


class       lowercase_					:





				def __init__(				self)  -> str:
											a__      =0
											a__      =0
											a__      ={}





				def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Dict:
											if vertex not in self.adjacency:
																		a__      ={}
																		self.num_vertices += 1





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_       ,  lowercase_)  -> Dict:
											self.add_vertex(lowercase_)
											self.add_vertex(lowercase_)

											if head == tail:
																		return

											a__      =weight
											a__      =weight





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											a__      =self.get_edges()
											for edge in edges:
																		a__    ,     a__    ,     a__      =edge
																		edges.remove((tail, head, weight))
											for i in range(len(lowercase_)):
																		a__      =list(edges[i])

											edges.sort(key=lambda lowercase_: e[2])
											for i in range(len(lowercase_) - 1):
																		if edges[i][2] >= edges[i + 1][2]:
																									a__      =edges[i][2] + 1
											for edge in edges:
																		a__    ,     a__    ,     a__      =edge
																		a__      =weight
																		a__      =weight





				def __str__(				self)  -> Tuple:
											a__      =''
											for tail in self.adjacency:
																		for head in self.adjacency[tail]:
																									a__      =self.adjacency[head][tail]
																									string += F"""{head} -> {tail} == {weight}\n"""
											return string.rstrip('\n')





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =[]
											for tail in self.adjacency:
																		for head in self.adjacency[tail]:
																									output.append((tail, head, self.adjacency[head][tail]))
											return output





				def 						__UpperCamelCase    (				self)  -> int:
											return self.adjacency.keys()





				@staticmethod
				def 						__UpperCamelCase    (				lowercase_=None       ,  lowercase_=None)  -> Dict:
											a__      =Graph()
											if vertices is None:
																		a__      =[]
											if edges is None:
																		a__      =[]
											for vertex in vertices:
																		g.add_vertex(lowercase_)
											for edge in edges:
																		g.add_edge(*lowercase_)
											return g




				class       lowercase_					:





								def __init__(				self)  -> Tuple:
															a__      ={}
															a__      ={}





								def __len__(				self)  -> Dict:
															return len(self.parent)





								def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Dict:
															if item in self.parent:
																						return self.find(lowercase_)

															a__      =item
															a__      =0
															return item





								def 						__UpperCamelCase    (				self       ,  lowercase_)  -> Optional[Any]:
															if item not in self.parent:
																						return self.make_set(lowercase_)
															if item != self.parent[item]:
																						a__      =self.find(self.parent[item])
															return self.parent[item]





								def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> Dict:
															a__      =self.find(lowercase_)
															a__      =self.find(lowercase_)

															if roota == roota:
																						return roota

															if self.rank[roota] > self.rank[roota]:
																						a__      =roota
																						return roota

															if self.rank[roota] < self.rank[roota]:
																						a__      =roota
																						return roota

															if self.rank[roota] == self.rank[roota]:
																						self.rank[roota] += 1
																						a__      =roota
																						return roota
															return None







				@staticmethod
				def 						__UpperCamelCase    (				lowercase_)  -> Optional[Any]:
											a__      =graph.num_vertices

											a__      =Graph.UnionFind()
											a__      =[]
											while num_components > 1:
																		a__      ={}
																		for vertex in graph.get_vertices():
																									a__      =-1

																		a__      =graph.get_edges()
																		for edge in edges:
																									a__    ,     a__    ,     a__      =edge
																									edges.remove((tail, head, weight))
																		for edge in edges:
																									a__    ,     a__    ,     a__      =edge
																									a__      =union_find.find(lowercase_)
																									a__      =union_find.find(lowercase_)
																									if seta != seta:
																																if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																							a__      =[head, tail, weight]

