

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


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 0.168257 in range [0.000000, 0.336514]...	no solution exists.
	Iteration #003: testing norm threshold 0.252385 in range [0.168257, 0.336514]...	solution exists & found.
	Iteration #004: testing norm threshold 0.210321 in range [0.168257, 0.252386]...	no solution exists.
	Iteration #005: testing norm threshold 0.231353 in range [0.210321, 0.252386]...	no solution exists.
	Iteration #006: testing norm threshold 0.241870 in range [0.231353, 0.252386]...	solution exists & found.
	Iteration #007: testing norm threshold 0.236612 in range [0.231353, 0.241870]...	no solution exists.
	Iteration #008: testing norm threshold 0.239241 in range [0.236612, 0.241870]...	no solution exists.
	Iteration #009: testing norm threshold 0.240555 in range [0.239241, 0.241870]...	no solution exists.
	Iteration #010: testing norm threshold 0.241212 in range [0.240555, 0.241870]...	solution exists & found.
	Iteration #011: testing norm threshold 0.240884 in range [0.240555, 0.241212]...	no solution exists.
	Iteration #012: testing norm threshold 0.241048 in range [0.240884, 0.241212]...	solution exists & found.
	Iteration #013: testing norm threshold 0.240966 in range [0.240884, 0.241048]...	solution exists & found.
	Iteration #014: testing norm threshold 0.240925 in range [0.240884, 0.240966]...	solution exists & found.
	Iteration #015: testing norm threshold 0.240904 in range [0.240884, 0.240925]...	no solution exists.
	Iteration #016: testing norm threshold 0.240915 in range [0.240904, 0.240925]...	no solution exists.
	Iteration #017: testing norm threshold 0.240920 in range [0.240915, 0.240925]...	no solution exists.


Factual sample: 		 {x0 : -3.9468137786237873, x1 : -2.551670338122673, y: False}
Nearest counterfactual sample:	 {x0 : 1.9399629832585585, x1 : -2.5515278218164146, y: True} (verified)
Minimum counterfactual distance: 0.240925
