate an abstract class's abstraction status. This function should be called if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator.
trusted_official_docs
CPython Docs
.. function:: update_abstractmethods(cls) A function to recalculate an abstract class's abstraction status. This function should be called if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator.
.. function:: update_abstractmethods(cls) A function to recalculate an abstract class's abstraction status. This function should be called if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator.
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A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`staticmethod` decorator is now correctly identified as abstract when applied to an abstract method::
trusted_official_docs
CPython Docs
A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`staticmethod` decorator is now correctly identified as abstract when applied to an abstract method::
A subclass of the built-in :func:`staticmethod`, indicating an abstract staticmethod. Otherwise it is similar to :func:`abstractmethod`. This special case is deprecated, as the :func:`staticmethod` decorator is now correctly identified as abstract when applied to an abstract method::
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won't show up in their MRO (Method Resolution Order) nor will method implementations defined by the registering ABC be callable (not even via :func:`super`). [#]_ Classes created with a metaclass of :class:`!ABCMeta` have the following method:
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won't show up in their MRO (Method Resolution Order) nor will method implementations defined by the registering ABC be callable (not even via :func:`super`). [#]_ Classes created with a metaclass of :class:`!ABCMeta` have the following method:
won't show up in their MRO (Method Resolution Order) nor will method implementations defined by the registering ABC be callable (not even via :func:`super`). [#]_ Classes created with a metaclass of :class:`!ABCMeta` have the following method:
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A subclass of the built-in :func:`property`, indicating an abstract property. This special case is deprecated, as the :func:`property` decorator is now correctly identified as abstract when applied to an abstract method::
trusted_official_docs
CPython Docs
A subclass of the built-in :func:`property`, indicating an abstract property. This special case is deprecated, as the :func:`property` decorator is now correctly identified as abstract when applied to an abstract method::
A subclass of the built-in :func:`property`, indicating an abstract property. This special case is deprecated, as the :func:`property` decorator is now correctly identified as abstract when applied to an abstract method::
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an :meth:`~object.__iter__` method in its :attr:`~object.__dict__` (or in that of one of its base classes, accessed via the :attr:`~type.__mro__` list) is considered a ``MyIterable`` too. Finally, the last line makes ``Foo`` a virtual subclass of ``MyIterable``, even though it does not define an :meth:`~object.__iter_...
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an :meth:`~object.__iter__` method in its :attr:`~object.__dict__` (or in that of one of its base classes, accessed via the :attr:`~type.__mro__` list) is considered a ``MyIterable`` too. Finally, the last line makes ``Foo`` a virtual subclass of ``MyIterable``, even though it does not define an :meth:`~object.__iter_...
an :meth:`~object.__iter__` method in its :attr:`~object.__dict__` (or in that of one of its base classes, accessed via the :attr:`~type.__mro__` list) is considered a ``MyIterable`` too. Finally, the last line makes ``Foo`` a virtual subclass of ``MyIterable``, even though it does not define an :meth:`~object.__iter_...
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attribute should be ``True`` if any of the methods used to compose the descriptor are abstract. For example, Python's built-in :class:`property` does the equivalent of:: class Descriptor: ... @property def __isabstractmethod__(self): return any(getattr(f, '__isabstractmethod__', False) for f in (self._fget, self._f...
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attribute should be ``True`` if any of the methods used to compose the descriptor are abstract. For example, Python's built-in :class:`property` does the equivalent of:: class Descriptor: ... @property def __isabstractmethod__(self): return any(getattr(f, '__isabstractmethod__', False) for f in (self._fget, self._f...
attribute should be ``True`` if any of the methods used to compose the descriptor are abstract. For example, Python's built-in :class:`property` does the equivalent of:: class Descriptor: ... @property def __isabstractmethod__(self): return any(getattr(f, '__isabstractmethod__', False) for f in (self._fget, self._f...
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MyIterable.register(Foo) The ABC ``MyIterable`` defines the standard iterable method, :meth:`~object.__iter__`, as an abstract method. The implementation given here can still be called from subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to b...
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MyIterable.register(Foo) The ABC ``MyIterable`` defines the standard iterable method, :meth:`~object.__iter__`, as an abstract method. The implementation given here can still be called from subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to b...
MyIterable.register(Foo) The ABC ``MyIterable`` defines the standard iterable method, :meth:`~object.__iter__`, as an abstract method. The implementation given here can still be called from subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to b...
