

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


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 0.211468 in range [0.000000, 0.422936]...	no solution exists.
	Iteration #003: testing norm threshold 0.317202 in range [0.211468, 0.422936]...	solution exists & found.
	Iteration #004: testing norm threshold 0.264335 in range [0.211468, 0.317202]...	no solution exists.
	Iteration #005: testing norm threshold 0.290768 in range [0.264335, 0.317202]...	solution exists & found.
	Iteration #006: testing norm threshold 0.277552 in range [0.264335, 0.290768]...	solution exists & found.
	Iteration #007: testing norm threshold 0.270943 in range [0.264335, 0.277552]...	no solution exists.
	Iteration #008: testing norm threshold 0.274247 in range [0.270943, 0.277552]...	no solution exists.
	Iteration #009: testing norm threshold 0.275900 in range [0.274247, 0.277552]...	no solution exists.
	Iteration #010: testing norm threshold 0.276726 in range [0.275900, 0.277552]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276313 in range [0.275900, 0.276726]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276106 in range [0.275900, 0.276313]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276003 in range [0.275900, 0.276106]...	no solution exists.
	Iteration #014: testing norm threshold 0.276055 in range [0.276003, 0.276106]...	solution exists & found.
	Iteration #015: testing norm threshold 0.276029 in range [0.276003, 0.276055]...	solution exists & found.
	Iteration #016: testing norm threshold 0.276016 in range [0.276003, 0.276029]...	solution exists & found.
	Iteration #017: testing norm threshold 0.276009 in range [0.276003, 0.276016]...	solution exists & found.


Factual sample: 		 {x0 : -4.083145260591804, x1 : -3.587717197932672, y: False}
Nearest counterfactual sample:	 {x0 : 2.660992610606389, x1 : -3.5876509782482278, y: True} (verified)
Minimum counterfactual distance: 0.276009
