

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


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 0.147716 in range [0.000000, 0.295432]...	no solution exists.
	Iteration #003: testing norm threshold 0.221574 in range [0.147716, 0.295432]...	solution exists & found.
	Iteration #004: testing norm threshold 0.167127 in range [0.147716, 0.186537]...	no solution exists.
	Iteration #005: testing norm threshold 0.176832 in range [0.167127, 0.186537]...	solution exists & found.
	Iteration #006: testing norm threshold 0.171979 in range [0.167127, 0.176832]...	no solution exists.
	Iteration #007: testing norm threshold 0.174406 in range [0.171979, 0.176832]...	solution exists & found.
	Iteration #008: testing norm threshold 0.173193 in range [0.171979, 0.174406]...	no solution exists.
	Iteration #009: testing norm threshold 0.173799 in range [0.173193, 0.174406]...	no solution exists.
	Iteration #010: testing norm threshold 0.174102 in range [0.173799, 0.174406]...	no solution exists.
	Iteration #011: testing norm threshold 0.174254 in range [0.174102, 0.174406]...	solution exists & found.
	Iteration #012: testing norm threshold 0.174178 in range [0.174102, 0.174254]...	solution exists & found.
	Iteration #013: testing norm threshold 0.174140 in range [0.174102, 0.174178]...	solution exists & found.
	Iteration #014: testing norm threshold 0.174122 in range [0.174102, 0.174141]...	no solution exists.
	Iteration #015: testing norm threshold 0.174131 in range [0.174122, 0.174141]...	solution exists & found.


Factual sample: 		 {x0 : -2.4551540892573573, x1 : -2.378016497952594, y: False}
Nearest counterfactual sample:	 {x0 : 1.7995362134317505, x1 : -2.3778763452009417, y: True} (verified)
Minimum counterfactual distance: 0.174131
