

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


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 0.151426 in range [0.000000, 0.302852]...	no solution exists.
	Iteration #003: testing norm threshold 0.227139 in range [0.151426, 0.302852]...	solution exists & found.
	Iteration #004: testing norm threshold 0.184110 in range [0.151426, 0.216794]...	no solution exists.
	Iteration #005: testing norm threshold 0.200452 in range [0.184110, 0.216794]...	no solution exists.
	Iteration #006: testing norm threshold 0.208623 in range [0.200452, 0.216794]...	solution exists & found.
	Iteration #007: testing norm threshold 0.204538 in range [0.200452, 0.208623]...	no solution exists.
	Iteration #008: testing norm threshold 0.206581 in range [0.204538, 0.208623]...	solution exists & found.
	Iteration #009: testing norm threshold 0.205559 in range [0.204538, 0.206581]...	solution exists & found.
	Iteration #010: testing norm threshold 0.205049 in range [0.204538, 0.205559]...	solution exists & found.
	Iteration #011: testing norm threshold 0.204793 in range [0.204538, 0.205049]...	solution exists & found.
	Iteration #012: testing norm threshold 0.204666 in range [0.204538, 0.204793]...	solution exists & found.
	Iteration #013: testing norm threshold 0.204602 in range [0.204538, 0.204666]...	solution exists & found.
	Iteration #014: testing norm threshold 0.204570 in range [0.204538, 0.204602]...	no solution exists.
	Iteration #015: testing norm threshold 0.204586 in range [0.204570, 0.204602]...	solution exists & found.
	Iteration #016: testing norm threshold 0.204578 in range [0.204570, 0.204586]...	no solution exists.


Factual sample: 		 {x0 : -3.12031526155422, x1 : -2.570288628525421, y: False}
Nearest counterfactual sample:	 {x0 : 1.8786801427626967, x1 : -2.570288628525421, y: True} (verified)
Minimum counterfactual distance: 0.204586
