

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.149712 in range [0.000000, 0.299423]...	no solution exists.
	Iteration #003: testing norm threshold 0.224567 in range [0.149712, 0.299423]...	no solution exists.
	Iteration #004: testing norm threshold 0.261995 in range [0.224567, 0.299423]...	no solution exists.
	Iteration #005: testing norm threshold 0.280709 in range [0.261995, 0.299423]...	no solution exists.
	Iteration #006: testing norm threshold 0.290066 in range [0.280709, 0.299423]...	solution exists & found.
	Iteration #007: testing norm threshold 0.285388 in range [0.280709, 0.290066]...	no solution exists.
	Iteration #008: testing norm threshold 0.287727 in range [0.285388, 0.290066]...	solution exists & found.
	Iteration #009: testing norm threshold 0.286557 in range [0.285388, 0.287727]...	no solution exists.
	Iteration #010: testing norm threshold 0.287142 in range [0.286557, 0.287727]...	solution exists & found.
	Iteration #011: testing norm threshold 0.286850 in range [0.286557, 0.287142]...	no solution exists.
	Iteration #012: testing norm threshold 0.286996 in range [0.286850, 0.287142]...	no solution exists.
	Iteration #013: testing norm threshold 0.287069 in range [0.286996, 0.287142]...	solution exists & found.
	Iteration #014: testing norm threshold 0.287033 in range [0.286996, 0.287069]...	solution exists & found.
	Iteration #015: testing norm threshold 0.287015 in range [0.286996, 0.287033]...	solution exists & found.
	Iteration #016: testing norm threshold 0.287005 in range [0.286996, 0.287015]...	no solution exists.


Factual sample: 		 {x0 : -5.323201959747702, x1 : -2.242348337537877, y: False}
Nearest counterfactual sample:	 {x0 : 1.6899088901645258, x1 : -2.242353184877417, y: True} (verified)
Minimum counterfactual distance: 0.287015
