

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


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 0.189837 in range [0.000000, 0.379673]...	no solution exists.
	Iteration #003: testing norm threshold 0.284755 in range [0.189837, 0.379673]...	solution exists & found.
	Iteration #004: testing norm threshold 0.237296 in range [0.189837, 0.284755]...	no solution exists.
	Iteration #005: testing norm threshold 0.261025 in range [0.237296, 0.284755]...	solution exists & found.
	Iteration #006: testing norm threshold 0.249161 in range [0.237296, 0.261025]...	no solution exists.
	Iteration #007: testing norm threshold 0.255093 in range [0.249161, 0.261025]...	no solution exists.
	Iteration #008: testing norm threshold 0.258059 in range [0.255093, 0.261025]...	no solution exists.
	Iteration #009: testing norm threshold 0.259542 in range [0.258059, 0.261025]...	no solution exists.
	Iteration #010: testing norm threshold 0.260284 in range [0.259542, 0.261025]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259913 in range [0.259542, 0.260284]...	solution exists & found.
	Iteration #012: testing norm threshold 0.259728 in range [0.259542, 0.259913]...	solution exists & found.
	Iteration #013: testing norm threshold 0.259635 in range [0.259542, 0.259728]...	solution exists & found.
	Iteration #014: testing norm threshold 0.259589 in range [0.259542, 0.259635]...	solution exists & found.
	Iteration #015: testing norm threshold 0.259566 in range [0.259542, 0.259589]...	no solution exists.
	Iteration #016: testing norm threshold 0.259577 in range [0.259566, 0.259589]...	no solution exists.
	Iteration #017: testing norm threshold 0.259583 in range [0.259577, 0.259589]...	solution exists & found.


Factual sample: 		 {x0 : -3.214884173068361, x1 : -4.194757129393818, y: False}
Nearest counterfactual sample:	 {x0 : 3.127889907551767, x1 : -4.194814796496418, y: True} (verified)
Minimum counterfactual distance: 0.259583
