

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


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 0.127275 in range [0.000000, 0.254551]...	no solution exists.
	Iteration #003: testing norm threshold 0.190913 in range [0.127275, 0.254551]...	solution exists & found.
	Iteration #004: testing norm threshold 0.154747 in range [0.127275, 0.182218]...	no solution exists.
	Iteration #005: testing norm threshold 0.168483 in range [0.154747, 0.182218]...	no solution exists.
	Iteration #006: testing norm threshold 0.175350 in range [0.168483, 0.182218]...	solution exists & found.
	Iteration #007: testing norm threshold 0.171917 in range [0.168483, 0.175351]...	solution exists & found.
	Iteration #008: testing norm threshold 0.170200 in range [0.168483, 0.171917]...	solution exists & found.
	Iteration #009: testing norm threshold 0.169341 in range [0.168483, 0.170200]...	no solution exists.
	Iteration #010: testing norm threshold 0.169770 in range [0.169341, 0.170200]...	no solution exists.
	Iteration #011: testing norm threshold 0.169985 in range [0.169770, 0.170200]...	no solution exists.
	Iteration #012: testing norm threshold 0.170092 in range [0.169985, 0.170200]...	solution exists & found.
	Iteration #013: testing norm threshold 0.170039 in range [0.169985, 0.170092]...	solution exists & found.
	Iteration #014: testing norm threshold 0.170012 in range [0.169985, 0.170039]...	solution exists & found.
	Iteration #015: testing norm threshold 0.169999 in range [0.169985, 0.170012]...	no solution exists.
	Iteration #016: testing norm threshold 0.170005 in range [0.169999, 0.170012]...	no solution exists.


Factual sample: 		 {x0 : -2.8533407406715323, x1 : -1.8187750752605505, y: False}
Nearest counterfactual sample:	 {x0 : 1.3007297413932206, x1 : -1.8186619347785953, y: True} (verified)
Minimum counterfactual distance: 0.170012
