

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


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 0.134230 in range [0.000000, 0.268460]...	no solution exists.
	Iteration #003: testing norm threshold 0.201345 in range [0.134230, 0.268460]...	no solution exists.
	Iteration #004: testing norm threshold 0.234902 in range [0.201345, 0.268460]...	solution exists & found.
	Iteration #005: testing norm threshold 0.218123 in range [0.201345, 0.234902]...	no solution exists.
	Iteration #006: testing norm threshold 0.226513 in range [0.218123, 0.234902]...	no solution exists.
	Iteration #007: testing norm threshold 0.230708 in range [0.226513, 0.234902]...	solution exists & found.
	Iteration #008: testing norm threshold 0.228610 in range [0.226513, 0.230708]...	no solution exists.
	Iteration #009: testing norm threshold 0.229659 in range [0.228610, 0.230708]...	solution exists & found.
	Iteration #010: testing norm threshold 0.229135 in range [0.228610, 0.229659]...	no solution exists.
	Iteration #011: testing norm threshold 0.229397 in range [0.229135, 0.229659]...	solution exists & found.
	Iteration #012: testing norm threshold 0.229266 in range [0.229135, 0.229397]...	solution exists & found.
	Iteration #013: testing norm threshold 0.229200 in range [0.229135, 0.229266]...	solution exists & found.
	Iteration #014: testing norm threshold 0.229167 in range [0.229135, 0.229200]...	solution exists & found.
	Iteration #015: testing norm threshold 0.229151 in range [0.229135, 0.229168]...	no solution exists.
	Iteration #016: testing norm threshold 0.229159 in range [0.229151, 0.229168]...	solution exists & found.


Factual sample: 		 {x0 : -2.866030180146149, x1 : -2.8398854350514138, y: False}
Nearest counterfactual sample:	 {x0 : 2.9980253567193893, x1 : -2.8398854350514138, y: True} (verified)
Minimum counterfactual distance: 0.229159
