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

def lowercase_  (   _snake_case						):
							with contextlib.closing(sqlitea.connect(_snake_case						)						) as con:
														SCREAMING_SNAKE_CASE__						:       Optional[int]           =   con.cursor()
														cur.execute("""SELECT * FROM dataset"""						)
														for row in cur:
																					yield row

@require_sqlalchemy
def lowercase_  (   _snake_case   ,_snake_case   ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:       List[str]           =   tmp_path / """cache"""
							SCREAMING_SNAKE_CASE__						:       Any           =   os.path.join(_snake_case   ,"""tmp.sql"""						)
							SCREAMING_SNAKE_CASE__						:       Dict           =   SqlDatasetReader("""dataset"""   ,"""sqlite:///""" + sqlite_path   ,cache_dir=_snake_case						).read()
							SqlDatasetWriter(_snake_case   ,"""dataset"""   ,"""sqlite:///""" + output_sqlite_path   ,num_proc=1						).write()

							SCREAMING_SNAKE_CASE__						:       List[str]           =   iter_sql_file(_snake_case						)
							SCREAMING_SNAKE_CASE__						:       int           =   iter_sql_file(_snake_case						)

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

@require_sqlalchemy
def lowercase_  (   _snake_case   ,_snake_case   ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:       List[str]           =   tmp_path / """cache"""
							SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   os.path.join(_snake_case   ,"""tmp.sql"""						)
							SCREAMING_SNAKE_CASE__						:       int           =   SqlDatasetReader("""dataset"""   ,"""sqlite:///""" + sqlite_path   ,cache_dir=_snake_case						).read()
							SqlDatasetWriter(_snake_case   ,"""dataset"""   ,"""sqlite:///""" + output_sqlite_path   ,num_proc=2						).write()

							SCREAMING_SNAKE_CASE__						:       Any           =   iter_sql_file(_snake_case						)
							SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   iter_sql_file(_snake_case						)

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

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






"""simple docstring"""




import mpmath  # for roots of unity
import numpy as np



class 	lowerCAmelCase_						:


				"""simple docstring"""



				def __init__(self   ,       SCREAMING_SNAKE_CASE__=None   ,       SCREAMING_SNAKE_CASE__=None    )					->		Dict:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   list(poly_a or [0]    )[:]
											SCREAMING_SNAKE_CASE__						:       Tuple           =   list(poly_b or [0]    )[:]

											# Remove leading zero coefficients
											while self.polyA[-1] == 0:
																		self.polyA.pop()
											SCREAMING_SNAKE_CASE__						:       int           =   len(self.polyA    )

											while self.polyB[-1] == 0:
																		self.polyB.pop()
											SCREAMING_SNAKE_CASE__						:       List[str]           =   len(self.polyB    )

											# Add 0 to make lengths equal a power of 2
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   int(
											    2 ** np.ceil(np.loga(len(self.polyA    ) + len(self.polyB    ) - 1    )    )    )

											while len(self.polyA    ) < self.c_max_length:
																		self.polyA.append(0    )
											while len(self.polyB    ) < self.c_max_length:
																		self.polyB.append(0    )
											# A complex root used for the fourier transform
											SCREAMING_SNAKE_CASE__						:       List[str]           =   complex(mpmath.root(x=1   ,       n=self.c_max_length   ,       k=1    )    )

											# The product
											SCREAMING_SNAKE_CASE__						:       Tuple           =   self.__multiply()



				def 	__magic_name__    (self   ,       SCREAMING_SNAKE_CASE__    )					->		Union[str, Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       str           =   [[x] for x in self.polyA] if which == """A""" else [[x] for x in self.polyB]
											# Corner case
											if len(SCREAMING_SNAKE_CASE__    ) <= 1:
																		return dft[0]
											#
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   self.c_max_length // 2
											while next_ncol > 0:
																		SCREAMING_SNAKE_CASE__						:       Any           =   [[] for i in range(SCREAMING_SNAKE_CASE__    )]
																		SCREAMING_SNAKE_CASE__						:       Tuple           =   self.root**next_ncol

																		# First half of next step
																		SCREAMING_SNAKE_CASE__						:       str           =   1
																		for j in range(self.c_max_length // (next_ncol * 2)    ):
																									for i in range(SCREAMING_SNAKE_CASE__    ):
																																new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]    )
																									current_root *= root
																		# Second half of next step
																		SCREAMING_SNAKE_CASE__						:       int           =   1
																		for j in range(self.c_max_length // (next_ncol * 2)    ):
																									for i in range(SCREAMING_SNAKE_CASE__    ):
																																new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]    )
																									current_root *= root
																		# Update
																		SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   new_dft
																		SCREAMING_SNAKE_CASE__						:       Tuple           =   next_ncol // 2
											return dft[0]



				def 	__magic_name__    (self    )					->		int:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   self.__dft("""A"""    )
											SCREAMING_SNAKE_CASE__						:       Dict           =   self.__dft("""B"""    )
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   [[dft_a[i] * dft_b[i] for i in range(self.c_max_length    )]]
											del dft_a
											del dft_b

											# Corner Case
											if len(inverce_c[0]    ) <= 1:
																		return inverce_c[0]
											# Inverse DFT
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   2
											while next_ncol <= self.c_max_length:
																		SCREAMING_SNAKE_CASE__						:       List[str]           =   [[] for i in range(SCREAMING_SNAKE_CASE__    )]
																		SCREAMING_SNAKE_CASE__						:       Tuple           =   self.root ** (next_ncol // 2)
																		SCREAMING_SNAKE_CASE__						:       Any           =   1
																		# First half of next step
																		for j in range(self.c_max_length // next_ncol    ):
																									for i in range(next_ncol // 2    ):
																																# Even positions
																																new_inverse_c[i].append(
																																    (
																																        inverce_c[i][j]
																																        + inverce_c[i][j + self.c_max_length // next_ncol]
																																    )
																																    / 2    )
																																# Odd positions
																																new_inverse_c[i + next_ncol // 2].append(
																																    (
																																        inverce_c[i][j]
																																        - inverce_c[i][j + self.c_max_length // next_ncol]
																																    )
																																    / (2 * current_root)    )
																									current_root *= root
																		# Update
																		SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   new_inverse_c
																		next_ncol *= 2
											# Unpack
											SCREAMING_SNAKE_CASE__						:       Optional[Any]           =   [round(x[0].real   ,       8    ) + round(x[0].imag   ,       8    ) * 1j for x in inverce_c]

											# Remove leading 0's
											while inverce_c[-1] == 0:
																		inverce_c.pop()
											return inverce_c



				def __str__(self    )					->		List[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       List[str]           =   """A = """ + """ + """.join(
											    F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyA[: self.len_A]    )    )
											SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   """B = """ + """ + """.join(
											    F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyB[: self.len_B]    )    )
											SCREAMING_SNAKE_CASE__						:       int           =   """A*B = """ + """ + """.join(
											    F'''{coef}*x^{i}''' for coef, i in enumerate(self.product    )    )

											return F'''{a}\n{b}\n{c}'''


# Unit tests
if __name__ == "__main__":
					import doctest

					doctest.testmod()




