






class      UpperCamelCase_							:




						def __init__(    self		,	lowercase       )			->						str:
													_a  :    List[str]			=						val
													# Number of nodes in left subtree
													_a  :    List[str]			=						0
													_a  :    Dict			=						None
													_a  :    int			=						None
													_a  :    Union[str, Any]			=						None







						def      snake_case__(    self		,	lowercase       )			->						str:
													assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

													if self.val < other.val:
																				_a  :    Tuple			=						self.right
																				_a  :    Optional[Any]			=						None
																				if self.right:
																											_a  :    Any			=						other
																				_a  :    Any			=						other
																				_a  :    Optional[int]			=						self.left_tree_size * 2 + 1
																				return self
													else:
																				_a  :    Union[str, Any]			=						other.right
																				_a  :    Optional[int]			=						None
																				if other.right:
																											_a  :    List[str]			=						self
																				_a  :    Dict			=						self
																				_a  :    List[str]			=						other.left_tree_size * 2 + 1
																				return other

class      UpperCamelCase_							:




						def __init__(    self		,	lowercase=None		,	lowercase=None		,	lowercase=0       )			->						Union[str, Any]:
													_a  :    Optional[Any]			=						heap_size
													_a  :    List[Any]			=						bottom_root
													_a  :    Optional[int]			=						min_node




						def      snake_case__(    self		,	lowercase       )			->						Tuple:

													# Empty heaps corner cases
													if other.size == 0:
																				return None
													if self.size == 0:
																				_a  :    List[str]			=						other.size
																				_a  :    Optional[int]			=						other.bottom_root
																				_a  :    List[str]			=						other.min_node
																				return None
													# Update size
													_a  :    Tuple			=						self.size + other.size

													# Update min.node
													if self.min_node.val > other.min_node.val:
																				_a  :    Any			=						other.min_node
													# Merge

													# Order roots by left_subtree_size
													_a  :    str			=						[]
													_a		,					_a  :    str			=						self.bottom_root, other.bottom_root
													while i or j:
																				if i and ((not j) or i.left_tree_size < j.left_tree_size):
																											combined_roots_list.append((i, True)       )
																											_a  :    str			=						i.parent
																				else:
																											combined_roots_list.append((j, False)       )
																											_a  :    str			=						j.parent
        # Insert links between them
													for i in range(len(lowercase       ) - 1       ):
																				if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
																											_a  :    Optional[int]			=						combined_roots_list[i + 1][0]
																											_a  :    Optional[int]			=						combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
													_a  :    Optional[Any]			=						combined_roots_list[0][0]
													while i.parent:
																				if (
																				    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
																				) or (
																				    i.left_tree_size == i.parent.left_tree_size
																				    and i.left_tree_size != i.parent.parent.left_tree_size
																				):
																											# Neighbouring Nodes
																											_a  :    Any			=						i.left
																											_a  :    Any			=						i.parent.parent

																											# Merging trees
																											_a  :    Dict			=						i.merge_trees(i.parent       )

																											# Updating links
																											_a  :    str			=						previous_node
																											_a  :    Optional[Any]			=						next_node
																											if previous_node:
																																		_a  :    Optional[Any]			=						i
																											if next_node:
																																		_a  :    int			=						i
																				else:
																											_a  :    str			=						i.parent
        # Updating self.bottom_root
													while i.left:
																				_a  :    int			=						i.left
													_a  :    Dict			=						i

													# Update other
													_a  :    int			=						self.size
													_a  :    Optional[Any]			=						self.bottom_root
													_a  :    Tuple			=						self.min_node

													# Return the merged heap
													return self




						def      snake_case__(    self		,	lowercase       )			->						Optional[Any]:
													if self.size == 0:
																				_a  :    List[Any]			=						Node(lowercase       )
																				_a  :    List[str]			=						1
																				_a  :    Optional[Any]			=						self.bottom_root
													else:
																				# Create new node
																				_a  :    List[Any]			=						Node(lowercase       )

																				# Update size
																				self.size += 1

																				# update min_node
																				if val < self.min_node.val:
																											_a  :    str			=						new_node
																				# Put new_node as a bottom_root in heap
																				_a  :    Dict			=						new_node
																				_a  :    int			=						self.bottom_root
																				_a  :    Dict			=						new_node