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.. note:: Unlike Java abstract methods, these abstract methods may have an implementation. This implementation can be called via the :func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance.
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.. note:: Unlike Java abstract methods, these abstract methods may have an implementation. This implementation can be called via the :func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance.
.. note:: Unlike Java abstract methods, these abstract methods may have an implementation. This implementation can be called via the :func:`super` mechanism from the class that overrides it. This could be useful as an end-point for a super-call in a framework that uses cooperative multiple-inheritance.
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defined in terms of :meth:`~object.__len__` and :meth:`~object.__getitem__`). Note that this will not make ``get_iterator`` available as a method of ``Foo``, so it is provided separately. The :mod:`!abc` module also provides the following decorator:
trusted_official_docs
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defined in terms of :meth:`~object.__len__` and :meth:`~object.__getitem__`). Note that this will not make ``get_iterator`` available as a method of ``Foo``, so it is provided separately. The :mod:`!abc` module also provides the following decorator:
defined in terms of :meth:`~object.__len__` and :meth:`~object.__getitem__`). Note that this will not make ``get_iterator`` available as a method of ``Foo``, so it is provided separately. The :mod:`!abc` module also provides the following decorator:
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-------------- This module provides the infrastructure for defining :term:`abstract base classes <abstract base class>` (ABCs) in Python, as outlined in :pep:`3119`; see the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.)
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-------------- This module provides the infrastructure for defining :term:`abstract base classes <abstract base class>` (ABCs) in Python, as outlined in :pep:`3119`; see the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.)
-------------- This module provides the infrastructure for defining :term:`abstract base classes <abstract base class>` (ABCs) in Python, as outlined in :pep:`3119`; see the PEP for why this was added to Python. (See also :pep:`3141` and the :mod:`numbers` module regarding a type hierarchy for numbers based on ABCs.)
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class MyABC(ABC): pass Note that the type of :class:`!ABC` is still :class:`ABCMeta`, therefore inheriting from :class:`!ABC` requires the usual precautions regarding metaclass usage, as multiple inheritance may lead to metaclass conflicts. One may also define an abstract base class by passing the metaclass keyword ...
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class MyABC(ABC): pass Note that the type of :class:`!ABC` is still :class:`ABCMeta`, therefore inheriting from :class:`!ABC` requires the usual precautions regarding metaclass usage, as multiple inheritance may lead to metaclass conflicts. One may also define an abstract base class by passing the metaclass keyword ...
class MyABC(ABC): pass Note that the type of :class:`!ABC` is still :class:`ABCMeta`, therefore inheriting from :class:`!ABC` requires the usual precautions regarding metaclass usage, as multiple inheritance may lead to metaclass conflicts. One may also define an abstract base class by passing the metaclass keyword ...
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.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`classmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`.
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CPython Docs
.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`classmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`.
.. versionadded:: 3.2 .. deprecated:: 3.3 It is now possible to use :class:`classmethod` with :func:`abstractmethod`, making this decorator redundant. A subclass of the built-in :func:`classmethod`, indicating an abstract classmethod. Otherwise it is similar to :func:`abstractmethod`.
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if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator. Returns *cls*, to allow usage as a class decorator.
trusted_official_docs
CPython Docs
if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator. Returns *cls*, to allow usage as a class decorator.
if a class's abstract methods have been implemented or changed after it was created. Usually, this function should be called from within a class decorator. Returns *cls*, to allow usage as a class decorator.
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(Must be defined as a class method.) Check whether *subclass* is considered a subclass of this ABC. This means that you can customize the behavior of :func:`issubclass` further without the need to call :meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the ...
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(Must be defined as a class method.) Check whether *subclass* is considered a subclass of this ABC. This means that you can customize the behavior of :func:`issubclass` further without the need to call :meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the ...
(Must be defined as a class method.) Check whether *subclass* is considered a subclass of this ABC. This means that you can customize the behavior of :func:`issubclass` further without the need to call :meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the ...
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A decorator indicating abstract methods. Using this decorator requires that the class's metaclass is :class:`ABCMeta` or is derived from it. A class that has a metaclass derived from :class:`!ABCMeta` cannot be instantiated unless all of its abstract methods and properties are overridden. The abstract methods can be...
trusted_official_docs
CPython Docs
A decorator indicating abstract methods. Using this decorator requires that the class's metaclass is :class:`ABCMeta` or is derived from it. A class that has a metaclass derived from :class:`!ABCMeta` cannot be instantiated unless all of its abstract methods and properties are overridden. The abstract methods can be...
