



'''simple docstring'''

import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class 	__magic_name__						(    _UpperCamelCase			,						unittest.TestCase   ):
							lowerCAmelCase       :    Any   				=					RoCBertTokenizer
							lowerCAmelCase       :    List[str]   				=					None
							lowerCAmelCase       :    Dict   				=					False
							lowerCAmelCase       :    Optional[int]   				=					True
							lowerCAmelCase       :    int   				=					filter_non_english







							def 							__lowercase			(							self					:       Tuple		):
									super().setUp()

									_a     :      Union[str, Any]        =							['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
									_a     :      Optional[Any]        =							{}
									_a     :      List[str]        =							{}
									for i, value in enumerate(_UpperCAmelCase		):
											_a     :      Optional[Any]        =							i
											_a     :      Optional[int]        =							i
									_a     :      int        =							os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['vocab_file']		)
									_a     :      Union[str, Any]        =							os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['word_shape_file']		)
									_a     :      Any        =							os.path.join(self.tmpdirname	,VOCAB_FILES_NAMES['word_pronunciation_file']		)
									with open(self.vocab_file	,'w'	,encoding='utf-8'		) as vocab_writer:
											vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]		)		)
									with open(self.word_shape_file	,'w'	,encoding='utf-8'		) as word_shape_writer:
											json.dump(_UpperCAmelCase	,_UpperCAmelCase	,ensure_ascii=_UpperCAmelCase		)
									with open(self.word_pronunciation_file	,'w'	,encoding='utf-8'		) as word_pronunciation_writer:
											json.dump(_UpperCAmelCase	,_UpperCAmelCase	,ensure_ascii=_UpperCAmelCase		)







							def 							__lowercase			(							self					:       Tuple		):
									_a     :      int        =							self.tokenizer_class(self.vocab_file	,self.word_shape_file	,self.word_pronunciation_file		)

									_a     :      Optional[int]        =							tokenizer.tokenize('你好[SEP]你是谁'		)
									self.assertListEqual(_UpperCAmelCase	,['你', '好', '[SEP]', '你', '是', '谁']		)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)	,[5, 6, 2, 5, 7, 8]		)
									self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_UpperCAmelCase		)	,[5, 6, 2, 5, 7, 8]		)
									self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_UpperCAmelCase		)	,[5, 6, 2, 5, 7, 8]		)







							def 							__lowercase			(							self					:       Dict		):
									_a     :      int        =							RoCBertBasicTokenizer()

									self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'		)	,['ah', '\u535A', '\u63A8', 'zz']		)







							def 							__lowercase			(							self					:       Union[str, Any]		):
									_a     :      Optional[Any]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '		)	,['hello', '!', 'how', 'are', 'you', '?']		)
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)	,['hello']		)







							def 							__lowercase			(							self					:       Union[str, Any]		):
									_a     :      List[str]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)	,['hällo', '!', 'how', 'are', 'you', '?']		)
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)	,['h\u00E9llo']		)







							def 							__lowercase			(							self					:       List[str]		):
									_a     :      Dict        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)	,['hallo', '!', 'how', 'are', 'you', '?']		)
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)	,['hello']		)







							def 							__lowercase			(							self					:       str		):
									_a     :      Dict        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)	,['hallo', '!', 'how', 'are', 'you', '?']		)
									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'		)	,['hello']		)







							def 							__lowercase			(							self					:       Optional[Any]		):
									_a     :      Optional[Any]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '		)	,['HeLLo', '!', 'how', 'Are', 'yoU', '?']		)







							def 							__lowercase			(							self					:       Optional[Any]		):
									_a     :      List[str]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)	,['HäLLo', '!', 'how', 'Are', 'yoU', '?']		)







							def 							__lowercase			(							self					:       Optional[int]		):
									_a     :      Optional[Any]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '		)	,['HaLLo', '!', 'how', 'Are', 'yoU', '?']		)







							def 							__lowercase			(							self					:       Any		):
									_a     :      Optional[Any]        =							RoCBertBasicTokenizer(do_lower_case=_UpperCAmelCase	,never_split=['[UNK]']		)

									self.assertListEqual(
									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'		)	,['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']		)







							def 							__lowercase			(							self					:       Dict		):
									_a     :      int        =							['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

