


"""simple docstring"""



class _lowerCAmelCase    :







   def __init__(     self						,     UpperCamelCase__ = ""						,     UpperCamelCase__ = False						)     ->		None:

       '''simple docstring'''




       snake_case   :				dict[str, RadixNode]				 =   {}

       # A node will be a leaf if the tree contains its word
       snake_case   :				Tuple				 =   is_leaf

       snake_case   :				Any				 =   prefix







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		tuple[str, str, str]:

       '''simple docstring'''




       snake_case   :				List[str]				 =   0
       for q, w in zip(self.prefix						,     UpperCamelCase__						):
           if q != w:
               break

           x += 1

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







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		None:

       '''simple docstring'''




       for word in words:
           self.insert(UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		None:

       '''simple docstring'''




       if self.prefix == word:
           snake_case   :				List[str]				 =   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:
           snake_case   :				Dict				 =   RadixNode(prefix=UpperCamelCase__						,     is_leaf=UpperCamelCase__						)

       else:
           snake_case   :				Tuple				 =   self.nodes[word[0]]
           snake_case ,snake_case ,snake_case   :				Optional[Any]				 =   incoming_node.match(
               UpperCamelCase__						)

           # 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(UpperCamelCase__						)

           # 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:
               snake_case   :				int				 =   remaining_prefix

               snake_case   :				int				 =   self.nodes[matching_string[0]]
               snake_case   :				List[Any]				 =   RadixNode(UpperCamelCase__						,     UpperCamelCase__						)
               snake_case   :				int				 =   aux_node

               if remaining_word == "":
                   snake_case   :				Dict				 =   True
               else:
                   self.nodes[matching_string[0]].insert(UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		bool:

       '''simple docstring'''




       snake_case   :				Tuple				 =   self.nodes.get(word[0]						,     UpperCamelCase__						)
       if not incoming_node:
           return False
       else:
           snake_case ,snake_case ,snake_case   :				Union[str, Any]				 =   incoming_node.match(
               UpperCamelCase__						)
           # 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(UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		bool:

       '''simple docstring'''




       snake_case   :				Union[str, Any]				 =   self.nodes.get(word[0]						,     UpperCamelCase__						)
       if not incoming_node:
           return False
       else:
           snake_case ,snake_case ,snake_case   :				Union[str, Any]				 =   incoming_node.match(
               UpperCamelCase__						)
           # 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(UpperCamelCase__						)
           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:
                           snake_case   :				Union[str, Any]				 =   list(self.nodes.values()						)[0]
                           snake_case   :				List[str]				 =   merging_node.is_leaf
                           self.prefix += merging_node.prefix
                           snake_case   :				str				 =   merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                   elif len(incoming_node.nodes						) > 1:
                       snake_case   :				int				 =   False
                   # If there is 1 edge, we merge it with its child
                   else:
                       snake_case   :				str				 =   list(incoming_node.nodes.values()						)[0]
                       snake_case   :				List[Any]				 =   merging_node.is_leaf
                       incoming_node.prefix += merging_node.prefix
                       snake_case   :				Optional[int]				 =   merging_node.nodes

                   return True







   def 			lowerCamelCase		(     self						,     UpperCamelCase__ = 0						)     ->		None:

       '''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						(						)     ->						bool:


    """simple docstring"""





    snake_case   :				Optional[Any]				 =   "banana bananas bandana band apple all beast".split()
    snake_case   :				List[str]				 =   RadixNode()
    root.insert_many(lowercase			)

    assert all(root.find(lowercase			) 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						(						)     ->						None:


    """simple docstring"""





    assert test_trie()







def   __lowerCAmelCase						(						)     ->						None:


    """simple docstring"""





    snake_case   :				List[str]				 =   RadixNode()
    snake_case   :				Tuple				 =   "banana bananas bandanas bandana band apple all beast".split()
    root.insert_many(lowercase			)

    print("Words:"						,							lowercase			)
    print("Tree:"			)
    root.print_tree()


if __name__ == "__main__":
  main()









