




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     UpperCamelCase_   (			UpperCAmelCase__		, unittest.TestCase					):

    '''simple docstring'''






    UpperCAmelCase__							  =				MgpstrTokenizer
    UpperCAmelCase__							  =				False
    UpperCAmelCase__							  =				{}
    UpperCAmelCase__							  =				False


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->List[str]:





           '''simple docstring'''

           super().setUp()

           # fmt: off
           A__							=   ['''[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
           A__							=   dict(zip(UpperCAmelCase__ ,			range(len(UpperCAmelCase__))))

           A__							=   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(UpperCAmelCase__) + '''\n''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str] ,			**UpperCAmelCase__				:     Optional[Any])						->Dict:





           '''simple docstring'''

           return MgpstrTokenizer.from_pretrained(self.tmpdirname ,			**UpperCAmelCase__)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int] ,			UpperCAmelCase__				:     Any)						->Dict:





           '''simple docstring'''

           A__							=   '''tester'''
           A__							=   '''tester'''
           return input_text, output_text


    @unittest.skip('''MGP-STR always lower cases letters.''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str])						->Any:





           '''simple docstring'''

           pass


    def 	SCREAMING_SNAKE_CASE							(      self				:     Union[str, Any])						->Dict:





           '''simple docstring'''

           A__							=   self.get_tokenizers(do_lower_case=UpperCAmelCase__)
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         A__							=   '''[SPECIAL_TOKEN]'''

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

                         A__							=   tokenizer.decode(UpperCAmelCase__ ,			skip_special_tokens=UpperCAmelCase__)
                         self.assertTrue(special_token not in decoded)


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->Dict:





           '''simple docstring'''

           A__							=   self.get_tokenizers()
           for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""):
                         A__			,							A__							=   self.get_input_output_texts(UpperCAmelCase__)

                         A__							=   tokenizer.tokenize(UpperCAmelCase__)
                         A__							=   tokenizer.convert_tokens_to_ids(UpperCAmelCase__)
                         A__							=   tokenizer.encode(UpperCAmelCase__ ,			add_special_tokens=UpperCAmelCase__)
                         self.assertListEqual(UpperCAmelCase__ ,			UpperCAmelCase__)

                         A__							=   tokenizer.convert_ids_to_tokens(UpperCAmelCase__)
                         self.assertNotEqual(len(UpperCAmelCase__) ,			0)
                         A__							=   tokenizer.decode(UpperCAmelCase__)
                         self.assertIsInstance(UpperCAmelCase__ ,			UpperCAmelCase__)

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


    @unittest.skip('''MGP-STR tokenizer only handles one sequence.''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any])						->int:





           '''simple docstring'''

           pass





    @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer''')
    def 	SCREAMING_SNAKE_CASE							(      self				:     Any)						->int:





           '''simple docstring'''

           pass








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


_lowerCamelCase     :		Union[str, Any]								=       {
    """configuration_swiftformer""": [
        """SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SwiftFormerConfig""",
        """SwiftFormerOnnxConfig""",
    ]
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase     :		Union[str, Any]								=       [
      """SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SwiftFormerForImageClassification""",
      """SwiftFormerModel""",
      """SwiftFormerPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_swiftformer import (
      SWIFTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      SwiftFormerConfig,
      SwiftFormerOnnxConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_swiftformer import (
        SWIFTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        SwiftFormerForImageClassification,
        SwiftFormerModel,
        SwiftFormerPreTrainedModel,
    )

else:
  import sys

  _lowerCamelCase     :		str								=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


