

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


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 0.161517 in range [0.000000, 0.323035]...	no solution exists.
	Iteration #003: testing norm threshold 0.242276 in range [0.161517, 0.323035]...	solution exists & found.
	Iteration #004: testing norm threshold 0.201897 in range [0.161517, 0.242276]...	no solution exists.
	Iteration #005: testing norm threshold 0.222086 in range [0.201897, 0.242276]...	solution exists & found.
	Iteration #006: testing norm threshold 0.211992 in range [0.201897, 0.222087]...	no solution exists.
	Iteration #007: testing norm threshold 0.217039 in range [0.211992, 0.222087]...	no solution exists.
	Iteration #008: testing norm threshold 0.219563 in range [0.217039, 0.222087]...	solution exists & found.
	Iteration #009: testing norm threshold 0.218301 in range [0.217039, 0.219563]...	no solution exists.
	Iteration #010: testing norm threshold 0.218932 in range [0.218301, 0.219563]...	no solution exists.
	Iteration #011: testing norm threshold 0.219247 in range [0.218932, 0.219563]...	solution exists & found.
	Iteration #012: testing norm threshold 0.219090 in range [0.218932, 0.219248]...	solution exists & found.
	Iteration #013: testing norm threshold 0.219011 in range [0.218932, 0.219090]...	no solution exists.
	Iteration #014: testing norm threshold 0.219050 in range [0.219011, 0.219090]...	solution exists & found.
	Iteration #015: testing norm threshold 0.219031 in range [0.219011, 0.219050]...	no solution exists.
	Iteration #016: testing norm threshold 0.219041 in range [0.219031, 0.219050]...	solution exists & found.


Factual sample: 		 {x0 : -2.9412472703956647, x1 : -3.2622619047275188, y: False}
Nearest counterfactual sample:	 {x0 : 2.410864676421066, x1 : -3.26233704361518, y: True} (verified)
Minimum counterfactual distance: 0.219041
