


'''simple docstring'''


import json
import os
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin






class 	lowerCAmelCase__			(			UpperCAmelCase__    ,       unittest.TestCase	):
			lowerCAmelCase :	Optional[int]          =     CTRLTokenizer
			lowerCAmelCase :	int          =     False
			lowerCAmelCase :	List[str]          =     False




			def 							lowerCAmelCase__    (		self  :     List[str] )   ->List[str]:



					'''simple docstring'''







					super().setUp()

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

					_UpperCAmelCase		:       Any								=      os.path.join(self.tmpdirname	,  VOCAB_FILES_NAMES["vocab_file"] )
					_UpperCAmelCase		:       Optional[Any]								=      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(lowerCamelCase__ ) + "\n" )
					with open(self.merges_file	,  "w"	,  encoding="utf-8" ) as fp:
							fp.write("\n".join(lowerCamelCase__ ) )




			def 							lowerCAmelCase__    (		self  :     Optional[int]	,  **lowerCamelCase__  :     Optional[int] )   ->List[Any]:



					'''simple docstring'''







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




			def 							lowerCAmelCase__    (		self  :     List[Any]	,  lowerCamelCase__  :     Optional[Any] )   ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase		:       int								=      "adapt react readapt apt"
					_UpperCAmelCase		:       Optional[int]								=      "adapt react readapt apt"
					return input_text, output_text






			def 							lowerCAmelCase__    (		self  :     int )   ->Any:



					'''simple docstring'''







					_UpperCAmelCase		:       List[Any]								=      CTRLTokenizer(self.vocab_file	,  self.merges_file	,  **self.special_tokens_map )
					_UpperCAmelCase		:       int								=      "adapt react readapt apt"
					_UpperCAmelCase		:       List[str]								=      "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
					_UpperCAmelCase		:       str								=      tokenizer.tokenize(lowerCamelCase__ )
					self.assertListEqual(lowerCamelCase__	,  lowerCamelCase__ )

					_UpperCAmelCase		:       Tuple								=      tokens + [tokenizer.unk_token]

					_UpperCAmelCase		:       Optional[int]								=      [0, 1, 2, 4, 5, 1, 0, 3, 6]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__ )	,  lowerCamelCase__ )







'''simple docstring'''


def  __lowerCAmelCase (__lowerCAmelCase   ):  # noqa: E741
		_UpperCAmelCase		:       List[str]								=      len(__lowerCAmelCase   )
		_UpperCAmelCase		:       str								=      0
		_UpperCAmelCase		:       List[str]								=      [0] * n
		_UpperCAmelCase		:       int								=      [False] * n
		_UpperCAmelCase		:       Dict								=      [False] * n

		def dfs(__lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase   ):
				if parent == root:
						out_edge_count += 1
				_UpperCAmelCase		:       List[Any]								=      True
				_UpperCAmelCase		:       str								=      at

				for to in l[at]:
						if to == parent:
								pass
						elif not visited[to]:
								_UpperCAmelCase		:       List[str]								=      dfs(__lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase   )
								_UpperCAmelCase		:       Tuple								=      min(low[at]      , low[to]   )

								# AP found via bridge
								if at < low[to]:
										_UpperCAmelCase		:       Dict								=      True
								# AP found via cycle
								if at == low[to]:
										_UpperCAmelCase		:       Dict								=      True
						else:
								_UpperCAmelCase		:       Optional[int]								=      min(low[at]      , __lowerCAmelCase   )
				return out_edge_count

		for i in range(__lowerCAmelCase   ):
				if not visited[i]:
						_UpperCAmelCase		:       str								=      0
						_UpperCAmelCase		:       Tuple								=      dfs(__lowerCAmelCase      , __lowerCAmelCase      , -1      , __lowerCAmelCase   )
						_UpperCAmelCase		:       Optional[int]								=      out_edge_count > 1

		for x in range(len(__lowerCAmelCase   )   ):
				if is_art[x] is True:
						print(__lowerCAmelCase   )


# Adjacency list of graph
lowerCamelCase__    	=     {
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}





compute_ap(data)



