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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__          =		logging.get_logger(__name__)
lowerCamelCase__          =		{"""vocab_file""": """spiece.model"""}

lowerCamelCase__          =		{
    """vocab_file""": {
        """albert-base-v1""": """https://huggingface.co/albert-base-v1/resolve/main/spiece.model""",
        """albert-large-v1""": """https://huggingface.co/albert-large-v1/resolve/main/spiece.model""",
        """albert-xlarge-v1""": """https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model""",
        """albert-xxlarge-v1""": """https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model""",
        """albert-base-v2""": """https://huggingface.co/albert-base-v2/resolve/main/spiece.model""",
        """albert-large-v2""": """https://huggingface.co/albert-large-v2/resolve/main/spiece.model""",
        """albert-xlarge-v2""": """https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model""",
        """albert-xxlarge-v2""": """https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model""",
    }
}

lowerCamelCase__          =		{
    """albert-base-v1""": 512,
    """albert-large-v1""": 512,
    """albert-xlarge-v1""": 512,
    """albert-xxlarge-v1""": 512,
    """albert-base-v2""": 512,
    """albert-large-v2""": 512,
    """albert-xlarge-v2""": 512,
    """albert-xxlarge-v2""": 512,
}

lowerCamelCase__          =		"""▁"""







class      A__							(     __magic_name__	):
				lowercase			    =  VOCAB_FILES_NAMES
				lowercase			    =  PRETRAINED_VOCAB_FILES_MAP
				lowercase			    =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






				def __init__(						self					:      str    ,     a					:      List[str]    ,     a					:      int=True    ,     a					:      Optional[Any]=True    ,     a					:      Dict=False    ,     a					:      List[str]="[CLS]"    ,     a					:      Union[str, Any]="[SEP]"    ,     a					:      int="<unk>"    ,     a					:      Optional[Any]="[SEP]"    ,     a					:      Optional[Any]="<pad>"    ,     a					:      int="[CLS]"    ,     a					:      Tuple="[MASK]"    ,     a					:      Optional[Dict[str, Any]] = None    ,     **a					:      Optional[int]    ,     ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		(
							    AddedToken(a    ,     lstrip=a    ,     rstrip=a    ,     normalized=a   )
							    if isinstance(a    ,     a   )
							    else mask_token
							)

							lowerCAmelCase__      :      Any         =		{} if sp_model_kwargs is None else sp_model_kwargs

							super().__init__(
							    do_lower_case=a    ,     remove_space=a    ,     keep_accents=a    ,     bos_token=a    ,     eos_token=a    ,     unk_token=a    ,     sep_token=a    ,     pad_token=a    ,     cls_token=a    ,     mask_token=a    ,     sp_model_kwargs=self.sp_model_kwargs    ,     **a    ,     )

							lowerCAmelCase__      :      Union[str, Any]         =		do_lower_case
							lowerCAmelCase__      :      Dict         =		remove_space
							lowerCAmelCase__      :      Optional[int]         =		keep_accents
							lowerCAmelCase__      :      Optional[int]         =		vocab_file

							lowerCAmelCase__      :      Union[str, Any]         =		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
							self.sp_model.Load(a   )






				@property
				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							return len(self.sp_model   )






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      str         =		{self.convert_ids_to_tokens(a   ): i for i in range(self.vocab_size   )}
							vocab.update(self.added_tokens_encoder   )
							return vocab






				def __getstate__(						self					:      Optional[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		self.__dict__.copy()
							lowerCAmelCase__      :      str         =		None
							return state






				def __setstate__(						self					:      Any    ,     a					:      Any   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		d

							# for backward compatibility
							if not hasattr(self    ,     'sp_model_kwargs'   ):
										lowerCAmelCase__      :      List[Any]         =		{}

							lowerCAmelCase__      :      Any         =		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
							self.sp_model.Load(self.vocab_file   )






				def 							_lowerCamelCase		(						self					:      str    ,     a					:      Optional[Any]   ):






