

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


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 0.151344 in range [0.000000, 0.302688]...	no solution exists.
	Iteration #003: testing norm threshold 0.227016 in range [0.151344, 0.302688]...	no solution exists.
	Iteration #004: testing norm threshold 0.264852 in range [0.227016, 0.302688]...	no solution exists.
	Iteration #005: testing norm threshold 0.283770 in range [0.264852, 0.302688]...	no solution exists.
	Iteration #006: testing norm threshold 0.293229 in range [0.283770, 0.302688]...	solution exists & found.
	Iteration #007: testing norm threshold 0.288500 in range [0.283770, 0.293229]...	no solution exists.
	Iteration #008: testing norm threshold 0.290864 in range [0.288500, 0.293229]...	solution exists & found.
	Iteration #009: testing norm threshold 0.289682 in range [0.288500, 0.290865]...	no solution exists.
	Iteration #010: testing norm threshold 0.290273 in range [0.289682, 0.290865]...	no solution exists.
	Iteration #011: testing norm threshold 0.290569 in range [0.290273, 0.290865]...	solution exists & found.
	Iteration #012: testing norm threshold 0.290421 in range [0.290273, 0.290569]...	no solution exists.
	Iteration #013: testing norm threshold 0.290495 in range [0.290421, 0.290569]...	solution exists & found.
	Iteration #014: testing norm threshold 0.290458 in range [0.290421, 0.290495]...	no solution exists.
	Iteration #015: testing norm threshold 0.290477 in range [0.290458, 0.290495]...	no solution exists.
	Iteration #016: testing norm threshold 0.290486 in range [0.290477, 0.290495]...	solution exists & found.


Factual sample: 		 {x0 : -4.687229572584936, x1 : -3.2619690131459818, y: False}
Nearest counterfactual sample:	 {x0 : 2.4107082120531884, x1 : -3.2619690131459818, y: True} (verified)
Minimum counterfactual distance: 0.290486
