fixup! Parquet to BigQuery import for GCP-backed AnVIL snapshots (#6355)

src/azul/plugins/repository/tdr_anvil/__init__.py

@@ -747,7 +747,7 @@ def _columns(self, entity_type: EntityType) -> set[str]:
 
     def import_tables(self, source: TDRSourceRef):
         """
-        Import tables for an AnVIL snapshot into BigQuery via TDR's parquet
+        Import tables for an AnVIL snapshot into BigQuery via TDR's Parquet
         export API. Only tables defined in the AnVIL schema will be imported.
         Currently, only GS-backed snapshots are supported.
         """
@@ -758,7 +758,7 @@ def import_tables(self, source: TDRSourceRef):
 
         urls_by_table = self.tdr.export_parquet_urls(source.id)
         reject(urls_by_table is None,
-               'No parquet access information is available for snapshot %r.', source.spec)
+               'No Parquet access information is available for snapshot %r.', source.spec)
 
         for table in anvil_schema['tables']:
             table_name = table['name']

src/azul/terra.py

@@ -700,7 +700,7 @@ def create_table(self,
 
         :param table_name: Unqualified name of the new table
 
-        :param import_urls: URLs of parquet file(s) to populate the table. These
+        :param import_urls: URLs of Parquet file(s) to populate the table. These
                             must be `gs://` URLS and the GCS bucket's region
                             must be compatible with the target dataset's. See
                             https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-parquet#limitations