

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


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 0.235878 in range [0.000000, 0.471757]...	no solution exists.
	Iteration #003: testing norm threshold 0.353818 in range [0.235878, 0.471757]...	no solution exists.
	Iteration #004: testing norm threshold 0.412787 in range [0.353818, 0.471757]...	solution exists & found.
	Iteration #005: testing norm threshold 0.383302 in range [0.353818, 0.412787]...	solution exists & found.
	Iteration #006: testing norm threshold 0.368560 in range [0.353818, 0.383302]...	solution exists & found.
	Iteration #007: testing norm threshold 0.361189 in range [0.353818, 0.368560]...	solution exists & found.
	Iteration #008: testing norm threshold 0.357503 in range [0.353818, 0.361189]...	solution exists & found.
	Iteration #009: testing norm threshold 0.355660 in range [0.353818, 0.357503]...	no solution exists.
	Iteration #010: testing norm threshold 0.356582 in range [0.355660, 0.357503]...	solution exists & found.
	Iteration #011: testing norm threshold 0.356121 in range [0.355660, 0.356582]...	solution exists & found.
	Iteration #012: testing norm threshold 0.355891 in range [0.355660, 0.356121]...	solution exists & found.
	Iteration #013: testing norm threshold 0.355776 in range [0.355660, 0.355891]...	solution exists & found.
	Iteration #014: testing norm threshold 0.355718 in range [0.355660, 0.355776]...	no solution exists.
	Iteration #015: testing norm threshold 0.355747 in range [0.355718, 0.355776]...	no solution exists.
	Iteration #016: testing norm threshold 0.355761 in range [0.355747, 0.355776]...	no solution exists.
	Iteration #017: testing norm threshold 0.355769 in range [0.355761, 0.355776]...	solution exists & found.


Factual sample: 		 {x0 : -5.77406168668692, x1 : -3.76219794876615, y: False}
Nearest counterfactual sample:	 {x0 : 2.91886577472781, x1 : -3.7620362711485207, y: True} (verified)
Minimum counterfactual distance: 0.355769
