

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


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 0.136915 in range [0.000000, 0.273830]...	no solution exists.
	Iteration #003: testing norm threshold 0.205372 in range [0.136915, 0.273830]...	no solution exists.
	Iteration #004: testing norm threshold 0.239601 in range [0.205372, 0.273830]...	no solution exists.
	Iteration #005: testing norm threshold 0.256716 in range [0.239601, 0.273830]...	no solution exists.
	Iteration #006: testing norm threshold 0.265273 in range [0.256716, 0.273830]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260994 in range [0.256716, 0.265273]...	no solution exists.
	Iteration #008: testing norm threshold 0.263134 in range [0.260994, 0.265273]...	solution exists & found.
	Iteration #009: testing norm threshold 0.262064 in range [0.260994, 0.263134]...	solution exists & found.
	Iteration #010: testing norm threshold 0.261529 in range [0.260994, 0.262064]...	no solution exists.
	Iteration #011: testing norm threshold 0.261797 in range [0.261529, 0.262064]...	solution exists & found.
	Iteration #012: testing norm threshold 0.261663 in range [0.261529, 0.261797]...	solution exists & found.
	Iteration #013: testing norm threshold 0.261596 in range [0.261529, 0.261663]...	no solution exists.
	Iteration #014: testing norm threshold 0.261629 in range [0.261596, 0.261663]...	solution exists & found.
	Iteration #015: testing norm threshold 0.261613 in range [0.261596, 0.261630]...	no solution exists.
	Iteration #016: testing norm threshold 0.261621 in range [0.261613, 0.261630]...	solution exists & found.


Factual sample: 		 {x0 : -3.4510844928696773, x1 : -3.9525198877158494, y: False}
Nearest counterfactual sample:	 {x0 : 2.9415526433043486, x1 : -3.9525198877158494, y: True} (verified)
Minimum counterfactual distance: 0.261621
