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0.2.1 (2024-07-15)
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- Various improvements to documentation and package metadata suggested by JOSS
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review (new example using PC archive and STAC catalogue, Contributing guidelines,
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- Exclude version 0.59 of numba in requirements due to known bug in pararrel accelerator.
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See https://github.com/numba/numba/issues/9490
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- 0.2.0
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+ 0.2.0 (2024-01-15)
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- np.linalg.inv replaced by the more recommanded np.linalg.solve in many places
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- Integration of numba parallel accelerator in most fitting functions (new argument
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objects (particularly useful to specify chunking and get a dask based object)
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- New example in gallery on parallel fitting
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- Add a minimum python version requirement (>=3.9). 3.8 not longer tested
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- 0.1.1
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- New set of functions to generate synthetic data (single time-series and DataArrays)
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added to the data module
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- Gallery section added to the documentation, with one example on use of synthetic data
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