



"""simple docstring"""







import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pytest

from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex

from .utils import require_elasticsearch, require_faiss


lowerCAmelCase_   						=   pytest.mark.integration
@require_faiss
class        __A       (	A_    ):







		'''simple docstring'''





		def 					UpperCAmelCase    (	self						:  List[str]						)					->		str:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(__SCREAMING_SNAKE_CASE						) for x in np.arange(30						).tolist()]}						)
				return dset







		def 					UpperCAmelCase    (	self						:  str						)					->		Optional[int]:






				"""simple docstring"""



				import faiss

				lowercase__   :    Optional[int]				=			self._create_dummy_dataset()
				lowercase__   :    int				=			dset.map(
				    lambda _snake_case			,_snake_case						: {"vecs": i * np.ones(5			,dtype=np.floataa						)}			,with_indices=__SCREAMING_SNAKE_CASE			,keep_in_memory=__SCREAMING_SNAKE_CASE						)
				lowercase__   :    str				=			dset.add_faiss_index('''vecs'''			,batch_size=100			,metric_type=faiss.METRIC_INNER_PRODUCT						)
				lowercase__		,			lowercase__   :    Any				=			dset.get_nearest_examples('''vecs'''			,np.ones(5			,dtype=np.floataa						)						)
				self.assertEqual(examples['''filename'''][0]			,'''my_name-train_29'''						)
				dset.drop_index('''vecs'''						)







		def 					UpperCAmelCase    (	self						:  List[str]						)					->		Tuple:






				"""simple docstring"""



				import faiss

				lowercase__   :    List[Any]				=			self._create_dummy_dataset()
				dset.add_faiss_index_from_external_arrays(
				    external_arrays=np.ones((30, 5)						) * np.arange(30						).reshape(-1			,1						)			,index_name='''vecs'''			,batch_size=100			,metric_type=faiss.METRIC_INNER_PRODUCT			,)
				lowercase__		,			lowercase__   :    Optional[int]				=			dset.get_nearest_examples('''vecs'''			,np.ones(5			,dtype=np.floataa						)						)
				self.assertEqual(examples['''filename'''][0]			,'''my_name-train_29'''						)







		def 					UpperCAmelCase    (	self						:  int						)					->		List[str]:






				"""simple docstring"""



				import faiss

				lowercase__   :    List[Any]				=			self._create_dummy_dataset()
				dset.add_faiss_index_from_external_arrays(
				    external_arrays=np.ones((30, 5)						) * np.arange(30						).reshape(-1			,1						)			,index_name='''vecs'''			,metric_type=faiss.METRIC_INNER_PRODUCT			,)

				# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
				# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
				# see https://bugs.python.org/issue14243 and
				# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
				with tempfile.NamedTemporaryFile(delete=__SCREAMING_SNAKE_CASE						) as tmp_file:
						dset.save_faiss_index('''vecs'''			,tmp_file.name						)
						dset.load_faiss_index('''vecs2'''			,tmp_file.name						)
				os.unlink(tmp_file.name						)

				lowercase__		,			lowercase__   :    List[str]				=			dset.get_nearest_examples('''vecs2'''			,np.ones(5			,dtype=np.floataa						)						)
				self.assertEqual(examples['''filename'''][0]			,'''my_name-train_29'''						)







		def 					UpperCAmelCase    (	self						:  Dict						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    Tuple				=			self._create_dummy_dataset()
				dset.add_faiss_index_from_external_arrays(
				    external_arrays=np.ones((30, 5)						) * np.arange(30						).reshape(-1			,1						)			,index_name='''vecs'''						)
				dset.drop_index('''vecs'''						)
				self.assertRaises(__SCREAMING_SNAKE_CASE			,partial(dset.get_nearest_examples			,'''vecs2'''			,np.ones(5			,dtype=np.floataa						)						)						)







		def 					UpperCAmelCase    (	self						:  Union[str, Any]						)					->		Optional[Any]:






				"""simple docstring"""



				from elasticsearch import Elasticsearch

				lowercase__   :    List[Any]				=			self._create_dummy_dataset()
				with patch('''elasticsearch.Elasticsearch.search'''						) as mocked_search, patch(
				    '''elasticsearch.client.IndicesClient.create'''						) as mocked_index_create, patch('''elasticsearch.helpers.streaming_bulk'''						) as mocked_bulk:
						lowercase__   :    Tuple				=			{'''acknowledged''': True}
						mocked_bulk.return_value([(True, None)] * 30						)
						lowercase__   :    Any				=			{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 29}]}}
						lowercase__   :    Tuple				=			Elasticsearch()

						dset.add_elasticsearch_index('''filename'''			,es_client=__SCREAMING_SNAKE_CASE						)
						lowercase__		,			lowercase__   :    Any				=			dset.get_nearest_examples('''filename'''			,'''my_name-train_29'''						)
						self.assertEqual(examples['''filename'''][0]			,'''my_name-train_29'''						)





