

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


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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.131179 in range [0.000000, 0.262358]...	no solution exists.
	Iteration #003: testing norm threshold 0.196769 in range [0.131179, 0.262358]...	no solution exists.
	Iteration #004: testing norm threshold 0.229563 in range [0.196769, 0.262358]...	no solution exists.
	Iteration #005: testing norm threshold 0.245961 in range [0.229563, 0.262358]...	no solution exists.
	Iteration #006: testing norm threshold 0.254159 in range [0.245961, 0.262358]...	solution exists & found.
	Iteration #007: testing norm threshold 0.250060 in range [0.245961, 0.254159]...	no solution exists.
	Iteration #008: testing norm threshold 0.252110 in range [0.250060, 0.254159]...	solution exists & found.
	Iteration #009: testing norm threshold 0.251085 in range [0.250060, 0.252110]...	solution exists & found.
	Iteration #010: testing norm threshold 0.250573 in range [0.250060, 0.251085]...	solution exists & found.
	Iteration #011: testing norm threshold 0.250316 in range [0.250060, 0.250573]...	solution exists & found.
	Iteration #012: testing norm threshold 0.250188 in range [0.250060, 0.250316]...	solution exists & found.
	Iteration #013: testing norm threshold 0.250124 in range [0.250060, 0.250188]...	no solution exists.
	Iteration #014: testing norm threshold 0.250156 in range [0.250124, 0.250188]...	solution exists & found.
	Iteration #015: testing norm threshold 0.250140 in range [0.250124, 0.250156]...	no solution exists.
	Iteration #016: testing norm threshold 0.250148 in range [0.250140, 0.250156]...	no solution exists.


Factual sample: 		 {x0 : -3.8448343389459865, x1 : -3.075926879780657, y: False}
Nearest counterfactual sample:	 {x0 : 2.267659808812169, x1 : -3.075926879780657, y: True} (verified)
Minimum counterfactual distance: 0.250156
