code: def basic(seed: tp.Optional[int] = None) -> tp.Iterator[Experiment]:
      """Test settings"""
      seedg = create_seed_generator(seed)
      function = ArtificialFunction(
          name="sphere", block_dimension=2, noise_level=1
      )
      np.random.seed(seed)  # seed before initializing the function!
      # initialization uses randomness
      function.transform_var._initialize()
      return iter(
          [
              Experiment(
                  function,
                  optimizer="OnePlusOne",
                  num_workers=2,
                  budget=4,
                  seed=next(seedg),
              )
          ]
      )
  
imports: import typing
  import numpy
  from nevergrad import optimizers
  from nevergrad.optimization.base import ConfiguredOptimizer
  from nevergrad.optimization import experimentalvariants
  from nevergrad.functions import ArtificialFunction
  from .xpbase import registry
  from .xpbase import create_seed_generator
  from .xpbase import Experiment
label_desc: Use image node_id 1 for calling a global function with example usage: basic(seed) and returns: iter