
class 		__lowerCamelCase     :



							def __init__(     self	,				__snake_case=None							)						->     str:






								"""simple docstring"""



								UpperCAmelCase:					str 						=     data
								UpperCAmelCase:					str 						=     None




							def __repr__(     self							)						->     Any:






								"""simple docstring"""



								UpperCAmelCase:					List[str] 						=     ""
								UpperCAmelCase:					Optional[Any] 						=     self
								while temp:
									string_rep += F'<{temp.data}> ---> '
									UpperCAmelCase:					str 						=     temp.next
								string_rep += "<END>"
								return string_rep



def      __UpperCAmelCase    (  snake_case_							:		str				):



	'''simple docstring'''



	if not elements_list:
		raise Exception("The Elements List is empty"				)

	# Set first element as Head
	UpperCAmelCase:					Any 						=     Node(elements_list[0]				)
	UpperCAmelCase:					List[Any] 						=     head
	# Loop through elements from position 1
	for data in elements_list[1:]:
		UpperCAmelCase:					int 						=     Node(snake_case_				)
		UpperCAmelCase:					str 						=     current.next
	return head


snake_case_      :					List[str]				      =     [1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(f"""List: {list_data}""")
print('Creating Linked List from List.')
snake_case_      :					Union[str, Any]				      =     make_linked_list(list_data)
print('Linked List:')


print(linked_list)


from typing import TYPE_CHECKING

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


snake_case_      :					Any				      =     {
    'configuration_imagegpt': ['IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ImageGPTConfig', 'ImageGPTOnnxConfig']
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_      :					str				      =     ['ImageGPTFeatureExtractor']
	snake_case_      :					Optional[int]				      =     ['ImageGPTImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_      :					List[str]				      =     [
	    'IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'ImageGPTForCausalImageModeling',
	    'ImageGPTForImageClassification',
	    'ImageGPTModel',
	    'ImageGPTPreTrainedModel',
	    'load_tf_weights_in_imagegpt',
	]


if TYPE_CHECKING:
	from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
		from .image_processing_imagegpt import ImageGPTImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_imagegpt import (
		    IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    ImageGPTForCausalImageModeling,
		    ImageGPTForImageClassification,
		    ImageGPTModel,
		    ImageGPTPreTrainedModel,
		    load_tf_weights_in_imagegpt,
		)

else:
	import sys

	snake_case_      :					Dict				      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
