

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


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 0.093369 in range [0.000000, 0.186738]...	no solution exists.
	Iteration #003: testing norm threshold 0.140053 in range [0.093369, 0.186738]...	solution exists & found.
	Iteration #004: testing norm threshold 0.116711 in range [0.093369, 0.140053]...	no solution exists.
	Iteration #005: testing norm threshold 0.128382 in range [0.116711, 0.140053]...	solution exists & found.
	Iteration #006: testing norm threshold 0.122547 in range [0.116711, 0.128382]...	no solution exists.
	Iteration #007: testing norm threshold 0.125464 in range [0.122547, 0.128382]...	no solution exists.
	Iteration #008: testing norm threshold 0.126923 in range [0.125464, 0.128382]...	no solution exists.
	Iteration #009: testing norm threshold 0.127653 in range [0.126923, 0.128382]...	no solution exists.
	Iteration #010: testing norm threshold 0.128018 in range [0.127653, 0.128382]...	no solution exists.
	Iteration #011: testing norm threshold 0.128200 in range [0.128018, 0.128382]...	solution exists & found.
	Iteration #012: testing norm threshold 0.128109 in range [0.128018, 0.128200]...	no solution exists.
	Iteration #013: testing norm threshold 0.128154 in range [0.128109, 0.128200]...	no solution exists.
	Iteration #014: testing norm threshold 0.128177 in range [0.128154, 0.128200]...	solution exists & found.
	Iteration #015: testing norm threshold 0.128166 in range [0.128154, 0.128177]...	no solution exists.
	Iteration #016: testing norm threshold 0.128172 in range [0.128166, 0.128177]...	solution exists & found.


Factual sample: 		 {x0 : -3.0707266374245474, x1 : -0.228090313451982, y: False}
Nearest counterfactual sample:	 {x0 : 0.060967774353350095, x1 : -0.22795931631800745, y: True} (verified)
Minimum counterfactual distance: 0.128172
