





"""simple docstring"""


import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 	__a   (  lowerCAmelCase__	,						unittest.TestCase		):
     SCREAMING_SNAKE_CASE__ :      Tuple       		=			ElectraTokenizer
     SCREAMING_SNAKE_CASE__ :      Dict       		=			ElectraTokenizerFast
     SCREAMING_SNAKE_CASE__ :      Optional[Any]       		=			True
     SCREAMING_SNAKE_CASE__ :      Optional[Any]       		=			True
     SCREAMING_SNAKE_CASE__ :      Any       		=			filter_non_english



     def 						snake_case_			(       self   ):
            super().setUp()

            _lowerCamelCase    	=					[
                '[UNK]',
                '[CLS]',
                '[SEP]',
                '[PAD]',
                '[MASK]',
                'want',
                '##want',
                '##ed',
                'wa',
                'un',
                'runn',
                '##ing',
                ',',
                'low',
                'lowest',
            ]
            _lowerCamelCase    	=					os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['vocab_file']   )
            with open(self.vocab_file					,     'w'					,     encoding='utf-8'   ) as vocab_writer:
                   vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]   )   )



     def 						snake_case_			(       self					,     a__   ):
            _lowerCamelCase    	=					'UNwant\u00E9d,running'
            _lowerCamelCase    	=					'unwanted, running'
            return input_text, output_text



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					self.tokenizer_class(self.vocab_file   )

            _lowerCamelCase    	=					tokenizer.tokenize('UNwant\u00E9d,running'   )
            self.assertListEqual(a__					,     ['un', '##want', '##ed', ',', 'runn', '##ing']   )
            self.assertListEqual(tokenizer.convert_tokens_to_ids(a__   )					,     [9, 6, 7, 12, 10, 11]   )



     def 						snake_case_			(       self   ):
            if not self.test_rust_tokenizer:
                   return

            _lowerCamelCase    	=					self.get_tokenizer()
            _lowerCamelCase    	=					self.get_rust_tokenizer()

            _lowerCamelCase    	=					'UNwant\u00E9d,running'

            _lowerCamelCase    	=					tokenizer.tokenize(a__   )
            _lowerCamelCase    	=					rust_tokenizer.tokenize(a__   )
            self.assertListEqual(a__					,     a__   )

            _lowerCamelCase    	=					tokenizer.encode(a__					,     add_special_tokens=a__   )
            _lowerCamelCase    	=					rust_tokenizer.encode(a__					,     add_special_tokens=a__   )
            self.assertListEqual(a__					,     a__   )

            _lowerCamelCase    	=					self.get_rust_tokenizer()
            _lowerCamelCase    	=					tokenizer.encode(a__   )
            _lowerCamelCase    	=					rust_tokenizer.encode(a__   )
            self.assertListEqual(a__					,     a__   )

            # With lower casing
            _lowerCamelCase    	=					self.get_tokenizer(do_lower_case=a__   )
            _lowerCamelCase    	=					self.get_rust_tokenizer(do_lower_case=a__   )

            _lowerCamelCase    	=					'UNwant\u00E9d,running'

            _lowerCamelCase    	=					tokenizer.tokenize(a__   )
            _lowerCamelCase    	=					rust_tokenizer.tokenize(a__   )
            self.assertListEqual(a__					,     a__   )

            _lowerCamelCase    	=					tokenizer.encode(a__					,     add_special_tokens=a__   )
            _lowerCamelCase    	=					rust_tokenizer.encode(a__					,     add_special_tokens=a__   )
            self.assertListEqual(a__					,     a__   )

            _lowerCamelCase    	=					self.get_rust_tokenizer()
            _lowerCamelCase    	=					tokenizer.encode(a__   )
            _lowerCamelCase    	=					rust_tokenizer.encode(a__   )
            self.assertListEqual(a__					,     a__   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer()

            self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'   )					,     ['ah', '\u535A', '\u63A8', 'zz']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '   )					,     ['hello', '!', 'how', 'are', 'you', '?']   )
            self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )					,     ['hello']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__					,     strip_accents=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )					,     ['hällo', '!', 'how', 'are', 'you', '?']   )
            self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )					,     ['h\u00E9llo']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__					,     strip_accents=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )					,     ['hallo', '!', 'how', 'are', 'you', '?']   )
            self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )					,     ['hello']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )					,     ['hallo', '!', 'how', 'are', 'you', '?']   )
            self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )					,     ['hello']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '   )					,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__					,     strip_accents=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )					,     ['HäLLo', '!', 'how', 'Are', 'yoU', '?']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__					,     strip_accents=a__   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )					,     ['HaLLo', '!', 'how', 'Are', 'yoU', '?']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					BasicTokenizer(do_lower_case=a__					,     never_split=['[UNK]']   )

            self.assertListEqual(
                tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'   )					,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

