





"""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 		lowercase					(					unittest.TestCase					):





      def     _snake_case			(       self )		->     int:
            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(lowercase      ,						range(len(lowercase ) ) ) )
            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(lowercase ) + """\n""" )
            with open(self.merges_file      ,						"""w"""      ,						encoding="""utf-8""" ) as fp:
                  fp.write("""\n""".join(lowercase ) )

            lowerCAmelCase  						=       {
                """do_resize""": True,
                """size""": 20,
                """do_center_crop""": True,
                """crop_size""": 18,
                """do_normalize""": True,
                """image_mean""": [0.48_145_466, 0.4_578_275, 0.40_821_073],
                """image_std""": [0.26_862_954, 0.26_130_258, 0.27_577_711],
            }
            lowerCAmelCase  						=       os.path.join(self.tmpdirname      ,						lowercase )
            with open(self.image_processor_file      ,						"""w"""      ,						encoding="""utf-8""" ) as fp:
                  json.dump(lowercase      ,						lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     Dict:
            return CLIPTokenizer.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     List[str]:
            return CLIPTokenizerFast.from_pretrained(self.tmpdirname      ,						**lowercase )





      def     _snake_case			(       self      ,						**lowercase )		->     int:
            return CLIPImageProcessor.from_pretrained(self.tmpdirname      ,						**lowercase )





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





      def     _snake_case			(       self )		->     Optional[int]:
            lowerCAmelCase  						=       [np.random.randint(255      ,						size=(3, 30, 400)      ,						dtype=np.uinta )]

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

            return image_inputs





      def     _snake_case			(       self )		->     Union[str, Any]:
            lowerCAmelCase  						=       self.get_tokenizer()
            lowerCAmelCase  						=       self.get_rust_tokenizer()
            lowerCAmelCase  						=       self.get_image_processor()

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

            lowerCAmelCase  						=       CLIPProcessor(tokenizer=lowercase      ,						image_processor=lowercase )
            processor_fast.save_pretrained(self.tmpdirname )
            lowerCAmelCase  						=       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     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       CLIPProcessor(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=lowercase      ,						padding_value=1.0 )

            lowerCAmelCase  						=       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     _snake_case			(       self )		->     int:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

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

            lowerCAmelCase  						=       self.prepare_image_inputs()

            lowerCAmelCase  						=       image_processor(lowercase      ,						return_tensors="""np""" )
            lowerCAmelCase  						=       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     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

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

            lowerCAmelCase  						=       """lower newer"""

            lowerCAmelCase  						=       processor(text=lowercase )

            lowerCAmelCase  						=       tokenizer(lowercase )

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





      def     _snake_case			(       self )		->     List[Any]:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

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

            lowerCAmelCase  						=       """lower newer"""
            lowerCAmelCase  						=       self.prepare_image_inputs()

            lowerCAmelCase  						=       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     _snake_case			(       self )		->     int:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

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

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

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

            self.assertListEqual(lowercase      ,						lowercase )





      def     _snake_case			(       self )		->     str:
            lowerCAmelCase  						=       self.get_image_processor()
            lowerCAmelCase  						=       self.get_tokenizer()

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

            lowerCAmelCase  						=       """lower newer"""
            lowerCAmelCase  						=       self.prepare_image_inputs()

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

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








from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE__   :			List[Any]												=    TypeVar("T")




def  __magic_name__ (   __lowerCAmelCase	:						int							)			->   int:
				return (position - 1) // 2




def  __magic_name__ (   __lowerCAmelCase	:						int							)			->   int:
				return (2 * position) + 1




def  __magic_name__ (   __lowerCAmelCase	:						int							)			->   int:
				return (2 * position) + 2

class    lowerCAmelCase__     (	Generic[T]			):






		def __init__(		self		:							List[str]  )     ->							None:
						__lowerCamelCase    					=	[]
						__lowerCamelCase    					=	{}
						__lowerCamelCase    					=	0






		def __len__(		self		:							Optional[int]  )     ->							int:
						return self.elements






		def __repr__(		self		:							Optional[int]  )     ->							str:
						return str(self.heap  )






		def  __A       (		self		:							Union[str, Any]  )     ->							bool:
						# Check if the priority queue is empty
						return self.elements == 0






		def  __A       (		self		:							str							,			SCREAMING_SNAKE_CASE__		:							T							,			SCREAMING_SNAKE_CASE__		:							int  )     ->							None:
						# Add an element with given priority to the queue
						self.heap.append((elem, weight)  )
						__lowerCamelCase    					=	self.elements
						self.elements += 1
						self._bubble_up(SCREAMING_SNAKE_CASE__  )






		def  __A       (		self		:							Any  )     ->							T:
						# Remove and return the element with lowest weight (highest priority)
						if self.elements > 1:
										self._swap_nodes(0							,			self.elements - 1  )
						__lowerCamelCase					,    __lowerCamelCase    					=	self.heap.pop()
						del self.position_map[elem]
						self.elements -= 1
						if self.elements > 0:
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[0]
										self._bubble_down(SCREAMING_SNAKE_CASE__  )
						return elem






		def  __A       (		self		:							Dict							,			SCREAMING_SNAKE_CASE__		:							T							,			SCREAMING_SNAKE_CASE__		:							int  )     ->							None:
						# Update the weight of the given key
						__lowerCamelCase    					=	self.position_map[elem]
						__lowerCamelCase    					=	(elem, weight)
						if position > 0:
										__lowerCamelCase    					=	get_parent_position(SCREAMING_SNAKE_CASE__  )
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[parent_position]
										if parent_weight > weight:
														self._bubble_up(SCREAMING_SNAKE_CASE__  )
										else:
														self._bubble_down(SCREAMING_SNAKE_CASE__  )
						else:
										self._bubble_down(SCREAMING_SNAKE_CASE__  )






