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CPython Docs
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class DeepChainMap(ChainMap): 'Variant of ChainMap that allows direct updates to inner scopes' def __setitem__(self, key, value): for mapping in self.maps: if key in mapping: mapping[key] = value return self.maps[0][key] = value
trusted_official_docs
CPython Docs
class DeepChainMap(ChainMap): 'Variant of ChainMap that allows direct updates to inner scopes' def __setitem__(self, key, value): for mapping in self.maps: if key in mapping: mapping[key] = value return self.maps[0][key] = value
class DeepChainMap(ChainMap): 'Variant of ChainMap that allows direct updates to inner scopes' def __setitem__(self, key, value): for mapping in self.maps: if key in mapping: mapping[key] = value return self.maps[0][key] = value
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CPython Docs
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supabase-export-v2
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deque is not empty, rotating one step to the right is equivalent to ``d.appendleft(d.pop())``, and rotating one step to the left is equivalent to ``d.append(d.popleft())``. Deque objects also provide one read-only attribute:
trusted_official_docs
CPython Docs
deque is not empty, rotating one step to the right is equivalent to ``d.appendleft(d.pop())``, and rotating one step to the left is equivalent to ``d.append(d.popleft())``. Deque objects also provide one read-only attribute:
deque is not empty, rotating one step to the right is equivalent to ``d.appendleft(d.pop())``, and rotating one step to the left is equivalent to ``d.append(d.popleft())``. Deque objects also provide one read-only attribute:
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:class:`UserDict` objects ------------------------- The class, :class:`UserDict` acts as a wrapper around dictionary objects. The need for this class has been partially supplanted by the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is ...
trusted_official_docs
CPython Docs
:class:`UserDict` objects ------------------------- The class, :class:`UserDict` acts as a wrapper around dictionary objects. The need for this class has been partially supplanted by the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is ...
:class:`UserDict` objects ------------------------- The class, :class:`UserDict` acts as a wrapper around dictionary objects. The need for this class has been partially supplanted by the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is ...
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set to a copy of *seq*. The *seq* argument can be any object which can be converted into a string using the built-in :func:`str` function. In addition to supporting the methods and operations of strings, :class:`UserString` instances provide the following attribute:
trusted_official_docs
CPython Docs
set to a copy of *seq*. The *seq* argument can be any object which can be converted into a string using the built-in :func:`str` function. In addition to supporting the methods and operations of strings, :class:`UserString` instances provide the following attribute:
set to a copy of *seq*. The *seq* argument can be any object which can be converted into a string using the built-in :func:`str` function. In addition to supporting the methods and operations of strings, :class:`UserString` instances provide the following attribute:
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:attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same as if they were passed to the :class:`dict` constructor, including keyword arguments. :class:`defaultdict` objects support the following method in addition to the standard :class:`dict` operations:
trusted_official_docs
CPython Docs
:attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same as if they were passed to the :class:`dict` constructor, including keyword arguments. :class:`defaultdict` objects support the following method in addition to the standard :class:`dict` operations:
:attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same as if they were passed to the :class:`dict` constructor, including keyword arguments. :class:`defaultdict` objects support the following method in addition to the standard :class:`dict` operations:
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'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)] When a letter is first encountered, it is missing from the mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increm...
trusted_official_docs
CPython Docs
'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)] When a letter is first encountered, it is missing from the mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increm...
'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)] When a letter is first encountered, it is missing from the mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increm...
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of the deque by appending elements from *iterable*. Note, the series of left appends results in reversing the order of elements in the iterable argument. .. method:: index(value[, start[, stop]])
trusted_official_docs
CPython Docs
of the deque by appending elements from *iterable*. Note, the series of left appends results in reversing the order of elements in the iterable argument. .. method:: index(value[, start[, stop]])
of the deque by appending elements from *iterable*. Note, the series of left appends results in reversing the order of elements in the iterable argument. .. method:: index(value[, start[, stop]])
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self-documenting code. They can be used wherever regular tuples are used, and they add the ability to access fields by name instead of position index. .. function:: namedtuple(typename, field_names, *, rename=False, defaults=None, module=None)
trusted_official_docs
CPython Docs
self-documenting code. They can be used wherever regular tuples are used, and they add the ability to access fields by name instead of position index. .. function:: namedtuple(typename, field_names, *, rename=False, defaults=None, module=None)
self-documenting code. They can be used wherever regular tuples are used, and they add the ability to access fields by name instead of position index. .. function:: namedtuple(typename, field_names, *, rename=False, defaults=None, module=None)
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supabase-export-v2
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Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left:: def moving_average(iterable, n=3): # moving_average([40, 30, 50, 46, 39, 44]) --> 40.0 42.0 45.0 43.0 # https://en.wikipedia.org/wiki/Moving_average it = iter(iterable) d = deque...
trusted_official_docs
CPython Docs
Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left:: def moving_average(iterable, n=3): # moving_average([40, 30, 50, 46, 39, 44]) --> 40.0 42.0 45.0 43.0 # https://en.wikipedia.org/wiki/Moving_average it = iter(iterable) d = deque...
Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left:: def moving_average(iterable, n=3): # moving_average([40, 30, 50, 46, 39, 44]) --> 40.0 42.0 45.0 43.0 # https://en.wikipedia.org/wiki/Moving_average it = iter(iterable) d = deque...
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CPython Docs
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the subclass also have a helpful docstring (with *typename* and *field_names*) and a helpful :meth:`~object.__repr__` method which lists the tuple contents in a ``name=value`` format. The *field_names* are a sequence of strings such as ``['x', 'y']``. Alternatively, *field_names* can be a single string with each fieldn...
trusted_official_docs
CPython Docs
the subclass also have a helpful docstring (with *typename* and *field_names*) and a helpful :meth:`~object.__repr__` method which lists the tuple contents in a ``name=value`` format. The *field_names* are a sequence of strings such as ``['x', 'y']``. Alternatively, *field_names* can be a single string with each fieldn...
the subclass also have a helpful docstring (with *typename* and *field_names*) and a helpful :meth:`~object.__repr__` method which lists the tuple contents in a ``name=value`` format. The *field_names* are a sequence of strings such as ``['x', 'y']``. Alternatively, *field_names* can be a single string with each fieldn...
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CPython Docs
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Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`: >>> c = Counter(['eggs', 'ham']) >>> c['bacon'] # count of a missing element is zero 0
trusted_official_docs
CPython Docs
Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`: >>> c = Counter(['eggs', 'ham']) >>> c['bacon'] # count of a missing element is zero 0
Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`: >>> c = Counter(['eggs', 'ham']) >>> c['bacon'] # count of a missing element is zero 0
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overrides one method and adds one writable instance variable. The remaining functionality is the same as for the :class:`dict` class and is not documented here. The first argument provides the initial value for the :attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same...
trusted_official_docs
CPython Docs
overrides one method and adds one writable instance variable. The remaining functionality is the same as for the :class:`dict` class and is not documented here. The first argument provides the initial value for the :attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same...
overrides one method and adds one writable instance variable. The remaining functionality is the same as for the :class:`dict` class and is not documented here. The first argument provides the initial value for the :attr:`default_factory` attribute; it defaults to ``None``. All remaining arguments are treated the same...
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* :class:`OrderedDict` has a :meth:`~OrderedDict.move_to_end` method to efficiently reposition an element to an endpoint. A regular :class:`dict` can emulate OrderedDict's ``od.move_to_end(k, last=True)`` with ``d[k] = d.pop(k)`` which will move the key and its associated value to the rightmost (last) position.
trusted_official_docs
CPython Docs
* :class:`OrderedDict` has a :meth:`~OrderedDict.move_to_end` method to efficiently reposition an element to an endpoint. A regular :class:`dict` can emulate OrderedDict's ``od.move_to_end(k, last=True)`` with ``d[k] = d.pop(k)`` which will move the key and its associated value to the rightmost (last) position.
* :class:`OrderedDict` has a :meth:`~OrderedDict.move_to_end` method to efficiently reposition an element to an endpoint. A regular :class:`dict` can emulate OrderedDict's ``od.move_to_end(k, last=True)`` with ``d[k] = d.pop(k)`` which will move the key and its associated value to the rightmost (last) position.
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def delete_nth(d, n): d.rotate(-n) d.popleft() d.rotate(n) To implement :class:`deque` slicing, use a similar approach applying :meth:`~deque.rotate` to bring a target element to the left side of the deque. Remove old entries with :meth:`~deque.popleft`, add new entries with :meth:`~deque.extend`, and then reverse the ...
trusted_official_docs
CPython Docs
def delete_nth(d, n): d.rotate(-n) d.popleft() d.rotate(n) To implement :class:`deque` slicing, use a similar approach applying :meth:`~deque.rotate` to bring a target element to the left side of the deque. Remove old entries with :meth:`~deque.popleft`, add new entries with :meth:`~deque.extend`, and then reverse the ...
def delete_nth(d, n): d.rotate(-n) d.popleft() d.rotate(n) To implement :class:`deque` slicing, use a similar approach applying :meth:`~deque.rotate` to bring a target element to the left side of the deque. Remove old entries with :meth:`~deque.popleft`, add new entries with :meth:`~deque.extend`, and then reverse the ...
