HFO | Half Field Offense in Robocup 2D Soccer | Reverse Engineering library

by LARG C++ Version: v0.1 License: MIT

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

kandi X-RAY | HFO Summary

HFO is a C++ library typically used in Utilities, Reverse Engineering, Tensorflow applications. HFO has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

RoboCup 2D Half Field Offense.

Support

Quality

Security

License

Reuse

Support

HFO has a low active ecosystem.

It has 215 star(s) with 92 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 41 open issues and 39 have been closed. On average issues are closed in 65 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HFO is v0.1

Quality

HFO has 0 bugs and 0 code smells.

Security

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

HFO code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

HFO 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

HFO releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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HFO Key Features

No Key Features are available at this moment for HFO.

HFO Examples and Code Snippets

No Code Snippets are available at this moment for HFO.

Community Discussions

Trending Discussions on HFO

Improving efficiency of dict initialization

Computing rate of occurrences per unit of time in a pandas dataframe

QUESTION

Improving efficiency of dict initialization

Asked 2021-Jul-16 at 19:34

I'm initializing all values of a python dict to 0 in the following code:

...

ANSWER

Answered 2021-Jul-16 at 18:39

Use a defaultdict, this will only set the value to 0 when you actually want to use it for the first time:

Source https://stackoverflow.com/questions/68413843

QUESTION

Computing rate of occurrences per unit of time in a pandas dataframe

Asked 2021-Feb-10 at 20:20

I am seeking to compute the rate of an event occurrence in a dataframe.

I have a dataframe in pandas that tracks the onset and duration of a certain event. So initially it will look something along the lines:

...

ANSWER

Answered 2021-Feb-10 at 20:08

Groupby channels, count occurrence and divide by mean of end time. Because occurrences per group are more less the group size, there is no harm localizing the occurrence to end_time in this case because there isn't much variation.

Source https://stackoverflow.com/questions/66143839

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

Vulnerabilities

No vulnerabilities reported

Install HFO

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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