




"""simple docstring"""







from math import ceil

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Optional[Any]:






		"""simple docstring"""


		__lowercase				:		List[Any]												=				list(range(0,  _lowerCamelCase				)				)

		__lowercase				:		Any												=				[item for sublist in list(device_map.values()				) for item in sublist]

		# Duplicate check
		__lowercase				:		str												=				[]
		for i in device_map_blocks:
				if device_map_blocks.count(_lowerCamelCase				) > 1 and i not in duplicate_blocks:
						duplicate_blocks.append(_lowerCamelCase				)
						 # Missing blocks
		__lowercase				:		List[str]												=				[i for i in blocks if i not in device_map_blocks]
		__lowercase				:		Dict												=				[i for i in device_map_blocks if i not in blocks]

		if len(_lowerCamelCase				) != 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(_lowerCamelCase				)				)
		if len(_lowerCamelCase				) != 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(_lowerCamelCase				)				)
		if len(_lowerCamelCase				) != 0:
				raise ValueError(
				    "The device_map contains more attention blocks than this model has. Remove these from the device_map:"
				    + str(_lowerCamelCase				)				)





def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase				)			->Any:






		"""simple docstring"""


		__lowercase				:		Union[str, Any]												=				list(range(_lowerCamelCase				)				)
		__lowercase				:		List[str]												=				int(ceil(n_layers / len(_lowerCamelCase				)				)				)
		__lowercase				:		Optional[int]												=				[layers[i : i + n_blocks] for i in range(0,  _lowerCamelCase,  _lowerCamelCase				)]

		return dict(zip(_lowerCamelCase,  _lowerCamelCase				)				)






"""simple docstring"""







from __future__ import annotations

def 						snake_case__       (					_lowerCamelCase,  _lowerCamelCase = None				)			->list[list[str]]:






		"""simple docstring"""


		__lowercase				:		List[Any]												=				word_bank or []
		# create a table
		__lowercase				:		int												=				len(_lowerCamelCase				) + 1

		__lowercase				:		list[list[list[str]]]												=				[]
		for _ in range(_lowerCamelCase				):
				table.append([]				)
		# seed value
		__lowercase				:		Any												=				[[]]  # 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:
										__lowercase				:		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(_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'],
						    )
						)
