

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


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 0.156199 in range [0.000000, 0.312397]...	no solution exists.
	Iteration #003: testing norm threshold 0.234298 in range [0.156199, 0.312397]...	solution exists & found.
	Iteration #004: testing norm threshold 0.195248 in range [0.156199, 0.234298]...	no solution exists.
	Iteration #005: testing norm threshold 0.214773 in range [0.195248, 0.234298]...	no solution exists.
	Iteration #006: testing norm threshold 0.224536 in range [0.214773, 0.234298]...	solution exists & found.
	Iteration #007: testing norm threshold 0.219655 in range [0.214773, 0.224536]...	no solution exists.
	Iteration #008: testing norm threshold 0.222095 in range [0.219655, 0.224536]...	no solution exists.
	Iteration #009: testing norm threshold 0.223316 in range [0.222095, 0.224536]...	solution exists & found.
	Iteration #010: testing norm threshold 0.222705 in range [0.222095, 0.223316]...	no solution exists.
	Iteration #011: testing norm threshold 0.223011 in range [0.222705, 0.223316]...	solution exists & found.
	Iteration #012: testing norm threshold 0.222858 in range [0.222705, 0.223011]...	solution exists & found.
	Iteration #013: testing norm threshold 0.222782 in range [0.222705, 0.222858]...	solution exists & found.
	Iteration #014: testing norm threshold 0.222744 in range [0.222705, 0.222782]...	no solution exists.
	Iteration #015: testing norm threshold 0.222763 in range [0.222744, 0.222782]...	no solution exists.
	Iteration #016: testing norm threshold 0.222772 in range [0.222763, 0.222782]...	solution exists & found.


Factual sample: 		 {x0 : -3.108038394421656, x1 : -3.040325274071596, y: False}
Nearest counterfactual sample:	 {x0 : 2.3353373528969947, x1 : -3.040325274071596, y: True} (verified)
Minimum counterfactual distance: 0.222772
