



from __future__ import annotations

from random import random
from typing import Generic, TypeVar

lowerCAmelCase	:		Optional[Any]				=   TypeVar('''KT''')
lowerCAmelCase	:		str				=   TypeVar('''VT''')






class 					UpperCAmelCase__	(		Generic[KT, VT] ):



					def __init__(    self			,				UpperCamelCase = "root"			,				UpperCamelCase = None     )     ->			str:
						__lowerCAmelCase												=  key
						__lowerCAmelCase												=  value
						__lowerCAmelCase												=  []



					def __repr__(    self     )     ->			Tuple:
						return F'''Node({self.key}: {self.value})'''



					@property
					def        UpperCAmelCase_ (    self     )     ->			str:
						return len(self.forward     )






class 					UpperCAmelCase__	(		Generic[KT, VT] ):



					def __init__(    self			,				UpperCamelCase = 0.5			,				UpperCamelCase = 16     )     ->			int:
						__lowerCAmelCase												=  Node[KT, VT]()
						__lowerCAmelCase												=  0
						__lowerCAmelCase												=  p
						__lowerCAmelCase												=  max_level



					def __str__(    self     )     ->			Dict:
						__lowerCAmelCase												=  list(self     )

						if len(lowercase__     ) == 0:
							return F'''SkipList(level={self.level})'''

						__lowerCAmelCase												=  max((len(str(lowercase__     )     ) for item in items)			,				default=4     )
						__lowerCAmelCase												=  max(lowercase__			,				4     ) + 4

						__lowerCAmelCase												=  self.head
						__lowerCAmelCase												=  []

						__lowerCAmelCase												=  node.forward.copy()
						lines.append(F'''[{node.key}]'''.ljust(lowercase__			,				"-"     ) + "* " * len(lowercase__     )     )
						lines.append(" " * label_size + "| " * len(lowercase__     )     )

						while len(node.forward     ) != 0:
							__lowerCAmelCase												=  node.forward[0]

							lines.append(
							    F'''[{node.key}]'''.ljust(lowercase__			,				"-"     )
							    + " ".join(str(n.key     ) if n.key == node.key else "|" for n in forwards     )     )
							lines.append(" " * label_size + "| " * len(lowercase__     )     )
							__lowerCAmelCase												=  node.forward

						lines.append("None".ljust(lowercase__     ) + "* " * len(lowercase__     )     )
						return F'''SkipList(level={self.level})\n''' + "\n".join(lowercase__     )



					def __iter__(    self     )     ->			Optional[int]:
						__lowerCAmelCase												=  self.head

						while len(node.forward     ) != 0:
							yield node.forward[0].key
							__lowerCAmelCase												=  node.forward[0]



					def        UpperCAmelCase_ (    self     )     ->			int:
						__lowerCAmelCase												=  1
						while random() < self.p and level < self.max_level:
							level += 1

						return level



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Optional[Any]:
						__lowerCAmelCase												=  []

						__lowerCAmelCase												=  self.head

						for i in reversed(range(self.level     )     ):
							# i < node.level - When node level is lesser than `i` decrement `i`.
							# node.forward[i].key < key - Jumping to node with key value higher
							#                             or equal to searched key would result
							#                             in skipping searched key.
							while i < node.level and node.forward[i].key < key:
								__lowerCAmelCase												=  node.forward[i]
							# Each leftmost node (relative to searched node) will potentially have to
							# be updated.
							update_vector.append(lowercase__     )

						update_vector.reverse()  # Note that we were inserting values in reverse order.

						# len(node.forward) != 0 - If current node doesn't contain any further
						#                          references then searched key is not present.
						# node.forward[0].key == key - Next node key should be equal to search key
						#                              if key is present.
						if len(node.forward     ) != 0 and node.forward[0].key == key:
							return node.forward[0], update_vector
						else:
							return None, update_vector