																				# Consecutively merge roots with same left_tree_size
																				while (
																				    self.bottom_root.parent
																				    and self.bottom_root.left_tree_size
																				    == self.bottom_root.parent.left_tree_size
																				):
																											# Next node
																											_a  :    List[Any]			=						self.bottom_root.parent.parent

																											# Merge
																											_a  :    Optional[int]			=						self.bottom_root.merge_trees(self.bottom_root.parent       )

																											# Update Links
																											_a  :    List[Any]			=						next_node
																											_a  :    Optional[int]			=						None
																											if next_node:
																																		_a  :    Dict			=						self.bottom_root




						def      snake_case__(    self       )			->						Union[str, Any]:
													return self.min_node.val




						def      snake_case__(    self       )			->						Any:
													return self.size == 0




						def      snake_case__(    self       )			->						Any:
													_a  :    int			=						self.min_node.val

													# Last element in heap corner case
													if self.size == 1:
																				# Update size
																				_a  :    int			=						0

																				# Update bottom root
																				_a  :    Optional[Any]			=						None

																				# Update min_node
																				_a  :    Dict			=						None

																				return min_value
													# No right subtree corner case
													# The structure of the tree implies that this should be the bottom root
													# and there is at least one other root
													if self.min_node.right is None:
																				# Update size
																				self.size -= 1

																				# Update bottom root
																				_a  :    str			=						self.bottom_root.parent
																				_a  :    Dict			=						None

																				# Update min_node
																				_a  :    Optional[int]			=						self.bottom_root
																				_a  :    Any			=						self.bottom_root.parent
																				while i:
																											if i.val < self.min_node.val:
																																		_a  :    Optional[int]			=						i
																											_a  :    List[Any]			=						i.parent
																				return min_value
													# General case
													# Find the BinomialHeap of the right subtree of min_node
													_a  :    Optional[int]			=						self.min_node.right
													_a  :    List[str]			=						None
													_a  :    Optional[Any]			=						bottom_of_new
													_a  :    Any			=						1

													# Size, min_node and bottom_root
													while bottom_of_new.left:
																				_a  :    Dict			=						size_of_new * 2 + 1
																				_a  :    Tuple			=						bottom_of_new.left
																				if bottom_of_new.val < min_of_new.val:
																											_a  :    List[str]			=						bottom_of_new
        # Corner case of single root on top left path
													if (not self.min_node.left) and (not self.min_node.parent):
																				_a  :    Any			=						size_of_new
																				_a  :    Dict			=						bottom_of_new
																				_a  :    Tuple			=						min_of_new
																				# print("Single root, multiple nodes case")
																				return min_value
													# Remaining cases
													# Construct heap of right subtree
													_a  :    Tuple			=						BinomialHeap(
													    bottom_root=lowercase		,	min_node=lowercase		,	heap_size=lowercase       )

													# Update size
													_a  :    Union[str, Any]			=						self.size - 1 - size_of_new

													# Neighbour nodes
													_a  :    str			=						self.min_node.left
													_a  :    Tuple			=						self.min_node.parent

													# Initialize new bottom_root and min_node
													_a  :    str			=						previous_node or next_node
													_a  :    Any			=						next_node

													# Update links of previous_node and search below for new min_node and
													# bottom_root
													if previous_node:
																				_a  :    Dict			=						next_node

																				# Update bottom_root and search for min_node below
																				_a  :    Dict			=						previous_node
																				_a  :    List[str]			=						previous_node
																				while self.bottom_root.left:
																											_a  :    str			=						self.bottom_root.left
																											if self.bottom_root.val < self.min_node.val:
																																		_a  :    Tuple			=						self.bottom_root
													if next_node:
																				_a  :    Any			=						previous_node

