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90ebe3a4-16df-4b18-8aaf-994137e6e01e
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.. function:: register_dialect(name, /, dialect='excel', **fmtparams) Associate *dialect* with *name*. *name* must be a string. The dialect can be specified either by passing a sub-class of :class:`Dialect`, or by *fmtparams* keyword arguments, or both, with keyword arguments overriding parameters of the dialect. Fo...
trusted_official_docs
CPython Docs
.. function:: register_dialect(name, /, dialect='excel', **fmtparams) Associate *dialect* with *name*. *name* must be a string. The dialect can be specified either by passing a sub-class of :class:`Dialect`, or by *fmtparams* keyword arguments, or both, with keyword arguments overriding parameters of the dialect. Fo...
.. function:: register_dialect(name, /, dialect='excel', **fmtparams) Associate *dialect* with *name*. *name* must be a string. The dialect can be specified either by passing a sub-class of :class:`Dialect`, or by *fmtparams* keyword arguments, or both, with keyword arguments overriding parameters of the dialect. Fo...
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that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter. The *fieldnames* parameter is a :term:`sequence`. If *fieldnames* is omitted, the values in the first row of file *f* will be used as the fieldnames and will be omit...
trusted_official_docs
CPython Docs
that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter. The *fieldnames* parameter is a :term:`sequence`. If *fieldnames* is omitted, the values in the first row of file *f* will be used as the fieldnames and will be omit...
that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter. The *fieldnames* parameter is a :term:`sequence`. If *fieldnames* is omitted, the values in the first row of file *f* will be used as the fieldnames and will be omit...
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A short usage example:: >>> import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese
trusted_official_docs
CPython Docs
A short usage example:: >>> import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese
A short usage example:: >>> import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese
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Writer Objects -------------- :class:`writer` objects (:class:`DictWriter` instances and objects returned by the :func:`writer` function) have the following public methods. A *row* must be an iterable of strings or numbers for :class:`writer` objects and a dictionary mapping fieldnames to strings or numbers (by passing...
trusted_official_docs
CPython Docs
Writer Objects -------------- :class:`writer` objects (:class:`DictWriter` instances and objects returned by the :func:`writer` function) have the following public methods. A *row* must be an iterable of strings or numbers for :class:`writer` objects and a dictionary mapping fieldnames to strings or numbers (by passing...
Writer Objects -------------- :class:`writer` objects (:class:`DictWriter` instances and objects returned by the :func:`writer` function) have the following public methods. A *row* must be an iterable of strings or numbers for :class:`writer` objects and a dictionary mapping fieldnames to strings or numbers (by passing...
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.. data:: QUOTE_STRINGS Instructs :class:`writer` objects to always place quotes around fields which are strings. This is similar to :data:`QUOTE_NONNUMERIC`, except that if a field value is ``None`` an empty (unquoted) string is written.
trusted_official_docs
CPython Docs
.. data:: QUOTE_STRINGS Instructs :class:`writer` objects to always place quotes around fields which are strings. This is similar to :data:`QUOTE_NONNUMERIC`, except that if a field value is ``None`` an empty (unquoted) string is written.
.. data:: QUOTE_STRINGS Instructs :class:`writer` objects to always place quotes around fields which are strings. This is similar to :data:`QUOTE_NONNUMERIC`, except that if a field value is ``None`` an empty (unquoted) string is written.
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Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional. If the argument passed to *fieldnames* is an iterator, it will be coerced to a :class:`list`.
trusted_official_docs
CPython Docs
Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional. If the argument passed to *fieldnames* is an iterator, it will be coerced to a :class:`list`.
Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional. If the argument passed to *fieldnames* is an iterator, it will be coerced to a :class:`list`.
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.. attribute:: Dialect.quotechar A one-character string used to quote fields containing special characters, such as the *delimiter* or the *quotechar*, or which contain new-line characters (``'\r'``, ``'\n'`` or any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent esca...
trusted_official_docs
CPython Docs
.. attribute:: Dialect.quotechar A one-character string used to quote fields containing special characters, such as the *delimiter* or the *quotechar*, or which contain new-line characters (``'\r'``, ``'\n'`` or any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent esca...
.. attribute:: Dialect.quotechar A one-character string used to quote fields containing special characters, such as the *delimiter* or the *quotechar*, or which contain new-line characters (``'\r'``, ``'\n'`` or any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent esca...
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A short usage example:: >>> import csv >>> with open('eggs.csv', newline='') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print(', '.join(row)) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam
trusted_official_docs
CPython Docs
A short usage example:: >>> import csv >>> with open('eggs.csv', newline='') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print(', '.join(row)) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam
A short usage example:: >>> import csv >>> with open('eggs.csv', newline='') as csvfile: ... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|') ... for row in spamreader: ... print(', '.join(row)) Spam, Spam, Spam, Spam, Spam, Baked Beans Spam, Lovely Spam, Wonderful Spam
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the *dialect* parameter, the programmer can also specify individual formatting parameters, which have the same names as the attributes defined below for the :class:`Dialect` class. Dialects support the following attributes:
trusted_official_docs
CPython Docs
the *dialect* parameter, the programmer can also specify individual formatting parameters, which have the same names as the attributes defined below for the :class:`Dialect` class. Dialects support the following attributes:
the *dialect* parameter, the programmer can also specify individual formatting parameters, which have the same names as the attributes defined below for the :class:`Dialect` class. Dialects support the following attributes:
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CPython Docs
file://datasets/cpython/Doc/library/csv.rst
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.. data:: QUOTE_NONE Instructs :class:`writer` objects to never quote fields. When the current *delimiter*, *quotechar*, *escapechar*, ``'\r'``, ``'\n'`` or any of the characters in *lineterminator* occurs in output data it is preceded by the current *escapechar* character. If *escapechar* is not set, the writer will...
trusted_official_docs
CPython Docs
.. data:: QUOTE_NONE Instructs :class:`writer` objects to never quote fields. When the current *delimiter*, *quotechar*, *escapechar*, ``'\r'``, ``'\n'`` or any of the characters in *lineterminator* occurs in output data it is preceded by the current *escapechar* character. If *escapechar* is not set, the writer will...
.. data:: QUOTE_NONE Instructs :class:`writer` objects to never quote fields. When the current *delimiter*, *quotechar*, *escapechar*, ``'\r'``, ``'\n'`` or any of the characters in *lineterminator* occurs in output data it is preceded by the current *escapechar* character. If *escapechar* is not set, the writer will...
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= 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}') And while the module doesn't directly support parsing strings, it can easily be done::
trusted_official_docs
CPython Docs
= 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}') And while the module doesn't directly support parsing strings, it can easily be done::
= 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}') And while the module doesn't directly support parsing strings, it can easily be done::
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Dialects and Formatting Parameters ---------------------------------- To make it easier to specify the format of input and output records, specific formatting parameters are grouped together into dialects. A dialect is a subclass of the :class:`Dialect` class containing various attributes describing the format of the C...
trusted_official_docs
CPython Docs
Dialects and Formatting Parameters ---------------------------------- To make it easier to specify the format of input and output records, specific formatting parameters are grouped together into dialects. A dialect is a subclass of the :class:`Dialect` class containing various attributes describing the format of the C...
Dialects and Formatting Parameters ---------------------------------- To make it easier to specify the format of input and output records, specific formatting parameters are grouped together into dialects. A dialect is a subclass of the :class:`Dialect` class containing various attributes describing the format of the C...
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Instructs :class:`reader` objects to convert all non-quoted fields to type :class:`float`. .. note:: Some numeric types, such as :class:`bool`, :class:`~fractions.Fraction`, or :class:`~enum.IntEnum`, have a string representation that cannot be converted to :class:`float`. They cannot be read in the :data:`QUOTE_NON...
trusted_official_docs
CPython Docs
Instructs :class:`reader` objects to convert all non-quoted fields to type :class:`float`. .. note:: Some numeric types, such as :class:`bool`, :class:`~fractions.Fraction`, or :class:`~enum.IntEnum`, have a string representation that cannot be converted to :class:`float`. They cannot be read in the :data:`QUOTE_NON...
Instructs :class:`reader` objects to convert all non-quoted fields to type :class:`float`. .. note:: Some numeric types, such as :class:`bool`, :class:`~fractions.Fraction`, or :class:`~enum.IntEnum`, have a string representation that cannot be converted to :class:`float`. They cannot be read in the :data:`QUOTE_NON...
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arguments can be given to override individual formatting parameters in the current dialect. For full details about dialects and formatting parameters, see the :ref:`csv-fmt-params` section. To make it as easy as possible to interface with modules which implement the DB API, the value :const:`None` is written as the e...
trusted_official_docs
CPython Docs
arguments can be given to override individual formatting parameters in the current dialect. For full details about dialects and formatting parameters, see the :ref:`csv-fmt-params` section. To make it as easy as possible to interface with modules which implement the DB API, the value :const:`None` is written as the e...
arguments can be given to override individual formatting parameters in the current dialect. For full details about dialects and formatting parameters, see the :ref:`csv-fmt-params` section. To make it as easy as possible to interface with modules which implement the DB API, the value :const:`None` is written as the e...
