




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   ):



 '''simple docstring'''


 def 				a__ (				self					:  Dict  )   ->	List[str]:

       """simple docstring"""






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

       lowerCamelCase_		     =    {
           """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],
       }
       lowerCamelCase_		     =    os.path.join(self.tmpdirname						,							snake_case_  )
       with open(self.image_processor_file						,							'w'						,							encoding='utf-8'  ) as fp:
             json.dump(snake_case_						,							snake_case_  )

 def 				a__ (				self					:  int						,							**A_					:  List[Any]  )   ->	Tuple:

       """simple docstring"""






       return CLIPTokenizer.from_pretrained(self.tmpdirname						,							pad_token='!'						,							**snake_case_  )

 def 				a__ (				self					:  Dict						,							**A_					:  int  )   ->	List[Any]:

       """simple docstring"""






       return CLIPTokenizerFast.from_pretrained(self.tmpdirname						,							pad_token='!'						,							**snake_case_  )

 def 				a__ (				self					:  str						,							**A_					:  Union[str, Any]  )   ->	List[str]:

       """simple docstring"""






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

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

       """simple docstring"""






       shutil.rmtree(self.tmpdirname  )

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

       """simple docstring"""






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

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

       return image_inputs

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

       """simple docstring"""






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

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )
       processor_slow.save_pretrained(self.tmpdirname  )
       lowerCamelCase_		     =    OwlViTProcessor.from_pretrained(self.tmpdirname						,							use_fast=snake_case_  )

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )
       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						,							snake_case_  )
       self.assertIsInstance(processor_fast.tokenizer						,							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						,							snake_case_  )
       self.assertIsInstance(processor_fast.image_processor						,							snake_case_  )

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

       """simple docstring"""






       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=snake_case_  )

       lowerCamelCase_		     =    OwlViTProcessor.from_pretrained(
           self.tmpdirname						,							bos_token='(BOS)'						,							eos_token='(EOS)'						,							do_normalize=snake_case_  )

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

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

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

       """simple docstring"""






       lowerCamelCase_		     =    self.get_image_processor()
       lowerCamelCase_		     =    self.get_tokenizer()

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )

       lowerCamelCase_		     =    self.prepare_image_inputs()

       lowerCamelCase_		     =    image_processor(snake_case_						,							return_tensors='np'  )
       lowerCamelCase_		     =    processor(images=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 				a__ (				self					:  Dict  )   ->	str:

       """simple docstring"""






       lowerCamelCase_		     =    self.get_image_processor()
       lowerCamelCase_		     =    self.get_tokenizer()

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )

       lowerCamelCase_		     =    """lower newer"""

       lowerCamelCase_		     =    processor(text=snake_case_						,							return_tensors='np'  )

       lowerCamelCase_		     =    tokenizer(snake_case_						,							return_tensors='np'  )

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

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

       """simple docstring"""






       lowerCamelCase_		     =    self.get_image_processor()
       lowerCamelCase_		     =    self.get_tokenizer()

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )

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

       lowerCamelCase_		     =    processor(text=snake_case_						,							images=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(snake_case_  ):
             processor()

 def 				a__ (				self					:  Dict  )   ->	Any:

       """simple docstring"""






       lowerCamelCase_		     =    """google/owlvit-base-patch32"""
       lowerCamelCase_		     =    OwlViTProcessor.from_pretrained(snake_case_  )

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

       lowerCamelCase_		     =    16
       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(snake_case_  ):
             processor()

 def 				a__ (				self					:  str  )   ->	Dict:

       """simple docstring"""






       lowerCamelCase_		     =    """google/owlvit-base-patch32"""
       lowerCamelCase_		     =    OwlViTProcessor.from_pretrained(snake_case_  )

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

       lowerCamelCase_		     =    16
       lowerCamelCase_		     =    len(snake_case_  )
       lowerCamelCase_		     =    max([len(snake_case_  ) 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(snake_case_  ):
             processor()

 def 				a__ (				self					:  Tuple  )   ->	int:

       """simple docstring"""






       lowerCamelCase_		     =    """google/owlvit-base-patch32"""
       lowerCamelCase_		     =    OwlViTProcessor.from_pretrained(snake_case_  )

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

       lowerCamelCase_		     =    16
       lowerCamelCase_		     =    inputs["""input_ids"""]
       lowerCamelCase_		     =    [
           [49406, 2368, 49407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
           [49406, 6841, 11301, 49407, 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 				a__ (				self					:  Dict  )   ->	Optional[int]:

       """simple docstring"""






       lowerCamelCase_		     =    self.get_image_processor()
       lowerCamelCase_		     =    self.get_tokenizer()

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )

       lowerCamelCase_		     =    self.prepare_image_inputs()
       lowerCamelCase_		     =    self.prepare_image_inputs()

       lowerCamelCase_		     =    processor(images=snake_case_						,							query_images=snake_case_  )

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

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





 def 				a__ (				self					:  Dict  )   ->	Optional[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    self.get_image_processor()
       lowerCamelCase_		     =    self.get_tokenizer()

       lowerCamelCase_		     =    OwlViTProcessor(tokenizer=snake_case_						,							image_processor=snake_case_  )

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

       lowerCamelCase_		     =    processor.batch_decode(snake_case_  )
       lowerCamelCase_		     =    tokenizer.batch_decode(snake_case_  )

       self.assertListEqual(snake_case_						,							snake_case_  )








'''simple docstring'''





def 						__snake_case(				_lowerCAmelCase = 1_000		)		-> int:
      return sum(e for e in range(3     ,   _lowerCAmelCase		) if e % 3 == 0 or e % 5 == 0		)


if __name__ == "__main__":
       print(F"{solution() = }")
