


import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class        UpperCamelCase__   (	__magic_name__							,				unittest.TestCase   ):
     __SCREAMING_SNAKE_CASE       :  Any						=   TransfoXLTokenizer
     __SCREAMING_SNAKE_CASE       :  Tuple						=   False
     __SCREAMING_SNAKE_CASE       :  List[Any]						=   False

     def   UpperCAmelCase__       (     self       :   int       ):






          '''simple docstring'''






          super().setUp()

          lowercase_  							=			[
              """<unk>""",
              """[CLS]""",
              """[SEP]""",
              """want""",
              """unwanted""",
              """wa""",
              """un""",
              """running""",
              """,""",
              """low""",
              """l""",
          ]
          lowercase_  							=			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       :   Tuple							,					**UpperCamelCase__       :   Union[str, Any]       ):






          '''simple docstring'''






          lowercase_  							=			True
          return TransfoXLTokenizer.from_pretrained(self.tmpdirname							,					**UpperCamelCase__       )

     def   UpperCAmelCase__       (     self       :   Optional[int]							,					UpperCamelCase__       :   List[Any]       ):






          '''simple docstring'''






          lowercase_  							=			"""<unk> UNwanted , running"""
          lowercase_  							=			"""<unk> unwanted, running"""
          return input_text, output_text

     def   UpperCAmelCase__       (     self       :   Optional[int]       ):






          '''simple docstring'''






          lowercase_  							=			TransfoXLTokenizer(vocab_file=self.vocab_file							,					lower_case=UpperCamelCase__       )

          lowercase_  							=			tokenizer.tokenize("""<unk> UNwanted , running"""       )
          self.assertListEqual(UpperCamelCase__							,					["""<unk>""", """unwanted""", """,""", """running"""]       )

          self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__       )							,					[0, 4, 8, 7]       )

     def   UpperCAmelCase__       (     self       :   Tuple       ):






          '''simple docstring'''






          lowercase_  							=			TransfoXLTokenizer(lower_case=UpperCamelCase__       )

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

     def   UpperCAmelCase__       (     self       :   Any       ):






          '''simple docstring'''






          lowercase_  							=			TransfoXLTokenizer(lower_case=UpperCamelCase__       )

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

     def   UpperCAmelCase__       (     self       :   Union[str, Any]       ):






          '''simple docstring'''






          lowercase_  							=			TransfoXLTokenizer(lower_case=UpperCamelCase__       )
          lowercase_  							=			"""Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"""
          lowercase_  							=			[
              """Hello""",
              """(""",
              """bracket""",
              """)""",
              """and""",
              """side""",
              """@-@""",
              """scrolled""",
              """[""",
              """and""",
              """]""",
              """Henry""",
              """'s""",
              """$""",
              """5""",
              """@,@""",
              """000""",
              """with""",
              """3""",
              """@.@""",
              """34""",
              """m""",
              """.""",
              """What""",
              """'s""",
              """up""",
              """!""",
              """?""",
          ]

          self.assertListEqual(tokenizer.tokenize(UpperCamelCase__       )							,					UpperCamelCase__       )

          self.assertEqual(tokenizer.convert_tokens_to_string(UpperCamelCase__       )							,					UpperCamelCase__       )







     def   UpperCAmelCase__       (     self       :   Optional[int]       ):






          '''simple docstring'''






          lowercase_  							=			self.get_tokenizer()
          lowercase_  							=			len(UpperCamelCase__       )

          tokenizer.add_tokens(["""new1""", """new2"""]       )
          tokenizer.move_added_token("""new1"""							,					1       )

          # Check that moved token is not copied (duplicate)
          self.assertEqual(len(UpperCamelCase__       )							,					original_len + 2       )
          # Check that token is moved to specified id
          self.assertEqual(tokenizer.encode("""new1"""       )							,					[1]       )
          self.assertEqual(tokenizer.decode([1]       )							,					"""new1"""       )






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					  =     {
							    '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					  =     {
							    'linear': PIL.Image.LINEAR,
							    'bilinear': PIL.Image.BILINEAR,
							    'bicubic': PIL.Image.BICUBIC,
							    'lanczos': PIL.Image.LANCZOS,
							    'nearest': PIL.Image.NEAREST,
							}


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					lowercase_  							=			(images / 2 + 0.5).clamp(0						,							1  )
					lowercase_  							=			images.cpu().permute(0						,							2						,							3						,							1  ).float().numpy()
					lowercase_  							=			numpy_to_pil(UpperCAmelCase__  )
					return images



def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					if images.ndim == 3:
										lowercase_  							=			images[None, ...]
					lowercase_  							=			(images * 2_5_5).round().astype("""uint8"""  )
					if images.shape[-1] == 1:
										# special case for grayscale (single channel) images
										lowercase_  							=			[Image.fromarray(image.squeeze()						,							mode="""L"""  ) for image in images]
					else:
										lowercase_  							=			[Image.fromarray(UpperCAmelCase__  ) for image in images]

					return pil_images


