




'''simple docstring'''




import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


a_   :	Optional[Any]							   = logging.get_logger(__name__)

a_   :	List[str]							   = {
    """google/vit-hybrid-base-bit-384""": """https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json""",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}


class 						__UpperCamelCase (				lowerCamelCase__       ):
       lowercase			:					str   		='vit-hybrid'






       def __init__(							self,	lowerCAmelCase=None,	lowerCAmelCase=768,	lowerCAmelCase=12,	lowerCAmelCase=12,	lowerCAmelCase=3_072,	lowerCAmelCase="gelu",	lowerCAmelCase=0.0,	lowerCAmelCase=0.0,	lowerCAmelCase=0.0_2,	lowerCAmelCase=1e-12,	lowerCAmelCase=224,	lowerCAmelCase=1,	lowerCAmelCase=3,	lowerCAmelCase=[1, 1_024, 24, 24],	lowerCAmelCase=True,	**lowerCAmelCase,	):



              """simple docstring"""







              super().__init__(**lowerCAmelCase						)

              if backbone_config is None:
                     logger.info('''`backbone_config` is `None`. Initializing the config with a `BiT` backbone.'''						)
                     lowerCamelCase_							={
                         '''global_padding''': '''same''',
                         '''layer_type''': '''bottleneck''',
                         '''depths''': [3, 4, 9],
                         '''out_features''': ['''stage3'''],
                         '''embedding_dynamic_padding''': True,
                     }

              if isinstance(lowerCAmelCase,	lowerCAmelCase						):
                     if "model_type" in backbone_config:
                            lowerCamelCase_							=CONFIG_MAPPING[backbone_config['''model_type''']]
                     else:
                            logger.info(
                                '''`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.'''						)
                            lowerCamelCase_							=BitConfig
                     lowerCamelCase_							=backbone_config_class(**lowerCAmelCase						)

              lowerCamelCase_							=backbone_featmap_shape
              lowerCamelCase_							=backbone_config
              lowerCamelCase_							=hidden_size
              lowerCamelCase_							=num_hidden_layers
              lowerCamelCase_							=num_attention_heads
              lowerCamelCase_							=intermediate_size
              lowerCamelCase_							=hidden_act
              lowerCamelCase_							=hidden_dropout_prob
              lowerCamelCase_							=attention_probs_dropout_prob
              lowerCamelCase_							=initializer_range
              lowerCamelCase_							=layer_norm_eps
              lowerCamelCase_							=image_size
              lowerCamelCase_							=patch_size
              lowerCamelCase_							=num_channels
              lowerCamelCase_							=qkv_bias






       def   lowercase__  (							self						):



              """simple docstring"""







              lowerCamelCase_							=copy.deepcopy(self.__dict__						)
              lowerCamelCase_							=self.backbone_config.to_dict()
              lowerCamelCase_							=self.__class__.model_type
              return output










'''simple docstring'''




from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_clip import CLIPTokenizer


a_   :	Tuple							   = logging.get_logger(__name__)

a_   :	str							   = {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_   :	Tuple							   = {
    """vocab_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """openai/clip-vit-base-patch32""": """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """openai/clip-vit-base-patch32""": (
            """https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json"""
        ),
    },
}

a_   :	str							   = {
    """openai/clip-vit-base-patch32""": 77,
}


class 						__UpperCamelCase (				lowerCamelCase__       ):
       lowercase			:					Union[str, Any]   		=VOCAB_FILES_NAMES
       lowercase			:					Optional[int]   		=PRETRAINED_VOCAB_FILES_MAP
       lowercase			:					Any   		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowercase			:					str   		=['input_ids', 'attention_mask']
       lowercase			:					List[Any]   		=CLIPTokenizer






       def __init__(							self,	lowerCAmelCase=None,	lowerCAmelCase=None,	lowerCAmelCase=None,	lowerCAmelCase="<|endoftext|>",	lowerCAmelCase="<|startoftext|>",	lowerCAmelCase="<|endoftext|>",	lowerCAmelCase="<|endoftext|>",	**lowerCAmelCase,	):



              """simple docstring"""







              super().__init__(
                  lowerCAmelCase,	lowerCAmelCase,	tokenizer_file=lowerCAmelCase,	unk_token=lowerCAmelCase,	bos_token=lowerCAmelCase,	eos_token=lowerCAmelCase,	pad_token=lowerCAmelCase,	**lowerCAmelCase,	)

              if not isinstance(self.backend_tokenizer.pre_tokenizer,	pre_tokenizers.Sequence						):
                     raise ValueError(
                         '''The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been'''
                         ''' heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using'''
                         ''' to be compatible with this version.The easiest way to do so is'''
                         ''' `CLIPTokenizerFast.from_pretrained("path_to_local_folder_or_hub_repo, from_slow=True)`. If you want'''
                         ''' to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of'''
                         ''' transformers.'''						)

              self._wrap_decode_method_backend_tokenizer()






       def   lowercase__  (							self						):



              """simple docstring"""







              lowerCamelCase_							=self.backend_tokenizer.decode

              def new_decode_method(*lowerCAmelCase,	**lowerCAmelCase						):
                     lowerCamelCase_							=orig_decode_method(*lowerCAmelCase,	**lowerCAmelCase						)
                     lowerCamelCase_							=text.replace(self.backend_tokenizer.model.end_of_word_suffix,	''' '''						).strip()
                     return text

              lowerCamelCase_							=new_decode_method






       def   lowercase__  (							self,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=[self.bos_token_id]
              lowerCamelCase_							=[self.eos_token_id]

              if token_ids_a is None:
                     return bos_token + token_ids_a + eos_token
              return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token






       def   lowercase__  (							self,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=[self.bos_token_id]
              lowerCamelCase_							=[self.eos_token_id]

              if token_ids_a is None:
                     return len(bos_token + token_ids_a + eos_token						) * [0]
              return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token						) * [0]






       def   lowercase__  (							self,	lowerCAmelCase,	lowerCAmelCase = None						):



              """simple docstring"""







              lowerCamelCase_							=self._tokenizer.model.save(lowerCAmelCase,	name=lowerCAmelCase						)
              return tuple(lowerCAmelCase						)




