

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


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 0.136953 in range [0.000000, 0.273906]...	no solution exists.
	Iteration #003: testing norm threshold 0.205430 in range [0.136953, 0.273906]...	solution exists & found.
	Iteration #004: testing norm threshold 0.171191 in range [0.136953, 0.205430]...	no solution exists.
	Iteration #005: testing norm threshold 0.188311 in range [0.171191, 0.205430]...	no solution exists.
	Iteration #006: testing norm threshold 0.196870 in range [0.188311, 0.205430]...	solution exists & found.
	Iteration #007: testing norm threshold 0.192590 in range [0.188311, 0.196870]...	no solution exists.
	Iteration #008: testing norm threshold 0.194730 in range [0.192590, 0.196870]...	solution exists & found.
	Iteration #009: testing norm threshold 0.193660 in range [0.192590, 0.194730]...	no solution exists.
	Iteration #010: testing norm threshold 0.194195 in range [0.193660, 0.194730]...	solution exists & found.
	Iteration #011: testing norm threshold 0.193928 in range [0.193660, 0.194195]...	solution exists & found.
	Iteration #012: testing norm threshold 0.193794 in range [0.193660, 0.193928]...	solution exists & found.
	Iteration #013: testing norm threshold 0.193727 in range [0.193660, 0.193794]...	no solution exists.
	Iteration #014: testing norm threshold 0.193761 in range [0.193727, 0.193794]...	no solution exists.
	Iteration #015: testing norm threshold 0.193778 in range [0.193761, 0.193794]...	no solution exists.
	Iteration #016: testing norm threshold 0.193786 in range [0.193778, 0.193794]...	no solution exists.


Factual sample: 		 {x0 : -3.055041704721473, x1 : -2.230301559014469, y: False}
Nearest counterfactual sample:	 {x0 : 1.6800557933591342, x1 : -2.2301093224621216, y: True} (verified)
Minimum counterfactual distance: 0.193794
