class_docstr: Defines a global optimization benchmark problem.
  
  This abstract class defines the basic structure of a global
  optimization problem. Subclasses should implement the ``fun`` method
  for a particular optimization problem.
  
  Attributes
  ----------
  N : int
      The dimensionality of the problem.
  bounds : sequence
      The lower/upper bounds to be used for minimizing the problem.
      This a list of (lower, upper) tuples that contain the lower and upper
      bounds for the problem.  The problem should not be asked for evaluation
      outside these bounds. ``len(bounds) == N``.
  xmin : sequence
      The lower bounds for the problem
  xmax : sequence
      The upper bounds for the problem
  fglob : float
      The global minimum of the evaluated function.
  global_optimum : sequence
      A list of vectors that provide the locations of the global minimum.
      Note that some problems have multiple global minima, not all of which
      may be listed.
  nfev : int
      the number of function evaluations that the object has been asked to
      calculate.
  change_dimensionality : bool
      Whether we can change the benchmark function `x` variable length (i.e.,
      the dimensionality of the problem)
  custom_bounds : sequence
      a list of tuples that contain lower/upper bounds for use in plotting.
docstr: The lower bounds for the problem
  
  Returns
  -------
  xmin : sequence
      The lower bounds for the problem
docstr_tok: ["The","lower","bounds","for","the","problem","Returns","--","--","--","-","xmin",":","sequence","The","lower","bounds","for","the","problem"]
code: def xmin(self):
      """
      The lower bounds for the problem
  
      Returns
      -------
      xmin : sequence
          The lower bounds for the problem
      """
      return asarray([b[0] for b in self.bounds])
  
file_path: scipy/benchmarks/benchmarks/go_benchmark_functions/go_benchmark.py
imports: import numpy
  from numpy import abs, asarray
  from ..common import safe_import
label_desc: Use image node_id 10 for calling the Benchmark obj's underlying member method code with example usage: obj.xmin() and returns: asarray