
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 				UpperCamelCase__		(	__SCREAMING_SNAKE_CASE       ,    unittest.TestCase	):






       """simple docstring"""


       UpperCAmelCase_				       =HerbertTokenizer
       UpperCAmelCase_				       =HerbertTokenizerFast
       UpperCAmelCase_				       =True



       def     _UpperCamelCase	(							self	)				->				Tuple:
          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_	=      f_data.read().replace('''\n\n''' ,     '''\n'''	).strip()

          SCREAMING_SNAKE_CASE_	=      [
              '''<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_	=      dict(zip(_A ,     range(len(_A	)	)	)	)
          SCREAMING_SNAKE_CASE_	=      ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

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



       def     _UpperCamelCase	(							self ,     _A	)				->				Tuple:
          SCREAMING_SNAKE_CASE_	=      '''lower newer'''
          SCREAMING_SNAKE_CASE_	=      '''lower newer'''
          return input_text, output_text



       def     _UpperCamelCase	(							self	)				->				Optional[Any]:
          SCREAMING_SNAKE_CASE_	=      self.tokenizer_class(vocab_file=self.vocab_file ,     merges_file=self.merges_file	)

          SCREAMING_SNAKE_CASE_	=      '''lower'''
          SCREAMING_SNAKE_CASE_	=      ['''low''', '''er</w>''']
          SCREAMING_SNAKE_CASE_	=      tokenizer.tokenize(_A	)
          self.assertListEqual(_A ,     _A	)

          SCREAMING_SNAKE_CASE_	=      tokens + ['''<unk>''']
          SCREAMING_SNAKE_CASE_	=      [16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_A	) ,     _A	)



       def     _UpperCamelCase	(							self	)				->				Tuple:
          if not self.test_rust_tokenizer:
             return

          SCREAMING_SNAKE_CASE_	=      self.get_tokenizer()
          SCREAMING_SNAKE_CASE_	=      self.get_rust_tokenizer()

          SCREAMING_SNAKE_CASE_	=      '''lower,newer'''

          SCREAMING_SNAKE_CASE_	=      tokenizer.tokenize(_A	)
          SCREAMING_SNAKE_CASE_	=      rust_tokenizer.tokenize(_A	)
          self.assertListEqual(_A ,     _A	)

          SCREAMING_SNAKE_CASE_	=      tokenizer.encode(_A ,     add_special_tokens=_A	)
          SCREAMING_SNAKE_CASE_	=      rust_tokenizer.encode(_A ,     add_special_tokens=_A	)
          self.assertListEqual(_A ,     _A	)

          SCREAMING_SNAKE_CASE_	=      self.get_rust_tokenizer()
          SCREAMING_SNAKE_CASE_	=      tokenizer.encode(_A	)
          SCREAMING_SNAKE_CASE_	=      rust_tokenizer.encode(_A	)
          self.assertListEqual(_A ,     _A	)




       @slow
       def     _UpperCamelCase	(							self	)				->				List[str]:
          SCREAMING_SNAKE_CASE_	=      self.tokenizer_class.from_pretrained('''allegro/herbert-base-cased'''	)

          SCREAMING_SNAKE_CASE_	=      tokenizer.encode('''konstruowanie sekwencji''' ,     add_special_tokens=_A	)
          SCREAMING_SNAKE_CASE_	=      tokenizer.encode('''konstruowanie wielu sekwencji''' ,     add_special_tokens=_A	)

          SCREAMING_SNAKE_CASE_	=      tokenizer.build_inputs_with_special_tokens(_A	)
          SCREAMING_SNAKE_CASE_	=      tokenizer.build_inputs_with_special_tokens(_A ,     _A	)

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




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCAmelCase   						=     {
    "configuration_donut_swin": ["DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "DonutSwinConfig"],
    "processing_donut": ["DonutProcessor"],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase   						=     [
       "DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
       "DonutSwinModel",
       "DonutSwinPreTrainedModel",
   ]

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase   						=     ["DonutFeatureExtractor"]
   __UpperCAmelCase   						=     ["DonutImageProcessor"]


if TYPE_CHECKING:
   from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
   from .processing_donut import DonutProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_donut_swin import (
          DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
          DonutSwinModel,
          DonutSwinPreTrainedModel,
      )

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_donut import DonutFeatureExtractor
      from .image_processing_donut import DonutImageProcessor

else:
   import sys

   __UpperCAmelCase   						=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


