

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


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 0.162946 in range [0.000000, 0.325891]...	no solution exists.
	Iteration #003: testing norm threshold 0.244419 in range [0.162946, 0.325891]...	no solution exists.
	Iteration #004: testing norm threshold 0.285155 in range [0.244419, 0.325891]...	solution exists & found.
	Iteration #005: testing norm threshold 0.264787 in range [0.244419, 0.285155]...	no solution exists.
	Iteration #006: testing norm threshold 0.274971 in range [0.264787, 0.285155]...	solution exists & found.
	Iteration #007: testing norm threshold 0.269879 in range [0.264787, 0.274971]...	no solution exists.
	Iteration #008: testing norm threshold 0.272425 in range [0.269879, 0.274971]...	solution exists & found.
	Iteration #009: testing norm threshold 0.271152 in range [0.269879, 0.272425]...	solution exists & found.
	Iteration #010: testing norm threshold 0.270516 in range [0.269879, 0.271152]...	no solution exists.
	Iteration #011: testing norm threshold 0.270834 in range [0.270516, 0.271152]...	solution exists & found.
	Iteration #012: testing norm threshold 0.270675 in range [0.270516, 0.270834]...	solution exists & found.
	Iteration #013: testing norm threshold 0.270595 in range [0.270516, 0.270675]...	no solution exists.
	Iteration #014: testing norm threshold 0.270635 in range [0.270595, 0.270675]...	solution exists & found.
	Iteration #015: testing norm threshold 0.270615 in range [0.270595, 0.270635]...	solution exists & found.
	Iteration #016: testing norm threshold 0.270605 in range [0.270595, 0.270615]...	solution exists & found.
	Iteration #017: testing norm threshold 0.270600 in range [0.270595, 0.270605]...	solution exists & found.


Factual sample: 		 {x0 : -2.647588551574509, x1 : -4.09575157654217, y: False}
Nearest counterfactual sample:	 {x0 : 4.276915337461663, x1 : -4.09575157654217, y: True} (verified)
Minimum counterfactual distance: 0.270600
