
from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload





class       __A:

     def __init__(	self					:     Optional[Any]   ,					__UpperCamelCase					:     Collection[float] | None = None   ):
            if components is None:
                   lowerCamelCase_							  =					[]
            lowerCamelCase_							  =					list(__UpperCamelCase   )

     def __len__(	self					:     str   ):
            return len(self.__components   )

     def __str__(	self					:     Tuple   ):
            return "(" + ",".join(map(__UpperCamelCase   ,					self.__components   )   ) + ")"

     def __add__(	self					:     Any   ,					__UpperCamelCase					:     Vector   ):
            lowerCamelCase_							  =					len(self   )
            if size == len(__UpperCamelCase   ):
                   lowerCamelCase_							  =					[self.__components[i] + other.component(__UpperCamelCase   ) for i in range(__UpperCamelCase   )]
                   return Vector(__UpperCamelCase   )
            else:
                   raise Exception("""must have the same size"""   )

     def __sub__(	self					:     Union[str, Any]   ,					__UpperCamelCase					:     Vector   ):
            lowerCamelCase_							  =					len(self   )
            if size == len(__UpperCamelCase   ):
                   lowerCamelCase_							  =					[self.__components[i] - other.component(__UpperCamelCase   ) for i in range(__UpperCamelCase   )]
                   return Vector(__UpperCamelCase   )
            else:  # error case
                   raise Exception("""must have the same size"""   )

     @overload
     def __mul__(	self					:     Dict   ,					__UpperCamelCase					:     float   ):
            ...

     @overload
     def __mul__(	self					:     Optional[Any]   ,					__UpperCamelCase					:     Vector   ):
            ...

     def __mul__(	self					:     Tuple   ,					__UpperCamelCase					:     float | Vector   ):
            if isinstance(__UpperCamelCase   ,					(float, int)   ):
                   lowerCamelCase_							  =					[c * other for c in self.__components]
                   return Vector(__UpperCamelCase   )
            elif isinstance(__UpperCamelCase   ,					__UpperCamelCase   ) and len(self   ) == len(__UpperCamelCase   ):
                   lowerCamelCase_							  =					len(self   )
                   lowerCamelCase_							  =					[self.__components[i] * other.component(__UpperCamelCase   ) for i in range(__UpperCamelCase   )]
                   return sum(__UpperCamelCase   )
            else:  # error case
                   raise Exception("""invalid operand!"""   )

     def    lowercase__      (	self					:     str   ):
            return Vector(self.__components   )

     def    lowercase__      (	self					:     Union[str, Any]   ,					__UpperCamelCase					:     int   ):
            if isinstance(__UpperCamelCase   ,					__UpperCamelCase   ) and -len(self.__components   ) <= i < len(self.__components   ):
                   return self.__components[i]
            else:
                   raise Exception("""index out of range"""   )

     def    lowercase__      (	self					:     Dict   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     float   ):
            assert -len(self.__components   ) <= pos < len(self.__components   )
            lowerCamelCase_							  =					value

     def    lowercase__      (	self					:     Optional[Any]   ):
            if len(self.__components   ) == 0:
                   raise Exception("""Vector is empty"""   )
            lowerCamelCase_							  =					[c**2 for c in self.__components]
            return math.sqrt(sum(__UpperCamelCase   )   )



     def    lowercase__      (	self					:     Any   ,					__UpperCamelCase					:     Vector   ,					__UpperCamelCase					:     bool = False   ):
            lowerCamelCase_							  =					self * other
            lowerCamelCase_							  =					self.euclidean_length() * other.euclidean_length()
            if deg:
                   return math.degrees(math.acos(num / den   )   )
            else:
                   return math.acos(num / den   )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      int       )  ->    Vector:
       assert isinstance(UpperCAmelCase__			,				UpperCAmelCase__       )
       return Vector([0] * dimension       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int       )  ->    Vector:
       assert isinstance(UpperCAmelCase__			,				UpperCAmelCase__       ) and (isinstance(UpperCAmelCase__			,				UpperCAmelCase__       ))
       lowerCamelCase_							  =					[0] * dimension
       lowerCamelCase_							  =					1
       return Vector(UpperCAmelCase__       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      Vector			,				UpperCAmelCase__				:      Vector       )  ->    Vector:
       assert (
           isinstance(UpperCAmelCase__			,				UpperCAmelCase__       )
           and isinstance(UpperCAmelCase__			,				UpperCAmelCase__       )
           and (isinstance(UpperCAmelCase__			,				(int, float)       ))
       )
       return x * scalar + y



def      __lowerCAmelCase						(							UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int       )  ->    Vector:
       random.seed(UpperCAmelCase__       )
       lowerCamelCase_							  =					[random.randint(UpperCAmelCase__			,				UpperCAmelCase__       ) for _ in range(UpperCAmelCase__       )]
       return Vector(UpperCAmelCase__       )





class       __A:

     def __init__(	self					:     Dict   ,					__UpperCamelCase					:     list[list[float]]   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ):
            lowerCamelCase_							  =					matrix
            lowerCamelCase_							  =					w
            lowerCamelCase_							  =					h

     def __str__(	self					:     Dict   ):
            lowerCamelCase_							  =					""""""
            for i in range(self.__height   ):
                   ans += "|"
                   for j in range(self.__width   ):
                          if j < self.__width - 1:
                                 ans += str(self.__matrix[i][j]   ) + ","
                          else:
                                 ans += str(self.__matrix[i][j]   ) + "|\n"
            return ans

     def __add__(	self					:     Dict   ,					__UpperCamelCase					:     Matrix   ):
            if self.__width == other.width() and self.__height == other.height():
                   lowerCamelCase_							  =					[]
                   for i in range(self.__height   ):
                          lowerCamelCase_							  =					[
                              self.__matrix[i][j] + other.component(__UpperCamelCase   ,					__UpperCamelCase   )
                              for j in range(self.__width   )
                          ]
                          matrix.append(__UpperCamelCase   )
                   return Matrix(__UpperCamelCase   ,					self.__width   ,					self.__height   )
            else:
                   raise Exception("""matrix must have the same dimension!"""   )

     def __sub__(	self					:     Tuple   ,					__UpperCamelCase					:     Matrix   ):
            if self.__width == other.width() and self.__height == other.height():
                   lowerCamelCase_							  =					[]
                   for i in range(self.__height   ):
                          lowerCamelCase_							  =					[
                              self.__matrix[i][j] - other.component(__UpperCamelCase   ,					__UpperCamelCase   )
                              for j in range(self.__width   )
                          ]
                          matrix.append(__UpperCamelCase   )
                   return Matrix(__UpperCamelCase   ,					self.__width   ,					self.__height   )
            else:
                   raise Exception("""matrices must have the same dimension!"""   )

     @overload
     def __mul__(	self					:     Optional[int]   ,					__UpperCamelCase					:     float   ):
            ...

     @overload
     def __mul__(	self					:     List[str]   ,					__UpperCamelCase					:     Vector   ):
            ...

     def __mul__(	self					:     Union[str, Any]   ,					__UpperCamelCase					:     float | Vector   ):
            if isinstance(__UpperCamelCase   ,					__UpperCamelCase   ):  # matrix-vector
                   if len(__UpperCamelCase   ) == self.__width:
                          lowerCamelCase_							  =					zero_vector(self.__height   )
                          for i in range(self.__height   ):
                                 lowerCamelCase_							  =					[
                                     self.__matrix[i][j] * other.component(__UpperCamelCase   )
                                     for j in range(self.__width   )
                                 ]
                                 ans.change_component(__UpperCamelCase   ,					sum(__UpperCamelCase   )   )
                          return ans
                   else:
                          raise Exception(
                              """vector must have the same size as the """
                              """number of columns of the matrix!"""   )
            elif isinstance(__UpperCamelCase   ,					(int, float)   ):  # matrix-scalar
                   lowerCamelCase_							  =					[
                       [self.__matrix[i][j] * other for j in range(self.__width   )]
                       for i in range(self.__height   )
                   ]
                   return Matrix(__UpperCamelCase   ,					self.__width   ,					self.__height   )
            return None

     def    lowercase__      (	self					:     Any   ):
            return self.__height

     def    lowercase__      (	self					:     Tuple   ):
            return self.__width

     def    lowercase__      (	self					:     Optional[int]   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ):
            if 0 <= x < self.__height and 0 <= y < self.__width:
                   return self.__matrix[x][y]
            else:
                   raise Exception("""change_component: indices out of bounds"""   )

     def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     float   ):
            if 0 <= x < self.__height and 0 <= y < self.__width:
                   lowerCamelCase_							  =					value
            else:
                   raise Exception("""change_component: indices out of bounds"""   )

     def    lowercase__      (	self					:     Optional[int]   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ):
            if self.__height != self.__width:
                   raise Exception("""Matrix is not square"""   )
            lowerCamelCase_							  =					self.__matrix[:x] + self.__matrix[x + 1 :]
            for i in range(len(__UpperCamelCase   )   ):
                   lowerCamelCase_							  =					minor[i][:y] + minor[i][y + 1 :]
            return Matrix(__UpperCamelCase   ,					self.__width - 1   ,					self.__height - 1   ).determinant()

     def    lowercase__      (	self					:     Optional[Any]   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     int   ):
            if self.__height != self.__width:
                   raise Exception("""Matrix is not square"""   )
            if 0 <= x < self.__height and 0 <= y < self.__width:
                   return (-1) ** (x + y) * self.minor(__UpperCamelCase   ,					__UpperCamelCase   )
            else:
                   raise Exception("""Indices out of bounds"""   )



