

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     snake_case_			(				_a							):


							"""simple docstring"""





							def        A__  ( self							):
												__lowerCAmelCase					=							tempfile.mkdtemp()
												__lowerCAmelCase					=							5

												# Realm tok
												__lowerCAmelCase					=							[
												    '[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					=							os.path.join(self.tmpdirname					,						'realm_tokenizer'							)
												os.makedirs(_A					,						exist_ok=_A							)
												__lowerCAmelCase					=							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					=							os.path.join(self.tmpdirname					,						'realm_block_records'							)
												os.makedirs(_A					,						exist_ok=_A							)




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




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




							def        A__  ( self							):
												__lowerCAmelCase					=							RealmConfig(num_block_records=self.num_block_records							)
												return config




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




							def        A__  ( self							):
												__lowerCAmelCase					=							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        A__  ( self							):
												__lowerCAmelCase					=							RealmRetriever(
												    block_records=self.get_dummy_block_records()					,						tokenizer=self.get_tokenizer()					,						)
												return retriever




							def        A__  ( self							):
												__lowerCAmelCase					=							self.get_config()
												__lowerCAmelCase					=							self.get_dummy_retriever()
												__lowerCAmelCase					=							retriever.tokenizer

												__lowerCAmelCase					=							np.array([0, 3]					,						dtype='long'							)
												__lowerCAmelCase					=							tokenizer(['Test question']							).input_ids
												__lowerCAmelCase					=							tokenizer(
												    ['the fourth']					,						add_special_tokens=_A					,						return_token_type_ids=_A					,						return_attention_mask=_A					,						).input_ids
												__lowerCAmelCase					=							config.reader_seq_len

												__lowerCAmelCase,	__lowerCAmelCase,	__lowerCAmelCase,	__lowerCAmelCase					=							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        A__  ( self							):
												__lowerCAmelCase					=							self.get_config()
												__lowerCAmelCase					=							self.get_dummy_retriever()
												__lowerCAmelCase					=							retriever.tokenizer

												__lowerCAmelCase					=							np.array([0, 3, 5]					,						dtype='long'							)
												__lowerCAmelCase					=							tokenizer(['Test question']							).input_ids
												__lowerCAmelCase					=							tokenizer(
												    ['the fourth', 'longer longer']					,						add_special_tokens=_A					,						return_token_type_ids=_A					,						return_attention_mask=_A					,						).input_ids
												__lowerCAmelCase					=							config.reader_seq_len

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

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

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









def        __lowercase    (  UpperCAmelCase__		,					UpperCAmelCase__      ):

					"""simple docstring"""






					assert x is not None
					assert y is not None

					__lowerCAmelCase					=							len(UpperCAmelCase__      )
					__lowerCAmelCase					=							len(UpperCAmelCase__      )

					# declaring the array for storing the dp values
					__lowerCAmelCase					=							[[0] * (n + 1) for _ in range(m + 1      )]  # noqa: E741

					for i in range(1		,					m + 1      ):
										for j in range(1		,					n + 1      ):
															__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

															__lowerCAmelCase					=							max(l[i - 1][j]		,					l[i][j - 1]		,					l[i - 1][j - 1] + match      )

					__lowerCAmelCase					=							''
					__lowerCAmelCase,	__lowerCAmelCase					=							m, n
					while i > 0 and j > 0:
										__lowerCAmelCase					=							1 if x[i - 1] == y[j - 1] else 0

										if l[i][j] == l[i - 1][j - 1] + match:
															if match == 1:
																				__lowerCAmelCase					=							x[i - 1] + seq
															i -= 1
															j -= 1
										elif l[i][j] == l[i - 1][j]:
															i -= 1
										else:
															j -= 1

					return l[m][n], seq


if __name__ == "__main__":
		lowerCamelCase      				=     '''AGGTAB'''
		lowerCamelCase      				=     '''GXTXAYB'''
		lowerCamelCase      				=     4
		lowerCamelCase      				=     '''GTAB'''

		lowerCamelCase				,				lowerCamelCase      				=     longest_common_subsequence(a, b)
		print('''len =''', ln, ''', sub-sequence =''', subseq)
		import doctest

		doctest.testmod()