@require_faiss
class        __A       (	A_    ):







		'''simple docstring'''





		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		int:






				"""simple docstring"""



				import faiss

				lowercase__   :    Tuple				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT						)

				# add vectors
				index.add_vectors(np.eye(5			,dtype=np.floataa						)						)
				self.assertIsNotNone(index.faiss_index						)
				self.assertEqual(index.faiss_index.ntotal			,5						)
				index.add_vectors(np.zeros((5, 5)			,dtype=np.floataa						)						)
				self.assertEqual(index.faiss_index.ntotal			,10						)

				# single query
				lowercase__   :    str				=			np.zeros(5			,dtype=np.floataa						)
				lowercase__   :    Dict				=			1
				lowercase__		,			lowercase__   :    Tuple				=			index.search(__SCREAMING_SNAKE_CASE						)
				self.assertRaises(__SCREAMING_SNAKE_CASE			,index.search			,query.reshape(-1			,1						)						)
				self.assertGreater(scores[0]			,0						)
				self.assertEqual(indices[0]			,1						)

				# batched queries
				lowercase__   :    Optional[int]				=			np.eye(5			,dtype=np.floataa						)[::-1]
				lowercase__		,			lowercase__   :    List[Any]				=			index.search_batch(__SCREAMING_SNAKE_CASE						)
				self.assertRaises(__SCREAMING_SNAKE_CASE			,index.search_batch			,queries[0]						)
				lowercase__   :    Union[str, Any]				=			[scores[0] for scores in total_scores]
				lowercase__   :    List[Any]				=			[indices[0] for indices in total_indices]
				self.assertGreater(np.min(__SCREAMING_SNAKE_CASE						)			,0						)
				self.assertListEqual([4, 3, 2, 1, 0]			,__SCREAMING_SNAKE_CASE						)







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		List[Any]:






				"""simple docstring"""



				import faiss

				lowercase__   :    Tuple				=			FaissIndex(string_factory='''Flat'''						)
				index.add_vectors(np.eye(5			,dtype=np.floataa						)						)
				self.assertIsInstance(index.faiss_index			,faiss.IndexFlat						)
				lowercase__   :    Any				=			FaissIndex(string_factory='''LSH'''						)
				index.add_vectors(np.eye(5			,dtype=np.floataa						)						)
				self.assertIsInstance(index.faiss_index			,faiss.IndexLSH						)
				with self.assertRaises(__SCREAMING_SNAKE_CASE						):
						lowercase__   :    Optional[int]				=			FaissIndex(string_factory='''Flat'''			,custom_index=faiss.IndexFlat(5						)						)







		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		List[Any]:






				"""simple docstring"""



				import faiss

				lowercase__   :    Any				=			faiss.IndexFlat(5						)
				lowercase__   :    Tuple				=			FaissIndex(custom_index=__SCREAMING_SNAKE_CASE						)
				index.add_vectors(np.eye(5			,dtype=np.floataa						)						)
				self.assertIsInstance(index.faiss_index			,faiss.IndexFlat						)







		def 					UpperCAmelCase    (	self						:  Optional[Any]						)					->		int:






				"""simple docstring"""



				import faiss

				lowercase__   :    Optional[Any]				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT						)
				index.add_vectors(np.eye(5			,dtype=np.floataa						)						)

				# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
				# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
				# see https://bugs.python.org/issue14243 and
				# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
				with tempfile.NamedTemporaryFile(delete=__SCREAMING_SNAKE_CASE						) as tmp_file:
						index.save(tmp_file.name						)
						lowercase__   :    List[Any]				=			FaissIndex.load(tmp_file.name						)
				os.unlink(tmp_file.name						)

				lowercase__   :    Optional[Any]				=			np.zeros(5			,dtype=np.floataa						)
				lowercase__   :    Union[str, Any]				=			1
				lowercase__		,			lowercase__   :    Optional[Any]				=			index.search(__SCREAMING_SNAKE_CASE						)
				self.assertGreater(scores[0]			,0						)
				self.assertEqual(indices[0]			,1						)





