

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


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 0.127275 in range [0.000000, 0.254551]...	no solution exists.
	Iteration #003: testing norm threshold 0.190913 in range [0.127275, 0.254551]...	solution exists & found.
	Iteration #004: testing norm threshold 0.159094 in range [0.127275, 0.190913]...	no solution exists.
	Iteration #005: testing norm threshold 0.175004 in range [0.159094, 0.190913]...	solution exists & found.
	Iteration #006: testing norm threshold 0.167049 in range [0.159094, 0.175004]...	no solution exists.
	Iteration #007: testing norm threshold 0.171026 in range [0.167049, 0.175004]...	solution exists & found.
	Iteration #008: testing norm threshold 0.169038 in range [0.167049, 0.171026]...	no solution exists.
	Iteration #009: testing norm threshold 0.170032 in range [0.169038, 0.171026]...	solution exists & found.
	Iteration #010: testing norm threshold 0.169535 in range [0.169038, 0.170032]...	no solution exists.
	Iteration #011: testing norm threshold 0.169783 in range [0.169535, 0.170032]...	no solution exists.
	Iteration #012: testing norm threshold 0.169908 in range [0.169783, 0.170032]...	no solution exists.
	Iteration #013: testing norm threshold 0.169970 in range [0.169908, 0.170032]...	no solution exists.
	Iteration #014: testing norm threshold 0.170001 in range [0.169970, 0.170032]...	no solution exists.
	Iteration #015: testing norm threshold 0.170017 in range [0.170001, 0.170032]...	solution exists & found.
	Iteration #016: testing norm threshold 0.170009 in range [0.170001, 0.170017]...	no solution exists.


Factual sample: 		 {x0 : -2.8533407406715323, x1 : -1.8187750752605505, y: False}
Nearest counterfactual sample:	 {x0 : 1.3006441956766865, x1 : -1.8184774564308581, y: True} (verified)
Minimum counterfactual distance: 0.170017
