

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


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 0.159083 in range [0.000000, 0.318167]...	no solution exists.
	Iteration #003: testing norm threshold 0.238625 in range [0.159083, 0.318167]...	solution exists & found.
	Iteration #004: testing norm threshold 0.175865 in range [0.159083, 0.192647]...	no solution exists.
	Iteration #005: testing norm threshold 0.184256 in range [0.175865, 0.192647]...	solution exists & found.
	Iteration #006: testing norm threshold 0.180061 in range [0.175865, 0.184256]...	no solution exists.
	Iteration #007: testing norm threshold 0.182158 in range [0.180061, 0.184256]...	solution exists & found.
	Iteration #008: testing norm threshold 0.181110 in range [0.180061, 0.182159]...	solution exists & found.
	Iteration #009: testing norm threshold 0.180585 in range [0.180061, 0.181110]...	solution exists & found.
	Iteration #010: testing norm threshold 0.180323 in range [0.180061, 0.180585]...	no solution exists.
	Iteration #011: testing norm threshold 0.180454 in range [0.180323, 0.180585]...	solution exists & found.
	Iteration #012: testing norm threshold 0.180389 in range [0.180323, 0.180454]...	no solution exists.
	Iteration #013: testing norm threshold 0.180421 in range [0.180389, 0.180454]...	no solution exists.
	Iteration #014: testing norm threshold 0.180438 in range [0.180421, 0.180454]...	solution exists & found.
	Iteration #015: testing norm threshold 0.180430 in range [0.180421, 0.180438]...	no solution exists.


Factual sample: 		 {x0 : -3.719100563731869, x1 : -1.0242708436659005, y: False}
Nearest counterfactual sample:	 {x0 : 0.6898445260192624, x1 : -1.0242708436659005, y: True} (verified)
Minimum counterfactual distance: 0.180438
