code: def test_upsupported_shape_input_fails(self):
      with self.assertRaisesRegex(
          ValueError, "inputs should have shape"
      ):
          layers.HashedCrossing(num_bins=10)(
              (np.array([[[1.0]]]), np.array([[[1.0]]]))
          )
  
file_path: keras/keras/layers/preprocessing/hashed_crossing_test.py
imports: import numpy
  import pytest
  import tensorflow
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 4 for calling the HashedCrossingTest obj's underlying member method code with example usage: obj.test_upsupported_shape_input_fails() without return types