


import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


__snake_case        =   (
    'https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'
)


__snake_case        =   logging.get_logger(__name__)  # pylint: disable=invalid-name






def 							_lowercase    (		):





			"""simple docstring"""




			UpperCamelCase         =					'''https://pypi.org/pypi/diffusers/json'''
			UpperCamelCase         =					json.loads(request.urlopen(__UpperCamelCase	).read()	)['''releases'''].keys()
			return sorted(__UpperCamelCase       ,  key=lambda SCREAMING_SNAKE_CASE_	: version.Version(__UpperCamelCase	)	)






def 							_lowercase    (		):





			"""simple docstring"""




			if HF_MODULES_CACHE in sys.path:
						return

			sys.path.append(__UpperCamelCase	)
			os.makedirs(__UpperCamelCase       ,  exist_ok=__UpperCamelCase	)
			UpperCamelCase         =					Path(__UpperCamelCase	) / '''__init__.py'''
			if not init_path.exists():
						init_path.touch()






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Union[str, os.PathLike]	):





			"""simple docstring"""




			init_hf_modules()
			UpperCamelCase         =					Path(__UpperCamelCase	) / name
			# If the parent module does not exist yet, recursively create it.
			if not dynamic_module_path.parent.exists():
						create_dynamic_module(dynamic_module_path.parent	)
			os.makedirs(__UpperCamelCase       ,  exist_ok=__UpperCamelCase	)
			UpperCamelCase         =					dynamic_module_path / '''__init__.py'''
			if not init_path.exists():
						init_path.touch()






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		List[str]	):





			"""simple docstring"""




			with open(__UpperCamelCase       ,  """r"""       ,  encoding="""utf-8"""	) as f:
						UpperCamelCase         =					f.read()

			# Imports of the form `import .xxx`
			UpperCamelCase         =					re.findall("""^\s*import\s+\.(\S+)\s*$"""       ,  __UpperCamelCase       ,  flags=re.MULTILINE	)
			# Imports of the form `from .xxx import yyy`
			relative_imports += re.findall("""^\s*from\s+\.(\S+)\s+import"""       ,  __UpperCamelCase       ,  flags=re.MULTILINE	)
			# Unique-ify
			return list(set(__UpperCamelCase	)	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		List[str]	):





			"""simple docstring"""




			UpperCamelCase         =					False
			UpperCamelCase         =					[module_file]
			UpperCamelCase         =					[]

			# Let's recurse through all relative imports
			while not no_change:
						UpperCamelCase         =					[]
						for f in files_to_check:
									new_imports.extend(get_relative_imports(__UpperCamelCase	)	)

						UpperCamelCase         =					Path(__UpperCamelCase	).parent
						UpperCamelCase         =					[str(module_path / m	) for m in new_imports]
						UpperCamelCase         =					[f for f in new_import_files if f not in all_relative_imports]
						UpperCamelCase         =					[f'{f}.py' for f in new_import_files]

						UpperCamelCase         =					len(__UpperCamelCase	) == 0
						all_relative_imports.extend(__UpperCamelCase	)

			return all_relative_imports






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		List[str]	):





			"""simple docstring"""




			with open(__UpperCamelCase       ,  """r"""       ,  encoding="""utf-8"""	) as f:
						UpperCamelCase         =					f.read()

			# Imports of the form `import xxx`
			UpperCamelCase         =					re.findall("""^\s*import\s+(\S+)\s*$"""       ,  __UpperCamelCase       ,  flags=re.MULTILINE	)
			# Imports of the form `from xxx import yyy`
			imports += re.findall("""^\s*from\s+(\S+)\s+import"""       ,  __UpperCamelCase       ,  flags=re.MULTILINE	)
			# Only keep the top-level module
			UpperCamelCase         =					[imp.split("""."""	)[0] for imp in imports if not imp.startswith("""."""	)]

			# Unique-ify and test we got them all
			UpperCamelCase         =					list(set(__UpperCamelCase	)	)
			UpperCamelCase         =					[]
			for imp in imports:
						try:
									importlib.import_module(__UpperCamelCase	)
						except ImportError:
									missing_packages.append(__UpperCamelCase	)

			if len(__UpperCamelCase	) > 0:
						raise ImportError(
						    """This modeling file requires the following packages that were not found in your environment: """
						    f'{", ".join(__UpperCamelCase	)}. Run `pip install {" ".join(__UpperCamelCase	)}`'	)

			return get_relative_imports(__UpperCamelCase	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int       ,  SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			UpperCamelCase         =					module_path.replace(os.path.sep       ,  """."""	)
			UpperCamelCase         =					importlib.import_module(__UpperCamelCase	)

			if class_name is None:
						return find_pipeline_class(__UpperCamelCase	)
			return getattr(__UpperCamelCase       ,  __UpperCamelCase	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Union[str, Any]	):





