

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


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 0.145270 in range [0.000000, 0.290540]...	no solution exists.
	Iteration #003: testing norm threshold 0.217905 in range [0.145270, 0.290540]...	solution exists & found.
	Iteration #004: testing norm threshold 0.181588 in range [0.145270, 0.217905]...	no solution exists.
	Iteration #005: testing norm threshold 0.199747 in range [0.181588, 0.217905]...	solution exists & found.
	Iteration #006: testing norm threshold 0.190667 in range [0.181588, 0.199747]...	no solution exists.
	Iteration #007: testing norm threshold 0.195207 in range [0.190667, 0.199747]...	no solution exists.
	Iteration #008: testing norm threshold 0.197477 in range [0.195207, 0.199747]...	no solution exists.
	Iteration #009: testing norm threshold 0.198612 in range [0.197477, 0.199747]...	no solution exists.
	Iteration #010: testing norm threshold 0.199179 in range [0.198612, 0.199747]...	no solution exists.
	Iteration #011: testing norm threshold 0.199463 in range [0.199179, 0.199747]...	solution exists & found.
	Iteration #012: testing norm threshold 0.199321 in range [0.199179, 0.199463]...	solution exists & found.
	Iteration #013: testing norm threshold 0.199250 in range [0.199179, 0.199321]...	no solution exists.
	Iteration #014: testing norm threshold 0.199286 in range [0.199250, 0.199321]...	no solution exists.
	Iteration #015: testing norm threshold 0.199303 in range [0.199286, 0.199321]...	solution exists & found.
	Iteration #016: testing norm threshold 0.199295 in range [0.199286, 0.199304]...	solution exists & found.


Factual sample: 		 {x0 : -2.2418719584327493, x1 : -1.4834674111590318, y: False}
Nearest counterfactual sample:	 {x0 : 1.1046110882689806, x1 : -1.4832771736144765, y: True} (verified)
Minimum counterfactual distance: 0.199295
