


'''simple docstring'''



import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info




def       _a      (		_lowercase   :      Union[str, Any]    ):





     '''simple docstring'''






     class       a							:


          """simple docstring"""






          def __init__(							self	:						Optional[Any]				,					snake_case	:						int     )		->				Dict:
               assert isinstance(__lowercase				,					(bytes, str)     )
               __UpperCAmelCase      :					Optional[Any]    				=     content






          def 					lowerCamelCase__					(							self	:						Tuple     )		->				Tuple:
               return json.loads(self.content     )

     def mock_response(*_lowercase   :      List[Any]     ,   **_lowercase   :      Tuple    ):
          assert args[0] == AUTHENTICATED_USER_ENDPOINT
          assert "Authorization" in kwargs["headers"]
          assert kwargs["headers"]["Authorization"].startswith('''token '''    )
          assert "Accept" in kwargs["headers"]
          return FakeResponse(b'''{\"login\":\"test\",\"id\":1}'''    )

     monkeypatch.setattr(_lowercase     ,   '''get'''     ,   _lowercase    )
     __UpperCAmelCase      :					List[Any]    				=     fetch_github_info('''token'''    )
     assert result["login"] == "test"
     assert result["id"] == 1






from typing import TYPE_CHECKING

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


UpperCamelCase__ :			Union[str, Any]       	=			{
    """configuration_mobilevitv2""": [
        """MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileViTV2Config""",
        """MobileViTV2OnnxConfig""",
    ],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__ :			int       	=			[
				    """MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """MobileViTV2ForImageClassification""",
				    """MobileViTV2ForSemanticSegmentation""",
				    """MobileViTV2Model""",
				    """MobileViTV2PreTrainedModel""",
				]

if TYPE_CHECKING:
				from .configuration_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    MobileViTVaConfig,
				    MobileViTVaOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_mobilevitva import (
								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MobileViTVaForImageClassification,
								    MobileViTVaForSemanticSegmentation,
								    MobileViTVaModel,
								    MobileViTVaPreTrainedModel,
								)

else:
				import sys

				UpperCamelCase__ :			List[Any]       	=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


