
'''simple docstring'''





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_       (						UpperCamelCase__				,							unittest.TestCase							):

 '''simple docstring'''
 lowercase_				:						Dict				=       HerbertTokenizer
 lowercase_				:						str				=       HerbertTokenizerFast
 lowercase_				:						Tuple				=       True
 def        UpperCamelCase     (				self		:     Dict   ):



   '''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:
     UpperCAmelCase__			:				Tuple												=       f_data.read().replace("\n\n" ,							"\n"   ).strip()

   UpperCAmelCase__			:				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>''',
   ]
   UpperCAmelCase__			:				List[str]												=       dict(zip(snake_case_ ,							range(len(snake_case_   )   )   )   )
   UpperCAmelCase__			:				List[Any]												=       ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

   UpperCAmelCase__			:				Any												=       os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES["vocab_file"]   )
   UpperCAmelCase__			:				Any												=       os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES["merges_file"]   )
   with open(self.vocab_file ,							"w"   ) as fp:
     fp.write(json.dumps(snake_case_   )   )
   with open(self.merges_file ,							"w"   ) as fp:
     fp.write("\n".join(snake_case_   )   )
 def        UpperCamelCase     (				self		:     int ,							snake_case__		:     Any   ):



   '''simple docstring'''




   UpperCAmelCase__			:				List[Any]												=       '''lower newer'''
   UpperCAmelCase__			:				Dict												=       '''lower newer'''
   return input_text, output_text
 def        UpperCamelCase     (				self		:     Optional[int]   ):



   '''simple docstring'''




   UpperCAmelCase__			:				Tuple												=       self.tokenizer_class(vocab_file=self.vocab_file ,							merges_file=self.merges_file   )

   UpperCAmelCase__			:				Optional[int]												=       '''lower'''
   UpperCAmelCase__			:				Optional[Any]												=       ['''low''', '''er</w>''']
   UpperCAmelCase__			:				List[str]												=       tokenizer.tokenize(snake_case_   )
   self.assertListEqual(snake_case_ ,							snake_case_   )

   UpperCAmelCase__			:				Dict												=       tokens + ['''<unk>''']
   UpperCAmelCase__			:				Union[str, Any]												=       [16, 17, 23]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_   ) ,							snake_case_   )
 def        UpperCamelCase     (				self		:     List[Any]   ):



   '''simple docstring'''




   if not self.test_rust_tokenizer:
     return

   UpperCAmelCase__			:				str												=       self.get_tokenizer()
   UpperCAmelCase__			:				List[str]												=       self.get_rust_tokenizer()

   UpperCAmelCase__			:				str												=       '''lower,newer'''

   UpperCAmelCase__			:				int												=       tokenizer.tokenize(snake_case_   )
   UpperCAmelCase__			:				Dict												=       rust_tokenizer.tokenize(snake_case_   )
   self.assertListEqual(snake_case_ ,							snake_case_   )

   UpperCAmelCase__			:				str												=       tokenizer.encode(snake_case_ ,							add_special_tokens=snake_case_   )
   UpperCAmelCase__			:				Union[str, Any]												=       rust_tokenizer.encode(snake_case_ ,							add_special_tokens=snake_case_   )
   self.assertListEqual(snake_case_ ,							snake_case_   )

   UpperCAmelCase__			:				Optional[Any]												=       self.get_rust_tokenizer()
   UpperCAmelCase__			:				Tuple												=       tokenizer.encode(snake_case_   )
   UpperCAmelCase__			:				int												=       rust_tokenizer.encode(snake_case_   )
   self.assertListEqual(snake_case_ ,							snake_case_   )







 @slow
 def        UpperCamelCase     (				self		:     int   ):



   '''simple docstring'''




   UpperCAmelCase__			:				Union[str, Any]												=       self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"   )

   UpperCAmelCase__			:				List[Any]												=       tokenizer.encode("konstruowanie sekwencji" ,							add_special_tokens=snake_case_   )
   UpperCAmelCase__			:				Tuple												=       tokenizer.encode("konstruowanie wielu sekwencji" ,							add_special_tokens=snake_case_   )

   UpperCAmelCase__			:				Optional[int]												=       tokenizer.build_inputs_with_special_tokens(snake_case_   )
   UpperCAmelCase__			:				Tuple												=       tokenizer.build_inputs_with_special_tokens(snake_case_ ,							snake_case_   )

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





'''simple docstring'''





from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE    =					{
    """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:
      SCREAMING_SNAKE_CASE    =					[
          """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """DonutSwinModel""",
          """DonutSwinPreTrainedModel""",
      ]

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

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



