

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


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 0.128235 in range [0.000000, 0.256469]...	no solution exists.
	Iteration #003: testing norm threshold 0.192352 in range [0.128235, 0.256469]...	solution exists & found.
	Iteration #004: testing norm threshold 0.160293 in range [0.128235, 0.192352]...	no solution exists.
	Iteration #005: testing norm threshold 0.176323 in range [0.160293, 0.192352]...	no solution exists.
	Iteration #006: testing norm threshold 0.184337 in range [0.176323, 0.192352]...	solution exists & found.
	Iteration #007: testing norm threshold 0.180330 in range [0.176323, 0.184337]...	no solution exists.
	Iteration #008: testing norm threshold 0.182334 in range [0.180330, 0.184337]...	solution exists & found.
	Iteration #009: testing norm threshold 0.181332 in range [0.180330, 0.182334]...	solution exists & found.
	Iteration #010: testing norm threshold 0.180831 in range [0.180330, 0.181332]...	solution exists & found.
	Iteration #011: testing norm threshold 0.180580 in range [0.180330, 0.180831]...	no solution exists.
	Iteration #012: testing norm threshold 0.180706 in range [0.180580, 0.180831]...	solution exists & found.
	Iteration #013: testing norm threshold 0.180643 in range [0.180580, 0.180706]...	no solution exists.
	Iteration #014: testing norm threshold 0.180674 in range [0.180643, 0.180706]...	solution exists & found.
	Iteration #015: testing norm threshold 0.180659 in range [0.180643, 0.180675]...	no solution exists.
	Iteration #016: testing norm threshold 0.180667 in range [0.180659, 0.180675]...	solution exists & found.


Factual sample: 		 {x0 : -2.592377487004912, x1 : -2.4057938639214425, y: False}
Nearest counterfactual sample:	 {x0 : 1.822123800571443, x1 : -2.405828376399208, y: True} (verified)
Minimum counterfactual distance: 0.180667
