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* add option for using new multiscales convention in optimized conversion
* remove OOP converter and use plain functions
* use pydantic models for fingerprinting sentinel2 product
* fix multiscales to use da.coarsen and propagate encoding
* ensure that dtype is preserved after resampling
* add new multiscales JSON example
* add mypy pydantic plugin
* lint
* add s1 and s2 demo data to tests, and don't test against remote urls
* fix e2e tests
* remove network test workflow from CI
* remove extra type definition and update tests
* remove explicit zarr groups in favor of dynamic test fixtures
* docstrings
* Enhance CRS initialization and update S2 optimization commands
- Added `initialize_crs_from_dataset` function to extract CRS from dataset metadata.
- Updated S2 optimization commands to include new CRS handling.
- Removed unused arguments related to geometry and meteorology groups.
- Added comprehensive tests for CRS initialization from various sources.
* Refactor code formatting for clarity in S2 optimization functions
* fix failing / warning tests
* add strict JSON schema equality check to e2e tests
* support both flavors of multiscale metadata
* dont manage return codes in cli functions
* add s2 optimized test
* add optimized geozarr exmaple hierarchies
* format JSON documents
* mid-debug of e2e tests
* WIP e2e fixes
* make cf standard name validator become a pass-through when no internet connection
* update example schemas
* narrow type to just tuples in types.py
* refactor consolidation
* use consolidated=False in conversion
* update tests
* lint
* add both multiscales types to output
* update comments in tests
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Co-authored-by: Emmanuel Mathot <[email protected]>
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