build(deps): bump mypy from 1.11.0 to 1.15.0 in /requirements

requirements/typing.txt

@@ -1,4 +1,4 @@
-mypy==1.11.0
+mypy==1.15.0
 torch==2.7.0
 
 types-Markdown

src/lightning/fabric/fabric.py

@@ -367,8 +367,7 @@ def setup_dataloaders(
             )
             for dataloader in dataloaders
         ]
-        dataloaders = dataloaders[0] if len(dataloaders) == 1 else dataloaders
-        return dataloaders  # type: ignore[return-value]
+        return dataloaders[0] if len(dataloaders) == 1 else dataloaders
 
     def _setup_dataloader(
         self, dataloader: DataLoader, use_distributed_sampler: bool = True, move_to_device: bool = True

src/lightning/pytorch/callbacks/lr_monitor.py

@@ -251,13 +251,13 @@ def _remap_keys(self, names: list[list[str]], token: str = "/pg1") -> None:
                 elif new_name not in self.lrs:
                     self.lrs[new_name] = []
 
-    def _extract_momentum(self, param_group: dict[str, list], name: str, use_betas: bool) -> dict[str, float]:
+    def _extract_momentum(self, param_group: dict[str, list[float]], name: str, use_betas: bool) -> dict[str, float]:
         if not self.log_momentum:
             return {}
 
         momentum = param_group["betas"][0] if use_betas else param_group.get("momentum", 0)
-        self.last_momentum_values[name] = momentum
-        return {name: momentum}
+        self.last_momentum_values[name] = momentum  # type: ignore[assignment]
+        return {name: momentum}  # type: ignore[dict-item]
 
     def _extract_weight_decay(self, param_group: dict[str, Any], name: str) -> dict[str, Any]:
         """Extracts the weight decay statistics from a parameter group."""

src/lightning/pytorch/core/saving.py

@@ -184,7 +184,7 @@ def _load_state(
         obj.on_load_checkpoint(checkpoint)
 
     # load the state_dict on the model automatically
-    keys = obj.load_state_dict(checkpoint["state_dict"], strict=strict)
+    keys = obj.load_state_dict(checkpoint["state_dict"], strict=strict)  # type: ignore[arg-type]
 
     if not strict:
         if keys.missing_keys:

src/lightning/pytorch/trainer/connectors/logger_connector/result.py

@@ -92,7 +92,7 @@ def _generate_sync_fn(self) -> None:
         fn = self.no_op if self.fn is None or not self.should or self.rank_zero_only else self.fn
         # save the function as `_fn` as the meta are being re-created and the object references need to match.
         # ignore typing, bad support for `partial`: mypy/issues/1484
-        self._fn: Callable = partial(fn, reduce_op=self.op, group=self.group)  # type: ignore[arg-type,operator,misc]
+        self._fn: Callable = partial(fn, reduce_op=self.op, group=self.group)  # type: ignore[unused-ignore]
 
     @property
     def __call__(self) -> Any: