

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


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 0.122400 in range [0.000000, 0.244800]...	no solution exists.
	Iteration #003: testing norm threshold 0.183600 in range [0.122400, 0.244800]...	no solution exists.
	Iteration #004: testing norm threshold 0.214200 in range [0.183600, 0.244800]...	no solution exists.
	Iteration #005: testing norm threshold 0.229500 in range [0.214200, 0.244800]...	no solution exists.
	Iteration #006: testing norm threshold 0.237150 in range [0.229500, 0.244800]...	solution exists & found.
	Iteration #007: testing norm threshold 0.233325 in range [0.229500, 0.237150]...	solution exists & found.
	Iteration #008: testing norm threshold 0.231413 in range [0.229500, 0.233325]...	no solution exists.
	Iteration #009: testing norm threshold 0.232369 in range [0.231413, 0.233325]...	no solution exists.
	Iteration #010: testing norm threshold 0.232847 in range [0.232369, 0.233325]...	solution exists & found.
	Iteration #011: testing norm threshold 0.232608 in range [0.232369, 0.232847]...	solution exists & found.
	Iteration #012: testing norm threshold 0.232488 in range [0.232369, 0.232608]...	no solution exists.
	Iteration #013: testing norm threshold 0.232548 in range [0.232488, 0.232608]...	no solution exists.
	Iteration #014: testing norm threshold 0.232578 in range [0.232548, 0.232608]...	no solution exists.
	Iteration #015: testing norm threshold 0.232593 in range [0.232578, 0.232608]...	solution exists & found.
	Iteration #016: testing norm threshold 0.232586 in range [0.232578, 0.232593]...	no solution exists.


Factual sample: 		 {x0 : -3.5841863063552792, x1 : -2.8569573750432, y: False}
Nearest counterfactual sample:	 {x0 : 2.0990571273309913, x1 : -2.8568645878119554, y: True} (verified)
Minimum counterfactual distance: 0.232593
