


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        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						assert isinstance(_lowerCamelCase    ,       _lowerCamelCase      )
						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							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     str					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
												__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		JsonDatasetReader(_lowerCamelCase    ,       cache_dir=_lowerCamelCase    ,       keep_in_memory=_lowerCamelCase      ).read()
						_check_json_dataset(_lowerCamelCase    ,       _lowerCamelCase      )


@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							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		features.copy() if features else default_expected_features
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		(
						    Features({feature: Value(_lowerCamelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
						)
						__SCREAMING_SNAKE_CASE						:     Any					=		JsonDatasetReader(_lowerCamelCase    ,       features=_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						_check_json_dataset(_lowerCamelCase    ,       _lowerCamelCase      )


@pytest.mark.parametrize(
    '''features'''    ,       [
        None,
        {'''col_3''': '''float64''', '''col_1''': '''string''', '''col_2''': '''int64'''},
    ]    ,       )
def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Tuple					=		{"col_3": "float64", "col_1": "string", "col_2": "int64"}
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		features.copy() if features else default_expected_features
						__SCREAMING_SNAKE_CASE						:     int					=		(
						    Features({feature: Value(_lowerCamelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
						)
						__SCREAMING_SNAKE_CASE						:     Any					=		JsonDatasetReader(_lowerCamelCase    ,       features=_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						assert isinstance(_lowerCamelCase    ,       _lowerCamelCase      )
						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        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						# jsonl_312_path features are {"col_3": "float64", "col_1": "string", "col_2": "int64"}
						__SCREAMING_SNAKE_CASE						:     Any					=		{"col_2": "int64", "col_3": "float64", "col_1": "string"}
						__SCREAMING_SNAKE_CASE						:     str					=		features.copy()
						__SCREAMING_SNAKE_CASE						:     str					=		(
						    Features({feature: Value(_lowerCamelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
						)
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Any					=		JsonDatasetReader(_lowerCamelCase    ,       features=_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						assert isinstance(_lowerCamelCase    ,       _lowerCamelCase      )
						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        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		JsonDatasetReader(_lowerCamelCase    ,       cache_dir=_lowerCamelCase    ,       split=_lowerCamelCase      ).read()
						_check_json_dataset(_lowerCamelCase    ,       _lowerCamelCase      )
						assert dataset.split == split if split else "train"


@pytest.mark.parametrize('''path_type'''    ,       [str, list]      )
def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						if issubclass(_lowerCamelCase    ,       _lowerCamelCase      ):
												__SCREAMING_SNAKE_CASE						:     Tuple					=		jsonl_path
						elif issubclass(_lowerCamelCase    ,       _lowerCamelCase      ):
												__SCREAMING_SNAKE_CASE						:     str					=		[jsonl_path]
						__SCREAMING_SNAKE_CASE						:     str					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						__SCREAMING_SNAKE_CASE						:     Tuple					=		JsonDatasetReader(_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						_check_json_dataset(_lowerCamelCase    ,       _lowerCamelCase      )


def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__=("train",)      ):
						assert isinstance(_lowerCamelCase    ,       _lowerCamelCase      )
						for split in splits:
												__SCREAMING_SNAKE_CASE						:     Optional[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        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     List[str]					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     str					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
												__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		JsonDatasetReader({'''train''': jsonl_path}    ,       cache_dir=_lowerCamelCase    ,       keep_in_memory=_lowerCamelCase      ).read()
						_check_json_datasetdict(_lowerCamelCase    ,       _lowerCamelCase      )


@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							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     str					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Tuple					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						__SCREAMING_SNAKE_CASE						:     Tuple					=		features.copy() if features else default_expected_features
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		(
						    Features({feature: Value(_lowerCamelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
						)
						__SCREAMING_SNAKE_CASE						:     Tuple					=		JsonDatasetReader({'''train''': jsonl_path}    ,       features=_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						_check_json_datasetdict(_lowerCamelCase    ,       _lowerCamelCase      )


