

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


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 0.141493 in range [0.000000, 0.282985]...	no solution exists.
	Iteration #003: testing norm threshold 0.212239 in range [0.141493, 0.282985]...	solution exists & found.
	Iteration #004: testing norm threshold 0.176866 in range [0.141493, 0.212239]...	solution exists & found.
	Iteration #005: testing norm threshold 0.159179 in range [0.141493, 0.176866]...	solution exists & found.
	Iteration #006: testing norm threshold 0.150336 in range [0.141493, 0.159179]...	no solution exists.
	Iteration #007: testing norm threshold 0.154758 in range [0.150336, 0.159179]...	no solution exists.
	Iteration #008: testing norm threshold 0.156969 in range [0.154758, 0.159179]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155863 in range [0.154758, 0.156969]...	solution exists & found.
	Iteration #010: testing norm threshold 0.155311 in range [0.154758, 0.155863]...	solution exists & found.
	Iteration #011: testing norm threshold 0.155034 in range [0.154758, 0.155311]...	no solution exists.
	Iteration #012: testing norm threshold 0.155172 in range [0.155034, 0.155311]...	no solution exists.
	Iteration #013: testing norm threshold 0.155242 in range [0.155172, 0.155311]...	no solution exists.
	Iteration #014: testing norm threshold 0.155276 in range [0.155242, 0.155311]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155259 in range [0.155242, 0.155276]...	solution exists & found.
	Iteration #016: testing norm threshold 0.155250 in range [0.155242, 0.155259]...	no solution exists.


Factual sample: 		 {x0 : -2.558724664309711, x1 : -1.7330218182724446, y: False}
Nearest counterfactual sample:	 {x0 : 1.2349790584386977, x1 : -1.7330218182724446, y: True} (verified)
Minimum counterfactual distance: 0.155259
