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0.4.0
# Version 0.4.0 Sifted through the project to clean up some items that have gotten away from me. Removed/retired some older code and tests, strict adherence to code quality steps, and updated dependencies. # Patch Notes ## Improvements - Code Cleanup and re-implementation of stricter code standards (!131, !132, !133) - Started addressing some earlier poor practice with testing fixtures (!134) ## Changes - Updated some long overdue dependencies - pandas (1.5.1 -> 2.2.2, !131) - numpy (1.23.4 -> 126.4, !136) - geopandas (0.12.0 -> 0.14.3, !131) - pyarrow (8.0 -> 15.0.2, !131) - scipy (1.9.3 -> 1.13.0, !136) - frictionless (5.15.10 -> 5.16.1, !136) - scikit-learn (1.1.2 -> 1.4.2, !136) - plotly (!5.13.1 -> 5.20.0, !136) - Updated some dev dependencies: - flake8 (7.0.0 -> 8.0.0, !135) - pylint (2.17.3 -> 3.1.0, !135) - vulture (2.7 -> 2.11, !135) - ipykernel (6.28.0 -> 6.29.4, !135)
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0.3.6
- New Features - Total rework of the HTML generation (!125)
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0.3.5
- New Features - Can now include references to Ontologies and Terms in the TiB Terminilogy Service from a Schema file, which will then be incporated when validating data files matching that schema. (!110) - Added a new script `run_check.py` for calling quality or validation checks independently. (!120) - Improvements - Improved background object generation (!114) - Better collapsing of test cases when many with identical text are generated (!115) - Improved organization of the CI/CD scripts (!116) - Made it easier to create Datafile objects from local files (!117) - Made it easier to add new Quality Checks regardless of data type (!118) - Added in better automatic checking of S3 sources (!119) - Fixes - Added missing dependency for allowing Frictionless to interrogate locally available parquet files (!112) - Fixed a case where we incorrectly validated an empty schema file (!110) - Fixed case where validation status could be missing in the dictionary output of the schema object (!121)
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0.3.2
Usage: - Updated layout of `settings.toml` to allow file by file settings. Improvements: - Added support for csv files with different delimiters - Data field descriptions will now correctly calculate, even if the source data contains incorrect data points. - Added additional descriptive fields for geodata. Bugfixes: - Fixed missing error when S3 credentials were provided, but the user did not include a bucket name. - Fixed error that could occur when trying to assign schema files that did not yet exist on disk. - Fixed incorrect calculation of geodata centroid points. - Fixed various serialization errors related to writing summary data to JSON. - Fixed display issue related to Categorical values when the categories were numerical. - Fixed broken links to data file pages - Fixed broken image links on nav bar
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