

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


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 0.112986 in range [0.000000, 0.225973]...	no solution exists.
	Iteration #003: testing norm threshold 0.169479 in range [0.112986, 0.225973]...	no solution exists.
	Iteration #004: testing norm threshold 0.197726 in range [0.169479, 0.225973]...	no solution exists.
	Iteration #005: testing norm threshold 0.211849 in range [0.197726, 0.225973]...	no solution exists.
	Iteration #006: testing norm threshold 0.218911 in range [0.211849, 0.225973]...	solution exists & found.
	Iteration #007: testing norm threshold 0.215380 in range [0.211849, 0.218911]...	solution exists & found.
	Iteration #008: testing norm threshold 0.213615 in range [0.211849, 0.215380]...	solution exists & found.
	Iteration #009: testing norm threshold 0.212732 in range [0.211849, 0.213615]...	solution exists & found.
	Iteration #010: testing norm threshold 0.212291 in range [0.211849, 0.212732]...	no solution exists.
	Iteration #011: testing norm threshold 0.212511 in range [0.212291, 0.212732]...	no solution exists.
	Iteration #012: testing norm threshold 0.212622 in range [0.212511, 0.212732]...	solution exists & found.
	Iteration #013: testing norm threshold 0.212567 in range [0.212511, 0.212622]...	solution exists & found.
	Iteration #014: testing norm threshold 0.212539 in range [0.212511, 0.212567]...	no solution exists.
	Iteration #015: testing norm threshold 0.212553 in range [0.212539, 0.212567]...	no solution exists.
	Iteration #016: testing norm threshold 0.212560 in range [0.212553, 0.212567]...	solution exists & found.


Factual sample: 		 {x0 : -1.8730901094187344, x1 : -2.234038005656057, y: False}
Nearest counterfactual sample:	 {x0 : 1.6963561125101263, x1 : -2.234038005656057, y: True} (verified)
Minimum counterfactual distance: 0.212560
