





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
      from ..models.auto import AutoTokenizer

class SCREAMING_SNAKE_CASE_ :





     """simple docstring"""


     def 					__magic_name__ ( self	,  _lowerCAmelCase	):
          raise NotImplementedError()






     def 					__magic_name__ ( self	):
          raise NotImplementedError()

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





     """simple docstring"""


     def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase = False	,  **_lowerCAmelCase	):
          lowerCamelCase__       =       tokenizer
          lowerCamelCase__       =       skip_prompt
          lowerCamelCase__       =       decode_kwargs

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





     def 					__magic_name__ ( self	,  _lowerCAmelCase	):
          if len(value.shape	) > 1 and value.shape[0] > 1:
               raise ValueError("TextStreamer only supports batch size 1"	)
          elif len(value.shape	) > 1:
               lowerCamelCase__       =       value[0]

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

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

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

          self.on_finalized_text(_lowerCAmelCase	)





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

          lowerCamelCase__       =       True
          self.on_finalized_text(_lowerCAmelCase	,  stream_end=_lowerCAmelCase	)





     def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = False	):
          print(_lowerCAmelCase	,  flush=_lowerCAmelCase	,  end="" if not stream_end else None	)






     def 					__magic_name__ ( self	,  _lowerCAmelCase	):
          # 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 >= 0X4e00 and cp <= 0X9fff)
              or (cp >= 0X3400 and cp <= 0X4dbf)  #
              or (cp >= 0X2_0000 and cp <= 0X2_a6df)  #
              or (cp >= 0X2_a700 and cp <= 0X2_b73f)  #
              or (cp >= 0X2_b740 and cp <= 0X2_b81f)  #
              or (cp >= 0X2_b820 and cp <= 0X2_ceaf)  #
              or (cp >= 0Xf900 and cp <= 0Xfaff)
              or (cp >= 0X2_f800 and cp <= 0X2_fa1f)  #
          ):  #
               return True

          return False

class SCREAMING_SNAKE_CASE_ (					lowercase_   ):





     """simple docstring"""


     def __init__( self	,  _lowerCAmelCase	,  _lowerCAmelCase = False	,  _lowerCAmelCase = None	,  **_lowerCAmelCase	):
          super().__init__(_lowerCAmelCase	,  _lowerCAmelCase	,  **_lowerCAmelCase	)
          lowerCamelCase__       =       Queue()
          lowerCamelCase__       =       None
          lowerCamelCase__       =       timeout





     def 					__magic_name__ ( self	,  _lowerCAmelCase	,  _lowerCAmelCase = False	):
          self.text_queue.put(_lowerCAmelCase	,  timeout=self.timeout	)
          if stream_end:
               self.text_queue.put(self.stop_signal	,  timeout=self.timeout	)





     def __iter__( self	):
          return self






     def 					__magic_name__ ( self	):
          lowerCamelCase__       =       self.text_queue.get(timeout=self.timeout	)
          if value == self.stop_signal:
               raise StopIteration()
          else:
               return value








def    __UpperCamelCase      (    a,     a) ->Dict:
					print("\nThe shortest path matrix using Floyd Warshall algorithm\n")
					for i in range(a):
										for j in range(a):
															if dist[i][j] != float("inf"):
																				print(int(dist[i][j]),     end="\t")
															else:
																				print("INF",     end="\t")
										print()





def    __UpperCamelCase      (    a,     a) ->Optional[int]:
					lowerCamelCase__       =       [[float("inf") for _ in range(a)] for _ in range(a)]

					for i in range(a):
										for j in range(a):
															lowerCamelCase__       =       graph[i][j]

															# check vertex k against all other vertices (i, j)
					for k in range(a):
										# looping through rows of graph array
										for i in range(a):
															# looping through columns of graph array
															for j in range(a):
																				if (
																				    dist[i][k] != float("inf")
																				    and dist[k][j] != float("inf")
																				    and dist[i][k] + dist[k][j] < dist[i][j]
																				):
																									lowerCamelCase__       =       dist[i][k] + dist[k][j]

					_print_dist(a,     a)
					return dist, v


if __name__ == "__main__":
						A_												=     int(input("Enter number of vertices: "))
						A_												=     int(input("Enter number of edges: "))

						A_												=     [[float("inf") for i in range(v)] for j in range(v)]

						for i in range(v):
												A_												=     0.0

												# src and dst are indices that must be within the array size graph[e][v]
												# failure to follow this will result in an error
						for i in range(e):
												print("\nEdge ", i + 1)
												A_												=     int(input("Enter source:"))
												A_												=     int(input("Enter destination:"))
												A_												=     float(input("Enter weight:"))
												A_												=     weight

						floyd_warshall(graph, v)

						# Example Input
						# Enter number of vertices: 3
						# Enter number of edges: 2

						# # generated graph from vertex and edge inputs
						# [[inf, inf, inf], [inf, inf, inf], [inf, inf, inf]]
						# [[0.0, inf, inf], [inf, 0.0, inf], [inf, inf, 0.0]]

						# specify source, destination and weight for edge #1
						# Edge  1
						# Enter source:1
						# Enter destination:2
						# Enter weight:2

						# specify source, destination and weight for edge #2
						# Edge  2
						# Enter source:2
						# Enter destination:1
						# Enter weight:1

						# # Expected Output from the vertice, edge and src, dst, weight inputs!!
						# 0		INF	INF
						# INF	0	2
						# INF	1	0

