
    sg                          d Z ddlmZmZmZ ddlmZ ddlmZ ddl	m
Z
mZmZmZmZ ddlmZmZ  G d d	ed
      Z G d de
d
      Z G d de      Zy)z 
Processor class for Chameleon.
    )ListOptionalUnion   )BatchFeature)
ImageInput)ProcessingKwargsProcessorMixin
TextKwargsUnpack!_validate_images_text_input_order)PreTokenizedInput	TextInputc                       e Zd ZU eed<   y)ChameleonTextKwargsreturn_for_text_completionN)__name__
__module____qualname__bool__annotations__     e/var/www/html/venv/lib/python3.12/site-packages/transformers/models/chameleon/processing_chameleon.pyr   r      s     $$r   r   F)totalc                   ,    e Zd ZU eed<   dddddidZy)ChameleonProcessorKwargstext_kwargsF)paddingr   return_tensorspt)r   common_kwargsN)r   r   r   r   r   	_defaultsr   r   r   r   r      s(    $$ */

 d
Ir   r   c                        e Zd ZdZddgZdZdZddedef fdZ		 	 	 	 dd	e
e   d
e
eeeee   ee   f      dee   defdZd Zd Zed        Z xZS )ChameleonProcessora/  
    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 `"<image>"`):
            The special token used to indicate image in the text.
    image_processor	tokenizer)LlamaTokenizerLlamaTokenizerFastChameleonImageProcessorimage_seq_lengthimage_tokenc                     || _         t        |d      r|j                  n|| _        t        |d      r|j                  nd| _        t        |d      r|j
                  nd| _        t        | !  ||       y )Nr,   	boi_tokenz<racm3:break>	eoi_tokenz<eoss>)	r+   hasattrr,   r.   image_start_tokenr/   image_end_tokensuper__init__)selfr&   r'   r+   r,   	__class__s        r   r4   zChameleonProcessor.__init__C   sl     04;I}4U900[f#*9k#BI 	 7>i6Uy22[c)4r   imagestextkwargsreturnc                    t        ||      \  }}t        |t              r|g}n.t        |t              st        |d   t              st	        d      ||t        d       | j                  t        fd| j                  j                  i|}|d   j                  dd      }g }| j                  | j                  | j                  z  z   | j                  z   }	|D ]J  }
|
j                  | j                  |	      }
|s|
| j                  j                   z  }
|j#                  |
       L  | j                  |fi |d   }| | j$                  |fi |d   d	   |d	<   t'        ||d
   d         S )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 doctsring
        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`.
        r   zAInvalid input text. Please provide a string, or a list of stringsz&You must provide either text or imagestokenizer_init_kwargsr   r   Fimages_kwargspixel_valuesr"   r    )datatensor_type)r   
isinstancestrlist	TypeError
ValueError_merge_kwargsr   r'   init_kwargspopr1   r,   r+   r2   replace	sep_tokenappendr&   r   )r5   r7   r8   audiovideosr9   output_kwargsr   prompt_stringsone_img_tokenssampler?   s               r   __call__zChameleonProcessor.__call__M   s   R 9FdC 6DD$'
47C0H_``<FNEFF***$
"&.."<"<
 

 &3=%A%E%EFbdi%j" //43C3CdF[F[3[\_c_s_ss 	*F^^D$4$4nEF-$..222!!&)		* t~~nMm0LM#74#7#7#a-P_B`#abp#qD =3QRb3cddr   c                 :     | j                   j                  |i |S )z
        This method forwards all its arguments to LlamaTokenizerFast's [`~PreTrainedTokenizer.batch_decode`]. Please
        refer to the docstring of this method for more information.
        )r'   batch_decoder5   argsr9   s      r   rT   zChameleonProcessor.batch_decode   s     
 +t~~**D;F;;r   c                 :     | j                   j                  |i |S )z
        This method forwards all its arguments to LlamaTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please refer to
        the docstring of this method for more information.
        )r'   decoderU   s      r   rX   zChameleonProcessor.decode   s     
 %t~~$$d5f55r   c                     | j                   j                  }| j                  j                  }t        t        j                  ||z               S )N)r'   model_input_namesr&   rC   dictfromkeys)r5   tokenizer_input_namesimage_processor_input_namess      r   rZ   z$ChameleonProcessor.model_input_names   sA     !% @ @&*&:&:&L&L#DMM"7:U"UVWWr   )i   z<image>)NNNN)r   r   r   __doc__
attributestokenizer_classimage_processor_classintrB   r4   r   r   r   r   r   r   r   r   r   rR   rT   rX   propertyrZ   __classcell__)r6   s   @r   r%   r%   ,   s    $ $[1J>O55S 5^a 5 (,hlFe$Fe uY(94	?DQbLccdeFe 12Fe 
FeR<6 X Xr   r%   N)r_   typingr   r   r   feature_extraction_utilsr   image_utilsr   processing_utilsr	   r
   r   r   r   tokenization_utils_baser   r   r   r   r%   r   r   r   <module>rk      sN    ) ( 4 % w w C%*E %
/u 
~X ~Xr   