



def       lowercase       (   )  ->     list[list[int]]:
 return [list(range(1_000 - i				,       -1_000 - i				,       -1				)				) for i in range(1_000				)]


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       lowercase       (   SCREAMING_SNAKE_CASE__       :	List[str]				)  ->     None:
 assert all(row == sorted(lowercase_				,       reverse=lowercase_				) for row in grid				)
 assert all(list(lowercase_				) == sorted(lowercase_				,       reverse=lowercase_				) for col in zip(*lowercase_				)				)



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	str				)  ->     int:
 _snake_case    :  Optional[Any]					=					0
 _snake_case    :  str					=					len(lowercase_				) - 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:
  _snake_case    :  Dict					=					(left + right) // 2
  _snake_case    :  str					=					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:
   _snake_case    :  Optional[Any]					=					mid + 1
  else:
   _snake_case    :  List[Any]					=					mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
 return len(lowercase_				)



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	List[Any]				)  ->     int:
 _snake_case    :  Any					=					0
 _snake_case    :  List[str]					=					len(grid[0]				)

 for i in range(len(lowercase_				)				):
  _snake_case    :  List[str]					=					find_negative_index(grid[i][:bound]				)
  total += bound
 return (len(lowercase_				) * len(grid[0]				)) - total



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	int				)  ->     int:
 return len([number for row in grid for number in row if number < 0]				)



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	Optional[int]				)  ->     int:
 _snake_case    :  List[Any]					=					0
 for row in grid:
  for i, number in enumerate(lowercase_				):
   if number < 0:
    total += len(lowercase_				) - i
    break
 return total



def       lowercase       (   )  ->     None:
 from timeit import timeit

 print("""Running benchmarks"""				)
 _snake_case    :  List[str]					=					(
     "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
 ):
  _snake_case    :  List[str]					=					timeit(F'''{func}(grid=grid)'''				,       setup=lowercase_				,       number=500				)
  print(F'''{func}() took {time:0.4f} seconds'''				)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 		snake_case						(	SCREAMING_SNAKE_CASE_					,unittest.TestCase  ):



   '''simple docstring'''






   snake_case_					: Optional[Any]          =		CTRLTokenizer
   snake_case_					: Optional[Any]          =		False
   snake_case_					: List[Any]          =		False

   def      UpperCamelCase_  (					self							:			int)				->				Dict:

    """simple docstring"""







    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    _snake_case    :  Dict					=					["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
    _snake_case    :  Optional[int]					=					dict(zip(lowerCAmelCase				,		range(len(lowerCAmelCase))))
    _snake_case    :  int					=					["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
    _snake_case    :  List[Any]					=					{"""unk_token""": """<unk>"""}

    _snake_case    :  Dict					=					os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["""vocab_file"""])
    _snake_case    :  Any					=					os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["""merges_file"""])
    with open(self.vocab_file				,		"""w"""				,		encoding="""utf-8""") as fp:
     fp.write(json.dumps(lowerCAmelCase) + """\n""")
    with open(self.merges_file				,		"""w"""				,		encoding="""utf-8""") as fp:
     fp.write("""\n""".join(lowerCAmelCase))

   def      UpperCamelCase_  (					self							:			Dict				,		**lowerCAmelCase							:			int)				->				Optional[Any]:

    """simple docstring"""







    kwargs.update(self.special_tokens_map)
    return CTRLTokenizer.from_pretrained(self.tmpdirname				,		**lowerCAmelCase)

   def      UpperCamelCase_  (					self							:			Any				,		lowerCAmelCase							:			Optional[int])				->				Optional[int]:

    """simple docstring"""







    _snake_case    :  Tuple					=					"""adapt react readapt apt"""
    _snake_case    :  Tuple					=					"""adapt react readapt apt"""
    return input_text, output_text


   def      UpperCamelCase_  (					self							:			Union[str, Any])				->				str:

    """simple docstring"""







    _snake_case    :  str					=					CTRLTokenizer(self.vocab_file				,		self.merges_file				,		**self.special_tokens_map)
    _snake_case    :  Dict					=					"""adapt react readapt apt"""
    _snake_case    :  int					=					"""adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
    _snake_case    :  Tuple					=					tokenizer.tokenize(lowerCAmelCase)
    self.assertListEqual(lowerCAmelCase				,		lowerCAmelCase)

    _snake_case    :  str					=					tokens + [tokenizer.unk_token]

    _snake_case    :  Union[str, Any]					=					[0, 1, 2, 4, 5, 1, 0, 3, 6]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase)				,		lowerCAmelCase)
