

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


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 0.190859 in range [0.000000, 0.381718]...	no solution exists.
	Iteration #003: testing norm threshold 0.286289 in range [0.190859, 0.381718]...	solution exists & found.
	Iteration #004: testing norm threshold 0.238574 in range [0.190859, 0.286289]...	no solution exists.
	Iteration #005: testing norm threshold 0.262431 in range [0.238574, 0.286289]...	no solution exists.
	Iteration #006: testing norm threshold 0.274360 in range [0.262431, 0.286289]...	solution exists & found.
	Iteration #007: testing norm threshold 0.268396 in range [0.262431, 0.274360]...	no solution exists.
	Iteration #008: testing norm threshold 0.271378 in range [0.268396, 0.274360]...	no solution exists.
	Iteration #009: testing norm threshold 0.272869 in range [0.271378, 0.274360]...	solution exists & found.
	Iteration #010: testing norm threshold 0.272124 in range [0.271378, 0.272869]...	no solution exists.
	Iteration #011: testing norm threshold 0.272496 in range [0.272124, 0.272869]...	solution exists & found.
	Iteration #012: testing norm threshold 0.272310 in range [0.272124, 0.272497]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272217 in range [0.272124, 0.272310]...	no solution exists.
	Iteration #014: testing norm threshold 0.272264 in range [0.272217, 0.272310]...	no solution exists.
	Iteration #015: testing norm threshold 0.272287 in range [0.272264, 0.272310]...	no solution exists.
	Iteration #016: testing norm threshold 0.272299 in range [0.272287, 0.272310]...	no solution exists.
	Iteration #017: testing norm threshold 0.272304 in range [0.272299, 0.272310]...	solution exists & found.


Factual sample: 		 {x0 : -4.511166425358593, x1 : -2.913257952081682, y: False}
Nearest counterfactual sample:	 {x0 : 2.142510619738757, x1 : -2.913257952081682, y: True} (verified)
Minimum counterfactual distance: 0.272304
