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ea93548f-944b-49b1-8a56-caa78c586991
CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
unknown
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match point: case (0, 0): print("Origin") case (0, y): print(f"Y={y}") case (x, 0): print(f"X={x}") case (x, y): print(f"X={x}, Y={y}") case _: raise ValueError("Not a point") Study that one carefully! The first pattern has two literals, and can be thought of as an extension of the literal pattern shown above. But the ...
trusted_official_docs
CPython Docs
match point: case (0, 0): print("Origin") case (0, y): print(f"Y={y}") case (x, 0): print(f"X={x}") case (x, y): print(f"X={x}, Y={y}") case _: raise ValueError("Not a point") Study that one carefully! The first pattern has two literals, and can be thought of as an extension of the literal pattern shown above. But the ...
match point: case (0, 0): print("Origin") case (0, y): print(f"Y={y}") case (x, 0): print(f"X={x}") case (x, y): print(f"X={x}, Y={y}") case _: raise ValueError("Not a point") Study that one carefully! The first pattern has two literals, and can be thought of as an extension of the literal pattern shown above. But the ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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a very readable and eye-pleasing coding style. Every Python developer should read it at some point; here are the most important points extracted for you: * Use 4-space indentation, and no tabs.
trusted_official_docs
CPython Docs
a very readable and eye-pleasing coding style. Every Python developer should read it at some point; here are the most important points extracted for you: * Use 4-space indentation, and no tabs.
a very readable and eye-pleasing coding style. Every Python developer should read it at some point; here are the most important points extracted for you: * Use 4-space indentation, and no tabs.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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be tricky to get right. Instead, it is usually more straight-forward to loop over a copy of the collection or to create a new collection:: # Create a sample collection users = {'Hans': 'active', 'Éléonore': 'inactive', '景太郎': 'active'}
trusted_official_docs
CPython Docs
be tricky to get right. Instead, it is usually more straight-forward to loop over a copy of the collection or to create a new collection:: # Create a sample collection users = {'Hans': 'active', 'Éléonore': 'inactive', '景太郎': 'active'}
be tricky to get right. Instead, it is usually more straight-forward to loop over a copy of the collection or to create a new collection:: # Create a sample collection users = {'Hans': 'active', 'Éléonore': 'inactive', '景太郎': 'active'}
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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Here are some conventions about the content and formatting of documentation strings. The first line should always be a short, concise summary of the object's purpose. For brevity, it should not explicitly state the object's name or type, since these are available by other means (except if the name happens to be a verb ...
trusted_official_docs
CPython Docs
Here are some conventions about the content and formatting of documentation strings. The first line should always be a short, concise summary of the object's purpose. For brevity, it should not explicitly state the object's name or type, since these are available by other means (except if the name happens to be a verb ...
Here are some conventions about the content and formatting of documentation strings. The first line should always be a short, concise summary of the object's purpose. For brevity, it should not explicitly state the object's name or type, since these are available by other means (except if the name happens to be a verb ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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.. index:: single: documentation strings single: docstrings single: strings, documentation The keyword :keyword:`def` introduces a function *definition*. It must be followed by the function name and the parenthesized list of formal parameters. The statements that form the body of the function start at the next line, an...
trusted_official_docs
CPython Docs
.. index:: single: documentation strings single: docstrings single: strings, documentation The keyword :keyword:`def` introduces a function *definition*. It must be followed by the function name and the parenthesized list of formal parameters. The statements that form the body of the function start at the next line, an...
.. index:: single: documentation strings single: docstrings single: strings, documentation The keyword :keyword:`def` introduces a function *definition*. It must be followed by the function name and the parenthesized list of formal parameters. The statements that form the body of the function start at the next line, an...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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- Patterns may use named constants. These must be dotted names to prevent them from being interpreted as capture variables:: from enum import Enum class Color(Enum): RED = 'red' GREEN = 'green' BLUE = 'blue'
trusted_official_docs
CPython Docs
- Patterns may use named constants. These must be dotted names to prevent them from being interpreted as capture variables:: from enum import Enum class Color(Enum): RED = 'red' GREEN = 'green' BLUE = 'blue'
- Patterns may use named constants. These must be dotted names to prevent them from being interpreted as capture variables:: from enum import Enum class Color(Enum): RED = 'red' GREEN = 'green' BLUE = 'blue'
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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Here is an example of a multi-line docstring:: >>> def my_function(): ... """Do nothing, but document it. ... ... No, really, it doesn't do anything: ... ... >>> my_function() ... >>> ... """ ... pass ... >>> print(my_function.__doc__) Do nothing, but document it.
trusted_official_docs
CPython Docs
Here is an example of a multi-line docstring:: >>> def my_function(): ... """Do nothing, but document it. ... ... No, really, it doesn't do anything: ... ... >>> my_function() ... >>> ... """ ... pass ... >>> print(my_function.__doc__) Do nothing, but document it.
Here is an example of a multi-line docstring:: >>> def my_function(): ... """Do nothing, but document it. ... ... No, really, it doesn't do anything: ... ... >>> my_function() ... >>> ... """ ... pass ... >>> print(my_function.__doc__) Do nothing, but document it.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
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times. If the condition is ever true, a ``break`` will happen. If the condition is never true, the ``else`` clause outside the loop will execute. When used with a loop, the ``else`` clause has more in common with the ``else`` clause of a :keyword:`try` statement than it does with that of ``if`` statements: a ``try`` st...
trusted_official_docs
CPython Docs
times. If the condition is ever true, a ``break`` will happen. If the condition is never true, the ``else`` clause outside the loop will execute. When used with a loop, the ``else`` clause has more in common with the ``else`` clause of a :keyword:`try` statement than it does with that of ``if`` statements: a ``try`` st...
times. If the condition is ever true, a ``break`` will happen. If the condition is never true, the ``else`` clause outside the loop will execute. When used with a loop, the ``else`` clause has more in common with the ``else`` clause of a :keyword:`try` statement than it does with that of ``if`` statements: a ``try`` st...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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d304f339-96c1-4452-8a50-5478780d9bd7
53,523
supabase-export-v2
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.. index:: single: * (asterisk); in function calls Finally, the least frequently used option is to specify that a function can be called with an arbitrary number of arguments. These arguments will be wrapped up in a tuple (see :ref:`tut-tuples`). Before the variable number of arguments, zero or more normal arguments ma...
trusted_official_docs
CPython Docs
.. index:: single: * (asterisk); in function calls Finally, the least frequently used option is to specify that a function can be called with an arbitrary number of arguments. These arguments will be wrapped up in a tuple (see :ref:`tut-tuples`). Before the variable number of arguments, zero or more normal arguments ma...
.. index:: single: * (asterisk); in function calls Finally, the least frequently used option is to specify that a function can be called with an arbitrary number of arguments. These arguments will be wrapped up in a tuple (see :ref:`tut-tuples`). Before the variable number of arguments, zero or more normal arguments ma...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
unknown
d304f339-96c1-4452-8a50-5478780d9bd7
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supabase-export-v2
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Of course, other ways of ending the loop early, such as a :keyword:`return` or a raised exception, will also skip execution of the :keyword:`else` clause. This is exemplified in the following :keyword:`!for` loop, which searches for prime numbers::
trusted_official_docs
CPython Docs
Of course, other ways of ending the loop early, such as a :keyword:`return` or a raised exception, will also skip execution of the :keyword:`else` clause. This is exemplified in the following :keyword:`!for` loop, which searches for prime numbers::
Of course, other ways of ending the loop early, such as a :keyword:`return` or a raised exception, will also skip execution of the :keyword:`else` clause. This is exemplified in the following :keyword:`!for` loop, which searches for prime numbers::
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/controlflow.rst
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d304f339-96c1-4452-8a50-5478780d9bd7
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supabase-export-v2
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combined_example(pos_only=1, standard=2, kwd_only=3) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: combined_example() got some positional-only arguments passed as keyword arguments: 'pos_only' Finally, consider this function definition which has a potential collision between the posi...
trusted_official_docs
CPython Docs
combined_example(pos_only=1, standard=2, kwd_only=3) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: combined_example() got some positional-only arguments passed as keyword arguments: 'pos_only' Finally, consider this function definition which has a potential collision between the posi...
combined_example(pos_only=1, standard=2, kwd_only=3) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: combined_example() got some positional-only arguments passed as keyword arguments: 'pos_only' Finally, consider this function definition which has a potential collision between the posi...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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53a7e13f-0005-4f51-a36f-f6111cfabb2e
53,582
supabase-export-v2
7f239cf3ff924ca2
Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12`` will install version 3.12. To create a virtual environment, decide upon a directory where you want to place it, and run the :mod:`venv` module as a script with the direc...
trusted_official_docs
CPython Docs
Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12`` will install version 3.12. To create a virtual environment, decide upon a directory where you want to place it, and run the :mod:`venv` module as a script with the direc...
Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12`` will install version 3.12. To create a virtual environment, decide upon a directory where you want to place it, and run the :mod:`venv` module as a script with the direc...
python, official-docs, cpython, P0
Local_Trusted_Corpus
19afec96-a5fd-4ef0-80e6-4d2e1cb5ca22
CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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.. code-block:: console (tutorial-env) $ python -m pip show requests --- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutoria...
trusted_official_docs
CPython Docs
.. code-block:: console (tutorial-env) $ python -m pip show requests --- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutoria...
.. code-block:: console (tutorial-env) $ python -m pip show requests --- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutoria...
python, official-docs, cpython, P0
Local_Trusted_Corpus
1ab9fbe5-b96f-41b2-92e5-e9ac7e8b1066
CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0 ``python -m pip uninstall`` followed by one or more package names wi...
trusted_official_docs
CPython Docs
python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0 ``python -m pip uninstall`` followed by one or more package names wi...
python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0 ``python -m pip uninstall`` followed by one or more package names wi...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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.. code-block:: console (tutorial-env) $ python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0
trusted_official_docs
CPython Docs
.. code-block:: console (tutorial-env) $ python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0
.. code-block:: console (tutorial-env) $ python -m pip install --upgrade requests Collecting requests Installing collected packages: requests Found existing installation: requests 2.6.0 Uninstalling requests-2.6.0: Successfully uninstalled requests-2.6.0 Successfully installed requests-2.7.0
python, official-docs, cpython, P0
Local_Trusted_Corpus
49a799dc-5314-4ea8-96f5-14fc11473364
CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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(tutorial-env) $ python -m pip list novas (3.1.1.3) numpy (1.9.2) pip (7.0.3) requests (2.7.0) setuptools (16.0) ``python -m pip freeze`` will produce a similar list of the installed packages, but the output uses the format that ``python -m pip install`` expects. A common convention is to put this list in a ``requireme...
trusted_official_docs
CPython Docs
(tutorial-env) $ python -m pip list novas (3.1.1.3) numpy (1.9.2) pip (7.0.3) requests (2.7.0) setuptools (16.0) ``python -m pip freeze`` will produce a similar list of the installed packages, but the output uses the format that ``python -m pip install`` expects. A common convention is to put this list in a ``requireme...
(tutorial-env) $ python -m pip list novas (3.1.1.3) numpy (1.9.2) pip (7.0.3) requests (2.7.0) setuptools (16.0) ``python -m pip freeze`` will produce a similar list of the installed packages, but the output uses the format that ``python -m pip install`` expects. A common convention is to put this list in a ``requireme...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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supabase-export-v2
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python -m venv tutorial-env This will create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files.
trusted_official_docs
CPython Docs
python -m venv tutorial-env This will create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files.
python -m venv tutorial-env This will create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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``python -m pip uninstall`` followed by one or more package names will remove the packages from the virtual environment. ``python -m pip show`` will display information about a particular package:
trusted_official_docs
CPython Docs
``python -m pip uninstall`` followed by one or more package names will remove the packages from the virtual environment. ``python -m pip show`` will display information about a particular package:
``python -m pip uninstall`` followed by one or more package names will remove the packages from the virtual environment. ``python -m pip show`` will display information about a particular package:
python, official-docs, cpython, P0
Local_Trusted_Corpus
561b6967-8e6c-4eb2-8555-5064700a65bd
CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas, numpy, requests Running setup.py install for novas Successfully installed novas-3.1.1.3 numpy-1.9.2 requests-2.7.0 ``pip`` has many more options. Consult the :ref:`installing-index` guide for complete documentat...
trusted_official_docs
CPython Docs
... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas, numpy, requests Running setup.py install for novas Successfully installed novas-3.1.1.3 numpy-1.9.2 requests-2.7.0 ``pip`` has many more options. Consult the :ref:`installing-index` guide for complete documentat...
... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas, numpy, requests Running setup.py install for novas Successfully installed novas-3.1.1.3 numpy-1.9.2 requests-2.7.0 ``pip`` has many more options. Consult the :ref:`installing-index` guide for complete documentat...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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documentation for ``pip``. When you've written a package and want to make it available on the Python Package Index, consult the `Python packaging user guide`_. .. _Python Packaging User Guide: https://packaging.python.org/en/latest/tutorials/packaging-projects/
trusted_official_docs
CPython Docs
documentation for ``pip``. When you've written a package and want to make it available on the Python Package Index, consult the `Python packaging user guide`_. .. _Python Packaging User Guide: https://packaging.python.org/en/latest/tutorials/packaging-projects/
documentation for ``pip``. When you've written a package and want to make it available on the Python Package Index, consult the `Python packaging user guide`_. .. _Python Packaging User Guide: https://packaging.python.org/en/latest/tutorials/packaging-projects/
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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while giving it a name that explains why the directory exists. It also prevents clashing with ``.env`` environment variable definition files that some tooling supports. Once you've created a virtual environment, you may activate it.
trusted_official_docs
CPython Docs
while giving it a name that explains why the directory exists. It also prevents clashing with ``.env`` environment variable definition files that some tooling supports. Once you've created a virtual environment, you may activate it.
while giving it a name that explains why the directory exists. It also prevents clashing with ``.env`` environment variable definition files that some tooling supports. Once you've created a virtual environment, you may activate it.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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is written for the bash shell. If you use the :program:`csh` or :program:`fish` shells, there are alternate ``activate.csh`` and ``activate.fish`` scripts you should use instead.) Activating the virtual environment will change your shell's prompt to show what virtual environment you're using, and modify the environment...
trusted_official_docs
CPython Docs
is written for the bash shell. If you use the :program:`csh` or :program:`fish` shells, there are alternate ``activate.csh`` and ``activate.fish`` scripts you should use instead.) Activating the virtual environment will change your shell's prompt to show what virtual environment you're using, and modify the environment...
is written for the bash shell. If you use the :program:`csh` or :program:`fish` shells, there are alternate ``activate.csh`` and ``activate.fish`` scripts you should use instead.) Activating the virtual environment will change your shell's prompt to show what virtual environment you're using, and modify the environment...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
unknown
53a7e13f-0005-4f51-a36f-f6111cfabb2e
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supabase-export-v2
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create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages. Different applications can then use different virtual environments. To resolve the earlier example of conflicting requirements, application ...
trusted_official_docs
CPython Docs
create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages. Different applications can then use different virtual environments. To resolve the earlier example of conflicting requirements, application ...
create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages. Different applications can then use different virtual environments. To resolve the earlier example of conflicting requirements, application ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files. A common directory location for a virtual environment is ``.venv``. This name keeps the directory typically hidden in your shell and thus out of the ...
trusted_official_docs
CPython Docs
create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files. A common directory location for a virtual environment is ``.venv``. This name keeps the directory typically hidden in your shell and thus out of the ...
create the ``tutorial-env`` directory if it doesn't exist, and also create directories inside it containing a copy of the Python interpreter and various supporting files. A common directory location for a virtual environment is ``.venv``. This name keeps the directory typically hidden in your shell and thus out of the ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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Creating Virtual Environments ============================= The module used to create and manage virtual environments is called :mod:`venv`. :mod:`venv` will install the Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12``...
trusted_official_docs
CPython Docs
Creating Virtual Environments ============================= The module used to create and manage virtual environments is called :mod:`venv`. :mod:`venv` will install the Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12``...
