
'''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 	snake_case_							(				_a  :				Any			,       _a  :				str      ):
      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 	snake_case_							(				_a  :				List[str]			,       _a  :				List[Any]			,       _a  :				str      ):
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            snake_case_    							=				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 	snake_case_							(				_a  :				Any			,       _a  :				int			,       _a  :				Optional[int]      ):
      snake_case_    							=				tmp_path / "cache"
      # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      snake_case_    							=				features.copy() if features else default_expected_features
      snake_case_    							=				(
          Features({feature: Value(_a      ) for feature, dtype in features.items()}      ) if features is not None else None
      )
      snake_case_    							=				CsvDatasetReader(_a			,       features=_a			,       cache_dir=_a      ).read()
      _check_csv_dataset(_a			,       _a      )
@pytest.mark.parametrize("split"			,       [None, NamedSplit("train"      ), "train", "test"]      )
def 	snake_case_							(				_a  :				Optional[Any]			,       _a  :				Dict			,       _a  :				Tuple      ):
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      snake_case_    							=				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 	snake_case_							(				_a  :				int			,       _a  :				Optional[int]			,       _a  :				Dict      ):
      if issubclass(_a			,       _a      ):
            snake_case_    							=				csv_path
      elif issubclass(_a			,       _a      ):
            snake_case_    							=				[csv_path]
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      snake_case_    							=				CsvDatasetReader(_a			,       cache_dir=_a      ).read()
      _check_csv_dataset(_a			,       _a      )
def 	snake_case_							(				_a  :				Tuple			,       _a  :				str			,       _a  :				List[str]=("train",)      ):
      assert isinstance(_a			,       _a      )
      for split in splits:
            snake_case_    							=				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 	snake_case_							(				_a  :				Any			,       _a  :				int			,       _a  :				Union[str, Any]      ):
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            snake_case_    							=				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 	snake_case_							(				_a  :				Optional[int]			,       _a  :				Optional[int]			,       _a  :				List[str]      ):
      snake_case_    							=				tmp_path / "cache"
      # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      snake_case_    							=				features.copy() if features else default_expected_features
      snake_case_    							=				(
          Features({feature: Value(_a      ) for feature, dtype in features.items()}      ) if features is not None else None
      )
      snake_case_    							=				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 	snake_case_							(				_a  :				str			,       _a  :				List[str]			,       _a  :				List[Any]      ):
      if split:
            snake_case_    							=				{split: csv_path}
      else:
            snake_case_    							=				{"train": csv_path, "test": csv_path}
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				{"col_1": "int64", "col_2": "int64", "col_3": "float64"}
      snake_case_    							=				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 	snake_case_							(				_a  :				List[Any]      ):
      with open(_a			,       encoding="utf-8"      ) as csvfile:
            yield from csv.reader(_a      )
def 	snake_case_							(				_a  :				Optional[Any]			,       _a  :				int      ):
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				os.path.join(_a			,       "tmp.csv"      )
      snake_case_    							=				CsvDatasetReader({"train": csv_path}			,       cache_dir=_a      ).read()
      CsvDatasetWriter(dataset["train"]			,       _a			,       num_proc=1      ).write()

      snake_case_    							=				iter_csv_file(_a      )
      snake_case_    							=				iter_csv_file(_a      )

      for rowa, rowa in zip(_a			,       _a      ):
            assert rowa == rowa
def 	snake_case_							(				_a  :				str			,       _a  :				Dict      ):
      snake_case_    							=				tmp_path / "cache"
      snake_case_    							=				os.path.join(_a			,       "tmp.csv"      )
      snake_case_    							=				CsvDatasetReader({"train": csv_path}			,       cache_dir=_a      ).read()
      CsvDatasetWriter(dataset["train"]			,       _a			,       num_proc=2      ).write()

      snake_case_    							=				iter_csv_file(_a      )
      snake_case_    							=				iter_csv_file(_a      )

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




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



import unittest

from diffusers import __version__
from diffusers.utils import deprecate







class 	A__				(	unittest.TestCase      ):
				lowercase            =    '.'.join([str(int(__version__.split('.'      )[0]      ) + 1      )] + __version__.split('.'      )[1:]      )
				lowercase            =    '0.0.1'






				def 				_lowerCamelCase						(		self   : Dict  ):






							'''simple docstring'''







							lowerCAmelCase__ : Tuple   =						{'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 				_lowerCamelCase						(		self   : Tuple  ):






							'''simple docstring'''







							lowerCAmelCase__ : Dict   =						{'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 				_lowerCamelCase						(		self   : Tuple  ):






							'''simple docstring'''







							lowerCAmelCase__ : Any   =						{'deprecated_arg_1': 4, 'deprecated_arg_2': 8}
							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ ,							lowerCAmelCase__ : List[str]   =						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 				_lowerCamelCase						(		self   : Union[str, Any]  ):






							'''simple docstring'''







							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 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							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 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							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 				_lowerCamelCase						(		self   : Optional[Any]  ):






							'''simple docstring'''







							class 	A__				:
											lowercase            =    5

							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ : List[str]   =						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 				_lowerCamelCase						(		self   : str  ):






							'''simple docstring'''







							class 	A__				:
											lowercase            =    5
											lowercase            =    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 				_lowerCamelCase						(		self   : Union[str, Any]  ):






							'''simple docstring'''







							lowerCAmelCase__ : List[str]   =						{'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 				_lowerCamelCase						(		self   : Dict  ):






							'''simple docstring'''







							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 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							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