

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


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 0.178868 in range [0.000000, 0.357736]...	no solution exists.
	Iteration #003: testing norm threshold 0.268302 in range [0.178868, 0.357736]...	solution exists & found.
	Iteration #004: testing norm threshold 0.199920 in range [0.178868, 0.220972]...	no solution exists.
	Iteration #005: testing norm threshold 0.210446 in range [0.199920, 0.220972]...	solution exists & found.
	Iteration #006: testing norm threshold 0.205183 in range [0.199920, 0.210446]...	no solution exists.
	Iteration #007: testing norm threshold 0.207815 in range [0.205183, 0.210446]...	no solution exists.
	Iteration #008: testing norm threshold 0.209130 in range [0.207815, 0.210446]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208473 in range [0.207815, 0.209130]...	no solution exists.
	Iteration #010: testing norm threshold 0.208802 in range [0.208473, 0.209130]...	solution exists & found.
	Iteration #011: testing norm threshold 0.208637 in range [0.208473, 0.208802]...	no solution exists.
	Iteration #012: testing norm threshold 0.208719 in range [0.208637, 0.208802]...	no solution exists.
	Iteration #013: testing norm threshold 0.208760 in range [0.208719, 0.208802]...	no solution exists.
	Iteration #014: testing norm threshold 0.208781 in range [0.208760, 0.208802]...	solution exists & found.
	Iteration #015: testing norm threshold 0.208771 in range [0.208760, 0.208781]...	solution exists & found.
	Iteration #016: testing norm threshold 0.208766 in range [0.208760, 0.208771]...	solution exists & found.


Factual sample: 		 {x0 : -2.910961053988776, x1 : -2.975297332715904, y: False}
Nearest counterfactual sample:	 {x0 : 2.1901669205955674, x1 : -2.975297332715904, y: True} (verified)
Minimum counterfactual distance: 0.208766
