




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     SCREAMING_SNAKE_CASE__		(_a			):
     def __init__(						self	:		Tuple       ,						__lowerCamelCase	:		Optional[NestedDataStructureLike[PathLike]] = None       ,						__lowerCamelCase	:		Optional[NamedSplit] = None       ,						__lowerCamelCase	:		Optional[Features] = None       ,						__lowerCamelCase	:		str = None       ,						__lowerCamelCase	:		bool = False       ,						__lowerCamelCase	:		bool = False       ,						__lowerCamelCase	:		Optional[int] = None       ,						**__lowerCamelCase	:		Tuple       ,						):



       """simple docstring"""
       lowerCAmelCase__										=      path_or_paths
       lowerCAmelCase__										=      split if split or isinstance(__lowerCamelCase       ,						__lowerCamelCase						) else '''train'''
       lowerCAmelCase__										=      features
       lowerCAmelCase__										=      cache_dir
       lowerCAmelCase__										=      keep_in_memory
       lowerCAmelCase__										=      streaming
       lowerCAmelCase__										=      num_proc
       lowerCAmelCase__										=      kwargs



     @abstractmethod
     def        A__      (						self	:		Union[str, Any]						):



       """simple docstring"""
       pass





class     SCREAMING_SNAKE_CASE__		(_a			):
     def __init__(						self	:		Union[str, Any]       ,						__lowerCamelCase	:		Optional[Features] = None       ,						__lowerCamelCase	:		str = None       ,						__lowerCamelCase	:		bool = False       ,						__lowerCamelCase	:		bool = False       ,						__lowerCamelCase	:		Optional[int] = None       ,						**__lowerCamelCase	:		List[Any]       ,						):



       """simple docstring"""
       lowerCAmelCase__										=      features
       lowerCAmelCase__										=      cache_dir
       lowerCAmelCase__										=      keep_in_memory
       lowerCAmelCase__										=      streaming
       lowerCAmelCase__										=      num_proc
       lowerCAmelCase__										=      kwargs



     @abstractmethod
     def        A__      (						self	:		Tuple						):



       """simple docstring"""
       pass







from __future__ import annotations
def 		a_							( __lowerCAmelCase   , __lowerCAmelCase = None				):
  lowerCAmelCase__										=      word_bank or []
  # create a table
  lowerCAmelCase__										=      len(__lowerCAmelCase				) + 1

  lowerCAmelCase__										=      []
  for _ in range(__lowerCAmelCase				):
    table.append([]				)
  # seed value
  lowerCAmelCase__										=      [[]]  # because empty string has empty combination

  # iterate through the indices
  for i in range(__lowerCAmelCase				):
    # condition
    if table[i] != []:
      for word in word_bank:
        # slice condition
        if target[i : i + len(__lowerCAmelCase				)] == word:
          lowerCAmelCase__										=      [
              [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(__lowerCAmelCase				)] += new_combinations

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

  return table[len(__lowerCAmelCase				)]


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"""],
          )
      )

