


import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__a     =			"""▁"""

__a     =			get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
@require_tokenizers
class   __lowercase				(  lowercase__ ,					unittest.TestCase  ):
      UpperCamelCase								=       BigBirdTokenizer
      UpperCamelCase								=       BigBirdTokenizerFast
      UpperCamelCase								=       True
      UpperCamelCase								=       True





      def        _lowercase				(		self						:					Any       )    ->   Tuple:






         """simple docstring"""







         super().setUp()

         UpperCAmelCase							=     self.tokenizer_class(UpperCAmelCase__					,       keep_accents=UpperCAmelCase__       )
         tokenizer.save_pretrained(self.tmpdirname       )





      def        _lowercase				(		self						:					int       )    ->   Any:






         """simple docstring"""







         UpperCAmelCase							=     '''<s>'''
         UpperCAmelCase							=     1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase__       )					,       UpperCAmelCase__       )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase__       )					,       UpperCAmelCase__       )





      def        _lowercase				(		self						:					Optional[int]       )    ->   Tuple:






         """simple docstring"""







         UpperCAmelCase							=     list(self.get_tokenizer().get_vocab().keys()       )

         self.assertEqual(vocab_keys[0]					,       """<unk>"""       )
         self.assertEqual(vocab_keys[1]					,       """<s>"""       )
         self.assertEqual(vocab_keys[-1]					,       """[MASK]"""       )
         self.assertEqual(len(UpperCAmelCase__       )					,       1_0_0_4       )





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






         """simple docstring"""







         self.assertEqual(self.get_tokenizer().vocab_size					,       1_0_0_0       )





      def        _lowercase				(		self						:					Optional[Any]       )    ->   Tuple:






         """simple docstring"""







         if not self.test_rust_tokenizer:
            return

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

         UpperCAmelCase							=     '''I was born in 92000, and this is falsé.'''

         UpperCAmelCase							=     tokenizer.tokenize(UpperCAmelCase__       )
         UpperCAmelCase							=     rust_tokenizer.tokenize(UpperCAmelCase__       )
         self.assertListEqual(UpperCAmelCase__					,       UpperCAmelCase__       )

         UpperCAmelCase							=     tokenizer.encode(UpperCAmelCase__					,       add_special_tokens=UpperCAmelCase__       )
         UpperCAmelCase							=     rust_tokenizer.encode(UpperCAmelCase__					,       add_special_tokens=UpperCAmelCase__       )
         self.assertListEqual(UpperCAmelCase__					,       UpperCAmelCase__       )

         UpperCAmelCase							=     self.get_rust_tokenizer()
         UpperCAmelCase							=     tokenizer.encode(UpperCAmelCase__       )
         UpperCAmelCase							=     rust_tokenizer.encode(UpperCAmelCase__       )
         self.assertListEqual(UpperCAmelCase__					,       UpperCAmelCase__       )





      def        _lowercase				(		self						:					Any       )    ->   List[str]:






         """simple docstring"""







         UpperCAmelCase							=     BigBirdTokenizer(UpperCAmelCase__					,       keep_accents=UpperCAmelCase__       )

         UpperCAmelCase							=     tokenizer.tokenize("""This is a test"""       )
         self.assertListEqual(UpperCAmelCase__					,       ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]       )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(UpperCAmelCase__       )					,       [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]					,       )

         UpperCAmelCase							=     tokenizer.tokenize("""I was born in 92000, and this is falsé."""       )
         self.assertListEqual(
             UpperCAmelCase__					,       [
                 SPIECE_UNDERLINE + """I""",
                 SPIECE_UNDERLINE + """was""",
                 SPIECE_UNDERLINE + """b""",
                 """or""",
                 """n""",
                 SPIECE_UNDERLINE + """in""",
                 SPIECE_UNDERLINE + """""",
                 """9""",
                 """2""",
                 """0""",
                 """0""",
                 """0""",
                 """,""",
                 SPIECE_UNDERLINE + """and""",
                 SPIECE_UNDERLINE + """this""",
                 SPIECE_UNDERLINE + """is""",
                 SPIECE_UNDERLINE + """f""",
                 """al""",
                 """s""",
                 """é""",
                 """.""",
             ]					,       )
         UpperCAmelCase							=     tokenizer.convert_tokens_to_ids(UpperCAmelCase__       )
         self.assertListEqual(
             UpperCAmelCase__					,       [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]					,       )

