
"""simple docstring"""




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		( SCREAMING_SNAKE_CASE__	,  unittest.TestCase		):
							lowercase_	:	List[Any]	 =MgpstrTokenizer
							lowercase_	:	int	 =False
							lowercase_	:	int	 ={}
							lowercase_	:	List[str]	 =False




							def 			A__				(    self):
												super().setUp()

												# fmt: off
												lowercase						     =						['[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
												lowercase						     =						dict(zip(_A       ,range(len(_A))))

												lowercase						     =						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(_A) + '''\n''')




							def 			A__				(    self       ,**A__):
												return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,**_A)




							def 			A__				(    self       ,A__):
												lowercase						     =						'tester'
												lowercase						     =						'tester'
												return input_text, output_text




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




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

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

																						lowercase						     =						tokenizer.decode(_A       ,skip_special_tokens=_A)
																						self.assertTrue(special_token not in decoded)




							def 			A__				(    self):
												lowercase						     =						self.get_tokenizers()
												for tokenizer in tokenizers:
																	with self.subTest(f'{tokenizer.__class__.__name__}'):
																						lowercase						     =						self.get_input_output_texts(_A)

																						lowercase						     =						tokenizer.tokenize(_A)
																						lowercase						     =						tokenizer.convert_tokens_to_ids(_A)
																						lowercase						     =						tokenizer.encode(_A       ,add_special_tokens=_A)
																						self.assertListEqual(_A       ,_A)

																						lowercase						     =						tokenizer.convert_ids_to_tokens(_A)
																						self.assertNotEqual(len(_A)       ,0)
																						lowercase						     =						tokenizer.decode(_A)
																						self.assertIsInstance(_A       ,_A)

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




							@unittest.skip('''MGP-STR tokenizer only handles one sequence.''')
							def 			A__				(    self):
												pass





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






from typing import TYPE_CHECKING

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


lowercase__		:str			  =   {"configuration_vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig", "ViTOnnxConfig"]}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__		:str			  =   ["ViTFeatureExtractor"]
							lowercase__		:int			  =   ["ViTImageProcessor"]

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

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__		:Any			  =   [
							    "TFViTForImageClassification",
							    "TFViTModel",
							    "TFViTPreTrainedModel",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__		:Optional[int]			  =   [
							    "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

							lowercase__		:Dict			  =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




