
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 SPIECE_UNDERLINE, logging


_lowerCamelCase       :				Tuple       =			logging.get_logger(__name__)

_lowerCamelCase       :				Tuple       =			{'''vocab_file''': '''spiece.model'''}

_lowerCamelCase       :				Union[str, Any]       =			{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

_lowerCamelCase       :				int       =			{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
_lowerCamelCase       :				Dict       =			0
_lowerCamelCase       :				int       =			1
_lowerCamelCase       :				Optional[Any]       =			2
_lowerCamelCase       :				List[str]       =			3
_lowerCamelCase       :				Optional[Any]       =			4




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	_UpperCAmelCase       :		Tuple       =					VOCAB_FILES_NAMES
	_UpperCAmelCase       :		Any       =					PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase       :		List[str]       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase       :		List[str]       =					"left"



	def __init__(  self	:    Tuple			,  lowercase	:    Tuple			,  lowercase	:    Tuple=False			,  lowercase	:    Tuple=True			,  lowercase	:    List[str]=False			,  lowercase	:    Union[str, Any]="<s>"			,  lowercase	:    Dict="</s>"			,  lowercase	:    Tuple="<unk>"			,  lowercase	:    Optional[int]="<sep>"			,  lowercase	:    str="<pad>"			,  lowercase	:    Union[str, Any]="<cls>"			,  lowercase	:    List[str]="<mask>"			,  lowercase	:    int=["<eop>", "<eod>"]			,  lowercase	:    Optional[Dict[str, Any]] = None			,  **lowercase	:    List[str]			,  ):


				'''simple docstring'''


				_snake_case		=			AddedToken(lowercase			,  lstrip=lowercase			,  rstrip=lowercase	) if isinstance(lowercase			,  lowercase	) else mask_token

				_snake_case		=			{} if sp_model_kwargs is None else sp_model_kwargs

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

				_snake_case		=			3

				_snake_case		=			do_lower_case
				_snake_case		=			remove_space
				_snake_case		=			keep_accents
				_snake_case		=			vocab_file

				_snake_case		=			spm.SentencePieceProcessor(**self.sp_model_kwargs	)
				self.sp_model.Load(lowercase	)



	@property
	def  A							(  self	:    Any	):


				'''simple docstring'''


				return len(self.sp_model	)



	def  A							(  self	:    Dict	):


				'''simple docstring'''


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



	def __getstate__(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			self.__dict__.copy()
				_snake_case		=			None
				return state



	def __setstate__(  self	:    List[Any]			,  lowercase	:    Any	):


				'''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.Load(self.vocab_file	)



	def  A							(  self	:    Any			,  lowercase	:    int	):


				'''simple docstring'''


				if self.remove_space:
							_snake_case		=			' '.join(inputs.strip().split()	)
				else:
							_snake_case		=			inputs
				_snake_case		=			outputs.replace('``'			,  '"'	).replace('\'\''			,  '"'	)

				if not self.keep_accents:
							_snake_case		=			unicodedata.normalize('NFKD'			,  lowercase	)
							_snake_case		=			''.join([c for c in outputs if not unicodedata.combining(lowercase	)]	)
				if self.do_lower_case:
							_snake_case		=			outputs.lower()

				return outputs



	def  A							(  self	:    Any			,  lowercase	:    str	):


				'''simple docstring'''


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

				return new_pieces



	def  A							(  self	:    str			,  lowercase	:    Union[str, Any]	):


				'''simple docstring'''


				return self.sp_model.PieceToId(lowercase	)



	def  A							(  self	:    str			,  lowercase	:    Optional[int]	):


				'''simple docstring'''


				return self.sp_model.IdToPiece(lowercase	)



	def  A							(  self	:    List[Any]			,  lowercase	:    str	):


				'''simple docstring'''


				_snake_case		=			''.join(lowercase	).replace(lowercase			,  ' '	).strip()
				return out_string



	def  A							(  self	:    Any			,  lowercase	:    List[int]			,  lowercase	:    bool = False			,  lowercase	:    bool = None			,  lowercase	:    bool = True			,  **lowercase	:    int			,  ):


