
"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCamelCase__        =		{
    """configuration_ctrl""": ["""CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CTRLConfig"""],
    """tokenization_ctrl""": ["""CTRLTokenizer"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase__        =		[
							    """CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """CTRLForSequenceClassification""",
							    """CTRLLMHeadModel""",
							    """CTRLModel""",
							    """CTRLPreTrainedModel""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCamelCase__        =		[
							    """TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """TFCTRLForSequenceClassification""",
							    """TFCTRLLMHeadModel""",
							    """TFCTRLModel""",
							    """TFCTRLPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
							from .tokenization_ctrl import CTRLTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_ctrl import (
														    CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    CTRLForSequenceClassification,
														    CTRLLMHeadModel,
														    CTRLModel,
														    CTRLPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_ctrl import (
														    TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFCTRLForSequenceClassification,
														    TFCTRLLMHeadModel,
														    TFCTRLModel,
														    TFCTRLPreTrainedModel,
														)

else:
							import sys

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

"""simple docstring"""







from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase = None		):
	if version.parse(hfh.__version__		).release < version.parse('0.11.0'		).release:
		# old versions of hfh don't url-encode the file path
		__lowerCAmelCase      :						List[str]						      =				quote(_UpperCamelCase		)
	return hfh.hf_hub_url(_UpperCamelCase	,  _UpperCamelCase	,  repo_type='dataset'	,  revision=_UpperCamelCase		)