

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.201313 in range [0.000000, 0.402626]...	no solution exists.
	Iteration #003: testing norm threshold 0.301969 in range [0.201313, 0.402626]...	solution exists & found.
	Iteration #004: testing norm threshold 0.244765 in range [0.201313, 0.288217]...	no solution exists.
	Iteration #005: testing norm threshold 0.266491 in range [0.244765, 0.288217]...	no solution exists.
	Iteration #006: testing norm threshold 0.277354 in range [0.266491, 0.288217]...	solution exists & found.
	Iteration #007: testing norm threshold 0.271922 in range [0.266491, 0.277354]...	no solution exists.
	Iteration #008: testing norm threshold 0.274638 in range [0.271922, 0.277354]...	no solution exists.
	Iteration #009: testing norm threshold 0.275996 in range [0.274638, 0.277354]...	no solution exists.
	Iteration #010: testing norm threshold 0.276675 in range [0.275996, 0.277354]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276336 in range [0.275996, 0.276675]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276166 in range [0.275996, 0.276336]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276081 in range [0.275996, 0.276166]...	solution exists & found.
	Iteration #014: testing norm threshold 0.276039 in range [0.275996, 0.276081]...	solution exists & found.
	Iteration #015: testing norm threshold 0.276017 in range [0.275996, 0.276039]...	solution exists & found.
	Iteration #016: testing norm threshold 0.276007 in range [0.275996, 0.276018]...	no solution exists.
	Iteration #017: testing norm threshold 0.276012 in range [0.276007, 0.276018]...	solution exists & found.


Factual sample: 		 {x0 : -4.083145260591804, x1 : -3.587717197932672, y: False}
Nearest counterfactual sample:	 {x0 : 2.6611318552348835, x1 : -3.587717197932672, y: True} (verified)
Minimum counterfactual distance: 0.276012
