





'''simple docstring'''



import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class       __SCREAMING_SNAKE_CASE	(						__UpperCamelCase					,    unittest.TestCase			):



     '''simple docstring'''






     UpperCAmelCase__       :						int      =   ProphetNetTokenizer
     UpperCAmelCase__       :						Union[str, Any]      =   False

     def 	UpperCamelCase(					self	):
       super().setUp()

       _snake_case     		=				[
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "[PAD]",
           "[MASK]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       _snake_case     		=				os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["vocab_file"]	)
       with open(self.vocab_file						,   "w"						,   encoding="utf-8"	) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)

     def 	UpperCamelCase(					self						,   lowerCamelCase	):
       _snake_case     		=				"UNwant\u00E9d,running"
       _snake_case     		=				"unwanted, running"
       return input_text, output_text

     def 	UpperCamelCase(					self	):
       _snake_case     		=				self.tokenizer_class(self.vocab_file	)

       _snake_case     		=				tokenizer.tokenize("UNwant\u00E9d,running"	)
       self.assertListEqual(lowerCamelCase						,   ["un", "##want", "##ed", ",", "runn", "##ing"]	)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase	)						,   [9, 6, 7, 12, 10, 11]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer()

       self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)						,   ["ah", "\u535A", "\u63A8", "zz"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)						,   ["hello", "!", "how", "are", "you", "?"]	)
       self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)						,   ["hello"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase						,   strip_accents=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)						,   ["hällo", "!", "how", "are", "you", "?"]	)
       self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)						,   ["h\u00E9llo"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase						,   strip_accents=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)						,   ["hallo", "!", "how", "are", "you", "?"]	)
       self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)						,   ["hello"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)						,   ["hallo", "!", "how", "are", "you", "?"]	)
       self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)						,   ["hello"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)						,   ["HeLLo", "!", "how", "Are", "yoU", "?"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase						,   strip_accents=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)						,   ["HäLLo", "!", "how", "Are", "yoU", "?"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase						,   strip_accents=lowerCamelCase	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)						,   ["HaLLo", "!", "how", "Are", "yoU", "?"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				BasicTokenizer(do_lower_case=lowerCamelCase						,   never_split=["[UNK]"]	)

       self.assertListEqual(
           tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)						,   ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)

     def 	UpperCamelCase(					self	):
       _snake_case     		=				["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

       _snake_case     		=				{}
       for i, token in enumerate(lowerCamelCase	):
         _snake_case     		=				i
       _snake_case     		=				WordpieceTokenizer(vocab=lowerCamelCase						,   unk_token="[UNK]"	)

       self.assertListEqual(tokenizer.tokenize(""	)						,   []	)

       self.assertListEqual(tokenizer.tokenize("unwanted running"	)						,   ["un", "##want", "##ed", "runn", "##ing"]	)

       self.assertListEqual(tokenizer.tokenize("unwantedX running"	)						,   ["[UNK]", "runn", "##ing"]	)

     @require_torch
     def 	UpperCamelCase(					self	):
       _snake_case     		=				self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

       _snake_case     		=				["A long paragraph for summarization.", "Another paragraph for summarization."]
       _snake_case     		=				[1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 102]
       _snake_case     		=				tokenizer(lowerCamelCase						,   padding=lowerCamelCase						,   return_tensors="pt"	)
       self.assertIsInstance(lowerCamelCase						,   lowerCamelCase	)
       _snake_case     		=				list(batch.input_ids.numpy()[0]	)
       self.assertListEqual(lowerCamelCase						,   lowerCamelCase	)

       self.assertEqual((2, 9)						,   batch.input_ids.shape	)
       self.assertEqual((2, 9)						,   batch.attention_mask.shape	)

     def 	UpperCamelCase(					self	):
       self.assertTrue(_is_whitespace(" "	)	)
       self.assertTrue(_is_whitespace("\t"	)	)
       self.assertTrue(_is_whitespace("\r"	)	)
       self.assertTrue(_is_whitespace("\n"	)	)
       self.assertTrue(_is_whitespace("\u00A0"	)	)

       self.assertFalse(_is_whitespace("A"	)	)
       self.assertFalse(_is_whitespace("-"	)	)

     def 	UpperCamelCase(					self	):
       self.assertTrue(_is_control("\u0005"	)	)

       self.assertFalse(_is_control("A"	)	)
       self.assertFalse(_is_control(" "	)	)
       self.assertFalse(_is_control("\t"	)	)
       self.assertFalse(_is_control("\r"	)	)

     def 	UpperCamelCase(					self	):
       self.assertTrue(_is_punctuation("-"	)	)
       self.assertTrue(_is_punctuation("$"	)	)
       self.assertTrue(_is_punctuation("`"	)	)
       self.assertTrue(_is_punctuation("."	)	)

       self.assertFalse(_is_punctuation("A"	)	)
       self.assertFalse(_is_punctuation(" "	)	)






