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cpu-count-1.0.0b3


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توضیحات

Calculate the number of CPUs available taking into account system constraints
ویژگی مقدار
سیستم عامل -
نام فایل cpu-count-1.0.0b3
نام cpu-count
نسخه کتابخانه 1.0.0b3
نگهدارنده ['Vítor Vasconcellos']
ایمیل نگهدارنده ['vasconcellos.dev@gmail.com']
نویسنده Vítor Vasconcellos
ایمیل نویسنده vasconcellos.dev@gmail.com
آدرس صفحه اصلی https://github.com/HeavenVolkoff/cpu_count
آدرس اینترنتی https://pypi.org/project/cpu-count/
مجوز BSD-3-Clause
# cpu_count [![project_badge](https://img.shields.io/badge/HeavenVolkoff/cpu__count-black.svg?style=for-the-badge&logo=github "Project Badge")](https://github.com/HeavenVolkoff/cpu_count) [![version_badge](https://img.shields.io/pypi/v/cpu_count?label=version&style=for-the-badge "Version Badge")](https://pypi.org/project/cpu-count/) [![python_version](https://img.shields.io/pypi/pyversions/cpu_count?style=for-the-badge "Python Version")](https://pypi.org/project/cpu-count/) [![license_badge](https://img.shields.io/github/license/HeavenVolkoff/cpu_count.svg?style=for-the-badge "License Badge")](https://opensource.org/licenses/BSD-3-Clause) Modified version of python's `cpu_count` that takes into account system constraints to calculate the number of available CPUs ## Motivation The Python standard library offers an implementation of cpu_count that returns the real number of CPUs even when they are not actually available to be used by the python process (due to constraints such as CPU affinity or CPU scheduler configurations). This is the preferred behaviour for most applications. However, when the interest is the amount of CPUs available for data processing, that approach could be misleading. Especially when it is used behind the scenes such as by the `concurrent.futures.Executor` when defining its defaults. The purpose of this module is to provide this functionality in an API equal to the standard implementation. By taking into account the described constraints, this implementation attempts to return the amount of usable CPUs that are available. If no constraint is identified the result will be the same as the standard implementation. ## How to install ``` pip install cpu_count ``` ## How to use ### As an external module This is the standard way. Just import and call `cpu_count` ```python from cpu_count import cpu_count print(cpu_count()) # $> 8 ``` ### Monkey-patch standard lib This an alternative way that replaces python's standard `cpu_count` with the one from this module (Affected internal modules are `posix`, `os` and `multiprocessing`). The advantage of this approach is not needing to port any code, just import and call `setup_monkey_patch` ate the begin of your application and everything will just work™. _Note: This will also have implications in the behaviour of standard libraries that use this function_ ```python import os from cpu_count.monkey_patch import setup_monkey_patch print(os.cpu_count()) # $> 12 setup_monkey_patch() print(os.cpu_count()) # $> 8 ``` #### Limitation This approach has one limitation: it can't replace previous code that imported the standard implementation using `from os import cpu_count`. ```python from os import cpu_count from cpu_count.monkey_patch import setup_monkey_patch print(cpu_count()) # $> 12 setup_monkey_patch() print(cpu_count()) # $> 12 ``` ### System wide monkey-patch This approach also replaces python's standard `cpu_count`. However instead of calling this module's `setup_monkey_patch` in your application code, it will be called at python startup. For this to work you need to create a file called `cpu_count_monkey_patch.pth` at your python's global or local site-package's folder with the following content: ```python import cpu_count; cpu_count.monkey_patch.setup_monkey_patch() ``` _NOTE: This approach is specially useful when creating container images of python applications. An example of using this on a Dockerfile can be found [here](tests/docker/Dockerfile)_ ## TODO - [ ] Add logic for Realtime Scheduler constraint - [ ] Create unit tests ## Contributions All contributions are very welcome. Code styles is defined in the [Editorconfig](.editorconfig) file. Besides that I use black and isort for auto-format, their configurations are defined in the [Editorconfig](.editorconfig) and the [black.toml](black.toml) files respectively. ## License BSD 3-Clause “New” or “Revised” License See [LICENSE](./LICENSE)


نیازمندی

مقدار نام
- importlib-metadata
- twine
- black
- isort
- venvtools


زبان مورد نیاز

مقدار نام
>3.5 Python


نحوه نصب


نصب پکیج whl cpu-count-1.0.0b3:

    pip install cpu-count-1.0.0b3.whl


نصب پکیج tar.gz cpu-count-1.0.0b3:

    pip install cpu-count-1.0.0b3.tar.gz