





from math import ceil


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : Any   ,    _lowercase     : Optional[int]			)   ->							List[str]:




		'''simple docstring'''
		lowercase__					:      Optional[Any]      =		list(range(0   ,    _lowercase			)			)

		lowercase__					:      Dict      =		[item for sublist in list(device_map.values()			) for item in sublist]

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

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





def       SCREAMING_SNAKE_CASE__  (       _lowercase     : Optional[Any]   ,    _lowercase     : Union[str, Any]			)   ->							List[Any]:




		'''simple docstring'''
		lowercase__					:      Optional[int]      =		list(range(_lowercase			)			)
		lowercase__					:      Dict      =		int(ceil(n_layers / len(_lowercase			)			)			)
		lowercase__					:      List[Any]      =		[layers[i : i + n_blocks] for i in range(0   ,    _lowercase   ,    _lowercase			)]

		return dict(zip(_lowercase   ,    _lowercase			)			)









from ..utils import DummyObject, requires_backends


class       __lowerCAmelCase					(       metaclass=_UpperCamelCase      ):


	'''simple docstring'''





	_A													=				["note_seq"]

	def __init__(						self:						int,					*lowerCamelCase_:						Optional[int],					**lowerCamelCase_:						Tuple			):
			requires_backends(self,					['note_seq']			)

	@classmethod
	def    snake_case__(						cls:						Optional[Any],					*lowerCamelCase_:						Tuple,					**lowerCamelCase_:						Optional[Any]			):
			requires_backends(cls,					['note_seq']			)





	@classmethod
	def    snake_case__(						cls:						Any,					*lowerCamelCase_:						Dict,					**lowerCamelCase_:						str			):
			requires_backends(cls,					['note_seq']			)