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any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent escaping ``'"'`` if *quoting* is set to :const:`QUOTE_NONE`. .. versionchanged:: 3.11 An empty *quotechar* is not allowed.
trusted_official_docs
CPython Docs
any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent escaping ``'"'`` if *quoting* is set to :const:`QUOTE_NONE`. .. versionchanged:: 3.11 An empty *quotechar* is not allowed.
any of the characters in *lineterminator*). It defaults to ``'"'``. Can be set to ``None`` to prevent escaping ``'"'`` if *quoting* is set to :const:`QUOTE_NONE`. .. versionchanged:: 3.11 An empty *quotechar* is not allowed.
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.. class:: unix_dialect() The :class:`unix_dialect` class defines the usual properties of a CSV file generated on UNIX systems, i.e. using ``'\n'`` as line terminator and quoting all fields. It is registered with the dialect name ``'unix'``.
trusted_official_docs
CPython Docs
.. class:: unix_dialect() The :class:`unix_dialect` class defines the usual properties of a CSV file generated on UNIX systems, i.e. using ``'\n'`` as line terminator and quoting all fields. It is registered with the dialect name ``'unix'``.
.. class:: unix_dialect() The :class:`unix_dialect` class defines the usual properties of a CSV file generated on UNIX systems, i.e. using ``'\n'`` as line terminator and quoting all fields. It is registered with the dialect name ``'unix'``.
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to ``None``). If a non-blank row has fewer fields than fieldnames, the missing values are filled-in with the value of *restval* (which defaults to ``None``). All other optional or keyword arguments are passed to the underlying :class:`reader` instance.
trusted_official_docs
CPython Docs
to ``None``). If a non-blank row has fewer fields than fieldnames, the missing values are filled-in with the value of *restval* (which defaults to ``None``). All other optional or keyword arguments are passed to the underlying :class:`reader` instance.
to ``None``). If a non-blank row has fewer fields than fieldnames, the missing values are filled-in with the value of *restval* (which defaults to ``None``). All other optional or keyword arguments are passed to the underlying :class:`reader` instance.
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.. attribute:: Dialect.doublequote Controls how instances of *quotechar* appearing inside a field should themselves be quoted. When :const:`True`, the character is doubled. When :const:`False`, the *escapechar* is used as a prefix to the *quotechar*. It defaults to :const:`True`.
trusted_official_docs
CPython Docs
.. attribute:: Dialect.doublequote Controls how instances of *quotechar* appearing inside a field should themselves be quoted. When :const:`True`, the character is doubled. When :const:`False`, the *escapechar* is used as a prefix to the *quotechar*. It defaults to :const:`True`.
.. attribute:: Dialect.doublequote Controls how instances of *quotechar* appearing inside a field should themselves be quoted. When :const:`True`, the character is doubled. When :const:`False`, the *escapechar* is used as a prefix to the *quotechar*. It defaults to :const:`True`.
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.. class:: DictReader(f, fieldnames=None, restkey=None, restval=None, \ dialect='excel', *args, **kwds) Create an object that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter.
trusted_official_docs
CPython Docs
.. class:: DictReader(f, fieldnames=None, restkey=None, restval=None, \ dialect='excel', *args, **kwds) Create an object that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter.
.. class:: DictReader(f, fieldnames=None, restkey=None, restval=None, \ dialect='excel', *args, **kwds) Create an object that operates like a regular reader but maps the information in each row to a :class:`dict` whose keys are given by the optional *fieldnames* parameter.
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import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese >>> print(row) {'first_name': 'John', 'last_name': 'Cleese'}
trusted_official_docs
CPython Docs
import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese >>> print(row) {'first_name': 'John', 'last_name': 'Cleese'}
import csv >>> with open('names.csv', newline='') as csvfile: ... reader = csv.DictReader(csvfile) ... for row in reader: ... print(row['first_name'], row['last_name']) ... Eric Idle John Cleese >>> print(row) {'first_name': 'John', 'last_name': 'Cleese'}
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it is set to ``'ignore'``, extra values in the dictionary are ignored. Any other optional or keyword arguments are passed to the underlying :class:`writer` instance. Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional.
trusted_official_docs
CPython Docs
it is set to ``'ignore'``, extra values in the dictionary are ignored. Any other optional or keyword arguments are passed to the underlying :class:`writer` instance. Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional.
it is set to ``'ignore'``, extra values in the dictionary are ignored. Any other optional or keyword arguments are passed to the underlying :class:`writer` instance. Note that unlike the :class:`DictReader` class, the *fieldnames* parameter of the :class:`DictWriter` class is not optional.
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.. data:: QUOTE_NOTNULL Instructs :class:`writer` objects to quote all fields which are not ``None``. This is similar to :data:`QUOTE_ALL`, except that if a field value is ``None`` an empty (unquoted) string is written.
trusted_official_docs
CPython Docs
.. data:: QUOTE_NOTNULL Instructs :class:`writer` objects to quote all fields which are not ``None``. This is similar to :data:`QUOTE_ALL`, except that if a field value is ``None`` an empty (unquoted) string is written.
.. data:: QUOTE_NOTNULL Instructs :class:`writer` objects to quote all fields which are not ``None``. This is similar to :data:`QUOTE_ALL`, except that if a field value is ``None`` an empty (unquoted) string is written.
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file://datasets/cpython/Doc/library/csv.rst
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ce4608c4-a14b-4139-ac99-bb1402e602b2
19,899
supabase-export-v2
32d1d5ece63cf740
csv with open('eggs.csv', 'w', newline='') as csvfile: spamwriter = csv.writer(csvfile, delimiter=' ', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(['Spam'] * 5 + ['Baked Beans']) spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam']) .. function:: register_dialect(name, /, dialect='excel', **f...
trusted_official_docs
CPython Docs
csv with open('eggs.csv', 'w', newline='') as csvfile: spamwriter = csv.writer(csvfile, delimiter=' ', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(['Spam'] * 5 + ['Baked Beans']) spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam']) .. function:: register_dialect(name, /, dialect='excel', **f...
csv with open('eggs.csv', 'w', newline='') as csvfile: spamwriter = csv.writer(csvfile, delimiter=' ', quotechar='|', quoting=csv.QUOTE_MINIMAL) spamwriter.writerow(['Spam'] * 5 + ['Baked Beans']) spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam']) .. function:: register_dialect(name, /, dialect='excel', **f...
python, official-docs, cpython, P0
Local_Trusted_Corpus
dfbf8465-78e2-4e9a-b06e-16f831227347
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
19,929
supabase-export-v2
70a86ecc9a5acec4
.. class:: Dialect The :class:`Dialect` class is a container class whose attributes contain information for how to handle doublequotes, whitespace, delimiters, etc. Due to the lack of a strict CSV specification, different applications produce subtly different CSV data. :class:`Dialect` instances define how :class:`r...
trusted_official_docs
CPython Docs
.. class:: Dialect The :class:`Dialect` class is a container class whose attributes contain information for how to handle doublequotes, whitespace, delimiters, etc. Due to the lack of a strict CSV specification, different applications produce subtly different CSV data. :class:`Dialect` instances define how :class:`r...
.. class:: Dialect The :class:`Dialect` class is a container class whose attributes contain information for how to handle doublequotes, whitespace, delimiters, etc. Due to the lack of a strict CSV specification, different applications produce subtly different CSV data. :class:`Dialect` instances define how :class:`r...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e2242eb0-ae33-42d1-91d8-ba5a244a2232
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
19,922
supabase-export-v2
9c2edbae51db8245
.. class:: DictWriter(f, fieldnames, restval='', extrasaction='raise', \ dialect='excel', *args, **kwds) Create an object which operates like a regular writer but maps dictionaries onto output rows. The *fieldnames* parameter is a :mod:`sequence <collections.abc>` of keys that identify the order in which values in th...
trusted_official_docs
CPython Docs
.. class:: DictWriter(f, fieldnames, restval='', extrasaction='raise', \ dialect='excel', *args, **kwds) Create an object which operates like a regular writer but maps dictionaries onto output rows. The *fieldnames* parameter is a :mod:`sequence <collections.abc>` of keys that identify the order in which values in th...
.. class:: DictWriter(f, fieldnames, restval='', extrasaction='raise', \ dialect='excel', *args, **kwds) Create an object which operates like a regular writer but maps dictionaries onto output rows. The *fieldnames* parameter is a :mod:`sequence <collections.abc>` of keys that identify the order in which values in th...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e2c6dcac-df1b-487f-a6d6-e46aedee83ad
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
20,035
supabase-export-v2
906cd61ce28cea40
import csv with open('some.csv', 'w', newline='') as f: writer = csv.writer(f) writer.writerows(someiterable) Since :func:`open` is used to open a CSV file for reading, the file will by default be decoded into unicode using the system default encoding (see :func:`locale.getencoding`). To decode a file using a different...
trusted_official_docs
CPython Docs
import csv with open('some.csv', 'w', newline='') as f: writer = csv.writer(f) writer.writerows(someiterable) Since :func:`open` is used to open a CSV file for reading, the file will by default be decoded into unicode using the system default encoding (see :func:`locale.getencoding`). To decode a file using a different...
import csv with open('some.csv', 'w', newline='') as f: writer = csv.writer(f) writer.writerows(someiterable) Since :func:`open` is used to open a CSV file for reading, the file will by default be decoded into unicode using the system default encoding (see :func:`locale.getencoding`). To decode a file using a different...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e32fb7ac-c093-45a8-95b9-3dca9385f6f4
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
20,006
supabase-export-v2
c068d5418aa3e4fb
returned from :func:`reader`) or a dict (if it is a :class:`DictReader` instance), parsed according to the current :class:`Dialect`. Usually you should call this as ``next(reader)``. Reader objects have the following public attributes:
trusted_official_docs
CPython Docs
returned from :func:`reader`) or a dict (if it is a :class:`DictReader` instance), parsed according to the current :class:`Dialect`. Usually you should call this as ``next(reader)``. Reader objects have the following public attributes:
returned from :func:`reader`) or a dict (if it is a :class:`DictReader` instance), parsed according to the current :class:`Dialect`. Usually you should call this as ``next(reader)``. Reader objects have the following public attributes:
python, official-docs, cpython, P0
Local_Trusted_Corpus
e38d361a-e58e-45a3-8a02-a70262496ebe
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
19,895
supabase-export-v2
e939aa767c9eacee
.. function:: writer(csvfile, /, dialect='excel', **fmtparams) Return a writer object responsible for converting the user's data into delimited strings on the given file-like object. *csvfile* can be any object with a :meth:`~io.TextIOBase.write` method. If *csvfile* is a file object, it should be opened with ``newl...
trusted_official_docs
CPython Docs
.. function:: writer(csvfile, /, dialect='excel', **fmtparams) Return a writer object responsible for converting the user's data into delimited strings on the given file-like object. *csvfile* can be any object with a :meth:`~io.TextIOBase.write` method. If *csvfile* is a file object, it should be opened with ``newl...
.. function:: writer(csvfile, /, dialect='excel', **fmtparams) Return a writer object responsible for converting the user's data into delimited strings on the given file-like object. *csvfile* can be any object with a :meth:`~io.TextIOBase.write` method. If *csvfile* is a file object, it should be opened with ``newl...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e4a7f12c-a09d-4143-b70f-f71d3a76e1d5
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
20,037
supabase-export-v2
7200224b7d3b8bb0
import csv with open('some.csv', newline='', encoding='utf-8') as f: reader = csv.reader(f) for row in reader: print(row) The same applies to writing in something other than the system default encoding: specify the encoding argument when opening the output file.
trusted_official_docs
CPython Docs
import csv with open('some.csv', newline='', encoding='utf-8') as f: reader = csv.reader(f) for row in reader: print(row) The same applies to writing in something other than the system default encoding: specify the encoding argument when opening the output file.
import csv with open('some.csv', newline='', encoding='utf-8') as f: reader = csv.reader(f) for row in reader: print(row) The same applies to writing in something other than the system default encoding: specify the encoding argument when opening the output file.
python, official-docs, cpython, P0
Local_Trusted_Corpus
f5ee3a90-147d-4ddf-8b8d-0c8c469eb9a2
CPython Docs
file://datasets/cpython/Doc/library/csv.rst
unknown
ce4608c4-a14b-4139-ac99-bb1402e602b2
20,041
supabase-export-v2
aab136b261d1191a
A slightly more advanced use of the reader --- catching and reporting errors:: import csv, sys filename = 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}')
trusted_official_docs
CPython Docs
A slightly more advanced use of the reader --- catching and reporting errors:: import csv, sys filename = 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}')
A slightly more advanced use of the reader --- catching and reporting errors:: import csv, sys filename = 'some.csv' with open(filename, newline='') as f: reader = csv.reader(f) try: for row in reader: print(row) except csv.Error as e: sys.exit(f'file {filename}, line {reader.line_num}: {e}')
python, official-docs, cpython, P0
Local_Trusted_Corpus
129010b0-5c60-4c5c-adc8-29c8feb8476d
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,055
supabase-export-v2
c3efdafadbf02c71
no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in:: from xml.dom.pulldom import parse from xml.sax import make_parser from xml.sax.handler import feature_external_ges
trusted_official_docs
CPython Docs
no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in:: from xml.dom.pulldom import parse from xml.sax import make_parser from xml.sax.handler import feature_external_ges
no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in:: from xml.dom.pulldom import parse from xml.sax import make_parser from xml.sax.handler import feature_external_ges
python, official-docs, cpython, P0
Local_Trusted_Corpus
424236a1-fcdc-4d0b-9b4b-44f42bb0650c
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,084
supabase-export-v2
692bb5505a68bfc9
from xml.dom import pulldom xml = '<html><title>Foo</title> <p>Some text <div>and more</div></p> </html>' doc = pulldom.parseString(xml) for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'p': # Following statement only prints '<p/>' print(node.toxml()) doc.expandNode(node) # Following...
trusted_official_docs
CPython Docs
from xml.dom import pulldom xml = '<html><title>Foo</title> <p>Some text <div>and more</div></p> </html>' doc = pulldom.parseString(xml) for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'p': # Following statement only prints '<p/>' print(node.toxml()) doc.expandNode(node) # Following...
from xml.dom import pulldom xml = '<html><title>Foo</title> <p>Some text <div>and more</div></p> </html>' doc = pulldom.parseString(xml) for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'p': # Following statement only prints '<p/>' print(node.toxml()) doc.expandNode(node) # Following...
python, official-docs, cpython, P0
Local_Trusted_Corpus
4f56338e-73e0-4d78-b3d9-079c8d8dfd1d
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,062
supabase-export-v2
4814363d183158d0
``node`` is an object of type :class:`xml.dom.minidom.Document`, :class:`xml.dom.minidom.Element` or :class:`xml.dom.minidom.Text`. Since the document is treated as a "flat" stream of events, the document "tree" is implicitly traversed and the desired elements are found regardless of their depth in the tree. In other w...
trusted_official_docs
CPython Docs
``node`` is an object of type :class:`xml.dom.minidom.Document`, :class:`xml.dom.minidom.Element` or :class:`xml.dom.minidom.Text`. Since the document is treated as a "flat" stream of events, the document "tree" is implicitly traversed and the desired elements are found regardless of their depth in the tree. In other w...
``node`` is an object of type :class:`xml.dom.minidom.Document`, :class:`xml.dom.minidom.Element` or :class:`xml.dom.minidom.Text`. Since the document is treated as a "flat" stream of events, the document "tree" is implicitly traversed and the desired elements are found regardless of their depth in the tree. In other w...
python, official-docs, cpython, P0
Local_Trusted_Corpus
98f3c2b8-8ad5-41ca-aecb-73636f295c7a
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,054
supabase-export-v2
bfc30aee6b07951c
.. versionchanged:: 3.7.1 The SAX parser no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in::
trusted_official_docs
CPython Docs
.. versionchanged:: 3.7.1 The SAX parser no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in::
.. versionchanged:: 3.7.1 The SAX parser no longer processes general external entities by default to increase security by default. To enable processing of external entities, pass a custom parser instance in::
python, official-docs, cpython, P0
Local_Trusted_Corpus
aae5e0b7-4090-4fe2-bf5d-32aa7c8e7fac
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,050
supabase-export-v2
bb81c5be02ab47e8
-------------- The :mod:`!xml.dom.pulldom` module provides a "pull parser" which can also be asked to produce DOM-accessible fragments of the document where necessary. The basic concept involves pulling "events" from a stream of incoming XML and processing them. In contrast to SAX which also employs an event-driven pro...
trusted_official_docs
CPython Docs
-------------- The :mod:`!xml.dom.pulldom` module provides a "pull parser" which can also be asked to produce DOM-accessible fragments of the document where necessary. The basic concept involves pulling "events" from a stream of incoming XML and processing them. In contrast to SAX which also employs an event-driven pro...
-------------- The :mod:`!xml.dom.pulldom` module provides a "pull parser" which can also be asked to produce DOM-accessible fragments of the document where necessary. The basic concept involves pulling "events" from a stream of incoming XML and processing them. In contrast to SAX which also employs an event-driven pro...
python, official-docs, cpython, P0
Local_Trusted_Corpus
c22f809f-55bd-4011-bfcc-778142f7741d
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,059
supabase-export-v2
fe68369da5be7df7
doc = pulldom.parse('sales_items.xml') for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'item': if int(node.getAttribute('price')) > 50: doc.expandNode(node) print(node.toxml()) ``event`` is a constant and can be one of:
trusted_official_docs
CPython Docs
doc = pulldom.parse('sales_items.xml') for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'item': if int(node.getAttribute('price')) > 50: doc.expandNode(node) print(node.toxml()) ``event`` is a constant and can be one of:
doc = pulldom.parse('sales_items.xml') for event, node in doc: if event == pulldom.START_ELEMENT and node.tagName == 'item': if int(node.getAttribute('price')) > 50: doc.expandNode(node) print(node.toxml()) ``event`` is a constant and can be one of:
python, official-docs, cpython, P0
Local_Trusted_Corpus
df97fa08-bb02-455b-b28b-4f31bf213972
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,080
supabase-export-v2
db00a4694d55f0ca
.. method:: getEvent() Return a tuple containing *event* and the current *node* as :class:`xml.dom.minidom.Document` if event equals :data:`START_DOCUMENT`, :class:`xml.dom.minidom.Element` if event equals :data:`START_ELEMENT` or :data:`END_ELEMENT` or :class:`xml.dom.minidom.Text` if event equals :data:`CHARACTER...
trusted_official_docs
CPython Docs
.. method:: getEvent() Return a tuple containing *event* and the current *node* as :class:`xml.dom.minidom.Document` if event equals :data:`START_DOCUMENT`, :class:`xml.dom.minidom.Element` if event equals :data:`START_ELEMENT` or :data:`END_ELEMENT` or :class:`xml.dom.minidom.Text` if event equals :data:`CHARACTER...
.. method:: getEvent() Return a tuple containing *event* and the current *node* as :class:`xml.dom.minidom.Document` if event equals :data:`START_DOCUMENT`, :class:`xml.dom.minidom.Element` if event equals :data:`START_ELEMENT` or :data:`END_ELEMENT` or :class:`xml.dom.minidom.Text` if event equals :data:`CHARACTER...
python, official-docs, cpython, P0
Local_Trusted_Corpus
ecc01a20-769c-4e1a-9b0f-054556fbf60f
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,069
supabase-export-v2
f506d54e28747311
change the document handler of the parser and activate namespace support; other parser configuration (like setting an entity resolver) must have been done in advance. If you have XML in a string, you can use the :func:`parseString` function instead:
trusted_official_docs
CPython Docs
change the document handler of the parser and activate namespace support; other parser configuration (like setting an entity resolver) must have been done in advance. If you have XML in a string, you can use the :func:`parseString` function instead:
change the document handler of the parser and activate namespace support; other parser configuration (like setting an entity resolver) must have been done in advance. If you have XML in a string, you can use the :func:`parseString` function instead:
python, official-docs, cpython, P0
Local_Trusted_Corpus
f353a1b4-c023-4617-8aab-584e511ba1d1
CPython Docs
file://datasets/cpython/Doc/library/xml.dom.pulldom.rst
unknown
7cd61e4e-ab45-4885-a8a6-d4dbc87f3c70
20,068
supabase-export-v2
b8350522022d8e52
.. function:: parse(stream_or_string, parser=None, bufsize=None) Return a :class:`DOMEventStream` from the given input. *stream_or_string* may be either a file name, or a file-like object. *parser*, if given, must be an :class:`~xml.sax.xmlreader.XMLReader` object. This function will change the document handler of t...
trusted_official_docs
CPython Docs
.. function:: parse(stream_or_string, parser=None, bufsize=None) Return a :class:`DOMEventStream` from the given input. *stream_or_string* may be either a file name, or a file-like object. *parser*, if given, must be an :class:`~xml.sax.xmlreader.XMLReader` object. This function will change the document handler of t...
.. function:: parse(stream_or_string, parser=None, bufsize=None) Return a :class:`DOMEventStream` from the given input. *stream_or_string* may be either a file name, or a file-like object. *parser*, if given, must be an :class:`~xml.sax.xmlreader.XMLReader` object. This function will change the document handler of t...
python, official-docs, cpython, P0
Local_Trusted_Corpus
0f4192b1-8f86-40be-81ba-676905ae3511
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
unknown
2cab9431-b629-4b36-955c-c722c297187c
20,135
supabase-export-v2
da83ea2400e38a6a
raw_shm = smm.SharedMemory(size=128) >>> another_sl = smm.ShareableList('alpha') >>> another_sl ShareableList(['a', 'l', 'p', 'h', 'a'], name='psm_6572_12221') >>> smm.shutdown() # Calls unlink() on sl, raw_shm, and another_sl The following example depicts a potentially more convenient pattern for using :class:`~multip...
trusted_official_docs
CPython Docs
raw_shm = smm.SharedMemory(size=128) >>> another_sl = smm.ShareableList('alpha') >>> another_sl ShareableList(['a', 'l', 'p', 'h', 'a'], name='psm_6572_12221') >>> smm.shutdown() # Calls unlink() on sl, raw_shm, and another_sl The following example depicts a potentially more convenient pattern for using :class:`~multip...
raw_shm = smm.SharedMemory(size=128) >>> another_sl = smm.ShareableList('alpha') >>> another_sl ShareableList(['a', 'l', 'p', 'h', 'a'], name='psm_6572_12221') >>> smm.shutdown() # Calls unlink() on sl, raw_shm, and another_sl The following example depicts a potentially more convenient pattern for using :class:`~multip...
python, official-docs, cpython, P0
Local_Trusted_Corpus
0f941fa6-6396-44c4-bcdc-a01227e01505
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
unknown
2cab9431-b629-4b36-955c-c722c297187c
20,140
supabase-export-v2
84adfe682889a556
.. class:: ShareableList(sequence=None, *, name=None) Provide a mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types:
trusted_official_docs
CPython Docs
.. class:: ShareableList(sequence=None, *, name=None) Provide a mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types:
.. class:: ShareableList(sequence=None, *, name=None) Provide a mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types:
python, official-docs, cpython, P0
Local_Trusted_Corpus
0fa34484-2065-44d3-9c0f-528c0aeac06b
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
unknown
2cab9431-b629-4b36-955c-c722c297187c
20,107
supabase-export-v2
fc6716a526a6f729
called in any order, but trying to access data inside a shared memory block after :meth:`unlink` may result in memory access errors, depending on platform. This method has no effect on Windows, where the only way to delete a shared memory block is to close all handles.
trusted_official_docs
CPython Docs
called in any order, but trying to access data inside a shared memory block after :meth:`unlink` may result in memory access errors, depending on platform. This method has no effect on Windows, where the only way to delete a shared memory block is to close all handles.
called in any order, but trying to access data inside a shared memory block after :meth:`unlink` may result in memory access errors, depending on platform. This method has no effect on Windows, where the only way to delete a shared memory block is to close all handles.
python, official-docs, cpython, P0
Local_Trusted_Corpus
18d3e720-e2ac-4508-a0a3-5b00bfc25b63
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
unknown
2cab9431-b629-4b36-955c-c722c297187c
20,122
supabase-export-v2
c5bac373036e02b3
>>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close() >>> # Clean up from within the first Python shell >>> del b # Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and rel...
trusted_official_docs
CPython Docs
>>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close() >>> # Clean up from within the first Python shell >>> del b # Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and rel...
>>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close() >>> # Clean up from within the first Python shell >>> del b # Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and rel...
python, official-docs, cpython, P0
Local_Trusted_Corpus
19edaf25-c12d-4a2f-8853-ea764bbe2ac0
CPython Docs
file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
unknown
2cab9431-b629-4b36-955c-c722c297187c
20,092
supabase-export-v2
a99fb6b05de59a13
-------------- This module provides a class, :class:`SharedMemory`, for the allocation and management of shared memory to be accessed by one or more processes on a multicore or symmetric multiprocessor (SMP) machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :clas...
trusted_official_docs
CPython Docs
-------------- This module provides a class, :class:`SharedMemory`, for the allocation and management of shared memory to be accessed by one or more processes on a multicore or symmetric multiprocessor (SMP) machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :clas...
-------------- This module provides a class, :class:`SharedMemory`, for the allocation and management of shared memory to be accessed by one or more processes on a multicore or symmetric multiprocessor (SMP) machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :clas...
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The following example demonstrates low-level use of :class:`SharedMemory` instances:: >>> from multiprocessing import shared_memory >>> shm_a = shared_memory.SharedMemory(create=True, size=10) >>> type(shm_a.buf) <class 'memoryview'> >>> buffer = shm_a.buf >>> len(buffer) 10 >>> buffer[:4] = bytearray([22, 33, 4...
trusted_official_docs
CPython Docs
The following example demonstrates low-level use of :class:`SharedMemory` instances:: >>> from multiprocessing import shared_memory >>> shm_a = shared_memory.SharedMemory(create=True, size=10) >>> type(shm_a.buf) <class 'memoryview'> >>> buffer = shm_a.buf >>> len(buffer) 10 >>> buffer[:4] = bytearray([22, 33, 4...
The following example demonstrates low-level use of :class:`SharedMemory` instances:: >>> from multiprocessing import shared_memory >>> shm_a = shared_memory.SharedMemory(create=True, size=10) >>> type(shm_a.buf) <class 'memoryview'> >>> buffer = shm_a.buf >>> len(buffer) 10 >>> buffer[:4] = bytearray([22, 33, 4...
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>>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> sl[0] = -1 >>> deserialized_sl[1] = -2 >>> list(sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9] >>> list(deserialized_sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9]
trusted_official_docs
CPython Docs
>>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> sl[0] = -1 >>> deserialized_sl[1] = -2 >>> list(sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9] >>> list(deserialized_sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9]
>>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> sl[0] = -1 >>> deserialized_sl[1] = -2 >>> list(sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9] >>> list(deserialized_sl) [-1, -2, 2, 3, 4, 5, 6, 7, 8, 9]
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>>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888]) >>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close()
trusted_official_docs
CPython Docs
>>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888]) >>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close()
>>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888]) >>> # Clean up from within the second Python shell >>> del c # Unnecessary; merely emphasizing the array is no longer used >>> existing_shm.close()
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Local_Trusted_Corpus
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file://datasets/cpython/Doc/library/multiprocessing.shared_memory.rst
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deserialized object has the same unique name and is just attached to an existing object with the same name (if the object is still alive): >>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
trusted_official_docs
CPython Docs
deserialized object has the same unique name and is just attached to an existing object with the same name (if the object is still alive): >>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
deserialized object has the same unique name and is just attached to an existing object with the same name (if the object is still alive): >>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
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CPython Docs
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.. doctest:: :options: +SKIP >>> with SharedMemoryManager() as smm: ... sl = smm.ShareableList(range(2000)) ... # Divide the work among two processes, storing partial results in sl ... p1 = Process(target=do_work, args=(sl, 0, 1000)) ... p2 = Process(target=do_work, args=(sl, 1000, 2000)) ... p1.start() ... p2.st...
trusted_official_docs
CPython Docs
.. doctest:: :options: +SKIP >>> with SharedMemoryManager() as smm: ... sl = smm.ShareableList(range(2000)) ... # Divide the work among two processes, storing partial results in sl ... p1 = Process(target=do_work, args=(sl, 0, 1000)) ... p2 = Process(target=do_work, args=(sl, 1000, 2000)) ... p1.start() ... p2.st...
