

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


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 0.095401 in range [0.000000, 0.190803]...	no solution exists.
	Iteration #003: testing norm threshold 0.143102 in range [0.095401, 0.190803]...	no solution exists.
	Iteration #004: testing norm threshold 0.166952 in range [0.143102, 0.190803]...	no solution exists.
	Iteration #005: testing norm threshold 0.178878 in range [0.166952, 0.190803]...	solution exists & found.
	Iteration #006: testing norm threshold 0.172915 in range [0.166952, 0.178878]...	no solution exists.
	Iteration #007: testing norm threshold 0.175896 in range [0.172915, 0.178878]...	no solution exists.
	Iteration #008: testing norm threshold 0.177387 in range [0.175896, 0.178878]...	no solution exists.
	Iteration #009: testing norm threshold 0.178132 in range [0.177387, 0.178878]...	solution exists & found.
	Iteration #010: testing norm threshold 0.177760 in range [0.177387, 0.178133]...	solution exists & found.
	Iteration #011: testing norm threshold 0.177574 in range [0.177387, 0.177760]...	solution exists & found.
	Iteration #012: testing norm threshold 0.177480 in range [0.177387, 0.177574]...	solution exists & found.
	Iteration #013: testing norm threshold 0.177434 in range [0.177387, 0.177480]...	solution exists & found.
	Iteration #014: testing norm threshold 0.177410 in range [0.177387, 0.177434]...	no solution exists.
	Iteration #015: testing norm threshold 0.177422 in range [0.177410, 0.177434]...	no solution exists.
	Iteration #016: testing norm threshold 0.177428 in range [0.177422, 0.177434]...	no solution exists.


Factual sample: 		 {x0 : -2.3382933844872174, x1 : -2.058228813690602, y: False}
Nearest counterfactual sample:	 {x0 : 2.2021041781128203, x1 : -2.0582560150489937, y: True} (verified)
Minimum counterfactual distance: 0.177434
