在StreamDef中,is_sparse是一个布尔值,用于指示数据流是否是稀疏的。稀疏数据是指具有大量零值或缺失值的数据。当is_sparse为true时,表示数据流中存在大量的零值或缺失值;当is_sparse为false时,表示数据流中的值较为密集,没有太多的零值或缺失值。 稀疏数据在某些场景下具有一定的优势。首先,稀疏数据可以节省存储空...
defis_na(self):ifself.blockisNone:returnTrueifnotself.block._can_hold_na:returnFalse# Usually it's enough to check but a small fraction of values to see if# a block is NOT null, chunks should help in such cases. 1000 value# was chosen rather arbitrarily.values = self.block.valuesifs...
self.information("Data has been sampled") data_sample = data.sample_time(1, no_cache=True) data_sample.download_data(2000, partial=True) data = Table(data_sample)else:# data was big and remote availableself.sampling_box.setVisible(True) self.start_button.setText("Start remote computation")...
Fixed by#19737
Fixed by#19737
随着方块操练技能的普及,App运用的第四次创新现在现已到来,去中心化或者说“DAPP”的概念最近在以太坊...
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paddle.is_compiled_with_cuda: True result: Tensor(shape=[2, 2], dtype=float32, place=Place(gpu:0), stop_gradient=True, [[-0.23762426, 0.12281346], [-0.76296163, 1.12001348]]) csr: Tensor(shape=[3, 3], dtype=paddle.float32, place=Place(gpu:0), stop_gradient=True, crows=[0, 1,...
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all in all, it is because isSparseMatrix() should return one logical value-TRUE/FALSE but now it return two logical values and both them are FALSE !!!remember to save the changes step10: edit expr_modles.R at line 454: change "isSparseMatrix(exprs(cds))" into "isSparseMatrix(exprs(...