

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


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 0.137886 in range [0.000000, 0.275772]...	no solution exists.
	Iteration #003: testing norm threshold 0.206829 in range [0.137886, 0.275772]...	no solution exists.
	Iteration #004: testing norm threshold 0.241300 in range [0.206829, 0.275772]...	solution exists & found.
	Iteration #005: testing norm threshold 0.224064 in range [0.206829, 0.241300]...	no solution exists.
	Iteration #006: testing norm threshold 0.232682 in range [0.224064, 0.241300]...	solution exists & found.
	Iteration #007: testing norm threshold 0.228373 in range [0.224064, 0.232682]...	solution exists & found.
	Iteration #008: testing norm threshold 0.226219 in range [0.224064, 0.228374]...	solution exists & found.
	Iteration #009: testing norm threshold 0.225142 in range [0.224064, 0.226219]...	solution exists & found.
	Iteration #010: testing norm threshold 0.224603 in range [0.224064, 0.225142]...	no solution exists.
	Iteration #011: testing norm threshold 0.224872 in range [0.224603, 0.225142]...	solution exists & found.
	Iteration #012: testing norm threshold 0.224738 in range [0.224603, 0.224873]...	no solution exists.
	Iteration #013: testing norm threshold 0.224805 in range [0.224738, 0.224873]...	no solution exists.
	Iteration #014: testing norm threshold 0.224839 in range [0.224805, 0.224873]...	solution exists & found.
	Iteration #015: testing norm threshold 0.224822 in range [0.224805, 0.224839]...	no solution exists.
	Iteration #016: testing norm threshold 0.224831 in range [0.224822, 0.224839]...	no solution exists.


Factual sample: 		 {x0 : -3.160815510956289, x1 : -3.037524604979738, y: False}
Nearest counterfactual sample:	 {x0 : 2.333057154969903, x1 : -3.037524604979738, y: True} (verified)
Minimum counterfactual distance: 0.224839
