



'''simple docstring'''





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 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	)				->				Union[str, Any]:
  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

@pytest.mark.parametrize('keep_in_memory'	,[False, True]	)
def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				str:
  __lowerCamelCase	:	Dict   	=			tmp_path / 'cache'
  __lowerCamelCase	:	Optional[int]   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    __lowerCamelCase	:	List[Any]   	=			CsvDatasetReader(lowercase_	,cache_dir=lowercase_	,keep_in_memory=lowercase_	).read()
  _check_csv_dataset(lowercase_	,lowercase_	)

@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 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				List[str]:
  __lowerCamelCase	:	Any   	=			tmp_path / 'cache'
  # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
  __lowerCamelCase	:	Dict   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  __lowerCamelCase	:	List[str]   	=			features.copy() if features else default_expected_features
  __lowerCamelCase	:	Dict   	=			(
      Features({feature: Value(lowercase_	) for feature, dtype in features.items()}	) if features is not None else None
  )
  __lowerCamelCase	:	Optional[int]   	=			CsvDatasetReader(lowercase_	,features=lowercase_	,cache_dir=lowercase_	).read()
  _check_csv_dataset(lowercase_	,lowercase_	)

@pytest.mark.parametrize('split'	,[None, NamedSplit('train'	), 'train', 'test']	)
def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				Optional[Any]:
  __lowerCamelCase	:	str   	=			tmp_path / 'cache'
  __lowerCamelCase	:	List[str]   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  __lowerCamelCase	:	Optional[Any]   	=			CsvDatasetReader(lowercase_	,cache_dir=lowercase_	,split=lowercase_	).read()
  _check_csv_dataset(lowercase_	,lowercase_	)
  assert dataset.split == split if split else "train"

@pytest.mark.parametrize('path_type'	,[str, list]	)
def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				int:

  if issubclass(lowercase_	,lowercase_	):
    __lowerCamelCase	:	Optional[Any]   	=			csv_path
  elif issubclass(lowercase_	,lowercase_	):
    __lowerCamelCase	:	str   	=			[csv_path]
  __lowerCamelCase	:	List[Any]   	=			tmp_path / 'cache'
  __lowerCamelCase	:	Optional[int]   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  __lowerCamelCase	:	Dict   	=			CsvDatasetReader(lowercase_	,cache_dir=lowercase_	).read()
  _check_csv_dataset(lowercase_	,lowercase_	)

def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase=("train",)	)				->				Optional[Any]:
  assert isinstance(lowercase_	,lowercase_	)
  for split in splits:
    __lowerCamelCase	:	Any   	=			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 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				Dict:
  __lowerCamelCase	:	int   	=			tmp_path / 'cache'
  __lowerCamelCase	:	str   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
    __lowerCamelCase	:	Any   	=			CsvDatasetReader({'train': csv_path}	,cache_dir=lowercase_	,keep_in_memory=lowercase_	).read()
  _check_csv_datasetdict(lowercase_	,lowercase_	)

@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 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				Union[str, Any]:
  __lowerCamelCase	:	List[Any]   	=			tmp_path / 'cache'
  # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
  __lowerCamelCase	:	Dict   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  __lowerCamelCase	:	Optional[Any]   	=			features.copy() if features else default_expected_features
  __lowerCamelCase	:	List[Any]   	=			(
      Features({feature: Value(lowercase_	) for feature, dtype in features.items()}	) if features is not None else None
  )
  __lowerCamelCase	:	Optional[Any]   	=			CsvDatasetReader({'train': csv_path}	,features=lowercase_	,cache_dir=lowercase_	).read()
  _check_csv_datasetdict(lowercase_	,lowercase_	)

