DDjddlmZdZy))check_random_statecBt|}|jdd|}|S)aInitialize 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. r)runiform)size random_statev0s YC:\Crop_Prediction\Backend\crop-ai-system\venv\Lib\site-packages\sklearn/utils/_arpack.py_init_arpack_v0r s'0&l3L   b!T *B IN) validationrr r r rs *r