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CPython Docs
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cnt) pairs Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs c.most_common()[:-n-1:-1] # n least common elements +c # remove zero and negative counts Several mathematical operations are provided for combining :class:`Counter` objects to produce multisets (counters that have counts greater than zer...
trusted_official_docs
CPython Docs
cnt) pairs Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs c.most_common()[:-n-1:-1] # n least common elements +c # remove zero and negative counts Several mathematical operations are provided for combining :class:`Counter` objects to produce multisets (counters that have counts greater than zer...
cnt) pairs Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs c.most_common()[:-n-1:-1] # n least common elements +c # remove zero and negative counts Several mathematical operations are provided for combining :class:`Counter` objects to produce multisets (counters that have counts greater than zer...
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order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end:: class LastUpdatedOrderedDict(OrderedDict): 'Store items in the order that the keys were last updated.'
trusted_official_docs
CPython Docs
order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end:: class LastUpdatedOrderedDict(OrderedDict): 'Store items in the order that the keys were last updated.'
order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end:: class LastUpdatedOrderedDict(OrderedDict): 'Store items in the order that the keys were last updated.'
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If calling :attr:`default_factory` raises an exception this exception is propagated unchanged. This method is called by the :meth:`~object.__getitem__` method of the :class:`dict` class when the requested key is not found; whatever it returns or raises is then returned or raised by :meth:`~object.__getitem__`.
trusted_official_docs
CPython Docs
If calling :attr:`default_factory` raises an exception this exception is propagated unchanged. This method is called by the :meth:`~object.__getitem__` method of the :class:`dict` class when the requested key is not found; whatever it returns or raises is then returned or raised by :meth:`~object.__getitem__`.
If calling :attr:`default_factory` raises an exception this exception is propagated unchanged. This method is called by the :meth:`~object.__getitem__` method of the :class:`dict` class when the requested key is not found; whatever it returns or raises is then returned or raised by :meth:`~object.__getitem__`.
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.. class:: UserList([list]) Class that simulates a list. The instance's contents are kept in a regular list, which is accessible via the :attr:`data` attribute of :class:`UserList` instances. The instance's contents are initially set to a copy of *list*, defaulting to the empty list ``[]``. *list* can be any iterabl...
trusted_official_docs
CPython Docs
.. class:: UserList([list]) Class that simulates a list. The instance's contents are kept in a regular list, which is accessible via the :attr:`data` attribute of :class:`UserList` instances. The instance's contents are initially set to a copy of *list*, defaulting to the empty list ``[]``. *list* can be any iterabl...
.. class:: UserList([list]) Class that simulates a list. The instance's contents are kept in a regular list, which is accessible via the :attr:`data` attribute of :class:`UserList` instances. The instance's contents are initially set to a copy of *list*, defaulting to the empty list ``[]``. *list* can be any iterabl...
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Counts are allowed to be any integer value including zero or negative counts. The :class:`Counter` class is similar to bags or multisets in other languages. Elements are counted from an *iterable* or initialized from another *mapping* (or counter):
trusted_official_docs
CPython Docs
Counts are allowed to be any integer value including zero or negative counts. The :class:`Counter` class is similar to bags or multisets in other languages. Elements are counted from an *iterable* or initialized from another *mapping* (or counter):
Counts are allowed to be any integer value including zero or negative counts. The :class:`Counter` class is similar to bags or multisets in other languages. Elements are counted from an *iterable* or initialized from another *mapping* (or counter):
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import csv for emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))): print(emp.name, emp.title) import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title, department, paygrade FROM employees') for emp in map(EmployeeRecord._make, cursor...
trusted_official_docs
CPython Docs
import csv for emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))): print(emp.name, emp.title) import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title, department, paygrade FROM employees') for emp in map(EmployeeRecord._make, cursor...
import csv for emp in map(EmployeeRecord._make, csv.reader(open("employees.csv", "rb"))): print(emp.name, emp.title) import sqlite3 conn = sqlite3.connect('/companydata') cursor = conn.cursor() cursor.execute('SELECT name, age, title, department, paygrade FROM employees') for emp in map(EmployeeRecord._make, cursor...
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:class:`UserList` objects ------------------------- This class acts as a wrapper around list objects. It is a useful base class for your own list-like classes which can inherit from them and override existing methods or add new ones. In this way, one can add new behaviors to lists.
trusted_official_docs
CPython Docs
:class:`UserList` objects ------------------------- This class acts as a wrapper around list objects. It is a useful base class for your own list-like classes which can inherit from them and override existing methods or add new ones. In this way, one can add new behaviors to lists.
:class:`UserList` objects ------------------------- This class acts as a wrapper around list objects. It is a useful base class for your own list-like classes which can inherit from them and override existing methods or add new ones. In this way, one can add new behaviors to lists.
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A faster and more flexible way to create constant functions is to use a lambda function which can supply any constant value (not just zero): >>> def constant_factory(value): ... return lambda: value ... >>> d = defaultdict(constant_factory('<missing>')) >>> d.update(name='John', action='ran') >>> '%(name)s %(action...
trusted_official_docs
CPython Docs
A faster and more flexible way to create constant functions is to use a lambda function which can supply any constant value (not just zero): >>> def constant_factory(value): ... return lambda: value ... >>> d = defaultdict(constant_factory('<missing>')) >>> d.update(name='John', action='ran') >>> '%(name)s %(action...
A faster and more flexible way to create constant functions is to use a lambda function which can supply any constant value (not just zero): >>> def constant_factory(value): ... return lambda: value ... >>> d = defaultdict(constant_factory('<missing>')) >>> d.update(name='John', action='ran') >>> '%(name)s %(action...
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>>> p._fields # view the field names ('x', 'y') >>> Color = namedtuple('Color', 'red green blue') >>> Pixel = namedtuple('Pixel', Point._fields + Color._fields) >>> Pixel(11, 22, 128, 255, 0) Pixel(x=11, y=22, red=128, green=255, blue=0)
trusted_official_docs
CPython Docs
>>> p._fields # view the field names ('x', 'y') >>> Color = namedtuple('Color', 'red green blue') >>> Pixel = namedtuple('Pixel', Point._fields + Color._fields) >>> Pixel(11, 22, 128, 255, 0) Pixel(x=11, y=22, red=128, green=255, blue=0)
>>> p._fields # view the field names ('x', 'y') >>> Color = namedtuple('Color', 'red green blue') >>> Pixel = namedtuple('Pixel', Point._fields + Color._fields) >>> Pixel(11, 22, 128, 255, 0) Pixel(x=11, y=22, red=128, green=255, blue=0)
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>>> Account = namedtuple('Account', ['type', 'balance'], defaults=[0]) >>> Account._field_defaults {'balance': 0} >>> Account('premium') Account(type='premium', balance=0) To retrieve a field whose name is stored in a string, use the :func:`getattr` function:
trusted_official_docs
CPython Docs
>>> Account = namedtuple('Account', ['type', 'balance'], defaults=[0]) >>> Account._field_defaults {'balance': 0} >>> Account('premium') Account(type='premium', balance=0) To retrieve a field whose name is stored in a string, use the :func:`getattr` function:
>>> Account = namedtuple('Account', ['type', 'balance'], defaults=[0]) >>> Account._field_defaults {'balance': 0} >>> Account('premium') Account(type='premium', balance=0) To retrieve a field whose name is stored in a string, use the :func:`getattr` function:
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Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages): >>> s = 'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)]
trusted_official_docs
CPython Docs
Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages): >>> s = 'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)]
Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages): >>> s = 'mississippi' >>> d = defaultdict(int) >>> for k in s: ... d[k] += 1 ... >>> sorted(d.items()) [('i', 4), ('m', 1), ('p', 2), ('s', 4)]
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>>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages):
trusted_official_docs
CPython Docs
>>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages):
>>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] Setting the :attr:`~defaultdict.default_factory` to :class:`int` makes the :class:`defaultdict` useful for counting (like a bag or multiset in other languages):
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.. doctest:: :hide: >>> def square(x): ... return x * x ... >>> f = MultiHitLRUCache(square, maxsize=4, maxrequests=6) >>> list(map(f, range(10))) # First requests, don't cache [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] >>> f(4) # Cache the second request 16 >>> f(6) # Cache the second request 36 >>> f(2) # The firs...
trusted_official_docs
CPython Docs
.. doctest:: :hide: >>> def square(x): ... return x * x ... >>> f = MultiHitLRUCache(square, maxsize=4, maxrequests=6) >>> list(map(f, range(10))) # First requests, don't cache [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] >>> f(4) # Cache the second request 16 >>> f(6) # Cache the second request 36 >>> f(2) # The firs...
