

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


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 0.136110 in range [0.000000, 0.272221]...	no solution exists.
	Iteration #003: testing norm threshold 0.204165 in range [0.136110, 0.272221]...	no solution exists.
	Iteration #004: testing norm threshold 0.238193 in range [0.204165, 0.272221]...	no solution exists.
	Iteration #005: testing norm threshold 0.255207 in range [0.238193, 0.272221]...	no solution exists.
	Iteration #006: testing norm threshold 0.263714 in range [0.255207, 0.272221]...	solution exists & found.
	Iteration #007: testing norm threshold 0.259460 in range [0.255207, 0.263714]...	solution exists & found.
	Iteration #008: testing norm threshold 0.257334 in range [0.255207, 0.259460]...	no solution exists.
	Iteration #009: testing norm threshold 0.258397 in range [0.257334, 0.259460]...	no solution exists.
	Iteration #010: testing norm threshold 0.258929 in range [0.258397, 0.259460]...	solution exists & found.
	Iteration #011: testing norm threshold 0.258663 in range [0.258397, 0.258929]...	no solution exists.
	Iteration #012: testing norm threshold 0.258796 in range [0.258663, 0.258929]...	no solution exists.
	Iteration #013: testing norm threshold 0.258862 in range [0.258796, 0.258929]...	solution exists & found.
	Iteration #014: testing norm threshold 0.258829 in range [0.258796, 0.258862]...	solution exists & found.
	Iteration #015: testing norm threshold 0.258812 in range [0.258796, 0.258829]...	solution exists & found.
	Iteration #016: testing norm threshold 0.258804 in range [0.258796, 0.258813]...	solution exists & found.


Factual sample: 		 {x0 : -2.3569877999571327, x1 : -2.605464792067953, y: False}
Nearest counterfactual sample:	 {x0 : 1.988932724602771, x1 : -2.6053800021093387, y: True} (verified)
Minimum counterfactual distance: 0.258804
