

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


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 0.116969 in range [0.000000, 0.233937]...	no solution exists.
	Iteration #003: testing norm threshold 0.175453 in range [0.116969, 0.233937]...	solution exists & found.
	Iteration #004: testing norm threshold 0.142215 in range [0.116969, 0.167462]...	no solution exists.
	Iteration #005: testing norm threshold 0.154839 in range [0.142215, 0.167462]...	no solution exists.
	Iteration #006: testing norm threshold 0.161151 in range [0.154839, 0.167462]...	solution exists & found.
	Iteration #007: testing norm threshold 0.157995 in range [0.154839, 0.161151]...	solution exists & found.
	Iteration #008: testing norm threshold 0.156417 in range [0.154839, 0.157995]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155628 in range [0.154839, 0.156417]...	solution exists & found.
	Iteration #010: testing norm threshold 0.155234 in range [0.154839, 0.155628]...	no solution exists.
	Iteration #011: testing norm threshold 0.155431 in range [0.155234, 0.155628]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155332 in range [0.155234, 0.155431]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155283 in range [0.155234, 0.155332]...	solution exists & found.
	Iteration #014: testing norm threshold 0.155258 in range [0.155234, 0.155283]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155246 in range [0.155234, 0.155258]...	no solution exists.
	Iteration #016: testing norm threshold 0.155252 in range [0.155246, 0.155258]...	no solution exists.


Factual sample: 		 {x0 : -2.558724664309711, x1 : -1.7330218182724446, y: False}
Nearest counterfactual sample:	 {x0 : 1.2347477401750135, x1 : -1.732819397328195, y: True} (verified)
Minimum counterfactual distance: 0.155258
