

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


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 0.141408 in range [0.000000, 0.282816]...	no solution exists.
	Iteration #003: testing norm threshold 0.212112 in range [0.141408, 0.282816]...	no solution exists.
	Iteration #004: testing norm threshold 0.247464 in range [0.212112, 0.282816]...	no solution exists.
	Iteration #005: testing norm threshold 0.265140 in range [0.247464, 0.282816]...	no solution exists.
	Iteration #006: testing norm threshold 0.273978 in range [0.265140, 0.282816]...	solution exists & found.
	Iteration #007: testing norm threshold 0.269559 in range [0.265140, 0.273978]...	no solution exists.
	Iteration #008: testing norm threshold 0.271768 in range [0.269559, 0.273978]...	solution exists & found.
	Iteration #009: testing norm threshold 0.270664 in range [0.269559, 0.271768]...	solution exists & found.
	Iteration #010: testing norm threshold 0.270111 in range [0.269559, 0.270664]...	no solution exists.
	Iteration #011: testing norm threshold 0.270387 in range [0.270111, 0.270664]...	no solution exists.
	Iteration #012: testing norm threshold 0.270526 in range [0.270387, 0.270664]...	solution exists & found.
	Iteration #013: testing norm threshold 0.270457 in range [0.270387, 0.270526]...	solution exists & found.
	Iteration #014: testing norm threshold 0.270422 in range [0.270387, 0.270457]...	solution exists & found.
	Iteration #015: testing norm threshold 0.270405 in range [0.270387, 0.270422]...	no solution exists.
	Iteration #016: testing norm threshold 0.270413 in range [0.270405, 0.270422]...	solution exists & found.


Factual sample: 		 {x0 : -4.72563401934795, x1 : -2.4794886036709, y: False}
Nearest counterfactual sample:	 {x0 : 1.8818389638205266, x1 : -2.4794886036709, y: True} (verified)
Minimum counterfactual distance: 0.270413
