

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


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 0.183483 in range [0.000000, 0.366966]...	no solution exists.
	Iteration #003: testing norm threshold 0.275225 in range [0.183483, 0.366966]...	solution exists & found.
	Iteration #004: testing norm threshold 0.229354 in range [0.183483, 0.275225]...	no solution exists.
	Iteration #005: testing norm threshold 0.252289 in range [0.229354, 0.275225]...	no solution exists.
	Iteration #006: testing norm threshold 0.263757 in range [0.252289, 0.275225]...	no solution exists.
	Iteration #007: testing norm threshold 0.269491 in range [0.263757, 0.275225]...	solution exists & found.
	Iteration #008: testing norm threshold 0.266624 in range [0.263757, 0.269491]...	solution exists & found.
	Iteration #009: testing norm threshold 0.265190 in range [0.263757, 0.266624]...	solution exists & found.
	Iteration #010: testing norm threshold 0.264474 in range [0.263757, 0.265191]...	solution exists & found.
	Iteration #011: testing norm threshold 0.264115 in range [0.263757, 0.264474]...	solution exists & found.
	Iteration #012: testing norm threshold 0.263936 in range [0.263757, 0.264115]...	solution exists & found.
	Iteration #013: testing norm threshold 0.263847 in range [0.263757, 0.263936]...	solution exists & found.
	Iteration #014: testing norm threshold 0.263802 in range [0.263757, 0.263847]...	no solution exists.
	Iteration #015: testing norm threshold 0.263824 in range [0.263802, 0.263847]...	no solution exists.
	Iteration #016: testing norm threshold 0.263835 in range [0.263824, 0.263847]...	no solution exists.
	Iteration #017: testing norm threshold 0.263841 in range [0.263835, 0.263847]...	no solution exists.


Factual sample: 		 {x0 : -4.049208987231907, x1 : -3.117737837408982, y: False}
Nearest counterfactual sample:	 {x0 : 2.3978028022878966, x1 : -3.117739643688372, y: True} (verified)
Minimum counterfactual distance: 0.263847
