

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


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 0.173742 in range [0.000000, 0.347483]...	no solution exists.
	Iteration #003: testing norm threshold 0.260612 in range [0.173742, 0.347483]...	solution exists & found.
	Iteration #004: testing norm threshold 0.217177 in range [0.173742, 0.260613]...	no solution exists.
	Iteration #005: testing norm threshold 0.238895 in range [0.217177, 0.260613]...	no solution exists.
	Iteration #006: testing norm threshold 0.249754 in range [0.238895, 0.260613]...	solution exists & found.
	Iteration #007: testing norm threshold 0.244324 in range [0.238895, 0.249754]...	no solution exists.
	Iteration #008: testing norm threshold 0.247039 in range [0.244324, 0.249754]...	no solution exists.
	Iteration #009: testing norm threshold 0.248396 in range [0.247039, 0.249754]...	no solution exists.
	Iteration #010: testing norm threshold 0.249075 in range [0.248396, 0.249754]...	no solution exists.
	Iteration #011: testing norm threshold 0.249414 in range [0.249075, 0.249754]...	solution exists & found.
	Iteration #012: testing norm threshold 0.249245 in range [0.249075, 0.249415]...	solution exists & found.
	Iteration #013: testing norm threshold 0.249160 in range [0.249075, 0.249245]...	no solution exists.
	Iteration #014: testing norm threshold 0.249202 in range [0.249160, 0.249245]...	solution exists & found.
	Iteration #015: testing norm threshold 0.249181 in range [0.249160, 0.249203]...	solution exists & found.
	Iteration #016: testing norm threshold 0.249171 in range [0.249160, 0.249181]...	no solution exists.
	Iteration #017: testing norm threshold 0.249176 in range [0.249171, 0.249181]...	no solution exists.


Factual sample: 		 {x0 : -3.593986095638922, x1 : -3.237495317311417, y: False}
Nearest counterfactual sample:	 {x0 : 2.494684989360854, x1 : -3.237495317311417, y: True} (verified)
Minimum counterfactual distance: 0.249181
