

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


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 0.122463 in range [0.000000, 0.244926]...	no solution exists.
	Iteration #003: testing norm threshold 0.183695 in range [0.122463, 0.244926]...	solution exists & found.
	Iteration #004: testing norm threshold 0.153079 in range [0.122463, 0.183695]...	no solution exists.
	Iteration #005: testing norm threshold 0.168387 in range [0.153079, 0.183695]...	no solution exists.
	Iteration #006: testing norm threshold 0.176041 in range [0.168387, 0.183695]...	solution exists & found.
	Iteration #007: testing norm threshold 0.172214 in range [0.168387, 0.176041]...	solution exists & found.
	Iteration #008: testing norm threshold 0.170300 in range [0.168387, 0.172214]...	no solution exists.
	Iteration #009: testing norm threshold 0.171257 in range [0.170300, 0.172214]...	solution exists & found.
	Iteration #010: testing norm threshold 0.170779 in range [0.170300, 0.171257]...	solution exists & found.
	Iteration #011: testing norm threshold 0.170540 in range [0.170300, 0.170779]...	no solution exists.
	Iteration #012: testing norm threshold 0.170659 in range [0.170540, 0.170779]...	no solution exists.
	Iteration #013: testing norm threshold 0.170719 in range [0.170659, 0.170779]...	solution exists & found.
	Iteration #014: testing norm threshold 0.170689 in range [0.170659, 0.170719]...	no solution exists.
	Iteration #015: testing norm threshold 0.170704 in range [0.170689, 0.170719]...	no solution exists.
	Iteration #016: testing norm threshold 0.170712 in range [0.170704, 0.170719]...	solution exists & found.


Factual sample: 		 {x0 : -3.186256769886474, x1 : -1.0565427527376263, y: False}
Nearest counterfactual sample:	 {x0 : 1.1815501679642564, x1 : -1.056003701392389, y: True} (verified)
Minimum counterfactual distance: 0.170712
