code: def test_harder_continuous_suggest_optimizers() -> None:
      """Checks that somes optimizer can converge when provided with a good suggestion."""
      instrum = ng.p.Array(shape=(100,)).set_bounds(0.0, 1.0)
      optimum = np.asarray([0] * 17 + [1] * 17 + [0] * 66)
      target = lambda x: min(2.0, np.sum((x - optimum) ** 2))
      suggestion = np.asarray([0] * 17 + [1] * 16 + [0] * 67)
      suggestion_testing(
          "NGOpt",
          instrum,
          suggestion,
          1500,
          target,
          optimum,
          threshold=0.9,
      )
  
file_path: nevergrad/nevergrad/optimization/test_suggest.py
imports: import pytest
  import numpy
  import sys
  from unittest import SkipTest
  import nevergrad
  import nevergrad.common.typing
  from nevergrad.common import testing
  from .None import base
  from .optimizerlib import registry
label_desc: Use image node_id 6 for calling a global function with example usage: test_harder_continuous_suggest_optimizers() without return types