

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


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 0.152528 in range [0.000000, 0.305055]...	no solution exists.
	Iteration #003: testing norm threshold 0.228791 in range [0.152528, 0.305055]...	solution exists & found.
	Iteration #004: testing norm threshold 0.185450 in range [0.152528, 0.218372]...	no solution exists.
	Iteration #005: testing norm threshold 0.201911 in range [0.185450, 0.218372]...	no solution exists.
	Iteration #006: testing norm threshold 0.210141 in range [0.201911, 0.218372]...	solution exists & found.
	Iteration #007: testing norm threshold 0.206026 in range [0.201911, 0.210141]...	no solution exists.
	Iteration #008: testing norm threshold 0.208084 in range [0.206026, 0.210141]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207055 in range [0.206026, 0.208084]...	solution exists & found.
	Iteration #010: testing norm threshold 0.206541 in range [0.206026, 0.207055]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206283 in range [0.206026, 0.206541]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206155 in range [0.206026, 0.206283]...	no solution exists.
	Iteration #013: testing norm threshold 0.206219 in range [0.206155, 0.206283]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206187 in range [0.206155, 0.206219]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206171 in range [0.206155, 0.206187]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206163 in range [0.206155, 0.206171]...	solution exists & found.


Factual sample: 		 {x0 : -3.013327680583444, x1 : -2.7595445967531123, y: False}
Nearest counterfactual sample:	 {x0 : 2.0241886380402656, x1 : -2.7595332948093, y: True} (verified)
Minimum counterfactual distance: 0.206163
