class_docstr: A context manager to capture imported modules by temporarily applying a patch to
  `builtins.__import__` and `importlib.import_module`.
code: def _wrap_import(self, original):
      # pylint: disable=redefined-builtin
      @functools.wraps(original)
      def wrapper(
          name, globals=None, locals=None, fromlist=(), level=0
      ):
          is_absolute_import = level == 0
          if is_absolute_import:
              self._record_imported_module(name)
          return original(name, globals, locals, fromlist, level)
  
      return wrapper
  
imports: import argparse
  import builtins
  import functools
  import importlib
  import json
  import os
  import sys
  import mlflow
  from mlflow.models.model import MLMODEL_FILE_NAME, Model
  from mlflow.pyfunc import MAIN
  from mlflow.utils._spark_utils import _prepare_subprocess_environ_for_creating_local_spark_session
  from mlflow.utils.file_utils import write_to
  from mlflow.utils.requirements_utils import DATABRICKS_MODULES_TO_PACKAGES, MLFLOW_MODULES_TO_PACKAGES
label_desc: Use image node_id 2 for calling the _CaptureImportedModules obj's underlying member method code with example usage: obj._wrap_import(original) and returns: wrapper, original