

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


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 0.151878 in range [0.000000, 0.303756]...	no solution exists.
	Iteration #003: testing norm threshold 0.227817 in range [0.151878, 0.303756]...	solution exists & found.
	Iteration #004: testing norm threshold 0.184660 in range [0.151878, 0.217442]...	no solution exists.
	Iteration #005: testing norm threshold 0.201051 in range [0.184660, 0.217442]...	no solution exists.
	Iteration #006: testing norm threshold 0.209246 in range [0.201051, 0.217442]...	solution exists & found.
	Iteration #007: testing norm threshold 0.205149 in range [0.201051, 0.209246]...	no solution exists.
	Iteration #008: testing norm threshold 0.207197 in range [0.205149, 0.209246]...	solution exists & found.
	Iteration #009: testing norm threshold 0.206173 in range [0.205149, 0.207198]...	solution exists & found.
	Iteration #010: testing norm threshold 0.205661 in range [0.205149, 0.206173]...	solution exists & found.
	Iteration #011: testing norm threshold 0.205405 in range [0.205149, 0.205661]...	solution exists & found.
	Iteration #012: testing norm threshold 0.205277 in range [0.205149, 0.205405]...	solution exists & found.
	Iteration #013: testing norm threshold 0.205213 in range [0.205149, 0.205277]...	no solution exists.
	Iteration #014: testing norm threshold 0.205245 in range [0.205213, 0.205277]...	solution exists & found.
	Iteration #015: testing norm threshold 0.205229 in range [0.205213, 0.205245]...	no solution exists.
	Iteration #016: testing norm threshold 0.205237 in range [0.205229, 0.205245]...	solution exists & found.


Factual sample: 		 {x0 : -2.3219492816227603, x1 : -3.6291014285937706, y: False}
Nearest counterfactual sample:	 {x0 : 2.692950688189231, x1 : -3.6291014285937706, y: True} (verified)
Minimum counterfactual distance: 0.205237
