class_docstr: Tests for LAX-backed Numpy reduction operations.
class_docstr_tok: ["Tests","for","LAX-backed","Numpy","reduction","operations","."]
code: def testReducer(
      self,
      name,
      rng_factory,
      shape,
      dtype,
      out_dtype,
      axis,
      keepdims,
      inexact,
  ):
      np_op = getattr(np, name)
      jnp_op = getattr(jnp, name)
      rng = rng_factory(self.rng())
  
      @jtu.ignore_warning(category=NumpyComplexWarning)
      @jtu.ignore_warning(
          category=RuntimeWarning, message="mean of empty slice.*"
      )
      @jtu.ignore_warning(
          category=RuntimeWarning, message="overflow encountered.*"
      )
      def np_fun(x):
          x = np.asarray(x)
          if inexact:
              x = x.astype(dtypes.to_inexact_dtype(x.dtype))
          x_cast = x if dtype != jnp.bfloat16 else x.astype(np.float32)
          t = out_dtype if out_dtype != jnp.bfloat16 else np.float32
          if t is None:
              t = _reducer_output_dtype(name, x_cast.dtype)
          return np_op(x_cast, axis, dtype=t, keepdims=keepdims)
  
      jnp_fun = lambda x: jnp_op(
          x, axis, dtype=out_dtype, keepdims=keepdims
      )
      jnp_fun = jtu.ignore_warning(category=jnp.ComplexWarning)(jnp_fun)
      args_maker = lambda: [rng(shape, dtype)]
      tol_spec = {
          np.float16: 1e-2,
          np.int16: 2e-7,
          np.int32: 1e-3,
          np.uint32: 3e-7,
          np.float32: 1e-3,
          np.complex64: 1e-3,
          np.float64: 1e-5,
          np.complex128: 1e-5,
      }
      tol = jtu.tolerance(dtype, tol_spec)
      tol = (
          max(tol, jtu.tolerance(out_dtype, tol_spec))
          if out_dtype
          else tol
      )
      self._CheckAgainstNumpy(
          np_fun,
          jnp_fun,
          args_maker,
          check_dtypes=jnp.bfloat16 not in (dtype, out_dtype),
          tol=tol,
      )
      self._CompileAndCheck(jnp_fun, args_maker, atol=tol, rtol=tol)
  
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 2 for calling the JaxNumpyReducerTests obj's underlying member method code with example usage: obj.testReducer(name, rng_factory, shape, dtype, out_dtype, axis, keepdims, inexact) and returns: np_op