

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


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 0.109724 in range [0.000000, 0.219448]...	no solution exists.
	Iteration #003: testing norm threshold 0.164586 in range [0.109724, 0.219448]...	no solution exists.
	Iteration #004: testing norm threshold 0.192017 in range [0.164586, 0.219448]...	no solution exists.
	Iteration #005: testing norm threshold 0.205732 in range [0.192017, 0.219448]...	no solution exists.
	Iteration #006: testing norm threshold 0.212590 in range [0.205732, 0.219448]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209161 in range [0.205732, 0.212590]...	solution exists & found.
	Iteration #008: testing norm threshold 0.207447 in range [0.205732, 0.209161]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206590 in range [0.205732, 0.207447]...	no solution exists.
	Iteration #010: testing norm threshold 0.207018 in range [0.206590, 0.207447]...	no solution exists.
	Iteration #011: testing norm threshold 0.207233 in range [0.207018, 0.207447]...	no solution exists.
	Iteration #012: testing norm threshold 0.207340 in range [0.207233, 0.207447]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207286 in range [0.207233, 0.207340]...	solution exists & found.
	Iteration #014: testing norm threshold 0.207259 in range [0.207233, 0.207286]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207246 in range [0.207233, 0.207260]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207239 in range [0.207233, 0.207246]...	solution exists & found.


Factual sample: 		 {x0 : -3.234407458798979, x1 : -2.5062317864319663, y: False}
Nearest counterfactual sample:	 {x0 : 1.8294259454122888, x1 : -2.5062317864319663, y: True} (verified)
Minimum counterfactual distance: 0.207239
