

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


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 0.083711 in range [0.000000, 0.167423]...	no solution exists.
	Iteration #003: testing norm threshold 0.125567 in range [0.083711, 0.167423]...	solution exists & found.
	Iteration #004: testing norm threshold 0.104607 in range [0.083711, 0.125502]...	no solution exists.
	Iteration #005: testing norm threshold 0.115054 in range [0.104607, 0.125502]...	solution exists & found.
	Iteration #006: testing norm threshold 0.109831 in range [0.104607, 0.115054]...	no solution exists.
	Iteration #007: testing norm threshold 0.112443 in range [0.109831, 0.115054]...	solution exists & found.
	Iteration #008: testing norm threshold 0.111137 in range [0.109831, 0.112443]...	no solution exists.
	Iteration #009: testing norm threshold 0.111790 in range [0.111137, 0.112443]...	no solution exists.
	Iteration #010: testing norm threshold 0.112116 in range [0.111790, 0.112443]...	no solution exists.
	Iteration #011: testing norm threshold 0.112279 in range [0.112116, 0.112443]...	solution exists & found.
	Iteration #012: testing norm threshold 0.112198 in range [0.112116, 0.112279]...	solution exists & found.
	Iteration #013: testing norm threshold 0.112157 in range [0.112116, 0.112198]...	solution exists & found.
	Iteration #014: testing norm threshold 0.112137 in range [0.112116, 0.112157]...	solution exists & found.
	Iteration #015: testing norm threshold 0.112126 in range [0.112116, 0.112137]...	no solution exists.
	Iteration #016: testing norm threshold 0.112132 in range [0.112126, 0.112137]...	solution exists & found.


Factual sample: 		 {x0 : -0.6498358856545177, x1 : -2.0753609351445124, y: False}
Nearest counterfactual sample:	 {x0 : 2.2193272600387526, x1 : -2.075167131679756, y: True} (verified)
Minimum counterfactual distance: 0.112132
