

"""simple docstring"""




import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_a:      Any								=     logging.get_logger(__name__)

_a:      Dict								=     {
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

_a:      Optional[int]								=     {
    '''src_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json'''
    },
    '''tgt_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json'''
    },
    '''merges_file''': {'''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt'''},
}

_a:      Dict								=     {'''stas/tiny-wmt19-en-de''': 1024}
_a:      str								=     {
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1024,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}



def  __lowerCAmelCase (  A      ):
	UpperCAmelCase_    			=     set()
	UpperCAmelCase_    			=     word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)      )
		UpperCAmelCase_    			=     char
	return pairs



def  __lowerCAmelCase (  A      ):
	UpperCAmelCase_    			=     text.replace("，"    ,       ","      )
	UpperCAmelCase_    			=     re.sub(r"。\s*"    ,       ". "    ,       A      )
	UpperCAmelCase_    			=     text.replace("、"    ,       ","      )
	UpperCAmelCase_    			=     text.replace("”"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("“"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("∶"    ,       ":"      )
	UpperCAmelCase_    			=     text.replace("："    ,       ":"      )
	UpperCAmelCase_    			=     text.replace("？"    ,       "?"      )
	UpperCAmelCase_    			=     text.replace("《"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("》"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("）"    ,       ")"      )
	UpperCAmelCase_    			=     text.replace("！"    ,       "!"      )
	UpperCAmelCase_    			=     text.replace("（"    ,       "("      )
	UpperCAmelCase_    			=     text.replace("；"    ,       ";"      )
	UpperCAmelCase_    			=     text.replace("１"    ,       "1"      )
	UpperCAmelCase_    			=     text.replace("」"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("「"    ,       "\""      )
	UpperCAmelCase_    			=     text.replace("０"    ,       "0"      )
	UpperCAmelCase_    			=     text.replace("３"    ,       "3"      )
	UpperCAmelCase_    			=     text.replace("２"    ,       "2"      )
	UpperCAmelCase_    			=     text.replace("５"    ,       "5"      )
	UpperCAmelCase_    			=     text.replace("６"    ,       "6"      )
	UpperCAmelCase_    			=     text.replace("９"    ,       "9"      )
	UpperCAmelCase_    			=     text.replace("７"    ,       "7"      )
	UpperCAmelCase_    			=     text.replace("８"    ,       "8"      )
	UpperCAmelCase_    			=     text.replace("４"    ,       "4"      )
	UpperCAmelCase_    			=     re.sub(r"．\s*"    ,       ". "    ,       A      )
	UpperCAmelCase_    			=     text.replace("～"    ,       "~"      )
	UpperCAmelCase_    			=     text.replace("’"    ,       "'"      )
	UpperCAmelCase_    			=     text.replace("…"    ,       "..."      )
	UpperCAmelCase_    			=     text.replace("━"    ,       "-"      )
	UpperCAmelCase_    			=     text.replace("〈"    ,       "<"      )
	UpperCAmelCase_    			=     text.replace("〉"    ,       ">"      )
	UpperCAmelCase_    			=     text.replace("【"    ,       "["      )
	UpperCAmelCase_    			=     text.replace("】"    ,       "]"      )
	UpperCAmelCase_    			=     text.replace("％"    ,       "%"      )
	return text



def  __lowerCAmelCase (  A      ):
	UpperCAmelCase_    			=     []
	for char in text:
		UpperCAmelCase_    			=     unicodedata.category(A      )
		if cat.startswith("C"      ):
			continue
		output.append(A      )
	return "".join(A      )




class   __UpperCamelCase      (   A__  ):
	SCREAMING_SNAKE_CASE__      			=       VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE__      			=       PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE__      			=       PRETRAINED_INIT_CONFIGURATION
	SCREAMING_SNAKE_CASE__      			=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE__      			=       ['input_ids', 'attention_mask']




	def __init__(						self		:  List[str]						,		lowerCAmelCase		:  Optional[int]=None						,		lowerCAmelCase		:  List[str]=None						,		lowerCAmelCase		:  Any=None						,		lowerCAmelCase		:  Union[str, Any]=None						,		lowerCAmelCase		:  Optional[int]=False						,		lowerCAmelCase		:  Tuple="<unk>"						,		lowerCAmelCase		:  List[Any]="<s>"						,		lowerCAmelCase		:  Any="</s>"						,		lowerCAmelCase		:  Union[str, Any]="<pad>"						,		**lowerCAmelCase		:  int						,		):