Creating Virtual Environments ============================= The module used to create and manage virtual environments is called :mod:`venv`. :mod:`venv` will install the Python version from which the command was run (as reported by the :option:`--version` option). For instance, executing the command with ``python3.12``...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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the application may require that a particular bug has been fixed or the application may be written using an obsolete version of the library's interface. This means it may not be possible for one Python installation to meet the requirements of every application. If application A needs version 1.0 of a particular module ...
trusted_official_docs
CPython Docs
the application may require that a particular bug has been fixed or the application may be written using an obsolete version of the library's interface. This means it may not be possible for one Python installation to meet the requirements of every application. If application A needs version 1.0 of a particular module ...
the application may require that a particular bug has been fixed or the application may be written using an obsolete version of the library's interface. This means it may not be possible for one Python installation to meet the requirements of every application. If application A needs version 1.0 of a particular module ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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(tutorial-env) $ python -m pip install novas Collecting novas Downloading novas-3.1.1.3.tar.gz (136kB) Installing collected packages: novas Running setup.py install for novas Successfully installed novas-3.1.1.3 You can also install a specific version of a package by giving the package name followed by ``==`` and the v...
trusted_official_docs
CPython Docs
(tutorial-env) $ python -m pip install novas Collecting novas Downloading novas-3.1.1.3.tar.gz (136kB) Installing collected packages: novas Running setup.py install for novas Successfully installed novas-3.1.1.3 You can also install a specific version of a package by giving the package name followed by ``==`` and the v...
(tutorial-env) $ python -m pip install novas Collecting novas Downloading novas-3.1.1.3.tar.gz (136kB) Installing collected packages: novas Running setup.py install for novas Successfully installed novas-3.1.1.3 You can also install a specific version of a package by giving the package name followed by ``==`` and the v...
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CPython Docs
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application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run. The solution for this problem is to create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version...
trusted_official_docs
CPython Docs
application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run. The solution for this problem is to create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version...
application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run. The solution for this problem is to create a :term:`virtual environment`, a self-contained directory tree that contains a Python installation for a particular version...
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser. ``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.)
trusted_official_docs
CPython Docs
``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser. ``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.)
``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser. ``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.)
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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.. code-block:: console (tutorial-env) $ python -m pip install -r requirements.txt Collecting novas==3.1.1.3 (from -r requirements.txt (line 1)) ... Collecting numpy==1.9.2 (from -r requirements.txt (line 2)) ... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas...
trusted_official_docs
CPython Docs
.. code-block:: console (tutorial-env) $ python -m pip install -r requirements.txt Collecting novas==3.1.1.3 (from -r requirements.txt (line 1)) ... Collecting numpy==1.9.2 (from -r requirements.txt (line 2)) ... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas...
.. code-block:: console (tutorial-env) $ python -m pip install -r requirements.txt Collecting novas==3.1.1.3 (from -r requirements.txt (line 1)) ... Collecting numpy==1.9.2 (from -r requirements.txt (line 2)) ... Collecting requests==2.7.0 (from -r requirements.txt (line 3)) ... Installing collected packages: novas...
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CPython Docs
file://datasets/cpython/Doc/tutorial/venv.rst
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(tutorial-env) $ python -m pip install requests==2.6.0 Collecting requests==2.6.0 Using cached requests-2.6.0-py2.py3-none-any.whl Installing collected packages: requests Successfully installed requests-2.6.0 If you re-run this command, ``pip`` will notice that the requested version is already installed and do nothing....
trusted_official_docs
CPython Docs
(tutorial-env) $ python -m pip install requests==2.6.0 Collecting requests==2.6.0 Using cached requests-2.6.0-py2.py3-none-any.whl Installing collected packages: requests Successfully installed requests-2.6.0 If you re-run this command, ``pip`` will notice that the requested version is already installed and do nothing....
(tutorial-env) $ python -m pip install requests==2.6.0 Collecting requests==2.6.0 Using cached requests-2.6.0-py2.py3-none-any.whl Installing collected packages: requests Successfully installed requests-2.6.0 If you re-run this command, ``pip`` will notice that the requested version is already installed and do nothing....
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CPython Docs
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$ source ~/envs/tutorial-env/bin/activate (tutorial-env) $ python Python 3.5.1 (default, May 6 2016, 10:59:36) ... >>> import sys >>> sys.path ['', '/usr/local/lib/python35.zip', ..., '~/envs/tutorial-env/lib/python3.5/site-packages'] >>> To deactivate a virtual environment, type::
trusted_official_docs
CPython Docs
$ source ~/envs/tutorial-env/bin/activate (tutorial-env) $ python Python 3.5.1 (default, May 6 2016, 10:59:36) ... >>> import sys >>> sys.path ['', '/usr/local/lib/python35.zip', ..., '~/envs/tutorial-env/lib/python3.5/site-packages'] >>> To deactivate a virtual environment, type::
$ source ~/envs/tutorial-env/bin/activate (tutorial-env) $ python Python 3.5.1 (default, May 6 2016, 10:59:36) ... >>> import sys >>> sys.path ['', '/usr/local/lib/python35.zip', ..., '~/envs/tutorial-env/lib/python3.5/site-packages'] >>> To deactivate a virtual environment, type::
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CPython Docs
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Introduction ============ Python applications will often use packages and modules that don't come as part of the standard library. Applications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolet...
trusted_official_docs
CPython Docs
Introduction ============ Python applications will often use packages and modules that don't come as part of the standard library. Applications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolet...
Introduction ============ Python applications will often use packages and modules that don't come as part of the standard library. Applications will sometimes need a specific version of a library, because the application may require that a particular bug has been fixed or the application may be written using an obsolet...
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--- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutorial-env/lib/python3.4/site-packages Requires: ``python -m pip list`` will displa...
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CPython Docs
--- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutorial-env/lib/python3.4/site-packages Requires: ``python -m pip list`` will displa...
--- Metadata-Version: 2.0 Name: requests Version: 2.7.0 Summary: Python HTTP for Humans. Home-page: http://python-requests.org Author: Kenneth Reitz Author-email: me@kennethreitz.com License: Apache 2.0 Location: /Users/akuchling/envs/tutorial-env/lib/python3.4/site-packages Requires: ``python -m pip list`` will displa...
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CPython Docs
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``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.) You can install the latest version of a package by specifying a package's name:
trusted_official_docs
CPython Docs
``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.) You can install the latest version of a package by specifying a package's name:
``pip`` has a number of subcommands: "install", "uninstall", "freeze", etc. (Consult the :ref:`installing-index` guide for complete documentation for ``pip``.) You can install the latest version of a package by specifying a package's name:
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Managing Packages with pip ========================== You can install, upgrade, and remove packages using a program called :program:`pip`. By default ``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser.
trusted_official_docs
CPython Docs
Managing Packages with pip ========================== You can install, upgrade, and remove packages using a program called :program:`pip`. By default ``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser.
Managing Packages with pip ========================== You can install, upgrade, and remove packages using a program called :program:`pip`. By default ``pip`` will install packages from the `Python Package Index <https://pypi.org>`_. You can browse the Python Package Index by going to it in your web browser.
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(tutorial-env) $ python -m pip freeze > requirements.txt (tutorial-env) $ cat requirements.txt novas==3.1.1.3 numpy==1.9.2 requests==2.7.0 The ``requirements.txt`` can then be committed to version control and shipped as part of an application. Users can then install all the necessary packages with ``install -r``:
trusted_official_docs
CPython Docs
(tutorial-env) $ python -m pip freeze > requirements.txt (tutorial-env) $ cat requirements.txt novas==3.1.1.3 numpy==1.9.2 requests==2.7.0 The ``requirements.txt`` can then be committed to version control and shipped as part of an application. Users can then install all the necessary packages with ``install -r``:
(tutorial-env) $ python -m pip freeze > requirements.txt (tutorial-env) $ cat requirements.txt novas==3.1.1.3 numpy==1.9.2 requests==2.7.0 The ``requirements.txt`` can then be committed to version control and shipped as part of an application. Users can then install all the necessary packages with ``install -r``:
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CPython Docs
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Surrounding the placeholder with braces allows it to be followed by more alphanumeric letters with no intervening spaces. Writing ``$$`` creates a single escaped ``$``:: >>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund...
trusted_official_docs
CPython Docs
Surrounding the placeholder with braces allows it to be followed by more alphanumeric letters with no intervening spaces. Writing ``$$`` creates a single escaped ``$``:: >>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund...
