code: def ragged_bool(self):  # pylint: disable=g-doc-args
      """Raises TypeError when a RaggedTensor is used as a Python bool.
  
      To prevent RaggedTensor from being used as a bool, this function always raise
      TypeError when being called.
  
      For example:
  
      >>> x = tf.ragged.constant([[1, 2], [3]])
      >>> result = True if x else False  # Evaluate x as a bool value.
      Traceback (most recent call last):
      ...
      TypeError: RaggedTensor may not be used as a boolean.
  
      >>> x = tf.ragged.constant([[1]])
      >>> r = (x == 1)  # tf.RaggedTensor [[True]]
      >>> if r:  # Evaluate r as a bool value.
      ...   pass
      Traceback (most recent call last):
      ...
      TypeError: RaggedTensor may not be used as a boolean.
      """
      raise TypeError("RaggedTensor may not be used as a boolean.")
  
file_path: tensorflow/tensorflow/python/ops/ragged/ragged_operators.py
imports: from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_getitem
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 7 for calling a global function with example usage: ragged_bool() without return types