[BE][Easy][1/19] enforce style for empty lines in import segments (#129752)

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/129752
Approved by: https://github.com/ezyang, https://github.com/malfet

.circleci/codegen_validation/normalize_yaml_fragment.py

@@ -5,6 +5,7 @@ import sys
 
 import yaml
 
+
 # Need to import modules that lie on an upward-relative path
 sys.path.append(os.path.join(sys.path[0], ".."))
 

.circleci/scripts/trigger_azure_pipeline.py

@@ -8,6 +8,7 @@ import time
 
 import requests
 
+
 AZURE_PIPELINE_BASE_URL = "https://aiinfra.visualstudio.com/PyTorch/"
 AZURE_DEVOPS_PAT_BASE64 = os.environ.get("AZURE_DEVOPS_PAT_BASE64_SECRET", "")
 PIPELINE_ID = "911"

android/pytorch_android/generate_test_torchscripts.py

@@ -3,6 +3,7 @@ from typing import Dict, List, Optional, Tuple
 import torch
 from torch import Tensor
 
+
 OUTPUT_DIR = "src/androidTest/assets/"
 
 

android/test_app/make_assets.py

@@ -2,6 +2,7 @@ from torchvision import models
 
 import torch
 
+
 print(torch.version.__version__)
 
 resnet18 = models.resnet18(weights=models.ResNet18_Weights.IMAGENET1K_V1)

android/test_app/make_assets_custom.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()

aten/src/ATen/native/quantized/cpu/qnnpack/deps/clog/configure.py

@@ -8,6 +8,7 @@
 
 import confu
 
+
 parser = confu.standard_parser("clog configuration script")
 
 

aten/src/ATen/native/transformers/cuda/flash_attn/kernels/generate_kernels.py

@@ -7,6 +7,7 @@ from dataclasses import dataclass
 from pathlib import Path
 from typing import List, Optional
 
+
 DTYPE_MAP = {
     "fp16": "cutlass::half_t",
     "bf16": "cutlass::bfloat16_t",

aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/generate_kernels.py

@@ -15,6 +15,7 @@ from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Dict, List, Optional, Tuple, TypeVar
 
+
 DTYPES = {
     "f32": "float",
     "f16": "cutlass::half_t",

docs/cpp/source/conf.py

@@ -18,11 +18,13 @@
 # NB: C++ API doc generation using doxygen / breathe / exhale is currently only
 # enabled on nightlies (and not trunk or on PRs) due to OOM errors in CI.
 # See https://github.com/pytorch/pytorch/issues/79992.
+
 import os
+import textwrap
+
 
 # sys.path.insert(0, os.path.abspath('.'))
 
-import textwrap
 
 # -- General configuration ------------------------------------------------
 

docs/source/conf.py

@@ -24,9 +24,9 @@ from os import path
 
 # source code directory, relative to this file, for sphinx-autobuild
 # sys.path.insert(0, os.path.abspath('../..'))
-
 import torch
 
+
 try:
     import torchvision  # noqa: F401
 except ImportError:
@@ -38,6 +38,7 @@ RELEASE = os.environ.get("RELEASE", False)
 
 import pytorch_sphinx_theme
 
+
 # -- General configuration ------------------------------------------------
 
 # If your documentation needs a minimal Sphinx version, state it here.
@@ -3475,6 +3476,7 @@ html_css_files = [
 
 from sphinx.ext.coverage import CoverageBuilder
 
+
 # NB: Due to some duplications of the following modules/functions, we keep
 # them as expected failures for the time being instead of return 1
 ignore_duplicated_modules = {
@@ -3722,11 +3724,11 @@ import sphinx.ext.doctest
 
 # -- A patch that prevents Sphinx from cross-referencing ivar tags -------
 # See http://stackoverflow.com/a/41184353/3343043
-
 from docutils import nodes
 from sphinx import addnodes
 from sphinx.util.docfields import TypedField
 
+
 # Without this, doctest adds any example with a `>>>` as a test
 doctest_test_doctest_blocks = ""
 doctest_default_flags = sphinx.ext.doctest.doctest.ELLIPSIS

docs/source/scripts/build_activation_images.py

@@ -11,6 +11,7 @@ from matplotlib import pyplot as plt
 
 import torch
 
+
 matplotlib.use("Agg")
 
 

docs/source/scripts/build_opsets.py

@@ -4,9 +4,9 @@ from pathlib import Path
 
 import torch
 import torch._prims as prims
-
 from torchgen.gen import parse_native_yaml
 
+
 ROOT = Path(__file__).absolute().parent.parent.parent.parent
 NATIVE_FUNCTION_YAML_PATH = ROOT / Path("aten/src/ATen/native/native_functions.yaml")
 TAGS_YAML_PATH = ROOT / Path("aten/src/ATen/native/tags.yaml")

docs/source/scripts/exportdb/generate_example_rst.py

@@ -5,7 +5,6 @@ from pathlib import Path
 
 import torch
 import torch._dynamo as torchdynamo
-
 from torch._export.db.case import ExportCase
 from torch._export.db.examples import all_examples
 from torch.export import export

docs/source/scripts/onnx/build_onnx_torchscript_supported_aten_op_csv_table.py

@@ -8,6 +8,7 @@ import os
 
 from torch.onnx import _onnx_supported_ops
 
+
 # Constants
 BUILD_DIR = "build/onnx"
 SUPPORTED_OPS_CSV_FILE = "auto_gen_supported_op_list.csv"

ios/TestApp/benchmark/coreml_backend.py

@@ -1,7 +1,6 @@
 from torchvision import models
 
 import torch
-
 from torch.backends._coreml.preprocess import CompileSpec, CoreMLComputeUnit, TensorSpec
 
