

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


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 0.202169 in range [0.000000, 0.404339]...	no solution exists.
	Iteration #003: testing norm threshold 0.303254 in range [0.202169, 0.404339]...	solution exists & found.
	Iteration #004: testing norm threshold 0.252712 in range [0.202169, 0.303254]...	no solution exists.
	Iteration #005: testing norm threshold 0.277983 in range [0.252712, 0.303254]...	solution exists & found.
	Iteration #006: testing norm threshold 0.265347 in range [0.252712, 0.277983]...	no solution exists.
	Iteration #007: testing norm threshold 0.271665 in range [0.265347, 0.277983]...	no solution exists.
	Iteration #008: testing norm threshold 0.274824 in range [0.271665, 0.277983]...	no solution exists.
	Iteration #009: testing norm threshold 0.276404 in range [0.274824, 0.277983]...	no solution exists.
	Iteration #010: testing norm threshold 0.277193 in range [0.276404, 0.277983]...	no solution exists.
	Iteration #011: testing norm threshold 0.277588 in range [0.277193, 0.277983]...	solution exists & found.
	Iteration #012: testing norm threshold 0.277391 in range [0.277193, 0.277588]...	solution exists & found.
	Iteration #013: testing norm threshold 0.277292 in range [0.277193, 0.277391]...	solution exists & found.
	Iteration #014: testing norm threshold 0.277243 in range [0.277193, 0.277292]...	solution exists & found.
	Iteration #015: testing norm threshold 0.277218 in range [0.277193, 0.277243]...	no solution exists.
	Iteration #016: testing norm threshold 0.277230 in range [0.277218, 0.277243]...	no solution exists.
	Iteration #017: testing norm threshold 0.277237 in range [0.277230, 0.277243]...	solution exists & found.


Factual sample: 		 {x0 : -4.1680605780027244, x1 : -3.5162516446079115, y: False}
Nearest counterfactual sample:	 {x0 : 2.606019910083142, x1 : -3.516145022196718, y: True} (verified)
Minimum counterfactual distance: 0.277237
