

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


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 0.197590 in range [0.000000, 0.395179]...	no solution exists.
	Iteration #003: testing norm threshold 0.296384 in range [0.197590, 0.395179]...	solution exists & found.
	Iteration #004: testing norm threshold 0.246987 in range [0.197590, 0.296384]...	no solution exists.
	Iteration #005: testing norm threshold 0.271686 in range [0.246987, 0.296384]...	no solution exists.
	Iteration #006: testing norm threshold 0.284035 in range [0.271686, 0.296384]...	no solution exists.
	Iteration #007: testing norm threshold 0.290210 in range [0.284035, 0.296384]...	solution exists & found.
	Iteration #008: testing norm threshold 0.287122 in range [0.284035, 0.290210]...	solution exists & found.
	Iteration #009: testing norm threshold 0.285579 in range [0.284035, 0.287123]...	solution exists & found.
	Iteration #010: testing norm threshold 0.284807 in range [0.284035, 0.285579]...	no solution exists.
	Iteration #011: testing norm threshold 0.285193 in range [0.284807, 0.285579]...	solution exists & found.
	Iteration #012: testing norm threshold 0.285000 in range [0.284807, 0.285193]...	no solution exists.
	Iteration #013: testing norm threshold 0.285097 in range [0.285000, 0.285193]...	solution exists & found.
	Iteration #014: testing norm threshold 0.285048 in range [0.285000, 0.285097]...	no solution exists.
	Iteration #015: testing norm threshold 0.285072 in range [0.285048, 0.285097]...	no solution exists.
	Iteration #016: testing norm threshold 0.285085 in range [0.285072, 0.285097]...	no solution exists.
	Iteration #017: testing norm threshold 0.285091 in range [0.285085, 0.285097]...	solution exists & found.


Factual sample: 		 {x0 : -4.00618903174689, x1 : -3.812697933571919, y: False}
Nearest counterfactual sample:	 {x0 : 2.9596638872054326, x1 : -3.812463462817591, y: True} (verified)
Minimum counterfactual distance: 0.285091