		'''simple docstring'''







		super().__init__(
		    langs=_A						,		src_vocab_file=_A						,		tgt_vocab_file=_A						,		merges_file=_A						,		do_lower_case=_A						,		unk_token=_A						,		bos_token=_A						,		sep_token=_A						,		pad_token=_A						,		**_A						,		)

		try:
			import sacremoses
		except ImportError:
			raise ImportError(
			    "You need to install sacremoses to use XLMTokenizer. "
			    "See https://pypi.org/project/sacremoses/ for installation."							)

		UpperCAmelCase_    			=     sacremoses

		UpperCAmelCase_    			=     src_vocab_file
		UpperCAmelCase_    			=     tgt_vocab_file
		UpperCAmelCase_    			=     merges_file
		UpperCAmelCase_    			=     do_lower_case

		# cache of sm.MosesPunctNormalizer instance
		UpperCAmelCase_    			=     {}
		# cache of sm.MosesTokenizer instance
		UpperCAmelCase_    			=     {}
		UpperCAmelCase_    			=     {}

		if langs and len(_A							) == 2:
			UpperCAmelCase_    			=     langs
		else:
			raise ValueError(
			    F"arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. "
			    "Usually that means that tokenizer can't find a mapping for the given model path "
			    "in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."							)

		with open(_A						,		encoding="utf-8"							) as src_vocab_handle:
			UpperCAmelCase_    			=     json.load(_A							)
		with open(_A						,		encoding="utf-8"							) as tgt_vocab_handle:
			UpperCAmelCase_    			=     json.load(_A							)
			UpperCAmelCase_    			=     {v: k for k, v in tgt_vocab.items()}
		with open(_A						,		encoding="utf-8"							) as merges_handle:
			UpperCAmelCase_    			=     merges_handle.read().split("\n"							)[:-1]
		UpperCAmelCase_    			=     [tuple(merge.split()[:2]							) for merge in merges]
		UpperCAmelCase_    			=     dict(zip(_A						,		range(len(_A							)							)							)							)
		UpperCAmelCase_    			=     {}




	def  __A   (						self		:  Optional[int]							):


		'''simple docstring'''







		return self.get_src_vocab()




	@property
	def  __A   (						self		:  List[Any]							):


		'''simple docstring'''







		return self.src_vocab_size




	def  __A   (						self		:  Union[str, Any]						,		lowerCAmelCase		:  str						,		lowerCAmelCase		:  List[Any]							):


		'''simple docstring'''







		if lang not in self.cache_moses_punct_normalizer:
			UpperCAmelCase_    			=     self.sm.MosesPunctNormalizer(lang=_A							)
			UpperCAmelCase_    			=     punct_normalizer
		return self.cache_moses_punct_normalizer[lang].normalize(_A							)




	def  __A   (						self		:  Optional[int]						,		lowerCAmelCase		:  int						,		lowerCAmelCase		:  Any							):


		'''simple docstring'''







		if lang not in self.cache_moses_tokenizer:
			UpperCAmelCase_    			=     self.sm.MosesTokenizer(lang=_A							)
			UpperCAmelCase_    			=     moses_tokenizer
		return self.cache_moses_tokenizer[lang].tokenize(
		    _A						,		aggressive_dash_splits=_A						,		return_str=_A						,		escape=_A							)




	def  __A   (						self		:  List[Any]						,		lowerCAmelCase		:  List[str]						,		lowerCAmelCase		:  List[str]							):


		'''simple docstring'''







		if lang not in self.cache_moses_detokenizer:
			UpperCAmelCase_    			=     self.sm.MosesDetokenizer(lang=_A							)
			UpperCAmelCase_    			=     moses_detokenizer
		return self.cache_moses_detokenizer[lang].detokenize(_A							)




	def  __A   (						self		:  List[Any]						,		lowerCAmelCase		:  List[str]						,		lowerCAmelCase		:  Tuple							):


		'''simple docstring'''







		UpperCAmelCase_    			=     replace_unicode_punct(_A							)
		UpperCAmelCase_    			=     self.moses_punct_norm(_A						,		_A							)
		UpperCAmelCase_    			=     remove_non_printing_char(_A							)
		return text




