

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


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 0.140729 in range [0.000000, 0.281458]...	no solution exists.
	Iteration #003: testing norm threshold 0.211094 in range [0.140729, 0.281458]...	solution exists & found.
	Iteration #004: testing norm threshold 0.175911 in range [0.140729, 0.211094]...	no solution exists.
	Iteration #005: testing norm threshold 0.193503 in range [0.175911, 0.211094]...	solution exists & found.
	Iteration #006: testing norm threshold 0.184707 in range [0.175911, 0.193503]...	no solution exists.
	Iteration #007: testing norm threshold 0.189105 in range [0.184707, 0.193503]...	no solution exists.
	Iteration #008: testing norm threshold 0.191304 in range [0.189105, 0.193503]...	solution exists & found.
	Iteration #009: testing norm threshold 0.190204 in range [0.189105, 0.191304]...	solution exists & found.
	Iteration #010: testing norm threshold 0.189655 in range [0.189105, 0.190205]...	solution exists & found.
	Iteration #011: testing norm threshold 0.189380 in range [0.189105, 0.189655]...	solution exists & found.
	Iteration #012: testing norm threshold 0.189242 in range [0.189105, 0.189380]...	no solution exists.
	Iteration #013: testing norm threshold 0.189311 in range [0.189242, 0.189380]...	solution exists & found.
	Iteration #014: testing norm threshold 0.189277 in range [0.189242, 0.189311]...	solution exists & found.
	Iteration #015: testing norm threshold 0.189260 in range [0.189242, 0.189277]...	no solution exists.
	Iteration #016: testing norm threshold 0.189268 in range [0.189260, 0.189277]...	no solution exists.


Factual sample: 		 {x0 : -2.509367391060185, x1 : -2.8781675456854754, y: False}
Nearest counterfactual sample:	 {x0 : 2.1152982257918427, x1 : -2.8779267825468873, y: True} (verified)
Minimum counterfactual distance: 0.189277