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Optional[int]:
						__lowerCAmelCase												=  self._locate_node(lowercase__     )

						if node is not None:
							for i, update_node in enumerate(lowercase__     ):
								# Remove or replace all references to removed node.
								if update_node.level > i and update_node.forward[i].key == key:
									if node.level > i:
										__lowerCAmelCase												=  node.forward[i]
									else:
										__lowerCAmelCase												=  update_node.forward[:i]



					def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase     )     ->			List[Any]:
						__lowerCAmelCase												=  self._locate_node(lowercase__     )
						if node is not None:
							__lowerCAmelCase												=  value
						else:
							__lowerCAmelCase												=  self.random_level()

							if level > self.level:
								# After level increase we have to add additional nodes to head.
								for _ in range(self.level - 1			,				lowercase__     ):
									update_vector.append(self.head     )
								__lowerCAmelCase												=  level

							__lowerCAmelCase												=  Node(lowercase__			,				lowercase__     )

							for i, update_node in enumerate(update_vector[:level]     ):
								# Change references to pass through new node.
								if update_node.level > i:
									new_node.forward.append(update_node.forward[i]     )

								if update_node.level < i + 1:
									update_node.forward.append(lowercase__     )
								else:
									__lowerCAmelCase												=  new_node



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			List[Any]:
						__lowerCAmelCase												=  self._locate_node(lowercase__     )

						if node is not None:
							return node.value

						return None



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()
	skip_list.insert("Key1"				,		3					)
	skip_list.insert("Key2"				,		12					)
	skip_list.insert("Key3"				,		41					)
	skip_list.insert("Key4"				,		-19					)

	__lowerCAmelCase												=  skip_list.head
	__lowerCAmelCase												=  {}
	while node.level != 0:
		__lowerCAmelCase												=  node.forward[0]
		__lowerCAmelCase												=  node.value

	assert len(SCREAMING_SNAKE_CASE_					) == 4
	assert all_values["Key1"] == 3
	assert all_values["Key2"] == 12
	assert all_values["Key3"] == 41
	assert all_values["Key4"] == -19



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()
	skip_list.insert("Key1"				,		10					)
	skip_list.insert("Key1"				,		12					)

	skip_list.insert("Key5"				,		7					)
	skip_list.insert("Key7"				,		10					)
	skip_list.insert("Key10"				,		5					)

	skip_list.insert("Key7"				,		7					)
	skip_list.insert("Key5"				,		5					)
	skip_list.insert("Key10"				,		10					)

	__lowerCAmelCase												=  skip_list.head
	__lowerCAmelCase												=  {}
	while node.level != 0:
		__lowerCAmelCase												=  node.forward[0]
		__lowerCAmelCase												=  node.value

	if len(SCREAMING_SNAKE_CASE_					) != 4:
		print()
	assert len(SCREAMING_SNAKE_CASE_					) == 4
	assert all_values["Key1"] == 12
	assert all_values["Key7"] == 7
	assert all_values["Key5"] == 5
	assert all_values["Key10"] == 10



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()
	assert skip_list.find("Some key"					) is None



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()

	skip_list.insert("Key2"				,		20					)
	assert skip_list.find("Key2"					) == 20

	skip_list.insert("Some Key"				,		10					)
	skip_list.insert("Key2"				,		8					)
	skip_list.insert("V"				,		13					)

	assert skip_list.find("Y"					) is None
	assert skip_list.find("Key2"					) == 8
	assert skip_list.find("Some Key"					) == 10
	assert skip_list.find("V"					) == 13



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()
	skip_list.delete("Some key"					)

	assert len(skip_list.head.forward					) == 0



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()

	skip_list.insert("Key1"				,		12					)
	skip_list.insert("V"				,		13					)
	skip_list.insert("X"				,		14					)
	skip_list.insert("Key2"				,		15					)

	skip_list.delete("V"					)
	skip_list.delete("Key2"					)

	assert skip_list.find("V"					) is None
	assert skip_list.find("Key2"					) is None



