

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


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 0.138128 in range [0.000000, 0.276256]...	no solution exists.
	Iteration #003: testing norm threshold 0.207192 in range [0.138128, 0.276256]...	no solution exists.
	Iteration #004: testing norm threshold 0.241724 in range [0.207192, 0.276256]...	no solution exists.
	Iteration #005: testing norm threshold 0.258990 in range [0.241724, 0.276256]...	no solution exists.
	Iteration #006: testing norm threshold 0.267623 in range [0.258990, 0.276256]...	solution exists & found.
	Iteration #007: testing norm threshold 0.263306 in range [0.258990, 0.267623]...	no solution exists.
	Iteration #008: testing norm threshold 0.265464 in range [0.263306, 0.267623]...	solution exists & found.
	Iteration #009: testing norm threshold 0.264385 in range [0.263306, 0.265465]...	solution exists & found.
	Iteration #010: testing norm threshold 0.263846 in range [0.263306, 0.264385]...	no solution exists.
	Iteration #011: testing norm threshold 0.264116 in range [0.263846, 0.264385]...	solution exists & found.
	Iteration #012: testing norm threshold 0.263981 in range [0.263846, 0.264116]...	solution exists & found.
	Iteration #013: testing norm threshold 0.263913 in range [0.263846, 0.263981]...	solution exists & found.
	Iteration #014: testing norm threshold 0.263880 in range [0.263846, 0.263913]...	solution exists & found.
	Iteration #015: testing norm threshold 0.263863 in range [0.263846, 0.263880]...	solution exists & found.
	Iteration #016: testing norm threshold 0.263854 in range [0.263846, 0.263863]...	solution exists & found.


Factual sample: 		 {x0 : -4.049208987231907, x1 : -3.117737837408982, y: False}
Nearest counterfactual sample:	 {x0 : 2.397993369612925, x1 : -3.117737837408982, y: True} (verified)
Minimum counterfactual distance: 0.263854
