Merge pull request #714 from mit-ll-responsible-ai/dependabot/pip/dep…

…s/main/pyright-1.1.374

Bump pyright from 1.1.371 to 1.1.374 in /deps

deps/requirements-pyright.txt

@@ -1 +1 @@
-pyright==1.1.371
+pyright==1.1.374

docs/source/explanation/hydrated_dataclass.rst

@@ -17,7 +17,7 @@ configured fields, and flag bad inputs in our code. That this config is immutabl
 
    from hydra_zen import hydrated_dataclass 
 
-   from torch.optim import Adam
+   from torch.optim import Adam  # type: ignore
 
    @hydrated_dataclass(target=Adam, zen_partial=True, frozen=True)
    class BuildsAdam:

docs/source/tutorials/pytorch_lightning.rst

@@ -51,7 +51,7 @@ following code. Here, we define our single-layer neural network and the `lightni
    import torch as tr
    import torch.nn as nn
    import torch.nn.functional as F
-   from torch.optim import Optimizer
+   from torch.optim import Optimizer  # type: ignore
    from torch.utils.data import DataLoader, TensorDataset
    
    from hydra_zen.typing import Partial
@@ -156,7 +156,7 @@ and trainer. We'll also define the task function that trains and tests our model
    import pytorch_lightning as pl
    from hydra_zen import builds, make_config, make_custom_builds_fn, zen
    import torch as tr
-   from torch.optim import Adam
+   from torch.optim import Adam  # type: ignore
    from torch.utils.data import DataLoader
    
    from zen_model import UniversalFuncModule, train_and_eval, single_layer_nn

src/hydra_zen/structured_configs/_implementations.py

@@ -903,7 +903,7 @@ def _sanitized_type(
                 if has_ellipses:
                     return Tuple[_unique_type, ...]
                 else:
-                    return Tuple[(_unique_type,) * len(args)]  # type: ignore
+                    return Tuple[(_unique_type,) * len(args)]
 
             return Any
 

src/hydra_zen/typing/_builds_overloads.py

@@ -285,7 +285,7 @@ def __call__(
     ) -> Type[BuildsWithSig[Type[R], P]]: ...
 
     @overload
-    def __call__(
+    def __call__(  # pyright: ignore[reportOverlappingOverload]
         self,
         __hydra_target: Type[AnyBuilds[Importable]],
         *,

tests/annotations/declarations.py

@@ -564,19 +564,19 @@ def f(x: int, y: str, z: bool = False):
     # The following should be ok
     reveal_type(
         Conf_f(1, "hi"),
-        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = False)]",
+        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = ...)]",
     )
     reveal_type(
         Conf_f(1, "hi", True),
-        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = False)]",
+        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = ...)]",
     )
     reveal_type(
         Conf_f(1, y="hi"),
-        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = False)]",
+        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = ...)]",
     )
     reveal_type(
         Conf_f(x=1, y="hi", z=False),
-        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = False)]",
+        expected_text="BuildsWithSig[type[C], (x: int, y: str, z: bool = ...)]",
     )
 
     # check instantiation
@@ -727,7 +727,7 @@ def f(x: int, y: str, z: bool = False):
 
     reveal_type(
         Conf,
-        expected_text="type[BuildsWithSig[type[int], (x: int, y: str, z: bool = False)]]",
+        expected_text="type[BuildsWithSig[type[int], (x: int, y: str, z: bool = ...)]]",
     )