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()

	skip_list.insert("Key1"				,		12					)
	skip_list.insert("V"				,		13					)
	skip_list.insert("X"				,		14					)
	skip_list.insert("Key2"				,		15					)

	skip_list.delete("V"					)
	assert skip_list.find("V"					) is None
	assert skip_list.find("X"					) == 14
	assert skip_list.find("Key1"					) == 12
	assert skip_list.find("Key2"					) == 15

	skip_list.delete("X"					)
	assert skip_list.find("V"					) is None
	assert skip_list.find("X"					) is None
	assert skip_list.find("Key1"					) == 12
	assert skip_list.find("Key2"					) == 15

	skip_list.delete("Key1"					)
	assert skip_list.find("V"					) is None
	assert skip_list.find("X"					) is None
	assert skip_list.find("Key1"					) is None
	assert skip_list.find("Key2"					) == 15

	skip_list.delete("Key2"					)
	assert skip_list.find("V"					) is None
	assert skip_list.find("X"					) is None
	assert skip_list.find("Key1"					) is None
	assert skip_list.find("Key2"					) is None



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()

	skip_list.insert("Key1"				,		12					)
	skip_list.insert("V"				,		13					)
	skip_list.insert("X"				,		1_42					)
	skip_list.insert("Key2"				,		15					)

	skip_list.delete("X"					)

	def traverse_keys(lowerCamelCase   :						Optional[int]					):
		yield node.key
		for forward_node in node.forward:
			yield from traverse_keys(SCREAMING_SNAKE_CASE_					)

	assert len(set(traverse_keys(skip_list.head					)					)					) == 4



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	def is_sorted(lowerCamelCase   :						int					):
		return all(next_item >= item for item, next_item in zip(SCREAMING_SNAKE_CASE_				,		lst[1:]					)					)

	__lowerCAmelCase												=  SkipList()
	for i in range(10					):
		skip_list.insert(SCREAMING_SNAKE_CASE_				,		SCREAMING_SNAKE_CASE_					)
	assert is_sorted(list(SCREAMING_SNAKE_CASE_					)					)
	skip_list.delete(5					)
	skip_list.delete(8					)
	skip_list.delete(2					)
	assert is_sorted(list(SCREAMING_SNAKE_CASE_					)					)
	skip_list.insert(-12				,		-12					)
	skip_list.insert(77				,		77					)
	assert is_sorted(list(SCREAMING_SNAKE_CASE_					)					)



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	for _ in range(1_00					):
		# Repeat test 100 times due to the probabilistic nature of skip list
		# random values == random bugs
		test_insert()
		test_insert_overrides_existing_value()

		test_searching_empty_list_returns_none()
		test_search()

		test_deleting_item_from_empty_list_do_nothing()
		test_deleted_items_are_not_founded_by_find_method()
		test_delete_removes_only_given_key()
		test_delete_doesnt_leave_dead_nodes()

		test_iter_always_yields_sorted_values()



def   __lowerCAmelCase					(							):






	'''simple docstring'''




	__lowerCAmelCase												=  SkipList()
	skip_list.insert(2				,		"2"					)
	skip_list.insert(4				,		"4"					)
	skip_list.insert(6				,		"4"					)
	skip_list.insert(4				,		"5"					)
	skip_list.insert(8				,		"4"					)
	skip_list.insert(9				,		"4"					)

	skip_list.delete(4					)

	print(SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()




'''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					(							lowerCamelCase   :						str				,		lowerCamelCase   :						Union[str, Any]					):






	'''simple docstring'''




	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   __lowerCAmelCase					(							lowerCamelCase   :						Tuple				,		lowerCamelCase   :						int				,		lowerCamelCase   :						Optional[int]					):






	'''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(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   __lowerCAmelCase					(							lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						int				,		lowerCamelCase   :						Dict					):






	'''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(lowerCamelCase					) for feature, dtype in features.items()}					) if features is not None else None
	)
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						Optional[int]				,		lowerCamelCase   :						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(lowerCamelCase					) for feature, dtype in features.items()}					) if features is not None else None
	)
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						Any				,		lowerCamelCase   :						Optional[int]					):






	'''simple docstring'''




	__lowerCAmelCase												=  {"col_2": "int64", "col_3": "float64", "col_1": "string"}
	__lowerCAmelCase												=  features.copy()
	__lowerCAmelCase												=  (
	    Features({feature: Value(lowerCamelCase					) for feature, dtype in features.items()}					) if features is not None else None
	)
	__lowerCAmelCase												=  tmp_path / "cache"
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						List[Any]				,		lowerCamelCase   :						Optional[Any]				,		lowerCamelCase   :						Union[str, Any]					):






