

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


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 0.154751 in range [0.000000, 0.309502]...	no solution exists.
	Iteration #003: testing norm threshold 0.232127 in range [0.154751, 0.309502]...	no solution exists.
	Iteration #004: testing norm threshold 0.270815 in range [0.232127, 0.309502]...	solution exists & found.
	Iteration #005: testing norm threshold 0.251471 in range [0.232127, 0.270815]...	no solution exists.
	Iteration #006: testing norm threshold 0.261143 in range [0.251471, 0.270815]...	solution exists & found.
	Iteration #007: testing norm threshold 0.256307 in range [0.251471, 0.261143]...	no solution exists.
	Iteration #008: testing norm threshold 0.258725 in range [0.256307, 0.261143]...	no solution exists.
	Iteration #009: testing norm threshold 0.259934 in range [0.258725, 0.261143]...	solution exists & found.
	Iteration #010: testing norm threshold 0.259329 in range [0.258725, 0.259934]...	no solution exists.
	Iteration #011: testing norm threshold 0.259632 in range [0.259329, 0.259934]...	solution exists & found.
	Iteration #012: testing norm threshold 0.259481 in range [0.259329, 0.259632]...	no solution exists.
	Iteration #013: testing norm threshold 0.259556 in range [0.259481, 0.259632]...	no solution exists.
	Iteration #014: testing norm threshold 0.259594 in range [0.259556, 0.259632]...	solution exists & found.
	Iteration #015: testing norm threshold 0.259575 in range [0.259556, 0.259594]...	no solution exists.
	Iteration #016: testing norm threshold 0.259585 in range [0.259575, 0.259594]...	solution exists & found.


Factual sample: 		 {x0 : -3.214884173068361, x1 : -4.194757129393818, y: False}
Nearest counterfactual sample:	 {x0 : 3.1276761427038946, x1 : -4.194465972855507, y: True} (verified)
Minimum counterfactual distance: 0.259585
