grg-pssedata | Python tools for working with PSSE v33 data files
kandi X-RAY | grg-pssedata Summary
kandi X-RAY | grg-pssedata Summary
grg-pssedata is a Python library. grg-pssedata has no bugs, it has no vulnerabilities, it has build file available and it has low support. However grg-pssedata has a Non-SPDX License. You can install using 'pip install grg-pssedata' or download it from GitHub, PyPI.
Python tools for working with PSSE v33 data files
Python tools for working with PSSE v33 data files
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Quality
Security
License
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Support
grg-pssedata has a low active ecosystem.
It has 15 star(s) with 4 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 10 have been closed. On average issues are closed in 541 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of grg-pssedata is 0.1.4
Quality
grg-pssedata has 0 bugs and 0 code smells.
Security
grg-pssedata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
grg-pssedata code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
grg-pssedata has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
grg-pssedata 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 2234 lines of code, 250 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 grg-pssedata and discovered the below as its top functions. This is intended to give you an instant insight into grg-pssedata implemented functionality, and help decide if they suit your requirements.
- Validates the state
- Checks the ownership of a component
- Check that the value is in a valid range
- Parses a pssse case file and returns a dictionary
- Parse PSE case data
- Parse a single line
- Print differences between two cases
- Compare two lists
- Return the PSE representation as a string
- Return a PSE string
- Convert to a PSSE string
- Convert to PSSE format
- Return a string representation of the object
- Return a string representation of the parameter
- Validate the field
- Validate the given transformer
- Convert to psse format
- Check equality of two cases
- Validate the transformer
- Validates the parameters
- Return a string representation of the PSSE
- Parse a PSse string
- Validate PSSED data
- Build command parser
- Validate the ckt data
Get all kandi verified functions for this library.
grg-pssedata Key Features
No Key Features are available at this moment for grg-pssedata.
grg-pssedata Examples and Code Snippets
No Code Snippets are available at this moment for grg-pssedata.
Community Discussions
No Community Discussions are available at this moment for grg-pssedata.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install grg-pssedata
You can install using 'pip install grg-pssedata' or download it from GitHub, PyPI.
You can use grg-pssedata 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 grg-pssedata 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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