

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 0.112277 in range [0.000000, 0.224554]...	no solution exists.
	Iteration #003: testing norm threshold 0.168416 in range [0.112277, 0.224554]...	no solution exists.
	Iteration #004: testing norm threshold 0.196485 in range [0.168416, 0.224554]...	no solution exists.
	Iteration #005: testing norm threshold 0.210519 in range [0.196485, 0.224554]...	no solution exists.
	Iteration #006: testing norm threshold 0.217537 in range [0.210519, 0.224554]...	solution exists & found.
	Iteration #007: testing norm threshold 0.214028 in range [0.210519, 0.217537]...	solution exists & found.
	Iteration #008: testing norm threshold 0.212274 in range [0.210519, 0.214028]...	no solution exists.
	Iteration #009: testing norm threshold 0.213151 in range [0.212274, 0.214028]...	solution exists & found.
	Iteration #010: testing norm threshold 0.212712 in range [0.212274, 0.213151]...	solution exists & found.
	Iteration #011: testing norm threshold 0.212493 in range [0.212274, 0.212713]...	solution exists & found.
	Iteration #012: testing norm threshold 0.212384 in range [0.212274, 0.212493]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212329 in range [0.212274, 0.212384]...	no solution exists.
	Iteration #014: testing norm threshold 0.212356 in range [0.212329, 0.212384]...	solution exists & found.
	Iteration #015: testing norm threshold 0.212343 in range [0.212329, 0.212356]...	no solution exists.
	Iteration #016: testing norm threshold 0.212349 in range [0.212343, 0.212356]...	solution exists & found.


Factual sample: 		 {x0 : -2.783500256338053, x1 : -3.254878324426816, y: False}
Nearest counterfactual sample:	 {x0 : 2.4051954589822313, x1 : -3.254878324426816, y: True} (verified)
Minimum counterfactual distance: 0.212349
