Lint

Author: jaidisido

awswrangler/_threading.py

@@ -37,4 +37,4 @@ def map(self, func: Callable[..., List[str]], boto3_session: boto3.Session, *ite
             args = (itertools.repeat(boto3_primitives), *iterables)
             return list(self._exec.map(func, *args))
         # Single-threaded
-        return list(map(func, *(itertools.repeat(boto3_session), *iterables)))  # type: ignore
+        return list(map(func, *(itertools.repeat(boto3_session), *iterables)))  # type: ignore

awswrangler/distributed/datasources/parquet_datasource.py

@@ -5,10 +5,10 @@
 
 import numpy as np
 import pyarrow as pa
-import pyarrow.parquet as pq
 
 # fs required to implicitly trigger S3 subsystem initialization
 import pyarrow.fs  # noqa: F401 pylint: disable=unused-import
+import pyarrow.parquet as pq
 from ray import cloudpickle
 from ray.data.context import DatasetContext
 from ray.data.datasource.datasource import ReadTask
@@ -46,7 +46,6 @@ def prepare_read(
         _block_udf: Optional[Callable[..., Any]] = None,
     ) -> List[ReadTask]:
         """Create and return read tasks for a Parquet file-based datasource."""
-
         paths, filesystem = _resolve_paths_and_filesystem(paths, filesystem)
 
         parquet_dataset = pq.ParquetDataset(

awswrangler/s3/_read_parquet.py

@@ -97,7 +97,7 @@ def _read_schemas_from_files(
     paths = _utils.list_sampling(lst=paths, sampling=sampling)
 
     executor = _get_executor(use_threads=use_threads)
-    return ray_get(
+    schemas = ray_get(
         executor.map(
             _read_parquet_metadata_file,
             boto3_session,
@@ -108,6 +108,7 @@ def _read_schemas_from_files(
             itertools.repeat(coerce_int96_timestamp_unit),
         )
     )
+    return [schema for schema in schemas if schema is not None]
 
 
 def _validate_schemas(schemas: List[pa.schema], validate_schema: bool) -> pa.schema: