

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


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 0.173399 in range [0.000000, 0.346797]...	no solution exists.
	Iteration #003: testing norm threshold 0.260098 in range [0.173399, 0.346797]...	solution exists & found.
	Iteration #004: testing norm threshold 0.212128 in range [0.173399, 0.250858]...	solution exists & found.
	Iteration #005: testing norm threshold 0.192763 in range [0.173399, 0.212128]...	no solution exists.
	Iteration #006: testing norm threshold 0.202446 in range [0.192763, 0.212128]...	solution exists & found.
	Iteration #007: testing norm threshold 0.197605 in range [0.192763, 0.202446]...	no solution exists.
	Iteration #008: testing norm threshold 0.200025 in range [0.197605, 0.202446]...	no solution exists.
	Iteration #009: testing norm threshold 0.201236 in range [0.200025, 0.202446]...	solution exists & found.
	Iteration #010: testing norm threshold 0.200631 in range [0.200025, 0.201236]...	no solution exists.
	Iteration #011: testing norm threshold 0.200933 in range [0.200631, 0.201236]...	solution exists & found.
	Iteration #012: testing norm threshold 0.200782 in range [0.200631, 0.200933]...	no solution exists.
	Iteration #013: testing norm threshold 0.200858 in range [0.200782, 0.200933]...	no solution exists.
	Iteration #014: testing norm threshold 0.200895 in range [0.200858, 0.200933]...	no solution exists.
	Iteration #015: testing norm threshold 0.200914 in range [0.200895, 0.200933]...	no solution exists.
	Iteration #016: testing norm threshold 0.200924 in range [0.200914, 0.200933]...	no solution exists.


Factual sample: 		 {x0 : -3.5756653676961485, x1 : -1.8620543328643568, y: False}
Nearest counterfactual sample:	 {x0 : 1.3340761528234355, x1 : -1.8620543328643568, y: True} (verified)
Minimum counterfactual distance: 0.200933