            _lowerCamelCase    	=					{}
            for i, token in enumerate(a__   ):
                   _lowerCamelCase    	=					i
            _lowerCamelCase    	=					WordpieceTokenizer(vocab=a__					,     unk_token='[UNK]'   )

            self.assertListEqual(tokenizer.tokenize(''   )					,     []   )

            self.assertListEqual(tokenizer.tokenize('unwanted running'   )					,     ['un', '##want', '##ed', 'runn', '##ing']   )

            self.assertListEqual(tokenizer.tokenize('unwantedX running'   )					,     ['[UNK]', 'runn', '##ing']   )



     def 						snake_case_			(       self   ):
            self.assertTrue(_is_whitespace(' '   )   )
            self.assertTrue(_is_whitespace('\t'   )   )
            self.assertTrue(_is_whitespace('\r'   )   )
            self.assertTrue(_is_whitespace('\n'   )   )
            self.assertTrue(_is_whitespace('\u00A0'   )   )

            self.assertFalse(_is_whitespace('A'   )   )
            self.assertFalse(_is_whitespace('-'   )   )



     def 						snake_case_			(       self   ):
            self.assertTrue(_is_control('\u0005'   )   )

            self.assertFalse(_is_control('A'   )   )
            self.assertFalse(_is_control(' '   )   )
            self.assertFalse(_is_control('\t'   )   )
            self.assertFalse(_is_control('\r'   )   )



     def 						snake_case_			(       self   ):
            self.assertTrue(_is_punctuation('-'   )   )
            self.assertTrue(_is_punctuation('$'   )   )
            self.assertTrue(_is_punctuation('`'   )   )
            self.assertTrue(_is_punctuation('.'   )   )

            self.assertFalse(_is_punctuation('A'   )   )
            self.assertFalse(_is_punctuation(' '   )   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					self.get_tokenizer()
            _lowerCamelCase    	=					self.get_rust_tokenizer()

            # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
            self.assertListEqual([tokenizer.tokenize(a__   ) for t in ['Test', '\xad', 'test']]					,     [['[UNK]'], [], ['[UNK]']]   )

            self.assertListEqual(
                [rust_tokenizer.tokenize(a__   ) for t in ['Test', '\xad', 'test']]					,     [['[UNK]'], [], ['[UNK]']]   )



     @slow
     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					self.tokenizer_class.from_pretrained('google/electra-base-discriminator'   )

            _lowerCamelCase    	=					tokenizer.encode('sequence builders'					,     add_special_tokens=a__   )
            _lowerCamelCase    	=					tokenizer.encode('multi-sequence build'					,     add_special_tokens=a__   )

            _lowerCamelCase    	=					tokenizer.build_inputs_with_special_tokens(a__   )
            _lowerCamelCase    	=					tokenizer.build_inputs_with_special_tokens(a__					,     a__   )

            assert encoded_sentence == [1_01] + text + [1_02]
            assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]



     def 						snake_case_			(       self   ):
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCamelCase    	=					self.rust_tokenizer_class.from_pretrained(a__					,     **a__   )

                          _lowerCamelCase    	=					F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                          _lowerCamelCase    	=					tokenizer_r.encode_plus(
                              a__					,     return_attention_mask=a__					,     return_token_type_ids=a__					,     return_offsets_mapping=a__					,     add_special_tokens=a__					,     )

