

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


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 0.051595 in range [0.000000, 0.103190]...	no solution exists.
	Iteration #003: testing norm threshold 0.077392 in range [0.051595, 0.103190]...	no solution exists.
	Iteration #004: testing norm threshold 0.090291 in range [0.077392, 0.103190]...	solution exists & found.
	Iteration #005: testing norm threshold 0.083842 in range [0.077392, 0.090291]...	no solution exists.
	Iteration #006: testing norm threshold 0.087066 in range [0.083842, 0.090291]...	no solution exists.
	Iteration #007: testing norm threshold 0.088679 in range [0.087066, 0.090291]...	no solution exists.
	Iteration #008: testing norm threshold 0.089485 in range [0.088679, 0.090291]...	no solution exists.
	Iteration #009: testing norm threshold 0.089888 in range [0.089485, 0.090291]...	solution exists & found.
	Iteration #010: testing norm threshold 0.089686 in range [0.089485, 0.089888]...	no solution exists.
	Iteration #011: testing norm threshold 0.089787 in range [0.089686, 0.089888]...	no solution exists.
	Iteration #012: testing norm threshold 0.089838 in range [0.089787, 0.089888]...	solution exists & found.
	Iteration #013: testing norm threshold 0.089813 in range [0.089787, 0.089838]...	no solution exists.
	Iteration #014: testing norm threshold 0.089825 in range [0.089813, 0.089838]...	solution exists & found.
	Iteration #015: testing norm threshold 0.089819 in range [0.089813, 0.089825]...	solution exists & found.


Factual sample: 		 {x0 : -1.5922195252981588, x1 : -0.5892157884586449, y: False}
Nearest counterfactual sample:	 {x0 : 0.7061809112548575, x1 : -0.5892274249184906, y: True} (verified)
Minimum counterfactual distance: 0.089819
