

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


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 0.145467 in range [0.000000, 0.290933]...	no solution exists.
	Iteration #003: testing norm threshold 0.218200 in range [0.145467, 0.290933]...	no solution exists.
	Iteration #004: testing norm threshold 0.254567 in range [0.218200, 0.290933]...	solution exists & found.
	Iteration #005: testing norm threshold 0.236383 in range [0.218200, 0.254567]...	no solution exists.
	Iteration #006: testing norm threshold 0.245475 in range [0.236383, 0.254567]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240929 in range [0.236383, 0.245475]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238656 in range [0.236383, 0.240929]...	no solution exists.
	Iteration #009: testing norm threshold 0.239793 in range [0.238656, 0.240929]...	no solution exists.
	Iteration #010: testing norm threshold 0.240361 in range [0.239793, 0.240929]...	solution exists & found.
	Iteration #011: testing norm threshold 0.240077 in range [0.239793, 0.240361]...	solution exists & found.
	Iteration #012: testing norm threshold 0.239935 in range [0.239793, 0.240077]...	no solution exists.
	Iteration #013: testing norm threshold 0.240006 in range [0.239935, 0.240077]...	solution exists & found.
	Iteration #014: testing norm threshold 0.239971 in range [0.239935, 0.240006]...	no solution exists.
	Iteration #015: testing norm threshold 0.239988 in range [0.239971, 0.240006]...	no solution exists.
	Iteration #016: testing norm threshold 0.239997 in range [0.239988, 0.240006]...	solution exists & found.


Factual sample: 		 {x0 : -3.376953567156682, x1 : -3.2283765263561093, y: False}
Nearest counterfactual sample:	 {x0 : 2.487229875131076, x1 : -3.228302550115051, y: True} (verified)
Minimum counterfactual distance: 0.239997
