

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


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 0.076940 in range [0.000000, 0.153880]...	no solution exists.
	Iteration #003: testing norm threshold 0.115410 in range [0.076940, 0.153880]...	no solution exists.
	Iteration #004: testing norm threshold 0.134645 in range [0.115410, 0.153880]...	no solution exists.
	Iteration #005: testing norm threshold 0.144263 in range [0.134645, 0.153880]...	solution exists & found.
	Iteration #006: testing norm threshold 0.139454 in range [0.134645, 0.144263]...	no solution exists.
	Iteration #007: testing norm threshold 0.141858 in range [0.139454, 0.144263]...	solution exists & found.
	Iteration #008: testing norm threshold 0.140656 in range [0.139454, 0.141859]...	no solution exists.
	Iteration #009: testing norm threshold 0.141257 in range [0.140656, 0.141859]...	no solution exists.
	Iteration #010: testing norm threshold 0.141558 in range [0.141257, 0.141859]...	no solution exists.
	Iteration #011: testing norm threshold 0.141708 in range [0.141558, 0.141859]...	solution exists & found.
	Iteration #012: testing norm threshold 0.141633 in range [0.141558, 0.141708]...	no solution exists.
	Iteration #013: testing norm threshold 0.141671 in range [0.141633, 0.141708]...	no solution exists.
	Iteration #014: testing norm threshold 0.141690 in range [0.141671, 0.141708]...	solution exists & found.
	Iteration #015: testing norm threshold 0.141680 in range [0.141671, 0.141690]...	solution exists & found.


Factual sample: 		 {x0 : -1.4284636147876617, x1 : -2.771293634994582, y: False}
Nearest counterfactual sample:	 {x0 : 2.03305892456166, x1 : -2.770928187584072, y: True} (verified)
Minimum counterfactual distance: 0.141680
