fix pre-commit?

aiida_mlip/workflows/training_workgraph.py

@@ -3,12 +3,12 @@
 from pathlib import Path
 
 from aiida_quantumespresso.workflows.pw.relax import PwRelaxWorkChain
-from aiida_workgraph.workgraph import WorkGraph, task
+from aiida_workgraph import WorkGraph, task
 from ase.io import read
 from sklearn.model_selection import train_test_split
 
-from aiida.orm import Dict, SinglefileData, load_code
-from aiida.plugins import CalculationFactory, WorkflowFactory, entry_point
+from aiida.orm import SinglefileData
+from aiida.plugins import CalculationFactory, WorkflowFactory
 
 from aiida_mlip.data.config import JanusConfigfile
 from aiida_mlip.helpers.help_load import load_structure
@@ -67,12 +67,12 @@ def create_input(**inputs: dict) -> SinglefileData:
     """
 
     input_data = []
-    for name, structure in inputs.items():
+    for _, structure in inputs.items():
         ase_structure = structure.to_ase()
         extxyz_str = ase_structure.write(format="extxyz")
         input_data.append(extxyz_str)
     temp_file_path = "tmp.extxyz"
-    with open(temp_file_path, "w") as temp_file:
+    with open(temp_file_path, "w", encoding="utf8") as temp_file:
         temp_file.write("\n".join(input_data))
 
     file_data = SinglefileData(file=temp_file_path)
@@ -113,11 +113,11 @@ def split_xyz_file(xyz_file: SinglefileData) -> dict:
     test_path = "test.extxyz"
     validation_path = "validation.extxyz"
 
-    with open(train_path, "w") as f:
+    with open(train_path, "w", encoding="utf8") as f:
         f.write("\n".join(train_data))
-    with open(test_path, "w") as f:
+    with open(test_path, "w", encoding="utf8") as f:
         f.write("\n".join(test_data))
-    with open(validation_path, "w") as f:
+    with open(validation_path, "w", encoding="utf8") as f:
         f.write("\n".join(validation_data))
 
     return {
@@ -152,12 +152,13 @@ def update_janusconfigfile(janusconfigfile: JanusConfigfile) -> JanusConfigfile:
 
     new_config_path = "./config.yml"
 
-    with open(new_config_path, "w") as file:
+    with open(new_config_path, "w", encoding="utf8") as file:
         file.write(content)
 
     return JanusConfigfile(file=new_config_path)
 
 
+# pylint: disable=unused-variable
 def TrainWorkGraph(
     folder_path: Path, inputs: dict, janusconfigfile: JanusConfigfile
 ) -> WorkGraph:
@@ -202,6 +203,7 @@ def TrainWorkGraph(
     training_calc = CalculationFactory("mlip.train")
     train_inputs = {}
     train_inputs["config_file"] = update_config_task.outputs.result
+
     train_task = wg.add_task(
         training_calc, name="training", mlip_config=update_config_task.outputs.result
     )