class_docstr: Simple quadratic fitness function which can be used with dimension up to 4
code: def __init__(self, x0: tp.ArrayLike, x1: tp.ArrayLike) -> None:
      self.x0 = np.array(x0, copy=True)
      self.x1 = np.array(np.exp(x1), copy=True)
  
file_path: nevergrad/nevergrad/optimization/test_special.py
imports: import os
  import numpy
  import pytest
  import nevergrad.common.typing
  from .None import test_optimizerlib
  from .None import optimizerlib
  import nevergrad
label_desc: Use image node_id 1 to create a new SimpleFitness object  with example: obj = SimpleFitness(x0, x1)