
'''simple docstring'''


from collections.abc import Callable

class 	__lowercase				:

			def __init__(self			,   A = None      ):
								# Stores actual heap items.
								lowerCamelCase_					:      list     =		[]
								# Stores indexes of each item for supporting updates and deletion.
								lowerCamelCase_					:      dict     =		{}
								# Stores current size of heap.
								lowerCamelCase_					:      List[Any]     =		0
								# Stores function used to evaluate the score of an item on which basis ordering
								# will be done.
								lowerCamelCase_					:      int     =		key or (lambda A      : x)

			def        UpperCAmelCase__ (self			,   A      ):
								return int((i - 1) / 2      ) if i > 0 else None

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      List[str]     =		int(2 * i + 1      )
								return left if 0 < left < self.size else None

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      Optional[Any]     =		int(2 * i + 2      )
								return right if 0 < right < self.size else None

			def        UpperCAmelCase__ (self			,   A			,   A      ):
								lowerCamelCase_					:      Any     =		(
								    self.pos_map[self.arr[j][0]],
								    self.pos_map[self.arr[i][0]],
								)
								# Then swap the items in the list.
								lowerCamelCase_					:      int     =		self.arr[j], self.arr[i]

			def        UpperCAmelCase__ (self			,   A			,   A      ):
								return self.arr[i][1] < self.arr[j][1]

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      Tuple     =		self._left(A      )
								lowerCamelCase_					:      List[str]     =		self._right(A      )
								lowerCamelCase_					:      int     =		i

								if left is not None and not self._cmp(A			,   A      ):
													lowerCamelCase_					:      int     =		left
								if right is not None and not self._cmp(A			,   A      ):
													lowerCamelCase_					:      List[Any]     =		right

								return valid_parent

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      List[str]     =		self._parent(A      )
								while parent is not None and not self._cmp(A			,   A      ):
													self._swap(A			,   A      )
													lowerCamelCase_					:      Optional[Any]     =		parent, self._parent(A      )

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      List[Any]     =		self._get_valid_parent(A      )
								while valid_parent != index:
													self._swap(A			,   A      )
													lowerCamelCase_					:      List[Any]     =		valid_parent, self._get_valid_parent(A      )

			def        UpperCAmelCase__ (self			,   A			,   A      ):
								if item not in self.pos_map:
													return
								lowerCamelCase_					:      Optional[Any]     =		self.pos_map[item]
								lowerCamelCase_					:      List[Any]     =		[item, self.key(A      )]
								# Make sure heap is right in both up and down direction.
								# Ideally only one of them will make any change.
								self._heapify_up(A      )
								self._heapify_down(A      )

			def        UpperCAmelCase__ (self			,   A      ):
								if item not in self.pos_map:
													return
								lowerCamelCase_					:      List[Any]     =		self.pos_map[item]
								del self.pos_map[item]
								lowerCamelCase_					:      str     =		self.arr[self.size - 1]
								lowerCamelCase_					:      List[str]     =		index
								self.size -= 1
								# Make sure heap is right in both up and down direction. Ideally only one
								# of them will make any change- so no performance loss in calling both.
								if self.size > index:
													self._heapify_up(A      )
													self._heapify_down(A      )

			def        UpperCAmelCase__ (self			,   A			,   A      ):
								lowerCamelCase_					:      Optional[Any]     =		len(self.arr      )
								if arr_len == self.size:
													self.arr.append([item, self.key(A      )]      )
								else:
													lowerCamelCase_					:      Any     =		[item, self.key(A      )]
								lowerCamelCase_					:      Optional[int]     =		self.size
								self.size += 1
								self._heapify_up(self.size - 1      )

			def        UpperCAmelCase__ (self      ):
								return self.arr[0] if self.size else None






			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Union[str, Any]     =		self.get_top()
								if top_item_tuple:
													self.delete_item(top_item_tuple[0]      )
								return top_item_tuple




def lowercase_	(   )     ->							None:
					'''simple docstring'''




if __name__ == "__main__":
					import doctest

					doctest.testmod()




'''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 	__lowercase				(  _lowercase    ):

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		tempfile.mkdtemp()
								lowerCamelCase_					:      Optional[int]     =		5

								# Realm tok
								lowerCamelCase_					:      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''',
								]
								lowerCamelCase_					:      Optional[int]     =		os.path.join(self.tmpdirname			,   '''realm_tokenizer'''      )
								os.makedirs(A			,   exist_ok=A      )
								lowerCamelCase_					:      str     =		os.path.join(A			,   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]      )      )

								lowerCamelCase_					:      List[Any]     =		os.path.join(self.tmpdirname			,   '''realm_block_records'''      )
								os.makedirs(A			,   exist_ok=A      )

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

			def        UpperCAmelCase__ (self      ):
								shutil.rmtree(self.tmpdirname      )

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      int     =		RealmConfig(num_block_records=self.num_block_records      )
								return config

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[int]     =		Dataset.from_dict(
								    {
								        '''id''': ['''0''', '''1'''],
								        '''question''': ['''foo''', '''bar'''],
								        '''answers''': [['''Foo''', '''Bar'''], ['''Bar''']],
								    }      )
								return dataset

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		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=A			,   )
								return block_records

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Dict     =		RealmRetriever(
								    block_records=self.get_dummy_block_records()			,   tokenizer=self.get_tokenizer()			,   )
								return retriever

			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Optional[Any]     =		self.get_config()
								lowerCamelCase_					:      List[Any]     =		self.get_dummy_retriever()
								lowerCamelCase_					:      Dict     =		retriever.tokenizer

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

								lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_					:      Tuple     =		retriever(
								    A			,   A			,   answer_ids=A			,   max_length=A			,   return_tensors='''np'''      )

								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(len(A      )			,   2      )
								self.assertEqual(concat_inputs.input_ids.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.attention_mask.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.token_type_ids.shape			,   (2, 1_0)      )
								self.assertEqual(concat_inputs.special_tokens_mask.shape			,   (2, 1_0)      )
								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        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      str     =		self.get_config()
								lowerCamelCase_					:      Optional[Any]     =		self.get_dummy_retriever()
								lowerCamelCase_					:      Optional[int]     =		retriever.tokenizer

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

								lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_,      lowerCamelCase_					:      int     =		retriever(
								    A			,   A			,   answer_ids=A			,   max_length=A			,   return_tensors='''np'''      )

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






			def        UpperCAmelCase__ (self      ):
								lowerCamelCase_					:      Any     =		self.get_dummy_retriever()
								retriever.save_pretrained(os.path.join(self.tmpdirname			,   '''realm_block_records'''      )      )

								# Test local path
								lowerCamelCase_					:      str     =		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:
													lowerCamelCase_					:      Dict     =		os.path.join(
													    os.path.join(self.tmpdirname			,   '''realm_block_records'''      )			,   _REALM_BLOCK_RECORDS_FILENAME      )
													lowerCamelCase_					:      str     =		RealmRetriever.from_pretrained('''google/realm-cc-news-pretrained-openqa'''      )

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