.. doctest:: :options: +SKIP >>> with SharedMemoryManager() as smm: ... sl = smm.ShareableList(range(2000)) ... # Divide the work among two processes, storing partial results in sl ... p1 = Process(target=do_work, args=(sl, 0, 1000)) ... p2 = Process(target=do_work, args=(sl, 1000, 2000)) ... p1.start() ... p2.st...
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.. doctest:: :options: +SKIP >>> # In the first Python interactive shell >>> import numpy as np >>> a = np.array([1, 1, 2, 3, 5, 8]) # Start with an existing NumPy array >>> from multiprocessing import shared_memory >>> shm = shared_memory.SharedMemory(create=True, size=a.nbytes) >>> # Now create a NumPy array bac...
trusted_official_docs
CPython Docs
.. doctest:: :options: +SKIP >>> # In the first Python interactive shell >>> import numpy as np >>> a = np.array([1, 1, 2, 3, 5, 8]) # Start with an existing NumPy array >>> from multiprocessing import shared_memory >>> shm = shared_memory.SharedMemory(create=True, size=a.nbytes) >>> # Now create a NumPy array bac...
.. doctest:: :options: +SKIP >>> # In the first Python interactive shell >>> import numpy as np >>> a = np.array([1, 1, 2, 3, 5, 8]) # Start with an existing NumPy array >>> from multiprocessing import shared_memory >>> shm = shared_memory.SharedMemory(create=True, size=a.nbytes) >>> # Now create a NumPy array bac...
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A subclass of :class:`multiprocessing.managers.BaseManager` which can be used for the management of shared memory blocks across processes. A call to :meth:`~multiprocessing.managers.BaseManager.start` on a :class:`!SharedMemoryManager` instance causes a new process to be started. This new process's sole purpose is to ...
trusted_official_docs
CPython Docs
A subclass of :class:`multiprocessing.managers.BaseManager` which can be used for the management of shared memory blocks across processes. A call to :meth:`~multiprocessing.managers.BaseManager.start` on a :class:`!SharedMemoryManager` instance causes a new process to be started. This new process's sole purpose is to ...
A subclass of :class:`multiprocessing.managers.BaseManager` which can be used for the management of shared memory blocks across processes. A call to :meth:`~multiprocessing.managers.BaseManager.start` on a :class:`!SharedMemoryManager` instance causes a new process to be started. This new process's sole purpose is to ...
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should be called. When a shared memory block is no longer needed by any process, the :meth:`unlink` method should be called to ensure proper cleanup. :param name: The unique name for the requested shared memory, specified as a string. When creating a new shared memory block, if ``None`` (the default) is supplied for ...
trusted_official_docs
CPython Docs
should be called. When a shared memory block is no longer needed by any process, the :meth:`unlink` method should be called to ensure proper cleanup. :param name: The unique name for the requested shared memory, specified as a string. When creating a new shared memory block, if ``None`` (the default) is supplied for ...
should be called. When a shared memory block is no longer needed by any process, the :meth:`unlink` method should be called to ensure proper cleanup. :param name: The unique name for the requested shared memory, specified as a string. When creating a new shared memory block, if ``None`` (the default) is supplied for ...
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Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and release the shared memory block at the very end .. class:: SharedMemoryManager([address[, authkey]]) :module: multiprocessing.managers
trusted_official_docs
CPython Docs
Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and release the shared memory block at the very end .. class:: SharedMemoryManager([address[, authkey]]) :module: multiprocessing.managers
Unnecessary; merely emphasizing the array is no longer used >>> shm.close() >>> shm.unlink() # Free and release the shared memory block at the very end .. class:: SharedMemoryManager([address[, authkey]]) :module: multiprocessing.managers
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.. doctest:: :options: +SKIP >>> from multiprocessing.managers import SharedMemoryManager >>> smm = SharedMemoryManager() >>> smm.start() # Start the process that manages the shared memory blocks >>> sl = smm.ShareableList(range(4)) >>> sl ShareableList([0, 1, 2, 3], name='psm_6572_7512') >>> raw_shm = smm.Shared...
trusted_official_docs
CPython Docs
.. doctest:: :options: +SKIP >>> from multiprocessing.managers import SharedMemoryManager >>> smm = SharedMemoryManager() >>> smm.start() # Start the process that manages the shared memory blocks >>> sl = smm.ShareableList(range(4)) >>> sl ShareableList([0, 1, 2, 3], name='psm_6572_7512') >>> raw_shm = smm.Shared...
.. doctest:: :options: +SKIP >>> from multiprocessing.managers import SharedMemoryManager >>> smm = SharedMemoryManager() >>> smm.start() # Start the process that manages the shared memory blocks >>> sl = smm.ShareableList(range(4)) >>> sl ShareableList([0, 1, 2, 3], name='psm_6572_7512') >>> raw_shm = smm.Shared...
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via memory can provide significant performance benefits compared to sharing data via disk or socket or other communications requiring the serialization/deserialization and copying of data. .. class:: SharedMemory(name=None, create=False, size=0, *, track=True)
trusted_official_docs
CPython Docs
via memory can provide significant performance benefits compared to sharing data via disk or socket or other communications requiring the serialization/deserialization and copying of data. .. class:: SharedMemory(name=None, create=False, size=0, *, track=True)
via memory can provide significant performance benefits compared to sharing data via disk or socket or other communications requiring the serialization/deserialization and copying of data. .. class:: SharedMemory(name=None, create=False, size=0, *, track=True)
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lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`, etc.) and do not support the dynamic creation of new :class:`!ShareableList` instances via slicing. *sequence* is used in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing...
trusted_official_docs
CPython Docs
lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`, etc.) and do not support the dynamic creation of new :class:`!ShareableList` instances via slicing. *sequence* is used in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing...
lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`, etc.) and do not support the dynamic creation of new :class:`!ShareableList` instances via slicing. *sequence* is used in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing...
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This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:class:`ShareableList`) backed by shared memory. Refer to :class:`~multiprocessing.managers.BaseManager` for a description of the inherited *address* and *authkey* optional input arguments and ho...
trusted_official_docs
CPython Docs
This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:class:`ShareableList`) backed by shared memory. Refer to :class:`~multiprocessing.managers.BaseManager` for a description of the inherited *address* and *authkey* optional input arguments and ho...
This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:class:`ShareableList`) backed by shared memory. Refer to :class:`~multiprocessing.managers.BaseManager` for a description of the inherited *address* and *authkey* optional input arguments and ho...
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machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :class:`~multiprocessing.managers.BaseManager` subclass, :class:`~multiprocessing.managers.SharedMemoryManager`, is also provided in the :mod:`multiprocessing.managers` module. In this module, shared memory refers...
trusted_official_docs
CPython Docs
machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :class:`~multiprocessing.managers.BaseManager` subclass, :class:`~multiprocessing.managers.SharedMemoryManager`, is also provided in the :mod:`multiprocessing.managers` module. In this module, shared memory refers...
machine. To assist with the life-cycle management of shared memory especially across distinct processes, a :class:`~multiprocessing.managers.BaseManager` subclass, :class:`~multiprocessing.managers.SharedMemoryManager`, is also provided in the :mod:`multiprocessing.managers` module. In this module, shared memory refers...
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following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind it: >>> b = shared_memory.ShareableList(range(5)) # In a first process >>> c = shared_memory.ShareableList(name=b.shm.name) # In a second process >>> c Shareabl...
trusted_official_docs
CPython Docs
following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind it: >>> b = shared_memory.ShareableList(range(5)) # In a first process >>> c = shared_memory.ShareableList(name=b.shm.name) # In a second process >>> c Shareabl...
following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind it: >>> b = shared_memory.ShareableList(range(5)) # In a first process >>> c = shared_memory.ShareableList(name=b.shm.name) # In a second process >>> c Shareabl...
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stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`106939`. For applications where rstripping of trailing nulls is a problem, work around it by always unconditionally appending an extra non-0 byte to th...
trusted_official_docs
CPython Docs
stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`106939`. For applications where rstripping of trailing nulls is a problem, work around it by always unconditionally appending an extra non-0 byte to th...
stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`106939`. For applications where rstripping of trailing nulls is a problem, work around it by always unconditionally appending an extra non-0 byte to th...
