

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


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 0.159623 in range [0.000000, 0.319246]...	no solution exists.
	Iteration #003: testing norm threshold 0.239434 in range [0.159623, 0.319246]...	no solution exists.
	Iteration #004: testing norm threshold 0.279340 in range [0.239434, 0.319246]...	solution exists & found.
	Iteration #005: testing norm threshold 0.259387 in range [0.239434, 0.279340]...	no solution exists.
	Iteration #006: testing norm threshold 0.269363 in range [0.259387, 0.279340]...	solution exists & found.
	Iteration #007: testing norm threshold 0.264375 in range [0.259387, 0.269364]...	no solution exists.
	Iteration #008: testing norm threshold 0.266869 in range [0.264375, 0.269364]...	no solution exists.
	Iteration #009: testing norm threshold 0.268117 in range [0.266869, 0.269364]...	no solution exists.
	Iteration #010: testing norm threshold 0.268740 in range [0.268117, 0.269364]...	no solution exists.
	Iteration #011: testing norm threshold 0.269052 in range [0.268740, 0.269364]...	no solution exists.
	Iteration #012: testing norm threshold 0.269208 in range [0.269052, 0.269364]...	no solution exists.
	Iteration #013: testing norm threshold 0.269286 in range [0.269208, 0.269364]...	no solution exists.
	Iteration #014: testing norm threshold 0.269325 in range [0.269286, 0.269364]...	solution exists & found.
	Iteration #015: testing norm threshold 0.269305 in range [0.269286, 0.269325]...	no solution exists.
	Iteration #016: testing norm threshold 0.269315 in range [0.269305, 0.269325]...	no solution exists.


Factual sample: 		 {x0 : -3.45034518483309, x1 : -4.198149802293137, y: False}
Nearest counterfactual sample:	 {x0 : 3.13034198626345, x1 : -4.197981614491774, y: True} (verified)
Minimum counterfactual distance: 0.269325
