

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


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 0.163237 in range [0.000000, 0.326473]...	no solution exists.
	Iteration #003: testing norm threshold 0.244855 in range [0.163237, 0.326473]...	no solution exists.
	Iteration #004: testing norm threshold 0.285664 in range [0.244855, 0.326473]...	solution exists & found.
	Iteration #005: testing norm threshold 0.265260 in range [0.244855, 0.285664]...	no solution exists.
	Iteration #006: testing norm threshold 0.275462 in range [0.265260, 0.285664]...	no solution exists.
	Iteration #007: testing norm threshold 0.280563 in range [0.275462, 0.285664]...	solution exists & found.
	Iteration #008: testing norm threshold 0.278013 in range [0.275462, 0.280563]...	solution exists & found.
	Iteration #009: testing norm threshold 0.276737 in range [0.275462, 0.278013]...	solution exists & found.
	Iteration #010: testing norm threshold 0.276100 in range [0.275462, 0.276738]...	solution exists & found.
	Iteration #011: testing norm threshold 0.275781 in range [0.275462, 0.276100]...	solution exists & found.
	Iteration #012: testing norm threshold 0.275622 in range [0.275462, 0.275781]...	solution exists & found.
	Iteration #013: testing norm threshold 0.275542 in range [0.275462, 0.275622]...	solution exists & found.
	Iteration #014: testing norm threshold 0.275502 in range [0.275462, 0.275542]...	no solution exists.
	Iteration #015: testing norm threshold 0.275522 in range [0.275502, 0.275542]...	no solution exists.
	Iteration #016: testing norm threshold 0.275532 in range [0.275522, 0.275542]...	no solution exists.


Factual sample: 		 {x0 : -3.431251680534218, x1 : -4.235113632231267, y: False}
Nearest counterfactual sample:	 {x0 : 3.301532524235804, x1 : -4.235113632231267, y: True} (verified)
Minimum counterfactual distance: 0.275542
