
from typing import List

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


lowercase_       :						Any     					=	logging.get_logger(__name__)

lowercase_       :						List[Any]     					=	{
    '''snap-research/efficientformer-l1-300''': (
        '''https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json'''
    ),
}
class 			UpperCamelCase      (							__SCREAMING_SNAKE_CASE  ):
     A__      =			"""efficientformer"""
     def __init__(     self  ,     snake_case__ = [3, 2, 6, 4]  ,     snake_case__ = [48, 96, 224, 448]  ,     snake_case__ = [True, True, True, True]  ,     snake_case__ = 448  ,     snake_case__ = 32  ,     snake_case__ = 4  ,     snake_case__ = 7  ,     snake_case__ = 5  ,     snake_case__ = 8  ,     snake_case__ = 4  ,     snake_case__ = 0.0  ,     snake_case__ = 16  ,     snake_case__ = 3  ,     snake_case__ = 3  ,     snake_case__ = 3  ,     snake_case__ = 2  ,     snake_case__ = 1  ,     snake_case__ = 0.0  ,     snake_case__ = 1  ,     snake_case__ = True  ,     snake_case__ = True  ,     snake_case__ = 1E-5  ,     snake_case__ = "gelu"  ,     snake_case__ = 0.02  ,     snake_case__ = 1E-12  ,     snake_case__ = 224  ,     snake_case__ = 1E-05  ,     **snake_case__  ,     ):




       """simple docstring"""


       super().__init__(**snake_case__				)

       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = hidden_act
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = hidden_dropout_prob
       _SCREAMING_SNAKE_CASE   :				int							    = hidden_sizes
       _SCREAMING_SNAKE_CASE   :				str							    = num_hidden_layers
       _SCREAMING_SNAKE_CASE   :				Tuple							    = num_attention_heads
       _SCREAMING_SNAKE_CASE   :				Any							    = initializer_range
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = layer_norm_eps
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = patch_size
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = num_channels
       _SCREAMING_SNAKE_CASE   :				int							    = depths
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = mlp_expansion_ratio
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = downsamples
       _SCREAMING_SNAKE_CASE   :				Any							    = dim
       _SCREAMING_SNAKE_CASE   :				Any							    = key_dim
       _SCREAMING_SNAKE_CASE   :				Tuple							    = attention_ratio
       _SCREAMING_SNAKE_CASE   :				int							    = resolution
       _SCREAMING_SNAKE_CASE   :				Dict							    = pool_size
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = downsample_patch_size
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = downsample_stride
       _SCREAMING_SNAKE_CASE   :				Dict							    = downsample_pad
       _SCREAMING_SNAKE_CASE   :				List[str]							    = drop_path_rate
       _SCREAMING_SNAKE_CASE   :				List[str]							    = num_metaad_blocks
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = distillation
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = use_layer_scale
       _SCREAMING_SNAKE_CASE   :				Any							    = layer_scale_init_value
       _SCREAMING_SNAKE_CASE   :				int							    = image_size
       _SCREAMING_SNAKE_CASE   :				int							    = batch_norm_eps





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

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

from matplotlib import pyplot as plt





def    _lowerCAmelCase    (     lowerCamelCase__							:							Sequence[float],						lowerCamelCase__							:							int,						lowerCamelCase__							:							int				)  ->    tuple[int | None, int | None, float]:
  if not arr:
    return None, None, 0
  if low == high:
    return low, high, arr[low]

  _SCREAMING_SNAKE_CASE   :				Any							    = (low + high) // 2
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Optional[int]							    = max_subarray(lowerCamelCase__,						lowerCamelCase__,						lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				List[str]							    = max_subarray(lowerCamelCase__,						mid + 1,						lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				str							    = max_cross_sum(lowerCamelCase__,						lowerCamelCase__,						lowerCamelCase__,						lowerCamelCase__				)
  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    _lowerCAmelCase    (     lowerCamelCase__							:							Sequence[float],						lowerCamelCase__							:							int,						lowerCamelCase__							:							int,						lowerCamelCase__							:							int				)  ->    tuple[int, int, float]:
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				List[Any]							    = float("-inf"				), -1
  _SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE   :				Dict							    = float("-inf"				), -1

  _SCREAMING_SNAKE_CASE   :				int | float							    = 0
  for i in range(lowerCamelCase__,						low - 1,						-1				):
    summ += arr[i]
    if summ > left_sum:
      _SCREAMING_SNAKE_CASE   :				int							    = summ
      _SCREAMING_SNAKE_CASE   :				Tuple							    = i

  _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = 0
  for i in range(mid + 1,						high + 1				):
    summ += arr[i]
    if summ > right_sum:
      _SCREAMING_SNAKE_CASE   :				int							    = summ
      _SCREAMING_SNAKE_CASE   :				Any							    = i

  return max_left, max_right, (left_sum + right_sum)





def    _lowerCAmelCase    (     lowerCamelCase__							:							int				)  ->    float:
  _SCREAMING_SNAKE_CASE   :				Any							    = [randint(1,						lowerCamelCase__				) for _ in range(lowerCamelCase__				)]
  _SCREAMING_SNAKE_CASE   :				int							    = time.time()
  max_subarray(lowerCamelCase__,						0,						input_size - 1				)
  _SCREAMING_SNAKE_CASE   :				List[str]							    = time.time()
  return end - start





def    _lowerCAmelCase    (     )  ->    None:
  _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = [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]
  _SCREAMING_SNAKE_CASE   :				int							    = [time_max_subarray(lowerCamelCase__				) for input_size in input_sizes]
  print("No of Inputs\t\tTime Taken"				)
  for input_size, runtime in zip(lowerCamelCase__,						lowerCamelCase__				):
    print(lowerCamelCase__,						"\t\t",						lowerCamelCase__				)
  plt.plot(lowerCamelCase__,						lowerCamelCase__				)
  plt.xlabel("Number of Inputs"				)
  plt.ylabel("Time taken in seconds"				)
  plt.show()


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

      testmod()



