





import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    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__       (	__snake_case	,       unittest.TestCase      ):
      _UpperCAmelCase     :Any						   =       BertTokenizer
      _UpperCAmelCase     :Optional[Any]						   =       BertTokenizerFast
      _UpperCAmelCase     :Tuple						   =       True
      _UpperCAmelCase     :str						   =       True
      _UpperCAmelCase     :Optional[int]						   =       filter_non_english





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       super().setUp()

       UpperCamelCase     : Union[str, Any]	     =       [
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "[PAD]",
           "[MASK]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       UpperCamelCase     : Any	     =       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 	__UpperCamelCase(			self	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : str	     =       "UNwant\u00E9d,running"
       UpperCamelCase     : str	     =       "unwanted, running"
       return input_text, output_text





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       self.tokenizer_class(self.vocab_file       )

       UpperCamelCase     : Dict	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       if not self.test_rust_tokenizer:
        return

       UpperCamelCase     : Optional[Any]	     =       self.get_tokenizer()
       UpperCamelCase     : Optional[int]	     =       self.get_rust_tokenizer()

       UpperCamelCase     : List[str]	     =       "UNwant\u00E9d,running"

       UpperCamelCase     : List[Any]	     =       tokenizer.tokenize(A_       )
       UpperCamelCase     : Tuple	     =       rust_tokenizer.tokenize(A_       )
       self.assertListEqual(A_	,							A_       )

       UpperCamelCase     : List[str]	     =       tokenizer.encode(A_	,							add_special_tokens=A_       )
       UpperCamelCase     : str	     =       rust_tokenizer.encode(A_	,							add_special_tokens=A_       )
       self.assertListEqual(A_	,							A_       )

       UpperCamelCase     : str	     =       self.get_rust_tokenizer()
       UpperCamelCase     : List[str]	     =       tokenizer.encode(A_       )
       UpperCamelCase     : Tuple	     =       rust_tokenizer.encode(A_       )
       self.assertListEqual(A_	,							A_       )

       # With lower casing
       UpperCamelCase     : Dict	     =       self.get_tokenizer(do_lower_case=A_       )
       UpperCamelCase     : Any	     =       self.get_rust_tokenizer(do_lower_case=A_       )

       UpperCamelCase     : Any	     =       "UNwant\u00E9d,running"

       UpperCamelCase     : Optional[Any]	     =       tokenizer.tokenize(A_       )
       UpperCamelCase     : str	     =       rust_tokenizer.tokenize(A_       )
       self.assertListEqual(A_	,							A_       )

       UpperCamelCase     : Tuple	     =       tokenizer.encode(A_	,							add_special_tokens=A_       )
       UpperCamelCase     : Optional[Any]	     =       rust_tokenizer.encode(A_	,							add_special_tokens=A_       )
       self.assertListEqual(A_	,							A_       )

       UpperCamelCase     : Dict	     =       self.get_rust_tokenizer()
       UpperCamelCase     : List[str]	     =       tokenizer.encode(A_       )
       UpperCamelCase     : Tuple	     =       rust_tokenizer.encode(A_       )
       self.assertListEqual(A_	,							A_       )





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Optional[int]	     =       BasicTokenizer()

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Optional[int]	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Optional[int]	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : List[str]	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : str	     =       BasicTokenizer(do_lower_case=A_       )

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Tuple	     =       BasicTokenizer(do_lower_case=A_	,							strip_accents=A_       )

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Optional[int]	     =       BasicTokenizer(do_lower_case=A_	,							strip_accents=A_       )

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : List[str]	     =       BasicTokenizer(do_lower_case=A_	,							never_split=["[UNK]"]       )

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





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Union[str, Any]	     =       BasicTokenizer()
       UpperCamelCase     : List[Any]	     =       "a\n'll !!to?'d of, can't."
       UpperCamelCase     : Optional[Any]	     =       ["a", "'", "ll", "!", "!", "to", "?", "'", "d", "of", ",", "can", "'", "t", "."]
       self.assertListEqual(tokenizer.tokenize(A_       )	,							A_       )





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : str	     =       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

       UpperCamelCase     : Dict	     =       {}
       for i, token in enumerate(A_       ):
        UpperCamelCase     : List[Any]	     =       i
       UpperCamelCase     : List[Any]	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : Tuple	     =       self.get_tokenizer()
       UpperCamelCase     : Dict	     =       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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : List[Any]	     =       self.tokenizer_class.from_pretrained("bert-base-uncased"       )

