

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


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 0.089636 in range [0.000000, 0.179272]...	no solution exists.
	Iteration #003: testing norm threshold 0.134454 in range [0.089636, 0.179272]...	no solution exists.
	Iteration #004: testing norm threshold 0.156863 in range [0.134454, 0.179272]...	no solution exists.
	Iteration #005: testing norm threshold 0.168068 in range [0.156863, 0.179272]...	solution exists & found.
	Iteration #006: testing norm threshold 0.162466 in range [0.156863, 0.168068]...	no solution exists.
	Iteration #007: testing norm threshold 0.165267 in range [0.162466, 0.168068]...	no solution exists.
	Iteration #008: testing norm threshold 0.166667 in range [0.165267, 0.168068]...	solution exists & found.
	Iteration #009: testing norm threshold 0.165967 in range [0.165267, 0.166667]...	solution exists & found.
	Iteration #010: testing norm threshold 0.165617 in range [0.165267, 0.165967]...	no solution exists.
	Iteration #011: testing norm threshold 0.165792 in range [0.165617, 0.165967]...	no solution exists.
	Iteration #012: testing norm threshold 0.165880 in range [0.165792, 0.165967]...	no solution exists.
	Iteration #013: testing norm threshold 0.165923 in range [0.165880, 0.165967]...	solution exists & found.
	Iteration #014: testing norm threshold 0.165902 in range [0.165880, 0.165924]...	solution exists & found.
	Iteration #015: testing norm threshold 0.165891 in range [0.165880, 0.165902]...	no solution exists.
	Iteration #016: testing norm threshold 0.165896 in range [0.165891, 0.165902]...	no solution exists.


Factual sample: 		 {x0 : -3.1945118728522104, x1 : -0.9276427557110014, y: False}
Nearest counterfactual sample:	 {x0 : 1.0506412528288036, x1 : -0.9274885823902884, y: True} (verified)
Minimum counterfactual distance: 0.165902
