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


_lowercase:	List[str]       			=		logging.get_logger(__name__)

_lowercase:	Any       			=		'''▁'''

_lowercase:	List[str]       			=		{'''vocab_file''': '''sentencepiece.bpe.model'''}

_lowercase:	List[Any]       			=		{
    '''vocab_file''': {
        '''facebook/xglm-564M''': '''https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model''',
    }
}

_lowercase:	Any       			=		{
    '''facebook/xglm-564M''': 2_0_4_8,
}



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							=VOCAB_FILES_NAMES
			UpperCamelCase__    							=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__    							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__    							=["input_ids", "attention_mask"]





			def __init__(       self	:	List[Any]  ,  lowercase__	:	Dict  ,  lowercase__	:	List[str]="<s>"  ,  lowercase__	:	Any="</s>"  ,  lowercase__	:	List[str]="</s>"  ,  lowercase__	:	List[Any]="<s>"  ,  lowercase__	:	Any="<unk>"  ,  lowercase__	:	List[Any]="<pad>"  ,  lowercase__	:	Optional[Dict[str, Any]] = None  ,  **lowercase__	:	List[Any]  ,  ):
										_lowerCAmelCase							=							{} if sp_model_kwargs is None else sp_model_kwargs

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

										_lowerCAmelCase							=							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=lowercase__  ,  eos_token=lowercase__  ,  unk_token=lowercase__  ,  sep_token=lowercase__  ,  cls_token=lowercase__  ,  pad_token=lowercase__  ,  sp_model_kwargs=self.sp_model_kwargs  ,  **lowercase__  ,  )

										_lowerCAmelCase							=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
										self.sp_model.Load(str(lowercase__						)						)
										_lowerCAmelCase							=							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
										_lowerCAmelCase							=							1

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

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

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





			def __getstate__(       self	:	Optional[Any]						):
										_lowerCAmelCase							=							self.__dict__.copy()
										_lowerCAmelCase							=							None
										_lowerCAmelCase							=							self.sp_model.serialized_model_proto()
										return state





			def __setstate__(       self	:	Optional[int]  ,  lowercase__	:	Optional[Any]						):
										_lowerCAmelCase							=							d

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

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





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[int]  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None						):

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





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None  ,  lowercase__	:	bool = False						):

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

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





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None						):
										_lowerCAmelCase							=							[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   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										return len(self.sp_model						) + self.fairseq_offset + self.num_madeup_words





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any						):
										_lowerCAmelCase							=							{self.convert_ids_to_tokens(lowercase__						): i for i in range(self.vocab_size						)}
										vocab.update(self.added_tokens_encoder						)
										return vocab





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any  ,  lowercase__	:	str						):
										return self.sp_model.encode(lowercase__  ,  out_type=lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple  ,  lowercase__	:	Any						):
										if token in self.fairseq_tokens_to_ids:
																	return self.fairseq_tokens_to_ids[token]
										_lowerCAmelCase							=							self.sp_model.PieceToId(lowercase__						)

										# 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   SCREAMING_SNAKE_CASE__     (       self	:	Dict  ,  lowercase__	:	int						):
										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   SCREAMING_SNAKE_CASE__     (       self	:	str  ,  lowercase__	:	List[Any]						):
										_lowerCAmelCase							=							''.join(lowercase__						).replace(lowercase__  ,  ' '						).strip()
										return out_string





			def   SCREAMING_SNAKE_CASE__     (       self	:	str  ,  lowercase__	:	str  ,  lowercase__	:	Optional[str] = None						):
										if not os.path.isdir(lowercase__						):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
																	return
										_lowerCAmelCase							=							os.path.join(
										    lowercase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

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

										return (out_vocab_file,)







from math import ceil, sqrt






def _lowerCamelCase  (		snake_case = 1_000_000  ):
							_lowerCAmelCase							=							0

							for outer_width in range(3     , (limit // 4) + 2  ):
														if outer_width**2 > limit:
																					_lowerCAmelCase							=							max(ceil(sqrt(outer_width**2 - limit  )  )     , 1  )
														else:
																					_lowerCAmelCase							=							1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


if __name__ == "__main__":
				print(f"""{solution() = }""")






