

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.122052 in range [0.000000, 0.244103]...	no solution exists.
	Iteration #003: testing norm threshold 0.183077 in range [0.122052, 0.244103]...	solution exists & found.
	Iteration #004: testing norm threshold 0.152565 in range [0.122052, 0.183078]...	no solution exists.
	Iteration #005: testing norm threshold 0.167821 in range [0.152565, 0.183078]...	solution exists & found.
	Iteration #006: testing norm threshold 0.160193 in range [0.152565, 0.167821]...	no solution exists.
	Iteration #007: testing norm threshold 0.164007 in range [0.160193, 0.167821]...	solution exists & found.
	Iteration #008: testing norm threshold 0.162100 in range [0.160193, 0.164007]...	no solution exists.
	Iteration #009: testing norm threshold 0.163054 in range [0.162100, 0.164007]...	solution exists & found.
	Iteration #010: testing norm threshold 0.162577 in range [0.162100, 0.163054]...	solution exists & found.
	Iteration #011: testing norm threshold 0.162338 in range [0.162100, 0.162577]...	no solution exists.
	Iteration #012: testing norm threshold 0.162458 in range [0.162338, 0.162577]...	no solution exists.
	Iteration #013: testing norm threshold 0.162517 in range [0.162458, 0.162577]...	no solution exists.
	Iteration #014: testing norm threshold 0.162547 in range [0.162517, 0.162577]...	solution exists & found.
	Iteration #015: testing norm threshold 0.162532 in range [0.162517, 0.162547]...	solution exists & found.
	Iteration #016: testing norm threshold 0.162525 in range [0.162517, 0.162532]...	no solution exists.


Factual sample: 		 {x0 : -1.9196240148926345, x1 : -2.795395193423812, y: False}
Nearest counterfactual sample:	 {x0 : 2.0518039648486215, x1 : -2.795395193423812, y: True} (verified)
Minimum counterfactual distance: 0.162532
