

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


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 0.150601 in range [0.000000, 0.301203]...	no solution exists.
	Iteration #003: testing norm threshold 0.225902 in range [0.150601, 0.301203]...	no solution exists.
	Iteration #004: testing norm threshold 0.263552 in range [0.225902, 0.301203]...	solution exists & found.
	Iteration #005: testing norm threshold 0.244727 in range [0.225902, 0.263552]...	no solution exists.
	Iteration #006: testing norm threshold 0.254140 in range [0.244727, 0.263552]...	solution exists & found.
	Iteration #007: testing norm threshold 0.249433 in range [0.244727, 0.254140]...	no solution exists.
	Iteration #008: testing norm threshold 0.251787 in range [0.249433, 0.254140]...	solution exists & found.
	Iteration #009: testing norm threshold 0.250610 in range [0.249433, 0.251787]...	solution exists & found.
	Iteration #010: testing norm threshold 0.250022 in range [0.249433, 0.250610]...	no solution exists.
	Iteration #011: testing norm threshold 0.250316 in range [0.250022, 0.250610]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250169 in range [0.250022, 0.250316]...	no solution exists.
	Iteration #013: testing norm threshold 0.250243 in range [0.250169, 0.250316]...	no solution exists.
	Iteration #014: testing norm threshold 0.250279 in range [0.250243, 0.250316]...	solution exists & found.
	Iteration #015: testing norm threshold 0.250261 in range [0.250243, 0.250279]...	no solution exists.
	Iteration #016: testing norm threshold 0.250270 in range [0.250261, 0.250279]...	solution exists & found.


Factual sample: 		 {x0 : -3.7753859462999393, x1 : -3.045968901760931, y: False}
Nearest counterfactual sample:	 {x0 : 2.3398931175854187, x1 : -3.045968901760931, y: True} (verified)
Minimum counterfactual distance: 0.250270
