

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


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 0.140729 in range [0.000000, 0.281458]...	no solution exists.
	Iteration #003: testing norm threshold 0.211094 in range [0.140729, 0.281458]...	solution exists & found.
	Iteration #004: testing norm threshold 0.171105 in range [0.140729, 0.201480]...	no solution exists.
	Iteration #005: testing norm threshold 0.186292 in range [0.171105, 0.201480]...	no solution exists.
	Iteration #006: testing norm threshold 0.193886 in range [0.186292, 0.201480]...	solution exists & found.
	Iteration #007: testing norm threshold 0.190089 in range [0.186292, 0.193886]...	solution exists & found.
	Iteration #008: testing norm threshold 0.188191 in range [0.186292, 0.190089]...	no solution exists.
	Iteration #009: testing norm threshold 0.189140 in range [0.188191, 0.190089]...	no solution exists.
	Iteration #010: testing norm threshold 0.189615 in range [0.189140, 0.190089]...	solution exists & found.
	Iteration #011: testing norm threshold 0.189377 in range [0.189140, 0.189615]...	solution exists & found.
	Iteration #012: testing norm threshold 0.189259 in range [0.189140, 0.189378]...	no solution exists.
	Iteration #013: testing norm threshold 0.189318 in range [0.189259, 0.189378]...	solution exists & found.
	Iteration #014: testing norm threshold 0.189289 in range [0.189259, 0.189318]...	solution exists & found.
	Iteration #015: testing norm threshold 0.189274 in range [0.189259, 0.189289]...	solution exists & found.
	Iteration #016: testing norm threshold 0.189266 in range [0.189259, 0.189274]...	no solution exists.


Factual sample: 		 {x0 : -2.509367391060185, x1 : -2.8781675456854754, y: False}
Nearest counterfactual sample:	 {x0 : 2.1153557170697286, x1 : -2.878050761822336, y: True} (verified)
Minimum counterfactual distance: 0.189274