																																if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																																							a__      =[head, tail, weight]
																		for vertex in cheap_edge:
																									if cheap_edge[vertex] != -1:
																																a__    ,     a__    ,     a__      =cheap_edge[vertex]
																																if union_find.find(lowercase_) != union_find.find(lowercase_):
																																							union_find.union(lowercase_       ,  lowercase_)
																																							mst_edges.append(cheap_edge[vertex])
																																							a__      =num_components - 1
											a__      =Graph.build(edges=lowercase_)
											return mst





import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available


if is_vision_available():
	from PIL import Image

	from transformers import AutoProcessor, BertTokenizer, BlipImageProcessor, BlipProcessor, PreTrainedTokenizerFast




@require_vision
class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =tempfile.mkdtemp()

											a__      =BlipImageProcessor()
											a__      =BertTokenizer.from_pretrained('hf-internal-testing/tiny-random-BertModel')

											a__      =BlipProcessor(lowercase_       ,  lowercase_)

											processor.save_pretrained(self.tmpdirname)





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> str:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).tokenizer





				def 						__UpperCamelCase    (				self       ,  **lowercase_)  -> List[str]:
											return AutoProcessor.from_pretrained(self.tmpdirname       ,  **lowercase_).image_processor





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											shutil.rmtree(self.tmpdirname)





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =[np.random.randint(255       ,  size=(3, 30, 400)       ,  dtype=np.uinta)]

											a__      =[Image.fromarray(np.moveaxis(lowercase_       ,  0       ,  -1)) for x in image_inputs]

											return image_inputs





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =BlipProcessor(tokenizer=self.get_tokenizer()       ,  image_processor=self.get_image_processor())
											processor.save_pretrained(self.tmpdirname)

											a__      =self.get_tokenizer(bos_token='(BOS)'       ,  eos_token='(EOS)')
											a__      =self.get_image_processor(do_normalize=lowercase_       ,  padding_value=1.0)

											a__      =BlipProcessor.from_pretrained(
											    self.tmpdirname       ,  bos_token='(BOS)'       ,  eos_token='(EOS)'       ,  do_normalize=lowercase_       ,  padding_value=1.0)

											self.assertEqual(processor.tokenizer.get_vocab()       ,  tokenizer_add_kwargs.get_vocab())
											self.assertIsInstance(processor.tokenizer       ,  lowercase_)

											self.assertEqual(processor.image_processor.to_json_string()       ,  image_processor_add_kwargs.to_json_string())
											self.assertIsInstance(processor.image_processor       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =self.prepare_image_inputs()

											a__      =image_processor(lowercase_       ,  return_tensors='np')
											a__      =processor(images=lowercase_       ,  return_tensors='np')

											for key in input_feat_extract.keys():
																		self.assertAlmostEqual(input_feat_extract[key].sum()       ,  input_processor[key].sum()       ,  delta=1e-2)





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'

											a__      =processor(text=lowercase_)

											a__      =tokenizer(lowercase_       ,  return_token_type_ids=lowercase_)

											for key in encoded_tok.keys():
																		self.assertListEqual(encoded_tok[key]       ,  encoded_processor[key])





				def 						__UpperCamelCase    (				self)  -> int:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'
											a__      =self.prepare_image_inputs()

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

											# test if it raises when no input is passed
											with pytest.raises(lowercase_):
																		processor()





				def 						__UpperCamelCase    (				self)  -> Tuple:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      =[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

											a__      =processor.batch_decode(lowercase_)
											a__      =tokenizer.batch_decode(lowercase_)

											self.assertListEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =self.get_image_processor()
											a__      =self.get_tokenizer()

											a__      =BlipProcessor(tokenizer=lowercase_       ,  image_processor=lowercase_)

											a__      ='lower newer'
											a__      =self.prepare_image_inputs()

											a__      =processor(text=lowercase_       ,  images=lowercase_)

											# For now the processor supports only ['pixel_values', 'input_ids', 'attention_mask']
											self.assertListEqual(list(inputs.keys())       ,  ['pixel_values', 'input_ids', 'attention_mask'])

