




'''simple docstring'''





import io
import json
import subprocess


UpperCamelCase_		:    Any									=		[
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

UpperCamelCase_		:    Union[str, Any]									=		8





def 			__a			(     _UpperCamelCase:					int      ,		_UpperCamelCase:					Optional[Any]					)		->				Optional[int]:

     """simple docstring"""




     _snake_case							=   {}
     for src, tgt in pairs:
          _snake_case							=   F"""{src}-{tgt}"""
          _snake_case							=   F"""sacrebleu -t wmt19 -l {pair} --echo src""".split()
          _snake_case							=   subprocess.run(_UpperCamelCase      ,		stdout=subprocess.PIPE					).stdout.decode("utf-8"					).splitlines()
          _snake_case							=   F"""sacrebleu -t wmt19 -l {pair} --echo ref""".split()
          _snake_case							=   subprocess.run(_UpperCamelCase      ,		stdout=subprocess.PIPE					).stdout.decode("utf-8"					).splitlines()
          _snake_case							=   {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
     return text


UpperCamelCase_		:    Tuple									=		get_all_data(pairs, n_objs)
UpperCamelCase_		:    Optional[Any]									=		'''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
   UpperCamelCase_		:    List[str]									=		json.dump(text, f, indent=2, ensure_ascii=False)








'''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


UpperCamelCase_		:    Optional[int]									=		logging.get_logger(__name__)

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

UpperCamelCase_		:    List[str]									=		{
    '''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'''
        ),
    },
}

UpperCamelCase_		:    List[Any]									=		{
    '''openai/clip-vit-base-patch32''': 77,
}

class      _a       (		__lowerCAmelCase							):
     SCREAMING_SNAKE_CASE_							:					Any					       =		VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE_							:					List[Any]					       =		PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE_							:					Dict					       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE_							:					int					       =		["""input_ids""", """attention_mask"""]
     SCREAMING_SNAKE_CASE_							:					Optional[Any]					       =		CLIPTokenizer






     def __init__(				self      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE=None      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,_SCREAMING_SNAKE_CASE="<|startoftext|>"      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,_SCREAMING_SNAKE_CASE="<|endoftext|>"      ,**_SCREAMING_SNAKE_CASE      ,)							->    List[Any]:
          super().__init__(
              _SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE      ,tokenizer_file=_SCREAMING_SNAKE_CASE      ,unk_token=_SCREAMING_SNAKE_CASE      ,bos_token=_SCREAMING_SNAKE_CASE      ,eos_token=_SCREAMING_SNAKE_CASE      ,pad_token=_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE      ,)

          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					)							->    Tuple:
          _snake_case							=   self.backend_tokenizer.decode

          def new_decode_method(*_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE					):
               _snake_case							=   orig_decode_method(*_SCREAMING_SNAKE_CASE      ,**_SCREAMING_SNAKE_CASE					)
               _snake_case							=   text.replace(self.backend_tokenizer.model.end_of_word_suffix      ," "					).strip()
               return text

          _snake_case							=   new_decode_method






     def        _lowercase			(				self      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    List[int]:
          _snake_case							=   [self.bos_token_id]
          _snake_case							=   [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      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    List[int]:
          _snake_case							=   [self.bos_token_id]
          _snake_case							=   [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      ,_SCREAMING_SNAKE_CASE      ,_SCREAMING_SNAKE_CASE = None					)							->    Tuple[str]:
          _snake_case							=   self._tokenizer.model.save(_SCREAMING_SNAKE_CASE      ,name=_SCREAMING_SNAKE_CASE					)
          return tuple(_SCREAMING_SNAKE_CASE					)


