

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


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 0.113774 in range [0.000000, 0.227547]...	no solution exists.
	Iteration #003: testing norm threshold 0.170660 in range [0.113774, 0.227547]...	solution exists & found.
	Iteration #004: testing norm threshold 0.142217 in range [0.113774, 0.170660]...	no solution exists.
	Iteration #005: testing norm threshold 0.156439 in range [0.142217, 0.170660]...	no solution exists.
	Iteration #006: testing norm threshold 0.163550 in range [0.156439, 0.170660]...	solution exists & found.
	Iteration #007: testing norm threshold 0.159994 in range [0.156439, 0.163550]...	solution exists & found.
	Iteration #008: testing norm threshold 0.158217 in range [0.156439, 0.159994]...	no solution exists.
	Iteration #009: testing norm threshold 0.159105 in range [0.158217, 0.159994]...	solution exists & found.
	Iteration #010: testing norm threshold 0.158661 in range [0.158217, 0.159106]...	no solution exists.
	Iteration #011: testing norm threshold 0.158883 in range [0.158661, 0.159106]...	no solution exists.
	Iteration #012: testing norm threshold 0.158994 in range [0.158883, 0.159106]...	solution exists & found.
	Iteration #013: testing norm threshold 0.158939 in range [0.158883, 0.158995]...	solution exists & found.
	Iteration #014: testing norm threshold 0.158911 in range [0.158883, 0.158939]...	solution exists & found.
	Iteration #015: testing norm threshold 0.158897 in range [0.158883, 0.158911]...	solution exists & found.
	Iteration #016: testing norm threshold 0.158890 in range [0.158883, 0.158897]...	no solution exists.


Factual sample: 		 {x0 : -2.2721987317259225, x1 : -2.1438443729717056, y: False}
Nearest counterfactual sample:	 {x0 : 1.6104089707404194, x1 : -2.1438443729717056, y: True} (verified)
Minimum counterfactual distance: 0.158897
