

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.204387 in range [0.000000, 0.408774]...	no solution exists.
	Iteration #003: testing norm threshold 0.306581 in range [0.204387, 0.408774]...	solution exists & found.
	Iteration #004: testing norm threshold 0.240442 in range [0.204387, 0.276496]...	no solution exists.
	Iteration #005: testing norm threshold 0.258469 in range [0.240442, 0.276496]...	no solution exists.
	Iteration #006: testing norm threshold 0.267483 in range [0.258469, 0.276496]...	solution exists & found.
	Iteration #007: testing norm threshold 0.262976 in range [0.258469, 0.267483]...	no solution exists.
	Iteration #008: testing norm threshold 0.265229 in range [0.262976, 0.267483]...	solution exists & found.
	Iteration #009: testing norm threshold 0.264103 in range [0.262976, 0.265230]...	no solution exists.
	Iteration #010: testing norm threshold 0.264666 in range [0.264103, 0.265230]...	solution exists & found.
	Iteration #011: testing norm threshold 0.264385 in range [0.264103, 0.264666]...	solution exists & found.
	Iteration #012: testing norm threshold 0.264244 in range [0.264103, 0.264385]...	no solution exists.
	Iteration #013: testing norm threshold 0.264314 in range [0.264244, 0.264385]...	solution exists & found.
	Iteration #014: testing norm threshold 0.264279 in range [0.264244, 0.264314]...	no solution exists.
	Iteration #015: testing norm threshold 0.264297 in range [0.264279, 0.264314]...	solution exists & found.
	Iteration #016: testing norm threshold 0.264288 in range [0.264279, 0.264297]...	solution exists & found.


Factual sample: 		 {x0 : -4.056433469183927, x1 : -3.250019045666299, y: False}
Nearest counterfactual sample:	 {x0 : 2.401337003136272, x1 : -3.2499956992811123, y: True} (verified)
Minimum counterfactual distance: 0.264288
