



from __future__ import annotations







def    _snake_case (       __snake_case					,  __snake_case = None    )     ->     int:






      '''simple docstring'''







      UpperCAmelCase_  :	Tuple				      =		word_bank or []
      # create a table
      UpperCAmelCase_  :	Optional[int]				      =		len(__snake_case    ) + 1

      UpperCAmelCase_  :	List[Any]				      =		[]
      for _ in range(__snake_case    ):
            table.append([]    )
      # seed value
      UpperCAmelCase_  :	List[str]				      =		[[]]  # because empty string has empty combination

      # iterate through the indices
      for i in range(__snake_case    ):
            # condition
            if table[i] != []:
                  for word in word_bank:
                        # slice condition
                        if target[i : i + len(__snake_case    )] == word:
                              UpperCAmelCase_  :	Any				      =		[
                                  [word, *way] for way in table[i]
                              ]
                              # adds the word to every combination the current position holds
                              # now,push that combination to the table[i+len(word)]
                              table[i + len(__snake_case    )] += new_combinations

    # combinations are in reverse order so reverse for better output
      for combination in table[len(__snake_case    )]:
            combination.reverse()

      return table[len(__snake_case    )]


if __name__ == "__main__":
   print(all_construct('''jwajalapa''', ['''jwa''', '''j''', '''w''', '''a''', '''la''', '''lapa''']))
   print(all_construct('''rajamati''', ['''s''', '''raj''', '''amat''', '''raja''', '''ma''', '''i''', '''t''']))
   print(
       all_construct(
           '''hexagonosaurus''',
           ['''h''', '''ex''', '''hex''', '''ag''', '''ago''', '''ru''', '''auru''', '''rus''', '''go''', '''no''', '''o''', '''s'''],
       )
   )





from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase = None     ,lowercase = None     ,lowercase = None     ,lowercase = None     ,lowercase = False     ,lowercase = False     ,lowercase = None     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[Any]				      =		path_or_paths
             UpperCAmelCase_  :	Optional[int]				      =		split if split or isinstance(lowercase     ,lowercase) else "train"
             UpperCAmelCase_  :	Optional[int]				      =		features
             UpperCAmelCase_  :	Dict				      =		cache_dir
             UpperCAmelCase_  :	int				      =		keep_in_memory
             UpperCAmelCase_  :	Tuple				      =		streaming
             UpperCAmelCase_  :	Union[str, Any]				      =		num_proc
             UpperCAmelCase_  :	Union[str, Any]				      =		kwargs



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





             pass


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase = None     ,lowercase = None     ,lowercase = False     ,lowercase = False     ,lowercase = None     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	List[Any]				      =		features
             UpperCAmelCase_  :	List[Any]				      =		cache_dir
             UpperCAmelCase_  :	List[str]				      =		keep_in_memory
             UpperCAmelCase_  :	Optional[int]				      =		streaming
             UpperCAmelCase_  :	Dict				      =		num_proc
             UpperCAmelCase_  :	str				      =		kwargs



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





             pass
