Replace isort with ruff for import sorting

- Update pre-commit config to use ruff with --select=I for imports only
- Apply ruff import sorting to fix pre-commit issues
- Ruff and black work together without conflicts

environments/community/pytorch_optimizer_coding/FOB/examples/neps/hpo.py

@@ -9,6 +9,7 @@ import torch
 from lightning.pytorch.callbacks import ModelCheckpoint
 from lightning.pytorch.loggers import TensorBoardLogger
 from neps.utils.common import get_initial_directory, load_lightning_checkpoint
+
 from pytorch_fob.engine.engine import Engine, Run
 
 #############################################################

environments/community/pytorch_optimizer_coding/FOB/fix_folder_names.py

@@ -8,6 +8,7 @@ from pathlib import Path
 from pprint import pprint
 
 import yaml
+
 from pytorch_fob.engine.engine import Engine
 
 

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/engine/callbacks.py

@@ -6,9 +6,10 @@ import deepspeed
 import torch
 from lightning import Callback, LightningModule, Trainer
 from lightning_utilities.core.rank_zero import rank_zero_only
-from pytorch_fob.engine.utils import log_debug, log_info, log_warn, seconds_to_str
 from torch.linalg import vector_norm
 
+from pytorch_fob.engine.utils import log_debug, log_info, log_warn, seconds_to_str
+
 
 class RestrictTrainEpochs(Callback):
     """Counts number of epochs since start of training and stops if max_epochs is reached."""

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/engine/engine.py

@@ -5,6 +5,7 @@ from typing import Any, Callable, Iterable, Iterator, Literal, Optional
 
 from matplotlib.figure import Figure
 from pandas import DataFrame, concat, json_normalize
+
 from pytorch_fob.engine.configs import EvalConfig
 from pytorch_fob.engine.grid_search import grid_search
 from pytorch_fob.engine.parser import YAMLParser

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/engine/parameter_groups.py

@@ -1,11 +1,12 @@
 from dataclasses import dataclass, field
 from typing import Any, Callable, Iterable, Optional
 
-from pytorch_fob.engine.utils import log_warn, some
 from torch import nn
 from torch.nn import Module
 from torch.nn.parameter import Parameter
 
+from pytorch_fob.engine.utils import log_warn, some
+
 
 @dataclass
 class ParameterGroup:

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/engine/run.py

@@ -19,6 +19,7 @@ from lightning.pytorch.callbacks import (
 )
 from lightning.pytorch.loggers import CSVLogger, Logger, TensorBoardLogger
 from lightning.pytorch.utilities.types import _EVALUATE_OUTPUT
+
 from pytorch_fob.engine.callbacks import (
     LogTrainingStats,
     OptimizerTime,

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/engine/run_schedulers.py

@@ -4,6 +4,7 @@ from tempfile import TemporaryDirectory
 from typing import Any, Iterable, Optional, Sequence
 
 import yaml
+
 from pytorch_fob.engine.run import Run
 from pytorch_fob.engine.slurm import Slurm
 from pytorch_fob.engine.utils import (

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/evaluation/plot.py

@@ -8,6 +8,7 @@ import matplotlib.pyplot as plt
 import pandas as pd
 import seaborn as sns
 from matplotlib.figure import Figure
+
 from pytorch_fob.engine.parser import YAMLParser
 from pytorch_fob.engine.utils import (
     AttributeDict,

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/optimizers/optimizers.py

@@ -2,6 +2,7 @@ import importlib
 from pathlib import Path
 
 from lightning.pytorch.utilities.types import OptimizerLRScheduler
+
 from pytorch_fob.engine.configs import OptimizerConfig
 from pytorch_fob.engine.parameter_groups import GroupedModel
 

environments/community/pytorch_optimizer_coding/FOB/pytorch_fob/tasks/tasks.py

@@ -7,11 +7,12 @@ import torch
 from lightning import LightningDataModule, LightningModule
 from lightning.pytorch.core.optimizer import LightningOptimizer
 from lightning.pytorch.utilities.types import OptimizerLRScheduler
+from torch import nn
+from torch.utils.data import DataLoader
+
 from pytorch_fob.engine.configs import TaskConfig
 from pytorch_fob.engine.parameter_groups import GroupedModel
 from pytorch_fob.optimizers import Optimizer
-from torch import nn
-from torch.utils.data import DataLoader
 
 
 def import_task(name: str):