code: def md5_checksum(path):
      file_hash = hashlib.sha256()
      with open(path, "rb") as f:
          while chunk := f.read(1024**2):
              file_hash.update(chunk)
      return file_hash.hexdigest()
  
file_path: mlflow/examples/databricks/multipart.py
imports: import hashlib
  import json
  import os
  import pathlib
  import tempfile
  from concurrent.futures import ThreadPoolExecutor, as_completed
  import pandas
  import psutil
  from tqdm.auto import tqdm
  import mlflow
  from mlflow.environment_variables import MLFLOW_ENABLE_MULTIPART_DOWNLOAD, MLFLOW_ENABLE_MULTIPART_UPLOAD
  from mlflow.utils.time import Timer
label_desc: Use image node_id 2 for calling a global function with example usage: md5_checksum(path) and returns: file_hash