A decorator indicating abstract methods. Using this decorator requires that the class's metaclass is :class:`ABCMeta` or is derived from it. A class that has a metaclass derived from :class:`!ABCMeta` cannot be instantiated unless all of its abstract methods and properties are overridden. The abstract methods can be...
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@abstractmethod def _get_x(self): ... @abstractmethod def _set_x(self, val): ... x = property(_get_x, _set_x) In order to correctly interoperate with the abstract base class machinery, the descriptor must identify itself as abstract using :attr:`!__isabstractmethod__`. In general, this attribute should be ``True`` i...
trusted_official_docs
CPython Docs
@abstractmethod def _get_x(self): ... @abstractmethod def _set_x(self, val): ... x = property(_get_x, _set_x) In order to correctly interoperate with the abstract base class machinery, the descriptor must identify itself as abstract using :attr:`!__isabstractmethod__`. In general, this attribute should be ``True`` i...
@abstractmethod def _get_x(self): ... @abstractmethod def _set_x(self, val): ... x = property(_get_x, _set_x) In order to correctly interoperate with the abstract base class machinery, the descriptor must identify itself as abstract using :attr:`!__isabstractmethod__`. In general, this attribute should be ``True`` i...
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subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to be overridden in non-abstract derived classes. The :meth:`__subclasshook__` class method defined here says that any class that has an :meth:`~object.__iter__` method in its :attr:`~object.__dic...
trusted_official_docs
CPython Docs
subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to be overridden in non-abstract derived classes. The :meth:`__subclasshook__` class method defined here says that any class that has an :meth:`~object.__iter__` method in its :attr:`~object.__dic...
subclasses. The :meth:`!get_iterator` method is also part of the ``MyIterable`` abstract base class, but it does not have to be overridden in non-abstract derived classes. The :meth:`__subclasshook__` class method defined here says that any class that has an :meth:`~object.__iter__` method in its :attr:`~object.__dic...
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:meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the :meth:`~type.__subclasscheck__` method of the ABC.) This method should return ``True``, ``False`` or :data:`NotImplemented`. If it returns ``True``, the *subclass* is considered a subclass of this ABC. If ...
trusted_official_docs
CPython Docs
:meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the :meth:`~type.__subclasscheck__` method of the ABC.) This method should return ``True``, ``False`` or :data:`NotImplemented`. If it returns ``True``, the *subclass* is considered a subclass of this ABC. If ...
:meth:`register` on every class you want to consider a subclass of the ABC. (This class method is called from the :meth:`~type.__subclasscheck__` method of the ABC.) This method should return ``True``, ``False`` or :data:`NotImplemented`. If it returns ``True``, the *subclass* is considered a subclass of this ABC. If ...
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.. class:: ABC A helper class that has :class:`ABCMeta` as its metaclass. With this class, an abstract base class can be created by simply deriving from :class:`!ABC` avoiding sometimes confusing metaclass usage, for example::
trusted_official_docs
CPython Docs
.. class:: ABC A helper class that has :class:`ABCMeta` as its metaclass. With this class, an abstract base class can be created by simply deriving from :class:`!ABC` avoiding sometimes confusing metaclass usage, for example::
.. class:: ABC A helper class that has :class:`ABCMeta` as its metaclass. With this class, an abstract base class can be created by simply deriving from :class:`!ABC` avoiding sometimes confusing metaclass usage, for example::
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abstract methods can be called using any of the normal 'super' call mechanisms. :func:`!abstractmethod` may be used to declare abstract methods for properties and descriptors. Dynamically adding abstract methods to a class, or attempting to modify the abstraction status of a method or class once it is created, are onl...
trusted_official_docs
CPython Docs
abstract methods can be called using any of the normal 'super' call mechanisms. :func:`!abstractmethod` may be used to declare abstract methods for properties and descriptors. Dynamically adding abstract methods to a class, or attempting to modify the abstraction status of a method or class once it is created, are onl...
abstract methods can be called using any of the normal 'super' call mechanisms. :func:`!abstractmethod` may be used to declare abstract methods for properties and descriptors. Dynamically adding abstract methods to a class, or attempting to modify the abstraction status of a method or class once it is created, are onl...
