sample(obj_len: 'int', size: 'int', replace: 'bool', weights: 'np.ndarray | None', random_state: 'np.random.RandomState | np.random.Generator') -> 'np.ndarray'
The length of the indices being considered
The number of values to choose
Allow or disallow sampling of the same row more than once.
If None, equal probability weighting, otherwise weights according to the vector normalized
State used for the random sampling
Randomly sample :None:None:`size` indices in :None:None:`np.arange(obj_len)`
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