




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       a_       (     SCREAMING_SNAKE_CASE__     ):





	def __init__(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = False      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					int:




				"""simple docstring"""



				super().__init__(features=SCREAMING_SNAKE_CASE      ,     cache_dir=SCREAMING_SNAKE_CASE      ,     keep_in_memory=SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						Sql(
				    cache_dir=SCREAMING_SNAKE_CASE      ,     features=SCREAMING_SNAKE_CASE      ,     sql=SCREAMING_SNAKE_CASE      ,     con=SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      ,     )





	def 						A_(							self      )  ->					Tuple:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						None
				SCREAMING_SNAKE_CASE_								=						None
				SCREAMING_SNAKE_CASE_								=						None
				SCREAMING_SNAKE_CASE_								=						None

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

				# Build dataset for splits
				SCREAMING_SNAKE_CASE_								=						self.builder.as_dataset(
				    split='train'      ,     verification_mode=SCREAMING_SNAKE_CASE      ,     in_memory=self.keep_in_memory      )
				return dataset




class       a_       :





	def __init__(							self      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE = None      ,     SCREAMING_SNAKE_CASE = None      ,     **SCREAMING_SNAKE_CASE      ,     )  ->					str:




				"""simple docstring"""



				if num_proc is not None and num_proc <= 0:
							raise ValueError(f'num_proc {num_proc} must be an integer > 0.'      )

				SCREAMING_SNAKE_CASE_								=						dataset
				SCREAMING_SNAKE_CASE_								=						name
				SCREAMING_SNAKE_CASE_								=						con
				SCREAMING_SNAKE_CASE_								=						batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
				SCREAMING_SNAKE_CASE_								=						num_proc
				SCREAMING_SNAKE_CASE_								=						to_sql_kwargs





	def 						A_(							self      )  ->					int:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.to_sql_kwargs.pop('sql'      ,     SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						self.to_sql_kwargs.pop('con'      ,     SCREAMING_SNAKE_CASE      )
				SCREAMING_SNAKE_CASE_								=						self.to_sql_kwargs.pop('index'      ,     SCREAMING_SNAKE_CASE      )

				SCREAMING_SNAKE_CASE_								=						self._write(index=SCREAMING_SNAKE_CASE      ,     **self.to_sql_kwargs      )
				return written





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					List[str]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						args
				SCREAMING_SNAKE_CASE_								=						{**to_sql_kwargs, 'if_exists': 'append'} if offset > 0 else to_sql_kwargs
				SCREAMING_SNAKE_CASE_								=						query_table(
				    table=self.dataset.data      ,     key=slice(SCREAMING_SNAKE_CASE      ,     offset + self.batch_size      )      ,     indices=self.dataset._indices      ,     )
				SCREAMING_SNAKE_CASE_								=						batch.to_pandas()
				SCREAMING_SNAKE_CASE_								=						df.to_sql(self.name      ,     self.con      ,     index=SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )
				return num_rows or len(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      ,     **SCREAMING_SNAKE_CASE      )  ->					int:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						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:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						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      ,     SCREAMING_SNAKE_CASE      ,     SCREAMING_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






def lowercase    (  SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )			->							Dict:


			'''simple docstring'''







			if index == r:
						for j in range(SCREAMING_SNAKE_CASE ):
									print(data[j]       ,    end=' ' )
						print(' ' )
						return
			#  When no more elements are there to put in data[]
			if i >= n:
						return
			# current is included, put next at next location
			SCREAMING_SNAKE_CASE_								=						arr[i]
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    index + 1       ,    SCREAMING_SNAKE_CASE       ,    i + 1 )
			# current is excluded, replace it with
			# next (Note that i+1 is passed, but
			# index is not changed)
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    i + 1 )
			# The main function that prints all combinations
			# of size r in arr[] of size n. This function
			# mainly uses combinationUtil()

def lowercase    (  SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE )			->							Any:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						[0] * r
			# Print all combination using temporary array 'data[]'
			combination_util(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE       ,    0       ,    SCREAMING_SNAKE_CASE       ,    0 )


if __name__ == "__main__":
				# Driver code to check the function above
				SCREAMING_SNAKE_CASE__     :     Dict		    =       [10, 20, 30, 40, 50]
				print_combination(arr, len(arr), 3)
				# This code is contributed by Ambuj sahu
