

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


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 0.096536 in range [0.000000, 0.193072]...	no solution exists.
	Iteration #003: testing norm threshold 0.144804 in range [0.096536, 0.193072]...	no solution exists.
	Iteration #004: testing norm threshold 0.168938 in range [0.144804, 0.193072]...	no solution exists.
	Iteration #005: testing norm threshold 0.181005 in range [0.168938, 0.193072]...	solution exists & found.
	Iteration #006: testing norm threshold 0.174972 in range [0.168938, 0.181005]...	no solution exists.
	Iteration #007: testing norm threshold 0.177989 in range [0.174972, 0.181005]...	no solution exists.
	Iteration #008: testing norm threshold 0.179497 in range [0.177989, 0.181005]...	no solution exists.
	Iteration #009: testing norm threshold 0.180251 in range [0.179497, 0.181005]...	no solution exists.
	Iteration #010: testing norm threshold 0.180628 in range [0.180251, 0.181005]...	no solution exists.
	Iteration #011: testing norm threshold 0.180817 in range [0.180628, 0.181005]...	solution exists & found.
	Iteration #012: testing norm threshold 0.180723 in range [0.180628, 0.180817]...	solution exists & found.
	Iteration #013: testing norm threshold 0.180676 in range [0.180628, 0.180723]...	solution exists & found.
	Iteration #014: testing norm threshold 0.180652 in range [0.180628, 0.180676]...	no solution exists.
	Iteration #015: testing norm threshold 0.180664 in range [0.180652, 0.180676]...	solution exists & found.
	Iteration #016: testing norm threshold 0.180658 in range [0.180652, 0.180664]...	no solution exists.


Factual sample: 		 {x0 : -2.592377487004912, x1 : -2.4057938639214425, y: False}
Nearest counterfactual sample:	 {x0 : 1.8220593508817855, x1 : -2.405765120756693, y: True} (verified)
Minimum counterfactual distance: 0.180664
