pyperf | Code samples for performance analysis of python scripts | Performance Testing library

 by   vijayanant Python Version: Current License: No License

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 and it has low support. However pyperf build file is not available. You can download it from GitHub.

Code samples for performance analysis of python scripts
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              pyperf has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              pyperf has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyperf is current.

            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 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              pyperf releases are not available. You will need to build from source code and install.
              pyperf has no build file. You will be need to create the build yourself to build the component from source.
              It has 94 lines of code, 9 functions and 5 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.
            • Merges two lists .
            • Perform quick sort .
            • Sort a list of items .
            • Sorts a list of items in place .
            • Calculate elapsed time .
            • Sorts the given set of items .
            • Initialize the logger .
            • Start the timer .
            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

            QUESTION

            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:

            ...

            ANSWER

            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:

            Source https://stackoverflow.com/questions/59912147

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyperf

            You can download it from GitHub.
            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.

            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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            https://github.com/vijayanant/pyperf.git

          • CLI

            gh repo clone vijayanant/pyperf

          • sshUrl

            git@github.com:vijayanant/pyperf.git

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