

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


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 0.111151 in range [0.000000, 0.222302]...	no solution exists.
	Iteration #003: testing norm threshold 0.166727 in range [0.111151, 0.222302]...	no solution exists.
	Iteration #004: testing norm threshold 0.194515 in range [0.166727, 0.222302]...	no solution exists.
	Iteration #005: testing norm threshold 0.208408 in range [0.194515, 0.222302]...	no solution exists.
	Iteration #006: testing norm threshold 0.215355 in range [0.208408, 0.222302]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211882 in range [0.208408, 0.215356]...	solution exists & found.
	Iteration #008: testing norm threshold 0.210145 in range [0.208408, 0.211882]...	solution exists & found.
	Iteration #009: testing norm threshold 0.209277 in range [0.208408, 0.210145]...	no solution exists.
	Iteration #010: testing norm threshold 0.209711 in range [0.209277, 0.210145]...	no solution exists.
	Iteration #011: testing norm threshold 0.209928 in range [0.209711, 0.210145]...	no solution exists.
	Iteration #012: testing norm threshold 0.210037 in range [0.209928, 0.210145]...	no solution exists.
	Iteration #013: testing norm threshold 0.210091 in range [0.210037, 0.210145]...	no solution exists.
	Iteration #014: testing norm threshold 0.210118 in range [0.210091, 0.210145]...	solution exists & found.
	Iteration #015: testing norm threshold 0.210105 in range [0.210091, 0.210118]...	solution exists & found.
	Iteration #016: testing norm threshold 0.210098 in range [0.210091, 0.210105]...	solution exists & found.


Factual sample: 		 {x0 : -2.099466327481145, x1 : -4.072887668533765, y: False}
Nearest counterfactual sample:	 {x0 : 3.0340100627371926, x1 : -4.07269644826633, y: True} (verified)
Minimum counterfactual distance: 0.210098
