

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


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 0.155336 in range [0.000000, 0.310672]...	no solution exists.
	Iteration #003: testing norm threshold 0.233004 in range [0.155336, 0.310672]...	no solution exists.
	Iteration #004: testing norm threshold 0.271838 in range [0.233004, 0.310672]...	solution exists & found.
	Iteration #005: testing norm threshold 0.252421 in range [0.233004, 0.271838]...	no solution exists.
	Iteration #006: testing norm threshold 0.262130 in range [0.252421, 0.271838]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257275 in range [0.252421, 0.262130]...	no solution exists.
	Iteration #008: testing norm threshold 0.259703 in range [0.257275, 0.262130]...	no solution exists.
	Iteration #009: testing norm threshold 0.260916 in range [0.259703, 0.262130]...	solution exists & found.
	Iteration #010: testing norm threshold 0.260309 in range [0.259703, 0.260916]...	no solution exists.
	Iteration #011: testing norm threshold 0.260613 in range [0.260309, 0.260916]...	no solution exists.
	Iteration #012: testing norm threshold 0.260765 in range [0.260613, 0.260916]...	solution exists & found.
	Iteration #013: testing norm threshold 0.260689 in range [0.260613, 0.260765]...	no solution exists.
	Iteration #014: testing norm threshold 0.260727 in range [0.260689, 0.260765]...	no solution exists.
	Iteration #015: testing norm threshold 0.260746 in range [0.260727, 0.260765]...	no solution exists.
	Iteration #016: testing norm threshold 0.260755 in range [0.260746, 0.260765]...	solution exists & found.


Factual sample: 		 {x0 : -3.125953077999014, x1 : -4.347575490563977, y: False}
Nearest counterfactual sample:	 {x0 : 3.245169755856736, x1 : -4.347247254418223, y: True} (verified)
Minimum counterfactual distance: 0.260755
