

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


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 0.139436 in range [0.000000, 0.278871]...	no solution exists.
	Iteration #003: testing norm threshold 0.209153 in range [0.139436, 0.278871]...	no solution exists.
	Iteration #004: testing norm threshold 0.244012 in range [0.209153, 0.278871]...	solution exists & found.
	Iteration #005: testing norm threshold 0.225154 in range [0.209153, 0.241155]...	no solution exists.
	Iteration #006: testing norm threshold 0.233155 in range [0.225154, 0.241155]...	solution exists & found.
	Iteration #007: testing norm threshold 0.229155 in range [0.225154, 0.233155]...	solution exists & found.
	Iteration #008: testing norm threshold 0.227155 in range [0.225154, 0.229155]...	no solution exists.
	Iteration #009: testing norm threshold 0.228155 in range [0.227155, 0.229155]...	no solution exists.
	Iteration #010: testing norm threshold 0.228655 in range [0.228155, 0.229155]...	no solution exists.
	Iteration #011: testing norm threshold 0.228905 in range [0.228655, 0.229155]...	no solution exists.
	Iteration #012: testing norm threshold 0.229030 in range [0.228905, 0.229155]...	solution exists & found.
	Iteration #013: testing norm threshold 0.228967 in range [0.228905, 0.229030]...	solution exists & found.
	Iteration #014: testing norm threshold 0.228936 in range [0.228905, 0.228967]...	no solution exists.
	Iteration #015: testing norm threshold 0.228952 in range [0.228936, 0.228967]...	solution exists & found.
	Iteration #016: testing norm threshold 0.228944 in range [0.228936, 0.228952]...	no solution exists.


Factual sample: 		 {x0 : -2.79803667847525, x1 : -3.763503862412448, y: False}
Nearest counterfactual sample:	 {x0 : 2.796332364577345, x1 : -3.763503862412448, y: True} (verified)
Minimum counterfactual distance: 0.228952
