

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


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 0.083733 in range [0.000000, 0.167467]...	no solution exists.
	Iteration #003: testing norm threshold 0.125600 in range [0.083733, 0.167467]...	no solution exists.
	Iteration #004: testing norm threshold 0.146533 in range [0.125600, 0.167467]...	no solution exists.
	Iteration #005: testing norm threshold 0.157000 in range [0.146533, 0.167467]...	solution exists & found.
	Iteration #006: testing norm threshold 0.151767 in range [0.146533, 0.157000]...	no solution exists.
	Iteration #007: testing norm threshold 0.154383 in range [0.151767, 0.157000]...	no solution exists.
	Iteration #008: testing norm threshold 0.155692 in range [0.154383, 0.157000]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155038 in range [0.154383, 0.155692]...	no solution exists.
	Iteration #010: testing norm threshold 0.155365 in range [0.155038, 0.155692]...	solution exists & found.
	Iteration #011: testing norm threshold 0.155201 in range [0.155038, 0.155365]...	no solution exists.
	Iteration #012: testing norm threshold 0.155283 in range [0.155201, 0.155365]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155242 in range [0.155201, 0.155283]...	no solution exists.
	Iteration #014: testing norm threshold 0.155263 in range [0.155242, 0.155283]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155252 in range [0.155242, 0.155263]...	no solution exists.
	Iteration #016: testing norm threshold 0.155258 in range [0.155252, 0.155263]...	solution exists & found.


Factual sample: 		 {x0 : -3.5782975478751524, x1 : -0.4072392649884975, y: False}
Nearest counterfactual sample:	 {x0 : 0.21536869423487112, x1 : -0.40723360441540973, y: True} (verified)
Minimum counterfactual distance: 0.155258
