

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


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 0.150753 in range [0.000000, 0.301506]...	no solution exists.
	Iteration #003: testing norm threshold 0.226129 in range [0.150753, 0.301506]...	solution exists & found.
	Iteration #004: testing norm threshold 0.170931 in range [0.150753, 0.191109]...	no solution exists.
	Iteration #005: testing norm threshold 0.181020 in range [0.170931, 0.191109]...	solution exists & found.
	Iteration #006: testing norm threshold 0.175976 in range [0.170931, 0.181020]...	no solution exists.
	Iteration #007: testing norm threshold 0.178498 in range [0.175976, 0.181020]...	no solution exists.
	Iteration #008: testing norm threshold 0.179759 in range [0.178498, 0.181020]...	solution exists & found.
	Iteration #009: testing norm threshold 0.179128 in range [0.178498, 0.179759]...	solution exists & found.
	Iteration #010: testing norm threshold 0.178813 in range [0.178498, 0.179129]...	solution exists & found.
	Iteration #011: testing norm threshold 0.178656 in range [0.178498, 0.178813]...	no solution exists.
	Iteration #012: testing norm threshold 0.178734 in range [0.178656, 0.178813]...	solution exists & found.
	Iteration #013: testing norm threshold 0.178695 in range [0.178656, 0.178735]...	no solution exists.
	Iteration #014: testing norm threshold 0.178715 in range [0.178695, 0.178735]...	solution exists & found.
	Iteration #015: testing norm threshold 0.178705 in range [0.178695, 0.178715]...	solution exists & found.
	Iteration #016: testing norm threshold 0.178700 in range [0.178695, 0.178705]...	solution exists & found.


Factual sample: 		 {x0 : -0.7774505022645326, x1 : -4.590817891428178, y: False}
Nearest counterfactual sample:	 {x0 : 3.589028175303726, x1 : -4.590813010902909, y: True} (verified)
Minimum counterfactual distance: 0.178700