         UpperCAmelCase							=     tokenizer.convert_ids_to_tokens(UpperCAmelCase__       )
         self.assertListEqual(
             UpperCAmelCase__					,       [
                 SPIECE_UNDERLINE + """I""",
                 SPIECE_UNDERLINE + """was""",
                 SPIECE_UNDERLINE + """b""",
                 """or""",
                 """n""",
                 SPIECE_UNDERLINE + """in""",
                 SPIECE_UNDERLINE + """""",
                 """<unk>""",
                 """2""",
                 """0""",
                 """0""",
                 """0""",
                 """,""",
                 SPIECE_UNDERLINE + """and""",
                 SPIECE_UNDERLINE + """this""",
                 SPIECE_UNDERLINE + """is""",
                 SPIECE_UNDERLINE + """f""",
                 """al""",
                 """s""",
                 """<unk>""",
                 """.""",
             ]					,       )





      @cached_property
      def        _lowercase				(		self						:					str       )    ->   str:






         """simple docstring"""







         return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""       )





      @slow
      def        _lowercase				(		self						:					Union[str, Any]       )    ->   Union[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     '''Hello World!'''
         UpperCAmelCase							=     [6_5, 1_8_5_3_6, 2_2_6_0, 1_0_1, 6_6]

         self.assertListEqual(UpperCAmelCase__					,       self.big_tokenizer.encode(UpperCAmelCase__       )       )





      @slow
      def        _lowercase				(		self						:					List[str]       )    ->   str:






         """simple docstring"""







         UpperCAmelCase							=     (
             '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
             ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
         )
         # fmt: off
         UpperCAmelCase							=     [6_5, 8_7_1, 4_1_9, 3_5_8, 9_4_6, 9_9_1, 2_5_2_1, 4_5_2, 3_5_8, 1_3_5_7, 3_8_7, 7_7_5_1, 3_5_3_6, 1_1_2, 9_8_5, 4_5_6, 1_2_6, 8_6_5, 9_3_8, 5_4_0_0, 5_7_3_4, 4_5_8, 1_3_6_8, 4_6_7, 7_8_6, 2_4_6_2, 5_2_4_6, 1_1_5_9, 6_3_3, 8_6_5, 4_5_1_9, 4_5_7, 5_8_2, 8_5_2, 2_5_5_7, 4_2_7, 9_1_6, 5_0_8, 4_0_5, 3_4_3_2_4, 4_9_7, 3_9_1, 4_0_8, 1_1_3_4_2, 1_2_4_4, 3_8_5, 1_0_0, 9_3_8, 9_8_5, 4_5_6, 5_7_4, 3_6_2, 1_2_5_9_7, 3_2_0_0, 3_1_2_9, 1_1_7_2, 6_6]  # noqa: E231
         # fmt: on
         self.assertListEqual(UpperCAmelCase__					,       self.big_tokenizer.encode(UpperCAmelCase__       )       )





      @require_torch
      @slow
      def        _lowercase				(		self						:					Optional[int]       )    ->   Dict:






         """simple docstring"""







         import torch

         from transformers import BigBirdConfig, BigBirdModel

         # Build sequence
         UpperCAmelCase							=     list(self.big_tokenizer.get_vocab().keys()       )[:1_0]
         UpperCAmelCase							=     ''' '''.join(UpperCAmelCase__       )
         UpperCAmelCase							=     self.big_tokenizer.encode_plus(UpperCAmelCase__					,       return_tensors="""pt"""					,       return_token_type_ids=UpperCAmelCase__       )
         UpperCAmelCase							=     self.big_tokenizer.batch_encode_plus(
             [sequence + """ """ + sequence]					,       return_tensors="""pt"""					,       return_token_type_ids=UpperCAmelCase__       )

         UpperCAmelCase							=     BigBirdConfig(attention_type="""original_full"""       )
         UpperCAmelCase							=     BigBirdModel(UpperCAmelCase__       )

         assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

         with torch.no_grad():
            model(**UpperCAmelCase__       )
            model(**UpperCAmelCase__       )





      @slow
      def        _lowercase				(		self						:					Tuple       )    ->   List[Any]:






         """simple docstring"""







         UpperCAmelCase							=     BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""       )
         UpperCAmelCase							=     tokenizer.decode(tokenizer("""Paris is the [MASK]."""       ).input_ids       )

         self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""       )





      @slow
      def        _lowercase				(		self						:					int       )    ->   Optional[Any]:






         """simple docstring"""







         UpperCAmelCase							=     {'''input_ids''': [[6_5, 3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4, 6_6], [6_5, 4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6_5, 4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=UpperCAmelCase__					,       model_name="""google/bigbird-roberta-base"""					,       revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""					,       )







