




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCamelCase			 =						logging.get_logger(__name__)

_lowerCamelCase			 =						{
    'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
    'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
    'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
    'google/electra-small-discriminator': (
        'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
    ),
    'google/electra-base-discriminator': (
        'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
    ),
    'google/electra-large-discriminator': (
        'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
    ),
}



class 			a     (   _A			):

     '''simple docstring'''





     lowerCAmelCase				:       int   		=  'electra'
     def __init__(	self   :			Any					,    __snake_case   :			List[Any]=3_05_22					,    __snake_case   :			Optional[Any]=1_28					,    __snake_case   :			Optional[int]=2_56					,    __snake_case   :			Union[str, Any]=12					,    __snake_case   :			Union[str, Any]=4					,    __snake_case   :			Tuple=10_24					,    __snake_case   :			Dict="gelu"					,    __snake_case   :			Dict=0.1					,    __snake_case   :			List[Any]=0.1					,    __snake_case   :			str=5_12					,    __snake_case   :			Union[str, Any]=2					,    __snake_case   :			Tuple=0.02					,    __snake_case   :			Optional[int]=1E-12					,    __snake_case   :			Optional[Any]="first"					,    __snake_case   :			Optional[Any]=True					,    __snake_case   :			List[Any]="gelu"					,    __snake_case   :			Tuple=0.1					,    __snake_case   :			str=0					,    __snake_case   :			Union[str, Any]="absolute"					,    __snake_case   :			Tuple=True					,    __snake_case   :			Union[str, Any]=None					,    **__snake_case   :			Dict					,    ):
         super().__init__(pad_token_id=__snake_case					,    **__snake_case				)

         UpperCAmelCase_							 =     vocab_size
         UpperCAmelCase_							 =     embedding_size
         UpperCAmelCase_							 =     hidden_size
         UpperCAmelCase_							 =     num_hidden_layers
         UpperCAmelCase_							 =     num_attention_heads
         UpperCAmelCase_							 =     intermediate_size
         UpperCAmelCase_							 =     hidden_act
         UpperCAmelCase_							 =     hidden_dropout_prob
         UpperCAmelCase_							 =     attention_probs_dropout_prob
         UpperCAmelCase_							 =     max_position_embeddings
         UpperCAmelCase_							 =     type_vocab_size
         UpperCAmelCase_							 =     initializer_range
         UpperCAmelCase_							 =     layer_norm_eps

         UpperCAmelCase_							 =     summary_type
         UpperCAmelCase_							 =     summary_use_proj
         UpperCAmelCase_							 =     summary_activation
         UpperCAmelCase_							 =     summary_last_dropout
         UpperCAmelCase_							 =     position_embedding_type
         UpperCAmelCase_							 =     use_cache
         UpperCAmelCase_							 =     classifier_dropout



class 			a     (   _A			):

     '''simple docstring'''





     @property
     def   lowerCamelCase_   (	self   :			Tuple				):
         if self.task == "multiple-choice":
             UpperCAmelCase_							 =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
         else:
             UpperCAmelCase_							 =     {0: '''batch''', 1: '''sequence'''}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
                 ('''token_type_ids''', dynamic_axis),
             ]				)






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


lowerCAmelCase__							= logging.get_logger(__name__)

lowerCAmelCase__							= {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase__							= {
    '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'
        ),
    },
}

lowerCAmelCase__							= {
    'openai/clip-vit-base-patch32': 77,
}
class 				a_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_	 =					VOCAB_FILES_NAMES
 UpperCAmelCase_	 =					PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase_	 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase_	 =					['input_ids', 'attention_mask']
 UpperCAmelCase_	 =					CLIPTokenizer




 def __init__(			self					:  Optional[int]			,    lowercase__					:  Optional[int]=None			,    lowercase__					:  Tuple=None			,    lowercase__					:  Tuple=None			,    lowercase__					:  str="<|endoftext|>"			,    lowercase__					:  List[str]="<|startoftext|>"			,    lowercase__					:  Union[str, Any]="<|endoftext|>"			,    lowercase__					:  Any="<|endoftext|>"			,    **lowercase__					:  Any			,    ):







        '''simple docstring'''



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

        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 		__snake_case						(			self					:  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__     	=					self.backend_tokenizer.decode

        def new_decode_method(*lowercase__					:  str			,    **lowercase__					:  int):
               lowerCAmelCase__     	=					orig_decode_method(*lowercase__			,    **lowercase__)
               lowerCAmelCase__     	=					text.replace(self.backend_tokenizer.model.end_of_word_suffix			,    ' ').strip()
               return text

        lowerCAmelCase__     	=					new_decode_method




 def 		__snake_case						(			self					:  Tuple			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = 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 		__snake_case						(			self					:  Any			,    lowercase__					:  List[int]			,    lowercase__					:  Optional[List[int]] = 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 		__snake_case						(			self					:  Dict			,    lowercase__					:  str			,    lowercase__					:  Optional[str] = None):







        '''simple docstring'''



        lowerCAmelCase__     	=					self._tokenizer.model.save(lowercase__			,    name=lowercase__)
        return tuple(lowercase__)
