

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


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 0.060157 in range [0.000000, 0.120314]...	no solution exists.
	Iteration #003: testing norm threshold 0.090236 in range [0.060157, 0.120314]...	no solution exists.
	Iteration #004: testing norm threshold 0.105275 in range [0.090236, 0.120314]...	solution exists & found.
	Iteration #005: testing norm threshold 0.097755 in range [0.090236, 0.105275]...	solution exists & found.
	Iteration #006: testing norm threshold 0.093996 in range [0.090236, 0.097756]...	no solution exists.
	Iteration #007: testing norm threshold 0.095876 in range [0.093996, 0.097756]...	solution exists & found.
	Iteration #008: testing norm threshold 0.094936 in range [0.093996, 0.095876]...	no solution exists.
	Iteration #009: testing norm threshold 0.095406 in range [0.094936, 0.095876]...	solution exists & found.
	Iteration #010: testing norm threshold 0.095171 in range [0.094936, 0.095406]...	no solution exists.
	Iteration #011: testing norm threshold 0.095288 in range [0.095171, 0.095406]...	no solution exists.
	Iteration #012: testing norm threshold 0.095347 in range [0.095288, 0.095406]...	solution exists & found.
	Iteration #013: testing norm threshold 0.095318 in range [0.095288, 0.095347]...	no solution exists.
	Iteration #014: testing norm threshold 0.095332 in range [0.095318, 0.095347]...	solution exists & found.
	Iteration #015: testing norm threshold 0.095325 in range [0.095318, 0.095332]...	solution exists & found.


Factual sample: 		 {x0 : -1.2968452307676528, x1 : -1.0176056236749742, y: False}
Nearest counterfactual sample:	 {x0 : 1.1424374933190928, x1 : -1.0176331053969527, y: True} (verified)
Minimum counterfactual distance: 0.095325
