






import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation

snake_case			 =						logging.get_logger(__name__)

snake_case			 =						{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

snake_case			 =						{
    """vocab_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/vocab.json""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/vocab.json""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/vocab.json""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/vocab.json""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """gpt2""": """https://huggingface.co/gpt2/resolve/main/merges.txt""",
        """gpt2-medium""": """https://huggingface.co/gpt2-medium/resolve/main/merges.txt""",
        """gpt2-large""": """https://huggingface.co/gpt2-large/resolve/main/merges.txt""",
        """gpt2-xl""": """https://huggingface.co/gpt2-xl/resolve/main/merges.txt""",
        """distilgpt2""": """https://huggingface.co/distilgpt2/resolve/main/merges.txt""",
    },
}

snake_case			 =						{
    """gpt2""": 1_024,
    """gpt2-medium""": 1_024,
    """gpt2-large""": 1_024,
    """gpt2-xl""": 1_024,
    """distilgpt2""": 1_024,
}


@lru_cache()
def      lowerCamelCase__	(   ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Tuple		  =			(
      list(range(ord("!" )  ,   ord("~" ) + 1 ) ) + list(range(ord("¡" )  ,   ord("¬" ) + 1 ) ) + list(range(ord("®" )  ,   ord("ÿ" ) + 1 ) )
  )
  SCREAMING_SNAKE_CASE				:					List[str]		  =			bs[:]
  SCREAMING_SNAKE_CASE				:					str		  =			0
  for b in range(2**8 ):
    if b not in bs:
      bs.append(lowercase )
      cs.append(2**8 + n )
      n += 1
  SCREAMING_SNAKE_CASE				:					str		  =			[chr(lowercase ) for n in cs]
  return dict(zip(lowercase  ,   lowercase ) )


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			set()
  SCREAMING_SNAKE_CASE				:					Dict		  =			word[0]
  for char in word[1:]:
    pairs.add((prev_char, char) )
    SCREAMING_SNAKE_CASE				:					List[Any]		  =			char
  return pairs


class        SCREAMING_SNAKE_CASE	(	lowerCAmelCase    ):
     '''simple docstring'''


     UpperCamelCase_							:						List[str]								=		VOCAB_FILES_NAMES
     UpperCamelCase_							:						List[Any]								=		PRETRAINED_VOCAB_FILES_MAP
     UpperCamelCase_							:						Tuple								=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCamelCase_							:						Union[str, Any]								=		['''input_ids''', '''attention_mask''']


     def __init__( self				:		List[str]    ,       UpperCAmelCase_				:		Any    ,       UpperCAmelCase_				:		Tuple    ,       UpperCAmelCase_				:		List[Any]="replace"    ,       UpperCAmelCase_				:		int="<|endoftext|>"    ,       UpperCAmelCase_				:		int="<|endoftext|>"    ,       UpperCAmelCase_				:		Union[str, Any]="<|endoftext|>"    ,       UpperCAmelCase_				:		int=None    ,       UpperCAmelCase_				:		str=False    ,       UpperCAmelCase_				:		int=False    ,       **UpperCAmelCase_				:		Optional[int]    ,       ):
       SCREAMING_SNAKE_CASE				:					Tuple		  =			AddedToken(UpperCAmelCase_    ,       lstrip=UpperCAmelCase_    ,       rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_    ,       UpperCAmelCase_					) else bos_token
       SCREAMING_SNAKE_CASE				:					List[Any]		  =			AddedToken(UpperCAmelCase_    ,       lstrip=UpperCAmelCase_    ,       rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_    ,       UpperCAmelCase_					) else eos_token
       SCREAMING_SNAKE_CASE				:					Any		  =			AddedToken(UpperCAmelCase_    ,       lstrip=UpperCAmelCase_    ,       rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_    ,       UpperCAmelCase_					) else unk_token
       SCREAMING_SNAKE_CASE				:					Any		  =			AddedToken(UpperCAmelCase_    ,       lstrip=UpperCAmelCase_    ,       rstrip=UpperCAmelCase_					) if isinstance(UpperCAmelCase_    ,       UpperCAmelCase_					) else pad_token
       super().__init__(
           errors=UpperCAmelCase_    ,       unk_token=UpperCAmelCase_    ,       bos_token=UpperCAmelCase_    ,       eos_token=UpperCAmelCase_    ,       pad_token=UpperCAmelCase_    ,       add_prefix_space=UpperCAmelCase_    ,       add_bos_token=UpperCAmelCase_    ,       **UpperCAmelCase_    ,       )
       SCREAMING_SNAKE_CASE				:					Dict		  =			add_bos_token

