

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


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 0.136019 in range [0.000000, 0.272038]...	no solution exists.
	Iteration #003: testing norm threshold 0.204028 in range [0.136019, 0.272038]...	no solution exists.
	Iteration #004: testing norm threshold 0.238033 in range [0.204028, 0.272038]...	no solution exists.
	Iteration #005: testing norm threshold 0.255036 in range [0.238033, 0.272038]...	no solution exists.
	Iteration #006: testing norm threshold 0.263537 in range [0.255036, 0.272038]...	solution exists & found.
	Iteration #007: testing norm threshold 0.259286 in range [0.255036, 0.263537]...	no solution exists.
	Iteration #008: testing norm threshold 0.261411 in range [0.259286, 0.263537]...	solution exists & found.
	Iteration #009: testing norm threshold 0.260349 in range [0.259286, 0.261412]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259818 in range [0.259286, 0.260349]...	no solution exists.
	Iteration #011: testing norm threshold 0.260083 in range [0.259818, 0.260349]...	solution exists & found.
	Iteration #012: testing norm threshold 0.259950 in range [0.259818, 0.260083]...	solution exists & found.
	Iteration #013: testing norm threshold 0.259884 in range [0.259818, 0.259951]...	solution exists & found.
	Iteration #014: testing norm threshold 0.259851 in range [0.259818, 0.259884]...	solution exists & found.
	Iteration #015: testing norm threshold 0.259834 in range [0.259818, 0.259851]...	solution exists & found.
	Iteration #016: testing norm threshold 0.259826 in range [0.259818, 0.259834]...	no solution exists.


Factual sample: 		 {x0 : -4.049208987231907, x1 : -3.117737837408982, y: False}
Nearest counterfactual sample:	 {x0 : 2.2995260090239937, x1 : -3.1175152704222318, y: True} (verified)
Minimum counterfactual distance: 0.259834
