

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


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 0.132278 in range [0.000000, 0.264556]...	no solution exists.
	Iteration #003: testing norm threshold 0.198417 in range [0.132278, 0.264556]...	no solution exists.
	Iteration #004: testing norm threshold 0.231487 in range [0.198417, 0.264556]...	no solution exists.
	Iteration #005: testing norm threshold 0.248021 in range [0.231487, 0.264556]...	no solution exists.
	Iteration #006: testing norm threshold 0.256289 in range [0.248021, 0.264556]...	solution exists & found.
	Iteration #007: testing norm threshold 0.252155 in range [0.248021, 0.256289]...	solution exists & found.
	Iteration #008: testing norm threshold 0.250088 in range [0.248021, 0.252155]...	no solution exists.
	Iteration #009: testing norm threshold 0.251122 in range [0.250088, 0.252155]...	no solution exists.
	Iteration #010: testing norm threshold 0.251638 in range [0.251122, 0.252155]...	no solution exists.
	Iteration #011: testing norm threshold 0.251897 in range [0.251638, 0.252155]...	no solution exists.
	Iteration #012: testing norm threshold 0.252026 in range [0.251897, 0.252155]...	no solution exists.
	Iteration #013: testing norm threshold 0.252091 in range [0.252026, 0.252155]...	no solution exists.
	Iteration #014: testing norm threshold 0.252123 in range [0.252091, 0.252155]...	no solution exists.
	Iteration #015: testing norm threshold 0.252139 in range [0.252123, 0.252155]...	no solution exists.
	Iteration #016: testing norm threshold 0.252147 in range [0.252139, 0.252155]...	solution exists & found.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.7760292731757685, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.252147
