

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


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 0.136295 in range [0.000000, 0.272590]...	no solution exists.
	Iteration #003: testing norm threshold 0.204442 in range [0.136295, 0.272590]...	no solution exists.
	Iteration #004: testing norm threshold 0.238516 in range [0.204442, 0.272590]...	solution exists & found.
	Iteration #005: testing norm threshold 0.219658 in range [0.204442, 0.234874]...	no solution exists.
	Iteration #006: testing norm threshold 0.227266 in range [0.219658, 0.234874]...	solution exists & found.
	Iteration #007: testing norm threshold 0.223462 in range [0.219658, 0.227266]...	solution exists & found.
	Iteration #008: testing norm threshold 0.221560 in range [0.219658, 0.223462]...	no solution exists.
	Iteration #009: testing norm threshold 0.222511 in range [0.221560, 0.223462]...	no solution exists.
	Iteration #010: testing norm threshold 0.222987 in range [0.222511, 0.223462]...	solution exists & found.
	Iteration #011: testing norm threshold 0.222749 in range [0.222511, 0.222987]...	solution exists & found.
	Iteration #012: testing norm threshold 0.222630 in range [0.222511, 0.222749]...	no solution exists.
	Iteration #013: testing norm threshold 0.222690 in range [0.222630, 0.222749]...	solution exists & found.
	Iteration #014: testing norm threshold 0.222660 in range [0.222630, 0.222690]...	no solution exists.
	Iteration #015: testing norm threshold 0.222675 in range [0.222660, 0.222690]...	solution exists & found.
	Iteration #016: testing norm threshold 0.222667 in range [0.222660, 0.222675]...	solution exists & found.


Factual sample: 		 {x0 : -2.4425314289186755, x1 : -4.026219185607966, y: False}
Nearest counterfactual sample:	 {x0 : 2.998250075518421, x1 : -4.026246583937369, y: True} (verified)
Minimum counterfactual distance: 0.222667
