

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


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 0.119040 in range [0.000000, 0.238081]...	no solution exists.
	Iteration #003: testing norm threshold 0.178561 in range [0.119040, 0.238081]...	solution exists & found.
	Iteration #004: testing norm threshold 0.148800 in range [0.119040, 0.178561]...	no solution exists.
	Iteration #005: testing norm threshold 0.163681 in range [0.148800, 0.178561]...	no solution exists.
	Iteration #006: testing norm threshold 0.171121 in range [0.163681, 0.178561]...	solution exists & found.
	Iteration #007: testing norm threshold 0.167401 in range [0.163681, 0.171121]...	solution exists & found.
	Iteration #008: testing norm threshold 0.165541 in range [0.163681, 0.167401]...	no solution exists.
	Iteration #009: testing norm threshold 0.166471 in range [0.165541, 0.167401]...	no solution exists.
	Iteration #010: testing norm threshold 0.166936 in range [0.166471, 0.167401]...	solution exists & found.
	Iteration #011: testing norm threshold 0.166703 in range [0.166471, 0.166936]...	no solution exists.
	Iteration #012: testing norm threshold 0.166820 in range [0.166703, 0.166936]...	no solution exists.
	Iteration #013: testing norm threshold 0.166878 in range [0.166820, 0.166936]...	solution exists & found.
	Iteration #014: testing norm threshold 0.166849 in range [0.166820, 0.166878]...	solution exists & found.
	Iteration #015: testing norm threshold 0.166834 in range [0.166820, 0.166849]...	solution exists & found.
	Iteration #016: testing norm threshold 0.166827 in range [0.166820, 0.166834]...	solution exists & found.


Factual sample: 		 {x0 : -1.986852545086174, x1 : -2.7363097147507576, y: False}
Nearest counterfactual sample:	 {x0 : 2.0891879079442326, x1 : -2.7360074502828304, y: True} (verified)
Minimum counterfactual distance: 0.166827