																				# Search for new min_node above min_node
																				_a  :    List[Any]			=						next_node
																				while i:
																											if i.val < self.min_node.val:
																																		_a  :    Dict			=						i
																											_a  :    Union[str, Any]			=						i.parent
        # Merge heaps
													self.merge_heaps(lowercase       )

													return min_value




						def      snake_case__(    self       )			->						str:
													_a  :    Dict			=						self.bottom_root
													while top_root.parent:
																				_a  :    List[Any]			=						top_root.parent
													# preorder
													_a  :    Optional[Any]			=						[]
													self.__traversal(lowercase		,	lowercase       )
													return heap_pre_order




						def      snake_case__(    self		,	lowercase		,	lowercase		,	lowercase=0       )			->						Any:
													if curr_node:
																				preorder.append((curr_node.val, level)       )
																				self.__traversal(curr_node.left		,	lowercase		,	level + 1       )
																				self.__traversal(curr_node.right		,	lowercase		,	level + 1       )
													else:
																				preorder.append(('''#''', level)       )







						def __str__(    self       )			->						Dict:
													if self.is_empty():
																				return ""
													_a  :    Optional[int]			=						self.pre_order()

													return "\n".join(('''-''' * level + str(lowercase       )) for value, level in preorder_heap       )


# Unit Tests
if __name__ == "__main__":
						import doctest

						doctest.testmod()







import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Image
from datasets.packaged_modules.text.text import Text

from ..utils import require_pil






@pytest.fixture
def    UpperCamelCase__  (   UpperCAmelCase     )     ->		Union[str, Any]:







							"""simple docstring"""





							_a  :    Tuple			=						tmp_path / '''text.txt'''
							_a  :    Dict			=						textwrap.dedent(
							    '''\
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

        Second paragraph:
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
        '''     )
							with open(UpperCAmelCase    ,	'''w'''    ,	encoding='''utf-8'''     ) as f:
														f.write(UpperCAmelCase     )
							return str(UpperCAmelCase     )






@pytest.fixture
def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase     )     ->		Optional[int]:







							"""simple docstring"""





							_a  :    List[Any]			=						tmp_path / '''text_with_image.txt'''
							with open(UpperCAmelCase    ,	'''w'''    ,	encoding='''utf-8'''     ) as f:
														f.write(UpperCAmelCase     )
							return str(UpperCAmelCase     )






@pytest.mark.parametrize('''keep_linebreaks'''    ,	[True, False]     )
def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase     )     ->		Any:







							"""simple docstring"""





							with open(UpperCAmelCase    ,	encoding='''utf-8'''     ) as f:
														_a  :    str			=						f.read().splitlines(keepends=UpperCAmelCase     )
							_a  :    Tuple			=						Text(keep_linebreaks=UpperCAmelCase    ,	encoding='''utf-8'''     )
							_a  :    Optional[Any]			=						text._generate_tables([[text_file]]     )
							_a  :    str			=						pa.concat_tables([table for _, table in generator]     ).to_pydict()['''text''']
							assert generated_content == expected_content






@require_pil
def    UpperCamelCase__  (   UpperCAmelCase     )     ->		List[str]:







							"""simple docstring"""





							with open(UpperCAmelCase    ,	encoding='''utf-8'''     ) as f:
														_a  :    str			=						f.read().splitlines()[0]
							_a  :    Dict			=						Text(encoding='''utf-8'''    ,	features=Features({'''image''': Image()}     )     )
							_a  :    str			=						text._generate_tables([[text_file_with_image]]     )
							_a  :    int			=						pa.concat_tables([table for _, table in generator]     )
							assert pa_table.schema.field('''image'''     ).type == Image()()
							_a  :    Optional[int]			=						pa_table.to_pydict()['''image''']
							assert generated_content == [{"path": image_file, "bytes": None}]







@pytest.mark.parametrize('''sample_by'''    ,	['''line''', '''paragraph''', '''document''']     )
def    UpperCamelCase__  (   UpperCAmelCase    ,	UpperCAmelCase     )     ->		Optional[Any]:







							"""simple docstring"""





							with open(UpperCAmelCase    ,	encoding='''utf-8'''     ) as f:
														_a  :    Any			=						f.read()
							if sample_by == "line":
														_a  :    Any			=						expected_content.splitlines()
							elif sample_by == "paragraph":
														_a  :    Tuple			=						expected_content.split('''\n\n'''     )
							elif sample_by == "document":
														_a  :    Dict			=						[expected_content]
							_a  :    Dict			=						Text(sample_by=UpperCAmelCase    ,	encoding='''utf-8'''    ,	chunksize=100     )
							_a  :    Optional[int]			=						text._generate_tables([[text_file]]     )
							_a  :    List[Any]			=						pa.concat_tables([table for _, table in generator]     ).to_pydict()['''text''']
							assert generated_content == expected_content