code: def test_noisy_call(
      x: int, noise: bool, noise_dissymmetry: bool, expect_noisy: bool
  ) -> None:
      fx = functionlib._noisy_call(
          x=np.array([x]),
          transf=np.tanh,
          func=lambda y: np.arctanh(y)[0],  # type: ignore
          noise_level=float(noise),
          noise_dissymmetry=noise_dissymmetry,
          random_state=np.random.RandomState(0),
      )
      assert not np.isnan(
          fx
      )  # noise addition should not get out of function domain
      if expect_noisy:
          np.testing.assert_raises(
              AssertionError,
              np.testing.assert_almost_equal,
              fx,
              x,
              decimal=8,
          )
      else:
          np.testing.assert_almost_equal(fx, x, decimal=8)
  
imports: import typing
  import numpy
  import pytest
  from nevergrad.common import testing
  from nevergrad.parametrization import parameter
  from .None import functionlib
label_desc: Use image node_id 12 for calling a global function with example usage: test_noisy_call(x, noise, noise_dissymmetry, expect_noisy) without return types