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.. code-block:: shell-session $ python -m timeit -s "text = 'sample string'; char = 'g'" "char in text" 5000000 loops, best of 5: 0.0877 usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop
trusted_official_docs
CPython Docs
.. code-block:: shell-session $ python -m timeit -s "text = 'sample string'; char = 'g'" "char in text" 5000000 loops, best of 5: 0.0877 usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop
.. code-block:: shell-session $ python -m timeit -s "text = 'sample string'; char = 'g'" "char in text" 5000000 loops, best of 5: 0.0877 usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop
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>>> timeit.timeit(lambda: "-".join(map(str, range(100))), number=10000) 0.19665591977536678 Note however that :func:`.timeit` will automatically determine the number of repetitions only when the command-line interface is used. In the :ref:`timeit-examples` section you can find more advanced examples.
trusted_official_docs
CPython Docs
>>> timeit.timeit(lambda: "-".join(map(str, range(100))), number=10000) 0.19665591977536678 Note however that :func:`.timeit` will automatically determine the number of repetitions only when the command-line interface is used. In the :ref:`timeit-examples` section you can find more advanced examples.
>>> timeit.timeit(lambda: "-".join(map(str, range(100))), number=10000) 0.19665591977536678 Note however that :func:`.timeit` will automatically determine the number of repetitions only when the command-line interface is used. In the :ref:`timeit-examples` section you can find more advanced examples.
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Automatically determine how many times to call :meth:`.timeit`. This is a convenience function that calls :meth:`.timeit` repeatedly so that the total time >= *Timer.target_time* seconds, returning the eventual (number of loops, time taken for that number of loops). It calls :meth:`.timeit` with increasing numbers f...
trusted_official_docs
CPython Docs
Automatically determine how many times to call :meth:`.timeit`. This is a convenience function that calls :meth:`.timeit` repeatedly so that the total time >= *Timer.target_time* seconds, returning the eventual (number of loops, time taken for that number of loops). It calls :meth:`.timeit` with increasing numbers f...
Automatically determine how many times to call :meth:`.timeit`. This is a convenience function that calls :meth:`.timeit` repeatedly so that the total time >= *Timer.target_time* seconds, returning the eventual (number of loops, time taken for that number of loops). It calls :meth:`.timeit` with increasing numbers f...
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try: ... int.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.04215312199994514 >>> s = "if hasattr(int, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.08588060699912603 To give the :mod:`!timeit` module access to functions you define, you can pass a *setup*...
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CPython Docs
try: ... int.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.04215312199994514 >>> s = "if hasattr(int, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.08588060699912603 To give the :mod:`!timeit` module access to functions you define, you can pass a *setup*...
try: ... int.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.04215312199994514 >>> s = "if hasattr(int, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.08588060699912603 To give the :mod:`!timeit` module access to functions you define, you can pass a *setup*...
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:: >>> import timeit >>> # attribute is missing >>> s = """\ ... try: ... str.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.9138244460009446 >>> s = "if hasattr(str, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.5829014980008651 >>> >>> # a...
trusted_official_docs
CPython Docs
:: >>> import timeit >>> # attribute is missing >>> s = """\ ... try: ... str.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.9138244460009446 >>> s = "if hasattr(str, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.5829014980008651 >>> >>> # a...
:: >>> import timeit >>> # attribute is missing >>> s = """\ ... try: ... str.__bool__ ... except AttributeError: ... pass ... """ >>> timeit.timeit(stmt=s, number=100000) 0.9138244460009446 >>> s = "if hasattr(str, '__bool__'): pass" >>> timeit.timeit(stmt=s, number=100000) 0.5829014980008651 >>> >>> # a...
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It calls :meth:`.timeit` with increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... until the time taken is at least *target_time* seconds. If *callback* is given and is not ``None``, it will be called after each trial with two arguments: ``callback(number, time_taken)``.
trusted_official_docs
CPython Docs
It calls :meth:`.timeit` with increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... until the time taken is at least *target_time* seconds. If *callback* is given and is not ``None``, it will be called after each trial with two arguments: ``callback(number, time_taken)``.
It calls :meth:`.timeit` with increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... until the time taken is at least *target_time* seconds. If *callback* is given and is not ``None``, it will be called after each trial with two arguments: ``callback(number, time_taken)``.
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import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250654886] The following examples show how to time expressions that contain multip...
trusted_official_docs
CPython Docs
import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250654886] The following examples show how to time expressions that contain multip...
import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250654886] The following examples show how to time expressions that contain multip...
