

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


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 0.178843 in range [0.000000, 0.357686]...	no solution exists.
	Iteration #003: testing norm threshold 0.268264 in range [0.178843, 0.357686]...	no solution exists.
	Iteration #004: testing norm threshold 0.312975 in range [0.268264, 0.357686]...	solution exists & found.
	Iteration #005: testing norm threshold 0.290620 in range [0.268264, 0.312975]...	solution exists & found.
	Iteration #006: testing norm threshold 0.277106 in range [0.268264, 0.285948]...	solution exists & found.
	Iteration #007: testing norm threshold 0.272685 in range [0.268264, 0.277106]...	solution exists & found.
	Iteration #008: testing norm threshold 0.270475 in range [0.268264, 0.272686]...	no solution exists.
	Iteration #009: testing norm threshold 0.271580 in range [0.270475, 0.272686]...	no solution exists.
	Iteration #010: testing norm threshold 0.272133 in range [0.271580, 0.272686]...	no solution exists.
	Iteration #011: testing norm threshold 0.272409 in range [0.272133, 0.272686]...	no solution exists.
	Iteration #012: testing norm threshold 0.272547 in range [0.272409, 0.272686]...	no solution exists.
	Iteration #013: testing norm threshold 0.272616 in range [0.272547, 0.272686]...	solution exists & found.
	Iteration #014: testing norm threshold 0.272582 in range [0.272547, 0.272617]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272565 in range [0.272547, 0.272582]...	no solution exists.
	Iteration #016: testing norm threshold 0.272573 in range [0.272565, 0.272582]...	no solution exists.


Factual sample: 		 {x0 : -2.930754803998382, x1 : -3.867377125136831, y: False}
Nearest counterfactual sample:	 {x0 : 4.043704571817319, x1 : -3.866706375600616, y: True} (verified)
Minimum counterfactual distance: 0.272582
