

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


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 0.103563 in range [0.000000, 0.207127]...	no solution exists.
	Iteration #003: testing norm threshold 0.155345 in range [0.103563, 0.207127]...	no solution exists.
	Iteration #004: testing norm threshold 0.181236 in range [0.155345, 0.207127]...	no solution exists.
	Iteration #005: testing norm threshold 0.194181 in range [0.181236, 0.207127]...	solution exists & found.
	Iteration #006: testing norm threshold 0.187709 in range [0.181236, 0.194181]...	no solution exists.
	Iteration #007: testing norm threshold 0.190945 in range [0.187709, 0.194181]...	no solution exists.
	Iteration #008: testing norm threshold 0.192563 in range [0.190945, 0.194181]...	no solution exists.
	Iteration #009: testing norm threshold 0.193372 in range [0.192563, 0.194181]...	no solution exists.
	Iteration #010: testing norm threshold 0.193777 in range [0.193372, 0.194181]...	solution exists & found.
	Iteration #011: testing norm threshold 0.193575 in range [0.193372, 0.193777]...	no solution exists.
	Iteration #012: testing norm threshold 0.193676 in range [0.193575, 0.193777]...	no solution exists.
	Iteration #013: testing norm threshold 0.193726 in range [0.193676, 0.193777]...	no solution exists.
	Iteration #014: testing norm threshold 0.193752 in range [0.193726, 0.193777]...	no solution exists.
	Iteration #015: testing norm threshold 0.193764 in range [0.193752, 0.193777]...	solution exists & found.
	Iteration #016: testing norm threshold 0.193758 in range [0.193752, 0.193764]...	solution exists & found.


Factual sample: 		 {x0 : -3.3959320568657305, x1 : -1.4298070063506805, y: False}
Nearest counterfactual sample:	 {x0 : 1.562187770855978, x1 : -1.4298376505670747, y: True} (verified)
Minimum counterfactual distance: 0.193758
