




'''simple docstring'''







import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey


class       _a  :
       def __init__(     self						:     Tuple       ,    lowercase						:     Optional[Any]       ,    lowercase						:     int    ):



           '''simple docstring'''

           UpperCAmelCase      	=		0
           # max greyscale value for #FFFFFF
           UpperCAmelCase      	=		int(self.get_greyscale(255       ,    255       ,    255    )    )

           if not self.min_threshold < threshold < self.max_threshold:
               UpperCAmelCase      	=		f"Factor value should be from 0 to {self.max_threshold}"
               raise ValueError(lowercase    )

           UpperCAmelCase      	=		input_img
           UpperCAmelCase      	=		threshold
           UpperCAmelCase	,					UpperCAmelCase      	=		self.input_img.shape[1], self.input_img.shape[0]

           # error table size (+4 columns and +1 row) greater than input image because of
           # lack of if statements
           UpperCAmelCase      	=		[
               [0 for _ in range(self.height + 4    )] for __ in range(self.width + 1    )
           ]
           UpperCAmelCase      	=		np.ones((self.width, self.height, 3)       ,    np.uinta    ) * 255
       @classmethod
       def    A				(     cls						:     Union[str, Any]       ,    lowercase						:     int       ,    lowercase						:     int       ,    lowercase						:     int    ):



           '''simple docstring'''

           return 0.114 * blue + 0.587 * green + 0.2126 * red







       def    A				(     self						:     int    ):



           '''simple docstring'''

           for y in range(self.height    ):
               for x in range(self.width    ):
                   UpperCAmelCase      	=		int(self.get_greyscale(*self.input_img[y][x]    )    )
                   if self.threshold > greyscale + self.error_table[y][x]:
                       UpperCAmelCase      	=		(0, 0, 0)
                       UpperCAmelCase      	=		greyscale + self.error_table[x][y]
                   else:
                       UpperCAmelCase      	=		(255, 255, 255)
                       UpperCAmelCase      	=		greyscale + self.error_table[x][y] - 255
                   self.error_table[y][x + 1] += int(8 / 32 * current_error    )
                   self.error_table[y][x + 2] += int(4 / 32 * current_error    )
                   self.error_table[y + 1][x] += int(8 / 32 * current_error    )
                   self.error_table[y + 1][x + 1] += int(4 / 32 * current_error    )
                   self.error_table[y + 1][x + 2] += int(2 / 32 * current_error    )
                   self.error_table[y + 1][x - 1] += int(4 / 32 * current_error    )
                   self.error_table[y + 1][x - 2] += int(2 / 32 * current_error    )


if __name__ == "__main__":
   # create Burke's instances with original images in greyscale
   A			   =[
       Burkes(imread('image_data/lena.jpg', 1), threshold)
       for threshold in (1, 1_26, 1_30, 1_40)
   ]

   for burkes in burkes_instances:
      burkes.process()

   for burkes in burkes_instances:
      imshow(
          f"""Original image with dithering threshold: {burkes.threshold}""",
          burkes.output_img,
      )

   waitKey(0)
   destroyAllWindows()








'''simple docstring'''







import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class       _a  (     __a							,							unittest.TestCase			):
       __a    :					str           = HerbertTokenizer
       __a    :					Optional[Any]           = HerbertTokenizerFast
       __a    :					Any           = True
       def    A				(     self						:     Any    ):



           '''simple docstring'''

           super().setUp()

           # Use a simpler test file without japanese/chinese characters
           with open(f"{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"       ,    encoding='''utf-8'''    ) as f_data:
               UpperCAmelCase      	=		f_data.read().replace('''\n\n'''       ,    '''\n'''    ).strip()

           UpperCAmelCase      	=		[
               '''<s>''',
               '''</s>''',
               '''l''',
               '''o''',
               '''w''',
               '''e''',
               '''r''',
               '''s''',
               '''t''',
               '''i''',
               '''d''',
               '''n''',
               '''w</w>''',
               '''r</w>''',
               '''t</w>''',
               '''lo''',
               '''low''',
               '''er</w>''',
               '''low</w>''',
               '''lowest</w>''',
               '''newer</w>''',
               '''wider</w>''',
               ''',</w>''',
               '''<unk>''',
           ]
           UpperCAmelCase      	=		dict(zip(lowercase       ,    range(len(lowercase    )    )    )    )
           UpperCAmelCase      	=		['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

           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'''    ) as fp:
               fp.write(json.dumps(lowercase    )    )
           with open(self.merges_file       ,    '''w'''    ) as fp:
               fp.write('''\n'''.join(lowercase    )    )
       def    A				(     self						:     List[Any]       ,    lowercase						:     Optional[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		'''lower newer'''
           UpperCAmelCase      	=		'''lower newer'''
           return input_text, output_text
       def    A				(     self						:     int    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(vocab_file=self.vocab_file       ,    merges_file=self.merges_file    )

           UpperCAmelCase      	=		'''lower'''
           UpperCAmelCase      	=		['''low''', '''er</w>''']
           UpperCAmelCase      	=		tokenizer.tokenize(lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           UpperCAmelCase      	=		tokens + ['''<unk>''']
           UpperCAmelCase      	=		[16, 17, 23]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase    )       ,    lowercase    )
       def    A				(     self						:     str    ):



           '''simple docstring'''

           if not self.test_rust_tokenizer:
               return

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

           UpperCAmelCase      	=		'''lower,newer'''

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

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

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







       @slow
       def    A				(     self						:     int    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class.from_pretrained('''allegro/herbert-base-cased'''    )

           UpperCAmelCase      	=		tokenizer.encode('''konstruowanie sekwencji'''       ,    add_special_tokens=lowercase    )
           UpperCAmelCase      	=		tokenizer.encode('''konstruowanie wielu sekwencji'''       ,    add_special_tokens=lowercase    )

           UpperCAmelCase      	=		tokenizer.build_inputs_with_special_tokens(lowercase    )
           UpperCAmelCase      	=		tokenizer.build_inputs_with_special_tokens(lowercase       ,    lowercase    )

           assert encoded_sentence == [0] + text + [2]
           assert encoded_pair == [0] + text + [2] + text_a + [2]




