

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


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 0.078449 in range [0.000000, 0.156898]...	no solution exists.
	Iteration #003: testing norm threshold 0.117673 in range [0.078449, 0.156898]...	solution exists & found.
	Iteration #004: testing norm threshold 0.098061 in range [0.078449, 0.117673]...	no solution exists.
	Iteration #005: testing norm threshold 0.107867 in range [0.098061, 0.117673]...	solution exists & found.
	Iteration #006: testing norm threshold 0.102964 in range [0.098061, 0.107867]...	no solution exists.
	Iteration #007: testing norm threshold 0.105416 in range [0.102964, 0.107867]...	no solution exists.
	Iteration #008: testing norm threshold 0.106642 in range [0.105416, 0.107867]...	solution exists & found.
	Iteration #009: testing norm threshold 0.106029 in range [0.105416, 0.106642]...	solution exists & found.
	Iteration #010: testing norm threshold 0.105722 in range [0.105416, 0.106029]...	solution exists & found.
	Iteration #011: testing norm threshold 0.105569 in range [0.105416, 0.105722]...	no solution exists.
	Iteration #012: testing norm threshold 0.105646 in range [0.105569, 0.105722]...	no solution exists.
	Iteration #013: testing norm threshold 0.105684 in range [0.105646, 0.105722]...	no solution exists.
	Iteration #014: testing norm threshold 0.105703 in range [0.105684, 0.105722]...	no solution exists.
	Iteration #015: testing norm threshold 0.105713 in range [0.105703, 0.105722]...	solution exists & found.


Factual sample: 		 {x0 : -1.4183917277488014, x1 : -1.5926058130616425, y: False}
Nearest counterfactual sample:	 {x0 : 1.1646691253730017, x1 : -1.5926058130616425, y: True} (verified)
Minimum counterfactual distance: 0.105713