			"""simple docstring"""




			from ..pipelines import DiffusionPipeline

			UpperCamelCase         =					dict(inspect.getmembers(__UpperCamelCase       ,  inspect.isclass	)	)

			UpperCamelCase         =					None
			for cls_name, cls in cls_members.items():
						if (
						    cls_name != DiffusionPipeline.__name__
						    and issubclass(cls       ,  __UpperCamelCase	)
						    and cls.__module__.split("""."""	)[0] != "diffusers"
						):
									if pipeline_class is not None:
												raise ValueError(
												    f'Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'
												    f' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'
												    f' {loaded_module}.'	)
									UpperCamelCase         =					cls

			return pipeline_class






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Union[str, os.PathLike]       ,  SCREAMING_SNAKE_CASE_   :		str       ,  SCREAMING_SNAKE_CASE_   :		Optional[Union[str, os.PathLike]] = None       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  SCREAMING_SNAKE_CASE_   :		Optional[Dict[str, str]] = None       ,  SCREAMING_SNAKE_CASE_   :		Optional[Union[bool, str]] = None       ,  SCREAMING_SNAKE_CASE_   :		Optional[str] = None       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  ):





			"""simple docstring"""




			UpperCamelCase         =					str(__UpperCamelCase	)

			UpperCamelCase         =					os.path.join(__UpperCamelCase       ,  __UpperCamelCase	)

			if os.path.isfile(__UpperCamelCase	):
						UpperCamelCase         =					module_file_or_url
						UpperCamelCase         =					'''local'''
			elif pretrained_model_name_or_path.count("""/"""	) == 0:
						UpperCamelCase         =					get_diffusers_versions()
						# cut ".dev0"
						UpperCamelCase         =					'''v''' + '''.'''.join(__version__.split("""."""	)[:3]	)

						# retrieve github version that matches
						if revision is None:
									UpperCamelCase         =					latest_version if latest_version[1:] in available_versions else '''main'''
									logger.info(f'Defaulting to latest_version: {revision}.'	)
						elif revision in available_versions:
									UpperCamelCase         =					f'v{revision}'
						elif revision == "main":
									UpperCamelCase         =					revision
						else:
									raise ValueError(
									    f'`custom_revision`: {revision} does not exist. Please make sure to choose one of'
									    f' {", ".join(available_versions + ["main"]	)}.'	)

						# community pipeline on GitHub
						UpperCamelCase         =					COMMUNITY_PIPELINES_URL.format(revision=__UpperCamelCase       ,  pipeline=__UpperCamelCase	)
						try:
									UpperCamelCase         =					cached_download(
									    __UpperCamelCase       ,  cache_dir=__UpperCamelCase       ,  force_download=__UpperCamelCase       ,  proxies=__UpperCamelCase       ,  resume_download=__UpperCamelCase       ,  local_files_only=__UpperCamelCase       ,  use_auth_token=__UpperCamelCase       ,  )
									UpperCamelCase         =					'''git'''
									UpperCamelCase         =					pretrained_model_name_or_path + '''.py'''
						except EnvironmentError:
									logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'	)
									raise
			else:
						try:
									# Load from URL or cache if already cached
									UpperCamelCase         =					hf_hub_download(
									    __UpperCamelCase       ,  __UpperCamelCase       ,  cache_dir=__UpperCamelCase       ,  force_download=__UpperCamelCase       ,  proxies=__UpperCamelCase       ,  resume_download=__UpperCamelCase       ,  local_files_only=__UpperCamelCase       ,  use_auth_token=__UpperCamelCase       ,  )
									UpperCamelCase         =					os.path.join("""local"""       ,  """--""".join(pretrained_model_name_or_path.split("""/"""	)	)	)
						except EnvironmentError:
									logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.'	)
									raise

    # Check we have all the requirements in our environment
			UpperCamelCase         =					check_imports(__UpperCamelCase	)

			# Now we move the module inside our cached dynamic modules.
			UpperCamelCase         =					DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
			create_dynamic_module(__UpperCamelCase	)
			UpperCamelCase         =					Path(__UpperCamelCase	) / full_submodule
			if submodule == "local" or submodule == "git":
						# We always copy local files (we could hash the file to see if there was a change, and give them the name of
						# that hash, to only copy when there is a modification but it seems overkill for now).
						# The only reason we do the copy is to avoid putting too many folders in sys.path.
						shutil.copy(__UpperCamelCase       ,  submodule_path / module_file	)
						for module_needed in modules_needed:
									UpperCamelCase         =					f'{module_needed}.py'
									shutil.copy(os.path.join(__UpperCamelCase       ,  __UpperCamelCase	)       ,  submodule_path / module_needed	)
			else:
						# Get the commit hash
						# TODO: we will get this info in the etag soon, so retrieve it from there and not here.
						if isinstance(__UpperCamelCase       ,  __UpperCamelCase	):
									UpperCamelCase         =					use_auth_token
						elif use_auth_token is True:
									UpperCamelCase         =					HfFolder.get_token()
						else:
									UpperCamelCase         =					None