		def  __A       (		self		:							Optional[int]							,			SCREAMING_SNAKE_CASE__		:							T  )     ->							None:
						# Place a node at the proper position (upward movement) [to be used internally
						# only]
						__lowerCamelCase    					=	self.position_map[elem]
						if curr_pos == 0:
										return None
						__lowerCamelCase    					=	get_parent_position(SCREAMING_SNAKE_CASE__  )
						__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[curr_pos]
						__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[parent_position]
						if parent_weight > weight:
										self._swap_nodes(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__  )
										return self._bubble_up(SCREAMING_SNAKE_CASE__  )
						return None






		def  __A       (		self		:							Optional[int]							,			SCREAMING_SNAKE_CASE__		:							T  )     ->							None:
						# Place a node at the proper position (downward movement) [to be used
						# internally only]
						__lowerCamelCase    					=	self.position_map[elem]
						__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[curr_pos]
						__lowerCamelCase    					=	get_child_left_position(SCREAMING_SNAKE_CASE__  )
						__lowerCamelCase    					=	get_child_right_position(SCREAMING_SNAKE_CASE__  )
						if child_left_position < self.elements and child_right_position < self.elements:
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[child_left_position]
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[child_right_position]
										if child_right_weight < child_left_weight and child_right_weight < weight:
														self._swap_nodes(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__  )
														return self._bubble_down(SCREAMING_SNAKE_CASE__  )
						if child_left_position < self.elements:
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[child_left_position]
										if child_left_weight < weight:
														self._swap_nodes(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__  )
														return self._bubble_down(SCREAMING_SNAKE_CASE__  )
						else:
										return None
						if child_right_position < self.elements:
										__lowerCamelCase					,    __lowerCamelCase    					=	self.heap[child_right_position]
										if child_right_weight < weight:
														self._swap_nodes(SCREAMING_SNAKE_CASE__							,			SCREAMING_SNAKE_CASE__  )
														return self._bubble_down(SCREAMING_SNAKE_CASE__  )
						return None







		def  __A       (		self		:							List[Any]							,			SCREAMING_SNAKE_CASE__		:							int							,			SCREAMING_SNAKE_CASE__		:							int  )     ->							None:
						# Swap the nodes at the given positions
						__lowerCamelCase    					=	self.heap[nodea_pos][0]
						__lowerCamelCase    					=	self.heap[nodea_pos][0]
						__lowerCamelCase					,    __lowerCamelCase    					=	(
						    self.heap[nodea_pos],
						    self.heap[nodea_pos],
						)
						__lowerCamelCase    					=	nodea_pos
						__lowerCamelCase    					=	nodea_pos





class    lowerCAmelCase__     (	Generic[T]			):






		def __init__(		self		:							Tuple  )     ->							None:
						__lowerCamelCase    					=	{}
						__lowerCamelCase    					=	0






		def __repr__(		self		:							Optional[int]  )     ->							str:
						return str(self.connections  )






		def __len__(		self		:							List[str]  )     ->							int:
						return self.nodes






		def  __A       (		self		:							List[str]							,			SCREAMING_SNAKE_CASE__		:							T  )     ->							None:
						# Add a node in the graph if it is not in the graph
						if node not in self.connections:
										__lowerCamelCase    					=	{}
										self.nodes += 1







		def  __A       (		self		:							Dict							,			SCREAMING_SNAKE_CASE__		:							T							,			SCREAMING_SNAKE_CASE__		:							T							,			SCREAMING_SNAKE_CASE__		:							int  )     ->							None:
						# Add an edge between 2 nodes in the graph
						self.add_node(SCREAMING_SNAKE_CASE__  )
						self.add_node(SCREAMING_SNAKE_CASE__  )
						__lowerCamelCase    					=	weight
						__lowerCamelCase    					=	weight





def  __magic_name__ (   __lowerCAmelCase	:						GraphUndirectedWeighted[T]		,  )			->   tuple[dict[T, int], dict[T, T | None]]:
				__lowerCamelCase    					=	{node: maxsize for node in graph.connections}
				__lowerCamelCase    					=	{node: None for node in graph.connections}

				__lowerCamelCase    					=	MinPriorityQueue()
				for node, weight in dist.items():
								priority_queue.push(__lowerCAmelCase		,  __lowerCAmelCase							)

				if priority_queue.is_empty():
								return dist, parent

				# initialization
				__lowerCamelCase    					=	priority_queue.extract_min()
				__lowerCamelCase    					=	0
				for neighbour in graph.connections[node]:
								if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
												__lowerCamelCase    					=	dist[node] + graph.connections[node][neighbour]
												priority_queue.update_key(__lowerCAmelCase		,  dist[neighbour]							)
												__lowerCamelCase    					=	node

    # running prim's algorithm
				while not priority_queue.is_empty():
								__lowerCamelCase    					=	priority_queue.extract_min()
								for neighbour in graph.connections[node]:
												if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
																__lowerCamelCase    					=	dist[node] + graph.connections[node][neighbour]
																priority_queue.update_key(__lowerCAmelCase		,  dist[neighbour]							)
																__lowerCamelCase    					=	node
				return dist, parent