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6 >>> a.count(b'howdy') 0 >>> a.count(b'HoWdY') 1 >>> a.shm.close() >>> a.shm.unlink() >>> del a # Use of a ShareableList after call to unlink() is unsupported The following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind...
trusted_official_docs
CPython Docs
6 >>> a.count(b'howdy') 0 >>> a.count(b'HoWdY') 1 >>> a.shm.close() >>> a.shm.unlink() >>> del a # Use of a ShareableList after call to unlink() is unsupported The following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind...
6 >>> a.count(b'howdy') 0 >>> a.count(b'HoWdY') 1 >>> a.shm.close() >>> a.shm.unlink() >>> del a # Use of a ShareableList after call to unlink() is unsupported The following example depicts how one, two, or many processes may access the same :class:`ShareableList` by supplying the name of the shared memory block behind...
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64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less than 10M bytes each) * ``None`` It also notably differs from the built-in :class:`list` type in that these lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`...
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64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less than 10M bytes each) * ``None`` It also notably differs from the built-in :class:`list` type in that these lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`...
64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less than 10M bytes each) * ``None`` It also notably differs from the built-in :class:`list` type in that these lists can not change their overall length (i.e. no :meth:`!append`, :meth:`!insert`...
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8]) >>> type(b) <class 'numpy.ndarray'> >>> type(a) <class 'numpy.ndarray'> >>> shm.name # We did not specify a name so one was chosen for us 'psm_21467_46075' >>> # In either the same shell or a new Python shell on the same machine >>> import numpy as np >>> from multiprocessing import shared_memory >>> # Attach to...
trusted_official_docs
CPython Docs
8]) >>> type(b) <class 'numpy.ndarray'> >>> type(a) <class 'numpy.ndarray'> >>> shm.name # We did not specify a name so one was chosen for us 'psm_21467_46075' >>> # In either the same shell or a new Python shell on the same machine >>> import numpy as np >>> from multiprocessing import shared_memory >>> # Attach to...
8]) >>> type(b) <class 'numpy.ndarray'> >>> type(a) <class 'numpy.ndarray'> >>> shm.name # We did not specify a name so one was chosen for us 'psm_21467_46075' >>> # In either the same shell or a new Python shell on the same machine >>> import numpy as np >>> from multiprocessing import shared_memory >>> # Attach to...
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the bookkeeping. *track* is ignored on Windows, which has its own tracking and automatically deletes shared memory when all handles to it have been closed. .. versionchanged:: 3.13 Added the *track* parameter.
trusted_official_docs
CPython Docs
the bookkeeping. *track* is ignored on Windows, which has its own tracking and automatically deletes shared memory when all handles to it have been closed. .. versionchanged:: 3.13 Added the *track* parameter.
the bookkeeping. *track* is ignored on Windows, which has its own tracking and automatically deletes shared memory when all handles to it have been closed. .. versionchanged:: 3.13 Added the *track* parameter.
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.. class:: SharedMemory(name=None, create=False, size=0, *, track=True) Create an instance of the :class:`!SharedMemory` class for either creating a new shared memory block or attaching to an existing shared memory block. Each shared memory block is assigned a unique name. In this way, one process can create a shared...
trusted_official_docs
CPython Docs
.. class:: SharedMemory(name=None, create=False, size=0, *, track=True) Create an instance of the :class:`!SharedMemory` class for either creating a new shared memory block or attaching to an existing shared memory block. Each shared memory block is assigned a unique name. In this way, one process can create a shared...
.. class:: SharedMemory(name=None, create=False, size=0, *, track=True) Create an instance of the :class:`!SharedMemory` class for either creating a new shared memory block or attaching to an existing shared memory block. Each shared memory block is assigned a unique name. In this way, one process can create a shared...
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in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing :class:`!ShareableList` by its unique shared memory name. *name* is the unique name for the requested shared memory, as described in the definition for :class:`SharedMemory`. When attaching to an exist...
trusted_official_docs
CPython Docs
in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing :class:`!ShareableList` by its unique shared memory name. *name* is the unique name for the requested shared memory, as described in the definition for :class:`SharedMemory`. When attaching to an exist...
in populating a new :class:`!ShareableList` full of values. Set to ``None`` to instead attach to an already existing :class:`!ShareableList` by its unique shared memory name. *name* is the unique name for the requested shared memory, as described in the definition for :class:`SharedMemory`. When attaching to an exist...
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>>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
trusted_official_docs
CPython Docs
>>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> import pickle >>> from multiprocessing import shared_memory >>> sl = shared_memory.ShareableList(range(10)) >>> list(sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> deserialized_sl = pickle.loads(pickle.dumps(sl)) >>> list(deserialized_sl) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
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shared memory block may be larger or equal to the size requested. When attaching to an existing shared memory block, the *size* parameter is ignored. :param bool track: When ``True``, register the shared memory block with a resource tracker process on platforms where the OS does not do this automatically. The resourc...
trusted_official_docs
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shared memory block may be larger or equal to the size requested. When attaching to an existing shared memory block, the *size* parameter is ignored. :param bool track: When ``True``, register the shared memory block with a resource tracker process on platforms where the OS does not do this automatically. The resourc...
shared memory block may be larger or equal to the size requested. When attaching to an existing shared memory block, the *size* parameter is ignored. :param bool track: When ``True``, register the shared memory block with a resource tracker process on platforms where the OS does not do this automatically. The resourc...
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The following example demonstrates basic use of a :class:`ShareableList` instance: >>> from multiprocessing import shared_memory >>> a = shared_memory.ShareableList(['howdy', b'HoWdY', -273.154, 100, None, True, 42]) >>> [ type(entry) for entry in a ] [<class 'str'>, <class 'bytes'>, <class 'float'>, <class 'int'>, ...
trusted_official_docs
CPython Docs
The following example demonstrates basic use of a :class:`ShareableList` instance: >>> from multiprocessing import shared_memory >>> a = shared_memory.ShareableList(['howdy', b'HoWdY', -273.154, 100, None, True, 42]) >>> [ type(entry) for entry in a ] [<class 'str'>, <class 'bytes'>, <class 'float'>, <class 'int'>, ...
The following example demonstrates basic use of a :class:`ShareableList` instance: >>> from multiprocessing import shared_memory >>> a = shared_memory.ShareableList(['howdy', b'HoWdY', -273.154, 100, None, True, 42]) >>> [ type(entry) for entry in a ] [<class 'str'>, <class 'bytes'>, <class 'float'>, <class 'int'>, ...
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.. method:: unlink() Delete the underlying shared memory block. This should be called only once per shared memory block regardless of the number of handles to it, even in other processes. :meth:`unlink` and :meth:`close` can be called in any order, but trying to access data inside a shared memory block after :meth:`...
trusted_official_docs
CPython Docs
.. method:: unlink() Delete the underlying shared memory block. This should be called only once per shared memory block regardless of the number of handles to it, even in other processes. :meth:`unlink` and :meth:`close` can be called in any order, but trying to access data inside a shared memory block after :meth:`...
.. method:: unlink() Delete the underlying shared memory block. This should be called only once per shared memory block regardless of the number of handles to it, even in other processes. :meth:`unlink` and :meth:`close` can be called in any order, but trying to access data inside a shared memory block after :meth:`...
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accessing shared memory with *track* enabled. This will cause the shared memory to be deleted by the resource tracker of the first process that terminates. To avoid this issue, users of :mod:`subprocess` or standalone Python processes should set *track* to ``False`` when there is already another process in place that...
trusted_official_docs
CPython Docs
accessing shared memory with *track* enabled. This will cause the shared memory to be deleted by the resource tracker of the first process that terminates. To avoid this issue, users of :mod:`subprocess` or standalone Python processes should set *track* to ``False`` when there is already another process in place that...
accessing shared memory with *track* enabled. This will cause the shared memory to be deleted by the resource tracker of the first process that terminates. To avoid this issue, users of :mod:`subprocess` or standalone Python processes should set *track* to ``False`` when there is already another process in place that...
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.. doctest:: >>> from multiprocessing import shared_memory >>> nul_bug_demo = shared_memory.ShareableList(['?\x00', b'\x03\x02\x01\x00\x00\x00']) >>> nul_bug_demo[0] '?' >>> nul_bug_demo[1] b'\x03\x02\x01' >>> nul_bug_demo.shm.unlink() >>> padded = shared_memory.ShareableList(['?\x00\x07', b'\x03\x02\x01\x00\x00...
trusted_official_docs
CPython Docs
.. doctest:: >>> from multiprocessing import shared_memory >>> nul_bug_demo = shared_memory.ShareableList(['?\x00', b'\x03\x02\x01\x00\x00\x00']) >>> nul_bug_demo[0] '?' >>> nul_bug_demo[1] b'\x03\x02\x01' >>> nul_bug_demo.shm.unlink() >>> padded = shared_memory.ShareableList(['?\x00\x07', b'\x03\x02\x01\x00\x00...
.. doctest:: >>> from multiprocessing import shared_memory >>> nul_bug_demo = shared_memory.ShareableList(['?\x00', b'\x03\x02\x01\x00\x00\x00']) >>> nul_bug_demo[0] '?' >>> nul_bug_demo[1] b'\x03\x02\x01' >>> nul_bug_demo.shm.unlink() >>> padded = shared_memory.ShareableList(['?\x00\x07', b'\x03\x02\x01\x00\x00...
