Metadata-Version: 2.4
Name: stack_to_chunk
Version: 2.0
Summary: Convert stacks of images to OME-Zarr
Author-email: HiP-CT Project <d.stansby@ucl.ac.uk>
License: Copyright (c) 2023, HiP-CT Project
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are met:
        
        - Redistributions of source code must retain the above copyright notice, this
          list of conditions and the following disclaimer.
        
        - Redistributions in binary form must reproduce the above copyright notice,
          this list of conditions and the following disclaimer in the documentation
          and/or other materials provided with the distribution.
        
        - Neither the name of stack-to-chunk nor the names of its
          contributors may be used to endorse or promote products derived from
          this software without specific prior written permission.
        
        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
        AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
        IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
        DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
        FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
        DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
        SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
        CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
        OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
        
Project-URL: homepage, https://github.com/HiPCTProject/stack-to-chunk
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.11
Classifier: Typing :: Typed
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE.md
Requires-Dist: dask==2025.12.0
Requires-Dist: joblib==1.5.3
Requires-Dist: loguru==0.7.3
Requires-Dist: numpy==2.4.0
Requires-Dist: ome-zarr-models==1.3
Requires-Dist: pydantic-zarr==0.9.1
Requires-Dist: scikit-image==0.26.0
Requires-Dist: zarr==3.1.1
Requires-Dist: numcodecs==0.15.1
Requires-Dist: tensorstore==0.1.80
Provides-Extra: dev
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: tox>=4; extra == "dev"
Provides-Extra: docs
Requires-Dist: dask-image; extra == "docs"
Requires-Dist: matplotlib; extra == "docs"
Requires-Dist: pydata-sphinx-theme; extra == "docs"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-autoapi; extra == "docs"
Requires-Dist: sphinx-gallery; extra == "docs"
Requires-Dist: tifffile; extra == "docs"
Dynamic: license-file

# stack-to-chunk

[![Tests status][tests-badge]][tests-link]
[![codecov](https://codecov.io/gh/HiPCTProject/stack-to-chunk/graph/badge.svg?token=GBOWQFNYMP)](https://codecov.io/gh/HiPCTProject/stack-to-chunk)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/HiPCTProject/stack-to-chunk/main.svg)](https://results.pre-commit.ci/latest/github/HiPCTProject/stack-to-chunk/main)
[![Documentation Status](https://readthedocs.org/projects/stack-to-chunk/badge/?version=latest)](https://stack-to-chunk.readthedocs.io/en/latest/?badge=latest)

[![Licence][licence-badge]](./LICENCE.md)

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## Contributing

This code is designed and specialised to work with data from the [HiP-CT project](https://mecheng.ucl.ac.uk/hip-ct/), but openly available in the hope it might be useful for other people or groups.
Bug reports and fixes are very welcome - please open at least an issue and then optionally a pull request to fix the issue.

New functionality might be welcome, depending on whether it is in scope of the package and how much maintenance burden it would add.
For new features please open an issue to discuss first before developing anything to avoid wasted effort!
