

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


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 0.132011 in range [0.000000, 0.264022]...	no solution exists.
	Iteration #003: testing norm threshold 0.198016 in range [0.132011, 0.264022]...	no solution exists.
	Iteration #004: testing norm threshold 0.231019 in range [0.198016, 0.264022]...	solution exists & found.
	Iteration #005: testing norm threshold 0.214518 in range [0.198016, 0.231019]...	solution exists & found.
	Iteration #006: testing norm threshold 0.206267 in range [0.198016, 0.214518]...	no solution exists.
	Iteration #007: testing norm threshold 0.210393 in range [0.206267, 0.214518]...	no solution exists.
	Iteration #008: testing norm threshold 0.212455 in range [0.210393, 0.214518]...	no solution exists.
	Iteration #009: testing norm threshold 0.213487 in range [0.212455, 0.214518]...	no solution exists.
	Iteration #010: testing norm threshold 0.214002 in range [0.213487, 0.214518]...	no solution exists.
	Iteration #011: testing norm threshold 0.214260 in range [0.214002, 0.214518]...	solution exists & found.
	Iteration #012: testing norm threshold 0.214131 in range [0.214002, 0.214260]...	solution exists & found.
	Iteration #013: testing norm threshold 0.214067 in range [0.214002, 0.214131]...	no solution exists.
	Iteration #014: testing norm threshold 0.214099 in range [0.214067, 0.214131]...	solution exists & found.
	Iteration #015: testing norm threshold 0.214083 in range [0.214067, 0.214099]...	no solution exists.
	Iteration #016: testing norm threshold 0.214091 in range [0.214083, 0.214099]...	no solution exists.


Factual sample: 		 {x0 : -2.20569444883507, x1 : -4.061960161056385, y: False}
Nearest counterfactual sample:	 {x0 : 3.025653316110762, x1 : -4.0618682275921305, y: True} (verified)
Minimum counterfactual distance: 0.214099
