numpp | Research library for compile time optimization | Machine Learning library

by szymonmaszke C++ Version: Current License: MIT

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kandi X-RAY | numpp Summary

numpp is a C++ library typically used in Artificial Intelligence, Machine Learning applications. numpp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Research library for compile time optimization

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Security

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numpp has a low active ecosystem.

It has 13 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

numpp has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of numpp is current.

Quality

numpp has no bugs reported.

Security

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

License

numpp 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

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

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

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numpp Key Features

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numpp Examples and Code Snippets

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Community Discussions

Trending Discussions on numpp

The function 'draw_label' should be called on each calculation for consistency

QUESTION

The function 'draw_label' should be called on each calculation for consistency

Asked 2021-Apr-16 at 13:41

I'm struggling to fix the following warnings. How can I fix them?

line 158: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 161: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 164: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 167: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 170: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 173: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 176: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 179: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 182: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope. line 185: The function 'draw_label' should be called on each calculation for consistency. It is recommended to extract the call from this scope.

...

ANSWER

Answered 2021-Apr-16 at 13:41

You can avoid warnings if you will extract time builtin variables to global scope. This builtin should be used on every bar for consistency, and function which uses this builtin in conditional expressions, by default is marked as a function with unpredictable behavior, with throwing warning.

You need smth like this:

Source https://stackoverflow.com/questions/67125954

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

Vulnerabilities

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Install numpp

You can download it from GitHub.

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