



'''simple docstring'''

from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
							from ..models.auto import AutoTokenizer

class      __magic_name__						:







							def 							__lowercase      (							self :	Tuple     ,_UpperCAmelCase :	Dict		):
									raise NotImplementedError()







							def 							__lowercase      (							self :	Optional[int]		):
									raise NotImplementedError()

class      __magic_name__						(   _UpperCamelCase       ):







							def __init__(							self :	Optional[int]     ,_UpperCAmelCase :	"AutoTokenizer"     ,_UpperCAmelCase :	bool = False     ,**_UpperCAmelCase :	int		):
									_a					:				int				=							tokenizer
									_a					:				Tuple				=							skip_prompt
									_a					:				Optional[int]				=							decode_kwargs

									# variables used in the streaming process
									_a					:				Union[str, Any]				=							[]
									_a					:				Tuple				=							0
									_a					:				Union[str, Any]				=							True







							def 							__lowercase      (							self :	Dict     ,_UpperCAmelCase :	Any		):
									if len(value.shape		) > 1 and value.shape[0] > 1:
											raise ValueError('TextStreamer only supports batch size 1'		)
									elif len(value.shape		) > 1:
											_a					:				int				=							value[0]

									if self.skip_prompt and self.next_tokens_are_prompt:
											_a					:				Tuple				=							False
											return

									# Add the new token to the cache and decodes the entire thing.
									self.token_cache.extend(value.tolist()		)
									_a					:				List[Any]				=							self.tokenizer.decode(self.token_cache     ,**self.decode_kwargs		)

									# After the symbol for a new line, we flush the cache.
									if text.endswith('\n'		):
											_a					:				Union[str, Any]				=							text[self.print_len :]
											_a					:				List[Any]				=							[]
											_a					:				int				=							0
									# If the last token is a CJK character, we print the characters.
									elif len(_UpperCAmelCase		) > 0 and self._is_chinese_char(ord(text[-1]		)		):
											_a					:				Dict				=							text[self.print_len :]
											self.print_len += len(_UpperCAmelCase		)
									# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
									# which may change with the subsequent token -- there are probably smarter ways to do this!)
									else:
											_a					:				List[Any]				=							text[self.print_len : text.rfind(' '		) + 1]
											self.print_len += len(_UpperCAmelCase		)

									self.on_finalized_text(_UpperCAmelCase		)







							def 							__lowercase      (							self :	Dict		):
									# Flush the cache, if it exists
									if len(self.token_cache		) > 0:
											_a					:				int				=							self.tokenizer.decode(self.token_cache     ,**self.decode_kwargs		)
											_a					:				str				=							text[self.print_len :]
											_a					:				Dict				=							[]
											_a					:				List[str]				=							0
									else:
											_a					:				Optional[int]				=							''

									_a					:				List[str]				=							True
									self.on_finalized_text(_UpperCAmelCase     ,stream_end=_UpperCAmelCase		)







							def 							__lowercase      (							self :	List[str]     ,_UpperCAmelCase :	str     ,_UpperCAmelCase :	bool = False		):
									print(_UpperCAmelCase     ,flush=_UpperCAmelCase     ,end='' if not stream_end else None		)







							def 							__lowercase      (							self :	int     ,_UpperCAmelCase :	Any		):
									# This defines a "chinese character" as anything in the CJK Unicode block:
									#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
									#
									# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
									# despite its name. The modern Korean Hangul alphabet is a different block,
									# as is Japanese Hiragana and Katakana. Those alphabets are used to write
									# space-separated words, so they are not treated specially and handled
									# like the all of the other languages.
									if (
									    (cp >= 0X4_E00 and cp <= 0X9_FFF)
									    or (cp >= 0X3_400 and cp <= 0X4_DBF)  #
									    or (cp >= 0X20_000 and cp <= 0X2A_6DF)  #
									    or (cp >= 0X2A_700 and cp <= 0X2B_73F)  #
									    or (cp >= 0X2B_740 and cp <= 0X2B_81F)  #
									    or (cp >= 0X2B_820 and cp <= 0X2C_EAF)  #
									    or (cp >= 0XF_900 and cp <= 0XF_AFF)
									    or (cp >= 0X2F_800 and cp <= 0X2F_A1F)  #
									):  #
											return True

									return False

class      __magic_name__						(   _UpperCamelCase       ):







							def __init__(							self :	Any     ,_UpperCAmelCase :	"AutoTokenizer"     ,_UpperCAmelCase :	bool = False     ,_UpperCAmelCase :	Optional[float] = None     ,**_UpperCAmelCase :	Tuple		):
									super().__init__(_UpperCAmelCase     ,_UpperCAmelCase     ,**_UpperCAmelCase		)
									_a					:				Dict				=							Queue()
									_a					:				Optional[Any]				=							None
									_a					:				Optional[int]				=							timeout







							def 							__lowercase      (							self :	Dict     ,_UpperCAmelCase :	str     ,_UpperCAmelCase :	bool = False		):
									self.text_queue.put(_UpperCAmelCase     ,timeout=self.timeout		)
									if stream_end:
											self.text_queue.put(self.stop_signal     ,timeout=self.timeout		)







							def __iter__(							self :	Optional[int]		):
									return self







							def 							__lowercase      (							self :	List[Any]		):
									_a					:				Union[str, Any]				=							self.text_queue.get(timeout=self.timeout		)
									if value == self.stop_signal:
											raise StopIteration()
									else:
											return value









'''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					(				lowerCAmelCase_  )      ->				dict[Any, Any]:
		_a					:				Union[str, Any]				=							{
		    'Authorization': f"""token {auth_token}""",
		    'Accept': 'application/vnd.github.v3+json',
		}
		return requests.get(lowerCAmelCase_						,      headers=lowerCAmelCase_  ).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.''')




