class_docstr: Lists Endpoints 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 order_by: A comma-separated list of fields to order by, sorted in
      ascending order. Use "desc" after a field name for
      descending. Supported fields:
  
      -  ``display_name``
      -  ``create_time``
      -  ``update_time``
  
      Example: ``display_name, create_time desc``.
  :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.
  :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
  :param impersonation_chain: Optional service account to impersonate using short-term
      credentials, or chained list of accounts required to get the access_token
      of the last account in the list, which will be impersonated in the request.
      If set as a string, the account must grant the originating account
      the Service Account Token Creator IAM role.
      If set as a sequence, the identities from the list must grant
      Service Account Token Creator IAM role to the directly preceding identity, with first
      account from the list granting this role to the originating account (templated).
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code: def __init__(
      self,
      *,
      region: str,
      project_id: str,
      filter: str | None = None,
      page_size: int | None = None,
      page_token: str | None = None,
      read_mask: str | None = None,
      order_by: 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.filter = filter
      self.page_size = page_size
      self.page_token = page_token
      self.read_mask = read_mask
      self.order_by = order_by
      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 DeployedModel, Endpoint, endpoint_service
  from airflow.providers.google.cloud.hooks.vertex_ai.endpoint_service import EndpointServiceHook
  from airflow.providers.google.cloud.links.vertex_ai import VertexAIEndpointLink, VertexAIEndpointListLink, VertexAIModelLink
  from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
label_desc: Use image node_id 1 to create a new ListEndpointsOperator object from inherited base classes: GoogleCloudBaseOperator with example: obj = ListEndpointsOperator()