





'''simple docstring'''




import os
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
from datasets import Dataset

from transformers.models.realm.configuration_realm import RealmConfig
from transformers.models.realm.retrieval_realm import _REALM_BLOCK_RECORDS_FILENAME, RealmRetriever
from transformers.models.realm.tokenization_realm import VOCAB_FILES_NAMES, RealmTokenizer


class 			SCREAMING_SNAKE_CASE   (a__							):


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			List[str]								=	tempfile.mkdtemp()
          __A						:			Tuple								=	5

          # Realm tok
          __A						:			Union[str, Any]								=	[
              '[UNK]',
              '[CLS]',
              '[SEP]',
              '[PAD]',
              '[MASK]',
              'test',
              'question',
              'this',
              'is',
              'the',
              'first',
              'second',
              'third',
              'fourth',
              'fifth',
              'record',
              'want',
              '##want',
              '##ed',
              'wa',
              'un',
              'runn',
              '##ing',
              ',',
              'low',
              'lowest',
          ]
          __A						:			Optional[Any]								=	os.path.join(self.tmpdirname						,     'realm_tokenizer')
          os.makedirs(_UpperCAmelCase						,     exist_ok=_UpperCAmelCase)
          __A						:			Dict								=	os.path.join(_UpperCAmelCase						,     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]))

          __A						:			Dict								=	os.path.join(self.tmpdirname						,     'realm_block_records')
          os.makedirs(_UpperCAmelCase						,     exist_ok=_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname						,     'realm_tokenizer'))


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          shutil.rmtree(self.tmpdirname)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Tuple								=	RealmConfig(num_block_records=self.num_block_records)
          return config


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Any								=	Dataset.from_dict(
              {
                  'id': ['0', '1'],
                  'question': ['foo', 'bar'],
                  'answers': [['Foo', 'Bar'], ['Bar']],
              })
          return dataset


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Optional[int]								=	np.array(
              [
                  B'This is the first record',
                  B'This is the second record',
                  B'This is the third record',
                  B'This is the fourth record',
                  B'This is the fifth record',
                  B'This is a longer longer longer record',
              ]						,     dtype=_UpperCAmelCase						,     )
          return block_records


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			List[Any]								=	RealmRetriever(
              block_records=self.get_dummy_block_records()						,     tokenizer=self.get_tokenizer()						,     )
          return retriever


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			List[Any]								=	self.get_config()
          __A						:			Tuple								=	self.get_dummy_retriever()
          __A						:			Union[str, Any]								=	retriever.tokenizer

          __A						:			int								=	np.array([0, 3]						,     dtype='long')
          __A						:			Union[str, Any]								=	tokenizer(['Test question']).input_ids
          __A						:			List[Any]								=	tokenizer(
              ['the fourth']						,     add_special_tokens=_UpperCAmelCase						,     return_token_type_ids=_UpperCAmelCase						,     return_attention_mask=_UpperCAmelCase						,     ).input_ids
          __A						:			int								=	config.reader_seq_len

          __A			,__A			,__A			,__A						:			Any								=	retriever(
              _UpperCAmelCase						,     _UpperCAmelCase						,     answer_ids=_UpperCAmelCase						,     max_length=_UpperCAmelCase						,     return_tensors='np')

          self.assertEqual(len(_UpperCAmelCase)						,     2)
          self.assertEqual(len(_UpperCAmelCase)						,     2)
          self.assertEqual(len(_UpperCAmelCase)						,     2)
          self.assertEqual(concat_inputs.input_ids.shape						,     (2, 10))
          self.assertEqual(concat_inputs.attention_mask.shape						,     (2, 10))
          self.assertEqual(concat_inputs.token_type_ids.shape						,     (2, 10))
          self.assertEqual(concat_inputs.special_tokens_mask.shape						,     (2, 10))
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[0])						,     ['[CLS]', 'test', 'question', '[SEP]', 'this', 'is', 'the', 'first', 'record', '[SEP]']						,     )
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[1])						,     ['[CLS]', 'test', 'question', '[SEP]', 'this', 'is', 'the', 'fourth', 'record', '[SEP]']						,     )