							'''simple docstring'''







							if self.remove_space:
										lowerCAmelCase__      :      List[Any]         =		' '.join(inputs.strip().split()   )
							else:
										lowerCAmelCase__      :      List[str]         =		inputs
							lowerCAmelCase__      :      Tuple         =		outputs.replace('``'    ,     '"'   ).replace('\'\''    ,     '"'   )

							if not self.keep_accents:
										lowerCAmelCase__      :      Tuple         =		unicodedata.normalize('NFKD'    ,     a   )
										lowerCAmelCase__      :      Optional[int]         =		''.join([c for c in outputs if not unicodedata.combining(a   )]   )
							if self.do_lower_case:
										lowerCAmelCase__      :      str         =		outputs.lower()

							return outputs






				def 							_lowerCamelCase		(						self					:      List[Any]    ,     a					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		self.preprocess_text(a   )
							lowerCAmelCase__      :      str         =		self.sp_model.encode(a    ,     out_type=a   )
							lowerCAmelCase__      :      List[str]         =		[]
							for piece in pieces:
										if len(a   ) > 1 and piece[-1] == str(','   ) and piece[-2].isdigit():
													lowerCAmelCase__      :      Optional[Any]         =		self.sp_model.EncodeAsPieces(piece[:-1].replace(a    ,     ''   )   )
													if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																if len(cur_pieces[0]   ) == 1:
																			lowerCAmelCase__      :      List[Any]         =		cur_pieces[1:]
																else:
																			lowerCAmelCase__      :      List[str]         =		cur_pieces[0][1:]
													cur_pieces.append(piece[-1]   )
													new_pieces.extend(a   )
										else:
													new_pieces.append(a   )

							return new_pieces






				def 							_lowerCamelCase		(						self					:      List[str]    ,     a					:      int   ):






							'''simple docstring'''







							return self.sp_model.PieceToId(a   )






				def 							_lowerCamelCase		(						self					:      str    ,     a					:      Optional[int]   ):






							'''simple docstring'''







							return self.sp_model.IdToPiece(a   )






				def 							_lowerCamelCase		(						self					:      str    ,     a					:      Union[str, Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		[]
							lowerCAmelCase__      :      Tuple         =		''
							lowerCAmelCase__      :      Union[str, Any]         =		False
							for token in tokens:
										# make sure that special tokens are not decoded using sentencepiece model
										if token in self.all_special_tokens:
													if not prev_is_special:
																out_string += " "
													out_string += self.sp_model.decode(a   ) + token
													lowerCAmelCase__      :      Tuple         =		True
													lowerCAmelCase__      :      Any         =		[]
										else:
													current_sub_tokens.append(a   )
													lowerCAmelCase__      :      Optional[int]         =		False
							out_string += self.sp_model.decode(a   )
							return out_string.strip()






				def 							_lowerCamelCase		(						self					:      Union[str, Any]    ,     a					:      List[int]    ,     a					:      Optional[List[int]] = None   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		[self.sep_token_id]
							lowerCAmelCase__      :      str         =		[self.cls_token_id]
							if token_ids_a is None:
										return cls + token_ids_a + sep
							return cls + token_ids_a + sep + token_ids_a + sep






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      List[int]    ,     a					:      Optional[List[int]] = None    ,     a					:      bool = False   ):






							'''simple docstring'''







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

							if token_ids_a is not None:
										return [1] + ([0] * len(a   )) + [1] + ([0] * len(a   )) + [1]
							return [1] + ([0] * len(a   )) + [1]






				def 							_lowerCamelCase		(						self					:      int    ,     a					:      List[int]    ,     a					:      Optional[List[int]] = None   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		[self.sep_token_id]
							lowerCAmelCase__      :      str         =		[self.cls_token_id]

							if token_ids_a is None:
										return len(cls + token_ids_a + sep   ) * [0]
							return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      str    ,     a					:      Optional[str] = None   ):






							'''simple docstring'''







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

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

							return (out_vocab_file,)

import argparse
import hashlib  # hashlib is only used inside the Test class
import struct







class      A__							:






				def __init__(						self					:      Dict    ,     a					:      str   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[int]         =		data
							lowerCAmelCase__      :      List[Any]         =		[0X67_452_301, 0Xef_cda_b89, 0X98_bad_cfe, 0X10_325_476, 0Xc3_d2e_1f0]






