

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


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 0.138354 in range [0.000000, 0.276709]...	no solution exists.
	Iteration #003: testing norm threshold 0.207532 in range [0.138354, 0.276709]...	no solution exists.
	Iteration #004: testing norm threshold 0.242120 in range [0.207532, 0.276709]...	solution exists & found.
	Iteration #005: testing norm threshold 0.223262 in range [0.207532, 0.238993]...	no solution exists.
	Iteration #006: testing norm threshold 0.231127 in range [0.223262, 0.238993]...	solution exists & found.
	Iteration #007: testing norm threshold 0.227195 in range [0.223262, 0.231128]...	solution exists & found.
	Iteration #008: testing norm threshold 0.225229 in range [0.223262, 0.227195]...	no solution exists.
	Iteration #009: testing norm threshold 0.226212 in range [0.225229, 0.227195]...	no solution exists.
	Iteration #010: testing norm threshold 0.226703 in range [0.226212, 0.227195]...	no solution exists.
	Iteration #011: testing norm threshold 0.226949 in range [0.226703, 0.227195]...	solution exists & found.
	Iteration #012: testing norm threshold 0.226826 in range [0.226703, 0.226949]...	solution exists & found.
	Iteration #013: testing norm threshold 0.226765 in range [0.226703, 0.226826]...	no solution exists.
	Iteration #014: testing norm threshold 0.226796 in range [0.226765, 0.226826]...	solution exists & found.
	Iteration #015: testing norm threshold 0.226780 in range [0.226765, 0.226796]...	no solution exists.
	Iteration #016: testing norm threshold 0.226788 in range [0.226780, 0.226796]...	solution exists & found.


Factual sample: 		 {x0 : -2.371381201686776, x1 : -4.249633438267633, y: False}
Nearest counterfactual sample:	 {x0 : 3.170117129815119, x1 : -4.249633438267633, y: True} (verified)
Minimum counterfactual distance: 0.226788
