code: def _try_get_delta_table_latest_version_from_path(
      path: str,
  ) -> Optional[int]:
      """Gets the latest version of the Delta table located at the specified path.
  
      Args:
          path: The path to the Delta table.
  
      Returns:
          The version of the Delta table, or None if it cannot be resolved (e.g. because the
          Delta core library is not installed or the specified path does not refer to a Delta
          table).
  
      """
      from pyspark.sql import SparkSession
  
      try:
          spark = SparkSession.builder.getOrCreate()
          j_delta_table = spark._jvm.io.delta.tables.DeltaTable.forPath(
              spark._jsparkSession, path
          )
          return _get_delta_table_latest_version(j_delta_table)
      except Exception as e:
          _logger.warning(
              "Failed to obtain version information for Delta table at path '%s'. Version information"
              " may not be included in the dataset source for MLflow Tracking. Exception: %s",
              path,
              e,
          )
  
imports: import logging
  import os
  from typing import Optional
label_desc: Use image node_id 3 for calling a global function with example usage: _try_get_delta_table_latest_version_from_path(path) and returns: _get_delta_table_latest_version