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>>> import timeit >>> timeit.timeit('"-".join(str(n) for n in range(100))', number=10000) 0.3018611848820001 >>> timeit.timeit('"-".join([str(n) for n in range(100)])', number=10000) 0.2727368790656328 >>> timeit.timeit('"-".join(map(str, range(100)))', number=10000) 0.23702679807320237 A callable can also be passed fr...
trusted_official_docs
CPython Docs
>>> import timeit >>> timeit.timeit('"-".join(str(n) for n in range(100))', number=10000) 0.3018611848820001 >>> timeit.timeit('"-".join([str(n) for n in range(100)])', number=10000) 0.2727368790656328 >>> timeit.timeit('"-".join(map(str, range(100)))', number=10000) 0.23702679807320237 A callable can also be passed fr...
>>> import timeit >>> timeit.timeit('"-".join(str(n) for n in range(100))', number=10000) 0.3018611848820001 >>> timeit.timeit('"-".join([str(n) for n in range(100)])', number=10000) 0.2727368790656328 >>> timeit.timeit('"-".join(map(str, range(100)))', number=10000) 0.23702679807320237 A callable can also be passed fr...
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To give the :mod:`!timeit` module access to functions you define, you can pass a *setup* parameter which contains an import statement:: def test(): """Stupid test function""" L = [i for i in range(100)]
trusted_official_docs
CPython Docs
To give the :mod:`!timeit` module access to functions you define, you can pass a *setup* parameter which contains an import statement:: def test(): """Stupid test function""" L = [i for i in range(100)]
To give the :mod:`!timeit` module access to functions you define, you can pass a *setup* parameter which contains an import statement:: def test(): """Stupid test function""" L = [i for i in range(100)]
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component of the performance of the function being measured. If so, GC can be re-enabled as the first statement in the *setup* string. For example:: timeit.Timer('for i in range(10): oct(i)', 'gc.enable()').timeit()
trusted_official_docs
CPython Docs
component of the performance of the function being measured. If so, GC can be re-enabled as the first statement in the *setup* string. For example:: timeit.Timer('for i in range(10): oct(i)', 'gc.enable()').timeit()
component of the performance of the function being measured. If so, GC can be re-enabled as the first statement in the *setup* string. For example:: timeit.Timer('for i in range(10): oct(i)', 'gc.enable()').timeit()
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the *globals* parameter, which will cause the code to be executed within your current global namespace. This can be more convenient than individually specifying imports:: def f(x): return x**2 def g(x): return x**4 def h(x): return x**8
trusted_official_docs
CPython Docs
the *globals* parameter, which will cause the code to be executed within your current global namespace. This can be more convenient than individually specifying imports:: def f(x): return x**2 def g(x): return x**4 def h(x): return x**8
the *globals* parameter, which will cause the code to be executed within your current global namespace. This can be more convenient than individually specifying imports:: def f(x): return x**2 def g(x): return x**4 def h(x): return x**8
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loops, best of 5: 15.7 usec per loop $ python -m timeit "if hasattr(str, '__bool__'): pass" 50000 loops, best of 5: 4.26 usec per loop $ python -m timeit "try:" " int.__bool__" "except AttributeError:" " pass" 200000 loops, best of 5: 1.43 usec per loop $ python -m timeit "if hasattr(int, '__bool__'): pass" 100000 l...
trusted_official_docs
CPython Docs
loops, best of 5: 15.7 usec per loop $ python -m timeit "if hasattr(str, '__bool__'): pass" 50000 loops, best of 5: 4.26 usec per loop $ python -m timeit "try:" " int.__bool__" "except AttributeError:" " pass" 200000 loops, best of 5: 1.43 usec per loop $ python -m timeit "if hasattr(int, '__bool__'): pass" 100000 l...
loops, best of 5: 15.7 usec per loop $ python -m timeit "if hasattr(str, '__bool__'): pass" 50000 loops, best of 5: 4.26 usec per loop $ python -m timeit "try:" " int.__bool__" "except AttributeError:" " pass" 200000 loops, best of 5: 1.43 usec per loop $ python -m timeit "if hasattr(int, '__bool__'): pass" 100000 l...
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t = Timer(...) # outside the try/except try: t.timeit(...) # or t.repeat(...) except Exception: t.print_exc() The advantage over the standard traceback is that source lines in the compiled template will be displayed. The optional *file* argument directs where the traceback is sent; it defaults to :data:`sys.stderr`.
