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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_padding(x, padding_value=0):
 """Return float tensor representing the padding values in x. Args: x: int tensor with any shape padding_value: int value that Returns: flaot tensor with same shape as x containing values 0 or 1. 0 -> non-padding, 1 -> padding """

  with tf.name_scope("padding"):
    return tf.to_float(tf.equal(x, padding_value))