

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


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 0.134958 in range [0.000000, 0.269915]...	no solution exists.
	Iteration #003: testing norm threshold 0.202436 in range [0.134958, 0.269915]...	no solution exists.
	Iteration #004: testing norm threshold 0.236176 in range [0.202436, 0.269915]...	no solution exists.
	Iteration #005: testing norm threshold 0.253045 in range [0.236176, 0.269915]...	no solution exists.
	Iteration #006: testing norm threshold 0.261480 in range [0.253045, 0.269915]...	solution exists & found.
	Iteration #007: testing norm threshold 0.257263 in range [0.253045, 0.261480]...	no solution exists.
	Iteration #008: testing norm threshold 0.259372 in range [0.257263, 0.261480]...	solution exists & found.
	Iteration #009: testing norm threshold 0.258317 in range [0.257263, 0.259372]...	solution exists & found.
	Iteration #010: testing norm threshold 0.257790 in range [0.257263, 0.258317]...	solution exists & found.
	Iteration #011: testing norm threshold 0.257526 in range [0.257263, 0.257790]...	no solution exists.
	Iteration #012: testing norm threshold 0.257658 in range [0.257526, 0.257790]...	no solution exists.
	Iteration #013: testing norm threshold 0.257724 in range [0.257658, 0.257790]...	solution exists & found.
	Iteration #014: testing norm threshold 0.257691 in range [0.257658, 0.257724]...	no solution exists.
	Iteration #015: testing norm threshold 0.257708 in range [0.257691, 0.257724]...	solution exists & found.
	Iteration #016: testing norm threshold 0.257700 in range [0.257691, 0.257708]...	no solution exists.


Factual sample: 		 {x0 : -3.911539229982616, x1 : -3.229314521944287, y: False}
Nearest counterfactual sample:	 {x0 : 2.3853898200295305, x1 : -3.229234488681221, y: True} (verified)
Minimum counterfactual distance: 0.257708
