

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


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 0.186069 in range [0.000000, 0.372137]...	no solution exists.
	Iteration #003: testing norm threshold 0.279103 in range [0.186069, 0.372137]...	solution exists & found.
	Iteration #004: testing norm threshold 0.232586 in range [0.186069, 0.279103]...	solution exists & found.
	Iteration #005: testing norm threshold 0.209327 in range [0.186069, 0.232586]...	no solution exists.
	Iteration #006: testing norm threshold 0.220957 in range [0.209327, 0.232586]...	no solution exists.
	Iteration #007: testing norm threshold 0.226771 in range [0.220957, 0.232586]...	no solution exists.
	Iteration #008: testing norm threshold 0.229679 in range [0.226771, 0.232586]...	no solution exists.
	Iteration #009: testing norm threshold 0.231132 in range [0.229679, 0.232586]...	no solution exists.
	Iteration #010: testing norm threshold 0.231859 in range [0.231132, 0.232586]...	no solution exists.
	Iteration #011: testing norm threshold 0.232223 in range [0.231859, 0.232586]...	solution exists & found.
	Iteration #012: testing norm threshold 0.232041 in range [0.231859, 0.232223]...	solution exists & found.
	Iteration #013: testing norm threshold 0.231950 in range [0.231859, 0.232041]...	solution exists & found.
	Iteration #014: testing norm threshold 0.231905 in range [0.231859, 0.231950]...	solution exists & found.
	Iteration #015: testing norm threshold 0.231882 in range [0.231859, 0.231905]...	solution exists & found.
	Iteration #016: testing norm threshold 0.231871 in range [0.231859, 0.231882]...	no solution exists.
	Iteration #017: testing norm threshold 0.231876 in range [0.231871, 0.231882]...	solution exists & found.


Factual sample: 		 {x0 : -3.233886157400281, x1 : -3.159834572101747, y: False}
Nearest counterfactual sample:	 {x0 : 2.4317396230541655, x1 : -3.1596452181101458, y: True} (verified)
Minimum counterfactual distance: 0.231876
