

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


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 0.086494 in range [0.000000, 0.172988]...	no solution exists.
	Iteration #003: testing norm threshold 0.129741 in range [0.086494, 0.172988]...	solution exists & found.
	Iteration #004: testing norm threshold 0.108117 in range [0.086494, 0.129741]...	no solution exists.
	Iteration #005: testing norm threshold 0.118929 in range [0.108117, 0.129741]...	solution exists & found.
	Iteration #006: testing norm threshold 0.113523 in range [0.108117, 0.118929]...	solution exists & found.
	Iteration #007: testing norm threshold 0.110820 in range [0.108117, 0.113523]...	no solution exists.
	Iteration #008: testing norm threshold 0.112172 in range [0.110820, 0.113523]...	solution exists & found.
	Iteration #009: testing norm threshold 0.111496 in range [0.110820, 0.112172]...	no solution exists.
	Iteration #010: testing norm threshold 0.111834 in range [0.111496, 0.112172]...	solution exists & found.
	Iteration #011: testing norm threshold 0.111665 in range [0.111496, 0.111834]...	solution exists & found.
	Iteration #012: testing norm threshold 0.111581 in range [0.111496, 0.111665]...	no solution exists.
	Iteration #013: testing norm threshold 0.111623 in range [0.111581, 0.111665]...	solution exists & found.
	Iteration #014: testing norm threshold 0.111602 in range [0.111581, 0.111623]...	no solution exists.
	Iteration #015: testing norm threshold 0.111613 in range [0.111602, 0.111623]...	no solution exists.
	Iteration #016: testing norm threshold 0.111618 in range [0.111613, 0.111623]...	no solution exists.


Factual sample: 		 {x0 : -0.8162046587619045, x1 : -2.612690549642645, y: False}
Nearest counterfactual sample:	 {x0 : 1.9112703563997924, x1 : -2.6126912685154045, y: True} (verified)
Minimum counterfactual distance: 0.111623
