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

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


SCREAMING_SNAKE_CASE   :		List[Any]					 =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE   :		Union[str, Any]					 =       {
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

SCREAMING_SNAKE_CASE   :		Tuple					 =       {
    "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"},
}

SCREAMING_SNAKE_CASE   :		Optional[int]					 =       {"stas/tiny-wmt19-en-de": 1024}
SCREAMING_SNAKE_CASE   :		List[Any]					 =       {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}



def        lowerCamelCase_  (   __UpperCamelCase     ):
				A_       	=  set()
				A_       	=  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)     )
								A_       	=  char
				return pairs



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



def        lowerCamelCase_  (   __UpperCamelCase     ):
				A_       	=  []
				for char in text:
								A_       	=  unicodedata.category(__UpperCamelCase     )
								if cat.startswith('''C'''     ):
												continue
								output.append(__UpperCamelCase     )
				return "".join(__UpperCamelCase     )






class 					__lowercase		(					A       ):
					__magic_name__						:							List[Any]     	=	VOCAB_FILES_NAMES
					__magic_name__						:							Dict     	=	PRETRAINED_VOCAB_FILES_MAP
					__magic_name__						:							str     	=	PRETRAINED_INIT_CONFIGURATION
					__magic_name__						:							List[Any]     	=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__magic_name__						:							List[str]     	=	['''input_ids''', '''attention_mask''']


					def __init__(	self       ,       a__=None       ,       a__=None       ,       a__=None       ,       a__=None       ,       a__=False       ,       a__="<unk>"       ,       a__="<s>"       ,       a__="</s>"       ,       a__="<pad>"       ,       **a__       ,       )		->							Tuple:





									'''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.'''						)

									A_       	=  sacremoses

									A_       	=  src_vocab_file
									A_       	=  tgt_vocab_file
									A_       	=  merges_file
									A_       	=  do_lower_case

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

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


					def        lowerCAmelCase_    (	self						)		->							Dict[str, int]:





									'''simple docstring'''
									return self.get_src_vocab()


					@property
					def        lowerCAmelCase_    (	self						)		->							int:





									'''simple docstring'''
									return self.src_vocab_size


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__						)		->							str:





									'''simple docstring'''
									if lang not in self.cache_moses_punct_normalizer:
													A_       	=  self.sm.MosesPunctNormalizer(lang=a__						)
													A_       	=  punct_normalizer
									return self.cache_moses_punct_normalizer[lang].normalize(a__						)


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__						)		->							Dict:





									'''simple docstring'''
									if lang not in self.cache_moses_tokenizer:
													A_       	=  self.sm.MosesTokenizer(lang=a__						)
													A_       	=  moses_tokenizer
									return self.cache_moses_tokenizer[lang].tokenize(
									    a__       ,       aggressive_dash_splits=a__       ,       return_str=a__       ,       escape=a__						)


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__						)		->							List[Any]:





									'''simple docstring'''
									if lang not in self.cache_moses_detokenizer:
													A_       	=  self.sm.MosesDetokenizer(lang=a__						)
													A_       	=  moses_detokenizer
									return self.cache_moses_detokenizer[lang].detokenize(a__						)


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__						)		->							Any:





									'''simple docstring'''
									A_       	=  replace_unicode_punct(a__						)
									A_       	=  self.moses_punct_norm(a__       ,       a__						)
									A_       	=  remove_non_printing_char(a__						)
									return text


					@property
					def        lowerCAmelCase_    (	self						)		->							List[str]:





									'''simple docstring'''
									return len(self.encoder						)


					@property
					def        lowerCAmelCase_    (	self						)		->							List[Any]:





									'''simple docstring'''
									return len(self.decoder						)


					def        lowerCAmelCase_    (	self						)		->							Optional[int]:





									'''simple docstring'''
									return dict(self.encoder       ,       **self.added_tokens_encoder						)


					def        lowerCAmelCase_    (	self						)		->							Any:





									'''simple docstring'''
									return dict(self.decoder       ,       **self.added_tokens_decoder						)


					def        lowerCAmelCase_    (	self       ,       a__						)		->							Any:





									'''simple docstring'''
									A_       	=  tuple(token[:-1]						) + (token[-1] + '''</w>''',)
									if token in self.cache:
													return self.cache[token]
									A_       	=  get_pairs(a__						)

