

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


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 0.108502 in range [0.000000, 0.217004]...	no solution exists.
	Iteration #003: testing norm threshold 0.162753 in range [0.108502, 0.217004]...	solution exists & found.
	Iteration #004: testing norm threshold 0.135628 in range [0.108502, 0.162753]...	no solution exists.
	Iteration #005: testing norm threshold 0.149190 in range [0.135628, 0.162753]...	no solution exists.
	Iteration #006: testing norm threshold 0.155972 in range [0.149190, 0.162753]...	no solution exists.
	Iteration #007: testing norm threshold 0.159362 in range [0.155972, 0.162753]...	no solution exists.
	Iteration #008: testing norm threshold 0.161058 in range [0.159362, 0.162753]...	no solution exists.
	Iteration #009: testing norm threshold 0.161905 in range [0.161058, 0.162753]...	solution exists & found.
	Iteration #010: testing norm threshold 0.161482 in range [0.161058, 0.161906]...	no solution exists.
	Iteration #011: testing norm threshold 0.161694 in range [0.161482, 0.161906]...	no solution exists.
	Iteration #012: testing norm threshold 0.161800 in range [0.161694, 0.161906]...	solution exists & found.
	Iteration #013: testing norm threshold 0.161747 in range [0.161694, 0.161800]...	solution exists & found.
	Iteration #014: testing norm threshold 0.161720 in range [0.161694, 0.161747]...	solution exists & found.
	Iteration #015: testing norm threshold 0.161707 in range [0.161694, 0.161720]...	no solution exists.
	Iteration #016: testing norm threshold 0.161714 in range [0.161707, 0.161720]...	solution exists & found.


Factual sample: 		 {x0 : -2.1025873460708637, x1 : -1.8946677193932968, y: False}
Nearest counterfactual sample:	 {x0 : 2.0352267178530616, x1 : -1.8943633617689772, y: True} (verified)
Minimum counterfactual distance: 0.161714
