




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_		(       UpperCamelCase__				:      str ,     UpperCamelCase__				:      int      )     ->       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 			lowerCamelCase_		(       UpperCamelCase__				:      List[str] ,     UpperCamelCase__				:      List[str] ,     UpperCamelCase__				:      str      )     ->       Dict:





				"""simple docstring"""


				__lowerCamelCase		       =    tmp_path / 'cache'
				__lowerCamelCase		       =    {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
				with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
								__lowerCamelCase		       =    JsonDatasetReader(UpperCamelCase__ ,     cache_dir=UpperCamelCase__ ,     keep_in_memory=UpperCamelCase__      ).read()
				_check_json_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 			lowerCamelCase_		(       UpperCamelCase__				:      Optional[Any] ,     UpperCamelCase__				:      Any ,     UpperCamelCase__				:      List[Any]      )     ->       Union[str, Any]:





				"""simple docstring"""


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







@pytest.mark.parametrize(
    'features' ,     [
        None,
        {'col_3': 'float64', 'col_1': 'string', 'col_2': 'int64'},
    ] ,     )
def 			lowerCamelCase_		(       UpperCamelCase__				:      List[Any] ,     UpperCamelCase__				:      Any ,     UpperCamelCase__				:      int      )     ->       Any:





				"""simple docstring"""


				__lowerCamelCase		       =    tmp_path / 'cache'
				__lowerCamelCase		       =    {'col_3': 'float64', 'col_1': 'string', 'col_2': 'int64'}
				__lowerCamelCase		       =    features.copy() if features else default_expected_features
				__lowerCamelCase		       =    (
				    Features({feature: Value(UpperCamelCase__      ) for feature, dtype in features.items()}      ) if features is not None else None
				)
				__lowerCamelCase		       =    JsonDatasetReader(UpperCamelCase__ ,     features=UpperCamelCase__ ,     cache_dir=UpperCamelCase__      ).read()
				assert isinstance(UpperCamelCase__ ,     UpperCamelCase__      )
				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_		(       UpperCamelCase__				:      Dict ,     UpperCamelCase__				:      List[str]      )     ->       Any:





				"""simple docstring"""


				__lowerCamelCase		       =    {'col_2': 'int64', 'col_3': 'float64', 'col_1': 'string'}
				__lowerCamelCase		       =    features.copy()
				__lowerCamelCase		       =    (
				    Features({feature: Value(UpperCamelCase__      ) for feature, dtype in features.items()}      ) if features is not None else None
				)
				__lowerCamelCase		       =    tmp_path / 'cache'
				__lowerCamelCase		       =    JsonDatasetReader(UpperCamelCase__ ,     features=UpperCamelCase__ ,     cache_dir=UpperCamelCase__      ).read()
				assert isinstance(UpperCamelCase__ ,     UpperCamelCase__      )
				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_		(       UpperCamelCase__				:      List[str] ,     UpperCamelCase__				:      int ,     UpperCamelCase__				:      Optional[Any]      )     ->       Any:





				"""simple docstring"""


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







@pytest.mark.parametrize('path_type' ,     [str, list]      )
def 			lowerCamelCase_		(       UpperCamelCase__				:      Union[str, Any] ,     UpperCamelCase__				:      str ,     UpperCamelCase__				:      List[Any]      )     ->       Optional[int]:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      Union[str, Any] ,     UpperCamelCase__				:      Optional[Any] ,     UpperCamelCase__				:      Tuple=("train",)      )     ->       str:





				"""simple docstring"""


				assert isinstance(UpperCamelCase__ ,     UpperCamelCase__      )
				for split in splits:
								__lowerCamelCase		       =    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_		(       UpperCamelCase__				:      int ,     UpperCamelCase__				:      str ,     UpperCamelCase__				:      Optional[Any]      )     ->       str:





				"""simple docstring"""


