

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


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 0.142891 in range [0.000000, 0.285782]...	no solution exists.
	Iteration #003: testing norm threshold 0.214337 in range [0.142891, 0.285782]...	solution exists & found.
	Iteration #004: testing norm threshold 0.173733 in range [0.142891, 0.204575]...	no solution exists.
	Iteration #005: testing norm threshold 0.189154 in range [0.173733, 0.204575]...	no solution exists.
	Iteration #006: testing norm threshold 0.196865 in range [0.189154, 0.204575]...	solution exists & found.
	Iteration #007: testing norm threshold 0.193009 in range [0.189154, 0.196865]...	solution exists & found.
	Iteration #008: testing norm threshold 0.191082 in range [0.189154, 0.193010]...	no solution exists.
	Iteration #009: testing norm threshold 0.192046 in range [0.191082, 0.193010]...	no solution exists.
	Iteration #010: testing norm threshold 0.192528 in range [0.192046, 0.193010]...	solution exists & found.
	Iteration #011: testing norm threshold 0.192287 in range [0.192046, 0.192528]...	no solution exists.
	Iteration #012: testing norm threshold 0.192407 in range [0.192287, 0.192528]...	solution exists & found.
	Iteration #013: testing norm threshold 0.192347 in range [0.192287, 0.192407]...	no solution exists.
	Iteration #014: testing norm threshold 0.192377 in range [0.192347, 0.192407]...	solution exists & found.
	Iteration #015: testing norm threshold 0.192362 in range [0.192347, 0.192377]...	no solution exists.
	Iteration #016: testing norm threshold 0.192370 in range [0.192362, 0.192377]...	solution exists & found.


Factual sample: 		 {x0 : -2.674955742993338, x1 : -2.761180376993378, y: False}
Nearest counterfactual sample:	 {x0 : 2.025502346003733, x1 : -2.7612174460225694, y: True} (verified)
Minimum counterfactual distance: 0.192370
