uki+ ddlZddlZddlmZddlmZddlmZddlmZddl m Z ddl m Z e jdddddd ejd d Zy) N)vmap)random)dtypes) split_list)sparseg?TF)dtype indices_dtypensen_batchn_denseunique_indicessorted_indices generatorc @tttj|}tj|}tj|}|dks|dks||zt |kDrt d|d|d|t ||z |z ttt ||g\} } tj| } tjdcxkrksnt dddcxkrdkr$nn!ttjztj| fz| z}| fz}tjtjjkDrt d d d t fd }t#j$|| dz}|d|dd}}| |f||d | }||j'|}t)j*||f|}|r|j-S|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 j }tj tj |S)N)r)shapereplace)jnpemptyrchoiceastype column_stack unravel_index)keyflat_indr n_sparser sparse_shape sparse_sizer s Y/home/cdr/jupyterlab/.venv/lib/python3.12/site-packages/jax/experimental/sparse/random.py_indiceszrandom_bcoo.._indicesLsb  YYXm <<}}S+cV)7%799? 9N   C--h E FF)rr)r)tuplemapoperatorindexlen ValueErrorrmathprodintceilrdefault_int_dtyperiinfomaxrrsplitreshaperBCOO 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_bcoorAs8 HNNE* +% NN7 #' NN7 #' q[GaK7W#4s5z#A (zG:\5(C DD Z' !G +(+.ujRZH[6\+](+|[yy%* ,'+ c K  yC6!@ N OO[q[ diik)* +Cs#cV#k1*h/-,,.M399]+///  '(//:m1> ??GGG c:> *$a$qr(J( 8 C:U Cd C$ Z ( ( 7' T7O51#-   636r#)r*r&jaxrrjax._srcr jax._src.utilr jax.numpynumpyrjax.experimentalrfloat_uniformrAr#r!rKsA $#&)ZZtAd$?7r#