code: def fixture_container_from_envvar():
      def inner(override: str) -> ConfigDictType:
          return BentoMLConfiguration(
              override_config_values=override
          ).to_dict()
  
      return inner
  
imports: from __future__ import annotations
  import typing
  from typing import TYPE_CHECKING
  import pytest
  from bentoml._internal.configuration.containers import BentoMLConfiguration
label_desc: Use image node_id 2 for calling a global function with example usage: fixture_container_from_envvar() and returns: inner, BentoMLConfiguration