


'''simple docstring'''

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

from ...tokenization_utils import PreTrainedTokenizer, _is_control, _is_punctuation, _is_whitespace
from ...utils import logging


lowerCamelCase							:       Union[str, Any]  						=     logging.get_logger(__name__)

lowerCamelCase							:       List[Any]  						=     {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase							:       Optional[int]  						=     {
    '''vocab_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/vocab.json'''},
    '''merges_file''': {'''openai-gpt''': '''https://huggingface.co/openai-gpt/resolve/main/merges.txt'''},
}

lowerCamelCase							:       Tuple  						=     {
    '''openai-gpt''': 512,
}

def _SCREAMING_SNAKE_CASE				(A	):






       """simple docstring"""







       lowercase__				      =			text.strip()
       if not text:
              return []
       lowercase__				      =			text.split()
       return tokens
class   __lowerCAmelCase						(snake_case__					):





      '''simple docstring'''






      def __init__(self   :   Dict       ,						UpperCamelCase   :   Any=True       ,						UpperCamelCase   :   int=None       ,						UpperCamelCase   :   str=True       ,						UpperCamelCase   :   Union[str, Any]=None       ,						UpperCamelCase   :   str=True       ,						):

             '''simple docstring'''







             if never_split is None:
                    lowercase__				      =			[]
             lowercase__				      =			do_lower_case
             lowercase__				      =			set(_A			)
             lowercase__				      =			tokenize_chinese_chars
             lowercase__				      =			strip_accents
             lowercase__				      =			do_split_on_punc



      def 				UpperCamelCase__		(self   :   Optional[Any]       ,						UpperCamelCase   :   Union[str, Any]       ,						UpperCamelCase   :   Optional[int]=None			):

             '''simple docstring'''







             lowercase__				      =			self.never_split.union(set(_A			)			) if never_split else self.never_split
             lowercase__				      =			self._clean_text(_A			)

             # This was added on November 1st, 2018 for the multilingual and Chinese
             # models. This is also applied to the English models now, but it doesn't
             # matter since the English models were not trained on any Chinese data
             # and generally don't have any Chinese data in them (there are Chinese
             # characters in the vocabulary because Wikipedia does have some Chinese
             # words in the English Wikipedia.).
             if self.tokenize_chinese_chars:
                    lowercase__				      =			self._tokenize_chinese_chars(_A			)
             # prevents treating the same character with different unicode codepoints as different characters
             lowercase__				      =			unicodedata.normalize('''NFC'''       ,						_A			)
             lowercase__				      =			whitespace_tokenize(_A			)
             lowercase__				      =			[]
             for token in orig_tokens:
                    if token not in never_split:
                           if self.do_lower_case:
                                  lowercase__				      =			token.lower()
                                  if self.strip_accents is not False:
                                         lowercase__				      =			self._run_strip_accents(_A			)
                           elif self.strip_accents:
                                  lowercase__				      =			self._run_strip_accents(_A			)
                    split_tokens.extend(self._run_split_on_punc(_A       ,						_A			)			)

             lowercase__				      =			whitespace_tokenize(''' '''.join(_A			)			)
             return output_tokens



      def 				UpperCamelCase__		(self   :   Any       ,						UpperCamelCase   :   Dict			):

             '''simple docstring'''







             lowercase__				      =			unicodedata.normalize('''NFD'''       ,						_A			)
             lowercase__				      =			[]
             for char in text:
                    lowercase__				      =			unicodedata.category(_A			)
                    if cat == "Mn":
                           continue
                    output.append(_A			)
             return "".join(_A			)



      def 				UpperCamelCase__		(self   :   List[str]       ,						UpperCamelCase   :   Union[str, Any]       ,						UpperCamelCase   :   str=None			):

             '''simple docstring'''







             if not self.do_split_on_punc or (never_split is not None and text in never_split):
                    return [text]
             lowercase__				      =			list(_A			)
             lowercase__				      =			0
             lowercase__				      =			True
             lowercase__				      =			[]
             while i < len(_A			):
                    lowercase__				      =			chars[i]
                    if _is_punctuation(_A			):
                           output.append([char]			)
                           lowercase__				      =			True
                    else:
                           if start_new_word:
                                  output.append([]			)
                           lowercase__				      =			False
                           output[-1].append(_A			)
                    i += 1

             return ["".join(_A			) for x in output]



      def 				UpperCamelCase__		(self   :   List[str]       ,						UpperCamelCase   :   Optional[int]			):

             '''simple docstring'''







             lowercase__				      =			[]
             for char in text:
                    lowercase__				      =			ord(_A			)
                    if self._is_chinese_char(_A			):
                           output.append(''' '''			)
                           output.append(_A			)
                           output.append(''' '''			)
                    else:
                           output.append(_A			)
             return "".join(_A			)



      def 				UpperCamelCase__		(self   :   Optional[int]       ,						UpperCamelCase   :   Tuple			):

             '''simple docstring'''







             if (
                 (cp >= 0x4_E_0_0 and cp <= 0x9_F_F_F)
                 or (cp >= 0x3_4_0_0 and cp <= 0x4_D_B_F)  #
                 or (cp >= 0x2_0_0_0_0 and cp <= 0x2_A_6_D_F)  #
                 or (cp >= 0x2_A_7_0_0 and cp <= 0x2_B_7_3_F)  #
                 or (cp >= 0x2_B_7_4_0 and cp <= 0x2_B_8_1_F)  #
                 or (cp >= 0x2_B_8_2_0 and cp <= 0x2_C_E_A_F)  #
                 or (cp >= 0xF_9_0_0 and cp <= 0xF_A_F_F)
                 or (cp >= 0x2_F_8_0_0 and cp <= 0x2_F_A_1_F)  #
             ):  #
                    return True

             return False






      def 				UpperCamelCase__		(self   :   Any       ,						UpperCamelCase   :   Any			):

             '''simple docstring'''







             lowercase__				      =			[]
             for char in text:
                    lowercase__				      =			ord(_A			)
                    if cp == 0 or cp == 0xF_F_F_D or _is_control(_A			):
                           continue
                    if _is_whitespace(_A			):
                           output.append(''' '''			)
                    else:
                           output.append(_A			)
             return "".join(_A			)






def _SCREAMING_SNAKE_CASE				(A	):






       """simple docstring"""







       lowercase__				      =			set()
       lowercase__				      =			word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)	)
              lowercase__				      =			char
       return pairs

def _SCREAMING_SNAKE_CASE				(A	):






       """simple docstring"""







       lowercase__				      =			text.replace('''—'''  ,			'''-'''	)
       lowercase__				      =			text.replace('''–'''  ,			'''-'''	)
       lowercase__				      =			text.replace('''―'''  ,			'''-'''	)
       lowercase__				      =			text.replace('''…'''  ,			'''...'''	)
       lowercase__				      =			text.replace('''´'''  ,			'''\''''	)
       lowercase__				      =			re.sub(R'''(-+|~+|!+|"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)'''  ,			R''' \1 '''  ,			A	)
       lowercase__				      =			re.sub(R'''\s*\n\s*'''  ,			''' \n '''  ,			A	)
       lowercase__				      =			re.sub(R'''[^\S\n]+'''  ,			''' '''  ,			A	)
       return text.strip()

class   __lowerCAmelCase						(snake_case__					):





      '''simple docstring'''






      lowerCAmelCase__ :					int   =							VOCAB_FILES_NAMES
      lowerCAmelCase__ :					Union[str, Any]   =							PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__ :					Any   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__ :					Dict   =							['''input_ids''', '''attention_mask''']



      def __init__(self   :   List[Any]       ,						UpperCamelCase   :   Any       ,						UpperCamelCase   :   Optional[int]       ,						UpperCamelCase   :   Optional[int]="<unk>"       ,						**UpperCamelCase   :   Any			):

             '''simple docstring'''







             super().__init__(unk_token=_A       ,						**_A			)

             try:
                    import ftfy
                    from spacy.lang.en import English

                    lowercase__				      =			English()
                    lowercase__				      =			_nlp.tokenizer
                    lowercase__				      =			ftfy.fix_text
             except ImportError:
                    logger.warning('''ftfy or spacy is not installed using BERT BasicTokenizer instead of SpaCy & ftfy.'''			)
                    lowercase__				      =			BasicTokenizer(do_lower_case=_A			)
                    lowercase__				      =			None

             with open(_A       ,						encoding='''utf-8'''			) as vocab_handle:
                    lowercase__				      =			json.load(_A			)
             lowercase__				      =			{v: k for k, v in self.encoder.items()}
             with open(_A       ,						encoding='''utf-8'''			) as merges_handle:
                    lowercase__				      =			merges_handle.read().split('''\n'''			)[1:-1]
             lowercase__				      =			[tuple(merge.split()			) for merge in merges]
             lowercase__				      =			dict(zip(_A       ,						range(len(_A			)			)			)			)
             lowercase__				      =			{}



      @property
      def 				UpperCamelCase__		(self   :   Union[str, Any]			):

             '''simple docstring'''







             return True



      @property
      def 				UpperCamelCase__		(self   :   int			):

             '''simple docstring'''







             return len(self.encoder			)



      def 				UpperCamelCase__		(self   :   int			):

             '''simple docstring'''







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



      def 				UpperCamelCase__		(self   :   Optional[int]       ,						UpperCamelCase   :   Dict			):

             '''simple docstring'''







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

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

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



      def 				UpperCamelCase__		(self   :   Dict       ,						UpperCamelCase   :   Optional[int]			):

             '''simple docstring'''







             lowercase__				      =			[]
             if self.fix_text is None:
                    # Using BERT's BasicTokenizer
                    lowercase__				      =			self.nlp.tokenize(_A			)
                    for token in text:
                           split_tokens.extend(list(self.bpe(_A			).split(''' '''			)			)			)
             else:
                    # Using SpaCy & ftfy (original tokenization process of OpenAI GPT)
                    lowercase__				      =			self.nlp(text_standardize(self.fix_text(_A			)			)			)
                    for token in text:
                           split_tokens.extend(list(self.bpe(token.text.lower()			).split(''' '''			)			)			)
             return split_tokens



      def 				UpperCamelCase__		(self   :   Optional[int]       ,						UpperCamelCase   :   Dict			):

             '''simple docstring'''







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



      def 				UpperCamelCase__		(self   :   Optional[int]       ,						UpperCamelCase   :   Tuple			):

             '''simple docstring'''







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



      def 				UpperCamelCase__		(self   :   Union[str, Any]       ,						UpperCamelCase   :   Optional[Any]			):

             '''simple docstring'''







             lowercase__				      =			''.join(_A			).replace('''</w>'''       ,						''' '''			).strip()
             return out_string






      def 				UpperCamelCase__		(self   :   List[str]       ,						UpperCamelCase   :   Union[str, Any]       ,						UpperCamelCase   :   int = None			):

             '''simple docstring'''







             if not os.path.isdir(_A			):
                    logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
                    return
             lowercase__				      =			os.path.join(
                 _A       ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)
             lowercase__				      =			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'''			)

             lowercase__				      =			0
             with open(_A       ,						'''w'''       ,						encoding='''utf-8'''			) as writer:
                    writer.write('''#version: 0.2\n'''			)
                    for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,						key=lambda UpperCamelCase			: kv[1]			):
                           if index != token_index:
                                  logger.warning(
                                      f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                                      ''' Please check that the tokenizer is not corrupted!'''			)
                                  lowercase__				      =			token_index
                           writer.write(''' '''.join(_A			) + '''\n'''			)
                           index += 1

             return vocab_file, merge_file








'''simple docstring'''

import math
import os

import cva
import numpy as np

lowerCamelCase							:       Optional[Any]  						=     2_5_5.0

def _SCREAMING_SNAKE_CASE				(A  ,			A	)	->	float:






       """simple docstring"""







       lowercase__				      =			np.mean((original - contrast) ** 2	)
       if mse == 0:
              return 100

       return 20 * math.logaa(PIXEL_MAX / math.sqrt(A	)	)

def _SCREAMING_SNAKE_CASE				()	->	None:






       """simple docstring"""







       lowercase__				      =			os.path.dirname(os.path.realpath(A	)	)
       # Loading images (original image and compressed image)
       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/original_image.png'''	)	)
       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/compressed_image.png'''	)  ,			1	)

       lowercase__				      =			cva.imread(os.path.join(A  ,			'''image_data/PSNR-example-base.png'''	)	)
       lowercase__				      =			cva.imread(
           os.path.join(A  ,			'''image_data/PSNR-example-comp-10.jpg'''	)  ,			1	)

       # Value expected: 29.73dB
       print('''-- First Test --'''	)
       print(f"PSNR value is {peak_signal_to_noise_ratio(A  ,			A	)} dB"	)

       # # Value expected: 31.53dB (Wikipedia Example)
       print('''\n-- Second Test --'''	)
       print(f"PSNR value is {peak_signal_to_noise_ratio(A  ,			A	)} dB"	)


if __name__ == "__main__":
 main()




