

==============================================


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_counterfactual,
                           'upper_bound': 8913627213352543/2251799813685248}},
 'interventional': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_interventional,
                           'upper_bound': 8913627213352543/2251799813685248}},
 'output': {'y': {'symbol': y}}}
Constructing initial formulas: model, counterfactual, distance, plausibility, diversity		done.
Solving (not searching) for closest counterfactual using various distance thresholds...
	Iteration #001: testing norm threshold 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.092273 in range [0.000000, 0.184546]...	no solution exists.
	Iteration #003: testing norm threshold 0.138409 in range [0.092273, 0.184546]...	no solution exists.
	Iteration #004: testing norm threshold 0.161478 in range [0.138409, 0.184546]...	no solution exists.
	Iteration #005: testing norm threshold 0.173012 in range [0.161478, 0.184546]...	solution exists & found.
	Iteration #006: testing norm threshold 0.167245 in range [0.161478, 0.173012]...	no solution exists.
	Iteration #007: testing norm threshold 0.170128 in range [0.167245, 0.173012]...	no solution exists.
	Iteration #008: testing norm threshold 0.171570 in range [0.170128, 0.173012]...	solution exists & found.
	Iteration #009: testing norm threshold 0.170849 in range [0.170128, 0.171570]...	no solution exists.
	Iteration #010: testing norm threshold 0.171210 in range [0.170849, 0.171570]...	solution exists & found.
	Iteration #011: testing norm threshold 0.171029 in range [0.170849, 0.171210]...	no solution exists.
	Iteration #012: testing norm threshold 0.171120 in range [0.171029, 0.171210]...	no solution exists.
	Iteration #013: testing norm threshold 0.171165 in range [0.171120, 0.171210]...	solution exists & found.
	Iteration #014: testing norm threshold 0.171142 in range [0.171120, 0.171165]...	solution exists & found.
	Iteration #015: testing norm threshold 0.171131 in range [0.171120, 0.171142]...	solution exists & found.
	Iteration #016: testing norm threshold 0.171125 in range [0.171120, 0.171131]...	no solution exists.


Factual sample: 		 {x0 : -1.9501909834065383, x1 : -1.253519499250928, y: False}
Nearest counterfactual sample:	 {x0 : 0.9234155903091393, x1 : -1.2533915450151374, y: True} (verified)
Minimum counterfactual distance: 0.171131
