#787 - Move encoder implementation details to external shim library (not dependent on the Spark 4 release)#800
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chris-twiner wants to merge 74 commits intotypelevel:masterfrom chris-twiner:temp/787_shim
+7,813-4,582
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typelevel#787 - [Un]WrapOption, Invoke, NewInstance, GetStructField, ifisnull, GetColumnByOrdinal, MapObjects and TypedExpressionEncoder shimmed
committedtypelevel#787 - [Un]WrapOption, Invoke, NewInstance, GetStructField, ifisnull, GetColumnByOrdinal, MapObjects and TypedExpressionEncoder shimmed - attempt build
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typelevel#787 - reduce the case class api usage even further and CreateStruct, and allow shims for the deprecated functions
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Commits on Mar 8, 2024
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typelevel#787 - ml internals removal - all public - typelevel#300 - use rc1, so1 not a default repo it seems
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typelevel#804 - encoding for Set derivatives as well - test build, hashtrieset no longer there on 2.13
committedtypelevel#804 - encoding for Set derivatives as well - test build, hashtrieset no longer there on 2.13
committedtypelevel#804 - encoding for Set derivatives as well - test build, 2.13 forced changes, compilation issue with toSeq():GenSeq
committedtypelevel#804 - encoding for Set derivatives as well - test build, 2.13 forced changes, compilation issue with toSeq():GenSeq
committedtypelevel#804 - encoding for Set derivatives as well - test build, 2.13 forced changes, compilation issue with toSeq():GenSeq
committedtypelevel#804 - encoding for Set derivatives as well - test build, 2.13 forced changes, compilation issue with toSeq():GenSeq
committedtypelevel#804 - encoding for Set derivatives as well - test build, 2.13 forced changes, compilation issue with toSeq():GenSeq
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Commits on Mar 21, 2024
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Commits on Apr 10, 2024
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typelevel#787 - tests have ordering and precision issues when run on clusters - inifinity protection
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Commits on Apr 12, 2024
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typelevel#787 - ensure last/first are run on a single partition - 15.0 databricks doesn't process them on ordered dataset
committedtypelevel#787 - ensure last/first are run on a single partition - 15.0 databricks doesn't process them on ordered dataset
committedtypelevel#787 - ensure last/first are run on a single partition - 15.0 databricks doesn't process them on ordered dataset
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