"""simple docstring"""





from __future__ import annotations

import os
from typing import Any

import requests

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

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

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


def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    dict[Any, Any]:
							_SCREAMING_SNAKE_CASE		:						int			  =    {
							    """Authorization""": F"""token {auth_token}""",
							    """Accept""": """application/vnd.github.v3+json""",
							}
							return requests.get(__SCREAMING_SNAKE_CASE     ,	headers=__SCREAMING_SNAKE_CASE  ).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.''')



"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase_     =	{'''configuration_unispeech''': ['''UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase_     =	[
			    '''UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''UniSpeechForCTC''',
			    '''UniSpeechForPreTraining''',
			    '''UniSpeechForSequenceClassification''',
			    '''UniSpeechModel''',
			    '''UniSpeechPreTrainedModel''',
			]

if TYPE_CHECKING:
			from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_unispeech import (
						    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
						    UniSpeechForCTC,
						    UniSpeechForPreTraining,
						    UniSpeechForSequenceClassification,
						    UniSpeechModel,
						    UniSpeechPreTrainedModel,
						)

else:
			import sys

			lowerCAmelCase_     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


