


import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin



class        a					(			_UpperCAmelCase     ,unittest.TestCase   ):
     UpperCAmelCase__ :  List[Any]						      =	ProphetNetTokenizer
     UpperCAmelCase__ :  Dict						      =	False





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        super().setUp()

        __lowerCamelCase:				List[Any]     =	[
            """[UNK]""",
            """[CLS]""",
            """[SEP]""",
            """[PAD]""",
            """[MASK]""",
            """want""",
            """##want""",
            """##ed""",
            """wa""",
            """un""",
            """runn""",
            """##ing""",
            """,""",
            """low""",
            """lowest""",
        ]
        __lowerCamelCase:				str     =	os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["""vocab_file"""]							)
        with open(self.vocab_file    ,	"""w"""    ,	encoding="""utf-8"""							) as vocab_writer:
           vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]							)							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				str    ,	SCREAMING_SNAKE_CASE_					:				Tuple							):
        __lowerCamelCase:				Dict     =	"""UNwant\u00E9d,running"""
        __lowerCamelCase:				str     =	"""unwanted, running"""
        return input_text, output_text





     def  SCREAMING_SNAKE_CASE__       (    self					:				Tuple							):
        __lowerCamelCase:				Optional[int]     =	self.tokenizer_class(self.vocab_file							)

        __lowerCamelCase:				int     =	tokenizer.tokenize("""UNwant\u00E9d,running"""							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]							)
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_							)    ,	[9, 6, 7, 12, 10, 11]							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				List[str]     =	BasicTokenizer()

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        __lowerCamelCase:				int     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]							):
        __lowerCamelCase:				Optional[Any]     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	strip_accents=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Tuple							):
        __lowerCamelCase:				str     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	strip_accents=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        __lowerCamelCase:				List[Any]     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Union[str, Any]							):
        __lowerCamelCase:				Optional[int]     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        __lowerCamelCase:				Optional[Any]     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	strip_accents=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]							):
        __lowerCamelCase:				Dict     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	strip_accents=SCREAMING_SNAKE_CASE_							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        __lowerCamelCase:				int     =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_    ,	never_split=["""[UNK]"""]							)

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





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				Optional[int]     =	["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

        __lowerCamelCase:				Optional[Any]     =	{}
        for i, token in enumerate(SCREAMING_SNAKE_CASE_							):
           __lowerCamelCase:				Any     =	i
        __lowerCamelCase:				List[Any]     =	WordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE_    ,	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"""]							)





     @require_torch
     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[int]							):
        __lowerCamelCase:				Any     =	self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""							)

        __lowerCamelCase:				Tuple     =	["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
        __lowerCamelCase:				List[str]     =	[1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
        __lowerCamelCase:				List[str]     =	tokenizer(SCREAMING_SNAKE_CASE_    ,	padding=SCREAMING_SNAKE_CASE_    ,	return_tensors="""pt"""							)
        self.assertIsInstance(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[int]     =	list(batch.input_ids.numpy()[0]							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        self.assertEqual((2, 9)    ,	batch.input_ids.shape							)
        self.assertEqual((2, 9)    ,	batch.attention_mask.shape							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        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  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        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  SCREAMING_SNAKE_CASE__       (    self					:				Dict							):
        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(""" """							)							)







     @slow
     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        __lowerCamelCase:				Any     =	self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""							)

        __lowerCamelCase:				Optional[int]     =	tokenizer.encode("""sequence builders"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Tuple     =	tokenizer.encode("""multi-sequence build"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				List[str]     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				str     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        assert encoded_sentence == text + [102]
        assert encoded_pair == text + [102] + text_a + [102]






from __future__ import annotations

_A		:				List[str]									=       {
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}



class        a					:





     def __init__(    self					:				Any    ,	SCREAMING_SNAKE_CASE_					:				dict[str, list[str]]    ,	SCREAMING_SNAKE_CASE_					:				str							):
        __lowerCamelCase:				Dict     =	graph
        # mapping node to its parent in resulting breadth first tree
        __lowerCamelCase:				dict[str, str | None]     =	{}
        __lowerCamelCase:				str     =	source_vertex





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				Optional[int]     =	{self.source_vertex}
        __lowerCamelCase:				Optional[int]     =	None
        __lowerCamelCase:				Optional[int]     =	[self.source_vertex]  # first in first out queue

        while queue:
           __lowerCamelCase:				int     =	queue.pop(0							)
           for adjacent_vertex in self.graph[vertex]:
              if adjacent_vertex not in visited:
                 visited.add(SCREAMING_SNAKE_CASE_							)
                 __lowerCamelCase:				Dict     =	vertex
                 queue.append(SCREAMING_SNAKE_CASE_							)







     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]    ,	SCREAMING_SNAKE_CASE_					:				str							):
        if target_vertex == self.source_vertex:
           return self.source_vertex

        __lowerCamelCase:				List[str]     =	self.parent.get(SCREAMING_SNAKE_CASE_							)
        if target_vertex_parent is None:
           __lowerCamelCase:				Optional[int]     =	(
               F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
           )
           raise ValueError(SCREAMING_SNAKE_CASE_							)

        return self.shortest_path(SCREAMING_SNAKE_CASE_							) + F'->{target_vertex}'


if __name__ == "__main__":
   _A		:				int									=       Graph(graph, '''G''')
   g.breath_first_search()
   print(g.shortest_path('''D'''))
   print(g.shortest_path('''G'''))
   print(g.shortest_path('''Foo'''))


