

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


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 0.118666 in range [0.000000, 0.237332]...	no solution exists.
	Iteration #003: testing norm threshold 0.177999 in range [0.118666, 0.237332]...	no solution exists.
	Iteration #004: testing norm threshold 0.207665 in range [0.177999, 0.237332]...	solution exists & found.
	Iteration #005: testing norm threshold 0.188807 in range [0.177999, 0.199616]...	solution exists & found.
	Iteration #006: testing norm threshold 0.183403 in range [0.177999, 0.188807]...	no solution exists.
	Iteration #007: testing norm threshold 0.186105 in range [0.183403, 0.188807]...	no solution exists.
	Iteration #008: testing norm threshold 0.187456 in range [0.186105, 0.188807]...	solution exists & found.
	Iteration #009: testing norm threshold 0.186781 in range [0.186105, 0.187456]...	no solution exists.
	Iteration #010: testing norm threshold 0.187119 in range [0.186781, 0.187456]...	no solution exists.
	Iteration #011: testing norm threshold 0.187287 in range [0.187119, 0.187456]...	no solution exists.
	Iteration #012: testing norm threshold 0.187372 in range [0.187287, 0.187456]...	no solution exists.
	Iteration #013: testing norm threshold 0.187414 in range [0.187372, 0.187456]...	solution exists & found.
	Iteration #014: testing norm threshold 0.187393 in range [0.187372, 0.187414]...	no solution exists.
	Iteration #015: testing norm threshold 0.187404 in range [0.187393, 0.187414]...	no solution exists.
	Iteration #016: testing norm threshold 0.187409 in range [0.187404, 0.187414]...	solution exists & found.


Factual sample: 		 {x0 : -2.702464624902195, x1 : -2.5678088008344093, y: False}
Nearest counterfactual sample:	 {x0 : 1.8768161627455364, x1 : -2.5678088008344093, y: True} (verified)
Minimum counterfactual distance: 0.187409
