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

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

Author: pre-commit-ci[bot]

cfg.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import os
 from copy import deepcopy

data_reader.py

@@ -1,6 +1,5 @@
 # -*- coding: utf-8 -*-
-"""
-"""
+""" """
 
 import json
 import logging

dataset.py

@@ -1252,14 +1252,10 @@ def _train_test_split(self, train_ratio: float = 0.8, force_recompute: bool = Fa
             with open(test_file_1, "w") as f1, open(test_file_2, "w") as f2:
                 json.dump(test_set, f1, ensure_ascii=False)
                 json.dump(test_set, f2, ensure_ascii=False)
-            print(
-                nildent(
-                    f"""
+            print(nildent(f"""
                 train set saved to \n\042{train_file_1}\042and\n\042{train_file_2}\042
                 test set saved to \n\042{test_file_1}\042and\n\042{test_file_2}\042
-                """
-                )
-            )
+                """))
         else:
             with open(train_file, "r") as f:
                 train_set = json.load(f)

gather_results.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import glob
 import json

sample_data/__init__.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import glob
 import os

test_entry.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import glob
 import os

trainer.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import argparse
 import logging
@@ -149,8 +148,7 @@ def train(
         comment=f"OPT_{config.task}_{_model.__name__}{cnn_name}{rnn_name}{attn_name}_{config.train_optimizer}_LR_{lr}_BS_{batch_size}",
     )
 
-    msg = textwrap.dedent(
-        f"""
+    msg = textwrap.dedent(f"""
         Starting training:
         ------------------
         Task:            {config.task}
@@ -163,8 +161,7 @@ def train(
         Optimizer:       {config.train_optimizer}
         Dataset classes: {train_dataset.all_classes}
         ---------------------------------------------------
-        """
-    )
+        """)
 
     if logger:
         logger.info(msg)
@@ -347,15 +344,13 @@ def train(
             else:
                 eval_train_msg = ""
             for k, v in eval_res.items():
-                msg = textwrap.dedent(
-                    f"""
+                msg = textwrap.dedent(f"""
                     Train epoch_{epoch + 1}:
                     --------------------
                     train/epoch_loss:        {epoch_loss}{eval_train_msg}
                     test/task_metric_{k}:    {v}
                     ---------------------------------
-                    """
-                )
+                    """)
             if logger:
                 logger.info(msg)
             else:
@@ -378,12 +373,10 @@ def train(
                         print(msg)
                     break
 
-            msg = textwrap.dedent(
-                f"""
+            msg = textwrap.dedent(f"""
                 best metric = {best_metric},
                 obtained at epoch {best_epoch}
-            """
-            )
+            """)
             if logger:
                 logger.info(msg)
             else:

utils/__init__.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import os
 import sys

utils/misc.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import datetime
 import json

utils/scoring_metrics_test.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import argparse
 import glob
@@ -165,14 +164,10 @@ def run_single_test(rec: str, classes: Optional[List[str]] = None, verbose: bool
         return
 
     print(f"  {os.path.basename(rec)} starts ".center(30, "-"))
-    print(
-        textwrap.dedent(
-            f"""
+    print(textwrap.dedent(f"""
         record = {os.path.basename(rec)},
         class = {header.comments[0]},
-        """
-        )
-    )
+        """))
 
     custom_onset_scoring_mask, custom_offset_scoring_mask = gen_endpoint_score_mask(
         siglen=header.sig_len,