Fixed ruff CI failure

ruff- I001 standard intrgrated.

Author: choudhary-devang

test/quantization/pt2e/test_arminductor_quantizer.py

@@ -11,30 +11,38 @@
 from enum import Enum
 
 import torch
-import torchao.quantization.pt2e.quantizer.arm_inductor_quantizer as armiq
 import torch.nn as nn
+
+import torchao.quantization.pt2e.quantizer.arm_inductor_quantizer as armiq
 from torchao.quantization.pt2e import ObserverBase
 from torchao.quantization.pt2e.quantize_pt2e import (
     convert_pt2e,
     prepare_pt2e,
     prepare_qat_pt2e,
 )
-from torchao.quantization.pt2e.quantizer.arm_inductor_quantizer import ArmInductorQuantizer
-from torchao.quantization.pt2e.quantizer.x86_inductor_quantizer import QUANT_ANNOTATION_KEY
+from torchao.quantization.pt2e.quantizer.arm_inductor_quantizer import (
+    ArmInductorQuantizer,
+)
+from torchao.quantization.pt2e.quantizer.x86_inductor_quantizer import (
+    QUANT_ANNOTATION_KEY,
+)
 from torchao.utils import TORCH_VERSION_AT_LEAST_2_5, TORCH_VERSION_AT_LEAST_2_7
 
 if TORCH_VERSION_AT_LEAST_2_5:
     from torch.export import export_for_training
 
+import functools
+import platform
+
 from torch.testing._internal.common_quantization import (
     NodeSpec as ns,
+)
+from torch.testing._internal.common_quantization import (
     QuantizationTestCase,
     skipIfNoInductorSupport,
 )
 from torch.testing._internal.common_utils import run_tests, skipIfTorchDynamo
 
-import functools
-import platform
 
 def skipIfNoArm(fn):
     reason = 'Quantized operations require Arm.'

torchao/quantization/pt2e/quantizer/arm_inductor_quantizer.py

@@ -9,11 +9,13 @@
 import operator
 import warnings
 from dataclasses import dataclass
-from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING
-from typing_extensions import TypeAlias
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional
 
 import torch
 import torch.nn.functional as F
+from torch.fx import Node
+from typing_extensions import TypeAlias
+
 from torchao.quantization.pt2e.fake_quantize import (
     FakeQuantize,
     FusedMovingAvgObsFakeQuantize,
@@ -24,14 +26,19 @@
     MovingAverageMinMaxObserver,
     PlaceholderObserver,
 )
-from torchao.quantization.pt2e.quantizer.quantizer import QuantizationSpec, QuantizationAnnotation
-from torchao.quantization.pt2e.quantizer import QuantizationConfig, get_module_name_filter
-from torch.fx import Node
+from torchao.quantization.pt2e.quantizer import (
+    QuantizationConfig,
+    get_module_name_filter,
+)
+from torchao.quantization.pt2e.quantizer.quantizer import (
+    QuantizationAnnotation,
+    QuantizationSpec,
+)
+
 from .x86_inductor_quantizer import (
     X86InductorQuantizer,
 )
 
-
 FilterFn: TypeAlias = Callable[[List[Node]], bool]