




class      _UpperCamelCase :
      def __init__(     self				:List[str]	, lowerCamelCase				:Any=None )       ->     Optional[Any]:
       UpperCAmelCase__								=  data
       UpperCAmelCase__								=  None







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



def   lowerCAmelCase						(						_lowerCAmelCase							:				int		):




 """simple docstring"""







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

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


_lowerCAmelCase  :				List[Any]				=				[1, 3, 5, 3_2, 4_4, 1_2, 4_3]
print(F'''List: {list_data}''')
print("Creating Linked List from List.")
_lowerCAmelCase  :				int				=				make_linked_list(list_data)
print("Linked List:")


print(linked_list)











from typing import TYPE_CHECKING

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


_lowerCAmelCase  :				str						=				{
    "configuration_esm": ["ESM_PRETRAINED_CONFIG_ARCHIVE_MAP", "EsmConfig"],
    "tokenization_esm": ["EsmTokenizer"],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :				Union[str, Any]						=				[
      "ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "EsmForMaskedLM",
      "EsmForSequenceClassification",
      "EsmForTokenClassification",
      "EsmModel",
      "EsmPreTrainedModel",
  ]
  _lowerCAmelCase  :				Tuple						=				["EsmForProteinFolding", "EsmFoldPreTrainedModel"]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase  :				str						=				[
      "TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TFEsmForMaskedLM",
      "TFEsmForSequenceClassification",
      "TFEsmForTokenClassification",
      "TFEsmModel",
      "TFEsmPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_esm import ESM_PRETRAINED_CONFIG_ARCHIVE_MAP, EsmConfig
  from .tokenization_esm import EsmTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_esm import (
        ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
        EsmForMaskedLM,
        EsmForSequenceClassification,
        EsmForTokenClassification,
        EsmModel,
        EsmPreTrainedModel,
    )
    from .modeling_esmfold import EsmFoldPreTrainedModel, EsmForProteinFolding

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_esm import (
        TF_ESM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFEsmForMaskedLM,
        TFEsmForSequenceClassification,
        TFEsmForTokenClassification,
        TFEsmModel,
        TFEsmPreTrainedModel,
    )


else:
  import sys

  _lowerCAmelCase  :				List[Any]						=				_LazyModule(__name__, globals()["__file__"], _import_structure)





