&VfjRddlZddlmZeddg d dZdS) N) keras_exportzkeras.utils.pad_sequencesz*keras.preprocessing.sequence.pad_sequencesint32prec t|dstdt|}g}d}d} |D]} |t| | r2t| r#t j| jdd}d} Z#t$r%} tdt| | d} ~ wwxYw|t j |}t j |tj pt j |tj } t|tr0|tkr%| s#td |d t|d t j||f|z|| } t#|D]\} }t|s|d kr || d}n$|dkr |d|}ntd|dt j|| }|jdd|kr%td|jddd| d||dkr|| | dt|f<|d kr|| | t| df<td|d| S)aPads sequences to the same length. This function transforms a list (of length `num_samples`) of sequences (lists of integers) into a 2D NumPy array of shape `(num_samples, num_timesteps)`. `num_timesteps` is either the `maxlen` argument if provided, or the length of the longest sequence in the list. Sequences that are shorter than `num_timesteps` are padded with `value` until they are `num_timesteps` long. Sequences longer than `num_timesteps` are truncated so that they fit the desired length. The position where padding or truncation happens is determined by the arguments `padding` and `truncating`, respectively. Pre-padding or removing values from the beginning of the sequence is the default. >>> sequence = [[1], [2, 3], [4, 5, 6]] >>> keras.utils.pad_sequences(sequence) array([[0, 0, 1], [0, 2, 3], [4, 5, 6]], dtype=int32) >>> keras.utils.pad_sequences(sequence, value=-1) array([[-1, -1, 1], [-1, 2, 3], [ 4, 5, 6]], dtype=int32) >>> keras.utils.pad_sequences(sequence, padding='post') array([[1, 0, 0], [2, 3, 0], [4, 5, 6]], dtype=int32) >>> keras.utils.pad_sequences(sequence, maxlen=2) array([[0, 1], [2, 3], [5, 6]], dtype=int32) Args: sequences: List of sequences (each sequence is a list of integers). maxlen: Optional Int, maximum length of all sequences. If not provided, sequences will be padded to the length of the longest individual sequence. dtype: (Optional, defaults to `"int32"`). Type of the output sequences. To pad sequences with variable length strings, you can use `object`. padding: String, "pre" or "post" (optional, defaults to `"pre"`): pad either before or after each sequence. truncating: String, "pre" or "post" (optional, defaults to `"pre"`): remove values from sequences larger than `maxlen`, either at the beginning or at the end of the sequences. value: Float or String, padding value. (Optional, defaults to 0.) Returns: NumPy array with shape `(len(sequences), maxlen)` __len__z`sequences` must be iterable.TNFz=`sequences` must be a list of iterables. Found non-iterable: z`dtype` z( is not compatible with `value`'s type: z; You should set `dtype=object` for variable length strings.)dtyperpostzTruncating type "z" not understoodzShape of sample z of sequence at position z" is different from expected shape zPadding type ")hasattr ValueErrorlenappendnpasarrayshape TypeErrorstrmax issubdtypestr_unicode_ isinstanceobjecttypefull enumerate) sequencesmaxlenr padding truncatingvalue num_sampleslengths sample_shapeflagxe is_dtype_stridxstruncs [/var/www/html/software/conda/lib/python3.11/site-packages/keras/src/utils/sequence_utils.py pad_sequencesr/sN 9i ( (:8999i..KGL D     NN3q66 " " " A !z!}}21226    0'*1vv00   ~=00BM r{55L% %6//,/ u  E{{      f% 4e5IIIAI&&IIQ1vv     vghhKEE 6 ! !gvgJEEMMMMNN N 5... ;qrr?l * *"5;qrr?""""""  f  #(Acr3s~------#4           r2