

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


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 0.099808 in range [0.000000, 0.199616]...	no solution exists.
	Iteration #003: testing norm threshold 0.149712 in range [0.099808, 0.199616]...	no solution exists.
	Iteration #004: testing norm threshold 0.174664 in range [0.149712, 0.199616]...	no solution exists.
	Iteration #005: testing norm threshold 0.187140 in range [0.174664, 0.199616]...	no solution exists.
	Iteration #006: testing norm threshold 0.193378 in range [0.187140, 0.199616]...	solution exists & found.
	Iteration #007: testing norm threshold 0.190259 in range [0.187140, 0.193378]...	solution exists & found.
	Iteration #008: testing norm threshold 0.188699 in range [0.187140, 0.190259]...	solution exists & found.
	Iteration #009: testing norm threshold 0.187920 in range [0.187140, 0.188699]...	solution exists & found.
	Iteration #010: testing norm threshold 0.187530 in range [0.187140, 0.187920]...	solution exists & found.
	Iteration #011: testing norm threshold 0.187335 in range [0.187140, 0.187530]...	no solution exists.
	Iteration #012: testing norm threshold 0.187432 in range [0.187335, 0.187530]...	solution exists & found.
	Iteration #013: testing norm threshold 0.187384 in range [0.187335, 0.187432]...	no solution exists.
	Iteration #014: testing norm threshold 0.187408 in range [0.187384, 0.187432]...	solution exists & found.
	Iteration #015: testing norm threshold 0.187396 in range [0.187384, 0.187408]...	no solution exists.
	Iteration #016: testing norm threshold 0.187402 in range [0.187396, 0.187408]...	no solution exists.


Factual sample: 		 {x0 : -2.702464624902195, x1 : -2.5678088008344093, y: False}
Nearest counterfactual sample:	 {x0 : 1.8767303011272367, x1 : -2.5677507453282535, y: True} (verified)
Minimum counterfactual distance: 0.187408
