



'''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 OwlViTImageProcessor, OwlViTProcessor







@require_vision
class     UpperCAmelCase_       (       unittest.TestCase	):
    """simple docstring"""







    def lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    Tuple    						=      tempfile.mkdtemp()

          # fmt: off
          snake_case__  :    Optional[int]    						=      ["""""", """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
          snake_case__  :    Union[str, Any]    						=      dict(zip(snake_case_ ,     range(len(snake_case_						)						)						)						)
          snake_case__  :    List[Any]    						=      ["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>""", """"""]
          snake_case__  :    Union[str, Any]    						=      {"""unk_token""": """<unk>"""}

          snake_case__  :    List[Any]    						=      os.path.join(self.tmpdirname ,     VOCAB_FILES_NAMES["""vocab_file"""]						)
          snake_case__  :    str    						=      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_						)						)

          snake_case__  :    List[str]    						=      {
              """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],
          }
          snake_case__  :    int    						=      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 lowerCamelCase       (    self					:     int ,     **snake_case_					:     List[Any]						):
          return CLIPTokenizer.from_pretrained(self.tmpdirname ,     pad_token="""!""" ,     **snake_case_						)




    def lowerCamelCase       (    self					:     Dict ,     **snake_case_					:     int						):
          return CLIPTokenizerFast.from_pretrained(self.tmpdirname ,     pad_token="""!""" ,     **snake_case_						)




    def lowerCamelCase       (    self					:     str ,     **snake_case_					:     Union[str, Any]						):
          return OwlViTImageProcessor.from_pretrained(self.tmpdirname ,     **snake_case_						)




    def lowerCamelCase       (    self					:     Tuple						):
          shutil.rmtree(self.tmpdirname						)




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    Tuple    						=      [np.random.randint(255 ,     size=(3, 30, 400) ,     dtype=np.uinta						)]

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

          return image_inputs




    def lowerCamelCase       (    self					:     Optional[Any]						):
          snake_case__  :    List[Any]    						=      self.get_tokenizer()
          snake_case__  :    int    						=      self.get_rust_tokenizer()
          snake_case__  :    Optional[int]    						=      self.get_image_processor()

          snake_case__  :    List[Any]    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)
          processor_slow.save_pretrained(self.tmpdirname						)
          snake_case__  :    Tuple    						=      OwlViTProcessor.from_pretrained(self.tmpdirname ,     use_fast=snake_case_						)

          snake_case__  :    List[Any]    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)
          processor_fast.save_pretrained(self.tmpdirname						)
          snake_case__  :    List[str]    						=      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 lowerCamelCase       (    self					:     List[Any]						):
          snake_case__  :    Dict    						=      OwlViTProcessor(tokenizer=self.get_tokenizer() ,     image_processor=self.get_image_processor()						)
          processor.save_pretrained(self.tmpdirname						)

          snake_case__  :    Any    						=      self.get_tokenizer(bos_token="""(BOS)""" ,     eos_token="""(EOS)"""						)
          snake_case__  :    Union[str, Any]    						=      self.get_image_processor(do_normalize=snake_case_						)

          snake_case__  :    Optional[Any]    						=      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 lowerCamelCase       (    self					:     Tuple						):
          snake_case__  :    List[Any]    						=      self.get_image_processor()
          snake_case__  :    Optional[int]    						=      self.get_tokenizer()

          snake_case__  :    List[str]    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)

          snake_case__  :    List[Any]    						=      self.prepare_image_inputs()

          snake_case__  :    str    						=      image_processor(snake_case_ ,     return_tensors="""np"""						)
          snake_case__  :    Optional[Any]    						=      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 lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    Union[str, Any]    						=      self.get_image_processor()
          snake_case__  :    str    						=      self.get_tokenizer()

          snake_case__  :    Tuple    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)

          snake_case__  :    Tuple    						=      """lower newer"""

          snake_case__  :    Tuple    						=      processor(text=snake_case_ ,     return_tensors="""np"""						)

          snake_case__  :    Any    						=      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 lowerCamelCase       (    self					:     Optional[int]						):
          snake_case__  :    Any    						=      self.get_image_processor()
          snake_case__  :    List[str]    						=      self.get_tokenizer()

          snake_case__  :    str    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)

          snake_case__  :    List[str]    						=      """lower newer"""
          snake_case__  :    Optional[int]    						=      self.prepare_image_inputs()

          snake_case__  :    Optional[int]    						=      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 lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    Optional[int]    						=      """google/owlvit-base-patch32"""
          snake_case__  :    Optional[int]    						=      OwlViTProcessor.from_pretrained(snake_case_						)

          snake_case__  :    Any    						=      ["""cat""", """nasa badge"""]
          snake_case__  :    Optional[Any]    						=      processor(text=snake_case_						)

          snake_case__  :    int    						=      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 lowerCamelCase       (    self					:     str						):
          snake_case__  :    int    						=      """google/owlvit-base-patch32"""
          snake_case__  :    str    						=      OwlViTProcessor.from_pretrained(snake_case_						)

          snake_case__  :    Union[str, Any]    						=      [["""cat""", """nasa badge"""], ["""person"""]]
          snake_case__  :    str    						=      processor(text=snake_case_						)

          snake_case__  :    Union[str, Any]    						=      16
          snake_case__  :    Optional[int]    						=      len(snake_case_						)
          snake_case__  :    Optional[int]    						=      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 lowerCamelCase       (    self					:     Tuple						):
          snake_case__  :    str    						=      """google/owlvit-base-patch32"""
          snake_case__  :    Optional[int]    						=      OwlViTProcessor.from_pretrained(snake_case_						)

          snake_case__  :    int    						=      ["""cat""", """nasa badge"""]
          snake_case__  :    Optional[int]    						=      processor(text=snake_case_						)

          snake_case__  :    Union[str, Any]    						=      16
          snake_case__  :    Any    						=      inputs["""input_ids"""]
          snake_case__  :    Optional[int]    						=      [
              [49_406, 2_368, 49_407, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
              [49_406, 6_841, 11_301, 49_407, 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					:     Dict						):
          snake_case__  :    List[str]    						=      self.get_image_processor()
          snake_case__  :    Any    						=      self.get_tokenizer()

          snake_case__  :    Optional[Any]    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)

          snake_case__  :    List[str]    						=      self.prepare_image_inputs()
          snake_case__  :    int    						=      self.prepare_image_inputs()

          snake_case__  :    Tuple    						=      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 lowerCamelCase       (    self					:     Dict						):
          snake_case__  :    Any    						=      self.get_image_processor()
          snake_case__  :    str    						=      self.get_tokenizer()

          snake_case__  :    Union[str, Any]    						=      OwlViTProcessor(tokenizer=snake_case_ ,     image_processor=snake_case_						)

          snake_case__  :    Tuple    						=      [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          snake_case__  :    List[Any]    						=      processor.batch_decode(snake_case_						)
          snake_case__  :    str    						=      tokenizer.batch_decode(snake_case_						)

          self.assertListEqual(snake_case_ ,     snake_case_						)





'''simple docstring'''





from PIL import Image





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase		)		-> Image:

      def brightness(_lowerCAmelCase		) -> float:
            return 128 + level + (c - 128)

      if not -255.0 <= level <= 255.0:
            raise ValueError("""level must be between -255.0 (black) and 255.0 (white)"""		)
      return img.point(_lowerCAmelCase		)


if __name__ == "__main__":
       # Load image
       with Image.open("image_data/lena.jpg") as img:
              # Change brightness to 100
              __a          =		change_brightness(img, 100)
              brigt_img.save("image_data/lena_brightness.png", format="png")
