code: def branin(x, noise_level=0.0):
      return _branin(x) + noise_level * np.random.randn()
  
file_path: scikit-optimize/examples/sampler/sampling_comparison.py
imports: import numpy
  import matplotlib.pyplot
  from skopt.benchmarks import hart6
  from skopt.benchmarks import branin
  from matplotlib.pyplot import cm
  import time
  from skopt import gp_minimize, forest_minimize, dummy_minimize
  from functools import partial
  from skopt.utils import cook_initial_point_generator
label_desc: Use image node_id 2 for calling a global function with example usage: branin(x, noise_level) and returns: unknown