Apply suggestions from code review

Co-authored-by: Kevin Liu <[email protected]>

pyiceberg/catalog/s3tables.py

@@ -141,7 +141,7 @@ def create_table(
         schema: Schema = self._convert_schema_if_needed(schema)  # type: ignore
 
         # creating a new table with S3 Tables is a two step process. We first have to create an S3 Table with the
-        # S3 Tables API and then write the new metadata.json to the warehouseLocaiton associated with the newly
+        # S3 Tables API and then write the new metadata.json to the warehouseLocation associated with the newly
         # created S3 Table.
         try:
             self.s3tables.create_table(

tests/catalog/test_s3tables.py

@@ -26,11 +26,15 @@ def table_bucket_arn() -> str:
     # in one of the supported regions.
 
     return os.environ["ARN"]
+@pytest.fixture
+def aws_region() -> str:
+    import os
 
+    return os.environ["AWS_REGION"]
 
 @pytest.fixture
-def catalog(table_bucket_arn: str) -> S3TableCatalog:
-    properties = {"s3tables.table-bucket-arn": table_bucket_arn, "s3tables.region": "us-east-1", "s3.region": "us-east-1"}
+def catalog(table_bucket_arn: str, aws_region: str) -> S3TableCatalog:
+    properties = {"s3tables.table-bucket-arn": table_bucket_arn, "s3tables.region": aws_region}
     return S3TableCatalog(name="test_s3tables_catalog", **properties)