

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


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 0.088918 in range [0.000000, 0.177836]...	no solution exists.
	Iteration #003: testing norm threshold 0.133377 in range [0.088918, 0.177836]...	solution exists & found.
	Iteration #004: testing norm threshold 0.111148 in range [0.088918, 0.133377]...	no solution exists.
	Iteration #005: testing norm threshold 0.122263 in range [0.111148, 0.133377]...	no solution exists.
	Iteration #006: testing norm threshold 0.127820 in range [0.122263, 0.133377]...	solution exists & found.
	Iteration #007: testing norm threshold 0.125041 in range [0.122263, 0.127820]...	no solution exists.
	Iteration #008: testing norm threshold 0.126431 in range [0.125041, 0.127820]...	no solution exists.
	Iteration #009: testing norm threshold 0.127125 in range [0.126431, 0.127820]...	solution exists & found.
	Iteration #010: testing norm threshold 0.126778 in range [0.126431, 0.127126]...	no solution exists.
	Iteration #011: testing norm threshold 0.126952 in range [0.126778, 0.127126]...	solution exists & found.
	Iteration #012: testing norm threshold 0.126865 in range [0.126778, 0.126952]...	no solution exists.
	Iteration #013: testing norm threshold 0.126909 in range [0.126865, 0.126952]...	solution exists & found.
	Iteration #014: testing norm threshold 0.126887 in range [0.126865, 0.126909]...	no solution exists.
	Iteration #015: testing norm threshold 0.126898 in range [0.126887, 0.126909]...	no solution exists.
	Iteration #016: testing norm threshold 0.126903 in range [0.126898, 0.126909]...	solution exists & found.


Factual sample: 		 {x0 : -1.5305294872481967, x1 : -2.094331517410869, y: False}
Nearest counterfactual sample:	 {x0 : 1.5700970082529568, x1 : -2.0941312546741133, y: True} (verified)
Minimum counterfactual distance: 0.126903
