






'''simple docstring'''


class    _SCREAMING_SNAKE_CASE							:


   '''simple docstring'''





   def __init__(   self							:						str ,      lowercase							:						str = "" ,      lowercase							:						bool = False			)							->    None:

         '''simple docstring'''







         UpperCamelCase__         = {}

         # A node will be a leaf if the tree contains its word
         UpperCamelCase__         = is_leaf

         UpperCamelCase__         = prefix






   def 				A      (   self							:						Optional[int] ,      lowercase							:						str			)							->    tuple[str, str, str]:

         '''simple docstring'''







         UpperCamelCase__         = 0
         for q, w in zip(self.prefix ,      lowercase			):
               if q != w:
                     break

               x += 1

         return self.prefix[:x], self.prefix[x:], word[x:]






   def 				A      (   self							:						int ,      lowercase							:						list[str]			)							->    None:

         '''simple docstring'''







         for word in words:
               self.insert(lowercase			)






   def 				A      (   self							:						Any ,      lowercase							:						str			)							->    None:

         '''simple docstring'''







         if self.prefix == word:
               UpperCamelCase__         = True

         # Case 2: The node has no edges that have a prefix to the word
         # Solution: We create an edge from the current node to a new one
         # containing the word
         elif word[0] not in self.nodes:
               UpperCamelCase__         = RadixNode(prefix=lowercase ,      is_leaf=lowercase			)

         else:
               UpperCamelCase__         = self.nodes[word[0]]
               UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = incoming_node.match(
                   lowercase			)

               # Case 3: The node prefix is equal to the matching
               # Solution: We insert remaining word on the next node
               if remaining_prefix == "":
                     self.nodes[matching_string[0]].insert(lowercase			)

               # Case 4: The word is greater equal to the matching
               # Solution: Create a node in between both nodes, change
               # prefixes and add the new node for the remaining word
               else:
                     UpperCamelCase__         = remaining_prefix

                     UpperCamelCase__         = self.nodes[matching_string[0]]
                     UpperCamelCase__         = RadixNode(lowercase ,      lowercase			)
                     UpperCamelCase__         = aux_node

                     if remaining_word == "":
                           UpperCamelCase__         = True
                     else:
                           self.nodes[matching_string[0]].insert(lowercase			)






   def 				A      (   self							:						Tuple ,      lowercase							:						str			)							->    bool:

         '''simple docstring'''







         UpperCamelCase__         = self.nodes.get(word[0] ,      lowercase			)
         if not incoming_node:
               return False
         else:
               UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = incoming_node.match(
                   lowercase			)
               # If there is remaining prefix, the word can't be on the tree
               if remaining_prefix != "":
                     return False
               # This applies when the word and the prefix are equal
               elif remaining_word == "":
                     return incoming_node.is_leaf
               # We have word remaining so we check the next node
               else:
                     return incoming_node.find(lowercase			)






   def 				A      (   self							:						Optional[Any] ,      lowercase							:						str			)							->    bool:

         '''simple docstring'''







         UpperCamelCase__         = self.nodes.get(word[0] ,      lowercase			)
         if not incoming_node:
               return False
         else:
               UpperCamelCase__    ,   UpperCamelCase__    ,   UpperCamelCase__         = incoming_node.match(
                   lowercase			)
               # If there is remaining prefix, the word can't be on the tree
               if remaining_prefix != "":
                     return False
               # We have word remaining so we check the next node
               elif remaining_word != "":
                     return incoming_node.delete(lowercase			)
               else:
                     # If it is not a leaf, we don't have to delete
                     if not incoming_node.is_leaf:
                           return False
                     else:
                           # We delete the nodes if no edges go from it
                           if len(incoming_node.nodes			) == 0:
                                 del self.nodes[word[0]]
                                 # We merge the current node with its only child
                                 if len(self.nodes			) == 1 and not self.is_leaf:
                                       UpperCamelCase__         = list(self.nodes.values()			)[0]
                                       UpperCamelCase__         = merging_node.is_leaf
                                       self.prefix += merging_node.prefix
                                       UpperCamelCase__         = merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                           elif len(incoming_node.nodes			) > 1:
                                 UpperCamelCase__         = False
                           # If there is 1 edge, we merge it with its child
                           else:
                                 UpperCamelCase__         = list(incoming_node.nodes.values()			)[0]
                                 UpperCamelCase__         = merging_node.is_leaf
                                 incoming_node.prefix += merging_node.prefix
                                 UpperCamelCase__         = merging_node.nodes

