



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 						UpperCAmelCase_					( a     ,      unittest.TestCase):
							lowerCamelCase__         =	BertTokenizer
							lowerCamelCase__         =	BertTokenizerFast
							lowerCamelCase__         =	True
							lowerCamelCase__         =	True
							lowerCamelCase__         =	filter_non_english







							def      snake_case__   (     self):

														'''simple docstring'''

														super().setUp()

														_lowerCAmelCase  :							Tuple				     =					[
														    "[UNK]",
														    "[CLS]",
														    "[SEP]",
														    "[PAD]",
														    "[MASK]",
														    "want",
														    "##want",
														    "##ed",
														    "wa",
														    "un",
														    "runn",
														    "##ing",
														    ",",
														    "low",
														    "lowest",
														]
														_lowerCAmelCase  :							Dict				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					"UNwant\u00E9d,running"
														_lowerCAmelCase  :							Dict				     =					"unwanted, running"
														return input_text, output_text







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[Any]				     =					self.tokenizer_class(self.vocab_file)

														_lowerCAmelCase  :							Union[str, Any]				     =					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):

														'''simple docstring'''

														if not self.test_rust_tokenizer:
																					return

														_lowerCAmelCase  :							List[str]				     =					self.get_tokenizer()
														_lowerCAmelCase  :							Tuple				     =					self.get_rust_tokenizer()

														_lowerCAmelCase  :							Optional[int]				     =					"UNwant\u00E9d,running"

														_lowerCAmelCase  :							List[str]				     =					tokenizer.tokenize(__a)
														_lowerCAmelCase  :							Dict				     =					rust_tokenizer.tokenize(__a)
														self.assertListEqual(__a,    __a)

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

														_lowerCAmelCase  :							Optional[Any]				     =					self.get_rust_tokenizer()
														_lowerCAmelCase  :							Optional[int]				     =					tokenizer.encode(__a)
														_lowerCAmelCase  :							Any				     =					rust_tokenizer.encode(__a)
														self.assertListEqual(__a,    __a)

														# With lower casing
														_lowerCAmelCase  :							Optional[Any]				     =					self.get_tokenizer(do_lower_case=__a)
														_lowerCAmelCase  :							Dict				     =					self.get_rust_tokenizer(do_lower_case=__a)

														_lowerCAmelCase  :							Union[str, Any]				     =					"UNwant\u00E9d,running"

														_lowerCAmelCase  :							Optional[Any]				     =					tokenizer.tokenize(__a)
														_lowerCAmelCase  :							List[str]				     =					rust_tokenizer.tokenize(__a)
														self.assertListEqual(__a,    __a)

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

														_lowerCAmelCase  :							List[Any]				     =					self.get_rust_tokenizer()
														_lowerCAmelCase  :							List[Any]				     =					tokenizer.encode(__a)
														_lowerCAmelCase  :							Dict				     =					rust_tokenizer.encode(__a)
														self.assertListEqual(__a,    __a)







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Union[str, Any]				     =					BasicTokenizer()

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







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							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      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Optional[int]				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							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      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							Tuple				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							int				     =					BasicTokenizer(do_lower_case=__a)

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







							def      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							List[str]				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							List[str]				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							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      snake_case__   (     self):

														'''simple docstring'''

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







							def      snake_case__   (     self):

														'''simple docstring'''

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

														_lowerCAmelCase  :							int				     =					{}
														for i, token in enumerate(__a):
																					_lowerCAmelCase  :							Dict				     =					i
														_lowerCAmelCase  :							Tuple				     =					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):

														'''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      snake_case__   (     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      snake_case__   (     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      snake_case__   (     self):

														'''simple docstring'''

														_lowerCAmelCase  :							str				     =					self.get_tokenizer()
														_lowerCAmelCase  :							List[str]				     =					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):

														'''simple docstring'''

														_lowerCAmelCase  :							Tuple				     =					self.tokenizer_class.from_pretrained("bert-base-uncased")

														_lowerCAmelCase  :							str				     =					tokenizer.encode("sequence builders",    add_special_tokens=__a)
														_lowerCAmelCase  :							List[str]				     =					tokenizer.encode("multi-sequence build",    add_special_tokens=__a)

														_lowerCAmelCase  :							List[str]				     =					tokenizer.build_inputs_with_special_tokens(__a)
														_lowerCAmelCase  :							Any				     =					tokenizer.build_inputs_with_special_tokens(__a,    __a)

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







							def      snake_case__   (     self):

														'''simple docstring'''

														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
																												_lowerCAmelCase  :							Any				     =					self.rust_tokenizer_class.from_pretrained(__a,    **__a)

