

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


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 0.181370 in range [0.000000, 0.362740]...	no solution exists.
	Iteration #003: testing norm threshold 0.272055 in range [0.181370, 0.362740]...	solution exists & found.
	Iteration #004: testing norm threshold 0.221820 in range [0.181370, 0.262270]...	solution exists & found.
	Iteration #005: testing norm threshold 0.201595 in range [0.181370, 0.221820]...	no solution exists.
	Iteration #006: testing norm threshold 0.211707 in range [0.201595, 0.221820]...	no solution exists.
	Iteration #007: testing norm threshold 0.216764 in range [0.211707, 0.221820]...	solution exists & found.
	Iteration #008: testing norm threshold 0.214236 in range [0.211707, 0.216764]...	solution exists & found.
	Iteration #009: testing norm threshold 0.212972 in range [0.211707, 0.214236]...	solution exists & found.
	Iteration #010: testing norm threshold 0.212340 in range [0.211707, 0.212972]...	no solution exists.
	Iteration #011: testing norm threshold 0.212656 in range [0.212340, 0.212972]...	solution exists & found.
	Iteration #012: testing norm threshold 0.212498 in range [0.212340, 0.212656]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212419 in range [0.212340, 0.212498]...	solution exists & found.
	Iteration #014: testing norm threshold 0.212379 in range [0.212340, 0.212419]...	solution exists & found.
	Iteration #015: testing norm threshold 0.212359 in range [0.212340, 0.212379]...	solution exists & found.
	Iteration #016: testing norm threshold 0.212350 in range [0.212340, 0.212360]...	solution exists & found.
	Iteration #017: testing norm threshold 0.212345 in range [0.212340, 0.212350]...	no solution exists.


Factual sample: 		 {x0 : -2.783500256338053, x1 : -3.254878324426816, y: False}
Nearest counterfactual sample:	 {x0 : 2.405148799527188, x1 : -3.2549254770377605, y: True} (verified)
Minimum counterfactual distance: 0.212350
