

'''simple docstring'''





from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


A											=     logging.get_logger(__name__)

A											=     {
    'google/efficientnet-b7': 'https://huggingface.co/google/efficientnet-b7/resolve/main/config.json',
}


class SCREAMING_SNAKE_CASE  (		__lowerCamelCase							):






			"""simple docstring"""




			__A						  =  """efficientnet"""


			def __init__(    self ,				__UpperCamelCase = 3 ,				__UpperCamelCase = 6_00 ,				__UpperCamelCase = 2.0 ,				__UpperCamelCase = 3.1 ,				__UpperCamelCase = 8 ,				__UpperCamelCase = [3, 3, 5, 3, 5, 5, 3] ,				__UpperCamelCase = [32, 16, 24, 40, 80, 1_12, 1_92] ,				__UpperCamelCase = [16, 24, 40, 80, 1_12, 1_92, 3_20] ,				__UpperCamelCase = [] ,				__UpperCamelCase = [1, 2, 2, 2, 1, 2, 1] ,				__UpperCamelCase = [1, 2, 2, 3, 3, 4, 1] ,				__UpperCamelCase = [1, 6, 6, 6, 6, 6, 6] ,				__UpperCamelCase = 0.25 ,				__UpperCamelCase = "swish" ,				__UpperCamelCase = 25_60 ,				__UpperCamelCase = "mean" ,				__UpperCamelCase = 0.02 ,				__UpperCamelCase = 0.001 ,				__UpperCamelCase = 0.99 ,				__UpperCamelCase = 0.5 ,				__UpperCamelCase = 0.2 ,				**__UpperCamelCase ,				):

				"""simple docstring"""


				super().__init__(**UpperCAmelCase_							)

				snake_case_      		= num_channels
				snake_case_      		= image_size
				snake_case_      		= width_coefficient
				snake_case_      		= depth_coefficient
				snake_case_      		= depth_divisor
				snake_case_      		= kernel_sizes
				snake_case_      		= in_channels
				snake_case_      		= out_channels
				snake_case_      		= depthwise_padding
				snake_case_      		= strides
				snake_case_      		= num_block_repeats
				snake_case_      		= expand_ratios
				snake_case_      		= squeeze_expansion_ratio
				snake_case_      		= hidden_act
				snake_case_      		= hidden_dim
				snake_case_      		= pooling_type
				snake_case_      		= initializer_range
				snake_case_      		= batch_norm_eps
				snake_case_      		= batch_norm_momentum
				snake_case_      		= dropout_rate
				snake_case_      		= drop_connect_rate
				snake_case_      		= sum(UpperCAmelCase_							) * 4







class SCREAMING_SNAKE_CASE  (		__lowerCamelCase							):






			"""simple docstring"""




			__A						  =  version.parse("""1.11"""							)


			@property
			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return OrderedDict(
				    [
				        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
				    ]							)







			@property
			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return 1E-5



def a(lowercase__			, lowercase__	):





	'''simple docstring'''
	if not isinstance(lowercase__			, lowercase__	):
		raise ValueError('iterations must be defined as integers'	)
	if not isinstance(lowercase__			, lowercase__	) or not number >= 1:
		raise ValueError(
		    'starting number must be\n                         and integer and be more than 0'	)
	if not iterations >= 1:
		raise ValueError('Iterations must be done more than 0 times to play FizzBuzz'	)

	snake_case_      		= ''
	while number <= iterations:
		if number % 3 == 0:
			out += "Fizz"
		if number % 5 == 0:
			out += "Buzz"
		if 0 not in (number % 3, number % 5):
			out += str(lowercase__	)

		# print(out)
		number += 1
		out += " "
	return out


if __name__ == "__main__":
		import doctest

		doctest.testmod()
