resolve-march-native | GCC flags -march=native would resolve
kandi X-RAY | resolve-march-native Summary
kandi X-RAY | resolve-march-native Summary
resolve-march-native is a Python library. resolve-march-native has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install resolve-march-native' or download it from GitHub, PyPI.
:snail: Tool to determine what GCC flags -march=native would resolve into
:snail: Tool to determine what GCC flags -march=native would resolve into
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Quality
Security
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Support
resolve-march-native has a low active ecosystem.
It has 23 star(s) with 6 fork(s). There are 1 watchers for this library.
There were 5 major release(s) in the last 12 months.
There are 1 open issues and 6 have been closed. On average issues are closed in 24 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of resolve-march-native is 5.0.2
Quality
resolve-march-native has 0 bugs and 0 code smells.
Security
resolve-march-native has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
resolve-march-native code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
resolve-march-native 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
resolve-march-native releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
It has 529 lines of code, 31 functions and 13 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed resolve-march-native and discovered the below as its top functions. This is intended to give you an instant insight into resolve-march-native implemented functionality, and help decide if they suit your requirements.
- Main entry point
- Adds preferred flags to flag_set
- Run the program
- Parses the output of the gcc command
- Run a gcc command
- Extract the flags from the text
- Resolve native flags
- This function will add flags to the target set
- Returns a set of all flags implied by the given architecture
- Returns a set of all flags implied by march
- Generator of flags
- Return a list of flags implied by arch
- Check if the given flag is present
- Extract the arch from flags
- Extract a tuple from flags
- Enforces C language
- Resolve mno - mno flags
- Return the command line for march
- Dump known flags
- Read a file
Get all kandi verified functions for this library.
resolve-march-native Key Features
No Key Features are available at this moment for resolve-march-native.
resolve-march-native Examples and Code Snippets
No Code Snippets are available at this moment for resolve-march-native.
Community Discussions
No Community Discussions are available at this moment for resolve-march-native.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install resolve-march-native
You can install using 'pip install resolve-march-native' or download it from GitHub, PyPI.
You can use resolve-march-native 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.
You can use resolve-march-native 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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