       with open(UpperCAmelCase_    ,       encoding="utf-8"					) as vocab_handle:
         SCREAMING_SNAKE_CASE				:					Dict		  =			json.load(UpperCAmelCase_					)
       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			{v: k for k, v in self.encoder.items()}
       SCREAMING_SNAKE_CASE				:					Tuple		  =			errors  # how to handle errors in decoding
       SCREAMING_SNAKE_CASE				:					List[str]		  =			bytes_to_unicode()
       SCREAMING_SNAKE_CASE				:					Dict		  =			{v: k for k, v in self.byte_encoder.items()}
       with open(UpperCAmelCase_    ,       encoding="utf-8"					) as merges_handle:
         SCREAMING_SNAKE_CASE				:					Any		  =			merges_handle.read().split("\n"					)[1:-1]
       SCREAMING_SNAKE_CASE				:					Tuple		  =			[tuple(merge.split()					) for merge in bpe_merges]
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			dict(zip(UpperCAmelCase_    ,       range(len(UpperCAmelCase_					)					)					)					)
       SCREAMING_SNAKE_CASE				:					int		  =			{}
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       SCREAMING_SNAKE_CASE				:					Dict		  =			re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"					)


     @property
     def  _A				( self				:		str					):
       return len(self.encoder					)


     def  _A				( self				:		Optional[int]					):
       return dict(self.encoder    ,       **self.added_tokens_encoder					)


     def  _A				( self				:		List[Any]    ,       UpperCAmelCase_				:		Any					):
       if token in self.cache:
         return self.cache[token]
       SCREAMING_SNAKE_CASE				:					Tuple		  =			tuple(UpperCAmelCase_					)
       SCREAMING_SNAKE_CASE				:					List[str]		  =			get_pairs(UpperCAmelCase_					)

       if not pairs:
         return token

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

           if word[i] == first and i < len(UpperCAmelCase_					) - 1 and word[i + 1] == second:
             new_word.append(first + second					)
             i += 2
           else:
             new_word.append(word[i]					)
             i += 1
         SCREAMING_SNAKE_CASE				:					List[str]		  =			tuple(UpperCAmelCase_					)
         SCREAMING_SNAKE_CASE				:					List[str]		  =			new_word
         if len(UpperCAmelCase_					) == 1:
           break
         else:
           SCREAMING_SNAKE_CASE				:					int		  =			get_pairs(UpperCAmelCase_					)
       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			" ".join(UpperCAmelCase_					)
       SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			word
       return word


     def  _A				( self				:		Optional[int]    ,       UpperCAmelCase_				:		Optional[int]    ,       UpperCAmelCase_				:		Tuple=None					):
       if self.add_bos_token:
         SCREAMING_SNAKE_CASE				:					Dict		  =			[self.bos_token_id]
       else:
         SCREAMING_SNAKE_CASE				:					Optional[int]		  =			[]

       SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			bos_token_ids + token_ids_a

       if token_ids_a is None:
         return output

       return output + bos_token_ids + token_ids_a


     def  _A				( self				:		Dict    ,       UpperCAmelCase_				:		List[int]    ,       UpperCAmelCase_				:		Optional[List[int]] = None    ,       UpperCAmelCase_				:		bool = False					):
       if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=UpperCAmelCase_    ,       token_ids_a=UpperCAmelCase_    ,       already_has_special_tokens=UpperCAmelCase_					)

       if not self.add_bos_token:
         return super().get_special_tokens_mask(
             token_ids_a=UpperCAmelCase_    ,       token_ids_a=UpperCAmelCase_    ,       already_has_special_tokens=UpperCAmelCase_					)

