

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


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 0.117210 in range [0.000000, 0.234421]...	no solution exists.
	Iteration #003: testing norm threshold 0.175815 in range [0.117210, 0.234421]...	solution exists & found.
	Iteration #004: testing norm threshold 0.142509 in range [0.117210, 0.167808]...	no solution exists.
	Iteration #005: testing norm threshold 0.155159 in range [0.142509, 0.167808]...	no solution exists.
	Iteration #006: testing norm threshold 0.161484 in range [0.155159, 0.167808]...	solution exists & found.
	Iteration #007: testing norm threshold 0.158321 in range [0.155159, 0.161484]...	solution exists & found.
	Iteration #008: testing norm threshold 0.156740 in range [0.155159, 0.158321]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155950 in range [0.155159, 0.156740]...	solution exists & found.
	Iteration #010: testing norm threshold 0.155554 in range [0.155159, 0.155950]...	no solution exists.
	Iteration #011: testing norm threshold 0.155752 in range [0.155554, 0.155950]...	solution exists & found.
	Iteration #012: testing norm threshold 0.155653 in range [0.155554, 0.155752]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155604 in range [0.155554, 0.155653]...	solution exists & found.
	Iteration #014: testing norm threshold 0.155579 in range [0.155554, 0.155604]...	no solution exists.
	Iteration #015: testing norm threshold 0.155592 in range [0.155579, 0.155604]...	no solution exists.
	Iteration #016: testing norm threshold 0.155598 in range [0.155592, 0.155604]...	no solution exists.


Factual sample: 		 {x0 : -2.254454543746456, x1 : -2.1397109051458494, y: False}
Nearest counterfactual sample:	 {x0 : 1.5476302060723919, x1 : -2.1397563227163894, y: True} (verified)
Minimum counterfactual distance: 0.155604
