[BE][Easy][8/19] enforce style for empty lines in import segments in test/[k-p]*/ (#129759)

See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter.

You can review these PRs via:

```bash
git diff --ignore-all-space --ignore-blank-lines HEAD~1
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129759
Approved by: https://github.com/justinchuby, https://github.com/ezyang

test/lazy/test_debug_util.py

@@ -10,6 +10,7 @@ import torch._lazy.ts_backend
 import torch.nn as nn
 from torch.testing._internal.common_utils import IS_WINDOWS, run_tests, TestCase
 
+
 torch._lazy.ts_backend.init()
 
 

test/lazy/test_extract_compiled_graph.py

@@ -4,6 +4,7 @@ import unittest
 
 from torch._lazy.ts_backend import init as init_ts_backend
 
+
 init_ts_backend()
 import copy
 import dis

test/lazy/test_functionalization.py

@@ -7,6 +7,7 @@ import torch._lazy.metrics as metrics
 import torch._lazy.ts_backend
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 torch._lazy.ts_backend.init()
 
 NODE_TYPE_PATTERN = re.compile(r", NodeType=[^\n]+")

test/lazy/test_generator.py

@@ -5,6 +5,7 @@ import torch._lazy.metrics as metrics
 import torch._lazy.ts_backend
 from torch.testing._internal.common_utils import run_tests, skipIfTorchDynamo, TestCase
 
+
 torch._lazy.ts_backend.init()
 
 

test/lazy/test_meta_kernel.py

@@ -4,9 +4,9 @@ import torch
 import torch._lazy
 import torch._lazy.ts_backend
 from torch import float16, float32
-
 from torch.testing._internal.common_utils import TestCase
 
+
 torch._lazy.ts_backend.init()
 
 

test/lazy/test_reuse_ir.py

@@ -11,6 +11,7 @@ import torch._lazy.metrics as metrics
 import torch._lazy.ts_backend
 from torch.testing._internal.common_utils import IS_WINDOWS, run_tests, TestCase
 
+
 torch._lazy.ts_backend.init()
 torch._lazy.config.set_reuse_ir(True)
 

test/lazy/test_step_closures.py

@@ -7,6 +7,7 @@ import torch._lazy
 import torch._lazy.ts_backend
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 torch._lazy.ts_backend.init()
 
 

test/mobile/custom_build/prepare_model.py

@@ -9,6 +9,7 @@ from torchvision import models
 
 import torch
 
+
 # Download and trace the model.
 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
 model.eval()

test/mobile/lightweight_dispatch/tests_setup.py

@@ -1,13 +1,13 @@
 import functools
 import os
 import shutil
-
 import sys
 from io import BytesIO
 
 import torch
 from torch.jit.mobile import _export_operator_list, _load_for_lite_interpreter
 
+
 _OPERATORS = set()
 _FILENAMES = []
 _MODELS = []

test/mobile/model_test/gen_test_model.py

@@ -29,12 +29,7 @@ from nn_ops import (
     NNUtilsModule,
     NNVisionModule,
 )
-from quantization_ops import (
-    FusedQuantModule,
-    GeneralQuantModule,
-    # DynamicQuantModule,
-    StaticQuantModule,
-)
+from quantization_ops import FusedQuantModule, GeneralQuantModule, StaticQuantModule
 from sampling_ops import SamplingOpsModule
 from tensor_ops import (
     TensorCreationOpsModule,
@@ -52,6 +47,7 @@ from torchvision_models import (
 import torch
 from torch.jit.mobile import _load_for_lite_interpreter
 
+
 test_path_ios = "ios/TestApp/models/"
 test_path_android = "android/pytorch_android/src/androidTest/assets/"
 

test/mobile/model_test/update_production_ops.py

