Duga | Stack Exchange Chat bot using Grails | Chat library

by Zomis Groovy Version: Current License: No License

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

kandi X-RAY | Duga Summary

Duga is a Groovy library typically used in Messaging, Chat, Nodejs, MongoDB, Discord applications. Duga has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

[A bot named Duga] for chat rooms on the Stack Exchange network. Responsibilities include:.

Support

Quality

Security

License

Reuse

Support

Duga has a low active ecosystem.

It has 20 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 47 open issues and 92 have been closed. On average issues are closed in 546 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Duga is current.

Quality

Duga has 0 bugs and 0 code smells.

Security

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

Duga code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Duga does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions, examples and code snippets are available.

It has 1950 lines of code, 147 functions and 34 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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Duga Key Features

No Key Features are available at this moment for Duga.

Duga Examples and Code Snippets

No Code Snippets are available at this moment for Duga.

Community Discussions

Trending Discussions on Duga

How to split a string into entered length string array in VB.net

Fitting Keras Sequential Model gives ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray)

QUESTION

How to split a string into entered length string array in VB.net

Asked 2020-Dec-22 at 00:13

I have a string which is being entered by user, length depends on the length of entered string. In another field user needs to type a number of how many equal parts he wants to get out of that string.

For example:

...

ANSWER

Answered 2020-Dec-22 at 00:13

So, you probably simply want an equal number of chars per line. The last line can instead contain just the remainder.

You can iterate the number of lines specified (provided that the number can be parsed to an integer, so use Integer.TryParse() to validate the input), then divide the string length in chars by the number of lines and take that number of chars per iteration.

Something like this:

Source https://stackoverflow.com/questions/65400850

QUESTION

Fitting Keras Sequential Model gives ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type numpy.ndarray)

Asked 2020-Jul-05 at 18:52

I have the following array of lists (actors per movie):

...

ANSWER

Answered 2020-Jul-05 at 18:52

You are receiving this error as you are trying to convert the numpy.ndarry to Tensor. In short, your arrays are of different length and that is not accepted while converting it to Tensor.

What you have to do is make your x's of the same length and the y's of the same length.

There are several ways to achieve this. Based on the code you provided you can use something like below: The below code is pseudo-code and it just to demonstrate that you need arrays of equal length.

Source https://stackoverflow.com/questions/62729593

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

Vulnerabilities

No vulnerabilities reported

Install Duga

In order to run a StackExchange account as a bot, you need to follow the following steps:.
Go to https://openid.stackexchange.com.
Create an account.
Create a StackExchange account on https://stackexchange.com.
Make sure you can log in to it.
Create an account on a specific site, for example https://stackoverflow.com.
Earn 20 reputation, following the rules of the particular site.
Log in to https://chat.stackexchange.com.
Confirm that you can talk.
To build the project and run all tests:.

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 .

Find more information at: