

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


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 0.121146 in range [0.000000, 0.242291]...	no solution exists.
	Iteration #003: testing norm threshold 0.181718 in range [0.121146, 0.242291]...	no solution exists.
	Iteration #004: testing norm threshold 0.212005 in range [0.181718, 0.242291]...	solution exists & found.
	Iteration #005: testing norm threshold 0.196862 in range [0.181718, 0.212005]...	solution exists & found.
	Iteration #006: testing norm threshold 0.189290 in range [0.181718, 0.196862]...	no solution exists.
	Iteration #007: testing norm threshold 0.193076 in range [0.189290, 0.196862]...	solution exists & found.
	Iteration #008: testing norm threshold 0.191183 in range [0.189290, 0.193076]...	no solution exists.
	Iteration #009: testing norm threshold 0.192129 in range [0.191183, 0.193076]...	no solution exists.
	Iteration #010: testing norm threshold 0.192603 in range [0.192129, 0.193076]...	solution exists & found.
	Iteration #011: testing norm threshold 0.192366 in range [0.192129, 0.192603]...	solution exists & found.
	Iteration #012: testing norm threshold 0.192248 in range [0.192129, 0.192366]...	no solution exists.
	Iteration #013: testing norm threshold 0.192307 in range [0.192248, 0.192366]...	no solution exists.
	Iteration #014: testing norm threshold 0.192337 in range [0.192307, 0.192366]...	no solution exists.
	Iteration #015: testing norm threshold 0.192351 in range [0.192337, 0.192366]...	no solution exists.
	Iteration #016: testing norm threshold 0.192359 in range [0.192351, 0.192366]...	no solution exists.


Factual sample: 		 {x0 : -2.674955742993338, x1 : -2.761180376993378, y: False}
Nearest counterfactual sample:	 {x0 : 2.0254494588151974, x1 : -2.76117549163072, y: True} (verified)
Minimum counterfactual distance: 0.192366
