cs4740_1 | Arbitrary Precision and Arbitrary n

by astory Python Version: Current License: Non-SPDX

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

kandi X-RAY | cs4740_1 Summary

cs4740_1 is a Python library. cs4740_1 has no bugs, it has no vulnerabilities and it has low support. However cs4740_1 build file is not available and it has a Non-SPDX License. You can download it from GitHub.

#Arbitrary Precision and Arbitrary n-Grams ##By Alec Story and Thomas Levine ./ngram.py to see the different command-line flags for ngram.py.

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Quality

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License

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Support

cs4740_1 has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cs4740_1 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cs4740_1 is current.

Quality

cs4740_1 has no bugs reported.

Security

cs4740_1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cs4740_1 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

cs4740_1 releases are not available. You will need to build from source code and install.

cs4740_1 has no build file. You will be need to create the build yourself to build the component from source.

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cs4740_1 Key Features

No Key Features are available at this moment for cs4740_1.

cs4740_1 Examples and Code Snippets

No Code Snippets are available at this moment for cs4740_1.

Community Discussions

No Community Discussions are available at this moment for cs4740_1.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cs4740_1

You can download it from GitHub.
You can use cs4740_1 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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