

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


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 0.070228 in range [0.000000, 0.140456]...	no solution exists.
	Iteration #003: testing norm threshold 0.105342 in range [0.070228, 0.140456]...	solution exists & found.
	Iteration #004: testing norm threshold 0.085386 in range [0.070228, 0.100544]...	no solution exists.
	Iteration #005: testing norm threshold 0.092965 in range [0.085386, 0.100544]...	solution exists & found.
	Iteration #006: testing norm threshold 0.089176 in range [0.085386, 0.092965]...	solution exists & found.
	Iteration #007: testing norm threshold 0.087281 in range [0.085386, 0.089176]...	no solution exists.
	Iteration #008: testing norm threshold 0.088228 in range [0.087281, 0.089176]...	no solution exists.
	Iteration #009: testing norm threshold 0.088702 in range [0.088228, 0.089176]...	solution exists & found.
	Iteration #010: testing norm threshold 0.088465 in range [0.088228, 0.088702]...	solution exists & found.
	Iteration #011: testing norm threshold 0.088347 in range [0.088228, 0.088466]...	solution exists & found.
	Iteration #012: testing norm threshold 0.088288 in range [0.088228, 0.088347]...	no solution exists.
	Iteration #013: testing norm threshold 0.088317 in range [0.088288, 0.088347]...	no solution exists.
	Iteration #014: testing norm threshold 0.088332 in range [0.088317, 0.088347]...	no solution exists.
	Iteration #015: testing norm threshold 0.088340 in range [0.088332, 0.088347]...	solution exists & found.


Factual sample: 		 {x0 : -0.8194615228346422, x1 : -1.8684563976318167, y: False}
Nearest counterfactual sample:	 {x0 : 1.3389032190672487, x1 : -1.868279981192874, y: True} (verified)
Minimum counterfactual distance: 0.088340
