

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.113502 in range [0.000000, 0.227004]...	no solution exists.
	Iteration #003: testing norm threshold 0.170253 in range [0.113502, 0.227004]...	no solution exists.
	Iteration #004: testing norm threshold 0.198629 in range [0.170253, 0.227004]...	solution exists & found.
	Iteration #005: testing norm threshold 0.179771 in range [0.170253, 0.189288]...	solution exists & found.
	Iteration #006: testing norm threshold 0.175012 in range [0.170253, 0.179771]...	no solution exists.
	Iteration #007: testing norm threshold 0.177391 in range [0.175012, 0.179771]...	solution exists & found.
	Iteration #008: testing norm threshold 0.176202 in range [0.175012, 0.177392]...	no solution exists.
	Iteration #009: testing norm threshold 0.176797 in range [0.176202, 0.177392]...	no solution exists.
	Iteration #010: testing norm threshold 0.177094 in range [0.176797, 0.177392]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176945 in range [0.176797, 0.177094]...	no solution exists.
	Iteration #012: testing norm threshold 0.177020 in range [0.176945, 0.177094]...	no solution exists.
	Iteration #013: testing norm threshold 0.177057 in range [0.177020, 0.177094]...	no solution exists.
	Iteration #014: testing norm threshold 0.177076 in range [0.177057, 0.177094]...	no solution exists.
	Iteration #015: testing norm threshold 0.177085 in range [0.177076, 0.177094]...	solution exists & found.


Factual sample: 		 {x0 : -2.92955941320506, x1 : -1.9443171517936029, y: False}
Nearest counterfactual sample:	 {x0 : 1.3973973751579958, x1 : -1.9443747536598077, y: True} (verified)
Minimum counterfactual distance: 0.177085