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   __lowercase				(  unittest.TestCase  ):





      def        _lowercase				(		self						:					List[Any]       )    ->   Dict:






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

         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					,       __lowerCamelCase       )
         with open(self.image_processor_file					,       """w"""					,       encoding="""utf-8"""       ) as fp:
            json.dump(__lowerCamelCase					,       __lowerCamelCase       )





      def        _lowercase				(		self						:					List[Any]					,       **__lowerCamelCase						:					Union[str, Any]       )    ->   int:






         """simple docstring"""







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





      def        _lowercase				(		self						:					Optional[Any]					,       **__lowerCamelCase						:					List[str]       )    ->   str:






         """simple docstring"""







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





      def        _lowercase				(		self						:					Union[str, Any]					,       **__lowerCamelCase						:					Optional[Any]       )    ->   Optional[int]:






         """simple docstring"""







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





      def        _lowercase				(		self						:					Any       )    ->   List[str]:






         """simple docstring"""







         shutil.rmtree(self.tmpdirname       )





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






         """simple docstring"""







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

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

         return image_inputs





      def        _lowercase				(		self						:					int       )    ->   Optional[int]:






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )
         processor_slow.save_pretrained(self.tmpdirname       )
         UpperCAmelCase							=     OwlViTProcessor.from_pretrained(self.tmpdirname					,       use_fast=__lowerCamelCase       )

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )
         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					,       __lowerCamelCase       )
         self.assertIsInstance(processor_fast.tokenizer					,       __lowerCamelCase       )

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





      def        _lowercase				(		self						:					str       )    ->   Dict:






         """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=__lowerCamelCase       )

         UpperCAmelCase							=     OwlViTProcessor.from_pretrained(
             self.tmpdirname					,       bos_token="""(BOS)"""					,       eos_token="""(EOS)"""					,       do_normalize=__lowerCamelCase       )

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

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





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






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )

         UpperCAmelCase							=     self.prepare_image_inputs()

         UpperCAmelCase							=     image_processor(__lowerCamelCase					,       return_tensors="""np"""       )
         UpperCAmelCase							=     processor(images=__lowerCamelCase					,       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						:					Optional[int]       )    ->   Any:






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )

         UpperCAmelCase							=     """lower newer"""

         UpperCAmelCase							=     processor(text=__lowerCamelCase					,       return_tensors="""np"""       )

         UpperCAmelCase							=     tokenizer(__lowerCamelCase					,       return_tensors="""np"""       )

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





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






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )

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

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

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

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





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






         """simple docstring"""







         UpperCAmelCase							=     """google/owlvit-base-patch32"""
         UpperCAmelCase							=     OwlViTProcessor.from_pretrained(__lowerCamelCase       )

         UpperCAmelCase							=     ["""cat""", """nasa badge"""]
         UpperCAmelCase							=     processor(text=__lowerCamelCase       )

         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(__lowerCamelCase       ):
            processor()





      def        _lowercase				(		self						:					Any       )    ->   int:






         """simple docstring"""







         UpperCAmelCase							=     """google/owlvit-base-patch32"""
         UpperCAmelCase							=     OwlViTProcessor.from_pretrained(__lowerCamelCase       )

         UpperCAmelCase							=     [["""cat""", """nasa badge"""], ["""person"""]]
         UpperCAmelCase							=     processor(text=__lowerCamelCase       )

         UpperCAmelCase							=     1_6
         UpperCAmelCase							=     len(__lowerCamelCase       )
         UpperCAmelCase							=     max([len(__lowerCamelCase       ) 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(__lowerCamelCase       ):
            processor()





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






         """simple docstring"""







         UpperCAmelCase							=     """google/owlvit-base-patch32"""
         UpperCAmelCase							=     OwlViTProcessor.from_pretrained(__lowerCamelCase       )

         UpperCAmelCase							=     ["""cat""", """nasa badge"""]
         UpperCAmelCase							=     processor(text=__lowerCamelCase       )

         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        _lowercase				(		self						:					List[Any]       )    ->   Tuple:






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )

         UpperCAmelCase							=     self.prepare_image_inputs()
         UpperCAmelCase							=     self.prepare_image_inputs()

         UpperCAmelCase							=     processor(images=__lowerCamelCase					,       query_images=__lowerCamelCase       )

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

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





      def        _lowercase				(		self						:					Tuple       )    ->   Any:






         """simple docstring"""







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

         UpperCAmelCase							=     OwlViTProcessor(tokenizer=__lowerCamelCase					,       image_processor=__lowerCamelCase       )

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

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

         self.assertListEqual(__lowerCamelCase					,       __lowerCamelCase       )



