

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


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 0.186942 in range [0.000000, 0.373883]...	no solution exists.
	Iteration #003: testing norm threshold 0.280413 in range [0.186942, 0.373883]...	solution exists & found.
	Iteration #004: testing norm threshold 0.233677 in range [0.186942, 0.280413]...	solution exists & found.
	Iteration #005: testing norm threshold 0.210310 in range [0.186942, 0.233677]...	no solution exists.
	Iteration #006: testing norm threshold 0.221993 in range [0.210310, 0.233677]...	solution exists & found.
	Iteration #007: testing norm threshold 0.216152 in range [0.210310, 0.221994]...	no solution exists.
	Iteration #008: testing norm threshold 0.219073 in range [0.216152, 0.221994]...	no solution exists.
	Iteration #009: testing norm threshold 0.220533 in range [0.219073, 0.221994]...	solution exists & found.
	Iteration #010: testing norm threshold 0.219803 in range [0.219073, 0.220533]...	no solution exists.
	Iteration #011: testing norm threshold 0.220168 in range [0.219803, 0.220533]...	no solution exists.
	Iteration #012: testing norm threshold 0.220351 in range [0.220168, 0.220533]...	solution exists & found.
	Iteration #013: testing norm threshold 0.220259 in range [0.220168, 0.220351]...	no solution exists.
	Iteration #014: testing norm threshold 0.220305 in range [0.220259, 0.220351]...	no solution exists.
	Iteration #015: testing norm threshold 0.220328 in range [0.220305, 0.220351]...	solution exists & found.
	Iteration #016: testing norm threshold 0.220316 in range [0.220305, 0.220328]...	no solution exists.
	Iteration #017: testing norm threshold 0.220322 in range [0.220316, 0.220328]...	solution exists & found.


Factual sample: 		 {x0 : -3.502885906152688, x1 : -2.5728294878898903, y: False}
Nearest counterfactual sample:	 {x0 : 1.8806198909263667, x1 : -2.572830933463853, y: True} (verified)
Minimum counterfactual distance: 0.220322
