fix CI python format

bitsandbytes/__init__.py

@@ -16,9 +16,9 @@
 from .nn import modules
 
 if COMPILED_WITH_CUDA:
-    from .optim import adam
     from .backends import register_backend
     from .backends.cuda import CUDABackend
+    from .optim import adam
     register_backend("cuda", CUDABackend())
 __pdoc__ = {
     "libbitsandbytes": False,

bitsandbytes/backends/__init__.py

@@ -1,4 +1,5 @@
 from typing import Dict
+
 import torch
 
 from bitsandbytes.backends.base import Backend

bitsandbytes/backends/cuda.py

@@ -19,7 +19,6 @@
     prod,
     quantize_blockwise,
 )
-
 from bitsandbytes.utils import QuantState
 
 from .base import Backend

bitsandbytes/functional.py

@@ -6,19 +6,17 @@
 from functools import reduce  # Required in Python 3
 import itertools
 import operator
-from typing import Any, Dict, Optional, Tuple
+from typing import Optional, Tuple
 
 import numpy as np
 import torch
 from torch import Tensor
 
-from bitsandbytes.utils import pack_dict_to_tensor, unpack_tensor_to_dict
+from bitsandbytes.backends import backends
+from bitsandbytes.utils import QuantState
 
 from .cextension import COMPILED_WITH_CUDA, lib
 
-from bitsandbytes.utils import QuantState
-
-from bitsandbytes.backends import backends
 
 # math.prod not compatible with python < 3.8
 def prod(iterable):
@@ -2064,4 +2062,4 @@ def extract_outliers(A, SA, idx):
 def pipeline_test(A, batch_size):
     out = torch.zeros_like(A)
     lib.cpipeline_test(get_ptr(A), get_ptr(out), ct.c_size_t(A.numel()), ct.c_size_t(batch_size))
-    return out
+    return out

bitsandbytes/utils.py

@@ -1,7 +1,7 @@
 import json
 import shlex
 import subprocess
-from typing import Tuple, Dict, Any
+from typing import Any, Dict, Tuple
 
 import torch