

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


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 0.145617 in range [0.000000, 0.291233]...	no solution exists.
	Iteration #003: testing norm threshold 0.218425 in range [0.145617, 0.291233]...	solution exists & found.
	Iteration #004: testing norm threshold 0.182021 in range [0.145617, 0.218425]...	no solution exists.
	Iteration #005: testing norm threshold 0.200223 in range [0.182021, 0.218425]...	no solution exists.
	Iteration #006: testing norm threshold 0.209324 in range [0.200223, 0.218425]...	solution exists & found.
	Iteration #007: testing norm threshold 0.204773 in range [0.200223, 0.209324]...	no solution exists.
	Iteration #008: testing norm threshold 0.207049 in range [0.204773, 0.209324]...	solution exists & found.
	Iteration #009: testing norm threshold 0.205911 in range [0.204773, 0.207049]...	no solution exists.
	Iteration #010: testing norm threshold 0.206480 in range [0.205911, 0.207049]...	no solution exists.
	Iteration #011: testing norm threshold 0.206764 in range [0.206480, 0.207049]...	no solution exists.
	Iteration #012: testing norm threshold 0.206907 in range [0.206764, 0.207049]...	solution exists & found.
	Iteration #013: testing norm threshold 0.206836 in range [0.206764, 0.206907]...	solution exists & found.
	Iteration #014: testing norm threshold 0.206800 in range [0.206764, 0.206836]...	no solution exists.
	Iteration #015: testing norm threshold 0.206818 in range [0.206800, 0.206836]...	no solution exists.
	Iteration #016: testing norm threshold 0.206827 in range [0.206818, 0.206836]...	no solution exists.


Factual sample: 		 {x0 : -3.342058603973336, x1 : -2.269512607453417, y: False}
Nearest counterfactual sample:	 {x0 : 1.7118907225840931, x1 : -2.2695280517951013, y: True} (verified)
Minimum counterfactual distance: 0.206836
