

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


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 0.206114 in range [0.000000, 0.412228]...	no solution exists.
	Iteration #003: testing norm threshold 0.309171 in range [0.206114, 0.412228]...	solution exists & found.
	Iteration #004: testing norm threshold 0.257642 in range [0.206114, 0.309171]...	no solution exists.
	Iteration #005: testing norm threshold 0.283407 in range [0.257642, 0.309171]...	solution exists & found.
	Iteration #006: testing norm threshold 0.270525 in range [0.257642, 0.283407]...	no solution exists.
	Iteration #007: testing norm threshold 0.276966 in range [0.270525, 0.283407]...	no solution exists.
	Iteration #008: testing norm threshold 0.280186 in range [0.276966, 0.283407]...	no solution exists.
	Iteration #009: testing norm threshold 0.281797 in range [0.280186, 0.283407]...	no solution exists.
	Iteration #010: testing norm threshold 0.282602 in range [0.281797, 0.283407]...	no solution exists.
	Iteration #011: testing norm threshold 0.283004 in range [0.282602, 0.283407]...	solution exists & found.
	Iteration #012: testing norm threshold 0.282803 in range [0.282602, 0.283004]...	no solution exists.
	Iteration #013: testing norm threshold 0.282904 in range [0.282803, 0.283004]...	solution exists & found.
	Iteration #014: testing norm threshold 0.282853 in range [0.282803, 0.282904]...	no solution exists.
	Iteration #015: testing norm threshold 0.282879 in range [0.282853, 0.282904]...	no solution exists.
	Iteration #016: testing norm threshold 0.282891 in range [0.282879, 0.282904]...	solution exists & found.
	Iteration #017: testing norm threshold 0.282885 in range [0.282879, 0.282891]...	solution exists & found.


Factual sample: 		 {x0 : -3.867287565312999, x1 : -4.086850454497316, y: False}
Nearest counterfactual sample:	 {x0 : 3.044769546341238, x1 : -4.0867081783298405, y: True} (verified)
Minimum counterfactual distance: 0.282885
