

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


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 0.221166 in range [0.000000, 0.442332]...	no solution exists.
	Iteration #003: testing norm threshold 0.331749 in range [0.221166, 0.442332]...	solution exists & found.
	Iteration #004: testing norm threshold 0.251348 in range [0.221166, 0.281530]...	no solution exists.
	Iteration #005: testing norm threshold 0.266439 in range [0.251348, 0.281530]...	no solution exists.
	Iteration #006: testing norm threshold 0.273984 in range [0.266439, 0.281530]...	solution exists & found.
	Iteration #007: testing norm threshold 0.270211 in range [0.266439, 0.273984]...	solution exists & found.
	Iteration #008: testing norm threshold 0.268325 in range [0.266439, 0.270212]...	no solution exists.
	Iteration #009: testing norm threshold 0.269268 in range [0.268325, 0.270212]...	no solution exists.
	Iteration #010: testing norm threshold 0.269740 in range [0.269268, 0.270212]...	solution exists & found.
	Iteration #011: testing norm threshold 0.269504 in range [0.269268, 0.269740]...	solution exists & found.
	Iteration #012: testing norm threshold 0.269386 in range [0.269268, 0.269504]...	solution exists & found.
	Iteration #013: testing norm threshold 0.269327 in range [0.269268, 0.269386]...	solution exists & found.
	Iteration #014: testing norm threshold 0.269298 in range [0.269268, 0.269327]...	no solution exists.
	Iteration #015: testing norm threshold 0.269313 in range [0.269298, 0.269327]...	no solution exists.
	Iteration #016: testing norm threshold 0.269320 in range [0.269313, 0.269327]...	no solution exists.


Factual sample: 		 {x0 : -3.45034518483309, x1 : -4.198149802293137, y: False}
Nearest counterfactual sample:	 {x0 : 3.130590305487821, x1 : -4.198149802293137, y: True} (verified)
Minimum counterfactual distance: 0.269327
