

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


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 0.155273 in range [0.000000, 0.310546]...	no solution exists.
	Iteration #003: testing norm threshold 0.232910 in range [0.155273, 0.310546]...	solution exists & found.
	Iteration #004: testing norm threshold 0.188788 in range [0.155273, 0.222302]...	no solution exists.
	Iteration #005: testing norm threshold 0.205545 in range [0.188788, 0.222302]...	no solution exists.
	Iteration #006: testing norm threshold 0.213924 in range [0.205545, 0.222302]...	solution exists & found.
	Iteration #007: testing norm threshold 0.209734 in range [0.205545, 0.213924]...	no solution exists.
	Iteration #008: testing norm threshold 0.211829 in range [0.209734, 0.213924]...	solution exists & found.
	Iteration #009: testing norm threshold 0.210782 in range [0.209734, 0.211829]...	solution exists & found.
	Iteration #010: testing norm threshold 0.210258 in range [0.209734, 0.210782]...	solution exists & found.
	Iteration #011: testing norm threshold 0.209996 in range [0.209734, 0.210258]...	no solution exists.
	Iteration #012: testing norm threshold 0.210127 in range [0.209996, 0.210258]...	solution exists & found.
	Iteration #013: testing norm threshold 0.210062 in range [0.209996, 0.210127]...	no solution exists.
	Iteration #014: testing norm threshold 0.210095 in range [0.210062, 0.210127]...	solution exists & found.
	Iteration #015: testing norm threshold 0.210078 in range [0.210062, 0.210095]...	no solution exists.
	Iteration #016: testing norm threshold 0.210087 in range [0.210078, 0.210095]...	no solution exists.


Factual sample: 		 {x0 : -2.099466327481145, x1 : -4.072887668533765, y: False}
Nearest counterfactual sample:	 {x0 : 3.0341342800378297, x1 : -4.072887668533765, y: True} (verified)
Minimum counterfactual distance: 0.210095
