

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


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 0.183098 in range [0.000000, 0.366195]...	no solution exists.
	Iteration #003: testing norm threshold 0.274646 in range [0.183098, 0.366195]...	no solution exists.
	Iteration #004: testing norm threshold 0.320421 in range [0.274646, 0.366195]...	solution exists & found.
	Iteration #005: testing norm threshold 0.297534 in range [0.274646, 0.320421]...	no solution exists.
	Iteration #006: testing norm threshold 0.308977 in range [0.297534, 0.320421]...	no solution exists.
	Iteration #007: testing norm threshold 0.314699 in range [0.308977, 0.320421]...	solution exists & found.
	Iteration #008: testing norm threshold 0.311838 in range [0.308977, 0.314699]...	solution exists & found.
	Iteration #009: testing norm threshold 0.310408 in range [0.308977, 0.311838]...	no solution exists.
	Iteration #010: testing norm threshold 0.311123 in range [0.310408, 0.311838]...	solution exists & found.
	Iteration #011: testing norm threshold 0.310765 in range [0.310408, 0.311123]...	no solution exists.
	Iteration #012: testing norm threshold 0.310944 in range [0.310765, 0.311123]...	solution exists & found.
	Iteration #013: testing norm threshold 0.310855 in range [0.310765, 0.310944]...	no solution exists.
	Iteration #014: testing norm threshold 0.310900 in range [0.310855, 0.310944]...	no solution exists.
	Iteration #015: testing norm threshold 0.310922 in range [0.310900, 0.310944]...	solution exists & found.
	Iteration #016: testing norm threshold 0.310911 in range [0.310900, 0.310922]...	solution exists & found.
	Iteration #017: testing norm threshold 0.310905 in range [0.310900, 0.310911]...	solution exists & found.


Factual sample: 		 {x0 : -3.5144806005942635, x1 : -4.257253456246255, y: False}
Nearest counterfactual sample:	 {x0 : 4.440987142108663, x1 : -4.256881011840344, y: True} (verified)
Minimum counterfactual distance: 0.310905
