Doormat | Core library for DiceBot v4

by Seuntjie900 C# Version: Current License: MIT

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

kandi X-RAY | Doormat Summary

Doormat is a C# library. Doormat has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

this project contains the code i've written so far for the core library of what i envisioned to be dicebot v4. this project will contain only code relating to site apis and attempt to provide a standardized api for logging in and placing bets at different crypto casinos. it will contain no automated betting codes. the aim is to provide a springboard for people that want to develop their own bots by giving them access to several games at several sites in a standardized way. this will also eventually be a nuget package. i no longer have enough time to actively work on the project, so it's been standing still for a long

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Quality

Security

License

Reuse

Support

Doormat has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Doormat is current.

Quality

Doormat has 0 bugs and 0 code smells.

Security

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

Doormat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Doormat 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

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

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Doormat Key Features

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Doormat Examples and Code Snippets

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Community Discussions

Trending Discussions on Doormat

How to get the first second-level index from a multi-index data frame?

SQL MATCH ignoring the word WELCOME

QUESTION

How to get the first second-level index from a multi-index data frame?

Asked 2020-Dec-06 at 17:40

I'm using the Online Retail dataset from the UCI Machine Learning Repository in pandas, and I'm setting a multi-index consisting in CustomerID as first level, and InvoiceNo as second level. Here's the code:

...

ANSWER

Answered 2020-Dec-06 at 17:40

Feel like there's something a little shorter, but seems to work. Pull out the invoice numbers, groupby the customer ID, pick first invoice in each group:

Source https://stackoverflow.com/questions/65152588

QUESTION

SQL MATCH ignoring the word WELCOME

Asked 2020-Oct-23 at 12:01

I have a strange issue. I have a database with keywords assigned to the products for example...

Product 839126 has the keywords PREMIUM,COIR,RUBBER,WELCOME,DOOR,MATS,HOMEWARES,DOORMATS,FLOOR

The following SQL returns relevance as 0 if I choose the word Welcome any other keyword and relevance is 1

...

ANSWER

Answered 2020-Oct-23 at 12:01

A very important concept in using full text search is the concept of "stop words". These are words that are automatically ignored when the inverted index is created. You can investigate this concept in the documentation.

'WELCOME' is a common stop word. It is in the default stop word lists for both InnoDB and MyISAM.

You can recreate the index with either customized stop words or no stop words at all. Note that there are other considerations as well, such as characters that define word boundaries and minimum word length.

Source https://stackoverflow.com/questions/64499561

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

Vulnerabilities

No vulnerabilities reported

Install Doormat

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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