

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


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 0.198578 in range [0.000000, 0.397156]...	no solution exists.
	Iteration #003: testing norm threshold 0.297867 in range [0.198578, 0.397156]...	solution exists & found.
	Iteration #004: testing norm threshold 0.248223 in range [0.198578, 0.297867]...	no solution exists.
	Iteration #005: testing norm threshold 0.273045 in range [0.248223, 0.297867]...	solution exists & found.
	Iteration #006: testing norm threshold 0.260634 in range [0.248223, 0.273045]...	no solution exists.
	Iteration #007: testing norm threshold 0.266840 in range [0.260634, 0.273045]...	no solution exists.
	Iteration #008: testing norm threshold 0.269942 in range [0.266840, 0.273045]...	no solution exists.
	Iteration #009: testing norm threshold 0.271494 in range [0.269942, 0.273045]...	no solution exists.
	Iteration #010: testing norm threshold 0.272270 in range [0.271494, 0.273045]...	solution exists & found.
	Iteration #011: testing norm threshold 0.271882 in range [0.271494, 0.272270]...	no solution exists.
	Iteration #012: testing norm threshold 0.272076 in range [0.271882, 0.272270]...	no solution exists.
	Iteration #013: testing norm threshold 0.272173 in range [0.272076, 0.272270]...	solution exists & found.
	Iteration #014: testing norm threshold 0.272124 in range [0.272076, 0.272173]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272100 in range [0.272076, 0.272124]...	solution exists & found.
	Iteration #016: testing norm threshold 0.272088 in range [0.272076, 0.272100]...	no solution exists.
	Iteration #017: testing norm threshold 0.272094 in range [0.272088, 0.272100]...	solution exists & found.


Factual sample: 		 {x0 : -2.646544506580405, x1 : -5.331553427321787, y: False}
Nearest counterfactual sample:	 {x0 : 4.001992533791421, x1 : -5.331553427321787, y: True} (verified)
Minimum counterfactual distance: 0.272094
