

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


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 0.199535 in range [0.000000, 0.399069]...	no solution exists.
	Iteration #003: testing norm threshold 0.299302 in range [0.199535, 0.399069]...	solution exists & found.
	Iteration #004: testing norm threshold 0.249418 in range [0.199535, 0.299302]...	no solution exists.
	Iteration #005: testing norm threshold 0.274360 in range [0.249418, 0.299302]...	solution exists & found.
	Iteration #006: testing norm threshold 0.256987 in range [0.249418, 0.264556]...	solution exists & found.
	Iteration #007: testing norm threshold 0.253203 in range [0.249418, 0.256987]...	solution exists & found.
	Iteration #008: testing norm threshold 0.251311 in range [0.249418, 0.253203]...	no solution exists.
	Iteration #009: testing norm threshold 0.252257 in range [0.251311, 0.253203]...	solution exists & found.
	Iteration #010: testing norm threshold 0.251784 in range [0.251311, 0.252257]...	no solution exists.
	Iteration #011: testing norm threshold 0.252020 in range [0.251784, 0.252257]...	no solution exists.
	Iteration #012: testing norm threshold 0.252139 in range [0.252020, 0.252257]...	no solution exists.
	Iteration #013: testing norm threshold 0.252198 in range [0.252139, 0.252257]...	solution exists & found.
	Iteration #014: testing norm threshold 0.252168 in range [0.252139, 0.252198]...	solution exists & found.
	Iteration #015: testing norm threshold 0.252153 in range [0.252139, 0.252168]...	solution exists & found.
	Iteration #016: testing norm threshold 0.252146 in range [0.252139, 0.252154]...	no solution exists.


Factual sample: 		 {x0 : -3.385109406125654, x1 : -3.5854519668695968, y: False}
Nearest counterfactual sample:	 {x0 : 2.776186328672994, x1 : -3.5854519668695968, y: True} (verified)
Minimum counterfactual distance: 0.252153
