

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


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 0.133611 in range [0.000000, 0.267223]...	no solution exists.
	Iteration #003: testing norm threshold 0.200417 in range [0.133611, 0.267223]...	no solution exists.
	Iteration #004: testing norm threshold 0.233820 in range [0.200417, 0.267223]...	solution exists & found.
	Iteration #005: testing norm threshold 0.217118 in range [0.200417, 0.233820]...	no solution exists.
	Iteration #006: testing norm threshold 0.225469 in range [0.217118, 0.233820]...	solution exists & found.
	Iteration #007: testing norm threshold 0.221294 in range [0.217118, 0.225469]...	solution exists & found.
	Iteration #008: testing norm threshold 0.219206 in range [0.217118, 0.221294]...	solution exists & found.
	Iteration #009: testing norm threshold 0.218162 in range [0.217118, 0.219206]...	solution exists & found.
	Iteration #010: testing norm threshold 0.217640 in range [0.217118, 0.218162]...	solution exists & found.
	Iteration #011: testing norm threshold 0.217379 in range [0.217118, 0.217640]...	solution exists & found.
	Iteration #012: testing norm threshold 0.217249 in range [0.217118, 0.217380]...	no solution exists.
	Iteration #013: testing norm threshold 0.217314 in range [0.217249, 0.217380]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217282 in range [0.217249, 0.217314]...	no solution exists.
	Iteration #015: testing norm threshold 0.217298 in range [0.217282, 0.217314]...	solution exists & found.
	Iteration #016: testing norm threshold 0.217290 in range [0.217282, 0.217298]...	no solution exists.


Factual sample: 		 {x0 : -2.614711549289911, x1 : -3.631755535894423, y: False}
Nearest counterfactual sample:	 {x0 : 2.6948945560999227, x1 : -3.6317611253845516, y: True} (verified)
Minimum counterfactual distance: 0.217298