@pytest.mark.parametrize('''split'''    ,       [None, NamedSplit('''train'''      ), '''train''', '''test''']      )
def        _UpperCamelCase							(      lowercase__    ,       lowercase__    ,       lowercase__      ):
						if split:
												__SCREAMING_SNAKE_CASE						:     Tuple					=		{split: jsonl_path}
						else:
												__SCREAMING_SNAKE_CASE						:     Tuple					=		"train"
												__SCREAMING_SNAKE_CASE						:     int					=		{"train": jsonl_path, "test": jsonl_path}
						__SCREAMING_SNAKE_CASE						:     Dict					=		tmp_path / "cache"
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		{"col_1": "string", "col_2": "int64", "col_3": "float64"}
						__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		JsonDatasetReader(_lowerCamelCase    ,       cache_dir=_lowerCamelCase      ).read()
						_check_json_datasetdict(_lowerCamelCase    ,       _lowerCamelCase    ,       splits=list(path.keys()      )      )
						assert all(dataset[split].split == split for split in path.keys()      )


def        _UpperCamelCase							(      lowercase__      ):
						return json.load(_lowerCamelCase      )


def        _UpperCamelCase							(      lowercase__      ):
						return [json.loads(_lowerCamelCase      ) for line in buffer]
class        _lowercase      :






				'''simple docstring'''



				@pytest.mark.parametrize('''lines, load_json_function'''			,			[(True, load_json_lines), (False, load_json)]	)
				def 		__magic_name__(       self			:List[Any]			,			lowerCAmelCase__			:Any			,			lowerCAmelCase__			:Optional[Any]			,			lowerCAmelCase__			:Dict	)		->			Optional[Any]:
										with io.BytesIO() as buffer:
																JsonDatasetWriter(lowercase_			,			lowercase_			,			lines=lowercase_	).write()
																buffer.seek(0	)
																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		load_json_function(lowercase_	)
										assert isinstance(lowercase_			,			lowercase_	)
										assert isinstance(exported_content[0]			,			lowercase_	)
										assert len(lowercase_	) == 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 		__magic_name__(       self			:str			,			lowerCAmelCase__			:int			,			lowerCAmelCase__			:str			,			lowerCAmelCase__			:Union[str, Any]			,			lowerCAmelCase__			:Dict			,			lowerCAmelCase__			:Tuple	)		->			List[str]:
										with io.BytesIO() as buffer:
																JsonDatasetWriter(lowercase_			,			lowercase_			,			lines=lowercase_			,			orient=lowercase_	).write()
																buffer.seek(0	)
																__SCREAMING_SNAKE_CASE						:     str					=		load_json(lowercase_	)
										assert isinstance(lowercase_			,			lowercase_	)
										if keys:
																if container is dict:
																						assert exported_content.keys() == keys
																else:
																						assert exported_content[0].keys() == keys
										else:
																assert not hasattr(lowercase_			,			'''keys'''	) and not hasattr(exported_content[0]			,			'''keys'''	)
										if len_at:
																assert len(exported_content[len_at]	) == 10
										else:
																assert len(lowercase_	) == 10


				@pytest.mark.parametrize('''lines, load_json_function'''			,			[(True, load_json_lines), (False, load_json)]	)
				def 		__magic_name__(       self			:List[Any]			,			lowerCAmelCase__			:int			,			lowerCAmelCase__			:Optional[Any]			,			lowerCAmelCase__			:Dict	)		->			Optional[int]:
										with io.BytesIO() as buffer:
																JsonDatasetWriter(lowercase_			,			lowercase_			,			lines=lowercase_			,			num_proc=2	).write()
																buffer.seek(0	)
																__SCREAMING_SNAKE_CASE						:     str					=		load_json_function(lowercase_	)
										assert isinstance(lowercase_			,			lowercase_	)
										assert isinstance(exported_content[0]			,			lowercase_	)
										assert len(lowercase_	) == 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 		__magic_name__(       self			:Union[str, Any]			,			lowerCAmelCase__			:Dict			,			lowerCAmelCase__			:Dict			,			lowerCAmelCase__			:Optional[int]			,			lowerCAmelCase__			:Optional[Any]			,			lowerCAmelCase__			:Dict	)		->			Any:
										with io.BytesIO() as buffer:
																JsonDatasetWriter(lowercase_			,			lowercase_			,			lines=lowercase_			,			orient=lowercase_			,			num_proc=2	).write()
																buffer.seek(0	)
																__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		load_json(lowercase_	)
										assert isinstance(lowercase_			,			lowercase_	)
										if keys:
																if container is dict:
																						assert exported_content.keys() == keys
																else:
																						assert exported_content[0].keys() == keys
										else:
																assert not hasattr(lowercase_			,			'''keys'''	) and not hasattr(exported_content[0]			,			'''keys'''	)
										if len_at:
																assert len(exported_content[len_at]	) == 10
										else:
																assert len(lowercase_	) == 10