.. doctest:: :hide: >>> def square(x): ... return x * x ... >>> f = MultiHitLRUCache(square, maxsize=4, maxrequests=6) >>> list(map(f, range(10))) # First requests, don't cache [0, 1, 4, 9, 16, 25, 36, 49, 64, 81] >>> f(4) # Cache the second request 16 >>> f(6) # Cache the second request 36 >>> f(2) # The firs...
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parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None} combined = ChainMap(command_line_args, os.environ, defaults) print(combined['color']) print(combin...
trusted_official_docs
CPython Docs
parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None} combined = ChainMap(command_line_args, os.environ, defaults) print(combined['color']) print(combin...
parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None} combined = ChainMap(command_line_args, os.environ, defaults) print(combined['color']) print(combin...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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'z']`` and the defaults are ``(1, 2)``, then ``x`` will be a required argument, ``y`` will default to ``1``, and ``z`` will default to ``2``. If *module* is defined, the :attr:`~type.__module__` attribute of the named tuple is set to that value.
trusted_official_docs
CPython Docs
'z']`` and the defaults are ``(1, 2)``, then ``x`` will be a required argument, ``y`` will default to ``1``, and ``z`` will default to ``2``. If *module* is defined, the :attr:`~type.__module__` attribute of the named tuple is set to that value.
'z']`` and the defaults are ``(1, 2)``, then ``x`` will be a required argument, ``y`` will default to ``1``, and ``z`` will default to ``2``. If *module* is defined, the :attr:`~type.__module__` attribute of the named tuple is set to that value.
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CPython Docs
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.. method:: popitem(last=True) The :meth:`popitem` method for ordered dictionaries returns and removes a (key, value) pair. The pairs are returned in :abbr:`LIFO (last-in, first-out)` order if *last* is true or :abbr:`FIFO (first-in, first-out)` order if false.
trusted_official_docs
CPython Docs
.. method:: popitem(last=True) The :meth:`popitem` method for ordered dictionaries returns and removes a (key, value) pair. The pairs are returned in :abbr:`LIFO (last-in, first-out)` order if *last* is true or :abbr:`FIFO (first-in, first-out)` order if false.
.. method:: popitem(last=True) The :meth:`popitem` method for ordered dictionaries returns and removes a (key, value) pair. The pairs are returned in :abbr:`LIFO (last-in, first-out)` order if *last* is true or :abbr:`FIFO (first-in, first-out)` order if false.
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.. method:: elements() Return an iterator over elements repeating each as many times as its count. Elements are returned in the order first encountered. If an element's count is less than one, :meth:`elements` will ignore it.
trusted_official_docs
CPython Docs
.. method:: elements() Return an iterator over elements repeating each as many times as its count. Elements are returned in the order first encountered. If an element's count is less than one, :meth:`elements` will ignore it.
.. method:: elements() Return an iterator over elements repeating each as many times as its count. Elements are returned in the order first encountered. If an element's count is less than one, :meth:`elements` will ignore it.
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defaults = {'color': 'red', 'user': 'guest'} parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None}
trusted_official_docs
CPython Docs
defaults = {'color': 'red', 'user': 'guest'} parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None}
defaults = {'color': 'red', 'user': 'guest'} parser = argparse.ArgumentParser() parser.add_argument('-u', '--user') parser.add_argument('-c', '--color') namespace = parser.parse_args() command_line_args = {k: v for k, v in vars(namespace).items() if v is not None}
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Local_Trusted_Corpus
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the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is accessible as an attribute. .. class:: UserDict(**kwargs) UserDict(mapping, /, **kwargs) UserDict(iterable, /, **kwargs)
trusted_official_docs
CPython Docs
the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is accessible as an attribute. .. class:: UserDict(**kwargs) UserDict(mapping, /, **kwargs) UserDict(iterable, /, **kwargs)
the ability to subclass directly from :class:`dict`; however, this class can be easier to work with because the underlying dictionary is accessible as an attribute. .. class:: UserDict(**kwargs) UserDict(mapping, /, **kwargs) UserDict(iterable, /, **kwargs)
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Local_Trusted_Corpus
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If the :attr:`default_factory` attribute is ``None``, this raises a :exc:`KeyError` exception with the *key* as argument. If :attr:`default_factory` is not ``None``, it is called without arguments to provide a default value for the given *key*, this value is inserted in the dictionary for the *key*, and returned.
trusted_official_docs
CPython Docs
If the :attr:`default_factory` attribute is ``None``, this raises a :exc:`KeyError` exception with the *key* as argument. If :attr:`default_factory` is not ``None``, it is called without arguments to provide a default value for the given *key*, this value is inserted in the dictionary for the *key*, and returned.
If the :attr:`default_factory` attribute is ``None``, this raises a :exc:`KeyError` exception with the *key* as argument. If :attr:`default_factory` is not ``None``, it is called without arguments to provide a default value for the given *key*, this value is inserted in the dictionary for the *key*, and returned.
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def tail(filename, n=10): 'Return the last n lines of a file' with open(filename) as f: return deque(f, n) Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left::
trusted_official_docs
CPython Docs
def tail(filename, n=10): 'Return the last n lines of a file' with open(filename) as f: return deque(f, n) Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left::
def tail(filename, n=10): 'Return the last n lines of a file' with open(filename) as f: return deque(f, n) Another approach to using deques is to maintain a sequence of recently added elements by appending to the right and popping to the left::
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:class:`OrderedDict` Examples and Recipes ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is straightforward to create an ordered dictionary variant that remembers the order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end::
trusted_official_docs
CPython Docs
:class:`OrderedDict` Examples and Recipes ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is straightforward to create an ordered dictionary variant that remembers the order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end::
:class:`OrderedDict` Examples and Recipes ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is straightforward to create an ordered dictionary variant that remembers the order the keys were *last* inserted. If a new entry overwrites an existing entry, the original insertion position is changed and moved to the end::
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deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I >>> d.append('j') # add a new entry to the right side >>> d.appendleft('f') # add a new entry to the left side >>> d # show the representation of the deque deque(['f', 'g', 'h', 'i', ...
trusted_official_docs
CPython Docs
deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I >>> d.append('j') # add a new entry to the right side >>> d.appendleft('f') # add a new entry to the left side >>> d # show the representation of the deque deque(['f', 'g', 'h', 'i', ...
deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I >>> d.append('j') # add a new entry to the right side >>> d.appendleft('f') # add a new entry to the left side >>> d # show the representation of the deque deque(['f', 'g', 'h', 'i', ...
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The subclass shown above sets ``__slots__`` to an empty tuple. This helps keep memory requirements low by preventing the creation of instance dictionaries. Subclassing is not useful for adding new, stored fields. Instead, simply create a new named tuple type from the :attr:`~somenamedtuple._fields` attribute:
trusted_official_docs
CPython Docs
The subclass shown above sets ``__slots__`` to an empty tuple. This helps keep memory requirements low by preventing the creation of instance dictionaries. Subclassing is not useful for adding new, stored fields. Instead, simply create a new named tuple type from the :attr:`~somenamedtuple._fields` attribute:
The subclass shown above sets ``__slots__`` to an empty tuple. This helps keep memory requirements low by preventing the creation of instance dictionaries. Subclassing is not useful for adding new, stored fields. Instead, simply create a new named tuple type from the :attr:`~somenamedtuple._fields` attribute:
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for that key) and the :meth:`list.append` operation adds another value to the list. This technique is simpler and faster than an equivalent technique using :meth:`dict.setdefault`: >>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [...
trusted_official_docs
CPython Docs
for that key) and the :meth:`list.append` operation adds another value to the list. This technique is simpler and faster than an equivalent technique using :meth:`dict.setdefault`: >>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [...
for that key) and the :meth:`list.append` operation adds another value to the list. This technique is simpler and faster than an equivalent technique using :meth:`dict.setdefault`: >>> d = {} >>> for k, v in s: ... d.setdefault(k, []).append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [...
