

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


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 0.170211 in range [0.000000, 0.340423]...	no solution exists.
	Iteration #003: testing norm threshold 0.255317 in range [0.170211, 0.340423]...	solution exists & found.
	Iteration #004: testing norm threshold 0.209719 in range [0.170211, 0.249227]...	no solution exists.
	Iteration #005: testing norm threshold 0.229473 in range [0.209719, 0.249227]...	no solution exists.
	Iteration #006: testing norm threshold 0.239350 in range [0.229473, 0.249227]...	solution exists & found.
	Iteration #007: testing norm threshold 0.234411 in range [0.229473, 0.239350]...	no solution exists.
	Iteration #008: testing norm threshold 0.236880 in range [0.234411, 0.239350]...	solution exists & found.
	Iteration #009: testing norm threshold 0.235646 in range [0.234411, 0.236881]...	no solution exists.
	Iteration #010: testing norm threshold 0.236263 in range [0.235646, 0.236881]...	solution exists & found.
	Iteration #011: testing norm threshold 0.235955 in range [0.235646, 0.236263]...	solution exists & found.
	Iteration #012: testing norm threshold 0.235800 in range [0.235646, 0.235955]...	no solution exists.
	Iteration #013: testing norm threshold 0.235878 in range [0.235800, 0.235955]...	solution exists & found.
	Iteration #014: testing norm threshold 0.235839 in range [0.235800, 0.235878]...	solution exists & found.
	Iteration #015: testing norm threshold 0.235820 in range [0.235800, 0.235839]...	solution exists & found.
	Iteration #016: testing norm threshold 0.235810 in range [0.235800, 0.235820]...	solution exists & found.


Factual sample: 		 {x0 : -2.4537025041363094, x1 : -1.9928111992847448, y: False}
Nearest counterfactual sample:	 {x0 : 1.5061551217919023, x1 : -1.9928311970799415, y: True} (verified)
Minimum counterfactual distance: 0.235810
