import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class __snake_case				(						lowerCamelCase_   ,		unittest.TestCase		):
   lowerCAmelCase_														=							CTRLTokenizer
   lowerCAmelCase_														=							False
   lowerCAmelCase_														=							False




   def 	__a						(    self			:				Any      ):



     """simple docstring"""






     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     SCREAMING_SNAKE_CASE__										=      ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
     SCREAMING_SNAKE_CASE__										=      dict(zip(_a       ,	range(len(_a      )      )      )      )
     SCREAMING_SNAKE_CASE__										=      ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
     SCREAMING_SNAKE_CASE__										=      {"unk_token": "<unk>"}

     SCREAMING_SNAKE_CASE__										=      os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""vocab_file"""]      )
     SCREAMING_SNAKE_CASE__										=      os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""merges_file"""]      )
     with open(self.vocab_file       ,	"""w"""       ,	encoding="""utf-8"""      ) as fp:
       fp.write(json.dumps(_a      ) + """\n"""      )
     with open(self.merges_file       ,	"""w"""       ,	encoding="""utf-8"""      ) as fp:
       fp.write("""\n""".join(_a      )      )




   def 	__a						(    self			:				Tuple       ,	**_lowercase			:				Optional[Any]      ):



     """simple docstring"""






     kwargs.update(self.special_tokens_map      )
     return CTRLTokenizer.from_pretrained(self.tmpdirname       ,	**_a      )




   def 	__a						(    self			:				Union[str, Any]       ,	_lowercase			:				Union[str, Any]      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      "adapt react readapt apt"
     SCREAMING_SNAKE_CASE__										=      "adapt react readapt apt"
     return input_text, output_text




   def 	__a						(    self			:				int      ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__										=      CTRLTokenizer(self.vocab_file       ,	self.merges_file       ,	**self.special_tokens_map      )
     SCREAMING_SNAKE_CASE__										=      "adapt react readapt apt"
     SCREAMING_SNAKE_CASE__										=      "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
     SCREAMING_SNAKE_CASE__										=      tokenizer.tokenize(_a      )
     self.assertListEqual(_a       ,	_a      )

     SCREAMING_SNAKE_CASE__										=      tokens + [tokenizer.unk_token]

     SCREAMING_SNAKE_CASE__										=      [0, 1, 2, 4, 5, 1, 0, 3, 6]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_a      )       ,	_a      )


from __future__ import annotations





class       _snake_case					:







			def __init__(				self						,   _a		):
				__magic_name__		:		Optional[Any]	   =     data
				__magic_name__		:		Node | None	   =     None
				__magic_name__		:		Node | None	   =     None







def   lowerCAmelCase_						(					_snake_case      :  Node | None   )				->		None:  # In Order traversal of the tree







	'''simple docstring'''


	if tree:
		display(tree.left   )
		print(tree.data   )
		display(tree.right   )






def   lowerCAmelCase_						(					_snake_case      :  Node | None   )				->		int:







	'''simple docstring'''


	return 1 + max(depth_of_tree(tree.left   )      ,   depth_of_tree(tree.right   )   ) if tree else 0






def   lowerCAmelCase_						(					_snake_case      :  Node   )				->		bool:







	'''simple docstring'''


	if not tree:
		return True
	if tree.left and tree.right:
		return is_full_binary_tree(tree.left   ) and is_full_binary_tree(tree.right   )
	else:
		return not tree.left and not tree.right






def   lowerCAmelCase_						(					)				->		None:  # Main function for testing.







	'''simple docstring'''


	__magic_name__		:		int	   =     Node(1   )
	__magic_name__		:		Union[str, Any]	   =     Node(2   )
	__magic_name__		:		Tuple	   =     Node(3   )
	__magic_name__		:		Optional[Any]	   =     Node(4   )
	__magic_name__		:		Union[str, Any]	   =     Node(5   )
	__magic_name__		:		Any	   =     Node(6   )
	__magic_name__		:		int	   =     Node(7   )
	__magic_name__		:		List[str]	   =     Node(8   )
	__magic_name__		:		Union[str, Any]	   =     Node(9   )

	print(is_full_binary_tree(_snake_case   )   )
	print(depth_of_tree(_snake_case   )   )
	print("Tree is: "   )
	display(_snake_case   )


if __name__ == "__main__":
				main()
