

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


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 0.108899 in range [0.000000, 0.217799]...	no solution exists.
	Iteration #003: testing norm threshold 0.163349 in range [0.108899, 0.217799]...	solution exists & found.
	Iteration #004: testing norm threshold 0.136124 in range [0.108899, 0.163349]...	no solution exists.
	Iteration #005: testing norm threshold 0.149737 in range [0.136124, 0.163349]...	no solution exists.
	Iteration #006: testing norm threshold 0.156543 in range [0.149737, 0.163349]...	no solution exists.
	Iteration #007: testing norm threshold 0.159946 in range [0.156543, 0.163349]...	no solution exists.
	Iteration #008: testing norm threshold 0.161647 in range [0.159946, 0.163349]...	no solution exists.
	Iteration #009: testing norm threshold 0.162498 in range [0.161647, 0.163349]...	no solution exists.
	Iteration #010: testing norm threshold 0.162924 in range [0.162498, 0.163349]...	solution exists & found.
	Iteration #011: testing norm threshold 0.162711 in range [0.162498, 0.162924]...	solution exists & found.
	Iteration #012: testing norm threshold 0.162605 in range [0.162498, 0.162711]...	solution exists & found.
	Iteration #013: testing norm threshold 0.162551 in range [0.162498, 0.162605]...	solution exists & found.
	Iteration #014: testing norm threshold 0.162525 in range [0.162498, 0.162552]...	solution exists & found.
	Iteration #015: testing norm threshold 0.162512 in range [0.162498, 0.162525]...	solution exists & found.
	Iteration #016: testing norm threshold 0.162505 in range [0.162498, 0.162512]...	no solution exists.


Factual sample: 		 {x0 : -2.256921239801999, x1 : -1.7630744005160317, y: False}
Nearest counterfactual sample:	 {x0 : 1.9015955514422316, x1 : -1.7631293662153533, y: True} (verified)
Minimum counterfactual distance: 0.162512
