
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__    (							SCREAMING_SNAKE_CASE_    ):

							"""simple docstring"""






							def __init__(  self     ,	SCREAMING_SNAKE_CASE_ = "▁"     ,	SCREAMING_SNAKE_CASE_ = True     ,	SCREAMING_SNAKE_CASE_ = "<unk>"     ,	SCREAMING_SNAKE_CASE_ = "</s>"     ,	SCREAMING_SNAKE_CASE_ = "<pad>"     ,	)->   List[Any]:





													'''simple docstring'''






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

													__UpperCamelCase       =			[None] * len(self.special_tokens			)
													for token_dict in self.special_tokens.values():
																			__UpperCamelCase       =			token_dict['''token''']

													__UpperCamelCase       =			Tokenizer(Unigram()			)

													__UpperCamelCase       =			normalizers.Sequence(
													    [
													        normalizers.Nmt(),
													        normalizers.NFKC(),
													        normalizers.Replace(Regex(''' {2,}'''			)     ,	''' '''			),
													        normalizers.Lowercase(),
													    ]			)
													__UpperCamelCase       =			pre_tokenizers.Sequence(
													    [
													        pre_tokenizers.Metaspace(replacement=SCREAMING_SNAKE_CASE_     ,	add_prefix_space=SCREAMING_SNAKE_CASE_			),
													        pre_tokenizers.Digits(individual_digits=SCREAMING_SNAKE_CASE_			),
													        pre_tokenizers.Punctuation(),
													    ]			)
													__UpperCamelCase       =			decoders.Metaspace(replacement=SCREAMING_SNAKE_CASE_     ,	add_prefix_space=SCREAMING_SNAKE_CASE_			)

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

													__UpperCamelCase       =			{
													    '''model''': '''SentencePieceUnigram''',
													    '''replacement''': replacement,
													    '''add_prefix_space''': add_prefix_space,
													}

													super().__init__(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			)



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_ = 8000     ,	SCREAMING_SNAKE_CASE_ = True     ,	)->   int:





													'''simple docstring'''






													__UpperCamelCase       =			trainers.UnigramTrainer(
													    vocab_size=SCREAMING_SNAKE_CASE_     ,	special_tokens=self.special_tokens_list     ,	show_progress=SCREAMING_SNAKE_CASE_     ,	)

													if isinstance(SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_			):
																			__UpperCamelCase       =			[files]
													self._tokenizer.train(SCREAMING_SNAKE_CASE_     ,	trainer=SCREAMING_SNAKE_CASE_			)

													self.add_unk_id()



							def     A__		(  self     ,	SCREAMING_SNAKE_CASE_     ,	SCREAMING_SNAKE_CASE_ = 8000     ,	SCREAMING_SNAKE_CASE_ = True     ,	)->   Tuple:





													'''simple docstring'''






													__UpperCamelCase       =			trainers.UnigramTrainer(
													    vocab_size=SCREAMING_SNAKE_CASE_     ,	special_tokens=self.special_tokens_list     ,	show_progress=SCREAMING_SNAKE_CASE_     ,	)

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

													self.add_unk_id()



							def     A__		(  self			)->   Any:





													'''simple docstring'''






													__UpperCamelCase       =			json.loads(self._tokenizer.to_str()			)

													__UpperCamelCase       =			self.special_tokens['''unk''']['''id''']

													__UpperCamelCase       =			Tokenizer.from_str(json.dumps(SCREAMING_SNAKE_CASE_			)			)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__							:							int									=			{
    "configuration_git": ["GIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GitConfig", "GitVisionConfig"],
    "processing_git": ["GitProcessor"],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase__							:							Tuple									=			[
				    "GIT_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "GitForCausalLM",
				    "GitModel",
				    "GitPreTrainedModel",
				    "GitVisionModel",
				]

if TYPE_CHECKING:
				from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
				from .processing_git import GitProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_git import (
								    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    GitForCausalLM,
								    GitModel,
								    GitPreTrainedModel,
								    GitVisionModel,
								)

else:
				import sys

				lowercase__							:							Optional[Any]									=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




