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‎CONTRIBUTING.md‎

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# How to contribute
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We'd love to accept your patches and contributions to this project.
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## Before you begin
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### Sign our Contributor License Agreement
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Contributions to this project must be accompanied by a
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[Contributor License Agreement](https://cla.developers.google.com/about) (CLA).
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You (or your employer) retain the copyright to your contribution; this simply
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gives us permission to use and redistribute your contributions as part of the
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project.
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If you or your current employer have already signed the Google CLA (even if it
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Visit <https://cla.developers.google.com/> to see your current agreements or to
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### Review our community guidelines
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This project follows
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[Google's Open Source Community Guidelines](https://opensource.google/conduct/).
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## Contribution process
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### Code reviews
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All submissions, including submissions by project members, require review. We
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use GitHub pull requests for this purpose. Consult
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[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
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information on using pull requests.

‎LICENSE‎

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Apache License
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‎README.md‎

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# Xarray-TensorStore
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Xarray-TensorStore is a small library that allows opening Zarr arrays into
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Xarray via TensorStore, instead of the standard Zarr-Python library. In some
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cases, we've found it to be considerably faster.
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**Warning**: Xarray-TensorStore relies upon internal Xarray APIs that will
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likely change in
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[future versions of Xarray](https://github.com/pydata/xarray/issues/3981),
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precisely to accommodate these sorts of use-cases. Expect that the current
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version of Xarray-TensorStore will break at some point in the future and require
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updates for a new Xarray release.
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## Usage
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Open your Zarr files into an `xarray.Dataset` using `open_zarr()`, and then use
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`read()` to start reading data in the background:
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```python
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import xarray_tensorstore
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ds = xarray_tensorstore.open_zarr(path)
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# As with xarray.open_zarr(), indexing & transposing is lazy
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example = ds.sel(time='2020-01-01').transpose('longitude', 'latitude', ...)
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# Optional: start reading data in all arrays asynchronously
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read_example = xarray_tensorstore.read(example)
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# Blocking conversion of the data into NumPy arrays. This happens sequentially,
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# one array at a time, unless you call read() first.
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numpy_example = read_example.compute()
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```
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## Limitations
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- Xarray-TensorStore still uses Zarr-Python under the covers to open Zarr
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groups and read coordinate data (TensorStore does not yet support Zarr
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groups).
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- Unlike `xarray.open_zarr`, decoding of data arrays according to CF Conventions
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(e.g., `scale` and `add_offset` attributes) is not supported.

‎conftest.py‎

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# Copyright 2023 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Configure FLAGS with default values for absltest."""
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from absl import app
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try:
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app.run(lambda argv: None)
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except SystemExit:
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pass

‎setup.py‎

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# Copyright 2023 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Setup Xarray-Tensorstore."""
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import setuptools
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setuptools.setup(
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name='xarray-tensorstore',
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version='0.1.0',
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license='Apache 2.0',
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author='Google LLC',
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author_email='noreply@google.com',
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install_requires=['numpy', 'xarray', 'zarr', 'tensorstore'],
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extras_require={
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'tests': ['absl-py', 'pandas'],
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},
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url='https://github.com/google/xarray-tensorstore',
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py_modules=['xarray_tensorstore'],
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python_requires='>=3.10',
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)

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