

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


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 0.186357 in range [0.153274, 0.219440]...	no solution exists.
	Iteration #005: testing norm threshold 0.202898 in range [0.186357, 0.219440]...	no solution exists.
	Iteration #006: testing norm threshold 0.211169 in range [0.202898, 0.219440]...	solution exists & found.
	Iteration #007: testing norm threshold 0.207034 in range [0.202898, 0.211169]...	no solution exists.
	Iteration #008: testing norm threshold 0.209101 in range [0.207034, 0.211169]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208068 in range [0.207034, 0.209101]...	solution exists & found.
	Iteration #010: testing norm threshold 0.207551 in range [0.207034, 0.208068]...	solution exists & found.
	Iteration #011: testing norm threshold 0.207292 in range [0.207034, 0.207551]...	solution exists & found.
	Iteration #012: testing norm threshold 0.207163 in range [0.207034, 0.207292]...	no solution exists.
	Iteration #013: testing norm threshold 0.207228 in range [0.207163, 0.207292]...	no solution exists.
	Iteration #014: testing norm threshold 0.207260 in range [0.207228, 0.207292]...	solution exists & found.
	Iteration #015: testing norm threshold 0.207244 in range [0.207228, 0.207260]...	solution exists & found.
	Iteration #016: testing norm threshold 0.207236 in range [0.207228, 0.207244]...	solution exists & found.


Factual sample: 		 {x0 : -1.9069081175757872, x1 : -4.2323387941248445, y: False}
Nearest counterfactual sample:	 {x0 : 3.1567812591407125, x1 : -4.232391081135146, y: True} (verified)
Minimum counterfactual distance: 0.207236
