[BE][Ez]: Update ruff to 0.12.2 (#157937)

Updates to the latest version of ruff and apply some fixes that it flagged and silence a few new lints

Pull Request resolved: https://github.com/pytorch/pytorch/pull/157937
Approved by: https://github.com/ezyang

.lintrunner.toml

@@ -1462,7 +1462,7 @@ init_command = [
     'black==23.12.1',
     'usort==1.0.8.post1',
     'isort==6.0.1',
-    'ruff==0.11.13',  # sync with RUFF
+    'ruff==0.12.2',  # sync with RUFF
 ]
 is_formatter = true
 
@@ -1597,7 +1597,7 @@ init_command = [
     'python3',
     'tools/linter/adapters/pip_init.py',
     '--dry-run={{DRYRUN}}',
-    'ruff==0.11.13',  # sync with PYFMT
+    'ruff==0.12.2',  # sync with PYFMT
 ]
 is_formatter = true
 

pyproject.toml

@@ -130,6 +130,7 @@ ignore = [
     "E741",
     "EXE001",
     "F405",
+    "FURB122", # writelines
     # these ignores are from flake8-logging-format; please fix!
     "G101",
     # these ignores are from ruff NPY; please fix!
@@ -152,6 +153,7 @@ ignore = [
     "SIM117",
     "SIM118",
     "UP007", # keep-runtime-typing
+    "UP045", # keep-runtime-typing
     "TC006",
 ]
 select = [
@@ -233,6 +235,10 @@ select = [
     "YTT",
 ]
 
+[tool.ruff.lint.pyupgrade]
+# Preserve types, even if a file imports `from __future__ import annotations`.
+keep-runtime-typing = true
+
 [tool.ruff.lint.per-file-ignores]
 "__init__.py" = [
     "F401",

test/quantization/fx/test_quantize_fx.py

@@ -6648,7 +6648,7 @@ class TestQuantizeFx(QuantizationTestCase):
             """
 
             def __init__(self, input_dim, output_dim):
-                super(__class__, self).__init__()
+                super().__init__()
                 self.w = nn.Parameter(torch.randn(input_dim, output_dim))
                 self.b = nn.Parameter(torch.randn(input_dim))
 
@@ -6661,7 +6661,7 @@ class TestQuantizeFx(QuantizationTestCase):
             """
 
             def __init__(self, input_dim, hidden_dim, output_dim):
-                super(__class__, self).__init__()
+                super().__init__()
                 self.submodule_1 = SubModule(hidden_dim, input_dim)
                 setattr(self, 'submodule|2', SubModule(hidden_dim, hidden_dim))
                 setattr(self, 'submodule/3', SubModule(hidden_dim, hidden_dim))

torch/_inductor/select_algorithm.py

@@ -2597,11 +2597,14 @@ class AlgorithmSelectorCache(PersistentCache):
                             "Exception %s for benchmark choice %s",
                             e,
                             futures[future],
-                            exc_info=True,
+                            exc_info=e,
                         )
                     else:
-                        log.error(
-                            "Exception %s for benchmark choice %s", e, futures[future]
+                        log.exception(  # noqa: G202
+                            "Exception %s for benchmark choice %s",
+                            e,
+                            futures[future],
+                            exc_info=e,
                         )
                 else:
                     counters["inductor"]["select_algorithm_num_precompiles"] += 1

torch/package/_stdlib.py

@@ -17,12 +17,12 @@ def is_stdlib_module(module: str) -> bool:
 
 
 def _get_stdlib_modules():
-    if sys.version_info.major == 3:
+    if sys.version_info.major == 3:  # noqa: UP036
         if sys.version_info.minor == 9:
             return stdlib3_9
         if sys.version_info.minor >= 10:  # noqa: YTT204
             return sys.stdlib_module_names  # type: ignore[attr-defined]
-    elif sys.version_info.major > 3:
+    elif sys.version_info.major > 3:  # noqa: UP036
         return sys.stdlib_module_names  # type: ignore[attr-defined]
 
     raise RuntimeError(f"Unsupported Python version: {sys.version_info}")