

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


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 0.142863 in range [0.000000, 0.285725]...	no solution exists.
	Iteration #003: testing norm threshold 0.214294 in range [0.142863, 0.285725]...	solution exists & found.
	Iteration #004: testing norm threshold 0.178578 in range [0.142863, 0.214294]...	solution exists & found.
	Iteration #005: testing norm threshold 0.160720 in range [0.142863, 0.178578]...	no solution exists.
	Iteration #006: testing norm threshold 0.169649 in range [0.160720, 0.178578]...	solution exists & found.
	Iteration #007: testing norm threshold 0.165185 in range [0.160720, 0.169650]...	no solution exists.
	Iteration #008: testing norm threshold 0.167417 in range [0.165185, 0.169650]...	solution exists & found.
	Iteration #009: testing norm threshold 0.166301 in range [0.165185, 0.167417]...	no solution exists.
	Iteration #010: testing norm threshold 0.166859 in range [0.166301, 0.167417]...	solution exists & found.
	Iteration #011: testing norm threshold 0.166580 in range [0.166301, 0.166859]...	no solution exists.
	Iteration #012: testing norm threshold 0.166720 in range [0.166580, 0.166859]...	no solution exists.
	Iteration #013: testing norm threshold 0.166790 in range [0.166720, 0.166859]...	no solution exists.
	Iteration #014: testing norm threshold 0.166824 in range [0.166790, 0.166859]...	solution exists & found.
	Iteration #015: testing norm threshold 0.166807 in range [0.166790, 0.166825]...	no solution exists.
	Iteration #016: testing norm threshold 0.166816 in range [0.166807, 0.166825]...	no solution exists.


Factual sample: 		 {x0 : -1.986852545086174, x1 : -2.7363097147507576, y: False}
Nearest counterfactual sample:	 {x0 : 2.089410226639324, x1 : -2.736350806287434, y: True} (verified)
Minimum counterfactual distance: 0.166824
