code: def test_dropout_rate_greater_than_one(self):
      with self.assertRaisesRegex(
          ValueError,
          "Invalid value received for argument `rate`. "
          "Expected a float value between 0 and 1.",
      ):
          _ = layers.Dropout(rate=1.5)
  
file_path: keras/keras/layers/regularization/dropout_test.py
imports: import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 6 for calling the DropoutTest obj's underlying member method code with example usage: obj.test_dropout_rate_greater_than_one() without return types