Surrounding the placeholder with braces allows it to be followed by more alphanumeric letters with no intervening spaces. Writing ``$$`` creates a single escaped ``$``:: >>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund...
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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through email, datagrams, sockets, or to an HTTP Server. New filters can select different routing based on message priority: :const:`~logging.DEBUG`, :const:`~logging.INFO`, :const:`~logging.WARNING`, :const:`~logging.ERROR`, and :const:`~logging.CRITICAL`. The logging system can be configured directly from Python or c...
trusted_official_docs
CPython Docs
through email, datagrams, sockets, or to an HTTP Server. New filters can select different routing based on message priority: :const:`~logging.DEBUG`, :const:`~logging.INFO`, :const:`~logging.WARNING`, :const:`~logging.ERROR`, and :const:`~logging.CRITICAL`. The logging system can be configured directly from Python or c...
through email, datagrams, sockets, or to an HTTP Server. New filters can select different routing based on message priority: :const:`~logging.DEBUG`, :const:`~logging.INFO`, :const:`~logging.WARNING`, :const:`~logging.ERROR`, and :const:`~logging.CRITICAL`. The logging system can be configured directly from Python or c...
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CPython Docs
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and pops from the left side but slower lookups in the middle. These objects are well suited for implementing queues and breadth first tree searches:: >>> from collections import deque >>> d = deque(["task1", "task2", "task3"]) >>> d.append("task4") >>> print("Handling", d.popleft()) Handling task1
trusted_official_docs
CPython Docs
and pops from the left side but slower lookups in the middle. These objects are well suited for implementing queues and breadth first tree searches:: >>> from collections import deque >>> d = deque(["task1", "task2", "task3"]) >>> d.append("task4") >>> print("Handling", d.popleft()) Handling task1
and pops from the left side but slower lookups in the middle. These objects are well suited for implementing queues and breadth first tree searches:: >>> from collections import deque >>> d = deque(["task1", "task2", "task3"]) >>> d.append("task4") >>> print("Handling", d.popleft()) Handling task1
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method is just like fill() except that it returns a list of strings instead of one big string with newlines to separate the wrapped lines. The :mod:`locale` module accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with gr...
trusted_official_docs
CPython Docs
method is just like fill() except that it returns a list of strings instead of one big string with newlines to separate the wrapped lines. The :mod:`locale` module accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with gr...
method is just like fill() except that it returns a list of strings instead of one big string with newlines to separate the wrapped lines. The :mod:`locale` module accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with gr...
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CPython Docs
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Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False The :mod:`decimal` module provides arithmetic with as much precision as needed::
trusted_official_docs
CPython Docs
Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False The :mod:`decimal` module provides arithmetic with as much precision as needed::
Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False The :mod:`decimal` module provides arithmetic with as much precision as needed::
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renaming utility for a photo browser may elect to use percent signs for placeholders such as the current date, image sequence number, or file format:: >>> import time, os.path >>> photofiles = ['img_1074.jpg', 'img_1076.jpg', 'img_1077.jpg'] >>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('...
trusted_official_docs
CPython Docs
renaming utility for a photo browser may elect to use percent signs for placeholders such as the current date, image sequence number, or file format:: >>> import time, os.path >>> photofiles = ['img_1074.jpg', 'img_1076.jpg', 'img_1077.jpg'] >>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('...
renaming utility for a photo browser may elect to use percent signs for placeholders such as the current date, image sequence number, or file format:: >>> import time, os.path >>> photofiles = ['img_1074.jpg', 'img_1076.jpg', 'img_1077.jpg'] >>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('...
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CPython Docs
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The :mod:`logging` module offers a full featured and flexible logging system. At its simplest, log messages are sent to a file or to ``sys.stderr``:: import logging logging.debug('Debugging information') logging.info('Informational message') logging.warning('Warning:config file %s not found', 'server.conf') logging...
trusted_official_docs
CPython Docs
The :mod:`logging` module offers a full featured and flexible logging system. At its simplest, log messages are sent to a file or to ``sys.stderr``:: import logging logging.debug('Debugging information') logging.info('Informational message') logging.warning('Warning:config file %s not found', 'server.conf') logging...
The :mod:`logging` module offers a full featured and flexible logging system. At its simplest, log messages are sent to a file or to ``sys.stderr``:: import logging logging.debug('Debugging information') logging.info('Informational message') logging.warning('Warning:config file %s not found', 'server.conf') logging...
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>>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700]) The :mod:`collections` module provides a :class:`~collections.deque` object that is like a list with faster appends and pops from the left side but slower lookups in the middle. These objects are wel...
trusted_official_docs
CPython Docs
>>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700]) The :mod:`collections` module provides a :class:`~collections.deque` object that is like a list with faster appends and pops from the left side but slower lookups in the middle. These objects are wel...
>>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700]) The :mod:`collections` module provides a :class:`~collections.deque` object that is like a list with faster appends and pops from the left side but slower lookups in the middle. These objects are wel...
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Decimal floating-point arithmetic ================================= The :mod:`decimal` module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for
trusted_official_docs
CPython Docs
Decimal floating-point arithmetic ================================= The :mod:`decimal` module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for
Decimal floating-point arithmetic ================================= The :mod:`decimal` module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for
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Tools for working with lists ============================ Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs.
trusted_official_docs
CPython Docs
Tools for working with lists ============================ Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs.
Tools for working with lists ============================ Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs.
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>>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('Enter rename style (%d-date %n-seqnum %f-format): ') Enter rename style (%d-date %n-seqnum %f-format): Ashley_%n%f >>> t = BatchRename(fmt) >>> date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.pat...
trusted_official_docs
CPython Docs
>>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('Enter rename style (%d-date %n-seqnum %f-format): ') Enter rename style (%d-date %n-seqnum %f-format): Ashley_%n%f >>> t = BatchRename(fmt) >>> date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.pat...
>>> class BatchRename(Template): ... delimiter = '%' ... >>> fmt = input('Enter rename style (%d-date %n-seqnum %f-format): ') Enter rename style (%d-date %n-seqnum %f-format): Ashley_%n%f >>> t = BatchRename(fmt) >>> date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.pat...
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unsearched = deque([starting_node]) def breadth_first_search(unsearched): node = unsearched.popleft() for m in gen_moves(node): if is_goal(m): return m unsearched.append(m) In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulati...
trusted_official_docs
CPython Docs
unsearched = deque([starting_node]) def breadth_first_search(unsearched): node = unsearched.popleft() for m in gen_moves(node): if is_goal(m): return m unsearched.append(m) In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulati...
unsearched = deque([starting_node]) def breadth_first_search(unsearched): node = unsearched.popleft() for m in gen_moves(node): if is_goal(m): return m unsearched.append(m) In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulati...
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is automatically removed from a weakref table and a callback is triggered for weakref objects. Typical applications include caching objects that are expensive to create:: >>> import weakref, gc >>> class A: ... def __init__(self, value): ... self.value = value ... def __repr__(self): ... return str(self.value) .....
trusted_official_docs
CPython Docs
is automatically removed from a weakref table and a callback is triggered for weakref objects. Typical applications include caching objects that are expensive to create:: >>> import weakref, gc >>> class A: ... def __init__(self, value): ... self.value = value ... def __repr__(self): ... return str(self.value) .....
is automatically removed from a weakref table and a callback is triggered for weakref objects. Typical applications include caching objects that are expensive to create:: >>> import weakref, gc >>> class A: ... def __init__(self, value): ... self.value = value ... def __repr__(self): ... return str(self.value) .....
