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# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from .validation import check_random_state
def _init_arpack_v0(size, random_state):
"""Initialize the starting vector for iteration in ARPACK functions.
Initialize a ndarray with values sampled from the uniform distribution on
[-1, 1]. This initialization model has been chosen to be consistent with
the ARPACK one as another initialization can lead to convergence issues.
Parameters
----------
size : int
The size of the eigenvalue vector to be initialized.
random_state : int, RandomState instance or None, default=None
The seed of the pseudo random number generator used to generate a
uniform distribution. If int, random_state is the seed used by the
random number generator; If RandomState instance, random_state is the
random number generator; If None, the random number generator is the
RandomState instance used by `np.random`.
Returns
-------
v0 : ndarray of shape (size,)
The initialized vector.
"""
random_state = check_random_state(random_state)
v0 = random_state.uniform(-1, 1, size)
return v0
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