	'''simple docstring'''




	__lowerCAmelCase												=  tmp_path / "cache"
	__lowerCAmelCase												=  {"col_1": "string", "col_2": "int64", "col_3": "float64"}
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						Any				,		lowerCamelCase   :						List[str]				,		lowerCamelCase   :						Optional[int]					):






	'''simple docstring'''




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



def   __lowerCAmelCase					(							lowerCamelCase   :						Optional[int]				,		lowerCamelCase   :						int				,		lowerCamelCase   :						str=("train",)					):






	'''simple docstring'''




	assert isinstance(lowerCamelCase				,		lowerCamelCase					)
	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					(							lowerCamelCase   :						Dict				,		lowerCamelCase   :						int				,		lowerCamelCase   :						List[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=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   __lowerCAmelCase					(							lowerCamelCase   :						int				,		lowerCamelCase   :						Any				,		lowerCamelCase   :						Dict					):






	'''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(lowerCamelCase					) for feature, dtype in features.items()}					) if features is not None else None
	)
	__lowerCAmelCase												=  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   __lowerCAmelCase					(							lowerCamelCase   :						int				,		lowerCamelCase   :						Optional[int]				,		lowerCamelCase   :						int					):






	'''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(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   __lowerCAmelCase					(							lowerCamelCase   :						Optional[Any]					):






	'''simple docstring'''




	return json.load(lowerCamelCase					)



def   __lowerCAmelCase					(							lowerCamelCase   :						Tuple					):






	'''simple docstring'''




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






class 					UpperCAmelCase__	:



					@pytest.mark.parametrize("lines, load_json_function"			,				[(True, load_json_lines), (False, load_json)]     )
					def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase     )     ->			int:
						with io.BytesIO() as buffer:
							JsonDatasetWriter(UpperCamelCase			,				UpperCamelCase			,				lines=UpperCamelCase     ).write()
							buffer.seek(0     )
							__lowerCAmelCase												=  load_json_function(UpperCamelCase     )
						assert isinstance(UpperCamelCase			,				UpperCamelCase     )
						assert isinstance(exported_content[0]			,				UpperCamelCase     )
						assert len(UpperCamelCase     ) == 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			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase     )     ->			int:
						with io.BytesIO() as buffer:
							JsonDatasetWriter(UpperCamelCase			,				UpperCamelCase			,				lines=UpperCamelCase			,				orient=UpperCamelCase     ).write()
							buffer.seek(0     )
							__lowerCAmelCase												=  load_json(UpperCamelCase     )
						assert isinstance(UpperCamelCase			,				UpperCamelCase     )
						if keys:
							if container is dict:
								assert exported_content.keys() == keys
							else:
								assert exported_content[0].keys() == keys
						else:
							assert not hasattr(UpperCamelCase			,				"keys"     ) and not hasattr(exported_content[0]			,				"keys"     )
						if len_at:
							assert len(exported_content[len_at]     ) == 10
						else:
							assert len(UpperCamelCase     ) == 10



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



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Any:
						with pytest.raises(UpperCamelCase     ):
							with io.BytesIO() as buffer:
								JsonDatasetWriter(UpperCamelCase			,				UpperCamelCase			,				num_proc=0     )



					@pytest.mark.parametrize("compression, extension"			,				[("gzip", "gz"), ("bz2", "bz2"), ("xz", "xz")]     )
					def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase			,				UpperCamelCase     )     ->			Tuple:
						__lowerCAmelCase												=  tmp_path_factory.mktemp("data"     ) / F'''test.json.{extension}'''
						__lowerCAmelCase												=  str(shared_datadir / F'''test_file.json.{extension}'''     )
						JsonDatasetWriter(UpperCamelCase			,				UpperCamelCase			,				compression=UpperCamelCase     ).write()

						with fsspec.open(UpperCamelCase			,				"rb"			,				compression="infer"     ) as f:
							__lowerCAmelCase												=  f.read()
						with fsspec.open(UpperCamelCase			,				"rb"			,				compression="infer"     ) as f:
							__lowerCAmelCase												=  f.read()
						assert exported_content == original_content