




'''simple docstring'''







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 CLIPImageProcessor, CLIPProcessor


@require_vision
class 			_a  (	unittest.TestCase ):
       def     A      (	self						:	List[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		tempfile.mkdtemp()

           # fmt: off
           UpperCAmelCase			       =		['''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
           UpperCAmelCase			       =		dict(zip(lowercase   ,				range(len(lowercase				)				)				)				)
           UpperCAmelCase			       =		['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''', '''''']
           UpperCAmelCase			       =		{'''unk_token''': '''<unk>'''}

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

           UpperCAmelCase			       =		{
               '''do_resize''': True,
               '''size''': 20,
               '''do_center_crop''': True,
               '''crop_size''': 18,
               '''do_normalize''': True,
               '''image_mean''': [0.4814_5466, 0.457_8275, 0.4082_1073],
               '''image_std''': [0.2686_2954, 0.2613_0258, 0.2757_7711],
           }
           UpperCAmelCase			       =		os.path.join(self.tmpdirname   ,				lowercase				)
           with open(self.image_processor_file   ,				'''w'''   ,				encoding='''utf-8'''				) as fp:
               json.dump(lowercase   ,				lowercase				)
       def     A      (	self						:	Dict   ,				**lowercase						:	List[str]				):



           '''simple docstring'''

           return CLIPTokenizer.from_pretrained(self.tmpdirname   ,				**lowercase				)
       def     A      (	self						:	Optional[int]   ,				**lowercase						:	Any				):



           '''simple docstring'''

           return CLIPTokenizerFast.from_pretrained(self.tmpdirname   ,				**lowercase				)
       def     A      (	self						:	List[Any]   ,				**lowercase						:	Any				):



           '''simple docstring'''

           return CLIPImageProcessor.from_pretrained(self.tmpdirname   ,				**lowercase				)
       def     A      (	self						:	str				):



           '''simple docstring'''

           shutil.rmtree(self.tmpdirname				)
       def     A      (	self						:	Optional[Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		[np.random.randint(255   ,				size=(3, 30, 400)   ,				dtype=np.uinta				)]

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

           return image_inputs
       def     A      (	self						:	Tuple				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_tokenizer()
           UpperCAmelCase			       =		self.get_rust_tokenizer()
           UpperCAmelCase			       =		self.get_image_processor()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)
           processor_slow.save_pretrained(self.tmpdirname				)
           UpperCAmelCase			       =		CLIPProcessor.from_pretrained(self.tmpdirname   ,				use_fast=lowercase				)

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)
           processor_fast.save_pretrained(self.tmpdirname				)
           UpperCAmelCase			       =		CLIPProcessor.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   ,				lowercase				)
           self.assertIsInstance(processor_fast.tokenizer   ,				lowercase				)

           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   ,				lowercase				)
           self.assertIsInstance(processor_fast.image_processor   ,				lowercase				)
       def     A      (	self						:	Dict				):



           '''simple docstring'''

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=self.get_tokenizer()   ,				image_processor=self.get_image_processor()				)
           processor.save_pretrained(self.tmpdirname				)

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

           UpperCAmelCase			       =		CLIPProcessor.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     A      (	self						:	Union[str, Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_image_processor()
           UpperCAmelCase			       =		self.get_tokenizer()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)

           UpperCAmelCase			       =		self.prepare_image_inputs()

           UpperCAmelCase			       =		image_processor(lowercase   ,				return_tensors='''np'''				)
           UpperCAmelCase			       =		processor(images=lowercase   ,				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     A      (	self						:	Union[str, Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_image_processor()
           UpperCAmelCase			       =		self.get_tokenizer()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)

           UpperCAmelCase			       =		'''lower newer'''

           UpperCAmelCase			       =		processor(text=lowercase				)

