code: def is_aat_form(operators):
      """Returns True if operators is of the form A @ A.H, possibly recursively."""
      operators = list(operators)
      if not operators:
          raise ValueError("AAT form is undefined for empty operators")
  
      if len(operators) % 2:
          return False
  
      # Check for forms like (A1 @ A2) @ (A2.H @ A1.H)
      return all(
          is_adjoint_pair(operators[i], operators[-1 - i])
          for i in range(len(operators) // 2)
      )
  
imports: import numpy
  from tensorflow_probability.python.internal.backend.numpy import dtype
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import numpy_array
  from tensorflow_probability.python.internal.backend.numpy import debugging
  from tensorflow_probability.python.internal.backend.numpy import control_flow
  from tensorflow_probability.python.internal.backend.numpy import linalg_impl
  from tensorflow_probability.python.internal.backend.numpy import numpy_math
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy import nest
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import linalg_impl
  from tensorflow_probability.python.internal.backend.numpy import ops
  from tensorflow_probability.python.internal.backend.numpy.gen import tensor_shape
  from tensorflow_probability.python.internal.backend.numpy import private
label_desc: Use image node_id 16 for calling a global function with example usage: is_aat_form(operators) and returns: all, False