ln.py | The 3D Line Art Engine for Python | Graphics library

by ksons Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ln.py Summary

ln.py is a Python library typically used in User Interface, Graphics applications. ln.py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is the original Go implementation by @fogleman: ln.py is a vector-based 3D renderer written in Python. It is used to produce 2D vector graphics (think SVGs) depicting 3D scenes.

Support

Quality

Security

License

Reuse

Support

ln.py has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

ln.py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ln.py is current.

Quality

ln.py has 0 bugs and 0 code smells.

Security

ln.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ln.py code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ln.py 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

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

Build file is available. You can build the component from source.

It has 930 lines of code, 115 functions and 23 files.

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

Top functions reviewed by kandi - BETA

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

Split the bounding box according to the given depth .
Create a 3D scene .
Load Mesh from file .
Simplify a path .
Return a list of Paths .
Construct a path with the given transformation .
Write the path to a PNG file .
Calculate the distance between two segments .
Returns True iff v is contained within f .
Returns a Box for a list of vectors .

Get all kandi verified functions for this library.

ln.py Key Features

No Key Features are available at this moment for ln.py.

ln.py Examples and Code Snippets

No Code Snippets are available at this moment for ln.py.

Community Discussions

Trending Discussions on ln.py

snakemake - wildcards from python dictionary

QUESTION

snakemake - wildcards from python dictionary

Asked 2021-Jun-22 at 14:42

I am writing a snakemake file that has input files on a specific location, with specific folder names (for this example, barcode9[456]). I need to change the naming conventions in these directories so I now want to add a first rule to my snakemake, which would link the folders in the original location (FASTQ_PATH) to an output folder in the snakemake working directory. The names of the link folders in this directory come from a python dictionay d, defined in the snakemake. I would then use these directories as input for the downstream rules.

So the first rule of my snakemake is actually a python script (scripts/ln.py) that maps the naming convention in the original directory to the desired naming conventions, and links the fastqs:

The snakemake looks like so:

...

ANSWER

Answered 2021-Jun-22 at 14:42

If I understand correctly, I think it could be easier...

I would reverse the key/value mapping (here with dict(zip(...))) than use a lambda input function to get the source directory for each output key:

Source https://stackoverflow.com/questions/68084019

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

Vulnerabilities

No vulnerabilities reported

Install ln.py

You can download it from GitHub.
You can use ln.py 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: