

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


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 0.160088 in range [0.000000, 0.320176]...	no solution exists.
	Iteration #003: testing norm threshold 0.240132 in range [0.160088, 0.320176]...	solution exists & found.
	Iteration #004: testing norm threshold 0.197246 in range [0.160088, 0.234404]...	no solution exists.
	Iteration #005: testing norm threshold 0.215825 in range [0.197246, 0.234404]...	no solution exists.
	Iteration #006: testing norm threshold 0.225114 in range [0.215825, 0.234404]...	solution exists & found.
	Iteration #007: testing norm threshold 0.220470 in range [0.215825, 0.225114]...	no solution exists.
	Iteration #008: testing norm threshold 0.222792 in range [0.220470, 0.225114]...	solution exists & found.
	Iteration #009: testing norm threshold 0.221631 in range [0.220470, 0.222792]...	solution exists & found.
	Iteration #010: testing norm threshold 0.221050 in range [0.220470, 0.221631]...	solution exists & found.
	Iteration #011: testing norm threshold 0.220760 in range [0.220470, 0.221050]...	no solution exists.
	Iteration #012: testing norm threshold 0.220905 in range [0.220760, 0.221050]...	no solution exists.
	Iteration #013: testing norm threshold 0.220978 in range [0.220905, 0.221050]...	no solution exists.
	Iteration #014: testing norm threshold 0.221014 in range [0.220978, 0.221050]...	solution exists & found.
	Iteration #015: testing norm threshold 0.220996 in range [0.220978, 0.221014]...	solution exists & found.
	Iteration #016: testing norm threshold 0.220987 in range [0.220978, 0.220996]...	solution exists & found.


Factual sample: 		 {x0 : -2.387727049175452, x1 : -1.76069112641354, y: False}
Nearest counterfactual sample:	 {x0 : 1.3232321962650955, x1 : -1.76069112641354, y: True} (verified)
Minimum counterfactual distance: 0.220987
