

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


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 0.058038 in range [0.000000, 0.116075]...	no solution exists.
	Iteration #003: testing norm threshold 0.087056 in range [0.058038, 0.116075]...	no solution exists.
	Iteration #004: testing norm threshold 0.101566 in range [0.087056, 0.116075]...	no solution exists.
	Iteration #005: testing norm threshold 0.108820 in range [0.101566, 0.116075]...	solution exists & found.
	Iteration #006: testing norm threshold 0.105193 in range [0.101566, 0.108820]...	solution exists & found.
	Iteration #007: testing norm threshold 0.103379 in range [0.101566, 0.105193]...	no solution exists.
	Iteration #008: testing norm threshold 0.104286 in range [0.103379, 0.105193]...	solution exists & found.
	Iteration #009: testing norm threshold 0.103833 in range [0.103379, 0.104286]...	solution exists & found.
	Iteration #010: testing norm threshold 0.103606 in range [0.103379, 0.103833]...	no solution exists.
	Iteration #011: testing norm threshold 0.103720 in range [0.103606, 0.103833]...	solution exists & found.
	Iteration #012: testing norm threshold 0.103663 in range [0.103606, 0.103720]...	no solution exists.
	Iteration #013: testing norm threshold 0.103691 in range [0.103663, 0.103720]...	solution exists & found.
	Iteration #014: testing norm threshold 0.103677 in range [0.103663, 0.103691]...	solution exists & found.
	Iteration #015: testing norm threshold 0.103670 in range [0.103663, 0.103677]...	solution exists & found.


Factual sample: 		 {x0 : -1.6298112537012035, x1 : -1.2695514978964375, y: False}
Nearest counterfactual sample:	 {x0 : 0.9033373696903914, x1 : -1.2695514978964375, y: True} (verified)
Minimum counterfactual distance: 0.103670
