

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.158049 in range [0.000000, 0.316099]...	no solution exists.
	Iteration #003: testing norm threshold 0.237074 in range [0.158049, 0.316099]...	no solution exists.
	Iteration #004: testing norm threshold 0.276586 in range [0.237074, 0.316099]...	solution exists & found.
	Iteration #005: testing norm threshold 0.256830 in range [0.237074, 0.276586]...	solution exists & found.
	Iteration #006: testing norm threshold 0.246952 in range [0.237074, 0.256830]...	solution exists & found.
	Iteration #007: testing norm threshold 0.242013 in range [0.237074, 0.246952]...	no solution exists.
	Iteration #008: testing norm threshold 0.244483 in range [0.242013, 0.246952]...	solution exists & found.
	Iteration #009: testing norm threshold 0.243248 in range [0.242013, 0.244483]...	solution exists & found.
	Iteration #010: testing norm threshold 0.242631 in range [0.242013, 0.243248]...	no solution exists.
	Iteration #011: testing norm threshold 0.242939 in range [0.242631, 0.243248]...	no solution exists.
	Iteration #012: testing norm threshold 0.243094 in range [0.242939, 0.243248]...	no solution exists.
	Iteration #013: testing norm threshold 0.243171 in range [0.243094, 0.243248]...	solution exists & found.
	Iteration #014: testing norm threshold 0.243132 in range [0.243094, 0.243171]...	solution exists & found.
	Iteration #015: testing norm threshold 0.243113 in range [0.243094, 0.243132]...	no solution exists.
	Iteration #016: testing norm threshold 0.243123 in range [0.243113, 0.243132]...	solution exists & found.


Factual sample: 		 {x0 : -3.539192760340102, x1 : -2.6489432915915234, y: False}
Nearest counterfactual sample:	 {x0 : 2.256475513426105, x1 : -2.6489432915915234, y: True} (verified)
Minimum counterfactual distance: 0.243123
