

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


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 0.139720 in range [0.000000, 0.279440]...	no solution exists.
	Iteration #003: testing norm threshold 0.209580 in range [0.139720, 0.279440]...	no solution exists.
	Iteration #004: testing norm threshold 0.244510 in range [0.209580, 0.279440]...	no solution exists.
	Iteration #005: testing norm threshold 0.261975 in range [0.244510, 0.279440]...	solution exists & found.
	Iteration #006: testing norm threshold 0.253243 in range [0.244510, 0.261975]...	solution exists & found.
	Iteration #007: testing norm threshold 0.248877 in range [0.244510, 0.253243]...	no solution exists.
	Iteration #008: testing norm threshold 0.251060 in range [0.248877, 0.253243]...	solution exists & found.
	Iteration #009: testing norm threshold 0.249968 in range [0.248877, 0.251060]...	no solution exists.
	Iteration #010: testing norm threshold 0.250514 in range [0.249968, 0.251060]...	no solution exists.
	Iteration #011: testing norm threshold 0.250787 in range [0.250514, 0.251060]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250651 in range [0.250514, 0.250787]...	no solution exists.
	Iteration #013: testing norm threshold 0.250719 in range [0.250651, 0.250787]...	solution exists & found.
	Iteration #014: testing norm threshold 0.250685 in range [0.250651, 0.250719]...	no solution exists.
	Iteration #015: testing norm threshold 0.250702 in range [0.250685, 0.250719]...	no solution exists.
	Iteration #016: testing norm threshold 0.250710 in range [0.250702, 0.250719]...	solution exists & found.


Factual sample: 		 {x0 : -3.0799111612877503, x1 : -3.1712558506958453, y: False}
Nearest counterfactual sample:	 {x0 : 3.335621395751295, x1 : -3.1712558506958453, y: True} (verified)
Minimum counterfactual distance: 0.250710
