


"""simple docstring"""



import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError

from transformers import (
    AlbertTokenizer,
    AutoTokenizer,
    BertTokenizer,
    BertTokenizerFast,
    GPTaTokenizerFast,
    is_tokenizers_available,
)
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_tokenizers
from transformers.tokenization_utils import Trie


sys.path.append(str(Path(__file__).parent.parent / """utils"""))

from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
  from test_module.custom_tokenization_fast import CustomTokenizerFast







class _lowerCAmelCase				(      unittest.TestCase	):







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

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    mock.Mock()
       snake_case    :      Any      					=    500
       snake_case    :      Optional[Any]      					=    {}
       snake_case    :      int      					=    HTTPError
       snake_case    :      Optional[int]      					=    {}

       # Download this model to make sure it's in the cache.
       snake_case    :      List[str]      					=    BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"						)

       # Under the mock environment we get a 500 error when trying to reach the tokenizer.
       with mock.patch("requests.Session.request"						,	return_value=snake_case__						) as mock_head:
           snake_case    :      Any      					=    BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert"						)
           # This check we did call the fake head request
           mock_head.assert_called()







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

       '''simple docstring'''




       snake_case    :      Tuple      					=    mock.Mock()
       snake_case    :      int      					=    500
       snake_case    :      Dict      					=    {}
       snake_case    :      List[Any]      					=    HTTPError
       snake_case    :      Any      					=    {}

       # Download this model to make sure it's in the cache.
       snake_case    :      Optional[Any]      					=    GPTaTokenizerFast.from_pretrained("gpt2"						)

       # Under the mock environment we get a 500 error when trying to reach the tokenizer.
       with mock.patch("requests.Session.request"						,	return_value=snake_case__						) as mock_head:
           snake_case    :      Any      					=    GPTaTokenizerFast.from_pretrained("gpt2"						)
           # This check we did call the fake head request
           mock_head.assert_called()







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

       '''simple docstring'''




       try:
           snake_case    :      Optional[int]      					=    tempfile.mktemp()
           with open(snake_case__						,	"wb"						) as f:
               http_get("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"						,	snake_case__						)

           snake_case    :      Union[str, Any]      					=    AlbertTokenizer.from_pretrained(snake_case__						)
       finally:
           os.remove(snake_case__						)

       # Supporting this legacy load introduced a weird bug where the tokenizer would load local files if they are in
       # the current folder and have the right name.
       if os.path.isfile("tokenizer.json"						):
           # We skip the test if the user has a `tokenizer.json` in this folder to avoid deleting it.
           return
       try:
           with open("tokenizer.json"						,	"wb"						) as f:
               http_get("https://huggingface.co/hf-internal-testing/tiny-random-bert/blob/main/tokenizer.json"						,	snake_case__						)
           snake_case    :      int      					=    AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gpt2"						)
           # The tiny random BERT has a vocab size of 1024, tiny gpt2 as a vocab size of 1000
           self.assertEqual(tokenizer.vocab_size						,	1000						)
           # Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

       finally:
           os.remove("tokenizer.json"						)







   def  lowerCamelCase		(	self						)	->		Optional[int]:

       '''simple docstring'''




       snake_case    :      Tuple      					=    AlbertTokenizer.from_pretrained("https://huggingface.co/albert-base-v1/resolve/main/spiece.model"						)







@is_staging_test
class _lowerCAmelCase				(      unittest.TestCase	):
   __UpperCAmelCase :       Any							  =  ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]







   @classmethod
   def  lowerCamelCase		(	cls						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      List[str]      					=    TOKEN
       HfFolder.save_token(snake_case__						)







   @classmethod
   def  lowerCamelCase		(	cls						)	->		Tuple:

       '''simple docstring'''




       try:
           delete_repo(token=cls._token						,	repo_id="test-tokenizer"						)
       except HTTPError:
           pass

       try:
           delete_repo(token=cls._token						,	repo_id="valid_org/test-tokenizer-org"						)
       except HTTPError:
           pass

       try:
           delete_repo(token=cls._token						,	repo_id="test-dynamic-tokenizer"						)
       except HTTPError:
           pass







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

       '''simple docstring'''




       with tempfile.TemporaryDirectory() as tmp_dir:
           snake_case    :      Optional[Any]      					=    os.path.join(snake_case__						,	"vocab.txt"						)
           with open(snake_case__						,	"w"						,	encoding="utf-8"						) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]						)						)
           snake_case    :      Optional[Any]      					=    BertTokenizer(snake_case__						)

       tokenizer.push_to_hub("test-tokenizer"						,	use_auth_token=self._token						)
       snake_case    :      List[Any]      					=    BertTokenizer.from_pretrained(F'{USER}/test-tokenizer'						)
       self.assertDictEqual(new_tokenizer.vocab						,	tokenizer.vocab						)

