

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


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 0.103442 in range [0.000000, 0.206884]...	no solution exists.
	Iteration #003: testing norm threshold 0.155163 in range [0.103442, 0.206884]...	no solution exists.
	Iteration #004: testing norm threshold 0.181024 in range [0.155163, 0.206884]...	no solution exists.
	Iteration #005: testing norm threshold 0.193954 in range [0.181024, 0.206884]...	solution exists & found.
	Iteration #006: testing norm threshold 0.187489 in range [0.181024, 0.193954]...	no solution exists.
	Iteration #007: testing norm threshold 0.190722 in range [0.187489, 0.193954]...	no solution exists.
	Iteration #008: testing norm threshold 0.192338 in range [0.190722, 0.193954]...	no solution exists.
	Iteration #009: testing norm threshold 0.193146 in range [0.192338, 0.193954]...	no solution exists.
	Iteration #010: testing norm threshold 0.193550 in range [0.193146, 0.193954]...	solution exists & found.
	Iteration #011: testing norm threshold 0.193348 in range [0.193146, 0.193550]...	no solution exists.
	Iteration #012: testing norm threshold 0.193449 in range [0.193348, 0.193550]...	no solution exists.
	Iteration #013: testing norm threshold 0.193500 in range [0.193449, 0.193550]...	no solution exists.
	Iteration #014: testing norm threshold 0.193525 in range [0.193500, 0.193550]...	solution exists & found.
	Iteration #015: testing norm threshold 0.193512 in range [0.193500, 0.193525]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193506 in range [0.193500, 0.193512]...	no solution exists.


Factual sample: 		 {x0 : -1.6888541587044583, x1 : -3.100115965956691, y: False}
Nearest counterfactual sample:	 {x0 : 3.263014294022693, x1 : -3.100115965956691, y: True} (verified)
Minimum counterfactual distance: 0.193512
