





import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__          =logging.get_logger(__name__)


UpperCamelCase__          ={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase__          ={
    'vocab_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
    },
    'added_tokens.json': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
    },
    'merges_file': {
        'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
    },
}

UpperCamelCase__          ={
    'RUCAIBox/mvp': 1024,
}






@lru_cache()
def 			lowerCamelCase__	():
     _SCREAMING_SNAKE_CASE				:		int  			=							(
         list(range(ord("!"		),				ord("~"		) + 1		)		) + list(range(ord("¡"		),				ord("¬"		) + 1		)		) + list(range(ord("®"		),				ord("ÿ"		) + 1		)		)
     )
     _SCREAMING_SNAKE_CASE				:		Any  			=							bs[:]
     _SCREAMING_SNAKE_CASE				:		int  			=							0
     for b in range(2**8		):
          if b not in bs:
               bs.append(__lowerCamelCase		)
               cs.append(2**8 + n		)
               n += 1
     _SCREAMING_SNAKE_CASE				:		int  			=							[chr(__lowerCamelCase		) for n in cs]
     return dict(zip(__lowerCamelCase,				__lowerCamelCase		)		)






def 			lowerCamelCase__	(__lowerCamelCase		):
     _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							set()
     _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)		)
          _SCREAMING_SNAKE_CASE				:		Tuple  			=							char
     return pairs





class 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       __snake_case       	=			VOCAB_FILES_NAMES
       __snake_case       	=			PRETRAINED_VOCAB_FILES_MAP
       __snake_case       	=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __snake_case       	=			['input_ids', 'attention_mask']




       def __init__(					self			,  __lowerCamelCase			,  __lowerCamelCase			,  __lowerCamelCase="replace"			,  __lowerCamelCase="<s>"			,  __lowerCamelCase="</s>"			,  __lowerCamelCase="</s>"			,  __lowerCamelCase="<s>"			,  __lowerCamelCase="<unk>"			,  __lowerCamelCase="<pad>"			,  __lowerCamelCase="<mask>"			,  __lowerCamelCase=False			,  **__lowerCamelCase			,  )	->   List[Any]:
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else bos_token
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else eos_token
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else sep_token
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else cls_token
            _SCREAMING_SNAKE_CASE				:		int  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else unk_token
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else pad_token

            # Mask token behave like a normal word, i.e. include the space before it
            _SCREAMING_SNAKE_CASE				:		str  			=							AddedToken(__lowerCamelCase			,  lstrip=__lowerCamelCase			,  rstrip=__lowerCamelCase							) if isinstance(__lowerCamelCase			,  __lowerCamelCase							) else mask_token

            super().__init__(
                errors=__lowerCamelCase			,  bos_token=__lowerCamelCase			,  eos_token=__lowerCamelCase			,  unk_token=__lowerCamelCase			,  sep_token=__lowerCamelCase			,  cls_token=__lowerCamelCase			,  pad_token=__lowerCamelCase			,  mask_token=__lowerCamelCase			,  add_prefix_space=__lowerCamelCase			,  **__lowerCamelCase			,  )
            with open(__lowerCamelCase			,  encoding="utf-8"							) as vocab_handle:
                 _SCREAMING_SNAKE_CASE				:		Tuple  			=							json.load(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		str  			=							{v: k for k, v in self.encoder.items()}
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							errors  # how to handle errors in decoding
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							bytes_to_unicode()
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							{v: k for k, v in self.byte_encoder.items()}
            with open(__lowerCamelCase			,  encoding="utf-8"							) as merges_handle:
                 _SCREAMING_SNAKE_CASE				:		str  			=							merges_handle.read().split("\n"							)[1:-1]
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							[tuple(merge.split()							) for merge in bpe_merges]
            _SCREAMING_SNAKE_CASE				:		str  			=							dict(zip(__lowerCamelCase			,  range(len(__lowerCamelCase							)							)							)							)
            _SCREAMING_SNAKE_CASE				:		Dict  			=							{}
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							add_prefix_space

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            _SCREAMING_SNAKE_CASE				:		Any  			=							re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"							)




       @property
       def 			UpperCamelCase_	(					self							)	->   List[Any]:
            return len(self.encoder							)




       def 			UpperCamelCase_	(					self							)	->   int:
            return dict(self.encoder			,  **self.added_tokens_encoder							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Optional[Any]:
            if token in self.cache:
                 return self.cache[token]
            _SCREAMING_SNAKE_CASE				:		int  			=							tuple(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		Any  			=							get_pairs(__lowerCamelCase							)

