

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


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 0.101692 in range [0.000000, 0.203383]...	no solution exists.
	Iteration #003: testing norm threshold 0.152537 in range [0.101692, 0.203383]...	solution exists & found.
	Iteration #004: testing norm threshold 0.127115 in range [0.101692, 0.152538]...	no solution exists.
	Iteration #005: testing norm threshold 0.139826 in range [0.127115, 0.152538]...	no solution exists.
	Iteration #006: testing norm threshold 0.146182 in range [0.139826, 0.152538]...	solution exists & found.
	Iteration #007: testing norm threshold 0.143004 in range [0.139826, 0.146182]...	solution exists & found.
	Iteration #008: testing norm threshold 0.141415 in range [0.139826, 0.143004]...	solution exists & found.
	Iteration #009: testing norm threshold 0.140621 in range [0.139826, 0.141415]...	no solution exists.
	Iteration #010: testing norm threshold 0.141018 in range [0.140621, 0.141415]...	solution exists & found.
	Iteration #011: testing norm threshold 0.140819 in range [0.140621, 0.141018]...	solution exists & found.
	Iteration #012: testing norm threshold 0.140720 in range [0.140621, 0.140819]...	solution exists & found.
	Iteration #013: testing norm threshold 0.140670 in range [0.140621, 0.140720]...	no solution exists.
	Iteration #014: testing norm threshold 0.140695 in range [0.140670, 0.140720]...	no solution exists.
	Iteration #015: testing norm threshold 0.140708 in range [0.140695, 0.140720]...	solution exists & found.
	Iteration #016: testing norm threshold 0.140701 in range [0.140695, 0.140708]...	solution exists & found.


Factual sample: 		 {x0 : -1.6663380551136802, x1 : -2.343398978702055, y: False}
Nearest counterfactual sample:	 {x0 : 1.7715740809553102, x1 : -2.3433175548477863, y: True} (verified)
Minimum counterfactual distance: 0.140701
