code: def testProjectSingleIdenticalDistribution(self):
      supports = jnp.array([[0, 1, 2, 3, 4]], dtype=jnp.float32)
      expected_weights = [0.1, 0.2, 0.1, 0.3, 0.3]
      weights = jnp.array([expected_weights], dtype=jnp.float32)
      target_support = jnp.array([0, 1, 2, 3, 4], dtype=jnp.float32)
      projection = self._vmapped_projection(
          supports, weights, target_support
      )
      onp.testing.assert_allclose([expected_weights], 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 2 for calling the ProjectDistributionTest obj's underlying member method code with example usage: obj.testProjectSingleIdenticalDistribution() without return types