| Name | numpy-rms JSON |
| Version |
0.4.2
JSON |
| download |
| home_page | None |
| Summary | A fast python library for calculating the RMS of a NumPy array |
| upload_time | 2024-07-13 21:05:23 |
| maintainer | None |
| docs_url | None |
| author | Iver Jordal |
| requires_python | None |
| license | MIT License Copyright (c) 2024 Nomono Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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No Travis.
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| coveralls test coverage |
No coveralls.
|
# numpy-rms: a fast function for calculating a series of Root Mean Square (RMS) values
* Written in C and takes advantage of AVX (on x86-64) or NEON (on ARM) for speed
* The fast implementation is tailored for C-contiguous 1-dimensional and 2-dimensional float32 arrays
# Installation
[](https://pypi.org/project/numpy-rms/)
```
$ pip install numpy-rms
```
# Usage
```py
import numpy_rms
import numpy as np
arr = np.arange(40, dtype=np.float32)
rms_series = numpy_rms.rms(arr, window_size=10)
print(rms_series.shape) # (4,)
```
# Changelog
## [0.4.2] - 2024-07-13
### Changed
* Optimize the processing of multichannel arrays
For the complete changelog, go to [CHANGELOG.md](CHANGELOG.md)
# Development
* Install dev/build/test dependencies as denoted in pyproject.toml
* `CC=clang pip install -e .`
* `pytest`
# Acknowledgements
This library is maintained/backed by [Nomono](https://nomono.co/), a Norwegian audio AI startup.
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