

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


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 0.163469 in range [0.000000, 0.326938]...	no solution exists.
	Iteration #003: testing norm threshold 0.245204 in range [0.163469, 0.326938]...	solution exists & found.
	Iteration #004: testing norm threshold 0.204337 in range [0.163469, 0.245204]...	solution exists & found.
	Iteration #005: testing norm threshold 0.181198 in range [0.163469, 0.198926]...	no solution exists.
	Iteration #006: testing norm threshold 0.190062 in range [0.181198, 0.198926]...	solution exists & found.
	Iteration #007: testing norm threshold 0.185630 in range [0.181198, 0.190062]...	no solution exists.
	Iteration #008: testing norm threshold 0.187846 in range [0.185630, 0.190062]...	solution exists & found.
	Iteration #009: testing norm threshold 0.186738 in range [0.185630, 0.187846]...	solution exists & found.
	Iteration #010: testing norm threshold 0.186184 in range [0.185630, 0.186738]...	no solution exists.
	Iteration #011: testing norm threshold 0.186461 in range [0.186184, 0.186738]...	no solution exists.
	Iteration #012: testing norm threshold 0.186599 in range [0.186461, 0.186738]...	no solution exists.
	Iteration #013: testing norm threshold 0.186669 in range [0.186599, 0.186738]...	no solution exists.
	Iteration #014: testing norm threshold 0.186703 in range [0.186669, 0.186738]...	no solution exists.
	Iteration #015: testing norm threshold 0.186721 in range [0.186703, 0.186738]...	solution exists & found.
	Iteration #016: testing norm threshold 0.186712 in range [0.186703, 0.186721]...	no solution exists.


Factual sample: 		 {x0 : -2.601298364688454, x1 : -2.6774559825409896, y: False}
Nearest counterfactual sample:	 {x0 : 1.9611648180909111, x1 : -2.6774559825409896, y: True} (verified)
Minimum counterfactual distance: 0.186721
