Timed Sparse Matrices
Save timed sparse matrices and tensors to readable files from Python, MATLAB, and C++.
For detailed description, see https://github.com/nishbo/timed_sparse_matrix.
Getting Started
This project's code is available on GitHub.
Prerequisites
Software:
- Python 3.7+/Anaconda
- Module dependencies are listed in the toml file.
Installation
You can now install from PyPi:
py -m pip install timed_sparse_matrix
Install from source
- Download the repository or clone it using git:
git clone https://github.com/nishbo/timed_sparse_matrix.git. - Open Terminal, Command Line, or the desired Anaconda environment in the project Python folder.
- Run
py -m pip install ..
Examples
TODO. See the if __name__ == '__main__': part of timed_sparse_matrix.py.
Authors
1 maintainer
Metadata
1 maintainer
Release files for timed-sparse-matrix 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| timed_sparse_matrix-0.1.2.tar.gz | 52.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| timed_sparse_matrix-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 104.7 kB
Release files / timed_sparse_matrix-0.1.2.tar.gz
| Download URL | timed_sparse_matrix-0.1.2.tar.gz |
|---|---|
| Size | 52.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.5
|
Release files / timed_sparse_matrix-0.1.2-py3-none-any.whl
| Download URL | timed_sparse_matrix-0.1.2-py3-none-any.whl |
|---|---|
| Size | 51.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.5
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