[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

openml/__init__.py

@@ -91,35 +91,35 @@ def populate_cache(
 
 
 __all__ = [
-    "OpenMLDataset",
+    "OpenMLBenchmarkSuite",
+    "OpenMLClassificationTask",
+    "OpenMLClusteringTask",
     "OpenMLDataFeature",
-    "OpenMLRun",
-    "OpenMLSplit",
+    "OpenMLDataset",
     "OpenMLEvaluation",
-    "OpenMLSetup",
-    "OpenMLParameter",
-    "OpenMLTask",
-    "OpenMLSupervisedTask",
-    "OpenMLClusteringTask",
+    "OpenMLFlow",
     "OpenMLLearningCurveTask",
+    "OpenMLParameter",
     "OpenMLRegressionTask",
-    "OpenMLClassificationTask",
-    "OpenMLFlow",
+    "OpenMLRun",
+    "OpenMLSetup",
+    "OpenMLSplit",
     "OpenMLStudy",
-    "OpenMLBenchmarkSuite",
+    "OpenMLSupervisedTask",
+    "OpenMLTask",
+    "__version__",
+    "_api_calls",
+    "config",
     "datasets",
     "evaluations",
     "exceptions",
     "extensions",
-    "config",
-    "runs",
     "flows",
-    "tasks",
+    "runs",
     "setups",
     "study",
+    "tasks",
     "utils",
-    "_api_calls",
-    "__version__",
 ]
 
 # Load the scikit-learn extension by default

openml/config.py

@@ -254,8 +254,8 @@ def stop_using_configuration_for_example(cls) -> None:
         global server  # noqa: PLW0603
         global apikey  # noqa: PLW0603
 
-        server = cast(str, cls._last_used_server)
-        apikey = cast(str, cls._last_used_key)
+        server = cast("str", cls._last_used_server)
+        apikey = cast("str", cls._last_used_key)
         cls._start_last_called = False
 
 
@@ -513,10 +513,10 @@ def overwrite_config_context(config: dict[str, Any]) -> Iterator[_Config]:
 
 __all__ = [
     "get_cache_directory",
+    "get_config_as_dict",
     "set_root_cache_directory",
     "start_using_configuration_for_example",
     "stop_using_configuration_for_example",
-    "get_config_as_dict",
 ]
 
 _setup()

openml/datasets/__init__.py

@@ -17,17 +17,17 @@
 )
 
 __all__ = [
+    "OpenMLDataFeature",
+    "OpenMLDataset",
     "attributes_arff_from_df",
     "check_datasets_active",
     "create_dataset",
+    "delete_dataset",
+    "edit_dataset",
+    "fork_dataset",
     "get_dataset",
     "get_datasets",
     "list_datasets",
-    "OpenMLDataset",
-    "OpenMLDataFeature",
-    "status_update",
     "list_qualities",
-    "edit_dataset",
-    "fork_dataset",
-    "delete_dataset",
+    "status_update",
 ]

openml/datasets/data_feature.py

@@ -51,8 +51,7 @@ def __init__(  # noqa: PLR0913
         if data_type == "nominal":
             if nominal_values is None:
                 raise TypeError(
-                    "Dataset features require attribute `nominal_values` for nominal "
-                    "feature type.",
+                    "Dataset features require attribute `nominal_values` for nominal feature type.",
                 )
 
             if not isinstance(nominal_values, list):

openml/datasets/dataset.py

@@ -448,7 +448,7 @@ def _parse_data_from_arff(  # noqa: C901, PLR0912, PLR0915
             data = self._get_arff(self.format)
         except OSError as e:
             logger.critical(
-                f"Please check that the data file {arff_file_path} is " "there and can be read.",
+                f"Please check that the data file {arff_file_path} is there and can be read.",
             )
             raise e
 

openml/datasets/functions.py

@@ -72,7 +72,7 @@ def list_qualities() -> list[str]:
         raise ValueError('Error in return XML, does not contain "oml:data_qualities_list"')
 
     if not isinstance(qualities["oml:data_qualities_list"]["oml:quality"], list):
-        raise TypeError("Error in return XML, does not contain " '"oml:quality" as a list')
+        raise TypeError('Error in return XML, does not contain "oml:quality" as a list')
 
     return qualities["oml:data_qualities_list"]["oml:quality"]
 
