
'''simple docstring'''






from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class 							_snake_case     (  _lowercase ):
	"""simple docstring"""





	_UpperCamelCase							:  Optional[Any]								=		SqueezeBertTokenizer
	_UpperCamelCase							:  str								=		SqueezeBertTokenizerFast
	_UpperCamelCase							:  Any								=		True




	def 	__A      (						self				: Dict					,						**UpperCamelCase_				: str      ):
			return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname					,						**UpperCamelCase__      )





	@slow
	def 	__A      (						self				: List[Any]      ):
			lowerCAmelCase_   :       Any    							=SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''      )

			lowerCAmelCase_   :       Union[str, Any]    							=tokenizer.encode('''sequence builders'''					,						add_special_tokens=UpperCamelCase__      )
			lowerCAmelCase_   :       str    							=tokenizer.encode('''multi-sequence build'''					,						add_special_tokens=UpperCamelCase__      )

			lowerCAmelCase_   :       Optional[int]    							=tokenizer.build_inputs_with_special_tokens(UpperCamelCase__      )
			lowerCAmelCase_   :       Any    							=tokenizer.build_inputs_with_special_tokens(UpperCamelCase__					,						UpperCamelCase__      )

			assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
			assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
			    tokenizer.sep_token_id
			]














'''simple docstring'''







import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
			from PIL import Image

class _lowercase      (							unittest.TestCase							, _lowercase						):




							def 						lowerCamelCase_							(				self:							Tuple	):
														lowerCamelCase__   :      Optional[Any]			    =			load_tool("""image-captioning"""	)
														self.tool.setup()
														lowerCamelCase__   :      Optional[Any]			    =			load_tool("""image-captioning"""     ,				remote=UpperCamelCase__	)




							def 						lowerCamelCase_							(				self:							int	):
														lowerCamelCase__   :      List[Any]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Optional[Any]			    =			self.tool(UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							Union[str, Any]	):
														lowerCamelCase__   :      Tuple			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Dict			    =			self.remote_tool(UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							str	):
														lowerCamelCase__   :      Optional[int]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      str			    =			self.tool(image=UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)




							def 						lowerCamelCase_							(				self:							Union[str, Any]	):
														lowerCamelCase__   :      Optional[int]			    =			Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""	)	) / """000000039769.png"""	)
														lowerCamelCase__   :      Optional[int]			    =			self.remote_tool(image=UpperCamelCase__	)
														self.assertEqual(UpperCamelCase__     ,				"""two cats sleeping on a couch"""	)

