

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


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 0.110179 in range [0.000000, 0.220358]...	no solution exists.
	Iteration #003: testing norm threshold 0.165269 in range [0.110179, 0.220358]...	no solution exists.
	Iteration #004: testing norm threshold 0.192813 in range [0.165269, 0.220358]...	no solution exists.
	Iteration #005: testing norm threshold 0.206586 in range [0.192813, 0.220358]...	solution exists & found.
	Iteration #006: testing norm threshold 0.199700 in range [0.192813, 0.206586]...	solution exists & found.
	Iteration #007: testing norm threshold 0.196257 in range [0.192813, 0.199700]...	no solution exists.
	Iteration #008: testing norm threshold 0.197978 in range [0.196257, 0.199700]...	solution exists & found.
	Iteration #009: testing norm threshold 0.197118 in range [0.196257, 0.197978]...	no solution exists.
	Iteration #010: testing norm threshold 0.197548 in range [0.197118, 0.197978]...	no solution exists.
	Iteration #011: testing norm threshold 0.197763 in range [0.197548, 0.197978]...	solution exists & found.
	Iteration #012: testing norm threshold 0.197656 in range [0.197548, 0.197763]...	no solution exists.
	Iteration #013: testing norm threshold 0.197709 in range [0.197656, 0.197763]...	no solution exists.
	Iteration #014: testing norm threshold 0.197736 in range [0.197709, 0.197763]...	solution exists & found.
	Iteration #015: testing norm threshold 0.197723 in range [0.197709, 0.197736]...	no solution exists.
	Iteration #016: testing norm threshold 0.197730 in range [0.197723, 0.197736]...	solution exists & found.


Factual sample: 		 {x0 : -3.184539357000543, x1 : -1.7371243321531786, y: False}
Nearest counterfactual sample:	 {x0 : 1.874358307312017, x1 : -1.736334076605783, y: True} (verified)
Minimum counterfactual distance: 0.197730