       UpperCamelCase     : Optional[int]	     =       tokenizer.encode("sequence builders"	,							add_special_tokens=A_       )
       UpperCamelCase     : Optional[Any]	     =       tokenizer.encode("multi-sequence build"	,							add_special_tokens=A_       )

       UpperCamelCase     : Tuple	     =       tokenizer.build_inputs_with_special_tokens(A_       )
       UpperCamelCase     : str	     =       tokenizer.build_inputs_with_special_tokens(A_	,							A_       )

       assert encoded_sentence == [101] + text + [102]
       assert encoded_pair == [101] + text + [102] + text_a + [102]





      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""       ):
         UpperCamelCase     : Optional[int]	     =       self.rust_tokenizer_class.from_pretrained(A_	,							**A_       )

         UpperCamelCase     : Any	     =       F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
         UpperCamelCase     : int	     =       tokenizer_r.encode_plus(
             A_	,							return_attention_mask=A_	,							return_token_type_ids=A_	,							return_offsets_mapping=A_	,							add_special_tokens=A_	,							)

         UpperCamelCase     : str	     =       tokenizer_r.do_lower_case if hasattr(A_	,							"do_lower_case"       ) else False
         UpperCamelCase     : Optional[int]	     =       (
             [
                 ((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 	__UpperCamelCase(			self       ):
       '''simple docstring'''




       UpperCamelCase     : List[str]	     =       ["的", "人", "有"]
       UpperCamelCase     : str	     =       "".join(A_       )
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""       ):
         UpperCamelCase     : str	     =       True
         UpperCamelCase     : List[str]	     =       self.tokenizer_class.from_pretrained(A_	,							**A_       )
         UpperCamelCase     : Any	     =       self.rust_tokenizer_class.from_pretrained(A_	,							**A_       )

         UpperCamelCase     : int	     =       tokenizer_p.encode(A_	,							add_special_tokens=A_       )
         UpperCamelCase     : Dict	     =       tokenizer_r.encode(A_	,							add_special_tokens=A_       )

         UpperCamelCase     : str	     =       tokenizer_r.convert_ids_to_tokens(A_       )
         UpperCamelCase     : Tuple	     =       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_       )

         UpperCamelCase     : Optional[Any]	     =       False
         UpperCamelCase     : str	     =       self.rust_tokenizer_class.from_pretrained(A_	,							**A_       )
         UpperCamelCase     : Union[str, Any]	     =       self.tokenizer_class.from_pretrained(A_	,							**A_       )

         UpperCamelCase     : int	     =       tokenizer_r.encode(A_	,							add_special_tokens=A_       )
         UpperCamelCase     : Tuple	     =       tokenizer_p.encode(A_	,							add_special_tokens=A_       )

         UpperCamelCase     : str	     =       tokenizer_r.convert_ids_to_tokens(A_       )
         UpperCamelCase     : List[str]	     =       tokenizer_p.convert_ids_to_tokens(A_       )

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







from pathlib import Path

import numpy as np
from PIL import Image



def 		A_    (					_lowerCAmelCase					)						->			np.ndarray:
 UpperCamelCase     ,   UpperCamelCase     ,   UpperCamelCase     : Optional[Any]	     =       rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
 return 0.2_989 * r + 0.5_870 * g + 0.1_140 * b



def 		A_    (					_lowerCAmelCase					)						->			np.ndarray:
 return (gray > 127) & (gray <= 255)



def 		A_    (					_lowerCAmelCase							,       _lowerCAmelCase					)						->			np.ndarray:
 UpperCamelCase     : Dict	     =       np.zeros_like(_lowerCAmelCase					)
 UpperCamelCase     : List[str]	     =       np.zeros(
     (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)					)

 # Copy image to padded image
 UpperCamelCase     : Tuple	     =       image

 # Iterate over image & apply kernel
 for x in range(image.shape[1]					):
  for y in range(image.shape[0]					):
   UpperCamelCase     : List[str]	     =       (
       kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
   ).sum()
   UpperCamelCase     : int	     =       int(summation > 0					)
 return output


if __name__ == "__main__":
    # read original image
    __lowerCamelCase	:					int			  =					Path(__file__).resolve().parent / """image_data""" / """lena.jpg"""
    __lowerCamelCase	:					Tuple			  =					np.array(Image.open(lena_path))
    # kernel to be applied
    __lowerCamelCase	:					Optional[Any]			  =					np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
    __lowerCamelCase	:					Union[str, Any]			  =					dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
    # Save the output image
    __lowerCamelCase	:					Any			  =					Image.fromarray(output).convert("""RGB""")
    pil_img.save("""result_dilation.png""")
