"""simple docstring"""





class      UpperCAmelCase_	:


      def __init__(   self							)       ->					List[str]:
             lowercase__			:		Optional[int]       =	0
             lowercase__			:		int       =	0
             lowercase__			:		List[Any]       =	{}


      def 		_UpperCAmelCase       (   self		,			a							)       ->					int:
             if vertex not in self.adjacency:
                    lowercase__			:		Any       =	{}
                    self.num_vertices += 1


      def 		_UpperCAmelCase       (   self		,			a		,			a		,			a							)       ->					List[str]:
             self.add_vertex(a							)
             self.add_vertex(a							)

             if head == tail:
                    return

             lowercase__			:		Tuple       =	weight
             lowercase__			:		List[Any]       =	weight


      def 		_UpperCAmelCase       (   self							)       ->					Union[str, Any]:
             lowercase__			:		Optional[int]       =	self.get_edges()
             for edge in edges:
                    lowercase__    ,      lowercase__    ,      lowercase__			:		str       =	edge
                    edges.remove((tail, head, weight)							)
             for i in range(len(a							)							):
                    lowercase__			:		Optional[Any]       =	list(edges[i]							)

             edges.sort(key=lambda a							: e[2]							)
             for i in range(len(a							) - 1							):
                    if edges[i][2] >= edges[i + 1][2]:
                           lowercase__			:		Union[str, Any]       =	edges[i][2] + 1
             for edge in edges:
                    lowercase__    ,      lowercase__    ,      lowercase__			:		Union[str, Any]       =	edge
                    lowercase__			:		Dict       =	weight
                    lowercase__			:		Optional[int]       =	weight


      def __str__(   self							)       ->					Dict:
             lowercase__			:		Any       =	''
             for tail in self.adjacency:
                    for head in self.adjacency[tail]:
                           lowercase__			:		List[Any]       =	self.adjacency[head][tail]
                           string += f"""{head} -> {tail} == {weight}\n"""
             return string.rstrip('\n'							)


      def 		_UpperCAmelCase       (   self							)       ->					Union[str, Any]:
             lowercase__			:		Tuple       =	[]
             for tail in self.adjacency:
                    for head in self.adjacency[tail]:
                           output.append((tail, head, self.adjacency[head][tail])							)
             return output


      def 		_UpperCAmelCase       (   self							)       ->					Optional[int]:
             return self.adjacency.keys()


      @staticmethod
      def 		_UpperCAmelCase       (   a=None		,			a=None							)       ->					Dict:
             lowercase__			:		Dict       =	Graph()
             if vertices is None:
                    lowercase__			:		int       =	[]
             if edges is None:
                    lowercase__			:		int       =	[]
             for vertex in vertices:
                    g.add_vertex(a							)
             for edge in edges:
                    g.add_edge(*a							)
             return g


      class      UpperCAmelCase_	:


            def __init__(   self							)       ->					List[Any]:
                   lowercase__			:		Dict       =	{}
                   lowercase__			:		Optional[Any]       =	{}


            def __len__(   self							)       ->					Union[str, Any]:
                   return len(self.parent							)


            def 		_UpperCAmelCase       (   self		,			a							)       ->					List[Any]:
                   if item in self.parent:
                          return self.find(a							)

                   lowercase__			:		Tuple       =	item
                   lowercase__			:		List[Any]       =	0
                   return item


            def 		_UpperCAmelCase       (   self		,			a							)       ->					Optional[Any]:
                   if item not in self.parent:
                          return self.make_set(a							)
                   if item != self.parent[item]:
                          lowercase__			:		Union[str, Any]       =	self.find(self.parent[item]							)
                   return self.parent[item]


            def 		_UpperCAmelCase       (   self		,			a		,			a							)       ->					List[str]:
                   lowercase__			:		str       =	self.find(a							)
                   lowercase__			:		List[Any]       =	self.find(a							)

                   if roota == roota:
                          return roota

                   if self.rank[roota] > self.rank[roota]:
                          lowercase__			:		List[Any]       =	roota
                          return roota

                   if self.rank[roota] < self.rank[roota]:
                          lowercase__			:		Optional[Any]       =	roota
                          return roota

                   if self.rank[roota] == self.rank[roota]:
                          self.rank[roota] += 1
                          lowercase__			:		Optional[int]       =	roota
                          return roota
                   return None