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= np.ndarray((6,), dtype=np.int64, buffer=existing_shm.buf) >>> c array([1, 1, 2, 3, 5, 8]) >>> c[-1] = 888 >>> c array([ 1, 1, 2, 3, 5, 888]) >>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888])
trusted_official_docs
CPython Docs
= np.ndarray((6,), dtype=np.int64, buffer=existing_shm.buf) >>> c array([1, 1, 2, 3, 5, 8]) >>> c[-1] = 888 >>> c array([ 1, 1, 2, 3, 5, 888]) >>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888])
= np.ndarray((6,), dtype=np.int64, buffer=existing_shm.buf) >>> c array([1, 1, 2, 3, 5, 8]) >>> c[-1] = 888 >>> c array([ 1, 1, 2, 3, 5, 888]) >>> # Back in the first Python interactive shell, b reflects this change >>> b array([ 1, 1, 2, 3, 5, 888])
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p1.join() ... p2.join() # Wait for all work to complete in both processes ... total_result = sum(sl) # Consolidate the partial results now in sl When using a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when t...
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CPython Docs
p1.join() ... p2.join() # Wait for all work to complete in both processes ... total_result = sum(sl) # Consolidate the partial results now in sl When using a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when t...
p1.join() ... p2.join() # Wait for all work to complete in both processes ... total_result = sum(sl) # Consolidate the partial results now in sl When using a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when t...
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create a shared memory block with a particular name and a different process can attach to that same shared memory block using that same name. As a resource for sharing data across processes, shared memory blocks may outlive the original process that created them. When one process no longer needs access to a shared me...
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create a shared memory block with a particular name and a different process can attach to that same shared memory block using that same name. As a resource for sharing data across processes, shared memory blocks may outlive the original process that created them. When one process no longer needs access to a shared me...
create a shared memory block with a particular name and a different process can attach to that same shared memory block using that same name. As a resource for sharing data across processes, shared memory blocks may outlive the original process that created them. When one process no longer needs access to a shared me...
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In a second process >>> c ShareableList([0, 1, 2, 3, 4], name='...') >>> c[-1] = -999 >>> b[-1] -999 >>> b.shm.close() >>> c.shm.close() >>> c.shm.unlink() The following examples demonstrates that :class:`ShareableList` (and underlying :class:`SharedMemory`) objects can be pickled and unpickled if needed. Note, that it...
trusted_official_docs
CPython Docs
In a second process >>> c ShareableList([0, 1, 2, 3, 4], name='...') >>> c[-1] = -999 >>> b[-1] -999 >>> b.shm.close() >>> c.shm.close() >>> c.shm.unlink() The following examples demonstrates that :class:`ShareableList` (and underlying :class:`SharedMemory`) objects can be pickled and unpickled if needed. Note, that it...
In a second process >>> c ShareableList([0, 1, 2, 3, 4], name='...') >>> c[-1] = -999 >>> b[-1] -999 >>> b.shm.close() >>> c.shm.close() >>> c.shm.unlink() The following examples demonstrates that :class:`ShareableList` (and underlying :class:`SharedMemory`) objects can be pickled and unpickled if needed. Note, that it...
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mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types: * :class:`int` (signed 64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less th...
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mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types: * :class:`int` (signed 64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less th...
mutable list-like object where all values stored within are stored in a shared memory block. This constrains storable values to the following built-in data types: * :class:`int` (signed 64-bit) * :class:`float` * :class:`bool` * :class:`str` (less than 10M bytes each when encoded as UTF-8) * :class:`bytes` (less th...
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the process itself. By creating :class:`!SharedMemory` instances through a :class:`!SharedMemoryManager`, we avoid the need to manually track and trigger the freeing of shared memory resources. This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:...
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CPython Docs
the process itself. By creating :class:`!SharedMemory` instances through a :class:`!SharedMemoryManager`, we avoid the need to manually track and trigger the freeing of shared memory resources. This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:...
the process itself. By creating :class:`!SharedMemory` instances through a :class:`!SharedMemoryManager`, we avoid the need to manually track and trigger the freeing of shared memory resources. This class provides methods for creating and returning :class:`SharedMemory` instances and for creating a list-like object (:...
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a new shared memory block, if ``None`` (the default) is supplied for the name, a novel name will be generated. :type name: str | None :param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``).
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a new shared memory block, if ``None`` (the default) is supplied for the name, a novel name will be generated. :type name: str | None :param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``).
a new shared memory block, if ``None`` (the default) is supplied for the name, a novel name will be generated. :type name: str | None :param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``).
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a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when the :keyword:`!with` statement's code block finishes execution. .. class:: ShareableList(sequence=None, *, name=None)
trusted_official_docs
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a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when the :keyword:`!with` statement's code block finishes execution. .. class:: ShareableList(sequence=None, *, name=None)
a :class:`~multiprocessing.managers.SharedMemoryManager` in a :keyword:`with` statement, the shared memory blocks created using that manager are all released when the :keyword:`!with` statement's code block finishes execution. .. class:: ShareableList(sequence=None, *, name=None)
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.. note:: A known issue exists for :class:`bytes` and :class:`str` values. If they end with ``\x00`` nul bytes or characters, those may be *silently stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`1...
trusted_official_docs
CPython Docs
.. note:: A known issue exists for :class:`bytes` and :class:`str` values. If they end with ``\x00`` nul bytes or characters, those may be *silently stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`1...
.. note:: A known issue exists for :class:`bytes` and :class:`str` values. If they end with ``\x00`` nul bytes or characters, those may be *silently stripped* when fetching them by index from the :class:`!ShareableList`. This ``.rstrip(b'\x00')`` behavior is considered a bug and may go away in the future. See :gh:`1...
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Access via shm_a b'howdy' >>> shm_b.close() # Close each SharedMemory instance >>> shm_a.close() >>> shm_a.unlink() # Call unlink only once to release the shared memory The following example demonstrates a practical use of the :class:`SharedMemory` class with `NumPy arrays <https://numpy.org/>`_, accessing the same :cl...
trusted_official_docs
CPython Docs
Access via shm_a b'howdy' >>> shm_b.close() # Close each SharedMemory instance >>> shm_a.close() >>> shm_a.unlink() # Call unlink only once to release the shared memory The following example demonstrates a practical use of the :class:`SharedMemory` class with `NumPy arrays <https://numpy.org/>`_, accessing the same :cl...
Access via shm_a b'howdy' >>> shm_b.close() # Close each SharedMemory instance >>> shm_a.close() >>> shm_a.unlink() # Call unlink only once to release the shared memory The following example demonstrates a practical use of the :class:`SharedMemory` class with `NumPy arrays <https://numpy.org/>`_, accessing the same :cl...
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.. method:: close() Close the file descriptor/handle to the shared memory from this instance. :meth:`close` should be called once access to the shared memory block from this instance is no longer needed. Depending on operating system, the underlying memory may or may not be freed even if all handles to it have been...
trusted_official_docs
CPython Docs
.. method:: close() Close the file descriptor/handle to the shared memory from this instance. :meth:`close` should be called once access to the shared memory block from this instance is no longer needed. Depending on operating system, the underlying memory may or may not be freed even if all handles to it have been...
.. method:: close() Close the file descriptor/handle to the shared memory from this instance. :meth:`close` should be called once access to the shared memory block from this instance is no longer needed. Depending on operating system, the underlying memory may or may not be freed even if all handles to it have been...
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:param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``). :param int size: The requested number of bytes when creating a new shared memory block. Because some platforms choose to allocate chunks of memory based upon that platform's ...
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:param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``). :param int size: The requested number of bytes when creating a new shared memory block. Because some platforms choose to allocate chunks of memory based upon that platform's ...
:param bool create: Control whether a new shared memory block is created (``True``) or an existing shared memory block is attached (``False``). :param int size: The requested number of bytes when creating a new shared memory block. Because some platforms choose to allocate chunks of memory based upon that platform's ...
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:rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep`. If you need the IDNA 2008 standard from :rfc:`5891` and :rfc:`5895`, use the third-party :pypi:`idna` mo...
trusted_official_docs
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:rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep`. If you need the IDNA 2008 standard from :rfc:`5891` and :rfc:`5895`, use the third-party :pypi:`idna` mo...
:rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep`. If you need the IDNA 2008 standard from :rfc:`5891` and :rfc:`5895`, use the third-party :pypi:`idna` mo...
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.. tabularcolumns:: |l|L| +-------------------------+-----------------------------------------------+ | Value | Meaning | +=========================+===============================================+ | ``'strict'`` | Raise :exc:`UnicodeError` (or a subclass), | | | this is the default. Implemented in | | | :func:`strict_...
trusted_official_docs
CPython Docs
.. tabularcolumns:: |l|L| +-------------------------+-----------------------------------------------+ | Value | Meaning | +=========================+===============================================+ | ``'strict'`` | Raise :exc:`UnicodeError` (or a subclass), | | | this is the default. Implemented in | | | :func:`strict_...
.. tabularcolumns:: |l|L| +-------------------------+-----------------------------------------------+ | Value | Meaning | +=========================+===============================================+ | ``'strict'`` | Raise :exc:`UnicodeError` (or a subclass), | | | this is the default. Implemented in | | | :func:`strict_...
