

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


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 0.101959 in range [0.000000, 0.203917]...	no solution exists.
	Iteration #003: testing norm threshold 0.152938 in range [0.101959, 0.203917]...	no solution exists.
	Iteration #004: testing norm threshold 0.178428 in range [0.152938, 0.203917]...	no solution exists.
	Iteration #005: testing norm threshold 0.191173 in range [0.178428, 0.203917]...	solution exists & found.
	Iteration #006: testing norm threshold 0.184800 in range [0.178428, 0.191173]...	no solution exists.
	Iteration #007: testing norm threshold 0.187986 in range [0.184800, 0.191173]...	no solution exists.
	Iteration #008: testing norm threshold 0.189580 in range [0.187986, 0.191173]...	no solution exists.
	Iteration #009: testing norm threshold 0.190376 in range [0.189580, 0.191173]...	no solution exists.
	Iteration #010: testing norm threshold 0.190774 in range [0.190376, 0.191173]...	solution exists & found.
	Iteration #011: testing norm threshold 0.190575 in range [0.190376, 0.190775]...	solution exists & found.
	Iteration #012: testing norm threshold 0.190476 in range [0.190376, 0.190575]...	no solution exists.
	Iteration #013: testing norm threshold 0.190526 in range [0.190476, 0.190575]...	no solution exists.
	Iteration #014: testing norm threshold 0.190551 in range [0.190526, 0.190575]...	solution exists & found.
	Iteration #015: testing norm threshold 0.190538 in range [0.190526, 0.190551]...	no solution exists.
	Iteration #016: testing norm threshold 0.190544 in range [0.190538, 0.190551]...	no solution exists.


Factual sample: 		 {x0 : -2.865773391354203, x1 : -1.8697924513950528, y: False}
Nearest counterfactual sample:	 {x0 : 2.0096227782687133, x1 : -1.8691874234352461, y: True} (verified)
Minimum counterfactual distance: 0.190551
