
from typing import TYPE_CHECKING

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


_A  =	{"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A  =	[
			    "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "SwinForImageClassification",
			    "SwinForMaskedImageModeling",
			    "SwinModel",
			    "SwinPreTrainedModel",
			    "SwinBackbone",
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A  =	[
			    "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "TFSwinForImageClassification",
			    "TFSwinForMaskedImageModeling",
			    "TFSwinModel",
			    "TFSwinPreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_swin import (
						    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    SwinBackbone,
						    SwinForImageClassification,
						    SwinForMaskedImageModeling,
						    SwinModel,
						    SwinPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_swin import (
						    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFSwinForImageClassification,
						    TFSwinForMaskedImageModeling,
						    TFSwinModel,
						    TFSwinPreTrainedModel,
						)

else:
			import sys

			_A  =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version






def   lowerCamelCase__							(							__lowerCAmelCase    :    str       ,				__lowerCAmelCase    :    str       ,				__lowerCAmelCase    :    Optional[str] = None							):




			"""simple docstring"""


			if version.parse(hfh.__version__							).release < version.parse("0.11.0"							).release:
						# old versions of hfh don't url-encode the file path
						lowerCAmelCase_         =      quote(__lowerCAmelCase							)
			return hfh.hf_hub_url(__lowerCAmelCase       ,				__lowerCAmelCase       ,				repo_type="dataset"       ,				revision=__lowerCAmelCase							)



