

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.152233 in range [0.000000, 0.304466]...	no solution exists.
	Iteration #003: testing norm threshold 0.228350 in range [0.152233, 0.304466]...	no solution exists.
	Iteration #004: testing norm threshold 0.266408 in range [0.228350, 0.304466]...	no solution exists.
	Iteration #005: testing norm threshold 0.285437 in range [0.266408, 0.304466]...	no solution exists.
	Iteration #006: testing norm threshold 0.294952 in range [0.285437, 0.304466]...	solution exists & found.
	Iteration #007: testing norm threshold 0.290194 in range [0.285437, 0.294952]...	no solution exists.
	Iteration #008: testing norm threshold 0.292573 in range [0.290194, 0.294952]...	solution exists & found.
	Iteration #009: testing norm threshold 0.291384 in range [0.290194, 0.292573]...	solution exists & found.
	Iteration #010: testing norm threshold 0.290789 in range [0.290194, 0.291384]...	no solution exists.
	Iteration #011: testing norm threshold 0.291086 in range [0.290789, 0.291384]...	no solution exists.
	Iteration #012: testing norm threshold 0.291235 in range [0.291086, 0.291384]...	solution exists & found.
	Iteration #013: testing norm threshold 0.291161 in range [0.291086, 0.291235]...	solution exists & found.
	Iteration #014: testing norm threshold 0.291124 in range [0.291086, 0.291161]...	solution exists & found.
	Iteration #015: testing norm threshold 0.291105 in range [0.291086, 0.291124]...	solution exists & found.
	Iteration #016: testing norm threshold 0.291096 in range [0.291086, 0.291105]...	solution exists & found.


Factual sample: 		 {x0 : -3.755342050144318, x1 : -3.5229511723094853, y: False}
Nearest counterfactual sample:	 {x0 : 3.693630755810491, x1 : -3.5229511723094853, y: True} (verified)
Minimum counterfactual distance: 0.291096
