scipp | Multi-dimensional data arrays with labeled dimensions | Machine Learning library

by scipp C++ Version: 24.2.0 License: BSD-3-Clause

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kandi X-RAY | scipp Summary

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

See for project context and how to use and install the scipp Python module. Bug reports or feature requests should be submitted by opening an issue. For general discussions, or questions about how to achieve something with Scipp, start a new discussion.

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Support

scipp has a low active ecosystem.

It has 83 star(s) with 13 fork(s). There are 12 watchers for this library.

There were 4 major release(s) in the last 6 months.

There are 60 open issues and 1015 have been closed. On average issues are closed in 24 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of scipp is 24.2.0

Quality

scipp has no bugs reported.

Security

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

License

scipp is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

scipp releases are available to install and integrate.

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scipp Key Features

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scipp Examples and Code Snippets

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Community Discussions

Trending Discussions on scipp

Problem with changing array indices with sympy and numpy

QUESTION

Problem with changing array indices with sympy and numpy

Asked 2019-Apr-22 at 04:14

I have a program that is supposed to output the rotation matrix for a rotation of an arbitrary angle about an arbitrary axis. I start with a blank, 3x3 numpy array. I go through each element of the array using nested loops and set the value according to this awesome method.

From sympy I use KroneckerDelta and LeviCivita, from numpy I use array.

In my code, I have included the troubleshooting methods I used. The program behaves exactly as I expect at each step except that it seems like it is just not adding the values to the components. Even more confusing, it works for theta=pi.

Can anyone spot my silly mistake?

...

ANSWER

Answered 2019-Apr-22 at 04:14

Not sure which edit made the difference but I did the following:

-Use numpy.zeros instead of hand-making an array of zeros

-Use a dummy variable "Temp" to temporarily hold the values that are to be added to the rotation matrix

Here is the final code:

Source https://stackoverflow.com/questions/55755230

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