


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


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

_snake_case	:						Dict         =							{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

_snake_case	:						Any         =							{
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

_snake_case	:						str         =							{
    "distilbert-base-uncased": 512,
    "distilbert-base-uncased-distilled-squad": 512,
    "distilbert-base-cased": 512,
    "distilbert-base-cased-distilled-squad": 512,
    "distilbert-base-german-cased": 512,
    "distilbert-base-multilingual-cased": 512,
}


_snake_case	:						Dict         =							{
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}

class 							a						(_lowerCAmelCase ):




							"""simple docstring"""


							__UpperCAmelCase       :				Dict	    =    VOCAB_FILES_NAMES
							__UpperCAmelCase       :				int	    =    PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase       :				str	    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase       :				Optional[Any]	    =    PRETRAINED_INIT_CONFIGURATION
							__UpperCAmelCase       :				int	    =    ["input_ids", "attention_mask"]
							__UpperCAmelCase       :				Tuple	    =    DistilBertTokenizer

							def __init__(				self			:    int       ,      lowerCamelCase			:    Any=None       ,      lowerCamelCase			:    int=None       ,      lowerCamelCase			:    Tuple=True       ,      lowerCamelCase			:    int="[UNK]"       ,      lowerCamelCase			:    int="[SEP]"       ,      lowerCamelCase			:    Optional[Any]="[PAD]"       ,      lowerCamelCase			:    List[str]="[CLS]"       ,      lowerCamelCase			:    List[Any]="[MASK]"       ,      lowerCamelCase			:    Dict=True       ,      lowerCamelCase			:    str=None       ,      **lowerCamelCase			:    int       ,      )      ->       List[Any]:
														super().__init__(
														    lowerCamelCase       ,      tokenizer_file=lowerCamelCase       ,      do_lower_case=lowerCamelCase       ,      unk_token=lowerCamelCase       ,      sep_token=lowerCamelCase       ,      pad_token=lowerCamelCase       ,      cls_token=lowerCamelCase       ,      mask_token=lowerCamelCase       ,      tokenize_chinese_chars=lowerCamelCase       ,      strip_accents=lowerCamelCase       ,      **lowerCamelCase       ,      )

														__snake_case						:     Dict									=  json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
														if (
														    normalizer_state.get("lowercase"       ,      lowerCamelCase							) != do_lower_case
														    or normalizer_state.get("strip_accents"       ,      lowerCamelCase							) != strip_accents
														    or normalizer_state.get("handle_chinese_chars"       ,      lowerCamelCase							) != tokenize_chinese_chars
														):
																					__snake_case						:     List[Any]									=  getattr(lowerCamelCase       ,      normalizer_state.pop("type"							)							)
																					__snake_case						:     Union[str, Any]									=  do_lower_case
																					__snake_case						:     Union[str, Any]									=  strip_accents
																					__snake_case						:     List[str]									=  tokenize_chinese_chars
																					__snake_case						:     Optional[Any]									=  normalizer_class(**lowerCamelCase							)

														__snake_case						:     List[Any]									=  do_lower_case

							def        __snake_case   (				self			:    Dict       ,      lowerCamelCase			:    Any       ,      lowerCamelCase			:    Any=None							)      ->       Any:
														__snake_case						:     Tuple									=  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

														if token_ids_a:
																					output += token_ids_a + [self.sep_token_id]

														return output

							def        __snake_case   (				self			:    List[Any]       ,      lowerCamelCase			:    List[int]       ,      lowerCamelCase			:    Optional[List[int]] = None							)      ->       List[int]:
														__snake_case						:     Union[str, Any]									=  [self.sep_token_id]
														__snake_case						:     int									=  [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        __snake_case   (				self			:    str       ,      lowerCamelCase			:    str       ,      lowerCamelCase			:    Optional[str] = None							)      ->       Tuple[str]:
														__snake_case						:     str									=  self._tokenizer.model.save(lowerCamelCase       ,      name=lowerCamelCase							)
														return tuple(lowerCamelCase							)





from __future__ import annotations

from typing import Any






class _lowerCamelCase:
       def __init__(   self, lowerCamelCase, lowerCamelCase, lowerCamelCase = 0)			->  None:




