






import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available


if is_vision_available():
					from PIL import Image

					from transformers import OwlViTImageProcessor, OwlViTProcessor


@require_vision
class     __SCREAMING_SNAKE_CASE					(   unittest.TestCase):






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						tempfile.mkdtemp()

												# fmt: off
												lowerCAmelCase__    						=						['', 'l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
												# fmt: on
												lowerCAmelCase__    						=						dict(zip(_UpperCamelCase     ,						range(len(_UpperCamelCase   )   )   )   )
												lowerCAmelCase__    						=						['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>', '']
												lowerCAmelCase__    						=						{'unk_token': '<unk>'}

												lowerCAmelCase__    						=						os.path.join(self.tmpdirname     ,						VOCAB_FILES_NAMES['vocab_file']   )
												lowerCAmelCase__    						=						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(_UpperCamelCase   ) + '\n'   )
												with open(self.merges_file     ,						'w'     ,						encoding='utf-8'   ) as fp:
																		fp.write('\n'.join(_UpperCamelCase   )   )

												lowerCAmelCase__    						=						{
												    'do_resize': True,
												    'size': 20,
												    'do_center_crop': True,
												    'crop_size': 18,
												    'do_normalize': True,
												    'image_mean': [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73],
												    'image_std': [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11],
												}
												lowerCAmelCase__    						=						os.path.join(self.tmpdirname     ,						_UpperCamelCase   )
												with open(self.image_processor_file     ,						'w'     ,						encoding='utf-8'   ) as fp:
																		json.dump(_UpperCamelCase     ,						_UpperCamelCase   )






						def       UpperCamelCase__      (	self     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												return CLIPTokenizer.from_pretrained(self.tmpdirname     ,						pad_token='!'     ,						**_UpperCamelCase   )






						def       UpperCamelCase__      (	self     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												return CLIPTokenizerFast.from_pretrained(self.tmpdirname     ,						pad_token='!'     ,						**_UpperCamelCase   )






						def       UpperCamelCase__      (	self     ,						**_UpperCamelCase   ):






												"""simple docstring"""
												return OwlViTImageProcessor.from_pretrained(self.tmpdirname     ,						**_UpperCamelCase   )






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												shutil.rmtree(self.tmpdirname   )






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						[np.random.randint(2_55     ,						size=(3, 30, 4_00)     ,						dtype=np.uinta   )]

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

												return image_inputs






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_tokenizer()
												lowerCAmelCase__    						=						self.get_rust_tokenizer()
												lowerCAmelCase__    						=						self.get_image_processor()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )
												processor_slow.save_pretrained(self.tmpdirname   )
												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(self.tmpdirname     ,						use_fast=_UpperCamelCase   )

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )
												processor_fast.save_pretrained(self.tmpdirname   )
												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(self.tmpdirname   )

												self.assertEqual(processor_slow.tokenizer.get_vocab()     ,						tokenizer_slow.get_vocab()   )
												self.assertEqual(processor_fast.tokenizer.get_vocab()     ,						tokenizer_fast.get_vocab()   )
												self.assertEqual(tokenizer_slow.get_vocab()     ,						tokenizer_fast.get_vocab()   )
												self.assertIsInstance(processor_slow.tokenizer     ,						_UpperCamelCase   )
												self.assertIsInstance(processor_fast.tokenizer     ,						_UpperCamelCase   )

												self.assertEqual(processor_slow.image_processor.to_json_string()     ,						image_processor.to_json_string()   )
												self.assertEqual(processor_fast.image_processor.to_json_string()     ,						image_processor.to_json_string()   )
												self.assertIsInstance(processor_slow.image_processor     ,						_UpperCamelCase   )
												self.assertIsInstance(processor_fast.image_processor     ,						_UpperCamelCase   )






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=self.get_tokenizer()     ,						image_processor=self.get_image_processor()   )
												processor.save_pretrained(self.tmpdirname   )

												lowerCAmelCase__    						=						self.get_tokenizer(bos_token='(BOS)'     ,						eos_token='(EOS)'   )
												lowerCAmelCase__    						=						self.get_image_processor(do_normalize=_UpperCamelCase   )

												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(
												    self.tmpdirname     ,						bos_token='(BOS)'     ,						eos_token='(EOS)'     ,						do_normalize=_UpperCamelCase   )

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

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






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_image_processor()
												lowerCAmelCase__    						=						self.get_tokenizer()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )

												lowerCAmelCase__    						=						self.prepare_image_inputs()

												lowerCAmelCase__    						=						image_processor(_UpperCamelCase     ,						return_tensors='np'   )
												lowerCAmelCase__    						=						processor(images=_UpperCamelCase     ,						return_tensors='np'   )

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






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_image_processor()
												lowerCAmelCase__    						=						self.get_tokenizer()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )

												lowerCAmelCase__    						=						'lower newer'

												lowerCAmelCase__    						=						processor(text=_UpperCamelCase     ,						return_tensors='np'   )

												lowerCAmelCase__    						=						tokenizer(_UpperCamelCase     ,						return_tensors='np'   )

												for key in encoded_tok.keys():
																		self.assertListEqual(encoded_tok[key][0].tolist()     ,						encoded_processor[key][0].tolist()   )