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used in :term:`nested scopes <nested scope>`. The use cases also parallel those for the built-in :func:`super` function. A reference to ``d.parents`` is equivalent to: ``ChainMap(*d.maps[1:])``. Note, the iteration order of a :class:`ChainMap` is determined by scanning the mappings last to first::
trusted_official_docs
CPython Docs
used in :term:`nested scopes <nested scope>`. The use cases also parallel those for the built-in :func:`super` function. A reference to ``d.parents`` is equivalent to: ``ChainMap(*d.maps[1:])``. Note, the iteration order of a :class:`ChainMap` is determined by scanning the mappings last to first::
used in :term:`nested scopes <nested scope>`. The use cases also parallel those for the built-in :func:`super` function. A reference to ``d.parents`` is equivalent to: ``ChainMap(*d.maps[1:])``. Note, the iteration order of a :class:`ChainMap` is determined by scanning the mappings last to first::
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:class:`OrderedDict` objects ---------------------------- Ordered dictionaries are just like regular dictionaries but have some extra capabilities relating to ordering operations. They have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior ...
trusted_official_docs
CPython Docs
:class:`OrderedDict` objects ---------------------------- Ordered dictionaries are just like regular dictionaries but have some extra capabilities relating to ordering operations. They have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior ...
:class:`OrderedDict` objects ---------------------------- Ordered dictionaries are just like regular dictionaries but have some extra capabilities relating to ordering operations. They have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior ...
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# Current context dictionary -- like Python's locals() e.maps[-1] # Root context -- like Python's globals() e.parents # Enclosing context chain -- like Python's nonlocals d['x'] = 1 # Set value in current context d['x'] # Get first key in the chain of contexts del d['x'] # Delete from current context list(d) # All n...
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# Current context dictionary -- like Python's locals() e.maps[-1] # Root context -- like Python's globals() e.parents # Enclosing context chain -- like Python's nonlocals d['x'] = 1 # Set value in current context d['x'] # Get first key in the chain of contexts del d['x'] # Delete from current context list(d) # All n...
# Current context dictionary -- like Python's locals() e.maps[-1] # Root context -- like Python's globals() e.parents # Enclosing context chain -- like Python's nonlocals d['x'] = 1 # Set value in current context d['x'] # Get first key in the chain of contexts del d['x'] # Delete from current context list(d) # All n...
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('red', 1)] >>> d = defaultdict(list) >>> for k, v in s: ... d[k].append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] When each key is encountered for the first time, it is not already in the mapping; so an entry is automatically created using the :attr:`~defaultdict.default_factory...
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CPython Docs
('red', 1)] >>> d = defaultdict(list) >>> for k, v in s: ... d[k].append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] When each key is encountered for the first time, it is not already in the mapping; so an entry is automatically created using the :attr:`~defaultdict.default_factory...
('red', 1)] >>> d = defaultdict(list) >>> for k, v in s: ... d[k].append(v) ... >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] When each key is encountered for the first time, it is not already in the mapping; so an entry is automatically created using the :attr:`~defaultdict.default_factory...
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d.rotate(1) # right rotation >>> d deque(['l', 'g', 'h', 'i', 'j', 'k']) >>> d.rotate(-1) # left rotation >>> d deque(['g', 'h', 'i', 'j', 'k', 'l']) >>> deque(reversed(d)) # make a new deque in reverse order deque(['l', 'k', 'j', 'i', 'h', 'g']) >>> d.clear() # empty the deque >>> d.pop() # cannot pop from an empty...
trusted_official_docs
CPython Docs
d.rotate(1) # right rotation >>> d deque(['l', 'g', 'h', 'i', 'j', 'k']) >>> d.rotate(-1) # left rotation >>> d deque(['g', 'h', 'i', 'j', 'k', 'l']) >>> deque(reversed(d)) # make a new deque in reverse order deque(['l', 'k', 'j', 'i', 'h', 'g']) >>> d.clear() # empty the deque >>> d.pop() # cannot pop from an empty...
d.rotate(1) # right rotation >>> d deque(['l', 'g', 'h', 'i', 'j', 'k']) >>> d.rotate(-1) # left rotation >>> d deque(['g', 'h', 'i', 'j', 'k', 'l']) >>> deque(reversed(d)) # make a new deque in reverse order deque(['l', 'k', 'j', 'i', 'h', 'g']) >>> d.clear() # empty the deque >>> d.pop() # cannot pop from an empty...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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.. attribute:: maps A user updateable list of mappings. The list is ordered from first-searched to last-searched. It is the only stored state and can be modified to change which mappings are searched. The list should always contain at least one mapping.
trusted_official_docs
CPython Docs
.. attribute:: maps A user updateable list of mappings. The list is ordered from first-searched to last-searched. It is the only stored state and can be modified to change which mappings are searched. The list should always contain at least one mapping.
.. attribute:: maps A user updateable list of mappings. The list is ordered from first-searched to last-searched. It is the only stored state and can be modified to change which mappings are searched. The list should always contain at least one mapping.
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CPython Docs
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A counter tool is provided to support convenient and rapid tallies. For example:: >>> # Tally occurrences of words in a list >>> cnt = Counter() >>> for word in ['red', 'blue', 'red', 'green', 'blue', 'blue']: ... cnt[word] += 1 ... >>> cnt Counter({'blue': 3, 'red': 2, 'green': 1})
trusted_official_docs
CPython Docs
A counter tool is provided to support convenient and rapid tallies. For example:: >>> # Tally occurrences of words in a list >>> cnt = Counter() >>> for word in ['red', 'blue', 'red', 'green', 'blue', 'blue']: ... cnt[word] += 1 ... >>> cnt Counter({'blue': 3, 'red': 2, 'green': 1})
A counter tool is provided to support convenient and rapid tallies. For example:: >>> # Tally occurrences of words in a list >>> cnt = Counter() >>> for word in ['red', 'blue', 'red', 'green', 'blue', 'blue']: ... cnt[word] += 1 ... >>> cnt Counter({'blue': 3, 'red': 2, 'green': 1})
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Local_Trusted_Corpus
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CPython Docs
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.. doctest:: >>> c = Counter(a=3, b=1) >>> d = Counter(a=1, b=2) >>> c + d # add two counters together: c[x] + d[x] Counter({'a': 4, 'b': 3}) >>> c - d # subtract (keeping only positive counts) Counter({'a': 2}) >>> c & d # intersection: min(c[x], d[x]) Counter({'a': 1, 'b': 1}) >>> c | d # union: max(c[x], d[x...
trusted_official_docs
CPython Docs
.. doctest:: >>> c = Counter(a=3, b=1) >>> d = Counter(a=1, b=2) >>> c + d # add two counters together: c[x] + d[x] Counter({'a': 4, 'b': 3}) >>> c - d # subtract (keeping only positive counts) Counter({'a': 2}) >>> c & d # intersection: min(c[x], d[x]) Counter({'a': 1, 'b': 1}) >>> c | d # union: max(c[x], d[x...
.. doctest:: >>> c = Counter(a=3, b=1) >>> d = Counter(a=1, b=2) >>> c + d # add two counters together: c[x] + d[x] Counter({'a': 4, 'b': 3}) >>> c - d # subtract (keeping only positive counts) Counter({'a': 2}) >>> c & d # intersection: min(c[x], d[x]) Counter({'a': 1, 'b': 1}) >>> c | d # union: max(c[x], d[x...
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CPython Docs
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.. class:: UserString(seq) Class that simulates a string object. The instance's content is kept in a regular string object, which is accessible via the :attr:`data` attribute of :class:`UserString` instances. The instance's contents are initially set to a copy of *seq*. The *seq* argument can be any object which ca...
trusted_official_docs
CPython Docs
.. class:: UserString(seq) Class that simulates a string object. The instance's content is kept in a regular string object, which is accessible via the :attr:`data` attribute of :class:`UserString` instances. The instance's contents are initially set to a copy of *seq*. The *seq* argument can be any object which ca...
.. class:: UserString(seq) Class that simulates a string object. The instance's content is kept in a regular string object, which is accessible via the :attr:`data` attribute of :class:`UserString` instances. The instance's contents are initially set to a copy of *seq*. The *seq* argument can be any object which ca...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/collections.rst
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unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions. * The :class:`Counter` class itself is a dictionary subclass with no restrictions on its keys and values. The values are intended to be numbers represe...
trusted_official_docs
CPython Docs
unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions. * The :class:`Counter` class itself is a dictionary subclass with no restrictions on its keys and values. The values are intended to be numbers represe...
unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions. * The :class:`Counter` class itself is a dictionary subclass with no restrictions on its keys and values. The values are intended to be numbers represe...
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Local_Trusted_Corpus
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CPython Docs
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* The :meth:`~Counter.most_common` method requires only that the values be orderable. * For in-place operations such as ``c[key] += 1``, the value type need only support addition and subtraction. So fractions, floats, and decimals would work and negative values are supported. The same is also true for :meth:`~Counte...
trusted_official_docs
CPython Docs
* The :meth:`~Counter.most_common` method requires only that the values be orderable. * For in-place operations such as ``c[key] += 1``, the value type need only support addition and subtraction. So fractions, floats, and decimals would work and negative values are supported. The same is also true for :meth:`~Counte...
