code: def _uses_buffer_offset(model: schema_fb.ModelT) -> bool:
      """Determines whether the model is using an offset buffer.
  
      Args:
        model: A TFLite model.
  
      Returns:
        True iff the model is using offset buffers. Offset buffers are enabled by
        the flag `_experimental_use_buffer_offset`.
      """
      if not model.metadata:
          return False
  
      return any(
          map(
              lambda metadata: metadata.name.decode("utf-8")
              == "buffer_location",
              model.metadata,
          )
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow.lite.python import lite
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python.optimize import calibrator
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import resource_loader
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: _uses_buffer_offset(model) and returns: any, False