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Orchid uses internal, hidden identifiers to identify domain objects. In some situations with data frames, it is possible to have different data frames with identical object identifiers.
The Orchid team has identified a fix for this issue and a work around to be implemented. However, the issue occurs in the 2022.3 release.
We plan to raise a temporary Python warning in the 2022.3 release of the Orchid Python API describing the issue and its work arounds.
The text was updated successfully, but these errors were encountered:
During internal testing, we discovered an issue.
Orchid uses internal, hidden identifiers to identify domain objects. In some situations with data frames, it is possible to have different data frames with identical object identifiers.
The Orchid team has identified a fix for this issue and a work around to be implemented. However, the issue occurs in the 2022.3 release.
We plan to raise a temporary Python warning in the 2022.3 release of the Orchid Python API describing the issue and its work arounds.
The text was updated successfully, but these errors were encountered: