
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE							:Optional[Any]										=    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:Tuple										=    {
    's-JoL/Open-Llama-V1': 'https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json',
}





class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_    =					"open-llama"






	def __init__(	self :			Optional[Any]							,__snake_case :			Tuple=10_00_00							,__snake_case :			List[Any]=40_96							,__snake_case :			str=1_10_08							,__snake_case :			List[str]=32							,__snake_case :			Union[str, Any]=32							,__snake_case :			str="silu"							,__snake_case :			str=20_48							,__snake_case :			str=0.02							,__snake_case :			str=1E-6							,__snake_case :			Any=True							,__snake_case :			List[str]=0							,__snake_case :			List[str]=1							,__snake_case :			Any=2							,__snake_case :			Optional[Any]=False							,__snake_case :			Optional[int]=True							,__snake_case :			str=0.1							,__snake_case :			List[str]=0.1							,__snake_case :			Dict=True							,__snake_case :			Dict=True							,__snake_case :			Optional[Any]=None							,**__snake_case :			List[Any]							,):
					__A             =			vocab_size
					__A             =			max_position_embeddings
					__A             =			hidden_size
					__A             =			intermediate_size
					__A             =			num_hidden_layers
					__A             =			num_attention_heads
					__A             =			hidden_act
					__A             =			initializer_range
					__A             =			rms_norm_eps
					__A             =			use_cache
					__A             =			kwargs.pop(
					    "use_memorry_efficient_attention"							,__snake_case			)
					__A             =			hidden_dropout_prob
					__A             =			attention_dropout_prob
					__A             =			use_stable_embedding
					__A             =			shared_input_output_embedding
					__A             =			rope_scaling
					self._rope_scaling_validation()

					super().__init__(
					    pad_token_id=__snake_case							,bos_token_id=__snake_case							,eos_token_id=__snake_case							,tie_word_embeddings=__snake_case							,**__snake_case							,)







	def     UpperCamelCase_  (	self :			Tuple			):
					if self.rope_scaling is None:
									return

					if not isinstance(self.rope_scaling							,__snake_case			) or len(self.rope_scaling			) != 2:
									raise ValueError(
									    "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
									    f'''got {self.rope_scaling}'''			)
					__A             =			self.rope_scaling.get("type"							,__snake_case			)
					__A             =			self.rope_scaling.get("factor"							,__snake_case			)
					if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
									raise ValueError(
									    f'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''			)
					if rope_scaling_factor is None or not isinstance(__snake_case							,__snake_case			) or rope_scaling_factor <= 1.0:
									raise ValueError(f'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''			)


def 						UpperCAmelCase      (     )		->     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						)]


SCREAMING_SNAKE_CASE							:List[str]										=    generate_large_matrix()
SCREAMING_SNAKE_CASE							: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 						UpperCAmelCase      (     a_						)		->     None:







				"""simple docstring"""



				assert all(row == sorted(a_		,       reverse=a_						) for row in grid						)
				assert all(list(a_						) == sorted(a_		,       reverse=a_						) for col in zip(*a_						)						)


def 						UpperCAmelCase      (     a_						)		->     int:







				"""simple docstring"""



				__A             =			0
				__A             =			len(a_						) - 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:
								__A             =			(left + right) // 2
								__A             =			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:
												__A             =			mid + 1
								else:
												__A             =			mid - 1
    # No negative numbers so return the last index of the array + 1 which is the length.
				return len(a_						)


def 						UpperCAmelCase      (     a_						)		->     int:







				"""simple docstring"""



				__A             =			0
				__A             =			len(grid[0]						)

				for i in range(len(a_						)						):
								__A             =			find_negative_index(grid[i][:bound]						)
								total += bound
				return (len(a_						) * len(grid[0]						)) - total


def 						UpperCAmelCase      (     a_						)		->     int:







				"""simple docstring"""



				return len([number for row in grid for number in row if number < 0]						)


def 						UpperCAmelCase      (     a_						)		->     int:







				"""simple docstring"""



				__A             =			0
				for row in grid:
								for i, number in enumerate(a_						):
												if number < 0:
																total += len(a_						) - i
																break
				return total


def 						UpperCAmelCase      (     )		->     None:







				"""simple docstring"""



				from timeit import timeit

				print("Running benchmarks"						)
				__A             =			(
				    "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
				):
								__A             =			timeit(F'''{func}(grid=grid)'''		,       setup=a_		,       number=5_0_0						)
								print(F'''{func}() took {time:0.4f} seconds'''						)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					benchmark()
