






# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


UpperCamelCase        =				logging.get_logger(__name__)

UpperCamelCase        =				{}
UpperCamelCase        =				{}
UpperCamelCase        =				{}




def 				A		(					lowercase__  :  type ,		lowercase__  :  Optional[str] ,		lowercase__  :  Optional[List[str]] = None ,		)		-> int:
	UpperCamelCase__ :Union[str, Any]						=      aliases if aliases is not None else []
	if format_type in _FORMAT_TYPES:
		logger.warning(
		    f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""  )
	UpperCamelCase__ :Union[str, Any]						=      formatter_cls
	for alias in set(aliases + [format_type]  ):
		if alias in _FORMAT_TYPES_ALIASES:
			logger.warning(
			    f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""  )
		UpperCamelCase__ :List[Any]						=      format_type




def 				A		(					lowercase__  :  Exception ,		lowercase__  :  Optional[str] ,		lowercase__  :  Optional[List[str]] = None  )		-> List[Any]:
	UpperCamelCase__ :Any						=      aliases if aliases is not None else []
	for alias in set(aliases + [format_type]  ):
		UpperCamelCase__ :Optional[int]						=      unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["python"])
_register_formatter(ArrowFormatter, "arrow", aliases=["pa", "pyarrow"])
_register_formatter(NumpyFormatter, "numpy", aliases=["np"])
_register_formatter(PandasFormatter, "pandas", aliases=["pd"])
_register_formatter(CustomFormatter, "custom")

if config.TORCH_AVAILABLE:
							from .torch_formatter import TorchFormatter

							_register_formatter(TorchFormatter, "torch", aliases=["pt", "pytorch"])
else:
							UpperCamelCase        =				ValueError("PyTorch needs to be installed to be able to return PyTorch tensors.")
							_register_unavailable_formatter(_torch_error, "torch", aliases=["pt", "pytorch"])

if config.TF_AVAILABLE:
							from .tf_formatter import TFFormatter

							_register_formatter(TFFormatter, "tensorflow", aliases=["tf"])
else:
							UpperCamelCase        =				ValueError("Tensorflow needs to be installed to be able to return Tensorflow tensors.")
							_register_unavailable_formatter(_tf_error, "tensorflow", aliases=["tf"])

if config.JAX_AVAILABLE:
							from .jax_formatter import JaxFormatter

							_register_formatter(JaxFormatter, "jax", aliases=[])
else:
							UpperCamelCase        =				ValueError("JAX needs to be installed to be able to return JAX arrays.")
							_register_unavailable_formatter(_jax_error, "jax", aliases=[])




def 				A		(					lowercase__  :  Optional[str]  )		-> Optional[str]:
	if format_type in _FORMAT_TYPES_ALIASES:
		return _FORMAT_TYPES_ALIASES[format_type]
	else:
		return format_type




def 				A		(					lowercase__  :  Optional[str] ,		**lowercase__  :  Optional[Any]  )		-> Formatter:
	UpperCamelCase__ :Union[str, Any]						=      get_format_type_from_alias(lowercase__  )
	if format_type in _FORMAT_TYPES:
		return _FORMAT_TYPES[format_type](**lowercase__  )
	if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
		raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
	else:
		raise ValueError(
		    f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None  )}, but got '{format_type}'"""  )







from __future__ import annotations

import os
from typing import Any

import requests

lowerCamelCase      :       Tuple    =						'''https://api.github.com'''

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

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





def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       {
         "Authorization": F"""token {auth_token}""",
         "Accept": "application/vnd.github.v3+json",
     }
     return requests.get(__snake_case       ,			headers=__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.''')






