[pre-commit.ci] pre-commit autoupdate (#213)

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.15.5 → v0.15.15](astral-sh/ruff-pre-commit@v0.15.5...v0.15.15)
- [github.com/psf/black-pre-commit-mirror: 26.3.0 → 26.5.1](psf/black-pre-commit-mirror@26.3.0...26.5.1)

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fix: migrate AssimilatorEncoder to H3 v4 API (#218)

- Replace 6 deprecated h3 v3 calls with v4 equivalents
- Fix np.random.random(1) -> np.random.random() for numpy 2.x
- Matches existing pattern in encoder.py and assimilator_decoder.py

Add GenDA diffusion model with sensor conditioning (#216)

* Add GenDA model with conditioning support

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Fix GenDA Ruff docstring issues

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* Add irregular graph validation test for GenDA

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[pre-commit.ci] pre-commit autoupdate (#201)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.14.10 → v0.15.5](astral-sh/ruff-pre-commit@v0.14.10...v0.15.5)
- [github.com/psf/black-pre-commit-mirror: 25.12.0 → 26.3.0](psf/black-pre-commit-mirror@25.12.0...26.3.0)

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fix conflicting versions (#198)

Fix incorrect reuse of input solar features (#200)

feat: NVIDIA-style Hierarchical Gradient Checkpointing (#193)

* Added gradient checkpointing

* docstrings matched , pytest modifications , benchamrk merged

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* move graphcast to models/graphcast/model.py

* Remove redundant checkpoint flags test

Removed unused test for checkpoint flags.

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Co-authored-by: Jacob Prince-Bieker <jacob@bieker.tech>

[pre-commit.ci] pre-commit autoupdate (#169)

updates:
- [github.com/pre-commit/pre-commit-hooks: v5.0.0 → v6.0.0](pre-commit/pre-commit-hooks@v5.0.0...v6.0.0)
- [github.com/astral-sh/ruff-pre-commit: v0.12.7 → v0.14.10](astral-sh/ruff-pre-commit@v0.12.7...v0.14.10)
- https://github.com/psf/black → https://github.com/psf/black-pre-commit-mirror
- [github.com/psf/black-pre-commit-mirror: 25.1.0 → 25.12.0](psf/black-pre-commit-mirror@25.1.0...25.12.0)

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feat: Add Stochastic Decomposition Layer and Fix Dependencies (#188)

* feat: Add Stochastic Decomposition Layer and Fix Dependencies

* refactor: Move test_stochastic_decomposition.py per review

Optimization: Efficient Sequential Batching (Solves #47, Supersedes #186

) (#187)

* feat: Add efficient batching to reduce memory usage

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* feat: Add efficient batching to reduce memory usage

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* Dependencies resolved , unncessaru docs removed , moved to pytest , benchmark is under scripts

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* feat: Add efficient batching to reduce memory usage

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* revert to nnja_ai import

* fix: Revert nnja_ai import in data module

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