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>>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund') 'Nottinghamfolk send $10 to the ditch fund.' The :meth:`~string.Template.substitute` method raises a :exc:`KeyError` when a placeholder is not supplied in a dictionary o...
trusted_official_docs
CPython Docs
>>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund') 'Nottinghamfolk send $10 to the ditch fund.' The :meth:`~string.Template.substitute` method raises a :exc:`KeyError` when a placeholder is not supplied in a dictionary o...
>>> from string import Template >>> t = Template('${village}folk send $$10 to $cause.') >>> t.substitute(village='Nottingham', cause='the ditch fund') 'Nottinghamfolk send $10 to the ditch fund.' The :meth:`~string.Template.substitute` method raises a :exc:`KeyError` when a placeholder is not supplied in a dictionary o...
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= [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, 'perl'), (200, 'tcl'), (300, 'ruby'), (400, 'lua'), (500, 'python')] The :mod:`heapq` module provides functions for implementing heaps based on regular lists. The lowest valued entry is always kept ...
trusted_official_docs
CPython Docs
= [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, 'perl'), (200, 'tcl'), (300, 'ruby'), (400, 'lua'), (500, 'python')] The :mod:`heapq` module provides functions for implementing heaps based on regular lists. The lowest valued entry is always kept ...
= [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, 'perl'), (200, 'tcl'), (300, 'ruby'), (400, 'lua'), (500, 'python')] The :mod:`heapq` module provides functions for implementing heaps based on regular lists. The lowest valued entry is always kept ...
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pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', 'yellow'], 'blue']]] The :mod:`textwrap` module formats paragraphs of text to fit a given screen width::
trusted_official_docs
CPython Docs
pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', 'yellow'], 'blue']]] The :mod:`textwrap` module formats paragraphs of text to fit a given screen width::
pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', 'yellow'], 'blue']]] The :mod:`textwrap` module formats paragraphs of text to fit a given screen width::
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********************************************** Brief tour of the standard library --- part II ********************************************** This second tour covers more advanced modules that support professional programming needs. These modules rarely occur in small scripts.
trusted_official_docs
CPython Docs
********************************************** Brief tour of the standard library --- part II ********************************************** This second tour covers more advanced modules that support professional programming needs. These modules rarely occur in small scripts.
********************************************** Brief tour of the standard library --- part II ********************************************** This second tour covers more advanced modules that support professional programming needs. These modules rarely occur in small scripts.
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The :mod:`textwrap` module formats paragraphs of text to fit a given screen width:: >>> import textwrap >>> doc = """The wrap() method is just like fill() except that it returns ... a list of strings instead of one big string with newlines to separate ... the wrapped lines.""" ... >>> print(textwrap.fill(doc, width...
trusted_official_docs
CPython Docs
The :mod:`textwrap` module formats paragraphs of text to fit a given screen width:: >>> import textwrap >>> doc = """The wrap() method is just like fill() except that it returns ... a list of strings instead of one big string with newlines to separate ... the wrapped lines.""" ... >>> print(textwrap.fill(doc, width...
The :mod:`textwrap` module formats paragraphs of text to fit a given screen width:: >>> import textwrap >>> doc = """The wrap() method is just like fill() except that it returns ... a list of strings instead of one big string with newlines to separate ... the wrapped lines.""" ... >>> print(textwrap.fill(doc, width...
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Weak references =============== Python does automatic memory management (reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated.
trusted_official_docs
CPython Docs
Weak references =============== Python does automatic memory management (reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated.
Weak references =============== Python does automatic memory management (reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated.
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In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulating sorted lists:: >>> import bisect >>> scores = [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, ...
trusted_official_docs
CPython Docs
In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulating sorted lists:: >>> import bisect >>> scores = [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, ...
In addition to alternative list implementations, the library also offers other tools such as the :mod:`bisect` module with functions for manipulating sorted lists:: >>> import bisect >>> scores = [(100, 'perl'), (200, 'tcl'), (400, 'lua'), (500, 'python')] >>> bisect.insort(scores, (300, 'ruby')) >>> scores [(100, ...
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module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for * financial applications and other uses which require exact decimal representation, * control over precision, * ...
trusted_official_docs
CPython Docs
module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for * financial applications and other uses which require exact decimal representation, * control over precision, * ...
module offers a :class:`~decimal.Decimal` datatype for decimal floating-point arithmetic. Compared to the built-in :class:`float` implementation of binary floating point, the class is especially helpful for * financial applications and other uses which require exact decimal representation, * control over precision, * ...
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CPython Docs
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for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields start += 16 filename = data[start:start+filenamesize] start += filenamesize extra = data[start:start+extra_size] print(filename, hex(...
trusted_official_docs
CPython Docs
for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields start += 16 filename = data[start:start+filenamesize] start += filenamesize extra = data[start:start+extra_size] print(filename, hex(...
for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields start += 16 filename = data[start:start+filenamesize] start += filenamesize extra = data[start:start+extra_size] print(filename, hex(...
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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two place significance. Decimal reproduces mathematics as done by hand and avoids issues that can arise when binary floating point cannot exactly represent decimal quantities. Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binar...
trusted_official_docs
CPython Docs
two place significance. Decimal reproduces mathematics as done by hand and avoids issues that can arise when binary floating point cannot exactly represent decimal quantities. Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binar...
two place significance. Decimal reproduces mathematics as done by hand and avoids issues that can arise when binary floating point cannot exactly represent decimal quantities. Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binar...
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CPython Docs
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Working with binary data record layouts ======================================= The :mod:`struct` module provides :func:`~struct.pack` and :func:`~struct.unpack` functions for working with variable length binary record formats. The following example shows how to loop through header information in a ZIP file without usi...
trusted_official_docs
CPython Docs
Working with binary data record layouts ======================================= The :mod:`struct` module provides :func:`~struct.pack` and :func:`~struct.unpack` functions for working with variable length binary record formats. The following example shows how to loop through header information in a ZIP file without usi...
Working with binary data record layouts ======================================= The :mod:`struct` module provides :func:`~struct.pack` and :func:`~struct.unpack` functions for working with variable length binary record formats. The following example shows how to loop through header information in a ZIP file without usi...
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CPython Docs
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Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs. The :mod:`array` module provides an :class:`~array.array` object that is like a list that stores only homogeneous data and stores it more compactly....
trusted_official_docs
CPython Docs
Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs. The :mod:`array` module provides an :class:`~array.array` object that is like a list that stores only homogeneous data and stores it more compactly....
Many data structure needs can be met with the built-in list type. However, sometimes there is a need for alternative implementations with different performance trade-offs. The :mod:`array` module provides an :class:`~array.array` object that is like a list that stores only homogeneous data and stores it more compactly....
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CPython Docs
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img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg Another application for templating is separating program logic from the details of multiple output formats. This makes it possible to substitute custom templates for XML files, plain text reports, and HTML web reports.
trusted_official_docs
CPython Docs
img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg Another application for templating is separating program logic from the details of multiple output formats. This makes it possible to substitute custom templates for XML files, plain text reports, and HTML web reports.
img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg Another application for templating is separating program logic from the details of multiple output formats. This makes it possible to substitute custom templates for XML files, plain text reports, and HTML web reports.
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CPython Docs
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to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most recent call last): ... KeyError: 'owner' >>> t.safe_substitute(d) 'Return the unladen swallow to $owner.' Template subclasses can specify a custom delimiter. For example, a batch renaming utility for a photo browser may elect to use p...
trusted_official_docs
CPython Docs
to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most recent call last): ... KeyError: 'owner' >>> t.safe_substitute(d) 'Return the unladen swallow to $owner.' Template subclasses can specify a custom delimiter. For example, a batch renaming utility for a photo browser may elect to use p...
to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most recent call last): ... KeyError: 'owner' >>> t.safe_substitute(d) 'Return the unladen swallow to $owner.' Template subclasses can specify a custom delimiter. For example, a batch renaming utility for a photo browser may elect to use p...
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CPython Docs
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versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application. The format uses placeholder names formed by ``$`` with valid Python identifiers (alphanumeric characters and underscores). Surr...
trusted_official_docs
CPython Docs
versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application. The format uses placeholder names formed by ``$`` with valid Python identifiers (alphanumeric characters and underscores). Surr...
versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application. The format uses placeholder names formed by ``$`` with valid Python identifiers (alphanumeric characters and underscores). Surr...
