

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


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 0.095555 in range [0.000000, 0.191109]...	no solution exists.
	Iteration #003: testing norm threshold 0.143332 in range [0.095555, 0.191109]...	no solution exists.
	Iteration #004: testing norm threshold 0.167220 in range [0.143332, 0.191109]...	no solution exists.
	Iteration #005: testing norm threshold 0.179165 in range [0.167220, 0.191109]...	solution exists & found.
	Iteration #006: testing norm threshold 0.173193 in range [0.167220, 0.179165]...	no solution exists.
	Iteration #007: testing norm threshold 0.176179 in range [0.173193, 0.179165]...	no solution exists.
	Iteration #008: testing norm threshold 0.177672 in range [0.176179, 0.179165]...	no solution exists.
	Iteration #009: testing norm threshold 0.178418 in range [0.177672, 0.179165]...	no solution exists.
	Iteration #010: testing norm threshold 0.178792 in range [0.178418, 0.179165]...	solution exists & found.
	Iteration #011: testing norm threshold 0.178605 in range [0.178418, 0.178792]...	no solution exists.
	Iteration #012: testing norm threshold 0.178698 in range [0.178605, 0.178792]...	no solution exists.
	Iteration #013: testing norm threshold 0.178745 in range [0.178698, 0.178792]...	solution exists & found.
	Iteration #014: testing norm threshold 0.178722 in range [0.178698, 0.178745]...	solution exists & found.
	Iteration #015: testing norm threshold 0.178710 in range [0.178698, 0.178722]...	solution exists & found.
	Iteration #016: testing norm threshold 0.178704 in range [0.178698, 0.178710]...	solution exists & found.


Factual sample: 		 {x0 : -0.7774505022645326, x1 : -4.590817891428178, y: False}
Nearest counterfactual sample:	 {x0 : 3.588921923223349, x1 : -4.590617383584345, y: True} (verified)
Minimum counterfactual distance: 0.178704
