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Tags: apache/iceberg-python

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pyiceberg-0.10.0

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Set the ManifestEntryStatus (#2408)

A faulty refactor:


59742e0#diff-e9df836e263024ba54e2706853fb25c00269fbfe3726b440ba57f4a929c995dcR927

This produces incorrect metadata, but was hidden by the writer.

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Co-authored-by: Kevin Liu <kevinjqliu@users.noreply.github.com>

pyiceberg-0.10.0rc3

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PyIceberg 0.10.0rc3

pyiceberg-0.10.0rc2

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PyIceberg 0.10.0rc2

pyiceberg-0.10.0rc1

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PyIceberg 0.10.0rc1

pyiceberg-0.9.1

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Bump to 0.9.1 (#1950)

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pyiceberg-0.9.1rc1

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PyIceberg 0.9.1rc1

pyiceberg-0.9.0

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fix loading `in-memory` catalog (#1725)

Previously `CatalogType` was fetched by key,
`CatalogType[provided_catalog_type.upper()]` (note the bracket)
This PR changes `CatalogType` to be fetched by value,
`CatalogType(provided_catalog_type.lower())` (note the parenthesis)


https://stackoverflow.com/questions/29799235/python-enum-value2member-map-accessor

This fix loading `in-memory` catalog, `load_catalog("catalog",
**{"type": "in-memory"})`.
Previously, `"in-memory"` caused a key error because its key is
`IN_MEMORY`. Note the `-` vs `_`.


https://github.com/apache/iceberg-python/blob/1d24e71041e35e26e126aa4508ed7384e8aa031c/pyiceberg/catalog/__init__.py#L113-L119


We want `in-memory` and not `in_memory` to match spark

https://github.com/apache/iceberg-python/blob/1d24e71041e35e26e126aa4508ed7384e8aa031c/dev/spark-defaults.conf#L35

pyiceberg-0.9.0rc3

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PyIceberg 0.9.0rc3

pyiceberg-0.9.0rc2

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PyIceberg 0.9.0rc2

pyiceberg-0.9.0rc1

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PyIceberg 0.9.0rc1

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