class  UpperCamelCase				:

     '''simple docstring'''

     def __init__(					self						) ->				None:






           """simple docstring"""
           _lowerCamelCase			    =				{}  # Mapping from char to TrieNode
           _lowerCamelCase			    =				False



     def 		UpperCamelCase_						(					self				,				A_						) ->				None:






           """simple docstring"""
           for word in words:
                 self.insert(A_						)



     def 		UpperCamelCase_						(					self				,				A_						) ->				None:






           """simple docstring"""
           _lowerCamelCase			    =				self
           for char in word:
                 if char not in curr.nodes:
                       _lowerCamelCase			    =				TrieNode()
                 _lowerCamelCase			    =				curr.nodes[char]
           _lowerCamelCase			    =				True



     def 		UpperCamelCase_						(					self				,				A_						) ->				bool:






           """simple docstring"""
           _lowerCamelCase			    =				self
           for char in word:
                 if char not in curr.nodes:
                       return False
                 _lowerCamelCase			    =				curr.nodes[char]
           return curr.is_leaf





     def 		UpperCamelCase_						(					self				,				A_						) ->				None:






           """simple docstring"""

           def _delete(A_				,				A_				,				A_						) -> bool:
                 if index == len(A_						):
                       # If word does not exist
                       if not curr.is_leaf:
                             return False
                       _lowerCamelCase			    =				False
                       return len(curr.nodes						) == 0
                 _lowerCamelCase			    =				word[index]
                 _lowerCamelCase			    =				curr.nodes.get(A_						)
                 # If char not in current trie node
                 if not char_node:
                       return False
                 # Flag to check if node can be deleted
                 _lowerCamelCase			    =				_delete(A_				,				A_				,				index + 1						)
                 if delete_curr:
                       del curr.nodes[char]
                       return len(curr.nodes						) == 0
                 return delete_curr

           _delete(self				,				A_				,				0						)





def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    None:



      '''simple docstring'''

      if node.is_leaf:
            print(__UpperCAmelCase ,						end=''' '''		)

      for key, value in node.nodes.items():
            print_words(__UpperCAmelCase ,						word + key		)
def       __magic_name__(  )						->    bool:



      '''simple docstring'''

      _lowerCamelCase			    =				'''banana bananas bandana band apple all beast'''.split()
      _lowerCamelCase			    =				TrieNode()
      root.insert_many(__UpperCAmelCase		)
      # print_words(root, "")
      assert all(root.find(__UpperCAmelCase		) for word in words		)
      assert root.find('''banana'''		)
      assert not root.find('''bandanas'''		)
      assert not root.find('''apps'''		)
      assert root.find('''apple'''		)
      assert root.find('''all'''		)
      root.delete('''all'''		)
      assert not root.find('''all'''		)
      root.delete('''banana'''		)
      assert not root.find('''banana'''		)
      assert root.find('''bananas'''		)
      return True
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    None:



      '''simple docstring'''

      print(str(__UpperCAmelCase		) ,						'''works!''' if passes else '''doesn\'t work :('''		)
def       __magic_name__(  )						->    None:



      '''simple docstring'''

      assert test_trie()
def       __magic_name__(  )						->    None:



      '''simple docstring'''

      print_results('''Testing trie functionality''' ,						test_trie()		)


if __name__ == "__main__":
     main()
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


snake_case__				= {
    'configuration_whisper': ['WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WhisperConfig', 'WhisperOnnxConfig'],
    'feature_extraction_whisper': ['WhisperFeatureExtractor'],
    'processing_whisper': ['WhisperProcessor'],
    'tokenization_whisper': ['WhisperTokenizer'],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= ['WhisperTokenizerFast']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= [
         'WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'WhisperForConditionalGeneration',
         'WhisperModel',
         'WhisperPreTrainedModel',
         'WhisperForAudioClassification',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= [
         'TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'TFWhisperForConditionalGeneration',
         'TFWhisperModel',
         'TFWhisperPreTrainedModel',
     ]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case__				= [
         'FlaxWhisperForConditionalGeneration',
         'FlaxWhisperModel',
         'FlaxWhisperPreTrainedModel',
         'FlaxWhisperForAudioClassification',
     ]


if TYPE_CHECKING:
     from .configuration_whisper import WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP, WhisperConfig, WhisperOnnxConfig
     from .feature_extraction_whisper import WhisperFeatureExtractor
     from .processing_whisper import WhisperProcessor
     from .tokenization_whisper import WhisperTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_whisper_fast import WhisperTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_whisper import (
              WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
              WhisperForAudioClassification,
              WhisperForConditionalGeneration,
              WhisperModel,
              WhisperPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_whisper import (
              TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFWhisperForConditionalGeneration,
              TFWhisperModel,
              TFWhisperPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_whisper import (
              FlaxWhisperForAudioClassification,
              FlaxWhisperForConditionalGeneration,
              FlaxWhisperModel,
              FlaxWhisperPreTrainedModel,
          )

else:
     import sys

     snake_case__				= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)