

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


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 0.166924 in range [0.000000, 0.333848]...	no solution exists.
	Iteration #003: testing norm threshold 0.250386 in range [0.166924, 0.333848]...	solution exists & found.
	Iteration #004: testing norm threshold 0.208655 in range [0.166924, 0.250386]...	no solution exists.
	Iteration #005: testing norm threshold 0.229521 in range [0.208655, 0.250386]...	no solution exists.
	Iteration #006: testing norm threshold 0.239953 in range [0.229521, 0.250386]...	solution exists & found.
	Iteration #007: testing norm threshold 0.234737 in range [0.229521, 0.239953]...	no solution exists.
	Iteration #008: testing norm threshold 0.237345 in range [0.234737, 0.239953]...	no solution exists.
	Iteration #009: testing norm threshold 0.238649 in range [0.237345, 0.239953]...	no solution exists.
	Iteration #010: testing norm threshold 0.239301 in range [0.238649, 0.239953]...	solution exists & found.
	Iteration #011: testing norm threshold 0.238975 in range [0.238649, 0.239301]...	solution exists & found.
	Iteration #012: testing norm threshold 0.238812 in range [0.238649, 0.238976]...	no solution exists.
	Iteration #013: testing norm threshold 0.238894 in range [0.238812, 0.238976]...	no solution exists.
	Iteration #014: testing norm threshold 0.238935 in range [0.238894, 0.238976]...	solution exists & found.
	Iteration #015: testing norm threshold 0.238914 in range [0.238894, 0.238935]...	no solution exists.
	Iteration #016: testing norm threshold 0.238925 in range [0.238914, 0.238935]...	solution exists & found.
	Iteration #017: testing norm threshold 0.238920 in range [0.238914, 0.238925]...	solution exists & found.


Factual sample: 		 {x0 : -3.7322745120546568, x1 : -2.756327622242789, y: False}
Nearest counterfactual sample:	 {x0 : 2.1056051876862014, x1 : -2.756373765512534, y: True} (verified)
Minimum counterfactual distance: 0.238920
