

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


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 0.094266 in range [0.000000, 0.188532]...	no solution exists.
	Iteration #003: testing norm threshold 0.141399 in range [0.094266, 0.188532]...	no solution exists.
	Iteration #004: testing norm threshold 0.164966 in range [0.141399, 0.188532]...	no solution exists.
	Iteration #005: testing norm threshold 0.176749 in range [0.164966, 0.188532]...	solution exists & found.
	Iteration #006: testing norm threshold 0.170857 in range [0.164966, 0.176749]...	no solution exists.
	Iteration #007: testing norm threshold 0.173803 in range [0.170857, 0.176749]...	no solution exists.
	Iteration #008: testing norm threshold 0.175276 in range [0.173803, 0.176749]...	no solution exists.
	Iteration #009: testing norm threshold 0.176013 in range [0.175276, 0.176749]...	no solution exists.
	Iteration #010: testing norm threshold 0.176381 in range [0.176013, 0.176749]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176197 in range [0.176013, 0.176381]...	solution exists & found.
	Iteration #012: testing norm threshold 0.176105 in range [0.176013, 0.176197]...	no solution exists.
	Iteration #013: testing norm threshold 0.176151 in range [0.176105, 0.176197]...	solution exists & found.
	Iteration #014: testing norm threshold 0.176128 in range [0.176105, 0.176151]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176116 in range [0.176105, 0.176128]...	no solution exists.
	Iteration #016: testing norm threshold 0.176122 in range [0.176116, 0.176128]...	no solution exists.


Factual sample: 		 {x0 : -2.30787575957717, x1 : -2.620425846966576, y: False}
Nearest counterfactual sample:	 {x0 : 1.9955219741448447, x1 : -2.620207309200721, y: True} (verified)
Minimum counterfactual distance: 0.176128
