Ruff fixes (#984)

* Adjust Ruff configuration

* do not autofix always
* be less strict around tests and benchmarks
* adjust ignores for now

* Ruff: autofix I and F401

* Apply ruff autofixes

* Fix RUF013 complaint

* Fix mutable default in replace_linear

* Don't use bare except

* Wrap bitsandbytes.__main__ entrypoint in function; fix "sensible" typo

* Fix ruff B008 (function call in arguments)

* Add ruff noqas as suitable

* Fix RUF005 (splat instead of concatenating)

* Fix B018 (useless expression)

* Add pre-commit configuration + GitHub Actions lint workflow

* Fix unused `e` in bitsandbytes/__main__.py

* fix merge conflict resolution error

* run pre-commit hook

---------
Co-authored-by: Titus <9048635+Titus-von-Koeller@users.noreply.github.com>

tests/test_linear8bitlt.py

-import os
 from contextlib import nullcontext
 from itertools import product
+import os
 from tempfile import TemporaryDirectory
 
 import pytest
@@ -11,7 +11,6 @@ from bitsandbytes import functional as F
 from bitsandbytes.autograd import get_inverse_transform_indices, undo_layout
 from bitsandbytes.nn.modules import Linear8bitLt
 
-
 # contributed by Alex Borzunov, see:
 # https://github.com/bigscience-workshop/petals/blob/main/tests/test_linear8bitlt.py
 

tests/test_modules.py

-from itertools import product
+import math
 
+import einops
 import pytest
 import torch
 from torch import nn

tests/test_optim.py

-import ctypes
+from itertools import product
 import os
+from os.path import join
 import shutil
 import time
 import uuid
-from itertools import product
-from os.path import join
 
-import pytest
 from lion_pytorch import Lion
-
+import pytest
 import torch
 
 import bitsandbytes as bnb
@@ -27,7 +25,7 @@ def assert_most_approx_close(a, b, rtol=1e-3, atol=1e-3, max_error_count=0):
 
 
 def get_temp_dir():
-    path = f"/tmp/autoswap/{str(uuid.uuid4())}"
+    path = f"/tmp/autoswap/{uuid.uuid4()}"
     os.makedirs(path, exist_ok=True)
     return path
 

tests/test_triton.py

 import pytest
 import torch
 
-from bitsandbytes.triton.triton_utils import is_triton_available
-from bitsandbytes.nn.triton_based_modules import SwitchBackLinear
 from bitsandbytes.nn import Linear8bitLt
+from bitsandbytes.nn.triton_based_modules import SwitchBackLinear
+from bitsandbytes.triton.triton_utils import is_triton_available
+
 
 @pytest.mark.skipif(not is_triton_available() or not torch.cuda.is_available() or not torch.cuda.get_device_capability()[0] >= 8,
                     reason="This test requires triton and a GPU with compute capability 8.0 or higher.")