@@ -7,6 +7,7 @@ import sys
 
 import yaml
 
+
 root_operators = {}
 traced_operators = {}
 kernel_metadata = {}

test/mobile/test_bytecode.py

@@ -20,6 +20,7 @@ from torch.jit.mobile import (
 )
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 pytorch_test_dir = Path(__file__).resolve().parents[1]
 
 # script_module_v4.ptl and script_module_v5.ptl source code

test/mobile/test_lite_script_module.py

@@ -7,7 +7,6 @@ from typing import Dict, List
 
 import torch
 import torch.utils.bundled_inputs
-
 from torch.jit.mobile import _export_operator_list, _load_for_lite_interpreter
 from torch.testing import FileCheck
 from torch.testing._internal.common_quantization import (

test/mobile/test_lite_script_type.py

@@ -7,7 +7,6 @@ from typing import Dict, List, NamedTuple
 
 import torch
 import torch.utils.bundled_inputs
-
 from torch.jit.mobile import _load_for_lite_interpreter
 from torch.testing._internal.common_utils import run_tests, TestCase
 

test/mobile/test_upgrader_codegen.py

@@ -6,9 +6,9 @@ from pathlib import Path
 
 from torch.jit.generate_bytecode import generate_upgraders_bytecode
 from torch.testing._internal.common_utils import run_tests, TestCase
-
 from torchgen.operator_versions.gen_mobile_upgraders import sort_upgrader, write_cpp
 
+
 pytorch_caffe2_dir = Path(__file__).resolve().parents[2]
 
 

test/mobile/test_upgraders.py

@@ -6,10 +6,10 @@ from pathlib import Path
 
 import torch
 import torch.utils.bundled_inputs
-
 from torch.jit.mobile import _load_for_lite_interpreter
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 pytorch_test_dir = Path(__file__).resolve().parents[1]
 
 

test/nn/test_convolution.py

@@ -6,12 +6,10 @@ import warnings
 from itertools import product
 
 import torch
-
 import torch.autograd.forward_ad as fwAD
 import torch.backends.cudnn as cudnn
 import torch.nn as nn
 import torch.nn.functional as F
-
 from torch.testing import make_tensor
 from torch.testing._internal.common_cuda import (
     TEST_CUDA,
@@ -62,6 +60,7 @@ from torch.testing._internal.common_utils import (
     TEST_WITH_ROCM,
 )
 
+
 AMPERE_OR_ROCM = TEST_WITH_ROCM or tf32_is_not_fp32()
 
 

test/nn/test_embedding.py

@@ -19,7 +19,6 @@ from torch.testing._internal.common_device_type import (
     skipMeta,
     TEST_WITH_ROCM,
 )
-
 from torch.testing._internal.common_nn import NNTestCase
 from torch.testing._internal.common_utils import (
     _assertGradAndGradgradChecks,

test/nn/test_init.py

@@ -9,7 +9,6 @@ from operator import mul
 import torch
 import torch.nn.functional as F
 import torch.nn.init as init
-
 from torch.testing._internal.common_utils import (
     run_tests,
     skipIfNoLapack,
@@ -19,6 +18,7 @@ from torch.testing._internal.common_utils import (
     TestCase,
 )
 
+
 if TEST_SCIPY:
     from scipy import stats
 

test/nn/test_load_state_dict.py

@@ -19,6 +19,7 @@ from torch.testing._internal.common_utils import (
 )
 from torch.utils._pytree import tree_map
 
+
 if TEST_NUMPY:
     import numpy as np
 

test/nn/test_module_hooks.py

@@ -7,7 +7,6 @@ import warnings
 import weakref
 from collections import namedtuple, OrderedDict
 from copy import deepcopy
-
 from functools import partial
 from tempfile import NamedTemporaryFile
 from typing import Any, Dict, List, Tuple

