

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


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 0.110911 in range [0.000000, 0.221821]...	no solution exists.
	Iteration #003: testing norm threshold 0.166366 in range [0.110911, 0.221821]...	no solution exists.
	Iteration #004: testing norm threshold 0.194094 in range [0.166366, 0.221821]...	no solution exists.
	Iteration #005: testing norm threshold 0.207957 in range [0.194094, 0.221821]...	no solution exists.
	Iteration #006: testing norm threshold 0.214889 in range [0.207957, 0.221821]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211423 in range [0.207957, 0.214889]...	solution exists & found.
	Iteration #008: testing norm threshold 0.209691 in range [0.207957, 0.211424]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208824 in range [0.207957, 0.209691]...	no solution exists.
	Iteration #010: testing norm threshold 0.209257 in range [0.208824, 0.209691]...	no solution exists.
	Iteration #011: testing norm threshold 0.209474 in range [0.209257, 0.209691]...	solution exists & found.
	Iteration #012: testing norm threshold 0.209366 in range [0.209257, 0.209474]...	no solution exists.
	Iteration #013: testing norm threshold 0.209420 in range [0.209366, 0.209474]...	solution exists & found.
	Iteration #014: testing norm threshold 0.209393 in range [0.209366, 0.209420]...	no solution exists.
	Iteration #015: testing norm threshold 0.209406 in range [0.209393, 0.209420]...	no solution exists.
	Iteration #016: testing norm threshold 0.209413 in range [0.209406, 0.209420]...	solution exists & found.


Factual sample: 		 {x0 : -2.708876538363856, x1 : -3.1304097761439253, y: False}
Nearest counterfactual sample:	 {x0 : 2.4080737099827756, x1 : -3.1304097761439253, y: True} (verified)
Minimum counterfactual distance: 0.209413