@require_faiss
def      __UpperCAmelCase      (    __lowerCamelCase	)							->      int:
		import faiss

		lowercase__   :    str				=			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT	)
		index.add_vectors(np.eye(5						,     dtype=np.floataa	)	)

		lowercase__   :    Optional[Any]				=			'''index.faiss'''
		lowercase__   :    Optional[Any]				=			f"""mock://{index_name}"""
		index.save(a__						,     storage_options=mockfs.storage_options	)
		lowercase__   :    Optional[Any]				=			FaissIndex.load(a__						,     storage_options=mockfs.storage_options	)

		lowercase__   :    List[Any]				=			np.zeros(5						,     dtype=np.floataa	)
		lowercase__   :    Dict				=			1
		lowercase__		,			lowercase__   :    Any				=			index.search(a__	)
		assert scores[0] > 0
		assert indices[0] == 1





@require_elasticsearch
class        __A       (	A_    ):







		'''simple docstring'''





		def 					UpperCAmelCase    (	self						:  int						)					->		int:






				"""simple docstring"""



				from elasticsearch import Elasticsearch

				with patch('''elasticsearch.Elasticsearch.search'''						) as mocked_search, patch(
				    '''elasticsearch.client.IndicesClient.create'''						) as mocked_index_create, patch('''elasticsearch.helpers.streaming_bulk'''						) as mocked_bulk:
						lowercase__   :    Union[str, Any]				=			Elasticsearch()
						lowercase__   :    int				=			{'''acknowledged''': True}
						lowercase__   :    Dict				=			ElasticSearchIndex(es_client=__SCREAMING_SNAKE_CASE						)
						mocked_bulk.return_value([(True, None)] * 3						)
						index.add_documents(['''foo''', '''bar''', '''foobar''']						)

						# single query
						lowercase__   :    Union[str, Any]				=			'''foo'''
						lowercase__   :    Optional[int]				=			{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
						lowercase__		,			lowercase__   :    Union[str, Any]				=			index.search(__SCREAMING_SNAKE_CASE						)
						self.assertEqual(scores[0]			,1						)
						self.assertEqual(indices[0]			,0						)

						# single query with timeout
						lowercase__   :    Optional[int]				=			'''foo'''
						lowercase__   :    Dict				=			{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
						lowercase__		,			lowercase__   :    List[str]				=			index.search(__SCREAMING_SNAKE_CASE			,request_timeout=30						)
						self.assertEqual(scores[0]			,1						)
						self.assertEqual(indices[0]			,0						)

						# batched queries
						lowercase__   :    int				=			['''foo''', '''bar''', '''foobar''']
						lowercase__   :    List[str]				=			{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
						lowercase__		,			lowercase__   :    List[str]				=			index.search_batch(__SCREAMING_SNAKE_CASE						)
						lowercase__   :    Optional[int]				=			[scores[0] for scores in total_scores]
						lowercase__   :    int				=			[indices[0] for indices in total_indices]
						self.assertGreater(np.min(__SCREAMING_SNAKE_CASE						)			,0						)
						self.assertListEqual([1, 1, 1]			,__SCREAMING_SNAKE_CASE						)

						# batched queries with timeout
						lowercase__   :    List[str]				=			['''foo''', '''bar''', '''foobar''']
						lowercase__   :    Union[str, Any]				=			{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
						lowercase__		,			lowercase__   :    str				=			index.search_batch(__SCREAMING_SNAKE_CASE			,request_timeout=30						)
						lowercase__   :    Union[str, Any]				=			[scores[0] for scores in total_scores]
						lowercase__   :    Optional[int]				=			[indices[0] for indices in total_indices]
						self.assertGreater(np.min(__SCREAMING_SNAKE_CASE						)			,0						)
						self.assertListEqual([1, 1, 1]			,__SCREAMING_SNAKE_CASE						)



'''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 						lowerCAmelCase__   (      unittest.TestCase					):



 """simple docstring"""



 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      tempfile.mkdtemp()

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

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

      __SCREAMING_SNAKE_CASE     =      {
          """do_resize""": True,
          """size""": 20,
          """do_center_crop""": True,
          """crop_size""": 18,
          """do_normalize""": True,
          """image_mean""": [0.48145466, 0.4578275, 0.40821073],
          """image_std""": [0.26862954, 0.26130258, 0.27577711],
      }
      __SCREAMING_SNAKE_CASE     =      os.path.join(self.tmpdirname					,							__SCREAMING_SNAKE_CASE			)
      with open(self.image_processor_file					,							"""w"""					,							encoding="""utf-8"""			) as fp:
           json.dump(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Optional[int]					,							**__SCREAMING_SNAKE_CASE					:       Optional[int]			)  -> str:


