

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


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 0.131660 in range [0.000000, 0.263320]...	no solution exists.
	Iteration #003: testing norm threshold 0.197490 in range [0.131660, 0.263320]...	no solution exists.
	Iteration #004: testing norm threshold 0.230405 in range [0.197490, 0.263320]...	no solution exists.
	Iteration #005: testing norm threshold 0.246862 in range [0.230405, 0.263320]...	no solution exists.
	Iteration #006: testing norm threshold 0.255091 in range [0.246862, 0.263320]...	solution exists & found.
	Iteration #007: testing norm threshold 0.250977 in range [0.246862, 0.255091]...	no solution exists.
	Iteration #008: testing norm threshold 0.253034 in range [0.250977, 0.255091]...	solution exists & found.
	Iteration #009: testing norm threshold 0.252005 in range [0.250977, 0.253034]...	solution exists & found.
	Iteration #010: testing norm threshold 0.251491 in range [0.250977, 0.252005]...	solution exists & found.
	Iteration #011: testing norm threshold 0.251234 in range [0.250977, 0.251491]...	solution exists & found.
	Iteration #012: testing norm threshold 0.251105 in range [0.250977, 0.251234]...	no solution exists.
	Iteration #013: testing norm threshold 0.251170 in range [0.251105, 0.251234]...	solution exists & found.
	Iteration #014: testing norm threshold 0.251138 in range [0.251105, 0.251170]...	solution exists & found.
	Iteration #015: testing norm threshold 0.251121 in range [0.251105, 0.251138]...	solution exists & found.
	Iteration #016: testing norm threshold 0.251113 in range [0.251105, 0.251122]...	solution exists & found.


Factual sample: 		 {x0 : -3.389000830513851, x1 : -3.699280001612841, y: False}
Nearest counterfactual sample:	 {x0 : 2.7467561585866895, x1 : -3.699163117494615, y: True} (verified)
Minimum counterfactual distance: 0.251113
