

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


_lowerCamelCase      :					Dict					    =      logging.get_logger(__name__)


_lowerCamelCase      :					Any					    =      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
_lowerCamelCase      :					List[str]					    =      {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

_lowerCamelCase      :					List[Any]					    =      {
    '''RUCAIBox/mvp''': 1024,
}





class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       lowercase_						=    VOCAB_FILES_NAMES
       lowercase_						=    PRETRAINED_VOCAB_FILES_MAP
       lowercase_						=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowercase_						=    ["""input_ids""", """attention_mask"""]
       lowercase_						=    MvpTokenizer

       def __init__(							self ,   lowercase__=None ,   lowercase__=None ,   lowercase__=None ,   lowercase__="replace" ,   lowercase__="<s>" ,   lowercase__="</s>" ,   lowercase__="</s>" ,   lowercase__="<s>" ,   lowercase__="<unk>" ,   lowercase__="<pad>" ,   lowercase__="<mask>" ,   lowercase__=False ,   lowercase__=True ,   **lowercase__ ,   ):







             '''simple docstring'''



             super().__init__(
                 lowercase__ ,   lowercase__ ,   tokenizer_file=lowercase__ ,   errors=lowercase__ ,   bos_token=lowercase__ ,   eos_token=lowercase__ ,   sep_token=lowercase__ ,   cls_token=lowercase__ ,   unk_token=lowercase__ ,   pad_token=lowercase__ ,   mask_token=lowercase__ ,   add_prefix_space=lowercase__ ,   trim_offsets=lowercase__ ,   **lowercase__ ,   )

             __A    =json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
             if pre_tok_state.get('''add_prefix_space''' ,   lowercase__     ) != add_prefix_space:
                   __A    =getattr(lowercase__ ,   pre_tok_state.pop('''type'''     )     )
                   __A    =add_prefix_space
                   __A    =pre_tok_class(**lowercase__     )

             __A    =add_prefix_space

             # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
             __A    ='''post_processor'''
             __A    =getattr(self.backend_tokenizer ,   lowercase__ ,   lowercase__     )
             if tokenizer_component_instance:
                   __A    =json.loads(tokenizer_component_instance.__getstate__()     )

                   # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                   if "sep" in state:
                         __A    =tuple(state['''sep''']     )
                   if "cls" in state:
                         __A    =tuple(state['''cls''']     )

                   __A    =False

                   if state.get('''add_prefix_space''' ,   lowercase__     ) != add_prefix_space:
                         __A    =add_prefix_space
                         __A    =True

                   if state.get('''trim_offsets''' ,   lowercase__     ) != trim_offsets:
                         __A    =trim_offsets
                         __A    =True

                   if changes_to_apply:
                         __A    =getattr(lowercase__ ,   state.pop('''type'''     )     )
                         __A    =component_class(**lowercase__     )
                         setattr(self.backend_tokenizer ,   lowercase__ ,   lowercase__     )

       @property
       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             if self._mask_token is None:
                   if self.verbose:
                         logger.error('''Using mask_token, but it is not set yet.'''     )
                   return None
             return str(self._mask_token     )

       @mask_token.setter
       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



             __A    =AddedToken(lowercase__ ,   lstrip=lowercase__ ,   rstrip=lowercase__     ) if isinstance(lowercase__ ,   lowercase__     ) else value
             __A    =value

       def     __UpperCamelCase     (							self ,   *lowercase__ ,   **lowercase__     ):







             '''simple docstring'''



             __A    =kwargs.get('''is_split_into_words''' ,   lowercase__     )

             if is_split_into_words and not self.add_prefix_space:
                   raise ValueError(
                       f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                       '''to use it with pretokenized inputs.'''     )

             return super()._batch_encode_plus(*lowercase__ ,   **lowercase__     )

       def     __UpperCamelCase     (							self ,   *lowercase__ ,   **lowercase__     ):







             '''simple docstring'''



             __A    =kwargs.get('''is_split_into_words''' ,   lowercase__     )

             if is_split_into_words and not self.add_prefix_space:
                   raise ValueError(
                       f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                       '''to use it with pretokenized inputs.'''     )

             return super()._encode_plus(*lowercase__ ,   **lowercase__     )

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None     ):







             '''simple docstring'''



             __A    =self._tokenizer.model.save(lowercase__ ,   name=lowercase__     )
             return tuple(lowercase__     )

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__=None     ):







             '''simple docstring'''



             __A    =[self.bos_token_id] + token_ids_a + [self.eos_token_id]
             if token_ids_a is None:
                   return output

             return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]


       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ = None     ):







             '''simple docstring'''