test/nn/test_multihead_attention.py

@@ -6,7 +6,6 @@ import unittest.mock as mock
 
 import torch
 import torch.nn as nn
-
 from torch.nn import MultiheadAttention
 from torch.testing._internal.common_device_type import (
     dtypes,
@@ -22,6 +21,7 @@ from torch.testing._internal.common_utils import (
     TEST_WITH_CROSSREF,
 )
 
+
 if TEST_NUMPY:
     import numpy as np
 

test/nn/test_parametrization.py

@@ -4,7 +4,6 @@ from copy import deepcopy
 from itertools import product
 
 import torch
-
 import torch.nn as nn
 import torch.nn.functional as F
 import torch.nn.init as init

test/nn/test_pooling.py

@@ -13,7 +13,6 @@ from itertools import repeat
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
-
 from torch import inf, nan
 from torch.autograd import gradcheck, gradgradcheck
 from torch.testing import make_tensor

test/nn/test_pruning.py

@@ -4,7 +4,6 @@ import unittest
 import unittest.mock as mock
 
 import torch
-
 import torch.nn as nn
 import torch.nn.utils.prune as prune
 from torch.testing._internal.common_nn import NNTestCase

test/onnx/dynamo/test_dynamo_with_onnxruntime_backend.py

@@ -20,10 +20,10 @@ from torch.onnx import (
     _OrtBackendOptions as OrtBackendOptions,
     ExportOptions,
 )
-
 from torch.testing._internal import common_utils
 from torch.testing._internal.common_utils import skipIfNNModuleInlined
 
+
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 import onnx_test_common
 

test/onnx/dynamo/test_exporter_api.py

@@ -13,7 +13,6 @@ from torch.onnx._internal.exporter import (
     ProtobufONNXProgramSerializer,
     ResolvedExportOptions,
 )
-
 from torch.testing._internal import common_utils
 
 

test/onnx/dynamo/test_registry_dispatcher.py

@@ -21,6 +21,7 @@ from torch.onnx._internal.fx import (
 )
 from torch.testing._internal import common_utils
 
+
 # TODO: this can only be global. https://github.com/microsoft/onnxscript/issues/805
 TCustomFloat = TypeVar("TCustomFloat", bound=Union[FLOAT16, FLOAT, DOUBLE, BFLOAT16])
 

test/onnx/error_reproduction.py

@@ -17,6 +17,7 @@ import onnxscript
 
 import torch
 
+
 _MISMATCH_MARKDOWN_TEMPLATE = """\
 ### Summary
 

test/onnx/internal/test_diagnostics.py

@@ -16,6 +16,7 @@ from torch.onnx._internal.diagnostics.infra import formatter, sarif
 from torch.onnx._internal.fx import diagnostics as fx_diagnostics
 from torch.testing._internal import common_utils, logging_utils
 
+
 if typing.TYPE_CHECKING:
     import unittest
 

test/onnx/model_defs/dcgan.py

@@ -1,6 +1,7 @@
 import torch
 import torch.nn as nn
 
+
 # configurable
 bsz = 64
 imgsz = 64

test/onnx/onnx_test_common.py

@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import contextlib
-
 import copy
 import dataclasses
 import io
@@ -26,7 +25,6 @@ from typing import (
 )
 
 import numpy as np
-
 import onnxruntime
 import pytest
 import pytorch_test_common
@@ -39,6 +37,7 @@ from torch.testing._internal import common_utils
 from torch.testing._internal.opinfo import core as opinfo_core
 from torch.types import Number
 
+
 _NumericType = Union[Number, torch.Tensor, np.ndarray]
 _ModelType = Union[torch.nn.Module, Callable, torch_export.ExportedProgram]
 _InputArgsType = Optional[

test/onnx/pytorch_test_common.py

@@ -18,6 +18,7 @@ from torch.autograd import function
