

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


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 0.186942 in range [0.000000, 0.373883]...	no solution exists.
	Iteration #003: testing norm threshold 0.280413 in range [0.186942, 0.373883]...	solution exists & found.
	Iteration #004: testing norm threshold 0.209736 in range [0.186942, 0.232531]...	no solution exists.
	Iteration #005: testing norm threshold 0.221134 in range [0.209736, 0.232531]...	solution exists & found.
	Iteration #006: testing norm threshold 0.215435 in range [0.209736, 0.221134]...	no solution exists.
	Iteration #007: testing norm threshold 0.218285 in range [0.215435, 0.221134]...	no solution exists.
	Iteration #008: testing norm threshold 0.219709 in range [0.218285, 0.221134]...	no solution exists.
	Iteration #009: testing norm threshold 0.220422 in range [0.219709, 0.221134]...	solution exists & found.
	Iteration #010: testing norm threshold 0.220065 in range [0.219709, 0.220422]...	no solution exists.
	Iteration #011: testing norm threshold 0.220244 in range [0.220065, 0.220422]...	no solution exists.
	Iteration #012: testing norm threshold 0.220333 in range [0.220244, 0.220422]...	solution exists & found.
	Iteration #013: testing norm threshold 0.220288 in range [0.220244, 0.220333]...	no solution exists.
	Iteration #014: testing norm threshold 0.220310 in range [0.220288, 0.220333]...	no solution exists.
	Iteration #015: testing norm threshold 0.220322 in range [0.220310, 0.220333]...	no solution exists.
	Iteration #016: testing norm threshold 0.220327 in range [0.220322, 0.220333]...	solution exists & found.


Factual sample: 		 {x0 : -3.502885906152688, x1 : -2.5728294878898903, y: False}
Nearest counterfactual sample:	 {x0 : 1.8807435624596764, x1 : -2.5728294878898903, y: True} (verified)
Minimum counterfactual distance: 0.220327
