

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


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 0.108721 in range [0.000000, 0.217442]...	no solution exists.
	Iteration #003: testing norm threshold 0.163081 in range [0.108721, 0.217442]...	no solution exists.
	Iteration #004: testing norm threshold 0.190261 in range [0.163081, 0.217442]...	no solution exists.
	Iteration #005: testing norm threshold 0.203852 in range [0.190261, 0.217442]...	no solution exists.
	Iteration #006: testing norm threshold 0.210647 in range [0.203852, 0.217442]...	solution exists & found.
	Iteration #007: testing norm threshold 0.207249 in range [0.203852, 0.210647]...	solution exists & found.
	Iteration #008: testing norm threshold 0.205550 in range [0.203852, 0.207249]...	solution exists & found.
	Iteration #009: testing norm threshold 0.204701 in range [0.203852, 0.205551]...	no solution exists.
	Iteration #010: testing norm threshold 0.205126 in range [0.204701, 0.205551]...	no solution exists.
	Iteration #011: testing norm threshold 0.205338 in range [0.205126, 0.205551]...	solution exists & found.
	Iteration #012: testing norm threshold 0.205232 in range [0.205126, 0.205338]...	no solution exists.
	Iteration #013: testing norm threshold 0.205285 in range [0.205232, 0.205338]...	solution exists & found.
	Iteration #014: testing norm threshold 0.205259 in range [0.205232, 0.205285]...	solution exists & found.
	Iteration #015: testing norm threshold 0.205245 in range [0.205232, 0.205259]...	solution exists & found.
	Iteration #016: testing norm threshold 0.205239 in range [0.205232, 0.205245]...	solution exists & found.


Factual sample: 		 {x0 : -2.3219492816227603, x1 : -3.6291014285937706, y: False}
Nearest counterfactual sample:	 {x0 : 2.6927301756252224, x1 : -3.6288515950767195, y: True} (verified)
Minimum counterfactual distance: 0.205239