@pytest.mark.parametrize('split'	,[None, NamedSplit('train'	), 'train', 'test']	)
def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	,_lowerCAmelCase	)				->				Optional[Any]:

  if split:
    __lowerCamelCase	:	int   	=			{split: csv_path}
  else:
    __lowerCamelCase	:	Tuple   	=			{'train': csv_path, 'test': csv_path}
  __lowerCamelCase	:	Any   	=			tmp_path / 'cache'
  __lowerCamelCase	:	Dict   	=			{'col_1': 'int64', 'col_2': 'int64', 'col_3': 'float64'}
  __lowerCamelCase	:	Tuple   	=			CsvDatasetReader(lowercase_	,cache_dir=lowercase_	).read()
  _check_csv_datasetdict(lowercase_	,lowercase_	,splits=list(path.keys()	)	)
  assert all(dataset[split].split == split for split in path.keys()	)

def 	a_					(							_lowerCAmelCase	)				->				List[Any]:

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

def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	)				->				Optional[Any]:
  __lowerCamelCase	:	Tuple   	=			tmp_path / 'cache'
  __lowerCamelCase	:	str   	=			os.path.join(lowercase_	,'tmp.csv'	)
  __lowerCamelCase	:	Union[str, Any]   	=			CsvDatasetReader({'train': csv_path}	,cache_dir=lowercase_	).read()
  CsvDatasetWriter(dataset['train']	,lowercase_	,num_proc=1	).write()

  __lowerCamelCase	:	Optional[int]   	=			iter_csv_file(lowercase_	)
  __lowerCamelCase	:	Optional[int]   	=			iter_csv_file(lowercase_	)

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

def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	)				->				int:
  __lowerCamelCase	:	Any   	=			tmp_path / 'cache'
  __lowerCamelCase	:	Optional[int]   	=			os.path.join(lowercase_	,'tmp.csv'	)
  __lowerCamelCase	:	int   	=			CsvDatasetReader({'train': csv_path}	,cache_dir=lowercase_	).read()
  CsvDatasetWriter(dataset['train']	,lowercase_	,num_proc=2	).write()

  __lowerCamelCase	:	List[Any]   	=			iter_csv_file(lowercase_	)
  __lowerCamelCase	:	int   	=			iter_csv_file(lowercase_	)

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







def 	a_					(							_lowerCAmelCase	,_lowerCAmelCase	)				->				Dict:
  __lowerCamelCase	:	str   	=			tmp_path / 'cache'
  __lowerCamelCase	:	Optional[int]   	=			os.path.join(lowercase_	,'tmp.csv'	)
  __lowerCamelCase	:	List[str]   	=			CsvDatasetReader({'train': csv_path}	,cache_dir=lowercase_	).read()
  with pytest.raises(lowercase_	):
    CsvDatasetWriter(dataset['train']	,lowercase_	,num_proc=0	)











'''simple docstring'''





import unittest

from diffusers import __version__
from diffusers.utils import deprecate






class  lowerCamelCase_   (    unittest.TestCase					):
  """simple docstring"""




  a_							 =""".""".join([str(int(__version__.split("""."""					)[0]					) + 1					)] + __version__.split("""."""					)[1:]					)
  a_							 ="""0.0.1"""




  def 						_lowercase					(			self				:     Optional[Any]       ) -> int:
    __lowerCamelCase	:	Any   	=			{'deprecated_arg': 4}

    with self.assertWarns(_a       ) as warning:
      __lowerCamelCase	:	Optional[int]   	=			deprecate('deprecated_arg'      ,     self.higher_version      ,     'message'      ,     take_from=_a       )

    assert output == 4
    assert (
        str(warning.warning       )
        == f'The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'
        " message"
    )




  def 						_lowercase					(			self				:     Union[str, Any]       ) -> Optional[int]:
    __lowerCamelCase	:	int   	=			{'deprecated_arg': 4}

    with self.assertWarns(_a       ) as warning:
      __lowerCamelCase	:	Optional[Any]   	=			deprecate(('deprecated_arg', self.higher_version, 'message')      ,     take_from=_a       )

    assert output == 4
    assert (
        str(warning.warning       )
        == f'The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'
        " message"
    )




