

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


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 0.150850 in range [0.000000, 0.301700]...	no solution exists.
	Iteration #003: testing norm threshold 0.226275 in range [0.150850, 0.301700]...	no solution exists.
	Iteration #004: testing norm threshold 0.263987 in range [0.226275, 0.301700]...	solution exists & found.
	Iteration #005: testing norm threshold 0.243027 in range [0.226275, 0.259779]...	no solution exists.
	Iteration #006: testing norm threshold 0.251403 in range [0.243027, 0.259779]...	solution exists & found.
	Iteration #007: testing norm threshold 0.247215 in range [0.243027, 0.251403]...	solution exists & found.
	Iteration #008: testing norm threshold 0.245121 in range [0.243027, 0.247215]...	no solution exists.
	Iteration #009: testing norm threshold 0.246168 in range [0.245121, 0.247215]...	no solution exists.
	Iteration #010: testing norm threshold 0.246691 in range [0.246168, 0.247215]...	solution exists & found.
	Iteration #011: testing norm threshold 0.246430 in range [0.246168, 0.246691]...	solution exists & found.
	Iteration #012: testing norm threshold 0.246299 in range [0.246168, 0.246430]...	no solution exists.
	Iteration #013: testing norm threshold 0.246364 in range [0.246299, 0.246430]...	no solution exists.
	Iteration #014: testing norm threshold 0.246397 in range [0.246364, 0.246430]...	no solution exists.
	Iteration #015: testing norm threshold 0.246413 in range [0.246397, 0.246430]...	solution exists & found.
	Iteration #016: testing norm threshold 0.246405 in range [0.246397, 0.246413]...	no solution exists.


Factual sample: 		 {x0 : -1.9521193365203096, x1 : -4.170794101276131, y: False}
Nearest counterfactual sample:	 {x0 : 4.35256476003645, x1 : -4.170002964978085, y: True} (verified)
Minimum counterfactual distance: 0.246413
