

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


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 0.220471 in range [0.000000, 0.440941]...	no solution exists.
	Iteration #003: testing norm threshold 0.330706 in range [0.220471, 0.440941]...	solution exists & found.
	Iteration #004: testing norm threshold 0.245857 in range [0.220471, 0.271244]...	no solution exists.
	Iteration #005: testing norm threshold 0.258551 in range [0.245857, 0.271244]...	solution exists & found.
	Iteration #006: testing norm threshold 0.252204 in range [0.245857, 0.258551]...	no solution exists.
	Iteration #007: testing norm threshold 0.255377 in range [0.252204, 0.258551]...	no solution exists.
	Iteration #008: testing norm threshold 0.256964 in range [0.255377, 0.258551]...	no solution exists.
	Iteration #009: testing norm threshold 0.257757 in range [0.256964, 0.258551]...	no solution exists.
	Iteration #010: testing norm threshold 0.258154 in range [0.257757, 0.258551]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257956 in range [0.257757, 0.258154]...	solution exists & found.
	Iteration #012: testing norm threshold 0.257857 in range [0.257757, 0.257956]...	solution exists & found.
	Iteration #013: testing norm threshold 0.257807 in range [0.257757, 0.257857]...	no solution exists.
	Iteration #014: testing norm threshold 0.257832 in range [0.257807, 0.257857]...	solution exists & found.
	Iteration #015: testing norm threshold 0.257819 in range [0.257807, 0.257832]...	no solution exists.
	Iteration #016: testing norm threshold 0.257826 in range [0.257819, 0.257832]...	solution exists & found.


Factual sample: 		 {x0 : -2.1519460559463024, x1 : -2.844820868065342, y: False}
Nearest counterfactual sample:	 {x0 : 2.177600884512649, x1 : -2.8447896495435234, y: True} (verified)
Minimum counterfactual distance: 0.257826