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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supabase-export-v2
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legal or regulatory requirements, * tracking of significant decimal places, or * applications where the user expects the results to match calculations done by hand. For example, calculating a 5% tax on a 70 cent phone charge gives different results in decimal floating point and binary floating point. The difference bec...
trusted_official_docs
CPython Docs
legal or regulatory requirements, * tracking of significant decimal places, or * applications where the user expects the results to match calculations done by hand. For example, calculating a 5% tax on a 70 cent phone charge gives different results in decimal floating point and binary floating point. The difference bec...
legal or regulatory requirements, * tracking of significant decimal places, or * applications where the user expects the results to match calculations done by hand. For example, calculating a 5% tax on a 70 cent phone charge gives different results in decimal floating point and binary floating point. The difference bec...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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supabase-export-v2
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background.join() # Wait for the background task to finish print('Main program waited until background was done.') The principal challenge of multi-threaded applications is coordinating threads that share data or other resources. To that end, the threading module provides a number of synchronization primitives includin...
trusted_official_docs
CPython Docs
background.join() # Wait for the background task to finish print('Main program waited until background was done.') The principal challenge of multi-threaded applications is coordinating threads that share data or other resources. To that end, the threading module provides a number of synchronization primitives includin...
background.join() # Wait for the background task to finish print('Main program waited until background was done.') The principal challenge of multi-threaded applications is coordinating threads that share data or other resources. To that end, the threading module provides a number of synchronization primitives includin...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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supabase-export-v2
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date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.path.splitext(filename) ... newname = t.substitute(d=date, n=i, f=ext) ... print('{0} --> {1}'.format(filename, newname)) img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg
trusted_official_docs
CPython Docs
date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.path.splitext(filename) ... newname = t.substitute(d=date, n=i, f=ext) ... print('{0} --> {1}'.format(filename, newname)) img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg
date = time.strftime('%d%b%y') >>> for i, filename in enumerate(photofiles): ... base, ext = os.path.splitext(filename) ... newname = t.substitute(d=date, n=i, f=ext) ... print('{0} --> {1}'.format(filename, newname)) img_1074.jpg --> Ashley_0.jpg img_1076.jpg --> Ashley_1.jpg img_1077.jpg --> Ashley_2.jpg
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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supabase-export-v2
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Templating ========== The :mod:`string` module includes a versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application.
trusted_official_docs
CPython Docs
Templating ========== The :mod:`string` module includes a versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application.
Templating ========== The :mod:`string` module includes a versatile :class:`~string.Template` class with a simplified syntax suitable for editing by end-users. This allows users to customize their applications without having to alter the application.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binary floating point:: >>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995
trusted_official_docs
CPython Docs
Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binary floating point:: >>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995
Exact representation enables the :class:`~decimal.Decimal` class to perform modulo calculations and equality tests that are unsuitable for binary floating point:: >>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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that share data or other resources. To that end, the threading module provides a number of synchronization primitives including locks, events, condition variables, and semaphores. While those tools are powerful, minor design errors can result in problems that are difficult to reproduce. So, the preferred approach to ta...
trusted_official_docs
CPython Docs
that share data or other resources. To that end, the threading module provides a number of synchronization primitives including locks, events, condition variables, and semaphores. While those tools are powerful, minor design errors can result in problems that are difficult to reproduce. So, the preferred approach to ta...
that share data or other resources. To that end, the threading module provides a number of synchronization primitives including locks, events, condition variables, and semaphores. While those tools are powerful, minor design errors can result in problems that are difficult to reproduce. So, the preferred approach to ta...
python, official-docs, cpython, P0
Local_Trusted_Corpus
a78f8b09-ce5b-4e84-8944-c75d05b832f1
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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WARNING:root:Warning:config file server.conf not found ERROR:root:Error occurred CRITICAL:root:Critical error -- shutting down By default, informational and debugging messages are suppressed and the output is sent to standard error. Other output options include routing messages through email, datagrams, sockets, or to ...
trusted_official_docs
CPython Docs
WARNING:root:Warning:config file server.conf not found ERROR:root:Error occurred CRITICAL:root:Critical error -- shutting down By default, informational and debugging messages are suppressed and the output is sent to standard error. Other output options include routing messages through email, datagrams, sockets, or to ...
WARNING:root:Warning:config file server.conf not found ERROR:root:Error occurred CRITICAL:root:Critical error -- shutting down By default, informational and debugging messages are suppressed and the output is sent to standard error. Other output options include routing messages through email, datagrams, sockets, or to ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
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supabase-export-v2
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accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with group separators:: >>> import locale >>> locale.setlocale(locale.LC_ALL, 'English_United States.1252') 'English_United States.1252' >>> conv = locale.localeconv() ...
trusted_official_docs
CPython Docs
accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with group separators:: >>> import locale >>> locale.setlocale(locale.LC_ALL, 'English_United States.1252') 'English_United States.1252' >>> conv = locale.localeconv() ...
accesses a database of culture specific data formats. The grouping attribute of locale's format function provides a direct way of formatting numbers with group separators:: >>> import locale >>> locale.setlocale(locale.LC_ALL, 'English_United States.1252') 'English_United States.1252' >>> conv = locale.localeconv() ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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The :mod:`reprlib` module provides a version of :func:`repr` customized for abbreviated displays of large or deeply nested containers:: >>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}"
trusted_official_docs
CPython Docs
The :mod:`reprlib` module provides a version of :func:`repr` customized for abbreviated displays of large or deeply nested containers:: >>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}"
The :mod:`reprlib` module provides a version of :func:`repr` customized for abbreviated displays of large or deeply nested containers:: >>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}"
python, official-docs, cpython, P0
Local_Trusted_Corpus
c20a6a9d-dae4-40a8-bbc1-6cb0e46b3a3d
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,697
supabase-export-v2
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>>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73 The :class:`~decimal.Decimal` result keeps a trailing zero, automatically inferring four place significance from multiplicands with two place significance. Decimal reproduces mathematics as done by ha...
trusted_official_docs
CPython Docs
>>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73 The :class:`~decimal.Decimal` result keeps a trailing zero, automatically inferring four place significance from multiplicands with two place significance. Decimal reproduces mathematics as done by ha...
>>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73 The :class:`~decimal.Decimal` result keeps a trailing zero, automatically inferring four place significance from multiplicands with two place significance. Decimal reproduces mathematics as done by ha...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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with open('myfile.zip', 'rb') as f: data = f.read() start = 0 for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields
trusted_official_docs
CPython Docs
with open('myfile.zip', 'rb') as f: data = f.read() start = 0 for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields
with open('myfile.zip', 'rb') as f: data = f.read() start = 0 for i in range(3): # show the first 3 file headers start += 14 fields = struct.unpack('<IIIHH', data[start:start+16]) crc32, comp_size, uncomp_size, filenamesize, extra_size = fields
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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>>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995 >>> sum([Decimal('0.1')]*10) == Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False
trusted_official_docs
CPython Docs
>>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995 >>> sum([Decimal('0.1')]*10) == Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False
>>> Decimal('1.00') % Decimal('.10') Decimal('0.00') >>> 1.00 % 0.10 0.09999999999999995 >>> sum([Decimal('0.1')]*10) == Decimal('1.0') True >>> 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 == 1.0 False
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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Multi-threading =============== Threading is a technique for decoupling tasks which are not sequentially dependent. Threads can be used to improve the responsiveness of applications that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another...
trusted_official_docs
CPython Docs
Multi-threading =============== Threading is a technique for decoupling tasks which are not sequentially dependent. Threads can be used to improve the responsiveness of applications that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another...
Multi-threading =============== Threading is a technique for decoupling tasks which are not sequentially dependent. Threads can be used to improve the responsiveness of applications that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another...
python, official-docs, cpython, P0
Local_Trusted_Corpus
d9710ee9-3d55-4f4f-bba0-0468b8f81310
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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(reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated. This approach works fine for most applications but occasionally there is a need to track objects only as long as they are being used by something else...
trusted_official_docs
CPython Docs
(reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated. This approach works fine for most applications but occasionally there is a need to track objects only as long as they are being used by something else...