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Dict								=	self.get_config()
          __A						:			str								=	self.get_dummy_retriever()
          __A						:			int								=	retriever.tokenizer

          __A						:			Any								=	np.array([0, 3, 5]						,     dtype='long')
          __A						:			Tuple								=	tokenizer(['Test question']).input_ids
          __A						:			Dict								=	tokenizer(
              ['the fourth', 'longer longer']						,     add_special_tokens=_UpperCAmelCase						,     return_token_type_ids=_UpperCAmelCase						,     return_attention_mask=_UpperCAmelCase						,     ).input_ids
          __A						:			int								=	config.reader_seq_len

          __A			,__A			,__A			,__A						:			Any								=	retriever(
              _UpperCAmelCase						,     _UpperCAmelCase						,     answer_ids=_UpperCAmelCase						,     max_length=_UpperCAmelCase						,     return_tensors='np')

          self.assertEqual([False, True, True]						,     _UpperCAmelCase)
          self.assertEqual([[-1, -1, -1], [6, -1, -1], [6, 7, 8]]						,     _UpperCAmelCase)
          self.assertEqual([[-1, -1, -1], [7, -1, -1], [7, 8, 9]]						,     _UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			str								=	self.get_dummy_retriever()
          retriever.save_pretrained(os.path.join(self.tmpdirname						,     'realm_block_records'))

          # Test local path
          __A						:			Union[str, Any]								=	retriever.from_pretrained(os.path.join(self.tmpdirname						,     'realm_block_records'))
          self.assertEqual(retriever.block_records[0]						,     B'This is the first record')

          # Test mocked remote path
          with patch('transformers.models.realm.retrieval_realm.hf_hub_download') as mock_hf_hub_download:
               __A						:			List[str]								=	os.path.join(
                   os.path.join(self.tmpdirname						,     'realm_block_records')						,     _REALM_BLOCK_RECORDS_FILENAME)
               __A						:			Dict								=	RealmRetriever.from_pretrained('google/realm-cc-news-pretrained-openqa')

          self.assertEqual(retriever.block_records[0]						,     B'This is the first record')






'''simple docstring'''




from collections.abc import Iterable
from typing import Any


class 			SCREAMING_SNAKE_CASE   :


     def __init__(						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          __A						:			str								=	value
          __A						:			Node | None								=	None  # Added in order to delete a node easier
          __A						:			Node | None								=	None
          __A						:			Node | None								=	None


     def __repr__(						self):

          '''simple docstring'''






          from pprint import pformat

          if self.left is None and self.right is None:
               return str(self.value)
          return pformat({F'{self.value}': (self.left, self.right)}						,     indent=1)




class 			SCREAMING_SNAKE_CASE   :


     def __init__(						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          __A						:			int								=	root


     def __str__(						self):

          '''simple docstring'''






          return str(self.root)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          if new_children is not None:  # reset its kids
               __A						:			Optional[int]								=	node.parent
          if node.parent is not None:  # reset its parent
               if self.is_right(_UpperCAmelCase):  # If it is the right children
                    __A						:			int								=	new_children
               else:
                    __A						:			Union[str, Any]								=	new_children
          else:
               __A						:			Tuple								=	new_children


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          if node.parent and node.parent.right:
               return node == node.parent.right
          return False


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          return self.root is None


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			Dict								=	Node(_UpperCAmelCase)  # create a new Node
          if self.empty():  # if Tree is empty
               __A						:			Union[str, Any]								=	new_node  # set its root
          else:  # Tree is not empty
               __A						:			Dict								=	self.root  # from root
               if parent_node is None:
                    return
               while True:  # While we don't get to a leaf
                    if value < parent_node.value:  # We go left
                         if parent_node.left is None:
                              __A						:			Tuple								=	new_node  # We insert the new node in a leaf
                              break
                         else:
                              __A						:			str								=	parent_node.left
                    else:
                         if parent_node.right is None:
                              __A						:			List[str]								=	new_node
                              break
                         else:
                              __A						:			int								=	parent_node.right
               __A						:			int								=	parent_node


     def 							SCREAMING_SNAKE_CASE  (						self						,     *_UpperCAmelCase):

