

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


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 0.136740 in range [0.000000, 0.273479]...	no solution exists.
	Iteration #003: testing norm threshold 0.205110 in range [0.136740, 0.273479]...	no solution exists.
	Iteration #004: testing norm threshold 0.239295 in range [0.205110, 0.273479]...	no solution exists.
	Iteration #005: testing norm threshold 0.256387 in range [0.239295, 0.273479]...	no solution exists.
	Iteration #006: testing norm threshold 0.264933 in range [0.256387, 0.273479]...	solution exists & found.
	Iteration #007: testing norm threshold 0.260660 in range [0.256387, 0.264933]...	no solution exists.
	Iteration #008: testing norm threshold 0.262797 in range [0.260660, 0.264933]...	solution exists & found.
	Iteration #009: testing norm threshold 0.261729 in range [0.260660, 0.262797]...	solution exists & found.
	Iteration #010: testing norm threshold 0.261194 in range [0.260660, 0.261729]...	solution exists & found.
	Iteration #011: testing norm threshold 0.260927 in range [0.260660, 0.261195]...	no solution exists.
	Iteration #012: testing norm threshold 0.261061 in range [0.260927, 0.261195]...	no solution exists.
	Iteration #013: testing norm threshold 0.261128 in range [0.261061, 0.261195]...	solution exists & found.
	Iteration #014: testing norm threshold 0.261094 in range [0.261061, 0.261128]...	solution exists & found.
	Iteration #015: testing norm threshold 0.261078 in range [0.261061, 0.261094]...	solution exists & found.
	Iteration #016: testing norm threshold 0.261069 in range [0.261061, 0.261078]...	no solution exists.


Factual sample: 		 {x0 : -2.753664877401408, x1 : -4.635930531281856, y: False}
Nearest counterfactual sample:	 {x0 : 3.625327646412376, x1 : -4.635591273280654, y: True} (verified)
Minimum counterfactual distance: 0.261078
