diff --git a/test/quantization/test_quant_primitives.py b/test/quantization/test_quant_primitives.py
index 7447f5afc8..77616c1c6a 100644
--- a/test/quantization/test_quant_primitives.py
+++ b/test/quantization/test_quant_primitives.py
@@ -14,16 +14,16 @@
 from torchao.dtypes.utils import is_device
 from torchao.float8.float8_utils import EPS as float8_eps
 from torchao.quantization.quant_primitives import (
+    MappingType,
+    ZeroPointDomain,
     choose_qparams_affine,
     choose_qparams_affine_float8,
     dequantize_affine,
     dequantize_affine_float8,
     fake_quantize_affine,
     fake_quantize_affine_cachemask,
-    MappingType,
     quantize_affine,
     quantize_affine_float8,
-    ZeroPointDomain,
 )
 
 # TODO: remove test for utils?
@@ -34,11 +34,11 @@
     quantize_activation_per_token_absmax,
 )
 from torchao.utils import (
-    is_fbcode,
     TORCH_VERSION_AT_LEAST_2_3,
     TORCH_VERSION_AT_LEAST_2_4,
     TORCH_VERSION_AT_LEAST_2_5,
     TORCH_VERSION_AT_LEAST_2_6,
+    is_fbcode,
 )
 
 _SEED = 1234
diff --git a/torchao/quantization/quant_primitives.py b/torchao/quantization/quant_primitives.py
index ea372a3ceb..8b0ce28434 100644
--- a/torchao/quantization/quant_primitives.py
+++ b/torchao/quantization/quant_primitives.py
@@ -5,7 +5,7 @@
 # LICENSE file in the root directory of this source tree.
 
 import math
-from enum import auto, Enum
+from enum import Enum, auto
 from typing import Callable, Dict, List, Optional, Tuple, Union
 
 import torch
@@ -16,11 +16,11 @@
     _n_ones,
 )
 from torchao.utils import (
-    _is_float8_type,
-    _register_custom_op,
     TORCH_VERSION_AT_LEAST_2_3,
     TORCH_VERSION_AT_LEAST_2_5,
     TORCH_VERSION_AT_LEAST_2_6,
+    _is_float8_type,
+    _register_custom_op,
 )
 
 __all__ = [
@@ -1306,7 +1306,8 @@ def dequantize_affine_floatx(
 
 
 def choose_qparams_affine_float8(
-    tensor: torch.Tensor, float8_dtype: torch.dtype = torch.float8_e4m3fn,
+    tensor: torch.Tensor,
+    float8_dtype: torch.dtype = torch.float8_e4m3fn,
 ) -> torch.Tensor:
     """
     Calculates float8 scaling factor for the given high precision tensor, using tensorwise granularity.