

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


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 0.177803 in range [0.000000, 0.355607]...	no solution exists.
	Iteration #003: testing norm threshold 0.266705 in range [0.177803, 0.355607]...	solution exists & found.
	Iteration #004: testing norm threshold 0.217483 in range [0.177803, 0.257164]...	solution exists & found.
	Iteration #005: testing norm threshold 0.197643 in range [0.177803, 0.217484]...	no solution exists.
	Iteration #006: testing norm threshold 0.207564 in range [0.197643, 0.217484]...	solution exists & found.
	Iteration #007: testing norm threshold 0.202604 in range [0.197643, 0.207564]...	no solution exists.
	Iteration #008: testing norm threshold 0.205084 in range [0.202604, 0.207564]...	no solution exists.
	Iteration #009: testing norm threshold 0.206324 in range [0.205084, 0.207564]...	no solution exists.
	Iteration #010: testing norm threshold 0.206944 in range [0.206324, 0.207564]...	no solution exists.
	Iteration #011: testing norm threshold 0.207254 in range [0.206944, 0.207564]...	solution exists & found.
	Iteration #012: testing norm threshold 0.207099 in range [0.206944, 0.207254]...	no solution exists.
	Iteration #013: testing norm threshold 0.207176 in range [0.207099, 0.207254]...	no solution exists.
	Iteration #014: testing norm threshold 0.207215 in range [0.207176, 0.207254]...	no solution exists.
	Iteration #015: testing norm threshold 0.207234 in range [0.207215, 0.207254]...	no solution exists.
	Iteration #016: testing norm threshold 0.207244 in range [0.207234, 0.207254]...	solution exists & found.


Factual sample: 		 {x0 : -3.234407458798979, x1 : -2.5062317864319663, y: False}
Nearest counterfactual sample:	 {x0 : 1.829481006464387, x1 : -2.5062858898599507, y: True} (verified)
Minimum counterfactual distance: 0.207244
