

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


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 0.151390 in range [0.000000, 0.302779]...	no solution exists.
	Iteration #003: testing norm threshold 0.227084 in range [0.151390, 0.302779]...	no solution exists.
	Iteration #004: testing norm threshold 0.264932 in range [0.227084, 0.302779]...	no solution exists.
	Iteration #005: testing norm threshold 0.283855 in range [0.264932, 0.302779]...	no solution exists.
	Iteration #006: testing norm threshold 0.293317 in range [0.283855, 0.302779]...	solution exists & found.
	Iteration #007: testing norm threshold 0.288586 in range [0.283855, 0.293317]...	no solution exists.
	Iteration #008: testing norm threshold 0.290952 in range [0.288586, 0.293317]...	solution exists & found.
	Iteration #009: testing norm threshold 0.289769 in range [0.288586, 0.290952]...	no solution exists.
	Iteration #010: testing norm threshold 0.290361 in range [0.289769, 0.290952]...	no solution exists.
	Iteration #011: testing norm threshold 0.290656 in range [0.290361, 0.290952]...	solution exists & found.
	Iteration #012: testing norm threshold 0.290508 in range [0.290361, 0.290656]...	solution exists & found.
	Iteration #013: testing norm threshold 0.290435 in range [0.290361, 0.290509]...	solution exists & found.
	Iteration #014: testing norm threshold 0.290398 in range [0.290361, 0.290435]...	solution exists & found.
	Iteration #015: testing norm threshold 0.290379 in range [0.290361, 0.290398]...	solution exists & found.
	Iteration #016: testing norm threshold 0.290370 in range [0.290361, 0.290379]...	no solution exists.


Factual sample: 		 {x0 : -3.852508814238948, x1 : -4.162414570205431, y: False}
Nearest counterfactual sample:	 {x0 : 3.2428203285825172, x1 : -4.162414570205431, y: True} (verified)
Minimum counterfactual distance: 0.290379
