

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


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 0.152057 in range [0.000000, 0.304113]...	no solution exists.
	Iteration #003: testing norm threshold 0.228085 in range [0.152057, 0.304113]...	solution exists & found.
	Iteration #004: testing norm threshold 0.190071 in range [0.152057, 0.228085]...	solution exists & found.
	Iteration #005: testing norm threshold 0.171064 in range [0.152057, 0.190071]...	no solution exists.
	Iteration #006: testing norm threshold 0.180567 in range [0.171064, 0.190071]...	no solution exists.
	Iteration #007: testing norm threshold 0.185319 in range [0.180567, 0.190071]...	solution exists & found.
	Iteration #008: testing norm threshold 0.182943 in range [0.180567, 0.185319]...	solution exists & found.
	Iteration #009: testing norm threshold 0.181756 in range [0.180567, 0.182944]...	solution exists & found.
	Iteration #010: testing norm threshold 0.181162 in range [0.180567, 0.181756]...	solution exists & found.
	Iteration #011: testing norm threshold 0.180865 in range [0.180567, 0.181162]...	solution exists & found.
	Iteration #012: testing norm threshold 0.180716 in range [0.180567, 0.180865]...	solution exists & found.
	Iteration #013: testing norm threshold 0.180642 in range [0.180567, 0.180716]...	no solution exists.
	Iteration #014: testing norm threshold 0.180679 in range [0.180642, 0.180716]...	solution exists & found.
	Iteration #015: testing norm threshold 0.180660 in range [0.180642, 0.180679]...	no solution exists.
	Iteration #016: testing norm threshold 0.180670 in range [0.180660, 0.180679]...	solution exists & found.


Factual sample: 		 {x0 : -2.592377487004912, x1 : -2.4057938639214425, y: False}
Nearest counterfactual sample:	 {x0 : 1.8219104988785826, x1 : -2.4054910600686945, y: True} (verified)
Minimum counterfactual distance: 0.180670
