cpp-coveralls | Upload gcov results to coveralls.io | UI Testing library
kandi X-RAY | cpp-coveralls Summary
kandi X-RAY | cpp-coveralls Summary
cpp-coveralls is a Python library typically used in Testing, UI Testing applications. cpp-coveralls 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 cpp-coveralls' or download it from GitHub, PyPI.
Upload C/C++ coverage report to coveralls.io.
Upload C/C++ coverage report to coveralls.io.
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Quality
Security
License
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cpp-coveralls has a low active ecosystem.
It has 266 star(s) with 72 fork(s). There are 13 watchers for this library.
It had no major release in the last 12 months.
There are 32 open issues and 49 have been closed. On average issues are closed in 91 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of cpp-coveralls is 0.4.2
Quality
cpp-coveralls has 0 bugs and 0 code smells.
Security
cpp-coveralls has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
cpp-coveralls code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
cpp-coveralls is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
cpp-coveralls 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.
Installation instructions are not available. Examples and code snippets are available.
cpp-coveralls saves you 249 person hours of effort in developing the same functionality from scratch.
It has 609 lines of code, 30 functions and 7 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed cpp-coveralls and discovered the below as its top functions. This is intended to give you an instant insight into cpp-coveralls implemented functionality, and help decide if they suit your requirements.
- Run coverage tests
- Collect src files
- Parse yaml configuration
- Collect all non - report files in the root directory
Get all kandi verified functions for this library.
cpp-coveralls Key Features
No Key Features are available at this moment for cpp-coveralls.
cpp-coveralls Examples and Code Snippets
No Code Snippets are available at this moment for cpp-coveralls.
Community Discussions
Trending Discussions on cpp-coveralls
QUESTION
compiler error: is private within this context only on gcc9 with c++17
Asked 2019-Jun-26 at 08:51
I test my code using travis. Recently someone added gcc9 to the set of compilers the code gets tested with. While everything compiles fine with gcc8 (both with c++14 and c++17) and gcc-9.1.0 with c++14 it fails with gcc-9.1.0 with c++17 with the following error:
...ANSWER
Answered 2019-Jun-26 at 08:51A more minimal example is this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cpp-coveralls
You can install using 'pip install cpp-coveralls' or download it from GitHub, PyPI.
You can use cpp-coveralls 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 cpp-coveralls 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 .
Find more information at:
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