


import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__      		= logging.get_logger(__name__)


lowerCAmelCase__      		= {
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

lowerCAmelCase__      		= {
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

lowerCAmelCase__      		= '</w>'
lowerCAmelCase__      		= '@@ '
def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[Any]						):
       _A      :       Optional[int]				    = set()
       _A      :       Optional[Any]				    = word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)						)
              _A      :       List[Any]				    = char
       return pairs


# Speech2Text2 has no max input length
lowerCAmelCase__      		= {'facebook/s2t-wav2vec2-large-en-de': 10_24}







class      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= VOCAB_FILES_NAMES
     __SCREAMING_SNAKE_CASE  			= PRETRAINED_VOCAB_FILES_MAP
     __SCREAMING_SNAKE_CASE  			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __SCREAMING_SNAKE_CASE  			= ["input_ids", "attention_mask"]


     def __init__(						self ,						__lowerCamelCase ,						__lowerCamelCase="<s>" ,						__lowerCamelCase="<pad>" ,						__lowerCamelCase="</s>" ,						__lowerCamelCase="<unk>" ,						__lowerCamelCase=False ,						__lowerCamelCase=None ,						**__lowerCamelCase ,						)			->				Optional[Any]:
            super().__init__(
                unk_token=__lowerCamelCase ,						bos_token=__lowerCamelCase ,						eos_token=__lowerCamelCase ,						pad_token=__lowerCamelCase ,						do_lower_case=__lowerCamelCase ,						**__lowerCamelCase ,						)

            _A      :       Dict				    = do_lower_case

            with open(__lowerCamelCase ,						encoding="utf-8") as vocab_handle:
                   _A      :       Optional[int]				    = json.load(__lowerCamelCase)
            _A      :       Optional[Any]				    = {v: k for k, v in self.encoder.items()}

            if merges_file is None:
                   logger.info(F"No merges files provided. {self.__class__.__name__} can only be used for decoding.")

                   _A      :       Optional[Any]				    = None
                   _A      :       Tuple				    = None
            else:
                   with open(__lowerCamelCase ,						encoding="utf-8") as merges_handle:
                          _A      :       Optional[int]				    = merges_handle.read().split("\n")[:-1]

                   _A      :       Union[str, Any]				    = [tuple(merge.split()[:2]) for merge in merges]
                   _A      :       Optional[int]				    = dict(zip(__lowerCamelCase ,						range(len(__lowerCamelCase))))
                   _A      :       List[Any]				    = {}


     @property
     def  _lowerCamelCase (						self)			->				int:
            return len(self.decoder)


     def  _lowerCamelCase (						self)			->				Dict:
            return dict(self.encoder ,						**self.added_tokens_encoder)


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				Dict:
            _A      :       Tuple				    = tuple(token[:-1]) + (token[-1] + BPE_TOKEN_MERGES,)
            if token in self.cache:
                   return self.cache[token]
            _A      :       int				    = get_pairs(__lowerCamelCase)

            if not pairs:
                   return token

            while True:
                   _A      :       Any				    = min(__lowerCamelCase ,						key=lambda __lowerCamelCase: self.bpe_ranks.get(__lowerCamelCase ,						float("inf")))
                   if bigram not in self.bpe_ranks:
                          break
                   _A    ,			_A      :       Optional[int]				    = bigram
                   _A      :       int				    = []
                   _A      :       str				    = 0
                   while i < len(__lowerCamelCase):
                          try:
                                 _A      :       str				    = word.index(__lowerCamelCase ,						__lowerCamelCase)
                          except ValueError:
                                 new_word.extend(word[i:])
                                 break
                          else:
                                 new_word.extend(word[i:j])
                                 _A      :       str				    = 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
                   _A      :       List[str]				    = tuple(__lowerCamelCase)
                   _A      :       List[str]				    = new_word
                   if len(__lowerCamelCase) == 1:
                          break
                   else:
                          _A      :       List[Any]				    = get_pairs(__lowerCamelCase)
            _A      :       Tuple				    = " ".join(__lowerCamelCase)
            if word == "\n  " + BPE_TOKEN_MERGES:
                   _A      :       List[str]				    = "\n" + BPE_TOKEN_MERGES

            if word.endswith(__lowerCamelCase):
                   _A      :       int				    = word.replace(__lowerCamelCase ,						"")

            _A      :       int				    = word.replace(" " ,						__lowerCamelCase)
            _A      :       Union[str, Any]				    = word
            return word


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				Optional[Any]:

            if self.bpe_ranks is None:
                   raise ValueError(
                       "This tokenizer was instantiated without a `merges.txt` file, so"
                       " that it can only be used for decoding, not for encoding."
                       "Make sure to provide `merges.txt` file at instantiation to enable "
                       "encoding.")

            if self.do_lower_case:
                   _A      :       List[Any]				    = text.lower()

            _A      :       Optional[int]				    = text.split()

            _A      :       List[str]				    = []
            for token in text:
                   if token:
                          split_tokens.extend(list(self.bpe(__lowerCamelCase).split(" ")))

            return split_tokens


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				int:
            return self.encoder.get(__lowerCamelCase ,						self.encoder.get(self.unk_token))


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				str:
            _A      :       List[str]				    = self.decoder.get(__lowerCamelCase ,						self.unk_token)
            return result


     def  _lowerCamelCase (						self ,						__lowerCamelCase)			->				str:
            _A      :       str				    = " ".join(__lowerCamelCase)

