

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


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 0.149493 in range [0.000000, 0.298985]...	no solution exists.
	Iteration #003: testing norm threshold 0.224239 in range [0.149493, 0.298985]...	solution exists & found.
	Iteration #004: testing norm threshold 0.169352 in range [0.149493, 0.189212]...	no solution exists.
	Iteration #005: testing norm threshold 0.179282 in range [0.169352, 0.189212]...	solution exists & found.
	Iteration #006: testing norm threshold 0.174317 in range [0.169352, 0.179282]...	no solution exists.
	Iteration #007: testing norm threshold 0.176800 in range [0.174317, 0.179282]...	no solution exists.
	Iteration #008: testing norm threshold 0.178041 in range [0.176800, 0.179282]...	solution exists & found.
	Iteration #009: testing norm threshold 0.177420 in range [0.176800, 0.178041]...	solution exists & found.
	Iteration #010: testing norm threshold 0.177110 in range [0.176800, 0.177420]...	solution exists & found.
	Iteration #011: testing norm threshold 0.176955 in range [0.176800, 0.177110]...	solution exists & found.
	Iteration #012: testing norm threshold 0.176877 in range [0.176800, 0.176955]...	solution exists & found.
	Iteration #013: testing norm threshold 0.176838 in range [0.176800, 0.176877]...	solution exists & found.
	Iteration #014: testing norm threshold 0.176819 in range [0.176800, 0.176839]...	solution exists & found.
	Iteration #015: testing norm threshold 0.176809 in range [0.176800, 0.176819]...	solution exists & found.


Factual sample: 		 {x0 : -2.77359379000678, x1 : -2.06504632964145, y: False}
Nearest counterfactual sample:	 {x0 : 1.5463537655887136, x1 : -2.0647332209430074, y: True} (verified)
Minimum counterfactual distance: 0.176809