* The :meth:`~Counter.most_common` method requires only that the values be orderable. * For in-place operations such as ``c[key] += 1``, the value type need only support addition and subtraction. So fractions, floats, and decimals would work and negative values are supported. The same is also true for :meth:`~Counte...
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Local_Trusted_Corpus
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CPython Docs
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it = iter(iterable) d = deque(itertools.islice(it, n-1)) d.appendleft(0) s = sum(d) for elem in it: s += elem - d.popleft() d.append(elem) yield s / n A `round-robin scheduler <https://en.wikipedia.org/wiki/Round-robin_scheduling>`_ can be implemented with input iterators stored in a :class:`deque`. Values are yielded ...
trusted_official_docs
CPython Docs
it = iter(iterable) d = deque(itertools.islice(it, n-1)) d.appendleft(0) s = sum(d) for elem in it: s += elem - d.popleft() d.append(elem) yield s / n A `round-robin scheduler <https://en.wikipedia.org/wiki/Round-robin_scheduling>`_ can be implemented with input iterators stored in a :class:`deque`. Values are yielded ...
it = iter(iterable) d = deque(itertools.islice(it, n-1)) d.appendleft(0) s = sum(d) for elem in it: s += elem - d.popleft() d.append(elem) yield s / n A `round-robin scheduler <https://en.wikipedia.org/wiki/Round-robin_scheduling>`_ can be implemented with input iterators stored in a :class:`deque`. Values are yielded ...
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Local_Trusted_Corpus
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CPython Docs
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in d # Check all nested values len(d) # Number of nested values d.items() # All nested items dict(d) # Flatten into a regular dictionary The :class:`ChainMap` class only makes updates (writes and deletions) to the first mapping in the chain while lookups will search the full chain. However, if deep writes and deletions...
trusted_official_docs
CPython Docs
in d # Check all nested values len(d) # Number of nested values d.items() # All nested items dict(d) # Flatten into a regular dictionary The :class:`ChainMap` class only makes updates (writes and deletions) to the first mapping in the chain while lookups will search the full chain. However, if deep writes and deletions...
in d # Check all nested values len(d) # Number of nested values d.items() # All nested items dict(d) # Flatten into a regular dictionary The :class:`ChainMap` class only makes updates (writes and deletions) to the first mapping in the chain while lookups will search the full chain. However, if deep writes and deletions...
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CPython Docs
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and negative values are supported. The same is also true for :meth:`~Counter.update` and :meth:`~Counter.subtract` which allow negative and zero values for both inputs and outputs. * The multiset methods are designed only for use cases with positive values. The inputs may be negative or zero, but only outputs with posi...
trusted_official_docs
CPython Docs
and negative values are supported. The same is also true for :meth:`~Counter.update` and :meth:`~Counter.subtract` which allow negative and zero values for both inputs and outputs. * The multiset methods are designed only for use cases with positive values. The inputs may be negative or zero, but only outputs with posi...
and negative values are supported. The same is also true for :meth:`~Counter.update` and :meth:`~Counter.subtract` which allow negative and zero values for both inputs and outputs. * The multiset methods are designed only for use cases with positive values. The inputs may be negative or zero, but only outputs with posi...
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CPython Docs
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.. method:: move_to_end(key, last=True) Move an existing *key* to either end of an ordered dictionary. The item is moved to the right end if *last* is true (the default) or to the beginning if *last* is false. Raises :exc:`KeyError` if the *key* does not exist:
trusted_official_docs
CPython Docs
.. method:: move_to_end(key, last=True) Move an existing *key* to either end of an ordered dictionary. The item is moved to the right end if *last* is true (the default) or to the beginning if *last* is false. Raises :exc:`KeyError` if the *key* does not exist:
.. method:: move_to_end(key, last=True) Move an existing *key* to either end of an ordered dictionary. The item is moved to the right end if *last* is true (the default) or to the beginning if *last* is false. Raises :exc:`KeyError` if the *key* does not exist:
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Local_Trusted_Corpus
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CPython Docs
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first element. Indexed access is *O*\ (1) at both ends but slows to *O*\ (*n*) in the middle. For fast random access, use lists instead. Starting in version 3.5, deques support ``__add__()``, ``__mul__()``, and ``__imul__()``.
trusted_official_docs
CPython Docs
first element. Indexed access is *O*\ (1) at both ends but slows to *O*\ (*n*) in the middle. For fast random access, use lists instead. Starting in version 3.5, deques support ``__add__()``, ``__mul__()``, and ``__imul__()``.
first element. Indexed access is *O*\ (1) at both ends but slows to *O*\ (*n*) in the middle. For fast random access, use lists instead. Starting in version 3.5, deques support ``__add__()``, ``__mul__()``, and ``__imul__()``.
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D E B F C" iterators = deque(map(iter, iterables)) while iterators: try: while True: yield next(iterators[0]) iterators.rotate(-1) except StopIteration: # Remove an exhausted iterator. iterators.popleft() The :meth:`~deque.rotate` method provides a way to implement :class:`deque` slicing and deletion. For example, a pu...
trusted_official_docs
CPython Docs
D E B F C" iterators = deque(map(iter, iterables)) while iterators: try: while True: yield next(iterators[0]) iterators.rotate(-1) except StopIteration: # Remove an exhausted iterator. iterators.popleft() The :meth:`~deque.rotate` method provides a way to implement :class:`deque` slicing and deletion. For example, a pu...
D E B F C" iterators = deque(map(iter, iterables)) while iterators: try: while True: yield next(iterators[0]) iterators.rotate(-1) except StopIteration: # Remove an exhausted iterator. iterators.popleft() The :meth:`~deque.rotate` method provides a way to implement :class:`deque` slicing and deletion. For example, a pu...
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Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping. A :class:`ChainMap` incorporates the underlying mappings by reference. So, if one of the underlying mappings gets updated, those changes will be reflected in :class:...
trusted_official_docs
CPython Docs
Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping. A :class:`ChainMap` incorporates the underlying mappings by reference. So, if one of the underlying mappings gets updated, those changes will be reflected in :class:...
Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping. A :class:`ChainMap` incorporates the underlying mappings by reference. So, if one of the underlying mappings gets updated, those changes will be reflected in :class:...
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* See :meth:`types.SimpleNamespace` for a mutable namespace based on an underlying dictionary instead of a tuple. * The :mod:`dataclasses` module provides a decorator and functions for automatically adding generated special methods to user-defined classes.
trusted_official_docs
CPython Docs
* See :meth:`types.SimpleNamespace` for a mutable namespace based on an underlying dictionary instead of a tuple. * The :mod:`dataclasses` module provides a decorator and functions for automatically adding generated special methods to user-defined classes.
* See :meth:`types.SimpleNamespace` for a mutable namespace based on an underlying dictionary instead of a tuple. * The :mod:`dataclasses` module provides a decorator and functions for automatically adding generated special methods to user-defined classes.
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mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increment operation then builds up the count for each letter. The function :func:`int` which always returns zero is just a special case of constant functions. A faster and more flexible way to create c...
trusted_official_docs
CPython Docs
mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increment operation then builds up the count for each letter. The function :func:`int` which always returns zero is just a special case of constant functions. A faster and more flexible way to create c...
mapping, so the :attr:`~defaultdict.default_factory` function calls :func:`int` to supply a default count of zero. The increment operation then builds up the count for each letter. The function :func:`int` which always returns zero is just a special case of constant functions. A faster and more flexible way to create c...
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* The `MultiContext class <https://github.com/enthought/codetools/blob/4.0.0/codetools/contexts/multi_context.py>`_ in the Enthought `CodeTools package <https://github.com/enthought/codetools>`_ has options to support writing to any mapping in the chain. * Django's `Context class <https://github.com/django/django/blob...
trusted_official_docs
CPython Docs
* The `MultiContext class <https://github.com/enthought/codetools/blob/4.0.0/codetools/contexts/multi_context.py>`_ in the Enthought `CodeTools package <https://github.com/enthought/codetools>`_ has options to support writing to any mapping in the chain. * Django's `Context class <https://github.com/django/django/blob...
* The `MultiContext class <https://github.com/enthought/codetools/blob/4.0.0/codetools/contexts/multi_context.py>`_ in the Enthought `CodeTools package <https://github.com/enthought/codetools>`_ has options to support writing to any mapping in the chain. * Django's `Context class <https://github.com/django/django/blob...
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* The :class:`OrderedDict` was designed to be good at reordering operations. Space efficiency, iteration speed, and the performance of update operations were secondary. * The :class:`OrderedDict` algorithm can handle frequent reordering operations better than :class:`dict`. As shown in the recipes below, this makes it...
trusted_official_docs
CPython Docs
* The :class:`OrderedDict` was designed to be good at reordering operations. Space efficiency, iteration speed, and the performance of update operations were secondary. * The :class:`OrderedDict` algorithm can handle frequent reordering operations better than :class:`dict`. As shown in the recipes below, this makes it...
