

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


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 0.136035 in range [0.000000, 0.272070]...	no solution exists.
	Iteration #003: testing norm threshold 0.204053 in range [0.136035, 0.272070]...	solution exists & found.
	Iteration #004: testing norm threshold 0.147842 in range [0.136035, 0.159649]...	solution exists & found.
	Iteration #005: testing norm threshold 0.141939 in range [0.136035, 0.147842]...	no solution exists.
	Iteration #006: testing norm threshold 0.144890 in range [0.141939, 0.147842]...	no solution exists.
	Iteration #007: testing norm threshold 0.146366 in range [0.144890, 0.147842]...	no solution exists.
	Iteration #008: testing norm threshold 0.147104 in range [0.146366, 0.147842]...	no solution exists.
	Iteration #009: testing norm threshold 0.147473 in range [0.147104, 0.147842]...	solution exists & found.
	Iteration #010: testing norm threshold 0.147289 in range [0.147104, 0.147473]...	no solution exists.
	Iteration #011: testing norm threshold 0.147381 in range [0.147289, 0.147473]...	no solution exists.
	Iteration #012: testing norm threshold 0.147427 in range [0.147381, 0.147473]...	no solution exists.
	Iteration #013: testing norm threshold 0.147450 in range [0.147427, 0.147473]...	solution exists & found.
	Iteration #014: testing norm threshold 0.147439 in range [0.147427, 0.147450]...	no solution exists.
	Iteration #015: testing norm threshold 0.147444 in range [0.147439, 0.147450]...	solution exists & found.


Factual sample: 		 {x0 : -2.1866365007707604, x1 : -1.9686200935555156, y: False}
Nearest counterfactual sample:	 {x0 : 1.4161235101773662, x1 : -1.9686200935555156, y: True} (verified)
Minimum counterfactual distance: 0.147444
