

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


Model Symbols:
{'counterfactual': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_counterfactual,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_counterfactual,
                           'upper_bound': 8913627213352543/2251799813685248}},
 'interventional': {'x0': {'lower_bound': -4677299678594081/1125899906842624,
                           'symbol': x0_interventional,
                           'upper_bound': 597016253335045/140737488355328},
                    'x1': {'lower_bound': -8649541274119025/2251799813685248,
                           'symbol': x1_interventional,
                           'upper_bound': 8913627213352543/2251799813685248}},
 '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 0.196459 in range [0.000000, 0.392918]...	no solution exists.
	Iteration #003: testing norm threshold 0.294689 in range [0.196459, 0.392918]...	solution exists & found.
	Iteration #004: testing norm threshold 0.242059 in range [0.196459, 0.287659]...	no solution exists.
	Iteration #005: testing norm threshold 0.264859 in range [0.242059, 0.287659]...	no solution exists.
	Iteration #006: testing norm threshold 0.276259 in range [0.264859, 0.287659]...	solution exists & found.
	Iteration #007: testing norm threshold 0.270559 in range [0.264859, 0.276259]...	no solution exists.
	Iteration #008: testing norm threshold 0.273409 in range [0.270559, 0.276259]...	no solution exists.
	Iteration #009: testing norm threshold 0.274834 in range [0.273409, 0.276259]...	solution exists & found.
	Iteration #010: testing norm threshold 0.274122 in range [0.273409, 0.274834]...	no solution exists.
	Iteration #011: testing norm threshold 0.274478 in range [0.274122, 0.274834]...	solution exists & found.
	Iteration #012: testing norm threshold 0.274300 in range [0.274122, 0.274478]...	solution exists & found.
	Iteration #013: testing norm threshold 0.274211 in range [0.274122, 0.274300]...	no solution exists.
	Iteration #014: testing norm threshold 0.274256 in range [0.274211, 0.274300]...	solution exists & found.
	Iteration #015: testing norm threshold 0.274233 in range [0.274211, 0.274256]...	no solution exists.
	Iteration #016: testing norm threshold 0.274245 in range [0.274233, 0.274256]...	solution exists & found.
	Iteration #017: testing norm threshold 0.274239 in range [0.274233, 0.274245]...	no solution exists.


Factual sample: 		 {x0 : -2.765899358774535, x1 : -2.415578816078148, y: False}
Nearest counterfactual sample:	 {x0 : 1.8392563824493635, x1 : -2.41544731124106, y: True} (verified)
Minimum counterfactual distance: 0.274245