     @slow
     def 	UpperCamelCase(					self	):
       _snake_case     		=				self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

       _snake_case     		=				tokenizer.encode("sequence builders"						,   add_special_tokens=lowerCamelCase	)
       _snake_case     		=				tokenizer.encode("multi-sequence build"						,   add_special_tokens=lowerCamelCase	)

       _snake_case     		=				tokenizer.build_inputs_with_special_tokens(lowerCamelCase	)
       _snake_case     		=				tokenizer.build_inputs_with_special_tokens(lowerCamelCase						,   lowerCamelCase	)

       assert encoded_sentence == text + [102]
       assert encoded_pair == text + [102] + text_a + [102]









'''simple docstring'''



from __future__ import annotations

from PIL import Image

# Define glider example
__magic_name__   :						str    =			[
    [0, 1, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0, 0],
    [1, 1, 1, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0, 0],
]

# Define blinker example
__magic_name__   :						List[Any]    =			[[0, 1, 0], [0, 1, 0], [0, 1, 0]]




def 				snake_case_      (		SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  _snake_case     		=				[]
  for i in range(len(SCREAMING_SNAKE_CASE__       )       ):
    _snake_case     		=				[]
    for j in range(len(cells[i]       )       ):
      # Get the number of live neighbours
      _snake_case     		=				0
      if i > 0 and j > 0:
        neighbour_count += cells[i - 1][j - 1]
      if i > 0:
        neighbour_count += cells[i - 1][j]
      if i > 0 and j < len(cells[i]       ) - 1:
        neighbour_count += cells[i - 1][j + 1]
      if j > 0:
        neighbour_count += cells[i][j - 1]
      if j < len(cells[i]       ) - 1:
        neighbour_count += cells[i][j + 1]
      if i < len(SCREAMING_SNAKE_CASE__       ) - 1 and j > 0:
        neighbour_count += cells[i + 1][j - 1]
      if i < len(SCREAMING_SNAKE_CASE__       ) - 1:
        neighbour_count += cells[i + 1][j]
      if i < len(SCREAMING_SNAKE_CASE__       ) - 1 and j < len(cells[i]       ) - 1:
        neighbour_count += cells[i + 1][j + 1]

      # Rules of the game of life (excerpt from Wikipedia):
      # 1. Any live cell with two or three live neighbours survives.
      # 2. Any dead cell with three live neighbours becomes a live cell.
      # 3. All other live cells die in the next generation.
      #    Similarly, all other dead cells stay dead.
      _snake_case     		=				cells[i][j] == 1
      if (
          (alive and 2 <= neighbour_count <= 3)
          or not alive
          and neighbour_count == 3
      ):
        next_generation_row.append(1       )
      else:
        next_generation_row.append(0       )

    next_generation.append(SCREAMING_SNAKE_CASE__       )
  return next_generation




def 				snake_case_      (		SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__       ):







  '''simple docstring'''



  _snake_case     		=				[]
  for _ in range(SCREAMING_SNAKE_CASE__       ):
    # Create output image
    _snake_case     		=				Image.new("RGB"					,	(len(cells[0]       ), len(SCREAMING_SNAKE_CASE__       ))       )
    _snake_case     		=				img.load()

    # Save cells to image
    for x in range(len(SCREAMING_SNAKE_CASE__       )       ):
      for y in range(len(cells[0]       )       ):
        _snake_case     		=				2_55 - cells[y][x] * 2_55
        _snake_case     		=				(colour, colour, colour)

        # Save image
    images.append(SCREAMING_SNAKE_CASE__       )
    _snake_case     		=				new_generation(SCREAMING_SNAKE_CASE__       )
  return images


if __name__ == "__main__":
 __magic_name__   :						Optional[Any]    =			generate_images(GLIDER, 16)
 images[0].save("""out.gif""", save_all=True, append_images=images[1:])


