numerizer | Python module to convert natural language numerics | Natural Language Processing library

by jaidevd Python Version: 0.2.3 License: MIT

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

kandi X-RAY | numerizer Summary

numerizer is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. numerizer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install numerizer' or download it from GitHub, PyPI.

A Python module to convert natural language numerics into ints and floats.

Support

Quality

Security

License

Reuse

Support

numerizer has a low active ecosystem.

It has 112 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 171 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of numerizer is 0.2.3

Quality

numerizer has 0 bugs and 0 code smells.

Security

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

numerizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

numerizer 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

numerizer releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 547 lines of code, 48 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Numerize a document
Convert string to numerals
Converts a string to numerals
Convert a string to numerically
Enumerize big prefixes
Replace all numbers in a string
Clean up fractions
Convert a string into a regular expression
R Number of half of a string
Postprocess string
Given a list of words return a regular expression
Preprocess a string
Register an extension
Convert a span

Get all kandi verified functions for this library.

numerizer Key Features

No Key Features are available at this moment for numerizer.

numerizer Examples and Code Snippets

No Code Snippets are available at this moment for numerizer.

Community Discussions

Trending Discussions on numerizer

Rails 5.2 to 6.0 upgrade issues with migration namespacing: uninitialized constant errors

QUESTION

Rails 5.2 to 6.0 upgrade issues with migration namespacing: uninitialized constant errors

Asked 2020-Jan-21 at 20:50

Am having an issue with a NameError Exception: uninitialized constant error inside migrations that reference ActiveRecord models. These same issue are not present in the console, so I am a little stumped as to what is happening in the migration that is different from in the rails console.

Basically, my ActiveRecord models do not seem to be autoloading everything correctly.

Here is an example of a simple call that works in the console but raises an error in the migration:

...

ANSWER

Answered 2020-Jan-21 at 20:50

This ended up being a known issue:

https://github.com/rails/rails/issues/37748

Hopefully it will be fixed soon. And, part of my confusion had to do with dealing with byebug which was confusing me in terms of what was causing the real error.

Source https://stackoverflow.com/questions/59806536

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

Vulnerabilities

No vulnerabilities reported

Install numerizer

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