Itr

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- Fix construction of s3 categories dictionary, and adjust unit test vectors to align with more accurate emissions allocations.
- Fix linting errors reported by `flake8` and `mypy`.
- Env vars ITR_SCHEMA and/or ITR_PREFIX can override code defaults (demo_dv, itr_) to prevent collisions between users and CI/CD
- Implement support for CH4 emissions disclosures (i.e., fugitive S1 emissions)
- Use concurrent Data Vault operations to optimize queries when possible
- Support automobile and other production equivalences (e.g., veh=150k kpm), with new sample data file `20231031 ITR V2 Sample Data.xlsx`
- Add `ITR/test/inputs/20230106 ITR V2 Sample Data.xlsx` for automobiles
- Sample Data fixes
- Various bug fixes and dependency version updates

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- Update __hash__ functions used by uncertainties
- Quiet vault warnings due to Pint 1897
- Optimize validation of Data Vault initialization for ITR
- Update `ITR_DV.py` to demonstrate connections to Data Mesh for ITR
- Created unit tests `test_vault_providers` for Data Vault
- Update Data Vault to Pydantic 2.x, other related
- Rewrite list-map-zip for mypy
- Migrate flake8 to use pyproject.toml configurationx
- Sample Data fixes
- Various bug fixes and dependency version updates

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- Refactor code to resolve mypy errors
- Bump sphinx-autoapi from 2.0.1 to 3.0.0
- Various bug fixes and dependency version updates

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- Prune examples and ITR-examples
- Create dependabot.yml
- reorder imports to ensure primacy of our Quantity (feeding pint.Quantity, not the other way around)
- Add tomllint.sh script
- Update git submodule for ITR-examples
- Update docs to reflect ITR/ITR-examples packaging
- Workaround for Pandas 55824
- Various bug fixes and dependency version updates

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- Yanked

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- Automate backfilling of data to BASE_YEAR so that more companies can be analyzed
- Various bug fixes and dependency version updates