

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


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 0.161112 in range [0.000000, 0.322225]...	no solution exists.
	Iteration #003: testing norm threshold 0.241668 in range [0.161112, 0.322225]...	no solution exists.
	Iteration #004: testing norm threshold 0.281947 in range [0.241668, 0.322225]...	solution exists & found.
	Iteration #005: testing norm threshold 0.261808 in range [0.241668, 0.281947]...	no solution exists.
	Iteration #006: testing norm threshold 0.271877 in range [0.261808, 0.281947]...	no solution exists.
	Iteration #007: testing norm threshold 0.276912 in range [0.271877, 0.281947]...	solution exists & found.
	Iteration #008: testing norm threshold 0.274395 in range [0.271877, 0.276912]...	solution exists & found.
	Iteration #009: testing norm threshold 0.273136 in range [0.271877, 0.274395]...	solution exists & found.
	Iteration #010: testing norm threshold 0.272507 in range [0.271877, 0.273136]...	solution exists & found.
	Iteration #011: testing norm threshold 0.272192 in range [0.271877, 0.272507]...	no solution exists.
	Iteration #012: testing norm threshold 0.272349 in range [0.272192, 0.272507]...	solution exists & found.
	Iteration #013: testing norm threshold 0.272271 in range [0.272192, 0.272349]...	no solution exists.
	Iteration #014: testing norm threshold 0.272310 in range [0.272271, 0.272349]...	solution exists & found.
	Iteration #015: testing norm threshold 0.272290 in range [0.272271, 0.272310]...	no solution exists.
	Iteration #016: testing norm threshold 0.272300 in range [0.272290, 0.272310]...	solution exists & found.


Factual sample: 		 {x0 : -4.511166425358593, x1 : -2.913257952081682, y: False}
Nearest counterfactual sample:	 {x0 : 2.142409901958586, x1 : -2.913257952081682, y: True} (verified)
Minimum counterfactual distance: 0.272300
