

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


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 0.186275 in range [0.000000, 0.372550]...	no solution exists.
	Iteration #003: testing norm threshold 0.279412 in range [0.186275, 0.372550]...	no solution exists.
	Iteration #004: testing norm threshold 0.325981 in range [0.279412, 0.372550]...	solution exists & found.
	Iteration #005: testing norm threshold 0.302697 in range [0.279412, 0.325981]...	no solution exists.
	Iteration #006: testing norm threshold 0.314339 in range [0.302697, 0.325981]...	no solution exists.
	Iteration #007: testing norm threshold 0.320160 in range [0.314339, 0.325981]...	solution exists & found.
	Iteration #008: testing norm threshold 0.317249 in range [0.314339, 0.320160]...	no solution exists.
	Iteration #009: testing norm threshold 0.318705 in range [0.317249, 0.320160]...	solution exists & found.
	Iteration #010: testing norm threshold 0.317977 in range [0.317249, 0.318705]...	solution exists & found.
	Iteration #011: testing norm threshold 0.317613 in range [0.317249, 0.317977]...	solution exists & found.
	Iteration #012: testing norm threshold 0.317431 in range [0.317249, 0.317613]...	solution exists & found.
	Iteration #013: testing norm threshold 0.317341 in range [0.317249, 0.317432]...	solution exists & found.
	Iteration #014: testing norm threshold 0.317295 in range [0.317249, 0.317341]...	solution exists & found.
	Iteration #015: testing norm threshold 0.317272 in range [0.317249, 0.317295]...	solution exists & found.
	Iteration #016: testing norm threshold 0.317261 in range [0.317249, 0.317272]...	solution exists & found.
	Iteration #017: testing norm threshold 0.317255 in range [0.317249, 0.317261]...	no solution exists.


Factual sample: 		 {x0 : -4.801236885392446, x1 : -3.153308934978272, y: False}
Nearest counterfactual sample:	 {x0 : 3.3172441256562624, x1 : -3.1533474495353944, y: True} (verified)
Minimum counterfactual distance: 0.317261
