





'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					=    {
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}






class 							__lowercase       (      lowerCAmelCase__ ,      lowerCAmelCase__						):







	'''simple docstring'''

	a    :				List[Any]											=       "bit"
	a    :				Tuple											=       ["preactivation", "bottleneck"]
	a    :				Optional[int]											=       ["SAME", "VALID"]


	def __init__(self     ,_lowerCamelCase=3     ,_lowerCamelCase=64     ,_lowerCamelCase=[256, 512, 1024, 2048]     ,_lowerCamelCase=[3, 4, 6, 3]     ,_lowerCamelCase="preactivation"     ,_lowerCamelCase="relu"     ,_lowerCamelCase=None     ,_lowerCamelCase=32     ,_lowerCamelCase=0.0     ,_lowerCamelCase=False     ,_lowerCamelCase=32     ,_lowerCamelCase=1     ,_lowerCamelCase=None     ,_lowerCamelCase=None     ,**_lowerCamelCase     ,)							->							List[Any]:







				'''simple docstring'''





				super().__init__(**__UpperCamelCase )
				if layer_type not in self.layer_types:
							raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types )}" )
				if global_padding is not None:
							if global_padding.upper() in self.supported_padding:
										__lowercase										=							global_padding.upper()
							else:
										raise ValueError(f"Padding strategy {global_padding} not supported" )
				__lowercase										=							num_channels
				__lowercase										=							embedding_size
				__lowercase										=							hidden_sizes
				__lowercase										=							depths
				__lowercase										=							layer_type
				__lowercase										=							hidden_act
				__lowercase										=							global_padding
				__lowercase										=							num_groups
				__lowercase										=							drop_path_rate
				__lowercase										=							embedding_dynamic_padding
				__lowercase										=							output_stride
				__lowercase										=							width_factor

				__lowercase										=							['''stem'''] + [f"stage{idx}" for idx in range(1     ,len(__UpperCamelCase ) + 1 )]
				__lowercase						,		__lowercase										=							get_aligned_output_features_output_indices(
				    out_features=__UpperCamelCase     ,out_indices=__UpperCamelCase     ,stage_names=self.stage_names )












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

			__lowercase										=							(low + high) // 2
			__lowercase						,		__lowercase						,		__lowercase										=							max_subarray(lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_				)
			__lowercase						,		__lowercase						,		__lowercase										=							max_subarray(lowerCamelCase_		,       mid + 1		,       lowerCamelCase_				)
			__lowercase						,		__lowercase						,		__lowercase										=							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				):
			__lowercase						,		__lowercase										=							float('''-inf'''				), -1
			__lowercase						,		__lowercase										=							float('''-inf'''				), -1

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

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

			return max_left, max_right, (left_sum + right_sum)




def    _lowerCAmelCase						(				lowerCamelCase_			:  int				):
			__lowercase										=							[randint(1		,       lowerCamelCase_				) for _ in range(lowerCamelCase_				)]
			__lowercase										=							time.time()
			max_subarray(lowerCamelCase_		,       0		,       input_size - 1				)
			__lowercase										=							time.time()
			return end - start




def    _lowerCAmelCase						(				):
			__lowercase										=							[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]
			__lowercase										=							[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()





