

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


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 0.115180 in range [0.000000, 0.230360]...	no solution exists.
	Iteration #003: testing norm threshold 0.172770 in range [0.115180, 0.230360]...	no solution exists.
	Iteration #004: testing norm threshold 0.201565 in range [0.172770, 0.230360]...	no solution exists.
	Iteration #005: testing norm threshold 0.215963 in range [0.201565, 0.230360]...	no solution exists.
	Iteration #006: testing norm threshold 0.223162 in range [0.215963, 0.230360]...	solution exists & found.
	Iteration #007: testing norm threshold 0.219562 in range [0.215963, 0.223162]...	solution exists & found.
	Iteration #008: testing norm threshold 0.217763 in range [0.215963, 0.219562]...	solution exists & found.
	Iteration #009: testing norm threshold 0.216863 in range [0.215963, 0.217763]...	no solution exists.
	Iteration #010: testing norm threshold 0.217313 in range [0.216863, 0.217763]...	solution exists & found.
	Iteration #011: testing norm threshold 0.217088 in range [0.216863, 0.217313]...	solution exists & found.
	Iteration #012: testing norm threshold 0.216975 in range [0.216863, 0.217088]...	no solution exists.
	Iteration #013: testing norm threshold 0.217032 in range [0.216975, 0.217088]...	solution exists & found.
	Iteration #014: testing norm threshold 0.217004 in range [0.216975, 0.217032]...	solution exists & found.
	Iteration #015: testing norm threshold 0.216990 in range [0.216975, 0.217004]...	solution exists & found.
	Iteration #016: testing norm threshold 0.216983 in range [0.216975, 0.216990]...	no solution exists.


Factual sample: 		 {x0 : -2.8768354806979124, x1 : -2.523430371761448, y: False}
Nearest counterfactual sample:	 {x0 : 2.675646280446582, x1 : -2.523291183025355, y: True} (verified)
Minimum counterfactual distance: 0.216990
