

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


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 0.140636 in range [0.000000, 0.281271]...	no solution exists.
	Iteration #003: testing norm threshold 0.210953 in range [0.140636, 0.281271]...	no solution exists.
	Iteration #004: testing norm threshold 0.246112 in range [0.210953, 0.281271]...	no solution exists.
	Iteration #005: testing norm threshold 0.263692 in range [0.246112, 0.281271]...	no solution exists.
	Iteration #006: testing norm threshold 0.272482 in range [0.263692, 0.281271]...	solution exists & found.
	Iteration #007: testing norm threshold 0.268087 in range [0.263692, 0.272482]...	solution exists & found.
	Iteration #008: testing norm threshold 0.265889 in range [0.263692, 0.268087]...	no solution exists.
	Iteration #009: testing norm threshold 0.266988 in range [0.265889, 0.268087]...	no solution exists.
	Iteration #010: testing norm threshold 0.267537 in range [0.266988, 0.268087]...	no solution exists.
	Iteration #011: testing norm threshold 0.267812 in range [0.267537, 0.268087]...	no solution exists.
	Iteration #012: testing norm threshold 0.267949 in range [0.267812, 0.268087]...	solution exists & found.
	Iteration #013: testing norm threshold 0.267881 in range [0.267812, 0.267950]...	solution exists & found.
	Iteration #014: testing norm threshold 0.267847 in range [0.267812, 0.267881]...	no solution exists.
	Iteration #015: testing norm threshold 0.267864 in range [0.267847, 0.267881]...	solution exists & found.
	Iteration #016: testing norm threshold 0.267855 in range [0.267847, 0.267864]...	solution exists & found.


Factual sample: 		 {x0 : -2.318442134070187, x1 : -2.847219850078798, y: False}
Nearest counterfactual sample:	 {x0 : 2.1794608211588375, x1 : -2.8471270992036044, y: True} (verified)
Minimum counterfactual distance: 0.267855
