

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


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 0.151613 in range [0.000000, 0.303226]...	no solution exists.
	Iteration #003: testing norm threshold 0.227420 in range [0.151613, 0.303226]...	solution exists & found.
	Iteration #004: testing norm threshold 0.189516 in range [0.151613, 0.227420]...	no solution exists.
	Iteration #005: testing norm threshold 0.208468 in range [0.189516, 0.227420]...	no solution exists.
	Iteration #006: testing norm threshold 0.217944 in range [0.208468, 0.227420]...	solution exists & found.
	Iteration #007: testing norm threshold 0.213206 in range [0.208468, 0.217944]...	no solution exists.
	Iteration #008: testing norm threshold 0.215575 in range [0.213206, 0.217944]...	no solution exists.
	Iteration #009: testing norm threshold 0.216759 in range [0.215575, 0.217944]...	solution exists & found.
	Iteration #010: testing norm threshold 0.216167 in range [0.215575, 0.216760]...	solution exists & found.
	Iteration #011: testing norm threshold 0.215871 in range [0.215575, 0.216167]...	solution exists & found.
	Iteration #012: testing norm threshold 0.215723 in range [0.215575, 0.215871]...	no solution exists.
	Iteration #013: testing norm threshold 0.215797 in range [0.215723, 0.215871]...	no solution exists.
	Iteration #014: testing norm threshold 0.215834 in range [0.215797, 0.215871]...	no solution exists.
	Iteration #015: testing norm threshold 0.215853 in range [0.215834, 0.215871]...	no solution exists.
	Iteration #016: testing norm threshold 0.215862 in range [0.215853, 0.215871]...	no solution exists.


Factual sample: 		 {x0 : -2.7364663080989016, x1 : -3.291193108584602, y: False}
Nearest counterfactual sample:	 {x0 : 2.538281968488533, x1 : -3.291193108584602, y: True} (verified)
Minimum counterfactual distance: 0.215871
