

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


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 0.113502 in range [0.000000, 0.227004]...	no solution exists.
	Iteration #003: testing norm threshold 0.170253 in range [0.113502, 0.227004]...	no solution exists.
	Iteration #004: testing norm threshold 0.198629 in range [0.170253, 0.227004]...	solution exists & found.
	Iteration #005: testing norm threshold 0.184441 in range [0.170253, 0.198629]...	solution exists & found.
	Iteration #006: testing norm threshold 0.177347 in range [0.170253, 0.184441]...	solution exists & found.
	Iteration #007: testing norm threshold 0.173800 in range [0.170253, 0.177347]...	no solution exists.
	Iteration #008: testing norm threshold 0.175574 in range [0.173800, 0.177347]...	no solution exists.
	Iteration #009: testing norm threshold 0.176461 in range [0.175574, 0.177347]...	no solution exists.
	Iteration #010: testing norm threshold 0.176904 in range [0.176461, 0.177347]...	no solution exists.
	Iteration #011: testing norm threshold 0.177126 in range [0.176904, 0.177347]...	solution exists & found.
	Iteration #012: testing norm threshold 0.177015 in range [0.176904, 0.177126]...	no solution exists.
	Iteration #013: testing norm threshold 0.177070 in range [0.177015, 0.177126]...	no solution exists.
	Iteration #014: testing norm threshold 0.177098 in range [0.177070, 0.177126]...	solution exists & found.
	Iteration #015: testing norm threshold 0.177084 in range [0.177070, 0.177098]...	solution exists & found.
	Iteration #016: testing norm threshold 0.177077 in range [0.177070, 0.177084]...	no solution exists.


Factual sample: 		 {x0 : -2.92955941320506, x1 : -1.9443171517936029, y: False}
Nearest counterfactual sample:	 {x0 : 1.3972264865104633, x1 : -1.9441182651693174, y: True} (verified)
Minimum counterfactual distance: 0.177084
