



'''simple docstring'''




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_xglm import XGLMTokenizer
else:
						UpperCamelCase__	:     int    =			None


UpperCamelCase__	:     Union[str, Any]    =			logging.get_logger(__name__)

UpperCamelCase__	:     Optional[Any]    =			{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase__	:     Any    =			{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json''',
    },
}

UpperCamelCase__	:     List[Any]    =			{
    '''facebook/xglm-564M''': 20_48,
}






class 						_UpperCamelCase  (							lowerCamelCase__   ):


			'''simple docstring'''

			_A				:		Union[str, Any]         =		VOCAB_FILES_NAMES
			_A				:		str         =		PRETRAINED_VOCAB_FILES_MAP
			_A				:		int         =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A				:		Optional[int]         =		['''input_ids''', '''attention_mask''']
			_A				:		List[str]         =		XGLMTokenizer

			def __init__(							self					:			Union[str, Any]							,					lowerCAmelCase__					:			List[Any]=None							,					lowerCAmelCase__					:			int=None							,					lowerCAmelCase__					:			List[Any]="<s>"							,					lowerCAmelCase__					:			Union[str, Any]="</s>"							,					lowerCAmelCase__					:			int="</s>"							,					lowerCAmelCase__					:			List[str]="<s>"							,					lowerCAmelCase__					:			Optional[int]="<unk>"							,					lowerCAmelCase__					:			Any="<pad>"							,					**lowerCAmelCase__					:			int							,					):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Tuple   	=		7
					__SCREAMING_SNAKE_CASE	:		List[Any]   	=		[F"<madeupword{i}>" for i in range(self.num_madeup_words						)]

					__SCREAMING_SNAKE_CASE	:		Tuple   	=		kwargs.get("""additional_special_tokens"""							,					[]						)
					kwargs["additional_special_tokens"] += [
					    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
					]

					super().__init__(
					    lowerCAmelCase__							,					tokenizer_file=lowerCAmelCase__							,					bos_token=lowerCAmelCase__							,					eos_token=lowerCAmelCase__							,					sep_token=lowerCAmelCase__							,					cls_token=lowerCAmelCase__							,					unk_token=lowerCAmelCase__							,					pad_token=lowerCAmelCase__							,					**lowerCAmelCase__							,					)

					__SCREAMING_SNAKE_CASE	:		Optional[int]   	=		vocab_file
					__SCREAMING_SNAKE_CASE	:		Tuple   	=		False if not self.vocab_file else True

			def UpperCamelCase__ (							self					:			Tuple							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






					if token_ids_a is None:
							return [self.sep_token_id] + token_ids_a
					__SCREAMING_SNAKE_CASE	:		Optional[Any]   	=		[self.sep_token_id]
					return sep + token_ids_a + sep + sep + token_ids_a

			def UpperCamelCase__ (							self					:			int							,					lowerCAmelCase__					:			List[int]							,					lowerCAmelCase__					:			Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		List[str]   	=		[self.sep_token_id]

					if token_ids_a is None:
							return len(sep + token_ids_a						) * [0]
					return len(sep + token_ids_a + sep + sep + token_ids_a						) * [0]



			def UpperCamelCase__ (							self					:			Optional[Any]							,					lowerCAmelCase__					:			str							,					lowerCAmelCase__					:			Optional[str] = None						):





					"""simple docstring"""






					if not self.can_save_slow_tokenizer:
							raise ValueError(
							    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
							    """tokenizer."""						)

					if not os.path.isdir(lowerCAmelCase__						):
							logger.error(F"Vocabulary path ({save_directory}) should be a directory."						)
							return
					__SCREAMING_SNAKE_CASE	:		str   	=		os.path.join(
					    lowerCAmelCase__							,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]						)

					if os.path.abspath(self.vocab_file						) != os.path.abspath(lowerCAmelCase__						):
							copyfile(self.vocab_file							,					lowerCAmelCase__						)

					return (out_vocab_file,)




'''simple docstring'''




from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

UpperCamelCase__	:     str    =			TypeVar('''T''', bound=bool)






class 						_UpperCamelCase  (							Generic[T]   ):


			'''simple docstring'''

			def __init__(							self					:			str							,					lowerCAmelCase__					:			T						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		T   	=		value
					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None
					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None

			@property
			def UpperCamelCase__ (							self					:			Any						):





					"""simple docstring"""






					return self._value



			@staticmethod
			def UpperCamelCase__ (							lowerCAmelCase__					:			RandomizedHeapNode[T] | None							,					lowerCAmelCase__					:			RandomizedHeapNode[T] | None						):





					"""simple docstring"""






					if not roota:
							return roota

					if not roota:
							return roota

					if roota.value > roota.value:
							__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		List[str]   	=		roota, roota

					if random.choice([True, False]						):
							__SCREAMING_SNAKE_CASE	,						__SCREAMING_SNAKE_CASE	:		Tuple   	=		roota.right, roota.left

					__SCREAMING_SNAKE_CASE	:		Tuple   	=		RandomizedHeapNode.merge(roota.left							,					lowerCAmelCase__						)

					return roota






class 						_UpperCamelCase  (							Generic[T]   ):


			'''simple docstring'''

			def __init__(							self					:			Optional[int]							,					lowerCAmelCase__					:			Iterable[T] | None = ()						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		RandomizedHeapNode[T] | None   	=		None

					if data:
							for item in data:
									self.insert(lowerCAmelCase__						)

			def UpperCamelCase__ (							self					:			Dict							,					lowerCAmelCase__					:			T						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Dict   	=		RandomizedHeapNode.merge(self._root							,					RandomizedHeapNode(lowerCAmelCase__						)						)

			def UpperCamelCase__ (							self					:			Union[str, Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		Tuple   	=		self.top()

					if self._root is None:
							return None

					__SCREAMING_SNAKE_CASE	:		Union[str, Any]   	=		RandomizedHeapNode.merge(self._root.left							,					self._root.right						)

					return result

			def UpperCamelCase__ (							self					:			Union[str, Any]						):





					"""simple docstring"""






					if not self._root:
							raise IndexError("""Can't get top element for the empty heap."""						)
					return self._root.value

			def UpperCamelCase__ (							self					:			List[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		List[str]   	=		None

			def UpperCamelCase__ (							self					:			Optional[Any]						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE	:		int   	=		[]
					while self:
							result.append(self.pop()						)

					return result



			def __bool__(							self					:			List[Any]						):





					"""simple docstring"""






					return self._root is not None


if __name__ == "__main__":
						import doctest

						doctest.testmod()