Boost.NumPy | Boost.Python interface for NumPy ; now deprecated in factor | SDK library

by ndarray C++ Version: Current License: BSL-1.0

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

kandi X-RAY | Boost.NumPy Summary

Boost.NumPy is a C++ library typically used in Utilities, SDK, Numpy applications. Boost.NumPy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

THIS PACKAGE IS NOW DEPRECATED IN FAVOR OF NUMPY SUPPORT INCLUDED DIRECTLY IN BOOST.PYTHON. NumPy support is scheduled to be included in Boost release 1.63, and is already available on the Boost.Python master branch (The interface is the same as Boost.Numpy, but in a different namespace. There are currently no plans for further development on this independent package.

Support

Quality

Security

License

Reuse

Support

Boost.NumPy has a low active ecosystem.

It has 148 star(s) with 72 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 48 have been closed. On average issues are closed in 155 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Boost.NumPy is current.

Quality

Boost.NumPy has 0 bugs and 0 code smells.

Security

Boost.NumPy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Boost.NumPy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Boost.NumPy is licensed under the BSL-1.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions, examples and code snippets are available.

It has 562 lines of code, 21 functions and 12 files.

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

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Boost.NumPy Key Features

No Key Features are available at this moment for Boost.NumPy.

Boost.NumPy Examples and Code Snippets

No Code Snippets are available at this moment for Boost.NumPy.

Community Discussions

Trending Discussions on Boost.NumPy

Subtract max from elements of Boost C++ array

C++ Boost Python numpy array initialization

QUESTION

Subtract max from elements of Boost C++ array

Asked 2017-Mar-08 at 23:50

I have a Boost.Numpy array foo of length x, e.g. foo = [-0.7, -0.9, -0.6]. I would like to subtract the max value from each element, resulting in foo = [-0.1, -0.3, 0.0]. Trying boost::range::max_element(foo) I get error: no matching function for call to 'max_element'. So I've done the following hack to get the max value,

...

ANSWER

Answered 2017-Mar-08 at 23:50

Per comments from @Dan Mašek:

Source https://stackoverflow.com/questions/42637862

QUESTION

C++ Boost Python numpy array initialization

Asked 2017-Mar-07 at 02:52

In Python I can initialize an x-length numpy array of negative inf with

...

ANSWER

Answered 2017-Mar-07 at 02:52

Here's a solution (thank you to @DanMašek for the initial idea) and how to validate by printing to the console:

Source https://stackoverflow.com/questions/42616020

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

Vulnerabilities

No vulnerabilities reported

Install Boost.NumPy

We have provided two build systems: SCons and CMake build system. We reconmmend using CMake for all new users, and for anyone using Python 3 (SCons itself does not support Python 3, and our SCons build is restricted to building against the version of Python that executes SCons. Please see libs/numpy/doc/cmakeBuild.rst for more information on building with CMake. Building with SCons should be as simple as running scons and scons install, but you may need to use the --with-boost* options (see scons --help) to specify where to find Boost. The Python that is used by SCons will be the one built against. Additionally, the SConsChecks submodule must be initialized by git before building by running.

Support

NumPy support is scheduled to be included in Boost release 1.63, and is already available on the Boost.Python master branch (https://github.com/boostorg/python/tree/master). The interface is the same as Boost.Numpy, but in a different namespace. There are currently no plans for further development on this independent package. Boost.NumPy is an extension for Boost.Python < v1.63 that adds NumPy support.

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