				'''simple docstring'''


				_snake_case		=			kwargs.pop('use_source_tokenizer'			,  lowercase	)

				_snake_case		=			self.convert_ids_to_tokens(lowercase			,  skip_special_tokens=lowercase	)

				# To avoid mixing byte-level and unicode for byte-level BPT
				# we need to build string separately for added tokens and byte-level tokens
				# cf. https://github.com/huggingface/transformers/issues/1133
				_snake_case		=			[]
				_snake_case		=			[]
				for token in filtered_tokens:
							if skip_special_tokens and token in self.all_special_ids:
										continue
							if token in self.added_tokens_encoder:
										if current_sub_text:
													sub_texts.append(self.convert_tokens_to_string(lowercase	)	)
													_snake_case		=			[]
										sub_texts.append(lowercase	)
							else:
										current_sub_text.append(lowercase	)
				if current_sub_text:
							sub_texts.append(self.convert_tokens_to_string(lowercase	)	)

				# Mimic the behavior of the Rust tokenizer:
				# By default, there are no spaces between special tokens
				_snake_case		=			''.join(lowercase	)

				_snake_case		=			(
				    clean_up_tokenization_spaces
				    if clean_up_tokenization_spaces is not None
				    else self.clean_up_tokenization_spaces
				)
				if clean_up_tokenization_spaces:
							_snake_case		=			self.clean_up_tokenization(lowercase	)
							return clean_text
				else:
							return text



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


				'''simple docstring'''


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



	def  A							(  self	:    Optional[Any]			,  lowercase	:    List[int]			,  lowercase	:    Optional[List[int]] = None			,  lowercase	:    bool = False	):


				'''simple docstring'''


				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 not None:
							return ([0] * len(lowercase	)) + [1] + ([0] * len(lowercase	)) + [1, 1]
				return ([0] * len(lowercase	)) + [1, 1]



	def  A							(  self	:    Dict			,  lowercase	:    List[int]			,  lowercase	:    Optional[List[int]] = None	):


				'''simple docstring'''


				_snake_case		=			[self.sep_token_id]
				_snake_case		=			[2]

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





	def  A							(  self	:    Optional[Any]			,  lowercase	:    str			,  lowercase	:    Optional[str] = None	):


				'''simple docstring'''


				if not os.path.isdir(lowercase	):
							logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
							return
				_snake_case		=			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:
										_snake_case		=			self.sp_model.serialized_model_proto()
										fi.write(lowercase	)

				return (out_vocab_file,)

from __future__ import annotations

from typing import Any




class    SCREAMING_SNAKE_CASE__     :





	'''simple docstring'''



	def __init__(  self	:    Tuple			,  lowercase	:    int			,  lowercase	:    int			,  lowercase	:    float = 0	):


				'''simple docstring'''


				_snake_case	,					_snake_case		=			row, column
				_snake_case		=			[[default_value for c in range(lowercase	)] for r in range(lowercase	)]



	def __str__(  self	:    int	):


				'''simple docstring'''


				_snake_case		=			f'''Matrix consist of {self.row} rows and {self.column} columns\n'''

				# Make string identifier
				_snake_case		=			0
				for row_vector in self.array:
							for obj in row_vector:
										_snake_case		=			max(lowercase			,  len(str(lowercase	)	)	)
				_snake_case		=			f'''%{max_element_length}s'''

				# Make string and return
				def single_line(lowercase	:    list[float]	) -> str:
							nonlocal string_format_identifier
							_snake_case		=			'['
							line += ", ".join(string_format_identifier % (obj,) for obj in row_vector	)
							line += "]"
							return line

				s += "\n".join(single_line(lowercase	) for row_vector in self.array	)
				return s



	def __repr__(  self	:    Dict	):


				'''simple docstring'''


				return str(self	)



	def  A							(  self	:    str			,  lowercase	:    tuple[int, int]	):


