

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.181906 in range [0.000000, 0.363812]...	no solution exists.
	Iteration #003: testing norm threshold 0.272859 in range [0.181906, 0.363812]...	solution exists & found.
	Iteration #004: testing norm threshold 0.227382 in range [0.181906, 0.272859]...	no solution exists.
	Iteration #005: testing norm threshold 0.250121 in range [0.227382, 0.272859]...	solution exists & found.
	Iteration #006: testing norm threshold 0.238751 in range [0.227382, 0.250121]...	no solution exists.
	Iteration #007: testing norm threshold 0.244436 in range [0.238751, 0.250121]...	no solution exists.
	Iteration #008: testing norm threshold 0.247278 in range [0.244436, 0.250121]...	no solution exists.
	Iteration #009: testing norm threshold 0.248699 in range [0.247278, 0.250121]...	solution exists & found.
	Iteration #010: testing norm threshold 0.247989 in range [0.247278, 0.248700]...	no solution exists.
	Iteration #011: testing norm threshold 0.248344 in range [0.247989, 0.248700]...	solution exists & found.
	Iteration #012: testing norm threshold 0.248167 in range [0.247989, 0.248344]...	no solution exists.
	Iteration #013: testing norm threshold 0.248256 in range [0.248167, 0.248344]...	solution exists & found.
	Iteration #014: testing norm threshold 0.248211 in range [0.248167, 0.248256]...	no solution exists.
	Iteration #015: testing norm threshold 0.248233 in range [0.248211, 0.248256]...	solution exists & found.
	Iteration #016: testing norm threshold 0.248222 in range [0.248211, 0.248233]...	no solution exists.
	Iteration #017: testing norm threshold 0.248228 in range [0.248222, 0.248233]...	solution exists & found.


Factual sample: 		 {x0 : -3.601296029920656, x1 : -3.3314408891191047, y: False}
Nearest counterfactual sample:	 {x0 : 2.464025814018673, x1 : -3.3314907254091266, y: True} (verified)
Minimum counterfactual distance: 0.248228
