

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


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 0.191095 in range [0.000000, 0.382191]...	no solution exists.
	Iteration #003: testing norm threshold 0.286643 in range [0.191095, 0.382191]...	solution exists & found.
	Iteration #004: testing norm threshold 0.238869 in range [0.191095, 0.286643]...	no solution exists.
	Iteration #005: testing norm threshold 0.262756 in range [0.238869, 0.286643]...	solution exists & found.
	Iteration #006: testing norm threshold 0.250813 in range [0.238869, 0.262756]...	no solution exists.
	Iteration #007: testing norm threshold 0.256785 in range [0.250813, 0.262756]...	no solution exists.
	Iteration #008: testing norm threshold 0.259771 in range [0.256785, 0.262756]...	no solution exists.
	Iteration #009: testing norm threshold 0.261263 in range [0.259771, 0.262756]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260517 in range [0.259771, 0.261264]...	no solution exists.
	Iteration #011: testing norm threshold 0.260890 in range [0.260517, 0.261264]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260704 in range [0.260517, 0.260890]...	no solution exists.
	Iteration #013: testing norm threshold 0.260797 in range [0.260704, 0.260890]...	no solution exists.
	Iteration #014: testing norm threshold 0.260844 in range [0.260797, 0.260890]...	solution exists & found.
	Iteration #015: testing norm threshold 0.260820 in range [0.260797, 0.260844]...	solution exists & found.
	Iteration #016: testing norm threshold 0.260809 in range [0.260797, 0.260821]...	solution exists & found.
	Iteration #017: testing norm threshold 0.260803 in range [0.260797, 0.260809]...	solution exists & found.


Factual sample: 		 {x0 : -4.3186580461207456, x1 : -2.7982177492177382, y: False}
Nearest counterfactual sample:	 {x0 : 2.053986268527595, x1 : -2.7982177492177382, y: True} (verified)
Minimum counterfactual distance: 0.260803
