

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


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 0.121590 in range [0.000000, 0.243181]...	no solution exists.
	Iteration #003: testing norm threshold 0.182386 in range [0.121590, 0.243181]...	no solution exists.
	Iteration #004: testing norm threshold 0.212783 in range [0.182386, 0.243181]...	solution exists & found.
	Iteration #005: testing norm threshold 0.197584 in range [0.182386, 0.212783]...	no solution exists.
	Iteration #006: testing norm threshold 0.205184 in range [0.197584, 0.212783]...	no solution exists.
	Iteration #007: testing norm threshold 0.208984 in range [0.205184, 0.212783]...	solution exists & found.
	Iteration #008: testing norm threshold 0.207084 in range [0.205184, 0.208984]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206134 in range [0.205184, 0.207084]...	no solution exists.
	Iteration #010: testing norm threshold 0.206609 in range [0.206134, 0.207084]...	solution exists & found.
	Iteration #011: testing norm threshold 0.206371 in range [0.206134, 0.206609]...	solution exists & found.
	Iteration #012: testing norm threshold 0.206253 in range [0.206134, 0.206372]...	no solution exists.
	Iteration #013: testing norm threshold 0.206312 in range [0.206253, 0.206372]...	no solution exists.
	Iteration #014: testing norm threshold 0.206342 in range [0.206312, 0.206372]...	solution exists & found.
	Iteration #015: testing norm threshold 0.206327 in range [0.206312, 0.206342]...	solution exists & found.
	Iteration #016: testing norm threshold 0.206320 in range [0.206312, 0.206327]...	no solution exists.


Factual sample: 		 {x0 : -2.1094378742480075, x1 : -3.0089894257722003, y: False}
Nearest counterfactual sample:	 {x0 : 3.169662324277858, x1 : -3.008378510050208, y: True} (verified)
Minimum counterfactual distance: 0.206327
