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ssgetpy's Introduction

SSGETPY: Search and download sparse matrices from the SuiteSparse Matrix Collection

Python package PyPI version Binder Open In Colab

ssgetpy is a little Python library and command-line program to search, filter and download matrices from the SuiteSparse Matrix Collection similar to the existing Java and MATLAB tools.

The index of matrices is created from the same CSV file used by the Java interface. However, the index in cached in a local SQLite database to make querying it more convenient.

Requirements and installation

ssgetpy works with Python 3.6 or above. Besides the standard library, it depends on requests and tqdm. Since ssgetpy doesn't actually parse matrix data, it doesn't require dependencies like NumPy or SciPy.

To install, simply run:

pip install ssgetpy

This will install the ssgetpy Python module as well as a ssgetpy command-line script.

From Python, run import ssgetpy and type help(ssgetpy) to get a detailed help message on how to use ssgetpy to search and download sparse matrices.

From the command-line, run ssgetpy or ssgetpy --help to see the list of options.

Examples

Make sure you first run from ssgetpy import search, fetch. Replace fetch with search to only return the corresponding Matrix objects without downloading them.

  • Download matrix with ID 42 in the MatrixMarket format: fetch(42)
  • Download matrices in the Harwell-Boeing collection with less than 1000 non-zeros: fetch(group = 'HB', nzbounds = (None, 1000))
  • Download only the first 5 problems arising from structural analysis: fetch(kind = "structural", limit = 5)
  • Download the problems in the previous example as MATLAB .MAT files: fetch(kind = "structural", format = "MAT", limit = 5)

For more examples, please see the accompanying Jupyter notebook.

License

ssgetpy is licensed under the MIT/X11 license:

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.

ssgetpy's People

Contributors

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