
from __future__ import annotations




def  lowerCamelCase__ (  a__     :     list[int]   )						->		str:  # This function is recursive
       UpperCamelCase_											=				len(__lowerCAmelCase   )
       # If the array contains only one element, we return it (it's the stop condition of
       # recursion)
       if array_length <= 1:
              return array
              # Else
       UpperCamelCase_											=				array[0]
       UpperCamelCase_											=				False
       UpperCamelCase_											=				1
       UpperCamelCase_											=				[]
       while not is_found and i < array_length:
              if array[i] < pivot:
                     UpperCamelCase_											=				True
                     UpperCamelCase_											=				[element for element in array[i:] if element >= array[i]]
                     UpperCamelCase_											=				longest_subsequence(__lowerCAmelCase   )
                     if len(__lowerCAmelCase   ) > len(__lowerCAmelCase   ):
                            UpperCamelCase_											=				temp_array
              else:
                     i += 1

       UpperCamelCase_											=				[element for element in array[1:] if element >= pivot]
       UpperCamelCase_											=				[pivot, *longest_subsequence(__lowerCAmelCase   )]
       if len(__lowerCAmelCase   ) > len(__lowerCAmelCase   ):
              return temp_array
       else:
              return longest_subseq


if __name__ == "__main__":
      import doctest

      doctest.testmod()







from typing import TYPE_CHECKING

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


snake_case							:       str     			=      {
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Any     			=      [
						    '''RagModel''',
						    '''RagPreTrainedModel''',
						    '''RagSequenceForGeneration''',
						    '''RagTokenForGeneration''',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:       Optional[int]     			=      [
						    '''TFRagModel''',
						    '''TFRagPreTrainedModel''',
						    '''TFRagSequenceForGeneration''',
						    '''TFRagTokenForGeneration''',
						]


if TYPE_CHECKING:
						from .configuration_rag import RagConfig
						from .retrieval_rag import RagRetriever
						from .tokenization_rag import RagTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_rag import (
												    TFRagModel,
												    TFRagPreTrainedModel,
												    TFRagSequenceForGeneration,
												    TFRagTokenForGeneration,
												)

else:
						import sys

						snake_case							:       int     			=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




