

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


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 0.100716 in range [0.000000, 0.201432]...	no solution exists.
	Iteration #003: testing norm threshold 0.151074 in range [0.100716, 0.201432]...	no solution exists.
	Iteration #004: testing norm threshold 0.176253 in range [0.151074, 0.201432]...	no solution exists.
	Iteration #005: testing norm threshold 0.188843 in range [0.176253, 0.201432]...	solution exists & found.
	Iteration #006: testing norm threshold 0.182548 in range [0.176253, 0.188843]...	solution exists & found.
	Iteration #007: testing norm threshold 0.179401 in range [0.176253, 0.182548]...	solution exists & found.
	Iteration #008: testing norm threshold 0.177827 in range [0.176253, 0.179401]...	solution exists & found.
	Iteration #009: testing norm threshold 0.177040 in range [0.176253, 0.177827]...	no solution exists.
	Iteration #010: testing norm threshold 0.177434 in range [0.177040, 0.177827]...	solution exists & found.
	Iteration #011: testing norm threshold 0.177237 in range [0.177040, 0.177434]...	no solution exists.
	Iteration #012: testing norm threshold 0.177335 in range [0.177237, 0.177434]...	no solution exists.
	Iteration #013: testing norm threshold 0.177384 in range [0.177335, 0.177434]...	no solution exists.
	Iteration #014: testing norm threshold 0.177409 in range [0.177384, 0.177434]...	no solution exists.
	Iteration #015: testing norm threshold 0.177421 in range [0.177409, 0.177434]...	no solution exists.
	Iteration #016: testing norm threshold 0.177428 in range [0.177421, 0.177434]...	no solution exists.


Factual sample: 		 {x0 : -2.3382933844872174, x1 : -2.058228813690602, y: False}
Nearest counterfactual sample:	 {x0 : 2.2021005820409223, x1 : -2.0582539030203733, y: True} (verified)
Minimum counterfactual distance: 0.177434
