

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


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 0.153815 in range [0.000000, 0.307631]...	no solution exists.
	Iteration #003: testing norm threshold 0.230723 in range [0.153815, 0.307631]...	no solution exists.
	Iteration #004: testing norm threshold 0.269177 in range [0.230723, 0.307631]...	solution exists & found.
	Iteration #005: testing norm threshold 0.249950 in range [0.230723, 0.269177]...	no solution exists.
	Iteration #006: testing norm threshold 0.259564 in range [0.249950, 0.269177]...	solution exists & found.
	Iteration #007: testing norm threshold 0.254757 in range [0.249950, 0.259564]...	no solution exists.
	Iteration #008: testing norm threshold 0.257160 in range [0.254757, 0.259564]...	no solution exists.
	Iteration #009: testing norm threshold 0.258362 in range [0.257160, 0.259564]...	solution exists & found.
	Iteration #010: testing norm threshold 0.257761 in range [0.257160, 0.258362]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257461 in range [0.257160, 0.257761]...	no solution exists.
	Iteration #012: testing norm threshold 0.257611 in range [0.257461, 0.257761]...	no solution exists.
	Iteration #013: testing norm threshold 0.257686 in range [0.257611, 0.257761]...	no solution exists.
	Iteration #014: testing norm threshold 0.257724 in range [0.257686, 0.257761]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257705 in range [0.257686, 0.257724]...	no solution exists.
	Iteration #016: testing norm threshold 0.257715 in range [0.257705, 0.257724]...	solution exists & found.


Factual sample: 		 {x0 : -3.911539229982616, x1 : -3.229314521944287, y: False}
Nearest counterfactual sample:	 {x0 : 2.3852659126619695, x1 : -3.2289672838769805, y: True} (verified)
Minimum counterfactual distance: 0.257715
