

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -8788955223321401/2251799813685248,
                           'symbol': x0_counterfactual,
                           'upper_bound': 4311922152803871/1125899906842624},
                    'x1': {'lower_bound': -151036617111025/35184372088832,
                           'symbol': x1_counterfactual,
                           'upper_bound': 2748853772662511/562949953421312}},
 'interventional': {'x0': {'lower_bound': -8788955223321401/2251799813685248,
                           'symbol': x0_interventional,
                           'upper_bound': 4311922152803871/1125899906842624},
                    'x1': {'lower_bound': -151036617111025/35184372088832,
                           'symbol': x1_interventional,
                           'upper_bound': 2748853772662511/562949953421312}},
 '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 0.057933 in range [0.000000, 0.115867]...	no solution exists.
	Iteration #003: testing norm threshold 0.086900 in range [0.057933, 0.115867]...	no solution exists.
	Iteration #004: testing norm threshold 0.101383 in range [0.086900, 0.115867]...	no solution exists.
	Iteration #005: testing norm threshold 0.108625 in range [0.101383, 0.115867]...	solution exists & found.
	Iteration #006: testing norm threshold 0.105004 in range [0.101383, 0.108625]...	solution exists & found.
	Iteration #007: testing norm threshold 0.103194 in range [0.101383, 0.105004]...	solution exists & found.
	Iteration #008: testing norm threshold 0.102289 in range [0.101383, 0.103194]...	solution exists & found.
	Iteration #009: testing norm threshold 0.101836 in range [0.101383, 0.102289]...	solution exists & found.
	Iteration #010: testing norm threshold 0.101610 in range [0.101383, 0.101836]...	no solution exists.
	Iteration #011: testing norm threshold 0.101723 in range [0.101610, 0.101836]...	solution exists & found.
	Iteration #012: testing norm threshold 0.101667 in range [0.101610, 0.101723]...	no solution exists.
	Iteration #013: testing norm threshold 0.101695 in range [0.101667, 0.101723]...	no solution exists.
	Iteration #014: testing norm threshold 0.101709 in range [0.101695, 0.101723]...	solution exists & found.
	Iteration #015: testing norm threshold 0.101702 in range [0.101695, 0.101709]...	no solution exists.


Factual sample: 		 {x0 : -0.5123287721920815, x1 : -1.1712286004006711, y: False}
Nearest counterfactual sample:	 {x0 : -0.5123637189605644, x1 : 0.6952254459079753, y: True} (verified)
Minimum counterfactual distance: 0.101709
