

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


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 0.130794 in range [0.000000, 0.261589]...	no solution exists.
	Iteration #003: testing norm threshold 0.196192 in range [0.130794, 0.261589]...	no solution exists.
	Iteration #004: testing norm threshold 0.228890 in range [0.196192, 0.261589]...	no solution exists.
	Iteration #005: testing norm threshold 0.245239 in range [0.228890, 0.261589]...	no solution exists.
	Iteration #006: testing norm threshold 0.253414 in range [0.245239, 0.261589]...	solution exists & found.
	Iteration #007: testing norm threshold 0.249327 in range [0.245239, 0.253414]...	solution exists & found.
	Iteration #008: testing norm threshold 0.247283 in range [0.245239, 0.249327]...	no solution exists.
	Iteration #009: testing norm threshold 0.248305 in range [0.247283, 0.249327]...	no solution exists.
	Iteration #010: testing norm threshold 0.248816 in range [0.248305, 0.249327]...	no solution exists.
	Iteration #011: testing norm threshold 0.249071 in range [0.248816, 0.249327]...	no solution exists.
	Iteration #012: testing norm threshold 0.249199 in range [0.249071, 0.249327]...	solution exists & found.
	Iteration #013: testing norm threshold 0.249135 in range [0.249071, 0.249199]...	no solution exists.
	Iteration #014: testing norm threshold 0.249167 in range [0.249135, 0.249199]...	no solution exists.
	Iteration #015: testing norm threshold 0.249183 in range [0.249167, 0.249199]...	solution exists & found.
	Iteration #016: testing norm threshold 0.249175 in range [0.249167, 0.249183]...	no solution exists.


Factual sample: 		 {x0 : -3.593986095638922, x1 : -3.237495317311417, y: False}
Nearest counterfactual sample:	 {x0 : 2.494551012514389, x1 : -3.2373238995294042, y: True} (verified)
Minimum counterfactual distance: 0.249183
