Merge pull request #610 from mit-ll-responsible-ai/bump-pyright-1p1p339

pyright compat

deps/requirements-pyright.txt

@@ -1 +1 @@
-pyright==1.1.337
+pyright==1.1.339

docs/source/how_to/use_callbacks.rst

@@ -44,18 +44,18 @@ add them to :ref:`Hydra's config <HydraConf>`.
 
    # Defining our callbacks
    class TimeIt(Callback):
-       def on_job_start(self, **kw) -> None:
+       def on_job_start(self, **kw) -> None:  # type: ignore
            self._start = time.time()
    
-       def on_job_end(self, **kw) -> None:
+       def on_job_end(self, **kw) -> None:  # type: ignore
            print(f"TimeIt: Took {round(time.time() - self._start, 2)} seconds")
    
    
    class UploadResultsCallback(Callback):
        def __init__(self, *, bucket: str = "s3:/") -> None:
            self.bucket = bucket
    
-       def on_job_end(self, config: Config, **kwargs) -> None:
+       def on_job_end(self, config: Config, **kwargs) -> None:  # type: ignore
            # Leverage access to the job's config to create a distinct file path.
            path = f"file_{config.x}.txt"
            print(f"UploadResultsCallback: Job ended, uploading results to {self.bucket}/{path}")

docs/source/tutorials/pytorch_lightning.rst

@@ -85,14 +85,14 @@ following code. Here, we define our single-layer neural network and the `lightni
    
            self.model = model
    
-       def forward(self, x):
+       def forward(self, x):  # type: ignore
            return self.model(x)
    
        def configure_optimizers(self):
            # provide optimizer with model parameters
            return self.optim(self.parameters())
    
-       def training_step(self, batch, batch_idx):
+       def training_step(self, batch, batch_idx):  # type: ignore
            x, y = batch
            # compute |cos(x) - model(x)|^2
            return F.mse_loss(self.model(x), y)

src/hydra_zen/typing/_implementations.py

@@ -439,7 +439,7 @@ class _Py312Dataclass(_Py311Dataclass, total=False):
 
 
 class StrictDataclassOptions(_StrictDataclassOptions):
-    cls_name: Required[str]
+    cls_name: Required[str]  # type: ignore
 
 
 class DataclassOptions(_Py312Dataclass, total=False):

src/hydra_zen/wrapper/_implementations.py

@@ -79,7 +79,7 @@
 _UNSPECIFIED_: Any = object()
 
 
-_SUPPORTED_INSTANTIATION_TYPES: Tuple[Any, ...] = (dict, DictConfig, list, ListConfig)  # type: ignore
+_SUPPORTED_INSTANTIATION_TYPES: Tuple[Any, ...] = (dict, DictConfig, list, ListConfig)
 
 ConfigLike: TypeAlias = Union[
     DataClass_,