

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


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 0.167415 in range [0.000000, 0.334830]...	no solution exists.
	Iteration #003: testing norm threshold 0.251123 in range [0.167415, 0.334830]...	solution exists & found.
	Iteration #004: testing norm threshold 0.209269 in range [0.167415, 0.251123]...	solution exists & found.
	Iteration #005: testing norm threshold 0.188342 in range [0.167415, 0.209269]...	no solution exists.
	Iteration #006: testing norm threshold 0.198806 in range [0.188342, 0.209269]...	solution exists & found.
	Iteration #007: testing norm threshold 0.193574 in range [0.188342, 0.198806]...	solution exists & found.
	Iteration #008: testing norm threshold 0.190958 in range [0.188342, 0.193574]...	no solution exists.
	Iteration #009: testing norm threshold 0.192266 in range [0.190958, 0.193574]...	no solution exists.
	Iteration #010: testing norm threshold 0.192920 in range [0.192266, 0.193574]...	solution exists & found.
	Iteration #011: testing norm threshold 0.192593 in range [0.192266, 0.192920]...	solution exists & found.
	Iteration #012: testing norm threshold 0.192430 in range [0.192266, 0.192593]...	solution exists & found.
	Iteration #013: testing norm threshold 0.192348 in range [0.192266, 0.192430]...	no solution exists.
	Iteration #014: testing norm threshold 0.192389 in range [0.192348, 0.192430]...	solution exists & found.
	Iteration #015: testing norm threshold 0.192368 in range [0.192348, 0.192389]...	solution exists & found.
	Iteration #016: testing norm threshold 0.192358 in range [0.192348, 0.192368]...	no solution exists.
	Iteration #017: testing norm threshold 0.192363 in range [0.192358, 0.192368]...	no solution exists.


Factual sample: 		 {x0 : -2.674955742993338, x1 : -2.761180376993378, y: False}
Nearest counterfactual sample:	 {x0 : 2.0254832404464755, x1 : -2.7612034555092144, y: True} (verified)
Minimum counterfactual distance: 0.192368