  def 						_lowercase					(			self				:     int       ) -> Optional[Any]:
    __lowerCamelCase	:	Optional[int]   	=			{'deprecated_arg_1': 4, 'deprecated_arg_2': 8}
    with self.assertWarns(_a       ) as warning:
      __lowerCamelCase	,__lowerCamelCase	:	Any   	=			deprecate(
          ('deprecated_arg_1', self.higher_version, 'Hey')      ,     ('deprecated_arg_2', self.higher_version, 'Hey')      ,     take_from=_a      ,     )
    assert output_a == 4
    assert output_a == 8
    assert (
        str(warning.warnings[0].message       )
        == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
        f' {self.higher_version}. Hey'
    )
    assert (
        str(warning.warnings[1].message       )
        == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
        f' {self.higher_version}. Hey'
    )




  def 						_lowercase					(			self				:     str       ) -> Optional[Any]:
    __lowerCamelCase	:	Optional[int]   	=			{'deprecated_arg': 4}

    with self.assertRaises(_a       ) as error:
      deprecate(('wrong_arg', self.higher_version, 'message')      ,     take_from=_a       )

    assert "test_deprecate_function_incorrect_arg in" in str(error.exception       )
    assert "line" in str(error.exception       )
    assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception       )




  def 						_lowercase					(			self				:     Optional[Any]       ) -> Union[str, Any]:
    with self.assertWarns(_a       ) as warning:
      deprecate(('deprecated_arg', self.higher_version, 'message')       )

    assert (
        str(warning.warning       )
        == f'`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message'
    )




  def 						_lowercase					(			self				:     Optional[Any]       ) -> Union[str, Any]:
    with self.assertWarns(_a       ) as warning:
      deprecate(
          ('deprecated_arg_1', self.higher_version, 'Hey')      ,     ('deprecated_arg_2', self.higher_version, 'Hey')      ,     )
    assert (
        str(warning.warnings[0].message       )
        == f'`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey'
    )
    assert (
        str(warning.warnings[1].message       )
        == f'`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey'
    )




  def 						_lowercase					(			self				:     Union[str, Any]       ) -> Dict:






    class  lowerCamelCase_   :
      """simple docstring"""




      a_							 =5

    with self.assertWarns(_a       ) as warning:
      __lowerCamelCase	:	int   	=			deprecate(('arg', self.higher_version, 'message')      ,     take_from=Args()       )

    assert arg == 5
    assert (
        str(warning.warning       )
        == f'The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'
    )




  def 						_lowercase					(			self				:     Dict       ) -> Union[str, Any]:






    class  lowerCamelCase_   :
      """simple docstring"""




      a_							 =5
      a_							 =7

    with self.assertWarns(_a       ) as warning:
      __lowerCamelCase	,__lowerCamelCase	:	List[str]   	=			deprecate(
          ('arg', self.higher_version, 'message')      ,     ('foo', self.higher_version, 'message')      ,     ('does not exist', self.higher_version, 'message')      ,     take_from=Args()      ,     )

    assert arg_a == 5
    assert arg_a == 7
    assert (
        str(warning.warning       )
        == f'The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'
    )
    assert (
        str(warning.warnings[0].message       )
        == f'The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'
    )
    assert (
        str(warning.warnings[1].message       )
        == f'The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message'
    )




  def 						_lowercase					(			self				:     Union[str, Any]       ) -> List[str]:
    __lowerCamelCase	:	Union[str, Any]   	=			{'deprecated_arg': 4}

    with self.assertRaises(_a       ) as error:
      deprecate(('wrong_arg', self.lower_version, 'message')      ,     take_from=_a       )

    assert (
        str(error.exception       )
        == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
        f' {__version__} is >= {self.lower_version}'
    )




  def 						_lowercase					(			self				:     Optional[int]       ) -> str:
    with self.assertWarns(_a       ) as warning:
      deprecate(('deprecated_arg', self.higher_version, 'This message is better!!!')      ,     standard_warn=_a       )

    assert str(warning.warning       ) == "This message is better!!!"




  def 						_lowercase					(			self				:     List[Any]       ) -> Union[str, Any]:
    with self.assertWarns(_a       ) as warning:
      deprecate(('deprecated_arg', self.higher_version, 'This message is better!!!')      ,     standard_warn=_a       )
    assert str(warning.warning       ) == "This message is better!!!"
    assert "diffusers/tests/others/test_utils.py" in warning.filename






