

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


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 0.145754 in range [0.000000, 0.291507]...	no solution exists.
	Iteration #003: testing norm threshold 0.218631 in range [0.145754, 0.291507]...	solution exists & found.
	Iteration #004: testing norm threshold 0.177214 in range [0.145754, 0.208674]...	no solution exists.
	Iteration #005: testing norm threshold 0.192944 in range [0.177214, 0.208674]...	no solution exists.
	Iteration #006: testing norm threshold 0.200809 in range [0.192944, 0.208674]...	solution exists & found.
	Iteration #007: testing norm threshold 0.196876 in range [0.192944, 0.200809]...	solution exists & found.
	Iteration #008: testing norm threshold 0.194910 in range [0.192944, 0.196876]...	no solution exists.
	Iteration #009: testing norm threshold 0.195893 in range [0.194910, 0.196876]...	no solution exists.
	Iteration #010: testing norm threshold 0.196385 in range [0.195893, 0.196876]...	no solution exists.
	Iteration #011: testing norm threshold 0.196631 in range [0.196385, 0.196876]...	solution exists & found.
	Iteration #012: testing norm threshold 0.196508 in range [0.196385, 0.196631]...	solution exists & found.
	Iteration #013: testing norm threshold 0.196446 in range [0.196385, 0.196508]...	no solution exists.
	Iteration #014: testing norm threshold 0.196477 in range [0.196446, 0.196508]...	solution exists & found.
	Iteration #015: testing norm threshold 0.196462 in range [0.196446, 0.196477]...	no solution exists.
	Iteration #016: testing norm threshold 0.196469 in range [0.196462, 0.196477]...	solution exists & found.


Factual sample: 		 {x0 : -3.775496411731192, x1 : -1.4602026955070155, y: False}
Nearest counterfactual sample:	 {x0 : 1.0249638484141992, x1 : -1.4600054238827458, y: True} (verified)
Minimum counterfactual distance: 0.196469
