

import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class      SCREAMING_SNAKE_CASE__      (    _UpperCAmelCase,unittest.TestCase				):
    _A         =							HerbertTokenizer
    _A         =							HerbertTokenizerFast
    _A         =							True




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          super().setUp()

          # Use a simpler test file without japanese/chinese characters
          with open(F"{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"    ,					encoding="utf-8"      ) as f_data:
                SCREAMING_SNAKE_CASE_				:      List[str]					=	f_data.read().replace("\n\n"    ,					"\n"      ).strip()

          SCREAMING_SNAKE_CASE_				:      Dict					=	[
              "<s>",
              "</s>",
              "l",
              "o",
              "w",
              "e",
              "r",
              "s",
              "t",
              "i",
              "d",
              "n",
              "w</w>",
              "r</w>",
              "t</w>",
              "lo",
              "low",
              "er</w>",
              "low</w>",
              "lowest</w>",
              "newer</w>",
              "wider</w>",
              ",</w>",
              "<unk>",
          ]
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	dict(zip(lowercase__    ,					range(len(lowercase__      )      )      )      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	["l o 123", "lo w 1456", "e r</w> 1789", ""]

          SCREAMING_SNAKE_CASE_				:      Any					=	os.path.join(self.tmpdirname    ,					VOCAB_FILES_NAMES["vocab_file"]      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	os.path.join(self.tmpdirname    ,					VOCAB_FILES_NAMES["merges_file"]      )
          with open(self.vocab_file    ,					"w"      ) as fp:
                fp.write(json.dumps(lowercase__      )      )
          with open(self.merges_file    ,					"w"      ) as fp:
                fp.write("\n".join(lowercase__      )      )




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	"lower newer"
          SCREAMING_SNAKE_CASE_				:      str					=	"lower newer"
          return input_text, output_text




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.tokenizer_class(vocab_file=self.vocab_file    ,					merges_file=self.merges_file      )

          SCREAMING_SNAKE_CASE_				:      int					=	"lower"
          SCREAMING_SNAKE_CASE_				:      List[str]					=	["low", "er</w>"]
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokens + ["<unk>"]
          SCREAMING_SNAKE_CASE_				:      Dict					=	[16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__      )    ,					lowercase__      )




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          if not self.test_rust_tokenizer:
                return

          SCREAMING_SNAKE_CASE_				:      Dict					=	self.get_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	"lower,newer"

          SCREAMING_SNAKE_CASE_				:      int					=	tokenizer.tokenize(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	rust_tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      int					=	rust_tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokenizer.encode(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	rust_tokenizer.encode(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )







    @slow
    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      int					=	self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode("konstruowanie sekwencji"    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	tokenizer.encode("konstruowanie wielu sekwencji"    ,					add_special_tokens=lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[str]					=	tokenizer.build_inputs_with_special_tokens(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	tokenizer.build_inputs_with_special_tokens(lowercase__    ,					lowercase__      )

          assert encoded_sentence == [0] + text + [2]
          assert encoded_pair == [0] + text + [2] + text_a + [2]




'''simple docstring'''






from __future__ import annotations

from PIL import Image

# Define the first generation of cells
# fmt: off
snake_case_					  =	[[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  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      return [int(SCREAMING_SNAKE_CASE_   ) for c in F"{ruleset:08}"[:8]]


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     list[list[int]]  ,  SCREAMING_SNAKE_CASE_					:     list[int]  ,  SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

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


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     list[list[int]]   )							->       Image.Image:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      Tuple					=	Image.new("RGB"  ,  (len(cells[0]   ), len(SCREAMING_SNAKE_CASE_   ))   )
      SCREAMING_SNAKE_CASE_				:      Optional[int]					=	img.load()
      # Generates image
      for w in range(img.width   ):
            for h in range(img.height   ):
                  SCREAMING_SNAKE_CASE_				:      List[Any]					=	2_5_5 - int(2_5_5 * cells[h][w]   )
                  SCREAMING_SNAKE_CASE_				:      Optional[int]					=	(color, color, color)
      return img


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