                          _lowerCamelCase    	=					tokenizer_r.do_lower_case if hasattr(a__					,     'do_lower_case'   ) else False
                          _lowerCamelCase    	=					(
                              [
                                  ((0, 0), tokenizer_r.cls_token),
                                  ((0, 1), 'A'),
                                  ((1, 2), ','),
                                  ((3, 5), 'na'),
                                  ((5, 6), '##ï'),
                                  ((6, 8), '##ve'),
                                  ((9, 15), tokenizer_r.mask_token),
                                  ((16, 21), 'Allen'),
                                  ((21, 23), '##NL'),
                                  ((23, 24), '##P'),
                                  ((25, 33), 'sentence'),
                                  ((33, 34), '.'),
                                  ((0, 0), tokenizer_r.sep_token),
                              ]
                              if not do_lower_case
                              else [
                                  ((0, 0), tokenizer_r.cls_token),
                                  ((0, 1), 'a'),
                                  ((1, 2), ','),
                                  ((3, 8), 'naive'),
                                  ((9, 15), tokenizer_r.mask_token),
                                  ((16, 21), 'allen'),
                                  ((21, 23), '##nl'),
                                  ((23, 24), '##p'),
                                  ((25, 33), 'sentence'),
                                  ((33, 34), '.'),
                                  ((0, 0), tokenizer_r.sep_token),
                              ]
                          )

                          self.assertEqual(
                              [e[1] for e in expected_results]					,     tokenizer_r.convert_ids_to_tokens(tokens['input_ids']   )   )
                          self.assertEqual([e[0] for e in expected_results]					,     tokens['offset_mapping']   )



     def 						snake_case_			(       self   ):
            _lowerCamelCase    	=					['的', '人', '有']
            _lowerCamelCase    	=					''.join(a__   )
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCamelCase    	=					True
                          _lowerCamelCase    	=					self.tokenizer_class.from_pretrained(a__					,     **a__   )
                          _lowerCamelCase    	=					self.rust_tokenizer_class.from_pretrained(a__					,     **a__   )

                          _lowerCamelCase    	=					tokenizer_p.encode(a__					,     add_special_tokens=a__   )
                          _lowerCamelCase    	=					tokenizer_r.encode(a__					,     add_special_tokens=a__   )

                          _lowerCamelCase    	=					tokenizer_r.convert_ids_to_tokens(a__   )
                          _lowerCamelCase    	=					tokenizer_p.convert_ids_to_tokens(a__   )

                          # it is expected that each Chinese character is not preceded by "##"
                          self.assertListEqual(a__					,     a__   )
                          self.assertListEqual(a__					,     a__   )

                          _lowerCamelCase    	=					False
                          _lowerCamelCase    	=					self.rust_tokenizer_class.from_pretrained(a__					,     **a__   )
                          _lowerCamelCase    	=					self.tokenizer_class.from_pretrained(a__					,     **a__   )

                          _lowerCamelCase    	=					tokenizer_r.encode(a__					,     add_special_tokens=a__   )
                          _lowerCamelCase    	=					tokenizer_p.encode(a__					,     add_special_tokens=a__   )

                          _lowerCamelCase    	=					tokenizer_r.convert_ids_to_tokens(a__   )
                          _lowerCamelCase    	=					tokenizer_p.convert_ids_to_tokens(a__   )

                          # it is expected that only the first Chinese character is not preceded by "##".
                          _lowerCamelCase    	=					[
                              F'##{token}' if idx != 0 else token for idx, token in enumerate(a__   )
                          ]
                          self.assertListEqual(a__					,     a__   )
                          self.assertListEqual(a__					,     a__   )













"""simple docstring"""


import cva
import numpy as np

from digital_image_processing.filters.convolve import img_convolve
from digital_image_processing.filters.sobel_filter import sobel_filter

A_     :      Any								=1_8_0





def SCREAMING_SNAKE_CASE_   (       snake_case   :					Dict						,  snake_case   :					Any		)->		Tuple:
       _lowerCamelCase    	=					k_size // 2
       _lowerCamelCase	,	_lowerCamelCase    	=					np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
       _lowerCamelCase    	=					(
           1
           / (2 * np.pi * sigma)
           * np.exp(-(np.square(snake_case		) + np.square(snake_case		)) / (2 * np.square(snake_case		))		)
       )
       return g





def SCREAMING_SNAKE_CASE_   (       snake_case   :					Optional[int]						,  snake_case   :					int						,  snake_case   :					Dict		)->		Optional[Any]:
       _lowerCamelCase    	=					np.zeros(snake_case		)

       for row in range(1						,  image_shape[0] - 1		):
              for col in range(1						,  image_shape[1] - 1		):
                     _lowerCamelCase    	=					gradient_direction[row, col]

