class_docstr: Lists HyperparameterTuningJobs in a Location.
  
  :param project_id: Required. The ID of the Google Cloud project that the service belongs to.
  :param region: Required. The ID of the Google Cloud region that the service belongs to.
  :param filter: The standard list filter.
      Supported fields:
      -  ``display_name`` supports = and !=.
      -  ``state`` supports = and !=.
      -  ``model_display_name`` supports = and !=
      Some examples of using the filter are:
      -  ``state="JOB_STATE_SUCCEEDED" AND display_name="my_job"``
      -  ``state="JOB_STATE_RUNNING" OR display_name="my_job"``
      -  ``NOT display_name="my_job"``
      -  ``state="JOB_STATE_FAILED"``
  :param page_size: The standard list page size.
  :param page_token: The standard list page token.
  :param read_mask: Mask specifying which fields to read.
  :param retry: Designation of what errors, if any, should be retried.
  :param timeout: The timeout for this request.
  :param metadata: Strings which should be sent along with the request as metadata.
code: def __init__(
      self,
      *,
      region: str,
      project_id: str,
      page_size: int | None = None,
      page_token: str | None = None,
      filter: str | None = None,
      read_mask: str | None = None,
      retry: Retry | _MethodDefault = DEFAULT,
      timeout: float | None = None,
      metadata: Sequence[tuple[str, str]] = (),
      gcp_conn_id: str = "google_cloud_default",
      impersonation_chain: str | Sequence[str] | None = None,
      **kwargs,
  ) -> None:
      super().__init__(**kwargs)
      self.region = region
      self.project_id = project_id
      self.page_size = page_size
      self.page_token = page_token
      self.filter = filter
      self.read_mask = read_mask
      self.retry = retry
      self.timeout = timeout
      self.metadata = metadata
      self.gcp_conn_id = gcp_conn_id
      self.impersonation_chain = impersonation_chain
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Sequence
  from google.api_core.exceptions import NotFound
  from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
  from google.cloud.aiplatform_v1.types import HyperparameterTuningJob
  from airflow.providers.google.cloud.hooks.vertex_ai.hyperparameter_tuning_job import HyperparameterTuningJobHook
  from airflow.providers.google.cloud.links.vertex_ai import VertexAIHyperparameterTuningJobListLink, VertexAITrainingLink
  from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
label_desc: Use image node_id 1 to create a new ListHyperparameterTuningJobOperator object from inherited base classes: GoogleCloudBaseOperator with example: obj = ListHyperparameterTuningJobOperator()