

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


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 0.171134 in range [0.000000, 0.342268]...	no solution exists.
	Iteration #003: testing norm threshold 0.256701 in range [0.171134, 0.342268]...	solution exists & found.
	Iteration #004: testing norm threshold 0.213917 in range [0.171134, 0.256701]...	no solution exists.
	Iteration #005: testing norm threshold 0.235309 in range [0.213917, 0.256701]...	no solution exists.
	Iteration #006: testing norm threshold 0.246005 in range [0.235309, 0.256701]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240657 in range [0.235309, 0.246005]...	no solution exists.
	Iteration #008: testing norm threshold 0.243331 in range [0.240657, 0.246005]...	no solution exists.
	Iteration #009: testing norm threshold 0.244668 in range [0.243331, 0.246005]...	no solution exists.
	Iteration #010: testing norm threshold 0.245337 in range [0.244668, 0.246005]...	solution exists & found.
	Iteration #011: testing norm threshold 0.245002 in range [0.244668, 0.245337]...	no solution exists.
	Iteration #012: testing norm threshold 0.245170 in range [0.245002, 0.245337]...	no solution exists.
	Iteration #013: testing norm threshold 0.245253 in range [0.245170, 0.245337]...	no solution exists.
	Iteration #014: testing norm threshold 0.245295 in range [0.245253, 0.245337]...	solution exists & found.
	Iteration #015: testing norm threshold 0.245274 in range [0.245253, 0.245295]...	solution exists & found.
	Iteration #016: testing norm threshold 0.245264 in range [0.245253, 0.245274]...	solution exists & found.
	Iteration #017: testing norm threshold 0.245258 in range [0.245253, 0.245264]...	solution exists & found.


Factual sample: 		 {x0 : -2.455823555337905, x1 : -4.526315482302748, y: False}
Nearest counterfactual sample:	 {x0 : 3.5367413413222066, x1 : -4.526078812920977, y: True} (verified)
Minimum counterfactual distance: 0.245258
