

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


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 0.112555 in range [0.000000, 0.225110]...	no solution exists.
	Iteration #003: testing norm threshold 0.168833 in range [0.112555, 0.225110]...	no solution exists.
	Iteration #004: testing norm threshold 0.196971 in range [0.168833, 0.225110]...	no solution exists.
	Iteration #005: testing norm threshold 0.211041 in range [0.196971, 0.225110]...	no solution exists.
	Iteration #006: testing norm threshold 0.218076 in range [0.211041, 0.225110]...	solution exists & found.
	Iteration #007: testing norm threshold 0.214558 in range [0.211041, 0.218076]...	solution exists & found.
	Iteration #008: testing norm threshold 0.212800 in range [0.211041, 0.214558]...	solution exists & found.
	Iteration #009: testing norm threshold 0.211920 in range [0.211041, 0.212800]...	no solution exists.
	Iteration #010: testing norm threshold 0.212360 in range [0.211920, 0.212800]...	no solution exists.
	Iteration #011: testing norm threshold 0.212580 in range [0.212360, 0.212800]...	no solution exists.
	Iteration #012: testing norm threshold 0.212690 in range [0.212580, 0.212800]...	no solution exists.
	Iteration #013: testing norm threshold 0.212745 in range [0.212690, 0.212800]...	solution exists & found.
	Iteration #014: testing norm threshold 0.212717 in range [0.212690, 0.212745]...	solution exists & found.
	Iteration #015: testing norm threshold 0.212704 in range [0.212690, 0.212717]...	solution exists & found.
	Iteration #016: testing norm threshold 0.212697 in range [0.212690, 0.212704]...	no solution exists.


Factual sample: 		 {x0 : -2.787213279610851, x1 : -3.132916475274508, y: False}
Nearest counterfactual sample:	 {x0 : 2.41013600764446, x1 : -3.132916475274508, y: True} (verified)
Minimum counterfactual distance: 0.212704
