

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


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 0.191247 in range [0.000000, 0.382494]...	no solution exists.
	Iteration #003: testing norm threshold 0.286870 in range [0.191247, 0.382494]...	solution exists & found.
	Iteration #004: testing norm threshold 0.239059 in range [0.191247, 0.286870]...	no solution exists.
	Iteration #005: testing norm threshold 0.262964 in range [0.239059, 0.286870]...	no solution exists.
	Iteration #006: testing norm threshold 0.274917 in range [0.262964, 0.286870]...	no solution exists.
	Iteration #007: testing norm threshold 0.280894 in range [0.274917, 0.286870]...	solution exists & found.
	Iteration #008: testing norm threshold 0.277906 in range [0.274917, 0.280894]...	solution exists & found.
	Iteration #009: testing norm threshold 0.276412 in range [0.274917, 0.277906]...	solution exists & found.
	Iteration #010: testing norm threshold 0.275665 in range [0.274917, 0.276412]...	solution exists & found.
	Iteration #011: testing norm threshold 0.275291 in range [0.274917, 0.275665]...	no solution exists.
	Iteration #012: testing norm threshold 0.275478 in range [0.275291, 0.275665]...	no solution exists.
	Iteration #013: testing norm threshold 0.275571 in range [0.275478, 0.275665]...	solution exists & found.
	Iteration #014: testing norm threshold 0.275525 in range [0.275478, 0.275571]...	no solution exists.
	Iteration #015: testing norm threshold 0.275548 in range [0.275525, 0.275571]...	solution exists & found.
	Iteration #016: testing norm threshold 0.275536 in range [0.275525, 0.275548]...	solution exists & found.
	Iteration #017: testing norm threshold 0.275531 in range [0.275525, 0.275536]...	no solution exists.


Factual sample: 		 {x0 : -3.431251680534218, x1 : -4.235113632231267, y: False}
Nearest counterfactual sample:	 {x0 : 3.30137089039342, x1 : -4.2350882314783265, y: True} (verified)
Minimum counterfactual distance: 0.275536
