





UpperCAmelCase	:	str		     =       {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}
def      _A       (		SCREAMING_SNAKE_CASE     :   dict       ,       SCREAMING_SNAKE_CASE     :   Dict       ,       SCREAMING_SNAKE_CASE     :   Any						):





  """simple docstring"""



  a__	:					int										=set()
  # keep track of all the paths to be checked
  a__	:					Any										=[[start]]

  # return path if start is goal
  if start == goal:
    return [start]

  # keeps looping until all possible paths have been checked
  while queue:
    # pop the first path from the queue
    a__	:					int										=queue.pop(0						)
    # get the last node from the path
    a__	:					Optional[Any]										=path[-1]
    if node not in explored:
      a__	:					Optional[Any]										=graph[node]
      # go through all neighbour nodes, construct a new path and
      # push it into the queue
      for neighbour in neighbours:
        a__	:					int										=list(__snake_case						)
        new_path.append(__snake_case						)
        queue.append(__snake_case						)
        # return path if neighbour is goal
        if neighbour == goal:
          return new_path

            # mark node as explored
      explored.add(__snake_case						)

    # in case there's no path between the 2 nodes
  return []
def      _A       (		SCREAMING_SNAKE_CASE     :   dict       ,       SCREAMING_SNAKE_CASE     :   List[str]       ,       SCREAMING_SNAKE_CASE     :   Optional[Any]						):





  """simple docstring"""



  if not graph or start not in graph or target not in graph:
    return -1
  if start == target:
    return 0
  a__	:					int										=[start]
  a__	:					str										=set(__snake_case						)
  # Keep tab on distances from `start` node.
  a__	:					Any										={start: 0, target: -1}
  while queue:
    a__	:					Optional[int]										=queue.pop(0						)
    if node == target:
      a__	:					List[str]										=(
          dist[node] if dist[target] == -1 else min(dist[target]       ,       dist[node]						)
      )
    for adjacent in graph[node]:
      if adjacent not in visited:
        visited.add(__snake_case						)
        queue.append(__snake_case						)
        a__	:					List[str]										=dist[node] + 1
  return dist[target]


if __name__ == "__main__":
     print(bfs_shortest_path(demo_graph, """G""", """D"""))  # returns ['G', 'C', 'A', 'B', 'D']
     print(bfs_shortest_path_distance(demo_graph, """G""", """D"""))  # returns 4








"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin

@require_jieba
class 		a__						(      a_,			unittest.TestCase						):
   __lowerCAmelCase            =				CpmAntTokenizer
   __lowerCAmelCase            =				False
   def 			__magic_name__			(			self				):
          super().setUp()

          lowercase    :				List[str]       		=							[
              "<d>",
              "</d>",
              "<s>",
              "</s>",
              "</_>",
              "<unk>",
              "<pad>",
              "</n>",
              "我",
              "是",
              "C",
              "P",
              "M",
              "A",
              "n",
              "t",
          ]
          lowercase    :				Dict       		=							os.path.join(self.tmpdirname	,    VOCAB_FILES_NAMES["vocab_file"]				)
          with open(self.vocab_file	,    "w"	,    encoding="utf-8"				) as vocab_writer:
                 vocab_writer.write("".join([x + "\n" for x in vocab_tokens]				)				)

   @tooslow
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"				)
          lowercase    :				str       		=							"今天天气真好！"
          lowercase    :				Optional[int]       		=							["今天", "天气", "真", "好", "！"]
          lowercase    :				int       		=							tokenizer.tokenize(_a				)
          self.assertListEqual(_a	,    _a				)
          lowercase    :				Any       		=							"今天天气真好！"
          lowercase    :				int       		=							[tokenizer.bos_token] + tokens

          lowercase    :				List[str]       		=							[6, 9_802, 14_962, 2_082, 831, 244]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_a				)	,    _a				)

          lowercase    :				str       		=							tokenizer.decode(_a				)
          self.assertEqual(_a	,    _a				)