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CPython Docs
t = Timer(...) # outside the try/except try: t.timeit(...) # or t.repeat(...) except Exception: t.print_exc() The advantage over the standard traceback is that source lines in the compiled template will be displayed. The optional *file* argument directs where the traceback is sent; it defaults to :data:`sys.stderr`.
t = Timer(...) # outside the try/except try: t.timeit(...) # or t.repeat(...) except Exception: t.print_exc() The advantage over the standard traceback is that source lines in the compiled template will be displayed. The optional *file* argument directs where the traceback is sent; it defaults to :data:`sys.stderr`.
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range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 usec per loop This can be achieved from the :ref:`python-interface` with::
trusted_official_docs
CPython Docs
range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 usec per loop This can be achieved from the :ref:`python-interface` with::
range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 usec per loop This can be achieved from the :ref:`python-interface` with::
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.. function:: repeat(stmt='pass', setup='pass', timer=<default timer>, repeat=5, number=1000000, globals=None) Create a :class:`Timer` instance with the given statement, *setup* code and *timer* function and run its :meth:`.repeat` method with the given *repeat* count and *number* executions. The optional *globals* a...
trusted_official_docs
CPython Docs
.. function:: repeat(stmt='pass', setup='pass', timer=<default timer>, repeat=5, number=1000000, globals=None) Create a :class:`Timer` instance with the given statement, *setup* code and *timer* function and run its :meth:`.repeat` method with the given *repeat* count and *number* executions. The optional *globals* a...
.. function:: repeat(stmt='pass', setup='pass', timer=<default timer>, repeat=5, number=1000000, globals=None) Create a :class:`Timer` instance with the given statement, *setup* code and *timer* function and run its :meth:`.repeat` method with the given *repeat* count and *number* executions. The optional *globals* a...
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The same can be done using the :class:`Timer` class and its methods:: >>> import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250...
trusted_official_docs
CPython Docs
The same can be done using the :class:`Timer` class and its methods:: >>> import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250...
The same can be done using the :class:`Timer` class and its methods:: >>> import timeit >>> t = timeit.Timer('char in text', setup='text = "sample string"; char = "g"') >>> t.timeit() 0.3955516149999312 >>> t.repeat() [0.40183617287970225, 0.37027556854118704, 0.38344867356679524, 0.3712595970846668, 0.37866875250...
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as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly. If :option:`-n` is not given, a suitable number of loops is calculated by trying increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... u...
trusted_official_docs
CPython Docs
as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly. If :option:`-n` is not given, a suitable number of loops is calculated by trying increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... u...
as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly. If :option:`-n` is not given, a suitable number of loops is calculated by trying increasing numbers from the sequence 1, 2, 5, 10, 20, 50, ... u...
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When called as a program from the command line, the following form is used:: python -m timeit [-n N] [-r N] [-u U] [-s S] [-p] [-v] [-h] [statement ...]
trusted_official_docs
CPython Docs
When called as a program from the command line, the following form is used:: python -m timeit [-n N] [-r N] [-u U] [-s S] [-p] [-v] [-h] [statement ...]
When called as a program from the command line, the following form is used:: python -m timeit [-n N] [-r N] [-u U] [-s S] [-p] [-v] [-h] [statement ...]
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print a short usage message and exit A multi-line statement may be given by specifying each line as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly.
trusted_official_docs
CPython Docs
print a short usage message and exit A multi-line statement may be given by specifying each line as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly.
print a short usage message and exit A multi-line statement may be given by specifying each line as a separate statement argument; indented lines are possible by enclosing an argument in quotes and using leading spaces. Multiple :option:`-s` options are treated similarly.
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that will then be executed by :meth:`.timeit`. Note that the timing overhead is a little larger in this case because of the extra function calls. .. versionchanged:: 3.5 The optional *globals* parameter was added.
trusted_official_docs
CPython Docs
that will then be executed by :meth:`.timeit`. Note that the timing overhead is a little larger in this case because of the extra function calls. .. versionchanged:: 3.5 The optional *globals* parameter was added.
that will then be executed by :meth:`.timeit`. Note that the timing overhead is a little larger in this case because of the extra function calls. .. versionchanged:: 3.5 The optional *globals* parameter was added.
