

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


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 0.099697 in range [0.000000, 0.199393]...	no solution exists.
	Iteration #003: testing norm threshold 0.149545 in range [0.099697, 0.199393]...	no solution exists.
	Iteration #004: testing norm threshold 0.174469 in range [0.149545, 0.199393]...	no solution exists.
	Iteration #005: testing norm threshold 0.186931 in range [0.174469, 0.199393]...	no solution exists.
	Iteration #006: testing norm threshold 0.193162 in range [0.186931, 0.199393]...	solution exists & found.
	Iteration #007: testing norm threshold 0.190047 in range [0.186931, 0.193162]...	solution exists & found.
	Iteration #008: testing norm threshold 0.188489 in range [0.186931, 0.190047]...	solution exists & found.
	Iteration #009: testing norm threshold 0.187710 in range [0.186931, 0.188489]...	solution exists & found.
	Iteration #010: testing norm threshold 0.187321 in range [0.186931, 0.187710]...	solution exists & found.
	Iteration #011: testing norm threshold 0.187126 in range [0.186931, 0.187321]...	solution exists & found.
	Iteration #012: testing norm threshold 0.187029 in range [0.186931, 0.187126]...	solution exists & found.
	Iteration #013: testing norm threshold 0.186980 in range [0.186931, 0.187029]...	no solution exists.
	Iteration #014: testing norm threshold 0.187004 in range [0.186980, 0.187029]...	solution exists & found.
	Iteration #015: testing norm threshold 0.186992 in range [0.186980, 0.187004]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186986 in range [0.186980, 0.186992]...	solution exists & found.


Factual sample: 		 {x0 : -2.852817929289429, x1 : -2.2747254416479885, y: False}
Nearest counterfactual sample:	 {x0 : 1.7160335232394786, x1 : -2.2746319310328666, y: True} (verified)
Minimum counterfactual distance: 0.186986