						UpperCamelCase         =					model_info(__UpperCamelCase       ,  revision=__UpperCamelCase       ,  token=__UpperCamelCase	).sha

						# The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
						# benefit of versioning.
						UpperCamelCase         =					submodule_path / commit_hash
						UpperCamelCase         =					full_submodule + os.path.sep + commit_hash
						create_dynamic_module(__UpperCamelCase	)

						if not (submodule_path / module_file).exists():
									shutil.copy(__UpperCamelCase       ,  submodule_path / module_file	)
						# Make sure we also have every file with relative
						for module_needed in modules_needed:
									if not (submodule_path / module_needed).exists():
												get_cached_module_file(
												    __UpperCamelCase       ,  f'{module_needed}.py'       ,  cache_dir=__UpperCamelCase       ,  force_download=__UpperCamelCase       ,  resume_download=__UpperCamelCase       ,  proxies=__UpperCamelCase       ,  use_auth_token=__UpperCamelCase       ,  revision=__UpperCamelCase       ,  local_files_only=__UpperCamelCase       ,  )
			return os.path.join(__UpperCamelCase       ,  __UpperCamelCase	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		Union[str, os.PathLike]       ,  SCREAMING_SNAKE_CASE_   :		str       ,  SCREAMING_SNAKE_CASE_   :		Optional[str] = None       ,  SCREAMING_SNAKE_CASE_   :		Optional[Union[str, os.PathLike]] = None       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  SCREAMING_SNAKE_CASE_   :		Optional[Dict[str, str]] = None       ,  SCREAMING_SNAKE_CASE_   :		Optional[Union[bool, str]] = None       ,  SCREAMING_SNAKE_CASE_   :		Optional[str] = None       ,  SCREAMING_SNAKE_CASE_   :		bool = False       ,  **SCREAMING_SNAKE_CASE_   :		str       ,  ):





			"""simple docstring"""




			UpperCamelCase         =					get_cached_module_file(
			    __UpperCamelCase       ,  __UpperCamelCase       ,  cache_dir=__UpperCamelCase       ,  force_download=__UpperCamelCase       ,  resume_download=__UpperCamelCase       ,  proxies=__UpperCamelCase       ,  use_auth_token=__UpperCamelCase       ,  revision=__UpperCamelCase       ,  local_files_only=__UpperCamelCase       ,  )
			return get_class_in_module(__UpperCamelCase       ,  final_module.replace(""".py"""       ,  """"""	)	)








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    UpperCAmelCase					(       unittest.TestCase    ):




			def   lowerCamelCase_					(						self							:		Optional[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(__magic_name__       ,       range(len(__magic_name__						)						)						)						)
						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(__magic_name__						) + """\n"""						)
						with open(self.merges_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
									fp.write("""\n""".join(__magic_name__						)						)

						UpperCamelCase         =					{
						    """do_resize""": True,
						    """size""": 2_0,
						    """do_center_crop""": True,
						    """crop_size""": 1_8,
						    """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],
						}
						UpperCamelCase         =					os.path.join(self.tmpdirname       ,       __magic_name__						)
						with open(self.image_processor_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
									json.dump(__magic_name__       ,       __magic_name__						)




			def   lowerCamelCase_					(						self							:		str       ,       **__magic_name__							:		Tuple						):







						"""simple docstring"""







						return CLIPTokenizer.from_pretrained(self.tmpdirname       ,       pad_token="""!"""       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		Optional[int]       ,       **__magic_name__							:		str						):







						"""simple docstring"""







						return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,       pad_token="""!"""       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		Optional[int]       ,       **__magic_name__							:		Optional[Any]						):







						"""simple docstring"""







						return OwlViTImageProcessor.from_pretrained(self.tmpdirname       ,       **__magic_name__						)




			def   lowerCamelCase_					(						self							:		int						):







						"""simple docstring"""







						shutil.rmtree(self.tmpdirname						)




			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						UpperCamelCase         =					[np.random.randint(2_5_5       ,       size=(3, 3_0, 4_0_0)       ,       dtype=np.uinta						)]

