

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


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 0.134270 in range [0.000000, 0.268539]...	no solution exists.
	Iteration #003: testing norm threshold 0.201404 in range [0.134270, 0.268539]...	no solution exists.
	Iteration #004: testing norm threshold 0.234972 in range [0.201404, 0.268539]...	no solution exists.
	Iteration #005: testing norm threshold 0.251756 in range [0.234972, 0.268539]...	no solution exists.
	Iteration #006: testing norm threshold 0.260147 in range [0.251756, 0.268539]...	solution exists & found.
	Iteration #007: testing norm threshold 0.255952 in range [0.251756, 0.260148]...	solution exists & found.
	Iteration #008: testing norm threshold 0.253854 in range [0.251756, 0.255952]...	no solution exists.
	Iteration #009: testing norm threshold 0.254903 in range [0.253854, 0.255952]...	no solution exists.
	Iteration #010: testing norm threshold 0.255427 in range [0.254903, 0.255952]...	solution exists & found.
	Iteration #011: testing norm threshold 0.255165 in range [0.254903, 0.255427]...	solution exists & found.
	Iteration #012: testing norm threshold 0.255034 in range [0.254903, 0.255165]...	no solution exists.
	Iteration #013: testing norm threshold 0.255099 in range [0.255034, 0.255165]...	no solution exists.
	Iteration #014: testing norm threshold 0.255132 in range [0.255099, 0.255165]...	solution exists & found.
	Iteration #015: testing norm threshold 0.255116 in range [0.255099, 0.255132]...	no solution exists.
	Iteration #016: testing norm threshold 0.255124 in range [0.255116, 0.255132]...	solution exists & found.


Factual sample: 		 {x0 : -2.644555570838272, x1 : -2.162149853491357, y: False}
Nearest counterfactual sample:	 {x0 : 1.639658140108586, x1 : -2.162149853491357, y: True} (verified)
Minimum counterfactual distance: 0.255124
