

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


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 0.172529 in range [0.000000, 0.345058]...	no solution exists.
	Iteration #003: testing norm threshold 0.258794 in range [0.172529, 0.345058]...	solution exists & found.
	Iteration #004: testing norm threshold 0.215662 in range [0.172529, 0.258794]...	no solution exists.
	Iteration #005: testing norm threshold 0.237228 in range [0.215662, 0.258794]...	solution exists & found.
	Iteration #006: testing norm threshold 0.226445 in range [0.215662, 0.237228]...	no solution exists.
	Iteration #007: testing norm threshold 0.231836 in range [0.226445, 0.237228]...	no solution exists.
	Iteration #008: testing norm threshold 0.234532 in range [0.231836, 0.237228]...	no solution exists.
	Iteration #009: testing norm threshold 0.235880 in range [0.234532, 0.237228]...	solution exists & found.
	Iteration #010: testing norm threshold 0.235206 in range [0.234532, 0.235880]...	solution exists & found.
	Iteration #011: testing norm threshold 0.234869 in range [0.234532, 0.235206]...	solution exists & found.
	Iteration #012: testing norm threshold 0.234701 in range [0.234532, 0.234869]...	no solution exists.
	Iteration #013: testing norm threshold 0.234785 in range [0.234701, 0.234869]...	no solution exists.
	Iteration #014: testing norm threshold 0.234827 in range [0.234785, 0.234869]...	solution exists & found.
	Iteration #015: testing norm threshold 0.234806 in range [0.234785, 0.234827]...	solution exists & found.
	Iteration #016: testing norm threshold 0.234795 in range [0.234785, 0.234806]...	no solution exists.
	Iteration #017: testing norm threshold 0.234801 in range [0.234795, 0.234806]...	solution exists & found.


Factual sample: 		 {x0 : -3.126903102131112, x1 : -3.521793052598437, y: False}
Nearest counterfactual sample:	 {x0 : 2.6102890466861246, x1 : -3.5217037467848, y: True} (verified)
Minimum counterfactual distance: 0.234801
