class_docstr: Client of an MLflow Tracking Server that creates and manages experiments and runs.
class_docstr_tok: ["Client","of","an","MLflow","Tracking","Server","that","creates","and","manages","experiments","and","runs","."]
docstr: List the artifacts for a run.
  
  :param run_id: The run to list artifacts from.
  :param path: The run's relative artifact path to list from. By default it is set to None
               or the root artifact path.
  :return: List of :py:class:`mlflow.entities.FileInfo`
docstr_tok: ["List","the","artifacts","for","a","run",".",":","param","run_id",":","The","run","to","list","artifacts","from",".",":","param","path",":","The","run","'s","relative","artifact","path","to","list","from",".","By","default","it","is","set","to","None","or","the","root","artifact","path",".",":","return",":","List","of",":","py",":","class",":","`","mlflow.entities.FileInfo","`"]
code: def list_artifacts(self, run_id, path=None):
      """
      List the artifacts for a run.
  
      :param run_id: The run to list artifacts from.
      :param path: The run's relative artifact path to list from. By default it is set to None
                   or the root artifact path.
      :return: List of :py:class:`mlflow.entities.FileInfo`
      """
      return self._get_artifact_repo(run_id).list_artifacts(path)
  
imports: import os
  from collections import OrderedDict
  from itertools import zip_longest
  from typing import List, Optional
  from mlflow.entities import ExperimentTag, Metric, Param, RunStatus, RunTag, ViewType
  from mlflow.entities.dataset_input import DatasetInput
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE, ErrorCode
  from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
  from mlflow.store.tracking import GET_METRIC_HISTORY_MAX_RESULTS, SEARCH_MAX_RESULTS_DEFAULT
  from mlflow.tracking._tracking_service import utils
  from mlflow.tracking.metric_value_conversion_utils import convert_metric_value_to_float_if_possible
  from mlflow.utils import chunk_list
  from mlflow.utils.async_logging.run_operations import RunOperations, get_combined_run_operations
  from mlflow.utils.mlflow_tags import MLFLOW_USER
  from mlflow.utils.string_utils import is_string_type
  from mlflow.utils.time import get_current_time_millis
  from mlflow.utils.uri import add_databricks_profile_info_to_artifact_uri
  from mlflow.utils.validation import MAX_ENTITIES_PER_BATCH, MAX_METRICS_PER_BATCH, MAX_PARAMS_TAGS_PER_BATCH, PARAM_VALIDATION_MSG, _validate_experiment_artifact_location, _validate_run_id
label_desc: Use image node_id 25 for calling the TrackingServiceClient obj's underlying member method code with example usage: obj.list_artifacts(run_id, path) and returns: self