



'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


SCREAMING_SNAKE_CASE__      					=     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      					=     {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE__      					=     {
    "vocab_file": {"mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt"},
    "tokenizer_file": {
        "mobilebert-uncased": "https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json"
    },
}

SCREAMING_SNAKE_CASE__      					=     {"mobilebert-uncased": 512}


SCREAMING_SNAKE_CASE__      					=     {}


class 				snake_case (UpperCamelCase   ):
       lowerCAmelCase__  :Tuple						   =					VOCAB_FILES_NAMES
       lowerCAmelCase__  :Any						   =					PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase__  :str						   =					PRETRAINED_INIT_CONFIGURATION
       lowerCAmelCase__  :int						   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase__  :List[str]						   =					MobileBertTokenizer



       def __init__(				self     ,UpperCAmelCase_=None     ,UpperCAmelCase_=None     ,UpperCAmelCase_=True     ,UpperCAmelCase_="[UNK]"     ,UpperCAmelCase_="[SEP]"     ,UpperCAmelCase_="[PAD]"     ,UpperCAmelCase_="[CLS]"     ,UpperCAmelCase_="[MASK]"     ,UpperCAmelCase_=True     ,UpperCAmelCase_=None     ,**UpperCAmelCase_     ,)  ->							List[str]:
           super().__init__(
               UpperCAmelCase_     ,tokenizer_file=UpperCAmelCase_     ,do_lower_case=UpperCAmelCase_     ,unk_token=UpperCAmelCase_     ,sep_token=UpperCAmelCase_     ,pad_token=UpperCAmelCase_     ,cls_token=UpperCAmelCase_     ,mask_token=UpperCAmelCase_     ,tokenize_chinese_chars=UpperCAmelCase_     ,strip_accents=UpperCAmelCase_     ,**UpperCAmelCase_     ,)

           lowercase__		       =						json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
           if (
               normalizer_state.get("lowercase"     ,UpperCAmelCase_      ) != do_lower_case
               or normalizer_state.get("strip_accents"     ,UpperCAmelCase_      ) != strip_accents
               or normalizer_state.get("handle_chinese_chars"     ,UpperCAmelCase_      ) != tokenize_chinese_chars
           ):
               lowercase__		       =						getattr(UpperCAmelCase_     ,normalizer_state.pop("type"      )      )
               lowercase__		       =						do_lower_case
               lowercase__		       =						strip_accents
               lowercase__		       =						tokenize_chinese_chars
               lowercase__		       =						normalizer_class(**UpperCAmelCase_      )

           lowercase__		       =						do_lower_case



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=None      )  ->							Union[str, Any]:
           lowercase__		       =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

           if token_ids_a:
               output += token_ids_a + [self.sep_token_id]

           return output



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							List[int]:
           lowercase__		       =						[self.sep_token_id]
           lowercase__		       =						[self.cls_token_id]
           if token_ids_a is None:
               return len(cls + token_ids_a + sep      ) * [0]
           return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]







       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_ = None      )  ->							Tuple[str]:
           lowercase__		       =						self._tokenizer.model.save(UpperCAmelCase_     ,name=UpperCAmelCase_      )
           return tuple(UpperCAmelCase_      )









'''simple docstring'''





import copy
import random

from transformers import CLIPTokenizer


class 				snake_case (UpperCamelCase   ):



       def __init__(				self     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							List[str]:
           super().__init__(*UpperCAmelCase_     ,**UpperCAmelCase_      )
           lowercase__		       =						{}



       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )  ->							str:
           lowercase__		       =						super().add_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
           if num_added_tokens == 0:
               raise ValueError(
                   F'''The tokenizer already contains the token {placeholder_token}. Please pass a different'''
                   " `placeholder_token` that is not already in the tokenizer."      )



       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=1     ,**UpperCAmelCase_      )  ->							List[Any]:
           lowercase__		       =						[]
           if num_vec_per_token == 1:
               self.try_adding_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
               output.append(UpperCAmelCase_      )
           else:
               lowercase__		       =						[]
               for i in range(UpperCAmelCase_      ):
                   lowercase__		       =						placeholder_token + F'''_{i}'''
                   self.try_adding_tokens(UpperCAmelCase_     ,*UpperCAmelCase_     ,**UpperCAmelCase_      )
                   output.append(UpperCAmelCase_      )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
           for token in self.token_map:
               if token in placeholder_token:
                   raise ValueError(
                       F'''The tokenizer already has placeholder token {token} that can get confused with'''
                       F''' {placeholder_token}keep placeholder tokens independent'''      )
           lowercase__		       =						output



       def 							_a      (				self     ,UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0      )  ->							Optional[int]:
           if isinstance(UpperCAmelCase_     ,UpperCAmelCase_      ):
               lowercase__		       =						[]
               for i in range(len(UpperCAmelCase_      )      ):
                   output.append(self.replace_placeholder_tokens_in_text(text[i]     ,vector_shuffle=UpperCAmelCase_      )      )
               return output
           for placeholder_token in self.token_map:
               if placeholder_token in text:
                   lowercase__		       =						self.token_map[placeholder_token]
                   lowercase__		       =						tokens[: 1 + int(len(UpperCAmelCase_      ) * prop_tokens_to_load      )]
                   if vector_shuffle:
                       lowercase__		       =						copy.copy(UpperCAmelCase_      )
                       random.shuffle(UpperCAmelCase_      )
                   lowercase__		       =						text.replace(UpperCAmelCase_     ," ".join(UpperCAmelCase_      )      )
           return text



       def __call__(				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0     ,**UpperCAmelCase_      )  ->							int:
           return super().__call__(
               self.replace_placeholder_tokens_in_text(
                   UpperCAmelCase_     ,vector_shuffle=UpperCAmelCase_     ,prop_tokens_to_load=UpperCAmelCase_      )     ,*UpperCAmelCase_     ,**UpperCAmelCase_     ,)







       def 							_a      (				self     ,UpperCAmelCase_     ,*UpperCAmelCase_     ,UpperCAmelCase_=False     ,UpperCAmelCase_=1.0     ,**UpperCAmelCase_      )  ->							Optional[int]:
           return super().encode(
               self.replace_placeholder_tokens_in_text(
                   UpperCAmelCase_     ,vector_shuffle=UpperCAmelCase_     ,prop_tokens_to_load=UpperCAmelCase_      )     ,*UpperCAmelCase_     ,**UpperCAmelCase_     ,)




