


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

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

__SCREAMING_SNAKE_CASE							:      List[Any]						=      (3, 9, -11, 0, 7, 5, 1, -1)
__SCREAMING_SNAKE_CASE							:      Tuple						=      (4, 6, 2, 0, 8, 10, 3, -2)





@dataclass
class        __A       :





				'''simple docstring'''

				__lowercase:						Optional[Any]							 =      42
				__lowercase:						int							 =      42





class        __A       :





				'''simple docstring'''

				def __init__(			self							: Union[str, Any]						,    UpperCAmelCase_							: Iterable[int]    )   ->List[Any]:



											"""simple docstring"""



											snake_case_          =						None
											for i in sorted(lowercase_						,    reverse=lowercase_    ):
																		snake_case_          =						Node(lowercase_						,    self.head    )



				def __iter__(			self							: Optional[int]    )   ->Tuple:



											"""simple docstring"""



											snake_case_          =						self.head
											while node:
																		yield node.data
																		snake_case_          =						node.next_node



				def __len__(			self							: str    )   ->Union[str, Any]:



											"""simple docstring"""



											return sum(1 for _ in self    )



				def __str__(			self							: List[str]    )   ->Optional[Any]:



											"""simple docstring"""



											return " -> ".join([str(lowercase_    ) for node in self]    )







def   _a			( _SCREAMING_SNAKE_CASE			,	_SCREAMING_SNAKE_CASE			)      ->			SortedLinkedList:
							return SortedLinkedList(list(UpperCAmelCase__			) + list(UpperCAmelCase__			)			)


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				__SCREAMING_SNAKE_CASE							:      List[str]						=      SortedLinkedList
				print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))







"""simple docstring"""
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


__SCREAMING_SNAKE_CASE							:      Dict						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:      Tuple						=      {
    'google/mobilenet_v1_1.0_224': 'https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json',
    'google/mobilenet_v1_0.75_192': 'https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json',
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						List[Any]							 =      """mobilenet_v1"""



							def __init__(			self							: Union[str, Any]						,    UpperCAmelCase_							: str=3						,    UpperCAmelCase_							: List[Any]=224						,    UpperCAmelCase_							: List[Any]=1.0						,    UpperCAmelCase_							: Any=8						,    UpperCAmelCase_							: int="relu6"						,    UpperCAmelCase_							: str=True						,    UpperCAmelCase_							: List[str]=0.999						,    UpperCAmelCase_							: Optional[Any]=0.02						,    UpperCAmelCase_							: List[Any]=0.001						,    **UpperCAmelCase_							: Any						,    )   ->Union[str, Any]:



														"""simple docstring"""



														super().__init__(**UpperCAmelCase_    )

														if depth_multiplier <= 0:
																					raise ValueError("""depth_multiplier must be greater than zero."""    )

														snake_case_          =						num_channels
														snake_case_          =						image_size
														snake_case_          =						depth_multiplier
														snake_case_          =						min_depth
														snake_case_          =						hidden_act
														snake_case_          =						tf_padding
														snake_case_          =						classifier_dropout_prob
														snake_case_          =						initializer_range
														snake_case_          =						layer_norm_eps





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						int							 =      version.parse("""1.11""")



							@property
							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->Mapping[str, Mapping[int, str]]:



														"""simple docstring"""



														return OrderedDict([("""pixel_values""", {0: """batch"""})]    )



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



														"""simple docstring"""



														if self.task == "image-classification":
																					return OrderedDict([("""logits""", {0: """batch"""})]    )
														else:
																					return OrderedDict([("""last_hidden_state""", {0: """batch"""}), ("""pooler_output""", {0: """batch"""})]    )



							@property
							def 						lowerCAmelCase    (			self							: int    )   ->float:



														"""simple docstring"""



														return 1E-4



