ó ±h¹ćó•SSKJr Srg)é)Ścheck_random_statecóB•[U5nURSSU5nU$)aSInitialize 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. é’’’’r)rŚuniform)ŚsizeŚ random_stateŚv0s ŚM/var/www/html/shao/venv/lib/python3.13/site-packages/sklearn/utils/_arpack.pyŚ_init_arpack_v0r s'€ō0& lÓ3€LŲ × Ń ˜b ! TÓ *€BŲ €IóN)Ś validationrr ©r r Śrsšõ+ór