class_docstr: Store and load TF Event Logs from Azure Blob Storage.
code: def __init__(
      self,
      container: str,
      connection_string: Optional[str] = None,
      account_url: Optional[str] = None,
      credential: Optional[str] = None,
      *args: Any,
      **kwargs: Any,
  ) -> None:
      super().__init__(*args, **kwargs)
      from determined.common.storage import azure_client
  
      self.client = azure_client.AzureStorageClient(
          container, connection_string, account_url, credential
      )
      self.container = (
          container if not container.endswith("/") else container[:-1]
      )
  
file_path: determined/harness/determined/tensorboard/azure.py
imports: import logging
  from typing import Any, List, Optional
  from determined.tensorboard import base
label_desc: Use image node_id 1 to create a new AzureTensorboardManager object from inherited base classes: base with example: obj = AzureTensorboardManager(container, connection_string, account_url, credential)