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When pydata-google-auth is used in contexts where the API is not enabled on the default GCP project that owns the client secrets or the default scopes do not include the desired product / operation, authorization errors are encountered.
It would be difficult to get pydata-google-auth verified for every combination of scopes, so a better long-term solution would be to encourage people to provide their own client secrets files. Imagine use cases such as notebook hosting services or an enterprise fleet which wants data scientists to use its approved version of pandas.
The text was updated successfully, but these errors were encountered:
When
pydata-google-auth
is used in contexts where the API is not enabled on the default GCP project that owns the client secrets or the default scopes do not include the desired product / operation, authorization errors are encountered.It would be difficult to get
pydata-google-auth
verified for every combination of scopes, so a better long-term solution would be to encourage people to provide their own client secrets files. Imagine use cases such as notebook hosting services or an enterprise fleet which wants data scientists to use its approved version of pandas.The text was updated successfully, but these errors were encountered: