class_docstr: Stores artifacts on Amazon S3.
class_docstr_tok: ["Stores","artifacts","on","Amazon","S3","."]
code: def log_artifact(self, local_file, artifact_path=None):
      (bucket, dest_path) = self.parse_s3_compliant_uri(
          self.artifact_uri
      )
      if artifact_path:
          dest_path = posixpath.join(dest_path, artifact_path)
      dest_path = posixpath.join(
          dest_path, os.path.basename(local_file)
      )
      self._upload_file(
          s3_client=self._get_s3_client(),
          local_file=local_file,
          bucket=bucket,
          key=dest_path,
      )
  
imports: import json
  import os
  import posixpath
  import urllib.parse
  from datetime import datetime
  from functools import lru_cache
  from mimetypes import guess_type
  from mlflow.entities import FileInfo
  from mlflow.entities.multipart_upload import CreateMultipartUploadResponse, MultipartUploadCredential
  from mlflow.environment_variables import MLFLOW_S3_ENDPOINT_URL, MLFLOW_S3_IGNORE_TLS, MLFLOW_S3_UPLOAD_EXTRA_ARGS
  from mlflow.exceptions import MlflowException
  from mlflow.store.artifact.artifact_repo import ArtifactRepository, MultipartUploadMixin
  from mlflow.utils.file_utils import relative_path_to_artifact_path
label_desc: Use image node_id 6 for calling the S3ArtifactRepository obj's underlying member method code with example usage: obj.log_artifact(local_file, artifact_path) without return types