

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


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 0.146994 in range [0.000000, 0.293988]...	no solution exists.
	Iteration #003: testing norm threshold 0.220491 in range [0.146994, 0.293988]...	no solution exists.
	Iteration #004: testing norm threshold 0.257239 in range [0.220491, 0.293988]...	solution exists & found.
	Iteration #005: testing norm threshold 0.238865 in range [0.220491, 0.257239]...	no solution exists.
	Iteration #006: testing norm threshold 0.248052 in range [0.238865, 0.257239]...	no solution exists.
	Iteration #007: testing norm threshold 0.252646 in range [0.248052, 0.257239]...	solution exists & found.
	Iteration #008: testing norm threshold 0.250349 in range [0.248052, 0.252646]...	no solution exists.
	Iteration #009: testing norm threshold 0.251498 in range [0.250349, 0.252646]...	no solution exists.
	Iteration #010: testing norm threshold 0.252072 in range [0.251498, 0.252646]...	no solution exists.
	Iteration #011: testing norm threshold 0.252359 in range [0.252072, 0.252646]...	solution exists & found.
	Iteration #012: testing norm threshold 0.252215 in range [0.252072, 0.252359]...	no solution exists.
	Iteration #013: testing norm threshold 0.252287 in range [0.252215, 0.252359]...	solution exists & found.
	Iteration #014: testing norm threshold 0.252251 in range [0.252215, 0.252287]...	solution exists & found.
	Iteration #015: testing norm threshold 0.252233 in range [0.252215, 0.252251]...	solution exists & found.
	Iteration #016: testing norm threshold 0.252224 in range [0.252215, 0.252233]...	solution exists & found.


Factual sample: 		 {x0 : -3.549099845328077, x1 : -2.7486455724001244, y: False}
Nearest counterfactual sample:	 {x0 : 2.9051770410193054, x1 : -2.7486455724001244, y: True} (verified)
Minimum counterfactual distance: 0.252224
