

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


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 0.102589 in range [0.000000, 0.205178]...	no solution exists.
	Iteration #003: testing norm threshold 0.153884 in range [0.102589, 0.205178]...	no solution exists.
	Iteration #004: testing norm threshold 0.179531 in range [0.153884, 0.205178]...	solution exists & found.
	Iteration #005: testing norm threshold 0.160673 in range [0.153884, 0.167462]...	solution exists & found.
	Iteration #006: testing norm threshold 0.157278 in range [0.153884, 0.160673]...	solution exists & found.
	Iteration #007: testing norm threshold 0.155581 in range [0.153884, 0.157279]...	solution exists & found.
	Iteration #008: testing norm threshold 0.154732 in range [0.153884, 0.155581]...	no solution exists.
	Iteration #009: testing norm threshold 0.155157 in range [0.154732, 0.155581]...	no solution exists.
	Iteration #010: testing norm threshold 0.155369 in range [0.155157, 0.155581]...	solution exists & found.
	Iteration #011: testing norm threshold 0.155263 in range [0.155157, 0.155369]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155210 in range [0.155157, 0.155263]...	no solution exists.
	Iteration #013: testing norm threshold 0.155237 in range [0.155210, 0.155263]...	no solution exists.
	Iteration #014: testing norm threshold 0.155250 in range [0.155237, 0.155263]...	no solution exists.
	Iteration #015: testing norm threshold 0.155256 in range [0.155250, 0.155263]...	solution exists & found.


Factual sample: 		 {x0 : -2.558724664309711, x1 : -1.7330218182724446, y: False}
Nearest counterfactual sample:	 {x0 : 1.2349214390890488, x1 : -1.7330218182724446, y: True} (verified)
Minimum counterfactual distance: 0.155256