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probably the only number you should be interested in. After that, you should look at the entire vector and apply common sense rather than statistics. .. versionchanged:: 3.7 Default value of *repeat* changed from 3 to 5.
trusted_official_docs
CPython Docs
probably the only number you should be interested in. After that, you should look at the entire vector and apply common sense rather than statistics. .. versionchanged:: 3.7 Default value of *repeat* changed from 3 to 5.
probably the only number you should be interested in. After that, you should look at the entire vector and apply common sense rather than statistics. .. versionchanged:: 3.7 Default value of *repeat* changed from 3 to 5.
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.. code-block:: shell-session $ python -m timeit "'-'.join(str(n) for n in range(100))" 10000 loops, best of 5: 30.2 usec per loop $ python -m timeit "'-'.join([str(n) for n in range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 ...
trusted_official_docs
CPython Docs
.. code-block:: shell-session $ python -m timeit "'-'.join(str(n) for n in range(100))" 10000 loops, best of 5: 30.2 usec per loop $ python -m timeit "'-'.join([str(n) for n in range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 ...
.. code-block:: shell-session $ python -m timeit "'-'.join(str(n) for n in range(100))" 10000 loops, best of 5: 30.2 usec per loop $ python -m timeit "'-'.join([str(n) for n in range(100)])" 10000 loops, best of 5: 27.5 usec per loop $ python -m timeit "'-'.join(map(str, range(100)))" 10000 loops, best of 5: 23.2 ...
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.. note:: There is a certain baseline overhead associated with executing a pass statement. The code here doesn't try to hide it, but you should be aware of it. The baseline overhead can be measured by invoking the program without arguments, and it might differ between Python versions.
trusted_official_docs
CPython Docs
.. note:: There is a certain baseline overhead associated with executing a pass statement. The code here doesn't try to hide it, but you should be aware of it. The baseline overhead can be measured by invoking the program without arguments, and it might differ between Python versions.
.. note:: There is a certain baseline overhead associated with executing a pass statement. The code here doesn't try to hide it, but you should be aware of it. The baseline overhead can be measured by invoking the program without arguments, and it might differ between Python versions.
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-------------- This module provides a simple way to time small bits of Python code. It has both a :ref:`timeit-command-line-interface` as well as a :ref:`callable <python-interface>` one. It avoids a number of common traps for measuring execution times. See also Tim Peters' introduction to the "Algorithms" chapter in t...
trusted_official_docs
CPython Docs
-------------- This module provides a simple way to time small bits of Python code. It has both a :ref:`timeit-command-line-interface` as well as a :ref:`callable <python-interface>` one. It avoids a number of common traps for measuring execution times. See also Tim Peters' introduction to the "Algorithms" chapter in t...
-------------- This module provides a simple way to time small bits of Python code. It has both a :ref:`timeit-command-line-interface` as well as a :ref:`callable <python-interface>` one. It avoids a number of common traps for measuring execution times. See also Tim Peters' introduction to the "Algorithms" chapter in t...
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measure the execution time of the first statement, use the :meth:`.timeit` method. The :meth:`.repeat` and :meth:`.autorange` methods are convenience methods to call :meth:`.timeit` multiple times. The execution time of *setup* is excluded from the overall timed execution run.
trusted_official_docs
CPython Docs
measure the execution time of the first statement, use the :meth:`.timeit` method. The :meth:`.repeat` and :meth:`.autorange` methods are convenience methods to call :meth:`.timeit` multiple times. The execution time of *setup* is excluded from the overall timed execution run.
measure the execution time of the first statement, use the :meth:`.timeit` method. The :meth:`.repeat` and :meth:`.autorange` methods are convenience methods to call :meth:`.timeit` multiple times. The execution time of *setup* is excluded from the overall timed execution run.
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usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop In the output, there are three fields. The loop count, which tells you how many times the statement body was run per timing loop repetition. The repetition count ('best of 5') which t...
trusted_official_docs
CPython Docs
usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop In the output, there are three fields. The loop count, which tells you how many times the statement body was run per timing loop repetition. The repetition count ('best of 5') which t...
usec per loop $ python -m timeit -s "text = 'sample string'; char = 'g'" "text.find(char)" 1000000 loops, best of 5: 0.342 usec per loop In the output, there are three fields. The loop count, which tells you how many times the statement body was run per timing loop repetition. The repetition count ('best of 5') which t...
python, official-docs, cpython, P0
Local_Trusted_Corpus