

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.156443 in range [0.000000, 0.312887]...	no solution exists.
	Iteration #003: testing norm threshold 0.234665 in range [0.156443, 0.312887]...	solution exists & found.
	Iteration #004: testing norm threshold 0.190211 in range [0.156443, 0.223978]...	no solution exists.
	Iteration #005: testing norm threshold 0.207094 in range [0.190211, 0.223978]...	no solution exists.
	Iteration #006: testing norm threshold 0.215536 in range [0.207094, 0.223978]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211315 in range [0.207094, 0.215536]...	no solution exists.
	Iteration #008: testing norm threshold 0.213426 in range [0.211315, 0.215536]...	solution exists & found.
	Iteration #009: testing norm threshold 0.212370 in range [0.211315, 0.213426]...	solution exists & found.
	Iteration #010: testing norm threshold 0.211843 in range [0.211315, 0.212371]...	solution exists & found.
	Iteration #011: testing norm threshold 0.211579 in range [0.211315, 0.211843]...	no solution exists.
	Iteration #012: testing norm threshold 0.211711 in range [0.211579, 0.211843]...	no solution exists.
	Iteration #013: testing norm threshold 0.211777 in range [0.211711, 0.211843]...	solution exists & found.
	Iteration #014: testing norm threshold 0.211744 in range [0.211711, 0.211777]...	no solution exists.
	Iteration #015: testing norm threshold 0.211761 in range [0.211744, 0.211777]...	no solution exists.
	Iteration #016: testing norm threshold 0.211769 in range [0.211761, 0.211777]...	solution exists & found.


Factual sample: 		 {x0 : -2.900313933939848, x1 : -3.084656874285015, y: False}
Nearest counterfactual sample:	 {x0 : 2.274195526980977, x1 : -3.084656874285015, y: True} (verified)
Minimum counterfactual distance: 0.211769
