

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


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 0.163348 in range [0.000000, 0.326695]...	no solution exists.
	Iteration #003: testing norm threshold 0.245021 in range [0.163348, 0.326695]...	solution exists & found.
	Iteration #004: testing norm threshold 0.201262 in range [0.163348, 0.239177]...	no solution exists.
	Iteration #005: testing norm threshold 0.220219 in range [0.201262, 0.239177]...	no solution exists.
	Iteration #006: testing norm threshold 0.229698 in range [0.220219, 0.239177]...	solution exists & found.
	Iteration #007: testing norm threshold 0.224959 in range [0.220219, 0.229698]...	no solution exists.
	Iteration #008: testing norm threshold 0.227328 in range [0.224959, 0.229698]...	solution exists & found.
	Iteration #009: testing norm threshold 0.226144 in range [0.224959, 0.227329]...	solution exists & found.
	Iteration #010: testing norm threshold 0.225551 in range [0.224959, 0.226144]...	no solution exists.
	Iteration #011: testing norm threshold 0.225848 in range [0.225551, 0.226144]...	solution exists & found.
	Iteration #012: testing norm threshold 0.225699 in range [0.225551, 0.225848]...	no solution exists.
	Iteration #013: testing norm threshold 0.225774 in range [0.225699, 0.225848]...	solution exists & found.
	Iteration #014: testing norm threshold 0.225737 in range [0.225699, 0.225774]...	no solution exists.
	Iteration #015: testing norm threshold 0.225755 in range [0.225737, 0.225774]...	no solution exists.
	Iteration #016: testing norm threshold 0.225764 in range [0.225755, 0.225774]...	solution exists & found.


Factual sample: 		 {x0 : -2.557330682569078, x1 : -1.647189096290551, y: False}
Nearest counterfactual sample:	 {x0 : 1.2336376691146964, x1 : -1.646987238861428, y: True} (verified)
Minimum counterfactual distance: 0.225764
