

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


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 0.139427 in range [0.000000, 0.278854]...	no solution exists.
	Iteration #003: testing norm threshold 0.209140 in range [0.139427, 0.278854]...	solution exists & found.
	Iteration #004: testing norm threshold 0.174284 in range [0.139427, 0.209140]...	no solution exists.
	Iteration #005: testing norm threshold 0.191712 in range [0.174284, 0.209140]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182998 in range [0.174284, 0.191712]...	no solution exists.
	Iteration #007: testing norm threshold 0.187355 in range [0.182998, 0.191712]...	no solution exists.
	Iteration #008: testing norm threshold 0.189534 in range [0.187355, 0.191712]...	solution exists & found.
	Iteration #009: testing norm threshold 0.188444 in range [0.187355, 0.189534]...	solution exists & found.
	Iteration #010: testing norm threshold 0.187900 in range [0.187355, 0.188444]...	solution exists & found.
	Iteration #011: testing norm threshold 0.187627 in range [0.187355, 0.187900]...	solution exists & found.
	Iteration #012: testing norm threshold 0.187491 in range [0.187355, 0.187628]...	solution exists & found.
	Iteration #013: testing norm threshold 0.187423 in range [0.187355, 0.187491]...	solution exists & found.
	Iteration #014: testing norm threshold 0.187389 in range [0.187355, 0.187423]...	no solution exists.
	Iteration #015: testing norm threshold 0.187406 in range [0.187389, 0.187423]...	no solution exists.
	Iteration #016: testing norm threshold 0.187415 in range [0.187406, 0.187423]...	solution exists & found.


Factual sample: 		 {x0 : -2.702464624902195, x1 : -2.5678088008344093, y: False}
Nearest counterfactual sample:	 {x0 : 1.8768709243333908, x1 : -2.5678920618350127, y: True} (verified)
Minimum counterfactual distance: 0.187415
