def _rand_with_constraints(x_bounds, x_types):
outputs = None
x_bounds_withconstraints = [x_bounds[i] for i in CONSTRAINT_PARAMS_IDX]
x_types_withconstraints = [x_types[i] for i in CONSTRAINT_PARAMS_IDX]
x_val_withconstraints = lib_constraint_summation.rand(x_bounds_withconstraints,\
x_types_withconstraints, CONSTRAINT_LOWERBOUND, CONSTRAINT_UPPERBOUND)
if not x_val_withconstraints:
outputs = [None] * len(x_bounds)
for i, _ in enumerate(CONSTRAINT_PARAMS_IDX):
outputs[CONSTRAINT_PARAMS_IDX[i]] = x_val_withconstraints[i]
for i, output in enumerate(outputs):
if not output:
outputs[i] = random.randint(x_bounds[i][0], x_bounds[i][1])
return outputs
def _rand_with_constraints(x_bounds, x_types):
'''
Random generate the variable with constraints
'''
outputs = None
x_bounds_withconstraints = [x_bounds[i] for i in CONSTRAINT_PARAMS_IDX]
x_types_withconstraints = [x_types[i] for i in CONSTRAINT_PARAMS_IDX]
x_val_withconstraints = lib_constraint_summation.rand(
x_bounds_withconstraints, x_types_withconstraints,
CONSTRAINT_LOWERBOUND, CONSTRAINT_UPPERBOUND)
if x_val_withconstraints is not None:
outputs = [None] * len(x_bounds)
for i, _ in enumerate(CONSTRAINT_PARAMS_IDX):
outputs[CONSTRAINT_PARAMS_IDX[i]] = x_val_withconstraints[i]
for i, _ in enumerate(outputs):
if outputs[i] is None:
outputs[i] = random.randint(x_bounds[i][0], x_bounds[i][1])
return outputs
