

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


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 0.154135 in range [0.000000, 0.308270]...	no solution exists.
	Iteration #003: testing norm threshold 0.231202 in range [0.154135, 0.308270]...	no solution exists.
	Iteration #004: testing norm threshold 0.269736 in range [0.231202, 0.308270]...	no solution exists.
	Iteration #005: testing norm threshold 0.289003 in range [0.269736, 0.308270]...	no solution exists.
	Iteration #006: testing norm threshold 0.298636 in range [0.289003, 0.308270]...	solution exists & found.
	Iteration #007: testing norm threshold 0.293820 in range [0.289003, 0.298636]...	no solution exists.
	Iteration #008: testing norm threshold 0.296228 in range [0.293820, 0.298636]...	solution exists & found.
	Iteration #009: testing norm threshold 0.295024 in range [0.293820, 0.296228]...	no solution exists.
	Iteration #010: testing norm threshold 0.295626 in range [0.295024, 0.296228]...	no solution exists.
	Iteration #011: testing norm threshold 0.295927 in range [0.295626, 0.296228]...	solution exists & found.
	Iteration #012: testing norm threshold 0.295777 in range [0.295626, 0.295927]...	no solution exists.
	Iteration #013: testing norm threshold 0.295852 in range [0.295777, 0.295927]...	no solution exists.
	Iteration #014: testing norm threshold 0.295890 in range [0.295852, 0.295927]...	solution exists & found.
	Iteration #015: testing norm threshold 0.295871 in range [0.295852, 0.295890]...	solution exists & found.
	Iteration #016: testing norm threshold 0.295861 in range [0.295852, 0.295871]...	solution exists & found.


Factual sample: 		 {x0 : -4.027609821641254, x1 : -4.11179143253506, y: False}
Nearest counterfactual sample:	 {x0 : 3.2016385853697313, x1 : -4.111755415590877, y: True} (verified)
Minimum counterfactual distance: 0.295861