				@staticmethod
				def 							_lowerCamelCase		(						a					:      int    ,     a					:      List[str]   ):






							'''simple docstring'''







							return ((n << b) | (n >> (32 - b))) & 0Xff_fff_fff






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Any         =		b'\x80' + b'\x00' * (63 - (len(self.data   ) + 8) % 64)
							lowerCAmelCase__      :      List[str]         =		self.data + padding + struct.pack('>Q'    ,     8 * len(self.data   )   )
							return padded_data






				def 							_lowerCamelCase		(						self					:      Tuple   ):






							'''simple docstring'''







							return [
							    self.padded_data[i : i + 64] for i in range(0    ,     len(self.padded_data   )    ,     64   )
							]






				def 							_lowerCamelCase		(						self					:      Tuple    ,     a					:      List[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		list(struct.unpack('>16L'    ,     a   )   ) + [0] * 64
							for i in range(16    ,     80   ):
										lowerCAmelCase__      :      int         =		self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])    ,     1   )
							return w






				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		self.padding()
							lowerCAmelCase__      :      List[Any]         =		self.split_blocks()
							for block in self.blocks:
										lowerCAmelCase__      :      str         =		self.expand_block(a   )
										lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      :      str         =		self.h
										for i in range(0    ,     80   ):
													if 0 <= i < 20:
																lowerCAmelCase__      :      Tuple         =		(b & c) | ((~b) & d)
																lowerCAmelCase__      :      int         =		0X5a_827_999
													elif 20 <= i < 40:
																lowerCAmelCase__      :      List[str]         =		b ^ c ^ d
																lowerCAmelCase__      :      Any         =		0X6e_d9e_ba1
													elif 40 <= i < 60:
																lowerCAmelCase__      :      Tuple         =		(b & c) | (b & d) | (c & d)
																lowerCAmelCase__      :      Tuple         =		0X8f_1bb_cdc
													elif 60 <= i < 80:
																lowerCAmelCase__      :      List[Any]         =		b ^ c ^ d
																lowerCAmelCase__      :      int         =		0Xca_62c_1d6
													lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      ,				lowerCAmelCase__      :      Dict         =		(
													    self.rotate(a    ,     5   ) + f + e + k + expanded_block[i] & 0Xff_fff_fff,
													    a,
													    self.rotate(a    ,     30   ),
													    c,
													    d,
													)
										lowerCAmelCase__      :      Optional[Any]         =		(
										    self.h[0] + a & 0Xff_fff_fff,
										    self.h[1] + b & 0Xff_fff_fff,
										    self.h[2] + c & 0Xff_fff_fff,
										    self.h[3] + d & 0Xff_fff_fff,
										    self.h[4] + e & 0Xff_fff_fff,
										)
							return ("{:08x}" * 5).format(*self.h   )






def  lowerCAmelCase__			(  )				->		Tuple:
			lowerCAmelCase__      :      Optional[int]         =		b'Test String'
			assert SHAaHash(SCREAMING_SNAKE_CASE_     ).final_hash() == hashlib.shaa(SCREAMING_SNAKE_CASE_     ).hexdigest()  # noqa: S324
def  lowerCAmelCase__			(  )				->		Any:
			lowerCAmelCase__      :      str         =		argparse.ArgumentParser(description='Process some strings or files'     )
			parser.add_argument(
			    '--string'       ,							dest='input_string'       ,							default='Hello World!! Welcome to Cryptography'       ,							help='Hash the string'       ,							)
			parser.add_argument('--file'       ,							dest='input_file'       ,							help='Hash contents of a file'     )
			lowerCAmelCase__      :      Dict         =		parser.parse_args()
			lowerCAmelCase__      :      Tuple         =		args.input_string
			# In any case hash input should be a bytestring
			if args.input_file:
						with open(args.input_file       ,							'rb'     ) as f:
									lowerCAmelCase__      :      List[Any]         =		f.read()
			else:
						lowerCAmelCase__      :      Tuple         =		bytes(SCREAMING_SNAKE_CASE_       ,							'utf-8'     )
			print(SHAaHash(SCREAMING_SNAKE_CASE_     ).final_hash()     )


if __name__ == "__main__":
					main()
					import doctest

					doctest.testmod()