

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.129860 in range [0.000000, 0.259720]...	no solution exists.
	Iteration #003: testing norm threshold 0.194790 in range [0.129860, 0.259720]...	no solution exists.
	Iteration #004: testing norm threshold 0.227255 in range [0.194790, 0.259720]...	solution exists & found.
	Iteration #005: testing norm threshold 0.211022 in range [0.194790, 0.227255]...	solution exists & found.
	Iteration #006: testing norm threshold 0.202906 in range [0.194790, 0.211023]...	no solution exists.
	Iteration #007: testing norm threshold 0.206964 in range [0.202906, 0.211023]...	no solution exists.
	Iteration #008: testing norm threshold 0.208994 in range [0.206964, 0.211023]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207979 in range [0.206964, 0.208994]...	no solution exists.
	Iteration #010: testing norm threshold 0.208486 in range [0.207979, 0.208994]...	solution exists & found.
	Iteration #011: testing norm threshold 0.208233 in range [0.207979, 0.208486]...	solution exists & found.
	Iteration #012: testing norm threshold 0.208106 in range [0.207979, 0.208233]...	solution exists & found.
	Iteration #013: testing norm threshold 0.208043 in range [0.207979, 0.208106]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208011 in range [0.207979, 0.208043]...	no solution exists.
	Iteration #015: testing norm threshold 0.208027 in range [0.208011, 0.208043]...	solution exists & found.
	Iteration #016: testing norm threshold 0.208019 in range [0.208011, 0.208027]...	solution exists & found.


Factual sample: 		 {x0 : -1.935480057397181, x1 : -3.576060545679026, y: False}
Nearest counterfactual sample:	 {x0 : 3.0233646916158428, x1 : -3.576060545679026, y: True} (verified)
Minimum counterfactual distance: 0.208019
