Update .pre-commit-config.yaml (#11009)

* Update .pre-commit-config.yaml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update __init__.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update .pre-commit-config.yaml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Pre-commit updates

* Pre-commit updates

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

utils/triton.py

@@ -21,7 +21,7 @@ class TritonRemoteModel:
         """
 
         parsed_url = urlparse(url)
-        if parsed_url.scheme == "grpc":
+        if parsed_url.scheme == 'grpc':
             from tritonclient.grpc import InferenceServerClient, InferInput
 
             self.client = InferenceServerClient(parsed_url.netloc)  # Triton GRPC client
@@ -31,7 +31,7 @@ class TritonRemoteModel:
 
             def create_input_placeholders() -> typing.List[InferInput]:
                 return [
-                    InferInput(i['name'], [int(s) for s in i["shape"]], i['datatype']) for i in self.metadata['inputs']]
+                    InferInput(i['name'], [int(s) for s in i['shape']], i['datatype']) for i in self.metadata['inputs']]
 
         else:
             from tritonclient.http import InferenceServerClient, InferInput
@@ -43,14 +43,14 @@ class TritonRemoteModel:
 
             def create_input_placeholders() -> typing.List[InferInput]:
                 return [
-                    InferInput(i['name'], [int(s) for s in i["shape"]], i['datatype']) for i in self.metadata['inputs']]
+                    InferInput(i['name'], [int(s) for s in i['shape']], i['datatype']) for i in self.metadata['inputs']]
 
         self._create_input_placeholders_fn = create_input_placeholders
 
     @property
     def runtime(self):
         """Returns the model runtime"""
-        return self.metadata.get("backend", self.metadata.get("platform"))
+        return self.metadata.get('backend', self.metadata.get('platform'))
 
     def __call__(self, *args, **kwargs) -> typing.Union[torch.Tensor, typing.Tuple[torch.Tensor, ...]]:
         """ Invokes the model. Parameters can be provided via args or kwargs.
@@ -68,14 +68,14 @@ class TritonRemoteModel:
     def _create_inputs(self, *args, **kwargs):
         args_len, kwargs_len = len(args), len(kwargs)
         if not args_len and not kwargs_len:
-            raise RuntimeError("No inputs provided.")
+            raise RuntimeError('No inputs provided.')
         if args_len and kwargs_len:
-            raise RuntimeError("Cannot specify args and kwargs at the same time")
+            raise RuntimeError('Cannot specify args and kwargs at the same time')
 
         placeholders = self._create_input_placeholders_fn()
         if args_len:
             if args_len != len(placeholders):
-                raise RuntimeError(f"Expected {len(placeholders)} inputs, got {args_len}.")
+                raise RuntimeError(f'Expected {len(placeholders)} inputs, got {args_len}.')
             for input, value in zip(placeholders, args):
                 input.set_data_from_numpy(value.cpu().numpy())
         else: