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Commits on Sep 26, 2024

• [auto] Release 0.16.2-alpha.3

  

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Commits on Sep 25, 2024

• Add a bunch of metrics to use in the IRS codebase

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Commits on Sep 24, 2024

• Add serializer for Spark dataframes

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• Add serializers for common Python types

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Commits on Sep 19, 2024

• Add support for addition and subtraction of budgets

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• Don't require specifying optional parameters

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Commits on Sep 18, 2024

• Add budget division

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Commits on Sep 17, 2024

• Removing code duplication across Session and NoPrivacySession

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Commits on Sep 11, 2024

• Add storage interface for use with workspaces

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• Allow optional program outputs

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Commits on Sep 9, 2024

• Update noxfile dependency matrix Core versions

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• Replace all remaining uses of @params with @parametrize

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Commits on Sep 6, 2024

• Allow "abstract" programs and tuners

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Commits on Sep 5, 2024

• Upgrade to typeguard 4

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Commits on Sep 4, 2024

• [auto] Post-release 0.16.1

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• [auto] Release 0.16.1

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• Add blank line

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Commits on Sep 3, 2024

• Add release notes for bugfix release

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Commits on Aug 29, 2024

• Fix the NoPrivacySession views bug

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Commits on Aug 27, 2024

• [auto] Post-release 0.16.0

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• [auto] Release 0.16.0

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• Update Analytics docs to account for PySpark changes

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Commits on Aug 21, 2024

• Add release notes, and fix bad changelog merge

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• Make metric output inference consistent

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• Add tests for metric input types, plus additional typechecking

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• Add links to tutorials in the API reference

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Commits on Aug 20, 2024

• Remove self from last test

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Commits on Aug 19, 2024

• ErrorReport.show() groups tables by grouping column

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• Disallow self parameter in metric, view, and baseline functions

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Commits on Aug 16, 2024

• Fixes to flat-map-by-ID testing

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Commits on Aug 15, 2024

• Add flat_map_by_id transformation

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Commits on Aug 14, 2024

• Improve input dataframe column type coercion performance

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• Remove spark function that doesn't exist on old versions

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• Allows partition_and_create when a MaxRowsPerID constraint is present

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Commits on Aug 13, 2024

• Re-name result_dataframes() -> dataframes()

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