

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


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 0.174402 in range [0.000000, 0.348804]...	no solution exists.
	Iteration #003: testing norm threshold 0.261603 in range [0.174402, 0.348804]...	solution exists & found.
	Iteration #004: testing norm threshold 0.218003 in range [0.174402, 0.261603]...	solution exists & found.
	Iteration #005: testing norm threshold 0.196203 in range [0.174402, 0.218003]...	no solution exists.
	Iteration #006: testing norm threshold 0.207103 in range [0.196203, 0.218003]...	solution exists & found.
	Iteration #007: testing norm threshold 0.201653 in range [0.196203, 0.207103]...	no solution exists.
	Iteration #008: testing norm threshold 0.204378 in range [0.201653, 0.207103]...	solution exists & found.
	Iteration #009: testing norm threshold 0.203015 in range [0.201653, 0.204378]...	solution exists & found.
	Iteration #010: testing norm threshold 0.202334 in range [0.201653, 0.203015]...	no solution exists.
	Iteration #011: testing norm threshold 0.202675 in range [0.202334, 0.203015]...	solution exists & found.
	Iteration #012: testing norm threshold 0.202504 in range [0.202334, 0.202675]...	solution exists & found.
	Iteration #013: testing norm threshold 0.202419 in range [0.202334, 0.202504]...	solution exists & found.
	Iteration #014: testing norm threshold 0.202377 in range [0.202334, 0.202419]...	solution exists & found.
	Iteration #015: testing norm threshold 0.202355 in range [0.202334, 0.202377]...	no solution exists.
	Iteration #016: testing norm threshold 0.202366 in range [0.202355, 0.202377]...	no solution exists.
	Iteration #017: testing norm threshold 0.202371 in range [0.202366, 0.202377]...	solution exists & found.


Factual sample: 		 {x0 : -2.133739828747891, x1 : -3.782878806151226, y: False}
Nearest counterfactual sample:	 {x0 : 2.811145880614403, x1 : -3.782878806151226, y: True} (verified)
Minimum counterfactual distance: 0.202371
