
'''simple docstring'''







import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin






class 				lowerCAmelCase__     (						lowerCamelCase_					,		unittest.TestCase  ):
					lowerCAmelCase_       =  SpeechaTextaTokenizer
					lowerCAmelCase_       =  False






					def 			_snake_case					(     self	):


											"""simple docstring"""





											super().setUp()

											lowercase_			:  List[Any]									= '''<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'''.split(''' '''	)
											lowercase_			:  str									= ['''he re</w> 123''', '''here a 1456''']
											lowercase_			:  Optional[int]									= dict(zip(__SCREAMING_SNAKE_CASE       ,							range(len(__SCREAMING_SNAKE_CASE	)	)	)	)

											lowercase_			:  Dict									= {'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

											lowercase_			:  Dict									= tempfile.mkdtemp()
											lowercase_			:  Union[str, Any]									= os.path.join(self.tmpdirname       ,							VOCAB_FILES_NAMES['''vocab_file''']	)
											lowercase_			:  Tuple									= 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(__SCREAMING_SNAKE_CASE	) + '''\n'''	)

											with open(self.merges_file       ,							'''w'''	) as fp:
																	fp.write('''\n'''.join(__SCREAMING_SNAKE_CASE	)	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											lowercase_			:  int									= list(self.get_tokenizer().get_vocab().keys()	)

											self.assertEqual(vocab_keys[0]       ,							'''<s>'''	)
											self.assertEqual(vocab_keys[1]       ,							'''<pad>'''	)
											self.assertEqual(vocab_keys[-1]       ,							'''vocab'''	)
											self.assertEqual(len(__SCREAMING_SNAKE_CASE	)       ,							14	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											self.assertEqual(self.get_tokenizer().vocab_size       ,							14	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											lowercase_			:  str									= SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

											# make sure @@ is correctly concatenated
											lowercase_			:  Optional[int]									= [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
											lowercase_			:  Optional[Any]									= tokenizer.decode(__SCREAMING_SNAKE_CASE	)

											self.assertTrue(output_string == '''herecouple words ofthe'''	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											lowercase_			:  Any									= SpeechaTextaTokenizer.from_pretrained(self.tmpdirname	)

											with tempfile.TemporaryDirectory() as tmp_dirname:
																	tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE	)
																	os.remove(os.path.join(__SCREAMING_SNAKE_CASE       ,							'''merges.txt'''	)	)

																	# load tokenizer without merges file should not throw an error
																	lowercase_			:  List[Any]									= SpeechaTextaTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE	)

											with tempfile.TemporaryDirectory() as tmp_dirname:
																	# save tokenizer and load again
																	tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE	)
																	lowercase_			:  Any									= SpeechaTextaTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE	)

											self.assertIsNotNone(__SCREAMING_SNAKE_CASE	)






					def 			_snake_case					(     self	):


											"""simple docstring"""





											if not self.test_slow_tokenizer:
																	return

											lowercase_			:  Any									= inspect.signature(self.tokenizer_class.__init__	)
											lowercase_			:  int									= self.get_tokenizer()

											for parameter_name, parameter in signature.parameters.items():
																	if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																							self.assertIn(__SCREAMING_SNAKE_CASE       ,							tokenizer.init_kwargs	)





'''simple docstring'''







from __future__ import annotations

from queue import Queue






class 				lowerCAmelCase__     :






					def __init__(     self	):


											"""simple docstring"""





											lowercase_			:  dict[int, list[int]]									= {}






					def 			_snake_case					(     self	):


											"""simple docstring"""





											for i in self.vertices:
																	print(__SCREAMING_SNAKE_CASE       ,							''' : '''       ,							''' -> '''.join([str(__SCREAMING_SNAKE_CASE	) for j in self.vertices[i]]	)	)






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											if from_vertex in self.vertices:
																	self.vertices[from_vertex].append(__SCREAMING_SNAKE_CASE	)
											else:
																	lowercase_			:  Optional[Any]									= [to_vertex]






					def 			_snake_case					(     self       ,							__SCREAMING_SNAKE_CASE	):


											"""simple docstring"""





											lowercase_			:  List[Any]									= set()

											# create a first in first out queue to store all the vertices for BFS
											lowercase_			:  Queue									= Queue()

											# mark the source node as visited and enqueue it
											visited.add(__SCREAMING_SNAKE_CASE	)
											queue.put(__SCREAMING_SNAKE_CASE	)

											while not queue.empty():
																	lowercase_			:  List[Any]									= queue.get()

																	# loop through all adjacent vertex and enqueue it if not yet visited
																	for adjacent_vertex in self.vertices[vertex]:
																							if adjacent_vertex not in visited:
																													queue.put(__SCREAMING_SNAKE_CASE	)
																													visited.add(__SCREAMING_SNAKE_CASE	)
											return visited


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)

							_lowercase				:						Optional[int]												= Graph()
							g.add_edge(0, 1)
							g.add_edge(0, 2)
							g.add_edge(1, 2)
							g.add_edge(2, 0)
							g.add_edge(2, 3)
							g.add_edge(3, 3)

							g.print_graph()
							# 0  :  1 -> 2
							# 1  :  2
							# 2  :  0 -> 3
							# 3  :  3

							assert sorted(g.bfs(2)) == [0, 1, 2, 3]



