

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


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 0.207756 in range [0.000000, 0.415512]...	no solution exists.
	Iteration #003: testing norm threshold 0.311634 in range [0.207756, 0.415512]...	solution exists & found.
	Iteration #004: testing norm threshold 0.259695 in range [0.207756, 0.311634]...	no solution exists.
	Iteration #005: testing norm threshold 0.285665 in range [0.259695, 0.311634]...	no solution exists.
	Iteration #006: testing norm threshold 0.298649 in range [0.285665, 0.311634]...	solution exists & found.
	Iteration #007: testing norm threshold 0.292157 in range [0.285665, 0.298649]...	solution exists & found.
	Iteration #008: testing norm threshold 0.288911 in range [0.285665, 0.292157]...	no solution exists.
	Iteration #009: testing norm threshold 0.290534 in range [0.288911, 0.292157]...	solution exists & found.
	Iteration #010: testing norm threshold 0.289722 in range [0.288911, 0.290534]...	no solution exists.
	Iteration #011: testing norm threshold 0.290128 in range [0.289722, 0.290534]...	no solution exists.
	Iteration #012: testing norm threshold 0.290331 in range [0.290128, 0.290534]...	no solution exists.
	Iteration #013: testing norm threshold 0.290433 in range [0.290331, 0.290534]...	no solution exists.
	Iteration #014: testing norm threshold 0.290483 in range [0.290433, 0.290534]...	solution exists & found.
	Iteration #015: testing norm threshold 0.290458 in range [0.290433, 0.290483]...	no solution exists.
	Iteration #016: testing norm threshold 0.290471 in range [0.290458, 0.290483]...	no solution exists.
	Iteration #017: testing norm threshold 0.290477 in range [0.290471, 0.290483]...	no solution exists.


Factual sample: 		 {x0 : -4.687229572584936, x1 : -3.2619690131459818, y: False}
Nearest counterfactual sample:	 {x0 : 2.4104541578546703, x1 : -3.261790699255949, y: True} (verified)
Minimum counterfactual distance: 0.290483
