class_docstr: class to handle the context variable in the optimizer
  :param space: design space class from GPyOpt.
  :param context: dictionary of variables and their contex values
docstr: Takes a value x in the subspace of not fixed dimensions and expands it with the values of the fixed ones.
  :param x: input vector to be expanded by adding the context values
code: def _expand_vector(self, x):
      """
      Takes a value x in the subspace of not fixed dimensions and expands it with the values of the fixed ones.
      :param x: input vector to be expanded by adding the context values
      """
      x = np.atleast_2d(x)
      x_expanded = np.zeros(
          (x.shape[0], self.space.model_dimensionality)
      )
      x_expanded[:, np.array(self.noncontext_index).astype(int)] = x
      x_expanded[
          :, np.array(self.context_index).astype(int)
      ] = self.context_value
      return x_expanded
  
file_path: GPyOpt/GPyOpt/optimization/acquisition_optimizer.py
imports: from .optimizer import OptLbfgs, OptDirect, OptCma, apply_optimizer, choose_optimizer
  from .anchor_points_generator import ObjectiveAnchorPointsGenerator, ThompsonSamplingAnchorPointsGenerator
  from ..core.task.space import Design_space
  import numpy
label_desc: Use image node_id 2 for calling the ContextManager obj's underlying member method code with example usage: obj._expand_vector(x) and returns: x_expanded