"""simple docstring"""



import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class _lowerCAmelCase    (				snake_case_   ,							unittest.TestCase     ):
   __UpperCAmelCase			:	List[Any]							  =  MgpstrTokenizer
   __UpperCAmelCase			:	Optional[int]							  =  False
   __UpperCAmelCase			:	Optional[int]							  =  {}
   __UpperCAmelCase			:	List[str]							  =  False







   def 			lowerCamelCase		(     self						)     ->		int:

       '''simple docstring'''




       super().setUp()

       # fmt: off
       snake_case   :				List[str]				 =   ["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
       # fmt: on
       snake_case   :				Union[str, Any]				 =   dict(zip(UpperCamelCase__						,     range(len(UpperCamelCase__						)						)						)						)

       snake_case   :				int				 =   os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES["vocab_file"]						)
       with open(self.vocab_file						,     "w"						,     encoding="utf-8"						) as fp:
           fp.write(json.dumps(UpperCamelCase__						) + "\n"						)







   def 			lowerCamelCase		(     self						,     **UpperCamelCase__						)     ->		List[str]:

       '''simple docstring'''




       return MgpstrTokenizer.from_pretrained(self.tmpdirname						,     **UpperCamelCase__						)







   def 			lowerCamelCase		(     self						,     UpperCamelCase__						)     ->		List[Any]:

       '''simple docstring'''




       snake_case   :				int				 =   "tester"
       snake_case   :				List[str]				 =   "tester"
       return input_text, output_text







   @unittest.skip("MGP-STR always lower cases letters."						)
   def 			lowerCamelCase		(     self						)     ->		str:

       '''simple docstring'''




       pass







   def 			lowerCamelCase		(     self						)     ->		Tuple:

       '''simple docstring'''




       snake_case   :				int				 =   self.get_tokenizers(do_lower_case=UpperCamelCase__						)
       for tokenizer in tokenizers:
           with self.subTest(F'{tokenizer.__class__.__name__}'						):
               snake_case   :				List[Any]				 =   "[SPECIAL_TOKEN]"

               tokenizer.add_special_tokens({"cls_token": special_token}						)
               snake_case   :				str				 =   tokenizer.encode([special_token]						,     add_special_tokens=UpperCamelCase__						)
               self.assertEqual(len(UpperCamelCase__						)						,     1						)

               snake_case   :				List[Any]				 =   tokenizer.decode(UpperCamelCase__						,     skip_special_tokens=UpperCamelCase__						)
               self.assertTrue(special_token not in decoded						)







   def 			lowerCamelCase		(     self						)     ->		List[Any]:

       '''simple docstring'''




       snake_case   :				List[str]				 =   self.get_tokenizers()
       for tokenizer in tokenizers:
           with self.subTest(F'{tokenizer.__class__.__name__}'						):
               snake_case ,snake_case   :				Union[str, Any]				 =   self.get_input_output_texts(UpperCamelCase__						)

               snake_case   :				Dict				 =   tokenizer.tokenize(UpperCamelCase__						)
               snake_case   :				Tuple				 =   tokenizer.convert_tokens_to_ids(UpperCamelCase__						)
               snake_case   :				List[Any]				 =   tokenizer.encode(UpperCamelCase__						,     add_special_tokens=UpperCamelCase__						)
               self.assertListEqual(UpperCamelCase__						,     UpperCamelCase__						)

               snake_case   :				Dict				 =   tokenizer.convert_ids_to_tokens(UpperCamelCase__						)
               self.assertNotEqual(len(UpperCamelCase__						)						,     0						)
               snake_case   :				Tuple				 =   tokenizer.decode(UpperCamelCase__						)
               self.assertIsInstance(UpperCamelCase__						,     UpperCamelCase__						)

               self.assertEqual(text_a.replace(" "						,     ""						)						,     UpperCamelCase__						)







   @unittest.skip("MGP-STR tokenizer only handles one sequence."						)
   def 			lowerCamelCase		(     self						)     ->		List[Any]:

       '''simple docstring'''




       pass







   @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"						)
   def 			lowerCamelCase		(     self						)     ->		Tuple:

       '''simple docstring'''




       pass





