


"""simple docstring"""







import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy
def 					a__			(				SCREAMING_SNAKE_CASE    :    int				,      SCREAMING_SNAKE_CASE    :    Dict				):


  '''simple docstring'''







  assert isinstance(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)
  assert dataset.num_rows == 4
  assert dataset.num_columns == 3
  assert dataset.column_names == ["col_1", "col_2", "col_3"]
  for feature, expected_dtype in expected_features.items():
    assert dataset.features[feature].dtype == expected_dtype
@require_sqlalchemy
@pytest.mark.parametrize("keep_in_memory"				,      [False, True]				)
def 					a__			(				SCREAMING_SNAKE_CASE    :    Tuple				,      SCREAMING_SNAKE_CASE    :    str				,      SCREAMING_SNAKE_CASE    :    Union[str, Any]				,      SCREAMING_SNAKE_CASE    :    List[Any]				):


  '''simple docstring'''







  lowerCAmelCase     :     Optional[Any]								=							tmp_path / "cache"
  lowerCAmelCase     :     List[Any]								=							{"col_1": "string", "col_2": "int64", "col_3": "float64"}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    lowerCAmelCase     :     List[str]								=							SqlDatasetReader(
        "dataset"				,      "sqlite:///" + sqlite_path				,      cache_dir=SCREAMING_SNAKE_CASE				,      keep_in_memory=SCREAMING_SNAKE_CASE				).read()
  _check_sql_dataset(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)
@require_sqlalchemy
@pytest.mark.parametrize(
    "features"				,      [
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]				,      )
def 					a__			(				SCREAMING_SNAKE_CASE    :    List[Any]				,      SCREAMING_SNAKE_CASE    :    Any				,      SCREAMING_SNAKE_CASE    :    Any				,      SCREAMING_SNAKE_CASE    :    int				):


  '''simple docstring'''







  lowerCAmelCase     :     Optional[Any]								=							tmp_path / "cache"
  lowerCAmelCase     :     Dict								=							{"col_1": "string", "col_2": "int64", "col_3": "float64"}
  lowerCAmelCase     :     Optional[Any]								=							features.copy() if features else default_expected_features
  lowerCAmelCase     :     Tuple								=							(
      Features({feature: Value(SCREAMING_SNAKE_CASE				) for feature, dtype in features.items()}				) if features is not None else None
  )
  lowerCAmelCase     :     List[Any]								=							SqlDatasetReader("dataset"				,      "sqlite:///" + sqlite_path				,      features=SCREAMING_SNAKE_CASE				,      cache_dir=SCREAMING_SNAKE_CASE				).read()
  _check_sql_dataset(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				)
def 					a__			(				SCREAMING_SNAKE_CASE    :    Optional[Any]				):


  '''simple docstring'''







  with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE				)				) as con:
    lowerCAmelCase     :     int								=							con.cursor()
    cur.execute("SELECT * FROM dataset"				)
    for row in cur:
      yield row
@require_sqlalchemy
def 					a__			(				SCREAMING_SNAKE_CASE    :    Any				,      SCREAMING_SNAKE_CASE    :    Optional[int]				,      SCREAMING_SNAKE_CASE    :    List[Any]				):


  '''simple docstring'''







  lowerCAmelCase     :     Optional[int]								=							tmp_path / "cache"
  lowerCAmelCase     :     Union[str, Any]								=							os.path.join(SCREAMING_SNAKE_CASE				,      "tmp.sql"				)
  lowerCAmelCase     :     Optional[Any]								=							SqlDatasetReader("dataset"				,      "sqlite:///" + sqlite_path				,      cache_dir=SCREAMING_SNAKE_CASE				).read()
  SqlDatasetWriter(SCREAMING_SNAKE_CASE				,      "dataset"				,      "sqlite:///" + output_sqlite_path				,      num_proc=1				).write()

  lowerCAmelCase     :     List[Any]								=							iter_sql_file(SCREAMING_SNAKE_CASE				)
  lowerCAmelCase     :     Tuple								=							iter_sql_file(SCREAMING_SNAKE_CASE				)

  for rowa, rowa in zip(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				):
    assert rowa == rowa
@require_sqlalchemy
def 					a__			(				SCREAMING_SNAKE_CASE    :    Tuple				,      SCREAMING_SNAKE_CASE    :    Optional[int]				,      SCREAMING_SNAKE_CASE    :    List[str]				):


