code: def testIncorrectN(self, n):
      init_fn, _ = transform.transform(
          lambda: conv.ConvND(n, output_channels=1, kernel_shape=3)
      )
      with self.assertRaisesRegex(
          ValueError,
          "convolution operations for `num_spatial_dims` greater than 0",
      ):
          init_fn(None)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import conv
  from haiku._src import initializers
  from haiku._src import test_utils
  from haiku._src import transform
  import jax
  from jax import random
  import jax.numpy
  import numpy
label_desc: Use image node_id 1 for calling the ConvTest obj's underlying member method code with example usage: obj.testIncorrectN(n) without return types