

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


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 0.148931 in range [0.000000, 0.297862]...	no solution exists.
	Iteration #003: testing norm threshold 0.223397 in range [0.148931, 0.297862]...	solution exists & found.
	Iteration #004: testing norm threshold 0.163521 in range [0.148931, 0.178112]...	no solution exists.
	Iteration #005: testing norm threshold 0.170817 in range [0.163521, 0.178112]...	solution exists & found.
	Iteration #006: testing norm threshold 0.167169 in range [0.163521, 0.170817]...	solution exists & found.
	Iteration #007: testing norm threshold 0.165345 in range [0.163521, 0.167169]...	no solution exists.
	Iteration #008: testing norm threshold 0.166257 in range [0.165345, 0.167169]...	solution exists & found.
	Iteration #009: testing norm threshold 0.165801 in range [0.165345, 0.166257]...	no solution exists.
	Iteration #010: testing norm threshold 0.166029 in range [0.165801, 0.166257]...	solution exists & found.
	Iteration #011: testing norm threshold 0.165915 in range [0.165801, 0.166029]...	solution exists & found.
	Iteration #012: testing norm threshold 0.165858 in range [0.165801, 0.165916]...	no solution exists.
	Iteration #013: testing norm threshold 0.165887 in range [0.165858, 0.165916]...	no solution exists.
	Iteration #014: testing norm threshold 0.165901 in range [0.165887, 0.165916]...	no solution exists.
	Iteration #015: testing norm threshold 0.165908 in range [0.165901, 0.165916]...	solution exists & found.


Factual sample: 		 {x0 : -2.68983094161814, x1 : -1.9009248256972844, y: False}
Nearest counterfactual sample:	 {x0 : 1.3638460519035274, x1 : -1.9006966432976302, y: True} (verified)
Minimum counterfactual distance: 0.165908
