code: def test_functions_zeros(
      number: int, dimension: int, expected: float
  ) -> None:
      func = _funcs.make_function(number)
      assert func.dimension == dimension
      value = func(np.array([0] * func.dimension))
      np.testing.assert_approx_equal(value, expected, significant=12)
      if number != 14:
          assert func.optimum is not None
          np.testing.assert_almost_equal(func(func.optimum), 0)
  
file_path: nevergrad/nevergrad/functions/lsgo/test_funcs.py
imports: from typing import List, Any, Callable
  import numpy
  from nevergrad.common import testing
  from .None import _funcs
label_desc: Use image node_id 3 for calling a global function with example usage: test_functions_zeros(number, dimension, expected) without return types