

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


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 0.094606 in range [0.000000, 0.189212]...	no solution exists.
	Iteration #003: testing norm threshold 0.141909 in range [0.094606, 0.189212]...	no solution exists.
	Iteration #004: testing norm threshold 0.165560 in range [0.141909, 0.189212]...	no solution exists.
	Iteration #005: testing norm threshold 0.177386 in range [0.165560, 0.189212]...	solution exists & found.
	Iteration #006: testing norm threshold 0.171473 in range [0.165560, 0.177386]...	no solution exists.
	Iteration #007: testing norm threshold 0.174430 in range [0.171473, 0.177386]...	no solution exists.
	Iteration #008: testing norm threshold 0.175908 in range [0.174430, 0.177386]...	no solution exists.
	Iteration #009: testing norm threshold 0.176647 in range [0.175908, 0.177386]...	no solution exists.
	Iteration #010: testing norm threshold 0.177016 in range [0.176647, 0.177386]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176832 in range [0.176647, 0.177017]...	solution exists & found.
	Iteration #012: testing norm threshold 0.176739 in range [0.176647, 0.176832]...	no solution exists.
	Iteration #013: testing norm threshold 0.176786 in range [0.176739, 0.176832]...	no solution exists.
	Iteration #014: testing norm threshold 0.176809 in range [0.176786, 0.176832]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176797 in range [0.176786, 0.176809]...	no solution exists.
	Iteration #016: testing norm threshold 0.176803 in range [0.176797, 0.176809]...	solution exists & found.


Factual sample: 		 {x0 : -2.77359379000678, x1 : -2.06504632964145, y: False}
Nearest counterfactual sample:	 {x0 : 1.546510695599867, x1 : -2.0650221545542378, y: True} (verified)
Minimum counterfactual distance: 0.176803
