[BE]: Enable ruff rules PIE807 and PIE810 (#106218)

* Enables PIE807 + PIE810. PIE807 is do not reimplement list builtin function using lambda and PIE810 is to always fuse startswith / endswith calls (I applied the autofixes for this before we had ruff enabled).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/106218
Approved by: https://github.com/albanD

.github/scripts/gitutils.py

@@ -38,7 +38,7 @@ def fuzzy_list_to_dict(items: List[Tuple[str, str]]) -> Dict[str, List[str]]:
     """
     Converts list to dict preserving elements with duplicate keys
     """
-    rc: Dict[str, List[str]] = defaultdict(lambda: [])
+    rc: Dict[str, List[str]] = defaultdict(list)
     for key, val in items:
         rc[key].append(val)
     return dict(rc)

pyproject.toml

@@ -71,6 +71,8 @@ select = [
     "UP",
     "PERF",
     "PGH004",
+    "PIE807",
+    "PIE810",
     "PLE",
     "TRY302",
 ]

torch/_export/db/case.py

@@ -78,7 +78,7 @@ class ExportCase:
     # Tags associated with the use case. (e.g dynamic-shape, escape-hatch)
     tags: Set[str] = field(default_factory=lambda: set())
     support_level: SupportLevel = SupportLevel.SUPPORTED
-    constraints: List[Constraint] = field(default_factory=lambda: [])
+    constraints: List[Constraint] = field(default_factory=list)
 
     def __post_init__(self):
         check_inputs_type(self.example_inputs)

torchgen/gen.py

@@ -1846,13 +1846,13 @@ def gen_per_operator_headers(
 ) -> None:
     # For CMake builds, split operator declarations into separate headers in
     # the ATen/ops folder to split up header dependencies
-    functions_by_root_name: Dict[str, List[NativeFunction]] = defaultdict(lambda: [])
+    functions_by_root_name: Dict[str, List[NativeFunction]] = defaultdict(list)
     for fn in native_functions:
         functions_by_root_name[fn.root_name].append(fn)
 
     grouped_functions_by_root_name: Dict[
         str, List[Union[NativeFunction, NativeFunctionsGroup]]
-    ] = defaultdict(lambda: [])
+    ] = defaultdict(list)
     for group in grouped_native_functions:
         name = group.root_name
         grouped_functions_by_root_name[name].append(group)