

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


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 0.155840 in range [0.000000, 0.311680]...	no solution exists.
	Iteration #003: testing norm threshold 0.233760 in range [0.155840, 0.311680]...	no solution exists.
	Iteration #004: testing norm threshold 0.272720 in range [0.233760, 0.311680]...	no solution exists.
	Iteration #005: testing norm threshold 0.292200 in range [0.272720, 0.311680]...	no solution exists.
	Iteration #006: testing norm threshold 0.301940 in range [0.292200, 0.311680]...	solution exists & found.
	Iteration #007: testing norm threshold 0.297070 in range [0.292200, 0.301940]...	no solution exists.
	Iteration #008: testing norm threshold 0.299505 in range [0.297070, 0.301940]...	solution exists & found.
	Iteration #009: testing norm threshold 0.298288 in range [0.297070, 0.299505]...	no solution exists.
	Iteration #010: testing norm threshold 0.298897 in range [0.298288, 0.299505]...	no solution exists.
	Iteration #011: testing norm threshold 0.299201 in range [0.298897, 0.299505]...	no solution exists.
	Iteration #012: testing norm threshold 0.299353 in range [0.299201, 0.299505]...	solution exists & found.
	Iteration #013: testing norm threshold 0.299277 in range [0.299201, 0.299353]...	solution exists & found.
	Iteration #014: testing norm threshold 0.299239 in range [0.299201, 0.299277]...	no solution exists.
	Iteration #015: testing norm threshold 0.299258 in range [0.299239, 0.299277]...	no solution exists.
	Iteration #016: testing norm threshold 0.299268 in range [0.299258, 0.299277]...	no solution exists.


Factual sample: 		 {x0 : -4.921169116441614, x1 : -3.109859917615024, y: False}
Nearest counterfactual sample:	 {x0 : 2.3912775135836077, x1 : -3.1095798356756696, y: True} (verified)
Minimum counterfactual distance: 0.299277