      @staticmethod
      def 		_UpperCAmelCase       (   a							)       ->					List[Any]:
             lowercase__			:		List[Any]       =	graph.num_vertices

             lowercase__			:		Dict       =	Graph.UnionFind()
             lowercase__			:		Optional[Any]       =	[]
             while num_components > 1:
                    lowercase__			:		Any       =	{}
                    for vertex in graph.get_vertices():
                           lowercase__			:		str       =	-1

                    lowercase__			:		Dict       =	graph.get_edges()
                    for edge in edges:
                           lowercase__    ,      lowercase__    ,      lowercase__			:		Optional[Any]       =	edge
                           edges.remove((tail, head, weight)							)
                    for edge in edges:
                           lowercase__    ,      lowercase__    ,      lowercase__			:		Optional[int]       =	edge
                           lowercase__			:		List[str]       =	union_find.find(a							)
                           lowercase__			:		List[Any]       =	union_find.find(a							)
                           if seta != seta:
                                  if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                                         lowercase__			:		List[Any]       =	[head, tail, weight]

                                  if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
                                         lowercase__			:		Optional[Any]       =	[head, tail, weight]
                    for vertex in cheap_edge:
                           if cheap_edge[vertex] != -1:
                                  lowercase__    ,      lowercase__    ,      lowercase__			:		Tuple       =	cheap_edge[vertex]
                                  if union_find.find(a							) != union_find.find(a							):
                                         union_find.union(a		,			a							)
                                         mst_edges.append(cheap_edge[vertex]							)
                                         lowercase__			:		List[Any]       =	num_components - 1
             lowercase__			:		Optional[int]       =	Graph.build(edges=a							)
             return mst







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							(   UpperCamelCase__		):

     def __init__(  self		,     _a		,     _a		,     _a = None		,     _a = None		,     _a = False		,     **_a		,     )						->							int:
           super().__init__(features=_a		,     cache_dir=_a		,     keep_in_memory=_a		,     **_a				)
           _A							:     Optional[int]			=						Sql(
               cache_dir=_a		,     features=_a		,     sql=_a		,     con=_a		,     **_a		,     )



     def 					a__	(  self				)						->							Optional[Any]:
           _A							:     Tuple			=						None
           _A							:     int			=						None
           _A							:     Tuple			=						None
           _A							:     Union[str, Any]			=						None

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

           # Build dataset for splits
           _A							:     int			=						self.builder.as_dataset(
               split="""train"""		,     verification_mode=_a		,     in_memory=self.keep_in_memory				)
           return dataset







class 						lowercase							:

     def __init__(  self		,     _a		,     _a		,     _a		,     _a = None		,     _a = None		,     **_a		,     )						->							Union[str, Any]:
           if num_proc is not None and num_proc <= 0:
                 raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''				)

           _A							:     Dict			=						dataset
           _A							:     int			=						name
           _A							:     Union[str, Any]			=						con
           _A							:     str			=						batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
           _A							:     str			=						num_proc
           _A							:     Optional[Any]			=						to_sql_kwargs

     def 					a__	(  self				)						->							int:
           _A							:     Any			=						self.to_sql_kwargs.pop("""sql"""		,     _a				)
           _A							:     List[str]			=						self.to_sql_kwargs.pop("""con"""		,     _a				)
           _A							:     int			=						self.to_sql_kwargs.pop("""index"""		,     _a				)

           _A							:     List[str]			=						self._write(index=_a		,     **self.to_sql_kwargs				)
           return written

     def 					a__	(  self		,     _a				)						->							Optional[int]:
           _A			,   _A			,   _A							:     List[str]			=						args
           _A							:     int			=						{**to_sql_kwargs, """if_exists""": """append"""} if offset > 0 else to_sql_kwargs
           _A							:     str			=						query_table(
               table=self.dataset.data		,     key=slice(_a		,     offset + self.batch_size				)		,     indices=self.dataset._indices		,     )
           _A							:     Tuple			=						batch.to_pandas()
           _A							:     Union[str, Any]			=						df.to_sql(self.name		,     self.con		,     index=_a		,     **_a				)
           return num_rows or len(_a				)



     def 					a__	(  self		,     _a		,     **_a				)						->							int:
           _A							:     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		,     _a		,     _a				)]		,     )		,     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

