


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 							lowercase  (						_UpperCAmelCase    ,       unittest.TestCase			):
     lowerCamelCase			:			Union[str, Any]      = MgpstrTokenizer
     lowerCamelCase			:			Tuple      = False
     lowerCamelCase			:			str      = {}
     lowerCamelCase			:			Dict      = False







     def 							lowercase__       (						self :						Dict      ):
           super().setUp()

           # fmt: off
           SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		['''[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
           SCREAMING_SNAKE_CASE__       :  str						     =		dict(zip(_lowercase   ,   range(len(_lowercase      )      )      )      )

           SCREAMING_SNAKE_CASE__       :  List[str]						     =		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(_lowercase      ) + '''\n'''      )







     def 							lowercase__       (						self :						Any   ,   **_lowercase :						List[Any]      ):
           return MgpstrTokenizer.from_pretrained(self.tmpdirname   ,   **_lowercase      )







     def 							lowercase__       (						self :						int   ,   _lowercase :						List[str]      ):
           SCREAMING_SNAKE_CASE__       :  Tuple						     =		'''tester'''
           SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		'''tester'''
           return input_text, output_text







     @unittest.skip('''MGP-STR always lower cases letters.'''      )
     def 							lowercase__       (						self :						Dict      ):
           pass







     def 							lowercase__       (						self :						str      ):
           SCREAMING_SNAKE_CASE__       :  Dict						     =		self.get_tokenizers(do_lower_case=_lowercase      )
           for tokenizer in tokenizers:
                 with self.subTest(f"""{tokenizer.__class__.__name__}"""      ):
                       SCREAMING_SNAKE_CASE__       :  List[str]						     =		'''[SPECIAL_TOKEN]'''

                       tokenizer.add_special_tokens({'''cls_token''': special_token}      )
                       SCREAMING_SNAKE_CASE__       :  List[Any]						     =		tokenizer.encode([special_token]   ,   add_special_tokens=_lowercase      )
                       self.assertEqual(len(_lowercase      )   ,   1      )

                       SCREAMING_SNAKE_CASE__       :  Optional[int]						     =		tokenizer.decode(_lowercase   ,   skip_special_tokens=_lowercase      )
                       self.assertTrue(special_token not in decoded      )







     def 							lowercase__       (						self :						Dict      ):
           SCREAMING_SNAKE_CASE__       :  List[Any]						     =		self.get_tokenizers()
           for tokenizer in tokenizers:
                 with self.subTest(f"""{tokenizer.__class__.__name__}"""      ):
                       SCREAMING_SNAKE_CASE__     ,       SCREAMING_SNAKE_CASE__       :  Union[str, Any]						     =		self.get_input_output_texts(_lowercase      )

                       SCREAMING_SNAKE_CASE__       :  Any						     =		tokenizer.tokenize(_lowercase      )
                       SCREAMING_SNAKE_CASE__       :  List[Any]						     =		tokenizer.convert_tokens_to_ids(_lowercase      )
                       SCREAMING_SNAKE_CASE__       :  str						     =		tokenizer.encode(_lowercase   ,   add_special_tokens=_lowercase      )
                       self.assertListEqual(_lowercase   ,   _lowercase      )

                       SCREAMING_SNAKE_CASE__       :  int						     =		tokenizer.convert_ids_to_tokens(_lowercase      )
                       self.assertNotEqual(len(_lowercase      )   ,   0      )
                       SCREAMING_SNAKE_CASE__       :  str						     =		tokenizer.decode(_lowercase      )
                       self.assertIsInstance(_lowercase   ,   _lowercase      )

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







     @unittest.skip('''MGP-STR tokenizer only handles one sequence.'''      )
     def 							lowercase__       (						self :						Optional[int]      ):
           pass







     @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''      )
     def 							lowercase__       (						self :						int      ):
           pass











"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


A		=						{'configuration_vit': ['VIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTConfig', 'ViTOnnxConfig']}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A		=						['ViTFeatureExtractor']
			A		=						['ViTImageProcessor']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A		=						[
			    'VIT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ViTForImageClassification',
			    'ViTForMaskedImageModeling',
			    'ViTModel',
			    'ViTPreTrainedModel',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A		=						[
			    'TFViTForImageClassification',
			    'TFViTModel',
			    'TFViTPreTrainedModel',
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			A		=						[
			    'FlaxViTForImageClassification',
			    'FlaxViTModel',
			    'FlaxViTPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_vit import ViTFeatureExtractor
						from .image_processing_vit import ViTImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_vit import (
						    VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ViTForImageClassification,
						    ViTForMaskedImageModeling,
						    ViTModel,
						    ViTPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
			import sys

			A		=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



