Kookie | server software for Minecraft : Bedrock Edition | Game Engine library

by organization Kotlin Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | Kookie Summary

Kookie is a Kotlin library typically used in Gaming, Game Engine, Minecraft applications. Kookie has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A server software for Minecraft: Bedrock Edition written in Kotlin.

Support

Quality

Security

License

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Support

Kookie has a low active ecosystem.

It has 50 star(s) with 3 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Kookie is current.

Quality

Kookie has no bugs reported.

Security

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

License

Kookie is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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Kookie Key Features

No Key Features are available at this moment for Kookie.

Kookie Examples and Code Snippets

No Code Snippets are available at this moment for Kookie.

Community Discussions

Trending Discussions on Kookie

Improve readability in my CLI application's hash returns using map or each

vector subscript out of range when try to acess a variable through multiple vectors

Fuzzy Wuzzy String Matching on 2 Large Data Sets Based on a Condition - python

Multiprocessing group apply python

QUESTION

Improve readability in my CLI application's hash returns using map or each

Asked 2020-Aug-06 at 04:05

My application returns a hash of keys and values and I'd like it to display them in an easily readable way. Is there a way I can get it to display the key's as well as the info. So if I search for a strain it will return something similar to this

ID: The ID number Name: The name Race: The race flavor: the flavor etc.

sample of what it prints:

...

ANSWER

Answered 2020-Aug-06 at 04:05

There is a great console library called Hirb which can be used just for this purpose. For example, assuming your array of hashes is in data, we can do this:

Source https://stackoverflow.com/questions/63275102

QUESTION

vector subscript out of range when try to acess a variable through multiple vectors

Asked 2018-Nov-03 at 09:07

before posting this error , i have checked that i am not trying to access vector's member that is out of scope , and yes the first member of a vector starts with index 0 and end with (vector size - 1)

I have strip down the non-relevant codes to display my error.

...

ANSWER

Answered 2018-Nov-03 at 09:01

When you push_back something into a vector, you make a copy.

This line: v1.AddBallotPaper(bp1); creates a copy of bp1 and appends it to a vector inside of v1.
Later, when you change bp1 by doing bp1.AddCandidate(c1);, the copy of it stored inside of v1 is not affected.

Source https://stackoverflow.com/questions/53129801

QUESTION

Fuzzy Wuzzy String Matching on 2 Large Data Sets Based on a Condition - python

Asked 2018-May-23 at 03:30

I have 2 large data sets that I have read into Pandas DataFrames (~ 20K rows and ~40K rows respectively). When I try merging these two DFs outright using pandas.merge on the address field, I get a paltry number of match compared to the number of rows. So I thought I would try to fuzzy string match to see if it improves the number of output matches.

I approached this by trying to create a new column in DF1 (20K rows) that was the result of applying the fuzzywuzzy extractone function on DF1[addressline] to DF2[addressline]. I shortly realized that this would take forever since it will be doing close to 1 billion comparisons.

Both of these datasets have "County" fields and my ask is this: is there a way to conditionally do a fuzzy string match on the "addressline" fields in both DFs based on the "county" fields being the same? Researching questions similar to mine I stumbled upon this discussion: Fuzzy logic on big datasets using Python

However I am still fuzzy (no pun intended) on how to go about grouping/blocking fields based on county. Any advice would be greatly appreciated!

...

ANSWER

Answered 2018-May-23 at 03:30

You could adapt your fuzzy_match function to take the id as a variable and use this to subset your choices before doing the fuzzy search (note that this requires applying the function over the whole dataframe rather than just the address column)

Source https://stackoverflow.com/questions/42847396

QUESTION

Multiprocessing group apply python

Asked 2017-Jun-23 at 09:24

I have two groups, one with the rows to be processed as groups, another with groups to be looked upon.

...

ANSWER

Answered 2017-Jun-23 at 09:24

I provide an alternative solution to using dask here,

Source https://stackoverflow.com/questions/44696790

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

Vulnerabilities

No vulnerabilities reported

Install Kookie

You can download it 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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