


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 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     Optional[Any]:







 """simple docstring"""


 assert isinstance(UpperCamelCase_	,		UpperCamelCase_		)
 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 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     List[str]:







 """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(UpperCamelCase_	,		cache_dir=UpperCamelCase_	,		keep_in_memory=UpperCamelCase_		).read()
 _check_csv_dataset(UpperCamelCase_	,		UpperCamelCase_		)
@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_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     Any:







 """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(UpperCamelCase_		) for feature, dtype in features.items()}		) if features is not None else None
 )
 _lowercase				 =CsvDatasetReader(UpperCamelCase_	,		features=UpperCamelCase_	,		cache_dir=UpperCamelCase_		).read()
 _check_csv_dataset(UpperCamelCase_	,		UpperCamelCase_		)
@pytest.mark.parametrize('''split'''	,		[None, NamedSplit('''train'''		), '''train''', '''test''']		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     str:







 """simple docstring"""


 _lowercase				 =tmp_path / 'cache'
 _lowercase				 ={'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
 _lowercase				 =CsvDatasetReader(UpperCamelCase_	,		cache_dir=UpperCamelCase_	,		split=UpperCamelCase_		).read()
 _check_csv_dataset(UpperCamelCase_	,		UpperCamelCase_		)
 assert dataset.split == split if split else "train"
@pytest.mark.parametrize('''path_type'''	,		[str, list]		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     Optional[int]:







 """simple docstring"""


 if issubclass(UpperCamelCase_	,		UpperCamelCase_		):
  _lowercase				 =csv_path
 elif issubclass(UpperCamelCase_	,		UpperCamelCase_		):
  _lowercase				 =[csv_path]
 _lowercase				 =tmp_path / 'cache'
 _lowercase				 ={'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
 _lowercase				 =CsvDatasetReader(UpperCamelCase_	,		cache_dir=UpperCamelCase_		).read()
 _check_csv_dataset(UpperCamelCase_	,		UpperCamelCase_		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case=("train",)		)	->     Dict:







 """simple docstring"""


 assert isinstance(UpperCamelCase_	,		UpperCamelCase_		)
 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 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     Optional[int]:







 """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=UpperCamelCase_	,		keep_in_memory=UpperCamelCase_		).read()
 _check_csv_datasetdict(UpperCamelCase_	,		UpperCamelCase_		)
@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_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     Tuple:







 """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(UpperCamelCase_		) for feature, dtype in features.items()}		) if features is not None else None
 )
 _lowercase				 =CsvDatasetReader({'''train''': csv_path}	,		features=UpperCamelCase_	,		cache_dir=UpperCamelCase_		).read()
 _check_csv_datasetdict(UpperCamelCase_	,		UpperCamelCase_		)
@pytest.mark.parametrize('''split'''	,		[None, NamedSplit('''train'''		), '''train''', '''test''']		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     List[Any]:







 """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(UpperCamelCase_	,		cache_dir=UpperCamelCase_		).read()
 _check_csv_datasetdict(UpperCamelCase_	,		UpperCamelCase_	,		splits=list(path.keys()		)		)
 assert all(dataset[split].split == split for split in path.keys()		)
def 							UpperCAmelCase_   (				__snake_case		)	->     Dict:







 """simple docstring"""


 with open(UpperCamelCase_	,		encoding='''utf-8'''		) as csvfile:
  yield from csv.reader(UpperCamelCase_		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     Dict:







 """simple docstring"""


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

 _lowercase				 =iter_csv_file(UpperCamelCase_		)
 _lowercase				 =iter_csv_file(UpperCamelCase_		)

 for rowa, rowa in zip(UpperCamelCase_	,		UpperCamelCase_		):
  assert rowa == rowa
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     Optional[Any]:







 """simple docstring"""


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

 _lowercase				 =iter_csv_file(UpperCamelCase_		)
 _lowercase				 =iter_csv_file(UpperCamelCase_		)

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



def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     int:







 """simple docstring"""


