

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


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 0.130302 in range [0.000000, 0.260604]...	no solution exists.
	Iteration #003: testing norm threshold 0.195453 in range [0.130302, 0.260604]...	no solution exists.
	Iteration #004: testing norm threshold 0.228029 in range [0.195453, 0.260604]...	solution exists & found.
	Iteration #005: testing norm threshold 0.209171 in range [0.195453, 0.222888]...	no solution exists.
	Iteration #006: testing norm threshold 0.216030 in range [0.209171, 0.222888]...	solution exists & found.
	Iteration #007: testing norm threshold 0.212600 in range [0.209171, 0.216030]...	solution exists & found.
	Iteration #008: testing norm threshold 0.210886 in range [0.209171, 0.212600]...	solution exists & found.
	Iteration #009: testing norm threshold 0.210028 in range [0.209171, 0.210886]...	no solution exists.
	Iteration #010: testing norm threshold 0.210457 in range [0.210028, 0.210886]...	no solution exists.
	Iteration #011: testing norm threshold 0.210671 in range [0.210457, 0.210886]...	no solution exists.
	Iteration #012: testing norm threshold 0.210779 in range [0.210671, 0.210886]...	solution exists & found.
	Iteration #013: testing norm threshold 0.210725 in range [0.210671, 0.210779]...	solution exists & found.
	Iteration #014: testing norm threshold 0.210698 in range [0.210671, 0.210725]...	solution exists & found.
	Iteration #015: testing norm threshold 0.210685 in range [0.210671, 0.210698]...	solution exists & found.
	Iteration #016: testing norm threshold 0.210678 in range [0.210671, 0.210685]...	no solution exists.


Factual sample: 		 {x0 : -3.219186965815928, x1 : -2.635354854230369, y: False}
Nearest counterfactual sample:	 {x0 : 1.9288342318056846, x1 : -2.635354854230369, y: True} (verified)
Minimum counterfactual distance: 0.210685
