

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


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 0.119496 in range [0.000000, 0.238993]...	no solution exists.
	Iteration #003: testing norm threshold 0.179245 in range [0.119496, 0.238993]...	no solution exists.
	Iteration #004: testing norm threshold 0.209119 in range [0.179245, 0.238993]...	no solution exists.
	Iteration #005: testing norm threshold 0.224056 in range [0.209119, 0.238993]...	no solution exists.
	Iteration #006: testing norm threshold 0.231524 in range [0.224056, 0.238993]...	solution exists & found.
	Iteration #007: testing norm threshold 0.227790 in range [0.224056, 0.231524]...	solution exists & found.
	Iteration #008: testing norm threshold 0.225923 in range [0.224056, 0.227790]...	no solution exists.
	Iteration #009: testing norm threshold 0.226857 in range [0.225923, 0.227790]...	solution exists & found.
	Iteration #010: testing norm threshold 0.226390 in range [0.225923, 0.226857]...	no solution exists.
	Iteration #011: testing norm threshold 0.226623 in range [0.226390, 0.226857]...	no solution exists.
	Iteration #012: testing norm threshold 0.226740 in range [0.226623, 0.226857]...	no solution exists.
	Iteration #013: testing norm threshold 0.226798 in range [0.226740, 0.226857]...	solution exists & found.
	Iteration #014: testing norm threshold 0.226769 in range [0.226740, 0.226798]...	no solution exists.
	Iteration #015: testing norm threshold 0.226784 in range [0.226769, 0.226798]...	solution exists & found.
	Iteration #016: testing norm threshold 0.226776 in range [0.226769, 0.226784]...	no solution exists.


Factual sample: 		 {x0 : -2.371381201686776, x1 : -4.249633438267633, y: False}
Nearest counterfactual sample:	 {x0 : 3.1700129203511933, x1 : -4.249633438267633, y: True} (verified)
Minimum counterfactual distance: 0.226784
