

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


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 0.156846 in range [0.000000, 0.313692]...	no solution exists.
	Iteration #003: testing norm threshold 0.235269 in range [0.156846, 0.313692]...	solution exists & found.
	Iteration #004: testing norm threshold 0.196057 in range [0.156846, 0.235269]...	no solution exists.
	Iteration #005: testing norm threshold 0.215663 in range [0.196057, 0.235269]...	solution exists & found.
	Iteration #006: testing norm threshold 0.205860 in range [0.196057, 0.215663]...	no solution exists.
	Iteration #007: testing norm threshold 0.210762 in range [0.205860, 0.215663]...	no solution exists.
	Iteration #008: testing norm threshold 0.213212 in range [0.210762, 0.215663]...	solution exists & found.
	Iteration #009: testing norm threshold 0.211987 in range [0.210762, 0.213213]...	no solution exists.
	Iteration #010: testing norm threshold 0.212600 in range [0.211987, 0.213213]...	solution exists & found.
	Iteration #011: testing norm threshold 0.212294 in range [0.211987, 0.212600]...	no solution exists.
	Iteration #012: testing norm threshold 0.212447 in range [0.212294, 0.212600]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212370 in range [0.212294, 0.212447]...	solution exists & found.
	Iteration #014: testing norm threshold 0.212332 in range [0.212294, 0.212370]...	no solution exists.
	Iteration #015: testing norm threshold 0.212351 in range [0.212332, 0.212370]...	solution exists & found.
	Iteration #016: testing norm threshold 0.212342 in range [0.212332, 0.212351]...	no solution exists.


Factual sample: 		 {x0 : -2.783500256338053, x1 : -3.254878324426816, y: False}
Nearest counterfactual sample:	 {x0 : 2.4052357791808534, x1 : -3.254878324426816, y: True} (verified)
Minimum counterfactual distance: 0.212351
