

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


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 0.145928 in range [0.000000, 0.291856]...	no solution exists.
	Iteration #003: testing norm threshold 0.218892 in range [0.145928, 0.291856]...	solution exists & found.
	Iteration #004: testing norm threshold 0.182410 in range [0.145928, 0.218892]...	no solution exists.
	Iteration #005: testing norm threshold 0.200651 in range [0.182410, 0.218892]...	no solution exists.
	Iteration #006: testing norm threshold 0.209772 in range [0.200651, 0.218892]...	solution exists & found.
	Iteration #007: testing norm threshold 0.205212 in range [0.200651, 0.209772]...	no solution exists.
	Iteration #008: testing norm threshold 0.207492 in range [0.205212, 0.209772]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206352 in range [0.205212, 0.207492]...	no solution exists.
	Iteration #010: testing norm threshold 0.206922 in range [0.206352, 0.207492]...	no solution exists.
	Iteration #011: testing norm threshold 0.207207 in range [0.206922, 0.207492]...	no solution exists.
	Iteration #012: testing norm threshold 0.207349 in range [0.207207, 0.207492]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207278 in range [0.207207, 0.207349]...	no solution exists.
	Iteration #014: testing norm threshold 0.207314 in range [0.207278, 0.207349]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207296 in range [0.207278, 0.207314]...	no solution exists.
	Iteration #016: testing norm threshold 0.207305 in range [0.207296, 0.207314]...	solution exists & found.


Factual sample: 		 {x0 : -3.092350496062201, x1 : -2.592476729454782, y: False}
Nearest counterfactual sample:	 {x0 : 1.9729931476708633, x1 : -2.5923920262115696, y: True} (verified)
Minimum counterfactual distance: 0.207305