      """simple docstring"""




      return CLIPTokenizer.from_pretrained(self.tmpdirname					,							**__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Tuple					,							**__SCREAMING_SNAKE_CASE					:       Any			)  -> int:


      """simple docstring"""




      return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,							**__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Optional[Any]					,							**__SCREAMING_SNAKE_CASE					:       Optional[int]			)  -> List[str]:


      """simple docstring"""




      return CLIPImageProcessor.from_pretrained(self.tmpdirname					,							**__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Tuple			)  -> str:


      """simple docstring"""




      shutil.rmtree(self.tmpdirname			)
 def       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> str:


      """simple docstring"""




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

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

      return image_inputs
 def       UpperCAmelCase__		(		self					:       Optional[int]			)  -> Any:


      """simple docstring"""




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

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

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

      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					,							__SCREAMING_SNAKE_CASE			)
      self.assertIsInstance(processor_fast.image_processor					,							__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Optional[int]			)  -> Dict:


      """simple docstring"""




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

      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer(bos_token="""(BOS)"""					,							eos_token="""(EOS)"""			)
      __SCREAMING_SNAKE_CASE     =      self.get_image_processor(do_normalize=__SCREAMING_SNAKE_CASE					,							padding_value=1.0			)

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor.from_pretrained(
          self.tmpdirname					,							bos_token="""(BOS)"""					,							eos_token="""(EOS)"""					,							do_normalize=__SCREAMING_SNAKE_CASE					,							padding_value=1.0			)

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

      self.assertEqual(processor.image_processor.to_json_string()					,							image_processor_add_kwargs.to_json_string()			)
      self.assertIsInstance(processor.image_processor					,							__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=__SCREAMING_SNAKE_CASE					,							image_processor=__SCREAMING_SNAKE_CASE			)

      __SCREAMING_SNAKE_CASE     =      self.prepare_image_inputs()

      __SCREAMING_SNAKE_CASE     =      image_processor(__SCREAMING_SNAKE_CASE					,							return_tensors="""np"""			)
      __SCREAMING_SNAKE_CASE     =      processor(images=__SCREAMING_SNAKE_CASE					,							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					:       List[Any]			)  -> int:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=__SCREAMING_SNAKE_CASE					,							image_processor=__SCREAMING_SNAKE_CASE			)

      __SCREAMING_SNAKE_CASE     =      """lower newer"""

      __SCREAMING_SNAKE_CASE     =      processor(text=__SCREAMING_SNAKE_CASE			)

      __SCREAMING_SNAKE_CASE     =      tokenizer(__SCREAMING_SNAKE_CASE			)

      for key in encoded_tok.keys():
           self.assertListEqual(encoded_tok[key]					,							encoded_processor[key]			)
 def       UpperCAmelCase__		(		self					:       Dict			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=__SCREAMING_SNAKE_CASE					,							image_processor=__SCREAMING_SNAKE_CASE			)

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

      __SCREAMING_SNAKE_CASE     =      processor(text=__SCREAMING_SNAKE_CASE					,							images=__SCREAMING_SNAKE_CASE			)

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

      # test if it raises when no input is passed
      with pytest.raises(__SCREAMING_SNAKE_CASE			):
           processor()
 def       UpperCAmelCase__		(		self					:       List[str]			)  -> Union[str, Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=__SCREAMING_SNAKE_CASE					,							image_processor=__SCREAMING_SNAKE_CASE			)

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

      __SCREAMING_SNAKE_CASE     =      processor.batch_decode(__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      tokenizer.batch_decode(__SCREAMING_SNAKE_CASE			)

      self.assertListEqual(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)


 def       UpperCAmelCase__		(		self					:       int			)  -> str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self.get_image_processor()
      __SCREAMING_SNAKE_CASE     =      self.get_tokenizer()

      __SCREAMING_SNAKE_CASE     =      CLIPProcessor(tokenizer=__SCREAMING_SNAKE_CASE					,							image_processor=__SCREAMING_SNAKE_CASE			)

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

      __SCREAMING_SNAKE_CASE     =      processor(text=__SCREAMING_SNAKE_CASE					,							images=__SCREAMING_SNAKE_CASE			)

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