     def    lowercase__      (	self					:     Dict   ):
            if self.__height != self.__width:
                   raise Exception("""Matrix is not square"""   )
            if self.__height < 1:
                   raise Exception("""Matrix has no element"""   )
            elif self.__height == 1:
                   return self.__matrix[0][0]
            elif self.__height == 2:
                   return (
                       self.__matrix[0][0] * self.__matrix[1][1]
                       - self.__matrix[0][1] * self.__matrix[1][0]
                   )
            else:
                   lowerCamelCase_							  =					[
                       self.__matrix[0][y] * self.cofactor(0   ,					__UpperCamelCase   ) for y in range(self.__width   )
                   ]
                   return sum(__UpperCamelCase   )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      int       )  ->    Matrix:
       lowerCamelCase_							  =					[[0] * n for _ in range(UpperCAmelCase__       )]
       return Matrix(UpperCAmelCase__			,				UpperCAmelCase__			,				UpperCAmelCase__       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      int       )  ->    Matrix:
       random.seed(UpperCAmelCase__       )
       lowerCamelCase_							  =					[
           [random.randint(UpperCAmelCase__			,				UpperCAmelCase__       ) for _ in range(UpperCAmelCase__       )] for _ in range(UpperCAmelCase__       )
       ]
       return Matrix(UpperCAmelCase__			,				UpperCAmelCase__			,				UpperCAmelCase__       )







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       __A(				unittest.TestCase       ):

					def    lowercase__      (	self					:     Union[str, Any]   ):
												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""": 2_0,
												    """do_center_crop""": True,
												    """crop_size""": 1_8,
												    """do_normalize""": True,
												    """image_mean""": [0.48145466, 0.4578275, 0.40821073],
												    """image_std""": [0.26862954, 0.26130258, 0.27577711],
												}
												lowerCamelCase_							  =					os.path.join(self.tmpdirname   ,					__UpperCamelCase   )
												with open(self.image_processor_file   ,					"""w"""   ,					encoding="""utf-8"""   ) as fp:
																			json.dump(__UpperCamelCase   ,					__UpperCamelCase   )

					def    lowercase__      (	self					:     str   ,					**__UpperCamelCase					:     Optional[Any]   ):
												return CLIPTokenizer.from_pretrained(self.tmpdirname   ,					pad_token="""!"""   ,					**__UpperCamelCase   )

					def    lowercase__      (	self					:     Any   ,					**__UpperCamelCase					:     List[Any]   ):
												return CLIPTokenizerFast.from_pretrained(self.tmpdirname   ,					pad_token="""!"""   ,					**__UpperCamelCase   )

					def    lowercase__      (	self					:     List[Any]   ,					**__UpperCamelCase					:     Optional[int]   ):
												return OwlViTImageProcessor.from_pretrained(self.tmpdirname   ,					**__UpperCamelCase   )

					def    lowercase__      (	self					:     Union[str, Any]   ):
												shutil.rmtree(self.tmpdirname   )

					def    lowercase__      (	self					:     str   ):
												lowerCamelCase_							  =					[np.random.randint(2_5_5   ,					size=(3, 3_0, 4_0_0)   ,					dtype=np.uinta   )]

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

												return image_inputs

					def    lowercase__      (	self					:     Optional[int]   ):
												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    lowercase__      (	self					:     Optional[int]   ):
												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    lowercase__      (	self					:     Any   ):
												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    lowercase__      (	self					:     Union[str, Any]   ):
												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    lowercase__      (	self					:     List[str]   ):
												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    lowercase__      (	self					:     List[Any]   ):
												lowerCamelCase_							  =					"""google/owlvit-base-patch32"""
												lowerCamelCase_							  =					OwlViTProcessor.from_pretrained(__UpperCamelCase   )

												lowerCamelCase_							  =					["""cat""", """nasa badge"""]
												lowerCamelCase_							  =					processor(text=__UpperCamelCase   )

												lowerCamelCase_							  =					1_6
												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    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					"""google/owlvit-base-patch32"""
												lowerCamelCase_							  =					OwlViTProcessor.from_pretrained(__UpperCamelCase   )

												lowerCamelCase_							  =					[["""cat""", """nasa badge"""], ["""person"""]]
												lowerCamelCase_							  =					processor(text=__UpperCamelCase   )

												lowerCamelCase_							  =					1_6
												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    lowercase__      (	self					:     str   ):
												lowerCamelCase_							  =					"""google/owlvit-base-patch32"""
												lowerCamelCase_							  =					OwlViTProcessor.from_pretrained(__UpperCamelCase   )

												lowerCamelCase_							  =					["""cat""", """nasa badge"""]
												lowerCamelCase_							  =					processor(text=__UpperCamelCase   )

												lowerCamelCase_							  =					1_6
												lowerCamelCase_							  =					inputs["""input_ids"""]
												lowerCamelCase_							  =					[
												    [4_9_4_0_6, 2_3_6_8, 4_9_4_0_7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
												    [4_9_4_0_6, 6_8_4_1, 1_1_3_0_1, 4_9_4_0_7, 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    lowercase__      (	self					:     int   ):
												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    lowercase__      (	self					:     Dict   ):
												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   )





