

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


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 0.142196 in range [0.000000, 0.284392]...	no solution exists.
	Iteration #003: testing norm threshold 0.213294 in range [0.142196, 0.284392]...	no solution exists.
	Iteration #004: testing norm threshold 0.248843 in range [0.213294, 0.284392]...	solution exists & found.
	Iteration #005: testing norm threshold 0.221825 in range [0.213294, 0.230356]...	solution exists & found.
	Iteration #006: testing norm threshold 0.217560 in range [0.213294, 0.221825]...	solution exists & found.
	Iteration #007: testing norm threshold 0.215427 in range [0.213294, 0.217560]...	no solution exists.
	Iteration #008: testing norm threshold 0.216493 in range [0.215427, 0.217560]...	no solution exists.
	Iteration #009: testing norm threshold 0.217026 in range [0.216493, 0.217560]...	no solution exists.
	Iteration #010: testing norm threshold 0.217293 in range [0.217026, 0.217560]...	no solution exists.
	Iteration #011: testing norm threshold 0.217426 in range [0.217293, 0.217560]...	no solution exists.
	Iteration #012: testing norm threshold 0.217493 in range [0.217426, 0.217560]...	solution exists & found.
	Iteration #013: testing norm threshold 0.217460 in range [0.217426, 0.217493]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217443 in range [0.217426, 0.217460]...	solution exists & found.
	Iteration #015: testing norm threshold 0.217435 in range [0.217426, 0.217443]...	solution exists & found.


Factual sample: 		 {x0 : -2.6518015961716146, x1 : -2.9815233978856077, y: False}
Nearest counterfactual sample:	 {x0 : 2.5314709214986926, x1 : -2.9815555996133383, y: True} (verified)
Minimum counterfactual distance: 0.217435
