

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


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 0.145726 in range [0.000000, 0.291452]...	no solution exists.
	Iteration #003: testing norm threshold 0.218589 in range [0.145726, 0.291452]...	no solution exists.
	Iteration #004: testing norm threshold 0.255020 in range [0.218589, 0.291452]...	no solution exists.
	Iteration #005: testing norm threshold 0.273236 in range [0.255020, 0.291452]...	solution exists & found.
	Iteration #006: testing norm threshold 0.264128 in range [0.255020, 0.273236]...	solution exists & found.
	Iteration #007: testing norm threshold 0.259574 in range [0.255020, 0.264128]...	no solution exists.
	Iteration #008: testing norm threshold 0.261851 in range [0.259574, 0.264128]...	no solution exists.
	Iteration #009: testing norm threshold 0.262990 in range [0.261851, 0.264128]...	solution exists & found.
	Iteration #010: testing norm threshold 0.262421 in range [0.261851, 0.262990]...	solution exists & found.
	Iteration #011: testing norm threshold 0.262136 in range [0.261851, 0.262421]...	solution exists & found.
	Iteration #012: testing norm threshold 0.261994 in range [0.261851, 0.262136]...	no solution exists.
	Iteration #013: testing norm threshold 0.262065 in range [0.261994, 0.262136]...	no solution exists.
	Iteration #014: testing norm threshold 0.262100 in range [0.262065, 0.262136]...	solution exists & found.
	Iteration #015: testing norm threshold 0.262083 in range [0.262065, 0.262101]...	solution exists & found.
	Iteration #016: testing norm threshold 0.262074 in range [0.262065, 0.262083]...	no solution exists.


Factual sample: 		 {x0 : -3.2175092498734865, x1 : -3.321870392124516, y: False}
Nearest counterfactual sample:	 {x0 : 3.488951675272976, x1 : -3.3219449242939936, y: True} (verified)
Minimum counterfactual distance: 0.262083