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

						return image_inputs




			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







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

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)
						processor_slow.save_pretrained(self.tmpdirname						)
						UpperCamelCase         =					OwlViTProcessor.from_pretrained(self.tmpdirname       ,       use_fast=__magic_name__						)

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)
						processor_fast.save_pretrained(self.tmpdirname						)
						UpperCamelCase         =					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       ,       __magic_name__						)
						self.assertIsInstance(processor_fast.tokenizer       ,       __magic_name__						)

						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       ,       __magic_name__						)
						self.assertIsInstance(processor_fast.image_processor       ,       __magic_name__						)




			def   lowerCamelCase_					(						self							:		int						):







						"""simple docstring"""







						UpperCamelCase         =					OwlViTProcessor(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=__magic_name__						)

						UpperCamelCase         =					OwlViTProcessor.from_pretrained(
						    self.tmpdirname       ,       bos_token="""(BOS)"""       ,       eos_token="""(EOS)"""       ,       do_normalize=__magic_name__						)

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

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




			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						UpperCamelCase         =					self.get_image_processor()
						UpperCamelCase         =					self.get_tokenizer()

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)

						UpperCamelCase         =					self.prepare_image_inputs()

						UpperCamelCase         =					image_processor(__magic_name__       ,       return_tensors="""np"""						)
						UpperCamelCase         =					processor(images=__magic_name__       ,       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   lowerCamelCase_					(						self							:		Any						):







						"""simple docstring"""







						UpperCamelCase         =					self.get_image_processor()
						UpperCamelCase         =					self.get_tokenizer()

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)

						UpperCamelCase         =					"""lower newer"""

						UpperCamelCase         =					processor(text=__magic_name__       ,       return_tensors="""np"""						)

						UpperCamelCase         =					tokenizer(__magic_name__       ,       return_tensors="""np"""						)

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




			def   lowerCamelCase_					(						self							:		Optional[Any]						):







						"""simple docstring"""







						UpperCamelCase         =					self.get_image_processor()
						UpperCamelCase         =					self.get_tokenizer()

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)

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

						UpperCamelCase         =					processor(text=__magic_name__       ,       images=__magic_name__						)

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

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




			def   lowerCamelCase_					(						self							:		int						):







						"""simple docstring"""







						UpperCamelCase         =					"""google/owlvit-base-patch32"""
						UpperCamelCase         =					OwlViTProcessor.from_pretrained(__magic_name__						)

						UpperCamelCase         =					["""cat""", """nasa badge"""]
						UpperCamelCase         =					processor(text=__magic_name__						)

						UpperCamelCase         =					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(__magic_name__						):
									processor()




			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						UpperCamelCase         =					"""google/owlvit-base-patch32"""
						UpperCamelCase         =					OwlViTProcessor.from_pretrained(__magic_name__						)

						UpperCamelCase         =					[["""cat""", """nasa badge"""], ["""person"""]]
						UpperCamelCase         =					processor(text=__magic_name__						)

						UpperCamelCase         =					1_6
						UpperCamelCase         =					len(__magic_name__						)
						UpperCamelCase         =					max([len(__magic_name__						) 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(__magic_name__						):
									processor()




			def   lowerCamelCase_					(						self							:		List[str]						):







						"""simple docstring"""







						UpperCamelCase         =					"""google/owlvit-base-patch32"""
						UpperCamelCase         =					OwlViTProcessor.from_pretrained(__magic_name__						)

						UpperCamelCase         =					["""cat""", """nasa badge"""]
						UpperCamelCase         =					processor(text=__magic_name__						)

						UpperCamelCase         =					1_6
						UpperCamelCase         =					inputs["""input_ids"""]
						UpperCamelCase         =					[
						    [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   lowerCamelCase_					(						self							:		str						):







						"""simple docstring"""







						UpperCamelCase         =					self.get_image_processor()
						UpperCamelCase         =					self.get_tokenizer()

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)

						UpperCamelCase         =					self.prepare_image_inputs()
						UpperCamelCase         =					self.prepare_image_inputs()

						UpperCamelCase         =					processor(images=__magic_name__       ,       query_images=__magic_name__						)

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

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





			def   lowerCamelCase_					(						self							:		Dict						):







						"""simple docstring"""







						UpperCamelCase         =					self.get_image_processor()
						UpperCamelCase         =					self.get_tokenizer()

						UpperCamelCase         =					OwlViTProcessor(tokenizer=__magic_name__       ,       image_processor=__magic_name__						)

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

						UpperCamelCase         =					processor.batch_decode(__magic_name__						)
						UpperCamelCase         =					tokenizer.batch_decode(__magic_name__						)

						self.assertListEqual(__magic_name__       ,       __magic_name__						)




