

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


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 0.172475 in range [0.000000, 0.344949]...	no solution exists.
	Iteration #003: testing norm threshold 0.258712 in range [0.172475, 0.344949]...	no solution exists.
	Iteration #004: testing norm threshold 0.301831 in range [0.258712, 0.344949]...	solution exists & found.
	Iteration #005: testing norm threshold 0.269059 in range [0.258712, 0.279407]...	solution exists & found.
	Iteration #006: testing norm threshold 0.263886 in range [0.258712, 0.269059]...	no solution exists.
	Iteration #007: testing norm threshold 0.266473 in range [0.263886, 0.269059]...	no solution exists.
	Iteration #008: testing norm threshold 0.267766 in range [0.266473, 0.269059]...	solution exists & found.
	Iteration #009: testing norm threshold 0.267119 in range [0.266473, 0.267766]...	solution exists & found.
	Iteration #010: testing norm threshold 0.266796 in range [0.266473, 0.267119]...	solution exists & found.
	Iteration #011: testing norm threshold 0.266634 in range [0.266473, 0.266796]...	solution exists & found.
	Iteration #012: testing norm threshold 0.266554 in range [0.266473, 0.266634]...	solution exists & found.
	Iteration #013: testing norm threshold 0.266513 in range [0.266473, 0.266554]...	solution exists & found.
	Iteration #014: testing norm threshold 0.266493 in range [0.266473, 0.266513]...	solution exists & found.
	Iteration #015: testing norm threshold 0.266483 in range [0.266473, 0.266493]...	solution exists & found.
	Iteration #016: testing norm threshold 0.266478 in range [0.266473, 0.266483]...	no solution exists.


Factual sample: 		 {x0 : -4.235601130333582, x1 : -2.4805392562903177, y: False}
Nearest counterfactual sample:	 {x0 : 2.116933678573124, x1 : -2.4805392562903177, y: True} (verified)
Minimum counterfactual distance: 0.266483
