

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.087461 in range [0.000000, 0.174922]...	no solution exists.
	Iteration #003: testing norm threshold 0.131192 in range [0.087461, 0.174922]...	no solution exists.
	Iteration #004: testing norm threshold 0.153057 in range [0.131192, 0.174922]...	no solution exists.
	Iteration #005: testing norm threshold 0.163990 in range [0.153057, 0.174922]...	solution exists & found.
	Iteration #006: testing norm threshold 0.158524 in range [0.153057, 0.163990]...	solution exists & found.
	Iteration #007: testing norm threshold 0.155790 in range [0.153057, 0.158524]...	solution exists & found.
	Iteration #008: testing norm threshold 0.154424 in range [0.153057, 0.155791]...	no solution exists.
	Iteration #009: testing norm threshold 0.155107 in range [0.154424, 0.155791]...	solution exists & found.
	Iteration #010: testing norm threshold 0.154766 in range [0.154424, 0.155107]...	solution exists & found.
	Iteration #011: testing norm threshold 0.154595 in range [0.154424, 0.154766]...	solution exists & found.
	Iteration #012: testing norm threshold 0.154509 in range [0.154424, 0.154595]...	no solution exists.
	Iteration #013: testing norm threshold 0.154552 in range [0.154509, 0.154595]...	solution exists & found.
	Iteration #014: testing norm threshold 0.154531 in range [0.154509, 0.154552]...	solution exists & found.
	Iteration #015: testing norm threshold 0.154520 in range [0.154509, 0.154531]...	solution exists & found.
	Iteration #016: testing norm threshold 0.154515 in range [0.154509, 0.154520]...	solution exists & found.


Factual sample: 		 {x0 : -2.611598948536187, x1 : -1.213921748890388, y: False}
Nearest counterfactual sample:	 {x0 : 1.3421087723297178, x1 : -1.21371200770771, y: True} (verified)
Minimum counterfactual distance: 0.154515