 from torch.onnx._internal import diagnostics
 from torch.testing._internal import common_utils
 
+
 pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
 sys.path.insert(-1, pytorch_test_dir)
 

test/onnx/test_export_modes.py

@@ -11,6 +11,7 @@ import torch.nn as nn
 from torch.autograd import Variable
 from torch.onnx import OperatorExportTypes
 
+
 # Make the helper files in test/ importable
 pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
 sys.path.append(pytorch_test_dir)

test/onnx/test_fx_op_consistency.py

@@ -50,9 +50,7 @@ from typing import (
 )
 
 import error_reproduction
-
 import onnx_test_common
-
 import parameterized
 import pytest
 import pytorch_test_common

test/onnx/test_fx_passes.py

@@ -4,7 +4,6 @@ import pytorch_test_common
 import torch
 import torch._dynamo
 import torch.fx
-
 from torch.onnx._internal.fx.passes import _utils as pass_utils
 from torch.testing._internal import common_utils
 

test/onnx/test_fx_to_onnx.py

@@ -2,13 +2,12 @@
 from __future__ import annotations
 
 import logging
-
 import tempfile
-
 from typing import Mapping, Tuple
 
 import onnx
 import onnx.inliner
+
 import pytorch_test_common
 import transformers  # type: ignore[import]
 

test/onnx/test_fx_to_onnx_decomp_skip.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 
 import onnx
 import onnx.inliner
+
 import pytorch_test_common
 
 import torch

test/onnx/test_fx_to_onnx_with_onnxruntime.py

@@ -7,20 +7,17 @@ import operator
 import os
 import tempfile
 import unittest
-
 from typing import Any, Callable, Dict, List, Mapping, Optional, Tuple, Type
 
 import onnx_test_common
 import onnxruntime  # type: ignore[import]
 import parameterized  # type: ignore[import]
 import pytorch_test_common
-
 import transformers  # type: ignore[import]
 
 import torch
 import torch.onnx
 from torch import nn
-
 from torch._subclasses import fake_tensor
 from torch.onnx._internal import exporter
 from torch.onnx._internal.fx import (
@@ -31,6 +28,7 @@ from torch.onnx._internal.fx import (
 )
 from torch.testing._internal import common_utils
 
+
 try:
     import torchvision  # type: ignore[import]
 

test/onnx/test_models.py

@@ -31,6 +31,7 @@ from torch.onnx import OperatorExportTypes
 from torch.testing._internal import common_utils
 from torch.testing._internal.common_utils import skipIfNoLapack
 
+
 if torch.cuda.is_available():
 
     def toC(x):

test/onnx/test_onnx_opset.py

@@ -4,6 +4,7 @@ import io
 import itertools
 
 import onnx
+
 import pytorch_test_common
 
 import torch

test/onnx/test_onnxscript_no_runtime.py

@@ -5,6 +5,7 @@ import io
 from typing import List
 
 import onnx
+
 import onnxscript
 from onnxscript.onnx_types import FLOAT
 

test/onnx/test_op_consistency.py

@@ -40,6 +40,7 @@ from torch.testing._internal import (
     common_utils,
 )
 
+
 OPS_DB = copy.deepcopy(common_methods_invocations.op_db)
 
 # Modify this section ##########################################################

test/onnx/test_operators.py

@@ -41,6 +41,7 @@ from torch.onnx.symbolic_helper import (
 from torch.testing._internal import common_utils
 from torch.testing._internal.common_utils import skipIfNoLapack
 
+
 unittest.TestCase.maxDiff = None
 
 _onnx_test = False  # flag to produce onnx test cases.

