

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


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 0.081570 in range [0.000000, 0.163139]...	no solution exists.
	Iteration #003: testing norm threshold 0.122354 in range [0.081570, 0.163139]...	no solution exists.
	Iteration #004: testing norm threshold 0.142747 in range [0.122354, 0.163139]...	no solution exists.
	Iteration #005: testing norm threshold 0.152943 in range [0.142747, 0.163139]...	solution exists & found.
	Iteration #006: testing norm threshold 0.147845 in range [0.142747, 0.152943]...	no solution exists.
	Iteration #007: testing norm threshold 0.150394 in range [0.147845, 0.152943]...	no solution exists.
	Iteration #008: testing norm threshold 0.151668 in range [0.150394, 0.152943]...	solution exists & found.
	Iteration #009: testing norm threshold 0.151031 in range [0.150394, 0.151669]...	solution exists & found.
	Iteration #010: testing norm threshold 0.150713 in range [0.150394, 0.151031]...	no solution exists.
	Iteration #011: testing norm threshold 0.150872 in range [0.150713, 0.151031]...	no solution exists.
	Iteration #012: testing norm threshold 0.150952 in range [0.150872, 0.151031]...	solution exists & found.
	Iteration #013: testing norm threshold 0.150912 in range [0.150872, 0.150952]...	no solution exists.
	Iteration #014: testing norm threshold 0.150932 in range [0.150912, 0.150952]...	solution exists & found.
	Iteration #015: testing norm threshold 0.150922 in range [0.150912, 0.150932]...	no solution exists.
	Iteration #016: testing norm threshold 0.150927 in range [0.150922, 0.150932]...	no solution exists.


Factual sample: 		 {x0 : -3.3874202127429656, x1 : -0.5179559272028156, y: False}
Nearest counterfactual sample:	 {x0 : 0.300533862056975, x1 : -0.5179750745110023, y: True} (verified)
Minimum counterfactual distance: 0.150932
