





'''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


_SCREAMING_SNAKE_CASE							     =			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							     =			{
    "google/efficientnet-b7": "https://huggingface.co/google/efficientnet-b7/resolve/main/config.json",
}
class 			_lowerCAmelCase		(			a_	):






     """simple docstring"""






     snake_case_						      =   '''efficientnet'''



     def __init__(   self							:			Optional[int]   ,       __snake_case							:			int = 3   ,       __snake_case							:			int = 6_00   ,       __snake_case							:			float = 2.0   ,       __snake_case							:			float = 3.1   ,       __snake_case							:			int = 8   ,       __snake_case							:			List[int] = [3, 3, 5, 3, 5, 5, 3]   ,       __snake_case							:			List[int] = [32, 16, 24, 40, 80, 1_12, 1_92]   ,       __snake_case							:			List[int] = [16, 24, 40, 80, 1_12, 1_92, 3_20]   ,       __snake_case							:			List[int] = []   ,       __snake_case							:			List[int] = [1, 2, 2, 2, 1, 2, 1]   ,       __snake_case							:			List[int] = [1, 2, 2, 3, 3, 4, 1]   ,       __snake_case							:			List[int] = [1, 6, 6, 6, 6, 6, 6]   ,       __snake_case							:			float = 0.25   ,       __snake_case							:			str = "swish"   ,       __snake_case							:			int = 25_60   ,       __snake_case							:			str = "mean"   ,       __snake_case							:			float = 0.02   ,       __snake_case							:			float = 0.0_01   ,       __snake_case							:			float = 0.99   ,       __snake_case							:			float = 0.5   ,       __snake_case							:			float = 0.2   ,       **__snake_case							:			str   ,       )->	Optional[Any]:
        super().__init__(**lowerCAmelCase_						)

        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(lowerCAmelCase_						) * 4




class 			_lowerCAmelCase		(			a_	):






     """simple docstring"""






     snake_case_						      =   version.parse("1.11"	)



     @property
     def      lowerCAmelCase			(   self							:			List[Any]						)->	Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
            ]						)



     @property
     def      lowerCAmelCase			(   self							:			str						)->	float:
        return 1e-5





'''simple docstring'''





from __future__ import annotations

import math

UpperCAmelCase__  			=				'''2020.9.26'''
UpperCAmelCase__  			=				'''xcodz-dot, cclaus, dhruvmanila'''






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float ):






			"""simple docstring"""




			if not all(isinstance(_SCREAMING_SNAKE_CASE,(float, int) ) for val in locals().values() ):
						__A=	f"""Input values must either be float or int: {list(locals().values() )}"""
						raise TypeError(_SCREAMING_SNAKE_CASE )
			__A=	((x * distance) / (z + distance)) * scale
			__A=	((y * distance) / (z + distance)) * scale
			return projected_x, projected_y






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: float,_SCREAMING_SNAKE_CASE					: str,_SCREAMING_SNAKE_CASE					: float ):






			"""simple docstring"""




			if not isinstance(_SCREAMING_SNAKE_CASE,_SCREAMING_SNAKE_CASE ):
						raise TypeError('Axis must be a str' )
			__A=	locals()
			del input_variables["axis"]
			if not all(isinstance(_SCREAMING_SNAKE_CASE,(float, int) ) for val in input_variables.values() ):
						__A=	(
						    'Input values except axis must either be float or int: '
						    f"""{list(input_variables.values() )}"""
						)
						raise TypeError(_SCREAMING_SNAKE_CASE )
			__A=	(angle % 360) / 450 * 180 / math.pi
			if axis == "z":
						__A=	x * math.cos(_SCREAMING_SNAKE_CASE ) - y * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	y * math.cos(_SCREAMING_SNAKE_CASE ) + x * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	z
			elif axis == "x":
						__A=	y * math.cos(_SCREAMING_SNAKE_CASE ) - z * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	z * math.cos(_SCREAMING_SNAKE_CASE ) + y * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	x
			elif axis == "y":
						__A=	x * math.cos(_SCREAMING_SNAKE_CASE ) - z * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	z * math.cos(_SCREAMING_SNAKE_CASE ) + x * math.sin(_SCREAMING_SNAKE_CASE )
						__A=	y
			else:
						raise ValueError('not a valid axis, choose one of \'x\', \'y\', \'z\'' )

			return new_x, new_y, new_z


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					print(F"""{convert_to_ad(1.0, 2.0, 3.0, 10.0, 10.0) = }""")
					print(F"""{rotate(1.0, 2.0, 3.0, 'y', 90.0) = }""")



