code: def bisine_wahwah_wave(frequency):
      """Emit two sine waves with balance oscillating left and right."""
      #
      # This is clearly intended to build on the bisine wave defined above,
      # so we can start by generating that.
      waves_a = bisine_wave(frequency)
      #
      # Then, by reversing axis 2, we swap the stereo channels. By mixing
      # this with `waves_a`, we'll be able to create the desired effect.
      waves_b = tf.reverse(waves_a, axis=[2])
      #
      # Let's have the balance oscillate from left to right four times.
      iterations = 4
      #
      # Now, we compute the balance for each sample: `ts` has values
      # in [0, 1] that indicate how much we should use `waves_a`.
      xs = tf.reshape(
          tf.range(_samples(), dtype=tf.float32), [1, _samples(), 1]
      )
      thetas = xs / _samples() * iterations
      ts = (tf.sin(math.pi * 2 * thetas) + 1) / 2
      #
      # Finally, we can mix the two together, and we're done.
      wave = ts * waves_a + (1.0 - ts) * waves_b
      #
      # Alternately, we can make the effect more pronounced by exaggerating
      # the sample data. Let's emit both variations.
      exaggerated_wave = wave**3.0
      return tf.concat([wave, exaggerated_wave], axis=0)
  
file_path: guildai/examples/tensorboard/audio.py
imports: import inspect
  import math
  import os.path
  from absl import app
  from absl import flags
  import tensorflow
  from tensorboard.plugins.audio import summary
label_desc: Use image node_id 7 for calling a global function with example usage: bisine_wahwah_wave(frequency) and returns: tf