51 lines
1.4 KiB
Markdown
51 lines
1.4 KiB
Markdown
# ss-downloader
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Install poetry & Python 3.8+
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```
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curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -
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```
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## how to use
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```
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source load-env.sh
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poetry run python list.py
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poetry run python download.py <dataset name>
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```
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To download all datasets
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```
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poetry run python download.py all
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```
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You can move the datasets due to relative symlinks. For example:
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```
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rsync -azvh $SCRATCH/ ~/cfm_m3918/pearson
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```
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## how to use (unsupported platform)
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set `SS_DIR` environment variable to the directory where you want the dataset folders to be generated.
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## What it does
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Downloads subsets of the suitesparse collection to different directories.
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For a given subset, the matrices are first downloaded to the `$SCRATCH/suitesparse` folder. If a required matrix already exists there, it is not redownloaded.
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Then, a relative symlink is created from the `$SCRATCH/<subset>/<matrix>.mtx` file to the corresponding `.mtx` file in `$SCRATCH/suitesparse`.
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This makes use of a [fork of the `ssgetpy`](github.com/cwpearson/ssgetpy) package with a faster download limit.
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ssgetpy does not discriminate "real" datatype from "integer" datatype, as shown on the suitesparse collection website.
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Therefore, `lists.py` maintains a manually-curated list of `integer` datatype matrices to facilitate discrimination.
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## how this was done
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```
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poetry-new init
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poetry add ssgetpy
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```
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```
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poetry install
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``` |