

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


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 0.110944 in range [0.000000, 0.221888]...	no solution exists.
	Iteration #003: testing norm threshold 0.166416 in range [0.110944, 0.221888]...	no solution exists.
	Iteration #004: testing norm threshold 0.194152 in range [0.166416, 0.221888]...	no solution exists.
	Iteration #005: testing norm threshold 0.208020 in range [0.194152, 0.221888]...	no solution exists.
	Iteration #006: testing norm threshold 0.214954 in range [0.208020, 0.221888]...	solution exists & found.
	Iteration #007: testing norm threshold 0.211487 in range [0.208020, 0.214954]...	solution exists & found.
	Iteration #008: testing norm threshold 0.209754 in range [0.208020, 0.211487]...	solution exists & found.
	Iteration #009: testing norm threshold 0.208887 in range [0.208020, 0.209754]...	solution exists & found.
	Iteration #010: testing norm threshold 0.208454 in range [0.208020, 0.208887]...	no solution exists.
	Iteration #011: testing norm threshold 0.208670 in range [0.208454, 0.208887]...	solution exists & found.
	Iteration #012: testing norm threshold 0.208562 in range [0.208454, 0.208670]...	solution exists & found.
	Iteration #013: testing norm threshold 0.208508 in range [0.208454, 0.208562]...	solution exists & found.
	Iteration #014: testing norm threshold 0.208481 in range [0.208454, 0.208508]...	solution exists & found.
	Iteration #015: testing norm threshold 0.208467 in range [0.208454, 0.208481]...	no solution exists.
	Iteration #016: testing norm threshold 0.208474 in range [0.208467, 0.208481]...	solution exists & found.


Factual sample: 		 {x0 : -1.846911563131488, x1 : -2.180226191579666, y: False}
Nearest counterfactual sample:	 {x0 : 1.6539227925304358, x1 : -2.180226191579666, y: True} (verified)
Minimum counterfactual distance: 0.208474
