

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


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 0.188330 in range [0.000000, 0.376661]...	no solution exists.
	Iteration #003: testing norm threshold 0.282496 in range [0.188330, 0.376661]...	solution exists & found.
	Iteration #004: testing norm threshold 0.230670 in range [0.188330, 0.273010]...	no solution exists.
	Iteration #005: testing norm threshold 0.251840 in range [0.230670, 0.273010]...	no solution exists.
	Iteration #006: testing norm threshold 0.262425 in range [0.251840, 0.273010]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257133 in range [0.251840, 0.262425]...	no solution exists.
	Iteration #008: testing norm threshold 0.259779 in range [0.257133, 0.262425]...	no solution exists.
	Iteration #009: testing norm threshold 0.261102 in range [0.259779, 0.262425]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260440 in range [0.259779, 0.261102]...	no solution exists.
	Iteration #011: testing norm threshold 0.260771 in range [0.260440, 0.261102]...	no solution exists.
	Iteration #012: testing norm threshold 0.260937 in range [0.260771, 0.261102]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260854 in range [0.260771, 0.260937]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260813 in range [0.260771, 0.260854]...	solution exists & found.
	Iteration #015: testing norm threshold 0.260792 in range [0.260771, 0.260813]...	no solution exists.
	Iteration #016: testing norm threshold 0.260802 in range [0.260792, 0.260813]...	solution exists & found.
	Iteration #017: testing norm threshold 0.260797 in range [0.260792, 0.260803]...	no solution exists.


Factual sample: 		 {x0 : -4.3186580461207456, x1 : -2.7982177492177382, y: False}
Nearest counterfactual sample:	 {x0 : 2.0539723399225087, x1 : -2.7982177492177382, y: True} (verified)
Minimum counterfactual distance: 0.260802