																												_lowerCAmelCase  :							str				     =					f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
																												_lowerCAmelCase  :							Any				     =					tokenizer_r.encode_plus(
																												    __a,    return_attention_mask=__a,    return_token_type_ids=__a,    return_offsets_mapping=__a,    add_special_tokens=__a,    )

																												_lowerCAmelCase  :							Optional[int]				     =					tokenizer_r.do_lower_case if hasattr(__a,    "do_lower_case") else False
																												_lowerCAmelCase  :							str				     =					(
																												    [
																												        ((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):

														'''simple docstring'''

														_lowerCAmelCase  :							List[str]				     =					["的", "人", "有"]
														_lowerCAmelCase  :							Optional[int]				     =					"".join(__a)
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"):
																												_lowerCAmelCase  :							Tuple				     =					True
																												_lowerCAmelCase  :							List[str]				     =					self.tokenizer_class.from_pretrained(__a,    **__a)
																												_lowerCAmelCase  :							List[str]				     =					self.rust_tokenizer_class.from_pretrained(__a,    **__a)

																												_lowerCAmelCase  :							List[Any]				     =					tokenizer_p.encode(__a,    add_special_tokens=__a)
																												_lowerCAmelCase  :							List[Any]				     =					tokenizer_r.encode(__a,    add_special_tokens=__a)

																												_lowerCAmelCase  :							Optional[Any]				     =					tokenizer_r.convert_ids_to_tokens(__a)
																												_lowerCAmelCase  :							int				     =					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  :							Union[str, Any]				     =					False
																												_lowerCAmelCase  :							Optional[Any]				     =					self.rust_tokenizer_class.from_pretrained(__a,    **__a)
																												_lowerCAmelCase  :							List[Any]				     =					self.tokenizer_class.from_pretrained(__a,    **__a)

																												_lowerCAmelCase  :							Optional[int]				     =					tokenizer_r.encode(__a,    add_special_tokens=__a)
																												_lowerCAmelCase  :							Any				     =					tokenizer_p.encode(__a,    add_special_tokens=__a)

																												_lowerCAmelCase  :							str				     =					tokenizer_r.convert_ids_to_tokens(__a)
																												_lowerCAmelCase  :							Dict				     =					tokenizer_p.convert_ids_to_tokens(__a)

																												# it is expected that only the first Chinese character is not preceded by "##".
																												_lowerCAmelCase  :							Any				     =					[
																												    f"##{token}" if idx != 0 else token for idx, token in enumerate(__a)
																												]
																												self.assertListEqual(__a,    __a)
																												self.assertListEqual(__a,    __a)





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey






def        A       (      _lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




							if (ksize % 2) == 0:
														_lowerCAmelCase  :							str				     =					ksize + 1
							_lowerCAmelCase  :							List[str]				     =					np.zeros((ksize, ksize)       ,				dtype=np.floataa						)

							# each value
							for y in range(_lowerCamelCase						):
														for x in range(_lowerCamelCase						):
																					# distance from center
																					_lowerCAmelCase  :							int				     =					x - ksize // 2
																					_lowerCAmelCase  :							Dict				     =					y - ksize // 2

																					# degree to radiant
																					_lowerCAmelCase  :							List[Any]				     =					theta / 180 * np.pi
																					_lowerCAmelCase  :							int				     =					np.cos(_theta						)
																					_lowerCAmelCase  :							Optional[int]				     =					np.sin(_theta						)

																					# get kernel x
																					_lowerCAmelCase  :							int				     =					cos_theta * px + sin_theta * py

																					# get kernel y
																					_lowerCAmelCase  :							str				     =					-sin_theta * px + cos_theta * py

																					# fill kernel
																					_lowerCAmelCase  :							Union[str, Any]				     =					np.exp(
																					    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)						) * np.cos(2 * np.pi * _x / lambd + psi						)

							return gabor


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						# read original image
						_snake_case	=						imread("../image_data/lena.jpg")
						# turn image in gray scale value
						_snake_case	=						cvtColor(img, COLOR_BGR2GRAY)

						# Apply multiple Kernel to detect edges
						_snake_case	=						np.zeros(gray.shape[:2])
						for theta in [0, 30, 60, 90, 120, 150]:
												_snake_case	=						gabor_filter_kernel(10, 8, theta, 10, 0, 0)
												out += filteraD(gray, CV_8UC3, kernel_aa)
						_snake_case	=						out / out.max() * 255
						_snake_case	=						out.astype(np.uinta)

						imshow("Original", gray)
						imshow("Gabor filter with 20x20 mask and 6 directions", out)

						waitKey(0)
