docstr: Gets the download url of the last training checkpoint from a run.
  
  See our docs for more information regarding checkpoints:
  https://docs.lightly.ai/docs/train-a-self-supervised-model#checkpoints
  
  Args:
      run:
          Run from which to download the checkpoint.
  
  Returns:
      The url from which the checkpoint can be downloaded.
  
  Raises:
      ArtifactNotExist:
          If the run has no checkpoint artifact or the checkpoint has not yet been
          uploaded.
  
  Examples:
      >>> # schedule run
      >>> scheduled_run_id = client.schedule_compute_worker_run(...)
      >>>
      >>> # wait until run completed
      >>> for run_info in client.compute_worker_run_info_generator(scheduled_run_id=scheduled_run_id):
      >>>     pass
      >>>
      >>> # get checkpoint read_url
      >>> run = client.get_compute_worker_run_from_scheduled_run(scheduled_run_id=scheduled_run_id)
      >>> checkpoint_read_url = client.get_compute_worker_run_checkpoint_url(run=run)
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code: def get_compute_worker_run_checkpoint_url(
      self,
      run: DockerRunData,
  ) -> str:
      """Gets the download url of the last training checkpoint from a run.
  
      See our docs for more information regarding checkpoints:
      https://docs.lightly.ai/docs/train-a-self-supervised-model#checkpoints
  
      Args:
          run:
              Run from which to download the checkpoint.
  
      Returns:
          The url from which the checkpoint can be downloaded.
  
      Raises:
          ArtifactNotExist:
              If the run has no checkpoint artifact or the checkpoint has not yet been
              uploaded.
  
      Examples:
          >>> # schedule run
          >>> scheduled_run_id = client.schedule_compute_worker_run(...)
          >>>
          >>> # wait until run completed
          >>> for run_info in client.compute_worker_run_info_generator(scheduled_run_id=scheduled_run_id):
          >>>     pass
          >>>
          >>> # get checkpoint read_url
          >>> run = client.get_compute_worker_run_from_scheduled_run(scheduled_run_id=scheduled_run_id)
          >>> checkpoint_read_url = client.get_compute_worker_run_checkpoint_url(run=run)
  
      """
      artifact = self._get_artifact_by_type(
          artifact_type=DockerRunArtifactType.CHECKPOINT, run=run
      )
      read_url = self._compute_worker_api.get_docker_run_artifact_read_url_by_id(
          run_id=run.id, artifact_id=artifact.id
      )
      return read_url
  
file_path: lightly/lightly/api/api_workflow_artifacts.py
imports: import os
  import warnings
  from lightly.api import download
  from lightly.openapi_generated.swagger_client.models import DockerRunArtifactData, DockerRunArtifactType, DockerRunData
label_desc: Use image node_id 13 for calling the _ArtifactsMixin obj's underlying member method code with example usage: obj.get_compute_worker_run_checkpoint_url(run) and returns: read_url