

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


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 0.126144 in range [0.000000, 0.252288]...	no solution exists.
	Iteration #003: testing norm threshold 0.189216 in range [0.126144, 0.252288]...	no solution exists.
	Iteration #004: testing norm threshold 0.220752 in range [0.189216, 0.252288]...	no solution exists.
	Iteration #005: testing norm threshold 0.236520 in range [0.220752, 0.252288]...	no solution exists.
	Iteration #006: testing norm threshold 0.244404 in range [0.236520, 0.252288]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240462 in range [0.236520, 0.244404]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238491 in range [0.236520, 0.240462]...	no solution exists.
	Iteration #009: testing norm threshold 0.239476 in range [0.238491, 0.240462]...	no solution exists.
	Iteration #010: testing norm threshold 0.239969 in range [0.239476, 0.240462]...	solution exists & found.
	Iteration #011: testing norm threshold 0.239723 in range [0.239476, 0.239969]...	no solution exists.
	Iteration #012: testing norm threshold 0.239846 in range [0.239723, 0.239969]...	no solution exists.
	Iteration #013: testing norm threshold 0.239908 in range [0.239846, 0.239969]...	solution exists & found.
	Iteration #014: testing norm threshold 0.239877 in range [0.239846, 0.239908]...	no solution exists.
	Iteration #015: testing norm threshold 0.239892 in range [0.239877, 0.239908]...	solution exists & found.
	Iteration #016: testing norm threshold 0.239885 in range [0.239877, 0.239892]...	solution exists & found.


Factual sample: 		 {x0 : -3.623645525643665, x1 : -2.9197782226062605, y: False}
Nearest counterfactual sample:	 {x0 : 2.2378649104626, x1 : -2.9197782226062605, y: True} (verified)
Minimum counterfactual distance: 0.239885
