CLN: blacken with same version as Stickler

Author: tswast

noxfile.py

@@ -15,7 +15,8 @@
 latest_python = "3.8"
 
 # Use a consistent version of black so CI is deterministic.
-black_package = "black==19.10b0"
+# Should match Stickler: https://stickler-ci.com/docs#black
+black_package = "black==20.8b1"
 
 
 @nox.session

pandas_gbq/auth.py

@@ -51,7 +51,9 @@ def get_credentials(
     return credentials, project_id
 
 
-def get_credentials_cache(reauth,):
+def get_credentials_cache(
+    reauth,
+):
     import pydata_google_auth.cache
 
     if reauth:

pandas_gbq/gbq.py

@@ -1238,7 +1238,7 @@ def _generate_bq_schema(df, default_type="STRING"):
     issues in the default schema generation. Now that individual columns can
     be overridden: https://github.com/pydata/pandas-gbq/issues/218, this
     method can be removed after there is time to migrate away from this
-    method. """
+    method."""
     from pandas_gbq import schema
 
     return schema.generate_bq_schema(df, default_type=default_type)
@@ -1264,7 +1264,7 @@ def __init__(
         )
 
     def exists(self, table_id):
-        """ Check if a table exists in Google BigQuery
+        """Check if a table exists in Google BigQuery
 
         Parameters
         ----------
@@ -1288,7 +1288,7 @@ def exists(self, table_id):
             self.process_http_error(ex)
 
     def create(self, table_id, schema):
-        """ Create a table in Google BigQuery given a table and schema
+        """Create a table in Google BigQuery given a table and schema
 
         Parameters
         ----------
@@ -1330,7 +1330,7 @@ def create(self, table_id, schema):
             self.process_http_error(ex)
 
     def delete(self, table_id):
-        """ Delete a table in Google BigQuery
+        """Delete a table in Google BigQuery
 
         Parameters
         ----------
@@ -1370,7 +1370,7 @@ def __init__(
         )
 
     def exists(self, dataset_id):
-        """ Check if a dataset exists in Google BigQuery
+        """Check if a dataset exists in Google BigQuery
 
         Parameters
         ----------
@@ -1393,7 +1393,7 @@ def exists(self, dataset_id):
             self.process_http_error(ex)
 
     def create(self, dataset_id):
-        """ Create a dataset in Google BigQuery
+        """Create a dataset in Google BigQuery
 
         Parameters
         ----------

tests/system/test_read_gbq_with_bqstorage.py

@@ -30,7 +30,10 @@ def test_empty_results(method_under_test, query_string):
 
     See: https://github.com/pydata/pandas-gbq/issues/299
     """
-    df = method_under_test(query_string, use_bqstorage_api=True,)
+    df = method_under_test(
+        query_string,
+        use_bqstorage_api=True,
+    )
     assert len(df.index) == 0
 
 

tests/unit/test_gbq.py

@@ -248,8 +248,8 @@ def test_to_gbq_doesnt_run_query(
 def test_to_gbq_w_empty_df(mock_bigquery_client):
     import google.api_core.exceptions
 
-    mock_bigquery_client.get_table.side_effect = google.api_core.exceptions.NotFound(
-        "my_table"
+    mock_bigquery_client.get_table.side_effect = (
+        google.api_core.exceptions.NotFound("my_table")
     )
     gbq.to_gbq(DataFrame(), "my_dataset.my_table", project_id="1234")
     mock_bigquery_client.create_table.assert_called_with(mock.ANY)
@@ -260,11 +260,11 @@ def test_to_gbq_w_empty_df(mock_bigquery_client):
 def test_to_gbq_creates_dataset(mock_bigquery_client):
     import google.api_core.exceptions
 
-    mock_bigquery_client.get_table.side_effect = google.api_core.exceptions.NotFound(
-        "my_table"
+    mock_bigquery_client.get_table.side_effect = (
+        google.api_core.exceptions.NotFound("my_table")
     )
-    mock_bigquery_client.get_dataset.side_effect = google.api_core.exceptions.NotFound(
-        "my_dataset"
+    mock_bigquery_client.get_dataset.side_effect = (
+        google.api_core.exceptions.NotFound("my_dataset")
     )
     gbq.to_gbq(DataFrame([[1]]), "my_dataset.my_table", project_id="1234")
     mock_bigquery_client.create_dataset.assert_called_with(mock.ANY)
@@ -375,7 +375,8 @@ def test_read_gbq_with_old_bq_raises_importerror():
     ) as mock_version:
         mock_version.side_effect = [bigquery_version]
         gbq.read_gbq(
-            "SELECT 1", project_id="my-project",
+            "SELECT 1",
+            project_id="my-project",
         )
 
 

tests/unit/test_load.py

@@ -38,8 +38,7 @@ def test_encode_chunk_with_floats():
 
 
 def test_encode_chunk_with_newlines():
-    """See: https://github.com/pydata/pandas-gbq/issues/180
-    """
+    """See: https://github.com/pydata/pandas-gbq/issues/180"""
     df = pandas.DataFrame({"s": ["abcd", "ef\ngh", "ij\r\nkl"]})
     csv_buffer = load.encode_chunk(df)
     csv_bytes = csv_buffer.read()