	@property
	def  __A   (						self		:  Optional[int]							):


		'''simple docstring'''







		return len(self.encoder							)




	@property
	def  __A   (						self		:  Optional[Any]							):


		'''simple docstring'''







		return len(self.decoder							)




	def  __A   (						self		:  Dict							):


		'''simple docstring'''







		return dict(self.encoder						,		**self.added_tokens_encoder							)




	def  __A   (						self		:  Any							):


		'''simple docstring'''







		return dict(self.decoder						,		**self.added_tokens_decoder							)




	def  __A   (						self		:  Optional[Any]						,		lowerCAmelCase		:  int							):


		'''simple docstring'''







		UpperCAmelCase_    			=     tuple(token[:-1]							) + (token[-1] + "</w>",)
		if token in self.cache:
			return self.cache[token]
		UpperCAmelCase_    			=     get_pairs(_A							)

		if not pairs:
			return token + "</w>"

		while True:
			UpperCAmelCase_    			=     min(_A						,		key=lambda lowerCAmelCase							: self.bpe_ranks.get(_A						,		float("inf"							)							)							)
			if bigram not in self.bpe_ranks:
				break
			UpperCAmelCase_    			=     bigram
			UpperCAmelCase_    			=     []
			UpperCAmelCase_    			=     0
			while i < len(_A							):
				try:
					UpperCAmelCase_    			=     word.index(_A						,		_A							)
				except ValueError:
					new_word.extend(word[i:]							)
					break
				else:
					new_word.extend(word[i:j]							)
					UpperCAmelCase_    			=     j

				if word[i] == first and i < len(_A							) - 1 and word[i + 1] == second:
					new_word.append(first + second							)
					i += 2
				else:
					new_word.append(word[i]							)
					i += 1
			UpperCAmelCase_    			=     tuple(_A							)
			UpperCAmelCase_    			=     new_word
			if len(_A							) == 1:
				break
			else:
				UpperCAmelCase_    			=     get_pairs(_A							)
		UpperCAmelCase_    			=     " ".join(_A							)
		if word == "\n  </w>":
			UpperCAmelCase_    			=     "\n</w>"
		UpperCAmelCase_    			=     word
		return word




	def  __A   (						self		:  List[Any]						,		lowerCAmelCase		:  List[Any]						,		lowerCAmelCase		:  str="en"						,		lowerCAmelCase		:  Optional[int]=False							):


		'''simple docstring'''







		UpperCAmelCase_    			=     self.src_lang

		if self.do_lower_case:
			UpperCAmelCase_    			=     text.lower()

		if bypass_tokenizer:
			UpperCAmelCase_    			=     text.split()
		else:
			UpperCAmelCase_    			=     self.moses_pipeline(_A						,		lang=_A							)
			UpperCAmelCase_    			=     self.moses_tokenize(_A						,		lang=_A							)

		UpperCAmelCase_    			=     []
		for token in text:
			if token:
				split_tokens.extend(list(self.bpe(_A							).split(" "							)							)							)

		return split_tokens




	def  __A   (						self		:  Dict						,		lowerCAmelCase		:  Dict							):


		'''simple docstring'''







		return self.encoder.get(_A						,		self.encoder.get(self.unk_token							)							)




	def  __A   (						self		:  Union[str, Any]						,		lowerCAmelCase		:  Optional[int]							):


		'''simple docstring'''







		return self.decoder.get(_A						,		self.unk_token							)




	def  __A   (						self		:  Optional[int]						,		lowerCAmelCase		:  str							):


		'''simple docstring'''







		UpperCAmelCase_    			=     [t.replace(" "						,		""							).replace("</w>"						,		" "							) for t in tokens]
		UpperCAmelCase_    			=     "".join(_A							).split()
		# detokenize
		UpperCAmelCase_    			=     self.moses_detokenize(_A						,		self.tgt_lang							)
		return text




	def  __A   (						self		:  Optional[int]						,		lowerCAmelCase		:  List[int]						,		lowerCAmelCase		:  Optional[List[int]] = None							):


		'''simple docstring'''







		UpperCAmelCase_    			=     [self.sep_token_id]

