

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


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 0.148875 in range [0.000000, 0.297749]...	no solution exists.
	Iteration #003: testing norm threshold 0.223312 in range [0.148875, 0.297749]...	solution exists & found.
	Iteration #004: testing norm threshold 0.186093 in range [0.148875, 0.223312]...	no solution exists.
	Iteration #005: testing norm threshold 0.204703 in range [0.186093, 0.223312]...	solution exists & found.
	Iteration #006: testing norm threshold 0.195398 in range [0.186093, 0.204703]...	no solution exists.
	Iteration #007: testing norm threshold 0.200050 in range [0.195398, 0.204703]...	no solution exists.
	Iteration #008: testing norm threshold 0.202377 in range [0.200050, 0.204703]...	solution exists & found.
	Iteration #009: testing norm threshold 0.201213 in range [0.200050, 0.202377]...	solution exists & found.
	Iteration #010: testing norm threshold 0.200632 in range [0.200050, 0.201214]...	no solution exists.
	Iteration #011: testing norm threshold 0.200923 in range [0.200632, 0.201214]...	no solution exists.
	Iteration #012: testing norm threshold 0.201068 in range [0.200923, 0.201214]...	solution exists & found.
	Iteration #013: testing norm threshold 0.200996 in range [0.200923, 0.201068]...	solution exists & found.
	Iteration #014: testing norm threshold 0.200959 in range [0.200923, 0.200996]...	solution exists & found.
	Iteration #015: testing norm threshold 0.200941 in range [0.200923, 0.200959]...	solution exists & found.
	Iteration #016: testing norm threshold 0.200932 in range [0.200923, 0.200941]...	no solution exists.


Factual sample: 		 {x0 : -3.5756653676961485, x1 : -1.8620543328643568, y: False}
Nearest counterfactual sample:	 {x0 : 1.3342690857168416, x1 : -1.8620543328643568, y: True} (verified)
Minimum counterfactual distance: 0.200941
