

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


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 0.100546 in range [0.000000, 0.201091]...	no solution exists.
	Iteration #003: testing norm threshold 0.150818 in range [0.100546, 0.201091]...	no solution exists.
	Iteration #004: testing norm threshold 0.175955 in range [0.150818, 0.201091]...	no solution exists.
	Iteration #005: testing norm threshold 0.188523 in range [0.175955, 0.201091]...	no solution exists.
	Iteration #006: testing norm threshold 0.194807 in range [0.188523, 0.201091]...	solution exists & found.
	Iteration #007: testing norm threshold 0.191665 in range [0.188523, 0.194807]...	solution exists & found.
	Iteration #008: testing norm threshold 0.190094 in range [0.188523, 0.191665]...	solution exists & found.
	Iteration #009: testing norm threshold 0.189308 in range [0.188523, 0.190094]...	solution exists & found.
	Iteration #010: testing norm threshold 0.188916 in range [0.188523, 0.189309]...	solution exists & found.
	Iteration #011: testing norm threshold 0.188719 in range [0.188523, 0.188916]...	solution exists & found.
	Iteration #012: testing norm threshold 0.188621 in range [0.188523, 0.188719]...	no solution exists.
	Iteration #013: testing norm threshold 0.188670 in range [0.188621, 0.188719]...	no solution exists.
	Iteration #014: testing norm threshold 0.188695 in range [0.188670, 0.188719]...	solution exists & found.
	Iteration #015: testing norm threshold 0.188683 in range [0.188670, 0.188695]...	solution exists & found.
	Iteration #016: testing norm threshold 0.188677 in range [0.188670, 0.188683]...	no solution exists.


Factual sample: 		 {x0 : -3.302216849192826, x1 : -1.7702972674443205, y: False}
Nearest counterfactual sample:	 {x0 : 1.3081881154962978, x1 : -1.7702972674443205, y: True} (verified)
Minimum counterfactual distance: 0.188683
