


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 	__lowercase					(	__snake_case	):
      UpperCamelCase										=							VOCAB_FILES_NAMES
      UpperCamelCase										=							PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase										=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase										=							['''input_ids''', '''attention_mask''']





      def __init__(		self    :       int       ,							__lowerCamelCase    :       Union[str, Any]       ,							__lowerCamelCase    :       Any="<s>"       ,							__lowerCamelCase    :       int="</s>"       ,							__lowerCamelCase    :       Tuple="</s>"       ,							__lowerCamelCase    :       int="<s>"       ,							__lowerCamelCase    :       List[str]="<unk>"       ,							__lowerCamelCase    :       Union[str, Any]="<pad>"       ,							__lowerCamelCase    :       Optional[Dict[str, Any]] = None       ,							**__lowerCamelCase    :       Any       ,							)     -> None:






         """simple docstring"""







         UpperCAmelCase      					=  {} if sp_model_kwargs is None else sp_model_kwargs

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

         UpperCAmelCase      					=  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=__lowerCamelCase       ,							eos_token=__lowerCamelCase       ,							unk_token=__lowerCamelCase       ,							sep_token=__lowerCamelCase       ,							cls_token=__lowerCamelCase       ,							pad_token=__lowerCamelCase       ,							sp_model_kwargs=self.sp_model_kwargs       ,							**__lowerCamelCase       ,							)

         UpperCAmelCase      					=  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
         self.sp_model.Load(str(__lowerCamelCase							)							)
         UpperCAmelCase      					=  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
         UpperCAmelCase      					=  1

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

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

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





      def __getstate__(		self    :       Dict							)     -> str:






         """simple docstring"""







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





      def __setstate__(		self    :       Tuple       ,							__lowerCamelCase    :       str							)     -> Any:






         """simple docstring"""







         UpperCAmelCase      					=  d

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

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





      def 							_lowercase					(		self    :       Optional[Any]       ,							__lowerCamelCase    :       List[int]       ,							__lowerCamelCase    :       Optional[List[int]] = None							)     -> List[int]:






         """simple docstring"""







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





      def 							_lowercase					(		self    :       Optional[Any]       ,							__lowerCamelCase    :       List[int]       ,							__lowerCamelCase    :       Optional[List[int]] = None       ,							__lowerCamelCase    :       bool = False							)     -> List[int]:






         """simple docstring"""







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

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





      def 							_lowercase					(		self    :       Optional[int]       ,							__lowerCamelCase    :       List[int]       ,							__lowerCamelCase    :       Optional[List[int]] = None							)     -> List[int]:






         """simple docstring"""







         UpperCAmelCase      					=  [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 							_lowercase					(		self    :       int							)     -> List[Any]:






         """simple docstring"""







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





      def 							_lowercase					(		self    :       Tuple							)     -> Optional[int]:






         """simple docstring"""







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





      def 							_lowercase					(		self    :       int       ,							__lowerCamelCase    :       str							)     -> List[str]:






         """simple docstring"""







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





      def 							_lowercase					(		self    :       List[Any]       ,							__lowerCamelCase    :       List[str]							)     -> List[Any]:






         """simple docstring"""







         if token in self.fairseq_tokens_to_ids:
            return self.fairseq_tokens_to_ids[token]
         UpperCAmelCase      					=  self.sp_model.PieceToId(__lowerCamelCase							)

         # 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 							_lowercase					(		self    :       Optional[Any]       ,							__lowerCamelCase    :       Any							)     -> Union[str, Any]:






         """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 							_lowercase					(		self    :       List[Any]       ,							__lowerCamelCase    :       List[Any]							)     -> List[Any]:






         """simple docstring"""







         UpperCAmelCase      					=  """""".join(__lowerCamelCase							).replace(__lowerCamelCase       ,							""" """							).strip()
         return out_string





      def 							_lowercase					(		self    :       Dict       ,							__lowerCamelCase    :       str       ,							__lowerCamelCase    :       Optional[str] = None							)     -> Tuple[str]:






         """simple docstring"""







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

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

         return (out_vocab_file,)







def 	_UpperCamelCase					(    )    ->list[list[int]]:
   return [list(range(1_0_0_0 - i	,    -1_0_0_0 - i	,    -1 ) ) for i in range(1_0_0_0 )]


__a	 =      generate_large_matrix()
__a	 =      (
    [[4, 3, 2, -1], [3, 2, 1, -1], [1, 1, -1, -2], [-1, -1, -2, -3]],
    [[3, 2], [1, 0]],
    [[7, 7, 6]],
    [[7, 7, 6], [-1, -2, -3]],
    grid,
)
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->None:
   assert all(row == sorted(lowerCAmelCase_	,    reverse=lowerCAmelCase_ ) for row in grid )
   assert all(list(lowerCAmelCase_ ) == sorted(lowerCAmelCase_	,    reverse=lowerCAmelCase_ ) for col in zip(*lowerCAmelCase_ ) )
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   UpperCAmelCase      					=  0
   UpperCAmelCase      					=  len(lowerCAmelCase_ ) - 1

   # Edge cases such as no values or all numbers are negative.
   if not array or array[0] < 0:
      return 0

   while right + 1 > left:
      UpperCAmelCase      					=  (left + right) // 2
      UpperCAmelCase      					=  array[mid]

      # Num must be negative and the index must be greater than or equal to 0.
      if num < 0 and array[mid - 1] >= 0:
         return mid

      if num >= 0:
         UpperCAmelCase      					=  mid + 1
      else:
         UpperCAmelCase      					=  mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
   return len(lowerCAmelCase_ )
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   UpperCAmelCase      					=  0
   UpperCAmelCase      					=  len(grid[0] )

   for i in range(len(lowerCAmelCase_ ) ):
      UpperCAmelCase      					=  find_negative_index(grid[i][:bound] )
      total += bound
   return (len(lowerCAmelCase_ ) * len(grid[0] )) - total
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   return len([number for row in grid for number in row if number < 0] )
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   UpperCAmelCase      					=  0
   for row in grid:
      for i, number in enumerate(lowerCAmelCase_ ):
         if number < 0:
            total += len(lowerCAmelCase_ ) - i
            break
   return total
def 	_UpperCamelCase					(    )    ->None:
   from timeit import timeit

   print("""Running benchmarks""" )
   UpperCAmelCase      					=  (
       """from __main__ import count_negatives_binary_search, """
       """count_negatives_brute_force, count_negatives_brute_force_with_break, grid"""
   )
   for func in (
       "count_negatives_binary_search",  # took 0.7727 seconds
       "count_negatives_brute_force_with_break",  # took 4.6505 seconds
       "count_negatives_brute_force",  # took 12.8160 seconds
   ):
      UpperCAmelCase      					=  timeit(F"""{func}(grid=grid)"""	,    setup=lowerCAmelCase_	,    number=5_0_0 )
      print(F"""{func}() took {time:0.4f} seconds""" )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()



