2VhlDddlZddlmZeddg ddZy)N) keras_exportzkeras.utils.pad_sequencesz*keras.preprocessing.sequence.pad_sequencesc Pt|ds tdt|}g}d}d} |D]N} |jt| | r/t| r$t j | j dd}d} P|t j|}t j|tjxs$t j|tj} t|tr%|tur| std |d t|d t j||f|z|| } t!|D]\} }t|s|d k(r|| d}n|dk(r|d|}ntd|dt j || }|j dd|k7r!td|j ddd| d||dk(r|| | dt|f<|d k(r|| | t| df<td|d| S#t$r} tdt| | d} ~ wwxYw)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.)dtypeprepostzTruncating type "z" not understoodzShape of sample z of sequence at position z" is different from expected shape zPadding type ")hasattr ValueErrorlenappendnpasarrayshape TypeErrorstrmax issubdtypestr_ isinstanceobjecttypefull enumerate) sequencesmaxlenrpadding truncatingvalue num_sampleslengths sample_shapeflagxe is_dtype_stridxstruncs N/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/utils/sequence_utils.py pad_sequencesr,spN 9i (899i.KGL D    NN3q6 "A!zz!}22126  ~==0BMM rww5L%%v"5lugEE{m   f% 4e5IAI&IQ1v   vghKE 6 !gvJE0 r1sB-#4       r0