

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


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 0.153274 in range [0.000000, 0.306547]...	no solution exists.
	Iteration #003: testing norm threshold 0.229910 in range [0.153274, 0.306547]...	solution exists & found.
	Iteration #004: testing norm threshold 0.191592 in range [0.153274, 0.229910]...	no solution exists.
	Iteration #005: testing norm threshold 0.210751 in range [0.191592, 0.229910]...	solution exists & found.
	Iteration #006: testing norm threshold 0.201172 in range [0.191592, 0.210751]...	no solution exists.
	Iteration #007: testing norm threshold 0.205962 in range [0.201172, 0.210751]...	no solution exists.
	Iteration #008: testing norm threshold 0.208356 in range [0.205962, 0.210751]...	solution exists & found.
	Iteration #009: testing norm threshold 0.207159 in range [0.205962, 0.208357]...	no solution exists.
	Iteration #010: testing norm threshold 0.207758 in range [0.207159, 0.208357]...	solution exists & found.
	Iteration #011: testing norm threshold 0.207458 in range [0.207159, 0.207758]...	solution exists & found.
	Iteration #012: testing norm threshold 0.207309 in range [0.207159, 0.207459]...	solution exists & found.
	Iteration #013: testing norm threshold 0.207234 in range [0.207159, 0.207309]...	solution exists & found.
	Iteration #014: testing norm threshold 0.207197 in range [0.207159, 0.207234]...	no solution exists.
	Iteration #015: testing norm threshold 0.207215 in range [0.207197, 0.207234]...	no solution exists.
	Iteration #016: testing norm threshold 0.207225 in range [0.207215, 0.207234]...	no solution exists.


Factual sample: 		 {x0 : -1.9069081175757872, x1 : -4.2323387941248445, y: False}
Nearest counterfactual sample:	 {x0 : 3.1566471018078146, x1 : -4.232203466341246, y: True} (verified)
Minimum counterfactual distance: 0.207234
