



"""simple docstring"""




from __future__ import annotations

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

__snake_case    :		Dict  =(3, 9, -1_1, 0, 7, 5, 1, -1)
__snake_case    :		Optional[int]  =(4, 6, 2, 0, 8, 1_0, 3, -2)



@dataclass
class 	lowerCamelCase__      :




		'''simple docstring'''



		snake_case_     =42
		snake_case_     =42



class 	lowerCamelCase__      :




		'''simple docstring'''



		def __init__(self		,__lowerCamelCase			)					->      None:

						"""simple docstring"""






						lowerCAmelCase__					:    Node | None												=					None
						for i in sorted(__lowerCamelCase		,reverse=__lowerCamelCase			):
										lowerCAmelCase__					:    Any												=					Node(__lowerCamelCase		,self.head			)



		def __iter__(self			)					->      Iterator[int]:

						"""simple docstring"""






						lowerCAmelCase__					:    int												=					self.head
						while node:
										yield node.data
										lowerCAmelCase__					:    int												=					node.next_node



		def __len__(self			)					->      int:

						"""simple docstring"""






						return sum(1 for _ in self			)



		def __str__(self			)					->      str:

						"""simple docstring"""






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






def      lowerCAmelCase__		(   lowerCamelCase_		:		SortedLinkedList	,lowerCamelCase_		:		SortedLinkedList):





				'''simple docstring'''

				return SortedLinkedList(list(lowerCamelCase_) + list(lowerCamelCase_))


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							__snake_case    :		Optional[Any]  =SortedLinkedList
							print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__snake_case    :		str  ={
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		Tuple  =['ConditionalDetrFeatureExtractor']
							__snake_case    :		Union[str, Any]  =['ConditionalDetrImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__snake_case    :		List[str]  =[
							    'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'ConditionalDetrForObjectDetection',
							    'ConditionalDetrForSegmentation',
							    'ConditionalDetrModel',
							    'ConditionalDetrPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_conditional_detr import (
							    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    ConditionalDetrConfig,
							    ConditionalDetrOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
														from .image_processing_conditional_detr import ConditionalDetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_conditional_detr import (
														    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ConditionalDetrForObjectDetection,
														    ConditionalDetrForSegmentation,
														    ConditionalDetrModel,
														    ConditionalDetrPreTrainedModel,
														)

else:
							import sys

							__snake_case    :		str  =_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

