

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


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 0.180761 in range [0.000000, 0.361521]...	no solution exists.
	Iteration #003: testing norm threshold 0.271141 in range [0.180761, 0.361521]...	no solution exists.
	Iteration #004: testing norm threshold 0.316331 in range [0.271141, 0.361521]...	solution exists & found.
	Iteration #005: testing norm threshold 0.289458 in range [0.271141, 0.307776]...	solution exists & found.
	Iteration #006: testing norm threshold 0.280300 in range [0.271141, 0.289459]...	solution exists & found.
	Iteration #007: testing norm threshold 0.275720 in range [0.271141, 0.280300]...	no solution exists.
	Iteration #008: testing norm threshold 0.278010 in range [0.275720, 0.280300]...	solution exists & found.
	Iteration #009: testing norm threshold 0.276865 in range [0.275720, 0.278010]...	solution exists & found.
	Iteration #010: testing norm threshold 0.276293 in range [0.275720, 0.276865]...	solution exists & found.
	Iteration #011: testing norm threshold 0.276007 in range [0.275720, 0.276293]...	no solution exists.
	Iteration #012: testing norm threshold 0.276150 in range [0.276007, 0.276293]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276078 in range [0.276007, 0.276150]...	solution exists & found.
	Iteration #014: testing norm threshold 0.276043 in range [0.276007, 0.276078]...	solution exists & found.
	Iteration #015: testing norm threshold 0.276025 in range [0.276007, 0.276043]...	no solution exists.
	Iteration #016: testing norm threshold 0.276034 in range [0.276025, 0.276043]...	no solution exists.


Factual sample: 		 {x0 : -3.0106109729364525, x1 : -3.876028287379432, y: False}
Nearest counterfactual sample:	 {x0 : 4.053144919818376, x1 : -3.8760405391246238, y: True} (verified)
Minimum counterfactual distance: 0.276043
