head 1.1; access; symbols pkgsrc-2026Q1:1.1.0.98 pkgsrc-2026Q1-base:1.1 pkgsrc-2025Q4:1.1.0.96 pkgsrc-2025Q4-base:1.1 pkgsrc-2025Q3:1.1.0.94 pkgsrc-2025Q3-base:1.1 pkgsrc-2025Q2:1.1.0.92 pkgsrc-2025Q2-base:1.1 pkgsrc-2025Q1:1.1.0.90 pkgsrc-2025Q1-base:1.1 pkgsrc-2024Q4:1.1.0.88 pkgsrc-2024Q4-base:1.1 pkgsrc-2024Q3:1.1.0.86 pkgsrc-2024Q3-base:1.1 pkgsrc-2024Q2:1.1.0.84 pkgsrc-2024Q2-base:1.1 pkgsrc-2024Q1:1.1.0.82 pkgsrc-2024Q1-base:1.1 pkgsrc-2023Q4:1.1.0.80 pkgsrc-2023Q4-base:1.1 pkgsrc-2023Q3:1.1.0.78 pkgsrc-2023Q3-base:1.1 pkgsrc-2023Q2:1.1.0.76 pkgsrc-2023Q2-base:1.1 pkgsrc-2023Q1:1.1.0.74 pkgsrc-2023Q1-base:1.1 pkgsrc-2022Q4:1.1.0.72 pkgsrc-2022Q4-base:1.1 pkgsrc-2022Q3:1.1.0.70 pkgsrc-2022Q3-base:1.1 pkgsrc-2022Q2:1.1.0.68 pkgsrc-2022Q2-base:1.1 pkgsrc-2022Q1:1.1.0.66 pkgsrc-2022Q1-base:1.1 pkgsrc-2021Q4:1.1.0.64 pkgsrc-2021Q4-base:1.1 pkgsrc-2021Q3:1.1.0.62 pkgsrc-2021Q3-base:1.1 pkgsrc-2021Q2:1.1.0.60 pkgsrc-2021Q2-base:1.1 pkgsrc-2021Q1:1.1.0.58 pkgsrc-2021Q1-base:1.1 pkgsrc-2020Q4:1.1.0.56 pkgsrc-2020Q4-base:1.1 pkgsrc-2020Q3:1.1.0.54 pkgsrc-2020Q3-base:1.1 pkgsrc-2020Q2:1.1.0.50 pkgsrc-2020Q2-base:1.1 pkgsrc-2020Q1:1.1.0.30 pkgsrc-2020Q1-base:1.1 pkgsrc-2019Q4:1.1.0.52 pkgsrc-2019Q4-base:1.1 pkgsrc-2019Q3:1.1.0.48 pkgsrc-2019Q3-base:1.1 pkgsrc-2019Q2:1.1.0.46 pkgsrc-2019Q2-base:1.1 pkgsrc-2019Q1:1.1.0.44 pkgsrc-2019Q1-base:1.1 pkgsrc-2018Q4:1.1.0.42 pkgsrc-2018Q4-base:1.1 pkgsrc-2018Q3:1.1.0.40 pkgsrc-2018Q3-base:1.1 pkgsrc-2018Q2:1.1.0.38 pkgsrc-2018Q2-base:1.1 pkgsrc-2018Q1:1.1.0.36 pkgsrc-2018Q1-base:1.1 pkgsrc-2017Q4:1.1.0.34 pkgsrc-2017Q4-base:1.1 pkgsrc-2017Q3:1.1.0.32 pkgsrc-2017Q3-base:1.1 pkgsrc-2017Q2:1.1.0.28 pkgsrc-2017Q2-base:1.1 pkgsrc-2017Q1:1.1.0.26 pkgsrc-2017Q1-base:1.1 pkgsrc-2016Q4:1.1.0.24 pkgsrc-2016Q4-base:1.1 pkgsrc-2016Q3:1.1.0.22 pkgsrc-2016Q3-base:1.1 pkgsrc-2016Q2:1.1.0.20 pkgsrc-2016Q2-base:1.1 pkgsrc-2016Q1:1.1.0.18 pkgsrc-2016Q1-base:1.1 pkgsrc-2015Q4:1.1.0.16 pkgsrc-2015Q4-base:1.1 pkgsrc-2015Q3:1.1.0.14 pkgsrc-2015Q3-base:1.1 pkgsrc-2015Q2:1.1.0.12 pkgsrc-2015Q2-base:1.1 pkgsrc-2015Q1:1.1.0.10 pkgsrc-2015Q1-base:1.1 pkgsrc-2014Q4:1.1.0.8 pkgsrc-2014Q4-base:1.1 pkgsrc-2014Q3:1.1.0.6 pkgsrc-2014Q3-base:1.1 pkgsrc-2014Q2:1.1.0.4 pkgsrc-2014Q2-base:1.1 pkgsrc-2014Q1:1.1.0.2 pkgsrc-2014Q1-base:1.1; locks; strict; comment @# @; 1.1 date 2013.12.31.17.59.08; author rodent; state Exp; branches; next ; commitid HZXlkcE1Rn9jqjjx; desc @@ 1.1 log @Import py27-greenlet-0.4.1 as devel/py-greenlet. Packaged in pkgsrc-wip by kamel.derouiche@@gmail.com 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. Greenlets are lightweight coroutines for in-process concurrent programming. @ text @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. Greenlets are lightweight coroutines for in-process concurrent programming. @