

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


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 0.131135 in range [0.000000, 0.262270]...	no solution exists.
	Iteration #003: testing norm threshold 0.196702 in range [0.131135, 0.262270]...	no solution exists.
	Iteration #004: testing norm threshold 0.229486 in range [0.196702, 0.262270]...	solution exists & found.
	Iteration #005: testing norm threshold 0.213094 in range [0.196702, 0.229486]...	solution exists & found.
	Iteration #006: testing norm threshold 0.204899 in range [0.196702, 0.213095]...	no solution exists.
	Iteration #007: testing norm threshold 0.208997 in range [0.204899, 0.213095]...	no solution exists.
	Iteration #008: testing norm threshold 0.211046 in range [0.208997, 0.213095]...	no solution exists.
	Iteration #009: testing norm threshold 0.212070 in range [0.211046, 0.213095]...	no solution exists.
	Iteration #010: testing norm threshold 0.212582 in range [0.212070, 0.213095]...	solution exists & found.
	Iteration #011: testing norm threshold 0.212326 in range [0.212070, 0.212582]...	no solution exists.
	Iteration #012: testing norm threshold 0.212454 in range [0.212326, 0.212582]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212390 in range [0.212326, 0.212454]...	solution exists & found.
	Iteration #014: testing norm threshold 0.212358 in range [0.212326, 0.212390]...	solution exists & found.
	Iteration #015: testing norm threshold 0.212342 in range [0.212326, 0.212358]...	no solution exists.
	Iteration #016: testing norm threshold 0.212350 in range [0.212342, 0.212358]...	solution exists & found.


Factual sample: 		 {x0 : -2.783500256338053, x1 : -3.254878324426816, y: False}
Nearest counterfactual sample:	 {x0 : 2.4049830680188844, x1 : -3.2546597869148, y: True} (verified)
Minimum counterfactual distance: 0.212350
