docs: def min(cls, x: 'TensorFluent', y: 'TensorFluent') -> 'TensorFluent':
          '''Returns a TensorFluent for the minimum function.
  
          Args:
              x: The first operand.
              y: The second operand.
  
          Returns:
              A TensorFluent wrapping the minimum function.
          '''
          return cls._binary_op(x, y, tf.minimum, tf.float32)