

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


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 0.142633 in range [0.000000, 0.285265]...	no solution exists.
	Iteration #003: testing norm threshold 0.213949 in range [0.142633, 0.285265]...	no solution exists.
	Iteration #004: testing norm threshold 0.249607 in range [0.213949, 0.285265]...	solution exists & found.
	Iteration #005: testing norm threshold 0.231778 in range [0.213949, 0.249607]...	no solution exists.
	Iteration #006: testing norm threshold 0.240693 in range [0.231778, 0.249607]...	solution exists & found.
	Iteration #007: testing norm threshold 0.236235 in range [0.231778, 0.240693]...	solution exists & found.
	Iteration #008: testing norm threshold 0.234007 in range [0.231778, 0.236235]...	no solution exists.
	Iteration #009: testing norm threshold 0.235121 in range [0.234007, 0.236235]...	no solution exists.
	Iteration #010: testing norm threshold 0.235678 in range [0.235121, 0.236235]...	solution exists & found.
	Iteration #011: testing norm threshold 0.235400 in range [0.235121, 0.235678]...	solution exists & found.
	Iteration #012: testing norm threshold 0.235260 in range [0.235121, 0.235400]...	no solution exists.
	Iteration #013: testing norm threshold 0.235330 in range [0.235260, 0.235400]...	no solution exists.
	Iteration #014: testing norm threshold 0.235365 in range [0.235330, 0.235400]...	solution exists & found.
	Iteration #015: testing norm threshold 0.235348 in range [0.235330, 0.235365]...	solution exists & found.
	Iteration #016: testing norm threshold 0.235339 in range [0.235330, 0.235348]...	no solution exists.


Factual sample: 		 {x0 : -3.528641400000891, x1 : -3.016552287506164, y: False}
Nearest counterfactual sample:	 {x0 : 2.2219251614959625, x1 : -3.016627946406712, y: True} (verified)
Minimum counterfactual distance: 0.235348
