

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


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 0.134559 in range [0.000000, 0.269119]...	no solution exists.
	Iteration #003: testing norm threshold 0.201839 in range [0.134559, 0.269119]...	solution exists & found.
	Iteration #004: testing norm threshold 0.163603 in range [0.134559, 0.192647]...	no solution exists.
	Iteration #005: testing norm threshold 0.178125 in range [0.163603, 0.192647]...	no solution exists.
	Iteration #006: testing norm threshold 0.185386 in range [0.178125, 0.192647]...	solution exists & found.
	Iteration #007: testing norm threshold 0.181756 in range [0.178125, 0.185386]...	solution exists & found.
	Iteration #008: testing norm threshold 0.179940 in range [0.178125, 0.181756]...	no solution exists.
	Iteration #009: testing norm threshold 0.180848 in range [0.179940, 0.181756]...	solution exists & found.
	Iteration #010: testing norm threshold 0.180394 in range [0.179940, 0.180848]...	no solution exists.
	Iteration #011: testing norm threshold 0.180621 in range [0.180394, 0.180848]...	solution exists & found.
	Iteration #012: testing norm threshold 0.180508 in range [0.180394, 0.180621]...	solution exists & found.
	Iteration #013: testing norm threshold 0.180451 in range [0.180394, 0.180508]...	solution exists & found.
	Iteration #014: testing norm threshold 0.180423 in range [0.180394, 0.180451]...	no solution exists.
	Iteration #015: testing norm threshold 0.180437 in range [0.180423, 0.180451]...	no solution exists.
	Iteration #016: testing norm threshold 0.180444 in range [0.180437, 0.180451]...	solution exists & found.


Factual sample: 		 {x0 : -3.719100563731869, x1 : -1.0242708436659005, y: False}
Nearest counterfactual sample:	 {x0 : 0.6897256375887524, x1 : -1.0240192427482582, y: True} (verified)
Minimum counterfactual distance: 0.180444
