

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


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 0.135852 in range [0.000000, 0.271705]...	no solution exists.
	Iteration #003: testing norm threshold 0.203778 in range [0.135852, 0.271705]...	no solution exists.
	Iteration #004: testing norm threshold 0.237742 in range [0.203778, 0.271705]...	no solution exists.
	Iteration #005: testing norm threshold 0.254723 in range [0.237742, 0.271705]...	no solution exists.
	Iteration #006: testing norm threshold 0.263214 in range [0.254723, 0.271705]...	solution exists & found.
	Iteration #007: testing norm threshold 0.258968 in range [0.254723, 0.263214]...	no solution exists.
	Iteration #008: testing norm threshold 0.261091 in range [0.258968, 0.263214]...	solution exists & found.
	Iteration #009: testing norm threshold 0.260030 in range [0.258968, 0.261091]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259499 in range [0.258968, 0.260030]...	solution exists & found.
	Iteration #011: testing norm threshold 0.259234 in range [0.258968, 0.259499]...	no solution exists.
	Iteration #012: testing norm threshold 0.259367 in range [0.259234, 0.259499]...	solution exists & found.
	Iteration #013: testing norm threshold 0.259300 in range [0.259234, 0.259367]...	solution exists & found.
	Iteration #014: testing norm threshold 0.259267 in range [0.259234, 0.259300]...	no solution exists.
	Iteration #015: testing norm threshold 0.259284 in range [0.259267, 0.259300]...	no solution exists.
	Iteration #016: testing norm threshold 0.259292 in range [0.259284, 0.259300]...	no solution exists.


Factual sample: 		 {x0 : -3.7997167509054672, x1 : -3.288748253701852, y: False}
Nearest counterfactual sample:	 {x0 : 2.536210210586727, x1 : -3.288748253701852, y: True} (verified)
Minimum counterfactual distance: 0.259300
