

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.114344 in range [0.000000, 0.228688]...	no solution exists.
	Iteration #003: testing norm threshold 0.171516 in range [0.114344, 0.228688]...	no solution exists.
	Iteration #004: testing norm threshold 0.200102 in range [0.171516, 0.228688]...	no solution exists.
	Iteration #005: testing norm threshold 0.214395 in range [0.200102, 0.228688]...	no solution exists.
	Iteration #006: testing norm threshold 0.221542 in range [0.214395, 0.228688]...	solution exists & found.
	Iteration #007: testing norm threshold 0.217968 in range [0.214395, 0.221542]...	solution exists & found.
	Iteration #008: testing norm threshold 0.216182 in range [0.214395, 0.217969]...	solution exists & found.
	Iteration #009: testing norm threshold 0.215289 in range [0.214395, 0.216182]...	no solution exists.
	Iteration #010: testing norm threshold 0.215735 in range [0.215289, 0.216182]...	no solution exists.
	Iteration #011: testing norm threshold 0.215959 in range [0.215735, 0.216182]...	solution exists & found.
	Iteration #012: testing norm threshold 0.215847 in range [0.215735, 0.215959]...	solution exists & found.
	Iteration #013: testing norm threshold 0.215791 in range [0.215735, 0.215847]...	solution exists & found.
	Iteration #014: testing norm threshold 0.215763 in range [0.215735, 0.215791]...	no solution exists.
	Iteration #015: testing norm threshold 0.215777 in range [0.215763, 0.215791]...	solution exists & found.
	Iteration #016: testing norm threshold 0.215770 in range [0.215763, 0.215777]...	solution exists & found.


Factual sample: 		 {x0 : -3.256184092110439, x1 : -2.202992045165238, y: False}
Nearest counterfactual sample:	 {x0 : 1.8870352969371702, x1 : -2.202590930332892, y: True} (verified)
Minimum counterfactual distance: 0.215770
