

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


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 0.164155 in range [0.000000, 0.328309]...	no solution exists.
	Iteration #003: testing norm threshold 0.246232 in range [0.164155, 0.328309]...	solution exists & found.
	Iteration #004: testing norm threshold 0.205193 in range [0.164155, 0.246232]...	no solution exists.
	Iteration #005: testing norm threshold 0.225713 in range [0.205193, 0.246232]...	no solution exists.
	Iteration #006: testing norm threshold 0.235972 in range [0.225713, 0.246232]...	solution exists & found.
	Iteration #007: testing norm threshold 0.230842 in range [0.225713, 0.235972]...	no solution exists.
	Iteration #008: testing norm threshold 0.233407 in range [0.230842, 0.235972]...	no solution exists.
	Iteration #009: testing norm threshold 0.234690 in range [0.233407, 0.235972]...	no solution exists.
	Iteration #010: testing norm threshold 0.235331 in range [0.234690, 0.235972]...	solution exists & found.
	Iteration #011: testing norm threshold 0.235011 in range [0.234690, 0.235331]...	solution exists & found.
	Iteration #012: testing norm threshold 0.234850 in range [0.234690, 0.235011]...	solution exists & found.
	Iteration #013: testing norm threshold 0.234770 in range [0.234690, 0.234850]...	solution exists & found.
	Iteration #014: testing norm threshold 0.234730 in range [0.234690, 0.234770]...	no solution exists.
	Iteration #015: testing norm threshold 0.234750 in range [0.234730, 0.234770]...	solution exists & found.
	Iteration #016: testing norm threshold 0.234740 in range [0.234730, 0.234750]...	no solution exists.
	Iteration #017: testing norm threshold 0.234745 in range [0.234740, 0.234750]...	solution exists & found.


Factual sample: 		 {x0 : -3.972938571553017, x1 : -2.332726913607788, y: False}
Nearest counterfactual sample:	 {x0 : 1.7629900012719835, x1 : -2.332726913607788, y: True} (verified)
Minimum counterfactual distance: 0.234745