		# no bos used in fairseq
		if token_ids_a is None:
			return token_ids_a + sep
		return token_ids_a + sep + token_ids_a + sep




	def  __A   (						self		:  Any						,		lowerCAmelCase		:  List[int]						,		lowerCAmelCase		:  Optional[List[int]] = None						,		lowerCAmelCase		:  bool = False							):


		'''simple docstring'''







		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=_A						,		token_ids_a=_A						,		already_has_special_tokens=_A							)
		# no bos used in fairseq
		if token_ids_a is not None:
			return ([0] * len(_A							)) + [1] + ([0] * len(_A							)) + [1]
		return ([0] * len(_A							)) + [1]




	def  __A   (						self		:  Dict						,		lowerCAmelCase		:  List[int]						,		lowerCAmelCase		:  Optional[List[int]] = None							):


		'''simple docstring'''







		UpperCAmelCase_    			=     [self.sep_token_id]

		# no bos used in fairseq
		if token_ids_a is None:
			return len(token_ids_a + sep							) * [0]
		return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]




	def  __A   (						self		:  Optional[int]						,		lowerCAmelCase		:  str						,		lowerCAmelCase		:  Optional[str] = None							):


		'''simple docstring'''







		if not os.path.isdir(_A							):
			logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
			return

		UpperCAmelCase_    			=     os.path.join(
		    _A						,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]							)
		UpperCAmelCase_    			=     os.path.join(
		    _A						,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]							)
		UpperCAmelCase_    			=     os.path.join(
		    _A						,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]							)

		with open(_A						,		"w"						,		encoding="utf-8"							) as f:
			f.write(json.dumps(self.encoder						,		indent=2						,		sort_keys=_A						,		ensure_ascii=_A							) + "\n"							)

		with open(_A						,		"w"						,		encoding="utf-8"							) as f:
			UpperCAmelCase_    			=     {v: k for k, v in self.decoder.items()}
			f.write(json.dumps(_A						,		indent=2						,		sort_keys=_A						,		ensure_ascii=_A							) + "\n"							)

		UpperCAmelCase_    			=     0
		with open(_A						,		"w"						,		encoding="utf-8"							) as writer:
			for bpe_tokens, token_index in sorted(self.bpe_ranks.items()						,		key=lambda lowerCAmelCase							: kv[1]							):
				if index != token_index:
					logger.warning(
					    F"Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."
					    " Please check that the tokenizer is not corrupted!"							)
					UpperCAmelCase_    			=     token_index
				writer.write(" ".join(_A							) + "\n"							)
				index += 1

		return src_vocab_file, tgt_vocab_file, merges_file




	def __getstate__(						self		:  List[Any]							):


		'''simple docstring'''







		UpperCAmelCase_    			=     self.__dict__.copy()
		UpperCAmelCase_    			=     None
		return state




	def __setstate__(						self		:  List[Any]						,		lowerCAmelCase		:  Any							):


		'''simple docstring'''







		UpperCAmelCase_    			=     d

		try:
			import sacremoses
		except ImportError:
			raise ImportError(
			    "You need to install sacremoses to use XLMTokenizer. "
			    "See https://pypi.org/project/sacremoses/ for installation."							)

		UpperCAmelCase_    			=     sacremoses


from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like



def  __lowerCAmelCase (  A    ,       A=3      ):
	UpperCAmelCase_    			=     int(mask / 2      )
	# copy image size
	UpperCAmelCase_    			=     zeros_like(A      )
	for i in range(A    ,       gray_img.shape[0] - bd      ):
		for j in range(A    ,       gray_img.shape[1] - bd      ):
			# get mask according with mask
			UpperCAmelCase_    			=     ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]      )
			# calculate mask median
			UpperCAmelCase_    			=     sort(A      )[inta(divide((multiply(A    ,       A      ))    ,       2      ) + 1      )]
			UpperCAmelCase_    			=     median
	return median_img


if __name__ == "__main__":
				# read original image
				_a:      Optional[int]								=     imread("""../image_data/lena.jpg""")
				# turn image in gray scale value
				_a:      Dict								=     cvtColor(img, COLOR_BGR2GRAY)

				# get values with two different mask size
				_a:      Tuple								=     median_filter(gray, 3)
				_a:      Dict								=     median_filter(gray, 5)

				# show result images
				imshow("""median filter with 3x3 mask""", medianaxa)
				imshow("""median filter with 5x5 mask""", medianaxa)
				waitKey(0)