






"""simple docstring"""





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class    __lowerCamelCase    (  _a							,	unittest.TestCase  ):
   a      :				Optional[Any] 						=MgpstrTokenizer
   a      :				List[Any] 						=False
   a      :				List[Any] 						={}
   a      :				Tuple 						=False

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Dict:
       super().setUp()

       # fmt: off
       UpperCamelCase__         =    ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
       # fmt: on
       UpperCamelCase__         =    dict(zip(snake_case_ ,				range(len(snake_case_      )      )      )      )

       UpperCamelCase__         =    os.path.join(self.tmpdirname ,				VOCAB_FILES_NAMES['vocab_file']      )
       with open(self.vocab_file ,				'w' ,				encoding='utf-8'      ) as fp:
           fp.write(json.dumps(snake_case_      ) + '\n'      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				**snake_case_      )		->       List[str]:
       return MgpstrTokenizer.from_pretrained(self.tmpdirname ,				**snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       Optional[int]:
       UpperCamelCase__         =    'tester'
       UpperCamelCase__         =    'tester'
       return input_text, output_text

   @unittest.skip('MGP-STR always lower cases letters.'      )
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Any:
       pass

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[int]:
       UpperCamelCase__         =    self.get_tokenizers(do_lower_case=snake_case_      )
       for tokenizer in tokenizers:
           with self.subTest(F'{tokenizer.__class__.__name__}'      ):
               UpperCamelCase__         =    '[SPECIAL_TOKEN]'

               tokenizer.add_special_tokens({'cls_token': special_token}      )
               UpperCamelCase__         =    tokenizer.encode([special_token] ,				add_special_tokens=snake_case_      )
               self.assertEqual(len(snake_case_      ) ,				1      )

               UpperCamelCase__         =    tokenizer.decode(snake_case_ ,				skip_special_tokens=snake_case_      )
               self.assertTrue(special_token not in decoded      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[Any]:
       UpperCamelCase__         =    self.get_tokenizers()
       for tokenizer in tokenizers:
           with self.subTest(F'{tokenizer.__class__.__name__}'      ):
               UpperCamelCase__       ,						UpperCamelCase__         =    self.get_input_output_texts(snake_case_      )

               UpperCamelCase__         =    tokenizer.tokenize(snake_case_      )
               UpperCamelCase__         =    tokenizer.convert_tokens_to_ids(snake_case_      )
               UpperCamelCase__         =    tokenizer.encode(snake_case_ ,				add_special_tokens=snake_case_      )
               self.assertListEqual(snake_case_ ,				snake_case_      )

               UpperCamelCase__         =    tokenizer.convert_ids_to_tokens(snake_case_      )
               self.assertNotEqual(len(snake_case_      ) ,				0      )
               UpperCamelCase__         =    tokenizer.decode(snake_case_      )
               self.assertIsInstance(snake_case_ ,				snake_case_      )

               self.assertEqual(text_a.replace(' ' ,				''      ) ,				snake_case_      )

   @unittest.skip('MGP-STR tokenizer only handles one sequence.'      )
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Tuple:
       pass







   @unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'      )
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       pass












"""simple docstring"""





import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("""9.1.0"""):
  A__					: str=	{
      """linear""": PIL.Image.Resampling.BILINEAR,
      """bilinear""": PIL.Image.Resampling.BILINEAR,
      """bicubic""": PIL.Image.Resampling.BICUBIC,
      """lanczos""": PIL.Image.Resampling.LANCZOS,
      """nearest""": PIL.Image.Resampling.NEAREST,
  }
else:
  A__					: str=	{
      """linear""": PIL.Image.LINEAR,
      """bilinear""": PIL.Image.BILINEAR,
      """bicubic""": PIL.Image.BICUBIC,
      """lanczos""": PIL.Image.LANCZOS,
      """nearest""": PIL.Image.NEAREST,
  }







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    UpperCamelCase__         =    (images / 2 + 0.5).clamp(0 ,	1					)
    UpperCamelCase__         =    images.cpu().permute(0 ,	2 ,	3 ,	1					).float().numpy()
    UpperCamelCase__         =    numpy_to_pil(SCREAMING_SNAKE_CASE					)
    return images







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Optional[int]:
    """simple docstring"""

    if images.ndim == 3:
        UpperCamelCase__         =    images[None, ...]
    UpperCamelCase__         =    (images * 2_55).round().astype('uint8'					)
    if images.shape[-1] == 1:
        # special case for grayscale (single channel) images
        UpperCamelCase__         =    [Image.fromarray(image.squeeze() ,	mode='L'					) for image in images]
    else:
        UpperCamelCase__         =    [Image.fromarray(SCREAMING_SNAKE_CASE					) for image in images]

    return pil_images




