



'''simple docstring'''





class __A			:



 '''simple docstring'''







 def __init__(self ,   A = "" ,   A = False       )    ->     Optional[int]:


      """simple docstring"""



      _a      =  {}

      # A node will be a leaf if the tree contains its word
      _a      =  is_leaf

      _a      =  prefix



 def 					a__  (self ,   A       )    ->     Any:


      """simple docstring"""



      _a      =  0
      for q, w in zip(self.prefix ,   A       ):
           if q != w:
                break

           x += 1

      return self.prefix[:x], self.prefix[x:], word[x:]



 def 					a__  (self ,   A       )    ->     Union[str, Any]:


      """simple docstring"""



      for word in words:
           self.insert(A       )



 def 					a__  (self ,   A       )    ->     int:


      """simple docstring"""



      if self.prefix == word:
           _a      =  True

      # Case 2: The node has no edges that have a prefix to the word
      # Solution: We create an edge from the current node to a new one
      # containing the word
      elif word[0] not in self.nodes:
           _a      =  RadixNode(prefix=A ,   is_leaf=A       )

      else:
           _a      =  self.nodes[word[0]]
           _a      =  incoming_node.match(
               A       )

           # Case 3: The node prefix is equal to the matching
           # Solution: We insert remaining word on the next node
           if remaining_prefix == "":
                self.nodes[matching_string[0]].insert(A       )

           # Case 4: The word is greater equal to the matching
           # Solution: Create a node in between both nodes, change
           # prefixes and add the new node for the remaining word
           else:
                _a      =  remaining_prefix

                _a      =  self.nodes[matching_string[0]]
                _a      =  RadixNode(A ,   A       )
                _a      =  aux_node

                if remaining_word == "":
                     _a      =  True
                else:
                     self.nodes[matching_string[0]].insert(A       )



 def 					a__  (self ,   A       )    ->     Optional[Any]:


      """simple docstring"""



      _a      =  self.nodes.get(word[0] ,   A       )
      if not incoming_node:
           return False
      else:
           _a      =  incoming_node.match(
               A       )
           # If there is remaining prefix, the word can't be on the tree
           if remaining_prefix != "":
                return False
           # This applies when the word and the prefix are equal
           elif remaining_word == "":
                return incoming_node.is_leaf
           # We have word remaining so we check the next node
           else:
                return incoming_node.find(A       )



 def 					a__  (self ,   A       )    ->     int:


      """simple docstring"""



      _a      =  self.nodes.get(word[0] ,   A       )
      if not incoming_node:
           return False
      else:
           _a      =  incoming_node.match(
               A       )
           # If there is remaining prefix, the word can't be on the tree
           if remaining_prefix != "":
                return False
           # We have word remaining so we check the next node
           elif remaining_word != "":
                return incoming_node.delete(A       )
           else:
                # If it is not a leaf, we don't have to delete
                if not incoming_node.is_leaf:
                     return False
                else:
                     # We delete the nodes if no edges go from it
                     if len(incoming_node.nodes       ) == 0:
                          del self.nodes[word[0]]
                          # We merge the current node with its only child
                          if len(self.nodes       ) == 1 and not self.is_leaf:
                               _a      =  list(self.nodes.values()       )[0]
                               _a      =  merging_node.is_leaf
                               self.prefix += merging_node.prefix
                               _a      =  merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                     elif len(incoming_node.nodes       ) > 1:
                          _a      =  False
                     # If there is 1 edge, we merge it with its child
                     else:
                          _a      =  list(incoming_node.nodes.values()       )[0]
                          _a      =  merging_node.is_leaf
                          incoming_node.prefix += merging_node.prefix
                          _a      =  merging_node.nodes

                     return True



 def 					a__  (self ,   A = 0       )    ->     int:


      """simple docstring"""



      if self.prefix != "":
           print('''-''' * height ,   self.prefix ,   '''  (leaf)''' if self.is_leaf else ''''''       )

      for value in self.nodes.values():
           value.print_tree(height + 1       )





def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  'banana bananas bandana band apple all beast'.split()
     _a      =  RadixNode()
     root.insert_many(SCREAMING_SNAKE_CASE_)

     assert all(root.find(SCREAMING_SNAKE_CASE_) for word in words)
     assert not root.find('''bandanas''')
     assert not root.find('''apps''')
     root.delete('''all''')
     assert not root.find('''all''')
     root.delete('''banana''')
     assert not root.find('''banana''')
     assert root.find('''bananas''')

     return True




def lowerCAmelCase  ():



     """simple docstring"""



     assert test_trie()




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  RadixNode()
     _a      =  'banana bananas bandanas bandana band apple all beast'.split()
     root.insert_many(SCREAMING_SNAKE_CASE_)

     print('''Words:'''  ,	SCREAMING_SNAKE_CASE_)
     print('''Tree:''')
     root.print_tree()


if __name__ == "__main__":
  main()






import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
       # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
       # setup instructions, if using on-demand hardware

       # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
       # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
       # Throw an error if user passes both BYO and on-demand cluster args
       # Otherwise, use default values
       snake_case_			  = argparse.ArgumentParser()
       parser.add_argument('''--user''', type=str, default='''ubuntu''')
       parser.add_argument('''--host''', type=str, default='''localhost''')
       parser.add_argument('''--key_path''', type=str, default=None)
       parser.add_argument('''--instance''', type=str, default='''V100:1''')
       parser.add_argument('''--provider''', type=str, default='''cheapest''')
       parser.add_argument('''--use_spot''', type=bool, default=False)
       parser.add_argument('''--example''', type=str, default='''pytorch/text-generation/run_generation.py''')
       snake_case_  ,		snake_case_			  = parser.parse_known_args()
       if args.host != "localhost":
              if args.instance != "V100:1" or args.provider != "cheapest":
                     raise ValueError('''Cannot specify both BYO and on-demand cluster args''')
              snake_case_			  = rh.cluster(
                  name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
              )
       else:
              snake_case_			  = rh.cluster(
                  name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
              )
       snake_case_			  = args.example.rsplit('''/''', 1)[0]

       # Set up remote environment
       cluster.install_packages(['''pip:./'''])  # Installs transformers from local source
       # Note transformers is copied into the home directory on the remote machine, so we can install from there
       cluster.run([F'''pip install -r transformers/examples/{example_dir}/requirements.txt'''])
       cluster.run(['''pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117'''])

       # Run example. You can bypass the CLI wrapper and paste your own code here.
       cluster.run([F'''python transformers/examples/{args.example} {' '.join(shlex.quote(arg) for arg in unknown)}'''])

       # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
       # from my_script... import train
       # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
       # launch_train_gpu = rh.function(fn=train,
       #                                system=gpu,
       #                                reqs=reqs,
       #                                name='train_bert_glue')
       #
       # We can pass in arguments just like we would to a function:
       # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
       #                  stream_logs=True)

