

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


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 0.094644 in range [0.000000, 0.189288]...	no solution exists.
	Iteration #003: testing norm threshold 0.141966 in range [0.094644, 0.189288]...	no solution exists.
	Iteration #004: testing norm threshold 0.165627 in range [0.141966, 0.189288]...	no solution exists.
	Iteration #005: testing norm threshold 0.177458 in range [0.165627, 0.189288]...	solution exists & found.
	Iteration #006: testing norm threshold 0.171543 in range [0.165627, 0.177458]...	no solution exists.
	Iteration #007: testing norm threshold 0.174500 in range [0.171543, 0.177458]...	no solution exists.
	Iteration #008: testing norm threshold 0.175979 in range [0.174500, 0.177458]...	no solution exists.
	Iteration #009: testing norm threshold 0.176719 in range [0.175979, 0.177458]...	no solution exists.
	Iteration #010: testing norm threshold 0.177088 in range [0.176719, 0.177458]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176903 in range [0.176719, 0.177088]...	no solution exists.
	Iteration #012: testing norm threshold 0.176996 in range [0.176903, 0.177088]...	no solution exists.
	Iteration #013: testing norm threshold 0.177042 in range [0.176996, 0.177088]...	no solution exists.
	Iteration #014: testing norm threshold 0.177065 in range [0.177042, 0.177088]...	no solution exists.
	Iteration #015: testing norm threshold 0.177077 in range [0.177065, 0.177088]...	no solution exists.
	Iteration #016: testing norm threshold 0.177083 in range [0.177077, 0.177088]...	solution exists & found.


Factual sample: 		 {x0 : -2.92955941320506, x1 : -1.9443171517936029, y: False}
Nearest counterfactual sample:	 {x0 : 1.397256116509169, x1 : -1.9441821619186361, y: True} (verified)
Minimum counterfactual distance: 0.177083
