

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


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 0.144571 in range [0.000000, 0.289142]...	no solution exists.
	Iteration #003: testing norm threshold 0.216857 in range [0.144571, 0.289142]...	no solution exists.
	Iteration #004: testing norm threshold 0.252999 in range [0.216857, 0.289142]...	solution exists & found.
	Iteration #005: testing norm threshold 0.225530 in range [0.216857, 0.234203]...	solution exists & found.
	Iteration #006: testing norm threshold 0.221193 in range [0.216857, 0.225530]...	no solution exists.
	Iteration #007: testing norm threshold 0.223362 in range [0.221193, 0.225530]...	solution exists & found.
	Iteration #008: testing norm threshold 0.222278 in range [0.221193, 0.223362]...	solution exists & found.
	Iteration #009: testing norm threshold 0.221736 in range [0.221193, 0.222278]...	solution exists & found.
	Iteration #010: testing norm threshold 0.221464 in range [0.221193, 0.221736]...	solution exists & found.
	Iteration #011: testing norm threshold 0.221329 in range [0.221193, 0.221465]...	solution exists & found.
	Iteration #012: testing norm threshold 0.221261 in range [0.221193, 0.221329]...	no solution exists.
	Iteration #013: testing norm threshold 0.221295 in range [0.221261, 0.221329]...	solution exists & found.
	Iteration #014: testing norm threshold 0.221278 in range [0.221261, 0.221295]...	no solution exists.
	Iteration #015: testing norm threshold 0.221287 in range [0.221278, 0.221295]...	solution exists & found.


Factual sample: 		 {x0 : -3.0630415548514534, x1 : -2.5953374082087457, y: False}
Nearest counterfactual sample:	 {x0 : 2.2116032399595764, x1 : -2.594861031355278, y: True} (verified)
Minimum counterfactual distance: 0.221287
