
"""simple docstring"""







from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
		from ..models.auto import AutoTokenizer







class 							__magic_name__     :





					def 							lowerCAmelCase      (				self   :							List[str]							,						snake_case_   :							str    ):
												raise NotImplementedError()





					def 							lowerCAmelCase      (				self   :							Optional[Any]    ):
												raise NotImplementedError()







class 							__magic_name__     (		lowercase__   ):





					def __init__(				self   :							Any							,						snake_case_   :							"AutoTokenizer"							,						snake_case_   :							bool = False							,						**snake_case_   :							Tuple    ):
												__snake_case     			=       tokenizer
												__snake_case     			=       skip_prompt
												__snake_case     			=       decode_kwargs

												# variables used in the streaming process
												__snake_case     			=       []
												__snake_case     			=       0
												__snake_case     			=       True





					def 							lowerCAmelCase      (				self   :							Dict							,						snake_case_   :							Tuple    ):
												if len(value.shape    ) > 1 and value.shape[0] > 1:
																			raise ValueError("TextStreamer only supports batch size 1"    )
												elif len(value.shape    ) > 1:
																			__snake_case     			=       value[0]

												if self.skip_prompt and self.next_tokens_are_prompt:
																			__snake_case     			=       False
																			return

												# Add the new token to the cache and decodes the entire thing.
												self.token_cache.extend(value.tolist()    )
												__snake_case     			=       self.tokenizer.decode(self.token_cache							,						**self.decode_kwargs    )

												# After the symbol for a new line, we flush the cache.
												if text.endswith("\n"    ):
																			__snake_case     			=       text[self.print_len :]
																			__snake_case     			=       []
																			__snake_case     			=       0
												# If the last token is a CJK character, we print the characters.
												elif len(snake_case_    ) > 0 and self._is_chinese_char(ord(text[-1]    )    ):
																			__snake_case     			=       text[self.print_len :]
																			self.print_len += len(snake_case_    )
												# 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:
																			__snake_case     			=       text[self.print_len : text.rfind(" "    ) + 1]
																			self.print_len += len(snake_case_    )

												self.on_finalized_text(snake_case_    )





					def 							lowerCAmelCase      (				self   :							Any    ):
												# Flush the cache, if it exists
												if len(self.token_cache    ) > 0:
																			__snake_case     			=       self.tokenizer.decode(self.token_cache							,						**self.decode_kwargs    )
																			__snake_case     			=       text[self.print_len :]
																			__snake_case     			=       []
																			__snake_case     			=       0
												else:
																			__snake_case     			=       ""

												__snake_case     			=       True
												self.on_finalized_text(snake_case_							,						stream_end=snake_case_    )





					def 							lowerCAmelCase      (				self   :							Optional[int]							,						snake_case_   :							str							,						snake_case_   :							bool = False    ):
												print(snake_case_							,						flush=snake_case_							,						end="" if not stream_end else None    )





					def 							lowerCAmelCase      (				self   :							Optional[Any]							,						snake_case_   :							List[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 >= 0x4E_00 and cp <= 0x9F_FF)
												    or (cp >= 0x34_00 and cp <= 0x4D_BF)  #
												    or (cp >= 0x2_00_00 and cp <= 0x2_A6_DF)  #
												    or (cp >= 0x2_A7_00 and cp <= 0x2_B7_3F)  #
												    or (cp >= 0x2_B7_40 and cp <= 0x2_B8_1F)  #
												    or (cp >= 0x2_B8_20 and cp <= 0x2_CE_AF)  #
												    or (cp >= 0xF9_00 and cp <= 0xFA_FF)
												    or (cp >= 0x2_F8_00 and cp <= 0x2_FA_1F)  #
												):  #
																			return True

												return False







class 							__magic_name__     (		lowercase__   ):





					def __init__(				self   :							str							,						snake_case_   :							"AutoTokenizer"							,						snake_case_   :							bool = False							,						snake_case_   :							Optional[float] = None							,						**snake_case_   :							int    ):
												super().__init__(snake_case_							,						snake_case_							,						**snake_case_    )
												__snake_case     			=       Queue()
												__snake_case     			=       None
												__snake_case     			=       timeout





					def 							lowerCAmelCase      (				self   :							List[Any]							,						snake_case_   :							str							,						snake_case_   :							bool = False    ):
												self.text_queue.put(snake_case_							,						timeout=self.timeout    )
												if stream_end:
																			self.text_queue.put(self.stop_signal							,						timeout=self.timeout    )





					def __iter__(				self   :							List[Any]    ):
												return self





					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       self.text_queue.get(timeout=self.timeout    )
												if value == self.stop_signal:
																			raise StopIteration()
												else:
																			return value


"""simple docstring"""







from __future__ import annotations

_SCREAMING_SNAKE_CASE	       =      {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}







class 							__magic_name__     :





					def __init__(				self   :							Any							,						snake_case_   :							dict[str, list[str]]							,						snake_case_   :							str    ):
												__snake_case     			=       graph
												# mapping node to its parent in resulting breadth first tree
												__snake_case     			=       {}
												__snake_case     			=       source_vertex





					def 							lowerCAmelCase      (				self   :							Union[str, Any]    ):
												__snake_case     			=       {self.source_vertex}
												__snake_case     			=       None
												__snake_case     			=       [self.source_vertex]  # first in first out queue

												while queue:
																			__snake_case     			=       queue.pop(0    )
																			for adjacent_vertex in self.graph[vertex]:
																										if adjacent_vertex not in visited:
																																	visited.add(snake_case_    )
																																	__snake_case     			=       vertex
																																	queue.append(snake_case_    )





					def 							lowerCAmelCase      (				self   :							Dict							,						snake_case_   :							str    ):
												if target_vertex == self.source_vertex:
																			return self.source_vertex

												__snake_case     			=       self.parent.get(snake_case_    )
												if target_vertex_parent is None:
																			__snake_case     			=       (
																			    F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
																			)
																			raise ValueError(snake_case_    )

												return self.shortest_path(snake_case_    ) + F'''->{target_vertex}'''


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE	       =      Graph(graph, """G""")
		g.breath_first_search()
		print(g.shortest_path("""D"""))
		print(g.shortest_path("""G"""))
		print(g.shortest_path("""Foo"""))
