
"""simple docstring"""





import io
import json

import fsspec
import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.json import JsonDatasetReader, JsonDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						Tuple:


					"""simple docstring"""





					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



@pytest.mark.parametrize('''keep_in_memory''',	[False, True]      )
def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
										_UpperCamelCase									=    JsonDatasetReader(__snake_case,	cache_dir=__snake_case,	keep_in_memory=__snake_case      ).read()
					_check_json_dataset(__snake_case,	__snake_case      )



@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__						(     __snake_case,	__snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					_UpperCamelCase									=    features.copy() if features else default_expected_features
					_UpperCamelCase									=    (
					    Features({feature: Value(__snake_case      ) for feature, dtype in features.items()}      ) if features is not None else None
					)
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	features=__snake_case,	cache_dir=__snake_case      ).read()
					_check_json_dataset(__snake_case,	__snake_case      )



@pytest.mark.parametrize(
    '''features''',	[
        None,
        {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''},
    ],	)
def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						Dict:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''}
					_UpperCamelCase									=    features.copy() if features else default_expected_features
					_UpperCamelCase									=    (
					    Features({feature: Value(__snake_case      ) for feature, dtype in features.items()}      ) if features is not None else None
					)
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	features=__snake_case,	cache_dir=__snake_case      ).read()
					assert isinstance(__snake_case,	__snake_case      )
					assert dataset.num_rows == 2
					assert dataset.num_columns == 3
					assert dataset.column_names == ["col_3", "col_1", "col_2"]
					for feature, expected_dtype in expected_features.items():
										assert dataset.features[feature].dtype == expected_dtype



def  lowerCamelCase__						(     __snake_case,	__snake_case      )				->						int:


					"""simple docstring"""





					_UpperCamelCase									=    {'''col_2''': '''int64''', '''col_3''': '''float64''', '''col_1''': '''string'''}
					_UpperCamelCase									=    features.copy()
					_UpperCamelCase									=    (
					    Features({feature: Value(__snake_case      ) for feature, dtype in features.items()}      ) if features is not None else None
					)
					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	features=__snake_case,	cache_dir=__snake_case      ).read()
					assert isinstance(__snake_case,	__snake_case      )
					assert dataset.num_rows == 2
					assert dataset.num_columns == 3
					assert dataset.column_names == ["col_2", "col_3", "col_1"]
					for feature, expected_dtype in expected_features.items():
										assert dataset.features[feature].dtype == expected_dtype



@pytest.mark.parametrize('''split''',	[None, NamedSplit('''train'''      ), '''train''', '''test''']      )
def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						Dict:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	cache_dir=__snake_case,	split=__snake_case      ).read()
					_check_json_dataset(__snake_case,	__snake_case      )
					assert dataset.split == split if split else "train"



@pytest.mark.parametrize('''path_type''',	[str, list]      )
def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					if issubclass(__snake_case,	__snake_case      ):
										_UpperCamelCase									=    jsonl_path
					elif issubclass(__snake_case,	__snake_case      ):
										_UpperCamelCase									=    [jsonl_path]
					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	cache_dir=__snake_case      ).read()
					_check_json_dataset(__snake_case,	__snake_case      )



def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case=("train",)      )				->						str:


					"""simple docstring"""





					assert isinstance(__snake_case,	__snake_case      )
					for split in splits:
										_UpperCamelCase									=    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__						(     __snake_case,	__snake_case,	__snake_case      )				->						Optional[int]:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
										_UpperCamelCase									=    JsonDatasetReader({'''train''': jsonl_path},	cache_dir=__snake_case,	keep_in_memory=__snake_case      ).read()
					_check_json_datasetdict(__snake_case,	__snake_case      )



@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__						(     __snake_case,	__snake_case,	__snake_case      )				->						Optional[Any]:


					"""simple docstring"""





					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					_UpperCamelCase									=    features.copy() if features else default_expected_features
					_UpperCamelCase									=    (
					    Features({feature: Value(__snake_case      ) for feature, dtype in features.items()}      ) if features is not None else None
					)
					_UpperCamelCase									=    JsonDatasetReader({'''train''': jsonl_path},	features=__snake_case,	cache_dir=__snake_case      ).read()
					_check_json_datasetdict(__snake_case,	__snake_case      )



@pytest.mark.parametrize('''split''',	[None, NamedSplit('''train'''      ), '''train''', '''test''']      )
def  lowerCamelCase__						(     __snake_case,	__snake_case,	__snake_case      )				->						Dict:


					"""simple docstring"""





					if split:
										_UpperCamelCase									=    {split: jsonl_path}
					else:
										_UpperCamelCase									=    '''train'''
										_UpperCamelCase									=    {'''train''': jsonl_path, '''test''': jsonl_path}
					_UpperCamelCase									=    tmp_path / '''cache'''
					_UpperCamelCase									=    {'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
					_UpperCamelCase									=    JsonDatasetReader(__snake_case,	cache_dir=__snake_case      ).read()
					_check_json_datasetdict(__snake_case,	__snake_case,	splits=list(path.keys()      )      )
					assert all(dataset[split].split == split for split in path.keys()      )



def  lowerCamelCase__						(     __snake_case      )				->						Tuple:


					"""simple docstring"""





					return json.load(__snake_case      )



def  lowerCamelCase__						(     __snake_case      )				->						Optional[int]:


					"""simple docstring"""





					return [json.loads(__snake_case      ) for line in buffer]






class        _UpperCAmelCase:



		@pytest.mark.parametrize('''lines, load_json_function'''							,						[(True, load_json_lines), (False, load_json)])
		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a)			->			Dict:






