

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.109720 in range [0.000000, 0.219440]...	no solution exists.
	Iteration #003: testing norm threshold 0.164580 in range [0.109720, 0.219440]...	no solution exists.
	Iteration #004: testing norm threshold 0.192010 in range [0.164580, 0.219440]...	no solution exists.
	Iteration #005: testing norm threshold 0.205725 in range [0.192010, 0.219440]...	no solution exists.
	Iteration #006: testing norm threshold 0.212582 in range [0.205725, 0.219440]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209154 in range [0.205725, 0.212582]...	solution exists & found.
	Iteration #008: testing norm threshold 0.207439 in range [0.205725, 0.209154]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206582 in range [0.205725, 0.207439]...	no solution exists.
	Iteration #010: testing norm threshold 0.207011 in range [0.206582, 0.207439]...	no solution exists.
	Iteration #011: testing norm threshold 0.207225 in range [0.207011, 0.207439]...	no solution exists.
	Iteration #012: testing norm threshold 0.207332 in range [0.207225, 0.207439]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207279 in range [0.207225, 0.207332]...	solution exists & found.
	Iteration #014: testing norm threshold 0.207252 in range [0.207225, 0.207279]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207238 in range [0.207225, 0.207252]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207232 in range [0.207225, 0.207239]...	solution exists & found.


Factual sample: 		 {x0 : -1.9069081175757872, x1 : -4.2323387941248445, y: False}
Nearest counterfactual sample:	 {x0 : 3.1567265134188767, x1 : -4.232350992236291, y: True} (verified)
Minimum counterfactual distance: 0.207232