				'''simple docstring'''


				if not (isinstance(lowercase			,  (list, tuple)	) and len(lowercase	) == 2):
							return False
				elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
							return False
				else:
							return True



	def __getitem__(  self	:    Dict			,  lowercase	:    tuple[int, int]	):


				'''simple docstring'''


				assert self.validate_indicies(lowercase	)
				return self.array[loc[0]][loc[1]]



	def __setitem__(  self	:    str			,  lowercase	:    tuple[int, int]			,  lowercase	:    float	):


				'''simple docstring'''


				assert self.validate_indicies(lowercase	)
				_snake_case		=			value



	def __add__(  self	:    str			,  lowercase	:    Matrix	):


				'''simple docstring'''


				assert isinstance(lowercase			,  lowercase	)
				assert self.row == another.row and self.column == another.column

				# Add
				_snake_case		=			Matrix(self.row			,  self.column	)
				for r in range(self.row	):
							for c in range(self.column	):
										_snake_case		=			self[r, c] + another[r, c]
				return result



	def __neg__(  self	:    Tuple	):


				'''simple docstring'''


				_snake_case		=			Matrix(self.row			,  self.column	)
				for r in range(self.row	):
							for c in range(self.column	):
										_snake_case		=			-self[r, c]
				return result



	def __sub__(  self	:    List[str]			,  lowercase	:    Matrix	):


				'''simple docstring'''


				return self + (-another)



	def __mul__(  self	:    Dict			,  lowercase	:    int | float | Matrix	):


				'''simple docstring'''


				if isinstance(lowercase			,  (int, float)	):  # Scalar multiplication
							_snake_case		=			Matrix(self.row			,  self.column	)
							for r in range(self.row	):
										for c in range(self.column	):
													_snake_case		=			self[r, c] * another
							return result
				elif isinstance(lowercase			,  lowercase	):  # Matrix multiplication
							assert self.column == another.row
							_snake_case		=			Matrix(self.row			,  another.column	)
							for r in range(self.row	):
										for c in range(another.column	):
													for i in range(self.column	):
																result[r, c] += self[r, i] * another[i, c]
							return result
				else:
							_snake_case		=			f'''Unsupported type given for another ({type(lowercase	)})'''
							raise TypeError(lowercase	)



	def  A							(  self	:    Optional[Any]	):


				'''simple docstring'''


				_snake_case		=			Matrix(self.column			,  self.row	)
				for r in range(self.row	):
							for c in range(self.column	):
										_snake_case		=			self[r, c]
				return result





	def  A							(  self	:    List[Any]			,  lowercase	:    Matrix			,  lowercase	:    Matrix	):


				'''simple docstring'''


				assert isinstance(lowercase			,  lowercase	) and isinstance(lowercase			,  lowercase	)
				assert self.row == self.column == u.row == v.row  # u, v should be column vector
				assert u.column == v.column == 1  # u, v should be column vector

				# Calculate
				_snake_case		=			v.transpose()
				_snake_case		=			(v_t * self * u)[0, 0] + 1
				if numerator_factor == 0:
							return None  # It's not invertable
				return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":






			def        a_		(       ) ->  None:
						# a^(-1)
						_snake_case		=			Matrix(3       ,					3       ,					0 )
						for i in range(3 ):
									_snake_case		=			1
						print(f'''a^(-1) is {ainv}''' )
						# u, v
						_snake_case		=			Matrix(3       ,					1       ,					0 )
						_snake_case	,					_snake_case	,					_snake_case		=			1, 2, -3
						_snake_case		=			Matrix(3       ,					1       ,					0 )
						_snake_case	,					_snake_case	,					_snake_case		=			4, -2, 5
						print(f'''u is {u}''' )
						print(f'''v is {v}''' )
						print(f'''uv^T is {u * v.transpose()}''' )
						# Sherman Morrison
						print(f'''(a + uv^T)^(-1) is {ainv.sherman_morrison(__lowercase       ,					__lowercase )}''' )






			def        a_		(       ) ->  None:
						import doctest

						doctest.testmod()

			testa()