

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


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 0.122582 in range [0.000000, 0.245164]...	no solution exists.
	Iteration #003: testing norm threshold 0.183873 in range [0.122582, 0.245164]...	no solution exists.
	Iteration #004: testing norm threshold 0.214518 in range [0.183873, 0.245164]...	no solution exists.
	Iteration #005: testing norm threshold 0.229841 in range [0.214518, 0.245164]...	no solution exists.
	Iteration #006: testing norm threshold 0.237502 in range [0.229841, 0.245164]...	solution exists & found.
	Iteration #007: testing norm threshold 0.233672 in range [0.229841, 0.237502]...	solution exists & found.
	Iteration #008: testing norm threshold 0.231756 in range [0.229841, 0.233672]...	no solution exists.
	Iteration #009: testing norm threshold 0.232714 in range [0.231756, 0.233672]...	no solution exists.
	Iteration #010: testing norm threshold 0.233193 in range [0.232714, 0.233672]...	solution exists & found.
	Iteration #011: testing norm threshold 0.232954 in range [0.232714, 0.233193]...	solution exists & found.
	Iteration #012: testing norm threshold 0.232834 in range [0.232714, 0.232954]...	solution exists & found.
	Iteration #013: testing norm threshold 0.232774 in range [0.232714, 0.232834]...	solution exists & found.
	Iteration #014: testing norm threshold 0.232744 in range [0.232714, 0.232774]...	no solution exists.
	Iteration #015: testing norm threshold 0.232759 in range [0.232744, 0.232774]...	solution exists & found.
	Iteration #016: testing norm threshold 0.232752 in range [0.232744, 0.232759]...	no solution exists.


Factual sample: 		 {x0 : -3.788184610015844, x1 : -2.501050035020989, y: False}
Nearest counterfactual sample:	 {x0 : 1.8992174814565592, x1 : -2.501050035020989, y: True} (verified)
Minimum counterfactual distance: 0.232759
