
'''simple docstring'''


import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
__lowercase							:   Tuple					=     '''.'''


if __name__ == "__main__":
					__lowercase							:   Any					=     os.path.join(REPO_PATH, '''utils/documentation_tests.txt''')
					__lowercase							:   Any					=     []
					__lowercase							:   str					=     []
					with open(doctest_file_path) as fp:
										for line in fp:
															__lowercase							:   Optional[Any]					=     line.strip()
															__lowercase							:   Any					=     os.path.join(REPO_PATH, line)
															if not (os.path.isfile(path) or os.path.isdir(path)):
																				non_existent_paths.append(line)
															all_paths.append(path)
					if len(non_existent_paths) > 0:
										__lowercase							:   List[str]					=     '''\n'''.join(non_existent_paths)
										raise ValueError(f'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
					if all_paths != sorted(all_paths):
										raise ValueError('''Files in `utils/documentation_tests.txt` are not in alphabetical order.''')




'''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'''      )


