

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


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 0.100992 in range [0.000000, 0.201984]...	no solution exists.
	Iteration #003: testing norm threshold 0.151488 in range [0.100992, 0.201984]...	solution exists & found.
	Iteration #004: testing norm threshold 0.124433 in range [0.100992, 0.147875]...	no solution exists.
	Iteration #005: testing norm threshold 0.136154 in range [0.124433, 0.147875]...	solution exists & found.
	Iteration #006: testing norm threshold 0.130294 in range [0.124433, 0.136154]...	no solution exists.
	Iteration #007: testing norm threshold 0.133224 in range [0.130294, 0.136154]...	no solution exists.
	Iteration #008: testing norm threshold 0.134689 in range [0.133224, 0.136154]...	solution exists & found.
	Iteration #009: testing norm threshold 0.133956 in range [0.133224, 0.134689]...	no solution exists.
	Iteration #010: testing norm threshold 0.134323 in range [0.133956, 0.134689]...	no solution exists.
	Iteration #011: testing norm threshold 0.134506 in range [0.134323, 0.134689]...	solution exists & found.
	Iteration #012: testing norm threshold 0.134414 in range [0.134323, 0.134506]...	no solution exists.
	Iteration #013: testing norm threshold 0.134460 in range [0.134414, 0.134506]...	solution exists & found.
	Iteration #014: testing norm threshold 0.134437 in range [0.134414, 0.134460]...	no solution exists.
	Iteration #015: testing norm threshold 0.134449 in range [0.134437, 0.134460]...	no solution exists.
	Iteration #016: testing norm threshold 0.134455 in range [0.134449, 0.134460]...	no solution exists.


Factual sample: 		 {x0 : -1.004891178827634, x1 : -1.6715917008416918, y: False}
Nearest counterfactual sample:	 {x0 : 1.2528995721743235, x1 : -1.671449303847304, y: True} (verified)
Minimum counterfactual distance: 0.134460
