[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -4,22 +4,22 @@ fail_fast: false
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace
-  - repo: https://github.com/psf/black
-    rev: 24.8.0
+  - repo: https://github.com/psf/black-pre-commit-mirror
+    rev: 26.1.0
     hooks:
       - id: black
         args: [--line-length=128, --verbose]
   - repo: https://github.com/PyCQA/flake8
-    rev: 7.1.1
+    rev: 7.3.0
     hooks:
       - id: flake8
         args: [--max-line-length=128, '--exclude=./.*,build,dist,official*,torch_ecg,references,*.ipynb', '--ignore=E501,W503,E203,F841,E402,E231', --count, --statistics, --show-source]
   - repo: https://github.com/pycqa/isort
-    rev: 5.13.2
+    rev: 7.0.0
     hooks:
       - id: isort
         args: [--profile=black, --line-length=128]

CPSC2020_challenge.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import math
 import time

cfg.py

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

data_reader.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import argparse
 import logging

metrics.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 from numbers import Real
 from typing import Any, List, Optional, Sequence, Tuple, Union

metrics_test.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 from typing import Any, List, Optional, Tuple, Union
 

model.py

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

phase_one_legacy/CPSC2020_challenge.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 from numbers import Real
 from typing import Tuple

phase_one_legacy/CPSC2020_challenge_test.py

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

phase_one_legacy/cfg.py

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

phase_one_legacy/data_reader.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import argparse
 import logging

phase_one_legacy/models/dl_models/train_model_dl.py

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

phase_one_legacy/models/load_model.py

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

saved_models/__init__.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import os
 from typing import Optional, Tuple, Union

signal_processing/__init__.py

@@ -1,2 +1 @@
-"""
-"""
+""" """

train.py

@@ -1,5 +1,4 @@
-"""
-"""
+""" """
 
 import argparse
 import logging
@@ -436,17 +435,15 @@ def evaluate_crnn(
         head_labels = all_labels[:head_num, ...]
         head_labels_classes = [np.array(classes)[np.where(row)] for row in head_labels]
         for n in range(head_num):
-            print(
-                f"""
+            print(f"""
             ----------------------------------------------
             scalar prediction:    {[round(n, 3) for n in head_scalar_preds[n].tolist()]}
             binary prediction:    {head_bin_preds[n].tolist()}
             labels:               {head_labels[n].astype(int).tolist()}
             predicted classes:    {head_preds_classes[n].tolist()}
             label classes:        {head_labels_classes[n].tolist()}
             ----------------------------------------------
-            """
-            )
+            """)
 
     auroc, auprc, accuracy, f_measure, f_beta_measure, g_beta_measure = eval_score(
         classes=classes,

utils.py

@@ -926,9 +926,7 @@ def init_logger(log_dir: str, log_file: Optional[str] = None, mode: str = "a", v
     return logger
 
 
-CPSC_STATS = pd.read_csv(
-    StringIO(
-        """rec,AF,len_h,N_beats,V_beats,S_beats,total_beats
+CPSC_STATS = pd.read_csv(StringIO("""rec,AF,len_h,N_beats,V_beats,S_beats,total_beats
 A01,No,25.89,109062,0,24,109086
 A02,Yes,22.83,98936,4554,0,103490
 A03,Yes,24.70,137249,382,0,137631
@@ -938,19 +936,15 @@ def init_logger(log_dir: str, log_file: Optional[str] = None, mode: str = "a", v
 A07,No,23.11,73325,15150,3481,91956
 A08,Yes,25.46,115518,2793,0,118311
 A09,No,25.84,88229,2,1462,89693
-A10,No,23.64,72821,169,9071,82061"""
-    )
-)
+A10,No,23.64,72821,169,9071,82061"""))
 
 
 # columns truth, rows pred
 OFFICIAL_LOSS_DF = pd.read_csv(
-    StringIO(
-        """,N_true,S_true,V_true
+    StringIO(""",N_true,S_true,V_true
 N_pred,0,5,5
 S_pred,1,0,5
-V_pred,1,5,0"""
-    ),
+V_pred,1,5,0"""),
     index_col=0,
 )
 OFFICIAL_LOSS_MAT = OFFICIAL_LOSS_DF.values