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









"""simple docstring"""


import math




def 					a			(  UpperCamelCase_				:					int		)	->		str:
 if number == 0:
  __A						:							Dict      =						'Zero'
  return words
 else:
  __A						:							List[str]      =						math.logaa(UpperCamelCase_		)
  __A						:							Union[str, Any]      =						digits + 1
  __A						:							List[str]      =						{}
  __A						:							int      =						''
  __A						:							Any      =						'One'
  __A						:							Tuple      =						'Two'
  __A						:							Any      =						'Three'
  __A						:							Any      =						'Four'
  __A						:							Optional[Any]      =						'Five'
  __A						:							List[Any]      =						'Six'
  __A						:							List[Any]      =						'Seven'
  __A						:							Dict      =						'Eight'
  __A						:							Union[str, Any]      =						'Nine'

  __A						:							List[Any]      =						{}
  __A						:							Tuple      =						''
  __A						:							List[Any]      =						'Twenty'
  __A						:							Optional[Any]      =						'Thirty'
  __A						:							Any      =						'Forty'
  __A						:							Optional[int]      =						'Fifty'
  __A						:							Dict      =						'Sixty'
  __A						:							Dict      =						'Seventy'
  __A						:							Optional[Any]      =						'Eighty'
  __A						:							Any      =						'Ninety'

  __A						:							int      =						{}
  __A						:							List[str]      =						'Ten'
  __A						:							Optional[Any]      =						'Eleven'
  __A						:							Dict      =						'Twelve'
  __A						:							Union[str, Any]      =						'Thirteen'
  __A						:							Union[str, Any]      =						'Fourteen'
  __A						:							Dict      =						'Fifteen'
  __A						:							str      =						'Sixteen'
  __A						:							str      =						'Seventeen'
  __A						:							Union[str, Any]      =						'Eighteen'
  __A						:							Union[str, Any]      =						'Nineteen'

  __A						:							Optional[Any]      =						{}
  __A						:							Optional[int]      =						'Hundred,'
  __A						:							Union[str, Any]      =						'Thousand,'
  __A						:							Union[str, Any]      =						'Lakh,'
  __A						:							Union[str, Any]      =						'Crore,'

  __A						:							Optional[Any]      =						number
  __A						:							Optional[Any]      =						''
  __A						:							List[str]      =						0
  __A						:							List[str]      =						int(UpperCamelCase_		)
  while counter < digits:
   __A						:							Any      =						temp_num % 1_0
   if counter % 2 == 0:
    __A						:							Optional[Any]      =						''
    if counter in placevalue and current != 0:
     __A						:							Union[str, Any]      =						placevalue[counter]
    if counter == 2:
     __A						:							Dict      =						singles[current] + addition + words
    elif counter == 0:
     if ((temp_num % 1_0_0) // 1_0) == 1:
      __A						:							Any      =						teens[current] + addition + words
      __A						:							int      =						temp_num // 1_0
      counter += 1
     else:
      __A						:							Optional[Any]      =						singles[current] + addition + words

    else:
     __A						:							str      =						doubles[current] + addition + words

   else:
    if counter == 1:
     if current == 1:
      __A						:							List[Any]      =						teens[number % 1_0] + words
     else:
      __A						:							Union[str, Any]      =						''
      if counter in placevalue:
       __A						:							int      =						placevalue[counter]
      __A						:							Optional[Any]      =						doubles[current] + addition + words
    else:
     __A						:							Any      =						''
     if counter in placevalue:
      if current == 0 and ((temp_num % 1_0_0) // 1_0) == 0:
       __A						:							Optional[int]      =						''
      else:
       __A						:							Optional[int]      =						placevalue[counter]
     if ((temp_num % 1_0_0) // 1_0) == 1:
      __A						:							Dict      =						teens[current] + addition + words
      __A						:							Any      =						temp_num // 1_0
      counter += 1
     else:
      __A						:							List[str]      =						singles[current] + addition + words
   counter += 1
   __A						:							Dict      =						temp_num // 1_0
 return words


if __name__ == "__main__":
   import doctest

   doctest.testmod()





