code: def _flatten(objects):
      flattened_list = []
      for item in objects:
          if isinstance(item, (list, tuple)):
              flattened_list.extend(_flatten(item))
          else:
              flattened_list.append(item)
      return flattened_list
  
imports: import numpy
  import pytest
  import torch
  import torch.nn
  import coremltools
  import coremltools.models.utils
  from coremltools import RangeDim, TensorType
  from coremltools._deps import _HAS_EXECUTORCH, _HAS_TORCH_EXPORT_API, _IS_MACOS
  from coremltools.converters.mil.mil.types.type_mapping import nptype_from_builtin
  from coremltools.converters.mil.testing_utils import ct_convert, validate_minimum_deployment_target
  from ..ops import TorchFrontend
  from ..torchscript_utils import torch_to_mil_types
label_desc: Use image node_id 1 for calling a global function with example usage: _flatten(objects) and returns: flattened_list