

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


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 0.125478 in range [0.000000, 0.250956]...	no solution exists.
	Iteration #003: testing norm threshold 0.188217 in range [0.125478, 0.250956]...	no solution exists.
	Iteration #004: testing norm threshold 0.219586 in range [0.188217, 0.250956]...	solution exists & found.
	Iteration #005: testing norm threshold 0.203902 in range [0.188217, 0.219586]...	solution exists & found.
	Iteration #006: testing norm threshold 0.196059 in range [0.188217, 0.203902]...	solution exists & found.
	Iteration #007: testing norm threshold 0.192138 in range [0.188217, 0.196059]...	solution exists & found.
	Iteration #008: testing norm threshold 0.190178 in range [0.188217, 0.192138]...	no solution exists.
	Iteration #009: testing norm threshold 0.191158 in range [0.190178, 0.192138]...	solution exists & found.
	Iteration #010: testing norm threshold 0.190668 in range [0.190178, 0.191158]...	solution exists & found.
	Iteration #011: testing norm threshold 0.190423 in range [0.190178, 0.190668]...	solution exists & found.
	Iteration #012: testing norm threshold 0.190300 in range [0.190178, 0.190423]...	no solution exists.
	Iteration #013: testing norm threshold 0.190361 in range [0.190300, 0.190423]...	solution exists & found.
	Iteration #014: testing norm threshold 0.190331 in range [0.190300, 0.190362]...	no solution exists.
	Iteration #015: testing norm threshold 0.190346 in range [0.190331, 0.190362]...	no solution exists.
	Iteration #016: testing norm threshold 0.190354 in range [0.190346, 0.190362]...	solution exists & found.


Factual sample: 		 {x0 : -3.1529764686309565, x1 : -1.595453863032217, y: False}
Nearest counterfactual sample:	 {x0 : 1.3847636419605254, x1 : -1.595453863032217, y: True} (verified)
Minimum counterfactual distance: 0.190354
