

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


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 0.132068 in range [0.000000, 0.264137]...	no solution exists.
	Iteration #003: testing norm threshold 0.198102 in range [0.132068, 0.264137]...	no solution exists.
	Iteration #004: testing norm threshold 0.231120 in range [0.198102, 0.264137]...	no solution exists.
	Iteration #005: testing norm threshold 0.247628 in range [0.231120, 0.264137]...	no solution exists.
	Iteration #006: testing norm threshold 0.255882 in range [0.247628, 0.264137]...	solution exists & found.
	Iteration #007: testing norm threshold 0.251755 in range [0.247628, 0.255882]...	solution exists & found.
	Iteration #008: testing norm threshold 0.249692 in range [0.247628, 0.251755]...	no solution exists.
	Iteration #009: testing norm threshold 0.250724 in range [0.249692, 0.251755]...	no solution exists.
	Iteration #010: testing norm threshold 0.251239 in range [0.250724, 0.251755]...	no solution exists.
	Iteration #011: testing norm threshold 0.251497 in range [0.251239, 0.251755]...	no solution exists.
	Iteration #012: testing norm threshold 0.251626 in range [0.251497, 0.251755]...	no solution exists.
	Iteration #013: testing norm threshold 0.251691 in range [0.251626, 0.251755]...	no solution exists.
	Iteration #014: testing norm threshold 0.251723 in range [0.251691, 0.251755]...	no solution exists.
	Iteration #015: testing norm threshold 0.251739 in range [0.251723, 0.251755]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251731 in range [0.251723, 0.251739]...	solution exists & found.


Factual sample: 		 {x0 : -3.209982731051446, x1 : -3.7893400497136778, y: False}
Nearest counterfactual sample:	 {x0 : 2.9408081239569936, x1 : -3.789166293750454, y: True} (verified)
Minimum counterfactual distance: 0.251731
