class_docstr: Latin experiment design.
  Uses random design for non-continuous variables, and latin hypercube for continuous ones
code: def __init__(self, space):
      if space.has_constraints():
          raise InvalidConfigError(
              "Sampling with constraints is not allowed by latin design"
          )
      super(LatinDesign, self).__init__(space)
  
imports: import numpy
  from ..core.errors import InvalidConfigError
  from .base import ExperimentDesign
  from .random_design import RandomDesign
label_desc: Use image node_id 1 to create a new LatinDesign object from inherited base classes: ExperimentDesign with example: obj = LatinDesign(space)