




from typing import TypeVar

from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset


UpperCamelCase__  =		TypeVar('DatasetType', Dataset, IterableDataset)






def       snake_case      (							A		,     A		,     A    )							->							DatasetType:




	'''simple docstring'''


	if isinstance(A		,     A    ):
		return _split_by_node_map_style_dataset(A		,     rank=A		,     world_size=A    )
	else:
		return _split_by_node_iterable_dataset(A		,     rank=A		,     world_size=A    )






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


UpperCamelCase__  =		{}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__  =		['CpmTokenizer']

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase__  =		['CpmTokenizerFast']


if TYPE_CHECKING:
							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_cpm import CpmTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_cpm_fast import CpmTokenizerFast

else:
							import sys

							UpperCamelCase__  =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