             __A    =[self.sep_token_id]
             __A    =[self.cls_token_id]

             if token_ids_a is None:
                   return len(cls + token_ids_a + sep     ) * [0]
             return len(cls + token_ids_a + sep + sep + token_ids_a + sep     ) * [0]





import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pytest

from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex

from .utils import require_elasticsearch, require_faiss


_lowerCamelCase      :					List[str]					    =      pytest.mark.integration





@require_faiss
class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(lowercase__     ) for x in np.arange(3_0     ).tolist()]}     )
             return dset

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =self._create_dummy_dataset()
             __A    =dset.map(
                 lambda lowercase__ ,   lowercase__     : {"vecs": i * np.ones(5 ,   dtype=np.floataa     )} ,   with_indices=lowercase__ ,   keep_in_memory=lowercase__     )
             __A    =dset.add_faiss_index('''vecs''' ,   batch_size=1_0_0 ,   metric_type=faiss.METRIC_INNER_PRODUCT     )
             __A    ,		__A    =dset.get_nearest_examples('''vecs''' ,   np.ones(5 ,   dtype=np.floataa     )     )
             self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''     )
             dset.drop_index('''vecs'''     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =self._create_dummy_dataset()
             dset.add_faiss_index_from_external_arrays(
                 external_arrays=np.ones((3_0, 5)     ) * np.arange(3_0     ).reshape(-1 ,   1     ) ,   index_name='''vecs''' ,   batch_size=1_0_0 ,   metric_type=faiss.METRIC_INNER_PRODUCT ,   )
             __A    ,		__A    =dset.get_nearest_examples('''vecs''' ,   np.ones(5 ,   dtype=np.floataa     )     )
             self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =self._create_dummy_dataset()
             dset.add_faiss_index_from_external_arrays(
                 external_arrays=np.ones((3_0, 5)     ) * np.arange(3_0     ).reshape(-1 ,   1     ) ,   index_name='''vecs''' ,   metric_type=faiss.METRIC_INNER_PRODUCT ,   )

             # Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
             # ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
             # see https://bugs.python.org/issue14243 and
             # https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
             with tempfile.NamedTemporaryFile(delete=lowercase__     ) as tmp_file:
                   dset.save_faiss_index('''vecs''' ,   tmp_file.name     )
                   dset.load_faiss_index('''vecs2''' ,   tmp_file.name     )
             os.unlink(tmp_file.name     )

             __A    ,		__A    =dset.get_nearest_examples('''vecs2''' ,   np.ones(5 ,   dtype=np.floataa     )     )
             self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             __A    =self._create_dummy_dataset()
             dset.add_faiss_index_from_external_arrays(
                 external_arrays=np.ones((3_0, 5)     ) * np.arange(3_0     ).reshape(-1 ,   1     ) ,   index_name='''vecs'''     )
             dset.drop_index('''vecs'''     )
             self.assertRaises(lowercase__ ,   partial(dset.get_nearest_examples ,   '''vecs2''' ,   np.ones(5 ,   dtype=np.floataa     )     )     )


       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             from elasticsearch import Elasticsearch

             __A    =self._create_dummy_dataset()
             with patch('''elasticsearch.Elasticsearch.search'''     ) as mocked_search, patch(
                 '''elasticsearch.client.IndicesClient.create'''     ) as mocked_index_create, patch('''elasticsearch.helpers.streaming_bulk'''     ) as mocked_bulk:
                   __A    ={'''acknowledged''': True}
                   mocked_bulk.return_value([(True, None)] * 3_0     )
                   __A    ={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 2_9}]}}
                   __A    =Elasticsearch()

                   dset.add_elasticsearch_index('''filename''' ,   es_client=lowercase__     )
                   __A    ,		__A    =dset.get_nearest_examples('''filename''' ,   '''my_name-train_29'''     )
                   self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''     )





@require_faiss
class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT     )

             # add vectors
             index.add_vectors(np.eye(5 ,   dtype=np.floataa     )     )
             self.assertIsNotNone(index.faiss_index     )
             self.assertEqual(index.faiss_index.ntotal ,   5     )
             index.add_vectors(np.zeros((5, 5) ,   dtype=np.floataa     )     )
             self.assertEqual(index.faiss_index.ntotal ,   1_0     )

             # single query
             __A    =np.zeros(5 ,   dtype=np.floataa     )
             __A    =1
             __A    ,		__A    =index.search(lowercase__     )
             self.assertRaises(lowercase__ ,   index.search ,   query.reshape(-1 ,   1     )     )
             self.assertGreater(scores[0] ,   0     )
             self.assertEqual(indices[0] ,   1     )

