
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 		UpperCamelCase						(   lowercase_			,			lowercase_ )		->						Union[str, Any]:


  '''simple docstring'''






  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 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )		->						List[Any]:


  '''simple docstring'''






  lowercase__	: Tuple     		=   tmp_path / """cache"""
  lowercase__	: Union[str, 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():
    lowercase__	: 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 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_			,			lowercase_ )		->						Dict:


  '''simple docstring'''






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

def 		UpperCamelCase						(   lowercase_ )		->						int:


  '''simple docstring'''






  with contextlib.closing(sqlitea.connect(lowercase_ ) ) as con:
    lowercase__	: str     		=   con.cursor()
    cur.execute("""SELECT * FROM dataset""" )
    for row in cur:
      yield row

@require_sqlalchemy
def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_ )		->						Optional[int]:


  '''simple docstring'''






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

  lowercase__	: Optional[Any]     		=   iter_sql_file(lowercase_ )
  lowercase__	: int     		=   iter_sql_file(lowercase_ )

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

@require_sqlalchemy
def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_ )		->						str:


  '''simple docstring'''






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

  lowercase__	: List[Any]     		=   iter_sql_file(lowercase_ )
  lowercase__	: Tuple     		=   iter_sql_file(lowercase_ )

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



@require_sqlalchemy
def 		UpperCamelCase						(   lowercase_			,			lowercase_			,			lowercase_ )		->						Optional[Any]:


  '''simple docstring'''






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












from __future__ import annotations

from collections.abc import Callable

lowercase__							:	Optional[Any]											=		list[list[float | int]]


def 		lowerCamelCase__       (						_A	,      _A				):







	'''simple docstring'''





	snake_case_						       =	len(_A				)
	snake_case_						       =	[[0 for _ in range(size + 1				)] for _ in range(_A				)]
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42

	for row in range(_A				):
		for col in range(_A				):
			snake_case_						       =	matrix[row][col]

		snake_case_						       =	vector[row][0]

	snake_case_						       =	0
	snake_case_						       =	0
	while row < size and col < size:
		# pivoting
		snake_case_						       =	max((abs(augmented[rowa][col]				), rowa) for rowa in range(_A	,      _A				)				)[
		    1
		]
		if augmented[pivot_row][col] == 0:
			col += 1
			continue
		else:
			snake_case_       , snake_case_						       =	augmented[pivot_row], augmented[row]

		for rowa in range(row + 1	,      _A				):
			snake_case_						       =	augmented[rowa][col] / augmented[row][col]
			snake_case_						       =	0
			for cola in range(col + 1	,      size + 1				):
				augmented[rowa][cola] -= augmented[row][cola] * ratio

		row += 1
		col += 1

	# back substitution
	for col in range(1	,      _A				):
		for row in range(_A				):
			snake_case_						       =	augmented[row][col] / augmented[col][col]
			for cola in range(_A	,      size + 1				):
				augmented[row][cola] -= augmented[col][cola] * ratio

    # round to get rid of numbers like 2.000000000000004
	return [
	    [round(augmented[row][size] / augmented[row][row]	,      10				)] for row in range(_A				)
	]


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	snake_case_						       =	len(_A				)
	snake_case_						       =	[[0 for _ in range(_A				)] for _ in range(_A				)]
	snake_case_						       =	[[0] for _ in range(_A				)]
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42
	snake_case_						       =	42

	for x_val, y_val in enumerate(_A				):
		for col in range(_A				):
			snake_case_						       =	(x_val + 1) ** (size - col - 1)
		snake_case_						       =	y_val

	snake_case_						       =	solve(_A	,      _A				)

	def interpolated_func(_A				) -> int:
		return sum(
		    round(coeffs[x_val][0]				) * (var ** (size - x_val - 1))
		    for x_val in range(_A				)				)

	return interpolated_func


def 		lowerCamelCase__       (						_A				):







	'''simple docstring'''





	return (
	    1
	    - variable
	    + variable**2
	    - variable**3
	    + variable**4
	    - variable**5
	    + variable**6
	    - variable**7
	    + variable**8
	    - variable**9
	    + variable**10
	)


def 		lowerCamelCase__       (						_A = question_function	,      _A = 10				):







	'''simple docstring'''





	snake_case_						       =	[func(_A				) for x_val in range(1	,      order + 1				)]

	snake_case_						       =	[
	    interpolate(data_points[:max_coeff]				) for max_coeff in range(1	,      order + 1				)
	]

	snake_case_						       =	0
	snake_case_						       =	42
	snake_case_						       =	42

	for poly in polynomials:
		snake_case_						       =	1
		while func(_A				) == poly(_A				):
			x_val += 1

		ret += poly(_A				)

	return ret


if __name__ == "__main__":
		print(f'''{solution() = }''')
