

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


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 0.126202 in range [0.000000, 0.252405]...	no solution exists.
	Iteration #003: testing norm threshold 0.189304 in range [0.126202, 0.252405]...	no solution exists.
	Iteration #004: testing norm threshold 0.220854 in range [0.189304, 0.252405]...	no solution exists.
	Iteration #005: testing norm threshold 0.236630 in range [0.220854, 0.252405]...	no solution exists.
	Iteration #006: testing norm threshold 0.244517 in range [0.236630, 0.252405]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240573 in range [0.236630, 0.244517]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238602 in range [0.236630, 0.240574]...	no solution exists.
	Iteration #009: testing norm threshold 0.239588 in range [0.238602, 0.240574]...	no solution exists.
	Iteration #010: testing norm threshold 0.240081 in range [0.239588, 0.240574]...	solution exists & found.
	Iteration #011: testing norm threshold 0.239834 in range [0.239588, 0.240081]...	no solution exists.
	Iteration #012: testing norm threshold 0.239957 in range [0.239834, 0.240081]...	no solution exists.
	Iteration #013: testing norm threshold 0.240019 in range [0.239957, 0.240081]...	solution exists & found.
	Iteration #014: testing norm threshold 0.239988 in range [0.239957, 0.240019]...	no solution exists.
	Iteration #015: testing norm threshold 0.240004 in range [0.239988, 0.240019]...	solution exists & found.
	Iteration #016: testing norm threshold 0.239996 in range [0.239988, 0.240004]...	solution exists & found.


Factual sample: 		 {x0 : -3.376953567156682, x1 : -3.2283765263561093, y: False}
Nearest counterfactual sample:	 {x0 : 2.487262568967318, x1 : -3.2283627447718977, y: True} (verified)
Minimum counterfactual distance: 0.239996
