



import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class       _lowercase				(  lowerCAmelCase, unittest.TestCase      ):





	"""simple docstring"""
	__A		      =				BertweetTokenizer
	__A		      =				False




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						a   	=  ["I", "m", "V@@", "R@@", "r", "e@@"]
						a   	=  dict(zip(lowerCamelCase_						,			range(len(lowerCamelCase_						)						)						)						)
						a   	=  ["#version: 0.2", "a m</w>"]
						a   	=  {"unk_token": "<unk>"}

						a   	=  os.path.join(self.tmpdirname						,			VOCAB_FILES_NAMES["vocab_file"]						)
						a   	=  os.path.join(self.tmpdirname						,			VOCAB_FILES_NAMES["merges_file"]						)
						with open(self.vocab_file						,			"w"						,			encoding="utf-8"						) as fp:
											for token in vocab_tokens:
																fp.write(F'''{token} {vocab_tokens[token]}\n'''						)
						with open(self.merges_file						,			"w"						,			encoding="utf-8"						) as fp:
											fp.write("\n".join(lowerCamelCase_						)						)




	def 	UpperCamelCase_			(self						,			**lowerCamelCase_						):
						"""simple docstring"""

						kwargs.update(self.special_tokens_map						)
						return BertweetTokenizer.from_pretrained(self.tmpdirname						,			**lowerCamelCase_						)




	def 	UpperCamelCase_			(self						,			lowerCamelCase_						):
						"""simple docstring"""

						a   	=  "I am VinAI Research"
						a   	=  "I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
						return input_text, output_text




	def 	UpperCamelCase_			(self						):
						"""simple docstring"""

						a   	=  BertweetTokenizer(self.vocab_file						,			self.merges_file						,			**self.special_tokens_map						)
						a   	=  "I am VinAI Research"
						a   	=  "I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
						a   	=  tokenizer.tokenize(lowerCamelCase_						)
						self.assertListEqual(lowerCamelCase_						,			lowerCamelCase_						)

						a   	=  tokens + [tokenizer.unk_token]

						a   	=  [4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_						)						,			lowerCamelCase_						)





from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass



@dataclass
class       _lowercase				:





	"""simple docstring"""
	__A		      =				42
	__A		      =				None
	__A		      =				None






def        a( )						->			TreeNode:
					"""simple docstring"""





					return TreeNode(3					,	TreeNode(9			)					,	TreeNode(20					,	TreeNode(15			)					,	TreeNode(7			)			)			)






def        a( A			:       TreeNode			)						->			list[int]:
					"""simple docstring"""





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

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

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

					a   	=  []
					if not root:
										return right_view

					depth_first_search(A					,	0					,	A			)
					return right_view






def        a( A			:       TreeNode			)						->			list[int]:
					"""simple docstring"""





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

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

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

					a   	=  []
					if not root:
										return left_view

					depth_first_search(A					,	0					,	A			)
					return left_view






def        a( A			:       TreeNode			)						->			list[int]:
					"""simple docstring"""





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

										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 A			: each[0]			):
															top_view.append(pair[1][0]			)

					a   	=  []
					if not root:
										return top_view

					breadth_first_search(A					,	A			)
					return top_view






def        a( A			:       TreeNode			)						->			list[int]:
					"""simple docstring"""





					from collections import defaultdict

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

										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 A			: each[0]			):
															bottom_view.append(pair[1][-1]			)

					a   	=  []
					if not root:
										return bottom_view

					breadth_first_search(A					,	A			)
					return bottom_view


if __name__ == "__main__":
				import doctest

				doctest.testmod()
