

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


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 0.107482 in range [0.000000, 0.214964]...	no solution exists.
	Iteration #003: testing norm threshold 0.161223 in range [0.107482, 0.214964]...	solution exists & found.
	Iteration #004: testing norm threshold 0.130681 in range [0.107482, 0.153880]...	no solution exists.
	Iteration #005: testing norm threshold 0.142281 in range [0.130681, 0.153880]...	solution exists & found.
	Iteration #006: testing norm threshold 0.136481 in range [0.130681, 0.142281]...	no solution exists.
	Iteration #007: testing norm threshold 0.139381 in range [0.136481, 0.142281]...	no solution exists.
	Iteration #008: testing norm threshold 0.140831 in range [0.139381, 0.142281]...	no solution exists.
	Iteration #009: testing norm threshold 0.141556 in range [0.140831, 0.142281]...	no solution exists.
	Iteration #010: testing norm threshold 0.141918 in range [0.141556, 0.142281]...	solution exists & found.
	Iteration #011: testing norm threshold 0.141737 in range [0.141556, 0.141918]...	solution exists & found.
	Iteration #012: testing norm threshold 0.141646 in range [0.141556, 0.141737]...	no solution exists.
	Iteration #013: testing norm threshold 0.141692 in range [0.141646, 0.141737]...	solution exists & found.
	Iteration #014: testing norm threshold 0.141669 in range [0.141646, 0.141692]...	no solution exists.
	Iteration #015: testing norm threshold 0.141681 in range [0.141669, 0.141692]...	solution exists & found.
	Iteration #016: testing norm threshold 0.141675 in range [0.141669, 0.141681]...	solution exists & found.


Factual sample: 		 {x0 : -1.4284636147876617, x1 : -2.771293634994582, y: False}
Nearest counterfactual sample:	 {x0 : 2.0333220035661403, x1 : -2.771293634994582, y: True} (verified)
Minimum counterfactual distance: 0.141675
