v1.0.110

Anemoi dataset integration (#151)

* Added the basic wrapper for anemoi and tested using test.py file

* feat: Complete working Anemoi dataset integration

- Implement AnemoiDataset class following graph_weather patterns
- Add mock data generation for testing without real datasets
- Include proper normalization and time feature embedding
- Add comprehensive test suite with all tests passing
- Ready for integration with graph_weather training pipeline

* feat: Add production-ready Anemoi datasets integration with optional mock data

- Implement AnemoiDataset class for loading Anemoi weather datasets
- Add allow_mock_data parameter for controlled testing (default: False)
- Include proper data normalization and time feature generation
- Support time range filtering and feature selection
- Add comprehensive test suite with production/development mode testing
- Follow graph_weather dataloader patterns for seamless integration
- Compatible with PyTorch DataLoader for training pipeline

* Removed test.py from /data

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* Removed mock test generation logic and removed unnecessary print statements from dataloader and test file

* Removed mock data functionality and print statements from dataloader as well as test file

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* Save work before rebase

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v1.0.109

Update dependencies on PyTorch geometric (#152)

* Update dependencies on PyTorch geometric

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* Fix workflow

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* Update pixi version

* Add python 3.13

* Update tests and deps

* Update environment

* Update requirement installing

* Add dacite

* Change to python 3.13

* Update h3-py

* Change to PyPi for H3

* Set to 3.7.0

* Set to 3.7.7

* Set ==

* Reduce to 3.12

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v1.0.108

Add stub data, healpy

v1.0.107

 WeatherStationReader Processing & Add Comprehensive Tests (#141)

* station reader and it's tests

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* QC defaults added, removed test dataset and create empty function and refactored test function

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* Prehooks formatting, SynopticPy conditional import and handling of unexpected response format

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* Ruff prehooks fixes for weather_station_reader.py

* Ruff prehooks fixes for weather_station_reader.py

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* Test_read_weatherreal_file assert fix and ruff checks

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* ruff checks

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* Update graph_weather/data/weather_station_reader.py

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v1.0.106

Rename and remove unused argument

v1.0.105

Aurora model implementation (#136)

* aurora model implementation

* Temp commit for switching branches

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* a new implementation of Aurora (3d+Unstructured)

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* checkpointing configuration with smaller nums

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* EINOPS and processor configuration added

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* EINOPS implementation in encoder and processor for clear reshaping

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* checkpointing

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v1.0.104

Implementation of other NNJA sensors (#134)

* nnjai support

* ruff format

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* changes as per requested

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* test_nnjai.py

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* NNJAI with different tensors

* Refactor: Updated naming for consistency and clarity

* Refactor: data/__init__.py

* pytest fixture implementation

* nnjai_wrapp removal

* removal nnjai_wrapp.pr

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v1.0.103

Generating physically-consistent high-resolution climate data with ha…

v1.0.102

Add Initial WeatherMesh-2 Implementation (#138)

* Push updates

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* Add test for irregular grid

* Add working encoder

Lots of inspiration and code from this: https://github.com/Brayden-Zhang/WeatherMesh with some changes to work with natten and some other changes.

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* Add configurable decoder and WeatherMesh2 model

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* Add dacite configs

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* Fix keeping the correct depth (vertical pressure level)

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* Add new updates and change to pixi install

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v1.0.101

Fix formatting error