@@ -177,7 +177,7 @@ def list_datasets(
     """
     if output_format not in ["dataframe", "dict"]:
         raise ValueError(
-            "Invalid output format selected. " "Only 'dict' or 'dataframe' applicable.",
+            "Invalid output format selected. Only 'dict' or 'dataframe' applicable.",
         )
 
     # TODO: [0.15]

openml/evaluations/__init__.py

@@ -5,7 +5,7 @@
 
 __all__ = [
     "OpenMLEvaluation",
-    "list_evaluations",
     "list_evaluation_measures",
+    "list_evaluations",
     "list_evaluations_setups",
 ]

openml/evaluations/evaluation.py

@@ -103,7 +103,7 @@ def __repr__(self) -> str:
             "Run ID",
             "OpenML Run URL",
             "Task ID",
-            "OpenML Task URL" "Flow ID",
+            "OpenML Task URLFlow ID",
             "OpenML Flow URL",
             "Setup ID",
             "Data ID",

openml/evaluations/functions.py

@@ -234,7 +234,7 @@ def __list_evaluations(
     # Minimalistic check if the XML is useful
     if "oml:evaluations" not in evals_dict:
         raise ValueError(
-            "Error in return XML, does not contain " f'"oml:evaluations": {evals_dict!s}',
+            f'Error in return XML, does not contain "oml:evaluations": {evals_dict!s}',
         )
 
     assert isinstance(evals_dict["oml:evaluations"]["oml:evaluation"], list), type(
@@ -321,9 +321,9 @@ def list_evaluation_measures() -> list[str]:
     qualities = xmltodict.parse(xml_string, force_list=("oml:measures"))
     # Minimalistic check if the XML is useful
     if "oml:evaluation_measures" not in qualities:
-        raise ValueError("Error in return XML, does not contain " '"oml:evaluation_measures"')
+        raise ValueError('Error in return XML, does not contain "oml:evaluation_measures"')
     if not isinstance(qualities["oml:evaluation_measures"]["oml:measures"][0]["oml:measure"], list):
-        raise TypeError("Error in return XML, does not contain " '"oml:measure" as a list')
+        raise TypeError('Error in return XML, does not contain "oml:measure" as a list')
     return qualities["oml:evaluation_measures"]["oml:measures"][0]["oml:measure"]
 
 
@@ -343,13 +343,13 @@ def list_estimation_procedures() -> list[str]:
 
     # Minimalistic check if the XML is useful
     if "oml:estimationprocedures" not in api_results:
-        raise ValueError("Error in return XML, does not contain " '"oml:estimationprocedures"')
+        raise ValueError('Error in return XML, does not contain "oml:estimationprocedures"')
     if "oml:estimationprocedure" not in api_results["oml:estimationprocedures"]:
-        raise ValueError("Error in return XML, does not contain " '"oml:estimationprocedure"')
+        raise ValueError('Error in return XML, does not contain "oml:estimationprocedure"')
 
     if not isinstance(api_results["oml:estimationprocedures"]["oml:estimationprocedure"], list):
         raise TypeError(
-            "Error in return XML, does not contain " '"oml:estimationprocedure" as a list',
+            'Error in return XML, does not contain "oml:estimationprocedure" as a list',
         )
 
     return [
@@ -415,7 +415,7 @@ def list_evaluations_setups(
     """
     if parameters_in_separate_columns and (flows is None or len(flows) != 1):
         raise ValueError(
-            "Can set parameters_in_separate_columns to true " "only for single flow_id",
+            "Can set parameters_in_separate_columns to true only for single flow_id",
         )
 
     # List evaluations

openml/extensions/__init__.py

@@ -10,7 +10,7 @@
 
 __all__ = [
     "Extension",
-    "register_extension",
-    "get_extension_by_model",
     "get_extension_by_flow",
+    "get_extension_by_model",
+    "register_extension",
 ]