

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


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 0.146110 in range [0.000000, 0.292220]...	no solution exists.
	Iteration #003: testing norm threshold 0.219165 in range [0.146110, 0.292220]...	no solution exists.
	Iteration #004: testing norm threshold 0.255692 in range [0.219165, 0.292220]...	solution exists & found.
	Iteration #005: testing norm threshold 0.237428 in range [0.219165, 0.255692]...	no solution exists.
	Iteration #006: testing norm threshold 0.246560 in range [0.237428, 0.255692]...	no solution exists.
	Iteration #007: testing norm threshold 0.251126 in range [0.246560, 0.255692]...	solution exists & found.
	Iteration #008: testing norm threshold 0.248843 in range [0.246560, 0.251126]...	no solution exists.
	Iteration #009: testing norm threshold 0.249985 in range [0.248843, 0.251126]...	no solution exists.
	Iteration #010: testing norm threshold 0.250556 in range [0.249985, 0.251126]...	no solution exists.
	Iteration #011: testing norm threshold 0.250841 in range [0.250556, 0.251126]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250698 in range [0.250556, 0.250841]...	solution exists & found.
	Iteration #013: testing norm threshold 0.250627 in range [0.250556, 0.250698]...	solution exists & found.
	Iteration #014: testing norm threshold 0.250591 in range [0.250556, 0.250627]...	no solution exists.
	Iteration #015: testing norm threshold 0.250609 in range [0.250591, 0.250627]...	no solution exists.
	Iteration #016: testing norm threshold 0.250618 in range [0.250609, 0.250627]...	no solution exists.


Factual sample: 		 {x0 : -2.4906123667307227, x1 : -3.74796785208096, y: False}
Nearest counterfactual sample:	 {x0 : 3.922789626057266, x1 : -3.74796785208096, y: True} (verified)
Minimum counterfactual distance: 0.250627
