





from __future__ import annotations




def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_ = None  )     ->		Dict:
       UpperCamelCase_          =  word_bank or []
       # create a table
       UpperCamelCase_          =  len(UpperCamelCase_  ) + 1

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

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

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

       return table[len(UpperCamelCase_  )]


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 typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader



class 							_UpperCamelCase					(	lowerCAmelCase_     ):

       def __init__(		self: List[Any]					,   _SCREAMING_SNAKE_CASE: pyspark.sql.DataFrame					,   _SCREAMING_SNAKE_CASE: Optional[NamedSplit] = None					,   _SCREAMING_SNAKE_CASE: Optional[Features] = None					,   _SCREAMING_SNAKE_CASE: bool = True					,   _SCREAMING_SNAKE_CASE: str = None					,   _SCREAMING_SNAKE_CASE: bool = False					,   _SCREAMING_SNAKE_CASE: str = None					,   _SCREAMING_SNAKE_CASE: bool = True					,   _SCREAMING_SNAKE_CASE: str = "arrow"					,   **_SCREAMING_SNAKE_CASE: Union[str, Any]					,   )       -> Any:




              """simple docstring"""


              super().__init__(
                  split=_SCREAMING_SNAKE_CASE					,   features=_SCREAMING_SNAKE_CASE					,   cache_dir=_SCREAMING_SNAKE_CASE					,   keep_in_memory=_SCREAMING_SNAKE_CASE					,   streaming=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )
              UpperCamelCase_          =  load_from_cache_file
              UpperCamelCase_          =  file_format
              UpperCamelCase_          =  Spark(
                  df=_SCREAMING_SNAKE_CASE					,   features=_SCREAMING_SNAKE_CASE					,   cache_dir=_SCREAMING_SNAKE_CASE					,   working_dir=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )



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




              """simple docstring"""


              if self.streaming:
                     return self.builder.as_streaming_dataset(split=self.split		)
              UpperCamelCase_          =  None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
              self.builder.download_and_prepare(
                  download_mode=_SCREAMING_SNAKE_CASE					,   file_format=self._file_format					,   )
              return self.builder.as_dataset(split=self.split		)

