code: def testProjectSingleDifferentDistribution(self):
      supports = jnp.array([[0, 1, 2, 3, 4]], dtype=jnp.float32)
      weights = jnp.array(
          [[0.1, 0.2, 0.1, 0.3, 0.3]], dtype=jnp.float32
      )
      target_support = jnp.array([3, 4, 5, 6, 7], dtype=jnp.float32)
      projection = self._vmapped_projection(
          supports, weights, target_support
      )
      expected_projection = [[0.7, 0.3, 0.0, 0.0, 0.0]]
      onp.testing.assert_allclose(expected_projection, projection)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import absltest
  from dopamine.discrete_domains import atari_lib
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.jax.agents.rainbow import rainbow_agent
  from dopamine.utils import test_utils
  from flax import linen
  import gin
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 3 for calling the ProjectDistributionTest obj's underlying member method code with example usage: obj.testProjectSingleDifferentDistribution() without return types