grift | library that allows you to write | Unit Testing library

by markbates Go Version: v1.5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | grift Summary

grift is a Go library typically used in Testing, Unit Testing applications. grift has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Grift is a very simple library that allows you to write simple "task" scripts in Go and run them by name without having to write big main type of wrappers. Grift is similar to, and inspired by, Rake.

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Quality

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Support

grift has a low active ecosystem.

It has 376 star(s) with 23 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 12 have been closed. On average issues are closed in 25 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of grift is v1.5.0

Quality

grift has 0 bugs and 0 code smells.

Security

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

grift code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

grift 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

grift releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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grift Key Features

No Key Features are available at this moment for grift.

grift Examples and Code Snippets

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Community Discussions

Trending Discussions on grift

How to get per term statistics in Elasticsearch

Count+Identify common words in two string vectors [R]

QUESTION

How to get per term statistics in Elasticsearch

Asked 2021-Mar-20 at 11:23

I need to implement the following (on the backend): a user types a query and gets back hits as well as statistics for the hits. Below is a simplified example.

Suppose the query is Grif, then the user gets back (random words just for example)

Griffith
Griffin
Grif
Grift
Griffins

And frequency + number of documents a certain term occurs in, for example:

Griffith (freq 10, 3 docs)
Griffin (freq 17, 9 docs)
Grif (freq 6, 3 docs)
Grift (freq 9, 5 docs)
Griffins (freq 11, 4 docs)

I'm relatively new to Elasticsearch, so I'm not sure where to start to implement something like this. What type of query is the most suitable for this? What can I use to get that kind of statistics? Any other advice will be appreciated too.

...

ANSWER

Answered 2021-Mar-20 at 11:23

There are multiple layers to this. You'd need:

n-gram / partial / search-as-you-type matching
a way to group the matched keywords by their original form
a mechanism to reversely look up the document & term frequencies.

I'm not aware of any way to achieve this in one go, but here's my take on it.

You could start off with a special, n-gram-powered analyzer, as explained in my other answer. There's the original content field, plus a multi-field mapping for the said analyzer, plus a keyword field to aggregate on down the line:

Source https://stackoverflow.com/questions/66711054

QUESTION

Count+Identify common words in two string vectors [R]

Asked 2020-Dec-22 at 14:19

How can I write an R function that can take two string vectors and returns the number of common words AND which common words comparing element 1 from stringvec1 to element 1 of stringvec2, element 2 of strinvec1 to element 2 of stringvec2, etc.

Suppose I have these data:

...

ANSWER

Answered 2020-Dec-22 at 13:25

You can split string at each word and perform the operation.

In base R :

Source https://stackoverflow.com/questions/65409395

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

Vulnerabilities

No vulnerabilities reported

Install grift

Installation is really easy using go get.

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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