

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


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 0.069654 in range [0.000000, 0.139308]...	no solution exists.
	Iteration #003: testing norm threshold 0.104481 in range [0.069654, 0.139308]...	no solution exists.
	Iteration #004: testing norm threshold 0.121894 in range [0.104481, 0.139308]...	no solution exists.
	Iteration #005: testing norm threshold 0.130601 in range [0.121894, 0.139308]...	solution exists & found.
	Iteration #006: testing norm threshold 0.126248 in range [0.121894, 0.130601]...	no solution exists.
	Iteration #007: testing norm threshold 0.128425 in range [0.126248, 0.130601]...	solution exists & found.
	Iteration #008: testing norm threshold 0.127336 in range [0.126248, 0.128425]...	solution exists & found.
	Iteration #009: testing norm threshold 0.126792 in range [0.126248, 0.127336]...	no solution exists.
	Iteration #010: testing norm threshold 0.127064 in range [0.126792, 0.127336]...	solution exists & found.
	Iteration #011: testing norm threshold 0.126928 in range [0.126792, 0.127064]...	solution exists & found.
	Iteration #012: testing norm threshold 0.126860 in range [0.126792, 0.126928]...	no solution exists.
	Iteration #013: testing norm threshold 0.126894 in range [0.126860, 0.126928]...	no solution exists.
	Iteration #014: testing norm threshold 0.126911 in range [0.126894, 0.126928]...	solution exists & found.
	Iteration #015: testing norm threshold 0.126903 in range [0.126894, 0.126911]...	solution exists & found.


Factual sample: 		 {x0 : -1.5305294872481967, x1 : -2.094331517410869, y: False}
Nearest counterfactual sample:	 {x0 : 1.5703051014053053, x1 : -2.094331517410869, y: True} (verified)
Minimum counterfactual distance: 0.126903
