npstreams | Streaming operations on NumPy arrays | Machine Learning library

by LaurentRDC Python Version: 1.6.6 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | npstreams Summary

npstreams is a Python library typically used in Artificial Intelligence, Machine Learning, OpenCV, Numpy applications. npstreams has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install npstreams' or download it from GitHub, PyPI.

npstreams is an open-source Python package for streaming NumPy array operations. The goal is to provide tested routines that operate on streams (or generators) of arrays instead of dense arrays. Streaming reduction operations (sums, averages, etc.) can be implemented in constant memory, which in turns allows for easy parallelization. This approach has been a huge boon when working with lots of images; the images are read one-by-one from disk and combined/processed in a streaming fashion. This package is developed in conjunction with other software projects in the Siwick research group.

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Support

npstreams has a low active ecosystem.

It has 27 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of npstreams is 1.6.6

Quality

npstreams has 0 bugs and 0 code smells.

Security

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

npstreams code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

npstreams 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

npstreams releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

npstreams saves you 1022 person hours of effort in developing the same functionality from scratch.

It has 1783 lines of code, 206 functions and 29 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed npstreams and discovered the below as its top functions. This is intended to give you an instant insight into npstreams implemented functionality, and help decide if they suit your requirements.

Compute the sum of multiple arrays
Yield accumulator from an existing array
Return the last element of a stream
Return the next item in an iterable
Apply a ufunc to each array
Apply a ufunc to a list of arrays
Applies a ufunc along an axis
Reduce a sequence of arrays along an axis
Benchmark function
Benchmark a function
Execute a timeit statement
Check if ufunc is a binary ufunc
Generator of function comparable to npstreams
Yield comparable ufunc tuples
Mark a function as deprecated
Context manager for context warnings
Implementation of immin
Maximum of arrays along an axis

Get all kandi verified functions for this library.

npstreams Key Features

No Key Features are available at this moment for npstreams.

npstreams Examples and Code Snippets

No Code Snippets are available at this moment for npstreams.

Community Discussions

Trending Discussions on npstreams

pyaudio save multiple .WAV file with nonblocking

QUESTION

pyaudio save multiple .WAV file with nonblocking

Asked 2020-Oct-08 at 14:43

Updates: Now I found out that we can paste some code in the callback function and ended up more questions:

When will be call and stop the callback functions? when we open and close the stream?
The callback function can return the stream data(audio_data from the code). As we did not call the function, the pyaudio do it internally I believe. How do I get the return stream data from callback?

...

ANSWER

Answered 2020-Oct-08 at 14:43

As I learn more in coding, I found the answers.

A1: The callback function run and stop with the stream.

Source https://stackoverflow.com/questions/63381924

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

Vulnerabilities

No vulnerabilities reported

Install npstreams

The only requirement is NumPy. To have access to CUDA-enabled routines, PyCUDA must also be installed. npstreams is available on PyPI; it can be installed with pip.:.