



"""simple docstring"""




from typing import TYPE_CHECKING

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


_UpperCamelCase:					List[Any]     				=	{
    'configuration_open_llama': ['OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OpenLlamaConfig'],
}

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

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

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCamelCase:					List[str]     				=	[
         '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

     _UpperCamelCase:					Tuple     				=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





"""simple docstring"""




from __future__ import annotations

from typing import Generic, TypeVar

_UpperCamelCase:					str     				=	TypeVar('T')


class 	a__		(    Generic[T]  ):


   def __init__(				self   :				Optional[int],  lowerCAmelCase   :				T      )     ->							List[Any]:
         lowercase	:   Optional[int]											= data  # Assign data
         lowercase	:   Node[T] | None											= None  # Initialize next as null
         lowercase	:   Node[T] | None											= None  # Initialize prev as null




class 	a__		(    Generic[T]  ):


   def __init__(				self   :				Optional[int]      )     ->							None:
         lowercase	:   Node[T] | None											= None


   def 							lowercase					(				self   :				Any,  lowerCAmelCase   :				T      )     ->							None:
         if self.head is None:
               lowercase	:   Tuple											= Node(lowerCAmelCase      )
         else:
               lowercase	:   Dict											= Node(lowerCAmelCase      )
               lowercase	:   str											= new_node
               lowercase	:   int											= self.head
               lowercase	:   List[str]											= None
               lowercase	:   List[str]											= new_node


   def 							lowercase					(				self   :				Dict      )     ->							T | None:
         if self.head is None:
               return None
         else:
               assert self.head is not None
               lowercase	:   Optional[int]											= self.head.data
               lowercase	:   Any											= self.head.next
               if self.head is not None:
                     lowercase	:   Optional[Any]											= None
               return temp


   def 							lowercase					(				self   :				List[Any]      )     ->							T | None:
         return self.head.data if self.head is not None else None


   def __len__(				self   :				int      )     ->							int:
         lowercase	:   Any											= self.head
         lowercase	:   List[Any]											= 0
         while temp is not None:
               count += 1
               lowercase	:   Any											= temp.next
         return count


   def 							lowercase					(				self   :				List[Any]      )     ->							bool:
         return self.head is None






   def 							lowercase					(				self   :				Optional[int]      )     ->							None:
         print('stack elements are:'      )
         lowercase	:   Optional[int]											= self.head
         while temp is not None:
               print(temp.data,  end='->'      )
               lowercase	:   List[str]											= temp.next


# Code execution starts here
if __name__ == "__main__":
     # Start with the empty stack
     _UpperCamelCase:					Stack[int]     				=	Stack()

     # Insert 4 at the beginning. So stack becomes 4->None
     print('Stack operations using Doubly LinkedList')
     stack.push(4)

     # Insert 5 at the beginning. So stack becomes 4->5->None
     stack.push(5)

     # Insert 6 at the beginning. So stack becomes 4->5->6->None
     stack.push(6)

     # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
     stack.push(7)

     # Print the stack
     stack.print_stack()

     # Print the top element
     print('\nTop element is ', stack.top())

     # Print the stack size
     print('Size of the stack is ', len(stack))

     # pop the top element
     stack.pop()

     # pop the top element
     stack.pop()

     # two elements have now been popped off
     stack.print_stack()

     # Print True if the stack is empty else False
     print('\nstack is empty:', stack.is_empty())
