class_docstr: `Branin function <http://infinity77.net/global_optimization/test_functions_nd_B.html#go_benchmark.Branin01>`_
  as benchmark task
docstr: Evaluate a 2-D branin function.
code: def call(self, x):
      """Evaluate a 2-D branin function."""
      x = copy.deepcopy(x)
      x[0] = (x[0] * 15) - 5
      x[1] = x[1] * 15
  
      a = 1
      b = 5.1 / (4 * numpy.square(math.pi))
      c = 5 / math.pi
      r = 6
      t = 1 / (8 * math.pi)
      s = 10
      y = (
          a * numpy.square(x[1] - b * numpy.square(x[0]) + c * x[0] - r)
          + s * (1 - t) * numpy.cos(x[0])
          + s
      )
  
      return [dict(name="branin", type="objective", value=y)]
  
file_path: orion/src/orion/benchmark/task/branin.py
imports: import copy
  import math
  import numpy
  from orion.benchmark.task.base import BenchmarkTask
label_desc: Use image node_id 2 for calling the Branin obj's underlying member method code with example usage: obj.call(x) and returns: list