

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.138710 in range [0.000000, 0.277420]...	no solution exists.
	Iteration #003: testing norm threshold 0.208065 in range [0.138710, 0.277420]...	solution exists & found.
	Iteration #004: testing norm threshold 0.168649 in range [0.138710, 0.198589]...	no solution exists.
	Iteration #005: testing norm threshold 0.183619 in range [0.168649, 0.198589]...	no solution exists.
	Iteration #006: testing norm threshold 0.191104 in range [0.183619, 0.198589]...	solution exists & found.
	Iteration #007: testing norm threshold 0.187362 in range [0.183619, 0.191104]...	solution exists & found.
	Iteration #008: testing norm threshold 0.185490 in range [0.183619, 0.187362]...	no solution exists.
	Iteration #009: testing norm threshold 0.186426 in range [0.185490, 0.187362]...	solution exists & found.
	Iteration #010: testing norm threshold 0.185958 in range [0.185490, 0.186426]...	no solution exists.
	Iteration #011: testing norm threshold 0.186192 in range [0.185958, 0.186426]...	no solution exists.
	Iteration #012: testing norm threshold 0.186309 in range [0.186192, 0.186426]...	no solution exists.
	Iteration #013: testing norm threshold 0.186368 in range [0.186309, 0.186426]...	no solution exists.
	Iteration #014: testing norm threshold 0.186397 in range [0.186368, 0.186426]...	solution exists & found.
	Iteration #015: testing norm threshold 0.186382 in range [0.186368, 0.186397]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186375 in range [0.186368, 0.186383]...	no solution exists.


Factual sample: 		 {x0 : -3.171951415931164, x1 : -1.9246347352764988, y: False}
Nearest counterfactual sample:	 {x0 : 1.3821351076266841, x1 : -1.9245297867506668, y: True} (verified)
Minimum counterfactual distance: 0.186382