									_a     :      Optional[int]        =							{}
									for i, token in enumerate(_UpperCAmelCase		):
											_a     :      List[str]        =							i
									_a     :      Tuple        =							RoCBertWordpieceTokenizer(vocab=_UpperCAmelCase	,unk_token='[UNK]'		)

									self.assertListEqual(tokenizer.tokenize(''		)	,[]		)

									self.assertListEqual(tokenizer.tokenize('unwanted running'		)	,['un', '##want', '##ed', 'runn', '##ing']		)

									self.assertListEqual(tokenizer.tokenize('unwantedX running'		)	,['[UNK]', 'runn', '##ing']		)







							def 							__lowercase			(							self					:       Tuple		):
									self.assertTrue(_is_whitespace(' '		)		)
									self.assertTrue(_is_whitespace('\t'		)		)
									self.assertTrue(_is_whitespace('\r'		)		)
									self.assertTrue(_is_whitespace('\n'		)		)
									self.assertTrue(_is_whitespace('\u00A0'		)		)

									self.assertFalse(_is_whitespace('A'		)		)
									self.assertFalse(_is_whitespace('-'		)		)







							def 							__lowercase			(							self					:       List[str]		):
									self.assertTrue(_is_control('\u0005'		)		)

									self.assertFalse(_is_control('A'		)		)
									self.assertFalse(_is_control(' '		)		)
									self.assertFalse(_is_control('\t'		)		)
									self.assertFalse(_is_control('\r'		)		)







							def 							__lowercase			(							self					:       Optional[int]		):
									self.assertTrue(_is_punctuation('-'		)		)
									self.assertTrue(_is_punctuation('$'		)		)
									self.assertTrue(_is_punctuation('`'		)		)
									self.assertTrue(_is_punctuation('.'		)		)

									self.assertFalse(_is_punctuation('A'		)		)
									self.assertFalse(_is_punctuation(' '		)		)







							def 							__lowercase			(							self					:       Optional[int]		):
									_a     :      List[str]        =							self.get_tokenizer()

									# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
									self.assertListEqual([tokenizer.tokenize(_UpperCAmelCase		) for t in ['Test', '\xad', 'test']]	,[['[UNK]'], [], ['[UNK]']]		)

									if self.test_rust_tokenizer:
											_a     :      List[Any]        =							self.get_rust_tokenizer()
											self.assertListEqual(
											    [rust_tokenizer.tokenize(_UpperCAmelCase		) for t in ['Test', '\xad', 'test']]	,[['[UNK]'], [], ['[UNK]']]		)







							def 							__lowercase			(							self					:       int		):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
													_a     :      Any        =							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)

													_a     :      Optional[Any]        =							F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
													_a     :      str        =							tokenizer_r.encode_plus(
													    _UpperCAmelCase	,return_attention_mask=_UpperCAmelCase	,return_token_type_ids=_UpperCAmelCase	,return_offsets_mapping=_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase	,)

													_a     :      int        =							tokenizer_r.do_lower_case if hasattr(_UpperCAmelCase	,'do_lower_case'		) else False
													_a     :      Tuple        =							(
													    [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), 'A'),
													        ((1, 2), ','),
													        ((3, 5), 'na'),
													        ((5, 6), '##ï'),
													        ((6, 8), '##ve'),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), 'Allen'),
													        ((21, 23), '##NL'),
													        ((23, 24), '##P'),
													        ((25, 33), 'sentence'),
													        ((33, 34), '.'),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													    if not do_lower_case
													    else [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), 'a'),
													        ((1, 2), ','),
													        ((3, 8), 'naive'),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), 'allen'),
													        ((21, 23), '##nl'),
													        ((23, 24), '##p'),
													        ((25, 33), 'sentence'),
													        ((33, 34), '.'),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													)

													self.assertEqual(
													    [e[1] for e in expected_results]	,tokenizer_r.convert_ids_to_tokens(tokens['input_ids']		)		)
													self.assertEqual([e[0] for e in expected_results]	,tokens['offset_mapping']		)







							def 							__lowercase			(							self					:       Dict		):
									_a     :      Tuple        =							['的', '人', '有']
									_a     :      List[Any]        =							''.join(_UpperCAmelCase		)
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
													_a     :      Dict        =							True
													_a     :      Optional[int]        =							self.tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)
													_a     :      List[Any]        =							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)

													_a     :      Tuple        =							tokenizer_p.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
													_a     :      Optional[Any]        =							tokenizer_r.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													_a     :      List[Any]        =							tokenizer_r.convert_ids_to_tokens(_UpperCAmelCase		)
													_a     :      Optional[int]        =							tokenizer_p.convert_ids_to_tokens(_UpperCAmelCase		)

