

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


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 0.201631 in range [0.000000, 0.403263]...	no solution exists.
	Iteration #003: testing norm threshold 0.302447 in range [0.201631, 0.403263]...	solution exists & found.
	Iteration #004: testing norm threshold 0.252039 in range [0.201631, 0.302447]...	no solution exists.
	Iteration #005: testing norm threshold 0.277243 in range [0.252039, 0.302447]...	solution exists & found.
	Iteration #006: testing norm threshold 0.264641 in range [0.252039, 0.277243]...	no solution exists.
	Iteration #007: testing norm threshold 0.270942 in range [0.264641, 0.277243]...	no solution exists.
	Iteration #008: testing norm threshold 0.274093 in range [0.270942, 0.277243]...	no solution exists.
	Iteration #009: testing norm threshold 0.275668 in range [0.274093, 0.277243]...	no solution exists.
	Iteration #010: testing norm threshold 0.276456 in range [0.275668, 0.277243]...	no solution exists.
	Iteration #011: testing norm threshold 0.276850 in range [0.276456, 0.277243]...	solution exists & found.
	Iteration #012: testing norm threshold 0.276653 in range [0.276456, 0.276850]...	solution exists & found.
	Iteration #013: testing norm threshold 0.276554 in range [0.276456, 0.276653]...	solution exists & found.
	Iteration #014: testing norm threshold 0.276505 in range [0.276456, 0.276554]...	