       # Reset repo
       delete_repo(token=self._token						,	repo_id="test-tokenizer"						)

       # Push to hub via save_pretrained
       with tempfile.TemporaryDirectory() as tmp_dir:
           tokenizer.save_pretrained(snake_case__						,	repo_id="test-tokenizer"						,	push_to_hub=snake_case__						,	use_auth_token=self._token						)

       snake_case    :      Any      					=    BertTokenizer.from_pretrained(F'{USER}/test-tokenizer'						)
       self.assertDictEqual(new_tokenizer.vocab						,	tokenizer.vocab						)







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       with tempfile.TemporaryDirectory() as tmp_dir:
           snake_case    :      str      					=    os.path.join(snake_case__						,	"vocab.txt"						)
           with open(snake_case__						,	"w"						,	encoding="utf-8"						) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]						)						)
           snake_case    :      Tuple      					=    BertTokenizer(snake_case__						)

       tokenizer.push_to_hub("valid_org/test-tokenizer-org"						,	use_auth_token=self._token						)
       snake_case    :      Any      					=    BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"						)
       self.assertDictEqual(new_tokenizer.vocab						,	tokenizer.vocab						)

       # Reset repo
       delete_repo(token=self._token						,	repo_id="valid_org/test-tokenizer-org"						)

       # Push to hub via save_pretrained
       with tempfile.TemporaryDirectory() as tmp_dir:
           tokenizer.save_pretrained(
               snake_case__						,	repo_id="valid_org/test-tokenizer-org"						,	push_to_hub=snake_case__						,	use_auth_token=self._token						)

       snake_case    :      Union[str, Any]      					=    BertTokenizer.from_pretrained("valid_org/test-tokenizer-org"						)
       self.assertDictEqual(new_tokenizer.vocab						,	tokenizer.vocab						)







   @require_tokenizers
   def  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       CustomTokenizer.register_for_auto_class()
       with tempfile.TemporaryDirectory() as tmp_dir:
           snake_case    :      List[str]      					=    os.path.join(snake_case__						,	"vocab.txt"						)
           with open(snake_case__						,	"w"						,	encoding="utf-8"						) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]						)						)
           snake_case    :      Tuple      					=    CustomTokenizer(snake_case__						)

       # No fast custom tokenizer
       tokenizer.push_to_hub("test-dynamic-tokenizer"						,	use_auth_token=self._token						)

       snake_case    :      Optional[Any]      					=    AutoTokenizer.from_pretrained(F'{USER}/test-dynamic-tokenizer'						,	trust_remote_code=snake_case__						)
       # Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
       self.assertEqual(tokenizer.__class__.__name__						,	"CustomTokenizer"						)

       # Fast and slow custom tokenizer
       CustomTokenizerFast.register_for_auto_class()
       with tempfile.TemporaryDirectory() as tmp_dir:
           snake_case    :      List[Any]      					=    os.path.join(snake_case__						,	"vocab.txt"						)
           with open(snake_case__						,	"w"						,	encoding="utf-8"						) as vocab_writer:
               vocab_writer.write("".join([x + "\n" for x in self.vocab_tokens]						)						)

           snake_case    :      str      					=    BertTokenizerFast.from_pretrained(snake_case__						)
           bert_tokenizer.save_pretrained(snake_case__						)
           snake_case    :      Optional[int]      					=    CustomTokenizerFast.from_pretrained(snake_case__						)

       tokenizer.push_to_hub("test-dynamic-tokenizer"						,	use_auth_token=self._token						)

       snake_case    :      Dict      					=    AutoTokenizer.from_pretrained(F'{USER}/test-dynamic-tokenizer'						,	trust_remote_code=snake_case__						)
       # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
       self.assertEqual(tokenizer.__class__.__name__						,	"CustomTokenizerFast"						)
       snake_case    :      Union[str, Any]      					=    AutoTokenizer.from_pretrained(
           F'{USER}/test-dynamic-tokenizer'						,	use_fast=snake_case__						,	trust_remote_code=snake_case__						)
       # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
       self.assertEqual(tokenizer.__class__.__name__						,	"CustomTokenizer"						)







class _lowerCAmelCase				(      unittest.TestCase	):







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    Trie()
       trie.add("Hello 友達"						)
       self.assertEqual(trie.data						,	{"H": {"e": {"l": {"l": {"o": {" ": {"友": {"達": {"": 1}}}}}}}}}						)
       trie.add("Hello"						)
       trie.data
       self.assertEqual(trie.data						,	{"H": {"e": {"l": {"l": {"o": {"": 1, " ": {"友": {"達": {"": 1}}}}}}}}}						)







