

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


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 0.110061 in range [0.000000, 0.220122]...	no solution exists.
	Iteration #003: testing norm threshold 0.165092 in range [0.110061, 0.220122]...	no solution exists.
	Iteration #004: testing norm threshold 0.192607 in range [0.165092, 0.220122]...	no solution exists.
	Iteration #005: testing norm threshold 0.206365 in range [0.192607, 0.220122]...	no solution exists.
	Iteration #006: testing norm threshold 0.213244 in range [0.206365, 0.220122]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209804 in range [0.206365, 0.213244]...	solution exists & found.
	Iteration #008: testing norm threshold 0.208085 in range [0.206365, 0.209804]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207225 in range [0.206365, 0.208085]...	no solution exists.
	Iteration #010: testing norm threshold 0.207655 in range [0.207225, 0.208085]...	no solution exists.
	Iteration #011: testing norm threshold 0.207870 in range [0.207655, 0.208085]...	solution exists & found.
	Iteration #012: testing norm threshold 0.207762 in range [0.207655, 0.207870]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207708 in range [0.207655, 0.207762]...	no solution exists.
	Iteration #014: testing norm threshold 0.207735 in range [0.207708, 0.207762]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207722 in range [0.207708, 0.207735]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207715 in range [0.207708, 0.207722]...	solution exists & found.


Factual sample: 		 {x0 : -3.12031526155422, x1 : -2.570288628525421, y: False}
Nearest counterfactual sample:	 {x0 : 1.9551463948113015, x1 : -2.570288628525421, y: True} (verified)
Minimum counterfactual distance: 0.207715
