

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


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 0.202169 in range [0.000000, 0.404339]...	no solution exists.
	Iteration #003: testing norm threshold 0.303254 in range [0.202169, 0.404339]...	solution exists & found.
	Iteration #004: testing norm threshold 0.245806 in range [0.202169, 0.289443]...	no solution exists.
	Iteration #005: testing norm threshold 0.267625 in range [0.245806, 0.289443]...	no solution exists.
	Iteration #006: testing norm threshold 0.278534 in range [0.267625, 0.289443]...	solution exists & found.
	Iteration #007: testing norm threshold 0.273079 in range [0.267625, 0.278534]...	no solution exists.
	Iteration #008: testing norm threshold 0.275807 in range [0.273079, 0.278534]...	no solution exists.
	Iteration #009: testing norm threshold 0.277170 in range [0.275807, 0.278534]...	no solution exists.
	Iteration #010: testing norm threshold 0.277852 in range [0.277170, 0.278534]...	solution exists & found.
	Iteration #011: testing norm threshold 0.277511 in range [0.277170, 0.277852]...	solution exists & found.
	Iteration #012: testing norm threshold 0.277341 in range [0.277170, 0.277511]...	solution exists & found.
	Iteration #013: testing norm threshold 0.277256 in range [0.277170, 0.277341]...	solution exists & found.
	Iteration #014: testing norm threshold 0.277213 in range [0.277170, 0.277256]...	no solution exists.
	Iteration #015: testing norm threshold 0.277234 in range [0.277213, 0.277256]...	solution exists & found.
	Iteration #016: testing norm threshold 0.277224 in range [0.277213, 0.277235]...	no solution exists.
	Iteration #017: testing norm threshold 0.277229 in range [0.277224, 0.277235]...	no solution exists.


Factual sample: 		 {x0 : -4.1680605780027244, x1 : -3.5162516446079115, y: False}
Nearest counterfactual sample:	 {x0 : 2.6060609657610385, x1 : -3.516233558290989, y: True} (verified)
Minimum counterfactual distance: 0.277234
