

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


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 0.148263 in range [0.000000, 0.296525]...	no solution exists.
	Iteration #003: testing norm threshold 0.222394 in range [0.148263, 0.296525]...	no solution exists.
	Iteration #004: testing norm threshold 0.259460 in range [0.222394, 0.296525]...	no solution exists.
	Iteration #005: testing norm threshold 0.277992 in range [0.259460, 0.296525]...	no solution exists.
	Iteration #006: testing norm threshold 0.287259 in range [0.277992, 0.296525]...	solution exists & found.
	Iteration #007: testing norm threshold 0.282626 in range [0.277992, 0.287259]...	no solution exists.
	Iteration #008: testing norm threshold 0.284942 in range [0.282626, 0.287259]...	solution exists & found.
	Iteration #009: testing norm threshold 0.283784 in range [0.282626, 0.284942]...	no solution exists.
	Iteration #010: testing norm threshold 0.284363 in range [0.283784, 0.284942]...	solution exists & found.
	Iteration #011: testing norm threshold 0.284074 in range [0.283784, 0.284363]...	no solution exists.
	Iteration #012: testing norm threshold 0.284218 in range [0.284074, 0.284363]...	solution exists & found.
	Iteration #013: testing norm threshold 0.284146 in range [0.284074, 0.284219]...	solution exists & found.
	Iteration #014: testing norm threshold 0.284110 in range [0.284074, 0.284146]...	no solution exists.
	Iteration #015: testing norm threshold 0.284128 in range [0.284110, 0.284146]...	solution exists & found.
	Iteration #016: testing norm threshold 0.284119 in range [0.284110, 0.284128]...	solution exists & found.


Factual sample: 		 {x0 : -3.467902672635448, x1 : -4.449051185512797, y: False}
Nearest counterfactual sample:	 {x0 : 3.4744621005826586, x1 : -4.449051185512797, y: True} (verified)
Minimum counterfactual distance: 0.284119
