

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


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 0.128211 in range [0.000000, 0.256421]...	no solution exists.
	Iteration #003: testing norm threshold 0.192316 in range [0.128211, 0.256421]...	no solution exists.
	Iteration #004: testing norm threshold 0.224369 in range [0.192316, 0.256421]...	solution exists & found.
	Iteration #005: testing norm threshold 0.208342 in range [0.192316, 0.224369]...	solution exists & found.
	Iteration #006: testing norm threshold 0.200329 in range [0.192316, 0.208342]...	no solution exists.
	Iteration #007: testing norm threshold 0.204336 in range [0.200329, 0.208342]...	no solution exists.
	Iteration #008: testing norm threshold 0.206339 in range [0.204336, 0.208342]...	no solution exists.
	Iteration #009: testing norm threshold 0.207341 in range [0.206339, 0.208342]...	solution exists & found.
	Iteration #010: testing norm threshold 0.206840 in range [0.206339, 0.207341]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206590 in range [0.206339, 0.206840]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206464 in range [0.206339, 0.206590]...	no solution exists.
	Iteration #013: testing norm threshold 0.206527 in range [0.206464, 0.206590]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206496 in range [0.206464, 0.206527]...	no solution exists.
	Iteration #015: testing norm threshold 0.206511 in range [0.206496, 0.206527]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206504 in range [0.206496, 0.206512]...	solution exists & found.


Factual sample: 		 {x0 : -2.123303283569401, x1 : -3.927587564944067, y: False}
Nearest counterfactual sample:	 {x0 : 2.922229411179079, x1 : -3.927286226472219, y: True} (verified)
Minimum counterfactual distance: 0.206504
