qcgc-pypy-benchmarks | Custom Benchmark Collection intended for PyPy

by ntruessel Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | qcgc-pypy-benchmarks Summary

qcgc-pypy-benchmarks is a Python library. qcgc-pypy-benchmarks has no bugs, it has no vulnerabilities and it has low support. However qcgc-pypy-benchmarks build file is not available. You can download it from GitHub.

A collection of benchmarks to measure the performance of pypy compiled with qcgc (or every other python implementation).

Support

Quality

Security

License

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Support

qcgc-pypy-benchmarks has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

qcgc-pypy-benchmarks has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qcgc-pypy-benchmarks is current.

Quality

qcgc-pypy-benchmarks has 0 bugs and 0 code smells.

Security

qcgc-pypy-benchmarks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

qcgc-pypy-benchmarks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qcgc-pypy-benchmarks does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

qcgc-pypy-benchmarks releases are not available. You will need to build from source code and install.

qcgc-pypy-benchmarks has no build file. You will be need to create the build yourself to build the component from source.

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

It has 325 lines of code, 29 functions and 4 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Splay the algorithm .
Advance a given number of pairs .
Run the benchmark .
Generate a random key .
Raises an Assertion .
Insert a new node into the SplayTree .
Generate a payload tree .
Calculate the moments of a planet .
Calculate the energy of pairs in pairs .
Parse arguments .

Get all kandi verified functions for this library.

qcgc-pypy-benchmarks Key Features

No Key Features are available at this moment for qcgc-pypy-benchmarks.

qcgc-pypy-benchmarks Examples and Code Snippets

No Code Snippets are available at this moment for qcgc-pypy-benchmarks.

Community Discussions

No Community Discussions are available at this moment for qcgc-pypy-benchmarks.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install qcgc-pypy-benchmarks

You can download it from GitHub.
You can use qcgc-pypy-benchmarks 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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