
import multiprocessing
from typing import TYPE_CHECKING, Optional, Union

from .. import Dataset, Features, config
from ..formatting import query_table
from ..packaged_modules.sql.sql import Sql
from ..utils import logging
from .abc import AbstractDatasetInputStream


if TYPE_CHECKING:
      import sqlitea

      import sqlalchemy



class 		UpperCamelCase__  (	__lowercase   ):
   def __init__(self			: Optional[int] ,    snake_case_			: Union[str, "sqlalchemy.sql.Selectable"] ,    snake_case_			: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"] ,    snake_case_			: Optional[Features] = None ,    snake_case_			: str = None ,    snake_case_			: bool = False ,    **snake_case_			: Union[str, Any] ,    ):
    super().__init__(features=snake_case_ ,    cache_dir=snake_case_ ,    keep_in_memory=snake_case_ ,    **snake_case_       )
    __a			:  str		    =  Sql(
        cache_dir=snake_case_ ,    features=snake_case_ ,    sql=snake_case_ ,    con=snake_case_ ,    **snake_case_ ,    )







   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  Optional[int]		    =  None
    __a			:  Union[str, Any]		    =  None
    __a			:  Union[str, Any]		    =  None
    __a			:  int		    =  None

    self.builder.download_and_prepare(
        download_config=snake_case_ ,    download_mode=snake_case_ ,    verification_mode=snake_case_ ,    base_path=snake_case_ ,    )

    # Build dataset for splits
    __a			:  Optional[int]		    =  self.builder.as_dataset(
        split='''train''' ,    verification_mode=snake_case_ ,    in_memory=self.keep_in_memory       )
    return dataset





class 		UpperCamelCase__  :
   def __init__(self			: str ,    snake_case_			: Dataset ,    snake_case_			: str ,    snake_case_			: Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"] ,    snake_case_			: Optional[int] = None ,    snake_case_			: Optional[int] = None ,    **snake_case_			: Tuple ,    ):
    if num_proc is not None and num_proc <= 0:
     raise ValueError(f"num_proc {num_proc} must be an integer > 0."       )

    __a			:  Union[str, Any]		    =  dataset
    __a			:  Dict		    =  name
    __a			:  int		    =  con
    __a			:  Any		    =  batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
    __a			:  int		    =  num_proc
    __a			:  Optional[Any]		    =  to_sql_kwargs
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    __a			:  Optional[Any]		    =  self.to_sql_kwargs.pop('''sql''' ,    snake_case_       )
    __a			:  int		    =  self.to_sql_kwargs.pop('''con''' ,    snake_case_       )
    __a			:  List[Any]		    =  self.to_sql_kwargs.pop('''index''' ,    snake_case_       )

    __a			:  Optional[Any]		    =  self._write(index=snake_case_ ,    **self.to_sql_kwargs       )
    return written
   def 				lowerCAmelCase      (self			: int ,    snake_case_			: int       ):
    __a    ,	__a    ,	__a			:  List[str]		    =  args
    __a			:  Optional[Any]		    =  {**to_sql_kwargs, '''if_exists''': '''append'''} if offset > 0 else to_sql_kwargs
    __a			:  List[str]		    =  query_table(
        table=self.dataset.data ,    key=slice(snake_case_ ,    offset + self.batch_size       ) ,    indices=self.dataset._indices ,    )
    __a			:  Optional[int]		    =  batch.to_pandas()
    __a			:  List[str]		    =  df.to_sql(self.name ,    self.con ,    index=snake_case_ ,    **snake_case_       )
    return num_rows or len(snake_case_       )







   def 				lowerCAmelCase      (self			: Optional[Any] ,    snake_case_			: int ,    **snake_case_			: List[str]       ):
    __a			:  Union[str, Any]		    =  0

    if self.num_proc is None or self.num_proc == 1:
     for offset in logging.tqdm(
         range(0 ,    len(self.dataset       ) ,    self.batch_size       ) ,    unit='''ba''' ,    disable=not logging.is_progress_bar_enabled() ,    desc='''Creating SQL from Arrow format''' ,    ):
      written += self._batch_sql((offset, index, to_sql_kwargs)       )
    else:
     __a    ,	__a			:  Tuple		    =  len(self.dataset       ), self.batch_size
     with multiprocessing.Pool(self.num_proc       ) as pool:
      for num_rows in logging.tqdm(
          pool.imap(
              self._batch_sql ,    [(offset, index, to_sql_kwargs) for offset in range(0 ,    snake_case_ ,    snake_case_       )] ,    ) ,    total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size ,    unit='''ba''' ,    disable=not logging.is_progress_bar_enabled() ,    desc='''Creating SQL from Arrow format''' ,    ):
       written += num_rows

