

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


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 0.205833 in range [0.000000, 0.411667]...	no solution exists.
	Iteration #003: testing norm threshold 0.308750 in range [0.205833, 0.411667]...	solution exists & found.
	Iteration #004: testing norm threshold 0.251564 in range [0.205833, 0.297294]...	solution exists & found.
	Iteration #005: testing norm threshold 0.228699 in range [0.205833, 0.251564]...	no solution exists.
	Iteration #006: testing norm threshold 0.240131 in range [0.228699, 0.251564]...	no solution exists.
	Iteration #007: testing norm threshold 0.245848 in range [0.240131, 0.251564]...	no solution exists.
	Iteration #008: testing norm threshold 0.248706 in range [0.245848, 0.251564]...	solution exists & found.
	Iteration #009: testing norm threshold 0.247277 in range [0.245848, 0.248706]...	no solution exists.
	Iteration #010: testing norm threshold 0.247991 in range [0.247277, 0.248706]...	solution exists & found.
	Iteration #011: testing norm threshold 0.247634 in range [0.247277, 0.247991]...	solution exists & found.
	Iteration #012: testing norm threshold 0.247455 in range [0.247277, 0.247634]...	solution exists & found.
	Iteration #013: testing norm threshold 0.247366 in range [0.247277, 0.247456]...	no solution exists.
	Iteration #014: testing norm threshold 0.247411 in range [0.247366, 0.247456]...	solution exists & found.
	Iteration #015: testing norm threshold 0.247389 in range [0.247366, 0.247411]...	solution exists & found.
	Iteration #016: testing norm threshold 0.247377 in range [0.247366, 0.247389]...	solution exists & found.
	Iteration #017: testing norm threshold 0.247372 in range [0.247366, 0.247378]...	solution exists & found.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.659348686401872, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.247372
