


from math import factorial, pi






def 			UpperCamelCase (     __magic_name__					:							float   ,   __magic_name__					:							int = 30					)       ->  float:
		"""simple docstring"""




		if not isinstance(__magic_name__   ,   (int, float)					):
				raise ValueError("""maclaurin_sin() requires either an int or float for theta"""					)

		if not isinstance(__magic_name__   ,   __magic_name__					) or accuracy <= 0:
				raise ValueError("""maclaurin_sin() requires a positive int for accuracy"""					)

		lowercase__					      =		float(__magic_name__					)
		lowercase__					      =		theta // (2 * pi)
		theta -= 2 * div * pi
		return sum(
		    (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1					) for r in range(__magic_name__					)					)






def 			UpperCamelCase (     __magic_name__					:							float   ,   __magic_name__					:							int = 30					)       ->  float:
		"""simple docstring"""




		if not isinstance(__magic_name__   ,   (int, float)					):
				raise ValueError("""maclaurin_cos() requires either an int or float for theta"""					)

		if not isinstance(__magic_name__   ,   __magic_name__					) or accuracy <= 0:
				raise ValueError("""maclaurin_cos() requires a positive int for accuracy"""					)

		lowercase__					      =		float(__magic_name__					)
		lowercase__					      =		theta // (2 * pi)
		theta -= 2 * div * pi
		return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r					) for r in range(__magic_name__					)					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	print(maclaurin_sin(1_0))
	print(maclaurin_sin(-1_0))
	print(maclaurin_sin(1_0, 1_5))
	print(maclaurin_sin(-1_0, 1_5))

	print(maclaurin_cos(5))
	print(maclaurin_cos(-5))
	print(maclaurin_cos(1_0, 1_5))
	print(maclaurin_cos(-1_0, 1_5))





import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


A	:		List[str]    =       logging.get_logger(__name__)

A	:		List[Any]    =       {
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			'''segformer'''

					def __init__(self   :						Dict				, _UpperCAmelCase   :						Optional[int]=3				, _UpperCAmelCase   :						Dict=4				, _UpperCAmelCase   :						Union[str, Any]=[2, 2, 2, 2]				, _UpperCAmelCase   :						List[str]=[8, 4, 2, 1]				, _UpperCAmelCase   :						str=[32, 64, 160, 256]				, _UpperCAmelCase   :						Optional[int]=[7, 3, 3, 3]				, _UpperCAmelCase   :						int=[4, 2, 2, 2]				, _UpperCAmelCase   :						str=[1, 2, 5, 8]				, _UpperCAmelCase   :						Optional[int]=[4, 4, 4, 4]				, _UpperCAmelCase   :						List[Any]="gelu"				, _UpperCAmelCase   :						Optional[Any]=0.0				, _UpperCAmelCase   :						Dict=0.0				, _UpperCAmelCase   :						Dict=0.1				, _UpperCAmelCase   :						List[str]=0.02				, _UpperCAmelCase   :						str=0.1				, _UpperCAmelCase   :						Optional[Any]=1E-6				, _UpperCAmelCase   :						Optional[Any]=256				, _UpperCAmelCase   :						Any=255				, **_UpperCAmelCase   :						str				, )						->       Tuple:




							"""simple docstring"""


							super().__init__(**_UpperCAmelCase		)

							if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
									warnings.warn(
									    """Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"""
									    """ removed, as the behaviour will default to that of reshape_last_stage = True."""				, _UpperCAmelCase				, )

							lowercase__					      =		num_channels
							lowercase__					      =		num_encoder_blocks
							lowercase__					      =		depths
							lowercase__					      =		sr_ratios
							lowercase__					      =		hidden_sizes
							lowercase__					      =		patch_sizes
							lowercase__					      =		strides
							lowercase__					      =		mlp_ratios
							lowercase__					      =		num_attention_heads
							lowercase__					      =		hidden_act
							lowercase__					      =		hidden_dropout_prob
							lowercase__					      =		attention_probs_dropout_prob
							lowercase__					      =		classifier_dropout_prob
							lowercase__					      =		initializer_range
							lowercase__					      =		drop_path_rate
							lowercase__					      =		layer_norm_eps
							lowercase__					      =		decoder_hidden_size
							lowercase__					      =		kwargs.get("""reshape_last_stage"""				, _UpperCAmelCase		)
							lowercase__					      =		semantic_loss_ignore_index






class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			version.parse('''1.11'''							)

					@property
					def   lowerCamelCase__					(self   :						Optional[int]		)						->       Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


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

					@property
					def   lowerCamelCase__					(self   :						Optional[int]		)						->       float:




							"""simple docstring"""


							return 1E-4


					@property
					def   lowerCamelCase__					(self   :						Optional[Any]		)						->       int:




							"""simple docstring"""


							return 12