    return written


import os
import sys
import unittest


lowercase__          =os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


lowercase__          =os.path.join('tests', 'models', 'bert', 'test_modeling_bert.py')
lowercase__          =os.path.join('tests', 'models', 'blip', 'test_modeling_blip.py')



class 		UpperCamelCase__  (	unittest.TestCase   ):
   def 				lowerCAmelCase      (self			: List[Any]       ):
    __a			:  str		    =  get_test_to_tester_mapping(snake_case_       )
    __a			:  Tuple		    =  get_test_to_tester_mapping(snake_case_       )

    __a			:  Union[str, Any]		    =  {'''BertModelTest''': '''BertModelTester'''}

    __a			:  Tuple		    =  {
        '''BlipModelTest''': '''BlipModelTester''',
        '''BlipTextImageModelTest''': '''BlipTextImageModelsModelTester''',
        '''BlipTextModelTest''': '''BlipTextModelTester''',
        '''BlipTextRetrievalModelTest''': '''BlipTextRetrievalModelTester''',
        '''BlipVQAModelTest''': '''BlipVQAModelTester''',
        '''BlipVisionModelTest''': '''BlipVisionModelTester''',
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  Optional[int]		    =  get_model_to_test_mapping(snake_case_       )
    __a			:  Any		    =  get_model_to_test_mapping(snake_case_       )

    __a			:  List[Any]		    =  {
        '''BertForMaskedLM''': ['''BertModelTest'''],
        '''BertForMultipleChoice''': ['''BertModelTest'''],
        '''BertForNextSentencePrediction''': ['''BertModelTest'''],
        '''BertForPreTraining''': ['''BertModelTest'''],
        '''BertForQuestionAnswering''': ['''BertModelTest'''],
        '''BertForSequenceClassification''': ['''BertModelTest'''],
        '''BertForTokenClassification''': ['''BertModelTest'''],
        '''BertLMHeadModel''': ['''BertModelTest'''],
        '''BertModel''': ['''BertModelTest'''],
    }

    __a			:  Dict		    =  {
        '''BlipForConditionalGeneration''': ['''BlipTextImageModelTest'''],
        '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTest'''],
        '''BlipForQuestionAnswering''': ['''BlipVQAModelTest'''],
        '''BlipModel''': ['''BlipModelTest'''],
        '''BlipTextModel''': ['''BlipTextModelTest'''],
        '''BlipVisionModel''': ['''BlipVisionModelTest'''],
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )







   def 				lowerCAmelCase      (self			: int       ):
    __a			:  Any		    =  get_model_to_tester_mapping(snake_case_       )
    __a			:  List[str]		    =  get_model_to_tester_mapping(snake_case_       )

    __a			:  Any		    =  {
        '''BertForMaskedLM''': ['''BertModelTester'''],
        '''BertForMultipleChoice''': ['''BertModelTester'''],
        '''BertForNextSentencePrediction''': ['''BertModelTester'''],
        '''BertForPreTraining''': ['''BertModelTester'''],
        '''BertForQuestionAnswering''': ['''BertModelTester'''],
        '''BertForSequenceClassification''': ['''BertModelTester'''],
        '''BertForTokenClassification''': ['''BertModelTester'''],
        '''BertLMHeadModel''': ['''BertModelTester'''],
        '''BertModel''': ['''BertModelTester'''],
    }

    __a			:  int		    =  {
        '''BlipForConditionalGeneration''': ['''BlipTextImageModelsModelTester'''],
        '''BlipForImageTextRetrieval''': ['''BlipTextRetrievalModelTester'''],
        '''BlipForQuestionAnswering''': ['''BlipVQAModelTester'''],
        '''BlipModel''': ['''BlipModelTester'''],
        '''BlipTextModel''': ['''BlipTextModelTester'''],
        '''BlipVisionModel''': ['''BlipVisionModelTester'''],
    }

    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
    self.assertEqual(get_test_info.to_json(snake_case_       ) ,    snake_case_       )
