

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


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 0.126233 in range [0.000000, 0.252467]...	no solution exists.
	Iteration #003: testing norm threshold 0.189350 in range [0.126233, 0.252467]...	no solution exists.
	Iteration #004: testing norm threshold 0.220908 in range [0.189350, 0.252467]...	no solution exists.
	Iteration #005: testing norm threshold 0.236688 in range [0.220908, 0.252467]...	no solution exists.
	Iteration #006: testing norm threshold 0.244577 in range [0.236688, 0.252467]...	solution exists & found.
	Iteration #007: testing norm threshold 0.240632 in range [0.236688, 0.244577]...	solution exists & found.
	Iteration #008: testing norm threshold 0.238660 in range [0.236688, 0.240633]...	no solution exists.
	Iteration #009: testing norm threshold 0.239646 in range [0.238660, 0.240633]...	no solution exists.
	Iteration #010: testing norm threshold 0.240139 in range [0.239646, 0.240633]...	solution exists & found.
	Iteration #011: testing norm threshold 0.239893 in range [0.239646, 0.240140]...	no solution exists.
	Iteration #012: testing norm threshold 0.240016 in range [0.239893, 0.240140]...	no solution exists.
	Iteration #013: testing norm threshold 0.240078 in range [0.240016, 0.240140]...	solution exists & found.
	Iteration #014: testing norm threshold 0.240047 in range [0.240016, 0.240078]...	no solution exists.
	Iteration #015: testing norm threshold 0.240063 in range [0.240047, 0.240078]...	solution exists & found.
	Iteration #016: testing norm threshold 0.240055 in range [0.240047, 0.240063]...	no solution exists.


Factual sample: 		 {x0 : -2.990252188151713, x1 : -3.7084442725369526, y: False}
Nearest counterfactual sample:	 {x0 : 2.8753617450757, x1 : -3.7082177322281726, y: True} (verified)
Minimum counterfactual distance: 0.240063
