





from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class   _UpperCamelCase  :







					'''simple docstring'''

					def __init__(						self    :  str ,					__lowercase    :  Any		):






						'''simple docstring'''







						UpperCAmelCase_								=     data
						UpperCAmelCase_								=     None







class   _UpperCamelCase  :







					'''simple docstring'''

					def __init__(						self    :  List[str]		):






						'''simple docstring'''







						UpperCAmelCase_								=     None
						UpperCAmelCase_								=     None





					def __iter__(						self    :  Any		):






						'''simple docstring'''







						UpperCAmelCase_								=     self.head
						while self.head:
							yield node.data
							UpperCAmelCase_								=     node.next
							if node == self.head:
								break





					def __len__(						self    :  Union[str, Any]		):






						'''simple docstring'''







						return sum(1 for _ in self		)





					def __repr__(						self    :  Tuple		):






						'''simple docstring'''







						return "->".join(str(__lowercase		) for item in iter(self		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  Tuple ,					__lowercase    :  Any		):






						'''simple docstring'''







						self.insert_nth(len(self		) ,					__lowercase		)





					def        SCREAMING_SNAKE_CASE							(						self    :  Optional[int] ,					__lowercase    :  Any		):






						'''simple docstring'''







						self.insert_nth(0 ,					__lowercase		)





					def        SCREAMING_SNAKE_CASE							(						self    :  str ,					__lowercase    :  int ,					__lowercase    :  Any		):






						'''simple docstring'''







						if index < 0 or index > len(self		):
							raise IndexError("""list index out of range."""		)
						UpperCAmelCase_								=     Node(__lowercase		)
						if self.head is None:
							UpperCAmelCase_								=     new_node  # first node points itself
							UpperCAmelCase_								=     UpperCAmelCase_								=     new_node
						elif index == 0:  # insert at head
							UpperCAmelCase_								=     self.head
							UpperCAmelCase_								=     UpperCAmelCase_								=     new_node
						else:
							UpperCAmelCase_								=     self.head
							for _ in range(index - 1		):
								UpperCAmelCase_								=     temp.next
							UpperCAmelCase_								=     temp.next
							UpperCAmelCase_								=     new_node
							if index == len(self		) - 1:  # insert at tail
								UpperCAmelCase_								=     new_node





					def        SCREAMING_SNAKE_CASE							(						self    :  Dict		):






						'''simple docstring'''







						return self.delete_nth(0		)





					def        SCREAMING_SNAKE_CASE							(						self    :  int		):






						'''simple docstring'''







						return self.delete_nth(len(self		) - 1		)





					def        SCREAMING_SNAKE_CASE							(						self    :  int ,					__lowercase    :  int = 0		):






						'''simple docstring'''







						if not 0 <= index < len(self		):
							raise IndexError("""list index out of range."""		)
						UpperCAmelCase_								=     self.head
						if self.head == self.tail:  # just one node
							UpperCAmelCase_								=     UpperCAmelCase_								=     None
						elif index == 0:  # delete head node
							UpperCAmelCase_								=     self.tail.next.next
							UpperCAmelCase_								=     self.head.next
						else:
							UpperCAmelCase_								=     self.head
							for _ in range(index - 1		):
								UpperCAmelCase_								=     temp.next
							UpperCAmelCase_								=     temp.next
							UpperCAmelCase_								=     temp.next.next
							if index == len(self		) - 1:  # delete at tail
								UpperCAmelCase_								=     temp
						return delete_node.data





					def        SCREAMING_SNAKE_CASE							(						self    :  Union[str, Any]		):






						'''simple docstring'''







						return len(self		) == 0




def    A_(			):
	UpperCAmelCase_								=     CircularLinkedList()
	assert len(A   ) == 0
	assert circular_linked_list.is_empty() is True
	assert str(A   ) == ""

	try:
		circular_linked_list.delete_front()
		raise AssertionError  # This should not happen
	except IndexError:
		assert True  # This should happen

	try:
		circular_linked_list.delete_tail()
		raise AssertionError  # This should not happen
	except IndexError:
		assert True  # This should happen

	try:
		circular_linked_list.delete_nth(-1   )
		raise AssertionError
	except IndexError:
		assert True

	try:
		circular_linked_list.delete_nth(0   )
		raise AssertionError
	except IndexError:
		assert True

	assert circular_linked_list.is_empty() is True
	for i in range(5   ):
		assert len(A   ) == i
		circular_linked_list.insert_nth(A				,      i + 1   )
	assert str(A   ) == "->".join(str(A   ) for i in range(1				,      6   )   )

	circular_linked_list.insert_tail(6   )
	assert str(A   ) == "->".join(str(A   ) for i in range(1				,      7   )   )
	circular_linked_list.insert_head(0   )
	assert str(A   ) == "->".join(str(A   ) for i in range(0				,      7   )   )

