

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


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 0.148538 in range [0.000000, 0.297077]...	no solution exists.
	Iteration #003: testing norm threshold 0.222807 in range [0.148538, 0.297077]...	no solution exists.
	Iteration #004: testing norm threshold 0.259942 in range [0.222807, 0.297077]...	no solution exists.
	Iteration #005: testing norm threshold 0.278509 in range [0.259942, 0.297077]...	no solution exists.
	Iteration #006: testing norm threshold 0.287793 in range [0.278509, 0.297077]...	solution exists & found.
	Iteration #007: testing norm threshold 0.283151 in range [0.278509, 0.287793]...	no solution exists.
	Iteration #008: testing norm threshold 0.285472 in range [0.283151, 0.287793]...	solution exists & found.
	Iteration #009: testing norm threshold 0.284312 in range [0.283151, 0.285472]...	no solution exists.
	Iteration #010: testing norm threshold 0.284892 in range [0.284312, 0.285472]...	solution exists & found.
	Iteration #011: testing norm threshold 0.284602 in range [0.284312, 0.284892]...	no solution exists.
	Iteration #012: testing norm threshold 0.284747 in range [0.284602, 0.284892]...	solution exists & found.
	Iteration #013: testing norm threshold 0.284674 in range [0.284602, 0.284747]...	solution exists & found.
	Iteration #014: testing norm threshold 0.284638 in range [0.284602, 0.284675]...	no solution exists.
	Iteration #015: testing norm threshold 0.284656 in range [0.284638, 0.284675]...	no solution exists.
	Iteration #016: testing norm threshold 0.284665 in range [0.284656, 0.284675]...	no solution exists.


Factual sample: 		 {x0 : -3.389627988128975, x1 : -4.562507253463938, y: False}
Nearest counterfactual sample:	 {x0 : 3.5659610658572443, x1 : -4.562183404038786, y: True} (verified)
Minimum counterfactual distance: 0.284674
