
"""simple docstring"""







class 					A__			:

		def __init__( self			,						_SCREAMING_SNAKE_CASE=None					):
			__lowerCAmelCase     :		Optional[int]		     = data
			__lowerCAmelCase     :		Tuple		     = None







		def __repr__( self					):
			__lowerCAmelCase     :		Dict		     = ''
			__lowerCAmelCase     :		Dict		     = self
			while temp:
				string_rep += f"<{temp.data}> ---> "
				__lowerCAmelCase     :		Optional[int]		     = temp.next
			string_rep += "<END>"
			return string_rep



def        __lowerCAmelCase							(_UpperCamelCase						):

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

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


lowerCamelCase__     =						[1, 3, 5, 32, 44, 12, 43]
print(f'List: {list_data}')
print("""Creating Linked List from List.""")
lowerCamelCase__     =						make_linked_list(list_data)
print("""Linked List:""")
print(linked_list)
"""simple docstring"""


from typing import TYPE_CHECKING

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


__A       			=      {
    """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
    """tokenization_realm""": ["""RealmTokenizer"""],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      ["""RealmTokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A       			=      [
     """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """RealmEmbedder""",
     """RealmForOpenQA""",
     """RealmKnowledgeAugEncoder""",
     """RealmPreTrainedModel""",
     """RealmReader""",
     """RealmScorer""",
     """load_tf_weights_in_realm""",
 ]
 __A       			=      ["""RealmRetriever"""]


if TYPE_CHECKING:
 from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
 from .tokenization_realm import RealmTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_realm import RealmTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_realm import (
      REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
      RealmEmbedder,
      RealmForOpenQA,
      RealmKnowledgeAugEncoder,
      RealmPreTrainedModel,
      RealmReader,
      RealmScorer,
      load_tf_weights_in_realm,
  )
  from .retrieval_realm import RealmRetriever


else:
 import sys

 __A       			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
