syntax_analyzer | syntax analyzer for Russian | Code Quality library

by constantin50 Python Version: Current License: MIT

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

kandi X-RAY | syntax_analyzer Summary

syntax_analyzer is a Python library typically used in Code Quality applications. syntax_analyzer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However syntax_analyzer build file is not available. You can download it from GitHub.

This is syntax analyzer for Russian based on context-free grammar. It uses OpenCorpora dictionary of labelled words and pymorphy2 as interface.

Support

Quality

Security

License

Reuse

Support

syntax_analyzer has a low active ecosystem.

It has 22 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of syntax_analyzer is current.

Quality

syntax_analyzer has 0 bugs and 0 code smells.

Security

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

syntax_analyzer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

syntax_analyzer 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

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

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

Installation instructions are not available. Examples and code snippets are available.

syntax_analyzer saves you 152 person hours of effort in developing the same functionality from scratch.

It has 380 lines of code, 29 functions and 2 files.

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

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syntax_analyzer Key Features

No Key Features are available at this moment for syntax_analyzer.

syntax_analyzer Examples and Code Snippets

No Code Snippets are available at this moment for syntax_analyzer.

Community Discussions

Trending Discussions on syntax_analyzer

How to identify wasteful representations of Prolog terms

QUESTION

How to identify wasteful representations of Prolog terms

Asked 2019-Jan-20 at 21:40

What is the Prolog predicate that helps to show wasteful representations of Prolog terms?

Supplement

In a aside of an earlier Prolog SO answer, IIRC by mat, it used a Prolog predicate to analyze a Prolog term and show how it was overly complicated.

Specifically for a term like

...

ANSWER

Answered 2017-Jul-14 at 15:53

Please see the last part of:

https://stackoverflow.com/a/42722823/1613573

It uses write_canonical/1 to display the canonical representation of a term.

This predicate is very useful when learning Prolog and helps to clear several misconceptions that are typical for beginners. See for example the recent question about hyphens, where it would have helped too.

Note that in SWI, the output deviates from canonical Prolog syntax in general, so I am not using SWI when explaining Prolog syntax.

Source https://stackoverflow.com/questions/45102330

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

Vulnerabilities

No vulnerabilities reported

Install syntax_analyzer

You can download it from GitHub.
You can use syntax_analyzer 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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