													# it is expected that each Chinese character is not preceded by "##"
													self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)
													self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

													_a     :      int        =							False
													_a     :      Optional[Any]        =							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)
													_a     :      Dict        =							self.tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)

													_a     :      Any        =							tokenizer_r.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
													_a     :      str        =							tokenizer_p.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													_a     :      Optional[Any]        =							tokenizer_r.convert_ids_to_tokens(_UpperCAmelCase		)
													_a     :      str        =							tokenizer_p.convert_ids_to_tokens(_UpperCAmelCase		)

													# it is expected that only the first Chinese character is not preceded by "##".
													_a     :      int        =							[
													    F"""##{token}""" if idx != 0 else token for idx, token in enumerate(_UpperCAmelCase		)
													]
													self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)
													self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)







							@slow
							def 							__lowercase			(							self					:       str		):
									_a     :      int        =							self.tokenizer_class(self.vocab_file	,self.word_shape_file	,self.word_pronunciation_file		)

									_a     :      Optional[int]        =							tokenizer.encode('你好'	,add_special_tokens=_UpperCAmelCase		)
									_a     :      Any        =							tokenizer.encode('你是谁'	,add_special_tokens=_UpperCAmelCase		)

									_a     :      Tuple        =							tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase		)
									_a     :      str        =							tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase	,_UpperCAmelCase		)

									assert encoded_sentence == [1] + text + [2]
									assert encoded_pair == [1] + text + [2] + text_a + [2]







							def 							__lowercase			(							self					:       List[Any]		):
									_a     :      int        =							self.get_tokenizers(do_lower_case=_UpperCAmelCase		)
									for tokenizer in tokenizers:
											with self.subTest(F"""{tokenizer.__class__.__name__}"""		):
													_a     :      Optional[Any]        =							'你好，你是谁'
													_a     :      Optional[int]        =							tokenizer.tokenize(_UpperCAmelCase		)
													_a     :      int        =							tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)
													_a     :      List[str]        =							tokenizer.convert_tokens_to_shape_ids(_UpperCAmelCase		)
													_a     :      List[str]        =							tokenizer.convert_tokens_to_pronunciation_ids(_UpperCAmelCase		)
													_a     :      List[str]        =							tokenizer.prepare_for_model(
													    _UpperCAmelCase	,_UpperCAmelCase	,_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													_a     :      Dict        =							tokenizer.encode_plus(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													self.assertEqual(_UpperCAmelCase	,_UpperCAmelCase		)









'''simple docstring'''

__lowerCAmelCase									=   {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      list[str]:
		_a     :      List[Any]        =							set()
		# keep track of all the paths to be checked
		_a     :      Any        =							[[start]]

		# return path if start is goal
		if start == goal:
				return [start]

		# keeps looping until all possible paths have been checked
		while queue:
				# pop the first path from the queue
				_a     :      Tuple        =							queue.pop(0  )
				# get the last node from the path
				_a     :      Tuple        =							path[-1]
				if node not in explored:
						_a     :      Optional[Any]        =							graph[node]
						# go through all neighbour nodes, construct a new path and
						# push it into the queue
						for neighbour in neighbours:
								_a     :      Any        =							list(lowerCAmelCase_  )
								new_path.append(lowerCAmelCase_  )
								queue.append(lowerCAmelCase_  )
								# return path if neighbour is goal
								if neighbour == goal:
										return new_path

            # mark node as explored
						explored.add(lowerCAmelCase_  )

    # in case there's no path between the 2 nodes
		return []



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      int:
		if not graph or start not in graph or target not in graph:
				return -1
		if start == target:
				return 0
		_a     :      Optional[int]        =							[start]
		_a     :      Dict        =							set(lowerCAmelCase_  )
		# Keep tab on distances from `start` node.
		_a     :      Dict        =							{start: 0, target: -1}
		while queue:
				_a     :      List[str]        =							queue.pop(0  )
				if node == target:
						_a     :      Any        =							(
						    dist[node] if dist[target] == -1 else min(dist[target]						,			dist[node]  )
						)
				for adjacent in graph[node]:
						if adjacent not in visited:
								visited.add(lowerCAmelCase_  )
								queue.append(lowerCAmelCase_  )
								_a     :      Any        =							dist[node] + 1
		return dist[target]


if __name__ == "__main__":
							print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
							print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4




