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

__SCREAMING_SNAKE_CASE						:    Dict     = logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE						:    Tuple     = {
    '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',
    },
}

__SCREAMING_SNAKE_CASE						:    Optional[Any]     = {
    'gpt2': 1_0_2_4,
    'gpt2-medium': 1_0_2_4,
    'gpt2-large': 1_0_2_4,
    'gpt2-xl': 1_0_2_4,
    'distilgpt2': 1_0_2_4,
}
@lru_cache()
def 					snake_case						()       ->       int:

						'''simple docstring'''



						_snake_case						:     List[str]				=    (
						    list(range(ord("!"						)					,			ord("~"						) + 1						)						) + list(range(ord("¡"						)					,			ord("¬"						) + 1						)						) + list(range(ord("®"						)					,			ord("ÿ"						) + 1						)						)
						)
						_snake_case						:     Union[str, Any]				=    bs[:]
						_snake_case						:     List[str]				=    0
						for b in range(2**8						):
												if b not in bs:
																		bs.append(__lowercase						)
																		cs.append(2**8 + n						)
																		n += 1
						_snake_case						:     Tuple				=    [chr(__lowercase						) for n in cs]
						return dict(zip(__lowercase					,			__lowercase						)						)
def 					snake_case						(__lowercase						)       ->       Optional[int]:

						'''simple docstring'''



						_snake_case						:     List[Any]				=    set()
						_snake_case						:     Optional[int]				=    word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)						)
												_snake_case						:     Optional[Any]				=    char
						return pairs



class    lowercase_    (     __snake_case		):
							_lowerCamelCase						=		VOCAB_FILES_NAMES
							_lowerCamelCase						=		PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowerCamelCase						=		['input_ids', 'attention_mask']



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

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

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



							@property
							def        UpperCamelCase       (						self				):
													return len(self.encoder				)



							def        UpperCamelCase       (						self				):
													return dict(self.encoder      ,				**self.added_tokens_encoder				)



							def        UpperCamelCase       (						self      ,				lowercase_				):
													if token in self.cache:
																			return self.cache[token]
													_snake_case						:     List[Any]				=    tuple(lowercase_				)
													_snake_case						:     List[str]				=    get_pairs(lowercase_				)

													if not pairs:
																			return token

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

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



							def        UpperCamelCase       (						self      ,				lowercase_      ,				lowercase_=None				):
													if self.add_bos_token:
																			_snake_case						:     Union[str, Any]				=    [self.bos_token_id]
													else:
																			_snake_case						:     Union[str, Any]				=    []

													_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        UpperCamelCase       (						self      ,				lowercase_      ,				lowercase_ = None      ,				lowercase_ = False				):
													if already_has_special_tokens:
																			return super().get_special_tokens_mask(
																			    token_ids_a=lowercase_      ,				token_ids_a=lowercase_      ,				already_has_special_tokens=lowercase_				)

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

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



							def        UpperCamelCase       (						self      ,				lowercase_				):
													_snake_case						:     Dict				=    []
													for token in re.findall(self.pat      ,				lowercase_				):
																			_snake_case						:     Union[str, 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(lowercase_				).split(" "				)				)
													return bpe_tokens



							def        UpperCamelCase       (						self      ,				lowercase_				):
													return self.encoder.get(lowercase_      ,				self.encoder.get(self.unk_token				)				)



							def        UpperCamelCase       (						self      ,				lowercase_				):
													return self.decoder.get(lowercase_				)



							def        UpperCamelCase       (						self      ,				lowercase_				):
													_snake_case						:     int				=    "".join(lowercase_				)
													_snake_case						:     str				=    bytearray([self.byte_decoder[c] for c in text]				).decode("utf-8"      ,				errors=self.errors				)
													return text



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

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

													_snake_case						:     str				=    0
													with open(lowercase_      ,				"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 lowercase_				: 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!"				)
																															_snake_case						:     Dict				=    token_index
																									writer.write(" ".join(lowercase_				) + "\n"				)
																									index += 1

													return vocab_file, merge_file



							def        UpperCamelCase       (						self      ,				lowercase_      ,				lowercase_=False      ,				**lowercase_				):
													_snake_case						:     Optional[Any]				=    kwargs.pop("add_prefix_space"      ,				self.add_prefix_space				)
													if is_split_into_words or add_prefix_space:
																			_snake_case						:     Optional[int]				=    " " + text
													return (text, kwargs)



							def        UpperCamelCase       (						self      ,				lowercase_				):
													_snake_case						:     str				=    []
													for is_user, text in conversation.iter_texts():
																			input_ids.extend(self.encode(lowercase_      ,				add_special_tokens=lowercase_				) + [self.eos_token_id]				)
													if len(lowercase_				) > self.model_max_length:
																			_snake_case						:     str				=    input_ids[-self.model_max_length :]
													return input_ids
from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
__SCREAMING_SNAKE_CASE						:    Optional[int]     = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
          0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
def 					snake_case						(__lowercase						)       ->       list[int]:

						'''simple docstring'''



						return [int(__lowercase						) for c in F"""{ruleset:08}"""[:8]]
def 					snake_case						(__lowercase					,			__lowercase					,			__lowercase						)       ->       list[int]:

						'''simple docstring'''



						_snake_case						:     Any				=    len(cells[0]						)  # 31
						_snake_case						:     str				=    []
						for i in range(__lowercase						):
												# Get the neighbors of each cell
												# Handle neighbours outside bounds by using 0 as their value
												_snake_case						:     Any				=    0 if i == 0 else cells[time][i - 1]
												_snake_case						:     List[str]				=    0 if i == population - 1 else cells[time][i + 1]
												# Define a new cell and add it to the new generation
												_snake_case						:     str				=    7 - int(F"""{left_neighbor}{cells[time][i]}{right_neighbor}"""					,			2						)
												next_generation.append(rule[situation]						)
						return next_generation
def 					snake_case						(__lowercase						)       ->       Image.Image:

						'''simple docstring'''



						_snake_case						:     str				=    Image.new("RGB"					,			(len(cells[0]						), len(__lowercase						))						)
						_snake_case						:     int				=    img.load()
						# Generates image
						for w in range(img.width						):
												for h in range(img.height						):
																		_snake_case						:     List[Any]				=    255 - int(255 * cells[h][w]						)
																		_snake_case						:     Union[str, Any]				=    (color, color, color)
						return img


if __name__ == "__main__":
				__SCREAMING_SNAKE_CASE						:    Any     = bin(int(input('Rule:\n').strip()))[2:]
				__SCREAMING_SNAKE_CASE						:    Tuple     = format_ruleset(int(rule_num))
				for time in range(1_6):
								CELLS.append(new_generation(CELLS, rule, time))
				__SCREAMING_SNAKE_CASE						:    List[Any]     = generate_image(CELLS)
				# Uncomment to save the image
				# img.save(f"rule_{rule_num}.png")
				img.show()