* The :class:`OrderedDict` was designed to be good at reordering operations. Space efficiency, iteration speed, and the performance of update operations were secondary. * The :class:`OrderedDict` algorithm can handle frequent reordering operations better than :class:`dict`. As shown in the recipes below, this makes it...
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have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior became guaranteed in Python 3.7). Some differences from :class:`dict` still remain:
trusted_official_docs
CPython Docs
have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior became guaranteed in Python 3.7). Some differences from :class:`dict` still remain:
have become less important now that the built-in :class:`dict` class gained the ability to remember insertion order (this new behavior became guaranteed in Python 3.7). Some differences from :class:`dict` still remain:
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* See :class:`typing.NamedTuple` for a way to add type hints for named tuples. It also provides an elegant notation using the :keyword:`class` keyword:: class Component(NamedTuple): part_number: int weight: float description: Optional[str] = None
trusted_official_docs
CPython Docs
* See :class:`typing.NamedTuple` for a way to add type hints for named tuples. It also provides an elegant notation using the :keyword:`class` keyword:: class Component(NamedTuple): part_number: int weight: float description: Optional[str] = None
* See :class:`typing.NamedTuple` for a way to add type hints for named tuples. It also provides an elegant notation using the :keyword:`class` keyword:: class Component(NamedTuple): part_number: int weight: float description: Optional[str] = None
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.. method:: new_child(m=None, **kwargs) Returns a new :class:`ChainMap` containing a new map followed by all of the maps in the current instance. If ``m`` is specified, it becomes the new map at the front of the list of mappings; if not specified, an empty dict is used, so that a call to ``d.new_child()`` is equiva...
trusted_official_docs
CPython Docs
.. method:: new_child(m=None, **kwargs) Returns a new :class:`ChainMap` containing a new map followed by all of the maps in the current instance. If ``m`` is specified, it becomes the new map at the front of the list of mappings; if not specified, an empty dict is used, so that a call to ``d.new_child()`` is equiva...
.. method:: new_child(m=None, **kwargs) Returns a new :class:`ChainMap` containing a new map followed by all of the maps in the current instance. If ``m`` is specified, it becomes the new map at the front of the list of mappings; if not specified, an empty dict is used, so that a call to ``d.new_child()`` is equiva...
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CPython Docs
file://datasets/cpython/Doc/library/collections.rst
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supabase-export-v2
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.. note:: Counters were primarily designed to work with positive integers to represent running counts; however, care was taken to not unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions.
trusted_official_docs
CPython Docs
.. note:: Counters were primarily designed to work with positive integers to represent running counts; however, care was taken to not unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions.
.. note:: Counters were primarily designed to work with positive integers to represent running counts; however, care was taken to not unnecessarily preclude use cases needing other types or negative values. To help with those use cases, this section documents the minimum range and type restrictions.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/collections.rst
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queue"). Deques support thread-safe, memory efficient appends and pops from either side of the deque with approximately the same *O*\ (1) performance in either direction. Though :class:`list` objects support similar operations, they are optimized for fast fixed-length operations and incur *O*\ (*n*) memory movement co...
trusted_official_docs
CPython Docs
queue"). Deques support thread-safe, memory efficient appends and pops from either side of the deque with approximately the same *O*\ (1) performance in either direction. Though :class:`list` objects support similar operations, they are optimized for fast fixed-length operations and incur *O*\ (*n*) memory movement co...
queue"). Deques support thread-safe, memory efficient appends and pops from either side of the deque with approximately the same *O*\ (1) performance in either direction. Though :class:`list` objects support similar operations, they are optimized for fast fixed-length operations and incur *O*\ (*n*) memory movement co...
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CPython Docs
file://datasets/cpython/Doc/library/collections.rst
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.. doctest:: >>> from collections import deque >>> d = deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I
trusted_official_docs
CPython Docs
.. doctest:: >>> from collections import deque >>> d = deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I
.. doctest:: >>> from collections import deque >>> d = deque('ghi') # make a new deque with three items >>> for elem in d: # iterate over the deque's elements ... print(elem.upper()) G H I
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CPython Docs
file://datasets/cpython/Doc/library/collections.rst
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c = Counter({'red': 4, 'blue': 2}) # a new counter from a mapping >>> c = Counter(cats=4, dogs=8) # a new counter from keyword args Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`:
trusted_official_docs
CPython Docs
c = Counter({'red': 4, 'blue': 2}) # a new counter from a mapping >>> c = Counter(cats=4, dogs=8) # a new counter from keyword args Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`:
c = Counter({'red': 4, 'blue': 2}) # a new counter from a mapping >>> c = Counter(cats=4, dogs=8) # a new counter from keyword args Counter objects have a dictionary interface except that they return a zero count for missing items instead of raising a :exc:`KeyError`:
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CPython Docs
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supabase-export-v2
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note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common terminal control characters are supported: * :kbd:`Ctrl+A` - Move cursor to beginning of line * :kbd:`Ctrl+E` - Move cursor to end of line * ...
trusted_official_docs
CPython Docs
note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common terminal control characters are supported: * :kbd:`Ctrl+A` - Move cursor to beginning of line * :kbd:`Ctrl+E` - Move cursor to end of line * ...
note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common terminal control characters are supported: * :kbd:`Ctrl+A` - Move cursor to beginning of line * :kbd:`Ctrl+E` - Move cursor to end of line * ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself. .. note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common te...
trusted_official_docs
CPython Docs
If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself. .. note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common te...
If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself. .. note:: On Unix systems, when *echo_char* is set, the terminal will be configured to operate in :manpage:`noncanonical mode <termios(3)#Canonical_and_noncanonical_mode>`. Common te...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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supabase-export-v2
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Kill (delete) entire line * :kbd:`Ctrl+W` - Erase previous word * :kbd:`Ctrl+V` - Insert next character literally (quote) * :kbd:`Backspace`/:kbd:`DEL` - Delete character before cursor These shortcuts work by reading the terminal's configured control character mappings from termios settings.
trusted_official_docs
CPython Docs
Kill (delete) entire line * :kbd:`Ctrl+W` - Erase previous word * :kbd:`Ctrl+V` - Insert next character literally (quote) * :kbd:`Backspace`/:kbd:`DEL` - Delete character before cursor These shortcuts work by reading the terminal's configured control character mappings from termios settings.
Kill (delete) entire line * :kbd:`Ctrl+W` - Erase previous word * :kbd:`Ctrl+V` - Insert next character literally (quote) * :kbd:`Backspace`/:kbd:`DEL` - Delete character before cursor These shortcuts work by reading the terminal's configured control character mappings from termios settings.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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supabase-export-v2
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Return the "login name" of the user. This function checks the environment variables :envvar:`LOGNAME`, :envvar:`USER`, :envvar:`!LNAME` and :envvar:`USERNAME`, in order, and returns the value of the first one which is set to a non-empty string. If none are set, the login name from the password database is returned o...
trusted_official_docs
CPython Docs
Return the "login name" of the user. This function checks the environment variables :envvar:`LOGNAME`, :envvar:`USER`, :envvar:`!LNAME` and :envvar:`USERNAME`, in order, and returns the value of the first one which is set to a non-empty string. If none are set, the login name from the password database is returned o...
Return the "login name" of the user. This function checks the environment variables :envvar:`LOGNAME`, :envvar:`USER`, :envvar:`!LNAME` and :envvar:`USERNAME`, in order, and returns the value of the first one which is set to a non-empty string. If none are set, the login name from the password database is returned o...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPassWarning`. .. note:: If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself.
trusted_official_docs
CPython Docs
If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPassWarning`. .. note:: If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself.
If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPassWarning`. .. note:: If you call getpass from within IDLE, the input may be done in the terminal you launched IDLE from rather than the idle window itself.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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supabase-export-v2
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replace error handler if needed. *stream* defaults to the controlling terminal (:file:`/dev/tty`) or if that is unavailable to ``sys.stderr`` (this argument is ignored on Windows). The *echo_char* argument controls how user input is displayed while typing. If *echo_char* is ``None`` (default), input remains hidden. Oth...
trusted_official_docs
CPython Docs
replace error handler if needed. *stream* defaults to the controlling terminal (:file:`/dev/tty`) or if that is unavailable to ``sys.stderr`` (this argument is ignored on Windows). The *echo_char* argument controls how user input is displayed while typing. If *echo_char* is ``None`` (default), input remains hidden. Oth...
replace error handler if needed. *stream* defaults to the controlling terminal (:file:`/dev/tty`) or if that is unavailable to ``sys.stderr`` (this argument is ignored on Windows). The *echo_char* argument controls how user input is displayed while typing. If *echo_char* is ``None`` (default), input remains hidden. Oth...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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.. function:: getpass(prompt='Password: ', stream=None, *, echo_char=None) Prompt the user for a password without echoing. The user is prompted using the string *prompt*, which defaults to ``'Password: '``. On Unix, the prompt is written to the file-like object *stream* using the replace error handler if needed. *st...
trusted_official_docs
CPython Docs
.. function:: getpass(prompt='Password: ', stream=None, *, echo_char=None) Prompt the user for a password without echoing. The user is prompted using the string *prompt*, which defaults to ``'Password: '``. On Unix, the prompt is written to the file-like object *stream* using the replace error handler if needed. *st...