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

       '''simple docstring'''




       snake_case    :      int      					=    Trie()
       self.assertEqual(trie.split("[CLS] This is a extra_id_100"						)						,	["[CLS] This is a extra_id_100"]						)
       trie.add("[CLS]"						)
       trie.add("extra_id_1"						)
       trie.add("extra_id_100"						)
       self.assertEqual(trie.split("[CLS] This is a extra_id_100"						)						,	["[CLS]", " This is a ", "extra_id_100"]						)







   def  lowerCamelCase		(	self						)	->		int:

       '''simple docstring'''




       snake_case    :      str      					=    Trie()
       trie.add("A"						)
       self.assertEqual(trie.split("ABC"						)						,	["A", "BC"]						)
       self.assertEqual(trie.split("BCA"						)						,	["BC", "A"]						)







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

       '''simple docstring'''




       snake_case    :      List[str]      					=    Trie()
       trie.add("TOKEN]"						)
       trie.add("[SPECIAL_TOKEN]"						)
       self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"						)						,	["This is something ", "[SPECIAL_TOKEN]"]						)







   def  lowerCamelCase		(	self						)	->		Any:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    Trie()
       trie.add("A"						)
       trie.add("P"						)
       trie.add("[SPECIAL_TOKEN]"						)
       self.assertEqual(trie.split("This is something [SPECIAL_TOKEN]"						)						,	["This is something ", "[SPECIAL_TOKEN]"]						)







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

       '''simple docstring'''




       snake_case    :      Dict      					=    Trie()
       trie.add("AB"						)
       trie.add("B"						)
       trie.add("C"						)
       self.assertEqual(trie.split("ABC"						)						,	["AB", "C"]						)







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Tuple      					=    Trie()
       trie.add("ABC"						)
       trie.add("B"						)
       trie.add("CD"						)
       self.assertEqual(trie.split("ABCD"						)						,	["ABC", "D"]						)







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

       '''simple docstring'''




       snake_case    :      Optional[int]      					=    Trie()
       snake_case    :      Optional[int]      					=    trie.cut_text("ABC"						,	[0, 0, 2, 1, 2, 3]						)
       self.assertEqual(snake_case__						,	["AB", "C"]						)









"""simple docstring"""







class       SCREAMING_SNAKE_CASE__				:
       """simple docstring"""


       def __init__(						self		,     snake_case__ = ""		,     snake_case__ = False						):






         """simple docstring"""





         lowerCAmelCase     :     dict[str, RadixNode]								=							{}

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

         lowerCAmelCase     :     str								=							prefix

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     Dict								=							0
         for q, w in zip(self.prefix		,     snake_case__						):
           if q != w:
             break

           x += 1

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

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         for word in words:
           self.insert(snake_case__						)

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         if self.prefix == word:
           lowerCAmelCase     :     Union[str, Any]								=							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:
           lowerCAmelCase     :     Optional[Any]								=							RadixNode(prefix=snake_case__		,     is_leaf=snake_case__						)

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

           # 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(snake_case__						)

           # 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:
             lowerCAmelCase     :     Optional[Any]								=							remaining_prefix

             lowerCAmelCase     :     int								=							self.nodes[matching_string[0]]
             lowerCAmelCase     :     List[Any]								=							RadixNode(snake_case__		,     snake_case__						)
             lowerCAmelCase     :     Optional[int]								=							aux_node

             if remaining_word == "":
               lowerCAmelCase     :     Optional[int]								=							True
             else:
               self.nodes[matching_string[0]].insert(snake_case__						)

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





         lowerCAmelCase     :     str								=							self.nodes.get(word[0]		,     snake_case__						)
         if not incoming_node:
           return False
         else:
           lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase     :     int								=							incoming_node.match(
               snake_case__						)
           # 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(snake_case__						)

       def        lowercase__							(						self		,     snake_case__						):






         """simple docstring"""





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

               return True







       def        lowercase__							(						self		,     snake_case__ = 0						):






         """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 					a__			(				):


  '''simple docstring'''







  lowerCAmelCase     :     Union[str, Any]								=							"banana bananas bandana band apple all beast".split()
  lowerCAmelCase     :     List[str]								=							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 					a__			(				):


  '''simple docstring'''







  assert test_trie()
def 					a__			(				):


  '''simple docstring'''







  lowerCAmelCase     :     Dict								=							RadixNode()
  lowerCAmelCase     :     Optional[Any]								=							"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()





