




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


lowerCamelCase__ :   str					=							logging.get_logger(__name__)

lowerCamelCase__ :   Dict					=							{
    'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/config.json',
    # See all XGLM models at https://huggingface.co/models?filter=xglm
}





class        lowerCamelCase_							(      __A					):


 '''simple docstring'''







 lowercase_				    =    "xglm"
 lowercase_				    =    ["past_key_values"]

 lowercase_				    =    {
     "num_attention_heads": "attention_heads",
     "hidden_size": "d_model",
     "num_hidden_layers": "num_layers",
 }



 def __init__(							self  :		Optional[int]				,				_lowerCAmelCase  :		Dict=256_008				,				_lowerCAmelCase  :		List[str]=2_048				,				_lowerCAmelCase  :		List[Any]=1_024				,				_lowerCAmelCase  :		Optional[Any]=4_096				,				_lowerCAmelCase  :		Any=24				,				_lowerCAmelCase  :		int=16				,				_lowerCAmelCase  :		int="gelu"				,				_lowerCAmelCase  :		Tuple=0.1				,				_lowerCAmelCase  :		Dict=0.1				,				_lowerCAmelCase  :		int=0.0				,				_lowerCAmelCase  :		Union[str, Any]=0.0				,				_lowerCAmelCase  :		Tuple=0.02				,				_lowerCAmelCase  :		Union[str, Any]=True				,				_lowerCAmelCase  :		str=True				,				_lowerCAmelCase  :		Any=2				,				_lowerCAmelCase  :		str=1				,				_lowerCAmelCase  :		Optional[Any]=0				,				_lowerCAmelCase  :		List[str]=2				,				**_lowerCAmelCase  :		Union[str, Any]				,				):
       SCREAMING_SNAKE_CASE_							=			vocab_size
       SCREAMING_SNAKE_CASE_							=			max_position_embeddings
       SCREAMING_SNAKE_CASE_							=			d_model
       SCREAMING_SNAKE_CASE_							=			ffn_dim
       SCREAMING_SNAKE_CASE_							=			num_layers
       SCREAMING_SNAKE_CASE_							=			attention_heads
       SCREAMING_SNAKE_CASE_							=			activation_function
       SCREAMING_SNAKE_CASE_							=			dropout
       SCREAMING_SNAKE_CASE_							=			attention_dropout
       SCREAMING_SNAKE_CASE_							=			activation_dropout
       SCREAMING_SNAKE_CASE_							=			layerdrop
       SCREAMING_SNAKE_CASE_							=			init_std
       SCREAMING_SNAKE_CASE_							=			scale_embedding  # scale factor will be sqrt(d_model) if True
       SCREAMING_SNAKE_CASE_							=			use_cache

       super().__init__(
           pad_token_id=lowerCAmelCase_				,				bos_token_id=lowerCAmelCase_				,				eos_token_id=lowerCAmelCase_				,				decoder_start_token_id=lowerCAmelCase_				,				**lowerCAmelCase_				,				)







"""simple docstring"""
from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt

def 				snake_case      (   A__	,A__	,A__						):
			if not arr:
						return None, None, 0
			if low == high:
						return low, high, arr[low]

			UpperCAmelCase_     : Dict			     =					(low + high) // 2
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Any			     =					max_subarray(A__	,A__	,A__						)
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Union[str, Any]			     =					max_subarray(A__	,mid + 1	,A__						)
			UpperCAmelCase_     ,	UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[Any]			     =					max_cross_sum(A__	,A__	,A__	,A__						)
			if left_sum >= right_sum and left_sum >= cross_sum:
						return left_low, left_high, left_sum
			elif right_sum >= left_sum and right_sum >= cross_sum:
						return right_low, right_high, right_sum
			return cross_left, cross_right, cross_sum

def 				snake_case      (   A__	,A__	,A__	,A__						):
			UpperCAmelCase_     ,	UpperCAmelCase_     : str			     =					float("-inf"						), -1
			UpperCAmelCase_     ,	UpperCAmelCase_     : Optional[Any]			     =					float("-inf"						), -1

			UpperCAmelCase_     : int | float			     =					0
			for i in range(A__	,low - 1	,-1						):
						summ += arr[i]
						if summ > left_sum:
									UpperCAmelCase_     : str			     =					summ
									UpperCAmelCase_     : Any			     =					i

			UpperCAmelCase_     : Dict			     =					0
			for i in range(mid + 1	,high + 1						):
						summ += arr[i]
						if summ > right_sum:
									UpperCAmelCase_     : List[Any]			     =					summ
									UpperCAmelCase_     : Optional[Any]			     =					i

			return max_left, max_right, (left_sum + right_sum)

def 				snake_case      (   A__						):
			UpperCAmelCase_     : str			     =					[randint(1	,A__						) for _ in range(A__						)]
			UpperCAmelCase_     : str			     =					time.time()
			max_subarray(A__	,0	,input_size - 1						)
			UpperCAmelCase_     : int			     =					time.time()
			return end - start

def 				snake_case      (   ):
			UpperCAmelCase_     : int			     =					[10, 1_00, 10_00, 1_00_00, 5_00_00, 10_00_00, 20_00_00, 30_00_00, 40_00_00, 50_00_00]
			UpperCAmelCase_     : List[str]			     =					[time_max_subarray(A__						) for input_size in input_sizes]
			print("No of Inputs\t\tTime Taken"						)
			for input_size, runtime in zip(A__	,A__						):
						print(A__	,"\t\t"	,A__						)
			plt.plot(A__	,A__						)
			plt.xlabel("Number of Inputs"						)
			plt.ylabel("Time taken in seconds"						)
			plt.show()


if __name__ == "__main__":
			from doctest import testmod

			testmod()



