

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


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 0.085650 in range [0.000000, 0.171300]...	no solution exists.
	Iteration #003: testing norm threshold 0.128475 in range [0.085650, 0.171300]...	no solution exists.
	Iteration #004: testing norm threshold 0.149887 in range [0.128475, 0.171300]...	no solution exists.
	Iteration #005: testing norm threshold 0.160593 in range [0.149887, 0.171300]...	solution exists & found.
	Iteration #006: testing norm threshold 0.155240 in range [0.149887, 0.160594]...	no solution exists.
	Iteration #007: testing norm threshold 0.157917 in range [0.155240, 0.160594]...	no solution exists.
	Iteration #008: testing norm threshold 0.159255 in range [0.157917, 0.160594]...	solution exists & found.
	Iteration #009: testing norm threshold 0.158586 in range [0.157917, 0.159255]...	no solution exists.
	Iteration #010: testing norm threshold 0.158921 in range [0.158586, 0.159255]...	solution exists & found.
	Iteration #011: testing norm threshold 0.158754 in range [0.158586, 0.158921]...	no solution exists.
	Iteration #012: testing norm threshold 0.158837 in range [0.158754, 0.158921]...	no solution exists.
	Iteration #013: testing norm threshold 0.158879 in range [0.158837, 0.158921]...	no solution exists.
	Iteration #014: testing norm threshold 0.158900 in range [0.158879, 0.158921]...	solution exists & found.
	Iteration #015: testing norm threshold 0.158890 in range [0.158879, 0.158900]...	no solution exists.
	Iteration #016: testing norm threshold 0.158895 in range [0.158890, 0.158900]...	solution exists & found.


Factual sample: 		 {x0 : -2.2721987317259225, x1 : -2.1438443729717056, y: False}
Nearest counterfactual sample:	 {x0 : 1.6101385414659166, x1 : -2.1436480551683195, y: True} (verified)
Minimum counterfactual distance: 0.158895
