

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


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 0.123775 in range [0.000000, 0.247549]...	no solution exists.
	Iteration #003: testing norm threshold 0.185662 in range [0.123775, 0.247549]...	no solution exists.
	Iteration #004: testing norm threshold 0.216606 in range [0.185662, 0.247549]...	no solution exists.
	Iteration #005: testing norm threshold 0.232077 in range [0.216606, 0.247549]...	no solution exists.
	Iteration #006: testing norm threshold 0.239813 in range [0.232077, 0.247549]...	solution exists & found.
	Iteration #007: testing norm threshold 0.235945 in range [0.232077, 0.239813]...	solution exists & found.
	Iteration #008: testing norm threshold 0.234011 in range [0.232077, 0.235945]...	no solution exists.
	Iteration #009: testing norm threshold 0.234978 in range [0.234011, 0.235945]...	no solution exists.
	Iteration #010: testing norm threshold 0.235462 in range [0.234978, 0.235945]...	solution exists & found.
	Iteration #011: testing norm threshold 0.235220 in range [0.234978, 0.235462]...	no solution exists.
	Iteration #012: testing norm threshold 0.235341 in range [0.235220, 0.235462]...	solution exists & found.
	Iteration #013: testing norm threshold 0.235281 in range [0.235220, 0.235341]...	no solution exists.
	Iteration #014: testing norm threshold 0.235311 in range [0.235281, 0.235341]...	no solution exists.
	Iteration #015: testing norm threshold 0.235326 in range [0.235311, 0.235341]...	no solution exists.
	Iteration #016: testing norm threshold 0.235334 in range [0.235326, 0.235341]...	no solution exists.


Factual sample: 		 {x0 : -3.528641400000891, x1 : -3.016552287506164, y: False}
Nearest counterfactual sample:	 {x0 : 2.221837542140971, x1 : -3.0165637849829103, y: True} (verified)
Minimum counterfactual distance: 0.235341
