pyperf | Toolkit to run Python benchmarks | Performance Testing library

 by   psf Python Version: 2.6.2 License: MIT

kandi X-RAY | pyperf Summary

kandi X-RAY | pyperf Summary

pyperf is a Python library typically used in Testing, Performance Testing applications. pyperf has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pyperf build file is not available. You can install using 'pip install pyperf' or download it from GitHub, PyPI.

Toolkit to run Python benchmarks

            kandi-support Support

              pyperf has a low active ecosystem.
              It has 594 star(s) with 69 fork(s). There are 19 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 26 open issues and 50 have been closed. On average issues are closed in 68 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyperf is 2.6.2

            kandi-Quality Quality

              pyperf has 0 bugs and 0 code smells.

            kandi-Security Security

              pyperf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyperf code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyperf is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyperf releases are available to install and integrate.
              Deployable package is available in PyPI.
              pyperf has no build file. You will be need to create the build yourself to build the component from source.
              It has 8049 lines of code, 705 functions and 44 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyperf and discovered the below as its top functions. This is intended to give you an instant insight into pyperf implemented functionality, and help decide if they suit your requirements.
            • Convert input files to benchmarks
            • Print fatal errors
            • Prints a fatal error message
            • Filters the runs based on include
            • Bench a function
            • Parse arguments
            • Determine if the worker task is equal
            • Create argument parser
            • Parse CPU list
            • Print the enabled CPU information
            • Return a tuple of datetime objects
            • Construct a test suite from a JSON file
            • Show the current kernel version
            • Write to file
            • Show how many CPU is enabled
            • Print the most recent benchmarks
            • Execute timeit
            • Write to the file
            • Collect metadata for the given metrics
            • Benchmark a benchmark
            • Plot a benchmark
            • Benchmark a function
            • Execute a subprocess
            • Write text to file
            • Print benchmark histogram
            • Run a benchmark command
            Get all kandi verified functions for this library.

            pyperf Key Features

            No Key Features are available at this moment for pyperf.

            pyperf Examples and Code Snippets

            No Code Snippets are available at this moment for pyperf.

            Community Discussions


            Why does subclassing in Python slow things down so much?
            Asked 2020-Jan-26 at 02:15

            I was working on a simple class that extends dict, and I realized that key lookup and use of pickle are very slow.

            I thought it was a problem with my class, so I did some trivial benchmarks:



            Answered 2020-Jan-26 at 02:15

            Indexing and in are slower in dict subclasses because of a bad interaction between a dict optimization and the logic subclasses use to inherit C slots. This should be fixable, though not from your end.

            The CPython implementation has two sets of hooks for operator overloads. There are Python-level methods like __contains__ and __getitem__, but there's also a separate set of slots for C function pointers in the memory layout of a type object. Usually, either the Python method will be a wrapper around the C implementation, or the C slot will contain a function that searches for and calls the Python method. It's more efficient for the C slot to implement the operation directly, as the C slot is what Python actually accesses.

            Mappings written in C implement the C slots sq_contains and mp_subscript to provide in and indexing. Ordinarily, the Python-level __contains__ and __getitem__ methods would be automatically generated as wrappers around the C functions, but the dict class has explicit implementations of __contains__ and __getitem__, because the explicit implementations are a bit faster than the generated wrappers:


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


            No vulnerabilities reported

            Install pyperf

            You can install using 'pip install pyperf' or download it from GitHub, PyPI.
            You can use pyperf 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.


            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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          • PyPI

            pip install pyperf

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            gh repo clone psf/pyperf

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