

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


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 0.150518 in range [0.000000, 0.301036]...	no solution exists.
	Iteration #003: testing norm threshold 0.225777 in range [0.150518, 0.301036]...	no solution exists.
	Iteration #004: testing norm threshold 0.263406 in range [0.225777, 0.301036]...	solution exists & found.
	Iteration #005: testing norm threshold 0.244591 in range [0.225777, 0.263406]...	no solution exists.
	Iteration #006: testing norm threshold 0.253999 in range [0.244591, 0.263406]...	solution exists & found.
	Iteration #007: testing norm threshold 0.249295 in range [0.244591, 0.253999]...	no solution exists.
	Iteration #008: testing norm threshold 0.251647 in range [0.249295, 0.253999]...	solution exists & found.
	Iteration #009: testing norm threshold 0.250471 in range [0.249295, 0.251647]...	no solution exists.
	Iteration #010: testing norm threshold 0.251059 in range [0.250471, 0.251647]...	no solution exists.
	Iteration #011: testing norm threshold 0.251353 in range [0.251059, 0.251647]...	solution exists & found.
	Iteration #012: testing norm threshold 0.251206 in range [0.251059, 0.251353]...	solution exists & found.
	Iteration #013: testing norm threshold 0.251133 in range [0.251059, 0.251206]...	solution exists & found.
	Iteration #014: testing norm threshold 0.251096 in range [0.251059, 0.251133]...	no solution exists.
	Iteration #015: testing norm threshold 0.251114 in range [0.251096, 0.251133]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251105 in range [0.251096, 0.251115]...	no solution exists.


Factual sample: 		 {x0 : -3.389000830513851, x1 : -3.699280001612841, y: False}
Nearest counterfactual sample:	 {x0 : 2.7467368021984733, x1 : -3.699121375667426, y: True} (verified)
Minimum counterfactual distance: 0.251114