test/onnx/test_pytorch_onnx_no_runtime.py

@@ -13,6 +13,7 @@ import warnings
 from typing import Callable, Dict, Iterable, List, Optional, Tuple, Union
 
 import numpy as np
+
 import onnx
 import onnx.numpy_helper
 import pytorch_test_common

test/onnx/test_pytorch_onnx_onnxruntime.py

@@ -3,7 +3,6 @@
 from __future__ import annotations
 
 import functools
-
 import io
 import itertools
 import os
@@ -12,6 +11,7 @@ from collections import OrderedDict
 from typing import Dict, List, Optional, Tuple, Type, Union
 
 import numpy as np
+
 import onnx
 import onnx_test_common
 import parameterized
@@ -38,7 +38,6 @@ from pytorch_test_common import (
 )
 
 import torch
-
 from torch import Tensor
 from torch.nn.utils import rnn as rnn_utils
 from torch.onnx import errors, verification

test/onnx/test_pytorch_onnx_onnxruntime_cuda.py

@@ -3,7 +3,6 @@
 import unittest
 
 import onnx_test_common
-
 import onnxruntime  # noqa: F401
 import parameterized
 from onnx_test_common import MAX_ONNX_OPSET_VERSION, MIN_ONNX_OPSET_VERSION

test/onnx/test_pytorch_onnx_shape_inference.py

@@ -3,6 +3,7 @@
 import io
 
 import numpy as np
+
 import onnx
 import pytorch_test_common
 from pytorch_test_common import skipIfUnsupportedMinOpsetVersion

test/onnx/test_utility_funs.py

@@ -8,6 +8,7 @@ import warnings
 from typing import Callable
 
 import onnx
+
 import parameterized
 import pytorch_test_common
 import torchvision

test/onnx/test_verification.py

@@ -6,6 +6,7 @@ import tempfile
 import unittest
 
 import numpy as np
+
 import onnx
 import parameterized
 import pytorch_test_common

test/onnx/torch_export/test_torch_export_with_onnxruntime.py

@@ -6,10 +6,10 @@ import sys
 
 import torch
 import torch.onnx
-
 from torch.testing._internal import common_utils
 from torch.utils import _pytree as torch_pytree
 
+
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 import onnx_test_common
 

test/onnx/verify.py

@@ -2,6 +2,7 @@ import difflib
 import io
 
 import numpy as np
+
 import onnx
 import onnx.helper
 

test/optim/test_lrscheduler.py

@@ -39,6 +39,7 @@ from torch.testing._internal.common_utils import (
     TestCase,
 )
 
+
 # load_tests from common_utils is used to automatically filter tests for
 # sharding on sandcastle. This line silences flake warnings
 load_tests = load_tests

test/optim/test_swa_utils.py

@@ -17,6 +17,7 @@ from torch.testing._internal.common_utils import (
     TestCase,
 )
 
+
 # load_tests from common_utils is used to automatically filter tests for
 # sharding on sandcastle. This line silences flake warnings
 load_tests = load_tests

test/package/generate_bc_packages.py

@@ -5,6 +5,7 @@ from torch.fx import symbolic_trace
 from torch.package import PackageExporter
 from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE
 
+
 packaging_directory = f"{Path(__file__).parent}/package_bc"
 torch.package.package_exporter._gate_torchscript_serialization = False
 

test/package/package_a/test_module.py

@@ -3,6 +3,7 @@
 import torch
 from torch.fx import wrap
 
+
 wrap("a_non_torch_leaf")
 
 

test/package/package_c/test_module.py

@@ -2,6 +2,7 @@
 
 import torch
 
+
 try:
     from torchvision.models import resnet18
 

test/package/test_analyze.py

@@ -4,6 +4,7 @@ import torch
 from torch.package import analyze
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_dependency_api.py

@@ -7,11 +7,11 @@ from textwrap import dedent
 from unittest import skipIf
 
 import torch.nn
-
 from torch.package import EmptyMatchError, Importer, PackageExporter, PackageImporter
 from torch.package.package_exporter import PackagingError
 from torch.testing._internal.common_utils import IS_WINDOWS, run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_dependency_hooks.py

@@ -5,6 +5,7 @@ from io import BytesIO
 from torch.package import PackageExporter
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_digraph.py

@@ -3,6 +3,7 @@
 from torch.package._digraph import DiGraph
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_directory_reader.py

