

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


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 0.124407 in range [0.000000, 0.248814]...	no solution exists.
	Iteration #003: testing norm threshold 0.186610 in range [0.124407, 0.248814]...	solution exists & found.
	Iteration #004: testing norm threshold 0.151259 in range [0.124407, 0.178112]...	no solution exists.
	Iteration #005: testing norm threshold 0.164686 in range [0.151259, 0.178112]...	no solution exists.
	Iteration #006: testing norm threshold 0.171399 in range [0.164686, 0.178112]...	solution exists & found.
	Iteration #007: testing norm threshold 0.168042 in range [0.164686, 0.171399]...	solution exists & found.
	Iteration #008: testing norm threshold 0.166364 in range [0.164686, 0.168042]...	solution exists & found.
	Iteration #009: testing norm threshold 0.165525 in range [0.164686, 0.166364]...	no solution exists.
	Iteration #010: testing norm threshold 0.165944 in range [0.165525, 0.166364]...	solution exists & found.
	Iteration #011: testing norm threshold 0.165735 in range [0.165525, 0.165945]...	no solution exists.
	Iteration #012: testing norm threshold 0.165840 in range [0.165735, 0.165945]...	no solution exists.
	Iteration #013: testing norm threshold 0.165892 in range [0.165840, 0.165945]...	no solution exists.
	Iteration #014: testing norm threshold 0.165918 in range [0.165892, 0.165945]...	solution exists & found.
	Iteration #015: testing norm threshold 0.165905 in range [0.165892, 0.165918]...	solution exists & found.
	Iteration #016: testing norm threshold 0.165899 in range [0.165892, 0.165905]...	no solution exists.


Factual sample: 		 {x0 : -2.68983094161814, x1 : -1.9009248256972844, y: False}
Nearest counterfactual sample:	 {x0 : 1.364015591594177, x1 : -1.9009248256972844, y: True} (verified)
Minimum counterfactual distance: 0.165905
