






'''simple docstring'''







def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase   )   -> Optional[int]:
							lowerCamelCase__      :			Tuple 						= len(_lowercase   )
							print("""The following activities are selected:"""   )

							# The first activity is always selected
							lowerCamelCase__      :			Tuple 						= 0
							print(_lowercase       ,    end=""","""   )

							# Consider rest of the activities
							for j in range(_lowercase   ):
														# If this activity has start time greater than
														# or equal to the finish time of previously
														# selected activity, then select it
														if start[j] >= finish[i]:
																					print(_lowercase       ,    end=""","""   )
																					lowerCamelCase__      :			int 						= j


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			_A			:    Union[str, Any]					  =[1, 3, 0, 5, 8, 5]
			_A			:    List[str]					  =[2, 4, 6, 7, 9, 9]
			print_max_activities(start, finish)









'''simple docstring'''







_A			:    List[str]					  ='''0.21.0'''

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
			from .utils import rich

