

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


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 0.090570 in range [0.000000, 0.181140]...	no solution exists.
	Iteration #003: testing norm threshold 0.135855 in range [0.090570, 0.181140]...	no solution exists.
	Iteration #004: testing norm threshold 0.158497 in range [0.135855, 0.181140]...	no solution exists.
	Iteration #005: testing norm threshold 0.169819 in range [0.158497, 0.181140]...	solution exists & found.
	Iteration #006: testing norm threshold 0.164158 in range [0.158497, 0.169819]...	no solution exists.
	Iteration #007: testing norm threshold 0.166988 in range [0.164158, 0.169819]...	no solution exists.
	Iteration #008: testing norm threshold 0.168404 in range [0.166988, 0.169819]...	solution exists & found.
	Iteration #009: testing norm threshold 0.167696 in range [0.166988, 0.168404]...	no solution exists.
	Iteration #010: testing norm threshold 0.168050 in range [0.167696, 0.168404]...	solution exists & found.
	Iteration #011: testing norm threshold 0.167873 in range [0.167696, 0.168050]...	solution exists & found.
	Iteration #012: testing norm threshold 0.167784 in range [0.167696, 0.167873]...	solution exists & found.
	Iteration #013: testing norm threshold 0.167740 in range [0.167696, 0.167785]...	no solution exists.
	Iteration #014: testing norm threshold 0.167762 in range [0.167740, 0.167785]...	no solution exists.
	Iteration #015: testing norm threshold 0.167774 in range [0.167762, 0.167785]...	solution exists & found.
	Iteration #016: testing norm threshold 0.167768 in range [0.167762, 0.167774]...	solution exists & found.


Factual sample: 		 {x0 : -2.0072127146989525, x1 : -2.1405315799325875, y: False}
Nearest counterfactual sample:	 {x0 : 2.2858713049895614, x1 : -2.140534216885321, y: True} (verified)
Minimum counterfactual distance: 0.167768