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| | +----------------------+------------------+------------------------------+------------------------------+ | zlib_codec | zip, zlib | Compress the operand using | :meth:`zlib.compress` / | | | | gzip. | :meth:`zlib.decompress` | +----------------------+------------------+------------------------------+--------------...
trusted_official_docs
CPython Docs
| | +----------------------+------------------+------------------------------+------------------------------+ | zlib_codec | zip, zlib | Compress the operand using | :meth:`zlib.compress` / | | | | gzip. | :meth:`zlib.decompress` | +----------------------+------------------+------------------------------+--------------...
| | +----------------------+------------------+------------------------------+------------------------------+ | zlib_codec | zip, zlib | Compress the operand using | :meth:`zlib.compress` / | | | | gzip. | :meth:`zlib.decompress` | +----------------------+------------------+------------------------------+--------------...
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Looks up the codec info in the Python codec registry and returns a :class:`CodecInfo` object as defined below. This function first normalizes the *encoding*: all ASCII letters are converted to lower case, spaces are replaced with hyphens. Then encoding is looked up in the registry's cache. If not found, the list of r...
trusted_official_docs
CPython Docs
Looks up the codec info in the Python codec registry and returns a :class:`CodecInfo` object as defined below. This function first normalizes the *encoding*: all ASCII letters are converted to lower case, spaces are replaced with hyphens. Then encoding is looked up in the registry's cache. If not found, the list of r...
Looks up the codec info in the Python codec registry and returns a :class:`CodecInfo` object as defined below. This function first normalizes the *encoding*: all ASCII letters are converted to lower case, spaces are replaced with hyphens. Then encoding is looked up in the registry's cache. If not found, the list of r...
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The least significant bit of the Unicode character is the rightmost x bit. As UTF-8 is an 8-bit encoding no BOM is required and any ``U+FEFF`` character in the decoded string (even if it's the first character) is treated as a ``ZERO WIDTH NO-BREAK SPACE``.
trusted_official_docs
CPython Docs
The least significant bit of the Unicode character is the rightmost x bit. As UTF-8 is an 8-bit encoding no BOM is required and any ``U+FEFF`` character in the decoded string (even if it's the first character) is treated as a ``ZERO WIDTH NO-BREAK SPACE``.
The least significant bit of the Unicode character is the rightmost x bit. As UTF-8 is an 8-bit encoding no BOM is required and any ``U+FEFF`` character in the decoded string (even if it's the first character) is treated as a ``ZERO WIDTH NO-BREAK SPACE``.
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If *file_encoding* is not given, it defaults to *data_encoding*. *errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs.
trusted_official_docs
CPython Docs
If *file_encoding* is not given, it defaults to *data_encoding*. *errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs.
If *file_encoding* is not given, it defaults to *data_encoding*. *errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs.
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The *errors* argument defines the error handling to apply. It defaults to ``'strict'`` handling. The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient.
trusted_official_docs
CPython Docs
The *errors* argument defines the error handling to apply. It defaults to ``'strict'`` handling. The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient.
The *errors* argument defines the error handling to apply. It defaults to ``'strict'`` handling. The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient.
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is done on reading and writing. The *mode* argument may be any binary mode acceptable to the built-in :func:`open` function; the ``'b'`` is automatically added. *encoding* specifies the encoding which is to be used for the file. Any encoding that encodes to and decodes from bytes is allowed, and the data types support...
trusted_official_docs
CPython Docs
is done on reading and writing. The *mode* argument may be any binary mode acceptable to the built-in :func:`open` function; the ``'b'`` is automatically added. *encoding* specifies the encoding which is to be used for the file. Any encoding that encodes to and decodes from bytes is allowed, and the data types support...
is done on reading and writing. The *mode* argument may be any binary mode acceptable to the built-in :func:`open` function; the ``'b'`` is automatically added. *encoding* specifies the encoding which is to be used for the file. Any encoding that encodes to and decodes from bytes is allowed, and the data types support...
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.. tabularcolumns:: |l|L|L|L| +----------------------+------------------+------------------------------+------------------------------+ | Codec | Aliases | Meaning | Encoder / decoder | +======================+==================+==============================+==============================+ | base64_codec [#b64]_ | bas...
trusted_official_docs
CPython Docs
.. tabularcolumns:: |l|L|L|L| +----------------------+------------------+------------------------------+------------------------------+ | Codec | Aliases | Meaning | Encoder / decoder | +======================+==================+==============================+==============================+ | base64_codec [#b64]_ | bas...
.. tabularcolumns:: |l|L|L|L| +----------------------+------------------+------------------------------+------------------------------+ | Codec | Aliases | Meaning | Encoder / decoder | +======================+==================+==============================+==============================+ | base64_codec [#b64]_ | bas...
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*errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs. .. function:: iterencode(iterator, encoding, errors='strict', **kwargs)
trusted_official_docs
CPython Docs
*errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs. .. function:: iterencode(iterator, encoding, errors='strict', **kwargs)
*errors* may be given to define the error handling. It defaults to ``'strict'``, which causes :exc:`ValueError` to be raised in case an encoding error occurs. .. function:: iterencode(iterator, encoding, errors='strict', **kwargs)
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.. module:: encodings.idna :synopsis: Internationalized Domain Names implementation This module implements :rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep...
trusted_official_docs
CPython Docs
.. module:: encodings.idna :synopsis: Internationalized Domain Names implementation This module implements :rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep...
.. module:: encodings.idna :synopsis: Internationalized Domain Names implementation This module implements :rfc:`3490` (Internationalized Domain Names in Applications) and :rfc:`3492` (Nameprep: A Stringprep Profile for Internationalized Domain Names (IDN)). It builds upon the ``punycode`` encoding and :mod:`stringprep...
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.. tabularcolumns:: |l|p{0.3\linewidth}|p{0.3\linewidth}| +--------------------+---------+---------------------------+ | Codec | Aliases | Meaning | +====================+=========+===========================+ | idna | | Implement :rfc:`3490`, | | | | see also | | | | :mod:`encodings.idna`. | | | | Only ``errors='stric...
trusted_official_docs
CPython Docs
.. tabularcolumns:: |l|p{0.3\linewidth}|p{0.3\linewidth}| +--------------------+---------+---------------------------+ | Codec | Aliases | Meaning | +====================+=========+===========================+ | idna | | Implement :rfc:`3490`, | | | | see also | | | | :mod:`encodings.idna`. | | | | Only ``errors='stric...
.. tabularcolumns:: |l|p{0.3\linewidth}|p{0.3\linewidth}| +--------------------+---------+---------------------------+ | Codec | Aliases | Meaning | +====================+=========+===========================+ | idna | | Implement :rfc:`3490`, | | | | see also | | | | :mod:`encodings.idna`. | | | | Only ``errors='stric...
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use the hexadecimal form of Unicode code point with formats :samp:`\\x{hh}` :samp:`\\u{xxxx}` :samp:`\\U{xxxxxxxx}`. On decoding, use the hexadecimal form of byte value with format :samp:`\\x{hh}`. .. versionchanged:: 3.5 Works with decoding and translating.
trusted_official_docs
CPython Docs
use the hexadecimal form of Unicode code point with formats :samp:`\\x{hh}` :samp:`\\u{xxxx}` :samp:`\\U{xxxxxxxx}`. On decoding, use the hexadecimal form of byte value with format :samp:`\\x{hh}`. .. versionchanged:: 3.5 Works with decoding and translating.
use the hexadecimal form of Unicode code point with formats :samp:`\\x{hh}` :samp:`\\u{xxxx}` :samp:`\\U{xxxxxxxx}`. On decoding, use the hexadecimal form of byte value with format :samp:`\\x{hh}`. .. versionchanged:: 3.5 Works with decoding and translating.
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.. function:: readbuffer_encode(buffer, errors=None, /) Return a :class:`tuple` containing the raw bytes of *buffer*, a :ref:`buffer-compatible object <bufferobjects>` or :class:`str` (encoded to UTF-8 before processing), and their length in bytes.
trusted_official_docs
CPython Docs
.. function:: readbuffer_encode(buffer, errors=None, /) Return a :class:`tuple` containing the raw bytes of *buffer*, a :ref:`buffer-compatible object <bufferobjects>` or :class:`str` (encoded to UTF-8 before processing), and their length in bytes.
.. function:: readbuffer_encode(buffer, errors=None, /) Return a :class:`tuple` containing the raw bytes of *buffer*, a :ref:`buffer-compatible object <bufferobjects>` or :class:`str` (encoded to UTF-8 before processing), and their length in bytes.
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The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient. The decoder must be able to handle zero length input and return an empty object of the output object type in this situation.
trusted_official_docs
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The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient. The decoder must be able to handle zero length input and return an empty object of the output object type in this situation.
The method may not store state in the :class:`Codec` instance. Use :class:`StreamReader` for codecs which have to keep state in order to make decoding efficient. The decoder must be able to handle zero length input and return an empty object of the output object type in this situation.
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all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8 | U8, UTF, utf8, cp65001 | all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8_sig | utf8-sig | all languages | +-----------------+---------------------...
trusted_official_docs
CPython Docs
all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8 | U8, UTF, utf8, cp65001 | all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8_sig | utf8-sig | all languages | +-----------------+---------------------...
all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8 | U8, UTF, utf8, cp65001 | all languages | +-----------------+--------------------------------+--------------------------------+ | utf_8_sig | utf8-sig | all languages | +-----------------+---------------------...
python, official-docs, cpython, P0
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