
"""simple docstring"""
class    _snake_case  :






							def __init__(					self						:			List[str]						, snake_case__						:			Any=None    ):






												"""simple docstring"""



												__a:						List[Any]		    =					data
												__a:						int		    =					None






							def __repr__(					self						:			Union[str, Any]    ):






												"""simple docstring"""



												__a:						int		    =					""""""
												__a:						List[str]		    =					self
												while temp:
																	string_rep += f"""<{temp.data}> ---> """
																	__a:						Union[str, Any]		    =					temp.next
												string_rep += "<END>"
												return string_rep






def     lowerCamelCase_    (	lowerCamelCase_ )     ->			int:


					'''simple docstring'''

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

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


lowercase		:						List[Any] =					[1, 3, 5, 32, 44, 12, 43]
print(F"List: {list_data}")
print('Creating Linked List from List.')
lowercase		:						Tuple =					make_linked_list(list_data)
print('Linked List:')




print(linked_list)


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase		:						List[str] =					{
    'configuration_open_llama': ['OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OpenLlamaConfig'],
}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:						Tuple =					['LlamaTokenizer']

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:						Dict =					['LlamaTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase		:						List[Any] =					[
			    'OpenLlamaForCausalLM',
			    'OpenLlamaModel',
			    'OpenLlamaPreTrainedModel',
			    'OpenLlamaForSequenceClassification',
			]


if TYPE_CHECKING:
			from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig

			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from transformers import LlamaTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from transformers import LlamaTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_open_llama import (
						    OpenLlamaForCausalLM,
						    OpenLlamaForSequenceClassification,
						    OpenLlamaModel,
						    OpenLlamaPreTrainedModel,
						)


else:
			import sys

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