class_docstr: Tests for LAX-backed Numpy reduction operations.
class_docstr_tok: ["Tests","for","LAX-backed","Numpy","reduction","operations","."]
code: def testMeanLargeArray(self):
      # https://github.com/google/jax/issues/15068
      raise unittest.SkipTest("test is slow, but it passes!")
      x = jnp.ones((16, 32, 1280, 4096), dtype="int8")
      self.assertEqual(1.0, jnp.mean(x))
      self.assertEqual(1.0, jnp.mean(x, where=True))
  
imports: import collections
  from functools import partial
  import itertools
  import unittest
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import numpy
  from jax._src import config
  from jax._src import dtypes
  from jax._src import test_util
  from jax._src.util import NumpyComplexWarning
label_desc: Use image node_id 20 for calling the JaxNumpyReducerTests obj's underlying member method code with example usage: obj.testMeanLargeArray() without return types