(reference counting for most objects and :term:`garbage collection` to eliminate cycles). The memory is freed shortly after the last reference to it has been eliminated. This approach works fine for most applications but occasionally there is a need to track objects only as long as they are being used by something else...
python, official-docs, cpython, P0
Local_Trusted_Corpus
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CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,690
supabase-export-v2
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kept at position zero. This is useful for applications which repeatedly access the smallest element but do not want to run a full list sort:: >>> from heapq import heapify, heappop, heappush >>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] >>> heapify(data) # rearrange the list into heap order >>> heappush(data, -5) # add ...
trusted_official_docs
CPython Docs
kept at position zero. This is useful for applications which repeatedly access the smallest element but do not want to run a full list sort:: >>> from heapq import heapify, heappop, heappush >>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] >>> heapify(data) # rearrange the list into heap order >>> heappush(data, -5) # add ...
kept at position zero. This is useful for applications which repeatedly access the smallest element but do not want to run a full list sort:: >>> from heapq import heapify, heappop, heappush >>> data = [1, 3, 5, 7, 9, 2, 4, 6, 8, 0] >>> heapify(data) # rearrange the list into heap order >>> heappush(data, -5) # add ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e3cd07bd-bf54-44de-8731-316692791155
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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by the interpreter. When the result is longer than one line, the "pretty printer" adds line breaks and indentation to more clearly reveal data structure:: >>> import pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black',...
trusted_official_docs
CPython Docs
by the interpreter. When the result is longer than one line, the "pretty printer" adds line breaks and indentation to more clearly reveal data structure:: >>> import pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black',...
by the interpreter. When the result is longer than one line, the "pretty printer" adds line breaks and indentation to more clearly reveal data structure:: >>> import pprint >>> t = [[[['black', 'cyan'], 'white', ['green', 'red']], [['magenta', ... 'yellow'], 'blue']]] ... >>> pprint.pprint(t, width=30) [[[['black',...
python, official-docs, cpython, P0
Local_Trusted_Corpus
e882e8aa-a5d6-41d7-97f0-7b4d9f6b4da3
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,629
supabase-export-v2
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>>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}" The :mod:`pprint` module offers more sophisticated control over printing both built-in and user defined objects in a way that is readable by the interpreter. When the result is longer than one line, the ...
trusted_official_docs
CPython Docs
>>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}" The :mod:`pprint` module offers more sophisticated control over printing both built-in and user defined objects in a way that is readable by the interpreter. When the result is longer than one line, the ...
>>> import reprlib >>> reprlib.repr(set('supercalifragilisticexpialidocious')) "{'a', 'c', 'd', 'e', 'f', 'g', ...}" The :mod:`pprint` module offers more sophisticated control over printing both built-in and user defined objects in a way that is readable by the interpreter. When the result is longer than one line, the ...
python, official-docs, cpython, P0
Local_Trusted_Corpus
ec3aaa7f-66b8-4bd2-9694-6c32f9e3704e
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,657
supabase-export-v2
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that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another thread. The following code shows how the high level :mod:`threading` module can run tasks in background while the main program continues to run::
trusted_official_docs
CPython Docs
that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another thread. The following code shows how the high level :mod:`threading` module can run tasks in background while the main program continues to run::
that accept user input while other tasks run in the background. A related use case is running I/O in parallel with computations in another thread. The following code shows how the high level :mod:`threading` module can run tasks in background while the main program continues to run::
python, official-docs, cpython, P0
Local_Trusted_Corpus
ef38ede1-1277-4727-b530-b15473debb0e
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,682
supabase-export-v2
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numbers stored as two byte unsigned binary numbers (typecode ``"H"``) rather than the usual 16 bytes per entry for regular lists of Python int objects:: >>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700])
trusted_official_docs
CPython Docs
numbers stored as two byte unsigned binary numbers (typecode ``"H"``) rather than the usual 16 bytes per entry for regular lists of Python int objects:: >>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700])
numbers stored as two byte unsigned binary numbers (typecode ``"H"``) rather than the usual 16 bytes per entry for regular lists of Python int objects:: >>> from array import array >>> a = array('H', [4000, 10, 700, 22222]) >>> sum(a) 26932 >>> a[1:3] array('H', [10, 700])
python, official-docs, cpython, P0
Local_Trusted_Corpus
f4949e19-1574-4f47-8b37-b7194a7b9666
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
53,640
supabase-export-v2
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applications, user supplied data may be incomplete and the :meth:`~string.Template.safe_substitute` method may be more appropriate --- it will leave placeholders unchanged if data is missing:: >>> t = Template('Return the $item to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most rec...
trusted_official_docs
CPython Docs
applications, user supplied data may be incomplete and the :meth:`~string.Template.safe_substitute` method may be more appropriate --- it will leave placeholders unchanged if data is missing:: >>> t = Template('Return the $item to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most rec...
applications, user supplied data may be incomplete and the :meth:`~string.Template.safe_substitute` method may be more appropriate --- it will leave placeholders unchanged if data is missing:: >>> t = Template('Return the $item to $owner.') >>> d = dict(item='unladen swallow') >>> t.substitute(d) Traceback (most rec...
python, official-docs, cpython, P0
Local_Trusted_Corpus
f7c2e343-fdcd-463b-b279-f1cd499badb3
CPython Docs
file://datasets/cpython/Doc/tutorial/stdlib2.rst
unknown
87a45ec8-1e2d-4cc4-9521-f6a105f633cb
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supabase-export-v2
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charge gives different results in decimal floating point and binary floating point. The difference becomes significant if the results are rounded to the nearest cent:: >>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73
trusted_official_docs
CPython Docs
charge gives different results in decimal floating point and binary floating point. The difference becomes significant if the results are rounded to the nearest cent:: >>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73
charge gives different results in decimal floating point and binary floating point. The difference becomes significant if the results are rounded to the nearest cent:: >>> from decimal import * >>> round(Decimal('0.70') * Decimal('1.05'), 2) Decimal('0.74') >>> round(.70 * 1.05, 2) 0.73
python, official-docs, cpython, P0
Local_Trusted_Corpus
04def8c7-b60e-4062-8b4a-4b1b77b841a4
CPython Docs
file://datasets/cpython/Doc/tutorial/modules.rst
unknown
b861e0bf-b87a-48ad-9627-b6822a304bc5
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supabase-export-v2
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or package is frowned upon, since it often causes poorly readable code. However, it is okay to use it to save typing in interactive sessions. If the module name is followed by :keyword:`!as`, then the name following :keyword:`!as` is bound directly to the imported module.
trusted_official_docs
CPython Docs
or package is frowned upon, since it often causes poorly readable code. However, it is okay to use it to save typing in interactive sessions. If the module name is followed by :keyword:`!as`, then the name following :keyword:`!as` is bound directly to the imported module.
or package is frowned upon, since it often causes poorly readable code. However, it is okay to use it to save typing in interactive sessions. If the module name is followed by :keyword:`!as`, then the name following :keyword:`!as` is bound directly to the imported module.
python, official-docs, cpython, P0
Local_Trusted_Corpus
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.. index:: triple: module; search; path When a module named :mod:`!spam` is imported, the interpreter first searches for a built-in module with that name. These module names are listed in :data:`sys.builtin_module_names`. If not found, it then searches for a file named :file:`spam.py` in a list of directories given by ...
trusted_official_docs
CPython Docs
.. index:: triple: module; search; path When a module named :mod:`!spam` is imported, the interpreter first searches for a built-in module with that name. These module names are listed in :data:`sys.builtin_module_names`. If not found, it then searches for a file named :file:`spam.py` in a list of directories given by ...
.. index:: triple: module; search; path When a module named :mod:`!spam` is imported, the interpreter first searches for a built-in module with that name. These module names are listed in :data:`sys.builtin_module_names`. If not found, it then searches for a file named :file:`spam.py` in a list of directories given by ...
