

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

import sentencepiece as spm

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


A									=  logging.get_logger(__name__)

A									=  '▁'

A									=  {'vocab_file': 'sentencepiece.bpe.model'}

A									=  {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    }
}

A									=  {
    'facebook/xglm-564M': 2048,
}


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	VOCAB_FILES_NAMES
			__A    	=	PRETRAINED_VOCAB_FILES_MAP
			__A    	=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__A    	=	["""input_ids""", """attention_mask"""]


			def __init__(     self			,					__UpperCamelCase			,					__UpperCamelCase="<s>"			,					__UpperCamelCase="</s>"			,					__UpperCamelCase="</s>"			,					__UpperCamelCase="<s>"			,					__UpperCamelCase="<unk>"			,					__UpperCamelCase="<pad>"			,					__UpperCamelCase = None			,					**__UpperCamelCase			,					):

				"""simple docstring"""


				snake_case_   		=			{} if sp_model_kwargs is None else sp_model_kwargs

				# Compatibility with the original tokenizer
				snake_case_   		=			7
				snake_case_   		=			[f"""<madeupword{i}>""" for i in range(self.num_madeup_words				)]

				snake_case_   		=			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__(
				    bos_token=__UpperCamelCase			,					eos_token=__UpperCamelCase			,					unk_token=__UpperCamelCase			,					sep_token=__UpperCamelCase			,					cls_token=__UpperCamelCase			,					pad_token=__UpperCamelCase			,					sp_model_kwargs=self.sp_model_kwargs			,					**__UpperCamelCase			,					)

				snake_case_   		=			spm.SentencePieceProcessor(**self.sp_model_kwargs				)
				self.sp_model.Load(str(__UpperCamelCase				)				)
				snake_case_   		=			vocab_file

				# Original fairseq vocab and spm vocab must be "aligned":
				# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
				# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
				# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
				# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

				# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
				snake_case_   		=			1

				# Mimic fairseq token-to-id alignment for the first 4 token
				snake_case_   		=			{'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

				snake_case_   		=			len(self.sp_model				)
				snake_case_   		=			{f"""<madeupword{i}>""": sp_size + i + self.fairseq_offset for i in range(self.num_madeup_words				)}
				self.fairseq_tokens_to_ids.update(__UpperCamelCase				)

				snake_case_   		=			{v: k for k, v in self.fairseq_tokens_to_ids.items()}


			def __getstate__(     self				):

				"""simple docstring"""


				snake_case_   		=			self.__dict__.copy()
				snake_case_   		=			None
				snake_case_   		=			self.sp_model.serialized_model_proto()
				return state


			def __setstate__(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				snake_case_   		=			d

				# for backward compatibility
				if not hasattr(self			,					'sp_model_kwargs'				):
					snake_case_   		=			{}

				snake_case_   		=			spm.SentencePieceProcessor(**self.sp_model_kwargs				)
				self.sp_model.LoadFromSerializedProto(self.sp_model_proto				)


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase			,					__UpperCamelCase = None				):

				"""simple docstring"""


				if token_ids_a is None:
					return [self.sep_token_id] + token_ids_a
				snake_case_   		=			[self.sep_token_id]
				return sep + token_ids_a + sep + sep + token_ids_a


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase			,					__UpperCamelCase = None			,					__UpperCamelCase = False				):

				"""simple docstring"""


				if already_has_special_tokens:
					return super().get_special_tokens_mask(
					    token_ids_a=__UpperCamelCase			,					token_ids_a=__UpperCamelCase			,					already_has_special_tokens=__UpperCamelCase				)

				if token_ids_a is None:
					return [1] + ([0] * len(__UpperCamelCase				))
				return [1] + ([0] * len(__UpperCamelCase				)) + [1, 1] + ([0] * len(__UpperCamelCase				))


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase			,					__UpperCamelCase = None				):

				"""simple docstring"""


				snake_case_   		=			[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]


			@property
			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				return len(self.sp_model				) + self.fairseq_offset + self.num_madeup_words


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			{self.convert_ids_to_tokens(__UpperCamelCase				): i for i in range(self.vocab_size				)}
				vocab.update(self.added_tokens_encoder				)
				return vocab


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				return self.sp_model.encode(__UpperCamelCase			,					out_type=__UpperCamelCase				)


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				if token in self.fairseq_tokens_to_ids:
					return self.fairseq_tokens_to_ids[token]
				snake_case_   		=			self.sp_model.PieceToId(__UpperCamelCase				)

				# Need to return unknown token if the SP model returned 0
				return spm_id + self.fairseq_offset if spm_id else self.unk_token_id


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				if index in self.fairseq_ids_to_tokens:
					return self.fairseq_ids_to_tokens[index]
				return self.sp_model.IdToPiece(index - self.fairseq_offset				)


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				snake_case_   		=			''.join(__UpperCamelCase				).replace(__UpperCamelCase			,					' '				).strip()
				return out_string







			def       __lowerCAmelCase			(     self			,					__UpperCamelCase			,					__UpperCamelCase = None				):

				"""simple docstring"""


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

				if os.path.abspath(self.vocab_file				) != os.path.abspath(__UpperCamelCase				) and os.path.isfile(self.vocab_file				):
					copyfile(self.vocab_file			,					__UpperCamelCase				)
				elif not os.path.isfile(self.vocab_file				):
					with open(__UpperCamelCase			,					'wb'				) as fi:
						snake_case_   		=			self.sp_model.serialized_model_proto()
						fi.write(__UpperCamelCase				)

				return (out_vocab_file,)



class SCREAMING_SNAKE_CASE	:






			"""simple docstring"""




			def __init__(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				snake_case_   		=			val
				snake_case_   		=			None
				snake_case_   		=			None







			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				if self.val:
					if val < self.val:
						if self.left is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.left.insert(__UpperCamelCase				)
					elif val > self.val:
						if self.right is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.right.insert(__UpperCamelCase				)
				else:
					snake_case_   		=			val







def a(lowercase__      ,			lowercase__						):





	'''simple docstring'''
	# Recursive traversal
	if root:
		inorder(root.left      ,			lowercase__						)
		res.append(root.val						)
		inorder(root.right      ,			lowercase__						)





def a(lowercase__						):





	'''simple docstring'''
	# Build BST
	if len(lowercase__						) == 0:
		return arr
	snake_case_   		=			Node(arr[0]						)
	for i in range(1      ,			len(lowercase__						)						):
		root.insert(arr[i]						)
	# Traverse BST in order.
	snake_case_   		=			[]
	inorder(lowercase__      ,			lowercase__						)
	return res


if __name__ == "__main__":
		print(tree_sort([10, 1, 3, 2, 9, 14, 13]))
