Fix formating

Signed-off-by: Judah Rand <17158624+judahrand@users.noreply.github.com>

sdk/python/feast/type_map.py

@@ -289,7 +289,9 @@ def _python_value_to_proto_value(feast_value_type: ValueType, value: Any) -> Pro
                 if isinstance(sub_value, datetime):
                     converted_value.append(int(sub_value.timestamp()))
                 elif isinstance(sub_value, date):
-                    converted_value.append(int(datetime(*sub_value.timetuple()[:6]).timestamp()))
+                    converted_value.append(
+                        int(datetime(*sub_value.timetuple()[:6]).timestamp())
+                    )
                 elif isinstance(sub_value, Timestamp):
                     converted_value.append(int(sub_value.ToSeconds()))
                 else:

sdk/python/tests/data/data_creator.py

@@ -60,8 +60,20 @@ def get_feature_values_for_dtype(
         "float": [1.0, None, 3.0, 4.0, 5.0],
         "string": ["1", None, "3", "4", "5"],
         "bool": [True, None, False, True, False],
-        "datetime": [datetime(2020, 1, 2), None, datetime(2020, 1, 3), datetime(2020, 1, 4), datetime(2020, 1, 5)],
-        "date": [date(2020, 1, 2), None, date(2020, 1, 3), date(2020, 1, 4), date(2020, 1, 5)],
+        "datetime": [
+            datetime(2020, 1, 2),
+            None,
+            datetime(2020, 1, 3),
+            datetime(2020, 1, 4),
+            datetime(2020, 1, 5),
+        ],
+        "date": [
+            date(2020, 1, 2),
+            None,
+            date(2020, 1, 3),
+            date(2020, 1, 4),
+            date(2020, 1, 5),
+        ],
     }
     non_list_val = dtype_map[dtype]
     if is_list:

sdk/python/tests/integration/registration/test_universal_types.py

@@ -1,14 +1,14 @@
 from dataclasses import dataclass
 from datetime import date, datetime, timedelta
 from typing import List
-import feast
 
 import numpy as np
 import pandas as pd
-import pytest
 import pyarrow as pa
 import pyarrow.types
+import pytest
 
+import feast
 from feast.infra.offline_stores.offline_store import RetrievalJob
 from feast.value_type import ValueType
 from tests.data.data_creator import create_dataset
@@ -29,7 +29,7 @@ def populate_test_configs(offline: bool):
         (ValueType.STRING, "float"),
         (ValueType.STRING, "bool"),
         (ValueType.INT32, "datetime"),
-        (ValueType.INT32, "date")
+        (ValueType.INT32, "date"),
     ]
     configs: List[TypeTestConfig] = []
     for test_repo_config in FULL_REPO_CONFIGS:
@@ -156,11 +156,17 @@ def test_feature_get_historical_features_types_match(offline_types_test_fixtures
     environment, config, data_source, fv = offline_types_test_fixtures
 
     # TODO: improve how FileSource handles Arrow schema inference.
-    if config.feature_dtype == 'date' and config.feature_is_list and config.has_empty_list and isinstance(data_source, feast.FileSource):
+    if (
+        config.feature_dtype == "date"
+        and config.feature_is_list
+        and config.has_empty_list
+        and isinstance(data_source, feast.FileSource)
+    ):
         pytest.xfail(
             "`feast.FileSource` cannot deal with returning all empty "
             "`List[date]` features to Arrow as it infers the schema "
-            "from the Pandas Dataframe which does not have a dtype to represent `date`")
+            "from the Pandas Dataframe which does not have a dtype to represent `date`"
+        )
 
     fs = environment.feature_store
     fv = create_feature_view(
@@ -309,14 +315,8 @@ def assert_feature_list_types(
             bool,
             np.bool_,
         ),  # Can be `np.bool_` if from `np.array` rather that `list`
-        "datetime": (
-            datetime,
-            np.datetime64,
-        ),
-        "date": (
-            date,
-            np.datetime64
-        )
+        "datetime": (datetime, np.datetime64,),
+        "date": (date, np.datetime64),
     }
     expected_dtype = feature_list_dtype_to_expected_historical_feature_list_dtype[
         feature_dtype