

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


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 0.152761 in range [0.000000, 0.305521]...	no solution exists.
	Iteration #003: testing norm threshold 0.229141 in range [0.152761, 0.305521]...	solution exists & found.
	Iteration #004: testing norm threshold 0.190951 in range [0.152761, 0.229141]...	no solution exists.
	Iteration #005: testing norm threshold 0.210046 in range [0.190951, 0.229141]...	solution exists & found.
	Iteration #006: testing norm threshold 0.200498 in range [0.190951, 0.210046]...	no solution exists.
	Iteration #007: testing norm threshold 0.205272 in range [0.200498, 0.210046]...	no solution exists.
	Iteration #008: testing norm threshold 0.207659 in range [0.205272, 0.210046]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206466 in range [0.205272, 0.207659]...	no solution exists.
	Iteration #010: testing norm threshold 0.207062 in range [0.206466, 0.207659]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206764 in range [0.206466, 0.207063]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206615 in range [0.206466, 0.206764]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206540 in range [0.206466, 0.206615]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206503 in range [0.206466, 0.206540]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206484 in range [0.206466, 0.206503]...	no solution exists.
	Iteration #016: testing norm threshold 0.206494 in range [0.206484, 0.206503]...	no solution exists.


Factual sample: 		 {x0 : -2.123303283569401, x1 : -3.927587564944067, y: False}
Nearest counterfactual sample:	 {x0 : 2.9225387752991514, x1 : -3.927587564944067, y: True} (verified)
Minimum counterfactual distance: 0.206503
