

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_counterfactual,
                           'upper_bound': 3248030065897759/562949953421312}},
 'interventional': {'x0': {'lower_bound': -6807874525016055/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 6947641743653723/1125899906842624},
                    'x1': {'lower_bound': -3154661586673739/562949953421312,
                           'symbol': x1_interventional,
                           'upper_bound': 3248030065897759/562949953421312}},
 '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 5.000000 in range [0.000000, 10.000000]...	solution exists & found.
	Iteration #002: testing norm threshold 0.083731 in range [0.000000, 0.167462]...	no solution exists.
	Iteration #003: testing norm threshold 0.125597 in range [0.083731, 0.167462]...	no solution exists.
	Iteration #004: testing norm threshold 0.146530 in range [0.125597, 0.167462]...	no solution exists.
	Iteration #005: testing norm threshold 0.156996 in range [0.146530, 0.167462]...	solution exists & found.
	Iteration #006: testing norm threshold 0.151763 in range [0.146530, 0.156996]...	no solution exists.
	Iteration #007: testing norm threshold 0.154379 in range [0.151763, 0.156996]...	no solution exists.
	Iteration #008: testing norm threshold 0.155688 in range [0.154379, 0.156996]...	solution exists & found.
	Iteration #009: testing norm threshold 0.155034 in range [0.154379, 0.155688]...	no solution exists.
	Iteration #010: testing norm threshold 0.155361 in range [0.155034, 0.155688]...	solution exists & found.
	Iteration #011: testing norm threshold 0.155197 in range [0.155034, 0.155361]...	no solution exists.
	Iteration #012: testing norm threshold 0.155279 in range [0.155197, 0.155361]...	solution exists & found.
	Iteration #013: testing norm threshold 0.155238 in range [0.155197, 0.155279]...	no solution exists.
	Iteration #014: testing norm threshold 0.155259 in range [0.155238, 0.155279]...	solution exists & found.
	Iteration #015: testing norm threshold 0.155249 in range [0.155238, 0.155259]...	no solution exists.
	Iteration #016: testing norm threshold 0.155254 in range [0.155249, 0.155259]...	solution exists & found.


Factual sample: 		 {x0 : -2.558724664309711, x1 : -1.7330218182724446, y: False}
Nearest counterfactual sample:	 {x0 : 1.234833299556561, x1 : -1.733003905144375, y: True} (verified)
Minimum counterfactual distance: 0.155254
