Metadata-Version: 2.1
Name: timed_sparse_matrix
Version: 0.1.2
Summary: Loading and saving timed sparse tensors.
Author-email: Anton R Sobinov <an.sobinov@gmail.com>
Project-URL: Homepage, https://github.com/nishbo/timed_sparse_matrix
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: Microsoft :: Windows
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy

# 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](https://github.com/nishbo/timed_sparse_matrix).


### Prerequisites

Software:
- [Python 3.7+/Anaconda](https://www.anaconda.com/products/individual)
- Module dependencies are listed in the [toml](pyproject.toml) file.


### Installation

You can now install from PyPi:

```
py -m pip install timed_sparse_matrix
```

### Install from source

1. Download the [repository](https://github.com/nishbo/timed_sparse_matrix) or clone it using git: `git clone https://github.com/nishbo/timed_sparse_matrix.git`.
2. Open Terminal, Command Line, or the desired Anaconda environment in the project Python folder.
3. Run `py -m pip install .`.

## Examples

TODO. See the `if __name__ == '__main__':` part of timed_sparse_matrix.py.


## Authors

- [**Anton Sobinov**](https://github.com/nishbo)
