




from math import ceil







def        lowerCAmelCase_			(  snake_case_,snake_case_  ):
      _A							:  Optional[int]    =		list(range(0,snake_case_  )  )

      _A							:  Optional[int]    =		[item for sublist in list(device_map.values()  ) for item in sublist]

      # Duplicate check
      _A							:  Optional[int]    =		[]
      for i in device_map_blocks:
            if device_map_blocks.count(snake_case_  ) > 1 and i not in duplicate_blocks:
                  duplicate_blocks.append(snake_case_  )
    # Missing blocks
      _A							:  List[str]    =		[i for i in blocks if i not in device_map_blocks]
      _A							:  Optional[Any]    =		[i for i in device_map_blocks if i not in blocks]

      if len(snake_case_  ) != 0:
            raise ValueError(
                """Duplicate attention blocks specified in device_map. Attention blocks must be specified to one device."""
                """ These attention blocks were specified more than once: """ + str(snake_case_  )  )
      if len(snake_case_  ) != 0:
            raise ValueError(
                """There are attention blocks for this model that are not specified in the device_map. Add these attention """
                """blocks to a device on the device_map: """ + str(snake_case_  )  )
      if len(snake_case_  ) != 0:
            raise ValueError(
                """The device_map contains more attention blocks than this model has. Remove these from the device_map:"""
                + str(snake_case_  )  )







def        lowerCAmelCase_			(  snake_case_,snake_case_  ):
      _A							:  int    =		list(range(snake_case_  )  )
      _A							:  Tuple    =		int(ceil(n_layers / len(snake_case_  )  )  )
      _A							:  int    =		[layers[i : i + n_blocks] for i in range(0,snake_case_,snake_case_  )]

      return dict(zip(snake_case_,snake_case_  )  )







from __future__ import annotations







def        lowerCAmelCase_			(  snake_case_,snake_case_ = None  ):
      _A							:  Tuple    =		word_bank or []
      # create a table
      _A							:  int    =		len(snake_case_  ) + 1

      _A							:  list[list[list[str]]]    =		[]
      for _ in range(snake_case_  ):
            table.append([]  )
      # seed value
      _A							:  Dict    =		[[]]  # 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:
                              _A							:  list[list[str]]    =		[
                                  [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"],
      )
  )