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>>> import fibo >>> This is often used either to provide a convenient user interface to a module, or for testing purposes (running the module as a script executes a test suite).
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CPython Docs
>>> import fibo >>> This is often used either to provide a convenient user interface to a module, or for testing purposes (running the module as a script executes a test suite).
>>> import fibo >>> This is often used either to provide a convenient user interface to a module, or for testing purposes (running the module as a script executes a test suite).
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.. index:: pair: module; sys Python comes with a library of standard modules, described in a separate document, the Python Library Reference ("Library Reference" hereafter). Some modules are built into the interpreter; these provide access to operations that are not part of the core of the language but are nevertheless...
trusted_official_docs
CPython Docs
.. index:: pair: module; sys Python comes with a library of standard modules, described in a separate document, the Python Library Reference ("Library Reference" hereafter). Some modules are built into the interpreter; these provide access to operations that are not part of the core of the language but are nevertheless...
.. index:: pair: module; sys Python comes with a library of standard modules, described in a separate document, the Python Library Reference ("Library Reference" hereafter). Some modules are built into the interpreter; these provide access to operations that are not part of the core of the language but are nevertheless...
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If you intend to use a function often you can assign it to a local name:: >>> fib = fibo.fib >>> fib(500) 0 1 1 2 3 5 8 13 21 34 55 89 144 233 377
trusted_official_docs
CPython Docs
If you intend to use a function often you can assign it to a local name:: >>> fib = fibo.fib >>> fib(500) 0 1 1 2 3 5 8 13 21 34 55 89 144 233 377
If you intend to use a function often you can assign it to a local name:: >>> fib = fibo.fib >>> fib(500) 0 1 1 2 3 5 8 13 21 34 55 89 144 233 377
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names, with the same syntax as the shell variable :envvar:`PATH`). * The installation-dependent default (by convention including a ``site-packages`` directory, handled by the :mod:`site` module). More details are at :ref:`sys-path-init`.
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CPython Docs
names, with the same syntax as the shell variable :envvar:`PATH`). * The installation-dependent default (by convention including a ``site-packages`` directory, handled by the :mod:`site` module). More details are at :ref:`sys-path-init`.
names, with the same syntax as the shell variable :envvar:`PATH`). * The installation-dependent default (by convention including a ``site-packages`` directory, handled by the :mod:`site` module). More details are at :ref:`sys-path-init`.
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* The module :mod:`compileall` can create .pyc files for all modules in a directory. * There is more detail on this process, including a flow chart of the decisions, in :pep:`3147`.
trusted_official_docs
CPython Docs
* The module :mod:`compileall` can create .pyc files for all modules in a directory. * There is more detail on this process, including a flow chart of the decisions, in :pep:`3147`.
* The module :mod:`compileall` can create .pyc files for all modules in a directory. * There is more detail on this process, including a flow chart of the decisions, in :pep:`3147`.
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The built-in function :func:`dir` is used to find out which names a module defines. It returns a sorted list of strings:: >>> import fibo, sys >>> dir(fibo) ['__name__', 'fib', 'fib2'] >>> dir(sys) # doctest: +NORMALIZE_WHITESPACE ['__breakpointhook__', '__displayhook__', '__doc__', '__excepthook__', '__interactiv...
trusted_official_docs
CPython Docs
The built-in function :func:`dir` is used to find out which names a module defines. It returns a sorted list of strings:: >>> import fibo, sys >>> dir(fibo) ['__name__', 'fib', 'fib2'] >>> dir(sys) # doctest: +NORMALIZE_WHITESPACE ['__breakpointhook__', '__displayhook__', '__doc__', '__excepthook__', '__interactiv...
The built-in function :func:`dir` is used to find out which names a module defines. It returns a sorted list of strings:: >>> import fibo, sys >>> dir(fibo) ['__name__', 'fib', 'fib2'] >>> dir(sys) # doctest: +NORMALIZE_WHITESPACE ['__breakpointhook__', '__displayhook__', '__doc__', '__excepthook__', '__interactiv...
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to support it, if they don't see a use for importing \* from their package. For example, the file :file:`sound/effects/__init__.py` could contain the following code:: __all__ = ["echo", "surround", "reverse"]
trusted_official_docs
CPython Docs
to support it, if they don't see a use for importing \* from their package. For example, the file :file:`sound/effects/__init__.py` could contain the following code:: __all__ = ["echo", "surround", "reverse"]
to support it, if they don't see a use for importing \* from their package. For example, the file :file:`sound/effects/__init__.py` could contain the following code:: __all__ = ["echo", "surround", "reverse"]
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found, it then searches for a file named :file:`spam.py` in a list of directories given by the variable :data:`sys.path`. :data:`sys.path` is initialized from these locations: * The directory containing the input script (or the current directory when no file is specified). * :envvar:`PYTHONPATH` (a list of directory n...
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found, it then searches for a file named :file:`spam.py` in a list of directories given by the variable :data:`sys.path`. :data:`sys.path` is initialized from these locations: * The directory containing the input script (or the current directory when no file is specified). * :envvar:`PYTHONPATH` (a list of directory n...
found, it then searches for a file named :file:`spam.py` in a list of directories given by the variable :data:`sys.path`. :data:`sys.path` is initialized from these locations: * The directory containing the input script (or the current directory when no file is specified). * :envvar:`PYTHONPATH` (a list of directory n...
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More on Modules =============== A module can contain executable statements as well as function definitions. These statements are intended to initialize the module. They are executed only the *first* time the module name is encountered in an import statement. [#]_ (They are also run if the file is executed as a script.)
trusted_official_docs
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More on Modules =============== A module can contain executable statements as well as function definitions. These statements are intended to initialize the module. They are executed only the *first* time the module name is encountered in an import statement. [#]_ (They are also run if the file is executed as a script.)
More on Modules =============== A module can contain executable statements as well as function definitions. These statements are intended to initialize the module. They are executed only the *first* time the module name is encountered in an import statement. [#]_ (They are also run if the file is executed as a script.)
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Without arguments, :func:`dir` lists the names you have defined currently:: >>> a = [1, 2, 3, 4, 5] >>> import fibo >>> fib = fibo.fib >>> dir() ['__builtins__', '__name__', 'a', 'fib', 'fibo', 'sys']
trusted_official_docs
CPython Docs
Without arguments, :func:`dir` lists the names you have defined currently:: >>> a = [1, 2, 3, 4, 5] >>> import fibo >>> fib = fibo.fib >>> dir() ['__builtins__', '__name__', 'a', 'fib', 'fibo', 'sys']
Without arguments, :func:`dir` lists the names you have defined currently:: >>> a = [1, 2, 3, 4, 5] >>> import fibo >>> fib = fibo.fib >>> dir() ['__builtins__', '__name__', 'a', 'fib', 'fibo', 'sys']
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python fibo.py <arguments> the code in the module will be executed, just as if you imported it, but with the ``__name__`` set to ``"__main__"``. That means that by adding this code at the end of your module::
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python fibo.py <arguments> the code in the module will be executed, just as if you imported it, but with the ``__name__`` set to ``"__main__"``. That means that by adding this code at the end of your module::
python fibo.py <arguments> the code in the module will be executed, just as if you imported it, but with the ``__name__`` set to ``"__main__"``. That means that by adding this code at the end of your module::
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package; if not, it assumes it is a module and attempts to load it. If it fails to find it, an :exc:`ImportError` exception is raised. Contrarily, when using syntax like ``import item.subitem.subsubitem``, each item except for the last must be a package; the last item can be a module or a package but can't be a class o...
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package; if not, it assumes it is a module and attempts to load it. If it fails to find it, an :exc:`ImportError` exception is raised. Contrarily, when using syntax like ``import item.subitem.subsubitem``, each item except for the last must be a package; the last item can be a module or a package but can't be a class o...
package; if not, it assumes it is a module and attempts to load it. If it fails to find it, an :exc:`ImportError` exception is raised. Contrarily, when using syntax like ``import item.subitem.subsubitem``, each item except for the last must be a package; the last item can be a module or a package but can't be a class o...
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