

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


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 0.090503 in range [0.000000, 0.181006]...	no solution exists.
	Iteration #003: testing norm threshold 0.135755 in range [0.090503, 0.181006]...	no solution exists.
	Iteration #004: testing norm threshold 0.158381 in range [0.135755, 0.181006]...	no solution exists.
	Iteration #005: testing norm threshold 0.169693 in range [0.158381, 0.181006]...	solution exists & found.
	Iteration #006: testing norm threshold 0.164037 in range [0.158381, 0.169694]...	no solution exists.
	Iteration #007: testing norm threshold 0.166865 in range [0.164037, 0.169694]...	no solution exists.
	Iteration #008: testing norm threshold 0.168279 in range [0.166865, 0.169694]...	no solution exists.
	Iteration #009: testing norm threshold 0.168986 in range [0.168279, 0.169694]...	solution exists & found.
	Iteration #010: testing norm threshold 0.168633 in range [0.168279, 0.168987]...	solution exists & found.
	Iteration #011: testing norm threshold 0.168456 in range [0.168279, 0.168633]...	no solution exists.
	Iteration #012: testing norm threshold 0.168545 in range [0.168456, 0.168633]...	no solution exists.
	Iteration #013: testing norm threshold 0.168589 in range [0.168545, 0.168633]...	no solution exists.
	Iteration #014: testing norm threshold 0.168611 in range [0.168589, 0.168633]...	solution exists & found.
	Iteration #015: testing norm threshold 0.168600 in range [0.168589, 0.168611]...	solution exists & found.
	Iteration #016: testing norm threshold 0.168594 in range [0.168589, 0.168600]...	no solution exists.


Factual sample: 		 {x0 : -1.7156030703254446, x1 : -3.1254273356101234, y: False}
Nearest counterfactual sample:	 {x0 : 2.4039480938196744, x1 : -3.1252977316367754, y: True} (verified)
Minimum counterfactual distance: 0.168600
