

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


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 0.155363 in range [0.000000, 0.310726]...	no solution exists.
	Iteration #003: testing norm threshold 0.233044 in range [0.155363, 0.310726]...	no solution exists.
	Iteration #004: testing norm threshold 0.271885 in range [0.233044, 0.310726]...	solution exists & found.
	Iteration #005: testing norm threshold 0.252465 in range [0.233044, 0.271885]...	no solution exists.
	Iteration #006: testing norm threshold 0.262175 in range [0.252465, 0.271885]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257320 in range [0.252465, 0.262175]...	no solution exists.
	Iteration #008: testing norm threshold 0.259748 in range [0.257320, 0.262175]...	no solution exists.
	Iteration #009: testing norm threshold 0.260961 in range [0.259748, 0.262175]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260355 in range [0.259748, 0.260961]...	no solution exists.
	Iteration #011: testing norm threshold 0.260658 in range [0.260355, 0.260961]...	no solution exists.
	Iteration #012: testing norm threshold 0.260810 in range [0.260658, 0.260961]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260734 in range [0.260658, 0.260810]...	no solution exists.
	Iteration #014: testing norm threshold 0.260772 in range [0.260734, 0.260810]...	no solution exists.
	Iteration #015: testing norm threshold 0.260791 in range [0.260772, 0.260810]...	no solution exists.
	Iteration #016: testing norm threshold 0.260800 in range [0.260791, 0.260810]...	no solution exists.


Factual sample: 		 {x0 : -4.3186580461207456, x1 : -2.7982177492177382, y: False}
Nearest counterfactual sample:	 {x0 : 2.0537658777494823, x1 : -2.797859756108588, y: True} (verified)
Minimum counterfactual distance: 0.260810
