natto | extreme vegan package of random , experimental and alien code

by jarioksa R Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | natto Summary

natto is a R library. natto has no bugs, it has no vulnerabilities and it has low support. However natto has a Non-SPDX License. You can download it from GitHub.

natto is an extreme vegan package that contains experimental, specialized or unfinished code that does not fit to the more general vegan package. Some of these functions may be merged to vegan later, but the package is not a code kindergarten with guaranteed tenure track to vegan.

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Support

natto has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of natto is current.

Quality

natto has no bugs reported.

Security

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

License

natto 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

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

Installation instructions, examples and code snippets are available.

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natto Key Features

No Key Features are available at this moment for natto.

natto Examples and Code Snippets

No Code Snippets are available at this moment for natto.

Community Discussions

Trending Discussions on natto

Matching strings in an array with over 2000 elements

Could not open library '/usr/lib/libmecab.so.2': /usr/lib/libmecab.so.2: cannot open shared object file: No such file or directory (LoadError)

How can I use non-Python dependencies for my Django Zappa project?

QUESTION

Matching strings in an array with over 2000 elements

Asked 2020-Jun-29 at 02:05

I'd like to find JavaScript libraries or general algorithms (write my own library) to be able to match strings in my array with over 2000 strings. In Discord you can leave out letters and it'll still be able to match against someone so I'd like to be able to do the same. For example, searching "js" would match against "JavaScript" in my word bank. Or searching "ccard" would match against "credit card".

I would like the matching results to be ranked based on entropy or something. For example, searching "nattorice" would rank the result of "Natto with Rice" to be better than "Natural Cotton Fabric Selection" because the letters hit are closer grouped together rather than spread apart.

I don't know what to search in google to help me figure out some implementation that is efficient.

...

ANSWER

Answered 2020-Jun-29 at 01:26

You can use the fuzzysort library to do this.

Source https://stackoverflow.com/questions/62629683

QUESTION

Could not open library '/usr/lib/libmecab.so.2': /usr/lib/libmecab.so.2: cannot open shared object file: No such file or directory (LoadError)

Asked 2019-Dec-11 at 04:20

when i tried to start my rails server i got an error related to mecab So i followed below given instruction to install mecab and it was installed successfully i checked the version of mecab

while installing mecab followed steps are

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ANSWER

Answered 2019-Dec-11 at 04:20

On Ununtu the mecab lib is in /usr/lib/x86_64-linux-gnu/libmecab.so. So this should work:

Source https://stackoverflow.com/questions/59278226

QUESTION

How can I use non-Python dependencies for my Django Zappa project?

Asked 2017-Nov-27 at 19:56

I'm using a Python package called natto-py which requires a non-python Japanese tokeniser called MeCab.

Is it possible to use this for my Zappa project? How can MeCab be installed on Lambda (since pip does not work)?

Django 1.10 & Python 3.5

...

ANSWER

Answered 2017-Nov-27 at 19:56

Just drop the binary in the same directory as your zappa project and zappa will zip it up and ship it to Lambda.

Since you are compiling your own binary, I would strongly recommend using a local docker environment for zappa to more closely match the AWS Lambda environment.

Also if your binary is big and will make your Lambda package bigger than 50MB then be sure to use the slim_handler option.

Source https://stackoverflow.com/questions/47502218

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

Vulnerabilities

No vulnerabilities reported

Install natto

There are no binary packages available at the moment, but if you install Hadley Wickham's devtools package from CRAN, you can install natto directly from github:.

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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