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The reason is to avoid name conflicts. we've had issues in the past, for example, if an enum is named the same thing as a model, by tying it to _models (we also make it private so we're not exposing anything), we avoid naming conflicts.
Unfortunately, Sphinx cannot parse the model "_models.AIServicesVisionParameters" correctly.
In Sphinx generated code, it shows _models.SearchIndexerDataIdentity
and loses xref.
We need to find some other ways to solve the name conflicts.
The text was updated successfully, but these errors were encountered:
we add "_models." in our generated code.
e.g.
def init(
self,
*,
vectorizer_name: str,
ai_services_vision_parameters: Optional["_models.AIServicesVisionParameters"] = None,
**kwargs: Any
) -> None:
The reason is to avoid name conflicts. we've had issues in the past, for example, if an enum is named the same thing as a model, by tying it to _models (we also make it private so we're not exposing anything), we avoid naming conflicts.
Unfortunately, Sphinx cannot parse the model "_models.AIServicesVisionParameters" correctly.
In Sphinx generated code, it shows
_models.SearchIndexerDataIdentity
and loses xref.
We need to find some other ways to solve the name conflicts.
The text was updated successfully, but these errors were encountered: