'''simple docstring'''




from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass




@dataclass
class 	__UpperCAmelCase				:





       '''simple docstring'''



       __lowercase					:					int
       __lowercase					:					TreeNode | None    =				None
       __lowercase					:					TreeNode | None    =				None





def      _UpperCAmelCase    (							)	->      TreeNode:
    return TreeNode(3,   TreeNode(9   ),   TreeNode(20,   TreeNode(15   ),   TreeNode(7   )   )   )





def      _UpperCAmelCase    (							_UpperCamelCase    :	TreeNode   )	->      list[int]:

    def depth_first_search(
        _UpperCamelCase    :	TreeNode | None,   _UpperCamelCase    :	int,   _UpperCamelCase    :	list[int]   ) -> None:
        if not root:
            return

        if depth == len(_UpperCamelCase   ):
            right_view.append(root.val   )

        depth_first_search(root.right,   depth + 1,   _UpperCamelCase   )
        depth_first_search(root.left,   depth + 1,   _UpperCamelCase   )

    A_     =   []
    if not root:
        return right_view

    depth_first_search(_UpperCamelCase,   0,   _UpperCamelCase   )
    return right_view





def      _UpperCAmelCase    (							_UpperCamelCase    :	TreeNode   )	->      list[int]:

    def depth_first_search(
        _UpperCamelCase    :	TreeNode | None,   _UpperCamelCase    :	int,   _UpperCamelCase    :	list[int]   ) -> None:
        if not root:
            return

        if depth == len(_UpperCamelCase   ):
            left_view.append(root.val   )

        depth_first_search(root.left,   depth + 1,   _UpperCamelCase   )
        depth_first_search(root.right,   depth + 1,   _UpperCamelCase   )

    A_     =   []
    if not root:
        return left_view

    depth_first_search(_UpperCamelCase,   0,   _UpperCamelCase   )
    return left_view





def      _UpperCAmelCase    (							_UpperCamelCase    :	TreeNode   )	->      list[int]:

    def breadth_first_search(_UpperCamelCase    :	TreeNode,   _UpperCamelCase    :	list[int]   ) -> None:
        A_     =   [(root, 0)]
        A_     =   defaultdict(_UpperCamelCase   )

        while queue:
            A_     =   queue.pop(0   )
            A_   ,A_     =   first

            lookup[hd].append(node.val   )

            if node.left:
                queue.append((node.left, hd - 1)   )
            if node.right:
                queue.append((node.right, hd + 1)   )

        for pair in sorted(lookup.items(),   key=lambda _UpperCamelCase   : each[0]   ):
            top_view.append(pair[1][0]   )

    A_     =   []
    if not root:
        return top_view

    breadth_first_search(_UpperCamelCase,   _UpperCamelCase   )
    return top_view





def      _UpperCAmelCase    (							_UpperCamelCase    :	TreeNode   )	->      list[int]:
    from collections import defaultdict

    def breadth_first_search(_UpperCamelCase    :	TreeNode,   _UpperCamelCase    :	list[int]   ) -> None:
        A_     =   [(root, 0)]
        A_     =   defaultdict(_UpperCamelCase   )

        while queue:
            A_     =   queue.pop(0   )
            A_   ,A_     =   first
            lookup[hd].append(node.val   )

            if node.left:
                queue.append((node.left, hd - 1)   )
            if node.right:
                queue.append((node.right, hd + 1)   )

        for pair in sorted(lookup.items(),   key=lambda _UpperCamelCase   : each[0]   ):
            bottom_view.append(pair[1][-1]   )

    A_     =   []
    if not root:
        return bottom_view

    breadth_first_search(_UpperCamelCase,   _UpperCamelCase   )
    return bottom_view


if __name__ == "__main__":
  import doctest

  doctest.testmod()









"""simple docstring"""




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    __SCREAMING_SNAKE_CASE						(						lowercase__      ):
					"""simple docstring"""
					A			=					tmp_path / "text.txt"
					A			=					textwrap.dedent(
					    "\\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n\n        Second paragraph:\n        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\n        Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.\n        Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\n        Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\n        "      )
					with open(lowercase__			,							"w"			,							encoding="utf-8"      ) as f:
										f.write(lowercase__      )
					return str(lowercase__      )
@pytest.fixture
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					A			=					tmp_path / "text_with_image.txt"
					with open(lowercase__			,							"w"			,							encoding="utf-8"      ) as f:
										f.write(lowercase__      )
					return str(lowercase__      )
@pytest.mark.parametrize("keep_linebreaks"			,							[True, False]      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read().splitlines(keepends=lowercase__      )
					A			=					Text(keep_linebreaks=lowercase__			,							encoding="utf-8"      )
					A			=					text._generate_tables([[text_file]]      )
					A			=					pa.concat_tables([table for _, table in generator]      ).to_pydict()["text"]
					assert generated_content == expected_content
@require_pil
def    __SCREAMING_SNAKE_CASE						(						lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read().splitlines()[0]
					A			=					Text(encoding="utf-8"			,							features=Features({"image": Image()}      )      )
					A			=					text._generate_tables([[text_file_with_image]]      )
					A			=					pa.concat_tables([table for _, table in generator]      )
					assert pa_table.schema.field("image"      ).type == Image()()
					A			=					pa_table.to_pydict()["image"]
					assert generated_content == [{"path": image_file, "bytes": None}]
@pytest.mark.parametrize("sample_by"			,							["line", "paragraph", "document"]      )
def    __SCREAMING_SNAKE_CASE						(						lowercase__			,							lowercase__      ):
					"""simple docstring"""
					with open(lowercase__			,							encoding="utf-8"      ) as f:
										A			=					f.read()
					if sample_by == "line":
										A			=					expected_content.splitlines()
					elif sample_by == "paragraph":
										A			=					expected_content.split("\n\n"      )
					elif sample_by == "document":
										A			=					[expected_content]
					A			=					Text(sample_by=lowercase__			,							encoding="utf-8"			,							chunksize=100      )
					A			=					text._generate_tables([[text_file]]      )
					A			=					pa.concat_tables([table for _, table in generator]      ).to_pydict()["text"]
					assert generated_content == expected_content





