

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


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 0.147329 in range [0.000000, 0.294658]...	no solution exists.
	Iteration #003: testing norm threshold 0.220993 in range [0.147329, 0.294658]...	solution exists & found.
	Iteration #004: testing norm threshold 0.184161 in range [0.147329, 0.220994]...	no solution exists.
	Iteration #005: testing norm threshold 0.202577 in range [0.184161, 0.220994]...	no solution exists.
	Iteration #006: testing norm threshold 0.211785 in range [0.202577, 0.220994]...	solution exists & found.
	Iteration #007: testing norm threshold 0.207181 in range [0.202577, 0.211786]...	no solution exists.
	Iteration #008: testing norm threshold 0.209483 in range [0.207181, 0.211786]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208333 in range [0.207181, 0.209484]...	no solution exists.
	Iteration #010: testing norm threshold 0.208908 in range [0.208333, 0.209484]...	no solution exists.
	Iteration #011: testing norm threshold 0.209196 in range [0.208908, 0.209484]...	no solution exists.
	Iteration #012: testing norm threshold 0.209340 in range [0.209196, 0.209484]...	no solution exists.
	Iteration #013: testing norm threshold 0.209412 in range [0.209340, 0.209484]...	no solution exists.
	Iteration #014: testing norm threshold 0.209448 in range [0.209412, 0.209484]...	solution exists & found.
	Iteration #015: testing norm threshold 0.209430 in range [0.209412, 0.209448]...	solution exists & found.
	Iteration #016: testing norm threshold 0.209421 in range [0.209412, 0.209430]...	solution exists & found.


Factual sample: 		 {x0 : -2.708876538363856, x1 : -3.1304097761439253, y: False}
Nearest counterfactual sample:	 {x0 : 2.407833547520554, x1 : -3.130015635183969, y: True} (verified)
Minimum counterfactual distance: 0.209421
