py-cpuinfo | A module for getting CPU info with pure Python

by workhorsy Python Version: 9.0.0 License: MIT

X-Ray Key Features Code Snippets(5)Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | py-cpuinfo Summary

py-cpuinfo is a Python library typically used in Hardware applications. py-cpuinfo has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install py-cpuinfo' or download it from GitHub, PyPI.

[PyPI - Downloads] Py-cpuinfo gets CPU info with pure Python. Py-cpuinfo should work without any extra programs or libraries, beyond what your OS provides. It does not require any compilation(C/C++, assembly, et cetera) to use. It works with Python 2 and 3. ~python ' Returns the CPU info by using the best sources of information for your OS. Returns the result in a dict ' get_cpu_info(). Returns the CPU info by using the best sources of information for your OS. Returns the result in a json string ' get_cpu_info_json() ~.

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Quality

Security

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Support

py-cpuinfo has a low active ecosystem.

It has 259 star(s) with 49 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 24 open issues and 106 have been closed. On average issues are closed in 340 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of py-cpuinfo is 9.0.0

Quality

py-cpuinfo has 0 bugs and 0 code smells.

Security

py-cpuinfo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

py-cpuinfo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

py-cpuinfo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

py-cpuinfo releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed py-cpuinfo and discovered the below as its top functions. This is intended to give you an instant insight into py-cpuinfo implemented functionality, and help decide if they suit your requirements.

Get CPU info
Write message to output
Copy the fields from the given info dict
Display new keys
Return information about the CPU
Parse arch string
Determine if selinux is in selinux
Run a command and return its output
Get CPU info from the given queue
Convert object to base64
Return CPU information
Checks whether the architecture is supported

Get all kandi verified functions for this library.

py-cpuinfo Key Features

No Key Features are available at this moment for py-cpuinfo.

py-cpuinfo Examples and Code Snippets

Before stopping the docker-container copy one file and store to the host

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

 docker run -it -v /path/to/input_dir/:/data/ -v /path/to/output_dir/:/data/output/ my-image bash

Python multiprocessing: find core ID

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

psutil.Process().cpu_num()

How to get CPU serial number on Windows using Python?

Python

Lines of Code : 16

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def getserial():
    # Extract serial from cpuinfo file
    with open('/proc/cpuinfo','r') as f:
        for line in f:
            if line[0:6] == 'Serial':
                return line[10:26]
        return "0000000000000000"

Find CPU L3 Cache Size using Python

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import subprocess
subprocess.Popen('wmic cpu get L3CacheSize')

Python3 + pytest + pytest-mock: Mocks leaking into other test functions breaking assertions?

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

mock_check_command_type = mocker.MagicMock(name="mock_check_command_type")
mock_check_command_type.return_value = True
mocker.patch.object(scarlett_os.subprocess.Subprocess, 'check_command_type', mock_check_command_type)

Community Discussions

Trending Discussions on py-cpuinfo

Colab: (0) UNIMPLEMENTED: DNN library is not found

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

Tensorflow Object Detection Api M1 Macbook Conflict Error

Can't install the pyhash module

tox fails on ImportError in python3.5

Tensorflow Python 3 Docker Image with mysql failing to install

QUESTION

Colab: (0) UNIMPLEMENTED: DNN library is not found

Asked 2022-Feb-08 at 19:27

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

...

ANSWER

Answered 2022-Feb-07 at 09:19

It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

Source https://stackoverflow.com/questions/71000120

QUESTION

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

Asked 2021-Nov-19 at 00:16

I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.

...

ANSWER

Answered 2021-Nov-19 at 00:16

I have solved this problem with

Source https://stackoverflow.com/questions/70012098

QUESTION

Tensorflow Object Detection Api M1 Macbook Conflict Error

Asked 2021-Nov-12 at 08:20

Machine: MacBook Air M1 2020

OS: macOs BigSur 11.4

Python version of venv: Python 3.8.6

Tensorflow version: ATF Apple Tensorflow 0.1a3

Pip version: 21.2.4

I have installed Tensorflow from github using this guide.

Now, my pip list is this.

...

ANSWER

Answered 2021-Sep-07 at 09:57

I have the same issue installing the Object Detection API for Tensorflow 2 (OD API) from sources on my MacBook Air M1 2020. It starts to lookup/download all available dependencies with very long errors and after several hours the process drains all available RAM and forces the laptop to reboot. I think the problem is with incompatible dependencies for arm64. I tried to build/install OD API for Tensorflow 1 instead and it worked! I successfully trained a model with TensorFlow 2 and GPU enabled.

Use the tf1 folder when you installing the OD API instead of tf2:

Source https://stackoverflow.com/questions/68945096

QUESTION

Can't install the pyhash module

Asked 2020-Nov-10 at 01:11

I'm trying to install the pyhash module by I keep getting an error. I tried 'pip install pyhash' and 'pip install pyhash==0.9.3' and none worked. The error is:

...

ANSWER

Answered 2020-Nov-10 at 01:11

First error message

The output looks like the installation is failing because the setup script expects the PYTHON_HOME environment variable to be set but it isn't.

Try executing this in your shell before rerunning the pip install command (in the same shell):
set PYTHON_HOME=c:\users\perei\appdata\local\programs\python\python38-32

Alternative: set PYTHON_HOME permanently:

open the Start menu and start typing "env"..., then click on "Edit the system environment variables (Control Panel)"
click New... under "User variables for "
under Variable name put "PYTHON_HOME"
under Variable value put the path to Python installation directory, in your case "c:\users\perei\appdata\local\programs\python\python38-32"
open a new instance of cmd.exe and retry the pip install command

Second error message

The script fails while trying to build a wheel: error: invalid command 'bdist_wheel'. Before failing it actually warns that The wheel package is not available.. You just need to do pip install wheel.

Source https://stackoverflow.com/questions/64721274

QUESTION

tox fails on ImportError in python3.5

Asked 2020-Oct-06 at 13:12

I am trying to run tox package on my project which worked fine so far. I am running in Phycharm on Windows 10 Pro 64-bit, tox version 3.15.0 when I run the command:

python -m tox --recreate

tox tests pass for python3.6,3.7,3.8 but not for Python3.5.

This is the error I get when I run:

python -m tox -epy35

...

ANSWER

Answered 2020-Oct-06 at 13:12

Your reported problem is actual a problem in Python 3.5.0!!

You can check your Python 3.5 version by entering a command like python3.5 --version or just enter python3.5 and have a look at the top of the repl output.

You can resolve the problem by installing the any higher point release of Python 3.5, e.g 3.5.1 or the even the latest one, 3.5.10.

This all said - Python 3.5 is already end of life ( https://www.python.org/downloads/ ). If there is no important reason, please consider to drop support for it.

Source https://stackoverflow.com/questions/64184703

QUESTION

Tensorflow Python 3 Docker Image with mysql failing to install

Asked 2020-Jan-07 at 15:37

Note: yes, there are many, many posts regarding the issues of installing mysql for python, specifically for python3 (e.g. Troubles installing mysqlclient with pip3). Most solutions are done in a non-dockerized manner. I have also read the mysqlclient install guide. I am still struggling to get it to work

A repo to clone and test for convenience.

Here I am trying to install it to my docker image.

Dockerfile.ai ...

ANSWER

Answered 2020-Jan-07 at 15:37

From "cannot find -lssl; cannot find -lcrypto" when installing mysql-python? it seems you need to install the libssl-dev package through apt

Source https://stackoverflow.com/questions/59620565

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install py-cpuinfo

You can install using 'pip install py-cpuinfo' or download it from GitHub, PyPI.
You can use py-cpuinfo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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