                     if (
                         0 <= direction < PI / 8
                         or 15 * PI / 8 <= direction <= 2 * PI
                         or 7 * PI / 8 <= direction <= 9 * PI / 8
                     ):
                            _lowerCamelCase    	=					sobel_grad[row, col - 1]
                            _lowerCamelCase    	=					sobel_grad[row, col + 1]
                            if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
                                   _lowerCamelCase    	=					sobel_grad[row, col]

                     elif (
                         PI / 8 <= direction < 3 * PI / 8
                         or 9 * PI / 8 <= direction < 11 * PI / 8
                     ):
                            _lowerCamelCase    	=					sobel_grad[row + 1, col - 1]
                            _lowerCamelCase    	=					sobel_grad[row - 1, col + 1]
                            if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
                                   _lowerCamelCase    	=					sobel_grad[row, col]

                     elif (
                         3 * PI / 8 <= direction < 5 * PI / 8
                         or 11 * PI / 8 <= direction < 13 * PI / 8
                     ):
                            _lowerCamelCase    	=					sobel_grad[row - 1, col]
                            _lowerCamelCase    	=					sobel_grad[row + 1, col]
                            if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
                                   _lowerCamelCase    	=					sobel_grad[row, col]

                     elif (
                         5 * PI / 8 <= direction < 7 * PI / 8
                         or 13 * PI / 8 <= direction < 15 * PI / 8
                     ):
                            _lowerCamelCase    	=					sobel_grad[row - 1, col - 1]
                            _lowerCamelCase    	=					sobel_grad[row + 1, col + 1]
                            if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
                                   _lowerCamelCase    	=					sobel_grad[row, col]

       return destination





def SCREAMING_SNAKE_CASE_   (       snake_case   :					List[Any]						,  snake_case   :					List[Any]						,  snake_case   :					int						,  snake_case   :					int						,  snake_case   :					List[str]						,  snake_case   :					str		)->		Tuple:
       for row in range(1						,  image_shape[0] - 1		):
              for col in range(1						,  image_shape[1] - 1		):
                     if destination[row, col] >= threshold_high:
                            _lowerCamelCase    	=					strong
                     elif destination[row, col] <= threshold_low:
                            _lowerCamelCase    	=					0
                     else:
                            _lowerCamelCase    	=					weak





def SCREAMING_SNAKE_CASE_   (       snake_case   :					Union[str, Any]						,  snake_case   :					Optional[int]						,  snake_case   :					Dict						,  snake_case   :					Tuple		)->		Optional[int]:
       for row in range(1						,  image_shape[0]		):
              for col in range(1						,  image_shape[1]		):
                     if destination[row, col] == weak:
                            if 255 in (
                                destination[row, col + 1],
                                destination[row, col - 1],
                                destination[row - 1, col],
                                destination[row + 1, col],
                                destination[row - 1, col - 1],
                                destination[row + 1, col - 1],
                                destination[row - 1, col + 1],
                                destination[row + 1, col + 1],
                            ):
                                   _lowerCamelCase    	=					strong
                            else:
                                   _lowerCamelCase    	=					0





def SCREAMING_SNAKE_CASE_   (       snake_case   :					Dict						,  snake_case   :					Union[str, Any]=15						,  snake_case   :					Optional[int]=30						,  snake_case   :					int=128						,  snake_case   :					str=255		)->		List[Any]:
       # gaussian_filter
       _lowerCamelCase    	=					img_convolve(snake_case						,  gen_gaussian_kernel(9						,  sigma=1.4		)		)
       # get the gradient and degree by sobel_filter
       _lowerCamelCase	,	_lowerCamelCase    	=					sobel_filter(snake_case		)
       _lowerCamelCase    	=					PI + np.radadeg(snake_case		)

       _lowerCamelCase    	=					suppress_non_maximum(image.shape						,  snake_case						,  snake_case		)

       detect_high_low_threshold(
           image.shape						,  snake_case						,  snake_case						,  snake_case						,  snake_case						,  snake_case		)

       track_edge(image.shape						,  snake_case						,  snake_case						,  snake_case		)

       return destination


if __name__ == "__main__":
      # read original image in gray mode
      A_     :      Optional[Any]								=cva.imread(R"""../image_data/lena.jpg""", 0)
      # canny edge detection
      A_     :      Optional[Any]								=canny(lena)
      cva.imshow("""canny""", canny_destination)
      cva.waitKey(0)






