

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


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 0.087175 in range [0.000000, 0.174351]...	no solution exists.
	Iteration #003: testing norm threshold 0.130763 in range [0.087175, 0.174351]...	solution exists & found.
	Iteration #004: testing norm threshold 0.108969 in range [0.087175, 0.130763]...	no solution exists.
	Iteration #005: testing norm threshold 0.119866 in range [0.108969, 0.130763]...	solution exists & found.
	Iteration #006: testing norm threshold 0.114418 in range [0.108969, 0.119866]...	no solution exists.
	Iteration #007: testing norm threshold 0.117142 in range [0.114418, 0.119866]...	no solution exists.
	Iteration #008: testing norm threshold 0.118504 in range [0.117142, 0.119866]...	no solution exists.
	Iteration #009: testing norm threshold 0.119185 in range [0.118504, 0.119866]...	solution exists & found.
	Iteration #010: testing norm threshold 0.118845 in range [0.118504, 0.119185]...	no solution exists.
	Iteration #011: testing norm threshold 0.119015 in range [0.118845, 0.119185]...	no solution exists.
	Iteration #012: testing norm threshold 0.119100 in range [0.119015, 0.119185]...	solution exists & found.
	Iteration #013: testing norm threshold 0.119058 in range [0.119015, 0.119100]...	no solution exists.
	Iteration #014: testing norm threshold 0.119079 in range [0.119058, 0.119100]...	solution exists & found.
	Iteration #015: testing norm threshold 0.119068 in range [0.119058, 0.119079]...	solution exists & found.
	Iteration #016: testing norm threshold 0.119063 in range [0.119058, 0.119068]...	solution exists & found.


Factual sample: 		 {x0 : -1.425043074364586, x1 : -1.4881782146290456, y: False}
Nearest counterfactual sample:	 {x0 : 1.6217119126231427, x1 : -1.4881782146290456, y: True} (verified)
Minimum counterfactual distance: 0.119063