                           return True







   def 				A      (   self							:						Optional[Any] ,      lowercase							:						int = 0			)							->    None:

         '''simple docstring'''







         if self.prefix != "":
               print("""-""" * height ,      self.prefix ,      """  (leaf)""" if self.is_leaf else """"""			)

         for value in self.nodes.values():
               value.print_tree(height + 1			)







def 	__magic_name__( ):
      '''simple docstring'''





      UpperCamelCase__         = """banana bananas bandana band apple all beast""".split()
      UpperCamelCase__         = RadixNode()
      root.insert_many(_A					)

      assert all(root.find(_A					) for word in words					)
      assert not root.find("""bandanas"""					)
      assert not root.find("""apps"""					)
      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__( ):
      '''simple docstring'''





      assert test_trie()







def 	__magic_name__( ):
      '''simple docstring'''





      UpperCamelCase__         = RadixNode()
      UpperCamelCase__         = """banana bananas bandanas bandana band apple all beast""".split()
      root.insert_many(_A					)

      print("""Words:"""						,      _A					)
      print("""Tree:"""					)
      root.print_tree()


if __name__ == "__main__":
     main()








'''simple docstring'''


from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml
class    _SCREAMING_SNAKE_CASE							(		yaml.SafeLoader	):


			'''simple docstring'''





			def 				A      (   self							:						List[str] ,      lowercase							:						List[Any]			)							->    int:

									'''simple docstring'''







									UpperCamelCase__         = [self.constructed_objects[key_node] for key_node, _ in node.value]
									UpperCamelCase__         = [tuple(lowercase			) if isinstance(lowercase ,      lowercase			) else key for key in keys]
									UpperCamelCase__         = Counter(lowercase			)
									UpperCamelCase__         = [key for key in counter if counter[key] > 1]
									if duplicate_keys:
															raise TypeError(f"Got duplicate yaml keys: {duplicate_keys}"			)







			def 				A      (   self							:						List[str] ,      lowercase							:						int ,      lowercase							:						str=False			)							->    Any:

									'''simple docstring'''







									UpperCamelCase__         = super().construct_mapping(lowercase ,      deep=lowercase			)
									self._check_no_duplicates_on_constructed_node(lowercase			)
									return mapping







def 	__magic_name__( _A					):
						'''simple docstring'''





						UpperCamelCase__         = list(readme_content.splitlines()					)
						if full_content and full_content[0] == "---" and "---" in full_content[1:]:
												UpperCamelCase__         = full_content[1:].index("""---"""					) + 1
												UpperCamelCase__         = """\n""".join(full_content[1:sep_idx]					)
												return yamlblock, "\n".join(full_content[sep_idx + 1 :]					)

						return None, "\n".join(_A					)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Tuple					     =					{"train_eval_index"}  # train-eval-index in the YAML metadata






			@classmethod
			def 				A      (   cls							:						int ,      lowercase							:						Path			)							->    "DatasetMetadata":

									'''simple docstring'''







									with open(lowercase ,      encoding="""utf-8"""			) as readme_file:
															UpperCamelCase__    ,   UpperCamelCase__         = _split_yaml_from_readme(readme_file.read()			)
									if yaml_string is not None:
															return cls.from_yaml_string(lowercase			)
									else:
															return cls()






			def 				A      (   self							:						int ,      lowercase							:						Path			)							->    Dict:

