

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


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 0.083135 in range [0.000000, 0.166271]...	no solution exists.
	Iteration #003: testing norm threshold 0.124703 in range [0.083135, 0.166271]...	solution exists & found.
	Iteration #004: testing norm threshold 0.103919 in range [0.083135, 0.124703]...	no solution exists.
	Iteration #005: testing norm threshold 0.114311 in range [0.103919, 0.124703]...	no solution exists.
	Iteration #006: testing norm threshold 0.119507 in range [0.114311, 0.124703]...	solution exists & found.
	Iteration #007: testing norm threshold 0.116909 in range [0.114311, 0.119507]...	solution exists & found.
	Iteration #008: testing norm threshold 0.115610 in range [0.114311, 0.116909]...	solution exists & found.
	Iteration #009: testing norm threshold 0.114961 in range [0.114311, 0.115611]...	no solution exists.
	Iteration #010: testing norm threshold 0.115286 in range [0.114961, 0.115611]...	no solution exists.
	Iteration #011: testing norm threshold 0.115448 in range [0.115286, 0.115611]...	solution exists & found.
	Iteration #012: testing norm threshold 0.115367 in range [0.115286, 0.115448]...	solution exists & found.
	Iteration #013: testing norm threshold 0.115326 in range [0.115286, 0.115367]...	no solution exists.
	Iteration #014: testing norm threshold 0.115347 in range [0.115326, 0.115367]...	solution exists & found.
	Iteration #015: testing norm threshold 0.115337 in range [0.115326, 0.115347]...	solution exists & found.
	Iteration #016: testing norm threshold 0.115332 in range [0.115326, 0.115337]...	no solution exists.


Factual sample: 		 {x0 : -1.00905061995081, x1 : -2.3897289669022066, y: False}
Nearest counterfactual sample:	 {x0 : 1.8091652438764285, x1 : -2.3897289669022066, y: True} (verified)
Minimum counterfactual distance: 0.115337
