

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 1587932065655227/281474976710656}},
 'interventional': {'x0': {'lower_bound': -3316695502054911/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 848307393234917/140737488355328},
                    'x1': {'lower_bound': -3393123934853283/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 1587932065655227/281474976710656}},
 '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 0.126194 in range [0.000000, 0.252388]...	no solution exists.
	Iteration #003: testing norm threshold 0.189291 in range [0.126194, 0.252388]...	no solution exists.
	Iteration #004: testing norm threshold 0.220839 in range [0.189291, 0.252388]...	solution exists & found.
	Iteration #005: testing norm threshold 0.205065 in range [0.189291, 0.220839]...	solution exists & found.
	Iteration #006: testing norm threshold 0.196861 in range [0.189291, 0.204432]...	solution exists & found.
	Iteration #007: testing norm threshold 0.193076 in range [0.189291, 0.196862]...	solution exists & found.
	Iteration #008: testing norm threshold 0.191183 in range [0.189291, 0.193076]...	no solution exists.
	Iteration #009: testing norm threshold 0.192130 in range [0.191183, 0.193076]...	solution exists & found.
	Iteration #010: testing norm threshold 0.191657 in range [0.191183, 0.192130]...	solution exists & found.
	Iteration #011: testing norm threshold 0.191420 in range [0.191183, 0.191657]...	no solution exists.
	Iteration #012: testing norm threshold 0.191538 in range [0.191420, 0.191657]...	solution exists & found.
	Iteration #013: testing norm threshold 0.191479 in range [0.191420, 0.191539]...	no solution exists.
	Iteration #014: testing norm threshold 0.191509 in range [0.191479, 0.191539]...	solution exists & found.
	Iteration #015: testing norm threshold 0.191494 in range [0.191479, 0.191509]...	no solution exists.
	Iteration #016: testing norm threshold 0.191502 in range [0.191494, 0.191509]...	no solution exists.


Factual sample: 		 {x0 : -3.1452108199752757, x1 : -1.6382536760326978, y: False}
Nearest counterfactual sample:	 {x0 : 1.4200025247686985, x1 : -1.63819363185292, y: True} (verified)
Minimum counterfactual distance: 0.191509
