docs: fix spelling (#565)

* fix: miss spelling

* fix: reverted spell

* fix: reverted to original wordds

* fix: revert to prevent lint

* fix: change grammar

Author: slowy07

google/cloud/aiplatform/base.py

@@ -582,7 +582,7 @@ def labels(self) -> Dict[str, str]:
 
     @property
     def gca_resource(self) -> proto.Message:
-        """The underlying resource proto represenation."""
+        """The underlying resource proto representation."""
         return self._gca_resource
 
     def __repr__(self) -> str:
@@ -1039,7 +1039,7 @@ def list(
     @optional_sync()
     def delete(self, sync: bool = True) -> None:
         """Deletes this Vertex AI resource. WARNING: This deletion is
-        permament.
+        permanent.
 
         Args:
             sync (bool):

google/cloud/aiplatform/datasets/dataset.py

@@ -68,7 +68,7 @@ def __init__(
                 Optional location to retrieve dataset from. If not set, location
                 set in aiplatform.init will be used.
             credentials (auth_credentials.Credentials):
-                Custom credentials to use to retreive this Dataset. Overrides
+                Custom credentials to use to retrieve this Dataset. Overrides
                 credentials set in aiplatform.init.
         """
 

google/cloud/aiplatform/jobs.py

@@ -99,7 +99,7 @@ def __init__(
         location: Optional[str] = None,
         credentials: Optional[auth_credentials.Credentials] = None,
     ):
-        """Retrives Job subclass resource by calling a subclass-specific getter
+        """Retrieves Job subclass resource by calling a subclass-specific getter
         method.
 
         Args:
@@ -388,12 +388,12 @@ def create(
                 Required. The format in which instances are given, must be one
                 of "jsonl", "csv", "bigquery", "tf-record", "tf-record-gzip",
                 or "file-list". Default is "jsonl" when using `gcs_source`. If a
-                `bigquery_source` is provided, this is overriden to "bigquery".
+                `bigquery_source` is provided, this is overridden to "bigquery".
             predictions_format (str):
                 Required. The format in which Vertex AI gives the
                 predictions, must be one of "jsonl", "csv", or "bigquery".
                 Default is "jsonl" when using `gcs_destination_prefix`. If a
-                `bigquery_destination_prefix` is provided, this is overriden to
+                `bigquery_destination_prefix` is provided, this is overridden to
                 "bigquery".
             gcs_source (Optional[Sequence[str]]):
                 Google Cloud Storage URI(-s) to your instances to run
@@ -1391,7 +1391,7 @@ def __init__(
 
             parameter_spec (Dict[str, hyperparameter_tuning._ParameterSpec]):
                 Required. Dictionary representing parameters to optimize. The dictionary key is the metric_id,
-                which is passed into your training job as a command line key word arguemnt, and the
+                which is passed into your training job as a command line key word argument, and the
                 dictionary value is the parameter specification of the metric.
 
 

google/cloud/aiplatform/models.py

@@ -1065,7 +1065,7 @@ def _instantiate_prediction_client(
                 the prediction client.
         Returns:
             prediction_client (prediction_service_client.PredictionServiceClient):
-                Initalized prediction client with optional overrides.
+                Initialized prediction client with optional overrides.
         """
         return initializer.global_config.create_client(
             client_class=utils.PredictionClientWithOverride,
@@ -2017,7 +2017,7 @@ def batch_predict(
                 Required. The format in which instances are given, must be one
                 of "jsonl", "csv", "bigquery", "tf-record", "tf-record-gzip",
                 or "file-list". Default is "jsonl" when using `gcs_source`. If a
-                `bigquery_source` is provided, this is overriden to "bigquery".
+                `bigquery_source` is provided, this is overridden to "bigquery".
             gcs_destination_prefix: Optional[str] = None
                 The Google Cloud Storage location of the directory where the
                 output is to be written to. In the given directory a new
@@ -2063,7 +2063,7 @@ def batch_predict(
                 Required. The format in which Vertex AI gives the
                 predictions, must be one of "jsonl", "csv", or "bigquery".
                 Default is "jsonl" when using `gcs_destination_prefix`. If a
-                `bigquery_destination_prefix` is provided, this is overriden to
+                `bigquery_destination_prefix` is provided, this is overridden to
                 "bigquery".
             model_parameters: Optional[Dict] = None
                 Optional. The parameters that govern the predictions. The schema of

google/cloud/aiplatform/tensorboard/tensorboard.py

@@ -63,7 +63,7 @@ def __init__(
                 Optional. Location to retrieve tensorboard from. If not set, location
                 set in aiplatform.init will be used.
             credentials (auth_credentials.Credentials):
-                Optional. Custom credentials to use to retreive this Tensorboard. Overrides
+                Optional. Custom credentials to use to retrieve this Tensorboard. Overrides
                 credentials set in aiplatform.init.
         """
 

google/cloud/aiplatform/tensorboard/uploader.py

@@ -690,7 +690,7 @@ def __init__(
         max_request_size: int,
         tracker: upload_tracker.UploadTracker,
     ):
-        """Constructer for _ScalarBatchedRequestSender.
+        """Constructor for _ScalarBatchedRequestSender.
 
         Args:
           run_resource_id: The resource id for the run with the following format
@@ -881,7 +881,7 @@ def __init__(
         max_tensor_point_size: int,
         tracker: upload_tracker.UploadTracker,
     ):
-        """Constructer for _TensorBatchedRequestSender.
+        """Constructor for _TensorBatchedRequestSender.
 
         Args:
           run_resource_id: The resource id for the run with the following format

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc.py

@@ -82,7 +82,7 @@ def __init__(
             api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
                 If provided, it overrides the ``host`` argument and tries to create
                 a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or applicatin default SSL credentials.
+                ``client_cert_source`` or application default SSL credentials.
             client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
                 Deprecated. A callback to provide client SSL certificate bytes and
                 private key bytes, both in PEM format. It is ignored if

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc_asyncio.py

@@ -129,7 +129,7 @@ def __init__(
             api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
                 If provided, it overrides the ``host`` argument and tries to create
                 a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or applicatin default SSL credentials.
+                ``client_cert_source`` or application default SSL credentials.
             client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
                 Deprecated. A callback to provide client SSL certificate bytes and
                 private key bytes, both in PEM format. It is ignored if

google/cloud/aiplatform_v1/services/endpoint_service/transports/grpc.py

@@ -81,7 +81,7 @@ def __init__(
             api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
                 If provided, it overrides the ``host`` argument and tries to create
                 a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or applicatin default SSL credentials.
+                ``client_cert_source`` or application default SSL credentials.
             client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
                 Deprecated. A callback to provide client SSL certificate bytes and
                 private key bytes, both in PEM format. It is ignored if

google/cloud/aiplatform_v1/services/endpoint_service/transports/grpc_asyncio.py

@@ -128,7 +128,7 @@ def __init__(
             api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint.
                 If provided, it overrides the ``host`` argument and tries to create
                 a mutual TLS channel with client SSL credentials from
-                ``client_cert_source`` or applicatin default SSL credentials.
+                ``client_cert_source`` or application default SSL credentials.
             client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]):
                 Deprecated. A callback to provide client SSL certificate bytes and
                 private key bytes, both in PEM format. It is ignored if