

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


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 0.140958 in range [0.000000, 0.281917]...	no solution exists.
	Iteration #003: testing norm threshold 0.211438 in range [0.140958, 0.281917]...	no solution exists.
	Iteration #004: testing norm threshold 0.246677 in range [0.211438, 0.281917]...	no solution exists.
	Iteration #005: testing norm threshold 0.264297 in range [0.246677, 0.281917]...	solution exists & found.
	Iteration #006: testing norm threshold 0.255487 in range [0.246677, 0.264297]...	no solution exists.
	Iteration #007: testing norm threshold 0.259892 in range [0.255487, 0.264297]...	solution exists & found.
	Iteration #008: testing norm threshold 0.257690 in range [0.255487, 0.259892]...	no solution exists.
	Iteration #009: testing norm threshold 0.258791 in range [0.257690, 0.259892]...	no solution exists.
	Iteration #010: testing norm threshold 0.259342 in range [0.258791, 0.259892]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259066 in range [0.258791, 0.259342]...	solution exists & found.
	Iteration #012: testing norm threshold 0.258929 in range [0.258791, 0.259066]...	solution exists & found.
	Iteration #013: testing norm threshold 0.258860 in range [0.258791, 0.258929]...	solution exists & found.
	Iteration #014: testing norm threshold 0.258826 in range [0.258791, 0.258860]...	solution exists & found.
	Iteration #015: testing norm threshold 0.258808 in range [0.258791, 0.258826]...	solution exists & found.
	Iteration #016: testing norm threshold 0.258800 in range [0.258791, 0.258808]...	solution exists & found.


Factual sample: 		 {x0 : -4.630970312092706, x1 : -1.8514089422611355, y: False}
Nearest counterfactual sample:	 {x0 : 1.9909852518956328, x1 : -1.8508945319512142, y: True} (verified)
Minimum counterfactual distance: 0.258800