				def 		__magic_name__(       self			:Dict			,			lowerCAmelCase__			:List[str]	)		->			str:
										with pytest.raises(lowercase_	):
																with io.BytesIO() as buffer:
																						JsonDatasetWriter(lowercase_			,			lowercase_			,			num_proc=0	)



				@pytest.mark.parametrize('''compression, extension'''			,			[('''gzip''', '''gz'''), ('''bz2''', '''bz2'''), ('''xz''', '''xz''')]	)
				def 		__magic_name__(       self			:List[Any]			,			lowerCAmelCase__			:Tuple			,			lowerCAmelCase__			:List[str]			,			lowerCAmelCase__			:Optional[Any]			,			lowerCAmelCase__			:str			,			lowerCAmelCase__			:List[Any]	)		->			Any:
										__SCREAMING_SNAKE_CASE						:     Dict					=		tmp_path_factory.mktemp('''data'''	) / f'''test.json.{extension}'''
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		str(shared_datadir / f'''test_file.json.{extension}'''	)
										JsonDatasetWriter(lowercase_			,			lowercase_			,			compression=lowercase_	).write()

										with fsspec.open(lowercase_			,			'''rb'''			,			compression='''infer'''	) as f:
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		f.read()
										with fsspec.open(lowercase_			,			'''rb'''			,			compression='''infer'''	) as f:
																__SCREAMING_SNAKE_CASE						:     str					=		f.read()
										assert exported_content == original_content

from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

UpperCamelCase  							=						TypeVar('''T''')



class   snake_case_       (		Generic[T]       ):
   __A	:		deque[T]  # Cache store of keys
   __A	:		set[T]  # References of the keys in cache
   __A	:		int         =				10  # Maximum capacity of cache






   def __init__(      self				:     Union[str, Any]	,						lowercase_				:     int  )					->						None:
       lowercase__ :   int    					=				deque()
       lowercase__ :   str    					=				set()
       if not n:
           lowercase__ :   str    					=				sys.maxsize
       elif n < 0:
           raise ValueError("n should be an integer greater than 0."  )
       else:
           lowercase__ :   List[Any]    					=				n






   def       __UpperCamelCase     (      self				:     Dict	,						lowercase_				:     T  )					->						None:
       if x not in self.key_reference:
           if len(self.dq_store  ) == LRUCache._MAX_CAPACITY:
               lowercase__ :   Dict    					=				self.dq_store.pop()
               self.key_reference.remove(lowercase_  )
       else:
           self.dq_store.remove(lowercase_  )

       self.dq_store.appendleft(lowercase_  )
       self.key_reference.add(lowercase_  )






   def       __UpperCamelCase     (      self				:     Dict  )					->						None:
       for k in self.dq_store:
           print(lowercase_  )







   def __repr__(      self				:     Optional[int]  )					->						str:
       return F'''LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store  )}'''


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      UpperCamelCase  							=						LRUCache(4)
      lru_cache.refer('''A''')
      lru_cache.refer(2)
      lru_cache.refer(3)
      lru_cache.refer('''A''')
      lru_cache.refer(4)
      lru_cache.refer(5)
      lru_cache.display()

      print(lru_cache)
      assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"



