



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   UpperCAmelCase_    (       a):







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

														'''simple docstring'''

														_lowerCAmelCase     :							List[str]    =    {
														    "pad": {"id": 0, "token": pad_token},
														    "eos": {"id": 1, "token": eos_token},
														    "unk": {"id": 2, "token": unk_token},
														}

														_lowerCAmelCase     :							str    =    [None] * len(self.special_tokens)
														for token_dict in self.special_tokens.values():
																					_lowerCAmelCase     :							Dict    =    token_dict["token"]

														_lowerCAmelCase     :							int    =    Tokenizer(Unigram())

														_lowerCAmelCase     :							Any    =    normalizers.Sequence(
														    [
														        normalizers.Nmt(),
														        normalizers.NFKC(),
														        normalizers.Replace(Regex(" {2,}"),			" "),
														        normalizers.Lowercase(),
														    ])
														_lowerCAmelCase     :							Tuple    =    pre_tokenizers.Sequence(
														    [
														        pre_tokenizers.Metaspace(replacement=__a,			add_prefix_space=__a),
														        pre_tokenizers.Digits(individual_digits=__a),
														        pre_tokenizers.Punctuation(),
														    ])
														_lowerCAmelCase     :							List[str]    =    decoders.Metaspace(replacement=__a,			add_prefix_space=__a)

														_lowerCAmelCase     :							Tuple    =    TemplateProcessing(
														    single=f"$A {self.special_tokens['eos']['token']}",			special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])],			)

														_lowerCAmelCase     :							List[Any]    =    {
														    "model": "SentencePieceUnigram",
														    "replacement": replacement,
														    "add_prefix_space": add_prefix_space,
														}

														super().__init__(__a,			__a)







							def    snake_case__      (   self,			__a,			__a = 8000,			__a = True,			):

														'''simple docstring'''

														_lowerCAmelCase     :							Dict    =    trainers.UnigramTrainer(
														    vocab_size=__a,			special_tokens=self.special_tokens_list,			show_progress=__a,			)

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

														self.add_unk_id()







							def    snake_case__      (   self,			__a,			__a = 8000,			__a = True,			):

														'''simple docstring'''

														_lowerCAmelCase     :							Optional[int]    =    trainers.UnigramTrainer(
														    vocab_size=__a,			special_tokens=self.special_tokens_list,			show_progress=__a,			)

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

														self.add_unk_id()







							def    snake_case__      (   self):

														'''simple docstring'''

														_lowerCAmelCase     :							str    =    json.loads(self._tokenizer.to_str())

														_lowerCAmelCase     :							Tuple    =    self.special_tokens["unk"]["id"]

														_lowerCAmelCase     :							Any    =    Tokenizer.from_str(json.dumps(__a))


def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE							):
	if not isinstance(__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							):
		raise TypeError('Input value must be an \'int\' type'							)

	lowercase       =    0
	while number:
		position += 1
		number >>= 1

	return position


if __name__ == "__main__":
	import doctest

	doctest.testmod()

