

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


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 0.110702 in range [0.000000, 0.221404]...	no solution exists.
	Iteration #003: testing norm threshold 0.166053 in range [0.110702, 0.221404]...	no solution exists.
	Iteration #004: testing norm threshold 0.193729 in range [0.166053, 0.221404]...	no solution exists.
	Iteration #005: testing norm threshold 0.207566 in range [0.193729, 0.221404]...	no solution exists.
	Iteration #006: testing norm threshold 0.214485 in range [0.207566, 0.221404]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211026 in range [0.207566, 0.214485]...	solution exists & found.
	Iteration #008: testing norm threshold 0.209296 in range [0.207566, 0.211026]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208431 in range [0.207566, 0.209296]...	no solution exists.
	Iteration #010: testing norm threshold 0.208864 in range [0.208431, 0.209296]...	no solution exists.
	Iteration #011: testing norm threshold 0.209080 in range [0.208864, 0.209296]...	no solution exists.
	Iteration #012: testing norm threshold 0.209188 in range [0.209080, 0.209296]...	no solution exists.
	Iteration #013: testing norm threshold 0.209242 in range [0.209188, 0.209296]...	solution exists & found.
	Iteration #014: testing norm threshold 0.209215 in range [0.209188, 0.209242]...	solution exists & found.
	Iteration #015: testing norm threshold 0.209202 in range [0.209188, 0.209215]...	solution exists & found.
	Iteration #016: testing norm threshold 0.209195 in range [0.209188, 0.209202]...	solution exists & found.


Factual sample: 		 {x0 : -3.0516054161734547, x1 : -2.806120250508324, y: False}
Nearest counterfactual sample:	 {x0 : 2.0600076146604485, x1 : -2.806118186187121, y: True} (verified)
Minimum counterfactual distance: 0.209195
