

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


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 0.129789 in range [0.000000, 0.259578]...	no solution exists.
	Iteration #003: testing norm threshold 0.194684 in range [0.129789, 0.259578]...	no solution exists.
	Iteration #004: testing norm threshold 0.227131 in range [0.194684, 0.259578]...	no solution exists.
	Iteration #005: testing norm threshold 0.243355 in range [0.227131, 0.259578]...	no solution exists.
	Iteration #006: testing norm threshold 0.251466 in range [0.243355, 0.259578]...	solution exists & found.
	Iteration #007: testing norm threshold 0.247411 in range [0.243355, 0.251467]...	solution exists & found.
	Iteration #008: testing norm threshold 0.245383 in range [0.243355, 0.247411]...	no solution exists.
	Iteration #009: testing norm threshold 0.246397 in range [0.245383, 0.247411]...	no solution exists.
	Iteration #010: testing norm threshold 0.246904 in range [0.246397, 0.247411]...	no solution exists.
	Iteration #011: testing norm threshold 0.247157 in range [0.246904, 0.247411]...	no solution exists.
	Iteration #012: testing norm threshold 0.247284 in range [0.247157, 0.247411]...	no solution exists.
	Iteration #013: testing norm threshold 0.247347 in range [0.247284, 0.247411]...	no solution exists.
	Iteration #014: testing norm threshold 0.247379 in range [0.247347, 0.247411]...	solution exists & found.
	Iteration #015: testing norm threshold 0.247363 in range [0.247347, 0.247379]...	no solution exists.
	Iteration #016: testing norm threshold 0.247371 in range [0.247363, 0.247379]...	solution exists & found.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.659331917210361, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.247371
