

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


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 0.136505 in range [0.000000, 0.273010]...	no solution exists.
	Iteration #003: testing norm threshold 0.204757 in range [0.136505, 0.273010]...	no solution exists.
	Iteration #004: testing norm threshold 0.238884 in range [0.204757, 0.273010]...	no solution exists.
	Iteration #005: testing norm threshold 0.255947 in range [0.238884, 0.273010]...	no solution exists.
	Iteration #006: testing norm threshold 0.264478 in range [0.255947, 0.273010]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260213 in range [0.255947, 0.264478]...	no solution exists.
	Iteration #008: testing norm threshold 0.262346 in range [0.260213, 0.264478]...	solution exists & found.
	Iteration #009: testing norm threshold 0.261279 in range [0.260213, 0.262346]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260746 in range [0.260213, 0.261279]...	no solution exists.
	Iteration #011: testing norm threshold 0.261013 in range [0.260746, 0.261279]...	solution exists & found.
	Iteration #012: testing norm threshold 0.260879 in range [0.260746, 0.261013]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260813 in range [0.260746, 0.260879]...	solution exists & found.
	Iteration #014: testing norm threshold 0.260779 in range [0.260746, 0.260813]...	no solution exists.
	Iteration #015: testing norm threshold 0.260796 in range [0.260779, 0.260813]...	no solution exists.
	Iteration #016: testing norm threshold 0.260804 in range [0.260796, 0.260813]...	solution exists & found.


Factual sample: 		 {x0 : -4.3186580461207456, x1 : -2.7982177492177382, y: False}
Nearest counterfactual sample:	 {x0 : 2.0538636299585624, x1 : -2.7980705576162417, y: True} (verified)
Minimum counterfactual distance: 0.260804
