

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


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 0.159884 in range [0.000000, 0.319768]...	no solution exists.
	Iteration #003: testing norm threshold 0.239826 in range [0.159884, 0.319768]...	solution exists & found.
	Iteration #004: testing norm threshold 0.199855 in range [0.159884, 0.239826]...	solution exists & found.
	Iteration #005: testing norm threshold 0.179869 in range [0.159884, 0.199855]...	no solution exists.
	Iteration #006: testing norm threshold 0.189862 in range [0.179869, 0.199855]...	no solution exists.
	Iteration #007: testing norm threshold 0.194859 in range [0.189862, 0.199855]...	solution exists & found.
	Iteration #008: testing norm threshold 0.192360 in range [0.189862, 0.194859]...	no solution exists.
	Iteration #009: testing norm threshold 0.193609 in range [0.192360, 0.194859]...	solution exists & found.
	Iteration #010: testing norm threshold 0.192985 in range [0.192360, 0.193610]...	no solution exists.
	Iteration #011: testing norm threshold 0.193297 in range [0.192985, 0.193610]...	solution exists & found.
	Iteration #012: testing norm threshold 0.193141 in range [0.192985, 0.193297]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193063 in range [0.192985, 0.193141]...	solution exists & found.
	Iteration #014: testing norm threshold 0.193024 in range [0.192985, 0.193063]...	no solution exists.
	Iteration #015: testing norm threshold 0.193044 in range [0.193024, 0.193063]...	no solution exists.
	Iteration #016: testing norm threshold 0.193053 in range [0.193044, 0.193063]...	no solution exists.


Factual sample: 		 {x0 : -3.929591347269812, x1 : -1.151433934645259, y: False}
Nearest counterfactual sample:	 {x0 : 0.7874552005803316, x1 : -1.1510671015793132, y: True} (verified)
Minimum counterfactual distance: 0.193063