.. function:: getpass(prompt='Password: ', stream=None, *, echo_char=None) Prompt the user for a password without echoing. The user is prompted using the string *prompt*, which defaults to ``'Password: '``. On Unix, the prompt is written to the file-like object *stream* using the replace error handler if needed. *st...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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eabaa7c1-17c1-48d5-988f-f3630d325788
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supabase-export-v2
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If none are set, the login name from the password database is returned on systems which support the :mod:`pwd` module, otherwise, an :exc:`OSError` is raised. In general, this function should be preferred over :func:`os.getlogin`.
trusted_official_docs
CPython Docs
If none are set, the login name from the password database is returned on systems which support the :mod:`pwd` module, otherwise, an :exc:`OSError` is raised. In general, this function should be preferred over :func:`os.getlogin`.
If none are set, the login name from the password database is returned on systems which support the :mod:`pwd` module, otherwise, an :exc:`OSError` is raised. In general, this function should be preferred over :func:`os.getlogin`.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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supabase-export-v2
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be a single printable ASCII character and each typed character is replaced by it. For example, ``echo_char='*'`` will display asterisks instead of the actual input. If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPa...
trusted_official_docs
CPython Docs
be a single printable ASCII character and each typed character is replaced by it. For example, ``echo_char='*'`` will display asterisks instead of the actual input. If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPa...
be a single printable ASCII character and each typed character is replaced by it. For example, ``echo_char='*'`` will display asterisks instead of the actual input. If echo free input is unavailable getpass() falls back to printing a warning message to *stream* and reading from ``sys.stdin`` and issuing a :exc:`GetPa...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/getpass.rst
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.. versionchanged:: 3.14 Added the *echo_char* parameter for keyboard feedback. .. versionchanged:: 3.15 When using non-empty *echo_char* on Unix, keyboard shortcuts (including cursor movement and line editing) are now properly handled using the terminal's control character configuration.
trusted_official_docs
CPython Docs
.. versionchanged:: 3.14 Added the *echo_char* parameter for keyboard feedback. .. versionchanged:: 3.15 When using non-empty *echo_char* on Unix, keyboard shortcuts (including cursor movement and line editing) are now properly handled using the terminal's control character configuration.
.. versionchanged:: 3.14 Added the *echo_char* parameter for keyboard feedback. .. versionchanged:: 3.15 When using non-empty *echo_char* on Unix, keyboard shortcuts (including cursor movement and line editing) are now properly handled using the terminal's control character configuration.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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files.joinpath('subdir', 'subsuddir', 'file.txt') files.joinpath('subdir/subsuddir/file.txt') Note that some :class:`!Traversable` implementations might not be updated to the latest version of the protocol. For compatibility with such implementations, provide a single argument without path separators to each call to ...
trusted_official_docs
CPython Docs
files.joinpath('subdir', 'subsuddir', 'file.txt') files.joinpath('subdir/subsuddir/file.txt') Note that some :class:`!Traversable` implementations might not be updated to the latest version of the protocol. For compatibility with such implementations, provide a single argument without path separators to each call to ...
files.joinpath('subdir', 'subsuddir', 'file.txt') files.joinpath('subdir/subsuddir/file.txt') Note that some :class:`!Traversable` implementations might not be updated to the latest version of the protocol. For compatibility with such implementations, provide a single argument without path separators to each call to ...
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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is also why instances of this class are expected to directly correlate to a specific package (instead of potentially representing multiple packages or a module). Loaders that wish to support resource reading are expected to provide a method called ``get_resource_reader(fullname)`` which returns an object implementing...
trusted_official_docs
CPython Docs
is also why instances of this class are expected to directly correlate to a specific package (instead of potentially representing multiple packages or a module). Loaders that wish to support resource reading are expected to provide a method called ``get_resource_reader(fullname)`` which returns an object implementing...
is also why instances of this class are expected to directly correlate to a specific package (instead of potentially representing multiple packages or a module). Loaders that wish to support resource reading are expected to provide a method called ``get_resource_reader(fullname)`` which returns an object implementing...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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not a package, this method should return :const:`None`. An object compatible with this ABC should only be returned when the specified module is a package. .. deprecated:: 3.12 Use :class:`importlib.resources.abc.TraversableResources` instead.
trusted_official_docs
CPython Docs
not a package, this method should return :const:`None`. An object compatible with this ABC should only be returned when the specified module is a package. .. deprecated:: 3.12 Use :class:`importlib.resources.abc.TraversableResources` instead.
not a package, this method should return :const:`None`. An object compatible with this ABC should only be returned when the specified module is a package. .. deprecated:: 3.12 Use :class:`importlib.resources.abc.TraversableResources` instead.
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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so that it does not matter if the package and its data file(s) are stored e.g. in a zip file versus on the file system. For any of methods of this class, a *resource* argument is expected to be a :term:`path-like object` which represents conceptually just a file name. This means that no subdirectory paths should be ...
trusted_official_docs
CPython Docs
so that it does not matter if the package and its data file(s) are stored e.g. in a zip file versus on the file system. For any of methods of this class, a *resource* argument is expected to be a :term:`path-like object` which represents conceptually just a file name. This means that no subdirectory paths should be ...
so that it does not matter if the package and its data file(s) are stored e.g. in a zip file versus on the file system. For any of methods of this class, a *resource* argument is expected to be a :term:`path-like object` which represents conceptually just a file name. This means that no subdirectory paths should be ...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!TraversableResources` also supplies :class:`!ResourceReader`. Loaders that wish to sup...
trusted_official_docs
CPython Docs
capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!TraversableResources` also supplies :class:`!ResourceReader`. Loaders that wish to sup...
capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!TraversableResources` also supplies :class:`!ResourceReader`. Loaders that wish to sup...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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.. method:: contents() :abstractmethod: Returns an :term:`iterable` of strings over the contents of the package. Do note that it is not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false.
trusted_official_docs
CPython Docs
.. method:: contents() :abstractmethod: Returns an :term:`iterable` of strings over the contents of the package. Do note that it is not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false.
.. method:: contents() :abstractmethod: Returns an :term:`iterable` of strings over the contents of the package. Do note that it is not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false.
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false. Allowing non-resource names to be returned is to allow for situations where how a package and its resources are stored are known a priori and the non-resource n...
trusted_official_docs
CPython Docs
not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false. Allowing non-resource names to be returned is to allow for situations where how a package and its resources are stored are known a priori and the non-resource n...
not required that all names returned by the iterator be actual resources, e.g. it is acceptable to return names for which :meth:`is_resource` would be false. Allowing non-resource names to be returned is to allow for situations where how a package and its resources are stored are known a priori and the non-resource n...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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.. class:: TraversableResources An abstract base class for resource readers capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!Trave...
trusted_official_docs
CPython Docs
.. class:: TraversableResources An abstract base class for resource readers capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!Trave...
.. class:: TraversableResources An abstract base class for resource readers capable of serving the :meth:`importlib.resources.files` interface. Subclasses :class:`ResourceReader` and provides concrete implementations of the :class:`!ResourceReader`'s abstract methods. Therefore, any loader supplying :class:`!Trave...
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*mode* may be 'r' or 'rb' to open as text or binary. Return a handle suitable for reading (same as :attr:`pathlib.Path.open`). When opening as text, accepts encoding parameters such as those accepted by :class:`io.TextIOWrapper`.
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*mode* may be 'r' or 'rb' to open as text or binary. Return a handle suitable for reading (same as :attr:`pathlib.Path.open`). When opening as text, accepts encoding parameters such as those accepted by :class:`io.TextIOWrapper`.
*mode* may be 'r' or 'rb' to open as text or binary. Return a handle suitable for reading (same as :attr:`pathlib.Path.open`). When opening as text, accepts encoding parameters such as those accepted by :class:`io.TextIOWrapper`.
