code: def test_error(self):
      # TODO(rjryan): Error types are different under eager.
      if context.executing_eagerly():
          return
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(num_mel_bins=0)
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(sample_rate=0.0)
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(lower_edge_hertz=-1)
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(
              lower_edge_hertz=100, upper_edge_hertz=10
          )
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(
              upper_edge_hertz=1000, sample_rate=800
          )
      with self.assertRaises(ValueError):
          mel_ops.linear_to_mel_weight_matrix(dtype=dtypes.int32)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.signal import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.signal import mel_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinearToMelTest obj's underlying member method code with example usage: obj.test_error() without return types