

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


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 0.184831 in range [0.000000, 0.369663]...	no solution exists.
	Iteration #003: testing norm threshold 0.277247 in range [0.184831, 0.369663]...	solution exists & found.
	Iteration #004: testing norm threshold 0.231039 in range [0.184831, 0.277247]...	no solution exists.
	Iteration #005: testing norm threshold 0.254143 in range [0.231039, 0.277247]...	no solution exists.
	Iteration #006: testing norm threshold 0.265695 in range [0.254143, 0.277247]...	solution exists & found.
	Iteration #007: testing norm threshold 0.259919 in range [0.254143, 0.265695]...	solution exists & found.
	Iteration #008: testing norm threshold 0.257031 in range [0.254143, 0.259919]...	no solution exists.
	Iteration #009: testing norm threshold 0.258475 in range [0.257031, 0.259919]...	solution exists & found.
	Iteration #010: testing norm threshold 0.257753 in range [0.257031, 0.258475]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257392 in range [0.257031, 0.257753]...	solution exists & found.
	Iteration #012: testing norm threshold 0.257212 in range [0.257031, 0.257392]...	no solution exists.
	Iteration #013: testing norm threshold 0.257302 in range [0.257212, 0.257392]...	solution exists & found.
	Iteration #014: testing norm threshold 0.257257 in range [0.257212, 0.257302]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257234 in range [0.257212, 0.257257]...	solution exists & found.
	Iteration #016: testing norm threshold 0.257223 in range [0.257212, 0.257235]...	solution exists & found.
	Iteration #017: testing norm threshold 0.257217 in range [0.257212, 0.257223]...	solution exists & found.


Factual sample: 		 {x0 : -2.7419027897535515, x1 : -2.0832532232341303, y: False}
Nearest counterfactual sample:	 {x0 : 1.5774642746459087, x1 : -2.0832532232341303, y: True} (verified)
Minimum counterfactual distance: 0.257217
