

from __future__ import annotations

import os
from typing import Any

import requests

a_    		=      'https://api.github.com'

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
a_    		=      BASE_URL + '/user'

# https://github.com/settings/tokens
a_    		=      os.environ.get("USER_TOKEN", "")


def        __lowerCAmelCase    (       _UpperCamelCase		:  Tuple	)		->							dict[Any, Any]:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			{
     '''Authorization''': f"""token {auth_token}""",
     '''Accept''': '''application/vnd.github.v3+json''',
 }
 return requests.get(_UpperCamelCase		,							headers=_UpperCamelCase	).json()


if __name__ == "__main__":  # pragma: no cover
      if USER_TOKEN:
            for key, value in fetch_github_info(USER_TOKEN).items():
                  print(F"""{key}: {value}""")
      else:
            raise ValueError("\'USER_TOKEN\' field cannot be empty.")




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import (
          ImageTextPipelineOutput,
          UniDiffuserPipeline,
      )
else:
      from .modeling_text_decoder import UniDiffuserTextDecoder
      from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
      from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline

