

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


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 0.208809 in range [0.000000, 0.417617]...	no solution exists.
	Iteration #003: testing norm threshold 0.313213 in range [0.208809, 0.417617]...	solution exists & found.
	Iteration #004: testing norm threshold 0.261011 in range [0.208809, 0.313213]...	no solution exists.
	Iteration #005: testing norm threshold 0.287112 in range [0.261011, 0.313213]...	solution exists & found.
	Iteration #006: testing norm threshold 0.274061 in range [0.261011, 0.287112]...	no solution exists.
	Iteration #007: testing norm threshold 0.280587 in range [0.274061, 0.287112]...	solution exists & found.
	Iteration #008: testing norm threshold 0.277324 in range [0.274061, 0.280587]...	solution exists & found.
	Iteration #009: testing norm threshold 0.275693 in range [0.274061, 0.277324]...	no solution exists.
	Iteration #010: testing norm threshold 0.276509 in range [0.275693, 0.277324]...	no solution exists.
	Iteration #011: testing norm threshold 0.276916 in range [0.276509, 0.277324]...	no solution exists.
	Iteration #012: testing norm threshold 0.277120 in range [0.276916, 0.277324]...	no solution exists.
	Iteration #013: testing norm threshold 0.277222 in range [0.277120, 0.277324]...	no solution exists.
	Iteration #014: testing norm threshold 0.277273 in range [0.277222, 0.277324]...	solution exists & found.
	Iteration #015: testing norm threshold 0.277248 in range [0.277222, 0.277273]...	solution exists & found.
	Iteration #016: testing norm threshold 0.277235 in range [0.277222, 0.277248]...	solution exists & found.
	Iteration #017: testing norm threshold 0.277229 in range [0.277222, 0.277235]...	no solution exists.


Factual sample: 		 {x0 : -4.1680605780027244, x1 : -3.5162516446079115, y: False}
Nearest counterfactual sample:	 {x0 : 2.606048816901435, x1 : -3.5162073594158447, y: True} (verified)
Minimum counterfactual distance: 0.277235
