def get_n_splits(self, X, y=None, labels=None):
"""Returns the number of splitting iterations in the cross-validator
Parameters
----------
X : array-like, shape (n_samples, n_features)
Training data, where n_samples is the number of samples
and n_features is the number of features.
y : object
Always ignored, exists for compatibility.
labels : object
Always ignored, exists for compatibility.
"""
if X is None:
raise ValueError("The X parameter should not be None")
return int(comb(_num_samples(X), self.p, exact=True))
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