

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


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 0.074140 in range [0.000000, 0.148279]...	no solution exists.
	Iteration #003: testing norm threshold 0.111209 in range [0.074140, 0.148279]...	no solution exists.
	Iteration #004: testing norm threshold 0.129744 in range [0.111209, 0.148279]...	no solution exists.
	Iteration #005: testing norm threshold 0.139012 in range [0.129744, 0.148279]...	solution exists & found.
	Iteration #006: testing norm threshold 0.134378 in range [0.129744, 0.139012]...	no solution exists.
	Iteration #007: testing norm threshold 0.136695 in range [0.134378, 0.139012]...	solution exists & found.
	Iteration #008: testing norm threshold 0.135536 in range [0.134378, 0.136695]...	solution exists & found.
	Iteration #009: testing norm threshold 0.134957 in range [0.134378, 0.135537]...	solution exists & found.
	Iteration #010: testing norm threshold 0.134668 in range [0.134378, 0.134957]...	no solution exists.
	Iteration #011: testing norm threshold 0.134813 in range [0.134668, 0.134957]...	no solution exists.
	Iteration #012: testing norm threshold 0.134885 in range [0.134813, 0.134957]...	no solution exists.
	Iteration #013: testing norm threshold 0.134921 in range [0.134885, 0.134957]...	solution exists & found.
	Iteration #014: testing norm threshold 0.134903 in range [0.134885, 0.134921]...	no solution exists.
	Iteration #015: testing norm threshold 0.134912 in range [0.134903, 0.134921]...	solution exists & found.


Factual sample: 		 {x0 : -2.033455732022166, x1 : -1.2889855355822124, y: False}
Nearest counterfactual sample:	 {x0 : 1.4188164706416007, x1 : -1.2890322019414446, y: True} (verified)
Minimum counterfactual distance: 0.134912