          '''simple docstring'''






          for value in values:
               self.__insert(_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          if self.empty():
               raise IndexError('Warning: Tree is empty! please use another.')
          else:
               __A						:			Any								=	self.root
               # use lazy evaluation here to avoid NoneType Attribute error
               while node is not None and node.value is not value:
                    __A						:			List[Any]								=	node.left if value < node.value else node.right
               return node


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          if node is None:
               if self.root is None:
                    return None
               __A						:			str								=	self.root

          if not self.empty():
               while node.right is not None:
                    __A						:			Dict								=	node.right
          return node


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase = None):

          '''simple docstring'''






          if node is None:
               __A						:			Optional[Any]								=	self.root
          if self.root is None:
               return None
          if not self.empty():
               __A						:			Optional[int]								=	self.root
               while node.left is not None:
                    __A						:			Tuple								=	node.left
          return node


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			Optional[Any]								=	self.search(_UpperCAmelCase)  # Look for the node with that label
          if node is not None:
               if node.left is None and node.right is None:  # If it has no children
                    self.__reassign_nodes(_UpperCAmelCase						,     _UpperCAmelCase)
               elif node.left is None:  # Has only right children
                    self.__reassign_nodes(_UpperCAmelCase						,     node.right)
               elif node.right is None:  # Has only left children
                    self.__reassign_nodes(_UpperCAmelCase						,     node.left)
               else:
                    __A						:			str								=	self.get_max(
                        node.left)  # Gets the max value of the left branch
                    self.remove(tmp_node.value)  # type: ignore
                    __A						:			List[Any]								=	(
                        tmp_node.value  # type: ignore
                    )  # Assigns the value to the node to delete and keep tree structure


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          if node is not None:
               yield node  # Preorder Traversal
               yield from self.preorder_traverse(node.left)
               yield from self.preorder_traverse(node.right)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase=None):

          '''simple docstring'''






          if traversal_function is None:
               return self.preorder_traverse(self.root)
          else:
               return traversal_function(self.root)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          if node:
               self.inorder(_UpperCAmelCase						,     node.left)
               arr.append(node.value)
               self.inorder(_UpperCAmelCase						,     node.right)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			list[int]								=	[]
          self.inorder(_UpperCAmelCase						,     _UpperCAmelCase)  # append all values to list using inorder traversal
          return arr[k - 1]






def 	_lowerCAmelCase      (  __snake_case  :			Node | None      )					->					list[Node]:
     __A						:			Tuple								=	[]
     if curr_node is not None:
          __A						:			Optional[Any]								=	postorder(curr_node.left      ) + postorder(curr_node.right      ) + [curr_node]
     return node_list






def 	_lowerCAmelCase      (  )					->					None:
     __A						:			Optional[int]								=	(8, 3, 6, 1, 10, 14, 13, 4, 7)
     __A						:			str								=	BinarySearchTree()
     for i in testlist:
          t.insert(__snake_case      )

     # Prints all the elements of the list in order traversal
     print(__snake_case      )

     if t.search(6      ) is not None:
          print('The value 6 exists'      )
     else:
          print('The value 6 doesn\'t exist'      )

     if t.search(-1      ) is not None:
          print('The value -1 exists'      )
     else:
          print('The value -1 doesn\'t exist'      )

     if not t.empty():
          print('Max Value: '			,							t.get_max().value      )  # type: ignore
          print('Min Value: '			,							t.get_min().value      )  # type: ignore

     for i in testlist:
          t.remove(__snake_case      )
          print(__snake_case      )


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)