fTh"SrSSKJrJrJr SSKJr SSKJr SSK J r J r J r J r Jr SSKJrJr "SS \ S S 9r"S S \ S S 9r"SS\ 5rS/rg)z Processor class for Chameleon. )ListOptionalUnion) BatchFeature) ImageInput)ProcessingKwargsProcessorMixin TextKwargsUnpack!_validate_images_text_input_order)PreTokenizedInput TextInputc \rSrSr%\\S'Srg)ChameleonTextKwargsreturn_for_text_completionN)__name__ __module__ __qualname____firstlineno__bool__annotations____static_attributes__rj/var/www/auris/envauris/lib/python3.13/site-packages/transformers/models/chameleon/processing_chameleon.pyrrs $$rrF)totalc4\rSrSr%\\S'SSS.SS0S.rSrg ) ChameleonProcessorKwargs text_kwargsF)paddingrreturn_tensorspt)r" common_kwargsrN)rrrrrr _defaultsrrrrr r s($$*/ d Irr c ^\rSrSrSrSS/rSrSS/rSrSS\ S\ 4U4S jjjr SS \ \ S \ \\\\\\\4S \\S \4SjjrSrSr\S5rSrU=r$)ChameleonProcessor,a Constructs a Chameleon processor which wraps a Chameleon image processor and a Chameleon tokenizer into a single processor. [`ChameleonProcessor`] offers all the functionalities of [`ChameleonImageProcessor`] and [`LlamaTokenizerFast`]. See the [`~ChameleonProcessor.__call__`] and [`~ChameleonProcessor.decode`] for more information. Args: image_processor ([`ChameleonImageProcessor`]): The image processor is a required input. tokenizer ([`LlamaTokenizerFast`]): The tokenizer is a required input. image_seq_length (`int`, *optional*, defaults to 1024): Sequence length of one image embedding. image_token (`str`, *optional*, defaults to `""`): The special token used to indicate image in the text. image_processor tokenizer)LlamaTokenizerLlamaTokenizerFastimage_seq_length image_tokenChameleonImageProcessorcH>X0l[US5(a UROUUlURUR5Ul[US5(a UR OSUl[US5(a UROSUl[TU])X5 g)Nr0 boi_tokenz eoi_tokenz) r/hasattrr0convert_tokens_to_idsimage_token_idr3image_start_tokenr4image_end_tokensuper__init__)selfr+r,r/r0 __class__s rr;ChameleonProcessor.__init__Ds 04;I}4U4U900[f'==d>N>NO#*9k#B#BI   7>i6U6Uy22[c 4rimagestextkwargsreturnc @[X5up[U[5(aU/nO8[U[5(d#[US[5(d [ S5eUcUc [ S5eUR "[4SURR0UD6nUSRSS5n/nURURUR--UR-n UHOn U RURU 5n U(dXRR - n UR#U 5 MQ USRS S5n UR"U40USD6n UR%XS /S 9 UbUR&"U40US D6S U S '[)XS9$)a Main method to prepare for the model one or several sequences(s) and image(s). This method forwards the `text` and `kwargs` arguments to LlamaTokenizerFast's [`~LlamaTokenizerFast.__call__`] if `text` is not `None` to encode the text. To prepare the image(s), this method forwards the `images` and `kwrags` arguments to CLIPImageProcessor's [`~CLIPImageProcessor.__call__`] if `images` is not `None`. Please refer to the docstring of the above two methods for more information. Args: images (`PIL.Image.Image`, `np.ndarray`, `torch.Tensor`, `List[PIL.Image.Image]`, `List[np.ndarray]`, `List[torch.Tensor]`): The image or batch of images to be prepared. Each image can be a PIL image, NumPy array or PyTorch tensor. Both channels-first and channels-last formats are supported. text (`str`, `List[str]`, `List[List[str]]`): The sequence or batch of sequences to be encoded. Each sequence can be a string or a list of strings (pretokenized string). If the sequences are provided as list of strings (pretokenized), you must set `is_split_into_words=True` (to lift the ambiguity with a batch of sequences). return_tensors (`str` or [`~utils.TensorType`], *optional*): If set, will return tensors of a particular framework. Acceptable values are: - `'tf'`: Return TensorFlow `tf.constant` objects. - `'pt'`: Return PyTorch `torch.Tensor` objects. - `'np'`: Return NumPy `np.ndarray` objects. - `'jax'`: Return JAX `jnp.ndarray` objects. Returns: [`BatchFeature`]: A [`BatchFeature`] with the following fields: - **input_ids** -- List of token ids to be fed to a model. Returned when `text` is not `None`. - **attention_mask** -- List of indices specifying which tokens should be attended to by the model (when `return_attention_mask=True` or if *"attention_mask"* is in `self.model_input_names` and if `text` is not `None`). - **pixel_values** -- Pixel values to be fed to a model. Returned when `images` is not `None`. rzAInvalid input text. Please provide a string, or a list of stringsNz&You must provide either text or imagestokenizer_init_kwargsr"rFr$image) modalities images_kwargs pixel_values)data tensor_type)r isinstancestrlist TypeError ValueError _merge_kwargsr r, init_kwargspopr8r0r/r9replace sep_tokenappend_check_special_mm_tokensr+r) r<r?r@audiovideosrA output_kwargsrprompt_stringsone_img_tokenssampler$rIs r__call__ChameleonProcessor.__call__OsR9F  dC 6DD$'' 47C0H0H_` ` !% @ @&*&:&:&L&L#DMM"7"UVWWr)r9r/r8r0r7)iz)NNNN)rrrr__doc__ attributestokenizer_class valid_kwargsimage_processor_classintrLr;rrrrrrr r rr]r`repropertyrhr __classcell__)r=s@rr)r),s$$[1J>O& 6L5 5S 5^a 5 5(,hl HC$HCuY(94 ?DQbLccdeHC 12 HC HCV<6XXrr)N)rntypingrrrfeature_extraction_utilsr image_utilsrprocessing_utilsr r r r r tokenization_utils_baserrrr r)__all__rrrr|sY)(4%wwC%*E% /u BXBXJ r