

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


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 0.128582 in range [0.000000, 0.257164]...	no solution exists.
	Iteration #003: testing norm threshold 0.192873 in range [0.128582, 0.257164]...	no solution exists.
	Iteration #004: testing norm threshold 0.225018 in range [0.192873, 0.257164]...	solution exists & found.
	Iteration #005: testing norm threshold 0.208946 in range [0.192873, 0.225018]...	solution exists & found.
	Iteration #006: testing norm threshold 0.200909 in range [0.192873, 0.208946]...	no solution exists.
	Iteration #007: testing norm threshold 0.204927 in range [0.200909, 0.208946]...	no solution exists.
	Iteration #008: testing norm threshold 0.206937 in range [0.204927, 0.208946]...	no solution exists.
	Iteration #009: testing norm threshold 0.207941 in range [0.206937, 0.208946]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207439 in range [0.206937, 0.207941]...	solution exists & found.
	Iteration #011: testing norm threshold 0.207188 in range [0.206937, 0.207439]...	no solution exists.
	Iteration #012: testing norm threshold 0.207313 in range [0.207188, 0.207439]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207251 in range [0.207188, 0.207313]...	solution exists & found.
	Iteration #014: testing norm threshold 0.207219 in range [0.207188, 0.207251]...	no solution exists.
	Iteration #015: testing norm threshold 0.207235 in range [0.207219, 0.207251]...	no solution exists.
	Iteration #016: testing norm threshold 0.207243 in range [0.207235, 0.207251]...	solution exists & found.


Factual sample: 		 {x0 : -3.234407458798979, x1 : -2.5062317864319663, y: False}
Nearest counterfactual sample:	 {x0 : 1.82951098992646, x1 : -2.5062317864319663, y: True} (verified)
Minimum counterfactual distance: 0.207243