	assert circular_linked_list.delete_front() == 0
	assert circular_linked_list.delete_tail() == 6
	assert str(A   ) == "->".join(str(A   ) for i in range(1				,      6   )   )
	assert circular_linked_list.delete_nth(2   ) == 3

	circular_linked_list.insert_nth(2				,      3   )
	assert str(A   ) == "->".join(str(A   ) for i in range(1				,      6   )   )

	assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
				import doctest

				doctest.testmod()









import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases




def    A_(			A				,      A   ):
	assert isinstance(A				,      A   )
	assert dataset.num_rows == 4
	assert dataset.num_columns == 1
	assert dataset.column_names == ["text"]
	for feature, expected_dtype in expected_features.items():
		assert dataset.features[feature].dtype == expected_dtype




@pytest.mark.parametrize("""keep_in_memory"""				,      [False, True]   )
def    A_(			A				,      A				,      A   ):
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		UpperCAmelCase_								=     TextDatasetReader(A				,      cache_dir=A				,      keep_in_memory=A   ).read()
	_check_text_dataset(A				,      A   )




@pytest.mark.parametrize(
    """features"""				,      [
        None,
        {"""text""": """string"""},
        {"""text""": """int32"""},
        {"""text""": """float32"""},
    ]				,      )
def    A_(			A				,      A				,      A   ):
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	UpperCAmelCase_								=     features.copy() if features else default_expected_features
	UpperCAmelCase_								=     (
	    Features({feature: Value(A   ) for feature, dtype in features.items()}   ) if features is not None else None
	)
	UpperCAmelCase_								=     TextDatasetReader(A				,      features=A				,      cache_dir=A   ).read()
	_check_text_dataset(A				,      A   )




@pytest.mark.parametrize("""split"""				,      [None, NamedSplit("""train"""   ), """train""", """test"""]   )
def    A_(			A				,      A				,      A   ):
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	UpperCAmelCase_								=     TextDatasetReader(A				,      cache_dir=A				,      split=A   ).read()
	_check_text_dataset(A				,      A   )
	assert dataset.split == split if split else "train"




@pytest.mark.parametrize("""path_type"""				,      [str, list]   )
def    A_(			A				,      A				,      A   ):
	if issubclass(A				,      A   ):
		UpperCAmelCase_								=     text_path
	elif issubclass(A				,      A   ):
		UpperCAmelCase_								=     [text_path]
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	UpperCAmelCase_								=     TextDatasetReader(A				,      cache_dir=A   ).read()
	_check_text_dataset(A				,      A   )




def    A_(			A				,      A				,      A=("train",)   ):
	assert isinstance(A				,      A   )
	for split in splits:
		UpperCAmelCase_								=     dataset_dict[split]
		assert dataset.num_rows == 4
		assert dataset.num_columns == 1
		assert dataset.column_names == ["text"]
		for feature, expected_dtype in expected_features.items():
			assert dataset.features[feature].dtype == expected_dtype




@pytest.mark.parametrize("""keep_in_memory"""				,      [False, True]   )
def    A_(			A				,      A				,      A   ):
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		UpperCAmelCase_								=     TextDatasetReader({"""train""": text_path}				,      cache_dir=A				,      keep_in_memory=A   ).read()
	_check_text_datasetdict(A				,      A   )




@pytest.mark.parametrize(
    """features"""				,      [
        None,
        {"""text""": """string"""},
        {"""text""": """int32"""},
        {"""text""": """float32"""},
    ]				,      )
def    A_(			A				,      A				,      A   ):
	UpperCAmelCase_								=     tmp_path / """cache"""
	# CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
	UpperCAmelCase_								=     {"""text""": """string"""}
	UpperCAmelCase_								=     features.copy() if features else default_expected_features
	UpperCAmelCase_								=     (
	    Features({feature: Value(A   ) for feature, dtype in features.items()}   ) if features is not None else None
	)
	UpperCAmelCase_								=     TextDatasetReader({"""train""": text_path}				,      features=A				,      cache_dir=A   ).read()
	_check_text_datasetdict(A				,      A   )




@pytest.mark.parametrize("""split"""				,      [None, NamedSplit("""train"""   ), """train""", """test"""]   )
def    A_(			A				,      A				,      A   ):
	if split:
		UpperCAmelCase_								=     {split: text_path}
	else:
		UpperCAmelCase_								=     """train"""
		UpperCAmelCase_								=     {"""train""": text_path, """test""": text_path}
	UpperCAmelCase_								=     tmp_path / """cache"""
	UpperCAmelCase_								=     {"""text""": """string"""}
	UpperCAmelCase_								=     TextDatasetReader(A				,      cache_dir=A   ).read()
	_check_text_datasetdict(A				,      A				,      splits=list(path.keys()   )   )
	assert all(dataset[split].split == split for split in path.keys()   )


