

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


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 0.108879 in range [0.000000, 0.217758]...	no solution exists.
	Iteration #003: testing norm threshold 0.163318 in range [0.108879, 0.217758]...	no solution exists.
	Iteration #004: testing norm threshold 0.190538 in range [0.163318, 0.217758]...	solution exists & found.
	Iteration #005: testing norm threshold 0.171274 in range [0.163318, 0.179229]...	solution exists & found.
	Iteration #006: testing norm threshold 0.167296 in range [0.163318, 0.171274]...	solution exists & found.
	Iteration #007: testing norm threshold 0.165307 in range [0.163318, 0.167296]...	no solution exists.
	Iteration #008: testing norm threshold 0.166302 in range [0.165307, 0.167296]...	no solution exists.
	Iteration #009: testing norm threshold 0.166799 in range [0.166302, 0.167296]...	no solution exists.
	Iteration #010: testing norm threshold 0.167048 in range [0.166799, 0.167296]...	solution exists & found.
	Iteration #011: testing norm threshold 0.166923 in range [0.166799, 0.167048]...	solution exists & found.
	Iteration #012: testing norm threshold 0.166861 in range [0.166799, 0.166924]...	solution exists & found.
	Iteration #013: testing norm threshold 0.166830 in range [0.166799, 0.166861]...	solution exists & found.
	Iteration #014: testing norm threshold 0.166815 in range [0.166799, 0.166830]...	no solution exists.
	Iteration #015: testing norm threshold 0.166823 in range [0.166815, 0.166830]...	solution exists & found.


Factual sample: 		 {x0 : -1.986852545086174, x1 : -2.7363097147507576, y: False}
Nearest counterfactual sample:	 {x0 : 2.0892952201885886, x1 : -2.736205029535282, y: True} (verified)
Minimum counterfactual distance: 0.166823
