
'''simple docstring'''



import re

from filelock import FileLock


try:
						import nltk

						_lowercase    =		True
except (ImportError, ModuleNotFoundError):
						_lowercase    =		False

if NLTK_AVAILABLE:
						with FileLock(""".lock""") as lock:
												nltk.download("""punkt""", quiet=True)


def A				(__lowerCamelCase				:str		):
						re.sub("""<n>"""			,     """"""			,     __lowerCamelCase		)  # remove pegasus newline char
						assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
						return "\n".join(nltk.sent_tokenize(__lowerCamelCase		)		)


'''simple docstring'''



from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowercase    =		{"""configuration_van""": ["""VAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """VanConfig"""]}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowercase    =		[
						    """VAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """VanForImageClassification""",
						    """VanModel""",
						    """VanPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_van import (
												    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    VanForImageClassification,
												    VanModel,
												    VanPreTrainedModel,
												)

else:
						import sys

						_lowercase    =		_LazyModule(__name__, globals()["""__file__"""], _import_structure)
