

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


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 0.085662 in range [0.000000, 0.171325]...	no solution exists.
	Iteration #003: testing norm threshold 0.128494 in range [0.085662, 0.171325]...	solution exists & found.
	Iteration #004: testing norm threshold 0.101624 in range [0.085662, 0.117586]...	no solution exists.
	Iteration #005: testing norm threshold 0.109605 in range [0.101624, 0.117586]...	solution exists & found.
	Iteration #006: testing norm threshold 0.105615 in range [0.101624, 0.109606]...	solution exists & found.
	Iteration #007: testing norm threshold 0.103620 in range [0.101624, 0.105615]...	no solution exists.
	Iteration #008: testing norm threshold 0.104617 in range [0.103620, 0.105615]...	solution exists & found.
	Iteration #009: testing norm threshold 0.104119 in range [0.103620, 0.104618]...	no solution exists.
	Iteration #010: testing norm threshold 0.104368 in range [0.104119, 0.104618]...	solution exists & found.
	Iteration #011: testing norm threshold 0.104243 in range [0.104119, 0.104368]...	solution exists & found.
	Iteration #012: testing norm threshold 0.104181 in range [0.104119, 0.104244]...	no solution exists.
	Iteration #013: testing norm threshold 0.104212 in range [0.104181, 0.104244]...	no solution exists.
	Iteration #014: testing norm threshold 0.104228 in range [0.104212, 0.104244]...	solution exists & found.
	Iteration #015: testing norm threshold 0.104220 in range [0.104212, 0.104228]...	solution exists & found.


Factual sample: 		 {x0 : -1.691852442482733, x1 : -0.8531574714443182, y: False}
Nearest counterfactual sample:	 {x0 : 0.9743157201789205, x1 : -0.852478657881359, y: True} (verified)
Minimum counterfactual distance: 0.104220
