

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


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 0.500000 in range [0.000000, 1.000000]...	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 0.155509 in range [0.124407, 0.186611]...	no solution exists.
	Iteration #005: testing norm threshold 0.171060 in range [0.155509, 0.186611]...	solution exists & found.
	Iteration #006: testing norm threshold 0.163284 in range [0.155509, 0.171060]...	no solution exists.
	Iteration #007: testing norm threshold 0.167172 in range [0.163284, 0.171060]...	solution exists & found.
	Iteration #008: testing norm threshold 0.165228 in range [0.163284, 0.167172]...	no solution exists.
	Iteration #009: testing norm threshold 0.166200 in range [0.165228, 0.167172]...	solution exists & found.
	Iteration #010: testing norm threshold 0.165714 in range [0.165228, 0.166200]...	no solution exists.
	Iteration #011: testing norm threshold 0.165957 in range [0.165714, 0.166200]...	solution exists & found.
	Iteration #012: testing norm threshold 0.165836 in range [0.165714, 0.165957]...	no solution exists.
	Iteration #013: testing norm threshold 0.165897 in range [0.165836, 0.165957]...	no solution exists.
	Iteration #014: testing norm threshold 0.165927 in range [0.165897, 0.165957]...	solution exists & found.
	Iteration #015: testing norm threshold 0.165912 in range [0.165897, 0.165927]...	solution exists & found.
	Iteration #016: testing norm threshold 0.165904 in range [0.165897, 0.165912]...	solution exists & found.


Factual sample: 		 {x0 : -2.68983094161814, x1 : -1.9009248256972844, y: False}
Nearest counterfactual sample:	 {x0 : 1.3639906226230032, x1 : -1.9009248256972844, y: True} (verified)
Minimum counterfactual distance: 0.165904
