Vpf* ddlZddlZddlmZddlmZddlmZddlmZddlm Z ddl m Z e j dddddd ejd d ZdS) N)dtypes)vmap)random) split_list)sparseg?TF)dtype indices_dtypensen_batchn_denseunique_indicessorted_indices generatorc tttj|}tj|}tj|}|dks|dks||zt |krt d|d|d|t ||z |z ttt ||g\} } tj| } tjdcxkrksnt dddcxkrdkr'nn$ttj ztj| fz| z}| fz}tj tjtjjkrt d d d t"fd }t%j|| dz}|d|dd}}| |f||d | }|||}t+j||f|}|r|n|S)aGenerate a random BCOO matrix. Args: key : PRNG key to be passed to ``generator`` function. shape : tuple specifying the shape of the array to be generated. dtype : dtype of the array to be generated. indices_dtype: dtype of the BCOO indices. nse : number of specified elements in the matrix, or if 0 < nse < 1, a fraction of sparse dimensions to be specified (default: 0.2). n_batch : number of batch dimensions. must satisfy ``n_batch >= 0`` and ``n_batch + n_dense <= len(shape)``. n_dense : number of batch dimensions. must satisfy ``n_dense >= 0`` and ``n_batch + n_dense <= len(shape)``. unique_indices : boolean specifying whether indices should be unique (default: True). sorted_indices : boolean specifying whether indices should be row-sorted in lexicographical order (default: False). generator : function for generating random values accepting a key, shape, and dtype. It defaults to :func:`jax.random.uniform`, and may be any function with a similar signature. **kwds : additional keyword arguments to pass to ``generator``. Returns: arr : a sparse.BCOO array with the specified properties. rzInvalid n_batch=z , n_dense=z for shape=zgot nse=z, expected to be between 0 and Nzindices_dtype=z? does not have enough range to generate sparse indices of size .cstjfStj|f }tjtj|S)N)r)shapereplace)jnpemptyrchoiceastype column_stack unravel_index)keyflat_indr n_sparser sparse_shape sparse_sizer s ^/var/www/html/nettyfy-visnx/env/lib/python3.11/site-packages/jax/experimental/sparse/random.py_indiceszrandom_bcoo.._indicesLsv = YXm < < <<}S+cV)7%79999? 9N9N  C-h EE F FF)rr)r)tuplemapoperatorindexlen ValueErrorrmathprodintceilrcanonicalize_dtyperint_iinfomaxrrsplitreshaperBCOO sort_indices)rrrr r r r r rrkwds batch_shape dense_shape batch_size data_shape indices_shaper"keysdata_key index_keysdataindicesmatrrr s `` ` @@@r! random_bcoorBs8 HNE** + +% N7 # #' N7 # #' q[[GaKK7W#4s5zz#A#A CCCGCC5CC D DD ZZ' !G +(+.ujRZH[6\6\+]+](+|[y%%* ,''+ c    K     NCNNNN O OO[[[[q[[[[[ dik)** + +Cs#cV#k1*h/--ch77M39]++/// > >>/:>>> ? ??GGGGGGGGG4G c:> * *$a$qrr(J( 8 C:U C Cd C C$ HZ ( ( 7 7' T7O5111#- 6     36r#)r*r&jaxrrrjax.utilr jax.numpynumpyrjax.experimentalrfloat_uniformrBr#r!rKs ######&)ZtAd$?7?7?7?7?7?7?7r#