

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


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 0.143372 in range [0.000000, 0.286743]...	no solution exists.
	Iteration #003: testing norm threshold 0.215057 in range [0.143372, 0.286743]...	solution exists & found.
	Iteration #004: testing norm threshold 0.174317 in range [0.143372, 0.205263]...	no solution exists.
	Iteration #005: testing norm threshold 0.189790 in range [0.174317, 0.205263]...	no solution exists.
	Iteration #006: testing norm threshold 0.197527 in range [0.189790, 0.205263]...	solution exists & found.
	Iteration #007: testing norm threshold 0.193659 in range [0.189790, 0.197527]...	solution exists & found.
	Iteration #008: testing norm threshold 0.191724 in range [0.189790, 0.193659]...	no solution exists.
	Iteration #009: testing norm threshold 0.192692 in range [0.191724, 0.193659]...	no solution exists.
	Iteration #010: testing norm threshold 0.193175 in range [0.192692, 0.193659]...	solution exists & found.
	Iteration #011: testing norm threshold 0.192933 in range [0.192692, 0.193175]...	no solution exists.
	Iteration #012: testing norm threshold 0.193054 in range [0.192933, 0.193175]...	solution exists & found.
	Iteration #013: testing norm threshold 0.192994 in range [0.192933, 0.193054]...	no solution exists.
	Iteration #014: testing norm threshold 0.193024 in range [0.192994, 0.193054]...	no solution exists.
	Iteration #015: testing norm threshold 0.193039 in range [0.193024, 0.193054]...	no solution exists.
	Iteration #016: testing norm threshold 0.193047 in range [0.193039, 0.193054]...	no solution exists.


Factual sample: 		 {x0 : -3.929591347269812, x1 : -1.151433934645259, y: False}
Nearest counterfactual sample:	 {x0 : 0.7876197731740032, x1 : -1.151422000473067, y: True} (verified)
Minimum counterfactual distance: 0.193054
