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Project description
ngff-zarr
A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.
Table of Contents
Installation
pip install 'ngff-zarr[dask-image]'
Features
- Minimal dependencies
- Work with arbitrary Zarr store types
- Lazy, parallel, and web ready -- no local filesystem required
- Process extremely large datasets
- Multiple downscaling methods
- Supports Python>=3.7
See also
License
ngff-zarr is distributed under the terms of the MIT license.
Development
Contributions are welcome and appreciated.
To run the unit tests:
pip install -e ".[test,dask-image]"
pytest
Updating test data
- Generate new test data tarball
cd test
tar cvf ../data.tar baseline input
gzip -9 ../data.tar
-
Upload the data to web3.storage
-
Upload the
test_data_ipfs_cid(from web3.storage web UI) andtest_data_sha256(sh256sum ../data.tar.gz) variables in test/_data.py.
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