



'''simple docstring'''

from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass


@dataclass
class 						a__  :
	__magic_name__		:     int
	__magic_name__		:     int



class 						a__  :


	def __init__(self			:			str,       __UpperCAmelCase			:			List[str]   )  ->      Optional[int]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    list[list[Edge]]          =			[[] for _ in range(lowerCamelCase__   )]
					SCREAMING_SNAKE_CASE	:    Any          =			size


	def __getitem__(self			:			Any,       __UpperCAmelCase			:			Dict   )  ->      Any:

					"""simple docstring"""

					return iter(self._graph[vertex]   )


	@property
	def 					lowercase__	(self			:			Optional[int]   )  ->      List[Any]:

					"""simple docstring"""

					return self._size


	def 					lowercase__	(self			:			List[Any],       __UpperCAmelCase			:			List[Any],       __UpperCAmelCase			:			List[str],       __UpperCAmelCase			:			Tuple   )  ->      Union[str, Any]:

					"""simple docstring"""

					if weight not in (0, 1):
									raise ValueError('''Edge weight must be either 0 or 1.'''   )

					if to_vertex < 0 or to_vertex >= self.size:
									raise ValueError('''Vertex indexes must be in [0; size).'''   )

					self._graph[from_vertex].append(Edge(lowerCamelCase__,       lowerCamelCase__   )   )






	def 					lowercase__	(self			:			Dict,       __UpperCAmelCase			:			str,       __UpperCAmelCase			:			Dict   )  ->      List[str]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE	:    Any          =			deque([start_vertex]   )
					SCREAMING_SNAKE_CASE	:    list[int | None]          =			[None] * self.size
					SCREAMING_SNAKE_CASE	:    Optional[Any]          =			0

					while queue:
									SCREAMING_SNAKE_CASE	:    Tuple          =			queue.popleft()
									SCREAMING_SNAKE_CASE	:    str          =			distances[current_vertex]
									if current_distance is None:
													continue

									for edge in self[current_vertex]:
													SCREAMING_SNAKE_CASE	:    Optional[Any]          =			current_distance + edge.weight
													SCREAMING_SNAKE_CASE	:    Union[str, Any]          =			distances[edge.destination_vertex]
													if (
													    isinstance(lowerCamelCase__,       lowerCamelCase__   )
													    and new_distance >= dest_vertex_distance
													):
																	continue
													SCREAMING_SNAKE_CASE	:    str          =			new_distance
													if edge.weight == 0:
																	queue.appendleft(edge.destination_vertex   )
													else:
																	queue.append(edge.destination_vertex   )

					if distances[finish_vertex] is None:
									raise ValueError('''No path from start_vertex to finish_vertex.'''   )

					return distances[finish_vertex]


if __name__ == "__main__":
	import doctest

	doctest.testmod()





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 		snake_case__	(		lowercase							,				lowercase					):
   assert isinstance(lowercase							,				lowercase					)
   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 		snake_case__	(		lowercase							,				lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							Any       =	tmp_path / "cache"
   lowerCAmelCase_:							int       =	{"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_:							Optional[int]       =	SqlDatasetReader(
          "dataset"							,				"sqlite:///" + sqlite_path							,				cache_dir=lowercase							,				keep_in_memory=lowercase					).read()
   _check_sql_dataset(lowercase							,				lowercase					)
@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 		snake_case__	(		lowercase							,				lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							List[str]       =	tmp_path / "cache"
   lowerCAmelCase_:							int       =	{"col_1": "string", "col_2": "int64", "col_3": "float64"}
   lowerCAmelCase_:							List[str]       =	features.copy() if features else default_expected_features
   lowerCAmelCase_:							Any       =	(
       Features({feature: Value(lowercase					) for feature, dtype in features.items()}					) if features is not None else None
   )
   lowerCAmelCase_:							int       =	SqlDatasetReader("dataset"							,				"sqlite:///" + sqlite_path							,				features=lowercase							,				cache_dir=lowercase					).read()
   _check_sql_dataset(lowercase							,				lowercase					)
def 		snake_case__	(		lowercase					):
   with contextlib.closing(sqlitea.connect(lowercase					)					) as con:
      lowerCAmelCase_:							Any       =	con.cursor()
      cur.execute("SELECT * FROM dataset"					)
      for row in cur:
         yield row
@require_sqlalchemy
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							Optional[int]       =	tmp_path / "cache"
   lowerCAmelCase_:							Optional[Any]       =	os.path.join(lowercase							,				"tmp.sql"					)
   lowerCAmelCase_:							str       =	SqlDatasetReader("dataset"							,				"sqlite:///" + sqlite_path							,				cache_dir=lowercase					).read()
   SqlDatasetWriter(lowercase							,				"dataset"							,				"sqlite:///" + output_sqlite_path							,				num_proc=1					).write()

   lowerCAmelCase_:							Union[str, Any]       =	iter_sql_file(lowercase					)
   lowerCAmelCase_:							str       =	iter_sql_file(lowercase					)

   for rowa, rowa in zip(lowercase							,				lowercase					):
      assert rowa == rowa
@require_sqlalchemy
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							str       =	tmp_path / "cache"
   lowerCAmelCase_:							Optional[int]       =	os.path.join(lowercase							,				"tmp.sql"					)
   lowerCAmelCase_:							Optional[Any]       =	SqlDatasetReader("dataset"							,				"sqlite:///" + sqlite_path							,				cache_dir=lowercase					).read()
   SqlDatasetWriter(lowercase							,				"dataset"							,				"sqlite:///" + output_sqlite_path							,				num_proc=2					).write()

   lowerCAmelCase_:							Optional[Any]       =	iter_sql_file(lowercase					)
   lowerCAmelCase_:							Optional[int]       =	iter_sql_file(lowercase					)

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







@require_sqlalchemy
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							Union[str, Any]       =	tmp_path / "cache"
   lowerCAmelCase_:							int       =	os.path.join(lowercase							,				"tmp.sql"					)
   lowerCAmelCase_:							Any       =	SqlDatasetReader("dataset"							,				"sqlite:///" + sqlite_path							,				cache_dir=lowercase					).read()
   with pytest.raises(lowercase					):
      SqlDatasetWriter(lowercase							,				"dataset"							,				"sqlite:///" + output_sqlite_path							,				num_proc=0					).write()