

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


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 0.130401 in range [0.000000, 0.260802]...	no solution exists.
	Iteration #003: testing norm threshold 0.195602 in range [0.130401, 0.260802]...	no solution exists.
	Iteration #004: testing norm threshold 0.228202 in range [0.195602, 0.260802]...	no solution exists.
	Iteration #005: testing norm threshold 0.244502 in range [0.228202, 0.260802]...	no solution exists.
	Iteration #006: testing norm threshold 0.252652 in range [0.244502, 0.260802]...	solution exists & found.
	Iteration #007: testing norm threshold 0.248577 in range [0.244502, 0.252652]...	solution exists & found.
	Iteration #008: testing norm threshold 0.246540 in range [0.244502, 0.248577]...	no solution exists.
	Iteration #009: testing norm threshold 0.247559 in range [0.246540, 0.248577]...	no solution exists.
	Iteration #010: testing norm threshold 0.248068 in range [0.247559, 0.248577]...	no solution exists.
	Iteration #011: testing norm threshold 0.248323 in range [0.248068, 0.248577]...	no solution exists.
	Iteration #012: testing norm threshold 0.248450 in range [0.248323, 0.248577]...	solution exists & found.
	Iteration #013: testing norm threshold 0.248386 in range [0.248323, 0.248450]...	no solution exists.
	Iteration #014: testing norm threshold 0.248418 in range [0.248386, 0.248450]...	solution exists & found.
	Iteration #015: testing norm threshold 0.248402 in range [0.248386, 0.248418]...	solution exists & found.
	Iteration #016: testing norm threshold 0.248394 in range [0.248386, 0.248402]...	solution exists & found.


Factual sample: 		 {x0 : -2.873941964231423, x1 : -4.104141075238388, y: False}
Nearest counterfactual sample:	 {x0 : 3.1954891929047853, x1 : -4.104153536341063, y: True} (verified)
Minimum counterfactual distance: 0.248394
