

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_counterfactual,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3138580266649255/562949953421312}},
 'interventional': {'x0': {'lower_bound': -3894893906706415/562949953421312,
                           'symbol': x0_interventional,
                           'upper_bound': 3307888273124183/562949953421312},
                    'x1': {'lower_bound': -101612442781781/17592186044416,
                           'symbol': x1_interventional,
                           'upper_bound': 3138580266649255/562949953421312}},
 '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 0.500000 in range [0.000000, 1.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.096900 in range [0.000000, 0.193801]...	no solution exists.
	Iteration #003: testing norm threshold 0.145351 in range [0.096900, 0.193801]...	no solution exists.
	Iteration #004: testing norm threshold 0.169576 in range [0.145351, 0.193801]...	solution exists & found.
	Iteration #005: testing norm threshold 0.157463 in range [0.145351, 0.169576]...	no solution exists.
	Iteration #006: testing norm threshold 0.163519 in range [0.157463, 0.169576]...	solution exists & found.
	Iteration #007: testing norm threshold 0.160491 in range [0.157463, 0.163520]...	no solution exists.
	Iteration #008: testing norm threshold 0.162005 in range [0.160491, 0.163520]...	solution exists & found.
	Iteration #009: testing norm threshold 0.161248 in range [0.160491, 0.162006]...	no solution exists.
	Iteration #010: testing norm threshold 0.161627 in range [0.161248, 0.162006]...	no solution exists.
	Iteration #011: testing norm threshold 0.161816 in range [0.161627, 0.162006]...	solution exists & found.
	Iteration #012: testing norm threshold 0.161722 in range [0.161627, 0.161816]...	solution exists & found.
	Iteration #013: testing norm threshold 0.161674 in range [0.161627, 0.161722]...	no solution exists.
	Iteration #014: testing norm threshold 0.161698 in range [0.161674, 0.161722]...	no solution exists.
	Iteration #015: testing norm threshold 0.161710 in range [0.161698, 0.161722]...	no solution exists.
	Iteration #016: testing norm threshold 0.161716 in range [0.161710, 0.161722]...	solution exists & found.


Factual sample: 		 {x0 : -2.1025873460708637, x1 : -1.8946677193932968, y: False}
Nearest counterfactual sample:	 {x0 : 2.0349829957835124, x1 : -1.8940953694013407, y: True} (verified)
Minimum counterfactual distance: 0.161716