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_image_processor()
												lowerCAmelCase__    						=						self.get_tokenizer()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )

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

												lowerCAmelCase__    						=						processor(text=_UpperCamelCase     ,						images=_UpperCamelCase   )

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

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






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						'google/owlvit-base-patch32'
												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(_UpperCamelCase   )

												lowerCAmelCase__    						=						['cat', 'nasa badge']
												lowerCAmelCase__    						=						processor(text=_UpperCamelCase   )

												lowerCAmelCase__    						=						16
												self.assertListEqual(list(inputs.keys()   )     ,						['input_ids', 'attention_mask']   )
												self.assertEqual(inputs['input_ids'].shape     ,						(2, seq_length)   )

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






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						'google/owlvit-base-patch32'
												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(_UpperCamelCase   )

												lowerCAmelCase__    						=						[['cat', 'nasa badge'], ['person']]
												lowerCAmelCase__    						=						processor(text=_UpperCamelCase   )

												lowerCAmelCase__    						=						16
												lowerCAmelCase__    						=						len(_UpperCamelCase   )
												lowerCAmelCase__    						=						max([len(_UpperCamelCase   ) for texts in input_texts]   )

												self.assertListEqual(list(inputs.keys()   )     ,						['input_ids', 'attention_mask']   )
												self.assertEqual(inputs['input_ids'].shape     ,						(batch_size * num_max_text_queries, seq_length)   )

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






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						'google/owlvit-base-patch32'
												lowerCAmelCase__    						=						OwlViTProcessor.from_pretrained(_UpperCamelCase   )

												lowerCAmelCase__    						=						['cat', 'nasa badge']
												lowerCAmelCase__    						=						processor(text=_UpperCamelCase   )

												lowerCAmelCase__    						=						16
												lowerCAmelCase__    						=						inputs['input_ids']
												lowerCAmelCase__    						=						[
												    [4_94_06, 23_68, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
												    [4_94_06, 68_41, 1_13_01, 4_94_07, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
												]

												self.assertListEqual(list(inputs.keys()   )     ,						['input_ids', 'attention_mask']   )
												self.assertEqual(inputs['input_ids'].shape     ,						(2, seq_length)   )
												self.assertListEqual(list(input_ids[0]   )     ,						predicted_ids[0]   )
												self.assertListEqual(list(input_ids[1]   )     ,						predicted_ids[1]   )






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_image_processor()
												lowerCAmelCase__    						=						self.get_tokenizer()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )

												lowerCAmelCase__    						=						self.prepare_image_inputs()
												lowerCAmelCase__    						=						self.prepare_image_inputs()

												lowerCAmelCase__    						=						processor(images=_UpperCamelCase     ,						query_images=_UpperCamelCase   )

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

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







						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						self.get_image_processor()
												lowerCAmelCase__    						=						self.get_tokenizer()

												lowerCAmelCase__    						=						OwlViTProcessor(tokenizer=_UpperCamelCase     ,						image_processor=_UpperCamelCase   )

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

												lowerCAmelCase__    						=						processor.batch_decode(_UpperCamelCase   )
												lowerCAmelCase__    						=						tokenizer.batch_decode(_UpperCamelCase   )

												self.assertListEqual(_UpperCamelCase     ,						_UpperCamelCase   )













from __future__ import annotations

__snake_case    :    Any         =     {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}


class     __SCREAMING_SNAKE_CASE					:






						def __init__(	self     ,						_UpperCamelCase     ,						_UpperCamelCase   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						graph
												# mapping node to its parent in resulting breadth first tree
												lowerCAmelCase__    						=						{}
												lowerCAmelCase__    						=						source_vertex






						def       UpperCamelCase__      (	self   ):






												"""simple docstring"""
												lowerCAmelCase__    						=						{self.source_vertex}
												lowerCAmelCase__    						=						None
												lowerCAmelCase__    						=						[self.source_vertex]  # first in first out queue

												while queue:
																		lowerCAmelCase__    						=						queue.pop(0   )
																		for adjacent_vertex in self.graph[vertex]:
																								if adjacent_vertex not in visited:
																														visited.add(_UpperCamelCase   )
																														lowerCAmelCase__    						=						vertex
																														queue.append(_UpperCamelCase   )







						def       UpperCamelCase__      (	self     ,						_UpperCamelCase   ):






												"""simple docstring"""
												if target_vertex == self.source_vertex:
																		return self.source_vertex

												lowerCAmelCase__    						=						self.parent.get(_UpperCamelCase   )
												if target_vertex_parent is None:
																		lowerCAmelCase__    						=						(
																		    F"No path from vertex: {self.source_vertex} to vertex: {target_vertex}"
																		)
																		raise ValueError(_UpperCamelCase   )

												return self.shortest_path(_UpperCamelCase   ) + F"->{target_vertex}"


if __name__ == "__main__":
					__snake_case    :    Optional[Any]         =     Graph(graph, """G""")
					g.breath_first_search()
					print(g.shortest_path("""D"""))
					print(g.shortest_path("""G"""))
					print(g.shortest_path("""Foo"""))