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CPython Docs
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Traverse directories according to *pathsegments* and return the result as :class:`!Traversable`. Each *pathsegments* argument may contain multiple names separated by forward slashes (``/``, ``posixpath.sep`` ). For example, the following are equivalent::
trusted_official_docs
CPython Docs
Traverse directories according to *pathsegments* and return the result as :class:`!Traversable`. Each *pathsegments* argument may contain multiple names separated by forward slashes (``/``, ``posixpath.sep`` ). For example, the following are equivalent::
Traverse directories according to *pathsegments* and return the result as :class:`!Traversable`. Each *pathsegments* argument may contain multiple names separated by forward slashes (``/``, ``posixpath.sep`` ). For example, the following are equivalent::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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An :term:`abstract base class` to provide the ability to read *resources*. From the perspective of this ABC, a *resource* is a binary artifact that is shipped within a package. Typically this is something like a data file that lives next to the ``__init__.py`` file of the package. The purpose of this class is to hel...
trusted_official_docs
CPython Docs
An :term:`abstract base class` to provide the ability to read *resources*. From the perspective of this ABC, a *resource* is a binary artifact that is shipped within a package. Typically this is something like a data file that lives next to the ``__init__.py`` file of the package. The purpose of this class is to hel...
An :term:`abstract base class` to provide the ability to read *resources*. From the perspective of this ABC, a *resource* is a binary artifact that is shipped within a package. Typically this is something like a data file that lives next to the ``__init__.py`` file of the package. The purpose of this class is to hel...
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CPython Docs
file://datasets/cpython/Doc/library/importlib.resources.abc.rst
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so that when it is known that the package and resources are stored on the file system then those subdirectory names can be used directly. The abstract method returns an iterable of no items.
trusted_official_docs
CPython Docs
so that when it is known that the package and resources are stored on the file system then those subdirectory names can be used directly. The abstract method returns an iterable of no items.
so that when it is known that the package and resources are stored on the file system then those subdirectory names can be used directly. The abstract method returns an iterable of no items.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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******************** Binary Data Services ******************** The modules described in this chapter provide some basic services operations for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections.
trusted_official_docs
CPython Docs
******************** Binary Data Services ******************** The modules described in this chapter provide some basic services operations for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections.
******************** Binary Data Services ******************** The modules described in this chapter provide some basic services operations for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections.
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CPython Docs
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for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections. Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (...
trusted_official_docs
CPython Docs
for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections. Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (...
for manipulation of binary data. Other operations on binary data, specifically in relation to file formats and network protocols, are described in the relevant sections. Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (...
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Local_Trusted_Corpus
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CPython Docs
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Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (for example, :mod:`difflib`). In addition, see the documentation for Python's built-in binary data types in :ref:`binaryseq`.
trusted_official_docs
CPython Docs
Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (for example, :mod:`difflib`). In addition, see the documentation for Python's built-in binary data types in :ref:`binaryseq`.
Some libraries described under :ref:`textservices` also work with either ASCII-compatible binary formats (for example, :mod:`re`) or all binary data (for example, :mod:`difflib`). In addition, see the documentation for Python's built-in binary data types in :ref:`binaryseq`.
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CPython Docs
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part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!nis` module was `Python 3.12 <https://docs.python.org/3.12/library/nis.html>`_.
trusted_official_docs
CPython Docs
part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!nis` module was `Python 3.12 <https://docs.python.org/3.12/library/nis.html>`_.
part of the Python standard library. It was :ref:`removed in Python 3.13 <whatsnew313-pep594>` after being deprecated in Python 3.11. The removal was decided in :pep:`594`. The last version of Python that provided the :mod:`!nis` module was `Python 3.12 <https://docs.python.org/3.12/library/nis.html>`_.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/zipfile.rst
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.. method:: ZipFile.extract(member, path=None, pwd=None) Extract a member from the archive to the current working directory; *member* must be its full name or a :class:`ZipInfo` object. Its file information is extracted as accurately as possible. *path* specifies a different directory to extract to. *member* can be ...
trusted_official_docs
CPython Docs
.. method:: ZipFile.extract(member, path=None, pwd=None) Extract a member from the archive to the current working directory; *member* must be its full name or a :class:`ZipInfo` object. Its file information is extracted as accurately as possible. *path* specifies a different directory to extract to. *member* can be ...
.. method:: ZipFile.extract(member, path=None, pwd=None) Extract a member from the archive to the current working directory; *member* must be its full name or a :class:`ZipInfo` object. Its file information is extracted as accurately as possible. *path* specifies a different directory to extract to. *member* can be ...
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CPython Docs
file://datasets/cpython/Doc/library/zipfile.rst
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member filename will be removed, e.g.: ``../../foo../../ba..r`` becomes ``foo../ba..r``. On Windows illegal characters (``:``, ``<``, ``>``, ``|``, ``"``, ``?``, and ``*``) replaced by underscore (``_``). .. versionchanged:: 3.6 Calling :meth:`extract` on a closed ZipFile will raise a :exc:`ValueError`. Previously, a...
trusted_official_docs
CPython Docs
member filename will be removed, e.g.: ``../../foo../../ba..r`` becomes ``foo../ba..r``. On Windows illegal characters (``:``, ``<``, ``>``, ``|``, ``"``, ``?``, and ``*``) replaced by underscore (``_``). .. versionchanged:: 3.6 Calling :meth:`extract` on a closed ZipFile will raise a :exc:`ValueError`. Previously, a...
member filename will be removed, e.g.: ``../../foo../../ba..r`` becomes ``foo../ba..r``. On Windows illegal characters (``:``, ``<``, ``>``, ``|``, ``"``, ``?``, and ``*``) replaced by underscore (``_``). .. versionchanged:: 3.6 Calling :meth:`extract` on a closed ZipFile will raise a :exc:`ValueError`. Previously, a...
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Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/zipfile.rst
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.. attribute:: ZipFile.comment The comment associated with the ZIP file as a :class:`bytes` object. If assigning a comment to a :class:`ZipFile` instance created with mode ``'w'``, ``'x'`` or ``'a'``, it should be no longer than 65535 bytes. Comments longer than this will be truncated.
trusted_official_docs
CPython Docs
.. attribute:: ZipFile.comment The comment associated with the ZIP file as a :class:`bytes` object. If assigning a comment to a :class:`ZipFile` instance created with mode ``'w'``, ``'x'`` or ``'a'``, it should be no longer than 65535 bytes. Comments longer than this will be truncated.
.. attribute:: ZipFile.comment The comment associated with the ZIP file as a :class:`bytes` object. If assigning a comment to a :class:`ZipFile` instance created with mode ``'w'``, ``'x'`` or ``'a'``, it should be no longer than 65535 bytes. Comments longer than this will be truncated.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/zipfile.rst
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added under the package name as a file path, and if any subdirectories are package directories, all of these are added recursively in sorted order. *basename* is intended for internal use only.
trusted_official_docs
CPython Docs
added under the package name as a file path, and if any subdirectories are package directories, all of these are added recursively in sorted order. *basename* is intended for internal use only.
added under the package name as a file path, and if any subdirectories are package directories, all of these are added recursively in sorted order. *basename* is intended for internal use only.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/library/zipfile.rst
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.. note:: In APPNOTE 6.3.7, the method ID ``20`` was assigned to Zstandard compression. This was changed in APPNOTE 6.3.8 to method ID ``93`` to avoid conflicts, with method ID ``20`` being deprecated. For compatibility, the :mod:`!zipfile` module reads both method IDs but will only write data with method ID ``93``...
trusted_official_docs
CPython Docs
.. note:: In APPNOTE 6.3.7, the method ID ``20`` was assigned to Zstandard compression. This was changed in APPNOTE 6.3.8 to method ID ``93`` to avoid conflicts, with method ID ``20`` being deprecated. For compatibility, the :mod:`!zipfile` module reads both method IDs but will only write data with method ID ``93``...
.. note:: In APPNOTE 6.3.7, the method ID ``20`` was assigned to Zstandard compression. This was changed in APPNOTE 6.3.8 to method ID ``93`` to avoid conflicts, with method ID ``20`` being deprecated. For compatibility, the :mod:`!zipfile` module reads both method IDs but will only write data with method ID ``93``...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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File system limitations ~~~~~~~~~~~~~~~~~~~~~~~ Exceeding limitations on different file systems can cause decompression failed. Such as allowable characters in the directory entries, length of the file name, length of the pathname, size of a single file, and number of files, etc.
trusted_official_docs
CPython Docs
File system limitations ~~~~~~~~~~~~~~~~~~~~~~~ Exceeding limitations on different file systems can cause decompression failed. Such as allowable characters in the directory entries, length of the file name, length of the pathname, size of a single file, and number of files, etc.
File system limitations ~~~~~~~~~~~~~~~~~~~~~~~ Exceeding limitations on different file systems can cause decompression failed. Such as allowable characters in the directory entries, length of the file name, length of the pathname, size of a single file, and number of files, etc.
python, official-docs, cpython, P0
Local_Trusted_Corpus