

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


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 0.188578 in range [0.000000, 0.377156]...	no solution exists.
	Iteration #003: testing norm threshold 0.282867 in range [0.188578, 0.377156]...	solution exists & found.
	Iteration #004: testing norm threshold 0.211726 in range [0.188578, 0.234874]...	no solution exists.
	Iteration #005: testing norm threshold 0.223300 in range [0.211726, 0.234874]...	solution exists & found.
	Iteration #006: testing norm threshold 0.217513 in range [0.211726, 0.223300]...	no solution exists.
	Iteration #007: testing norm threshold 0.220406 in range [0.217513, 0.223300]...	no solution exists.
	Iteration #008: testing norm threshold 0.221853 in range [0.220406, 0.223300]...	no solution exists.
	Iteration #009: testing norm threshold 0.222577 in range [0.221853, 0.223300]...	no solution exists.
	Iteration #010: testing norm threshold 0.222938 in range [0.222577, 0.223300]...	solution exists & found.
	Iteration #011: testing norm threshold 0.222757 in range [0.222577, 0.222938]...	solution exists & found.
	Iteration #012: testing norm threshold 0.222667 in range [0.222577, 0.222758]...	solution exists & found.
	Iteration #013: testing norm threshold 0.222622 in range [0.222577, 0.222667]...	no solution exists.
	Iteration #014: testing norm threshold 0.222645 in range [0.222622, 0.222667]...	no solution exists.
	Iteration #015: testing norm threshold 0.222656 in range [0.222645, 0.222667]...	no solution exists.
	Iteration #016: testing norm threshold 0.222661 in range [0.222656, 0.222667]...	no solution exists.


Factual sample: 		 {x0 : -2.4425314289186755, x1 : -4.026219185607966, y: False}
Nearest counterfactual sample:	 {x0 : 2.998272395888962, x1 : -4.026219185607966, y: True} (verified)
Minimum counterfactual distance: 0.222667
