

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


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 0.066742 in range [0.000000, 0.133484]...	no solution exists.
	Iteration #003: testing norm threshold 0.100113 in range [0.066742, 0.133484]...	no solution exists.
	Iteration #004: testing norm threshold 0.116799 in range [0.100113, 0.133484]...	no solution exists.
	Iteration #005: testing norm threshold 0.125142 in range [0.116799, 0.133484]...	solution exists & found.
	Iteration #006: testing norm threshold 0.120970 in range [0.116799, 0.125142]...	solution exists & found.
	Iteration #007: testing norm threshold 0.118885 in range [0.116799, 0.120970]...	no solution exists.
	Iteration #008: testing norm threshold 0.119928 in range [0.118885, 0.120970]...	no solution exists.
	Iteration #009: testing norm threshold 0.120449 in range [0.119928, 0.120970]...	solution exists & found.
	Iteration #010: testing norm threshold 0.120188 in range [0.119928, 0.120449]...	solution exists & found.
	Iteration #011: testing norm threshold 0.120058 in range [0.119928, 0.120188]...	no solution exists.
	Iteration #012: testing norm threshold 0.120123 in range [0.120058, 0.120188]...	solution exists & found.
	Iteration #013: testing norm threshold 0.120091 in range [0.120058, 0.120123]...	no solution exists.
	Iteration #014: testing norm threshold 0.120107 in range [0.120091, 0.120123]...	no solution exists.
	Iteration #015: testing norm threshold 0.120115 in range [0.120107, 0.120123]...	solution exists & found.


Factual sample: 		 {x0 : -1.603746861066716, x1 : -1.3391901808511004, y: False}
Nearest counterfactual sample:	 {x0 : 1.469930870126298, x1 : -1.3391901808511004, y: True} (verified)
Minimum counterfactual distance: 0.120115
