


'''simple docstring'''

import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info






def __UpperCamelCase (      __lowerCamelCase		:			List[str]					)   ->  List[Any]:







     '''simple docstring'''






     class     __SCREAMING_SNAKE_CASE       :






          def __init__(      self  ,				__UpperCamelCase		)							->     None:
               assert isinstance(__UpperCamelCase  ,				(bytes, str)		)
               _a            =		content






          def 			a_       (      self		)							->     Any:
               return json.loads(self.content		)

     def mock_response(*__lowerCamelCase		:			List[str]   ,	**__lowerCamelCase		:			List[Any]					):
          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(__lowerCamelCase   ,	"get"   ,	__lowerCamelCase					)
     _a            =		fetch_github_info("token"					)
     assert result["login"] == "test"
     assert result["id"] == 1





'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase__					  =		{
    "configuration_swin2sr": ["SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swin2SRConfig"],
}


try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		[
       "SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST",
       "Swin2SRForImageSuperResolution",
       "Swin2SRModel",
       "Swin2SRPreTrainedModel",
   ]


try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__					  =		["Swin2SRImageProcessor"]


if TYPE_CHECKING:
   from .configuration_swinasr import SWIN2SR_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinaSRConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_swinasr import (
          SWIN2SR_PRETRAINED_MODEL_ARCHIVE_LIST,
          SwinaSRForImageSuperResolution,
          SwinaSRModel,
          SwinaSRPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_swinasr import SwinaSRImageProcessor


else:
   import sys

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

