

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


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 0.184829 in range [0.000000, 0.369658]...	no solution exists.
	Iteration #003: testing norm threshold 0.277244 in range [0.184829, 0.369658]...	solution exists & found.
	Iteration #004: testing norm threshold 0.207168 in range [0.184829, 0.229507]...	no solution exists.
	Iteration #005: testing norm threshold 0.218337 in range [0.207168, 0.229507]...	solution exists & found.
	Iteration #006: testing norm threshold 0.212753 in range [0.207168, 0.218337]...	no solution exists.
	Iteration #007: testing norm threshold 0.215545 in range [0.212753, 0.218337]...	no solution exists.
	Iteration #008: testing norm threshold 0.216941 in range [0.215545, 0.218337]...	no solution exists.
	Iteration #009: testing norm threshold 0.217639 in range [0.216941, 0.218337]...	solution exists & found.
	Iteration #010: testing norm threshold 0.217290 in range [0.216941, 0.217639]...	no solution exists.
	Iteration #011: testing norm threshold 0.217465 in range [0.217290, 0.217639]...	solution exists & found.
	Iteration #012: testing norm threshold 0.217378 in range [0.217290, 0.217465]...	solution exists & found.
	Iteration #013: testing norm threshold 0.217334 in range [0.217290, 0.217378]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217312 in range [0.217290, 0.217334]...	solution exists & found.
	Iteration #015: testing norm threshold 0.217301 in range [0.217290, 0.217312]...	solution exists & found.
	Iteration #016: testing norm threshold 0.217296 in range [0.217290, 0.217301]...	no solution exists.


Factual sample: 		 {x0 : -2.614711549289911, x1 : -3.631755535894423, y: False}
Nearest counterfactual sample:	 {x0 : 2.6948159582032423, x1 : -3.6316025010292976, y: True} (verified)
Minimum counterfactual distance: 0.217301