				__lowerCamelCase		       =    tmp_path / 'cache'
				__lowerCamelCase		       =    {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
				with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
								__lowerCamelCase		       =    JsonDatasetReader({'train': jsonl_path} ,     cache_dir=UpperCamelCase__ ,     keep_in_memory=UpperCamelCase__      ).read()
				_check_json_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 			lowerCamelCase_		(       UpperCamelCase__				:      List[Any] ,     UpperCamelCase__				:      Union[str, Any] ,     UpperCamelCase__				:      List[Any]      )     ->       Union[str, Any]:





				"""simple docstring"""


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







@pytest.mark.parametrize('split' ,     [None, NamedSplit('train'      ), 'train', 'test']      )
def 			lowerCamelCase_		(       UpperCamelCase__				:      Union[str, Any] ,     UpperCamelCase__				:      Union[str, Any] ,     UpperCamelCase__				:      Optional[Any]      )     ->       Tuple:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      List[Any]      )     ->       Dict:





				"""simple docstring"""


				return json.load(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      List[str]      )     ->       Dict:





				"""simple docstring"""


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







class     __lowerCAmelCase :

			"""simple docstring"""







			@pytest.mark.parametrize('lines, load_json_function'			,						[(True, load_json_lines), (False, load_json)]							)
			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      List[Any]:



							'''simple docstring'''
							with io.BytesIO() as buffer:
											JsonDatasetWriter(lowerCamelCase__			,						lowerCamelCase__			,						lines=lowerCamelCase__							).write()
											buffer.seek(0							)
											__lowerCamelCase		       =    load_json_function(lowerCamelCase__							)
							assert isinstance(lowerCamelCase__			,						lowerCamelCase__							)
							assert isinstance(exported_content[0]			,						lowerCamelCase__							)
							assert len(lowerCamelCase__							) == 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       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      int:



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


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



							'''simple docstring'''
							with io.BytesIO() as buffer:
											JsonDatasetWriter(lowerCamelCase__			,						lowerCamelCase__			,						lines=lowerCamelCase__			,						num_proc=2							).write()
											buffer.seek(0							)
											__lowerCamelCase		       =    load_json_function(lowerCamelCase__							)
							assert isinstance(lowerCamelCase__			,						lowerCamelCase__							)
							assert isinstance(exported_content[0]			,						lowerCamelCase__							)
							assert len(lowerCamelCase__							) == 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       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      int:



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


			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      Dict:



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






			@pytest.mark.parametrize('compression, extension'			,						[('gzip', 'gz'), ('bz2', 'bz2'), ('xz', 'xz')]							)
			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__			,						lowerCamelCase__							)    ->      Optional[int]:



							'''simple docstring'''
							__lowerCamelCase		       =    tmp_path_factory.mktemp('data'							) / f"""test.json.{extension}"""
							__lowerCamelCase		       =    str(shared_datadir / f"""test_file.json.{extension}"""							)
							JsonDatasetWriter(lowerCamelCase__			,						lowerCamelCase__			,						compression=lowerCamelCase__							).write()

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









def A_	(		A__				)  ->		int:
       stooge(A__		,      0		,      len(A__				) - 1				)
       return arr



def A_	(		A__		,      A__		,      A__				)  ->		List[Any]:
       if i >= h:
              return

       # If first element is smaller than the last then swap them
       if arr[i] > arr[h]:
              a__ ,							a__						:	List[str] =				arr[h], arr[i]

       # If there are more than 2 elements in the array
       if h - i + 1 > 2:
              a__						:	Dict =				(int)((h - i + 1) / 3				)

              # Recursively sort first 2/3 elements
              stooge(A__		,      A__		,      (h - t)				)

              # Recursively sort last 2/3 elements
              stooge(A__		,      i + t		,      (A__)				)

              # Recursively sort first 2/3 elements
              stooge(A__		,      A__		,      (h - t)				)


if __name__ == "__main__":
    lowercase      :       Dict									=  input("""Enter numbers separated by a comma:\n""").strip()
    lowercase      :       Dict									=  [int(item) for item in user_input.split(""",""")]
    print(stooge_sort(unsorted))


