

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


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 0.209768 in range [0.172529, 0.247008]...	no solution exists.
	Iteration #005: testing norm threshold 0.228388 in range [0.209768, 0.247008]...	no solution exists.
	Iteration #006: testing norm threshold 0.237698 in range [0.228388, 0.247008]...	solution exists & found.
	Iteration #007: testing norm threshold 0.233043 in range [0.228388, 0.237698]...	no solution exists.
	Iteration #008: testing norm threshold 0.235371 in range [0.233043, 0.237698]...	solution exists & found.
	Iteration #009: testing norm threshold 0.234207 in range [0.233043, 0.235371]...	no solution exists.
	Iteration #010: testing norm threshold 0.234789 in range [0.234207, 0.235371]...	no solution exists.
	Iteration #011: testing norm threshold 0.235080 in range [0.234789, 0.235371]...	solution exists & found.
	Iteration #012: testing norm threshold 0.234934 in range [0.234789, 0.235080]...	solution exists & found.
	Iteration #013: testing norm threshold 0.234862 in range [0.234789, 0.234934]...	solution exists & found.
	Iteration #014: testing norm threshold 0.234825 in range [0.234789, 0.234862]...	solution exists & found.
	Iteration #015: testing norm threshold 0.234807 in range [0.234789, 0.234825]...	solution exists & found.
	Iteration #016: testing norm threshold 0.234798 in range [0.234789, 0.234807]...	no solution exists.


Factual sample: 		 {x0 : -3.126903102131112, x1 : -3.521793052598437, y: False}
Nearest counterfactual sample:	 {x0 : 2.6101733511401246, x1 : -3.5214542506787248, y: True} (verified)
Minimum counterfactual distance: 0.234807