       if token_ids_a is None:
         return [1] + ([0] * len(UpperCAmelCase_					))
       return [1] + ([0] * len(UpperCAmelCase_					)) + [1] + ([0] * len(UpperCAmelCase_					))


     def  _A				( self				:		List[str]    ,       UpperCAmelCase_				:		Dict					):
       SCREAMING_SNAKE_CASE				:					List[Any]		  =			[]
       for token in re.findall(self.pat    ,       UpperCAmelCase_					):
         SCREAMING_SNAKE_CASE				:					List[Any]		  =			"".join(
             self.byte_encoder[b] for b in token.encode("utf-8"					)					)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
         bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCAmelCase_					).split(" "					)					)
       return bpe_tokens


     def  _A				( self				:		int    ,       UpperCAmelCase_				:		Optional[int]					):
       return self.encoder.get(UpperCAmelCase_    ,       self.encoder.get(self.unk_token					)					)


     def  _A				( self				:		Tuple    ,       UpperCAmelCase_				:		List[Any]					):
       return self.decoder.get(UpperCAmelCase_					)


     def  _A				( self				:		List[str]    ,       UpperCAmelCase_				:		Union[str, Any]					):
       SCREAMING_SNAKE_CASE				:					Any		  =			"".join(UpperCAmelCase_					)
       SCREAMING_SNAKE_CASE				:					List[Any]		  =			bytearray([self.byte_decoder[c] for c in text]					).decode("utf-8"    ,       errors=self.errors					)
       return text


     def  _A				( self				:		Optional[Any]    ,       UpperCAmelCase_				:		str    ,       UpperCAmelCase_				:		Optional[str] = None					):
       if not os.path.isdir(UpperCAmelCase_					):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
         return
       SCREAMING_SNAKE_CASE				:					Optional[int]		  =			os.path.join(
           UpperCAmelCase_    ,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)
       SCREAMING_SNAKE_CASE				:					List[str]		  =			os.path.join(
           UpperCAmelCase_    ,       (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]					)

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

       SCREAMING_SNAKE_CASE				:					List[Any]		  =			0
       with open(UpperCAmelCase_    ,       "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!"					)
             SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			token_index
           writer.write(" ".join(UpperCAmelCase_					) + "\n"					)
           index += 1

       return vocab_file, merge_file


     def  _A				( self				:		Union[str, Any]    ,       UpperCAmelCase_				:		Optional[Any]    ,       UpperCAmelCase_				:		Dict=False    ,       **UpperCAmelCase_				:		Dict					):
       SCREAMING_SNAKE_CASE				:					str		  =			kwargs.pop("add_prefix_space"    ,       self.add_prefix_space					)
       if is_split_into_words or add_prefix_space:
         SCREAMING_SNAKE_CASE				:					str		  =			" " + text
       return (text, kwargs)






     def  _A				( self				:		Optional[int]    ,       UpperCAmelCase_				:		"Conversation"					):
       SCREAMING_SNAKE_CASE				:					Union[str, Any]		  =			[]
       for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(UpperCAmelCase_    ,       add_special_tokens=UpperCAmelCase_					) + [self.eos_token_id]					)
       if len(UpperCAmelCase_					) > self.model_max_length:
         SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			input_ids[-self.model_max_length :]
       return input_ids














import math
from collections.abc import Generator


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    # only need to check for factors up to sqrt(i)
    SCREAMING_SNAKE_CASE				:					str		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1)  ,   2 ))
  # It's useless to test even numbers as they will not be prime
  if max_n > 2:
    yield 2  # Because 2 will not be tested, it's necessary to yield it now
  for i in (n for n in numbers if n > 1):
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(3  ,   lowercase  ,   2 ):
      # As we removed the even numbers, we don't need them now
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   ):

  """simple docstring"""






  from timeit import timeit

  SCREAMING_SNAKE_CASE				:					Tuple		  =			"from __main__ import slow_primes, primes, fast_primes"
  print(timeit("slow_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("fast_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )


if __name__ == "__main__":
   snake_case			 =						int(input("""Calculate primes up to:\n>> """).strip())
   for ret in primes(number):
      print(ret)
   benchmark()






