



from __future__ import annotations

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

from matplotlib import pyplot as plt






def 		_UpperCAmelCase   (	UpperCamelCase:     Sequence[float]			,							UpperCamelCase:     int			,							UpperCamelCase:     int  ):






	"""simple docstring"""


	if not arr:
		return None, None, 0
	if low == high:
		return low, high, arr[low]

	__lowerCAmelCase         =							(low + high) // 2
	__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							max_subarray(UpperCamelCase			,							UpperCamelCase			,							UpperCamelCase  )
	__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							max_subarray(UpperCamelCase			,							mid + 1			,							UpperCamelCase  )
	__lowerCAmelCase   ,						__lowerCAmelCase   ,						__lowerCAmelCase         =							max_cross_sum(UpperCamelCase			,							UpperCamelCase			,							UpperCamelCase			,							UpperCamelCase  )
	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 		_UpperCAmelCase   (	UpperCamelCase:     Sequence[float]			,							UpperCamelCase:     int			,							UpperCamelCase:     int			,							UpperCamelCase:     int  ):






	"""simple docstring"""


	__lowerCAmelCase   ,						__lowerCAmelCase         =							float("-inf"  ), -1
	__lowerCAmelCase   ,						__lowerCAmelCase         =							float("-inf"  ), -1

	__lowerCAmelCase         =							0
	for i in range(UpperCamelCase			,							low - 1			,							-1  ):
		summ += arr[i]
		if summ > left_sum:
			__lowerCAmelCase         =							summ
			__lowerCAmelCase         =							i

	__lowerCAmelCase         =							0
	for i in range(mid + 1			,							high + 1  ):
		summ += arr[i]
		if summ > right_sum:
			__lowerCAmelCase         =							summ
			__lowerCAmelCase         =							i

	return max_left, max_right, (left_sum + right_sum)






def 		_UpperCAmelCase   (	UpperCamelCase:     int  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[randint(1			,							UpperCamelCase  ) for _ in range(UpperCamelCase  )]
	__lowerCAmelCase         =							time.time()
	max_subarray(UpperCamelCase			,							0			,							input_size - 1  )
	__lowerCAmelCase         =							time.time()
	return end - start






def 		_UpperCAmelCase   (	):






	"""simple docstring"""


	__lowerCAmelCase         =							[1_0, 1_0_0, 1_0_0_0, 1_0_0_0_0, 5_0_0_0_0, 1_0_0_0_0_0, 2_0_0_0_0_0, 3_0_0_0_0_0, 4_0_0_0_0_0, 5_0_0_0_0_0]
	__lowerCAmelCase         =							[time_max_subarray(UpperCamelCase  ) for input_size in input_sizes]
	print("No of Inputs\t\tTime Taken"  )
	for input_size, runtime in zip(UpperCamelCase			,							UpperCamelCase  ):
		print(UpperCamelCase			,							"\t\t"			,							UpperCamelCase  )
	plt.plot(UpperCamelCase			,							UpperCamelCase  )
	plt.xlabel("Number of Inputs"  )
	plt.ylabel("Time taken in seconds"  )
	plt.show()


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

					testmod()








from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase_   	=	logging.get_logger(__name__)

UpperCamelCase_   	=	{
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}

class       a		(   __UpperCAmelCase					):
							lowercase_		:						str   							=  'distilbert'
							lowercase_		:						Any   							=  {
							    'hidden_size': 'dim',
							    'num_attention_heads': 'n_heads',
							    'num_hidden_layers': 'n_layers',
							}







							def __init__(						self  :  Optional[int]      ,				snake_case__  :  int=30_522      ,				snake_case__  :  str=512      ,				snake_case__  :  Tuple=False      ,				snake_case__  :  Tuple=6      ,				snake_case__  :  Any=12      ,				snake_case__  :  Dict=768      ,				snake_case__  :  Any=4 * 768      ,				snake_case__  :  Union[str, Any]=0.1      ,				snake_case__  :  str=0.1      ,				snake_case__  :  Tuple="gelu"      ,				snake_case__  :  str=0.0_2      ,				snake_case__  :  Optional[Any]=0.1      ,				snake_case__  :  Optional[Any]=0.2      ,				snake_case__  :  str=0      ,				**snake_case__  :  Dict      ,				):
								"""simple docstring"""







								__lowerCAmelCase         =							vocab_size
								__lowerCAmelCase         =							max_position_embeddings
								__lowerCAmelCase         =							sinusoidal_pos_embds
								__lowerCAmelCase         =							n_layers
								__lowerCAmelCase         =							n_heads
								__lowerCAmelCase         =							dim
								__lowerCAmelCase         =							hidden_dim
								__lowerCAmelCase         =							dropout
								__lowerCAmelCase         =							attention_dropout
								__lowerCAmelCase         =							activation
								__lowerCAmelCase         =							initializer_range
								__lowerCAmelCase         =							qa_dropout
								__lowerCAmelCase         =							seq_classif_dropout
								super().__init__(**snake_case__      ,				pad_token_id=snake_case__ )

class       a		(   __UpperCAmelCase					):







							@property
							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







								if self.task == "multiple-choice":
									__lowerCAmelCase         =							{0: "batch", 1: "choice", 2: "sequence"}
								else:
									__lowerCAmelCase         =							{0: "batch", 1: "sequence"}
								return OrderedDict(
								    [
								        ("input_ids", dynamic_axis),
								        ("attention_mask", dynamic_axis),
								    ] )