							'''simple docstring'''
							with io.BytesIO() as buffer:
												JsonDatasetWriter(__a							,						__a							,						lines=__a).write()
												buffer.seek(0)
												_UpperCamelCase									=    load_json_function(__a)
							assert isinstance(__a							,						__a)
							assert isinstance(exported_content[0]							,						__a)
							assert len(__a) == 10



		@pytest.mark.parametrize(
		    '''orient, container, keys, len_at'''							,						[
		        ('''records''', list, {'''tokens''', '''labels''', '''answers''', '''id'''}, None),
		        ('''split''', dict, {'''columns''', '''data'''}, '''data'''),
		        ('''index''', dict, set('''0123456789'''), None),
		        ('''columns''', dict, {'''tokens''', '''labels''', '''answers''', '''id'''}, '''tokens'''),
		        ('''values''', list, None, None),
		        ('''table''', dict, {'''schema''', '''data'''}, '''data'''),
		    ]							,						)
		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a							,						__a							,						__a)			->			List[Any]:






							'''simple docstring'''
							with io.BytesIO() as buffer:
												JsonDatasetWriter(__a							,						__a							,						lines=__a							,						orient=__a).write()
												buffer.seek(0)
												_UpperCamelCase									=    load_json(__a)
							assert isinstance(__a							,						__a)
							if keys:
												if container is dict:
																	assert exported_content.keys() == keys
												else:
																	assert exported_content[0].keys() == keys
							else:
												assert not hasattr(__a							,						'''keys''') and not hasattr(exported_content[0]							,						'''keys''')
							if len_at:
												assert len(exported_content[len_at]) == 10
							else:
												assert len(__a) == 10



		@pytest.mark.parametrize('''lines, load_json_function'''							,						[(True, load_json_lines), (False, load_json)])
		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a)			->			int:






							'''simple docstring'''
							with io.BytesIO() as buffer:
												JsonDatasetWriter(__a							,						__a							,						lines=__a							,						num_proc=2).write()
												buffer.seek(0)
												_UpperCamelCase									=    load_json_function(__a)
							assert isinstance(__a							,						__a)
							assert isinstance(exported_content[0]							,						__a)
							assert len(__a) == 10



		@pytest.mark.parametrize(
		    '''orient, container, keys, len_at'''							,						[
		        ('''records''', list, {'''tokens''', '''labels''', '''answers''', '''id'''}, None),
		        ('''split''', dict, {'''columns''', '''data'''}, '''data'''),
		        ('''index''', dict, set('''0123456789'''), None),
		        ('''columns''', dict, {'''tokens''', '''labels''', '''answers''', '''id'''}, '''tokens'''),
		        ('''values''', list, None, None),
		        ('''table''', dict, {'''schema''', '''data'''}, '''data'''),
		    ]							,						)
		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a							,						__a							,						__a)			->			Optional[int]:






							'''simple docstring'''
							with io.BytesIO() as buffer:
												JsonDatasetWriter(__a							,						__a							,						lines=__a							,						orient=__a							,						num_proc=2).write()
												buffer.seek(0)
												_UpperCamelCase									=    load_json(__a)
							assert isinstance(__a							,						__a)
							if keys:
												if container is dict:
																	assert exported_content.keys() == keys
												else:
																	assert exported_content[0].keys() == keys
							else:
												assert not hasattr(__a							,						'''keys''') and not hasattr(exported_content[0]							,						'''keys''')
							if len_at:
												assert len(exported_content[len_at]) == 10
							else:
												assert len(__a) == 10



		def 		UpperCAmelCase				(   self							,						__a)			->			List[Any]:






							'''simple docstring'''
							with pytest.raises(__a):
												with io.BytesIO() as buffer:
																	JsonDatasetWriter(__a							,						__a							,						num_proc=0)




		@pytest.mark.parametrize('''compression, extension'''							,						[('''gzip''', '''gz'''), ('''bz2''', '''bz2'''), ('''xz''', '''xz''')])
		def 		UpperCAmelCase				(   self							,						__a							,						__a							,						__a							,						__a							,						__a)			->			Union[str, Any]:






							'''simple docstring'''
							_UpperCamelCase									=    tmp_path_factory.mktemp('''data''') / F'''test.json.{extension}'''
							_UpperCamelCase									=    str(shared_datadir / F'''test_file.json.{extension}''')
							JsonDatasetWriter(__a							,						__a							,						compression=__a).write()

							with fsspec.open(__a							,						'''rb'''							,						compression='''infer''') as f:
												_UpperCamelCase									=    f.read()
							with fsspec.open(__a							,						'''rb'''							,						compression='''infer''') as f:
												_UpperCamelCase									=    f.read()
							assert exported_content == original_content













'''simple docstring'''




import re





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  list:
   return [char.split() for char in re.split(r"""[^ a-z A-Z 0-9 \s]"""      ,    str_		)]





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   split_input(str_		)
   return "".join(
       ["""""".join([char.capitalize() for char in sub_str]		) for sub_str in string_split]		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool      ,    __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   split_input(__lowerCAmelCase		)
      if upper:
         snake_case 						=   """""".join(
             [
                 separator.join([char.upper() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      else:
         snake_case 						=   """""".join(
             [
                 separator.join([char.lower() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      return res_str
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   return to_simple_case(__lowerCAmelCase		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   to_simple_case(__lowerCAmelCase		)
      return res_str[0].lower() + res_str[1:]
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """_"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """-"""		)


if __name__ == "__main__":
 __import__("doctest").testmod()

