


"""simple docstring"""






def      lowerCamelCase       (     )		->       list[list[int]]:

							'''simple docstring'''



							return [list(range(1_0_0_0 - i       ,			-1_0_0_0 - i       ,			-1							)							) for i in range(1_0_0_0							)]


UpperCAmelCase    :     int   						=		generate_large_matrix()
UpperCAmelCase    :     str   						=		(
    [[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      lowerCamelCase       (     _UpperCamelCase		:      list[list[int]]							)		->       None:

							'''simple docstring'''



							assert all(row == sorted(__UpperCamelCase       ,			reverse=__UpperCamelCase							) for row in grid							)
							assert all(list(__UpperCamelCase							) == sorted(__UpperCamelCase       ,			reverse=__UpperCamelCase							) for col in zip(*__UpperCamelCase							)							)
def      lowerCamelCase       (     _UpperCamelCase		:      list[int]							)		->       int:

							'''simple docstring'''



							__UpperCAmelCase   :						List[Any]      							=					0
							__UpperCAmelCase   :						Dict      							=					len(__UpperCamelCase							) - 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   :						Optional[int]      							=					(left + right) // 2
														__UpperCAmelCase   :						Any      							=					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   :						Optional[Any]      							=					mid + 1
														else:
																					__UpperCAmelCase   :						Any      							=					mid - 1
														# No negative numbers so return the last index of the array + 1 which is the length.
							return len(__UpperCamelCase							)
def      lowerCamelCase       (     _UpperCamelCase		:      list[list[int]]							)		->       int:

							'''simple docstring'''



							__UpperCAmelCase   :						Any      							=					0
							__UpperCAmelCase   :						List[str]      							=					len(grid[0]							)

							for i in range(len(__UpperCamelCase							)							):
														__UpperCAmelCase   :						str      							=					find_negative_index(grid[i][:bound]							)
														total += bound
							return (len(__UpperCamelCase							) * len(grid[0]							)) - total
def      lowerCamelCase       (     _UpperCamelCase		:      list[list[int]]							)		->       int:

							'''simple docstring'''



							return len([number for row in grid for number in row if number < 0]							)
def      lowerCamelCase       (     _UpperCamelCase		:      list[list[int]]							)		->       int:

							'''simple docstring'''



							__UpperCAmelCase   :						List[Any]      							=					0
							for row in grid:
														for i, number in enumerate(__UpperCamelCase							):
																					if number < 0:
																												total += len(__UpperCamelCase							) - i
																												break
							return total
def      lowerCamelCase       (     )		->       None:

							'''simple docstring'''



							from timeit import timeit

							print("""Running benchmarks"""							)
							__UpperCAmelCase   :						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
							):
														__UpperCAmelCase   :						List[str]      							=					timeit(f'''{func}(grid=grid)'''       ,			setup=__UpperCamelCase       ,			number=5_0_0							)
														print(f'''{func}() took {time:0.4f} seconds'''							)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							benchmark()

import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict







@dataclass
class __snake_case				(						lowerCamelCase_		):
   lowerCAmelCase_														=							ComputeEnvironment.AMAZON_SAGEMAKER
   lowerCAmelCase_														=							True
   lowerCAmelCase_														=							"ml.p3.2xlarge"
   lowerCAmelCase_														=							"accelerate_sagemaker_execution_role"
   lowerCAmelCase_														=							"hf-sm"
   lowerCAmelCase_														=							"us-east-1"
   lowerCAmelCase_														=							1
   lowerCAmelCase_														=							"accelerate-sagemaker-1"
   lowerCAmelCase_														=							"1.6"
   lowerCAmelCase_														=							"4.4"
   lowerCAmelCase_														=							"train.py"
   lowerCAmelCase_														=							[
       "--model_name_or_path",
       "bert",
       "--do_train",
       "False",
       "--epochs",
       "3",
       "--learning_rate",
       "5e-5",
       "--max_steps",
       "50.5",
   ]
   lowerCAmelCase_														=							[
       "--model_name_or_path",
       "bert",
       "--do_train",
       "--do_test",
       "False",
       "--do_predict",
       "--epochs",
       "3",
       "--learning_rate",
       "5e-5",
       "--max_steps",
       "50.5",
   ]







class __snake_case				(						unittest.TestCase		):




   def 	__a						(    self			:				List[Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args      )
     assert isinstance(converted_args["""model_name_or_path"""]       ,	_lowercase      )
     assert isinstance(converted_args["""do_train"""]       ,	_lowercase      )
     assert isinstance(converted_args["""epochs"""]       ,	_lowercase      )
     assert isinstance(converted_args["""learning_rate"""]       ,	_lowercase      )
     assert isinstance(converted_args["""max_steps"""]       ,	_lowercase      )

     with pytest.raises(_lowercase      ):
       _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args      )
