classy_blocks | Python classes for easier creation of OpenFOAM's blockMesh dictionaries

by damogranlabs Python Version: Current License: MIT

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kandi X-RAY | classy_blocks Summary

classy_blocks is a Python library. classy_blocks has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However classy_blocks build file is not available. You can install using 'pip install classy_blocks' or download it from GitHub, PyPI.

This is a collection of Python classes for creation of blockMeshDict files for OpenFOAM's blockMesh tool. Its purpose is to avoid manual entering of numbers into blockMeshDict and also avoid the dreadful m4 or #calc. Since it is easier to crunch numbers and vectors and everything else with numpy it is a better idea to do that there and then just throw everything into blockMeshDicts. This tool is a link between these two steps.

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Quality

Security

License

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Support

classy_blocks has a low active ecosystem.

It has 70 star(s) with 26 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 22 have been closed. On average issues are closed in 115 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of classy_blocks is current.

Quality

classy_blocks has 0 bugs and 0 code smells.

Security

classy_blocks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

classy_blocks code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

classy_blocks is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

classy_blocks releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

classy_blocks has no build file. You will be need to create the build yourself to build the component from source.

It has 1125 lines of code, 141 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed classy_blocks and discovered the below as its top functions. This is intended to give you an instant insight into classy_blocks implemented functionality, and help decide if they suit your requirements.

Get the mesh structure
Load a Lednicer air
Add an item
Find the index of a point in a set of points
Adds a divider to the block mesh
Calculates the number of functions given a dictionary
Calculate the length of arc
Convert a vector to cartesian
Convert x y z z z z z y z y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z y z z z z z z z z z z z z z z z z z z z z z z z z z z z z z z y z z z z z z z z z z z z z z z z z z
Write the block mesh to a file
Collect all edges from the mesh
Prepare the data
Find the edge between two vertices
Return the angle between two vectors
Convert point to polar
Rotate a point
Return an arbitrary rotation matrix
Write a template to a dictionary
Compute the length of the curve
Return the distance between two line points
Get the version string
Read a file from the root directory
Read a file

Get all kandi verified functions for this library.

classy_blocks Key Features

No Key Features are available at this moment for classy_blocks.

classy_blocks Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install classy_blocks

You can install using 'pip install classy_blocks' or download it from GitHub, PyPI.
You can use classy_blocks 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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