 

ios/TestApp/benchmark/trace_model.py

@@ -3,6 +3,7 @@ from torchvision import models
 import torch
 from torch.utils.mobile_optimizer import optimize_for_mobile
 
+
 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
 model.eval()
 example = torch.rand(1, 3, 224, 224)

ios/TestApp/custom_build/custom_build.py

@@ -3,6 +3,7 @@ from torchvision import models
 
 import torch
 
+
 model = models.mobilenet_v2(weights=models.MobileNet_V2_Weights.IMAGENET1K_V1)
 model.eval()
 example = torch.rand(1, 3, 224, 224)

ios/TestApp/run_on_aws_devicefarm.py

@@ -12,6 +12,7 @@ from typing import Any
 import boto3
 import requests
 
+
 POLLING_DELAY_IN_SECOND = 5
 MAX_UPLOAD_WAIT_IN_SECOND = 600
 

scripts/analysis/format_test_csv.py

@@ -20,6 +20,7 @@ import csv
 import subprocess
 import sys
 
+
 parser = argparse.ArgumentParser(
     description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
 )

scripts/compile_tests/common.py

@@ -2,6 +2,7 @@ import functools
 import os
 import warnings
 
+
 try:
     import lxml.etree
 

scripts/compile_tests/failures_histogram.py

@@ -2,7 +2,6 @@ import argparse
 import re
 
 from common import download_reports, get_testcases, key, open_test_results, skipped_test
-
 from passrate import compute_pass_rate
 
 

scripts/compile_tests/passrate.py

@@ -7,9 +7,9 @@ from common import (
     key,
     open_test_results,
 )
-
 from download_reports import download_reports
 
+
 """
 Usage: passrate.py commit_sha
 

scripts/compile_tests/update_failures.py

@@ -12,9 +12,9 @@ from common import (
     key,
     open_test_results,
 )
-
 from download_reports import download_reports
 
+
 """
 Usage: update_failures.py /path/to/dynamo_test_failures.py /path/to/test commit_sha
 

scripts/diagnose_protobuf.py

@@ -17,6 +17,7 @@ import os
 import re
 from subprocess import PIPE, Popen
 
+
 # Get python protobuf version.
 try:
     import google.protobuf

scripts/export/update_schema.py

@@ -5,6 +5,7 @@ from yaml import dump, Dumper
 
 from torch._export.serde import schema_check
 
+
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(prog="update_schema")
     parser.add_argument(

scripts/get_python_cmake_flags.py

@@ -16,6 +16,7 @@
 import sys
 import sysconfig
 
+
 flags = [
     f"-DPython_EXECUTABLE:FILEPATH={sys.executable}",
 ]

scripts/jit/log_extract.py

@@ -11,6 +11,7 @@ from torch.utils.jit.log_extract import (
     run_nvfuser,
 )
 
+
 """
 Usage:
 1. Run your script and pipe into a log file

scripts/release_notes/apply_categories.py

@@ -6,6 +6,7 @@ import csv
 
 import commitlist
 
+
 category_csv = "results/category_data.csv"
 commitlist_csv = "results/commitlist.csv"
 

scripts/release_notes/namespace_check.py

@@ -4,6 +4,7 @@ from os import path
 
 import torch
 
+
 # Import all utils so that getattr below can find them
 
 all_submod_list = [

setup.py

@@ -201,6 +201,7 @@
 import os
 import sys
 
+
 if sys.platform == "win32" and sys.maxsize.bit_length() == 31:
     print(
         "32-bit Windows Python runtime is not supported. Please switch to 64-bit Python."
@@ -209,6 +210,7 @@ if sys.platform == "win32" and sys.maxsize.bit_length() == 31:
 
 import platform
 
+
 BUILD_LIBTORCH_WHL = os.getenv("BUILD_LIBTORCH_WHL", "0") == "1"
 BUILD_PYTHON_ONLY = os.getenv("BUILD_PYTHON_ONLY", "0") == "1"
 
@@ -236,7 +238,6 @@ import setuptools.command.install
 import setuptools.command.sdist
 from setuptools import Extension, find_packages, setup
 from setuptools.dist import Distribution
-
 from tools.build_pytorch_libs import build_caffe2
 from tools.generate_torch_version import get_torch_version
 from tools.setup_helpers.cmake import CMake

tools/linter/adapters/ufmt_linter.py

@@ -29,7 +29,6 @@ ISORT_WHITELIST = re.compile(
                 fnmatch.translate,
                 [
                     # **
-                    "**",
                     # .ci/**
                     ".ci/**",
                     # .github/**