lcapy | Python package for symbolic linear circuit analysis

by mph- Python Version: 1.23 License: LGPL-2.1

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | lcapy Summary

lcapy is a Python library typically used in Quantum Computing applications. lcapy has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However lcapy has 16 bugs. You can install using 'pip install lcapy' or download it from GitHub, PyPI.

Lcapy is a Python package for linear circuit analysis. It uses SymPy for symbolic mathematics. Lcapy can symbolically analyse circuits described with netlists or by series/parallel combinations of components. It can also manipulate continuous-time and discret-time expressions. Comprehensive documentation can be found at

Support

Quality

Security

License

Reuse

Support

lcapy has a low active ecosystem.

It has 184 star(s) with 34 fork(s). There are 20 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 18 open issues and 81 have been closed. On average issues are closed in 13 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lcapy is 1.23

Quality

lcapy has 16 bugs (7 blocker, 0 critical, 9 major, 0 minor) and 1141 code smells.

Security

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

lcapy code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

lcapy is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

lcapy 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.

lcapy saves you 10556 person hours of effort in developing the same functionality from scratch.

It has 21440 lines of code, 2469 functions and 217 files.

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

Top functions reviewed by kandi - BETA

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

Compute term xq .
Parse Lcapy schematic .
Create a StateSpace instance from a circuit .
Plot a frequency spectrum .
Draw the Schematic .
Returns True if the expression is multiplicative with n .
Plot poles and zeros .
Parameterize the expression .
Plot a circle .
Analyze the circuit .

Get all kandi verified functions for this library.

lcapy Key Features

No Key Features are available at this moment for lcapy.

lcapy Examples and Code Snippets

No Code Snippets are available at this moment for lcapy.

Community Discussions

Trending Discussions on lcapy

Complex numbers in sympy

RunTimeError: pdf Latex not install

QUESTION

Complex numbers in sympy

Asked 2021-Jun-04 at 19:13

I am using lcapy together with sympy and trying to process complex numbers from a circuit.

I have the following sympy expression:

...

ANSWER

Answered 2021-Jun-04 at 19:13

I can do (in an isympy session):

Source https://stackoverflow.com/questions/67829069

QUESTION

RunTimeError: pdf Latex not install

Asked 2021-May-14 at 21:23

$ schtex drawing.sch drawing.png

...

ANSWER

Answered 2021-May-14 at 19:33

From my experience, running these packages require to actually have a LaTeX distribution installed on your computer (which contains pdflatex).

I would recommend you using teXlive, which is one of the most common : https://www.tug.org/texlive/

You could also use MikTeX which is also a very common distribution : https://miktex.org/

Source https://stackoverflow.com/questions/67539249

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

Vulnerabilities

No vulnerabilities reported

Install lcapy

You can install using 'pip install lcapy' or download it from GitHub, PyPI.
You can use lcapy 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 comprehensive documentation, see http://lcapy.readthedocs.io/en/latest (alternatively, the documentation can be viewed in a web browser after running 'make doc' in the top-level directory). For release notes see http://lcapy.readthedocs.io/en/latest/releases.html. For another view on Lcapy see https://blog.ouseful.info/2018/08/07/an-easier-approach-to-electrical-circuit-diagram-generation-lcapy/. Copyright 2014--2021 Michael Hayes, UCECE.

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