pyssla | Pyssla is a rule-based source code analyzer for Python | Code Analyzer library

by jrydberg Python Version: Current License: Non-SPDX

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

kandi X-RAY | pyssla Summary

pyssla is a Python library typically used in Code Quality, Code Analyzer applications. pyssla has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyssla has a Non-SPDX License. You can download it from GitHub.

TL;DR: Pyssla will check if your Python code is decent shape. Pyssla will analyse Python code and see if it conforms to a set of rules. There are rules for all kinds of different things ranging from naming of local variables to cyclomatic complexity. For a complete list of rules, see RULES.md.

Support

Quality

Security

License

Reuse

Support

pyssla has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1863 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyssla is current.

Quality

pyssla has 0 bugs and 0 code smells.

Security

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

pyssla code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyssla 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

pyssla 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.

Installation instructions, examples and code snippets are available.

It has 670 lines of code, 78 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Analyze node
Returns the node that matches the given pattern
Determine if node matches pattern
Check that two nodes have the same fields
Analyze function definitions
Return a list of node attributes
Handle variable names
Delete node
Analyze given AST node
Return the binding for the given name
Run checker
Return a string representation of a node
Analyze public methods
Check variable names
Check if a function is too many
Check for imports
Bind import nodes
Check if the node is too large
Class definition
Evaluate a node
Check if the given node is too many
Analyze node imports
Check if the argument list is exceeded
Visit generator expressions
Analyze the function
Resolve module scope

Get all kandi verified functions for this library.

pyssla Key Features

No Key Features are available at this moment for pyssla.

pyssla Examples and Code Snippets

No Code Snippets are available at this moment for pyssla.

Community Discussions

Trending Discussions on pyssla

Is there a faster way to calculate number of keyword matches for each observation in a dataset

QUESTION

Is there a faster way to calculate number of keyword matches for each observation in a dataset

Asked 2019-Jun-13 at 12:17

My dataset contains variables: An integer code (INS) and a text description (Beskr).

I have performed a webscraping in which I extracted different keywords for each of the 88 different codes. I want to count the number of matches in the text descriptions with these keywords and store the count in a new variable for each code.

With using only a few observations it runs fast with the nested for-loops but when I increase the size of the data it takes a really long time. is there any easier and faster way to do this? The dataset should contain columns for code, descriptions and 88 variables with counts of keyword matches.

...

ANSWER

Answered 2019-Jun-13 at 11:32

I adapted the solution from here to your problem. It gives you counts per keyword. You only have to sum up the keyword groups.

Source https://stackoverflow.com/questions/56578038

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

Vulnerabilities

No vulnerabilities reported

Install pyssla

Install it from PyPi:.

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: