

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


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 0.108719 in range [0.000000, 0.217438]...	no solution exists.
	Iteration #003: testing norm threshold 0.163078 in range [0.108719, 0.217438]...	solution exists & found.
	Iteration #004: testing norm threshold 0.135899 in range [0.108719, 0.163078]...	no solution exists.
	Iteration #005: testing norm threshold 0.149488 in range [0.135899, 0.163078]...	solution exists & found.
	Iteration #006: testing norm threshold 0.142694 in range [0.135899, 0.149489]...	no solution exists.
	Iteration #007: testing norm threshold 0.146091 in range [0.142694, 0.149489]...	no solution exists.
	Iteration #008: testing norm threshold 0.147790 in range [0.146091, 0.149489]...	no solution exists.
	Iteration #009: testing norm threshold 0.148639 in range [0.147790, 0.149489]...	solution exists & found.
	Iteration #010: testing norm threshold 0.148215 in range [0.147790, 0.148639]...	no solution exists.
	Iteration #011: testing norm threshold 0.148427 in range [0.148215, 0.148639]...	no solution exists.
	Iteration #012: testing norm threshold 0.148533 in range [0.148427, 0.148639]...	solution exists & found.
	Iteration #013: testing norm threshold 0.148480 in range [0.148427, 0.148533]...	no solution exists.
	Iteration #014: testing norm threshold 0.148507 in range [0.148480, 0.148533]...	solution exists & found.
	Iteration #015: testing norm threshold 0.148493 in range [0.148480, 0.148507]...	no solution exists.
	Iteration #016: testing norm threshold 0.148500 in range [0.148493, 0.148507]...	solution exists & found.


Factual sample: 		 {x0 : -1.6879712177630266, x1 : -1.1041111360850435, y: False}
Nearest counterfactual sample:	 {x0 : 0.8057344844296265, x1 : -1.1041165596264557, y: True} (verified)
Minimum counterfactual distance: 0.148500
