

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


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 0.149074 in range [0.000000, 0.298148]...	no solution exists.
	Iteration #003: testing norm threshold 0.223611 in range [0.149074, 0.298148]...	no solution exists.
	Iteration #004: testing norm threshold 0.260880 in range [0.223611, 0.298148]...	solution exists & found.
	Iteration #005: testing norm threshold 0.242245 in range [0.223611, 0.260880]...	no solution exists.
	Iteration #006: testing norm threshold 0.251562 in range [0.242245, 0.260880]...	solution exists & found.
	Iteration #007: testing norm threshold 0.246904 in range [0.242245, 0.251563]...	no solution exists.
	Iteration #008: testing norm threshold 0.249233 in range [0.246904, 0.251563]...	solution exists & found.
	Iteration #009: testing norm threshold 0.248069 in range [0.246904, 0.249233]...	no solution exists.
	Iteration #010: testing norm threshold 0.248651 in range [0.248069, 0.249233]...	solution exists & found.
	Iteration #011: testing norm threshold 0.248360 in range [0.248069, 0.248651]...	solution exists & found.
	Iteration #012: testing norm threshold 0.248214 in range [0.248069, 0.248360]...	no solution exists.
	Iteration #013: testing norm threshold 0.248287 in range [0.248214, 0.248360]...	solution exists & found.
	Iteration #014: testing norm threshold 0.248251 in range [0.248214, 0.248287]...	solution exists & found.
	Iteration #015: testing norm threshold 0.248233 in range [0.248214, 0.248251]...	solution exists & found.
	Iteration #016: testing norm threshold 0.248224 in range [0.248214, 0.248233]...	solution exists & found.


Factual sample: 		 {x0 : -3.601296029920656, x1 : -3.3314408891191047, y: False}
Nearest counterfactual sample:	 {x0 : 2.4639467300055986, x1 : -3.331417109142368, y: True} (verified)
Minimum counterfactual distance: 0.248224
