

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


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 0.160775 in range [0.000000, 0.321551]...	no solution exists.
	Iteration #003: testing norm threshold 0.241163 in range [0.160775, 0.321551]...	solution exists & found.
	Iteration #004: testing norm threshold 0.200969 in range [0.160775, 0.241163]...	solution exists & found.
	Iteration #005: testing norm threshold 0.180872 in range [0.160775, 0.200969]...	no solution exists.
	Iteration #006: testing norm threshold 0.190921 in range [0.180872, 0.200969]...	no solution exists.
	Iteration #007: testing norm threshold 0.195945 in range [0.190921, 0.200969]...	solution exists & found.
	Iteration #008: testing norm threshold 0.193433 in range [0.190921, 0.195945]...	no solution exists.
	Iteration #009: testing norm threshold 0.194689 in range [0.193433, 0.195945]...	solution exists & found.
	Iteration #010: testing norm threshold 0.194061 in range [0.193433, 0.194689]...	solution exists & found.
	Iteration #011: testing norm threshold 0.193747 in range [0.193433, 0.194061]...	no solution exists.
	Iteration #012: testing norm threshold 0.193904 in range [0.193747, 0.194061]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193826 in range [0.193747, 0.193904]...	solution exists & found.
	Iteration #014: testing norm threshold 0.193786 in range [0.193747, 0.193826]...	no solution exists.
	Iteration #015: testing norm threshold 0.193806 in range [0.193786, 0.193826]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193796 in range [0.193786, 0.193806]...	solution exists & found.


Factual sample: 		 {x0 : -3.055041704721473, x1 : -2.230301559014469, y: False}
Nearest counterfactual sample:	 {x0 : 1.6800043238272697, x1 : -2.23001455870342, y: True} (verified)
Minimum counterfactual distance: 0.193796
