msparser | Parser for Valgrind 's massif.out file format

 by   MathieuTurcotte Python Version: 1.4 License: MIT

kandi X-RAY | msparser Summary

kandi X-RAY | msparser Summary

msparser is a Python library. msparser 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 msparser' or download it from GitHub, PyPI.

Parser for Valgrind's massif.out file format.
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            kandi-support Support

              msparser has a low active ecosystem.
              It has 18 star(s) with 3 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              msparser has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of msparser is 1.4

            kandi-Quality Quality

              msparser has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              msparser 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

              msparser 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.
              msparser saves you 252 person hours of effort in developing the same functionality from scratch.
              It has 613 lines of code, 46 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed msparser and discovered the below as its top functions. This is intended to give you an instant insight into msparser implemented functionality, and help decide if they suit your requirements.
            • Parse a file
            • Parse a snapshot
            • Match a regular expression against a given regex
            • Parse a single header
            • Parse the contents of a file
            • Parse the heap tree
            • Parse snapshot metadata
            • Get the next field
            • Get the next line from the stream
            • Print a PNG file
            • Determine the unit scaling for a given peak
            • Return the value of the memory unit scaling
            • Time unit scaling
            • Parse command line arguments
            • Print data as JSON
            • Pretty - print the data table
            • Read file content
            Get all kandi verified functions for this library.

            msparser Key Features

            No Key Features are available at this moment for msparser.

            msparser Examples and Code Snippets

            No Code Snippets are available at this moment for msparser.

            Community Discussions

            No Community Discussions are available at this moment for msparser.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install msparser

            You can install using 'pip install msparser' or download it from GitHub, PyPI.
            You can use msparser 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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            Install
          • PyPI

            pip install msparser

          • CLONE
          • HTTPS

            https://github.com/MathieuTurcotte/msparser.git

          • CLI

            gh repo clone MathieuTurcotte/msparser

          • sshUrl

            git@github.com:MathieuTurcotte/msparser.git

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