

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


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 0.107233 in range [0.000000, 0.214467]...	no solution exists.
	Iteration #003: testing norm threshold 0.160850 in range [0.107233, 0.214467]...	no solution exists.
	Iteration #004: testing norm threshold 0.187659 in range [0.160850, 0.214467]...	no solution exists.
	Iteration #005: testing norm threshold 0.201063 in range [0.187659, 0.214467]...	no solution exists.
	Iteration #006: testing norm threshold 0.207765 in range [0.201063, 0.214467]...	solution exists & found.
	Iteration #007: testing norm threshold 0.204414 in range [0.201063, 0.207765]...	solution exists & found.
	Iteration #008: testing norm threshold 0.202738 in range [0.201063, 0.204414]...	solution exists & found.
	Iteration #009: testing norm threshold 0.201901 in range [0.201063, 0.202739]...	solution exists & found.
	Iteration #010: testing norm threshold 0.201482 in range [0.201063, 0.201901]...	solution exists & found.
	Iteration #011: testing norm threshold 0.201272 in range [0.201063, 0.201482]...	solution exists & found.
	Iteration #012: testing norm threshold 0.201168 in range [0.201063, 0.201272]...	solution exists & found.
	Iteration #013: testing norm threshold 0.201115 in range [0.201063, 0.201168]...	solution exists & found.
	Iteration #014: testing norm threshold 0.201089 in range [0.201063, 0.201115]...	no solution exists.
	Iteration #015: testing norm threshold 0.201102 in range [0.201089, 0.201115]...	solution exists & found.
	Iteration #016: testing norm threshold 0.201096 in range [0.201089, 0.201102]...	solution exists & found.


Factual sample: 		 {x0 : -1.675181139857952, x1 : -3.304092943981274, y: False}
Nearest counterfactual sample:	 {x0 : 3.4706384745257295, x1 : -3.3040011151786177, y: True} (verified)
Minimum counterfactual distance: 0.201096