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

									while True:
													A_       	=  min(a__       ,       key=lambda a__						: self.bpe_ranks.get(a__       ,       float('''inf'''						)						)						)
													if bigram not in self.bpe_ranks:
																	break
													A_	,					A_       	=  bigram
													A_       	=  []
													A_       	=  0
													while i < len(a__						):
																	try:
																					A_       	=  word.index(a__       ,       a__						)
																	except ValueError:
																					new_word.extend(word[i:]						)
																					break
																	else:
																					new_word.extend(word[i:j]						)
																					A_       	=  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
													A_       	=  tuple(a__						)
													A_       	=  new_word
													if len(a__						) == 1:
																	break
													else:
																	A_       	=  get_pairs(a__						)
									A_       	=  ''' '''.join(a__						)
									if word == "\n  </w>":
													A_       	=  '''\n</w>'''
									A_       	=  word
									return word


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__="en"       ,       a__=False						)		->							Optional[Any]:





									'''simple docstring'''
									A_       	=  self.src_lang

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

									if bypass_tokenizer:
													A_       	=  text.split()
									else:
													A_       	=  self.moses_pipeline(a__       ,       lang=a__						)
													A_       	=  self.moses_tokenize(a__       ,       lang=a__						)

									A_       	=  []
									for token in text:
													if token:
																	split_tokens.extend(list(self.bpe(a__						).split(''' '''						)						)						)

									return split_tokens


					def        lowerCAmelCase_    (	self       ,       a__						)		->							str:





									'''simple docstring'''
									return self.encoder.get(a__       ,       self.encoder.get(self.unk_token						)						)


					def        lowerCAmelCase_    (	self       ,       a__						)		->							Dict:





									'''simple docstring'''
									return self.decoder.get(a__       ,       self.unk_token						)


					def        lowerCAmelCase_    (	self       ,       a__						)		->							Optional[Any]:





									'''simple docstring'''
									A_       	=  [t.replace(''' '''       ,       ''''''						).replace('''</w>'''       ,       ''' '''						) for t in tokens]
									A_       	=  ''''''.join(a__						).split()
									# detokenize
									A_       	=  self.moses_detokenize(a__       ,       self.tgt_lang						)
									return text


					def        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None						)		->							List[int]:





									'''simple docstring'''
									A_       	=  [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        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None       ,       a__ = False						)		->							List[int]:





									'''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        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None						)		->							List[int]:





									'''simple docstring'''
									A_       	=  [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        lowerCAmelCase_    (	self       ,       a__       ,       a__ = None						)		->							Tuple[str]:





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

									A_       	=  os.path.join(
									    a__       ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file''']						)
									A_       	=  os.path.join(
									    a__       ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file''']						)
									A_       	=  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:
													A_       	=  {v: k for k, v in self.decoder.items()}
													f.write(json.dumps(a__       ,       indent=2       ,       sort_keys=a__       ,       ensure_ascii=a__						) + '''\n'''						)

									A_       	=  0
									with open(a__       ,       '''w'''       ,       encoding='''utf-8'''						) as writer:
													for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,       key=lambda a__						: 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!'''						)
																					A_       	=  token_index
																	writer.write(''' '''.join(a__						) + '''\n'''						)
																	index += 1

									return src_vocab_file, tgt_vocab_file, merges_file


					def __getstate__(	self						)		->							Optional[Any]:





									'''simple docstring'''
									A_       	=  self.__dict__.copy()
									A_       	=  None
									return state


					def __setstate__(	self       ,       a__						)		->							List[str]:





									'''simple docstring'''
									A_       	=  d

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

									A_       	=  sacremoses

from cva import destroyAllWindows, imread, imshow, waitKey



def        lowerCamelCase_  (   __UpperCamelCase ,						__UpperCamelCase     ):
				A_	,					A_       	=  img.shape[0], img.shape[1]

				def to_grayscale(__UpperCamelCase ,						__UpperCamelCase ,						__UpperCamelCase     ):
								return 0.2126 * red + 0.587 * green + 0.114 * blue

				def normalize(__UpperCamelCase     ):
								return min(__UpperCamelCase ,						2_55     )

				for i in range(__UpperCamelCase     ):
								for j in range(__UpperCamelCase     ):
												A_       	=  int(to_grayscale(*img[i][j]     )     )
												A_       	=  [
												    normalize(__UpperCamelCase     ),
												    normalize(greyscale + factor     ),
												    normalize(greyscale + 2 * factor     ),
												]

				return img


if __name__ == "__main__":
						# read original image
						SCREAMING_SNAKE_CASE   :		Optional[Any]					 =       {
						    percentage: imread("image_data/lena.jpg", 1) for percentage in (10, 20, 30, 40)
						}

						for percentage, img in images.items():
												make_sepia(img, percentage)

						for percentage, img in images.items():
												imshow(f'''Original image with sepia (factor: {percentage})''', img)

						waitKey(0)
						destroyAllWindows()