

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


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 0.119753 in range [0.000000, 0.239506]...	no solution exists.
	Iteration #003: testing norm threshold 0.179630 in range [0.119753, 0.239506]...	no solution exists.
	Iteration #004: testing norm threshold 0.209568 in range [0.179630, 0.239506]...	no solution exists.
	Iteration #005: testing norm threshold 0.224537 in range [0.209568, 0.239506]...	no solution exists.
	Iteration #006: testing norm threshold 0.232022 in range [0.224537, 0.239506]...	solution exists & found.
	Iteration #007: testing norm threshold 0.228280 in range [0.224537, 0.232022]...	solution exists & found.
	Iteration #008: testing norm threshold 0.226408 in range [0.224537, 0.228280]...	no solution exists.
	Iteration #009: testing norm threshold 0.227344 in range [0.226408, 0.228280]...	solution exists & found.
	Iteration #010: testing norm threshold 0.226876 in range [0.226408, 0.227344]...	no solution exists.
	Iteration #011: testing norm threshold 0.227110 in range [0.226876, 0.227344]...	no solution exists.
	Iteration #012: testing norm threshold 0.227227 in range [0.227110, 0.227344]...	no solution exists.
	Iteration #013: testing norm threshold 0.227286 in range [0.227227, 0.227344]...	no solution exists.
	Iteration #014: testing norm threshold 0.227315 in range [0.227286, 0.227344]...	solution exists & found.
	Iteration #015: testing norm threshold 0.227300 in range [0.227286, 0.227315]...	solution exists & found.
	Iteration #016: testing norm threshold 0.227293 in range [0.227286, 0.227300]...	no solution exists.


Factual sample: 		 {x0 : -2.0719991950990244, x1 : -4.655290557028148, y: False}
Nearest counterfactual sample:	 {x0 : 3.482018653215622, x1 : -4.655290557028148, y: True} (verified)
Minimum counterfactual distance: 0.227300