           UpperCAmelCase			       =		tokenizer(lowercase				)

           for key in encoded_tok.keys():
               self.assertListEqual(encoded_tok[key]   ,				encoded_processor[key]				)
       def     A      (	self						:	Union[str, Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_image_processor()
           UpperCAmelCase			       =		self.get_tokenizer()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)

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

           UpperCAmelCase			       =		processor(text=lowercase   ,				images=lowercase				)

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

           # test if it raises when no input is passed
           with pytest.raises(lowercase				):
               processor()
       def     A      (	self						:	Union[str, Any]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_image_processor()
           UpperCAmelCase			       =		self.get_tokenizer()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)

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

           UpperCAmelCase			       =		processor.batch_decode(lowercase				)
           UpperCAmelCase			       =		tokenizer.batch_decode(lowercase				)

           self.assertListEqual(lowercase   ,				lowercase				)







       def     A      (	self						:	List[str]				):



           '''simple docstring'''

           UpperCAmelCase			       =		self.get_image_processor()
           UpperCAmelCase			       =		self.get_tokenizer()

           UpperCAmelCase			       =		CLIPProcessor(tokenizer=lowercase   ,				image_processor=lowercase				)

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

           UpperCAmelCase			       =		processor(text=lowercase   ,				images=lowercase				)

           self.assertListEqual(list(inputs.keys()				)   ,				processor.model_input_names				)










'''simple docstring'''







from queue import PriorityQueue
from typing import Any

import numpy as np





def 						snake_case_							(_a	:							dict    ,   _a	:							str    ,   _a	:							set    ,   _a	:							set    ,   _a	:							dict    ,   _a	:							dict    ,   _a	:							PriorityQueue    ,   _a	:							dict    ,   _a	:							float | int    ,   ):
    for nxt, d in graph[v]:
        if nxt in visited_forward:
            continue
        UpperCAmelCase			       =		cst_fwd.get(_a    ,   np.inf     )
        UpperCAmelCase			       =		cst_fwd[v] + d
        if new_cost_f < old_cost_f:
            queue.put((new_cost_f, nxt)     )
            UpperCAmelCase			       =		new_cost_f
            UpperCAmelCase			       =		v
        if nxt in visited_backward:
            if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
                UpperCAmelCase			       =		cst_fwd[v] + d + cst_bwd[nxt]
    return shortest_distance





def 						snake_case_							(_a	:							str    ,   _a	:							str    ,   _a	:							dict    ,   _a	:							dict     ):
    UpperCAmelCase			       =		-1

    UpperCAmelCase			       =		set()
    UpperCAmelCase			       =		set()
    UpperCAmelCase			       =		{source: 0}
    UpperCAmelCase			       =		{destination: 0}
    UpperCAmelCase			       =		{source: None}
    UpperCAmelCase			       =		{destination: None}
    UpperCAmelCase			       =		PriorityQueue()
    UpperCAmelCase			       =		PriorityQueue()

    UpperCAmelCase			       =		np.inf

    queue_forward.put((0, source)     )
    queue_backward.put((0, destination)     )

    if source == destination:
        return 0

    while not queue_forward.empty() and not queue_backward.empty():
        UpperCAmelCase       ,     UpperCAmelCase			       =		queue_forward.get()
        visited_forward.add(_a     )

        UpperCAmelCase       ,     UpperCAmelCase			       =		queue_backward.get()
        visited_backward.add(_a     )

        UpperCAmelCase			       =		pass_and_relaxation(
            _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   )

        UpperCAmelCase			       =		pass_and_relaxation(
            _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   _a    ,   )

        if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
            break

    if shortest_distance != np.inf:
        UpperCAmelCase			       =		shortest_distance
    return shortest_path_distance


A     ={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}
A     ={
    'B': [['E', 1]],
    'C': [['B', 1]],
    'D': [['C', 1]],
    'F': [['D', 1], ['G', 1]],
    'E': [[None, np.inf]],
    'G': [['E', 2]],
}

if __name__ == "__main__":
   import doctest

   doctest.testmod()




