

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_counterfactual,
                           'upper_bound': 8913627213352543/2251799813685248}},
 'interventional': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_interventional,
                           'upper_bound': 8913627213352543/2251799813685248}},
 '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 0.226615 in range [0.000000, 0.453231]...	no solution exists.
	Iteration #003: testing norm threshold 0.339923 in range [0.226615, 0.453231]...	solution exists & found.
	Iteration #004: testing norm threshold 0.283269 in range [0.226615, 0.339923]...	no solution exists.
	Iteration #005: testing norm threshold 0.311596 in range [0.283269, 0.339923]...	no solution exists.
	Iteration #006: testing norm threshold 0.325760 in range [0.311596, 0.339923]...	no solution exists.
	Iteration #007: testing norm threshold 0.332841 in range [0.325760, 0.339923]...	solution exists & found.
	Iteration #008: testing norm threshold 0.329301 in range [0.325760, 0.332842]...	no solution exists.
	Iteration #009: testing norm threshold 0.331071 in range [0.329301, 0.332842]...	no solution exists.
	Iteration #010: testing norm threshold 0.331956 in range [0.331071, 0.332842]...	no solution exists.
	Iteration #011: testing norm threshold 0.332399 in range [0.331956, 0.332842]...	solution exists & found.
	Iteration #012: testing norm threshold 0.332178 in range [0.331956, 0.332399]...	solution exists & found.
	Iteration #013: testing norm threshold 0.332067 in range [0.331956, 0.332178]...	solution exists & found.
	Iteration #014: testing norm threshold 0.332012 in range [0.331956, 0.332067]...	solution exists & found.
	Iteration #015: testing norm threshold 0.331984 in range [0.331956, 0.332012]...	solution exists & found.
	Iteration #016: testing norm threshold 0.331970 in range [0.331956, 0.331984]...	no solution exists.
	Iteration #017: testing norm threshold 0.331977 in range [0.331970, 0.331984]...	solution exists & found.


Factual sample: 		 {x0 : -3.8098514304577913, x1 : -2.321064605085474, y: False}
Nearest counterfactual sample:	 {x0 : 1.7647498584823629, x1 : -2.3208971746133655, y: True} (verified)
Minimum counterfactual distance: 0.331977
