

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


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 0.177285 in range [0.000000, 0.354569]...	no solution exists.
	Iteration #003: testing norm threshold 0.265927 in range [0.177285, 0.354569]...	solution exists & found.
	Iteration #004: testing norm threshold 0.216853 in range [0.177285, 0.256421]...	solution exists & found.
	Iteration #005: testing norm threshold 0.197069 in range [0.177285, 0.216853]...	no solution exists.
	Iteration #006: testing norm threshold 0.206961 in range [0.197069, 0.216853]...	solution exists & found.
	Iteration #007: testing norm threshold 0.202015 in range [0.197069, 0.206961]...	no solution exists.
	Iteration #008: testing norm threshold 0.204488 in range [0.202015, 0.206961]...	no solution exists.
	Iteration #009: testing norm threshold 0.205725 in range [0.204488, 0.206961]...	no solution exists.
	Iteration #010: testing norm threshold 0.206343 in range [0.205725, 0.206961]...	no solution exists.
	Iteration #011: testing norm threshold 0.206652 in range [0.206343, 0.206961]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206497 in range [0.206343, 0.206652]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206420 in range [0.206343, 0.206498]...	no solution exists.
	Iteration #014: testing norm threshold 0.206459 in range [0.206420, 0.206498]...	no solution exists.
	Iteration #015: testing norm threshold 0.206478 in range [0.206459, 0.206498]...	no solution exists.
	Iteration #016: testing norm threshold 0.206488 in range [0.206478, 0.206498]...	no solution exists.


Factual sample: 		 {x0 : -2.123303283569401, x1 : -3.927587564944067, y: False}
Nearest counterfactual sample:	 {x0 : 2.9223455244318557, x1 : -3.9275366233581237, y: True} (verified)
Minimum counterfactual distance: 0.206497
