class_docstr: Trigonometric 1 objective function.
  
  This class defines the Trigonometric 1 [1]_ global optimization problem. This
  is a multimodal minimization problem defined as follows:
  
  .. math::
  
      f_{\text{Trigonometric01}}(x) = \sum_{i=1}^{n} \left [n -
                                      \sum_{j=1}^{n} \cos(x_j)
                                      + i \left(1 - cos(x_i)
                                      - sin(x_i) \right ) \right]^2
  
  Here, :math:`n` represents the number of dimensions and
  :math:`x_i \in [0, \pi]` for :math:`i = 1, ..., n`.
  
  *Global optimum*: :math:`f(x) = 0` for :math:`x_i = 0` for
  :math:`i = 1, ..., n`
  
  .. [1] Jamil, M. & Yang, X.-S. A Literature Survey of Benchmark Functions
  For Global Optimization Problems Int. Journal of Mathematical Modelling
  and Numerical Optimisation, 2013, 4, 150-194.
  
  TODO: equaiton uncertain here.  Is it just supposed to be the cos term
  in the inner sum, or the whole of the second line in Jamil #153.
code: def __init__(self, dimensions=2):
      Benchmark.__init__(self, dimensions)
  
      self._bounds = list(zip([0.0] * self.N, [pi] * self.N))
  
      self.global_optimum = [[0.0 for _ in range(self.N)]]
      self.fglob = 0.0
      self.change_dimensionality = True
  
imports: from numpy import abs, asarray, cos, exp, arange, pi, sin, sum, atleast_2d
  from .go_benchmark import Benchmark
label_desc: Use image node_id 1 to create a new Trigonometric01 object from inherited base classes: Benchmark with example: obj = Trigonometric01(dimensions)