import csv
import os

import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.csv import CsvDatasetReader, CsvDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases


def 					__lowerCAmelCase			(  _A ,_A					):



							"""simple docstring"""


							assert isinstance(_A ,_A					)
							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


@pytest.mark.parametrize("""keep_in_memory""" ,[False, True]					)
def 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
														_lowercase				=	CsvDatasetReader(_A ,cache_dir=_A ,keep_in_memory=_A					).read()
							_check_csv_dataset(_A ,_A					)


@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 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							# CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							_lowercase				=	features.copy() if features else default_expected_features
							_lowercase				=	(
							    Features({feature: Value(_A					) for feature, dtype in features.items()}					) if features is not None else None
							)
							_lowercase				=	CsvDatasetReader(_A ,features=_A ,cache_dir=_A					).read()
							_check_csv_dataset(_A ,_A					)


@pytest.mark.parametrize("""split""" ,[None, NamedSplit("""train"""					), """train""", """test"""]					)
def 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							_lowercase				=	CsvDatasetReader(_A ,cache_dir=_A ,split=_A					).read()
							_check_csv_dataset(_A ,_A					)
							assert dataset.split == split if split else "train"


@pytest.mark.parametrize("""path_type""" ,[str, list]					)
def 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							if issubclass(_A ,_A					):
														_lowercase				=	csv_path
							elif issubclass(_A ,_A					):
														_lowercase				=	[csv_path]
							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							_lowercase				=	CsvDatasetReader(_A ,cache_dir=_A					).read()
							_check_csv_dataset(_A ,_A					)


def 					__lowerCAmelCase			(  _A ,_A ,_A=("train",)					):



							"""simple docstring"""


							assert isinstance(_A ,_A					)
							for split in splits:
														_lowercase				=	dataset_dict[split]
														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


@pytest.mark.parametrize("""keep_in_memory""" ,[False, True]					)
def 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
														_lowercase				=	CsvDatasetReader({"""train""": csv_path} ,cache_dir=_A ,keep_in_memory=_A					).read()
							_check_csv_datasetdict(_A ,_A					)


@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 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							# CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							_lowercase				=	features.copy() if features else default_expected_features
							_lowercase				=	(
							    Features({feature: Value(_A					) for feature, dtype in features.items()}					) if features is not None else None
							)
							_lowercase				=	CsvDatasetReader({"""train""": csv_path} ,features=_A ,cache_dir=_A					).read()
							_check_csv_datasetdict(_A ,_A					)


@pytest.mark.parametrize("""split""" ,[None, NamedSplit("""train"""					), """train""", """test"""]					)
def 					__lowerCAmelCase			(  _A ,_A ,_A					):



							"""simple docstring"""


							if split:
														_lowercase				=	{split: csv_path}
							else:
														_lowercase				=	{"""train""": csv_path, """test""": csv_path}
							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	{"""col_1""": """int64""", """col_2""": """int64""", """col_3""": """float64"""}
							_lowercase				=	CsvDatasetReader(_A ,cache_dir=_A					).read()
							_check_csv_datasetdict(_A ,_A ,splits=list(path.keys()					)					)
							assert all(dataset[split].split == split for split in path.keys()					)


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							with open(_A ,encoding="""utf-8"""					) as csvfile:
														yield from csv.reader(_A					)


def 					__lowerCAmelCase			(  _A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	os.path.join(_A ,"""tmp.csv"""					)
							_lowercase				=	CsvDatasetReader({"""train""": csv_path} ,cache_dir=_A					).read()
							CsvDatasetWriter(dataset["""train"""] ,_A ,num_proc=1					).write()

							_lowercase				=	iter_csv_file(_A					)
							_lowercase				=	iter_csv_file(_A					)

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


def 					__lowerCAmelCase			(  _A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	os.path.join(_A ,"""tmp.csv"""					)
							_lowercase				=	CsvDatasetReader({"""train""": csv_path} ,cache_dir=_A					).read()
							CsvDatasetWriter(dataset["""train"""] ,_A ,num_proc=2					).write()

							_lowercase				=	iter_csv_file(_A					)
							_lowercase				=	iter_csv_file(_A					)

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







def 					__lowerCAmelCase			(  _A ,_A					):



							"""simple docstring"""


							_lowercase				=	tmp_path / """cache"""
							_lowercase				=	os.path.join(_A ,"""tmp.csv"""					)
							_lowercase				=	CsvDatasetReader({"""train""": csv_path} ,cache_dir=_A					).read()
							with pytest.raises(_A					):
														CsvDatasetWriter(dataset["""train"""] ,_A ,num_proc=0					)



import math
from timeit import timeit


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							_lowercase				=	0
							_lowercase				=	abs(_A					)
							while True:
														_lowercase				=	n // 10
														digits += 1
														if n == 0:
																					break
							return digits


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							return 1 if n == 0 else math.floor(math.log(abs(_A					) ,10					) + 1					)


def 					__lowerCAmelCase			(  _A					):



							"""simple docstring"""


							return len(str(abs(_A					)					)					)


def 					__lowerCAmelCase			(  ):



							"""simple docstring"""


							from collections.abc import Callable

							def benchmark_a_function(_A ,_A					) -> None:
														_lowercase				=	f'''{func.__name__}({value})'''
														_lowercase				=	timeit(f'''__main__.{call}''' ,setup="""import __main__"""					)
														print(f'''{call}: {func(_A					)} -- {timing} seconds'''					)

							for value in (262_144, 1_125_899_906_842_624, 1_267_650_600_228_229_401_496_703_205_376):
														for func in (num_digits, num_digits_fast, num_digits_faster):
																					benchmark_a_function(_A ,_A					)
														print()


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				benchmark()


