

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


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 0.197053 in range [0.000000, 0.394106]...	no solution exists.
	Iteration #003: testing norm threshold 0.295580 in range [0.197053, 0.394106]...	solution exists & found.
	Iteration #004: testing norm threshold 0.246317 in range [0.197053, 0.295580]...	solution exists & found.
	Iteration #005: testing norm threshold 0.221685 in range [0.197053, 0.246317]...	no solution exists.
	Iteration #006: testing norm threshold 0.234001 in range [0.221685, 0.246317]...	no solution exists.
	Iteration #007: testing norm threshold 0.240159 in range [0.234001, 0.246317]...	solution exists & found.
	Iteration #008: testing norm threshold 0.237080 in range [0.234001, 0.240159]...	solution exists & found.
	Iteration #009: testing norm threshold 0.235540 in range [0.234001, 0.237080]...	solution exists & found.
	Iteration #010: testing norm threshold 0.234771 in range [0.234001, 0.235541]...	no solution exists.
	Iteration #011: testing norm threshold 0.235156 in range [0.234771, 0.235541]...	solution exists & found.
	Iteration #012: testing norm threshold 0.234963 in range [0.234771, 0.235156]...	solution exists & found.
	Iteration #013: testing norm threshold 0.234867 in range [0.234771, 0.234963]...	solution exists & found.
	Iteration #014: testing norm threshold 0.234819 in range [0.234771, 0.234867]...	solution exists & found.
	Iteration #015: testing norm threshold 0.234795 in range [0.234771, 0.234819]...	no solution exists.
	Iteration #016: testing norm threshold 0.234807 in range [0.234795, 0.234819]...	solution exists & found.
	Iteration #017: testing norm threshold 0.234801 in range [0.234795, 0.234807]...	solution exists & found.


Factual sample: 		 {x0 : -3.126903102131112, x1 : -3.521793052598437, y: False}
Nearest counterfactual sample:	 {x0 : 2.610286722422343, x1 : -3.5216987345368524, y: True} (verified)
Minimum counterfactual distance: 0.234801
