ci: pre-commit autoupdate

.pre-commit-config.yaml

@@ -21,7 +21,7 @@ repos:
   #   hooks:
   #     - id: latexindent
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       - id: trailing-whitespace
       - id: check-added-large-files
@@ -43,7 +43,7 @@ repos:
   #       # Similar to: https://stackoverflow.com/a/73603491/5755604
   #       additional_dependencies: ['types-PyYAML']
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.2.2
+    rev: v0.4.2
     hooks:
     - id: ruff
       args:

src/otc/__init__.py

@@ -1,4 +1,3 @@
 """Support for custom code."""
 
-
 __version__ = "0.0.1"

src/otc/data/dataloader.py

@@ -3,6 +3,7 @@
 Adapted from here:
 https://discuss.pytorch.org/t/dataloader-much-slower-than-manual-batching/27014/6
 """
+
 from __future__ import annotations
 
 from typing import Any

src/otc/data/make_dataset.py

@@ -2,6 +2,7 @@
 
 See `notebooks/` for further details.
 """
+
 import logging
 import logging.config
 from pathlib import Path

src/otc/metrics/metrics.py

@@ -2,6 +2,7 @@
 
 See: https://hagstromer.org/2020/11/23/overestimated-effective-spreads/ for explanation.
 """
+
 from __future__ import annotations
 
 from typing import Literal

src/otc/models/activation.py

@@ -3,6 +3,7 @@
 Adapted from:
 https://github.com/Yura52/rtdl/blob/main/rtdl/functional.py
 """
+
 import torch
 import torch.nn.functional as F  # noqa: N812
 from torch import nn

src/otc/models/fttransformer.py

@@ -3,6 +3,7 @@
 Adapted from:
 https://github.com/Yura52/rtdl/
 """
+
 from __future__ import annotations
 
 import enum

src/otc/models/selftraining.py

@@ -2,6 +2,7 @@
 
 Based on sklearn implementation.
 """
+
 from __future__ import annotations
 
 import warnings

src/otc/models/train_model.py

@@ -3,6 +3,7 @@
 Currently classical rules and gradient boosted trees are supported.
 
 """
+
 import logging
 import logging.config
 import pickle

src/otc/models/transformer_classifier.py

@@ -2,6 +2,7 @@
 
 Can be used as a consistent interface for evaluation and tuning.
 """
+
 from __future__ import annotations
 
 import gc

src/otc/optim/early_stopping.py

@@ -3,7 +3,6 @@
 Adapted from here: https://bit.ly/3tTnyLU.
 """
 
-
 import logging
 import logging.config
 import math

src/otc/optim/scheduler.py

@@ -1,4 +1,5 @@
 """Learnin rate scheduler with linear warmup phase and cosine decay."""
+
 from typing import List
 
 import numpy as np

src/otc/utils/check_formalia.py

@@ -2,6 +2,7 @@
 
 TODO: add more tests.
 """
+
 import os
 import re
 from pathlib import Path

src/otc/utils/check_url.py

@@ -2,6 +2,7 @@
 
 Looks into .bib and .tex files.
 """
+
 import os
 import re
 from pathlib import Path

tests/test_dataset.py

@@ -4,7 +4,6 @@
 categorical data.
 """
 
-
 import numpy as np
 import pandas as pd
 import pytest

tests/test_objective.py

@@ -1,4 +1,5 @@
 """Tests for Objectives."""
+
 import datetime as dt
 from pathlib import Path
 from unittest.mock import patch