






import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


A_       :str       =						{
    '''<''': operator.lt,
    '''<=''': operator.le,
    '''==''': operator.eq,
    '''!=''': operator.ne,
    '''>=''': operator.ge,
    '''>''': operator.gt,
}






def 							A     (       a_							,a_							,a_							,a_							,a_							,a_					)     ->						Any:
					if got_ver is None or want_ver is None:
										raise ValueError(
										    F'Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider'
										    F' reinstalling {pkg}.'					)
					if not ops[op](version.parse(__snake_case					)							,version.parse(__snake_case					)					):
										raise ImportError(
										    F'{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}'					)






def 							A     (       a_							,a_ = None					)     ->						None:
					__UpperCamelCase      :					List[str]       		=F'\n{hint}' if hint is not None else ''

					# non-versioned check
					if re.match(r'^[\w_\-\d]+$'							,__snake_case					):
										__UpperCamelCase      :					Union[str, Any]       		=requirement, None, None
					else:
										__UpperCamelCase      :					Union[str, Any]       		=re.findall(r'^([^!=<>\s]+)([\s!=<>]{1,2}.+)'							,__snake_case					)
										if not match:
															raise ValueError(
															    'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
															    F' got {requirement}'					)
										__UpperCamelCase      :					Dict       		=match[0]
										__UpperCamelCase      :					Any       		=want_full.split(','					)  # there could be multiple requirements
										__UpperCamelCase      :					str       		={}
										for w in want_range:
															__UpperCamelCase      :					Tuple       		=re.findall(r'^([\s!=<>]{1,2})(.+)'							,__snake_case					)
															if not match:
																				raise ValueError(
																				    'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
																				    F' but got {requirement}'					)
															__UpperCamelCase      :					List[str]       		=match[0]
															__UpperCamelCase      :					int       		=want_ver
															if op not in ops:
																				raise ValueError(F'{requirement}: need one of {list(ops.keys()					)}, but got {op}'					)

    # special case
					if pkg == "python":
										__UpperCamelCase      :					Union[str, Any]       		='.'.join([str(__snake_case					) for x in sys.version_info[:3]]					)
										for op, want_ver in wanted.items():
															_compare_versions(__snake_case							,__snake_case							,__snake_case							,__snake_case							,__snake_case							,__snake_case					)
										return

					# check if any version is installed
					try:
										__UpperCamelCase      :					Union[str, Any]       		=importlib.metadata.version(__snake_case					)
					except importlib.metadata.PackageNotFoundError:
										raise importlib.metadata.PackageNotFoundError(
										    F'The \'{requirement}\' distribution was not found and is required by this application. {hint}'					)

					# check that the right version is installed if version number or a range was provided
					if want_ver is not None:
										for op, want_ver in wanted.items():
															_compare_versions(__snake_case							,__snake_case							,__snake_case							,__snake_case							,__snake_case							,__snake_case					)






def 							A     (       a_					)     ->						Optional[int]:
					__UpperCamelCase      :					Any       		='Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'
					return require_version(__snake_case							,__snake_case					)








'''simple docstring'''




import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class  SCREAMING_SNAKE_CASE    (a__							):


     def __init__(						self						,	_UpperCAmelCase = "▁"						,	_UpperCAmelCase = True						,	_UpperCAmelCase = "<unk>"						,	_UpperCAmelCase = "</s>"						,	_UpperCAmelCase = "<pad>"						,	):

          '''simple docstring'''






          __A						: Dict      =       {
              'pad': {'id': 0, 'token': pad_token},
              'eos': {'id': 1, 'token': eos_token},
              'unk': {'id': 2, 'token': unk_token},
          }

          __A						: List[Any]      =       [None] * len(self.special_tokens)
          for token_dict in self.special_tokens.values():
               __A						: List[str]      =       token_dict['token']

          __A						: str      =       Tokenizer(Unigram())

          __A						: Dict      =       normalizers.Sequence(
              [
                  normalizers.Nmt(),
                  normalizers.NFKC(),
                  normalizers.Replace(Regex(' {2,}')						,	' '),
                  normalizers.Lowercase(),
              ])
          __A						: Union[str, Any]      =       pre_tokenizers.Sequence(
              [
                  pre_tokenizers.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase),
                  pre_tokenizers.Digits(individual_digits=_UpperCAmelCase),
                  pre_tokenizers.Punctuation(),
              ])
          __A						: Any      =       decoders.Metaspace(replacement=_UpperCAmelCase						,	add_prefix_space=_UpperCAmelCase)

          __A						: Dict      =       TemplateProcessing(
              single=F'$A {self.special_tokens["eos"]["token"]}'						,	special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]						,	)

          __A						: Any      =       {
              'model': 'SentencePieceUnigram',
              'replacement': replacement,
              'add_prefix_space': add_prefix_space,
          }

          super().__init__(_UpperCAmelCase						,	_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: str      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          if isinstance(_UpperCAmelCase						,	_UpperCAmelCase):
               __A						: Union[str, Any]      =       [files]
          self._tokenizer.train(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase						,	_UpperCAmelCase = 8000						,	_UpperCAmelCase = True						,	):

          '''simple docstring'''






          __A						: Dict      =       trainers.UnigramTrainer(
              vocab_size=_UpperCAmelCase						,	special_tokens=self.special_tokens_list						,	show_progress=_UpperCAmelCase						,	)

          self._tokenizer.train_from_iterator(_UpperCAmelCase						,	trainer=_UpperCAmelCase)

          self.add_unk_id()


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						: Any      =       json.loads(self._tokenizer.to_str())

          __A						: Union[str, Any]      =       self.special_tokens['unk']['id']

          __A						: str      =       Tokenizer.from_str(json.dumps(_UpperCAmelCase))