            # make sure @@ tokens are concatenated
            _A      :       int				    = "".join(string.split(__lowerCamelCase))

            return string


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

            _A      :       Union[str, Any]				    = 0
            if self.bpe_ranks is None:
                   return (vocab_file,)

            with open(__lowerCamelCase ,						"w" ,						encoding="utf-8") as writer:
                   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 {merges_file}: BPE merge indices are not consecutive."
                                     " Please check that the tokenizer is not corrupted!")
                                 _A      :       Optional[int]				    = token_index
                          writer.write(" ".join(__lowerCamelCase) + "\n")
                          index += 1

            return (vocab_file, merges_file)




"""simple docstring"""


import argparse
import os
import re

import packaging.version


A     :   Any			    =			"examples/"
A     :   Optional[Any]			    =			{
    "examples": (re.compile(R"^check_min_version\(\"[^\"]+\"\)\s*$", re.MULTILINE), "check_min_version(\"VERSION\")\n"),
    "init": (re.compile(R"^__version__\s+=\s+\"([^\"]+)\"\s*$", re.MULTILINE), "__version__ = \"VERSION\"\n"),
    "setup": (re.compile(R"^(\s*)version\s*=\s*\"[^\"]+\",", re.MULTILINE), R"\1version=\"VERSION\","),
    "doc": (re.compile(R"^(\s*)release\s*=\s*\"[^\"]+\"$", re.MULTILINE), "release = \"VERSION\"\n"),
}
A     :   Optional[int]			    =			{
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
A     :   List[Any]			    =			"README.md"


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			with open(_UpperCamelCase    , "r"    , encoding="utf-8"    , newline="\n"      ) as f:
						__lowerCAmelCase				    =			f.read()
			__lowerCAmelCase    ,	__lowerCAmelCase				    =			REPLACE_PATTERNS[pattern]
			__lowerCAmelCase				    =			replace.replace("VERSION"    , _UpperCamelCase      )
			__lowerCAmelCase				    =			re_pattern.sub(_UpperCamelCase    , _UpperCamelCase      )
			with open(_UpperCamelCase    , "w"    , encoding="utf-8"    , newline="\n"      ) as f:
						f.write(_UpperCamelCase      )


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			for folder, directories, fnames in os.walk(_UpperCamelCase      ):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove("research_projects"      )
						if "legacy" in directories:
									directories.remove("legacy"      )
						for fname in fnames:
									if fname.endswith(".py"      ):
												update_version_in_file(os.path.join(_UpperCamelCase    , _UpperCamelCase      )    , _UpperCamelCase    , pattern="examples"      )


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase=False      ):

			'''simple docstring'''




			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      )
			if not patch:
						update_version_in_examples(_UpperCamelCase      )


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			"🤗 Transformers currently provides the following architectures"
			__lowerCAmelCase				    =			"1. Want to contribute a new model?"
			with open(_UpperCamelCase    , "r"    , encoding="utf-8"    , newline="\n"      ) as f:
						__lowerCAmelCase				    =			f.readlines()

			# Find the start of the list.
			__lowerCAmelCase				    =			0
			while not lines[start_index].startswith(_start_prompt      ):
						start_index += 1
			start_index += 1

			__lowerCAmelCase				    =			start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt      ):
						if lines[index].startswith("1."      ):
									__lowerCAmelCase				    =			lines[index].replace(
									    "https://huggingface.co/docs/transformers/main/model_doc"    , "https://huggingface.co/docs/transformers/model_doc"    , )
						index += 1

			with open(_UpperCamelCase    , "w"    , encoding="utf-8"    , newline="\n"      ) as f:
						f.writelines(_UpperCamelCase      )


def _lowerCamelCase	(		):

			'''simple docstring'''




			with open(REPLACE_FILES["init"]    , "r"      ) as f:
						__lowerCAmelCase				    =			f.read()
			__lowerCAmelCase				    =			REPLACE_PATTERNS["init"][0].search(_UpperCamelCase      ).groups()[0]
			return packaging.version.parse(_UpperCamelCase      )


def _lowerCamelCase	(		_UpperCamelCase=False      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			get_version()
			if patch and default_version.is_devrelease:
						raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"      )
			if default_version.is_devrelease:
						__lowerCAmelCase				    =			default_version.base_version
			elif patch:
						__lowerCAmelCase				    =			f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
			else:
						__lowerCAmelCase				    =			f"{default_version.major}.{default_version.minor + 1}.0"

			# Now let's ask nicely if that's the right one.
			__lowerCAmelCase				    =			input(f"Which version are you releasing? [{default_version}]"      )
			if len(_UpperCamelCase      ) == 0:
						__lowerCAmelCase				    =			default_version

			print(f"Updating version to {version}."      )
			global_version_update(_UpperCamelCase    , patch=_UpperCamelCase      )
			if not patch:
						print("Cleaning main README, don't forget to run `make fix-copies`."      )
						clean_main_ref_in_model_list()


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			get_version()
			__lowerCAmelCase				    =			f"{current_version.major}.{current_version.minor + 1}.0.dev0"
			__lowerCAmelCase				    =			current_version.base_version

			# Check with the user we got that right.
			__lowerCAmelCase				    =			input(f"Which version are we developing now? [{dev_version}]"      )
			if len(_UpperCamelCase      ) == 0:
						__lowerCAmelCase				    =			dev_version

			print(f"Updating version to {version}."      )
			global_version_update(_UpperCamelCase      )
			print("Cleaning main README, don't forget to run `make fix-copies`."      )
			clean_main_ref_in_model_list()


if __name__ == "__main__":
	A     :   Union[str, Any]			    =			argparse.ArgumentParser()
	parser.add_argument("--post_release", action="store_true", help="Whether this is pre or post release.")
	parser.add_argument("--patch", action="store_true", help="Whether or not this is a patch release.")
	A     :   Dict			    =			parser.parse_args()
	if not args.post_release:
		pre_release_work(patch=args.patch)
	elif args.patch:
		print("Nothing to do after a patch :-)")
	else:
		post_release_work()