           """simple docstring"""

           _lowercase						,							_lowercase			:				str 						=						row, column
           _lowercase			:				Any 						=						[[default_value for c in range(lowerCamelCase)] for r in range(lowerCamelCase)]
       def __str__(   self)			->  str:




           """simple docstring"""

           _lowercase			:				Tuple 						=						F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

           # Make string identifier
           _lowercase			:				str 						=						0
           for row_vector in self.array:
               for obj in row_vector:
                   _lowercase			:				Optional[int] 						=						max(lowerCamelCase, len(str(lowerCamelCase)))
           _lowercase			:				List[str] 						=						F'''%{max_element_length}s'''

           # Make string and return
           def single_line(lowerCamelCase) -> str:
               nonlocal string_format_identifier
               _lowercase			:				Union[str, Any] 						=						'['
               line += ", ".join(string_format_identifier % (obj,) for obj in row_vector)
               line += "]"
               return line

           s += "\n".join(single_line(lowerCamelCase) for row_vector in self.array)
           return s
       def __repr__(   self)			->  str:




           """simple docstring"""

           return str(self)
       def      UpperCamelCase	(   self, lowerCamelCase)			->  bool:




           """simple docstring"""

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




           """simple docstring"""

           assert self.validate_indicies(lowerCamelCase)
           return self.array[loc[0]][loc[1]]
       def __setitem__(   self, lowerCamelCase, lowerCamelCase)			->  None:




           """simple docstring"""

           assert self.validate_indicies(lowerCamelCase)
           _lowercase			:				Optional[Any] 						=						value
       def __add__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

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

           # Add
           _lowercase			:				Any 						=						Matrix(self.row, self.column)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				int 						=						self[r, c] + another[r, c]
           return result
       def __neg__(   self)			->  Matrix:




           """simple docstring"""

           _lowercase			:				List[Any] 						=						Matrix(self.row, self.column)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				List[str] 						=						-self[r, c]
           return result
       def __sub__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

           return self + (-another)
       def __mul__(   self, lowerCamelCase)			->  Matrix:




           """simple docstring"""

           if isinstance(lowerCamelCase, (int, float)):  # Scalar multiplication
               _lowercase			:				Dict 						=						Matrix(self.row, self.column)
               for r in range(self.row):
                   for c in range(self.column):
                       _lowercase			:				Union[str, Any] 						=						self[r, c] * another
               return result
           elif isinstance(lowerCamelCase, lowerCamelCase):  # Matrix multiplication
               assert self.column == another.row
               _lowercase			:				str 						=						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:
               _lowercase			:				Tuple 						=						F'''Unsupported type given for another ({type(lowerCamelCase)})'''
               raise TypeError(lowerCamelCase)
       def      UpperCamelCase	(   self)			->  Matrix:




           """simple docstring"""

           _lowercase			:				List[Any] 						=						Matrix(self.column, self.row)
           for r in range(self.row):
               for c in range(self.column):
                   _lowercase			:				Union[str, Any] 						=						self[r, c]
           return result




       def      UpperCamelCase	(   self, lowerCamelCase, lowerCamelCase)			->  Any:




           """simple docstring"""

           assert isinstance(lowerCamelCase, lowerCamelCase) and isinstance(lowerCamelCase, lowerCamelCase)
           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
           _lowercase			:				Dict 						=						v.transpose()
           _lowercase			:				Any 						=						(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 							UpperCamelCase_( )       ->		None:
     # a^(-1)
     _lowercase			:				Optional[int] 						=						Matrix(3				,					3				,					0					)
     for i in range(3					):
         _lowercase			:				int 						=						1
     print(F'''a^(-1) is {ainv}'''					)
     # u, v
     _lowercase			:				Dict 						=						Matrix(3				,					1				,					0					)
     _lowercase						,							_lowercase						,							_lowercase			:				Dict 						=						1, 2, -3
     _lowercase			:				List[Any] 						=						Matrix(3				,					1				,					0					)
     _lowercase						,							_lowercase						,							_lowercase			:				int 						=						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(lowerCamelCase_				,					lowerCamelCase_					)}'''					)



 def 							UpperCamelCase_( )       ->		None:
     import doctest

     doctest.testmod()

 testa()


