

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


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 0.167290 in range [0.000000, 0.334579]...	no solution exists.
	Iteration #003: testing norm threshold 0.250935 in range [0.167290, 0.334579]...	solution exists & found.
	Iteration #004: testing norm threshold 0.203398 in range [0.167290, 0.239506]...	no solution exists.
	Iteration #005: testing norm threshold 0.221452 in range [0.203398, 0.239506]...	no solution exists.
	Iteration #006: testing norm threshold 0.230479 in range [0.221452, 0.239506]...	solution exists & found.
	Iteration #007: testing norm threshold 0.225966 in range [0.221452, 0.230479]...	no solution exists.
	Iteration #008: testing norm threshold 0.228223 in range [0.225966, 0.230479]...	solution exists & found.
	Iteration #009: testing norm threshold 0.227094 in range [0.225966, 0.228223]...	no solution exists.
	Iteration #010: testing norm threshold 0.227659 in range [0.227094, 0.228223]...	solution exists & found.
	Iteration #011: testing norm threshold 0.227376 in range [0.227094, 0.227659]...	solution exists & found.
	Iteration #012: testing norm threshold 0.227235 in range [0.227094, 0.227377]...	no solution exists.
	Iteration #013: testing norm threshold 0.227306 in range [0.227235, 0.227377]...	solution exists & found.
	Iteration #014: testing norm threshold 0.227271 in range [0.227235, 0.227306]...	no solution exists.
	Iteration #015: testing norm threshold 0.227288 in range [0.227271, 0.227306]...	no solution exists.
	Iteration #016: testing norm threshold 0.227297 in range [0.227288, 0.227306]...	solution exists & found.


Factual sample: 		 {x0 : -2.0719991950990244, x1 : -4.655290557028148, y: False}
Nearest counterfactual sample:	 {x0 : 3.4819418188363827, x1 : -4.655290616418052, y: True} (verified)
Minimum counterfactual distance: 0.227297