  '''simple docstring'''







  lowerCAmelCase     :     Any								=							tmp_path / "cache"
  lowerCAmelCase     :     Optional[Any]								=							os.path.join(SCREAMING_SNAKE_CASE				,      "tmp.sql"				)
  lowerCAmelCase     :     List[Any]								=							SqlDatasetReader("dataset"				,      "sqlite:///" + sqlite_path				,      cache_dir=SCREAMING_SNAKE_CASE				).read()
  SqlDatasetWriter(SCREAMING_SNAKE_CASE				,      "dataset"				,      "sqlite:///" + output_sqlite_path				,      num_proc=2				).write()

  lowerCAmelCase     :     Any								=							iter_sql_file(SCREAMING_SNAKE_CASE				)
  lowerCAmelCase     :     List[Any]								=							iter_sql_file(SCREAMING_SNAKE_CASE				)

  for rowa, rowa in zip(SCREAMING_SNAKE_CASE				,      SCREAMING_SNAKE_CASE				):
    assert rowa == rowa





@require_sqlalchemy
def 					a__			(				SCREAMING_SNAKE_CASE    :    str				,      SCREAMING_SNAKE_CASE    :    Any				,      SCREAMING_SNAKE_CASE    :    Dict				):


  '''simple docstring'''







  lowerCAmelCase     :     str								=							tmp_path / "cache"
  lowerCAmelCase     :     List[Any]								=							os.path.join(SCREAMING_SNAKE_CASE				,      "tmp.sql"				)
  lowerCAmelCase     :     Any								=							SqlDatasetReader("dataset"				,      "sqlite:///" + sqlite_path				,      cache_dir=SCREAMING_SNAKE_CASE				).read()
  with pytest.raises(SCREAMING_SNAKE_CASE				):
    SqlDatasetWriter(SCREAMING_SNAKE_CASE				,      "dataset"				,      "sqlite:///" + output_sqlite_path				,      num_proc=0				).write()






"""simple docstring"""




from __future__ import annotations

from typing import Generic, TypeVar

__lowerCamelCase							 =     TypeVar("T")
class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self						,__UpperCAmelCase   )    -> None:
													A__		   =							data
													A__		   =							self
													A__		   =							0






class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self   )    -> None:
													# map from node name to the node object
													A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> None:
													# create a new set with x as its member
													A__		   =							DisjointSetTreeNode(__UpperCAmelCase   )





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> DisjointSetTreeNode[T]:
													# find the set x belongs to (with path-compression)
													A__		   =							self.map[data]
													if elem_ref != elem_ref.parent:
																				A__		   =							self.find_set(elem_ref.parent.data   )
													return elem_ref.parent





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# helper function for union operation
													if nodea.rank > nodea.rank:
																				A__		   =							nodea
													else:
																				A__		   =							nodea
																				if nodea.rank == nodea.rank:
																											nodea.rank += 1





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# merge 2 disjoint sets
													self.link(self.find_set(__UpperCAmelCase   )						,self.find_set(__UpperCAmelCase   )   )






class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self   )    -> None:
													# connections: map from the node to the neighbouring nodes (with weights)
													A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> None:
													# add a node ONLY if its not present in the graph
													if node not in self.connections:
																				A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# add an edge with the given weight
													self.add_node(__UpperCAmelCase   )
													self.add_node(__UpperCAmelCase   )
													A__		   =							weight
													A__		   =							weight





						def  snake_case__		(				self   )    -> GraphUndirectedWeighted[T]:
													A__		   =							[]
													A__		   =							set()
													for start in self.connections:
																				for end in self.connections[start]:
																											if (start, end) not in seen:
																																		seen.add((end, start)   )
																																		edges.append((start, end, self.connections[start][end])   )
													edges.sort(key=lambda __UpperCAmelCase   : x[2]   )

													# creating the disjoint set
													A__		   =							DisjointSetTree[T]()
													for node in self.connections:
																				disjoint_set.make_set(__UpperCAmelCase   )

													# MST generation
													A__		   =							0
													A__		   =							0
													A__		   =							GraphUndirectedWeighted[T]()
													while num_edges < len(self.connections   ) - 1:
																				A__   ,     A__   ,     A__		   =							edges[index]
																				index += 1
																				A__		   =							disjoint_set.find_set(__UpperCAmelCase   )
																				A__		   =							disjoint_set.find_set(__UpperCAmelCase   )
																				if parent_u != parent_v:
																											num_edges += 1
																											graph.add_edge(__UpperCAmelCase						,__UpperCAmelCase						,__UpperCAmelCase   )
																											disjoint_set.union(__UpperCAmelCase						,__UpperCAmelCase   )
													return graph