@@ -16,6 +16,7 @@ from torch.testing._internal.common_utils import (
     run_tests,
 )
 
+
 try:
     from torchvision.models import resnet18
 
@@ -33,6 +34,7 @@ except ImportError:
 
 from pathlib import Path
 
+
 packaging_directory = Path(__file__).parent
 
 

test/package/test_glob_group.py

@@ -5,6 +5,7 @@ from typing import Iterable
 from torch.package import GlobGroup
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_importer.py

@@ -12,6 +12,7 @@ from torch.package import (
 )
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_load_bc_packages.py

@@ -6,6 +6,7 @@ from unittest import skipIf
 from torch.package import PackageImporter
 from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_mangling.py

@@ -11,6 +11,7 @@ from torch.package._mangling import (
 )
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_misc.py

@@ -18,6 +18,7 @@ from torch.testing._internal.common_utils import (
     skipIfTorchDynamo,
 )
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_model.py

@@ -8,6 +8,7 @@ import torch
 from torch.package import PackageExporter, PackageImporter, sys_importer
 from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
 
+
 try:
     from torchvision.models import resnet18
 

test/package/test_package_fx.py

@@ -12,6 +12,7 @@ from torch.package import (
 )
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_package_script.py

@@ -8,6 +8,7 @@ import torch
 from torch.package import PackageExporter, PackageImporter
 from torch.testing._internal.common_utils import IS_FBCODE, IS_SANDCASTLE, run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_repackage.py

@@ -5,6 +5,7 @@ from io import BytesIO
 from torch.package import PackageExporter, PackageImporter, sys_importer
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_resources.py

@@ -8,6 +8,7 @@ from unittest import skipIf
 from torch.package import PackageExporter, PackageImporter
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:

test/package/test_save_load.py

@@ -7,6 +7,7 @@ from textwrap import dedent
 from torch.package import PackageExporter, PackageImporter, sys_importer
 from torch.testing._internal.common_utils import run_tests
 
+
 try:
     from .common import PackageTestCase
 except ImportError:
@@ -15,6 +16,7 @@ except ImportError:
 
 from pathlib import Path
 
+
 packaging_directory = Path(__file__).parent
 
 

test/profiler/test_execution_trace.py

@@ -33,7 +33,6 @@ from torch.profiler import (
     record_function,
     supported_activities,
 )
-
 from torch.testing._internal.common_cuda import TEST_CUDA
 from torch.testing._internal.common_utils import (
     IS_WINDOWS,
@@ -41,9 +40,9 @@ from torch.testing._internal.common_utils import (
     skipIfTorchDynamo,
     TestCase,
 )
-
 from torch.utils._triton import has_triton
 
+
 Json = Dict[str, Any]
 
 

test/profiler/test_profiler_tree.py

@@ -21,6 +21,7 @@ from torch.testing._internal.common_utils import (
 )
 from torch.utils._pytree import tree_map
 
+
 # These functions can vary from based on platform and build (e.g. with CUDA)
 # and generally distract from rather than adding to the test.
 PRUNE_ALL = 1

test/profiler/test_record_function.py

@@ -27,6 +27,7 @@ from torch.autograd.profiler import profile as _profile
 from torch.profiler import kineto_available, record_function
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 Json = Dict[str, Any]
 
 

test/profiler/test_torch_tidy.py

@@ -28,6 +28,7 @@ from torch._C._profiler import _TensorMetadata
 from torch.profiler import _utils, profile
 from torch.testing._internal.common_utils import run_tests, TestCase
 
+
 Json = Dict[str, Any]
 
 from torch._C._profiler import _ExtraFields_PyCall

tools/linter/adapters/ufmt_linter.py

@@ -45,7 +45,6 @@ ISORT_SKIPLIST = re.compile(
                     # test/j*/**
                     "test/j*/**",
                     # test/[k-p]*/**
-                    "test/[k-p]*/**",
                     # test/[q-z]*/**
                     "test/[q-z]*/**",
                     # torch/**