



'''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       (  lowerCAmelCase__				):


 """simple docstring"""


 def _snake_case (							self							)		->   str:
        _UpperCAmelCase  :						str			     = tempfile.mkdtemp()
        _UpperCAmelCase  :						List[Any]			     = 5

        # Realm tok
        _UpperCAmelCase  :						List[str]			     = [
            '''[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''',
        ]
        _UpperCAmelCase  :						Union[str, Any]			     = os.path.join(self.tmpdirname  ,"""realm_tokenizer"""							)
        os.makedirs(lowercase_  ,exist_ok=lowercase_							)
        _UpperCAmelCase  :						Tuple			     = os.path.join(lowercase_  ,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]							)							)

        _UpperCAmelCase  :						Tuple			     = os.path.join(self.tmpdirname  ,"""realm_block_records"""							)
        os.makedirs(lowercase_  ,exist_ok=lowercase_							)







 def _snake_case (							self							)		->   Union[str, Any]:
        return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname  ,"""realm_tokenizer"""							)							)







 def _snake_case (							self							)		->   str:
        shutil.rmtree(self.tmpdirname							)







 def _snake_case (							self							)		->   List[Any]:
        _UpperCAmelCase  :						str			     = RealmConfig(num_block_records=self.num_block_records							)
        return config







 def _snake_case (							self							)		->   Tuple:
        _UpperCAmelCase  :						Any			     = Dataset.from_dict(
            {
                """id""": ["""0""", """1"""],
                """question""": ["""foo""", """bar"""],
                """answers""": [["""Foo""", """Bar"""], ["""Bar"""]],
            }							)
        return dataset







 def _snake_case (							self							)		->   Optional[int]:
        _UpperCAmelCase  :						Union[str, 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=lowercase_  ,)
        return block_records







 def _snake_case (							self							)		->   Dict:
        _UpperCAmelCase  :						List[Any]			     = RealmRetriever(
            block_records=self.get_dummy_block_records()  ,tokenizer=self.get_tokenizer()  ,)
        return retriever







 def _snake_case (							self							)		->   Dict:
        _UpperCAmelCase  :						Dict			     = self.get_config()
        _UpperCAmelCase  :						int			     = self.get_dummy_retriever()
        _UpperCAmelCase  :						Dict			     = retriever.tokenizer

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

        _UpperCAmelCase  :						Optional[Any]			     = retriever(
            lowercase_  ,lowercase_  ,answer_ids=lowercase_  ,max_length=lowercase_  ,return_tensors="""np"""							)

        self.assertEqual(len(lowercase_							)  ,2							)
        self.assertEqual(len(lowercase_							)  ,2							)
        self.assertEqual(len(lowercase_							)  ,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 _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						Any			     = self.get_config()
        _UpperCAmelCase  :						Tuple			     = self.get_dummy_retriever()
        _UpperCAmelCase  :						int			     = retriever.tokenizer

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

        _UpperCAmelCase  :						List[str]			     = retriever(
            lowercase_  ,lowercase_  ,answer_ids=lowercase_  ,max_length=lowercase_  ,return_tensors="""np"""							)

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







 def _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						int			     = self.get_dummy_retriever()
        retriever.save_pretrained(os.path.join(self.tmpdirname  ,"""realm_block_records"""							)							)

        # Test local path
        _UpperCAmelCase  :						Optional[int]			     = 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:
               _UpperCAmelCase  :						Optional[Any]			     = os.path.join(
                   os.path.join(self.tmpdirname  ,"""realm_block_records"""							)  ,_REALM_BLOCK_RECORDS_FILENAME							)
               _UpperCAmelCase  :						List[Any]			     = RealmRetriever.from_pretrained("""google/realm-cc-news-pretrained-openqa"""							)

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








"""simple docstring"""

def __lowercase			(							_a		,			_a		,			_a=False    ):

    if isinstance(_a		,			_a    ) and isinstance(_a		,			_a    ):
        snake_case_ :     Union[str, Any]				=	len(set_a.intersection(_a    )    )

        if alternative_union:
            snake_case_ :     Any				=	len(_a    ) + len(_a    )
        else:
            snake_case_ :     str				=	len(set_a.union(_a    )    )

        return intersection / union

    if isinstance(_a		,			(list, tuple)    ) and isinstance(_a		,			(list, tuple)    ):
        snake_case_ :     str				=	[element for element in set_a if element in set_b]

        if alternative_union:
            snake_case_ :     Tuple				=	len(_a    ) + len(_a    )
            return len(_a    ) / union
        else:
            snake_case_ :     List[Any]				=	set_a + [element for element in set_b if element not in set_a]
            return len(_a    ) / len(_a    )

        return len(_a    ) / len(_a    )
    return None


if __name__ == "__main__":
     lowercase__    :  Any							    =	{'''a''', '''b''', '''c''', '''d''', '''e'''}
     lowercase__    :  Optional[Any]							    =	{'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
     print(jaccard_similarity(set_a, set_b))





