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RPM: python3-module-greenlet
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Current version: 2.0.2-alt1
Build date: 7 august 2023, 10:59 ( 37.3 weeks ago )
Size: 136.22 Kb
Home page: http://pypi.python.org/pypi/greenlet
License: MIT
Summary: Lightweight in-process concurrent programming
Description:
List of contributors
List of rpms provided by this srpm:
ACL:
Build date: 7 august 2023, 10:59 ( 37.3 weeks ago )
Size: 136.22 Kb
Home page: http://pypi.python.org/pypi/greenlet
License: MIT
Summary: Lightweight in-process concurrent programming
Description:
The greenlet package is a spin-off of Stackless, a version of CPython
that supports micro-threads called "tasklets". Tasklets run
pseudo-concurrently (typically in a single or a few OS-level threads)
and are synchronized with data exchanges on "channels".
A "greenlet", on the other hand, is a still more primitive notion of
micro- thread with no implicit scheduling; coroutines, in other words.
This is useful when you want to control exactly when your code runs. You
can build custom scheduled micro-threads on top of greenlet; however, it
seems that greenlets are useful on their own as a way to make advanced
control flow structures. For example, we can recreate generators; the
difference with Python's own generators is that our generators can call
nested functions and the nested functions can yield values too.
Additionally, you don't need a "yield" keyword. See the example in
tests/test_generator.py.
Greenlets are provided as a C extension module for the regular
unmodified interpreter.
Current maintainer: Alexey Sheplyakov that supports micro-threads called "tasklets". Tasklets run
pseudo-concurrently (typically in a single or a few OS-level threads)
and are synchronized with data exchanges on "channels".
A "greenlet", on the other hand, is a still more primitive notion of
micro- thread with no implicit scheduling; coroutines, in other words.
This is useful when you want to control exactly when your code runs. You
can build custom scheduled micro-threads on top of greenlet; however, it
seems that greenlets are useful on their own as a way to make advanced
control flow structures. For example, we can recreate generators; the
difference with Python's own generators is that our generators can call
nested functions and the nested functions can yield values too.
Additionally, you don't need a "yield" keyword. See the example in
tests/test_generator.py.
Greenlets are provided as a C extension module for the regular
unmodified interpreter.
List of contributors
- python3-module-greenlet-debuginfo
- python3-module-greenlet
- python3-module-greenlet-tests
- python3-module-greenlet-devel