             # batched queries
             __A    =np.eye(5 ,   dtype=np.floataa     )[::-1]
             __A    ,		__A    =index.search_batch(lowercase__     )
             self.assertRaises(lowercase__ ,   index.search_batch ,   queries[0]     )
             __A    =[scores[0] for scores in total_scores]
             __A    =[indices[0] for indices in total_indices]
             self.assertGreater(np.min(lowercase__     ) ,   0     )
             self.assertListEqual([4, 3, 2, 1, 0] ,   lowercase__     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =FaissIndex(string_factory='''Flat'''     )
             index.add_vectors(np.eye(5 ,   dtype=np.floataa     )     )
             self.assertIsInstance(index.faiss_index ,   faiss.IndexFlat     )
             __A    =FaissIndex(string_factory='''LSH'''     )
             index.add_vectors(np.eye(5 ,   dtype=np.floataa     )     )
             self.assertIsInstance(index.faiss_index ,   faiss.IndexLSH     )
             with self.assertRaises(lowercase__     ):
                   __A    =FaissIndex(string_factory='''Flat''' ,   custom_index=faiss.IndexFlat(5     )     )

       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =faiss.IndexFlat(5     )
             __A    =FaissIndex(custom_index=lowercase__     )
             index.add_vectors(np.eye(5 ,   dtype=np.floataa     )     )
             self.assertIsInstance(index.faiss_index ,   faiss.IndexFlat     )


       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             import faiss

             __A    =FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT     )
             index.add_vectors(np.eye(5 ,   dtype=np.floataa     )     )

             # Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
             # ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
             # see https://bugs.python.org/issue14243 and
             # https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
             with tempfile.NamedTemporaryFile(delete=lowercase__     ) as tmp_file:
                   index.save(tmp_file.name     )
                   __A    =FaissIndex.load(tmp_file.name     )
             os.unlink(tmp_file.name     )

             __A    =np.zeros(5 ,   dtype=np.floataa     )
             __A    =1
             __A    ,		__A    =index.search(lowercase__     )
             self.assertGreater(scores[0] ,   0     )
             self.assertEqual(indices[0] ,   1     )





@require_faiss
def      A__					(			__A  :						Dict			)					->List[Any]:
      import faiss

      __A    =FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT			)
      index.add_vectors(np.eye(5     ,				dtype=np.floataa			)			)

      __A    ='''index.faiss'''
      __A    =F'''mock://{index_name}'''
      index.save(__A     ,				storage_options=mockfs.storage_options			)
      __A    =FaissIndex.load(__A     ,				storage_options=mockfs.storage_options			)

      __A    =np.zeros(5     ,				dtype=np.floataa			)
      __A    =1
      __A    ,		__A    =index.search(__A			)
      assert scores[0] > 0
      assert indices[0] == 1





@require_elasticsearch
class        lowerCAmelCase__  (					__magic_name__			):



       '''simple docstring'''







       def     __UpperCamelCase     (							self     ):







             '''simple docstring'''



             from elasticsearch import Elasticsearch

             with patch('''elasticsearch.Elasticsearch.search'''     ) as mocked_search, patch(
                 '''elasticsearch.client.IndicesClient.create'''     ) as mocked_index_create, patch('''elasticsearch.helpers.streaming_bulk'''     ) as mocked_bulk:
                   __A    =Elasticsearch()
                   __A    ={'''acknowledged''': True}
                   __A    =ElasticSearchIndex(es_client=lowercase__     )
                   mocked_bulk.return_value([(True, None)] * 3     )
                   index.add_documents(['''foo''', '''bar''', '''foobar''']     )

                   # single query
                   __A    ='''foo'''
                   __A    ={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
                   __A    ,		__A    =index.search(lowercase__     )
                   self.assertEqual(scores[0] ,   1     )
                   self.assertEqual(indices[0] ,   0     )

                   # single query with timeout
                   __A    ='''foo'''
                   __A    ={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
                   __A    ,		__A    =index.search(lowercase__ ,   request_timeout=3_0     )
                   self.assertEqual(scores[0] ,   1     )
                   self.assertEqual(indices[0] ,   0     )

                   # batched queries
                   __A    =['''foo''', '''bar''', '''foobar''']
                   __A    ={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
                   __A    ,		__A    =index.search_batch(lowercase__     )
                   __A    =[scores[0] for scores in total_scores]
                   __A    =[indices[0] for indices in total_indices]
                   self.assertGreater(np.min(lowercase__     ) ,   0     )
                   self.assertListEqual([1, 1, 1] ,   lowercase__     )

                   # batched queries with timeout
                   __A    =['''foo''', '''bar''', '''foobar''']
                   __A    ={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
                   __A    ,		__A    =index.search_batch(lowercase__ ,   request_timeout=3_0     )
                   __A    =[scores[0] for scores in total_scores]
                   __A    =[indices[0] for indices in total_indices]
                   self.assertGreater(np.min(lowercase__     ) ,   0     )
                   self.assertListEqual([1, 1, 1] ,   lowercase__     )