            if not pairs:
                 return token

            while True:
                 _SCREAMING_SNAKE_CASE				:		Dict  			=							min(__lowerCamelCase			,  key=lambda __lowerCamelCase							: self.bpe_ranks.get(__lowerCamelCase			,  float("inf"							)							)							)
                 if bigram not in self.bpe_ranks:
                      break
                 _SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE				:		List[str]  			=							bigram
                 _SCREAMING_SNAKE_CASE				:		str  			=							[]
                 _SCREAMING_SNAKE_CASE				:		Any  			=							0
                 while i < len(__lowerCamelCase							):
                      try:
                           _SCREAMING_SNAKE_CASE				:		str  			=							word.index(__lowerCamelCase			,  __lowerCamelCase							)
                      except ValueError:
                           new_word.extend(word[i:]							)
                           break
                      else:
                           new_word.extend(word[i:j]							)
                           _SCREAMING_SNAKE_CASE				:		List[Any]  			=							j

                      if word[i] == first and i < len(__lowerCamelCase							) - 1 and word[i + 1] == second:
                           new_word.append(first + second							)
                           i += 2
                      else:
                           new_word.append(word[i]							)
                           i += 1
                 _SCREAMING_SNAKE_CASE				:		str  			=							tuple(__lowerCamelCase							)
                 _SCREAMING_SNAKE_CASE				:		List[str]  			=							new_word
                 if len(__lowerCamelCase							) == 1:
                      break
                 else:
                      _SCREAMING_SNAKE_CASE				:		int  			=							get_pairs(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							" ".join(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							word
            return word




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Union[str, Any]:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							[]
            for token in re.findall(self.pat			,  __lowerCamelCase							):
                 _SCREAMING_SNAKE_CASE				:		List[Any]  			=							"".join(
                     self.byte_encoder[b] for b in token.encode("utf-8"							)							)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                 bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase							).split(" "							)							)
            return bpe_tokens




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   List[Any]:
            return self.encoder.get(__lowerCamelCase			,  self.encoder.get(self.unk_token							)							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Tuple:
            return self.decoder.get(__lowerCamelCase							)




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase							)	->   Optional[int]:
            _SCREAMING_SNAKE_CASE				:		int  			=							"".join(__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		Any  			=							bytearray([self.byte_decoder[c] for c in text]							).decode("utf-8"			,  errors=self.errors							)
            return text




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   Tuple[str]:
            if not os.path.isdir(__lowerCamelCase							):
                 logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""							)
                 return
            _SCREAMING_SNAKE_CASE				:		Any  			=							os.path.join(
                __lowerCamelCase			,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]							)
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							os.path.join(
                __lowerCamelCase			,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]							)

            with open(__lowerCamelCase			,  "w"			,  encoding="utf-8"							) as f:
                 f.write(json.dumps(self.encoder			,  indent=2			,  sort_keys=__lowerCamelCase			,  ensure_ascii=__lowerCamelCase							) + "\n"							)

            _SCREAMING_SNAKE_CASE				:		int  			=							0
            with open(__lowerCamelCase			,  "w"			,  encoding="utf-8"							) as writer:
                 writer.write("#version: 0.2\n"							)
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,  key=lambda __lowerCamelCase							: kv[1]							):
                      if index != token_index:
                           logger.warning(
                               F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                               " Please check that the tokenizer is not corrupted!"							)
                           _SCREAMING_SNAKE_CASE				:		Dict  			=							token_index
                      writer.write(" ".join(__lowerCamelCase							) + "\n"							)
                      index += 1

            return vocab_file, merge_file




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   List[int]:
            if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							[self.cls_token_id]
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None			,  __lowerCamelCase = False							)	->   List[int]:
            if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=__lowerCamelCase			,  token_ids_a=__lowerCamelCase			,  already_has_special_tokens=__lowerCamelCase							)

            if token_ids_a is None:
                 return [1] + ([0] * len(__lowerCamelCase							)) + [1]
            return [1] + ([0] * len(__lowerCamelCase							)) + [1, 1] + ([0] * len(__lowerCamelCase							)) + [1]




       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase = None							)	->   List[int]:
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							[self.sep_token_id]
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							[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 + sep + token_ids_a + sep							) * [0]







       def 			UpperCamelCase_	(					self			,  __lowerCamelCase			,  __lowerCamelCase=False			,  **__lowerCamelCase							)	->   str:
            _SCREAMING_SNAKE_CASE				:		Dict  			=							kwargs.pop("add_prefix_space"			,  self.add_prefix_space							)
            if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase							) > 0 and not text[0].isspace()):
                 _SCREAMING_SNAKE_CASE				:		List[str]  			=							" " + text
            return (text, kwargs)






# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
_lowerCamelCase       =	abspath(join(dirname(dirname(dirname(__file__))), 'src'))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)






def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							Tuple			):
		from transformers.testing_utils import pytest_addoption_shared

		pytest_addoption_shared(UpperCamelCase__			)






def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							Tuple			):
		from transformers.testing_utils import pytest_terminal_summary_main

		SCREAMING_SNAKE_CASE__								=					terminalreporter.config.getoption("""--make-reports"""			)
		if make_reports:
				pytest_terminal_summary_main(UpperCamelCase__    ,      id=UpperCamelCase__			)