									'''simple docstring'''







									if path.exists():
															with open(lowercase ,      encoding="""utf-8"""			) as readme_file:
																					UpperCamelCase__         = readme_file.read()
									else:
															UpperCamelCase__         = None
									UpperCamelCase__         = self._to_readme(lowercase			)
									with open(lowercase ,      """w""" ,      encoding="""utf-8"""			) as readme_file:
															readme_file.write(lowercase			)






			def 				A      (   self							:						Any ,      lowercase							:						Optional[str] = None			)							->    str:

									'''simple docstring'''







									if readme_content is not None:
															UpperCamelCase__    ,   UpperCamelCase__         = _split_yaml_from_readme(lowercase			)
															UpperCamelCase__         = """---\n""" + self.to_yaml_string() + """---\n""" + content
									else:
															UpperCamelCase__         = """---\n""" + self.to_yaml_string() + """---\n"""
									return full_content






			@classmethod
			def 				A      (   cls							:						Tuple ,      lowercase							:						str			)							->    "DatasetMetadata":

									'''simple docstring'''







									UpperCamelCase__         = yaml.load(lowercase ,      Loader=_NoDuplicateSafeLoader			) or {}

									# Convert the YAML keys to DatasetMetadata fields
									UpperCamelCase__         = {
									    (key.replace("""-""" ,      """_"""			) if key.replace("""-""" ,      """_"""			) in cls._FIELDS_WITH_DASHES else key): value
									    for key, value in metadata_dict.items()
									}
									return cls(**lowercase			)







			def 				A      (   self							:						Dict			)							->    str:

									'''simple docstring'''







									return yaml.safe_dump(
									    {
									        (key.replace("""_""" ,      """-"""			) if key in self._FIELDS_WITH_DASHES else key): value
									        for key, value in self.items()
									    } ,      sort_keys=lowercase ,      allow_unicode=lowercase ,      encoding="""utf-8""" ,      ).decode("""utf-8"""			)
lowerCamelCase_				: str    	=							{
    '''image-classification''': [],
    '''translation''': [],
    '''image-segmentation''': [],
    '''fill-mask''': [],
    '''automatic-speech-recognition''': [],
    '''token-classification''': [],
    '''sentence-similarity''': [],
    '''audio-classification''': [],
    '''question-answering''': [],
    '''summarization''': [],
    '''zero-shot-classification''': [],
    '''table-to-text''': [],
    '''feature-extraction''': [],
    '''other''': [],
    '''multiple-choice''': [],
    '''text-classification''': [],
    '''text-to-image''': [],
    '''text2text-generation''': [],
    '''zero-shot-image-classification''': [],
    '''tabular-classification''': [],
    '''tabular-regression''': [],
    '''image-to-image''': [],
    '''tabular-to-text''': [],
    '''unconditional-image-generation''': [],
    '''text-retrieval''': [],
    '''text-to-speech''': [],
    '''object-detection''': [],
    '''audio-to-audio''': [],
    '''text-generation''': [],
    '''conversational''': [],
    '''table-question-answering''': [],
    '''visual-question-answering''': [],
    '''image-to-text''': [],
    '''reinforcement-learning''': [],
    '''voice-activity-detection''': [],
    '''time-series-forecasting''': [],
    '''document-question-answering''': [],
}


if __name__ == "__main__":
					from argparse import ArgumentParser

					lowerCamelCase_				: Tuple    	=							ArgumentParser(usage='''Validate the yaml metadata block of a README.md file.''')
					ap.add_argument('''readme_filepath''')
					lowerCamelCase_				: str    	=							ap.parse_args()

					lowerCamelCase_				: List[str]    	=							Path(args.readme_filepath)
					lowerCamelCase_				: Tuple    	=							DatasetMetadata.from_readme(readme_filepath)
					print(dataset_metadata)
					dataset_metadata.to_readme(readme_filepath)
