
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     lowercase (		__snake_case       ):



		def __init__(			self    ,				A_    ,				A_    ,				A_ = None    ,				A_ = None    ,				A_ = False    ,				**A_    ,				)  -> Union[str, Any]:
				"""simple docstring"""
				super().__init__(features=lowerCamelCase_    ,				cache_dir=lowerCamelCase_    ,				keep_in_memory=lowerCamelCase_    ,				**lowerCamelCase_	)
				UpperCamelCase          =					Sql(
				    cache_dir=lowerCamelCase_    ,				features=lowerCamelCase_    ,				sql=lowerCamelCase_    ,				con=lowerCamelCase_    ,				**lowerCamelCase_    ,				)



		def __UpperCamelCase			(			self	)  -> Optional[Any]:
				"""simple docstring"""
				UpperCamelCase          =					None
				UpperCamelCase          =					None
				UpperCamelCase          =					None
				UpperCamelCase          =					None

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

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






class     lowercase :



		def __init__(			self    ,				A_    ,				A_    ,				A_    ,				A_ = None    ,				A_ = None    ,				**A_    ,				)  -> Optional[int]:
				"""simple docstring"""
				if num_proc is not None and num_proc <= 0:
						raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''	)

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



		def __UpperCamelCase			(			self	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					self.to_sql_kwargs.pop('sql'    ,				lowerCamelCase_	)
				UpperCamelCase          =					self.to_sql_kwargs.pop('con'    ,				lowerCamelCase_	)
				UpperCamelCase          =					self.to_sql_kwargs.pop('index'    ,				lowerCamelCase_	)

				UpperCamelCase          =					self._write(index=lowerCamelCase_    ,				**self.to_sql_kwargs	)
				return written



		def __UpperCamelCase			(			self    ,				A_	)  -> Any:
				"""simple docstring"""
				UpperCamelCase          =					args
				UpperCamelCase          =					{**to_sql_kwargs, """if_exists""": """append"""} if offset > 0 else to_sql_kwargs
				UpperCamelCase          =					query_table(
				    table=self.dataset.data    ,				key=slice(lowerCamelCase_    ,				offset + self.batch_size	)    ,				indices=self.dataset._indices    ,				)
				UpperCamelCase          =					batch.to_pandas()
				UpperCamelCase          =					df.to_sql(self.name    ,				self.con    ,				index=lowerCamelCase_    ,				**lowerCamelCase_	)
				return num_rows or len(lowerCamelCase_	)



		def __UpperCamelCase			(			self    ,				A_    ,				**A_	)  -> int:
				"""simple docstring"""
				UpperCamelCase          =					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:
						UpperCamelCase          =					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    ,				lowerCamelCase_    ,				lowerCamelCase_	)]    ,				)    ,				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


from __future__ import annotations


class     lowercase :



		def __init__(			self    ,				A_    ,				A_	)  -> Any:
				"""simple docstring"""
				UpperCamelCase     ,  UpperCamelCase          =					text, pattern
				UpperCamelCase     ,  UpperCamelCase          =					len(A_	), len(A_	)



		def __UpperCamelCase			(			self    ,				A_	)  -> int:
				"""simple docstring"""

				for i in range(self.patLen - 1    ,				-1    ,				-1	):
						if char == self.pattern[i]:
								return i
				return -1



		def __UpperCamelCase			(			self    ,				A_	)  -> int:
				"""simple docstring"""

				for i in range(self.patLen - 1    ,				-1    ,				-1	):
						if self.pattern[i] != self.text[current_pos + i]:
								return current_pos + i
				return -1



		def __UpperCamelCase			(			self	)  -> list[int]:
				"""simple docstring"""
				# searches pattern in text and returns index positions
				UpperCamelCase          =					[]
				for i in range(self.textLen - self.patLen + 1	):
						UpperCamelCase          =					self.mismatch_in_text(A_	)
						if mismatch_index == -1:
								positions.append(A_	)
						else:
								UpperCamelCase          =					self.match_in_pattern(self.text[mismatch_index]	)
								UpperCamelCase          =					(
								    mismatch_index - match_index
								)  # shifting index lgtm [py/multiple-definition]
				return positions






_UpperCAmelCase :			Union[str, Any]              =	"ABAABA"
_UpperCAmelCase :			Any              =	"AB"
_UpperCAmelCase :			Dict              =	BoyerMooreSearch(text, pattern)
_UpperCAmelCase :			Optional[int]              =	bms.bad_character_heuristic()

if len(positions) == 0:
					print("No match found")
else:
					print("Pattern found in following positions: ")
					print(positions)
