


'''simple docstring'''

class      snake_case    :





  """simple docstring"""




  def __init__(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  0
   lowerCamelCase_      =  0
   lowerCamelCase_      =  {}






  def   snake_case		(    self			,  UpperCamelCase     ):







   """simple docstring"""
   if vertex not in self.adjacency:
    lowerCamelCase_      =  {}
    self.num_vertices += 1






  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase			,  UpperCamelCase     ):







   """simple docstring"""
   self.add_vertex(UpperCamelCase     )
   self.add_vertex(UpperCamelCase     )

   if head == tail:
    return

   lowerCamelCase_      =  weight
   lowerCamelCase_      =  weight






  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  self.get_edges()
   for edge in edges:
    lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  edge
    edges.remove((tail, head, weight)     )
   for i in range(len(UpperCamelCase     )     ):
    lowerCamelCase_      =  list(edges[i]     )

   edges.sort(key=lambda UpperCamelCase     : e[2]     )
   for i in range(len(UpperCamelCase     ) - 1     ):
    if edges[i][2] >= edges[i + 1][2]:
     lowerCamelCase_      =  edges[i][2] + 1
   for edge in edges:
    lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  edge
    lowerCamelCase_      =  weight
    lowerCamelCase_      =  weight






  def __str__(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  ""
   for tail in self.adjacency:
    for head in self.adjacency[tail]:
     lowerCamelCase_      =  self.adjacency[head][tail]
     string += f'''{head} -> {tail} == {weight}\n'''
   return string.rstrip("\n"     )






  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  []
   for tail in self.adjacency:
    for head in self.adjacency[tail]:
     output.append((tail, head, self.adjacency[head][tail])     )
   return output






  def   snake_case		(    self     ):







   """simple docstring"""
   return self.adjacency.keys()






  @staticmethod
  def   snake_case		(    UpperCamelCase=None			,  UpperCamelCase=None     ):







   """simple docstring"""
   lowerCamelCase_      =  Graph()
   if vertices is None:
    lowerCamelCase_      =  []
   if edges is None:
    lowerCamelCase_      =  []
   for vertex in vertices:
    g.add_vertex(UpperCamelCase     )
   for edge in edges:
    g.add_edge(*UpperCamelCase     )
   return g





  class      snake_case    :





    """simple docstring"""




    def __init__(    self     ):







     """simple docstring"""
     lowerCamelCase_      =  {}
     lowerCamelCase_      =  {}






    def __len__(    self     ):







     """simple docstring"""
     return len(self.parent     )






    def   snake_case		(    self			,  UpperCamelCase     ):







     """simple docstring"""
     if item in self.parent:
      return self.find(UpperCamelCase     )

     lowerCamelCase_      =  item
     lowerCamelCase_      =  0
     return item






    def   snake_case		(    self			,  UpperCamelCase     ):







     """simple docstring"""
     if item not in self.parent:
      return self.make_set(UpperCamelCase     )
     if item != self.parent[item]:
      lowerCamelCase_      =  self.find(self.parent[item]     )
     return self.parent[item]







    def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase     ):







     """simple docstring"""
     lowerCamelCase_      =  self.find(UpperCamelCase     )
     lowerCamelCase_      =  self.find(UpperCamelCase     )

     if roota == roota:
      return roota

     if self.rank[roota] > self.rank[roota]:
      lowerCamelCase_      =  roota
      return roota

     if self.rank[roota] < self.rank[roota]:
      lowerCamelCase_      =  roota
      return roota

     if self.rank[roota] == self.rank[roota]:
      self.rank[roota] += 1
      lowerCamelCase_      =  roota
      return roota
     return None






  @staticmethod
  def   snake_case		(    UpperCamelCase     ):







   """simple docstring"""
   lowerCamelCase_      =  graph.num_vertices

   lowerCamelCase_      =  Graph.UnionFind()
   lowerCamelCase_      =  []
   while num_components > 1:
    lowerCamelCase_      =  {}
    for vertex in graph.get_vertices():
     lowerCamelCase_      =  -1

    lowerCamelCase_      =  graph.get_edges()
    for edge in edges:
     lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  edge
     edges.remove((tail, head, weight)     )
    for edge in edges:
     lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  edge
     lowerCamelCase_      =  union_find.find(UpperCamelCase     )
     lowerCamelCase_      =  union_find.find(UpperCamelCase     )
     if seta != seta:
      if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
       lowerCamelCase_      =  [head, tail, weight]

      if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
       lowerCamelCase_      =  [head, tail, weight]
    for vertex in cheap_edge:
     if cheap_edge[vertex] != -1:
      lowerCamelCase_ ,lowerCamelCase_ ,lowerCamelCase_      =  cheap_edge[vertex]
      if union_find.find(UpperCamelCase     ) != union_find.find(UpperCamelCase     ):
       union_find.union(UpperCamelCase			,  UpperCamelCase     )
       mst_edges.append(cheap_edge[vertex]     )
       lowerCamelCase_      =  num_components - 1
   lowerCamelCase_      =  Graph.build(edges=UpperCamelCase     )
   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

